Package evaluation of OutlierDetectionNeighbors on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T06:18:29.264 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.05s ################################################################################ # Installation # Installing OutlierDetectionNeighbors... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [51249a0a] + OutlierDetectionNeighbors v0.1.5 Updating `~/.julia/environments/v1.10/Manifest.toml` [324d7699] + CategoricalArrays v0.10.8 [861a8166] + Combinatorics v1.0.2 [9a962f9c] + DataAPI v1.16.0 [b4f34e82] + Distances v0.10.12 [e80e1ace] + MLJModelInterface v1.11.0 [e1d29d7a] + Missings v1.2.0 [b8a86587] + NearestNeighbors v0.4.21 [1722ece6] + OutlierDetectionInterface v0.2.1 [51249a0a] + OutlierDetectionNeighbors v0.1.5 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.0 [30f210dd] + ScientificTypesBase v3.0.0 [90137ffa] + StaticArrays v1.9.12 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [82ae8749] + StatsAPI v1.7.0 [56f22d72] + Artifacts [ade2ca70] + Dates [9fa8497b] + Future [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [de0858da] + Printf [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.23+4 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Installation completed after 6.41s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 124.05s ################################################################################ # Testing # Testing OutlierDetectionNeighbors Status `/tmp/jl_7xAQkF/Project.toml` [861a8166] Combinatorics v1.0.2 [b4f34e82] Distances v0.10.12 [b8a86587] NearestNeighbors v0.4.21 [1722ece6] OutlierDetectionInterface v0.2.1 [51249a0a] OutlierDetectionNeighbors v0.1.5 [66620973] OutlierDetectionTest v0.3.1 [37e2e46d] LinearAlgebra [10745b16] Statistics v1.10.0 [8dfed614] Test Status `/tmp/jl_7xAQkF/Manifest.toml` [7d9f7c33] Accessors v0.1.41 [79e6a3ab] Adapt v4.2.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.4.0 [a9b6321e] Atomix v1.1.0 [198e06fe] BangBang v0.4.3 [9718e550] Baselet v0.1.1 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [d360d2e6] ChainRulesCore v1.25.1 [3da002f7] ColorTypes v0.12.0 [861a8166] Combinatorics v1.0.2 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.20 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.117 [ffbed154] DocStringExtensions v0.9.3 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 [46192b85] GPUArraysCore v0.2.0 [34004b35] HypergeometricFunctions v0.3.27 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.34 [b964fa9f] LaTeXStrings v1.4.0 ⌅ [92ad9a40] LearnAPI v0.1.0 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 [a7f614a8] MLJBase v1.7.0 [e80e1ace] MLJModelInterface v1.11.0 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.7 [1914dd2f] MacroTools v0.5.15 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.27 [71a1bf82] NameResolution v0.1.5 [b8a86587] NearestNeighbors v0.4.21 [bac558e1] OrderedCollections v1.8.0 [262411bb] OutlierDetection v0.4.1 [1722ece6] OutlierDetectionInterface v0.2.1 [51249a0a] OutlierDetectionNeighbors v0.1.5 [66620973] OutlierDetectionTest v0.3.1 [90014a1f] PDMats v0.11.32 [d96e819e] Parameters v0.12.3 [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v2.4.0 [92933f4c] ProgressMeter v1.10.2 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.0 [79098fc4] Rmath v0.8.0 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [efcf1570] Setfield v1.1.1 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.4 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.0 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.12 [1e83bf80] StaticArraysCore v1.4.3 [c062fc1d] StatisticalMeasuresBase v0.1.2 [64bff920] StatisticalTraits v3.4.0 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.3.2 [892a3eda] StringManipulation v0.4.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [28d57a85] Transducers v0.4.84 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [8ba89e20] Distributed [9fa8497b] Future [b77e0a4c] InteractiveUtils [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [de0858da] Printf [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [6462fe0b] Sockets [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [4536629a] OpenBLAS_jll v0.3.23+4 [05823500] OpenLibm_jll v0.8.1+4 [bea87d4a] SuiteSparse_jll v7.2.1+1 [8e850b90] libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Test Summary: | Pass Total Time ABODDetector @meta | 4 4 0.3s Test Summary: | Pass Total Time COFDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time DNNDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time KNNDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time LOFDetector @meta | 4 4 0.0s [ Info: Training machine(ABODDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ABODDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ABODDetector(k = 5, …), …). Test Summary: | Pass Total Time ABODDetector(k = 5, …) | 10 10 48.4s [ Info: Training machine(ABODDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ABODDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ABODDetector(k = 5, …), …). Test Summary: | Pass Total Time ABODDetector(k = 5, …) | 10 10 1.6s [ Info: Training machine(ABODDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ABODDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ABODDetector(k = 5, …), …). Test Summary: | Pass Total Time ABODDetector(k = 5, …) | 10 10 1.6s [ Info: Training machine(COFDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(k = 5, …), …). Test Summary: | Pass Total Time COFDetector(k = 5, …) | 10 10 33.2s [ Info: Training machine(COFDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(k = 5, …), …). Test Summary: | Pass Total Time COFDetector(k = 5, …) | 10 10 2.3s [ Info: Training machine(COFDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(k = 5, …), …). Test Summary: | Pass Total Time COFDetector(k = 5, …) | 10 10 0.1s [ Info: Training machine(COFDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(k = 5, …), …). Test Summary: | Pass Total Time COFDetector(k = 5, …) | 10 10 0.0s [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). Test Summary: | Pass Total Time DNNDetector(metric = Distances.Euclidean(0.0), …) | 10 10 8.0s [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). Test Summary: | Pass Total Time DNNDetector(metric = Distances.Euclidean(0.0), …) | 10 10 0.4s [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(DNNDetector(metric = Distances.Euclidean(0.0), …), …). Test Summary: | Pass Total Time DNNDetector(metric = Distances.Euclidean(0.0), …) | 10 10 0.3s [ Info: Training machine(KNNDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(k = 5, …), …). Test Summary: | Pass Total Time KNNDetector(k = 5, …) | 10 10 9.0s [ Info: Training machine(KNNDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(k = 5, …), …). Test Summary: | Pass Total Time KNNDetector(k = 5, …) | 10 10 0.0s [ Info: Training machine(KNNDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(k = 5, …), …). Test Summary: | Pass Total Time KNNDetector(k = 5, …) | 10 10 1.3s [ Info: Training machine(KNNDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(k = 5, …), …). Test Summary: | Pass Total Time KNNDetector(k = 5, …) | 10 10 0.0s [ Info: Training machine(LOFDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(k = 5, …), …). Test Summary: | Pass Total Time LOFDetector(k = 5, …) | 10 10 8.2s [ Info: Training machine(LOFDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(k = 5, …), …). Test Summary: | Pass Total Time LOFDetector(k = 5, …) | 10 10 0.0s [ Info: Training machine(LOFDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(k = 5, …), …). Test Summary: | Pass Total Time LOFDetector(k = 5, …) | 10 10 0.0s [ Info: Training machine(LOFDetector(k = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(k = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(k = 5, …), …). Test Summary: | Pass Total Time LOFDetector(k = 5, …) | 10 10 0.8s Testing OutlierDetectionNeighbors tests passed Testing completed after 279.38s PkgEval succeeded after 418.34s