Package evaluation to test PyMBAR on Julia 1.11.7 (58327cce5e*) started at 2025-10-28T22:43:27.558 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.79s ################################################################################ # Installation # Installing PyMBAR... Resolving package versions... Installed Conda ── v1.10.3 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.11/Project.toml` [ea233917] + PyMBAR v0.1.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [66dad0bd] + AliasTables v1.1.3 [8f4d0f93] + Conda v1.10.3 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.1 [31c24e10] + Distributions v0.25.122 [ffbed154] + DocStringExtensions v0.9.5 [1a297f60] + FillArrays v1.14.0 [34004b35] + HypergeometricFunctions v0.3.28 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.2.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.36 [69de0a69] + Parsers v2.8.3 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.0 [43287f4e] + PtrArrays v1.3.0 [438e738f] + PyCall v1.96.4 [ea233917] + PyMBAR v0.1.0 [1fd47b50] + QuadGK v2.11.2 [189a3867] + Reexport v1.2.2 [79098fc4] + Rmath v0.9.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.7 [4c63d2b9] + StatsFuns v1.5.2 [ec057cc2] + StructUtils v2.5.1 [81def892] + VersionParsing v1.3.0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+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 [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 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [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 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [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 [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. 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 66.28s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 22.71s ################################################################################ # Testing # Testing PyMBAR Status `/tmp/jl_swEy5k/Project.toml` [8f4d0f93] Conda v1.10.3 [31c24e10] Distributions v0.25.122 [438e738f] PyCall v1.96.4 [ea233917] PyMBAR v0.1.0 [44cfe95a] Pkg v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_swEy5k/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [8f4d0f93] Conda v1.10.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.1 [31c24e10] Distributions v0.25.122 [ffbed154] DocStringExtensions v0.9.5 [1a297f60] FillArrays v1.14.0 [34004b35] HypergeometricFunctions v0.3.28 [92d709cd] IrrationalConstants v0.2.6 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.2.0 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.36 [69de0a69] Parsers v2.8.3 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.0 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [ea233917] PyMBAR v0.1.0 [1fd47b50] QuadGK v2.11.2 [189a3867] Reexport v1.2.2 [79098fc4] Rmath v0.9.0 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.7 [4c63d2b9] StatsFuns v1.5.2 [ec057cc2] StructUtils v2.5.1 [81def892] VersionParsing v1.3.0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+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 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [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 [4607b0f0] SuiteSparse [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 [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... Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` [ Info: Running `conda install -q -y statsmodels` 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: - statsmodels The following packages will be downloaded: package | build ---------------------------|----------------- pandas-2.3.3 | py312hf79963d_1 14.4 MB conda-forge patsy-1.0.2 | pyhcf101f3_0 189 KB conda-forge python-dateutil-2.9.0.post0| pyhe01879c_2 228 KB conda-forge python-tzdata-2025.2 | pyhd8ed1ab_0 141 KB conda-forge pytz-2025.2 | pyhd8ed1ab_0 185 KB conda-forge scipy-1.16.2 | py312h7a1785b_0 16.3 MB conda-forge six-1.17.0 | pyhe01879c_1 18 KB conda-forge statsmodels-0.14.5 | py312h4f23490_1 11.5 MB conda-forge ------------------------------------------------------------ Total: 43.0 MB The following NEW packages will be INSTALLED: pandas conda-forge/linux-64::pandas-2.3.3-py312hf79963d_1 patsy conda-forge/noarch::patsy-1.0.2-pyhcf101f3_0 python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhe01879c_2 python-tzdata conda-forge/noarch::python-tzdata-2025.2-pyhd8ed1ab_0 pytz conda-forge/noarch::pytz-2025.2-pyhd8ed1ab_0 scipy conda-forge/linux-64::scipy-1.16.2-py312h7a1785b_0 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 statsmodels conda-forge/linux-64::statsmodels-0.14.5-py312h4f23490_1 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Installing pymbar via the Conda pymbar package... [ Info: Running `conda config --add channels conda-forge --file /home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml --force` in root environment /home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/conda/base/context.py:198: FutureWarning: Adding 'defaults' to channel list implicitly is deprecated and will be removed in 25.9. To remove this warning, please choose a default channel explicitly with conda's regular configuration system, e.g. by adding 'defaults' to the list of channels: conda config --add channels defaults For more information see https://docs.conda.io/projects/conda/en/stable/user-guide/configuration/use-condarc.html deprecated.topic( [ Info: Running `conda install -q -y pymbar` in root environment Channels: - conda-forge - defaults 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: - pymbar The following packages will be downloaded: package | build ---------------------------|----------------- importlib-metadata-8.7.0 | pyhe01879c_1 34 KB conda-forge jax-0.7.2 | pyhd8ed1ab_0 1.8 MB conda-forge jaxlib-0.7.2 |cpu_py312h46d2cd3_0 57.1 MB conda-forge libabseil-20250512.1 | cxx17_hba17884_0 1.2 MB conda-forge libgrpc-1.73.1 | h3288cfb_1 8.0 MB conda-forge libprotobuf-6.31.1 | h49aed37_2 4.4 MB conda-forge libre2-11-2025.08.12 | h7b12aa8_1 206 KB conda-forge ml_dtypes-0.5.1 | py312hf79963d_1 287 KB conda-forge nomkl-1.0 | h5ca1d4c_0 4 KB conda-forge numexpr-2.14.1 |py312h88efc94_100 210 KB conda-forge opt_einsum-3.4.0 | pyhd8ed1ab_1 61 KB conda-forge pymbar-4.2.0 | h7900ff3_1 7 KB conda-forge pymbar-core-4.2.0 | py312h4f23490_1 189 KB conda-forge re2-2025.08.12 | h5301d42_1 27 KB conda-forge zipp-3.23.0 | pyhd8ed1ab_0 22 KB conda-forge ------------------------------------------------------------ Total: 73.5 MB The following NEW packages will be INSTALLED: importlib-metadata conda-forge/noarch::importlib-metadata-8.7.0-pyhe01879c_1 jax conda-forge/noarch::jax-0.7.2-pyhd8ed1ab_0 jaxlib conda-forge/linux-64::jaxlib-0.7.2-cpu_py312h46d2cd3_0 libabseil conda-forge/linux-64::libabseil-20250512.1-cxx17_hba17884_0 libgrpc conda-forge/linux-64::libgrpc-1.73.1-h3288cfb_1 libprotobuf conda-forge/linux-64::libprotobuf-6.31.1-h49aed37_2 libre2-11 conda-forge/linux-64::libre2-11-2025.08.12-h7b12aa8_1 ml_dtypes conda-forge/linux-64::ml_dtypes-0.5.1-py312hf79963d_1 nomkl conda-forge/noarch::nomkl-1.0-h5ca1d4c_0 numexpr conda-forge/linux-64::numexpr-2.14.1-py312h88efc94_100 opt_einsum conda-forge/noarch::opt_einsum-3.4.0-pyhd8ed1ab_1 pymbar conda-forge/linux-64::pymbar-4.2.0-h7900ff3_1 pymbar-core conda-forge/linux-64::pymbar-core-4.2.0-py312h4f23490_1 re2 conda-forge/linux-64::re2-2025.08.12-h5301d42_1 zipp conda-forge/noarch::zipp-3.23.0-pyhd8ed1ab_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done Warning on use of the timeseries module: If the inherent timescales of the system are long compared to those being analyzed, this statistical inefficiency may be an underestimate. The estimate presumes the use of many statistically independent samples. Tests should be performed to assess whether this condition is satisfied. Be cautious in the interpretation of the data. ERROR: LoadError: InitError: PyError (PyImport_ImportModule The Python package pymbar could not be imported by pyimport. Usually this means that you did not install pymbar 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 pymbar module, you can use `pyimport_conda("pymbar", PKG)`, where PKG is the Anaconda package that contains the module pymbar, 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/pymbar/__init__.py", line 33, in from . import timeseries, testsystems, confidenceintervals File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/pymbar/confidenceintervals.py", line 27, in import scipy.stats File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/stats/__init__.py", line 626, in from ._stats_py import * File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/stats/_stats_py.py", line 40, in from scipy.spatial import distance_matrix 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] __init__() @ PyMBAR ~/.julia/packages/PyMBAR/wKuOi/src/PyMBAR.jl:9 [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 PyMBAR in expression starting at /home/pkgeval/.julia/packages/PyMBAR/wKuOi/test/runtests.jl:8 caused by: PyError (PyImport_ImportModule The Python package pymbar could not be imported by pyimport. Usually this means that you did not install pymbar 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 pymbar module, you can use `pyimport_conda("pymbar", PKG)`, where PKG is the Anaconda package that contains the module pymbar, 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 'pymbar'") 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__() @ PyMBAR ~/.julia/packages/PyMBAR/wKuOi/src/PyMBAR.jl:9 [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 101.87s ERROR: LoadError: Package PyMBAR 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 229.65s: package tests unexpectedly errored