Package evaluation to test LearningToOptimize on Julia 1.14.0-DEV.3155 (07edee4e4c*) started at 2026-09-11T04:48:00.524 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.03s ################################################################################ # Installation # Installing LearningToOptimize... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [e1d8bfa7] + LearningToOptimize v1.0.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [69666777] + Arrow v2.8.1 [31f734f8] + ArrowTypes v2.3.0 [a9b6321e] + Atomix v1.2.1 [ab4f0b2a] + BFloat16s v0.6.1 [fbb218c0] + BSON v0.3.9 [c3b6d118] + BitIntegers v0.3.7 [fa961155] + CEnum v0.5.0 [336ed68f] + CSV v0.10.17 [324d7699] + CategoricalArrays v1.1.1 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [0b6fb165] + ChunkCodecCore v1.0.2 [4c0bbee4] + ChunkCodecLibZlib v1.1.0 [55437552] + ChunkCodecLibZstd v1.0.0 [da1fd8a2] + CodeTracking v3.0.2 [523fee87] + CodecBzip2 v0.8.5 [5ba52731] + CodecLz4 v0.4.6 [944b1d66] + CodecZlib v0.7.9 [6b39b394] + CodecZstd v0.8.7 [3da002f7] + ColorTypes v0.12.1 [38540f10] + CommonSolve v0.2.14 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [f0e56b4a] + ConcurrentUtilities v2.6.0 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.2.0 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.2 [864edb3b] + DataStructures v0.19.6 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [31c24e10] + Distributions v0.25.131 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.7 [e2ba6199] + ExprTools v0.1.11 [5789e2e9] + FileIO v1.20.0 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.17.0 ⌅ [53c48c17] + FixedPointNumbers v0.8.6 ⌅ [587475ba] + Flux v0.14.25 [f6369f11] + ForwardDiff v1.4.5 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.5.14 [46192b85] + GPUArraysCore v0.2.0 ⌃ [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 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.6.6 [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 [e1d8bfa7] + LearningToOptimize v1.0.0 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.1.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 ⌃ [094fc8d1] + MLJFlux v0.6.7 [e80e1ace] + MLJModelInterface v1.12.1 [f1d291b0] + MLUtils v0.4.13 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.53.0 [dbeba491] + Metalhead v0.9.6 [e1d29d7a] + Missings v1.2.0 [78c3b35d] + Mocking v0.8.1 [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 v2.0.1 [90014a1f] + PDMats v0.11.41 ⌅ [0ce4ce61] + ParametricOptInterface v0.8.2 ⌅ [69de0a69] + Parsers v2.8.8 [570af359] + PartialFunctions v1.2.1 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [08abe8d2] + PrettyTables v3.4.8 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v3.0.8 [30f210dd] + ScientificTypesBase v3.1.0 [7e506255] + ScopedValues v1.6.2 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.10 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.6 [a2af1166] + SortingAlgorithms v1.2.3 [dc90abb0] + SparseInverseSubset v0.1.3 [276daf66] + SpecialFunctions v2.9.0 [90137ffa] + StaticArrays v1.9.20 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.5 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 [4c63d2b9] + StatsFuns v2.2.1 ⌅ [892a3eda] + StringManipulation v0.5.0 ⌅ [354b36f9] + StringViews v1.3.7 [09ab397b] + StructArrays v0.7.3 [ec057cc2] + StructUtils v2.8.5 [dc5dba14] + TZJData v1.6.0+2025c [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [f269a46b] + TimeZones v1.22.2 [3bb67fe8] + TranscodingStreams v0.11.3 [013be700] + UnsafeAtomics v0.3.2 [ea10d353] + WeakRefStrings v1.4.3 [76eceee3] + WorkerUtilities v1.6.1 ⌅ [e88e6eb3] + Zygote v0.6.77 [700de1a5] + ZygoteRules v0.2.8 [6e34b625] + Bzip2_jll v1.0.9+0 [dad2f222] + LLVMExtra_jll v0.0.47+0 [5ced341a] + Lz4_jll v1.10.1+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 [0dad84c5] + ArgTools v1.2.0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.12.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [deac9b47] + LibCURL_jll v8.22.0+0 [e37daf67] + LibGit2_jll v1.9.7+0 [29816b5a] + LibSSH2_jll v1.11.104+0 [14a3606d] + MozillaCACerts_jll v2026.8.13 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.8+0 [458c3c95] + OpenSSL_jll v3.5.8+0 [efcefdf7] + PCRE2_jll v10.48.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.70.0+0 [3f19e933] + p7zip_jll v17.8.2+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 6.42s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 9.6 s ✓ ParametricOptInterface 138.7 s ✓ Clarabel 15.6 s ✓ InfrastructureModels 22.0 s ✓ MLJFlux 95.3 s ✓ PowerModels 38.0 s ✓ LearningToOptimize 13.5 s ✓ PGLib 7 dependencies successfully precompiled in 337 seconds. 332 already precompiled. Precompilation completed after 352.13s ################################################################################ # Testing # Testing LearningToOptimize Status `/tmp/jl_xzpH7B/Project.toml` [69666777] Arrow v2.8.1 [336ed68f] CSV v0.10.17 [61c947e1] Clarabel v0.11.1 [a93c6f00] DataFrames v1.8.2 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.131 ⌅ [587475ba] Flux v0.14.25 [87dc4568] HiGHS v1.25.2 [b6b21f68] Ipopt v1.16.0 [4076af6c] JuMP v1.31.2 [e1d8bfa7] LearningToOptimize v1.0.0 [add582a8] MLJ v0.23.3 ⌃ [094fc8d1] MLJFlux v0.6.7 [872c559c] NNlib v0.9.45 ⌅ [3bd65402] Optimisers v0.3.4 [07a8691f] PGLib v0.2.2 ⌅ [0ce4ce61] ParametricOptInterface v0.8.2 [c36e90e8] PowerModels v0.21.6 [10745b16] Statistics v1.11.5 ⌅ [e88e6eb3] Zygote v0.6.77 [37e2e46d] LinearAlgebra v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 Status `/tmp/jl_xzpH7B/Manifest.toml` [47edcb42] ADTypes v1.24.0 [14f7f29c] AMD v0.5.4 [da404889] ARFFFiles v1.6.2 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.30.1 [69666777] Arrow v2.8.1 [31f734f8] ArrowTypes v2.3.0 [a9b6321e] Atomix v1.2.1 [ab4f0b2a] BFloat16s v0.6.1 [fbb218c0] BSON v0.3.9 [50ba71b6] BitBasis v0.9.10 [c3b6d118] BitIntegers v0.3.7 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.17 [49dc2e85] Calculus v0.5.2 [324d7699] CategoricalArrays v1.1.1 [af321ab8] CategoricalDistributions v0.2.2 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.1 [0b6fb165] ChunkCodecCore v1.0.2 [4c0bbee4] ChunkCodecLibZlib v1.1.0 [55437552] ChunkCodecLibZstd v1.0.0 [61c947e1] Clarabel v0.11.1 [da1fd8a2] CodeTracking v3.0.2 [523fee87] CodecBzip2 v0.8.5 [5ba52731] CodecLz4 v0.4.6 [944b1d66] CodecZlib v0.7.9 [6b39b394] CodecZstd v0.8.7 [3da002f7] ColorTypes v0.12.1 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.14 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.6.0 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.2.0 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 [864edb3b] DataStructures v0.19.6 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [a0c0ee7d] DifferentiationInterface v0.7.21 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.131 [ffbed154] DocStringExtensions v0.9.5 [792122b4] EarlyStopping v0.3.0 [4e289a0a] EnumX v1.0.7 [e2ba6199] ExprTools v0.1.11 [33837fe5] FeatureSelection v0.2.6 [5789e2e9] FileIO v1.20.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.17.0 [6a86dc24] FiniteDiff v2.33.0 ⌅ [53c48c17] FixedPointNumbers v0.8.6 ⌅ [587475ba] Flux v0.14.25 [f6369f11] ForwardDiff v1.4.5 ⌅ [d9f16b24] Functors v0.4.12 [0c68f7d7] GPUArrays v11.5.14 [46192b85] GPUArraysCore v0.2.0 ⌃ [a0844989] Gamma v1.1.0 ⌅ [14197337] GenericLinearAlgebra v0.3.19 [cd3eb016] HTTP v2.6.7 [076d061b] HashArrayMappedTries v0.2.0 [87dc4568] HiGHS v1.25.2 [34004b35] HypergeometricFunctions v0.3.30 [7869d1d1] IRTools v0.4.20 [2030c09a] InfrastructureModels v0.7.9 ⌅ [842dd82b] InlineStrings v1.4.6 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [b6b21f68] Ipopt v1.16.0 [92d709cd] IrrationalConstants v0.2.6 [b3c1a2ee] IterationControl v0.5.4 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.6.6 [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 [a5e1c1ea] LatinHypercubeSampling v1.9.0 [92ad9a40] LearnAPI v2.0.1 [e1d8bfa7] LearningToOptimize v1.0.0 ⌃ [d3d80556] LineSearches v7.5.1 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.1.0 ⌃ [7e8f7934] MLDataDevices v1.5.3 [add582a8] MLJ v0.23.3 [45f359ea] MLJBalancing v0.1.6 [a7f614a8] MLJBase v1.14.2 [50ed68f4] 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`. │ caller = Distributions.MvNormal(μ::Vector{Float64}, σ::Float64) at mvnormal.jl:206 └ @ Distributions ~/.julia/packages/Distributions/RTt4y/src/multivariate/mvnormal.jl:206 ┌ Warning: `MvNormal(μ::AbstractVector{<:Real}, σ::Real)` is deprecated, use `MvNormal(μ, σ ^ 2 * I)` instead. │ caller = ip:0x0 └ @ Core :-1 ┌ Warning: No functional GPU backend found! Defaulting to CPU. │ │ 1. If no GPU is available, nothing needs to be done. │ 2. If GPU is available, load the corresponding trigger package. │ a. `CUDA.jl` and `cuDNN.jl` (or just `LuxCUDA.jl`) for NVIDIA CUDA Support. │ b. `AMDGPU.jl` for AMD GPU ROCM Support. │ c. `Metal.jl` for Apple Metal GPU Support. (Experimental) │ d. `oneAPI.jl` for Intel oneAPI GPU Support. (Experimental) └ @ MLDataDevices.Internal ~/.julia/packages/MLDataDevices/hoL1S/src/internal.jl:94 LearningToOptimize.jl: Error During Test at /home/pkgeval/.julia/packages/LearningToOptimize/zmKk4/test/runtests.jl:33 Got exception outside of a @test UndefVarError: `gradient` not defined in `LearningToOptimize` Hint: It looks like two or more modules export different bindings with this name, resulting in ambiguity. Try explicitly importing it from a particular module, or qualifying the name with the module it should come from. Hint: a global variable of this name also exists in DifferentiationInterface. Hint: a global variable of this name also exists in NLSolversBase. Hint: a global variable of this name also exists in JuMP. Hint: a global variable of this name also exists in Zygote. - Also exported by Flux. Stacktrace: [1] train!(model::FullyConnected, loss::typeof(Flux.Losses.mse), opt_state::@NamedTuple{layers::@NamedTuple{connection::Tuple{}, layers::Tuple{@NamedTuple{weight::Optimisers.Leaf{Optimisers.Adam, Tuple{Matrix{Float32}, Matrix{Float32}, Tuple{Float32, Float32}}}, bias::Optimisers.Leaf{Optimisers.Adam, Tuple{Vector{Float32}, Vector{Float32}, Tuple{Float32, Float32}}}, σ::Tuple{}}, @NamedTuple{weight::Optimisers.Leaf{Optimisers.Adam, Tuple{Matrix{Float32}, Matrix{Float32}, Tuple{Float32, Float32}}}, bias::Optimisers.Leaf{Optimisers.Adam, Tuple{Vector{Float32}, Vector{Float32}, Tuple{Float32, Float32}}}, σ::Tuple{}}, @NamedTuple{weight::Optimisers.Leaf{Optimisers.Adam, Tuple{Matrix{Float32}, Matrix{Float32}, Tuple{Float32, Float32}}}, bias::Optimisers.Leaf{Optimisers.Adam, Tuple{Vector{Float32}, Vector{Float32}, Tuple{Float32, Float32}}}, σ::Tuple{}}}}, pass_through::Vector{@NamedTuple{weight::Optimisers.Leaf{Optimisers.Adam, Tuple{Matrix{Float32}, Matrix{Float32}, Tuple{Float32, Float32}}}, bias::Optimisers.Leaf{Optimisers.Adam, Tuple{Vector{Float32}, Vector{Float32}, Tuple{Float32, Float32}}}, σ::Tuple{}}}}, X::Matrix{Float64}, Y::Matrix{Float64}; _batchsize::Int64, shuffle::Bool) @ LearningToOptimize ~/.julia/packages/LearningToOptimize/zmKk4/src/FullyConnected.jl:163 [2] train!(model::FullyConnected, loss::Function, opt_state::@NamedTuple{layers::@NamedTuple{connection::Tuple{}, layers::Tuple{@NamedTuple{weight::Optimisers.Leaf{Optimisers.Adam, Tuple{Matrix{Float32}, Matrix{Float32}, Tuple{Float32, Float32}}}, bias::Optimisers.Leaf{Optimisers.Adam, Tuple{Vector{Float32}, Vector{Float32}, Tuple{Float32, Float32}}}, σ::Tuple{}}, @NamedTuple{weight::Optimisers.Leaf{Optimisers.Adam, Tuple{Matrix{Float32}, Matrix{Float32}, Tuple{Float32, Float32}}}, bias::Optimisers.Leaf{Optimisers.Adam, Tuple{Vector{Float32}, Vector{Float32}, Tuple{Float32, Float32}}}, σ::Tuple{}}, @NamedTuple{weight::Optimisers.Leaf{Optimisers.Adam, Tuple{Matrix{Float32}, Matrix{Float32}, Tuple{Float32, Float32}}}, bias::Optimisers.Leaf{Optimisers.Adam, Tuple{Vector{Float32}, Vector{Float32}, Tuple{Float32, Float32}}}, σ::Tuple{}}}}, pass_through::Vector{@NamedTuple{weight::Optimisers.Leaf{Optimisers.Adam, Tuple{Matrix{Float32}, Matrix{Float32}, Tuple{Float32, Float32}}}, bias::Optimisers.Leaf{Optimisers.Adam, Tuple{Vector{Float32}, Vector{Float32}, Tuple{Float32, Float32}}}, σ::Tuple{}}}}, X::Matrix{Float64}, Y::Matrix{Float64}) @ LearningToOptimize ~/.julia/packages/LearningToOptimize/zmKk4/src/FullyConnected.jl:155 [3] test_fully_connected(; num_samples::Int64, num_features::Int64) @ Main ~/.julia/packages/LearningToOptimize/zmKk4/test/test_flux_forecaster.jl:52 [4] test_fully_connected() @ Main ~/.julia/packages/LearningToOptimize/zmKk4/test/test_flux_forecaster.jl:43 [5] top-level scope @ ~/.julia/packages/LearningToOptimize/zmKk4/test/runtests.jl:34 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2252 [inlined] [7] macro expansion @ ~/.julia/packages/LearningToOptimize/zmKk4/test/runtests.jl:39 [inlined] Test Summary: | Pass Error Total Time LearningToOptimize.jl | 32 1 33 2m15.2s RNG of the outermost testset: Random.Xoshiro(0x72ac24d7dd48063d, 0x5bf5400fcdf74925, 0x13bdcfd00cec005b, 0x8994e42c6d9f1d87, 0xac53314e8723b224) ERROR: LoadError: Some tests did not pass: 32 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/LearningToOptimize/zmKk4/test/runtests.jl:33 Testing failed after 247.08s ERROR: LoadError: Package LearningToOptimize 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 670.88s: package tests unexpectedly errored