Package evaluation to test PoGO on Julia 1.11.7 (58327cce5e*) started at 2025-10-28T22:49:11.083


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.78s


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

Installing PoGO...
   Resolving package versions...
   Installed Conda ── v1.10.3
   Installed PyCall ─ v1.96.4
    Updating `~/.julia/environments/v1.11/Project.toml`
  [043b967d] + PoGO v0.3.7
    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
  [07eb4e4e] + Delaunay v1.2.0
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [ffbed154] + DocStringExtensions v0.9.5
⌅ [f6369f11] + ForwardDiff v0.10.39
  [92d709cd] + IrrationalConstants v0.2.6
  [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
  [043b967d] + PoGO v0.3.7
⌅ [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.5.0
  [438e738f] + PyCall v1.96.4
  [276daf66] + SpecialFunctions v2.6.1
  [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 75.29s


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

Precompiling PkgEval dependencies...

Precompiling package dependencies...
ERROR: LoadError: The following 1 direct dependency failed to precompile:

PoGO 

Failed to precompile PoGO [043b967d-4e64-47a6-97d4-0007e6b4905c] to "/home/pkgeval/.julia/compiled/v1.11/PoGO/jl_J0Iip5".
[ 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-1.16.2               |  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: 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 116, 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 122, 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: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::Bool; register::Bool)
    @ Base ./loading.jl:1254
  [8] _include_from_serialized
    @ ./loading.jl:1210 [inlined]
  [9] _tryrequire_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing)
    @ Base ./loading.jl:1963
 [10] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2594
 [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
    @ ./Base.jl:562 [inlined]
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:2922
 [23] top-level scope
    @ stdin:6
during initialization of module Delaunay
in expression starting at /home/pkgeval/.julia/packages/PoGO/6S18e/src/PoGO.jl:1
in expression starting at stdin:6

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: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::Bool; register::Bool)
    @ Base ./loading.jl:1254
  [8] _include_from_serialized
    @ ./loading.jl:1210 [inlined]
  [9] _tryrequire_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing)
    @ Base ./loading.jl:1963
 [10] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2594
 [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
    @ ./Base.jl:562 [inlined]
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:2922
 [23] top-level scope
    @ stdin:
in expression starting at /PkgEval.jl/scripts/precompile.jl:37

Precompilation failed after 84.77s



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

     Testing PoGO
      Status `/tmp/jl_0aIxav/Project.toml`
  [07eb4e4e] Delaunay v1.2.0
⌅ [f6369f11] ForwardDiff v0.10.39
  [60bf3e95] GLPK v1.2.1
  [4076af6c] JuMP v1.29.2
  [043b967d] PoGO v0.3.7
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_0aIxav/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
  [07eb4e4e] Delaunay v1.2.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [ffbed154] DocStringExtensions v0.9.5
⌅ [f6369f11] ForwardDiff v0.10.39
  [60bf3e95] GLPK v1.2.1
  [92d709cd] IrrationalConstants v0.2.6
  [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
  [043b967d] PoGO v0.3.7
⌅ [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.5.0
  [438e738f] PyCall v1.96.4
  [276daf66] SpecialFunctions v2.6.1
  [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
  [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...
Precompiling PoGO...
Info Given PoGO was explicitly requested, output will be shown live 
[ 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

# All requested packages already installed.

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 116, 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 122, 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: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
    @ ./Base.jl:562 [inlined]
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:2922
 [23] top-level scope
    @ stdin:6
during initialization of module Delaunay
in expression starting at /home/pkgeval/.julia/packages/PoGO/6S18e/src/PoGO.jl:1
in expression starting at stdin:6

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 '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 116, 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 122, 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: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: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
    @ ./Base.jl:562 [inlined]
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:2922
 [23] top-level scope
    @ stdin:6
           ✗ PoGO
  0 dependencies successfully precompiled in 30 seconds. 65 already precompiled.

ERROR: LoadError: The following 1 direct dependency failed to precompile:

PoGO 

Failed to precompile PoGO [043b967d-4e64-47a6-97d4-0007e6b4905c] to "/home/pkgeval/.julia/compiled/v1.11/PoGO/jl_l8EW9j".
[ 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

# All requested packages already installed.

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 116, 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 122, 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: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
    @ ./Base.jl:562 [inlined]
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:2922
 [23] top-level scope
    @ stdin:6
during initialization of module Delaunay
in expression starting at /home/pkgeval/.julia/packages/PoGO/6S18e/src/PoGO.jl:1
in expression starting at stdin:6

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 '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 116, 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 122, 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: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: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
    @ ./Base.jl:562 [inlined]
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:2922
 [23] top-level scope
    @ stdin:
in expression starting at /home/pkgeval/.julia/packages/PoGO/6S18e/test/runtests.jl:1

Testing failed after 38.54s

ERROR: LoadError: Package PoGO 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 228.62s: package fails to precompile