Package evaluation to test MonotoneSplines on Julia 1.14.0-DEV.3155 (07edee4e4c*) started at 2026-09-11T05:47:40.819 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.11s ################################################################################ # Installation # Installing MonotoneSplines... Resolving package versions... Installed MonotoneSplines ─ v0.1.3 Installed Conda ─────────── v1.10.3 Installed RCall ─────────── v0.14.13 Updating `~/.julia/environments/v1.14/Project.toml` [92812004] + MonotoneSplines v0.1.3 Updating `~/.julia/environments/v1.14/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [79e6a3ab] + Adapt v4.7.0 [a9b6321e] + Atomix v1.2.1 [ab4f0b2a] + BFloat16s v0.6.1 [fbb218c0] + BSON v0.3.9 [fa961155] + CEnum v0.5.0 [324d7699] + CategoricalArrays v1.1.1 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [da1fd8a2] + CodeTracking v3.0.2 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.9 [35d6a980] + ColorSchemes v3.31.0 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [8f4d0f93] + Conda v1.10.3 [187b0558] + ConstructionBase v1.6.0 [d38c429a] + Contour v0.6.3 [a8cc5b0e] + Crayons v4.2.0 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.2 ⌅ 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Building Conda ──────────→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building RCall ──────────→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/a2be505c76807bf9ce4220cde4e1b464c726eb2f/build.log` Building MonotoneSplines → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b4838ebcbbbcf7b2af0d810b3a2203f286106b24/build.log` Installation completed after 99.5s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 14.0 s ✓ RCall 11.0 s ✓ ECOS 58.8 s ✓ MonotoneSplines 3 dependencies successfully precompiled in 85 seconds. 292 already precompiled. Precompilation completed after 125.26s ################################################################################ # Testing # Testing MonotoneSplines Status `/tmp/jl_2G2JXh/Project.toml` [fbb218c0] BSON v0.3.9 [8f4d0f93] Conda v1.10.3 [e2685f51] ECOS v1.1.3 ⌅ [587475ba] Flux v0.14.25 [4076af6c] JuMP v1.31.2 [92812004] MonotoneSplines v0.1.3 [91a5bcdd] Plots v1.41.7 [92933f4c] ProgressMeter v1.11.0 [438e738f] PyCall v1.96.4 [6f49c342] RCall v0.14.13 ⌅ [2913bbd2] StatsBase v0.33.21 ⌅ [e88e6eb3] Zygote v0.6.77 [37e2e46d] LinearAlgebra v1.14.0 [9a3f8284] Random v1.11.0 [9e88b42a] Serialization v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_2G2JXh/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [79e6a3ab] Adapt v4.7.0 [a9b6321e] Atomix v1.2.1 [ab4f0b2a] BFloat16s v0.6.1 [fbb218c0] BSON v0.3.9 [fa961155] CEnum v0.5.0 [324d7699] CategoricalArrays v1.1.1 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.1 [da1fd8a2] CodeTracking v3.0.2 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.9 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [187b0558] ConstructionBase v1.6.0 [d38c429a] Contour v0.6.3 [a8cc5b0e] Crayons v4.2.0 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [ffbed154] DocStringExtensions v0.9.5 [e2685f51] ECOS v1.1.3 [c87230d0] FFMPEG v0.4.5 [1a297f60] FillArrays v1.17.0 ⌅ [53c48c17] FixedPointNumbers v0.8.6 ⌅ [587475ba] Flux v0.14.25 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.4.5 ⌅ [d9f16b24] Functors v0.4.12 [0c68f7d7] GPUArrays v11.5.14 [46192b85] GPUArraysCore v0.2.0 [28b8d3ca] GR v0.73.27 ⌃ [a0844989] Gamma v1.1.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.30 [7869d1d1] IRTools v0.4.20 ⌅ [842dd82b] InlineStrings v1.4.6 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [1019f520] JLFzf v0.1.11 [692b3bcd] JLLWrappers v1.8.0 [682c06a0] JSON v1.8.0 [4076af6c] JuMP v1.31.2 [63c18a36] KernelAbstractions v0.9.42 [929cbde3] LLVM v9.13.1 [b964fa9f] LaTeXStrings v1.4.1 [23fbe1c1] Latexify v0.16.12 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.1.0 ⌃ [7e8f7934] MLDataDevices v1.5.3 [f1d291b0] MLUtils v0.4.13 [1914dd2f] MacroTools v0.5.16 [b8f27783] MathOptInterface v1.53.0 [442fdcdd] Measures v0.3.3 [e1d29d7a] Missings v1.2.0 [92812004] MonotoneSplines v0.1.3 [d8a4904e] MutableArithmetics v1.8.0 [872c559c] NNlib v0.9.45 [77ba4419] NaNMath v1.1.4 [0b1bfda6] OneHotArrays v0.2.11 ⌅ [3bd65402] Optimisers v0.3.4 ⌅ [bac558e1] OrderedCollections v1.8.2 [69de0a69] Parsers v3.0.0 [ccf2f8ad] PlotThemes v3.3.0 [995b91a9] PlotUtils v1.4.4 [91a5bcdd] Plots v1.41.7 [2dfb63ee] 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = tryEval(expr::Ptr{RCall.LangSxp}, env::Ptr{RCall.EnvSxp}, status::Base.RefValue{Int32}) at eval.jl:92 [inlined] └ @ RCall ~/.julia/packages/RCall/fTLHT/src/eval.jl:92 ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = tryEval(expr::Ptr{RCall.LangSxp}, env::Ptr{RCall.EnvSxp}, status::Base.RefValue{Int32}) at eval.jl:92 [inlined] └ @ RCall ~/.julia/packages/RCall/fTLHT/src/eval.jl:92 ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = pyeval_(s::String, globals::PyCall.PyDict{String, PyCall.PyObject, true}, locals::PyCall.PyDict{String, PyCall.PyObject, true}, input_type::Int64, fname::String) at pyeval.jl:37 └ @ PyCall ~/.julia/packages/PyCall/1gn3u/src/pyeval.jl:37 ERROR: LoadError: PyError (PyImport_ImportModule The Python package boot could not be imported by pyimport. Usually this means that you did not install boot 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 boot module, you can use `pyimport_conda("boot", PKG)`, where PKG is the Anaconda package that contains the module boot, 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 'torch'") ┌ Warning: `disable_sigint` no longer defers Ctrl-C: SIGINT is delivered as a cancellation of the current ^C scope and observed at cancellation points regardless of the sigatomic region this establishes. Shield a region from cancellation by scoping `Base.CANCEL_TOKEN => nothing` over it instead. │ caller = __pycall!(ret::PyCall.PyObject, pyargsptr::Ptr{PyCall.PyObject_struct}, o::PyCall.PyObject, kw::Ptr{Nothing}) at pyfncall.jl:42 [inlined] └ @ PyCall ~/.julia/packages/PyCall/1gn3u/src/pyfncall.jl:42 File "/home/pkgeval/.julia/packages/MonotoneSplines/pnoJO/src/boot.py", line 1, in import torch Stacktrace: [1] pyimport(name::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:558 [2] top-level scope @ ~/.julia/packages/MonotoneSplines/pnoJO/src/MonotoneSplines.jl:28 [3] eval(m::Module, e::Any) @ Core boot.jl:618 [4] _runtime_init() @ MonotoneSplines ~/.julia/packages/MonotoneSplines/pnoJO/src/MonotoneSplines.jl:22 [5] __init_pytorch__() @ MonotoneSplines ~/.julia/packages/MonotoneSplines/pnoJO/src/MonotoneSplines.jl:15 [6] top-level scope @ ~/.julia/packages/MonotoneSplines/pnoJO/test/runtests.jl:4 [7] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [8] top-level scope @ none:6 in expression starting at /home/pkgeval/.julia/packages/MonotoneSplines/pnoJO/test/runtests.jl:4 Testing failed after 86.12s ERROR: LoadError: Package MonotoneSplines 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:3298 [3] 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:587 [4] 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 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 429.65s: package tests unexpectedly errored