Package evaluation of LearningToOptimize on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-25T01:41:46.707 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.89s ################################################################################ # Installation # Installing LearningToOptimize... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [e1d8bfa7] + LearningToOptimize v1.0.0 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 [69666777] + Arrow v2.8.0 [31f734f8] + ArrowTypes v2.3.0 [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 [c3b6d118] + BitIntegers v0.3.4 [fa961155] + CEnum v0.5.0 [336ed68f] + CSV v0.10.15 [324d7699] + CategoricalArrays v0.10.8 [082447d4] + ChainRules v1.72.3 [d360d2e6] + ChainRulesCore v1.25.1 [523fee87] + CodecBzip2 v0.8.5 [5ba52731] + CodecLz4 v0.4.5 [944b1d66] + CodecZlib v0.7.8 [6b39b394] + CodecZstd v0.8.6 [3da002f7] + ColorTypes v0.12.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [f0e56b4a] + ConcurrentUtilities v2.5.0 [187b0558] + ConstructionBase v1.5.8 [6add18c4] + ContextVariablesX v0.1.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [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 [4e289a0a] + EnumX v1.0.4 [e2ba6199] + ExprTools v0.1.10 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.13.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [587475ba] + Flux v0.14.25 [f6369f11] + ForwardDiff v0.10.38 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.2.2 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.14 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.3 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.5.12 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.1 [4076af6c] + JuMP v1.24.0 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.34 [929cbde3] + LLVM v9.2.0 [b964fa9f] + LaTeXStrings v1.4.0 [e1d8bfa7] + LearningToOptimize v1.0.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 [094fc8d1] + MLJFlux v0.6.5 [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 [dbeba491] + Metalhead v0.9.5 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [78c3b35d] + Mocking v0.8.1 [d8a4904e] + MutableArithmetics v1.6.4 [872c559c] + NNlib v0.9.29 [77ba4419] + NaNMath v1.1.2 [71a1bf82] + NameResolution v0.1.5 [0b1bfda6] + OneHotArrays v0.2.6 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.32 ⌅ [0ce4ce61] + ParametricOptInterface v0.8.2 [69de0a69] + Parsers v2.8.1 [570af359] + PartialFunctions v1.2.0 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.4 [92933f4c] + ProgressMeter v1.10.2 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [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 [6c6a2e73] + Scratch v1.2.1 [91c51154] + SentinelArrays v1.4.8 [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 [892a3eda] + StringManipulation v0.4.1 [354b36f9] + StringViews v1.3.4 [09ab397b] + StructArrays v0.7.0 [856f2bd8] + StructTypes v1.11.0 [dc5dba14] + TZJData v1.4.0+2025a [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [f269a46b] + TimeZones v1.21.3 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.84 [013be700] + UnsafeAtomics v0.3.0 [ea10d353] + WeakRefStrings v1.4.2 [76eceee3] + WorkerUtilities v1.6.1 ⌅ [e88e6eb3] + Zygote v0.6.75 [700de1a5] + ZygoteRules v0.2.7 [6e34b625] + Bzip2_jll v1.0.9+0 [dad2f222] + LLVMExtra_jll v0.0.35+0 [5ced341a] + Lz4_jll v1.10.1+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [3161d3a3] + Zstd_jll v1.5.7+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 v1.6.0 [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 5.61s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 821.74s ################################################################################ # Testing # Testing LearningToOptimize Status `/tmp/jl_UVrHHK/Project.toml` [69666777] Arrow v2.8.0 [336ed68f] CSV v0.10.15 [61c947e1] Clarabel v0.10.0 [a93c6f00] DataFrames v1.7.0 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.118 ⌅ [587475ba] Flux v0.14.25 [87dc4568] HiGHS v1.15.0 [b6b21f68] Ipopt v1.7.3 [4076af6c] JuMP v1.24.0 [e1d8bfa7] LearningToOptimize v1.0.0 [add582a8] MLJ v0.20.7 [094fc8d1] MLJFlux v0.6.5 [872c559c] NNlib v0.9.29 ⌅ [3bd65402] Optimisers v0.3.4 [07a8691f] PGLib v0.2.1 ⌅ [0ce4ce61] ParametricOptInterface v0.8.2 [c36e90e8] PowerModels v0.21.3 [10745b16] Statistics v1.11.1 ⌅ [e88e6eb3] Zygote v0.6.75 [37e2e46d] LinearAlgebra v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 Status `/tmp/jl_UVrHHK/Manifest.toml` [47edcb42] ADTypes v1.14.0 [14f7f29c] AMD v0.5.3 [da404889] ARFFFiles v1.5.0 [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 [4fba245c] ArrayInterface v7.18.0 [69666777] Arrow v2.8.0 [31f734f8] ArrowTypes v2.3.0 [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 [d1d4a3ce] BitFlags v0.1.9 [c3b6d118] BitIntegers v0.3.4 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [082447d4] ChainRules v1.72.3 [d360d2e6] ChainRulesCore v1.25.1 [61c947e1] Clarabel v0.10.0 [523fee87] CodecBzip2 v0.8.5 [5ba52731] CodecLz4 v0.4.5 [944b1d66] CodecZlib v0.7.8 [6b39b394] CodecZstd v0.8.6 [3da002f7] ColorTypes v0.12.0 [861a8166] Combinatorics v1.0.2 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [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 [a0c0ee7d] DifferentiationInterface v0.6.48 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.3 [792122b4] EarlyStopping v0.3.0 [4e289a0a] EnumX v1.0.4 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [33837fe5] FeatureSelection v0.2.2 [5789e2e9] FileIO v1.17.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [53c48c17] FixedPointNumbers v0.8.5 ⌅ [587475ba] Flux v0.14.25 [f6369f11] ForwardDiff v0.10.38 ⌅ [d9f16b24] Functors v0.4.12 [0c68f7d7] GPUArrays v11.2.2 [46192b85] GPUArraysCore 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SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.4 [66db9d55] SnoopPrecompile v1.0.3 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.0 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.2 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 ⌅ [a19d573c] StatisticalMeasures v0.1.7 [c062fc1d] StatisticalMeasuresBase v0.1.2 [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 [892a3eda] StringManipulation v0.4.1 [354b36f9] StringViews v1.3.4 [09ab397b] StructArrays v0.7.0 [856f2bd8] StructTypes v1.11.0 [dc5dba14] TZJData v1.4.0+2025a [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [f269a46b] TimeZones v1.21.3 [a759f4b9] TimerOutputs v0.5.28 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.84 [5c2747f8] URIs v1.5.1 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 ⌅ [e88e6eb3] Zygote v0.6.75 [700de1a5] ZygoteRules v0.2.7 [ae81ac8f] ASL_jll v0.1.3+0 [6e34b625] Bzip2_jll v1.0.9+0 [017b0a0e] HSL_jll v4.0.2+0 [8fd58aa0] HiGHS_jll v1.10.0+0 [e33a78d0] Hwloc_jll v2.12.0+0 ⌅ [1d5cc7b8] IntelOpenMP_jll v2024.2.1+0 [9cc047cb] Ipopt_jll v300.1400.1700+0 [dad2f222] LLVMExtra_jll v0.0.35+0 [5ced341a] Lz4_jll v1.10.1+0 [d00139f3] METIS_jll v5.1.3+0 ⌅ [856f044c] MKL_jll v2024.2.0+0 [d7ed1dd3] MUMPS_seq_jll v500.700.301+0 [656ef2d0] OpenBLAS32_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.0.16+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 ⌅ [319450e9] SPRAL_jll v2024.5.8+0 [3161d3a3] Zstd_jll v1.5.7+1 [1317d2d5] oneTBB_jll v2022.0.0+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 [3fa0cd96] REPL 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. Testing Running tests... ┌ Info: Ignoring an error that occurred during the precompilation workload │ exception = │ HTTP.ConnectError for url = `https://localhost:57813`: IOError: connect: connection refused (ECONNREFUSED) │ Stacktrace: │ [1] getconnection(::Type{Sockets.TCPSocket}, host::SubString{String}, port::SubString{String}; keepalive::Bool, readtimeout::Int64, kw::@Kwargs{require_ssl_verification::Bool, iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ @ HTTP.Connections ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:531 │ [2] getconnection │ @ ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:508 [inlined] │ [3] getconnection(::Type{OpenSSL.SSLStream}, host::SubString{String}, port::SubString{String}; kw::@Kwargs{require_ssl_verification::Bool, keepalive::Bool, readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ @ HTTP.Connections ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:585 │ [4] getconnection │ @ ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:578 [inlined] │ [5] #13 │ @ ~/.julia/packages/HTTP/4AUPl/src/Connections.jl:467 [inlined] │ [6] macro expansion │ @ ~/.julia/packages/ConcurrentUtilities/ofY4K/src/try_with_timeout.jl:92 [inlined] │ [7] (::ConcurrentUtilities.var"#try_with_timeout##2#try_with_timeout##3"{Any, Channel{Any}, HTTP.Connections.var"#13#14"{OpenSSL.SSLStream, Bool, Bool, @Kwargs{readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}, SubString{String}, SubString{String}}, Timer})() │ @ ConcurrentUtilities ~/.julia/packages/ConcurrentUtilities/ofY4K/src/ConcurrentUtilities.jl:10 │ Stacktrace: │ [1] (::HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}})(req::HTTP.Messages.Request; proxy::Nothing, socket_type::Type, socket_type_tls::Nothing, readtimeout::Int64, connect_timeout::Int64, logerrors::Bool, logtag::Nothing, closeimmediately::Bool, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ @ HTTP.ConnectionRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/ConnectionRequest.jl:88 │ [2] connections │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/ConnectionRequest.jl:60 [inlined] │ [3] (::Base.var"#46#47"{Base.var"#48#49"{ExponentialBackOff, HTTP.RetryRequest.var"#retrylayer##2#retrylayer##3"{Int64, typeof(HTTP.RetryRequest.FALSE), HTTP.Messages.Request, Base.RefValue{Int64}}, HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(args::HTTP.Messages.Request; kwargs::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ @ Base ./error.jl:322 │ [4] (::HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}})(req::HTTP.Messages.Request; retry::Bool, retries::Int64, retry_delays::ExponentialBackOff, retry_check::Function, retry_non_idempotent::Bool, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ @ HTTP.RetryRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/RetryRequest.jl:75 │ [5] manageretries │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/RetryRequest.jl:30 [inlined] │ [6] (::HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}})(req::HTTP.Messages.Request; cookies::Bool, cookiejar::HTTP.Cookies.CookieJar, kw::@Kwargs{iofunction::Nothing, decompress::Nothing, verbose::Int64}) │ @ HTTP.CookieRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/CookieRequest.jl:42 │ [7] managecookies │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/CookieRequest.jl:19 [inlined] │ [8] (::HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}})(req::HTTP.Messages.Request; iofunction::Nothing, decompress::Nothing, basicauth::Bool, detect_content_type::Bool, canonicalize_headers::Bool, kw::@Kwargs{verbose::Int64}) │ @ HTTP.HeadersRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/HeadersRequest.jl:71 │ [9] defaultheaders │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/HeadersRequest.jl:14 [inlined] │ [10] (::HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}})(req::HTTP.Messages.Request; redirect::Bool, redirect_limit::Int64, redirect_method::Nothing, forwardheaders::Bool, response_stream::Nothing, kw::@Kwargs{verbose::Int64}) │ @ HTTP.RedirectRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/RedirectRequest.jl:25 │ [11] redirects │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/RedirectRequest.jl:14 [inlined] │ [12] (::HTTP.MessageRequest.var"#makerequest#messagelayer##0"{HTTP.MessageRequest.var"#makerequest#1#messagelayer##1"{HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}}}})(method::String, url::URIs.URI, headers::Nothing, body::Vector{UInt8}; copyheaders::Bool, response_stream::Nothing, http_version::HTTP.Strings.HTTPVersion, verbose::Int64, kw::@Kwargs{}) │ @ HTTP.MessageRequest ~/.julia/packages/HTTP/4AUPl/src/clientlayers/MessageRequest.jl:35 │ [13] makerequest │ @ ~/.julia/packages/HTTP/4AUPl/src/clientlayers/MessageRequest.jl:24 [inlined] │ [14] request(stack::HTTP.MessageRequest.var"#makerequest#messagelayer##0"{HTTP.MessageRequest.var"#makerequest#1#messagelayer##1"{HTTP.RedirectRequest.var"#redirects#redirectlayer##0"{HTTP.RedirectRequest.var"#redirects#1#redirectlayer##1"{HTTP.HeadersRequest.var"#defaultheaders#headerslayer##0"{HTTP.HeadersRequest.var"#defaultheaders#1#headerslayer##1"{HTTP.CookieRequest.var"#managecookies#cookielayer##0"{HTTP.CookieRequest.var"#managecookies#1#cookielayer##1"{HTTP.RetryRequest.var"#manageretries#retrylayer##0"{HTTP.RetryRequest.var"#manageretries#1#retrylayer##1"{HTTP.ConnectionRequest.var"#connections#connectionlayer##0"{HTTP.ConnectionRequest.var"#connections#1#connectionlayer##1"{HTTP.TimeoutRequest.var"#timeouts#timeoutlayer##0"{HTTP.TimeoutRequest.var"#timeouts#1#timeoutlayer##1"{HTTP.ExceptionRequest.var"#exceptions#exceptionlayer##0"{HTTP.ExceptionRequest.var"#exceptions#1#exceptionlayer##1"{typeof(HTTP.StreamRequest.streamlayer)}}}}}}}}}}}}}}}}, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing; headers::Nothing, body::Vector{UInt8}, query::Nothing, kw::@Kwargs{}) │ @ HTTP ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:457 │ [15] request(stack::Function, method::String, url::String, h::Nothing, b::Vector{UInt8}, q::Nothing) │ @ HTTP ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:455 │ [16] #request#21 │ @ ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:315 [inlined] │ [17] request (repeats 2 times) │ @ ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:313 [inlined] │ [18] get │ @ ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:518 [inlined] │ [19] macro expansion │ @ ~/.julia/packages/HTTP/4AUPl/src/precompile.jl:36 [inlined] │ [20] macro expansion │ @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:78 [inlined] │ [21] (::HTTP.var"#51#52"{String})() │ @ HTTP ~/.julia/packages/HTTP/4AUPl/src/precompile.jl:35 │ [22] withenv(::HTTP.var"#51#52"{String}, ::Pair{String, Union{Nothing, String}}, ::Vararg{Pair{String, Union{Nothing, String}}}) │ @ Base ./env.jl:265 │ [23] macro expansion │ @ ~/.julia/packages/HTTP/4AUPl/src/precompile.jl:34 [inlined] │ [24] macro expansion │ @ ~/.julia/packages/PrecompileTools/L8A3n/src/workloads.jl:140 [inlined] │ [25] top-level scope │ @ ~/.julia/packages/HTTP/4AUPl/src/precompile.jl:4 │ [26] include(mapexpr::Function, mod::Module, _path::String) │ @ Base ./Base.jl:301 │ [27] IncludeInto │ @ ./Base.jl:302 [inlined] │ [28] top-level scope │ @ ~/.julia/packages/HTTP/4AUPl/src/HTTP.jl:636 │ [29] include(mod::Module, _path::String) │ @ Base ./Base.jl:300 │ [30] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String) │ @ Base ./loading.jl:2995 │ [31] top-level scope │ @ stdin:6 │ [32] eval(m::Module, e::Any) │ @ Core ./boot.jl:485 │ [33] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2846 │ [34] include_string │ @ ./loading.jl:2856 [inlined] │ [35] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:327 │ [36] _start() └ @ Base ./client.jl:558 ┌ Warning: `MvNormal(μ::AbstractVector{<:Real}, σ::Real)` is deprecated, use `MvNormal(μ, σ ^ 2 * I)` instead. │ caller = ip:0x0 └ @ Core :-1 ┌ Warning: No functional GPU backend found! Defaulting to CPU. │ │ 1. If no GPU is available, nothing needs to be done. │ 2. If GPU is available, load the corresponding trigger package. │ a. `CUDA.jl` and `cuDNN.jl` (or just `LuxCUDA.jl`) for NVIDIA CUDA Support. │ b. `AMDGPU.jl` for AMD GPU ROCM Support. │ c. `Metal.jl` for Apple Metal GPU Support. (Experimental) │ d. `oneAPI.jl` for Intel oneAPI GPU Support. (Experimental) └ @ MLDataDevices.Internal ~/.julia/packages/MLDataDevices/hoL1S/src/internal.jl:94 ┌ Warning: Layer with Float32 parameters got Float64 input. │ The input will be converted, but any earlier layers may be very slow. │ layer = Dense(10 => 1) # 11 parameters │ summary(x) = "10×32 Matrix{Float64}" └ @ Flux ~/.julia/packages/Flux/vwk6M/src/layers/stateless.jl:59 Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [1e-01, 1e+10] Cost [7e-01, 1e+00] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 9 rows, 9 cols, 32 nonzeros 0s 7 rows, 7 cols, 25 nonzeros 0s Solving MIP model with: 7 rows 7 cols (2 binary, 0 integer, 0 implied int., 5 continuous) 25 nonzeros Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% -4.486547746 inf inf 0 0 0 0 0.2s R 0 0 0 0.00% -4.255825335 -3.945039381 7.88% 0 0 0 5 0.2s T 0 0 0 0.00% -4.255825335 -3.945039381 7.88% 0 0 0 10 0.2s 1 0 1 100.00% -3.945039381 -3.945039381 0.00% 0 0 0 10 0.3s Solving report Status Optimal Primal bound -3.94503938139 Dual bound -3.94503938139 Gap 0% (tolerance: 0.01%) P-D integral 0.000971667770571 Solution status feasible -3.94503938139 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.25 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 1 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 10 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [3e-01, 1e+10] Cost [3e-01, 3e-01] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 10 rows, 9 cols, 36 nonzeros 0s 7 rows, 6 cols, 27 nonzeros 0s 0 rows, 0 cols, 0 nonzeros 0s Presolve: Optimal Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% 3.782074169 3.782074169 0.00% 0 0 0 0 0.0s Solving report Status Optimal Primal bound 3.78207416862 Dual bound 3.78207416862 Gap 0% (tolerance: 0.01%) P-D integral 0 Solution status feasible 3.78207416862 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.00 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 0 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 0 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [1e-01, 1e+10] Cost [2e-01, 1e+00] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 8 rows, 8 cols, 29 nonzeros 0s 4 rows, 4 cols, 12 nonzeros 0s 2 rows, 3 cols, 6 nonzeros 0s 0 rows, 0 cols, 0 nonzeros 0s Presolve: Optimal Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% 0.1064580201 0.1064580201 0.00% 0 0 0 0 0.0s Solving report Status Optimal Primal bound 0.106458020073 Dual bound 0.106458020073 Gap 0% (tolerance: 0.01%) P-D integral 0 Solution status feasible 0.106458020073 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.00 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 0 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 0 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [4e-02, 1e+10] Cost [2e-01, 1e+00] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 10 rows, 9 cols, 36 nonzeros 0s 7 rows, 5 cols, 21 nonzeros 0s 3 rows, 3 cols, 9 nonzeros 0s 0 rows, 0 cols, 0 nonzeros 0s Presolve: Optimal Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% 2.059286898 2.059286898 0.00% 0 0 0 0 0.0s Solving report Status Optimal Primal bound 2.05928689796 Dual bound 2.05928689796 Gap 0% (tolerance: 0.01%) P-D integral 0 Solution status feasible 2.05928689796 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.00 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 0 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 0 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [3e-01, 1e+10] Cost [2e-01, 4e-01] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 10 rows, 9 cols, 36 nonzeros 0s 6 rows, 5 cols, 20 nonzeros 0s 4 rows, 5 cols, 14 nonzeros 0s Solving MIP model with: 4 rows 5 cols (1 binary, 0 integer, 0 implied int., 4 continuous) 14 nonzeros Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% -0.9744134867 inf inf 0 0 0 0 0.0s R 0 0 0 0.00% -0.7104825031 -0.4352555347 63.23% 0 0 0 2 0.0s 1 0 1 100.00% -0.4352555347 -0.4352555347 0.00% 0 0 0 5 0.0s Solving report Status Optimal Primal bound -0.435255534729 Dual bound -0.435255534729 Gap 0% (tolerance: 0.01%) P-D integral 0.000172318938188 Solution status feasible -0.435255534729 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.01 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 1 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 5 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [4e-01, 1e+10] Cost [6e-03, 1e+00] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 10 rows, 9 cols, 36 nonzeros 0s 4 rows, 5 cols, 14 nonzeros 0s Solving MIP model with: 4 rows 5 cols (1 binary, 0 integer, 0 implied int., 4 continuous) 14 nonzeros Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% -0.0103880456 inf inf 0 0 0 0 0.0s T 0 0 0 100.00% -0.0103880456 -0.0103880405 0.00% 0 0 0 2 0.0s 1 0 1 100.00% -0.0103880405 -0.0103880405 0.00% 0 0 0 2 0.0s Solving report Status Optimal Primal bound -0.0103880404547 Dual bound -0.0103880404547 Gap 0% (tolerance: 0.01%) P-D integral 1.15837611519e-11 Solution status feasible -0.0103880404547 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.00 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 1 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 2 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [3e-01, 1e+10] Cost [1e-02, 1e+00] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 10 rows, 9 cols, 36 nonzeros 0s 6 rows, 5 cols, 20 nonzeros 0s 4 rows, 5 cols, 14 nonzeros 0s Solving MIP model with: 4 rows 5 cols (1 binary, 0 integer, 0 implied int., 4 continuous) 14 nonzeros Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% 0.0136547152 inf inf 0 0 0 0 0.0s T 0 0 0 100.00% 0.0136547152 0.0136547152 0.00% 0 0 0 0 0.0s 1 0 1 100.00% 0.0136547152 0.0136547152 0.00% 0 0 0 0 0.0s Solving report Status Optimal Primal bound 0.0136547152435 Dual bound 0.0136547152435 Gap 0% (tolerance: 0.01%) P-D integral 0 Solution status feasible 0.0136547152435 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.00 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 1 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 0 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [4e-01, 1e+10] Cost [1e-01, 2e-01] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 9 rows, 9 cols, 32 nonzeros 0s 7 rows, 7 cols, 25 nonzeros 0s Solving MIP model with: 7 rows 7 cols (2 binary, 0 integer, 0 implied int., 5 continuous) 25 nonzeros Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% 0 inf inf 0 0 0 0 0.0s T 0 0 0 100.00% 0 0 0.00% 0 0 0 0 0.0s 1 0 1 100.00% 0 0 0.00% 0 0 0 0 0.0s Solving report Status Optimal Primal bound 0 Dual bound 0 Gap 0% (tolerance: 0.01%) P-D integral 0 Solution status feasible 0 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.01 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 1 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 0 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [5e-03, 1e+10] Cost [5e-01, 6e-01] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 9 rows, 9 cols, 32 nonzeros 0s 6 rows, 5 cols, 17 nonzeros 0s 4 rows, 5 cols, 14 nonzeros 0s Solving MIP model with: 4 rows 5 cols (1 binary, 0 integer, 0 implied int., 4 continuous) 14 nonzeros Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% 0 inf inf 0 0 0 0 0.0s T 0 0 0 100.00% 0 0 0.00% 0 0 0 0 0.0s 1 0 1 100.00% 0 0 0.00% 0 0 0 0 0.0s Solving report Status Optimal Primal bound 0 Dual bound 0 Gap 0% (tolerance: 0.01%) P-D integral 0 Solution status feasible 0 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.00 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 1 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 0 (total) 0 (strong br.) 0 (separation) 0 (heuristics) Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms MIP has 10 rows; 9 cols; 36 nonzeros; 3 integer variables (3 binary) Coefficient ranges: Matrix [5e-03, 1e+10] Cost [2e-01, 8e-01] Bound [1e+00, 2e+00] RHS [1e+01, 1e+10] Presolving model 10 rows, 9 cols, 36 nonzeros 0s 10 rows, 6 cols, 30 nonzeros 0s 4 rows, 3 cols, 12 nonzeros 0s 0 rows, 0 cols, 0 nonzeros 0s Presolve: Optimal Src: B => Branching; C => Central rounding; F => Feasibility pump; H => Heuristic; L => Sub-MIP; P => Empty MIP; R => Randomized rounding; S => Solve LP; T => Evaluate node; U => Unbounded; z => Trivial zero; l => Trivial lower; u => Trivial upper; p => Trivial point; X => User solution Nodes | B&B Tree | Objective Bounds | Dynamic Constraints | Work Src Proc. InQueue | Leaves Expl. | BestBound BestSol Gap | Cuts InLp Confl. | LpIters Time 0 0 0 0.00% -6.785928756 -6.785928756 0.00% 0 0 0 0 0.0s Solving report Status Optimal Primal bound -6.78592875592 Dual bound -6.78592875592 Gap 0% (tolerance: 0.01%) P-D integral 0 Solution status feasible -6.78592875592 (objective) 0 (bound viol.) 0 (int. viol.) 0 (row viol.) Timing 0.00 (total) 0.00 (presolve) 0.00 (solve) 0.00 (postsolve) Max sub-MIP depth 0 Nodes 0 Repair LPs 0 (0 feasible; 0 iterations) LP iterations 0 (total) 0 (strong br.) 0 (separation) 0 (heuristics) ┌ Warning: All ids are ignored └ @ LearningToOptimize ~/.julia/packages/LearningToOptimize/zmKk4/src/datasetgen.jl:201 [ Info: Saving CSV file to /tmp/jl_SsfQkB/pglib_opf_case5_pjm_DCPPowerModel_POI_load_input_295667ba-091f-11f0-0d7e-7d11aa4b137b.csv - Mode: write ┌ Warning: All ids are ignored └ @ LearningToOptimize ~/.julia/packages/LearningToOptimize/zmKk4/src/datasetgen.jl:201 [ Info: Saving CSV file to /tmp/jl_SsfQkB/test_396547e6-091f-11f0-1d01-8b98ed2d8d08_input.csv - Mode: write Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Presolving model 0 rows, 0 cols, 0 nonzeros 0s 0 rows, 0 cols, 0 nonzeros 0s Presolve : Reductions: rows 0(-1); columns 0(-1); elements 0(-1) - Reduced to empty Solving the original LP from the solution after postsolve Model status : Optimal Objective value : 4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 [ Info: Recorded 10.0 % of 10 problems LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [1e+00, 1e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [0e+00, 0e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 0.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [1e+00, 1e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -6.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [4e+00, 4e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -8.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [5e+00, 5e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.0000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [6e+00, 6e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.2000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [7e+00, 7e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.4000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 [ Info: Recorded 100.0 % of 10 problems LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [1e+00, 1e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [0e+00, 0e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 0.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [1e+00, 1e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -6.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [4e+00, 4e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -8.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [5e+00, 5e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.0000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [6e+00, 6e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.2000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [7e+00, 7e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.4000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 [ Info: Recorded 100.0 % of 10 problems Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Presolving model 0 rows, 0 cols, 0 nonzeros 0s 0 rows, 0 cols, 0 nonzeros 0s Presolve : Reductions: rows 0(-1); columns 0(-1); elements 0(-1) - Reduced to empty Solving the original LP from the solution after postsolve Model status : Optimal Objective value : 4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 [ Info: Recorded 10.0 % of 10 problems LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [1e+00, 1e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [0e+00, 0e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 0.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [1e+00, 1e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -6.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [4e+00, 4e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -8.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [5e+00, 5e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.0000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [6e+00, 6e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.2000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [7e+00, 7e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.4000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 [ Info: Recorded 100.0 % of 10 problems LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [1e+00, 1e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [0e+00, 0e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 0.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [1e+00, 1e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [2e+00, 2e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -6.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [4e+00, 4e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -8.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [5e+00, 5e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.0000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [6e+00, 6e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.2000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 1 cols; 1 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [0e+00, 0e+00] RHS [7e+00, 7e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.4000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 [ Info: Recorded 100.0 % of 10 problems Running HiGHS 1.10.0 (git hash: fd8665394e): Copyright (c) 2025 HiGHS under MIT licence terms LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [1e+00, 1e+00] RHS [3e+00, 3e+00] Presolving model 0 rows, 0 cols, 0 nonzeros 0s 0 rows, 0 cols, 0 nonzeros 0s Presolve : Reductions: rows 0(-1); columns 0(-2); elements 0(-2) - Reduced to empty Solving the original LP from the solution after postsolve Model status : Optimal Objective value : 4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [2e+00, 2e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [3e+00, 3e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : 0.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [4e+00, 4e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -2.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [5e+00, 5e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -4.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [6e+00, 6e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -6.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [7e+00, 7e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -8.0000000000e+00 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [8e+00, 8e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.0000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [9e+00, 9e+00] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.2000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 LP has 1 rows; 2 cols; 2 nonzeros Coefficient ranges: Matrix [1e+00, 1e+00] Cost [2e+00, 2e+00] Bound [1e+01, 1e+01] RHS [3e+00, 3e+00] Solving LP without presolve, or with basis, or unconstrained Model status : Optimal Objective value : -1.4000000000e+01 Relative P-D gap : 0.0000000000e+00 HiGHS run time : 0.00 [ Info: Recorded 100.0 % of 10 problems ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 2.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 4.1399999e+00 0.00e+00 1.00e-06 -1.0 2.07e+00 - 1.00e+00 1.00e+00h 1 2 4.0028284e+00 0.00e+00 2.83e-08 -2.5 6.86e-02 - 1.00e+00 1.00e+00f 1 3 4.0001504e+00 0.00e+00 1.50e-09 -3.8 1.34e-03 - 1.00e+00 1.00e+00f 1 4 4.0000018e+00 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 3.9999999e+00 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: 3.9999999425059038e+00 3.9999999425059038e+00 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 11.795 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.1399999e+00 0.00e+00 1.00e-06 -1.0 1.07e+00 - 1.00e+00 1.00e+00h 1 2 2.0028284e+00 0.00e+00 2.83e-08 -2.5 6.86e-02 - 1.00e+00 1.00e+00f 1 3 2.0001504e+00 0.00e+00 1.50e-09 -3.8 1.34e-03 - 1.00e+00 1.00e+00f 1 4 2.0000018e+00 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 1.9999999e+00 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: 1.9999999425059038e+00 1.9999999425059038e+00 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -1.4850051e-02 7.42e-03 1.29e-01 -1.7 4.00e-02 - 1.00e+00 7.42e-01h 1 2 2.8283669e-03 0.00e+00 2.83e-08 -2.5 8.84e-03 - 1.00e+00 1.00e+00h 1 3 1.5036416e-04 0.00e+00 1.50e-09 -3.8 1.34e-03 - 1.00e+00 1.00e+00f 1 4 1.7849146e-06 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 -5.7494096e-08 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: -5.7494095964807319e-08 -5.7494095964807319e-08 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -1.9800001e+00 0.00e+00 2.50e-01 -1.7 1.98e+00 - 1.00e+00 5.00e-01f 1 2 -1.9800001e+00 0.00e+00 2.00e-07 -1.7 1.30e-09 - 1.00e+00 1.00e+00f 1 3 -1.9998496e+00 0.00e+00 1.50e-09 -3.8 9.92e-03 - 1.00e+00 1.00e+00f 1 4 -1.9999982e+00 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 -2.0000001e+00 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: -2.0000000574940962e+00 -2.0000000574940962e+00 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -3.9600001e+00 0.00e+00 2.46e-01 -1.0 3.90e+00 - 1.00e+00 5.08e-01f 1 2 -3.9800001e+00 0.00e+00 2.00e-07 -1.7 1.00e-02 - 1.00e+00 1.00e+00f 1 3 -3.9998496e+00 0.00e+00 1.50e-09 -3.8 9.92e-03 - 1.00e+00 1.00e+00f 1 4 -3.9999982e+00 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 -4.0000001e+00 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: -4.0000000574940957e+00 -4.0000000574940957e+00 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -5.9400001e+00 0.00e+00 2.48e-01 -1.0 5.90e+00 - 1.00e+00 5.03e-01f 1 2 -5.9800000e+00 0.00e+00 2.00e-07 -1.7 2.00e-02 - 1.00e+00 1.00e+00f 1 3 -5.9998496e+00 0.00e+00 1.50e-09 -3.8 9.92e-03 - 1.00e+00 1.00e+00f 1 4 -5.9999982e+00 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 -6.0000001e+00 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: -6.0000000574940957e+00 -6.0000000574940957e+00 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -7.9200001e+00 0.00e+00 2.49e-01 -1.0 7.90e+00 - 1.00e+00 5.01e-01f 1 2 -7.9800000e+00 0.00e+00 2.00e-07 -1.7 3.00e-02 - 1.00e+00 1.00e+00f 1 3 -7.9998496e+00 0.00e+00 1.50e-09 -3.8 9.92e-03 - 1.00e+00 1.00e+00f 1 4 -7.9999982e+00 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 -8.0000001e+00 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: -8.0000000574940966e+00 -8.0000000574940966e+00 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -9.9000001e+00 0.00e+00 2.50e-01 -1.0 9.90e+00 - 1.00e+00 5.00e-01f 1 2 -9.9800000e+00 0.00e+00 2.00e-07 -1.7 4.00e-02 - 1.00e+00 1.00e+00f 1 3 -9.9998496e+00 0.00e+00 1.50e-09 -3.8 9.92e-03 - 1.00e+00 1.00e+00f 1 4 -9.9999982e+00 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 -1.0000000e+01 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: -1.0000000057494097e+01 -1.0000000057494097e+01 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -1.1880000e+01 0.00e+00 2.50e-01 -1.0 1.19e+01 - 1.00e+00 4.99e-01f 1 2 -1.1980000e+01 0.00e+00 2.00e-07 -1.7 5.00e-02 - 1.00e+00 1.00e+00f 1 3 -1.1999850e+01 0.00e+00 1.50e-09 -3.8 9.92e-03 - 1.00e+00 1.00e+00f 1 4 -1.1999998e+01 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 -1.2000000e+01 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: -1.2000000057494097e+01 -1.2000000057494097e+01 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 1 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 1 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 0.00e+00 5.00e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 -1.3860000e+01 0.00e+00 2.51e-01 -1.0 1.39e+01 - 1.00e+00 4.99e-01f 1 2 -1.3980000e+01 0.00e+00 2.00e-07 -1.7 6.00e-02 - 1.00e+00 1.00e+00f 1 3 -1.3999850e+01 0.00e+00 1.50e-09 -3.8 9.92e-03 - 1.00e+00 1.00e+00f 1 4 -1.3999998e+01 0.00e+00 1.84e-11 -5.7 7.43e-05 - 1.00e+00 1.00e+00f 1 5 -1.4000000e+01 0.00e+00 2.49e-14 -8.6 9.21e-07 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 5 (scaled) (unscaled) Objective...............: -1.4000000057494097e+01 -1.4000000057494097e+01 Dual infeasibility......: 2.4868995751603507e-14 2.4868995751603507e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059039288067052e-09 2.5059039288067052e-09 Overall NLP error.......: 2.5059039288067052e-09 2.5059039288067052e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 6 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 1 Number of Lagrangian Hessian evaluations = 1 Total seconds in IPOPT = 0.003 EXIT: Optimal Solution Found. [ Info: Recorded 100.0 % of 10 problems [ Info: Batch ID: 5e6cb592-091f-11f0-0411-336463f45bdf [info | PowerModels]: extending matpower format with data: areas 1x3 [info | PowerModels]: removing 1 cost terms from generator 4: [4000.0, 0.0] [info | PowerModels]: removing 1 cost terms from generator 1: [1400.0, 0.0] [info | PowerModels]: removing 1 cost terms from generator 5: [1000.0, 0.0] [info | PowerModels]: removing 1 cost terms from generator 2: [1500.0, 0.0] [info | PowerModels]: removing 1 cost terms from generator 3: [3000.0, 0.0] [info | PowerModels]: updated generator 4 cost function with order 2 to a function of order 3: [0.0, 4000.0, 0.0] [info | PowerModels]: updated generator 1 cost function with order 2 to a function of order 3: [0.0, 1400.0, 0.0] [info | PowerModels]: updated generator 5 cost function with order 2 to a function of order 3: [0.0, 1000.0, 0.0] [info | PowerModels]: updated generator 2 cost function with order 2 to a function of order 3: [0.0, 1500.0, 0.0] [info | PowerModels]: updated generator 3 cost function with order 2 to a function of order 3: [0.0, 3000.0, 0.0] [ Info: Saving CSV file to /tmp/jl_SsfQkB/DCPPowerModel/pglib_opf_case5_pjm_DCPPowerModel_input_5e6cb592-091f-11f0-0411-336463f45bdf.csv - Mode: write [ Info: Recorded 50.0 % of 20 problems [ Info: Training machine(MultitargetNeuralNetworkRegressor(builder = FullyConnectedBuilder(hidden_sizes = [64, 32]), …), …). [ Info: MLJFlux: converting input data to Float32 [ Info: Loss is 1.663e7 [ Info: Loss is 1.662e7 [ Info: Loss is 1.662e7 [ Info: Loss is 1.662e7 [ Info: Loss is 1.661e7 [ Info: Loss is 1.66e7 [ Info: Loss is 1.66e7 [ Info: Loss is 1.658e7 [ Info: Loss is 1.657e7 [ Info: Loss is 1.655e7 [ Info: Loss is 1.652e7 [ Info: Loss is 1.649e7 [ Info: Loss is 1.645e7 [ Info: Loss is 1.639e7 [ Info: Loss is 1.632e7 [ Info: Loss is 1.624e7 [ Info: Loss is 1.614e7 [ Info: Loss is 1.602e7 [ Info: Loss is 1.588e7 [ Info: Loss is 1.572e7 Test Summary: | Pass Total Time LearningToOptimize.jl | 110 110 10m23.4s Testing LearningToOptimize tests passed Testing completed after 1435.98s PkgEval succeeded after 2302.66s