Package evaluation of TextClassification on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T19:05:35.356 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.34s ################################################################################ # Installation # Installing TextClassification... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [8e067cb0] + TextClassification v0.5.3 Updating `~/.julia/environments/v1.11/Manifest.toml` [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.18.0 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.6 [324d7699] + CategoricalArrays v0.10.8 [d360d2e6] + ChainRulesCore v1.25.1 [fb6a15b2] + CloseOpenIntervals v0.1.13 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.5.8 [6add18c4] + ContextVariablesX v0.1.3 [adafc99b] + CpuId v0.3.1 [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 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.4 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [9c68100b] + FoldsThreads v0.1.2 [069b7b12] + FunctionWrappers v1.1.3 [3e5b6fbb] + HostCPUFeatures v0.1.17 [615f187c] + IfElse v0.1.1 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.3 ⌅ [6d0fbc77] + Intersections v0.3.3 [3587e190] + InverseFunctions v0.1.17 ⌅ [b20bd276] + InvertedFiles v0.5.5 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] + JLD2 v0.4.54 [692b3bcd] + JLLWrappers v1.7.0 [b14d175d] + JuliaVariables v0.2.4 ⌅ [5d8de97f] + KCenters v0.8.1 ⌅ [4dca28ae] + KNearestCenters v0.7.5 ⌅ [2d691ee1] + LIBLINEAR v0.6.0 [b964fa9f] + LaTeXStrings v1.4.0 [10f19ff3] + LayoutPointers v0.1.17 ⌅ [7f8f8fb0] + LearnBase v0.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [bdcacae8] + LoopVectorization v0.12.172 ⌅ [30fc2ffe] + LossFunctions v0.8.1 ⌃ [9920b226] + MLDataPattern v0.5.4 [cc2ba9b6] + MLDataUtils v0.5.4 [66a33bbf] + MLLabelUtils v0.5.7 [d8e11817] + MLStyle v0.4.17 ⌅ [f1d291b0] + MLUtils v0.2.11 [1914dd2f] + MacroTools v0.5.15 [d125e4d3] + ManualMemory v0.1.8 [dbb5928d] + MappedArrays v0.4.2 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [71a1bf82] + NameResolution v0.1.5 [6fe1bfb0] + OffsetArrays v1.16.0 [bac558e1] + OrderedCollections v1.8.0 [d96e819e] + Parameters v0.12.3 [f517fe37] + Polyester v0.7.16 [1d0040c9] + PolyesterWeave v0.2.2 [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 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.43 ⌅ [0e966ebe] + SearchModels v0.3.3 [91c51154] + SentinelArrays v1.4.8 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 ⌅ [053f045d] + SimilaritySearch v0.10.12 [a2af1166] + SortingAlgorithms v1.2.1 [171d559e] + SplittablesBase v0.1.15 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.8.0 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 ⌅ [2913bbd2] + StatsBase v0.33.21 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [8e067cb0] + TextClassification v0.5.3 ⌅ [7f6f6c8a] + TextSearch v0.14.2 [8290d209] + ThreadingUtilities v0.5.2 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.84 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.71 [275f1f90] + liblinear_jll v2.47.0+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 [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 v1.11.0 [de0858da] + Printf 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 v1.11.0 [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 v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+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 4.79s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 268.11s ################################################################################ # Testing # Testing TextClassification Status `/tmp/jl_Qde7pH/Project.toml` [4c88cf16] Aqua v0.8.11 [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [944b1d66] CodecZlib v0.7.8 ⌅ [b20bd276] InvertedFiles v0.5.5 [682c06a0] JSON v0.21.4 ⌅ [4dca28ae] KNearestCenters v0.7.5 ⌅ [2d691ee1] LIBLINEAR v0.6.0 ⌅ [f1d291b0] MLUtils v0.2.11 [d96e819e] Parameters v0.12.3 ⌅ [0e966ebe] SearchModels v0.3.3 ⌅ [053f045d] SimilaritySearch v0.10.12 [82ae8749] StatsAPI v1.7.0 ⌅ [2913bbd2] StatsBase v0.33.21 [8e067cb0] TextClassification v0.5.3 ⌅ [7f6f6c8a] TextSearch v0.14.2 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [37e2e46d] LinearAlgebra v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Qde7pH/Manifest.toml` [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [4c88cf16] Aqua v0.8.11 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.18.0 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.6 [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [d360d2e6] ChainRulesCore v1.25.1 [fb6a15b2] CloseOpenIntervals v0.1.13 [944b1d66] CodecZlib v0.7.8 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [adafc99b] CpuId v0.3.1 [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 [b4f34e82] Distances v0.10.12 [ffbed154] DocStringExtensions v0.9.4 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [48062228] FilePathsBase v0.9.24 [9c68100b] FoldsThreads v0.1.2 [069b7b12] FunctionWrappers v1.1.3 [3e5b6fbb] HostCPUFeatures v0.1.17 [615f187c] IfElse v0.1.1 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.3 ⌅ [6d0fbc77] Intersections v0.3.3 [3587e190] InverseFunctions v0.1.17 ⌅ [b20bd276] InvertedFiles v0.5.5 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] JLD2 v0.4.54 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [b14d175d] JuliaVariables v0.2.4 ⌅ [5d8de97f] KCenters v0.8.1 ⌅ [4dca28ae] KNearestCenters v0.7.5 ⌅ [2d691ee1] LIBLINEAR v0.6.0 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 ⌅ [7f8f8fb0] LearnBase v0.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 [bdcacae8] LoopVectorization v0.12.172 ⌅ [30fc2ffe] LossFunctions v0.8.1 ⌃ [9920b226] MLDataPattern v0.5.4 [cc2ba9b6] MLDataUtils v0.5.4 [66a33bbf] MLLabelUtils v0.5.7 [d8e11817] MLStyle v0.4.17 ⌅ [f1d291b0] MLUtils v0.2.11 [1914dd2f] MacroTools v0.5.15 [d125e4d3] ManualMemory v0.1.8 [dbb5928d] MappedArrays v0.4.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [71a1bf82] NameResolution v0.1.5 [6fe1bfb0] OffsetArrays v1.16.0 [bac558e1] OrderedCollections v1.8.0 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.1 [f517fe37] Polyester v0.7.16 [1d0040c9] PolyesterWeave v0.2.2 [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 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 ⌅ [0e966ebe] SearchModels v0.3.3 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 ⌅ [053f045d] SimilaritySearch v0.10.12 [a2af1166] SortingAlgorithms v1.2.1 [171d559e] SplittablesBase v0.1.15 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.8.0 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 ⌅ [2913bbd2] StatsBase v0.33.21 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [892a3eda] StringManipulation v0.4.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [8e067cb0] TextClassification v0.5.3 ⌅ [7f6f6c8a] TextSearch v0.14.2 [8290d209] ThreadingUtilities v0.5.2 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.84 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.71 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [275f1f90] liblinear_jll v2.47.0+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 [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 v1.11.0 [de0858da] Printf 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 v1.11.0 [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 v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+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... WARNING: Method definition boundscheck() in module StrideArraysCore at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/ptr_array.jl:897 overwritten at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/StrideArraysCore.jl:75. t = "_usr Yo no quería tomar _emo" t = "Ojala alguien llegara y me dijera \"Ten un meet con mario Yose que mario te hace muy feliz y mereces verlo\" _emo" t = "Cada día. . Con más fuerza Te amo _emo @ Playa Nuevo Vallarta _url" t = "_usr _usr _usr _usr _usr _usr _num,_num votos para mis héroes _usr .:*･ _emo VOTACIÓN MASIVA #CD_num #AlonsoVillalpandoTrendy #Coders #KCAMexico" t = "En la tarde me queje de que el chocolala esta en _num pesos y ahora Facebook me sugiere la página de lala... Hasta parece burla _emo _emo _emo GM" t = "mi mente sigue allí _emo _emo en Grand Sirenis Riviera… _url" t = "Y aunque te amo con locura, ya no vuelvas _emo _url" t = "BEBASO _emo _url" t = "Tu saltas, yo salto. No importa si es de paracaídas o bungee. Quiero ganar brouu. #YoMeRifoConJuanpa _emo _num" t = "No tengo con quien hablar porque mis amigas si fueron a la secu hoy y yo no _emo _emo _emo" countmap(trainlabels) = Dict{CategoricalValue{String, UInt32}, Int64}("💔" => 551, "♡" => 542) countmap(testlabels) = Dict{CategoricalValue{String, UInt32}, Int64}("💔" => 232, "♡" => 237) SearchModels> search params iter=0, tol=0.0, initialpopulation=32, maxpopulation=8, bsize=2, mutbsize=8, crossbsize=8 [ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0x1be600000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.BinaryLocalWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.BinaryLocalWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0x1d1500000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0x338700000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.FreqWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.FreqWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0x58a00000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0x24e000000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TpWeighting, TextSearch.IdfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TpWeighting, TextSearch.IdfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.FreqWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.FreqWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0x196500000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.BinaryLocalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.BinaryLocalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.IdfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.IdfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0xddd00000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.FreqWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.FreqWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.BinaryLocalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.BinaryLocalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0xfcd00000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TpWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TpWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.BinaryLocalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.BinaryLocalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TfWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.FreqWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.FreqWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.EntModelConfig{TextSearch.TpWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TpWeighting, TextSearch.IdfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TpWeighting, TextSearch.IdfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception ArgumentError: unsafe_wrap: pointer 0x3a600000002 is not properly aligned to 4 bytes Stacktrace: [1] #unsafe_wrap#116 @ ./pointer.jl:115 [inlined] [2] unsafe_wrap @ ./pointer.jl:113 [inlined] [3] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:239 [4] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [5] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [6] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [7] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [8] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.FreqWeighting, TextSearch.IdfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [9] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [10] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.FreqWeighting, TextSearch.IdfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [11] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [12] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [13] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [15] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [16] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TpWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.TpWeighting, TextSearch.BinaryGlobalWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531[ Info: ignoring configuration due to exception Please check your parameters: Initial-solution specification supported only for solvers L2R_LR, L2R_L2LOSS_SVC, and L2R_L2LOSS_SVR Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] linear_train(labels::Vector{Int64}, instances::SparseArrays.SparseMatrixCSC{Float32, Int64}; weights::Nothing, solver_type::Int32, eps::Float64, C::Float64, p::Float64, init_sol::Ptr{Float64}, bias::Float64, verbose::Bool) @ LIBLINEAR ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:227 [3] linear_train @ ~/.julia/packages/LIBLINEAR/77yny/src/LIBLINEAR.jl:176 [inlined] [4] create(config::LiblinearConfig, train_X::Vector{Dict{UInt32, Float32}}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, dim::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/liblinearconfig.jl:22 [5] #MicroTC#49 @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:81 [inlined] [6] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:74 [inlined] [7] MicroTC(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.BinaryLocalWeighting, TextSearch.IdfWeighting}, LiblinearConfig}, train_corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, train_y::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; textconfig::TextSearch.TextConfig, verbose::Bool, minbatch::Int64) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:70 [8] MicroTC @ ~/.julia/packages/TextClassification/axlIN/src/microtc.jl:48 [inlined] [9] (::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}})(config::MicroTC_Config{TextClassification.VectorModelConfig{TextSearch.BinaryLocalWeighting, TextSearch.IdfWeighting}, LiblinearConfig}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:74 [10] evaluate_queue(errfun::TextClassification.var"#62#65"{TextClassification.var"#63#66", SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}, SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}}, evalqueue::Vector{MicroTC_Config}, population::Vector{Pair}, parallel::Symbol, tmp::Vector{Pair}) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:97 [11] search_models(errfun::Function, space::MicroTC_ConfigSpace, initialpopulation::Int64, params::SearchParams; geterr::typeof(identity), accept_config::Function, inspect_population::SearchModels.var"#18#24", parallel::Symbol) @ SearchModels ~/.julia/packages/SearchModels/3lq52/src/search.jl:244 [12] search_models @ ~/.julia/packages/SearchModels/3lq52/src/search.jl:211 [inlined] [13] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:73 [14] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [15] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [17] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [18] include(fname::String) @ Main ./sysimg.jl:38 [19] top-level scope @ none:6 [20] eval @ ./boot.jl:430 [inlined] [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [22] _start() @ Base ./client.jl:531microtc: Error During Test at /home/pkgeval/.julia/packages/TextClassification/axlIN/test/runtests.jl:6 Got exception outside of a @test BoundsError: attempt to access 0-element Vector{Pair} at index [1] Stacktrace: [1] throw_boundserror(A::Vector{Pair}, I::Tuple{Int64}) @ Base ./essentials.jl:14 [2] getindex @ ./essentials.jl:916 [inlined] [3] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}; slist::Vector{Any}, nlist::Vector{Vector{Any}}, qlist::Vector{Vector{Int64}}, space::MicroTC_ConfigSpace, initialpopulation::Int64, score::TextClassification.var"#63#66", at::Float64, maxpopulation::Int64, bsize::Int64, mutbsize::Int64, crossbsize::Int64, tol::Float64, maxiters::Int64, verbose::Bool, params::SearchParams, sample::Float64, parallel::Symbol) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:79 [4] microtc(corpus::SubArray{Any, 1, Vector{Any}, Tuple{Vector{Int64}}, false}, labels::SubArray{CategoricalValue{String, UInt32}, 1, CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, Tuple{Vector{Int64}}, false}) @ TextClassification ~/.julia/packages/TextClassification/axlIN/src/utils.jl:43 [5] macro expansion @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:32 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [7] top-level scope @ ~/.julia/packages/TextClassification/axlIN/test/runtests.jl:7 [8] include(fname::String) @ Main ./sysimg.jl:38 [9] top-level scope @ none:6 [10] eval @ ./boot.jl:430 [inlined] [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [12] _start() @ Base ./client.jl:531 Test Summary: | Error Total Time microtc | 1 1 1m48.7s ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/TextClassification/axlIN/test/runtests.jl:6 Testing failed after 149.2s ERROR: LoadError: Package TextClassification errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2124 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 445.38s: package tests unexpectedly errored