Package evaluation to test PythonOT on Julia 1.11.8 (29b3528cce*) started at 2026-01-20T04:20:57.151 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.11` Set-up completed after 8.65s ################################################################################ # Installation # Installing PythonOT... Resolving package versions... Installed Conda ── v1.10.3 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.11/Project.toml` [3c485715] + PythonOT v0.1.6 Updating `~/.julia/environments/v1.11/Manifest.toml` [8f4d0f93] + Conda v1.10.3 [682c06a0] + JSON v1.4.0 [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 [3c485715] + PythonOT v0.1.6 [ec057cc2] + StructUtils v2.6.2 [81def892] + VersionParsing v1.3.0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [b27032c2] + LibCURL v0.6.4 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging 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 [fa267f1f] + TOML v1.0.3 [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 [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 To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall →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 71.4s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/h9a3r/src/julia-1.11/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 4324.1 ms ✓ PythonOT 1 dependency successfully precompiled in 5 seconds. 43 already precompiled. Precompilation completed after 26.44s ################################################################################ # Testing # Testing PythonOT ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1924 Status `/tmp/jl_IFcpvY/Project.toml` ⌅ [e30172f5] Documenter v0.27.25 [3c485715] PythonOT v0.1.6 [44cfe95a] Pkg v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_IFcpvY/Manifest.toml` [a4c015fc] ANSIColoredPrinters v0.0.1 [8f4d0f93] Conda v1.10.3 [ffbed154] DocStringExtensions v0.9.5 ⌅ [e30172f5] Documenter v0.27.25 ⌅ [b5f81e59] IOCapture v0.2.5 ⌅ [682c06a0] JSON v0.21.4 [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 [3c485715] PythonOT v0.1.6 [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 [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 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [f489334b] StyledStrings 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 [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 [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 ot via the Conda pot package... [ Info: Running `conda config --add channels conda-forge --file /home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml --force` in root environment [ Info: Running `conda install -q -y pot` 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: - pot The following packages will be downloaded: package | build ---------------------------|----------------- brotli-1.2.0 | hed03a55_1 20 KB conda-forge brotli-bin-1.2.0 | hb03c661_1 21 KB conda-forge contourpy-1.3.3 | py312hd9148b4_3 288 KB conda-forge cycler-0.12.1 | pyhcf101f3_2 14 KB conda-forge fonttools-4.61.1 | py312h8a5da7c_0 2.8 MB conda-forge freetype-2.14.1 | ha770c72_0 169 KB conda-forge kiwisolver-1.4.9 | py312h0a2e395_2 76 KB conda-forge lcms2-2.18 | h0c24ade_0 244 KB conda-forge lerc-4.0.0 | h0aef613_1 258 KB conda-forge libbrotlicommon-1.2.0 | hb03c661_1 78 KB conda-forge libbrotlidec-1.2.0 | hb03c661_1 34 KB conda-forge libbrotlienc-1.2.0 | hb03c661_1 291 KB conda-forge libdeflate-1.25 | h17f619e_0 72 KB conda-forge libfreetype-2.14.1 | ha770c72_0 7 KB conda-forge libfreetype6-2.14.1 | h73754d4_0 378 KB conda-forge libjpeg-turbo-3.1.2 | hb03c661_0 619 KB conda-forge libpng-1.6.54 | h421ea60_0 310 KB conda-forge libtiff-4.7.1 | h9d88235_1 425 KB conda-forge libwebp-base-1.6.0 | hd42ef1d_0 419 KB conda-forge libxcb-1.17.0 | h8a09558_0 387 KB conda-forge matplotlib-base-3.10.8 | py312he3d6523_0 8.1 MB conda-forge munkres-1.1.4 | pyhd8ed1ab_1 15 KB conda-forge openjpeg-2.5.4 | h55fea9a_0 347 KB conda-forge pillow-12.1.0 | py312h50c33e8_0 1005 KB conda-forge pot-0.9.6.post1 | py312hf79963d_0 621 KB conda-forge pthread-stubs-0.4 | hb9d3cd8_1002 8 KB conda-forge pyparsing-3.3.1 | pyhcf101f3_0 108 KB conda-forge python-dateutil-2.9.0.post0| pyhe01879c_2 228 KB conda-forge qhull-2020.2 | h434a139_5 540 KB conda-forge scipy-1.17.0 | py312h54fa4ab_1 16.1 MB conda-forge six-1.17.0 | pyhe01879c_1 18 KB conda-forge unicodedata2-17.0.0 | py312h4c3975b_1 399 KB conda-forge xorg-libxau-1.0.12 | hb03c661_1 15 KB conda-forge xorg-libxdmcp-1.1.5 | hb03c661_1 20 KB conda-forge zlib-ng-2.3.2 | hceb46e0_1 119 KB conda-forge ------------------------------------------------------------ Total: 34.3 MB The following NEW packages will be INSTALLED: brotli conda-forge/linux-64::brotli-1.2.0-hed03a55_1 brotli-bin conda-forge/linux-64::brotli-bin-1.2.0-hb03c661_1 contourpy conda-forge/linux-64::contourpy-1.3.3-py312hd9148b4_3 cycler conda-forge/noarch::cycler-0.12.1-pyhcf101f3_2 fonttools conda-forge/linux-64::fonttools-4.61.1-py312h8a5da7c_0 freetype conda-forge/linux-64::freetype-2.14.1-ha770c72_0 kiwisolver conda-forge/linux-64::kiwisolver-1.4.9-py312h0a2e395_2 lcms2 conda-forge/linux-64::lcms2-2.18-h0c24ade_0 lerc conda-forge/linux-64::lerc-4.0.0-h0aef613_1 libbrotlicommon conda-forge/linux-64::libbrotlicommon-1.2.0-hb03c661_1 libbrotlidec conda-forge/linux-64::libbrotlidec-1.2.0-hb03c661_1 libbrotlienc conda-forge/linux-64::libbrotlienc-1.2.0-hb03c661_1 libdeflate conda-forge/linux-64::libdeflate-1.25-h17f619e_0 libfreetype conda-forge/linux-64::libfreetype-2.14.1-ha770c72_0 libfreetype6 conda-forge/linux-64::libfreetype6-2.14.1-h73754d4_0 libjpeg-turbo conda-forge/linux-64::libjpeg-turbo-3.1.2-hb03c661_0 libpng conda-forge/linux-64::libpng-1.6.54-h421ea60_0 libtiff conda-forge/linux-64::libtiff-4.7.1-h9d88235_1 libwebp-base conda-forge/linux-64::libwebp-base-1.6.0-hd42ef1d_0 libxcb conda-forge/linux-64::libxcb-1.17.0-h8a09558_0 matplotlib-base conda-forge/linux-64::matplotlib-base-3.10.8-py312he3d6523_0 munkres conda-forge/noarch::munkres-1.1.4-pyhd8ed1ab_1 openjpeg conda-forge/linux-64::openjpeg-2.5.4-h55fea9a_0 pillow conda-forge/linux-64::pillow-12.1.0-py312h50c33e8_0 pot conda-forge/linux-64::pot-0.9.6.post1-py312hf79963d_0 pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-hb9d3cd8_1002 pyparsing conda-forge/noarch::pyparsing-3.3.1-pyhcf101f3_0 python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhe01879c_2 qhull conda-forge/linux-64::qhull-2020.2-h434a139_5 scipy conda-forge/linux-64::scipy-1.17.0-py312h54fa4ab_1 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 unicodedata2 conda-forge/linux-64::unicodedata2-17.0.0-py312h4c3975b_1 xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.12-hb03c661_1 xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.5-hb03c661_1 zlib-ng conda-forge/linux-64::zlib-ng-2.3.2-hceb46e0_1 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ERROR: LoadError: InitError: PyError (PyImport_ImportModule The Python package ot could not be imported by pyimport. Usually this means that you did not install ot 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 ot module, you can use `pyimport_conda("ot", PKG)`, where PKG is the Anaconda package that contains the module ot, 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/ot/__init__.py", line 20, in from . import lp File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/ot/lp/__init__.py", line 12, in from ._network_simplex import emd, emd2 File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/ot/lp/_network_simplex.py", line 14, in from ..utils import list_to_array, check_number_threads File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/ot/utils.py", line 14, in from scipy.spatial.distance import cdist 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] __init__() @ PythonOT ~/.julia/packages/PythonOT/6GILI/src/PythonOT.jl:24 [4] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1378 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1366 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}, ignore_native::Nothing; register::Bool) @ Base ./loading.jl:1254 [7] _include_from_serialized (repeats 2 times) @ ./loading.jl:1210 [inlined] [8] _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 [9] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2527 [10] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2388 [11] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [12] invoke_in_world @ ./essentials.jl:1086 [inlined] [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2375 [14] macro expansion @ ./loading.jl:2314 [inlined] [15] macro expansion @ ./lock.jl:273 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2271 [17] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [18] invoke_in_world @ ./essentials.jl:1086 [inlined] [19] require(into::Module, mod::Symbol) @ Base ./loading.jl:2260 [20] include(fname::String) @ Main ./sysimg.jl:38 [21] top-level scope @ none:6 during initialization of module PythonOT in expression starting at /home/pkgeval/.julia/packages/PythonOT/6GILI/test/runtests.jl:10 caused by: PyError (PyImport_ImportModule The Python package ot could not be imported by pyimport. Usually this means that you did not install ot 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 ot module, you can use `pyimport_conda("ot", PKG)`, where PKG is the Anaconda package that contains the module ot, 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 'ot'") 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] __init__() @ PythonOT ~/.julia/packages/PythonOT/6GILI/src/PythonOT.jl:24 [4] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1378 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1366 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}, ignore_native::Nothing; register::Bool) @ Base ./loading.jl:1254 [7] _include_from_serialized (repeats 2 times) @ ./loading.jl:1210 [inlined] [8] _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 [9] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2527 [10] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2388 [11] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [12] invoke_in_world @ ./essentials.jl:1086 [inlined] [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2375 [14] macro expansion @ ./loading.jl:2314 [inlined] [15] macro expansion @ ./lock.jl:273 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2271 [17] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [18] invoke_in_world @ ./essentials.jl:1086 [inlined] [19] require(into::Module, mod::Symbol) @ Base ./loading.jl:2260 [20] include(fname::String) @ Main ./sysimg.jl:38 [21] top-level scope @ none:6 Testing failed after 56.4s ERROR: LoadError: Package PythonOT 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:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 230.62s: package tests unexpectedly errored