Package evaluation to test AzureClusterlessHPC on Julia 1.14.0-DEV.1893 (b4aba01002*) started at 2026-03-15T16:08:13.857 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.51s ################################################################################ # Installation # Installing AzureClusterlessHPC... Resolving package versions... Installed Conda ── v1.10.3 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.14/Project.toml` [0090f474] + AzureClusterlessHPC v0.1.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [0090f474] + AzureClusterlessHPC v0.1.0 [8f4d0f93] + Conda v1.10.3 ⌅ [682c06a0] + JSON v0.21.4 [1914dd2f] + MacroTools v0.5.16 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [438e738f] + PyCall v1.96.4 [a4af3ec5] + SyntaxTree v1.0.1 [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 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.18.0+1 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [458c3c95] + OpenSSL_jll v3.5.5+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+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 To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall →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 61.15s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 2025.2 ms ✓ Conda 16932.3 ms ✓ PyCall 5981.0 ms ✓ AzureClusterlessHPC 3 dependencies successfully precompiled in 25 seconds. 33 already precompiled. 20 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, Printf, StyledStrings, TOML, UUIDs, Zlib_jll, Zstd_jll and nghttp2_jll). Restart julia to access the new versions. Otherwise, 10 dependents of these packages may trigger further precompilation to work with the unexpected versions. Precompilation completed after 46.98s ################################################################################ # Testing # Testing AzureClusterlessHPC Status `/tmp/jl_SngY94/Project.toml` [0090f474] AzureClusterlessHPC v0.1.0 ⌅ [682c06a0] JSON v0.21.4 [438e738f] PyCall v1.96.4 [a4af3ec5] SyntaxTree v1.0.1 [8ba89e20] Distributed v1.11.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [9e88b42a] Serialization v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_SngY94/Manifest.toml` [0090f474] AzureClusterlessHPC v0.1.0 [8f4d0f93] Conda v1.10.3 ⌅ [682c06a0] JSON v0.21.4 [1914dd2f] MacroTools v0.5.16 [69de0a69] Parsers v2.8.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [438e738f] PyCall v1.96.4 [a4af3ec5] SyntaxTree v1.0.1 [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 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [f489334b] StyledStrings v1.13.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.18.0+1 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [458c3c95] OpenSSL_jll v3.5.5+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Installing azure.batch via the Conda azure-batch==11.0.0 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 azure-batch==11.0.0` 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: - azure-batch==11.0.0 The following packages will be downloaded: package | build ---------------------------|----------------- adal-1.2.7 | pyhd8ed1ab_0 36 KB conda-forge amqp-5.3.1 | pyhd8ed1ab_0 47 KB conda-forge azure-batch-11.0.0 | pyhd8ed1ab_0 124 KB conda-forge azure-common-1.1.28 | pyhd8ed1ab_1 18 KB conda-forge azure-core-1.38.3 | pyhd8ed1ab_0 115 KB conda-forge billiard-4.2.4 | py313h07c4f96_0 213 KB conda-forge blinker-1.9.0 | pyhff2d567_0 14 KB conda-forge boto3-1.42.68 | pyhd8ed1ab_0 84 KB conda-forge botocore-1.42.68 | pyhd8ed1ab_0 8.1 MB conda-forge celery-5.5.3 | pyhe01879c_0 331 KB conda-forge click-8.3.1 | pyh8f84b5b_1 95 KB conda-forge click-didyoumean-0.3.1 | pyhd8ed1ab_1 10 KB conda-forge click-plugins-1.1.1.2 | pyhd8ed1ab_0 12 KB conda-forge click-repl-0.3.0 | pyhd8ed1ab_0 15 KB conda-forge cryptography-46.0.5 | py313heb322e3_0 1.6 MB conda-forge flask-2.2.5 | pyhd8ed1ab_0 82 KB conda-forge importlib-metadata-8.7.0 | pyhe01879c_1 34 KB conda-forge isodate-0.7.2 | pyhd8ed1ab_1 23 KB conda-forge itsdangerous-2.2.0 | pyhd8ed1ab_1 19 KB conda-forge jinja2-3.1.6 | pyhcf101f3_1 118 KB conda-forge jmespath-1.1.0 | pyhcf101f3_1 25 KB conda-forge kombu-5.5.4 | pyha770c72_0 151 KB conda-forge markupsafe-3.0.3 | py313h3dea7bd_1 25 KB conda-forge msrest-0.7.1 | pyhd8ed1ab_1 54 KB conda-forge msrestazure-0.6.4 | pyhd8ed1ab_1 32 KB conda-forge oauthlib-3.3.1 | pyhd8ed1ab_0 100 KB conda-forge prompt-toolkit-3.0.52 | pyha770c72_0 268 KB conda-forge prompt_toolkit-3.0.52 | hd8ed1ab_0 7 KB conda-forge pyjwt-2.12.1 | pyhcf101f3_0 31 KB conda-forge python-dateutil-2.9.0.post0| pyhe01879c_2 228 KB conda-forge python-tzdata-2025.3 | pyhd8ed1ab_0 140 KB conda-forge requests-oauthlib-2.0.0 | pyhd8ed1ab_1 25 KB conda-forge s3transfer-0.16.0 | pyhd8ed1ab_0 65 KB conda-forge six-1.17.0 | pyhe01879c_1 18 KB conda-forge typing_extensions-4.15.0 | pyhcf101f3_0 50 KB conda-forge vine-5.1.0 | pyhd8ed1ab_1 14 KB conda-forge wcwidth-0.6.0 | pyhd8ed1ab_0 70 KB conda-forge werkzeug-3.1.6 | pyhcf101f3_0 251 KB conda-forge zipp-3.23.0 | pyhcf101f3_1 24 KB conda-forge ------------------------------------------------------------ Total: 12.6 MB The following NEW packages will be INSTALLED: adal conda-forge/noarch::adal-1.2.7-pyhd8ed1ab_0 amqp conda-forge/noarch::amqp-5.3.1-pyhd8ed1ab_0 azure-batch conda-forge/noarch::azure-batch-11.0.0-pyhd8ed1ab_0 azure-common conda-forge/noarch::azure-common-1.1.28-pyhd8ed1ab_1 azure-core conda-forge/noarch::azure-core-1.38.3-pyhd8ed1ab_0 billiard conda-forge/linux-64::billiard-4.2.4-py313h07c4f96_0 blinker conda-forge/noarch::blinker-1.9.0-pyhff2d567_0 boto3 conda-forge/noarch::boto3-1.42.68-pyhd8ed1ab_0 botocore conda-forge/noarch::botocore-1.42.68-pyhd8ed1ab_0 celery conda-forge/noarch::celery-5.5.3-pyhe01879c_0 click conda-forge/noarch::click-8.3.1-pyh8f84b5b_1 click-didyoumean conda-forge/noarch::click-didyoumean-0.3.1-pyhd8ed1ab_1 click-plugins conda-forge/noarch::click-plugins-1.1.1.2-pyhd8ed1ab_0 click-repl conda-forge/noarch::click-repl-0.3.0-pyhd8ed1ab_0 cryptography conda-forge/linux-64::cryptography-46.0.5-py313heb322e3_0 flask conda-forge/noarch::flask-2.2.5-pyhd8ed1ab_0 importlib-metadata conda-forge/noarch::importlib-metadata-8.7.0-pyhe01879c_1 isodate conda-forge/noarch::isodate-0.7.2-pyhd8ed1ab_1 itsdangerous conda-forge/noarch::itsdangerous-2.2.0-pyhd8ed1ab_1 jinja2 conda-forge/noarch::jinja2-3.1.6-pyhcf101f3_1 jmespath conda-forge/noarch::jmespath-1.1.0-pyhcf101f3_1 kombu conda-forge/noarch::kombu-5.5.4-pyha770c72_0 markupsafe conda-forge/linux-64::markupsafe-3.0.3-py313h3dea7bd_1 msrest conda-forge/noarch::msrest-0.7.1-pyhd8ed1ab_1 msrestazure conda-forge/noarch::msrestazure-0.6.4-pyhd8ed1ab_1 oauthlib conda-forge/noarch::oauthlib-3.3.1-pyhd8ed1ab_0 prompt-toolkit conda-forge/noarch::prompt-toolkit-3.0.52-pyha770c72_0 prompt_toolkit conda-forge/noarch::prompt_toolkit-3.0.52-hd8ed1ab_0 pyjwt conda-forge/noarch::pyjwt-2.12.1-pyhcf101f3_0 python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhe01879c_2 python-tzdata conda-forge/noarch::python-tzdata-2025.3-pyhd8ed1ab_0 requests-oauthlib conda-forge/noarch::requests-oauthlib-2.0.0-pyhd8ed1ab_1 s3transfer conda-forge/noarch::s3transfer-0.16.0-pyhd8ed1ab_0 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 typing_extensions conda-forge/noarch::typing_extensions-4.15.0-pyhcf101f3_0 vine conda-forge/noarch::vine-5.1.0-pyhd8ed1ab_1 wcwidth conda-forge/noarch::wcwidth-0.6.0-pyhd8ed1ab_0 werkzeug conda-forge/noarch::werkzeug-3.1.6-pyhcf101f3_0 zipp conda-forge/noarch::zipp-3.23.0-pyhcf101f3_1 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Installing azure.storage.queue via the Conda azure-storage-queue==1.4.0 package... [ Info: Running `conda config --add channels conda-forge --file /home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml --force` in root environment Warning: 'conda-forge' already in 'channels' list, moving to the top [ Info: Running `conda install -q -y azure-storage-queue==1.4.0` 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: - azure-storage-queue==1.4.0 The following packages will be downloaded: package | build ---------------------------|----------------- azure-storage-common-1.3.0 | py_0 35 KB conda-forge azure-storage-queue-1.4.0 | py_0 22 KB conda-forge ------------------------------------------------------------ Total: 56 KB The following NEW packages will be INSTALLED: azure-storage-com~ conda-forge/noarch::azure-storage-common-1.3.0-py_0 azure-storage-que~ conda-forge/noarch::azure-storage-queue-1.4.0-py_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ERROR: LoadError: InitError: PyError (PyImport_ImportModule The Python package azure.storage.queue could not be imported by pyimport. Usually this means that you did not install azure.storage.queue 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 azure.storage.queue module, you can use `pyimport_conda("azure.storage.queue", PKG)`, where PKG is the Anaconda package that contains the module azure.storage.queue, 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 'pkg_resources'") File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.13/site-packages/azure/storage/__init__.py", line 1, in __import__('pkg_resources').declare_namespace(__name__) ~~~~~~~~~~^^^^^^^^^^^^^^^^^ 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__() @ AzureClusterlessHPC ~/.julia/packages/AzureClusterlessHPC/iXSzU/src/AzureClusterlessHPC.jl:42 [4] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1602 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1590 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1478 [7] _include_from_serialized @ ./loading.jl:1435 [inlined] [8] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2306 [9] _require_search_from_serialized @ ./loading.jl:2201 [inlined] [10] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2834 [11] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2695 [12] macro expansion @ ./loading.jl:2622 [inlined] [13] macro expansion @ ./lock.jl:376 [inlined] [14] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2586 [15] require @ ./loading.jl:2562 [inlined] [16] eval_import_path @ ./module.jl:36 [inlined] [17] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [18] _eval_using @ ./module.jl:137 [inlined] [19] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [20] top-level scope @ ~/.julia/packages/AzureClusterlessHPC/iXSzU/test/TestCore.jl:16 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [22] top-level scope @ ~/.julia/packages/AzureClusterlessHPC/iXSzU/test/runtests.jl:25 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [24] top-level scope @ none:6 [25] eval(m::Module, e::Any) @ Core ./boot.jl:517 [26] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [27] _start() @ Base ./client.jl:585 during initialization of module AzureClusterlessHPC in expression starting at /home/pkgeval/.julia/packages/AzureClusterlessHPC/iXSzU/test/TestCore.jl:6 in expression starting at /home/pkgeval/.julia/packages/AzureClusterlessHPC/iXSzU/test/runtests.jl:21 caused by: PyError (PyImport_ImportModule The Python package azure.storage.queue could not be imported by pyimport. Usually this means that you did not install azure.storage.queue 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 azure.storage.queue module, you can use `pyimport_conda("azure.storage.queue", PKG)`, where PKG is the Anaconda package that contains the module azure.storage.queue, 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 'azure.storage'") 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__() @ AzureClusterlessHPC ~/.julia/packages/AzureClusterlessHPC/iXSzU/src/AzureClusterlessHPC.jl:42 [4] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1602 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1590 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1478 [7] _include_from_serialized @ ./loading.jl:1435 [inlined] [8] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2306 [9] _require_search_from_serialized @ ./loading.jl:2201 [inlined] [10] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2834 [11] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2695 [12] macro expansion @ ./loading.jl:2622 [inlined] [13] macro expansion @ ./lock.jl:376 [inlined] [14] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2586 [15] require @ ./loading.jl:2562 [inlined] [16] eval_import_path @ ./module.jl:36 [inlined] [17] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [18] _eval_using @ ./module.jl:137 [inlined] [19] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [20] top-level scope @ ~/.julia/packages/AzureClusterlessHPC/iXSzU/test/TestCore.jl:16 [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [22] top-level scope @ ~/.julia/packages/AzureClusterlessHPC/iXSzU/test/runtests.jl:25 [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [24] top-level scope @ none:6 [25] eval(m::Module, e::Any) @ Core ./boot.jl:517 [26] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [27] _start() @ Base ./client.jl:585 Testing failed after 91.9s ERROR: LoadError: Package AzureClusterlessHPC errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/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/v1.14/Pkg/src/Operations.jl:3138 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [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/v1.14/Pkg/src/API.jl:586 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:562 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:323 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 236.03s: package tests unexpectedly errored