Package evaluation to test SDeMo on Julia 1.14.0-DEV.2302 (b8ba835509*) started at 2026-06-07T02:24:44.362 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.55s ################################################################################ # Installation # Installing SDeMo... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [3e5feb82] + SDeMo v1.10.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [79e6a3ab] + Adapt v4.6.0 [66dad0bd] + AliasTables v1.1.3 [7d9fca2a] + Arpack v0.5.4 [13072b0f] + AxisAlgorithms v1.1.0 [324d7699] + CategoricalArrays v1.1.1 [d360d2e6] + ChainRulesCore v1.26.1 [34da2185] + Compat v4.18.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.2 [864edb3b] + DataStructures v0.19.5 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [31c24e10] + Distributions v0.25.126 [ffbed154] + DocStringExtensions v0.9.5 [1a297f60] + FillArrays v1.16.0 [38e38edf] + GLM v1.9.5 [8d5ece8b] + GLMNet v0.7.4 [34004b35] + HypergeometricFunctions v0.3.28 [842dd82b] + InlineStrings v1.4.5 [a98d9a8b] + Interpolations v0.16.2 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.1 [b964fa9f] + LaTeXStrings v1.4.0 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [e80e1ace] + MLJModelInterface v1.12.1 [81f79f80] + Maxnet v0.1.6 [e1d29d7a] + Missings v1.2.0 [6f286f6a] + MultivariateStats v0.10.4 [ee6415c8] + OccurrencesInterface v1.2.2 [6fe1bfb0] + OffsetArrays v1.17.0 ⌅ [bac558e1] + OrderedCollections v1.8.2 [90014a1f] + PDMats v0.11.37 [69de0a69] + Parsers v2.8.5 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [08abe8d2] + PrettyTables v3.3.2 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [c84ed2f1] + Ratios v0.4.5 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [3e5feb82] + SDeMo v1.10.0 [30f210dd] + ScientificTypesBase v3.1.0 [91c51154] + SentinelArrays v1.4.10 [1277b4bf] + ShiftedArrays v2.0.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.8.0 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.11 [4c63d2b9] + StatsFuns v2.0.1 [3eaba693] + StatsModels v0.7.10 [892a3eda] + StringManipulation v0.4.4 [ec057cc2] + StructUtils v2.8.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [1c621080] + TestItems v1.0.0 [efce3f68] + WoodburyMatrices v1.1.0 ⌅ [68821587] + Arpack_jll v3.5.2+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 ⌅ [78c6b45d] + glmnet_jll v2.0.13+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 v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.2+0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.4+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 6.46s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/RUPmD/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 13.4 s ✓ GLMNet 17.7 s ✓ Maxnet 18.9 s ✓ SDeMo 106.0 s ✓ SDeMo → MakieSDMExtension 4 dependencies successfully precompiled in 159 seconds. 308 already precompiled. Precompilation completed after 190.47s ################################################################################ # Testing # Testing SDeMo Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_DzAxCN/Project.toml` [13f3f980] + CairoMakie v0.15.11 [3e5feb82] + SDeMo v1.10.0 [f8b46487] + TestItemRunner v1.1.5 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_DzAxCN/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.6.0 [35492f91] + AdaptivePredicates v1.2.0 [66dad0bd] + AliasTables v1.1.3 [27a7e980] + Animations v0.4.2 [7d9fca2a] + Arpack v0.5.4 [67c07d97] + Automa v1.1.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [18cc8868] + BaseDirs v1.3.2 [fa961155] + CEnum v0.5.0 [96374032] + CRlibm v1.0.2 [159f3aea] + Cairo v1.1.1 [13f3f980] + CairoMakie v0.15.11 [324d7699] + CategoricalArrays v1.1.1 [d360d2e6] + ChainRulesCore v1.26.1 [6b39b394] + CodecZstd v0.8.7 [a2cac450] + ColorBrewer v0.4.2 [35d6a980] + ColorSchemes v3.31.0 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.1 [34da2185] + Compat v4.18.1 [95dc2771] + ComputePipeline v0.1.8 [187b0558] + ConstructionBase v1.6.0 [d38c429a] + Contour v0.6.3 [b7a15901] + CoreMath v0.1.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.2 [864edb3b] + DataStructures v0.19.5 [e2d170a0] + DataValueInterfaces v1.0.0 [927a84f5] + DelaunayTriangulation v1.6.6 [8bb1440f] + DelimitedFiles v1.9.1 [31c24e10] + Distributions v0.25.126 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.7 [429591f6] + ExactPredicates v2.2.9 [411431e0] + Extents v0.1.6 [b86e33f2] + FFTA v0.3.1 [5789e2e9] + FileIO v1.19.0 [8fc22ac5] + FilePaths v0.9.0 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.16.0 ⌅ [53c48c17] + FixedPointNumbers v0.8.6 [1fa38f19] + Format v1.3.7 [b38be410] + FreeType v4.1.1 [663a7486] + FreeTypeAbstraction v0.10.8 [38e38edf] + GLM v1.9.5 [8d5ece8b] + GLMNet v0.7.4 [5c1252a2] + GeometryBasics v0.5.10 [a2bd30eb] + Graphics v1.1.3 [3955a311] + GridLayoutBase v0.11.2 [34004b35] + HypergeometricFunctions v0.3.28 [2803e5a7] + ImageAxes v0.6.12 [c817782e] + ImageBase v0.1.7 [a09fc81d] + ImageCore v0.10.5 [82e4d734] + ImageIO v0.6.9 [bc367c6b] + ImageMetadata v0.9.10 [9b13fd28] + IndirectArrays v1.0.0 [d25df0c9] + Inflate v0.1.5 [842dd82b] + InlineStrings v1.4.5 [18e54dd8] + IntegerMathUtils v0.1.3 [a98d9a8b] + Interpolations v0.16.2 [d1acc4aa] + IntervalArithmetic v1.0.9 [8197267c] + IntervalSets v0.7.14 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [f1662d9f] + Isoband v0.1.1 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.1 [b835a17e] + JpegTurbo v0.1.6 [5ab0869b] + KernelDensity v0.6.12 [b964fa9f] + LaTeXStrings v1.4.0 [8cdb02fc] + LazyModules v0.3.1 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 [ee78f7c6] + Makie v0.24.11 [dbb5928d] + MappedArrays v0.4.3 [0a4f8689] + MathTeXEngine v0.6.9 [81f79f80] + Maxnet v0.1.6 [e1d29d7a] + Missings v1.2.0 [e94cdb99] + MosaicViews v0.3.4 [46d2c3a1] + MuladdMacro v0.2.4 [6f286f6a] + MultivariateStats v0.10.4 [77ba4419] + NaNMath v1.1.3 [f09324ee] + Netpbm v1.1.1 [510215fc] + Observables v0.5.5 [ee6415c8] + OccurrencesInterface v1.2.2 [6fe1bfb0] + OffsetArrays v1.17.0 [52e1d378] + OpenEXR v0.3.3 ⌅ [bac558e1] + OrderedCollections v1.8.2 [90014a1f] + PDMats v0.11.37 [f57f5aa1] + PNGFiles v0.4.5 [19eb6ba3] + Packing v0.5.1 [5432bcbf] + PaddedViews v0.5.12 [69de0a69] + Parsers v2.8.5 [eebad327] + PkgVersion v0.3.3 [995b91a9] + PlotUtils v1.4.4 [647866c9] + PolygonOps v0.1.2 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [08abe8d2] + PrettyTables v3.3.2 [27ebfcd6] + Primes v0.5.7 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [4b34888f] + QOI v1.0.2 [1fd47b50] + QuadGK v2.11.3 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [189a3867] + Reexport v1.2.2 [05181044] + RelocatableFolders v1.0.1 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [5eaf0fd0] + RoundingEmulator v0.2.1 [3e5feb82] + SDeMo v1.10.0 [fdea26ae] + SIMD v3.7.2 [30f210dd] + ScientificTypesBase v3.1.0 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.10 [65257c39] + ShaderAbstractions v0.5.0 [1277b4bf] + ShiftedArrays v2.0.0 [73760f76] + SignedDistanceFields v0.4.1 [699a6c99] + SimpleTraits v0.9.6 [45858cf5] + Sixel v0.1.5 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.8.0 [860ef19b] + StableRNGs v1.0.4 [cae243ae] + StackViews v0.1.2 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.11 ⌅ [4c63d2b9] + StatsFuns v1.5.2 [3eaba693] + StatsModels v0.7.10 [892a3eda] + StringManipulation v0.4.4 [09ab397b] + StructArrays v0.7.3 [ec057cc2] + StructUtils v2.8.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [62fd8b95] + TensorCore v0.1.1 [f8b46487] + TestItemRunner v1.1.5 [1c621080] + TestItems v1.0.0 [731e570b] + TiffImages v0.11.9 [3bb67fe8] + TranscodingStreams v0.11.3 [981d1d27] + TriplotBase v0.1.0 [1cfade01] + UnicodeFun v0.4.1 [1986cc42] + Unitful v1.28.0 [e3aaa7dc] + WebP v0.1.3 [efce3f68] + WoodburyMatrices v1.1.0 ⌅ [68821587] + Arpack_jll v3.5.2+0 [6e34b625] + Bzip2_jll v1.0.9+0 [4e9b3aee] + CRlibm_jll v1.0.1+0 [83423d85] + Cairo_jll v1.18.7+0 [a38c48d9] + CoreMath_jll v0.1.0+0 [5ae413db] + EarCut_jll v2.2.4+0 [2e619515] + Expat_jll v2.8.1+0 [b22a6f82] + FFMPEG_jll v8.1.0+0 [a3f928ae] + Fontconfig_jll v2.17.1+0 [d7e528f0] + FreeType2_jll v2.14.3+1 [559328eb] + FriBidi_jll v1.0.17+0 ⌅ [b0724c58] + GettextRuntime_jll v0.22.4+0 [59f7168a] + Giflib_jll v5.2.3+0 [7746bdde] + Glib_jll v2.86.3+0 [3b182d85] + Graphite2_jll v1.3.15+0 [2e76f6c2] + HarfBuzz_jll v8.5.1+0 [905a6f67] + Imath_jll v3.2.2+0 [aacddb02] + JpegTurbo_jll v3.1.5+0 [c1c5ebd0] + LAME_jll v3.100.3+0 [88015f11] + LERC_jll v4.1.0+0 [1d63c593] + LLVMOpenMP_jll v18.1.8+0 ⌅ [e9f186c6] + Libffi_jll v3.4.7+0 [7e76a0d4] + Libglvnd_jll v1.7.1+1 [94ce4f54] + Libiconv_jll v1.18.0+0 [4b2f31a3] + Libmount_jll v2.42.0+0 [89763e89] + Libtiff_jll v4.7.2+0 [38a345b3] + Libuuid_jll v2.42.0+0 [e7412a2a] + Ogg_jll v1.3.6+0 [6cdc7f73] + OpenBLASConsistentFPCSR_jll v0.3.33+0 [18a262bb] + OpenEXR_jll v3.4.12+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [91d4177d] + Opus_jll v1.6.1+0 [36c8627f] + Pango_jll v1.57.1+0 [30392449] + Pixman_jll v0.46.4+0 [f50d1b31] + Rmath_jll v0.5.1+0 [ffd25f8a] + XZ_jll v5.8.3+0 [4f6342f7] + Xorg_libX11_jll v1.8.13+0 [0c0b7dd1] + Xorg_libXau_jll v1.0.13+0 [a3789734] + Xorg_libXdmcp_jll v1.1.6+0 [1082639a] + Xorg_libXext_jll v1.3.8+0 [d091e8ba] + Xorg_libXfixes_jll v6.0.2+0 [ea2f1a96] + Xorg_libXrender_jll v0.9.12+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.19.0+0 [c7cfdc94] + Xorg_libxcb_jll v1.17.1+0 [c5fb5394] + Xorg_xtrans_jll v1.6.0+0 ⌅ [78c6b45d] + glmnet_jll v2.0.13+0 [9a68df92] + isoband_jll v0.2.3+0 [a4ae2306] + libaom_jll v3.13.3+0 [0ac62f75] + libass_jll v0.17.4+0 [8e53e030] + libdrm_jll v2.4.125+1 [f638f0a6] + libfdk_aac_jll v2.0.4+0 [b53b4c65] + libpng_jll v1.6.58+0 [075b6546] + libsixel_jll v1.10.5+0 [9a156e7d] + libva_jll v2.23.0+0 [f27f6e37] + libvorbis_jll v1.3.8+0 [c5f90fcd] + libwebp_jll v1.6.0+0 ⌅ [1270edf5] + x264_jll v10164.0.1+0 [dfaa095f] + x265_jll v4.1.0+0 [0dad84c5] + ArgTools v1.1.2 [2a0f44e3] + Base64 v1.11.0 [8bf52ea8] + CRC32c 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 v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] ~ Test ⇒ v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.4+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 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_DzAxCN/Project.toml` [13f3f980] CairoMakie v0.15.11 [3e5feb82] SDeMo v1.10.0 [10745b16] Statistics v1.11.1 [f8b46487] TestItemRunner v1.1.5 [8dfed614] Test v1.11.0 Status `/tmp/jl_DzAxCN/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [79e6a3ab] Adapt v4.6.0 [35492f91] AdaptivePredicates v1.2.0 [66dad0bd] AliasTables v1.1.3 [27a7e980] Animations v0.4.2 [7d9fca2a] Arpack v0.5.4 [67c07d97] Automa v1.1.0 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [18cc8868] BaseDirs v1.3.2 [fa961155] CEnum v0.5.0 [96374032] CRlibm v1.0.2 [159f3aea] Cairo v1.1.1 [13f3f980] CairoMakie v0.15.11 [324d7699] CategoricalArrays v1.1.1 [d360d2e6] ChainRulesCore v1.26.1 [6b39b394] CodecZstd v0.8.7 [a2cac450] ColorBrewer v0.4.2 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [34da2185] Compat v4.18.1 [95dc2771] 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[e7412a2a] Ogg_jll v1.3.6+0 [6cdc7f73] OpenBLASConsistentFPCSR_jll v0.3.33+0 [18a262bb] OpenEXR_jll v3.4.12+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [91d4177d] Opus_jll v1.6.1+0 [36c8627f] Pango_jll v1.57.1+0 [30392449] Pixman_jll v0.46.4+0 [f50d1b31] Rmath_jll v0.5.1+0 [ffd25f8a] XZ_jll v5.8.3+0 [4f6342f7] Xorg_libX11_jll v1.8.13+0 [0c0b7dd1] Xorg_libXau_jll v1.0.13+0 [a3789734] Xorg_libXdmcp_jll v1.1.6+0 [1082639a] Xorg_libXext_jll v1.3.8+0 [d091e8ba] Xorg_libXfixes_jll v6.0.2+0 [ea2f1a96] Xorg_libXrender_jll v0.9.12+0 [a65dc6b1] Xorg_libpciaccess_jll v0.19.0+0 [c7cfdc94] Xorg_libxcb_jll v1.17.1+0 [c5fb5394] Xorg_xtrans_jll v1.6.0+0 ⌅ [78c6b45d] glmnet_jll v2.0.13+0 [9a68df92] isoband_jll v0.2.3+0 [a4ae2306] libaom_jll v3.13.3+0 [0ac62f75] libass_jll v0.17.4+0 [8e53e030] libdrm_jll v2.4.125+1 [f638f0a6] libfdk_aac_jll v2.0.4+0 [b53b4c65] libpng_jll v1.6.58+0 [075b6546] libsixel_jll v1.10.5+0 [9a156e7d] libva_jll v2.23.0+0 [f27f6e37] libvorbis_jll v1.3.8+0 [c5f90fcd] libwebp_jll v1.6.0+0 ⌅ [1270edf5] x264_jll v10164.0.1+0 [dfaa095f] x265_jll v4.1.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [8bf52ea8] CRC32c 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 v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.2+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.6+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Baseline mcc: 0.0 [ Info: Optimal 1 variables model - mcc ≈ 0.8124 [ Info: Optimal 2 variables model - mcc ≈ 0.8218 [ Info: Optimal 3 variables model - mcc ≈ 0.8378 [ Info: Optimal 4 variables model - mcc ≈ 0.8409 [ Info: Optimal 5 variables model - mcc ≈ 0.8757 [ Info: Returning model with 5 variables - mcc ≈ 0.8757 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 ┌ Warning: stepwisevif! will be deprecated - use variables! with VarianceInflationFactor instead └ @ SDeMo ~/.julia/packages/SDeMo/VmeEM/src/deprecated/vif.jl:24 [ Info: [ 0%] LOSS: training ≈ 0.4761 validation ≈ 0.4472 ( 94%) [ Info: [ 1%] LOSS: training ≈ 0.394 validation ≈ 0.3659 ( 93%) [ Info: [ 2%] LOSS: training ≈ 0.3555 validation ≈ 0.3268 ( 92%) [ Info: [ 2%] LOSS: training ≈ 0.3339 validation ≈ 0.3042 ( 91%) [ Info: [ 2%] LOSS: training ≈ 0.3203 validation ≈ 0.2897 ( 90%) [ Info: [ 3%] LOSS: training ≈ 0.3111 validation ≈ 0.2797 ( 90%) [ Info: [ 4%] LOSS: training ≈ 0.3045 validation ≈ 0.2724 ( 89%) [ Info: [ 4%] LOSS: training ≈ 0.2997 validation ≈ 0.2669 ( 89%) [ Info: [ 4%] LOSS: training ≈ 0.2959 validation ≈ 0.2626 ( 89%) [ Info: [ 5%] LOSS: training ≈ 0.2929 validation ≈ 0.2592 ( 88%) [ Info: [ 6%] LOSS: training ≈ 0.2906 validation ≈ 0.2564 ( 88%) [ Info: [ 6%] LOSS: training ≈ 0.2886 validation ≈ 0.254 ( 88%) [ Info: [ 6%] LOSS: training ≈ 0.287 validation ≈ 0.252 ( 88%) [ Info: [ 7%] LOSS: training ≈ 0.2856 validation ≈ 0.2504 ( 88%) [ Info: [ 8%] LOSS: training ≈ 0.2844 validation ≈ 0.2489 ( 88%) [ Info: [ 8%] LOSS: training ≈ 0.2833 validation ≈ 0.2476 ( 87%) [ Info: [ 8%] LOSS: training ≈ 0.2824 validation ≈ 0.2465 ( 87%) [ Info: [ 9%] LOSS: training ≈ 0.2816 validation ≈ 0.2455 ( 87%) [ Info: [ 10%] LOSS: training ≈ 0.2809 validation ≈ 0.2446 ( 87%) [ Info: [ 10%] LOSS: training ≈ 0.2802 validation ≈ 0.2438 ( 87%) [ Info: [ 10%] LOSS: training ≈ 0.2797 validation ≈ 0.2431 ( 87%) [ Info: [ 11%] LOSS: training ≈ 0.2791 validation ≈ 0.2425 ( 87%) [ Info: [ 12%] LOSS: training ≈ 0.2786 validation ≈ 0.2419 ( 87%) [ Info: [ 12%] LOSS: training ≈ 0.2782 validation ≈ 0.2414 ( 87%) [ Info: [ 12%] LOSS: training ≈ 0.2777 validation ≈ 0.2409 ( 87%) [ Info: [ 13%] LOSS: training ≈ 0.2773 validation ≈ 0.2405 ( 87%) [ Info: [ 14%] LOSS: training ≈ 0.277 validation ≈ 0.2401 ( 87%) [ Info: [ 14%] LOSS: training ≈ 0.2766 validation ≈ 0.2397 ( 87%) [ Info: [ 14%] LOSS: training ≈ 0.2763 validation ≈ 0.2394 ( 87%) [ Info: [ 15%] LOSS: training ≈ 0.276 validation ≈ 0.2391 ( 87%) [ Info: [ 16%] LOSS: training ≈ 0.2757 validation ≈ 0.2388 ( 87%) [ Info: [ 16%] LOSS: training ≈ 0.2754 validation ≈ 0.2385 ( 87%) [ Info: [ 16%] LOSS: training ≈ 0.2752 validation ≈ 0.2383 ( 87%) [ Info: [ 17%] LOSS: training ≈ 0.2749 validation ≈ 0.238 ( 87%) [ Info: [ 18%] LOSS: training ≈ 0.2747 validation ≈ 0.2378 ( 87%) [ Info: [ 18%] LOSS: training ≈ 0.2744 validation ≈ 0.2377 ( 87%) [ Info: [ 18%] LOSS: training ≈ 0.2742 validation ≈ 0.2375 ( 87%) [ Info: [ 19%] LOSS: training ≈ 0.274 validation ≈ 0.2373 ( 87%) [ Info: [ 20%] LOSS: training ≈ 0.2738 validation ≈ 0.2372 ( 87%) [ Info: [ 20%] LOSS: training ≈ 0.2736 validation ≈ 0.237 ( 87%) [ Info: [ 20%] LOSS: training ≈ 0.2734 validation ≈ 0.2369 ( 87%) [ Info: [ 21%] LOSS: training ≈ 0.2733 validation ≈ 0.2368 ( 87%) [ Info: [ 22%] LOSS: training ≈ 0.2731 validation ≈ 0.2367 ( 87%) [ Info: [ 22%] LOSS: training ≈ 0.2729 validation ≈ 0.2366 ( 87%) [ Info: [ 22%] LOSS: training ≈ 0.2728 validation ≈ 0.2365 ( 87%) [ Info: [ 23%] LOSS: training ≈ 0.2726 validation ≈ 0.2364 ( 87%) [ Info: [ 24%] LOSS: training ≈ 0.2725 validation ≈ 0.2363 ( 87%) [ Info: [ 24%] LOSS: training ≈ 0.2723 validation ≈ 0.2363 ( 87%) [ Info: [ 24%] LOSS: training ≈ 0.2722 validation ≈ 0.2362 ( 87%) [ Info: [ 25%] LOSS: training ≈ 0.2721 validation ≈ 0.2361 ( 87%) [ Info: [ 26%] LOSS: training ≈ 0.2719 validation ≈ 0.2361 ( 87%) [ Info: [ 26%] LOSS: training ≈ 0.2718 validation ≈ 0.236 ( 87%) [ Info: [ 26%] LOSS: training ≈ 0.2717 validation ≈ 0.236 ( 87%) [ Info: [ 27%] LOSS: training ≈ 0.2716 validation ≈ 0.2359 ( 87%) [ Info: [ 28%] LOSS: training ≈ 0.2715 validation ≈ 0.2359 ( 87%) [ Info: [ 28%] LOSS: training ≈ 0.2714 validation ≈ 0.2359 ( 87%) [ Info: [ 28%] LOSS: training ≈ 0.2712 validation ≈ 0.2359 ( 87%) [ Info: [ 29%] LOSS: training ≈ 0.2711 validation ≈ 0.2358 ( 87%) [ Info: [ 30%] LOSS: training ≈ 0.271 validation ≈ 0.2358 ( 87%) [ Info: [ 30%] LOSS: training ≈ 0.2709 validation ≈ 0.2358 ( 87%) [ Info: [ 30%] LOSS: training ≈ 0.2708 validation ≈ 0.2358 ( 87%) [ Info: [ 31%] LOSS: training ≈ 0.2708 validation ≈ 0.2358 ( 87%) [ Info: [ 32%] LOSS: training ≈ 0.2707 validation ≈ 0.2358 ( 87%) [ Info: [ 32%] LOSS: training ≈ 0.2706 validation ≈ 0.2358 ( 87%) [ Info: [ 32%] LOSS: training ≈ 0.2705 validation ≈ 0.2358 ( 87%) [ Info: [ 33%] LOSS: training ≈ 0.2704 validation ≈ 0.2358 ( 87%) [ Info: [ 34%] LOSS: training ≈ 0.2703 validation ≈ 0.2358 ( 87%) [ Info: [ 34%] LOSS: training ≈ 0.2703 validation ≈ 0.2358 ( 87%) [ Info: [ 34%] LOSS: training ≈ 0.2702 validation ≈ 0.2358 ( 87%) [ Info: [ 35%] LOSS: training ≈ 0.2701 validation ≈ 0.2358 ( 87%) [ Info: [ 36%] LOSS: training ≈ 0.27 validation ≈ 0.2358 ( 87%) [ Info: [ 36%] LOSS: training ≈ 0.27 validation ≈ 0.2358 ( 87%) [ Info: [ 36%] LOSS: training ≈ 0.2699 validation ≈ 0.2358 ( 87%) [ Info: [ 37%] LOSS: training ≈ 0.2698 validation ≈ 0.2358 ( 87%) [ Info: [ 38%] LOSS: training ≈ 0.2698 validation ≈ 0.2358 ( 87%) [ Info: [ 38%] LOSS: training ≈ 0.2697 validation ≈ 0.2358 ( 87%) [ Info: [ 38%] LOSS: training ≈ 0.2696 validation ≈ 0.2358 ( 87%) [ Info: [ 39%] LOSS: training ≈ 0.2696 validation ≈ 0.2359 ( 87%) [ Info: [ 40%] LOSS: training ≈ 0.2695 validation ≈ 0.2359 ( 88%) [ Info: [ 40%] LOSS: training ≈ 0.2695 validation ≈ 0.2359 ( 88%) [ Info: [ 40%] LOSS: training ≈ 0.2694 validation ≈ 0.2359 ( 88%) [ Info: [ 41%] LOSS: training ≈ 0.2693 validation ≈ 0.2359 ( 88%) [ Info: [ 42%] LOSS: training ≈ 0.2693 validation ≈ 0.2359 ( 88%) [ Info: [ 42%] LOSS: training ≈ 0.2692 validation ≈ 0.236 ( 88%) [ Info: [ 42%] LOSS: training ≈ 0.2692 validation ≈ 0.236 ( 88%) [ Info: [ 43%] LOSS: training ≈ 0.2691 validation ≈ 0.236 ( 88%) [ Info: [ 44%] LOSS: training ≈ 0.2691 validation ≈ 0.236 ( 88%) [ Info: [ 44%] LOSS: training ≈ 0.269 validation ≈ 0.2361 ( 88%) [ Info: [ 44%] LOSS: training ≈ 0.269 validation ≈ 0.2361 ( 88%) [ Info: [ 45%] LOSS: training ≈ 0.269 validation ≈ 0.2361 ( 88%) [ Info: [ 46%] LOSS: training ≈ 0.2689 validation ≈ 0.2361 ( 88%) [ Info: [ 46%] LOSS: training ≈ 0.2689 validation ≈ 0.2362 ( 88%) [ Info: [ 46%] LOSS: training ≈ 0.2688 validation ≈ 0.2362 ( 88%) [ Info: [ 47%] LOSS: training ≈ 0.2688 validation ≈ 0.2362 ( 88%) [ Info: [ 48%] LOSS: training ≈ 0.2687 validation ≈ 0.2362 ( 88%) [ Info: [ 48%] LOSS: training ≈ 0.2687 validation ≈ 0.2363 ( 88%) [ Info: [ 48%] LOSS: training ≈ 0.2687 validation ≈ 0.2363 ( 88%) [ Info: [ 49%] LOSS: training ≈ 0.2686 validation ≈ 0.2363 ( 88%) [ Info: [ 50%] LOSS: training ≈ 0.2686 validation ≈ 0.2363 ( 88%) [ Info: [ 50%] LOSS: training ≈ 0.2686 validation ≈ 0.2364 ( 88%) [ Info: [ 50%] LOSS: training ≈ 0.2685 validation ≈ 0.2364 ( 88%) [ Info: [ 51%] LOSS: training ≈ 0.2685 validation ≈ 0.2364 ( 88%) [ Info: [ 52%] LOSS: training ≈ 0.2685 validation ≈ 0.2365 ( 88%) [ Info: [ 52%] LOSS: training ≈ 0.2684 validation ≈ 0.2365 ( 88%) [ Info: [ 52%] LOSS: training ≈ 0.2684 validation ≈ 0.2365 ( 88%) [ Info: [ 53%] LOSS: training ≈ 0.2684 validation ≈ 0.2365 ( 88%) [ Info: [ 54%] LOSS: training ≈ 0.2683 validation ≈ 0.2366 ( 88%) [ Info: [ 54%] LOSS: training ≈ 0.2683 validation ≈ 0.2366 ( 88%) [ Info: [ 55%] LOSS: training ≈ 0.2683 validation ≈ 0.2366 ( 88%) [ Info: [ 55%] LOSS: training ≈ 0.2682 validation ≈ 0.2367 ( 88%) [ Info: [ 56%] LOSS: training ≈ 0.2682 validation ≈ 0.2367 ( 88%) [ Info: [ 56%] LOSS: training ≈ 0.2682 validation ≈ 0.2367 ( 88%) [ Info: [ 56%] LOSS: training ≈ 0.2682 validation ≈ 0.2367 ( 88%) [ Info: [ 57%] LOSS: training ≈ 0.2681 validation ≈ 0.2368 ( 88%) [ Info: [ 57%] LOSS: training ≈ 0.2681 validation ≈ 0.2368 ( 88%) [ Info: [ 58%] LOSS: training ≈ 0.2681 validation ≈ 0.2368 ( 88%) [ Info: [ 58%] LOSS: training ≈ 0.2681 validation ≈ 0.2369 ( 88%) [ Info: [ 59%] LOSS: training ≈ 0.268 validation ≈ 0.2369 ( 88%) [ Info: [ 60%] LOSS: training ≈ 0.268 validation ≈ 0.2369 ( 88%) [ Info: [ 60%] LOSS: training ≈ 0.268 validation ≈ 0.2369 ( 88%) [ Info: [ 60%] LOSS: training ≈ 0.268 validation ≈ 0.237 ( 88%) [ Info: [ 61%] LOSS: training ≈ 0.2679 validation ≈ 0.237 ( 88%) [ Info: [ 62%] LOSS: training ≈ 0.2679 validation ≈ 0.237 ( 88%) [ Info: [ 62%] LOSS: training ≈ 0.2679 validation ≈ 0.2371 ( 88%) [ Info: [ 62%] LOSS: training ≈ 0.2679 validation ≈ 0.2371 ( 89%) [ Info: [ 63%] LOSS: training ≈ 0.2679 validation ≈ 0.2371 ( 89%) [ Info: [ 64%] LOSS: training ≈ 0.2678 validation ≈ 0.2371 ( 89%) [ Info: [ 64%] LOSS: training ≈ 0.2678 validation ≈ 0.2372 ( 89%) [ Info: [ 64%] LOSS: training ≈ 0.2678 validation ≈ 0.2372 ( 89%) [ Info: [ 65%] LOSS: training ≈ 0.2678 validation ≈ 0.2372 ( 89%) [ Info: [ 66%] LOSS: training ≈ 0.2678 validation ≈ 0.2373 ( 89%) [ Info: [ 66%] LOSS: training ≈ 0.2677 validation ≈ 0.2373 ( 89%) [ Info: [ 66%] LOSS: training ≈ 0.2677 validation ≈ 0.2373 ( 89%) [ Info: [ 67%] LOSS: training ≈ 0.2677 validation ≈ 0.2373 ( 89%) [ Info: [ 68%] LOSS: training ≈ 0.2677 validation ≈ 0.2374 ( 89%) [ Info: [ 68%] LOSS: training ≈ 0.2677 validation ≈ 0.2374 ( 89%) [ Info: [ 68%] LOSS: training ≈ 0.2677 validation ≈ 0.2374 ( 89%) [ Info: [ 69%] LOSS: training ≈ 0.2677 validation ≈ 0.2375 ( 89%) [ Info: [ 70%] LOSS: training ≈ 0.2676 validation ≈ 0.2375 ( 89%) [ Info: [ 70%] LOSS: training ≈ 0.2676 validation ≈ 0.2375 ( 89%) [ Info: [ 70%] LOSS: training ≈ 0.2676 validation ≈ 0.2375 ( 89%) [ Info: [ 71%] LOSS: training ≈ 0.2676 validation ≈ 0.2376 ( 89%) [ Info: [ 72%] LOSS: training ≈ 0.2676 validation ≈ 0.2376 ( 89%) [ Info: [ 72%] LOSS: training ≈ 0.2676 validation ≈ 0.2376 ( 89%) [ Info: [ 72%] LOSS: training ≈ 0.2676 validation ≈ 0.2376 ( 89%) [ Info: [ 73%] LOSS: training ≈ 0.2675 validation ≈ 0.2377 ( 89%) [ Info: [ 74%] LOSS: training ≈ 0.2675 validation ≈ 0.2377 ( 89%) [ Info: [ 74%] LOSS: training ≈ 0.2675 validation ≈ 0.2377 ( 89%) [ Info: [ 74%] LOSS: training ≈ 0.2675 validation ≈ 0.2377 ( 89%) [ Info: [ 75%] LOSS: training ≈ 0.2675 validation ≈ 0.2378 ( 89%) [ Info: [ 76%] LOSS: training ≈ 0.2675 validation ≈ 0.2378 ( 89%) [ Info: [ 76%] LOSS: training ≈ 0.2675 validation ≈ 0.2378 ( 89%) [ Info: [ 76%] LOSS: training ≈ 0.2675 validation ≈ 0.2378 ( 89%) [ Info: [ 77%] LOSS: training ≈ 0.2674 validation ≈ 0.2379 ( 89%) [ Info: [ 78%] LOSS: training ≈ 0.2674 validation ≈ 0.2379 ( 89%) [ Info: [ 78%] LOSS: training ≈ 0.2674 validation ≈ 0.2379 ( 89%) [ Info: [ 78%] LOSS: training ≈ 0.2674 validation ≈ 0.2379 ( 89%) [ Info: [ 79%] LOSS: training ≈ 0.2674 validation ≈ 0.238 ( 89%) [ Info: [ 80%] LOSS: training ≈ 0.2674 validation ≈ 0.238 ( 89%) [ Info: [ 80%] LOSS: training ≈ 0.2674 validation ≈ 0.238 ( 89%) [ Info: [ 80%] LOSS: training ≈ 0.2674 validation ≈ 0.238 ( 89%) [ Info: [ 81%] LOSS: training ≈ 0.2674 validation ≈ 0.2381 ( 89%) [ Info: [ 82%] LOSS: training ≈ 0.2674 validation ≈ 0.2381 ( 89%) [ Info: [ 82%] LOSS: training ≈ 0.2673 validation ≈ 0.2381 ( 89%) [ Info: [ 82%] LOSS: training ≈ 0.2673 validation ≈ 0.2381 ( 89%) [ Info: [ 83%] LOSS: training ≈ 0.2673 validation ≈ 0.2382 ( 89%) [ Info: [ 84%] LOSS: training ≈ 0.2673 validation ≈ 0.2382 ( 89%) [ Info: [ 84%] LOSS: training ≈ 0.2673 validation ≈ 0.2382 ( 89%) [ Info: [ 84%] LOSS: training ≈ 0.2673 validation ≈ 0.2382 ( 89%) [ Info: [ 85%] LOSS: training ≈ 0.2673 validation ≈ 0.2383 ( 89%) [ Info: [ 86%] LOSS: training ≈ 0.2673 validation ≈ 0.2383 ( 89%) [ Info: [ 86%] LOSS: training ≈ 0.2673 validation ≈ 0.2383 ( 89%) [ Info: [ 86%] LOSS: training ≈ 0.2673 validation ≈ 0.2383 ( 89%) [ Info: [ 87%] LOSS: training ≈ 0.2673 validation ≈ 0.2383 ( 89%) [ Info: [ 88%] LOSS: training ≈ 0.2673 validation ≈ 0.2384 ( 89%) [ Info: [ 88%] LOSS: training ≈ 0.2672 validation ≈ 0.2384 ( 89%) [ Info: [ 88%] LOSS: training ≈ 0.2672 validation ≈ 0.2384 ( 89%) [ Info: [ 89%] LOSS: training ≈ 0.2672 validation ≈ 0.2384 ( 89%) [ Info: [ 90%] LOSS: training ≈ 0.2672 validation ≈ 0.2385 ( 89%) [ Info: [ 90%] LOSS: training ≈ 0.2672 validation ≈ 0.2385 ( 89%) [ Info: [ 90%] LOSS: training ≈ 0.2672 validation ≈ 0.2385 ( 89%) [ Info: [ 91%] LOSS: training ≈ 0.2672 validation ≈ 0.2385 ( 89%) [ Info: [ 92%] LOSS: training ≈ 0.2672 validation ≈ 0.2385 ( 89%) [ Info: [ 92%] LOSS: training ≈ 0.2672 validation ≈ 0.2386 ( 89%) [ Info: [ 92%] LOSS: training ≈ 0.2672 validation ≈ 0.2386 ( 89%) [ Info: [ 93%] LOSS: training ≈ 0.2672 validation ≈ 0.2386 ( 89%) [ Info: [ 94%] LOSS: training ≈ 0.2672 validation ≈ 0.2386 ( 89%) [ Info: [ 94%] LOSS: training ≈ 0.2672 validation ≈ 0.2386 ( 89%) [ Info: [ 94%] LOSS: training ≈ 0.2672 validation ≈ 0.2387 ( 89%) [ Info: [ 95%] LOSS: training ≈ 0.2672 validation ≈ 0.2387 ( 89%) [ Info: [ 96%] LOSS: training ≈ 0.2672 validation ≈ 0.2387 ( 89%) [ Info: [ 96%] LOSS: training ≈ 0.2671 validation ≈ 0.2387 ( 89%) [ Info: [ 96%] LOSS: training ≈ 0.2671 validation ≈ 0.2387 ( 89%) [ Info: [ 97%] LOSS: training ≈ 0.2671 validation ≈ 0.2388 ( 89%) [ Info: [ 98%] LOSS: training ≈ 0.2671 validation ≈ 0.2388 ( 89%) [ Info: [ 98%] LOSS: training ≈ 0.2671 validation ≈ 0.2388 ( 89%) [ Info: [ 98%] LOSS: training ≈ 0.2671 validation ≈ 0.2388 ( 89%) [ Info: [ 99%] LOSS: training ≈ 0.2671 validation ≈ 0.2388 ( 89%) [ Info: [100%] LOSS: training ≈ 0.2671 validation ≈ 0.2389 ( 89%) [ Info: [100%] LOSS: training ≈ 0.2671 validation ≈ 0.2389 ( 89%) [ Info: [ 0%] LOSS: training ≈ 0.4458 [ Info: [ 1%] LOSS: training ≈ 0.367 [ Info: [ 2%] LOSS: training ≈ 0.3328 [ Info: [ 2%] LOSS: training ≈ 0.3142 [ Info: [ 2%] LOSS: training ≈ 0.3028 [ Info: [ 3%] LOSS: training ≈ 0.2952 [ Info: [ 4%] LOSS: training ≈ 0.2898 [ Info: [ 4%] LOSS: training ≈ 0.2858 [ Info: [ 4%] LOSS: training ≈ 0.2827 [ Info: [ 5%] LOSS: training ≈ 0.2804 [ Info: [ 6%] LOSS: training ≈ 0.2784 [ Info: [ 6%] LOSS: training ≈ 0.2768 [ Info: [ 6%] LOSS: training ≈ 0.2755 [ Info: [ 7%] LOSS: training ≈ 0.2744 [ Info: [ 8%] LOSS: training ≈ 0.2734 [ Info: [ 8%] LOSS: training ≈ 0.2725 [ Info: [ 8%] LOSS: training ≈ 0.2718 [ Info: [ 9%] LOSS: training ≈ 0.2711 [ Info: [ 10%] LOSS: training ≈ 0.2706 [ Info: [ 10%] LOSS: training ≈ 0.27 [ Info: [ 10%] LOSS: training ≈ 0.2695 [ Info: [ 11%] LOSS: training ≈ 0.2691 [ Info: [ 12%] LOSS: training ≈ 0.2687 [ Info: [ 12%] LOSS: training ≈ 0.2683 [ Info: [ 12%] LOSS: training ≈ 0.268 [ Info: [ 13%] LOSS: training ≈ 0.2677 [ Info: [ 14%] LOSS: training ≈ 0.2674 [ Info: [ 14%] LOSS: training ≈ 0.2671 [ Info: [ 14%] LOSS: training ≈ 0.2669 [ Info: [ 15%] LOSS: training ≈ 0.2666 [ Info: [ 16%] LOSS: training ≈ 0.2664 [ Info: [ 16%] LOSS: training ≈ 0.2662 [ Info: [ 16%] LOSS: training ≈ 0.266 [ Info: [ 17%] LOSS: training ≈ 0.2658 [ Info: [ 18%] LOSS: training ≈ 0.2656 [ Info: [ 18%] LOSS: training ≈ 0.2655 [ Info: [ 18%] LOSS: training ≈ 0.2653 [ Info: [ 19%] LOSS: training ≈ 0.2652 [ Info: [ 20%] LOSS: training ≈ 0.265 [ Info: [ 20%] LOSS: training ≈ 0.2649 [ Info: [ 20%] LOSS: training ≈ 0.2648 [ Info: [ 21%] LOSS: training ≈ 0.2646 [ Info: [ 22%] LOSS: training ≈ 0.2645 [ Info: [ 22%] LOSS: training ≈ 0.2644 [ Info: [ 22%] LOSS: training ≈ 0.2643 [ Info: [ 23%] LOSS: training ≈ 0.2642 [ Info: [ 24%] LOSS: training ≈ 0.2641 [ Info: [ 24%] LOSS: training ≈ 0.264 [ Info: [ 24%] LOSS: training ≈ 0.2639 [ Info: [ 25%] LOSS: training ≈ 0.2638 [ Info: [ 26%] LOSS: training ≈ 0.2637 [ Info: [ 26%] LOSS: training ≈ 0.2636 [ Info: [ 26%] LOSS: training ≈ 0.2635 [ Info: [ 27%] LOSS: training ≈ 0.2635 [ Info: [ 28%] LOSS: training ≈ 0.2634 [ Info: [ 28%] LOSS: training ≈ 0.2633 [ Info: [ 28%] LOSS: training ≈ 0.2633 [ Info: [ 29%] LOSS: training ≈ 0.2632 [ Info: [ 30%] LOSS: training ≈ 0.2631 [ Info: [ 30%] LOSS: training ≈ 0.2631 [ Info: [ 30%] LOSS: training ≈ 0.263 [ Info: [ 31%] LOSS: training ≈ 0.2629 [ Info: [ 32%] LOSS: training ≈ 0.2629 [ Info: [ 32%] LOSS: training ≈ 0.2628 [ Info: [ 32%] LOSS: training ≈ 0.2628 [ Info: [ 33%] LOSS: training ≈ 0.2627 [ Info: [ 34%] LOSS: training ≈ 0.2627 [ Info: [ 34%] LOSS: training ≈ 0.2626 [ Info: [ 34%] LOSS: training ≈ 0.2626 [ Info: [ 35%] LOSS: training ≈ 0.2625 [ Info: [ 36%] LOSS: training ≈ 0.2625 [ Info: [ 36%] LOSS: training ≈ 0.2625 [ Info: [ 36%] LOSS: training ≈ 0.2624 [ Info: [ 37%] LOSS: training ≈ 0.2624 [ Info: [ 38%] LOSS: training ≈ 0.2623 [ Info: [ 38%] LOSS: training ≈ 0.2623 [ Info: [ 38%] LOSS: training ≈ 0.2623 [ Info: [ 39%] LOSS: training ≈ 0.2622 [ Info: [ 40%] LOSS: training ≈ 0.2622 [ Info: [ 40%] LOSS: training ≈ 0.2622 [ Info: [ 40%] LOSS: training ≈ 0.2621 [ Info: [ 41%] LOSS: training ≈ 0.2621 [ Info: [ 42%] LOSS: training ≈ 0.2621 [ Info: [ 42%] LOSS: training ≈ 0.2621 [ Info: [ 42%] LOSS: training ≈ 0.262 [ Info: [ 43%] LOSS: training ≈ 0.262 [ Info: [ 44%] LOSS: training ≈ 0.262 [ Info: [ 44%] LOSS: training ≈ 0.2619 [ Info: [ 44%] LOSS: training ≈ 0.2619 [ Info: [ 45%] LOSS: training ≈ 0.2619 [ Info: [ 46%] LOSS: training ≈ 0.2619 [ Info: [ 46%] LOSS: training ≈ 0.2618 [ Info: [ 46%] LOSS: training ≈ 0.2618 [ Info: [ 47%] LOSS: training ≈ 0.2618 [ Info: [ 48%] LOSS: training ≈ 0.2618 [ Info: [ 48%] LOSS: training ≈ 0.2618 [ Info: [ 48%] LOSS: training ≈ 0.2617 [ Info: [ 49%] LOSS: training ≈ 0.2617 [ Info: [ 50%] LOSS: training ≈ 0.2617 [ Info: [ 50%] LOSS: training ≈ 0.2617 [ Info: [ 50%] LOSS: training ≈ 0.2617 [ Info: [ 51%] LOSS: training ≈ 0.2616 [ Info: [ 52%] LOSS: training ≈ 0.2616 [ Info: [ 52%] LOSS: training ≈ 0.2616 [ Info: [ 52%] LOSS: training ≈ 0.2616 [ Info: [ 53%] LOSS: training ≈ 0.2616 [ Info: [ 54%] LOSS: training ≈ 0.2616 [ Info: [ 54%] LOSS: training ≈ 0.2616 [ Info: [ 55%] LOSS: training ≈ 0.2615 [ Info: [ 55%] LOSS: training ≈ 0.2615 [ Info: [ 56%] LOSS: training ≈ 0.2615 [ Info: [ 56%] LOSS: training ≈ 0.2615 [ Info: [ 56%] LOSS: training ≈ 0.2615 [ Info: [ 57%] LOSS: training ≈ 0.2615 [ Info: [ 57%] LOSS: training ≈ 0.2615 [ Info: [ 58%] LOSS: training ≈ 0.2614 [ Info: [ 58%] LOSS: training ≈ 0.2614 [ Info: [ 59%] LOSS: training ≈ 0.2614 [ Info: [ 60%] LOSS: training ≈ 0.2614 [ Info: [ 60%] LOSS: training ≈ 0.2614 [ Info: [ 60%] LOSS: training ≈ 0.2614 [ Info: [ 61%] LOSS: training ≈ 0.2614 [ Info: [ 62%] LOSS: training ≈ 0.2614 [ Info: [ 62%] LOSS: training ≈ 0.2614 [ Info: [ 62%] LOSS: training ≈ 0.2613 [ Info: [ 63%] LOSS: training ≈ 0.2613 [ Info: [ 64%] LOSS: training ≈ 0.2613 [ Info: [ 64%] LOSS: training ≈ 0.2613 [ Info: [ 64%] LOSS: training ≈ 0.2613 [ Info: [ 65%] LOSS: training ≈ 0.2613 [ Info: [ 66%] LOSS: training ≈ 0.2613 [ Info: [ 66%] LOSS: training ≈ 0.2613 [ Info: [ 66%] LOSS: training ≈ 0.2613 [ Info: [ 67%] LOSS: training ≈ 0.2613 [ Info: [ 68%] LOSS: training ≈ 0.2613 [ Info: [ 68%] LOSS: training ≈ 0.2613 [ Info: [ 68%] LOSS: training ≈ 0.2613 [ Info: [ 69%] LOSS: training ≈ 0.2612 [ Info: [ 70%] LOSS: training ≈ 0.2612 [ Info: [ 70%] LOSS: training ≈ 0.2612 [ Info: [ 70%] LOSS: training ≈ 0.2612 [ Info: [ 71%] LOSS: training ≈ 0.2612 [ Info: [ 72%] LOSS: training ≈ 0.2612 [ Info: [ 72%] LOSS: training ≈ 0.2612 [ Info: [ 72%] LOSS: training ≈ 0.2612 [ Info: [ 73%] LOSS: training ≈ 0.2612 [ Info: [ 74%] LOSS: training ≈ 0.2612 [ Info: [ 74%] LOSS: training ≈ 0.2612 [ Info: [ 74%] LOSS: training ≈ 0.2612 [ Info: [ 75%] LOSS: training ≈ 0.2612 [ Info: [ 76%] LOSS: training ≈ 0.2612 [ Info: [ 76%] LOSS: training ≈ 0.2612 [ Info: [ 76%] LOSS: training ≈ 0.2612 [ Info: [ 77%] LOSS: training ≈ 0.2612 [ Info: [ 78%] LOSS: training ≈ 0.2611 [ Info: [ 78%] LOSS: training ≈ 0.2611 [ Info: [ 78%] LOSS: training ≈ 0.2611 [ Info: [ 79%] LOSS: training ≈ 0.2611 [ Info: [ 80%] LOSS: training ≈ 0.2611 [ Info: [ 80%] LOSS: training ≈ 0.2611 [ Info: [ 80%] LOSS: training ≈ 0.2611 [ Info: [ 81%] LOSS: training ≈ 0.2611 [ Info: [ 82%] LOSS: training ≈ 0.2611 [ Info: [ 82%] LOSS: training ≈ 0.2611 [ Info: [ 82%] LOSS: training ≈ 0.2611 [ Info: [ 83%] LOSS: training ≈ 0.2611 [ Info: [ 84%] LOSS: training ≈ 0.2611 [ Info: [ 84%] LOSS: training ≈ 0.2611 [ Info: [ 84%] LOSS: training ≈ 0.2611 [ Info: [ 85%] LOSS: training ≈ 0.2611 [ Info: [ 86%] LOSS: training ≈ 0.2611 [ Info: [ 86%] LOSS: training ≈ 0.2611 [ Info: [ 86%] LOSS: training ≈ 0.2611 [ Info: [ 87%] LOSS: training ≈ 0.2611 [ Info: [ 88%] LOSS: training ≈ 0.2611 [ Info: [ 88%] LOSS: training ≈ 0.2611 [ Info: [ 88%] LOSS: training ≈ 0.2611 [ Info: [ 89%] LOSS: training ≈ 0.2611 [ Info: [ 90%] LOSS: training ≈ 0.2611 [ Info: [ 90%] LOSS: training ≈ 0.2611 [ Info: [ 90%] LOSS: training ≈ 0.2611 [ Info: [ 91%] LOSS: training ≈ 0.2611 [ Info: [ 92%] LOSS: training ≈ 0.261 [ Info: [ 92%] LOSS: training ≈ 0.261 [ Info: [ 92%] LOSS: training ≈ 0.261 [ Info: [ 93%] LOSS: training ≈ 0.261 [ Info: [ 94%] LOSS: training ≈ 0.261 [ Info: [ 94%] LOSS: training ≈ 0.261 [ Info: [ 94%] LOSS: training ≈ 0.261 [ Info: [ 95%] LOSS: training ≈ 0.261 [ Info: [ 96%] LOSS: training ≈ 0.261 [ Info: [ 96%] LOSS: training ≈ 0.261 [ Info: [ 96%] LOSS: training ≈ 0.261 [ Info: [ 97%] LOSS: training ≈ 0.261 [ Info: [ 98%] LOSS: training ≈ 0.261 [ Info: [ 98%] LOSS: training ≈ 0.261 [ Info: [ 98%] LOSS: training ≈ 0.261 [ Info: [ 99%] LOSS: training ≈ 0.261 [ Info: [100%] LOSS: training ≈ 0.261 [ Info: [100%] LOSS: training ≈ 0.261 Test Summary: | Pass Total Time Package | 3521 3521 14m03.8s Testing SDeMo tests passed Testing completed after 916.6s PkgEval succeeded after 1145.36s