Package evaluation to test QHull on Julia 1.11.7 (58327cce5e*) started at 2025-10-28T23:40:31.042 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.57s ################################################################################ # Installation # Installing QHull... Resolving package versions... Installed Conda ── v1.10.3 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.11/Project.toml` [a8468747] + QHull v0.2.6 Updating `~/.julia/environments/v1.11/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.3 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [8f4d0f93] + Conda v1.10.3 [864edb3b] + DataStructures v0.19.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [f6369f11] + ForwardDiff v1.2.2 [14197337] + GenericLinearAlgebra v0.3.19 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.2.0 [0f8b85d8] + JSON3 v1.14.3 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.46.0 [d8a4904e] + MutableArithmetics v1.6.7 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [67491407] + Polyhedra v0.8.1 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.0 [438e738f] + PyCall v1.96.4 [a8468747] + QHull v0.2.6 [276daf66] + SpecialFunctions v2.6.1 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [ec057cc2] + StructUtils v2.5.1 [3bb67fe8] + TranscodingStreams v0.11.3 [81def892] + VersionParsing v1.3.0 [6e34b625] + Bzip2_jll v1.0.9+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+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 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile 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 [05823500] + OpenLibm_jll v0.8.5+0 [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. 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 77.03s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 42.78s ################################################################################ # Testing # Testing QHull Status `/tmp/jl_ylfpXv/Project.toml` [861a8166] Combinatorics v1.0.3 [60bf3e95] GLPK v1.2.1 [5c1252a2] GeometryBasics v0.5.10 [4076af6c] JuMP v1.29.2 [67491407] Polyhedra v0.8.1 [438e738f] PyCall v1.96.4 [a8468747] QHull v0.2.6 [3cdcf5f2] RecipesBase v1.3.4 [90137ffa] StaticArrays v1.9.15 [37e2e46d] LinearAlgebra v1.11.0 [2f01184e] SparseArrays v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_ylfpXv/Manifest.toml` [6e4b80f9] BenchmarkTools v1.6.3 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.0.3 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [864edb3b] DataStructures v0.19.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 [411431e0] Extents v0.1.6 [f6369f11] ForwardDiff v1.2.2 [60bf3e95] GLPK v1.2.1 [14197337] GenericLinearAlgebra v0.3.19 [5c1252a2] GeometryBasics v0.5.10 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.2.0 [0f8b85d8] JSON3 v1.14.3 [4076af6c] JuMP v1.29.2 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [b8f27783] MathOptInterface v1.46.0 [d8a4904e] MutableArithmetics v1.6.7 [77ba4419] NaNMath v1.1.3 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 [67491407] Polyhedra v0.8.1 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.0 [438e738f] PyCall v1.96.4 [a8468747] QHull v0.2.6 [3cdcf5f2] RecipesBase v1.3.4 [276daf66] SpecialFunctions v2.6.1 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [856f2bd8] StructTypes v1.11.0 [ec057cc2] StructUtils v2.5.1 [3bb67fe8] TranscodingStreams v0.11.3 [81def892] VersionParsing v1.3.0 [6e34b625] Bzip2_jll v1.0.9+0 [5ae413db] EarCut_jll v2.2.4+0 [e8aa6df9] GLPK_jll v5.0.1+1 [efe28fd5] OpenSpecFun_jll v0.5.6+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 [9abbd945] Profile 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 [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 [781609d7] GMP_jll v6.3.0+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 [05823500] OpenLibm_jll v0.8.5+0 [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... [ Info: Installing scipy.spatial 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-1.16.3 | py312h7a1785b_0 16.3 MB conda-forge ------------------------------------------------------------ Total: 16.3 MB The following NEW packages will be INSTALLED: scipy conda-forge/linux-64::scipy-1.16.3-py312h7a1785b_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ERROR: LoadError: InitError: PyError (PyImport_ImportModule The Python package scipy.spatial could not be imported by pyimport. Usually this means that you did not install scipy.spatial 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.spatial module, you can use `pyimport_conda("scipy.spatial", PKG)`, where PKG is the Anaconda package that contains the module scipy.spatial, 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/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 @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [inlined] [4] __init__() @ QHull ~/.julia/packages/QHull/omD8x/src/QHull.jl:16 [5] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1378 [6] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1366 [7] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}, ignore_native::Nothing; register::Bool) @ Base ./loading.jl:1254 [8] _include_from_serialized (repeats 2 times) @ ./loading.jl:1210 [inlined] [9] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2057 [10] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2527 [11] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2388 [12] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [13] invoke_in_world @ ./essentials.jl:1086 [inlined] [14] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2375 [15] macro expansion @ ./loading.jl:2314 [inlined] [16] macro expansion @ ./lock.jl:273 [inlined] [17] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2271 [18] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [19] invoke_in_world @ ./essentials.jl:1086 [inlined] [20] require(into::Module, mod::Symbol) @ Base ./loading.jl:2260 [21] include(fname::String) @ Main ./sysimg.jl:38 [22] top-level scope @ none:6 during initialization of module QHull in expression starting at /home/pkgeval/.julia/packages/QHull/omD8x/test/runtests.jl:2 caused by: PyError (PyImport_ImportModule The Python package scipy.spatial could not be imported by pyimport. Usually this means that you did not install scipy.spatial 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.spatial module, you can use `pyimport_conda("scipy.spatial", PKG)`, where PKG is the Anaconda package that contains the module scipy.spatial, 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 @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [inlined] [4] __init__() @ QHull ~/.julia/packages/QHull/omD8x/src/QHull.jl:16 [5] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1378 [6] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1366 [7] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}, ignore_native::Nothing; register::Bool) @ Base ./loading.jl:1254 [8] _include_from_serialized (repeats 2 times) @ ./loading.jl:1210 [inlined] [9] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2057 [10] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2527 [11] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2388 [12] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [13] invoke_in_world @ ./essentials.jl:1086 [inlined] [14] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2375 [15] macro expansion @ ./loading.jl:2314 [inlined] [16] macro expansion @ ./lock.jl:273 [inlined] [17] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2271 [18] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [19] invoke_in_world @ ./essentials.jl:1086 [inlined] [20] require(into::Module, mod::Symbol) @ Base ./loading.jl:2260 [21] include(fname::String) @ Main ./sysimg.jl:38 [22] top-level scope @ none:6 Testing failed after 39.77s ERROR: LoadError: Package QHull 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 189.6s: package tests unexpectedly errored