Package evaluation to test DataDrivenLux on Julia 1.14.0-DEV.50 (b60d1db399*) started at 2025-11-10T03:05:42.359 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.25s ################################################################################ # Installation # Installing DataDrivenLux... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [47881146] + DataDrivenLux v0.2.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.18.0 [c29ec348] + AbstractDifferentiation v0.6.2 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.22.0 [4c555306] + ArrayLayouts v1.12.0 [a9b6321e] + Atomix v1.1.2 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 [e2ed5e7c] + Bijections v0.2.2 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] + BlockArrays v1.9.1 [70df07ce] + BracketingNonlinearSolve v1.6.0 [2a0fbf3d] + CPUSummary v0.2.7 [96374032] + CRlibm v1.0.2 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [fb6a15b2] + CloseOpenIntervals v0.1.13 ⌅ [861a8166] + Combinatorics v1.0.2 [a80b9123] + CommonMark v0.9.1 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [b0b7db55] + ComponentArrays v0.15.30 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [2445eb08] + DataDrivenDiffEq v1.10.0 [47881146] + DataDrivenLux v0.2.2 [82cc6244] + DataInterpolations v8.6.1 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [2b5f629d] + DiffEqBase v6.190.3 [459566f4] + DiffEqCallbacks v4.10.1 [77a26b50] + DiffEqNoiseProcess v5.24.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.11 [8d63f2c5] + DispatchDoctor v0.4.26 [31c24e10] + Distributions v0.25.122 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.7.16 [7c1d4256] + DynamicPolynomials v0.6.4 [06fc5a27] + DynamicQuantities v1.10.0 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.15 [e2ba6199] + ExprTools v0.1.10 [21656369] + ExpressionExplorer v1.1.3 [55351af7] + ExproniconLite v0.10.14 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.2.0 [1a297f60] + FillArrays v1.15.0 [64ca27bc] + FindFirstFunctions v1.4.2 [6a86dc24] + FiniteDiff v2.29.0 [1fa38f19] + Format v1.3.7 ⌅ [f6369f11] + ForwardDiff v0.10.39 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [c27321d9] + Glob v1.3.1 [86223c79] + Graphs v1.13.1 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [3263718b] + ImplicitDiscreteSolve v1.2.0 [d25df0c9] + Inflate v0.1.5 [22cec73e] + InitialValues v0.3.1 [18e54dd8] + IntegerMathUtils v0.1.3 ⌅ [d1acc4aa] + IntervalArithmetic v0.22.36 [8197267c] + IntervalSets v0.7.12 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [ae98c720] + Jieko v0.2.1 [98e50ef6] + JuliaFormatter v2.2.0 ⌅ [70703baa] + JuliaSyntax v0.4.10 [b14d175d] + JuliaVariables v0.2.4 [ccbc3e58] + JumpProcesses v9.19.1 [63c18a36] + KernelAbstractions v0.9.39 [b964fa9f] + LaTeXStrings v1.4.0 [23fbe1c1] + Latexify v0.16.10 [10f19ff3] + LayoutPointers v0.1.17 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [b2108857] + Lux v1.25.0 [bb33d45b] + LuxCore v1.4.2 [82251201] + LuxLib v1.12.1 [c2834f40] + MLCore v1.0.0 [7e8f7934] + MLDataDevices v1.15.0 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [bb5d69b7] + MaybeInplace v0.1.4 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [961ee093] + ModelingToolkit v10.26.1 [2e0e35c7] + Moshi v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 [102ac46a] + MultivariatePolynomials v0.5.13 [d8a4904e] + MutableArithmetics v1.6.7 [d41bc354] + NLSolversBase v7.10.0 [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [be0214bd] + NonlinearSolveBase v2.2.0 [6fe1bfb0] + OffsetArrays v1.17.0 [429524aa] + Optim v1.13.2 [3bd65402] + Optimisers v0.4.6 [bac558e1] + OrderedCollections v1.8.1 [bbf590c4] + OrdinaryDiffEqCore v1.36.0 [90014a1f] + PDMats v0.11.36 [d96e819e] + Parameters v0.12.3 [e409e4f3] + PoissonRandom v0.4.7 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [8162dcfd] + PrettyPrint v0.2.0 [08abe8d2] + PrettyTables v3.1.0 [27ebfcd6] + Primes v0.5.7 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [a3311ec8] + ReactantCore v0.1.16 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.39.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [ae5879a3] + ResettableStacks v1.1.1 [79098fc4] + Rmath v0.9.0 [5eaf0fd0] + RoundingEmulator v0.2.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.16 [9dfe8606] + SCCNonlinearSolve v1.6.0 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.124.0 [19f34311] + SciMLJacobianOperators v0.1.11 [a6db7da4] + SciMLLogging v1.5.0 [c0aeaf25] + SciMLOperators v1.10.0 [431bcebd] + SciMLPublic v1.0.0 [53ae85a6] + SciMLStructures v1.7.0 [7e506255] + ScopedValues v1.5.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [727e6d20] + SimpleNonlinearSolve v2.9.0 [699a6c99] + SimpleTraits v0.9.5 [ce78b400] + SimpleUnPack v1.1.0 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.7 [4c63d2b9] + StatsFuns v1.5.2 [7792a7ef] + StrideArraysCore v0.5.8 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.2 [2efcf032] + SymbolicIndexingInterface v0.3.46 ⌃ [19f23fe9] + SymbolicLimits v0.2.3 ⌅ [d1185830] + SymbolicUtils v3.32.0 ⌅ [0c5d862f] + Symbolics v6.57.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [ed4db957] + TaskLocalValues v0.1.3 [8ea1fca8] + TermInterface v2.0.0 [1c621080] + TestItems v1.0.0 [8290d209] + ThreadingUtilities v0.5.5 [a759f4b9] + TimerOutputs v0.5.29 [28d57a85] + Transducers v0.4.85 [84d833dd] + TransformVariables v0.8.17 [410a4b4d] + Tricks v0.1.13 [781d530d] + TruncatedStacktraces v1.4.0 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [1986cc42] + Unitful v1.25.1 [a7c27f48] + Unityper v0.1.6 [013be700] + UnsafeAtomics v0.3.0 [d49dbf32] + WeightInitializers v1.2.2 [700de1a5] + ZygoteRules v0.2.7 [4e9b3aee] + CRlibm_jll v1.0.1+0 [61579ee1] + Ghostscript_jll v9.55.1+0 [aacddb02] + JpegTurbo_jll v3.1.3+0 [6cdc7f73] + OpenBLASConsistentFPCSR_jll v0.3.29+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+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 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [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 v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+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 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+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 8.59s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 1953.0 ms ✓ LuxCore 3809.0 ms ✓ RecursiveArrayTools 2725.9 ms ✓ MLDataDevices → MLDataDevicesChainRulesExt 6903.1 ms ✓ WeightInitializers 51970.6 ms ✓ SymbolicUtils 5230.0 ms ✓ ComponentArrays → ComponentArraysKernelAbstractionsExt 5062.2 ms ✓ Transducers → TransducersBlockArraysExt 2849.8 ms ✓ NNlib → NNlibSpecialFunctionsExt 3323.7 ms ✓ NNlib → NNlibForwardDiffExt 8416.0 ms ✓ DataInterpolations 2263.1 ms ✓ FastPower → FastPowerForwardDiffExt 5048.2 ms ✓ TransformVariables 2503.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 6901.8 ms ✓ AbstractDifferentiation → AbstractDifferentiationForwardDiffExt 1657.0 ms ✓ PreallocationTools → PreallocationToolsForwardDiffExt 24934.1 ms ✓ MLUtils 3025.9 ms ✓ IntervalArithmetic → IntervalArithmeticForwardDiffExt 9757.5 ms ✓ DistributionsAD 1641.0 ms ✓ LuxCore → LuxCoreChainRulesCoreExt 1073.4 ms ✓ LuxCore → LuxCoreSetfieldExt 1059.2 ms ✓ LuxCore → LuxCoreEnzymeCoreExt 1174.8 ms ✓ LuxCore → LuxCoreMLDataDevicesExt 1075.8 ms ✓ LuxCore → LuxCoreFunctorsExt 2148.5 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 1317.4 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTablesExt 2536.1 ms ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt 2953.5 ms ✓ RecursiveArrayTools → RecursiveArrayToolsKernelAbstractionsExt 2180.3 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 1456.7 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt 25715.9 ms ✓ SciMLBase 1655.2 ms ✓ MLDataDevices → MLDataDevicesRecursiveArrayToolsExt 1806.2 ms ✓ ComponentArrays → ComponentArraysRecursiveArrayToolsExt 2021.7 ms ✓ WeightInitializers → WeightInitializersChainRulesCoreExt 9718.5 ms ✓ SymbolicLimits 6936.4 ms ✓ DataInterpolations → DataInterpolationsChainRulesCoreExt 2311.4 ms ✓ TransformVariables → InverseFunctionsExt 3672.7 ms ✓ NLSolversBase 5740.4 ms ✓ MLDataDevices → MLDataDevicesMLUtilsExt 4534.8 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 13367.1 ms ✓ LuxLib 3574.5 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 4990.0 ms ✓ SciMLBase → SciMLBaseForwardDiffExt 3416.6 ms ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt 5496.7 ms ✓ SciMLBase → SciMLBaseDistributionsExt 4623.5 ms ✓ SciMLBase → SciMLBaseMLStyleExt 3385.9 ms ✓ SCCNonlinearSolve 3485.5 ms ✓ ComponentArrays → ComponentArraysSciMLBaseExt 6816.8 ms ✓ DiffEqBase 8476.3 ms ✓ LineSearches 35658.4 ms ✓ Lux 8127.1 ms ✓ SciMLJacobianOperators 64377.3 ms ✓ Symbolics 4261.4 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 5194.0 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 4085.5 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 4411.5 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 9529.6 ms ✓ DiffEqCallbacks 9665.0 ms ✓ OrdinaryDiffEqCore 11626.7 ms ✓ Optim 4318.0 ms ✓ Lux → LuxComponentArraysExt 7008.5 ms ✓ Lux → LuxMLUtilsExt 10543.2 ms ✓ LineSearch 15291.0 ms ✓ NonlinearSolveBase 20319.6 ms ✓ Symbolics → SymbolicsLuxExt 13381.6 ms ✓ Symbolics → SymbolicsForwardDiffExt 13374.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 19998.7 ms ✓ DataInterpolations → DataInterpolationsSymbolicsExt 3953.5 ms ✓ DiffEqCallbacks → DiffEqCallbacksFunctorsExt 8479.6 ms ✓ JumpProcesses 4133.7 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt 6359.9 ms ✓ DataInterpolations → DataInterpolationsOptimExt 10281.1 ms ✓ DiffEqNoiseProcess 3874.3 ms ✓ LineSearch → LineSearchLineSearchesExt 4055.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 3750.8 ms ✓ NonlinearSolveBase → NonlinearSolveBaseChainRulesCoreExt 3386.6 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 6910.4 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 9597.5 ms ✓ BracketingNonlinearSolve 13577.9 ms ✓ Symbolics → SymbolicsPreallocationToolsExt 9710.6 ms ✓ JumpProcesses → JumpProcessesKernelAbstractionsExt 4548.3 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 5074.0 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 23784.9 ms ✓ SimpleNonlinearSolve 4798.4 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 7315.8 ms ✓ ImplicitDiscreteSolve 317885.5 ms ✓ ModelingToolkit 64475.4 ms ✓ DataDrivenDiffEq 73081.2 ms ✓ DataDrivenLux 88 dependencies successfully precompiled in 1146 seconds. 323 already precompiled. Precompilation completed after 1141.43s ################################################################################ # Testing # Testing DataDrivenLux Status `/tmp/jl_rX83NZ/Project.toml` [c29ec348] AbstractDifferentiation v0.6.2 [d360d2e6] ChainRulesCore v1.26.0 [38540f10] CommonSolve v0.2.4 [b0b7db55] ComponentArrays v0.15.30 [2569d6c7] ConcreteStructs v0.2.3 [2445eb08] DataDrivenDiffEq v1.10.0 [47881146] DataDrivenLux v0.2.2 [31c24e10] Distributions v0.25.122 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [f6369f11] ForwardDiff v0.10.39 ⌅ [d1acc4aa] IntervalArithmetic v0.22.36 [3587e190] InverseFunctions v0.1.17 [b2108857] Lux v1.25.0 [bb33d45b] LuxCore v1.4.2 [429524aa] Optim v1.13.2 [3bd65402] Optimisers v0.4.6 [1dea7af3] OrdinaryDiffEq v6.103.0 [92933f4c] ProgressMeter v1.11.0 [1bc83da4] SafeTestsets v0.1.0 [efcf1570] Setfield v1.1.2 [860ef19b] StableRNGs v1.0.3 [2913bbd2] StatsBase v0.34.7 [84d833dd] TransformVariables v0.8.17 [d49dbf32] WeightInitializers v1.2.2 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_rX83NZ/Manifest.toml` [47edcb42] ADTypes v1.18.0 [c29ec348] AbstractDifferentiation v0.6.2 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.22.0 [4c555306] ArrayLayouts v1.12.0 [a9b6321e] Atomix v1.1.2 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.1 [70df07ce] BracketingNonlinearSolve v1.6.0 [2a0fbf3d] CPUSummary v0.2.7 [96374032] CRlibm v1.0.2 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [fb6a15b2] CloseOpenIntervals v0.1.13 ⌅ [861a8166] Combinatorics v1.0.2 [a80b9123] CommonMark v0.9.1 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [b0b7db55] ComponentArrays v0.15.30 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [2445eb08] DataDrivenDiffEq v1.10.0 [47881146] DataDrivenLux v0.2.2 [82cc6244] DataInterpolations v8.6.1 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [2b5f629d] DiffEqBase v6.190.3 [459566f4] DiffEqCallbacks v4.10.1 [77a26b50] DiffEqNoiseProcess v5.24.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.11 [8d63f2c5] DispatchDoctor v0.4.26 [31c24e10] Distributions v0.25.122 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 [5b8099bc] DomainSets v0.7.16 [7c1d4256] DynamicPolynomials v0.6.4 [06fc5a27] DynamicQuantities v1.10.0 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.15 [d4d017d3] ExponentialUtilities v1.27.0 [e2ba6199] ExprTools v0.1.10 [21656369] ExpressionExplorer v1.1.3 [55351af7] ExproniconLite v0.10.14 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [442a2c76] FastGaussQuadrature v1.1.0 [a4df4552] FastPower v1.2.0 [1a297f60] FillArrays v1.15.0 [64ca27bc] FindFirstFunctions v1.4.2 [6a86dc24] FiniteDiff v2.29.0 [1fa38f19] Format v1.3.7 ⌅ [f6369f11] ForwardDiff v0.10.39 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [c145ed77] GenericSchur v0.5.6 [c27321d9] Glob v1.3.1 [86223c79] Graphs v1.13.1 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3263718b] ImplicitDiscreteSolve v1.2.0 [d25df0c9] Inflate v0.1.5 [22cec73e] InitialValues v0.3.1 [18e54dd8] IntegerMathUtils v0.1.3 ⌅ [d1acc4aa] IntervalArithmetic v0.22.36 [8197267c] IntervalSets v0.7.12 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [ae98c720] Jieko v0.2.1 [98e50ef6] JuliaFormatter v2.2.0 ⌅ [70703baa] JuliaSyntax v0.4.10 [b14d175d] JuliaVariables v0.2.4 [ccbc3e58] JumpProcesses v9.19.1 [63c18a36] KernelAbstractions v0.9.39 [ba0b0d4f] Krylov v0.10.2 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.10 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.9.0 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [7ed4a6bd] LinearSolve v3.46.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [b2108857] Lux v1.25.0 [bb33d45b] LuxCore v1.4.2 [82251201] LuxLib v1.12.1 [c2834f40] MLCore v1.0.0 [7e8f7934] MLDataDevices v1.15.0 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [bb5d69b7] MaybeInplace v0.1.4 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [961ee093] ModelingToolkit v10.26.1 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [102ac46a] MultivariatePolynomials v0.5.13 [d8a4904e] MutableArithmetics v1.6.7 [d41bc354] NLSolversBase v7.10.0 [872c559c] NNlib v0.9.31 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [8913a72c] NonlinearSolve v4.12.0 [be0214bd] NonlinearSolveBase v2.2.0 [5959db7a] NonlinearSolveFirstOrder v1.10.0 [9a2c21bd] NonlinearSolveQuasiNewton v1.11.0 [26075421] NonlinearSolveSpectralMethods v1.6.0 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [3bd65402] Optimisers v0.4.6 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.103.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.5.0 [6ad6398a] OrdinaryDiffEqBDF v1.10.1 [bbf590c4] OrdinaryDiffEqCore v1.36.0 [50262376] OrdinaryDiffEqDefault v1.8.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.16.1 [9286f039] OrdinaryDiffEqExplicitRK v1.4.0 [e0540318] OrdinaryDiffEqExponentialRK v1.8.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.9.0 [5960d6e9] OrdinaryDiffEqFIRK v1.16.0 [101fe9f7] OrdinaryDiffEqFeagin v1.4.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.5.0 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.5.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.7.0 [521117fe] OrdinaryDiffEqLinear v1.6.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.6.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.7.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.15.0 [c9986a66] OrdinaryDiffEqNordsieck v1.4.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.6.0 [5b33eab2] OrdinaryDiffEqPRK v1.4.0 [04162be5] OrdinaryDiffEqQPRK v1.4.0 [af6ede74] OrdinaryDiffEqRKN v1.5.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.18.1 [2d112036] OrdinaryDiffEqSDIRK v1.7.0 [669c94d9] OrdinaryDiffEqSSPRK v1.7.0 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.6.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.4.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.7.0 [b1df2697] OrdinaryDiffEqTsit5 v1.5.0 [79d7bb75] OrdinaryDiffEqVerner v1.6.0 [90014a1f] PDMats v0.11.36 [d96e819e] Parameters v0.12.3 [e409e4f3] PoissonRandom v0.4.7 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [85a6dd25] PositiveFactorizations v0.2.4 [d236fae5] PreallocationTools v0.4.34 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v3.1.0 [27ebfcd6] Primes v0.5.7 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [a3311ec8] ReactantCore v0.1.16 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.39.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [ae5879a3] ResettableStacks v1.1.1 [79098fc4] Rmath v0.9.0 [5eaf0fd0] RoundingEmulator v0.2.1 [7e49a35a] RuntimeGeneratedFunctions v0.5.16 [9dfe8606] SCCNonlinearSolve v1.6.0 [94e857df] SIMDTypes v0.1.0 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.124.0 [19f34311] SciMLJacobianOperators v0.1.11 [a6db7da4] SciMLLogging v1.5.0 [c0aeaf25] SciMLOperators v1.10.0 [431bcebd] SciMLPublic v1.0.0 [53ae85a6] SciMLStructures v1.7.0 [7e506255] ScopedValues v1.5.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [727e6d20] SimpleNonlinearSolve v2.9.0 [699a6c99] SimpleTraits v0.9.5 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [0a514795] SparseMatrixColorings v0.4.23 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.3 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.7 [4c63d2b9] StatsFuns v1.5.2 [7792a7ef] StrideArraysCore v0.5.8 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.2 [2efcf032] SymbolicIndexingInterface v0.3.46 ⌃ [19f23fe9] SymbolicLimits v0.2.3 ⌅ [d1185830] SymbolicUtils v3.32.0 ⌅ [0c5d862f] Symbolics v6.57.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.3 [8ea1fca8] TermInterface v2.0.0 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [28d57a85] Transducers v0.4.85 [84d833dd] TransformVariables v0.8.17 [410a4b4d] Tricks v0.1.13 [781d530d] TruncatedStacktraces v1.4.0 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.25.1 [a7c27f48] Unityper v0.1.6 [013be700] UnsafeAtomics v0.3.0 [d49dbf32] WeightInitializers v1.2.2 [700de1a5] ZygoteRules v0.2.7 [4e9b3aee] CRlibm_jll v1.0.1+0 [61579ee1] Ghostscript_jll v9.55.1+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [aacddb02] JpegTurbo_jll v3.1.3+0 [856f044c] MKL_jll v2025.2.0+0 [6cdc7f73] OpenBLASConsistentFPCSR_jll v0.3.29+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [1317d2d5] oneTBB_jll v2022.0.0+1 [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 v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [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 v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+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 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+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: Finished loading packages Progress: 4%|█▋ | ETA: 0:02:22 Iterations: 2 RSS: [0.004850810486761594, 0.004850810486761594] Minimum: 0.004850810486761594 Maximum: 0.004850810486761594 Mode: 0.004850810486761594 Mean: 0.004850810486761594 Probabilities: Float32[0.16666667, 0.055555552]               Progress: 12%|████▉ | ETA: 0:01:03 Iterations: 6 RSS: [0.004850810486761594, 0.004850810486761594] Minimum: 0.004850810486761594 Maximum: 0.004850810486761594 Mode: 0.004850810486761594 Mean: 0.004850810486761594 Probabilities: Float32[0.16666667, 0.055555552]               Progress: 14%|█████▊ | ETA: 0:00:53 Iterations: 7 RSS: [0.004850810486761594, 0.004850810486761594] Minimum: 0.004850810486761594 Maximum: 0.004850810486761594 Mode: 0.004850810486761594 Mean: 0.004850810486761594 Probabilities: Float32[0.16666667, 0.055555552]               Progress: 34%|██████████████ | ETA: 0:00:18 Iterations: 17 RSS: [0.004850810486761594, 0.004850810486761594] Minimum: 0.004850810486761594 Maximum: 0.004850810486761594 Mode: 0.004850810486761594 Mean: 0.004850810486761594 Probabilities: Float32[0.16666667, 0.055555552]               Progress: 74%|██████████████████████████████▍ | ETA: 0:00:03 Iterations: 37 RSS: [0.004850810486761594, 0.004850810486761594] Minimum: 0.004850810486761594 Maximum: 0.004850810486761594 Mode: 0.004850810486761594 Mean: 0.004850810486761594 Probabilities: Float32[0.16666667, 0.055555552]               Progress: 100%|█████████████████████████████████████████| Time: 0:00:09 Iterations: 50 RSS: [0.004850810486761594, 0.004850810486761594] Minimum: 0.004850810486761594 Maximum: 0.004850810486761594 Mode: 0.004850810486761594 Mean: 0.004850810486761594 Probabilities: Float32[0.16666667, 0.055555552] Progress: 0%|▏ | ETA: 6:50:10 Iterations: 2 RSS: [2.502711489354747, 6.3564454446230245, 7.049347137859822, 7.049347137859822, 7.049347137859822] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.94218870246154 Mean: 87.41823496828734 Probabilities: Float32[0.07790735, 0.07790735, 0.079442255, 0.079442255, 0.079442255]                   Progress: 0%|▏ | ETA: 5:18:28 Iterations: 3 RSS: [2.502711489354747, 6.3564454446230245, 7.049347137859822, 7.049347137859822, 7.049347137859822] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.94218870246154 Mean: 87.41823496828734 Probabilities: Float32[0.079138234, 0.079138234, 0.08040262, 0.08040262, 0.08040262]                   Progress: 0%|▏ | ETA: 4:47:12 Iterations: 4 RSS: [2.502711489354747, 6.3564454446230245, 6.3564454446230245, 7.049347137859822, 7.049347137859822] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.94218870246154 Mean: 87.34894479896366 Probabilities: Float32[0.08043876, 0.08043876, 0.08043876, 0.08128374, 0.08128374]                   Progress: 0%|▎ | ETA: 4:16:13 Iterations: 5 RSS: [2.502711489354747, 6.3564454446230245, 6.3564454446230245, 6.3564454446230245, 7.049347137859822] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.94218870246154 Mean: 87.27965462963998 Probabilities: Float32[0.08178974, 0.08178974, 0.08178974, 0.08178974, 0.08210757]                   Progress: 1%|▎ | ETA: 3:56:31 Iterations: 6 RSS: [2.502711489354747, 6.3564454446230245, 6.3564454446230245, 6.3564454446230245, 6.3564454446230245] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.94218870246154 Mean: 87.2103644603163 Probabilities: Float32[0.08318328, 0.08318328, 0.08318328, 0.08318328, 0.08318328]                   Progress: 1%|▎ | ETA: 3:34:57 Iterations: 7 RSS: [2.502711489354747, 6.3564454446230245, 6.3564454446230245, 6.3564454446230245, 6.3564454446230245] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.94218870246154 Mean: 87.2103644603163 Probabilities: Float32[0.08461453, 0.08461453, 0.08461453, 0.08461453, 0.08461453]                   Progress: 1%|▍ | ETA: 3:21:44 Iterations: 8 RSS: [2.502711489354747, 2.502711489354747, 6.3564454446230245, 6.3564454446230245, 6.3564454446230245] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.24928700922473 Mean: 86.61712055681843 Probabilities: Float32[0.086080045, 0.086080045, 0.086080045, 0.086080045, 0.086080045]                   Progress: 1%|▍ | ETA: 3:07:02 Iterations: 9 RSS: [2.502711489354747, 2.502711489354747, 6.3564454446230245, 6.3564454446230245, 6.3564454446230245] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.24928700922473 Mean: 86.54783038749477 Probabilities: Float32[0.087587185, 0.087587185, 0.087587185, 0.087587185, 0.087587185]                   Progress: 1%|▍ | ETA: 2:58:14 Iterations: 10 RSS: [2.502711489354747, 2.502711489354747, 6.3564454446230245, 6.3564454446230245, 6.3564454446230245] Minimum: 83.39555305395642 Maximum: 87.94218870246154 Mode: 87.24928700922473 Mean: 86.54783038749477 Probabilities: Float32[0.089147136, 0.089147136, 0.089147136, 0.089147136, 0.089147136]                   Progress: 1%|▌ | ETA: 2:51:23 Iterations: 11 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 6.3564454446230245] Minimum: 83.39555305395642 Maximum: 87.24928700922473 Mode: 87.24928700922473 Mean: 86.07668137252881 Probabilities: Float32[0.09075991, 0.09075991, 0.08614997, 0.012965704, 0.09075991]                   Progress: 1%|▌ | ETA: 2:42:45 Iterations: 12 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.24928700922473 Mode: 83.39555305395642 Mean: 85.67482252688653 Probabilities: Float32[0.09238903, 0.09238903, 0.086969934, 0.086969934, 0.013307729]                   Progress: 1%|▌ | ETA: 2:35:29 Iterations: 13 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.24928700922473 Mode: 83.39555305395642 Mean: 85.67482252688653 Probabilities: Float32[0.09402856, 0.09402856, 0.088029526, 0.088029526, 0.013694748]                   Progress: 1%|▋ | ETA: 2:29:00 Iterations: 14 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.24928700922473 Mode: 83.39555305395642 Mean: 85.2894491313597 Probabilities: Float32[0.09569597, 0.09569597, 0.089234106, 0.089234106, 0.089234106]                   Progress: 2%|▋ | ETA: 2:22:25 Iterations: 15 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.24928700922473 Mode: 83.39555305395642 Mean: 84.90407573583288 Probabilities: Float32[0.09738861, 0.09738861, 0.09054937, 0.09054937, 0.09054937]                   Progress: 2%|▋ | ETA: 2:18:01 Iterations: 16 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.24928700922473 Mode: 83.39555305395642 Mean: 84.90407573583288 Probabilities: Float32[0.09912317, 0.09912317, 0.09195541, 0.09195541, 0.09195541]                   Progress: 2%|▊ | ETA: 2:12:54 Iterations: 17 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.24928700922473 Mode: 83.39555305395642 Mean: 84.89167984242744 Probabilities: Float32[0.10090322, 0.10090322, 0.093442455, 0.093442455, 0.093442455]                   Progress: 2%|▊ | ETA: 2:09:52 Iterations: 18 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.12532807517036 Mode: 83.39555305395642 Mean: 84.5063064469006 Probabilities: Float32[0.102727786, 0.102727786, 0.09500087, 0.09500087, 0.09500087]                   Progress: 2%|▊ | ETA: 2:06:32 Iterations: 19 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.12532807517036 Mode: 83.39555305395642 Mean: 84.5063064469006 Probabilities: Float32[0.10459374, 0.10459374, 0.09663006, 0.09663006, 0.09663006]                   Progress: 2%|▉ | ETA: 2:03:05 Iterations: 20 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.12532807517036 Mode: 83.39555305395642 Mean: 84.5063064469006 Probabilities: Float32[0.1064993, 0.1064993, 0.098324895, 0.098324895, 0.098324895]                   Progress: 2%|▉ | ETA: 1:58:55 Iterations: 21 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.5022168901906 Probabilities: Float32[0.10844229, 0.10844229, 0.10007973, 0.10007973, 0.10007973]                   Progress: 2%|▉ | ETA: 1:56:30 Iterations: 22 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.5022168901906 Probabilities: Float32[0.11042044, 0.11042044, 0.10188923, 0.10188923, 0.10188923]                   Progress: 2%|█ | ETA: 1:53:37 Iterations: 23 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.5022168901906 Probabilities: Float32[0.11243149, 0.11243149, 0.10374869, 0.10374869, 0.10374869]                   Progress: 2%|█ | ETA: 1:51:19 Iterations: 24 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.5022168901906 Probabilities: Float32[0.11447324, 0.11447324, 0.105653815, 0.105653815, 0.105653815]                   Progress: 2%|█ | ETA: 1:48:46 Iterations: 25 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.5022168901906 Probabilities: Float32[0.116543815, 0.116543815, 0.107601106, 0.107601106, 0.107601106]                   Progress: 3%|█▏ | ETA: 1:46:34 Iterations: 26 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.13332894477921 Probabilities: Float32[0.118641295, 0.118641295, 0.109587245, 0.109587245, 0.109587245]                   Progress: 3%|█▏ | ETA: 1:43:44 Iterations: 27 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.13332894477921 Probabilities: Float32[0.12076471, 0.12076471, 0.111629575, 0.111629575, 0.111629575]                   Progress: 3%|█▏ | ETA: 1:42:04 Iterations: 28 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.13332894477921 Probabilities: Float32[0.12291201, 0.12291201, 0.113723144, 0.113723144, 0.113723144]                   Progress: 3%|█▎ | ETA: 1:40:38 Iterations: 29 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 84.13332894477921 Probabilities: Float32[0.12508136, 0.12508136, 0.11586369, 0.11586369, 0.11586369]                   Progress: 3%|█▎ | ETA: 1:38:39 Iterations: 30 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 83.7644409993678 Probabilities: Float32[0.12727097, 0.12727097, 0.118047416, 0.118047416, 0.118047416]                   Progress: 3%|█▎ | ETA: 1:36:57 Iterations: 31 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 83.7644409993678 Probabilities: Float32[0.1294789, 0.1294789, 0.12029057, 0.12029057, 0.12029057]                   Progress: 3%|█▎ | ETA: 1:35:42 Iterations: 32 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 83.7644409993678 Probabilities: Float32[0.1317031, 0.1317031, 0.12258783, 0.12258783, 0.12258783]                   Progress: 3%|█▍ | ETA: 1:34:01 Iterations: 33 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 87.08443250807035 Mode: 83.39555305395642 Mean: 83.7644409993678 Probabilities: Float32[0.1339417, 0.1339417, 0.12493463, 0.12493463, 0.12493463]                   Progress: 3%|█▍ | ETA: 1:32:30 Iterations: 34 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.136193, 0.136193, 0.12732677, 0.12732677, 0.12732677]                   Progress: 4%|█▍ | ETA: 1:30:47 Iterations: 35 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.13849835, 0.13849835, 0.1297604, 0.1297604, 0.1297604]                   Progress: 4%|█▌ | ETA: 1:29:35 Iterations: 36 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.14085177, 0.14085177, 0.13223161, 0.13223161, 0.13223161]                   Progress: 4%|█▌ | ETA: 1:28:57 Iterations: 37 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.14324802, 0.14324802, 0.13473703, 0.13473703, 0.13473703]                   Progress: 4%|█▌ | ETA: 1:27:45 Iterations: 38 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.14568235, 0.14568235, 0.13727346, 0.13727346, 0.13727346]                   Progress: 4%|█▋ | ETA: 1:26:20 Iterations: 39 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.1481504, 0.1481504, 0.13983804, 0.13983804, 0.13983804]                   Progress: 4%|█▋ | ETA: 1:25:16 Iterations: 40 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.15064834, 0.15064834, 0.14242814, 0.14242814, 0.14242814]                   Progress: 4%|█▋ | ETA: 1:24:14 Iterations: 41 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.1531726, 0.1531726, 0.14504136, 0.14504136, 0.14504136]                   Progress: 4%|█▊ | ETA: 1:23:10 Iterations: 42 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.15571989, 0.15571989, 0.14767545, 0.14767545, 0.14767545]                   Progress: 4%|█▊ | ETA: 1:21:57 Iterations: 43 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.15828712, 0.15828712, 0.15032828, 0.15032828, 0.15032828]                   Progress: 4%|█▊ | ETA: 1:20:59 Iterations: 44 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.16087158, 0.16087158, 0.152998, 0.152998, 0.152998]                 Progress: 4%|█▉ | ETA: 1:19:58 Iterations: 45 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.16347057, 0.16347057, 0.15568276, 0.15568276, 0.15568276]                   Progress: 5%|█▉ | ETA: 1:18:31 Iterations: 46 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.16608164, 0.16608164, 0.15838085, 0.15838085, 0.15838085]                   Progress: 5%|█▉ | ETA: 1:17:42 Iterations: 47 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.16870247, 0.16870247, 0.16109067, 0.16109067, 0.16109067]                   Progress: 5%|██ | ETA: 1:16:48 Iterations: 48 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.17133093, 0.17133093, 0.16381077, 0.16381077, 0.16381077]                   Progress: 5%|██ | ETA: 1:15:37 Iterations: 49 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.173965, 0.173965, 0.16653983, 0.16653983, 0.16653983]                   Progress: 5%|██ | ETA: 1:14:35 Iterations: 50 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.17660265, 0.17660265, 0.16927637, 0.16927637, 0.16927637]                   Progress: 5%|██▏ | ETA: 1:13:43 Iterations: 51 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.17924215, 0.17924215, 0.17201924, 0.17201924, 0.17201924]                   Progress: 5%|██▏ | ETA: 1:12:55 Iterations: 52 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.18188173, 0.18188173, 0.1747673, 0.1747673, 0.1747673]                   Progress: 5%|██▏ | ETA: 1:12:09 Iterations: 53 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.18451975, 0.18451975, 0.17751941, 0.17751941, 0.17751941]                   Progress: 5%|██▎ | ETA: 1:11:15 Iterations: 54 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.18715464, 0.18715464, 0.1802745, 0.1802745, 0.1802745]                   Progress: 6%|██▎ | ETA: 1:10:13 Iterations: 55 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.18978484, 0.18978484, 0.18303154, 0.18303154, 0.18303154]                   Progress: 6%|██▎ | ETA: 1:09:16 Iterations: 56 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.1924091, 0.1924091, 0.18578972, 0.18578972, 0.18578972]                   Progress: 6%|██▍ | ETA: 1:08:31 Iterations: 57 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.19502585, 0.19502585, 0.188548, 0.188548, 0.188548]                 Progress: 6%|██▍ | ETA: 1:07:34 Iterations: 58 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.19763392, 0.19763392, 0.19130558, 0.19130558, 0.19130558]                   Progress: 6%|██▍ | ETA: 1:06:56 Iterations: 59 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.20023209, 0.20023209, 0.19406171, 0.19406171, 0.19406171]                   Progress: 6%|██▌ | ETA: 1:06:07 Iterations: 60 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.20281906, 0.20281906, 0.19681555, 0.19681555, 0.19681555]                   Progress: 6%|██▌ | ETA: 1:05:20 Iterations: 61 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.20539385, 0.20539385, 0.19956642, 0.19956642, 0.19956642]                   Progress: 6%|██▌ | ETA: 1:04:48 Iterations: 62 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.20795539, 0.20795539, 0.20231372, 0.20231372, 0.20231372]                   Progress: 6%|██▋ | ETA: 1:04:05 Iterations: 63 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.21050243, 0.21050243, 0.20505653, 0.20505653, 0.20505653]                   Progress: 6%|██▋ | ETA: 1:03:20 Iterations: 64 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.21303423, 0.21303423, 0.20779452, 0.20779452, 0.20779452]                   Progress: 6%|██▋ | ETA: 1:02:50 Iterations: 65 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.21554978, 0.21554978, 0.21052696, 0.21052696, 0.21052696]                   Progress: 7%|██▊ | ETA: 1:02:17 Iterations: 66 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.21804819, 0.21804819, 0.21325333, 0.21325333, 0.21325333]                   Progress: 7%|██▊ | ETA: 1:01:35 Iterations: 67 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.22052856, 0.22052856, 0.21597306, 0.21597306, 0.21597306]                   Progress: 7%|██▊ | ETA: 1:01:04 Iterations: 68 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.22299013, 0.22299013, 0.21868572, 0.21868572, 0.21868572]                   Progress: 7%|██▉ | ETA: 1:00:35 Iterations: 69 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.22543211, 0.22543211, 0.22139074, 0.22139074, 0.22139074]                   Progress: 7%|██▉ | ETA: 0:59:59 Iterations: 70 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.22785388, 0.22785388, 0.2240878, 0.2240878, 0.2240878]                   Progress: 7%|██▉ | ETA: 0:59:39 Iterations: 71 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.23025455, 0.23025455, 0.22677632, 0.22677632, 0.22677632]                   Progress: 7%|███ | ETA: 0:59:00 Iterations: 72 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.2326336, 0.2326336, 0.22945602, 0.22945602, 0.22945602]                   Progress: 7%|███ | ETA: 0:58:22 Iterations: 73 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.2349904, 0.2349904, 0.23212649, 0.23212649, 0.23212649]                   Progress: 7%|███ | ETA: 0:57:52 Iterations: 74 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.23732437, 0.23732437, 0.23478737, 0.23478737, 0.23478737]                   Progress: 8%|███▏ | ETA: 0:57:19 Iterations: 75 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.23963486, 0.23963486, 0.23743826, 0.23743826, 0.23743826]                   Progress: 8%|███▏ | ETA: 0:56:53 Iterations: 76 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.24192156, 0.24192156, 0.240079, 0.240079, 0.240079]                 Progress: 8%|███▏ | ETA: 0:56:27 Iterations: 77 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.24418378, 0.24418378, 0.24270913, 0.24270913, 0.24270913]                   Progress: 8%|███▎ | ETA: 0:55:50 Iterations: 78 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.2464211, 0.2464211, 0.24532837, 0.24532837, 0.24532837]                   Progress: 8%|███▎ | ETA: 0:55:23 Iterations: 79 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.24863327, 0.24863327, 0.24793665, 0.24793665, 0.24793665]                   Progress: 8%|███▎ | ETA: 0:55:01 Iterations: 80 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.25081962, 0.25081962, 0.25053343, 0.25053343, 0.25053343]                   Progress: 8%|███▍ | ETA: 0:54:27 Iterations: 81 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.25298014, 0.25298014, 0.2531188, 0.2531188, 0.2531188]                   Progress: 8%|███▍ | ETA: 0:54:04 Iterations: 82 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.25511414, 0.25511414, 0.25569227, 0.25569227, 0.25569227]                   Progress: 8%|███▍ | ETA: 0:53:32 Iterations: 83 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.25722164, 0.25722164, 0.2582539, 0.2582539, 0.2582539]                   Progress: 8%|███▌ | ETA: 0:52:59 Iterations: 84 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.25930208, 0.25930208, 0.2608032, 0.2608032, 0.2608032]                   Progress: 8%|███▌ | ETA: 0:52:34 Iterations: 85 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.2613554, 0.2613554, 0.2633402, 0.2633402, 0.2633402]                 Progress: 9%|███▌ | ETA: 0:52:14 Iterations: 86 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.26338142, 0.26338142, 0.26586485, 0.26586485, 0.26586485]                   Progress: 9%|███▋ | ETA: 0:51:53 Iterations: 87 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.26537973, 0.26537973, 0.26837668, 0.26837668, 0.26837668]                   Progress: 9%|███▋ | ETA: 0:51:30 Iterations: 88 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.2673504, 0.2673504, 0.27087587, 0.27087587, 0.27087587]                   Progress: 9%|███▋ | ETA: 0:51:10 Iterations: 89 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.2692931, 0.2692931, 0.27336207, 0.27336207, 0.27336207]                   Progress: 9%|███▊ | ETA: 0:50:51 Iterations: 90 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.27120775, 0.27120775, 0.2758352, 0.2758352, 0.2758352]                   Progress: 9%|███▊ | ETA: 0:50:30 Iterations: 91 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.2730943, 0.2730943, 0.27829525, 0.27829525, 0.27829525]                   Progress: 9%|███▊ | ETA: 0:50:09 Iterations: 92 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.27495274, 0.27495274, 0.28074217, 0.28074217, 0.28074217]                   Progress: 9%|███▉ | ETA: 0:49:51 Iterations: 93 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.27678296, 0.27678296, 0.28317577, 0.28317577, 0.28317577]                   Progress: 9%|███▉ | ETA: 0:49:29 Iterations: 94 RSS: [2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 83.39555305395642 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.39555305395642 Probabilities: Float32[0.27858484, 0.27858484, 0.2855959, 0.2855959, 0.2855959]                   Progress: 10%|███▉ | ETA: 0:49:12 Iterations: 95 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.28035852, 0.28035852, 0.28035852, 0.28800267, 0.28800267]                   Progress: 10%|███▉ | ETA: 0:48:52 Iterations: 96 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.2820519, 0.2820519, 0.2820519, 0.29016474, 0.29016474]                   Progress: 10%|████ | ETA: 0:48:29 Iterations: 97 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.28367466, 0.28367466, 0.28367466, 0.29210374, 0.29210374]                   Progress: 10%|████ | ETA: 0:48:07 Iterations: 98 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.285235, 0.285235, 0.285235, 0.2938392, 0.2938392]                 Progress: 10%|████ | ETA: 0:47:48 Iterations: 99 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.28674048, 0.28674048, 0.28674048, 0.29538962, 0.29538962]                   Progress: 10%|████▏ | ETA: 0:47:27 Iterations: 100 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.28819746, 0.28819746, 0.28819746, 0.29677144, 0.29677144]                   Progress: 10%|████▏ | ETA: 0:47:06 Iterations: 101 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.28961152, 0.28961152, 0.28961152, 0.2979998, 0.2979998]                   Progress: 10%|████▏ | ETA: 0:46:46 Iterations: 102 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.29098794, 0.29098794, 0.29098794, 0.29908887, 0.29908887]                   Progress: 10%|████▎ | ETA: 0:46:32 Iterations: 103 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.29233104, 0.29233104, 0.29233104, 0.30005118, 0.30005118]                   Progress: 10%|████▎ | ETA: 0:46:10 Iterations: 104 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.29364473, 0.29364473, 0.29364473, 0.30089834, 0.30089834]                   Progress: 10%|████▎ | ETA: 0:45:50 Iterations: 105 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.29493248, 0.29493248, 0.29493248, 0.30164093, 0.30164093]                   Progress: 11%|████▍ | ETA: 0:45:27 Iterations: 106 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.29619756, 0.29619756, 0.29619756, 0.30228862, 0.30228862]                   Progress: 11%|████▍ | ETA: 0:45:12 Iterations: 107 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.29744235, 0.29744235, 0.29744235, 0.3028499, 0.3028499]                   Progress: 11%|████▍ | ETA: 0:44:51 Iterations: 108 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.2986694, 0.2986694, 0.2986694, 0.3033328, 0.3033328]                 Progress: 11%|████▌ | ETA: 0:44:43 Iterations: 109 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.29988095, 0.29988095, 0.29988095, 0.3037446, 0.3037446]                   Progress: 11%|████▌ | ETA: 0:44:23 Iterations: 110 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.301079, 0.301079, 0.301079, 0.30409196, 0.30409196]                 Progress: 11%|████▌ | ETA: 0:44:06 Iterations: 111 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.30226502, 0.30226502, 0.30226502, 0.30438054, 0.30438054]                   Progress: 11%|████▋ | ETA: 0:43:51 Iterations: 112 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.30344075, 0.30344075, 0.30344075, 0.30461597, 0.30461597]                   Progress: 11%|████▋ | ETA: 0:43:36 Iterations: 113 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.30460733, 0.30460733, 0.30460733, 0.30480295, 0.30480295]                   Progress: 11%|████▋ | ETA: 0:43:22 Iterations: 114 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.30576628, 0.30576628, 0.30576628, 0.30494627, 0.30494627]                   Progress: 12%|████▊ | ETA: 0:43:05 Iterations: 115 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.30691826, 0.30691826, 0.30691826, 0.30504948, 0.30504948]                   Progress: 12%|████▊ | ETA: 0:42:46 Iterations: 116 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.30806452, 0.30806452, 0.30806452, 0.30511653, 0.30511653]                   Progress: 12%|████▊ | ETA: 0:42:31 Iterations: 117 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.30920604, 0.30920604, 0.30920604, 0.3051508, 0.3051508]                   Progress: 12%|████▉ | ETA: 0:42:12 Iterations: 118 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.31034333, 0.31034333, 0.31034333, 0.3051551, 0.3051551]                   Progress: 12%|████▉ | ETA: 0:41:59 Iterations: 119 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.31147707, 0.31147707, 0.31147707, 0.30513215, 0.30513215]                   Progress: 12%|████▉ | ETA: 0:41:44 Iterations: 120 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.31260806, 0.31260806, 0.31260806, 0.30508456, 0.30508456]                   Progress: 12%|█████ | ETA: 0:41:29 Iterations: 121 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.3137366, 0.3137366, 0.3137366, 0.30501428, 0.30501428]                   Progress: 12%|█████ | ETA: 0:41:14 Iterations: 122 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.3148635, 0.3148635, 0.3148635, 0.30492374, 0.30492374]                   Progress: 12%|█████ | ETA: 0:40:59 Iterations: 123 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.31598905, 0.31598905, 0.31598905, 0.30481452, 0.30481452]                   Progress: 12%|█████▏ | ETA: 0:40:43 Iterations: 124 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.3171134, 0.3171134, 0.3171134, 0.30468816, 0.30468816]                   Progress: 12%|█████▏ | ETA: 0:40:28 Iterations: 125 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.3182374, 0.3182374, 0.3182374, 0.30454654, 0.30454654]                   Progress: 13%|█████▏ | ETA: 0:40:14 Iterations: 126 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.31936094, 0.31936094, 0.31936094, 0.3043907, 0.3043907]                   Progress: 13%|█████▎ | ETA: 0:40:01 Iterations: 127 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.3204843, 0.3204843, 0.3204843, 0.30422187, 0.30422187]                   Progress: 13%|█████▎ | ETA: 0:39:46 Iterations: 128 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.321608, 0.321608, 0.321608, 0.3040414, 0.3040414]                 Progress: 13%|█████▎ | ETA: 0:39:31 Iterations: 129 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.32273218, 0.32273218, 0.32273218, 0.30385017, 0.30385017]                   Progress: 13%|█████▍ | ETA: 0:39:15 Iterations: 130 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.3238568, 0.3238568, 0.3238568, 0.30364904, 0.30364904]                   Progress: 13%|█████▍ | ETA: 0:38:59 Iterations: 131 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.32498217, 0.32498217, 0.32498217, 0.30343887, 0.30343887]                   Progress: 13%|█████▍ | ETA: 0:38:42 Iterations: 132 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.32610846, 0.32610846, 0.32610846, 0.30322048, 0.30322048]                   Progress: 13%|█████▌ | ETA: 0:38:26 Iterations: 133 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.32723576, 0.32723576, 0.32723576, 0.3029945, 0.3029945]                   Progress: 13%|█████▌ | ETA: 0:38:13 Iterations: 134 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.32836416, 0.32836416, 0.32836416, 0.30276152, 0.30276152]                   Progress: 14%|█████▌ | ETA: 0:37:58 Iterations: 135 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.32949367, 0.32949367, 0.32949367, 0.3025221, 0.3025221]                   Progress: 14%|█████▋ | ETA: 0:37:48 Iterations: 136 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.33062464, 0.33062464, 0.33062464, 0.30227688, 0.30227688]                   Progress: 14%|█████▋ | ETA: 0:37:38 Iterations: 137 RSS: [0.004850810486761597, 2.502711489354747, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.14576698606962 Probabilities: Float32[0.33175674, 0.33175674, 0.33175674, 0.30202603, 0.30202603]                   Progress: 14%|█████▋ | ETA: 0:37:24 Iterations: 138 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.33289048, 0.33289048, 0.33289048, 0.33289048, 0.3017704]                   Progress: 14%|█████▊ | ETA: 0:37:12 Iterations: 139 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.33404008, 0.33404008, 0.33404008, 0.33404008, 0.3014988]                   Progress: 14%|█████▊ | ETA: 0:37:02 Iterations: 140 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.33520445, 0.33520445, 0.33520445, 0.33520445, 0.30121285]                   Progress: 14%|█████▊ | ETA: 0:36:52 Iterations: 141 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.33638233, 0.33638233, 0.33638233, 0.33638233, 0.30091357]                   Progress: 14%|█████▉ | ETA: 0:36:41 Iterations: 142 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.33757287, 0.33757287, 0.33757287, 0.33757287, 0.3006024]                   Progress: 14%|█████▉ | ETA: 0:36:31 Iterations: 143 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.33877465, 0.33877465, 0.33877465, 0.33877465, 0.30027995]                   Progress: 14%|█████▉ | ETA: 0:36:18 Iterations: 144 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.33998734, 0.33998734, 0.33998734, 0.33998734, 0.29994753]                   Progress: 14%|██████ | ETA: 0:36:06 Iterations: 145 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.34120962, 0.34120962, 0.34120962, 0.34120962, 0.2996057]                   Progress: 15%|██████ | ETA: 0:35:53 Iterations: 146 RSS: [0.004850810486761597, 2.4399197417752574, 2.502711489354747, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13948781131167 Probabilities: Float32[0.34244123, 0.34244123, 0.34244123, 0.34244123, 0.2992555]                   Progress: 15%|██████ | ETA: 0:35:42 Iterations: 147 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.34368107, 0.34368107, 0.34368107, 0.34368107, 0.34368107]                   Progress: 15%|██████▏ | ETA: 0:35:33 Iterations: 148 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.34494397, 0.34494397, 0.34494397, 0.34494397, 0.34494397]                   Progress: 15%|██████▏ | ETA: 0:35:22 Iterations: 149 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.34622785, 0.34622785, 0.34622785, 0.34622785, 0.34622785]                   Progress: 15%|██████▏ | ETA: 0:35:09 Iterations: 150 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.34753102, 0.34753102, 0.34753102, 0.34753102, 0.34753102]                   Progress: 15%|██████▎ | ETA: 0:34:55 Iterations: 151 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.34885162, 0.34885162, 0.34885162, 0.34885162, 0.34885162]                   Progress: 15%|██████▎ | ETA: 0:34:44 Iterations: 152 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.35018873, 0.35018873, 0.35018873, 0.35018873, 0.35018873]                   Progress: 15%|██████▎ | ETA: 0:34:35 Iterations: 153 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.35154048, 0.35154048, 0.35154048, 0.35154048, 0.35154048]                   Progress: 15%|██████▍ | ETA: 0:34:24 Iterations: 154 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.3529057, 0.3529057, 0.3529057, 0.3529057, 0.3529057]                 Progress: 16%|██████▍ | ETA: 0:34:15 Iterations: 155 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.35428357, 0.35428357, 0.35428357, 0.35428357, 0.35428357]                   Progress: 16%|██████▍ | ETA: 0:34:05 Iterations: 156 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.3556728, 0.3556728, 0.3556728, 0.3556728, 0.3556728]                 Progress: 16%|██████▍ | ETA: 0:33:56 Iterations: 157 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.35707274, 0.35707274, 0.35707274, 0.35707274, 0.35707274]                   Progress: 16%|██████▌ | ETA: 0:33:46 Iterations: 158 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.35848233, 0.35848233, 0.35848233, 0.35848233, 0.35848233]                   Progress: 16%|██████▌ | ETA: 0:33:35 Iterations: 159 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.35990077, 0.35990077, 0.35990077, 0.35990077, 0.35990077]                   Progress: 16%|██████▌ | ETA: 0:33:23 Iterations: 160 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.36132723, 0.36132723, 0.36132723, 0.36132723, 0.36132723]                   Progress: 16%|██████▋ | ETA: 0:33:14 Iterations: 161 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.3627616, 0.3627616, 0.3627616, 0.3627616, 0.3627616]                 Progress: 16%|██████▋ | ETA: 0:33:04 Iterations: 162 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.36420253, 0.36420253, 0.36420253, 0.36420253, 0.36420253]                   Progress: 16%|██████▋ | ETA: 0:32:53 Iterations: 163 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.36565015, 0.36565015, 0.36565015, 0.36565015, 0.36565015]                   Progress: 16%|██████▊ | ETA: 0:32:45 Iterations: 164 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.3671036, 0.3671036, 0.3671036, 0.3671036, 0.3671036]                 Progress: 16%|██████▊ | ETA: 0:32:36 Iterations: 165 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.36856228, 0.36856228, 0.36856228, 0.36856228, 0.36856228]                   Progress: 17%|██████▊ | ETA: 0:32:25 Iterations: 166 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.502711489354747, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.13320863655372 Probabilities: Float32[0.37002614, 0.37002614, 0.37002614, 0.37002614, 0.37002614]                   Progress: 17%|██████▉ | ETA: 0:32:16 Iterations: 167 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.12692946179577 Probabilities: Float32[0.37149438, 0.37149438, 0.37149438, 0.37149438, 0.37149438]                   Progress: 17%|██████▉ | ETA: 0:32:08 Iterations: 168 RSS: [0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574, 2.502711489354747] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 83.12692946179577 Probabilities: Float32[0.37298357, 0.37298357, 0.37298357, 0.37298357, 0.37298357]                   Progress: 17%|██████▉ | ETA: 0:32:00 Iterations: 169 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 82.87714339390898 Probabilities: Float32[0.3744916, 0.3744916, 0.3744916, 0.3744916, 0.3744916]                 Progress: 17%|███████ | ETA: 0:31:50 Iterations: 170 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.39555305395642 Mean: 82.87714339390898 Probabilities: Float32[0.37612465, 0.37612465, 0.37612465, 0.37612465, 0.37612465]                   Progress: 17%|███████ | ETA: 0:31:42 Iterations: 171 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.37787095, 0.37787095, 0.37787095, 0.37787095, 0.37787095]                   Progress: 17%|███████ | ETA: 0:31:36 Iterations: 172 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.3797353, 0.3797353, 0.3797353, 0.3797353, 0.3797353]                 Progress: 17%|███████▏ | ETA: 0:31:28 Iterations: 173 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.38170657, 0.38170657, 0.38170657, 0.38170657, 0.38170657]                   Progress: 17%|███████▏ | ETA: 0:31:22 Iterations: 174 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.3837738, 0.3837738, 0.3837738, 0.3837738, 0.3837738]                 Progress: 18%|███████▏ | ETA: 0:31:16 Iterations: 175 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.38592774, 0.38592774, 0.38592774, 0.38592774, 0.38592774]                   Progress: 18%|███████▎ | ETA: 0:31:09 Iterations: 176 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.3881596, 0.3881596, 0.3881596, 0.3881596, 0.3881596]                 Progress: 18%|███████▎ | ETA: 0:31:03 Iterations: 177 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.39046162, 0.39046162, 0.39046162, 0.39046162, 0.39046162]                   Progress: 18%|███████▎ | ETA: 0:30:52 Iterations: 178 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.39282623, 0.39282623, 0.39282623, 0.39282623, 0.39282623]                   Progress: 18%|███████▍ | ETA: 0:30:43 Iterations: 179 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.39524728, 0.39524728, 0.39524728, 0.39524728, 0.39524728]                   Progress: 18%|███████▍ | ETA: 0:30:36 Iterations: 180 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.39771882, 0.39771882, 0.39771882, 0.39771882, 0.39771882]                   Progress: 18%|███████▍ | ETA: 0:30:25 Iterations: 181 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.4002353, 0.4002353, 0.4002353, 0.4002353, 0.4002353]                 Progress: 18%|███████▌ | ETA: 0:30:18 Iterations: 182 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.40279195, 0.40279195, 0.40279195, 0.40279195, 0.40279195]                   Progress: 18%|███████▌ | ETA: 0:30:10 Iterations: 183 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.405384, 0.405384, 0.405384, 0.405384, 0.405384]                 Progress: 18%|███████▌ | ETA: 0:30:03 Iterations: 184 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.40800774, 0.40800774, 0.40800774, 0.40800774, 0.40800774]                   Progress: 18%|███████▋ | ETA: 0:29:56 Iterations: 185 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.87086421915103 Probabilities: Float32[0.41065922, 0.41065922, 0.41065922, 0.41065922, 0.41065922]                   Progress: 19%|███████▋ | ETA: 0:29:47 Iterations: 186 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.41333503, 0.41333503, 0.41333503, 0.41333503, 0.41333503]                   Progress: 19%|███████▋ | ETA: 0:29:40 Iterations: 187 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.41604894, 0.41604894, 0.41604894, 0.41604894, 0.41604894]                   Progress: 19%|███████▊ | ETA: 0:29:34 Iterations: 188 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.4187967, 0.4187967, 0.4187967, 0.4187967, 0.4187967]                 Progress: 19%|███████▊ | ETA: 0:29:26 Iterations: 189 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.42157394, 0.42157394, 0.42157394, 0.42157394, 0.42157394]                   Progress: 19%|███████▊ | ETA: 0:29:19 Iterations: 190 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.42437688, 0.42437688, 0.42437688, 0.42437688, 0.42437688]                   Progress: 19%|███████▉ | ETA: 0:29:11 Iterations: 191 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.42720228, 0.42720228, 0.42720228, 0.42720228, 0.42720228]                   Progress: 19%|███████▉ | ETA: 0:29:02 Iterations: 192 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.4300469, 0.4300469, 0.4300469, 0.4300469, 0.4300469]                 Progress: 19%|███████▉ | ETA: 0:28:55 Iterations: 193 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.43290803, 0.43290803, 0.43290803, 0.43290803, 0.43290803]                   Progress: 19%|████████ | ETA: 0:28:48 Iterations: 194 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.43578276, 0.43578276, 0.43578276, 0.43578276, 0.43578276]                   Progress: 20%|████████ | ETA: 0:28:43 Iterations: 195 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.43866894, 0.43866894, 0.43866894, 0.43866894, 0.43866894]                   Progress: 20%|████████ | ETA: 0:28:34 Iterations: 196 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.44156435, 0.44156435, 0.44156435, 0.44156435, 0.44156435]                   Progress: 20%|████████▏ | ETA: 0:28:28 Iterations: 197 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.44446692, 0.44446692, 0.44446692, 0.44446692, 0.44446692]                   Progress: 20%|████████▏ | ETA: 0:28:19 Iterations: 198 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.86458504439308 Probabilities: Float32[0.4473748, 0.4473748, 0.4473748, 0.4473748, 0.4473748]                 Progress: 20%|████████▏ | ETA: 0:28:12 Iterations: 199 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.4502862, 0.4502862, 0.4502862, 0.4502862, 0.4502862]                 Progress: 20%|████████▎ | ETA: 0:28:05 Iterations: 200 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.45321733, 0.45321733, 0.45321733, 0.45321733, 0.45321733]                   Progress: 20%|████████▎ | ETA: 0:27:58 Iterations: 201 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.45616478, 0.45616478, 0.45616478, 0.45616478, 0.45616478]                   Progress: 20%|████████▎ | ETA: 0:27:51 Iterations: 202 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.45912558, 0.45912558, 0.45912558, 0.45912558, 0.45912558]                   Progress: 20%|████████▍ | ETA: 0:27:44 Iterations: 203 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.46209738, 0.46209738, 0.46209738, 0.46209738, 0.46209738]                   Progress: 20%|████████▍ | ETA: 0:27:37 Iterations: 204 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.46507758, 0.46507758, 0.46507758, 0.46507758, 0.46507758]                   Progress: 20%|████████▍ | ETA: 0:27:31 Iterations: 205 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.46806404, 0.46806404, 0.46806404, 0.46806404, 0.46806404]                   Progress: 21%|████████▌ | ETA: 0:27:26 Iterations: 206 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.4710548, 0.4710548, 0.4710548, 0.4710548, 0.4710548]                 Progress: 21%|████████▌ | ETA: 0:27:20 Iterations: 207 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.4740481, 0.4740481, 0.4740481, 0.4740481, 0.4740481]                 Progress: 21%|████████▌ | ETA: 0:27:14 Iterations: 208 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.477042, 0.477042, 0.477042, 0.477042, 0.477042]                 Progress: 21%|████████▋ | ETA: 0:27:06 Iterations: 209 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.48003513, 0.48003513, 0.48003513, 0.48003513, 0.48003513]                   Progress: 21%|████████▋ | ETA: 0:27:00 Iterations: 210 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.48302615, 0.48302615, 0.48302615, 0.48302615, 0.48302615]                   Progress: 21%|████████▋ | ETA: 0:26:53 Iterations: 211 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.4860136, 0.4860136, 0.4860136, 0.4860136, 0.4860136]                 Progress: 21%|████████▊ | ETA: 0:26:46 Iterations: 212 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.48899645, 0.48899645, 0.48899645, 0.48899645, 0.48899645]                   Progress: 21%|████████▊ | ETA: 0:26:40 Iterations: 213 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.49197352, 0.49197352, 0.49197352, 0.49197352, 0.49197352]                   Progress: 21%|████████▊ | ETA: 0:26:35 Iterations: 214 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.49494407, 0.49494407, 0.49494407, 0.49494407, 0.49494407]                   Progress: 22%|████████▉ | ETA: 0:26:27 Iterations: 215 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.4979067, 0.4979067, 0.4979067, 0.4979067, 0.4979067]                 Progress: 22%|████████▉ | ETA: 0:26:19 Iterations: 216 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.5008613, 0.5008613, 0.5008613, 0.5008613, 0.5008613]                 Progress: 22%|████████▉ | ETA: 0:26:14 Iterations: 217 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.5038065, 0.5038065, 0.5038065, 0.5038065, 0.5038065]                 Progress: 22%|█████████ | ETA: 0:26:07 Iterations: 218 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.5067418, 0.5067418, 0.5067418, 0.5067418, 0.5067418]                 Progress: 22%|█████████ | ETA: 0:26:01 Iterations: 219 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.50966674, 0.50966674, 0.50966674, 0.50966674, 0.50966674]                   Progress: 22%|█████████ | ETA: 0:25:56 Iterations: 220 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.51258045, 0.51258045, 0.51258045, 0.51258045, 0.51258045]                   Progress: 22%|█████████ | ETA: 0:25:49 Iterations: 221 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.5154829, 0.5154829, 0.5154829, 0.5154829, 0.5154829]                 Progress: 22%|█████████▏ | ETA: 0:25:44 Iterations: 222 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.51837295, 0.51837295, 0.51837295, 0.51837295, 0.51837295]                   Progress: 22%|█████████▏ | ETA: 0:25:38 Iterations: 223 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.5212505, 0.5212505, 0.5212505, 0.5212505, 0.5212505]                 Progress: 22%|█████████▏ | ETA: 0:25:33 Iterations: 224 RSS: [0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.85830586963513 Probabilities: Float32[0.52411526, 0.52411526, 0.52411526, 0.52411526, 0.52411526]                   Progress: 22%|█████████▎ | ETA: 0:25:27 Iterations: 225 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.39555305395642 Mode: 83.33276130637695 Mean: 82.60851980174834 Probabilities: Float32[0.52696663, 0.52696663, 0.52696663, 0.52696663, 0.52696663]                   Progress: 23%|█████████▎ | ETA: 0:25:21 Iterations: 226 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5298932, 0.5298932, 0.5298932, 0.5298932, 0.5298932]                 Progress: 23%|█████████▎ | ETA: 0:25:16 Iterations: 227 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5328852, 0.5328852, 0.5328852, 0.5328852, 0.5328852]                 Progress: 23%|█████████▍ | ETA: 0:25:10 Iterations: 228 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5359332, 0.5359332, 0.5359332, 0.5359332, 0.5359332]                 Progress: 23%|█████████▍ | ETA: 0:25:05 Iterations: 229 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.53902906, 0.53902906, 0.53902906, 0.53902906, 0.53902906]                   Progress: 23%|█████████▍ | ETA: 0:25:00 Iterations: 230 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5421647, 0.5421647, 0.5421647, 0.5421647, 0.5421647]                 Progress: 23%|█████████▌ | ETA: 0:24:53 Iterations: 231 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5453332, 0.5453332, 0.5453332, 0.5453332, 0.5453332]                 Progress: 23%|█████████▌ | ETA: 0:24:47 Iterations: 232 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.54852843, 0.54852843, 0.54852843, 0.54852843, 0.54852843]                   Progress: 23%|█████████▌ | ETA: 0:24:43 Iterations: 233 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5517446, 0.5517446, 0.5517446, 0.5517446, 0.5517446]                 Progress: 23%|█████████▋ | ETA: 0:24:40 Iterations: 234 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5549764, 0.5549764, 0.5549764, 0.5549764, 0.5549764]                 Progress: 24%|█████████▋ | ETA: 0:24:34 Iterations: 235 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5582197, 0.5582197, 0.5582197, 0.5582197, 0.5582197]                 Progress: 24%|█████████▋ | ETA: 0:24:30 Iterations: 236 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5614693, 0.5614693, 0.5614693, 0.5614693, 0.5614693]                 Progress: 24%|█████████▊ | ETA: 0:24:23 Iterations: 237 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.5647224, 0.5647224, 0.5647224, 0.5647224, 0.5647224]                 Progress: 24%|█████████▊ | ETA: 0:24:20 Iterations: 238 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.6022406269904 Probabilities: Float32[0.56797504, 0.56797504, 0.56797504, 0.56797504, 0.56797504]                   Progress: 24%|█████████▊ | ETA: 0:24:15 Iterations: 239 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.35873373386156 Probabilities: Float32[0.5712245, 0.5712245, 0.5712245, 0.5712245, 0.5712245]                 Progress: 24%|█████████▉ | ETA: 0:24:10 Iterations: 240 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.35873373386156 Probabilities: Float32[0.5745451, 0.5745451, 0.5745451, 0.5745451, 0.5745451]                 Progress: 24%|█████████▉ | ETA: 0:24:04 Iterations: 241 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.35873373386156 Probabilities: Float32[0.5779258, 0.5779258, 0.5779258, 0.5779258, 0.5779258]                 Progress: 24%|█████████▉ | ETA: 0:24:00 Iterations: 242 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.35873373386156 Probabilities: Float32[0.58135515, 0.58135515, 0.58135515, 0.58135515, 0.58135515]                   Progress: 24%|██████████ | ETA: 0:23:52 Iterations: 243 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 2.4399197417752574] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 83.33276130637695 Mean: 82.35873373386156 Probabilities: Float32[0.584824, 0.584824, 0.584824, 0.584824, 0.584824]                 Progress: 24%|██████████ | ETA: 0:23:48 Iterations: 244 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.5883238, 0.5883238, 0.5883238, 0.5883238, 0.5883238]                 Progress: 24%|██████████ | ETA: 0:23:43 Iterations: 245 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.5919188, 0.5919188, 0.5919188, 0.5919188, 0.5919188]                 Progress: 25%|██████████▏ | ETA: 0:23:38 Iterations: 246 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.5955929, 0.5955929, 0.5955929, 0.5955929, 0.5955929]                 Progress: 25%|██████████▏ | ETA: 0:23:32 Iterations: 247 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.59933174, 0.59933174, 0.59933174, 0.59933174, 0.59933174]                   Progress: 25%|██████████▏ | ETA: 0:23:26 Iterations: 248 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.6031223, 0.6031223, 0.6031223, 0.6031223, 0.6031223]                 Progress: 25%|██████████▎ | ETA: 0:23:21 Iterations: 249 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.60695195, 0.60695195, 0.60695195, 0.60695195, 0.60695195]                   Progress: 25%|██████████▎ | ETA: 0:23:18 Iterations: 250 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.61081105, 0.61081105, 0.61081105, 0.61081105, 0.61081105]                   Progress: 25%|██████████▎ | ETA: 0:23:13 Iterations: 251 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.61468935, 0.61468935, 0.61468935, 0.61468935, 0.61468935]                   Progress: 25%|██████████▍ | ETA: 0:23:09 Iterations: 252 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.61857885, 0.61857885, 0.61857885, 0.61857885, 0.61857885]                   Progress: 25%|██████████▍ | ETA: 0:23:03 Iterations: 253 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.62247145, 0.62247145, 0.62247145, 0.62247145, 0.62247145]                   Progress: 25%|██████████▍ | ETA: 0:22:58 Iterations: 254 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.62636065, 0.62636065, 0.62636065, 0.62636065, 0.62636065]                   Progress: 26%|██████████▌ | ETA: 0:22:54 Iterations: 255 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.630241, 0.630241, 0.630241, 0.630241, 0.630241]                 Progress: 26%|██████████▌ | ETA: 0:22:48 Iterations: 256 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.63410556, 0.63410556, 0.63410556, 0.63410556, 0.63410556]                   Progress: 26%|██████████▌ | ETA: 0:22:44 Iterations: 257 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.6379514, 0.6379514, 0.6379514, 0.6379514, 0.6379514]                 Progress: 26%|██████████▋ | ETA: 0:22:39 Iterations: 258 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.64177316, 0.64177316, 0.64177316, 0.64177316, 0.64177316]                   Progress: 26%|██████████▋ | ETA: 0:22:35 Iterations: 259 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.6455677, 0.6455677, 0.6455677, 0.6455677, 0.6455677]                 Progress: 26%|██████████▋ | ETA: 0:22:30 Iterations: 260 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 82.1152268407327 Probabilities: Float32[0.6493314, 0.6493314, 0.6493314, 0.6493314, 0.6493314]                 Progress: 26%|██████████▊ | ETA: 0:22:26 Iterations: 261 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.6530621, 0.6530621, 0.6530621, 0.6530621, 0.6530621]                 Progress: 26%|██████████▊ | ETA: 0:22:22 Iterations: 262 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.6568131, 0.6568131, 0.6568131, 0.6568131, 0.6568131]                 Progress: 26%|██████████▊ | ETA: 0:22:16 Iterations: 263 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.66057485, 0.66057485, 0.66057485, 0.66057485, 0.66057485]                   Progress: 26%|██████████▉ | ETA: 0:22:11 Iterations: 264 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.6643385, 0.6643385, 0.6643385, 0.6643385, 0.6643385]                 Progress: 26%|██████████▉ | ETA: 0:22:08 Iterations: 265 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.66809744, 0.66809744, 0.66809744, 0.66809744, 0.66809744]                   Progress: 27%|██████████▉ | ETA: 0:22:04 Iterations: 266 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.6718445, 0.6718445, 0.6718445, 0.6718445, 0.6718445]                 Progress: 27%|███████████ | ETA: 0:21:59 Iterations: 267 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.67557335, 0.67557335, 0.67557335, 0.67557335, 0.67557335]                   Progress: 27%|███████████ | ETA: 0:21:54 Iterations: 268 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.6792798, 0.6792798, 0.6792798, 0.6792798, 0.6792798]                 Progress: 27%|███████████ | ETA: 0:21:49 Iterations: 269 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.68295866, 0.68295866, 0.68295866, 0.68295866, 0.68295866]                   Progress: 27%|███████████▏ | ETA: 0:21:44 Iterations: 270 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.6866066, 0.6866066, 0.6866066, 0.6866066, 0.6866066]                 Progress: 27%|███████████▏ | ETA: 0:21:38 Iterations: 271 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.69022, 0.69022, 0.69022, 0.69022, 0.69022]                 Progress: 27%|███████████▏ | ETA: 0:21:34 Iterations: 272 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.693796, 0.693796, 0.693796, 0.693796, 0.693796]                 Progress: 27%|███████████▎ | ETA: 0:21:28 Iterations: 273 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.69733244, 0.69733244, 0.69733244, 0.69733244, 0.69733244]                   Progress: 27%|███████████▎ | ETA: 0:21:24 Iterations: 274 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.70082647, 0.70082647, 0.70082647, 0.70082647, 0.70082647]                   Progress: 28%|███████████▎ | ETA: 0:21:18 Iterations: 275 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.70427674, 0.70427674, 0.70427674, 0.70427674, 0.70427674]                   Progress: 28%|███████████▍ | ETA: 0:21:14 Iterations: 276 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.7076817, 0.7076817, 0.7076817, 0.7076817, 0.7076817]                 Progress: 28%|███████████▍ | ETA: 0:21:10 Iterations: 277 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.7110412, 0.7110412, 0.7110412, 0.7110412, 0.7110412]                 Progress: 28%|███████████▍ | ETA: 0:21:05 Iterations: 278 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.7143528, 0.7143528, 0.7143528, 0.7143528, 0.7143528]                 Progress: 28%|███████████▌ | ETA: 0:21:01 Iterations: 279 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.717617, 0.717617, 0.717617, 0.717617, 0.717617]                 Progress: 28%|███████████▌ | ETA: 0:20:57 Iterations: 280 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.72083265, 0.72083265, 0.72083265, 0.72083265, 0.72083265]                   Progress: 28%|███████████▌ | ETA: 0:20:54 Iterations: 281 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.72399974, 0.72399974, 0.72399974, 0.72399974, 0.72399974]                   Progress: 28%|███████████▌ | ETA: 0:20:50 Iterations: 282 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.72711784, 0.72711784, 0.72711784, 0.72711784, 0.72711784]                   Progress: 28%|███████████▋ | ETA: 0:20:47 Iterations: 283 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.7301874, 0.7301874, 0.7301874, 0.7301874, 0.7301874]                 Progress: 28%|███████████▋ | ETA: 0:20:43 Iterations: 284 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.87171994760385 Probabilities: Float32[0.7332079, 0.7332079, 0.7332079, 0.7332079, 0.7332079]                 Progress: 28%|███████████▋ | ETA: 0:20:41 Iterations: 285 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.73618054, 0.73618054, 0.73618054, 0.73618054, 0.73618054]                   Progress: 29%|███████████▊ | ETA: 0:20:35 Iterations: 286 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.73914105, 0.73914105, 0.73914105, 0.73914105, 0.73914105]                   Progress: 29%|███████████▊ | ETA: 0:20:32 Iterations: 287 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.7420862, 0.7420862, 0.7420862, 0.7420862, 0.7420862]                 Progress: 29%|███████████▊ | ETA: 0:20:28 Iterations: 288 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.74501026, 0.74501026, 0.74501026, 0.74501026, 0.74501026]                   Progress: 29%|███████████▉ | ETA: 0:20:24 Iterations: 289 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.7479111, 0.7479111, 0.7479111, 0.7479111, 0.7479111]                 Progress: 29%|███████████▉ | ETA: 0:20:21 Iterations: 290 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.7507854, 0.7507854, 0.7507854, 0.7507854, 0.7507854]                 Progress: 29%|███████████▉ | ETA: 0:20:17 Iterations: 291 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.7536303, 0.7536303, 0.7536303, 0.7536303, 0.7536303]                 Progress: 29%|████████████ | ETA: 0:20:14 Iterations: 292 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.756444, 0.756444, 0.756444, 0.756444, 0.756444]                 Progress: 29%|████████████ | ETA: 0:20:10 Iterations: 293 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.75922465, 0.75922465, 0.75922465, 0.75922465, 0.75922465]                   Progress: 29%|████████████ | ETA: 0:20:05 Iterations: 294 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.76196945, 0.76196945, 0.76196945, 0.76196945, 0.76196945]                   Progress: 30%|████████████▏ | ETA: 0:20:02 Iterations: 295 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.628213054475 Probabilities: Float32[0.76467884, 0.76467884, 0.76467884, 0.76467884, 0.76467884]                   Progress: 30%|████████████▏ | ETA: 0:19:59 Iterations: 296 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.76735103, 0.76735103, 0.76735103, 0.76735103, 0.76735103]                   Progress: 30%|████████████▏ | ETA: 0:19:56 Iterations: 297 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.7700152, 0.7700152, 0.7700152, 0.7700152, 0.7700152]                 Progress: 30%|████████████▎ | ETA: 0:19:53 Iterations: 298 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.7726665, 0.7726665, 0.7726665, 0.7726665, 0.7726665]                 Progress: 30%|████████████▎ | ETA: 0:19:49 Iterations: 299 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.7753007, 0.7753007, 0.7753007, 0.7753007, 0.7753007]                 Progress: 30%|████████████▎ | ETA: 0:19:44 Iterations: 300 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.7779147, 0.7779147, 0.7779147, 0.7779147, 0.7779147]                 Progress: 30%|████████████▍ | ETA: 0:19:40 Iterations: 301 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.7805047, 0.7805047, 0.7805047, 0.7805047, 0.7805047]                 Progress: 30%|████████████▍ | ETA: 0:19:36 Iterations: 302 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.7830684, 0.7830684, 0.7830684, 0.7830684, 0.7830684]                 Progress: 30%|████████████▍ | ETA: 0:19:32 Iterations: 303 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.78560346, 0.78560346, 0.78560346, 0.78560346, 0.78560346]                   Progress: 30%|████████████▌ | ETA: 0:19:28 Iterations: 304 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.78810865, 0.78810865, 0.78810865, 0.78810865, 0.78810865]                   Progress: 30%|████████████▌ | ETA: 0:19:24 Iterations: 305 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.79058135, 0.79058135, 0.79058135, 0.79058135, 0.79058135]                   Progress: 31%|████████████▌ | ETA: 0:19:20 Iterations: 306 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.79302126, 0.79302126, 0.79302126, 0.79302126, 0.79302126]                   Progress: 31%|████████████▋ | ETA: 0:19:17 Iterations: 307 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.79542685, 0.79542685, 0.79542685, 0.79542685, 0.79542685]                   Progress: 31%|████████████▋ | ETA: 0:19:13 Iterations: 308 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.7977973, 0.7977973, 0.7977973, 0.7977973, 0.7977973]                 Progress: 31%|████████████▋ | ETA: 0:19:09 Iterations: 309 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.80013186, 0.80013186, 0.80013186, 0.80013186, 0.80013186]                   Progress: 31%|████████████▊ | ETA: 0:19:05 Iterations: 310 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.80243, 0.80243, 0.80243, 0.80243, 0.80243]                 Progress: 31%|████████████▊ | ETA: 0:19:02 Iterations: 311 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.80469203, 0.80469203, 0.80469203, 0.80469203, 0.80469203]                   Progress: 31%|████████████▊ | ETA: 0:18:57 Iterations: 312 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8069176, 0.8069176, 0.8069176, 0.8069176, 0.8069176]                 Progress: 31%|████████████▉ | ETA: 0:18:54 Iterations: 313 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8091071, 0.8091071, 0.8091071, 0.8091071, 0.8091071]                 Progress: 31%|████████████▉ | ETA: 0:18:50 Iterations: 314 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8112594, 0.8112594, 0.8112594, 0.8112594, 0.8112594]                 Progress: 32%|████████████▉ | ETA: 0:18:47 Iterations: 315 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8133752, 0.8133752, 0.8133752, 0.8133752, 0.8133752]                 Progress: 32%|█████████████ | ETA: 0:18:44 Iterations: 316 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8154557, 0.8154557, 0.8154557, 0.8154557, 0.8154557]                 Progress: 32%|█████████████ | ETA: 0:18:40 Iterations: 317 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8174992, 0.8174992, 0.8174992, 0.8174992, 0.8174992]                 Progress: 32%|█████████████ | ETA: 0:18:37 Iterations: 318 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.81950814, 0.81950814, 0.81950814, 0.81950814, 0.81950814]                   Progress: 32%|█████████████▏ | ETA: 0:18:33 Iterations: 319 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8214815, 0.8214815, 0.8214815, 0.8214815, 0.8214815]                 Progress: 32%|█████████████▏ | ETA: 0:18:30 Iterations: 320 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.82342094, 0.82342094, 0.82342094, 0.82342094, 0.82342094]                   Progress: 32%|█████████████▏ | ETA: 0:18:26 Iterations: 321 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.82532644, 0.82532644, 0.82532644, 0.82532644, 0.82532644]                   Progress: 32%|█████████████▎ | ETA: 0:18:23 Iterations: 322 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.82719725, 0.82719725, 0.82719725, 0.82719725, 0.82719725]                   Progress: 32%|█████████████▎ | ETA: 0:18:19 Iterations: 323 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8290365, 0.8290365, 0.8290365, 0.8290365, 0.8290365]                 Progress: 32%|█████████████▎ | ETA: 0:18:16 Iterations: 324 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.83084196, 0.83084196, 0.83084196, 0.83084196, 0.83084196]                   Progress: 32%|█████████████▍ | ETA: 0:18:13 Iterations: 325 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.83261687, 0.83261687, 0.83261687, 0.83261687, 0.83261687]                   Progress: 33%|█████████████▍ | ETA: 0:18:09 Iterations: 326 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8343597, 0.8343597, 0.8343597, 0.8343597, 0.8343597]                 Progress: 33%|█████████████▍ | ETA: 0:18:06 Iterations: 327 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.83607143, 0.83607143, 0.83607143, 0.83607143, 0.83607143]                   Progress: 33%|█████████████▌ | ETA: 0:18:02 Iterations: 328 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8377537, 0.8377537, 0.8377537, 0.8377537, 0.8377537]                 Progress: 33%|█████████████▌ | ETA: 0:17:58 Iterations: 329 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8394067, 0.8394067, 0.8394067, 0.8394067, 0.8394067]                 Progress: 33%|█████████████▌ | ETA: 0:17:55 Iterations: 330 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.84103066, 0.84103066, 0.84103066, 0.84103066, 0.84103066]                   Progress: 33%|█████████████▋ | ETA: 0:17:51 Iterations: 331 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8426257, 0.8426257, 0.8426257, 0.8426257, 0.8426257]                 Progress: 33%|█████████████▋ | ETA: 0:17:48 Iterations: 332 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.8441942, 0.8441942, 0.8441942, 0.8441942, 0.8441942]                 Progress: 33%|█████████████▋ | ETA: 0:17:44 Iterations: 333 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.38470616134614 Probabilities: Float32[0.84573483, 0.84573483, 0.84573483, 0.84573483, 0.84573483]                   Progress: 33%|█████████████▊ | ETA: 0:17:41 Iterations: 334 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.8472486, 0.8472486, 0.8472486, 0.8472486, 0.8472486]                 Progress: 34%|█████████████▊ | ETA: 0:17:37 Iterations: 335 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.84875244, 0.84875244, 0.84875244, 0.84875244, 0.84875244]                   Progress: 34%|█████████████▊ | ETA: 0:17:34 Iterations: 336 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.8502429, 0.8502429, 0.8502429, 0.8502429, 0.8502429]                 Progress: 34%|█████████████▉ | ETA: 0:17:30 Iterations: 337 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.8517193, 0.8517193, 0.8517193, 0.8517193, 0.8517193]                 Progress: 34%|█████████████▉ | ETA: 0:17:27 Iterations: 338 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.8531812, 0.8531812, 0.8531812, 0.8531812, 0.8531812]                 Progress: 34%|█████████████▉ | ETA: 0:17:23 Iterations: 339 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.8546271, 0.8546271, 0.8546271, 0.8546271, 0.8546271]                 Progress: 34%|██████████████ | ETA: 0:17:20 Iterations: 340 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.8560566, 0.8560566, 0.8560566, 0.8560566, 0.8560566]                 Progress: 34%|██████████████ | ETA: 0:17:17 Iterations: 341 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.85746926, 0.85746926, 0.85746926, 0.85746926, 0.85746926]                   Progress: 34%|██████████████ | ETA: 0:17:15 Iterations: 342 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.85886383, 0.85886383, 0.85886383, 0.85886383, 0.85886383]                   Progress: 34%|██████████████▏ | ETA: 0:17:12 Iterations: 343 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.86024106, 0.86024106, 0.86024106, 0.86024106, 0.86024106]                   Progress: 34%|██████████████▏ | ETA: 0:17:09 Iterations: 344 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.86160076, 0.86160076, 0.86160076, 0.86160076, 0.86160076]                   Progress: 34%|██████████████▏ | ETA: 0:17:05 Iterations: 345 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 83.33276130637695 Mode: 80.89769237508845 Mean: 81.1411992682173 Probabilities: Float32[0.8629408, 0.8629408, 0.8629408, 0.8629408, 0.8629408]                 Progress: 35%|██████████████▏ | ETA: 0:17:01 Iterations: 346 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8642636, 0.8642636, 0.8642636, 0.8642636, 0.8642636]                 Progress: 35%|██████████████▎ | ETA: 0:16:58 Iterations: 347 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8655788, 0.8655788, 0.8655788, 0.8655788, 0.8655788]                 Progress: 35%|██████████████▎ | ETA: 0:16:55 Iterations: 348 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8668864, 0.8668864, 0.8668864, 0.8668864, 0.8668864]                 Progress: 35%|██████████████▎ | ETA: 0:16:52 Iterations: 349 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.86818373, 0.86818373, 0.86818373, 0.86818373, 0.86818373]                   Progress: 35%|██████████████▍ | ETA: 0:16:50 Iterations: 350 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.86947024, 0.86947024, 0.86947024, 0.86947024, 0.86947024]                   Progress: 35%|██████████████▍ | ETA: 0:16:46 Iterations: 351 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8707454, 0.8707454, 0.8707454, 0.8707454, 0.8707454]                 Progress: 35%|██████████████▍ | ETA: 0:16:44 Iterations: 352 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.87200785, 0.87200785, 0.87200785, 0.87200785, 0.87200785]                   Progress: 35%|██████████████▌ | ETA: 0:16:40 Iterations: 353 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8732559, 0.8732559, 0.8732559, 0.8732559, 0.8732559]                 Progress: 35%|██████████████▌ | ETA: 0:16:37 Iterations: 354 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8744905, 0.8744905, 0.8744905, 0.8744905, 0.8744905]                 Progress: 36%|██████████████▌ | ETA: 0:16:34 Iterations: 355 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.87570924, 0.87570924, 0.87570924, 0.87570924, 0.87570924]                   Progress: 36%|██████████████▋ | ETA: 0:16:31 Iterations: 356 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.87691385, 0.87691385, 0.87691385, 0.87691385, 0.87691385]                   Progress: 36%|██████████████▋ | ETA: 0:16:28 Iterations: 357 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.87810314, 0.87810314, 0.87810314, 0.87810314, 0.87810314]                   Progress: 36%|██████████████▋ | ETA: 0:16:24 Iterations: 358 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.87927586, 0.87927586, 0.87927586, 0.87927586, 0.87927586]                   Progress: 36%|██████████████▊ | ETA: 0:16:21 Iterations: 359 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8804338, 0.8804338, 0.8804338, 0.8804338, 0.8804338]                 Progress: 36%|██████████████▊ | ETA: 0:16:18 Iterations: 360 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.88157517, 0.88157517, 0.88157517, 0.88157517, 0.88157517]                   Progress: 36%|██████████████▊ | ETA: 0:16:15 Iterations: 361 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.88270044, 0.88270044, 0.88270044, 0.88270044, 0.88270044]                   Progress: 36%|██████████████▉ | ETA: 0:16:12 Iterations: 362 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.88381, 0.88381, 0.88381, 0.88381, 0.88381]                 Progress: 36%|██████████████▉ | ETA: 0:16:09 Iterations: 363 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8849033, 0.8849033, 0.8849033, 0.8849033, 0.8849033]                 Progress: 36%|██████████████▉ | ETA: 0:16:06 Iterations: 364 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8859806, 0.8859806, 0.8859806, 0.8859806, 0.8859806]                 Progress: 36%|███████████████ | ETA: 0:16:04 Iterations: 365 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8870418, 0.8870418, 0.8870418, 0.8870418, 0.8870418]                 Progress: 37%|███████████████ | ETA: 0:16:01 Iterations: 366 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.88808703, 0.88808703, 0.88808703, 0.88808703, 0.88808703]                   Progress: 37%|███████████████ | ETA: 0:15:59 Iterations: 367 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.88911706, 0.88911706, 0.88911706, 0.88911706, 0.88911706]                   Progress: 37%|███████████████▏ | ETA: 0:15:56 Iterations: 368 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8901311, 0.8901311, 0.8901311, 0.8901311, 0.8901311]                 Progress: 37%|███████████████▏ | ETA: 0:15:53 Iterations: 369 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.89113003, 0.89113003, 0.89113003, 0.89113003, 0.89113003]                   Progress: 37%|███████████████▏ | ETA: 0:15:50 Iterations: 370 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8921139, 0.8921139, 0.8921139, 0.8921139, 0.8921139]                 Progress: 37%|███████████████▎ | ETA: 0:15:48 Iterations: 371 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8930829, 0.8930829, 0.8930829, 0.8930829, 0.8930829]                 Progress: 37%|███████████████▎ | ETA: 0:15:45 Iterations: 372 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.894037, 0.894037, 0.894037, 0.894037, 0.894037]                 Progress: 37%|███████████████▎ | ETA: 0:15:42 Iterations: 373 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8949772, 0.8949772, 0.8949772, 0.8949772, 0.8949772]                 Progress: 37%|███████████████▍ | ETA: 0:15:39 Iterations: 374 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8959026, 0.8959026, 0.8959026, 0.8959026, 0.8959026]                 Progress: 38%|███████████████▍ | ETA: 0:15:36 Iterations: 375 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.89681417, 0.89681417, 0.89681417, 0.89681417, 0.89681417]                   Progress: 38%|███████████████▍ | ETA: 0:15:34 Iterations: 376 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.89771134, 0.89771134, 0.89771134, 0.89771134, 0.89771134]                   Progress: 38%|███████████████▌ | ETA: 0:15:30 Iterations: 377 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8985957, 0.8985957, 0.8985957, 0.8985957, 0.8985957]                 Progress: 38%|███████████████▌ | ETA: 0:15:28 Iterations: 378 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.8994665, 0.8994665, 0.8994665, 0.8994665, 0.8994665]                 Progress: 38%|███████████████▌ | ETA: 0:15:25 Iterations: 379 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9003239, 0.9003239, 0.9003239, 0.9003239, 0.9003239]                 Progress: 38%|███████████████▋ | ETA: 0:15:22 Iterations: 380 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9011689, 0.9011689, 0.9011689, 0.9011689, 0.9011689]                 Progress: 38%|███████████████▋ | ETA: 0:15:19 Iterations: 381 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.90200067, 0.90200067, 0.90200067, 0.90200067, 0.90200067]                   Progress: 38%|███████████████▋ | ETA: 0:15:16 Iterations: 382 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.90282017, 0.90282017, 0.90282017, 0.90282017, 0.90282017]                   Progress: 38%|███████████████▊ | ETA: 0:15:13 Iterations: 383 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9036286, 0.9036286, 0.9036286, 0.9036286, 0.9036286]                 Progress: 38%|███████████████▊ | ETA: 0:15:10 Iterations: 384 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.90442383, 0.90442383, 0.90442383, 0.90442383, 0.90442383]                   Progress: 38%|███████████████▊ | ETA: 0:15:07 Iterations: 385 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9052081, 0.9052081, 0.9052081, 0.9052081, 0.9052081]                 Progress: 39%|███████████████▉ | ETA: 0:15:05 Iterations: 386 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9059805, 0.9059805, 0.9059805, 0.9059805, 0.9059805]                 Progress: 39%|███████████████▉ | ETA: 0:15:03 Iterations: 387 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.90674114, 0.90674114, 0.90674114, 0.90674114, 0.90674114]                   Progress: 39%|███████████████▉ | ETA: 0:15:00 Iterations: 388 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.907492, 0.907492, 0.907492, 0.907492, 0.907492]                 Progress: 39%|████████████████ | ETA: 0:14:57 Iterations: 389 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9082312, 0.9082312, 0.9082312, 0.9082312, 0.9082312]                 Progress: 39%|████████████████ | ETA: 0:14:53 Iterations: 390 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9089597, 0.9089597, 0.9089597, 0.9089597, 0.9089597]                 Progress: 39%|████████████████ | ETA: 0:14:51 Iterations: 391 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.90967876, 0.90967876, 0.90967876, 0.90967876, 0.90967876]                   Progress: 39%|████████████████▏ | ETA: 0:14:48 Iterations: 392 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9103863, 0.9103863, 0.9103863, 0.9103863, 0.9103863]                 Progress: 39%|████████████████▏ | ETA: 0:14:46 Iterations: 393 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9110846, 0.9110846, 0.9110846, 0.9110846, 0.9110846]                 Progress: 39%|████████████████▏ | ETA: 0:14:43 Iterations: 394 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9117735, 0.9117735, 0.9117735, 0.9117735, 0.9117735]                 Progress: 40%|████████████████▎ | ETA: 0:14:40 Iterations: 395 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.91245216, 0.91245216, 0.91245216, 0.91245216, 0.91245216]                   Progress: 40%|████████████████▎ | ETA: 0:14:38 Iterations: 396 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9131218, 0.9131218, 0.9131218, 0.9131218, 0.9131218]                 Progress: 40%|████████████████▎ | ETA: 0:14:35 Iterations: 397 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9137823, 0.9137823, 0.9137823, 0.9137823, 0.9137823]                 Progress: 40%|████████████████▍ | ETA: 0:14:32 Iterations: 398 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9144327, 0.9144327, 0.9144327, 0.9144327, 0.9144327]                 Progress: 40%|████████████████▍ | ETA: 0:14:30 Iterations: 399 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.91507524, 0.91507524, 0.91507524, 0.91507524, 0.91507524]                   Progress: 40%|████████████████▍ | ETA: 0:14:27 Iterations: 400 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9157089, 0.9157089, 0.9157089, 0.9157089, 0.9157089]                 Progress: 40%|████████████████▌ | ETA: 0:14:24 Iterations: 401 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9163338, 0.9163338, 0.9163338, 0.9163338, 0.9163338]                 Progress: 40%|████████████████▌ | ETA: 0:14:22 Iterations: 402 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9169509, 0.9169509, 0.9169509, 0.9169509, 0.9169509]                 Progress: 40%|████████████████▌ | ETA: 0:14:19 Iterations: 403 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9175593, 0.9175593, 0.9175593, 0.9175593, 0.9175593]                 Progress: 40%|████████████████▋ | ETA: 0:14:17 Iterations: 404 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9181601, 0.9181601, 0.9181601, 0.9181601, 0.9181601]                 Progress: 40%|████████████████▋ | ETA: 0:14:14 Iterations: 405 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9187524, 0.9187524, 0.9187524, 0.9187524, 0.9187524]                 Progress: 41%|████████████████▋ | ETA: 0:14:12 Iterations: 406 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9193372, 0.9193372, 0.9193372, 0.9193372, 0.9193372]                 Progress: 41%|████████████████▋ | ETA: 0:14:09 Iterations: 407 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9199145, 0.9199145, 0.9199145, 0.9199145, 0.9199145]                 Progress: 41%|████████████████▊ | ETA: 0:14:07 Iterations: 408 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92048436, 0.92048436, 0.92048436, 0.92048436, 0.92048436]                   Progress: 41%|████████████████▊ | ETA: 0:14:04 Iterations: 409 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92104703, 0.92104703, 0.92104703, 0.92104703, 0.92104703]                   Progress: 41%|████████████████▊ | ETA: 0:14:02 Iterations: 410 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92160237, 0.92160237, 0.92160237, 0.92160237, 0.92160237]                   Progress: 41%|████████████████▉ | ETA: 0:13:59 Iterations: 411 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92215055, 0.92215055, 0.92215055, 0.92215055, 0.92215055]                   Progress: 41%|████████████████▉ | ETA: 0:13:57 Iterations: 412 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92269236, 0.92269236, 0.92269236, 0.92269236, 0.92269236]                   Progress: 41%|████████████████▉ | ETA: 0:13:54 Iterations: 413 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92322737, 0.92322737, 0.92322737, 0.92322737, 0.92322737]                   Progress: 41%|█████████████████ | ETA: 0:13:53 Iterations: 414 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9237551, 0.9237551, 0.9237551, 0.9237551, 0.9237551]                 Progress: 42%|█████████████████ | ETA: 0:13:50 Iterations: 415 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92427695, 0.92427695, 0.92427695, 0.92427695, 0.92427695]                   Progress: 42%|█████████████████ | ETA: 0:13:49 Iterations: 416 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9247918, 0.9247918, 0.9247918, 0.9247918, 0.9247918]                 Progress: 42%|█████████████████▏ | ETA: 0:13:46 Iterations: 417 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9253007, 0.9253007, 0.9253007, 0.9253007, 0.9253007]                 Progress: 42%|█████████████████▏ | ETA: 0:13:43 Iterations: 418 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9258028, 0.9258028, 0.9258028, 0.9258028, 0.9258028]                 Progress: 42%|█████████████████▏ | ETA: 0:13:40 Iterations: 419 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9262991, 0.9262991, 0.9262991, 0.9262991, 0.9262991]                 Progress: 42%|█████████████████▎ | ETA: 0:13:38 Iterations: 420 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9267896, 0.9267896, 0.9267896, 0.9267896, 0.9267896]                 Progress: 42%|█████████████████▎ | ETA: 0:13:36 Iterations: 421 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92727435, 0.92727435, 0.92727435, 0.92727435, 0.92727435]                   Progress: 42%|█████████████████▎ | ETA: 0:13:34 Iterations: 422 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9277534, 0.9277534, 0.9277534, 0.9277534, 0.9277534]                 Progress: 42%|█████████████████▍ | ETA: 0:13:31 Iterations: 423 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9282269, 0.9282269, 0.9282269, 0.9282269, 0.9282269]                 Progress: 42%|█████████████████▍ | ETA: 0:13:29 Iterations: 424 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9286947, 0.9286947, 0.9286947, 0.9286947, 0.9286947]                 Progress: 42%|█████████████████▍ | ETA: 0:13:26 Iterations: 425 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.929157, 0.929157, 0.929157, 0.929157, 0.929157]                 Progress: 43%|█████████████████▌ | ETA: 0:13:23 Iterations: 426 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.92961377, 0.92961377, 0.92961377, 0.92961377, 0.92961377]                   Progress: 43%|█████████████████▌ | ETA: 0:13:21 Iterations: 427 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93006504, 0.93006504, 0.93006504, 0.93006504, 0.93006504]                   Progress: 43%|█████████████████▌ | ETA: 0:13:19 Iterations: 428 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93051195, 0.93051195, 0.93051195, 0.93051195, 0.93051195]                   Progress: 43%|█████████████████▋ | ETA: 0:13:16 Iterations: 429 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93095237, 0.93095237, 0.93095237, 0.93095237, 0.93095237]                   Progress: 43%|█████████████████▋ | ETA: 0:13:14 Iterations: 430 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93138963, 0.93138963, 0.93138963, 0.93138963, 0.93138963]                   Progress: 43%|█████████████████▋ | ETA: 0:13:11 Iterations: 431 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93182033, 0.93182033, 0.93182033, 0.93182033, 0.93182033]                   Progress: 43%|█████████████████▊ | ETA: 0:13:09 Iterations: 432 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93224674, 0.93224674, 0.93224674, 0.93224674, 0.93224674]                   Progress: 43%|█████████████████▊ | ETA: 0:13:07 Iterations: 433 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93266904, 0.93266904, 0.93266904, 0.93266904, 0.93266904]                   Progress: 43%|█████████████████▊ | ETA: 0:13:04 Iterations: 434 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93308604, 0.93308604, 0.93308604, 0.93308604, 0.93308604]                   Progress: 44%|█████████████████▉ | ETA: 0:13:02 Iterations: 435 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9334979, 0.9334979, 0.9334979, 0.9334979, 0.9334979]                 Progress: 44%|█████████████████▉ | ETA: 0:13:00 Iterations: 436 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9339066, 0.9339066, 0.9339066, 0.9339066, 0.9339066]                 Progress: 44%|█████████████████▉ | ETA: 0:12:58 Iterations: 437 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93431014, 0.93431014, 0.93431014, 0.93431014, 0.93431014]                   Progress: 44%|██████████████████ | ETA: 0:12:56 Iterations: 438 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93470854, 0.93470854, 0.93470854, 0.93470854, 0.93470854]                   Progress: 44%|██████████████████ | ETA: 0:12:54 Iterations: 439 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93510383, 0.93510383, 0.93510383, 0.93510383, 0.93510383]                   Progress: 44%|██████████████████ | ETA: 0:12:51 Iterations: 440 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93549424, 0.93549424, 0.93549424, 0.93549424, 0.93549424]                   Progress: 44%|██████████████████▏ | ETA: 0:12:48 Iterations: 441 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93588066, 0.93588066, 0.93588066, 0.93588066, 0.93588066]                   Progress: 44%|██████████████████▏ | ETA: 0:12:46 Iterations: 442 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.936263, 0.936263, 0.936263, 0.936263, 0.936263]                 Progress: 44%|██████████████████▏ | ETA: 0:12:44 Iterations: 443 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93664044, 0.93664044, 0.93664044, 0.93664044, 0.93664044]                   Progress: 44%|██████████████████▎ | ETA: 0:12:41 Iterations: 444 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.937015, 0.937015, 0.937015, 0.937015, 0.937015]                 Progress: 44%|██████████████████▎ | ETA: 0:12:39 Iterations: 445 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9373846, 0.9373846, 0.9373846, 0.9373846, 0.9373846]                 Progress: 45%|██████████████████▎ | ETA: 0:12:36 Iterations: 446 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9377515, 0.9377515, 0.9377515, 0.9377515, 0.9377515]                 Progress: 45%|██████████████████▍ | ETA: 0:12:34 Iterations: 447 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9381144, 0.9381144, 0.9381144, 0.9381144, 0.9381144]                 Progress: 45%|██████████████████▍ | ETA: 0:12:31 Iterations: 448 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9384724, 0.9384724, 0.9384724, 0.9384724, 0.9384724]                 Progress: 45%|██████████████████▍ | ETA: 0:12:30 Iterations: 449 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9388279, 0.9388279, 0.9388279, 0.9388279, 0.9388279]                 Progress: 45%|██████████████████▌ | ETA: 0:12:27 Iterations: 450 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93917954, 0.93917954, 0.93917954, 0.93917954, 0.93917954]                   Progress: 45%|██████████████████▌ | ETA: 0:12:25 Iterations: 451 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9395274, 0.9395274, 0.9395274, 0.9395274, 0.9395274]                 Progress: 45%|██████████████████▌ | ETA: 0:12:23 Iterations: 452 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.93987143, 0.93987143, 0.93987143, 0.93987143, 0.93987143]                   Progress: 45%|██████████████████▋ | ETA: 0:12:21 Iterations: 453 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.940213, 0.940213, 0.940213, 0.940213, 0.940213]                 Progress: 45%|██████████████████▋ | ETA: 0:12:19 Iterations: 454 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9405509, 0.9405509, 0.9405509, 0.9405509, 0.9405509]                 Progress: 46%|██████████████████▋ | ETA: 0:12:16 Iterations: 455 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94088393, 0.94088393, 0.94088393, 0.94088393, 0.94088393]                   Progress: 46%|██████████████████▊ | ETA: 0:12:14 Iterations: 456 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94121563, 0.94121563, 0.94121563, 0.94121563, 0.94121563]                   Progress: 46%|██████████████████▊ | ETA: 0:12:12 Iterations: 457 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9415425, 0.9415425, 0.9415425, 0.9415425, 0.9415425]                 Progress: 46%|██████████████████▊ | ETA: 0:12:10 Iterations: 458 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9418668, 0.9418668, 0.9418668, 0.9418668, 0.9418668]                 Progress: 46%|██████████████████▉ | ETA: 0:12:07 Iterations: 459 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9421878, 0.9421878, 0.9421878, 0.9421878, 0.9421878]                 Progress: 46%|██████████████████▉ | ETA: 0:12:05 Iterations: 460 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94250613, 0.94250613, 0.94250613, 0.94250613, 0.94250613]                   Progress: 46%|██████████████████▉ | ETA: 0:12:02 Iterations: 461 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94282097, 0.94282097, 0.94282097, 0.94282097, 0.94282097]                   Progress: 46%|███████████████████ | ETA: 0:12:00 Iterations: 462 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94313335, 0.94313335, 0.94313335, 0.94313335, 0.94313335]                   Progress: 46%|███████████████████ | ETA: 0:11:58 Iterations: 463 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9434421, 0.9434421, 0.9434421, 0.9434421, 0.9434421]                 Progress: 46%|███████████████████ | ETA: 0:11:56 Iterations: 464 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94374746, 0.94374746, 0.94374746, 0.94374746, 0.94374746]                   Progress: 46%|███████████████████▏ | ETA: 0:11:54 Iterations: 465 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9440505, 0.9440505, 0.9440505, 0.9440505, 0.9440505]                 Progress: 47%|███████████████████▏ | ETA: 0:11:51 Iterations: 466 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94435114, 0.94435114, 0.94435114, 0.94435114, 0.94435114]                   Progress: 47%|███████████████████▏ | ETA: 0:11:49 Iterations: 467 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94464827, 0.94464827, 0.94464827, 0.94464827, 0.94464827]                   Progress: 47%|███████████████████▎ | ETA: 0:11:47 Iterations: 468 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.944943, 0.944943, 0.944943, 0.944943, 0.944943]                 Progress: 47%|███████████████████▎ | ETA: 0:11:45 Iterations: 469 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9452346, 0.9452346, 0.9452346, 0.9452346, 0.9452346]                 Progress: 47%|███████████████████▎ | ETA: 0:11:43 Iterations: 470 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9455236, 0.9455236, 0.9455236, 0.9455236, 0.9455236]                 Progress: 47%|███████████████████▎ | ETA: 0:11:41 Iterations: 471 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9458104, 0.9458104, 0.9458104, 0.9458104, 0.9458104]                 Progress: 47%|███████████████████▍ | ETA: 0:11:39 Iterations: 472 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9460939, 0.9460939, 0.9460939, 0.9460939, 0.9460939]                 Progress: 47%|███████████████████▍ | ETA: 0:11:37 Iterations: 473 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9463751, 0.9463751, 0.9463751, 0.9463751, 0.9463751]                 Progress: 47%|███████████████████▍ | ETA: 0:11:35 Iterations: 474 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94665295, 0.94665295, 0.94665295, 0.94665295, 0.94665295]                   Progress: 48%|███████████████████▌ | ETA: 0:11:34 Iterations: 475 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94692963, 0.94692963, 0.94692963, 0.94692963, 0.94692963]                   Progress: 48%|███████████████████▌ | ETA: 0:11:32 Iterations: 476 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9472031, 0.9472031, 0.9472031, 0.9472031, 0.9472031]                 Progress: 48%|███████████████████▌ | ETA: 0:11:29 Iterations: 477 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94747424, 0.94747424, 0.94747424, 0.94747424, 0.94747424]                   Progress: 48%|███████████████████▋ | ETA: 0:11:27 Iterations: 478 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94774216, 0.94774216, 0.94774216, 0.94774216, 0.94774216]                   Progress: 48%|███████████████████▋ | ETA: 0:11:25 Iterations: 479 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9480091, 0.9480091, 0.9480091, 0.9480091, 0.9480091]                 Progress: 48%|███████████████████▋ | ETA: 0:11:22 Iterations: 480 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9482726, 0.9482726, 0.9482726, 0.9482726, 0.9482726]                 Progress: 48%|███████████████████▊ | ETA: 0:11:20 Iterations: 481 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.948534, 0.948534, 0.948534, 0.948534, 0.948534]                 Progress: 48%|███████████████████▊ | ETA: 0:11:18 Iterations: 482 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9487933, 0.9487933, 0.9487933, 0.9487933, 0.9487933]                 Progress: 48%|███████████████████▊ | ETA: 0:11:16 Iterations: 483 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9490494, 0.9490494, 0.9490494, 0.9490494, 0.9490494]                 Progress: 48%|███████████████████▉ | ETA: 0:11:14 Iterations: 484 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9493046, 0.9493046, 0.9493046, 0.9493046, 0.9493046]                 Progress: 48%|███████████████████▉ | ETA: 0:11:12 Iterations: 485 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94955647, 0.94955647, 0.94955647, 0.94955647, 0.94955647]                   Progress: 49%|███████████████████▉ | ETA: 0:11:10 Iterations: 486 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.94980735, 0.94980735, 0.94980735, 0.94980735, 0.94980735]                   Progress: 49%|████████████████████ | ETA: 0:11:08 Iterations: 487 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95005506, 0.95005506, 0.95005506, 0.95005506, 0.95005506]                   Progress: 49%|████████████████████ | ETA: 0:11:07 Iterations: 488 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95030075, 0.95030075, 0.95030075, 0.95030075, 0.95030075]                   Progress: 49%|████████████████████ | ETA: 0:11:04 Iterations: 489 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95054436, 0.95054436, 0.95054436, 0.95054436, 0.95054436]                   Progress: 49%|████████████████████▏ | ETA: 0:11:02 Iterations: 490 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9507859, 0.9507859, 0.9507859, 0.9507859, 0.9507859]                 Progress: 49%|████████████████████▏ | ETA: 0:11:00 Iterations: 491 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9510255, 0.9510255, 0.9510255, 0.9510255, 0.9510255]                 Progress: 49%|████████████████████▏ | ETA: 0:10:58 Iterations: 492 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.951263, 0.951263, 0.951263, 0.951263, 0.951263]                 Progress: 49%|████████████████████▎ | ETA: 0:10:56 Iterations: 493 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9514985, 0.9514985, 0.9514985, 0.9514985, 0.9514985]                 Progress: 49%|████████████████████▎ | ETA: 0:10:54 Iterations: 494 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95173204, 0.95173204, 0.95173204, 0.95173204, 0.95173204]                   Progress: 50%|████████████████████▎ | ETA: 0:10:52 Iterations: 495 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95196456, 0.95196456, 0.95196456, 0.95196456, 0.95196456]                   Progress: 50%|████████████████████▍ | ETA: 0:10:50 Iterations: 496 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9521942, 0.9521942, 0.9521942, 0.9521942, 0.9521942]                 Progress: 50%|████████████████████▍ | ETA: 0:10:48 Iterations: 497 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9524218, 0.9524218, 0.9524218, 0.9524218, 0.9524218]                 Progress: 50%|████████████████████▍ | ETA: 0:10:46 Iterations: 498 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9526474, 0.9526474, 0.9526474, 0.9526474, 0.9526474]                 Progress: 50%|████████████████████▌ | ETA: 0:10:44 Iterations: 499 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95287114, 0.95287114, 0.95287114, 0.95287114, 0.95287114]                   Progress: 50%|████████████████████▌ | ETA: 0:10:42 Iterations: 500 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9530939, 0.9530939, 0.9530939, 0.9530939, 0.9530939]                 Progress: 50%|████████████████████▌ | ETA: 0:10:40 Iterations: 501 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95331377, 0.95331377, 0.95331377, 0.95331377, 0.95331377]                   Progress: 50%|████████████████████▋ | ETA: 0:10:38 Iterations: 502 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9535329, 0.9535329, 0.9535329, 0.9535329, 0.9535329]                 Progress: 50%|████████████████████▋ | ETA: 0:10:36 Iterations: 503 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9537487, 0.9537487, 0.9537487, 0.9537487, 0.9537487]                 Progress: 50%|████████████████████▋ | ETA: 0:10:34 Iterations: 504 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9539639, 0.9539639, 0.9539639, 0.9539639, 0.9539639]                 Progress: 50%|████████████████████▊ | ETA: 0:10:31 Iterations: 505 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9541772, 0.9541772, 0.9541772, 0.9541772, 0.9541772]                 Progress: 51%|████████████████████▊ | ETA: 0:10:30 Iterations: 506 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9543887, 0.9543887, 0.9543887, 0.9543887, 0.9543887]                 Progress: 51%|████████████████████▊ | ETA: 0:10:28 Iterations: 507 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9545994, 0.9545994, 0.9545994, 0.9545994, 0.9545994]                 Progress: 51%|████████████████████▉ | ETA: 0:10:26 Iterations: 508 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95480704, 0.95480704, 0.95480704, 0.95480704, 0.95480704]                   Progress: 51%|████████████████████▉ | ETA: 0:10:24 Iterations: 509 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.955014, 0.955014, 0.955014, 0.955014, 0.955014]                 Progress: 51%|████████████████████▉ | ETA: 0:10:22 Iterations: 510 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.955219, 0.955219, 0.955219, 0.955219, 0.955219]                 Progress: 51%|█████████████████████ | ETA: 0:10:20 Iterations: 511 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95542234, 0.95542234, 0.95542234, 0.95542234, 0.95542234]                   Progress: 51%|█████████████████████ | ETA: 0:10:18 Iterations: 512 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9556237, 0.9556237, 0.9556237, 0.9556237, 0.9556237]                 Progress: 51%|█████████████████████ | ETA: 0:10:16 Iterations: 513 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95582336, 0.95582336, 0.95582336, 0.95582336, 0.95582336]                   Progress: 51%|█████████████████████▏ | ETA: 0:10:14 Iterations: 514 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9560222, 0.9560222, 0.9560222, 0.9560222, 0.9560222]                 Progress: 52%|█████████████████████▏ | ETA: 0:10:12 Iterations: 515 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9562192, 0.9562192, 0.9562192, 0.9562192, 0.9562192]                 Progress: 52%|█████████████████████▏ | ETA: 0:10:10 Iterations: 516 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9564146, 0.9564146, 0.9564146, 0.9564146, 0.9564146]                 Progress: 52%|█████████████████████▎ | ETA: 0:10:08 Iterations: 517 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9566091, 0.9566091, 0.9566091, 0.9566091, 0.9566091]                 Progress: 52%|█████████████████████▎ | ETA: 0:10:06 Iterations: 518 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95680076, 0.95680076, 0.95680076, 0.95680076, 0.95680076]                   Progress: 52%|█████████████████████▎ | ETA: 0:10:05 Iterations: 519 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9569918, 0.9569918, 0.9569918, 0.9569918, 0.9569918]                 Progress: 52%|█████████████████████▍ | ETA: 0:10:03 Iterations: 520 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9571821, 0.9571821, 0.9571821, 0.9571821, 0.9571821]                 Progress: 52%|█████████████████████▍ | ETA: 0:10:01 Iterations: 521 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95736957, 0.95736957, 0.95736957, 0.95736957, 0.95736957]                   Progress: 52%|█████████████████████▍ | ETA: 0:09:59 Iterations: 522 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9575563, 0.9575563, 0.9575563, 0.9575563, 0.9575563]                 Progress: 52%|█████████████████████▌ | ETA: 0:09:57 Iterations: 523 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9577415, 0.9577415, 0.9577415, 0.9577415, 0.9577415]                 Progress: 52%|█████████████████████▌ | ETA: 0:09:56 Iterations: 524 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9579258, 0.9579258, 0.9579258, 0.9579258, 0.9579258]                 Progress: 52%|█████████████████████▌ | ETA: 0:09:54 Iterations: 525 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9581074, 0.9581074, 0.9581074, 0.9581074, 0.9581074]                 Progress: 53%|█████████████████████▋ | ETA: 0:09:52 Iterations: 526 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95828944, 0.95828944, 0.95828944, 0.95828944, 0.95828944]                   Progress: 53%|█████████████████████▋ | ETA: 0:09:50 Iterations: 527 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9584687, 0.9584687, 0.9584687, 0.9584687, 0.9584687]                 Progress: 53%|█████████████████████▋ | ETA: 0:09:48 Iterations: 528 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9586473, 0.9586473, 0.9586473, 0.9586473, 0.9586473]                 Progress: 53%|█████████████████████▊ | ETA: 0:09:47 Iterations: 529 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95882416, 0.95882416, 0.95882416, 0.95882416, 0.95882416]                   Progress: 53%|█████████████████████▊ | ETA: 0:09:45 Iterations: 530 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9590005, 0.9590005, 0.9590005, 0.9590005, 0.9590005]                 Progress: 53%|█████████████████████▊ | ETA: 0:09:43 Iterations: 531 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9591751, 0.9591751, 0.9591751, 0.9591751, 0.9591751]                 Progress: 53%|█████████████████████▊ | ETA: 0:09:41 Iterations: 532 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.959348, 0.959348, 0.959348, 0.959348, 0.959348]                 Progress: 53%|█████████████████████▉ | ETA: 0:09:39 Iterations: 533 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9595203, 0.9595203, 0.9595203, 0.9595203, 0.9595203]                 Progress: 53%|█████████████████████▉ | ETA: 0:09:37 Iterations: 534 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95969087, 0.95969087, 0.95969087, 0.95969087, 0.95969087]                   Progress: 54%|█████████████████████▉ | ETA: 0:09:36 Iterations: 535 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.95985985, 0.95985985, 0.95985985, 0.95985985, 0.95985985]                   Progress: 54%|██████████████████████ | ETA: 0:09:34 Iterations: 536 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9600283, 0.9600283, 0.9600283, 0.9600283, 0.9600283]                 Progress: 54%|██████████████████████ | ETA: 0:09:32 Iterations: 537 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96019495, 0.96019495, 0.96019495, 0.96019495, 0.96019495]                   Progress: 54%|██████████████████████ | ETA: 0:09:31 Iterations: 538 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9603612, 0.9603612, 0.9603612, 0.9603612, 0.9603612]                 Progress: 54%|██████████████████████▏ | ETA: 0:09:29 Iterations: 539 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9605257, 0.9605257, 0.9605257, 0.9605257, 0.9605257]                 Progress: 54%|██████████████████████▏ | ETA: 0:09:28 Iterations: 540 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9606897, 0.9606897, 0.9606897, 0.9606897, 0.9606897]                 Progress: 54%|██████████████████████▏ | ETA: 0:09:26 Iterations: 541 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9608509, 0.9608509, 0.9608509, 0.9608509, 0.9608509]                 Progress: 54%|██████████████████████▎ | ETA: 0:09:24 Iterations: 542 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9610126, 0.9610126, 0.9610126, 0.9610126, 0.9610126]                 Progress: 54%|██████████████████████▎ | ETA: 0:09:22 Iterations: 543 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9611728, 0.9611728, 0.9611728, 0.9611728, 0.9611728]                 Progress: 54%|██████████████████████▎ | ETA: 0:09:20 Iterations: 544 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9613314, 0.9613314, 0.9613314, 0.9613314, 0.9613314]                 Progress: 54%|██████████████████████▍ | ETA: 0:09:19 Iterations: 545 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96148944, 0.96148944, 0.96148944, 0.96148944, 0.96148944]                   Progress: 55%|██████████████████████▍ | ETA: 0:09:17 Iterations: 546 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96164584, 0.96164584, 0.96164584, 0.96164584, 0.96164584]                   Progress: 55%|██████████████████████▍ | ETA: 0:09:16 Iterations: 547 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96180177, 0.96180177, 0.96180177, 0.96180177, 0.96180177]                   Progress: 55%|██████████████████████▌ | ETA: 0:09:14 Iterations: 548 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96195596, 0.96195596, 0.96195596, 0.96195596, 0.96195596]                   Progress: 55%|██████████████████████▌ | ETA: 0:09:12 Iterations: 549 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96210986, 0.96210986, 0.96210986, 0.96210986, 0.96210986]                   Progress: 55%|██████████████████████▌ | ETA: 0:09:10 Iterations: 550 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9622619, 0.9622619, 0.9622619, 0.9622619, 0.9622619]                 Progress: 55%|██████████████████████▋ | ETA: 0:09:08 Iterations: 551 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96241266, 0.96241266, 0.96241266, 0.96241266, 0.96241266]                   Progress: 55%|██████████████████████▋ | ETA: 0:09:06 Iterations: 552 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9625638, 0.9625638, 0.9625638, 0.9625638, 0.9625638]                 Progress: 55%|██████████████████████▋ | ETA: 0:09:04 Iterations: 553 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9627123, 0.9627123, 0.9627123, 0.9627123, 0.9627123]                 Progress: 55%|██████████████████████▊ | ETA: 0:09:03 Iterations: 554 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96286035, 0.96286035, 0.96286035, 0.96286035, 0.96286035]                   Progress: 56%|██████████████████████▊ | ETA: 0:09:01 Iterations: 555 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96300805, 0.96300805, 0.96300805, 0.96300805, 0.96300805]                   Progress: 56%|██████████████████████▊ | ETA: 0:08:59 Iterations: 556 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.963154, 0.963154, 0.963154, 0.963154, 0.963154]                 Progress: 56%|██████████████████████▉ | ETA: 0:08:57 Iterations: 557 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9632996, 0.9632996, 0.9632996, 0.9632996, 0.9632996]                 Progress: 56%|██████████████████████▉ | ETA: 0:08:56 Iterations: 558 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96344346, 0.96344346, 0.96344346, 0.96344346, 0.96344346]                   Progress: 56%|██████████████████████▉ | ETA: 0:08:54 Iterations: 559 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96358705, 0.96358705, 0.96358705, 0.96358705, 0.96358705]                   Progress: 56%|███████████████████████ | ETA: 0:08:52 Iterations: 560 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96372914, 0.96372914, 0.96372914, 0.96372914, 0.96372914]                   Progress: 56%|███████████████████████ | ETA: 0:08:51 Iterations: 561 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9638706, 0.9638706, 0.9638706, 0.9638706, 0.9638706]                 Progress: 56%|███████████████████████ | ETA: 0:08:49 Iterations: 562 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96401167, 0.96401167, 0.96401167, 0.96401167, 0.96401167]                   Progress: 56%|███████████████████████▏ | ETA: 0:08:47 Iterations: 563 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9641513, 0.9641513, 0.9641513, 0.9641513, 0.9641513]                 Progress: 56%|███████████████████████▏ | ETA: 0:08:46 Iterations: 564 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96428937, 0.96428937, 0.96428937, 0.96428937, 0.96428937]                   Progress: 56%|███████████████████████▏ | ETA: 0:08:44 Iterations: 565 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9644269, 0.9644269, 0.9644269, 0.9644269, 0.9644269]                 Progress: 57%|███████████████████████▎ | ETA: 0:08:42 Iterations: 566 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.964564, 0.964564, 0.964564, 0.964564, 0.964564]                 Progress: 57%|███████████████████████▎ | ETA: 0:08:41 Iterations: 567 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9646997, 0.9646997, 0.9646997, 0.9646997, 0.9646997]                 Progress: 57%|███████████████████████▎ | ETA: 0:08:39 Iterations: 568 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.964835, 0.964835, 0.964835, 0.964835, 0.964835]                 Progress: 57%|███████████████████████▍ | ETA: 0:08:37 Iterations: 569 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96496856, 0.96496856, 0.96496856, 0.96496856, 0.96496856]                   Progress: 57%|███████████████████████▍ | ETA: 0:08:36 Iterations: 570 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9651019, 0.9651019, 0.9651019, 0.9651019, 0.9651019]                 Progress: 57%|███████████████████████▍ | ETA: 0:08:34 Iterations: 571 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96523374, 0.96523374, 0.96523374, 0.96523374, 0.96523374]                   Progress: 57%|███████████████████████▌ | ETA: 0:08:33 Iterations: 572 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96536624, 0.96536624, 0.96536624, 0.96536624, 0.96536624]                   Progress: 57%|███████████████████████▌ | ETA: 0:08:31 Iterations: 573 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9654961, 0.9654961, 0.9654961, 0.9654961, 0.9654961]                 Progress: 57%|███████████████████████▌ | ETA: 0:08:30 Iterations: 574 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9656267, 0.9656267, 0.9656267, 0.9656267, 0.9656267]                 Progress: 58%|███████████████████████▋ | ETA: 0:08:28 Iterations: 575 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9657547, 0.9657547, 0.9657547, 0.9657547, 0.9657547]                 Progress: 58%|███████████████████████▋ | ETA: 0:08:26 Iterations: 576 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9658834, 0.9658834, 0.9658834, 0.9658834, 0.9658834]                 Progress: 58%|███████████████████████▋ | ETA: 0:08:24 Iterations: 577 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9660107, 0.9660107, 0.9660107, 0.9660107, 0.9660107]                 Progress: 58%|███████████████████████▊ | ETA: 0:08:23 Iterations: 578 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9661374, 0.9661374, 0.9661374, 0.9661374, 0.9661374]                 Progress: 58%|███████████████████████▊ | ETA: 0:08:21 Iterations: 579 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9662628, 0.9662628, 0.9662628, 0.9662628, 0.9662628]                 Progress: 58%|███████████████████████▊ | ETA: 0:08:19 Iterations: 580 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96638787, 0.96638787, 0.96638787, 0.96638787, 0.96638787]                   Progress: 58%|███████████████████████▉ | ETA: 0:08:17 Iterations: 581 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96651256, 0.96651256, 0.96651256, 0.96651256, 0.96651256]                   Progress: 58%|███████████████████████▉ | ETA: 0:08:16 Iterations: 582 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96663564, 0.96663564, 0.96663564, 0.96663564, 0.96663564]                   Progress: 58%|███████████████████████▉ | ETA: 0:08:14 Iterations: 583 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9667584, 0.9667584, 0.9667584, 0.9667584, 0.9667584]                 Progress: 58%|████████████████████████ | ETA: 0:08:12 Iterations: 584 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9668796, 0.9668796, 0.9668796, 0.9668796, 0.9668796]                 Progress: 58%|████████████████████████ | ETA: 0:08:11 Iterations: 585 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9670008, 0.9670008, 0.9670008, 0.9670008, 0.9670008]                 Progress: 59%|████████████████████████ | ETA: 0:08:09 Iterations: 586 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9671213, 0.9671213, 0.9671213, 0.9671213, 0.9671213]                 Progress: 59%|████████████████████████▏ | ETA: 0:08:08 Iterations: 587 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9672404, 0.9672404, 0.9672404, 0.9672404, 0.9672404]                 Progress: 59%|████████████████████████▏ | ETA: 0:08:06 Iterations: 588 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9673603, 0.9673603, 0.9673603, 0.9673603, 0.9673603]                 Progress: 59%|████████████████████████▏ | ETA: 0:08:05 Iterations: 589 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9674777, 0.9674777, 0.9674777, 0.9674777, 0.9674777]                 Progress: 59%|████████████████████████▎ | ETA: 0:08:03 Iterations: 590 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96759576, 0.96759576, 0.96759576, 0.96759576, 0.96759576]                   Progress: 59%|████████████████████████▎ | ETA: 0:08:02 Iterations: 591 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9677125, 0.9677125, 0.9677125, 0.9677125, 0.9677125]                 Progress: 59%|████████████████████████▎ | ETA: 0:08:00 Iterations: 592 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96782774, 0.96782774, 0.96782774, 0.96782774, 0.96782774]                   Progress: 59%|████████████████████████▍ | ETA: 0:07:59 Iterations: 593 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9679436, 0.9679436, 0.9679436, 0.9679436, 0.9679436]                 Progress: 59%|████████████████████████▍ | ETA: 0:07:57 Iterations: 594 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9680582, 0.9680582, 0.9680582, 0.9680582, 0.9680582]                 Progress: 60%|████████████████████████▍ | ETA: 0:07:55 Iterations: 595 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9681713, 0.9681713, 0.9681713, 0.9681713, 0.9681713]                 Progress: 60%|████████████████████████▍ | ETA: 0:07:54 Iterations: 596 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9682853, 0.9682853, 0.9682853, 0.9682853, 0.9682853]                 Progress: 60%|████████████████████████▌ | ETA: 0:07:52 Iterations: 597 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96839774, 0.96839774, 0.96839774, 0.96839774, 0.96839774]                   Progress: 60%|████████████████████████▌ | ETA: 0:07:50 Iterations: 598 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9685088, 0.9685088, 0.9685088, 0.9685088, 0.9685088]                 Progress: 60%|████████████████████████▌ | ETA: 0:07:49 Iterations: 599 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9686206, 0.9686206, 0.9686206, 0.9686206, 0.9686206]                 Progress: 60%|████████████████████████▋ | ETA: 0:07:47 Iterations: 600 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.968731, 0.968731, 0.968731, 0.968731, 0.968731]                 Progress: 60%|████████████████████████▋ | ETA: 0:07:46 Iterations: 601 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9688401, 0.9688401, 0.9688401, 0.9688401, 0.9688401]                 Progress: 60%|████████████████████████▋ | ETA: 0:07:44 Iterations: 602 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9689498, 0.9689498, 0.9689498, 0.9689498, 0.9689498]                 Progress: 60%|████████████████████████▊ | ETA: 0:07:42 Iterations: 603 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96905833, 0.96905833, 0.96905833, 0.96905833, 0.96905833]                   Progress: 60%|████████████████████████▊ | ETA: 0:07:41 Iterations: 604 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9691663, 0.9691663, 0.9691663, 0.9691663, 0.9691663]                 Progress: 60%|████████████████████████▊ | ETA: 0:07:39 Iterations: 605 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.969273, 0.969273, 0.969273, 0.969273, 0.969273]                 Progress: 61%|████████████████████████▉ | ETA: 0:07:37 Iterations: 606 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9693804, 0.9693804, 0.9693804, 0.9693804, 0.9693804]                 Progress: 61%|████████████████████████▉ | ETA: 0:07:36 Iterations: 607 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9694865, 0.9694865, 0.9694865, 0.9694865, 0.9694865]                 Progress: 61%|████████████████████████▉ | ETA: 0:07:34 Iterations: 608 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96959126, 0.96959126, 0.96959126, 0.96959126, 0.96959126]                   Progress: 61%|█████████████████████████ | ETA: 0:07:33 Iterations: 609 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96969676, 0.96969676, 0.96969676, 0.96969676, 0.96969676]                   Progress: 61%|█████████████████████████ | ETA: 0:07:31 Iterations: 610 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9698009, 0.9698009, 0.9698009, 0.9698009, 0.9698009]                 Progress: 61%|█████████████████████████ | ETA: 0:07:30 Iterations: 611 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.96990347, 0.96990347, 0.96990347, 0.96990347, 0.96990347]                   Progress: 61%|█████████████████████████▏ | ETA: 0:07:28 Iterations: 612 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.970007, 0.970007, 0.970007, 0.970007, 0.970007]                 Progress: 61%|█████████████████████████▏ | ETA: 0:07:26 Iterations: 613 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9701092, 0.9701092, 0.9701092, 0.9701092, 0.9701092]                 Progress: 61%|█████████████████████████▏ | ETA: 0:07:25 Iterations: 614 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9702111, 0.9702111, 0.9702111, 0.9702111, 0.9702111]                 Progress: 62%|█████████████████████████▎ | ETA: 0:07:24 Iterations: 615 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97031265, 0.97031265, 0.97031265, 0.97031265, 0.97031265]                   Progress: 62%|█████████████████████████▎ | ETA: 0:07:22 Iterations: 616 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9704128, 0.9704128, 0.9704128, 0.9704128, 0.9704128]                 Progress: 62%|█████████████████████████▎ | ETA: 0:07:21 Iterations: 617 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9705128, 0.9705128, 0.9705128, 0.9705128, 0.9705128]                 Progress: 62%|█████████████████████████▍ | ETA: 0:07:19 Iterations: 618 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9706123, 0.9706123, 0.9706123, 0.9706123, 0.9706123]                 Progress: 62%|█████████████████████████▍ | ETA: 0:07:18 Iterations: 619 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9707118, 0.9707118, 0.9707118, 0.9707118, 0.9707118]                 Progress: 62%|█████████████████████████▍ | ETA: 0:07:16 Iterations: 620 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97080976, 0.97080976, 0.97080976, 0.97080976, 0.97080976]                   Progress: 62%|█████████████████████████▌ | ETA: 0:07:15 Iterations: 621 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9709076, 0.9709076, 0.9709076, 0.9709076, 0.9709076]                 Progress: 62%|█████████████████████████▌ | ETA: 0:07:13 Iterations: 622 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97100496, 0.97100496, 0.97100496, 0.97100496, 0.97100496]                   Progress: 62%|█████████████████████████▌ | ETA: 0:07:12 Iterations: 623 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97110105, 0.97110105, 0.97110105, 0.97110105, 0.97110105]                   Progress: 62%|█████████████████████████▋ | ETA: 0:07:10 Iterations: 624 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97119695, 0.97119695, 0.97119695, 0.97119695, 0.97119695]                   Progress: 62%|█████████████████████████▋ | ETA: 0:07:09 Iterations: 625 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97129256, 0.97129256, 0.97129256, 0.97129256, 0.97129256]                   Progress: 63%|█████████████████████████▋ | ETA: 0:07:07 Iterations: 626 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9713879, 0.9713879, 0.9713879, 0.9713879, 0.9713879]                 Progress: 63%|█████████████████████████▊ | ETA: 0:07:06 Iterations: 627 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.971483, 0.971483, 0.971483, 0.971483, 0.971483]                 Progress: 63%|█████████████████████████▊ | ETA: 0:07:05 Iterations: 628 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97157675, 0.97157675, 0.97157675, 0.97157675, 0.97157675]                   Progress: 63%|█████████████████████████▊ | ETA: 0:07:03 Iterations: 629 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97167027, 0.97167027, 0.97167027, 0.97167027, 0.97167027]                   Progress: 63%|█████████████████████████▉ | ETA: 0:07:01 Iterations: 630 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97176343, 0.97176343, 0.97176343, 0.97176343, 0.97176343]                   Progress: 63%|█████████████████████████▉ | ETA: 0:07:00 Iterations: 631 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9718553, 0.9718553, 0.9718553, 0.9718553, 0.9718553]                 Progress: 63%|█████████████████████████▉ | ETA: 0:06:59 Iterations: 632 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9719481, 0.9719481, 0.9719481, 0.9719481, 0.9719481]                 Progress: 63%|██████████████████████████ | ETA: 0:06:57 Iterations: 633 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9720396, 0.9720396, 0.9720396, 0.9720396, 0.9720396]                 Progress: 63%|██████████████████████████ | ETA: 0:06:56 Iterations: 634 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9721296, 0.9721296, 0.9721296, 0.9721296, 0.9721296]                 Progress: 64%|██████████████████████████ | ETA: 0:06:54 Iterations: 635 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97222036, 0.97222036, 0.97222036, 0.97222036, 0.97222036]                   Progress: 64%|██████████████████████████▏ | ETA: 0:06:53 Iterations: 636 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97231007, 0.97231007, 0.97231007, 0.97231007, 0.97231007]                   Progress: 64%|██████████████████████████▏ | ETA: 0:06:51 Iterations: 637 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97239935, 0.97239935, 0.97239935, 0.97239935, 0.97239935]                   Progress: 64%|██████████████████████████▏ | ETA: 0:06:50 Iterations: 638 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9724885, 0.9724885, 0.9724885, 0.9724885, 0.9724885]                 Progress: 64%|██████████████████████████▎ | ETA: 0:06:48 Iterations: 639 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97257745, 0.97257745, 0.97257745, 0.97257745, 0.97257745]                   Progress: 64%|██████████████████████████▎ | ETA: 0:06:47 Iterations: 640 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97266495, 0.97266495, 0.97266495, 0.97266495, 0.97266495]                   Progress: 64%|██████████████████████████▎ | ETA: 0:06:45 Iterations: 641 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9727533, 0.9727533, 0.9727533, 0.9727533, 0.9727533]                 Progress: 64%|██████████████████████████▍ | ETA: 0:06:44 Iterations: 642 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97284037, 0.97284037, 0.97284037, 0.97284037, 0.97284037]                   Progress: 64%|██████████████████████████▍ | ETA: 0:06:42 Iterations: 643 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97292626, 0.97292626, 0.97292626, 0.97292626, 0.97292626]                   Progress: 64%|██████████████████████████▍ | ETA: 0:06:41 Iterations: 644 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9730129, 0.9730129, 0.9730129, 0.9730129, 0.9730129]                 Progress: 64%|██████████████████████████▌ | ETA: 0:06:40 Iterations: 645 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97309816, 0.97309816, 0.97309816, 0.97309816, 0.97309816]                   Progress: 65%|██████████████████████████▌ | ETA: 0:06:38 Iterations: 646 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9731833, 0.9731833, 0.9731833, 0.9731833, 0.9731833]                 Progress: 65%|██████████████████████████▌ | ETA: 0:06:37 Iterations: 647 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97326815, 0.97326815, 0.97326815, 0.97326815, 0.97326815]                   Progress: 65%|██████████████████████████▋ | ETA: 0:06:35 Iterations: 648 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97335285, 0.97335285, 0.97335285, 0.97335285, 0.97335285]                   Progress: 65%|██████████████████████████▋ | ETA: 0:06:34 Iterations: 649 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97343737, 0.97343737, 0.97343737, 0.97343737, 0.97343737]                   Progress: 65%|██████████████████████████▋ | ETA: 0:06:33 Iterations: 650 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9735205, 0.9735205, 0.9735205, 0.9735205, 0.9735205]                 Progress: 65%|██████████████████████████▊ | ETA: 0:06:31 Iterations: 651 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9736034, 0.9736034, 0.9736034, 0.9736034, 0.9736034]                 Progress: 65%|██████████████████████████▊ | ETA: 0:06:30 Iterations: 652 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97368616, 0.97368616, 0.97368616, 0.97368616, 0.97368616]                   Progress: 65%|██████████████████████████▊ | ETA: 0:06:28 Iterations: 653 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9737675, 0.9737675, 0.9737675, 0.9737675, 0.9737675]                 Progress: 65%|██████████████████████████▉ | ETA: 0:06:27 Iterations: 654 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97384983, 0.97384983, 0.97384983, 0.97384983, 0.97384983]                   Progress: 66%|██████████████████████████▉ | ETA: 0:06:25 Iterations: 655 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9739309, 0.9739309, 0.9739309, 0.9739309, 0.9739309]                 Progress: 66%|██████████████████████████▉ | ETA: 0:06:24 Iterations: 656 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97401166, 0.97401166, 0.97401166, 0.97401166, 0.97401166]                   Progress: 66%|██████████████████████████▉ | ETA: 0:06:22 Iterations: 657 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9740923, 0.9740923, 0.9740923, 0.9740923, 0.9740923]                 Progress: 66%|███████████████████████████ | ETA: 0:06:21 Iterations: 658 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9741726, 0.9741726, 0.9741726, 0.9741726, 0.9741726]                 Progress: 66%|███████████████████████████ | ETA: 0:06:19 Iterations: 659 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9742517, 0.9742517, 0.9742517, 0.9742517, 0.9742517]                 Progress: 66%|███████████████████████████ | ETA: 0:06:18 Iterations: 660 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9743317, 0.9743317, 0.9743317, 0.9743317, 0.9743317]                 Progress: 66%|███████████████████████████▏ | ETA: 0:06:17 Iterations: 661 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97441036, 0.97441036, 0.97441036, 0.97441036, 0.97441036]                   Progress: 66%|███████████████████████████▏ | ETA: 0:06:15 Iterations: 662 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9744889, 0.9744889, 0.9744889, 0.9744889, 0.9744889]                 Progress: 66%|███████████████████████████▏ | ETA: 0:06:14 Iterations: 663 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9745661, 0.9745661, 0.9745661, 0.9745661, 0.9745661]                 Progress: 66%|███████████████████████████▎ | ETA: 0:06:12 Iterations: 664 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97464424, 0.97464424, 0.97464424, 0.97464424, 0.97464424]                   Progress: 66%|███████████████████████████▎ | ETA: 0:06:11 Iterations: 665 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.974721, 0.974721, 0.974721, 0.974721, 0.974721]                 Progress: 67%|███████████████████████████▎ | ETA: 0:06:10 Iterations: 666 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9747976, 0.9747976, 0.9747976, 0.9747976, 0.9747976]                 Progress: 67%|███████████████████████████▍ | ETA: 0:06:08 Iterations: 667 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9748741, 0.9748741, 0.9748741, 0.9748741, 0.9748741]                 Progress: 67%|███████████████████████████▍ | ETA: 0:06:07 Iterations: 668 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9749503, 0.9749503, 0.9749503, 0.9749503, 0.9749503]                 Progress: 67%|███████████████████████████▍ | ETA: 0:06:05 Iterations: 669 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9750265, 0.9750265, 0.9750265, 0.9750265, 0.9750265]                 Progress: 67%|███████████████████████████▌ | ETA: 0:06:04 Iterations: 670 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9751013, 0.9751013, 0.9751013, 0.9751013, 0.9751013]                 Progress: 67%|███████████████████████████▌ | ETA: 0:06:03 Iterations: 671 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.975177, 0.975177, 0.975177, 0.975177, 0.975177]                 Progress: 67%|███████████████████████████▌ | ETA: 0:06:01 Iterations: 672 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9752514, 0.9752514, 0.9752514, 0.9752514, 0.9752514]                 Progress: 67%|███████████████████████████▋ | ETA: 0:06:00 Iterations: 673 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97532564, 0.97532564, 0.97532564, 0.97532564, 0.97532564]                   Progress: 67%|███████████████████████████▋ | ETA: 0:05:58 Iterations: 674 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97539854, 0.97539854, 0.97539854, 0.97539854, 0.97539854]                   Progress: 68%|███████████████████████████▋ | ETA: 0:05:57 Iterations: 675 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9754724, 0.9754724, 0.9754724, 0.9754724, 0.9754724]                 Progress: 68%|███████████████████████████▊ | ETA: 0:05:56 Iterations: 676 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.975545, 0.975545, 0.975545, 0.975545, 0.975545]                 Progress: 68%|███████████████████████████▊ | ETA: 0:05:54 Iterations: 677 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97561854, 0.97561854, 0.97561854, 0.97561854, 0.97561854]                   Progress: 68%|███████████████████████████▊ | ETA: 0:05:53 Iterations: 678 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9756908, 0.9756908, 0.9756908, 0.9756908, 0.9756908]                 Progress: 68%|███████████████████████████▉ | ETA: 0:05:52 Iterations: 679 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97576284, 0.97576284, 0.97576284, 0.97576284, 0.97576284]                   Progress: 68%|███████████████████████████▉ | ETA: 0:05:50 Iterations: 680 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9758337, 0.9758337, 0.9758337, 0.9758337, 0.9758337]                 Progress: 68%|███████████████████████████▉ | ETA: 0:05:49 Iterations: 681 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9759054, 0.9759054, 0.9759054, 0.9759054, 0.9759054]                 Progress: 68%|████████████████████████████ | ETA: 0:05:48 Iterations: 682 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9759759, 0.9759759, 0.9759759, 0.9759759, 0.9759759]                 Progress: 68%|████████████████████████████ | ETA: 0:05:46 Iterations: 683 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9760473, 0.9760473, 0.9760473, 0.9760473, 0.9760473]                 Progress: 68%|████████████████████████████ | ETA: 0:05:45 Iterations: 684 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97611743, 0.97611743, 0.97611743, 0.97611743, 0.97611743]                   Progress: 68%|████████████████████████████▏ | ETA: 0:05:44 Iterations: 685 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9761873, 0.9761873, 0.9761873, 0.9761873, 0.9761873]                 Progress: 69%|████████████████████████████▏ | ETA: 0:05:42 Iterations: 686 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9762561, 0.9762561, 0.9762561, 0.9762561, 0.9762561]                 Progress: 69%|████████████████████████████▏ | ETA: 0:05:41 Iterations: 687 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9763257, 0.9763257, 0.9763257, 0.9763257, 0.9763257]                 Progress: 69%|████████████████████████████▎ | ETA: 0:05:40 Iterations: 688 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.976394, 0.976394, 0.976394, 0.976394, 0.976394]                 Progress: 69%|████████████████████████████▎ | ETA: 0:05:38 Iterations: 689 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97646344, 0.97646344, 0.97646344, 0.97646344, 0.97646344]                   Progress: 69%|████████████████████████████▎ | ETA: 0:05:37 Iterations: 690 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97653145, 0.97653145, 0.97653145, 0.97653145, 0.97653145]                   Progress: 69%|████████████████████████████▍ | ETA: 0:05:36 Iterations: 691 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9765993, 0.9765993, 0.9765993, 0.9765993, 0.9765993]                 Progress: 69%|████████████████████████████▍ | ETA: 0:05:34 Iterations: 692 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97666705, 0.97666705, 0.97666705, 0.97666705, 0.97666705]                   Progress: 69%|████████████████████████████▍ | ETA: 0:05:33 Iterations: 693 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97673357, 0.97673357, 0.97673357, 0.97673357, 0.97673357]                   Progress: 69%|████████████████████████████▌ | ETA: 0:05:32 Iterations: 694 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9768009, 0.9768009, 0.9768009, 0.9768009, 0.9768009]                 Progress: 70%|████████████████████████████▌ | ETA: 0:05:30 Iterations: 695 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97686714, 0.97686714, 0.97686714, 0.97686714, 0.97686714]                   Progress: 70%|████████████████████████████▌ | ETA: 0:05:29 Iterations: 696 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97693425, 0.97693425, 0.97693425, 0.97693425, 0.97693425]                   Progress: 70%|████████████████████████████▋ | ETA: 0:05:28 Iterations: 697 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.977, 0.977, 0.977, 0.977, 0.977]                 Progress: 70%|████████████████████████████▋ | ETA: 0:05:26 Iterations: 698 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9770658, 0.9770658, 0.9770658, 0.9770658, 0.9770658]                 Progress: 70%|████████████████████████████▋ | ETA: 0:05:25 Iterations: 699 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9771313, 0.9771313, 0.9771313, 0.9771313, 0.9771313]                 Progress: 70%|████████████████████████████▊ | ETA: 0:05:24 Iterations: 700 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9771956, 0.9771956, 0.9771956, 0.9771956, 0.9771956]                 Progress: 70%|████████████████████████████▊ | ETA: 0:05:23 Iterations: 701 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97726077, 0.97726077, 0.97726077, 0.97726077, 0.97726077]                   Progress: 70%|████████████████████████████▊ | ETA: 0:05:21 Iterations: 702 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97732484, 0.97732484, 0.97732484, 0.97732484, 0.97732484]                   Progress: 70%|████████████████████████████▉ | ETA: 0:05:20 Iterations: 703 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9773886, 0.9773886, 0.9773886, 0.9773886, 0.9773886]                 Progress: 70%|████████████████████████████▉ | ETA: 0:05:19 Iterations: 704 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9774524, 0.9774524, 0.9774524, 0.9774524, 0.9774524]                 Progress: 70%|████████████████████████████▉ | ETA: 0:05:18 Iterations: 705 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97751594, 0.97751594, 0.97751594, 0.97751594, 0.97751594]                   Progress: 71%|█████████████████████████████ | ETA: 0:05:16 Iterations: 706 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9775793, 0.9775793, 0.9775793, 0.9775793, 0.9775793]                 Progress: 71%|█████████████████████████████ | ETA: 0:05:15 Iterations: 707 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97764266, 0.97764266, 0.97764266, 0.97764266, 0.97764266]                   Progress: 71%|█████████████████████████████ | ETA: 0:05:14 Iterations: 708 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9777058, 0.9777058, 0.9777058, 0.9777058, 0.9777058]                 Progress: 71%|█████████████████████████████▏ | ETA: 0:05:12 Iterations: 709 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97776765, 0.97776765, 0.97776765, 0.97776765, 0.97776765]                   Progress: 71%|█████████████████████████████▏ | ETA: 0:05:11 Iterations: 710 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97782934, 0.97782934, 0.97782934, 0.97782934, 0.97782934]                   Progress: 71%|█████████████████████████████▏ | ETA: 0:05:10 Iterations: 711 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97789097, 0.97789097, 0.97789097, 0.97789097, 0.97789097]                   Progress: 71%|█████████████████████████████▎ | ETA: 0:05:09 Iterations: 712 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9779524, 0.9779524, 0.9779524, 0.9779524, 0.9779524]                 Progress: 71%|█████████████████████████████▎ | ETA: 0:05:08 Iterations: 713 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97801375, 0.97801375, 0.97801375, 0.97801375, 0.97801375]                   Progress: 71%|█████████████████████████████▎ | ETA: 0:05:06 Iterations: 714 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.978075, 0.978075, 0.978075, 0.978075, 0.978075]                 Progress: 72%|█████████████████████████████▍ | ETA: 0:05:05 Iterations: 715 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.978136, 0.978136, 0.978136, 0.978136, 0.978136]                 Progress: 72%|█████████████████████████████▍ | ETA: 0:05:04 Iterations: 716 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9781958, 0.9781958, 0.9781958, 0.9781958, 0.9781958]                 Progress: 72%|█████████████████████████████▍ | ETA: 0:05:02 Iterations: 717 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9782567, 0.9782567, 0.9782567, 0.9782567, 0.9782567]                 Progress: 72%|█████████████████████████████▌ | ETA: 0:05:01 Iterations: 718 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9783161, 0.9783161, 0.9783161, 0.9783161, 0.9783161]                 Progress: 72%|█████████████████████████████▌ | ETA: 0:05:00 Iterations: 719 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9783756, 0.9783756, 0.9783756, 0.9783756, 0.9783756]                 Progress: 72%|█████████████████████████████▌ | ETA: 0:04:58 Iterations: 720 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9784348, 0.9784348, 0.9784348, 0.9784348, 0.9784348]                 Progress: 72%|█████████████████████████████▌ | ETA: 0:04:57 Iterations: 721 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97849405, 0.97849405, 0.97849405, 0.97849405, 0.97849405]                   Progress: 72%|█████████████████████████████▋ | ETA: 0:04:56 Iterations: 722 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97855306, 0.97855306, 0.97855306, 0.97855306, 0.97855306]                   Progress: 72%|█████████████████████████████▋ | ETA: 0:04:55 Iterations: 723 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9786108, 0.9786108, 0.9786108, 0.9786108, 0.9786108]                 Progress: 72%|█████████████████████████████▋ | ETA: 0:04:53 Iterations: 724 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97866964, 0.97866964, 0.97866964, 0.97866964, 0.97866964]                   Progress: 72%|█████████████████████████████▊ | ETA: 0:04:52 Iterations: 725 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97872716, 0.97872716, 0.97872716, 0.97872716, 0.97872716]                   Progress: 73%|█████████████████████████████▊ | ETA: 0:04:51 Iterations: 726 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9787845, 0.9787845, 0.9787845, 0.9787845, 0.9787845]                 Progress: 73%|█████████████████████████████▊ | ETA: 0:04:50 Iterations: 727 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.978843, 0.978843, 0.978843, 0.978843, 0.978843]                 Progress: 73%|█████████████████████████████▉ | ETA: 0:04:48 Iterations: 728 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9789001, 0.9789001, 0.9789001, 0.9789001, 0.9789001]                 Progress: 73%|█████████████████████████████▉ | ETA: 0:04:47 Iterations: 729 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9789571, 0.9789571, 0.9789571, 0.9789571, 0.9789571]                 Progress: 73%|█████████████████████████████▉ | ETA: 0:04:46 Iterations: 730 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97901297, 0.97901297, 0.97901297, 0.97901297, 0.97901297]                   Progress: 73%|██████████████████████████████ | ETA: 0:04:44 Iterations: 731 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97906977, 0.97906977, 0.97906977, 0.97906977, 0.97906977]                   Progress: 73%|██████████████████████████████ | ETA: 0:04:43 Iterations: 732 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97912645, 0.97912645, 0.97912645, 0.97912645, 0.97912645]                   Progress: 73%|██████████████████████████████ | ETA: 0:04:42 Iterations: 733 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9791819, 0.9791819, 0.9791819, 0.9791819, 0.9791819]                 Progress: 73%|██████████████████████████████▏ | ETA: 0:04:41 Iterations: 734 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9792371, 0.9792371, 0.9792371, 0.9792371, 0.9792371]                 Progress: 74%|██████████████████████████████▏ | ETA: 0:04:39 Iterations: 735 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97929347, 0.97929347, 0.97929347, 0.97929347, 0.97929347]                   Progress: 74%|██████████████████████████████▏ | ETA: 0:04:38 Iterations: 736 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97934854, 0.97934854, 0.97934854, 0.97934854, 0.97934854]                   Progress: 74%|██████████████████████████████▎ | ETA: 0:04:37 Iterations: 737 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97940344, 0.97940344, 0.97940344, 0.97940344, 0.97940344]                   Progress: 74%|██████████████████████████████▎ | ETA: 0:04:36 Iterations: 738 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97945833, 0.97945833, 0.97945833, 0.97945833, 0.97945833]                   Progress: 74%|██████████████████████████████▎ | ETA: 0:04:35 Iterations: 739 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.979512, 0.979512, 0.979512, 0.979512, 0.979512]                 Progress: 74%|██████████████████████████████▍ | ETA: 0:04:33 Iterations: 740 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97956663, 0.97956663, 0.97956663, 0.97956663, 0.97956663]                   Progress: 74%|██████████████████████████████▍ | ETA: 0:04:32 Iterations: 741 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9796211, 0.9796211, 0.9796211, 0.9796211, 0.9796211]                 Progress: 74%|██████████████████████████████▍ | ETA: 0:04:31 Iterations: 742 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9796744, 0.9796744, 0.9796744, 0.9796744, 0.9796744]                 Progress: 74%|██████████████████████████████▌ | ETA: 0:04:29 Iterations: 743 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9797275, 0.9797275, 0.9797275, 0.9797275, 0.9797275]                 Progress: 74%|██████████████████████████████▌ | ETA: 0:04:28 Iterations: 744 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.97978175, 0.97978175, 0.97978175, 0.97978175, 0.97978175]                   Progress: 74%|██████████████████████████████▌ | ETA: 0:04:27 Iterations: 745 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9798346, 0.9798346, 0.9798346, 0.9798346, 0.9798346]                 Progress: 75%|██████████████████████████████▋ | ETA: 0:04:26 Iterations: 746 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9798875, 0.9798875, 0.9798875, 0.9798875, 0.9798875]                 Progress: 75%|██████████████████████████████▋ | ETA: 0:04:25 Iterations: 747 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9799401, 0.9799401, 0.9799401, 0.9799401, 0.9799401]                 Progress: 75%|██████████████████████████████▋ | ETA: 0:04:23 Iterations: 748 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9799917, 0.9799917, 0.9799917, 0.9799917, 0.9799917]                 Progress: 75%|██████████████████████████████▊ | ETA: 0:04:22 Iterations: 749 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98004407, 0.98004407, 0.98004407, 0.98004407, 0.98004407]                   Progress: 75%|██████████████████████████████▊ | ETA: 0:04:21 Iterations: 750 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9800965, 0.9800965, 0.9800965, 0.9800965, 0.9800965]                 Progress: 75%|██████████████████████████████▊ | ETA: 0:04:20 Iterations: 751 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9801477, 0.9801477, 0.9801477, 0.9801477, 0.9801477]                 Progress: 75%|██████████████████████████████▉ | ETA: 0:04:18 Iterations: 752 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9801998, 0.9801998, 0.9801998, 0.9801998, 0.9801998]                 Progress: 75%|██████████████████████████████▉ | ETA: 0:04:17 Iterations: 753 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9802508, 0.9802508, 0.9802508, 0.9802508, 0.9802508]                 Progress: 75%|██████████████████████████████▉ | ETA: 0:04:16 Iterations: 754 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98030156, 0.98030156, 0.98030156, 0.98030156, 0.98030156]                   Progress: 76%|███████████████████████████████ | ETA: 0:04:15 Iterations: 755 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9803524, 0.9803524, 0.9803524, 0.9803524, 0.9803524]                 Progress: 76%|███████████████████████████████ | ETA: 0:04:14 Iterations: 756 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98040307, 0.98040307, 0.98040307, 0.98040307, 0.98040307]                   Progress: 76%|███████████████████████████████ | ETA: 0:04:12 Iterations: 757 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9804536, 0.9804536, 0.9804536, 0.9804536, 0.9804536]                 Progress: 76%|███████████████████████████████▏ | ETA: 0:04:11 Iterations: 758 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9805039, 0.9805039, 0.9805039, 0.9805039, 0.9805039]                 Progress: 76%|███████████████████████████████▏ | ETA: 0:04:10 Iterations: 759 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98055434, 0.98055434, 0.98055434, 0.98055434, 0.98055434]                   Progress: 76%|███████████████████████████████▏ | ETA: 0:04:09 Iterations: 760 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9806034, 0.9806034, 0.9806034, 0.9806034, 0.9806034]                 Progress: 76%|███████████████████████████████▎ | ETA: 0:04:08 Iterations: 761 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98065346, 0.98065346, 0.98065346, 0.98065346, 0.98065346]                   Progress: 76%|███████████████████████████████▎ | ETA: 0:04:07 Iterations: 762 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98070246, 0.98070246, 0.98070246, 0.98070246, 0.98070246]                   Progress: 76%|███████████████████████████████▎ | ETA: 0:04:05 Iterations: 763 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9807513, 0.9807513, 0.9807513, 0.9807513, 0.9807513]                 Progress: 76%|███████████████████████████████▍ | ETA: 0:04:04 Iterations: 764 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98080105, 0.98080105, 0.98080105, 0.98080105, 0.98080105]                   Progress: 76%|███████████████████████████████▍ | ETA: 0:04:03 Iterations: 765 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9808498, 0.9808498, 0.9808498, 0.9808498, 0.9808498]                 Progress: 77%|███████████████████████████████▍ | ETA: 0:04:02 Iterations: 766 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9808983, 0.9808983, 0.9808983, 0.9808983, 0.9808983]                 Progress: 77%|███████████████████████████████▌ | ETA: 0:04:01 Iterations: 767 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9809467, 0.9809467, 0.9809467, 0.9809467, 0.9809467]                 Progress: 77%|███████████████████████████████▌ | ETA: 0:04:00 Iterations: 768 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9809949, 0.9809949, 0.9809949, 0.9809949, 0.9809949]                 Progress: 77%|███████████████████████████████▌ | ETA: 0:03:58 Iterations: 769 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.981042, 0.981042, 0.981042, 0.981042, 0.981042]                 Progress: 77%|███████████████████████████████▋ | ETA: 0:03:57 Iterations: 770 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9810901, 0.9810901, 0.9810901, 0.9810901, 0.9810901]                 Progress: 77%|███████████████████████████████▋ | ETA: 0:03:56 Iterations: 771 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9811382, 0.9811382, 0.9811382, 0.9811382, 0.9811382]                 Progress: 77%|███████████████████████████████▋ | ETA: 0:03:55 Iterations: 772 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.981185, 0.981185, 0.981185, 0.981185, 0.981185]                 Progress: 77%|███████████████████████████████▊ | ETA: 0:03:54 Iterations: 773 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98123276, 0.98123276, 0.98123276, 0.98123276, 0.98123276]                   Progress: 77%|███████████████████████████████▊ | ETA: 0:03:53 Iterations: 774 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9812795, 0.9812795, 0.9812795, 0.9812795, 0.9812795]                 Progress: 78%|███████████████████████████████▊ | ETA: 0:03:51 Iterations: 775 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.981326, 0.981326, 0.981326, 0.981326, 0.981326]                 Progress: 78%|███████████████████████████████▉ | ETA: 0:03:50 Iterations: 776 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98137236, 0.98137236, 0.98137236, 0.98137236, 0.98137236]                   Progress: 78%|███████████████████████████████▉ | ETA: 0:03:49 Iterations: 777 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9814187, 0.9814187, 0.9814187, 0.9814187, 0.9814187]                 Progress: 78%|███████████████████████████████▉ | ETA: 0:03:48 Iterations: 778 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98146504, 0.98146504, 0.98146504, 0.98146504, 0.98146504]                   Progress: 78%|████████████████████████████████ | ETA: 0:03:47 Iterations: 779 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9815112, 0.9815112, 0.9815112, 0.9815112, 0.9815112]                 Progress: 78%|████████████████████████████████ | ETA: 0:03:46 Iterations: 780 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98155737, 0.98155737, 0.98155737, 0.98155737, 0.98155737]                   Progress: 78%|████████████████████████████████ | ETA: 0:03:44 Iterations: 781 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98160326, 0.98160326, 0.98160326, 0.98160326, 0.98160326]                   Progress: 78%|████████████████████████████████ | ETA: 0:03:43 Iterations: 782 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98164797, 0.98164797, 0.98164797, 0.98164797, 0.98164797]                   Progress: 78%|████████████████████████████████▏ | ETA: 0:03:42 Iterations: 783 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9816939, 0.9816939, 0.9816939, 0.9816939, 0.9816939]                 Progress: 78%|████████████████████████████████▏ | ETA: 0:03:41 Iterations: 784 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9817384, 0.9817384, 0.9817384, 0.9817384, 0.9817384]                 Progress: 78%|████████████████████████████████▏ | ETA: 0:03:40 Iterations: 785 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9817841, 0.9817841, 0.9817841, 0.9817841, 0.9817841]                 Progress: 79%|████████████████████████████████▎ | ETA: 0:03:39 Iterations: 786 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98182845, 0.98182845, 0.98182845, 0.98182845, 0.98182845]                   Progress: 79%|████████████████████████████████▎ | ETA: 0:03:38 Iterations: 787 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98187286, 0.98187286, 0.98187286, 0.98187286, 0.98187286]                   Progress: 79%|████████████████████████████████▎ | ETA: 0:03:36 Iterations: 788 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9819171, 0.9819171, 0.9819171, 0.9819171, 0.9819171]                 Progress: 79%|████████████████████████████████▍ | ETA: 0:03:35 Iterations: 789 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9819613, 0.9819613, 0.9819613, 0.9819613, 0.9819613]                 Progress: 79%|████████████████████████████████▍ | ETA: 0:03:34 Iterations: 790 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98200536, 0.98200536, 0.98200536, 0.98200536, 0.98200536]                   Progress: 79%|████████████████████████████████▍ | ETA: 0:03:33 Iterations: 791 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9820493, 0.9820493, 0.9820493, 0.9820493, 0.9820493]                 Progress: 79%|████████████████████████████████▌ | ETA: 0:03:32 Iterations: 792 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9820932, 0.9820932, 0.9820932, 0.9820932, 0.9820932]                 Progress: 79%|████████████████████████████████▌ | ETA: 0:03:31 Iterations: 793 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98213595, 0.98213595, 0.98213595, 0.98213595, 0.98213595]                   Progress: 79%|████████████████████████████████▌ | ETA: 0:03:30 Iterations: 794 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98217976, 0.98217976, 0.98217976, 0.98217976, 0.98217976]                   Progress: 80%|████████████████████████████████▋ | ETA: 0:03:29 Iterations: 795 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9822234, 0.9822234, 0.9822234, 0.9822234, 0.9822234]                 Progress: 80%|████████████████████████████████▋ | ETA: 0:03:27 Iterations: 796 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98226583, 0.98226583, 0.98226583, 0.98226583, 0.98226583]                   Progress: 80%|████████████████████████████████▋ | ETA: 0:03:26 Iterations: 797 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9823093, 0.9823093, 0.9823093, 0.9823093, 0.9823093]                 Progress: 80%|████████████████████████████████▊ | ETA: 0:03:25 Iterations: 798 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9823516, 0.9823516, 0.9823516, 0.9823516, 0.9823516]                 Progress: 80%|████████████████████████████████▊ | ETA: 0:03:24 Iterations: 799 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98239386, 0.98239386, 0.98239386, 0.98239386, 0.98239386]                   Progress: 80%|████████████████████████████████▊ | ETA: 0:03:23 Iterations: 800 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98243594, 0.98243594, 0.98243594, 0.98243594, 0.98243594]                   Progress: 80%|████████████████████████████████▉ | ETA: 0:03:22 Iterations: 801 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98247796, 0.98247796, 0.98247796, 0.98247796, 0.98247796]                   Progress: 80%|████████████████████████████████▉ | ETA: 0:03:21 Iterations: 802 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98252, 0.98252, 0.98252, 0.98252, 0.98252]                 Progress: 80%|████████████████████████████████▉ | ETA: 0:03:19 Iterations: 803 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9825618, 0.9825618, 0.9825618, 0.9825618, 0.9825618]                 Progress: 80%|█████████████████████████████████ | ETA: 0:03:18 Iterations: 804 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9826037, 0.9826037, 0.9826037, 0.9826037, 0.9826037]                 Progress: 80%|█████████████████████████████████ | ETA: 0:03:17 Iterations: 805 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9826454, 0.9826454, 0.9826454, 0.9826454, 0.9826454]                 Progress: 81%|█████████████████████████████████ | ETA: 0:03:16 Iterations: 806 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9826872, 0.9826872, 0.9826872, 0.9826872, 0.9826872]                 Progress: 81%|█████████████████████████████████▏ | ETA: 0:03:15 Iterations: 807 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98272747, 0.98272747, 0.98272747, 0.98272747, 0.98272747]                   Progress: 81%|█████████████████████████████████▏ | ETA: 0:03:14 Iterations: 808 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9827691, 0.9827691, 0.9827691, 0.9827691, 0.9827691]                 Progress: 81%|█████████████████████████████████▏ | ETA: 0:03:13 Iterations: 809 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98280936, 0.98280936, 0.98280936, 0.98280936, 0.98280936]                   Progress: 81%|█████████████████████████████████▎ | ETA: 0:03:12 Iterations: 810 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9828507, 0.9828507, 0.9828507, 0.9828507, 0.9828507]                 Progress: 81%|█████████████████████████████████▎ | ETA: 0:03:11 Iterations: 811 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9828909, 0.9828909, 0.9828909, 0.9828909, 0.9828909]                 Progress: 81%|█████████████████████████████████▎ | ETA: 0:03:09 Iterations: 812 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.982932, 0.982932, 0.982932, 0.982932, 0.982932]                 Progress: 81%|█████████████████████████████████▍ | ETA: 0:03:08 Iterations: 813 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9829721, 0.9829721, 0.9829721, 0.9829721, 0.9829721]                 Progress: 81%|█████████████████████████████████▍ | ETA: 0:03:07 Iterations: 814 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.983012, 0.983012, 0.983012, 0.983012, 0.983012]                 Progress: 82%|█████████████████████████████████▍ | ETA: 0:03:06 Iterations: 815 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9830518, 0.9830518, 0.9830518, 0.9830518, 0.9830518]                 Progress: 82%|█████████████████████████████████▌ | ETA: 0:03:05 Iterations: 816 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98309165, 0.98309165, 0.98309165, 0.98309165, 0.98309165]                   Progress: 82%|█████████████████████████████████▌ | ETA: 0:03:04 Iterations: 817 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9831313, 0.9831313, 0.9831313, 0.9831313, 0.9831313]                 Progress: 82%|█████████████████████████████████▌ | ETA: 0:03:03 Iterations: 818 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9831709, 0.9831709, 0.9831709, 0.9831709, 0.9831709]                 Progress: 82%|█████████████████████████████████▋ | ETA: 0:03:02 Iterations: 819 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98321056, 0.98321056, 0.98321056, 0.98321056, 0.98321056]                   Progress: 82%|█████████████████████████████████▋ | ETA: 0:03:00 Iterations: 820 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98324883, 0.98324883, 0.98324883, 0.98324883, 0.98324883]                   Progress: 82%|█████████████████████████████████▋ | ETA: 0:02:59 Iterations: 821 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9832882, 0.9832882, 0.9832882, 0.9832882, 0.9832882]                 Progress: 82%|█████████████████████████████████▊ | ETA: 0:02:58 Iterations: 822 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9833277, 0.9833277, 0.9833277, 0.9833277, 0.9833277]                 Progress: 82%|█████████████████████████████████▊ | ETA: 0:02:57 Iterations: 823 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9833657, 0.9833657, 0.9833657, 0.9833657, 0.9833657]                 Progress: 82%|█████████████████████████████████▊ | ETA: 0:02:56 Iterations: 824 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.983405, 0.983405, 0.983405, 0.983405, 0.983405]                 Progress: 82%|█████████████████████████████████▉ | ETA: 0:02:55 Iterations: 825 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98344296, 0.98344296, 0.98344296, 0.98344296, 0.98344296]                   Progress: 83%|█████████████████████████████████▉ | ETA: 0:02:54 Iterations: 826 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.983481, 0.983481, 0.983481, 0.983481, 0.983481]                 Progress: 83%|█████████████████████████████████▉ | ETA: 0:02:53 Iterations: 827 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98352, 0.98352, 0.98352, 0.98352, 0.98352]                 Progress: 83%|██████████████████████████████████ | ETA: 0:02:52 Iterations: 828 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9835577, 0.9835577, 0.9835577, 0.9835577, 0.9835577]                 Progress: 83%|██████████████████████████████████ | ETA: 0:02:51 Iterations: 829 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9835954, 0.9835954, 0.9835954, 0.9835954, 0.9835954]                 Progress: 83%|██████████████████████████████████ | ETA: 0:02:49 Iterations: 830 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9836331, 0.9836331, 0.9836331, 0.9836331, 0.9836331]                 Progress: 83%|██████████████████████████████████▏ | ETA: 0:02:48 Iterations: 831 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9836707, 0.9836707, 0.9836707, 0.9836707, 0.9836707]                 Progress: 83%|██████████████████████████████████▏ | ETA: 0:02:47 Iterations: 832 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9837082, 0.9837082, 0.9837082, 0.9837082, 0.9837082]                 Progress: 83%|██████████████████████████████████▏ | ETA: 0:02:46 Iterations: 833 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9837457, 0.9837457, 0.9837457, 0.9837457, 0.9837457]                 Progress: 83%|██████████████████████████████████▎ | ETA: 0:02:45 Iterations: 834 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98378307, 0.98378307, 0.98378307, 0.98378307, 0.98378307]                   Progress: 84%|██████████████████████████████████▎ | ETA: 0:02:44 Iterations: 835 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9838193, 0.9838193, 0.9838193, 0.9838193, 0.9838193]                 Progress: 84%|██████████████████████████████████▎ | ETA: 0:02:43 Iterations: 836 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98385644, 0.98385644, 0.98385644, 0.98385644, 0.98385644]                   Progress: 84%|██████████████████████████████████▍ | ETA: 0:02:42 Iterations: 837 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9838937, 0.9838937, 0.9838937, 0.9838937, 0.9838937]                 Progress: 84%|██████████████████████████████████▍ | ETA: 0:02:41 Iterations: 838 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98392975, 0.98392975, 0.98392975, 0.98392975, 0.98392975]                   Progress: 84%|██████████████████████████████████▍ | ETA: 0:02:39 Iterations: 839 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98396677, 0.98396677, 0.98396677, 0.98396677, 0.98396677]                   Progress: 84%|██████████████████████████████████▌ | ETA: 0:02:38 Iterations: 840 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98400265, 0.98400265, 0.98400265, 0.98400265, 0.98400265]                   Progress: 84%|██████████████████████████████████▌ | ETA: 0:02:37 Iterations: 841 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9840385, 0.9840385, 0.9840385, 0.9840385, 0.9840385]                 Progress: 84%|██████████████████████████████████▌ | ETA: 0:02:36 Iterations: 842 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98407525, 0.98407525, 0.98407525, 0.98407525, 0.98407525]                   Progress: 84%|██████████████████████████████████▋ | ETA: 0:02:35 Iterations: 843 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9841111, 0.9841111, 0.9841111, 0.9841111, 0.9841111]                 Progress: 84%|██████████████████████████████████▋ | ETA: 0:02:34 Iterations: 844 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98414665, 0.98414665, 0.98414665, 0.98414665, 0.98414665]                   Progress: 84%|██████████████████████████████████▋ | ETA: 0:02:33 Iterations: 845 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9841822, 0.9841822, 0.9841822, 0.9841822, 0.9841822]                 Progress: 85%|██████████████████████████████████▋ | ETA: 0:02:32 Iterations: 846 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98421764, 0.98421764, 0.98421764, 0.98421764, 0.98421764]                   Progress: 85%|██████████████████████████████████▊ | ETA: 0:02:31 Iterations: 847 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9842531, 0.9842531, 0.9842531, 0.9842531, 0.9842531]                 Progress: 85%|██████████████████████████████████▊ | ETA: 0:02:30 Iterations: 848 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98428845, 0.98428845, 0.98428845, 0.98428845, 0.98428845]                   Progress: 85%|██████████████████████████████████▊ | ETA: 0:02:29 Iterations: 849 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9843238, 0.9843238, 0.9843238, 0.9843238, 0.9843238]                 Progress: 85%|██████████████████████████████████▉ | ETA: 0:02:28 Iterations: 850 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.984359, 0.984359, 0.984359, 0.984359, 0.984359]                 Progress: 85%|██████████████████████████████████▉ | ETA: 0:02:26 Iterations: 851 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98439425, 0.98439425, 0.98439425, 0.98439425, 0.98439425]                   Progress: 85%|██████████████████████████████████▉ | ETA: 0:02:25 Iterations: 852 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98442924, 0.98442924, 0.98442924, 0.98442924, 0.98442924]                   Progress: 85%|███████████████████████████████████ | ETA: 0:02:24 Iterations: 853 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9844632, 0.9844632, 0.9844632, 0.9844632, 0.9844632]                 Progress: 85%|███████████████████████████████████ | ETA: 0:02:23 Iterations: 854 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9844982, 0.9844982, 0.9844982, 0.9844982, 0.9844982]                 Progress: 86%|███████████████████████████████████ | ETA: 0:02:22 Iterations: 855 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98453194, 0.98453194, 0.98453194, 0.98453194, 0.98453194]                   Progress: 86%|███████████████████████████████████▏ | ETA: 0:02:21 Iterations: 856 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98456687, 0.98456687, 0.98456687, 0.98456687, 0.98456687]                   Progress: 86%|███████████████████████████████████▏ | ETA: 0:02:20 Iterations: 857 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9846005, 0.9846005, 0.9846005, 0.9846005, 0.9846005]                 Progress: 86%|███████████████████████████████████▏ | ETA: 0:02:19 Iterations: 858 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98463535, 0.98463535, 0.98463535, 0.98463535, 0.98463535]                   Progress: 86%|███████████████████████████████████▎ | ETA: 0:02:18 Iterations: 859 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9846689, 0.9846689, 0.9846689, 0.9846689, 0.9846689]                 Progress: 86%|███████████████████████████████████▎ | ETA: 0:02:17 Iterations: 860 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9847023, 0.9847023, 0.9847023, 0.9847023, 0.9847023]                 Progress: 86%|███████████████████████████████████▎ | ETA: 0:02:16 Iterations: 861 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9847371, 0.9847371, 0.9847371, 0.9847371, 0.9847371]                 Progress: 86%|███████████████████████████████████▍ | ETA: 0:02:15 Iterations: 862 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9847704, 0.9847704, 0.9847704, 0.9847704, 0.9847704]                 Progress: 86%|███████████████████████████████████▍ | ETA: 0:02:14 Iterations: 863 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9848037, 0.9848037, 0.9848037, 0.9848037, 0.9848037]                 Progress: 86%|███████████████████████████████████▍ | ETA: 0:02:13 Iterations: 864 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.984837, 0.984837, 0.984837, 0.984837, 0.984837]                 Progress: 86%|███████████████████████████████████▌ | ETA: 0:02:12 Iterations: 865 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98487025, 0.98487025, 0.98487025, 0.98487025, 0.98487025]                   Progress: 87%|███████████████████████████████████▌ | ETA: 0:02:11 Iterations: 866 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98490334, 0.98490334, 0.98490334, 0.98490334, 0.98490334]                   Progress: 87%|███████████████████████████████████▌ | ETA: 0:02:09 Iterations: 867 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98493654, 0.98493654, 0.98493654, 0.98493654, 0.98493654]                   Progress: 87%|███████████████████████████████████▋ | ETA: 0:02:08 Iterations: 868 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9849696, 0.9849696, 0.9849696, 0.9849696, 0.9849696]                 Progress: 87%|███████████████████████████████████▋ | ETA: 0:02:07 Iterations: 869 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98500144, 0.98500144, 0.98500144, 0.98500144, 0.98500144]                   Progress: 87%|███████████████████████████████████▋ | ETA: 0:02:06 Iterations: 870 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9850344, 0.9850344, 0.9850344, 0.9850344, 0.9850344]                 Progress: 87%|███████████████████████████████████▊ | ETA: 0:02:05 Iterations: 871 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98506725, 0.98506725, 0.98506725, 0.98506725, 0.98506725]                   Progress: 87%|███████████████████████████████████▊ | ETA: 0:02:04 Iterations: 872 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9851001, 0.9851001, 0.9851001, 0.9851001, 0.9851001]                 Progress: 87%|███████████████████████████████████▊ | ETA: 0:02:03 Iterations: 873 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9851317, 0.9851317, 0.9851317, 0.9851317, 0.9851317]                 Progress: 87%|███████████████████████████████████▉ | ETA: 0:02:02 Iterations: 874 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9851645, 0.9851645, 0.9851645, 0.9851645, 0.9851645]                 Progress: 88%|███████████████████████████████████▉ | ETA: 0:02:01 Iterations: 875 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.985196, 0.985196, 0.985196, 0.985196, 0.985196]                 Progress: 88%|███████████████████████████████████▉ | ETA: 0:02:00 Iterations: 876 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98522866, 0.98522866, 0.98522866, 0.98522866, 0.98522866]                   Progress: 88%|████████████████████████████████████ | ETA: 0:01:59 Iterations: 877 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98526, 0.98526, 0.98526, 0.98526, 0.98526]                 Progress: 88%|████████████████████████████████████ | ETA: 0:01:58 Iterations: 878 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9852915, 0.9852915, 0.9852915, 0.9852915, 0.9852915]                 Progress: 88%|████████████████████████████████████ | ETA: 0:01:57 Iterations: 879 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98532385, 0.98532385, 0.98532385, 0.98532385, 0.98532385]                   Progress: 88%|████████████████████████████████████▏ | ETA: 0:01:56 Iterations: 880 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98535514, 0.98535514, 0.98535514, 0.98535514, 0.98535514]                   Progress: 88%|████████████████████████████████████▏ | ETA: 0:01:55 Iterations: 881 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9853864, 0.9853864, 0.9853864, 0.9853864, 0.9853864]                 Progress: 88%|████████████████████████████████████▏ | ETA: 0:01:54 Iterations: 882 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9854176, 0.9854176, 0.9854176, 0.9854176, 0.9854176]                 Progress: 88%|████████████████████████████████████▎ | ETA: 0:01:53 Iterations: 883 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98544866, 0.98544866, 0.98544866, 0.98544866, 0.98544866]                   Progress: 88%|████████████████████████████████████▎ | ETA: 0:01:52 Iterations: 884 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9854798, 0.9854798, 0.9854798, 0.9854798, 0.9854798]                 Progress: 88%|████████████████████████████████████▎ | ETA: 0:01:51 Iterations: 885 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9855108, 0.9855108, 0.9855108, 0.9855108, 0.9855108]                 Progress: 89%|████████████████████████████████████▍ | ETA: 0:01:50 Iterations: 886 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98554176, 0.98554176, 0.98554176, 0.98554176, 0.98554176]                   Progress: 89%|████████████████████████████████████▍ | ETA: 0:01:49 Iterations: 887 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98557264, 0.98557264, 0.98557264, 0.98557264, 0.98557264]                   Progress: 89%|████████████████████████████████████▍ | ETA: 0:01:48 Iterations: 888 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98560345, 0.98560345, 0.98560345, 0.98560345, 0.98560345]                   Progress: 89%|████████████████████████████████████▌ | ETA: 0:01:47 Iterations: 889 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98563427, 0.98563427, 0.98563427, 0.98563427, 0.98563427]                   Progress: 89%|████████████████████████████████████▌ | ETA: 0:01:46 Iterations: 890 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9856639, 0.9856639, 0.9856639, 0.9856639, 0.9856639]                 Progress: 89%|████████████████████████████████████▌ | ETA: 0:01:45 Iterations: 891 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9856946, 0.9856946, 0.9856946, 0.9856946, 0.9856946]                 Progress: 89%|████████████████████████████████████▋ | ETA: 0:01:44 Iterations: 892 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98572516, 0.98572516, 0.98572516, 0.98572516, 0.98572516]                   Progress: 89%|████████████████████████████████████▋ | ETA: 0:01:43 Iterations: 893 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9857547, 0.9857547, 0.9857547, 0.9857547, 0.9857547]                 Progress: 89%|████████████████████████████████████▋ | ETA: 0:01:42 Iterations: 894 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9857853, 0.9857853, 0.9857853, 0.9857853, 0.9857853]                 Progress: 90%|████████████████████████████████████▊ | ETA: 0:01:41 Iterations: 895 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98581463, 0.98581463, 0.98581463, 0.98581463, 0.98581463]                   Progress: 90%|████████████████████████████████████▊ | ETA: 0:01:40 Iterations: 896 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9858452, 0.9858452, 0.9858452, 0.9858452, 0.9858452]                 Progress: 90%|████████████████████████████████████▊ | ETA: 0:01:39 Iterations: 897 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9858744, 0.9858744, 0.9858744, 0.9858744, 0.9858744]                 Progress: 90%|████████████████████████████████████▉ | ETA: 0:01:38 Iterations: 898 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98590475, 0.98590475, 0.98590475, 0.98590475, 0.98590475]                   Progress: 90%|████████████████████████████████████▉ | ETA: 0:01:37 Iterations: 899 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98593396, 0.98593396, 0.98593396, 0.98593396, 0.98593396]                   Progress: 90%|████████████████████████████████████▉ | ETA: 0:01:36 Iterations: 900 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98596305, 0.98596305, 0.98596305, 0.98596305, 0.98596305]                   Progress: 90%|█████████████████████████████████████ | ETA: 0:01:35 Iterations: 901 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98599213, 0.98599213, 0.98599213, 0.98599213, 0.98599213]                   Progress: 90%|█████████████████████████████████████ | ETA: 0:01:34 Iterations: 902 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98602223, 0.98602223, 0.98602223, 0.98602223, 0.98602223]                   Progress: 90%|█████████████████████████████████████ | ETA: 0:01:33 Iterations: 903 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9860513, 0.9860513, 0.9860513, 0.9860513, 0.9860513]                 Progress: 90%|█████████████████████████████████████▏ | ETA: 0:01:32 Iterations: 904 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98608035, 0.98608035, 0.98608035, 0.98608035, 0.98608035]                   Progress: 90%|█████████████████████████████████████▏ | ETA: 0:01:31 Iterations: 905 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9861092, 0.9861092, 0.9861092, 0.9861092, 0.9861092]                 Progress: 91%|█████████████████████████████████████▏ | ETA: 0:01:30 Iterations: 906 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98613805, 0.98613805, 0.98613805, 0.98613805, 0.98613805]                   Progress: 91%|█████████████████████████████████████▏ | ETA: 0:01:29 Iterations: 907 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9861668, 0.9861668, 0.9861668, 0.9861668, 0.9861668]                 Progress: 91%|█████████████████████████████████████▎ | ETA: 0:01:28 Iterations: 908 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98619556, 0.98619556, 0.98619556, 0.98619556, 0.98619556]                   Progress: 91%|█████████████████████████████████████▎ | ETA: 0:01:27 Iterations: 909 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9862243, 0.9862243, 0.9862243, 0.9862243, 0.9862243]                 Progress: 91%|█████████████████████████████████████▎ | ETA: 0:01:26 Iterations: 910 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9862531, 0.9862531, 0.9862531, 0.9862531, 0.9862531]                 Progress: 91%|█████████████████████████████████████▍ | ETA: 0:01:25 Iterations: 911 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98628044, 0.98628044, 0.98628044, 0.98628044, 0.98628044]                   Progress: 91%|█████████████████████████████████████▍ | ETA: 0:01:24 Iterations: 912 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98630893, 0.98630893, 0.98630893, 0.98630893, 0.98630893]                   Progress: 91%|█████████████████████████████████████▍ | ETA: 0:01:23 Iterations: 913 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9863376, 0.9863376, 0.9863376, 0.9863376, 0.9863376]                 Progress: 91%|█████████████████████████████████████▌ | ETA: 0:01:22 Iterations: 914 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98636615, 0.98636615, 0.98636615, 0.98636615, 0.98636615]                   Progress: 92%|█████████████████████████████████████▌ | ETA: 0:01:21 Iterations: 915 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9863933, 0.9863933, 0.9863933, 0.9863933, 0.9863933]                 Progress: 92%|█████████████████████████████████████▌ | ETA: 0:01:20 Iterations: 916 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9864218, 0.9864218, 0.9864218, 0.9864218, 0.9864218]                 Progress: 92%|█████████████████████████████████████▋ | ETA: 0:01:19 Iterations: 917 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98644894, 0.98644894, 0.98644894, 0.98644894, 0.98644894]                   Progress: 92%|█████████████████████████████████████▋ | ETA: 0:01:18 Iterations: 918 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98647726, 0.98647726, 0.98647726, 0.98647726, 0.98647726]                   Progress: 92%|█████████████████████████████████████▋ | ETA: 0:01:17 Iterations: 919 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9865043, 0.9865043, 0.9865043, 0.9865043, 0.9865043]                 Progress: 92%|█████████████████████████████████████▊ | ETA: 0:01:16 Iterations: 920 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98653257, 0.98653257, 0.98653257, 0.98653257, 0.98653257]                   Progress: 92%|█████████████████████████████████████▊ | ETA: 0:01:15 Iterations: 921 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9865596, 0.9865596, 0.9865596, 0.9865596, 0.9865596]                 Progress: 92%|█████████████████████████████████████▊ | ETA: 0:01:14 Iterations: 922 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9865867, 0.9865867, 0.9865867, 0.9865867, 0.9865867]                 Progress: 92%|█████████████████████████████████████▉ | ETA: 0:01:13 Iterations: 923 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98661476, 0.98661476, 0.98661476, 0.98661476, 0.98661476]                   Progress: 92%|█████████████████████████████████████▉ | ETA: 0:01:12 Iterations: 924 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98664165, 0.98664165, 0.98664165, 0.98664165, 0.98664165]                   Progress: 92%|█████████████████████████████████████▉ | ETA: 0:01:11 Iterations: 925 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98666847, 0.98666847, 0.98666847, 0.98666847, 0.98666847]                   Progress: 93%|██████████████████████████████████████ | ETA: 0:01:10 Iterations: 926 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9866954, 0.9866954, 0.9866954, 0.9866954, 0.9866954]                 Progress: 93%|██████████████████████████████████████ | ETA: 0:01:09 Iterations: 927 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9867221, 0.9867221, 0.9867221, 0.9867221, 0.9867221]                 Progress: 93%|██████████████████████████████████████ | ETA: 0:01:08 Iterations: 928 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98675007, 0.98675007, 0.98675007, 0.98675007, 0.98675007]                   Progress: 93%|██████████████████████████████████████▏ | ETA: 0:01:07 Iterations: 929 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98677677, 0.98677677, 0.98677677, 0.98677677, 0.98677677]                   Progress: 93%|██████████████████████████████████████▏ | ETA: 0:01:06 Iterations: 930 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98680335, 0.98680335, 0.98680335, 0.98680335, 0.98680335]                   Progress: 93%|██████████████████████████████████████▏ | ETA: 0:01:05 Iterations: 931 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98683006, 0.98683006, 0.98683006, 0.98683006, 0.98683006]                   Progress: 93%|██████████████████████████████████████▎ | ETA: 0:01:04 Iterations: 932 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98685664, 0.98685664, 0.98685664, 0.98685664, 0.98685664]                   Progress: 93%|██████████████████████████████████████▎ | ETA: 0:01:03 Iterations: 933 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9868831, 0.9868831, 0.9868831, 0.9868831, 0.9868831]                 Progress: 93%|██████████████████████████████████████▎ | ETA: 0:01:02 Iterations: 934 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98690856, 0.98690856, 0.98690856, 0.98690856, 0.98690856]                   Progress: 94%|██████████████████████████████████████▍ | ETA: 0:01:01 Iterations: 935 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.986935, 0.986935, 0.986935, 0.986935, 0.986935]                 Progress: 94%|██████████████████████████████████████▍ | ETA: 0:01:00 Iterations: 936 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98696125, 0.98696125, 0.98696125, 0.98696125, 0.98696125]                   Progress: 94%|██████████████████████████████████████▍ | ETA: 0:00:59 Iterations: 937 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9869877, 0.9869877, 0.9869877, 0.9869877, 0.9869877]                 Progress: 94%|██████████████████████████████████████▌ | ETA: 0:00:58 Iterations: 938 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9870129, 0.9870129, 0.9870129, 0.9870129, 0.9870129]                 Progress: 94%|██████████████████████████████████████▌ | ETA: 0:00:57 Iterations: 939 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98703915, 0.98703915, 0.98703915, 0.98703915, 0.98703915]                   Progress: 94%|██████████████████████████████████████▌ | ETA: 0:00:56 Iterations: 940 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98706543, 0.98706543, 0.98706543, 0.98706543, 0.98706543]                   Progress: 94%|██████████████████████████████████████▋ | ETA: 0:00:55 Iterations: 941 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9870905, 0.9870905, 0.9870905, 0.9870905, 0.9870905]                 Progress: 94%|██████████████████████████████████████▋ | ETA: 0:00:54 Iterations: 942 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98711663, 0.98711663, 0.98711663, 0.98711663, 0.98711663]                   Progress: 94%|██████████████████████████████████████▋ | ETA: 0:00:53 Iterations: 943 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9871416, 0.9871416, 0.9871416, 0.9871416, 0.9871416]                 Progress: 94%|██████████████████████████████████████▊ | ETA: 0:00:52 Iterations: 944 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9871678, 0.9871678, 0.9871678, 0.9871678, 0.9871678]                 Progress: 94%|██████████████████████████████████████▊ | ETA: 0:00:51 Iterations: 945 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98719275, 0.98719275, 0.98719275, 0.98719275, 0.98719275]                   Progress: 95%|██████████████████████████████████████▊ | ETA: 0:00:50 Iterations: 946 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9872186, 0.9872186, 0.9872186, 0.9872186, 0.9872186]                 Progress: 95%|██████████████████████████████████████▉ | ETA: 0:00:49 Iterations: 947 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9872436, 0.9872436, 0.9872436, 0.9872436, 0.9872436]                 Progress: 95%|██████████████████████████████████████▉ | ETA: 0:00:48 Iterations: 948 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9872695, 0.9872695, 0.9872695, 0.9872695, 0.9872695]                 Progress: 95%|██████████████████████████████████████▉ | ETA: 0:00:48 Iterations: 949 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98729414, 0.98729414, 0.98729414, 0.98729414, 0.98729414]                   Progress: 95%|███████████████████████████████████████ | ETA: 0:00:47 Iterations: 950 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98731905, 0.98731905, 0.98731905, 0.98731905, 0.98731905]                   Progress: 95%|███████████████████████████████████████ | ETA: 0:00:46 Iterations: 951 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98734367, 0.98734367, 0.98734367, 0.98734367, 0.98734367]                   Progress: 95%|███████████████████████████████████████ | ETA: 0:00:45 Iterations: 952 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9873695, 0.9873695, 0.9873695, 0.9873695, 0.9873695]                 Progress: 95%|███████████████████████████████████████▏ | ETA: 0:00:44 Iterations: 953 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.987394, 0.987394, 0.987394, 0.987394, 0.987394]                 Progress: 95%|███████████████████████████████████████▏ | ETA: 0:00:43 Iterations: 954 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98741865, 0.98741865, 0.98741865, 0.98741865, 0.98741865]                   Progress: 96%|███████████████████████████████████████▏ | ETA: 0:00:42 Iterations: 955 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98744327, 0.98744327, 0.98744327, 0.98744327, 0.98744327]                   Progress: 96%|███████████████████████████████████████▎ | ETA: 0:00:41 Iterations: 956 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98746765, 0.98746765, 0.98746765, 0.98746765, 0.98746765]                   Progress: 96%|███████████████████████████████████████▎ | ETA: 0:00:40 Iterations: 957 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9874922, 0.9874922, 0.9874922, 0.9874922, 0.9874922]                 Progress: 96%|███████████████████████████████████████▎ | ETA: 0:00:39 Iterations: 958 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98751664, 0.98751664, 0.98751664, 0.98751664, 0.98751664]                   Progress: 96%|███████████████████████████████████████▍ | ETA: 0:00:38 Iterations: 959 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.987541, 0.987541, 0.987541, 0.987541, 0.987541]                 Progress: 96%|███████████████████████████████████████▍ | ETA: 0:00:37 Iterations: 960 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98756534, 0.98756534, 0.98756534, 0.98756534, 0.98756534]                   Progress: 96%|███████████████████████████████████████▍ | ETA: 0:00:36 Iterations: 961 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9875897, 0.9875897, 0.9875897, 0.9875897, 0.9875897]                 Progress: 96%|███████████████████████████████████████▌ | ETA: 0:00:35 Iterations: 962 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9876139, 0.9876139, 0.9876139, 0.9876139, 0.9876139]                 Progress: 96%|███████████████████████████████████████▌ | ETA: 0:00:34 Iterations: 963 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9876369, 0.9876369, 0.9876369, 0.9876369, 0.9876369]                 Progress: 96%|███████████████████████████████████████▌ | ETA: 0:00:33 Iterations: 964 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98766124, 0.98766124, 0.98766124, 0.98766124, 0.98766124]                   Progress: 96%|███████████████████████████████████████▋ | ETA: 0:00:32 Iterations: 965 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98768544, 0.98768544, 0.98768544, 0.98768544, 0.98768544]                   Progress: 97%|███████████████████████████████████████▋ | ETA: 0:00:31 Iterations: 966 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98770964, 0.98770964, 0.98770964, 0.98770964, 0.98770964]                   Progress: 97%|███████████████████████████████████████▋ | ETA: 0:00:30 Iterations: 967 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9877325, 0.9877325, 0.9877325, 0.9877325, 0.9877325]                 Progress: 97%|███████████████████████████████████████▊ | ETA: 0:00:30 Iterations: 968 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9877566, 0.9877566, 0.9877566, 0.9877566, 0.9877566]                 Progress: 97%|███████████████████████████████████████▊ | ETA: 0:00:29 Iterations: 969 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9877807, 0.9877807, 0.9877807, 0.9877807, 0.9877807]                 Progress: 97%|███████████████████████████████████████▊ | ETA: 0:00:28 Iterations: 970 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9878035, 0.9878035, 0.9878035, 0.9878035, 0.9878035]                 Progress: 97%|███████████████████████████████████████▊ | ETA: 0:00:27 Iterations: 971 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9878275, 0.9878275, 0.9878275, 0.9878275, 0.9878275]                 Progress: 97%|███████████████████████████████████████▉ | ETA: 0:00:26 Iterations: 972 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98785025, 0.98785025, 0.98785025, 0.98785025, 0.98785025]                   Progress: 97%|███████████████████████████████████████▉ | ETA: 0:00:25 Iterations: 973 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9878742, 0.9878742, 0.9878742, 0.9878742, 0.9878742]                 Progress: 97%|███████████████████████████████████████▉ | ETA: 0:00:24 Iterations: 974 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9878968, 0.9878968, 0.9878968, 0.9878968, 0.9878968]                 Progress: 98%|████████████████████████████████████████ | ETA: 0:00:23 Iterations: 975 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98792076, 0.98792076, 0.98792076, 0.98792076, 0.98792076]                   Progress: 98%|████████████████████████████████████████ | ETA: 0:00:22 Iterations: 976 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98794335, 0.98794335, 0.98794335, 0.98794335, 0.98794335]                   Progress: 98%|████████████████████████████████████████ | ETA: 0:00:21 Iterations: 977 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9879671, 0.9879671, 0.9879671, 0.9879671, 0.9879671]                 Progress: 98%|████████████████████████████████████████▏| ETA: 0:00:20 Iterations: 978 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9879897, 0.9879897, 0.9879897, 0.9879897, 0.9879897]                 Progress: 98%|████████████████████████████████████████▏| ETA: 0:00:19 Iterations: 979 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9880122, 0.9880122, 0.9880122, 0.9880122, 0.9880122]                 Progress: 98%|████████████████████████████████████████▏| ETA: 0:00:18 Iterations: 980 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98803467, 0.98803467, 0.98803467, 0.98803467, 0.98803467]                   Progress: 98%|████████████████████████████████████████▎| ETA: 0:00:17 Iterations: 981 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9880584, 0.9880584, 0.9880584, 0.9880584, 0.9880584]                 Progress: 98%|████████████████████████████████████████▎| ETA: 0:00:17 Iterations: 982 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98808086, 0.98808086, 0.98808086, 0.98808086, 0.98808086]                   Progress: 98%|████████████████████████████████████████▎| ETA: 0:00:16 Iterations: 983 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9881032, 0.9881032, 0.9881032, 0.9881032, 0.9881032]                 Progress: 98%|████████████████████████████████████████▍| ETA: 0:00:15 Iterations: 984 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98812556, 0.98812556, 0.98812556, 0.98812556, 0.98812556]                   Progress: 98%|████████████████████████████████████████▍| ETA: 0:00:14 Iterations: 985 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9881479, 0.9881479, 0.9881479, 0.9881479, 0.9881479]                 Progress: 99%|████████████████████████████████████████▍| ETA: 0:00:13 Iterations: 986 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98817027, 0.98817027, 0.98817027, 0.98817027, 0.98817027]                   Progress: 99%|████████████████████████████████████████▌| ETA: 0:00:12 Iterations: 987 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9881926, 0.9881926, 0.9881926, 0.9881926, 0.9881926]                 Progress: 99%|████████████████████████████████████████▌| ETA: 0:00:11 Iterations: 988 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98821497, 0.98821497, 0.98821497, 0.98821497, 0.98821497]                   Progress: 99%|████████████████████████████████████████▌| ETA: 0:00:10 Iterations: 989 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9882371, 0.9882371, 0.9882371, 0.9882371, 0.9882371]                 Progress: 99%|████████████████████████████████████████▋| ETA: 0:00:09 Iterations: 990 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9882593, 0.9882593, 0.9882593, 0.9882593, 0.9882593]                 Progress: 99%|████████████████████████████████████████▋| ETA: 0:00:08 Iterations: 991 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9882814, 0.9882814, 0.9882814, 0.9882814, 0.9882814]                 Progress: 99%|████████████████████████████████████████▋| ETA: 0:00:07 Iterations: 992 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98830354, 0.98830354, 0.98830354, 0.98830354, 0.98830354]                   Progress: 99%|████████████████████████████████████████▊| ETA: 0:00:06 Iterations: 993 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9883257, 0.9883257, 0.9883257, 0.9883257, 0.9883257]                 Progress: 99%|████████████████████████████████████████▊| ETA: 0:00:05 Iterations: 994 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9883477, 0.9883477, 0.9883477, 0.9883477, 0.9883477]                 Progress: 99%|████████████████████████████████████████▊| ETA: 0:00:05 Iterations: 995 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9883698, 0.9883698, 0.9883698, 0.9883698, 0.9883698]                 Progress: 99%|████████████████████████████████████████▉| ETA: 0:00:04 Iterations: 996 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9883918, 0.9883918, 0.9883918, 0.9883918, 0.9883918]                 Progress: 99%|████████████████████████████████████████▉| ETA: 0:00:03 Iterations: 997 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9884127, 0.9884127, 0.9884127, 0.9884127, 0.9884127]                 Progress: 99%|████████████████████████████████████████▉| ETA: 0:00:02 Iterations: 998 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98843455, 0.98843455, 0.98843455, 0.98843455, 0.98843455]                   Progress: 99%|█████████████████████████████████████████| ETA: 0:00:01 Iterations: 999 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.9884565, 0.9884565, 0.9884565, 0.9884565, 0.9884565]                 Progress: 100%|█████████████████████████████████████████| Time: 0:15:10 Iterations: 1000 RSS: [0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597, 0.004850810486761597] Minimum: 80.89769237508845 Maximum: 80.89769237508845 Mode: 80.89769237508845 Mean: 80.89769237508845 Probabilities: Float32[0.98847723, 0.98847723, 0.98847723, 0.98847723, 0.98847723] ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 365 running 1 of 1 signal (10): User defined signal 1 _ZN4llvm17LiveIntervalUnion5Query23collectInterferingVRegsEj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13LiveRegMatrix17checkInterferenceERKNS_12LiveIntervalENS_10MCRegisterE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy9tryAssignERKNS_12LiveIntervalERNS_15AllocationOrderERNS_15SmallVectorImplINS_8RegisterEEERKNS_8SmallSetIS7_Lj16ESt4lessIS7_EEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy17selectOrSplitImplERKNS_12LiveIntervalERNS_15SmallVectorImplINS_8RegisterEEERNS_8SmallSetIS5_Lj16ESt4lessIS5_EEERNS_11SmallVectorISt4pairIPS2_NS_10MCRegisterEELj8EEEj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy13selectOrSplitERKNS_12LiveIntervalERNS_15SmallVectorImplINS_8RegisterEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm12RegAllocBase16allocatePhysRegsEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy20runOnMachineFunctionERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) operator() at /source/src/jitlayers.cpp:1628 addModule at /source/src/jitlayers.cpp:2119 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:876 jl_compile_method_internal at /source/src/gf.c:3648 _jl_invoke at /source/src/gf.c:4108 [inlined] ijl_apply_generic at /source/src/gf.c:4313 lt at ./ordering.jl:126 [inlined] _sort! at ./sort.jl:845 #_sort!#20 at ./sort.jl:1165 _sort! at ./sort.jl:1123 [inlined] #_sort!#20 at ./sort.jl:1158 _sort! at ./sort.jl:1123 [inlined] _sort! at ./sort.jl:1380 _sort! at ./sort.jl:780 [inlined] _sort! at ./sort.jl:731 [inlined] _sort! at ./sort.jl:802 [inlined] _sort! at ./sort.jl:747 [inlined] _sort! at ./sort.jl:686 [inlined] _sort! at ./sort.jl:561 [inlined] _sort! at ./sort.jl:1594 [inlined] #sort!#24 at ./sort.jl:1741 [inlined] sort! at ./sort.jl:1734 unknown function (ip: 0x734bdc18ea69) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #sortperm!#32 at ./sort.jl:2055 unknown function (ip: 0x734bdc18c6ac) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 sortperm! at ./sort.jl:2039 [inlined] update_cache! at /home/pkgeval/.julia/packages/DataDrivenLux/Zr0mO/src/caches/cache.jl:114 unknown function (ip: 0x734bdc14755b) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 solve! at /home/pkgeval/.julia/packages/DataDrivenLux/Zr0mO/src/solve.jl:36 unknown function (ip: 0x734bdc2fbaf4) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #solve#1 at /home/pkgeval/.julia/packages/CommonSolve/JfpfI/src/CommonSolve.jl:23 solve at /home/pkgeval/.julia/packages/CommonSolve/JfpfI/src/CommonSolve.jl:23 unknown function (ip: 0x734bdc2f6691) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2994 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3054 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 unknown function (ip: 0x734c5b121a72) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_eval_module_expr at /source/src/toplevel.c:248 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:650 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 jfptr_eval_1854.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2994 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3054 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_56223.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 exec_options at ./client.jl:310 _start at ./client.jl:577 jfptr__start_52263.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x734c6464c249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) #= 118.8 ms =# precompile(Tuple{typeof(Base.Order.lt), Base.Order.By{typeof(StatsAPI.bic), Base.Order.ForwardOrdering}, DataDrivenLux.Candidate{StableRNGs.LehmerRNG, NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), Tuple{NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1,), Tuple{NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}}}, NamedTuple{(), Tuple{}}}}}}, ComponentArrays.ComponentArray{Float32, 1, Array{Float32, 1}, Tuple{ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3= ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=44), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=45, stop=84), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=85, stop=97), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=14, stop=13), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=14, stop=13), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=14, stop=13), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()))}}}, Array{DataDrivenLux.PathState{Float64, Tuple{}, Tuple{Tuple{Int64, Int64}}}, 1}, Array{DataDrivenLux.PathState{Float64, Tuple{typeof(Base.identity), typeof(Base.:(+)), DataDrivenLux.var"###sin#141", typeof(Base.:(+)), typeof(Base.:(+))}, NTuple{9, Tuple{Int64, Int64}}}, 1}, DataDrivenLux.PathStatistics{Float64}, DataDrivenLux.ObservedModel{true, 1}, DataDrivenLux.ParameterDistributions{Float64, 0}, Array{Float64, 1}, Array{Float64, 1}, DataDrivenLux.ComponentModel{DataDrivenDiffEq.Basis{false, false}, DataDrivenLux.LayeredDAG{Lux.Chain{NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), Tuple{DataDrivenLux.FunctionLayer{Lux.Parallel{typeof(Base.vcat), NamedTuple{(:layer_1, :layer_2), Tuple{Lux.Chain{NamedTuple{(:layer_1, :layer_2), Tuple{Lux.BranchLayer{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(1, 1), DataDrivenLux.var"###sin#141", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(1, 2), DataDrivenLux.var"###exp#144", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(1, 3), typeof(Base.:(+)), DataDrivenLux.DirectSimplex}}}}, Nothing, Nothing}, Lux.WrappedFunction{Base.Splat{typeof(Base.vcat)}}}}, Nothing}, Lux.NoOpLayer}}, Nothing}, Bool}, DataDrivenLux.FunctionLayer{Lux.Parallel{typeof(Base.vcat), NamedTuple{(:layer_1, :layer_2), Tuple{Lux.Chain{NamedTuple{(:layer_1, :layer_2), Tuple{Lux.BranchLayer{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(2, 1), DataDrivenLux.var"###sin#141", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(2, 2), DataDrivenLux.var"###exp#144", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(2, 3), typeof(Base.:(+)), DataDrivenLux.DirectSimplex}}}}, Nothing, Nothing}, Lux.WrappedFunction{Base.Splat{typeof(Base.vcat)}}}}, Nothing}, Lux.NoOpLayer}}, Nothing}, Bool}, DataDrivenLux.FunctionLayer{Lux.Parallel{typeof(Base.vcat), NamedTuple{(:layer_1, :layer_2), Tuple{Lux.Chain{NamedTuple{(:layer_1, :layer_2), Tuple{Lux.BranchLayer{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(3, 1), DataDrivenLux.var"###sin#141", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(3, 2), DataDrivenLux.var"###exp#144", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(3, 3), typeof(Base.:(+)), DataDrivenLux.DirectSimplex}}}}, Nothing, Nothing}, Lux.WrappedFunction{Base.Splat{typeof(Base.vcat)}}}}, Nothing}, Lux.NoOpLayer}}, Nothing}, Bool}, DataDrivenLux.FunctionLayer{Lux.Chain{NamedTuple{(:layer_1, :layer_2), Tuple{Lux.BranchLayer{NamedTuple{(:layer_1,), Tuple{DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(4, 1), typeof(Base.identity), DataDrivenLux.DirectSimplex}}}}, Nothing, Nothing}, Lux.WrappedFunction{Base.Splat{typeof(Base.vcat)}}}}, Nothing}, Bool}}}, Nothing}}}}, DataDrivenLux.Candidate{StableRNGs.LehmerRNG, NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), Tuple{NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}, NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, NamedTuple{(:layer_1, :layer_2), Tuple{NamedTuple{(:layer_1,), Tuple{NamedTuple{(:priors, :active_inputs, :temperature, :rng), Tuple{Array{Float32, 2}, Array{Int64, 1}, Float32, StableRNGs.LehmerRNG}}}}, NamedTuple{(), Tuple{}}}}}}, ComponentArrays.ComponentArray{Float32, 1, Array{Float32, 1}, Tuple{ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=16), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=5, stop=8), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=4), nothing, ComponentArrays.ShapedAxis{(4, 1)}}(ax=ComponentArrays.ShapedAxis{(4, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=9, stop=16), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=8), nothing, ComponentArrays.ShapedAxis{(4, 2)}}(ax=ComponentArrays.ShapedAxis{(4, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=16), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=17, stop=44), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=28), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=8, stop=14), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=7), nothing, ComponentArrays.ShapedAxis{(7, 1)}}(ax=ComponentArrays.ShapedAxis{(7, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=15, stop=28), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=14), nothing, ComponentArrays.ShapedAxis{(7, 2)}}(ax=ComponentArrays.ShapedAxis{(7, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=29, stop=28), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=45, stop=84), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=40), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=11, stop=20), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=10), nothing, ComponentArrays.ShapedAxis{(10, 1)}}(ax=ComponentArrays.ShapedAxis{(10, 1)}()),)}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=21, stop=40), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=20), nothing, ComponentArrays.ShapedAxis{(10, 2)}}(ax=ComponentArrays.ShapedAxis{(10, 2)}()),)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=41, stop=40), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=85, stop=97), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=14, stop=13), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=14, stop=13), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), (weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),), ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}}(ax=ComponentArrays.Axis{(weights=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=13), nothing, ComponentArrays.ShapedAxis{(13, 1)}}(ax=ComponentArrays.ShapedAxis{(13, 1)}()),)}()),)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=14, stop=13), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()))}()))}}}, Array{DataDrivenLux.PathState{Float64, Tuple{}, Tuple{Tuple{Int64, Int64}}}, 1}, Array{DataDrivenLux.PathState{Float64, Tuple{typeof(Base.identity), DataDrivenLux.var"###exp#144"}, Tuple{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{Int64, Int64}}}, 1}, DataDrivenLux.PathStatistics{Float64}, DataDrivenLux.ObservedModel{true, 1}, DataDrivenLux.ParameterDistributions{Float64, 0}, Array{Float64, 1}, Array{Float64, 1}, DataDrivenLux.ComponentModel{DataDrivenDiffEq.Basis{false, false}, DataDrivenLux.LayeredDAG{Lux.Chain{NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), Tuple{DataDrivenLux.FunctionLayer{Lux.Parallel{typeof(Base.vcat), NamedTuple{(:layer_1, :layer_2), Tuple{Lux.Chain{NamedTuple{(:layer_1, :layer_2), Tuple{Lux.BranchLayer{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(1, 1), DataDrivenLux.var"###sin#141", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(1, 2), DataDrivenLux.var"###exp#144", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(1, 3), typeof(Base.:(+)), DataDrivenLux.DirectSimplex}}}}, Nothing, Nothing}, Lux.WrappedFunction{Base.Splat{typeof(Base.vcat)}}}}, Nothing}, Lux.NoOpLayer}}, Nothing}, Bool}, DataDrivenLux.FunctionLayer{Lux.Parallel{typeof(Base.vcat), NamedTuple{(:layer_1, :layer_2), Tuple{Lux.Chain{NamedTuple{(:layer_1, :layer_2), Tuple{Lux.BranchLayer{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(2, 1), DataDrivenLux.var"###sin#141", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(2, 2), DataDrivenLux.var"###exp#144", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(2, 3), typeof(Base.:(+)), DataDrivenLux.DirectSimplex}}}}, Nothing, Nothing}, Lux.WrappedFunction{Base.Splat{typeof(Base.vcat)}}}}, Nothing}, Lux.NoOpLayer}}, Nothing}, Bool}, DataDrivenLux.FunctionLayer{Lux.Parallel{typeof(Base.vcat), NamedTuple{(:layer_1, :layer_2), Tuple{Lux.Chain{NamedTuple{(:layer_1, :layer_2), Tuple{Lux.BranchLayer{NamedTuple{(:layer_1, :layer_2, :layer_3), Tuple{DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(3, 1), DataDrivenLux.var"###sin#141", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(3, 2), DataDrivenLux.var"###exp#144", DataDrivenLux.DirectSimplex}}, DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(3, 3), typeof(Base.:(+)), DataDrivenLux.DirectSimplex}}}}, Nothing, Nothing}, Lux.WrappedFunction{Base.Splat{typeof(Base.vcat)}}}}, Nothing}, Lux.NoOpLayer}}, Nothing}, Bool}, DataDrivenLux.FunctionLayer{Lux.Chain{NamedTuple{(:layer_1, :layer_2), Tuple{Lux.BranchLayer{NamedTuple{(:layer_1,), Tuple{DataDrivenLux.FunctionNode{DataDrivenLux.InternalFunctionNode{(4, 1), typeof(Base.identity), DataDrivenLux.DirectSimplex}}}}, Nothing, Nothing}, Lux.WrappedFunction{Base.Splat{typeof(Base.vcat)}}}}, Nothing}, Bool}}}, Nothing}}}}}) ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_65246.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] start_task at /source/src/task.c:1272 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000078a80fa791e0 Total snapshots: 529. Utilization: 0% ╎529 @Base/task.jl:1168 wait_forever() 528╎ 529 @Base/task.jl:1246 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_65246.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] start_task at /source/src/task.c:1272 unknown function (ip: (nil)) at (unknown file) Allocations: 24931271 (Pool: 24930567; Big: 704); GC: 23 [365] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/DataDrivenLux/Zr0mO/test/crossentropy_solve.jl:41 _ZNK4llvm18TargetRegisterInfo21getRegAllocationHintsENS_8RegisterENS_8ArrayRefItEERNS_15SmallVectorImplItEERKNS_15MachineFunctionEPKNS_10VirtRegMapEPKNS_13LiveRegMatrixE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) unknown function (ip: (nil)) at (unknown file) unknown function (ip: (nil)) at (unknown file) Allocations: 1923681106 (Pool: 1923677822; Big: 3284); GC: 243 PkgEval terminated after 2727.85s: test duration exceeded the time limit