Package evaluation of Gogeta on Julia 1.12.0-DEV.2044 (c78016e4dc*) started at 2025-02-26T00:08:24.447 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.48s ################################################################################ # 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 v4.2.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.4.0 [a9b6321e] + Atomix v1.1.0 [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 v0.18.20 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [31c24e10] + Distributions v0.25.117 [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 v0.3.27 [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 v0.4.7 [1914dd2f] + MacroTools v0.5.15 [b8f27783] + MathOptInterface v1.37.0 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.4 [872c559c] + NNlib v0.9.27 [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 v1.3.0 [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 v1.9.12 [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 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.12.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.11.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 5.87s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 383.69s ################################################################################ # Testing # Testing Gogeta Status `/tmp/jl_vJccik/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 v1.13.0 [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 v1.12.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_vJccik/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.2.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.4.0 [a9b6321e] Atomix v1.1.0 [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 v0.18.20 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.117 [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 v1.13.0 [34004b35] HypergeometricFunctions v0.3.27 [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 v0.4.7 [1914dd2f] MacroTools v0.5.15 [b8f27783] MathOptInterface v1.37.0 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [d8a4904e] MutableArithmetics v1.6.4 [872c559c] NNlib v0.9.27 [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 v0.5.6 [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 v1.3.0 [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 v1.9.12 [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 v1.9.0+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 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.12.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [781609d7] GMP_jll v6.3.0+2 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2024.12.31 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.0.16+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Precompiling packages... 53557.3 ms ✓ Gogeta 1 dependency successfully precompiled in 57 seconds. 211 already precompiled. Precompiling packages... 5278.5 ms ✓ GLPK_jll 15111.5 ms ✓ GLPK 2 dependencies successfully precompiled in 21 seconds. 67 already precompiled. [ 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: [0.21568965166807175, 0.9142742231488228] Neuron: 8, bounds: [0.08210700750350952, 1.2899381518363953] Neuron: 9, bounds: [-0.14929509907960892, 0.5632241740822792] Neuron: 10, bounds: [-0.35886954702436924, 0.30129695124924183] Removed 2/10 neurons LAYER 2 Neuron: 1, bounds: [-0.20412476733600254, 0.18278793305058372] Neuron: 2, bounds: [-0.08638541524530614, 0.08306177206102207] Neuron: 3, bounds: [0.12178457628635278, 0.6100031314093548] Neuron: 4, bounds: [-0.1230882984050663, 0.053507347957785834] Neuron: 5, bounds: [0.04708234588054839, 0.30614720892532327] Neuron: 6, bounds: [-0.7663025442901721, -0.14746969253507697] Neuron: 7, bounds: [-0.1433126148123604, 0.0993232231595852] Neuron: 8, bounds: [-0.2145006913662086, 0.1895001648703211] Neuron: 9, bounds: [-0.3225286929176348, -0.05796760053953243] Neuron: 10, bounds: [-0.06048701807918212, 0.6596248588059286] Neuron: 11, bounds: [-0.07735190107027737, 0.7676083168611012] Neuron: 12, bounds: [-0.49864286327395657, 0.07517452732545368] Neuron: 13, bounds: [0.023200328418004706, 0.504930650890854] Neuron: 14, bounds: [-0.6014185975347043, -0.10687178808827827] Neuron: 15, bounds: [0.03875423278201007, 0.9188048333106181] Neuron: 16, bounds: [-0.11895818925179036, 0.14722331448047013] Neuron: 17, bounds: [-0.24355773312684792, 0.1752140293555182] Neuron: 18, bounds: [-0.05638461603822287, 0.1637381782030779] Neuron: 19, bounds: [0.08549792296907044, 0.6157359391918474] Neuron: 20, bounds: [-0.5873056364888123, -0.18094152936839647] Removed 4/20 neurons LAYER 3 Neuron: 1, bounds: [-0.04280363228818587, 0.11878446016019602] Neuron: 2, bounds: [0.022560789164701934, 0.9120930650390385] Neuron: 3, bounds: [0.0078107730257470295, 0.27001695795188185] Neuron: 4, bounds: [-0.6996095021705158, -0.12343161130539816] Neuron: 5, bounds: [-0.5187845401165914, -0.08570689550994348] Removed 2/5 neurons LAYER 4 Neuron: 1, bounds: [-0.7020593945252633, -0.10055635706489659] 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: [0.21568965166807175, 0.9142742231488228] Neuron: 8, bounds: [0.08210700750350952, 1.2899381518363953] Neuron: 9, bounds: [-0.14929509907960892, 0.5632241740822792] Neuron: 10, bounds: [-0.35886954702436924, 0.30129695124924183] LAYER 2 Neuron: 1, bounds: [-0.20412472928805475, 0.18278808645037875] Neuron: 2, bounds: [-0.0863855109804773, 0.08306156548248451] Neuron: 3, bounds: [0.1217845478507323, 0.6100030003890271] Neuron: 4, bounds: [-0.12308829506149438, 0.053507348633525076] Neuron: 5, bounds: [0.04708236796792755, 0.3061472989372608] Neuron: 6, bounds: [-0.7663025277187504, -0.14746968806007418] Neuron: 7, bounds: [-0.14331261564059156, 0.09932322123670151] Neuron: 8, bounds: [-0.21450045776854917, 0.1895003583045474] Neuron: 9, bounds: [-0.3225287760443095, -0.05796763815771] Neuron: 10, bounds: [-0.06048696979595501, 0.6596250728609041] Neuron: 11, bounds: [-0.07735185957156968, 0.7676085016002656] Neuron: 12, bounds: [-0.49864287602156165, 0.07517452435976688] Neuron: 13, bounds: [0.023200326513075797, 0.5049306433713441] Neuron: 14, bounds: [-0.6014187211595349, -0.10687181994851827] Neuron: 15, bounds: [0.038754295953257634, 0.9188051322533609] Neuron: 16, bounds: [-0.1189581490839963, 0.14722340449274288] Neuron: 17, bounds: [-0.24355784574207975, 0.17521400412495655] Neuron: 18, bounds: [-0.056384612508312504, 0.16373819441555482] Neuron: 19, bounds: [0.08549791361122552, 0.6157358951177498] Neuron: 20, bounds: [-0.5873057256184733, -0.1809415543269072] LAYER 3 Neuron: 1, bounds: [-0.04280364803696057, 0.11878455756424713] Neuron: 2, bounds: [0.022560826277516894, 0.9120931601932567] Neuron: 3, bounds: [0.0078107449063999496, 0.27001697613595216] Neuron: 4, bounds: [-0.6996096418314006, -0.12343159688273675] Neuron: 5, bounds: [-0.5187846847921361, -0.08570691407314165] LAYER 4 Neuron: 1, bounds: [-0.7020595465633641, -0.10055640336815123] [ 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: [0.21480483178352944, 0.5247513744321706] Neuron: 2, bounds: [-0.2077416969929622, 0.01777799022605238] Neuron: 3, bounds: [-0.3805417414679213, 0.06709602996336328] Neuron: 4, bounds: [-0.174069522075442, 0.3778596326074081] Neuron: 5, bounds: [-0.2216388228831811, 0.4409558919034912] Neuron: 6, bounds: [-0.9750514092628358, -0.14799323579521156] Neuron: 7, bounds: [0.2609416871646269, 0.6123472546147706] Neuron: 8, bounds: [0.23053340849139253, 0.9233269309967497] Neuron: 9, bounds: [-0.14376024352874534, 0.47997097715300996] Neuron: 10, bounds: [-0.3434861177834677, 0.2950688084448581] LAYER 2 Neuron: 1, bounds: [-0.19056269805753034, 0.16509149526530836] Neuron: 2, bounds: [-0.0863855109804773, 0.050081673543741025] Neuron: 3, bounds: [0.15445417788285407, 0.4421394477931019] Neuron: 4, bounds: [-0.0869449555443118, 0.044487860839498586] Neuron: 5, bounds: [0.04804882866406922, 0.2514234236127688] Neuron: 6, bounds: [-0.5475927353210297, -0.1565440981003631] Neuron: 7, bounds: [-0.10576769895566618, 0.09905323236007074] Neuron: 8, bounds: [-0.18420729734181776, 0.14895556194978601] Neuron: 9, bounds: [-0.23624008239619257, -0.062096450860319924] Neuron: 10, bounds: [-0.023226155947844287, 0.4727120626155764] Neuron: 11, bounds: [-0.01872654427245863, 0.55712566773659] Neuron: 12, bounds: [-0.3924910970228941, 0.04192783440984332] Neuron: 13, bounds: [0.1001469259480061, 0.320046869921038] Neuron: 14, bounds: [-0.4161844918584351, -0.12321994466326419] Neuron: 15, bounds: [0.1521162090657074, 0.6356195932304258] Neuron: 16, bounds: [-0.11788287084462623, 0.08866693774347784] Neuron: 17, bounds: [-0.16398113825884533, 0.13669675409796125] Neuron: 18, bounds: [-0.03238101837437567, 0.13310817243843004] Neuron: 19, bounds: [0.12851321879032002, 0.44704411781367004] Neuron: 20, bounds: [-0.41883438228796555, -0.1809415543269072] LAYER 3 Neuron: 1, bounds: [-0.025304857646799725, 0.08837540117533178] Neuron: 2, bounds: [0.1123550657401983, 0.5928294642123964] Neuron: 3, bounds: [0.00988789406073514, 0.21346904996318955] Neuron: 4, bounds: [-0.485494512881771, -0.1341464683064494] Neuron: 5, bounds: [-0.38637593372682344, -0.08570691407314163] [ 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 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 2/5 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 2/20 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 2m04.7s Precompiling packages... 49613.9 ms ✓ HiGHS 1 dependency successfully precompiled in 52 seconds. 58 already precompiled. [ 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 5: Neuron: 4, bounds: [-0.17742440849542618, 0.42832256108522415] From worker 4: Neuron: 3, bounds: [-0.4801315367221832, 0.10741600394248962] From worker 2: Neuron: 5, bounds: [-0.2498505935072899, 0.5106385871767998] From worker 5: Neuron: 7, bounds: [0.21568965166807175, 0.9142742231488228] From worker 3: Neuron: 6, bounds: [-1.3318716883659363, -0.0035308003425598145] From worker 2: Neuron: 10, bounds: [-0.35886954702436924, 0.30129695124924183] From worker 5: Neuron: 9, bounds: [-0.14929509907960892, 0.5632241740822792] From worker 4: Neuron: 8, bounds: [0.08210700750350952, 1.2899381518363953] LAYER 2 From worker 2: Neuron: 1, bounds: [-0.20412472928805475, 0.18278808645037875] From worker 5: Neuron: 4, bounds: [-0.12308829506149438, 0.053507348633525076] From worker 4: Neuron: 3, bounds: [0.12178454785073231, 0.610003000389027] From worker 5: Neuron: 6, bounds: [-0.7663025277187504, -0.14746968806007416] From worker 3: Neuron: 2, bounds: [-0.08638551098047731, 0.08306156548248449] From worker 2: Neuron: 5, bounds: [0.04708236796792757, 0.3061472989372608] From worker 4: Neuron: 7, bounds: [-0.14331261564059156, 0.09932322123670155] From worker 5: Neuron: 8, bounds: [-0.21450045776854917, 0.1895003583045474] From worker 2: Neuron: 10, bounds: [-0.06048696979595501, 0.6596250728609041] From worker 3: Neuron: 9, bounds: [-0.3225287760443095, -0.05796763815771] From worker 2: Neuron: 13, bounds: [0.023200326513075797, 0.5049306433713441] From worker 4: Neuron: 11, bounds: [-0.07735185957156968, 0.7676085016002656] From worker 3: Neuron: 14, bounds: [-0.601418721159535, -0.10687181994851827] From worker 5: Neuron: 12, bounds: [-0.49864287602156165, 0.07517452435976689] From worker 2: Neuron: 15, bounds: [0.038754295953257634, 0.9188051322533609] From worker 4: Neuron: 16, bounds: [-0.11895814908399632, 0.14722340449274288] From worker 5: Neuron: 18, bounds: [-0.056384612508312525, 0.16373819441555482] From worker 2: Neuron: 19, bounds: [0.08549791361122551, 0.6157358951177498] From worker 3: Neuron: 17, bounds: [-0.24355784574207973, 0.17521400412495655] From worker 4: Neuron: 20, bounds: [-0.5873057256184733, -0.18094155432690717] LAYER 3 From worker 3: Neuron: 2, bounds: [0.022560826277516936, 0.9120931601932567] From worker 3: Neuron: 5, bounds: [-0.5187846847921362, -0.08570691407314165] From worker 5: Neuron: 4, bounds: [-0.6996096418314005, -0.12343159688273674] From worker 4: Neuron: 3, bounds: [0.007810744906399974, 0.2700169761359523] From worker 2: Neuron: 1, bounds: [-0.04280364803696055, 0.11878455756424712] LAYER 4 From worker 2: Neuron: 1, bounds: [-0.7020595465633644, -0.10055640336815097] [ 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 8m52.6s Precompiling packages... 6326.0 ms ✓ QuasiMonteCarlo 1 dependency successfully precompiled in 7 seconds. 52 already precompiled. Precompiling packages... 5135.7 ms ✓ QuasiMonteCarlo → QuasiMonteCarloDistributionsExt 1 dependency successfully precompiled in 6 seconds. 73 already precompiled. [ 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). Test Summary: | Pass Total Time Sampling tests | 3 3 59.4s [ Info: Creating a small neural network with random weights [ Info: Creating an optimization problem [ Info: setting up a solver for bound tightening WARNING: Method definition set_solver!(Any) in module Main at /home/pkgeval/.julia/packages/Gogeta/lEEud/test/neural_networks/NN_parallel_test.jl:7 overwritten at /home/pkgeval/.julia/packages/Gogeta/lEEud/test/neural_networks/NN_in_larger_problem.jl:39. [ Info: include neural network as a part of the larger optimization problem. Use bound tightening and compress the network 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: [0.21568965166807175, 0.9142742231488228] Neuron: 8, bounds: [0.08210700750350952, 1.2899381518363953] Neuron: 9, bounds: [-0.14929509907960892, 0.5632241740822792] Neuron: 10, bounds: [-0.35886954702436924, 0.30129695124924183] Removed 2/10 neurons LAYER: 2 Neuron: 1, bounds: [-0.1254729370864549, 0.037194228091876946] Neuron: 2, bounds: [-0.06294386056731599, 0.3177905025456308] Neuron: 3, bounds: [-0.14803695004594752, 0.11205502670336241] Neuron: 4, bounds: [0.00805128939101088, 0.2838729556254701] Neuron: 5, bounds: [-0.09820885035657873, 0.14830402060573866] Neuron: 6, bounds: [-0.5066610370990889, -0.14553313085036235] Neuron: 7, bounds: [-0.2618061512696599, -0.048868063692254354] Neuron: 8, bounds: [-0.07524771059000313, 0.2824710534125774] Neuron: 9, bounds: [0.21525979043695476, 0.6940758307606192] Neuron: 10, bounds: [-0.11301038429428906, 0.05249363954202435] Neuron: 11, bounds: [-0.03864744124342484, 0.3071467516435697] Neuron: 12, bounds: [-0.07449180823527267, 0.5714894734805525] Neuron: 13, bounds: [0.0846318709042761, 0.8429638562179956] Neuron: 14, bounds: [0.028072068994444935, 0.14650018762884642] Neuron: 15, bounds: [0.04110850646485378, 0.15172069263690902] Neuron: 16, bounds: [-0.4525823921362965, -0.09149534095929535] Neuron: 17, bounds: [-0.3983202275600204, -0.0754962876497443] Neuron: 18, bounds: [-0.29907208630333326, 0.08528298041603313] Neuron: 19, bounds: [0.10080841277515487, 0.490035122324781] Neuron: 20, bounds: [-0.017722238897126985, 0.07649063757152089] Neuron: 21, bounds: [-0.5096755177767796, -0.04891731569212432] Neuron: 22, bounds: [0.03862043736364308, 0.1809635401554183] Neuron: 23, bounds: [-0.10158853249626099, -0.00855008291397294] Neuron: 24, bounds: [-0.027687731650607506, 0.1102991059510566] Neuron: 25, bounds: [-0.7684469113612494, -0.15512467884511716] Neuron: 26, bounds: [-0.13283539942201564, 0.14769561434394063] Neuron: 27, bounds: [-0.1484535465463082, -0.020320563133688962] Neuron: 28, bounds: [-0.6368220679734689, -0.032668848134620565] Neuron: 29, bounds: [0.0008166600464882823, 0.15188191185518704] Neuron: 30, bounds: [0.08937960982755105, 0.35775563908644614] Neuron: 31, bounds: [-0.35116042939455816, 0.12843396151184078] Neuron: 32, bounds: [-0.3661934022152257, -0.05615687857265064] Neuron: 33, bounds: [-0.08931923177164167, 0.03294041062700748] Neuron: 34, bounds: [-0.124364589892899, 0.08817337744384024] Neuron: 35, bounds: [0.09138387084094492, 0.5086977198219317] Neuron: 36, bounds: [-0.26970358018686136, 0.034300204975540316] Neuron: 37, bounds: [-0.1311367084991633, 0.11418026037327] Neuron: 38, bounds: [-0.2375843499068745, 0.1766447237670381] Neuron: 39, bounds: [-0.32262397483725713, -0.020712288014315572] Neuron: 40, bounds: [-0.07756488337582113, 0.11597379883009613] Neuron: 41, bounds: [-0.1560847694070553, -0.018793210528196075] Neuron: 42, bounds: [0.003344490259721833, 0.3158078952703633] Neuron: 43, bounds: [-0.5385059314284143, -0.039874280205949464] Neuron: 44, bounds: [0.04766881932271594, 0.4042176017439099] Neuron: 45, bounds: [0.08555935320778808, 0.32687289708917755] Neuron: 46, bounds: [-0.5012521014842175, 0.07769977630274051] Neuron: 47, bounds: [-0.03276437024295766, 0.0474553692117531] Neuron: 48, bounds: [0.10509949212930043, 0.38841471365963187] Neuron: 49, bounds: [-0.0010467747615908185, 0.570354650573397] Neuron: 50, bounds: [-0.04523539668711693, 0.3364996214065087] Removed 17/50 neurons LAYER: 3 Neuron: 1, bounds: [-0.16442517802203915, -0.018176628313377054] Neuron: 2, bounds: [-0.36460696708231577, -0.05519938761630498] Neuron: 3, bounds: [0.12202589840800263, 0.46168778427669954] Neuron: 4, bounds: [0.0074437834167884725, 0.1275217285451056] Neuron: 5, bounds: [-0.004614653538479627, 0.08908090481210656] Neuron: 6, bounds: [-0.3295272686050806, -0.06085704936302297] Neuron: 7, bounds: [-0.047365927855090535, 0.13267176492082566] Neuron: 8, bounds: [-0.43944652345205215, -0.017347703211459387] Neuron: 9, bounds: [-0.3863179246621073, -0.1164759640328695] Neuron: 10, bounds: [0.07303738078745121, 0.3591024110743219] Neuron: 11, bounds: [0.12475735612140938, 0.4377064218344086] Neuron: 12, bounds: [-0.0825282684173042, -0.00849515554315965] Neuron: 13, bounds: [-0.2168641166907009, -0.028307814096602782] Neuron: 14, bounds: [-0.08001725397386315, 0.05923593442632473] Neuron: 15, bounds: [-0.9781544911439323, -0.09744129966727678] Neuron: 16, bounds: [-0.00045089489968921405, 0.12459021611735681] Neuron: 17, bounds: [0.0672817449586709, 0.2740388989267721] Neuron: 18, bounds: [-0.006279538139219852, 0.09351754457961806] Neuron: 19, bounds: [-0.594260533638994, -0.14926847110990754] Neuron: 20, bounds: [-0.34666826496000486, -0.03681435575190596] Removed 10/20 neurons LAYER: 4 Neuron: 1, bounds: [0.06412798252503404, 0.2550071418391439] Neuron: 2, bounds: [0.01923047658473242, 0.10722022258231363] Neuron: 3, bounds: [0.06784810150074237, 0.36885852283032294] Neuron: 4, bounds: [0.008251117678235376, 0.1075957011434289] Neuron: 5, bounds: [0.036195563932988686, 0.1809899813118374] Fully stable layer Removed 5/5 neurons LAYER: 5 Neuron: 1, bounds: [-0.5035837040404607, -0.12074528276275652] [ Info: Testing that correct optimum is found [ Info: Testing that NN output matches Flux model Test Summary: | Pass Total Time Larger formulation tests | 4 4 45.6s [ Info: creating an optimization problem [ Info: include input convex neural network as a part of the larger optimization problem [ Info: testing for correct values Test Summary: | Pass Total Time ICNN tests | 3 3 17.0s [ Info: Creating a random convolutional neural network model [ Info: Formulating as a JuMP model Formulating CNN as JuMP model... Preprocessing completed Added conv layer Added maxpool layer Added flatten layer Added dense layer Added dense layer Formulation complete. [ Info: Testing image forward pass with some random inputs - passing test indicates that model is constructed correctly. [ Info: Repeating the test with a different model and input size [ Info: Creating a random convolutional neural network model [ Info: Formulating as a JuMP model Formulating CNN as JuMP model... Preprocessing completed Added conv layer Added maxpool layer Added meanpool layer Added flatten layer Added dense layer Added dense layer Formulation complete. [ Info: Testing image forward pass with some random inputs - passing test indicates that model is constructed correctly. Test Summary: | Pass Total Time CNN tests | 20 20 57.1s [ Info: Loading a trained tree ensemble model. [ Info: Creating JuMP models and optimizing them. [ Info: Getting solutions. [ Info: Comparing obtained optimal solutions to the true minimum of the tree ensemble. Test Summary: | Pass Total Time Tree ensemble tests | 4 4 35.7s [ Info: Creating a random neural network model [ Info: Test that activation function at each layer (except last one) is relu [ Info: Test that activation function at the last layer is identity [ Info: Test that non-providing boundaries with 'precomputed' bound-tightening results in error [ Info: Test that non-existent strategy result in error [ Info: Test that P<2 with 'equalrange' strategy result in error [ Info: Test: dimension of boundaries should be the same as input layer in NN [ Info: Generating sample dataset [ Info: Formulating the MIP with with strategy='equalsize' and bound_tightening='fast' [ Info: Testing that corresponding JuMP model has the same output as NN, P=3 [ Info: Testing that corresponding JuMP model has the same output as NN, P=4 [ Info: Testing that corresponding JuMP model has the same output as NN, P=5 [ Info: Formulating the MIP with with strategy='equalsize' and bound_tightening='standard', P=4 [ Info: Testing that corresponding JuMP model has the same output as NN, strategy = 'equalsize' [ Info: Testing that corresponding JuMP model has the same output as NN, strategy = 'equalrange' [ Info: Testing that corresponding JuMP model has the same output as NN, strategy = 'snake' [ Info: Testing that corresponding JuMP model has the same output as NN, strategy = 'random' Testing Gogeta tests passed Testing completed after 999.82s PkgEval succeeded after 1413.39s