Package evaluation to test Delaunay on Julia 1.10.10 (c8be17dcfd*) started at 2026-02-02T17:54:50.119


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.10`

Set-up completed after 5.01s


################################################################################
# Installation
#

Installing Delaunay...
   Resolving package versions...
   Installed Conda ── v1.10.3
   Installed PyCall ─ v1.96.4
    Updating `~/.julia/environments/v1.10/Project.toml`
  [07eb4e4e] + Delaunay v1.2.0
    Updating `~/.julia/environments/v1.10/Manifest.toml`
  [8f4d0f93] + Conda v1.10.3
  [07eb4e4e] + Delaunay v1.2.0
  [ffbed154] + DocStringExtensions v0.9.5
  [92d709cd] + IrrationalConstants v0.2.6
  [692b3bcd] + JLLWrappers v1.7.1
  [682c06a0] + JSON v1.4.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [1914dd2f] + MacroTools v0.5.16
  [69de0a69] + Parsers v2.8.3
⌅ [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.5.1
  [438e738f] + PyCall v1.96.4
  [276daf66] + SpecialFunctions v2.6.1
  [ec057cc2] + StructUtils v2.6.2
  [81def892] + VersionParsing v1.3.0
  [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
  [8f399da3] + Libdl
  [37e2e46d] + LinearAlgebra
  [56ddb016] + Logging
  [d6f4376e] + Markdown
  [ca575930] + NetworkOptions v1.2.0
  [de0858da] + Printf
  [9a3f8284] + Random
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization
  [2f01184e] + SparseArrays v1.10.0
  [fa267f1f] + TOML v1.0.3
  [8dfed614] + Test
  [cf7118a7] + UUIDs
  [4ec0a83e] + Unicode
  [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] + LibCURL_jll v8.4.0+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
        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 To see why use `status --outdated -m`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 68.2s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...
Precompiling packages...
   1685.2 ms  ✓ Conda
  12719.9 ms  ✓ PyCall
   3459.8 ms  ✓ Delaunay
  3 dependencies successfully precompiled in 19 seconds. 18 already precompiled.

Precompilation completed after 31.97s


################################################################################
# Testing
#

     Testing Delaunay
      Status `/tmp/jl_b46c4m/Project.toml`
  [07eb4e4e] Delaunay v1.2.0
  [438e738f] PyCall v1.96.4
  [276daf66] SpecialFunctions v2.6.1
  [37e2e46d] LinearAlgebra
  [9a3f8284] Random
  [2f01184e] SparseArrays v1.10.0
  [8dfed614] Test
      Status `/tmp/jl_b46c4m/Manifest.toml`
  [8f4d0f93] Conda v1.10.3
  [07eb4e4e] Delaunay v1.2.0
  [ffbed154] DocStringExtensions v0.9.5
  [92d709cd] IrrationalConstants v0.2.6
  [692b3bcd] JLLWrappers v1.7.1
  [682c06a0] JSON v1.4.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [1914dd2f] MacroTools v0.5.16
  [69de0a69] Parsers v2.8.3
⌅ [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.5.1
  [438e738f] PyCall v1.96.4
  [276daf66] SpecialFunctions v2.6.1
  [ec057cc2] StructUtils v2.6.2
  [81def892] VersionParsing v1.3.0
  [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
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [ca575930] NetworkOptions v1.2.0
  [de0858da] Printf
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [2f01184e] SparseArrays v1.10.0
  [fa267f1f] TOML v1.0.3
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] LibCURL_jll v8.4.0+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
        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-1.17.0               |  py312h54fa4ab_1        16.1 MB  conda-forge
    ------------------------------------------------------------
                                           Total:        16.1 MB

The following NEW packages will be INSTALLED:

  scipy              conda-forge/linux-64::scipy-1.17.0-py312h54fa4ab_1 


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.

) <class 'ImportError'>
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 117, in <module>
    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 <module>
    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 <module>
    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__()
    @ Delaunay ~/.julia/packages/Delaunay/M01YP/src/Delaunay.jl:11
  [5] run_module_init(mod::Module, i::Int64)
    @ Base ./loading.jl:1196
  [6] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
    @ Base ./loading.jl:1184
  [7] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any})
    @ Base ./loading.jl:1129
  [8] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128)
    @ Base ./loading.jl:1654
  [9] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2011
 [10] __require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1885
 [11] #invoke_in_world#3
    @ ./essentials.jl:926 [inlined]
 [12] invoke_in_world
    @ ./essentials.jl:923 [inlined]
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1876
 [14] macro expansion
    @ ./loading.jl:1863 [inlined]
 [15] macro expansion
    @ ./lock.jl:270 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1826
 [17] #invoke_in_world#3
    @ ./essentials.jl:926 [inlined]
 [18] invoke_in_world
    @ ./essentials.jl:923 [inlined]
 [19] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1819
 [20] include(fname::String)
    @ Base.MainInclude ./client.jl:487
 [21] top-level scope
    @ none:6
during initialization of module Delaunay
in expression starting at /home/pkgeval/.julia/packages/Delaunay/M01YP/test/runtests.jl:1

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.

) <class 'ModuleNotFoundError'>
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__()
    @ Delaunay ~/.julia/packages/Delaunay/M01YP/src/Delaunay.jl:11
  [5] run_module_init(mod::Module, i::Int64)
    @ Base ./loading.jl:1196
  [6] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
    @ Base ./loading.jl:1184
  [7] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any})
    @ Base ./loading.jl:1129
  [8] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128)
    @ Base ./loading.jl:1654
  [9] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2011
 [10] __require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1885
 [11] #invoke_in_world#3
    @ ./essentials.jl:926 [inlined]
 [12] invoke_in_world
    @ ./essentials.jl:923 [inlined]
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1876
 [14] macro expansion
    @ ./loading.jl:1863 [inlined]
 [15] macro expansion
    @ ./lock.jl:270 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1826
 [17] #invoke_in_world#3
    @ ./essentials.jl:926 [inlined]
 [18] invoke_in_world
    @ ./essentials.jl:923 [inlined]
 [19] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1819
 [20] include(fname::String)
    @ Base.MainInclude ./client.jl:487
 [21] top-level scope
    @ none:6

Testing failed after 40.36s

ERROR: LoadError: Package Delaunay 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 170.58s: package tests unexpectedly errored