Package evaluation to load AzureClusterlessHPC on Julia 1.14.0-DEV.1688 (ee54f91d68*) started at 2026-02-10T03:44:30.969 ################################################################################ # Set-up # Set-up completed after 0.12s ################################################################################ # 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 v1.5.1 [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+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [83775a58] + Zlib_jll v1.3.1+2 [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 To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall →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 57.24s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Project No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` Manifest No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling packages... 1791.2 ms ✓ Conda 19137.2 ms ✓ PyCall 6021.4 ms ✓ AzureClusterlessHPC 3 dependencies successfully precompiled in 27 seconds. 33 already precompiled. Precompilation completed after 37.45s ################################################################################ # Loading # Loading AzureClusterlessHPC... [ 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 azure-batch-11.0.0 | pyhd8ed1ab_0 124 KB conda-forge azure-common-1.1.28 | pyhd8ed1ab_1 18 KB conda-forge azure-core-1.38.0 | pyhd8ed1ab_0 114 KB conda-forge blinker-1.9.0 | pyhff2d567_0 14 KB conda-forge cryptography-46.0.4 | py313heb322e3_0 1.6 MB conda-forge isodate-0.7.2 | pyhd8ed1ab_1 23 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 pyjwt-2.11.0 | pyhd8ed1ab_0 29 KB conda-forge python-dateutil-2.9.0.post0| pyhe01879c_2 228 KB conda-forge requests-oauthlib-2.0.0 | pyhd8ed1ab_1 25 KB conda-forge six-1.17.0 | pyhe01879c_1 18 KB conda-forge typing_extensions-4.15.0 | pyhcf101f3_0 50 KB conda-forge ------------------------------------------------------------ Total: 2.5 MB The following NEW packages will be INSTALLED: adal conda-forge/noarch::adal-1.2.7-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-1.38.0-pyhd8ed1ab_0 blinker conda-forge/noarch::blinker-1.9.0-pyhff2d567_0 cryptography conda-forge/linux-64::cryptography-46.0.4-py313heb322e3_0 isodate conda-forge/noarch::isodate-0.7.2-pyhd8ed1ab_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 pyjwt conda-forge/noarch::pyjwt-2.11.0-pyhd8ed1ab_0 python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhe01879c_2 requests-oauthlib conda-forge/noarch::requests-oauthlib-2.0.0-pyhd8ed1ab_1 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 typing_extensions conda-forge/noarch::typing_extensions-4.15.0-pyhcf101f3_0 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: 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:1600 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1588 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1476 [7] _include_from_serialized @ ./loading.jl:1433 [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:2305 [9] _require_search_from_serialized @ ./loading.jl:2200 [inlined] [10] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2854 [11] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2715 [12] macro expansion @ ./loading.jl:2642 [inlined] [13] macro expansion @ ./lock.jl:376 [inlined] [14] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2606 [15] require @ ./loading.jl:2582 [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 @ none:1 [21] eval(m::Module, e::Any) @ Core ./boot.jl:489 [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [23] _start() @ Base ./client.jl:585 during initialization of module AzureClusterlessHPC 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:1600 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1588 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1476 [7] _include_from_serialized @ ./loading.jl:1433 [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:2305 [9] _require_search_from_serialized @ ./loading.jl:2200 [inlined] [10] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2854 [11] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2715 [12] macro expansion @ ./loading.jl:2642 [inlined] [13] macro expansion @ ./lock.jl:376 [inlined] [14] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2606 [15] require @ ./loading.jl:2582 [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 @ none:1 [21] eval(m::Module, e::Any) @ Core ./boot.jl:489 [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [23] _start() @ Base ./client.jl:585 Loading failed after 67.89s ERROR: LoadError: failed process: Process(`/opt/julia/bin/julia -C native -J/opt/julia/lib/julia/sys.so -g1 --check-bounds=yes --inline=yes --check-bounds=yes --pkgimages=existing -e 'using AzureClusterlessHPC'`, ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:610 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:525 [3] run(::Cmd) @ Base ./process.jl:522 [4] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:197 [5] include(mod::Module, _path::String) @ Base ./Base.jl:309 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [7] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:188 PkgEval failed after 186.93s: there were unidentified errors