Package evaluation to test SoleModels on Julia 1.12.4 (422f456051*) started at 2026-01-29T15:26:52.303


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.12`

Set-up completed after 7.51s


################################################################################
# Installation
#

Installing SoleModels...
   Resolving package versions...
    Updating `~/.julia/environments/v1.12/Project.toml`
  [4249d9c7] + SoleModels v0.10.6
    Updating `~/.julia/environments/v1.12/Manifest.toml`
  [1520ce14] + AbstractTrees v0.4.5
  [79e6a3ab] + Adapt v4.4.0
  [66dad0bd] + AliasTables v1.1.3
  [ec485272] + ArnoldiMethod v0.4.0
  [4fba245c] + ArrayInterface v7.22.0
  [d1d4a3ce] + BitFlags v0.1.9
  [336ed68f] + CSV v0.10.15
  [acdeb78f] + Catch22 v0.7.0
  [324d7699] + CategoricalArrays v1.0.2
  [da1fd8a2] + CodeTracking v3.0.0
  [944b1d66] + CodecZlib v0.7.8
  [3da002f7] + ColorTypes v0.12.1
  [861a8166] + Combinatorics v1.1.0
  [34da2185] + Compat v4.18.1
  [807dbc54] + Compiler v0.1.1
  [f0e56b4a] + ConcurrentUtilities v2.5.0
  [187b0558] + ConstructionBase v1.6.0
  [a8cc5b0e] + Crayons v4.1.1
  [9a962f9c] + DataAPI v1.16.0
  [a93c6f00] + DataFrames v1.8.1
⌅ [864edb3b] + DataStructures v0.18.22
  [e2d170a0] + DataValueInterfaces v1.0.0
  [e7dc6d0d] + DataValues v0.4.13
  [8bb1440f] + DelimitedFiles v1.9.1
  [85a47980] + Dictionaries v0.4.6
  [0703355e] + DimensionalData v0.29.25
  [6e83dbb3] + Discretizers v3.2.4
  [31c24e10] + Distributions v0.25.123
  [ffbed154] + DocStringExtensions v0.9.5
  [460bff9d] + ExceptionUnwrapping v0.1.11
  [411431e0] + Extents v0.1.6
  [48062228] + FilePathsBase v0.9.24
  [1a297f60] + FillArrays v1.16.0
  [53c48c17] + FixedPointNumbers v0.8.5
  [069b7b12] + FunctionWrappers v1.1.3
⌃ [86223c79] + Graphs v1.13.1
  [cd3eb016] + HTTP v1.10.19
  [34004b35] + HypergeometricFunctions v0.3.28
  [313cdc1a] + Indexing v1.1.1
  [d25df0c9] + Inflate v0.1.5
  [842dd82b] + InlineStrings v1.4.5
  [85a1e053] + Interfaces v0.3.2
  [8197267c] + IntervalSets v0.7.13
  [41ab1584] + InvertedIndices v1.3.1
  [92d709cd] + IrrationalConstants v0.2.6
  [c8e1da08] + IterTools v1.10.0
  [1c8ee90f] + IterableTables v1.0.0
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.1
  [682c06a0] + JSON v1.4.0
  [aa1ae85d] + JuliaInterpreter v0.10.9
  [b964fa9f] + LaTeXStrings v1.4.0
  [50d2b5c4] + Lazy v0.15.1
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.2.0
  [6f1432cf] + LoweredCodeUtils v3.5.0
  [e80e1ace] + MLJModelInterface v1.12.1
  [1914dd2f] + MacroTools v0.5.16
  [739be429] + MbedTLS v1.1.9
  [e1d29d7a] + Missings v1.2.0
  [8cc5100c] + MultiData v0.1.4
  [4d8831e6] + OpenSSL v1.6.1
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.37
  [69de0a69] + Parsers v2.8.3
  [2dfb63ee] + PooledArrays v1.4.3
  [aea7be01] + PrecompileTools v1.3.3
  [21216c6a] + Preferences v1.5.1
  [08abe8d2] + PrettyTables v3.1.2
  [33c8b6b6] + ProgressLogging v0.1.6
  [92933f4c] + ProgressMeter v1.11.0
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [1a8c2f83] + Query v1.0.0
  [2aef5ad7] + QueryOperators v0.9.3
  [3cdcf5f2] + RecipesBase v1.3.4
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [295af30f] + Revise v3.13.2
  [79098fc4] + Rmath v0.9.0
  [321657f4] + ScientificTypes v3.1.2
  [30f210dd] + ScientificTypesBase v3.0.0
  [91c51154] + SentinelArrays v1.4.9
  [777ac1f9] + SimpleBufferStream v1.2.0
  [699a6c99] + SimpleTraits v0.9.5
  [4475fa32] + SoleBase v0.13.4
  [123f1ae1] + SoleData v0.16.7
  [b002da8f] + SoleLogics v0.13.7
  [4249d9c7] + SoleModels v0.10.6
  [a2af1166] + SortingAlgorithms v1.2.2
  [276daf66] + SpecialFunctions v2.6.1
  [90137ffa] + StaticArrays v1.9.16
  [1e83bf80] + StaticArraysCore v1.4.4
  [64bff920] + StatisticalTraits v3.5.0
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.8.0
  [2913bbd2] + StatsBase v0.34.10
  [4c63d2b9] + StatsFuns v1.5.2
  [892a3eda] + StringManipulation v0.4.2
  [ec057cc2] + StructUtils v2.6.2
  [5e66a065] + TableShowUtils v0.2.7
  [3783bdb8] + TableTraits v1.0.1
  [382cd787] + TableTraitsUtils v1.0.2
  [bd369af6] + Tables v1.12.1
  [4239201d] + ThreadSafeDicts v0.1.6
  [f3112013] + TimeseriesFeatures v0.6.1
  [3bb67fe8] + TranscodingStreams v0.11.3
  [5c2747f8] + URIs v1.6.1
  [2fbcfb34] + UniqueVectors v1.2.0
  [ea10d353] + WeakRefStrings v1.4.2
  [76eceee3] + WorkerUtilities v1.6.1
  [a5390f91] + ZipFile v0.10.1
  [c8ffd9c3] + MbedTLS_jll v2.28.1010+0
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [8a07c0c5] + catch22_jll v0.5.0+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
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] + LazyArtifacts v1.11.0
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2 v1.11.0
  [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
  [44cfe95a] + Pkg v1.12.1
  [de0858da] + Printf v1.11.0
  [3fa0cd96] + REPL v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [1a1011a3] + SharedArrays v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.12.0
  [f489334b] + StyledStrings v1.11.0
  [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 v1.3.0+1
  [deac9b47] + LibCURL_jll v8.15.0+0
  [e37daf67] + LibGit2_jll v1.9.0+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.11.4
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.7+0
  [458c3c95] + OpenSSL_jll v3.5.4+0
  [bea87d4a] + SuiteSparse_jll v7.8.3+2
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.15.0+0
  [8e850ede] + nghttp2_jll v1.64.0+1
  [3f19e933] + p7zip_jll v17.7.0+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 6.02s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/h9a3r/src/julia-1.12/activate_set.jl:78
Precompiling package dependencies...
Precompiling packages...
 112130.9 ms  ✓ MLJTransforms
  41238.9 ms  ✓ MLJModels
 127605.3 ms  ✓ MLJEnsembles
 260202.6 ms  ✓ SoleData
  17699.5 ms  ✓ MLJBalancing
  18261.2 ms  ✓ MLJIteration
  23660.2 ms  ✓ MLJFlow
  25830.8 ms  ✓ MLJTuning
 433771.9 ms  ✓ SoleModels
 413852.6 ms  ✓ MLJ
  38326.3 ms  ✓ SoleModels → XGBoostExt
  31527.1 ms  ✓ SoleModels → DecisionTreeExt
  12 dependencies successfully precompiled in 1561 seconds. 291 already precompiled.
  2 dependencies had output during precompilation:
┌ SoleData
│  WARNING: Constructor for type "IndexStyle" was extended in `FeatureSets` without explicit qualification or import.
│    NOTE: Assumed "IndexStyle" refers to `Base.IndexStyle`. This behavior is deprecated and may differ in future versions.`
│    NOTE: This behavior may have differed in Julia versions prior to 1.12.
│    Hint: If you intended to create a new generic function of the same name, use `function IndexStyle end`.
│    Hint: To silence the warning, qualify `IndexStyle` as `Base.IndexStyle` in the method signature or explicitly `import Base: IndexStyle`.
└  
┌ SoleModels
│  WARNING: Imported binding SoleLogics.synstruct was undeclared at import time during import to SoleModels.
│  WARNING: Constructor for type "IndexStyle" was extended in `FeatureSets` without explicit qualification or import.
│    NOTE: Assumed "IndexStyle" refers to `Base.IndexStyle`. This behavior is deprecated and may differ in future versions.`
│    NOTE: This behavior may have differed in Julia versions prior to 1.12.
│    Hint: If you intended to create a new generic function of the same name, use `function IndexStyle end`.
│    Hint: To silence the warning, qualify `IndexStyle` as `Base.IndexStyle` in the method signature or explicitly `import Base: IndexStyle`.
│  WARNING: Imported binding SoleBase._CLabel was undeclared at import time during import to SoleModels.
│  WARNING: Imported binding SoleBase._Label was undeclared at import time during import to SoleModels.
└  

Precompilation completed after 1572.72s


################################################################################
# Testing
#

     Testing SoleModels
        Test Could not use exact versions of packages in manifest. Re-resolving dependencies
    Updating `/tmp/jl_bZVS3p/Project.toml`
  [7806a523] + DecisionTree v0.12.4
  [033835bb] + JLD2 v0.6.3
  [add582a8] + MLJ v0.22.0
  [c6f25543] + MLJDecisionTreeInterface v0.4.3
  [54119dfa] + MLJXGBoostInterface v0.3.13
  [4249d9c7] + SoleModels v0.10.6
  [009559a3] + XGBoost v2.5.2
    Updating `/tmp/jl_bZVS3p/Manifest.toml`
  [da404889] + ARFFFiles v1.6.0
  [7d9f7c33] + Accessors v0.1.43
  [dce04be8] + ArgCheck v2.5.0
  [a9b6321e] + Atomix v1.1.2
  [198e06fe] + BangBang v0.4.7
  [9718e550] + Baselet v0.1.1
  [50ba71b6] + BitBasis v0.9.10
  [fa961155] + CEnum v0.5.0
  [af321ab8] + CategoricalDistributions v0.2.1
  [d360d2e6] + ChainRulesCore v1.26.0
  [0b6fb165] + ChunkCodecCore v1.0.1
  [4c0bbee4] + ChunkCodecLibZlib v1.0.0
  [55437552] + ChunkCodecLibZstd v1.0.0
  [a33af91c] + CompositionsBase v0.1.2
  [ed09eef8] + ComputationalResources v0.3.2
  [6add18c4] + ContextVariablesX v0.1.3
  [7806a523] + DecisionTree v0.12.4
  [244e2a9f] + DefineSingletons v0.1.2
  [b4f34e82] + Distances v0.10.12
  [792122b4] + EarlyStopping v0.3.0
  [cc61a311] + FLoops v0.2.2
  [b9860ae5] + FLoopsBase v0.1.1
  [33837fe5] + FeatureSelection v0.2.4
  [5789e2e9] + FileIO v1.17.1
  [46192b85] + GPUArraysCore v0.2.0
  [076d061b] + HashArrayMappedTries v0.2.0
  [22cec73e] + InitialValues v0.3.1
  [3587e190] + InverseFunctions v0.1.17
  [b3c1a2ee] + IterationControl v0.5.4
  [033835bb] + JLD2 v0.6.3
⌅ [682c06a0] ↓ JSON v1.4.0 ⇒ v0.21.4
  [0f8b85d8] + JSON3 v1.14.3
  [b14d175d] + JuliaVariables v0.2.4
  [63c18a36] + KernelAbstractions v0.9.39
  [a5e1c1ea] + LatinHypercubeSampling v1.9.0
  [92ad9a40] + LearnAPI v2.0.1
  [c2834f40] + MLCore v1.0.0
⌅ [64a0f543] + MLFlowClient v0.5.1
  [add582a8] + MLJ v0.22.0
  [45f359ea] + MLJBalancing v0.1.5
  [a7f614a8] + MLJBase v1.12.1
  [c6f25543] + MLJDecisionTreeInterface v0.4.3
  [50ed68f4] + MLJEnsembles v0.4.4
  [7b7b8358] + MLJFlow v0.5.0
  [614be32b] + MLJIteration v0.6.4
  [d491faf4] + MLJModels v0.18.3
  [23777cdb] + MLJTransforms v0.1.4
  [03970b2e] + MLJTuning v0.8.9
  [54119dfa] + MLJXGBoostInterface v0.3.13
  [d8e11817] + MLStyle v0.4.17
  [f1d291b0] + MLUtils v0.4.8
  [128add7d] + MicroCollections v0.2.0
  [872c559c] + NNlib v0.9.33
  [71a1bf82] + NameResolution v0.1.5
  [8b6db2d4] + OpenML v0.3.3
  [d96e819e] + Parameters v0.12.3
  [8162dcfd] + PrettyPrint v0.2.0
  [54e16d92] + PrettyPrinting v0.4.2
  [05181044] + RelocatableFolders v1.0.1
  [6e75b9c4] + ScikitLearnBase v0.5.0
  [7e506255] + ScopedValues v1.5.0
  [6c6a2e73] + Scratch v1.3.0
  [efcf1570] + Setfield v1.1.2
  [605ecd9f] + ShowCases v0.1.0
  [4249d9c7] + SoleModels v0.10.6
  [a0a7dd2c] + SparseMatricesCSR v0.6.9
  [171d559e] + SplittablesBase v0.1.15
  [860ef19b] + StableRNGs v1.0.4
  [a19d573c] + StatisticalMeasures v0.3.4
  [c062fc1d] + StatisticalMeasuresBase v0.1.3
  [856f2bd8] + StructTypes v1.11.0
  [ec057cc2] - StructUtils v2.6.2
  [ab02a1b2] + TableOperations v1.2.0
  [28d57a85] + Transducers v0.4.85
  [3a884ed6] + UnPack v1.0.2
  [013be700] + UnsafeAtomics v0.3.0
  [009559a3] + XGBoost v2.5.2
  [4ee394cb] + CUDA_Driver_jll v13.1.0+2
  [76a88914] + CUDA_Runtime_jll v0.20.1+0
  [1d63c593] + LLVMOpenMP_jll v18.1.8+0
  [bf13095a] + XGBoost_GPU_jll v2.1.5+0
  [a5c6f535] + XGBoost_jll v2.1.5+0
  [3161d3a3] + Zstd_jll v1.5.7+1
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`
        Test Successfully re-resolved
      Status `/tmp/jl_bZVS3p/Project.toml`
  [1520ce14] AbstractTrees v0.4.5
  [324d7699] CategoricalArrays v1.0.2
  [a93c6f00] DataFrames v1.8.1
  [7806a523] DecisionTree v0.12.4
  [1a297f60] FillArrays v1.16.0
  [069b7b12] FunctionWrappers v1.1.3
  [c8e1da08] IterTools v1.10.0
  [033835bb] JLD2 v0.6.3
  [50d2b5c4] Lazy v0.15.1
  [add582a8] MLJ v0.22.0
  [c6f25543] MLJDecisionTreeInterface v0.4.3
  [e80e1ace] MLJModelInterface v1.12.1
  [54119dfa] MLJXGBoostInterface v0.3.13
  [8cc5100c] MultiData v0.1.4
  [08abe8d2] PrettyTables v3.1.2
  [189a3867] Reexport v1.2.2
  [4475fa32] SoleBase v0.13.4
  [123f1ae1] SoleData v0.16.7
  [b002da8f] SoleLogics v0.13.7
  [4249d9c7] SoleModels v0.10.6
  [2913bbd2] StatsBase v0.34.10
  [4239201d] ThreadSafeDicts v0.1.6
  [009559a3] XGBoost v2.5.2
  [8ba89e20] Distributed v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [d6f4376e] Markdown v1.11.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_bZVS3p/Manifest.toml`
  [da404889] ARFFFiles v1.6.0
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.43
  [79e6a3ab] Adapt v4.4.0
  [66dad0bd] AliasTables v1.1.3
  [dce04be8] ArgCheck v2.5.0
  [ec485272] ArnoldiMethod v0.4.0
  [4fba245c] ArrayInterface v7.22.0
  [a9b6321e] Atomix v1.1.2
  [198e06fe] BangBang v0.4.7
  [9718e550] Baselet v0.1.1
  [50ba71b6] BitBasis v0.9.10
  [d1d4a3ce] BitFlags v0.1.9
  [fa961155] CEnum v0.5.0
  [336ed68f] CSV v0.10.15
  [acdeb78f] Catch22 v0.7.0
  [324d7699] CategoricalArrays v1.0.2
  [af321ab8] CategoricalDistributions v0.2.1
  [d360d2e6] ChainRulesCore v1.26.0
  [0b6fb165] ChunkCodecCore v1.0.1
  [4c0bbee4] ChunkCodecLibZlib v1.0.0
  [55437552] ChunkCodecLibZstd v1.0.0
  [da1fd8a2] CodeTracking v3.0.0
  [944b1d66] CodecZlib v0.7.8
  [3da002f7] ColorTypes v0.12.1
  [861a8166] Combinatorics v1.1.0
  [34da2185] Compat v4.18.1
  [807dbc54] Compiler v0.1.1
  [a33af91c] CompositionsBase v0.1.2
  [ed09eef8] ComputationalResources v0.3.2
  [f0e56b4a] ConcurrentUtilities v2.5.0
  [187b0558] ConstructionBase v1.6.0
  [6add18c4] ContextVariablesX v0.1.3
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [a93c6f00] DataFrames v1.8.1
⌅ [864edb3b] DataStructures v0.18.22
  [e2d170a0] DataValueInterfaces v1.0.0
  [e7dc6d0d] DataValues v0.4.13
  [7806a523] DecisionTree v0.12.4
  [244e2a9f] DefineSingletons v0.1.2
  [8bb1440f] DelimitedFiles v1.9.1
  [85a47980] Dictionaries v0.4.6
  [0703355e] DimensionalData v0.29.25
  [6e83dbb3] Discretizers v3.2.4
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.123
  [ffbed154] DocStringExtensions v0.9.5
  [792122b4] EarlyStopping v0.3.0
  [460bff9d] ExceptionUnwrapping v0.1.11
  [411431e0] Extents v0.1.6
  [cc61a311] FLoops v0.2.2
  [b9860ae5] FLoopsBase v0.1.1
  [33837fe5] FeatureSelection v0.2.4
  [5789e2e9] FileIO v1.17.1
  [48062228] FilePathsBase v0.9.24
  [1a297f60] FillArrays v1.16.0
  [53c48c17] FixedPointNumbers v0.8.5
  [069b7b12] FunctionWrappers v1.1.3
  [46192b85] GPUArraysCore v0.2.0
⌃ [86223c79] Graphs v1.13.1
  [cd3eb016] HTTP v1.10.19
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [313cdc1a] Indexing v1.1.1
  [d25df0c9] Inflate v0.1.5
  [22cec73e] InitialValues v0.3.1
  [842dd82b] InlineStrings v1.4.5
  [85a1e053] Interfaces v0.3.2
  [8197267c] IntervalSets v0.7.13
  [3587e190] InverseFunctions v0.1.17
  [41ab1584] InvertedIndices v1.3.1
  [92d709cd] IrrationalConstants v0.2.6
  [c8e1da08] IterTools v1.10.0
  [1c8ee90f] IterableTables v1.0.0
  [b3c1a2ee] IterationControl v0.5.4
  [82899510] IteratorInterfaceExtensions v1.0.0
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⌅ [682c06a0] JSON v0.21.4
  [0f8b85d8] JSON3 v1.14.3
  [aa1ae85d] JuliaInterpreter v0.10.9
  [b14d175d] JuliaVariables v0.2.4
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  [c2834f40] MLCore v1.0.0
⌅ [64a0f543] MLFlowClient v0.5.1
  [add582a8] MLJ v0.22.0
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  [a7f614a8] MLJBase v1.12.1
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  [50ed68f4] MLJEnsembles v0.4.4
  [7b7b8358] MLJFlow v0.5.0
  [614be32b] MLJIteration v0.6.4
  [e80e1ace] MLJModelInterface v1.12.1
  [d491faf4] MLJModels v0.18.3
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  [54119dfa] MLJXGBoostInterface v0.3.13
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  [8cc5100c] MultiData v0.1.4
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  [bac558e1] OrderedCollections v1.8.1
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  [d96e819e] Parameters v0.12.3
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  [2dfb63ee] PooledArrays v1.4.3
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.1
  [8162dcfd] PrettyPrint v0.2.0
  [54e16d92] PrettyPrinting v0.4.2
  [08abe8d2] PrettyTables v3.1.2
  [33c8b6b6] ProgressLogging v0.1.6
  [92933f4c] ProgressMeter v1.11.0
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  [1fd47b50] QuadGK v2.11.2
  [1a8c2f83] Query v1.0.0
  [2aef5ad7] QueryOperators v0.9.3
  [3cdcf5f2] RecipesBase v1.3.4
  [189a3867] Reexport v1.2.2
  [05181044] RelocatableFolders v1.0.1
  [ae029012] Requires v1.3.1
  [295af30f] Revise v3.13.2
  [79098fc4] Rmath v0.9.0
  [321657f4] ScientificTypes v3.1.2
  [30f210dd] ScientificTypesBase v3.0.0
  [6e75b9c4] ScikitLearnBase v0.5.0
  [7e506255] ScopedValues v1.5.0
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  [91c51154] SentinelArrays v1.4.9
  [efcf1570] Setfield v1.1.2
  [605ecd9f] ShowCases v0.1.0
  [777ac1f9] SimpleBufferStream v1.2.0
  [699a6c99] SimpleTraits v0.9.5
  [4475fa32] SoleBase v0.13.4
  [123f1ae1] SoleData v0.16.7
  [b002da8f] SoleLogics v0.13.7
  [4249d9c7] SoleModels v0.10.6
  [a2af1166] SortingAlgorithms v1.2.2
  [a0a7dd2c] SparseMatricesCSR v0.6.9
  [276daf66] SpecialFunctions v2.6.1
  [171d559e] SplittablesBase v0.1.15
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  [90137ffa] StaticArrays v1.9.16
  [1e83bf80] StaticArraysCore v1.4.4
  [a19d573c] StatisticalMeasures v0.3.4
  [c062fc1d] StatisticalMeasuresBase v0.1.3
  [64bff920] StatisticalTraits v3.5.0
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [892a3eda] StringManipulation v0.4.2
  [856f2bd8] StructTypes v1.11.0
  [ab02a1b2] TableOperations v1.2.0
  [5e66a065] TableShowUtils v0.2.7
  [3783bdb8] TableTraits v1.0.1
  [382cd787] TableTraitsUtils v1.0.2
  [bd369af6] Tables v1.12.1
  [4239201d] ThreadSafeDicts v0.1.6
  [f3112013] TimeseriesFeatures v0.6.1
  [3bb67fe8] TranscodingStreams v0.11.3
  [28d57a85] Transducers v0.4.85
  [5c2747f8] URIs v1.6.1
  [3a884ed6] UnPack v1.0.2
  [2fbcfb34] UniqueVectors v1.2.0
  [013be700] UnsafeAtomics v0.3.0
  [ea10d353] WeakRefStrings v1.4.2
  [76eceee3] WorkerUtilities v1.6.1
  [009559a3] XGBoost v2.5.2
  [a5390f91] ZipFile v0.10.1
  [4ee394cb] CUDA_Driver_jll v13.1.0+2
  [76a88914] CUDA_Runtime_jll v0.20.1+0
  [1d63c593] LLVMOpenMP_jll v18.1.8+0
  [c8ffd9c3] MbedTLS_jll v2.28.1010+0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [bf13095a] XGBoost_GPU_jll v2.1.5+0
  [a5c6f535] XGBoost_jll v2.1.5+0
  [3161d3a3] Zstd_jll v1.5.7+1
  [8a07c0c5] catch22_jll v0.5.0+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
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  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
  [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
  [44cfe95a] Pkg v1.12.1
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
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  [9e88b42a] Serialization v1.11.0
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  [2f01184e] SparseArrays v1.12.0
  [f489334b] StyledStrings v1.11.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
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  [8e850ede] nghttp2_jll v1.64.0+1
  [3f19e933] p7zip_jll v17.7.0+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.
     Testing Running tests...
Precompiling packages...
   7239.6 ms  ✓ BangBang → BangBangChainRulesCoreExt
   1515.8 ms  ✓ BangBang → BangBangTablesExt
   3644.3 ms  ✓ SplittablesBase
   3677.4 ms  ✓ MLCore
   2294.1 ms  ✓ BangBang → BangBangStaticArraysExt
  15385.9 ms  ✓ NNlib
  10277.8 ms  ✓ Transducers
   3225.4 ms  ✓ NNlib → NNlibSpecialFunctionsExt
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  16804.5 ms  ✓ FLoops
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  21614.6 ms  ✓ StatisticalMeasuresBase
  48825.3 ms  ✓ StatisticalMeasures
  21658.6 ms  ✓ MLJBase
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  12827.1 ms  ✓ StatisticalMeasures → ScientificTypesExt
  16535.7 ms  ✓ MLJBalancing
  13448.5 ms  ✓ MLJBase → DefaultMeasuresExt
  18109.3 ms  ✓ MLJIteration
  19455.1 ms  ✓ MLJFlow
  16763.3 ms  ✓ MLJTuning
  24126.4 ms  ✓ MLJ
  22 dependencies successfully precompiled in 330 seconds. 192 already precompiled.
Precompiling packages...
   7789.3 ms  ✓ BangBang → BangBangDataFramesExt
  1 dependency successfully precompiled in 9 seconds. 48 already precompiled.
Precompiling packages...
   7997.6 ms  ✓ Transducers → TransducersDataFramesExt
  1 dependency successfully precompiled in 9 seconds. 63 already precompiled.
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   1883.8 ms  ✓ DimensionalData → DimensionalDataChainRulesCoreExt
  1 dependency successfully precompiled in 2 seconds. 33 already precompiled.
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  50319.6 ms  ✓ JLD2
  1 dependency successfully precompiled in 51 seconds. 40 already precompiled.
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   5777.4 ms  ✓ JLD2 → UnPackExt
  1 dependency successfully precompiled in 6 seconds. 42 already precompiled.
Julia version: 1.12.4

##################################################
TEST: base.jl
TEST: test_tree.jl

##################################################
TEST: misc.jl

##################################################
TEST: parse.jl

##################################################
TEST: juliacon2024.jl
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔
[ Info: Training machine(DecisionTreeClassifier(max_depth = -1, …), …).
▣ ([petal_width] < 0.75)
├✔ setosa
└✘ ([petal_length] < 4.85)
  ├✔ ([petal_width] < 1.65)
  │ ├✔ versicolor
  │ └✘ ([sepal_width] < 3.1)
  │   ├✔ virginica
  │   └✘ versicolor
  └✘ ([petal_width] < 1.75)
    ├✔ ([petal_length] < 5.05)
    │ ├✔ ([sepal_length] < 6.15)
    │ │ ├✔ virginica
    │ │ └✘ versicolor
    │ └✘ virginica
    └✘ virginica
Rules: Error During Test at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:60
  Got exception outside of a @test
  LoadError: MethodError: no method matching _text__print_table(::PrettyTables.PrintingSpec; header::Vector{Any}, header_crayon::Crayons.Crayon)
  This method does not support all of the given keyword arguments (and may not support any).
  
  Closest candidates are:
    _text__print_table(::PrettyTables.PrintingSpec; alignment_anchor_fallback, alignment_anchor_regex, apply_alignment_regex_to_summary_rows, auto_wrap, column_label_width_based_on_first_line_only, display_size, equal_data_column_widths, fit_table_in_display_horizontally, fit_table_in_display_vertically, fixed_data_column_widths, highlighters, line_breaks, minimum_data_column_widths, maximum_data_column_widths, overwrite_display, reserved_display_lines, shrinkable_data_column, shrinkable_column_minimum_width, style, table_format) got unsupported keyword arguments "header", "header_crayon"
     @ PrettyTables ~/.julia/packages/PrettyTables/ePffU/src/backends/text/text_backend.jl:13
  
  Stacktrace:
    [1] kwerr(::@NamedTuple{header::Vector{Any}, header_crayon::Crayons.Crayon}, ::Function, ::PrettyTables.PrintingSpec)
      @ Base ./error.jl:175
    [2] _printing_backend(::Val{:text}, pspec::PrettyTables.PrintingSpec; is_stdout::Bool, kwargs::@Kwargs{header::Vector{Any}, header_crayon::Crayons.Crayon})
      @ PrettyTables ~/.julia/packages/PrettyTables/ePffU/src/main.jl:506
    [3] _pretty_table(io::IO, data::Any, backend::Symbol, compact_printing::Bool, limit_printing::Bool, show_omitted_cell_summary::Bool, renderer::Symbol, title::String, subtitle::String, stubhead_label::String, row_number_column_label::String, row_labels::Nothing, row_group_labels::Nothing, column_labels::Nothing, show_column_labels::Bool, summary_rows::Nothing, summary_row_labels::Nothing, footnotes::Nothing, source_notes::String, alignment::Symbol, column_label_alignment::Nothing, continuation_row_alignment::Nothing, footnote_alignment::Symbol, row_label_column_alignment::Symbol, row_group_label_alignment::Symbol, row_number_column_alignment::Symbol, source_note_alignment::Symbol, subtitle_alignment::Symbol, title_alignment::Symbol, cell_alignment::Nothing, formatters::Nothing, maximum_number_of_columns::Int64, maximum_number_of_rows::Int64, merge_column_label_cells::Symbol, new_line_at_end::Bool, show_first_column_label_only::Bool, show_row_number_column::Bool, vertical_crop_mode::Symbol; kwargs::@Kwargs{header::Vector{Any}, header_crayon::Crayons.Crayon})
      @ PrettyTables ~/.julia/packages/PrettyTables/ePffU/src/main.jl:478
    [4] _pretty_table
      @ ~/.julia/packages/PrettyTables/ePffU/src/main.jl:211 [inlined]
    [5] #pretty_table#9
      @ ~/.julia/packages/PrettyTables/ePffU/src/main.jl:93 [inlined]
    [6] pretty_table
      @ ~/.julia/packages/PrettyTables/ePffU/src/main.jl:36 [inlined]
    [7] pretty_table(data::Any; kwargs::@Kwargs{header::Vector{Any}, header_crayon::Crayons.Crayon})
      @ PrettyTables ~/.julia/packages/PrettyTables/ePffU/src/main.jl:11
    [8] metricstable(ms::Vector{ClassificationRule{String}}; metrics_kwargs::@NamedTuple{}, syntaxstring_kwargs::@NamedTuple{}, variable_names_map::Nothing, pretty_table_kwargs::@Kwargs{})
      @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/evaluate.jl:169
    [9] metricstable(ms::Vector{ClassificationRule{String}})
      @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/evaluate.jl:162
   [10] metricstable(m::SoleModels.DecisionTree{String}; normalize::Bool, min_lift::Nothing, min_confidence::Nothing, min_ncovered::Nothing, min_ninstances::Nothing, kwargs::@Kwargs{})
      @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/evaluate.jl:180
   [11] top-level scope
      @ ~/.julia/packages/SoleModels/bbNUZ/test/juliacon2024.jl:47
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:307
   [13] IncludeInto
      @ ./Base.jl:308 [inlined]
   [14] run_tests(list::Vector{String})
      @ Main ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:37
   [15] macro expansion
      @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:61 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:61 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:56
   [20] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:307
   [21] top-level scope
      @ none:6
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:283
   [24] _start()
      @ Base ./client.jl:550
  in expression starting at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/juliacon2024.jl:47

##################################################
TEST: linear-form-utilities.jl

##################################################
TEST: DecisionTreeExt/tree.jl
Training set size: (120, 4) - (120,)
Test set size: (30, 4) - (30,)
Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}
Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔
[ Info: Training machine(DecisionTreeClassifier(max_depth = -1, …), …).
▣ ([petal_width] < 0.75)
├✔ setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0)
└✘ ([petal_width] < 1.75)
  ├✔ ([petal_length] < 4.95)
  │ ├✔ ([petal_width] < 1.65)
  │ │ ├✔ versicolor : (ninstances = 40, ncovered = 40, confidence = 1.0, lift = 1.0)
  │ │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0)
  │ └✘ ([petal_width] < 1.55)
  │   ├✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)
  │   └✘ ([sepal_length] < 6.95)
  │     ├✔ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)
  │     └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0)
  └✘ ([petal_length] < 4.85)
    ├✔ ([sepal_width] < 3.1)
    │ ├✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)
    │ └✘ versicolor : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0)
    └✘ virginica : (ninstances = 30, ncovered = 30, confidence = 1.0, lift = 1.0)
▣ ([petal_width] < 0.75)  ↣  setosa : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65))  ↣  versicolor : (ninstances = 120, ncovered = 40, coverage = 0.33, confidence = 1.0, lift = 2.79, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65))  ↣  virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55))  ↣  virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] < 6.95))  ↣  versicolor : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 2.79, natoms = 5)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] ≥ 6.95))  ↣  virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 5)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1))  ↣  virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1))  ↣  versicolor : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 2.79, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85))  ↣  virginica : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.33, natoms = 3)
▣ ([petal_width] < 0.75)  ↣  setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65))  ↣  versicolor : (ninstances = 40, ncovered = 40, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 40, coverage = 0.33, confidence = 1.0, lift = 2.79, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65))  ↣  virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55))  ↣  virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] < 6.95))  ↣  versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 2.79, natoms = 5)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] ≥ 6.95))  ↣  virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 5)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1))  ↣  virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1))  ↣  versicolor : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 2.79, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85))  ↣  virginica : (ninstances = 30, ncovered = 30, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.33, natoms = 3)
▣ ([petal_width] < 0.75) : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1)
  └✔ setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0)

▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) : (ninstances = 120, ncovered = 40, coverage = 0.33, confidence = 1.0, lift = 2.79, natoms = 4)
  └✔ versicolor : (ninstances = 40, ncovered = 40, confidence = 1.0, lift = 1.0)

▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 4)
  └✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0)

▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55)) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4)
  └✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)

▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] < 6.95)) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 2.79, natoms = 5)
  └✔ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)

▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] ≥ 6.95)) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 5)
  └✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0)

▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1)) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4)
  └✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)

▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1)) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 2.79, natoms = 4)
  └✔ versicolor : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0)

▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85)) : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.33, natoms = 3)
  └✔ virginica : (ninstances = 30, ncovered = 30, confidence = 1.0, lift = 1.0)

▣ ([petal_width] < 0.75)  ↣  setosa : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65))  ↣  versicolor : (ninstances = 120, ncovered = 40, coverage = 0.33, confidence = 1.0, lift = 2.79, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65))  ↣  virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55))  ↣  virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] < 6.95))  ↣  versicolor : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 2.79, natoms = 5)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] ≥ 6.95))  ↣  virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 5)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1))  ↣  virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1))  ↣  versicolor : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 2.79, natoms = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85))  ↣  virginica : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.33, natoms = 3)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1))  ↣  versicolor : (ninstances = 120, ncovered = 1, coverage = 0.008333333333333333, confidence = 1.0, lift = 2.7906976744186047, natoms = 4, length = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65))  ↣  virginica : (ninstances = 120, ncovered = 1, coverage = 0.008333333333333333, confidence = 1.0, lift = 3.3333333333333335, natoms = 4, length = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] ≥ 6.95))  ↣  virginica : (ninstances = 120, ncovered = 1, coverage = 0.008333333333333333, confidence = 1.0, lift = 3.3333333333333335, natoms = 5, length = 5)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([sepal_length] < 6.95))  ↣  versicolor : (ninstances = 120, ncovered = 2, coverage = 0.016666666666666666, confidence = 1.0, lift = 2.7906976744186047, natoms = 5, length = 5)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55))  ↣  virginica : (ninstances = 120, ncovered = 2, coverage = 0.016666666666666666, confidence = 1.0, lift = 3.3333333333333335, natoms = 4, length = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1))  ↣  virginica : (ninstances = 120, ncovered = 2, coverage = 0.016666666666666666, confidence = 1.0, lift = 3.3333333333333335, natoms = 4, length = 4)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85))  ↣  virginica : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.3333333333333335, natoms = 3, length = 3)
▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65))  ↣  versicolor : (ninstances = 120, ncovered = 40, coverage = 0.3333333333333333, confidence = 1.0, lift = 2.7906976744186047, natoms = 4, length = 4)
▣ ([petal_width] < 0.75)  ↣  setosa : (ninstances = 120, ncovered = 41, coverage = 0.3416666666666667, confidence = 1.0, lift = 2.926829268292683, natoms = 1, length = 1)
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔
TEST: DecisionTreeExt/forest.jl
Training set size: (120, 4) - (120,)
Test set size: (30, 4) - (30,)
Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}
Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔
[ Info: Training machine(RandomForestClassifier(max_depth = 3, …), …).
▣ Ensemble{UInt32} of 10 models of type Branch{CategoricalValue{String, UInt32}}
├[1/10]┐ ([petal_width] < 0.7)
│      ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0)
│      └✘ ([petal_length] < 4.75)
│        ├✔ versicolor : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
│        └✘ ([petal_width] < 1.75)
│          ├✔ versicolor : (ninstances = 1, ncovered = 1, confidence = 0.0, lift = NaN)
│          └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
├[2/10]┐ ([petal_length] < 2.5)
│      ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0)
│      └✘ ([sepal_length] < 6.25)
│        ├✔ ([petal_length] < 4.85)
│        │ ├✔ versicolor : (ninstances = 4, ncovered = 4, confidence = 1.0, lift = 1.0)
│        │ └✘ virginica : (ninstances = 4, ncovered = 4, confidence = 1.0, lift = 1.0)
│        └✘ ([petal_width] < 1.75)
│          ├✔ versicolor : (ninstances = 3, ncovered = 3, confidence = 1.0, lift = 1.0)
│          └✘ virginica : (ninstances = 10, ncovered = 10, confidence = 1.0, lift = 1.0)
├[3/10]┐ ([petal_length] < 2.35)
│      ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0)
│      └✘ ([petal_length] < 4.95)
│        ├✔ ([sepal_width] < 2.95)
│        │ ├✔ versicolor : (ninstances = 4, ncovered = 4, confidence = 0.75, lift = 1.0)
│        │ └✘ versicolor : (ninstances = 4, ncovered = 4, confidence = 1.0, lift = 1.0)
│        └✘ ([petal_width] < 1.7000000000000002)
│          ├✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0)
│          └✘ virginica : (ninstances = 12, ncovered = 12, confidence = 1.0, lift = 1.0)
├[4/10]┐ ([petal_length] < 2.45)
│      ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0)
│      └✘ ([petal_length] < 4.75)
│        ├✔ versicolor : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
│        └✘ virginica : (ninstances = 14, ncovered = 14, confidence = 1.0, lift = 1.0)
├[5/10]┐ ([petal_width] < 0.75)
│      ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0)
│      └✘ ([petal_length] < 4.75)
│        ├✔ versicolor : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
│        └✘ ([petal_length] < 5.15)
│          ├✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)
│          └✘ virginica : (ninstances = 12, ncovered = 12, confidence = 1.0, lift = 1.0)
├[6/10]┐ ([petal_length] < 2.6)
│      ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0)
│      └✘ ([petal_width] < 1.75)
│        ├✔ ([sepal_length] < 6.25)
│        │ ├✔ versicolor : (ninstances = 5, ncovered = 5, confidence = 0.8, lift = 1.0)
│        │ └✘ versicolor : (ninstances = 3, ncovered = 3, confidence = 1.0, lift = 1.0)
│        └✘ ([sepal_length] < 5.95)
│          ├✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)
│          └✘ virginica : (ninstances = 11, ncovered = 11, confidence = 1.0, lift = 1.0)
├[7/10]┐ ([petal_width] < 0.7)
│      ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0)
│      └✘ ([petal_length] < 4.800000000000001)
│        ├✔ versicolor : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
│        └✘ ([sepal_length] < 6.85)
│          ├✔ virginica : (ninstances = 10, ncovered = 10, confidence = 1.0, lift = 1.0)
│          └✘ virginica : (ninstances = 4, ncovered = 4, confidence = 1.0, lift = 1.0)
├[8/10]┐ ([sepal_length] < 5.55)
│      ├✔ ([petal_width] < 0.7)
│      │ ├✔ setosa : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
│      │ └✘ versicolor : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN)
│      └✘ ([petal_width] < 1.75)
│        ├✔ versicolor : (ninstances = 10, ncovered = 10, confidence = 0.7, lift = 1.0)
│        └✘ ([sepal_width] < 3.1)
│          ├✔ virginica : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
│          └✘ virginica : (ninstances = 6, ncovered = 6, confidence = 1.0, lift = 1.0)
├[9/10]┐ ([petal_length] < 2.75)
│      ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0)
│      └✘ ([petal_width] < 1.7000000000000002)
│        ├✔ ([petal_length] < 4.9)
│        │ ├✔ versicolor : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
│        │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0)
│        └✘ ([petal_length] < 4.85)
│          ├✔ versicolor : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN)
│          └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
└[10/10]┐ ([sepal_length] < 5.45)
        ├✔ ([petal_width] < 0.75)
        │ ├✔ setosa : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
        │ └✘ ([petal_length] < 4.2)
        │   ├✔ versicolor : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN)
        │   └✘ virginica : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN)
        └✘ ([petal_length] < 4.75)
          ├✔ ([petal_length] < 2.65)
          │ ├✔ setosa : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0)
          │ └✘ versicolor : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0)
          └✘ ([petal_width] < 1.7000000000000002)
            ├✔ versicolor : (ninstances = 1, ncovered = 1, confidence = 0.0, lift = NaN)
            └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔
TEST: DecisionTreeExt/adaboost.jl
Training set size: (105, 4) - (105,)
Test set size: (45, 4) - (45,)
Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}
Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔
▣ Ensemble{UInt32} of 10 models of type Branch{CategoricalValue{String, UInt32}}
├[1/10]┐ ([petal_length] < 2.5999999999999996)
│      ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
│      └✘ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.47, lift = 1.0)
├[2/10]┐ ([petal_width] < 0.75)
│      ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
│      └✘ virginica : (ninstances = 32, ncovered = 32, confidence = 0.53, lift = 1.0)
├[3/10]┐ ([petal_width] < 1.75)
│      ├✔ versicolor : (ninstances = 30, ncovered = 30, confidence = 0.5, lift = 1.0)
│      └✘ virginica : (ninstances = 15, ncovered = 15, confidence = 1.0, lift = 1.0)
├[4/10]┐ ([petal_length] < 2.5999999999999996)
│      ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
│      └✘ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.47, lift = 1.0)
├[5/10]┐ ([petal_length] < 2.5999999999999996)
│      ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
│      └✘ virginica : (ninstances = 32, ncovered = 32, confidence = 0.53, lift = 1.0)
├[6/10]┐ ([petal_length] < 5.05)
│      ├✔ versicolor : (ninstances = 30, ncovered = 30, confidence = 0.47, lift = 1.0)
│      └✘ virginica : (ninstances = 15, ncovered = 15, confidence = 0.93, lift = 1.0)
├[7/10]┐ ([petal_length] < 2.5999999999999996)
│      ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
│      └✘ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.47, lift = 1.0)
├[8/10]┐ ([petal_length] < 2.5999999999999996)
│      ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
│      └✘ virginica : (ninstances = 32, ncovered = 32, confidence = 0.53, lift = 1.0)
├[9/10]┐ ([petal_length] < 4.85)
│      ├✔ versicolor : (ninstances = 28, ncovered = 28, confidence = 0.5, lift = 1.0)
│      └✘ virginica : (ninstances = 17, ncovered = 17, confidence = 0.94, lift = 1.0)
└[10/10]┐ ([petal_length] < 2.5999999999999996)
        ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0)
        └✘ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.47, lift = 1.0)
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔
AdaBoost     accuracy: 0.9333333333333333
DecisionTree accuracy: 0.9333333333333333
RandomForest accuracy: 0.9333333333333333
[ Info: For silent loading, specify `verbosity=0`. 
import MLJDecisionTreeInterface ✔

##################################################
TEST: XGBoostExt/xgboost_classifier.jl
Training set size: (105, 4) - (105,)
Test set size: (45, 4) - (45,)
Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}
Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}
[ Info: For silent loading, specify `verbosity=0`. 
import MLJXGBoostInterface ✔
XGBoostExt: Error During Test at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:60
  Got exception outside of a @test
  LoadError: MethodError: no method matching choose_preds(::Matrix{Tuple{CategoricalValue{String, UInt32}, Float32}}, ::CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, ::DecisionXGBoost{CategoricalValue{String, UInt32}, Branch{CategoricalValue{String, UInt32}}, SoleModels.var"#143#144"})
  The function `choose_preds` exists, but no method is defined for this combination of argument types.
  
  Closest candidates are:
    choose_preds(::AbstractArray, !Matched::Vector{String}, ::DecisionXGBoost{<:Union{UInt32, AbstractString, Symbol, CategoricalValue}})
     @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/utils/models/ensembles.jl:472
  
  Stacktrace:
    [1] apply(m::DecisionXGBoost{CategoricalValue{String, UInt32}, Branch{CategoricalValue{String, UInt32}}, SoleModels.var"#143#144"}, d::PropositionalLogiset{DataFrame}; suppress_parity_warning::Bool, kwargs::@Kwargs{})
      @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/utils/models/ensembles.jl:521
    [2] apply(m::DecisionXGBoost{CategoricalValue{String, UInt32}, Branch{CategoricalValue{String, UInt32}}, SoleModels.var"#143#144"}, d::DataFrame; silent::Bool, suppress_parity_warning::Bool, kwargs::@Kwargs{})
      @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/types/model.jl:197
    [3] apply(m::DecisionXGBoost{CategoricalValue{String, UInt32}, Branch{CategoricalValue{String, UInt32}}, SoleModels.var"#143#144"}, d::DataFrame)
      @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/types/model.jl:192
    [4] top-level scope
      @ ~/.julia/packages/SoleModels/bbNUZ/test/XGBoostExt/xgboost_classifier.jl:53
    [5] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:307
    [6] IncludeInto
      @ ./Base.jl:308 [inlined]
    [7] run_tests(list::Vector{String})
      @ Main ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:37
    [8] macro expansion
      @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:61 [inlined]
    [9] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined]
   [10] macro expansion
      @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:61 [inlined]
   [11] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined]
   [12] top-level scope
      @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:56
   [13] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:307
   [14] top-level scope
      @ none:6
   [15] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [16] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:283
   [17] _start()
      @ Base ./client.jl:550
  in expression starting at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/XGBoostExt/xgboost_classifier.jl:53

Test Summary:     | Pass  Error  Broken  Total     Time
SoleModels.jl     |  902      2      30    934  6m08.4s
  Models          |   98                    98    33.5s
  Miscellaneous   |  199             30    229    30.9s
  Parse           |   13                    13    28.5s
  Rules           |           1              1  1m28.6s
  Linear forms    |    7                     7     0.4s
  DecisionTreeExt |  584                   584  2m35.1s
  XGBoostExt      |    1      1              2    31.3s
RNG of the outermost testset: Xoshiro(0xed3b84d45b9b30ce, 0x2a508c1180e918d6, 0x3b45e556b1bb988c, 0xaf53fa4582498310, 0x5fd67ba0e7030b7c)
ERROR: LoadError: Some tests did not pass: 902 passed, 0 failed, 2 errored, 30 broken.
in expression starting at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:55

Testing failed after 1016.82s

ERROR: LoadError: Package SoleModels errored during testing
Stacktrace:
  [1] pkgerror(msg::String)
    @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/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/v1.12/Pkg/src/Operations.jl:2535
  [3] test
    @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2384 [inlined]
  [4] 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/v1.12/Pkg/src/API.jl:538
  [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:169
  [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157
  [7] test
    @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [inlined]
  [8] #test#81
    @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:156 [inlined]
  [9] top-level scope
    @ /PkgEval.jl/scripts/evaluate.jl:223
 [10] include(mod::Module, _path::String)
    @ Base ./Base.jl:306
 [11] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:317
 [12] _start()
    @ Base ./client.jl:550
in expression starting at /PkgEval.jl/scripts/evaluate.jl:214

PkgEval failed after 2642.02s: package tests unexpectedly errored