Package evaluation to test MetaICVI on Julia 1.10.10 (c8be17dcfd*) started at 2026-02-03T00:01:51.287 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.10` Set-up completed after 3.83s ################################################################################ # Installation # Installing MetaICVI... Resolving package versions... Installed Conda ── v1.10.3 Installed PyCall ─ v1.96.4 Installed HDF5 ─── v0.14.1 Updating `~/.julia/environments/v1.10/Project.toml` [778c5047] + MetaICVI v0.1.3 Updating `~/.julia/environments/v1.10/Manifest.toml` [79e6a3ab] + Adapt v4.4.0 [a74b3585] + Blosc v0.7.3 [2fefd308] + ClusterValidityIndices v0.6.4 ⌅ [34da2185] + Compat v3.47.0 [8f4d0f93] + Conda v1.10.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 ⌃ [a93c6f00] + DataFrames v1.3.6 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [ffbed154] + DocStringExtensions v0.9.5 [fdbdab4c] + ElasticArrays v1.2.12 [5789e2e9] + FileIO v1.18.0 [59287772] + Formatting v0.4.3 ⌅ [f67ccb44] + HDF5 v0.14.1 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [4138dd39] + JLD v0.12.5 ⌅ [033835bb] + JLD2 v0.4.55 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.16 [778c5047] + MetaICVI v0.1.3 [e1d29d7a] + Missings v1.2.0 [be9b823e] + NumericalTypeAliases v0.2.4 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [2dfb63ee] + PooledArrays v1.4.3 [91cefc8d] + PrecompileSignatures v3.0.3 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.1 ⌅ [08abe8d2] + PrettyTables v1.3.1 [49802e3a] + ProgressBars v1.5.1 [92933f4c] + ProgressMeter v1.11.0 [438e738f] + PyCall v1.96.4 [de320387] + PyCallJLD v0.2.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 ⌅ [3646fa90] + ScikitLearn v0.6.6 [6e75b9c4] + ScikitLearnBase v0.5.0 [a2af1166] + SortingAlgorithms v1.2.2 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [ec057cc2] + StructUtils v2.6.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [3bb67fe8] + TranscodingStreams v0.11.3 [3a884ed6] + UnPack v1.0.2 [81def892] + VersionParsing v1.3.0 [0b7ba130] + Blosc_jll v1.21.7+0 ⌅ [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.2+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [5ced341a] + Lz4_jll v1.10.1+0 [7cb0a576] + MPICH_jll v4.3.2+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.9+0 [458c3c95] + OpenSSL_jll v3.5.5+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.18.1+0 [3161d3a3] + Zstd_jll v1.5.7+1 [477f73a3] + libaec_jll v1.1.5+0 [0dad84c5] + ArgTools v1.1.1 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching [9fa8497b] + Future [b77e0a4c] + InteractiveUtils [4af54fe1] + LazyArtifacts [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.10.0 [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [1a1011a3] + SharedArrays [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.4.0+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.23+5 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.52.0+1 [3f19e933] + p7zip_jll v17.4.0+2 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` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Building HDF5 ──→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/96d77533eb46e208e801b939db8a27626c166565/build.log` Installation completed after 88.03s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 1928.1 ms ✓ Conda 3125.7 ms ✓ HDF5 11924.8 ms ✓ PyCall 3188.8 ms ✓ JLD 15167.2 ms ✓ ScikitLearn 13788.6 ms ✓ PyCallJLD 48078.0 ms ✓ MetaICVI 7 dependencies successfully precompiled in 103 seconds. 75 already precompiled. Precompilation completed after 119.67s ################################################################################ # Testing # Testing MetaICVI Status `/tmp/jl_xDzF6q/Project.toml` [3d72adc0] AdaptiveResonance v0.8.5 [2fefd308] ClusterValidityIndices v0.6.4 [8bb1440f] DelimitedFiles v1.9.1 [ffbed154] DocStringExtensions v0.9.5 ⌅ [4138dd39] JLD v0.12.5 ⌅ [033835bb] JLD2 v0.4.55 [778c5047] MetaICVI v0.1.3 [be9b823e] NumericalTypeAliases v0.2.4 [d96e819e] Parameters v0.12.3 [92933f4c] ProgressMeter v1.11.0 [438e738f] PyCall v1.96.4 [de320387] PyCallJLD v0.2.1 [1bc83da4] SafeTestsets v0.1.0 ⌅ [3646fa90] ScikitLearn v0.6.6 ⌅ [2913bbd2] StatsBase v0.33.21 [56ddb016] Logging [9a3f8284] Random [10745b16] Statistics v1.10.0 [8dfed614] Test Status `/tmp/jl_xDzF6q/Manifest.toml` [79e6a3ab] Adapt v4.4.0 [3d72adc0] AdaptiveResonance v0.8.5 [a74b3585] Blosc v0.7.3 [2fefd308] ClusterValidityIndices v0.6.4 ⌅ [34da2185] Compat v3.47.0 [8f4d0f93] Conda v1.10.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 ⌃ [a93c6f00] DataFrames v1.3.6 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [ffbed154] DocStringExtensions v0.9.5 [fdbdab4c] ElasticArrays v1.2.12 [5789e2e9] FileIO v1.18.0 [59287772] Formatting v0.4.3 ⌅ [f67ccb44] HDF5 v0.14.1 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [4138dd39] JLD v0.12.5 ⌅ [033835bb] JLD2 v0.4.55 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 [778c5047] MetaICVI v0.1.3 [e1d29d7a] Missings v1.2.0 [be9b823e] NumericalTypeAliases v0.2.4 [bac558e1] OrderedCollections v1.8.1 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [2dfb63ee] PooledArrays v1.4.3 [91cefc8d] PrecompileSignatures v3.0.3 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.1 ⌅ [08abe8d2] PrettyTables v1.3.1 [49802e3a] ProgressBars v1.5.1 [92933f4c] ProgressMeter v1.11.0 [438e738f] PyCall v1.96.4 [de320387] PyCallJLD v0.2.1 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [1bc83da4] SafeTestsets v0.1.0 ⌅ [3646fa90] ScikitLearn v0.6.6 [6e75b9c4] ScikitLearnBase v0.5.0 [a2af1166] SortingAlgorithms v1.2.2 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [ec057cc2] StructUtils v2.6.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [3bb67fe8] TranscodingStreams v0.11.3 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [0b7ba130] Blosc_jll v1.21.7+0 ⌅ [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.2+0 [94ce4f54] Libiconv_jll v1.18.0+0 [5ced341a] Lz4_jll v1.10.1+0 [7cb0a576] MPICH_jll v4.3.2+0 [f1f71cc9] MPItrampoline_jll v5.5.4+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [fe0851c0] OpenMPI_jll v5.0.9+0 [458c3c95] OpenSSL_jll v3.5.5+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [a65dc6b1] Xorg_libpciaccess_jll v0.18.1+0 [3161d3a3] Zstd_jll v1.5.7+1 [477f73a3] libaec_jll v1.1.5+0 [0dad84c5] ArgTools v1.1.1 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [8ba89e20] Distributed [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching [9fa8497b] Future [b77e0a4c] InteractiveUtils [4af54fe1] LazyArtifacts [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.10.0 [de0858da] Printf [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [1a1011a3] SharedArrays [6462fe0b] Sockets [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.23+5 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 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-26.1.0 | py312h06a4308_0 1.3 MB anaconda ------------------------------------------------------------ Total: 1.3 MB The following packages will be UPDATED: conda conda-forge::conda-25.11.0-py312h7900~ --> anaconda::conda-26.1.0-py312h06a4308_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Running `conda install -q -y -c conda-forge 'libstdcxx-ng>=3.4,<13.0'` 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: - libstdcxx-ng[version='>=3.4,<13.0'] The following packages will be downloaded: package | build ---------------------------|----------------- libgcc-15.2.0 | h767d61c_6 804 KB conda-forge libgcc-ng-15.2.0 | h69a702a_6 29 KB conda-forge libgomp-15.2.0 | h767d61c_6 438 KB conda-forge libstdcxx-15.2.0 | h8f9b012_6 3.7 MB conda-forge libstdcxx-ng-12.3.0 | hc0a3c3a_7 3.3 MB conda-forge ------------------------------------------------------------ Total: 8.3 MB The following packages will be DOWNGRADED: libstdcxx-ng 15.2.0-hdf11a46_15 --> 12.3.0-hc0a3c3a_7 The following packages will be REVISED: libgcc 15.2.0-he0feb66_15 --> 15.2.0-h767d61c_6 libgcc-ng 15.2.0-h69a702a_15 --> 15.2.0-h69a702a_6 libgomp 15.2.0-he0feb66_15 --> 15.2.0-h767d61c_6 libstdcxx 15.2.0-h934c35e_15 --> 15.2.0-h8f9b012_6 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 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-1.5.3 | pyhd8ed1ab_0 221 KB conda-forge scikit-learn-1.8.0 |np2py312h3226591_1 9.3 MB conda-forge scipy-1.17.0 | py312h54fa4ab_1 16.1 MB conda-forge threadpoolctl-3.6.0 | pyhecae5ae_0 23 KB conda-forge ------------------------------------------------------------ Total: 25.6 MB The following NEW packages will be INSTALLED: joblib conda-forge/noarch::joblib-1.5.3-pyhd8ed1ab_0 scikit-learn conda-forge/linux-64::scikit-learn-1.8.0-np2py312h3226591_1 scipy conda-forge/linux-64::scipy-1.17.0-py312h54fa4ab_1 threadpoolctl conda-forge/noarch::threadpoolctl-3.6.0-pyhecae5ae_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done MetaICVI.jl: Error During Test at /home/pkgeval/.julia/packages/MetaICVI/QKFOt/test/test_sets.jl:15 Got exception outside of a @test 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. ) ImportError("/opt/julia/bin/../lib/julia/libstdc++.so.6: version `CXXABI_1.3.15' not found (required by /home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/spatial/_distance_pybind.cpython-312-x86_64-linux-gnu.so)") File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/__init__.py", line 70, in from sklearn.base import clone # noqa: E402 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/base.py", line 19, in from sklearn.utils._metadata_requests import _MetadataRequester, _routing_enabled File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/utils/__init__.py", line 9, in from sklearn.utils._chunking import gen_batches, gen_even_slices File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/utils/_chunking.py", line 11, in from sklearn.utils._param_validation import Interval, validate_params File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/utils/_param_validation.py", line 17, in from sklearn.utils.validation import _is_arraylike_not_scalar File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/utils/validation.py", line 24, in from sklearn.utils._array_api import ( File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/utils/_array_api.py", line 20, in from sklearn.utils.fixes import parse_version File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/utils/fixes.py", line 16, in import scipy.stats File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/stats/__init__.py", line 628, in from ._stats_py import * File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/stats/_stats_py.py", line 40, in from scipy.spatial import distance_matrix File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/spatial/__init__.py", line 117, in from ._geometric_slerp import geometric_slerp File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/spatial/_geometric_slerp.py", line 7, in from scipy.spatial.distance import euclidean File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/spatial/distance.py", line 117, in from . import _hausdorff, _distance_pybind, _distance_wrap 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:722 [3] pyimport_conda @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [inlined] [4] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/Wvn7B/src/Skcore.jl:215 [5] macro expansion @ ~/.julia/packages/ScikitLearn/Wvn7B/src/Skcore.jl:253 [inlined] [6] top-level scope @ ~/.julia/packages/MetaICVI/QKFOt/src/meta-icvi/meta-icvi.jl:149 [7] eval @ ./boot.jl:385 [inlined] [8] MetaICVI.MetaICVIModule(opts::MetaICVI.MetaICVIOpts) @ MetaICVI ~/.julia/packages/MetaICVI/QKFOt/src/meta-icvi/meta-icvi.jl:147 [9] macro expansion @ ~/.julia/packages/MetaICVI/QKFOt/test/test_sets.jl:28 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1582 [inlined] [11] top-level scope @ ~/.julia/packages/MetaICVI/QKFOt/test/test_sets.jl:17 [12] include(mod::Module, _path::String) @ Base ./Base.jl:495 [13] include(x::String) @ Main.var"##All Test Sets#225" ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [14] macro expansion @ ~/.julia/packages/MetaICVI/QKFOt/test/runtests.jl:11 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1582 [inlined] [16] macro expansion @ ~/.julia/packages/MetaICVI/QKFOt/test/runtests.jl:11 [inlined] [17] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [18] eval(m::Module, e::Any) @ Core ./boot.jl:385 [19] top-level scope @ ~/.julia/packages/MetaICVI/QKFOt/test/runtests.jl:28 [20] include(fname::String) @ Base.MainInclude ./client.jl:487 [21] 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] pyimport_conda @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [inlined] [4] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/Wvn7B/src/Skcore.jl:215 [5] macro expansion @ ~/.julia/packages/ScikitLearn/Wvn7B/src/Skcore.jl:253 [inlined] [6] top-level scope @ ~/.julia/packages/MetaICVI/QKFOt/src/meta-icvi/meta-icvi.jl:149 [7] eval @ ./boot.jl:385 [inlined] [8] MetaICVI.MetaICVIModule(opts::MetaICVI.MetaICVIOpts) @ MetaICVI ~/.julia/packages/MetaICVI/QKFOt/src/meta-icvi/meta-icvi.jl:147 [9] macro expansion @ ~/.julia/packages/MetaICVI/QKFOt/test/test_sets.jl:28 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1582 [inlined] [11] top-level scope @ ~/.julia/packages/MetaICVI/QKFOt/test/test_sets.jl:17 [12] include(mod::Module, _path::String) @ Base ./Base.jl:495 [13] include(x::String) @ Main.var"##All Test Sets#225" ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [14] macro expansion @ ~/.julia/packages/MetaICVI/QKFOt/test/runtests.jl:11 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1582 [inlined] [16] macro expansion @ ~/.julia/packages/MetaICVI/QKFOt/test/runtests.jl:11 [inlined] [17] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [18] eval(m::Module, e::Any) @ Core ./boot.jl:385 [19] top-level scope @ ~/.julia/packages/MetaICVI/QKFOt/test/runtests.jl:28 [20] include(fname::String) @ Base.MainInclude ./client.jl:487 [21] top-level scope @ none:6 Test Summary: | Pass Error Total Time All Test Sets | 1 1 2 3m04.0s MetaICVI.jl | 1 1 1m31.7s Rocket.jl | 1 1 1m27.8s ERROR: LoadError: Some tests did not pass: 1 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MetaICVI/QKFOt/test/runtests.jl:10 Testing failed after 196.39s ERROR: LoadError: Package MetaICVI errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Types.jl:70 [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/v1.10/Pkg/src/Operations.jl:2034 [3] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [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::Base.PipeEndpoint}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:444 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::Base.PipeEndpoint, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 457.21s: package tests unexpectedly errored