Package evaluation of AzureClusterlessHPC on Julia 1.13.0-DEV.449 (8d6b63c3a6*) started at 2025-04-29T01:14:10.183 ################################################################################ # Set-up # Set-up completed after 0.17s ################################################################################ # Installation # Installing AzureClusterlessHPC... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.13/Project.toml` [0090f474] + AzureClusterlessHPC v0.1.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [0090f474] + AzureClusterlessHPC v0.1.0 [8f4d0f93] + Conda v1.10.2 [682c06a0] + JSON v0.21.4 [1914dd2f] + MacroTools v0.5.16 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [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 v1.12.0 [b27032c2] + LibCURL v0.6.4 [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 [de0858da] + Printf 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 [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 v8.12.1+1 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.65.0+0 Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b19db3927f0db4151cb86d073689f2428e524576/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Installation completed after 47.59s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling packages... 8359.8 ms ✓ AzureClusterlessHPC 1 dependency successfully precompiled in 8 seconds. 34 already precompiled. Precompilation completed after 17.98s ################################################################################ # 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 /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 azure-batch==11.0.0` 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: - 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-1.33.0 | pyhd8ed1ab_0 107 KB conda-forge blinker-1.9.0 | pyhff2d567_0 14 KB conda-forge cryptography-44.0.2 | py312hda17c39_0 1.5 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-3.2.2 | pyhd8ed1ab_1 95 KB conda-forge pyjwt-2.10.1 | pyhd8ed1ab_0 25 KB conda-forge python-dateutil-2.9.0.post0| pyhff2d567_1 217 KB conda-forge requests-oauthlib-2.0.0 | pyhd8ed1ab_1 25 KB conda-forge six-1.17.0 | pyhd8ed1ab_0 16 KB conda-forge typing_extensions-4.13.2 | pyh29332c3_0 51 KB conda-forge ------------------------------------------------------------ Total: 2.3 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-1.33.0-pyhd8ed1ab_0 blinker conda-forge/noarch::blinker-1.9.0-pyhff2d567_0 cryptography conda-forge/linux-64::cryptography-44.0.2-py312hda17c39_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-3.2.2-pyhd8ed1ab_1 pyjwt conda-forge/noarch::pyjwt-2.10.1-pyhd8ed1ab_0 python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhff2d567_1 requests-oauthlib conda-forge/noarch::requests-oauthlib-2.0.0-pyhd8ed1ab_1 six conda-forge/noarch::six-1.17.0-pyhd8ed1ab_0 typing_extensions conda-forge/noarch::typing_extensions-4.13.2-pyh29332c3_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 - 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: - 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. ) ImportError("/opt/julia/bin/../lib/julia/libcrypto.so.3: version `OPENSSL_3.2.0' not found (required by /home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/cryptography/hazmat/bindings/_rust.abi3.so)") File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/azure/storage/queue/__init__.py", line 13, in from .queueservice import QueueService File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/azure/storage/queue/queueservice.py", line 59, in from ._deserialization import ( File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/azure/storage/queue/_deserialization.py", line 24, in from ._encryption import ( File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/azure/storage/queue/_encryption.py", line 16, in from cryptography.hazmat.primitives.padding import PKCS7 File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/cryptography/hazmat/primitives/padding.py", line 11, in from cryptography.exceptions import AlreadyFinalized File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/cryptography/exceptions.py", line 9, in from cryptography.hazmat.bindings._rust import exceptions as rust_exceptions 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:1415 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1403 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1291 [7] _include_from_serialized @ ./loading.jl:1246 [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:2087 [9] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2599 [10] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2465 [11] macro expansion @ ./loading.jl:2393 [inlined] [12] macro expansion @ ./lock.jl:376 [inlined] [13] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2358 [14] require(into::Module, mod::Symbol) @ Base ./loading.jl:2334 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:297 [17] _start() @ Base ./client.jl:563 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:1415 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1403 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1291 [7] _include_from_serialized @ ./loading.jl:1246 [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:2087 [9] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2599 [10] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2465 [11] macro expansion @ ./loading.jl:2393 [inlined] [12] macro expansion @ ./lock.jl:376 [inlined] [13] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2358 [14] require(into::Module, mod::Symbol) @ Base ./loading.jl:2334 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:297 [17] _start() @ Base ./client.jl:563 Loading failed after 50.57s ERROR: LoadError: failed process: Process(`/opt/julia/bin/julia -C native -J/opt/julia/lib/julia/sys.so -g1 --check-bounds=yes --inline=yes --pkgimages=existing -e 'using AzureClusterlessHPC'`, ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:602 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:517 [3] run(::Cmd) @ Base ./process.jl:514 [4] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:193 [5] include(mod::Module, _path::String) @ Base ./Base.jl:303 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:331 [7] _start() @ Base ./client.jl:563 in expression starting at /PkgEval.jl/scripts/evaluate.jl:184 PkgEval failed after 191.46s: there were unidentified errors