Package evaluation of WandbMacros on Julia 1.13.0-DEV.449 (8d6b63c3a6*) started at 2025-04-29T00:51:39.799 ################################################################################ # Set-up # Set-up completed after 0.19s ################################################################################ # Installation # Installing WandbMacros... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.13/Project.toml` [e69cbec5] + WandbMacros v1.0.1 Updating `~/.julia/environments/v1.13/Manifest.toml` [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 [81def892] + VersionParsing v1.3.0 [e69cbec5] + WandbMacros v1.0.1 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [b27032c2] + LibCURL v0.6.4 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [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 [fa267f1f] + TOML v1.0.3 [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 42.03s ################################################################################ # 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... 2724.2 ms ✓ WandbMacros 1 dependency successfully precompiled in 3 seconds. 25 already precompiled. Precompilation completed after 8.72s ################################################################################ # Loading # Loading WandbMacros... [ Info: Installing wandb via the Conda wandb 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 wandb` 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: - wandb The following packages will be downloaded: package | build ---------------------------|----------------- annotated-types-0.7.0 | pyhd8ed1ab_1 18 KB conda-forge appdirs-1.4.4 | pyhd8ed1ab_1 14 KB conda-forge click-8.1.8 | pyh707e725_0 83 KB conda-forge docker-pycreds-0.4.0 | py_0 11 KB conda-forge eval_type_backport-0.2.2 | pyha770c72_0 11 KB conda-forge gitdb-4.0.12 | pyhd8ed1ab_0 52 KB conda-forge gitpython-3.1.44 | pyhff2d567_0 154 KB conda-forge libabseil-20250127.1 | cxx17_hbbce691_0 1.3 MB conda-forge protobuf-5.29.3 | py312h0f4f066_0 468 KB conda-forge psutil-7.0.0 | py312h66e93f0_0 455 KB conda-forge pydantic-2.11.3 | pyh3cfb1c2_0 299 KB conda-forge pydantic-core-2.33.1 | py312h3b7be25_0 1.8 MB conda-forge pyyaml-6.0.2 | py312h178313f_2 202 KB conda-forge sentry-sdk-2.27.0 | pyhd8ed1ab_0 214 KB conda-forge setproctitle-1.3.5 | py312h66e93f0_0 20 KB conda-forge six-1.17.0 | pyhd8ed1ab_0 16 KB conda-forge smmap-5.0.2 | pyhd8ed1ab_0 25 KB conda-forge typing-3.10.0.0 | pyhd8ed1ab_2 9 KB conda-forge typing-extensions-4.13.2 | h0e9735f_0 88 KB conda-forge typing-inspection-0.4.0 | pyhd8ed1ab_0 18 KB conda-forge typing_extensions-4.13.2 | pyh29332c3_0 51 KB conda-forge wandb-0.19.10 | py312h12e396e_0 18.0 MB conda-forge yaml-0.2.5 | h7f98852_2 87 KB conda-forge ------------------------------------------------------------ Total: 23.3 MB The following NEW packages will be INSTALLED: annotated-types conda-forge/noarch::annotated-types-0.7.0-pyhd8ed1ab_1 appdirs conda-forge/noarch::appdirs-1.4.4-pyhd8ed1ab_1 click conda-forge/noarch::click-8.1.8-pyh707e725_0 docker-pycreds conda-forge/noarch::docker-pycreds-0.4.0-py_0 eval_type_backport conda-forge/noarch::eval_type_backport-0.2.2-pyha770c72_0 gitdb conda-forge/noarch::gitdb-4.0.12-pyhd8ed1ab_0 gitpython conda-forge/noarch::gitpython-3.1.44-pyhff2d567_0 libabseil conda-forge/linux-64::libabseil-20250127.1-cxx17_hbbce691_0 protobuf conda-forge/linux-64::protobuf-5.29.3-py312h0f4f066_0 psutil conda-forge/linux-64::psutil-7.0.0-py312h66e93f0_0 pydantic conda-forge/noarch::pydantic-2.11.3-pyh3cfb1c2_0 pydantic-core conda-forge/linux-64::pydantic-core-2.33.1-py312h3b7be25_0 pyyaml conda-forge/linux-64::pyyaml-6.0.2-py312h178313f_2 sentry-sdk conda-forge/noarch::sentry-sdk-2.27.0-pyhd8ed1ab_0 setproctitle conda-forge/linux-64::setproctitle-1.3.5-py312h66e93f0_0 six conda-forge/noarch::six-1.17.0-pyhd8ed1ab_0 smmap conda-forge/noarch::smmap-5.0.2-pyhd8ed1ab_0 typing conda-forge/noarch::typing-3.10.0.0-pyhd8ed1ab_2 typing-extensions conda-forge/noarch::typing-extensions-4.13.2-h0e9735f_0 typing-inspection conda-forge/noarch::typing-inspection-0.4.0-pyhd8ed1ab_0 typing_extensions conda-forge/noarch::typing_extensions-4.13.2-pyh29332c3_0 wandb conda-forge/linux-64::wandb-0.19.10-py312h12e396e_0 yaml conda-forge/linux-64::yaml-0.2.5-h7f98852_2 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ERROR: InitError: PyError (PyImport_ImportModule The Python package wandb could not be imported by pyimport. Usually this means that you did not install wandb 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 wandb module, you can use `pyimport_conda("wandb", PKG)`, where PKG is the Anaconda package that contains the module wandb, 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_3.3.0' not found (required by /home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/lib-dynload/_ssl.cpython-312-x86_64-linux-gnu.so)") File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/wandb/__init__.py", line 199, in from .analytics import Sentry as _Sentry File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/wandb/analytics/__init__.py", line 3, in from .sentry import Sentry File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/wandb/analytics/sentry.py", line 15, in import sentry_sdk # type: ignore ^^^^^^^^^^^^^^^^^ File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sentry_sdk/__init__.py", line 1, in from sentry_sdk.scope import Scope File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sentry_sdk/scope.py", line 1804, in from sentry_sdk.client import NonRecordingClient File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sentry_sdk/client.py", line 28, in from sentry_sdk.transport import BaseHttpTransport, make_transport File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/sentry_sdk/transport.py", line 6, in import ssl File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/ssl.py", line 100, in import _ssl # if we can't import it, let the error propagate ^^^^^^^^^^^ 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__() @ WandbMacros ~/.julia/packages/WandbMacros/nql0C/src/WandbMacros.jl:10 [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 WandbMacros caused by: PyError (PyImport_ImportModule The Python package wandb could not be imported by pyimport. Usually this means that you did not install wandb 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 wandb module, you can use `pyimport_conda("wandb", PKG)`, where PKG is the Anaconda package that contains the module wandb, 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 'wandb'") 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__() @ WandbMacros ~/.julia/packages/WandbMacros/nql0C/src/WandbMacros.jl:10 [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 25.08s 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 WandbMacros'`, 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 105.39s: there were unidentified errors