SemanticModels

 Resolving package versions...
 Installed DataAPI ───────────────────── v1.1.0
 Installed Missings ──────────────────── v0.4.3
 Installed Showoff ───────────────────── v0.3.1
 Installed Inflate ───────────────────── v0.1.1
 Installed Arpack ────────────────────── v0.3.1
 Installed Petri ─────────────────────── v0.1.2
 Installed TableTraits ───────────────── v1.0.0
 Installed CSV ───────────────────────── v0.5.18
 Installed DataFrames ────────────────── v0.19.4
 Installed LineSearches ──────────────── v7.0.1
 Installed PDMats ────────────────────── v0.9.10
 Installed ConstructionBase ──────────── v1.0.0
 Installed Colors ────────────────────── v0.9.6
 Installed BinaryProvider ────────────── v0.5.8
 Installed Contour ───────────────────── v0.5.1
 Installed StatsBase ─────────────────── v0.32.0
 Installed CommonSubexpressions ──────── v0.2.0
 Installed Measures ──────────────────── v0.3.0
 Installed Plots ─────────────────────── v0.28.2
 Installed Adapt ─────────────────────── v1.0.0
 Installed StatsFuns ─────────────────── v0.9.0
 Installed JLD2 ──────────────────────── v0.1.9
 Installed DiffEqBase ────────────────── v6.7.0
 Installed ArrayLayouts ──────────────── v0.1.5
 Installed NLSolversBase ─────────────── v7.5.0
 Installed DataValueInterfaces ───────── v1.0.0
 Installed Requires ──────────────────── v0.5.2
 Installed PooledArrays ──────────────── v0.5.2
 Installed ResettableStacks ──────────── v1.0.0
 Installed URIParser ─────────────────── v0.4.0
 Installed DocStringExtensions ───────── v0.8.1
 Installed Reexport ──────────────────── v0.2.0
 Installed Rmath ─────────────────────── v0.5.1
 Installed InvertedIndices ───────────── v1.0.0
 Installed ForwardDiff ───────────────── v0.10.7
 Installed VertexSafeGraphs ──────────── v0.1.0
 Installed FunctionWrappers ──────────── v1.0.0
 Installed Compat ────────────────────── v2.2.0
 Installed SemanticModels ────────────── v0.3.0
 Installed OrderedCollections ────────── v1.1.0
 Installed Tables ────────────────────── v0.2.11
 Installed CanonicalTraits ───────────── v0.1.0
 Installed IterTools ─────────────────── v1.3.0
 Installed FilePathsBase ─────────────── v0.7.0
 Installed MetaGraphs ────────────────── v0.6.4
 Installed GLM ───────────────────────── v1.3.4
 Installed GeneralizedGenerated ──────── v0.2.0
 Installed Calculus ──────────────────── v0.5.1
 Installed Match ─────────────────────── v1.0.2
 Installed JuliaVariables ────────────── v0.2.0
 Installed Roots ─────────────────────── v0.8.3
 Installed RecipesBase ───────────────── v0.7.0
 Installed MLStyle ───────────────────── v0.3.1
 Installed ModelingToolkit ───────────── v0.6.4
 Installed TreeViews ─────────────────── v0.3.0
 Installed Cassette ──────────────────── v0.2.6
 Installed DataStructures ────────────── v0.17.6
 Installed WeakRefStrings ────────────── v0.6.1
 Installed ShiftedArrays ─────────────── v1.0.0
 Installed FixedPointNumbers ─────────── v0.6.1
 Installed IterativeSolvers ──────────── v0.8.1
 Installed RandomNumbers ─────────────── v1.3.0
 Installed Distributions ─────────────── v0.21.9
 Installed FillArrays ────────────────── v0.8.2
 Installed LightGraphs ───────────────── v1.3.0
 Installed Catlab ────────────────────── v0.3.0
 Installed Parsers ───────────────────── v0.3.10
 Installed TranscodingStreams ────────── v0.9.5
 Installed StatsModels ───────────────── v0.6.7
 Installed DiffEqDiffTools ───────────── v1.5.0
 Installed FFMPEG ────────────────────── v0.2.3
 Installed JSON ──────────────────────── v0.21.0
 Installed SparseDiffTools ───────────── v1.0.0
 Installed BandedMatrices ────────────── v0.14.2
 Installed DiffRules ─────────────────── v0.1.0
 Installed RecursiveFactorization ────── v0.1.0
 Installed LaTeXStrings ──────────────── v1.0.3
 Installed NaNMath ───────────────────── v0.3.3
 Installed ArrayInterface ────────────── v2.0.0
 Installed CodecZlib ─────────────────── v0.6.0
 Installed GraphDataFrameBridge ──────── v0.2.1
 Installed DataFramesMeta ────────────── v0.5.0
 Installed RecursiveArrayTools ───────── v1.2.0
 Installed StaticArrays ──────────────── v0.11.1
 Installed Latexify ──────────────────── v0.12.3
 Installed MuladdMacro ───────────────── v0.2.1
 Installed DiffResults ───────────────── v0.0.4
 Installed Parameters ────────────────── v0.12.0
 Installed IteratorInterfaceExtensions ─ v1.0.0
 Installed SimpleTraits ──────────────── v0.9.1
 Installed GeometryTypes ─────────────── v0.7.6
 Installed Documenter ────────────────── v0.24.2
 Installed QuadGK ────────────────────── v2.1.1
 Installed LightXML ──────────────────── v0.8.1
 Installed PlotUtils ─────────────────── v0.6.1
 Installed CategoricalArrays ─────────── v0.7.3
 Installed NameResolution ────────────── v0.1.3
 Installed DiffEqNoiseProcess ────────── v3.6.0
 Installed PrettyPrint ───────────────── v0.1.0
 Installed Unitful ───────────────────── v0.18.0
 Installed SortingAlgorithms ─────────── v0.3.1
 Installed UnionFind ─────────────────── v0.1.0
 Installed MacroTools ────────────────── v0.5.2
 Installed LazyArrays ────────────────── v0.14.10
 Installed Distances ─────────────────── v0.8.2
 Installed NLsolve ───────────────────── v4.2.0
 Installed StochasticDiffEq ──────────── v6.15.0
 Installed ColorTypes ────────────────── v0.8.0
 Installed ArnoldiMethod ─────────────── v0.0.4
 Installed AutoHashEquals ────────────── v0.2.0
 Installed BinDeps ───────────────────── v0.8.10
 Installed GR ────────────────────────── v0.44.0
 Installed PlotThemes ────────────────── v1.0.0
 Installed BoundaryValueDiffEq ───────── v2.3.0
 Installed SpecialFunctions ──────────── v0.8.0
 Installed FileIO ────────────────────── v1.1.0
  Updating `~/.julia/environments/v1.2/Project.toml`
  [f5ac2a72] + SemanticModels v0.3.0
  Updating `~/.julia/environments/v1.2/Manifest.toml`
  [79e6a3ab] + Adapt v1.0.0
  [ec485272] + ArnoldiMethod v0.0.4
  [7d9fca2a] + Arpack v0.3.1
  [4fba245c] + ArrayInterface v2.0.0
  [4c555306] + ArrayLayouts v0.1.5
  [15f4f7f2] + AutoHashEquals v0.2.0
  [aae01518] + BandedMatrices v0.14.2
  [9e28174c] + BinDeps v0.8.10
  [b99e7846] + BinaryProvider v0.5.8
  [764a87c0] + BoundaryValueDiffEq v2.3.0
  [336ed68f] + CSV v0.5.18
  [49dc2e85] + Calculus v0.5.1
  [a603d957] + CanonicalTraits v0.1.0
  [7057c7e9] + Cassette v0.2.6
  [324d7699] + CategoricalArrays v0.7.3
  [134e5e36] + Catlab v0.3.0
  [944b1d66] + CodecZlib v0.6.0
  [3da002f7] + ColorTypes v0.8.0
  [5ae59095] + Colors v0.9.6
  [bbf7d656] + CommonSubexpressions v0.2.0
  [34da2185] + Compat v2.2.0
  [187b0558] + ConstructionBase v1.0.0
  [d38c429a] + Contour v0.5.1
  [9a962f9c] + DataAPI v1.1.0
  [a93c6f00] + DataFrames v0.19.4
  [1313f7d8] + DataFramesMeta v0.5.0
  [864edb3b] + DataStructures v0.17.6
  [e2d170a0] + DataValueInterfaces v1.0.0
  [2b5f629d] + DiffEqBase v6.7.0
  [01453d9d] + DiffEqDiffTools v1.5.0
  [77a26b50] + DiffEqNoiseProcess v3.6.0
  [163ba53b] + DiffResults v0.0.4
  [b552c78f] + DiffRules v0.1.0
  [b4f34e82] + Distances v0.8.2
  [31c24e10] + Distributions v0.21.9
  [ffbed154] + DocStringExtensions v0.8.1
  [e30172f5] + Documenter v0.24.2
  [c87230d0] + FFMPEG v0.2.3
  [5789e2e9] + FileIO v1.1.0
  [48062228] + FilePathsBase v0.7.0
  [1a297f60] + FillArrays v0.8.2
  [53c48c17] + FixedPointNumbers v0.6.1
  [f6369f11] + ForwardDiff v0.10.7
  [069b7b12] + FunctionWrappers v1.0.0
  [38e38edf] + GLM v1.3.4
  [28b8d3ca] + GR v0.44.0
  [6b9d7cbe] + GeneralizedGenerated v0.2.0
  [4d00f742] + GeometryTypes v0.7.6
  [3c71623a] + GraphDataFrameBridge v0.2.1
  [d25df0c9] + Inflate v0.1.1
  [41ab1584] + InvertedIndices v1.0.0
  [c8e1da08] + IterTools v1.3.0
  [42fd0dbc] + IterativeSolvers v0.8.1
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [033835bb] + JLD2 v0.1.9
  [682c06a0] + JSON v0.21.0
  [b14d175d] + JuliaVariables v0.2.0
  [b964fa9f] + LaTeXStrings v1.0.3
  [23fbe1c1] + Latexify v0.12.3
  [5078a376] + LazyArrays v0.14.10
  [093fc24a] + LightGraphs v1.3.0
  [9c8b4983] + LightXML v0.8.1
  [d3d80556] + LineSearches v7.0.1
  [d8e11817] + MLStyle v0.3.1
  [1914dd2f] + MacroTools v0.5.2
  [7eb4fadd] + Match v1.0.2
  [442fdcdd] + Measures v0.3.0
  [626554b9] + MetaGraphs v0.6.4
  [e1d29d7a] + Missings v0.4.3
  [961ee093] + ModelingToolkit v0.6.4
  [46d2c3a1] + MuladdMacro v0.2.1
  [d41bc354] + NLSolversBase v7.5.0
  [2774e3e8] + NLsolve v4.2.0
  [77ba4419] + NaNMath v0.3.3
  [71a1bf82] + NameResolution v0.1.3
  [bac558e1] + OrderedCollections v1.1.0
  [90014a1f] + PDMats v0.9.10
  [d96e819e] + Parameters v0.12.0
  [69de0a69] + Parsers v0.3.10
  [4259d249] + Petri v0.1.2
  [ccf2f8ad] + PlotThemes v1.0.0
  [995b91a9] + PlotUtils v0.6.1
  [91a5bcdd] + Plots v0.28.2
  [2dfb63ee] + PooledArrays v0.5.2
  [8162dcfd] + PrettyPrint v0.1.0
  [1fd47b50] + QuadGK v2.1.1
  [e6cf234a] + RandomNumbers v1.3.0
  [3cdcf5f2] + RecipesBase v0.7.0
  [731186ca] + RecursiveArrayTools v1.2.0
  [f2c3362d] + RecursiveFactorization v0.1.0
  [189a3867] + Reexport v0.2.0
  [ae029012] + Requires v0.5.2
  [ae5879a3] + ResettableStacks v1.0.0
  [79098fc4] + Rmath v0.5.1
  [f2b01f46] + Roots v0.8.3
  [f5ac2a72] + SemanticModels v0.3.0
  [1277b4bf] + ShiftedArrays v1.0.0
  [992d4aef] + Showoff v0.3.1
  [699a6c99] + SimpleTraits v0.9.1
  [a2af1166] + SortingAlgorithms v0.3.1
  [47a9eef4] + SparseDiffTools v1.0.0
  [276daf66] + SpecialFunctions v0.8.0
  [90137ffa] + StaticArrays v0.11.1
  [2913bbd2] + StatsBase v0.32.0
  [4c63d2b9] + StatsFuns v0.9.0
  [3eaba693] + StatsModels v0.6.7
  [789caeaf] + StochasticDiffEq v6.15.0
  [3783bdb8] + TableTraits v1.0.0
  [bd369af6] + Tables v0.2.11
  [3bb67fe8] + TranscodingStreams v0.9.5
  [a2a6695c] + TreeViews v0.3.0
  [30578b45] + URIParser v0.4.0
  [99c6138d] + UnionFind v0.1.0
  [1986cc42] + Unitful v0.18.0
  [19fa3120] + VertexSafeGraphs v0.1.0
  [ea10d353] + WeakRefStrings v0.6.1
  [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 
  Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
  Building GR ──────────────→ `~/.julia/packages/GR/oiZD3/deps/build.log`
  Building FFMPEG ──────────→ `~/.julia/packages/FFMPEG/bkWgb/deps/build.log`
  Building Plots ───────────→ `~/.julia/packages/Plots/2KhB2/deps/build.log`
  Building Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
  Building CodecZlib ───────→ `~/.julia/packages/CodecZlib/5t9zO/deps/build.log`
  Building LightXML ────────→ `~/.julia/packages/LightXML/W8FVT/deps/build.log`
  Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
   Testing SemanticModels
 Resolving package versions...
 Installed LsqFit ───────────────── v0.8.1
 Installed DifferentialEquations ── v6.9.0
 Installed Polynomials ──────────── v0.6.0
 Installed ExponentialUtilities ─── v1.5.1
 Installed OptimBase ────────────── v2.0.0
 Installed DimensionalPlotRecipes ─ v1.0.0
 Installed GenericSVD ───────────── v0.2.2
 Installed MultiScaleArrays ─────── v1.5.0
 Installed DiffEqFinancial ──────── v2.2.1
 Installed DiffEqJump ───────────── v6.3.0
 Installed SteadyStateDiffEq ────── v1.5.0
 Installed PoissonRandom ────────── v0.4.0
 Installed DelayDiffEq ──────────── v5.18.0
 Installed DiffEqPhysics ────────── v3.3.0
 Installed Sundials ─────────────── v3.8.1
 Installed OrdinaryDiffEq ───────── v5.25.0
 Installed DiffEqCallbacks ──────── v2.10.0
  Building Sundials → `~/.julia/packages/Sundials/MllUG/deps/build.log`
    Status `/tmp/jl_fn2NBF/Manifest.toml`
  [79e6a3ab] Adapt v1.0.0
  [ec485272] ArnoldiMethod v0.0.4
  [7d9fca2a] Arpack v0.3.1
  [4fba245c] ArrayInterface v2.0.0
  [4c555306] ArrayLayouts v0.1.5
  [15f4f7f2] AutoHashEquals v0.2.0
  [aae01518] BandedMatrices v0.14.2
  [9e28174c] BinDeps v0.8.10
  [b99e7846] BinaryProvider v0.5.8
  [764a87c0] BoundaryValueDiffEq v2.3.0
  [336ed68f] CSV v0.5.18
  [49dc2e85] Calculus v0.5.1
  [a603d957] CanonicalTraits v0.1.0
  [7057c7e9] Cassette v0.2.6
  [324d7699] CategoricalArrays v0.7.3
  [134e5e36] Catlab v0.3.0
  [944b1d66] CodecZlib v0.6.0
  [3da002f7] ColorTypes v0.8.0
  [5ae59095] Colors v0.9.6
  [bbf7d656] CommonSubexpressions v0.2.0
  [34da2185] Compat v2.2.0
  [187b0558] ConstructionBase v1.0.0
  [d38c429a] Contour v0.5.1
  [9a962f9c] DataAPI v1.1.0
  [a93c6f00] DataFrames v0.19.4
  [1313f7d8] DataFramesMeta v0.5.0
  [864edb3b] DataStructures v0.17.6
  [e2d170a0] DataValueInterfaces v1.0.0
  [bcd4f6db] DelayDiffEq v5.18.0
  [2b5f629d] DiffEqBase v6.7.0
  [459566f4] DiffEqCallbacks v2.10.0
  [01453d9d] DiffEqDiffTools v1.5.0
  [5a0ffddc] DiffEqFinancial v2.2.1
  [c894b116] DiffEqJump v6.3.0
  [77a26b50] DiffEqNoiseProcess v3.6.0
  [055956cb] DiffEqPhysics v3.3.0
  [163ba53b] DiffResults v0.0.4
  [b552c78f] DiffRules v0.1.0
  [0c46a032] DifferentialEquations v6.9.0
  [c619ae07] DimensionalPlotRecipes v1.0.0
  [b4f34e82] Distances v0.8.2
  [31c24e10] Distributions v0.21.9
  [ffbed154] DocStringExtensions v0.8.1
  [e30172f5] Documenter v0.24.2
  [d4d017d3] ExponentialUtilities v1.5.1
  [c87230d0] FFMPEG v0.2.3
  [5789e2e9] FileIO v1.1.0
  [48062228] FilePathsBase v0.7.0
  [1a297f60] FillArrays v0.8.2
  [53c48c17] FixedPointNumbers v0.6.1
  [f6369f11] ForwardDiff v0.10.7
  [069b7b12] FunctionWrappers v1.0.0
  [38e38edf] GLM v1.3.4
  [28b8d3ca] GR v0.44.0
  [6b9d7cbe] GeneralizedGenerated v0.2.0
  [01680d73] GenericSVD v0.2.2
  [4d00f742] GeometryTypes v0.7.6
  [3c71623a] GraphDataFrameBridge v0.2.1
  [d25df0c9] Inflate v0.1.1
  [41ab1584] InvertedIndices v1.0.0
  [c8e1da08] IterTools v1.3.0
  [42fd0dbc] IterativeSolvers v0.8.1
  [82899510] IteratorInterfaceExtensions v1.0.0
  [033835bb] JLD2 v0.1.9
  [682c06a0] JSON v0.21.0
  [b14d175d] JuliaVariables v0.2.0
  [b964fa9f] LaTeXStrings v1.0.3
  [23fbe1c1] Latexify v0.12.3
  [5078a376] LazyArrays v0.14.10
  [093fc24a] LightGraphs v1.3.0
  [9c8b4983] LightXML v0.8.1
  [d3d80556] LineSearches v7.0.1
  [2fda8390] LsqFit v0.8.1
  [d8e11817] MLStyle v0.3.1
  [1914dd2f] MacroTools v0.5.2
  [7eb4fadd] Match v1.0.2
  [442fdcdd] Measures v0.3.0
  [626554b9] MetaGraphs v0.6.4
  [e1d29d7a] Missings v0.4.3
  [961ee093] ModelingToolkit v0.6.4
  [46d2c3a1] MuladdMacro v0.2.1
  [f9640e96] MultiScaleArrays v1.5.0
  [d41bc354] NLSolversBase v7.5.0
  [2774e3e8] NLsolve v4.2.0
  [77ba4419] NaNMath v0.3.3
  [71a1bf82] NameResolution v0.1.3
  [87e2bd06] OptimBase v2.0.0
  [bac558e1] OrderedCollections v1.1.0
  [1dea7af3] OrdinaryDiffEq v5.25.0
  [90014a1f] PDMats v0.9.10
  [d96e819e] Parameters v0.12.0
  [69de0a69] Parsers v0.3.10
  [4259d249] Petri v0.1.2
  [ccf2f8ad] PlotThemes v1.0.0
  [995b91a9] PlotUtils v0.6.1
  [91a5bcdd] Plots v0.28.2
  [e409e4f3] PoissonRandom v0.4.0
  [f27b6e38] Polynomials v0.6.0
  [2dfb63ee] PooledArrays v0.5.2
  [8162dcfd] PrettyPrint v0.1.0
  [1fd47b50] QuadGK v2.1.1
  [e6cf234a] RandomNumbers v1.3.0
  [3cdcf5f2] RecipesBase v0.7.0
  [731186ca] RecursiveArrayTools v1.2.0
  [f2c3362d] RecursiveFactorization v0.1.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v0.5.2
  [ae5879a3] ResettableStacks v1.0.0
  [79098fc4] Rmath v0.5.1
  [f2b01f46] Roots v0.8.3
  [f5ac2a72] SemanticModels v0.3.0
  [1277b4bf] ShiftedArrays v1.0.0
  [992d4aef] Showoff v0.3.1
  [699a6c99] SimpleTraits v0.9.1
  [a2af1166] SortingAlgorithms v0.3.1
  [47a9eef4] SparseDiffTools v1.0.0
  [276daf66] SpecialFunctions v0.8.0
  [90137ffa] StaticArrays v0.11.1
  [2913bbd2] StatsBase v0.32.0
  [4c63d2b9] StatsFuns v0.9.0
  [3eaba693] StatsModels v0.6.7
  [9672c7b4] SteadyStateDiffEq v1.5.0
  [789caeaf] StochasticDiffEq v6.15.0
  [c3572dad] Sundials v3.8.1
  [3783bdb8] TableTraits v1.0.0
  [bd369af6] Tables v0.2.11
  [3bb67fe8] TranscodingStreams v0.9.5
  [a2a6695c] TreeViews v0.3.0
  [30578b45] URIParser v0.4.0
  [99c6138d] UnionFind v0.1.0
  [1986cc42] Unitful v0.18.0
  [19fa3120] VertexSafeGraphs v0.1.0
  [ea10d353] WeakRefStrings v0.6.1
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [9fa8497b] Future  [`@stdlib/Future`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [1a1011a3] SharedArrays  [`@stdlib/SharedArrays`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [4607b0f0] SuiteSparse  [`@stdlib/SuiteSparse`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]
expr = Parsers.parsefile("../examples/epicookbook/notebooks/SimpleDeterministicModels/SIRModel.jl") = :(module SIRModel
  #= none:15 =#
  #= none:16 =#
  using DifferentialEquations
  #= none:18 =#
  function sir_ode(du, u, p, t)
      #= none:20 =#
      β = p[1]
      #= none:22 =#
      γ = p[2]
      #= none:25 =#
      S = u[1]
      #= none:27 =#
      I = u[2]
      #= none:29 =#
      du[1] = -β * S * I
      #= none:30 =#
      du[2] = β * S * I - γ * I
      #= none:31 =#
      du[3] = γ * I
  end
  #= none:35 =#
  pram = [0.1, 0.05]
  #= none:37 =#
  init = [0.99, 0.01, 0.0]
  #= none:38 =#
  tspan = (0.0, 200.0)
  #= none:40 =#
  sir_prob = ODEProblem(sir_ode, init, tspan, pram)
  #= none:42 =#
  sir_sol = solve(sir_prob, saveat=0.1)
  #= none:45 =#
  using Plots
  #= none:46 =#
  plot(sir_sol, xlabel="Time", ylabel="Number")
  #= none:48 =#
  function sir_ode2(du, u, p, t)
      #= none:49 =#
      (S, I, R) = u
      #= none:50 =#
      (b, g) = p
      #= none:51 =#
      du[1] = -b * S * I
      #= none:52 =#
      du[2] = b * S * I - g * I
      #= none:53 =#
      du[3] = g * I
  end
  #= none:55 =#
  parms = [0.1, 0.05]
  #= none:56 =#
  init = [0.99, 0.01, 0.0]
  #= none:57 =#
  tspan = (0.0, 200.0)
  #= none:58 =#
  sir_prob2 = ODEProblem(sir_ode2, init, tspan, parms)
  #= none:59 =#
  sir_sol = solve(sir_prob2, saveat=0.1)
  end)
[ Info: unknown expr type for metacollector
expr = :(function sir_ode(du, u, p, t)
      #= none:20 =#
      β = p[1]
      #= none:22 =#
      γ = p[2]
      #= none:25 =#
      S = u[1]
      #= none:27 =#
      I = u[2]
      #= none:29 =#
      du[1] = -β * S * I
      #= none:30 =#
      du[2] = β * S * I - γ * I
      #= none:31 =#
      du[3] = γ * I
  end)
[ Info: unknown expr type for metacollector
[ Info: unknown expr type for metacollector
expr = :(plot(sir_sol, xlabel="Time", ylabel="Number"))
expr = :(function sir_ode2(du, u, p, t)
      #= none:49 =#
      (S, I, R) = u
      #= none:50 =#
      (b, g) = p
      #= none:51 =#
      du[1] = -b * S * I
      #= none:52 =#
      du[2] = b * S * I - g * I
      #= none:53 =#
      du[3] = g * I
  end)
expr = Parsers.parsefile("../examples/epicookbook/notebooks/SimpleDeterministicModels/SEIRmodel.jl") = :(module Modeling
  #= none:1 =#
  #= none:17 =#
  using DifferentialEquations
  #= none:20 =#
  function seir_ode(dY, Y, p, t)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = (μ - β * S * I) - μ * S
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end
  #= none:45 =#
  pram = [520 / 365, 1 / 60, 1 / 30, 774835 / (65640000 * 365)]
  #= none:47 =#
  init = [0.8, 0.1, 0.1]
  #= none:48 =#
  tspan = (0.0, 365.0)
  #= none:50 =#
  seir_prob = ODEProblem(seir_ode, init, tspan, pram)
  #= none:52 =#
  sol = solve(seir_prob)
  #= none:54 =#
  using Plots
  #= none:56 =#
  va = VectorOfArray(sol.u)
  #= none:57 =#
  y = convert(Array, va)
  #= none:58 =#
  R = (ones(size(sol.t)))' - sum(y, dims=1)
  #= none:60 =#
  plot(sol.t, [y', R'], xlabel="Time", ylabel="Proportion")
  end)
[ Info: unknown expr type for metacollector
[ Info: unknown expr type for metacollector
expr = :(function seir_ode(dY, Y, p, t)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = (μ - β * S * I) - μ * S
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end)
expr = :(plot(sol.t, [y', R'], xlabel="Time", ylabel="Proportion"))
((seirc.fc.defs[1])[1]).args[1] == :seir_ode = true
((seirc.fc.defs[1])[1]).args == [:seir_ode, :dY, :Y, :p, :t] = true
Test Summary:    | Pass  Total
Running parse.jl |    3      3
[ Info: Tracing implementation with construct call
[ Info: constructing a vector
[ Info: constructing a vector
[ Info: constructing with type construct
[ Info: constructing a model Main.TraceTest.ODEProblem
[ Info: constructed model: Main.TraceTest.ODEProblem{typeof(Main.TraceTest.sir_ode2),Array{Float64,1},Tuple{Float64,Float64},Array{Float64,1}}(Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05])
[ Info: Tracing implementation without construct call
[ Info: constructing a vector
[ Info: constructing a vector
[ Info: Trace step for construct call
trace1.trace[4] = (SemanticModels.Dubstep.construct, (Main.TraceTest.ODEProblem, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]))
[ Info: Trace step for direct apply type
trace2.trace[4] = (Main.TraceTest.ODEProblem, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]) => Any[(Core.apply_type, (Main.TraceTest.ODEProblem, typeof(Main.TraceTest.sir_ode2), Array{Float64,1}, Tuple{Float64,Float64}, Array{Float64,1})), (Main.TraceTest.ODEProblem{typeof(Main.TraceTest.sir_ode2),Array{Float64,1},Tuple{Float64,Float64},Array{Float64,1}}, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]) => Any[(Core.apply_type, (Main.TraceTest.ODEProblem, typeof(Main.TraceTest.sir_ode2), Array{Float64,1}, Tuple{Float64,Float64}, Array{Float64,1})), (convert, typeof(Main.TraceTest.sir_ode2), Main.TraceTest.sir_ode2) => Any[], (convert, Array{Float64,1}, [0.99, 0.01, 0.0]) => Any[(isa, [0.99, 0.01, 0.0], Array{Float64,1}) => Any[]], (convert, Array{Float64,1}, [0.1, 0.05]) => Any[(isa, [0.1, 0.05], Array{Float64,1}) => Any[]]]]
Test Summary:       | Pass  Total
Running cassette.jl |    9      9
[ Info: constructing a model ODEProblem
 31.254268 seconds (36.34 M allocations: 1.742 GiB, 7.96% gc time)
[ Info: constructing a model ODEProblem
  0.000554 seconds (537 allocations: 48.609 KiB)
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
┌ Error: Exception while generating log record in module Main.ODEXform at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│   exception =
│    schedule: Task not runnable
│    Stacktrace:
│     [1] error(::String) at ./error.jl:33
│     [2] enq_work(::Task) at ./task.jl:411
│     [3] schedule at ./task.jl:426 [inlined]
│     [4] uv_writecb_task(::Ptr{Nothing}, ::Int32) at ./stream.jl:985
│     [5] poptaskref(::Base.InvasiveLinkedListSynchronized{Task}) at ./task.jl:564
│     [6] wait() at ./task.jl:591
│     [7] uv_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:883
│     [8] unsafe_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:931
│     [9] macro expansion at ./io.jl:522 [inlined]
│     [10] write(::Base.PipeEndpoint, ::Array{UInt8,1}) at ./io.jl:545
│     [11] #handle_message#2(::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161
│     [12] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [13] macro expansion at ./logging.jl:320 [inlined]
│     [14] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.vect)) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│     [15] show_reduced_backtrace at ./errorshow.jl:509 [inlined]
│     [16] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.show_reduced_backtrace), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Any,1}, ::Bool) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [17] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.show_backtrace), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [18] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [19] #showerror#625 at ./errorshow.jl:83 [inlined]
│     [20] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base, Symbol("##showerror#625")), ::Bool, ::typeof(showerror), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [21] #showerror at ./none:0 [inlined]
│     [22] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base, Symbol("#kw##showerror")), ::NamedTuple{(:backtrace,),Tuple{Bool}}, ::typeof(showerror), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [23] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:backtrace,),Tuple{Bool}}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [24] showvalue at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:49 [inlined]
│     [25] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Logging.showvalue), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [26] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [27] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Logging, Symbol("##handle_message#2")), ::Nothing, ::Base.Iterators.Pairs{Symbol,Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}},Tuple{Symbol},NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Symbol, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:117
│     [28] #handle_message at ./none:0 [inlined]
│     [29] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base.CoreLogging, Symbol("#kw##handle_message")), ::NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Symbol, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [30] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [31] logging_error at ./logging.jl:339 [inlined]
│     [32] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.CoreLogging.logging_error), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Module, ::String, ::Symbol, ::String, ::Int64, ::ErrorException) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [33] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Module, ::String, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [34] macro expansion at ./logging.jl:322 [inlined]
│     [35] construct at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9 [inlined]
│     [36] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(SemanticModels.Dubstep.construct), ::Type{ODEProblem}, ::typeof(sir_ode), ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Array{Float64,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [37] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Type, ::Function, ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [38] g at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:71 [inlined]
│     [39] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [40] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:76 [inlined]
│     [41] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [42] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [43] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [44] include at ./boot.jl:328 [inlined]
│     [45] include_relative(::Module, ::String) at ./loading.jl:1094
│     [46] include(::Module, ::String) at ./Base.jl:31
│     [47] include(::String) at ./client.jl:431
│     [48] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [49] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [50] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [51] include at ./boot.jl:328 [inlined]
│     [52] include_relative(::Module, ::String) at ./loading.jl:1094
│     [53] include(::Module, ::String) at ./Base.jl:31
│     [54] include(::String) at ./client.jl:431
│     [55] top-level scope at none:5
│     [56] eval(::Module, ::Any) at ./boot.jl:330
│     [57] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ Main.ODEXform ~/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
┌ Error: Exception while generating log record in module SemanticModels.Dubstep at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9
│   exception =
│    this intrinsic must be compiled to be called
│    Stacktrace:
│     [1] call at /root/.julia/packages/Cassette/YCOeN/src/context.jl:447 [inlined]
│     [2] fallback at /root/.julia/packages/Cassette/YCOeN/src/context.jl:445 [inlined]
│     [3] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::String, ::Type, ::Type, ::Ptr{Int64}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:12
│     [4] getindex at ./atomics.jl:347 [inlined]
│     [5] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(getindex), ::Base.Threads.Atomic{Int64}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [6] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [7] lock at ./locks-mt.jl:38 [inlined]
│     [8] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(lock), ::Base.Threads.SpinLock) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [9] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [10] preserve_handle at ./libuv.jl:53 [inlined]
│     [11] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.preserve_handle), ::Task) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [12] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [13] uv_write at ./stream.jl:878 [inlined]
│     [14] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.uv_write), ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [15] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(unsafe_write), ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [16] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [17] unsafe_write at ./io.jl:522 [inlined]
│     [18] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [19] macro expansion at ./gcutils.jl:87 [inlined]
│     [20] write at ./io.jl:545 [inlined]
│     [21] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(write), ::Base.PipeEndpoint, ::Array{UInt8,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [22] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Base.PipeEndpoint, ::Array{UInt8,1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [23] #handle_message#2 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161 [inlined]
│     [24] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Logging, Symbol("##handle_message#2")), ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [25] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::Function, ::Logging.ConsoleLogger, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [26] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [27] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [28] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [29] macro expansion at ./logging.jl:320 [inlined]
│     [30] construct at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9 [inlined]
│     [31] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(SemanticModels.Dubstep.construct), ::Type{ODEProblem}, ::typeof(sir_ode), ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Array{Float64,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [32] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Type, ::Function, ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [33] g at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:71 [inlined]
│     [34] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [35] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:76 [inlined]
│     [36] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [37] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [38] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [39] include at ./boot.jl:328 [inlined]
│     [40] include_relative(::Module, ::String) at ./loading.jl:1094
│     [41] include(::Module, ::String) at ./Base.jl:31
│     [42] include(::String) at ./client.jl:431
│     [43] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [44] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [45] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [46] include at ./boot.jl:328 [inlined]
│     [47] include_relative(::Module, ::String) at ./loading.jl:1094
│     [48] include(::Module, ::String) at ./Base.jl:31
│     [49] include(::String) at ./client.jl:431
│     [50] top-level scope at none:5
│     [51] eval(::Module, ::Any) at ./boot.jl:330
│     [52] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ SemanticModels.Dubstep ~/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9
Exception handling log message: [ Info: constructing a vector length 1
┌ Error: Exception while generating log record in module Main.ODEXform at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│   exception =
│    schedule: Task not runnable
│    Stacktrace:
│     [1] error(::String) at ./error.jl:33
│     [2] enq_work(::Task) at ./task.jl:411
│     [3] schedule at ./task.jl:426 [inlined]
│     [4] uv_writecb_task(::Ptr{Nothing}, ::Int32) at ./stream.jl:985
│     [5] process_events at ./libuv.jl:98 [inlined]
│     [6] wait() at ./task.jl:593
│     [7] uv_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:883
│     [8] unsafe_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:931
│     [9] macro expansion at ./io.jl:522 [inlined]
│     [10] write(::Base.PipeEndpoint, ::Array{UInt8,1}) at ./io.jl:545
│     [11] #handle_message#2(::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161
│     [12] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [13] macro expansion at ./logging.jl:320 [inlined]
│     [14] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.vect), ::Array{Float64,1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│     [15] #__init#329 at /root/.julia/packages/OrdinaryDiffEq/RaufD/src/solve.jl:224 [inlined]
│     [16] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(OrdinaryDiffEq, Symbol("##__init#329")), ::Array{Float64,1}, ::Array{Float64,1}, ::Array{Float64,1}, ::Nothing, ::Bool, ::Bool, ::Bool, ::Bool, ::Nothing, ::Bool, ::Bool, ::Float64, ::Float64, ::Float64, ::Bool, ::Bool, ::Rational{Int64}, ::Nothing, ::Nothing, ::Rational{Int64}, ::Int64, ::Int64, ::Int64, ::Rational{Int64}, ::Bool, ::Int64, ::Nothing, ::Nothing, ::Int64, ::typeof(DiffEqBase.ODE_DEFAULT_NORM), ::typeof(opnorm), ::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), ::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Int64, ::String, ::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), ::Nothing, ::Bool, ::Bool, ::Bool, ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7, ::Array{Array{Float64,1},1}, ::Array{Float64,1}, ::Array{Any,1}, ::Type{Val{true}}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [17] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##__init")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7, ::Array{Array{Float64,1},1}, ::Array{Float64,1}, ::Array{Any,1}, ::Type{Val{true}}) at ./none:0
│     [18] #__init at ./none:0 [inlined] (repeats 4 times)
│     [19] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##__init")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [20] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:alg,),Tuple{Vern7}}, ::Function, ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [21] #__solve#328 at /root/.julia/packages/OrdinaryDiffEq/RaufD/src/solve.jl:4 [inlined]
│     [22] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(OrdinaryDiffEq, Symbol("##__solve#328")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.__solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [23] #__solve at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [24] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [25] #solve_call#442 at /root/.julia/packages/DiffEqBase/E16PL/src/solve.jl:38 [inlined]
│     [26] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("##solve_call#442")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.solve_call), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [27] #solve_call at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [28] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [29] #solve#443 at /root/.julia/packages/DiffEqBase/E16PL/src/solve.jl:51 [inlined]
│     [30] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("##solve#443")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [31] #solve at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [32] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##solve")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [33] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:alg,),Tuple{Vern7}}, ::Function, ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [34] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:77 [inlined]
│     [35] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [36] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [37] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [38] include at ./boot.jl:328 [inlined]
│     [39] include_relative(::Module, ::String) at ./loading.jl:1094
│     [40] include(::Module, ::String) at ./Base.jl:31
│     [41] include(::String) at ./client.jl:431
│     [42] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [43] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [44] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [45] include at ./boot.jl:328 [inlined]
│     [46] include_relative(::Module, ::String) at ./loading.jl:1094
│     [47] include(::Module, ::String) at ./Base.jl:31
│     [48] include(::String) at ./client.jl:431
│     [49] top-level scope at none:5
│     [50] eval(::Module, ::Any) at ./boot.jl:330
│     [51] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ Main.ODEXform ~/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
┌ Error: Exception while generating log record in module Main.ODEXform at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│   exception =
│    schedule: Task not runnable
│    Stacktrace:
│     [1] error(::String) at ./error.jl:33
│     [2] enq_work(::Task) at ./task.jl:411
│     [3] schedule at ./task.jl:426 [inlined]
│     [4] uv_writecb_task(::Ptr{Nothing}, ::Int32) at ./stream.jl:985
│     [5] process_events at ./libuv.jl:98 [inlined]
│     [6] wait() at ./task.jl:593
│     [7] uv_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:883
│     [8] unsafe_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:931
│     [9] macro expansion at ./io.jl:522 [inlined]
│     [10] write(::Base.PipeEndpoint, ::Array{UInt8,1}) at ./io.jl:545
│     [11] #handle_message#2(::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161
│     [12] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [13] macro expansion at ./logging.jl:320 [inlined]
│     [14] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.vect)) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│     [15] show_reduced_backtrace at ./errorshow.jl:509 [inlined]
│     [16] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.show_reduced_backtrace), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Any,1}, ::Bool) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [17] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.show_backtrace), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [18] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [19] #showerror#625 at ./errorshow.jl:83 [inlined]
│     [20] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base, Symbol("##showerror#625")), ::Bool, ::typeof(showerror), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [21] #showerror at ./none:0 [inlined]
│     [22] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base, Symbol("#kw##showerror")), ::NamedTuple{(:backtrace,),Tuple{Bool}}, ::typeof(showerror), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [23] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:backtrace,),Tuple{Bool}}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [24] showvalue at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:49 [inlined]
│     [25] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Logging.showvalue), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [26] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [27] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Logging, Symbol("##handle_message#2")), ::Nothing, ::Base.Iterators.Pairs{Symbol,Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}},Tuple{Symbol},NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Symbol, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:117
│     [28] #handle_message at ./none:0 [inlined]
│     [29] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base.CoreLogging, Symbol("#kw##handle_message")), ::NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Symbol, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [30] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [31] logging_error at ./logging.jl:339 [inlined]
│     [32] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.CoreLogging.logging_error), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Module, ::String, ::Symbol, ::String, ::Int64, ::ErrorException) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [33] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Module, ::String, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [34] macro expansion at ./logging.jl:322 [inlined]
│     [35] construct at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9 [inlined]
│     [36] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(SemanticModels.Dubstep.construct), ::Type{ODEProblem}, ::typeof(sir_ode), ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Array{Float64,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [37] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Type, ::Function, ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [38] g at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:71 [inlined]
│     [39] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [40] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:76 [inlined]
│     [41] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [42] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [43] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [44] include at ./boot.jl:328 [inlined]
│     [45] include_relative(::Module, ::String) at ./loading.jl:1094
│     [46] include(::Module, ::String) at ./Base.jl:31
│     [47] include(::String) at ./client.jl:431
│     [48] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [49] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [50] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [51] include at ./boot.jl:328 [inlined]
│     [52] include_relative(::Module, ::String) at ./loading.jl:1094
│     [53] include(::Module, ::String) at ./Base.jl:31
│     [54] include(::String) at ./client.jl:431
│     [55] top-level scope at none:5
│     [56] eval(::Module, ::Any) at ./boot.jl:330
│     [57] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ Main.ODEXform ~/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
┌ Error: Exception while generating log record in module SemanticModels.Dubstep at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9
│   exception =
│    this intrinsic must be compiled to be called
│    Stacktrace:
│     [1] call at /root/.julia/packages/Cassette/YCOeN/src/context.jl:447 [inlined]
│     [2] fallback at /root/.julia/packages/Cassette/YCOeN/src/context.jl:445 [inlined]
│     [3] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::String, ::Type, ::Type, ::Ptr{Int64}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:12
│     [4] getindex at ./atomics.jl:347 [inlined]
│     [5] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(getindex), ::Base.Threads.Atomic{Int64}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [6] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [7] lock at ./locks-mt.jl:38 [inlined]
│     [8] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(lock), ::Base.Threads.SpinLock) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [9] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [10] preserve_handle at ./libuv.jl:53 [inlined]
│     [11] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.preserve_handle), ::Task) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [12] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [13] uv_write at ./stream.jl:878 [inlined]
│     [14] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.uv_write), ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [15] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(unsafe_write), ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [16] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [17] unsafe_write at ./io.jl:522 [inlined]
│     [18] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [19] macro expansion at ./gcutils.jl:87 [inlined]
│     [20] write at ./io.jl:545 [inlined]
│     [21] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(write), ::Base.PipeEndpoint, ::Array{UInt8,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [22] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Base.PipeEndpoint, ::Array{UInt8,1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [23] #handle_message#2 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161 [inlined]
│     [24] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Logging, Symbol("##handle_message#2")), ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [25] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::Function, ::Logging.ConsoleLogger, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [26] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [27] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [28] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [29] macro expansion at ./logging.jl:320 [inlined]
│     [30] construct at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9 [inlined]
│     [31] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(SemanticModels.Dubstep.construct), ::Type{ODEProblem}, ::typeof(sir_ode), ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Array{Float64,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [32] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Type, ::Function, ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [33] g at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:71 [inlined]
│     [34] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [35] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:76 [inlined]
│     [36] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [37] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [38] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [39] include at ./boot.jl:328 [inlined]
│     [40] include_relative(::Module, ::String) at ./loading.jl:1094
│     [41] include(::Module, ::String) at ./Base.jl:31
│     [42] include(::String) at ./client.jl:431
│     [43] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [44] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [45] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [46] include at ./boot.jl:328 [inlined]
│     [47] include_relative(::Module, ::String) at ./loading.jl:1094
│     [48] include(::Module, ::String) at ./Base.jl:31
│     [49] include(::String) at ./client.jl:431
│     [50] top-level scope at none:5
│     [51] eval(::Module, ::Any) at ./boot.jl:330
│     [52] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ SemanticModels.Dubstep ~/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9
Exception handling log message: [ Info: constructing a vector length 1
┌ Error: Exception while generating log record in module Main.ODEXform at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│   exception =
│    schedule: Task not runnable
│    Stacktrace:
│     [1] error(::String) at ./error.jl:33
│     [2] enq_work(::Task) at ./task.jl:411
│     [3] schedule at ./task.jl:426 [inlined]
│     [4] uv_writecb_task(::Ptr{Nothing}, ::Int32) at ./stream.jl:985
│     [5] process_events at ./libuv.jl:98 [inlined]
│     [6] wait() at ./task.jl:593
│     [7] uv_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:883
│     [8] unsafe_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:931
│     [9] macro expansion at ./io.jl:522 [inlined]
│     [10] write(::Base.PipeEndpoint, ::Array{UInt8,1}) at ./io.jl:545
│     [11] #handle_message#2(::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161
│     [12] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [13] macro expansion at ./logging.jl:320 [inlined]
│     [14] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.vect), ::Array{Float64,1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│     [15] #__init#329 at /root/.julia/packages/OrdinaryDiffEq/RaufD/src/solve.jl:224 [inlined]
│     [16] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(OrdinaryDiffEq, Symbol("##__init#329")), ::Array{Float64,1}, ::Array{Float64,1}, ::Array{Float64,1}, ::Nothing, ::Bool, ::Bool, ::Bool, ::Bool, ::Nothing, ::Bool, ::Bool, ::Float64, ::Float64, ::Float64, ::Bool, ::Bool, ::Rational{Int64}, ::Nothing, ::Nothing, ::Rational{Int64}, ::Int64, ::Int64, ::Int64, ::Rational{Int64}, ::Bool, ::Int64, ::Nothing, ::Nothing, ::Int64, ::typeof(DiffEqBase.ODE_DEFAULT_NORM), ::typeof(opnorm), ::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), ::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Int64, ::String, ::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), ::Nothing, ::Bool, ::Bool, ::Bool, ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7, ::Array{Array{Float64,1},1}, ::Array{Float64,1}, ::Array{Any,1}, ::Type{Val{true}}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [17] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##__init")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7, ::Array{Array{Float64,1},1}, ::Array{Float64,1}, ::Array{Any,1}, ::Type{Val{true}}) at ./none:0
│     [18] #__init at ./none:0 [inlined] (repeats 4 times)
│     [19] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##__init")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [20] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:alg,),Tuple{Vern7}}, ::Function, ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [21] #__solve#328 at /root/.julia/packages/OrdinaryDiffEq/RaufD/src/solve.jl:4 [inlined]
│     [22] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(OrdinaryDiffEq, Symbol("##__solve#328")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.__solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [23] #__solve at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [24] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [25] #solve_call#442 at /root/.julia/packages/DiffEqBase/E16PL/src/solve.jl:38 [inlined]
│     [26] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("##solve_call#442")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.solve_call), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [27] #solve_call at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [28] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [29] #solve#443 at /root/.julia/packages/DiffEqBase/E16PL/src/solve.jl:51 [inlined]
│     [30] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("##solve#443")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [31] #solve at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [32] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##solve")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [33] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:alg,),Tuple{Vern7}}, ::Function, ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [34] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:77 [inlined]
│     [35] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [36] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [37] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [38] include at ./boot.jl:328 [inlined]
│     [39] include_relative(::Module, ::String) at ./loading.jl:1094
│     [40] include(::Module, ::String) at ./Base.jl:31
│     [41] include(::String) at ./client.jl:431
│     [42] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [43] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [44] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [45] include at ./boot.jl:328 [inlined]
│     [46] include_relative(::Module, ::String) at ./loading.jl:1094
│     [47] include(::Module, ::String) at ./Base.jl:31
│     [48] include(::String) at ./client.jl:431
│     [49] top-level scope at none:5
│     [50] eval(::Module, ::Any) at ./boot.jl:330
│     [51] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ Main.ODEXform ~/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
┌ Error: Exception while generating log record in module Main.ODEXform at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│   exception =
│    schedule: Task not runnable
│    Stacktrace:
│     [1] error(::String) at ./error.jl:33
│     [2] enq_work(::Task) at ./task.jl:411
│     [3] schedule at ./task.jl:426 [inlined]
│     [4] uv_writecb_task(::Ptr{Nothing}, ::Int32) at ./stream.jl:985
│     [5] process_events at ./libuv.jl:98 [inlined]
│     [6] wait() at ./task.jl:593
│     [7] uv_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:883
│     [8] unsafe_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:931
│     [9] macro expansion at ./io.jl:522 [inlined]
│     [10] write(::Base.PipeEndpoint, ::Array{UInt8,1}) at ./io.jl:545
│     [11] #handle_message#2(::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161
│     [12] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [13] macro expansion at ./logging.jl:320 [inlined]
│     [14] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.vect)) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│     [15] show_reduced_backtrace at ./errorshow.jl:509 [inlined]
│     [16] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.show_reduced_backtrace), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Any,1}, ::Bool) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [17] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.show_backtrace), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [18] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [19] #showerror#625 at ./errorshow.jl:83 [inlined]
│     [20] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base, Symbol("##showerror#625")), ::Bool, ::typeof(showerror), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [21] #showerror at ./none:0 [inlined]
│     [22] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base, Symbol("#kw##showerror")), ::NamedTuple{(:backtrace,),Tuple{Bool}}, ::typeof(showerror), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [23] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:backtrace,),Tuple{Bool}}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [24] showvalue at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:49 [inlined]
│     [25] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Logging.showvalue), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [26] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [27] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Logging, Symbol("##handle_message#2")), ::Nothing, ::Base.Iterators.Pairs{Symbol,Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}},Tuple{Symbol},NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Symbol, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:117
│     [28] #handle_message at ./none:0 [inlined]
│     [29] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base.CoreLogging, Symbol("#kw##handle_message")), ::NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Symbol, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [30] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [31] logging_error at ./logging.jl:339 [inlined]
│     [32] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.CoreLogging.logging_error), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Module, ::String, ::Symbol, ::String, ::Int64, ::ErrorException) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [33] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Module, ::String, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [34] macro expansion at ./logging.jl:322 [inlined]
│     [35] construct at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9 [inlined]
│     [36] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(SemanticModels.Dubstep.construct), ::Type{ODEProblem}, ::typeof(sir_ode), ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Array{Float64,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [37] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Type, ::Function, ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [38] g at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:71 [inlined]
│     [39] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [40] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:76 [inlined]
│     [41] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [42] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [43] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [44] include at ./boot.jl:328 [inlined]
│     [45] include_relative(::Module, ::String) at ./loading.jl:1094
│     [46] include(::Module, ::String) at ./Base.jl:31
│     [47] include(::String) at ./client.jl:431
│     [48] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [49] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [50] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [51] include at ./boot.jl:328 [inlined]
│     [52] include_relative(::Module, ::String) at ./loading.jl:1094
│     [53] include(::Module, ::String) at ./Base.jl:31
│     [54] include(::String) at ./client.jl:431
│     [55] top-level scope at none:5
│     [56] eval(::Module, ::Any) at ./boot.jl:330
│     [57] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ Main.ODEXform ~/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
┌ Error: Exception while generating log record in module SemanticModels.Dubstep at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9
│   exception =
│    this intrinsic must be compiled to be called
│    Stacktrace:
│     [1] call at /root/.julia/packages/Cassette/YCOeN/src/context.jl:447 [inlined]
│     [2] fallback at /root/.julia/packages/Cassette/YCOeN/src/context.jl:445 [inlined]
│     [3] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::String, ::Type, ::Type, ::Ptr{Int64}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:12
│     [4] getindex at ./atomics.jl:347 [inlined]
│     [5] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(getindex), ::Base.Threads.Atomic{Int64}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [6] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [7] lock at ./locks-mt.jl:38 [inlined]
│     [8] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(lock), ::Base.Threads.SpinLock) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [9] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [10] preserve_handle at ./libuv.jl:53 [inlined]
│     [11] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.preserve_handle), ::Task) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [12] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [13] uv_write at ./stream.jl:878 [inlined]
│     [14] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.uv_write), ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [15] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(unsafe_write), ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [16] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [17] unsafe_write at ./io.jl:522 [inlined]
│     [18] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [19] macro expansion at ./gcutils.jl:87 [inlined]
│     [20] write at ./io.jl:545 [inlined]
│     [21] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(write), ::Base.PipeEndpoint, ::Array{UInt8,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [22] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Base.PipeEndpoint, ::Array{UInt8,1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [23] #handle_message#2 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161 [inlined]
│     [24] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Logging, Symbol("##handle_message#2")), ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [25] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::Function, ::Logging.ConsoleLogger, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [26] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [27] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [28] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [29] macro expansion at ./logging.jl:320 [inlined]
│     [30] construct at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9 [inlined]
│     [31] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(SemanticModels.Dubstep.construct), ::Type{ODEProblem}, ::typeof(sir_ode), ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Array{Float64,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [32] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Type, ::Function, ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [33] g at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:71 [inlined]
│     [34] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [35] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:76 [inlined]
│     [36] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [37] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [38] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [39] include at ./boot.jl:328 [inlined]
│     [40] include_relative(::Module, ::String) at ./loading.jl:1094
│     [41] include(::Module, ::String) at ./Base.jl:31
│     [42] include(::String) at ./client.jl:431
│     [43] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [44] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [45] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [46] include at ./boot.jl:328 [inlined]
│     [47] include_relative(::Module, ::String) at ./loading.jl:1094
│     [48] include(::Module, ::String) at ./Base.jl:31
│     [49] include(::String) at ./client.jl:431
│     [50] top-level scope at none:5
│     [51] eval(::Module, ::Any) at ./boot.jl:330
│     [52] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ SemanticModels.Dubstep ~/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9
Exception handling log message: [ Info: constructing a vector length 1
┌ Error: Exception while generating log record in module Main.ODEXform at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│   exception =
│    schedule: Task not runnable
│    Stacktrace:
│     [1] error(::String) at ./error.jl:33
│     [2] enq_work(::Task) at ./task.jl:411
│     [3] schedule at ./task.jl:426 [inlined]
│     [4] uv_writecb_task(::Ptr{Nothing}, ::Int32) at ./stream.jl:985
│     [5] process_events at ./libuv.jl:98 [inlined]
│     [6] wait() at ./task.jl:593
│     [7] uv_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:883
│     [8] unsafe_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:931
│     [9] macro expansion at ./io.jl:522 [inlined]
│     [10] write(::Base.PipeEndpoint, ::Array{UInt8,1}) at ./io.jl:545
│     [11] #handle_message#2(::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161
│     [12] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [13] macro expansion at ./logging.jl:320 [inlined]
│     [14] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.vect), ::Array{Float64,1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│     [15] #__init#329 at /root/.julia/packages/OrdinaryDiffEq/RaufD/src/solve.jl:224 [inlined]
│     [16] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(OrdinaryDiffEq, Symbol("##__init#329")), ::Array{Float64,1}, ::Array{Float64,1}, ::Array{Float64,1}, ::Nothing, ::Bool, ::Bool, ::Bool, ::Bool, ::Nothing, ::Bool, ::Bool, ::Float64, ::Float64, ::Float64, ::Bool, ::Bool, ::Rational{Int64}, ::Nothing, ::Nothing, ::Rational{Int64}, ::Int64, ::Int64, ::Int64, ::Rational{Int64}, ::Bool, ::Int64, ::Nothing, ::Nothing, ::Int64, ::typeof(DiffEqBase.ODE_DEFAULT_NORM), ::typeof(opnorm), ::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), ::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Int64, ::String, ::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), ::Nothing, ::Bool, ::Bool, ::Bool, ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7, ::Array{Array{Float64,1},1}, ::Array{Float64,1}, ::Array{Any,1}, ::Type{Val{true}}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [17] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##__init")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7, ::Array{Array{Float64,1},1}, ::Array{Float64,1}, ::Array{Any,1}, ::Type{Val{true}}) at ./none:0
│     [18] #__init at ./none:0 [inlined] (repeats 4 times)
│     [19] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##__init")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [20] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:alg,),Tuple{Vern7}}, ::Function, ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [21] #__solve#328 at /root/.julia/packages/OrdinaryDiffEq/RaufD/src/solve.jl:4 [inlined]
│     [22] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(OrdinaryDiffEq, Symbol("##__solve#328")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.__solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [23] #__solve at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [24] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [25] #solve_call#442 at /root/.julia/packages/DiffEqBase/E16PL/src/solve.jl:38 [inlined]
│     [26] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("##solve_call#442")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.solve_call), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [27] #solve_call at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [28] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [29] #solve#443 at /root/.julia/packages/DiffEqBase/E16PL/src/solve.jl:51 [inlined]
│     [30] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("##solve#443")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [31] #solve at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [32] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##solve")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [33] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:alg,),Tuple{Vern7}}, ::Function, ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [34] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:77 [inlined]
│     [35] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [36] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [37] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [38] include at ./boot.jl:328 [inlined]
│     [39] include_relative(::Module, ::String) at ./loading.jl:1094
│     [40] include(::Module, ::String) at ./Base.jl:31
│     [41] include(::String) at ./client.jl:431
│     [42] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [43] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [44] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [45] include at ./boot.jl:328 [inlined]
│     [46] include_relative(::Module, ::String) at ./loading.jl:1094
│     [47] include(::Module, ::String) at ./Base.jl:31
│     [48] include(::String) at ./client.jl:431
│     [49] top-level scope at none:5
│     [50] eval(::Module, ::Any) at ./boot.jl:330
│     [51] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ Main.ODEXform ~/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
┌ Error: Exception while generating log record in module Main.ODEXform at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│   exception =
│    schedule: Task not runnable
│    Stacktrace:
│     [1] error(::String) at ./error.jl:33
│     [2] enq_work(::Task) at ./task.jl:411
│     [3] schedule at ./task.jl:426 [inlined]
│     [4] uv_writecb_task(::Ptr{Nothing}, ::Int32) at ./stream.jl:985
│     [5] process_events at ./libuv.jl:98 [inlined]
│     [6] wait() at ./task.jl:593
│     [7] uv_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:883
│     [8] unsafe_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:931
│     [9] macro expansion at ./io.jl:522 [inlined]
│     [10] write(::Base.PipeEndpoint, ::Array{UInt8,1}) at ./io.jl:545
│     [11] #handle_message#2(::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161
│     [12] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [13] macro expansion at ./logging.jl:320 [inlined]
│     [14] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.vect)) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│     [15] show_reduced_backtrace at ./errorshow.jl:509 [inlined]
│     [16] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.show_reduced_backtrace), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Any,1}, ::Bool) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [17] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.show_backtrace), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [18] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [19] #showerror#625 at ./errorshow.jl:83 [inlined]
│     [20] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base, Symbol("##showerror#625")), ::Bool, ::typeof(showerror), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [21] #showerror at ./none:0 [inlined]
│     [22] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base, Symbol("#kw##showerror")), ::NamedTuple{(:backtrace,),Tuple{Bool}}, ::typeof(showerror), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [23] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:backtrace,),Tuple{Bool}}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::ErrorException, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [24] showvalue at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:49 [inlined]
│     [25] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Logging.showvalue), ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [26] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::IOContext{Base.GenericIOBuffer{Array{UInt8,1}}}, ::Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [27] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Logging, Symbol("##handle_message#2")), ::Nothing, ::Base.Iterators.Pairs{Symbol,Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}},Tuple{Symbol},NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Symbol, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:117
│     [28] #handle_message at ./none:0 [inlined]
│     [29] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Base.CoreLogging, Symbol("#kw##handle_message")), ::NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Symbol, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [30] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:exception,),Tuple{Tuple{ErrorException,Array{Union{Ptr{Nothing}, Base.InterpreterIP},1}}}}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [31] logging_error at ./logging.jl:339 [inlined]
│     [32] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.CoreLogging.logging_error), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Module, ::String, ::Symbol, ::String, ::Int64, ::ErrorException) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [33] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::Module, ::String, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [34] macro expansion at ./logging.jl:322 [inlined]
│     [35] construct at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9 [inlined]
│     [36] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(SemanticModels.Dubstep.construct), ::Type{ODEProblem}, ::typeof(sir_ode), ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Array{Float64,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [37] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Type, ::Function, ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [38] g at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:71 [inlined]
│     [39] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [40] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:76 [inlined]
│     [41] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [42] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [43] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [44] include at ./boot.jl:328 [inlined]
│     [45] include_relative(::Module, ::String) at ./loading.jl:1094
│     [46] include(::Module, ::String) at ./Base.jl:31
│     [47] include(::String) at ./client.jl:431
│     [48] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [49] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [50] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [51] include at ./boot.jl:328 [inlined]
│     [52] include_relative(::Module, ::String) at ./loading.jl:1094
│     [53] include(::Module, ::String) at ./Base.jl:31
│     [54] include(::String) at ./client.jl:431
│     [55] top-level scope at none:5
│     [56] eval(::Module, ::Any) at ./boot.jl:330
│     [57] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ Main.ODEXform ~/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
┌ Error: Exception while generating log record in module SemanticModels.Dubstep at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9
│   exception =
│    this intrinsic must be compiled to be called
│    Stacktrace:
│     [1] call at /root/.julia/packages/Cassette/YCOeN/src/context.jl:447 [inlined]
│     [2] fallback at /root/.julia/packages/Cassette/YCOeN/src/context.jl:445 [inlined]
│     [3] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::String, ::Type, ::Type, ::Ptr{Int64}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:12
│     [4] getindex at ./atomics.jl:347 [inlined]
│     [5] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(getindex), ::Base.Threads.Atomic{Int64}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [6] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [7] lock at ./locks-mt.jl:38 [inlined]
│     [8] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(lock), ::Base.Threads.SpinLock) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [9] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [10] preserve_handle at ./libuv.jl:53 [inlined]
│     [11] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.preserve_handle), ::Task) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [12] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [13] uv_write at ./stream.jl:878 [inlined]
│     [14] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.uv_write), ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [15] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(unsafe_write), ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [16] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [17] unsafe_write at ./io.jl:522 [inlined]
│     [18] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [19] macro expansion at ./gcutils.jl:87 [inlined]
│     [20] write at ./io.jl:545 [inlined]
│     [21] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(write), ::Base.PipeEndpoint, ::Array{UInt8,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [22] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Base.PipeEndpoint, ::Array{UInt8,1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [23] #handle_message#2 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161 [inlined]
│     [24] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(Logging, Symbol("##handle_message#2")), ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [25] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::Function, ::Logging.ConsoleLogger, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [26] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [27] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [28] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [29] macro expansion at ./logging.jl:320 [inlined]
│     [30] construct at /root/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9 [inlined]
│     [31] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(SemanticModels.Dubstep.construct), ::Type{ODEProblem}, ::typeof(sir_ode), ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Array{Float64,1}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [32] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::Type, ::Function, ::Array{Float64,1}, ::Tuple{Float64,Float64}, ::Vararg{Any,N} where N) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [33] g at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:71 [inlined]
│     [34] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [35] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:76 [inlined]
│     [36] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [37] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [38] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [39] include at ./boot.jl:328 [inlined]
│     [40] include_relative(::Module, ::String) at ./loading.jl:1094
│     [41] include(::Module, ::String) at ./Base.jl:31
│     [42] include(::String) at ./client.jl:431
│     [43] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [44] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [45] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [46] include at ./boot.jl:328 [inlined]
│     [47] include_relative(::Module, ::String) at ./loading.jl:1094
│     [48] include(::Module, ::String) at ./Base.jl:31
│     [49] include(::String) at ./client.jl:431
│     [50] top-level scope at none:5
│     [51] eval(::Module, ::Any) at ./boot.jl:330
│     [52] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ SemanticModels.Dubstep ~/.julia/packages/SemanticModels/2GkPI/src/cassette.jl:9
Exception handling log message: [ Info: constructing a vector length 1
┌ Error: Exception while generating log record in module Main.ODEXform at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│   exception =
│    schedule: Task not runnable
│    Stacktrace:
│     [1] error(::String) at ./error.jl:33
│     [2] enq_work(::Task) at ./task.jl:411
│     [3] schedule at ./task.jl:426 [inlined]
│     [4] uv_writecb_task(::Ptr{Nothing}, ::Int32) at ./stream.jl:985
│     [5] process_events at ./libuv.jl:98 [inlined]
│     [6] wait() at ./task.jl:593
│     [7] uv_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:883
│     [8] unsafe_write(::Base.PipeEndpoint, ::Ptr{UInt8}, ::UInt64) at ./stream.jl:931
│     [9] macro expansion at ./io.jl:522 [inlined]
│     [10] write(::Base.PipeEndpoint, ::Array{UInt8,1}) at ./io.jl:545
│     [11] #handle_message#2(::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}, ::typeof(Base.CoreLogging.handle_message), ::Logging.ConsoleLogger, ::Base.CoreLogging.LogLevel, ::String, ::Module, ::String, ::Symbol, ::String, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:161
│     [12] handle_message at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Logging/src/ConsoleLogger.jl:100 [inlined]
│     [13] macro expansion at ./logging.jl:320 [inlined]
│     [14] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(Base.vect), ::Array{Float64,1}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
│     [15] #__init#329 at /root/.julia/packages/OrdinaryDiffEq/RaufD/src/solve.jl:224 [inlined]
│     [16] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(OrdinaryDiffEq, Symbol("##__init#329")), ::Array{Float64,1}, ::Array{Float64,1}, ::Array{Float64,1}, ::Nothing, ::Bool, ::Bool, ::Bool, ::Bool, ::Nothing, ::Bool, ::Bool, ::Float64, ::Float64, ::Float64, ::Bool, ::Bool, ::Rational{Int64}, ::Nothing, ::Nothing, ::Rational{Int64}, ::Int64, ::Int64, ::Int64, ::Rational{Int64}, ::Bool, ::Int64, ::Nothing, ::Nothing, ::Int64, ::typeof(DiffEqBase.ODE_DEFAULT_NORM), ::typeof(opnorm), ::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), ::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Int64, ::String, ::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), ::Nothing, ::Bool, ::Bool, ::Bool, ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7, ::Array{Array{Float64,1},1}, ::Array{Float64,1}, ::Array{Any,1}, ::Type{Val{true}}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [17] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##__init")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7, ::Array{Array{Float64,1},1}, ::Array{Float64,1}, ::Array{Any,1}, ::Type{Val{true}}) at ./none:0
│     [18] #__init at ./none:0 [inlined] (repeats 4 times)
│     [19] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##__init")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(DiffEqBase.__init), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [20] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:alg,),Tuple{Vern7}}, ::Function, ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [21] #__solve#328 at /root/.julia/packages/OrdinaryDiffEq/RaufD/src/solve.jl:4 [inlined]
│     [22] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(OrdinaryDiffEq, Symbol("##__solve#328")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.__solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [23] #__solve at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [24] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [25] #solve_call#442 at /root/.julia/packages/DiffEqBase/E16PL/src/solve.jl:38 [inlined]
│     [26] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("##solve_call#442")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(DiffEqBase.solve_call), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}, ::Vern7) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [27] #solve_call at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [28] overdub at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10 [inlined]
│     [29] #solve#443 at /root/.julia/packages/DiffEqBase/E16PL/src/solve.jl:51 [inlined]
│     [30] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("##solve#443")), ::Base.Iterators.Pairs{Symbol,Vern7,Tuple{Symbol},NamedTuple{(:alg,),Tuple{Vern7}}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [31] #solve at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:519 [inlined]
│     [32] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::getfield(DiffEqBase, Symbol("#kw##solve")), ::NamedTuple{(:alg,),Tuple{Vern7}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [33] overdub(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::Function, ::NamedTuple{(:alg,),Tuple{Vern7}}, ::Function, ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},ODEFunction{true,typeof(sir_ode),UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}},DiffEqBase.StandardODEProblem}) at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:10
│     [34] h at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:77 [inlined]
│     [35] recurse(::Cassette.Context{nametype(SolverCtx),NamedTuple{(:factor, :extras),Tuple{Float64,Array{Float64,1}}},Nothing,getfield(Cassette, Symbol("##PassType#373")),Nothing,Nothing}, ::typeof(h)) at /root/.julia/packages/Cassette/YCOeN/src/overdub.jl:0
│     [36] perturb at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:92 [inlined]
│     [37] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:99
│     [38] include at ./boot.jl:328 [inlined]
│     [39] include_relative(::Module, ::String) at ./loading.jl:1094
│     [40] include(::Module, ::String) at ./Base.jl:31
│     [41] include(::String) at ./client.jl:431
│     [42] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [43] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
│     [44] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:18
│     [45] include at ./boot.jl:328 [inlined]
│     [46] include_relative(::Module, ::String) at ./loading.jl:1094
│     [47] include(::Module, ::String) at ./Base.jl:31
│     [48] include(::String) at ./client.jl:431
│     [49] top-level scope at none:5
│     [50] eval(::Module, ::Any) at ./boot.jl:330
│     [51] exec_options(::Base.JLOptions) at ./client.jl:271
└ @ Main.ODEXform ~/.julia/packages/SemanticModels/2GkPI/test/transform/ode.jl:17
s(100) = [0.41218651105899023, 0.1496991951264569, 0.43811429381455286]
(traces[i]).factor = 0.0
(traces[i]).extras[5] = -0.0
sum((traces[i]).extras) / length((traces[i]).extras) = -0.0
s(100) = [0.4005388762471866, 0.14920821365092884, 0.45025291010188456]
(traces[i]).factor = 0.01
(traces[i]).extras[5] = -9.912173929800464e-6
sum((traces[i]).extras) / length((traces[i]).extras) = -3.232801586216005e-5
s(100) = [0.34942985814171795, 0.153550449061602, 0.4970196927966799]
(traces[i]).factor = 0.05
(traces[i]).extras[5] = -4.956573806788313e-5
sum((traces[i]).extras) / length((traces[i]).extras) = -0.00016287679049702017
s(100) = [0.2921865934572505, 0.15333427043745704, 0.5544791361052926]
(traces[i]).factor = 0.1
(traces[i]).extras[5] = -9.914364440400845e-5
sum((traces[i]).extras) / length((traces[i]).extras) = -0.00035060604625442975
Test Summary:            | Pass  Total
Running transform/ode.jl |    4      4
┌ Info: Running example: 
└   file = "agentbased.jl"
┌ Info: Running example: 
└   file = "agentgraft.jl"
Running Agent Based Simulation Augmentation Demo
================================================
demo parameters:
	samples=7
	nsteps=10

Running basic model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:I, :I, :S, :R, :S, :S, :R, :R, :I, :I, :S, :R, :I, :R, :R, :R, :I, :S, :S, :R]
newsam.agents = Symbol[:S, :I, :S, :S, :S, :S, :S, :I, :R, :R, :S, :S, :S, :S, :S, :R, :R, :R, :S, :S]
newsam.agents = Symbol[:S, :I, :S, :S, :R, :S, :I, :S, :S, :S, :I, :I, :R, :S, :S, :I, :S, :I, :S, :R]
newsam.agents = Symbol[:S, :S, :R, :R, :S, :I, :S, :R, :I, :R, :S, :R, :S, :S, :S, :R, :S, :S, :S, :S]
newsam.agents = Symbol[:S, :I, :I, :R, :I, :S, :I, :R, :S, :S, :S, :I, :I, :I, :S, :I, :R, :I, :I, :S]
newsam.agents = Symbol[:I, :S, :S, :S, :I, :S, :S, :S, :I, :S, :I, :S, :I, :I, :S, :I, :I, :I, :I, :S]
newsam.agents = Symbol[:I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I]

The system states are Any[:(:S), :(:I), :(:R)]

Adding un estado de los muertos

The system states are Any[:(:S), :(:I), :(:R), :(:D)]

There is no resurrection in this model

Infected individuals recover or die in one step
m[:I] = :(x...->begin
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:74 =#
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:75 =#
          roll = mod(rand(Int), 3)
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:76 =#
          if roll == 1
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:77 =#
              return :R
          elseif #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:78 =# roll == 2
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:79 =#
              return :D
          else
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:81 =#
              return :I
          end
      end)

Running SIRD model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:R, :D, :R, :D, :R, :D, :I, :D, :S, :R, :D, :D, :D, :D, :S, :S, :S, :D, :S, :I]
newsam.agents = Symbol[:D, :S, :D, :S, :D, :D, :D, :S, :S, :D, :D, :S, :D, :D, :R, :R, :D, :S, :D, :D]
newsam.agents = Symbol[:S, :I, :S, :S, :D, :S, :S, :D, :S, :D, :D, :S, :S, :D, :D, :S, :R, :S, :S, :S]
newsam.agents = Symbol[:R, :S, :D, :S, :D, :D, :R, :S, :D, :D, :R, :D, :D, :I, :D, :S, :S, :D, :D, :D]
newsam.agents = Symbol[:D, :D, :S, :D, :S, :D, :S, :S, :D, :D, :D, :S, :S, :S, :S, :I, :S, :S, :D, :S]
newsam.agents = Symbol[:S, :D, :S, :S, :S, :D, :S, :D, :D, :S, :S, :S, :S, :D, :S, :S, :S, :S, :S, :S]
newsam.agents = Symbol[:R, :S, :D, :D, :D, :S, :S, :D, :S, :D, :D, :D, :D, :D, :S, :D, :D, :S, :D, :S]

Adding population growth to this model
stepr = :(function tick!(sm::StateModel)
      #= none:57 =#
      sm.loads = map((s->begin
                      #= none:57 =#
                      stateload(sm, s)
                  end), sm.states)
  end)
------------------------
stepr = :(function tick!(sm::StateModel)
      #= none:57 =#
      sm.loads = map((s->begin
                      #= none:57 =#
                      stateload(sm, s)
                  end), sm.states)
      push!(sm.agents, :S)
  end)

Running growth model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:D, :D, :S, :R, :S, :D, :R, :D, :D, :R, :I, :D, :S, :S, :D, :S, :D, :D, :D, :D, :D, :S, :D, :S, :S, :D, :S, :S, :S, :S]
newsam.agents = Symbol[:S, :R, :D, :S, :D, :D, :I, :S, :S, :S, :D, :S, :S, :S, :D, :S, :S, :D, :S, :S, :D, :D, :D, :R, :I, :D, :I, :S, :S, :S]
newsam.agents = Symbol[:D, :D, :S, :S, :S, :D, :D, :S, :D, :S, :D, :S, :S, :S, :S, :D, :S, :S, :S, :D, :S, :D, :S, :S, :S, :I, :D, :S, :S, :S]
newsam.agents = Symbol[:S, :S, :S, :S, :R, :D, :S, :D, :D, :S, :S, :S, :R, :S, :D, :S, :D, :S, :S, :R, :D, :S, :D, :D, :D, :S, :D, :S, :S, :S]
newsam.agents = Symbol[:S, :D, :S, :D, :D, :D, :D, :D, :S, :D, :S, :I, :S, :D, :D, :I, :R, :D, :D, :S, :R, :R, :S, :S, :I, :D, :S, :S, :I, :S]
newsam.agents = Symbol[:S, :R, :R, :D, :D, :I, :R, :D, :S, :S, :D, :S, :D, :I, :S, :D, :S, :D, :D, :D, :S, :D, :S, :S, :R, :S, :S, :S, :S, :S]
newsam.agents = Symbol[:D, :D, :S, :S, :D, :D, :D, :D, :D, :S, :S, :D, :I, :R, :D, :D, :D, :S, :I, :S, :S, :S, :R, :S, :R, :S, :S, :S, :S, :S]

Model	 Counts
-----	 ------
basic	Pair{Symbol,Int64}[:S => 6, :I => 6, :R => 8]
basic	Pair{Symbol,Int64}[:S => 13, :I => 2, :R => 5]
basic	Pair{Symbol,Int64}[:S => 11, :I => 6, :R => 3]
basic	Pair{Symbol,Int64}[:S => 12, :I => 2, :R => 6]
basic	Pair{Symbol,Int64}[:S => 7, :I => 10, :R => 3]
basic	Pair{Symbol,Int64}[:S => 10, :I => 10, :R => 0]
basic	Pair{Symbol,Int64}[:S => 0, :I => 20, :R => 0]
sird	Pair{Symbol,Int64}[:S => 5, :I => 2, :R => 4, :D => 9]
sird	Pair{Symbol,Int64}[:S => 6, :I => 0, :R => 2, :D => 12]
sird	Pair{Symbol,Int64}[:S => 12, :I => 1, :R => 1, :D => 6]
sird	Pair{Symbol,Int64}[:S => 5, :I => 1, :R => 3, :D => 11]
sird	Pair{Symbol,Int64}[:S => 11, :I => 1, :R => 0, :D => 8]
sird	Pair{Symbol,Int64}[:S => 15, :I => 0, :R => 0, :D => 5]
sird	Pair{Symbol,Int64}[:S => 7, :I => 0, :R => 1, :D => 12]
growth	Pair{Symbol,Int64}[:S => 12, :I => 1, :R => 3, :D => 14]
growth	Pair{Symbol,Int64}[:S => 15, :I => 3, :R => 2, :D => 10]
growth	Pair{Symbol,Int64}[:S => 19, :I => 1, :R => 0, :D => 10]
growth	Pair{Symbol,Int64}[:S => 17, :I => 0, :R => 3, :D => 10]
growth	Pair{Symbol,Int64}[:S => 11, :I => 4, :R => 3, :D => 12]
growth	Pair{Symbol,Int64}[:S => 14, :I => 2, :R => 4, :D => 10]
growth	Pair{Symbol,Int64}[:S => 14, :I => 2, :R => 3, :D => 11]

Model	 Count 	 Num Unhealthy 	 Mean Healthy %
-----	 ------	 --------------	  --------------
growth	   7	  12.857	   48.571
sird	   7	  9.7143	   43.571
basic	   7	  8.0   	   42.143
┌ Info: Running example: 
└   file = "modelmacro.jl"
WARNING: replacing module StatsMod.
┌ Info: Running example: 
└   file = "monomial_regression.jl"
m.f.args[2] = quote
    #= /root/.julia/packages/SemanticModels/2GkPI/test/monomial_regression.jl:31 =#
    return a * x ^ 4
end
MonomialRegressionModel(
  f=:(function f(a, x)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/monomial_regression.jl:31 =#
      return a * x ^ 4
  end),
  objective=:loss,
  coefficient=:a,
  interval=:(a₀ = [-1, 1]))
sol.ahat = (0.07675560563802719, 0.07675561308860779)
sol.loss(sol.ahat[1]) = 1.272917193612105
(m.f.args[2]).args[2] = :(return a * x ^ 3)
WARNING: replacing module Regression.
sol.ahat[1] = -0.15113633126020432
sol.loss(sol.ahat[1]) = 7.3042780214633485
(m.f.args[2]).args[2] = WARNING: replacing module Regression.
:(return a * x ^ 2)
sol.ahat[1] = 0.5053171217441559
sol.loss(sol.ahat[1]) = 0.13138597231804847
(m.f.args[2]).args[2] = :(return a * x ^ 1)
WARNING: replacing module Regression.
WARNING: replacing module Regression.
sol.ahat[1] = -0.5334461033344269
sol.loss(sol.ahat[1]) = 12.085208207912629
(m.f.args[2]).args[2] = :(return a * x ^ 0)
sol.ahat[1] = 0.6825762614607811
sol.loss(sol.ahat[1]) = 11.210639037376852
(m.f.args[2]).args[2] = :(return a * x ^ -1)
WARNING: replacing module Regression.
sol.ahat[1] = -0.0009050816297531128
sol.loss(sol.ahat[1]) = 15.868576720307619

Results:


i	p	â		l⋆
-----------------------------
0	4	0.0767556	1.2729172
1	3	-0.1511363	7.304278
2	2	0.5053171	0.131386
3	1	-0.5334461	12.0852082
4	0	0.6825763	11.210639
5	-1	-0.0009051	15.8685767
Model order 2 is the best with a=0.5053171217441559 and loss 0.13138597231804847
┌ Info: Running example: 
└   file = "multivariate_regression.jl"
WARNING: could not import ModelTools.AbstractProblem into Main
m = MultivariateLsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
poly((one(Pow) ^ 4)(deepcopy(m), 1)) = :(a .* x .^ 4 .+ b .* y .^ 0)
poly((one(Pow) ^ 4)(deepcopy(m), 2)) = :(a .* x .^ 0 .+ b .* y .^ 4)
T₁ = Product((one(Pow), zero(Pow))) = (Pow(1), Pow(0))
T₂ = Product((zero(Pow), one(Pow))) = (Pow(0), Pow(1))
(T₁ ^ 2 ∘ T₂ ^ 3)(deepcopy(m)) = MultivariateLsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
WARNING: replacing module Regression.
LoadError("/root/.julia/packages/SemanticModels/2GkPI/test/multivariate_regression.jl", 250, ErrorException("val already in a list"))
┌ Info: Error running 
└   file = "multivariate_regression.jl"
Test all examples: Test Failed at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:41
  Expression: true == false
   Evaluated: true == false
Stacktrace:
 [1] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:41
 [2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
 [3] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:33
┌ Info: Running example: 
└   file = "polynomial_regression.jl"
WARNING: replacing module Regression.
LoadError("/root/.julia/packages/SemanticModels/2GkPI/test/polynomial_regression.jl", 93, ┌ Info: Error running 
└   file = "polynomial_regression.jl"
ErrorException("val already in a list"))
Test all examples: Test Failed at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:41
  Expression: true == false
   Evaluated: true == false
Stacktrace:
 [1] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:41
 [2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
 [3] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:33
┌ Info: Running example: 
└   file = "workflow.jl"
Running Agent Based Simulation Augmentation Demo
================================================
demo parameters:
	samples=100
	nsteps=25

Running basic model
WARNING: replacing module AgentModels.
AgentModels = Main.AgentModels
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length(finalcounts) = 100
WARNING: replacing module Regression.
┌ Info: Error running 
└   file = "workflow.jl"
LoadError("/root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl", 104, ErrorException("val already in a list"))
Test all examples: Test Failed at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:41
  Expression: true == false
   Evaluated: true == false┌ Info: Running example: 
└   file = "pseudo_polynomial_regression.jl"

Stacktrace:
 [1] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:41
 [2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
 [3] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:33
LoadError("/root/.julia/packages/SemanticModels/2GkPI/test/pseudo_polynomial_regression.jl", 9, ErrorException("val already in a list"))
Test all examples: Test Failed at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:41
  Expression: true == false
   Evaluated: true == false┌ Info: Error running 
└   file = "pseudo_polynomial_regression.jl"
┌ Info: Running example: 
└   file = "odegraft.jl"

Stacktrace:
 [1] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:41
 [2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Test/src/Test.jl:1113
 [3] top-level scope at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:33
matches = Expr[:(ODEProblem(seir_ode, init, tspan, pram))]
matches = Expr[:(ODEProblem(micro_1, init, tspan, parms))]
model1.expr = :(module SEIRmodel
  #= none:16 =#
  #= none:17 =#
  using DifferentialEquations
  #= none:20 =#
  function ##seir_ode#371(dY, Y, p, t, r)
      N = sum(Y)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = r * (1 - S / N) * S + ((μ - β * S * I) - μ * S)
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end
  #= none:44 =#
  function main(λ)
      #= none:46 =#
      pram = [520 / 365, 1 / 60, 1 / 30, 774835 / (65640000 * 365)]
      #= none:48 =#
      init = [0.8, 0.1, 0.1]
      #= none:49 =#
      tspan = (0.0, 365.0)
      #= none:51 =#
      seir_prob = ODEProblem(((du, u, p, t)->begin
                      #= /root/.julia/packages/SemanticModels/2GkPI/test/odegraft.jl:85 =#
                      ##seir_ode#371(du, u, p, t, λ)
                  end), init, tspan, pram)
      #= none:53 =#
      sol = solve(seir_prob)
      #= none:54 =#
      return sol
  end
  end)
WARNING: replacing module SEIRmodel.
S	I	R
4.1396833928109084e-5	1.5129405629448422	1.2314283588495585
3.319438797150202e-5	1.7926580206599978	1.4394889794159766
2.730736219785036e-5	2.096233539859458	1.6601779149317446
2.2813032119616296e-5	2.424996355132723	1.893723431103989
1.944287409294006e-5	2.778354951733437	2.13895239747031
1.695225381906384e-5	3.1545278797461362	2.3937933230403843
Test Summary:     | Pass  Fail  Total
Test all examples |    5     4      9
ERROR: LoadError: Some tests did not pass: 5 passed, 4 failed, 0 errored, 0 broken.
in expression starting at /root/.julia/packages/SemanticModels/2GkPI/test/runtests.jl:32

 Resolving package versions...
 Installed PlotThemes ────────────────── v1.0.0
 Installed URIParser ─────────────────── v0.4.0
 Installed SortingAlgorithms ─────────── v0.3.1
 Installed CanonicalTraits ───────────── v0.1.0
 Installed DiffResults ───────────────── v0.0.4
 Installed MetaGraphs ────────────────── v0.6.4
 Installed Arpack ────────────────────── v0.3.1
 Installed LazyArrays ────────────────── v0.14.10
 Installed JLD2 ──────────────────────── v0.1.9
 Installed DataStructures ────────────── v0.17.6
 Installed Unitful ───────────────────── v0.18.0
 Installed NLsolve ───────────────────── v4.2.0
 Installed Cassette ──────────────────── v0.2.6
 Installed LineSearches ──────────────── v7.0.1
 Installed StaticArrays ──────────────── v0.11.1
 Installed FileIO ────────────────────── v1.1.0
 Installed Roots ─────────────────────── v0.8.3
 Installed DocStringExtensions ───────── v0.8.1
 Installed CategoricalArrays ─────────── v0.7.3
 Installed QuadGK ────────────────────── v2.1.1
 Installed Compat ────────────────────── v2.2.0
 Installed StatsFuns ─────────────────── v0.9.0
 Installed FunctionWrappers ──────────── v1.0.0
 Installed InvertedIndices ───────────── v1.0.0
 Installed Parsers ───────────────────── v0.3.10
 Installed NLSolversBase ─────────────── v7.5.0
 Installed BinaryProvider ────────────── v0.5.8
 Installed CSV ───────────────────────── v0.5.18
 Installed IterTools ─────────────────── v1.3.0
 Installed SemanticModels ────────────── v0.3.0
 Installed BoundaryValueDiffEq ───────── v2.3.0
 Installed MacroTools ────────────────── v0.5.2
 Installed Distributions ─────────────── v0.21.9
 Installed Rmath ─────────────────────── v0.5.1
 Installed Missings ──────────────────── v0.4.3
 Installed TableTraits ───────────────── v1.0.0
 Installed Parameters ────────────────── v0.12.0
 Installed TreeViews ─────────────────── v0.3.0
 Installed StochasticDiffEq ──────────── v6.15.0
 Installed Plots ─────────────────────── v0.28.2
 Installed OrderedCollections ────────── v1.1.0
 Installed FixedPointNumbers ─────────── v0.6.1
 Installed SpecialFunctions ──────────── v0.8.0
 Installed Showoff ───────────────────── v0.3.1
 Installed ConstructionBase ──────────── v1.0.0
 Installed JSON ──────────────────────── v0.21.0
 Installed PlotUtils ─────────────────── v0.6.1
 Installed Catlab ────────────────────── v0.3.0
 Installed LightGraphs ───────────────── v1.3.0
 Installed CommonSubexpressions ──────── v0.2.0
 Installed Match ─────────────────────── v1.0.2
 Installed Petri ─────────────────────── v0.1.2
 Installed ColorTypes ────────────────── v0.8.0
 Installed ArrayLayouts ──────────────── v0.1.5
 Installed PrettyPrint ───────────────── v0.1.0
 Installed BinDeps ───────────────────── v0.8.10
 Installed RecipesBase ───────────────── v0.7.0
 Installed UnionFind ─────────────────── v0.1.0
 Installed Distances ─────────────────── v0.8.2
 Installed DataAPI ───────────────────── v1.1.0
 Installed DataFramesMeta ────────────── v0.5.0
 Installed Tables ────────────────────── v0.2.11
 Installed GraphDataFrameBridge ──────── v0.2.1
 Installed ForwardDiff ───────────────── v0.10.7
 Installed NaNMath ───────────────────── v0.3.3
 Installed ShiftedArrays ─────────────── v1.0.0
 Installed Adapt ─────────────────────── v1.0.0
 Installed DataValueInterfaces ───────── v1.0.0
 Installed DiffEqDiffTools ───────────── v1.5.0
 Installed Documenter ────────────────── v0.24.2
 Installed SparseDiffTools ───────────── v1.0.0
 Installed DiffRules ─────────────────── v0.1.0
 Installed StatsModels ───────────────── v0.6.7
 Installed Colors ────────────────────── v0.9.6
 Installed GeneralizedGenerated ──────── v0.2.0
 Installed ModelingToolkit ───────────── v0.6.4
 Installed LaTeXStrings ──────────────── v1.0.3
 Installed ArrayInterface ────────────── v2.0.0
 Installed Calculus ──────────────────── v0.5.1
 Installed ArnoldiMethod ─────────────── v0.0.4
 Installed JuliaVariables ────────────── v0.2.0
 Installed DiffEqBase ────────────────── v6.7.0
 Installed ResettableStacks ──────────── v1.0.0
 Installed Inflate ───────────────────── v0.1.1
 Installed Requires ──────────────────── v0.5.2
 Installed GLM ───────────────────────── v1.3.4
 Installed Measures ──────────────────── v0.3.0
 Installed FilePathsBase ─────────────── v0.7.0
 Installed DiffEqNoiseProcess ────────── v3.6.0
 Installed AutoHashEquals ────────────── v0.2.0
 Installed MuladdMacro ───────────────── v0.2.1
 Installed CodecZlib ─────────────────── v0.6.0
 Installed IteratorInterfaceExtensions ─ v1.0.0
 Installed Contour ───────────────────── v0.5.1
 Installed Latexify ──────────────────── v0.12.3
 Installed GeometryTypes ─────────────── v0.7.6
 Installed SimpleTraits ──────────────── v0.9.1
 Installed RecursiveArrayTools ───────── v1.2.0
 Installed RandomNumbers ─────────────── v1.3.0
 Installed VertexSafeGraphs ──────────── v0.1.0
 Installed BandedMatrices ────────────── v0.14.2
 Installed PooledArrays ──────────────── v0.5.2
 Installed DataFrames ────────────────── v0.19.4
 Installed GR ────────────────────────── v0.44.0
 Installed TranscodingStreams ────────── v0.9.5
 Installed WeakRefStrings ────────────── v0.6.1
 Installed FFMPEG ────────────────────── v0.2.3
 Installed NameResolution ────────────── v0.1.3
 Installed RecursiveFactorization ────── v0.1.0
 Installed FillArrays ────────────────── v0.8.2
 Installed PDMats ────────────────────── v0.9.10
 Installed LightXML ──────────────────── v0.8.1
 Installed Reexport ──────────────────── v0.2.0
 Installed IterativeSolvers ──────────── v0.8.1
 Installed StatsBase ─────────────────── v0.32.0
 Installed MLStyle ───────────────────── v0.3.1
  Updating `~/.julia/environments/v1.3/Project.toml`
  [f5ac2a72] + SemanticModels v0.3.0
  Updating `~/.julia/environments/v1.3/Manifest.toml`
  [79e6a3ab] + Adapt v1.0.0
  [ec485272] + ArnoldiMethod v0.0.4
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  [764a87c0] + BoundaryValueDiffEq v2.3.0
  [336ed68f] + CSV v0.5.18
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  [ae5879a3] + ResettableStacks v1.0.0
  [79098fc4] + Rmath v0.5.1
  [f2b01f46] + Roots v0.8.3
  [f5ac2a72] + SemanticModels v0.3.0
  [1277b4bf] + ShiftedArrays v1.0.0
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  [30578b45] + URIParser v0.4.0
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  [1986cc42] + Unitful v0.18.0
  [19fa3120] + VertexSafeGraphs v0.1.0
  [ea10d353] + WeakRefStrings v0.6.1
  [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 
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  [9a3f8284] + Random 
  [ea8e919c] + SHA 
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  [1a1011a3] + SharedArrays 
  [6462fe0b] + Sockets 
  [2f01184e] + SparseArrays 
  [10745b16] + Statistics 
  [4607b0f0] + SuiteSparse 
  [8dfed614] + Test 
  [cf7118a7] + UUIDs 
  [4ec0a83e] + Unicode 
  Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
  Building Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
  Building GR ──────────────→ `~/.julia/packages/GR/oiZD3/deps/build.log`
  Building FFMPEG ──────────→ `~/.julia/packages/FFMPEG/bkWgb/deps/build.log`
  Building Plots ───────────→ `~/.julia/packages/Plots/2KhB2/deps/build.log`
  Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
  Building CodecZlib ───────→ `~/.julia/packages/CodecZlib/5t9zO/deps/build.log`
  Building LightXML ────────→ `~/.julia/packages/LightXML/W8FVT/deps/build.log`
   Testing SemanticModels
 Resolving package versions...
 Installed ExponentialUtilities ─── v1.5.1
 Installed DifferentialEquations ── v6.9.0
 Installed OptimBase ────────────── v2.0.0
 Installed LsqFit ───────────────── v0.8.1
 Installed GenericSVD ───────────── v0.2.2
 Installed Polynomials ──────────── v0.6.0
 Installed Sundials ─────────────── v3.8.1
 Installed DiffEqFinancial ──────── v2.2.1
 Installed SteadyStateDiffEq ────── v1.5.0
 Installed DiffEqJump ───────────── v6.3.0
 Installed PoissonRandom ────────── v0.4.0
 Installed DimensionalPlotRecipes ─ v1.0.0
 Installed DelayDiffEq ──────────── v5.18.0
 Installed MultiScaleArrays ─────── v1.5.0
 Installed DiffEqPhysics ────────── v3.3.0
 Installed OrdinaryDiffEq ───────── v5.25.0
 Installed DiffEqCallbacks ──────── v2.10.0
  Building Sundials → `~/.julia/packages/Sundials/MllUG/deps/build.log`
    Status `/tmp/jl_5Ko7ic/Manifest.toml`
  [79e6a3ab] Adapt v1.0.0
  [ec485272] ArnoldiMethod v0.0.4
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  [a603d957] CanonicalTraits v0.1.0
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  [8162dcfd] PrettyPrint v0.1.0
  [1fd47b50] QuadGK v2.1.1
  [e6cf234a] RandomNumbers v1.3.0
  [3cdcf5f2] RecipesBase v0.7.0
  [731186ca] RecursiveArrayTools v1.2.0
  [f2c3362d] RecursiveFactorization v0.1.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v0.5.2
  [ae5879a3] ResettableStacks v1.0.0
  [79098fc4] Rmath v0.5.1
  [f2b01f46] Roots v0.8.3
  [f5ac2a72] SemanticModels v0.3.0
  [1277b4bf] ShiftedArrays v1.0.0
  [992d4aef] Showoff v0.3.1
  [699a6c99] SimpleTraits v0.9.1
  [a2af1166] SortingAlgorithms v0.3.1
  [47a9eef4] SparseDiffTools v1.0.0
  [276daf66] SpecialFunctions v0.8.0
  [90137ffa] StaticArrays v0.11.1
  [2913bbd2] StatsBase v0.32.0
  [4c63d2b9] StatsFuns v0.9.0
  [3eaba693] StatsModels v0.6.7
  [9672c7b4] SteadyStateDiffEq v1.5.0
  [789caeaf] StochasticDiffEq v6.15.0
  [c3572dad] Sundials v3.8.1
  [3783bdb8] TableTraits v1.0.0
  [bd369af6] Tables v0.2.11
  [3bb67fe8] TranscodingStreams v0.9.5
  [a2a6695c] TreeViews v0.3.0
  [30578b45] URIParser v0.4.0
  [99c6138d] UnionFind v0.1.0
  [1986cc42] Unitful v0.18.0
  [19fa3120] VertexSafeGraphs v0.1.0
  [ea10d353] WeakRefStrings v0.6.1
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [9fa8497b] Future  [`@stdlib/Future`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [1a1011a3] SharedArrays  [`@stdlib/SharedArrays`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [4607b0f0] SuiteSparse  [`@stdlib/SuiteSparse`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]
expr = Parsers.parsefile("../examples/epicookbook/notebooks/SimpleDeterministicModels/SIRModel.jl") = :(module SIRModel
  #= none:15 =#
  #= none:16 =#
  using DifferentialEquations
  #= none:18 =#
  function sir_ode(du, u, p, t)
      #= none:20 =#
      β = p[1]
      #= none:22 =#
      γ = p[2]
      #= none:25 =#
      S = u[1]
      #= none:27 =#
      I = u[2]
      #= none:29 =#
      du[1] = -β * S * I
      #= none:30 =#
      du[2] = β * S * I - γ * I
      #= none:31 =#
      du[3] = γ * I
  end
  #= none:35 =#
  pram = [0.1, 0.05]
  #= none:37 =#
  init = [0.99, 0.01, 0.0]
  #= none:38 =#
  tspan = (0.0, 200.0)
  #= none:40 =#
  sir_prob = ODEProblem(sir_ode, init, tspan, pram)
  #= none:42 =#
  sir_sol = solve(sir_prob, saveat=0.1)
  #= none:45 =#
  using Plots
  #= none:46 =#
  plot(sir_sol, xlabel="Time", ylabel="Number")
  #= none:48 =#
  function sir_ode2(du, u, p, t)
      #= none:49 =#
      (S, I, R) = u
      #= none:50 =#
      (b, g) = p
      #= none:51 =#
      du[1] = -b * S * I
      #= none:52 =#
      du[2] = b * S * I - g * I
      #= none:53 =#
      du[3] = g * I
  end
  #= none:55 =#
  parms = [0.1, 0.05]
  #= none:56 =#
  init = [0.99, 0.01, 0.0]
  #= none:57 =#
  tspan = (0.0, 200.0)
  #= none:58 =#
  sir_prob2 = ODEProblem(sir_ode2, init, tspan, parms)
  #= none:59 =#
  sir_sol = solve(sir_prob2, saveat=0.1)
  end)
[ Info: unknown expr type for metacollector
[ Info: unknown expr type for metacollector
[ Info: unknown expr type for metacollector
expr = :(function sir_ode(du, u, p, t)
      #= none:20 =#
      β = p[1]
      #= none:22 =#
      γ = p[2]
      #= none:25 =#
      S = u[1]
      #= none:27 =#
      I = u[2]
      #= none:29 =#
      du[1] = -β * S * I
      #= none:30 =#
      du[2] = β * S * I - γ * I
      #= none:31 =#
      du[3] = γ * I
  end)
expr = :(plot(sir_sol, xlabel="Time", ylabel="Number"))
expr = :(function sir_ode2(du, u, p, t)
      #= none:49 =#
      (S, I, R) = u
      #= none:50 =#
      (b, g) = p
      #= none:51 =#
      du[1] = -b * S * I
      #= none:52 =#
      du[2] = b * S * I - g * I
      #= none:53 =#
      du[3] = g * I
  end)
[ Info: unknown expr type for metacollector
expr = Parsers.parsefile("../examples/epicookbook/notebooks/SimpleDeterministicModels/SEIRmodel.jl") = :(module Modeling
  #= none:1 =#
  #= none:17 =#
  using DifferentialEquations
  #= none:20 =#
  function seir_ode(dY, Y, p, t)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = (μ - β * S * I) - μ * S
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end
  #= none:45 =#
  pram = [520 / 365, 1 / 60, 1 / 30, 774835 / (65640000 * 365)]
  #= none:47 =#
  init = [0.8, 0.1, 0.1]
  #= none:48 =#
  tspan = (0.0, 365.0)
  #= none:50 =#
  seir_prob = ODEProblem(seir_ode, init, tspan, pram)
  #= none:52 =#
  sol = solve(seir_prob)
  #= none:54 =#
  using Plots
  #= none:56 =#
  va = VectorOfArray(sol.u)
  #= none:57 =#
  y = convert(Array, va)
  #= none:58 =#
  R = (ones(size(sol.t)))' - sum(y, dims=1)
  #= none:60 =#
  plot(sol.t, [y', R'], xlabel="Time", ylabel="Proportion")
  end)
[ Info: unknown expr type for metacollector
expr = :(function seir_ode(dY, Y, p, t)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = (μ - β * S * I) - μ * S
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end)
expr = :(plot(sol.t, [y', R'], xlabel="Time", ylabel="Proportion"))
((seirc.fc.defs[1])[1]).args[1] == :seir_ode = true
((seirc.fc.defs[1])[1]).args == [:seir_ode, :dY, :Y, :p, :t] = true
Test Summary:    | Pass  Total
Running parse.jl |    3      3
[ Info: Tracing implementation with construct call
[ Info: constructing a vector
[ Info: constructing a vector
[ Info: constructing with type construct
[ Info: constructing a model Main.TraceTest.ODEProblem
[ Info: constructed model: Main.TraceTest.ODEProblem{typeof(Main.TraceTest.sir_ode2),Array{Float64,1},Tuple{Float64,Float64},Array{Float64,1}}(Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05])
[ Info: Tracing implementation without construct call
[ Info: constructing a vector
[ Info: constructing a vector
[ Info: Trace step for construct call
trace1.trace[4] = (SemanticModels.Dubstep.construct, (Main.TraceTest.ODEProblem, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]))
[ Info: Trace step for direct apply type
trace2.trace[4] = (Main.TraceTest.ODEProblem, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]) => Any[(Core.apply_type, (Main.TraceTest.ODEProblem, typeof(Main.TraceTest.sir_ode2), Array{Float64,1}, Tuple{Float64,Float64}, Array{Float64,1})), (Main.TraceTest.ODEProblem{typeof(Main.TraceTest.sir_ode2),Array{Float64,1},Tuple{Float64,Float64},Array{Float64,1}}, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]) => Any[(Core.apply_type, (Main.TraceTest.ODEProblem, typeof(Main.TraceTest.sir_ode2), Array{Float64,1}, Tuple{Float64,Float64}, Array{Float64,1})), (convert, typeof(Main.TraceTest.sir_ode2), Main.TraceTest.sir_ode2) => Any[], (convert, Array{Float64,1}, [0.99, 0.01, 0.0]) => Any[(isa, [0.99, 0.01, 0.0], Array{Float64,1}) => Any[]], (convert, Array{Float64,1}, [0.1, 0.05]) => Any[(isa, [0.1, 0.05], Array{Float64,1}) => Any[]]]]
Test Summary:       | Pass  Total
Running cassette.jl |    9      9
[ Info: constructing a model ODEProblem
 25.334634 seconds (31.32 M allocations: 1.501 GiB, 4.43% gc time)
[ Info: constructing a model ODEProblem
  0.000886 seconds (513 allocations: 45.844 KiB)
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
Exception handling log message: [ Info: constructing a vector length 1
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
Exception handling log message: [ Info: constructing a vector length 1
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
Exception handling log message: [ Info: constructing a vector length 1
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
Exception handling log message: [ Info: constructing a vector length 1
s(100) = [0.41218651105899023, 0.1496991951264569, 0.43811429381455286]
(traces[i]).factor = 0.0
(traces[i]).extras[5] = -0.0
sum((traces[i]).extras) / length((traces[i]).extras) = -0.0
s(100) = [0.4005388762471866, 0.14920821365092884, 0.45025291010188456]
(traces[i]).factor = 0.01
(traces[i]).extras[5] = -9.912173929800464e-6
sum((traces[i]).extras) / length((traces[i]).extras) = -3.232801586216005e-5
s(100) = [0.34942985814171795, 0.153550449061602, 0.4970196927966799]
(traces[i]).factor = 0.05
(traces[i]).extras[5] = -4.956573806788313e-5
sum((traces[i]).extras) / length((traces[i]).extras) = -0.00016287679049702017
s(100) = [0.2921865934572505, 0.15333427043745704, 0.5544791361052926]
(traces[i]).factor = 0.1
(traces[i]).extras[5] = -9.914364440400845e-5
sum((traces[i]).extras) / length((traces[i]).extras) = -0.00035060604625442975
Test Summary:            | Pass  Total
Running transform/ode.jl |    4      4
┌ Info: Running example: 
└   file = "agentbased.jl"
┌ Info: Running example: 
└   file = "agentgraft.jl"
Running Agent Based Simulation Augmentation Demo
================================================
demo parameters:
	samples=7
	nsteps=10

Running basic model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:R, :R, :S, :I, :S, :I, :I, :R, :R, :S, :S, :R, :R, :S, :S, :I, :S, :S, :I, :I]
newsam.agents = Symbol[:R, :I, :I, :S, :I, :S, :I, :R, :I, :I, :R, :S, :R, :S, :R, :R, :R, :S, :R, :R]
newsam.agents = Symbol[:I, :R, :R, :I, :I, :R, :S, :I, :I, :R, :I, :S, :I, :R, :I, :I, :I, :I, :I, :I]
newsam.agents = Symbol[:S, :I, :S, :S, :R, :R, :S, :S, :S, :S, :S, :S, :S, :R, :S, :S, :S, :S, :S, :R]
newsam.agents = Symbol[:I, :S, :S, :S, :S, :S, :S, :S, :S, :I, :S, :S, :S, :I, :S, :R, :R, :S, :I, :S]
newsam.agents = Symbol[:I, :R, :I, :S, :I, :R, :S, :R, :I, :S, :R, :S, :S, :S, :S, :R, :S, :I, :R, :R]
newsam.agents = Symbol[:I, :I, :I, :I, :I, :R, :I, :I, :I, :I, :I, :I, :I, :I, :I, :S, :I, :I, :I, :S]

The system states are Any[:(:S), :(:I), :(:R)]

Adding un estado de los muertos

The system states are Any[:(:S), :(:I), :(:R), :(:D)]

There is no resurrection in this model

Infected individuals recover or die in one step
m[:I] = :(x...->begin
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:74 =#
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:75 =#
          roll = mod(rand(Int), 3)
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:76 =#
          if roll == 1
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:77 =#
              return :R
          elseif #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:78 =# roll == 2
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:79 =#
              return :D
          else
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:81 =#
              return :I
          end
      end)

Running SIRD model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:D, :I, :D, :D, :S, :I, :S, :D, :D, :S, :S, :R, :S, :D, :D, :S, :S, :D, :D, :D]
newsam.agents = Symbol[:D, :S, :S, :D, :D, :I, :D, :S, :D, :R, :D, :D, :R, :S, :S, :S, :S, :D, :S, :D]
newsam.agents = Symbol[:D, :I, :S, :S, :D, :S, :D, :D, :S, :S, :S, :S, :S, :D, :S, :D, :D, :D, :D, :R]
newsam.agents = Symbol[:S, :S, :D, :D, :S, :D, :D, :R, :D, :D, :R, :D, :D, :D, :D, :S, :S, :S, :S, :D]
newsam.agents = Symbol[:D, :I, :S, :S, :S, :D, :I, :S, :S, :S, :D, :I, :D, :R, :S, :D, :D, :D, :S, :I]
newsam.agents = Symbol[:S, :D, :S, :S, :S, :S, :S, :S, :D, :D, :D, :D, :D, :S, :D, :D, :D, :D, :S, :S]
newsam.agents = Symbol[:D, :D, :S, :S, :D, :S, :S, :S, :S, :D, :D, :S, :S, :S, :D, :D, :D, :S, :S, :D]

Adding population growth to this model
stepr = :(function tick!(sm::StateModel)
      #= none:57 =#
      sm.loads = map((s->begin
                      #= none:57 =#
                      stateload(sm, s)
                  end), sm.states)
  end)
------------------------
stepr = :(function tick!(sm::StateModel)
      #= none:57 =#
      sm.loads = map((s->begin
                      #= none:57 =#
                      stateload(sm, s)
                  end), sm.states)
      push!(sm.agents, :S)
  end)

Running growth model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:S, :S, :S, :D, :I, :D, :D, :D, :S, :D, :D, :S, :D, :R, :S, :I, :S, :S, :D, :D, :R, :D, :S, :D, :D, :S, :S, :S, :S, :S]
newsam.agents = Symbol[:D, :D, :S, :I, :S, :D, :D, :D, :I, :S, :D, :D, :D, :D, :S, :S, :S, :I, :S, :D, :D, :R, :S, :D, :S, :D, :S, :S, :I, :I]
newsam.agents = Symbol[:S, :R, :S, :D, :S, :D, :D, :R, :D, :S, :D, :D, :R, :D, :S, :S, :S, :S, :I, :S, :R, :S, :S, :D, :D, :D, :S, :S, :S, :S]
newsam.agents = Symbol[:D, :I, :D, :S, :S, :S, :D, :D, :D, :S, :S, :D, :D, :R, :D, :I, :R, :S, :S, :D, :R, :D, :S, :D, :I, :S, :D, :I, :R, :S]
newsam.agents = Symbol[:D, :R, :S, :D, :D, :S, :S, :R, :S, :R, :S, :I, :S, :R, :S, :D, :D, :S, :D, :D, :D, :S, :D, :S, :D, :S, :S, :S, :S, :S]
newsam.agents = Symbol[:S, :S, :D, :S, :D, :D, :S, :I, :D, :D, :S, :D, :R, :S, :S, :S, :S, :R, :D, :D, :D, :S, :S, :D, :S, :S, :S, :I, :I, :S]
newsam.agents = Symbol[:S, :S, :S, :D, :S, :S, :I, :S, :D, :S, :S, :D, :D, :S, :D, :D, :S, :S, :D, :D, :D, :D, :S, :S, :S, :S, :S, :S, :S, :S]

Model	 Counts
-----	 ------
basic	Pair{Symbol,Int64}[:S => 8, :I => 6, :R => 6]
basic	Pair{Symbol,Int64}[:S => 5, :I => 6, :R => 9]
basic	Pair{Symbol,Int64}[:S => 2, :I => 13, :R => 5]
basic	Pair{Symbol,Int64}[:S => 15, :I => 1, :R => 4]
basic	Pair{Symbol,Int64}[:S => 14, :I => 4, :R => 2]
basic	Pair{Symbol,Int64}[:S => 8, :I => 5, :R => 7]
basic	Pair{Symbol,Int64}[:S => 2, :I => 17, :R => 1]
sird	Pair{Symbol,Int64}[:S => 7, :I => 2, :R => 1, :D => 10]
sird	Pair{Symbol,Int64}[:S => 8, :I => 1, :R => 2, :D => 9]
sird	Pair{Symbol,Int64}[:S => 9, :I => 1, :R => 1, :D => 9]
sird	Pair{Symbol,Int64}[:S => 7, :I => 0, :R => 2, :D => 11]
sird	Pair{Symbol,Int64}[:S => 8, :I => 4, :R => 1, :D => 7]
sird	Pair{Symbol,Int64}[:S => 10, :I => 0, :R => 0, :D => 10]
sird	Pair{Symbol,Int64}[:S => 11, :I => 0, :R => 0, :D => 9]
growth	Pair{Symbol,Int64}[:S => 14, :I => 2, :R => 2, :D => 12]
growth	Pair{Symbol,Int64}[:S => 11, :I => 5, :R => 1, :D => 13]
growth	Pair{Symbol,Int64}[:S => 15, :I => 1, :R => 4, :D => 10]
growth	Pair{Symbol,Int64}[:S => 10, :I => 4, :R => 4, :D => 12]
growth	Pair{Symbol,Int64}[:S => 15, :I => 1, :R => 4, :D => 10]
growth	Pair{Symbol,Int64}[:S => 15, :I => 3, :R => 2, :D => 10]
growth	Pair{Symbol,Int64}[:S => 19, :I => 1, :R => 0, :D => 10]

Model	 Count 	 Num Unhealthy 	 Mean Healthy %
-----	 ------	 --------------	  --------------
growth	   7	  13.429	   47.143
sird	   7	  10.429	   42.857
basic	   7	  7.4286	   38.571
┌ Info: Running example: 
└   file = "modelmacro.jl"
WARNING: replacing module StatsMod.
┌ Info: Running example: 
└   file = "monomial_regression.jl"
m.f.args[2] = quote
    #= /root/.julia/packages/SemanticModels/2GkPI/test/monomial_regression.jl:31 =#
    return a * x ^ 4
end
MonomialRegressionModel(
  f=:(function f(a, x)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/monomial_regression.jl:31 =#
      return a * x ^ 4
  end),
  objective=:loss,
  coefficient=:a,
  interval=:(a₀ = [-1, 1]))
sol.ahat = (0.07675560563802719, 0.07675561308860779)
sol.loss(sol.ahat[1]) = 1.272917193612105
(m.f.args[2]).args[2] = :(return a * x ^ 3)
WARNING: replacing module Regression.
sol.ahat[1] = -0.15113633126020432
sol.loss(sol.ahat[1]) = 7.3042780214633485
(m.f.args[2]).args[2] = :(return a * x ^ 2)
WARNING: replacing module Regression.
sol.ahat[1] = 0.5053171217441559
sol.loss(sol.ahat[1]) = 0.13138597231804847
(m.f.args[2]).args[2] = :(return a * x ^ 1)
WARNING: replacing module Regression.
sol.ahat[1] = -0.5334461033344269
sol.loss(sol.ahat[1]) = 12.085208207912629
(m.f.args[2]).args[2] = :(return a * x ^ 0)
WARNING: replacing module Regression.
sol.ahat[1] = 0.6825762614607811
sol.loss(sol.ahat[1]) = 11.210639037376852
(m.f.args[2]).args[2] = :(return a * x ^ -1)
WARNING: replacing module Regression.
sol.ahat[1] = -0.0009050816297531128
sol.loss(sol.ahat[1]) = 15.868576720307619

Results:


i	p	â		l⋆
-----------------------------
0	4	0.0767556	1.2729172
1	3	-0.1511363	7.304278
2	2	0.5053171	0.131386
3	1	-0.5334461	12.0852082
4	0	0.6825763	11.210639
5	-1	-0.0009051	15.8685767
Model order 2 is the best with a=0.5053171217441559 and loss 0.13138597231804847
┌ Info: Running example: 
└   file = "multivariate_regression.jl"
WARNING: could not import ModelTools.AbstractProblem into Main
m = MultivariateLsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
poly((one(Pow) ^ 4)(deepcopy(m), 1)) = :(a .* x .^ 4 .+ b .* y .^ 0)
poly((one(Pow) ^ 4)(deepcopy(m), 2)) = :(a .* x .^ 0 .+ b .* y .^ 4)
T₁ = Product((one(Pow), zero(Pow))) = (Pow(1), Pow(0))
T₂ = Product((zero(Pow), one(Pow))) = (Pow(0), Pow(1))
(T₁ ^ 2 ∘ T₂ ^ 3)(deepcopy(m)) = MultivariateLsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
┌ Info: Running example: 
└   file = "polynomial_regression.jl"
WARNING: replacing module Regression.
m = Lsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
Tₓ = Pow(1) = Pow(1)
T₁ = AddConst() = AddConst()
poly(Tₓ(m)) = :((.+)(β[1] .* x .^ 1))
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5])]
poly(T₁(m)) = :(β[1] .* x .^ 1 .+ β[2] .* x .^ 0)
poly(Tₓ(m)) = :(β[1] .* x .^ 2 .+ β[2] .* x .^ 1)
poly(Tₓ(m)) = :(β[1] .* x .^ 3 .+ β[2] .* x .^ 2)
p = :(β[1] .* x .^ 3 .+ β[2] .* x .^ 2)
assigns = Expr[:(a₀ = [1.5, 1])]
poly(T₁(m)) = :(.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 0))
WARNING: replacing module Regression.
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5])]
WARNING: replacing module Regression.
p = :(β[1] .* x .^ 2 .+ β[2] .* x .^ 1)
assigns = Expr[:(a₀ = [1.5, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5, 1, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 4, β[2] .* x .^ 3, β[3] .* x .^ 2, β[4] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5, 1, 1, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 5, β[2] .* x .^ 4, β[3] .* x .^ 3, β[4] .* x .^ 2, β[5] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5, 1, 1, 1, 1])]
DoF: 1	Poly: x^{0}
Residual: 70.6389	β̂: [0.5516])
ℓ₁ norm of β̂: 0.5516
--------------------------------------------------------


DoF: 2	Poly: x^{1, 0}
Residual: 39.7563	β̂: [1.4151, 0.4805])
ℓ₁ norm of β̂: 1.8956
--------------------------------------------------------


DoF: 3	Poly: x^{2, 1, 0}
Residual: 47.3024	β̂: [0.3991, 1.6823, 0.082])
ℓ₁ norm of β̂: 2.1633999999999998
--------------------------------------------------------


DoF: 4	Poly: x^{3, 2, 1, 0}
Residual: 0.0195	β̂: [0.5, 0.5, 0.0, 0.0])
ℓ₁ norm of β̂: 1.0
--------------------------------------------------------


DoF: 5	Poly: x^{4, 3, 2, 1, 0}
Residual: 0.0196	β̂: [-0.0, 0.5, 0.5001, -0.0, -0.0001])
ℓ₁ norm of β̂: 1.0002
--------------------------------------------------------


WARNING: replacing module Regression.
p = :((.+)(β[1] .* x .^ 2))
assigns = Expr[:(a₀ = [1.5])]
WARNING: replacing module Regression.
p = :(β[1] .* x .^ 4 .+ β[2] .* x .^ 2)
assigns = Expr[:(a₀ = [1.5, 1])]
WARNING: replacing module Regression.
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 6, β[2] .* x .^ 4, β[3] .* x .^ 2))
assigns = Expr[:(a₀ = [1.5, 1, 1])]
p = :(.+(β[1] .* x .^ 8, β[2] .* x .^ 6, β[3] .* x .^ 4, β[4] .* x .^ 2))
assigns = Expr[:(a₀ = [1.5, 1, 1, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 10, β[2] .* x .^ 8, β[3] .* x .^ 6, β[4] .* x .^ 4, β[5] .* x .^ 2))
assigns = Expr[:(a₀ = [1.5, 1, 1, 1, 1])]
DoF: 1	Poly: x^{0}
Residual: 68.433	β̂: [0.5964])
ℓ₁ norm of β̂: 0.5964
--------------------------------------------------------


DoF: 2	Poly: x^{2, 0}
Residual: 66.4205	β̂: [0.5975, -0.0508])
ℓ₁ norm of β̂: 0.6483
--------------------------------------------------------


DoF: 3	Poly: x^{4, 2, 0}
Residual: 60.4888	β̂: [0.0992, 0.0846, 0.17])
ℓ₁ norm of β̂: 0.3538
--------------------------------------------------------


DoF: 4	Poly: x^{6, 4, 2, 0}
Residual: 44.0915	β̂: [-0.0197, 0.1513, 0.1151, 0.1055])
ℓ₁ norm of β̂: 0.39159999999999995
--------------------------------------------------------


DoF: 5	Poly: x^{8, 6, 4, 2, 0}
Residual: 53.7972	β̂: [-0.0008, -0.0281, 0.3092, -0.1019, 0.1172])
ℓ₁ norm of β̂: 0.5571999999999999
--------------------------------------------------------


┌ Info: Running example: 
└   file = "workflow.jl"
Running Agent Based Simulation Augmentation Demo
================================================
demo parameters:
	samples=100
	nsteps=25

Running basic model
WARNING: replacing module AgentModels.
AgentModels = Main.AgentModels
======= . Simulation 1  ========
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length(finalcounts) = 100
WARNING: replacing module Regression.
size(Data) = (100, 3)
size(Data) = (100, 3)
m = Lsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
Tₓ = Pow(1) = Pow(1)
T₁ = AddConst() = AddConst()
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.0])]
poly(m) = :((.+)(β[1] .* x .^ 0))
WARNING: replacing module Regression.
m′.expr = :(module Regression
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:71 =#
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:72 =#
  using Random
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:73 =#
  using LsqFit
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:74 =#
  using LinearAlgebra
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:76 =#
  function f(x, β)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:79 =#
      return β[1] .* x .^ 1 .+ β[2] .* x .^ 0
  end
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:82 =#
  function sample(g::Function, n)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:83 =#
      x = randn(Float64, n)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:84 =#
      target = g(x) .+ randn(Float64, n[1]) ./ 1600
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:85 =#
      return (x, target)
  end
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:88 =#
  function describe(fit)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:89 =#
      if !(fit.converged)
          #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:90 =#
          error("Did not converge")
      end
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:92 =#
      return (β = fit.param, r = norm(fit.resid, 2), n = length(fit.resid))
  end
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:95 =#
  a₀ = [1.0, 1]
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:96 =#
  function main(X, target)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:98 =#
      fit = curve_fit(f, X, target, a₀)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:99 =#
      result = describe(fit)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:100 =#
      return (fit, result)
  end
  end)
size(Data) = (100, 3)
WARNING: replacing module AgentModels.
size(Data) = (100, 3)
WARNING: replacing module Regression.
LsqFit.LsqFitResult{Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,1}}([6.559999999999998], [4.559999999999998, 5.559999999999998, -6.440000000000002, 4.559999999999998, 4.559999999999998, 2.559999999999998, -7.440000000000002, 6.559999999999998, 0.5599999999999978, 5.559999999999998, -3.440000000000002, -10.440000000000001, 3.559999999999998, 0.5599999999999978, 0.5599999999999978, 0.5599999999999978, 1.5599999999999978, 0.5599999999999978, -0.44000000000000217, 6.559999999999998, -0.44000000000000217, -8.440000000000001, 4.559999999999998, 4.559999999999998, 6.559999999999998, 1.5599999999999978, 3.559999999999998, -5.440000000000002, 3.559999999999998, -3.440000000000002, -7.440000000000002, 2.559999999999998, 1.5599999999999978, -8.440000000000001, -7.440000000000002, -4.440000000000002, -4.440000000000002, 6.559999999999998, 3.559999999999998, -7.440000000000002, 4.559999999999998, 2.559999999999998, 6.559999999999998, -8.440000000000001, 0.5599999999999978, -13.440000000000001, 4.559999999999998, -1.4400000000000022, 3.559999999999998, 1.5599999999999978, 4.559999999999998, -3.440000000000002, 1.5599999999999978, 4.559999999999998, 3.559999999999998, -4.440000000000002, -2.440000000000002, 3.559999999999998, 0.5599999999999978, 4.559999999999998, -4.440000000000002, 2.559999999999998, -4.440000000000002, 5.559999999999998, 4.559999999999998, -3.440000000000002, 4.559999999999998, -9.440000000000001, -13.440000000000001, -12.440000000000001, 4.559999999999998, 2.559999999999998, 5.559999999999998, 6.559999999999998, -6.440000000000002, 3.559999999999998, -13.440000000000001, 5.559999999999998, 0.5599999999999978, 2.559999999999998, 0.5599999999999978, 0.5599999999999978, 5.559999999999998, -10.440000000000001, 0.5599999999999978, 4.559999999999998, 1.5599999999999978, -2.440000000000002, 4.559999999999998, -5.440000000000002, -4.440000000000002, -2.440000000000002, 6.559999999999998, -1.4400000000000022, 4.559999999999998, 6.559999999999998, -13.440000000000001, 5.559999999999998, 0.5599999999999978, 2.559999999999998], [0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292], true, Float64[])
==========
(β = [6.559999999999998], r = 54.851071092550235, n = 100)
==========
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.0])]
p = :(β[1] .* x .^ 2 .+ β[2] .* x .^ 1)
assigns = Expr[:(a₀ = [1.0, 1])]
WARNING: replacing module AgentModels.
size(Data) = (100, 3)
WARNING: replacing module Regression.

Initial Pipeline
----------------
(P.steps[1]).states = :([:S, :I, :R])
poly(P.steps[2]) = :((.+)(β[1] .* x .^ 0))


Applying the first pair of transformations
------------------------------------------

The system states are Any[:(:S), :(:I), :(:R)]

Adding un estado de los muertos

The system states are Any[:(:S), :(:I), :(:R), :(:D)]

There is no resurrection in this model

Infected individuals recover or die in one step
m[:I] = :(x...->begin
          #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:385 =#
          #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:386 =#
          roll = rand()
          #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:387 =#
          if roll < ρ
              #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:388 =#
              return :R
          elseif #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:389 =# rand(Bool)
              #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:390 =#
              return :D
          else
              #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:392 =#
              return :I
          end
      end)
(P.steps[1]).states = :([:S, :I, :R, :D])
poly(P.steps[2]) = :((.+)(β[1] .* x .^ 1))


Applying the second pair of transformations
-------------------------------------------
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.0])]

Adding population growth to this model
stepr = :(function tick!(sm::StateModel)
      #= none:59 =#
      sm.loads = map((s->begin
                      #= none:59 =#
                      stateload(sm, s)
                  end), sm.states)
      #= none:60 =#
      return sm.loads
  end)
------------------------
stepr = :(function tick!(sm::StateModel)
      #= none:59 =#
      sm.loads = map((s->begin
                      #= none:59 =#
                      stateload(sm, s)
                  end), sm.states)
      #= none:60 =#
      return sm.loads
      push!(sm.agents, :S)
  end)
p = :(β[1] .* x .^ 2 .+ β[2] .* x .^ 1)
assigns = Expr[:(a₀ = [1.0, 1])]
p = :(.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 1))
assigns = Expr[:(a₀ = [1.0, 1, 1])]


The final model state
---------------------
function tick!(sm::StateModel)
    #= none:59 =#
    sm.loads = map((s->begin
                    #= none:59 =#
                    stateload(sm, s)
                end), sm.states)
    #= none:60 =#
    return sm.loads
    push!(sm.agents, :S)
end
poly(P.steps[2]) = :(.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 1, β[4] .* x .^ 0))
WARNING: replacing module AgentModels.
Mod = Main.AgentModels
size(Data) = (100, 4)
WARNING: replacing module Regression.
ρ	f(ρ,β)
==============
0.0	15.189
0.05	14.247
0.1	13.278
0.15	12.289
0.2	11.29
0.25	10.287
0.3	9.29
0.35	8.306
0.4	7.344
0.45	6.412
0.5	5.518
0.55	4.671
0.6	3.878
0.65	3.149
0.7	2.49
0.75	1.91
0.8	1.418
0.85	1.022
0.9	0.729
0.95	0.549
1.0	0.489
[ Info: Loading Plots, this may take a while
[ Info: Making plots, this may take a while
β: [10.950560188895514, -7.143095712217819, -18.507755964243287, 15.189255637460388]
.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 1, β[4] .* x .^ 0)
┌ Info: Running example: 
└   file = "pseudo_polynomial_regression.jl"
WARNING: using Polynomials.poly in module Main conflicts with an existing identifier.
bodyblock(m.f) = Any[:(#= /root/.julia/packages/SemanticModels/2GkPI/test/pseudo_polynomial_regression.jl:32 =#), :(y = first(a) * x ^ 0), :(#= /root/.julia/packages/SemanticModels/2GkPI/test/pseudo_polynomial_regression.jl:33 =#), :(return y)]
WARNING: replacing module Regression.
WARNING: replacing module Regression.
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(0), x))
WARNING: replacing module Regression.
sol.ahat[1] = -1
sol.loss(sol.ahat[1]) = 20.13038665673438
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.5020807608962059
sol.loss(sol.ahat[1]) = 4.592980186575482
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(2*x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.25104037672281265
sol.loss(sol.ahat[1]) = 4.592980186575492
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(x), x))
WARNING: replacing module Regression.
sol.ahat[1] = -0.13085374981164932
sol.loss(sol.ahat[1]) = 19.902665298586488
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(x + x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.6143628656864166
sol.loss(sol.ahat[1]) = 2.187454550179506
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(x + 2*x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.29335421323776245
sol.loss(sol.ahat[1]) = 2.484606630021387
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.9999999925494194
sol.loss(sol.ahat[1]) = 9.069784234818242
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.42221833020448685
sol.loss(sol.ahat[1]) = 2.618319243042377
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + 2*x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.23381679505109787
sol.loss(sol.ahat[1]) = 3.1968217851927285
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + x), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.48516687750816345
sol.loss(sol.ahat[1]) = 15.865756420964225
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + x + x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.5032734870910645
sol.loss(sol.ahat[1]) = 0.13228245782573908
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + x + 2*x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.26868781447410583
sol.loss(sol.ahat[1]) = 1.1389708980451678

Results:


i	â         ℓ⋆ 		poly
----------------------------------------------
0     -1      20.1300     Poly(0)
0      0.5021      4.5930     Poly(x^2)
0      0.2510      4.5930     Poly(2*x^2)
0     -0.1308      19.9030     Poly(x)
0      0.6144      2.1875     Poly(x + x^2)
0      0.2933      2.4846     Poly(x + 2*x^2)
1      1.0000      9.0698     Poly(1)
1      0.4222      2.6183     Poly(1 + x^2)
1      0.2338      3.1968     Poly(1 + 2*x^2)
1      0.4852      15.8660     Poly(1 + x)
1      0.5033      0.1323     Poly(1 + x + x^2)
1      0.2687      1.1390     Poly(1 + x + 2*x^2)
Model order Poly(1 + x + x^2) is the best with a= 0.5033 and loss  0.1323
┌ Info: Running example: 
└   file = "odegraft.jl"
matches = Expr[:(ODEProblem(seir_ode, init, tspan, pram))]
matches = Expr[:(ODEProblem(micro_1, init, tspan, parms))]
model1.expr = :(module SEIRmodel
  #= none:16 =#
  #= none:17 =#
  using DifferentialEquations
  #= none:20 =#
  function var"##seir_ode#404"(dY, Y, p, t, r)
      N = sum(Y)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = r * (1 - S / N) * S + ((μ - β * S * I) - μ * S)
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end
  #= none:44 =#
  function main(λ)
      #= none:46 =#
      pram = [520 / 365, 1 / 60, 1 / 30, 774835 / (65640000 * 365)]
      #= none:48 =#
      init = [0.8, 0.1, 0.1]
      #= none:49 =#
      tspan = (0.0, 365.0)
      #= none:51 =#
      seir_prob = ODEProblem(((du, u, p, t)->begin
                      #= /root/.julia/packages/SemanticModels/2GkPI/test/odegraft.jl:85 =#
                      var"##seir_ode#404"(du, u, p, t, λ)
                  end), init, tspan, pram)
      #= none:53 =#
      sol = solve(seir_prob)
      #= none:54 =#
      return sol
  end
  end)
WARNING: replacing module SEIRmodel.
S	I	R
4.1396833928109084e-5	1.5129405629448422	1.2314283588495585
3.319438797150202e-5	1.7926580206599978	1.4394889794159766
2.730736219785036e-5	2.096233539859458	1.6601779149317446
2.2813032119616296e-5	2.424996355132723	1.893723431103989
1.944287409294006e-5	2.778354951733437	2.13895239747031
1.695225381906384e-5	3.1545278797461362	2.3937933230403843
Test Summary:     | Pass  Total
Test all examples |    9      9
   Testing SemanticModels tests passed 

 Resolving package versions...
 Installed BoundaryValueDiffEq ───────── v2.3.0
 Installed UnionFind ─────────────────── v0.1.0
 Installed ConstructionBase ──────────── v1.0.0
 Installed GeometryTypes ─────────────── v0.7.6
 Installed Plots ─────────────────────── v0.28.2
 Installed Colors ────────────────────── v0.9.6
 Installed LightGraphs ───────────────── v1.3.0
 Installed Adapt ─────────────────────── v1.0.0
 Installed Unitful ───────────────────── v0.18.0
 Installed DataStructures ────────────── v0.17.6
 Installed WeakRefStrings ────────────── v0.6.1
 Installed ColorTypes ────────────────── v0.8.0
 Installed ModelingToolkit ───────────── v0.6.4
 Installed Catlab ────────────────────── v0.3.0
 Installed QuadGK ────────────────────── v2.1.1
 Installed FunctionWrappers ──────────── v1.0.0
 Installed AutoHashEquals ────────────── v0.2.0
 Installed IterativeSolvers ──────────── v0.8.1
 Installed MetaGraphs ────────────────── v0.6.4
 Installed NaNMath ───────────────────── v0.3.3
 Installed ArrayLayouts ──────────────── v0.1.5
 Installed Tables ────────────────────── v0.2.11
 Installed CanonicalTraits ───────────── v0.1.0
 Installed StatsModels ───────────────── v0.6.7
 Installed SparseDiffTools ───────────── v1.0.0
 Installed NameResolution ────────────── v0.1.3
 Installed MLStyle ───────────────────── v0.3.1
 Installed DataFramesMeta ────────────── v0.5.0
 Installed SpecialFunctions ──────────── v0.8.0
 Installed StochasticDiffEq ──────────── v6.15.0
 Installed Compat ────────────────────── v2.2.0
 Installed LazyArrays ────────────────── v0.14.10
 Installed StaticArrays ──────────────── v0.11.1
 Installed BinDeps ───────────────────── v0.8.10
 Installed BandedMatrices ────────────── v0.14.2
 Installed SemanticModels ────────────── v0.3.0
 Installed DataFrames ────────────────── v0.19.4
 Installed ResettableStacks ──────────── v1.0.0
 Installed DiffResults ───────────────── v0.0.4
 Installed MacroTools ────────────────── v0.5.2
 Installed Roots ─────────────────────── v0.8.3
 Installed FixedPointNumbers ─────────── v0.6.1
 Installed IterTools ─────────────────── v1.3.0
 Installed StatsBase ─────────────────── v0.32.0
 Installed GeneralizedGenerated ──────── v0.2.0
 Installed Showoff ───────────────────── v0.3.1
 Installed ForwardDiff ───────────────── v0.10.7
 Installed LaTeXStrings ──────────────── v1.0.3
 Installed Inflate ───────────────────── v0.1.1
 Installed FillArrays ────────────────── v0.8.2
 Installed Arpack ────────────────────── v0.3.1
 Installed LineSearches ──────────────── v7.0.1
 Installed FileIO ────────────────────── v1.1.0
 Installed URIParser ─────────────────── v0.4.0
 Installed Missings ──────────────────── v0.4.3
 Installed Calculus ──────────────────── v0.5.1
 Installed CodecZlib ─────────────────── v0.6.0
 Installed ShiftedArrays ─────────────── v1.0.0
 Installed TableTraits ───────────────── v1.0.0
 Installed PrettyPrint ───────────────── v0.1.0
 Installed CommonSubexpressions ──────── v0.2.0
 Installed PooledArrays ──────────────── v0.5.2
 Installed StatsFuns ─────────────────── v0.9.0
 Installed Match ─────────────────────── v1.0.2
 Installed FilePathsBase ─────────────── v0.7.0
 Installed MuladdMacro ───────────────── v0.2.1
 Installed BinaryProvider ────────────── v0.5.8
 Installed TranscodingStreams ────────── v0.9.5
 Installed GLM ───────────────────────── v1.3.4
 Installed DocStringExtensions ───────── v0.8.1
 Installed Parameters ────────────────── v0.12.0
 Installed NLSolversBase ─────────────── v7.5.0
 Installed InvertedIndices ───────────── v1.0.0
 Installed Rmath ─────────────────────── v0.5.1
 Installed FFMPEG ────────────────────── v0.2.3
 Installed Petri ─────────────────────── v0.1.2
 Installed DiffRules ─────────────────── v0.1.0
 Installed Measures ──────────────────── v0.3.0
 Installed Requires ──────────────────── v0.5.2
 Installed Cassette ──────────────────── v0.2.6
 Installed Distances ─────────────────── v0.8.2
 Installed ArrayInterface ────────────── v2.0.0
 Installed RecursiveArrayTools ───────── v1.2.0
 Installed RecursiveFactorization ────── v0.1.0
 Installed LightXML ──────────────────── v0.8.1
 Installed SimpleTraits ──────────────── v0.9.1
 Installed GraphDataFrameBridge ──────── v0.2.1
 Installed DataValueInterfaces ───────── v1.0.0
 Installed Distributions ─────────────── v0.21.9
 Installed Reexport ──────────────────── v0.2.0
 Installed PlotUtils ─────────────────── v0.6.1
 Installed Contour ───────────────────── v0.5.1
 Installed CategoricalArrays ─────────── v0.7.3
 Installed PlotThemes ────────────────── v1.0.0
 Installed DiffEqBase ────────────────── v6.7.0
 Installed RecipesBase ───────────────── v0.7.0
 Installed VertexSafeGraphs ──────────── v0.1.0
 Installed CSV ───────────────────────── v0.5.18
 Installed IteratorInterfaceExtensions ─ v1.0.0
 Installed Latexify ──────────────────── v0.12.3
 Installed DataAPI ───────────────────── v1.1.0
 Installed Documenter ────────────────── v0.24.2
 Installed JLD2 ──────────────────────── v0.1.9
 Installed JSON ──────────────────────── v0.21.0
 Installed RandomNumbers ─────────────── v1.3.0
 Installed ArnoldiMethod ─────────────── v0.0.4
 Installed JuliaVariables ────────────── v0.2.0
 Installed PDMats ────────────────────── v0.9.10
 Installed Parsers ───────────────────── v0.3.10
 Installed OrderedCollections ────────── v1.1.0
 Installed TreeViews ─────────────────── v0.3.0
 Installed DiffEqDiffTools ───────────── v1.5.0
 Installed SortingAlgorithms ─────────── v0.3.1
 Installed DiffEqNoiseProcess ────────── v3.6.0
 Installed GR ────────────────────────── v0.44.0
 Installed NLsolve ───────────────────── v4.2.0
  Updating `~/.julia/environments/v1.3/Project.toml`
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  Updating `~/.julia/environments/v1.3/Manifest.toml`
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  [4fba245c] + ArrayInterface v2.0.0
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  [9e28174c] + BinDeps v0.8.10
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  [336ed68f] + CSV v0.5.18
  [49dc2e85] + Calculus v0.5.1
  [a603d957] + CanonicalTraits v0.1.0
  [7057c7e9] + Cassette v0.2.6
  [324d7699] + CategoricalArrays v0.7.3
  [134e5e36] + Catlab v0.3.0
  [944b1d66] + CodecZlib v0.6.0
  [3da002f7] + ColorTypes v0.8.0
  [5ae59095] + Colors v0.9.6
  [bbf7d656] + CommonSubexpressions v0.2.0
  [34da2185] + Compat v2.2.0
  [187b0558] + ConstructionBase v1.0.0
  [d38c429a] + Contour v0.5.1
  [9a962f9c] + DataAPI v1.1.0
  [a93c6f00] + DataFrames v0.19.4
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  [864edb3b] + DataStructures v0.17.6
  [e2d170a0] + DataValueInterfaces v1.0.0
  [2b5f629d] + DiffEqBase v6.7.0
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  [77a26b50] + DiffEqNoiseProcess v3.6.0
  [163ba53b] + DiffResults v0.0.4
  [b552c78f] + DiffRules v0.1.0
  [b4f34e82] + Distances v0.8.2
  [31c24e10] + Distributions v0.21.9
  [ffbed154] + DocStringExtensions v0.8.1
  [e30172f5] + Documenter v0.24.2
  [c87230d0] + FFMPEG v0.2.3
  [5789e2e9] + FileIO v1.1.0
  [48062228] + FilePathsBase v0.7.0
  [1a297f60] + FillArrays v0.8.2
  [53c48c17] + FixedPointNumbers v0.6.1
  [f6369f11] + ForwardDiff v0.10.7
  [069b7b12] + FunctionWrappers v1.0.0
  [38e38edf] + GLM v1.3.4
  [28b8d3ca] + GR v0.44.0
  [6b9d7cbe] + GeneralizedGenerated v0.2.0
  [4d00f742] + GeometryTypes v0.7.6
  [3c71623a] + GraphDataFrameBridge v0.2.1
  [d25df0c9] + Inflate v0.1.1
  [41ab1584] + InvertedIndices v1.0.0
  [c8e1da08] + IterTools v1.3.0
  [42fd0dbc] + IterativeSolvers v0.8.1
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [033835bb] + JLD2 v0.1.9
  [682c06a0] + JSON v0.21.0
  [b14d175d] + JuliaVariables v0.2.0
  [b964fa9f] + LaTeXStrings v1.0.3
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  [9c8b4983] + LightXML v0.8.1
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  [d8e11817] + MLStyle v0.3.1
  [1914dd2f] + MacroTools v0.5.2
  [7eb4fadd] + Match v1.0.2
  [442fdcdd] + Measures v0.3.0
  [626554b9] + MetaGraphs v0.6.4
  [e1d29d7a] + Missings v0.4.3
  [961ee093] + ModelingToolkit v0.6.4
  [46d2c3a1] + MuladdMacro v0.2.1
  [d41bc354] + NLSolversBase v7.5.0
  [2774e3e8] + NLsolve v4.2.0
  [77ba4419] + NaNMath v0.3.3
  [71a1bf82] + NameResolution v0.1.3
  [bac558e1] + OrderedCollections v1.1.0
  [90014a1f] + PDMats v0.9.10
  [d96e819e] + Parameters v0.12.0
  [69de0a69] + Parsers v0.3.10
  [4259d249] + Petri v0.1.2
  [ccf2f8ad] + PlotThemes v1.0.0
  [995b91a9] + PlotUtils v0.6.1
  [91a5bcdd] + Plots v0.28.2
  [2dfb63ee] + PooledArrays v0.5.2
  [8162dcfd] + PrettyPrint v0.1.0
  [1fd47b50] + QuadGK v2.1.1
  [e6cf234a] + RandomNumbers v1.3.0
  [3cdcf5f2] + RecipesBase v0.7.0
  [731186ca] + RecursiveArrayTools v1.2.0
  [f2c3362d] + RecursiveFactorization v0.1.0
  [189a3867] + Reexport v0.2.0
  [ae029012] + Requires v0.5.2
  [ae5879a3] + ResettableStacks v1.0.0
  [79098fc4] + Rmath v0.5.1
  [f2b01f46] + Roots v0.8.3
  [f5ac2a72] + SemanticModels v0.3.0
  [1277b4bf] + ShiftedArrays v1.0.0
  [992d4aef] + Showoff v0.3.1
  [699a6c99] + SimpleTraits v0.9.1
  [a2af1166] + SortingAlgorithms v0.3.1
  [47a9eef4] + SparseDiffTools v1.0.0
  [276daf66] + SpecialFunctions v0.8.0
  [90137ffa] + StaticArrays v0.11.1
  [2913bbd2] + StatsBase v0.32.0
  [4c63d2b9] + StatsFuns v0.9.0
  [3eaba693] + StatsModels v0.6.7
  [789caeaf] + StochasticDiffEq v6.15.0
  [3783bdb8] + TableTraits v1.0.0
  [bd369af6] + Tables v0.2.11
  [3bb67fe8] + TranscodingStreams v0.9.5
  [a2a6695c] + TreeViews v0.3.0
  [30578b45] + URIParser v0.4.0
  [99c6138d] + UnionFind v0.1.0
  [1986cc42] + Unitful v0.18.0
  [19fa3120] + VertexSafeGraphs v0.1.0
  [ea10d353] + WeakRefStrings v0.6.1
  [2a0f44e3] + Base64 
  [ade2ca70] + Dates 
  [8bb1440f] + DelimitedFiles 
  [8ba89e20] + Distributed 
  [9fa8497b] + Future 
  [b77e0a4c] + InteractiveUtils 
  [76f85450] + LibGit2 
  [8f399da3] + Libdl 
  [37e2e46d] + LinearAlgebra 
  [56ddb016] + Logging 
  [d6f4376e] + Markdown 
  [a63ad114] + Mmap 
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  [de0858da] + Printf 
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  [1a1011a3] + SharedArrays 
  [6462fe0b] + Sockets 
  [2f01184e] + SparseArrays 
  [10745b16] + Statistics 
  [4607b0f0] + SuiteSparse 
  [8dfed614] + Test 
  [cf7118a7] + UUIDs 
  [4ec0a83e] + Unicode 
  Building GR ──────────────→ `~/.julia/packages/GR/oiZD3/deps/build.log`
  Building FFMPEG ──────────→ `~/.julia/packages/FFMPEG/bkWgb/deps/build.log`
  Building Plots ───────────→ `~/.julia/packages/Plots/2KhB2/deps/build.log`
  Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
  Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
  Building CodecZlib ───────→ `~/.julia/packages/CodecZlib/5t9zO/deps/build.log`
  Building Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
  Building LightXML ────────→ `~/.julia/packages/LightXML/W8FVT/deps/build.log`
   Testing SemanticModels
 Resolving package versions...
 Installed ExponentialUtilities ─── v1.5.1
 Installed DifferentialEquations ── v6.9.0
 Installed LsqFit ───────────────── v0.8.1
 Installed Polynomials ──────────── v0.6.0
 Installed DimensionalPlotRecipes ─ v1.0.0
 Installed MultiScaleArrays ─────── v1.5.0
 Installed DiffEqPhysics ────────── v3.3.0
 Installed OrdinaryDiffEq ───────── v5.25.0
 Installed DelayDiffEq ──────────── v5.18.0
 Installed Sundials ─────────────── v3.8.1
 Installed DiffEqFinancial ──────── v2.2.1
 Installed SteadyStateDiffEq ────── v1.5.0
 Installed OptimBase ────────────── v2.0.0
 Installed DiffEqCallbacks ──────── v2.10.0
 Installed PoissonRandom ────────── v0.4.0
 Installed GenericSVD ───────────── v0.2.2
 Installed DiffEqJump ───────────── v6.3.0
  Building Sundials → `~/.julia/packages/Sundials/MllUG/deps/build.log`
    Status `/tmp/jl_Tf7tSI/Manifest.toml`
  [79e6a3ab] Adapt v1.0.0
  [ec485272] ArnoldiMethod v0.0.4
  [7d9fca2a] Arpack v0.3.1
  [4fba245c] ArrayInterface v2.0.0
  [4c555306] ArrayLayouts v0.1.5
  [15f4f7f2] AutoHashEquals v0.2.0
  [aae01518] BandedMatrices v0.14.2
  [9e28174c] BinDeps v0.8.10
  [b99e7846] BinaryProvider v0.5.8
  [764a87c0] BoundaryValueDiffEq v2.3.0
  [336ed68f] CSV v0.5.18
  [49dc2e85] Calculus v0.5.1
  [a603d957] CanonicalTraits v0.1.0
  [7057c7e9] Cassette v0.2.6
  [324d7699] CategoricalArrays v0.7.3
  [134e5e36] Catlab v0.3.0
  [944b1d66] CodecZlib v0.6.0
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  [bbf7d656] CommonSubexpressions v0.2.0
  [34da2185] Compat v2.2.0
  [187b0558] ConstructionBase v1.0.0
  [d38c429a] Contour v0.5.1
  [9a962f9c] DataAPI v1.1.0
  [a93c6f00] DataFrames v0.19.4
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  [e2d170a0] DataValueInterfaces v1.0.0
  [bcd4f6db] DelayDiffEq v5.18.0
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  [0c46a032] DifferentialEquations v6.9.0
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  [31c24e10] Distributions v0.21.9
  [ffbed154] DocStringExtensions v0.8.1
  [e30172f5] Documenter v0.24.2
  [d4d017d3] ExponentialUtilities v1.5.1
  [c87230d0] FFMPEG v0.2.3
  [5789e2e9] FileIO v1.1.0
  [48062228] FilePathsBase v0.7.0
  [1a297f60] FillArrays v0.8.2
  [53c48c17] FixedPointNumbers v0.6.1
  [f6369f11] ForwardDiff v0.10.7
  [069b7b12] FunctionWrappers v1.0.0
  [38e38edf] GLM v1.3.4
  [28b8d3ca] GR v0.44.0
  [6b9d7cbe] GeneralizedGenerated v0.2.0
  [01680d73] GenericSVD v0.2.2
  [4d00f742] GeometryTypes v0.7.6
  [3c71623a] GraphDataFrameBridge v0.2.1
  [d25df0c9] Inflate v0.1.1
  [41ab1584] InvertedIndices v1.0.0
  [c8e1da08] IterTools v1.3.0
  [42fd0dbc] IterativeSolvers v0.8.1
  [82899510] IteratorInterfaceExtensions v1.0.0
  [033835bb] JLD2 v0.1.9
  [682c06a0] JSON v0.21.0
  [b14d175d] JuliaVariables v0.2.0
  [b964fa9f] LaTeXStrings v1.0.3
  [23fbe1c1] Latexify v0.12.3
  [5078a376] LazyArrays v0.14.10
  [093fc24a] LightGraphs v1.3.0
  [9c8b4983] LightXML v0.8.1
  [d3d80556] LineSearches v7.0.1
  [2fda8390] LsqFit v0.8.1
  [d8e11817] MLStyle v0.3.1
  [1914dd2f] MacroTools v0.5.2
  [7eb4fadd] Match v1.0.2
  [442fdcdd] Measures v0.3.0
  [626554b9] MetaGraphs v0.6.4
  [e1d29d7a] Missings v0.4.3
  [961ee093] ModelingToolkit v0.6.4
  [46d2c3a1] MuladdMacro v0.2.1
  [f9640e96] MultiScaleArrays v1.5.0
  [d41bc354] NLSolversBase v7.5.0
  [2774e3e8] NLsolve v4.2.0
  [77ba4419] NaNMath v0.3.3
  [71a1bf82] NameResolution v0.1.3
  [87e2bd06] OptimBase v2.0.0
  [bac558e1] OrderedCollections v1.1.0
  [1dea7af3] OrdinaryDiffEq v5.25.0
  [90014a1f] PDMats v0.9.10
  [d96e819e] Parameters v0.12.0
  [69de0a69] Parsers v0.3.10
  [4259d249] Petri v0.1.2
  [ccf2f8ad] PlotThemes v1.0.0
  [995b91a9] PlotUtils v0.6.1
  [91a5bcdd] Plots v0.28.2
  [e409e4f3] PoissonRandom v0.4.0
  [f27b6e38] Polynomials v0.6.0
  [2dfb63ee] PooledArrays v0.5.2
  [8162dcfd] PrettyPrint v0.1.0
  [1fd47b50] QuadGK v2.1.1
  [e6cf234a] RandomNumbers v1.3.0
  [3cdcf5f2] RecipesBase v0.7.0
  [731186ca] RecursiveArrayTools v1.2.0
  [f2c3362d] RecursiveFactorization v0.1.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v0.5.2
  [ae5879a3] ResettableStacks v1.0.0
  [79098fc4] Rmath v0.5.1
  [f2b01f46] Roots v0.8.3
  [f5ac2a72] SemanticModels v0.3.0
  [1277b4bf] ShiftedArrays v1.0.0
  [992d4aef] Showoff v0.3.1
  [699a6c99] SimpleTraits v0.9.1
  [a2af1166] SortingAlgorithms v0.3.1
  [47a9eef4] SparseDiffTools v1.0.0
  [276daf66] SpecialFunctions v0.8.0
  [90137ffa] StaticArrays v0.11.1
  [2913bbd2] StatsBase v0.32.0
  [4c63d2b9] StatsFuns v0.9.0
  [3eaba693] StatsModels v0.6.7
  [9672c7b4] SteadyStateDiffEq v1.5.0
  [789caeaf] StochasticDiffEq v6.15.0
  [c3572dad] Sundials v3.8.1
  [3783bdb8] TableTraits v1.0.0
  [bd369af6] Tables v0.2.11
  [3bb67fe8] TranscodingStreams v0.9.5
  [a2a6695c] TreeViews v0.3.0
  [30578b45] URIParser v0.4.0
  [99c6138d] UnionFind v0.1.0
  [1986cc42] Unitful v0.18.0
  [19fa3120] VertexSafeGraphs v0.1.0
  [ea10d353] WeakRefStrings v0.6.1
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [9fa8497b] Future  [`@stdlib/Future`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [1a1011a3] SharedArrays  [`@stdlib/SharedArrays`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [4607b0f0] SuiteSparse  [`@stdlib/SuiteSparse`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]
expr = Parsers.parsefile("../examples/epicookbook/notebooks/SimpleDeterministicModels/SIRModel.jl") = :(module SIRModel
  #= none:15 =#
  #= none:16 =#
  using DifferentialEquations
  #= none:18 =#
  function sir_ode(du, u, p, t)
      #= none:20 =#
      β = p[1]
      #= none:22 =#
      γ = p[2]
      #= none:25 =#
      S = u[1]
      #= none:27 =#
      I = u[2]
      #= none:29 =#
      du[1] = -β * S * I
      #= none:30 =#
      du[2] = β * S * I - γ * I
      #= none:31 =#
      du[3] = γ * I
  end
  #= none:35 =#
  pram = [0.1, 0.05]
  #= none:37 =#
  init = [0.99, 0.01, 0.0]
  #= none:38 =#
  tspan = (0.0, 200.0)
  #= none:40 =#
  sir_prob = ODEProblem(sir_ode, init, tspan, pram)
  #= none:42 =#
  sir_sol = solve(sir_prob, saveat=0.1)
  #= none:45 =#
  using Plots
  #= none:46 =#
  plot(sir_sol, xlabel="Time", ylabel="Number")
  #= none:48 =#
  function sir_ode2(du, u, p, t)
      #= none:49 =#
      (S, I, R) = u
      #= none:50 =#
      (b, g) = p
      #= none:51 =#
      du[1] = -b * S * I
      #= none:52 =#
      du[2] = b * S * I - g * I
      #= none:53 =#
      du[3] = g * I
  end
  #= none:55 =#
  parms = [0.1, 0.05]
  #= none:56 =#
  init = [0.99, 0.01, 0.0]
  #= none:57 =#
  tspan = (0.0, 200.0)
  #= none:58 =#
  sir_prob2 = ODEProblem(sir_ode2, init, tspan, parms)
  #= none:59 =#
  sir_sol = solve(sir_prob2, saveat=0.1)
  end)
[ Info: unknown expr type for metacollector
expr = :(function sir_ode(du, u, p, t)
      #= none:20 =#
      β = p[1]
      #= none:22 =#
      γ = p[2]
      #= none:25 =#
      S = u[1]
      #= none:27 =#
      I = u[2]
      #= none:29 =#
      du[1] = -β * S * I
      #= none:30 =#
      du[2] = β * S * I - γ * I
      #= none:31 =#
      du[3] = γ * I
  end)
[ Info: unknown expr type for metacollector
expr = :(plot(sir_sol, xlabel="Time", ylabel="Number"))
[ Info: unknown expr type for metacollector
expr = :(function sir_ode2(du, u, p, t)
      #= none:49 =#
      (S, I, R) = u
      #= none:50 =#
      (b, g) = p
      #= none:51 =#
      du[1] = -b * S * I
      #= none:52 =#
      du[2] = b * S * I - g * I
      #= none:53 =#
      du[3] = g * I
  end)
expr = Parsers.parsefile("../examples/epicookbook/notebooks/SimpleDeterministicModels/SEIRmodel.jl") = :(module Modeling
  #= none:1 =#
  #= none:17 =#
  using DifferentialEquations
  #= none:20 =#
  function seir_ode(dY, Y, p, t)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = (μ - β * S * I) - μ * S
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end
  #= none:45 =#
  pram = [520 / 365, 1 / 60, 1 / 30, 774835 / (65640000 * 365)]
  #= none:47 =#
  init = [0.8, 0.1, 0.1]
  #= none:48 =#
  tspan = (0.0, 365.0)
  #= none:50 =#
  seir_prob = ODEProblem(seir_ode, init, tspan, pram)
  #= none:52 =#
  sol = solve(seir_prob)
  #= none:54 =#
  using Plots
  #= none:56 =#
  va = VectorOfArray(sol.u)
  #= none:57 =#
  y = convert(Array, va)
  #= none:58 =#
  R = (ones(size(sol.t)))' - sum(y, dims=1)
  #= none:60 =#
  plot(sol.t, [y', R'], xlabel="Time", ylabel="Proportion")
  end)
[ Info: unknown expr type for metacollector
expr = :(function seir_ode(dY, Y, p, t)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = (μ - β * S * I) - μ * S
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end)
[ Info: unknown expr type for metacollector
expr = :(plot(sol.t, [y', R'], xlabel="Time", ylabel="Proportion"))
((seirc.fc.defs[1])[1]).args[1] == :seir_ode = true
((seirc.fc.defs[1])[1]).args == [:seir_ode, :dY, :Y, :p, :t] = true
Test Summary:    | Pass  Total
Running parse.jl |    3      3
[ Info: Tracing implementation with construct call
[ Info: constructing a vector
[ Info: constructing a vector
[ Info: constructing with type construct
[ Info: constructing a model Main.TraceTest.ODEProblem
[ Info: constructed model: Main.TraceTest.ODEProblem{typeof(Main.TraceTest.sir_ode2),Array{Float64,1},Tuple{Float64,Float64},Array{Float64,1}}(Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05])
[ Info: Tracing implementation without construct call
[ Info: constructing a vector
[ Info: constructing a vector
[ Info: Trace step for construct call
trace1.trace[4] = (SemanticModels.Dubstep.construct, (Main.TraceTest.ODEProblem, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]))
[ Info: Trace step for direct apply type
trace2.trace[4] = (Main.TraceTest.ODEProblem, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]) => Any[(Core.apply_type, (Main.TraceTest.ODEProblem, typeof(Main.TraceTest.sir_ode2), Array{Float64,1}, Tuple{Float64,Float64}, Array{Float64,1})), (Main.TraceTest.ODEProblem{typeof(Main.TraceTest.sir_ode2),Array{Float64,1},Tuple{Float64,Float64},Array{Float64,1}}, Main.TraceTest.sir_ode2, [0.99, 0.01, 0.0], (0.0, 200.0), [0.1, 0.05]) => Any[(Core.apply_type, (Main.TraceTest.ODEProblem, typeof(Main.TraceTest.sir_ode2), Array{Float64,1}, Tuple{Float64,Float64}, Array{Float64,1})), (convert, typeof(Main.TraceTest.sir_ode2), Main.TraceTest.sir_ode2) => Any[], (convert, Array{Float64,1}, [0.99, 0.01, 0.0]) => Any[(isa, [0.99, 0.01, 0.0], Array{Float64,1}) => Any[]], (convert, Array{Float64,1}, [0.1, 0.05]) => Any[(isa, [0.1, 0.05], Array{Float64,1}) => Any[]]]]
Test Summary:       | Pass  Total
Running cassette.jl |    9      9
[ Info: constructing a model ODEProblem
 31.472955 seconds (31.36 M allocations: 1.503 GiB, 6.62% gc time)
[ Info: constructing a model ODEProblem
  0.000973 seconds (513 allocations: 45.844 KiB)
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
Exception handling log message: [ Info: constructing a vector length 1
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
Exception handling log message: [ Info: constructing a vector length 1
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
Exception handling log message: [ Info: constructing a vector length 1
[ Info: constructing a vector length 2
[ Info: constructing a vector length 3
[ Info: constructing a model ODEProblem
[ Info: constructing a vector length 0
Exception handling log message: [ Info: constructing a vector length 1
s(100) = [0.41218651105899023, 0.1496991951264569, 0.43811429381455286]
(traces[i]).factor = 0.0
(traces[i]).extras[5] = -0.0
sum((traces[i]).extras) / length((traces[i]).extras) = -0.0
s(100) = [0.4005388762471866, 0.14920821365092884, 0.45025291010188456]
(traces[i]).factor = 0.01
(traces[i]).extras[5] = -9.912173929800464e-6
sum((traces[i]).extras) / length((traces[i]).extras) = -3.232801586216005e-5
s(100) = [0.34942985814171795, 0.153550449061602, 0.4970196927966799]
(traces[i]).factor = 0.05
(traces[i]).extras[5] = -4.956573806788313e-5
sum((traces[i]).extras) / length((traces[i]).extras) = -0.00016287679049702017
s(100) = [0.2921865934572505, 0.15333427043745704, 0.5544791361052926]
(traces[i]).factor = 0.1
(traces[i]).extras[5] = -9.914364440400845e-5
sum((traces[i]).extras) / length((traces[i]).extras) = -0.00035060604625442975
Test Summary:            | Pass  Total
Running transform/ode.jl |    4      4
┌ Info: Running example: 
└   file = "agentbased.jl"
┌ Info: Running example: 
└   file = "agentgraft.jl"
Running Agent Based Simulation Augmentation Demo
================================================
demo parameters:
	samples=7
	nsteps=10

Running basic model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I, :I]
newsam.agents = Symbol[:R, :S, :S, :R, :S, :S, :I, :S, :S, :R, :S, :S, :R, :S, :R, :I, :S, :R, :S, :S]
newsam.agents = Symbol[:S, :R, :S, :S, :I, :S, :S, :I, :R, :S, :R, :I, :S, :R, :S, :I, :S, :I, :S, :S]
newsam.agents = Symbol[:S, :S, :I, :S, :I, :S, :R, :I, :I, :S, :I, :S, :I, :I, :I, :I, :I, :R, :I, :S]
newsam.agents = Symbol[:S, :R, :S, :S, :S, :R, :S, :R, :R, :S, :R, :S, :S, :S, :S, :S, :S, :R, :S, :S]
newsam.agents = Symbol[:S, :I, :S, :I, :S, :S, :S, :S, :S, :S, :S, :R, :S, :S, :I, :R, :S, :S, :S, :S]
newsam.agents = Symbol[:S, :S, :I, :S, :S, :R, :I, :S, :S, :S, :S, :R, :I, :I, :I, :S, :S, :S, :R, :R]

The system states are Any[:(:S), :(:I), :(:R)]

Adding un estado de los muertos

The system states are Any[:(:S), :(:I), :(:R), :(:D)]

There is no resurrection in this model

Infected individuals recover or die in one step
m[:I] = :(x...->begin
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:74 =#
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:75 =#
          roll = mod(rand(Int), 3)
          #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:76 =#
          if roll == 1
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:77 =#
              return :R
          elseif #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:78 =# roll == 2
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:79 =#
              return :D
          else
              #= /root/.julia/packages/SemanticModels/2GkPI/test/agentgraft.jl:81 =#
              return :I
          end
      end)

Running SIRD model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:D, :D, :D, :R, :D, :I, :R, :D, :R, :S, :D, :R, :I, :S, :S, :S, :R, :R, :D, :D]
newsam.agents = Symbol[:S, :S, :D, :S, :S, :S, :I, :S, :I, :S, :I, :I, :S, :I, :I, :S, :S, :D, :D, :S]
newsam.agents = Symbol[:I, :S, :D, :D, :S, :D, :S, :S, :R, :D, :R, :D, :S, :S, :D, :S, :S, :D, :S, :D]
newsam.agents = Symbol[:D, :S, :D, :D, :I, :D, :S, :S, :D, :I, :S, :D, :I, :D, :D, :D, :D, :D, :R, :S]
newsam.agents = Symbol[:D, :S, :S, :D, :S, :S, :D, :R, :I, :D, :S, :I, :D, :S, :S, :D, :D, :D, :S, :D]
newsam.agents = Symbol[:S, :S, :D, :S, :S, :D, :D, :D, :S, :S, :S, :R, :S, :S, :S, :S, :S, :D, :D, :D]
newsam.agents = Symbol[:S, :S, :D, :I, :D, :S, :D, :D, :S, :S, :S, :S, :D, :D, :D, :S, :D, :D, :D, :S]

Adding population growth to this model
stepr = :(function tick!(sm::StateModel)
      #= none:57 =#
      sm.loads = map((s->begin
                      #= none:57 =#
                      stateload(sm, s)
                  end), sm.states)
  end)
------------------------
stepr = :(function tick!(sm::StateModel)
      #= none:57 =#
      sm.loads = map((s->begin
                      #= none:57 =#
                      stateload(sm, s)
                  end), sm.states)
      push!(sm.agents, :S)
  end)

Running growth model
WARNING: replacing module AgentModels.
newsam.agents = Symbol[:I, :D, :S, :D, :D, :D, :D, :D, :D, :I, :S, :R, :S, :S, :D, :D, :D, :D, :R, :S, :D, :S, :D, :D, :D, :S, :D, :R, :S, :S]
newsam.agents = Symbol[:D, :D, :S, :I, :R, :R, :S, :S, :D, :D, :I, :D, :S, :D, :D, :S, :S, :R, :I, :D, :D, :D, :D, :S, :D, :S, :S, :S, :D, :S]
newsam.agents = Symbol[:S, :I, :S, :S, :D, :D, :S, :I, :S, :D, :D, :I, :S, :S, :S, :S, :D, :D, :D, :D, :S, :S, :S, :S, :S, :S, :S, :S, :S, :S]
newsam.agents = Symbol[:D, :S, :S, :D, :S, :R, :S, :S, :S, :S, :S, :S, :S, :D, :S, :S, :D, :S, :S, :D, :S, :S, :S, :D, :D, :D, :S, :S, :S, :S]
newsam.agents = Symbol[:S, :D, :D, :D, :D, :D, :D, :D, :S, :D, :D, :S, :D, :I, :D, :R, :D, :I, :S, :D, :R, :D, :S, :R, :R, :R, :S, :S, :R, :S]
newsam.agents = Symbol[:R, :D, :S, :D, :D, :D, :R, :D, :S, :D, :S, :D, :D, :D, :D, :S, :S, :D, :S, :D, :S, :S, :S, :S, :S, :S, :S, :S, :S, :S]
newsam.agents = Symbol[:D, :S, :I, :I, :I, :R, :S, :R, :S, :D, :S, :S, :S, :D, :S, :S, :S, :D, :I, :I, :D, :I, :D, :D, :D, :S, :S, :I, :S, :S]

Model	 Counts
-----	 ------
basic	Pair{Symbol,Int64}[:S => 0, :I => 20, :R => 0]
basic	Pair{Symbol,Int64}[:S => 12, :I => 2, :R => 6]
basic	Pair{Symbol,Int64}[:S => 11, :I => 5, :R => 4]
basic	Pair{Symbol,Int64}[:S => 7, :I => 11, :R => 2]
basic	Pair{Symbol,Int64}[:S => 14, :I => 0, :R => 6]
basic	Pair{Symbol,Int64}[:S => 15, :I => 3, :R => 2]
basic	Pair{Symbol,Int64}[:S => 11, :I => 5, :R => 4]
sird	Pair{Symbol,Int64}[:S => 4, :I => 2, :R => 6, :D => 8]
sird	Pair{Symbol,Int64}[:S => 11, :I => 6, :R => 0, :D => 3]
sird	Pair{Symbol,Int64}[:S => 9, :I => 1, :R => 2, :D => 8]
sird	Pair{Symbol,Int64}[:S => 5, :I => 3, :R => 1, :D => 11]
sird	Pair{Symbol,Int64}[:S => 8, :I => 2, :R => 1, :D => 9]
sird	Pair{Symbol,Int64}[:S => 12, :I => 0, :R => 1, :D => 7]
sird	Pair{Symbol,Int64}[:S => 9, :I => 1, :R => 0, :D => 10]
growth	Pair{Symbol,Int64}[:S => 9, :I => 2, :R => 3, :D => 16]
growth	Pair{Symbol,Int64}[:S => 11, :I => 3, :R => 3, :D => 13]
growth	Pair{Symbol,Int64}[:S => 19, :I => 3, :R => 0, :D => 8]
growth	Pair{Symbol,Int64}[:S => 21, :I => 0, :R => 1, :D => 8]
growth	Pair{Symbol,Int64}[:S => 8, :I => 2, :R => 6, :D => 14]
growth	Pair{Symbol,Int64}[:S => 16, :I => 0, :R => 2, :D => 12]
growth	Pair{Symbol,Int64}[:S => 13, :I => 7, :R => 2, :D => 8]

Model	 Count 	 Num Unhealthy 	 Mean Healthy %
-----	 ------	 --------------	  --------------
growth	   7	  13.714	   46.19
sird	   7	  10.143	   41.429
basic	   7	  6.5714	   50.0
┌ Info: Running example: 
└   file = "modelmacro.jl"
WARNING: replacing module StatsMod.
┌ Info: Running example: 
└   file = "monomial_regression.jl"
m.f.args[2] = quote
    #= /root/.julia/packages/SemanticModels/2GkPI/test/monomial_regression.jl:31 =#
    return a * x ^ 4
end
MonomialRegressionModel(
  f=:(function f(a, x)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/monomial_regression.jl:31 =#
      return a * x ^ 4
  end),
  objective=:loss,
  coefficient=:a,
  interval=:(a₀ = [-1, 1]))
sol.ahat = (0.07675560563802719, 0.07675561308860779)
sol.loss(sol.ahat[1]) = 1.272917193612105
(m.f.args[2]).args[2] = :(return a * x ^ 3)
WARNING: replacing module Regression.
sol.ahat[1] = -0.15113633126020432
sol.loss(sol.ahat[1]) = 7.3042780214633485
WARNING: replacing module Regression.
(m.f.args[2]).args[2] = :(return a * x ^ 2)
sol.ahat[1] = 0.5053171217441559
sol.loss(sol.ahat[1]) = 0.13138597231804847
(m.f.args[2]).args[2] = :(return a * x ^ 1)
WARNING: replacing module Regression.
sol.ahat[1] = -0.5334461033344269
sol.loss(sol.ahat[1]) = 12.085208207912629
(m.f.args[2]).args[2] = :(return a * x ^ 0)
WARNING: replacing module Regression.
sol.ahat[1] = 0.6825762614607811
sol.loss(sol.ahat[1]) = 11.210639037376852
(m.f.args[2]).args[2] = :(return a * x ^ -1)
WARNING: replacing module Regression.
sol.ahat[1] = -0.0009050816297531128
sol.loss(sol.ahat[1]) = 15.868576720307619

Results:


i	p	â		l⋆
-----------------------------
0	4	0.0767556	1.2729172
1	3	-0.1511363	7.304278
2	2	0.5053171	0.131386
3	1	-0.5334461	12.0852082
4	0	0.6825763	11.210639
5	-1	-0.0009051	15.8685767
Model order 2 is the best with a=0.5053171217441559 and loss 0.13138597231804847
┌ Info: Running example: 
└   file = "multivariate_regression.jl"
WARNING: could not import ModelTools.AbstractProblem into Main
m = MultivariateLsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
poly((one(Pow) ^ 4)(deepcopy(m), 1)) = :(a .* x .^ 4 .+ b .* y .^ 0)
poly((one(Pow) ^ 4)(deepcopy(m), 2)) = :(a .* x .^ 0 .+ b .* y .^ 4)
T₁ = Product((one(Pow), zero(Pow))) = (Pow(1), Pow(0))
T₂ = Product((zero(Pow), one(Pow))) = (Pow(0), Pow(1))
(T₁ ^ 2 ∘ T₂ ^ 3)(deepcopy(m)) = MultivariateLsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
┌ Info: Running example: 
└   file = "polynomial_regression.jl"
WARNING: replacing module Regression.
m = Lsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
Tₓ = Pow(1) = Pow(1)
T₁ = AddConst() = AddConst()
poly(Tₓ(m)) = :((.+)(β[1] .* x .^ 1))
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5])]
poly(T₁(m)) = :(β[1] .* x .^ 1 .+ β[2] .* x .^ 0)
poly(Tₓ(m)) = :(β[1] .* x .^ 2 .+ β[2] .* x .^ 1)
poly(Tₓ(m)) = :(β[1] .* x .^ 3 .+ β[2] .* x .^ 2)
p = :(β[1] .* x .^ 3 .+ β[2] .* x .^ 2)
assigns = Expr[:(a₀ = [1.5, 1])]
poly(T₁(m)) = :(.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 0))
WARNING: replacing module Regression.
WARNING: replacing module Regression.
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5])]
p = :(β[1] .* x .^ 2 .+ β[2] .* x .^ 1)
assigns = Expr[:(a₀ = [1.5, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5, 1, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 4, β[2] .* x .^ 3, β[3] .* x .^ 2, β[4] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5, 1, 1, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 5, β[2] .* x .^ 4, β[3] .* x .^ 3, β[4] .* x .^ 2, β[5] .* x .^ 1))
assigns = Expr[:(a₀ = [1.5, 1, 1, 1, 1])]
DoF: 1	Poly: x^{0}
Residual: 70.6389	β̂: [0.5516])
ℓ₁ norm of β̂: 0.5516
--------------------------------------------------------


DoF: 2	Poly: x^{1, 0}
Residual: 39.7563	β̂: [1.4151, 0.4805])
ℓ₁ norm of β̂: 1.8956
--------------------------------------------------------


DoF: 3	Poly: x^{2, 1, 0}
Residual: 47.3024	β̂: [0.3991, 1.6823, 0.082])
ℓ₁ norm of β̂: 2.1633999999999998
--------------------------------------------------------


DoF: 4	Poly: x^{3, 2, 1, 0}
Residual: 0.0195	β̂: [0.5, 0.5, 0.0, 0.0])
ℓ₁ norm of β̂: 1.0
--------------------------------------------------------


DoF: 5	Poly: x^{4, 3, 2, 1, 0}
Residual: 0.0196	β̂: [-0.0, 0.5, 0.5001, -0.0, -0.0001])
ℓ₁ norm of β̂: 1.0002
--------------------------------------------------------


WARNING: replacing module Regression.
p = :((.+)(β[1] .* x .^ 2))
assigns = Expr[:(a₀ = [1.5])]
WARNING: replacing module Regression.
p = :(β[1] .* x .^ 4 .+ β[2] .* x .^ 2)
assigns = Expr[:(a₀ = [1.5, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 6, β[2] .* x .^ 4, β[3] .* x .^ 2))
assigns = Expr[:(a₀ = [1.5, 1, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 8, β[2] .* x .^ 6, β[3] .* x .^ 4, β[4] .* x .^ 2))
assigns = Expr[:(a₀ = [1.5, 1, 1, 1])]
WARNING: replacing module Regression.
p = :(.+(β[1] .* x .^ 10, β[2] .* x .^ 8, β[3] .* x .^ 6, β[4] .* x .^ 4, β[5] .* x .^ 2))
assigns = Expr[:(a₀ = [1.5, 1, 1, 1, 1])]
DoF: 1	Poly: x^{0}
Residual: 68.433	β̂: [0.5964])
ℓ₁ norm of β̂: 0.5964
--------------------------------------------------------


DoF: 2	Poly: x^{2, 0}
Residual: 66.4205	β̂: [0.5975, -0.0508])
ℓ₁ norm of β̂: 0.6483
--------------------------------------------------------


DoF: 3	Poly: x^{4, 2, 0}
Residual: 60.4888	β̂: [0.0992, 0.0846, 0.17])
ℓ₁ norm of β̂: 0.3538
--------------------------------------------------------


DoF: 4	Poly: x^{6, 4, 2, 0}
Residual: 44.0915	β̂: [-0.0197, 0.1513, 0.1151, 0.1055])
ℓ₁ norm of β̂: 0.39159999999999995
--------------------------------------------------------


DoF: 5	Poly: x^{8, 6, 4, 2, 0}
Residual: 53.7972	β̂: [-0.0008, -0.0281, 0.3092, -0.1019, 0.1172])
ℓ₁ norm of β̂: 0.5571999999999999
--------------------------------------------------------


┌ Info: Running example: 
└   file = "workflow.jl"
Running Agent Based Simulation Augmentation Demo
================================================
demo parameters:
	samples=100
	nsteps=25

Running basic model
WARNING: replacing module AgentModels.
AgentModels = Main.AgentModels
======= . Simulation 1  ========
======= . Simulation 2  ========
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======= . Simulation 4  ========
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======= . Simulation 22  ========
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======= . Simulation 25  ========
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======= . Simulation 27  ========
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======= . Simulation 30  ========
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======= . Simulation 32  ========
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======= . Simulation 100  ========
length(finalcounts) = 100
WARNING: replacing module Regression.
size(Data) = (100, 3)
size(Data) = (100, 3)
m = Lsq(
  f=:f,
  coefficient=:β,
  p₀=:a₀
)
Tₓ = Pow(1) = Pow(1)
T₁ = AddConst() = AddConst()
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.0])]
poly(m) = :((.+)(β[1] .* x .^ 0))
WARNING: replacing module Regression.
m′.expr = :(module Regression
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:71 =#
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:72 =#
  using Random
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:73 =#
  using LsqFit
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:74 =#
  using LinearAlgebra
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:76 =#
  function f(x, β)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:79 =#
      return β[1] .* x .^ 1 .+ β[2] .* x .^ 0
  end
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:82 =#
  function sample(g::Function, n)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:83 =#
      x = randn(Float64, n)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:84 =#
      target = g(x) .+ randn(Float64, n[1]) ./ 1600
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:85 =#
      return (x, target)
  end
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:88 =#
  function describe(fit)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:89 =#
      if !(fit.converged)
          #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:90 =#
          error("Did not converge")
      end
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:92 =#
      return (β = fit.param, r = norm(fit.resid, 2), n = length(fit.resid))
  end
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:95 =#
  a₀ = [1.0, 1]
  #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:96 =#
  function main(X, target)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:98 =#
      fit = curve_fit(f, X, target, a₀)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:99 =#
      result = describe(fit)
      #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:100 =#
      return (fit, result)
  end
  end)
size(Data) = (100, 3)
WARNING: replacing module AgentModels.
size(Data) = (100, 3)
WARNING: replacing module Regression.
LsqFit.LsqFitResult{Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,1}}([6.559999999999998], [4.559999999999998, 5.559999999999998, -6.440000000000002, 4.559999999999998, 4.559999999999998, 2.559999999999998, -7.440000000000002, 6.559999999999998, 0.5599999999999978, 5.559999999999998, -3.440000000000002, -10.440000000000001, 3.559999999999998, 0.5599999999999978, 0.5599999999999978, 0.5599999999999978, 1.5599999999999978, 0.5599999999999978, -0.44000000000000217, 6.559999999999998, -0.44000000000000217, -8.440000000000001, 4.559999999999998, 4.559999999999998, 6.559999999999998, 1.5599999999999978, 3.559999999999998, -5.440000000000002, 3.559999999999998, -3.440000000000002, -7.440000000000002, 2.559999999999998, 1.5599999999999978, -8.440000000000001, -7.440000000000002, -4.440000000000002, -4.440000000000002, 6.559999999999998, 3.559999999999998, -7.440000000000002, 4.559999999999998, 2.559999999999998, 6.559999999999998, -8.440000000000001, 0.5599999999999978, -13.440000000000001, 4.559999999999998, -1.4400000000000022, 3.559999999999998, 1.5599999999999978, 4.559999999999998, -3.440000000000002, 1.5599999999999978, 4.559999999999998, 3.559999999999998, -4.440000000000002, -2.440000000000002, 3.559999999999998, 0.5599999999999978, 4.559999999999998, -4.440000000000002, 2.559999999999998, -4.440000000000002, 5.559999999999998, 4.559999999999998, -3.440000000000002, 4.559999999999998, -9.440000000000001, -13.440000000000001, -12.440000000000001, 4.559999999999998, 2.559999999999998, 5.559999999999998, 6.559999999999998, -6.440000000000002, 3.559999999999998, -13.440000000000001, 5.559999999999998, 0.5599999999999978, 2.559999999999998, 0.5599999999999978, 0.5599999999999978, 5.559999999999998, -10.440000000000001, 0.5599999999999978, 4.559999999999998, 1.5599999999999978, -2.440000000000002, 4.559999999999998, -5.440000000000002, -4.440000000000002, -2.440000000000002, 6.559999999999998, -1.4400000000000022, 4.559999999999998, 6.559999999999998, -13.440000000000001, 5.559999999999998, 0.5599999999999978, 2.559999999999998], [0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292; 0.9999999999958292], true, Float64[])
==========
(β = [6.559999999999998], r = 54.851071092550235, n = 100)
==========
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.0])]
p = :(β[1] .* x .^ 2 .+ β[2] .* x .^ 1)
assigns = Expr[:(a₀ = [1.0, 1])]
WARNING: replacing module AgentModels.
size(Data) = (100, 3)
WARNING: replacing module Regression.

Initial Pipeline
----------------
(P.steps[1]).states = :([:S, :I, :R])
poly(P.steps[2]) = :((.+)(β[1] .* x .^ 0))


Applying the first pair of transformations
------------------------------------------

The system states are Any[:(:S), :(:I), :(:R)]

Adding un estado de los muertos

The system states are Any[:(:S), :(:I), :(:R), :(:D)]

There is no resurrection in this model

Infected individuals recover or die in one step
m[:I] = :(x...->begin
          #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:385 =#
          #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:386 =#
          roll = rand()
          #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:387 =#
          if roll < ρ
              #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:388 =#
              return :R
          elseif #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:389 =# rand(Bool)
              #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:390 =#
              return :D
          else
              #= /root/.julia/packages/SemanticModels/2GkPI/test/workflow.jl:392 =#
              return :I
          end
      end)
(P.steps[1]).states = :([:S, :I, :R, :D])
poly(P.steps[2]) = :((.+)(β[1] .* x .^ 1))


Applying the second pair of transformations
-------------------------------------------
p = :((.+)(β[1] .* x .^ 1))
assigns = Expr[:(a₀ = [1.0])]

Adding population growth to this model
stepr = :(function tick!(sm::StateModel)
      #= none:59 =#
      sm.loads = map((s->begin
                      #= none:59 =#
                      stateload(sm, s)
                  end), sm.states)
      #= none:60 =#
      return sm.loads
  end)
------------------------
stepr = :(function tick!(sm::StateModel)
      #= none:59 =#
      sm.loads = map((s->begin
                      #= none:59 =#
                      stateload(sm, s)
                  end), sm.states)
      #= none:60 =#
      return sm.loads
      push!(sm.agents, :S)
  end)
p = :(β[1] .* x .^ 2 .+ β[2] .* x .^ 1)
assigns = Expr[:(a₀ = [1.0, 1])]
p = :(.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 1))
assigns = Expr[:(a₀ = [1.0, 1, 1])]


The final model state
---------------------
function tick!(sm::StateModel)
    #= none:59 =#
    sm.loads = map((s->begin
                    #= none:59 =#
                    stateload(sm, s)
                end), sm.states)
    #= none:60 =#
    return sm.loads
    push!(sm.agents, :S)
end
poly(P.steps[2]) = :(.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 1, β[4] .* x .^ 0))
WARNING: replacing module AgentModels.
Mod = Main.AgentModels
size(Data) = (100, 4)
WARNING: replacing module Regression.
ρ	f(ρ,β)
==============
0.0	15.189
0.05	14.247
0.1	13.278
0.15	12.289
0.2	11.29
0.25	10.287
0.3	9.29
0.35	8.306
0.4	7.344
0.45	6.412
0.5	5.518
0.55	4.671
0.6	3.878
0.65	3.149
0.7	2.49
0.75	1.91
0.8	1.418
0.85	1.022
0.9	0.729
0.95	0.549
1.0	0.489
[ Info: Loading Plots, this may take a while
[ Info: Making plots, this may take a while
β: [10.950560188895514, -7.143095712217819, -18.507755964243287, 15.189255637460388]
.+(β[1] .* x .^ 3, β[2] .* x .^ 2, β[3] .* x .^ 1, β[4] .* x .^ 0)
┌ Info: Running example: 
└   file = "pseudo_polynomial_regression.jl"
WARNING: using Polynomials.poly in module Main conflicts with an existing identifier.
bodyblock(m.f) = Any[:(#= /root/.julia/packages/SemanticModels/2GkPI/test/pseudo_polynomial_regression.jl:32 =#), :(y = first(a) * x ^ 0), :(#= /root/.julia/packages/SemanticModels/2GkPI/test/pseudo_polynomial_regression.jl:33 =#), :(return y)]
WARNING: replacing module Regression.
WARNING: replacing module Regression.
WARNING: replacing module Regression.
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(0), x))
sol.ahat[1] = -1
sol.loss(sol.ahat[1]) = 20.13038665673438
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.5020807608962059
sol.loss(sol.ahat[1]) = 4.592980186575482
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(2*x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.25104037672281265
sol.loss(sol.ahat[1]) = 4.592980186575492
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(x), x))
WARNING: replacing module Regression.
sol.ahat[1] = -0.13085374981164932
sol.loss(sol.ahat[1]) = 19.902665298586488
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(x + x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.6143628656864166
sol.loss(sol.ahat[1]) = 2.187454550179506
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(x + 2*x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.29335421323776245
sol.loss(sol.ahat[1]) = 2.484606630021387
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.9999999925494194
sol.loss(sol.ahat[1]) = 9.069784234818242
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.42221833020448685
sol.loss(sol.ahat[1]) = 2.618319243042377
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + 2*x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.23381679505109787
sol.loss(sol.ahat[1]) = 3.1968217851927285
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + x), x))
WARNING: replacing module Regression.
WARNING: replacing module Regression.
sol.ahat[1] = 0.48516687750816345
sol.loss(sol.ahat[1]) = 15.865756420964225
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + x + x^2), x))
WARNING: replacing module Regression.
sol.ahat[1] = 0.5032734870910645
sol.loss(sol.ahat[1]) = 0.13228245782573908
(m.f.args[2]).args[2] = :(y = first(a) * polyval(Poly(1 + x + 2*x^2), x))
sol.ahat[1] = 0.26868781447410583
sol.loss(sol.ahat[1]) = 1.1389708980451678

Results:


i	â         ℓ⋆ 		poly
----------------------------------------------
0     -1      20.1300     Poly(0)
0      0.5021      4.5930     Poly(x^2)
0      0.2510      4.5930     Poly(2*x^2)
0     -0.1308      19.9030     Poly(x)
0      0.6144      2.1875     Poly(x + x^2)
0      0.2933      2.4846     Poly(x + 2*x^2)
1      1.0000      9.0698     Poly(1)
1      0.4222      2.6183     Poly(1 + x^2)
1      0.2338      3.1968     Poly(1 + 2*x^2)
1      0.4852      15.8660     Poly(1 + x)
1      0.5033      0.1323     Poly(1 + x + x^2)
1      0.2687      1.1390     Poly(1 + x + 2*x^2)
Model order Poly(1 + x + x^2) is the best with a= 0.5033 and loss  0.1323
┌ Info: Running example: 
└   file = "odegraft.jl"
matches = Expr[:(ODEProblem(seir_ode, init, tspan, pram))]
matches = Expr[:(ODEProblem(micro_1, init, tspan, parms))]
model1.expr = :(module SEIRmodel
  #= none:16 =#
  #= none:17 =#
  using DifferentialEquations
  #= none:20 =#
  function var"##seir_ode#424"(dY, Y, p, t, r)
      N = sum(Y)
      #= none:22 =#
      β = p[1]
      #= none:24 =#
      σ = p[2]
      #= none:26 =#
      γ = p[3]
      #= none:28 =#
      μ = p[4]
      #= none:31 =#
      S = Y[1]
      #= none:33 =#
      E = Y[2]
      #= none:35 =#
      I = Y[3]
      #= none:39 =#
      dY[1] = r * (1 - S / N) * S + ((μ - β * S * I) - μ * S)
      #= none:40 =#
      dY[2] = β * S * I - (σ + μ) * E
      #= none:41 =#
      dY[3] = σ * E - (γ + μ) * I
  end
  #= none:44 =#
  function main(λ)
      #= none:46 =#
      pram = [520 / 365, 1 / 60, 1 / 30, 774835 / (65640000 * 365)]
      #= none:48 =#
      init = [0.8, 0.1, 0.1]
      #= none:49 =#
      tspan = (0.0, 365.0)
      #= none:51 =#
      seir_prob = ODEProblem(((du, u, p, t)->begin
                      #= /root/.julia/packages/SemanticModels/2GkPI/test/odegraft.jl:85 =#
                      var"##seir_ode#424"(du, u, p, t, λ)
                  end), init, tspan, pram)
      #= none:53 =#
      sol = solve(seir_prob)
      #= none:54 =#
      return sol
  end
  end)
WARNING: replacing module SEIRmodel.
S	I	R
4.1396833928109084e-5	1.5129405629448422	1.2314283588495585
3.319438797150202e-5	1.7926580206599978	1.4394889794159766
2.730736219785036e-5	2.096233539859458	1.6601779149317446
2.2813032119616296e-5	2.424996355132723	1.893723431103989
1.944287409294006e-5	2.778354951733437	2.13895239747031
1.695225381906384e-5	3.1545278797461362	2.3937933230403843
Test Summary:     | Pass  Total
Test all examples |    9      9
   Testing SemanticModels tests passed