Package evaluation to test PyCallJLD2 on Julia 1.11.7 (58327cce5e*) started at 2025-10-28T19:45:50.334 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.76s ################################################################################ # Installation # Installing PyCallJLD2... Resolving package versions... Installed Conda ── v1.10.3 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.11/Project.toml` [07b0ad8c] + PyCallJLD2 v0.1.2 Updating `~/.julia/environments/v1.11/Manifest.toml` [8f4d0f93] + Conda v1.10.3 [ffbed154] + DocStringExtensions v0.9.5 [5789e2e9] + FileIO v1.17.1 ⌅ [033835bb] + JLD2 v0.4.55 [682c06a0] + JSON v1.2.0 [1914dd2f] + MacroTools v0.5.16 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.0 [438e738f] + PyCall v1.96.4 [07b0ad8c] + PyCallJLD2 v0.1.2 [ae029012] + Requires v1.3.1 [ec057cc2] + StructUtils v2.5.1 [3bb67fe8] + TranscodingStreams v0.11.3 [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 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching 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 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [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 [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. To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall →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 75.72s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 75.58s ################################################################################ # Testing # Testing PyCallJLD2 Status `/tmp/jl_Q4av5Q/Project.toml` [ffbed154] DocStringExtensions v0.9.5 ⌅ [033835bb] JLD2 v0.4.55 [438e738f] PyCall v1.96.4 [07b0ad8c] PyCallJLD2 v0.1.2 [1bc83da4] SafeTestsets v0.1.0 [56ddb016] Logging v1.11.0 [44cfe95a] Pkg v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Q4av5Q/Manifest.toml` [8f4d0f93] Conda v1.10.3 [ffbed154] DocStringExtensions v0.9.5 [5789e2e9] FileIO v1.17.1 ⌅ [033835bb] JLD2 v0.4.55 [682c06a0] JSON v1.2.0 [1914dd2f] MacroTools v0.5.16 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.0 [438e738f] PyCall v1.96.4 [07b0ad8c] PyCallJLD2 v0.1.2 [ae029012] Requires v1.3.1 [1bc83da4] SafeTestsets v0.1.0 [ec057cc2] StructUtils v2.5.1 [3bb67fe8] TranscodingStreams v0.11.3 [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 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching 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 [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 [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... [ Info: Installing sklearn.linear_model 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-1.5.2 | pyhd8ed1ab_0 219 KB conda-forge scikit-learn-1.7.2 | py312h4f0b9e3_0 9.2 MB conda-forge scipy-1.16.2 | py312h7a1785b_0 16.3 MB conda-forge threadpoolctl-3.6.0 | pyhecae5ae_0 23 KB conda-forge ------------------------------------------------------------ Total: 25.8 MB The following NEW packages will be INSTALLED: joblib conda-forge/noarch::joblib-1.5.2-pyhd8ed1ab_0 scikit-learn conda-forge/linux-64::scikit-learn-1.7.2-py312h4f0b9e3_0 scipy conda-forge/linux-64::scipy-1.16.2-py312h7a1785b_0 threadpoolctl conda-forge/noarch::threadpoolctl-3.6.0-pyhecae5ae_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done All Test Sets: Error During Test at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 Got exception outside of a @test LoadError: PyError (PyImport_ImportModule The Python package sklearn.linear_model could not be imported by pyimport. Usually this means that you did not install sklearn.linear_model 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.linear_model module, you can use `pyimport_conda("sklearn.linear_model", PKG)`, where PKG is the Anaconda package that contains the module sklearn.linear_model, 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 73, in from .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 .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 ._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 ._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 .validation import _is_arraylike_not_scalar File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/utils/validation.py", line 21, in from ..utils._array_api import _asarray_with_order, _is_numpy_namespace, get_namespace File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sklearn/utils/_array_api.py", line 20, in from .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 626, 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 116, 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 122, 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(modulename::String, condapkg::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [4] top-level scope @ ~/.julia/packages/PyCallJLD2/G3ntZ/test/test_sets.jl:39 [5] include(mod::Module, _path::String) @ Base ./Base.jl:562 [6] include(x::String) @ Main.var"##All Test Sets#232" ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [7] macro expansion @ ~/.julia/packages/PyCallJLD2/G3ntZ/test/runtests.jl:19 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] [9] macro expansion @ ~/.julia/packages/PyCallJLD2/G3ntZ/test/runtests.jl:19 [inlined] [10] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [11] eval(m::Module, e::Any) @ Core ./boot.jl:430 [12] top-level scope @ ~/.julia/packages/PyCallJLD2/G3ntZ/test/runtests.jl:28 [13] include(fname::String) @ Main ./sysimg.jl:38 [14] top-level scope @ none:6 in expression starting at /home/pkgeval/.julia/packages/PyCallJLD2/G3ntZ/test/test_sets.jl:39 caused by: PyError (PyImport_ImportModule The Python package sklearn.linear_model could not be imported by pyimport. Usually this means that you did not install sklearn.linear_model 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.linear_model module, you can use `pyimport_conda("sklearn.linear_model", PKG)`, where PKG is the Anaconda package that contains the module sklearn.linear_model, 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(modulename::String, condapkg::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [4] top-level scope @ ~/.julia/packages/PyCallJLD2/G3ntZ/test/test_sets.jl:39 [5] include(mod::Module, _path::String) @ Base ./Base.jl:562 [6] include(x::String) @ Main.var"##All Test Sets#232" ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [7] macro expansion @ ~/.julia/packages/PyCallJLD2/G3ntZ/test/runtests.jl:19 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1709 [inlined] [9] macro expansion @ ~/.julia/packages/PyCallJLD2/G3ntZ/test/runtests.jl:19 [inlined] [10] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [11] eval(m::Module, e::Any) @ Core ./boot.jl:430 [12] top-level scope @ ~/.julia/packages/PyCallJLD2/G3ntZ/test/runtests.jl:28 [13] include(fname::String) @ Main ./sysimg.jl:38 [14] top-level scope @ none:6 Test Summary: | Error Total Time All Test Sets | 1 1 38.3s ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/PyCallJLD2/G3ntZ/test/runtests.jl:18 Testing failed after 42.71s ERROR: LoadError: Package PyCallJLD2 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:2128 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2011 [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 248.76s: package tests unexpectedly errored