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################################################################################
# PkgEval set-up: 2020-10-30T04:55:56.435
#
Julia Version 1.6.0-DEV.1380
Commit 300e34cf74 (2020-10-30 02:28 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: AMD EPYC 7502 32-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-11.0.0 (ORCJIT, znver2)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_MAX_NUM_PRECOMPILE_FILES = 9223372036854775807
################################################################################
# Installation: 2020-10-30T04:55:57.775
#
Resolving package versions...
Installed CompilerSupportLibraries_jll ─ v0.3.4+0
Installed OpenBLAS_jll ───────────────── v0.3.10+0
Installed PersistenceDiagramsBase ────── v0.1.0
Installed ColorTypes ─────────────────── v0.10.9
Installed JuliaInterpreter ───────────── v0.7.26
Installed JLLWrappers ────────────────── v1.1.3
Installed UnPack ─────────────────────── v1.0.2
Installed ScientificTypes ────────────── v1.1.0
Installed BSON ───────────────────────── v0.2.6
Installed TreeParzen ─────────────────── v0.2.0
Installed PDMats ─────────────────────── v0.9.12
Installed EzXML ──────────────────────── v1.1.0
Installed Rmath ──────────────────────── v0.6.1
Installed ComputationalResources ─────── v0.3.2
Installed Parsers ────────────────────── v1.0.11
Installed MLJTuning ──────────────────── v0.5.2
Installed Coverage ───────────────────── v1.1.1
Installed FillArrays ─────────────────── v0.8.14
Installed JSON ───────────────────────── v0.21.1
Installed Arpack_jll ─────────────────── v3.5.0+3
Installed XML2_jll ───────────────────── v2.9.10+3
Installed MbedTLS_jll ────────────────── v2.16.8+1
Installed SpecialFunctions ───────────── v0.8.0
Installed JLSO ───────────────────────── v2.3.3
Installed QuadGK ─────────────────────── v2.4.1
Installed LearnBase ──────────────────── v0.4.1
Installed ProgressMeter ──────────────── v1.4.0
Installed StructTypes ────────────────── v1.1.0
Installed IniFile ────────────────────── v0.5.0
Installed FixedPointNumbers ──────────── v0.8.4
Installed Syslogs ────────────────────── v0.3.0
Installed OrderedCollections ─────────── v1.3.1
Installed PrettyTables ───────────────── v0.9.1
Installed MLJModelInterface ──────────── v0.3.6
Installed MLJBase ────────────────────── v0.15.3
Installed Parameters ─────────────────── v0.12.1
Installed IteratorInterfaceExtensions ── v1.0.0
Installed StatsFuns ──────────────────── v0.9.5
Installed RecipesBase ────────────────── v1.1.0
Installed ExprTools ──────────────────── v0.1.3
Installed CodeTracking ───────────────── v0.5.12
Installed SortingAlgorithms ──────────── v0.3.1
Installed LoweredCodeUtils ───────────── v0.4.9
Installed DataStructures ─────────────── v0.17.20
Installed Zlib_jll ───────────────────── v1.2.11+18
Installed CategoricalArrays ──────────── v0.8.3
Installed CoverageTools ──────────────── v1.1.0
Installed Memento ────────────────────── v1.1.1
Installed MbedTLS ────────────────────── v1.0.3
Installed CodecZlib ──────────────────── v0.7.0
Installed BinaryProvider ─────────────── v0.5.10
Installed URIParser ──────────────────── v0.4.1
Installed InvertedIndices ────────────── v1.0.0
Installed DocStringExtensions ────────── v0.8.3
Installed Crayons ────────────────────── v4.0.4
Installed TranscodingStreams ─────────── v0.9.5
Installed Reexport ───────────────────── v0.2.0
Installed HTTP ───────────────────────── v0.8.19
Installed Tables ─────────────────────── v1.1.0
Installed DataAPI ────────────────────── v1.3.0
Installed Missings ───────────────────── v0.4.4
Installed FilePathsBase ──────────────── v0.9.5
Installed Distributions ──────────────── v0.22.6
Installed Rmath_jll ──────────────────── v0.2.2+1
Installed Arpack ─────────────────────── v0.4.0
Installed Compat ─────────────────────── v3.23.0
Installed DataValueInterfaces ────────── v1.0.0
Installed TableTraits ────────────────── v1.0.0
Installed BinDeps ────────────────────── v1.0.1
Installed LossFunctions ──────────────── v0.6.2
Installed Formatting ─────────────────── v0.4.1
Installed Mocking ────────────────────── v0.7.1
Installed StatsBase ──────────────────── v0.32.2
Installed Revise ─────────────────────── v2.7.6
Installed Libiconv_jll ───────────────── v1.16.0+7
Installed TimeZones ──────────────────── v1.5.0
Installed MLJScientificTypes ─────────── v0.3.1
Updating `~/.julia/environments/v1.6/Project.toml`
[eb66a70c] + TreeParzen v0.2.0
Updating `~/.julia/environments/v1.6/Manifest.toml`
[7d9fca2a] + Arpack v0.4.0
[fbb218c0] + BSON v0.2.6
[9e28174c] + BinDeps v1.0.1
[b99e7846] + BinaryProvider v0.5.10
[324d7699] + CategoricalArrays v0.8.3
[da1fd8a2] + CodeTracking v0.5.12
[944b1d66] + CodecZlib v0.7.0
[3da002f7] + ColorTypes v0.10.9
[34da2185] + Compat v3.23.0
[ed09eef8] + ComputationalResources v0.3.2
[a2441757] + Coverage v1.1.1
[c36e975a] + CoverageTools v1.1.0
[a8cc5b0e] + Crayons v4.0.4
[9a962f9c] + DataAPI v1.3.0
[864edb3b] + DataStructures v0.17.20
[e2d170a0] + DataValueInterfaces v1.0.0
[31c24e10] + Distributions v0.22.6
[ffbed154] + DocStringExtensions v0.8.3
[e2ba6199] + ExprTools v0.1.3
[8f5d6c58] + EzXML v1.1.0
[48062228] + FilePathsBase v0.9.5
[1a297f60] + FillArrays v0.8.14
[53c48c17] + FixedPointNumbers v0.8.4
[59287772] + Formatting v0.4.1
[cd3eb016] + HTTP v0.8.19
[83e8ac13] + IniFile v0.5.0
[41ab1584] + InvertedIndices v1.0.0
[82899510] + IteratorInterfaceExtensions v1.0.0
[692b3bcd] + JLLWrappers v1.1.3
[9da8a3cd] + JLSO v2.3.3
[682c06a0] + JSON v0.21.1
[aa1ae85d] + JuliaInterpreter v0.7.26
[7f8f8fb0] + LearnBase v0.4.1
[30fc2ffe] + LossFunctions v0.6.2
[6f1432cf] + LoweredCodeUtils v0.4.9
[a7f614a8] + MLJBase v0.15.3
[e80e1ace] + MLJModelInterface v0.3.6
[2e2323e0] + MLJScientificTypes v0.3.1
[03970b2e] + MLJTuning v0.5.2
[739be429] + MbedTLS v1.0.3
[f28f55f0] + Memento v1.1.1
[e1d29d7a] + Missings v0.4.4
[78c3b35d] + Mocking v0.7.1
[bac558e1] + OrderedCollections v1.3.1
[90014a1f] + PDMats v0.9.12
[d96e819e] + Parameters v0.12.1
[69de0a69] + Parsers v1.0.11
[b1ad91c1] + PersistenceDiagramsBase v0.1.0
[08abe8d2] + PrettyTables v0.9.1
[92933f4c] + ProgressMeter v1.4.0
[1fd47b50] + QuadGK v2.4.1
[3cdcf5f2] + RecipesBase v1.1.0
[189a3867] + Reexport v0.2.0
[295af30f] + Revise v2.7.6
[79098fc4] + Rmath v0.6.1
[321657f4] + ScientificTypes v1.1.0
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.8.0
[2913bbd2] + StatsBase v0.32.2
[4c63d2b9] + StatsFuns v0.9.5
[856f2bd8] + StructTypes v1.1.0
[cea106d9] + Syslogs v0.3.0
[3783bdb8] + TableTraits v1.0.0
[bd369af6] + Tables v1.1.0
[f269a46b] + TimeZones v1.5.0
[3bb67fe8] + TranscodingStreams v0.9.5
[eb66a70c] + TreeParzen v0.2.0
[30578b45] + URIParser v0.4.1
[3a884ed6] + UnPack v1.0.2
[68821587] + Arpack_jll v3.5.0+3
[e66e0078] + CompilerSupportLibraries_jll v0.3.4+0
[94ce4f54] + Libiconv_jll v1.16.0+7
[c8ffd9c3] + MbedTLS_jll v2.16.8+1
[4536629a] + OpenBLAS_jll v0.3.10+0
[f50d1b31] + Rmath_jll v0.2.2+1
[02c8fc9c] + XML2_jll v2.9.10+3
[83775a58] + Zlib_jll v1.2.11+18
[0dad84c5] + ArgTools
[56f22d72] + Artifacts
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[f43a241f] + Downloads
[7b1f6079] + FileWatching
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[b27032c2] + LibCURL
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[4607b0f0] + SuiteSparse
[fa267f1f] + TOML
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
[deac9b47] + LibCURL_jll
[14a3606d] + MozillaCACerts_jll
Building SpecialFunctions → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/3bdd374b6fd78faf0119b8c5d538788dbf910c6e/build.log`
Building TimeZones ───────→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/e863e6524c2a8d703bbd59e7592c97537c94579f/build.log`
################################################################################
# Testing: 2020-10-30T04:57:24.811
#
Testing TreeParzen
Status `/tmp/jl_YyF9Q5/Project.toml`
[34da2185] Compat v3.23.0
[a2441757] Coverage v1.1.1
[7806a523] DecisionTree v0.10.10
[31c24e10] Distributions v0.22.6
[ffbed154] DocStringExtensions v0.8.3
[a7f614a8] MLJBase v0.15.3
[d491faf4] MLJModels v0.12.9
[03970b2e] MLJTuning v0.5.2
[295af30f] Revise v2.7.6
[276daf66] SpecialFunctions v0.8.0
[2913bbd2] StatsBase v0.32.2
[eb66a70c] TreeParzen v0.2.0
[ade2ca70] Dates
[10745b16] Statistics
[8dfed614] Test
Status `/tmp/jl_YyF9Q5/Manifest.toml`
[7d9fca2a] Arpack v0.4.0
[fbb218c0] BSON v0.2.6
[9e28174c] BinDeps v1.0.1
[b99e7846] BinaryProvider v0.5.10
[324d7699] CategoricalArrays v0.8.3
[da1fd8a2] CodeTracking v0.5.12
[944b1d66] CodecZlib v0.7.0
[3da002f7] ColorTypes v0.10.9
[34da2185] Compat v3.23.0
[ed09eef8] ComputationalResources v0.3.2
[a2441757] Coverage v1.1.1
[c36e975a] CoverageTools v1.1.0
[a8cc5b0e] Crayons v4.0.4
[9a962f9c] DataAPI v1.3.0
[864edb3b] DataStructures v0.17.20
[e2d170a0] DataValueInterfaces v1.0.0
[7806a523] DecisionTree v0.10.10
[b4f34e82] Distances v0.10.0
[31c24e10] Distributions v0.22.6
[ffbed154] DocStringExtensions v0.8.3
[e2ba6199] ExprTools v0.1.3
[8f5d6c58] EzXML v1.1.0
[48062228] FilePathsBase v0.9.5
[1a297f60] FillArrays v0.8.14
[53c48c17] FixedPointNumbers v0.8.4
[59287772] Formatting v0.4.1
[cd3eb016] HTTP v0.8.19
[83e8ac13] IniFile v0.5.0
[41ab1584] InvertedIndices v1.0.0
[82899510] IteratorInterfaceExtensions v1.0.0
[692b3bcd] JLLWrappers v1.1.3
[9da8a3cd] JLSO v2.3.3
[682c06a0] JSON v0.21.1
[aa1ae85d] JuliaInterpreter v0.7.26
[7f8f8fb0] LearnBase v0.4.1
[30fc2ffe] LossFunctions v0.6.2
[6f1432cf] LoweredCodeUtils v0.4.9
[a7f614a8] MLJBase v0.15.3
[e80e1ace] MLJModelInterface v0.3.6
[d491faf4] MLJModels v0.12.9
[2e2323e0] MLJScientificTypes v0.3.1
[03970b2e] MLJTuning v0.5.2
[739be429] MbedTLS v1.0.3
[f28f55f0] Memento v1.1.1
[e1d29d7a] Missings v0.4.4
[78c3b35d] Mocking v0.7.1
[bac558e1] OrderedCollections v1.3.1
[90014a1f] PDMats v0.9.12
[d96e819e] Parameters v0.12.1
[69de0a69] Parsers v1.0.11
[b1ad91c1] PersistenceDiagramsBase v0.1.0
[08abe8d2] PrettyTables v0.9.1
[92933f4c] ProgressMeter v1.4.0
[1fd47b50] QuadGK v2.4.1
[3cdcf5f2] RecipesBase v1.1.0
[189a3867] Reexport v0.2.0
[ae029012] Requires v1.1.0
[295af30f] Revise v2.7.6
[79098fc4] Rmath v0.6.1
[321657f4] ScientificTypes v1.1.0
[6e75b9c4] ScikitLearnBase v0.5.0
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.8.0
[860ef19b] StableRNGs v0.1.2
[2913bbd2] StatsBase v0.32.2
[4c63d2b9] StatsFuns v0.9.5
[856f2bd8] StructTypes v1.1.0
[cea106d9] Syslogs v0.3.0
[3783bdb8] TableTraits v1.0.0
[bd369af6] Tables v1.1.0
[f269a46b] TimeZones v1.5.0
[3bb67fe8] TranscodingStreams v0.9.5
[eb66a70c] TreeParzen v0.2.0
[30578b45] URIParser v0.4.1
[3a884ed6] UnPack v1.0.2
[68821587] Arpack_jll v3.5.0+3
[e66e0078] CompilerSupportLibraries_jll v0.3.4+0
[94ce4f54] Libiconv_jll v1.16.0+7
[c8ffd9c3] MbedTLS_jll v2.16.8+1
[4536629a] OpenBLAS_jll v0.3.10+0
[f50d1b31] Rmath_jll v0.2.2+1
[02c8fc9c] XML2_jll v2.9.10+3
[83775a58] Zlib_jll v1.2.11+18
[0dad84c5] ArgTools
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[f43a241f] Downloads
[7b1f6079] FileWatching
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[b27032c2] LibCURL
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[44cfe95a] Pkg
[de0858da] Printf
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[4607b0f0] SuiteSparse
[fa267f1f] TOML
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
[deac9b47] LibCURL_jll
[14a3606d] MozillaCACerts_jll
Testing Running tests...
[ Info: Bincount
[ Info: Configuration
[ Info: dfs
[ Info: graph
[ Info: forgettingweights
[ Info: Trials
[ Info: fmin: 3 / 3 trials carried out
[ Info: GMM1
[ Info: GMM1 Math and QGMM1 Math
[ Info: LGMM1
[ Info: Resolve
[ Info: Spaces
[ Info: Basic
[ Info: fmin: 50 / 50 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin: 10 / 10 trials carried out
[ Info: Successfully completed fmin
[ Info: bjkomer/Squared
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: bjkomer/Function fitting
[ Info: fmin: 1000 / 1000 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin: 1000 / 1000 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin: 1000 / 1000 trials carried out
[ Info: Successfully completed fmin
[ Info: Official Cases
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin/Quadratic
[ Info: fmin: 50 / 50 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin/Return Inf
[ Info: fmin: 50 / 50 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin/Submit points to Trial
[ Info: fmin: 10 / 10 trials carried out
[ Info: Successfully completed fmin
[ Info: Silvrback
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin: 50 / 50 trials carried out
[ Info: Successfully completed fmin
[ Info: Vooban/Basic
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: Vooban/Find min
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: Vooban/Status Fail skip
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: hp_pchoice
[ Info: LogQuantNormal
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: LogUniform
[ Info: QuantUniform
[ Info: fmin: 100 / 100 trials carried out
[ Info: Successfully completed fmin
[ Info: QuantNormal
[ Info: LogQuantUniform
[ Info: Uniform
[ Info: MLJ Unit tests
[ Info: MLJ integration
[ Info: Model metadata loaded from registry.
[ Info: lazy space
[ Info: Training [34mMachine{ProbabilisticTunedModel{MLJTreeParzenTuning,…}} @239[39m.
[ Info: Attempting to evaluate 100 models.
Evaluating over 20 metamodels: 0%[> ] ETA: N/A[KEvaluating over 20 metamodels: 5%[=> ] ETA: 0:06:35[KEvaluating over 20 metamodels: 10%[==> ] ETA: 0:03:18[KEvaluating over 20 metamodels: 15%[===> ] ETA: 0:02:05[KEvaluating over 20 metamodels: 20%[=====> ] ETA: 0:01:28[KEvaluating over 20 metamodels: 25%[======> ] ETA: 0:01:06[KEvaluating over 20 metamodels: 30%[=======> ] ETA: 0:00:53[KEvaluating over 20 metamodels: 35%[========> ] ETA: 0:00:42[KEvaluating over 20 metamodels: 40%[==========> ] ETA: 0:00:34[KEvaluating over 20 metamodels: 45%[===========> ] ETA: 0:00:28[KEvaluating over 20 metamodels: 50%[============> ] ETA: 0:00:23[KEvaluating over 20 metamodels: 55%[=============> ] ETA: 0:00:19[KEvaluating over 20 metamodels: 60%[===============> ] ETA: 0:00:15[KEvaluating over 20 metamodels: 65%[================> ] ETA: 0:00:12[KEvaluating over 20 metamodels: 70%[=================> ] ETA: 0:00:10[KEvaluating over 20 metamodels: 75%[==================> ] ETA: 0:00:08[KEvaluating over 20 metamodels: 80%[====================> ] ETA: 0:00:06[KEvaluating over 20 metamodels: 85%[=====================> ] ETA: 0:00:04[KEvaluating over 20 metamodels: 90%[======================> ] ETA: 0:00:03[KEvaluating over 20 metamodels: 95%[=======================> ] ETA: 0:00:01[KEvaluating over 20 metamodels: 100%[=========================] Time: 0:00:22[K
Evaluating over 100 metamodels: 0%[> ] ETA: N/A[KEvaluating over 100 metamodels: 1%[> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 2%[> ] ETA: 0:00:06[KEvaluating over 100 metamodels: 3%[> ] ETA: 0:00:04[KEvaluating over 100 metamodels: 4%[=> ] ETA: 0:00:03[KEvaluating over 100 metamodels: 5%[=> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 6%[=> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 7%[=> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 8%[==> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 9%[==> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 10%[==> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 11%[==> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 12%[===> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 13%[===> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 14%[===> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 15%[===> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 16%[====> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 17%[====> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 18%[====> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 19%[====> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 20%[=====> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 21%[=====> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 22%[=====> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 23%[=====> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 24%[======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 25%[======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 26%[======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 27%[======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 28%[=======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 29%[=======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 30%[=======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 31%[=======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 32%[========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 33%[========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 34%[========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 35%[========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 36%[=========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 37%[=========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 38%[=========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 39%[=========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 40%[==========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 41%[==========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 42%[==========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 43%[==========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 44%[===========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 45%[===========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 46%[===========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 47%[===========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 48%[============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 49%[============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 50%[============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 51%[============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 52%[=============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 53%[=============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 54%[=============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 55%[=============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 56%[==============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 57%[==============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 58%[==============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 59%[==============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 60%[===============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 61%[===============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 62%[===============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 63%[===============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 64%[================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 65%[================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 66%[================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 67%[================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 68%[=================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 69%[=================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 70%[=================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 71%[=================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 72%[==================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 73%[==================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 74%[==================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 75%[==================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 76%[===================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 77%[===================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 78%[===================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 79%[===================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 80%[====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 81%[====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 82%[====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 83%[====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 84%[=====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 85%[=====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 86%[=====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 87%[=====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 88%[======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 89%[======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 90%[======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 91%[======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 92%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 93%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 94%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 95%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 96%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 97%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 98%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 99%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 100%[=========================] Time: 0:00:00[K
[ Info: single suggestion
[ Info: Training [34mMachine{ProbabilisticTunedModel{MLJTreeParzenTuning,…}} @380[39m.
[ Info: Attempting to evaluate 100 models.
Evaluating over 20 metamodels: 0%[> ] ETA: N/A[KEvaluating over 20 metamodels: 5%[=> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 10%[==> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 15%[===> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 20%[=====> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 25%[======> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 30%[=======> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 35%[========> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 40%[==========> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 45%[===========> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 50%[============> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 55%[=============> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 60%[===============> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 65%[================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 70%[=================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 75%[==================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 80%[====================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 85%[=====================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 90%[======================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 95%[=======================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 100%[=========================] Time: 0:00:00[K
Evaluating over 100 metamodels: 0%[> ] ETA: N/A[KEvaluating over 100 metamodels: 1%[> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 2%[> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 3%[> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 4%[=> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 5%[=> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 6%[=> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 7%[=> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 8%[==> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 9%[==> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 10%[==> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 11%[==> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 12%[===> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 13%[===> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 14%[===> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 15%[===> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 16%[====> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 17%[====> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 18%[====> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 19%[====> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 20%[=====> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 21%[=====> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 22%[=====> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 23%[=====> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 24%[======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 25%[======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 26%[======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 27%[======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 28%[=======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 29%[=======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 30%[=======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 31%[=======> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 32%[========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 33%[========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 34%[========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 35%[========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 36%[=========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 37%[=========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 38%[=========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 39%[=========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 40%[==========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 41%[==========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 42%[==========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 43%[==========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 44%[===========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 45%[===========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 46%[===========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 47%[===========> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 48%[============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 49%[============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 50%[============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 51%[============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 52%[=============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 53%[=============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 54%[=============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 55%[=============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 56%[==============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 57%[==============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 58%[==============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 59%[==============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 60%[===============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 61%[===============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 62%[===============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 63%[===============> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 64%[================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 65%[================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 66%[================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 67%[================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 68%[=================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 69%[=================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 70%[=================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 71%[=================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 72%[==================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 73%[==================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 74%[==================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 75%[==================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 76%[===================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 77%[===================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 78%[===================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 79%[===================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 80%[====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 81%[====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 82%[====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 83%[====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 84%[=====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 85%[=====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 86%[=====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 87%[=====================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 88%[======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 89%[======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 90%[======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 91%[======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 92%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 93%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 94%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 95%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 96%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 97%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 98%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 99%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 100%[=========================] Time: 0:00:00[K
[ Info: three suggestions
[ Info: Training [34mMachine{ProbabilisticTunedModel{MLJTreeParzenTuning,…}} @431[39m.
[ Info: Attempting to evaluate 100 models.
Evaluating over 20 metamodels: 0%[> ] ETA: N/A[KEvaluating over 20 metamodels: 5%[=> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 10%[==> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 15%[===> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 20%[=====> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 25%[======> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 30%[=======> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 35%[========> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 40%[==========> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 45%[===========> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 50%[============> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 55%[=============> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 60%[===============> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 65%[================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 70%[=================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 75%[==================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 80%[====================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 85%[=====================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 90%[======================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 95%[=======================> ] ETA: 0:00:00[KEvaluating over 20 metamodels: 100%[=========================] Time: 0:00:00[K
Evaluating over 100 metamodels: 0%[> ] ETA: N/A[KEvaluating over 100 metamodels: 1%[> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 2%[> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 3%[> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 4%[=> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 5%[=> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 6%[=> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 7%[=> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 8%[==> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 9%[==> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 10%[==> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 11%[==> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 12%[===> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 13%[===> ] ETA: 0:00:03[KEvaluating over 100 metamodels: 14%[===> ] ETA: 0:00:03[KEvaluating over 100 metamodels: 15%[===> ] ETA: 0:00:03[KEvaluating over 100 metamodels: 16%[====> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 17%[====> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 18%[====> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 19%[====> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 20%[=====> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 21%[=====> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 22%[=====> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 23%[=====> ] ETA: 0:00:02[KEvaluating over 100 metamodels: 24%[======> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 25%[======> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 26%[======> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 27%[======> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 28%[=======> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 29%[=======> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 30%[=======> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 31%[=======> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 32%[========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 33%[========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 34%[========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 35%[========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 36%[=========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 37%[=========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 38%[=========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 39%[=========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 40%[==========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 41%[==========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 42%[==========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 43%[==========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 44%[===========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 45%[===========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 46%[===========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 47%[===========> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 48%[============> ] ETA: 0:00:01[KEvaluating over 100 metamodels: 49%[============> ] ETA: 0:00:01[KEvaluating over 100 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100 metamodels: 92%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 93%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 94%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 95%[=======================> ] ETA: 0:00:00[KEvaluating over 100 metamodels: 96%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 97%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 98%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 99%[========================>] ETA: 0:00:00[KEvaluating over 100 metamodels: 100%[=========================] Time: 0:00:00[K
[ Info: API
[ Info: SpacePrint
1: Dict{Symbol, TreeParzen.HP.PChoice} of 1 items
├args
└1: TreeParzen.HP.PChoice
├choice
├1: TreeParzen.Delayed.Param
│├label
│├1: :probchoice
│├obj
│└1: TreeParzen.Delayed.CategoricalIndex
│ ├probabilities
│ └1: Vector{Float64} of 3 items
│ ├1: 0.1
│ ├2: 0.2
│ └3: 0.7
├options
└1: Vector{Dict{Symbol, V} where V} of 3 items
├1: Dict{Symbol, Any} of 5 items
│├symbol
│├1: :test
│├int
│├2: 1
│├string
│├3: "test"
│├nothing
│├4: nothing
│├float
│└5: 1.0
├2: Dict{Symbol, TreeParzen.HP.Choice} of 1 items
│├dists
│└1: TreeParzen.HP.Choice
│ ├choice
│ ├1: TreeParzen.Delayed.Param
│ │├label
│ │├1: :dists
│ │├obj
│ │└1: TreeParzen.Delayed.RandIndex
│ │ ├upper
│ │ └1: 2
│ ├options
│ └1: Vector{TreeParzen.Delayed.AbstractDelayed} of 2 items
│ ├1: TreeParzen.Delayed.Add
│ │├left
│ │├1: TreeParzen.HP.Uniform
│ ││├label
│ ││├1: :uniform
│ ││├obj
│ ││└1: TreeParzen.Delayed.Uniform
│ ││ ├low
│ ││ ├1: -10.0
│ ││ ├high
│ ││ └1: 10.0
│ │├right
│ │└1: TreeParzen.HP.Normal
│ │ ├label
│ │ ├1: :normal
│ │ ├obj
│ │ └1: TreeParzen.Delayed.Normal
│ │ ├mu
│ │ ├1: -10.0
│ │ ├sigma
│ │ └1: 10.0
│ └2: TreeParzen.Delayed.Float
│ ├arg
│ └1: TreeParzen.HP.LogNormal
│ ├label
│ ├1: :lognormal
│ ├obj
│ └1: TreeParzen.Delayed.LogNormal
│ ├mu
│ ├1: -10.0
│ ├sigma
│ └1: 10.0
└3: Dict{Symbol, Dict{Symbol, T} where T} of 2 items
├dictmiddle
├1: Dict{Symbol, Any} of 3 items
│├tuple
│├1: Tuple{Float64, Float64, Float64} of 3 items
││├1: 0.1
││├2: 0.3
││└3: 0.6
│├vector
│├2: Vector{Int64} of 3 items
││├1: 7
││├2: 8
││└3: 9
│├set
│└3: Set{Int64} of 3 items
│ ├1: 4
│ ├2: 5
│ └3: 6
├dictend
└2: Dict{Symbol, Int64} of 2 items
├a
├1: 1
├b
└2: 4
Test Summary: | Pass Total
Unit Tests | 17115 17115
314.114989 seconds (161.26 M allocations: 16.337 GiB, 2.24% gc time, 49.07% compilation time)
Testing TreeParzen tests passed
PkgEval succeeded
################################################################################
# PkgEval teardown: 2020-10-30T05:02:44.689
CPU usage: 345.87s (331.79s user, 14.92s kernel)
Network usage:
- eth0: 10.316 MiB received, 274.437 KiB sent
Raw statistics: {"blkio_stats":{"io_queue_recursive":[],"io_serviced_recursive":[{"major":259,"value":0,"op":"Read","minor":0},{"major":259,"value":13,"op":"Write","minor":0},{"major":259,"value":0,"op":"Sync","minor":0},{"major":259,"value":13,"op":"Async","minor":0},{"major":259,"value":13,"op":"Total","minor":0},{"major":253,"value":0,"op":"Read","minor":2},{"major":253,"value":13,"op":"Write","minor":2},{"major":253,"value":0,"op":"Sync","minor":2},{"major":253,"value":13,"op":"Async","minor":2},{"major":253,"value":13,"op":"Total","minor":2}],"io_time_recursive":[],"sectors_recursive":[],"io_service_bytes_recursive":[{"major":259,"value":0,"op":"Read","minor":0},{"major":259,"value":86016,"op":"Write","minor":0},{"major":259,"value":0,"op":"Sync","minor":0},{"major":259,"value":86016,"op":"Async","minor":0},{"major":259,"value":86016,"op":"Total","minor":0},{"major":253,"value":0,"op":"Read","minor":2},{"major":253,"value":86016,"op":"Write","minor":2},{"major":253,"value":0,"op":"Sync","minor":2},{"major":253,"value":86016,"op":"Async","minor":2},{"major":253,"value":86016,"op":"Total","minor":2}],"io_wait_time_recursive":[],"io_merged_recursive":[],"io_service_time_recursive":[]},"memory_stats":{"usage":306286592,"max_usage":1502814208,"stats":{"hierarchical_memory_limit":9223372036854771712,"pgmajfault":0,"total_rss":230977536,"inactive_file":8192,"inactive_anon":35811328,"total_pgfault":4916579,"total_cache":65298432,"total_rss_huge":0,"total_active_anon":260456448,"total_pgmajfault":0,"pgpgin":3016846,"rss_huge":0,"mapped_file":0,"total_inactive_file":8192,"dirty":0,"total_unevictable":0,"total_dirty":0,"writeback":0,"pgpgout":2944513,"hierarchical_memsw_limit":0,"cache":65298432,"active_file":0,"pgfault":4916579,"total_mapped_file":0,"total_pgpgout":2944513,"total_writeback":0,"rss":230977536,"unevictable":0,"total_inactive_anon":35811328,"total_pgpgin":3016846,"active_anon":260456448,"total_active_file":0},"limit":540972998656},"name":"/TreeParzen-IIrRaiax","networks":{"eth0":{"rx_bytes":10817067,"rx_packets":3022,"tx_packets":2282,"tx_bytes":281023,"tx_dropped":0,"rx_dropped":14,"tx_errors":0,"rx_errors":0}},"id":"a8c10a91a371085a7268718fc318ace54a988bb02fe18fafb3032cc84ba32e80","preread":"0001-01-01T00:00:00Z","storage_stats":{},"precpu_stats":{"throttling_data":{"throttled_periods":0,"throttled_time":0,"periods":0},"cpu_usage":{"usage_in_usermode":0,"usage_in_kernelmode":0,"total_usage":0}},"pids_stats":{"current":38},"num_procs":0,"cpu_stats":{"throttling_data":{"throttled_periods":0,"throttled_time":0,"periods":0},"system_cpu_usage":113121053820000000,"online_cpus":128,"cpu_usage":{"usage_in_usermode":331790000000,"usage_in_kernelmode":14920000000,"total_usage":345866158029,"percpu_usage":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,115270,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,213540,0,345865829219,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}},"read":"2020-10-30T05:02:45.630447603Z"}