Package evaluation to test GModelFitViewer on Julia 1.14.0-DEV.1871 (50d44f5be7*) started at 2026-03-08T23:20:43.690


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.14`

Set-up completed after 14.74s


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# Installation
#

Installing GModelFitViewer...
   Resolving package versions...
   Installed TypedJSON ─────────────────── v0.1.2
   Installed CompositionsBase ──────────── v0.1.2
   Installed MacroTools ────────────────── v0.5.16
   Installed GModelFit ─────────────────── v0.8.0
   Installed CommonSolve ───────────────── v0.2.6
   Installed DiffResults ───────────────── v1.1.0
   Installed ForwardDiff ───────────────── v1.3.2
   Installed DataStructures ────────────── v0.19.3
   Installed Rmath_jll ─────────────────── v0.5.1+0
   Installed FillArrays ────────────────── v1.16.0
   Installed ConstructionBase ──────────── v1.6.0
   Installed MKL_jll ───────────────────── v2025.2.0+0
   Installed HypergeometricFunctions ───── v0.3.28
   Installed RuntimeGeneratedFunctions ─── v0.5.17
   Installed Adapt ─────────────────────── v4.5.0
   Installed oneTBB_jll ────────────────── v2022.0.0+1
   Installed CurveFit ──────────────────── v1.7.0
   Installed AliasTables ───────────────── v1.1.3
   Installed StatsBase ─────────────────── v0.34.10
   Installed LineSearch ────────────────── v0.1.6
   Installed SymbolicIndexingInterface ─── v0.3.46
   Installed SciMLJacobianOperators ────── v0.1.12
   Installed ExprTools ─────────────────── v0.1.10
   Installed IteratorInterfaceExtensions ─ v1.0.0
   Installed Krylov ────────────────────── v0.10.5
   Installed Compat ────────────────────── v4.18.1
   Installed OrderedCollections ────────── v1.8.1
   Installed PreallocationTools ────────── v1.1.2
   Installed ArrayInterface ────────────── v7.23.0
   Installed DataAPI ───────────────────── v1.16.0
   Installed CMPFit ────────────────────── v0.3.5
   Installed RecipesBase ───────────────── v1.3.4
   Installed EnzymeCore ────────────────── v0.8.18
   Installed Statistics ────────────────── v1.11.1
   Installed TensorCore ────────────────── v0.1.1
   Installed SciMLOperators ────────────── v1.15.1
   Installed PrecompileTools ───────────── v1.3.3
   Installed StatsAPI ──────────────────── v1.8.0
   Installed FunctionWrappersWrappers ──── v0.1.3
   Installed ExproniconLite ────────────── v0.10.14
   Installed IntelOpenMP_jll ───────────── v2025.2.0+0
   Installed LsqFit ────────────────────── v0.15.1
   Installed TimerOutputs ──────────────── v0.5.29
   Installed CommonSubexpressions ──────── v0.3.1
   Installed Colors ────────────────────── v0.13.1
   Installed DataValueInterfaces ───────── v1.0.0
   Installed LoggingExtras ─────────────── v1.2.0
   Installed SciMLStructures ───────────── v1.10.0
   Installed StaticArraysCore ──────────── v1.4.4
   Installed ConcreteStructs ───────────── v0.2.3
   Installed FastRationals ─────────────── v0.3.2
   Installed ReplMaker ─────────────────── v0.2.7
   Installed ChainRulesCore ────────────── v1.26.0
   Installed ProgressMeter ─────────────── v1.11.0
   Installed GPUArraysCore ─────────────── v0.2.0
   Installed StructUtils ───────────────── v2.6.3
   Installed IrrationalConstants ───────── v0.2.6
   Installed QuadGK ────────────────────── v2.11.2
   Installed NaNMath ───────────────────── v1.1.3
   Installed SciMLPublic ───────────────── v1.0.1
   Installed ColorVectorSpace ──────────── v0.11.0
   Installed ColorTypes ────────────────── v0.12.1
   Installed OpenSpecFun_jll ───────────── v0.5.6+0
   Installed FunctionWrappers ──────────── v1.1.3
   Installed LogExpFunctions ───────────── v0.3.29
   Installed DefaultApplication ────────── v1.1.0
   Installed Requires ──────────────────── v1.3.1
   Installed DiffRules ─────────────────── v1.15.1
   Installed StringManipulation ────────── v0.4.4
   Installed JSON ──────────────────────── v1.4.0
   Installed NonlinearSolveBase ────────── v2.15.0
   Installed Parsers ───────────────────── v2.8.3
   Installed Distributions ─────────────── v0.25.123
   Installed NonlinearSolveFirstOrder ──── v2.0.0
   Installed Rmath ─────────────────────── v0.9.0
   Installed PrettyTables ──────────────── v3.2.3
   Installed SciMLBase ─────────────────── v2.148.0
   Installed LinearSolve ───────────────── v3.64.0
   Installed FiniteDiff ────────────────── v2.29.0
   Installed FastClosures ──────────────── v0.3.2
   Installed StatsFuns ─────────────────── v1.5.2
   Installed Tables ────────────────────── v1.12.1
   Installed Gnuplot ───────────────────── v1.7.0
   Installed NLSolversBase ─────────────── v7.10.0
   Installed GModelFitViewer ───────────── v0.5.1
   Installed PtrArrays ─────────────────── v1.4.0
   Installed SciMLLogging ──────────────── v1.9.1
   Installed InverseFunctions ──────────── v0.1.17
   Installed Reexport ──────────────────── v1.2.2
   Installed EnumX ─────────────────────── v1.0.7
   Installed SpecialFunctions ──────────── v2.7.1
   Installed Jieko ─────────────────────── v0.2.1
   Installed Missings ──────────────────── v1.2.0
   Installed FixedPointNumbers ─────────── v0.8.5
   Installed JLLWrappers ───────────────── v1.7.1
   Installed TableTraits ───────────────── v1.0.1
   Installed Setfield ──────────────────── v1.1.2
   Installed MaybeInplace ──────────────── v0.1.4
   Installed SortingAlgorithms ─────────── v1.2.2
   Installed LaTeXStrings ──────────────── v1.4.0
   Installed GZip ──────────────────────── v0.6.2
   Installed PDMats ────────────────────── v0.11.37
   Installed Preferences ───────────────── v1.5.2
   Installed Moshi ─────────────────────── v0.3.7
   Installed Crayons ───────────────────── v4.1.1
   Installed StructC14N ────────────────── v0.3.2
   Installed ADTypes ───────────────────── v1.21.0
   Installed DocStringExtensions ───────── v0.9.5
   Installed RecursiveArrayTools ───────── v3.48.0
   Installed Accessors ─────────────────── v0.1.43
   Installed DifferentiationInterface ──── v0.7.16
   Installed ColorSchemes ──────────────── v3.31.0
  Installing 3 artifacts
   Installed artifact libmpfit    16.1 KiB
   Installed artifact Rmath       121.9 KiB
   Installed artifact OpenSpecFun 194.9 KiB
    Updating `~/.julia/environments/v1.14/Project.toml`
  [5d93b50e] + GModelFitViewer v0.5.1
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [47edcb42] + ADTypes v1.21.0
  [7d9f7c33] + Accessors v0.1.43
  [79e6a3ab] + Adapt v4.5.0
  [66dad0bd] + AliasTables v1.1.3
  [4fba245c] + ArrayInterface v7.23.0
  [a5944310] + CMPFit v0.3.5
  [d360d2e6] + ChainRulesCore v1.26.0
  [35d6a980] + ColorSchemes v3.31.0
  [3da002f7] + ColorTypes v0.12.1
  [c3611d14] + ColorVectorSpace v0.11.0
  [5ae59095] + Colors v0.13.1
  [38540f10] + CommonSolve v0.2.6
  [bbf7d656] + CommonSubexpressions v0.3.1
  [34da2185] + Compat v4.18.1
  [a33af91c] + CompositionsBase v0.1.2
  [2569d6c7] + ConcreteStructs v0.2.3
  [187b0558] + ConstructionBase v1.6.0
  [a8cc5b0e] + Crayons v4.1.1
  [5a033b19] + CurveFit v1.7.0
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.19.3
  [e2d170a0] + DataValueInterfaces v1.0.0
  [3f0dd361] + DefaultApplication v1.1.0
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [a0c0ee7d] + DifferentiationInterface v0.7.16
  [31c24e10] + Distributions v0.25.123
  [ffbed154] + DocStringExtensions v0.9.5
  [4e289a0a] + EnumX v1.0.7
  [f151be2c] + EnzymeCore v0.8.18
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [9aa1b823] + FastClosures v0.3.2
  [275e499e] + FastRationals v0.3.2
  [1a297f60] + FillArrays v1.16.0
  [6a86dc24] + FiniteDiff v2.29.0
  [53c48c17] + FixedPointNumbers v0.8.5
  [f6369f11] + ForwardDiff v1.3.2
  [069b7b12] + FunctionWrappers v1.1.3
  [77dc65aa] + FunctionWrappersWrappers v0.1.3
  [ac42e6ba] + GModelFit v0.8.0
  [5d93b50e] + GModelFitViewer v0.5.1
  [46192b85] + GPUArraysCore v0.2.0
  [92fee26a] + GZip v0.6.2
  [dc211083] + Gnuplot v1.7.0
  [34004b35] + HypergeometricFunctions v0.3.28
  [3587e190] + InverseFunctions v0.1.17
  [92d709cd] + IrrationalConstants v0.2.6
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.1
  [682c06a0] + JSON v1.4.0
  [ae98c720] + Jieko v0.2.1
  [ba0b0d4f] + Krylov v0.10.5
  [b964fa9f] + LaTeXStrings v1.4.0
  [87fe0de2] + LineSearch v0.1.6
  [7ed4a6bd] + LinearSolve v3.64.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.2.0
  [2fda8390] + LsqFit v0.15.1
  [1914dd2f] + MacroTools v0.5.16
  [bb5d69b7] + MaybeInplace v0.1.4
  [e1d29d7a] + Missings v1.2.0
  [2e0e35c7] + Moshi v0.3.7
⌅ [d41bc354] + NLSolversBase v7.10.0
  [77ba4419] + NaNMath v1.1.3
  [be0214bd] + NonlinearSolveBase v2.15.0
  [5959db7a] + NonlinearSolveFirstOrder v2.0.0
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.37
  [69de0a69] + Parsers v2.8.3
  [d236fae5] + PreallocationTools v1.1.2
  [aea7be01] + PrecompileTools v1.3.3
  [21216c6a] + Preferences v1.5.2
  [08abe8d2] + PrettyTables v3.2.3
  [92933f4c] + ProgressMeter v1.11.0
  [43287f4e] + PtrArrays v1.4.0
  [1fd47b50] + QuadGK v2.11.2
  [3cdcf5f2] + RecipesBase v1.3.4
  [731186ca] + RecursiveArrayTools v3.48.0
  [189a3867] + Reexport v1.2.2
  [b873ce64] + ReplMaker v0.2.7
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.9.0
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.17
  [0bca4576] + SciMLBase v2.148.0
  [19f34311] + SciMLJacobianOperators v0.1.12
  [a6db7da4] + SciMLLogging v1.9.1
  [c0aeaf25] + SciMLOperators v1.15.1
  [431bcebd] + SciMLPublic v1.0.1
  [53ae85a6] + SciMLStructures v1.10.0
  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.2
  [276daf66] + SpecialFunctions v2.7.1
  [1e83bf80] + StaticArraysCore v1.4.4
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.8.0
  [2913bbd2] + StatsBase v0.34.10
  [4c63d2b9] + StatsFuns v1.5.2
  [892a3eda] + StringManipulation v0.4.4
  [d2514e9c] + StructC14N v0.3.2
  [ec057cc2] + StructUtils v2.6.3
  [2efcf032] + SymbolicIndexingInterface v0.3.46
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [62fd8b95] + TensorCore v0.1.1
  [a759f4b9] + TimerOutputs v0.5.29
  [82102e82] + TypedJSON v0.1.2
  [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0
  [856f044c] + MKL_jll v2025.2.0+0
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [1317d2d5] + oneTBB_jll v2022.0.0+1
  [0dad84c5] + ArgTools v1.1.2
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [f43a241f] + Downloads v1.7.0
  [7b1f6079] + FileWatching v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0
  [4af54fe1] + LazyArtifacts v1.11.0
  [b27032c2] + LibCURL v1.0.0
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.14.0
  [de0858da] + Printf v1.11.0
  [3fa0cd96] + REPL v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v1.0.0
  [9e88b42a] + Serialization v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.13.0
  [f489334b] + StyledStrings v1.13.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [a4e569a6] + Tar v1.10.0
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] + LibCURL_jll v8.18.0+0
  [e37daf67] + LibGit2_jll v1.9.2+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.12.2
  [4536629a] + OpenBLAS_jll v0.3.30+0
  [05823500] + OpenLibm_jll v0.8.7+0
  [458c3c95] + OpenSSL_jll v3.5.5+0
  [efcefdf7] + PCRE2_jll v10.47.0+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.2+0
  [3161d3a3] + Zstd_jll v1.5.7+1
  [8e850b90] + libblastrampoline_jll v5.15.0+0
  [8e850ede] + nghttp2_jll v1.68.0+1
  [3f19e933] + p7zip_jll v17.7.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 12.5s


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# Precompilation
#

Precompiling PkgEval dependencies...
Precompiling packages...
   5259.7 ms  ✓ TestEnv
  1 dependency successfully precompiled in 5 seconds. 27 already precompiled.

Precompiling package dependencies...
Precompiling packages...
   5054.4 ms  ✓ MacroTools
    878.4 ms  ✓ Reexport
   1058.2 ms  ✓ TensorCore
   1266.3 ms  ✓ ConstructionBase
   2272.8 ms  ✓ IrrationalConstants
    828.8 ms  ✓ DataValueInterfaces
    973.1 ms  ✓ StatsAPI
    868.8 ms  ✓ CommonSolve
    921.2 ms  ✓ LaTeXStrings
   1215.8 ms  ✓ Statistics
   1054.2 ms  ✓ StaticArraysCore
   1419.5 ms  ✓ EnzymeCore
    903.4 ms  ✓ PtrArrays
    865.4 ms  ✓ DataAPI
    934.5 ms  ✓ SciMLPublic
   3801.9 ms  ✓ ExproniconLite
    975.4 ms  ✓ InverseFunctions
   1175.3 ms  ✓ FastRationals
    890.2 ms  ✓ CompositionsBase
    969.6 ms  ✓ EnumX
   2349.3 ms  ✓ FillArrays
    969.6 ms  ✓ ExprTools
    848.7 ms  ✓ ConcreteStructs
   1438.8 ms  ✓ OrderedCollections
   1507.1 ms  ✓ FunctionWrappers
   1476.8 ms  ✓ ADTypes
   1186.7 ms  ✓ DocStringExtensions
    876.5 ms  ✓ FastClosures
   1674.0 ms  ✓ OffsetArrays
    878.6 ms  ✓ IteratorInterfaceExtensions
   1981.7 ms  ✓ Crayons
  15890.2 ms  ✓ Krylov
   1043.2 ms  ✓ NaNMath
   1242.9 ms  ✓ Requires
   1176.4 ms  ✓ GZip
   2106.9 ms  ✓ PDMats
   1595.5 ms  ✓ WoodburyMatrices
   1536.7 ms  ✓ LoggingExtras
   1809.5 ms  ✓ StructUtils
   1921.0 ms  ✓ ProgressMeter
   1506.9 ms  ✓ DefaultApplication
   1200.2 ms  ✓ Compat
   1480.4 ms  ✓ Preferences
   3049.5 ms  ✓ ReplMaker
   5607.8 ms  ✓ CMPFit
   1764.0 ms  ✓ CommonSubexpressions
    840.1 ms  ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt
   1700.7 ms  ✓ Statistics → SparseArraysExt
   3952.4 ms  ✓ FixedPointNumbers
    925.3 ms  ✓ DiffResults
   1046.6 ms  ✓ AliasTables
    989.4 ms  ✓ Missings
   3330.3 ms  ✓ Jieko
   1296.4 ms  ✓ InverseFunctions → InverseFunctionsDatesExt
   1716.8 ms  ✓ InverseFunctions → InverseFunctionsTestExt
    830.0 ms  ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt
   1782.1 ms  ✓ FillArrays → FillArraysSparseArraysExt
   1084.0 ms  ✓ FillArrays → FillArraysStatisticsExt
   3483.3 ms  ✓ TimerOutputs
    930.2 ms  ✓ RuntimeGeneratedFunctions
   3905.2 ms  ✓ DataStructures
    823.8 ms  ✓ FunctionWrappersWrappers
    801.0 ms  ✓ ADTypes → ADTypesConstructionBaseExt
   1925.7 ms  ✓ DifferentiationInterface
    810.0 ms  ✓ ADTypes → ADTypesEnzymeCoreExt
   1413.3 ms  ✓ LogExpFunctions
    811.6 ms  ✓ TableTraits
    867.3 ms  ✓ Ratios
    981.6 ms  ✓ Adapt
   1728.4 ms  ✓ FillArrays → FillArraysPDMatsExt
   1631.8 ms  ✓ AxisAlgorithms
    841.6 ms  ✓ Compat → CompatLinearAlgebraExt
   1262.4 ms  ✓ PrecompileTools
   1585.6 ms  ✓ JLLWrappers
   2289.8 ms  ✓ SciMLLogging
   3068.2 ms  ✓ Setfield
   2858.3 ms  ✓ ColorTypes
  17073.2 ms  ✓ Moshi
   5783.2 ms  ✓ Accessors
   1285.4 ms  ✓ SortingAlgorithms
   2503.6 ms  ✓ QuadGK
   1045.2 ms  ✓ StructC14N
   1570.8 ms  ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt
    846.2 ms  ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt
   2017.7 ms  ✓ Tables
    930.3 ms  ✓ Ratios → RatiosFixedPointNumbersExt
   1194.9 ms  ✓ ArrayInterface
   1479.6 ms  ✓ Adapt → AdaptSparseArraysExt
   1334.8 ms  ✓ GPUArraysCore
    783.8 ms  ✓ EnzymeCore → AdaptExt
    870.5 ms  ✓ OffsetArrays → OffsetArraysAdaptExt
   2880.4 ms  ✓ ChainRulesCore
   4124.2 ms  ✓ StringManipulation
  15142.6 ms  ✓ StaticArrays
   3781.2 ms  ✓ RecipesBase
  18180.4 ms  ✓ Parsers
   2528.1 ms  ✓ Rmath_jll
   2511.5 ms  ✓ OpenSpecFun_jll
   5998.8 ms  ✓ IntelOpenMP_jll
   6278.9 ms  ✓ oneTBB_jll
   1587.3 ms  ✓ ColorTypes → StyledStringsExt
   8533.0 ms  ✓ Colors
   4194.5 ms  ✓ ColorVectorSpace
   2282.0 ms  ✓ Accessors → TestExt
   2805.0 ms  ✓ Accessors → LinearAlgebraExt
   5016.2 ms  ✓ StatsBase
   1276.3 ms  ✓ StructUtils → StructUtilsTablesExt
    800.1 ms  ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt
   2098.7 ms  ✓ MaybeInplace
   1449.0 ms  ✓ ArrayInterface → ArrayInterfaceSparseArraysExt
   2027.7 ms  ✓ SciMLStructures
   2981.9 ms  ✓ PreallocationTools
    825.1 ms  ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt
    825.9 ms  ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt
   1526.3 ms  ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt
   1390.5 ms  ✓ EnzymeCore → EnzymeCoreChainRulesCoreExt
    827.6 ms  ✓ ADTypes → ADTypesChainRulesCoreExt
    887.7 ms  ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt
   3441.0 ms  ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt
   1141.1 ms  ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt
  41642.7 ms  ✓ PrettyTables
   1985.9 ms  ✓ StaticArrays → StaticArraysStatisticsExt
   1852.9 ms  ✓ StaticArrays → StaticArraysChainRulesCoreExt
   1790.5 ms  ✓ ConstructionBase → ConstructionBaseStaticArraysExt
   2003.3 ms  ✓ FillArrays → FillArraysStaticArraysExt
   1839.1 ms  ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt
   2039.9 ms  ✓ Adapt → AdaptStaticArraysExt
   2344.2 ms  ✓ Accessors → StaticArraysExt
   8139.0 ms  ✓ JSON
   1930.8 ms  ✓ Rmath
   5783.8 ms  ✓ SpecialFunctions
 Downloading artifact: IntelOpenMP
 Downloading artifact: oneTBB
  10813.7 ms  ✓ MKL_jll
  10117.6 ms  ✓ ColorSchemes
   5339.3 ms  ✓ SciMLOperators
   1721.5 ms  ✓ PDMats → StatsBaseExt
   1527.0 ms  ✓ FiniteDiff
   4295.0 ms  ✓ SymbolicIndexingInterface
   1562.9 ms  ✓ MaybeInplace → MaybeInplaceSparseArraysExt
   5066.7 ms  ✓ Interpolations
   1762.2 ms  ✓ TypedJSON
   4738.0 ms  ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt
   2754.9 ms  ✓ HypergeometricFunctions
   1371.8 ms  ✓ DiffRules
   1751.4 ms  ✓ ColorVectorSpace → SpecialFunctionsExt
  20491.2 ms  ✓ Gnuplot
   1403.7 ms  ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt
   2023.0 ms  ✓ SciMLOperators → SciMLOperatorsSparseArraysExt
   1853.2 ms  ✓ FiniteDiff → FiniteDiffStaticArraysExt
   1499.2 ms  ✓ FiniteDiff → FiniteDiffSparseArraysExt
   1033.8 ms  ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt
   4615.5 ms  ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt
   9172.7 ms  ✓ RecursiveArrayTools
   3375.0 ms  ✓ StatsFuns
   7661.6 ms  ✓ ForwardDiff
   2371.7 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt
   1743.0 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsTablesExt
   1671.9 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsStatisticsExt
   4119.8 ms  ✓ StatsFuns → StatsFunsChainRulesCoreExt
   1437.9 ms  ✓ StatsFuns → StatsFunsInverseFunctionsExt
  10095.1 ms  ✓ Distributions
   2186.7 ms  ✓ ForwardDiff → ForwardDiffStaticArraysExt
   1802.4 ms  ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt
   3147.1 ms  ✓ PreallocationTools → PreallocationToolsForwardDiffExt
   3222.0 ms  ✓ Interpolations → InterpolationsForwardDiffExt
   1826.1 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt
  33115.2 ms  ✓ SciMLBase
   4095.9 ms  ✓ Distributions → DistributionsTestExt
   3631.9 ms  ✓ Distributions → DistributionsChainRulesCoreExt
   2469.8 ms  ✓ NLSolversBase
   4304.9 ms  ✓ SciMLBase → SciMLBaseChainRulesCoreExt
   4218.8 ms  ✓ SciMLBase → SciMLBaseForwardDiffExt
   3887.8 ms  ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt
   5412.5 ms  ✓ SciMLBase → SciMLBaseDistributionsExt
   3911.1 ms  ✓ LsqFit
  21714.1 ms  ✓ LinearSolve
   9123.6 ms  ✓ SciMLJacobianOperators
  10211.0 ms  ✓ LinearSolve → LinearSolveSparseArraysExt
   8480.8 ms  ✓ LinearSolve → LinearSolveForwardDiffExt
  13883.5 ms  ✓ LineSearch
  20593.4 ms  ✓ NonlinearSolveBase
   5614.3 ms  ✓ LinearSolve → LinearSolveEnzymeExt
   4874.8 ms  ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt
   3841.1 ms  ✓ NonlinearSolveBase → NonlinearSolveBaseChainRulesCoreExt
   5167.5 ms  ✓ NonlinearSolveBase → NonlinearSolveBaseLinearSolveExt
   4033.7 ms  ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt
   6124.6 ms  ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt
  53949.4 ms  ✓ NonlinearSolveFirstOrder
  42459.9 ms  ✓ CurveFit
Base.IOError("could not spawn `gnuplot --version`: no such file or directory (ENOENT)", -2)
┌ Warning: Enabling dry sessions
└ @ Gnuplot ~/.julia/packages/Gnuplot/99nxd/src/Gnuplot.jl:86

Nfree=3, evaluations: 2    Time: 0:00:05 ( 2.98  s/it)
   fitstat: 4.110149932141345



Nfree=3, evaluations: 71    Time: 0:00:06 (87.96 ms/it)

Nfree=13, evaluations: 2    Time: 0:00:00 ( 0.44  s/it)
   fitstat: 1.2893115387744314



Nfree=13, evaluations: 622    Time: 0:00:00 ( 1.60 ms/it)
  76208.7 ms  ✓ GModelFit
Base.IOError("could not spawn `gnuplot --version`: no such file or directory (ENOENT)", -2)
┌ Warning: Enabling dry sessions
└ @ Gnuplot ~/.julia/packages/Gnuplot/99nxd/src/Gnuplot.jl:86
  30392.9 ms  ✓ GModelFitViewer
  190 dependencies successfully precompiled in 877 seconds. 41 already precompiled.

  3 dependencies had output during precompilation:
┌ GModelFit
│  Base.IOError("could not spawn `gnuplot --version`: no such file or directory (ENOENT)", -2)
│  ┌ Warning: Enabling dry sessions
│  └ @ Gnuplot ~/.julia/packages/Gnuplot/99nxd/src/Gnuplot.jl:86
│  
Nfree=3, evaluations: 2    Time: 0:00:05 ( 2.98  s/it)
│     fitstat: 4.110149932141345

│  

Nfree=3, evaluations: 71    Time: 0:00:06 (87.96 ms/it)
│  
Nfree=13, evaluations: 2    Time: 0:00:00 ( 0.44  s/it)
│     fitstat: 1.2893115387744314

│  

Nfree=13, evaluations: 622    Time: 0:00:00 ( 1.60 ms/it)
└  
┌ MKL_jll
│  Downloading artifact: IntelOpenMP
│   Downloading artifact: oneTBB
└  
┌ GModelFitViewer
│  Base.IOError("could not spawn `gnuplot --version`: no such file or directory (ENOENT)", -2)
│  ┌ Warning: Enabling dry sessions
│  └ @ Gnuplot ~/.julia/packages/Gnuplot/99nxd/src/Gnuplot.jl:86
└  

Precompilation completed after 897.01s


################################################################################
# Testing
#

     Testing GModelFitViewer
      Status `/tmp/jl_AE4YTD/Project.toml`
  [3f0dd361] DefaultApplication v1.1.0
  [ac42e6ba] GModelFit v0.8.0
  [5d93b50e] GModelFitViewer v0.5.1
  [a98d9a8b] Interpolations v0.16.2
  [682c06a0] JSON v1.4.0
  [10745b16] Statistics v1.11.1
  [d2514e9c] StructC14N v0.3.2
  [82102e82] TypedJSON v0.1.2
  [ade2ca70] Dates v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_AE4YTD/Manifest.toml`
  [47edcb42] ADTypes v1.21.0
  [7d9f7c33] Accessors v0.1.43
  [79e6a3ab] Adapt v4.5.0
  [66dad0bd] AliasTables v1.1.3
  [4fba245c] ArrayInterface v7.23.0
  [13072b0f] AxisAlgorithms v1.1.0
  [a5944310] CMPFit v0.3.5
  [d360d2e6] ChainRulesCore v1.26.0
  [35d6a980] ColorSchemes v3.31.0
  [3da002f7] ColorTypes v0.12.1
  [c3611d14] ColorVectorSpace v0.11.0
  [5ae59095] Colors v0.13.1
  [38540f10] CommonSolve v0.2.6
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.18.1
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [187b0558] ConstructionBase v1.6.0
  [a8cc5b0e] Crayons v4.1.1
  [5a033b19] CurveFit v1.7.0
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.19.3
  [e2d170a0] DataValueInterfaces v1.0.0
  [3f0dd361] DefaultApplication v1.1.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.16
  [31c24e10] Distributions v0.25.123
  [ffbed154] DocStringExtensions v0.9.5
  [4e289a0a] EnumX v1.0.7
  [f151be2c] EnzymeCore v0.8.18
  [e2ba6199] ExprTools v0.1.10
  [55351af7] ExproniconLite v0.10.14
  [9aa1b823] FastClosures v0.3.2
  [275e499e] FastRationals v0.3.2
  [1a297f60] FillArrays v1.16.0
  [6a86dc24] FiniteDiff v2.29.0
  [53c48c17] FixedPointNumbers v0.8.5
  [f6369f11] ForwardDiff v1.3.2
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [ac42e6ba] GModelFit v0.8.0
  [5d93b50e] GModelFitViewer v0.5.1
  [46192b85] GPUArraysCore v0.2.0
  [92fee26a] GZip v0.6.2
  [dc211083] Gnuplot v1.7.0
  [34004b35] HypergeometricFunctions v0.3.28
  [a98d9a8b] Interpolations v0.16.2
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.6
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.1
  [682c06a0] JSON v1.4.0
  [ae98c720] Jieko v0.2.1
  [ba0b0d4f] Krylov v0.10.5
  [b964fa9f] LaTeXStrings v1.4.0
  [87fe0de2] LineSearch v0.1.6
  [7ed4a6bd] LinearSolve v3.64.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [2fda8390] LsqFit v0.15.1
  [1914dd2f] MacroTools v0.5.16
  [bb5d69b7] MaybeInplace v0.1.4
  [e1d29d7a] Missings v1.2.0
  [2e0e35c7] Moshi v0.3.7
⌅ [d41bc354] NLSolversBase v7.10.0
  [77ba4419] NaNMath v1.1.3
  [be0214bd] NonlinearSolveBase v2.15.0
  [5959db7a] NonlinearSolveFirstOrder v2.0.0
  [6fe1bfb0] OffsetArrays v1.17.0
  [bac558e1] OrderedCollections v1.8.1
  [90014a1f] PDMats v0.11.37
  [69de0a69] Parsers v2.8.3
  [d236fae5] PreallocationTools v1.1.2
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.2
  [08abe8d2] PrettyTables v3.2.3
  [92933f4c] ProgressMeter v1.11.0
  [43287f4e] PtrArrays v1.4.0
  [1fd47b50] QuadGK v2.11.2
  [c84ed2f1] Ratios v0.4.5
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.48.0
  [189a3867] Reexport v1.2.2
  [b873ce64] ReplMaker v0.2.7
  [ae029012] Requires v1.3.1
  [79098fc4] Rmath v0.9.0
  [7e49a35a] RuntimeGeneratedFunctions v0.5.17
  [0bca4576] SciMLBase v2.148.0
  [19f34311] SciMLJacobianOperators v0.1.12
  [a6db7da4] SciMLLogging v1.9.1
  [c0aeaf25] SciMLOperators v1.15.1
  [431bcebd] SciMLPublic v1.0.1
  [53ae85a6] SciMLStructures v1.10.0
  [efcf1570] Setfield v1.1.2
  [a2af1166] SortingAlgorithms v1.2.2
  [276daf66] SpecialFunctions v2.7.1
  [90137ffa] StaticArrays v1.9.17
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [892a3eda] StringManipulation v0.4.4
  [d2514e9c] StructC14N v0.3.2
  [ec057cc2] StructUtils v2.6.3
  [2efcf032] SymbolicIndexingInterface v0.3.46
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [62fd8b95] TensorCore v0.1.1
  [a759f4b9] TimerOutputs v0.5.29
  [82102e82] TypedJSON v0.1.2
  [efce3f68] WoodburyMatrices v1.1.0
  [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0
  [856f044c] MKL_jll v2025.2.0+0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [1317d2d5] oneTBB_jll v2022.0.0+1
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v1.0.0
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.13.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.14.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.0.0
  [9e88b42a] Serialization v1.11.0
  [1a1011a3] SharedArrays v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] LibCURL_jll v8.18.0+0
  [e37daf67] LibGit2_jll v1.9.2+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.12.2
  [4536629a] OpenBLAS_jll v0.3.30+0
  [05823500] OpenLibm_jll v0.8.7+0
  [458c3c95] OpenSSL_jll v3.5.5+0
  [efcefdf7] PCRE2_jll v10.47.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.2+0
  [3161d3a3] Zstd_jll v1.5.7+1
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.68.0+1
  [3f19e933] p7zip_jll v17.7.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
Base.IOError("could not spawn `gnuplot --version`: no such file or directory (ENOENT)", -2)
┌ Warning: Enabling dry sessions
└ @ Gnuplot ~/.julia/packages/Gnuplot/99nxd/src/Gnuplot.jl:86

Nfree=5, evaluations: 2    Time: 0:00:17 ( 8.53  s/it)
   fitstat: 0.7939814918050551



Nfree=5, evaluations: 122    Time: 0:00:17 ( 0.14  s/it)

Nfree=4, evaluations: 2    Time: 0:00:01 ( 0.74  s/it)
   fitstat: 0.8439138500499087



Nfree=4, evaluations: 74    Time: 0:00:01 (21.69 ms/it)
Test Failed at /home/pkgeval/.julia/packages/GModelFitViewer/7DYxL/test/runtests.jl:96
  Expression: read("test05.html", String) == read("ref05.html", String)
   Evaluated: "<!DOCTYPE html>\n<html>\n  <head>\n\t<title>GModelFit viewer</title>\n\t<meta http-equiv=Content-Type content=\"text/html; charset=UTF-8\" />\n\t<meta http-equiv=Content-Script-Type content=\"text/javascript\" />\n\t<meta http-equiv=Content-Style-Type content=\"text/css\" />\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\" />\n\t<meta name=\"description\" content=\"GModelFitViewer - web viewer for the GModelFit produced results\" />\n\t<meta name=\"generator\" content=\"vi+LN\" />\n\t<meta name=\"author\" content=\"Luciano Nicastro, INAF\" />\n\t<meta name=\"publisher\" content=\"INAF\" />\n\t<meta name=\"language\" content=\"en\" />\n\t<meta name=\"version\" content=\"x.y.z\" />\n\t<meta name=\"date\" content=\"xxxx-yy-dd\" />\n\n\t<!-- @Remote -->\n\t<!--\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/index.js\"></script>\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/xy.js\"></script>\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/themes/Animated.js\"></script>\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/plugins/exporting.js\"></script>\n\t\t-->\n\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/index.js\"></script>\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/xy.js\"></script>\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/themes/Animated.js\"></script>\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/plugins/exporting.js\"></script>\n\n\t\t<!-- @EndRemote -->\n\n\n\t\t<style>\n\t\t  :root {\n\t\t\t  --blue: #1177d1;\n\t\t\t  --indigo: #6610f2;\n\t\t\t  --purple: #613d7c;\n\t\t\t  --pink: #e83e8c;\n\t\t\t  --red: #d43f3a;\n\t\t\t  --orange: #f0ad4e;\n\t\t\t  --yellow: #ff7518;\n\t\t\t  --green: #398439;\n\t\t\t  --teal: #20c997;\n\t\t\t  --cyan: #5bc0de;\n\t\t\t  --gray: #6c757d;\n\t\t\t  --gray-dark: #343a40;\n\t\t\t  --primary: #1177d1;\n\t\t\t  --secondary: #ced4da;\n\t\t\t  --success: #398439;\n\t\t\t  --info: #5bc0de;\n\t\t\t  --warning: #f0ad4e;\n\t\t\t  --danger: #d43f3a;\n\t\t\t  --light: #f8f9fa;\n\t\t\t  --dark: #343a40;\n\n\t\t\t  --baseFg: dimgray;\n\t\t\t  --baseBg: white;\n\t\t\t  --accentFg: #69c;\n\t\t\t  --accentBg: #bae1ff;\n\t\t  }\n\n\t\t  body {\n\t\t\t  font: 0.98em adobe-clean-n3, adobe-clean, \"Helvetica Neue\", HelveticaNeue, Helvetica, Arial, sans-serif;\n\t\t\t  color: var(--gray-dark);\n\t\t\t  margin: 5px;\n\t\t\t  text-rendering: optimizeLegibility !important;\n\t\t\t  -webkit-font-smoothing: antialiased !important;\n\t\t\t  -moz-osx-font-smoothing: grayscale !important;\n\t\t  }\n\n\t\t  a:link, a:visited, a:active {\n\t\t\t  text-decoration: none;\n\t\t\t  color: #204d74;\n\t\t  }\n\n\t\t  a:hover {\n\t\t\t  color: #2d6ca2;\n\t\t  }\n\n\t\t  button {\n\t\t\t  font-size: 1rem;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  button:hover {\n\t\t\t  cursor: pointer;\n\t\t  }\n\n\t\t  button > i {\n\t\t\t  margin-left: 6px;\n\t\t\t  margin-right: 6px;\n\t\t\t  font-size: 110%;\n\t\t  }\n\n\t\t  input {\n\t\t\t  cursor: auto;\n\t\t\t  -moz-box-sizing:content-box;\n\t\t\t  -webkit-box-sizing: content-box;\n\t\t\t  box-sizing: content-box;\n\t\t\t  font-size: 0.9rem;\n\t\t  }\n\n\t\t  input[type=\"checkbox\"] {\n\t\t\t  margin-right: 6px;\n\t\t  }\n\n\t\t  input[type=\"text\"] {\n\t\t\t  background-color: #f7f7f7;\n\t\t\t  color: #666;\n\t\t\t  border: 0;\n\t\t\t  border-bottom: 2px solid #ccc;\n\t\t\t  padding: 5px;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  input[type=\"text\"]:hover {\n\t\t\t  background-color: #fff;\n\t\t  }\n\n\t\t  input[type=\"number\"] {\n\t\t\t  border: 1px solid #ccc;\n\t\t\t  padding: 5px;\n\t\t  }\n\n\t\t  input[type=\"button\"], input[type=\"checkbox\"] {\n\t\t\t  cursor: pointer;\n\t\t  }\n\n\t\t  input[type=\"button\"]:hover {\n\t\t\t  color: #069;\n\t\t  }\n\n\t\t  input[type=\"file\"] {\n\t\t\t  display: none;\n\t\t  }\n\n\t\t  img {\n\t\t\t  border: 0;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  label {\n\t\t\t  padding-left: .3em;\n\t\t\t  font-weight: bold;\n\t\t  }\n\n\t\t  .container {\n\t\t\t  margin: 16px;\n\t\t\t  font-size: 110%;\n\t\t  }\n\n\t\t  .img-circle {\n\t\t\t  border-radius: 50%;\n\t\t\t  box-shadow: 0px 0px 3px 3px #ddd;\n\t\t  }\n\n\t\t  .w-span {\n\t\t\t  margin-left: 0.5rem;\n\t\t\t  padding: 6px;\n\t\t\t  border-radius: 4px;\n\t\t\t  background-color: #fff;\n\t\t  }\n\n\t\t  .shadow {\n\t\t\t  box-shadow: 3px 3px 5px 6px #ccc;\n\t\t\t  -webkit-box-shadow: 3px 3px 5px 6px #ccc;\n\t\t  }\n\n\t\t  .hdrdiv2 {\n\t\t\t  width : 100%;\n\t\t\t  text-align: left;\n\t\t\t  padding: 0 1px;\n\t\t\t  color: #fff;\n\t\t\t  background-color: #186680;\n\t\t\t  font-size: 1.2rem;\n\t\t\t  -webkit-box-sizing: border-box;\n\t\t\t  -moz-box-sizing: border-box;\n\t\t\t  box-sizing: border-box;\n\t\t  }\n\n\t\t  .app-info-div {\n\t\t\t  float: right;\n\t\t\t  font-size: .9rem;\n\t\t\t  background: #186680;\n\t\t\t  border-radius: 5px;\n\t\t  }\n\n\t\t  .submit_grey {\n\t\t\t  font-weight: normal;\n\t\t\t  color: var(--gray-dark);\n\t\t\t  background-color: #fff;\n\t\t\t  display: inline-block;\n\t\t\t  padding: 6px;\n\t\t\t  margin-bottom: 0;\n\t\t\t  text-align: center;\n\t\t\t  white-space: nowrap;\n\t\t\t  vertical-align: middle;\n\t\t\t  border: 1px solid #ccc;\n\t\t\t  border-radius: 4px;\n\t\t  }\n\n\t\t  .submit_grey:hover {\n\t\t\t  cursor: pointer;\n\t\t\t  background-color: #f0f0f0;\n\t\t\t  border: 1px solid #adadad;\n\t\t  }\n\n\t\t  .dd-select {\n\t\t\t  font-size: inherit;\n\t\t\t  height: 2rem;\n\t\t\t  margin: 0;\n\t\t\t  padding-left: 0.5rem;\n\t\t\t  padding-right: 2rem;\n\t\t\t  color: var(--gray-dark);\n\t\t\t  border: 1px solid #666;\n\t\t\t  border-radius: 4px;\n\t\t\t  webkit-appearance: none;\n\t\t\t  -moz-appearance: none;\n\t\t\t  appearance: none;\n\n\t\t\t  background-color: var(--baseBg);\n\t\t\t  background-image: linear-gradient(var(--baseFg), var(--baseFg)),\n\t\t\t\t\t\t\t\tlinear-gradient(-135deg, transparent 50%, var(--light) 50%),\n\t\t\t\t\t\t\t\tlinear-gradient(-225deg, transparent 50%, var(--light) 50%),\n\t\t\t\t\t\t\t\tlinear-gradient(var(--light) 42%, var(--accentFg) 42%);\n\t\t\t  background-repeat: no-repeat, no-repeat, no-repeat, no-repeat;\n\t\t\t  background-size: 1px 100%, 20px 22px, 20px 22px, 20px 100%;\n\t\t\t  background-position: right 20px center, right bottom, right bottom, right bottom;\n\t\t  }\n\n\t\t  .dd-select:hover {\n\t\t\t  background-image: linear-gradient(var(--accentFg), var(--accentFg)),\n\t\t\t\t\t\t\t\tlinear-gradient(-135deg, transparent 50%, var(--accentFg) 50%),\n\t\t\t\t\t\t\t\tlinear-gradient(-225deg, transparent 50%, var(--accentFg) 50%),\n\t\t\t\t\t\t\t\tlinear-gradient(var(--accentFg) 42%, var(--accentBg) 42%);\n\t\t  }\n\n\t\t  select::-ms-expand {\n\t\t\t  display: none; /* Remove default arrow in Internet Explorer 10 and 11 */\n\t\t  }\n\n\t\t  .simple_button {\n\t\t\t  padding: 3px 0;\n\t\t\t  margin-left: 1rem;\n\t\t\t  border: 1px solid #adadad;\n\t\t\t  border-radius: 4px;\n\t\t  }\n\n\t\t  .simple_button:hover {\n\t\t\t  background-color: #ddd;\n\t\t\t  -webkit-transition: all 0.3s ease-in-out;\n\t\t\t  -moz-transition: all 0.3s ease-in-out;\n\t\t\t  transition: all 0.3s ease-in-out;\n\t\t  }\n\n\t\t  .transp_button {\n\t\t\t  padding: 0;\n\t\t\t  width: 32px;\n\t\t\t  height: 32px;\n\t\t\t  margin-left: 0.5rem;\n\t\t\t  border: 2px solid #e6e6e6;\n\t\t\t  border-radius: 50%;\n\t\t\t  background-color: transparent;\n\t\t\t  box-shadow: inset 0 0 0 1px #fff;\n\t\t\t  transition: box-shadow 0.25s linear;\n\t\t  }\n\n\t\t  .transp_button:hover {\n\t\t\t  box-shadow: inset 0 0 0 1.2em #eaeaea;\n\t\t  }\n\n\t\t  .label-range-in {\n\t\t\t  margin-left: 0.5em;\n\t\t\t  margin-right: 0.2em;\n\t\t\t  font-size: inherit;\n\t\t\t  font-weight: 600;\n\t\t  }\n\n\t\t  .range-in {\n\t\t\t  max-width: 4em;\n\t\t  }\n\n\n\t\t  #chartdiv {\n\t\t\t  width : 98%;\n\t\t\t  height: 640px;\n\t\t\t  overflow: hidden;\n\t\t\t  text-align: left;\n\t\t\t  resize: vertical;\n\t\t  }\n\n\t\t  #plot-sect {\n\t\t\t  overflow-x: inherit;\n\t\t\t  padding-bottom: 1rem;\n\t\t  }\n\n\t\t  #res_legenddiv {\n\t\t\t  display: inline-block;\n\t\t\t  vertical-align: middle;\n\t\t\t  cursor: pointer;\n\t\t\t  padding: 6px;\n\t\t  }\n\n\t\t  #box-resid-in {\n\t\t\t  position: relative;\n\t\t\t  float: right;\n\t\t\t  margin-right: 2%;\n\t\t\t  padding-right: 0.5rem;\n\t\t\t  background: #efefef;\n\t\t\t  border: 1px solid #ddd;\n\t\t\t  border-radius: 4px;\n\t\t  }\n\n\t\t  .box-cb {\n\t\t\t  display: inline-block;\n\t\t\t  margin-left: .5em;\n\t\t\t  padding-right: .5em;\n\t\t\t  background: #efefef;\n\t\t\t  border: 1px solid #ddd;\n\t\t\t  border-radius: 4px;\n\t\t\t  vertical-align: middle;\n\t\t\t  cursor: pointer;\n\t\t  }\n\n\t\t  .box-cb:hover {\n\t\t\t  background-color: #ddd;\n\t\t  }\n\n\t\t  #controls-div {\n\t\t\t  display: inline-block;\n\t\t\t  margin-top: 0.5em;\n\t\t\t  width: 100%;\n\t\t  }\n\n\t\t  #range-selector-div {\n\t\t\t  display: inline-block;\n\t\t\t  margin-left: 1em;\n\t\t  }\n\n\t\t  section {\n\t\t\t  overflow-x: auto;\n\t\t  }\n\n\t\t  div.row {\n\t\t\t  clear: both;\n\t\t\t  border: 0px;\n\t\t\t  padding: 0px;\n\t\t  }\n\n\t\t  div.section {\n\t\t\t  clear: both;\n\t\t\t  border: 0px;\n\t\t\t  padding: 24px 0px;\n\t\t\t  font-size: 110%;\n\t\t\t  color: var(--gray-dark);\n\t\t  }\n\n\t\t  div.summ-div {\n\t\t\t  border: 0;\n\t\t\t  padding: 0;\n\t\t  }\n\n\t\t  div.trailer {\n\t\t\t  font-size: 0.9rem;\n\t\t\t  text-align: center;\n\t\t\t  padding-left: 1rem;\n\t\t\t  line-height: 1.5rem;\n\t\t\t  background-color: var(--primary);\n\t\t\t  color: var(--secondary);\n\t\t\t  border-left: 1px solid #186680;\n\t\t\t  border-right: 1px solid #186680;\n\t\t  }\n\n\t\t  div.trailer a {\n\t\t\t  text-decoration: none;\n\t\t\t  color: #999;\n\t\t  }\n\n\t\t  div.trailer a:hover {\n\t\t\t  color: #535353;\n\t\t  }\n\n\t\t  caption {\n\t\t\t  display: table-caption;\n\t\t\t  text-align: center;\n\t\t\t  padding-bottom: 20px;\n\t\t\t  padding-top: 10px;\n\t\t  }\n\n\t\t  table, td, th {\n\t\t\t  border: solid 1px #ddd;\n\t\t\t  border-collapse: collapse;\n\t\t\t  padding: 4px 6px;\n\t\t\t  vertical-align: top;\n\t\t\t  white-space: nowrap;\n\t\t  }\n\n\t\t  th {\n\t\t\t  text-align: center;\n\t\t\t  font-weight: bold;\n\t\t\t  background-color: #eaeaea;\n\t\t  }\n\n\t\t  td.highlight_blue {\n\t\t\t  font-weight: bold;\n\t\t\t  color: blue;\n\t\t  }\n\n\t\t  #gmf_info-div {\n\t\t\t  float: right;\n\t\t\t  display: inline-block;\n\t\t\t  vertical-align: middle;\n\t\t\t  margin-left: 1rem;\n\t\t\t  color: #fff;\n\t\t\t  box-sizing: border-box;\n\t\t\t  border: 1px solid #ccc;\n\t\t\t  border-radius: 4px;\n\t\t\t  background-color: var(--primary);\n\t\t\t  padding: 6px;\n\t\t  }\n\n\t\t  #mod_sel-div {\n\t\t\t  font-size: initial;\n\t\t\t  font-weight: bold;\n\t\t\t  margin: 0.2rem 0.5rem;\n\t\t  }\n\n\n\n\t\t  div .visible {\n\t\t\t  z-index: 2;\n\t\t\t  display: block;\n\t\t\t  opacity: 1;\n\t\t\t  height: auto;\n\t\t\t  -webkit-transition: all 0.60s ease-out;\n\t\t\t  -moz-transition: all 0.60s ease-out;\n\t\t\t  transition: all 0.60s ease-out;\n\t\t  }\n\n\t\t  div .hidden {\n\t\t\t  opacity: 0;\n\t\t\t  height: 0;\n\t\t\t  visibility: hidden;\n\t\t\t  overflow: hidden;\n\t\t\t  -webkit-transition: all 0.60s ease-in;\n\t\t\t  -moz-transition: all 0.60s ease-in;\n\t\t\t  transition: all 0.60s ease-in;\n\t\t  }\n\n\t\t  #p_title {\n\t\t\t  color: #666;\n\t\t\t  font-size: 1.2rem;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  #p_selector {\n\t\t\t  margin-right: 0.5em;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  div.interface\n\t\t  {\n\t\t\t  border-top: 1px solid #186680;\n\t\t\t  border-left: 1px solid #186680;\n\t\t\t  border-right: 1px solid #186680;\n\t\t\t  padding: 3px 8px;\n\t\t  }\n\n\t\t  /* Gradient color1 - color2 - color1 */\n\t\t  hr.style-one {\n\t\t\t  border: 0; height: 1px; background: #fff;\n\t\t\t  background-image: linear-gradient(to right, #f00, #0f0, #00f);\n\t\t\t  margin-top: 0;\n\t\t  }\n\n\t\t  /* Gradient transparent - color - transparent */\n\t\t  hr.style-two {\n\t\t\t  border: 0; height: 1px;\n\t\t\t  background-image: linear-gradient(to right, rgba(0, 0, 0, 0), rgba(0, 0, 0, 0.75), rgba(0, 0, 0, 0));\n\t\t  }\n\n\t\t  #fitlog_tables-div {\n\t\t\t  height: auto;\n\t\t\t  border-bottom: 2px solid black;\n\t\t\t  margin-bottom: 1rem;\n\t\t  }\n\n\t\t  #fitlog_sect {\n\t\t\t  font-size: 1.5em;\n\t\t\t  font-weight: 500;\n\t\t  }\n\n\t\t  #fitlog_selector {\n\t\t\t  width: auto;\n\t\t\t  white-space: nowrap;\n\t\t\t  margin-left: 1rem;\n\t\t\t  font-size: 1rem;\n\t\t  }\n\n\t\t  .out_table {\n\t\t\t  border: 0;\n\t\t\t  padding: 1em 0 1em 1em;\n\t\t  }\n\n\t\t  .toggle_table-hdr {\n\t\t\t  border-bottom: 3px solid #ddd;\n\t\t\t  padding: .5em 1em;\n\t\t\t  font-size: 1.1em;\n\t\t\t  font-weight: 600;\n\t\t\t  display: inline-block;\n\t\t  }\n\n\t\t  .toggle_table-hdr:hover {\n\t\t\t  background-color: #eaeaea;\n\t\t\t  cursor: pointer;\n\t\t\t  color: #069;\n\t\t\t  -webkit-transition: all 0.30s ease-in;\n\t\t\t  -moz-transition: all 0.30s ease-in;\n\t\t\t  transition: all 0.30s ease-in;\n\t\t  }\n\n\t\t  .inline {\n\t\t\t  display: inline-block;\n\t\t  }\n\n\t\t  .inline-div {\n\t\t\t  display: inline-block;\n\t\t\t  vertical-align: middle;\n\t\t\t  margin-left: 1rem;\n\t\t  }\n\n\t\t  .div-hide {\n\t\t\t  display: none;\n\t\t\t  visibility: hidden;\n\t\t\t  height: 0;\n\t\t  }\n\n\t\t  .div-show {\n\t\t\t  display: block;\n\t\t\t  visibility: visible;\n\t\t\t  height: auto;\n\t\t  }\n\n\t\t  .div-show-inline {\n\t\t\t  display: inline-block;\n\t\t\t  visibility: visible;\n\t\t\t  height: auto;\n\t\t  }\n\n\t\t  .rep_div-show {\n\t\t\t  display: block;\n\t\t\t  visibility: visible;\n\t\t\t  height: auto;\n\t\t\t  animation: 0.5s linear 0s fadeIn;\n\t\t\t  transition: height 0.5s 0.3s ease-in-out;\n\t\t  }\n\n\t\t  .div-selected {\n\t\t\t  border-bottom: 3px solid var(--primary);\n\t\t\t  background-color: #efefef;\n\t\t  }\n\n\t\t  .n_sigma-div {\n\t\t\t  display: inline-block;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  #fitres-div {\n\t\t\t  padding-top: 0;\n\t\t  }\n\n\t\t  #fitres_table-div {\n\t\t\t  padding-top: 0;\n\t\t  }\n\n\t\t  .al-right {\n\t\t\t  text-align: right;\n\t\t  }\n\n\t\t  .ud-angle-l {\n\t\t\t  margin-left: 2rem;\n\t\t  }\n\n\t\t  .pre_res {\n\t\t\t  font-size: 1rem;\n\t\t  }\n\n\t\t  .pre_res_bf {\n\t\t\t  font-size: 1rem;\n\t\t\t  font-weight: 600;\n\t\t  }\n\n\t\t  /* Icons */\n\t\t  [class^=\"icon-\"],\n\t\t  [class*=\" icon-\"],\n\t\t  [class^=\"logo-\"] {\n\t\t\t  display: inline-block;\n\t\t\t  stroke-width: 0;\n\t\t\t  stroke: currentColor;\n\t\t\t  fill: currentColor;\n\t\t  }\n\n\t\t  .logos {\n\t\t\t  /* TODO */\n\t\t  }\n\n\t\t  /* Add Animation */\n\t\t  @keyframes slidein {\n\t\t\t  from {top: -300px; visibility: hidden;}\n\t\t\t  to {top: 0; visibility: visible;}\n\t\t  }\n\n\t\t  @keyframes slideout {\n\t\t\t  from { transform: translateY(0); visibility: visible;}\n\t\t\t  to   { transform: translateY(-300px); visibility: hidden;}\n\t\t  }\n\n\t\t  @keyframes fadeIn {\n\t\t\t  0% { opacity: 0; visibility: hidden; }\n\t\t\t  100% { opacity: 1; visibility: visible; }\n\t\t  }\n\n\t\t  @keyframes fadeOut {\n\t\t\t  0% { opacity: 1; visibility: visible; }\n\t\t\t  100% { opacity: 0; visibility: hidden; width: 100%; }\n\t\t  }\n\t\t</style>\n  </head>\n\n  <body>\n\t<!-- Icons -->\n\t<svg aria-hidden=\"true\" style=\"position: absolute; width: 0; height: 0; overflow: hidden;\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n\t  <defs>\n\t\t<symbol id=\"angle-down\" viewBox=\"0 0 350 512\">\n\t\t  <path fill=\"currentColor\" d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 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Always true.\n\tresid_plot = false,\t// True if plotting residuals\n\tam_anim = false,\t// Animation theme ?\n\tx_range = {min: null, max: null, logscale: false},  // X axis range\n\ty_range = {min: null, max: null, logscale: false},  // Y axis range\n\tmy_chartdata,\t// JSON reformatted data for amchart\n\troot,\t\t// The amchart drawing root\n\tchart,\t\t// The amchart object\n\tsdata,\t\t// The data series to plot (with errors)\n\tresid,\t\t// The residuals chart series\n\tcsr2,\t\t// The sum of squared residuals chart series\n\taux = {},\t// The metadata information read from the JSON file and more\n\ti_chmodel = -1, // Index of the Model data in the chart.series\n\tvxAxis,\t\t// The X axis object\n\tvalueAxis,\t// The Y axis object\n\tresyAxis,\t// The residuals right axis object\n\tcsr2yAxis,\t// The cumulative sum of squared residuals axis object\n\tsbseries,\t// The X axis scrollbar series\n\tlegend,\t\t// The main legend\n\trange0,\t\t// Used to draw the residuals 0 level\n\tresrange,\t// Used to highlight +/- N sigma residuals\n\trange0DataItem,\n\tresrangeDataItem,\n\n\tp_title = document.getElementById('p_title'),\n\tinxy_ranges = document.getElementById('range-selector-div').getElementsByTagName('input');\n\n\n// A set of 19 colors + white + black\n// grey, blue and darkblue removed and used by def. for the data, main reducer and residuals array\nvar mycolors = [\n    {'name':'Red', 'hex':'#e6194b', 'rgb':'(230, 25, 75)', 'rgba':'(230, 25, 75, 0.5)'},\n    {'name':'Green', 'hex':'#3cb44b', 'rgb':'(60, 180, 75)', 'rgba':'(60, 180, 75, 0.5)'},\n    {'name':'Purple', 'hex':'#911eb4', 'rgb':'(145, 30, 180)', 'rgba':'(145, 30, 180, 0.5)'},\n    {'name':'Orange', 'hex':'#f0ad4e', 'rgb':'(240, 173, 78)', 'rgba':'(240, 143, 78, 0.5)'},\n    {'name':'Magenta', 'hex':'#f032e6', 'rgb':'(240, 50, 230)', 'rgba':'(240, 50, 230, 0.5)'},\n    {'name':'Teal', 'hex':'#008080', 'rgb':'(0, 128, 128)', 'rgba':'(0, 128, 128, 0.5)'},\n    {'name':'Orange2', 'hex':'#ff7518', 'rgb':'(255, 117, 24)', 'rgba':'(255, 117, 24, 0.5)'},\n    {'name':'Lavender', 'hex':'#e6beff', 'rgb':'(230, 190, 255)', 'rgba':'(230, 190, 255, 0.5)'},\n    {'name':'Brown', 'hex':'#aa6e28', 'rgb':'(170, 110, 40)', 'rgba':'(170, 110, 40, 0.5)'},\n    {'name':'Maroon', 'hex':'#800000', 'rgb':'(128, 0, 0)', 'rgba':'(128, 0, 0, 0.5)'},\n    {'name':'Olive', 'hex':'#808000', 'rgb':'(128, 128, 0)', 'rgba':'(128, 128, 0, 0.5)'},\n    {'name':'Coral', 'hex':'#ffd8b1', 'rgb':'(255, 215, 180)', 'rgba':'(255, 215, 180, 0.5)'},\n    {'name':'Navy', 'hex':'#000080', 'rgb':'(0, 0, 128)', 'rgba':'(0, 0, 128, 0.5)'},\n\n    {'name':'Pink2', 'hex':'#F0AAAA', 'rgb':'(240, 170, 170)', 'rgba':'(240, 170, 170, 0.5)'},\n    {'name':'Mint2', 'hex':'#96E6B4', 'rgb':'(150, 230, 180)', 'rgba':'(150, 230, 180, 0.5)'},\n    {'name':'Yellow', 'hex':'#FFD700', 'rgb':'(255, 215, 0)', 'rgba':'(255, 215, 0, 0.5)'},\n    {'name':'Cyan2', 'hex':'#60C8E8', 'rgb':'(96, 200, 232)', 'rgba':'(96, 200, 232, 0.5)'},\n    {'name':'Beige2', 'hex':'#E6D7B4', 'rgb':'(230, 215, 180)', 'rgba':'(230, 215, 180, 0.5)'},\n    {'name':'Lime2', 'hex':'#C3E61E', 'rgb':'(195, 230, 30)', 'rgba':'(195, 230, 30, 0.5)'},\n\n    {'name':'White', 'hex':'#FFFFFF', 'rgb':'(255, 255, 255)', 'rgba':'(255, 255, 255, 0.5)'},\n    {'name':'Black', 'hex':'#000000', 'rgb':'(0, 0, 0)', 'rgba':'(0, 0, 0, 0.5)'}\n], n_myc = 19,\n\n\t// Data color\n\tdcolor = {'name':'Grey', 'hex':'#808080', 'rgb':'(128,128,128)', 'rgba':'(128,128,128, 0.5)'},\n\n\t// Main reducer color\n\tmcolor = {'name':'Blue', 'hex':'#0082c8', 'rgb':'(0, 130, 200)', 'rgba':'(0, 130, 200, 0.5)'},\n\n\t// Residuals color\n\trcolor = {'name':'Darkblue', 'hex':'#386cb0', 'rgb':'(56,108,176)', 'rgba':'(56,108,176, 0.5)'};\n\n\n// Manage URL passed parameters\nvar c_imod = 0;\t\t // Currently plotted model index\n\nif ( window.location.search !== '' ) {\n    const urlParams = new URLSearchParams(window.location.search);\n\n\t// Check if using amCharts animation theme (default false)\n\tif ( urlParams.has('animation') )\n\t\tam_anim = true;\n\n\t// Check for the initial model to show (default 0)\n\tif ( urlParams.has('model') )\n\t\tc_imod = urlParams.get('model') - 1;\n\n}\n\n\n// -- Detect exit fullscreen mode and show header\n\nif ( document.addEventListener ) {\n\tdocument.addEventListener('fullscreenchange', exitFSHandler, false);\n\tdocument.addEventListener('mozfullscreenchange', exitFSHandler, false);\n\tdocument.addEventListener('MSFullscreenChange', exitFSHandler, false);\n\tdocument.addEventListener('webkitfullscreenchange', exitFSHandler, false);\n}\n\nfunction exitFSHandler() {\n\tif ( !document.webkitIsFullScreen && !document.mozFullScreen && !document.msFullscreenElement )\n\t\tdocument.getElementById('hdrdiv').classList.remove('div-hide');\n\tdocument.getElementById('fullscreen-i').setAttribute('href', '#expand');\n}\n\n\n// -- Perform a cumulative sum/sum^2 of an array\n\nconst cumulativeSum = (a) => {\n\treturn a.map((sum => value => sum += value)(0));\n}\n\nconst cumulativeSum2 = (a) => {\n\treturn a.map((sum => value => sum += value*value)(0));\n}\n\n\n// -- Format numbers > 1000 adding the \",\" separator\n\nconst numberWithCommas = (x) => {\n\treturn x.toString().replace(/\\B(?=(\\d{3})+(?!\\d))/g, \",\");\n}\n\n\n// -- Remove any ANSI code from string\n\nconst stripansi = (s) => {\n\treturn s.replace(/[\\u001b\\u009b][[()#;?]*(?:[0-9]{1,4}(?:;[0-9]{0,4})*)?[0-9A-ORZcf-nqry=><]/g,'');\n}\n\n\n// -- Compute the number of fractional \"significant\" digits in sequential values from the given (~constant) step\n\nconst nfSignificant = (x) => {\n\treturn Math.max((Math.abs(x) % 1).toPrecision(1).length - 2, 0);\n}\n\n\n// -- Format the parameters range at a given digits precision\n\nconst pRange = (low, high, np) => {\n\tif ( low === null && high === null )\n\t\treturn '';\n\n\tif ( np === undefined )\n\t\tnp = 4;\n\n\tif ( low === undefined || typeof low !== 'number' )\n\t\tv = '-Inf';\n\telse {\n\t\tv = low;\n\t\tif ( ! Number.isInteger(v) )\n\t\t\tv = +v.toPrecision(np);  // To number to remove trailing 0s\n\t}\n\tif ( high === undefined || typeof high !== 'number' )\n\t\tv += ':Inf';\n\telse {\n\t\tvar v2 = high;\n\t\tif ( ! Number.isInteger(v2) )\n\t\t\tv2 = +v2.toPrecision(np);\n\t\tv += ':'+ v2;\n\t}\n\treturn v;\n}\n\n\n// -- Hidden object?\n\nfunction isHidden(e) {\n\treturn (e.offsetParent === null)\n}\n\n\n\n//\n// -- Toggle full-screen mode. Also toggle visibility of a user given div.\n\nfunction toggleFullScreen(id_div) {\n\tvar element = document.documentElement,\n\t    fs_i = document.getElementById('fullscreen-i'),\n\t    isFullscreen = document.webkitIsFullScreen || document.mozFullScreen || false;\n\n\telement.requestFullScreen = element.requestFullScreen || element.webkitRequestFullScreen || element.mozRequestFullScreen || function () { return false; };\n\tdocument.cancelFullScreen = document.cancelFullScreen || document.webkitCancelFullScreen || document.mozCancelFullScreen || function () { return false; };\n\n\tif ( isFullscreen ) {\n\t\tfs_i.setAttribute('href', '#expand');\n\t\tdocument.cancelFullScreen();\n\t} else {\n\t\tfs_i.setAttribute('href', '#shrink');\n\t\telement.requestFullScreen();\n\t}\n\n\tif ( id_div !== undefined )  // Toggle the given div\n\t\tdocument.getElementById(id_div).classList.toggle('div-hide');\n}\n\n//\n// Functions to read from chart_data\n\nfunction getMainComp(chart_data, epoch) {\n\treturn chart_data['+'].models[epoch]['+'].maincomp[''];\n}\n\nfunction getModels(chart_data, epoch) {\n\treturn chart_data['+'].models[epoch]['+'];\n}\n\nfunction getUnfoldedDomainAxis(chart_data, epoch) {\n\treturn chart_data['+']['models'][epoch]['+']['domain']['+'].axes[''][0];\n}\n\nfunction getFoldedDomainAxis(chart_data, epoch) {\n\treturn chart_data['+']['models'][epoch]['+']['folded_domain']['+'].axes[''][0];\n}\n\nfunction getDataDomainAxis(chart_data, epoch) {\n\treturn chart_data['+'].data[epoch]['+']['domain']['+'].axes[''][0];\n}\n\nfunction getComps(chart_data, epoch) {\n\tout = chart_data['+'].models[epoch]['+'].comps['+'];\n\tfor (const [key, value] of Object.entries(out)) {\n\t\tout[key] = value[\"+\"].buffer;\n\t}\n//\tconsole.log(out);\nreturn out;\n}\n\nfunction getData(chart_data, epoch) {\n\treturn chart_data['+'].data[epoch]['+'];\n}\n\nfunction getNEpochs(chart_data) {\n\treturn chart_data['+'].nepochs;\n}\n\nfunction getMeta(chart_data, epoch) {\n\treturn chart_data['+']['models'][epoch]['+'].meta['+'];\n}\n\nfunction getNData(chart_data) {\n\treturn chart_data['+'].fitsummary['+'].ndata;\n}\n\nfunction getNFree(chart_data) {\n\treturn chart_data['+'].fitsummary['+'].nfree;\n}\n\n\n//\n// -- Extract and manage the metadata info\n\nfunction getauxinfo() {  // TODO\n\n\tdocument.getElementById('app_info').innerHTML = '';\n\n\t// Multiple models for the same \"object\" are allowed\n\n\taux.NEpochs = getNEpochs(chart_data);\n\taux.is_multimodel = (aux.NEpochs > 1);\n\taux.maincomp = [];  // The name of the main component buffer\n\n\tvar cnames = [], desc, cdata, mea, x_lab, y_lab, n_xmea, x_step;\n\n\tif (chart_data.length == 0) {\n\t\talert('No data found.')\n\t\treturn;\n\t}\n\taux.meta = getMeta(chart_data, 0);  // TODO: why epoch 0?\n\taux.ndata_fit = getNData(chart_data);\n\taux.nfree_fit = getNFree(chart_data);\n\n\taux.modinfo = [];\n\taux.modinfo.length = 0;\n\taux.datinfo = [];\n\taux.datinfo.length = 0;\n\n\t// Add loop also for the measures (TODO)\n\tfor (var i = 0; i < aux.NEpochs; i++) {\n\t\tvar n_reb = 1,\n\t\t\ty_min = 1e32,\n\t\t\ty_max = -1e32,\n\t\t\tx_scale = 1,\n\t\t\ty_scale = 1,\n\t\t\tx_rng = null,\n\t\t\ty_rng = null,\n\t\t\tx_lg = false,\n\t\t\ty_lg = false,\n\t\t\tx_lab = 'X label',\n\t\t\ty_lab = 'Y label',\n\t\t\ttitle = 'GModelFitViewer',\n\t\t\tdesc = '<span style=\"color: #69c; font-weight: bold;\">',\n\t\t\tv_labs = ['values', 'uncerts'];\n\n\t\t\tcdata = getModels(chart_data, i);\n\t\t\tif ( chart_data['+'].data[i] !== undefined )\n\t\t\t\tmea = getData(chart_data, i);\n\n\t\tcnames = Object.keys(cdata.comps['+']);\n\t\taux.maincomp.push(cdata.maincomp[''].substring(4));  // maincomp ~= _TS_main\n\n\t\t// Labels in Measures\n\t\tif ( mea.values !== undefined ) {\n\t\t\tv_labs = ['values', 'uncerts'];\n\t\t}\n\n\t\tif ( cdata.meta !== undefined ) {\n\t\t\tvar meta = getMeta(chart_data, i);\n\t\t\tif ( meta.rebin )\n\t\t\t\tn_reb = meta.rebin;\n\t\t\tif ( meta.xrange )\n\t\t\t\tx_rng = meta.xrange;\n\t\t\tif ( meta.yrange )\n\t\t\t\ty_rng = meta.yrange;\n\t\t\tif ( meta.xlog )\n\t\t\t\tx_lg = meta.xlog;\n\t\t\tif ( meta.ylog )\n\t\t\t\ty_lg = meta.ylog;\n\t\t\tif ( meta.xlabel ) {\n\t\t\t\tx_lab = meta.xlabel;\n\t\t\t\tif ( x_lab ) {\n\t\t\t\t\tif ( meta.xscale !== null && meta.xscale !== 1 ) {\n\t\t\t\t\t\tvar un = meta.xscale.toString().replace(/\\+/,'');\n\t\t\t\t\t\tx_lab += ' [[x '+ un +']]';\n\t\t\t\t\t}\n\t\t\t\t\tif ( meta.xunit )\n\t\t\t\t\t\tx_lab += ' ('+ meta.xunit +')';\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif ( meta.ylabel ) {\n\t\t\t\ty_lab = meta.ylabel;\n\t\t\t\tif (  y_lab ) {\n\t\t\t\t\tif ( meta.yscale !== null && meta.yscale !== 1 ) {\n\t\t\t\t\t\tvar un = meta.yscale.toString().replace(/\\+/,'');\n\t\t\t\t\t\ty_lab += ' [[x '+ un +']]';\n\t\t\t\t\t}\n\t\t\t\t\tif ( meta.yunit )\n\t\t\t\t\t\ty_lab += ' ('+ meta.yunit +')';\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif ( meta !== undefined && meta.title ) {\n\t\t\t\ttitle = meta.title;\n\t\t\t\tdesc += meta.title;\n\t\t\t} else\n\t\t\t\tdesc += 'Model '+ i;\n\n\t\t}\n\n\t\tdesc += '</span>';\n\n\n\t\t// Range check on data and model components?\n\t\tif ( y_rng ) {\n\t\t\ty_min = y_rng[0];\n\t\t\ty_max = y_rng[1];\n\t\t} else {  // Y range is model dependent ...\n\t\t\ty_min = Math.min(y_min, Math.min(...mea.values));\n\t\t\ty_max = Math.max(y_max, Math.max(...mea.values));\n\t\t\tfor (var j = 0; j < cnames.length; j++) {\n\t\t\t\ty_min = Math.min(y_min, Math.min(...(cdata.comps['+'][cnames[j]]['+'].buffer)));\n\t\t\t\ty_max = Math.max(y_max, Math.max(...(cdata.comps['+'][cnames[j]]['+'].buffer)));\n\t\t\t\tconsole.log('Model #, comp. #, y_min, y_max:', i, j, y_min, y_max);\n\t\t\t}\n\t\t\tvar e_max = 3*Math.min(...mea.uncerts);  // TODO\n\t\t\tconsole.log('Error max:', e_max);\n\t\t\ty_min -= e_max;\n\t\t\ty_max += e_max;\n\t\t}\n\n\t\t// Scale Y axis for values < 0.01 or > 100\n\t\tvar log10scale2 = Math.floor(Math.log10(y_max));\n\n\t\tif ( log10scale2 < -2 || log10scale2 > 2 )\n\t\t\ty_scale = Math.pow(10, log10scale2);\n\t\telse\n\t\t\tlog10scale2 = 0;\n\n\t\t//console.log('log10scale2, y_scale', log10scale2, y_scale);\n\n\t\tvar datadomain = getDataDomainAxis(chart_data, i);\n\t\tn_xmea = datadomain.length;\n\t\tvar moddomain = getFoldedDomainAxis(chart_data, i);\n\t\tvar n_xcomp = moddomain.length;\n\t\tconsole.log('n_xmea, n_xcomp', n_xmea, n_xcomp);\n\n\t\t//x_step = Math.abs(cdata.domain['+'].axis[''][0][1] - cdata.domain['+'].axis[''][0][0]);\n\t\tx_step = Math.abs(moddomain[1] - moddomain[0]);\n\t\tconsole.log('n_xmea, x_min, x_max:', n_xmea, datadomain[0], datadomain[n_xmea - 1]);\n\t\taux.modinfo.push({\n\t\t\ttitle: title,\n\t\t\tp_title: desc,\n\t\t\tx_label: x_lab,\n\t\t\ty_label: y_lab,\n\t\t\tv_labels: v_labs,\n\t\t\tnx_mea: n_xmea,\n\t\t\tnx_comp: n_xcomp,\n\t\t\tx_min: +(datadomain[0]).toPrecision(4),\n\t\t\tx_max: +(datadomain[n_xmea - 1]).toPrecision(4),\n\t\t\tx_step: x_step,\n\t\t\tx_scale: x_scale,\n\t\t\ty_scale: y_scale,\n\t\t\tx_range: x_rng,\n\t\t\ty_range: y_rng,\n\t\t\tx_log: x_lg,\n\t\t\ty_log: y_lg,\n\t\t\t//y_min: (y_min - y_rng*0.05) / y_scale,\n\t\t\t//y_max: (y_max + y_rng*0.05) / y_scale,\n\t\t\ty_min: +(y_min / y_scale).toPrecision(4),\n\t\t\ty_max: +(y_max / y_scale).toPrecision(4),\n\t\t\tnf_sig: nfSignificant(x_step),\n\t\t\tcomponents: cnames,\n\t\t\tn_comps: cnames.length\n\t\t});\n\t\t// Equidistance check (TODO)\n\t\taux.modinfo[i].x_equi = Math.abs((aux.modinfo[i].x_max - aux.modinfo[i].x_min)/(n_xmea-1) - x_step) < 0.001;\n\t}  // end for i\n\n\n\t// The model selector\n\tvar  ss = document.getElementById('p_selector'),\n\t\td = document.getElementById('mod_sel-div');\n\tss.innerHTML = '';\n\n\t// Create only if more than one model\n\tif ( aux.NEpochs < 2 )\n\t\td.setAttribute('class', 'div-hide');\n\telse {\n\t\td.setAttribute('class', 'div-show-inline');\n\n\t\t// Append model select list\n\t\tfor (var i = 0; i < aux.NEpochs; i++) {\n\t\t\tvar lab, option = document.createElement('option');\n\t\t\toption.value = i;\n\n\t\t\tcdata = getModels(chart_data, i);\n\t\t\tif ( cdata.meta !== undefined && cdata.meta['+'].title !== undefined )\n\t\t\t\tlab = cdata.meta['+'].title\n\t\t\telse\n\t\t\t\tlab = \"Model \"+ i;\n\t\t\toption.text = (i+1).toString() +': '+ lab;\n\t\t\tss.appendChild(option);\n\t\t}\n\n\t\tif ( c_imod == 0 )\n\t\t\tdocument.getElementById('prev_model').classList.add('div-hide');\n\t\telse if ( c_imod == aux.NEpochs - 1 )\n\t\t\tdocument.getElementById('next_model').classList.add('div-hide');\n\t}\n\n\tfor (var i = 0; i < aux.NEpochs; i++) {\n\t\taux.datinfo.push({\n\t\t\tresid_visible: false,\n\t\t\tresid_color: rcolor.hex\n\t\t});\n\t}\n\n}  // end getauxinfo\n\n\n//\n// -- From custom \"model/measure\" structures to default amchart data structure\n\nvar mydata2chart = function(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\t//console.log('mydata2chart isel:', isel);\n\tvar cdata, mea;\n\tcdata = getModels(chart_data, isel);\n\tif ( chart_data['+'].data[isel] !== undefined )\n\t\t//mea = chart_data['+'].data[isel]['+'];\n\t\tmea = getData(chart_data, isel);\n\n\t// Change web page and plot labels\n\tdocument.title = cdata.meta['+'].title;\n\tp_title.innerHTML = aux.modinfo[isel].p_title;\n\n\tvar x = getDataDomainAxis(chart_data, isel),\n\t\tcnames = aux.modinfo[isel].components,\n\t\tfscale = Math.pow(10, aux.modinfo[isel].nf_sig),\n\t\tmydata = {dat: [], res: [], comp: []}, data, res, comps;\n\n\n\t// X values rounded to the N sig. factional digits\n\tvar cs2 = 0;\n\tif ( aux.NEpochs > 0 ) {\n\t\tfor (var i = 0; i < aux.modinfo[isel].nx_mea; i++) {  // folded domain\n\t\t\tdata = {};\n\t\t\tdata['xc'] = x[i];\n\t\t\tdata['y'] = mea.values[i] / aux.modinfo[isel].y_scale;\n\t\t\tdata['error'] = mea.uncerts[i] / aux.modinfo[isel].y_scale;\n\t\t\tdata['model'] = cdata.folded[i] / aux.modinfo[isel].y_scale;\n\t\t\tmydata.dat.push(data);\n\n\t\t\tres = {};\n\t\t\tres['x'] = data['xc'];\n\t\t\tres['resid'] = (mea.values[i] - cdata.folded[i]) / mea.uncerts[i];\n\t\t\t// Normalised cumulative sum of squared residuals\n\t\t\tcs2 += res['resid']*res['resid'];\n\t\t\tres['csr2'] = cs2 / (aux.ndata_fit  - aux.nfree_fit);\n\t\t\tmydata.res.push(res);\n\n\t\t\t//vals['err_lo'] = (mea.values[''][0][i] - mea.values[''][1][i]) / aux.modinfo[isel].y_scale;\n\t\t\t//vals['err_up'] = (mea.values[''][0][i] + mea.values[''][1][i]) / aux.modinfo[isel].y_scale;\n\t\t}\n\t}\n\n\tx = getUnfoldedDomainAxis(chart_data, isel);\n\tfor (var i = 0; i < x.length; i++) {\n\t\tcomps = {};\n\t\tcomps['comp_x'] = x[i];\n\n\t\tfor (var j = 0; j < aux.modinfo[isel].n_comps; j++)  // Components\n\t\t\tcomps[cnames[j]] = cdata.comps['+'][cnames[j]]['+'].buffer[i] / aux.modinfo[isel].y_scale;\n\n\t\tmydata.comp.push(comps);\n\t}\n\n\treturn mydata;\n\n}  // end mydata2chart\n\n\n//\n// -- Create series for the the main reducer of a model.\n\nfunction createMainReducer(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\tvar p = getModels(chart_data, isel);\n\n\tvar series = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tname: 'Model',\n\t\t\txAxis: vxAxis,\n\t\t\tyAxis: valueAxis,\n\t\t\tvalueXField: \"xc\",\n\t\t\tvalueYField: \"model\",\n\t\t\tstroke: mcolor.hex,\n\t\t\tfill: mcolor.hex\n\t\t})\n\t);\n\tseries.strokes.template.setAll({\n\t\tstrokeWidth: 2\n\t});\n\n\ti_chmodel = chart.series.length - 1;\n\tconsole.log('i_chmodel', i_chmodel);\n\n\t//series.legendLabelText = 'Model [#fff]______[/]';\n\tseries.legendLabelText = 'Model';\n\tseries.data.setAll(my_chartdata.dat);\n\n\t// No data, just the model: use series also for the X axis scrolling\n\tif ( aux.NEpochs == 0 ) {\n\t\tdocument.getElementById('box-resid-in').style.visibility = 'hidden';\n\t\tchart.scrollbarX.series.push(series);\n\t\t  }\n}\n\n\n//\n// -- Create axis range for the residuals\n\n// The +/- N sigma shaded region with the (dashed) 0 level\n\nfunction createResidRange(resid) {\n\n\t// 0 level dashed line\n\trange0DataItem = resyAxis.makeDataItem({\n\t\tvalue: 0,\n\t\tendValue: undefined\n\t});\n\trange0 = resyAxis.createAxisRange(range0DataItem);\n\trange0.get(\"grid\").setAll({\n\t\tstroke: am5.color(\"#396478\"),\n\t\tstrokeOpacity: 0.5,\n\t\tstrokeWidth: 2\n\t});\n\n\n\t// +/- N sigma shaded area with invisible strokes\n\tresrangeDataItem = resyAxis.makeDataItem({\n\t\tvalue: -n_sigma,\n\t\tendValue: n_sigma\n\t});\n\t/* Could also highlight the residuals data line within the range\n\t   resrange = resid.createAxisRange(resrangeDataItem);\n\t   resrange.strokes.template.setAll({\n\t   stroke: am5.color(\"#ff6478\"),\n\t   strokeWidth: 3\n\t   });\n\t   resrangeDataItem.get(\"axisFill\").setAll({\n\t*/\n\tresrange = resyAxis.createAxisRange(resrangeDataItem);\n\tresrange.get(\"axisFill\").setAll({\n\t\tfill: am5.color(\"#666\"),\n\t\tfillOpacity: 0.1,\n\t\tvisible: true\n\t});\n\n}  // end createResidRange\n\n\n//\n// -- Create the residuals series\n\nfunction createResiduals(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\tif ( resid ) resid.dispose();\n\n\tresid = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tvalueXField: 'x',\n\t\t\tvalueYField: 'resid',\n\t\t\tname: 'Residuals',\n\t\t\tlegendLabelText: 'Resid.',\n\t\t\txAxis: vxAxis,\n\t\t\tyAxis: resyAxis,\n\t\t\tfill: aux.datinfo[isel].resid_color,\n\t\t\tstroke: aux.datinfo[isel].resid_color,\n\t\t\thiddenInLegend : true  // Not in the main legend\n\t\t})\n\t);\n\tresid.data.setAll(my_chartdata.res);\n\n\t// -- Ceate the sum of squared residuals series\n\n\tif ( csr2 ) csr2.dispose();\n\n\tcsr2 = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tvalueXField: 'x',\n\t\t\tvalueYField: 'csr2',\n\t\t\tname: 'CumulativeChi2',\n\t\t\txAxis : vxAxis,\n\t\t\tyAxis: csr2yAxis,\n\t\t\thiddenInLegend: true,  // Not in the main legend\n\t\t\tstroke: am5.color(\"#990000\")\n\t\t})\n\t);\n\tcsr2.strokes.template.setAll({\n\t\tstrokeWidth: 2\n\t});\n\tcsr2.data.setAll(my_chartdata.res);\n\n}  // end createResiduals\n\n\n//\n// -- Update residuals Nsigma shaded range and axis zoom\n\nfunction n_sigma_update(e) {\n\tif ( ! resyAxis.isVisible() )\n\t\treturn;\n\n\tn_sigma = +e.value;\n\tresrangeDataItem.set('value', -n_sigma);\n\tresrangeDataItem.set('endValue', n_sigma);\n\tresyAxis.minDefined = -n_sigma - 1;\n\tresyAxis.maxDefined = n_sigma + 1;\n\n\t// Also zoom the axis range\n\tsetTimeout(function() {\n\t\tresyAxis.zoomToValues(-n_sigma - 1, n_sigma + 1);\n\t}, 100);\n\n}  // end n_sigma_update\n\n\n//\n// -- Create the data series\n\nfunction createDataSeries(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\t// No data, just the model\n\tif ( aux.NEpochs == 0 ) {\n\t\tresplot_dispose();\n\t\tcreateMainReducer(isel);\n\t\treturn;\n\t}\n\n\tif ( sdata ) sdata.dispose();\n\n\tsdata = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tname: 'data',\n\t\t\tlegendLabelText: 'Data',\n\t\t\txAxis: vxAxis,\n\t\t\tyAxis: valueAxis,\n\t\t\tvalueXField: \"xc\",\n\t\t\tvalueYField: \"y\",\n\t\t\tstroke: dcolor.hex,\n\t\t\tfill: dcolor.hex,\n\t\t\t//tooltip: am5.Tooltip.new(root, {  // Data value tooltip?\n\t\t\t//labelText: \"{valueY}\"\n\t\t\t//})\n\t\t})\n\t);\n\tsdata.strokes.template.setAll({\n\t\tstrokeWidth: 2\n\t});\n\n\t/*\n\t  sdata.bullets.push(function() {\n      return am5.Bullet.new(root, {\n\t  sprite: am5.Circle.new(root, {\n\t  radius: 3,\n\t  //fill: sdata.get(\"fill\"),\n\t  fill: null,\n\t  stroke: dcolor.hex,\n\t  strokeWidth: 1,\n\t  opacity: 1\n\t  })\n      });\n\t  });\n\t*/\n\tsdata.data.setAll(my_chartdata.dat);\n\n\n\t// -- The uncertainties error bars\n\n\tvar series = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tvalueXField: 'xc',\n\t\t\tvalueYField: 'y',\n\t\t\tname: 'uncert',\n\t\t\tlegendLabelText: 'Uncert.',\n\t\t\txAxis: vxAxis,\n\t\t\tyAxis: valueAxis,\n\t\t\tstroke: null,\n\t\t\tfill: dcolor.hex,\n\t\t\tvisible: false  // Hidden by default\n\t\t})\n\t);\n\n\tseries.data.setAll(my_chartdata.dat);\n\n\n\t// Add error bars as bullet with custom graphics\n\tseries.bullets.push(function() {\n\t\tvar graphics = am5.Graphics.new(root, {\n\t\t\tstroke: dcolor.hex,\n\t\t\tstrokeWidth: 1,\n\t\t\tfill: null,\n\t\t\tdraw: function(display, target) {\n\t\t\t\tvar dataItem = target.dataItem;\n\n\t\t\t\tvar  err = dataItem.dataContext.error,\n\t\t\t\t\ty0 = valueAxis.valueToPosition(0),\n\t\t\t\t\ty1 = valueAxis.valueToPosition(err);\n\t\t\t\tvar height =\n\t\t\t\t\tvalueAxis.get(\"renderer\").positionToCoordinate(y1) - valueAxis.get(\"renderer\").positionToCoordinate(y0);\n\t\t\t\tdisplay.moveTo(0, -height);\n\t\t\t\tdisplay.lineTo(0, height);\n\t\t\t}\n\t\t});\n\n\t\treturn am5.Bullet.new(root, {\n\t\t\tdynamic: true,\n\t\t\tsprite: graphics\n\t\t});\n\t});\n\n\n\t// Fill the scrollbar values\n\tsbseries.data.setAll(my_chartdata.dat);\n\n\n\t// Main Reducer always first (and before residuals and components)\n\tcreateMainReducer(isel);\n\n\n\t// Residuals\n\tdocument.getElementById('box-resid-in').style.visibility = 'visible';\n\tcreateResiduals(isel);\n\n\t// Residuals visible?\n\tresid_plot = aux.datinfo[isel].resid_visible;\n\n\t// Reset plot for residuals?\n\tif ( resid_plot )\n\t\tplot_reset();\n\n}  // end createDataSeries\n\n\n//\n// -- Create series for each component of a model\n\nfunction createCompSeries(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\tvar p = getModels(chart_data, isel);\n\n\tvar series, cname, hs, icol = 0;\n\n\t// -- Components\n\tfor (var i = 0; i < aux.modinfo[isel].n_comps; i++) {  // Components in a model\n\t\tcname = aux.modinfo[isel].components[i];\n\t\tconsole.log('Create component:', cname);\n\n\t\tseries = chart.series.push(\n\t\t\tam5xy.LineSeries.new(root, {\n\t\t\t\tvalueXField: 'comp_x',\n\t\t\t\tvalueYField: cname,\n\t\t\t\txAxis : vxAxis,\n\t\t\t\tyAxis: valueAxis,\n\t\t\t\tname: cname,\n\t\t\t\tstrokeWidth: 2,\n\t\t\t\tshowOnInit: false,\n\t\t\t\tstroke: mycolors[icol % n_myc].hex,\n\t\t\t\tfill: mycolors[icol % n_myc].hex,\n\t\t\t\tvisible: false\n\t\t\t})\n\t\t);\n\t\tseries.strokes.template.setAll({\n\t\t\tstrokeWidth: 2,\n\t\t\tstroke: mycolors[icol % n_myc].hex,\n\t\t\tvisible: true\n\t\t});\n\t\tseries.data.setAll(my_chartdata.comp);\n\t\tconsole.log('  color:', mycolors[icol % n_myc].name, mycolors[icol % n_myc].hex);\n\t\ticol++;\n\t}  // end for i\n\n}  // end createCompSeries\n\n\n\n//\n// -- Cursor creation and events management\n\nfunction createCursor() {\n\tvar cursor = chart.set(\"cursor\",\n\t\t\t\t\t\t   am5xy.XYCursor.new(root, {\n\t\t\t\t\t\t\t   behavior: \"zoomXY\",\n\t\t\t\t\t\t\t   xAxis: vxAxis,\n\t\t\t\t\t\t\t   yAxis: valueAxis\n\t\t\t\t\t\t   })\n\t\t\t\t\t\t  );\n\tcursor.lineX.set(\"forceHidden\", false);\n\tcursor.lineY.set(\"forceHidden\", false);\n\n\t//vxAxis.set(\"tooltip\", am5.Tooltip.new(root, {}));\n\t//valueAxis.set(\"tooltip\", am5.Tooltip.new(root, {}));\n\n\n\t// Container to hold cursor X, Y values\n\tvar curXY_container = am5.Container.new(root, {\n\t\tvisible: true,\n\t\tlayout: root.horizontalLayout,\n\t\tminWidth: 200,\n\t\theight: 36,\n\t\tx: am5.p50,\n\t\ty: 0,\n\t\tcenterX: 0,\n\t\tcenterY: 36,\n\t\tbackground: am5.RoundedRectangle.new(root, {\n\t\t\tfill: am5.color('#aaa'),\n\t\t\tfillOpacity: 0.2\n\t\t})\n\t});\n\n\tchart.plotContainer.children.push(curXY_container);\n\n\t// Text Label in the cursor Container\n\tvar curXY_text = curXY_container.children.push(am5.Label.new(root, {\n\t\tid: 'cursor_pos',\n\t\ttext: '',\n\t\tmarginRight: 0,\n\t\tfontWeight: 'bolder',\n\t\tfill: dcolor.hex\n\t}));\n\n\t// Monitor actual values of cursor position\n\tvar cursorPosition = {\n\t\tx: null,\n\t\ty: null\n\t};\n\n\tcursor.events.on(\"cursormoved\", function(ev) {\n\t\tif ( cur_track ) {\n\t\t\tvar x = ev.target.getPrivate(\"positionX\");\n\t\t\tvar y = ev.target.getPrivate(\"positionY\");\n\t\t\tif ( curXY_container.isHidden() )\n\t\t\t\tcurXY_container.show();\n\t\t\tcursorPosition.x = vxAxis.positionToValue(vxAxis.toAxisPosition(x));\n\t\t\tif ( resyAxis.isVisible() )\n\t\t\t\tcursorPosition.y = resyAxis.positionToValue(resyAxis.toAxisPosition(y));\n\t\t\telse\n\t\t\t\tcursorPosition.y = valueAxis.positionToValue(valueAxis.toAxisPosition(y));\n\t\t\tvar cur_pos = '[black]X:[/] '+ cursorPosition.x.toPrecision(6) +'\\xa0\\xa0\\ [black]Y:[/] '+ cursorPosition.y.toPrecision(6);\n\t\t\tcurXY_container.setAll({x: am5.percent(x*100), y: am5.percent(y*100)});\n\t\t\tcurXY_text.setAll({text: cur_pos});\n\t\t}\n\n\t});\n\n\t// Hide container when cursor out of the plot\n\tcursor.events.on(\"cursorhidden\", function() {\n\t\tcurXY_container.hide();\n\t});\n\n\n\t// -- Plot zoom management\n\n\t// See https://www.amcharts.com/docs/v5/tutorials/axis-zoom-end-event/\n\tvar xstartEndChangeTimeout, ystartEndChangeTimeout;\n\n\tvxAxis.on(\"start\", handleXStartEndChange);\n\tvxAxis.on(\"end\", handleXStartEndChange);\n\tvalueAxis.on(\"start\", handleYStartEndChange);\n\tvalueAxis.on(\"end\", handleYStartEndChange);\n\n\tresyAxis.on(\"start\", handleYStartEndChange);\n\tresyAxis.on(\"end\", handleYStartEndChange);\n\n\t// csr2 range kept static\n\tcsr2yAxis.on(\"start\", function() {csr2yAxis.zoomToValues(0, csr2yAxis.getPrivate('max'))});\n\tcsr2yAxis.on(\"end\", function() {csr2yAxis.zoomToValues(0, csr2yAxis.getPrivate('max'))});\n\n\tfunction handleXStartEndChange() {\n\t\tif (xstartEndChangeTimeout) {\n\t\t\tclearTimeout(xstartEndChangeTimeout);\n\t\t}\n\t\txstartEndChangeTimeout = setTimeout(function() {\n\t\t\tzoomXEnded();\n\t\t}, 50);\n\t}\n\n\tfunction handleYStartEndChange() {\n\t\tif (ystartEndChangeTimeout) {\n\t\t\tclearTimeout(ystartEndChangeTimeout);\n\t\t}\n\t\tystartEndChangeTimeout = setTimeout(function() {\n\t\t\tzoomYEnded();\n\t\t}, 50);\n\t}\n\n\t// -- X zoom management\n\n\tfunction zoomXEnded() {\n\t\tconsole.log(\"Zoom X ended!\");\n\t\tconsole.log('vxAxis ranges:', vxAxis.get('min'), vxAxis.get('max'), vxAxis.get('start'), vxAxis.get('end'));\n\n\t\tvar x_min = vxAxis.get('min') + vxAxis.get('start') * (vxAxis.get('max') - vxAxis.get('min')),\n\t\t\tx_max = vxAxis.get('min') + vxAxis.get('end') * (vxAxis.get('max') - vxAxis.get('min'));\n\n\t\tx_range.min = +x_min.toPrecision(4);\n\t\tx_range.max = +x_max.toPrecision(4);\n\n\t\tconsole.log(\"zoomXEnded: X cursor selected from \"+ x_min +\" to \"+ x_max);\n\t\tinxy_ranges.xmin.value = x_min.toPrecision(4);\n\t\tinxy_ranges.xmax.value = x_max.toPrecision(4);\n\t\tlog_label_ckeck('x');\n\n\t}  // end zoomXEnded\n\n\n\t// -- Y zoom management\n\n\tfunction zoomYEnded() {\n\t\tconsole.log(\"Zoom Y ended!\");\n\t\t//console.log(\"Start, End:\", valueAxis.getPrivate(\"selectionMin\"), valueAxis.getPrivate(\"selectionMax\"));\n\n\t\tvar y_min, y_max;\n\n\t\tif ( resyAxis.isVisible() ) {\n\t\t\tconsole.log('zoomYEnded: resyAxis ranges:', resyAxis.get('min'), resyAxis.get('max'), resyAxis.get('start'), resyAxis.get('end'));\n\t\t\ty_min = resyAxis.get('min') + resyAxis.get('start') * (resyAxis.get('max') - resyAxis.get('min')),\n\t\t\ty_max = resyAxis.get('min') + resyAxis.get('end') * (resyAxis.get('max') - resyAxis.get('min'));\n\t\t} else {\n\t\t\tconsole.log('zoomYEnded: valueAxis ranges:', valueAxis.get('min'), valueAxis.get('max'), valueAxis.get('start'), valueAxis.get('end'));\n\t\t\ty_min = valueAxis.get('min') + valueAxis.get('start') * (valueAxis.get('max') - valueAxis.get('min')),\n\t\t\ty_max = valueAxis.get('min') + valueAxis.get('end') * (valueAxis.get('max') - valueAxis.get('min'));\n\t\t}\n\t\tconsole.log(\"zoomYEnded: Y cursor selected from \"+ y_min +\" to \"+ y_max);\n\n\t\ty_range.min = +y_min.toPrecision(4);\n\t\ty_range.max = +y_max.toPrecision(4);\n\n\t\tinxy_ranges.ymin.value = y_min.toPrecision(4);\n\t\tinxy_ranges.ymax.value = y_max.toPrecision(4);\n\t\tlog_label_ckeck('y');\n\n\t}  // end zoomYEnded\n\n}  // end createCursor\n\n\n//\n// -- Use aux data to set the main plot X and Y axis labels, X range and Y tick values format\n\nfunction set_xy_from_aux() {\n\n\t// X axis label\n\tchart.xAxes.getIndex(0).children.unshift(\n\t\tam5xy.AxisLabel.new(root, {\n\t\t\ttext: aux.modinfo[c_imod].x_label,\n\t\t\tfontSize: 18,\n\t\t\tx: am5.p50,\n\t\t\tcenterX:am5.p50\n\t\t})\n\t);\n\n\t// Y axis label\n\tchart.yAxes.getIndex(0).children.unshift(\n\t\tam5xy.AxisLabel.new(root, {\n\t\t\ttext: aux.modinfo[c_imod].y_label,\n\t\t\tfontSize: 18,\n\t\t\ty: am5.p50,\n\t\t\trotation: -90\n\t\t})\n\t);\n\t//To modify: chart.yAxes.getIndex(0).children.getIndex(0).set('text', 'New label')\n\n\t// X axis range\n\tchart.xAxes.getIndex(0).set('min', aux.modinfo[c_imod].x_min);\n\tchart.xAxes.getIndex(0).set('max', aux.modinfo[c_imod].x_max);\n\n\t// Use exponential notation for Y axis labels when small values are involved\n\tvalueAxis.numberFormatter = am5.NumberFormatter.new(root, {});\n\n\tif ( aux.modinfo[c_imod].y_max < 0.1 )\n\t\tvalueAxis.numberFormatter.set(\"numberFormat\", '#.00e');\n\telse\n\t\tvalueAxis.numberFormatter.set(\"numberFormat\", \"#,###.#####\");\n\n}  // end set_xy_from_aux\n\n\n//\n// -- Select current model from multi-models list\n\nfunction p_select(isel, new_file) {\n\tvar ip = document.getElementById('p_selector').value;\n\n\tif ( isel === undefined )\n\t\tisel = +ip;\n\telse {\n\t\tif ( isel === 'prev' )\n\t\t\tisel = +ip - 1;\n\t\telse if ( isel === 'next' )\n\t\t\tisel = +ip + 1;\n\n\t\tdocument.getElementById('p_selector').value = isel;\n\t}\n\n\tif ( isel == 0 ) {\n\t\tdocument.getElementById('prev_model').classList.add('div-hide');\n\t\tdocument.getElementById('next_model').classList.remove('div-hide');\n\t} else if ( isel == aux.NEpochs - 1 ) {\n\t\tdocument.getElementById('prev_model').classList.remove('div-hide');\n\t\tdocument.getElementById('next_model').classList.add('div-hide');\n\t} else {\n\t\tdocument.getElementById('prev_model').classList.remove('div-hide');\n\t\tdocument.getElementById('next_model').classList.remove('div-hide');\n\t}\n\n\tif ( new_file === undefined )\n\t\tnew_file = false;\n\n\tc_imod = isel;  // Set index of selected model\n\n\t// Create the chart\n\tcreate_chart();\n\n\n\t// The residuals highlighted range\n\tcreateResidRange(resid);\n\n\t// The cursor\n\tcreateCursor();\n\n\t// The JSON reformatted data\n\tmy_chartdata = mydata2chart(isel);\n\n\t// The series\n\tcreateDataSeries();\n\tcreateCompSeries();\n\n\t// Reset X / Y ranges\n\txy_range_reset();\n\tset_xy_from_aux();  // Some X and Y settings from aux data\n\n\t// First reset plot area to data, set to linear scale and clear all series\n\tplot_reset();\n\n\t// The main legend set legend data after all the events are set on template\n\tcreateMainLegend();\n\n\tcreateFitLogTabs();  // The fit log tables\n\n\t// Appearance settings\n\tsdata.appear(1000,100);\n\tchart.series.getIndex(2).appear(1500,100);  // The model\n}  // end p_select\n\n\n//\n// -- Legends\n\n// -- Main plot legend\n\nfunction createMainLegend() {\n\tif ( legend ) legend.dispose();\n\n\tlegend = chart.children.push(\n\t\tam5.Legend.new(root, {\n\t\t\tcenterX: am5.p50,\n\t\t\tx: am5.p50,\n\t\t\tmarginTop: 20,\n\t\t\tuseDefaultMarker: true,\n\t\t\tlayout: am5.GridLayout.new(root, {\n\t\t\t\t//maxColumns: 5,\n\t\t\t\tfixedWidthGrid: true\n\t\t\t}),\n\t\t\t//tooltip: am5.Tooltip.new(root, {labelText: ttAdapter})\n\t\t})\n\t);\n\n\n\t//legend.labels.template.text = \"[bold]{name}[/]\";\n\tlegend.labels.template.set(\"fontWeight\", 600);\n\tlegend.valueLabels.template.set(\"forceHidden\", true);  // Hide the value part of the label\n\n\tlegend.markerRectangles.template.setAll({\n\t\tcornerRadiusTL: 8,\n\t\tcornerRadiusTR: 8,\n\t\tcornerRadiusBL: 8,\n\t\tcornerRadiusBR: 8,\n\t\twidth: 16,\n\t\theight: 16,\n\t\tstrokeWidth: 2,\n\t\tstroke: am5.color(\"#ccc\")\n\t});\n\n\n\t// When legend item container is hovered highlight the series\n\tlegend.itemContainers.template.events.on(\"pointerover\", function(e) {\n\t\tvar series = e.target.dataItem.dataContext;\n\t\tseries.strokes.template.setAll({\n\t\t\tstrokeWidth: 4\n\t\t});\n\t});\n\n\t// When legend item container is unhovered reset the series stroke width\n\tlegend.itemContainers.template.events.on(\"pointerout\", function(e) {\n\t\tvar series = e.target.dataItem.dataContext;\n\t\tseries.strokes.template.setAll({\n\t\t\tstrokeWidth: 2\n\t\t});\n\t});\n\tlegend.data.setAll(chart.series.values);\n\n\t// Highlight the data/uncertainties/model series in the legend\n\tfor ( var i = 0; i < 3; i++ ) {\n\t\t//console.log('legend item:', i, legend.itemContainers.getIndex(i));\n\t\tif ( legend.itemContainers.getIndex(i) !== undefined )\n\t\t\tlegend.itemContainers.getIndex(i).set('background', am5.RoundedRectangle.new(root, { fill: am5.color(0x186680), fillOpacity: 0.2 }));\n\t}\n\n\t//See https://github.com/amcharts/amcharts4/issues/939\n\tif ( resid && !resid.isDisposed() )\n\t\tresid.get(\"legendDataItem\").get(\"itemContainer\").hide();\n\tif ( csr2 && !csr2.isDisposed() )\n\t\tcsr2.get(\"legendDataItem\").get(\"itemContainer\").hide();\n\n}  // end createMainLegend\n\n\n// -- Reset the plot (def. to show data)\n\nfunction plot_reset(lin_reset=false) {\n\tif ( resid_plot ) {\n\t\tif ( lin_reset )\n\t\t\tx_linlog_toggle(true);\n\t\t// Hide all series but resid and csr2\n\t\tvalueAxis.hide();\n\t\tvar sname;\n\t\tfor (var i = 0; i < chart.series.length; i++ ) {\n\t\t\tsname = chart.series.getIndex(i).get('name');\n\t\t\tif ( sname !== resid.get('name') && sname !== csr2.get('name') && chart.series.getIndex(i).get('visible') )\n\t\t\t\tchart.series.getIndex(i).hide();\n\t\t}\n\n\t\tn_sigma = +document.getElementById('n_sigma').value;\n\t\tresrangeDataItem.set('value', -n_sigma);\n\t\tresrangeDataItem.set('endValue', n_sigma);\n\t\tresrangeDataItem.get(\"axisFill\").set('fillOpacity', 0.1);\n\t\tvalueAxis.gridContainer.set('opacity', 0);\n\t\tresyAxis.gridContainer.set('opacity', 1);\n\t\tresyAxis.show();\n\t\tcsr2yAxis.show();\n\n\t\ty_linlog_toggle(true);\n\n\t\tresyAxis.zoomToValues(-n_sigma - 1, n_sigma + 1);\n\n\t\t// Show residuals and sum of squared residuals series\n\t\tif ( resid && !resid.isDisposed() )\n\t\t\tresid.show();\n\t\tif ( csr2 && !csr2.isDisposed() )\n\t\t\tcsr2.show();\n\t\tdocument.getElementById('resid-cb').checked = true;\n\t} else {\n\t\tif ( lin_reset ) {\n\t\t\tconsole.log(\"Reset X/Y to linear\");\n\t\t\tx_linlog_toggle(true);\n\t\t\ty_linlog_toggle(true);\n\t\t}\n\t\tresrangeDataItem.get(\"axisFill\").set('fillOpacity', 0);\n\t\tvalueAxis.gridContainer.set('opacity', 1);\n\t\tresyAxis.gridContainer.set('opacity', 0);\n\t\tresyAxis.hide();\n\t\tcsr2yAxis.hide();\n\n\t\tif ( resid && !resid.isDisposed() )\n\t\t\tresid.hide();\n\t\tif ( csr2 && !csr2.isDisposed() )\n\t\t\tcsr2.hide();\n\n\t\t// Show data and model series\n\t\tvalueAxis.show();\n\t\tsdata.show();\n\t\tchart.series.values[i_chmodel].show();\n\t\tdocument.getElementById('resid-cb').checked = false;\n\t}\n}  // end plot_reset\n\n\n// -- Dispose residuals plot series (e.g. when only Model available) - TODO\n\nfunction resplot_dispose() {\n\tif ( resid && !resid.isDisposed() )\n\t\tresid.dispose();\n\tif ( csr2 && !csr2.isDisposed() )\n\t\tcsr2.dispose();\n\n}  // end resplot_dispose\n\n\n// -- Residuals legend\n\nfunction createResidLegend() {\n\n\t// Toggle residuals visibility\n\t// Note that in v5 hide() and show() do not causes a full range replot!\n\n\tdocument.getElementById('resid-cb').addEventListener('click', function(ev) {\n\t\tif ( resyAxis.isVisible() )\n\t\t\tresid_plot = false;\n\t\telse\n\t\t\tresid_plot = true;\n\n\t\tplot_reset();\n\t\tset_init_y_range();\n\t});\n\n}  // end createResidLegend\n\n\n// -- Clear range input fields\n\nfunction inxy_range_reset() {\n\tinxy_ranges.xmin.value = '';\n\tinxy_ranges.xmax.value = '';\n\tinxy_ranges.ymin.value = '';\n\tinxy_ranges.ymax.value = '';\n\n}  // end inxy_range_reset\n\n\n// -- Reset X and Y plot range to initial values\n\nfunction xy_range_reset() {\n\tinxy_range_reset();  // Clear manual range input fields\n\tset_init_x_range();\n\tset_init_y_range();\n\n}  // end xy_range_reset\n\n\n//\n// -- amChart init code\n\nfunction create_chart() {\n\n\t// -- Create the amCharts root element\n\n\tif ( root ) root.dispose();\n\tif ( root && !root.isDisposed() ) console.log('root still exists...');\n\n\troot = am5.Root.new(\"chartdiv\");\n\n\t// Theme animated\n\tif ( am_anim )\n\t\troot.setThemes([\n\t\t\tam5themes_Animated.new(root)\n\t\t]);\n\n\n\t// -- Create the chart container\n\n\tif ( chart ) chart.dispose();\n\n\tchart = root.container.children.push(\n\t\tam5xy.XYChart.new(root, {\n\t\t\tpanX: false,  // Managed by cursor\n\t\t\tpanY: false,\n\t\t\twheelY: \"zoomX\",\n\t\t\tpinchZoomX: true,\n\t\t\tpaddingLeft: 0,\n\t\t\tlayout: root.verticalLayout\n\t\t})\n\t);\n\n\n\t// Create the X axis\n\n\tvar vxRenderer = am5xy.AxisRendererX.new(root, {});\n\tif ( vxAxis ) vxAxis.dispose();\n\n\tvxAxis = chart.xAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\tstrictMinMax: true,\n\t\t\tnumberFormat: '#',\n\t\t\trenderer: vxRenderer\n\t\t})\n\t);\n\n\tvxAxis.valueXField = 'x';\n\n\tvxRenderer.grid.template.setAll({\n\t\tstroke: am5.color(\"#ddd\"),\n\t\tstrokeOpacity: 1\n\t});\n\n\t//--vxAxis.set('min', aux.modinfo[c_imod].x_min);\n\t//--vxAxis.set('max', aux.modinfo[c_imod].x_max);\n\n\n\t// -- Create the main Y-values axis\n\n\tvar vAR = am5xy.AxisRendererY.new(root, {});\n\tif ( valueAxis ) valueAxis.dispose();\n\n\tvalueAxis = chart.yAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\t//maxDeviation: 1,\n\t\t\tstrictMinMax: true,\n \t\t\trenderer: vAR\n\t\t})\n\t);\n\n\tvAR.grid.template.setAll({\n\t\tstroke: am5.color(\"#ddd\"),\n\t\tstrokeOpacity: 1\n\t});\n\n\n\t// -- Eventually the second Y-value axis (for residuals). Note that it is only checked here!\n\n\t// The cumulative square sum of residuals\n\n\tvar vAR3 = am5xy.AxisRendererY.new(root, {\n\t\topposite: true,\n\t\tstrokeOpacity: 1,\n\t\tstrokeWidth: 4,\n\t\tstroke: am5.color(\"#900\")\n\t});\n\tcsr2yAxis = chart.yAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\trenderer: vAR3\n\t\t})\n\t);\n\n\tcsr2yAxis.strictMinMax = true;\n\tvAR3.grid.template.set(\"forceHidden\", true);\n\t//csr2yAxis.gridContainer.set('opacity', 0);\n\n\tcsr2yAxis.children.unshift(\n\t\tam5.Label.new(root, {\n\t\t\trotation: -90,\n\t\t\ttext: \"Cumulative sum of squared residuals\",\n\t\t\tfontSize: 18,\n\t\t\tfill: am5.color(\"#900\"),\n\t\t\ty: am5.p50,\n\t\t\tcenterX: am5.p50\n\t\t})\n\t);\n\n\n\tvar vAR2 = am5xy.AxisRendererY.new(root, {\n\t\tstrokeOpacity: 1,\n\t\tstrokeWidth: 4,\n\t\tstroke: am5.color(\"#495C43\")\n\t});\n\tresyAxis = chart.yAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\tstrictMinMax: true,\n \t\t\trenderer: vAR2\n\t\t})\n\t);\n\tresyAxis.gridContainer.set('opacity', 0);\n\n\tresyAxis.children.unshift(\n\t\tam5.Label.new(root, {\n\t\t\trotation: -90,\n\t\t\ttext: \"Normalized residuals (\\u03C3)\",\n\t\t\tfontSize: 18,\n\t\t\ty: am5.p50,\n\t\t\tcenterX: am5.p50\n\t\t})\n\t);\n\n\n\t// -- Create the X axis scrollbar (not disabling labels and grid)\n\n\tchart.scrollbarX = am5xy.XYChartScrollbar.new(root, {\n\t\torientation: \"horizontal\",\n\t\theight: 50\n\t});\n\tchart.set(\"scrollbarX\", chart.scrollbarX);\n\n\tvar sbxAxis = chart.scrollbarX.chart.xAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\tstrictMinMax: true,\n\t\t\trenderer: am5xy.AxisRendererX.new(root, {\n\t\t\t\topposite: false,\n\t\t\t\tstrokeOpacity: 0\n\t\t\t})\n\t\t})\n\t);\n\n\tvar sbyAxis = chart.scrollbarX.chart.yAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\trenderer: am5xy.AxisRendererY.new(root, {})\n\t\t})\n\t);\n\n\tif ( sbseries ) sbseries.dispose();\n\n\tsbseries = chart.scrollbarX.chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\txAxis: sbxAxis,\n\t\t\tyAxis: sbyAxis,\n\t\t\tvalueXField: \"x\",\n\t\t\tvalueYField: \"y\"\n\t\t})\n\t);\n\n\tsbseries.fills.template.setAll({\n\t\tvisible: true,\n\t\tfillOpacity: 0.3\n\t});\n\n\n\t// -- Manage the click on the legend labels, in particular \"residuals\"\n\n\t// The export menu\n\tvar exporting = am5plugins_exporting.Exporting.new(root, {\n\t\tmenu: am5plugins_exporting.ExportingMenu.new(root, {})\n\t});\n\n\t// The annotations tool\n\tvar annotator = am5plugins_exporting.Annotator.new(root, {});\n\tvar menuitems = exporting.get(\"menu\").get(\"items\");\n\n\tmenuitems.push({\n\t\ttype: \"separator\"\n\t});\n\n\tmenuitems.push({\n\t\ttype: \"custom\",\n\t\tlabel: \"Annotate\",\n\t\tcallback: function() {\n\t\t\tthis.close();\n\t\t\tannotator.toggle();\n\t\t}\n\t});\n\n\n\tchart.zoomOutButton.disabled = true;  // Disable zoom out button\n}\n\n\n//\n// -- Proceed with the chart creation once the DOM is fully loaded\n\nam5.ready(function() {\n\n\tif ( chart_data !== undefined ) {\n\n\t\t// Read metadata info\n\t\tgetauxinfo();\n\n\t\t// Let p_select do all the jobs\n\t\tp_select();\n\n\n\t\t// Highlight button for current model\n\t\tif ( aux.NEpochs > 1 )\n\t\t\tdocument.getElementById('p_selector').value = c_imod;\n\n\t} else {\n\t\tfor (var j = 0; j < 2 * Math.PI; j += 0.1)\n\t\t\tmy_chartdata.push({\"lambda\": parseInt(1000 + j*1500), \"y\": Math.sin(j)});\n\n\t}\n\n\n\t// The residuals legend is created only once\n\tcreateResidLegend();\n\n\t// Appearance settings\n\tchart.appear(1000,200);\n\n});  // end am5.ready()\n\n\n\n//\n// -- Set initial X range\n\nfunction set_init_x_range() {\n\tvar x_min, x_max;\n\n\tif ( aux.modinfo[c_imod].x_range ) {  // User defined X range\n\t\tconsole.log('set_init_x_range: Set x_range:', aux.modinfo[c_imod].x_range);\n\t\tx_min = aux.modinfo[c_imod].x_range[0];\n\t\tx_max = aux.modinfo[c_imod].x_range[1];\n\t} else {\n\t\tx_min = aux.modinfo[c_imod].x_min;\n\t\tx_max = aux.modinfo[c_imod].x_max;\n\t\tconsole.log('set_init_x_range: X range set to:', x_min, x_max);\n\t}\n\n\tx_range.min = x_min;\n\tx_range.max = x_max;\n\tlog_label_ckeck('x');\n\n\tinxy_ranges.xmin.value = x_min;\n\tinxy_ranges.xmax.value = x_max;\n\n\tif ( aux.modinfo[c_imod].x_log ) {  // User requested X log scale\n\t\tconsole.log('Set x_log:', aux.modinfo[c_imod].x_log);\n\t\tdocument.getElementById('x_log-cb').checked = true;\n\t\tx_linlog_toggle();\n\t} else\n\t\tx_linlog_toggle(true);\n\n\tvxAxis.setAll({'start': 0, 'end': 1, 'min': x_min, 'max': x_max})\n\n}  // end set_init_x_range\n\n\n//\n// -- Set initial Y data range\n\nfunction set_init_y_range() {\n\tvar y_min, y_max;\n\n\t// Main Y axis range\n\tif ( aux.modinfo[c_imod].y_range ) {  // User defined Y range\n\t\tconsole.log('set_init_y_range: set y_range from aux:', aux.modinfo[c_imod].y_range);\n\t\ty_min = aux.modinfo[c_imod].y_range[0];\n\t\ty_max = aux.modinfo[c_imod].y_range[1];\n\t} else {\n\t\ty_min = aux.modinfo[c_imod].y_min;\n\t\ty_max = aux.modinfo[c_imod].y_max;\n\t\tconsole.log('set_init_y_range: Y range set to:', y_min, y_max);\n\t}\n\ty_range.min = y_min;\n\ty_range.max = y_max;\n\tlog_label_ckeck('y');\n\n\tif ( aux.modinfo[c_imod].y_log ) {  // User requested Y log scale\n\t\tconsole.log('Set y_log:', aux.modinfo[c_imod].y_log);\n\t\tdocument.getElementById('y_log-cb').checked = true;\n\t\ty_linlog_toggle();\n\t} else\n\t\ty_linlog_toggle(true);\n\n\tvalueAxis.setAll({'start': 0, 'end': 1, 'min': y_min, 'max': y_max});\n\n\t// Residuals axis range\n\tresyAxis.setAll({'start': 0, 'end': 1, 'min': -n_sigma - 1, 'max': n_sigma + 1});\n\n\tif ( resid_plot ) {\n\t\tinxy_ranges.ymin.value = (-n_sigma - 1).toPrecision(4);\n\t\tinxy_ranges.ymax.value = (n_sigma + 1).toPrecision(4);\n\t} else {\n\t\tinxy_ranges.ymin.value = y_min.toPrecision(4);\n\t\tinxy_ranges.ymax.value = y_max.toPrecision(4);\n\t}\n\n}  // end set_init_y_range\n\n\n//\n// -- Toggle logarithmic X / Y label color\n\nfunction log_label_ckeck(axis='x') {\n\tvar xl = document.getElementById('x_log-lab'),\n\t\tyl = document.getElementById('y_log-lab');\n\n\tif ( axis.indexOf('x') >= 0 ) {\n\t\tif ( x_range.min <= 0 )\n\t\t\txl.style.color = 'var(--secondary)';\n\t\telse\n\t\t\txl.style.color = '';\n\t} else if ( axis.indexOf('y') >= 0 ) {\n\t\tif ( y_range.min <= 0 )\n\t\t\tyl.style.color = 'var(--secondary)';\n\t\telse\n\t\t\tyl.style.color = '';\n\t}\n\n}  // end log_label_ckeck\n\n\n//\n// -- Toggle linear / logarithmic X / Y scale\n\nfunction x_linlog_toggle(lin_reset=false) {\n\tx_range.logscale = document.getElementById('x_log-cb').checked;\n\n\tif ( x_range.logscale  && lin_reset ) {\n\t\tdocument.getElementById('x_log-cb').checked = false;\n\t\tvxAxis.set('logarithmic', false);\n\t\tx_range.logscale = false;\n\t\treturn;\n\t}\n\n\t// From lin to log\n\tif ( x_range.logscale ) {\n\t\tif ( x_range.min <= 0 ) {  // TODO\n\t\t\tx_linlog_toggle(true);\n\t\t\treturn;\n        }\n\t\tvxAxis.set('logarithmic', true);\n\t} else {  // From log to lin\n\t\tvxAxis.set('logarithmic', false);\n\t}\n\n\tvxAxis.setAll({'min': x_range.min, 'max': x_range.max, 'start': 0, 'end': 1});\n\tconsole.log('x_linlog_toggle: X range reset to:', x_range.min, x_range.max);\n\n}  // end x_linlog_toggle\n\n\n// -- Toggle Y axis logarithmic scale; disabled for residuals plot\n\nfunction y_linlog_toggle(lin_reset=false) {\n\ty_range.logscale = document.getElementById('y_log-cb').checked;\n\n\tif ( y_range.logscale && (resyAxis.isVisible() || lin_reset) ) {\n\t\tdocument.getElementById('y_log-cb').checked = false;\n\t\tvalueAxis.set('logarithmic', false);\n\t\ty_range.logscale = false;\n\t\tif ( lin_reset )\n\t\t\treturn;\n\t}\n\tif ( resyAxis.isVisible() )\n\t\treturn;\n\n\t// From lin to log\n\tif ( y_range.logscale ) {\n\t\tif ( y_range.min <= 0 ) {  // TODO\n\t\t\ty_linlog_toggle(true);\n\t\t\treturn;\n\t\t}\n\t\tvalueAxis.set('logarithmic', true);\n\t} else {  // From log to lin\n\t\tvalueAxis.set('logarithmic', false);\n\t}\n\n\tvalueAxis.setAll({'min': y_range.min, 'max': y_range.max, 'start': 0, 'end': 1});\n\tconsole.log('y_linlog_toggle: Y range reset to:', y_range.min, y_range.max);\n\n}  // end y_linlog_toggle\n\n\n//\n// -- Set X plot range to fixed range\n\nfunction inx_range_set() {\n\t// Note: need to parse to Float. It also requires \"0.nnn\" and not \".nnn\"\n\tvar x_size = vxAxis.get('max') - vxAxis.get('min');\n\tif ( x_size <= 0 )\n\t\tx_size = aux.modinfo[c_imod].x_step;\n\n\tvar x_min = inxy_ranges.xmin.value !== '' ? parseFloat(inxy_ranges.xmin.value) : vxAxis.get('min');\n\tvar x_max = inxy_ranges.xmax.value !== '' ? parseFloat(inxy_ranges.xmax.value) : vxAxis.get('max');\n\n\t// Order check\n\tif ( x_min > x_max ) {\n\t\tvar tmp = x_max;\n\t\tx_max = x_min;\n\t\tx_min = tmp;\n\t} else if ( x_min == x_max )\n\t\tx_max = x_min + aux.modinfo[c_imod].x_step;\n\n\tx_range.min = +x_min.toPrecision(4);\n\tx_range.max = +x_max.toPrecision(4);\n\tlog_label_ckeck('x');\n\n\tif ( x_range.logscale && x_range.min <= 0 )\n\t\treturn;\n\n\tvxAxis.setAll({'min': x_min, 'max': x_max, 'start': 0, 'end': 1});\n\tconsole.log('inx_range_set: requested X range:', x_min, x_max);\n\n}  // end inx_range_set\n\n\n//\n// -- Set the Y plot range to fixed range\n\nfunction iny_range_set() {\n\t// Note: need to parse to Float. It also requires \"0.nnn\" and not \".nnn\"\n\n\tvar y_min, y_max;\n\tif ( resyAxis.isVisible() ) {\n\t\ty_min = inxy_ranges.ymin.value !== '' ? parseFloat(inxy_ranges.ymin.value) : resyAxis.get('min');\n\t\ty_max = inxy_ranges.ymax.value !== '' ? parseFloat(inxy_ranges.ymax.value) : resyAxis.get('max');\n\t} else {\n\t\ty_min = inxy_ranges.ymin.value !== '' ? parseFloat(inxy_ranges.ymin.value) : valueAxis.get('min');\n\t\ty_max = inxy_ranges.ymax.value !== '' ? parseFloat(inxy_ranges.ymax.value) : valueAxis.get('max');\n\t}\n\n\t// Order check\n\tif ( y_min > y_max ) {\n        var tmp = y_max;\n        y_max = y_min;\n        y_min = tmp;\n\t} else if ( y_min == y_max )\n        return false;\n\n\ty_range.min = +y_min.toPrecision(4);\n\ty_range.max = +y_max.toPrecision(4);\n\tlog_label_ckeck('y');\n\n\tif ( y_range.logscale && y_range.min <= 0 )\n\t\treturn;\n\n\tif ( resyAxis.isVisible() ) {\n\t\tresyAxis.setAll({'min': y_min, 'max': y_max, 'start': 0, 'end': 1});\n\t} else {\n\t\tvalueAxis.setAll({'min': y_min, 'max': y_max, 'start': 0, 'end': 1});\n\t}\n\tconsole.log('iny_range_set: requested Y range:', y_min, y_max);\n\n}  // end iny_range_set\n\n\n//\n// -- Show/hide the components / models / extra log tables\n\nfunction gfit_table_toggle(id) {\n\tvar   divid = id +'-div',\n\t\te = document.getElementById(divid),\n\t\tsdiv = document.getElementById('fitlog_selector'),  // Selector divs\n\t\ttdiv = document.getElementById('fitlog_tables'),    // Table divs\n\t\ti = 0;\n\n\twhile (tdiv.childNodes[i]) {\n\t\tif ( tdiv.childNodes[i].id !== divid || ! isHidden(e) ) {\n\t\t\ttdiv.childNodes[i].className = 'div-hide';\n\t\t\tsdiv.childNodes[i].className = 'toggle_table-hdr';\n\t\t\tsdiv.childNodes[i].childNodes[0].className = 'div-show-inline';\n\t\t\tsdiv.childNodes[i].childNodes[1].className = 'div-hide';\n\t\t} else {\n\t\t\ttdiv.childNodes[i].className = 'out_table rep_div-show';\n\t\t\t//sdiv.scrollIntoView();\n\t\t\tsdiv.childNodes[i].className = 'toggle_table-hdr div-selected';\n\t\t\tsdiv.childNodes[i].childNodes[0].className = 'div-hide';\n\t\t\tsdiv.childNodes[i].childNodes[1].className = 'div-show-inline';\n\t\t}\n\t\ti++;\n\t}\n\n}  // end gfit_table_toggle\n\n\n//\n// -- Display input JSON formatted fit results in table format\n// -- Params:\n//    obj:    the json object\n//    type:   0=Model components + parameters, 1=fit_results, 2=extra\n//    tab_id: the (html div) id to give to the created table.\n//\t      For extra tables this is just an integer ith table id.\n\nvar tableFromJson = function(obj, type, tab_id) {\n\tif ( type !== 2 && (obj == undefined || obj.show == undefined) )\n\t\treturn;\n\n\tvar tlab = document.createElement('div'),\n\t\tcontentdiv, comp, cname, title;\n\n\t// Define component/evaluations reference object and header from type\n\n\tif ( type !== 2 )\n\t\tcomp = stripansi(obj.show);\n\n\t//console.log(comp);\n\n\tcontentdiv = document.createElement('div');\n\n\tswitch (type) {  // Model\n    case 0:\n\t\ttitle = '<div id=\"'+ tab_id +'_angle_down\" class=\"div-hide\"><svg class=\"icon-angle\" width=\"12\" height=\"18\"><use href=\"#angle-down\"></use></svg></div>'+\n\t\t\t'<div id=\"'+ tab_id +'_angle_up\" class=\"div-show-inline\"><svg class=\"icon-angle\" width=\"12\" height=\"18\"><use href=\"#angle-up\"></use></svg></div>'+\n\t\t\t'<span class=\"ud-angle-l\">Model</span>';\n\t\ttlab.setAttribute('id', tab_id +'_sect');\n\t\ttlab.setAttribute('class', 'toggle_table-hdr div-selected');\n\t\ttlab.setAttribute('onclick', \"gfit_table_toggle('\"+ tab_id +\"')\");\n\n\t\tvar div = document.createElement('div');\n\t\tvar pre = document.createElement('pre');\n\t\tpre.setAttribute('class', 'pre_res');\n\n\t\tvar cs = comp.split('\\n');\n\t\tcs[0] = '<span style=\"color: var(--green)\">'+ cs[0] +'</span>';\n\t\tcp = cs[2].split('│');\n\n\t\tfor (var i = 0; i < cp.length; i++)\n\t\t\tcp[i] = '<span style=\"color: var(--light); background-color: var(--dark);\">'+ cp[i] +'</span>';\n\t\tcs[2] = cp.join('│');\n\t\tvar ips = cs.indexOf('Parameters:');\n\t\tcs[ips] = '<span style=\"color: var(--green)\">'+ cs[ips] +'</span>';\n\t\tcp = cs[ips+2].split('│');\n\t\tfor (var i = 0; i < cp.length; i++)\n\t\t\tcp[i] = '<span style=\"color: var(--light); background-color: var(--dark);\">'+ cp[i] +'</span>';\n\t\tcs[ips+2] = cp.join('│');\n\n\t\tcomp = cs.join('\\n');\n\t\tpre.innerHTML = comp;\n\t\tdiv.appendChild(pre);\n\t\tcontentdiv.appendChild(div);\n\n\t\ttlab.innerHTML = title;\n\n\t\t// Create a table with its id\n\t\ttabdiv = document.createElement('div');\n\t\ttabdiv.appendChild(tlab);\n\t\ttabdiv.appendChild(contentdiv);\n\n\t\tbreak;\n\n    case 1:\n\t\t// The summary table\n\t\tvar div = document.createElement('div');\n\t\tdiv.setAttribute('class', 'summ-div');\n\t\tdiv.setAttribute('id', 'summ-div');\n\n\t\tvar cs = comp.split('\\n');\n\t\tcs[0] = '<span style=\"color: var(--green)\">'+ cs[0] +'</span>';\n\t\tcomp = cs.join('\\n');\n\t\tcomp = comp.replace(/OK/i, '<span style=\"color: var(--green)\">OK</span>');\n\n\t\tvar pre = document.createElement('pre');\n\t\tpre.setAttribute('class', 'pre_res_bf');\n\t\tpre.innerHTML = comp;\n\t\tdiv.appendChild(pre);\n\t\tcontentdiv.appendChild(div);\n\n\t\tbreak;\n\n    case 2:  // Extra tables\n\t\t//comp = obj.show;\n\t\tcomp = obj[\"+\"];\n\t\ttab_id = 'extra_table'+ tab_id;  // Must be unique\n\n\t\ttitle = '<div id=\"'+ tab_id +'_angle_down\" class=\"div-show-inline\"><svg class=\"icon-angle\" width=\"12\" height=\"18\"><use href=\"#angle-down\"></use></svg></div>'+\n\t\t\t'<div id=\"'+ tab_id +'_angle_up\" class=\"div-hide\"><svg class=\"icon-angle\" width=\"12\" height=\"18\"><use href=\"#angle-up\"></use></svg></div>'+\n\t\t\t'<span class=\"ud-angle-l\">'+ comp.label +'</span>';\n\n\t\ttlab.setAttribute('id', tab_id +'_sect');\n\t\ttlab.setAttribute('class', 'toggle_table-hdr');\n\t\ttlab.setAttribute('onclick', \"gfit_table_toggle('\"+ tab_id +\"')\");\n\n\t\ttlab.innerHTML = title;\n\n\t\tvar div = document.createElement('div');\n\t\ttab = document.createElement('table');\n\t\tdiv.appendChild(tab);\n\n\t\t// Create table header row using the field names\n\t\thdr = tab.createTHead();\n\t\ttr = hdr.insertRow(0);\n\n\t\tfor (var i = 0; i < comp.fields.length; i++) {\n\t\t\tvar th = document.createElement('th');\n\t\t\tth.innerHTML = comp.fields[i][\"+\"].label\n\t\t\ttr.appendChild(th);\n\t\t}\n\n\t\t// Table body\n\t\ttb = tab.appendChild(document.createElement('tbody'));\n\t\tvar nc = comp.fields[0][\"+\"].data.length;  // Number of rows\n\n\t\tfor (var i = 0; i < nc; i++) {\n\t\t\ttr = tb.insertRow(-1);\n\n\t\t\tfor (var j = 0; j < comp.fields.length; j++) {\n\t\t\t\ttabCell = tr.insertCell(-1);\n\t\t\t\ttabCell.innerHTML = comp.fields[j][\"+\"].data[i];\n\t\t\t}\n\t\t}\n\t\tcontentdiv.appendChild(div);\n\n\t\tbreak;\n\n    default:\n\t\tconsole.log(`Sorry, option not recognised: \${type}.`);\n\t}\n\n\n\tif ( tab_id !== undefined )\n\t\tcontentdiv.setAttribute('id', tab_id +'-div');\n\n\tif ( type == 2 )  // Extra tables hidden by default\n\t\tcontentdiv.setAttribute('class', 'div-hide');\n\telse\n\t\tcontentdiv.setAttribute('class', 'out_table rep_div-show');\n\n\t// Selector label and table returned separately\n\treturn {\"selector\": tlab, \"table\": contentdiv};\n\n}  // end tableFromJson\n\n\n//\n// -- The fit log tables section\n\nfunction createFitLogTabs() {\n\tvar tab_extra = [];\t// Additional GModelFit provided summary tables\n\tvar n_extratab = 0;\n\tvar divSelectData = document.getElementById('fitlog_selector');\n\tvar divShowData = document.getElementById('fitlog_tables');\n\tvar divFitRes = document.getElementById('fitres-div');\n\tvar tabdiv;\n\n\tdivSelectData.innerHTML = '';\n\tdivShowData.innerHTML = '';\n\tdivFitRes.innerHTML = '';\n\n\tvar p = getModels(chart_data, c_imod);\n\tif ( chart_data['+'].extra !== undefined )\n\t\ttab_extra.push(chart_data['+'].extra[c_imod]);\n\telse\n\t\ttab_extra.push({});\n\n\ttabdiv = tableFromJson(p, 0, 'comp_table');\n\n\tdivSelectData.appendChild(tabdiv.selector);  // Add the components + evaluations table to the container\n\tdivShowData.appendChild(tabdiv.table);\n\n\n\t// Extra tables in a separate div, if they exist for the current evaluations.\n\tif ( tab_extra[0] !== undefined ) {\n\t\tn_extratab = Object.keys(tab_extra[0]).length;  // TODO: replace [0] with epoch\n\t\tconsole.log('There are '+ n_extratab +' extra tables.');\n\n\t\tvar extratabs = Object.keys(tab_extra[0]);\n\t\tfor (var i = 0; i < n_extratab; i++) {\n\t\t\ttabdiv = tableFromJson(tab_extra[0][extratabs[i]], 2, i);\n\t\t\tif ( i == 0 )\n\t\t\t\ttabdiv.selector.style.borderLeft = '3px solid #ccc';\n\t\t\tdivSelectData.appendChild(tabdiv.selector);  // Add the extra table to the container\n\t\t\tdivShowData.appendChild(tabdiv.table);\n\t\t}\n\t\t//divShowData.appendChild(divShowExtra);\n\t} //else\n\t//divShowExtra.classList.add('div-hide');\n\n\tif ( chart_data['+'].fitsummary !== undefined ) {\n\t\ttabdiv = tableFromJson(chart_data['+'].fitsummary['+'], 1, 'fitres_table');\n\n\t\tif ( tabdiv !== undefined )\n\t\t\tdivFitRes.appendChild(tabdiv.table);\n\t}\n\n}  // end createFitLogTabs\n\n\t</script>\n\n</div>  <!-- interface -->\n\n\n<div class=\"trailer\">\n  A viewer for <a href=\"https://github.com/gcalderone/GModelFit.jl\" style=\"color: #fff; font-weight: bold;\" target=\"_new\">GModelFit</a> 1D results\n  &minus; <a style=\"color: #ccc;\" href=\"mailto:luciano.nicastro@inaf.it\">L. Nicastro</a>\n  &amp; <a style=\"color: #ccc;\" href=\"mailto:giorgio.calderone@inaf.it\">G. Calderone</a>, 2026\n</div>\n\n</body>\n</html>\n" == "<!DOCTYPE html>\n<html>\n  <head>\n\t<title>GModelFit viewer</title>\n\t<meta http-equiv=Content-Type content=\"text/html; charset=UTF-8\" />\n\t<meta http-equiv=Content-Script-Type content=\"text/javascript\" />\n\t<meta http-equiv=Content-Style-Type content=\"text/css\" />\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\" />\n\t<meta name=\"description\" content=\"GModelFitViewer - web viewer for the GModelFit produced results\" />\n\t<meta name=\"generator\" content=\"vi+LN\" />\n\t<meta name=\"author\" content=\"Luciano Nicastro, INAF\" />\n\t<meta name=\"publisher\" content=\"INAF\" />\n\t<meta name=\"language\" content=\"en\" />\n\t<meta name=\"version\" content=\"x.y.z\" />\n\t<meta name=\"date\" content=\"xxxx-yy-dd\" />\n\n\t<!-- @Remote -->\n\t<!--\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/index.js\"></script>\n\t\t<script src=\"https://cdn.amcharts.com/lib/5/xy.js\"></script>\n\t\t<script 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border-radius: 4px;\n\t\t  }\n\n\t\t  .simple_button:hover {\n\t\t\t  background-color: #ddd;\n\t\t\t  -webkit-transition: all 0.3s ease-in-out;\n\t\t\t  -moz-transition: all 0.3s ease-in-out;\n\t\t\t  transition: all 0.3s ease-in-out;\n\t\t  }\n\n\t\t  .transp_button {\n\t\t\t  padding: 0;\n\t\t\t  width: 32px;\n\t\t\t  height: 32px;\n\t\t\t  margin-left: 0.5rem;\n\t\t\t  border: 2px solid #e6e6e6;\n\t\t\t  border-radius: 50%;\n\t\t\t  background-color: transparent;\n\t\t\t  box-shadow: inset 0 0 0 1px #fff;\n\t\t\t  transition: box-shadow 0.25s linear;\n\t\t  }\n\n\t\t  .transp_button:hover {\n\t\t\t  box-shadow: inset 0 0 0 1.2em #eaeaea;\n\t\t  }\n\n\t\t  .label-range-in {\n\t\t\t  margin-left: 0.5em;\n\t\t\t  margin-right: 0.2em;\n\t\t\t  font-size: inherit;\n\t\t\t  font-weight: 600;\n\t\t  }\n\n\t\t  .range-in {\n\t\t\t  max-width: 4em;\n\t\t  }\n\n\n\t\t  #chartdiv {\n\t\t\t  width : 98%;\n\t\t\t  height: 640px;\n\t\t\t  overflow: hidden;\n\t\t\t  text-align: left;\n\t\t\t  resize: vertical;\n\t\t  }\n\n\t\t  #plot-sect {\n\t\t\t  overflow-x: inherit;\n\t\t\t  padding-bottom: 1rem;\n\t\t  }\n\n\t\t  #res_legenddiv {\n\t\t\t  display: inline-block;\n\t\t\t  vertical-align: middle;\n\t\t\t  cursor: pointer;\n\t\t\t  padding: 6px;\n\t\t  }\n\n\t\t  #box-resid-in {\n\t\t\t  position: relative;\n\t\t\t  float: right;\n\t\t\t  margin-right: 2%;\n\t\t\t  padding-right: 0.5rem;\n\t\t\t  background: #efefef;\n\t\t\t  border: 1px solid #ddd;\n\t\t\t  border-radius: 4px;\n\t\t  }\n\n\t\t  .box-cb {\n\t\t\t  display: inline-block;\n\t\t\t  margin-left: .5em;\n\t\t\t  padding-right: .5em;\n\t\t\t  background: #efefef;\n\t\t\t  border: 1px solid #ddd;\n\t\t\t  border-radius: 4px;\n\t\t\t  vertical-align: middle;\n\t\t\t  cursor: pointer;\n\t\t  }\n\n\t\t  .box-cb:hover {\n\t\t\t  background-color: #ddd;\n\t\t  }\n\n\t\t  #controls-div {\n\t\t\t  display: inline-block;\n\t\t\t  margin-top: 0.5em;\n\t\t\t  width: 100%;\n\t\t  }\n\n\t\t  #range-selector-div {\n\t\t\t  display: inline-block;\n\t\t\t  margin-left: 1em;\n\t\t  }\n\n\t\t  section {\n\t\t\t  overflow-x: auto;\n\t\t  }\n\n\t\t  div.row {\n\t\t\t  clear: both;\n\t\t\t  border: 0px;\n\t\t\t  padding: 0px;\n\t\t  }\n\n\t\t  div.section {\n\t\t\t  clear: both;\n\t\t\t  border: 0px;\n\t\t\t  padding: 24px 0px;\n\t\t\t  font-size: 110%;\n\t\t\t  color: var(--gray-dark);\n\t\t  }\n\n\t\t  div.summ-div {\n\t\t\t  border: 0;\n\t\t\t  padding: 0;\n\t\t  }\n\n\t\t  div.trailer {\n\t\t\t  font-size: 0.9rem;\n\t\t\t  text-align: center;\n\t\t\t  padding-left: 1rem;\n\t\t\t  line-height: 1.5rem;\n\t\t\t  background-color: var(--primary);\n\t\t\t  color: var(--secondary);\n\t\t\t  border-left: 1px solid #186680;\n\t\t\t  border-right: 1px solid #186680;\n\t\t  }\n\n\t\t  div.trailer a {\n\t\t\t  text-decoration: none;\n\t\t\t  color: #999;\n\t\t  }\n\n\t\t  div.trailer a:hover {\n\t\t\t  color: #535353;\n\t\t  }\n\n\t\t  caption {\n\t\t\t  display: table-caption;\n\t\t\t  text-align: center;\n\t\t\t  padding-bottom: 20px;\n\t\t\t  padding-top: 10px;\n\t\t  }\n\n\t\t  table, td, th {\n\t\t\t  border: solid 1px #ddd;\n\t\t\t  border-collapse: collapse;\n\t\t\t  padding: 4px 6px;\n\t\t\t  vertical-align: top;\n\t\t\t  white-space: nowrap;\n\t\t  }\n\n\t\t  th {\n\t\t\t  text-align: center;\n\t\t\t  font-weight: bold;\n\t\t\t  background-color: #eaeaea;\n\t\t  }\n\n\t\t  td.highlight_blue {\n\t\t\t  font-weight: bold;\n\t\t\t  color: blue;\n\t\t  }\n\n\t\t  #gmf_info-div {\n\t\t\t  float: right;\n\t\t\t  display: inline-block;\n\t\t\t  vertical-align: middle;\n\t\t\t  margin-left: 1rem;\n\t\t\t  color: #fff;\n\t\t\t  box-sizing: border-box;\n\t\t\t  border: 1px solid #ccc;\n\t\t\t  border-radius: 4px;\n\t\t\t  background-color: var(--primary);\n\t\t\t  padding: 6px;\n\t\t  }\n\n\t\t  #mod_sel-div {\n\t\t\t  font-size: initial;\n\t\t\t  font-weight: bold;\n\t\t\t  margin: 0.2rem 0.5rem;\n\t\t  }\n\n\n\n\t\t  div .visible {\n\t\t\t  z-index: 2;\n\t\t\t  display: block;\n\t\t\t  opacity: 1;\n\t\t\t  height: auto;\n\t\t\t  -webkit-transition: all 0.60s ease-out;\n\t\t\t  -moz-transition: all 0.60s ease-out;\n\t\t\t  transition: all 0.60s ease-out;\n\t\t  }\n\n\t\t  div .hidden {\n\t\t\t  opacity: 0;\n\t\t\t  height: 0;\n\t\t\t  visibility: hidden;\n\t\t\t  overflow: hidden;\n\t\t\t  -webkit-transition: all 0.60s ease-in;\n\t\t\t  -moz-transition: all 0.60s ease-in;\n\t\t\t  transition: all 0.60s ease-in;\n\t\t  }\n\n\t\t  #p_title {\n\t\t\t  color: #666;\n\t\t\t  font-size: 1.2rem;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  #p_selector {\n\t\t\t  margin-right: 0.5em;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  div.interface\n\t\t  {\n\t\t\t  border-top: 1px solid #186680;\n\t\t\t  border-left: 1px solid #186680;\n\t\t\t  border-right: 1px solid #186680;\n\t\t\t  padding: 3px 8px;\n\t\t  }\n\n\t\t  /* Gradient color1 - color2 - color1 */\n\t\t  hr.style-one {\n\t\t\t  border: 0; height: 1px; background: #fff;\n\t\t\t  background-image: linear-gradient(to right, #f00, #0f0, #00f);\n\t\t\t  margin-top: 0;\n\t\t  }\n\n\t\t  /* Gradient transparent - color - transparent */\n\t\t  hr.style-two {\n\t\t\t  border: 0; height: 1px;\n\t\t\t  background-image: linear-gradient(to right, rgba(0, 0, 0, 0), rgba(0, 0, 0, 0.75), rgba(0, 0, 0, 0));\n\t\t  }\n\n\t\t  #fitlog_tables-div {\n\t\t\t  height: auto;\n\t\t\t  border-bottom: 2px solid black;\n\t\t\t  margin-bottom: 1rem;\n\t\t  }\n\n\t\t  #fitlog_sect {\n\t\t\t  font-size: 1.5em;\n\t\t\t  font-weight: 500;\n\t\t  }\n\n\t\t  #fitlog_selector {\n\t\t\t  width: auto;\n\t\t\t  white-space: nowrap;\n\t\t\t  margin-left: 1rem;\n\t\t\t  font-size: 1rem;\n\t\t  }\n\n\t\t  .out_table {\n\t\t\t  border: 0;\n\t\t\t  padding: 1em 0 1em 1em;\n\t\t  }\n\n\t\t  .toggle_table-hdr {\n\t\t\t  border-bottom: 3px solid #ddd;\n\t\t\t  padding: .5em 1em;\n\t\t\t  font-size: 1.1em;\n\t\t\t  font-weight: 600;\n\t\t\t  display: inline-block;\n\t\t  }\n\n\t\t  .toggle_table-hdr:hover {\n\t\t\t  background-color: #eaeaea;\n\t\t\t  cursor: pointer;\n\t\t\t  color: #069;\n\t\t\t  -webkit-transition: all 0.30s ease-in;\n\t\t\t  -moz-transition: all 0.30s ease-in;\n\t\t\t  transition: all 0.30s ease-in;\n\t\t  }\n\n\t\t  .inline {\n\t\t\t  display: inline-block;\n\t\t  }\n\n\t\t  .inline-div {\n\t\t\t  display: inline-block;\n\t\t\t  vertical-align: middle;\n\t\t\t  margin-left: 1rem;\n\t\t  }\n\n\t\t  .div-hide {\n\t\t\t  display: none;\n\t\t\t  visibility: hidden;\n\t\t\t  height: 0;\n\t\t  }\n\n\t\t  .div-show {\n\t\t\t  display: block;\n\t\t\t  visibility: visible;\n\t\t\t  height: auto;\n\t\t  }\n\n\t\t  .div-show-inline {\n\t\t\t  display: inline-block;\n\t\t\t  visibility: visible;\n\t\t\t  height: auto;\n\t\t  }\n\n\t\t  .rep_div-show {\n\t\t\t  display: block;\n\t\t\t  visibility: visible;\n\t\t\t  height: auto;\n\t\t\t  animation: 0.5s linear 0s fadeIn;\n\t\t\t  transition: height 0.5s 0.3s ease-in-out;\n\t\t  }\n\n\t\t  .div-selected {\n\t\t\t  border-bottom: 3px solid var(--primary);\n\t\t\t  background-color: #efefef;\n\t\t  }\n\n\t\t  .n_sigma-div {\n\t\t\t  display: inline-block;\n\t\t\t  vertical-align: middle;\n\t\t  }\n\n\t\t  #fitres-div {\n\t\t\t  padding-top: 0;\n\t\t  }\n\n\t\t  #fitres_table-div {\n\t\t\t  padding-top: 0;\n\t\t  }\n\n\t\t  .al-right {\n\t\t\t  text-align: right;\n\t\t  }\n\n\t\t  .ud-angle-l {\n\t\t\t  margin-left: 2rem;\n\t\t  }\n\n\t\t  .pre_res {\n\t\t\t  font-size: 1rem;\n\t\t  }\n\n\t\t  .pre_res_bf {\n\t\t\t  font-size: 1rem;\n\t\t\t  font-weight: 600;\n\t\t  }\n\n\t\t  /* Icons */\n\t\t  [class^=\"icon-\"],\n\t\t  [class*=\" icon-\"],\n\t\t  [class^=\"logo-\"] {\n\t\t\t  display: inline-block;\n\t\t\t  stroke-width: 0;\n\t\t\t  stroke: currentColor;\n\t\t\t  fill: currentColor;\n\t\t  }\n\n\t\t  .logos {\n\t\t\t  /* TODO */\n\t\t  }\n\n\t\t  /* Add Animation */\n\t\t  @keyframes slidein {\n\t\t\t  from {top: -300px; visibility: hidden;}\n\t\t\t  to {top: 0; visibility: visible;}\n\t\t  }\n\n\t\t  @keyframes 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24 24zm96 136l33-31.1c15.1-15.1 4.4-40.9-17-40.9H312c-13.3 0-24 10.7-24 24v112c0 21.4 25.9 32.1 41 17l31-32.9 99.3 99.3c6.2 6.2 16.4 6.2 22.6 0l25.4-25.4c6.2-6.2 6.2-16.4 0-22.6L408 360zM183 71.1L152 104 52.7 4.7c-6.2-6.2-16.4-6.2-22.6 0L4.7 30.1c-6.2 6.2-6.2 16.4 0 22.6L104 152l-33 31.1C55.9 198.2 66.6 224 88 224h112c13.3 0 24-10.7 24-24V88c0-21.3-25.9-32-41-16.9z\"></path>\n\t\t</symbol>\n\t  </defs>\n\t</svg>\n\n\t<!-- Empty header (TODO) -->\n\t<div id=\"hdrdiv\" class=\"hdrdiv2\">\n\t</div>\n\n\n\t<!-- Main div area with plot and tables -->\n\t<div class=\"interface\">\n\n\t  <section id=\"datainfo-sect\" style=\"margin-top: 0.5em;\">\n\n\t\t<div id=\"p_title\" class=\"inline\">GModelFitViewer info here...</div>\n\t\t<div id=\"mod_sel-div\" class=\"div-hide\">\n\t\t  <select id=\"p_selector\" onchange=\"p_select()\" class=\"dd-select\" title=\"Select model\"></select>\n\n\t\t  <!-- Add Prev / Next buttons -->\n\t\t  <button id=\"prev_model\" class=\"submit_grey\" type=\"submit\" onclick=\"p_select('prev')\"> &lt; Prev </button>\n\t\t  <button id=\"next_model\" class=\"submit_grey\" type=\"submit\" onclick=\"p_select('next')\"> Next &gt; </button>\n\t\t</div>\n\n\t\t<!-- The tools info -->\n\t\t<div id=\"gmf_info-div\">\n\t\t  <div class=\"inline\"><a style=\"color: #fff; font-weight: bold;\" href=\"https://github.com/lnicastro/GModelFitViewer.jl\" target=\"_new\">GModelFitViewer</a>\n\t\t\t<div id=\"version-div\" class=\"inline\" style=\"color: #fff;\">Version x.y.z</div>\n\t\t  </div>\n\n\t\t  <!-- This is TODO -->\n\t\t  <div class=\"app-info-div\"> <div id=\"app_info\">e.g. App name</div> </div>\n\t\t</div>\n\n\t  </section>  <!-- datainfo-sect -->\n\n\n\t  <section id=\"plot-sect\">\n\n\t\t<!-- amCharts div -->\n\t\t<div id=\"chartdiv\"></div>\n\n\t\t<!-- Plot styel and range controls -->\n\t\t<div id=\"controls-div\">\n\t\t  <!--\n\t\t\t  <span class=\"box-cb\" title=\"Toggle Y errors plot\">\n\t\t\t\t<input type=\"checkbox\" id=\"y_err-cb\" onclick=\"y_err_toggle()\" /><label for=\"y_err-cb\">Y err</label>\n\t\t\t  </span>\n\t\t\t  -->\n\t\t\t  <button class=\"box-cb\" style=\"padding: 4px 4px 0 4px; color: var(--gray-dark); background: transparent;\" title=\"Enter/exit Fullscreen Mode\" onclick=\"toggleFullScreen('hdrdiv')\">\n\t\t\t\t<svg class=\"icon-expand\" width=\"16\" height=\"16\"><use id=\"fullscreen-i\" href=\"#expand\"></use></svg>\n\t\t\t  </button>\n\t\t\t  <span class=\"box-cb\" title=\"Toggle X lin/log scale\">\n\t\t\t\t<input type=\"checkbox\" id=\"x_log-cb\" onclick=\"x_linlog_toggle()\" /><label for=\"x_log-cb\" id=\"x_log-lab\">X log</label>\n\t\t\t  </span>\n\n\t\t\t  <span class=\"box-cb\" title=\"Toggle Y lin/log scale\">\n\t\t\t\t<input type=\"checkbox\" id=\"y_log-cb\" onclick=\"y_linlog_toggle()\" /><label for=\"y_log-cb\" id=\"y_log-lab\">Y log</label>\n\t\t\t  </span>\n\n\t\t\t  <div id=\"range-selector-div\">\n\t\t\t\t<span class=\"label-range-in\">X range</span>\n\t\t\t\t<input name=\"xmin\" type=\"text\" title=\"X min\" class=\"range-in\" value=\"\" onchange=\"inx_range_set()\" />\n\t\t\t\t<input name=\"xmax\" type=\"text\" title=\"X max\" class=\"range-in\" value=\"\" onchange=\"inx_range_set()\" />\n\t\t\t\t<span class=\"label-range-in\" style=\"margin-left: 1em;\">Y range</span>\n\t\t\t\t<input name=\"ymin\" type=\"text\" title=\"Y min\" class=\"range-in\" value=\"\" onchange=\"iny_range_set()\" />\n\t\t\t\t<input name=\"ymax\" type=\"text\" title=\"Y max\" class=\"range-in\" value=\"\" onchange=\"iny_range_set()\" />\n\n\t\t\t\t<button class=\"transp_button\" style=\"padding: 4px 0 0 0; color: var(--success);\" title=\"Replot with these ranges\" onclick=\"inx_range_set();iny_range_set()\">\n\t\t\t\t  <svg class=\"icon-check-circle\" width=\"18\" height=\"18\"><use href=\"#check-circle\"></use></svg>\n\t\t\t\t</button>\n\t\t\t\t<button class=\"transp_button\" style=\"padding: 4px 0 0 0; color: var(--danger);\" title=\"Clear range input values\" onclick=\"xy_range_reset()\">\n\t\t\t\t  <svg class=\"icon-times\" width=\"12\" height=\"18\"><use href=\"#times\"></use></svg>\n\t\t\t\t</button>\n\t\t\t  </div>\n\n\t\t\t  <!-- Residuals plot toggle and sigma range selction -->\n\t\t\t  <div id=\"box-resid-in\">\n\t\t\t\t<div id=\"res_legenddiv\" title=\"Show/hide residuals\">\n\t\t\t\t  <input type=\"checkbox\" id=\"resid-cb\" /><label for=\"resid-cb\">Residuals</label>\n\t\t\t\t</div>\n\n\t\t\t\t<div class=\"n_sigma-div\" title=\"Set the highlighted resid. range\">&pm;\n\t\t\t\t  <input type=\"number\" style=\"width: 2.5rem;\" min=\"1.0\" max=\"30.0\" step=\"0.1\" name=\"n_sigma\" id=\"n_sigma\" value=\"3.0\" onchange=\"n_sigma_update(this)\" /> &sigma;\n\t\t\t\t</div>\n\t\t\t  </div>\n\n\t\t</div>  <!-- controls-div -->\n\t  </section>  <!-- plot-sect -->\n\n\n\t  <hr class=\"style-one\"></hr>\n\n\n\t  <!-- Fit data info and results section -->\n\t  <section>\n\n\t\t<div id=\"fitres-div\" class=\"out_table\"></div>\n\n\t\t<!-- 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_version);\ndocument.querySelector('meta[name=\"date\"]').setAttribute(\"content\", _date);\ndocument.getElementById('version-div').innerHTML = 'v'+ _version;\n\n// Initialize metadata and local variables\nvar   n_sigma = 3,\t\t// Highlight residuals region within this +/- sigma\n\ty_errplot = false,\t// Y errors plot\n\ty_err_shade = false,\t// Y errors shaded area\n\tcur_track = true,\t// Track cursor and display X, Y values. Always true.\n\tresid_plot = false,\t// True if plotting residuals\n\tam_anim = false,\t// Animation theme ?\n\tx_range = {min: null, max: null, logscale: false},  // X axis range\n\ty_range = {min: null, max: null, logscale: false},  // Y axis range\n\tmy_chartdata,\t// JSON reformatted data for amchart\n\troot,\t\t// The amchart drawing root\n\tchart,\t\t// The amchart object\n\tsdata,\t\t// The data series to plot (with errors)\n\tresid,\t\t// The residuals chart series\n\tcsr2,\t\t// The sum of squared residuals chart series\n\taux = {},\t// The metadata information read from the JSON file and more\n\ti_chmodel = -1, // Index of the Model data in the chart.series\n\tvxAxis,\t\t// The X axis object\n\tvalueAxis,\t// The Y axis object\n\tresyAxis,\t// The residuals right axis object\n\tcsr2yAxis,\t// The cumulative sum of squared residuals axis object\n\tsbseries,\t// The X axis scrollbar series\n\tlegend,\t\t// The main legend\n\trange0,\t\t// Used to draw the residuals 0 level\n\tresrange,\t// Used to highlight +/- N sigma residuals\n\trange0DataItem,\n\tresrangeDataItem,\n\n\tp_title = document.getElementById('p_title'),\n\tinxy_ranges = document.getElementById('range-selector-div').getElementsByTagName('input');\n\n\n// A set of 19 colors + white + black\n// grey, blue and darkblue removed and used by def. for the data, main reducer and residuals array\nvar mycolors = [\n    {'name':'Red', 'hex':'#e6194b', 'rgb':'(230, 25, 75)', 'rgba':'(230, 25, 75, 0.5)'},\n    {'name':'Green', 'hex':'#3cb44b', 'rgb':'(60, 180, 75)', 'rgba':'(60, 180, 75, 0.5)'},\n    {'name':'Purple', 'hex':'#911eb4', 'rgb':'(145, 30, 180)', 'rgba':'(145, 30, 180, 0.5)'},\n    {'name':'Orange', 'hex':'#f0ad4e', 'rgb':'(240, 173, 78)', 'rgba':'(240, 143, 78, 0.5)'},\n    {'name':'Magenta', 'hex':'#f032e6', 'rgb':'(240, 50, 230)', 'rgba':'(240, 50, 230, 0.5)'},\n    {'name':'Teal', 'hex':'#008080', 'rgb':'(0, 128, 128)', 'rgba':'(0, 128, 128, 0.5)'},\n    {'name':'Orange2', 'hex':'#ff7518', 'rgb':'(255, 117, 24)', 'rgba':'(255, 117, 24, 0.5)'},\n    {'name':'Lavender', 'hex':'#e6beff', 'rgb':'(230, 190, 255)', 'rgba':'(230, 190, 255, 0.5)'},\n    {'name':'Brown', 'hex':'#aa6e28', 'rgb':'(170, 110, 40)', 'rgba':'(170, 110, 40, 0.5)'},\n    {'name':'Maroon', 'hex':'#800000', 'rgb':'(128, 0, 0)', 'rgba':'(128, 0, 0, 0.5)'},\n    {'name':'Olive', 'hex':'#808000', 'rgb':'(128, 128, 0)', 'rgba':'(128, 128, 0, 0.5)'},\n    {'name':'Coral', 'hex':'#ffd8b1', 'rgb':'(255, 215, 180)', 'rgba':'(255, 215, 180, 0.5)'},\n    {'name':'Navy', 'hex':'#000080', 'rgb':'(0, 0, 128)', 'rgba':'(0, 0, 128, 0.5)'},\n\n    {'name':'Pink2', 'hex':'#F0AAAA', 'rgb':'(240, 170, 170)', 'rgba':'(240, 170, 170, 0.5)'},\n    {'name':'Mint2', 'hex':'#96E6B4', 'rgb':'(150, 230, 180)', 'rgba':'(150, 230, 180, 0.5)'},\n    {'name':'Yellow', 'hex':'#FFD700', 'rgb':'(255, 215, 0)', 'rgba':'(255, 215, 0, 0.5)'},\n    {'name':'Cyan2', 'hex':'#60C8E8', 'rgb':'(96, 200, 232)', 'rgba':'(96, 200, 232, 0.5)'},\n    {'name':'Beige2', 'hex':'#E6D7B4', 'rgb':'(230, 215, 180)', 'rgba':'(230, 215, 180, 0.5)'},\n    {'name':'Lime2', 'hex':'#C3E61E', 'rgb':'(195, 230, 30)', 'rgba':'(195, 230, 30, 0.5)'},\n\n    {'name':'White', 'hex':'#FFFFFF', 'rgb':'(255, 255, 255)', 'rgba':'(255, 255, 255, 0.5)'},\n    {'name':'Black', 'hex':'#000000', 'rgb':'(0, 0, 0)', 'rgba':'(0, 0, 0, 0.5)'}\n], n_myc = 19,\n\n\t// Data color\n\tdcolor = {'name':'Grey', 'hex':'#808080', 'rgb':'(128,128,128)', 'rgba':'(128,128,128, 0.5)'},\n\n\t// Main reducer color\n\tmcolor = {'name':'Blue', 'hex':'#0082c8', 'rgb':'(0, 130, 200)', 'rgba':'(0, 130, 200, 0.5)'},\n\n\t// Residuals color\n\trcolor = {'name':'Darkblue', 'hex':'#386cb0', 'rgb':'(56,108,176)', 'rgba':'(56,108,176, 0.5)'};\n\n\n// Manage URL passed parameters\nvar c_imod = 0;\t\t // Currently plotted model index\n\nif ( window.location.search !== '' ) {\n    const urlParams = new URLSearchParams(window.location.search);\n\n\t// Check if using amCharts animation theme (default false)\n\tif ( urlParams.has('animation') )\n\t\tam_anim = true;\n\n\t// Check for the initial model to show (default 0)\n\tif ( urlParams.has('model') )\n\t\tc_imod = urlParams.get('model') - 1;\n\n}\n\n\n// -- Detect exit fullscreen mode and show header\n\nif ( document.addEventListener ) {\n\tdocument.addEventListener('fullscreenchange', exitFSHandler, false);\n\tdocument.addEventListener('mozfullscreenchange', exitFSHandler, false);\n\tdocument.addEventListener('MSFullscreenChange', exitFSHandler, false);\n\tdocument.addEventListener('webkitfullscreenchange', exitFSHandler, false);\n}\n\nfunction exitFSHandler() {\n\tif ( !document.webkitIsFullScreen && !document.mozFullScreen && !document.msFullscreenElement )\n\t\tdocument.getElementById('hdrdiv').classList.remove('div-hide');\n\tdocument.getElementById('fullscreen-i').setAttribute('href', '#expand');\n}\n\n\n// -- Perform a cumulative sum/sum^2 of an array\n\nconst cumulativeSum = (a) => {\n\treturn a.map((sum => value => sum += value)(0));\n}\n\nconst cumulativeSum2 = (a) => {\n\treturn a.map((sum => value => sum += value*value)(0));\n}\n\n\n// -- Format numbers > 1000 adding the \",\" separator\n\nconst numberWithCommas = (x) => {\n\treturn x.toString().replace(/\\B(?=(\\d{3})+(?!\\d))/g, \",\");\n}\n\n\n// -- Remove any ANSI code from string\n\nconst stripansi = (s) => {\n\treturn s.replace(/[\\u001b\\u009b][[()#;?]*(?:[0-9]{1,4}(?:;[0-9]{0,4})*)?[0-9A-ORZcf-nqry=><]/g,'');\n}\n\n\n// -- Compute the number of fractional \"significant\" digits in sequential values from the given (~constant) step\n\nconst nfSignificant = (x) => {\n\treturn Math.max((Math.abs(x) % 1).toPrecision(1).length - 2, 0);\n}\n\n\n// -- Format the parameters range at a given digits precision\n\nconst pRange = (low, high, np) => {\n\tif ( low === null && high === null )\n\t\treturn '';\n\n\tif ( np === undefined )\n\t\tnp = 4;\n\n\tif ( low === undefined || typeof low !== 'number' )\n\t\tv = '-Inf';\n\telse {\n\t\tv = low;\n\t\tif ( ! Number.isInteger(v) )\n\t\t\tv = +v.toPrecision(np);  // To number to remove trailing 0s\n\t}\n\tif ( high === undefined || typeof high !== 'number' )\n\t\tv += ':Inf';\n\telse {\n\t\tvar v2 = high;\n\t\tif ( ! Number.isInteger(v2) )\n\t\t\tv2 = +v2.toPrecision(np);\n\t\tv += ':'+ v2;\n\t}\n\treturn v;\n}\n\n\n// -- Hidden object?\n\nfunction isHidden(e) {\n\treturn (e.offsetParent === null)\n}\n\n\n\n//\n// -- Toggle full-screen mode. Also toggle visibility of a user given div.\n\nfunction toggleFullScreen(id_div) {\n\tvar element = document.documentElement,\n\t    fs_i = document.getElementById('fullscreen-i'),\n\t    isFullscreen = document.webkitIsFullScreen || document.mozFullScreen || false;\n\n\telement.requestFullScreen = element.requestFullScreen || element.webkitRequestFullScreen || element.mozRequestFullScreen || function () { return false; };\n\tdocument.cancelFullScreen = document.cancelFullScreen || document.webkitCancelFullScreen || document.mozCancelFullScreen || function () { return false; };\n\n\tif ( isFullscreen ) {\n\t\tfs_i.setAttribute('href', '#expand');\n\t\tdocument.cancelFullScreen();\n\t} else {\n\t\tfs_i.setAttribute('href', '#shrink');\n\t\telement.requestFullScreen();\n\t}\n\n\tif ( id_div !== undefined )  // Toggle the given div\n\t\tdocument.getElementById(id_div).classList.toggle('div-hide');\n}\n\n//\n// Functions to read from chart_data\n\nfunction getMainComp(chart_data, epoch) {\n\treturn chart_data['+'].models[epoch]['+'].maincomp[''];\n}\n\nfunction getModels(chart_data, epoch) {\n\treturn chart_data['+'].models[epoch]['+'];\n}\n\nfunction getUnfoldedDomainAxis(chart_data, epoch) {\n\treturn chart_data['+']['models'][epoch]['+']['domain']['+'].axes[''][0];\n}\n\nfunction getFoldedDomainAxis(chart_data, epoch) {\n\treturn chart_data['+']['models'][epoch]['+']['folded_domain']['+'].axes[''][0];\n}\n\nfunction getDataDomainAxis(chart_data, epoch) {\n\treturn chart_data['+'].data[epoch]['+']['domain']['+'].axes[''][0];\n}\n\nfunction getComps(chart_data, epoch) {\n\tout = chart_data['+'].models[epoch]['+'].comps['+'];\n\tfor (const [key, value] of Object.entries(out)) {\n\t\tout[key] = value[\"+\"].buffer;\n\t}\n//\tconsole.log(out);\nreturn out;\n}\n\nfunction getData(chart_data, epoch) {\n\treturn chart_data['+'].data[epoch]['+'];\n}\n\nfunction getNEpochs(chart_data) {\n\treturn chart_data['+'].nepochs;\n}\n\nfunction getMeta(chart_data, epoch) {\n\treturn chart_data['+']['models'][epoch]['+'].meta['+'];\n}\n\nfunction getNData(chart_data) {\n\treturn chart_data['+'].fitsummary['+'].ndata;\n}\n\nfunction getNFree(chart_data) {\n\treturn chart_data['+'].fitsummary['+'].nfree;\n}\n\n\n//\n// -- Extract and manage the metadata info\n\nfunction getauxinfo() {  // TODO\n\n\tdocument.getElementById('app_info').innerHTML = '';\n\n\t// Multiple models for the same \"object\" are allowed\n\n\taux.NEpochs = getNEpochs(chart_data);\n\taux.is_multimodel = (aux.NEpochs > 1);\n\taux.maincomp = [];  // The name of the main component buffer\n\n\tvar cnames = [], desc, cdata, mea, x_lab, y_lab, n_xmea, x_step;\n\n\tif (chart_data.length == 0) {\n\t\talert('No data found.')\n\t\treturn;\n\t}\n\taux.meta = getMeta(chart_data, 0);  // TODO: why epoch 0?\n\taux.ndata_fit = getNData(chart_data);\n\taux.nfree_fit = getNFree(chart_data);\n\n\taux.modinfo = [];\n\taux.modinfo.length = 0;\n\taux.datinfo = [];\n\taux.datinfo.length = 0;\n\n\t// Add loop also for the measures (TODO)\n\tfor (var i = 0; i < aux.NEpochs; i++) {\n\t\tvar n_reb = 1,\n\t\t\ty_min = 1e32,\n\t\t\ty_max = -1e32,\n\t\t\tx_scale = 1,\n\t\t\ty_scale = 1,\n\t\t\tx_rng = null,\n\t\t\ty_rng = null,\n\t\t\tx_lg = false,\n\t\t\ty_lg = false,\n\t\t\tx_lab = 'X label',\n\t\t\ty_lab = 'Y label',\n\t\t\ttitle = 'GModelFitViewer',\n\t\t\tdesc = '<span style=\"color: #69c; font-weight: bold;\">',\n\t\t\tv_labs = ['values', 'uncerts'];\n\n\t\t\tcdata = getModels(chart_data, i);\n\t\t\tif ( chart_data['+'].data[i] !== undefined )\n\t\t\t\tmea = getData(chart_data, i);\n\n\t\tcnames = Object.keys(cdata.comps['+']);\n\t\taux.maincomp.push(cdata.maincomp[''].substring(4));  // maincomp ~= _TS_main\n\n\t\t// Labels in Measures\n\t\tif ( mea.values !== undefined ) {\n\t\t\tv_labs = ['values', 'uncerts'];\n\t\t}\n\n\t\tif ( cdata.meta !== undefined ) {\n\t\t\tvar meta = getMeta(chart_data, i);\n\t\t\tif ( meta.rebin )\n\t\t\t\tn_reb = meta.rebin;\n\t\t\tif ( meta.xrange )\n\t\t\t\tx_rng = meta.xrange;\n\t\t\tif ( meta.yrange )\n\t\t\t\ty_rng = meta.yrange;\n\t\t\tif ( meta.xlog )\n\t\t\t\tx_lg = meta.xlog;\n\t\t\tif ( meta.ylog )\n\t\t\t\ty_lg = meta.ylog;\n\t\t\tif ( meta.xlabel ) {\n\t\t\t\tx_lab = meta.xlabel;\n\t\t\t\tif ( x_lab ) {\n\t\t\t\t\tif ( meta.xscale !== null && meta.xscale !== 1 ) {\n\t\t\t\t\t\tvar un = meta.xscale.toString().replace(/\\+/,'');\n\t\t\t\t\t\tx_lab += ' [[x '+ un +']]';\n\t\t\t\t\t}\n\t\t\t\t\tif ( meta.xunit )\n\t\t\t\t\t\tx_lab += ' ('+ meta.xunit +')';\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif ( meta.ylabel ) {\n\t\t\t\ty_lab = meta.ylabel;\n\t\t\t\tif (  y_lab ) {\n\t\t\t\t\tif ( meta.yscale !== null && meta.yscale !== 1 ) {\n\t\t\t\t\t\tvar un = meta.yscale.toString().replace(/\\+/,'');\n\t\t\t\t\t\ty_lab += ' [[x '+ un +']]';\n\t\t\t\t\t}\n\t\t\t\t\tif ( meta.yunit )\n\t\t\t\t\t\ty_lab += ' ('+ meta.yunit +')';\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif ( meta !== undefined && meta.title ) {\n\t\t\t\ttitle = meta.title;\n\t\t\t\tdesc += meta.title;\n\t\t\t} else\n\t\t\t\tdesc += 'Model '+ i;\n\n\t\t}\n\n\t\tdesc += '</span>';\n\n\n\t\t// Range check on data and model components?\n\t\tif ( y_rng ) {\n\t\t\ty_min = y_rng[0];\n\t\t\ty_max = y_rng[1];\n\t\t} else {  // Y range is model dependent ...\n\t\t\ty_min = Math.min(y_min, Math.min(...mea.values));\n\t\t\ty_max = Math.max(y_max, Math.max(...mea.values));\n\t\t\tfor (var j = 0; j < cnames.length; j++) {\n\t\t\t\ty_min = Math.min(y_min, Math.min(...(cdata.comps['+'][cnames[j]]['+'].buffer)));\n\t\t\t\ty_max = Math.max(y_max, Math.max(...(cdata.comps['+'][cnames[j]]['+'].buffer)));\n\t\t\t\tconsole.log('Model #, comp. #, y_min, y_max:', i, j, y_min, y_max);\n\t\t\t}\n\t\t\tvar e_max = 3*Math.min(...mea.uncerts);  // TODO\n\t\t\tconsole.log('Error max:', e_max);\n\t\t\ty_min -= e_max;\n\t\t\ty_max += e_max;\n\t\t}\n\n\t\t// Scale Y axis for values < 0.01 or > 100\n\t\tvar log10scale2 = Math.floor(Math.log10(y_max));\n\n\t\tif ( log10scale2 < -2 || log10scale2 > 2 )\n\t\t\ty_scale = Math.pow(10, log10scale2);\n\t\telse\n\t\t\tlog10scale2 = 0;\n\n\t\t//console.log('log10scale2, y_scale', log10scale2, y_scale);\n\n\t\tvar datadomain = getDataDomainAxis(chart_data, i);\n\t\tn_xmea = datadomain.length;\n\t\tvar moddomain = getFoldedDomainAxis(chart_data, i);\n\t\tvar n_xcomp = moddomain.length;\n\t\tconsole.log('n_xmea, n_xcomp', n_xmea, n_xcomp);\n\n\t\t//x_step = Math.abs(cdata.domain['+'].axis[''][0][1] - cdata.domain['+'].axis[''][0][0]);\n\t\tx_step = Math.abs(moddomain[1] - moddomain[0]);\n\t\tconsole.log('n_xmea, x_min, x_max:', n_xmea, datadomain[0], datadomain[n_xmea - 1]);\n\t\taux.modinfo.push({\n\t\t\ttitle: title,\n\t\t\tp_title: desc,\n\t\t\tx_label: x_lab,\n\t\t\ty_label: y_lab,\n\t\t\tv_labels: v_labs,\n\t\t\tnx_mea: n_xmea,\n\t\t\tnx_comp: n_xcomp,\n\t\t\tx_min: +(datadomain[0]).toPrecision(4),\n\t\t\tx_max: +(datadomain[n_xmea - 1]).toPrecision(4),\n\t\t\tx_step: x_step,\n\t\t\tx_scale: x_scale,\n\t\t\ty_scale: y_scale,\n\t\t\tx_range: x_rng,\n\t\t\ty_range: y_rng,\n\t\t\tx_log: x_lg,\n\t\t\ty_log: y_lg,\n\t\t\t//y_min: (y_min - y_rng*0.05) / y_scale,\n\t\t\t//y_max: (y_max + y_rng*0.05) / y_scale,\n\t\t\ty_min: +(y_min / y_scale).toPrecision(4),\n\t\t\ty_max: +(y_max / y_scale).toPrecision(4),\n\t\t\tnf_sig: nfSignificant(x_step),\n\t\t\tcomponents: cnames,\n\t\t\tn_comps: cnames.length\n\t\t});\n\t\t// Equidistance check (TODO)\n\t\taux.modinfo[i].x_equi = Math.abs((aux.modinfo[i].x_max - aux.modinfo[i].x_min)/(n_xmea-1) - x_step) < 0.001;\n\t}  // end for i\n\n\n\t// The model selector\n\tvar  ss = document.getElementById('p_selector'),\n\t\td = document.getElementById('mod_sel-div');\n\tss.innerHTML = '';\n\n\t// Create only if more than one model\n\tif ( aux.NEpochs < 2 )\n\t\td.setAttribute('class', 'div-hide');\n\telse {\n\t\td.setAttribute('class', 'div-show-inline');\n\n\t\t// Append model select list\n\t\tfor (var i = 0; i < aux.NEpochs; i++) {\n\t\t\tvar lab, option = document.createElement('option');\n\t\t\toption.value = i;\n\n\t\t\tcdata = getModels(chart_data, i);\n\t\t\tif ( cdata.meta !== undefined && cdata.meta['+'].title !== undefined )\n\t\t\t\tlab = cdata.meta['+'].title\n\t\t\telse\n\t\t\t\tlab = \"Model \"+ i;\n\t\t\toption.text = (i+1).toString() +': '+ lab;\n\t\t\tss.appendChild(option);\n\t\t}\n\n\t\tif ( c_imod == 0 )\n\t\t\tdocument.getElementById('prev_model').classList.add('div-hide');\n\t\telse if ( c_imod == aux.NEpochs - 1 )\n\t\t\tdocument.getElementById('next_model').classList.add('div-hide');\n\t}\n\n\tfor (var i = 0; i < aux.NEpochs; i++) {\n\t\taux.datinfo.push({\n\t\t\tresid_visible: false,\n\t\t\tresid_color: rcolor.hex\n\t\t});\n\t}\n\n}  // end getauxinfo\n\n\n//\n// -- From custom \"model/measure\" structures to default amchart data structure\n\nvar mydata2chart = function(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\t//console.log('mydata2chart isel:', isel);\n\tvar cdata, mea;\n\tcdata = getModels(chart_data, isel);\n\tif ( chart_data['+'].data[isel] !== undefined )\n\t\t//mea = chart_data['+'].data[isel]['+'];\n\t\tmea = getData(chart_data, isel);\n\n\t// Change web page and plot labels\n\tdocument.title = cdata.meta['+'].title;\n\tp_title.innerHTML = aux.modinfo[isel].p_title;\n\n\tvar x = getDataDomainAxis(chart_data, isel),\n\t\tcnames = aux.modinfo[isel].components,\n\t\tfscale = Math.pow(10, aux.modinfo[isel].nf_sig),\n\t\tmydata = {dat: [], res: [], comp: []}, data, res, comps;\n\n\n\t// X values rounded to the N sig. factional digits\n\tvar cs2 = 0;\n\tif ( aux.NEpochs > 0 ) {\n\t\tfor (var i = 0; i < aux.modinfo[isel].nx_mea; i++) {  // folded domain\n\t\t\tdata = {};\n\t\t\tdata['xc'] = x[i];\n\t\t\tdata['y'] = mea.values[i] / aux.modinfo[isel].y_scale;\n\t\t\tdata['error'] = mea.uncerts[i] / aux.modinfo[isel].y_scale;\n\t\t\tdata['model'] = cdata.folded[i] / aux.modinfo[isel].y_scale;\n\t\t\tmydata.dat.push(data);\n\n\t\t\tres = {};\n\t\t\tres['x'] = data['xc'];\n\t\t\tres['resid'] = (mea.values[i] - cdata.folded[i]) / mea.uncerts[i];\n\t\t\t// Normalised cumulative sum of squared residuals\n\t\t\tcs2 += res['resid']*res['resid'];\n\t\t\tres['csr2'] = cs2 / (aux.ndata_fit  - aux.nfree_fit);\n\t\t\tmydata.res.push(res);\n\n\t\t\t//vals['err_lo'] = (mea.values[''][0][i] - mea.values[''][1][i]) / aux.modinfo[isel].y_scale;\n\t\t\t//vals['err_up'] = (mea.values[''][0][i] + mea.values[''][1][i]) / aux.modinfo[isel].y_scale;\n\t\t}\n\t}\n\n\tx = getUnfoldedDomainAxis(chart_data, isel);\n\tfor (var i = 0; i < x.length; i++) {\n\t\tcomps = {};\n\t\tcomps['comp_x'] = x[i];\n\n\t\tfor (var j = 0; j < aux.modinfo[isel].n_comps; j++)  // Components\n\t\t\tcomps[cnames[j]] = cdata.comps['+'][cnames[j]]['+'].buffer[i] / aux.modinfo[isel].y_scale;\n\n\t\tmydata.comp.push(comps);\n\t}\n\n\treturn mydata;\n\n}  // end mydata2chart\n\n\n//\n// -- Create series for the the main reducer of a model.\n\nfunction createMainReducer(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\tvar p = getModels(chart_data, isel);\n\n\tvar series = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tname: 'Model',\n\t\t\txAxis: vxAxis,\n\t\t\tyAxis: valueAxis,\n\t\t\tvalueXField: \"xc\",\n\t\t\tvalueYField: \"model\",\n\t\t\tstroke: mcolor.hex,\n\t\t\tfill: mcolor.hex\n\t\t})\n\t);\n\tseries.strokes.template.setAll({\n\t\tstrokeWidth: 2\n\t});\n\n\ti_chmodel = chart.series.length - 1;\n\tconsole.log('i_chmodel', i_chmodel);\n\n\t//series.legendLabelText = 'Model [#fff]______[/]';\n\tseries.legendLabelText = 'Model';\n\tseries.data.setAll(my_chartdata.dat);\n\n\t// No data, just the model: use series also for the X axis scrolling\n\tif ( aux.NEpochs == 0 ) {\n\t\tdocument.getElementById('box-resid-in').style.visibility = 'hidden';\n\t\tchart.scrollbarX.series.push(series);\n\t\t  }\n}\n\n\n//\n// -- Create axis range for the residuals\n\n// The +/- N sigma shaded region with the (dashed) 0 level\n\nfunction createResidRange(resid) {\n\n\t// 0 level dashed line\n\trange0DataItem = resyAxis.makeDataItem({\n\t\tvalue: 0,\n\t\tendValue: undefined\n\t});\n\trange0 = resyAxis.createAxisRange(range0DataItem);\n\trange0.get(\"grid\").setAll({\n\t\tstroke: am5.color(\"#396478\"),\n\t\tstrokeOpacity: 0.5,\n\t\tstrokeWidth: 2\n\t});\n\n\n\t// +/- N sigma shaded area with invisible strokes\n\tresrangeDataItem = resyAxis.makeDataItem({\n\t\tvalue: -n_sigma,\n\t\tendValue: n_sigma\n\t});\n\t/* Could also highlight the residuals data line within the range\n\t   resrange = resid.createAxisRange(resrangeDataItem);\n\t   resrange.strokes.template.setAll({\n\t   stroke: am5.color(\"#ff6478\"),\n\t   strokeWidth: 3\n\t   });\n\t   resrangeDataItem.get(\"axisFill\").setAll({\n\t*/\n\tresrange = resyAxis.createAxisRange(resrangeDataItem);\n\tresrange.get(\"axisFill\").setAll({\n\t\tfill: am5.color(\"#666\"),\n\t\tfillOpacity: 0.1,\n\t\tvisible: true\n\t});\n\n}  // end createResidRange\n\n\n//\n// -- Create the residuals series\n\nfunction createResiduals(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\tif ( resid ) resid.dispose();\n\n\tresid = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tvalueXField: 'x',\n\t\t\tvalueYField: 'resid',\n\t\t\tname: 'Residuals',\n\t\t\tlegendLabelText: 'Resid.',\n\t\t\txAxis: vxAxis,\n\t\t\tyAxis: resyAxis,\n\t\t\tfill: aux.datinfo[isel].resid_color,\n\t\t\tstroke: aux.datinfo[isel].resid_color,\n\t\t\thiddenInLegend : true  // Not in the main legend\n\t\t})\n\t);\n\tresid.data.setAll(my_chartdata.res);\n\n\t// -- Ceate the sum of squared residuals series\n\n\tif ( csr2 ) csr2.dispose();\n\n\tcsr2 = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tvalueXField: 'x',\n\t\t\tvalueYField: 'csr2',\n\t\t\tname: 'CumulativeChi2',\n\t\t\txAxis : vxAxis,\n\t\t\tyAxis: csr2yAxis,\n\t\t\thiddenInLegend: true,  // Not in the main legend\n\t\t\tstroke: am5.color(\"#990000\")\n\t\t})\n\t);\n\tcsr2.strokes.template.setAll({\n\t\tstrokeWidth: 2\n\t});\n\tcsr2.data.setAll(my_chartdata.res);\n\n}  // end createResiduals\n\n\n//\n// -- Update residuals Nsigma shaded range and axis zoom\n\nfunction n_sigma_update(e) {\n\tif ( ! resyAxis.isVisible() )\n\t\treturn;\n\n\tn_sigma = +e.value;\n\tresrangeDataItem.set('value', -n_sigma);\n\tresrangeDataItem.set('endValue', n_sigma);\n\tresyAxis.minDefined = -n_sigma - 1;\n\tresyAxis.maxDefined = n_sigma + 1;\n\n\t// Also zoom the axis range\n\tsetTimeout(function() {\n\t\tresyAxis.zoomToValues(-n_sigma - 1, n_sigma + 1);\n\t}, 100);\n\n}  // end n_sigma_update\n\n\n//\n// -- Create the data series\n\nfunction createDataSeries(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\t// No data, just the model\n\tif ( aux.NEpochs == 0 ) {\n\t\tresplot_dispose();\n\t\tcreateMainReducer(isel);\n\t\treturn;\n\t}\n\n\tif ( sdata ) sdata.dispose();\n\n\tsdata = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tname: 'data',\n\t\t\tlegendLabelText: 'Data',\n\t\t\txAxis: vxAxis,\n\t\t\tyAxis: valueAxis,\n\t\t\tvalueXField: \"xc\",\n\t\t\tvalueYField: \"y\",\n\t\t\tstroke: dcolor.hex,\n\t\t\tfill: dcolor.hex,\n\t\t\t//tooltip: am5.Tooltip.new(root, {  // Data value tooltip?\n\t\t\t//labelText: \"{valueY}\"\n\t\t\t//})\n\t\t})\n\t);\n\tsdata.strokes.template.setAll({\n\t\tstrokeWidth: 2\n\t});\n\n\t/*\n\t  sdata.bullets.push(function() {\n      return am5.Bullet.new(root, {\n\t  sprite: am5.Circle.new(root, {\n\t  radius: 3,\n\t  //fill: sdata.get(\"fill\"),\n\t  fill: null,\n\t  stroke: dcolor.hex,\n\t  strokeWidth: 1,\n\t  opacity: 1\n\t  })\n      });\n\t  });\n\t*/\n\tsdata.data.setAll(my_chartdata.dat);\n\n\n\t// -- The uncertainties error bars\n\n\tvar series = chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\tvalueXField: 'xc',\n\t\t\tvalueYField: 'y',\n\t\t\tname: 'uncert',\n\t\t\tlegendLabelText: 'Uncert.',\n\t\t\txAxis: vxAxis,\n\t\t\tyAxis: valueAxis,\n\t\t\tstroke: null,\n\t\t\tfill: dcolor.hex,\n\t\t\tvisible: false  // Hidden by default\n\t\t})\n\t);\n\n\tseries.data.setAll(my_chartdata.dat);\n\n\n\t// Add error bars as bullet with custom graphics\n\tseries.bullets.push(function() {\n\t\tvar graphics = am5.Graphics.new(root, {\n\t\t\tstroke: dcolor.hex,\n\t\t\tstrokeWidth: 1,\n\t\t\tfill: null,\n\t\t\tdraw: function(display, target) {\n\t\t\t\tvar dataItem = target.dataItem;\n\n\t\t\t\tvar  err = dataItem.dataContext.error,\n\t\t\t\t\ty0 = valueAxis.valueToPosition(0),\n\t\t\t\t\ty1 = valueAxis.valueToPosition(err);\n\t\t\t\tvar height =\n\t\t\t\t\tvalueAxis.get(\"renderer\").positionToCoordinate(y1) - valueAxis.get(\"renderer\").positionToCoordinate(y0);\n\t\t\t\tdisplay.moveTo(0, -height);\n\t\t\t\tdisplay.lineTo(0, height);\n\t\t\t}\n\t\t});\n\n\t\treturn am5.Bullet.new(root, {\n\t\t\tdynamic: true,\n\t\t\tsprite: graphics\n\t\t});\n\t});\n\n\n\t// Fill the scrollbar values\n\tsbseries.data.setAll(my_chartdata.dat);\n\n\n\t// Main Reducer always first (and before residuals and components)\n\tcreateMainReducer(isel);\n\n\n\t// Residuals\n\tdocument.getElementById('box-resid-in').style.visibility = 'visible';\n\tcreateResiduals(isel);\n\n\t// Residuals visible?\n\tresid_plot = aux.datinfo[isel].resid_visible;\n\n\t// Reset plot for residuals?\n\tif ( resid_plot )\n\t\tplot_reset();\n\n}  // end createDataSeries\n\n\n//\n// -- Create series for each component of a model\n\nfunction createCompSeries(isel) {\n\tif ( isel === undefined )\n\t\tisel = c_imod;\n\n\tvar p = getModels(chart_data, isel);\n\n\tvar series, cname, hs, icol = 0;\n\n\t// -- Components\n\tfor (var i = 0; i < aux.modinfo[isel].n_comps; i++) {  // Components in a model\n\t\tcname = aux.modinfo[isel].components[i];\n\t\tconsole.log('Create component:', cname);\n\n\t\tseries = chart.series.push(\n\t\t\tam5xy.LineSeries.new(root, {\n\t\t\t\tvalueXField: 'comp_x',\n\t\t\t\tvalueYField: cname,\n\t\t\t\txAxis : vxAxis,\n\t\t\t\tyAxis: valueAxis,\n\t\t\t\tname: cname,\n\t\t\t\tstrokeWidth: 2,\n\t\t\t\tshowOnInit: false,\n\t\t\t\tstroke: mycolors[icol % n_myc].hex,\n\t\t\t\tfill: mycolors[icol % n_myc].hex,\n\t\t\t\tvisible: false\n\t\t\t})\n\t\t);\n\t\tseries.strokes.template.setAll({\n\t\t\tstrokeWidth: 2,\n\t\t\tstroke: mycolors[icol % n_myc].hex,\n\t\t\tvisible: true\n\t\t});\n\t\tseries.data.setAll(my_chartdata.comp);\n\t\tconsole.log('  color:', mycolors[icol % n_myc].name, mycolors[icol % n_myc].hex);\n\t\ticol++;\n\t}  // end for i\n\n}  // end createCompSeries\n\n\n\n//\n// -- Cursor creation and events management\n\nfunction createCursor() {\n\tvar cursor = chart.set(\"cursor\",\n\t\t\t\t\t\t   am5xy.XYCursor.new(root, {\n\t\t\t\t\t\t\t   behavior: \"zoomXY\",\n\t\t\t\t\t\t\t   xAxis: vxAxis,\n\t\t\t\t\t\t\t   yAxis: valueAxis\n\t\t\t\t\t\t   })\n\t\t\t\t\t\t  );\n\tcursor.lineX.set(\"forceHidden\", false);\n\tcursor.lineY.set(\"forceHidden\", false);\n\n\t//vxAxis.set(\"tooltip\", am5.Tooltip.new(root, {}));\n\t//valueAxis.set(\"tooltip\", am5.Tooltip.new(root, {}));\n\n\n\t// Container to hold cursor X, Y values\n\tvar curXY_container = am5.Container.new(root, {\n\t\tvisible: true,\n\t\tlayout: root.horizontalLayout,\n\t\tminWidth: 200,\n\t\theight: 36,\n\t\tx: am5.p50,\n\t\ty: 0,\n\t\tcenterX: 0,\n\t\tcenterY: 36,\n\t\tbackground: am5.RoundedRectangle.new(root, {\n\t\t\tfill: am5.color('#aaa'),\n\t\t\tfillOpacity: 0.2\n\t\t})\n\t});\n\n\tchart.plotContainer.children.push(curXY_container);\n\n\t// Text Label in the cursor Container\n\tvar curXY_text = curXY_container.children.push(am5.Label.new(root, {\n\t\tid: 'cursor_pos',\n\t\ttext: '',\n\t\tmarginRight: 0,\n\t\tfontWeight: 'bolder',\n\t\tfill: dcolor.hex\n\t}));\n\n\t// Monitor actual values of cursor position\n\tvar cursorPosition = {\n\t\tx: null,\n\t\ty: null\n\t};\n\n\tcursor.events.on(\"cursormoved\", function(ev) {\n\t\tif ( cur_track ) {\n\t\t\tvar x = ev.target.getPrivate(\"positionX\");\n\t\t\tvar y = ev.target.getPrivate(\"positionY\");\n\t\t\tif ( curXY_container.isHidden() )\n\t\t\t\tcurXY_container.show();\n\t\t\tcursorPosition.x = vxAxis.positionToValue(vxAxis.toAxisPosition(x));\n\t\t\tif ( resyAxis.isVisible() )\n\t\t\t\tcursorPosition.y = resyAxis.positionToValue(resyAxis.toAxisPosition(y));\n\t\t\telse\n\t\t\t\tcursorPosition.y = valueAxis.positionToValue(valueAxis.toAxisPosition(y));\n\t\t\tvar cur_pos = '[black]X:[/] '+ cursorPosition.x.toPrecision(6) +'\\xa0\\xa0\\ [black]Y:[/] '+ cursorPosition.y.toPrecision(6);\n\t\t\tcurXY_container.setAll({x: am5.percent(x*100), y: am5.percent(y*100)});\n\t\t\tcurXY_text.setAll({text: cur_pos});\n\t\t}\n\n\t});\n\n\t// Hide container when cursor out of the plot\n\tcursor.events.on(\"cursorhidden\", function() {\n\t\tcurXY_container.hide();\n\t});\n\n\n\t// -- Plot zoom management\n\n\t// See https://www.amcharts.com/docs/v5/tutorials/axis-zoom-end-event/\n\tvar xstartEndChangeTimeout, ystartEndChangeTimeout;\n\n\tvxAxis.on(\"start\", handleXStartEndChange);\n\tvxAxis.on(\"end\", handleXStartEndChange);\n\tvalueAxis.on(\"start\", handleYStartEndChange);\n\tvalueAxis.on(\"end\", handleYStartEndChange);\n\n\tresyAxis.on(\"start\", handleYStartEndChange);\n\tresyAxis.on(\"end\", handleYStartEndChange);\n\n\t// csr2 range kept static\n\tcsr2yAxis.on(\"start\", function() {csr2yAxis.zoomToValues(0, csr2yAxis.getPrivate('max'))});\n\tcsr2yAxis.on(\"end\", function() {csr2yAxis.zoomToValues(0, csr2yAxis.getPrivate('max'))});\n\n\tfunction handleXStartEndChange() {\n\t\tif (xstartEndChangeTimeout) {\n\t\t\tclearTimeout(xstartEndChangeTimeout);\n\t\t}\n\t\txstartEndChangeTimeout = setTimeout(function() {\n\t\t\tzoomXEnded();\n\t\t}, 50);\n\t}\n\n\tfunction handleYStartEndChange() {\n\t\tif (ystartEndChangeTimeout) {\n\t\t\tclearTimeout(ystartEndChangeTimeout);\n\t\t}\n\t\tystartEndChangeTimeout = setTimeout(function() {\n\t\t\tzoomYEnded();\n\t\t}, 50);\n\t}\n\n\t// -- X zoom management\n\n\tfunction zoomXEnded() {\n\t\tconsole.log(\"Zoom X ended!\");\n\t\tconsole.log('vxAxis ranges:', vxAxis.get('min'), vxAxis.get('max'), vxAxis.get('start'), vxAxis.get('end'));\n\n\t\tvar x_min = vxAxis.get('min') + vxAxis.get('start') * (vxAxis.get('max') - vxAxis.get('min')),\n\t\t\tx_max = vxAxis.get('min') + vxAxis.get('end') * (vxAxis.get('max') - vxAxis.get('min'));\n\n\t\tx_range.min = +x_min.toPrecision(4);\n\t\tx_range.max = +x_max.toPrecision(4);\n\n\t\tconsole.log(\"zoomXEnded: X cursor selected from \"+ x_min +\" to \"+ x_max);\n\t\tinxy_ranges.xmin.value = x_min.toPrecision(4);\n\t\tinxy_ranges.xmax.value = x_max.toPrecision(4);\n\t\tlog_label_ckeck('x');\n\n\t}  // end zoomXEnded\n\n\n\t// -- Y zoom management\n\n\tfunction zoomYEnded() {\n\t\tconsole.log(\"Zoom Y ended!\");\n\t\t//console.log(\"Start, End:\", valueAxis.getPrivate(\"selectionMin\"), valueAxis.getPrivate(\"selectionMax\"));\n\n\t\tvar y_min, y_max;\n\n\t\tif ( resyAxis.isVisible() ) {\n\t\t\tconsole.log('zoomYEnded: resyAxis ranges:', resyAxis.get('min'), resyAxis.get('max'), resyAxis.get('start'), resyAxis.get('end'));\n\t\t\ty_min = resyAxis.get('min') + resyAxis.get('start') * (resyAxis.get('max') - resyAxis.get('min')),\n\t\t\ty_max = resyAxis.get('min') + resyAxis.get('end') * (resyAxis.get('max') - resyAxis.get('min'));\n\t\t} else {\n\t\t\tconsole.log('zoomYEnded: valueAxis ranges:', valueAxis.get('min'), valueAxis.get('max'), valueAxis.get('start'), valueAxis.get('end'));\n\t\t\ty_min = valueAxis.get('min') + valueAxis.get('start') * (valueAxis.get('max') - valueAxis.get('min')),\n\t\t\ty_max = valueAxis.get('min') + valueAxis.get('end') * (valueAxis.get('max') - valueAxis.get('min'));\n\t\t}\n\t\tconsole.log(\"zoomYEnded: Y cursor selected from \"+ y_min +\" to \"+ y_max);\n\n\t\ty_range.min = +y_min.toPrecision(4);\n\t\ty_range.max = +y_max.toPrecision(4);\n\n\t\tinxy_ranges.ymin.value = y_min.toPrecision(4);\n\t\tinxy_ranges.ymax.value = y_max.toPrecision(4);\n\t\tlog_label_ckeck('y');\n\n\t}  // end zoomYEnded\n\n}  // end createCursor\n\n\n//\n// -- Use aux data to set the main plot X and Y axis labels, X range and Y tick values format\n\nfunction set_xy_from_aux() {\n\n\t// X axis label\n\tchart.xAxes.getIndex(0).children.unshift(\n\t\tam5xy.AxisLabel.new(root, {\n\t\t\ttext: aux.modinfo[c_imod].x_label,\n\t\t\tfontSize: 18,\n\t\t\tx: am5.p50,\n\t\t\tcenterX:am5.p50\n\t\t})\n\t);\n\n\t// Y axis label\n\tchart.yAxes.getIndex(0).children.unshift(\n\t\tam5xy.AxisLabel.new(root, {\n\t\t\ttext: aux.modinfo[c_imod].y_label,\n\t\t\tfontSize: 18,\n\t\t\ty: am5.p50,\n\t\t\trotation: -90\n\t\t})\n\t);\n\t//To modify: chart.yAxes.getIndex(0).children.getIndex(0).set('text', 'New label')\n\n\t// X axis range\n\tchart.xAxes.getIndex(0).set('min', aux.modinfo[c_imod].x_min);\n\tchart.xAxes.getIndex(0).set('max', aux.modinfo[c_imod].x_max);\n\n\t// Use exponential notation for Y axis labels when small values are involved\n\tvalueAxis.numberFormatter = am5.NumberFormatter.new(root, {});\n\n\tif ( aux.modinfo[c_imod].y_max < 0.1 )\n\t\tvalueAxis.numberFormatter.set(\"numberFormat\", '#.00e');\n\telse\n\t\tvalueAxis.numberFormatter.set(\"numberFormat\", \"#,###.#####\");\n\n}  // end set_xy_from_aux\n\n\n//\n// -- Select current model from multi-models list\n\nfunction p_select(isel, new_file) {\n\tvar ip = document.getElementById('p_selector').value;\n\n\tif ( isel === undefined )\n\t\tisel = +ip;\n\telse {\n\t\tif ( isel === 'prev' )\n\t\t\tisel = +ip - 1;\n\t\telse if ( isel === 'next' )\n\t\t\tisel = +ip + 1;\n\n\t\tdocument.getElementById('p_selector').value = isel;\n\t}\n\n\tif ( isel == 0 ) {\n\t\tdocument.getElementById('prev_model').classList.add('div-hide');\n\t\tdocument.getElementById('next_model').classList.remove('div-hide');\n\t} else if ( isel == aux.NEpochs - 1 ) {\n\t\tdocument.getElementById('prev_model').classList.remove('div-hide');\n\t\tdocument.getElementById('next_model').classList.add('div-hide');\n\t} else {\n\t\tdocument.getElementById('prev_model').classList.remove('div-hide');\n\t\tdocument.getElementById('next_model').classList.remove('div-hide');\n\t}\n\n\tif ( new_file === undefined )\n\t\tnew_file = false;\n\n\tc_imod = isel;  // Set index of selected model\n\n\t// Create the chart\n\tcreate_chart();\n\n\n\t// The residuals highlighted range\n\tcreateResidRange(resid);\n\n\t// The cursor\n\tcreateCursor();\n\n\t// The JSON reformatted data\n\tmy_chartdata = mydata2chart(isel);\n\n\t// The series\n\tcreateDataSeries();\n\tcreateCompSeries();\n\n\t// Reset X / Y ranges\n\txy_range_reset();\n\tset_xy_from_aux();  // Some X and Y settings from aux data\n\n\t// First reset plot area to data, set to linear scale and clear all series\n\tplot_reset();\n\n\t// The main legend set legend data after all the events are set on template\n\tcreateMainLegend();\n\n\tcreateFitLogTabs();  // The fit log tables\n\n\t// Appearance settings\n\tsdata.appear(1000,100);\n\tchart.series.getIndex(2).appear(1500,100);  // The model\n}  // end p_select\n\n\n//\n// -- Legends\n\n// -- Main plot legend\n\nfunction createMainLegend() {\n\tif ( legend ) legend.dispose();\n\n\tlegend = chart.children.push(\n\t\tam5.Legend.new(root, {\n\t\t\tcenterX: am5.p50,\n\t\t\tx: am5.p50,\n\t\t\tmarginTop: 20,\n\t\t\tuseDefaultMarker: true,\n\t\t\tlayout: am5.GridLayout.new(root, {\n\t\t\t\t//maxColumns: 5,\n\t\t\t\tfixedWidthGrid: true\n\t\t\t}),\n\t\t\t//tooltip: am5.Tooltip.new(root, {labelText: ttAdapter})\n\t\t})\n\t);\n\n\n\t//legend.labels.template.text = \"[bold]{name}[/]\";\n\tlegend.labels.template.set(\"fontWeight\", 600);\n\tlegend.valueLabels.template.set(\"forceHidden\", true);  // Hide the value part of the label\n\n\tlegend.markerRectangles.template.setAll({\n\t\tcornerRadiusTL: 8,\n\t\tcornerRadiusTR: 8,\n\t\tcornerRadiusBL: 8,\n\t\tcornerRadiusBR: 8,\n\t\twidth: 16,\n\t\theight: 16,\n\t\tstrokeWidth: 2,\n\t\tstroke: am5.color(\"#ccc\")\n\t});\n\n\n\t// When legend item container is hovered highlight the series\n\tlegend.itemContainers.template.events.on(\"pointerover\", function(e) {\n\t\tvar series = e.target.dataItem.dataContext;\n\t\tseries.strokes.template.setAll({\n\t\t\tstrokeWidth: 4\n\t\t});\n\t});\n\n\t// When legend item container is unhovered reset the series stroke width\n\tlegend.itemContainers.template.events.on(\"pointerout\", function(e) {\n\t\tvar series = e.target.dataItem.dataContext;\n\t\tseries.strokes.template.setAll({\n\t\t\tstrokeWidth: 2\n\t\t});\n\t});\n\tlegend.data.setAll(chart.series.values);\n\n\t// Highlight the data/uncertainties/model series in the legend\n\tfor ( var i = 0; i < 3; i++ ) {\n\t\t//console.log('legend item:', i, legend.itemContainers.getIndex(i));\n\t\tif ( legend.itemContainers.getIndex(i) !== undefined )\n\t\t\tlegend.itemContainers.getIndex(i).set('background', am5.RoundedRectangle.new(root, { fill: am5.color(0x186680), fillOpacity: 0.2 }));\n\t}\n\n\t//See https://github.com/amcharts/amcharts4/issues/939\n\tif ( resid && !resid.isDisposed() )\n\t\tresid.get(\"legendDataItem\").get(\"itemContainer\").hide();\n\tif ( csr2 && !csr2.isDisposed() )\n\t\tcsr2.get(\"legendDataItem\").get(\"itemContainer\").hide();\n\n}  // end createMainLegend\n\n\n// -- Reset the plot (def. to show data)\n\nfunction plot_reset(lin_reset=false) {\n\tif ( resid_plot ) {\n\t\tif ( lin_reset )\n\t\t\tx_linlog_toggle(true);\n\t\t// Hide all series but resid and csr2\n\t\tvalueAxis.hide();\n\t\tvar sname;\n\t\tfor (var i = 0; i < chart.series.length; i++ ) {\n\t\t\tsname = chart.series.getIndex(i).get('name');\n\t\t\tif ( sname !== resid.get('name') && sname !== csr2.get('name') && chart.series.getIndex(i).get('visible') )\n\t\t\t\tchart.series.getIndex(i).hide();\n\t\t}\n\n\t\tn_sigma = +document.getElementById('n_sigma').value;\n\t\tresrangeDataItem.set('value', -n_sigma);\n\t\tresrangeDataItem.set('endValue', n_sigma);\n\t\tresrangeDataItem.get(\"axisFill\").set('fillOpacity', 0.1);\n\t\tvalueAxis.gridContainer.set('opacity', 0);\n\t\tresyAxis.gridContainer.set('opacity', 1);\n\t\tresyAxis.show();\n\t\tcsr2yAxis.show();\n\n\t\ty_linlog_toggle(true);\n\n\t\tresyAxis.zoomToValues(-n_sigma - 1, n_sigma + 1);\n\n\t\t// Show residuals and sum of squared residuals series\n\t\tif ( resid && !resid.isDisposed() )\n\t\t\tresid.show();\n\t\tif ( csr2 && !csr2.isDisposed() )\n\t\t\tcsr2.show();\n\t\tdocument.getElementById('resid-cb').checked = true;\n\t} else {\n\t\tif ( lin_reset ) {\n\t\t\tconsole.log(\"Reset X/Y to linear\");\n\t\t\tx_linlog_toggle(true);\n\t\t\ty_linlog_toggle(true);\n\t\t}\n\t\tresrangeDataItem.get(\"axisFill\").set('fillOpacity', 0);\n\t\tvalueAxis.gridContainer.set('opacity', 1);\n\t\tresyAxis.gridContainer.set('opacity', 0);\n\t\tresyAxis.hide();\n\t\tcsr2yAxis.hide();\n\n\t\tif ( resid && !resid.isDisposed() )\n\t\t\tresid.hide();\n\t\tif ( csr2 && !csr2.isDisposed() )\n\t\t\tcsr2.hide();\n\n\t\t// Show data and model series\n\t\tvalueAxis.show();\n\t\tsdata.show();\n\t\tchart.series.values[i_chmodel].show();\n\t\tdocument.getElementById('resid-cb').checked = false;\n\t}\n}  // end plot_reset\n\n\n// -- Dispose residuals plot series (e.g. when only Model available) - TODO\n\nfunction resplot_dispose() {\n\tif ( resid && !resid.isDisposed() )\n\t\tresid.dispose();\n\tif ( csr2 && !csr2.isDisposed() )\n\t\tcsr2.dispose();\n\n}  // end resplot_dispose\n\n\n// -- Residuals legend\n\nfunction createResidLegend() {\n\n\t// Toggle residuals visibility\n\t// Note that in v5 hide() and show() do not causes a full range replot!\n\n\tdocument.getElementById('resid-cb').addEventListener('click', function(ev) {\n\t\tif ( resyAxis.isVisible() )\n\t\t\tresid_plot = false;\n\t\telse\n\t\t\tresid_plot = true;\n\n\t\tplot_reset();\n\t\tset_init_y_range();\n\t});\n\n}  // end createResidLegend\n\n\n// -- Clear range input fields\n\nfunction inxy_range_reset() {\n\tinxy_ranges.xmin.value = '';\n\tinxy_ranges.xmax.value = '';\n\tinxy_ranges.ymin.value = '';\n\tinxy_ranges.ymax.value = '';\n\n}  // end inxy_range_reset\n\n\n// -- Reset X and Y plot range to initial values\n\nfunction xy_range_reset() {\n\tinxy_range_reset();  // Clear manual range input fields\n\tset_init_x_range();\n\tset_init_y_range();\n\n}  // end xy_range_reset\n\n\n//\n// -- amChart init code\n\nfunction create_chart() {\n\n\t// -- Create the amCharts root element\n\n\tif ( root ) root.dispose();\n\tif ( root && !root.isDisposed() ) console.log('root still exists...');\n\n\troot = am5.Root.new(\"chartdiv\");\n\n\t// Theme animated\n\tif ( am_anim )\n\t\troot.setThemes([\n\t\t\tam5themes_Animated.new(root)\n\t\t]);\n\n\n\t// -- Create the chart container\n\n\tif ( chart ) chart.dispose();\n\n\tchart = root.container.children.push(\n\t\tam5xy.XYChart.new(root, {\n\t\t\tpanX: false,  // Managed by cursor\n\t\t\tpanY: false,\n\t\t\twheelY: \"zoomX\",\n\t\t\tpinchZoomX: true,\n\t\t\tpaddingLeft: 0,\n\t\t\tlayout: root.verticalLayout\n\t\t})\n\t);\n\n\n\t// Create the X axis\n\n\tvar vxRenderer = am5xy.AxisRendererX.new(root, {});\n\tif ( vxAxis ) vxAxis.dispose();\n\n\tvxAxis = chart.xAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\tstrictMinMax: true,\n\t\t\tnumberFormat: '#',\n\t\t\trenderer: vxRenderer\n\t\t})\n\t);\n\n\tvxAxis.valueXField = 'x';\n\n\tvxRenderer.grid.template.setAll({\n\t\tstroke: am5.color(\"#ddd\"),\n\t\tstrokeOpacity: 1\n\t});\n\n\t//--vxAxis.set('min', aux.modinfo[c_imod].x_min);\n\t//--vxAxis.set('max', aux.modinfo[c_imod].x_max);\n\n\n\t// -- Create the main Y-values axis\n\n\tvar vAR = am5xy.AxisRendererY.new(root, {});\n\tif ( valueAxis ) valueAxis.dispose();\n\n\tvalueAxis = chart.yAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\t//maxDeviation: 1,\n\t\t\tstrictMinMax: true,\n \t\t\trenderer: vAR\n\t\t})\n\t);\n\n\tvAR.grid.template.setAll({\n\t\tstroke: am5.color(\"#ddd\"),\n\t\tstrokeOpacity: 1\n\t});\n\n\n\t// -- Eventually the second Y-value axis (for residuals). Note that it is only checked here!\n\n\t// The cumulative square sum of residuals\n\n\tvar vAR3 = am5xy.AxisRendererY.new(root, {\n\t\topposite: true,\n\t\tstrokeOpacity: 1,\n\t\tstrokeWidth: 4,\n\t\tstroke: am5.color(\"#900\")\n\t});\n\tcsr2yAxis = chart.yAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\trenderer: vAR3\n\t\t})\n\t);\n\n\tcsr2yAxis.strictMinMax = true;\n\tvAR3.grid.template.set(\"forceHidden\", true);\n\t//csr2yAxis.gridContainer.set('opacity', 0);\n\n\tcsr2yAxis.children.unshift(\n\t\tam5.Label.new(root, {\n\t\t\trotation: -90,\n\t\t\ttext: \"Cumulative sum of squared residuals\",\n\t\t\tfontSize: 18,\n\t\t\tfill: am5.color(\"#900\"),\n\t\t\ty: am5.p50,\n\t\t\tcenterX: am5.p50\n\t\t})\n\t);\n\n\n\tvar vAR2 = am5xy.AxisRendererY.new(root, {\n\t\tstrokeOpacity: 1,\n\t\tstrokeWidth: 4,\n\t\tstroke: am5.color(\"#495C43\")\n\t});\n\tresyAxis = chart.yAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\tstrictMinMax: true,\n \t\t\trenderer: vAR2\n\t\t})\n\t);\n\tresyAxis.gridContainer.set('opacity', 0);\n\n\tresyAxis.children.unshift(\n\t\tam5.Label.new(root, {\n\t\t\trotation: -90,\n\t\t\ttext: \"Normalized residuals (\\u03C3)\",\n\t\t\tfontSize: 18,\n\t\t\ty: am5.p50,\n\t\t\tcenterX: am5.p50\n\t\t})\n\t);\n\n\n\t// -- Create the X axis scrollbar (not disabling labels and grid)\n\n\tchart.scrollbarX = am5xy.XYChartScrollbar.new(root, {\n\t\torientation: \"horizontal\",\n\t\theight: 50\n\t});\n\tchart.set(\"scrollbarX\", chart.scrollbarX);\n\n\tvar sbxAxis = chart.scrollbarX.chart.xAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\tstrictMinMax: true,\n\t\t\trenderer: am5xy.AxisRendererX.new(root, {\n\t\t\t\topposite: false,\n\t\t\t\tstrokeOpacity: 0\n\t\t\t})\n\t\t})\n\t);\n\n\tvar sbyAxis = chart.scrollbarX.chart.yAxes.push(\n\t\tam5xy.ValueAxis.new(root, {\n\t\t\trenderer: am5xy.AxisRendererY.new(root, {})\n\t\t})\n\t);\n\n\tif ( sbseries ) sbseries.dispose();\n\n\tsbseries = chart.scrollbarX.chart.series.push(\n\t\tam5xy.LineSeries.new(root, {\n\t\t\txAxis: sbxAxis,\n\t\t\tyAxis: sbyAxis,\n\t\t\tvalueXField: \"x\",\n\t\t\tvalueYField: \"y\"\n\t\t})\n\t);\n\n\tsbseries.fills.template.setAll({\n\t\tvisible: true,\n\t\tfillOpacity: 0.3\n\t});\n\n\n\t// -- Manage the click on the legend labels, in particular \"residuals\"\n\n\t// The export menu\n\tvar exporting = am5plugins_exporting.Exporting.new(root, {\n\t\tmenu: am5plugins_exporting.ExportingMenu.new(root, {})\n\t});\n\n\t// The annotations tool\n\tvar annotator = am5plugins_exporting.Annotator.new(root, {});\n\tvar menuitems = exporting.get(\"menu\").get(\"items\");\n\n\tmenuitems.push({\n\t\ttype: \"separator\"\n\t});\n\n\tmenuitems.push({\n\t\ttype: \"custom\",\n\t\tlabel: \"Annotate\",\n\t\tcallback: function() {\n\t\t\tthis.close();\n\t\t\tannotator.toggle();\n\t\t}\n\t});\n\n\n\tchart.zoomOutButton.disabled = true;  // Disable zoom out button\n}\n\n\n//\n// -- Proceed with the chart creation once the DOM is fully loaded\n\nam5.ready(function() {\n\n\tif ( chart_data !== undefined ) {\n\n\t\t// Read metadata info\n\t\tgetauxinfo();\n\n\t\t// Let p_select do all the jobs\n\t\tp_select();\n\n\n\t\t// Highlight button for current model\n\t\tif ( aux.NEpochs > 1 )\n\t\t\tdocument.getElementById('p_selector').value = c_imod;\n\n\t} else {\n\t\tfor (var j = 0; j < 2 * Math.PI; j += 0.1)\n\t\t\tmy_chartdata.push({\"lambda\": parseInt(1000 + j*1500), \"y\": Math.sin(j)});\n\n\t}\n\n\n\t// The residuals legend is created only once\n\tcreateResidLegend();\n\n\t// Appearance settings\n\tchart.appear(1000,200);\n\n});  // end am5.ready()\n\n\n\n//\n// -- Set initial X range\n\nfunction set_init_x_range() {\n\tvar x_min, x_max;\n\n\tif ( aux.modinfo[c_imod].x_range ) {  // User defined X range\n\t\tconsole.log('set_init_x_range: Set x_range:', aux.modinfo[c_imod].x_range);\n\t\tx_min = aux.modinfo[c_imod].x_range[0];\n\t\tx_max = aux.modinfo[c_imod].x_range[1];\n\t} else {\n\t\tx_min = aux.modinfo[c_imod].x_min;\n\t\tx_max = aux.modinfo[c_imod].x_max;\n\t\tconsole.log('set_init_x_range: X range set to:', x_min, x_max);\n\t}\n\n\tx_range.min = x_min;\n\tx_range.max = x_max;\n\tlog_label_ckeck('x');\n\n\tinxy_ranges.xmin.value = x_min;\n\tinxy_ranges.xmax.value = x_max;\n\n\tif ( aux.modinfo[c_imod].x_log ) {  // User requested X log scale\n\t\tconsole.log('Set x_log:', aux.modinfo[c_imod].x_log);\n\t\tdocument.getElementById('x_log-cb').checked = true;\n\t\tx_linlog_toggle();\n\t} else\n\t\tx_linlog_toggle(true);\n\n\tvxAxis.setAll({'start': 0, 'end': 1, 'min': x_min, 'max': x_max})\n\n}  // end set_init_x_range\n\n\n//\n// -- Set initial Y data range\n\nfunction set_init_y_range() {\n\tvar y_min, y_max;\n\n\t// Main Y axis range\n\tif ( aux.modinfo[c_imod].y_range ) {  // User defined Y range\n\t\tconsole.log('set_init_y_range: set y_range from aux:', aux.modinfo[c_imod].y_range);\n\t\ty_min = aux.modinfo[c_imod].y_range[0];\n\t\ty_max = aux.modinfo[c_imod].y_range[1];\n\t} else {\n\t\ty_min = aux.modinfo[c_imod].y_min;\n\t\ty_max = aux.modinfo[c_imod].y_max;\n\t\tconsole.log('set_init_y_range: Y range set to:', y_min, y_max);\n\t}\n\ty_range.min = y_min;\n\ty_range.max = y_max;\n\tlog_label_ckeck('y');\n\n\tif ( aux.modinfo[c_imod].y_log ) {  // User requested Y log scale\n\t\tconsole.log('Set y_log:', aux.modinfo[c_imod].y_log);\n\t\tdocument.getElementById('y_log-cb').checked = true;\n\t\ty_linlog_toggle();\n\t} else\n\t\ty_linlog_toggle(true);\n\n\tvalueAxis.setAll({'start': 0, 'end': 1, 'min': y_min, 'max': y_max});\n\n\t// Residuals axis range\n\tresyAxis.setAll({'start': 0, 'end': 1, 'min': -n_sigma - 1, 'max': n_sigma + 1});\n\n\tif ( resid_plot ) {\n\t\tinxy_ranges.ymin.value = (-n_sigma - 1).toPrecision(4);\n\t\tinxy_ranges.ymax.value = (n_sigma + 1).toPrecision(4);\n\t} else {\n\t\tinxy_ranges.ymin.value = y_min.toPrecision(4);\n\t\tinxy_ranges.ymax.value = y_max.toPrecision(4);\n\t}\n\n}  // end set_init_y_range\n\n\n//\n// -- Toggle logarithmic X / Y label color\n\nfunction log_label_ckeck(axis='x') {\n\tvar xl = document.getElementById('x_log-lab'),\n\t\tyl = document.getElementById('y_log-lab');\n\n\tif ( axis.indexOf('x') >= 0 ) {\n\t\tif ( x_range.min <= 0 )\n\t\t\txl.style.color = 'var(--secondary)';\n\t\telse\n\t\t\txl.style.color = '';\n\t} else if ( axis.indexOf('y') >= 0 ) {\n\t\tif ( y_range.min <= 0 )\n\t\t\tyl.style.color = 'var(--secondary)';\n\t\telse\n\t\t\tyl.style.color = '';\n\t}\n\n}  // end log_label_ckeck\n\n\n//\n// -- Toggle linear / logarithmic X / Y scale\n\nfunction x_linlog_toggle(lin_reset=false) {\n\tx_range.logscale = document.getElementById('x_log-cb').checked;\n\n\tif ( x_range.logscale  && lin_reset ) {\n\t\tdocument.getElementById('x_log-cb').checked = false;\n\t\tvxAxis.set('logarithmic', false);\n\t\tx_range.logscale = false;\n\t\treturn;\n\t}\n\n\t// From lin to log\n\tif ( x_range.logscale ) {\n\t\tif ( x_range.min <= 0 ) {  // TODO\n\t\t\tx_linlog_toggle(true);\n\t\t\treturn;\n        }\n\t\tvxAxis.set('logarithmic', true);\n\t} else {  // From log to lin\n\t\tvxAxis.set('logarithmic', false);\n\t}\n\n\tvxAxis.setAll({'min': x_range.min, 'max': x_range.max, 'start': 0, 'end': 1});\n\tconsole.log('x_linlog_toggle: X range reset to:', x_range.min, x_range.max);\n\n}  // end x_linlog_toggle\n\n\n// -- Toggle Y axis logarithmic scale; disabled for residuals plot\n\nfunction y_linlog_toggle(lin_reset=false) {\n\ty_range.logscale = document.getElementById('y_log-cb').checked;\n\n\tif ( y_range.logscale && (resyAxis.isVisible() || lin_reset) ) {\n\t\tdocument.getElementById('y_log-cb').checked = false;\n\t\tvalueAxis.set('logarithmic', false);\n\t\ty_range.logscale = false;\n\t\tif ( lin_reset )\n\t\t\treturn;\n\t}\n\tif ( resyAxis.isVisible() )\n\t\treturn;\n\n\t// From lin to log\n\tif ( y_range.logscale ) {\n\t\tif ( y_range.min <= 0 ) {  // TODO\n\t\t\ty_linlog_toggle(true);\n\t\t\treturn;\n\t\t}\n\t\tvalueAxis.set('logarithmic', true);\n\t} else {  // From log to lin\n\t\tvalueAxis.set('logarithmic', false);\n\t}\n\n\tvalueAxis.setAll({'min': y_range.min, 'max': y_range.max, 'start': 0, 'end': 1});\n\tconsole.log('y_linlog_toggle: Y range reset to:', y_range.min, y_range.max);\n\n}  // end y_linlog_toggle\n\n\n//\n// -- Set X plot range to fixed range\n\nfunction inx_range_set() {\n\t// Note: need to parse to Float. It also requires \"0.nnn\" and not \".nnn\"\n\tvar x_size = vxAxis.get('max') - vxAxis.get('min');\n\tif ( x_size <= 0 )\n\t\tx_size = aux.modinfo[c_imod].x_step;\n\n\tvar x_min = inxy_ranges.xmin.value !== '' ? parseFloat(inxy_ranges.xmin.value) : vxAxis.get('min');\n\tvar x_max = inxy_ranges.xmax.value !== '' ? parseFloat(inxy_ranges.xmax.value) : vxAxis.get('max');\n\n\t// Order check\n\tif ( x_min > x_max ) {\n\t\tvar tmp = x_max;\n\t\tx_max = x_min;\n\t\tx_min = tmp;\n\t} else if ( x_min == x_max )\n\t\tx_max = x_min + aux.modinfo[c_imod].x_step;\n\n\tx_range.min = +x_min.toPrecision(4);\n\tx_range.max = +x_max.toPrecision(4);\n\tlog_label_ckeck('x');\n\n\tif ( x_range.logscale && x_range.min <= 0 )\n\t\treturn;\n\n\tvxAxis.setAll({'min': x_min, 'max': x_max, 'start': 0, 'end': 1});\n\tconsole.log('inx_range_set: requested X range:', x_min, x_max);\n\n}  // end inx_range_set\n\n\n//\n// -- Set the Y plot range to fixed range\n\nfunction iny_range_set() {\n\t// Note: need to parse to Float. It also requires \"0.nnn\" and not \".nnn\"\n\n\tvar y_min, y_max;\n\tif ( resyAxis.isVisible() ) {\n\t\ty_min = inxy_ranges.ymin.value !== '' ? parseFloat(inxy_ranges.ymin.value) : resyAxis.get('min');\n\t\ty_max = inxy_ranges.ymax.value !== '' ? parseFloat(inxy_ranges.ymax.value) : resyAxis.get('max');\n\t} else {\n\t\ty_min = inxy_ranges.ymin.value !== '' ? parseFloat(inxy_ranges.ymin.value) : valueAxis.get('min');\n\t\ty_max = inxy_ranges.ymax.value !== '' ? parseFloat(inxy_ranges.ymax.value) : valueAxis.get('max');\n\t}\n\n\t// Order check\n\tif ( y_min > y_max ) {\n        var tmp = y_max;\n        y_max = y_min;\n        y_min = tmp;\n\t} else if ( y_min == y_max )\n        return false;\n\n\ty_range.min = +y_min.toPrecision(4);\n\ty_range.max = +y_max.toPrecision(4);\n\tlog_label_ckeck('y');\n\n\tif ( y_range.logscale && y_range.min <= 0 )\n\t\treturn;\n\n\tif ( resyAxis.isVisible() ) {\n\t\tresyAxis.setAll({'min': y_min, 'max': y_max, 'start': 0, 'end': 1});\n\t} else {\n\t\tvalueAxis.setAll({'min': y_min, 'max': y_max, 'start': 0, 'end': 1});\n\t}\n\tconsole.log('iny_range_set: requested Y range:', y_min, y_max);\n\n}  // end iny_range_set\n\n\n//\n// -- Show/hide the components / models / extra log tables\n\nfunction gfit_table_toggle(id) {\n\tvar   divid = id +'-div',\n\t\te = document.getElementById(divid),\n\t\tsdiv = document.getElementById('fitlog_selector'),  // Selector divs\n\t\ttdiv = document.getElementById('fitlog_tables'),    // Table divs\n\t\ti = 0;\n\n\twhile (tdiv.childNodes[i]) {\n\t\tif ( tdiv.childNodes[i].id !== divid || ! isHidden(e) ) {\n\t\t\ttdiv.childNodes[i].className = 'div-hide';\n\t\t\tsdiv.childNodes[i].className = 'toggle_table-hdr';\n\t\t\tsdiv.childNodes[i].childNodes[0].className = 'div-show-inline';\n\t\t\tsdiv.childNodes[i].childNodes[1].className = 'div-hide';\n\t\t} else {\n\t\t\ttdiv.childNodes[i].className = 'out_table rep_div-show';\n\t\t\t//sdiv.scrollIntoView();\n\t\t\tsdiv.childNodes[i].className = 'toggle_table-hdr div-selected';\n\t\t\tsdiv.childNodes[i].childNodes[0].className = 'div-hide';\n\t\t\tsdiv.childNodes[i].childNodes[1].className = 'div-show-inline';\n\t\t}\n\t\ti++;\n\t}\n\n}  // end gfit_table_toggle\n\n\n//\n// -- Display input JSON formatted fit results in table format\n// -- Params:\n//    obj:    the json object\n//    type:   0=Model components + parameters, 1=fit_results, 2=extra\n//    tab_id: the (html div) id to give to the created table.\n//\t      For extra tables this is just an integer ith table id.\n\nvar tableFromJson = function(obj, type, tab_id) {\n\tif ( type !== 2 && (obj == undefined || obj.show == undefined) )\n\t\treturn;\n\n\tvar tlab = document.createElement('div'),\n\t\tcontentdiv, comp, cname, title;\n\n\t// Define component/evaluations reference object and header from type\n\n\tif ( type !== 2 )\n\t\tcomp = stripansi(obj.show);\n\n\t//console.log(comp);\n\n\tcontentdiv = document.createElement('div');\n\n\tswitch (type) {  // Model\n    case 0:\n\t\ttitle = '<div id=\"'+ tab_id +'_angle_down\" class=\"div-hide\"><svg class=\"icon-angle\" width=\"12\" height=\"18\"><use href=\"#angle-down\"></use></svg></div>'+\n\t\t\t'<div id=\"'+ tab_id +'_angle_up\" class=\"div-show-inline\"><svg class=\"icon-angle\" width=\"12\" height=\"18\"><use href=\"#angle-up\"></use></svg></div>'+\n\t\t\t'<span class=\"ud-angle-l\">Model</span>';\n\t\ttlab.setAttribute('id', tab_id +'_sect');\n\t\ttlab.setAttribute('class', 'toggle_table-hdr div-selected');\n\t\ttlab.setAttribute('onclick', \"gfit_table_toggle('\"+ tab_id +\"')\");\n\n\t\tvar div = document.createElement('div');\n\t\tvar pre = document.createElement('pre');\n\t\tpre.setAttribute('class', 'pre_res');\n\n\t\tvar cs = comp.split('\\n');\n\t\tcs[0] = '<span style=\"color: var(--green)\">'+ cs[0] +'</span>';\n\t\tcp = cs[2].split('│');\n\n\t\tfor (var i = 0; i < cp.length; i++)\n\t\t\tcp[i] = '<span style=\"color: var(--light); background-color: var(--dark);\">'+ cp[i] +'</span>';\n\t\tcs[2] = cp.join('│');\n\t\tvar ips = cs.indexOf('Parameters:');\n\t\tcs[ips] = '<span style=\"color: var(--green)\">'+ cs[ips] +'</span>';\n\t\tcp = cs[ips+2].split('│');\n\t\tfor (var i = 0; i < cp.length; i++)\n\t\t\tcp[i] = '<span style=\"color: var(--light); background-color: var(--dark);\">'+ cp[i] +'</span>';\n\t\tcs[ips+2] = cp.join('│');\n\n\t\tcomp = cs.join('\\n');\n\t\tpre.innerHTML = comp;\n\t\tdiv.appendChild(pre);\n\t\tcontentdiv.appendChild(div);\n\n\t\ttlab.innerHTML = title;\n\n\t\t// Create a table with its id\n\t\ttabdiv = document.createElement('div');\n\t\ttabdiv.appendChild(tlab);\n\t\ttabdiv.appendChild(contentdiv);\n\n\t\tbreak;\n\n    case 1:\n\t\t// The summary table\n\t\tvar div = document.createElement('div');\n\t\tdiv.setAttribute('class', 'summ-div');\n\t\tdiv.setAttribute('id', 'summ-div');\n\n\t\tvar cs = comp.split('\\n');\n\t\tcs[0] = '<span style=\"color: var(--green)\">'+ cs[0] +'</span>';\n\t\tcomp = cs.join('\\n');\n\t\tcomp = comp.replace(/OK/i, '<span style=\"color: var(--green)\">OK</span>');\n\n\t\tvar pre = document.createElement('pre');\n\t\tpre.setAttribute('class', 'pre_res_bf');\n\t\tpre.innerHTML = comp;\n\t\tdiv.appendChild(pre);\n\t\tcontentdiv.appendChild(div);\n\n\t\tbreak;\n\n    case 2:  // Extra tables\n\t\t//comp = obj.show;\n\t\tcomp = obj[\"+\"];\n\t\ttab_id = 'extra_table'+ tab_id;  // Must be unique\n\n\t\ttitle = '<div id=\"'+ tab_id +'_angle_down\" class=\"div-show-inline\"><svg class=\"icon-angle\" width=\"12\" height=\"18\"><use href=\"#angle-down\"></use></svg></div>'+\n\t\t\t'<div id=\"'+ tab_id +'_angle_up\" class=\"div-hide\"><svg class=\"icon-angle\" width=\"12\" height=\"18\"><use href=\"#angle-up\"></use></svg></div>'+\n\t\t\t'<span class=\"ud-angle-l\">'+ comp.label +'</span>';\n\n\t\ttlab.setAttribute('id', tab_id +'_sect');\n\t\ttlab.setAttribute('class', 'toggle_table-hdr');\n\t\ttlab.setAttribute('onclick', \"gfit_table_toggle('\"+ tab_id +\"')\");\n\n\t\ttlab.innerHTML = title;\n\n\t\tvar div = document.createElement('div');\n\t\ttab = document.createElement('table');\n\t\tdiv.appendChild(tab);\n\n\t\t// Create table header row using the field names\n\t\thdr = tab.createTHead();\n\t\ttr = hdr.insertRow(0);\n\n\t\tfor (var i = 0; i < comp.fields.length; i++) {\n\t\t\tvar th = document.createElement('th');\n\t\t\tth.innerHTML = comp.fields[i][\"+\"].label\n\t\t\ttr.appendChild(th);\n\t\t}\n\n\t\t// Table body\n\t\ttb = tab.appendChild(document.createElement('tbody'));\n\t\tvar nc = comp.fields[0][\"+\"].data.length;  // Number of rows\n\n\t\tfor (var i = 0; i < nc; i++) {\n\t\t\ttr = tb.insertRow(-1);\n\n\t\t\tfor (var j = 0; j < comp.fields.length; j++) {\n\t\t\t\ttabCell = tr.insertCell(-1);\n\t\t\t\ttabCell.innerHTML = comp.fields[j][\"+\"].data[i];\n\t\t\t}\n\t\t}\n\t\tcontentdiv.appendChild(div);\n\n\t\tbreak;\n\n    default:\n\t\tconsole.log(`Sorry, option not recognised: \${type}.`);\n\t}\n\n\n\tif ( tab_id !== undefined )\n\t\tcontentdiv.setAttribute('id', tab_id +'-div');\n\n\tif ( type == 2 )  // Extra tables hidden by default\n\t\tcontentdiv.setAttribute('class', 'div-hide');\n\telse\n\t\tcontentdiv.setAttribute('class', 'out_table rep_div-show');\n\n\t// Selector label and table returned separately\n\treturn {\"selector\": tlab, \"table\": contentdiv};\n\n}  // end tableFromJson\n\n\n//\n// -- The fit log tables section\n\nfunction createFitLogTabs() {\n\tvar tab_extra = [];\t// Additional GModelFit provided summary tables\n\tvar n_extratab = 0;\n\tvar divSelectData = document.getElementById('fitlog_selector');\n\tvar divShowData = document.getElementById('fitlog_tables');\n\tvar divFitRes = document.getElementById('fitres-div');\n\tvar tabdiv;\n\n\tdivSelectData.innerHTML = '';\n\tdivShowData.innerHTML = '';\n\tdivFitRes.innerHTML = '';\n\n\tvar p = getModels(chart_data, c_imod);\n\tif ( chart_data['+'].extra !== undefined )\n\t\ttab_extra.push(chart_data['+'].extra[c_imod]);\n\telse\n\t\ttab_extra.push({});\n\n\ttabdiv = tableFromJson(p, 0, 'comp_table');\n\n\tdivSelectData.appendChild(tabdiv.selector);  // Add the components + evaluations table to the container\n\tdivShowData.appendChild(tabdiv.table);\n\n\n\t// Extra tables in a separate div, if they exist for the current evaluations.\n\tif ( tab_extra[0] !== undefined ) {\n\t\tn_extratab = Object.keys(tab_extra[0]).length;  // TODO: replace [0] with epoch\n\t\tconsole.log('There are '+ n_extratab +' extra tables.');\n\n\t\tvar extratabs = Object.keys(tab_extra[0]);\n\t\tfor (var i = 0; i < n_extratab; i++) {\n\t\t\ttabdiv = tableFromJson(tab_extra[0][extratabs[i]], 2, i);\n\t\t\tif ( i == 0 )\n\t\t\t\ttabdiv.selector.style.borderLeft = '3px solid #ccc';\n\t\t\tdivSelectData.appendChild(tabdiv.selector);  // Add the extra table to the container\n\t\t\tdivShowData.appendChild(tabdiv.table);\n\t\t}\n\t\t//divShowData.appendChild(divShowExtra);\n\t} //else\n\t//divShowExtra.classList.add('div-hide');\n\n\tif ( chart_data['+'].fitsummary !== undefined ) {\n\t\ttabdiv = tableFromJson(chart_data['+'].fitsummary['+'], 1, 'fitres_table');\n\n\t\tif ( tabdiv !== undefined )\n\t\t\tdivFitRes.appendChild(tabdiv.table);\n\t}\n\n}  // end createFitLogTabs\n\n\t</script>\n\n</div>  <!-- interface -->\n\n\n<div class=\"trailer\">\n  A viewer for <a href=\"https://github.com/gcalderone/GModelFit.jl\" style=\"color: #fff; font-weight: bold;\" target=\"_new\">GModelFit</a> 1D results\n  &minus; <a style=\"color: #ccc;\" href=\"mailto:luciano.nicastro@inaf.it\">L. Nicastro</a>\n  &amp; <a style=\"color: #ccc;\" href=\"mailto:giorgio.calderone@inaf.it\">G. Calderone</a>, 2026\n</div>\n\n</body>\n</html>\n"
ERROR: LoadError: There was an error during testing
in expression starting at /home/pkgeval/.julia/packages/GModelFitViewer/7DYxL/test/runtests.jl:96

Testing failed after 185.54s

ERROR: LoadError: Package GModelFitViewer errored during testing
Stacktrace:
  [1] pkgerror(msg::String)
    @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68
  [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool)
    @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3138
  [3] test
    @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [inlined]
  [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586
  [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:562
  [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172
  [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161
  [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160
  [9] test
    @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined]
 [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String)
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159
 [11] top-level scope
    @ /PkgEval.jl/scripts/evaluate.jl:223
 [12] include(mod::Module, _path::String)
    @ Base ./Base.jl:323
 [13] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:344
 [14] _start()
    @ Base ./client.jl:585
in expression starting at /PkgEval.jl/scripts/evaluate.jl:214

PkgEval failed after 1149.5s: package tests unexpectedly errored