Package evaluation of Gogeta on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-24T23:38:13.930 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.99s ################################################################################ # Installation # Installing Gogeta... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [8b0c908c] + Gogeta v0.3.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.1 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [6e4b80f9] + BenchmarkTools v1.6.0 [fa961155] + CEnum v0.5.0 [324d7699] + CategoricalArrays v0.10.8 [082447d4] + ChainRules v1.72.3 [d360d2e6] + ChainRulesCore v1.25.1 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.5.8 [6add18c4] + ContextVariablesX v0.1.3 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [31c24e10] + Distributions v0.25.118 [ffbed154] + DocStringExtensions v0.9.3 ⌅ [f6006082] + EvoTrees v0.16.9 [411431e0] + Extents v0.1.5 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [1a297f60] + FillArrays v1.13.0 ⌅ [587475ba] + Flux v0.14.25 [f6369f11] + ForwardDiff v0.10.38 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.2.2 [46192b85] + GPUArraysCore v0.2.0 [68eda718] + GeoFormatTypes v0.4.4 [cf35fbd7] + GeoInterface v1.4.1 [5c1252a2] + GeometryBasics v0.5.5 [8b0c908c] + Gogeta v0.3.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.14 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.1 [4076af6c] + JuMP v1.24.0 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.34 [929cbde3] + LLVM v9.2.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 [e80e1ace] + MLJModelInterface v1.11.0 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.15 [b8f27783] + MathOptInterface v1.38.0 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.4 [872c559c] + NNlib v0.9.29 [77ba4419] + NaNMath v1.1.2 [71a1bf82] + NameResolution v0.1.5 [46757867] + NetworkLayout v0.4.9 [0b1bfda6] + OneHotArrays v0.2.6 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.32 [69de0a69] + Parsers v2.8.1 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [33c8b6b6] + ProgressLogging v0.1.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.3.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.4 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.0 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.3.2 [09ab397b] + StructArrays v0.7.0 [856f2bd8] + StructTypes v1.11.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.84 [013be700] + UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] + Zygote v0.6.75 [700de1a5] + ZygoteRules v0.2.7 [6e34b625] + Bzip2_jll v1.0.9+0 [5ae413db] + EarCut_jll v2.2.4+0 [dad2f222] + LLVMExtra_jll v0.0.35+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 v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [dc6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.12.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.2.0+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.8.0+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+1 [14a3606d] + MozillaCACerts_jll v2024.11.26 [4536629a] + OpenBLAS_jll v0.3.28+3 [05823500] + OpenLibm_jll v0.8.1+3 [bea87d4a] + SuiteSparse_jll v7.8.0+1 [83775a58] + Zlib_jll v1.3.1+1 [8e850b90] + libblastrampoline_jll v5.11.2+0 [8e850ede] + nghttp2_jll v1.63.0+1 [3f19e933] + p7zip_jll v17.5.0+1 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 5.72s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 280.87s ################################################################################ # Testing # Testing Gogeta Status `/tmp/jl_ejsZ5j/Project.toml` [fbb218c0] BSON v0.3.9 ⌅ [f6006082] EvoTrees v0.16.9 ⌅ [587475ba] Flux v0.14.25 [60bf3e95] GLPK v1.2.1 [8b0c908c] Gogeta v0.3.0 [87dc4568] HiGHS v1.15.0 [682c06a0] JSON v0.21.4 [4076af6c] JuMP v1.24.0 [8a4e6c94] QuasiMonteCarlo v0.3.3 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_ejsZ5j/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [a9b6321e] Atomix v1.1.1 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [6e4b80f9] BenchmarkTools v1.6.0 [fa961155] CEnum v0.5.0 [324d7699] CategoricalArrays v0.10.8 [082447d4] ChainRules v1.72.3 [d360d2e6] ChainRulesCore v1.25.1 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.3 ⌅ [f6006082] EvoTrees v0.16.9 [411431e0] Extents v0.1.5 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.13.0 ⌅ [587475ba] Flux v0.14.25 [f6369f11] ForwardDiff v0.10.38 ⌅ [d9f16b24] Functors v0.4.12 [60bf3e95] GLPK v1.2.1 [0c68f7d7] GPUArrays v11.2.2 [46192b85] GPUArraysCore v0.2.0 [68eda718] GeoFormatTypes v0.4.4 [cf35fbd7] GeoInterface v1.4.1 [5c1252a2] GeometryBasics v0.5.5 [8b0c908c] Gogeta v0.3.0 [076d061b] HashArrayMappedTries v0.2.0 [87dc4568] HiGHS v1.15.0 [34004b35] HypergeometricFunctions v0.3.28 [7869d1d1] IRTools v0.4.14 [22cec73e] InitialValues v0.3.1 [18e54dd8] IntegerMathUtils v0.1.2 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.1 [4076af6c] JuMP v1.24.0 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.34 [929cbde3] LLVM v9.2.0 [73f95e8e] LatticeRules v0.0.1 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 ⌃ [7e8f7934] MLDataDevices v1.5.3 [e80e1ace] MLJModelInterface v1.11.0 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.15 [b8f27783] MathOptInterface v1.38.0 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [d8a4904e] MutableArithmetics v1.6.4 [872c559c] NNlib v0.9.29 [77ba4419] NaNMath v1.1.2 [71a1bf82] NameResolution v0.1.5 [46757867] NetworkLayout v0.4.9 [0b1bfda6] OneHotArrays v0.2.6 ⌅ [3bd65402] Optimisers v0.3.4 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.32 [69de0a69] Parsers v2.8.1 [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [27ebfcd6] Primes v0.5.7 [33c8b6b6] ProgressLogging v0.1.4 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [8a4e6c94] QuasiMonteCarlo v0.3.3 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.3.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.4 [ed01d8cd] Sobol v1.5.0 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.0 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [64bff920] StatisticalTraits v3.4.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.3.2 [09ab397b] StructArrays v0.7.0 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.84 [013be700] UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] Zygote v0.6.75 [700de1a5] ZygoteRules v0.2.7 [6e34b625] Bzip2_jll v1.0.9+0 [5ae413db] EarCut_jll v2.2.4+0 [e8aa6df9] GLPK_jll v5.0.1+1 [8fd58aa0] HiGHS_jll v1.10.0+0 [dad2f222] LLVMExtra_jll v0.0.35+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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [dc6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.12.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.2.0+0 [781609d7] GMP_jll v6.3.0+1 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.8.0+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+1 [14a3606d] MozillaCACerts_jll v2024.11.26 [4536629a] OpenBLAS_jll v0.3.28+3 [05823500] OpenLibm_jll v0.8.1+3 [bea87d4a] SuiteSparse_jll v7.8.0+1 [83775a58] Zlib_jll v1.3.1+1 [8e850b90] libblastrampoline_jll v5.11.2+0 [8e850ede] nghttp2_jll v1.63.0+1 [3f19e933] p7zip_jll v17.5.0+1 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: Creating a medium-sized neural network with random weights [ Info: Compressing the neural network with simultaneous bound tightening. Starting compression... LAYER 1 Neuron: 1, bounds: [0.16892524808645248, 0.7776865735650063] Neuron: 2, bounds: [-0.2680980712175369, 0.04221390187740326] Neuron: 3, bounds: [-0.4801315367221832, 0.10741600394248962] Neuron: 4, bounds: [-0.17742440849542618, 0.42832256108522415] Neuron: 5, bounds: [-0.2498505935072899, 0.5106385871767998] Neuron: 6, bounds: [-1.3318716883659363, -0.0035308003425598145] Neuron: 7, bounds: [0.021586686372756958, 1.1083771884441376] Neuron: 8, bounds: [0.08210700750350952, 1.2899381518363953] Neuron: 9, bounds: [-0.2122078314423561, 0.6261369064450264] Neuron: 10, bounds: [-0.35886954702436924, 0.30129695124924183] Removed 2/10 neurons LAYER 2 Neuron: 1, bounds: [-0.18977397052134098, 0.15988174967806548] Neuron: 2, bounds: [-0.07516373602944505, 0.061224268041659945] Neuron: 3, bounds: [0.12057078480922838, 0.6112063779301777] Neuron: 4, bounds: [-0.21005187978519868, 0.14233034987350207] Neuron: 5, bounds: [0.06701847384130219, 0.2317874784912522] Neuron: 6, bounds: [-0.8100089139838441, -0.11189332478934193] Neuron: 7, bounds: [-0.12932391441795393, 0.0724195172742364] Neuron: 8, bounds: [-0.3087563913231421, 0.2859037748525402] Neuron: 9, bounds: [-0.30807707074366386, -0.07965179463206097] Neuron: 10, bounds: [-0.08756210016355957, 0.685152563268196] Neuron: 11, bounds: [-0.18227464908186797, 0.8705936409856269] Neuron: 12, bounds: [-0.587704616282881, 0.16651037589000905] Neuron: 13, bounds: [0.09887562333727007, 0.5744480990305691] Neuron: 14, bounds: [-0.5905533173187246, -0.0893703852806573] Neuron: 15, bounds: [-0.11516283979724878, 0.9711138094180616] Neuron: 16, bounds: [-0.13683952483135534, 0.1101137414760848] Neuron: 17, bounds: [-0.21591403155969105, 0.04373726627210128] Neuron: 18, bounds: [0.007571296621525794, 0.1317531291829114] Neuron: 19, bounds: [-0.09944475527559507, 0.6970836823943919] Neuron: 20, bounds: [-0.6434410554371559, -0.1632042795058802] Removed 4/20 neurons LAYER 3 Neuron: 1, bounds: [-0.06818639128097592, 0.07857333587373982] Neuron: 2, bounds: [-0.008887124341246106, 1.0608261381401354] Neuron: 3, bounds: [0.02447761176061356, 0.2337623054417478] Neuron: 4, bounds: [-0.7455988340783268, -0.05114511295505627] Neuron: 5, bounds: [-0.5686799232455355, 0.0009245990310314837] Removed 1/5 neurons LAYER 4 Neuron: 1, bounds: [-0.5907375089616982, 0.0030529889716415966] Creating JuMP model... LAYER 1 LAYER 2 LAYER 3 LAYER 4 [ Info: Testing that the compressed model and the corresponding JuMP model are equal to the original neural network. [ Info: Creating a JuMP model from the neural network with bound tightening but without compression. Creating JuMP model... LAYER 1 Neuron: 1, bounds: [0.16892524808645248, 0.7776865735650063] Neuron: 2, bounds: [-0.2680980712175369, 0.04221390187740326] Neuron: 3, bounds: [-0.4801315367221832, 0.10741600394248962] Neuron: 4, bounds: [-0.17742440849542618, 0.42832256108522415] Neuron: 5, bounds: [-0.2498505935072899, 0.5106385871767998] Neuron: 6, bounds: [-1.3318716883659363, -0.0035308003425598145] Neuron: 7, bounds: [0.021586686372756958, 1.1083771884441376] Neuron: 8, bounds: [0.08210700750350952, 1.2899381518363953] Neuron: 9, bounds: [-0.2122078314423561, 0.6261369064450264] Neuron: 10, bounds: [-0.35886954702436924, 0.30129695124924183] LAYER 2 Neuron: 1, bounds: [-0.1897739690354781, 0.15988173859591348] Neuron: 2, bounds: [-0.07516373071024973, 0.061224283009830426] Neuron: 3, bounds: [0.1205707849799882, 0.611206382891935] Neuron: 4, bounds: [-0.21005188971130168, 0.14233034976493286] Neuron: 5, bounds: [0.06701847552338584, 0.23178748390715193] Neuron: 6, bounds: [-0.8100088928000462, -0.1118933228755399] Neuron: 7, bounds: [-0.12932390918401324, 0.07241952443512806] Neuron: 8, bounds: [-0.3087563833733549, 0.28590378110352926] Neuron: 9, bounds: [-0.3080770761658791, -0.07965179632468222] Neuron: 10, bounds: [-0.08756210125974394, 0.6851525621433712] Neuron: 11, bounds: [-0.18227464898179127, 0.8705936338199975] Neuron: 12, bounds: [-0.5877046120025742, 0.1665103759685696] Neuron: 13, bounds: [0.09887562130775507, 0.5744481054210349] Neuron: 14, bounds: [-0.5905533048571322, -0.08937038417475837] Neuron: 15, bounds: [-0.11516283645929289, 0.9711138562048935] Neuron: 16, bounds: [-0.13683952465516547, 0.11011374893092418] Neuron: 17, bounds: [-0.21591401693840287, 0.04373726858185967] Neuron: 18, bounds: [0.007571297623784959, 0.13175314233448668] Neuron: 19, bounds: [-0.09944475436893434, 0.6970836575321967] Neuron: 20, bounds: [-0.6434410709851567, -0.16320428208001625] LAYER 3 Neuron: 1, bounds: [-0.06818638754519268, 0.07857334414982066] Neuron: 2, bounds: [-0.008887125853477305, 1.0608261579949543] Neuron: 3, bounds: [0.024477614046310874, 0.23376233009077552] Neuron: 4, bounds: [-0.7455988471873026, -0.051145114121006474] Neuron: 5, bounds: [-0.5686799207820367, 0.0009245969827416621] LAYER 4 Neuron: 1, bounds: [-0.5907375101843486, 0.003052990834456938] [ Info: Creating bound tightened JuMP model with output bounds present. Creating JuMP model... LAYER 1 LAYER 2 LAYER 3 LAYER 4 Starting bound tightening based on output bounds as well as input bounds. LAYER 1 Neuron: 1, bounds: [0.26272885608628177, 0.7132497353060073] Neuron: 2, bounds: [-0.20443576970687938, -0.06971800863081823] Neuron: 3, bounds: [-0.37508686407052433, -0.08828860172848188] Neuron: 4, bounds: [-0.17742440849542615, 0.41713267663784687] Neuron: 5, bounds: [-0.10477676485006165, 0.4371391297697242] Neuron: 6, bounds: [-1.0176020080013892, -0.44962491988107567] Neuron: 7, bounds: [0.37425443297775307, 0.8601501672539976] Neuron: 8, bounds: [0.4358008983061681, 1.0417111306462552] Neuron: 9, bounds: [-0.21220783144235605, 0.611427136563778] Neuron: 10, bounds: [-0.3426435141788875, 0.2578008834804297] LAYER 2 Neuron: 1, bounds: [-0.17538650191773578, 0.12087958818383288] Neuron: 2, bounds: [-0.07516373071024973, 0.061224283009830426] Neuron: 3, bounds: [0.206403258070896, 0.5229871497084381] Neuron: 4, bounds: [-0.14704700531028655, 0.10178231762712525] Neuron: 5, bounds: [0.07396691021452165, 0.22801087009232518] Neuron: 6, bounds: [-0.6192500387189972, -0.2732911317962974] Neuron: 7, bounds: [-0.12932390918401326, 0.07182448629101226] Neuron: 8, bounds: [-0.25189054381283005, 0.27962668450286543] Neuron: 9, bounds: [-0.3080770761658791, -0.08008074118136915] Neuron: 10, bounds: [0.15959547967102364, 0.47004726476439984] Neuron: 11, bounds: [0.10146343291915673, 0.62610289293492] Neuron: 12, bounds: [-0.4493561967485193, -0.004167012907602657] Neuron: 13, bounds: [0.19300134817221618, 0.5068641034418414] Neuron: 14, bounds: [-0.5905533048571323, -0.13311170042112044] Neuron: 15, bounds: [0.3280722322944578, 0.7631408735377645] Neuron: 16, bounds: [-0.03512477282871221, 0.11011374893092418] Neuron: 17, bounds: [-0.1539669406575698, -0.016022861533658395] Neuron: 18, bounds: [0.03380086845709635, 0.13175314233448668] Neuron: 19, bounds: [0.1874162413903308, 0.5052314008691488] Neuron: 20, bounds: [-0.5580607433524787, -0.21710651978735496] LAYER 3 Neuron: 1, bounds: [-0.05037978304087069, 0.07857334414982058] Neuron: 2, bounds: [0.3588646953177409, 0.8117465099710172] Neuron: 3, bounds: [0.039882842726643865, 0.23376233009077566] Neuron: 4, bounds: [-0.5618497737898983, -0.2519669280221376] Neuron: 5, bounds: [-0.4124086166744291, -0.11828172419345159] [ Info: Testing that the output tightened model is the same in the areas it's defined in. ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 ERROR: MathOptInterface.ResultIndexBoundsError{MathOptInterface.VariablePrimal}(MathOptInterface.VariablePrimal(1), 0) ┌ Warning: Input or output outside of bounds or incorrectly constructed model. └ @ Gogeta ~/.julia/packages/Gogeta/lEEud/src/neural_networks/NN_to_MIP.jl:221 [ Info: Testing that the created JuMP model is equal to the original neural network. [ Info: Compressing with the precomputed bounds. Removed 2/10 neurons Removed 4/20 neurons Removed 1/5 neurons [ Info: Testing that this compression result is equal to the original. [ Info: Testing that the removed neurons are the same as with simultaneous bound tightening compression. [ Info: Creating a JuMP model of the network with loose bound tightening. Creating JuMP model... LAYER 1 LAYER 2 LAYER 3 LAYER 4 [ Info: Testing that the loose JuMP model is equal to the original neural network. [ Info: Compressing with the precomputed loose bounds. Removed 2/10 neurons Removed 0/20 neurons Removed 0/5 neurons [ Info: Testing that this loose compression result is equal to the original neural network. Test Summary: | Pass Total Time Neural networks | 8 8 2m07.9s [ Info: Creating a JuMP model from the neural network with bound tightening. Creating JuMP model... LAYER 1 From worker 2: Neuron: 1, bounds: [0.16892524808645248, 0.7776865735650063] From worker 3: Neuron: 2, bounds: [-0.2680980712175369, 0.04221390187740326] From worker 4: Neuron: 3, bounds: [-0.4801315367221832, 0.10741600394248962] From worker 5: Neuron: 4, bounds: [-0.17742440849542618, 0.42832256108522415] From worker 3: Neuron: 6, bounds: [-1.3318716883659363, -0.0035308003425598145] From worker 5: Neuron: 7, bounds: [0.021586686372756958, 1.1083771884441376] From worker 3: Neuron: 9, bounds: [-0.2122078314423561, 0.6261369064450264] LAYER 2 From worker 2: Neuron: 5, bounds: [-0.2498505935072899, 0.5106385871767998] From worker 4: Neuron: 8, bounds: [0.08210700750350952, 1.2899381518363953] From worker 5: Neuron: 10, bounds: [-0.35886954702436924, 0.30129695124924183] From worker 2: Neuron: 1, bounds: [-0.1897739690354781, 0.1598817385959135] From worker 2: Neuron: 5, bounds: [0.06701847552338584, 0.23178748390715243] From worker 2: Neuron: 6, bounds: [-0.8100088928000463, -0.11189332287553991] From worker 2: Neuron: 7, bounds: [-0.12932390918401326, 0.07241952443512811] From worker 2: Neuron: 8, bounds: [-0.30875638337335487, 0.2859037811035292] From worker 5: Neuron: 4, bounds: [-0.21005188971130168, 0.1423303497649328] From worker 2: Neuron: 9, bounds: [-0.30807707616587915, -0.07965179632468222] From worker 3: Neuron: 2, bounds: [-0.07516373071024973, 0.06122428300983036] From worker 5: Neuron: 10, bounds: [-0.08756210125974398, 0.6851525621433712] From worker 2: Neuron: 11, bounds: [-0.1822746489817913, 0.8705936338199975] From worker 3: Neuron: 12, bounds: [-0.5877046120025743, 0.16651037596856966] From worker 5: Neuron: 13, bounds: [0.09887562130775505, 0.5744481054210349] From worker 2: Neuron: 14, bounds: [-0.5905533048571323, -0.08937038417475837] From worker 3: Neuron: 15, bounds: [-0.11516283645929287, 0.9711138562048935] From worker 5: Neuron: 16, bounds: [-0.13683952465516547, 0.11011374893092418] From worker 5: Neuron: 19, bounds: [-0.09944475436893432, 0.6970836575321967] From worker 2: Neuron: 17, bounds: [-0.21591401693840287, 0.04373726858185968] From worker 5: Neuron: 20, bounds: [-0.6434410709851567, -0.16320428208001628] From worker 3: Neuron: 18, bounds: [0.007571297623784943, 0.1317531423344867] From worker 4: Neuron: 3, bounds: [0.12057078497998822, 0.611206382891935] LAYER 3 From worker 3: Neuron: 2, bounds: [-0.008887125853477378, 1.0608261579949543] From worker 5: Neuron: 4, bounds: [-0.7455988471873025, -0.05114511412100644] From worker 3: Neuron: 5, bounds: [-0.5686799207820367, 0.0009245969827416664] From worker 2: Neuron: 1, bounds: [-0.06818638754519271, 0.07857334414982073] From worker 4: Neuron: 3, bounds: [0.024477614046310853, 0.2337623300907755] LAYER 4 From worker 2: Neuron: 1, bounds: [-0.5907375101843486, 0.003052990834456976] [ Info: Testing that correct model is produced [ Info: Testing that parallel computed bounds are the same. Test Summary: | Pass Total Time Parallel tests | 3 3 8m40.7s [ Info: Formulating the MIP with heuristic bound tightening. [ Info: Solving by sampling. [ Info: Testing that sampling solution and extremum agree. [ Info: Testing that optimum is correct (precomputed). Sampling tests: Test Failed at /home/pkgeval/.julia/packages/Gogeta/lEEud/test/neural_networks/NN_sampling_test.jl:41 Expression: extremum ≈ -0.8235817480215797 Evaluated: -0.8334065301025744 ≈ -0.8235817480215797 Stacktrace: [1] top-level scope @ ~/.julia/packages/Gogeta/lEEud/test/neural_networks/NN_sampling_test.jl:515 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Gogeta/lEEud/test/runtests.jl:13 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Gogeta/lEEud/test/runtests.jl:13 [inlined] Test Summary: | Pass Fail Total Time Sampling tests | 2 1 3 1m03.2s ERROR: LoadError: Some tests did not pass: 2 passed, 1 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/Gogeta/lEEud/test/runtests.jl:12 Testing failed after 752.51s ERROR: LoadError: Package Gogeta errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2359 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2214 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:159 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:146 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:300 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:329 [12] _start() @ Base ./client.jl:558 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1066.95s: package has test failures