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1.6.0-DEV-a6de8b6186.log
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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 Requires ───────────────────── v1.0.1
Installed IteratorInterfaceExtensions ── v1.0.0
Installed FunctionWrappers ───────────── v1.1.1
Installed TableTraits ────────────────── v1.0.0
Installed DiffEqBayes ────────────────── v2.16.0
Installed NLSolversBase ──────────────── v7.6.1
Installed NameResolution ─────────────── v0.1.4
Installed LineSearches ───────────────── v7.0.1
Installed ProgressLogging ────────────── v0.1.3
Installed CpuId ──────────────────────── v0.2.2
Installed RecipesBase ────────────────── v1.0.2
Installed DataStructures ─────────────── v0.17.20
Installed Inflate ────────────────────── v0.1.2
Installed JSON ───────────────────────── v0.21.0
Installed LightGraphs ────────────────── v1.3.3
Installed TransformVariables ─────────── v0.3.8
Installed LoopVectorization ──────────── v0.8.22
Installed NamedArrays ────────────────── v0.9.4
Installed Arpack ─────────────────────── v0.4.0
Installed ArnoldiMethod ──────────────── v0.0.4
Installed NNlib ──────────────────────── v0.6.6
Installed DistributionsAD ────────────── v0.5.3
Installed Reexport ───────────────────── v0.2.0
Installed Libtask ────────────────────── v0.4.1
Installed OpenBLAS_jll ───────────────── v0.3.9+5
Installed SimpleTraits ───────────────── v0.9.2
Installed Optim ──────────────────────── v0.22.0
Installed TreeViews ──────────────────── v0.3.0
Installed EllipticalSliceSampling ────── v0.2.2
Installed Distributions ──────────────── v0.23.4
Installed StatsBase ──────────────────── v0.33.0
Installed MLStyle ────────────────────── v0.4.4
Installed Arpack_jll ─────────────────── v3.5.0+3
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed DiffEqJump ─────────────────── v6.9.3
Installed Turing ─────────────────────── v0.13.0
Installed RecursiveFactorization ─────── v0.1.4
Installed ChainRulesCore ─────────────── v0.9.5
Installed Tracker ────────────────────── v0.2.8
Installed GeneralizedGenerated ───────── v0.2.5
Installed MuladdMacro ────────────────── v0.2.2
Installed SpecialFunctions ───────────── v0.10.3
Installed InvertedIndices ────────────── v1.0.0
Installed Compat ─────────────────────── v3.13.0
Installed ProgressMeter ──────────────── v1.3.2
Installed TimerOutputs ───────────────── v0.5.6
Installed ModelingToolkit ────────────── v3.14.2
Installed DynamicPPL ─────────────────── v0.8.2
Installed StructArrays ───────────────── v0.4.4
Installed LoggingExtras ──────────────── v0.4.2
Installed DynamicHMC ─────────────────── v2.1.0
Installed AbstractMCMC ───────────────── v1.0.1
Installed MCMCChains ─────────────────── v3.0.12
Installed ConstructionBase ───────────── v1.0.0
Installed PrettyPrint ────────────────── v0.2.0
Installed FillArrays ─────────────────── v0.8.13
Installed DiffRules ──────────────────── v1.0.1
Installed PositiveFactorizations ─────── v0.2.3
Installed LeftChildRightSiblingTrees ─── v0.1.2
Installed Distances ──────────────────── v0.8.2
Installed DataAPI ────────────────────── v1.3.0
Installed SIMDPirates ────────────────── v0.8.21
Installed LogDensityProblems ─────────── v0.9.1
Installed BinaryProvider ─────────────── v0.5.10
Installed StaticArrays ───────────────── v0.12.4
Installed AbstractTrees ──────────────── v0.3.3
Installed InplaceOps ─────────────────── v0.3.0
Installed Combinatorics ──────────────── v1.0.2
Installed UnPack ─────────────────────── v1.0.1
Installed Bijectors ──────────────────── v0.7.2
Installed ForwardDiff ────────────────── v0.10.12
Installed IterativeSolvers ───────────── v0.8.4
Installed RandomNumbers ──────────────── v1.4.0
Installed Latexify ───────────────────── v0.13.5
Installed JuliaVariables ─────────────── v0.2.3
Installed EllipsisNotation ───────────── v0.4.0
Installed AdvancedMH ─────────────────── v0.5.1
Installed NaNMath ────────────────────── v0.3.4
Installed MacroTools ─────────────────── v0.5.5
Installed OffsetArrays ───────────────── v1.1.2
Installed VectorizationBase ──────────── v0.12.30
Installed TerminalLoggers ────────────── v0.1.2
Installed MappedArrays ───────────────── v0.2.2
Installed Parsers ────────────────────── v1.0.7
Installed Missings ───────────────────── v0.4.3
Installed AxisArrays ─────────────────── v0.4.3
Installed OrderedCollections ─────────── v1.3.0
Installed ConsoleProgressMonitor ─────── v0.1.2
Installed SafeTestsets ───────────────── v0.0.1
Installed Rmath ──────────────────────── v0.6.1
Installed Roots ──────────────────────── v1.0.4
Installed PDMats ─────────────────────── v0.9.12
Installed StatsFuns ──────────────────── v0.9.5
Installed CompilerSupportLibraries_jll ─ v0.3.3+0
Installed DataValueInterfaces ────────── v1.0.0
Installed BenchmarkTools ─────────────── v0.5.0
Installed Unitful ────────────────────── v1.3.0
Installed IntervalSets ───────────────── v0.5.1
Installed AbstractAlgebra ────────────── v0.9.2
Installed ArgCheck ───────────────────── v2.1.0
Installed DiffEqBase ─────────────────── v6.41.3
Installed DiffResults ────────────────── v1.0.2
Installed CanonicalTraits ────────────── v0.1.0
Installed PoissonRandom ──────────────── v0.4.0
Installed RangeArrays ────────────────── v0.3.2
Installed Rmath_jll ──────────────────── v0.2.2+1
Installed RecursiveArrayTools ────────── v2.5.0
Installed ApproxBayes ────────────────── v0.3.2
Installed FiniteDiff ─────────────────── v2.5.2
Installed QuadGK ─────────────────────── v2.4.0
Installed DocStringExtensions ────────── v0.8.2
Installed Formatting ─────────────────── v0.4.1
Installed LabelledArrays ─────────────── v1.3.0
Installed ArrayInterface ─────────────── v2.11.0
Installed Adapt ──────────────────────── v2.0.2
Installed CommonSubexpressions ───────── v0.3.0
Installed SymbolicUtils ──────────────── v0.4.3
Installed AdvancedHMC ────────────────── v0.2.25
Installed IterTools ──────────────────── v1.3.0
Installed Parameters ─────────────────── v0.12.1
Installed SortingAlgorithms ──────────── v0.3.1
Installed SLEEFPirates ───────────────── v0.5.5
Installed Tables ─────────────────────── v1.0.5
Installed LaTeXStrings ───────────────── v1.1.0
Installed ZygoteRules ────────────────── v0.2.0
Updating `~/.julia/environments/v1.6/Project.toml`
[ebbdde9d] + DiffEqBayes v2.16.0
Updating `~/.julia/environments/v1.6/Manifest.toml`
[c3fe647b] + AbstractAlgebra v0.9.2
[80f14c24] + AbstractMCMC v1.0.1
[1520ce14] + AbstractTrees v0.3.3
[79e6a3ab] + Adapt v2.0.2
[0bf59076] + AdvancedHMC v0.2.25
[5b7e9947] + AdvancedMH v0.5.1
[f5f396d3] + ApproxBayes v0.3.2
[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
[39de3d68] + AxisArrays v0.4.3
[6e4b80f9] + BenchmarkTools v0.5.0
[76274a88] + Bijectors v0.7.2
[b99e7846] + BinaryProvider v0.5.10
[a603d957] + CanonicalTraits v0.1.0
[d360d2e6] + ChainRulesCore v0.9.5
[861a8166] + Combinatorics v1.0.2
[bbf7d656] + CommonSubexpressions v0.3.0
[34da2185] + Compat v3.13.0
[e66e0078] + CompilerSupportLibraries_jll v0.3.3+0
[88cd18e8] + ConsoleProgressMonitor v0.1.2
[187b0558] + ConstructionBase v1.0.0
[adafc99b] + CpuId v0.2.2
[9a962f9c] + DataAPI v1.3.0
[864edb3b] + DataStructures v0.17.20
[e2d170a0] + DataValueInterfaces v1.0.0
[2b5f629d] + DiffEqBase v6.41.3
[ebbdde9d] + DiffEqBayes v2.16.0
[c894b116] + DiffEqJump v6.9.3
[163ba53b] + DiffResults v1.0.2
[b552c78f] + DiffRules v1.0.1
[b4f34e82] + Distances v0.8.2
[31c24e10] + Distributions v0.23.4
[ced4e74d] + DistributionsAD v0.5.3
[ffbed154] + DocStringExtensions v0.8.2
[bbc10e6e] + DynamicHMC v2.1.0
[366bfd00] + DynamicPPL v0.8.2
[da5c29d0] + EllipsisNotation v0.4.0
[cad2338a] + EllipticalSliceSampling v0.2.2
[1a297f60] + FillArrays v0.8.13
[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
[d25df0c9] + Inflate v0.1.2
[505f98c9] + InplaceOps v0.3.0
[8197267c] + IntervalSets v0.5.1
[41ab1584] + InvertedIndices v1.0.0
[c8e1da08] + IterTools v1.3.0
[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
[1d6d02ad] + LeftChildRightSiblingTrees v0.1.2
[6f1fad26] + Libtask v0.4.1
[093fc24a] + LightGraphs v1.3.3
[d3d80556] + LineSearches v7.0.1
[6fdf6af0] + LogDensityProblems v0.9.1
[e6f89c97] + LoggingExtras v0.4.2
[bdcacae8] + LoopVectorization v0.8.22
[c7f686f2] + MCMCChains v3.0.12
[d8e11817] + MLStyle v0.4.4
[1914dd2f] + MacroTools v0.5.5
[dbb5928d] + MappedArrays v0.2.2
[e1d29d7a] + Missings v0.4.3
[961ee093] + ModelingToolkit v3.14.2
[46d2c3a1] + MuladdMacro v0.2.2
[d41bc354] + NLSolversBase v7.6.1
[872c559c] + NNlib v0.6.6
[77ba4419] + NaNMath v0.3.4
[71a1bf82] + NameResolution v0.1.4
[86f7a689] + NamedArrays v0.9.4
[6fe1bfb0] + OffsetArrays v1.1.2
[4536629a] + OpenBLAS_jll v0.3.9+5
[efe28fd5] + OpenSpecFun_jll v0.5.3+3
[429524aa] + Optim v0.22.0
[bac558e1] + OrderedCollections v1.3.0
[90014a1f] + PDMats v0.9.12
[d96e819e] + Parameters v0.12.1
[69de0a69] + Parsers v1.0.7
[e409e4f3] + PoissonRandom v0.4.0
[85a6dd25] + PositiveFactorizations v0.2.3
[8162dcfd] + PrettyPrint v0.2.0
[33c8b6b6] + ProgressLogging v0.1.3
[92933f4c] + ProgressMeter v1.3.2
[1fd47b50] + QuadGK v2.4.0
[e6cf234a] + RandomNumbers v1.4.0
[b3c3ace0] + RangeArrays v0.3.2
[3cdcf5f2] + RecipesBase v1.0.2
[731186ca] + RecursiveArrayTools v2.5.0
[f2c3362d] + RecursiveFactorization v0.1.4
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v1.0.1
[79098fc4] + Rmath v0.6.1
[f50d1b31] + Rmath_jll v0.2.2+1
[f2b01f46] + Roots v1.0.4
[21efa798] + SIMDPirates v0.8.21
[476501e8] + SLEEFPirates v0.5.5
[1bc83da4] + SafeTestsets v0.0.1
[699a6c99] + SimpleTraits v0.9.2
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.10.3
[90137ffa] + StaticArrays v0.12.4
[2913bbd2] + StatsBase v0.33.0
[4c63d2b9] + StatsFuns v0.9.5
[09ab397b] + StructArrays v0.4.4
[d1185830] + SymbolicUtils v0.4.3
[3783bdb8] + TableTraits v1.0.0
[bd369af6] + Tables v1.0.5
[5d786b92] + TerminalLoggers v0.1.2
[a759f4b9] + TimerOutputs v0.5.6
[9f7883ad] + Tracker v0.2.8
[84d833dd] + TransformVariables v0.3.8
[a2a6695c] + TreeViews v0.3.0
[fce5fe82] + Turing v0.13.0
[3a884ed6] + UnPack v1.0.1
[1986cc42] + Unitful v1.3.0
[3d5dd08c] + VectorizationBase v0.12.30
[700de1a5] + ZygoteRules v0.2.0
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[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
Building NNlib ───────→ `~/.julia/packages/NNlib/FAI3o/deps/build.log`
Building Libtask ─────→ `~/.julia/packages/Libtask/Zo6uM/deps/build.log`
Building SLEEFPirates → `~/.julia/packages/SLEEFPirates/jGsib/deps/build.log`
Testing DiffEqBayes
Status `/tmp/jl_YYuddd/Project.toml`
[f5f396d3] ApproxBayes v0.3.2
[2b5f629d] DiffEqBase v6.41.3
[ebbdde9d] DiffEqBayes v2.16.0
[163ba53b] DiffResults v1.0.2
[b4f34e82] Distances v0.8.2
[31c24e10] Distributions v0.23.4
[ffbed154] DocStringExtensions v0.8.2
[bbc10e6e] DynamicHMC v2.1.0
[f6369f11] ForwardDiff v0.10.12
[2ee39098] LabelledArrays v1.3.0
[6fdf6af0] LogDensityProblems v0.9.1
[1914dd2f] MacroTools v0.5.5
[e1d29d7a] Missings v0.4.3
[961ee093] ModelingToolkit v3.14.2
[429524aa] Optim v0.22.0
[1dea7af3] OrdinaryDiffEq v5.42.1
[90014a1f] PDMats v0.9.12
[65888b18] ParameterizedFunctions v5.4.0
[d96e819e] Parameters v0.12.1
[731186ca] RecursiveArrayTools v2.5.0
[189a3867] Reexport v0.2.0
[ae029012] Requires v1.0.1
[1bc83da4] SafeTestsets v0.0.1
[2913bbd2] StatsBase v0.33.0
[9672c7b4] SteadyStateDiffEq v1.5.1
[09ab397b] StructArrays v0.4.4
[84d833dd] TransformVariables v0.3.8
[fce5fe82] Turing v0.13.0
[8ba89e20] Distributed
[37e2e46d] LinearAlgebra
[44cfe95a] Pkg
[9a3f8284] Random
[8dfed614] Test
Status `/tmp/jl_YYuddd/Manifest.toml`
[c3fe647b] AbstractAlgebra v0.9.2
[80f14c24] AbstractMCMC v1.0.1
[1520ce14] AbstractTrees v0.3.3
[79e6a3ab] Adapt v2.0.2
[0bf59076] AdvancedHMC v0.2.25
[5b7e9947] AdvancedMH v0.5.1
[f5f396d3] ApproxBayes v0.3.2
[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
[39de3d68] AxisArrays v0.4.3
[6e4b80f9] BenchmarkTools v0.5.0
[76274a88] Bijectors v0.7.2
[b99e7846] BinaryProvider v0.5.10
[a603d957] CanonicalTraits v0.1.0
[d360d2e6] ChainRulesCore v0.9.5
[861a8166] Combinatorics v1.0.2
[bbf7d656] CommonSubexpressions v0.3.0
[34da2185] Compat v3.13.0
[e66e0078] CompilerSupportLibraries_jll v0.3.3+0
[88cd18e8] ConsoleProgressMonitor v0.1.2
[187b0558] ConstructionBase v1.0.0
[adafc99b] CpuId v0.2.2
[9a962f9c] DataAPI v1.3.0
[864edb3b] DataStructures v0.17.20
[e2d170a0] DataValueInterfaces v1.0.0
[2b5f629d] DiffEqBase v6.41.3
[ebbdde9d] DiffEqBayes v2.16.0
[459566f4] DiffEqCallbacks v2.13.5
[c894b116] DiffEqJump v6.9.3
[163ba53b] DiffResults v1.0.2
[b552c78f] DiffRules v1.0.1
[b4f34e82] Distances v0.8.2
[31c24e10] Distributions v0.23.4
[ced4e74d] DistributionsAD v0.5.3
[ffbed154] DocStringExtensions v0.8.2
[bbc10e6e] DynamicHMC v2.1.0
[366bfd00] DynamicPPL v0.8.2
[da5c29d0] EllipsisNotation v0.4.0
[cad2338a] EllipticalSliceSampling v0.2.2
[d4d017d3] ExponentialUtilities v1.7.0
[9aa1b823] FastClosures v0.3.2
[1a297f60] FillArrays v0.8.13
[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
[d25df0c9] Inflate v0.1.2
[505f98c9] InplaceOps v0.3.0
[8197267c] IntervalSets v0.5.1
[41ab1584] InvertedIndices v1.0.0
[c8e1da08] IterTools v1.3.0
[42fd0dbc] IterativeSolvers v0.8.4
[82899510] IteratorInterfaceExtensions v1.0.0
[682c06a0] JSON v0.21.0
[b14d175d] JuliaVariables v0.2.3
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[23fbe1c1] Latexify v0.13.5
[1d6d02ad] LeftChildRightSiblingTrees v0.1.2
[6f1fad26] Libtask v0.4.1
[093fc24a] LightGraphs v1.3.3
[d3d80556] LineSearches v7.0.1
[6fdf6af0] LogDensityProblems v0.9.1
[e6f89c97] LoggingExtras v0.4.2
[bdcacae8] LoopVectorization v0.8.22
[c7f686f2] MCMCChains v3.0.12
[d8e11817] MLStyle v0.4.4
[1914dd2f] MacroTools v0.5.5
[dbb5928d] MappedArrays v0.2.2
[e1d29d7a] Missings v0.4.3
[961ee093] ModelingToolkit v3.14.2
[46d2c3a1] MuladdMacro v0.2.2
[d41bc354] NLSolversBase v7.6.1
[2774e3e8] NLsolve v4.4.0
[872c559c] NNlib v0.6.6
[77ba4419] NaNMath v0.3.4
[71a1bf82] NameResolution v0.1.4
[86f7a689] NamedArrays v0.9.4
[6fe1bfb0] OffsetArrays v1.1.2
[4536629a] OpenBLAS_jll v0.3.9+5
[efe28fd5] OpenSpecFun_jll v0.5.3+3
[429524aa] Optim v0.22.0
[bac558e1] OrderedCollections v1.3.0
[1dea7af3] OrdinaryDiffEq v5.42.1
[90014a1f] PDMats v0.9.12
[65888b18] ParameterizedFunctions v5.4.0
[d96e819e] Parameters v0.12.1
[69de0a69] Parsers v1.0.7
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[85a6dd25] PositiveFactorizations v0.2.3
[8162dcfd] PrettyPrint v0.2.0
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[e6cf234a] RandomNumbers v1.4.0
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[3cdcf5f2] RecipesBase v1.0.2
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[189a3867] Reexport v0.2.0
[ae029012] Requires v1.0.1
[79098fc4] Rmath v0.6.1
[f50d1b31] Rmath_jll v0.2.2+1
[f2b01f46] Roots v1.0.4
[21efa798] SIMDPirates v0.8.21
[476501e8] SLEEFPirates v0.5.5
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[9672c7b4] SteadyStateDiffEq v1.5.1
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[d1185830] SymbolicUtils v0.4.3
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[bd369af6] Tables v1.0.5
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[a759f4b9] TimerOutputs v0.5.6
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[a2a6695c] TreeViews v0.3.0
[fce5fe82] Turing v0.13.0
[3a884ed6] UnPack v1.0.1
[1986cc42] Unitful v1.3.0
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[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[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
[ Info: finding initial optimum
┌ Warning: dt <= dtmin. Aborting. There is either an error in your model specification or the true solution is unstable.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:343
┌ Warning: Interrupted. Larger maxiters is needed.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:329
┌ Info: found initial stepsize
└ ϵ = 0.125
┌ Info: Starting MCMC
│ total_steps = 75
└ tuning = "stepsize"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0057
│ estimated_seconds_left = 0.42
└ ϵ = 0.125
┌ Info: Starting MCMC
│ total_steps = 25
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.00024
│ estimated_seconds_left = 0.0058
└ ϵ = 0.00989
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.17690727185740274, 0.39557495708956963, 0.7757658958383064]
┌ Info: Starting MCMC
│ total_steps = 50
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0015
│ estimated_seconds_left = 0.074
└ ϵ = 0.000394
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.06639199125406388, 0.26837172913851837, 0.20994918775737254]
┌ Info: Starting MCMC
│ total_steps = 100
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.00094
│ estimated_seconds_left = 0.093
└ ϵ = 0.000827
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.03788254746913633, 0.29038788059848747, 0.1694136435069771]
┌ Info: Starting MCMC
│ total_steps = 200
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.031
│ estimated_seconds_left = 6.2
└ ϵ = 0.00264
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.098
│ estimated_seconds_left = 9.7
└ ϵ = 0.00212
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.03499688026476473, 0.22133723283896384, 0.22747210446017957]
┌ Info: Starting MCMC
│ total_steps = 400
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.045
│ estimated_seconds_left = 18.0
└ ϵ = 0.00465
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.091
│ estimated_seconds_left = 27.0
└ ϵ = 0.0033
┌ Info: MCMC progress
│ step = 201
│ seconds_per_step = 0.088
│ estimated_seconds_left = 17.0
└ ϵ = 0.00412
┌ Info: MCMC progress
│ step = 301
│ seconds_per_step = 0.085
│ estimated_seconds_left = 8.4
└ ϵ = 0.00614
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.029543580879777466, 0.2745972719051856, 0.2642412061335454]
┌ Info: Starting MCMC
│ total_steps = 50
└ tuning = "stepsize"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.026
│ estimated_seconds_left = 1.3
└ ϵ = 0.00533
┌ Info: Starting MCMC
└ total_steps = 1000
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.046
└ estimated_seconds_left = 46.0
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.092
└ estimated_seconds_left = 82.0
┌ Info: MCMC progress
│ step = 201
│ seconds_per_step = 0.091
└ estimated_seconds_left = 73.0
┌ Info: MCMC progress
│ step = 301
│ seconds_per_step = 0.076
└ estimated_seconds_left = 53.0
┌ Info: MCMC progress
│ step = 401
│ seconds_per_step = 0.09
└ estimated_seconds_left = 54.0
┌ Info: MCMC progress
│ step = 501
│ seconds_per_step = 0.072
└ estimated_seconds_left = 36.0
┌ Info: MCMC progress
│ step = 601
│ seconds_per_step = 0.084
└ estimated_seconds_left = 34.0
┌ Info: MCMC progress
│ step = 701
│ seconds_per_step = 0.089
└ estimated_seconds_left = 26.0
┌ Info: MCMC progress
│ step = 801
│ seconds_per_step = 0.083
└ estimated_seconds_left = 17.0
┌ Info: MCMC progress
│ step = 901
│ seconds_per_step = 0.096
└ estimated_seconds_left = 9.5
[ Info: finding initial optimum
┌ Warning: Automatic dt set the starting dt as NaN, causing instability.
└ @ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/yn1YB/src/solve.jl:457
┌ Warning: NaN dt detected. Likely a NaN value in the state, parameters, or derivative value caused this outcome.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:323
┌ Warning: dt <= dtmin. Aborting. There is either an error in your model specification or the true solution is unstable.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:343
┌ Warning: dt <= dtmin. Aborting. There is either an error in your model specification or the true solution is unstable.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:343
┌ Warning: Interrupted. Larger maxiters is needed.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:329
┌ Info: found initial stepsize
└ ϵ = 0.000183
┌ Info: Starting MCMC
│ total_steps = 75
└ tuning = "stepsize"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.048
│ estimated_seconds_left = 3.5
└ ϵ = 0.000183
┌ Info: Starting MCMC
│ total_steps = 25
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.13
│ estimated_seconds_left = 3.1
└ ϵ = 0.000126
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.014187288265902407, 0.014324785272393468, 0.014146943954843342, 0.08257670622170547, 0.09245896356033197]
┌ Info: Starting MCMC
│ total_steps = 50
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.13
│ estimated_seconds_left = 6.2
└ ϵ = 0.000117
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.010121309307868663, 0.010405509537663067, 0.010012305587259063, 0.1933752538471929, 0.18922502941575917]
┌ Info: Starting MCMC
│ total_steps = 100
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.054
│ estimated_seconds_left = 5.3
└ ϵ = 0.00839
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.007213820457963656, 0.00801458872787102, 0.007087586833283067, 0.197000538476962, 0.34870317032911663]
┌ Info: Starting MCMC
│ total_steps = 200
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.026
│ estimated_seconds_left = 5.1
└ ϵ = 0.0141
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.028
│ estimated_seconds_left = 2.7
└ ϵ = 0.0101
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.005343929747288083, 0.0060740792535063605, 0.005036200789468639, 0.3335959775073034, 0.2629455089402809]
┌ Info: Starting MCMC
│ total_steps = 400
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0081
│ estimated_seconds_left = 3.2
└ ϵ = 0.0273
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.019
│ estimated_seconds_left = 5.6
└ ϵ = 0.0265
┌ Info: MCMC progress
│ step = 201
│ seconds_per_step = 0.014
│ estimated_seconds_left = 2.7
└ ϵ = 0.0457
┌ Info: MCMC progress
│ step = 301
│ seconds_per_step = 0.014
│ estimated_seconds_left = 1.4
└ ϵ = 0.0303
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.0038302408954304225, 0.004962294439750662, 0.0035703059513604793, 0.2821984556724321, 0.2606641162824846]
┌ Info: Starting MCMC
│ total_steps = 50
└ tuning = "stepsize"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.013
│ estimated_seconds_left = 0.66
└ ϵ = 0.0322
┌ Info: Starting MCMC
└ total_steps = 1000
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0097
└ estimated_seconds_left = 9.7
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.017
└ estimated_seconds_left = 16.0
┌ Info: MCMC progress
│ step = 201
│ seconds_per_step = 0.016
└ estimated_seconds_left = 12.0
┌ Info: MCMC progress
│ step = 301
│ seconds_per_step = 0.018
└ estimated_seconds_left = 12.0
┌ Info: MCMC progress
│ step = 401
│ seconds_per_step = 0.017
└ estimated_seconds_left = 10.0
┌ Info: MCMC progress
│ step = 501
│ seconds_per_step = 0.017
└ estimated_seconds_left = 8.6
┌ Info: MCMC progress
│ step = 601
│ seconds_per_step = 0.018
└ estimated_seconds_left = 7.1
┌ Info: MCMC progress
│ step = 701
│ seconds_per_step = 0.018
└ estimated_seconds_left = 5.5
┌ Info: MCMC progress
│ step = 801
│ seconds_per_step = 0.019
└ estimated_seconds_left = 3.9
┌ Info: MCMC progress
│ step = 901
│ seconds_per_step = 0.018
└ estimated_seconds_left = 1.8
[ Info: finding initial optimum
┌ Warning: dt <= dtmin. Aborting. There is either an error in your model specification or the true solution is unstable.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:343
┌ Warning: Interrupted. Larger maxiters is needed.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:329
┌ Warning: Interrupted. Larger maxiters is needed.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:329
┌ Info: found initial stepsize
└ ϵ = 0.000488
┌ Info: Starting MCMC
│ total_steps = 75
└ tuning = "stepsize"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0053
│ estimated_seconds_left = 0.39
└ ϵ = 0.000488
┌ Info: Starting MCMC
│ total_steps = 25
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.099
│ estimated_seconds_left = 2.4
└ ϵ = 0.000212
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.04096297016441385, 0.12288832001073362]
┌ Info: Starting MCMC
│ total_steps = 50
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0086
│ estimated_seconds_left = 0.42
└ ϵ = 0.000131
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.04347207274578717, 0.18948847148975412]
┌ Info: Starting MCMC
│ total_steps = 100
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.017
│ estimated_seconds_left = 1.7
└ ϵ = 0.00477
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.04652959713876993, 0.290574408466595]
┌ Info: Starting MCMC
│ total_steps = 200
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0004
│ estimated_seconds_left = 0.08
└ ϵ = 0.00449
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.028
│ estimated_seconds_left = 2.8
└ ϵ = 0.00681
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.024266885016418424, 0.21568081395014577]
┌ Info: Starting MCMC
│ total_steps = 400
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.027
│ estimated_seconds_left = 11.0
└ ϵ = 0.0056
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.036
│ estimated_seconds_left = 11.0
└ ϵ = 0.0135
┌ Info: MCMC progress
│ step = 201
│ seconds_per_step = 0.02
│ estimated_seconds_left = 4.0
└ ϵ = 0.0108
┌ Info: MCMC progress
│ step = 301
│ seconds_per_step = 0.018
│ estimated_seconds_left = 1.8
└ ϵ = 0.015
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.019461313817788598, 0.24538668739951394]
┌ Info: Starting MCMC
│ total_steps = 50
└ tuning = "stepsize"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0055
│ estimated_seconds_left = 0.27
└ ϵ = 0.011
┌ Info: Starting MCMC
└ total_steps = 1000
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.004
└ estimated_seconds_left = 4.0
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.017
└ estimated_seconds_left = 16.0
┌ Info: MCMC progress
│ step = 201
│ seconds_per_step = 0.018
└ estimated_seconds_left = 15.0
┌ Info: MCMC progress
│ step = 301
│ seconds_per_step = 0.016
└ estimated_seconds_left = 11.0
┌ Info: MCMC progress
│ step = 401
│ seconds_per_step = 0.017
└ estimated_seconds_left = 10.0
┌ Info: MCMC progress
│ step = 501
│ seconds_per_step = 0.018
└ estimated_seconds_left = 8.9
┌ Info: MCMC progress
│ step = 601
│ seconds_per_step = 0.017
└ estimated_seconds_left = 6.9
┌ Info: MCMC progress
│ step = 701
│ seconds_per_step = 0.017
└ estimated_seconds_left = 5.1
┌ Info: MCMC progress
│ step = 801
│ seconds_per_step = 0.018
└ estimated_seconds_left = 3.6
┌ Info: MCMC progress
│ step = 901
│ seconds_per_step = 0.019
└ estimated_seconds_left = 1.9
[ Info: finding initial optimum
┌ Warning: Automatic dt set the starting dt as NaN, causing instability.
└ @ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/yn1YB/src/solve.jl:457
┌ Warning: NaN dt detected. Likely a NaN value in the state, parameters, or derivative value caused this outcome.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:323
┌ Warning: Automatic dt set the starting dt as NaN, causing instability.
└ @ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/yn1YB/src/solve.jl:457
┌ Warning: NaN dt detected. Likely a NaN value in the state, parameters, or derivative value caused this outcome.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:323
┌ Warning: Automatic dt set the starting dt as NaN, causing instability.
└ @ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/yn1YB/src/solve.jl:457
┌ Warning: NaN dt detected. Likely a NaN value in the state, parameters, or derivative value caused this outcome.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:323
┌ Warning: dt <= dtmin. Aborting. There is either an error in your model specification or the true solution is unstable.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:343
┌ Warning: dt <= dtmin. Aborting. There is either an error in your model specification or the true solution is unstable.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:343
┌ Warning: Interrupted. Larger maxiters is needed.
└ @ DiffEqBase ~/.julia/packages/DiffEqBase/T5smF/src/integrator_interface.jl:329
┌ Info: found initial stepsize
└ ϵ = 0.000183
┌ Info: Starting MCMC
│ total_steps = 75
└ tuning = "stepsize"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0068
│ estimated_seconds_left = 0.5
└ ϵ = 0.000183
┌ Info: Starting MCMC
│ total_steps = 25
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.05
│ estimated_seconds_left = 1.2
└ ϵ = 0.000255
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.014162570070854785, 0.014145108407747456, 0.1353273689222946]
┌ Info: Starting MCMC
│ total_steps = 50
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.048
│ estimated_seconds_left = 2.3
└ ϵ = 0.000122
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.01003332853013194, 0.010003220756102523, 0.19753208606793188]
┌ Info: Starting MCMC
│ total_steps = 100
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0068
│ estimated_seconds_left = 0.67
└ ϵ = 0.0123
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.00712159513105095, 0.007079194014826356, 0.19907224218054625]
┌ Info: Starting MCMC
│ total_steps = 200
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0035
│ estimated_seconds_left = 0.71
└ ϵ = 0.0268
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.004
│ estimated_seconds_left = 0.4
└ ϵ = 0.0435
┌ Info: adaptation finished
└ adapted_kinetic_energy = Gaussian kinetic energy (typename(LinearAlgebra.Diagonal)), √diag(M⁻¹): [0.005081775010908601, 0.005010644775136399, 0.23512460857941517]
┌ Info: Starting MCMC
│ total_steps = 400
└ tuning = "stepsize and LinearAlgebra.Diagonal metric"
┌ Info: MCMC progress
│ step = 1
│ seconds_per_step = 0.0002
│ estimated_seconds_left = 0.08
└ ϵ = 0.0336
┌ Info: MCMC progress
│ step = 101
│ seconds_per_step = 0.0042
│ estimated_seconds_left = 1.3
└ ϵ = 0.0582
┌ Info: MCMC progress
│ step = 201
│ seconds_per_step = 0.0033
│ estimated_seconds_left = 0.66
└ ϵ = 0.0316
┌ Info: MCMC progress
│ step = 301
│ seconds_per_step = 0.0034
│ estimated_seconds_left = 0.34