(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 8.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       157,          7]
NotebookDataLength[    925296,      16279]
NotebookOptionsPosition[    922040,      16171]
NotebookOutlinePosition[    922485,      16188]
CellTagsIndexPosition[    922442,      16185]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{

Cell[CellGroupData[{
Cell[TextData[{
 StyleBox["Supplementary notebook for article : \"Tree Graphs and Parameter \
Estimation in Metabolic Networks\"",
  FontSize->24],
 "\n\n",
 StyleBox["l.j.astola@tue.nl",
  FontSize->14,
  FontColor->RGBColor[0, 0, 1]]
}], "Title",
 CellChangeTimes->{{3.543556181808349*^9, 3.5435562764547625`*^9}, {
  3.543556535391687*^9, 3.543556537357312*^9}, {3.6767786303996086`*^9, 
  3.67677865242964*^9}}],

Cell[CellGroupData[{

Cell["Sloppiness/identifiability of the parameters", "Section",
 CellChangeTimes->{{3.5569471516396656`*^9, 3.556947169361152*^9}, {
  3.676778749759776*^9, 3.6767787603497906`*^9}}],

Cell["\<\
Network parameters can be estimated from time series data using the other \
supplementary notebook \[OpenCurlyDoubleQuote]DynamicKineticRateSolver.nb\
\[CloseCurlyDoubleQuote].  This notebook is for testing to which extent the \
parameters can be identified.

After the parameters are estimated and the concentration functions \
reconstructed, we use the parameter matrix (automatically) obtained in the \
process to study the identifiability. The results are listed below.
 \
\>", "Text",
 CellChangeTimes->{{3.5569476823789644`*^9, 3.556947733359764*^9}, {
  3.556947799909472*^9, 3.5569478458517666`*^9}, {3.556948283407465*^9, 
  3.556948293110478*^9}, {3.6767787445597687`*^9, 3.6767790304501686`*^9}}],

Cell[CellGroupData[{

Cell["1. Estimate the parameters", "Subsection",
 CellChangeTimes->{{3.5569503461422367`*^9, 3.5569503686690702`*^9}, {
  3.676779036820178*^9, 3.6767790374701786`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"{", 
    RowBox[{"solutions", ",", "residual", ",", "curves", ",", "matrixlist"}], 
    "}"}], "=", 
   RowBox[{"KineticRates", "[", 
    RowBox[{"timepoints", ",", "measurements", ",", "networkmatrix"}], 
    "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.676780277671915*^9, 3.6767802800819187`*^9}}]
}, Closed]],

Cell[CellGroupData[{

Cell["2. Choose a parameter", "Subsection",
 CellChangeTimes->{{3.5569503461422367`*^9, 3.5569504035045395`*^9}, {
  3.556950445313344*^9, 3.5569504668105574`*^9}, {3.6767790401901827`*^9, 
  3.676779042170185*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"pos", "=", 
  RowBox[{"Position", "[", 
   RowBox[{"networkmatrix", ",", "1"}], "]"}], 
  RowBox[{"(*", 
   RowBox[{
    RowBox[{
    "this", " ", "network", " ", "model", " ", "is", " ", "from", " ", 
     "notebook", " ", 
     RowBox[{"DynamicKineticRateSolver", ".", "nb"}]}], ",", " ", 
    RowBox[{
    "you", " ", "may", " ", "substitute", " ", "with", " ", "an", " ", 
     "alternative", " ", "tree", " ", "structured", " ", "network", " ", 
     "matrix"}]}], "*)"}]}]], "Input",
 CellChangeTimes->{{3.5569506170099506`*^9, 3.5569506308161273`*^9}, {
  3.676779055580204*^9, 3.676779099770266*^9}, {3.676780286441927*^9, 
  3.676780304611953*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"2", ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"3", ",", "2"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"4", ",", "2"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"5", ",", "3"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"6", ",", "3"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"7", ",", "4"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"8", ",", "4"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.5587043702379866`*^9, 3.558752816769167*^9, 
  3.558805315608667*^9, 3.559363052992076*^9}]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["Use finite differences to compute Hessian eigenvalues", "Subsection",
 CellChangeTimes->{{3.558764555720787*^9, 3.558764574439227*^9}, {
  3.676781914564207*^9, 3.6767819421542454`*^9}}],

Cell[CellGroupData[{

Cell["\<\
parameter wise variation (this function is used in computing the Hessian)\
\>", "Subsubsection",
 CellChangeTimes->{{3.558411831333846*^9, 3.558411847900834*^9}, {
  3.6767818577541275`*^9, 3.6767818901041727`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"vary", "[", 
   RowBox[{
   "parameterposition_", ",", "matrixlist_", ",", "model_", ",", 
    "sampleset_"}], "]"}], ":=", 
  RowBox[{"Module", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"matlist", ",", "perturbed", ",", "timeser", ",", "odes"}], 
     "}"}], ",", 
    RowBox[{
     RowBox[{"funs", "=", 
      RowBox[{"Join", "[", 
       RowBox[{
        RowBox[{"{", "1", "}"}], ",", 
        RowBox[{"Table", "[", 
         RowBox[{
          RowBox[{"ToExpression", "[", 
           RowBox[{"\"\<x\>\"", "<>", 
            RowBox[{"ToString", "[", "i", "]"}], "<>", "\"\<[t]\>\""}], "]"}],
           ",", 
          RowBox[{"{", 
           RowBox[{"i", ",", 
            RowBox[{
             RowBox[{"Dimensions", "[", "sampleset", "]"}], "[", 
             RowBox[{"[", "1", "]"}], "]"}]}], "}"}]}], "]"}]}], "]"}]}], ";",
      "\[IndentingNewLine]", 
     RowBox[{"funns", "=", 
      RowBox[{"Table", "[", 
       RowBox[{
        RowBox[{"ToExpression", "[", 
         RowBox[{"\"\<x\>\"", "<>", 
          RowBox[{"ToString", "[", "i", "]"}]}], "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"i", ",", 
          RowBox[{
           RowBox[{"Dimensions", "[", "sampleset", "]"}], "[", 
           RowBox[{"[", "1", "]"}], "]"}]}], "}"}]}], "]"}]}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"perturbed", "=", 
      RowBox[{"Table", "[", 
       RowBox[{
        RowBox[{"ReplacePart", "[", 
         RowBox[{
          RowBox[{"matrixlist", "[", 
           RowBox[{"[", "i", "]"}], "]"}], ",", 
          RowBox[{"{", 
           RowBox[{"parameterposition", "\[Rule]", 
            RowBox[{
             RowBox[{"(", 
              RowBox[{"1", "+", 
               RowBox[{"0.2", "*", 
                RowBox[{"RandomVariate", "[", 
                 RowBox[{"NormalDistribution", "[", "]"}], "]"}]}]}], ")"}], 
             "*", 
             RowBox[{"matrixlist", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", 
                RowBox[{"parameterposition", "[", 
                 RowBox[{"[", "1", "]"}], "]"}], ",", 
                RowBox[{"parameterposition", "[", 
                 RowBox[{"[", "2", "]"}], "]"}]}], "]"}], "]"}]}]}], "}"}]}], 
         "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"j", ",", "1", ",", "10"}], "}"}], ",", 
        RowBox[{"{", 
         RowBox[{"i", ",", 
          RowBox[{"Length", "[", "matrixlist", "]"}]}], "}"}]}], "]"}]}], ";", 
     RowBox[{"timeser", "=", 
      RowBox[{"Table", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{
          RowBox[{
           RowBox[{"sampleset", "[", 
            RowBox[{"[", 
             RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}], "[", 
           RowBox[{"[", "j", "]"}], "]"}], ",", 
          RowBox[{"perturbed", "[", 
           RowBox[{"[", 
            RowBox[{"i", ",", "j", ",", "k", ",", "l"}], "]"}], "]"}]}], 
         "}"}], ",", 
        RowBox[{"{", 
         RowBox[{"i", ",", 
          RowBox[{
           RowBox[{"Dimensions", "[", "perturbed", "]"}], "[", 
           RowBox[{"[", "1", "]"}], "]"}]}], "}"}], ",", 
        RowBox[{"{", 
         RowBox[{"k", ",", 
          RowBox[{
           RowBox[{"Dimensions", "[", "perturbed", "]"}], "[", 
           RowBox[{"[", "3", "]"}], "]"}]}], "}"}], ",", 
        RowBox[{"{", 
         RowBox[{"l", ",", 
          RowBox[{
           RowBox[{"Dimensions", "[", "perturbed", "]"}], "[", 
           RowBox[{"[", "4", "]"}], "]"}]}], "}"}], ",", 
        RowBox[{"{", 
         RowBox[{"j", ",", 
          RowBox[{
           RowBox[{"Dimensions", "[", "perturbed", "]"}], "[", 
           RowBox[{"[", "2", "]"}], "]"}]}], "}"}]}], "]"}]}], ";", "\n", 
     RowBox[{"ippolsysmats", "=", 
      RowBox[{"Map", "[", 
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"(", 
           RowBox[{"model", "+", 
            RowBox[{"IdentityMatrix", "[", 
             RowBox[{
              RowBox[{"Dimensions", "[", "model", "]"}], "[", 
              RowBox[{"[", "1", "]"}], "]"}], "]"}]}], ")"}], "*", "#"}], 
         "&"}], ",", 
        RowBox[{"Table", "[", 
         RowBox[{
          RowBox[{
           RowBox[{"Interpolation", "[", 
            RowBox[{
             RowBox[{"timeser", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", "j", ",", "k"}], "]"}], "]"}], ",", 
             RowBox[{"InterpolationOrder", "->", "1"}]}], "]"}], "[", "t", 
           "]"}], ",", 
          RowBox[{"{", 
           RowBox[{"i", ",", 
            RowBox[{
             RowBox[{"Dimensions", "[", "timeser", "]"}], "[", 
             RowBox[{"[", "1", "]"}], "]"}]}], "}"}], ",", 
          RowBox[{"{", 
           RowBox[{"j", ",", 
            RowBox[{
             RowBox[{"Dimensions", "[", "timeser", "]"}], "[", 
             RowBox[{"[", "2", "]"}], "]"}]}], "}"}], ",", 
          RowBox[{"{", 
           RowBox[{"k", ",", 
            RowBox[{
             RowBox[{"Dimensions", "[", "timeser", "]"}], "[", 
             RowBox[{"[", "3", "]"}], "]"}]}], "}"}]}], "]"}]}], "]"}]}], ";",
      "\n", 
     RowBox[{"odes", "=", 
      RowBox[{"Table", "[", 
       RowBox[{
        RowBox[{"Join", "[", 
         RowBox[{
          RowBox[{"Table", "[", 
           RowBox[{
            RowBox[{
             RowBox[{"D", "[", 
              RowBox[{
               RowBox[{"funs", "[", 
                RowBox[{"[", "i", "]"}], "]"}], ",", "t"}], "]"}], "==", 
             RowBox[{"Sum", "[", 
              RowBox[{
               RowBox[{
                RowBox[{"ippolsysmats", "[", 
                 RowBox[{"[", 
                  RowBox[{"k", ",", "i", ",", "j"}], "]"}], "]"}], "*", 
                RowBox[{"funs", "[", 
                 RowBox[{"[", "j", "]"}], "]"}]}], ",", 
               RowBox[{"{", 
                RowBox[{"j", ",", 
                 RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}]}], ",", "\n", 
            RowBox[{"{", 
             RowBox[{"i", ",", "2", ",", 
              RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}], ",", "\n", 
          RowBox[{"Table", "[", 
           RowBox[{
            RowBox[{
             RowBox[{
              RowBox[{"funns", "[", 
               RowBox[{"[", "i", "]"}], "]"}], "[", "init", "]"}], "==", 
             RowBox[{"sampleset", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", "1", ",", "2"}], "]"}], "]"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"i", ",", "dim"}], "}"}]}], "]"}]}], "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"k", ",", 
          RowBox[{"Length", "[", "ippolsysmats", "]"}]}], "}"}]}], "]"}]}], 
     ";", "\n", 
     RowBox[{"sols", "=", 
      RowBox[{"Table", "[", 
       RowBox[{
        RowBox[{"NDSolve", "[", 
         RowBox[{
          RowBox[{"odes", "[", 
           RowBox[{"[", "k", "]"}], "]"}], ",", "funns", ",", 
          RowBox[{"{", 
           RowBox[{"t", ",", "init", ",", "end"}], "}"}]}], "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"k", ",", 
          RowBox[{"Length", "[", "odes", "]"}]}], "}"}]}], "]"}]}], ";", "\n", 
     RowBox[{"functions", "=", 
      RowBox[{"Table", "[", 
       RowBox[{
        RowBox[{"funns", "/.", 
         RowBox[{"sols", "[", 
          RowBox[{"[", 
           RowBox[{"k", ",", "1"}], "]"}], "]"}]}], ",", 
        RowBox[{"{", 
         RowBox[{"k", ",", 
          RowBox[{"Length", "[", "sols", "]"}]}], "}"}]}], "]"}]}], ";", "\n", 
     RowBox[{"residuals", "=", 
      RowBox[{"Table", "[", 
       RowBox[{
        RowBox[{"Norm", "[", 
         RowBox[{
          RowBox[{
           RowBox[{"Table", "[", 
            RowBox[{
             RowBox[{
              RowBox[{"functions", "[", 
               RowBox[{"[", 
                RowBox[{"k", ",", "i"}], "]"}], "]"}], "[", "t", "]"}], ",", 
             RowBox[{"{", 
              RowBox[{"i", ",", "dim"}], "}"}], ",", 
             RowBox[{"{", 
              RowBox[{"t", ",", 
               RowBox[{"sampleset", "[", 
                RowBox[{"[", 
                 RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}]}], "}"}]}],
             "]"}], "-", 
           RowBox[{"sampleset", "[", 
            RowBox[{"[", 
             RowBox[{"All", ",", "All", ",", "2"}], "]"}], "]"}]}], ",", 
          "\"\<Frobenius\>\""}], "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"k", ",", 
          RowBox[{"Length", "[", "functions", "]"}]}], "}"}]}], "]"}]}], ";", 
     "\n", 
     RowBox[{"{", 
      RowBox[{"residuals", ",", "functions", ",", "ippolsysmats"}], "}"}]}]}],
    "]"}]}]], "Input",
 CellChangeTimes->{{3.556951411665072*^9, 3.5569515349370623`*^9}, {
   3.5569521646516*^9, 3.556952174604272*^9}, 3.5569524819070234`*^9, {
   3.5569532671920004`*^9, 3.5569532719032307`*^9}, {3.556953367921846*^9, 
   3.556953445563544*^9}, {3.5569538809155345`*^9, 3.5569538836455517`*^9}, {
   3.556956361696967*^9, 3.556956383366061*^9}, 3.5569564546752357`*^9, {
   3.5569566457521133`*^9, 3.55695664612652*^9}, {3.5569569244953856`*^9, 
   3.5569569280210085`*^9}, {3.556957373856266*^9, 3.556957383497128*^9}, {
   3.5569574149157295`*^9, 3.5569574169125423`*^9}, {3.5569576329115267`*^9, 
   3.5569576347523384`*^9}, {3.5569580806499968`*^9, 3.556958093488879*^9}, 
   3.556958125422284*^9, {3.556958249879882*^9, 3.5569582542323093`*^9}, {
   3.5569583024678187`*^9, 3.5569583170227118`*^9}, {3.5569585688707266`*^9, 
   3.556958637713968*^9}, {3.5569586704585776`*^9, 3.5569587643399796`*^9}, {
   3.556958794853775*^9, 3.556958838658856*^9}, {3.556959297145795*^9, 
   3.5569592985966043`*^9}, {3.5569600454029083`*^9, 
   3.5569600543397026`*^9}, {3.5569601194083004`*^9, 3.55696012636434*^9}, {
   3.556960167991398*^9, 3.556960171562997*^9}, {3.5569612068120637`*^9, 
   3.5569612101973724`*^9}, {3.5569635264948254`*^9, 
   3.5569635274464254`*^9}, {3.5569637925216255`*^9, 
   3.5569638154224253`*^9}, {3.5569638615672255`*^9, 
   3.5569638723468256`*^9}, {3.55696441714859*^9, 3.556964417601037*^9}, {
   3.5569646551005096`*^9, 3.5569646621207795`*^9}, {3.557209107815962*^9, 
   3.5572091376636686`*^9}, {3.5572093282505693`*^9, 
   3.5572093508148603`*^9}, {3.557209442260091*^9, 3.55720944906848*^9}, {
   3.5572094923349547`*^9, 3.557209494727092*^9}, {3.5572130275212183`*^9, 
   3.5572130454612494`*^9}, {3.5572135775511246`*^9, 
   3.5572135783311253`*^9}, {3.5572171000551443`*^9, 3.55721719996802*^9}, {
   3.557217480759835*^9, 3.5572174820546103`*^9}, {3.557221982585553*^9, 
   3.5572219829911585`*^9}, {3.557222129740554*^9, 3.557222129974551*^9}, {
   3.5572258305077724`*^9, 3.557225837278185*^9}, {3.5572265179348974`*^9, 
   3.5572265185432987`*^9}, {3.5572271019861016`*^9, 
   3.5572271025316257`*^9}, {3.558243959761712*^9, 3.5582439648629208`*^9}}]
}, Closed]],

Cell[CellGroupData[{

Cell["\<\
sloppy parameter wise variation (this function is used in computing the \
Hessian)\
\>", "Subsubsection",
 CellChangeTimes->{{3.558411831333846*^9, 3.558411847900834*^9}, {
  3.558411880270419*^9, 3.5584118820799956`*^9}, {3.67678189541418*^9, 
  3.6767818956641803`*^9}}],

Cell["\<\
take each matrix given by timevariant separately to obtain derivatives\
\>", "Text",
 CellChangeTimes->{{3.558412542214864*^9, 3.5584125739768705`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"\[Delta]1", "=", "0.000001"}]], "Input",
 CellChangeTimes->{{3.558416257152935*^9, 3.5584162602886157`*^9}, {
   3.558758082181088*^9, 3.5587580867171593`*^9}, {3.5587589895072956`*^9, 
   3.55875899049271*^9}, {3.5587590297256217`*^9, 3.5587590301581287`*^9}, 
   3.5587631893600793`*^9, 3.558763820558372*^9, 3.5587692870360737`*^9}],

Cell[BoxData["1.`*^-6"], "Output",
 CellChangeTimes->{
  3.5584162605694227`*^9, {3.5587580838773127`*^9, 3.5587580869455624`*^9}, 
   3.5587589944457703`*^9, 3.5587590310711412`*^9, 3.5587631901556845`*^9, 
   3.55876382196239*^9, 3.558769287987686*^9, 3.5587726285013638`*^9, 
   3.559363066548562*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"\[Delta]2", "=", "0.000001"}]], "Input",
 CellChangeTimes->{{3.5587638262836456`*^9, 3.55876383210252*^9}, 
   3.5587692894853053`*^9, {3.5587724764988537`*^9, 3.5587724794312773`*^9}, {
   3.5587725292980833`*^9, 3.5587725297036314`*^9}, {3.5587726204215994`*^9, 
   3.5587726256781254`*^9}}],

Cell[BoxData["1.`*^-6"], "Output",
 CellChangeTimes->{3.558763833007332*^9, 3.558769291716134*^9, 
  3.5587724803515596`*^9, 3.5587725331507893`*^9, 3.5587726263800354`*^9, 
  3.559363067203767*^9}]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"parder", "[", 
   RowBox[{"parameterposition_", ",", "matrix_", ",", "\[Delta]_"}], "]"}], ":=", 
  RowBox[{"ReplacePart", "[", 
   RowBox[{"matrix", ",", 
    RowBox[{"{", 
     RowBox[{"parameterposition", "\[Rule]", 
      RowBox[{
       RowBox[{"(", 
        RowBox[{"1", "+", "\[Delta]"}], ")"}], "*", 
       RowBox[{"matrix", "[", 
        RowBox[{"[", 
         RowBox[{
          RowBox[{"parameterposition", "[", 
           RowBox[{"[", "1", "]"}], "]"}], ",", 
          RowBox[{"parameterposition", "[", 
           RowBox[{"[", "2", "]"}], "]"}]}], "]"}], "]"}]}]}], "}"}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.5584125304055123`*^9, 3.558412539999635*^9}, 
   3.558412578984535*^9, {3.5584126324932213`*^9, 3.558412642243347*^9}, {
   3.558412688608925*^9, 3.558412884227356*^9}, {3.558412972698907*^9, 
   3.558413011934164*^9}, 3.5584132042259274`*^9, 3.558413335378734*^9, {
   3.55841336759356*^9, 3.558413444550333*^9}, {3.558413562770033*^9, 
   3.558413565843292*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"parcur", "[", 
   RowBox[{
   "parameterposition1_", ",", "parameterposition2_", ",", "matrix_", ",", 
    "\[Delta]1_", ",", "\[Delta]2_"}], "]"}], ":=", 
  RowBox[{"ReplacePart", "[", 
   RowBox[{
    RowBox[{"ReplacePart", "[", 
     RowBox[{"matrix", ",", 
      RowBox[{"{", 
       RowBox[{"parameterposition1", "\[Rule]", 
        RowBox[{
         RowBox[{"(", 
          RowBox[{"1", "+", "\[Delta]1"}], ")"}], "*", 
         RowBox[{"matrix", "[", 
          RowBox[{"[", 
           RowBox[{
            RowBox[{"parameterposition1", "[", 
             RowBox[{"[", "1", "]"}], "]"}], ",", 
            RowBox[{"parameterposition1", "[", 
             RowBox[{"[", "2", "]"}], "]"}]}], "]"}], "]"}]}]}], "}"}]}], 
     "]"}], ",", 
    RowBox[{"{", 
     RowBox[{"parameterposition2", "\[Rule]", 
      RowBox[{
       RowBox[{"(", 
        RowBox[{"1", "+", "\[Delta]2"}], ")"}], "*", 
       RowBox[{"matrix", "[", 
        RowBox[{"[", 
         RowBox[{
          RowBox[{"parameterposition2", "[", 
           RowBox[{"[", "1", "]"}], "]"}], ",", 
          RowBox[{"parameterposition2", "[", 
           RowBox[{"[", "2", "]"}], "]"}]}], "]"}], "]"}]}]}], "}"}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.558763845581093*^9, 3.558763926889335*^9}, {
  3.5587639915677643`*^9, 3.5587640326742916`*^9}}]
}, Closed]],

Cell[CellGroupData[{

Cell["the Hessian ", "Subsubsection",
 CellChangeTimes->{{3.558411831333846*^9, 3.558411847900834*^9}, {
  3.558411880270419*^9, 3.5584118820799956`*^9}, {3.676781836424097*^9, 
  3.6767818434741073`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"hessian", "[", 
   RowBox[{"m_", ",", "l_"}], "]"}], ":=", 
  RowBox[{"CompoundExpression", "[", 
   RowBox[{
    RowBox[{"parpos1", "=", 
     RowBox[{"pos", "[", 
      RowBox[{"[", "m", "]"}], "]"}]}], ";", 
    RowBox[{"parpos2", "=", 
     RowBox[{"pos", "[", 
      RowBox[{"[", "l", "]"}], "]"}]}], ";", "\n", 
    RowBox[{"(*", 
     RowBox[{
      RowBox[{
      "perturb", " ", "the", " ", "optimal", " ", "solution", " ", "matrix", 
       " ", "to"}], " ", "=", 
      RowBox[{"-", "directions"}]}], "*)"}], "\[IndentingNewLine]", 
    RowBox[{"mlist1", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"parder", "[", 
        RowBox[{"parpos1", ",", 
         RowBox[{"matrixlist", "[", 
          RowBox[{"[", "i", "]"}], "]"}], ",", "\[Delta]1"}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", "5"}], "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"mlist2", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"parder", "[", 
        RowBox[{"parpos1", ",", 
         RowBox[{"matrixlist", "[", 
          RowBox[{"[", "i", "]"}], "]"}], ",", 
         RowBox[{"-", "\[Delta]1"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", "5"}], "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", 
    RowBox[{"mlist11", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"parcur", "[", 
        RowBox[{"parpos1", ",", "parpos2", ",", 
         RowBox[{"matrixlist", "[", 
          RowBox[{"[", "i", "]"}], "]"}], ",", "\[Delta]1", ",", 
         "\[Delta]2"}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", "5"}], "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"mlist12", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"parcur", "[", 
        RowBox[{"parpos1", ",", "parpos2", ",", 
         RowBox[{"matrixlist", "[", 
          RowBox[{"[", "i", "]"}], "]"}], ",", 
         RowBox[{"-", "\[Delta]1"}], ",", "\[Delta]2"}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", "5"}], "}"}]}], "]"}]}], ";", 
    RowBox[{"mlist21", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"parcur", "[", 
        RowBox[{"parpos1", ",", "parpos2", ",", 
         RowBox[{"matrixlist", "[", 
          RowBox[{"[", "i", "]"}], "]"}], ",", "\[Delta]1", ",", 
         RowBox[{"-", "\[Delta]2"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", "5"}], "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"mlist22", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"parcur", "[", 
        RowBox[{"parpos1", ",", "parpos2", ",", 
         RowBox[{"matrixlist", "[", 
          RowBox[{"[", "i", "]"}], "]"}], ",", 
         RowBox[{"-", "\[Delta]1"}], ",", 
         RowBox[{"-", "\[Delta]2"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", "5"}], "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"(*", 
     RowBox[{"get", " ", "new", " ", "time", " ", "series"}], "*)"}], 
    "\[IndentingNewLine]", "\[IndentingNewLine]", 
    RowBox[{"tseries1", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{
         RowBox[{"sampleset", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "i", ",", "1"}], "]"}], "]"}], ",", 
         RowBox[{"mlist1", "[", 
          RowBox[{"[", 
           RowBox[{"i", ",", "j", ",", "k"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"j", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"matrixlist", "[", 
           RowBox[{"[", "1", "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"Transpose", "[", 
           RowBox[{"matrixlist", "[", 
            RowBox[{"[", "1", "]"}], "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}], "]"}]}], 
        "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"tseries2", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{
         RowBox[{"sampleset", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "i", ",", "1"}], "]"}], "]"}], ",", 
         RowBox[{"mlist2", "[", 
          RowBox[{"[", 
           RowBox[{"i", ",", "j", ",", "k"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"j", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"matrixlist", "[", 
           RowBox[{"[", "1", "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"Transpose", "[", 
           RowBox[{"matrixlist", "[", 
            RowBox[{"[", "1", "]"}], "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}], "]"}]}], 
        "}"}]}], "]"}]}], ";", 
    RowBox[{"tseries11", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{
         RowBox[{"sampleset", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "i", ",", "1"}], "]"}], "]"}], ",", 
         RowBox[{"mlist11", "[", 
          RowBox[{"[", 
           RowBox[{"i", ",", "j", ",", "k"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"j", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"matrixlist", "[", 
           RowBox[{"[", "1", "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"Transpose", "[", 
           RowBox[{"matrixlist", "[", 
            RowBox[{"[", "1", "]"}], "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}], "]"}]}], 
        "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"tseries12", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{
         RowBox[{"sampleset", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "i", ",", "1"}], "]"}], "]"}], ",", 
         RowBox[{"mlist12", "[", 
          RowBox[{"[", 
           RowBox[{"i", ",", "j", ",", "k"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"j", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"matrixlist", "[", 
           RowBox[{"[", "1", "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"Transpose", "[", 
           RowBox[{"matrixlist", "[", 
            RowBox[{"[", "1", "]"}], "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}], "]"}]}], 
        "}"}]}], "]"}]}], ";", 
    RowBox[{"tseries21", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{
         RowBox[{"sampleset", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "i", ",", "1"}], "]"}], "]"}], ",", 
         RowBox[{"mlist21", "[", 
          RowBox[{"[", 
           RowBox[{"i", ",", "j", ",", "k"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"j", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"matrixlist", "[", 
           RowBox[{"[", "1", "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"Transpose", "[", 
           RowBox[{"matrixlist", "[", 
            RowBox[{"[", "1", "]"}], "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}], "]"}]}], 
        "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"tseries22", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{
         RowBox[{"sampleset", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "i", ",", "1"}], "]"}], "]"}], ",", 
         RowBox[{"mlist22", "[", 
          RowBox[{"[", 
           RowBox[{"i", ",", "j", ",", "k"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"j", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"matrixlist", "[", 
           RowBox[{"[", "1", "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"Transpose", "[", 
           RowBox[{"matrixlist", "[", 
            RowBox[{"[", "1", "]"}], "]"}], "]"}], "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", 
         RowBox[{"Length", "[", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}], "]"}]}], 
        "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", 
    RowBox[{"(*", 
     RowBox[{"interpolate", " ", "both", " ", "time", " ", "series"}], "*)"}],
     "\[IndentingNewLine]", "\n", 
    RowBox[{"tmat1", "=", 
     RowBox[{"model", "*", 
      RowBox[{"Map", "[", 
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"Interpolation", "[", 
           RowBox[{"#", ",", 
            RowBox[{"InterpolationOrder", "\[Rule]", "1"}]}], "]"}], "[", "t",
           "]"}], "&"}], ",", "tseries1", ",", 
        RowBox[{"{", "2", "}"}]}], "]"}]}]}], ";", 
    RowBox[{"tmat2", "=", 
     RowBox[{"model", "*", 
      RowBox[{"Map", "[", 
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"Interpolation", "[", 
           RowBox[{"#", ",", 
            RowBox[{"InterpolationOrder", "\[Rule]", "1"}]}], "]"}], "[", "t",
           "]"}], "&"}], ",", "tseries2", ",", 
        RowBox[{"{", "2", "}"}]}], "]"}]}]}], ";", 
    RowBox[{"tmat11", "=", 
     RowBox[{"model", "*", 
      RowBox[{"Map", "[", 
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"Interpolation", "[", 
           RowBox[{"#", ",", 
            RowBox[{"InterpolationOrder", "\[Rule]", "1"}]}], "]"}], "[", "t",
           "]"}], "&"}], ",", "tseries11", ",", 
        RowBox[{"{", "2", "}"}]}], "]"}]}]}], ";", 
    RowBox[{"tmat12", "=", 
     RowBox[{"model", "*", 
      RowBox[{"Map", "[", 
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"Interpolation", "[", 
           RowBox[{"#", ",", 
            RowBox[{"InterpolationOrder", "\[Rule]", "1"}]}], "]"}], "[", "t",
           "]"}], "&"}], ",", "tseries12", ",", 
        RowBox[{"{", "2", "}"}]}], "]"}]}]}], ";", 
    RowBox[{"tmat21", "=", 
     RowBox[{"model", "*", 
      RowBox[{"Map", "[", 
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"Interpolation", "[", 
           RowBox[{"#", ",", 
            RowBox[{"InterpolationOrder", "\[Rule]", "1"}]}], "]"}], "[", "t",
           "]"}], "&"}], ",", "tseries21", ",", 
        RowBox[{"{", "2", "}"}]}], "]"}]}]}], ";", 
    RowBox[{"tmat22", "=", 
     RowBox[{"model", "*", 
      RowBox[{"Map", "[", 
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"Interpolation", "[", 
           RowBox[{"#", ",", 
            RowBox[{"InterpolationOrder", "\[Rule]", "1"}]}], "]"}], "[", "t",
           "]"}], "&"}], ",", "tseries22", ",", 
        RowBox[{"{", "2", "}"}]}], "]"}]}]}], ";", 
    RowBox[{"(*", 
     RowBox[{"solve", " ", 
      RowBox[{"ode", "'"}], "s", " ", "to", " ", "get", " ", "solutions", " ",
       "corresponding", " ", "to", " ", "perturbation", " ", "of", " ", "a", 
      " ", "parameter"}], "*)"}], "\[IndentingNewLine]", "\n", 
    RowBox[{"odes1", "=", 
     RowBox[{"Join", "[", 
      RowBox[{
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"D", "[", 
           RowBox[{
            RowBox[{"funs", "[", 
             RowBox[{"[", "i", "]"}], "]"}], ",", "t"}], "]"}], "==", 
          RowBox[{"Sum", "[", 
           RowBox[{
            RowBox[{
             RowBox[{"tmat1", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", "j"}], "]"}], "]"}], "*", 
             RowBox[{"funs", "[", 
              RowBox[{"[", "j", "]"}], "]"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"j", ",", 
              RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}]}], ",", "\n", 
         RowBox[{"{", 
          RowBox[{"i", ",", "2", ",", 
           RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}], ",", "\n", 
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{
           RowBox[{"funns", "[", 
            RowBox[{"[", "i", "]"}], "]"}], "[", "init", "]"}], "\[Equal]", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"i", ",", "1", ",", "2"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"i", ",", "dim"}], "}"}]}], "]"}]}], "]"}]}], ";", 
    RowBox[{"odes2", "=", 
     RowBox[{"Join", "[", 
      RowBox[{
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"D", "[", 
           RowBox[{
            RowBox[{"funs", "[", 
             RowBox[{"[", "i", "]"}], "]"}], ",", "t"}], "]"}], "==", 
          RowBox[{"Sum", "[", 
           RowBox[{
            RowBox[{
             RowBox[{"tmat2", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", "j"}], "]"}], "]"}], "*", 
             RowBox[{"funs", "[", 
              RowBox[{"[", "j", "]"}], "]"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"j", ",", 
              RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}]}], ",", "\n", 
         RowBox[{"{", 
          RowBox[{"i", ",", "2", ",", 
           RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}], ",", "\n", 
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{
           RowBox[{"funns", "[", 
            RowBox[{"[", "i", "]"}], "]"}], "[", "init", "]"}], "\[Equal]", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"i", ",", "1", ",", "2"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"i", ",", "dim"}], "}"}]}], "]"}]}], "]"}]}], ";", 
    RowBox[{"odes11", "=", 
     RowBox[{"Join", "[", 
      RowBox[{
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"D", "[", 
           RowBox[{
            RowBox[{"funs", "[", 
             RowBox[{"[", "i", "]"}], "]"}], ",", "t"}], "]"}], "==", 
          RowBox[{"Sum", "[", 
           RowBox[{
            RowBox[{
             RowBox[{"tmat11", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", "j"}], "]"}], "]"}], "*", 
             RowBox[{"funs", "[", 
              RowBox[{"[", "j", "]"}], "]"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"j", ",", 
              RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}]}], ",", "\n", 
         RowBox[{"{", 
          RowBox[{"i", ",", "2", ",", 
           RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}], ",", "\n", 
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{
           RowBox[{"funns", "[", 
            RowBox[{"[", "i", "]"}], "]"}], "[", "init", "]"}], "\[Equal]", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"i", ",", "1", ",", "2"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"i", ",", "dim"}], "}"}]}], "]"}]}], "]"}]}], ";", 
    RowBox[{"odes12", "=", 
     RowBox[{"Join", "[", 
      RowBox[{
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"D", "[", 
           RowBox[{
            RowBox[{"funs", "[", 
             RowBox[{"[", "i", "]"}], "]"}], ",", "t"}], "]"}], "==", 
          RowBox[{"Sum", "[", 
           RowBox[{
            RowBox[{
             RowBox[{"tmat12", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", "j"}], "]"}], "]"}], "*", 
             RowBox[{"funs", "[", 
              RowBox[{"[", "j", "]"}], "]"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"j", ",", 
              RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}]}], ",", "\n", 
         RowBox[{"{", 
          RowBox[{"i", ",", "2", ",", 
           RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}], ",", "\n", 
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{
           RowBox[{"funns", "[", 
            RowBox[{"[", "i", "]"}], "]"}], "[", "init", "]"}], "\[Equal]", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"i", ",", "1", ",", "2"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"i", ",", "dim"}], "}"}]}], "]"}]}], "]"}]}], ";", 
    "\[IndentingNewLine]", 
    RowBox[{"odes21", "=", 
     RowBox[{"Join", "[", 
      RowBox[{
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"D", "[", 
           RowBox[{
            RowBox[{"funs", "[", 
             RowBox[{"[", "i", "]"}], "]"}], ",", "t"}], "]"}], "==", 
          RowBox[{"Sum", "[", 
           RowBox[{
            RowBox[{
             RowBox[{"tmat21", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", "j"}], "]"}], "]"}], "*", 
             RowBox[{"funs", "[", 
              RowBox[{"[", "j", "]"}], "]"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"j", ",", 
              RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}]}], ",", "\n", 
         RowBox[{"{", 
          RowBox[{"i", ",", "2", ",", 
           RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}], ",", "\n", 
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{
           RowBox[{"funns", "[", 
            RowBox[{"[", "i", "]"}], "]"}], "[", "init", "]"}], "\[Equal]", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"i", ",", "1", ",", "2"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"i", ",", "dim"}], "}"}]}], "]"}]}], "]"}]}], ";", 
    RowBox[{"odes22", "=", 
     RowBox[{"Join", "[", 
      RowBox[{
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"D", "[", 
           RowBox[{
            RowBox[{"funs", "[", 
             RowBox[{"[", "i", "]"}], "]"}], ",", "t"}], "]"}], "==", 
          RowBox[{"Sum", "[", 
           RowBox[{
            RowBox[{
             RowBox[{"tmat22", "[", 
              RowBox[{"[", 
               RowBox[{"i", ",", "j"}], "]"}], "]"}], "*", 
             RowBox[{"funs", "[", 
              RowBox[{"[", "j", "]"}], "]"}]}], ",", 
            RowBox[{"{", 
             RowBox[{"j", ",", 
              RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}]}], ",", "\n", 
         RowBox[{"{", 
          RowBox[{"i", ",", "2", ",", 
           RowBox[{"dim", "+", "1"}]}], "}"}]}], "]"}], ",", "\n", 
       RowBox[{"Table", "[", 
        RowBox[{
         RowBox[{
          RowBox[{
           RowBox[{"funns", "[", 
            RowBox[{"[", "i", "]"}], "]"}], "[", "init", "]"}], "\[Equal]", 
          RowBox[{"sampleset", "[", 
           RowBox[{"[", 
            RowBox[{"i", ",", "1", ",", "2"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"i", ",", "dim"}], "}"}]}], "]"}]}], "]"}]}], ";", 
    RowBox[{"(*", 
     RowBox[{"compute", " ", "the", " ", "residuals", " ", 
      RowBox[{"w", ".", "r", ".", "t", ".", " ", "real"}], " ", "data", " ", 
      "points"}], "*)"}], "\n", "\[IndentingNewLine]", 
    RowBox[{"sols1", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"NDSolve", "[", 
        RowBox[{"odes1", ",", "funns", ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "init", ",", "end"}], "}"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", "odes1", "]"}]}], "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"functions1", "=", 
     RowBox[{"funns", "/.", 
      RowBox[{"sols1", "[", 
       RowBox[{"[", "1", "]"}], "]"}]}]}], ";", "\n", 
    RowBox[{"residual1", "=", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Table", "[", 
         RowBox[{
          RowBox[{
           RowBox[{"functions1", "[", 
            RowBox[{"[", 
             RowBox[{"1", ",", "i"}], "]"}], "]"}], "[", "t", "]"}], ",", 
          RowBox[{"{", 
           RowBox[{"i", ",", "dim"}], "}"}], ",", 
          RowBox[{"{", 
           RowBox[{"t", ",", 
            RowBox[{"sampleset", "[", 
             RowBox[{"[", 
              RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}]}], "}"}]}], 
         "]"}], "-", 
        RowBox[{"sampleset", "[", 
         RowBox[{"[", 
          RowBox[{"All", ",", "All", ",", "2"}], "]"}], "]"}]}], ",", 
       "\"\<Frobenius\>\""}], "]"}]}], ";", 
    RowBox[{"sols2", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"NDSolve", "[", 
        RowBox[{"odes2", ",", "funns", ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "init", ",", "end"}], "}"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", "odes2", "]"}]}], "}"}]}], "]"}]}], ";", "\n", 
    RowBox[{"functions2", "=", 
     RowBox[{"funns", "/.", 
      RowBox[{"sols2", "[", 
       RowBox[{"[", "1", "]"}], "]"}]}]}], ";", "\n", 
    RowBox[{"residual2", "=", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Table", "[", 
         RowBox[{
          RowBox[{
           RowBox[{"functions2", "[", 
            RowBox[{"[", 
             RowBox[{"1", ",", "i"}], "]"}], "]"}], "[", "t", "]"}], ",", 
          RowBox[{"{", 
           RowBox[{"i", ",", "dim"}], "}"}], ",", 
          RowBox[{"{", 
           RowBox[{"t", ",", 
            RowBox[{"sampleset", "[", 
             RowBox[{"[", 
              RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}]}], "}"}]}], 
         "]"}], "-", 
        RowBox[{"sampleset", "[", 
         RowBox[{"[", 
          RowBox[{"All", ",", "All", ",", "2"}], "]"}], "]"}]}], ",", 
       "\"\<Frobenius\>\""}], "]"}]}], ";", 
    RowBox[{"sols11", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"NDSolve", "[", 
        RowBox[{"odes11", ",", "funns", ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "init", ",", "end"}], "}"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", "odes11", "]"}]}], "}"}]}], "]"}]}], ";", 
    "\n", 
    RowBox[{"functions11", "=", 
     RowBox[{"funns", "/.", 
      RowBox[{"sols11", "[", 
       RowBox[{"[", "1", "]"}], "]"}]}]}], ";", "\n", 
    RowBox[{"residual11", "=", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Table", "[", 
         RowBox[{
          RowBox[{
           RowBox[{"functions11", "[", 
            RowBox[{"[", 
             RowBox[{"1", ",", "i"}], "]"}], "]"}], "[", "t", "]"}], ",", 
          RowBox[{"{", 
           RowBox[{"i", ",", "dim"}], "}"}], ",", 
          RowBox[{"{", 
           RowBox[{"t", ",", 
            RowBox[{"sampleset", "[", 
             RowBox[{"[", 
              RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}]}], "}"}]}], 
         "]"}], "-", 
        RowBox[{"sampleset", "[", 
         RowBox[{"[", 
          RowBox[{"All", ",", "All", ",", "2"}], "]"}], "]"}]}], ",", 
       "\"\<Frobenius\>\""}], "]"}]}], ";", 
    RowBox[{"sols12", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"NDSolve", "[", 
        RowBox[{"odes12", ",", "funns", ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "init", ",", "end"}], "}"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", "odes12", "]"}]}], "}"}]}], "]"}]}], ";", 
    "\n", 
    RowBox[{"functions12", "=", 
     RowBox[{"funns", "/.", 
      RowBox[{"sols12", "[", 
       RowBox[{"[", "1", "]"}], "]"}]}]}], ";", "\n", 
    RowBox[{"residual12", "=", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Table", "[", 
         RowBox[{
          RowBox[{
           RowBox[{"functions12", "[", 
            RowBox[{"[", 
             RowBox[{"1", ",", "i"}], "]"}], "]"}], "[", "t", "]"}], ",", 
          RowBox[{"{", 
           RowBox[{"i", ",", "dim"}], "}"}], ",", 
          RowBox[{"{", 
           RowBox[{"t", ",", 
            RowBox[{"sampleset", "[", 
             RowBox[{"[", 
              RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}]}], "}"}]}], 
         "]"}], "-", 
        RowBox[{"sampleset", "[", 
         RowBox[{"[", 
          RowBox[{"All", ",", "All", ",", "2"}], "]"}], "]"}]}], ",", 
       "\"\<Frobenius\>\""}], "]"}]}], ";", "\[IndentingNewLine]", 
    RowBox[{"sols21", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"NDSolve", "[", 
        RowBox[{"odes21", ",", "funns", ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "init", ",", "end"}], "}"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", "odes21", "]"}]}], "}"}]}], "]"}]}], ";", 
    "\n", 
    RowBox[{"functions21", "=", 
     RowBox[{"funns", "/.", 
      RowBox[{"sols21", "[", 
       RowBox[{"[", "1", "]"}], "]"}]}]}], ";", "\n", 
    RowBox[{"residual21", "=", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Table", "[", 
         RowBox[{
          RowBox[{
           RowBox[{"functions21", "[", 
            RowBox[{"[", 
             RowBox[{"1", ",", "i"}], "]"}], "]"}], "[", "t", "]"}], ",", 
          RowBox[{"{", 
           RowBox[{"i", ",", "dim"}], "}"}], ",", 
          RowBox[{"{", 
           RowBox[{"t", ",", 
            RowBox[{"sampleset", "[", 
             RowBox[{"[", 
              RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}]}], "}"}]}], 
         "]"}], "-", 
        RowBox[{"sampleset", "[", 
         RowBox[{"[", 
          RowBox[{"All", ",", "All", ",", "2"}], "]"}], "]"}]}], ",", 
       "\"\<Frobenius\>\""}], "]"}]}], ";", 
    RowBox[{"sols22", "=", 
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"NDSolve", "[", 
        RowBox[{"odes22", ",", "funns", ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "init", ",", "end"}], "}"}]}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", "odes22", "]"}]}], "}"}]}], "]"}]}], ";", 
    "\n", 
    RowBox[{"functions22", "=", 
     RowBox[{"funns", "/.", 
      RowBox[{"sols22", "[", 
       RowBox[{"[", "1", "]"}], "]"}]}]}], ";", "\n", 
    RowBox[{"residual22", "=", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Table", "[", 
         RowBox[{
          RowBox[{
           RowBox[{"functions22", "[", 
            RowBox[{"[", 
             RowBox[{"1", ",", "i"}], "]"}], "]"}], "[", "t", "]"}], ",", 
          RowBox[{"{", 
           RowBox[{"i", ",", "dim"}], "}"}], ",", 
          RowBox[{"{", 
           RowBox[{"t", ",", 
            RowBox[{"sampleset", "[", 
             RowBox[{"[", 
              RowBox[{"1", ",", "All", ",", "1"}], "]"}], "]"}]}], "}"}]}], 
         "]"}], "-", 
        RowBox[{"sampleset", "[", 
         RowBox[{"[", 
          RowBox[{"All", ",", "All", ",", "2"}], "]"}], "]"}]}], ",", 
       "\"\<Frobenius\>\""}], "]"}]}], ";", 
    RowBox[{"(*", 
     RowBox[{
     "take", " ", "the", " ", "average", " ", "as", " ", "a", " ", 
      "derivative", " ", 
      RowBox[{"w", ".", "r", ".", "t", ".", " ", "a"}], " ", "parameter"}], 
     "*)"}], 
    RowBox[{"{", 
     RowBox[{
      RowBox[{
       RowBox[{"1", "/", "7"}], "*", 
       RowBox[{"1", "/", "5"}], "*", 
       RowBox[{
        RowBox[{"(", 
         RowBox[{"residual1", "-", "residual2"}], ")"}], "/", 
        RowBox[{"(", 
         RowBox[{"2", "*", "\[Delta]1"}], ")"}]}]}], ",", 
      RowBox[{
       RowBox[{"1", "/", "7"}], "*", 
       RowBox[{"1", "/", "5"}], "*", 
       RowBox[{
        RowBox[{"(", 
         RowBox[{
         "residual11", "-", "residual12", "-", "residual21", "+", 
          "residual22"}], ")"}], "/", 
        RowBox[{"(", 
         RowBox[{"4", "*", "\[Delta]1", "*", "\[Delta]2"}], ")"}]}]}]}], 
     "}"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.558763229202735*^9, 3.5587632344911685`*^9}, {
  3.5587640624082727`*^9, 3.558764074264425*^9}, {3.5587647004923215`*^9, 
  3.558764761608028*^9}, {3.5587648223805633`*^9, 3.558764832051757*^9}, {
  3.55876488193792*^9, 3.558764897506321*^9}, {3.5587651016426864`*^9, 
  3.5587651019858775`*^9}, {3.55876610410238*^9, 3.5587661045079803`*^9}, {
  3.5587690860140204`*^9, 3.55876912393762*^9}, {3.5587710273127403`*^9, 
  3.5587710397929*^9}, {3.5587734451014237`*^9, 3.5587734458502235`*^9}}]
}, Closed]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Eigenvalues for the current data", "Subsection",
 CellChangeTimes->{{3.5587732870114126`*^9, 3.5587732997253313`*^9}, {
  3.6767819486342545`*^9, 3.676781967824281*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"hess", "=", 
  RowBox[{"Table", "[", 
   RowBox[{
    RowBox[{
     RowBox[{"hessian", "[", 
      RowBox[{"m", ",", "l"}], "]"}], "[", 
     RowBox[{"[", "2", "]"}], "]"}], ",", 
    RowBox[{"{", 
     RowBox[{"m", ",", "7"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"l", ",", "7"}], "}"}]}], "]"}], 
  RowBox[{"(*", "*)"}]}]], "Input",
 CellChangeTimes->{{3.5587647696413584`*^9, 3.558764792290671*^9}, {
   3.55876512959717*^9, 3.5587651388477325`*^9}, {3.55876612542758*^9, 
   3.5587661265507803`*^9}, {3.5587733032509084`*^9, 3.558773303313308*^9}, {
   3.558773453166624*^9, 3.5587734533538237`*^9}, 3.6767803769220543`*^9}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"0.`", ",", "8659.252159759488`", ",", 
     RowBox[{"-", "0.03857231994126258`"}], ",", 
     RowBox[{"-", "959.1486462211053`"}], ",", 
     RowBox[{"-", "9694.792676587635`"}], ",", 
     RowBox[{"-", "0.015225915766287861`"}], ",", "2.1458390619955026`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"8659.252159759488`", ",", "0.`", ",", 
     RowBox[{"-", "0.15692843849787355`"}], ",", 
     RowBox[{"-", "63.274642668277785`"}], ",", "10988.67536646659`", ",", 
     RowBox[{"-", "0.023549416385191892`"}], ",", "26.745640622851038`"}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.03857231994126258`"}], ",", 
     RowBox[{"-", "0.15692843849787355`"}], ",", "0.`", ",", 
     "0.0022331343123888864`", ",", 
     RowBox[{"-", "0.06536993168992922`"}], ",", "0.008526512829121202`", ",",
      "0.003451207573691915`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "959.1486462211053`"}], ",", 
     RowBox[{"-", "63.274642668277785`"}], ",", "0.0022331343123888864`", ",",
      "0.`", ",", 
     RowBox[{"-", "6.139901285808134`"}], ",", "0.`", ",", 
     "0.00040602442043434294`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "9694.792676587635`"}], ",", "10988.67536646659`", ",", 
     RowBox[{"-", "0.06536993168992922`"}], ",", 
     RowBox[{"-", "6.139901285808134`"}], ",", "0.`", ",", "0.`", ",", 
     RowBox[{"-", "0.008120488408686859`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "0.015225915766287861`"}], ",", 
     RowBox[{"-", "0.023549416385191892`"}], ",", "0.008526512829121202`", 
     ",", "0.`", ",", "0.`", ",", "0.`", ",", 
     RowBox[{"-", "0.00040602442043434294`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
    "2.1458390619955026`", ",", "26.745640622851038`", ",", 
     "0.003451207573691915`", ",", "0.00040602442043434294`", ",", 
     RowBox[{"-", "0.008120488408686859`"}], ",", 
     RowBox[{"-", "0.00040602442043434294`"}], ",", "0.`"}], "}"}]}], 
  "}"}]], "Output",
 CellChangeTimes->{3.558765190217881*^9, 3.55876612244798*^9, 
  3.55876617870158*^9, 3.55876919647762*^9, 3.5587693554117503`*^9, 
  3.5587711207911386`*^9, 3.5587735076730237`*^9, 3.5587743491259203`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Eigenvectors", "[", "hess", "]"}], "//", "MatrixForm", 
  RowBox[{"(*", 
   RowBox[{"cotyledon", " ", "control"}], "*)"}]}]], "Input",
 CellChangeTimes->{{3.5587743036516285`*^9, 3.558774305554841*^9}, 
   3.6767804624721737`*^9}],

Cell[BoxData[
 TagBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {
      RowBox[{"-", "0.5529634149165903`"}], "0.5794304228084121`", 
      "1.558459326712124`*^-6", 
      RowBox[{"-", "0.02536936398700895`"}], 
      RowBox[{"-", "0.5982037354494459`"}], "2.665331025886175`*^-7", 
      RowBox[{"-", "0.000730171604217058`"}]},
     {
      RowBox[{"-", "0.20518463765749936`"}], "0.6016405302318326`", 
      RowBox[{"-", "0.00001228780765735312`"}], "0.013820250819178979`", 
      "0.7718386917374346`", 
      RowBox[{"-", "9.912166855086113`*^-7"}], "0.0014040313698337379`"},
     {
      RowBox[{"-", "0.8049140040762789`"}], 
      RowBox[{"-", "0.5467075349906888`"}], "0.000012109665692258724`", 
      "0.09442042000859152`", "0.21048854192225816`", 
      "2.946468520836909`*^-6", 
      RowBox[{"-", "0.0019170487250343559`"}]},
     {
      RowBox[{"-", "0.06514731072451992`"}], 
      RowBox[{"-", "0.05830890082859663`"}], 
      RowBox[{"-", "0.00009857670848596132`"}], 
      RowBox[{"-", "0.9947816493801205`"}], "0.045898017521901466`", 
      RowBox[{"-", "0.00003553490070566656`"}], "0.0256657564383589`"},
     {
      RowBox[{"-", "2.5560555364997906`*^-6"}], 
      RowBox[{"-", "2.3154585665485783`*^-6"}], "0.7038237604362831`", 
      RowBox[{"-", "0.007230654688619076`"}], "0.0006496250318750548`", 
      RowBox[{"-", "0.652983614572053`"}], 
      RowBox[{"-", "0.2796279831382112`"}]},
     {"4.877919127593833`*^-6", "0.000012659318370245032`", 
      "0.710374621690639`", "0.007025713556173578`", 
      RowBox[{"-", "0.0006262879722006965`"}], "0.646943724399255`", 
      "0.27709558142751445`"},
     {"0.000012250342760297683`", "0.000024685420321468587`", 
      RowBox[{"-", "0.00003295118845073485`"}], "0.023622179449793106`", 
      RowBox[{"-", "0.0021109924370606966`"}], 
      RowBox[{"-", "0.3937971753179205`"}], "0.9188913533249607`"}
    },
    GridBoxAlignment->{
     "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, 
      "RowsIndexed" -> {}},
    GridBoxSpacings->{"Columns" -> {
        Offset[0.27999999999999997`], {
         Offset[0.7]}, 
        Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> {
        Offset[0.2], {
         Offset[0.4]}, 
        Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}],
  Function[BoxForm`e$, 
   MatrixForm[BoxForm`e$]]]], "Output",
 CellChangeTimes->{3.5587743776585035`*^9}]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ListPlot", "[", 
  RowBox[{
   RowBox[{"Eigenvalues", "[", "hess", "]"}], ",", 
   RowBox[{"PlotRange", "\[Rule]", "All"}], ",", 
   RowBox[{"AspectRatio", "\[Rule]", 
    RowBox[{"1", "/", "2"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.5587651994686217`*^9, 3.5587652061921787`*^9}, {
   3.5587655428541803`*^9, 3.55876554347818*^9}, {3.55876580096378*^9, 
   3.5587658423817797`*^9}, {3.55876593816518*^9, 3.55876595111318*^9}, {
   3.5587661344131804`*^9, 3.5587661358639803`*^9}, 3.55876621029158*^9, {
   3.5587731101397467`*^9, 3.558773111450138*^9}, {3.5587732334101562`*^9, 
   3.5587732374193306`*^9}, {3.558773541275424*^9, 3.5587735421178236`*^9}, {
   3.558773603254224*^9, 3.558773608792224*^9}, {3.558773695138528*^9, 
   3.5587737242951155`*^9}, 3.6767804808321996`*^9}],

Cell[CellGroupData[{

Cell["perturbations", "Subsubsection",
 CellChangeTimes->{{3.558243979012146*^9, 3.5582439895265646`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"news", "=", 
   RowBox[{"Table", "[", 
    RowBox[{
     RowBox[{"vary", "[", 
      RowBox[{
       RowBox[{"pos", "[", 
        RowBox[{"[", "i", "]"}], "]"}], ",", "matrixlist", ",", "model", ",", 
       "sampleset"}], "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"i", ",", 
       RowBox[{"Length", "[", "pos", "]"}]}], "}"}]}], "]"}]}], 
  ";"}]], "Input",
 CellChangeTimes->{{3.5580779666117845`*^9, 3.5580779956905575`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic1", "=", 
   RowBox[{"Plot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"news", "[", 
       RowBox[{"[", 
        RowBox[{"1", ",", "2", ",", "1", ",", "1"}], "]"}], "]"}], "[", "t", 
      "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
     RowBox[{"PlotRange", "->", "All"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
        RowBox[{"1", "/", 
         RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}], ",", 
     RowBox[{"PlotLabel", "\[Rule]", 
      RowBox[{"text", "[", 
       RowBox[{"\"\<parameter varied\>\"", ",", "Medium"}], "]"}]}], ",", 
     RowBox[{"Frame", "\[Rule]", "True"}], ",", 
     RowBox[{"FrameTicks", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"Automatic", ",", "None"}], "}"}], ",", 
        RowBox[{"{", 
         RowBox[{"Automatic", ",", "None"}], "}"}]}], "}"}]}], ",", 
     RowBox[{"FrameTicksStyle", "\[Rule]", 
      RowBox[{"Directive", "[", "10", "]"}]}], ",", 
     RowBox[{"FrameLabel", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"text", "[", 
         RowBox[{"\"\<days\>\"", ",", "Medium"}], "]"}], ",", 
        RowBox[{"text", "[", 
         RowBox[{"\"\<concentration\>\"", ",", "Medium"}], "]"}]}], "}"}]}]}],
     "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.5582448898868427`*^9, 3.558244904098468*^9}, {
   3.5582449361409245`*^9, 3.5582449381065273`*^9}, 3.558245032159093*^9, {
   3.5593635604321284`*^9, 3.559363609712844*^9}, {3.559363664203994*^9, 
   3.559363728772807*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic2", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"newplotmean", "[", 
       RowBox[{
        RowBox[{"Range", "[", 
         RowBox[{"5", ",", "9"}], "]"}], ",", 
        RowBox[{"bigdata", "[", 
         RowBox[{"[", "i", "]"}], "]"}], ",", 
        RowBox[{
         RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
         RowBox[{"i", "/", 
          RowBox[{
           RowBox[{"Dimensions", "[", "data", "]"}], "[", 
           RowBox[{"[", "1", "]"}], "]"}]}], "]"}], ",", "0.015", ",", 
        RowBox[{"Opacity", "[", "0.", "]"}], ",", 
        RowBox[{
         RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
         RowBox[{"i", "/", 
          RowBox[{
           RowBox[{"Dimensions", "[", "data", "]"}], "[", 
           RowBox[{"[", "1", "]"}], "]"}]}], "]"}], ",", ".06", ",", 
        "\"\<\>\""}], "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"i", ",", "dim"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.558244948698946*^9, 3.5582449710537853`*^9}, 
   3.5582450263558826`*^9}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic3", "=", 
   RowBox[{"Show", "[", 
    RowBox[{
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"Plot", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"result", "[", 
           RowBox[{"[", 
            RowBox[{"2", ",", "k"}], "]"}], "]"}], "[", "t", "]"}], ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
         RowBox[{"PlotRange", "->", "All"}], ",", 
         RowBox[{"PlotStyle", "\[Rule]", 
          RowBox[{"{", 
           RowBox[{
            RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
            RowBox[{"k", "/", 
             RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
        "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", "sampleset", "]"}]}], "}"}]}], "]"}], ",", 
     RowBox[{"Axes", "\[Rule]", "None"}]}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.55824499645063*^9, 3.558245022736676*^9}, {
  3.5593633283962407`*^9, 3.5593633299250507`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic41", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"Plot", "[", 
       RowBox[{
        RowBox[{
         RowBox[{"news", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "2", ",", "k", ",", "1"}], "]"}], "]"}], "[", 
         "t", "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
        RowBox[{"PlotRange", "->", "All"}], ",", 
        RowBox[{"Axes", "\[Rule]", "None"}], ",", 
        RowBox[{"PlotStyle", "\[Rule]", 
         RowBox[{"{", 
          RowBox[{
           RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
           RowBox[{"1", "/", 
            RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
       "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"k", ",", "10"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.558245063218747*^9, 3.558245079395976*^9}, {
   3.5582451287546644`*^9, 3.5582451609531207`*^9}, {3.5582453416538644`*^9, 
   3.558245376005125*^9}, {3.5582454351292286`*^9, 3.558245439263236*^9}, 
   3.558247895389469*^9}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic42", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"Plot", "[", 
       RowBox[{
        RowBox[{
         RowBox[{"news", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "2", ",", "k", ",", "2"}], "]"}], "]"}], "[", 
         "t", "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
        RowBox[{"PlotRange", "->", "All"}], ",", 
        RowBox[{"Axes", "\[Rule]", "None"}], ",", 
        RowBox[{"PlotStyle", "\[Rule]", 
         RowBox[{"{", 
          RowBox[{
           RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
           RowBox[{"2", "/", 
            RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
       "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"k", ",", "10"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.558245063218747*^9, 3.558245079395976*^9}, {
   3.5582451287546644`*^9, 3.5582451609531207`*^9}, {3.5582453416538644`*^9, 
   3.558245376005125*^9}, {3.5582454351292286`*^9, 3.558245439263236*^9}, {
   3.5582455089329586`*^9, 3.558245514408568*^9}, 3.558247891645463*^9}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic43", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"Plot", "[", 
       RowBox[{
        RowBox[{
         RowBox[{"news", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "2", ",", "k", ",", "3"}], "]"}], "]"}], "[", 
         "t", "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
        RowBox[{"PlotRange", "->", "All"}], ",", 
        RowBox[{"Axes", "\[Rule]", "None"}], ",", 
        RowBox[{"PlotStyle", "\[Rule]", 
         RowBox[{"{", 
          RowBox[{
           RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
           RowBox[{"3", "/", 
            RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
       "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"k", ",", "10"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.55824552688859*^9, 3.558245531630998*^9}, 
   3.5582478870434546`*^9}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic44", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"Plot", "[", 
       RowBox[{
        RowBox[{
         RowBox[{"news", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "2", ",", "k", ",", "4"}], "]"}], "]"}], "[", 
         "t", "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
        RowBox[{"PlotRange", "->", "All"}], ",", 
        RowBox[{"Axes", "\[Rule]", "None"}], ",", 
        RowBox[{"PlotStyle", "\[Rule]", 
         RowBox[{"{", 
          RowBox[{
           RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
           RowBox[{"4", "/", 
            RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
       "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"k", ",", "10"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.5582455401798134`*^9, 3.5582455512558327`*^9}, 
   3.558247883377448*^9}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic45", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"Plot", "[", 
       RowBox[{
        RowBox[{
         RowBox[{"news", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "2", ",", "k", ",", "5"}], "]"}], "]"}], "[", 
         "t", "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
        RowBox[{"PlotRange", "->", "All"}], ",", 
        RowBox[{"Axes", "\[Rule]", "None"}], ",", 
        RowBox[{"PlotStyle", "\[Rule]", 
         RowBox[{"{", 
          RowBox[{
           RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
           RowBox[{"5", "/", 
            RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
       "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"k", ",", "10"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.558245561832651*^9, 3.558245567308261*^9}, 
   3.5582478788534403`*^9}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic46", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"Plot", "[", 
       RowBox[{
        RowBox[{
         RowBox[{"news", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "2", ",", "k", ",", "6"}], "]"}], "]"}], "[", 
         "t", "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
        RowBox[{"PlotRange", "->", "All"}], ",", 
        RowBox[{"Axes", "\[Rule]", "None"}], ",", 
        RowBox[{"PlotStyle", "\[Rule]", 
         RowBox[{"{", 
          RowBox[{
           RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
           RowBox[{"6", "/", 
            RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
       "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"k", ",", "10"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.5582455738758726`*^9, 3.558245579445082*^9}, 
   3.5582478732218304`*^9}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic47", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"Plot", "[", 
       RowBox[{
        RowBox[{
         RowBox[{"news", "[", 
          RowBox[{"[", 
           RowBox[{"1", ",", "2", ",", "k", ",", "7"}], "]"}], "]"}], "[", 
         "t", "]"}], ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
        RowBox[{"PlotRange", "->", "All"}], ",", 
        RowBox[{"Axes", "\[Rule]", "None"}], ",", 
        RowBox[{"PlotStyle", "\[Rule]", 
         RowBox[{"{", 
          RowBox[{
           RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
           RowBox[{"7", "/", 
            RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
       "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"k", ",", "10"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.5582455841094904`*^9, 3.558245590817502*^9}, 
   3.5582478687758226`*^9}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"fig22", "=", 
  RowBox[{"Show", "[", 
   RowBox[{
   "pic1", ",", "pic2", ",", "pic3", ",", "pic41", ",", "pic42", ",", "pic43",
     ",", "pic44", ",", "pic45", ",", "pic46", ",", "pic47"}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.5582458750809307`*^9, 3.55824590548567*^9}, {
  3.559363351499989*^9, 3.559363353465602*^9}}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV2Hk8VF8UAHCEbJXyhuQNHvHGMpZflrTopGixVCKJhJIQKkJIFIpIoURK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      "]]}}, {{{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 11.903818953323904`}, {6., 15.963224893917962`}, {7., 
        17.96888260254597}, {8., 15.273927392739274`}, {9., 
        12.001885902876003`}}]}}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], PointSize[
      0.015], PointBox[{{5., 11.903818953323904`}, {6., 
       15.963224893917962`}, {7., 17.96888260254597}, {8., 
       15.273927392739274`}, {9., 12.001885902876003`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{5, 10.455445544554456`}, {5, 13.233380480905234`}}], 
      LineBox[{{4.94, 10.455445544554456`}, {5.06, 10.455445544554456`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{6, 15.943422913719944`}, {6, 15.983026874115984`}}], 
      LineBox[{{5.94, 15.943422913719944`}, {6.06, 15.943422913719944`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{7, 16.11881188118812}, {7, 21.623762376237625`}}], 
      LineBox[{{6.94, 16.11881188118812}, {7.06, 16.11881188118812}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{8, 14.336633663366337`}, {8, 16.186704384724187`}}], 
      LineBox[{{7.94, 14.336633663366337`}, {8.06, 14.336633663366337`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{9, 9.171145685997171}, {9, 13.923620933521924`}}], 
      LineBox[{{8.94, 9.171145685997171}, {9.06, 9.171145685997171}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{4.94, 13.233380480905234`}, {5.06, 13.233380480905234`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{5.94, 15.983026874115984`}, {6.06, 15.983026874115984`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{6.94, 21.623762376237625`}, {7.06, 21.623762376237625`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{7.94, 16.186704384724187`}, {8.06, 16.186704384724187`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{8.94, 13.923620933521924`}, {9.06, 
       13.923620933521924`}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 25.536048606450247`}, {6., 51.672612949945254`}, {7., 
        59.10134586174009}, {8., 58.856429639572816`}, {9., 
        47.14637276720007}}]}}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      PointSize[0.015], 
      PointBox[{{5., 25.536048606450247`}, {6., 51.672612949945254`}, {7., 
       59.10134586174009}, {8., 58.856429639572816`}, {9., 
       47.14637276720007}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{5, 21.618566533611222`}, {5, 29.771450775371793`}}], 
      LineBox[{{4.94, 21.618566533611222`}, {5.06, 21.618566533611222`}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{6, 46.564696739552794`}, {6, 56.78052916033771}}], 
      LineBox[{{5.94, 46.564696739552794`}, {6.06, 46.564696739552794`}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{7, 56.82645095199407}, {7, 63.00116570701898}}], 
      LineBox[{{6.94, 56.82645095199407}, {7.06, 56.82645095199407}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{8, 52.262531350453926`}, {8, 67.75583736620864}}], 
      LineBox[{{7.94, 52.262531350453926`}, {8.06, 52.262531350453926`}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{9, 39.76827157441097}, {9, 52.34377759723057}}], 
      LineBox[{{8.94, 39.76827157441097}, {9.06, 39.76827157441097}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{4.94, 29.771450775371793`}, {5.06, 29.771450775371793`}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{5.94, 56.78052916033771}, {6.06, 56.78052916033771}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{6.94, 63.00116570701898}, {7.06, 63.00116570701898}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{7.94, 67.75583736620864}, {8.06, 67.75583736620864}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{8.94, 52.34377759723057}, {9.06, 
       52.34377759723057}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 27.581766381766382`}, {6., 25.574358974358972`}, {7., 
        31.170370370370367`}, {8., 32.872934472934475`}, {9., 
        42.14700854700855}}]}}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], PointSize[
      0.015], PointBox[{{5., 27.581766381766382`}, {6., 
       25.574358974358972`}, {7., 31.170370370370367`}, {8., 
       32.872934472934475`}, {9., 42.14700854700855}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{5, 21.17948717948718}, {5, 39.9008547008547}}], 
      LineBox[{{4.94, 21.17948717948718}, {5.06, 21.17948717948718}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{6, 25.162393162393162`}, {6, 25.986324786324786`}}], 
      LineBox[{{5.94, 25.162393162393162`}, {6.06, 25.162393162393162`}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{7, 28.553846153846155`}, {7, 34.34871794871795}}], 
      LineBox[{{6.94, 28.553846153846155`}, {7.06, 28.553846153846155`}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{8, 26.926495726495727`}, {8, 38.53333333333333}}], 
      LineBox[{{7.94, 26.926495726495727`}, {8.06, 26.926495726495727`}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{9, 40.}, {9, 45.87692307692308}}], 
      LineBox[{{8.94, 40.}, {9.06, 40.}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{4.94, 39.9008547008547}, {5.06, 39.9008547008547}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{5.94, 25.986324786324786`}, {6.06, 25.986324786324786`}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{6.94, 34.34871794871795}, {7.06, 34.34871794871795}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{7.94, 38.53333333333333}, {8.06, 38.53333333333333}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{8.94, 45.87692307692308}, {9.06, 
       45.87692307692308}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 1.28020770920711}, {6., 1.5937687237866989`}, {7., 
        1.88935490313561}, {8., 1.8214499700419413`}, {9., 
        1.543838625923707}}]}}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], PointSize[
      0.015], PointBox[{{5., 1.28020770920711}, {6., 1.5937687237866989`}, {
       7., 1.88935490313561}, {8., 1.8214499700419413`}, {9., 
       1.543838625923707}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{5, 1.0185739964050329`}, {5, 1.414020371479928}}], 
      LineBox[{{4.94, 1.0185739964050329`}, {5.06, 1.0185739964050329`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{6, 1.5877771120431396`}, {6, 1.5997603355302576`}}], 
      LineBox[{{5.94, 1.5877771120431396`}, {6.06, 1.5877771120431396`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{7, 1.761533852606351}, {7, 2.0131815458358298`}}], 
      LineBox[{{6.94, 1.761533852606351}, {7.06, 1.761533852606351}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{8, 1.5997603355302576`}, {8, 2.0071899340922705`}}], 
      LineBox[{{7.94, 1.5997603355302576`}, {8.06, 1.5997603355302576`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{9, 1.2822049131216298`}, {9, 1.6836428999400839`}}], 
      LineBox[{{8.94, 1.2822049131216298`}, {9.06, 1.2822049131216298`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{4.94, 1.414020371479928}, {5.06, 1.414020371479928}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{5.94, 1.5997603355302576`}, {6.06, 1.5997603355302576`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{6.94, 2.0131815458358298`}, {7.06, 2.0131815458358298`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{7.94, 2.0071899340922705`}, {8.06, 2.0071899340922705`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{8.94, 1.6836428999400839`}, {9.06, 
       1.6836428999400839`}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 0.6416264148222911}, {6., 0.8164515896474659}, {7., 
        1.092206762309855}, {8., 0.8506956960565207}, {9., 
        0.8543003388364213}}]}}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      PointSize[0.015], 
      PointBox[{{5., 0.6416264148222911}, {6., 0.8164515896474659}, {7., 
       1.092206762309855}, {8., 0.8506956960565207}, {9., 
       0.8543003388364213}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{5, 0.5046499891860716}, {5, 0.7569749837791074}}], 
      LineBox[{{4.94, 0.5046499891860716}, {5.06, 0.5046499891860716}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{6, 0.7713935548987095}, {6, 0.8615096243962223}}], 
      LineBox[{{5.94, 0.7713935548987095}, {6.06, 0.7713935548987095}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{7, 1.0020906928123423`}, {7, 1.1390671184485617`}}], 
      LineBox[{{6.94, 1.0020906928123423`}, {7.06, 1.0020906928123423`}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{8, 0.7497656982193064}, {8, 1.0092999783721432`}}], 
      LineBox[{{7.94, 0.7497656982193064}, {8.06, 0.7497656982193064}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{9, 0.782207483238411}, {9, 0.8939514094153269}}], 
      LineBox[{{8.94, 0.782207483238411}, {9.06, 0.782207483238411}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{4.94, 0.7569749837791074}, {5.06, 0.7569749837791074}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{5.94, 0.8615096243962223}, {6.06, 0.8615096243962223}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{6.94, 1.1390671184485617`}, {7.06, 1.1390671184485617`}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{7.94, 1.0092999783721432`}, {8.06, 1.0092999783721432`}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{8.94, 0.8939514094153269}, {9.06, 
       0.8939514094153269}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 3.7622656174098896`}, {6., 4.670649956280967}, {7., 
        5.484309725055863}, {8., 5.0106868745749535`}, {9., 
        4.726513164286408}}]}}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], PointSize[
      0.015], PointBox[{{5., 3.7622656174098896`}, {6., 4.670649956280967}, {
       7., 5.484309725055863}, {8., 5.0106868745749535`}, {9., 
       4.726513164286408}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{5, 2.9437481783736517`}, {5, 5.136986301369863}}], 
      LineBox[{{4.94, 2.9437481783736517`}, {5.06, 2.9437481783736517`}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{6, 4.648790440104925}, {6, 4.692509472457009}}], 
      LineBox[{{5.94, 4.648790440104925}, {6.06, 4.648790440104925}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{7, 4.758088020985135}, {7, 5.858350335179248}}], 
      LineBox[{{6.94, 4.758088020985135}, {7.06, 4.758088020985135}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{8, 3.6213931798309527`}, {8, 6.120664529291751}}], 
      LineBox[{{7.94, 3.6213931798309527`}, {8.06, 3.6213931798309527`}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{9, 4.2188866219761}, {9, 5.435733022442436}}], 
      LineBox[{{8.94, 4.2188866219761}, {9.06, 4.2188866219761}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{4.94, 5.136986301369863}, {5.06, 5.136986301369863}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{5.94, 4.692509472457009}, {6.06, 4.692509472457009}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{6.94, 5.858350335179248}, {7.06, 5.858350335179248}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{7.94, 6.120664529291751}, {8.06, 6.120664529291751}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{8.94, 5.435733022442436}, {9.06, 
       5.435733022442436}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 2.05859375}, {6., 2.0107421875}, {7., 
        2.3235677083333335`}, {8., 2.5078125}, {9., 3.0651041666666665`}}]}}, 
     {RGBColor[0.857359, 0.131106, 0.132128], PointSize[0.015], 
      PointBox[{{5., 2.05859375}, {6., 2.0107421875}, {7., 
       2.3235677083333335`}, {8., 2.5078125}, {9., 3.0651041666666665`}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{5, 1.6640625}, {5, 2.748046875}}], 
      LineBox[{{4.94, 1.6640625}, {5.06, 1.6640625}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{6, 2.00390625}, {6, 2.017578125}}], 
      LineBox[{{5.94, 2.00390625}, {6.06, 2.00390625}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{7, 2.083984375}, {7, 2.55859375}}], 
      LineBox[{{6.94, 2.083984375}, {7.06, 2.083984375}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{8, 2.2734375}, {8, 2.6796875}}], 
      LineBox[{{7.94, 2.2734375}, {8.06, 2.2734375}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{9, 3.044921875}, {9, 3.078125}}], 
      LineBox[{{8.94, 3.044921875}, {9.06, 3.044921875}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{4.94, 2.748046875}, {5.06, 2.748046875}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{5.94, 2.017578125}, {6.06, 2.017578125}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{6.94, 2.55859375}, {7.06, 2.55859375}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{7.94, 2.6796875}, {8.06, 2.6796875}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{8.94, 3.078125}, {9.06, 3.078125}}]}}}, {{{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV1nk4VV0bBnCUMms45rP3cZBzjgw7bxGJO0UjL0qUiowloQglJUNEAxnS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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13c8Vf8fB3ASWaVs7jmXq4gyK7LiRcMN535LURpmKFQaqKgImaGUlCih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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV13k8VN8bB3BJi7VkzD0zFEOWIksLudPyWEZUKCn7vhaFEIVSKClLJC1C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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwV13c8VW0cAHArsiX3nO6517iiiDKSivL8qFeoVCpJRmlRkSJEZLTQEBWp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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV13k4lN8XAHBL1pBl3sG8YxnaiKxFJfcoRaRkSVkjoZSEqFBUEvG1FlqU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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwd13k4VG0bAHBRQqIynDBzxlHZEiIKvbpR8iqKbKUNoVApQiq7bEVly54s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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVzn081AcABvCfc+/3K2v9vNwd535CelmozNvS00UpKammd1LUSqth6EyS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       "]]}}}, {{{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV2Hk8VF8UAHCEbJXyhuQNHvHGMpZflrTopGixVCKJhJIQKkJIFIpIoURK
i2QvtIiSKEvZspTs2YUWtCD8jr/m8/1c5tx77r3nvTOUvbupAxcHB4c7JwfH
/KfGMV8eDg4CHlTH73tdQ0My55+bGzkJmHuWVRaKJmI8tM5xETBdyvA2Ro8/
OerIy0NAsUXug45qGnKnbSqFBAgof+ogL4yWiWy1MxEkgJUyntJZRUO05N6p
KCECjpQOOzxCH9+4S0lkCQF/Q5QSzNFq5zdFihMEBEnbPs9+T8Pt5cVyVgwC
EiyrBC6ghdPXFSWKEvDhY+QVe/T3Ks3vUuIEyD8/tFYCbWOTe95uBQH/eZ6y
nnxHQ813Fel7Ejif+NnsZnT2MtYueUkCHhft601ASyYnDzlKEXBCeu3b0+hI
TepsmjQBWU1xDXboo3tX5CnLEtB1qNaTjW4bumbotpKAqYZsHgbayE+k96Ec
AU3FIsUzlTQo3RJirGLh+kays+rRCaphWZ4KBHTTgp1FaIHXPAZPFQn4oaqo
lYn2NT3b8UeJAMVs0dwE9NeeWS8dNgErjVp3haP3nfRb4qdCgG/eWcIPXcn7
98ELVQLkPslPHkWvvu4Js2oE3B3tnz2ATlX42bzhPwJUi5tWmqGXF7oeD1pF
AN9yXudt6AtGX/lLNQhwLQqv3oD+2374LrcWATf8vUy00Y7uPWsMtAkwkmgb
VkV/5LBtOL+aAFvO+mQFtEF0m0ulDgEcEz4+K9FPZS25BddifgPHHaTR8k+a
Eo3WEWCseegoE33NwFTz0noC2Emj4RJo3uaa6lpdAjiNcotXoL2cDA8vBQIO
VjYKzY/3TZXPmm4kYCTZ241Em0VsjovVI0D76MteSfQb5mvVj5sI6MiscJNB
azxcXyGmj/mZKBSk0clQYGtpQEBK3fMCZTRRrzWZsIWAfzW9vqvQwQfzrrRt
xfO6yMZwLXpiQlVRcjsBXw5tUdqMPhiaWXLAkIB7FR/ETdD1YgpWd4wIoDNU
RS3Remn3x7uNCbgSECPlgJapurXy8E4CEou19gSiSX2ZdyW7CGgzS228jBYr
uu8utZuAfju3i3fRQo8yC5rNCUjT67pZiV6ooGaraUHAhc2BfzrQXHfzeKL3
EnBGYn/IL/SfmIKdhlZ4/qlsHXk8b2NCur8fWBMwKSRtA+iRkNc3uG0ICJ6p
ybVCd3tX9L+0JeBQmsDQVXSV1Ud/tcMEqBnyuS3H+1HWaCkT6UjAx4Djk2vR
r43by4eOELBKxSHLFv10Q++yey4EbNolcjELfUd2LJVxHP/+UMaC+fuZmHjS
5MQJAvKo3c+D0NcYk+M1HpiPKNXLD9ERCzk2XPAi4EDgt5uL8f57DS9qmvLD
+I+spVvQxw5d8bU4TYCPSEjZEqwfLu2E9OMAAtwXloYaoG1rJVxcgwgY6Flp
+gxtmKfA2RWK6wOemfu1NEj76bPfXiGAIRfY//QDDRITFfVUDAEibOXKGbSo
q5FPQCwB20/l5OvX0yB4YHepdhwBmRu3FDajf+vZWaYnEqC/7YaOYCMN7wVO
h0Q9wPs9XHLizkcaulJMhZtSCRBdYPlnDD2hx7qxIp0ADdsBK/1PWC/8Gh7d
zyRgnZZfyQj62LBCW2EOAb8sDk7of8b4VR//GywkYDhIwplqo8E+Uq0L6ggQ
0qvp9+mmwVuB1yX0AwHrN/Ga96Ej3rb+el9PgDdf+RXTHhqezIQKWjQR8IYo
91TtpYHPrV3LtYWAITnH+rE+rF8m4ZHxvQQsnWoNSRqiYXJJ75qxvzj+siot
8icNJoVj9upTBGwLDrIXHqPh7mHOi8emCXi6/UFDDHr7S8nWbzMEWL691Z44
jvvpbOk3zMWA6Cdcoc9+0QBvawp7hRigf3Br8+IpGkJ9n6/7JM2AvjOdc3oL
WNAiV3FIVIYBUqLLlrWhVT98jDCXZQD/OPvDSW4WNNMTbQ1yDLC7OGqWwcMC
hSaV03WKDJB/QzhL8rGgSjX5ZaUGAwTLtpxfuYgFIn2XdF9sZUB3v5t7thgL
xryTPUS3M6CElzJ1Wc6CeoGC1GOGDDjwT/AXS5wFl9X6lsmZMGBbsp5vygoW
LPZfOxC5mwFHzqucSmeygE9kMOqADQMab7VzfJRlwSxs/MLlyYCRxXv+5Kux
YDBx/Ny2JAb8Pd1w8ZYRC7pNrW5F3GbAyr42j1PGLGjlK82vvcMA7pwH42Ym
LKjxjB41T2ZA59Le54t2siDPSN3CPo0BaRrp1qG7WRDwz03RL48B23tnmmP2
sYBh/bUus5wBJuKm8ZJOLNCT+MIU/sEA3QU/GcPnWWDhf2EyfosoBFT9Ejau
Z4FllofsxZuisM4/oV9XTgG6kgfuPBkVhe3XZQeP+SmAzBmG/b3NYuDUu1r8
ZbcCDElVeb27KgYH153hqjRShMTLZZ/39omBENmktaVIEQR6fQPS1y4H2ZMO
iz+tU4KZmWfemhHL4eCE5uaeu0qQMZWde65nOQywlz67wakMBuVDa3V0xMHZ
w11o1S5lcNiXJc4KE4dR2SUmR68oA9Qp6rR0ikNp6anqwWplSBJSz3qrtgJ4
3PojiDllKFD6ae95YQXoKlxOSGGz4fWKX4fDO1ZArckPnpvmbDCuC3r1WUUC
Ngc1Gp3zYkPskQrLkRAJaA3JFhG/xgbb8ritqz9JAI9WUPO2R2yQICIY3s0S
UK5d2JCO/mgb2P3kswQ0dvckC+awwWjqiP+qNgmQUbWrrEJrs9c8UvkiAZ98
MpjGeWxYHNMmJjcsAXwxp/kMnrLhhQ01sHROAkICysLFX7DBO4PxeCcHCcUi
C5xOov/7yx8UxUnCE+3EB3Xo1CtjKxZxk/A543h28Es2xLwpNeHjJyFJ+3xf
dxEbnBUPP51dRsLEFRVhn9dskPPed249QcJSSwX+cnRXqclOfwYJObzn1Bkl
bNizX/vrpBgJnhUFwg/RGy/zSf4iSRgNExD6XMqG5b/TQ4blSejmChfiLWOD
jWLKAX0WCUFXleOM0ck2d3SSFEjo/K6gEotWLY8bNVUmAYqfBEmWs8HgerB5
gToJYSpxJXQFGyKqzqgSq0jgs7ma54iu5/Djd9Mggez4npOCtnE6/pLSxvn4
r/lEVbLh5BobubB1JLTtuFsu9I4NBW6Wc93rSUg35KT10Rz3zD6v20DCiHVh
rD86QtAw8sdGXH/OqxuD6OQ27V8WW0jY4Rdk9eQ9G74Kr6rN2UpCZZmaej9a
TV8lTXA7CTM92qKiVWwozFq5/5URCSb57xZ7oOsDlr6VN8X9qHR7SVVjPvKE
kgJ3k6CevHWpIdpmYOGpFjMSHt33POmBHtoxq3zJgoQfkhbur9Ec1HDsL2sS
xDNylU1rMB/m/W47bEhYb/KM1xMdEfZla9oBEg4tFBiLRYuNffpnbU+CiMnS
mQa0SumbQ28cSdjPHhkwqGWD559XupJOJHAGpeywQxcoFS73cSbBcsmtSl+0
fmxOlZIrCT5uLybS0eEVmSkhbiS48kmlvEbX/XsQ2OmOdtdy/oS2drilEXOC
hH6taUWOOjbcjY9fPOpBQoRtLy2CHqyOHTQ4SULs0KS2HFqF63LJbS8Srj21
tNJCe2pdTJzyJoHOpKIN0AXOoV5mp0joyHZvM0dzJAXtzPbF/N+zW3MIfXGh
D7f9aRJejqeqB6C/2rwtTQ4gQbR9lVAYevvTZecGzpBQ4rJDPAadvshWTzGI
hOavIpaJaAGHLE7XsyQcux//Phnt/GKq+OE5Eu70/z2WiX4nsjVwLJiE4Mlt
2/LQii5XN2iGkqCqcN/sOTq8pHvW+zwJhcUyMUXz8cXVigoukLBBsJW7dD7+
8dOnZ8JIaNzdn1Y2H7/i3Tq4SEJUn/XZyvn40sv/nY0gIVzQ4tL7+fjeDoVv
I/F8Co9WV83Hr8n15YsiIRG0N1bPx5fnWGN4mYSePuPB+fGw08aTkVdIKDfc
Vjr//4ONCfl10STYv9xYP//9W5UHvUVi8XyG7GCUo1PPaWrvuYr5+REeMT8/
vtazv69fI+HAFqHVr9BH/qt70hqH+fw4LFaArghjnpSMJ8FgaKPyYzTri7OG
XQIJxDv5k1noC6vzx+/dIGHdm9yx+/Pxo3jy+hMxvzKzyTfn4w+YnlC4RcKc
GhUROx9f97b60SQSKnQ0UsPn418b/ZF9mwTDCzsmz8zHH13z6OcdEm47Xjzj
OR9/8wV3jXu4/zIca4+gz4/LfHt+nwQvy1+7jNH9249l/UshYdY5JUsXbXD3
5dENqbgfGj91VdG8u/YOv0knod0vm2sx+nDq/fSFmSRc/m6s+Q/Pa9ncmNP2
LBJa13+5OYQOzY4crH1IQpHl+qUl6H6e1gfLckgQk1pFZqEN9rMczXNJuJjt
tT8OzStU2tfymITtEhvPOaFDnP529z0n4Wn+XhtudG+x/l1WIQnnrP6THML7
t3l5jJ3LCxJOPFjEqEZzl7O7fhSRoKMomxqNDl55sH26FOvZkQ2HCXSv36NE
3bckBHTd6BrD+7+5YcYqqIwE5pes6Do099nrLbyVJOx1NroVhj7XWf1paQ0J
tgpD5mNYb9wkZZLda0nYMzKlXo7eu9/rWHUdCVPuibI30CqtkvxhDSRkrubc
CuiWj+5rOD6TcNLQ4/oZrGdvGW94bVpIiIxaudIY/chseUNhKwkrYraXiaND
6otdvDtI+G3haPII66NazdKb33pIOGrGc7we663EosNORn14XpcE5F1H8xoV
aKb3430P27nIBt1aaV/jMIT1Sfvkwn6s16Fv8+bavpEg/7tj+TDW+/YX5vbv
JzEf3RsqK9/ieZhOU1GYxvp8vuhSEDp3zexU6D8SHF7vd12NvpCfEqM3R8KR
JEeve2/YoPH4z5vn3Ezo+BxR4IbPn/CMeDp1CRMWtayVaSnG52lC+0iwHBOs
YqRZPIVssB903tMmzwQv/6OSdwuwnmr9fbWKxQTrHDsdXfSX+mUx3YpMGJnL
aPd4jvVHcKsOqDGhW8e/u/EZGzr9c0Om1zBB1314zPUxntcD5yVP7GSC4Mhk
+79MnG8WcaFyFxPsfeviA9Bt03d+Su9mQnyU4+m5DDaoX3/xptacCT+cVr2Y
Tcf81P10ZlsxYfXNshXjqfg81LN+NujABNHfHMfyktnwaaX6zgN+TOhS/SUR
c4MN5DXhpCR/JtS+OLGTG2278Mdo52kmNHw1ee+ZgPVpKPuibSATNg24xu6O
Z8O/bOVyuxBcT+QuL744NkjrsHQPRTHBf5wvbEc01iNjKWWne0yoNB87uvsC
G7KLZn3TkpnQW+Z4Jes8G8ZVOyqH7jNhQCh8lhftv+ymo3MqrveVeN6zEDZc
+rTinksWE3x3GJwXPseGPDvRFW7PmBBe1Pw16TTGP7mIz+M9EyRKFoppnWBD
Vc34wZoqJhTwJ/g5HWfDDbrllUINE8qYEoKJx9iw5nOKd1cdE3jXbMyYdWOD
zzoYMP7IBDels2PPXdgwweVRxvrChOlVsw/5HNgwEtUc3PGbCRu+zJxZaIH5
TrvHuV1GEh5/ceOOWo33X65N75KsJDzUO/7tljYbHt4hgutXSkJu8E7ZbC02
nI0P4bWiJSGvp9/1nQbWvzBHwaPKkvAidu2FKTV8nziixLikJQmc/yo6Vyvg
+xidx6rfLgm6ScqRKuL4/pNcsmOfhyT4xynt5PyjDNFuciMfSiSBP7Zk9XSG
MtyS0HsnJC4Fjr49OaUmyqAaNfAv0EkKysXEiodGlMCvz+B4frEUJMk78ap6
K4F8kNhNgl8a5nZMz3TOKkKwd1Yqh7o0GA2ZVU2GKQIckDY3sZaGkpBG9ehl
iqCb/ikjP1gavv3re9+TrgAJ/S73gh9JQ8L0+8rXmxRgREBGL7hVGrg0elOO
DbIgKJq8eHsBBeELjGqDE1ngITjhKalKQenPnU2RZizo9d3cWYx+KsWfdRX7
AbOvsdsOqlGQWeJB3jJlgValpmSqOoV9nl3JI+wfpkK9y9U1KKjbma7Yjv1H
INe0uL4OBU8E1ria6rPg0iTnK5dNFCh75b/I1mJB6sAS/ucWFOxYt4ytIsGC
5x3/Nu7dS0E/tYPPFvufd01Dvn/QW7TOeUZjfzRcWjqiuY+CVfI5c3+xn1K5
7V2Xa00Bu0i/q4rA/mVvZ1ymHQVv021KoxazoKgyW/62CwWCFk8/B3GxoCHD
ePP5MxSI3ma4MkZoSBctWqARSEEjt1mj9TANgUEqpV3oP2qKPclfaVC2WKK3
5iwFBQmGf7SwHw3m+rBhNJiCwAaZP/b9NGhamq3dHU6BdKPsppYuGuJ4rf6T
ukpBYre3vz72127H3/98jx7/3pR9p4mGzW1rc3yuUWCQpBM6i/35jxxSrT4O
55/0SraggYat+zvYIQk4vilUTAf7/ck8O4XhJAqKRedq53+fsLI7Iv0snYKz
sqfG+UtpKGoPMt2bQUGa6y2V4BIaZPbdCJ5E10ZP/Z59TcOgac3g2iwK5vj/
qPwupsFzs0ZO8UMKer7t1xkuouESzaH37jEFHenVd78X0FA8GnewvYiC55kh
UnZ5NMg651wNeEVBUlNT/Ugu9sv978qliilwzLcUPoU27pxRsn9Ngc+WRIWY
HBpa6g5O9JdScKfGqb76IQ3jeaohPyooWB0vPGidSYO8b3nKggYKznS1+365
T8N+R+r6M3TW2NK3J9CxZn5hLo0UyPQ9e8aN5lJVPdrQREHCyYdXFZNp6Oi5
pn6vmQL+lBLVgLs0XDM+/EKvg4JPlZvyNyfRwEvx1AcNYfzNPJPG8TSsX3yg
VPMrBY9vC3NOXMf1T+c/HkJXNh/ITEB3Nx2N2zVCgdaelSNDcZjP8EZr6jsF
Lz4WCV6+RoPXxL2B4gkKDnpwP5iKoSHry0yz5y8Kot4M1Kaje2ss3rF+U5D+
0SfeCm2aJph1+Q8FQ09nF72KpkHFxuOE7RQFdP4yn8grNDgYVh8kpilwtmu/
o4dOXE2bV6BFigRc/l6mQUCkVVttBvdPYLDFAb2RQ1OhFx2krR/ERPuMXlpx
fZaChssHypqiaHjYMihoNEcB48mi9Evo/nK9mTn0VT155a3o/wEttQQy
       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV13k8FW0UB/BLRbZsF3fm2i65RJhBWdMvRUpKIpWQNZUoEkqL0EaUFr2K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       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV13k8VVsUB3AkmVMu7j3XdA3XmOEeJOT9UnklFCmVqVRKJVOGlEpIRAmV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       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV13k8VF0YB3DarMlyR2bukMkylhtCZHl5WqhsISV7UUhEKSq0UVJUKJQ9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       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV1nk4lF0YBnBKJEQZzbxnhKEYyTavSKQ7lbRQ0UZZUkmlleQTSlSiIi1a
LKEifbJEElq0S1KSJWtkS6mPIsJ3+muu33UN58zznHOfR+C2y27zKDExMUZc
TOzvp9FuvzFiYhz4vzbzeVSqhavifbFzxTm48eLAlpr3WuCc8TIOHsVBkOmv
Xd01WujJ8dwiOYaDqpbQYrk2LWQNOr+UHcfB7MB8VeURLRgcm3eS4XDg8ONR
QLCeEDpxskqskIOcM3qLY8KEUC+Jm+K+nINXUuJtjTO18WpcwJGIZA48lQvi
h05Mw2/5lln/9XOg/4/9PuVkHSh+PmVRYK2EJweMZq+7Oh3tMT3Bi+KVELf4
SMI/13RhyW+arPBdCT+2vr1uEa6HNf6hvy8unARy229mXaA+HNK8NMJjJ0F0
9p3Ov8YGaLzalpDzdRLGSH2Q3JxsAPWDSm5J87k4qpCvPzTFEB2qJT7F57jQ
q/2B2jhDxEQ+q177mYvBwwvq+vkidG5wUMtq5eKLS/ooTRURZrJd7jLtXJQ/
70qxVxOhvGJCb2EnFwfUfP7JmCLCOL7TeI3vXDxaWjpjt64Ivtd6LL8OcHHv
3YjX2Dki2N9T+zdIgYeInNkdTRvo91v8AlPNeLA90nB2MEGEvVUuqV3mPEyw
LPxWmCRCTcn8D3oWPGz7nVYQeE2EGznj9W6Dh7OLo+8OpohgfSyxLn8BD76h
doub00U4Nq3Y/PUyHnpGbidtLRRBYg8z2L2Rh+OduOJQKYLn5mFN0WYe3jLm
Vl1VIrx3aLbzdueB2B4NCKgRIckyLbXfgwe/WOeky3UiWHLmOorv5EH1fmDz
s2YRDuV65E305WGcuf/36m4RhoZy9884wYNu4TPFfkkW36uTMqJO8iBSWXjc
fyyLTzkRHd2neDC8827niDSLFzu2rEs9zUP08eaTYnIsouomzVGN5oG9XW78
fSILYeE+SelEHg7m68ocVWGx0p89V5vLw+xwk+1RRiwWrlUtNc3j4Y733Hut
M1jMMpKRir7HQ8ISQbSpCQvVrk++Kwp5WPT541CNKYvOdVHrnxVRPzwRLTuH
xSGzHxoZr3mYVLX+vs4iFjcHbmUFN/Ow5smtpy7rWdR/Lg+taeFhxqZB+cNO
LBTe9jsbtvJg0Sovn+TMwjvZUqahnYfxk0P1mlxZWKz8sHHWNx70dfykbDez
eJc2xPnRz8OHfuvnnTtY9Lsu3e88nkHW+EHXGYEspi3dY5Mjz0DK4tJ1/YMs
nEzOa8hOYBBttzRXeIhFkVzjmzxFBt6K5825h1mcuOclVGIYuCz16/h8hP4+
zuXqVxoMIs4Nuy4+ycLqeYeZqSmDyZmxYkaXaT0rXPt8ZzH4aNJ3eoC6obky
664Zg8vXU7QexrDwFXumPdOCrh//Z4N1HItU00SuyTwG39KLVW0SWIz/17HH
yIZBRa+sjjCZxYfIV6kGGxhkLxnI0spioR5v6b7bjYHDFcvsN9S70vIEGRsZ
OBZxX/jcZjG2OPmCvjuDh2Uy2kXZtD+jQ47qbWew/HnUR5tcFnH7zN2m72Og
GlvtbFrAYrNjGiM8zsDki0r+xqcszJfrfDocxqDEauyZAWqO1Y3UunAGH2xT
3CKf0foYXjM7c4pB3aP3nXefs1CTjnUaPsPgRZHDzaGXLGpzTyS8j2MQk9K+
fHUpi+y0cdv0rzDoKsqtrqUOTwoVhSUwkBBz2eD2hu4vIuTxnKsM1DC8c1sZ
i2h3/8+pNxgobxmI2PmOhZ2Sp3ZQNu3fi8KlCz/Q/sl0/viYw+CHZFh/IbW4
uMc941wGS+qXpbKVLDK6Ni7pymPgmRwkUK6i9XyybseaBwx+ec/Y2lTN4uXe
JZm6xQyM91tlza5jgbJppjUNdP9ujqVzmlmIOgZaJzcxsGEzVaKoNUa9Orvh
E4M3Vk/jm6kljbZ/b29hkD/sPCOkhUVJ9M3kvg4GPdpf7+R/ZrHWZfokpV4G
5jGfVkm0s1js++fx2p8M8nTjKhZRm50u2RPzi4H1hriwU9Qqjz1fa/xmcOXN
3nNKHSxaNNNCRMMMAjPOzyCdLHZ/0+1ZNpagpEBQPfSFhZvU8JUz0gTOtg2v
jLtY2KuV2laOI9CQHOjbSW1stzPVWY7ATtpmqJb6T86tDTsmEhxYcPZx+lcW
30oD5TMVCdq6N4d+om5osy3s5RBEj0oI5Xyj/WW6ef5cgrdBDuY+1KEB+mVh
ygT1pcP7DbpZ+J0fCSidTJCeaKXqRL09/Y3ORFWCCjUJiePUtk27jl0UEIT+
bDlaT81ZkGGRoknwMzbM99B3Wj/nQ11ftAgmuAxPSKbu81l+SV+bwOzurc4S
6pqU7z/v6BDEBMc4TvrBIl7WMO2pAcHX7IhZV6iV5cZ6TBER5DWeCXlMfUGu
QT2YJXiVaPntM3Xk+JMXYExwqzpTIPyPhaz8Jvt4EwJfq8EvC6mPy5uNH55J
bSpe6U59WKEjON+MYFziSoVE6mGFhxZkNsE5eR2X+9QHJkT/9rUgWNjz5k01
tffEBbuM5xLIy0Vzx/ewcOckOGZa0fWZC9ae1J84vkoK1gTqL1zSgqhdlJaV
7VxEEFTCGJ+nXjtpaMH0pQRLnvtkF1C/n/ReLNyGIC0nMbWUejn3Zn6HLcHY
zndPG6gX8RwMk1fQenDsPEeon/EMusbYE7weNa1frpeFJSOVvGklQbsmL5VP
fZ+p3/B4FYHJKdfDQupZJEdZfQ3Bf1Fzgoyo75ATlYfWEkgodF2fQ83yN0Y1
OBDsb4vpWUSdwZ9lY7GOYOVg6BZ76unKE8bGrie4pts2aj11inJ70aATgbfr
t6cbqadOfhDg6EJQvK8iYxt14uTzM/NcCTKXlT/eTa2isqOH60bAlqmM7KO+
pDL/ls9GAsfqb25+1FxV/taKTQT6Nn7dAdRnVf/TMHInKJTrv3qIWkHtZX3U
FgKZobjgw9Qn1K5c/OFBoDl0LTyYWlqwf+XybQRK3+cV/vVRga18+naCltx0
3l+PUp9aLLeD4LKxWlwQdaD6nxDPnQTzbUtsDlIPqJfPebWLoLOxU8uf2kcj
dUB7D+1/WdZ0X+oejaCc0L0Ey0cc13tR756ydnebF8GUZSR3B3XXFH0dq30E
/ESt2VuoPaZKtl71IbCoyfvmQt0yte7KaF+CC9VSJWuoXTWz17n9QyA6bF1h
S12nGT7pkR/d/52scQuoP2iZnggMIGha2DCgR20nVFhYF0hQu1X+jjr1G2Gb
uPkhAuv4+XFK1C+0z+3/fZj+/5KLv/rp+Zg/zVO0NoQgMlRrSwf1o2nzvt45
QqDWeG5MNfU9nR9u3qEE0zu7S3KofczE80uOE4xe37csiVq0ZILi1HACn9Wr
pSOpU7cZPq44SXClqEp1y9/z7jeXrxdBoDvTOmAFtXrYCq+jkQTna25PMKO+
fGOPhskZel7SuI0yf897XtCBiLMEqp/WkR56fzgvT5e3nSNQWWJ04u99OtGe
GXzhAs2rIlPuVWp/rf+af8cSaB14UKpPPdNklLldPM27469fKlD3Wk08m3qF
YOvH+KHv9L57uovmr0siSLLTVkindrq292pBCsGCx30tAmoLjZ5NB28T9Dk8
2fmJ5tGAaHRhZTbNy/A2qVzqO5aKSgZ3CIpU9GvDqPXc2KeNdwkk9z02/pt3
qgleUy3vExgrat/dQ/NQTLX3s8RLgsEibbkymq8FehIWTsUEXPFN2y5Q+1pw
zue8ov15qD7Glfq7k5GVeynByZdPe7pofjfGeF9/Xk7zxv523hDN90fkp3tY
Pe3/EE9skL4HF2zWXH3VQNAvd70in3rnobwm2SaCrld7RvtTk9aA9RHNBIs7
FTwG2ljszZS0O9tOkNoduKa7lcUUa97suP8ITitebcij79OAn59fQw/BMq3+
ubupy9Jqc9V+0vquyhuaSh2gmCBK6iPwvFQaFEHftw/12sKUPwS8cavvO35i
cWyfmWKWJB8nvN2Ydw0snFNil/dI8fFy3SZ+ILXRx5GTRtJ8TC8W99WmbsST
sbkyfFyvdJwbWE/7J2sznK/Ax8ze85PU6Hvbmejc8ZTwsWTl3Y/za1jYlAU9
qNbjo6VRRVfxPYtbnZ3SxgZ8eN+5XZxQTu//mJUrowzp+hKZyfrU70w1OxYb
8TGnUVZtEZ0PVicVTyww5UNpl6uMF50fnH0U3ePm83E6R7cisYTeV+Vrshsd
+fCy4B7Y+4TFW+Pxax6s48OgSJLpeEzP+4r9CXwnPh7tiO1zpu49ssj4vQsf
Sye2+1gXsfin+6vLgs18tHZcCZz4kL4XRca3tXbzId8WmXE4n+aVxwuHriN0
PR3no+WZLOSvBx83PMaHIHjiD3PqsGaLPJ9QPsrWPsq+lsEiyDmHJx7Oh+ay
0Qv3pdP+rkysVIrk4zO/+LxsGp2v4b9qziU+FlZ+b+Sn0P5xDVZE3eIjfZ2m
TGEszY/n0dYzK/mweLHskdQxFnzOCaX9VXxkaveJLTlK++d66FNONR+jMtpj
T9J5demAhz9by8e9h/u7FUJYmOjOytBr4kNM+nO3fBCdj87Ucqd+4SOyvdex
24+eZ2dB24QRPg5+u7GV3cmC9yv1yBdNZYxZX29eYk/nNylfCbcAZcwzyvd7
z2MR3PC6ckKpMtpFCdoFDSKYXKrrCpk6GU43DgxcjhehcorhcpcDk3HbDzVu
ziL82Sc31uvVZAxM1Uw/qipC7Y0k8cXqKljtUmM1tdoQc68WLXP0UoFkeZap
0zlDRO2c2vW2SAUv/XkOP5cbIo5vWSzLqMKFXxZ6VMIQ+hFtfw5tVUW+RYuU
IN8ABz5b7bn7UBVH+it/LdhqAM0gbixHWg2zc8xXJRADhOxPSxEzVMOKG4su
4Zw+4KK2yna9GjzsfWvKmvRgkVp5826IGlqm+SmeMdbDpdbtSSEZajAKyLSv
8tNF1zh1y5CPahgcuhCwoGg6gqKUw6+MFiAqcpTRQe50eMn0eqvoC9D9wJo5
tkEHKW3y0nlrBDi0rfWpQsE0lN+0mX/soADJxZENhqrTsG6Dh1puqgDXzTwK
pvhrQ9Pv+fXR5QL4uEsMJ3wRwmmL4EIu9SxnvX/1OoQ4u/LA8e3vBYjffexP
fqsQo/T1PcsrBJitnB1S1SREffN5w6QqAbzkvU2ZKiHO27gXWNYLcKtyt0fe
EyEkBWPeBXUIkHC6ZJVPnBCzx7s8ntEpQO1ASg43RgjvwbvZHdRbOhfez7so
xKcKz+gVXQJ4PworHjkrxP2w9+sF3QKcm2j3/ky4ED69SW0PewWwclz14aOv
EGlNQ1XeP+l+RsKrjvkI0VK6plj4S4CY+35HjbyFsLshkxbZJ8DlH7NbI3YJ
oefstdd1QIBnX0Lv2boLsXnJ642cQQH0tG6pim0SImam1qoX1DILJUVZG4QY
p/jRxGBIAO2Lsi48JyHmis3QbqH+FsD4lTgK4fv1FLkwTP/+30nzgtYKkV7T
LrN0RACdAPae8WohWp9bDo1Qay6Ob+iyF+J/tBWZeg==
       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV1nk4VV0bBnAalCEqZFobp4znGI6zM2a4adKsmZIklJIU0isVoYh4S58G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       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwd13k4VG0fB3DKTkqdYWbOFGOZGbLOTEk8+pLkCSWVVpRKu6SkBVGSNWvx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       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV13c8lW0YB3AqshryHOOc58hRznOMOEey8uaXSl7R0DQyo6EhipaWEUUl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       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV13k8Ff0XB3BLSZLIxb0zxI1rzXLHUuLRJyQlFdXTZimytMkajyiFCCFU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       "]]}}, {{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV13k8VG0UB3C0kBAazNx7LUPGksy1ZIn4pYWSFqXNViqphJSolL1Ii2jR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       "]]}}}, {{{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13k8VG0UB3AqtFCRpWbmjpmytQmVouKXyDBXSYRsJUsiFKEiFAmlZAlZ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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13k8lF0UB3C7iEohmXmGaSEqO4WWH5VqmCcpIaLsSVIK9VIKoYWKSJYI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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13k4VV8XB3BKilSU+d5zuRJSEaJQ+mZKdbknIZSoDKWUMiYSodBAKU1C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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13k8lN8XB3BLKUVRY5t5nmGo0CJLCC2fJA3P+CYRQlSEEhVCkQrZQpY2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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13k8lN8XB3B7YSxly8zzDGNLKlso8uXTpsUyk4gQJSSpREn9KBVZU0mL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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13c8VX0YAHASlVEqo+49515XMhJSUiieFrrcU4mQQrIqlbK1CJllJmRk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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV12k8VV8XB3BUmmiU4d57znVJZAglRcUPJXSP/gkNMiSESko0UAiZNWkm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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13c8lW8UAHAqyiw77vteLlkpI6VQOgldvBp2S1JZKUIo/BCyioyGrGQU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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13c4le8fB3CEIoWyOud5Ho6sZKQho/ROgw7nEUJTkpYUyqqswldSpJAG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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13c81W8UB3CzUip0zXu/l6skkpGRVX3IT7rcbxOZKSMkKbMhFElDKWW3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       "]]}}}, {{{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nlYTF8YB/DKljZLc89NUU2bEJVC7pBvNbT4lZQSZYsSkiihhFSUSBKV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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nlYjVsbBvBCqTQY9ru2UmlnqEhKod63trvsUCpOpJGcUEKTpGiQcE4i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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nc8V/sfB3AjsiXf8/la4SurZTTQOeJlfa24Uoqo7lVJwyiiEt2iIUVJ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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nk8VG0bB3BLSVKROfdREmOvZC85I/2YFktpe4RK9aikTT0RatoIESIJ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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nk4VG0YBnCyNmgz54ydSUL5LFGYsdy2Sdq0CFFKWcsWotAilXYJrUKW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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV13lcTG0UB/ApS6uIuXdaSEMpW4tK3Jv6NdVQ1JuSFimibBXeViraEEIS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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nk0Ve0XB3AUySz3PLdIuUohkdJ0Lvqa7oukIkKkFCVDA1HRIBSlkiRv
gyFChvJSkanppxQhQ5OiMk8pQ4MGv8cfd931Wfees56z9z57b57bTht3ESEh
IRFh+qHfersOiAoJcbDiaHPi51g+UoW/XzES5kAlhVvTf44Pzjm/JaEiHPQX
SYT1x/AxdNt7m5goB58r7x3+HM1H3q+NT6UkOEBWZNG3KD4WHDc5NY3Dwe2+
ZSoq4XzMS5BiFqlzMFbDr2ncy4dqVcJsjzUcbHvc0vjYgY9KiYPhZ9I5aJJ1
L41T4eNDmo1cYwYH945lO7ycycewsfolxUwO8nX6/Qj1jKD63GvZHOj22GrG
K/Oxq1fjXfF/HJhkX4xLVuSDVL1c2FXMwc9tmt5VHD7cTi34gFoOvNJNxY9O
5uOnbBs7+IOD4nWTo32GWVgXD7rpjnJw0ERnfe0Qi6sewid3/eIguWnixUXU
lqUzmj7/4UA0vDXm11cWl3c4BvWKMIjTD7Y5O8AC5dXFbVIMMjuOyTf0sDh2
4K7+KxUG20KC6+58ZPFWrWIrUWWwoPAfVQ1qnRcvo+xmMag+JjZw6QOL13OH
39WrMRiOPDd2tIWFRqP2wVpNBhnBG/7av2dRpZNa+lSPwau7aofIGxYK7acN
S8wZqG6RaRuqZTEYmOpHLBksE3SYelHXSRRl7FrJYGVpE9tawyJ6QfsUNWsG
J639OhqqWcgE8ztP2TLYujrJ8F4VC3GFrjOuGxlIO1mJ5law+AujjyL+DExW
cI6LPGDxvt6euOxlMO2y7J2o+yxKPLxXFgQwEP0oepBLHRR14bbXfgZlJYJ6
7Xssfrzqj2w4xGD+QF3K1lIWQ74XF6ZFMlgds6637y6LrstDoRaJDMKbvr7a
lc/ik82GhKgkBgsVpzzjUDeJPyqsSWagEHbG5G4ei2r/mH67VAZbev9WTaDO
t9Jd73adwSRhd/3EXBaHfvtqBuUzMJwzM3Ugh8W+vJemZbcYXNzbw71MvXu7
oavwHQZTn+dwLKi3NkjHHi9k8HlW+PXUbJrf7Ow/50oZTHGxMXHLYsE499Rm
P2EQGmFs/T2DxmuKTe9ABYMTg5Uu2dTiFXdFFz1jUNg9+H0z9eiiSPZuFYO5
SmeqqtNZfJBUTy1/wWB35dLRG2kssovdA5ubGMh5TQyJTGVhrPRRWe4LA+ar
k0RGEovHhavNfL8y0BEabfaktrQv864aZMAhd520qG3PXiqOGGEQsFPHPD+R
nn+SvaPwLwazw0LGKhJYHB96FjsoSuDsHz6Rc4WF1NnlJWsmEfh07Nn44TLN
v3ZG6w1xglwZRbcc6njP8IVekgQjtwy2WVBntqyobZUjiC/z84m8ROut8pZk
oxIB+e5+WuMiizWesxYtUiYQr0y9IETdKBbjdHYGQQ3PcNXrf1k0G+28vopH
IHJSvSySeqBA45/HcwisD6UUD8ez8LeL952tTpBwJFjrBfWPQbG4oxoERbVk
5Q1qIe22NkMtAscyi5gd1FNSE44W6BKYn3ywqvcCizgj6UxmEYFsYanuc2rF
lqAXfnoE10cH/neTepaio8qCpfR6tf9+BlDrRSuUZegTlFeVJUtTF84/2i5m
SGCwNWziSBwLg8ovUu4rCKLfDHPfUwvEqjfwjAmePohee5N6fXDEz3//IUgy
fc5xpp6usaDsqznBj54ARwvqD42vjlpYEpy2r7FYSr1dZ67UTyuC2c362gy1
1rvq2jXWBEc0M1VFqb9EBJzPWE3QnhTwaOQ8rc9P5TMcbOj9XrdLvKHWP+PT
etOW4Ily93+V1EL6TMYkO4I2YQmxe9T/6yrxdrUncO/aNymfOuL8Vt2C9QSb
9TzupFNbGUt9k3EkGDAXUbhCLTeQX+ThRDA38qDyOep48wmmxIWgb2q9fgi1
80imuO9GggxtGZv91CpXbZ6XuxJ4/u5m9lC3WY+eVd5MYNYeF+FFnfEr2X6v
G8E6K7NMd2rvDAul51sIcmLVgjZRL7D72jLbncCDt/3XBuph4X9Tgz0ILtgZ
zHOgLrwBz4ZtBPaxjRJ21MEbuuZreRIUY/NFG2qIRw+G7iB4Vyr3dg31xNtL
C5q8CGp9Oc9WU1dsbgla5ENw487lHeOOkjmOk740/j/eFI97TbG2aOtOgvAL
v0vHr+dsf/mU3U2Q/U1v9/j9X3MOnY7ZQzB1f37jOurLD9Rse/wIPoVk9K6n
3uT7nGu8l2Cmv2n++PlnK+19928AQWdegdb483U9mZ78NZBgbfJCh/Hnz/b/
n7vFfgK/q+2Lx+Ozi+etmXyA5mea8OPd1HrVCgM/gmi9ed4WH4/vjwPF+WsO
EmBk4d8j1CVzt+zLOESQrJ6VFkl9pEHCQOgIgaqpjch4vkxD8oQdQgg+CLvI
j+dTXNvp8c2jtF6UhBrG8131VvjkpDCCCKtdluP1EH38+mrXcJqPVZ/8x+tl
6scfr2UiCOZnJnSM19e7U0lXPCIJ/rffRruLOok1dys7Qc8r0qT5nVo99kKv
zymCFXMNTLi0XvuwIrf8NEHe0iOu6tS5/R3+ytEE6d07dFnqZf8s+VsVQ3BC
UeK7K/XvofcPZ8cS5Eur9/pR308KPx58nqD+xP3zEdTmow1yWvEEvpJ6sreo
HXP8Zp28QmAR0h2vQN/PZQd9nlcmEKgnSh6fR01WbQuUSiLYN+rKmFLX9TlV
nrpK6yPOUiGQ2lLL2C86naAgtTG+jVr9N1/5RQa9vm/pKWHaP8SqFj+RzyTo
qlSdNZP6oZeG0rlsgps5hnrO1GyW3KPz/9H+oRD15T311CAJn5d5BCfnKH8b
o/5mOZHLvUXr+XZKgirtZ3k933fE36H18t7yjSf1PM2WKZeKCar2c0bHqKdf
z3FLKicIfTd/ykraP0f3pUt9fEywzPmlcyD1a/PkO7wKApN8p1Wp1LFdsRIp
zwgWH8pVEaL9V1o9OO9aDc1Hesr5e9R/0yxFst4QxPkYfXSh/f1dgGl271sC
q1TPxFjqIoGhvdY7gtvzncSqqAM6dDNzmglW5jvX6NP5MKA2zSa3ldZ7m5vt
HDo/PqR2Jt/uJ/iba7162lUWFs5dDvIDNP4nnAw2UecpdMv6fKH9Vjl6JJ06
7GjPwdlDBLNk9pUvT6Hx3dTveO4HjY/Xsh4POr92KQ3J757AhdkF98OddL69
qRuqqJrIhXOEsDafzj/jE8OH1cW40MwszzxDzfk50t8izsXRhfdk+XReFr78
8dRahotJrdWnL11nIRzzN0RrGhemfJWEUDqPd1iMLYtQ5OKi5lfrNuoGIaEv
rUpc9GovrDOj8zttp/DGSzO40FmuuFbyBq2HVRNZidlcKKYrLku6ySJGXGKw
U5sL+8OJnV/pvqB6mHFLMeXCN1Yuf0kRi2uO2/92mnGx8sPD39ep1fWKL2r9
w4WWapjojGIW2t2b6m9bcGEUo2knXsKCb5ttWmHNRYpXxVA73WfWzTWZ2+/A
Ra6xzdZyuh8dq9nVt8SHC/mDXx6SZywmZz6KCPLlIipU0+MqdVQYUbu/kwuD
unm12pX0fMtLXCz20N9tgn5a0P0rMWVSzYZALirmyGZE0v2sMDDhvyMhXOxS
eJStXc+ie2ZVwLPzND7v32jI030we7JDrvgFLoaPm7TmUfsOtXYL4mm8xq5t
sWum/ffxL+dHF7lItLUtukz3SSHfeSYliVx4HDZ6rPeJvl8lJ2RvXOci2fvX
mROdNF8OFhlnS7kwHhHLrh6k/TH68RuHdi46kgP7n0jy0bPZUSWvg8b3JS/h
phQfyxb1eUh2ceHT1mEVL81HfaP8cGkPF9Yuq9O8ZfmQUHKRmfWFi9d51rY8
BT72XRsy7h+lXlnaWUT3c9silewQuano9tlQd0ST/r/twKFM/lT8sdk4prGS
jz9/CgIXR01FWtjKPdEn+cgavZEX2joVO+e4puY18iF40s1fvnwa9j6z2ceo
6sPdKWeaeuQ0DK4NUvzppQ/Uai5/2zINaceDyoPL9JEopZtTvkAR94It962T
NkDRvK9u/hGKsFzYXOey1QAPFEc8TjQrQoL3YEip2ACrakPuvdFWQve5Bw79
UoaI3V7h2BeuhLRrWXYuHobY9OSC+bJXSrhtMPDUscgQU79lhvfOmQ57889x
S6RX4OSkfRPdDk7H735PtdWeKxDa8vyVfPV0JHTrRu19sAJLL77vC1NTRtIx
vdYEeeDVbN01rkHKWBc8tDbLGPi9V1rcr1IZYR6K5YLdwLvrKcKWqjOQ1dyY
lZkKGKU+XO3kNwNQ+8ZzbARifNX6XjycQfcFRU66qBESlIyfSU2bibQxudBE
1gg6Zzp/H/Gcia3/LlXZ722EoHbB7sL7M7HgRrhCy1UjzAnhXuFMVsE824Zu
5ZdGCAvMyRDSVcHUyvvapjL0QK4qdtbOKoj+tqFp5jpjGGa+yioMU0HA0EYn
1SvGuNjhlRKWq4Kg5flhU4aN0SehahzWpII7w3u9k9aYICRm+smkCTyYRcvv
fJRtAj/JYf8ZOjxYyh6+uZaYIqNTdvLd9Tx0Wqk/OHfQFPVZq0yPH+bhhuIs
9bwOU2zYvF2lIJMH0YD6gtPOZphz4EnahHoe5hdNTkh/bgaXbbz4AupJSmvr
0mrMELsuKNKrgYfp3F1s2gsziOjoeNc38lDRUnjtWqMZmlvjdFNe8yCeJd+e
9t4Mcas8Soybefjbea83r98MYjzRupBuHqwGpfBFWgADGddHi3t44OQvzR+R
FcD/V+GtbmqFRmf7X/ICfGr0vrC2j4djRbO1JhEByk40OPMGeNAOjp7CmyFA
wHBK5/1hHi5vnpDnoi1Azsc/r/1HePg2fIzrsUCAtur1z9S/8dD6wTDLd6EA
Ntclc6K/87AKb52PLBFAe6Pfnk2jPJicTm2/ZiiA+8rnWzi/eOCuz717EwJc
XjbXroJay1+6+K6xABIKTUsX/OFhSN3SrFoggJHQYo026uixL89fmwuwr/+0
Yvxfmo+MwNBWSwFuvu2StBrj4cTDB+6frQToeGL8Z4y6rj/P/6e1AP8HiFLt
fQ==
       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nk0lGscB3AkhEqa9xnZMpIlskRu3pG+ZCqKXFJUiBspkbJ1U0pxU1ES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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nk8VN8bB/ChkrWUuXcshaGizfK1VHekD5pESCRriaLN1i9b0UaLKKmQ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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV1nlYTdsbB/AKlYoMZ6/TJJ2EIg034z6Vb8ehwZQSSkQ0aaJSlCHJJUQi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       "]]}}}, {{{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwV0Hk4lOsbB/ChyFLZZpqXeWbMqywVmbRYOsdzU6FEpaRUQqU9olLWhGSv
o0RZCgk1tIdUiIOkTUQpUky28svY4n3nzO+P+3quz3V9r3t5SE9vp92yDAYj
Tlr/fxf7BMgxGEyQRUVajwPFOEdmNN1Khgn1eruMzILFmJnktzRclgnXiBPp
D0LEeOjBwT3yckywlM1PvhMmxncn3OqmKzEhJsCwSxglxoKo5fGaTCYMy5wo
e5QkxvMzprMWGTChufa2/8xbYqzzMmOO1zomlCWcmVX6WYzrlYIjE28wwaNY
1/uYwzAeV/lu8XuMCV82tDT2lgxjja4EyzI7FhTt0Sk31R/BP9KGwldlssCm
2vS9/tURbM35ylUdZMHexhub9qqPYpegs+OptrNgRszP1c0Jo3iL0G92bPos
WBUlsKhUGMMdOaJrDwZmAWqr84k7OYZ1Qlme2SvYcDiuYID1ewz3aL88/uIi
G0LsZhCO7uM47dy/rZu72CD8JfqUUTeOlb4HhBQsI8DNS3Ddw+wPpqhH/kvi
CFi2ytRnZ9offPNP4d3wbwTk3H8zWj51AtvU9CwzN9eEK6vKrzz0msC7XYWa
BtGaMIWucHzwZALDm3nmH9s1oVe3seL3rEmcOX2hsFqgBYty+sZ0dk/i0vn/
8zx6VgskW0d0J+5N4gqtYa+YL1pwL7xE1mBiEju8CXvWuoADa/09aypNKXxh
b+2W/kgOVOMEuV++FHavuWRn9oEDpvrWKh3ZFOYw41j+LRyo25dfkJRD4Wb3
U50PWjnAU7fvtrlO4TV/9gYtauOAag/f8lYuhU2NLG4v+Cr1FEdv33wKz0xq
Y+v2ccAmdO/b/kIK17W/+b6znwMDGlqHLhdROMKw+k7WAAc2eibl2d6m8J9q
oT1/kAPbw8rpq3co3DUWEsoZ5kDJtTbdtfcpXOZGitQkHGhxFHqmllDY/ybr
/joGAv07DJ5VKYVNxhTDEmUQWCwev9Irdd7531ozpiJwFXw7v7KMwklVzx0V
FBEkey/Zw3lG4f3zvB7S6giurXeusqmmsK6/a/jfTATtTtVziX8p3PHccV0Q
C0HQOaFZv9Sbtpv2jrMR3LPkbUirpbDVOQXeMELwu2kwEL2kMDFSENmnhyD1
QHZeWiOF3ebl7lhpgKC418Oo8D2Fc9yumWfORfCQx2mqbKKwcc2lASdDBG3H
S+OHP1DYJiXCuXQhgpqsTddPtVH4mIWbbvRfCOTVlwYadVO49PAWSeffCPLZ
t5YeEVGYkb2x9S+MAMwVZhX/oHCcsn38oJX0PwILYG2fdF6b6bCLLQJuJcc2
e5DC70LUqvWcEBDL9eZ0Tkj3vTc989QGBJfVredspqT7iqad/LgRwVYt1qq3
NIV71tKGCS4IQmlnmQYZGjPIvgvD2xC8IHKNeqfReMHzql1VexCc3T0a9JhJ
49hpJ6Z6Bkv7dSCTUgGNe92qn+eEIEhgr1A5ZkLj1Q/Vw0WhCDpSlxeYLKax
0m6hzKHTCARYpPnQlMYxlZ20fxSCaOvwjs+WNI4OdhiPP48gp01b7Y4DjaOG
dH6WXEews/OEwOsQjbtX+wgnc6X93ms2n/CmsU3Wk4M4D4HKDR+LhCM0ll+/
ua+qAIHO6dW44hiNzxTG/3hdhOC2VaO5XQiNI/eNdXaVIBDHbBlqTaRxeHvD
B7VXCML3W4ZNf0DjwzydHO/XCK7jqaMFj2i8eftxn4Y3CJQaDuWuKZXe/4mn
GN2I4PRVk7upz2j8sdnbgtGKwFbzTrDrCxoLXqml//yGwKR+sOt4B40/lzl7
1o8jqBofkeeoSLDp5c/9EbpcmGfa7aB6XII9f+zf1KbHhddha8hDJyU4bunY
s0UGXLC3GlNpCJLgr+/UkzrncaFYQxknh0twrLKdOQi4kFUc883hvAS3B92N
nLDggsxFFysnoQRH7Yji+a7jgoexyfwikQR/mLNw3Y5ALuzytO35ZMIAlKya
mRnEhSq72p91ixngPm1woD2YC97RFg4lSxnQ21MY636KC7qR7cw0CwZMFhrW
eERygb0p69URawbwzQ0sdyVyYXZ7pWi7EwP2O2gb7svmgnuKRoKZnzR/bIaC
Xz0XfON+244UM6AtP1tmtQ4PDroQKdmeMmCVU7nW1Y8HE2q+uTlsWfjnsG7/
20oepMuVtbG+yEIGx/rFdE1taKKCbxa+nALGiaLJU/u0oZnHetpSPhUCu2yO
FJdrw+qESwY3O+RAL4ydzlTkQ36ivI7XlGkQ4S/MYyzkQ8/+n1u/rVAA2MF3
dtzGh11Pnzz++FYRLAs+3CyO4EOaS3zSLR9luNx9IDviNh80Z6bfc/CYAf1K
OtYRn/iwLcZcLPBXgbB/UOzVKSTggKHhrFpV8FMWH+UZk5B8Jf3XYRl1yBOp
KJa4kJDep2McaqYBjTcdVkSFkjC3dnZmbAATtnrs5T8qICGDkus272WBXkBN
7pRGEtb3vKIy1rNh+x4y5ZHUqhVZJvKb2XBhY2D0gfckoDUjiYfd2CBrbHyw
sYmE6v0/Kq0PsOHLt+SF2S0k9LDiZMYj2JDs4FVm/YUEEd83I62YDfKk3Luw
HhJaxOXLnvIJ+HvmjudLekkYCXTtW6VPwNGJ4vs9UqdXNJY0GxHQ2XTw0vp+
ElTiF94dsiDgacz7beQvEgxWLFBY5kzAcXG2qFxMwhVBg5wkmgDhV6rl6LA0
b2AfmnaOgO+vXF4YjJCgO9iivuwSAU75ysJzoyRUjPw6E5hDwAI3P1/3PyR4
UJmXFZ8RsNu+YSdzgoSUVEFbUTUBaWb6zrVSh6jsW+LykgAljU+mAoqEr3Hp
RvmtBFgxlsz9LvXVZEn9hg4CTgwkaKXQJFwMaTol6Sag6OMP5TUSaX7lO/tb
AwR011hTEqlvDOQZuooJ+A8QYQU1
       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwVkHk0lH0bx29LZKmksczMb5hbEWVNQqXfRYrykCTKa0uRRGSqqWzZskQS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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwVlXk8lfkXxx+yb0n3Wu7zXDw3hKyZsqXvUZKRSk1lyTbWlFIRU/YwspWo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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwV0Xs0lHsXB/BBKSTRMMP8hnmIJLkcSRS/jVMUSuVauYfqVBTlRNQUTa4l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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwV1HlYTXsXB/DdrOJSTuqcvU+d3VVClEvSoN+3TKGBrkiohAwlQ9GlkVOO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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwV0Xk01fkbB/AvQvbkXu7yvbpfxWizZCRKn7emaEFllDR2KUlDMbSgheZW
JBPTdpIsSZqb0iJNalBDmxppU1IieynXFvd7f/f3x3Oe8zrnOef9nOdhQqK8
wlQpikpT1v/7j9E71CmKA1W6RPD3ThkpUBnKdlHhQJq9eeacRBnhZMbMTlbl
QPIhP/takoz0X4vcoKHOwXpnybHLe2SkdDTgvq42B5Zh9t1SiYzYSH46xOdw
cKWgrLMsU0amn9bl2llysIgrbzT4S0bMHp2esn4FBx2XHpXfbZKRh9qJ+w6f
4+C68WmPxx4DZMSg1enbMAfzjCo/998cIEZt6fNvLeaCeXl90aapg6TjVH/y
khwu1CXVrnMLBskC4QfRhD4u+kqjpj/nDRGfhP0jJ9yM8bVznnbc8SHiK42Z
nJptjMlai65bGg+T9wXtudd6jRHhylOjUoeJ2S5uSP5CEyw7tbF+6/gR0jnp
UdyDP01QUNok/2vnCDmV8e/rNW0mcA8PkDh1jRDt1h1JxXN5SPv5stVQwHci
l5fF26fxMKXTx7um9ju58P1iafJHHjLcM09kO4wS15rOuY6OfFz+uPiIxplR
ErZWyrc8wIf510ulOvJRgqfTHBub+eha3f3xtt8YydG1ld6zEcC0K5z679IY
uTn9a0jsfgG22y2680BdTioFA+sPvhPAO6TpwXkvOfF4uufOaysh6hd2lDpl
yUlWeK1vzz4hDA2IfFWDnATVHFs856UQNi02uRFaLBFy0rjxr4TwPrkpeaY2
S14E7W659lqIpcPu7Bel3b+HJ9i9FUKytrkiRpclDjOdLll9EEJfzzU0zoAl
+plvTcy7hfhk5kbCuSy53/y0NbRHiMqKm+emGLMkZca9y3m9QjSWuxW9V/r7
PekycZ8Qef6pW3x4LGkbTtolHBDiiHbtZAhZciuAaTdUCDHLeKlCLmZJ/AXu
1RUUjYT4COoqw5JZw1p7DqvQWBMcPrLJjCVFf3wT6I2j4a5m+2frZJZk3q32
HK9FQ+o0MW7YgiUR09ZfZyfSKFL7u7d4JkvM49cmO3No/OdrQdKtWPK+2nNF
ApfGLKuO2Fhrlqz2d+gaMaFRvLvs0BJblrhkjDcdoGl84SbFGduzhDdYvK/b
gkaT14wf5zqzJGBaYeAiSxravxjNXDefJQUBuY45U2kYfstIzyAssa451us1
g0a9f0FqvwtLXI+nrLppS8NgSkJ0iytLfnMKMD8wj4ZXXfdg6EqW3PzVV9Hi
TCN3S8feai+WUPner+cRGryHFdssvFmSprPsUJ8LjbgMkje4Wpn31mHAx41G
15Pyz3f8WFKfZHjPwovGyShJ4mC4ct8rujm7f6YR5VhZkhah3Lddc3ujN40N
VTJ3i0iWdC5nZ6T70Ljok14bGqXMY7qzBvxoxGds/lczjiVW1XfX3d1Ao6Kr
rqs/mSWpmtvGhSTSqE3iwD+PJV0B96oLkmgsaw8Nnl/AkqXXJya376IRMOqe
ZFbIEu0wqcrmvTS0zM0u9J9nycGqFjZeQiN/yf2G8sssOZDoMXLoD+V/G7Oi
nleyRNJv9rn8LI2NV/BpSStLPi2Nlo4V0ngU3Xf44Cfl/fIqIkkRjVfN82fX
dbBEY+Wa7rvFNL61PtwW0MuS3y8e6nhSQuOIlt2LvEGW7Ns43NJWTuNoyYnB
m1oKktz8+KVhHY1fNDv6LGcpyK+mZgVRT2jcajh7RcVeQdb4x0U/fkrj2Zml
I00OCmL1xlTrwDPlvatC9HKdFaTxRZQT9ZpG2vjdviuXKIhNnWH25480Vu9X
l6wNVpCmW6tCHo7QiD3RH2qQpSAOJ5t6UsxFaPlaI1dRpRDSEbH6rYUINZ/1
OC/UKKTNHr5jZynCGv/cNxfUKXyon5jZMk2Egn/zk/y0KKTqLHaEjQivllUY
1U+g0JxQum/USYQQm/h4fTEFSaDEdOsKEbKaC/UfEQovp9iuCNwpAqd6pNY3
hQJ9dEJOToIIP4y9WRTzO4Ugzb7e5kQR5Paqc9P3U+jqvJgatFuEhe4T0mvT
KIxdnFETvE+Esy2tLzz/pCB2tJy/7rAIvr5TP+cWUojwmDRjY74I5t4UG/xA
Of+b3viYhyLs7OkbcjNWwdvz+SpLzUzxdeNx57E6FbgUVC1fG2OKV2m3S4yy
VHHkV/Oe/6pM4ddhss4+Ug2nhQse6PInYdc7UmIaPQ7Wh9vHdm+cBA3n24lm
O9Sxs811y41/JkG/cF1AxRUNWOwxyeZoiXFk7K709z5NpMRLiyhbMdR6l/zU
4KkFBIpXefqJESX/WBqo0Mb84pcXbqSIkTdns2dgtS5OftqUn3JJjEntVS7J
7/XRo222IOWNGM5fvXnizAnYc4ROPaPGgF2Td8jthiFidGSxptYMGBOdbbSe
EYraDbTKfRj4vFU06QVx8OyCx0LJLgb12xYkDd3m4pfgcHFZMYOBttPyE8tN
YLGjplDtGYPJYWfM7V/y4L+BOV6mtPut3oXW73jI8t55YFMDA5eyeeemtfGg
am0d+ew5gyurjtqZ9/Pw7uNR2/xXDM4FOYRMNeDjqMf6WwveMfDXn/Zksxsf
Gox6/Z5OBsGj/fmtN/hw1g+stu9iUNxnkazxDx+xozeudiqdZyw7ObWGj5bn
kcdW9jDI1tSNiXnOx+2DDX7MFwYfVMf+5n7jI06W3/6PjMEGieWGrOkCSD/I
X8UOMBip3Ft0f5YArXU+DywHGSzebieinATwOq8jzRhiINrilhO9WACrgJit
Qd8ZVGqryQPDBAhb9jiUM8rA81Ljk9ORApya88OqWqVzhtc/excjgLbRGwcb
OYP0FPdNIXsFcKHsp7YqXbJSzp49IMC23nTBcZbB0QbDqq4MAUoaO3TcFQw0
6u2v2hwX4FPNArlC6dv63OfxOQL8DzKo97g=
       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwV1Xk4lGsbAPChxTJSNIPXvGPmnUpyZK2EOs9NokLRSQhjKUtOi0KKbCHZ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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwVkXk4lPsXwAcpa6JhZsw7zKtIsl6VpeV70qZFyc0upESSuiWUPSRbFKGu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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwVlWk4lWsXxx8UGQq1DXs/z8YjpMlQCR3ci6QiKpLymiJSedEROoiEJCRD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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwVkXs0lPsXxl8it+kyzDRm5jvMO0USUZ0Kpe9GSWpciqKTS0pRTsm9E+GH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       "]]}}}, {{{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV13lYTd33APBK80Dl3oZ7zq1umqUZDdhLVJQIDRRFIXpRlOIrmjVJqFcZ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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV1nk8VdsXAHAqQ1GGLpd7zsWlzM9Q5speNBgyVaRHKJWhQR5FilJ4ooHw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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV1nk8VdsXAHBKhlDkynXPubimZMwQUdmLDGVOaBKlSL1CyFCIkIgUEkoT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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV13k4VV0XAHAkGctwr7jnXFwh4jVHKvZKoYmoRCp6VUKjoaSMISHyUmiQ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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV13k4VV0XAHAiZSjJxXXPubhKhAwlU8NepDTxRlHJFKloUmQo80yJ8Eoy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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV13k4VV0XAHAShTJebu45F5eUKUNkSNpLX2nUSIYMhTRJoqKijJlLkcwS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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV13k4VVsbAHBUZMjUOYaz98GRMmaOqKyXizSIShkSRRTdqBQpY8gc4YoK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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV1nk4Vd33AHCSWSL3XrrnXFxNyNcQmbMXKVNK3kYJkUqpRCUzISFlepsl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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV1Xk8lN0XAHDyylqhYZjnGYx9y1KSJd2Tt0UkKktJSCmlEEpliZCQlxCy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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV1nk8Fd8bB/CLRJYKl8udubi2ChWRJdV5skSkJLQJoVIpvslWlmTJkhK+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       "]]}}}, {{{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk8VdsXAHBDhmSKe53rHs52jdEgkcSLRaVSRIWiKJWQVMYUITzzUJEp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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk0ldsbB/AmZTykw3ucN+/rRJJIJJFVfVEqXaKSQlSaLipjGhQ6ZGpQ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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk4FusbB3BLVAjpZcY7msdLaJEtkerUF0WU4pTjROFQ6iCVpVKEkCVF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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk4VV0XAHBDyjzee891D2e7IZVUJJE3LRTqLZokQ4hcJZUIqYTwZgoV
KWOJFBkiYzQoSVGZpVQyRxFKpnzb/f44z3l+zz57PXutPZzNdji+y4mPh4en
CT/zb0230wI8PDS4qbz1DSUrDmm8E0n6vDQ47C/R5EiJA+2Kh1YgHw02vSzo
zVAUh7FCV+eFAjTQr9q2Sm2lOORP29aICtMgN5++a4WhOKy+YHhRlkaDmTfG
PLOu4qCaLEpfs5QGv915GAOPxWFxbbISZwcNdqr9Chh3kIDXwr7BURk0KBa/
/W3SWhImJbrXj/6hgaB95tq8MUmQ6YnUKzehw6hJ8tSdACnoTxwL3JJChwV/
ggkrmjQYkJ3ykiN06LnkuSjxqjRYnA2ZvG7MgN6uZ6FP5GTAMttDMTyJAapB
RU7h12XgS1rfzcLvDJBwVckfWUSDxX50h1ubCIi+seXYBh8aDKBar1exBLw4
skCH7KBBYvSL9/t6CAhJ4JOK0qGDcPfpc5m6TDhSPbmlMo4Os7PF3msjmKCS
OTxRMECHrKmc/MAuJgiEZomM6TLAqHpAV0dHFvZlJ6PxYAY4WWXLLg2VhR2n
cmW/PGcAvFuu0/5ZFt4Lzvy15yMgRVQ9u2o1C8wKjxftX0tAmepPh5MhLKjr
SIsNdCLAS5f3YW0oC0xMlWvVOQRo/CsloxzOgn7rqcjP2Jku6s+aL7JAKDK4
VOcQAQl3Tyiuu8KCKSGLm/0uBJxVGe2aTGLBhH5i4Wo3AvQUxw76FbDg52H7
R4dPE/CU9YsT9okFMpdLSn0vEnBtu0Xa688sOB6znCYQScAx/9JO0U4WvJWz
EYzAZvX62kR1sUC4oafiWhQB7vcX7orpZwHHbMgm+xIBSibMDcmjLAhKCnV6
hut6wVNXJn8hCS+6JLxTkwiwvZO0Y2wRCU6NjbNyyQRofpi7qClEAlv7qnwc
9hd4LlgsQsJ4/axKWAoB2qLb/z6UJOHP/nvOR24S8C3VdqCKRYJ+lMpFVjoB
298FPH6/koRhWuJm1XsE5Hz7JqS1GrfPmDJSsSUF9uy5rE6C4rMFR5nZBDTo
LBnYqklCW6rlPf4cAvbeeiVdrkNCY3TdiaZcPD4vGU7yJhIs9gtI2RUQ4CaX
LupoRYKzb8ZhZhkB9VriFo+tSZjMPTPoh62x0/smuZ+EkgLz0V7s8eAtWk12
JNizpyMLHhLgM/zdbrMTCZ3rVPmNKwg4X6lVoOJGQpOT/Lu9TwiIOfTSciiY
hFaOxnPZFwRI3A4MVb9AgtgPB35X7LAuvVKvEBLUzvi3VGAH2BYyecNJqI8+
pG1fjednT2orPZoEbTGtbykvCTCGs+Yb40nYnCDJI/KagCli9c7LOSSI3vZ+
EfWWAE/zQf/WXBIGecK8mrBHLt/Ok7tPwsZnhaXMdwT0iclLZhSQMNeoN5mC
3cQv/PZhCQki52xs7tYTkD3cta2nkoTUwpF7GY0E2FfHmWi3kqBa0WCyq5UA
khZB924jYUw5TjcEu8Xe/2vhexL26XU/r8DeNnXo7JqPJPDbzsWrtBGwTm19
3spOnJ9P6J7f2OJXPhLKgyQMuX0e92snoNyW3Sc1R8L5Ob9aww4CmL8zgweX
yEGf6Ody/a8EhC86tcDBF1v6fab3EAGBn+tapd7IQdyl3Q+1f+H48R1DQcry
sPRAFKt9loBWJfUddmfkwc7y5/4TAkyY8RQT9HgtDxtrij6UiDDh491bvFsX
U5CxsioyTYoJL5Q/GkQqUlCde6W7BDv3Ji2oQYmCp2X6anXY568HL7RWoUC6
RjvuF/bSUGcR1xUUtBn41G2WZoLnIVV6pBYF4SHelV3Y4ioFSxu2UvDTRPAl
ncYE/bRKMysPCoDXXXwXgwkuqzRXXjtJAZEDjx2wY8rSRVs8Kdg/qOPogd37
LqRm5ykK3F7cCYrBjpg1NdziSwH99AG1FuyWvR+0tC9QUP7Sm25B4HhC4/KM
BAoavCZ0zJhMuBLjNLM7kYKKYI6pLXY5am2/lETB8y9d5kexJbTK4sRuUBDS
L6AXjv3AwV9KIB3H++eN+wvsvw9FBcZzKFjXm3F0vSwTLh9THqqvpOB9nl4q
k8UEo86k1uXPKajsN9BVwZ7azXgWWEVBd27f87XYjjqL4te+pMDEWjxzF7bm
ggHj63UUtGjkPQzHbr5+75Z9GwWqxkbTU9jMqjXWw98pSKQ/7qojmVC77p6R
yTAFHI2UyHZs/0wljZsjFChZTS/rwx6IogvtHsP11VHU4JFjQpnVRFHRHwoY
xlIh6tjWI2XS5/gRpE1ytlzCTiYNXonKIliu0i+7WZ4JrvdFE0xZCLxiH7LM
sNcbtx6JJhH8FPsuZond6u4qRqMQCG3ivHbFlnx1dQepiGC44WrqFezzpwZb
lqkh+D3EfPoJm9Mc02Wkj/B/rLvYhcL5HrF7EGKA4CNfIp8HNh/v8uBXhggq
My5vPIOdsuLxElMjBHNNOtHh2G2BA4fN/0XAeb0nIgt7q4beiKM5AuPrPT/6
sVdF9c34H0awb1PRXkvEhBDR0vYOFwT8/NRJe+yvoWEl610R/DO+LsAZOyZI
7eT4MQQT//m6eGL/8fEYdD6JQICl5hONXXlw7r2pH4IfliL/PcMmv74rzvJH
4KrEn1yDfdIuNVbwPB5f4PX0t9gqVpt3VgYhECSTAj9gR5iFv1wbhkDCvOP0
KLb5eqJYLhaBo80qc3kFJuQU98f4XEWgYe3LWYwtuLbMvSUOQfLOvc4q2GWr
9q+MjkcwsiFtnTo2pXwrnf8GguqMcOlN2N6pJwPtbyKgPxW7YYL9DhkdqEhF
4J0uKb8dO5A1IOedjvOrvdJjjt0vsSrmWyYCu2DXPA62/kUed+N7CGp66ktd
sOOFG8zSshEYiebkH8PeLuApYpuHYPJOlbsXdv5U2fn6QgQVEmYrgrHP9Bid
KHmCIHdhfmAK9o9gF82/T3F9HKJ3pmI7LImcMHyG4A2MSqZjmzg3+76tQmB2
4p+DmdiMAcew3lcIemTe2DzADg29sH1FLQKXiayiIuyZZVmS7nUIVq8V4CvF
7nIZvTr7FsGWLOWjFdh5Q/63aM0IzMd5Y6uwFS+mcaxaEJyRSz5djX1V7eWy
G60IfL2yd9Zg+x6TyFNtR9CZxW6qxR4RX+Nx4gOCZb5Bfm+wD+bu1Sr+iIDl
ulfuHfbWkaRyg88IqiINlzdiV0Q/9Qv5gsCpxCahCXu1eo/Bm04EZwe/zDZj
E+4raiy7EXywXBLXhh0mvSMipQeBcHhP3Xvsv/keZj29+Pv7Ir/bsbvHyprd
BhBM14SwOrAtYj5dK/qG19v9DsYn7FeafDYzgwhGT8cu+Iyt16yMDL4jmEG5
XfO+77nl64UfCP4mLHvwBVuJcTS9bhjB4AC/Vyf2taLoQzI/EZQs2LDsK7aI
xQNVy1EEFn2NdfM+N9H6I3kMQXlEtWMX9s+46fvd4wjahxmD8z6ojTyX/0aQ
LvLUsRu7rc1A220Cnw/ZNnXz/teHM134B8EnqdKlPdiPZMMeTU8ikBc/6jlv
jbLsAP1p3P+Sd8G8063qN12YQRAe3/p13szp8UV1s/g8WRzB34sdnsB8LT2H
959SDH3ec/KU8QoeBTiudlx23to/cpe+xY7WdOPa/ZG+sDuvAhzSPcF1r61T
XTGfAmiZeHBtORcSPcuvAO27PbnGF05G6EIFSHP24XpJAJFEE1KAKi9frs3P
fk0VlleAbVmJXAd5Z9/hUVeA5U/L/t/fTsHc1EYBdJf94VovszWrJEgB/LNW
sOYd33vkVlCeAhQb2nM9JLzYIOiDAoyfuMh1wGW58Bv8bBiOzed6ylTQ306W
DSMZz7n2EBk/Sa1iQ51eM9eRk7yPjxiy4bddF9d3+iSESi3YUK86wvWjmpwl
N46w4TxnmuvGrO2bLvixQcpUgJx33EJrDRTLhpT/xLm2PnBIoTiTDYpsBtdP
vsc5djxiQ2s5yfWS09W3+RvZ0NmJuF7IFmgIGGDD90eLue6tNpidm2PD3UJF
rv8H1SFsRA==
       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk4VdsbB/BDIUPGc+zjbPZyZCgNIrPojS4hNElRlCihbhkqN8p4zSW5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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk01ssfB3ByU3bx8H08X77jSajsJVpO7hslbdpvRReXUmmTJa2WcO1y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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk8VdsXAHBD5pnrnuseznaTKLOQ4aWFovJUr0JRFKme5PUMoUeJPFMi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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk0VtsbB3BDhhDi5bzew9nejIWKpPHWFyWUpnvVRVGUJlcypEkRrjGU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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk4Vdv/B3BzyBDOsY+zj71JCYVIUt183+iamgdXEbqUfJEyVq4yX6TB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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwl1nk01ssfB3AqZUuWh+/j+fIdDykhW5K41RslLbRIrrqpq2ihrixpoQhZ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       "]]}}}, {{{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV0Hs41IkeBvDB/MYwMzRPw89gmJ+IEGlzy9G+TVSk0uKE3LKHckiKzcR2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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVzns0lAkfB/DBPGNcniRjHkMyD4XdcntLbul8c8lliVwW5d6KLiiUu5Lp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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVzns01YkWB/Dj8Ts4/Egdfo5Dzs/7qsiqlKncr+MRTUqkDhHDJIORV5Hn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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVz3s01AkbB/AZ5jdmxgxaY37GuMzPLWHFbm2sk/cbIW135JqkSCUKRUll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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVzns4lIkeB/DBvGMwb6gxr3GdV4S0LrsUsT1fsq6hXHJJSA9aRWJaDkky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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVz3s0lAkfB/DBPGPGzKPkMQ/jNo/ctmzUSobV+yVLbKULi22KzQm9brlU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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVz3s4lIkeB/Bh5h1meCvHmNfdvEJa5ZJqXU72azIVKco6US6lqC3JLSxL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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVzns0lAkfB/DBPIMZj8tpzMO4zTOEsC61iWaXL0nsRlJew1JoqaxsIaxL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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVy3s4lIkCBvDBfGYMXzjNzIcJ84nokNgSw7bPGxJFUVrsuosUSVHE2prF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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV0Hs41IkaB/Bx+c0wM7/kGPPDuMxvXI8UNuTybOdrklb3wnHNrWO0x6Xk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       "]]}}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{5., 12.},
  Frame->True,
  FrameLabel->{
    FormBox[
     InterpretationBox[
      Cell[
       BoxData[
        FormBox[
         StyleBox[
         "\"days\"", Medium, FontFamily -> "Helvetica", StripOnInput -> 
          False], TraditionalForm]], "Text", "TR"], 
      Text[
       Style["days", Medium, FontFamily -> "Helvetica"]]], TraditionalForm], 
    FormBox[
     InterpretationBox[
      Cell[
       BoxData[
        FormBox[
         StyleBox[
         "\"concentration\"", Medium, FontFamily -> "Helvetica", StripOnInput -> 
          False], TraditionalForm]], "Text", "TR"], 
      Text[
       Style["concentration", Medium, FontFamily -> "Helvetica"]]], 
     TraditionalForm]},
  FrameTicks->{{Automatic, None}, {Automatic, None}},
  FrameTicksStyle->Directive[10],
  PlotLabel->FormBox[
    InterpretationBox[
     Cell[
      BoxData[
       FormBox[
        StyleBox[
        "\"parameter varied\"", Medium, FontFamily -> "Helvetica", 
         StripOnInput -> False], TraditionalForm]], "Text", "TR"], 
     Text[
      Style["parameter varied", Medium, FontFamily -> "Helvetica"]]], 
    TraditionalForm],
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{3.5593634485950117`*^9, 3.5593636230041294`*^9, 
  3.559363736494857*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Export", "[", 
  RowBox[{
  "\"\<D:\\\\My_submissions_2012\\\\bmc_article\\\\images\\\\Revised_Images\\\
\\Figure9.eps\>\"", ",", 
   RowBox[{"Show", "[", 
    RowBox[{
     RowBox[{"GraphicsRow", "[", 
      RowBox[{"{", 
       RowBox[{"fig22", ",", "fig11"}], "}"}], "]"}], ",", 
     RowBox[{"ImageSize", "\[Rule]", "800"}]}], "]"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.5593637444197073`*^9, 3.5593638209713993`*^9}, {
  3.5593642514991865`*^9, 3.5593642622785788`*^9}}],

Cell[BoxData["\<\"D:\\\\My_submissions_2012\\\\bmc_article\\\\images\\\\\
Revised_Images\\\\Figure9.eps\"\>"], "Output",
 CellChangeTimes->{{3.5593637567281866`*^9, 3.5593637738414965`*^9}, {
  3.5593638175549774`*^9, 3.5593638232334137`*^9}, {3.5593642585190516`*^9, 
  3.559364264961727*^9}}]
}, Open  ]]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["Additional study: what if the data was perturbed?", "Subsection",
 CellChangeTimes->{{3.5582471473170533`*^9, 3.5582471693779917`*^9}, {
  3.6767819866143074`*^9, 3.676782007984338*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"noisysamplesets", "=", 
   RowBox[{"Table", "[", 
    RowBox[{
     RowBox[{"Map", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"{", 
         RowBox[{
          RowBox[{"#", "[", 
           RowBox[{"[", "1", "]"}], "]"}], ",", 
          RowBox[{
           RowBox[{"(", 
            RowBox[{"1", "+", 
             RowBox[{"0.1", "*", 
              RowBox[{"RandomVariate", "[", 
               RowBox[{"NormalDistribution", "[", "]"}], "]"}]}]}], ")"}], 
           "*", 
           RowBox[{"#", "[", 
            RowBox[{"[", "2", "]"}], "]"}]}]}], "}"}], "&"}], ",", 
       "sampleset", ",", 
       RowBox[{"{", "2", "}"}]}], "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"i", ",", "10"}], "}"}]}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.558247954747574*^9, 3.5582479593963814`*^9}, {
  3.55824799832525*^9, 3.5582480148612795`*^9}, {3.558248044906932*^9, 
  3.55824806621657*^9}, {3.558248272916932*^9, 3.558248303430586*^9}, {
  3.5582484897380133`*^9, 3.5582485055564413`*^9}, {3.558250733577037*^9, 
  3.558250733951437*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"perturbations", "=", 
   RowBox[{"Table", "[", 
    RowBox[{
     RowBox[{"timevariant", "[", 
      RowBox[{
       RowBox[{"noisysamplesets", "[", 
        RowBox[{"[", "i", "]"}], "]"}], ",", "model1"}], "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"i", ",", "10"}], "}"}]}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.558248312010601*^9, 3.5582483552657776`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic1", "=", 
   RowBox[{"Plot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"perturbations", "[", 
       RowBox[{"[", 
        RowBox[{"1", ",", "2", ",", "1"}], "]"}], "]"}], "[", "t", "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
     RowBox[{"PlotRange", "->", "All"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
        RowBox[{"1", "/", 
         RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}], ",", 
     RowBox[{"PlotLabel", "\[Rule]", 
      RowBox[{"text", "[", 
       RowBox[{"\"\<data varied\>\"", ",", "Medium"}], "]"}]}], ",", 
     RowBox[{"Frame", "\[Rule]", "True"}], ",", 
     RowBox[{"FrameTicks", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"Automatic", ",", "None"}], "}"}], ",", 
        RowBox[{"{", 
         RowBox[{"Automatic", ",", "None"}], "}"}]}], "}"}]}], ",", 
     RowBox[{"FrameTicksStyle", "\[Rule]", 
      RowBox[{"Directive", "[", "10", "]"}]}], ",", 
     RowBox[{"FrameLabel", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"text", "[", 
         RowBox[{"\"\<days\>\"", ",", "Medium"}], "]"}], ",", 
        RowBox[{"text", "[", 
         RowBox[{"\"\<concentration\>\"", ",", "Medium"}], "]"}]}], "}"}]}]}],
     "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.5582448898868427`*^9, 3.558244904098468*^9}, {
   3.5582449361409245`*^9, 3.5582449381065273`*^9}, 3.558245032159093*^9, {
   3.5582504739588804`*^9, 3.558250505486536*^9}, 3.5582505997575016`*^9, 
   3.5582506935317664`*^9, {3.5593635064869823`*^9, 3.559363518452259*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic2", "=", 
   RowBox[{"Show", "[", 
    RowBox[{"Table", "[", 
     RowBox[{
      RowBox[{"newplotmean", "[", 
       RowBox[{
        RowBox[{"Range", "[", 
         RowBox[{"5", ",", "9"}], "]"}], ",", 
        RowBox[{"bigdata", "[", 
         RowBox[{"[", "i", "]"}], "]"}], ",", 
        RowBox[{
         RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
         RowBox[{"i", "/", 
          RowBox[{
           RowBox[{"Dimensions", "[", "data", "]"}], "[", 
           RowBox[{"[", "1", "]"}], "]"}]}], "]"}], ",", "0.015", ",", 
        RowBox[{"Opacity", "[", "0.", "]"}], ",", 
        RowBox[{
         RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
         RowBox[{"i", "/", 
          RowBox[{
           RowBox[{"Dimensions", "[", "data", "]"}], "[", 
           RowBox[{"[", "1", "]"}], "]"}]}], "]"}], ",", ".06", ",", 
        "\"\<\>\""}], "]"}], ",", 
      RowBox[{"{", 
       RowBox[{"i", ",", "dim"}], "}"}]}], "]"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.558244948698946*^9, 3.5582449710537853`*^9}, 
   3.5582450263558826`*^9, 3.5582506058883123`*^9, 3.5582506885372577`*^9}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic3", "=", 
   RowBox[{"Show", "[", 
    RowBox[{
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"Plot", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"result", "[", 
           RowBox[{"[", 
            RowBox[{"2", ",", "k"}], "]"}], "]"}], "[", "t", "]"}], ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
         RowBox[{"PlotRange", "->", "All"}], ",", 
         RowBox[{"PlotStyle", "\[Rule]", 
          RowBox[{"{", 
           RowBox[{
            RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
            RowBox[{"k", "/", 
             RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
        "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"k", ",", 
         RowBox[{"Length", "[", "sampleset", "]"}]}], "}"}]}], "]"}], ",", 
     RowBox[{"Axes", "\[Rule]", "None"}]}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.55824499645063*^9, 3.558245022736676*^9}, 
   3.558250609523119*^9, 3.5582506825000467`*^9, {3.559363209195877*^9, 
   3.5593632106310863`*^9}}],

Cell[BoxData[
 RowBox[{
  RowBox[{"pic4", "=", 
   RowBox[{"Table", "[", 
    RowBox[{
     RowBox[{"Plot", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"perturbations", "[", 
         RowBox[{"[", 
          RowBox[{"i", ",", "2", ",", "k"}], "]"}], "]"}], "[", "t", "]"}], 
       ",", 
       RowBox[{"{", 
        RowBox[{"t", ",", "5", ",", "9"}], "}"}], ",", 
       RowBox[{"PlotRange", "->", "All"}], ",", 
       RowBox[{"PlotStyle", "\[Rule]", 
        RowBox[{"{", 
         RowBox[{
          RowBox[{"ColorData", "[", "\"\<Rainbow\>\"", "]"}], "[", 
          RowBox[{"k", "/", 
           RowBox[{"Length", "[", "sampleset", "]"}]}], "]"}], "}"}]}]}], 
      "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"i", ",", "10"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"k", ",", "7"}], "}"}]}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.5582448898868427`*^9, 3.558244904098468*^9}, {
   3.5582449361409245`*^9, 3.5582449381065273`*^9}, 3.558245032159093*^9, {
   3.5582504739588804`*^9, 3.558250505486536*^9}, {3.5582505357817893`*^9, 
   3.558250634857563*^9}, 3.5582506775236382`*^9}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"fig11", "=", 
  RowBox[{"Show", "[", 
   RowBox[{"pic1", ",", "pic2", ",", "pic3", ",", "pic4"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.558250697353773*^9, 3.558250706635789*^9}, {
  3.5593632214575553`*^9, 3.5593632248895774`*^9}}],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13k4VV0XAHBzkowX955zDTfXmO49hhRK61VJg0RCpoqIyExUREiTBiRv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      "]]}}, {{{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 11.903818953323904`}, {6., 15.963224893917962`}, {7., 
        17.96888260254597}, {8., 15.273927392739274`}, {9., 
        12.001885902876003`}}]}}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], PointSize[
      0.015], PointBox[{{5., 11.903818953323904`}, {6., 
       15.963224893917962`}, {7., 17.96888260254597}, {8., 
       15.273927392739274`}, {9., 12.001885902876003`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{5, 10.455445544554456`}, {5, 13.233380480905234`}}], 
      LineBox[{{4.94, 10.455445544554456`}, {5.06, 10.455445544554456`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{6, 15.943422913719944`}, {6, 15.983026874115984`}}], 
      LineBox[{{5.94, 15.943422913719944`}, {6.06, 15.943422913719944`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{7, 16.11881188118812}, {7, 21.623762376237625`}}], 
      LineBox[{{6.94, 16.11881188118812}, {7.06, 16.11881188118812}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{8, 14.336633663366337`}, {8, 16.186704384724187`}}], 
      LineBox[{{7.94, 14.336633663366337`}, {8.06, 14.336633663366337`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{9, 9.171145685997171}, {9, 13.923620933521924`}}], 
      LineBox[{{8.94, 9.171145685997171}, {9.06, 9.171145685997171}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{4.94, 13.233380480905234`}, {5.06, 13.233380480905234`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{5.94, 15.983026874115984`}, {6.06, 15.983026874115984`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{6.94, 21.623762376237625`}, {7.06, 21.623762376237625`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{7.94, 16.186704384724187`}, {8.06, 16.186704384724187`}}]}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[{{8.94, 13.923620933521924`}, {9.06, 
       13.923620933521924`}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 25.536048606450247`}, {6., 51.672612949945254`}, {7., 
        59.10134586174009}, {8., 58.856429639572816`}, {9., 
        47.14637276720007}}]}}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      PointSize[0.015], 
      PointBox[{{5., 25.536048606450247`}, {6., 51.672612949945254`}, {7., 
       59.10134586174009}, {8., 58.856429639572816`}, {9., 
       47.14637276720007}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{5, 21.618566533611222`}, {5, 29.771450775371793`}}], 
      LineBox[{{4.94, 21.618566533611222`}, {5.06, 21.618566533611222`}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{6, 46.564696739552794`}, {6, 56.78052916033771}}], 
      LineBox[{{5.94, 46.564696739552794`}, {6.06, 46.564696739552794`}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{7, 56.82645095199407}, {7, 63.00116570701898}}], 
      LineBox[{{6.94, 56.82645095199407}, {7.06, 56.82645095199407}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{8, 52.262531350453926`}, {8, 67.75583736620864}}], 
      LineBox[{{7.94, 52.262531350453926`}, {8.06, 52.262531350453926`}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{9, 39.76827157441097}, {9, 52.34377759723057}}], 
      LineBox[{{8.94, 39.76827157441097}, {9.06, 39.76827157441097}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{4.94, 29.771450775371793`}, {5.06, 29.771450775371793`}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{5.94, 56.78052916033771}, {6.06, 56.78052916033771}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{6.94, 63.00116570701898}, {7.06, 63.00116570701898}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{7.94, 67.75583736620864}, {8.06, 67.75583736620864}}]}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[{{8.94, 52.34377759723057}, {9.06, 
       52.34377759723057}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 27.581766381766382`}, {6., 25.574358974358972`}, {7., 
        31.170370370370367`}, {8., 32.872934472934475`}, {9., 
        42.14700854700855}}]}}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], PointSize[
      0.015], PointBox[{{5., 27.581766381766382`}, {6., 
       25.574358974358972`}, {7., 31.170370370370367`}, {8., 
       32.872934472934475`}, {9., 42.14700854700855}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{5, 21.17948717948718}, {5, 39.9008547008547}}], 
      LineBox[{{4.94, 21.17948717948718}, {5.06, 21.17948717948718}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{6, 25.162393162393162`}, {6, 25.986324786324786`}}], 
      LineBox[{{5.94, 25.162393162393162`}, {6.06, 25.162393162393162`}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{7, 28.553846153846155`}, {7, 34.34871794871795}}], 
      LineBox[{{6.94, 28.553846153846155`}, {7.06, 28.553846153846155`}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{8, 26.926495726495727`}, {8, 38.53333333333333}}], 
      LineBox[{{7.94, 26.926495726495727`}, {8.06, 26.926495726495727`}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{9, 40.}, {9, 45.87692307692308}}], 
      LineBox[{{8.94, 40.}, {9.06, 40.}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{4.94, 39.9008547008547}, {5.06, 39.9008547008547}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{5.94, 25.986324786324786`}, {6.06, 25.986324786324786`}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{6.94, 34.34871794871795}, {7.06, 34.34871794871795}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{7.94, 38.53333333333333}, {8.06, 38.53333333333333}}]}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[{{8.94, 45.87692307692308}, {9.06, 
       45.87692307692308}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 1.28020770920711}, {6., 1.5937687237866989`}, {7., 
        1.88935490313561}, {8., 1.8214499700419413`}, {9., 
        1.543838625923707}}]}}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], PointSize[
      0.015], PointBox[{{5., 1.28020770920711}, {6., 1.5937687237866989`}, {
       7., 1.88935490313561}, {8., 1.8214499700419413`}, {9., 
       1.543838625923707}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{5, 1.0185739964050329`}, {5, 1.414020371479928}}], 
      LineBox[{{4.94, 1.0185739964050329`}, {5.06, 1.0185739964050329`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{6, 1.5877771120431396`}, {6, 1.5997603355302576`}}], 
      LineBox[{{5.94, 1.5877771120431396`}, {6.06, 1.5877771120431396`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{7, 1.761533852606351}, {7, 2.0131815458358298`}}], 
      LineBox[{{6.94, 1.761533852606351}, {7.06, 1.761533852606351}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{8, 1.5997603355302576`}, {8, 2.0071899340922705`}}], 
      LineBox[{{7.94, 1.5997603355302576`}, {8.06, 1.5997603355302576`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{9, 1.2822049131216298`}, {9, 1.6836428999400839`}}], 
      LineBox[{{8.94, 1.2822049131216298`}, {9.06, 1.2822049131216298`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{4.94, 1.414020371479928}, {5.06, 1.414020371479928}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{5.94, 1.5997603355302576`}, {6.06, 1.5997603355302576`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{6.94, 2.0131815458358298`}, {7.06, 2.0131815458358298`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{7.94, 2.0071899340922705`}, {8.06, 2.0071899340922705`}}]}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[{{8.94, 1.6836428999400839`}, {9.06, 
       1.6836428999400839`}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 0.6416264148222911}, {6., 0.8164515896474659}, {7., 
        1.092206762309855}, {8., 0.8506956960565207}, {9., 
        0.8543003388364213}}]}}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      PointSize[0.015], 
      PointBox[{{5., 0.6416264148222911}, {6., 0.8164515896474659}, {7., 
       1.092206762309855}, {8., 0.8506956960565207}, {9., 
       0.8543003388364213}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{5, 0.5046499891860716}, {5, 0.7569749837791074}}], 
      LineBox[{{4.94, 0.5046499891860716}, {5.06, 0.5046499891860716}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{6, 0.7713935548987095}, {6, 0.8615096243962223}}], 
      LineBox[{{5.94, 0.7713935548987095}, {6.06, 0.7713935548987095}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{7, 1.0020906928123423`}, {7, 1.1390671184485617`}}], 
      LineBox[{{6.94, 1.0020906928123423`}, {7.06, 1.0020906928123423`}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{8, 0.7497656982193064}, {8, 1.0092999783721432`}}], 
      LineBox[{{7.94, 0.7497656982193064}, {8.06, 0.7497656982193064}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{9, 0.782207483238411}, {9, 0.8939514094153269}}], 
      LineBox[{{8.94, 0.782207483238411}, {9.06, 0.782207483238411}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{4.94, 0.7569749837791074}, {5.06, 0.7569749837791074}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{5.94, 0.8615096243962223}, {6.06, 0.8615096243962223}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{6.94, 1.1390671184485617`}, {7.06, 1.1390671184485617`}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{7.94, 1.0092999783721432`}, {8.06, 1.0092999783721432`}}]}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[{{8.94, 0.8939514094153269}, {9.06, 
       0.8939514094153269}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 3.7622656174098896`}, {6., 4.670649956280967}, {7., 
        5.484309725055863}, {8., 5.0106868745749535`}, {9., 
        4.726513164286408}}]}}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], PointSize[
      0.015], PointBox[{{5., 3.7622656174098896`}, {6., 4.670649956280967}, {
       7., 5.484309725055863}, {8., 5.0106868745749535`}, {9., 
       4.726513164286408}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{5, 2.9437481783736517`}, {5, 5.136986301369863}}], 
      LineBox[{{4.94, 2.9437481783736517`}, {5.06, 2.9437481783736517`}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{6, 4.648790440104925}, {6, 4.692509472457009}}], 
      LineBox[{{5.94, 4.648790440104925}, {6.06, 4.648790440104925}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{7, 4.758088020985135}, {7, 5.858350335179248}}], 
      LineBox[{{6.94, 4.758088020985135}, {7.06, 4.758088020985135}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{8, 3.6213931798309527`}, {8, 6.120664529291751}}], 
      LineBox[{{7.94, 3.6213931798309527`}, {8.06, 3.6213931798309527`}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{9, 4.2188866219761}, {9, 5.435733022442436}}], 
      LineBox[{{8.94, 4.2188866219761}, {9.06, 4.2188866219761}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{4.94, 5.136986301369863}, {5.06, 5.136986301369863}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{5.94, 4.692509472457009}, {6.06, 4.692509472457009}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{6.94, 5.858350335179248}, {7.06, 5.858350335179248}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{7.94, 6.120664529291751}, {8.06, 6.120664529291751}}]}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[{{8.94, 5.435733022442436}, {9.06, 
       5.435733022442436}}]}}, {{{}, {}, 
      {Hue[0.67, 0.6, 0.6], Opacity[0.], 
       LineBox[{{5., 2.05859375}, {6., 2.0107421875}, {7., 
        2.3235677083333335`}, {8., 2.5078125}, {9., 3.0651041666666665`}}]}}, 
     {RGBColor[0.857359, 0.131106, 0.132128], PointSize[0.015], 
      PointBox[{{5., 2.05859375}, {6., 2.0107421875}, {7., 
       2.3235677083333335`}, {8., 2.5078125}, {9., 3.0651041666666665`}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{5, 1.6640625}, {5, 2.748046875}}], 
      LineBox[{{4.94, 1.6640625}, {5.06, 1.6640625}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{6, 2.00390625}, {6, 2.017578125}}], 
      LineBox[{{5.94, 2.00390625}, {6.06, 2.00390625}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{7, 2.083984375}, {7, 2.55859375}}], 
      LineBox[{{6.94, 2.083984375}, {7.06, 2.083984375}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{8, 2.2734375}, {8, 2.6796875}}], 
      LineBox[{{7.94, 2.2734375}, {8.06, 2.2734375}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{9, 3.044921875}, {9, 3.078125}}], 
      LineBox[{{8.94, 3.044921875}, {9.06, 3.044921875}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{4.94, 2.748046875}, {5.06, 2.748046875}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{5.94, 2.017578125}, {6.06, 2.017578125}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{6.94, 2.55859375}, {7.06, 2.55859375}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{7.94, 2.6796875}, {8.06, 2.6796875}}]}, 
     {RGBColor[0.857359, 0.131106, 0.132128], 
      LineBox[{{8.94, 3.078125}, {9.06, 3.078125}}]}}}, {{{}, {}, 
     {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
      LineBox[CompressedData["
1:eJwV1nk4VV0bBnCUMms45rP3cZBzjgw7bxGJO0UjL0qUiowloQglJUNEAxnS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       "]]}}, {{}, {}, 
     {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
      LineBox[CompressedData["
1:eJwV13c8Vf8fB3ASWaVs7jmXq4gyK7LiRcMN535LURpmKFQaqKgImaGUlCih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       "]]}}, {{}, {}, 
     {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
      LineBox[CompressedData["
1:eJwV13k8VN8bB3BJi7VkzD0zFEOWIksLudPyWEZUKCn7vhaFEIVSKClLJC1C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       "]]}}, {{}, {}, 
     {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
      LineBox[CompressedData["
1:eJwV13c8VW0cAHArsiX3nO6517iiiDKSivL8qFeoVCpJRmlRkSJEZLTQEBWp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       "]]}}, {{}, {}, 
     {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
      LineBox[CompressedData["
1:eJwV13k4lN8XAHBL1pBl3sG8YxnaiKxFJfcoRaRkSVkjoZSEqFBUEvG1FlqU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       "]]}}, {{}, {}, 
     {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
      LineBox[CompressedData["
1:eJwd13k4VG0bAHBRQqIynDBzxlHZEiIKvbpR8iqKbKUNoVApQiq7bEVly54s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       "]]}}, {{}, {}, 
     {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVzn081AcABvCfc+/3K2v9vNwd535CelmozNvS00UpKammd1LUSqth6EyS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       "]]}}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13k4VV0XAHBzkowX955zDTfXmO49hhRK61VJg0RCpoqIyExUREiTBiRv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      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13k0lV8XB3AKEZmF+zwXV5SQKXOlbzLkCk9lKIlSEdFE1C9TmVMIb6lQ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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwV13k4VG0UAHBLluxl7h1Lzb1ThEiEmmnRGZOIkpJEi6WiFFlTIRElIUqR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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV13k0Vev7APAjkXnIEc7eB8cxhUhkvLxPfQ1lJkOp5IpCZY4KkSEhlFwN
EuJKigZlSN1uhkRUqCtDZB5Kmee9/fbvj732+qx3r/cZ9vOutTfLw9/BawON
Ruunrv+/awec46LR6FDXMGLVfnsaFXAsZu/ioMOClpwGO2ca0a8F68RuoENS
pkFecN40mn1+8jg3Fx2Gfx/X2VI4jZ6uujUK8NFBceW7pMejabQ94X8pUnQ6
/DsqdZpeM41U7wiIaynTQfe749T30Wkk13xH/pgdHeLn439u3DmD3vNFxqfd
o0Oi/InpvwZm0LLwkMHMEh22J/hUMJJnkdhwqvHLPeJwVG5Tf5f2HBq7PRu7
N0ccPG9Jlh+amkO7sX6myJQ4+J4U3DySO49cIi4t3zTfAr+tA0aE3BfQgZJg
dnL2FlB8J3O6TGoRfS8YzXs+uQXGr0bJutcuIrkocY98EwkokDwQWHl6CY3L
NIc2/SUBOSZfMvTEl9HtK2879w9LgExIvmjg/WXEN3TufLGhJPhbL7rJ7VpB
BFERtvOyJAjoJbubNK6gByulT2MHJcHbW7/svdMqMmsYN9TXlwLRL7jGzo5V
5OVaIqWcKAUt9DETcfM1BJ9U9Lv6pCAr825B3vM1lCOgWVK/nQFMfh6hClEC
4YI83vI7GCAll2S+TYxANwT75GK1GGC/NHDvLp1AV4RSboAOAxyOq/ckSRAo
RmQ8ttqQAbHTNQL2TAIdo+e5PjFjQFf9dddnygRSw0V5sg8xoGr+ptAXYwK9
UJ32CLnEABAsuRXkTaBQQ47q5kQGSOrpcjzwIdAOS1ExhWQGFIjJJg74EqjY
V7P2SwoDmuT3rNmcIlDW/UC27jUGOKmn+jKDCBShNDO4nM2A1zEK6Eo4gYzZ
s55RZQwYG5+/0ZxCoDeM+WNJvdR+3i4PMx9R9Vi7FLzvY4DF0raFuMcE8ouu
6hfoZ0B+h+zpoCcEYoxEHkobZAB7aUDUsoxAQU+4HTLGGEAfvFw7U04g+T2S
RndmGPAhVHIS+4dACacNxZ5yY9DT1pHw+T2B3Iqy7WY3YbBsmGZ4v5lA2t3r
Kdq8GPilNstGthDoO9TxVPBT6zdCouQ+EkhPwJqsFsGgcLQ66WgbgSbuuo3X
MzDgidOu/ecrgaw/XXjdqY6B5nkdgc4hApVOTPDqbMdAzWqPf/4wgUS4HB3T
NTE4wDndfXKEQG36iuMW2hh4vUlqXRslkHN+0+aX+hhMri+piP6g8gsVO3bH
BAOBTL9o/mkCBeB/Cxx1xaD7th6n2RqBWnWEXF4fxACW0o5NU95hH5aHHcag
wczkUxZBoLn4vTqfj2Ag+uJw+SRJoLO/J4+YemFwcjCxKZ6DRDE1OmVKARh0
cR0kLnKTKMP73YGf8Rg0h9XTWoRJJFwYm6iZgEGydH2NrQiJkgaNq0IvYfDy
0kBRK+ULbs8lOZIxsKrU628TJZGf490O8SsYDCzn0t6LkcgcIpzQLar+559/
XpUgUU2kbnxcFgbfk/3GuSVJZFw986zxNgaOPuq84ZS1dXzojjkYeAT2PHGX
IpGsmnO7dwEGIeWehSyMRCsS2+3TSzG42/RQ7Jw0iU47/YjueITBtlmaUT/l
qfTCx/gTDIyZLZfMZUg0KsgUuVeGQZTlvQRRWRJ95uT7WF2JwZ+jLqwsFolK
fg9aDddgUNlu9zJOnkTK23IiVOowMMUe8vRSLvB1fehfj8HVFyOhOgokujX8
iX+lAYPfX9orhyhf7H7VJNSCQalzTKuOEoncG67v0evAYI9uh/WTrSTC6JfF
w75S8bIaDVYp/+cePfC8E4N0/Yf2JiokslrxjtDqwUBJXZpop6y7zeCxej8G
eUZVe8dVSSR0rUdC4QfVHwHHsh/bSNTY92no6E8M/s45+4eyOoni1Oqf3J3E
4Fqm4e+jlFfqSyxlp6j5rItt/Up5eOl8FDZP1VNReqlSg0S5psFWrgsY4AS4
/aLsmn5c6uYiBjat1ofZ20n0SdWubMsKlY/B244kyslnTKKdVjGIOLB13yvK
ZvV61hlrGKTgC4u/KL90Y42KrmMw8nTvK1tNEoU9EH9mR8PBMOKgSRTlHUu8
F9I4cDjY211STnnShLT+sAEHrhnrw8uUi67OMAQ34lBxs9rBfAeJjvaOjFpy
4TC3Sz01l7K0avezJG4cis6WCnNpkehr2McLjZtweEz8ryOE8rW6WhseXhzU
JReGflO2Ea3EzPlwyOB8rxeqTSIet4dj8fw4hP/9rm3TThLVFuc+rxPAIf3D
7NMCyucXM2I4hXAI7LDrtNIhkb5Jou1uYRxmLAZNabokmrsSiV8QwSHFtHTp
H8q+KsfKyc04cB7YoemmTyKFMNdYIzoOxiMT5cYGJPpea2MXIY6DZPl4jIoh
iZwP604sS+AQ2ZszyTYikWixaoWeFA6nJSwuaxqTqHlBJi6MgcPAPtlAC0Si
XVd4pOdxHBav6wje2UWitZ61CS1pHASifeq+7iZR+dbpiiAZHE6plb6RNiGR
Wm2n/RQLh4V0h9RmMxJJLhTH/1DEYa3H1v+RFYncVAqPmCrjUKARp3Pchppn
tzz9nK04aJ5j7FazI5FGw/VJBzUcVEIsFXv3Ue/3RpzTC00cJmy9WP0HSXS5
OUqDrkXZU4OP041EbbRwXj9tKj/f1zo73Kn9fQJfsXRxKGuvcq30pM6jgZtC
4h84zHa2Nx31I9ELvwPrA0ZUfP3ED78DSETLd+z8A+HgmC0unhhM7c9vmTK1
Cwf5FUPfwTNUfj268y7mONS9P6epG0fFOy9ar+hArav+IXEwm6qvTCAneh8O
HBe+6lXnUvFHN53tcsSBCOm/pVxAonFbUi3Vher/4AkZ1QdUPNaPjPlDOHgn
1ct/rCKRem2dZ91xHEJv5s2md5IoZPG1sbQP9Xz/HGfDNypf1WrJM744NG85
Yc8zQCLTjCfNqqdw2G+efffpBIkOed3RvhaEQ+x19pbCNep8bDqz0SOSqq9B
aAMPex1NuNXXFpzHoSWT4VCltI4syjfHjkZR8695TyFUbR3xeZVwnIqh5svM
2XmzzjpKqhkgwxJwUJo53/F57zpKjLReTrmKA3fXE0ZM8DpKmJX7VfU3Dr0S
l9PCP66jEYuAkrVCHJrIgLe3v6wjs7uvTqIiHE7ylIU1dq8jbvv9P+qKcbAa
KzU3HVtHF0tTxj4+wmGrNX3vII0G8T5LA8NV1HwM4NVhGA1i+1o6RD/gsPnG
m9YfjjTwk5Yr8P9I9b+6WpjrAA32Hw4NaPmEg2pJB6fCYRqod0vzJrbjUEN9
UJ31okHXf/4GtE4cbE623AkMpcH2D6LZvwapdbNz0QU3afDtpZPH+2UcbJPc
MOFhGrxbva++dRWHYlGJVHKcBk8NyJWLa9T8BMw8nPtFg0uVhdd2r1P9Kyie
nFuigfazxbqqjUwIP2UbaCrIAUkPbioVCTPhUF3vDkVdDtC99e1nnAITbgax
VYbSOMBjzNe5R5EJeYOcASl/ccBlnaXXWspMyArjkzLK4oD+ts3XBlSYwDTr
TX9UyAHJ/Hv0YTsTPqj9kup/xQF9EU/jVw2YIJiNS4ZOckDCkQTpIDsmJE7I
jHnab4AOeU27I+FMkNrXPWWkxgl4pkhOTgQTbF+vFK3v4AT3TVOTfZFMmNIa
/u+tPidMjJcmu0czIa0zOt3LnBPWStUa/oxnwsbkW5FDHpwgq69s7JnGhFH1
a42jtzjB11pGzSefCXp5jP0cwhth7bQgT/B7JnRkre08vokLeu7nc1jISYNj
xkzboRObYFdBja1rsDQ0+4SuiqzzQrqfws/WGmmIXpK1U/tPAO5gu5sEpGRA
UTFHkZslAhppo2vRPjLwdmPL1rffRSF82Cyw8l8ZIExF73f9EgPFCxLZdF5Z
SP/ukfVmTRziwkqKaJqycMLWUkF7QQLgiKyTzSFZsDnR1zq7IgXGxR0PKuNk
ocHpon3DvxjcGjmRH/dYFvTcG3WqU5nwk09ud1y3LIiO+E+r6crAhXQ8OZeT
BdKt1+24nWQhmH8uRFqDBW2tSbJDIiwoGhXmrXJhwdsFTeaeZyxof2BtkhDF
gjEXpZjUvXJw8E9v2YpiFoQbDfUU9cmB4rmGQs52FpzdKx8/5s6Gw8dZNyoo
tzvtObj5KBsyHMMTT3xmgf+jzmOGXmzYoKFxsv0LC+4ezJFO9mFD72CmZv5X
FliIaIuxgtiQaX3s5e5eFqSV+MkrxbKBm8XVdmGcBbc9FS7eLmCDkdCR2p0T
LOC2Ht5ZUsiGkNXKZ+OUQ6n/jFdFbBj4cvK6/U8WODwczOx6yIZ/kj4fYv1m
geeJMA2B52wIncsf/XeOipfzU9Cing0l/cTXkHkW5MXkWto0sGHog0uT8gIL
tN5M1Ng3ssHhPn/JlUUW6Ihdd3NuYYO6W3CQ+woLZt1zrZy/sMHLsuUofZUF
R0L2H3DsYMNtPSWnd5Tdfexy7TvZwCfWrbudYIF1teO3vd/YsIu2c+sQ5daz
ye0mfWw4M5nKuEGyYMs3542onw2Pusb4rdZZMC7e7K83yIaRht3EOmUxJ9oW
zWE2/B/ZaVX+
      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV13k8VO0XAHAqsqVihLl3mGuJJNkiKs+hEGUrUhJaCKmEskSUnSzhTSqp
SGUrlQptLylpsb+UStZBlLlG1vg9vz/mM5/vfGaec55zzn3uHerA8R3uC/j4
+P7i1//fdX1DBPj4GJDivGLa40MXyuOfyDbmZ8AbRcVDHR+7ECPdXy9yAQPO
LBC+ZVvfhcbKfA4LCjDgiLZSyaamLvRgxuWdmAgDGhKoXqq9C2nGbk6SZTAg
ftO1xZK9XWj1NTEpHVUGbLT9eiVrtgspfLim5GHLAHbM+B8TzW70XiQsOuU2
A5S8+r3zirrR1NJeQ3qSAToT8361mj1Isi/Z6NlWKbCd0n6pUNWDBq6ORVrk
SME3/j7ZQ369yIToYi0blQI+C+nfKqv6kGNo3FSW+QpYXh0ds3RRP9pT7K+Y
mL0C1CL5bk6N9qMfeZwbZSMr4LeI2fCRbg5SCJc6kLtFGtLYiM9zfgANyn84
VfePNEg26GbPyg+hq6lvPu/ukwY3zUb0xPYnEukNOVOwQQbUm/Yk8BcOo79/
nwSuOy8D5zPKpOy6R1DhdMmDyB4ZgMT20BPUb2T2dnCDgYEsLNUJ+7JfYRS5
OxXLqsbLwuCwVD5fziiCBjWDL52ywCtIfxEtw0U5YlrFNZpM6FKbzP57movI
JUKeStpM+OIhkJgUxkWXlnQqROowwaPK0pMM56JU8aRLoMeEFTuP0HrnuOjc
ssHIyg1MWKx/bpNrHBd5MG44lZoxYc/QlF9oBhepk8uFsp2ZYLHrbginkIsq
VnMPBMQxwS5J9MGJNi46tYG/8kM8Ezavyb9Z1s5F2tuWSyonMsGs/1XY5Gcu
KvDWqm5NYoJPYSod8pWLrtw9oaifzgTFnQ4Nfl1cFKpC90xlMyE6zEND4ycX
GSmOHQp/yISjvfErmv5y0bT2wudtj5ig19DGpee46LGJpJTmYybw66NSCT4a
aRzQqfnxlAmu99I6rBfQSP6Gv7LJCyZ4d7a2lwvSiE+e17foHRNkvstbOi2l
0b/McY+E70x45Lu/plqeRpesHPPed+J61K9ru8em0bGI8i6xLiaUlC8auUzR
iNkf5pzSw4SkSiGlY4o08isV3JExwASmGqdSSIVGSltlNl2jmbDP/2eAuAaN
Yk9ukHwgSICI8B3W3g00crmTbTu2mICx43JHVTbSSLdjPklXmIBas9BnNPYP
eC30RJSA6qIwpxgjGq0Xs5qrXEZA3brI1BvGNBq66TJYwyTAhzn5/rY5jawa
zr78rEFAGDuikt5Bo5KhIWE9TQKISY3NxTtptEzA3j5NiwAJx+IsD3saNRms
HLTUJWDj8aQHrQ402pVbJ/HMgACWZ0Hqrd04v1OSHte2EBD4hdMn6kKjl6mh
96dNCfjnyNvtD7HZhX3Tu8wJWFVUGLHHlUbdnU9SlloSEJ4kYXPTjUaHLZzL
I2wICFmyPVL5II18yVtiB50IcOfMa9KHadSoJ+74ci8B/wkw9sZ40kjbLvAG
sY+AUeYxW1kvGvGiLfRaXAnoC4m6usGbRsG/R1xN3QkIslZ/csKHRueq9B6q
+BLwa61kZ64vjTI8a/cMRxNgnSPkLh9Eo6X5kfFasQSUXEy8EI2d0GNUfiqO
gPOMqJIh7LMuZTL8iQT8LsooLw3G/bW/2SaVSsDL1KMSOqdpZA6hDugyAQ9U
al8tOEOjqjD96KgrBHy5LDjiiG1UST96d5WAbeWPhYqwdfW8GPY5BHS2KIrb
heP6qO9q9swjwOt1pk1yBI2mpTXt0koI+FE/nNd6jkYnHX5GtN0jwMU5t0o2
kkajafn3yVL8e1uFemdszhLWstsPCRC/7/CoE7tloUh95VM8P9OZJe1RNLIx
rpnjqyAgLTjTmBFNo7ozERpmlQS4fZOutsZ+NfUnqeE5AeMpgRdeYRf/7tne
V4Xru/OpU2YMjVTX5ISqvSbgxp3XbnXYed5ORcdrCPi+T8RhFvtyX4Po9FsC
SFU5oX2xNIrpeF4n/pGArF8+mcvjaMQvGzy98xOeh2kL8Y3Yobt01bLqcfwe
GX93bP/GgnjFJgLi4j0Fy7Dd3mZuXd9GgGhHyw7zeBoRjPNSge14fyaRqZ7Y
/7lFdJd9JkByX+ybOOzt056hOl8JWDR3jHiDvdh8n4XfNwIOFBob9mBXpdut
KP1OQP7erXbz2PprDO9rdBHwSrLhsG4CjehgjbCj3QRUcrwPWmEXvVGwLOoh
QICnuNcdW8FNtHdVPwGN6ho6adjfiubve3IIUBIMlLyNfWlqLOz2AAEVJZyf
Fdji6V+llX8SoGmuGd2J/a6zoffgMAHoxLzpKHaUek3pzREC9IEzN4+NgsvP
dP3C/WT33RNPxP2vKd7GHiVgJvzPbhK7TOKmjCuXAJs6mWlVbF/Xi33ZNO6H
j0W6LrZaUcKDr2MEPG6OVkLYfZNnwolxAnb4vC/ein3d1H+70x8CNuRKr7XD
dko7LJs1QYBe3+E7u7GlOvf2t00SsDinXNYVu2G17cMV0wQEbBKJPISdGLQl
wmGGAOM1jr2e2GY1660yZgnQ6cje5IPNL7GG2fyXgPee25KPYT9zoTjL5wko
Gz/bdhw7sFDqkS0fCQ4v5kN9sbUnhc+m8JPwu8m9KAh7ZMuc1acFJLRwBCoS
se9coJlLFpFwO2To1l3sg9/7OdsESLDPZPk2Ycut7niUIEiCYsAdGcHzNGoP
rD/7bjEJ7aHpOVuw019XWwsJk3CtpH9RMrb18qeEuQgJpXx3t3ZjC7kUDUSL
khAl0+VtnESj6oLrZa/FSEhKzThSiH1mIuPcQnESzqXUWrKTaWSwJd7GZCkJ
FSfPCl3H5qWGkWeXkaBkUJ2nlkIjbzWPx3MSJOw0UQl2S6WRcqBT5CYGCZdG
LEtFL+DzudraNlSKhNOJQrX/Yu/apz80JU3C5VUbL1in02h5weon62VJkDp+
e7NyBo0+/JGPCmSSUKSV2SL4D42MU4XkxkkSip/+ujB0kUazX2eHdORIcKza
9mI4k0aPV3Gf+MmTcKVZ+t3UJRqpV3+2G6VICMjkBOteoZHMn4LonytJaD1a
b65+HZ/Xavmupqq43uN9a3Nv4OvZ5YZBzircjycnulfm0mjt28yRHeokxEZ9
zLfPx/2+FOVQoUVCveORQotiGp3/EL6WoUNC442uvpX38P2B77TwMV0SdBJg
aFkpXt/rxHNKn4SttIWtaBk+vwxdlOM3kkCZxiZnPadRxbE9892bSIi5bST1
7SW+v+baf96ISHjIXuC+pgqvL7otadSYhAxJ5Mp7g/P7qj/uaE7CN3ZSJdGI
451ZXrNyBwmnVMSn6jl4fw/FciJ2kvDikfyCH0M4Pmdx8Bd7Eja+nW2cHaHR
oM2cerIjCTeP7a5x5uF41M+McWcSarytx8v4x5BG9etDrw+TYLFu2uaj3BgK
mHhpJOdFAp1O3burMIafVyplgrxJeJM925i2cgyZZpR+WH0Uz5tgxf5EjTHk
7H5NN92PhM1BtTek0BhKXBy06EAYCcFK/YeTD4yhIZea6rwzeJ5uVTf1e4wh
y8cSkZxwEsrvXXS0PDKGRNyL+Y+eI0HAcVOJdsAYSqjqnguMxfPCvzs+LmYM
xYdZTSVdIMHM+Z/KrcVjKHZM4Vf5LRK6TPSkZBfyUL+lb/FsPgkJS1w3tgjx
kNnN5z7oDglV5z4GXBbnIUG73T9fF5Ag/fCX9FYmD8WUJA3U3yPBVNqLVNXm
oWivye6+chLErU6+nT7IQ5GdH9uWfyLBzyv/N6eeh47JKeQdryfByH/vxew2
Htq975TvxwYSZJ6la7h18pBGh5xwfDMJKpMZWmK/eejLf8cN+T6TwP5HJGBe
fBxpflqe/asH5+MhH7rDbhx9e+Zw4P0UCZMRnyLyO8dR7cxdjVUzJNRuKTWd
GhhHDwznpmNm8fVuODWwmx5HcU/z003mSRA8IFxrJPAH6T6aeF2+iAXJeq6t
eav/oITCLJU7S1lwNTH64ueQP0j/8rfhKGUWWJ+umfuhMIEODHjv+rqSBXVB
VZJX1kyg83qTL3VUWZC5Ni5k//oJ1NUkkd6txoIThQaGktYTKFF0qwFossBU
tPaISMgE6gx9ED1jyIItfat7zVomUKxrrJyfLQvyGzuS6QuTqE1Jy9b1NAuk
sr5P9mtNI/LispycUBZ0Kw5a/2s0jdwWj450hrEgwlR3Tf62aTQ0WJLoFsGC
7A9B4Snu02i2RP3t/mgW1BzSdv+RNY3YBqpGh1JYsDldMT5k0QzytpJX98pl
gT7PtzihawbNnlwi5P+eBS3iMnpDFX/R17u5/JYKcvA3rtXYR5kfjPOqbJz8
5eBVu/qp71cWQtox5eHGKjmIINetO7VTEK4RJnVisvLwadXJ5hWXhWFtCmc2
wkseuIbpRTI8MTjdZ3bi6St56ChQVz7otwxWnpXOZgizoePjDp9WbwmICiy+
w6fFBgsJa49B/L8KXNkO1s5s4Pz4cfnj5hVgVNBW+DSKDQvC0yubZqThcv+R
3Kj7bJAVltzc8lwWhkUUTKI62OCuklkRjp/jzqaRidcXUvDi/aP0l3Uk+Ivy
AuTWUrCER7BkkRzc4SwVLnekwEaxJls3Wh6aC622xIZT8MA9at293WzYu9+T
/aSAAk+DIveBUTasDHmbv7CZgv6ymDbzkxTsO0xdeoJ9/WgNcS6Qggz70/FH
WvB6/YzCymAKFqxd69PcSsHeMsNC9TMUfO+5qJXbTsG4AK0jGEvBRSuPZybf
KdCxuRCceYkCQUqg6ewgBfFpll46lRRsEnetXjeE82k9td7xOQUBM08fDWIr
Nds4hLykoLvVJ9NumAJSe0/Qi2q8z4QWZ+o3BZ94/B5GHyg4xcvlvOJR0LvP
h0t+o6C46297wDgFIa29ees68eefHOtU/+A4F7bftuqiYMdd0eLUCQrWNK7P
Ot1HgYaLv5/bNAVfHYp16kcocN/28SBjBufZVOvWjeNcXa/iUIutkHDiG49L
gYhkh77mXwpEC8prpPG6xnzrVvViv0uJ0FKdpCBoJJl5aY4Cp2LFEX287r0v
A6Lb5yko+/fxpNksrutbk7/z2M2JVvYO+Hv/A1UjUHg=
      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJwV1nc8VW0cAHBKimRe95zrXtwjhLxGUUbll0ooDZG9KqOoFOKVisiqyChp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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV13k0VV8bB3DzPS5Ruc4511BOIZVQUaHhmyQUlZShDCmSTBkiyZQmRYVC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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwd2Hk4VV8XB3BJGZtEwrncI8V1LvdmqDT4LUKaTBElYyVTkYiQeRYJJWUq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      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13k8VF8UAHBlCUmEmHmYNyKUZIss6URE854ikj0qCsnaYikSihJRVNYf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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwV13c8VW8YAHAaNkXGudc5uERIVsm4Nx66aUihVLZUiIbCj4qGkYxEqWiL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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV1Xk41csfB/BDuFmyfDv4HoozQmlBi8pS87FUKlTol9BGVJerroif6kb2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      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV03k8lfkXB3B7cZ/nqlx5rit8iWixyzq+x2XUJFNUw1XJUtIy/Spm3DIV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      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJwV1nc8VX8YB3CSkXlx7j3mPedaWVlRNPRQIST0k5WZqDQUGkoRmRlJIRWF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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV1nk4VWkcB3DuQfarnOuea7sOKctYKlIx9aVGG8IwiDaVGtJGUUqZKFsq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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13k8VN0fB3BUtqQsw8y9YxlibDEXlaX0qaRUQtFiLbK0K6SFFsuDyJqo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      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13k4VO0bB3BUYijU2Jd5ju3VZlckdVsb5oxK2UW0qPSmZEuIyJJSamxl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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwVznk4lAkABvDJVYlq1+e+5rMpOphR+gbhnRmfEgmdjsiUo9iVK0JKlGuj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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV1nk8VdsXAPB7jRkyFG6oe841T0WFpLIXMmQqoTKkGUllfBUqQuZIkscr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      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV1nk4VF8YB3BLZAtxxzKjuXeEUNbQynkpS2izJCmKQpGEdkTJ3iaVJdlb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      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJwt1Xk4FusbB3BrJGUw7zuWzLwKWZJEIh2+qaRNySlbZSkUkiw5LZRQsmRJ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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV02k4lWkYB/D3OI71qOR5hWM5L1FqslTS/v5pMo2itEyLBkkoCtEytIxC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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13c8lV8cB3BKZBUh7j2PcY1rP0hRlD6pKCEp+SWjNGgqSYtKNIhkVFJJ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      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13k4VVsYB2BzQpHMcvY+ZiVSVFT6ITrsQ0muUHQbDKlumUIpwlVpkBSZ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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwV1nk8VVsUB3AylEjh4u5jvMnYYCrqbsOPPOTqNSnRYIooyZS8KIpKNPIq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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV13k0VesbB/B9jCUijmM+ex9DlLmQIvtBcSiiRChjqQwlQ5OEkFAoikhk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      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJxN1Xk4FX0bB3BSQghnjjgjzbGFslZK6HcrUqisCYUUaVGK9ISUKAkRPU+r
paQkRLJFy1OpUNakUqEY+5ljCRHe3/vP6/1rrs91zTVz39/fPfdwPQ/Zec0S
EBAwExQQ+O91uV/QHAEBAmRTPbKuDHag24KjSaaCBLg+XxxYg00k+huEzyLA
XjehXXioAw0VHNgjPIcA90tWucewH064VYiLEWD5kD1353AH0o1cFytPEDC8
hlVjN9KBUuWeq7qyCehWt/uViC2Vafz0hiwBUhEhLxqxmXcrmEXyBCi9lrNz
He1AOTLqtmqKBGRaKFgeHOtAS5LF2cvUCRBwGnucP96BrulEZQdoECBTXeI+
jS3275z1hZoE+Gw7nW010YF6fk4FGmoRYEc+MKOxMzQGPiF9Aq5VqXopT3Yg
tYLGG9bGBISojEQ/me5ASu+SVbxtCFidP+V6ZA6NFMyVKl/Y4vp62hObsRc8
TT+0yJ4APdh92VyYRuK5WY8/ORIgue2ToMJcGo0mPraxciWgdcpwb70Ijd65
fgzR9Sbg+KfpO17iNArslWgcDyag6Hia8GKCRn67LwY5nSDgXm6hUCb2/m8E
9SiUgILpzDotNo08asj9vmEE7B3+3rpSlkZW+RqCrWcJmEXJ1jnK0YgKNtcq
v0gAY+i7sESBRlViJ87E3SWgaoHGOUU1GrXesZNqzCDAz0PzRB728Fr165xM
AhKiapaaL6aRYnBDbnoWAdPxMWUH1XE9vRpfS/MIMJg6fbNSk0ay7z7qd5US
oJzan5yuQyPPWN1WqMXzkJ5h121Io2MawvvP1hFQkW7yLXE1jWLKm39V1RPQ
//WWGjKiUcHk2XlOjTifsp0jl41pJHLwm4HvFwJ+fLSKtUM0ytl8PvZqOwF/
LO4U9JrR6Pf89tWDY7jf3ZymHBsabS4d9NQbJyBo1ZoMX1sa3fIWjPabICBJ
+8lyLTsaWT5RbOZNEpBlbn4qx55GN/Y5B/fOYkNfaFV7yVYaQXl1abs4Gz4t
JKeGttPobFCJcRPFhjPii8xH9tKI1XFhTdkGNhhoF5YZnqXR4LHb/rKWbFh1
9kKicSSN6sUeZ/hZseFmV/YWOEejeN0OGdXNbJCf6/SX5XkaSYYYdcbasyFt
3Z64vRdwf6yuOHc3NqwPV/lV/w+NpsC0bVYAG+Ifa922z6BR142h8I0pbOg+
siiBqKbRDzvX5JhUNuzjDGcY19CoWeRlcc1NNtic843zqqVRdUBCv+NtNtxP
eVlVUk+jfGs9J897bFBboDPnQBONQv8c1AzOZ4P2DtNLo600Ym/vqc16w4ax
IrWu+8M0Wku2LZTis0GwVycqTrETOYWc+33VQhbWcarL+yM6kXO2v3J0kixY
W70eQ787UevtzpsF/bKQzTVw2hjQhZROsj3TzBZAUGFuybBoN+pe9C6w8u8F
wNSn3lmf3o1uxL/+vK1jAQy72Qodsu5BYu1BoZlGcrAhZlY0mteLJieLjq2I
kYPo5SLK1g970f3xnIfhP+XgWeD6kHjnPrT+TbeRoaE8mDhmmB5i+pCXS7a8
epQ8tEsZ3RI+2I+gVtPwS4s8HOl/KxTc1Y9SxPWyy3U5oGB88Y6LNQ8pSIj4
qOhzQCO6l923iYeuSLQohS/jwFLfb0dDtvBQvGTsFTDgAPtmk/A1Ox46LdUd
XmrEAf8Ke5+323jIm7jpkreeA0oqzbMGd/PQUgVpkaTtHHiH7uw8FsJDj5cM
eAac40B3Mus3ZPBQoJFg6bsoDlwdnVSJvMdD+lbSLNVoDnzW3A3vMnkoc5/e
y8ZYDqxsHzKzz+ah6/cOK69M5MDlsc2nHB7yUMjiwZ+/kzggqDP/qnIZD61R
Htp9Mp8Du0P3Sw1V89C4vtCTpkcceKSj8kG2locK17LYuoUc0LS5GWZYx0Pa
nsvKW4s54LJd52pwAw8tuumvuvYpB+7JnCsYbOIhgUXDHbMrOFB44nJQVisP
/cv55X3+OwcSn1jzrAdwPpucble1cEDEOdfDeJCHDp4qaRNv44Bh/etmzSEe
4tAntsf95IBzmG/v7F88dCRP2O5SFwdMqzYeyB7jIZUNcibJgxzY2nCirmaa
hyKPGrEeCpPg2lbHcpZgkFtGks3QXBJG9iZv0ZBk0PLm6djloiRE9qnFjWG3
wiuRonkkyAm9l7skxaBV4pumSqVIsHwrYfeMxaCeW27d5RwSXnuIraLlGbSp
NuzZZ20S3OVcsgJUGZTT0yNqoEuC8mzu92VqDJKa4+CQoEfCt77VbQPY9YZq
3ZbLSRBpu+iyT51BW9MqZcoMSRCIHGJtWoLrC2R5J5uR8Mz92ZHPugx6Fh+S
O25OQp7J3dQzegyi7neMb7UgoevN+Ru6+gz60VIUN9+ShFHxQ5OnlzFoz8bt
Jae2kLAzpmGHvAGD/BTSxXe5kDDLZOtecSMG1RlIOj1zJYF1K2JHOra+7bGb
5A4SjFeuUTAxZtDwmY0GH9xxXsOHx3xMGHSc6Xc39yLhfNUj1YeIQadfGOQv
9iPBPthPScyMQZd83jr3ncH1b55N1lgxaP6d8Ci9SBJeqRN+htYMOv9zTUng
ORJiddfl3cIOcyuQE4wmISrDYvTwJgYddLjVxI4nIWRXV4zQFgZZQIgjukbC
pUGJwkFbBr04sfJMxHUSpn09i6zsGLSmdPBRxQ18/6Oum2nYyw32Eg4pJLjl
VOrZ2ON8lm5t8LlNwt27t1fecGDQ+AJd24QcEo6j/LzprQw66th7qukBCeOV
6ToWTgziJ9zJVcgjYZtNZWIsdqfEQqm7+SR4OnRLLNjGoA9CYjWlxbj+RPRK
wZlBW0zLpwQek9CGTh90xa4MPaW9vpSEoMnAySvYz3+PxNY+IUGjuPCtlAuD
spmf1h0vSPA5sWX+ELa6VkqI5isS/p3z87O6K4Nu73PJOlROwsvCjMgd2Nc6
aueNv8H1JovFvMQ+2/ykUvI9CRc+dumf3s4gQfnj4/bVJJAj76UfYIdsXa55
tYaEEkev+i/Y/nWZUcr1JDS19oxq72CQx5vLG1Y1kRCxebK6ApskYtjHPuH6
inbP7sf+6HHqR8FnEtT+VlWd78Yg63GfkGVfSWiXH1tsgz3XYsfGI99ImPPr
vugh7BeJtrJ530kwyplsjMFeqbU6V7sN5638TKsce/C49gnfH3ieiLriFuys
10qWWT9JSLcq1/qNreQxr12DJiF39MoHdXcGfcuazvXpJOFhKkcYYV/5PXTi
bhcJ5r9fUA7YkolfF6j24ry576SCsStaatt39ZGwUa2mIwY7Yml53q1+PH/r
TNKSsNHxktA2HgkrEzo3ZGOPl2dbUXwSFLVTPpZiF8jcknMfIOGn7grrCmw/
9386kgZJKHoUdK8RWzPr/MOvQyRUNACvFbtjLPQk+Qu/L2Mbpxc71dzf2mWE
BC/rRK1hbJeEPfJXR0nY/OXfxX+w2S2udNMYCcsPFIgIeTCodolNvuw4CWYK
qFYEO/ovs1OOE/h7nq0bKoG9vnzVpkt/SMhAzjLS2IIyWpyGSRKcO6NjWNhl
btxO6WkShtlX+wjsY/fZj2wEFGCoW8SEja0/JhoWJ6gAgRyx1f91v9nUpupZ
M864OMiRmD1jxSXNj84Lzzjx1cvNIqIzDh29dFpIcsb7NL0Lp2RmbBovovhL
YcZyI5lnetVmXB8qXa5mN+PouX/N9jwx4/CW903S1TNeee1bX4Tqwv+5SUXP
xj14xn+OSoj4V8346700QUslxZl6br/Y4uI/44SDqn11L2acTK6tFJdf9D/r
xHX+ObV3xsEd6w8XP59xbt+pNKJxxu1Djxv9uhf9Xz5NvOShGctNDM99Pznj
6OtyVTLTM55eqGixVICCxTGbDGWxV/EeqNdgf0lfN66JfeSpqdgRQQp8KPEU
F+ysCw29xCwKpKrF1NOxaTev90XYNw+n/S22E+83ndEcFyEKYmRXdZ3Hdp4+
Fz+JnRWjSKl54v5rOEdSZ1Pwfeq+yVfsdylZ9uvmUCB4ZYVp9i4GCfutWUFj
D5yWWnJ1N4MAamWjhCmI7rk4keLFoCApz7Elcym4/1sy/19vBuW3Dn2uxl56
7Kvt1B4GqYUtSCJEKZBMPbf+7T4GCXw23/QI+9vk0/hNBxj0WTdg0l6MgsfF
P4v6fBkU01q7I3EeBQ9VOpP+Oswg71XTEsvEKdhibrLDyx9/r/FaT+ux2el+
4/uP4v2BzivKSFLQ+ZdpzevjuP7LxdV52Ge26c8lQxiUztChtvMpmFryaGFU
KIO2paxriZei4GmyeOfDcAY9nfqTMp9FgcS/+xjjOLxPti6xeYDN3klSHgkM
OpzjLLCFoMAjcK9u0t8MUnEr9LjAxnlq6vF338D/qyeHuBJy+H2dmTzN+wza
zU6uy8K21NijuPABg0x834VZy1OwVmCltkY+/n8oaPyI5lAwv4HNu1DKIMeQ
H7fEFuL+eDFM/HsGaX+Qss/EdlI7y7WrZ5DIUiRkqYjPn7NhuVYTgx43X98V
tYgCbTvLCd02fL5GjioiShQcv2cmemgE76+E8A93sU0DThlNTzCooScvwkIZ
9/uP950PAnx09ppkx1kVCla/+H4mXZiP+n6/SZ+zmIICw+CgHzJ89Np2xDEd
+5pus7iMLB+l3FMRNlen4ElRZ+xmeT6ycw7zjtCgwC78iitvER8VF69eLLSU
AoM9TkoVWnwUcSw7Q0CPgn2KJua9VnykvM69JRv7+lehTrDhoxeS0rKu+hS4
XhB8mu7ARwJ3AsILllHAP86el7SDj0I+GLntM6AgXmnrwrV+fOSvV8n6YERB
6TeNb15X+EhmMtgyzJgCnuU/j3KS+Cj3rVaYtgkFEUaHy4TT+IjnfpF3bg0F
i4QmXNuz+WjfhW0VJqYUtObK1Tq+4iPPXjr07noKynJsVksP85Fg0ZUCBwsK
aMXUPutxPko9bdknuAGfT/jJissCA+i7fI7z9o34+eGBgq4SA8hlw9Hl0tYU
jHdPu19ePIBs04V6gmwpSDPoC+l0G0DgTjlu3k5BkLLhhrZPA+iAcfAUg33p
ra1mYOsAuiL/8e7FHRSIHbq6TK5rAPEbosc/uOH5O/66JHx0AKVuGE1x3UlB
ZLx45JjsIBLQr+7x8aZgzURf8bZtg+jZ7JBT4X4U9L7sPMO0D6Keto8aqofx
PMYHrFXnDSLZZ3oNr7EVTA6zDo4OooPHO1XF/Clol5zPp8SGkCLPrir+KAUL
I7TDlHWHUGiThmxyEAXZWjG+10OH0JrMpvvFERTssRm6bas6jHQnCpr3nMHz
2BBwg9AbRlzrS/MWnKUgoCztA208jGbzbPYfjaRAJKd4VonDMKrUq9TUP0+B
xtnIlcSZYeRYUnbvfhw+j4o/0uldw+jA25t3k6/hfZPkOKJe+gtdo/enReTi
vHQqTx6NHUVLntE3dfPwvLXGfS+8MYrKLu9M/Yp96ILaHeGsUdSywSlpeT4F
7gcq99ZVjiKV+2svtxdQoCs55ypLdAzlHJKPNiulwKxKfMPGc2Po5djrI7Nf
UyBskHTw0MXfqE9MaW1EM943qQPv7aonkNgv83yVrxTING5P/d4ygdRb9qqU
YyuXO90JHJhAXvl5wsLf8f77qWpRRfxB311NqyJbKdi+f22+8PY/qC7LwyG6
gwK3Rcd4r/r+oMLNKd4JDAUvhNOKHRZMobAEhehUIS5obiMvrNwgAP7zhgMU
dbjgc+Bw/04LIcjonC9a4sSFlDyZ2eP+wtBwf5NZ5EkuXEsZyX1Pi4LrTh+q
KJMLn31uxIkKSIJa0Js7Qg1coCt3DX6SloYde7hXirCPFlwd20dKwyWH4Kj9
H7gwX+JxzbSKNMzS0TnQ0MgFX0mBfr1V0vD95z96aZ+4oHo3uqLITRr+2eRd
tvY7FxTqppZvzJIGYe6c+rBuLpSxXceCN8qAiaT7yxU9XEj7orzG214GAiaK
H3VjL9Z4tsJ+hwz8aDxw2baPC6/enjRYcVgGnp7/sJ3LcMH/yz1P+asyEDic
1vl8mAvPz92N2tktA9ltk58CfnEhouF5YOCQDLRXO1Wqj3Dh45qRORcmZcDu
3rzs+FEufPv6RrhcmgXabv5HPMa5kDx1NtBuNQu8rN7vIia4wGfPcg4xY8GN
VYsd32JbyD9tzNjMAjFW80rdSS682DjvmuguFpgKrNBox355L73FxJcFf/Vf
4FyZ4sIZ18TSgGMsePCla571NBeOjX1amhPGAvrN2slpbFFOsH5PNAv+A9cc
Fco=
      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJxN1ns01UsbB3DlKHel7br5jfhJoaSk6Bx9USSH7iqUolBJJ5suSgghkmpX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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV0ns0lXkXB3BCuUY5xzm/5zkP51GiUpF73viiQaEoUjFIkWaaGEQ3lUHE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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13k0lP8XB3BLixDKYOYZzAxZRjLzSEqkd6IUWqTVGiUpsidLEVKpqFQS
IpEspSKRUtpF5SuEpJBspaKE6Pf5/TXndc5znnPnfu69n/vwXPfYbhcTERFZ
Iioi8v9fA5+QySIiDKzSnZwadloDl0WHU5eIMvA11Ov3rWQNME77G0aJMbCR
gWntGRoYLN69Y8pkBjIVeiPUCjVwc8zphbQkA9lVi0MMqzUgjF16nMVgoC72
k8MdMU3MTpNWmKvNgLnfPd24nZpIFhwpCOAzEH65ZsbtPZqQfDh52W0dBqYk
GYc2BWqit2MiyGgOAxV7T8lKHtREDv/Hu8X6DNiH9mTIJ2tCs7g+xdqEgcSN
VpvrnmtCrTptlvsaEm/kEpFNPC0oW6hVVa5loLJYsEVFSwtK97P2cNYx8E62
N6NFVwvShfll79YzUDJ+VW/pAi0Mny5bY2XPgDOdnVOxSgvV9g1hQncGjOSK
PfaFaCGob3r9aCgDjve9g8xrtPBSMjwm/goDM3wr2Emu2viYbStXn8MA3fa5
7qq7NobMtC9QuQyIfn9eXOKpDdXQusKsfAY4lm4zn/tpw6eP//7uDQb2NFPf
7x7UhmJ1g373XQa0zGZO/p2hDdfjwo94w8D72uKCtlZtjMh2Lvz5hwFex8SP
F9Z8rLr705UeZWBpdpv55DV8XHIXjfMZY4AbccPcdB0fK++ptnwbZ0Ah65b9
1c18pHhuDu0TU4D4wL8t29z5wJNXdzulFbDcXmeR7wE+DoWUmjRyFfBgoGGy
eCEf8p9PmJZbKqBXqBD/VkoH3SmDUSsuKiB4BkOLfqgDM/YnFbnvCgjxNpE5
5DgbG8MOj5xfrgiP0We754vpYnOBv3pcqiKSTlnMOpCti4+Xv2QUf1VEoJfM
xsvL50DtgIJrprkSOmpal+ZN0kMPpzqo6owS+h5/4L1/poeUhKdNmz4rYck2
RuecNAEkO0P25xozQRWWXW1aIYTfO+fcfhMm6NHvVZFWQjRXmzfomTKRP0/z
mbaNEFeLZfRugYnSmMW2/muEsIy91HrXggnuovH7oxuEiNWpMqlZzYRzutra
OjchJvmyxgbcmNhm+sLqWpgQ4+Mle+cdY6LbUjxWLU+I702ZhaeOM+GfqrLl
Ur4Q7cXxPQMnmHgW4TXIvSbEc68d9rknmYjWTw6hbghxqlVxMeccE0YjKd0T
t4XQvhc4ZdolJk4Zfr92vFIIu7C5Z96XMHH+ihv/6Tsh8kav3YzqYCIvc1ii
XJTGh891h5s7STyV5W59YjTkav840V1MGBzPzmNNohFwxUyqrZuJwpYDk/yn
0DC1a3Bb+I0JG+s9n5lSNP4rGGf8+MNEwFTHezSDxh8X671OMixkNdz2TNag
oWPta1Msy4JnjxE/R5OG4/yz6tIzWOhOHfhYpEWjcvrH16XyLDz2dV/0kk/j
WJm/tgKLhdHduUV9c2hwGBeaXqqzoPPjzdexeTSWPesxNjJi4aJpuYyDBY1T
9S7DwQtZSC8/nmu0jEZbR+PNO8Ys1DvG7VJcTiNY5Cl/gSkLoWbKTjWWNHKN
LinNX8qCNm/6dNqahkz+lkEDGxYizg3UvLal0ZDwMle4lYWPUc2lu51pqF00
c/dxZaG5IfaAwIXGnoJSXqEbCztn9/j9IJaoupIkcGchJKyiw8+VxkLx6EN6
u1iY7RwxtGs7jbRAE1fdQBYueUZIzN9FY/uWApb2ERb23+nI0w+iYbJmdvvB
oyxslpvZ3kPMWHY1tzWOBaUdE/z0vSQ/dJbx6RMs9MvafJ+2jwZ3WqrjxGkW
iizcnf8LpfG+5FjG2zQWvJMp6fmRNGwVdvMji0j8p9jpa+NI/qV6f7QUs/Ag
Y2d6H7GoqEeZYQkLiadu3I0+RqOw382qv5QFPTkb86LjJB+P7b02VrBwcl50
lkQCjRd+VjfmVLFw9m9E16FEGnijY9TcxkLt5xiblhQa+j2jXSqfSHxm59+t
SaWhLvYycWs7C4OKSZlPiKcY7Pre3cnCU0pnND+NRvW5vCvDPSxE2jpe90un
sclZV1FhiIW9R7/taM6ksTL476NNv1jYbmknaX6ZhvHJat+U3yyYbf46kE+s
+mh3jfoIC88942LCsmh0ahZE60+wICkz7+PMKzR8vs0ZXC1B4UbMmkjlXBqu
UyfST0+jcOR30p4Q4nXcV6saJSnEp66/3EhsaOud6zSdgnZC56f4PBp/i69t
9ZpJIVbB4+ZwPo3D4YI3R5UpNMjtr718ncZFabrgiZBCnOVVq6AiGsrTJTxm
6VN4lNq48hFx0vQ2tai5FNxXjQTJFtNIkDmeBEMKR9XENmYRH5TribprTCF7
4XmTZ7dpuDMyttxYRuGX9Zbajjs02hnBCnKWFILz1t1VL6XhrLD6jfcKCu1f
vta7Em9SHLfQtaYwzf576gfiFczN9JW1JJ7qlAPVZTR0lWdIpDpQiN73sDSy
nEaOcnflmCMFXT/J50XEGioV4VucKaQcXSv5hVhV1WtQyZVCV2jm7BX3SP9z
X3w4tYPkZ+q7LvH7pB+56ed/eFDozzqdLCSexttrt8aTAq35McqBWExNo2q6
F4WYOb+GbxAPqkcWH/ajUDWRsGtdBTmPWZt8vvhT+LBufe0+4v5ZgtnLAin8
tV7kfZG4U6M1XTyYgtuxJau6iRu0jI7tD6ew7ktKvs8DUs/acstb91NQnyRS
m0D8WvuLqEkEBZVYll4h8XP+mb0jBymkcY1O9xOXzf7hGnCYwooV+TIOD2kE
GYverT5CYYivERtIrG81Q14jjoJajsSSE8S5nvSj+uMUqBmv9t0jdg9ZwtaL
p/DdQnakjljt6Fr/QwkUXPL3lfUQX7jqqz7/NAXNS4cnyVeS8yiNDI1PpHA4
9NhxTWLGi5N1X85QuEAFbzYiPtZ9IyopicKPRU/KHIgt/zxs+X6egqn0oTVe
xJMk/pu74gKFDQZf+eHEYVo/O0ZSSX40vHKSiRfMFzOxvUhhV3mHTQ7x0LKZ
ibnpFAb0SuYXExduUOsXu0RBqlvW/SHxbnd9c/tMCj12ik3VxNpBZim3LlO4
2f4zoZG4M8Z2SCqbnO9EzfFPxOlnXK23XaFwVeHN615ixyy/y+U5FPhneBsH
ianig38ZuRSMenvVx4gbHp+y88qjIHrQzlDsEZm/by/lP8mnkPfi0AkJ4lWd
NyepXiP50svVlSGWHKp0CLpOYaXKFzl54qfidUWvCikkiLsbKxEflO+Q1rpJ
wXHV6nyK2FR9cNuBWxSaPV+6qRCP6ovfayyiIHwq5sohvm0mryC8TfqzRuUK
l9jPVt3rcAkFyW/mc3nEeq5zn3y8Q+FTYvqU/7vXd6mKURkFQ8Fm3v+fz45c
F3jyLgV9nXNRqsSuJ91qesopjP88OEeZmJPhr2F2n0Llb3MOi/h9YVR4cgWF
nEuTNysQJz04Xf/zAYnP7WuzHLHdm8w5VpUUIq/MypIilvt4KybzEYWnzXUl
k4mrBx61jj2mUOupLv+P5O/wv7p5dk8p1Dw2LhkmNpftPJ7/jPT3eovLA8Qi
nKHPk16QfMd5NHcRl+tNMnWsIvVQW7O5lTjYlHG2+CUFu3OpanXE3x0Nlrm/
IvPGVvVkOXG+l3na/dcUAtS48wuJPcLtfivWUijT0NPKJP6YEpD9rI7C+RC5
rkPEKfnRE5x6Mi+y5xXv/X89lyduCG6gYF0m8XoH8ZuWoin8JtJvq7Z0WBA/
pH65H/1AwURJ6fQI6Yckm42XX7ZRmDp2XauL2Dui9JP0JzIfPp3k/EdMdYU7
xHdQEPy7ZZRD7Hdjim1iN4WMOAm2DbFlp0d8fQ+F+cciagyIVZVeViv2kXxL
W3ayiV+GxS8//5XUv+3Cxd2kv2dZMhel/ST/fyi/YB/xaEhISNsgBTGLmzEO
xG8K3pdwf5F5ZfK50pQ4XD5DP3OYwkkVMy9R4oYPfO2cv6Q/DjRFHyDzJjbQ
WP7mFDZGbh9vdCLzyykndc3gVDbud6+RXUBs0PLvuME0NoTXRgrkiD/isUSJ
FBvGAzu5D8i8XCBtM3FXjo08rWfvlYh7Lzn1PKHY0HKJepl7l8aD+geaU5XZ
UFoYtT+E+KyE+jZLFTY0E7nJK4iXen/5UMVh496jDKkuMr9TjHzevp7Fxplv
Fc1KxDZvIiua9NhQ2RqyxJncD9d6e6cZCtloOWyewyWWm2xnd4pmo89FzflT
CdnHjDR7Vhqwccgm654L8YbMqpnlRmwc3Je4ZCO5b5yC5N3TzNn4adV6QJ3c
VxUJYYWjFmzItQ3+brpF9ou8z6MblrOhMTHtQTxxe1tJvOxKNh4Z5FiO3KSx
Y4VDacRqNjLq6gwf3yDzXTlL2m0LG8Eb1NKNyP1YayizscKejb0ni80/XyPz
du3eDLYjG2m5CosSiIdiVhi+dWaj/+V1fmcBjX0DX50ttrPhSvn/iiL37cFK
w1taPmxYbffxybxKI9Hj+eb+GDaiHjLuu5L9QDY76ggdy0bp7OtsEeKjHaal
QYdJ/k3NulIu0Yh0KmaKxrEhyE6tfJtB6tHuUqNCAhv1exYkLyL7xnKErV+c
zAb3RGD9INlfRpWEa09dY8NmrOrfzzM0XJ6ds1zQyMad7TNNcIgGm3FMYe87
NmTDI2eWx5D6cYloL24i+bUUc5lPbD3qETb3PRuM1kAX3Wga8+csLNT7xMai
3Lo/sgfJPnX6vZJGHxvij5F4L5z0sxPvy4x/bIy1OjfdDKDB/J0b06epDFG/
AZtFZH+Mmxo8yTVcGdq5ywYvGtOIaqtpnPFKGddVeE/Xssj7k1v7ozVUkKl/
+frvX0I0zqLXOIeqwF24X06yXoi/gdMl/F+q4Imlk2lbiRDvr2aKrlRTRcvP
jT2t54VYcrly9RZ/Vbj9ZU5bf4B8P3hr9NdWquLrahRdcRcijW1WJc3iYH6w
lrUt+b4RxH/5G7GTA0eW29i4oRChn5f53nnAgabdwxJtrhDfYjwNJh5yILSq
ndnAEcJV88Tw0kcc5LhMj4wittxRH/76CQcG5ybOflAVQrHH7WhXFQdTJwfl
nFERkv0zIpNRz8GvwMXOU9lCdA6W1fv0cPBksa/EiIIQGxM/JN3u5YDjdfRR
DnGVgZjD3z4ODhkHntxEfCNwRXvsNw5MXHu332EIsX+48VvaIAfXbj8aCJYX
gjk2NLVmnIOBVzsPjcsJoRmplMqYxkXIhdVRpVJCiDRZ2BQRf29XE7gQNwkD
xtdJcvGb8XPmFOJjH984npbiYtDdM2q1pBA/Fx9VnSnDxa8ibZkmCSHuT/y9
KCvPxdOM2Imnk4VYH9Z+SVKFi68rl7dzJgTQeyu3Lpd4yeY1XJNxASR0F4uv
VOWixTW+dcNfAcpaLrgd4XCht/hOY+yoAFzj9bMk1LjQ/ffzXeNvAfpHnmVN
1uJi/NZYhHBAgOi9BTkiNBfmi1ljzz4IoL7Uua2A2P/JjCeprQJUysxQtNfn
oqdttNX3vQAi2QFRxXO50GF4/2M0CxD21tjJ05CLbVZRjOX1AvjTVfJvjbkY
PlAxy/6lAK59XfuvLOMiVOJk7fLbAsCZu36VAxcWyst7HGIF2G0SOjFAfMdK
4VtXjABJrIYrJx258FZQydwTLcD3urjRt05cBIh7ccMjBUi3HL5ov5ULX2Wl
kMOhJB79V70e7lxUNDQbbd0jQMWksIgoHy4azvaFcjYIYJrbmHcnmuTzt0TW
EEeA5K5dmdGFXERzsxRWXtBDv6SaWXQLF7ZbfYcuTNVD5CnluHRxHqKWORt5
+s6Bv9RQgKqAh4QkJxuPx7rI+SI7rXQjDzvFbi3xUNZFXZ6NeewBHsoLur5t
CJgN+60e3JJc8rxPIUfsng40Q55li9fxUMQ8vNNBXgeOO3hJJcR6U4YNveR0
kGgXemTXWx6y5uRZ7p+uAzGBYHddPQ9lU0OMM6bq4EPHWTrzHQ9Xh2p9esf4
OGvjXm72gQdvb4O8o518TOFN/i+yhwf9+hNHp9zmY5GM86N5vTxYBKfN4N3i
I2DsTlEPMWd134BxIR/t9bvPre3nIWfP3iK/XD7uH33rwBvgwd/l1+7OND6C
hjK/PBjiYfmsHcymWD4KPo2/C/jFQ7C5YMNINB+drzZWaf/mwf03Z4h1kA/b
q1IFCcM8DHQV2zqE8aHn5O/nMsqDbtvq3M8+fGy3qnFjjPFw2ffPHwlvPlIW
aK1/Tvyf+eJ83V18SMq3zBeO81Ad3W4WuJ2PJSLz+J3EGxwdtJJd+Qj+eoJK
muBh5qrrfhXOfFxv7pay/sfDR2lPjc8OfHQ9Mxv/R3yR3CFSW/j4H1LLjVE=

      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13k8VVsbB/AjpBCqY2bvfUJmMpVyLz9DOKZzKJEhRCilMjSnAZmKBtFt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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwV13k4VG0UAHCpZEtkGXPnDkbWshMGM461GZWlVETWUilSlFJkLUtKqFAp
S0JoI2vRgkgopUXZy/KlksqS9B1/zfN75s6dc9/7nuVleO3bsIOXh4cnYwEP
z/ynXkDIYh4eCXjeq3zk7Gom5C6YvGy2QAIaUsM/xhgwQSIlUD+KVwK2WGgf
DWEyYaJs706+xRIQPj22bTuLCXf+uDUJC0pAZsCDDCMrJmidtEikSkiAqpls
4zdHJqzKFJbUVZEAQUmWelAQE+RbMhV87CVASfomT95dJjwTDI05c10C7lXR
ykKMjWB62aDRjykJ+C55/9Xme0Yg/uk0u4YjCf94rW+tUDWG4UsTUdwrkuBU
t9Pvy2VjMKf10UW/S0KrV4VyNa8JbDkWO52+Rgp8P2jUb/IxAefiwBUJl6Ug
m1+g6+V9E+jNHcoqG5OCRa/Hh94uZgHXddhJ7JsUDIUp+c7yseCO+Mgyv+9S
cLVS11CWnwXRkaOhChNScLbqYLmXIAtUPMacU6akYO27YdM+ERYE0CbE9i+k
gK+zlXcNhQULkuci1KgU8PfO546qsED+uKRXjiUFvh4dZclyWXDNedfckBUF
hGIE8xfZ4P30qjPU1lAgavbFvhG0xohHRxmXAtc9+KRvr2OB8cYiy6e2aIW2
p4b2LHBUtlAec6KAZYJ8huoWFpxoC/ii70eB/dzDu5O2s2BEtuVQ8zkKrHwr
Ke0fyoIiAadb/BcosJU+mKoUxgL/iYER6zQKsAPiA7rRPxv+uD7OoMDHfEHL
deEs4PFfZVFzhQIJ3DhnuSgWSNXELyspoIB+1dyqwlgWmDtx88/ep4Bwiudr
ixQWXEpqeOf0iQJ2rzZpx+exYNTTWe7OZwqozxb2KF5ngaHuFx+hYQoEdYU3
1aE7Xov9vD9KAa0lGnY/81kgSNsmsuI7BZQXCchuuMGCw9cmzMdmKGCxxr50
+CYLNlbJFUWISsNXE/eIkgq8fjAkrNBYGh7Wu8fnN7Hg79/y4NWnpMGa2Vau
McSCGzMld6IGpMHGTeJSwkI2dH/qiH0/KA2KbsyHP9CiL6bctD9Lg0axZq7z
IjYEXTcX6hmWhuZWuRylxWxgO3Z6G32VBh0jgcj7fGx4WfxXYnxKGn4XXrzR
LcCGKY91wW4iVBgOD5seW8YG68YRYyaTCmrDLXrGNDYkv/aYPGxEhSnjf6YJ
6J6BN3cqjKmgl75VuAt9mKdB1ZBNhWUu3OEjJBsKmdkUAwsqPN+tfaOUzgaR
oq0TeuupEC573FZGjg2dSc8KtTypYLOu6NxDBTbIXzH3CfDC39+IuCagyIZ9
xZWMW95UWKy7K8gBzd98PU3ThwoCy7XsetFGC6NPaOyhAoMqMzmjxIbMgyZe
agep4HlBaJGCKht2bC2mqsRR4dydryWW6mwwsV/VHxlPBYflgiNxaAnrgsKP
CVQoeXbjVSv6kfY145TTVDj6nVm3RYMNcgKXt82lUKHrxInPOzTZ8KH8VNar
TCp8jLb2CNRmwwbJvaoRpVRo4+hlbFjNhpVCo+NdZVTQ4W8cTEQvWLCrSr+c
Co1Lerufom998V77pZIK5rm7+lj6uB5PXPy21FKhykVTRsGADU0H1t5Wb6aC
n8ie3X2GbID2lcz3PVSQOsXtkzFhg87IzGd6H94/knV/HXoF77NUz34qxBic
cwhB8+nt+T48SIWVmpycV+iWCzeuT45Q4WVo3kgMiw1O7mpSkj+p0DNxbvo9
mw02h2cfO/2iQp2q7JZFpmwwPtuy/9JvKhi4+u1VR8s83vt8xTQVLPm0H4Sh
B5WKo3XmqGCSYfqXDmwI+Ko+YcdPwKB8Ta+tGRu8lsxdTREgYPOtz2WB6I1y
rbZvBAmosTEyT0Prb/AvdFtKQJaeaXgverasxNNvOQH2deNJfuZsiA3VbI8n
CTjaETt3xIINV4S1i+u1CKhtnux0sWIDuZR/l4IOASvF7rYdQact7ZGP0iVg
u1TH/gvoJJHENNAnwHqIducFOlJ0JKramIC2Xc0Mc2s2+Ehkbb1tTcBa2u6y
5WvY0C9xWFKUQ8CrEGFYhXaXtGv35xKg8zAs0ALtJPXXSm0dAQGnCl8dQHOl
nbWvOxDQPyB9/DlajRTjv+xKgLb4Eb8DHDbkk8OP/mwjoP6ITkQMWpFeG7rV
nYD7AtasNLSMjN8ExYsAS+vtJTVoUbmm7uSdBGSmvgtcwGXDKbmr6eO7CDAv
qGsSQwswgh3tfQmQV+loZKB55RWbl/oRwLPYuwbQEysiymIPEKCSGX8iBB2g
4BQwFEjApZ2q9Fj0FwXNVdYHCVjx4YnLOfSg4serCw8T8MbnfXsJ2kOp1MXr
CAHGzzlLqtEflRKkHoYQQD9+6VMDulOZeSoslIDnOz6kf0RvUBFd8zEM13O0
Zt8wuk1laIFJOAEPXPaM/UA/VT0XPB1JwNMsopfPhg1Vq8a9gmIJiGPIZq9E
HzJeUN0SR8AFge9JOmidtWLiigkEhKQlrTRCF/pqP36dSADl1Eo3DtonxIym
cYaA0D7pKVu0fLxD4IkkApbV1plsQl8s2L/CIIWA5T+VGjzQTpURR8+kEqBh
8l7QBy3RdLZj6BwBrWNaM77o9rdZq+ACAZwIxdR96FPDt6PS0gj44X/nbSCa
M/Ww63s6rrfmy8Zg9CL+l7rciwSoGx33PIquo/QnZF0iwJe/9FoY+pjyj4Hp
ywRoLt+TGoE2NOA12XCFgCrXK+rR6J/Wy1MLrxKQtth2/wn0rc3yX3izCdiR
GOQei97ro2PpkkPAbKDoVBxa5ZD5pbu5BKxmyhonoAdjNvwUyiNgzDVT5RT6
6jmvdduvEzDnllA3723XDuTW5BNgVjvAm4gmyiJnJQoJOPs399v8951Pkh39
bhDQlN5yYt7Jr7KL6osIeCzu9HT+/raDdxbJlBDg/J9laTxa8Ocj10M3Mb6r
STbz8TQs7ChtvYXX3zFMOImOFB8QVr5DwPpso0MxaPaKie3H7xLw4WuKUBR6
Rmfh/TelmF/S5mvD0ffMxSW17hFwMNN8dSj6wIYVfrHlBOgtSGk6gtbw0q3v
rSDAq06L/xB6dL8FnVlFwHsX6vh+dF7ExoNnqwk4tNEm2g8tmxWoaP6AgOjN
Rwu80R9uRYVm1BJww/OQsRs6rS7l9Y86Atyf3gx2Qov23o3JeYz3u97xdS26
5dvjj3+eYH2Sq1S1Qsf+61jt2ID7deKlCBvNI/vz06ImfB+F6W800DUai9jb
mgkIPG1WrYQ+zJY4X/aMAG6LOFcG/X2bnrVPKwFRm9W9hdFFfpaZD9oIyMje
940XvSvU8bfUC6xnnJeK05gfvZeC8ho7CODL+po0iL5UFD0n+xrr18ac+ndo
p5rUzYc7Cfjt5p/bim7vKuVTfUeATATLoxz9kPjlE99NgPfYkfZodNr6LbnP
egjwqOk0PYz2D6/sE+4jwIln2/Y9aOJzqOuZAczvpx9b7NEHbvNtSB3G/R4W
TJNGcwZ3nXk9QsAnckhXAC1DedYi9R/Wl5l9C2awPj07dmZN+hgBA5Rn1e/R
ChxpVuYP3J9lxcXz9WwmJCSkZwLrm+tn/5Po9uIP5XK/CCgjmJ8OokPFs3Ry
JjF/O9THHdCd3aoq+bMECAq5nOBDnzxoLH6Hjwak8p9rnlhP3fIv208soQEr
8EfFWrRe179EPQEa9FcviViN7oUn/OVCNDAySdTiRxsKr5+rFqXBs2eCSwux
vo9mu43UEzQIruar6cH6X/e6TmkJSQOPpX/k6tHn+Vds59Bp0GsmZlyItvAf
6m6WpYHqutzTgehLzIBXbQo0CK3Yc5cXvb49ovadBg1MY+5NLLdkQ8noqIC+
Fg2GZ8QXj2N/El3s6JisjdcrBz1oRb9kKo3Y6NHAb4ClGofenNO8vIZJgxCx
hT3T2N/cDon7ZFrSIC7L4nkz9r/apGO3Zqxo4DJ9wj0HLXfj08zmNTRQqf+W
fhTd31N+ZpkNDd42s5asQu/kulaG29Egf6nck5j5/kteE/beSoPq3VlNK7E/
v9AX2VLrQoP3jLyev9jfdRyCs2jbaJB8niezHf0zhqv/yp0GvxsfiR9EH/k2
5m61gwa5Te0DlTgfRD7Sv6scQAOuWbm0Ls4PqbueOn+JoUFVSdvoAM4jy/Ki
4rRP0iDRNvHpTXT8ALvyUCwNlFcytx5FR7iVSS9IoMGdcr90MbS/Y/YbySQa
GDKaThrhfLMGjm0yzaBBQieohOE8NEPRckguoUG6yPiFFpynPBovcAzf0KA2
8ZrGSZzfaBKnJIPf0mBQKv+sGbrTI7y/7B0NvvmUFf1RYcO6mV3HdD/QYLEQ
n9A+tIG60S2NPhpY0SV3b1DG+SrlA0XxPxqIp/TdFMJ5samnfdD7Cw2yD6if
n583o9Xqb2eP0eAArUcvGD1TX7xW7jsNHNUTLvatYMOnqbDjtF80iBErFLkr
j/XAjTEk9o8GPQX/kjg4vwbfkCy15yGhZ3WbxIwsrveUQMSZBSTMUX1titD5
Z38QSxeRoChcv0wCnfLksS2/AAnGngq84zgP24pV0NYIklB7SUfgBprfrWg4
RoiEb8rd6j7osMnUyIUiJPC1lLX14Dztu9Ln3txyEt6fEwnsxXlbMXhrFEuC
hNBvpdtz0L2Pbe2PSZJwJ3hj4E705m0Go9MUEio6lYZ+EGwwS+KX+UWSQGcP
KVHQsx9mR3VlSGjME53rp2K9Vh0vPyBLgsy+M+M30WqP3zl8Z5CwcsZYfT1a
+ndhzH9K+Ptp6V+p0rifV+a5W6mQ4NWYvNQHneuWxbyiSsLWjK+BhmjNxgtj
G9RISBgYUu2j4HnkT3JjkToJP9gbjpSjqzRPZ/FpkuDEy5Q6g7ZOi95UpU1C
SIKkoTn6VMtxTQldErbrv62ho1/yHBXw1yPhadKt0zNS+P+7999nGJBgYqZF
rUDnXt574aghCYVT116koUdf7Nz/mknC+rGmzhD0QSM3xTgTEg6erG4wR1f5
O//rZ5GQVuB0WwXNk+P4zsSUBC1ei+FlaOs3dnfPA8Zv57VnShLjEVqb+N2M
hBm7TKN+9EtT6502FiQ8e9i96TlaOsjMLNeSBFtvofuV6NwPBr+2rCGhQOOp
/3n0qKhu220OCXKvlStPoLWsNAqEbEg4mbvc7jD60BHVqB1rSVB3CdDag64u
VthWuw7Xt1xlmzuap1/WgGpLwqHgFa8d0dZSNLFAOxLKnTlpa+fjs5H6r8Ue
vyeP51nMxxcmVq+0gYQFYTf/mczHd1f4SvhGjMfkYY4B2m1oyZH3jiTcl7qU
rDsfL23hRr3NJJxqVm7RQo/Yzamd3kKCj9Q6e020RvQ037ATCRkV32XmHVTx
s9dsKwnB+/4azF9f9eVb1UUXfP5p54s68/Ey/kv95UqCn8RXjv58vJs++9u5
YT4czwLj+Xjj+jgF7iQ8mXSJNJuP9/4H+YWeeH+TxSJcNOXHm1lXLxJ+C8UM
OKBdlTo673mToKLwmNcVnb219ZboDhLCLa7v2YkePt0U7+uD71uFKhM0H+/j
J9uf7CShO4mHiJyPd7KWLbObhChjK/ez8/GuqpY+7Ivv93PrWNZ8vB73frzY
Q4K1fUz9XbRV6u2WVX4kLDSw/9yAjn9alBfjT8JyZ4p9F7p99np4zz4SHgU9
4h2fj29Hpl7KARIsk73N5XD/ZKeni4wFklAqqtrGRA8/Tx22PkjCosj9uY7o
IP2ESzPBJITpr1Q5jU5YcniRVyjGn3L1rCju91G3+se5YSR8rNk8ro22ubc8
aug4rp9RlL8jWnBH8QK/SBIiFCfrLqHjH/XPBZ8k4dWhDU+MMP9GqVoPqmJJ
OP/r0dIdaJv9oaF/40jYdJcalIQWlJOejTxFgn+f9oVRdFzo+unEs5h/tRKr
izDfh19lVLQnk3Bh7IF3D5qjNhwsnkrCpFVtiTjWD/6uyN9p50mQ3ROSfhwd
a1gxkXORhDh2f+12rD8nJ+S/Vl7D/VBfBtuxnn22CSiezSPhsoeDWgHaOvv+
XtN8Eipn5XW/ofkcnP57UkjCHzW55DAZNpwoSRxuu4nrrRifUoj1M2b3VP+n
Sswfza2pBliPB+usslWqSeBcHVx5Gm0pneK5p4aEw8PRXZ/QixrVe78/IOGG
ek18GtbzaAXvj38ek0D5t0p2vh9E9Tx/I9ZKAs9smpgi9g9/GfncfW0k2PU+
EziPdtp2KOB5OwnM1eQ6fuw/Gl0yAnEdJKz7W1fyHf2+c58RzzsSoi8/H2lf
hfncKnb56wDWg86TCm2a2L+W+uxe94mEL5V3Sx218PnWVa0u/EzCbtOixC50
V5NX644REj79LaGOYf87UX/334evJPzrKb4gq4fnsZpNXs+mcT+OK1IfYT99
+qdAQ/UP7o9vLDVXJhvuGM3NnJglYd/DFycm0bEVeSnm/3A/lUgv1zHG+al0
8knlIjo0+3aF3cP+Hn8jXTl/GR0O5pNXZ3EeMcj4+CVakQ7m548cDbXF8/uw
7+YPSnQ4oLC9wcQO81N/qlZXhQ4niIs2f9F9L5en9K+kg8Cja3MRDrhfhThM
0KIDPU1HPMORDT3H7sT8MaJDvrpd9yIXfP/uJ2UO2NMhJXRr2JNdGG+xRGyT
Ax2u/51sK9yN8/ufrHG5jXRokChxSvZlg3ZazZO2TXQYj5ZftmMvrk/7uK+6
Cx3cOz1FqAHYT8xdy4d30IEv7tOa6mA2vFHQtnc/SoeEWBe94ZNsIM+LXrly
jA6pHkqKA7E4Tyz5PtYTSgdFuTb5njjMh5GSBI9wOixVj7F8n4D9r0St0TOG
DlIey+Q+nsH5i6nC3n6GDsf4i1dJpmG/XS+rtjuHDo5HHpjYFuD1B5fyBz6j
w1RZzf2+VjxPtE54t7bQQf564U6jdjyPKr+vVW2lQ42llU3qCzYYvcsL7m2n
Q8s5q8q1r/D8YAJD6zvpwFjYadL0Ducx3sAGlT465OU7PJ8bxPP6mbfR3b/p
UJ16tWjjLK5PQc4CG3kZ0H+XHpSlYQoNih/MT6+QAcGlk5WrtEzhZpZE9EsF
GWjp+ixcrm0KkekxfC7KMnC8cHNXu54pqMTtFNqrJgM6Nz2pYsamcHDXKsnT
+jJwyjdE7MkaUxBRvqvy0kYGlti5F014moJZ7iO7rYEyUEfv8A1ON4Vkf8Uv
Lx7JwBsXAeZqAYBMmnmzMFUWeP74Wb3dCKB5Zmg2fLcslAp3/hzMAjj6yXp/
RZ0s8F85mpz9D0ApgnJZQkAOjA3tBDvdzSA6uDifR1sObtrxxts0mQG4y22y
dZUDN9GHB3W45sAufHOjIloOTEP6py+2mEPG5z050bfkoEBL+IjDTgv4Iihv
Ht0lB+GHr+o3CFpCRDKZcHUhA2DrF/6GIksIFPoZJKPJgKEZf+q3HVaQP7RM
oHILAwL7in5+Jayh48Z6y5PHGfDg1vXmtR3W4OK5S668kAE8+hmZW7LXgFJI
Y97CDgZMObdvit7NgW07GWnl6KDuxz8E/DiQ6ng0bs8rBuTsH5w8E8ABXk3N
vR2vGbA8d5Z5OZgD3QPntXPeMkDFuSKtJoYD59f71Jh3M2Bp/EC6SDYH+BiL
X0aMMMAvqjRx7j0HWCLuj1ePMuBq4HR3UjcH56OK0hF0oo9zyop+DvS/3nvB
4QsDkpa+ULAZ4cCD+FeujG8MYOzz/3xxkgOHfuYM1f1kwIXJd48cJLhQ3Pf3
bdAvBkzUvdUdpXBhsHVLs8pvBkwHJC6OonFhQ4FQcdIkPi/7eHOZPBc03AIP
eMwwoDdjY6esNhd2rH3uLfEH1yu/nVOtx4VLhsqbnqILRF4QWwy5ICjeZaD1
F9fn8qMPZ0y5YMazWnUQnbRiZ4uaBRcOj50m0uYY0FD1i2i25sLN98NC6/4x
4L0Y5+lOGy58bjT/+w8t9Mbg1WJbLvwPji9/TQ==
      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV1Xk4VF8fAHDu2He5MxiZuTNaSFlKq3K/VKgoS5LsKgqRtUJKKbskRRGK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      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV1Hk4Ff/3AHAipAW5We7MvXeuLFFfIRGqcyyVtajkowWlRZKUUolSyJYt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      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJwd1Xk41dkfB3AUhSuq696v7XvuLZTIUhFNv3qjQZq2qfhZihCFlrFMiyLb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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV1nlUTesbB/B9ms7pFJG9m529jwYpVJRU1LdQNKGcawhRFMpYdG+lUJoo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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13k81NsbB3AkZUmlIcv3TDPKkrF8JRWVPtQtV7lKKVTIWlq4qazJmhDl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      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13lYTdsbB/Bwk0qR5rNOnXNKhtAkJaGvaDrV3iS6GslVUZcmMpSiSIVG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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwd13k4Vdv/B3BSKkMlh7PXMR4SSYSQvcXbcEpKg7oZk1LqFl0Z4t5KCZdQ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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV1Xk4lHsbB3BExtgqzxAzY55HpbRgWo4W9fuivIT2UhFSloNOUyY6tnhp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      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV1nk8VdsXAHDXPDXIPtdwb3dQiiRDNEjtRaUSCpWpTJUUIUQ/0yOpFBI9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      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJxN1Xk41lkbB3BLWuzxeOy/42cLKSRLjdd8PTWSyTIZvBRFlopkLNkShddW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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV1Hk4VesXB3CHFBJncg62HLtSRCJRKH1DRFE3hCTFpYFKKBrN0iTJULqi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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13k4VF8YB3DSYis7M3OvZYiMxFyULNWXpLKlCMnaQoskVJKdkiSiXWQn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      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13k4VdsbB/BDk5AoxNn74KAIkUho8OXiyLTLj4RQuTSXUqnMU5KUojkU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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwV1nk0lO0bB3CKCAnN3GPPlL0SSeUZ6WuSraiUUEJ6W0Qoa6TsSyFJ6leR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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwVk3k0ld0Xx+9FMpWhK8N9Lh48ispQhqicTaEByRBSSEnSK4WUxL2Z5yHF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      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV13k0VV0bAHASIoWcqzjHcLlCKkOGFD0PGYqUSCIhlUolhXgzlDIlpdBc
GqhQpKRSoZIUisjQQJJzTeFcQ8bqO99fZ/3WXms/095rr8P12eu0bYqQkJC0
sJDQ/7+GAQdFhYQIXC1YV2Q6h4YM4ZErFsIE2m0KNNnBmkgJND46hcCB80bL
z7EeLNi9XUyUQMfh6NkjrB9MeL6TkiSwUqXkaZECDXpxy08oEAQ2iCG5naTh
2pwXGhs5BC5ZltqXxlom26z4sjyBQwYlbo2s+6uM+lUUCKyKOjK6kqIhd5bW
2rnKBNqct91krESDTpoUZ5EWgamqFSM6KjRc1D2WE6RNoIee85Y9rCVfito8
mkfg7IpNfvdYd//8e8B0AYFyQ7/sjVRpyNQWNIEBgZ7v721ZwaVhbkH95VVm
7Hrsf2SiOg1qVWk8X0cC1RtWeh7XooGyVqt4tZbAKMmL/A7Ws4tv7lVxJtBn
tGGhtTYNUnl3nza5sOvjrkJT5tEwkvLU0X4jgYbrN+dF69BQtbEhXM+XQKZF
MjF3IQ0HembUj4cRCBtjAs4a0RCw9fRB1wgCN4fInpluTMOuZkL1YSSBNzUa
j0ax9q4md+2JItCscPPLvSY02OdrC7fGEqhhUVDmYkqDapj1grLTBH5css18
hTkNlZIRMUm3CdQ9YQ/vrGloveUkU59JoOtD7w+rbWgYstS6pJhNoEqg/Ox6
1sphdXk377Lx3GMaftqy+fRof3t2n0CBjQdH0o4G+aoGg85nBM5Eu9r/VtPg
c0KvFWsIDJOZatXpSkOIttiu2I8EntEMSYnZQENi2dfhyloCa/rO3VR3o6Hg
T+x013oCJzqmyvm40zDNv9l4zxcCp5gXKXZ6sPNdnXDiQjuBBn60ioIPDWPS
7UsGRgm0cJWTk91Dw+pnAz764wTmNBkWlLK+4St8PGCCwDVeMWSIPw12Rcpf
+/4Q+KS5xqh1Lw2X/dzCeqZwMG/l98xn+2nAsg/P2qU4qFedX34ulIbYg4Vm
jaocPNoa1cePpuGLxtut8moc7EtsTX8QQ4Pux4ZEF3UO+gTcmHsoloYmzaFv
dRocNBI9eEYxngbt+oURNfM4uCL6qurG4+x8dTOK3hlykHgzuUAkmQY5+uSy
5ys46Pj5uqHgKg0DIRmB8nZsPOWoe93XaKiVfJoZYM/BBZttNOnrNJzSo2dp
rObgwCwZ6eZ0GmaGL+044czBN6nhFU232X7JdSZ5eXJwf/AVW6E8Gv6ixY8p
QRx08r8kN+slDZ2XB4+uvMrWG81zduXT0Oa0MS3xGgcfrZkrHtlBw9dppU+q
r3Nw3dCdnJudNHwISu51yeCgrPmNupFuGvJX6bv6ZHEwtb8h8XY/DZGT/vPC
8jlYxlgIG43RwPHorrlbzkFrnqab5Aw+WJI/lGQYDn6g+eQDEz68ebLG2l/A
wfVNMrrGpnywW1+8u2qAg9/lnf57toQPzqcvPYsf5mCGQd/Dd+Z82Cq+3k14
goPf/q2vH1rOh7jBitQBUXnUe7uUG+vIh6rKh9PrSXk8MfmIOu/HB9fw+LEL
tvJ4rWkbL/UGHyhtvWLBCnn0CNspvzmDD631jUdW2smjRY/bWt1bfNihqyk1
tkoeIastvTqLD6FtZcobnORRvLnorcp9PpxfIWIlv0keb5G9B/+W8KGJiDyZ
vF8eZR4WVz5p4YNbTqD68Svy+GH0wOWlqh3QmtFxvaBXHq+K+ey8kdUBaoc4
PulWs1HR72f++fWd0KVSdaDizGxUnrKj9IBMF1w+9ebzBno2hs2IEfP93gWS
7Qcjs5fOQZMm2WvZn7rhz5/HIUaJczBP1rrw68MeuDOe++Dozznoyw/5mpz2
C2zKu5aamiqgcoFDlmVoL2xzz1HQOqaASc7Gwg3GfYA180y/fFdAaf+L18V+
98FVKf2cMj1FfF5nu9PxfD881RH4BMUrYm1Or3mYIgMvFYd9E1oUkU9JTZvw
YOC8g2tG5XdFFCla1dmyiQH/w4U/pH4o4vCZz3qvPBlQ5Ed4JP1UxNjE4PFY
bwb23xdzSu1UxPRS0T0SWxngrZhjnjagiCNywk8FfgzEBS+VeyBGoulMfds1
oQw41ESVfF5IYmnPgu7FpxnI7e6WMNYj8fGLe+JiyQzIiK5bl6xP4mmxObtr
Wdeazu2yMyRReo2RxM5UBtanV8x6bkriQOGn0yfOMeB5QM43zYpEWGD8Jv8K
AwHUTakt7iTO2lIqEZTFwEfjma4lG0nUy9Oq085mwGBtyHVyE4kfl+1vbWE9
FLPS+JMXiZsjfN7Y3GXgv/5eL+ttJGpLJBTNuMfAkVfG+ZoBJD69dcw29CED
qTveuv2KIXFiXe+ykmIGpG8dPaYfR+IRNwHfqYSBhJ/LCg/Ek5i4o6aTZh3l
WTBH+DiJw59axiResv1cd6ORc4pE55dn1tiVMmCL4S5wkUS7xJ7iO+UMjM/W
W5ucy+bfcNpDUM1AsEvP4cZ7JOZm52kG1DDAJN/Ko+6TuH+qtn0f644ZSjK3
80mcuWj0YudHBj6JSFY/e8L2t/e9R30dAzn9P1fRr0hM8rH0SmpkwLv83IrF
jSS6TNXjxLQwQBKJnJAmEq/ffvH6F+sG78NtBZ9J1D0qUev8nYFV4zvCF30j
8XBrpqhqKwMmC5bkLfxB4m/u5pq8HwzMTPk2W6OHRHO96t78dgbefa9p3/KL
xJOShcGyNAPR88vu3+gl8fOsfnd/1uNlOfaqDIkV2TzzuXwG6NHIQ+QwiYr8
Ua+THQxcsw5c5f6bxKXKcR/5rN2TtytcGCFR/5DOtWWdDNToOObLj5MoVXhp
3S/Wx0OtDrtMkNh4ZJ+pZRcDNmWLHVInSTQ023nwHOvnntwO2X8kuj8alMdu
BkLucB46ClFoUMYIUlgbjEpEJQlTeOamhdUA616rvw4fplD4KEVjk1cPA5mn
BxRnTKVQJiXD7CvrLS38DntRCsOuvG7b9osBZZ2vDxPEKBQ7G7/mH+umkOqo
d+IUvls9eOR2LwMpr0tXT5OgsPWCeIRnHwOrZZ+QtpIUXrV9a87rZ2Ca593O
mOkUPpU3LhtlHTmSekRkJoX8eHGtDwIGTK2OrbGUpnC5w2aR6gH2vJ6KoKJk
KHTRdbnZMsiA3zzfR39nUbg4dNBs3m8GNELcj5oTFD5bcszAd4SB1tLVjuEc
Cgm9lL68Ufb+bDLpHptN4eOe2sL9EwzIZus8XqxA4SWT/rddkwxU/VaJDlGk
0KfGNm3vXwYsTk1THqYo1PP1unRbWACT3ya7FylTOMEdeeUmIoBH2oLH+1XY
+JfC8xRFBTC/9PNahsvWf3Hg29tpApjzOzumZy6FB44KQhtkBOA575aXtRaF
zV7p7gvlBJDhed30qjaF12cnXT3HEYBu+blep/kUljgUrk1TFIDN+WiXp/oU
ils1O4RrCCCx6pAusYjCQb828NISQK1QmIS/IYVWDbuSnXXY/XfuK+KaUHgt
N881QF8AwUs8NY6ZUVhfH+t2cJkAnvq7/WszpzA5ycCm00IAQunrPpsBhaW/
757abs3uP93+BGNB4ZhwvvnFVWx+30yGXW0p9AyL76veyMaLlC2b60Shaki4
V3gEW1++1NXDzhT+p7tXSOgIG79D/L8v6yhcv71sLDVWAF1r/s4/6UqhSoLF
0EASG4/bkzrsQeGV6X/+RqYLYGHp662vt7PzDMtQaXwvgKCRkmXKOymMc9ZR
Dqhj89V5NifUj0KniOy9ip8FYJ16v0pnD4VGjI5kersAPLalGabsp3ATt1kq
elIAx8VDp/pEsOfJU/9OtO4AdHuWlWZEUqgj5ltZYjQAdo9mHe04RGHq49xR
CbMBkNyWI7znCFtfim5o5YoBSHjV9jckjj3/dxvGp2wZgGMRDmMnTrP5uvw+
sfziAPseq/UV3qQweMydFiMGgW8XkDN5i52PiCBBjRoEmxtFuyGTwrP9RjoO
vEEQW7uh53U2hUVVh9yqDQchNvdEZ/U99j5xJjzi1g9CzM7RNrqQ7fcZC9+y
y4Nw9Pv7RtkPFFreCM4KNBwCf2W1jL3VFGYlv+laDkOwYdOBgPc1FLZ/J29q
2A3Bwq/KEsfqKHS4cDleyXsIvjTsXSL0mcKWl8F0S+IQ6H2QvdL3k8KZrw9L
3u4agubnLj6VYxSe9jTqtsobhrcTWQu1Jyj0zxXxsCwahgdL/o7HTlLoV39O
bW3FMMQ/uZVi+Y/C3zaVmTfah8Hw4cjrwqlKqCW5P4ij+BsS7lzQzJRWwvTr
bj8Wx/8Gk4vNv6I1lHDrhqupe/aNgE+n3/pvc5Uw6PrIjFWHRyDReLRkkZYS
BldWSi9NGoEftbNS2uYpobRz3y27nBE4Pn2FKeopYTXPbky3ewS+hz+ImVii
hP+Cqr7Lbh+FOK845f2OSugbfMpQa88YNPL0Hb3ClNAjLfmJZfYEUGdlrl4N
V0K/vqif/c8mwFuc6f0eoYR2JhnEnfcT0N2Ve9z7sBKardM9ai+YgMnc+eWb
Y9j8lFS2GZpOgqqp1rKtSUp4RMz7S0blJPg5qMzfma6Eyf/g4PD4H5gMnjEt
sFIJB1CpPtxCCL9lpQvbqSnjS5N32dqbRNAi49Ua90BlnFp+wWRGvhgm+2v8
+vhKGUs0d9QWbJTENNKyQkpBBUt1Ltd0Fs1E3aSOycM7VdA5/MUH4wuyGEbb
7HvyQgW3ti/d1sT+h82Nmn2FkFBF3buhBbrl8hgdkpMppK+Kt76kmTQbKiB6
qbqs9lDFefPUYXsaicuyG+88iVZFb5FZ3xzvKuFF/q706DxVJLy3q2k+UMFf
kmqW0V9V0c+jrd+sWBWjkqnj10S4OM16FdyL5GLg9KEgZV0uJn4JkFAwVcPM
DmmJQlcuLiyI/CFZp4Z1dxys4g5xUdzkyMcKV3XcuHmH6uNsLi5PNwigPqlj
cXOU04Y7XPwsWOP1pl4d1dwvRY+xbrzZunhvozp2On3oXJrDxXNVNXeKvqhj
kJXh/Rf3uOgzQaY6/FDHk5pClhUPuWgv3Rxn2qeOL3rPbWku5uKezFMvLcV5
OPdg+S2ROi5GvbL9pmLMw03buecfs+59NPVxrgkPU9eFHdv1iYuOCvVgZsrD
Kbq6u+vquXjtmpGHsxkPW36e1U9v4mKl6OXSfZY8POvg+9yyhYvOzfJ+e1fz
UIwrWhvVxcVVd1fS/tt4aD7Tq9Som4uLm9OL63x5GDTx5GEX64yC1ytNdvCw
rX73ubW/uGiYVR487sfD4oRPHtx+Lj7Jq9bcF8DDA0PpHS+GuBjWWzNdNYyH
OT/+NAUNc/FX9NaZAeE8bP/gWqH1m4vPhgJfF0fw0Clres6pES7mZAXabzjM
w4Wegfu9x7noHTlYHhbDw23277cQE1y06/PZ+TKWh5cXa7q8ZS1UrVUiGs9D
SbmvJnp/uCitqxGfkMBDCyEj7XbWR9YlT1Qc52Fo70nF83+5OG5cqi55gof3
vnROX/WPizHadUIrTvKQX2755x9rg0PNydFJPPwfMzXKJg==
      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJxF1Hk4VdsbB3AyhGN2Ds5aMlM/RcglKb1cQwOlMmUsXaJbXWVqQHRIOcSl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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV0nk8Vfn/B/BruecgdQ9d98S9lkNJkqhU+FYvW6GopChb0W5JpWG0UdcS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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13c8VX0YAHAUCRV1rnlwj6J7Xe5FZFR6KqTIKhUyU6kUmYWUHdJAScMM
EZUV0nqTEZI0jKyMZKZQGdX7+IfP9+Oc0/Mbz4hycrM4wMPFxaWJP+Z/q7v7
8XJxEeCx5WS2SBoLbnP/urWJmwDPbanwK4UFRJzn2hAeAp4v38HqSmbBRLHr
IT5eAvpceKeKb7GgYNbulZAAASp9z4XPJLJAJWJLjARBgOJ4ztLTl1mQIv5c
3oZGgON/y4rCL7FAOGf905uiBHzhbAuNvciCb/Ua32QlCHjyZc2NBzEsuLec
Ya4gQ0Dt8tF9fFEsYCUJ0dYwCBi+9E5INIQF1zmReV5MAjaOeWltCmaBwH+8
Bg8VCZgiV7scD2LBUO9fH21lAtactq5tOMOCO8zvLRvV8HnmH+usABYoFH+4
abyegNPmhx8V+7DgqoGFxoUNBFQOMiS40HwtDa/f6BKw6tWFvcbeLOifqf5r
sYkApT0/3Ic8cX/gkYOVAQF54Tderz/BArn6pFUHzQgwkf/touXKAlJfrvaF
OQFuTjyScUdZIPY0w012JwE+hSGt346wQOhB7qMWSwJWxHSeun+YBb/iHpkZ
2RBQpnhizuAQC+ptPgaoHCQAIrdNvndiQdV7K7mYQwTkhx90NUX/t6OjetAF
9/vK2td1jix4uLFvefpRAnTqfmysdWBB6sofd2gnCDCS9crpsGOBz/CSDzP+
BJQc+Zm1z4YF7s6X/facJqChcGf6pDULjnYQ9KJAAh7brj5wAe3wRurosSAC
bDQXq1dbscCokMndHU6Acen1yh17WWCglJe5/hzu19ML5RN7WAAZKsaJkQRc
HMk6dAO9NkEzweI8ATsoqu3bbhbQ/fWVKy8T0PpNajzXkgVSkzVNVBwB6noJ
9g5o0WPGJwPjCWgS/OxNQwva76zQTCCgyqnoYuguFvzc7GiVc5OAORWmgc9O
FoyX9/3lSyJggD5QthY9rO5ye38yASP2ZNVvCxZ0K7h9I9MI0ND+LyUIXSdw
OuxiFp6fdYVSpjn+PdNC+MMdAvij88J90JObGTckcwiQETbXMkTL+L97kJFL
QGjt6M1vZixQE8teN5xHwL70v8aV6K2FgVUq9wl4myFrehPtPsxsL8/HfLgf
rmeCDov4d5C7kIDNhps0mOjrKz98Nygi4P7v3x686Aqbs4uaHuL6Kwwb/zNl
Qcsvy1ixUgKWHLccTUWPxLGkbcsI8LYwtAhBi9Z/VPtajvk5+GpsG5rlkvtE
+QkBr5Rer+SgYWGwoedTAjh1yTdo6MPrle3+PicgV+emyRcTFgS28AxueUFA
yE2diEZ0rFeLZ2QF5pPf5T/l6Me5IZFEFQFjDeZJV9FvDa0I62oCtn3gVIWh
v/Sxk5NrCHh46r6CD3rm7ELF/lcEXFkY/fQQepl0W5FiHQH6TwPOW6NXld3f
6F5PAOOb7kUTtJZlWG3xawLMPOIrt6B3fLe2nG0gwNDcnq2DdopR6YZGAuo2
hdSoon2ZfEfD3xJwoLw3VhF9vvLTVF0TAckazudXoVMc88+KvCeAl/G1UBZd
/CdccM8HAugCO/lJdG3ivqs3PxLgv/PcOQl0p4Ya1dNMQKr/0TXi6Im3i3JX
txJAznQtmjf/8Y61x9owPw1eLZx/Xlqg8L+CT5hPLQJMKbRa5jnj3+0ETCic
85RBG2y2a97QifUtZ1WvHNqmc41TSBcBR1orfBhod7/FozXdBOgqbVPmoENF
u3yX9mC+Sl7j1UQnFhTx7OrF9UrG/92IvmcSFZPYR0BiBl1sO7piyF68qx/r
jxplYoluCddIXzVAwC/NU2mO6BE5QfaRrwTcYgutcENzP+suvT+I+xPzJOk0
WtTm4ZapIQIi6931YtCKv6IbdEYIOP5k8YIk9C6OZl/lGAEfppurXqBd6oTc
BMcJkBCUrv2IPn2oZ9rsO67fyrJnGJ2ZHLOsfYKAiIAnOyTwfpWv23+dmiJg
VHsuSRXd2Kwlf+gnARkLjbmN0NPL+nR+/Mb9j10/dRZtUv7DSXWGgDv3B37c
RKcd5I52n8X7bW0+UYbe/kTm09gfAhZElPz+ib55xMp/mIcGaYGqcwGYL+M0
l3TFhTTwNFrzMwWt/59P3WFeGhA8acPz+TgmFi/1dRENOqylK5dj/kJlQ3mf
EA109yyQKEXHu3f0rlxKg9cJtA+96EGpEcH9y2iwd2tcmDDWh1iPxfs+i9DA
cX/yc1d0r6zeXIcoDbSTk8+pYH0J9ytb30ynQX+GS14f1qM2+RpnUTka0H86
mcliveK8/XjeciUNdnnzfLJGt6yebH8nT4Ns93/p79HMD+zTjYo0UD96ZawJ
62E95/aTV+o0WOB68NE01lP6p4J+/rU0cIrb778Z6613+H9LDDVpsDNSW/w8
Wqaj07ZKmwbBQSU9FNZn9yiJvy90abBv0fesPVjPV/Rf0H1sSIPZKF6bYVsW
/PC97Sm6nQY3ZA92GWL9bxJ4dMfdiAa/NBKtstCXVPqXy5vQwIv/L+uQPQuW
BqwbiNlJgyCGl8oP7B/8K75etLejgd4fKy4NZxb8hU2febxoED9ie9sF+1nH
u92itt40mKz7ad+LfnzQ1ajEhwYfU4ym7bD/+Z9PKD56igbpKttf7D3Ggt/N
o5HvA2nwRjI4cbcb5t/x62qZkTTgGqis9sN++vXmRMi2ZNx//9WTDtifeyxs
ks6n0IB/91L2CPoTf0Xpm1QaWLh+Ejt5mgUNXrGjlrdp0JapM305kAWFxqp7
nLJpMLX4Yv/rs1jv5o4r+hfSwGbdGp6DYSyg7RtqzK2mQfmyXcEEzhubpT5L
C4/TQLj+6XLL29hfS031j3+nwX8KeWvFM/A+7n7qWv+DBgbXvgi1o3devlF+
booG7WRCw4EsFjgv2m3FPYvr0/S+EZTDgoiJ2vgfvKKw7cuDBW0P8HzrigQ/
SInC8p+P8wWfsmBPwLnpxK2ioLFooMChjQVWeZ4ro2+JQkiNTZWshBJ03x5I
LR4VhRTTnQM5Nkogd4bmlK4nBve6YZ1OrhIMytb71F4RAzvHPiG9f0pw81JV
695+MbANP+8tv1cZhhyt6AVfxKDyyNbBEitl0FozclDwqxjct3syut1GGd59
EJl8MiQGcjPm2R52yiAgZbt05bgYMNKdxmqcleFkxsTm0RkxWLKmoPbSCWXY
+YieGyQsDgML7hHjUfh8n19gzjpxKAh6zXIvUwaPFvuckfXiYCZ62ffhI2Vo
q9f7yNYVByKqLX22XBmyi5eyC0Ec6hpvpwU/VQbDiLSOcn1x2KDGbxVSoQwR
irXrX5uKw2fjDalmr5Vh4QmJ2W/7xYH1xkRdrlsZ/vwp8dU4j3YsrmnlYcN4
a/qD2Bhx2Gu47dTPBWzoKb44+O2COIzvDV65nJcNNccO2eRcFofwJ4cOGyxi
Q2yH6EbZBHE4MMLbkibIBsYTb77FaeLwaVH/aiWCDbsC1lxpLxGHTU0VryJW
seHuzL2CkF58//3DuWub2dDZ/+5cW584DD41f+G7hQ3Cb3/bqX4Rh4wHByot
9djglbVZsOurOKz7LB6xzIANurs+7tcZEwf33zFL/baxoSnvD/H9tzioFgq2
sczY8NvB2NduqQSc1BFyXGTLBoPqwXXa2hLQqjKh9NIL4/3g8OukjgQ8Hl5Q
ddSbDV29zQWl6yQgbtDk03IfNpzkqmJq6UrA4enLAfa+bMjRThPT3CIBGgY+
WT9OsWFprvWE+g4J4N4xzsV9hg0fL9XlqDhKwK6v7c+fn2PDAes8CUakBPRV
PZjrvc6G9WasnuAoCWh8nJF36gYbCIPsnI5oCbhWEtOz9CYbXqhmrIu7IAHW
hHib5i020Bffsv0bJwE/P25cEprMhvaS86nvkyRAnO/PCO9tNljQXJlBRRKg
4NWQWJDLBmhU1G7rkoDOC3f1qx6zQW1w5ov0ZwkY8lJU1nrChpU8dfGOPbj+
BULPstF86kfHv/ZJQJqyVG/0UzbUJ9zN+jUoAVHMg+rGz9mw115JlDYpAaxz
seueVLDBfUx5wpRfEhYvOF/nVMuGZCHVvEoVSSgprpl59ZEN5BJ+l1VqkpDX
qO2l0syGa0u65ELWSELrHfLmVfSlpTHXYK0kKAWa/HZsYUOw8GBI+TpJ2KCz
YGiylQ0HiVTrfANJmOgt+ibYwQYlUoT/1j5JkNPhcuXqZcMj1ncnr3OSsPax
qaDIGBt81nGX10dKgoeaRup+tJqRyAr5aEn46f/4VzE654hqxYcYSTipcnHA
6hsbbmSfWKkZJwldRTYtSeNsCFj9o3f6FsYXxK8kPYH3aeWE85lCSXBRqugc
+cWG/ySnDkZ1SkK7465jPVwcuLZjz+26LklQvPxKWI6bA8fPln0W+iwJBisW
RjiiJb+c3nexVxKuNG8e6UJ75PNZxH+VhI0f191q4+HAKkPxDUk/MB6rZ4XV
CzkQ4b1uRQGfFHzvY54L4ufAjsagZ61sKdh2d8rSbxkH7g0NLV6rIgW9ybeX
FaGFeXftilWVgkreizdH0U3aCoPb1aVA1+qKioMwB3an1y5/rC0FClE9eltE
OGDns+Jgkp4U3HS10OFewQF3MkNov7UUzER/WWsryoF4lxqrkTAp8K5/XX6D
5MCyzJBI1Qh8P7hfoAYd1atb5nNOCjbWK2hPooPsisW5o6Vgw02/NcbSuP5d
ac20S1Jgm/owdQa9FQIsN16XgoyLbT7mshyYEVMxj70nBTWHwkMHKA54Ww6f
bb4vBda7IzqXyXFgPDbzAZkvBc6uPJJa6IEl0sJZhVKQ5X1X4xz6/QKBN+Wl
UuBQn8W9eiUH8r71Gve/kAJtPpi1W8UBh+oEQ61mKcjv4h0pVeCAFHGe5tsi
BfoBZp3t6I8OZ3uKW6WglbGpmGs1B4xnXALWtEvBBTlTEUO0prLOA/ZnKRiZ
zgr5gF4a1y4mPywFZFS07TCDA6+6Gvv2j+B6LtSnLGFyIFSpMj9tVArGDlx6
xUHPVOYZ0celQG74Q50nuv934BmpKSmI6nsdP4N+bEcNiPzD8zPn6C1gccD3
Lq3IjIuEVXJdbSvRar8XB13kJuGMc1zTFvSdyz8klywkIctr3DQIvb/zy4AR
LwmT3y3fJqFlWJ+KovhIUJ5Zc6YcHfeywoR/MQkVKTsdfqBNREqltgqQMKx5
NU5IiQP8drlfwwRJ4DYznZBHB/6KD16wFN93pmvtRh9RPPjw73ISaJXSzblo
eV/rkA0ECRpCk8eeo7srTMwCaCQUXNVUfYfebas5NC1GAlcz94afaJEcVomW
BAmuG8LD+JQ5UP9TNtRXkgQ3Q88ZGnrTJX6ZKZIE97zgw2roufa5oTUyJAiW
pu3fiH7I/F7iIUuCV41ClBH6hE9/aD6dhOmHSzp2o5UqWs3HKRKGltjsc0QP
LGuQ4awkIdyCxn8UnbbvxfCxVST8urK+2xNtm/2wNFeeBLnWxj5/tPjPnLBh
BRJGySZaCNpOMdNen4HrZ1dNRKJv26VqJzNJaLlR1nIRPRR7c8W0IgnLD+W+
jEdzqhNGLZRwvZeTSq6hvWZjq3OVSaiWvJR/A/2IcyGVj0PCed6ggltoLudI
fwcVEjwtTjxKQhtcC7V8pEpCGo/jq3mfrz/DIdaQsEHMrGv++SYu/8XH1Uk4
cll3bv574ho+vdUaJBh7KNET5+M9fOIJpUnC4nIJoyvz8d5yTfDXIqHKle/0
pfl43x468UGbhPyoieIotArffiPOOhK2cUam5tfrrWMnH7meBL/syfUB8/Ee
t/rXs4GEsvNLo+f3iyt9V+v6jSQEuK7rPjwfb7Np4VUgQbs9YL39fLyCRjHj
m0g44PY+eed8vBsNDm3fQoJ32RaBrfPxem3adFuPhO4d9f7a8/G1a07t2UpC
YjrHS2o+PuE1b/INSWiKXjIrMB+fPjtbcDsJ64UEI6fx/pTnrbJ9ZkyCz8qj
j+bvF1ePrKaECQmqnxttn6ENRKVEPE1JmAjdx5+DbgoUqVSwIMFXbcQjAC1e
KJR8diee9+QfNWe03cCiU227SDguZjyzHT1o+lfpwh7ML/GcJBqaHTrN93Uv
CUs3PfefxnzxKp3s3mRNwlsHWYd2NBc1HD+1j4RzUpW6yWgDyy/HTe1I0Ode
rn0GfT7ys2G2PQm1nkU6dmixH81z+5xIeBrPt0sCza546fzyEAk7OjS7QhTx
+7+e6cocJsEIIol96EescvGTR/D8p5zM1qD14/PrWcfw/q9V7+jEerHvQJJ6
nAcJaqF+exTR0YtOLnQ6TcKzUZlHsVifhuwqK24HkuAf/F3OHr394fKQgTMk
XPFOKlRECxzI4z4WTEIQ9w3jZ1j/ol70/PWNIOGEX5ZtpzwHIk/vmI65jPmi
Ecg1ifX06/vrpY2xJCTdtRosQBsqffVdEU9CRMeBGXc0/6fgn9eukjBTwLgy
hPX4nFbpRPoNEjY2cN97h/U8YkJurCyDhDlNB4/TWO+/bHfPm8sk4c5Vpc9s
tEHaE9eNd0hY/ejSyS4ZDvCZ7x1+mYP1YXQ9pYsOvxfz9c19EjosR62/Y38J
O/y7p7+MhK2Nv705khwI6XrdLNKA61nIFSxAYL+Rkbvt9oYEx8dBatewn+21
9XF/3UhCiCRzYBWa/UlmceQ7vC+XxG3XLedA20c3Ha5WEhTbagL2YX9UaRC5
NdZLwvamjCtuQhzoeGzpVDeN9SDdK7B1AQdqZrPZzFnM51/KdVvRBTp/Z8Ln
SMjwKpAuxv59rjQzbvM/EnITrN+fx/6uXvTrZdlCaUjf2hyp8o8NUXcTV99Z
Jg3DIVwrt82wQfN6x0iovDTYrFjo9wznD6evR3a3K0gDb/irNhH0+bW/n61h
SINR7Wbj+fnlc9PyuB5FadCSj3ZcMMqGaEFDbVCRBsNCwT1aQzifBhSEzepI
Q5tYtp93Hxsi7CNkPMykQW3gH30DzlPNq1TN7P2l4bHoRk0+nO/Iq8LJyQH4
fuoKXmWcBx0WjY92nZaGO9tf8+0sZ8PQ4L1oh7PS8GSGk3mzjA1z95SqHcPw
ex89dis8xPlTm6HrfFEa9n2biFpxnw1HdsgqHU6XhoMFeyosU/B57yX8nnXS
8LqBq+H0WZwfGyb2N9Tj3yP8QmxwHr6xuu0Zs0EaqlJiTbQC2aDTmunb3SgN
PnwLFb7543y9HgZ2fJSGvyIP281xvp7k8axifJaGsvqcM8PH2DBysSW086c0
jP1RtXK3xvk3O517u5wMPCxoGKtSYcOm2y9MrT1lwCRO5mB0qzLEHpcfeftC
BlqcBhzdTipDktTmWiEJWajcOLnkBo8ycC4OzJ09LAv3xqfSwiOVwL/f4ETp
c1nwUzhg/mqGBQpBYreIxXSI3XpU/xX+/zrUN+8Olyodhq6JtYX1KALY0y1N
9tFh6qq/f5qVIujmNN8tDaVDvWZI548BJqjMFn86FEYHqYB2p9VfmEAZxwuK
hdOBHbtimW0fExaOmR31jqDDlsJdn+u6mVCrWquoFkWHDoPigJJWJliWPc6+
e5EOnfQK3uo6JrjWpGYlXafDPafg+NoHTLj+5Wh66AP89wt4XfwDmcB69iVV
JZ8Oua2thxeeZsLjBMeUdrS/vX3aBX8mdBnuuaVeSAch6kVp5kkmrLq7OaGv
mA6XzvsG93sw4Z6bRLReOR3qNEPKbh1iQsXvKo+FVXTwCzJkz5gzYdfbTSce
oLMyD/vmmDHhS/Zjt33V+L614V8bUybw2xS4FtXQISe0rOqFMRNMntw66FxH
hxSHlfrJW5nQEuRl/bKRDpVegovjNzBhREBuc+gnOuT/7FQ/psgEgSn9wlXt
+D3m0HorJhMYXYdXVaIjXcZtDBhMOFCYz8fXSYf+WaWulQpM6LTZVBfRTYe5
ZbJzwxQT3uY67Irup4PW3bu3Hkgw4aFJ8sHYb3Rwm4vPExRgwnutima1cTqE
BdlkSC5mwoTcgOE7tJ7VyiJFfjyvX2wW8YMOLWPeoiZ8TMhOfvrtyiQdutXt
R1J5mHBzvONk4jQdngHfm9OzDAiKJaNTFlBwZabqD+8YA5zHK4JNFlLgEipj
rzDKAEOTo35z6OY3YnyGIwwQFnh0eC8fBal7ElddHGJAStAeQ+HFFHj6xd5S
GmDAU/dY3rNLKSjLpu243c2AGRP+s/YSFDCEfWXD3jOgM/e+7xJJCtYWvnj9
+h0DXgjscStH+67vfySGjqzKsBMjKbAbemt2/y0DxHW3bHgjQ8EWEd0Dow0M
WKscOKO7igK/danTt18xwFNw0kuGQ8G18FPJ/54xoM9Pr+s5eq+8isIp9K6h
+G37VSjIG7r0aOIpvv9KQ+aOKgX1kXqCI08wvnDfalV1CrjOSOsPljPgLM+s
hL42BV+qu7topQz4fsIodAC9Qr6ESilhgNPnG2OROhQopPe4stB6z9dXNKyj
wMynU1r/IQMWBQa67tWlQDLrW3doEQMuTHM/O7qFgqMZ2cka+Qz452LBXKpH
wZJCDZPGBwxwb0mLe4AeLcjlckWbl2xxmdKnoOIPl3vmfQYQ3mEiZwzxe2M1
x1ffY8CNcX7n2B14PrmLUq3uMkDIwapB3YQC2bOZBxaiA95kazWj3cSqGA9y
GGB3b/sS0owCFV7lbAG0nOv5hxkWFJi3yUbW3WHAnYFli8v2UKBZ8MIjIJMB
ZZ1zm/bupSCa42Gqha79MOj3C33NbUxyKoMBwxUVIxrWFPzgfRVwAs1O8W0s
2IfrZx929L7NAN0E58UWtrg+58/ZWmjTC+abv6Mf/JbunEvH9Qawijj2FFQK
OfCfQxfu7UrIdaSgKviIVXYaA16a1jcaOVHgYOEy5Yl+b1C2eBgtLC3ntxH9
Uz3On+lMQc0J/fWtqQzQEtlqn3mQgo3ledfE0Nv41a/pH6KAxTfmNpjCAOt/
9Ld9aJuvn5Ueo/1HZzavPIz3Fxx2O6OfvrqnkHKUAqdeCdtnyQxoeH7DfqMr
Bd1X9+65hu4qOXetE22xVUPdA82V6SQgfZyCD+7L4hnoLcGiY4nueN9KTLqT
k/C+nVqwWvsE5hN5uvcM2tl93L4FTetsr3RAh9vVvhX1pMC41E9BHl2jE1gc
501B+nVNo9JbDGhVPTqm5oP3sfD3umT0EGPv6iZ0YO4Z/gi0oJhaovBJCkzC
mGus0ORS2ab76I9hJy5tQSvxCgmanqJgLPtVNRttMtEfEONHgW7y5ItFaLuh
pmIlfwruXR4Jm7rJALfPz8bq0NJDulQf+tKbRAeB0xQcWrahqwKdWhWemI32
+7OEuxhd8MSzyTCQgrm4kOlM9Lu7O/QizmC+z2W6xqBzRJ8uUD9LQXXR/amz
6LNB7Ipu9IFGi1Pe6N0jScExQRQsj1n46whaac+yzTrBuB6G9nFHNM+LM9wD
6Otdzp170S1K48/jQijwGZ81MEffS3A4C6F4Xtc8srajQ3nebhxFdxAb/umh
rY9t+pcYRsEG6zc7AK3Skv/UIJyC4+2xsevRfFvkAifQ4Rmj9dro9rzYDSkR
FDwhDOc059cnvuCP8TkKdkQK0Od9LsTz8TTazemW5rztxnr9MyMp2PfPZbMW
WsNq17qdUfj8sw8bddBCL1/O/EP7cxtzNqB72BqPcqMxP+XVhTehSxMzTlmd
p8Aj8udnffSFhaLafDEU3I+ZTTdCO7uF/y5AC12+a2mB1mn7WWJ/AfPlx/Gf
Vmhh/UO+QhcpEFl+L8wJ/eV+89oytKLJWx5X9GNJw58HLlGwjW/TMR90bFhp
8fLLFNxJPPAyCO0yzvB+hj5zKGvRBbSuTaK6aywFi94cX3sDTVQtnhSPw/Pm
rDLLRg+p+BVWooW/cnaVohP4bNRkr1BwvnNYvBV9/ETd9zp0X5tryxBar31d
/smrFOjn9p/5gx7PJ1WaEijgMXIIlcf7V0XGfAu8RsHbj2rdOuibEX/usRLx
e0VJlDna0LZTOew63s+eXouzaJkak1HVG3he32M2JaIn1Z7ldqI5bzxWFKJT
+FNYWrcoaPW8YDeIni50ZA4nU5A1eyhoPt8aZZq+JqRQUKfLPnUWnRm5+Y5e
KtYjiV2mqWgL+5Wrk9IocF8P8f3oHIH+VeYZ+P4TebeTmN9nvS37/qCLDLwM
k9G7uyvTczIpGCiQn61C8zzMlFt4B99vUxsSx3pi4+hCL8mh4NtoUEfVfH3p
CLLYe5cCx/Jbtt/RctY3QqfRD7sKr5JYr75aNHxdl4fxh9SoeqO99NTzn9/H
eBOd/7Cx3l1YzbW5toiCmzM/Tr7Eevk9XcLraDEFE04jRjPoXfQ1mUIPKTh5
uvKNCtZbSYmDAqYlFPTKCn9NRmcJ1De9K6NAJvO5cTjW6+ejCfs7nlJQ/Lbr
hGcWA1Yeyb8S+IwCeZEpoggd/qW2WvY5BYLCKQ5T6B1df1hO/1HwWyLt2yns
F22N+ye/VFAQ//e/jqhsBkwUcsLGayiYFGoIq8P+o+BXnbngHdYT03/2L7Gf
2R6irpWgi13X/JLD/he/yz/y6HsK3lXeNgpG83A4ru8+UJDtY8XcUoDzQe9V
1fQW7LcDL9JfFzLg6o6Djzd3UrDy+uz3hdhv+SjepqBBCuh/tjT/wv69Yal9
hcYQ1pOD4Xmu2N+9ZkuLBtEfGmuZPeieD64J5iO4vghvkTc4DzyNer+P+kaB
lQ8t8sF/DPCZTB94Pon7Z53ge7mSAXmf/7R4TeH78Rv2CFfhPNGwp5bxE+uX
ruXbi2iLbMG8S7+wHj2avHypGvufnaeHwwwF+ZaNKok4jxwwer2fmMX+NTzw
hqzF+6212rIG/cLl0YJUtMCKT5oqfygo8C5SuFvHgE1cGsw+dJXacUK1ngEn
Ry9IXvuL5622KL4Efb/tq6DxP9z/6Jrbuq8x36s3//mHvmU5q1+F/h8cseMN

      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13k4lOsbB3BaEUXGNg9mhlBItqiUvknI8I4WKWup1KGkKC0UoSyV9ZRD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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwV13c8le8bB3CrEso6jzjPczhGdnZ06JvPkTLi15RElIRSKSWVEaGoqFBJ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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV1Xk81PkfB/BxMzPuMV/3fL+JVBaVqFV9XijRfbk2yvJLiiJH2lAmRNgO
taWEmDYhrQ5b2bZUv0yJah2rk90SYRw5kmPGb35/vB/vx/Of9+P91+vFBEVs
2KbIYrGy5PP/7RC5X4XF4sE3diD1xK4+clFhNM9FgYd4q6D56fv6CO9ktGOy
Ig/uP9wRHkruI0OV4dtVVXjY88ihXXi2j1yf2PKUy+bhovX40rLHfcQ+ze1n
Ix4Pidtl3SLzfjI7n2swz5oHmyXZbeqN/WRaXf70kHU8NLoc0nIvGiDP2Imp
x4p5SBOflLx3GSRj2u3fD37jYUB0xmb5yyGi/+nokrseBsiyq7JnfEfI5/ND
yZ4FBjCp1VrdM/aVuJr8a6YzYIApx+Cxg3u+EZ+E9LGzy/mou+K00PLLGPEr
j7bIzOMj5dbWwqEVE+Sfi52Flb183BMHV5iFTxJP/8++uv18zPzZe3Zl5CS5
rt+lvWuAD5FJTadn7CRJOdSdOH2IDx89E0HYgUliHdjrd/IbH+J3OQFZxydJ
pMmQ7h4lChUKI888bk4ShWyZ0MaIwtJrxkkFY5Nk2kGDINFSCuN7Wx32xkvJ
r36hss5lFILyr7rqHpQSa4c/ztksp2DqVJxfckhKbLsCGys9KbRcaV3UcERK
nDdeWfpkDYV7zgojijlSsmmG24xeXwqJP3WF/ntDSg6/iJQ47qKgp9ajktkl
JRqlj9Ljd1OY9UDzZb1ESrJS+JbVERRGvlXXaA5ISfbCuwGeURR6St7PT/0q
JQUitReb4yiYxPdOrVeSkdtx+deShBRYx3aGBZnKSJegbm/tLxSa6G9tPqtk
5IqGb4X6GQpiOv+J3VoZ2T30scs9h8KJs97vlDfIyHDNhP+jcxTqq/yFl3xk
hLV7ttvdAgpHBWsui4NkhH83Q/tqCYWTYavzk/bJiKuv5+UTf1KwSMrVExfK
yPnjNa99P1HQGhQVx/XISPePfvT1Dvn9ZYGbHvTKyIJ5khDOZwoP9Y6Hqw3I
SGOz7vCf3RQ+qHu/TR+WEbZJgJbFgPz/nuenA6Uysu/XIdfecQoBCzaUBGlN
kY1V9BWhjiGOr9D5a9x2irDb9x8odTZESEJNYUjUFJFKb8XNzzJEdeehBoux
KVI2fvV68kdDiHNXxjitYsFd3OW8cKERntZpXbAsZGHbD+VG1keM8C53ZffW
ryzg5ayFb9qMoJFX5ernp4AC7pzyx/bGUI6N16//QwFVs78ExaQbw6loR73U
RhEPjEdCMlqNsWj2+4RjRYpY/VJ4/7WtCRQkeV5NBko4FfrET5JqAmNhustv
OUoIFJ/xWNBigpGW0NNWhsow/Fqa2mNlCp+Ul8IVZ5WRqbZPOSjRFBGaFjxV
KxUkt9W36D43xavAp7u8SlTgdO69JMXSDNkTvVoFTqpomT5n3dZ4M5Sp5s5d
/kgVk7Ga6tHPzJC2vclduEwN70pECiummSPYuIiuaFCDy8WHa3+INofgy/pn
Ed7qyN5tKfnroTksPn2qzGxRR76Jay3XSID7bLM1p4M1YHesczJphwDFVjvs
5nRoIP6T+57b1QJUYufNymg2+lJ3OsgeCBApLLCqiWUjyOroqNsjAewlz8/8
HceGx/bmxBePBaizM4kbjWeD3xWc0VErgCoraObCFDYqJEkiXrMARz12+d89
xUb7UFVzZJcA1efyxx9UsuFzqjXn924BdLf9srLhFhu1Dor+kz0CpHz3U+6H
O2xci/X8kNYngKmG+QKle2wcGG3pyx8S4KJRxX+W1rBhODGsVi8VIC3/dkbN
32xYCak8ngaNlcnX3iiNscF6vWz1TbkNnux3c5xg47V9jHQjm8YbcvhCmJSN
rH9eBpzk0Jjlr+nUpsDBIMkw19Oi8a0zvLGLzcE92WSBtj6NGuf+yiwzDrwS
PhSxzWisWVCYoL6MA9smnY2lcvs/t3A5u5wDdRuitMKcxsY7g19tVnBQ9TY3
+IiARrEpxzFgLQe0s9d09Wk0lrAWT/3jx4FkTPyrygwaUTH+l2IjOEiJK7/M
mkODW/oxveE8BxZuW9vK5S47VD3OusDBQy1d/ua5NPihTa1zRRywLsUkV86j
sW6YK71QwkFCk/OWnY40zmeV/Xzpdw6i59TqNznT+O532TvvvzgI6uk4UOxO
Y8u8LMOVGlxgK+21xp9GRERF0b5kLsIXxcv65Q443rBmcRoXOUZ/F58IoLG7
ZfSLciYXA42Z401baHCCKkzzsrm44DFasPlHGqV2Z6cGCrlgzX3eHRpC40VE
zSurB1zcV05ISo6kMejxvuKpgiaWlLaU3U6h8ezK9z99yNTEuY4wUUoFjYL8
4B7bNi1I2NNcU97SSFBQWLzZXgfCbNPMC0oMSs7fqOVN6CCaMxxjbsfg9LrE
x279urjcqa1xx4cB22XR+4QuPTSWrV6adpDBMh19G8UhfWz+MZS+VcrAvLbZ
cdDaAFb7xZeUGhkYRh3O7wjgI2A7k3NLbmPx/cUxwXyc2hR/JKyJwbzmNx5K
O/hQtLMLb2xm4H0zt9Ayho/Wj6fniF4xmBId84rP4OP06pC7rq0Mxiq8j+y8
xYcqo9Ig7GLwqXhymrcehcVaWx/N72ZQdMf6ho4hhZiJ2ze75J7Va3mpzkye
i83hZ9ZLGBzQ233DY6a8RzKa/Jl+BvP/+13welDYOyzqrB5mIHCwbbko743y
f6WvYkYYxNcpRsXGUGh/7lNr/ZUBv1s3bPl+ChtKOOXHRxm0a1bt7U+lYLsl
OipwnMGqvUaStXkUtq2sD+ZNMPg4VhQ5W0Th/IIZXk/kvpOrvV5dnvts/bdO
9lIGUTdCptfcpODCmj+zXe6JbX/wi6so7Os9apwjY6BdIQ4+Uk3htzefOaum
GChWgLOrhkKH2FU6Jbd1ylvuhjoK/wO7c9fd
      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV1Gk41HsbB/CZQXZi/paxzf8vx6l0ZclWntPvJmnapDrWQjiWcLIWT0Qe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      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJwV1nk0V2sXB3AURa6Un+GcY/g9KnQrUciQ2rkioReXqFAIibqJKFTGEKKS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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV1Gs0lAkcBvB3mGEwMrzvDDNu8yqyORuWVq3oofsastqOErGzi67aMmTZ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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13k4FW0UAHAkZcmW7d4Z3EFF9+LOJVupkzYpkhQh0qJdG1FJhGxRqCRL
QpJQSLIUkYQWRMuXpaxZkqLsfKe/7vN77swz73vmvOecoXYdtdorwMfHV8PP
x/fvV/fYmdl8fDLg5zXApzuPDSn8I/Er+WVAQLrKXlOcDTJRJ/X8BGQgTEf6
7iIJNgzlHd4nNFsG5C4WySpLsSFnwrFKTEQGpI6ErWLIsoEbuCqMISMD77Qe
njFSZAM7QUxWR10Gohc2t3G02KDyOkHNxVIGPLOWV+VbsYFco1JdtlkGVI8r
iApas0H+2Z2jyltk4DRjh+nmrWwQe5hR+GmrDLSn8eUO2LBhJKrQcoM9OinZ
cMkONry2/+DFdZGBIUOja4P72HCqb17j+FkZCPRWHCa92VAjci7g8l0ZKPhR
84SbyYYxiQ6j36MyIMSNKGKLc2B+Z/jyYlNZOGIU75riwYHvcUN+62/JQvxf
ac/jwxwwIb4pSg7Kgn7pZd+HxzXBxitoLGadHOQ89eVJCmjB9syTqqHxclBX
E3q/IloLvqZ03877IQfXhYy//NHQBpXzsruSV8vDz5qdNxXeaUOP8utT1dfk
IWazbGGwPhfirrz8bNspD9939bICg7jQ67ydldMlD8GxtRL9wVww0Ol3Ef0u
DwMtOzmbQ7nwvlFq+GmvPNTP2TFAhHNBhNghrjooDw9c66/mRnHB886QyY9x
eeB+WbSnL4ELWwpZGb6SCpAZs82EzMPrO854py9VgBHD5AqHFi6c+OSU3r9M
ARbNEVL1beXCf69Xf9BargAxXmGpKV+5cC9PXCsXFCC546JKTxsXTAOTmovW
KMCXdaEz+7q5ELi4etmbTQogvUn+s/EgFwSPMyZ+7lYA/d+3rCz4aZiayvdY
ckkBno6dKlGhaBj8nPwwMkwBDFgr0zRUaGjLu9zzM1wBJi3Ui7VVaXh1ZJ99
eoQC1N7q3We4gIbIZrkVytEKkDgn+JuJBg3qT92FhJMUQD7l2E8tmgZrL51r
TfkKYMkefnYUaLg/npXj164A02/K5fMcaGjpfB/0X4cCLPzxOilwBw2SdaOO
dJcCVOWk+W93pMHtrolo63cFGOXvsJhwomG59YfdRgMKcKOhWUR/Nw31mVMy
v0YVIKAjIfDyARpGd270cBRnANcwsLrSnYa1lT1LDQ0Z4BFjb+Z6CdfbuHPE
04gB1YfDgsTDaGht/5jzZCkDTC63b8hCe/K91DBYzoD93dzd/eE0pBsmyeuv
YsC8H8VNuyJoEM+wG9I1Z8CzCIEVhtdp+HClJp3rzICoFwFfwm7RsNcuk6Ee
zIAgHbPYroc0LLNkt10IYUCu3q9I92waZNbeS28OZUDxmxAJwRwayug7S6PC
GTDj/+aGci4NLOH4HdNRDDiaLz9smUdDU/6l2w0JDJi7YFgqvoAGK9nDGr6P
GBDS5ybW/JwGqF1s+F8rA0Znh9wVq6OB1zPepfiNAZmOh697oFUFaq46tzHA
s3LB4ja0kO6hwe8dDCixGoXH9TS8jr5/d6SHAQbScjy7BhpsnThyssMMqF0j
YBXxkYZjA5pDm+YyYW9F3tjTZhp2zZlOjBJmwn7nlb2KLTRsYb21+CjChKOf
5lw8h9azck13nMeEBY38pUtbaZjMy3I+Is2EQM86k0dfaQg6p10bQjLh5jdm
5rV2Gm6J0ZkVXCbE6Ko5Ej00kPPm7lfjMeGxh5a+J/rGvFYVPx0m6JoG5Dag
r4iH3QA99GTX9Uu9NFyQ7PErWsqEdXHK4qN9NLjI3LbLXssEAcWwvqcDNHBI
qbnxDkwQVL1aIzRMQxr5vWxiB17fyD5hi16gWHLOzokJdYf8yu6hlZSODMnv
wvU9BOcNfzAfWVUtkfuYkPHzSlzIXxqGVH3zgk4w4cDNjTpjozQUsn/tcgti
QsM9T/kbUzScWspf9Dr43/rfC7ageRuk5i8IZQI545eiOo35dJAubwxjgtvH
sIlMdOy946r6UUxYPfZZrGSGBq9Fv9vH4pnwOWTyaz0/D5arDu05n8sEFp/V
zrLZPBjnzXr68RETDn941zmNfmwyX5b7mAltL4+pLBXigdYunYqvT5jwa/H9
5zlo5dsnF5g8Y8LSY/2xCXN4wKc83ClYxQQnt+GW/cI8eM784xLSwoR5v6uj
X4nx4Ia5TUpNKxP4GjNqR9GuPgXfxL7h/uc1v1GfxwNm1zmHy+0Y32WhskHo
E9lCVle/MyH4QV3TKnEeqJkqGCf8ZsL03MSdDyV4EOi+dH6OEAEbjUV7d0jz
wDEt3nJoDgFr3oc0XUTrfpkJ0xUmIDPe9foD9Fd4MTdflACvwJc7+ebzwEDM
fLpIkgD3sqtWt9C9SY49FUwCwjxfFNfL8MC81rfksxYBvnFV+pLyPMjq7RXW
4xLg/eYmsQQtOdvaOpIm4ET/YMl2dL3hwh4zXQJOLY40S0JvS66WLjYkIErF
7SBXAdd3ar5LwmoCVL5K9QGDByVXvB6Or8HrN3DandGs+53j29bhes/tib+A
bmvNvyxhRsCsI1dty9H71jsU+Gwi4Pvvp/0rmTw4Rt4R221HQJzR5SQdggd1
euI2JfYE/J114pUlmrfZ4zaxg4CdrInsI+jhgPV6DU64/2CL2lT06Z8/nNbs
JcA8QXGZHMmDC2V6uYuOEXCwxfNbD/rq/lfb+wMI0GUI9u9R4oFEql8wHUiA
Qs3YstPokPblBaeCCJDrPGkfhvZ1zFPgDyWAPa7Ln4d2tU76KHuFAOe1ab/4
lXmwDry2rrhJwAprcItEl53TD/CPJWBg0++UZPTyot+PquIIGNy2KOURWlfv
gIz1LQKea9uJf0CzONve708hQC89MUqOhfkqz90cmUXAZ7MU13C0+9Y+n48P
8HkBF8Lj0IORqQ/JbALMRkvOpaO75ylK3s0lYLtiYHUFumGWyLuiJwRMel9S
GkdvWlkxzVeI649OLxSieFDt7aO1tgjjPT9g4Xx06djfsNqnBCjVxR9hozN/
tm/sLCOAcE8p3I5W17zltfgFxvN1X+MedMpBu4yjFQToP9r4/Cj6Zmet6Hjl
v/+D5wagL355Wi3+hgBJA327TDQ/4/T4lrcEJGpHjDxGe23TXRzzjgDZDue9
peiTdenBqvUElDKu59Sjd1ZGmxp8JKCg/rLMHzQhc0nW4xMBXWXu4lPoDzt9
2vI+E+A3e/YXQRUebBzf76XTRMDyfRv656P1NY0ean0jgPyWPqiN/n1a69yR
NgIW3RP31UNnvFQxy2gnYE74yY5laJWdoh0aXZivUYfV1qPFo5rkF/QRuC6L
ECd0VWttx+5+PC8vBnL3oP05FdlJPwioSuh+eAA9XpG5gTVIwJIBiQUn0XnS
SQpOvwj4vXVrnAf6mNP1zvjfGM8Q5e6z6M5R7/PEHwIaXLf/9UMnrjm50e4v
Ab3X3hUFou0i9zFiRgiImNdqHYquZVvmyo0TsDb9B38kOtRztc/WCQKaz0/L
XkOvrTAwvzpJgJPy66loNL+0JvP9FAHKJk4FN9HFjlS31AwBQ3o3TOPRHvdl
H1nykcDMf5t2C80bFfa9zE9CY/enhNvoH6unzd8KkBD+8pR0Mjot4jdzniAJ
fhdLZ6Wgd7d0dW+YTYLgjncn/lmJ/eVRiBAJk9uLnP75k8c736o5JCz0jK3+
d3/Ui3KLucIkLAkPzE1CW0g9IdaJkHDHPJr573lzHTO+B4iSILyibSYBXZ6e
mPdCjIRSYZ/dcWjvkasXZomT0EYHrYlBG64O3mQiQUKVhHTqv/0PXzlH+kqS
wCWWBESgHzQf7ymRIkHeQKT9EvrgYpfH09IkjJ5IL/kX3wUedn7GMiTOKRzi
AvpruYWllywJtb/v/Pn3fmIlVykWyZEgPVtrkzt62w793jF5EuZ//G+RK1oq
nZ1vwCDh7Luy8y7o13+V/T2YJPy0ntzmiF55Za7SH5KEiNtP/TaiJ5sme3WU
SBDVO/HZBP1Y41f+CWUSFv2uyzJAc8o/bx6kSGg+2/9JBd0t8VZJW5WEcrkG
TXl0kkNZ3xE1Er6dLBUQRSv8TQ/oW0iCswS/5i88D46LU53WqJNwULtyS9u/
8+l42/CWBsa7dnvHv/OkXRn9w4pDwrqJbaty0G4TkZUZmiRwCsalbqMLtcNv
C2mTIObUbHYZvfaG/9ZCmoSRqrqJA+hLr89ry+iQkFhGum1D1/OdFXbVJeGc
CMPG5N/zDxx/SumTUDwYvUMB7W7kuCB4GQkP8rKOPsX6U+i6fabNmIToK0Fw
B82XbP152QoSvhb2eV1CXxLdEDa4koR93x4bbEenNOn/sVmH8c5eXtKH9bHe
W6pioRUJfLSQ8h+svwq5Yrd8tpDw8FHJo/dox+45p/+zxvXLp+Zno3s2TXPC
bUhIsN81+zCaj+q7+seBBEk7j/LPitjvy1/sebGPhMdpm77GYD9wGylZrnQA
8/tXg/VRdCG7SMHzIAlZwfIGq9Frrma/Zh8hIVdhyYZ+7C8OexN0o06QEFTh
lroEHTrHU3DXORKGxpXWZmI/63WsKE/xJkG/0F79HNrssbRf93kS3ta4hG1E
i+zN5D9ygQQjC72vPdg/Q8rapj0CSahTq0pXQgefMx8LiyDhVMnx9mNyOA8M
qQwU3CFh4BRz5xPs911mxzInU0mwP7K9xBO9Nunp4RVpJOxQSEs2QAtttu17
kU7CavMnE4+lsB5nhX1/9wDPd+ehvkxJHgQcGG3rLCDBosP+oz/OH36tbz5K
vSXBW9hky0ecb1yVVFKOviNx3VvqfdG2O04de1NLQv1Gl3I2WuuLknDwexKm
vT9MnJvLg/8+HDXi+0zC2p9NlQTOS9y3UvED7SRsK9rctEyQB83FW3fVjGG8
Wm3dZXF+ezVxT0tjggSrmyE2WTjv5RhNj1+cJGGZ90zmWnTQk9QokxkSHIQn
8t0nadB9NPKiQFAR1qnpmLwZpyHkfsyiNAlFmJLes2LXCA36N5v7/RcowgaF
ZeZqgzhvfz+4rWmhIjwuShHL+knDJb3REh11RTi6etM6ffS3eumotsWKMOtZ
kpYpzruhoqaGwFUE0r725e5+/L7xygmYMFKEu0FZGhe+0xDoFKh0wlIRUsVP
kA44j39Uoy2dzirCcNPF44Fvcf6+Lnnrlpci6DHcro+/oWHnnMEfrecUwbos
1uwIurcnK3SnjyLIqZbs3Pwa5/ssTqVzgCI4X7dZI1ON3y+G6sv3XFaEgVeR
I/4VNBw0V+YcSFaExWmFOtLFeL37vLknaxRhwUhAVPNd/L65l8xvpqIEjy16
X8ufomFlStkmu5NKENR4Z6kNfi9Gui7orytTginlkJiPgjQkECbVYgxlCF0j
Tt8p5oL25e5JnwPKIJKzPk3yBBfOdq49/qRUGdq5x0qXMbiw0Fc+XkaYBc7B
4ssWemuDv0dmGh/Ngl8Zl4v2N2oBOLG2WjiwYPudT8aePC1Ynv7x/hN/FigO
NDANMjWBO5H3ZV8ACxwuEQeV7msCtfGqqPxFFqy7kSMmdE8TBAcsD7kHsuCh
SNKGzymaUE1XL+aF4P+Neg8ux2nC1oLie/cvs6DRsVVg2SVNOPzq9t2EmyyY
o1ZzIfKwJtzsOpTs/5AFt5Tu2unQmsAu6brNzWbB8ywD81PamlAc7ZzYhF51
h+NXqKkJraY28bq5LBB2nXqydrEmqN03ie7IQ4uGm7mqakLWUUbo6iIWkF9G
/o7JakL56MsTgi9ZYKmf/V1gkgP9Iiom/l9YkPjA+O6HGg6I/FmTq9bEAr3X
tOWFag6otx5Qq0CfkdMR167iwN7cbCGhFhYkfWdUhb7kQIv9yprAryy4Vp9o
YPWcA3UZO61DO1lQWzLwQzqfg+/xlkvkTxZ8yNNj7U7mQINB+UfeIAs01Rlr
6CQODKl0m75HV3cEePHd5gB3RIst85sFXd3pKkkJHLh369nPa8MseFT2Zf3v
GA7EDTZ7xoyxIEQn4VfFFQ74RpKhibMoWL++TsboPAf2DJZfsBCkIEkwPHC+
NwdMLQ6dmUT/PMBnNODFAUmRwgO2QhQk/43dcfcMBxJ9bUwlhSnYffJlnPop
Djw7FjnbR5yCpx0t31yOcGDcYq6PE4OCqZS+jDoH3G/GA495TAps4tSa6+05
UCZic7QIvUXJdH2jHQeCX95xlCcp8Haua2i25YDC8lXG75QoSFlxPm/KmgN6
mt7jy9UoqNf54utpzoGTosNuStoUrC5dfGj7Cg50nFndWor+GJulcmU5B6x7
r67fzaUg7ahab6Ux3l+1RCmNpkB1/Hya0TJc30WPSlqXAmJo7leOIQd8BCYY
awwpONAlQa3W4UD4GH/JoVUU/K0VVDZW58DMfisN8dUUXFBPjb+2iAPHPiVF
PUT3nE5U/7mQA5vzV+3/s4aCmQvs3XcWcEDGPUDqvCkF6mcP7VNS5UDs4Nw9
keYUXDsoG2WixIG0bgnhAhsKBM+r3beS5UBBy+RKW1sKKl10FN/JcKC6sefM
CFrz0L2wjei+8vL+JXZ4/4zDAbP5HNBK9KjNcaBgadWbuVZSHMi1bY3OcKbA
UsPmzZV5HHix6XXthl0UGO4jFBTRDWsLhPvQjuH7ndLFOPBXN+qsxh5cr45q
e6UoBwyk1jmlulD43f68SFwE32dV1sLEQxRknf58vUaIA29LY51WHKbgSlBD
7D50a37QjRb08p+usYJovtRdIoqumB9Oc0JWzubAqgtyAzHHKBAVd6UqZ3Hg
lZF3XpQ7BcsyNyrx83PgM31ogHcK43+q81kGHwd61W0X1aNtZuvabkeLyvNi
JD0pCJL2dMubYYPFUKdX2BkKNmqssjw9zYb3981XB56nYJW18hntSTakyz2b
petDQRyPVdUxwQYfX63yr+jZoolGsWiOjYSJ0QUK9tn7+Iui/QXqVvzwp0Dx
xbUHY2NssDuyciYmAPcjuEf8CZr7KfvZ2osUaC06F+6BbsqMNE4MpCBMre3X
2Cgblmy3XrolhIJwlzwQQ4u9eDE+g/ZbyLjzfoQNbVpLCjNCKdjZfUgjDh0u
KGcoFEZByxluBBfd9eCjXsFlCgys3D65/GVDMdP0794rFDy7EK6vj44MeJIn
HYH5Xb80by56uX2M7uFICmybb4s++MOGaCF7nvI1CsbE/lMWRrser/lVg65J
qHFtG2bD6qal2Z7XKcg7MvxfMXowm+TWR+P5qDMWcUe/JMN+et+g4LrrnDdW
6LjAqSx2DAWeNnYZNNp0R4tmwE18/+RAye8hNii9svhBx+L74Ps01IAe5pVk
tKAjVsSveoJOnJvINojHfGsR1buAPnVSsq8D7bjG8dN+9MYWn/SIBKwPci3X
LNFjuc4afbco0J3zxFkVXatU/z06Ec+3ZtFRcXRqsEna6tsUPH5jfGP8Nxu8
hnP2/UInH5T50o22clJdlJBEgX3QfIMPaPXqqC6zZApup0s8qEBP6wqmjqAN
tzaveIxOF+lU23wHz7fViqybaB/3rR1T6MAMr9Bw9LavFcnpqRQIJDT7+qE5
G/R229ylID5dL+I0WuBxqopgGubrNoeCY+hPLPm2h+jlaqrj+9FZoYG3d9zD
+N9w2rIL7f93ZKdIOuaDftcLB7S9835WPprtH2phi37W7Gtle5+C9Icy1Fa0
il2s/xg6VdK42wod8OHR45sZFNCbviVuRn+3evt9aSbGU77F/J83vOtmNqON
ZSQH/jlrA7+5dxYF3wa3+G5BS71inld+QIGD7cU529Buq3WzS9HP/vj5bEd/
LDVvd36I+3HT6N+BNjLeJzsrmwJ/7y1mu9EJBT7rUtAipS03D6D59W6eXpND
QWn73eZ/+9+Tk3u/C51/NVT6X3xeab1pDszF+Hm7GF5As+93SWg8oiDHTNbq
Ejp8EZ9JNfrTHTeHaPSvZIbboTyMv5GzbTLamqWTKvaYgrrc/DUP0flxGz9l
oiuLrdWeoZkMF5FN+RSc5ZMdfo0+d+38skH0jEbjoyb0V6kY14gnFOztOO7y
A31X5HX9+wI8309yY6Uwn0QCOwXdCymIWiStvADtOmtGT66IAp2GkkhDtO4k
HWtbjPkYcdZsL7r0R/Tu5mcYD+crI5Vo1YPZ17xLKJhuPDzWhr7YVV2pXErB
1epdvdNo89Yp9q7n2D9NBWIM8fz8V7t7uKucguFF39QK0cbm5xYGvaBAQtM+
tgmdWHXdVqOCgm1fimdm0C5lVcWHXlIwtC4hYj2e56Fc7YDBVxTI/kpv7EZv
467Pj6jCfv1OJ18K60Fhxq4eXjUFhedPBCxD+9y5Zu5eQ0HDIc/uq2ix6AnZ
8TcU3OXzfGqJ9WbhmcrUWe8x/2/WXx7GerVjH3UjHy0hsPmdDta3q9Zngw81
YH6ov+K5oQW0tQ+/b6RAYaJmzyi6pf06nfyJgvF026PiWD+vm7sUm7RgvH9N
/Tw2xYY3RqWZf9Fmj5nbytCC6sxb6a0URI42NclgvT4h8NZX+hsF746e3PAU
bZG/ZF1bO9ZHnbepBNZ7IWp2vW8P3t9wZIE49gtjcafyJb1Y7xeWnj2Odpt4
8qgH7VC69Gcjuq3xcPTmfszHR+84SYLYr0IaHKifGJ8Ry8l12I9ODSd3lw5T
8Datr+iVMAcyv019cvuD7ycrs9oY+1vHW5tq9b/Yv+PIoVy01T3RzCsjFHQy
Va4kYz/Ucjx5Yuc4BaZ/socvY//cu+HNbpkJrDfRz6vnieM8ZbBo6yu09O+S
J5fQIvO/6HOnMF8K7n0Jk+DASr4lGh3ojTcXSEpKcsDzRzjzxjQFtUS2fRT6
wX/fRTfOYHw9ZZ7JY//uqjSZmkGr98jrx6P/B+mrGr8=
      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV1nk4VG8UB3BEIiU1KHPvHTNJWmwla+WLsoxlhkgiVKKkUlSSSlJCaaOo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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwV13k4VdsbB/BDidAgZ+0jSk4UGkRKG8XXuRrQdJWUhKuSUiLjTUSpqBCV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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV1nk8lNsfB/BRdirqGWSewYw92SrKUufLJSKuZCtrkiih0kpFWYuEbomW
a71SVJI9LbaK7MqalL3c5DaIZ8bv/P6a13vmvM458z2f73kelneQ/YFlNBqN
4KPR/v+5KfisABZQFkWJ7FQOyuabu2PCR4DHcZ/q/5tIOa5/aRkB4z9olorY
kUrTzbXLCRD18dVUwv7vWcBBQQECpM3TApWxvS0mliwECagPkBFXxW7vPpAa
J0SAFxCC6timh77oNAoTMPwiwU0Du2jR4624KAFhHo9WaWGzE/r22YoRYGa6
IK+LnSznspAojtdzOJWwCXvZ487kthUEFP6n4rIF+6jJLo01qwgYiNwQboz9
uf19jYMEAX2fBwVMsO18rNxuSOL13Q5NmGPrxPyRsJYg4F9+/kY77L9lXiq7
0gk40hf31glbIt+4+rYUHq/Uq+KO/aNJ74f8WgLivRp4h7A9PIpi9skSYMTt
PXMMu/mHlkIWg4CgfbcczmIXrlbbpSJHwNBojPoVbLns7ImD8gQ8CWIoXcdO
0GNdvK+A66UscOEOdoCL7NP1igTsWJXj9ARb4644faMaAep5t5MHsNO04wpC
1AmoLPD9awJb9JXA9pJ1BGzpWLvAwZ78yjtpoEmAeB//5KpbHJSn/rMbbSCg
0T/I3xJbpvLI0YiNBOxfWB7hjB27c1KkZhMBMgcIyhf7YNBXw+2bcf1Cg5kx
2CrPum7vNCaANZq4ugn7xnZ7vatbCdhZEmb9CVuwu/l9yzYCvlqdnJjGHllo
4NmbEFAc5eIonYbzAxVee7YTQEt2mPHDZjfdVfK1I2B3UW+AfDoHkebsd693
EbDSS0HZEFu6OidIfjcBAUa9zo7Y4o8fVnQ7EtDyPk8zAXsupcLO2hWfR3ZO
xrLbHNTk+iFMx5eAe3OPvvDf4aD6zj3shIMEVMxTnqrYr2wGGib8COBPKXa1
wi5Bw6uzDhMg5OHVkoSdoTiTRz9KwGJPSqHKXQ46+W1F10IoAa3aJZf87nFQ
sE/SWedzBNDfWgmkYB8eIBSKzxNgOWYkUo3t1cI4fCSCAH1z7Vv0vznI+qk6
3+doAlwuG31+h60Qaq5Zl0QAWM6Y2GZyUKPouajEfwioFlotVpGD85lrL9GV
R8AZ9pLnT+xfpmrpsvl4PgNfTfVcnJfQjsc5DwnInziyIQ07+Jt6f+UTbI0f
kxH/cJBU04cN45UEKFdLmvrdx/2WoPMZWglo+PjyW1IBB51SFzwc3UbAQva6
om7s+Lo+TmM7AQlu3nPyhRz0jBst5txFAPca/9IjbOHAAf0jvQTYG6YIf3iE
82t7OeHWMAFL4+06hkUc9HvVsOHMPM5zTK6eTykH2VbOeOsu4P5TWggvx870
5bsSvIj7zXvzzlVlHGT1XK7vXy7Ol876/VXYtw/tCf22jA57hDRTyQoOgrrm
ymFxOohf77PgVHFQ9Nly448KdDhRTRMUqeGgXuU3PlJsOlhlFN8PxNZu+xDv
qEgHsWKdjk7sbtVf/R3KdNB6ZlyWWctB6l1a51rX0WFhS02LWT3Oh3b287eb
6JD56aJ75lsOWjNydVuVJR2aRmONals5aOZU9nEpKzqsqDQTMW/D95NoRV6w
NR2WhdiF1mNf0xlZrWyL96ttZtPYzkErw4zGEnbToU2U/qi/E9drzXiipwcd
umzk7sr1cBAPTIaWhdAhoPFTg8IXDhrocJJyP0GH4qANySXYVb4B1qUn6SDb
YShs85WDQuNvPjt8hg7XRJzmQ4c5aP7jVFzneTrYJLB+DI3i+zQwbUNuHB3y
Lrgeav7GQeO3/7u04x4dfni16GrMctAXe9e78X/TQXUm2r8Ru0+4pqwlgw7W
1zS2Bszh+ygkecoxmw6WaQtlj+Y56OlOXWfv+3RIODEqtG2Rg85TgetCn9Kh
+kbU+tO0WUR3m2x92ECHnG0P+vaLzSJTxhBTYpoO9WfSlRUVZ1F92Z/mgT/p
EFhmnEFhWzlVBzTN4PN61D/0QWkW7U5Kr4zl0CF1pdDTBJVZ5CPktIdvkQ79
sXHp/OtmUcx/767PCEiBnMaBcmndWdTUWCzWxZCCyOvybzvRLHIOi/19y0IK
Whrt1Uo9ZxGprlP901IKCGvxlmqvWfS56+PFHVZSYKQ5YtKwbxb5aauK/94p
BSZ/tMf37p9Fp7/UybnYS0FOV85zUb9ZlGq53EzKXQoiElMqk4JnUTdx/mry
MSlAekkPjC7Ooj0FxxWv3JGCHW+2BYjl4fmzxzKeTUkBf6xj76u5WcS+QPfO
MpOGDecYd9zd5tCEfNPJd39JQ8KOu+aOb+bQ7Wv1PS4j0jCt1Zu7HOaR6PDZ
8/lGMjAJCf8WNs0jLrf0lF68DMQeDNErtv6NHiwUFl36KgNJFztftDb/Rtsb
JowMDNbCSxXWRX7LBXRgb8Fatbi1cFzSiO/ukwUEresMegfXgsvtzl5rxiK6
J65bUKcjC1tit9hQIYuoQuOnd0isLLR3FC28blxEr2Q5vpc/yYKs2R2TTjqF
Um2csxsHZcFbp0OyQ4pCgeHlQ+JDsmCa2wdt0hSSHT3nlvhVFgafLVU0rqXQ
sSeC9tfHZUFUqossZ1JIyVJm690ZWTDyrQg/oUyhmBNGa4oEGRCQm742ZBOF
bFojXvRoMeDTDiGtS3YUKpycFNHXYcDAd82JQ7soJCHg4JCsywCae9vgLnsK
tRuoTFhtYoAsjXmB6UAhp6x3q6sMGPCk7cHFB84U8ji5xveuGQMeZTZGZnpQ
KJjMEd+/lwF7PfQKFw9TqE1/pfMLVwa43JnOeBdAoQ27TmUw3BkQI53zPvUI
hX5F7dDv9GTAEutW04YgCp35MeVpfoABkn+K+Lofo9DF1/pPVYMZ8FBo/Gf8
aQpd93uz53sUA6ihq7UOkRRalXspTjeGAfurtMJ52Je/bis/GcuAzwMtl/+J
olCExzMZvisMUHNsiJ+LxvV0yPxIv8YAqUIfk8Q4CllAmCNKY0Btu7LbnasU
WpDW2ZVcyAA7247mjakU8mq4abnlIwNU+Qd7ze9TiEHE0091MyB7k7HDS+wP
XuFfnvUw4MXOHfKG+RTaueAXtrEf/19b/XyNBxTarGn4WGuIAT12T5IECyi0
MqVfWvkbno/Vcyv9MYXeDrYO7//OgHtjkqpiTygUub7uSeYUA3qXBAXOYi/U
FVgrTOPxMFHkWEShkfnzFxgcBrS6jrfyF1OoyoM1JrnEAOveUEXTUgqdekAv
tqORsN3AbzoXe8O8SEQiHwnRWSuqVpVRKC9pRnYFPwkthQ/bZ7D3fxodsxYg
wdPAQe5IOYXkNPqKLwuSkFjHRVPYKbU1tsIiJITbpwsuVVDIVrKMYSFKws+/
9B5eq6SQsMfD8SgxEk5oyqqrVVHo/Nz1i8tXkvAxQCzf7zmFDq3zLeGtJmEq
LalN+yWFlE/tvbSVIGHpQqLhNPbnGlu7MDoJOZv8zpW8wvly3zz5W5oEZPIh
yaGGQibXhOU4JF7fuZf7oZ5CVD81uVGOBCn14a31DRQqUf9ZekyehL0bWXsr
31BofU3PrmkWCedU9qmVvqOQzGx+1DcVEgTmNJU4zTiv63I9zdVIoORN+zRa
KZTtkWFwT50Eh7bSs/5tFNJuuDllv56EH9IWIb87KLQ9NdKxQpcECwh2C+ih
UHzTBW1iIwmVpWL7entxf9BCRQI3kSBvI7Trz348v//R56zNJJy+deeXzSCF
Thh6KMcZ49+vde++O0KhisA9S1+2klBqqfv8jzEK0bIceowRCc1VN4jpcTy/
mHXCtAkJhVFNV92/4/31b+Y4W5DQ5V5bfuU/vN55yToVexLyzL7p6C3nIpmn
4vfCd+N6ypMZOwS4yGNM6EyvAwkvggL4Dwhx0cSfvPVXnUl4Jvs457EYF9FY
365z3EjoDct2TSe4SKum1qf2IM5LdO+HalUuuiJ0mt/7HAlyeR+H0W4umvSo
q8k+T8JsmutNmhMXWZWsvjR2gYQbGr0eDS5cJHqggO/IRRKUAjI0D3pw0eXX
X3inYkg49PV6yw9/Loo7Z/M7IYkEvZHvVsoXufh5wv63PIcEdr68DbuUi0at
gguoXBKu/FPEyangou2ZzwNQHgkbec/LtKu5SHCXy7fafBLWedRfdcSZjC5M
GG95REKb+Krzkx1cFOU//2WknISgl0JRBjNcdGnw/UfJZpy3ma8SRzbyUKAc
OzuohYQ15266SGzhIRf3k8HvW0kgJg+0VhjzkFafnEhcBwn7b2bbKW/nod4P
QYa0HhJ6/If+stvDQzrNknf+/UqCmJmsOS2ChwaqHL0bf+N6hKXU1nbx0JvF
+1rqiyQ0rfylb9vHQ0WGvIVoioTR7vm+T595KLYsN8V0CZ8XQDX9Ow9tKp6r
LedngkAcb6Rn2RK6/OCWat4qJnzmi+uo1F1Cm9MGvkcqMyGv1X3H6PUl5D1+
yKlfhQmhB48ubU5fQvH68y82qjGhrpHIvZaxhIbaV6d8WceET04LtU6FS+iK
mKUB6DDBd6rRUv/NEhoMK4paNGTC3uZhH1PuEorxjJE7ZscEVzsJPwt9GnxU
0rXzDGXCeNtB+4VHNCBvSNy7F8aEAlXh9MqnNPASmp4aPMeEFur86IVSGkxO
FF7xCmfCw6qaKMkXNKAK1zfsi2JCc8mxYZdmGigYqG3zSWRC/Vym9OkpGhyy
kV/vn8WEP5KH2+Y0+YA6sUL4eCMTJsM2M+dL+aD/fhafFVsOmiy6rR3El4NJ
9us/9x6XA7U156e2h/FDcqDy97bXchD/l7zqnjWCcJdh+k58rTzU+5u789GE
QTtxjAr3l4fkpK0y7gsiEDqy/WjZS3kwFupReW0nDioR0ncIEQUID79aPftw
JUSeKsij6WJP4cfHLQkATwVHWzcFKEkSFmPLrIZt+R8flEUqQHfiDlOvtDWQ
Nno4K/KxApwZKJrwcKXDd1G2aWSfAsTd50+N15WGiGTyyt/LWSCZWsIT5sPv
AWK/QuS0WZBaAk56kgzIG1slUu7Mgiz/feqjBBM6HtiYxVxggZLktzf6bHlw
3eenUJrPgqsajXUOZQqgcrYhd3kHC7RdFPnzO1ngfpCVWooNWsf6nvSw4LpD
aNxh/P2hS4U2FZ9YsExbO6CjiwVtciN878dZ8OnrDd2sbhakm9Eyf1MsuGHj
W2WKx1ln3IsOUmaDIEugPWKCBdEBVSuaTrJh60rPGr1JFoS83/tqNJQNIYtl
xRPYmTlxQssi2PClK+Dmru94P4rxVoZX2FB9udON9YMFiqpNWU/useHkr6yx
l79YwPzvpF/lGzYUDHG7QzgsMBvLVB58z4bhZud3arMsCJxef3R5Bxvs74sV
XJtjgfF92yKbATZoeRw/5rXAgg+xwV3jP9lwwPr9fmKRBRq/N/Ek5thwe4uq
4xvsAzbbnhpQbBBd07dZh8uCeeE1r+IFFcGEpqc+jC2i5LK2VEwRTk9dlU3l
sSDochc1JKEIj3rHxXYusUBIyvLwCilFGG3AXYBd8HeAjwFDEf4HThn6ow==

      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV1nk4Vc8bAHCSXYhzyT0H92pDEhJlm5evFKKIFEKLKCVRVCRbIYm0a48k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      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJwV1Xs41NkfB/CRktHIbeb7nZnzxXxdKtnNKJHU9KbtnjYTtd1Gqex2Qwi5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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwV13k8VOsfB3CTOSN7UzNzzjBhKiXJUsqSqw+VlLTIvRGhRWnRpuKWiiha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      "]]}}, {{}, {}, 
    {RGBColor[0.24882857142857143`, 0.264202, 0.7825611428571428], 
     LineBox[CompressedData["
1:eJwV13k8VVsUB3DVyxQKV9x7Drld4RruMaUM6RelkRCRDKWiVCiiDEl4ZSpD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      "]]}}, {{}, {}, 
    {RGBColor[0.2888631428571429, 0.5431845714285714, 0.7666072857142857], 
     LineBox[CompressedData["
1:eJwV13k8VN0fB3BbYUIUM5ZwpyhtslZaP9nmzrhTFFkr1RNKRVlDRShJkkdP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      "]]}}, {{}, {}, 
    {RGBColor[0.41993314285714284`, 0.6952647142857142, 0.555374], 
     LineBox[CompressedData["
1:eJwVzHsw1AkAB3BCF7ZT57dYy9qfIpfyKLQv67u/RFikOYnIa1RKuCNKOucw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      "]]}}, {{}, {}, 
    {RGBColor[0.6215634285714287, 0.743557, 0.3500992857142857], 
     LineBox[CompressedData["
1:eJwV13k4FV0YAPCx70tc4g535lpClpAkLfOiKKVQKEo+lQqVLIkIIaRFKLIk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      "]]}}, {{}, {}, 
    {RGBColor[0.8241045714285714, 0.6995635714285714, 0.25042971428571426`], 
     LineBox[CompressedData["
1:eJwV13k8VN8bB3BSFIpyxzKjuXdCJVkSCuU8dkrZkq2QSv0ilSVbiZJdlgpJ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      "]]}}, {{}, {}, 
    {RGBColor[0.9023275714285715, 0.49078171428571427`, 0.199022], 
     LineBox[CompressedData["
1:eJxN1Xk01tkfB3BLsqSQ5/vYv3esqSwRkmmat0dRGlpMhH4YpRr8SpbRRoSx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      "]]}}, {{}, {}, 
    {RGBColor[0.857359, 0.131106, 0.132128], LineBox[CompressedData["
1:eJwVx31czAcAx/G73+/ud1PpYX493FV396uktJdqqyWm+3ZotMV5aMWaLFMo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      "]]}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->True,
  AxesOrigin->{5., 11.},
  Frame->True,
  FrameLabel->{
    FormBox[
     InterpretationBox[
      Cell[
       BoxData[
        FormBox[
         StyleBox[
         "\"days\"", Medium, FontFamily -> "Helvetica", StripOnInput -> 
          False], TraditionalForm]], "Text", "TR"], 
      Text[
       Style["days", Medium, FontFamily -> "Helvetica"]]], TraditionalForm], 
    FormBox[
     InterpretationBox[
      Cell[
       BoxData[
        FormBox[
         StyleBox[
         "\"concentration\"", Medium, FontFamily -> "Helvetica", StripOnInput -> 
          False], TraditionalForm]], "Text", "TR"], 
      Text[
       Style["concentration", Medium, FontFamily -> "Helvetica"]]], 
     TraditionalForm]},
  FrameTicks->{{Automatic, None}, {Automatic, None}},
  FrameTicksStyle->Directive[10],
  PlotLabel->FormBox[
    InterpretationBox[
     Cell[
      BoxData[
       FormBox[
        StyleBox[
        "\"data varied\"", Medium, FontFamily -> "Helvetica", StripOnInput -> 
         False], TraditionalForm]], "Text", "TR"], 
     Text[
      Style["data varied", Medium, FontFamily -> "Helvetica"]]], 
    TraditionalForm],
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{3.559363252969757*^9, 3.5593635222742834`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Dimensions", "[", "sampleset", "]"}]], "Input",
 CellChangeTimes->{{3.558428180647606*^9, 3.5584281869972944`*^9}, {
  3.5584293225345902`*^9, 3.5584293268402176`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"7", ",", "5", ",", "2"}], "}"}]], "Output",
 CellChangeTimes->{3.5584281879489675`*^9, 3.558429327386221*^9}]
}, Open  ]]
}, Closed]]
}, Open  ]]
}, Open  ]]
},
Evaluator->"Local",
WindowSize->{1140, 782},
WindowMargins->{{27, Automatic}, {Automatic, 56}},
PrivateNotebookOptions->{"VersionedStylesheet"->{"Default.nb"[8.] -> False}},
FrontEndVersion->"10.4 for Microsoft Windows (64-bit) (February 25, 2016)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[CellGroupData[{
Cell[579, 22, 415, 11, 300, "Title"],
Cell[CellGroupData[{
Cell[1019, 37, 182, 2, 106, "Section"],
Cell[1204, 41, 717, 13, 216, "Text"],
Cell[CellGroupData[{
Cell[1946, 58, 169, 2, 72, "Subsection"],
Cell[2118, 62, 350, 9, 75, "Input"]
}, Closed]],
Cell[CellGroupData[{
Cell[2505, 76, 215, 3, 58, "Subsection"],
Cell[CellGroupData[{
Cell[2745, 83, 681, 16, 104, "Input"],
Cell[3429, 101, 579, 18, 44, "Output"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[4057, 125, 192, 2, 58, "Subsection"],
Cell[CellGroupData[{
Cell[4274, 131, 225, 4, 58, "Subsubsection"],
Cell[4502, 137, 10793, 265, 945, "Input"]
}, Closed]],
Cell[CellGroupData[{
Cell[15332, 407, 282, 6, 47, "Subsubsection"],
Cell[15617, 415, 162, 3, 45, "Text"],
Cell[CellGroupData[{
Cell[15804, 422, 359, 5, 45, "Input"],
Cell[16166, 429, 304, 5, 46, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[16507, 439, 317, 5, 45, "Input"],
Cell[16827, 446, 198, 3, 46, "Output"]
}, Open  ]],
Cell[17040, 452, 1035, 24, 133, "Input"],
Cell[18078, 478, 1358, 37, 191, "Input"]
}, Closed]],
Cell[CellGroupData[{
Cell[19473, 520, 205, 3, 47, "Subsubsection"],
Cell[19681, 525, 28871, 797, 2946, "Input"]
}, Closed]]
}, Open  ]],
Cell[CellGroupData[{
Cell[48601, 1328, 175, 2, 72, "Subsection"],
Cell[CellGroupData[{
Cell[48801, 1334, 659, 16, 45, "Input"],
Cell[49463, 1352, 2283, 51, 213, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[51783, 1408, 265, 6, 45, "Input"],
Cell[52051, 1416, 2431, 53, 211, "Output"]
}, Open  ]],
Cell[54497, 1472, 812, 14, 45, "Input"],
Cell[CellGroupData[{
Cell[55334, 1490, 106, 1, 58, "Subsubsection"],
Cell[55443, 1493, 468, 14, 45, "Input"],
Cell[55914, 1509, 1695, 43, 191, "Input"],
Cell[57612, 1554, 1122, 29, 133, "Input"],
Cell[58737, 1585, 1054, 28, 133, "Input"],
Cell[59794, 1615, 1132, 29, 133, "Input"],
Cell[60929, 1646, 1180, 29, 133, "Input"],
Cell[62112, 1677, 979, 27, 133, "Input"],
Cell[63094, 1706, 982, 27, 133, "Input"],
Cell[64079, 1735, 980, 27, 133, "Input"],
Cell[65062, 1764, 982, 27, 133, "Input"],
Cell[66047, 1793, 982, 27, 133, "Input"],
Cell[CellGroupData[{
Cell[67054, 1824, 354, 8, 45, "Input"],
Cell[67411, 1834, 398503, 6637, 406, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[465951, 8476, 503, 12, 104, "Input"],
Cell[466457, 8490, 294, 4, 44, "Output"]
}, Open  ]]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[466812, 8501, 192, 2, 58, "Subsection"],
Cell[467007, 8505, 1090, 29, 104, "Input"],
Cell[468100, 8536, 408, 11, 45, "Input"],
Cell[468511, 8549, 1732, 42, 191, "Input"],
Cell[470246, 8593, 1170, 29, 133, "Input"],
Cell[471419, 8624, 1103, 29, 133, "Input"],
Cell[472525, 8655, 1114, 29, 75, "Input"],
Cell[CellGroupData[{
Cell[473664, 8688, 259, 5, 45, "Input"],
Cell[473926, 8695, 447681, 7457, 406, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[921644, 16157, 192, 3, 45, "Input"],
Cell[921839, 16162, 149, 3, 44, "Output"]
}, Open  ]]
}, Closed]]
}, Open  ]]
}, Open  ]]
}
]
*)