Package evaluation to test NonNegLeastSquares on Julia 1.11.7 (58327cce5e*) started at 2025-10-28T15:11:21.050 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.47s ################################################################################ # Installation # Installing NonNegLeastSquares... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [b7351bd1] + NonNegLeastSquares v0.4.1 Updating `~/.julia/environments/v1.11/Manifest.toml` [b7351bd1] + NonNegLeastSquares v0.4.1 [56f22d72] + Artifacts v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.27+1 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [8e850b90] + libblastrampoline_jll v5.11.0+0 Installation completed after 1.24s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 91.07s ################################################################################ # Testing # Testing NonNegLeastSquares Status `/tmp/jl_P7Bis8/Project.toml` [b7351bd1] NonNegLeastSquares v0.4.1 [438e738f] PyCall v1.96.4 [37e2e46d] LinearAlgebra v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_P7Bis8/Manifest.toml` [8f4d0f93] Conda v1.10.3 [682c06a0] JSON v1.2.0 [1914dd2f] MacroTools v0.5.16 [b7351bd1] NonNegLeastSquares v0.4.1 [69de0a69] Parsers v2.8.3 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.0 [438e738f] PyCall v1.96.4 [ec057cc2] StructUtils v2.5.1 [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 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.2.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [2f01184e] SparseArrays v1.11.0 [fa267f1f] TOML v1.0.3 [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 [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 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Installing scipy.optimize via the Conda scipy package... [ Info: Running `conda install -q -y scipy` 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: - scipy The following packages will be downloaded: package | build ---------------------------|----------------- scipy-1.16.2 | py312h7a1785b_0 16.3 MB conda-forge ------------------------------------------------------------ Total: 16.3 MB The following NEW packages will be INSTALLED: scipy conda-forge/linux-64::scipy-1.16.2-py312h7a1785b_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ERROR: LoadError: PyError (PyImport_ImportModule The Python package scipy.optimize could not be imported by pyimport. Usually this means that you did not install scipy.optimize 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 scipy.optimize module, you can use `pyimport_conda("scipy.optimize", PKG)`, where PKG is the Anaconda package that contains the module scipy.optimize, 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/optimize/_highspy/_core.cpython-312-x86_64-linux-gnu.so)") File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/optimize/__init__.py", line 435, in from ._linprog import linprog, linprog_verbose_callback File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/optimize/_linprog.py", line 21, in from ._linprog_highs import _linprog_highs File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/optimize/_linprog_highs.py", line 20, in from ._highspy._highs_wrapper import _highs_wrapper File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/optimize/_highspy/_highs_wrapper.py", line 4, in import scipy.optimize._highspy._core as _h # type: ignore[import-not-found] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 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/NonNegLeastSquares/DRyA5/test/runtests.jl:9 [5] include(fname::String) @ Main ./sysimg.jl:38 [6] top-level scope @ none:6 in expression starting at /home/pkgeval/.julia/packages/NonNegLeastSquares/DRyA5/test/runtests.jl:9 caused by: PyError (PyImport_ImportModule The Python package scipy.optimize could not be imported by pyimport. Usually this means that you did not install scipy.optimize 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 scipy.optimize module, you can use `pyimport_conda("scipy.optimize", PKG)`, where PKG is the Anaconda package that contains the module scipy.optimize, 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 'scipy'") 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/NonNegLeastSquares/DRyA5/test/runtests.jl:9 [5] include(fname::String) @ Main ./sysimg.jl:38 [6] top-level scope @ none:6 Testing failed after 34.94s ERROR: LoadError: Package NonNegLeastSquares 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 167.69s: package tests unexpectedly errored