Package evaluation to test NeuroStats on Julia 1.12.4 (f5754389fd*) started at 2026-02-02T12:12:42.387 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 5.09s ################################################################################ # Installation # Installing NeuroStats... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [d956cd15] + NeuroStats v0.2.5 Updating `~/.julia/environments/v1.12/Manifest.toml` ⌃ [da404889] + ARFFFiles v1.5.0 [621f4979] + AbstractFFTs v1.5.0 [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 [7d9fca2a] + Arpack v0.5.4 [4c555306] + ArrayLayouts v1.12.2 [69666777] + Arrow v2.8.1 [31f734f8] + ArrowTypes v2.3.0 [a9b6321e] + Atomix v1.1.2 [13072b0f] + AxisAlgorithms v1.1.0 [093aae92] + BSplineKit v0.19.1 [aae01518] + BandedMatrices v1.11.0 [198e06fe] + BangBang v0.4.7 [9718e550] + Baselet v0.1.1 [6e4b80f9] + BenchmarkTools v1.6.3 [d1d4a3ce] + BitFlags v0.1.9 [c3b6d118] + BitIntegers v0.3.7 [e28b5b4c] + Bootstrap v2.4.0 [fa961155] + CEnum v0.5.0 [336ed68f] + CSV v0.10.15 ⌅ [324d7699] + CategoricalArrays v0.10.9 ⌅ [af321ab8] + CategoricalDistributions v0.1.15 [d360d2e6] + ChainRulesCore v1.26.0 [aaaa29a8] + Clustering v0.15.8 [523fee87] + CodecBzip2 v0.8.5 [5ba52731] + CodecLz4 v0.4.6 [944b1d66] + CodecZlib v0.7.8 [6b39b394] + CodecZstd v0.8.7 [3da002f7] + ColorTypes v0.12.1 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.6 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [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 v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [85a47980] + Dictionaries v0.4.6 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [792122b4] + EarlyStopping v0.3.0 [4e289a0a] + EnumX v1.0.6 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [b86e33f2] + FFTA v0.3.1 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [442a2c76] + FastGaussQuadrature v1.1.0 [33837fe5] + FeatureSelection v0.2.4 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.16.0 [53c48c17] + FixedPointNumbers v0.8.5 [f6369f11] + ForwardDiff v1.3.2 [38e38edf] + GLM v1.9.2 [46192b85] + GPUArraysCore v0.2.0 [cd3eb016] + HTTP v1.10.19 [076d061b] + HashArrayMappedTries v0.2.0 [87dc4568] + HiGHS v1.20.1 [34004b35] + HypergeometricFunctions v0.3.28 [09f84164] + HypothesisTests v0.11.6 [615f187c] + IfElse v0.1.1 [313cdc1a] + Indexing v1.1.1 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.5 [18e54dd8] + IntegerMathUtils v0.1.3 [a98d9a8b] + Interpolations v0.16.2 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [b3c1a2ee] + IterationControl v0.5.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.29.4 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.39 [5ab0869b] + KernelDensity v0.6.11 [b964fa9f] + LaTeXStrings v1.4.0 [a5e1c1ea] + LatinHypercubeSampling v1.9.0 ⌅ [92ad9a40] + LearnAPI v1.0.1 [6d4de0fb] + LinRegOutliers v0.11.7 [4345ca2d] + Loess v0.6.5 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [c2834f40] + MLCore v1.0.0 ⌅ [64a0f543] + MLFlowClient v0.5.1 ⌅ [add582a8] + MLJ v0.20.9 [45f359ea] + MLJBalancing v0.1.5 ⌃ [a7f614a8] + MLJBase v1.9.2 ⌃ [50ed68f4] + MLJEnsembles v0.4.3 [7b7b8358] + MLJFlow v0.5.0 [614be32b] + MLJIteration v0.6.4 [e80e1ace] + MLJModelInterface v1.12.1 ⌅ [d491faf4] + MLJModels v0.17.9 [03970b2e] + MLJTuning v0.8.9 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [8c4f8055] + MathOptIIS v0.1.1 [b8f27783] + MathOptInterface v1.49.0 [739be429] + MbedTLS v1.1.9 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [ff71e718] + MixedModels v5.2.2 [7e9fb7ac] + MixedModelsDatasets v0.1.2 [78c3b35d] + Mocking v0.8.1 [46d2c3a1] + MuladdMacro v0.2.4 [6f286f6a] + MultivariateStats v0.10.3 [d8a4904e] + MutableArithmetics v1.6.7 [76087f3c] + NLopt v1.2.1 [872c559c] + NNlib v0.9.33 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [b8a86587] + NearestNeighbors v0.4.26 [d956cd15] + NeuroStats v0.2.5 [6fe1bfb0] + OffsetArrays v1.17.0 [8b6db2d4] + OpenML v0.3.3 [4d8831e6] + OpenSSL v1.6.1 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [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 v2.4.0 [27ebfcd6] + Primes v0.5.7 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [545c379f] + RegressionFormulae v0.1.4 [05181044] + RelocatableFolders v1.0.1 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v2.2.10 [431bcebd] + SciMLPublic v1.0.1 ⌃ [321657f4] + ScientificTypes v3.1.1 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.5.0 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.9 [efcf1570] + Setfield v1.1.2 [1277b4bf] + ShiftedArrays v2.0.0 [605ecd9f] + ShowCases v0.1.0 [777ac1f9] + SimpleBufferStream v1.2.0 [699a6c99] + SimpleTraits v0.9.5 [8e55fee6] + Simpson v1.0.1 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [03a91e81] + SplitApplyCombine v1.2.3 [171d559e] + SplittablesBase v0.1.15 [860ef19b] + StableRNGs v1.0.4 [aedffcd0] + Static v1.3.1 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 ⌅ [a19d573c] + StatisticalMeasures v0.2.1 [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 [2cb19f9e] + StatsKit v0.3.1 [3eaba693] + StatsModels v0.7.8 [892a3eda] + StringManipulation v0.4.2 [354b36f9] + StringViews v1.3.7 [856f2bd8] + StructTypes v1.11.0 [dc5dba14] + TZJData v1.5.0+2025b [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [9e3dc215] + TimeSeries v0.25.2 [f269a46b] + TimeZones v1.22.2 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.85 [9d95f2ec] + TypedTables v1.4.6 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 [ea10d353] + WeakRefStrings v1.4.2 [efce3f68] + WoodburyMatrices v1.1.0 [76eceee3] + WorkerUtilities v1.6.1 ⌅ [68821587] + Arpack_jll v3.5.2+0 [6e34b625] + Bzip2_jll v1.0.9+0 [8fd58aa0] + HiGHS_jll v1.12.0+0 [5ced341a] + Lz4_jll v1.10.1+0 [d00139f3] + METIS_jll v5.1.3+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [079eb43e] + NLopt_jll v2.10.0+0 [656ef2d0] + OpenBLAS32_jll v0.3.30+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [3161d3a3] + Zstd_jll v1.5.7+1 [53656f53] + mrfDepth_jll v1.0.14+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 [9abbd945] + Profile 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 3.92s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 2680.7 ms ✓ TestEnv 1 dependency successfully precompiled in 3 seconds. 26 already precompiled. Precompiling package dependencies... Precompiling packages... 1684.1 ms ✓ Combinatorics 571.1 ms ✓ MuladdMacro 787.1 ms ✓ StringViews 612.0 ms ✓ ScientificTypesBase 3670.2 ms ✓ PrettyPrinting 758.7 ms ✓ AbstractFFTs 601.7 ms ✓ LaTeXStrings 626.5 ms ✓ ExprTools 522.6 ms ✓ IteratorInterfaceExtensions 2697.0 ms ✓ UnsafeAtomics 755.3 ms ✓ WorkerUtilities 613.6 ms ✓ StatsAPI 1209.9 ms ✓ InitialValues 2627.4 ms ✓ CEnum 1144.1 ms ✓ OffsetArrays 562.4 ms ✓ UnPack 605.9 ms ✓ IntegerMathUtils 1279.2 ms ✓ FillArrays 673.8 ms ✓ InverseFunctions 784.9 ms ✓ Statistics 561.5 ms ✓ CommonSolve 657.9 ms ✓ PrettyPrint 636.9 ms ✓ ArgCheck 2540.6 ms ✓ ShowCases 5011.8 ms ✓ MacroTools 672.7 ms ✓ TZJData 637.4 ms ✓ ShiftedArrays 2790.8 ms ✓ OrderedCollections 846.1 ms ✓ Requires 547.6 ms ✓ DataValueInterfaces 628.0 ms ✓ EnumX 667.0 ms ✓ StableRNGs 563.5 ms ✓ Reexport 786.5 ms ✓ DocStringExtensions 1235.2 ms ✓ InlineStrings 768.4 ms ✓ AbstractTrees 3301.6 ms ✓ IrrationalConstants 951.0 ms ✓ URIs 603.1 ms ✓ SimpleBufferStream 2710.8 ms ✓ BitIntegers 613.3 ms ✓ CompositionsBase 601.9 ms ✓ PtrArrays 887.1 ms ✓ TranscodingStreams 662.6 ms ✓ HashArrayMappedTries 606.1 ms ✓ DefineSingletons 2506.3 ms ✓ NaNMath 834.1 ms ✓ LearnAPI 708.2 ms ✓ DelimitedFiles 619.6 ms ✓ InvertedIndices 704.6 ms ✓ ArrowTypes 21308.2 ms ✓ MLStyle 564.0 ms ✓ IfElse 2544.4 ms ✓ ConstructionBase 562.1 ms ✓ CommonWorldInvalidations 610.3 ms ✓ DataAPI 3079.9 ms ✓ Crayons 639.7 ms ✓ BitFlags 733.8 ms ✓ ComputationalResources 579.6 ms ✓ Simpson 588.7 ms ✓ Indexing 643.0 ms ✓ SciMLPublic 718.9 ms ✓ StaticArraysCore 1588.8 ms ✓ Baselet 1302.6 ms ✓ ConcurrentUtilities 1301.6 ms ✓ ProgressMeter 1242.0 ms ✓ PDMats 978.4 ms ✓ WoodburyMatrices 1452.2 ms ✓ SentinelArrays 3006.2 ms ✓ StructTypes 674.4 ms ✓ Scratch 778.5 ms ✓ LoggingExtras 830.3 ms ✓ Preferences 2592.8 ms ✓ Compat 1081.6 ms ✓ ExceptionUnwrapping 7325.9 ms ✓ MutableArithmetics 619.6 ms ✓ StatisticalTraits 2735.6 ms ✓ AbstractFFTs → AbstractFFTsTestExt 533.5 ms ✓ TableTraits 711.5 ms ✓ Atomix 818.6 ms ✓ Primes 1000.5 ms ✓ FillArrays → FillArraysSparseArraysExt 1176.3 ms ✓ InverseFunctions → InverseFunctionsTestExt 624.4 ms ✓ InverseFunctions → InverseFunctionsDatesExt 4481.9 ms ✓ FixedPointNumbers 2898.5 ms ✓ Distances 907.6 ms ✓ Statistics → SparseArraysExt 797.3 ms ✓ EarlyStopping 633.7 ms ✓ FillArrays → FillArraysStatisticsExt 579.0 ms ✓ NameResolution 1132.2 ms ✓ CommonSubexpressions 1969.0 ms ✓ SimpleTraits 2380.2 ms ✓ DataStructures 688.2 ms ✓ Parameters 596.8 ms ✓ Ratios 666.4 ms ✓ Adapt 976.0 ms ✓ LogExpFunctions 597.2 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 693.0 ms ✓ AliasTables 659.7 ms ✓ CodecZlib 626.7 ms ✓ ScopedValues 596.0 ms ✓ InlineStrings → ArrowTypesExt 581.9 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 719.6 ms ✓ PooledArrays 2521.5 ms ✓ Missings 3009.9 ms ✓ OpenSSL 1355.9 ms ✓ Dictionaries 618.5 ms ✓ DiffResults 941.3 ms ✓ FillArrays → FillArraysPDMatsExt 925.0 ms ✓ AxisAlgorithms 752.6 ms ✓ RelocatableFolders 789.1 ms ✓ JLLWrappers 635.3 ms ✓ PrecompileTools 629.7 ms ✓ Compat → CompatLinearAlgebraExt 1686.6 ms ✓ MLJModelInterface 2889.6 ms ✓ Tables 1903.3 ms ✓ FFTA 3594.3 ms ✓ ColorTypes 919.9 ms ✓ Distances → DistancesSparseArraysExt 2413.6 ms ✓ IterationControl 8193.7 ms ✓ JuliaVariables 779.2 ms ✓ SortingAlgorithms 3291.8 ms ✓ QuadGK 632.4 ms ✓ Ratios → RatiosFixedPointNumbersExt 847.8 ms ✓ Adapt → AdaptSparseArraysExt 822.5 ms ✓ GPUArraysCore 628.6 ms ✓ OffsetArrays → OffsetArraysAdaptExt 569.9 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 2124.0 ms ✓ Setfield 5316.2 ms ✓ Accessors 4880.3 ms ✓ CategoricalArrays 1014.3 ms ✓ SplitApplyCombine 988.5 ms ✓ Bzip2_jll 1022.2 ms ✓ Lz4_jll 999.9 ms ✓ METIS_jll 1006.9 ms ✓ Rmath_jll 1004.7 ms ✓ NLopt_jll 994.4 ms ✓ Arpack_jll 972.4 ms ✓ MbedTLS_jll 1004.3 ms ✓ Zstd_jll 1000.4 ms ✓ OpenSpecFun_jll 992.8 ms ✓ OpenBLAS32_jll 981.9 ms ✓ mrfDepth_jll 11844.1 ms ✓ StaticArrays 2059.4 ms ✓ RecipesBase 2304.5 ms ✓ StringManipulation 13964.6 ms ✓ Parsers 5063.2 ms ✓ Static 876.3 ms ✓ Mocking 1564.5 ms ✓ FilePathsBase 3450.8 ms ✓ ChainRulesCore 691.6 ms ✓ ContextVariablesX 2518.7 ms ✓ MLCore 1728.9 ms ✓ FeatureSelection 830.2 ms ✓ ColorTypes → StyledStringsExt 4605.6 ms ✓ StatsBase 2420.0 ms ✓ SplittablesBase 1470.6 ms ✓ Accessors → LinearAlgebraExt 1209.0 ms ✓ Accessors → TestExt 775.2 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 722.1 ms ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 2882.5 ms ✓ TypedTables 697.7 ms ✓ CodecBzip2 1398.5 ms ✓ CodecLz4 1076.3 ms ✓ Rmath 1455.9 ms ✓ NLopt 951.1 ms ✓ Arpack 1429.2 ms ✓ MbedTLS 1388.1 ms ✓ CodecZstd 3764.2 ms ✓ SpecialFunctions 984.1 ms ✓ HiGHS_jll 927.2 ms ✓ StaticArrays → StaticArraysStatisticsExt 999.5 ms ✓ FillArrays → FillArraysStaticArraysExt 953.7 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 917.2 ms ✓ Adapt → AdaptStaticArraysExt 1043.6 ms ✓ Accessors → StaticArraysExt 2471.4 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 22547.9 ms ✓ PrettyTables 11635.7 ms ✓ JSON3 2676.9 ms ✓ JSON 682.0 ms ✓ InlineStrings → ParsersExt 3441.3 ms ✓ ARFFFiles 7145.5 ms ✓ TimeZones 945.6 ms ✓ FilePathsBase → FilePathsBaseMmapExt 2098.8 ms ✓ FilePathsBase → FilePathsBaseTestExt 2643.8 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 650.5 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 642.1 ms ✓ Distances → DistancesChainRulesCoreExt 2385.4 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 2653.3 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 717.6 ms ✓ FLoopsBase 1353.7 ms ✓ LatinHypercubeSampling 969.8 ms ✓ PDMats → StatsBaseExt 6173.6 ms ✓ Roots 1231.7 ms ✓ BangBang 21343.1 ms ✓ HTTP 2804.8 ms ✓ FastGaussQuadrature 2973.0 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 1452.7 ms ✓ HypergeometricFunctions 902.1 ms ✓ DiffRules 6207.7 ms ✓ NearestNeighbors 16063.0 ms ✓ ArrayLayouts 7460.8 ms ✓ KernelAbstractions 3430.0 ms ✓ TimeSeries 57816.9 ms ✓ DataFrames 780.4 ms ✓ JSON3 → JSON3ArrowExt 2015.4 ms ✓ BenchmarkTools 749.7 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 1517.0 ms ✓ WeakRefStrings 3510.2 ms ✓ TimeZones → TimeZonesRecipesBaseExt 10866.2 ms ✓ Arrow 4653.1 ms ✓ Interpolations 842.6 ms ✓ Roots → RootsChainRulesCoreExt 1110.3 ms ✓ BangBang → BangBangStaticArraysExt 845.1 ms ✓ BangBang → BangBangChainRulesCoreExt 867.4 ms ✓ BangBang → BangBangTypedTablesExt 816.4 ms ✓ BangBang → BangBangTablesExt 1631.0 ms ✓ MicroCollections 4379.9 ms ✓ MLFlowClient 3615.9 ms ✓ StatsFuns 6357.8 ms ✓ ForwardDiff 2641.2 ms ✓ Clustering 2135.7 ms ✓ ArrayLayouts → ArrayLayoutsSparseArraysExt 18121.1 ms ✓ BandedMatrices 1875.0 ms ✓ KernelAbstractions → SparseArraysExt 1382.5 ms ✓ KernelAbstractions → LinearAlgebraExt 3789.1 ms ✓ BangBang → BangBangDataFramesExt 4554.7 ms ✓ OpenML 20721.3 ms ✓ CSV 5903.4 ms ✓ MixedModelsDatasets 4250.4 ms ✓ CategoricalArrays → CategoricalArraysArrowExt 6745.0 ms ✓ Transducers 699.9 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 2439.6 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1140.1 ms ✓ Loess 3009.8 ms ✓ StatsModels 6228.6 ms ✓ Distributions 1143.0 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 994.8 ms ✓ Roots → RootsForwardDiffExt 57688.4 ms ✓ MathOptInterface 1692.1 ms ✓ Interpolations → InterpolationsForwardDiffExt 2983.5 ms ✓ BandedMatrices → BandedMatricesSparseArraysExt 9712.8 ms ✓ NNlib 3754.7 ms ✓ Transducers → TransducersDataFramesExt 1302.5 ms ✓ Transducers → TransducersAdaptExt 10517.2 ms ✓ FLoops 2223.2 ms ✓ RegressionFormulae 2382.5 ms ✓ Distributions → DistributionsTestExt 3528.5 ms ✓ Distributions → DistributionsChainRulesCoreExt 3184.6 ms ✓ GLM 2857.9 ms ✓ HypothesisTests 4916.8 ms ✓ ScientificTypes 2282.7 ms ✓ MultivariateStats 4861.1 ms ✓ Bootstrap 3644.6 ms ✓ MathOptIIS 33422.2 ms ✓ JuMP 4130.3 ms ✓ NLopt → NLoptMathOptInterfaceExt 16558.9 ms ✓ BSplineKit 1620.0 ms ✓ NNlib → NNlibSpecialFunctionsExt 1678.8 ms ✓ NNlib → NNlibForwardDiffExt 15160.8 ms ✓ MLUtils 2307.9 ms ✓ KernelDensity 4656.1 ms ✓ CategoricalDistributions 22796.1 ms ✓ HiGHS 100788.0 ms ✓ MixedModels 13452.2 ms ✓ StatisticalMeasuresBase 16518.3 ms ✓ MLJModels 15848.7 ms ✓ LinRegOutliers 17951.2 ms ✓ MixedModels → MixedModelsForwardDiffExt 31148.2 ms ✓ StatisticalMeasures 11033.0 ms ✓ MLJBase 7072.2 ms ✓ MLJEnsembles 34533.8 ms ✓ StatsKit 5152.4 ms ✓ StatisticalMeasures → ScientificTypesExt 8017.9 ms ✓ MLJBalancing 5756.9 ms ✓ MLJBase → DefaultMeasuresExt 8877.1 ms ✓ MLJIteration 8801.7 ms ✓ MLJFlow 8080.5 ms ✓ MLJTuning 12989.7 ms ✓ MLJ 48805.6 ms ✓ NeuroStats 280 dependencies successfully precompiled in 1192 seconds. 41 already precompiled. Precompilation completed after 1205.29s ################################################################################ # Testing # Testing NeuroStats Status `/tmp/jl_2mwlXq/Project.toml` [a93c6f00] DataFrames v1.8.1 [b4f34e82] Distances v0.10.12 [38e38edf] GLM v1.9.2 [09f84164] HypothesisTests v0.11.6 [6d4de0fb] LinRegOutliers v0.11.7 [4345ca2d] Loess v0.6.5 ⌅ [add582a8] MLJ v0.20.9 [d956cd15] NeuroStats v0.2.5 ⌅ [08abe8d2] PrettyTables v2.4.0 [92933f4c] ProgressMeter v1.11.0 [8e55fee6] Simpson v1.0.1 [4c63d2b9] StatsFuns v1.5.2 [2cb19f9e] StatsKit v0.3.1 [3eaba693] StatsModels v0.7.8 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_2mwlXq/Manifest.toml` ⌃ [da404889] ARFFFiles v1.5.0 [621f4979] AbstractFFTs v1.5.0 [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 [7d9fca2a] Arpack v0.5.4 [4c555306] ArrayLayouts v1.12.2 [69666777] Arrow v2.8.1 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Printf v1.11.0 [9abbd945] Profile 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. Testing Running tests... [ Info: Test: hildebrand_rule() H < 0.2, x is symmetric [ Info: Test: jaccard_similarity() [ Info: Test: zscore() [ Info: Test: k_categories() [ Info: Test: efs() [ Info: Test: infcrit() [ Info: Test: outlier_detect() [ Info: Test: cmp_test() Distribution: normal (Jarque-Bera test: JB=1.667, p=0.435) Using one sample T-test (paired data) Distribution: non-normal (Jarque-Bera test: JB=333.333, p=0.0) Group 1 mean: 1.0 Group 2 mean: 0.0 H0 has non-normal distribution; p value for JB-test: 0.0 [ Info: Test: cor_test() [ Info: Test: binom_prob() [ Info: Test: cvm() [ Info: Test: cvmd() [ Info: Test: fano() [ Info: Test: meang() [ Info: Test: meanh() [ Info: Test: meanw() [ Info: Test: efs_p1g() [ Info: Test: efs_p2g() [ Info: Test: moe() [ Info: Test: rng() [ Info: Test: mrng() [ Info: Test: sem() [ Info: Test: semd() [ Info: Test: pred_int() [ Info: Test: sem_diff() [ Info: Test: prank() [ Info: Test: linreg() [ Info: Test: dprime() [ Info: Test: norminv() [ Info: Test: dranks() [ Info: Test: res_norm() [ Info: Test: mcc() [ Info: Test: meanc() [ Info: Test: summary() ┌──────────┬───────┐ │ │ │ ├──────────┼───────┤ │ N │ 10 │ │ mean │ 1.000 │ │ variance │ 0.000 │ │ std dev │ 0.000 │ │ median │ 1.000 │ │ mode │ 1.000 │ └──────────┴───────┘ ┌──────────┬───────┬───────┐ │ Group │ 1 │ 2 │ ├──────────┼───────┼───────┤ │ N │ 10 │ 10 │ │ mean │ 1.000 │ 1.000 │ │ variance │ 0.000 │ 0.000 │ │ std dev │ 0.000 │ 0.000 │ │ median │ 1.000 │ 1.000 │ │ mode │ 1.000 │ 1.000 │ └──────────┴───────┴───────┘ [ Info: Test: cimd() [ Info: Test: cir() [ Info: Test: p2z() [ Info: Test: slope() [ Info: Test: distance() [ Info: Test: friedman() [ Info: Test: count_thresh() [ Info: Test: crit_z() [ Info: Test: crit_t() [ Info: Test: size_c2g() [ Info: Test: size_c1g() [ Info: Test: size_p1g() [ Info: Test: size_p2g() [ Info: Test: power_c1g() [ Info: Test: power_c2g() [ Info: Test: power_p1g() [ Info: Test: power_p2g() [ Info: Test: z2p() [ Info: Test: size_c1diff() [ Info: Test: size_p1diff() ┌ Warning: Sample size will be estimated. └ @ NeuroStats ~/.julia/packages/NeuroStats/psuaG/src/functions/power.jl:381 ┌ Warning: Sample size will be estimated. └ @ NeuroStats ~/.julia/packages/NeuroStats/psuaG/src/functions/power.jl:386 [ Info: Test: bootstrap_ci() [ Info: Test: bootstrap_stat() [ Info: Test: f1() [ Info: Test: mscr() [ Info: Test: cosim() [ Info: Test: cip() [ Info: Test: cl2z() [ Info: Test: stdp() [ Info: Test: permute() [ Info: Test: r2f() [ Info: Test: r1r2_zscore() [ Info: Test: mdiff() [ Info: Test: msci95() [ Info: Test: ba() [ Info: Test: logit() [ Info: Test: ss() [ Info: Test: var() [ Info: Test: std() [ Info: Test: mean() [ Info: Test: sep() [ Info: Test: sep_diff() [ Info: Test: sen() [ Info: Test: sen_diff() [ Info: Test: mde() z_α = 1.9599639845400576 z_β = 0.8414805811217939 [ Info: Test: normalize() ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = normalize_mad(s::Vector{Int64}) at normalize.jl:936 └ @ Core ~/.julia/packages/NeuroStats/psuaG/src/functions/normalize.jl:936 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = normalize_mad(s::SubArray{Int64, 1, Matrix{Int64}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}}, true}) at normalize.jl:936 └ @ Core ~/.julia/packages/NeuroStats/psuaG/src/functions/normalize.jl:936 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = normalize_mad(s::Matrix{Int64}; bych::Bool) at normalize.jl:966 └ @ Core ~/.julia/packages/NeuroStats/psuaG/src/functions/normalize.jl:966 [ Info: Test: binom_test() Level 0: counts: 5 proportion: 0.5 95%CI: 0.19, 0.81 Level 1: counts: 5 proportion: 0.5 95%CI: 0.19, 0.81 Binomial test p value: 1.0 Note: level 1 proportion is tested against 0.5 Level 0: counts: 5 proportion: 0.5 95%CI: 0.19, 0.81 Level 1: counts: 5 proportion: 0.5 95%CI: 0.19, 0.81 Binomial test p value: 1.0 Note: level 1 proportion is tested against 0.5 Level 0: counts: 2 proportion: 0.5 95%CI: 0.01, 0.99 Level 1: counts: 2 proportion: 0.5 95%CI: 0.01, 0.99 Binomial test p value: 1.0 Note: level 1 proportion is tested against 0.5 [ Info: Test: op() [ Info: Test: angle() [ Info: Test: fivenum() [ Info: Test: na() [ Info: Test: dap() [ Info: Test: cim() [ Info: Test: t2p() [ Info: Test: chi2p() [ Info: Test: f2p() [ Info: Test: crit_chi() [ Info: Test: cis() [ Info: Test: civ() [ Info: Test: meant() [ Info: Test: size_p() [ Info: Test: size_m() Test Summary: | Pass Total Time NeuroStats.jl | 201 201 2m14.3s Testing NeuroStats tests passed Testing completed after 190.31s PkgEval succeeded after 1416.63s