gistfile1.txt

(@JuliaPro_v1.5.0-1) pkg> test Pumas
    Testing Pumas
Status `C:\Users\patri\AppData\Local\Temp\jl_REwB9j\Project.toml`
  [0bf59076] AdvancedHMC v0.2.25
  [336ed68f] CSV v0.7.7
  [a93c6f00] DataFrames v0.21.6
  [82cc6244] DataInterpolations v3.1.3
  [864edb3b] DataStructures v0.17.20
  [bcd4f6db] DelayDiffEq v5.24.1
  [2b5f629d] DiffEqBase v6.43.1
  [f3b72e0c] DiffEqDevTools v2.26.0
  [c894b116] DiffEqJump v6.9.5
  [41bf760c] DiffEqSensitivity v6.31.0
  [163ba53b] DiffResults v1.0.2
  [31c24e10] Distributions v0.23.2
  [d4d017d3] ExponentialUtilities v1.8.0
  [6a86dc24] FiniteDiff v2.5.2
  [f6369f11] ForwardDiff v0.10.12
  [2ee39098] LabelledArrays v1.3.0
  [c7f686f2] MCMCChains v4.0.2
  [1914dd2f] MacroTools v0.5.5
  [eff96d63] Measurements v2.2.1
  [e1d29d7a] Missings v0.4.3
  [961ee093] ModelingToolkit v3.16.0
  [429524aa] Optim v0.20.1
  [1dea7af3] OrdinaryDiffEq v5.42.3
  [90014a1f] PDMats v0.9.12
  [d96e819e] Parameters v0.12.1
  [4f2c3c20] Pumas v1.0.3
  [67601950] Quadrature v1.1.0
  [c6596682] QuantileRegressions v0.1.3
  [1a8c2f83] Query v1.0.0
  [3cdcf5f2] RecipesBase v0.8.0
  [731186ca] RecursiveArrayTools v2.6.0
  [189a3867] Reexport v0.2.0
  [f2b01f46] Roots v1.0.5
  [1bc83da4] SafeTestsets v0.0.1
  [860ef19b] StableRNGs v0.1.1
  [90137ffa] StaticArrays v0.12.4
  [2913bbd2] StatsBase v0.32.2
  [4c63d2b9] StatsFuns v0.9.5
  [789caeaf] StochasticDiffEq v6.25.0
  [88034a9c] StringDistances v0.6.5
  [09ab397b] StructArrays v0.4.4
  [c3572dad] Sundials v4.2.5
  [bd369af6] Tables v1.0.5
  [84d833dd] TransformVariables v0.3.4
  [a2a6695c] TreeViews v0.3.0
  [1986cc42] Unitful v1.4.0
  [ade2ca70] Dates
  [8ba89e20] Distributed
  [37e2e46d] LinearAlgebra
  [d6f4376e] Markdown
  [44cfe95a] Pkg
  [de0858da] Printf
  [9a3f8284] Random
  [10745b16] Statistics
  [8dfed614] Test
Status `C:\Users\patri\AppData\Local\Temp\jl_REwB9j\Manifest.toml`
  [c3fe647b] AbstractAlgebra v0.10.0
  [621f4979] AbstractFFTs v0.5.0
  [80f14c24] AbstractMCMC v2.0.0
  [1520ce14] AbstractTrees v0.3.3
  [79e6a3ab] Adapt v1.1.0
  [0bf59076] AdvancedHMC v0.2.25
  [dce04be8] ArgCheck v2.1.0
  [ec485272] ArnoldiMethod v0.0.4
  [7d9fca2a] Arpack v0.4.0
  [68821587] Arpack_jll v3.5.0+3
  [4fba245c] ArrayInterface v2.11.0
  [4c555306] ArrayLayouts v0.2.6
  [39de3d68] AxisArrays v0.4.3
  [198e06fe] BangBang v0.3.29
  [b99e7846] BinaryProvider v0.5.91
  [fa961155] CEnum v0.2.0
  [336ed68f] CSV v0.7.7
  [49dc2e85] Calculus v0.5.1
  [a603d957] CanonicalTraits v0.2.2
  [324d7699] CategoricalArrays v0.8.1
  [d360d2e6] ChainRulesCore v0.9.5
  [861a8166] Combinatorics v1.0.2
  [38540f10] CommonSolve v0.2.0
  [bbf7d656] CommonSubexpressions v0.3.0
  [34da2185] Compat v2.2.1
  [e66e0078] CompilerSupportLibraries_jll v0.3.3+0
  [a33af91c] CompositionsBase v0.1.0
  [88cd18e8] ConsoleProgressMonitor v0.1.2
  [187b0558] ConstructionBase v1.0.0
  [adafc99b] CpuId v0.2.2
  [a8cc5b0e] Crayons v4.0.3
  [9a962f9c] DataAPI v1.3.0
  [a93c6f00] DataFrames v0.21.6
  [82cc6244] DataInterpolations v3.1.3
  [864edb3b] DataStructures v0.17.20
  [e2d170a0] DataValueInterfaces v1.0.0
  [e7dc6d0d] DataValues v0.4.13
  [244e2a9f] DefineSingletons v0.1.0
  [bcd4f6db] DelayDiffEq v5.24.1
  [2b5f629d] DiffEqBase v6.43.1
  [459566f4] DiffEqCallbacks v2.13.5
  [f3b72e0c] DiffEqDevTools v2.26.0
  [c894b116] DiffEqJump v6.9.5
  [77a26b50] DiffEqNoiseProcess v5.1.2
  [41bf760c] DiffEqSensitivity v6.31.0
  [163ba53b] DiffResults v1.0.2
  [b552c78f] DiffRules v1.0.1
  [b4f34e82] Distances v0.8.2
  [31c24e10] Distributions v0.23.2
  [ffbed154] DocStringExtensions v0.8.2
  [da5c29d0] EllipsisNotation v0.4.0
  [d4d017d3] ExponentialUtilities v1.8.0
  [7a1cc6ca] FFTW v1.2.2
  [f5851436] FFTW_jll v3.3.9+5
  [9aa1b823] FastClosures v0.3.2
  [1a297f60] FillArrays v0.8.14
  [6a86dc24] FiniteDiff v2.5.2
  [59287772] Formatting v0.4.1
  [f6369f11] ForwardDiff v0.10.12
  [069b7b12] FunctionWrappers v1.1.1
  [6b9d7cbe] GeneralizedGenerated v0.2.5
  [01680d73] GenericSVD v0.3.0
  [19dc6840] HCubature v1.4.0
  [7869d1d1] IRTools v0.3.3
  [d25df0c9] Inflate v0.1.2
  [22cec73e] InitialValues v0.2.9
  [505f98c9] InplaceOps v0.3.0
  [1d5cc7b8] IntelOpenMP_jll v2018.0.3+0
  [8197267c] IntervalSets v0.5.1
  [41ab1584] InvertedIndices v1.0.0
  [c8e1da08] IterTools v1.3.0
  [1c8ee90f] IterableTables v1.0.0
  [42fd0dbc] IterativeSolvers v0.8.4
  [82899510] IteratorInterfaceExtensions v1.0.0
  [682c06a0] JSON v0.21.0
  [b14d175d] JuliaVariables v0.2.3
  [b964fa9f] LaTeXStrings v1.1.0
  [2ee39098] LabelledArrays v1.3.0
  [23fbe1c1] Latexify v0.13.5 `https://github.com/korsbo/Latexify.jl#master`
  [a5e1c1ea] LatinHypercubeSampling v1.6.4
  [1d6d02ad] LeftChildRightSiblingTrees v0.1.2
  [093fc24a] LightGraphs v1.3.3
  [d3d80556] LineSearches v7.0.1
  [e6f89c97] LoggingExtras v0.4.2
  [bdcacae8] LoopVectorization v0.8.24
  [c7f686f2] MCMCChains v4.0.2
  [d00139f3] METIS_jll v5.1.0+4
  [856f044c] MKL_jll v2020.2.254+0
  [d8e11817] MLStyle v0.4.6
  [1914dd2f] MacroTools v0.5.5
  [eff96d63] Measurements v2.2.1
  [e1d29d7a] Missings v0.4.3
  [961ee093] ModelingToolkit v3.16.0
  [4886b29c] MonteCarloIntegration v0.0.1
  [46d2c3a1] MuladdMacro v0.2.2
  [d41bc354] NLSolversBase v7.7.0
  [2774e3e8] NLsolve v4.4.1
  [872c559c] NNlib v0.6.6
  [77ba4419] NaNMath v0.3.4
  [71a1bf82] NameResolution v0.1.4
  [c020b1a1] NaturalSort v1.0.0
  [6fe1bfb0] OffsetArrays v1.1.2
  [4536629a] OpenBLAS_jll v0.3.9+5
  [efe28fd5] OpenSpecFun_jll v0.5.3+3
  [429524aa] Optim v0.20.1
  [bac558e1] OrderedCollections v1.3.0
  [1dea7af3] OrdinaryDiffEq v5.42.3
  [90014a1f] PDMats v0.9.12
  [d96e819e] Parameters v0.12.1
  [69de0a69] Parsers v1.0.10
  [e409e4f3] PoissonRandom v0.4.0
  [2dfb63ee] PooledArrays v0.5.3
  [85a6dd25] PositiveFactorizations v0.2.3
  [8162dcfd] PrettyPrint v0.2.0
  [08abe8d2] PrettyTables v0.9.1
  [33c8b6b6] ProgressLogging v0.1.3
  [92933f4c] ProgressMeter v1.3.2
  [4f2c3c20] Pumas v1.0.3
  [1fd47b50] QuadGK v2.4.0
  [67601950] Quadrature v1.1.0
  [c6596682] QuantileRegressions v0.1.3
  [8a4e6c94] QuasiMonteCarlo v0.2.0
  [1a8c2f83] Query v1.0.0
  [2aef5ad7] QueryOperators v0.9.2
  [e6cf234a] RandomNumbers v1.4.0
  [b3c3ace0] RangeArrays v0.3.2
  [3cdcf5f2] RecipesBase v0.8.0
  [731186ca] RecursiveArrayTools v2.6.0
  [f2c3362d] RecursiveFactorization v0.1.4
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v1.0.1 `https://github.com/JuliaPackaging/Requires.jl#replace-include`
  [ae5879a3] ResettableStacks v1.0.0
  [37e2e3b7] ReverseDiff v1.4.2
  [79098fc4] Rmath v0.6.1
  [f50d1b31] Rmath_jll v0.2.2+1
  [47965b36] RootedTrees v1.0.0
  [f2b01f46] Roots v1.0.5
  [21efa798] SIMDPirates v0.8.24
  [476501e8] SLEEFPirates v0.5.5
  [1bc83da4] SafeTestsets v0.0.1
  [91c51154] SentinelArrays v1.2.11
  [efcf1570] Setfield v0.7.0
  [1277b4bf] ShiftedArrays v1.0.0
  [699a6c99] SimpleTraits v0.9.2
  [ed01d8cd] Sobol v1.4.0
  [a2af1166] SortingAlgorithms v0.3.1
  [47a9eef4] SparseDiffTools v1.9.1
  [276daf66] SpecialFunctions v0.10.3
  [171d559e] SplittablesBase v0.1.10
  [860ef19b] StableRNGs v0.1.1
  [90137ffa] StaticArrays v0.12.4
  [2913bbd2] StatsBase v0.32.2
  [4c63d2b9] StatsFuns v0.9.5
  [3eaba693] StatsModels v0.6.12
  [789caeaf] StochasticDiffEq v6.25.0
  [88034a9c] StringDistances v0.6.5
  [09ab397b] StructArrays v0.4.4
  [bea87d4a] SuiteSparse_jll v5.4.0+9
  [c3572dad] Sundials v4.2.5
  [fb77eaff] Sundials_jll v5.2.0+0
  [d1185830] SymbolicUtils v0.5.0
  [5e66a065] TableShowUtils v0.2.5
  [3783bdb8] TableTraits v1.0.0
  [382cd787] TableTraitsUtils v1.0.1
  [bd369af6] Tables v1.0.5
  [5d786b92] TerminalLoggers v0.1.2
  [a759f4b9] TimerOutputs v0.5.6
  [9f7883ad] Tracker v0.2.11
  [28d57a85] Transducers v0.4.47
  [84d833dd] TransformVariables v0.3.4
  [a2a6695c] TreeViews v0.3.0
  [3a884ed6] UnPack v1.0.2
  [1986cc42] Unitful v1.4.0
  [3d5dd08c] VectorizationBase v0.12.32
  [19fa3120] VertexSafeGraphs v0.1.2
  [e88e6eb3] Zygote v0.4.20
  [700de1a5] ZygoteRules v0.2.0
  [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
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays
  [10745b16] Statistics
  [4607b0f0] SuiteSparse
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
Test Summary:           |
Duplicate Example Check | No tests
  4.743013 seconds (13.07 M allocations: 599.081 MiB, 5.65% gc time)
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Subject{NamedTuple{(:dv,),Tuple{Array{Union{Missing, Float64},1}}},Pumas.NoCovar,Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Int64},1},Array{Float64,1}}[Subject
  ID: 1
  Events: 4
  Observables: dv: (n=73)
]┌ Warning: Your dataset has dose event but it hasn't an evid column. We are adding 1 for dosing rows and 0 for others in evid column. If this is not the case, please add your evid column.
│ 
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:950
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary: | Pass  Total
Parsing Tests |   87     87
 20.362934 seconds (59.65 M allocations: 3.008 GiB, 4.73% gc time)
┌ Warning: 40 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary: | Pass  Total
DSL           |   15     15
 80.105744 seconds (214.05 M allocations: 12.277 GiB, 6.41% gc time)
┌ Warning: 40 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary: | Pass  Total
Mixed PK      |    7      7
 15.567278 seconds (43.04 M allocations: 2.628 GiB, 5.20% gc time)
Test Summary: | Pass  Total
Parameters    |   24     24
  1.934806 seconds (4.88 M allocations: 250.156 MiB, 3.40% gc time)
┌ Warning: 40 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:       | Pass  Total
Single Dosage Tests |    6      6
 19.869493 seconds (52.54 M allocations: 3.193 GiB, 4.51% gc time)
┌ Warning: 846 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:         | Pass  Total
Multiple Dosage Tests |   24     24
 11.778743 seconds (31.00 M allocations: 1.887 GiB, 6.63% gc time)
Test Summary:         | Pass  Broken  Total
Generated Doses Tests |    5       2      7
 13.929148 seconds (35.77 M allocations: 2.238 GiB, 4.55% gc time)
Test Summary:          | Pass  Total
SS=2 and Overlap Tests |    2      2
  5.409317 seconds (13.76 M allocations: 878.782 MiB, 4.41% gc time)
Test Summary:   | Pass  Total
Eventless Tests |    1      1
  0.616349 seconds (1.95 M allocations: 98.716 MiB, 2.92% gc time)
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 2 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 2 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 3 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 2 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 2 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 61 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 61 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 2 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 2 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:            | Pass  Broken  Total
Template Model EV System |   95       2     97
 38.148573 seconds (94.62 M allocations: 6.094 GiB, 5.23% gc time)
┌ Warning: 4 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 4 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:           | Pass  Total
Multiple Response Tests |    9      9
 15.928256 seconds (41.38 M allocations: 2.509 GiB, 6.24% gc time)
Test Summary:         | Pass  Total
Repeated Events Tests |    6      6
 13.897972 seconds (36.48 M allocations: 2.162 GiB, 4.59% gc time)
Test Summary:           | Pass  Total
DCP Rate Handling Tests |    3      3
  8.934807 seconds (21.64 M allocations: 1.225 GiB, 3.73% gc time)
┌ Warning: 40 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:                   |
Non-Constant Subject Type Tests | No tests
 10.517890 seconds (24.36 M allocations: 1.529 GiB, 4.23% gc time)
┌ Warning: 846 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:        | Broken  Total
Type-Stability Tests |      6      6
  0.303298 seconds (1.02 M allocations: 54.992 MiB)
┌ Warning: 40 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:     | Pass  Total
StaticArray Tests |    3      3
 21.866888 seconds (53.20 M allocations: 3.412 GiB, 5.61% gc time)
┌ Warning: 846 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:                | Pass  Total
Time-Varying Covariate Tests |    2      2
 17.949232 seconds (44.55 M allocations: 2.867 GiB, 4.49% gc time)
Test Summary: | Pass  Total
Neutropenia   |    1      1
 24.791913 seconds (75.45 M allocations: 3.772 GiB, 6.16% gc time)
Test Summary:  | Pass  Total
Error Handling |    6      6
  8.087507 seconds (17.52 M allocations: 1.038 GiB, 3.62% gc time)
┌ Warning: 40 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
┌ Warning: 1 row(s) has(ve) non-missing observation(s) with mdv set to one. mdv is taking precedence.
└ @ Pumas C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\data_parsing\io.jl:978
Test Summary:                   | Pass  Total
Automatic Differentiation Tests |   52     52
645.286079 seconds (1.67 G allocations: 81.879 GiB, 3.75% gc time)
Test Summary:     | Pass  Total
Analytical models |   65     65
  4.377825 seconds (11.00 M allocations: 547.841 MiB, 3.03% gc time)
Test Summary:   | Pass  Total
User experience |    1      1
  0.446915 seconds (918.04 k allocations: 48.149 MiB)
 33.690624 seconds (29.13 M allocations: 1.605 GiB, 1.23% gc time)
 10.691822 seconds (11.17 M allocations: 590.688 MiB, 1.29% gc time)
Test Summary:     | Pass  Total
Parallelism Tests |    3      3
 44.390942 seconds (40.30 M allocations: 2.181 GiB, 1.24% gc time)
Test Summary: | Pass  Total
Input Tests   |   38     38
 15.275671 seconds (36.64 M allocations: 1.745 GiB, 3.01% gc time)
┌ Warning: Assignment to `x` in soft scope is ambiguous because a global variable by the same name exists: `x` will be treated as a new local. Disambiguate by using `local x` to suppress this warning or `global x` to assign to the existing global variable.
└ @ C:\Users\patri\.julia\packages\Pumas\Aw4s7\test\nca\singledose_tests.jl:147
┌ Warning: Assignment to `idx` in soft scope is ambiguous because a global variable by the same name exists: `idx` will be treated as a new local. Disambiguate by using `local idx` to suppress this warning or `global idx` to assign to the existing global variable.
└ @ C:\Users\patri\.julia\packages\Pumas\Aw4s7\test\nca\singledose_tests.jl:159
┌ Warning: Assignment to `nca` in soft scope is ambiguous because a global variable by the same name exists: `nca` will be treated as a new local. Disambiguate by using `local nca` to suppress this warning or `global nca` to assign to the existing global variable.
└ @ C:\Users\patri\.julia\packages\Pumas\Aw4s7\test\nca\singledose_tests.jl:161
Test Summary:       | Pass  Broken  Total
Single Dosage Tests |  607       6    613
 63.327597 seconds (130.21 M allocations: 6.465 GiB, 2.32% gc time)
┌ Warning: No dosage information has passed. If the dataset has dosage information, you can pass the column names by `amt=:amt, route=:route`.
└ @ Pumas.NCA C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\nca\data_parsing.jl:77
┌ Warning: Dosage information requires the presence of both amt & route information. Looks like you only entered the amt and not the route. If your dataset does not have route, please add a column that specifies the route of administration and then pass both columns as `amt=:amt, route=:route.`
└ @ Pumas.NCA C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\nca\data_parsing.jl:79
┌ Warning: `dose` is not provided. No dependent quantities will be calculated
└ @ Pumas.NCA C:\Users\julia\.julia\packages\Pumas\gH5GZ\src\nca\type.jl:308
[ Info: ID 1 errored: AUC calculation cannot proceed, because `c0` gives missing
[ Info: ID 2 errored: AUC calculation cannot proceed, because `c0` gives missing
[ Info: ID 1 errored: AUC calculation cannot proceed, because `c0` gives missing
[ Info: ID 2 errored: AUC calculation cannot proceed, because `c0` gives missing
Test Summary:         | Pass  Total
Multiple Dosage Tests |   59     59
 70.747952 seconds (125.16 M allocations: 6.308 GiB, 2.13% gc time)
NCAPopulation (5 subjects):
  ID: [1, 2, 3, 4, 5]
  Group: ["METABOLITE" => "Metabolite 1", "METABOLITE" => "Metabolite 2", "METABOLITE" => "Metabolite 3", "METABOLITE" => "Metabolite 4"]
    concentration: Float64
    time:          Float64
    auc:           Float64
    aumc:          Float64
    λz:            Float64
    dose:          Float64NCASubject:
  ID: 1
  Group: "METABOLITE" => "Metabolite 1"
    concentration: Float64
    time:          Float64
    auc:           Float64
    aumc:          Float64
    λz:            Float64
    dose:          Float64Test Summary:  | Pass  Total
Grouping Tests |   17     17
 14.689027 seconds (28.95 M allocations: 1.440 GiB, 1.84% gc time)
Test Summary:  | Pass  Total
Infusion Tests |    9      9
  5.056590 seconds (9.30 M allocations: 463.167 MiB, 2.26% gc time)
Test Summary:           | Pass  Total
Pumas Integration Tests |   58     58
 23.757804 seconds (41.43 M allocations: 2.423 GiB, 2.34% gc time)
Test Summary: | Pass  Total
Urine Tests   |   35     35
  9.346528 seconds (18.05 M allocations: 948.213 MiB, 1.66% gc time)
202.212972 seconds (389.75 M allocations: 19.759 GiB, 2.24% gc time)
416.249954 seconds (453.42 M allocations: 23.979 GiB, 2.21% gc time)
Calculating: variance-covariance matrix. Done.
Calculating: predictions, weighted residuals, empirical bayes. Done.
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
 72.359163 seconds (104.79 M allocations: 15.273 GiB, 4.57% gc time)
 12.089477 seconds (24.95 M allocations: 1.287 GiB, 3.45% gc time)
Calculating: variance-covariance matrix. Failed.
Calculating: variance-covariance matrix. Failed.
Calculating: variance-covariance matrixCalculating: variance-covariance matrix. Failed.
Calculating: variance-covariance matrixCalculating: variance-covariance matrix. Failed.
Calculating: variance-covariance matrixCalculating: variance-covariance matrix. Failed.
Calculating: variance-covariance matrix 73.556209 seconds (128.59 M allocations: 6.559 GiB, 2.20% gc time)
Iter     Function value   Gradient norm 
     0     4.197534e+03     1.849981e+01
 * time: 0.002000093460083008
     1     4.196071e+03     5.948419e+00
 * time: 0.28800010681152344
     2     4.195782e+03     3.863047e+00
 * time: 0.33500003814697266
     3     4.195751e+03     2.269921e+00
 * time: 0.3730001449584961
     4     4.195717e+03     1.779963e+00
 * time: 0.41499996185302734
     5     4.195704e+03     3.060139e-01
 * time: 0.4460000991821289
     6     4.195698e+03     2.271751e-01
 * time: 0.4739999771118164
     7     4.195692e+03     9.800694e-02
 * time: 0.504000186920166
     8     4.195692e+03     1.190604e-02
 * time: 0.5329999923706055
     9     4.195692e+03     1.552089e-04
 * time: 0.5590000152587891
Iter     Function value   Gradient norm 
     0     1.120198e+03     8.678126e+01
 * time: 0.0010001659393310547
     1     1.107609e+03     5.856392e+01
 * time: 0.21500015258789062
     2     1.093872e+03     1.091954e+01
 * time: 0.3689999580383301
     3     1.091999e+03     7.135540e+00
 * time: 0.5039999485015869
     4     1.089865e+03     1.063845e+01
 * time: 0.6500000953674316
     5     1.086083e+03     1.789938e+01
 * time: 0.7940001487731934
     6     1.083834e+03     1.238697e+01
 * time: 0.9440000057220459
     7     1.083029e+03     7.599796e-01
 * time: 1.0950000286102295
     8     1.083007e+03     1.694132e-01
 * time: 1.2269999980926514
     9     1.083007e+03     7.016237e-03
 * time: 1.3300001621246338
    10     1.083007e+03     1.538995e-03
 * time: 1.434999942779541
    11     1.083007e+03     3.177742e-05
 * time: 1.5410001277923584
192.028801 seconds (322.62 M allocations: 76.792 GiB, 6.32% gc time)
Test Summary:                | Pass  Total
Maximum-likelihood interface |   68     68
766.307021 seconds (1.03 G allocations: 123.890 GiB, 3.48% gc time)
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
Calculating: predictions, weighted residuals, empirical bayes. Done.
 43.306660 seconds (67.10 M allocations: 3.636 GiB, 2.30% gc time)
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
Calculating: predictions, weighted residuals, empirical bayes. Done.
 38.253303 seconds (64.92 M allocations: 3.441 GiB, 2.40% gc time)
Calculating: variance-covariance matrix. Done.
Calculating: predictions, weighted residuals, empirical bayes. Done.
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
Calculating: predictions, weighted residuals, empirical bayes. Done.
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
Calculating: predictions, weighted residuals, empirical bayes. Done.
Calculating: variance-covariance matrix. Done.
Calculating: variance-covariance matrix. Done.
Calculating: predictions, weighted residuals, empirical bayes. Done.
753.251044 seconds (1.59 G allocations: 135.865 GiB, 4.45% gc time)
Iter     Function value   Gradient norm 
     0     2.512859e+02     7.693537e+00
 * time: 0.003999948501586914
     1     2.500395e+02     6.173906e+00
 * time: 0.05899977684020996
     2     2.495001e+02     1.062354e+01
 * time: 0.09599995613098145
     3     2.491086e+02     6.451229e+00
 * time: 0.12399983406066895
     4     2.486991e+02     7.687359e-01
 * time: 0.1509997844696045
     5     2.486665e+02     1.304144e+00
 * time: 0.1679999828338623
     6     2.485839e+02     8.765037e-01
 * time: 0.18699979782104492
     7     2.483886e+02     9.996942e-01
 * time: 0.20399999618530273
     8     2.482183e+02     7.767152e-01
 * time: 0.23199987411499023
     9     2.481915e+02     3.726704e-01
 * time: 0.2589998245239258
    10     2.481834e+02     1.735041e-01
 * time: 0.2929999828338623
    11     2.481631e+02     7.359494e-01
 * time: 0.3189997673034668
    12     2.481181e+02     1.892840e+00
 * time: 0.33699989318847656
    13     2.480674e+02     3.502792e+00
 * time: 0.3549997806549072
    14     2.479750e+02     2.600227e+00
 * time: 0.38699984550476074
    15     2.477370e+02     1.913946e+00
 * time: 0.41299986839294434
    16     2.476841e+02     1.373581e+00
 * time: 0.4519999027252197
    17     2.476584e+02     4.781361e-01
 * time: 0.47499990463256836
    18     2.476154e+02     5.485958e-01
 * time: 0.5039999485015869
    19     2.475321e+02     3.213212e+00
 * time: 0.5429999828338623
    20     2.474596e+02     9.962101e-01
 * time: 0.5879998207092285
    21     2.473380e+02     4.364670e+00
 * time: 0.625
    22     2.472752e+02     2.035113e+00
 * time: 0.6559998989105225
    23     2.472251e+02     1.680251e+00
 * time: 0.6739997863769531
    24     2.472165e+02     7.869558e-01
 * time: 0.6909999847412109
    25     2.472111e+02     6.242113e-01
 * time: 0.7179999351501465
    26     2.472064e+02     9.051654e-01
 * time: 0.747999906539917
    27     2.472017e+02     9.655639e-02
 * time: 0.7679998874664307
    28     2.472006e+02     1.142082e-01
 * time: 0.7789998054504395
    29     2.472005e+02     2.873959e-02
 * time: 0.8019998073577881
    30     2.472004e+02     2.469080e-02
 * time: 0.8169999122619629
    31     2.472000e+02     1.069929e-01
 * time: 0.8389999866485596
    32     2.471989e+02     2.392048e-01
 * time: 0.867999792098999
    33     2.471978e+02     3.797411e-01
 * time: 0.9069998264312744
    34     2.471970e+02     5.583542e-01
 * time: 0.9249999523162842
    35     2.471953e+02     3.638564e-01
 * time: 0.9519999027252197
    36     2.471939e+02     1.184046e-01
 * time: 0.9769999980926514
    37     2.471930e+02     1.650623e-01
 * time: 1.0119998455047607
    38     2.471917e+02     1.193405e-01
 * time: 1.051999807357788
    39     2.471911e+02     5.304850e-01
 * time: 1.0709998607635498
    40     2.471896e+02     4.626553e-02
 * time: 1.0889999866485596
    41     2.471892e+02     3.265075e-01
 * time: 1.1079998016357422
    42     2.471888e+02     4.462538e-02
 * time: 1.120999813079834
    43     2.471883e+02     8.385725e-02
 * time: 1.1409997940063477
    44     2.471879e+02     2.354691e-01
 * time: 1.1549999713897705
    45     2.471875e+02     3.023204e-01
 * time: 1.1729998588562012
    46     2.471870e+02     3.937420e-02
 * time: 1.188999891281128
    47     2.471865e+02     2.303584e-01
 * time: 1.2059998512268066
    48     2.471861e+02     2.243504e-01
 * time: 1.2209999561309814
    49     2.471857e+02     6.209588e-02
 * time: 1.2369999885559082
    50     2.471855e+02     1.139054e-01
 * time: 1.253999948501587
    51     2.471853e+02     2.002315e-01
 * time: 1.2739999294281006
    52     2.471850e+02     2.835879e-01
 * time: 1.2909998893737793
    53     2.471846e+02     5.446257e-02
 * time: 1.305999994277954
    54     2.471843e+02     1.872736e-01
 * time: 1.3209998607635498
    55     2.471839e+02     2.125932e-01
 * time: 1.3389999866485596
    56     2.471835e+02     1.599592e-02
 * time: 1.3549997806549072
    57     2.471833e+02     6.801491e-02
 * time: 1.375999927520752
    58     2.471831e+02     1.248127e-01
 * time: 1.3980000019073486
    59     2.471829e+02     2.224348e-01
 * time: 1.4179999828338623
    60     2.471828e+02     2.437003e-01
 * time: 1.434999942779541
    61     2.471825e+02     1.141586e-01
 * time: 1.4529998302459717
    62     2.471821e+02     2.021893e-01
 * time: 1.4729998111724854
    63     2.471815e+02     8.583281e-02
 * time: 1.4909999370574951
    64     2.471812e+02     2.586232e-01
 * time: 1.5079998970031738
    65     2.471804e+02     5.595173e-02
 * time: 1.5269999504089355
    66     2.471802e+02     1.203402e-01
 * time: 1.555999994277954
    67     2.471798e+02     2.357800e-01
 * time: 1.5749998092651367
    68     2.471794e+02     4.586541e-02
 * time: 1.5959999561309814
    69     2.471791e+02     5.832084e-02
 * time: 1.6129999160766602
    70     2.471789e+02     6.982215e-02
 * time: 1.6359999179840088
    71     2.471789e+02     2.354305e-01
 * time: 1.6559998989105225
    72     2.471786e+02     4.935360e-02
 * time: 1.6749999523162842
    73     2.471784e+02     5.292030e-02
 * time: 1.6989998817443848
    74     2.471782e+02     8.537235e-02
 * time: 1.7199997901916504
    75     2.471780e+02     1.379839e-01
 * time: 1.747999906539917
    76     2.471777e+02     5.258445e-02
 * time: 1.7879998683929443
    77     2.471774e+02     4.004561e-02
 * time: 1.8279998302459717
    78     2.471773e+02     9.689401e-02
 * time: 1.8589999675750732
    79     2.471772e+02     4.061454e-02
 * time: 1.8919999599456787
    80     2.471771e+02     1.663222e-02
 * time: 1.9139997959136963
    81     2.471771e+02     4.151363e-02
 * time: 1.9479999542236328
    82     2.471771e+02     1.161058e-02
 * time: 1.9909999370574951
    83     2.471771e+02     4.837545e-03
 * time: 2.0159997940063477
    84     2.471771e+02     4.235007e-03
 * time: 2.0399999618530273
    85     2.471771e+02     2.093594e-04
 * time: 2.066999912261963
Iter     Function value   Gradient norm 
     0     2.512859e+02     7.693537e+00
 * time: 0.003999948501586914
     1     2.500395e+02     6.173906e+00
 * time: 0.10799980163574219
     2     2.495001e+02     1.062354e+01
 * time: 0.26600003242492676
     3     2.491086e+02     6.451229e+00
 * time: 0.35199999809265137
     4     2.486991e+02     7.687362e-01
 * time: 0.5089998245239258
     5     2.486665e+02     1.304144e+00
 * time: 0.6009998321533203
     6     2.485839e+02     8.765037e-01
 * time: 0.6929998397827148
     7     2.483886e+02     9.996943e-01
 * time: 0.750999927520752
     8     2.482183e+02     7.767152e-01
 * time: 0.807999849319458
     9     2.481915e+02     3.726705e-01
 * time: 0.8609998226165771
    10     2.481834e+02     1.735041e-01
 * time: 0.9069998264312744
    11     2.481631e+02     7.359495e-01
 * time: 0.9599997997283936
    12     2.481181e+02     1.892841e+00
 * time: 1.0160000324249268
    13     2.480674e+02     3.502793e+00
 * time: 1.0709998607635498
    14     2.479750e+02     2.600228e+00
 * time: 1.125
    15     2.477370e+02     1.913945e+00
 * time: 1.1899998188018799
    16     2.476841e+02     1.373581e+00
 * time: 1.319000005722046
    17     2.476584e+02     4.781355e-01
 * time: 1.3809998035430908
    18     2.476154e+02     5.485954e-01
 * time: 1.434000015258789
    19     2.475321e+02     3.213213e+00
 * time: 1.6510000228881836
    20     2.474596e+02     9.962088e-01
 * time: 1.7329998016357422
    21     2.473380e+02     4.364659e+00
 * time: 1.810999870300293
    22     2.472752e+02     2.035102e+00
 * time: 1.871999979019165
    23     2.472251e+02     1.680268e+00
 * time: 1.935999870300293
    24     2.472165e+02     7.869426e-01
 * time: 1.9900000095367432
    25     2.472111e+02     6.242304e-01
 * time: 2.050999879837036
    26     2.472064e+02     9.051546e-01
 * time: 2.128000020980835
    27     2.472017e+02     9.657054e-02
 * time: 2.2029998302459717
    28     2.472006e+02     1.142160e-01
 * time: 2.263000011444092
    29     2.472005e+02     2.874290e-02
 * time: 2.3309998512268066
    30     2.472004e+02     2.469154e-02
 * time: 2.388000011444092
    31     2.472000e+02     1.070546e-01
 * time: 2.4489998817443848
    32     2.471989e+02     2.393768e-01
 * time: 2.501999855041504
    33     2.471978e+02     3.799050e-01
 * time: 2.5839998722076416
    34     2.471970e+02     5.584928e-01
 * time: 2.6519999504089355
    35     2.471953e+02     3.638847e-01
 * time: 2.7119998931884766
    36     2.471939e+02     1.185743e-01
 * time: 2.7799999713897705
    37     2.471930e+02     1.648781e-01
 * time: 2.8349997997283936
    38     2.471917e+02     1.193148e-01
 * time: 2.8929998874664307
    39     2.471911e+02     5.305393e-01
 * time: 2.9549999237060547
    40     2.471896e+02     4.640624e-02
 * time: 3.0339999198913574
    41     2.471892e+02     3.267792e-01
 * time: 3.0969998836517334
    42     2.471888e+02     4.415680e-02
 * time: 3.1569998264312744
    43     2.471883e+02     8.366367e-02
 * time: 3.375
    44     2.471879e+02     2.364857e-01
 * time: 3.444000005722046
    45     2.471875e+02     3.003152e-01
 * time: 3.5139999389648438
    46     2.471870e+02     3.939218e-02
 * time: 3.5899999141693115
    47     2.471865e+02     2.397983e-01
 * time: 3.6679999828338623
    48     2.471861e+02     2.088009e-01
 * time: 3.740999937057495
    49     2.471857e+02     1.272920e-01
 * time: 3.815999984741211
    50     2.471855e+02     2.189099e-01
 * time: 3.8980000019073486
    51     2.471849e+02     3.575494e-01
 * time: 4.003999948501587
    52     2.471846e+02     2.827122e-01
 * time: 4.129999876022339
    53     2.471841e+02     7.181656e-02
 * time: 4.226999998092651
    54     2.471841e+02     3.672108e-01
 * time: 4.319999933242798
    55     2.471838e+02     1.245522e-01
 * time: 4.4039998054504395
    56     2.471836e+02     7.117033e-02
 * time: 4.503000020980835
    57     2.471834e+02     4.652234e-01
 * time: 4.730000019073486
    58     2.471831e+02     3.344626e-03
 * time: 4.829999923706055
    59     2.471829e+02     5.508374e-02
 * time: 4.950999975204468
    60     2.471827e+02     1.125090e-01
 * time: 5.096999883651733
    61     2.471825e+02     2.182521e-01
 * time: 5.257999897003174
    62     2.471823e+02     2.579702e-01
 * time: 5.346999883651733
    63     2.471818e+02     2.078804e-01
 * time: 5.511999845504761
    64     2.471813e+02     6.477602e-02
 * time: 5.623999834060669
    65     2.471811e+02     1.189135e-01
 * time: 6.245999813079834
    66     2.471807e+02     1.703945e-01
 * time: 6.442999839782715
    67     2.471801e+02     1.378387e-01
 * time: 6.550999879837036
    68     2.471796e+02     1.249063e-01
 * time: 6.70199990272522
    69     2.471794e+02     9.916658e-02
 * time: 6.843999862670898
    70     2.471791e+02     9.440403e-02
 * time: 7.167999982833862
    71     2.471790e+02     1.991516e-01
 * time: 7.290999889373779
    72     2.471788e+02     1.137807e-01
 * time: 7.398000001907349
    73     2.471786e+02     9.999097e-02
 * time: 7.520999908447266
    74     2.471782e+02     1.589827e-01
 * time: 7.66100001335144
    75     2.471779e+02     1.578225e-02
 * time: 7.794999837875366
    76     2.471777e+02     3.502446e-02
 * time: 7.917999982833862
    77     2.471776e+02     5.079477e-02
 * time: 8.174000024795532
    78     2.471776e+02     1.417650e-01
 * time: 8.299999952316284
    79     2.471774e+02     2.242446e-02
 * time: 8.412999868392944
    80     2.471773e+02     1.795665e-02
 * time: 8.553999900817871
    81     2.471772e+02     3.932619e-02
 * time: 8.727999925613403
    82     2.471771e+02     3.985449e-02
 * time: 8.849999904632568
    83     2.471771e+02     6.239681e-03
 * time: 8.990000009536743
    84     2.471771e+02     1.027051e-02
 * time: 9.097999811172485
    85     2.471771e+02     2.110676e-03
 * time: 9.238999843597412
    86     2.471771e+02     2.558879e-04
 * time: 9.501999855041504
239.255980 seconds (418.84 M allocations: 23.050 GiB, 2.56% gc time)
 15.247202 seconds (21.25 M allocations: 1.279 GiB, 1.89% gc time)
Test Summary:               | Pass  Broken  Total
Maximum-likelihood models 1 |  386       1    387
1007.778529 seconds (2.03 G allocations: 160.195 GiB, 3.96% gc time)
Iter     Function value   Gradient norm 
     0     1.202176e+03     1.013266e+02
 * time: 0.0
     1     1.179040e+03     8.245206e+01
 * time: 3.234999895095825
     2     1.142748e+03     9.384783e+00
 * time: 5.367999792098999
     3     1.141494e+03     6.908574e+00
 * time: 7.2749998569488525
     4     1.137484e+03     1.327961e+01
 * time: 9.465999841690063
     5     1.136247e+03     1.150860e+01
 * time: 11.488999843597412
     6     1.132277e+03     9.852273e+00
 * time: 13.436999797821045
     7     1.131258e+03     5.155140e+00
 * time: 15.466999769210815
     8     1.130659e+03     4.168000e+00
 * time: 17.569999933242798
     9     1.128743e+03     6.109018e+00
 * time: 19.65999984741211
    10     1.128245e+03     4.625764e+00
 * time: 21.527999877929688
    11     1.127588e+03     3.789286e+00
 * time: 23.615999937057495
    12     1.127347e+03     3.791650e+00
 * time: 25.557999849319458
    13     1.126319e+03     6.835237e+00
 * time: 27.46399998664856
    14     1.125567e+03     7.007490e+00
 * time: 29.47099995613098
    15     1.125008e+03     4.859368e+00
 * time: 31.54099988937378
    16     1.124556e+03     4.527412e+00
 * time: 33.67199993133545
    17     1.124384e+03     3.904577e+00
 * time: 35.74499988555908
    18     1.124239e+03     1.927638e+00
 * time: 37.70799994468689
    19     1.124111e+03     2.443074e+00
 * time: 39.81399989128113
    20     1.123935e+03     4.138426e+00
 * time: 41.742999792099
    21     1.123611e+03     5.359711e+00
 * time: 44.0
    22     1.123188e+03     4.802418e+00
 * time: 45.85599994659424
    23     1.122846e+03     3.404400e+00
 * time: 48.27999997138977
    24     1.122479e+03     5.238004e+00
 * time: 50.209999799728394
    25     1.121578e+03     5.530604e+00
 * time: 52.335999965667725
    26     1.121100e+03     3.140021e+00
 * time: 54.210999965667725
    27     1.120589e+03     2.734228e+00
 * time: 56.24399995803833
    28     1.120361e+03     3.658253e+00
 * time: 58.70299983024597
    29     1.120249e+03     1.085690e+00
 * time: 60.739999771118164
    30     1.120199e+03     8.794500e-01
 * time: 62.650999784469604
    31     1.120153e+03     9.085624e-01
 * time: 64.49799990653992
    32     1.120112e+03     9.077185e-01
 * time: 66.3659999370575
    33     1.120035e+03     1.185532e+00
 * time: 68.22299981117249
    34     1.119961e+03     9.084067e-01
 * time: 70.17199993133545
    35     1.119892e+03     6.013210e-01
 * time: 72.08299994468689
    36     1.119872e+03     3.115293e-01
 * time: 73.97499990463257
    37     1.119870e+03     1.681191e-01
 * time: 75.75599980354309
    38     1.119869e+03     6.300290e-02
 * time: 77.65299987792969
    39     1.119869e+03     6.039903e-02
 * time: 79.30999994277954
    40     1.119869e+03     5.752250e-02
 * time: 81.03399991989136
    41     1.119869e+03     6.372625e-02
 * time: 82.73599982261658
    42     1.119868e+03     1.085623e-01
 * time: 84.66699981689453
    43     1.119868e+03     1.288057e-01
 * time: 86.43799996376038
    44     1.119868e+03     7.954366e-02
 * time: 88.16499996185303
    45     1.119868e+03     3.833214e-02
 * time: 89.80499982833862
    46     1.119868e+03     2.184347e-02
 * time: 91.38399982452393
    47     1.119868e+03     2.184347e-02
 * time: 92.82599997520447
239.352517 seconds (316.44 M allocations: 42.546 GiB, 4.08% gc time)
Calculating: predictions, empirical bayes. Done.
Calculating: predictions, empirical bayes. Done.
 40.873050 seconds (63.51 M allocations: 3.316 GiB, 2.20% gc time)
Calculating: variance-covariance matrix. Done.
Calculating: predictions, empirical bayes. Done.
Iter     Function value   Gradient norm 
     0     3.497920e+03     2.975485e+01
 * time: 0.003999948501586914
     1     3.496267e+03     5.631571e+00
 * time: 0.06200003623962402
     2     3.495563e+03     3.273657e+00
 * time: 0.09500002861022949
     3     3.495418e+03     4.281887e-01
 * time: 0.13100004196166992
     4     3.495415e+03     1.038594e-01
 * time: 0.16299986839294434
     5     3.495414e+03     9.283241e-03
 * time: 0.19000005722045898
     6     3.495414e+03     4.929403e-04
 * time: 0.21799993515014648
Calculating: variance-covariance matrix. Done.
Calculating: predictions, empirical bayes. Done.
 58.243308 seconds (82.06 M allocations: 4.356 GiB, 1.85% gc time)
 94.323724 seconds (162.44 M allocations: 13.482 GiB, 3.57% gc time)
681.601897 seconds (1.14 G allocations: 138.545 GiB, 4.44% gc time)
195.810479 seconds (230.82 M allocations: 11.907 GiB, 1.67% gc time)
397.315596 seconds (339.85 M allocations: 39.638 GiB, 2.42% gc time)
Test Summary:               | Pass  Total
Maximum-likelihood models 2 |  205    205
1707.549571 seconds (2.33 G allocations: 253.791 GiB, 3.41% gc time)