Package evaluation of BiochemNetABC on Julia 1.13.0-DEV.853 (3e868b27cf*) started at 2025-07-17T08:58:30.559 ################################################################################ # Set-up # Set-up completed after 0.2s ################################################################################ # Installation # Installing BiochemNetABC... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.13/Project.toml` [eb87d800] + BiochemNetABC v0.1.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [9d0fb3db] + ARFIMA v0.4.0 [1520ce14] + AbstractTrees v0.4.5 [66dad0bd] + AliasTables v1.1.3 [eb87d800] + BiochemNetABC v0.1.0 [d1d4a3ce] + BitFlags v0.1.9 [944b1d66] + CodecZlib v0.7.8 [35d6a980] + ColorSchemes v3.30.0 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.1 [34da2185] + Compat v4.17.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [8f4d0f93] + Conda v1.10.2 [d38c429a] + Contour v0.6.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [7806a523] + DecisionTree v0.12.4 [8bb1440f] + DelimitedFiles v1.9.1 [b4f34e82] + Distances v0.10.12 [aaf54ef3] + DistributedArrays v0.6.7 [31c24e10] + Distributions v0.25.120 [ffbed154] + 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v17.5.0+2 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 To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b19db3927f0db4151cb86d073689f2428e524576/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Installation completed after 49.33s ################################################################################ # 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... 132364.5 ms ✓ BiochemNetABC 1 dependency successfully precompiled in 137 seconds. 235 already precompiled. Precompilation completed after 144.46s ################################################################################ # Loading # Loading BiochemNetABC... [ 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 ---------------------------|----------------- conda-25.5.1 | py312h06a4308_0 1.2 MB anaconda ------------------------------------------------------------ Total: 1.2 MB The following packages will be UPDATED: conda conda-forge::conda-25.3.0-py312h7900f~ --> anaconda::conda-25.5.1-py312h06a4308_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done [ Info: Running `conda install -q -y -c conda-forge libstdcxx-ngnothing` in root environment Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundError: The following packages are not available from current channels: - libstdcxx-ngnothing Current channels: - https://conda.anaconda.org/conda-forge To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page. [ Info: scikit-learn isn't properly installed.Please make sure PyCall is using the default Conda or non-conda local python. ERROR: InitError: failed process: Process(setenv(`/home/pkgeval/.julia/conda/3/x86_64/bin/conda install -q -y -c conda-forge libstdcxx-ngnothing`,["JULIA_DEPOT_PATH=/home/pkgeval/.julia:/usr/local/share/julia:", "LANG=C.UTF-8", "JULIA_NUM_THREADS=1", "PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin", "CONDA_PREFIX=/home/pkgeval/.julia/conda/3/x86_64", "OPENBLAS_NUM_THREADS=1", "JULIA_NUM_PRECOMPILE_TASKS=1", "CI=true", "JULIA_PKG_PRECOMPILE_AUTO=0", "JULIA_PKGEVAL=true", "CONDARC=/home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml", "OPENBLAS_MAIN_FREE=1", "DISPLAY=:1", "HOME=/home/pkgeval", "PYTHONIOENCODING=UTF-8", "R_HOME=*", "JULIA_CPU_THREADS=1", "PKGEVAL=true"]), ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:602 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:517 [3] run @ ./process.jl:514 [inlined] [4] runconda(args::Cmd, env::String) @ Conda ~/.julia/packages/Conda/zReqD/src/Conda.jl:182 [5] add(pkg::String, env::String; channel::String, satisfied_skip_solve::Bool, args::Cmd) @ Conda ~/.julia/packages/Conda/zReqD/src/Conda.jl:343 [6] add (repeats 2 times) @ ~/.julia/packages/Conda/zReqD/src/Conda.jl:326 [inlined] [7] import_sklearn() @ ScikitLearn.Skcore ~/.julia/packages/ScikitLearn/sqLdT/src/Skcore.jl:208 [8] __init__() @ BiochemNetABC ~/.julia/packages/BiochemNetABC/Ip6oi/src/BiochemNetABC.jl:36 [9] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [10] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [11] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [12] _include_from_serialized @ ./loading.jl:1247 [inlined] [13] _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:2089 [14] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2602 [15] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2468 [16] macro expansion @ ./loading.jl:2396 [inlined] [17] macro expansion @ ./lock.jl:376 [inlined] [18] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2360 [19] require @ ./loading.jl:2336 [inlined] [20] eval_import_path @ ./module.jl:36 [inlined] [21] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [22] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [23] top-level scope @ none:1 [24] eval(m::Module, e::Any) @ Core ./boot.jl:489 [25] exec_options(opts::Base.JLOptions) @ Base ./client.jl:286 [26] _start() @ Base ./client.jl:553 during initialization of module BiochemNetABC Loading failed after 38.33s 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 BiochemNetABC'`, 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:309 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [7] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:184 PkgEval failed after 248.18s: there were unidentified errors