Package evaluation to test QUnfold on Julia 1.10.10 (c8be17dcfd*) started at 2026-02-02T20:42:31.601 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.10` Set-up completed after 5.15s ################################################################################ # Installation # Installing QUnfold... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [05092f44] + QUnfold v0.0.1 Updating `~/.julia/environments/v1.10/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.3 ⌅ [523fee87] + CodecBzip2 v0.7.2 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [f6369f11] + ForwardDiff v0.10.39 ⌅ [b6b21f68] + Ipopt v1.1.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 ⌅ [4076af6c] + JuMP v1.6.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 ⌅ [b8f27783] + MathOptInterface v1.11.5 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.7 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 ⌅ [f27b6e38] + Polynomials v3.2.13 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.1 [05092f44] + QUnfold v0.0.1 [3cdcf5f2] + RecipesBase v1.3.4 [ae029012] + Requires v1.3.1 [6e75b9c4] + ScikitLearnBase v0.5.0 [66db9d55] + SnoopPrecompile v1.0.3 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.4 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.33.21 ⌅ [3bb67fe8] + TranscodingStreams v0.9.13 [ae81ac8f] + ASL_jll v0.1.3+0 [6e34b625] + Bzip2_jll v1.0.9+0 ⌅ [9cc047cb] + Ipopt_jll v300.1400.400+0 [d00139f3] + METIS_jll v5.1.3+0 ⌅ [d7ed1dd3] + MUMPS_seq_jll v5.4.1+0 ⌅ [656ef2d0] + OpenBLAS32_jll v0.3.24+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.1.1 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching [b77e0a4c] + InteractiveUtils [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 [9abbd945] + Profile [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [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 [05823500] + OpenLibm_jll v0.8.5+0 [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 ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 9.56s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 14712.3 ms ✓ PyCall 69299.3 ms ✓ MathOptInterface 93011.3 ms ✓ ScikitLearn 12019.9 ms ✓ JuMP 82191.8 ms ✓ Ipopt 30096.7 ms ✓ QUnfold 6 dependencies successfully precompiled in 304 seconds. 72 already precompiled. Precompilation completed after 369.72s ################################################################################ # Testing # Testing QUnfold Status `/tmp/jl_m6oPId/Project.toml` ⌅ [b6b21f68] Ipopt v1.1.0 ⌅ [4076af6c] JuMP v1.6.0 ⌅ [b8f27783] MathOptInterface v1.11.5 [438e738f] PyCall v1.96.4 [05092f44] QUnfold v0.0.1 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 ⌅ [2913bbd2] StatsBase v0.33.21 [37e2e46d] LinearAlgebra [9a3f8284] Random [8dfed614] Test Status `/tmp/jl_m6oPId/Manifest.toml` [6e4b80f9] BenchmarkTools v1.6.3 ⌅ [523fee87] CodecBzip2 v0.7.2 [944b1d66] CodecZlib v0.7.8 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 ⌅ [f6369f11] ForwardDiff v0.10.39 [842dd82b] InlineStrings v1.4.5 [41ab1584] InvertedIndices v1.3.1 ⌅ [b6b21f68] Ipopt v1.1.0 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 ⌅ [682c06a0] JSON v0.21.4 ⌅ [4076af6c] JuMP v1.6.0 [b964fa9f] LaTeXStrings v1.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 ⌅ [b8f27783] MathOptInterface v1.11.5 [e1d29d7a] Missings v1.2.0 [d8a4904e] MutableArithmetics v1.6.7 [77ba4419] NaNMath v1.1.3 [bac558e1] OrderedCollections v1.8.1 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 ⌅ [f27b6e38] Polynomials v3.2.13 [2dfb63ee] PooledArrays v1.4.3 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.1 [08abe8d2] PrettyTables v3.1.2 [438e738f] PyCall v1.96.4 [05092f44] QUnfold v0.0.1 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 [91c51154] SentinelArrays v1.4.9 [66db9d55] SnoopPrecompile v1.0.3 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [1e83bf80] StaticArraysCore v1.4.4 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [892a3eda] StringManipulation v0.4.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 ⌅ [3bb67fe8] TranscodingStreams v0.9.13 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [ae81ac8f] ASL_jll v0.1.3+0 [6e34b625] Bzip2_jll v1.0.9+0 ⌅ [9cc047cb] Ipopt_jll v300.1400.400+0 [d00139f3] METIS_jll v5.1.3+0 ⌅ [d7ed1dd3] MUMPS_seq_jll v5.4.1+0 ⌅ [656ef2d0] OpenBLAS32_jll v0.3.24+0 [efe28fd5] OpenSpecFun_jll v0.5.6+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 [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 [9abbd945] Profile [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [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 [05823500] OpenLibm_jll v0.8.5+0 [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 ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Installing sklearn.ensemble 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 ERROR: LoadError: PyError (PyImport_ImportModule The Python package sklearn.ensemble could not be imported by pyimport. Usually this means that you did not install sklearn.ensemble 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.ensemble module, you can use `pyimport_conda("sklearn.ensemble", PKG)`, where PKG is the Anaconda package that contains the module sklearn.ensemble, 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(modulename::String, condapkg::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [4] top-level scope @ ~/.julia/packages/QUnfold/TpTd7/test/runtests.jl:12 [5] include(fname::String) @ Base.MainInclude ./client.jl:487 [6] top-level scope @ none:6 in expression starting at /home/pkgeval/.julia/packages/QUnfold/TpTd7/test/runtests.jl:12 caused by: PyError (PyImport_ImportModule The Python package sklearn.ensemble could not be imported by pyimport. Usually this means that you did not install sklearn.ensemble 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.ensemble module, you can use `pyimport_conda("sklearn.ensemble", PKG)`, where PKG is the Anaconda package that contains the module sklearn.ensemble, 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/QUnfold/TpTd7/test/runtests.jl:12 [5] include(fname::String) @ Base.MainInclude ./client.jl:487 [6] top-level scope @ none:6 Testing failed after 173.77s ERROR: LoadError: Package QUnfold 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 586.86s: package tests unexpectedly errored