pkgeval/by_date/2020-08/05/logs/MLJTuning/1.6.0-DEV-a6de8b6186.log

Julia Version 1.6.0-DEV.587
Commit a6de8b6186 (2020-08-05 14:09 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, skylake-avx512)
Environment:
  JULIA_DEPOT_PATH = ::/usr/local/share/julia
  JULIA_NUM_THREADS = 2

  Resolving package versions...
[ Info: LEGAL NOTICE: package operations send anonymous data about your system to https://pkg.julialang.org (your current package server), including the operating system and Julia versions you are using, and a random client UUID. Running `Pkg.telemetryinfo()` will show exactly what data is sent. See https://julialang.org/legal/data/ for more details about what this data is used for, how long it is retained, and how to opt out of sending it.
  Installed XML2_jll ───────────────────── v2.9.10+1
  Installed TableTraits ────────────────── v1.0.0
  Installed IteratorInterfaceExtensions ── v1.0.0
  Installed ColorTypes ─────────────────── v0.10.8
  Installed FilePathsBase ──────────────── v0.9.4
  Installed MLJTuning ──────────────────── v0.4.1
  Installed DataStructures ─────────────── v0.17.20
  Installed HTTP ───────────────────────── v0.8.17
  Installed Syslogs ────────────────────── v0.3.0
  Installed Reexport ───────────────────── v0.2.0
  Installed RecipesBase ────────────────── v1.0.2
  Installed ComputationalResources ─────── v0.3.2
  Installed JSON ───────────────────────── v0.21.0
  Installed JLSO ───────────────────────── v2.3.2
  Installed EzXML ──────────────────────── v1.1.0
  Installed CodecZlib ──────────────────── v0.7.0
  Installed OpenSpecFun_jll ────────────── v0.5.3+3
  Installed StatsBase ──────────────────── v0.33.0
  Installed FixedPointNumbers ──────────── v0.8.4
  Installed CategoricalArrays ──────────── v0.8.1
  Installed PrettyTables ───────────────── v0.9.1
  Installed Memento ────────────────────── v1.1.0
  Installed InvertedIndices ────────────── v1.0.0
  Installed IniFile ────────────────────── v0.5.0
  Installed ProgressMeter ──────────────── v1.3.2
  Installed MLJModelInterface ──────────── v0.3.2
  Installed MbedTLS ────────────────────── v1.0.2
  Installed Distributions ──────────────── v0.23.8
  Installed SpecialFunctions ───────────── v0.10.3
  Installed DataAPI ────────────────────── v1.3.0
  Installed FillArrays ─────────────────── v0.8.13
  Installed Crayons ────────────────────── v4.0.3
  Installed Libiconv_jll ───────────────── v1.16.0+5
  Installed UnPack ─────────────────────── v1.0.1
  Installed MLJScientificTypes ─────────── v0.2.8
  Installed LearnBase ──────────────────── v0.4.1
  Installed Missings ───────────────────── v0.4.3
  Installed Mocking ────────────────────── v0.7.1
  Installed Parsers ────────────────────── v1.0.7
  Installed OrderedCollections ─────────── v1.3.0
  Installed MLJBase ────────────────────── v0.14.6
  Installed Rmath ──────────────────────── v0.6.1
  Installed TranscodingStreams ─────────── v0.9.5
  Installed TimeZones ──────────────────── v1.3.1
  Installed PDMats ─────────────────────── v0.10.0
  Installed ScientificTypes ────────────── v0.8.0
  Installed CompilerSupportLibraries_jll ─ v0.3.3+0
  Installed StatsFuns ──────────────────── v0.9.5
  Installed LossFunctions ──────────────── v0.6.2
  Installed ExprTools ──────────────────── v0.1.1
  Installed DataValueInterfaces ────────── v1.0.0
  Installed Zlib_jll ───────────────────── v1.2.11+15
  Installed SortingAlgorithms ──────────── v0.3.1
  Installed Tables ─────────────────────── v1.0.5
  Installed QuadGK ─────────────────────── v2.4.0
  Installed Formatting ─────────────────── v0.4.1
  Installed Rmath_jll ──────────────────── v0.2.2+1
  Installed Parameters ─────────────────── v0.12.1
  Installed MbedTLS_jll ────────────────── v2.16.6+1
  Installed BSON ───────────────────────── v0.2.6
Updating `~/.julia/environments/v1.6/Project.toml`
  [03970b2e] + MLJTuning v0.4.1
Updating `~/.julia/environments/v1.6/Manifest.toml`
  [fbb218c0] + BSON v0.2.6
  [324d7699] + CategoricalArrays v0.8.1
  [944b1d66] + CodecZlib v0.7.0
  [3da002f7] + ColorTypes v0.10.8
  [e66e0078] + CompilerSupportLibraries_jll v0.3.3+0
  [ed09eef8] + ComputationalResources v0.3.2
  [a8cc5b0e] + Crayons v4.0.3
  [9a962f9c] + DataAPI v1.3.0
  [864edb3b] + DataStructures v0.17.20
  [e2d170a0] + DataValueInterfaces v1.0.0
  [31c24e10] + Distributions v0.23.8
  [e2ba6199] + ExprTools v0.1.1
  [8f5d6c58] + EzXML v1.1.0
  [48062228] + FilePathsBase v0.9.4
  [1a297f60] + FillArrays v0.8.13
  [53c48c17] + FixedPointNumbers v0.8.4
  [59287772] + Formatting v0.4.1
  [cd3eb016] + HTTP v0.8.17
  [83e8ac13] + IniFile v0.5.0
  [41ab1584] + InvertedIndices v1.0.0
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [9da8a3cd] + JLSO v2.3.2
  [682c06a0] + JSON v0.21.0
  [7f8f8fb0] + LearnBase v0.4.1
  [94ce4f54] + Libiconv_jll v1.16.0+5
  [30fc2ffe] + LossFunctions v0.6.2
  [a7f614a8] + MLJBase v0.14.6
  [e80e1ace] + MLJModelInterface v0.3.2
  [2e2323e0] + MLJScientificTypes v0.2.8
  [03970b2e] + MLJTuning v0.4.1
  [739be429] + MbedTLS v1.0.2
  [c8ffd9c3] + MbedTLS_jll v2.16.6+1
  [f28f55f0] + Memento v1.1.0
  [e1d29d7a] + Missings v0.4.3
  [78c3b35d] + Mocking v0.7.1
  [efe28fd5] + OpenSpecFun_jll v0.5.3+3
  [bac558e1] + OrderedCollections v1.3.0
  [90014a1f] + PDMats v0.10.0
  [d96e819e] + Parameters v0.12.1
  [69de0a69] + Parsers v1.0.7
  [08abe8d2] + PrettyTables v0.9.1
  [92933f4c] + ProgressMeter v1.3.2
  [1fd47b50] + QuadGK v2.4.0
  [3cdcf5f2] + RecipesBase v1.0.2
  [189a3867] + Reexport v0.2.0
  [79098fc4] + Rmath v0.6.1
  [f50d1b31] + Rmath_jll v0.2.2+1
  [321657f4] + ScientificTypes v0.8.0
  [a2af1166] + SortingAlgorithms v0.3.1
  [276daf66] + SpecialFunctions v0.10.3
  [2913bbd2] + StatsBase v0.33.0
  [4c63d2b9] + StatsFuns v0.9.5
  [cea106d9] + Syslogs v0.3.0
  [3783bdb8] + TableTraits v1.0.0
  [bd369af6] + Tables v1.0.5
  [f269a46b] + TimeZones v1.3.1
  [3bb67fe8] + TranscodingStreams v0.9.5
  [3a884ed6] + UnPack v1.0.1
  [02c8fc9c] + XML2_jll v2.9.10+1
  [83775a58] + Zlib_jll v1.2.11+15
  [2a0f44e3] + Base64
  [ade2ca70] + Dates
  [8bb1440f] + DelimitedFiles
  [8ba89e20] + Distributed
  [9fa8497b] + Future
  [b77e0a4c] + InteractiveUtils
  [76f85450] + LibGit2
  [8f399da3] + Libdl
  [37e2e46d] + LinearAlgebra
  [56ddb016] + Logging
  [d6f4376e] + Markdown
  [a63ad114] + Mmap
  [44cfe95a] + Pkg
  [de0858da] + Printf
  [3fa0cd96] + REPL
  [9a3f8284] + Random
  [ea8e919c] + SHA
  [9e88b42a] + Serialization
  [6462fe0b] + Sockets
  [2f01184e] + SparseArrays
  [10745b16] + Statistics
  [4607b0f0] + SuiteSparse
  [8dfed614] + Test
  [cf7118a7] + UUIDs
  [4ec0a83e] + Unicode
   Building TimeZones → `~/.julia/packages/TimeZones/cAGJs/deps/build.log`
    Testing MLJTuning
Status `/tmp/jl_KulpNQ/Project.toml`
  [324d7699] CategoricalArrays v0.8.1
  [ed09eef8] ComputationalResources v0.3.2
  [7806a523] DecisionTree v0.10.7
  [b4f34e82] Distances v0.9.0
  [31c24e10] Distributions v0.23.8
  [a7f614a8] MLJBase v0.14.6
  [e80e1ace] MLJModelInterface v0.3.2
  [03970b2e] MLJTuning v0.4.1
  [6f286f6a] MultivariateStats v0.7.0
  [b8a86587] NearestNeighbors v0.4.6
  [92933f4c] ProgressMeter v1.3.2
  [3cdcf5f2] RecipesBase v1.0.2
  [321657f4] ScientificTypes v0.8.0
  [860ef19b] StableRNGs v0.1.1
  [2913bbd2] StatsBase v0.33.0
  [bd369af6] Tables v1.0.5
  [8ba89e20] Distributed
  [37e2e46d] LinearAlgebra
  [9a3f8284] Random
  [10745b16] Statistics
  [8dfed614] Test
Status `/tmp/jl_KulpNQ/Manifest.toml`
  [7d9fca2a] Arpack v0.4.0
  [68821587] Arpack_jll v3.5.0+3
  [fbb218c0] BSON v0.2.6
  [324d7699] CategoricalArrays v0.8.1
  [944b1d66] CodecZlib v0.7.0
  [3da002f7] ColorTypes v0.10.8
  [e66e0078] CompilerSupportLibraries_jll v0.3.3+0
  [ed09eef8] ComputationalResources v0.3.2
  [a8cc5b0e] Crayons v4.0.3
  [9a962f9c] DataAPI v1.3.0
  [864edb3b] DataStructures v0.17.20
  [e2d170a0] DataValueInterfaces v1.0.0
  [7806a523] DecisionTree v0.10.7
  [b4f34e82] Distances v0.9.0
  [31c24e10] Distributions v0.23.8
  [e2ba6199] ExprTools v0.1.1
  [8f5d6c58] EzXML v1.1.0
  [48062228] FilePathsBase v0.9.4
  [1a297f60] FillArrays v0.8.13
  [53c48c17] FixedPointNumbers v0.8.4
  [59287772] Formatting v0.4.1
  [cd3eb016] HTTP v0.8.17
  [83e8ac13] IniFile v0.5.0
  [41ab1584] InvertedIndices v1.0.0
  [82899510] IteratorInterfaceExtensions v1.0.0
  [9da8a3cd] JLSO v2.3.2
  [682c06a0] JSON v0.21.0
  [7f8f8fb0] LearnBase v0.4.1
  [94ce4f54] Libiconv_jll v1.16.0+5
  [30fc2ffe] LossFunctions v0.6.2
  [a7f614a8] MLJBase v0.14.6
  [e80e1ace] MLJModelInterface v0.3.2
  [2e2323e0] MLJScientificTypes v0.2.8
  [03970b2e] MLJTuning v0.4.1
  [739be429] MbedTLS v1.0.2
  [c8ffd9c3] MbedTLS_jll v2.16.6+1
  [f28f55f0] Memento v1.1.0
  [e1d29d7a] Missings v0.4.3
  [78c3b35d] Mocking v0.7.1
  [6f286f6a] MultivariateStats v0.7.0
  [b8a86587] NearestNeighbors v0.4.6
  [4536629a] OpenBLAS_jll v0.3.9+5
  [efe28fd5] OpenSpecFun_jll v0.5.3+3
  [bac558e1] OrderedCollections v1.3.0
  [90014a1f] PDMats v0.10.0
  [d96e819e] Parameters v0.12.1
  [69de0a69] Parsers v1.0.7
  [08abe8d2] PrettyTables v0.9.1
  [92933f4c] ProgressMeter v1.3.2
  [1fd47b50] QuadGK v2.4.0
  [3cdcf5f2] RecipesBase v1.0.2
  [189a3867] Reexport v0.2.0
  [79098fc4] Rmath v0.6.1
  [f50d1b31] Rmath_jll v0.2.2+1
  [321657f4] ScientificTypes v0.8.0
  [6e75b9c4] ScikitLearnBase v0.5.0
  [a2af1166] SortingAlgorithms v0.3.1
  [276daf66] SpecialFunctions v0.10.3
  [860ef19b] StableRNGs v0.1.1
  [90137ffa] StaticArrays v0.12.4
  [2913bbd2] StatsBase v0.33.0
  [4c63d2b9] StatsFuns v0.9.5
  [cea106d9] Syslogs v0.3.0
  [3783bdb8] TableTraits v1.0.0
  [bd369af6] Tables v1.0.5
  [f269a46b] TimeZones v1.3.1
  [3bb67fe8] TranscodingStreams v0.9.5
  [3a884ed6] UnPack v1.0.1
  [02c8fc9c] XML2_jll v2.9.10+1
  [83775a58] Zlib_jll v1.2.11+15
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8bb1440f] DelimitedFiles
  [8ba89e20] Distributed
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [44cfe95a] Pkg
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA
  [9e88b42a] Serialization
  [6462fe0b] Sockets
  [2f01184e] SparseArrays
  [10745b16] Statistics
  [4607b0f0] SuiteSparse
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
┌ Warning: Assignment to `#s30` in soft scope is ambiguous because a global variable by the same name exists: `#s30` will be treated as a new local. Disambiguate by using `local #s30` to suppress this warning or `global #s30` to assign to the existing global variable.
└ @ ~/.julia/packages/MLJTuning/TShXP/src/strategies/explicit.jl:3
[ Info: nworkers: 2
[ Info: nthreads: 2
Loading some models for testing...                                           WARNING: replacing module Models.
Test Summary: | Pass  Total
utilities     |    2      2

 Testing progressmeter basic fit with CPU1{Nothing}(nothing) and CPU1 resampling 
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:00:57[KEvaluating over 12 metamodels:  17%[====>                    ]  ETA: 0:00:28[KEvaluating over 12 metamodels:  25%[======>                  ]  ETA: 0:00:17[KEvaluating over 12 metamodels:  33%[========>                ]  ETA: 0:00:11[KEvaluating over 12 metamodels:  42%[==========>              ]  ETA: 0:00:08[KEvaluating over 12 metamodels:  50%[============>            ]  ETA: 0:00:06[KEvaluating over 12 metamodels:  58%[==============>          ]  ETA: 0:00:04[KEvaluating over 12 metamodels:  67%[================>        ]  ETA: 0:00:03[KEvaluating over 12 metamodels:  75%[==================>      ]  ETA: 0:00:02[KEvaluating over 12 metamodels:  83%[====================>    ]  ETA: 0:00:01[KEvaluating over 12 metamodels:  92%[======================>  ]  ETA: 0:00:01[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:05[K

 Testing progressmeter basic fit with CPUProcesses{Nothing}(nothing) and CPU1 resampling 
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:07:11[KEvaluating over 12 metamodels:  17%[====>                    ]  ETA: 0:03:18[KEvaluating over 12 metamodels:  25%[======>                  ]  ETA: 0:01:59[KEvaluating over 12 metamodels:  33%[========>                ]  ETA: 0:01:20[KEvaluating over 12 metamodels:  42%[==========>              ]  ETA: 0:00:57[KEvaluating over 12 metamodels:  58%[==============>          ]  ETA: 0:00:29[KEvaluating over 12 metamodels:  67%[================>        ]  ETA: 0:00:20[KEvaluating over 12 metamodels:  75%[==================>      ]  ETA: 0:00:14[KEvaluating over 12 metamodels:  83%[====================>    ]  ETA: 0:00:08[KEvaluating over 12 metamodels:  92%[======================>  ]  ETA: 0:00:04[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:41[K

 Testing progressmeter basic fit with CPUThreads{Nothing}(nothing) and CPU1 resampling 
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:00:04[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:00[K

 Testing progressmeter basic fit with CPU1{Nothing}(nothing) and CPUThreads resampling 
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  42%[==========>              ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  58%[==============>          ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  75%[==================>      ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  92%[======================>  ]  ETA: 0:00:00[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:00[K

 Testing progressmeter basic fit with CPUProcesses{Nothing}(nothing) and CPUThreads resampling 
┌ Info: The combination acceleration=CPUThreads{Nothing}(nothing) and acceleration_resampling=CPUProcesses{Nothing}(nothing) isn't supported. 
└  Resetting to `acceleration = CPUProcesses()` and `acceleration_resampling = CPUThreads()`.
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:00:59[KEvaluating over 12 metamodels:  17%[====>                    ]  ETA: 0:00:27[KEvaluating over 12 metamodels:  42%[==========>              ]  ETA: 0:00:08[KEvaluating over 12 metamodels:  50%[============>            ]  ETA: 0:00:05[KEvaluating over 12 metamodels:  58%[==============>          ]  ETA: 0:00:04[KEvaluating over 12 metamodels:  67%[================>        ]  ETA: 0:00:03[KEvaluating over 12 metamodels:  83%[====================>    ]  ETA: 0:00:01[KEvaluating over 12 metamodels:  92%[======================>  ]  ETA: 0:00:01[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:05[K

 Testing progressmeter basic fit with CPUThreads{Nothing}(nothing) and CPUThreads resampling 
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:00:52[KEvaluating over 12 metamodels:  33%[========>                ]  ETA: 0:00:09[KEvaluating over 12 metamodels:  67%[================>        ]  ETA: 0:00:02[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:04[K

 Testing progressmeter basic fit with CPU1{Nothing}(nothing) and CPUProcesses resampling 
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  17%[====>                    ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  25%[======>                  ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  33%[========>                ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  42%[==========>              ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  50%[============>            ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  58%[==============>          ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  67%[================>        ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  75%[==================>      ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  83%[====================>    ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  92%[======================>  ]  ETA: 0:00:00[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:00[K

 Testing progressmeter basic fit with CPUProcesses{Nothing}(nothing) and CPUProcesses resampling 
[ Info: The combination acceleration=CPUProcesses{Nothing}(nothing) and acceleration_resampling=CPUProcesses{Nothing}(nothing) is  not generally optimal. You may want to consider setting `acceleration = CPUProcesses()` and `acceleration_resampling = CPUThreads()`.
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:01:08[KEvaluating over 12 metamodels:  17%[====>                    ]  ETA: 0:00:32[KEvaluating over 12 metamodels:  25%[======>                  ]  ETA: 0:00:19[KEvaluating over 12 metamodels:  33%[========>                ]  ETA: 0:00:13[KEvaluating over 12 metamodels:  42%[==========>              ]  ETA: 0:00:09[KEvaluating over 12 metamodels:  50%[============>            ]  ETA: 0:00:06[KEvaluating over 12 metamodels:  58%[==============>          ]  ETA: 0:00:05[KEvaluating over 12 metamodels:  67%[================>        ]  ETA: 0:00:03[KEvaluating over 12 metamodels:  75%[==================>      ]  ETA: 0:00:02[KEvaluating over 12 metamodels:  83%[====================>    ]  ETA: 0:00:01[KEvaluating over 12 metamodels:  92%[======================>  ]  ETA: 0:00:01[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:06[K

 Testing progressmeter basic fit with CPUThreads{Nothing}(nothing) and CPUProcesses resampling 
[ Info: Attempting to evaluate 12 models.
Evaluating over 12 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 12 metamodels:   8%[==>                      ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  17%[====>                    ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  25%[======>                  ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  33%[========>                ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  42%[==========>              ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  50%[============>            ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  58%[==============>          ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  67%[================>        ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  75%[==================>      ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  83%[====================>    ]  ETA: 0:00:00[KEvaluating over 12 metamodels:  92%[======================>  ]  ETA: 0:00:00[KEvaluating over 12 metamodels: 100%[=========================] Time: 0:00:00[K
[ Info: Training [34mMachine{DeterministicTunedModel{Explicit,…}} @914[39m.
[ Info: Attempting to evaluate 4 models.
Evaluating over 4 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 4 metamodels:  25%[======>                  ]  ETA: 0:00:00[KEvaluating over 4 metamodels:  50%[============>            ]  ETA: 0:00:00[KEvaluating over 4 metamodels:  75%[==================>      ]  ETA: 0:00:00[KEvaluating over 4 metamodels: 100%[=========================] Time: 0:00:00[K
[ Info: Training [34mMachine{DeterministicTunedModel{Explicit,…}} @203[39m.
[ Info: Attempting to evaluate 4 models.
Evaluating over 4 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 4 metamodels:  25%[======>                  ]  ETA: 0:00:00[KEvaluating over 4 metamodels:  75%[==================>      ]  ETA: 0:00:00[KEvaluating over 4 metamodels: 100%[=========================] Time: 0:00:00[K
[ Info: Training [34mMachine{DeterministicTunedModel{Explicit,…}} @564[39m.
[ Info: Attempting to evaluate 4 models.
Evaluating over 4 metamodels:   0%[>                        ]  ETA: N/A[KEvaluating over 4 metamodels:  25%[======>                  ]  ETA: 0:00:00[KEvaluating over 4 metamodels: 100%[=========================] Time: 0:00:00[K
Test Summary:   | Pass  Total
tuned_models.jl |   63     63
Test Summary: | Pass  Total
range_methods |   33     33
julia: /buildworker/worker/package_linux64/build/src/codegen.cpp:6738: std::pair<std::unique_ptr<llvm::Module>, _jl_llvm_functions_t> emit_function(jl_method_instance_t*, jl_code_info_t*, jl_value_t*, jl_codegen_params_t&): Assertion `find(pred_begin(PhiBB), pred_end(PhiBB), FromBB) != pred_end(PhiBB)' failed.

signal (6): Aborted
in expression starting at /home/pkgeval/.julia/packages/MLJTuning/TShXP/test/strategies/grid.jl:129
gsignal at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
abort at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x7f80d4081399)
__assert_fail at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
emit_function at /buildworker/worker/package_linux64/build/src/codegen.cpp:6738
jl_emit_code at /buildworker/worker/package_linux64/build/src/codegen.cpp:7015
jl_emit_codeinst at /buildworker/worker/package_linux64/build/src/codegen.cpp:7049
_jl_compile_codeinst at /buildworker/worker/package_linux64/build/src/jitlayers.cpp:94
jl_generate_fptr at /buildworker/worker/package_linux64/build/src/jitlayers.cpp:305
jl_compile_method_internal at /buildworker/worker/package_linux64/build/src/gf.c:1890
jl_compile_method_internal at /buildworker/worker/package_linux64/build/src/gf.c:1841 [inlined]
_jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2145 [inlined]
jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:2159
transform at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/operations.jl:89 [inlined]
fit at /home/pkgeval/.julia/packages/MLJTuning/TShXP/test/models/simple_composite_model.jl:42
unknown function (ip: 0x7f807dafc5b4)
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1750 [inlined]
do_apply at /buildworker/worker/package_linux64/build/src/builtins.c:655
#fit_only!#77 at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:416
fit_only!##kw at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:384 [inlined]
#fit!#80 at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:461 [inlined]
fit!##kw at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:459 [inlined]
get_measurements at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/resampling.jl:770
#248 at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/resampling.jl:644 [inlined]
mapreduce_first at ./reduce.jl:392 [inlined]
_mapreduce at ./reduce.jl:403
_mapreduce_dim at ./reducedim.jl:318 [inlined]
#mapreduce#631 at ./reducedim.jl:310 [inlined]
mapreduce at ./reducedim.jl:310 [inlined]
_evaluate! at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/resampling.jl:643
unknown function (ip: 0x7f807dafa727)
evaluate! at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/resampling.jl:796
unknown function (ip: 0x7f807daf56e1)
evaluate! at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/resampling.jl:859
unknown function (ip: 0x7f807daf1e8d)
fit at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/resampling.jl:959
unknown function (ip: 0x7f807daef1e4)
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1750 [inlined]
do_apply at /buildworker/worker/package_linux64/build/src/builtins.c:655
#fit_only!#77 at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:416
fit_only!##kw at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:384 [inlined]
#fit!#80 at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:461 [inlined]
fit!##kw at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:459
unknown function (ip: 0x7f807daee315)
event at /home/pkgeval/.julia/packages/MLJTuning/TShXP/src/tuned_models.jl:257
#6 at /home/pkgeval/.julia/packages/MLJTuning/TShXP/src/tuned_models.jl:291 [inlined]
iterate at ./generator.jl:47 [inlined]
_collect at ./array.jl:699
collect_similar at ./array.jl:628 [inlined]
map at ./abstractarray.jl:2225 [inlined]
assemble_events at /home/pkgeval/.julia/packages/MLJTuning/TShXP/src/tuned_models.jl:290
unknown function (ip: 0x7f807daeb4d8)
build at /home/pkgeval/.julia/packages/MLJTuning/TShXP/src/tuned_models.jl:454
unknown function (ip: 0x7f807daea57f)
fit at /home/pkgeval/.julia/packages/MLJTuning/TShXP/src/tuned_models.jl:491
unknown function (ip: 0x7f807dadc2c4)
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1750 [inlined]
do_apply at /buildworker/worker/package_linux64/build/src/builtins.c:655
#fit_only!#77 at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:416
fit_only!##kw at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:384 [inlined]
#fit!#80 at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:461 [inlined]
fit!##kw at /home/pkgeval/.julia/packages/MLJBase/2yoMe/src/machines.jl:459
unknown function (ip: 0x7f807dadb0d5)
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1750 [inlined]
do_call at /buildworker/worker/package_linux64/build/src/interpreter.c:117
eval_value at /buildworker/worker/package_linux64/build/src/interpreter.c:206
eval_stmt_value at /buildworker/worker/package_linux64/build/src/interpreter.c:157 [inlined]
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:551
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:491
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:491
jl_interpret_toplevel_thunk at /buildworker/worker/package_linux64/build/src/interpreter.c:659
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:838
jl_eval_module_expr at /buildworker/worker/package_linux64/build/src/toplevel.c:197
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:664
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:788
jl_toplevel_eval_in at /buildworker/worker/package_linux64/build/src/toplevel.c:881
eval at ./boot.jl:344 [inlined]
include_string at ./loading.jl:1103
_include at ./loading.jl:1157
include at ./client.jl:443
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1750 [inlined]
do_call at /buildworker/worker/package_linux64/build/src/interpreter.c:117
eval_value at /buildworker/worker/package_linux64/build/src/interpreter.c:206
eval_stmt_value at /buildworker/worker/package_linux64/build/src/interpreter.c:157 [inlined]
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:551
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:491
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:491
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:491
jl_interpret_toplevel_thunk at /buildworker/worker/package_linux64/build/src/interpreter.c:659
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:838
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:788
jl_toplevel_eval_in at /buildworker/worker/package_linux64/build/src/toplevel.c:881
eval at ./boot.jl:344 [inlined]
include_string at ./loading.jl:1103
_include at ./loading.jl:1157
include at ./client.jl:443
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1750 [inlined]
do_call at /buildworker/worker/package_linux64/build/src/interpreter.c:117
eval_value at /buildworker/worker/package_linux64/build/src/interpreter.c:206
eval_stmt_value at /buildworker/worker/package_linux64/build/src/interpreter.c:157 [inlined]
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:551
jl_interpret_toplevel_thunk at /buildworker/worker/package_linux64/build/src/interpreter.c:659
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:838
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:788
jl_toplevel_eval_in at /buildworker/worker/package_linux64/build/src/toplevel.c:881
eval at ./boot.jl:344
exec_options at ./client.jl:260
_start at ./client.jl:484
jfptr__start_31296.clone_1 at /opt/julia/lib/julia/sys.so (unknown line)
jl_apply at /buildworker/worker/package_linux64/build/ui/../src/julia.h:1750 [inlined]
true_main at /buildworker/worker/package_linux64/build/ui/repl.c:106
main at /buildworker/worker/package_linux64/build/ui/repl.c:227
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
_start at /opt/julia/bin/julia (unknown line)
Allocations: 133844457 (Pool: 133819523; Big: 24934); GC: 179
ERROR: Package MLJTuning errored during testing (received signal: 6)
Stacktrace:
  [1] pkgerror(::String, ::Vararg{String,N} where N)
    @ Pkg.Types /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/Types.jl:52
  [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing)
    @ Pkg.Operations /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/Operations.jl:1567
  [3] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}})
    @ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:328
  [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec})
    @ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:315
  [5] #test#62
    @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:67 [inlined]
  [6] test
    @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:67 [inlined]
  [7] #test#61
    @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66 [inlined]
  [8] test
    @ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66 [inlined]
  [9] test(pkg::String; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}})
    @ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:65
 [10] test(pkg::String)
    @ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:65
 [11] top-level scope
    @ none:16