Package evaluation to test InterpretMe on Julia 1.12.7-DEV.42 (6f510b6086*) started at 2026-06-19T10:11:38.582 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 8.57s ################################################################################ # Installation # Installing InterpretMe... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [e2b23942] + InterpretMe v0.1.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [e2b23942] + InterpretMe v0.1.0 [10745b16] + Statistics v1.11.1 [56f22d72] + Artifacts v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 1.45s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 1459.0 ms ✓ InterpretMe 982.8 ms ✓ ScikitLearnBase 1059.0 ms ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 12334.8 ms ✓ StatsBase 1235.0 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 51053.0 ms ✓ RData 17291.6 ms ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 199727.4 ms ✓ ScikitLearn 95922.3 ms ✓ RDatasets 9 dependencies successfully precompiled in 381 seconds. 93 already precompiled. 24 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibGit2, LibGit2_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, Pkg, Printf, StyledStrings, TOML, Tar, UUIDs, Zlib_jll, nghttp2_jll and p7zip_jll). Restart julia to access the new versions. Otherwise, 40 dependents of these packages may trigger further precompilation to work with the unexpected versions. Precompilation completed after 443.9s ################################################################################ # Testing # Testing InterpretMe Status `/tmp/jl_Tx34Tp/Project.toml` [e2b23942] InterpretMe v0.1.0 [ce6b1742] RDatasets v0.8.1 [3646fa90] ScikitLearn v0.7.0 [10745b16] Statistics v1.11.1 [37e2e46d] LinearAlgebra v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Tx34Tp/Manifest.toml` [336ed68f] CSV v0.10.16 [324d7699] CategoricalArrays v1.1.1 [944b1d66] CodecZlib v0.7.8 [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [ffbed154] DocStringExtensions v0.9.5 [e2ba6199] ExprTools v0.1.10 [5789e2e9] FileIO v1.19.0 [48062228] FilePathsBase v0.9.24 [842dd82b] InlineStrings v1.4.5 [e2b23942] InterpretMe v0.1.0 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [682c06a0] JSON v1.6.1 [b964fa9f] LaTeXStrings v1.4.0 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [78c3b35d] Mocking v0.8.1 ⌅ [bac558e1] OrderedCollections v1.8.2 ⌅ [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.6 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [08abe8d2] PrettyTables v3.3.2 [438e738f] PyCall v1.96.4 [df47a6cb] RData v1.1.0 [ce6b1742] RDatasets v0.8.1 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.10 [a2af1166] SortingAlgorithms v1.2.2 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [892a3eda] StringManipulation v0.4.4 [ec057cc2] StructUtils v2.8.2 [dc5dba14] TZJData v1.5.0+2025b [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [f269a46b] TimeZones v1.22.2 [3bb67fe8] TranscodingStreams v0.11.3 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [ea10d353] WeakRefStrings v1.4.3 [76eceee3] WorkerUtilities v1.6.1 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.12.1 [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 [2f01184e] SparseArrays v1.12.0 [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+0 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.6+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... 6277.0 ms ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 1 dependency successfully precompiled in 7 seconds. 30 already precompiled. 30 dependencies precompiled but different versions are currently loaded (Base64, CategoricalArrays, Compat, Compat → CompatLinearAlgebraExt, DataAPI, DataStructures, Dates, DocStringExtensions, Future, InteractiveUtils, IrrationalConstants, JuliaSyntaxHighlighting, LogExpFunctions, Markdown, Missings, OrderedCollections, Printf, Requires, Serialization, SortingAlgorithms, SparseArrays, Statistics, Statistics → SparseArraysExt, StatsAPI, StatsBase, StyledStrings, SuiteSparse_jll, TOML, UUIDs and Unicode). Restart julia to access the new versions. Otherwise, 1 dependent of these packages may trigger further precompilation to work with the unexpected versions. Precompiling packages... 1259.7 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 1 dependency successfully precompiled in 1 seconds. 19 already precompiled. 19 dependencies precompiled but different versions are currently loaded (CategoricalArrays, Compat, Compat → CompatLinearAlgebraExt, DataAPI, Dates, Future, JSON, Logging, Missings, Parsers, PrecompileTools, Preferences, Printf, Requires, Statistics, StructUtils, TOML, UUIDs and Unicode). Restart julia to access the new versions. Otherwise, 1 dependent of these packages may trigger further precompilation to work with the unexpected versions. [ Info: Running `conda install -q -y -c anaconda conda` in root environment Channels: - anaconda - 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: - conda The following packages will be downloaded: package | build ---------------------------|----------------- annotated-types-0.6.0 | py313h06a4308_1 26 KB anaconda anyio-4.12.1 | py313h06a4308_0 311 KB anaconda click-8.4.1 | py313h06a4308_0 352 KB anaconda conda-26.5.3 | py313h06a4308_0 1.4 MB anaconda conda-index-0.11.0 | py313h06a4308_0 110 KB anaconda conda-lockfiles-0.2.0 | py313h06a4308_0 34 KB anaconda conda-pypi-0.10.1 | py313h06a4308_0 287 KB anaconda conda-rattler-solver-0.1.0 | py313h06a4308_0 129 KB anaconda conda-self-0.2.0 | py313h06a4308_0 37 KB anaconda filelock-3.29.4 | py313h06a4308_0 96 KB anaconda h11-0.16.0 | py313h06a4308_1 60 KB anaconda httpcore-1.0.9 | py313h06a4308_0 122 KB anaconda httpx-0.28.1 | py313h06a4308_1 215 KB anaconda jinja2-3.1.6 | py313h06a4308_0 344 KB anaconda markupsafe-3.0.2 | py313h5eee18b_0 27 KB anaconda py-rattler-0.23.1 | py313h04fe016_0 13.4 MB anaconda pydantic-2.13.4 | py313h06a4308_0 1.2 MB anaconda pydantic-core-2.46.4 | py313h6e1b9ff_0 2.1 MB anaconda pyproject_hooks-1.2.0 | py313h06a4308_1 30 KB anaconda python-build-1.3.0 | py313h06a4308_1 72 KB anaconda python-installer-1.0.0 | pyhd3eb1b0_0 318 KB anaconda typing-extensions-4.15.0 | py313h06a4308_0 11 KB anaconda typing-inspection-0.4.2 | py313h06a4308_0 31 KB anaconda typing_extensions-4.15.0 | py313h06a4308_0 95 KB anaconda unearth-0.17.5 | py313h06a4308_1 351 KB anaconda ------------------------------------------------------------ Total: 21.0 MB The following NEW packages will be INSTALLED: annotated-types anaconda/linux-64::annotated-types-0.6.0-py313h06a4308_1 anyio anaconda/linux-64::anyio-4.12.1-py313h06a4308_0 click anaconda/linux-64::click-8.4.1-py313h06a4308_0 conda-index anaconda/linux-64::conda-index-0.11.0-py313h06a4308_0 conda-lockfiles anaconda/linux-64::conda-lockfiles-0.2.0-py313h06a4308_0 conda-pypi anaconda/linux-64::conda-pypi-0.10.1-py313h06a4308_0 conda-rattler-sol~ anaconda/linux-64::conda-rattler-solver-0.1.0-py313h06a4308_0 conda-self anaconda/linux-64::conda-self-0.2.0-py313h06a4308_0 filelock anaconda/linux-64::filelock-3.29.4-py313h06a4308_0 h11 anaconda/linux-64::h11-0.16.0-py313h06a4308_1 httpcore anaconda/linux-64::httpcore-1.0.9-py313h06a4308_0 httpx anaconda/linux-64::httpx-0.28.1-py313h06a4308_1 jinja2 anaconda/linux-64::jinja2-3.1.6-py313h06a4308_0 markupsafe anaconda/linux-64::markupsafe-3.0.2-py313h5eee18b_0 py-rattler anaconda/linux-64::py-rattler-0.23.1-py313h04fe016_0 pydantic anaconda/linux-64::pydantic-2.13.4-py313h06a4308_0 pydantic-core anaconda/linux-64::pydantic-core-2.46.4-py313h6e1b9ff_0 pyproject_hooks anaconda/linux-64::pyproject_hooks-1.2.0-py313h06a4308_1 python-build anaconda/linux-64::python-build-1.3.0-py313h06a4308_1 python-installer anaconda/noarch::python-installer-1.0.0-pyhd3eb1b0_0 typing-extensions anaconda/linux-64::typing-extensions-4.15.0-py313h06a4308_0 typing-inspection anaconda/linux-64::typing-inspection-0.4.2-py313h06a4308_0 typing_extensions anaconda/linux-64::typing_extensions-4.15.0-py313h06a4308_0 unearth anaconda/linux-64::unearth-0.17.5-py313h06a4308_1 The following packages will be UPDATED: conda conda-forge::conda-26.3.2-py313h78bf2~ --> anaconda::conda-26.5.3-py313h06a4308_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Running `conda install -q -y -c conda-forge 'libstdcxx-ng>=3.4,<13.0'` 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: - libstdcxx-ng[version='>=3.4,<13.0'] The following packages will be downloaded: package | build ---------------------------|----------------- libgcc-15.2.0 | h767d61c_6 804 KB conda-forge libgcc-ng-15.2.0 | h69a702a_6 29 KB conda-forge libgomp-15.2.0 | h767d61c_6 438 KB conda-forge libstdcxx-15.2.0 | h8f9b012_6 3.7 MB conda-forge libstdcxx-ng-12.3.0 | hc0a3c3a_7 3.3 MB conda-forge ------------------------------------------------------------ Total: 8.3 MB The following NEW packages will be INSTALLED: libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-12.3.0-hc0a3c3a_7 The following packages will be REVISED: libgcc 15.2.0-he0feb66_19 --> 15.2.0-h767d61c_6 libgcc-ng 15.2.0-h69a702a_19 --> 15.2.0-h69a702a_6 libgomp 15.2.0-he0feb66_19 --> 15.2.0-h767d61c_6 libstdcxx 15.2.0-h934c35e_19 --> 15.2.0-h8f9b012_6 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Installing sklearn via the Conda scikit-learn>=1.2,<1.3 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 'scikit-learn>=1.2,<1.3'` in root environment Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed LibMambaUnsatisfiableError: Encountered problems while solving: - package scikit-learn-1.2.0-py310h209a8ca_0 requires python >=3.10,<3.11.0a0, but none of the providers can be installed Could not solve for environment specs The following packages are incompatible ├─ pin on python =3.13 * is installable and it requires │ └─ python =3.13 *, which can be installed; └─ scikit-learn >=1.2,<1.3 * is not installable because there are no viable options ├─ scikit-learn [1.2.0|1.2.1|1.2.2] would require │ └─ python >=3.10,<3.11.0a0 *, which conflicts with any installable versions previously reported; ├─ scikit-learn [1.2.0|1.2.1|1.2.2] would require │ └─ python >=3.11,<3.12.0a0 *, which conflicts with any installable versions previously reported; ├─ scikit-learn [1.2.0|1.2.1|1.2.2] would require │ └─ python >=3.8,<3.9.0a0 *, which conflicts with any installable versions previously reported; └─ scikit-learn [1.2.0|1.2.1|1.2.2] would require └─ python >=3.9,<3.10.0a0 *, which conflicts with any installable versions previously reported. Pins seem to be involved in the conflict. Currently pinned specs: - python=3.13 ERROR: LoadError: UndefVarError: `CONDA` not defined in `ScikitLearn.Skcore` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:225 [2] top-level scope @ ~/.julia/packages/InterpretMe/zfL8T/test/runtests.jl:272 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [4] top-level scope @ none:6 [5] eval(m::Module, e::Any) @ Core ./boot.jl:489 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:283 [7] _start() @ Base ./client.jl:550 in expression starting at /home/pkgeval/.julia/packages/InterpretMe/zfL8T/test/runtests.jl:6 caused by: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y 'scikit-learn>=1.2,<1.3'`,["LANG=C.UTF-8", "PYTHONIOENCODING=UTF-8", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin:/opt/julia/bin", "OPENBLAS_MAIN_FREE=1", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "JULIA_CPU_THREADS=1", "JULIA_NUM_PRECOMPILE_TASKS=1", "DISPLAY=:1", "JULIA_LOAD_PATH=@:/tmp/jl_Tx34Tp", "PKGEVAL=true", "OPENBLAS_NUM_THREADS=1", "HOME=/home/pkgeval", "CI=true", "JULIA_PKG_PRECOMPILE_AUTO=0", "JULIA_PKGEVAL=true", "JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "R_HOME=*", "JULIA_NUM_THREADS=1"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:597 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:512 [3] run @ ./process.jl:509 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/05AVg/src/Conda.jl:343 [6] add (repeats 2 times) @ ~/.julia/packages/Conda/05AVg/src/Conda.jl:326 [inlined] [7] pyimport_conda(modulename::String, condapkg::String, channel::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:721 [8] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:219 [9] top-level scope @ ~/.julia/packages/InterpretMe/zfL8T/test/runtests.jl:272 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [11] top-level scope @ none:6 [12] eval(m::Module, e::Any) @ Core ./boot.jl:489 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:283 [14] _start() @ Base ./client.jl:550 caused by: PyError (PyImport_ImportModule The Python package sklearn could not be imported by pyimport. Usually this means that you did not install sklearn 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 sklearn module, you can use `pyimport_conda("sklearn", PKG)`, where PKG is the Anaconda package that contains the module sklearn, 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 'sklearn'") 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] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:219 [4] top-level scope @ ~/.julia/packages/InterpretMe/zfL8T/test/runtests.jl:272 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [6] top-level scope @ none:6 [7] eval(m::Module, e::Any) @ Core ./boot.jl:489 [8] exec_options(opts::Base.JLOptions) @ Base ./client.jl:283 [9] _start() @ Base ./client.jl:550 Testing failed after 132.48s ERROR: LoadError: Package InterpretMe errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{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/v1.12/Pkg/src/Operations.jl:2538 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2387 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{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/v1.12/Pkg/src/API.jl:552 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:169 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:156 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:306 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:317 [12] _start() @ Base ./client.jl:550 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 606.45s: package tests unexpectedly errored