Package evaluation of NaiveGAflux on Julia 1.13.0-DEV.123 (e910e6fb06*) started at 2025-03-01T22:36:06.369 ################################################################################ # Set-up # Set-up completed after 0.25s ################################################################################ # Installation # Installing NaiveGAflux... Resolving package versions... Installed GPUArraysCore ─────────────── v0.2.0 Installed RealDot ───────────────────── v0.1.0 Installed IrrationalConstants ───────── v0.2.4 Installed Crayons ───────────────────── v4.1.1 Installed IRTools ───────────────────── v0.4.14 Installed Transducers ───────────────── v0.4.84 Installed MutableArithmetics ────────── v1.6.4 Installed MLCore ────────────────────── v1.0.0 Installed DiffRules ─────────────────── v1.15.1 Installed Adapt ─────────────────────── v4.2.0 Installed Functors ──────────────────── v0.4.12 Installed ShowCases ─────────────────── v0.1.0 Installed ContextVariablesX ─────────── v0.1.3 Installed ArgCheck ──────────────────── v2.4.0 Installed JSON ──────────────────────── v0.21.4 Installed MemPool ───────────────────── v0.3.9 Installed PrettyTables ──────────────── v2.4.0 Installed JSON3 ─────────────────────── v1.14.1 Installed PtrArrays ─────────────────── v1.3.0 Installed Preferences ───────────────── v1.4.3 Installed Accessors ─────────────────── v0.1.42 Installed Flux ──────────────────────── v0.14.25 Installed FLoopsBase ────────────────── v0.1.1 Installed IterTools ─────────────────── v1.10.0 Installed TableTraits ───────────────── v1.0.1 Installed DiffResults ───────────────── v1.1.0 Installed Bzip2_jll ─────────────────── v1.0.9+0 Installed SpecialFunctions ──────────── v2.5.0 Installed BenchmarkTools ────────────── v1.6.0 Installed CodecBzip2 ────────────────── v0.8.5 Installed ProgressLogging ───────────── v0.1.4 Installed NNlib ─────────────────────── v0.9.28 Installed NaiveNASflux ──────────────── v2.0.12 Installed Parsers ───────────────────── v2.8.1 Installed Tables ────────────────────── v1.12.0 Installed HashArrayMappedTries ──────── v0.2.0 Installed DataAPI ───────────────────── v1.16.0 Installed Baselet ───────────────────── v0.1.1 Installed AbstractFFTs ──────────────── v1.5.0 Installed Setfield ──────────────────── v1.1.2 Installed StaticArrays ──────────────── v1.9.13 Installed JLLWrappers ───────────────── v1.7.0 Installed StaticArraysCore ──────────── v1.4.3 Installed Optimisers ────────────────── v0.3.4 Installed Zygote ────────────────────── v0.6.75 Installed OneHotArrays ──────────────── v0.2.6 Installed NaNMath ───────────────────── v1.1.2 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed ConstructionBase ──────────── v1.5.8 Installed DataValueInterfaces ───────── v1.0.0 Installed DefineSingletons ──────────── v0.1.2 Installed MicroCollections ──────────── v0.2.0 Installed StructArrays ──────────────── v0.7.0 Installed PrecompileTools ───────────── v1.2.1 Installed JuMP ──────────────────────── v1.24.0 Installed LLVMExtra_jll ─────────────── v0.0.35+0 Installed NameResolution ────────────── v0.1.5 Installed ScopedValues ──────────────── v1.3.0 Installed OrderedCollections ────────── v1.8.0 Installed LaTeXStrings ──────────────── v1.4.0 Installed TranscodingStreams ────────── v0.11.3 Installed ChainRulesCore ────────────── v1.25.1 Installed MLDataDevices ─────────────── v1.5.3 Installed CEnum ─────────────────────── v0.5.0 Installed DelimitedFiles ────────────── v1.9.1 Installed InitialValues ─────────────── v0.3.1 Installed ForwardDiff ───────────────── v0.10.38 Installed GPUArrays ─────────────────── v11.2.2 Installed FillArrays ────────────────── v1.13.0 Installed Reexport ──────────────────── v1.2.2 Installed Statistics ────────────────── v1.11.1 Installed SplittablesBase ───────────── v0.1.15 Installed DataStructures ────────────── v0.18.20 Installed LogExpFunctions ───────────── v0.3.29 Installed Requires ──────────────────── v1.3.1 Installed CommonSubexpressions ──────── v0.3.1 Installed ChainRules ────────────────── v1.72.3 Installed AliasTables ───────────────── v1.1.3 Installed ZygoteRules ───────────────── v0.2.7 Installed KernelAbstractions ────────── v0.9.34 Installed HiGHS_jll ─────────────────── v1.9.0+0 Installed PackageExtensionCompat ────── v1.0.2 Installed MacroTools ────────────────── v0.5.15 Installed BangBang ──────────────────── v0.4.4 Installed PrettyPrint ───────────────── v0.2.0 Installed StatsAPI ──────────────────── v1.7.0 Installed MLStyle ───────────────────── v0.4.17 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed Compat ────────────────────── v4.16.0 Installed MLUtils ───────────────────── v0.4.7 Installed CompositionsBase ──────────── v0.1.2 Installed UnsafeAtomics ─────────────── v0.3.0 Installed SparseInverseSubset ───────── v0.1.2 Installed JuliaVariables ────────────── v0.2.4 Installed InverseFunctions ──────────── v0.1.17 Installed HiGHS ─────────────────────── v1.13.0 Installed CodecZlib ─────────────────── v0.7.8 Installed FLoops ────────────────────── v0.2.2 Installed StringManipulation ────────── v0.4.1 Installed SimpleTraits ──────────────── v0.9.4 Installed NaiveGAflux ───────────────── v0.11.2 Installed StatsBase ─────────────────── v0.34.4 Installed Missings ──────────────────── v1.2.0 Installed SortingAlgorithms ─────────── v1.2.1 Installed NaiveNASlib ───────────────── v2.1.1 Installed Atomix ────────────────────── v1.1.1 Installed StructTypes ───────────────── v1.11.0 Installed DocStringExtensions ───────── v0.9.3 Installed LLVM ──────────────────────── v9.2.0 Installed MathOptInterface ──────────── v1.37.0 Installing 4 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact Bzip2 503.5 KiB Installed artifact LLVMExtra 2.8 MiB Installed artifact HiGHS 2.0 MiB Updating `~/.julia/environments/v1.13/Project.toml` [81ede08e] + NaiveGAflux v0.11.2 Updating `~/.julia/environments/v1.13/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.2.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.4.0 [a9b6321e] + Atomix v1.1.1 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [6e4b80f9] + BenchmarkTools v1.6.0 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.3 [d360d2e6] + ChainRulesCore v1.25.1 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [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 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.3 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [1a297f60] + FillArrays v1.13.0 ⌅ [587475ba] + Flux v0.14.25 [f6369f11] + ForwardDiff v0.10.38 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.2.2 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [87dc4568] + HiGHS v1.13.0 [7869d1d1] + IRTools v0.4.14 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.1 [4076af6c] + JuMP v1.24.0 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.34 [929cbde3] + LLVM v9.2.0 [b964fa9f] + LaTeXStrings v1.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.7 [1914dd2f] + MacroTools v0.5.15 [b8f27783] + MathOptInterface v1.37.0 ⌅ [f9f48841] + MemPool v0.3.9 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.4 [872c559c] + NNlib v0.9.28 [77ba4419] + NaNMath v1.1.2 [81ede08e] + NaiveGAflux v0.11.2 ⌃ [85610aed] + NaiveNASflux v2.0.12 [bd45eb3e] + NaiveNASlib v2.1.1 [71a1bf82] + NameResolution v0.1.5 [0b1bfda6] + OneHotArrays v0.2.6 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.0 [65ce6f38] + PackageExtensionCompat v1.0.2 [69de0a69] + Parsers v2.8.1 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.4 [43287f4e] + PtrArrays v1.3.0 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e506255] + ScopedValues v1.3.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.4 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.0 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.0 [856f2bd8] + StructTypes v1.11.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.84 [013be700] + UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] + Zygote v0.6.75 [700de1a5] + ZygoteRules v0.2.7 [6e34b625] + Bzip2_jll v1.0.9+0 [8fd58aa0] + HiGHS_jll v1.9.0+0 [dad2f222] + LLVMExtra_jll v0.0.35+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+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 v1.12.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization 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 v8.11.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.5.0+2 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 16.84s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling packages... 1177.2 ms ✓ AbstractFFTs 790.1 ms ✓ LaTeXStrings 734.2 ms ✓ IteratorInterfaceExtensions 3765.0 ms ✓ UnsafeAtomics 897.1 ms ✓ StatsAPI 1517.6 ms ✓ InitialValues 811.8 ms ✓ CEnum 4453.4 ms ✓ FillArrays 877.1 ms ✓ InverseFunctions 1129.6 ms ✓ Statistics 801.2 ms ✓ PrettyPrint 845.1 ms ✓ ArgCheck 3627.3 ms ✓ ShowCases 1073.7 ms ✓ IterTools 4449.3 ms ✓ MacroTools 1130.7 ms ✓ OrderedCollections 1089.4 ms ✓ Requires 724.3 ms ✓ DataValueInterfaces 838.6 ms ✓ RealDot 771.6 ms ✓ Reexport 2251.3 ms ✓ IrrationalConstants 772.8 ms ✓ CompositionsBase 764.2 ms ✓ PtrArrays 1079.1 ms ✓ TranscodingStreams 841.0 ms ✓ HashArrayMappedTries 780.3 ms ✓ DefineSingletons 1028.1 ms ✓ NaNMath 997.8 ms ✓ DelimitedFiles 26839.7 ms ✓ MLStyle 929.4 ms ✓ ConstructionBase 840.3 ms ✓ DataAPI 732.7 ms ✓ PackageExtensionCompat 1961.9 ms ✓ Crayons 1251.0 ms ✓ ProgressLogging 1467.6 ms ✓ Functors 869.0 ms ✓ StaticArraysCore 1774.8 ms ✓ Baselet 1258.4 ms ✓ SuiteSparse 1693.3 ms ✓ StructTypes 1211.3 ms ✓ Preferences 1098.7 ms ✓ Compat 1320.5 ms ✓ DocStringExtensions 10637.9 ms ✓ MutableArithmetics 4008.5 ms ✓ AbstractFFTs → AbstractFFTsTestExt 832.3 ms ✓ TableTraits 1034.5 ms ✓ Atomix 5082.6 ms ✓ FillArrays → FillArraysSparseArraysExt 1973.9 ms ✓ InverseFunctions → InverseFunctionsTestExt 1042.2 ms ✓ InverseFunctions → InverseFunctionsDatesExt 1296.6 ms ✓ Statistics → SparseArraysExt 983.9 ms ✓ FillArrays → FillArraysStatisticsExt 884.7 ms ✓ NameResolution 1522.9 ms ✓ CommonSubexpressions 6574.1 ms ✓ IRTools 4101.6 ms ✓ SimpleTraits 924.5 ms ✓ Adapt 904.1 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 981.7 ms ✓ AliasTables 982.0 ms ✓ CodecZlib 775.5 ms ✓ ScopedValues 931.5 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 963.6 ms ✓ Missings 918.1 ms ✓ DiffResults 1296.5 ms ✓ SparseInverseSubset 1081.5 ms ✓ JLLWrappers 1022.6 ms ✓ PrecompileTools 928.3 ms ✓ Compat → CompatLinearAlgebraExt 1303.5 ms ✓ LogExpFunctions 1802.0 ms ✓ Tables 12192.1 ms ✓ JuliaVariables 1299.8 ms ✓ Adapt → AdaptSparseArraysExt 1113.1 ms ✓ GPUArraysCore 2955.7 ms ✓ Setfield 5011.5 ms ✓ Accessors 1284.2 ms ✓ Bzip2_jll 6866.4 ms ✓ LLVMExtra_jll 1252.1 ms ✓ OpenSpecFun_jll 1307.8 ms ✓ HiGHS_jll 16025.4 ms ✓ StaticArrays 3250.8 ms ✓ StringManipulation 27993.5 ms ✓ Parsers 6699.0 ms ✓ DataStructures 2921.6 ms ✓ ChainRulesCore 963.8 ms ✓ ContextVariablesX 1781.5 ms ✓ MLDataDevices 1012.0 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1626.1 ms ✓ StructArrays 4190.5 ms ✓ MLCore 4343.2 ms ✓ SplittablesBase 2277.2 ms ✓ Accessors → LinearAlgebraExt 2210.6 ms ✓ Accessors → TestExt 1215.3 ms ✓ CodecBzip2 24947.2 ms ✓ LLVM 5283.0 ms ✓ SpecialFunctions 1666.1 ms ✓ StaticArrays → StaticArraysStatisticsExt 1636.6 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1654.6 ms ✓ Adapt → AdaptStaticArraysExt 1859.4 ms ✓ Accessors → StaticArraysExt 31106.9 ms ✓ PrettyTables 20586.0 ms ✓ JSON3 4310.5 ms ✓ JSON 1391.4 ms ✓ MemPool 2462.3 ms ✓ SortingAlgorithms 1472.6 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 2530.8 ms ✓ ZygoteRules 3039.0 ms ✓ Optimisers 1108.4 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 3431.4 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1767.9 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 1094.2 ms ✓ FLoopsBase 1582.5 ms ✓ MLDataDevices → MLDataDevicesChainRulesCoreExt 1129.2 ms ✓ MLDataDevices → MLDataDevicesFillArraysExt 1465.3 ms ✓ MLDataDevices → MLDataDevicesSparseArraysExt 1032.9 ms ✓ StructArrays → StructArraysAdaptExt 1474.6 ms ✓ StructArrays → StructArraysSparseArraysExt 1901.9 ms ✓ StructArrays → StructArraysStaticArraysExt 1047.3 ms ✓ StructArrays → StructArraysLinearAlgebraExt 1315.0 ms ✓ Accessors → StructArraysExt 1625.5 ms ✓ BangBang 10329.3 ms ✓ UnsafeAtomics → UnsafeAtomicsLLVM 4402.5 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 1489.8 ms ✓ DiffRules 9126.2 ms ✓ KernelAbstractions 4446.4 ms ✓ BenchmarkTools 7613.4 ms ✓ StatsBase 17491.0 ms ✓ ChainRules 2312.2 ms ✓ BangBang → BangBangStaticArraysExt 1409.3 ms ✓ BangBang → BangBangChainRulesCoreExt 1301.7 ms ✓ BangBang → BangBangStructArraysExt 1236.4 ms ✓ BangBang → BangBangTablesExt 2322.9 ms ✓ MicroCollections 11422.9 ms ✓ ForwardDiff 3360.9 ms ✓ KernelAbstractions → SparseArraysExt 2707.9 ms ✓ KernelAbstractions → LinearAlgebraExt 2970.3 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 2240.7 ms ✓ MLDataDevices → MLDataDevicesChainRulesExt 9305.7 ms ✓ Transducers 4617.3 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 97779.1 ms ✓ MathOptInterface 17572.4 ms ✓ GPUArrays 17997.5 ms ✓ NNlib 2488.1 ms ✓ Transducers → TransducersAdaptExt 16638.9 ms ✓ FLoops 73295.2 ms ✓ JuMP 44666.2 ms ✓ HiGHS 8435.1 ms ✓ MLDataDevices → MLDataDevicesGPUArraysExt 77776.1 ms ✓ Zygote 3414.2 ms ✓ NNlib → NNlibSpecialFunctionsExt 3648.9 ms ✓ NNlib → NNlibForwardDiffExt 3927.0 ms ✓ OneHotArrays 23150.9 ms ✓ MLUtils 105725.0 ms ✓ NaiveNASlib 6005.6 ms ✓ MLDataDevices → MLDataDevicesZygoteExt 2992.2 ms ✓ MLDataDevices → MLDataDevicesOneHotArraysExt 6164.4 ms ✓ MLDataDevices → MLDataDevicesMLUtilsExt 23558.0 ms ✓ Flux 107768.4 ms ✓ NaiveNASflux ✗ NaiveGAflux 157 dependencies successfully precompiled in 1165 seconds. 37 already precompiled. 1 dependency had output during precompilation: ┌ Zygote │ WARNING: Constructor for type "Variable" was extended in `Zygote` without explicit qualification or import. │ NOTE: Assumed "Variable" refers to `IRTools.Variable`. 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 Variable end`. │ Hint: To silence the warning, qualify `Variable` as `IRTools.Variable` in the method signature or explicitly `import IRTools: Variable`. └ ERROR: LoadError: The following 1 direct dependency failed to precompile: NaiveGAflux Failed to precompile NaiveGAflux [81ede08e-ab29-11e9-16d3-79edd30a1d76] to "/home/pkgeval/.julia/compiled/v1.13/NaiveGAflux/jl_aIW6PL" (ProcessExited(1)). ERROR: LoadError: FieldError: type Stateful has no field `remaining`, available fields: `itr`, `nextvalstate` Stacktrace: [1] getproperty @ ./Base_compiler.jl:55 [inlined] [2] statevars(itr::Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:71 [3] NaiveGAflux.RepeatStatefulIterator(base::Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:56 [4] iterate(itr::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, reset::Bool) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:40 [5] iterate(itr::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:36 [6] NaiveGAflux.StatefulGenerationIter(iter::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, gen::Int64) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:108 [7] (::NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1")(iter::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, accf::NaiveGAflux.AggFitness{Tuple{NaiveGAflux.MapFitness{NaiveGAflux.AutoFlux.ImageClassification.var"#sizevs##0#sizevs##1"{Int64}, NaiveGAflux.AccuracyFitness{Base.Generator{NaiveGAflux.BatchIterator{NaiveGAflux.NoShuffle, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##2#_dataiter##3"{typeof(identity), typeof(identity)}}}}, NaiveGAflux.MapFitness{NaiveGAflux.AutoFlux.ImageClassification.var"#sizevs##2#sizevs##3"{Int64}, NaiveGAflux.SizeFitness}}}) @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/strategy.jl:64 [8] fitnessfun(s::NaiveGAflux.AutoFlux.ImageClassification.TrainSplitAccuracy{Float64, NaiveGAflux.AutoFlux.ImageClassification.BatchedIterConfig{typeof(identity), typeof(identity)}, typeof(NaiveGAflux.AutoFlux.ImageClassification.AccuracyVsSize), NaiveGAflux.AutoFlux.ImageClassification.TrainIterConfig{NaiveGAflux.AutoFlux.ImageClassification.ShuffleIterConfig{typeof(identity), typeof(identity)}}, NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1"}, x::Array{Float32, 4}, y::Matrix{Int64}) @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/strategy.jl:76 [9] fit(c::NaiveGAflux.AutoFlux.ImageClassification.ImageClassifier{NaiveGAflux.AutoFlux.ImageClassification.var"#58#59"{Int64, Bool, String, NTuple{4, Int64}, Int64}}, x::Array{Float32, 4}, y::Matrix{Int64}; cb::Function, fitnesstrategy::NaiveGAflux.AutoFlux.ImageClassification.TrainSplitAccuracy{Float64, NaiveGAflux.AutoFlux.ImageClassification.BatchedIterConfig{typeof(identity), typeof(identity)}, typeof(NaiveGAflux.AutoFlux.ImageClassification.AccuracyVsSize), NaiveGAflux.AutoFlux.ImageClassification.TrainIterConfig{NaiveGAflux.AutoFlux.ImageClassification.ShuffleIterConfig{typeof(identity), typeof(identity)}}, NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1"}, evolutionstrategy::NaiveGAflux.AutoFlux.ImageClassification.EliteAndTournamentSelection{Float64, NaiveGAflux.AutoFlux.ImageClassification.var"#20#21"{Float64, Float64}}, stopcriterion::Function) @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/ImageClassification.jl:82 [10] (::NaiveGAflux.var"#446#447")() @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:7 [11] with_logstate(f::NaiveGAflux.var"#446#447", logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:534 [12] with_logger(f::Function, logger::Base.CoreLogging.NullLogger) @ Base.CoreLogging ./logging/logging.jl:644 [13] macro expansion @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:6 [inlined] [14] macro expansion @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:78 [inlined] [15] macro expansion @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:4 [inlined] [16] macro expansion @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:140 [inlined] [17] top-level scope @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:139 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:308 [19] top-level scope @ ~/.julia/packages/NaiveGAflux/I1rNn/src/NaiveGAflux.jl:133 [20] include(mod::Module, _path::String) @ Base ./Base.jl:307 [21] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) @ Base ./loading.jl:3004 [22] top-level scope @ stdin:6 [23] eval(m::Module, e::Any) @ Core ./boot.jl:488 [24] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2855 [25] include_string @ ./loading.jl:2865 [inlined] [26] exec_options(opts::Base.JLOptions) @ Base ./client.jl:326 [27] _start() @ Base ./client.jl:560 in expression starting at /home/pkgeval/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:3 in expression starting at /home/pkgeval/.julia/packages/NaiveGAflux/I1rNn/src/NaiveGAflux.jl:1 in expression starting at stdin: in expression starting at /PkgEval.jl/scripts/precompile.jl:37 Precompilation failed after 1173.9s ################################################################################ # Loading # Loading NaiveGAflux... Precompiling packages... Info Given NaiveGAflux was explicitly requested, output will be shown live  ERROR: LoadError: FieldError: type Stateful has no field `remaining`, available fields: `itr`, `nextvalstate` Stacktrace:  [1] getproperty  @ ./Base_compiler.jl:55 [inlined]  [2] statevars(itr::Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}})  @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:71  [3] NaiveGAflux.RepeatStatefulIterator(base::Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}})  @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:56  [4] iterate(itr::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, reset::Bool)  @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:40  [5] iterate(itr::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}})  @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:36  [6] NaiveGAflux.StatefulGenerationIter(iter::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, gen::Int64)  @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:108  [7] (::NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1")(iter::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, accf::NaiveGAflux.AggFitness{Tuple{NaiveGAflux.MapFitness{NaiveGAflux.AutoFlux.ImageClassification.var"#sizevs##0#sizevs##1"{Int64}, NaiveGAflux.AccuracyFitness{Base.Generator{NaiveGAflux.BatchIterator{NaiveGAflux.NoShuffle, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##2#_dataiter##3"{typeof(identity), typeof(identity)}}}}, NaiveGAflux.MapFitness{NaiveGAflux.AutoFlux.ImageClassification.var"#sizevs##2#sizevs##3"{Int64}, NaiveGAflux.SizeFitness}}})  @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/strategy.jl:64  [8] fitnessfun(s::NaiveGAflux.AutoFlux.ImageClassification.TrainSplitAccuracy{Float64, NaiveGAflux.AutoFlux.ImageClassification.BatchedIterConfig{typeof(identity), typeof(identity)}, typeof(NaiveGAflux.AutoFlux.ImageClassification.AccuracyVsSize), NaiveGAflux.AutoFlux.ImageClassification.TrainIterConfig{NaiveGAflux.AutoFlux.ImageClassification.ShuffleIterConfig{typeof(identity), typeof(identity)}}, NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1"}, x::Array{Float32, 4}, y::Matrix{Int64})  @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/strategy.jl:76  [9] fit(c::NaiveGAflux.AutoFlux.ImageClassification.ImageClassifier{NaiveGAflux.AutoFlux.ImageClassification.var"#58#59"{Int64, Bool, String, NTuple{4, Int64}, Int64}}, x::Array{Float32, 4}, y::Matrix{Int64}; cb::Function, fitnesstrategy::NaiveGAflux.AutoFlux.ImageClassification.TrainSplitAccuracy{Float64, NaiveGAflux.AutoFlux.ImageClassification.BatchedIterConfig{typeof(identity), typeof(identity)}, typeof(NaiveGAflux.AutoFlux.ImageClassification.AccuracyVsSize), NaiveGAflux.AutoFlux.ImageClassification.TrainIterConfig{NaiveGAflux.AutoFlux.ImageClassification.ShuffleIterConfig{typeof(identity), typeof(identity)}}, NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1"}, evolutionstrategy::NaiveGAflux.AutoFlux.ImageClassification.EliteAndTournamentSelection{Float64, NaiveGAflux.AutoFlux.ImageClassification.var"#20#21"{Float64, Float64}}, stopcriterion::Function)  @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/ImageClassification.jl:82  [10] (::NaiveGAflux.var"#446#447")()  @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:7  [11] with_logstate(f::NaiveGAflux.var"#446#447", logstate::Base.CoreLogging.LogState)  @ Base.CoreLogging ./logging/logging.jl:534  [12] with_logger(f::Function, logger::Base.CoreLogging.NullLogger)  @ Base.CoreLogging ./logging/logging.jl:644  [13] macro expansion  @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:6 [inlined]  [14] macro expansion  @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:78 [inlined]  [15] macro expansion  @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:4 [inlined]  [16] macro expansion  @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:140 [inlined]  [17] top-level scope  @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:139  [18] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:308  [19] top-level scope  @ ~/.julia/packages/NaiveGAflux/I1rNn/src/NaiveGAflux.jl:133  [20] include(mod::Module, _path::String)  @ Base ./Base.jl:307  [21] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3004  [22] top-level scope  @ stdin:6  [23] eval(m::Module, e::Any)  @ Core ./boot.jl:488  [24] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2855  [25] include_string  @ ./loading.jl:2865 [inlined]  [26] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:326  [27] _start()  @ Base ./client.jl:560 in expression starting at /home/pkgeval/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:3 in expression starting at /home/pkgeval/.julia/packages/NaiveGAflux/I1rNn/src/NaiveGAflux.jl:1 in expression starting at stdin:6 ✗ NaiveGAflux 0 dependencies successfully precompiled in 49 seconds. 194 already precompiled. ERROR: The following 1 direct dependency failed to precompile: NaiveGAflux Failed to precompile NaiveGAflux [81ede08e-ab29-11e9-16d3-79edd30a1d76] to "/home/pkgeval/.julia/compiled/v1.13/NaiveGAflux/jl_DwoxDe" (ProcessExited(1)). ERROR: LoadError: FieldError: type Stateful has no field `remaining`, available fields: `itr`, `nextvalstate` Stacktrace: [1] getproperty @ ./Base_compiler.jl:55 [inlined] [2] statevars(itr::Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:71 [3] NaiveGAflux.RepeatStatefulIterator(base::Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:56 [4] iterate(itr::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, reset::Bool) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:40 [5] iterate(itr::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:36 [6] NaiveGAflux.StatefulGenerationIter(iter::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, gen::Int64) @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/iterators.jl:108 [7] (::NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1")(iter::NaiveGAflux.RepeatPartitionIterator{Base.Iterators.Stateful{NaiveGAflux.SeedIterator{Random.MersenneTwister, Base.Iterators.Cycle{Base.Generator{NaiveGAflux.BatchIterator{Random.MersenneTwister, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##0#_dataiter##1"{typeof(identity), typeof(identity)}}}}, Union{Nothing, Tuple{Tuple{SubArray{Float32, 4, Array{Float32, 4}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}, SubArray{Int64, 2, Matrix{Int64}, Tuple{Base.Slice{Base.OneTo{Int64}}, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}, false}}, Tuple{Int64, SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true}}}}}}, accf::NaiveGAflux.AggFitness{Tuple{NaiveGAflux.MapFitness{NaiveGAflux.AutoFlux.ImageClassification.var"#sizevs##0#sizevs##1"{Int64}, NaiveGAflux.AccuracyFitness{Base.Generator{NaiveGAflux.BatchIterator{NaiveGAflux.NoShuffle, Tuple{Array{Float32, 4}, Matrix{Int64}}}, NaiveGAflux.AutoFlux.ImageClassification.var"#_dataiter##2#_dataiter##3"{typeof(identity), typeof(identity)}}}}, NaiveGAflux.MapFitness{NaiveGAflux.AutoFlux.ImageClassification.var"#sizevs##2#sizevs##3"{Int64}, NaiveGAflux.SizeFitness}}}) @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/strategy.jl:64 [8] fitnessfun(s::NaiveGAflux.AutoFlux.ImageClassification.TrainSplitAccuracy{Float64, NaiveGAflux.AutoFlux.ImageClassification.BatchedIterConfig{typeof(identity), typeof(identity)}, typeof(NaiveGAflux.AutoFlux.ImageClassification.AccuracyVsSize), NaiveGAflux.AutoFlux.ImageClassification.TrainIterConfig{NaiveGAflux.AutoFlux.ImageClassification.ShuffleIterConfig{typeof(identity), typeof(identity)}}, NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1"}, x::Array{Float32, 4}, y::Matrix{Int64}) @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/strategy.jl:76 [9] fit(c::NaiveGAflux.AutoFlux.ImageClassification.ImageClassifier{NaiveGAflux.AutoFlux.ImageClassification.var"#58#59"{Int64, Bool, String, NTuple{4, Int64}, Int64}}, x::Array{Float32, 4}, y::Matrix{Int64}; cb::Function, fitnesstrategy::NaiveGAflux.AutoFlux.ImageClassification.TrainSplitAccuracy{Float64, NaiveGAflux.AutoFlux.ImageClassification.BatchedIterConfig{typeof(identity), typeof(identity)}, typeof(NaiveGAflux.AutoFlux.ImageClassification.AccuracyVsSize), NaiveGAflux.AutoFlux.ImageClassification.TrainIterConfig{NaiveGAflux.AutoFlux.ImageClassification.ShuffleIterConfig{typeof(identity), typeof(identity)}}, NaiveGAflux.AutoFlux.ImageClassification.var"#TrainSplitAccuracy##0#TrainSplitAccuracy##1"}, evolutionstrategy::NaiveGAflux.AutoFlux.ImageClassification.EliteAndTournamentSelection{Float64, NaiveGAflux.AutoFlux.ImageClassification.var"#20#21"{Float64, Float64}}, stopcriterion::Function) @ NaiveGAflux.AutoFlux.ImageClassification ~/.julia/packages/NaiveGAflux/I1rNn/src/app/imageclassification/ImageClassification.jl:82 [10] (::NaiveGAflux.var"#446#447")() @ NaiveGAflux ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:7 [11] with_logstate(f::NaiveGAflux.var"#446#447", logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:534 [12] with_logger(f::Function, logger::Base.CoreLogging.NullLogger) @ Base.CoreLogging ./logging/logging.jl:644 [13] macro expansion @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:6 [inlined] [14] macro expansion @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:78 [inlined] [15] macro expansion @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:4 [inlined] [16] macro expansion @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:140 [inlined] [17] top-level scope @ ~/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:139 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:308 [19] top-level scope @ ~/.julia/packages/NaiveGAflux/I1rNn/src/NaiveGAflux.jl:133 [20] include(mod::Module, _path::String) @ Base ./Base.jl:307 [21] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) @ Base ./loading.jl:3004 [22] top-level scope @ stdin:6 [23] eval(m::Module, e::Any) @ Core ./boot.jl:488 [24] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2855 [25] include_string @ ./loading.jl:2865 [inlined] [26] exec_options(opts::Base.JLOptions) @ Base ./client.jl:326 [27] _start() @ Base ./client.jl:560 in expression starting at /home/pkgeval/.julia/packages/NaiveGAflux/I1rNn/src/precompile.jl:3 in expression starting at /home/pkgeval/.julia/packages/NaiveGAflux/I1rNn/src/NaiveGAflux.jl:1 in expression starting at stdin: Loading failed after 51.76s ERROR: LoadError: failed process: Process(`/opt/julia/bin/julia -C native -J/opt/julia/lib/julia/sys.so -g1 --check-bounds=yes --inline=yes --pkgimages=existing -e 'using NaiveGAflux'`, ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:598 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:513 [3] run(::Cmd) @ Base ./process.jl:510 [4] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:193 [5] include(mod::Module, _path::String) @ Base ./Base.jl:307 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:328 [7] _start() @ Base ./client.jl:560 in expression starting at /PkgEval.jl/scripts/evaluate.jl:184 PkgEval failed after 1269.01s: package fails to precompile