{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction\n",
    "\n",
    "QA plots for the Micromegas detector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:51.137343Z",
     "iopub.status.busy": "2021-09-08T04:29:51.136036Z",
     "iopub.status.idle": "2021-09-08T04:29:51.141166Z",
     "shell.execute_reply": "2021-09-08T04:29:51.140055Z"
    }
   },
   "outputs": [],
   "source": [
    "# imports to write dynamic markdown contents\n",
    "import os\n",
    "from IPython.display import display, Markdown, Latex\n",
    "from IPython.display import HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:51.157428Z",
     "iopub.status.busy": "2021-09-08T04:29:51.156482Z",
     "iopub.status.idle": "2021-09-08T04:29:51.164876Z",
     "shell.execute_reply": "2021-09-08T04:29:51.164032Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "*For the result HTML page:* "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<script>\n",
       "code_show=true; \n",
       "function code_toggle() {\n",
       " if (code_show){\n",
       " $('div.input').hide();\n",
       " } else {\n",
       " $('div.input').show();\n",
       " }\n",
       " code_show = !code_show\n",
       "} \n",
       "$( document ).ready(code_toggle);\n",
       "</script>\n",
       "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# turn off/on code for the result HTML page\n",
    "\n",
    "display(Markdown('*For the result HTML page:* '))\n",
    "    \n",
    "HTML('''<script>\n",
    "code_show=true; \n",
    "function code_toggle() {\n",
    " if (code_show){\n",
    " $('div.input').hide();\n",
    " } else {\n",
    " $('div.input').show();\n",
    " }\n",
    " code_show = !code_show\n",
    "} \n",
    "$( document ).ready(code_toggle);\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:51.170530Z",
     "iopub.status.busy": "2021-09-08T04:29:51.169756Z",
     "iopub.status.idle": "2021-09-08T04:29:51.175602Z",
     "shell.execute_reply": "2021-09-08T04:29:51.175128Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "[//]: # (This section starts with a 2nd level heading and get embedded in the result QA report at https://github.com/sPHENIX-Collaboration/QA-gallery/tree/QA-tracking-low-occupancy)\n",
       "\n",
       "## Tracking QA at low occupancy\n",
       "\n",
       "Low occupancy tracking QA concists full tracker + reconstruction of events with 20 $\\pi^+$,  20 $\\pi^-$ and one $\\Upsilon(1S) \\rightarrow e^+ e^-$. Please note the calorimeters are disabled to improve execution speed, which also removed some of the correlated albedo background for the tracker. \n",
       "\n",
       "The source code of the macro can be found at https://github.com/sPHENIX-Collaboration/macros/tree/QA-tracking-low-occupancy or [comparing it to the master branch](https://github.com/sPHENIX-Collaboration/macros/compare/QA-tracking-low-occupancy?expand=1).\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os.path\n",
    "\n",
    "# readme file of the macros, available if run under JenkinsCI\n",
    "# https://github.com/sPHENIX-Collaboration/utilities/blob/master/jenkins/built-test/test-tracking-qa.sh \n",
    "\n",
    "macro_markdown = 'Fun4All-macros-README.md'\n",
    "\n",
    "if os.path.isfile(macro_markdown) :\n",
    "    with open(macro_markdown, 'r') as file:\n",
    "        display(Markdown(file.read()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `pyROOT` env check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:51.181054Z",
     "iopub.status.busy": "2021-09-08T04:29:51.180511Z",
     "iopub.status.idle": "2021-09-08T04:29:55.199172Z",
     "shell.execute_reply": "2021-09-08T04:29:55.197858Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to JupyROOT 6.22/02\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "via sPHENIX software distribution at `/var/lib/jenkins/workspace/sPHENIX/Build-Master-gcc8/build/new/install.1`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ROOT\n",
    "\n",
    "OFFLINE_MAIN = os.getenv(\"OFFLINE_MAIN\")\n",
    "if OFFLINE_MAIN is not None:\n",
    "    display(Markdown(f\"via sPHENIX software distribution at `{OFFLINE_MAIN}`\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting source code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:55.218145Z",
     "iopub.status.busy": "2021-09-08T04:29:55.217270Z",
     "iopub.status.idle": "2021-09-08T04:29:55.339372Z",
     "shell.execute_reply": "2021-09-08T04:29:55.337987Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "View the source code repository at https://github.com/sPHENIX-Collaboration/QA-gallery.git"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import subprocess\n",
    "\n",
    "try:\n",
    "    git_url = \\\n",
    "        subprocess.run(['git','remote','get-url','origin'], stdout=subprocess.PIPE)\\\n",
    "        .stdout.decode('utf-8').strip()\\\n",
    "        .replace('git@github.com:','https://github.com/')\n",
    "\n",
    "    display(Markdown(f\"View the source code repository at {git_url}\"))\n",
    "except: # catch *all* exceptions\n",
    "    #     well do nothing\n",
    "    pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## JenkinsCI information (if available)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:55.360246Z",
     "iopub.status.busy": "2021-09-08T04:29:55.358817Z",
     "iopub.status.idle": "2021-09-08T04:29:55.477524Z",
     "shell.execute_reply": "2021-09-08T04:29:55.478670Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Some further details about the QA run, if executed under the Jenkins CI:"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "* The commit being checked is sPHENIX-Collaboration/coresoftware/a5e4b2146c2aa45c2aa55a7bad588f5fc58588d4"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "* Link to the pull request: https://github.com/sPHENIX-Collaboration/coresoftware/pull/1275"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "* Link to the build: https://web.sdcc.bnl.gov/jenkins-sphenix/job/sPHENIX/job/test-tracking-low-occupancy-qa/1390/"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "* Git repo for macros: https://github.com/sPHENIX-Collaboration/macros.git , which merges `*/master` and the QA tracking branch"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "* Download the QA ROOT files: https://web.sdcc.bnl.gov/jenkins-sphenix/job/sPHENIX/job/test-tracking-low-occupancy-qa/1390/display/redirect?page=artifacts"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Automatically generated by [sPHENIX Jenkins continuous integration](https://web.sdcc.bnl.gov/jenkins-sphenix/) [![sPHENIX](https://raw.githubusercontent.com/sPHENIX-Collaboration/utilities/master/jenkins/material/sphenix-logo-white-bg-72p.png)](https://www.sphenix.bnl.gov/web/) &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; [![jenkins.io](https://raw.githubusercontent.com/sPHENIX-Collaboration/utilities/master/jenkins/material/jenkins_logo_title-72p.png)](https://jenkins.io/)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Markdown('Some further details about the QA run, if executed under the Jenkins CI:'))\n",
    "\n",
    "checkrun_repo_commit = os.getenv(\"checkrun_repo_commit\")\n",
    "if checkrun_repo_commit is not None:\n",
    "    display(Markdown(f\"* The commit being checked is {checkrun_repo_commit}\"))\n",
    "        \n",
    "ghprbPullLink = os.getenv(\"ghprbPullLink\")\n",
    "if ghprbPullLink is not None:\n",
    "    display(Markdown(f\"* Link to the pull request: {ghprbPullLink}\"))\n",
    "\n",
    "BUILD_URL =  os.getenv(\"BUILD_URL\")\n",
    "if BUILD_URL is not None:\n",
    "    display(Markdown(f\"* Link to the build: {BUILD_URL}\"))\n",
    "\n",
    "git_url_macros =  os.getenv(\"git_url_macros\")\n",
    "sha_macros =  os.getenv(\"sha_macros\")\n",
    "if git_url_macros is not None:\n",
    "    display(Markdown(f\"* Git repo for macros: {git_url_macros} , which merges `{sha_macros}` and the QA tracking branch\"))\n",
    "\n",
    "RUN_ARTIFACTS_DISPLAY_URL = os.getenv(\"RUN_ARTIFACTS_DISPLAY_URL\")\n",
    "if RUN_ARTIFACTS_DISPLAY_URL is not None:\n",
    "    display(Markdown(f\"* Download the QA ROOT files: {RUN_ARTIFACTS_DISPLAY_URL}\"))\n",
    "\n",
    "JENKINS_URL  = os.getenv(\"JENKINS_URL\")\n",
    "if JENKINS_URL is not None:\n",
    "    display(Markdown(f\"Automatically generated by [sPHENIX Jenkins continuous integration]({JENKINS_URL}) [![sPHENIX](https://raw.githubusercontent.com/sPHENIX-Collaboration/utilities/master/jenkins/material/sphenix-logo-white-bg-72p.png)](https://www.sphenix.bnl.gov/web/) &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; [![jenkins.io](https://raw.githubusercontent.com/sPHENIX-Collaboration/utilities/master/jenkins/material/jenkins_logo_title-72p.png)](https://jenkins.io/)\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Initialization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:55.851786Z",
     "iopub.status.busy": "2021-09-08T04:29:55.850390Z",
     "iopub.status.idle": "2021-09-08T04:29:55.955143Z",
     "shell.execute_reply": "2021-09-08T04:29:55.953922Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%cpp -d\n",
    "\n",
    "#include \"QA_Draw_Utility.C\"\n",
    "\n",
    "#include <sPhenixStyle.C>\n",
    "\n",
    "#include <TFile.h>\n",
    "#include <TLine.h>\n",
    "#include <TString.h>\n",
    "#include <TTree.h>\n",
    "#include <cassert>\n",
    "#include <cmath>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:57.017276Z",
     "iopub.status.busy": "2021-09-08T04:29:57.015882Z",
     "iopub.status.idle": "2021-09-08T04:29:57.122117Z",
     "shell.execute_reply": "2021-09-08T04:29:57.120773Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sPhenixStyle: Applying nominal settings.\n",
      "sPhenixStyle: ROOT6 mode\n"
     ]
    }
   ],
   "source": [
    "%%cpp\n",
    "\n",
    "SetsPhenixStyle();\n",
    "TVirtualFitter::SetDefaultFitter(\"Minuit2\");\n",
    "\n",
    "// test sPHENIX lib load\n",
    "// gSystem->Load(\"libg4eval.so\");\n",
    "\n",
    "// test libs\n",
    "// gSystem->ListLibraries();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inputs and file checks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:57.130620Z",
     "iopub.status.busy": "2021-09-08T04:29:57.129762Z",
     "iopub.status.idle": "2021-09-08T04:29:57.233864Z",
     "shell.execute_reply": "2021-09-08T04:29:57.233099Z"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "qa_file_name_new = os.getenv(\"qa_file_name_new\")\n",
    "if qa_file_name_new is None:\n",
    "    qa_file_name_new = \"G4sPHENIX_test-tracking-low-occupancy-qa_Event100_Sum10_qa.root\"\n",
    "    display(Markdown(f\"`qa_file_name_new` env not set. use the default `qa_file_name_new={qa_file_name_new}`\"))\n",
    "\n",
    "qa_file_name_ref = os.getenv(\"qa_file_name_ref\")\n",
    "if qa_file_name_ref is None:\n",
    "    qa_file_name_ref = \"reference/G4sPHENIX_test-tracking-low-occupancy-qa_Event100_Sum10_qa.root\"\n",
    "    display(Markdown(f\"`qa_file_name_ref` env not set. use the default `qa_file_name_ref={qa_file_name_ref}`\"))\n",
    "elif qa_file_name_ref == 'None':\n",
    "    qa_file_name_ref = None\n",
    "    display(Markdown(f\"`qa_file_name_ref` = None and we are set to not to use the reference histograms\"))\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:57.243806Z",
     "iopub.status.busy": "2021-09-08T04:29:57.242932Z",
     "iopub.status.idle": "2021-09-08T04:29:57.436458Z",
     "shell.execute_reply": "2021-09-08T04:29:57.437709Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Openning QA file at `G4sPHENIX_test-tracking_Event1000_Sum16_qa.root`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Openning QA reference file at `reference/G4sPHENIX_test-tracking_Event1000_Sum16_qa.root`"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# qa_file_new = ROOT.TFile.Open(qa_file_name_new);\n",
    "\n",
    "# assert qa_file_new.IsOpen()\n",
    "# qa_file_new.ls()\n",
    "display(Markdown(f\"Openning QA file at `{qa_file_name_new}`\"))\n",
    "ROOT.gInterpreter.ProcessLine(f\"TFile *qa_file_new = new TFile(\\\"{qa_file_name_new}\\\");\")\n",
    "ROOT.gInterpreter.ProcessLine(f\"const char * qa_file_name_new = \\\"{qa_file_name_new}\\\";\")\n",
    "\n",
    "if qa_file_name_ref is not None:\n",
    "#     qa_file_ref = ROOT.TFile.Open(qa_file_name_ref);\n",
    "\n",
    "#     assert qa_file_ref.IsOpen()\n",
    "    display(Markdown(f\"Openning QA reference file at `{qa_file_name_ref}`\"))\n",
    "    ROOT.gInterpreter.ProcessLine(f\"TFile *qa_file_ref = new TFile(\\\"{qa_file_name_ref}\\\");\")\n",
    "    ROOT.gInterpreter.ProcessLine(f\"const char *  qa_file_name_ref = \\\"{qa_file_name_ref}\\\";\")\n",
    "else:\n",
    "    ROOT.gInterpreter.ProcessLine(f\"TFile *qa_file_ref = nullptr;\")\n",
    "    ROOT.gInterpreter.ProcessLine(f\"const char *  qa_file_name_ref = nullptr;\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:57.461308Z",
     "iopub.status.busy": "2021-09-08T04:29:57.459938Z",
     "iopub.status.idle": "2021-09-08T04:29:57.565519Z",
     "shell.execute_reply": "2021-09-08T04:29:57.564492Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%cpp\n",
    "\n",
    "if (qa_file_new == nullptr) \n",
    "{\n",
    "    cout <<\"Error, can not open QA root file\"<<qa_file_name_new<<endl;\n",
    "    exit(1);\n",
    "}\n",
    "\n",
    "// list inputs histograms if needed\n",
    "// qa_file_new ->ls();\n",
    "\n",
    "//TFile *qa_file_ref = NULL;\n",
    "//if (qa_file_name_ref)\n",
    "//{\n",
    "//    qa_file_ref = new TFile(qa_file_name_ref);\n",
    "//  \n",
    "//    if (qa_file_ref == nullptr) \n",
    "//    {\n",
    "//        cout <<\"Error, can not open QA root file\"<<qa_file_name_ref<<endl;\n",
    "//        exit(1);\n",
    "//    }\n",
    "//}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Utilities (invisible to HTML output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:57.576644Z",
     "iopub.status.busy": "2021-09-08T04:29:57.575833Z",
     "iopub.status.idle": "2021-09-08T04:29:57.681790Z",
     "shell.execute_reply": "2021-09-08T04:29:57.680288Z"
    }
   },
   "outputs": [],
   "source": [
    "%%cpp\n",
    "//constants\n",
    "\n",
    "const char *hist_name_prefix = \"QAG4SimulationMicromegas\";\n",
    "\n",
    "// assume Micromegas layers are 55 and 56\n",
    "static constexpr int first_layer_micromegas = 55;\n",
    "static constexpr int nlayers_micromegas = 2;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:57.708651Z",
     "iopub.status.busy": "2021-09-08T04:29:57.707269Z",
     "iopub.status.idle": "2021-09-08T04:29:57.811313Z",
     "shell.execute_reply": "2021-09-08T04:29:57.812446Z"
    }
   },
   "outputs": [],
   "source": [
    "%%cpp -d\n",
    "// utility functions for batch plotting\n",
    "\n",
    "\n",
    "TCanvas* Draw( TFile* qa_file_new, TFile* qa_file_ref, const TString& hist_name_prefix, const TString& tag )\n",
    "{\n",
    "\n",
    "    const TString prefix = TString(\"h_\") + hist_name_prefix + TString(\"_\");\n",
    "\n",
    "    auto cv = new TCanvas(\n",
    "      TString(\"QA_Draw_Micromegas_\") + tag + TString(\"_\") + hist_name_prefix,\n",
    "      TString(\"QA_Draw_Micromegas_\") + tag + TString(\"_\") + hist_name_prefix,\n",
    "      1800, 1000);\n",
    "\n",
    "    cv->Divide( nlayers_micromegas, 1 );\n",
    "    for( int ilayer = 0; ilayer < nlayers_micromegas; ++ilayer )\n",
    "    {\n",
    "\n",
    "      const int layer = ilayer + first_layer_micromegas;\n",
    "\n",
    "      // get histograms\n",
    "      auto hnew = static_cast<TH1*>( qa_file_new->GetObjectChecked( Form( \"%s%s_%i\", prefix.Data(), tag.Data(), layer ), \"TH1\" ) );\n",
    "      hnew->Scale( 1./hnew->GetEntries() );\n",
    "      hnew->SetMinimum(0);\n",
    "\n",
    "      // reference\n",
    "      auto href = qa_file_ref ? static_cast<TH1*>( qa_file_ref->GetObjectChecked( Form( \"%s%s_%i\", prefix.Data(), tag.Data(), layer ), \"TH1\" ) ) : nullptr;\n",
    "      if( href )\n",
    "      {\n",
    "        href->Scale( 1./href->GetEntries() );\n",
    "        href->SetMinimum(0);\n",
    "      }\n",
    "\n",
    "      // draw\n",
    "      cv->cd( ilayer+1 );\n",
    "      DrawReference(hnew, href);\n",
    "\n",
    "      auto line = VerticalLine( gPad, 0 );\n",
    "      line->Draw();\n",
    "    }\n",
    "\n",
    "    return cv;\n",
    "\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# residuals, errors and pulls"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Residuals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:57.867083Z",
     "iopub.status.busy": "2021-09-08T04:29:57.865748Z",
     "iopub.status.idle": "2021-09-08T04:29:58.570426Z",
     "shell.execute_reply": "2021-09-08T04:29:58.571606Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cH2HW4gW6bW6V4Ecf3I6pJkOrvlP55l3ps/z4MLTqBE+JWnpLu0wYWnUuVPUYkFp3E9Llt0poXdJ6m5o4y/fuqN5mdNuZ2Ip9LyRjkqH73rGvxa1K/Fiqt7eVDD1sW5iKxFe7dajHR07v9yVx3NZGfs2H2hCePGmMCZSHDvtzaDU1PjmsVqudP3GrvuvFASdJ4HaIQkWhvZsQbjIKrU4aZA7FCQl7NXgjGXqQ7k67fDK0EmHuqdXUAyLMap/Lwc69DVzShJOhVd+N4l6Jlo/Z0sNqqV0sDG0FgkMSF7CdJdRn9qGmjtlL3Spa7RmzCemtGDImGTqy9r0a1trkJhRuDgyZ0DuW+L6M+cLWAVnrxaET6WZEB6KukQd2et0LhKrjm5r4Qo08k8uEwiSIQtO11EShsStGoeMLH1Pv8cnQVop5M3AvP36ljkm621UnjLolJNLHrXcXi8XO3HS36rqQut5mcxL7P1Fp6++4ut62dXdIvVhcctywuD9EYov2IsI8oZFNTX9kx5yogWuZdjK02hUQDF3A9j0lHVBLd8WhZU4ShtbSJ+Kd193E5bNeN705idoTAdzQZh68FTv3TO8CB0SWvXbW3pBzuXvpr3b6kGu+5kOvd+08DnulTxqJo3RMk05rZ6C5syU7v+ZuTsBUiELTtXRXHFpGFNq7mQdvRa/TBpnHJEOHdnJ8FHWToYkejq3s4ZgqehfYuXp48sOqm7RarcYc5OlKm7+7TR0qtrVDuiW3kqEn/yEgwjyt4yPM6ogTNXAtd3KDotWPfeju5TlqudhpeqRNp1f/vnuje++0eWtnwNGtvbuL4kJ6G1Y3oHVZOtNneknNjr21Y4Yr6n5bE90r0oFU+mu1bzNu9uvWHbXU3Wlp3R4r+5YAEBOFNkShN67Zoma3NDukmzBt1torGdq9sDZVxJ9F8+L4FnYPhuZjGvld6K20Kbz7tRo62Lo7pNlpvdvYWrhp9lm/vyLMfR0fYXYLueXtBe4kGcpljLxkMmTVeZo8nMTInhEAMFGi0CMN5R9brx+TDO2uGy/Wm83sLtZdfahJ+x4MvZU24VM37TU+Gdq7cKKRF0iGnooIE7hXTwVmryzLPM/zPC+KIr3kdrut/8jz/NytIq0syyzLsiy7dkMmryiKLMumfkiXZXntJgDA3kShF7Ner0MI3cG8O/f8eEPRSFmWm81mZ6xSf8TdIe3NJ95t6qnin8Vicb7jKrFbzlTjCU2ikQAHkAwllGW53W63220dJCUWa/4Whs5HURQXDoPKsjxfpUVRnDDovxH1V7j+Oz1jEQDcFFHohfXuvbqPzAkLz7KsFcjt/NSa5XuXrDuNni8ivfBBtXOSyhshwgTumGQoT9xlTfQ0XC6Xzd/C0JkoimK9Xl84e1iW5fkqXa/X6Z9bUxTvq/tL9QJwx0Shl5FONZ5KnudNymy5XNYjb0ZGJk0Lsz5NSi7WTSk2A6diI1s+ZrG5EWECd0wylBCeDCayLIv75dXd9OJIIvGcR+AyiqKoxxXGvxBu56Z97y+ZA1x7OwA4O1HoPSmKIn4yT93n95LzES06LlNvoj3XbcC+RJjATDx97QZwE+oJm5oLXqL33Gq1cu/0SPXevnYrmLxuLwk37QGYHFHoBZxpv/V22MzzvE5nl2VZD/epl2xeH2phveQxA/bTVTCSCBOYAz1D+c/Kstx502+z2bgWHmOv+KzuClEbE9vVvyV6P6D6Hm+rhHr5+B5pvG79bhy/dsPoxOpxIXW9zebs3ITeSlt/x9X1tq27Q7qldXdpvM97t+iWnWS2r1M51TP+rr0dAFyCKPRieuPJoVDqSHUYVr37RPLezOkUzS3felPxmAgTOBU9Q/mJ+tky5bua1/N3Xa1l92Lk03vKsoznxgohbLfb5XK5WCwS4Vc8x3nvW3GP1G4VIYT1eh1/9HFprZKHVl+v13F40dTb9AvYaajS5u8mndrbzlYjd5YWi7ulNFvU+i7cjjiZO35CLgC4TaLQy+g+ozIRQMa6y3QDpDqU6sar9Rz0ITk6Ko8eGd+Naurwb7PZ3MKRcDdZ3V4iTGAm9Aylrb7slZG6X+G123UP6vBi585s8oybzaa+e9ncUT9VRFJXsVgsulXUAVCe582LofOY0aEWhr5xWE0mdLVapaf6SlfaFL5YLFar1b67oqqqpva62XFT60fZLhaL5o5xPcdTs0NuTX0sNd/QazcHAE5AFHo+rUiv0cSEQyvGt9K7K3aXTAyybn2UrSXrFta3onsbcJUjoRVl3X3QJcIEZkIyFG5LE3bE2bqiKJoA8fgqyui5BHEVdRzcjXta8XGzSquFdaqxGwE3Sca9fs/0BuXb7Xaz2Rz80ygdTLc6MtxmDhQA4ABNpLdcLuukc/xwqkTY00RNy+WyTlU3K7aitSaGzN59jnwdsDU3xXtb1VTdrN5qYR1bnurZWXXfgjFhXr116/W6zg8225JOHAsgASZBMhRuy1C8eMJ7s0NRWlmWdaoxvfpQSBonRkfWuK/FYnG+TgGJ3XKmGgEALqYsy2bgS/ygqp15xmaB9Xq9XC7rFXsHrTdLNlXUcWNrTE/zd11g83o8NKfVwuMjwKFKh8QzMtVbvd1u04OT6iWFjgC3z5yhcIt6A75Tzfbd3KLPsqwVXO4MNONZhLrvLhaLs44rv/DwqHpzLlkjAMD5xFMQ9M7HWs9Z1FqrfrGbzezOKVkvma6iVt+A784ftbOFYfQs/GMqTUfXrW2Jx291l6w7nDYNTjRSthTg6iRD4YakU42nkuf5arWq86HNRFEjp0hvWph+LnysO5io7Hv+0phUr1nDAACOMZSd3Gl8/nFMFYllDm7hTgeUPH4VM2wCTIhkKMxRPe1RURR1z8f68UH1LEiXuVmdmG7pKm6tPQAAAMA5SIbCDTnTbfDesd7NFO/12J+6o+h2u01P/d4MsT9mzL7Z5QEAAICr8AAluEW9ucIzDRqqu4hWVVU/teluZsmUbwUAAABaJEPhFvU+kL0ezJ5esbtANyeY53mWZb2z0Q+tEq871MIQQpZlWZbdSBbybrK6AAAAwKlkp3o+NQAAAADALdMzFAAAAACYBclQAAAAAGAWJEMBAAAAgFmQDAUAAAAAZkEyFAAAAACYBclQAAAAAGAWJEMBAAAAgFmQDAUAAAAAZkEyFAAAAACYhadPXmL2cnbyMg9QPVdduwkAAFyOKBQAgJ30DAUAAAAAZkEyFAAAAACYBclQoF+WvZhlL167FQAAzIsoFICzkgwFAAAAAGZBMhQAAAAAmAXJUAAAAABgFiRDAQAAAIBZePraDWCUsixDCHmeX7kdAJdSlo/L8nH9R/1Knj+s/121XQDzIgoF5kYUCncvq6rqxCW+nJ22wMNUz43arqIo1uv1XiUvFouiKC4TEZZluVwum/+uVquiKC5QL4QQ6od4VtUfXrshl5BlLzd/r1bPFsUHR66Y59/ebt+q/66q507fslt1wIaX5ePl8jvNfxeLB2X50d4li+L19fqNRFGLxYOi+OAx8WirMYdJbMIUxZ/pTovFgzx/OP6bcnLxj5PzFX5M+ce38KzbeK9EoSckCuWKRKFjiEKDKPReiEK7hR9Tvih0DD1D97bdbuvQcLPZnDUYbcWgwGWs12+48XtyI2PQkdHhdvvWcvmdO4sCp2W7fWu7fWu9fmOz+chVvizNcXLan3+9P4H2+tkzdAyP/31blo+L4vXuT4K9fiFzr0ShcN9EoecgCr0zotAhotC9mDP0cOeOEVvlLxYLA5TgMo6/W0vLwTHoYvFgtXp2tXp2sXjQemu7fSvPv33ypk5UUbye59/O828XxeuXrHe5/E58B/syzlRjlr3c2xmk/tkzZsfm+beHzh7r9RtjDteieH25/E5v54j1+o249xAzJwqFeyUKPTlR6LmJQo8nCr08PUN/In2PvSzLsixbo5my7PTzDHQZlwSXVxSv39/tr2uJr52JG+mtUHXoLmh813S7feuwTyrPHybu5U5x3Fl6SNe+hra6nkKrLB/HcdJy+Z0L76VzhNo7I7x6DycOtp0jvOofTomOJDuH5tXtnMoxyV5EoUBDFHpCotALEIUeSRR6FXqGjpXneVEUVVWtVqv49XpS+ZOLixWDwuWd9qI+ZyNj0Ph2Zb3Y0HiQovjgZvOR5r8+qUuqZ2gqy4/GH0F48uM7t97BO0dqHX5V9Vzzb7V6tnlrvX5jqDtAq1WbzUeaEuJ9Vf9w6i2hLB/HB/Nq9WzcjLhPiq4oMyQKhVkR25yKKPSeiEJFoaclGbq3oigWi0Xz3zOFocDV3dO5/lpGxqAhhPgSvnMOpjx/GAcHlx8gQ+sjOHlc2KsoXh8aQ3SMuItB9yht/ewZCiLjVlXVc/GPqFYHkKH2xyVvNh9p3fwvy482keh2+5ZjfrZEoTATotDjiULvlSi0RRR6GMnQQ8Q3yYWhcE8Wiwd3ea6/ivExaKw7K1Ov+CJ94fmJqF1sBF+WvVz/O1P/i/j46T1K8/xh+rTQiiB7a9kZy8ahcG+HlLhtjvk5E4XCvRKFnpAo9L6JQntLEIXuxZyhl1DP9NT8N8/zc0xC36rlsGFNTSGJ1U+1OXE5+xZyZBtOsq+4V2X50SZ+Ou00NPU0N81/7/tpoXvFoK3dcsZmXVDr4943aJvE0bJYPGiCp7J8fIMtHCOO/4aWiU8L3S2N4+OhnRC/vl6/0Toe4rAycag0O/wynSC4D6LQneWIQrkdotCTEIWKQqdCFHpFkqHnVZZl93Gf9fz3i8Wi935+lmVDrwzNYZ/n+Xa77a0lMR9/U2w9+36rqb0VFUXRmrx/5+aMqWtkITvbkH74QO2wfcXcrFbPNteV9FTTI/U+obKuojdEi5ffbD7Se2GL58ke82TM1erZ5vLWas/JZ8I+7G58bXw/iM3mI/XCtxb99E5hXn/cQ59moywf985GVK8ef4hDdW23bzX7/57mOD+TA34qdIPIRrpHSXxi6ZbZ/J04Qorig803d7pxPxcjCh1T18hCdrZBFMqpiEKPJAoVhU6FKPS6DJM/ozzPuzFoY7vdZll25PimoiiyLOvGVY3lcjnmhnNvuNyS53k3/mvUm7OzohBCURRDde3cJ1mWJdqwXC7TT2I9yb6ambM/pvY2xdeY44cp5fm3uzFoXH6WvdyqIr66DI1EiIOPoRt0V7nXfUAMGrdt/A6vp1EfetznVZTl4yx7OXG/dLn8TmIWsKJ4fbn8TmL19fqNm5pE7DJ3huMZ3LvzuB9p/HdkqNLxgWxc/tBBnt60MSVATRTaSxQ6KaJQUejeRKGi0NMShe5VwrRIhh5izNiW7r3fxbviF7sBWXeZ3hVD393pxWKxWq1aS67X653R1c4YtBXALSKtxdLllGXZtLlubbfBQ41pFd67sdvttndju3H2wftqDv7iL/7TF7/4f9Yx6M/93O/+i3/xf/zFX/ynazfq0uKpVRJB5E7dW6b1hFCti023inh2mDEV9V6TLh+GHnM3vrFcfmeKk9F0e14sFg9Wq2dbn/XQkxxbj3EcuXo9kVBrmd5j7Nxu58fAXsYHc0Mh4GlLGL8b7yMM5QCiUFHofROFBlHooUSh8Sui0NsnCr2y6tTCN8Mt/BvZ2tVq1eyKzWYzZpXNZrNzB8bF9pYcRz+LxSJdy5hmrFardBu6JXQPhtVq1bsTjt+cVkXdZVqbs28VOz+UI/fVrPz5n//gn/7T/+03f/PfhvDZ+t9v/da//Sf/5Et//uc/uHbTzqg5dywW/3fz4mr1/eb11er7vSsuFv93s0z33biEEL652fxtYvW46ta63ZI3m79tnfV6WzhUeGv1gb2S0rvhcZmtGnfqblG9Ud2ddgHpj3VI+uNobWB3u9Lv7vzIDt7zjX23Ol7+sKPoYId9QL3Gb0L8EcQfUPqrOlRdfIQMlXxkg+fp6vGnKLS3Dd0SQocoNLHD50MU2rwoCk0QhXalPw5R6AmJQi+/z89Ez9D9tAbXVH3BXHh39p9mme6ombIsm4/XNXkAACAASURBVLhqu90eMEwpvnW82Wy6d5KLooiDs53zEFVVVRRF72Kn3ZzeKZnyPI9b21qgLMumR8CY1Vt7I27wSfbVfftX/2r7oQ/9/L/+119vXvmDP/j6r/zKL3z5y+X1GnUd8ViD9fqNA+6AxbdYq+q57t22svzo0PMB02OUuq90m5cYN5HnDzebjzT/xmzLTvHd+LD/0JU8f7haPdt6cb1+Y7n8Tpa9nOffvvG79PG4oc3mI92BKvU+b/7b2pz4w1qtnu0eKvGjJK+uLB+3Opuc6iiaisPuyZ+khNs5DLg8Uago9O6JQhui0L2IQpu/RaF3TxR6Kh6g9BM7B+m0DMWgrQBxaPV68qBmlX0j0SYsW61WQ2FTnueLxaJeMjFLUbqdceFDmxye3JyyLBORXGJI15hVhnZUvHprnFEcwh6/r04ry168WF2jVSG0B5r9wR98PYTqpZf+/VUaNKSq/vDcVWw2H2mGnOz7TM84zkhcpOPnAxbF682InvS0LE0E0EyG3Q370qMeTjucpBWDvlvFfrP+16Fb79ze2+1b2+1bzWT/NzVDUy1+jEDiSY6JzyterPf1S05bnpgTqtvyxCZPyJ2Fd0yOKHSokOZvUejJiUKPIQoNotCbIQo9X2MuQxR6FXqGHqIeIDP0bjwbUfrubjMuZt+4J46x0rMLjQngQjIEjGO4dKuaBRKzy+/cJ8e0oTXOqDZyD7TePfKRAlOWnqt+djPZt26E7nVbuAmndl6km3vR3Xmdel+Pxfd+W9Fq3ICxjT5IHIPG99WHpiVKKIoPVtVzm81HEm3ebt+qb9Tfzl368ZOXx+/u2/48f9jM3X7usK+O+3v/dRc+/kG3k3CZUPsOAnrOTRTaSxR6F0ShTxCFjiEKFYWetTE3QhR6DnqGHqKeH33nHOc74608+WTMhPFBUtyGoVvlvdFbuqihBXbG0wfEoGMeFNC8213gsIAy3a3ghC5wV3lfP/dzv/s3f/P33dd/9mef+Zu/+V8v356ri++Zr9dvpIOMXjuvK3n+sPdG9NA92CboacVqQ/dpL3Zh22w+kucP8/xh0+yD91gd2ZTl4+6E7o31+o31+o260mOafbzWXPIj1xrqNLFcfucWNmqM1erZ3s+3KF4f+tR22qvny3Rd5hGo3CVR6NACotB9iUJvnyh0PFFoEIWGEEShI4hCa5KhP7EzGovnDFqv12VZdkOc+JW94pi94p7x98lbVYxfuLvKXlH1CcO4I2+P77WvmjFKM74nH37zN3/tzTf//g/+4Ovxi7/924uHD3/qWk26uniY0shBNwc/QDMOJVtjlJr/NkFP/cpi8aC+pA3N/3JAIHiAJnKKh+GEELLs5YMDizqordtflo+L4vXuxbsbtNXB61CZ59gb8eiknQs3n1e3C0bzSn281dM2XSUeTW9I3apJBMo3y3goWkSh6VVEoTMhCu0ShY4hCg2iUEYThdYkQ38iz/MxkVMzJ1Hvnfk4fNlr+qfD4rbtdtu052CJeg/enAPqOvfqe+2rS07YdGv++T/PP/vZf/tbv/VrTST627+9eO21v/7KV/7ZdRt2RfUwpSZ0KIrXd4YycRjUhLBjtO6r94aYTbBSL9ncuo/DmsOm0z5YKxAsig/Gt2TH7LGd4hv1rXi0NZFW4jZ+OHNQvt2+1Ttx1Rhx749a3ekgvDvG7TI/J5rGHLN6nj+88BF4AZfZonPPw8XNEoV2iUJnSBTaJQrdSRRaE4XWRKHH1DKrKFQydG9VVTXRTGuK9Bt3ydDqdu7Js69f/uWf/8pX/tmXv1z+7M/+9Jtv/v3P/uxPP3z4U1/5yj/7R//o56/dtGs6fpjSYfL8Ye/92+bdMHDrvonDug/HPLne0TRxR4b1+o0T3sKt49HWEJj7uHhX1XO9Q3vimfsnMXap+c0wIVMZMTSVdnImotAxRKHTJQrtJQpNEIWeiij0iqYS3U2lnSNJhh6iGcayc7HxZR4ctI2v5ci48DKb01vUqQLovTZhzn75l3/+X/7L/+all/59CNU8Z2jqFQ+62esJlXuNRGhFGPHN7TrSGpqqKV4mUeA5DE0RFe+x9FNQm40a39rWQz+HBnZd3pEDT4rig0XxwaHRWCGE5fI7i8WDyQV5NyseFzZefIw1vxWPKaH3SIZeotBz19UqShR6YaLQXqLQIaLQmCh0WkSh1yUZemLxjEVFUZwwGuu1Wq0u1ilg6vfGF4vF1DfhGo4d/nZP4ohwu30rfbWIrytF8cGTXFdaYWhcZhPw1e8ePFfUabWGKSVi9+bu/dBU6DvLb23ytbb6VAFia/L+snwcBzo7Dz/OYehrNT6IHBridNhHab4nukShN0sUehBR6E+IQvclCj2YKPQGiULP4alrN2CS4uDyupHNuWu/nS0d2YbyXd235jwBE6ey2Xyk+XuvOZiO0Ywwqq9hUb+AJy6E9R91sNLMbX/1C1V8H74OntLLT3SKn2Y/n3zwSD1JU1l+tKqei8eaXezwO1gTQO/778LtbI3vSyw5pm3jSxgKPcfvAb9DZut2YjNRaHcBUSjnIwrdlyj0SKLQcxOFXpeeocdq3XVvxW0778k3d9T3urXejJAaE1odVkVtr81p4r+RDwEY34aRjwcty7KZX7+qqvqPkaPJmhLOsQncjdagmzz/dmLJ5u8xt0+bwLF7R7q549cKcXrD0Lq61tz21zV+mFKY7Ew0ew1RaYKtuO/AmCFa9cClSeyi3jmnRjr4qa+HGX9HfehprYcFsq2Khp7u2tKcKLolME+i0HgBUSj3TRR6AFFoiyg0TRSaKOH+olA9Q0+vmRKoCZ6G1AFWba8qxt8qL4qiqeLIm+o7G7lcLuuKTjtmKt7YdBt6641fTO+BOoo94ONgVuIwsZ5QfGjJ5lq183qc59+un9jYu+ST4ea3W4X3tfD16O/LPflxSFF8MG5tb+we322O27+r5Fu5JMe1p9tflo+Xy+90P+vl8jv1v/RjQO8j8rgp8S5NfFXTt9NHdsoYCmTD6Fj2RsYecstEoaJQ7pgodF+i0Jgo9NaIQq9LMvRY3cgmjnsSAVlZls294tVqtVelcbHNXehecUR12E3muG3pzTmyopFtSISSzf6Mp6iPG5PeV/G7bsiTEA9TSohDwERoEt9lHXrmZvci170CNeve4D3beAKj3mFK8b5ar98YOUYjDhquG3CPDGXCcOgcxyUjo5BblucPF4sHB/y7wGNnu+JKh/Zw+tfdmC/78SWMOVcwN6LQmiiU+RCF7ksU2hCFikIPLuEuo1DJ0EOkb4m37iH3hm7xUJpw0NChODIbipni1/eNdBtx24Zu7B+/OePbsFwue9uQZVnv8uGC+4qZqC+xYxZr/l6v3+i9tNR3aJv/DsVS3aBzzCuJC1VZPs6yl5t/Q4ud0M6JrlpTEaXvbBfF63Gzb+GSHLdhaJfm+beHwoj44xuaiSmOQq4+D1daPfX+Af/O9HMifbTHlfbu/PiZqr0HW3xO6P0dVZaPn3yMQ8/t9PiXZO/xP+ZcwRyIQltEocyKKPQAotAgChWFRst3C5lnFCoZeqzekGiz2TR/r9frLMuKoijfled5HLQdFvTEkdZ2u21VURRFlmXxPepjQsN4c5bLZZ7nTV1FUbQ2J174hOK9VLehtbHNu4vFohVrFkXR3KXfua/CGcJo7s/IZzXGsdd6/UaWvVwUrzdTdOf5t+PrSiKW6p3C6YBXrqgVu3eHKbW2sd5def7tong9/pfn386yl+Mr+mLx4BYuya1xWHXjm8+6jpvj7hKtNrf+2zpU6g1PRyHnmz5/Dlq/IpoosP6ejun90Ypln7wD/3r82Q116mn1TKmPn6aEW/vdxY0QhYpCmSFR6L5EoaLQWyYKvZasmeH7ZCW+nO1e6Pyq50ZtV1EUzRCezWYzflhKHPf0rti6TT1ktVrtvGmf+IziZiT0ltCsO2bD4x2VMLQ5I+tqFustZ2QbhnbXMftqnrLsxRBCVf3htRtyCc0pfrF4MDLEbN1ODwNTbncX67VaPZuOpeKL0FAj41u+Q+3pbdUBk4XHdY1fvXUp7Quvv71XFDX+89rLYVsXRrf/mEMl7LPrDm78heeP39e+TY0PvKHlx3x2m81HEr/uxnyC6RLCcIeOxpmO+bshCq2JQg+oSxR6U0ShaaJQUWh6xQRR6JFEoellJkTP0APF8wH1hpt5nu+8O73ZbI68/VtVVdySrsVicZK4qiiKC2zOkW1Ib2xVVenuD6faV8zE+GFKO2d32mw+svOucnwXbugyNjT7z+1odVLoG8fx0ZGTYdWl3dr1uCw/mr5fulg8GA6Ddh8qYfhouYWOCZO287OrqufSEeTOT3BnDBp2RdWr1bO3dsxzFaLQLlEosyIKPYAoVBR6s0ShVzH3nqEXUA+Bice/1CNoThux1SNu4hFJJ6+i1rs59TClk9c1vg2r1SrP85FtuNi+mrpZ3ZO/gHqYSXzTb7F4kOcPRQ+9mrE5rduk9U6r/12rbWPUw4viyZXGN7t7qIR3x2GlV2+teGc3by+m+9nt3PM7S9j3m979KJ0rRhKFtohCL9AGUeg5iEJPSxS6F1GoKPRaRKGXJBkK9BOGAjAtolC4D6JQAM7KMHkAAAAAYBYkQwEAAACAWZAMBQAAAABmQTIUAAAAAJiFp6/dAOBGmbQeAIDLE4UCcFZ6hgIAAAAAsyAZCgAAAADMQlZV1bXbAAAAAABwdnqGAgAAAACzIBkKAAAAAMyCZCgAAAAAMAuSoQAAAADALEiGAgAAAACzIBkKAAAAAMyCZCgAAAAAMAuSoQAAAADALEiGAgAAAACz8PS1G8CJZVl27SYAABdVVdW1mwCiUACYnYlGoZKhd2jfYzHLsrtZ5WIVWcUqVrGKVaxyO6vstTycz5G/iA6L/W5k9as3wObPuf02f86bf/UG2Pw5t3+6Uahh8gAAAADALOgZCgAAnECih8hEh9EBwMxNt/tngmQoAABwAjKeAHBnEhf36eZJDZMHAAAAAGZBz9A7ZIASANyZ6d54BwCAmyIZeodkPAHgztzlACUAALg8w+QBAAAAgFmQDAUAAAAAZkEyFAAAAACYhfnOGVqWZfN3nufnrmVnFXF79nK+xgMAAADAPZljMjTP8+1223pxsVgcnI7sKopivV53qyiKYih3WZZld5UxVqtVURQHrNg44IFLN7vKYW52cy6zB252W2z+vqsc4Ga3xebvu8oBbnZbbP6+q8DdOPL4v+7qx7P5V1z9JCVcsXabf90GXL32q+/A69Y+6c0/vgFT3/xrmdcw+bIssyzrZkJDCNvtNsuyk+RDsyzrTWtut9vlcqkjJwAAAABcxYySoWVZLpfL9DLL5fLIfGiWZekFttvtafOhsqsAAAAAMMaMkqFxJnS1WlWR1WrVu9i+WnnJzWbTVLHZbJrXt9ttN+VaFEU12mKxGKoUAAAAAOg1l2RoPKtmd5LNoijifOjBU3DGA/CrqorTlHmex/nQY1KuZVk2Fc12fgcAAAAA2Fc2k2xaPHp9aJPHLJMQPzRps9n0dtgcs8xOTTt7H52UZXP5TIfMfA/YfJt/7VZcjc23+dduxdXMfPO5HQ7Fme8Bm2/zr92Kq7H5Nv/arbia6W7+LHqGxmPS4x6gLfFbB8wc2mQ5F4vFUJYzzl0e1v+0Wat+Nv0BJQAAAADAPM0uGZpIIMZv7ZsMjZdP9/dspvvsfaj9Tk3K9SQPvgcAAACA+ZhdMvRMq4xPhh7zvKN4gPzBhQAAAADAPM0iGdr0wYwfwt7r4G6bhyVD90q5Hj/EHgAAAADmbBbJ0Ju1VzI0fvLSWVoDAAAAAHdtXsnQnUPUDx7DPr4n6WFVxM9NOmag/RxM9Flmp2Lzr92Ea7L5127CNdn8azcBCCGEbNi1m3YJMz8X2fxrN+GabP61m3BNNv/aTTi7u7y4338y9OAHDV3gCUXjq2i6hRogDwyZ9NUIgDtQDbt204AzEoXCHbvLi/vT127Avdk5LekBmq6gI7uFHnYpmvRxDAB3wI9JAAA4t/vvGRo73zD5s2rG4I/sSZpI299lRh8A7oMrOAAAnNu8kqE7k4kXGBq/r7hb6FUbAtw6OREAAC5PFApMy7ySoRcw/klKYVxH1KZAs4UCAAAAwDHuPxl68Mj3Mw2Z36vzaZwAvc0h/AAAAAAwFfefDI2db5j8mcawNw+RX61W5ygfuCcevQIAwOWJQoFpmVcy9HwO67aZXivOzOoWCoyUZS9m2Wev3QoAAOZFFApMxSySoU23zZ0TejYL7NvTM05WpruXjk9xGiMP7OvTn34phCqE8NRTL37qUy89evTatVsEAMD9E4UCEzKLZOgBmcR9VxmfDG1Gvu/UZGaNkQd2evTotfe97396880fhZCFkFVVePz4R88//2WRKAAA5yMKBSZnFsnQuItl4pnsIxfbaWS6M53iNEYe2MsXvvDV973v4auvvtG88sorb7z//Q8///mvXrFVAADcN1EoMDlZVVXXbsMlxDM6D21ys8xisTjgSUpFUTRp0M1m05vBzPO86e+Z3vPjl2zJsrl8pkAIIcteDKGqqq889dSLQ1/9qvrDyzYKuCiXfm6EQxHmSRQKszXdS/8seoaGEDabTfP3UJqy+XuoW2gW6b4br7VcLrsLlGU5fk7Sg2cvBWbi0aPXmrmZsuyzVVWF8JW+BavvfvevL9w2AADuW/24pO997weiUGBy5pIMzfM8foxSnudN38+yLLMsi5OPBw9Lj1OuWZY16dGyLPM8jzOkp3rIEjBPjx699vzzX27mZgqh5w7Nu7IPf/gXL9cyAADuWnxL/ld+5YvDC4pCgRs1l2RoeDLDuN1ul8tl3cez1YvzgAHyjTzP45lA1+t1U0X8IPs4Z7qzqZKhQFd3bqZ+L3zrk5/8lUs0CACAGWjdkq+q8NM//Z6e5UShwA2bUTI0hFBVVWLU+WKxOH6yg6Io0k9GGppONCYZCqR94xt/1pcJ/R/D0//vT/73wrfC93/mS1/6jQu2CwCAe9a9Jf/3f/9O+KX/Nnz0//nJQqJQ4LZNda7TY5RlWZZl87Cjelx87YS1FEXRmiS0KIoLZDanO38tMNL3vveDD3/4X/QNjY+++w9+HD7zanjh1er5ty7YNOAKXPq5EQ5FmIOBxyVV4T3/X3jnvwhBFAozMt1L/1TbzZDpHovAeNnP/Pfh8U/1vPHg7fDWPwihCt/8N/UL1XNOCHDnXPq5EQ5FuHvDt+RDCFUImSgUZmW6l/55DZMHuBOf+dPw6690Xv1K+Myr4ZtfaWJQAAA4lQ996BfCw7f73vlKePDjEELyqZ4At0Iy9A5lw67dNOBEXnglvP7wiXzoC98KIYQXXr1Wi4CzcnFnEhyocP/6b8mHd2/Jf+XiDQLO6y4v7pKhd6gadu2mASfygR+G3/t6ePDjEKoQqvDg7fDMOyGE8Et/d+2WAWfh4s4kOFDh/rklDzNzlxd3yVCAafrAD8PnHv3nsUjlH4XfeRS+ee0mAQBw33pvyf/xP3RLHpiQqc51ypDpzl8LjJe9PHZIgqnr4e659HMjHIowBz+JQj/x2fhxSV2iULh70730P33tBgAAAACTYnpQYLIMkwe4F5+4dgMAAJghUSgwKXqGAgDA5ZRl2fyd5/m5azmmipMUAgBwUyRDAQDgEvI83263rRcXi0WcHj1SURTr9bpbRVEU4xOavYWEEDabjawoADB1U53rlCHTnb8WGM8DlICGS/8klGW5XC4TC5wkz5hlqavDmKzrznYmCnEowhyIQoHGdC/95gwFAIAz2plhDCEsl8sj+4emM6EhhO12m863jmnnzkIAAG6cZCgAAJxRnGFcrVZVZLVa9S62r1aCcrPZNFVsNpvm9e12m0i5xg1YLBZD7UwXAgBw4yRDAe6F53gC3J6iKJq/V6tV/N/63TjP2Hp3vHgq0qqq4txonudxPnQo5RqvslqtWunOoijGFALMlCgUmJSpDu9nyHSnbADG65+t6RMhfLP9mtma4O659N+4ePT60Cc1ZpmE+HlHQ3OP7lymaUNiVtB0IQ5FmANRKNCY7qVfz1AAADiLOKsY9wBtid86YAR6k6BcLBZDE3rGfU67/U/jVxINiAs3Uh4AmCjJUIB70bkhD8B1xRnDxBD4kbnInVWkH220WCzqP+Ix9XtVmud5M4vowSP6gTskCgUmRTIUAADO4oDuk+dLhibebdKjie6rAAD3QTIUAADOokkyNr0yhyS6baYdlgyN1xpfAgDAHXj62g0A4ET6pq4HgK6yLJu8Z+JxSfGSxsUDg0ShwKRIht6h+IGkLRN9zhcAzFzi4s4k7Oxxmef5vn1Ca+PXGtPrs16m1Zj67/V6nXjQPADAVBgmf4eqYdduGgBwCBf3KTo4b3iBhONQFWVZZlk2lGDdbrdZlsmHAgCTJhkKcC+MTgKYsZ3Tkg6Jk5vL5bJVZrfY5XI5lA/NDnJYs4EbIgqFiZvbFVwyFAAAzmvMMPlLtGOcxWJR9zsuy7Isy/rvOCvaypk2El2Y9W4GgJs1tyu4ZCgAAJzXzqHltzP2fLVa9TamLMs4H+p5SgDAREmGAtyLT1y7AQBcz17PX0p0RE1kOeO3bid7C1yfKBSYFMlQAAA4vYNHvp9pyPyY9OVqtUq8Gzdsr9wrAMDtkAwFAIDzOt8w+YOfm9SIU5w787DHVwcAcF2SoQD3wnM8AebnsG6keyVAj68OuHOiUGBSJEMBAOAsmn6UOweVNwvs2/Uyzk6mu5fG7x6c0zRVKAAwdZKhAABwFgfkHPddZXwydL1eH1lCMFUoADB9kqEA98JzPAFuTPz49ZFPaU8sttNQurOl+5SkpjtquoQ4VWryUOAnRKHApEiGAgDA2SXyjM1bh2UY4+TmUNfOuPtnN9964aQtAMAVSYYCAMC5bDab5u/eIfDpNGUti3TfjddaLpfdBcqyTM9JGrdhvV73NiPP83iMvCcpAQATJRkKcC88xxPg9uR5Hj9GKc/zpvNmWZZZlsVpyoMzjHHKNcuyJptZlmWe53GGdKjraFzCer2uCynLsizLoijidoYQqqo6rJ3AfRKFApOSCWXuTJb5TOE+ZdmLIVRV9ZUQQvZyT8+gXtVzTghw51z6J6G3R2dL4nOMVx9arCiKnXOGbjabRL51TAmJQhyKMAeiUKAx3Uu/nqEAt+7Ro9c+/emXQqhCCE899eKnPvVS+Ktnrt0oAPZQVVViPtDFYnH8b4miKLpPRoqlM6F1CXH/0K66nQbIAwCTJhkKcNMePXrt+ee//OabPwohCyGrqvD48Y/C7/9aTz7UczwBblhZlpvNJs5XLhaL1Wq12WyGhq43qkhisaIoqqparVZx4nWxWGw2m5FJzDzPq6rabDat1O3IdgIzJQoFJmWqPVoZMt1eykCvT3/6pTff/NGrr77xxKu//kp48OPwuUdPvPiJngmbDFCCu+fSz41wKMIc9A+TF4XCLE330v/0tRvA6SUmpZroYQpz9o1v/FnPF/drHw8P3m4nQ4H7NWbGSQAAYCfJ0Dsk4wl343vf+0FVVSH0JUHeem94/J7w8J2fvOI5nnC/Rj5aBwCuQBQKTIo5QwFu14c+9Avh4dv97z348ROZUAAAAGAXPUMBbttn/jS89d7wtY8/8eIL3wrPyIQCAADAfvQMBbhtL7wSXn8Yfv2V6JVvhe//THjh1faSw8/xzLIXs+yzZ2keALwrG3btpgHn5GnycL/u8uIuGQpw2z7ww/B7Xw8PfhwevB1CFR68HZ55J3zxT8Iv/d2YtR89eu3Tn34phCqE8NRTL37qUy89evTamVsMwExVw67dNOA63JKHqbvLi7tkKMDN+8APw+cehfKPwh/+cSj/KPzOo5GZ0PBXzzz//JfffPNHIWQhZFUVHj/+0fPPf1k+FACAs3JLHrhZkqEA0/HcG6l3u8/x/NrH3ve+h6+++pO1Xnnljfe//+HnP//V07cNAIB56kahbskDNyybdL9WurLMZwp3JXv5iKlYlv9dePxTve9U1R8eXixwS1z6uREORZiDsaHplz/xsf/r+fiWfAjh4x9/9uHDn/qP//F/PkvLgIub7qXf0+QB7tRb7wmP/8HAe9V3v/vXH/7wL160PQAAzMTXPvbq4/aQpldeSQ5yArgUw+QB7kXrOZ4P3gkP3x5YNJMJBQDgNFpR6K5b8mdvD0CSZCjA/frMn4Zff6X94gvf+uQnf+UKjQEAYA7ckgdum2QowP164ZXw+sMn8qEvfCt8/2e+9KXfuF6bAACYmC996T/st4Jb8sANkwwFuBfd53h+4Ifh974eHvw4hCqEKjx4OzzzTvjin3zyk//4Cs0DAGBSHj167dOffumpp1783d/96lNPvfipT70U/uqZnuW6Uahb8sANkwwFuGsf+GH43KMQshBCKP8o/M6j8Et/d+02AQBw6x49eu3557/85ps/qqoQQlZV4fHjH4Xf/7X+fGiLW/LADcuqqrp2GzilLPOZwl3JXs5OXmb1nLME3A+Xfm6EQxHuzKc//dKbb/7o1VeffAT8r78SHvw4fO7R2FI+8dkQqvDNf1P/TxQK92S6l/6ptpsh0z0WgV57JEM/0TdGqY8wFO6JSz83wqEId+app17s/04/eDuUf/TEK6JQmKXpXvoNkwcAAAB+4nvf+8FgjuOt94bH77lscwBO6elrN4DTy7LBfmQTzdkDwMwlLu4AcHIf+tAvhIdvh8c/1fPegx+Hh+9cvEUAJyMZeodkPGGmxo1OAqYocXGXJwXgLD7zp+Gt94avffyJF1/4VnimkwkVhQKTYpg8AAAA8KQXXgmvPwy//kr0yrfC938mvPDq9doEcAKSoQAAAMCTPvDD8HtfDw9+HEIVQhUevB2eeSd88U/CL/3dtVsGcJT5DpMvy7L5O8/zc9dyTBUnKQS4f6Of4wkAALt94Ifhc4/C//5f2W6YRQAAIABJREFUhVC1nyAfE4UCkzLHZGie59vttvXiYrGI06NHKopivV53qyiKYnxCs7eQEMJms5EVBQAA4BK++ZVrtwDglLJZPWynLMvlcplY4CR5xvRzDMZkXXe2M1FIls3rM4W7l708+tEoo+/JV885S8D9cOnnRqRjYEcpTI4oFAh3en2f0ZyhOzOMIYTlcnlk/9CdT3TdbrfpfOuYdu4sBJgjo5MAuKpq2LWbBpyTKBTu111e3GeUDI0zjKvVKv78VqtV72L7aiUoN5tNU8Vms2le3263iZRr3IDFYjHUznQhAAAAAEDLXJKhRVE0f69Wq/i/9btxnrH17njxVKRVVcW50TzP43zoUMo1XmW1WrXSnUVRjCkEAAAAAOiayyRT8ej1oU0es0xC/LyjoblHdy7TtCExK2i6EBOHwZ0xWxOQ5tLPjXAowp0RhQJp0730z6JnaJxVjHuAtsRvHTACvUlQLhaLoQk94z6n3f6n8SuJBsSFGykPAAAAACPNLhmaGAI/Mhe5s4r0o40Wi0X9Rzymfq9K8zxvZhE9eEQ/AAAAAMzN7JKhZ1plfDI08W6THk10XwUY5DmeAABcnigUmJRZJEObJGPTK3NIottm2mHJ0Hit8SUAAAAAAAd4+toNmLWyLJu8Z+JxSfGSxsUDAAAAwGHmlQzd2eMyz/N9+4TWxq81ptdnvUyrMfXf6/U68aB5YNZGP8cTAABORhQKTMr9D5M/OG94gYTjUBVlWWZZNpRg3W63WZbJhwIAAADAXu4/GXphO6clHRInN5fLZavMbrHL5XIoH5od5LBmAwCn4goOAADnNq9k6Jhh8pdoxziLxaKqqqqqyrIsy7L+O86KtnKmjeogl9os4GyMToKJcwUHYJJEocCkzCsZunNo+e2MPV+tVr2NKcsyzod6nhIAAAAAjDSvZOgF7PX8pURH1ESWM37rdrK3AAAAAHDj7j8ZevDI9zMNmR+TvlytVol344btlXsF7twnrt0AAABmSBQKTMr9J0Nj5xsmf/BzkxpxinNnHvb46gAAAABgbuaVDD2fw7qR7pUAPb46AAAAAJizWSRDm36UOweVNwvs2/Uyzk6mu5fG7x6c0zRVKNDDczwBALg8USgwKbNIhh6Qc9x3lfHJ0PV6fWQJwVShAADcnmzYtZsGABziLi/us0iGxo9fH/mU9sRiOw2lO1u6T0lquqOmS4hTpSYPBQDgRlTDrt00AOAQd3lxn0UyNJbIMzZvHZZhjJObQ1074+6f3XzrhZO2wL3xHE8AAC5PFApMylySoZvNpvm7dwh8Ok1ZS3cGjtdaLpfdBcqyTM9JGrdhvV73NiPP83iMvCcpAQAAAMBIc0mG5nkeP0Ypz/Om82ZZllmWxWnKgzOMcco1y7Imm1mWZZ7ncYZ0qOtoXMJ6va4LKcuyLMuiKOJ2hhAm3ScZAAAAAC4sm1VCbcz0rokdEq8+tFhRFDvnDN1sNol865gSEoVk2bw+U7h72cunn5e6es5ZAu6HSz83wqEId0YUCqRN99I/l56htaqqEvOBLhaL4z/Foii6T0aKpTOhdQlx/9Cuup0GyAMAAADAXuaVDA0hlGW52WzifOVisVitVpvNZmjoemPkM7OKoqiqarVaxYnXxWKx2WxGJjHzPK+qarPZtFK3I9sJAAAAAHRNtUcrQ6bbSxnotccApU+E8M1RCxqgBPfEpZ8b4VCEOyMKBdKme+mfXc9QAAAAAGCeJEMBAAAAgFl4+toN4PTip963TLQDMzDKuNFJwBQlLu4AcGWiUGBSJEPvkIwnANyZxMVdnhQAAMYzTB4AAAAAmAXJUIB78YlrNwAAgBkShQKTIhkKAAAAAMyCZCgAAAAAMAuSoQD3wnM8AQC4PFEoMCmSoQAAAADALEiGAgAAAACzIBkKcC88xxOAq8qGXbtpwDmJQuF+3eXF/elrNwAAALgHVVVduwkAwCklLu7TzYfqGQoAAAAAzIJkKMC98BxPAAAuTxQKTIpkKAAAAAAwC5KhAAAAAMAseIASwL34hDFKABNQlmXzd57n565lfBVxw3Y6X8uB6RGFApMiGQoAAJeQ5/l2u229uFgs9spCphVFsV6vu1UURbEzfblcLkfWcto2AwBckmHyAABwXmVZZlnWzYSGELbbbZZlJ8ktZlnWzYTWVSyXy3QyVHITAJgJydA7lA27dtOAczI6Ce6Xi/uklWW5s9Plcrk8Mh2582DYbreJfKhkKHA4USgwKZKhd6gadu2mAQCHcHGftDgTulqt4o9vtVr1LravVpZzs9k0VWw2m+b17XY7JumZON5qMqcAwHRJhgIAwLkURdH8vVqt4v/W78b50Na748UD8KuqinOjeZ7H+dChlGuT31wsFoe1AQBgEiRDAe7FJ67dAAA64kk8e3Od8Yu9M37uFJcQ5z0beZ7HKdfefp1NOtVj4oG9iUKBSZEMBQCAs4jTjnE6smVnpjKtSaEuFouhVGacMD24/ykwB1/60n84dxVZ9mKWffbctQAMkQwFAICziDObiRRk/Na+ydB4+XSnzmb8e+9D7UcWAtyrR49e+/SnX3rqqRd/93e/+tRTL37qUy+Fv3rmTLWEUIUQ6loePXrt5LUApEmGAtwLz/EEuDEHdPM8XzJ05KPkJUNhhh49eu3557/85ps/qqoQQlZV4fHjH4Xf/7Wx+dCRUehfPVPXEkLW1PL881+WDwUuTDIUAADOoumDufOpRCO7bXYdlgzdmXIty7IoijzP8zwvisLj4+G+feELX33f+x6++uobzSuvvPJG+ODj8O8+fspqvvaxbi3vf//Dz3/+q6esBWCXp6/dAAAA4KLKshzKjRZF0XqO03a7rV9ZLBayonCXvvGNP6uqzqtf+3h48Hb43KOTVfO1j736+I3Wa6+80n4F4Nz0DAW4F57jCXCrdo49P3hw+viepCOHySeeaL/dbrMskw+FO/O97/2g6kmFhhBCeOu94fF7dhcxJgp96z3h8T8YeK/67nf/ekQRAKehZygAAJzewUnDVrfNc2i1rZtRjR9M30qPLpfLwbwJMEEf+tAvhIdvh8c/1fPegx+Hh++cppoH7wzWErIPf/gXT1MLwAiSoQAzlWUvhlBV1Veu3RAATmDntKTjy2mlSus5Q5fLZfNKnue9qd4syw6oUWoVru8zfxreem/42pMzhL7wrfDMiTKhw7X86q8++w//4VCPUeBCDruCT5dh8gD3YvTT5B89eu3Tn34phCqE8NRTL37qUy95iCfAWZ1vmPxpDc0Kmud5nLLcbre9i1UHOdvWAKO98Ep4/WH49VeiV74Vvv8z4YVXR60+Mgrtq+Uv//Jvv/Sl39ijqcAZzO0KLhkKMDN/9czzz3/5zTd/FEIWQlZV4fHjHz3//JflQwHOZ8zT2y/RjgHNr5p0MzabTfN3URTnbhVwOR/4Yfi9r4cHPw6hCqEKD94Oz7wTvvgn4Zf+7ty1/PEff+6Tn/zHp6wFYBfJUICbk2UvZtlnz1X61z72vvc9fPXVnzy485VX3nj/+x9+/vNfPVeNAJzf+CcphUM7osZr7VUdMAEf+GH43KMQshBCKP8o/M6jE2dCB2qRCQUuz5yhADfk0aPXvvCFrzYD2D/5yf8y/C/PhA/8cNTKnxg3RulrH3v18Rut1155pf0KAEc6eOT7mYbMn6Tz6WKxkAaFe/bNg2aTHxmFHlkLwInoGQpwKx49eq07gD38/q+Fv3rmZHW89Z7weGiK+uq73/3rk1UEQOR8w+RP9dykkW5kblMAgINJhgLcii984avdAezhg4/Dv/t4Yq39PHgnPHx74L3swx/+xZNVBMBFHD/gHQBgViRD71A27NpNA1K+8Y0/izOh/9nXPh6+9rFR648cnfSZP33iIZ4hhBB+9Vef/eQnf2Xc+sAVuLhPVNNtc+fQ8maBfXt6xmnNdPfS+N2Dk6HXfdATcKP2GiMPcG2SoXeoGnbtpgGDvve9Hwx+Sd96b3j8npPV9MIr4fWHT+RDX/jWX/7l337pS79xsiqAU3Nxn6gDco77rjI+Gbper3tfbxLrY6o2YSgAMHWSoQA34UMf+oXBAewPfhwevnOymj7ww/B7Xw8PfhwevB1CFR68HZ5554//+HMe5QlwckVR9P592GI7DaU7W1arVfzf8d1XE4UAAExFpkPBnckynylMVfY//NfhrfeGrz05Q+gL3wrPvBN+59Hu9fd9jmcI4eVnw3NvhBCq55w3YKpc+m9cPJXB0CfVLLNYLA4Yh14URZMG3Ww2vR088zxvcp2tZpRluVwuxzQgUUhwKMKUZS8fN+nKAVHou0ShMF3TvfTrGQpwM/oGsIfv/0x44dVz1fhcZ4pSAE5qs9k0fw+lKZu/h7qFpmeJjddq0pqxsiwTc5LGDdhut0NtiDOhF36EPQDACUmGAtyMvgHs4Yt/En7p767dMgAOlOd5PA49z/Om62VZllmWxRnGg59rFKdcsyxrEpplWeZ5HmdIezt+xquv1+u6hPJdRVHE7RwqBABgEqbao5Uh0+2lDDwxQOndAeyXYYASTJdL/yT09uhsSXyOY8bax4PlhwwNoh+5eroBDkWYrmOHyR9BFArTNd1Lv56hADfJAHaAO1JVVWJo+WKxOP63RFEU6YcaJTKh9epx/9BeJ2knAMB1SYYCAMDZlWW52WzifOVisVitVpvNZueo8yqSWKwoiqqqVqtVnHhdLBabzaaqqp1j8PM8r6pqs9ksFotWCavVqqoqo+MBgDsw1R6tDJluL2XAczyBA7j0cyMcijBdolDgANO99OsZCgAAAADMgmQoAAAAADALkqEA9+LQ0UkAAHA4USgwKU9fuwEAAMA9yLLBaQcnOqcYAMxc4uI+XZKhAADACch4AsCdSVzcp5snNUwe4F584toNAABghkShwKRIhgIAAAAAsyAZCgAAAADMgmQowL3wHE8AAC5PFApMigco3SHP8QSAOzPd+ekBAOCmSIbeIRlPALgzd/kcTwAAuDzD5AHuhed4AgBweaJQYFIkQwEAAACAWZjvMPmyLJu/8zw/dy3jq4gbttP5Wg4AAAAAdyab4fySeZ5vt9vWi4vFYq8sZFpRFOv1ultFURQ705fjZ/7qbXOWzfEzhfuQvXy1if+q55w3YKpc+rkRDkWYLlEocIDpXvrnNUy+LMssy7qZ0BDCdrvNsuwk+dAsy7qZ0LqK5XKZToaeMCELAAAAAMRmlAwty3K5XKaXWS6XR6Yjd/br3G63iXyoZCgAAAAAnMmMkqFxJnS1WlWR1WrVu9i+WlnOzWbTVLHZbJrXt9vtmKRntYvMKfAEz/EEAODyRKHApMwlGVoURfP3arWK/1u/G+dDW++OFw/Ar6oqzo3meR7nQ4dSrk1+c7FYHNYGAAAAAKDXXJKh8SSevbnO+MXeGT93ikuI856NPM/jlGtvv84mneox8QAAAABwWrNIhsZpxzgd2bIzU5nWpFAXi8VQKjNOmB7c/xSg3zev3QAAAGZIFApMyuySoYkUZPzWvsnQePl0p85m/HvvQ+1HFgIAAAAA7Gt2ydAzrTI+GTryUfKSoQAAAABwWrNIhjZ9MHc+lWhkt82uw5KhO1OuZVkWRZHneZ7nRVF4fDyQ4jmeAFxVNuzaTQPOSRQK9+suL+5PX7sBs1aW5VButCiK1nOctttt/cpisZAVBQDg1lRVde0mAACnlLi4TzcfOoueoY2dY88PHpw+vifpyGHyiSfab7fbLMvkQwEAAABgL/ffM/TgpGGr2+Y5tNrWzajGD6ZvpUeXy6V778ATPMcTAIDLE4UCk3L/ydAL2zkt6fhyWqnSes7Q5XLZvJLneW+q97COylKrAHBd0x1qBAAAU2GY/H4LXMbQrKB5nscpy+1227tYdZCzbQ0AMIorOAAAnNu8kqFjnt5+iXYMaH7VpJux2Wyav4uiOHergMnwHE8AAC5PFApMyrySoRcw/klK4dCOqPFae1UHAAAAAHN2/8nQg0e+n2nI/Ek6n55qZlIAAAAAmI/7T4bGzjdM/sLZyRuZ2xS4LZ7jCQDA5YlCgUmZVzL0fI4f8A4AAAAAnNUskqFNt82dM2w2C+zb0zNOa6a7l8bvHpwMve6DngAAAABgimaRDD0g57jvKuOToev1uvf17F1jqvbcJKCH53gCAHB5olBgUmaRDC2KovfvwxbbaSjd2bJareL/ju++migEAAAAABgyi2RoLJGpbN467GlIcV5yqHNo3OuzlW+N/5vuHJooBAAAAAAYMpdk6Gazaf7uTTWOyTBmke678VrL5bK7QFmWiTlJ4wZst9uhNuR5fvDEpsCd8xxPAAAuTxQKTMpckqF5nsfj0PM8bzpvlmWZZVmcYTz4uUZxyjXLsiahWf7/7N1PbFTXni/6ta2QHBE7b3AChOgpnPBmODNCWzBIlaWe+c2Ic2Z9751c3lWTwJ11J2pVoavoMmrJSEjvzDqzK8KQ06NItZ0Mjm/XyQyTURuBlBDOSwYcE4RB6v0GTiqb+udyuar2v89n5NS//SNVeC2+tdb6xXG9Xk8npH2XjqaffuXKld1XiH/RbDbTdQ56EQAAAACgryhJkqxrmJ2+Kzq7DPkfkn76oIc1m809zwxttVqD8tZRnj68gCiq1nsKZRJ9vffvqClJTvu9AUVl6CcnfBShuMxCgTEUd+ivysrQXUmSDNlaXqvVDv4uNpvN4U2NhiShu09Prw/tayJ1AiWkjycAALNnFgoUSrXC0BBCHMetViudV9ZqtUaj0Wq19tx1nqQMeViz2UySpNFopIPXWq3WarWSJNlzD369Xk+SpNVq1Wq1rldoNBpJktgdDwAAQJlE0YUo+q9ZVwFUQlFXtDJIcVcpAwfdoPTu+KfX26AExWXoJyeGH0jlUwp5lu0stN3eunTpxp/+tBVCiKJoaenta9c+OHPm5IFKAiaklON75VaGApSWPp4AZCoZLOvSgGk6wCy03d5aWbn+6NHTEKIQoiQJ29tPV1aut9tbk6sPGF8pB3dLCcqmlJk9VISj64FBjO/kn0XKUFwZzkLPfvg/Hz16eufOg/SNi4vHFxZ+86c//UNWVQGjKO7Q/1LWBTB5Bf0sAgCDDBnch+ekAJBnGxt3e4e4zc0H/R4LMBm2yQOUhT6eAADM3tiz0MeHBn/bl9y798O4rwswjDAUAAAAmLn552FhZ8B90YkTr8+0GKAybJMHAAAAsnD+m/D45XBzMX3bO+8cf/XVV7KqCCg9K0MBykI3eQAAZu8gs9DVzfDdQnh/M3XL7e+//+va2u8PXBZAf8JQAAAAIAvHnoRPvgzzz8L8TghJmN8Jh5/funVxaelk1pUBpRXpPF4yUeQ9haKKvs6sJXRy2u8NKCpDPznhowjFleEs9AVfHw+nHwRTUyiI4g79VoYClIVu8gAAzN6kZqGnH0zohQCGEYYCAAAAAJUgDAUAAAAAKkEYClAWuskDADB7ZqFAoQhDAQAAoHLW1r7IugSADAhDAQAAoCra7a1z567OzV24fPnG3NyFs2evhoeHsy4KYHaEoQBloZs8AABDtdtbKyvXHz16miQhhChJwvb20/DpewfKQ81CgUIRhgIAAEAlXLp048iRhTt3HnRu2dx8EN7cDp8vZlgVwCy9lHUBAAAAwCxsbNxNkp5bby6G+Z1wsZ1BQQAzZ2UoQFno4wkAwGD37/+Y9IlCQwghPH45bB8a83XNQoFCEYYC8AJ9RQEYTzRY1qUBIYTw1lu/Hfj3cf5ZWHg+23KAAijl4C4MLaFSflKBaevtK9pub2VdFPAzgzuFkAyWdWnAz5aW3g7vb3bfuno7nL+TRTlA3pVycBeGllApP6nA3g7Qx7NvX9GVlevyUMgJgzsAE3Ht2gfhu4UX8tDV2+Hb18LqAcJQ3eSBQhGGAtC/r+jRowsffXQjw6oAAJisM2dOhk++DPPPwvxOCEmY3wmHn4ePvwpv/JR1aQAzops8AP37im5uPuj3WAAAiuzYk3CxHS62w9fHw2nzPaByrAwFKIux+3g+PjR4p21y794P474uAAA5NqkkVDd5oFCsDAXI2NraF5cu/W2WFcw/Dws7Yfs3/e6LTpx4fdb1AJRaHMedn+v1+rSvMpFLTPbVAAAyJAwFyEa7vXXp0o2NjbtJkvz3//750tLb4Z8Oh2NPsqnm/Dfh8cvh5mL6tnfeOf7qq69kUw9AGdXr9fX19a4ba7VaOh49oGazeeXKld5LNJvNg+SYy8vLuz+0Wi15KABQaLbJA2Sgb/f28Ol74eHh8V/0IH08Vzd7+4p+//1f19Z+f4AXBeBncRxHUdSbhIYQ1tfXoyiaSB4aRVFvErp7ieXl5bFDTOknsAfd5IFCEYYCZKBv9/bw5nb4fHHIs6bo2JPevqK3bl1cWjqZTT0AJRLHcWdl5SDLy8sHzEOjKBr+gPX19TFizWaz2TfDBQAoKGEoQAY2Nu6mk9Cf3VwMN09lUU4I4Ze+ovFn4Q+3QvxZ+LAtCQWYiHQS2mg0kpRGo9H3YfvVlXK2Wq3OJVqtVuf29fX1fUWucRz3XWoKAFBcwlCAWbt//8eB3dsfvxy2D435upPq4zmpvqIAhNBsNjs/NxqN9H/u3pvOQ7vuHV168WaSJOlstF6vp/PQfUWuB8lngQrRTR4oFGEowKy99dZvB25mnH8WFp7PthwApii9srJv1pm+cbxlmOlXSOeeHfV6PR25jrg41FGhAEApCUMBMrC09PYL3Yp2rd4O5+9kUQ4AU5GOHdNxZJcxksq0ToRaq9UGJZjpwHSU9adxHHdWmw6pHACgcIShABm4du2D3u7t4dvXwuoBwlB9PAFyJp1sDokg03ftNwxNP374Ws5arbb7wygNkTob5BuNhiWiwB7MQoFCEYYCZODMmZO93dvDx1+FN37KujQAJmaMZZ7TC0NHzzQ7Z7nUarWxjzEFAMgnYShARnq6t0tCAUqmswazsypzkH0t20wbLwwdErkeZJkqAED+CUMBsjap7u36eAIwmkEpZxzHnRNI+/ZiAujDLBQoFGEoAABM155b1Mc+l3P0laSjXMJRoQBA6QlDSygaLOvSAIBxGNyLaOw95jPYnN73Eun001GhAEBZvZR1AUxekiRZlwBk4V17lKC0hgzu8lB27Xks6XDNZrOzyHTsyeR4n0ZzVyg8s1AouKrNJ60MBQCA6ZreNvmJmNRRoclYJvSHAADGVLURXBgKAADTtefO92z7tneOCq3Vao4KBQDKTRgKUBZ2JwFU2OidlMKLC1HTP2ebyQJFZRYKFIowFAAAJm/sJZZTWpvZN+iM47iToh5kgzwAQFEIQwEAYLqmt03+gH2T0paXl6N+Opvoux6j4zwAUETCUICyeDfrAgCYufGWkToYFJgks1CgUIShAAAwFZ1lm3se6Nl5wH5Xeo5+4mf6XmEoAFBZL2VdAAAAlFO9Xt9XX6Ow/5iyKwwd8vQrV670ffqeR4XGcdx5bqPR6FxCogoAFFGUJEnWNTBJUeQ9hWKIvo6yLmEPyWm/TKAADP05F0U//7ZvNBqDDtlsNpudtHGMd7NzieFPH6WSvuI47hwb2mq1BmWgPopQFGahwEQUd+i3TR4AAKau78LMrrvG64bUaDQ6Pw/aKZ9OMDU+AgCqTBgKAADTkt6E3ndN5SgxZbq3e++96WelO793xHE89pmkAAAlIwwFKAt9PAHyp16vp9so1ev1zuLNOI6jKErHlGOfwpmOXKMo6sSju6eIphPS4U2WAMZhFgoUSlG39zNIcY9sgKqZ/GlN74bw50m+ntOaoBAM/YXQd0Vnl1GO+xzysPTBo4MMOfFzCGeGQsmYhQITUdyh38pQAACYriRJhuxPr9VqB/+3RLPZTB8e2mu8JBQAoGSKGuIySHGDeagafTyBiTD0F0gcx3Ecp9sl1X8xwas0m82uQ0KbzeYMYlAfRSgKs1BgIoo79Be1bgYp7mcRqsY0FJgIQz854aMIRWEWCkxEcYf+l7IugMkbcihVQT+mAFBxo5w4CQAA7MmZoSWUDJZ1acA06eMJ5WVwByC/zEKBQhGGAgAAAACVYJs8AAAwAQ5rAoCSKeVhTcJQgLL4c9YFAFBtEk+oKLNQKK8hg3txc9LqhqFxHHd+rtfr077KRC4x2VcDAAAAgEqpYhhar9fX19e7bqzVaul49ICazeaVK1d6L9FsNg+SYy4vL+/+0Gq15KEAAAAAsC/VaqAUx3EURb1JaAhhfX09iqKJ5KFRFPUmobuXWF5eHjvElH4Ce9DHEwCA2TMLBQqlQmFoHMedlZWDLC8vHzAP3fPEhPX19TFizWaz2TfDBQAAAABGVKEwNJ2ENhqNJKXRaPR92H51pZytVqtziVar1bl9fX19X5FrHMd9l5oCAAAAAKOrShjabDY7PzcajfR/7t6bzkO77h1devFmkiTpbLRer6fz0H1FrgfJZ4EK0ccTAIDZMwsFCqUqYWh6ZWXfrDN943jLMNOvkM49O+r1ejpyHXFxqKNCAQAAAGAiKhGGpmPHdBzZZYykMq0TodZqtUEJZjowHWX9aRzHndWmQyoHAAAAAPZUuTB0SASZvmu/YWj68cPXctZqtd0fRmmI1Nkg32g0LBEF9qCPJwAAs2cWChRK5cLQKT1l9DB09Eyz05i+VquNfYwpAAAAALCrEmFoZw1mZ1XmIPtatpk2Xhg6JHI9yDJVAAAAKIG1tS+yLgEom0qEobk1KOWM47hzAmnfXkwAfejjCQDA7E1hFtpub507d3Vu7sLlyzfm5i6cPXu13d6a/GWASqpWGLrnFvWxz+UcfSXpKJdwVCgAAADV1G5vraxcf/ToaZKEEKIkCdvbT1dWrstDgYkofxg69h7zGWxO73uJdPrpqFAAAAAq5dKlG0eOLNy586Bzy+bmg6NHFz766EaGVQGl8VLWBZTNnseSDtdsNjuLTJMkGe9FOp2X9mXsywENPMvpAAAgAElEQVR58a6d8lBs443gAJCxSc9CNzbu9v7zdHPzQb/HAuxb+VeGpk1vm/xETOqo0GQsE/pDAABjMoIDQHh8aPDolty798NMiwHKqFph6J4737Pt2945KrRWqzkqFAAAgMqZfx4WdgbcF5048fpMiwHKyDb5CRu9k1J4cSFq+udsM1mgqOyRBwBg9iY+Cz3/TXj8cri5mL7tnXeOv/rqK5O+ElBF5V8ZOvYSyymtzewbdMZx3ElRD7JBHgAAALqsrX2RdQn7sboZvlsI72+mbrn9/fd/XVv7fXY1AeVR/jA0bXrb5A/YNylteXk56qezib7rMTrOAwCQB30nsbuyLg0qqt3eOnfu6tzchcuXb8zNXTh79mq7vZV1USM49iR88mWYfxbmd0JIwvxOOPz81q2LS0sns64MKqeUg3u1wtDpGW8ZqYNBgUl6N+sCAKg2nb4gV9rtrZWV648ePU2SEEKUJGF7++nKyvXw8PCErzSNWeixJ+FiO8SfhT/cCvFn4cO2JBQyUcrBvRJhaGfZ5p4HenYesN+VnqOf+Jm+VxgKAADANFy6dOPIkYU7dx50btncfHD06EL4fHHIs3Ln9IO9HwOwH5VooFSv1/fV1yjsP6bsCkOHPP3KlSt9n77nUaFxHHee22g0OpeQqAIAANBlY+Nu78qtzc0H4d6pcLGdRUUAuRAVel3r6DpnGTQajUGHbDabzU7aOMb/lvRxCUOePkolfcVx3Dk2tNVqDcpAo6gq7ykUXfR13s9YSU77ZQIFYOgnJ3wUIVfu3//xxIl/DKHvhDMJrX8JC89nXdPBmJpC3hR36K/ENvm0vgszu+4arxtSo9Ho/Dxop3w6wdT4CAAAgGl4663fDmxvMv+scEkowARVJQxNb0Lvu6ZylJhyeM+s9LPSnd874jge+0xSAAAAGN3S0tvh/c3uW1dvh/N3sigHIC+qEobW6/V0G6V6vd5ZvBnHcRRF6Zhy7FM405FrFEWdeHT3FNF0Qjq8yRLAOHSTBwDgF9eufRC+W3ghD129Hb59LaxOOgw1CwUKpajb+8czcJtAyijHfQ55WPrg0UGGnPg5hDNDoWQmf2bouyH8eZKv52AmKARDPznhowg5FP3rq+HzxXDzVHj8cph/Fs7fCat3whs/Tfgyk56F9mVqCnlT3KG/KitDdyVJMmR/eq1WO/i72Gw204eH9hovCQUAAID9OfYkXGyH+LPwh1sh/ix82J58EgpQNEUNcQ8ijuM4jtPtkuq/mOBVms1m1yGhzWZzBjFocYN5qBrd5IGJMPSTEz6KkEP5n3COztQU8qa4Q39R62aQ4n4WoWryPzc144RCMPSTEz6KkEP5n3COztQU8qa4Q3+1tskDAAAAAJUlDC2haLCsSwOmSR9PKC+DOwD5ZRYKFMpLWRfA5BV0lTIAMMiQwV0eCgAAo7MyFAAAAACoBGEoQFn8eYqvvbb2xRRfHQCA4prmLBRg4oShAAzUbm+dO3d1bu7C5cs35uYunD17td3eyrooAAAAGJMwFID+2u2tlZXrjx49TZIQQpQkYXv76crKdXkoAAAABSUMBSiLSffxvHTpxpEjC3fuPOjcsrn54OjRhY8+ujHhKwEAUFy6yQOFops8AP1tbNzt7V+9ufmg32MBIERRNOiupHdEAQByb8jgXlxWhgLQz+NDg//hmty798NMiwGgCJLBsi4NABhHKQd3YShAWUy2j+f887CwM+C+6MSJ1yd6MQAACks3eaBQbJMHYIDz34THL4ebi+nb3nnn+KuvvpJVRQAAAHAQVoYCzM7a2hdZl7Afq5vhu4Xw/mbqltvff//XtbXfZ1cTAAAAjE8YCjB17fbWuXNX5+YuXL58Y27uwtmzV9vtrclfZuJ9PI89CZ98GeafhfmdEJIwvxMOP7916+LS0slJXwkAgMLSTR4olKjQJ57SK4q8p5Av7fbWysr1I0cW7tz5uQ/74uLxv/xl+//7l/83HHsyySu9O80Dm74+Hk4/CCEkp/2GgXwx9JMTPoqQQ9HXM2kDPdVZ6C/MQiFvijv0WxkKMF2XLt1IJ6EhhM3NB0ePLoTPF4c8K3dOP9j7MQAAAJBvRQ1xGaS4wTyU1dzchf5/Ked3QvzZrKs5MN/JQ94Y+skJH0XIoRmtDJ0Js1DIm+IO/VaGAkzR/fs/DhweHr8ctg/NthwAAACoNGEowBS99dZvo2jAF/Lzz8LC89mWAwAAAJUmDC2haLCsS4MqWlp6O7y/2X3r6u1w/s6Er6SPJ5SXwR2A/DILBQpFGFpCyWBZlwZVdO3aB+G7hRfy0NXb4dvXwuqkw1CgvAzuAAAwEcJQgOk6c+Zk+OTLMP8szO+EkIT5nXD4efj4q/DGT1mXBgAAANVS1MZPDFLcZl5QYr/28fz6eDj9INNaDkofT8gbQz854aMIOaSbPDA9xR36rQwFmKGCJ6EAAABQaMJQAAAAAKAShKEAZaGPJwAAs2cWChSKMBQAAAAAqARhKAAAAABQCS9lXQAAE/LnrAsAoNqiaGDf6oJ2mwVGYhYK5TVkcC8uYSgAADABEk8AKJkhg3txc1Lb5AEAAACAShCGApSFPp4AAMyeWShQKMJQAAAAAKAShKEAAAAAQCVooARQFvp4AhREHMedn+v1+rSvMt4l0kWO/SJAJcx2Frq29sWlS38700sC5RLp+VgyUeQ9hdyJvi5ql71eyWm/YSBfDP3FUq/X19fXu26s1WpdyeNBNJvNK1eu9F6i2WyOEmjGcdxsNnuLDHvV6aMIOVSmWei//ce/X7p0Y2PjbpIkURQtLb197doHZ86czLouqK7iDv1FrZtBivtZhBIr0zRUGAp5Y+gvijiOl5eXhzyg1WodfPVlFA0bcfZMXftmtV0ajUaz2ex7aR9FyJvyzEIfHj7yn/+fI0cW7tx5sHvD4uLxv/xl+49//Ht5KGSluEO/M0MBykIfT4C82jMJDSEsLy8fcH3o8CQ0hLC+vj4kbx20arXrlitXrvQNQ4GcWFv7YtaXnMEs9OapdBIaQtjcfHD06MJHH92Y/rWBshGGllA0WNalAQDjMLgXXToJbTQaSUqj0ej7sP3qSjlbrVbnEq1Wq3P7+vp638g1juN0EtopMo7j3R/SqWjvNnwgc+321rlzV+fmLly+fGNu7sLZs1fb7a2si5qcm6fSSeiuzc0HGxt3MykHKDRhaAklg2VdGgAwDoN7oaXXUfbuMW82m+k8dOxFl+koM0mSdDZar9fTeWjfyDV93Var1VtGHMfpPNTiUMiVdntrZeX6o0dPkySEECVJ2N5+urJyPTw8nHVpk/D4UNh+ZcB9yb17P8y0GKD4irq9n0GKe2QDlFh5TmtyZijkj6E//9ILeAe9WaM8Zoh006RBZ48Of0yngD27JA2q00cRMnTu3NVHj552rZ1cXDy+eeZfw8V2VlVN0vLfhe3f9L0nSf4w41qAXcUd+q0MBQCAaUkHi+kVoF3Sd41xcmgn5azVaoNOBU2v5exa15m+oiWfUEQbG3f77iIPN09lUs/knf8mvL/ZfePq7aWl32VQDFBwwlAAAJiWEXPG9F37DUPTjx/ej76zz72rUdIYrwDkx/37Pw5cnPX45bB9aLblTMfqZvhu4YU8dPV2+Pa1tbXfZ1cTUFTCUICy0E0eIH/GWOY5vTB0+L1AQb311m8H9tObfxYWnk+9ghnMQo89CZ98GeafhfmdEJIwvxMOPw8ff7W0dHL61wbKpqjb+xmkuEc2QInN6MzQd0P489Qv4sxQyBtDf86NeBZnCKFer3cWbO7rPR39iXEcd7onDTpadLghfxwfRcjQ2bNXN/7PW+Hm4gu3rt4Oh5+HD6d/ZuhMZqG/+vp4OP3zmQCmppCh4g79VoYCAEDljLFkNR2eOloUcuXatQ/67iIPq3eyK2pqTnefjgqwL8JQgLKY5RfyAOzTnsswx97D3nUA6MQvEcdxs9mMoqhzoSFtmoBMnDlzsu8u8vDGT7O4vFkoUCgvZV0AAACU0xirLztPnHbauGdtzWaz06Q+rdFoWBYKeXTsSbjYDhfb6V3kAPQShgIAQBnMoNV7rVYbkoQObOEyVEGPG4P8koQC+zTeCF5ctskDlIVu8gA5Nr1t8rO0vr4eRdGgPDQZy2z/BMAUmIVCwVVtBBeGAgDA1O25LX3sPfVT0mw2O//aabVa6WWnV65csVMeACgoYSgAAJTB6J2Uwj4Xotbr9TiOW61W55a+x4kCAOSfMBSgLPTxBMiZsXe+T2nL/AEXn9br9XQeanEo8DOzUKBQhKEAADB109smP4O+SR3plDZv+/oBAEahmzwAABRYvV7f1wb5zrM6P3dizX2tSB3jogAAmbMyFKAs9PEEyJ/Oss09o8POA/a70nP01Zrpe9PPWv6Fne/AOMxCgUIRhpZQNFjWpQEA4zC4F9cYp3/u9ymjh6F7dj3a1873WW7PBwCYFGFoCSWDZV0aADAOg3txpddaDll3OeLD9jRik/dGo5H+z9GXrw5aWwoAUBTCUICy0McTIN+GJJWdu8ZbbpkONwet7kxnl1156+hRbPpeYSjwM7NQoFCEoQAAMEWtVqvzc98AcUhM2TH8bIT0s5aXl3sfEMfxkDNJ0wVcuXJlSJyafhFhKABQRFGVd1fNZpvPeN05e58+4otEUaXfU8in6OvyHOqXnPYbBvLF0F8IXTFis9ncndTFcZzOLmu12qAgMp2B9n3Hu16q0WjsJqRxHDebzfT+975Pbzab6YWru1lnp8jQs6y190V8FCFbZZpwjs7UFDJU3KG/qHUfUHo+2jFk9jmGrgll5xKdue9wvdPW9IsMqbO4n0UosRnNTd+dxR4lM07IG0N/UYzS7WrIW7lnGBoGzD+7tFqtQXPRvjPk0V/ERxGylWUYOpNZaF+mppCh4g79ldsmH8dxFEV953nr6+tRFE0kD42iqO9MdH19fXl5ec8wtF6vLy8vD5qM7tZ5kJP1AQCYsSRJhpwHWqvVDv7PiWaz2dUZqcuQJDSEEMfx8KeHX+q0QR4AKK5qhaFdu4f6Wl5ePmAeuufX/uvr60NmkINWrXbdcuXKFXkoAECBxHHcarXSgWOtVms0Gq1Wa8/5Z5Iy5GHNZjNJkkajkZ491mq1Vqs1SojZ9+n7qhMAIOeKuqJ1POmYsnOO0q6uXUVj/2/pijLTX793RbF9v5kfdNjToNd3WhMUQpmOcLIXCfLG0E9O+ChCtso04RydqSlkqLhDf4VWhqZTxd6QsWtX0diLLruSynTcWa/X071E+65RTV+31Wr1lhHHcfqLeotDAQAAAGBERQ1xxzDKqfOjPGaI9PLSQUcyDX9Mp4A9uyQNqrO4wTyUWJm+qPf1O+SNoZ+c8FGEbJVpwjk6U1PIUHGH/qqsDE0Hi0MOhk/fNcaJSJ2Us1arDTqSqWtv/qAiLfkE9u3drAsAAKCCzEKBQqliGDokZ0zftd8wNP344YfTd/a5dzVKGuMVAAAgJ6LBsi4NABhHKQf3KoahU3rK6FHmnn08AQCgcJLBsi4NABhHKQf3qoShnTWYe66pHLRsc0/jhaFdS1ZH/EiN/scBKuTPWRcAAEAFmYUChVKVMDS3xliyms5SHS0KAAAAACOqXBi65xb1sfewj76SdLxLxHHcbDajKEovC7XjHgAAAABGVIkwdIzVlwd84gQvsRuARlG0vLzc6VYfQmg0GjMoDygSfTwBAJg9s1CgUF7KuoASmsE5nrVabcgG+fFaehX67FsAKIFCN+UEAIBCqMTK0LTpbZOfpfX19SiKBuWhQ1p9lbILGJCJtbUvsi4BysYIDgAA01a5MHTPreV523uebjHfarXSy06vXLmigRLwq5n08Wy3t86duzo3d+Hy5RtzcxfOnr3abm/N4sIAAOSTbvJAoVQuDJ2B0TsphX0uRK3X63Ect1qtzi3pU0QBpu7h4ZWV648ePU2SEEKUJGF7++nKynV5KAAAAIVQiTB07J3vU9oyf8DFp/V6PZ2HWhwKzM7NU0eOLNy586Bzw+bmg6NHFz766EaGRQEAAMCIKhGGpk1vm/wM+iZ1pFPavO3rBzIzgz6eN0+lk9Bdm5sPNjbuTv/aAADkUg66yTvOHhhd5cLQ6RlvGWlXrLlrX6+wr135AON7fChsvzLgvuTevR9mWgwAAJXnOHtgDFUJQzvLNveMDjsP2O9Kz9FXa6bvTT9r+Rd2vgN5NP88LOwMuC86ceL1mRYDAEDFOc4eGEtVwtAxlm3u9ymjh6F7dj3a1+LQWW7PB3JtBn08z38T3t/svnH19tLS76Z/bQAAcimrbvKOswfGUpUwNL3Wcsi6yxEftqcRm7w3Go30f46+fHXQ2lKA6VrdDN8tvJCHrt4O3762tvb77GoCAKCSHGcPjKUqYWjakKSyc9d4yy3T4eag1Z3p7LIrbx09ik3fKwyFfCrnIe7HnoRPvgzzz8L8TghJmN8Jh5+Hj79aWjqZdWUAAFSJ4+yBcUVJkmRdw4zEcby8vLz7c61W6w0r6/V6Z0lmq9XqGzJGUdT5ue//uuEP2LOG9NMH1ZCus/dFoqhC7ynkULu9denSjY2Nu0mSRFG0tPT2tWsf/M3c/zWLa7872z1KXx8Pp3/+Kj457dcOZMbQT074KEK2oq+jvR80JTOehXYs/13Y/k3fe5LkDzOuBSqouEN/hVaG1uv19D70er3eiRHjOI6iKJ0wjr3cstVqdX6OoqizhDOO43q93klCw4Clo+m1pcvLy/V6vdls7raYbzabzWYzXeegFwGy0m5v9T3EPTw8nHVpU3C6e1MSAADMjuPsgbEUNcQdW3rp5SBD/p/suTI0hNBsNvc8M3TQqs/w4sLPMV6kuME8lMC5c1cfPXradXTR4uLxzTP/Gi62p375rL6TtzIUMmXoJyd8FCFbVVwZ+vBw+PS98OZ2uLn48y2rt8O3r23883WHOMEMFHfor9DK0F1Jkgw5D7RWqx38jWw2m12dkboMSUJDCHEcD396+KVOp4VC3mxs3O17iHu4eWoWl8+qjycAhBBCiAbLujQorVycU5/VLNRx9jB9pRzcixriHtDuxvN0u6T6LyZ4ld0d7und981mc/RLdD19xDqLG8xD0d2//+OJE/8YQt8hIQmtfwkLz2dd06xYGQoZMvSTEz6KMEu959Rv/NP/CMeeZF1XdhxnDzNX3KG/qHUzSHE/i1ACc3MX+v/9m98J8WezrmaGzDghQ4Z+csJHEWZm95z6I0cWOnuSFhePb/4f/zt88mWl89BfmJrCbBR36K/cNnmA6VlaervvIe7h/J1ZXP7dWVwEAIBsXbp0I52Eht1zmd7cDp8vDnnWFJmFAoUiDAWYmGvXPgjfLbyQh67eDt++FlZnEoYCAFABfc+pDzcXZ3ROPUDBCUNLqJSn20IhnDlzsu8h7uGNn7IuDSg2gzsAu+7f/3HgvtTHL4ftQ7MtB6B4irq9n0GKe2QDlEP09S/BROoQ99JzMBNkyNBPTvgowsxEr/2nsP2bPneU/Zz6EZmawmwUd+h/KesCAEqqMkkoAAAzdf6b8PjlcPPFE0JXb4fDzzMqCKBIbJMHAACA4ljddE49wNiEoQBloY8nAEAVHHuSr3PqzUKBQrFNHgAAAArl2JNwsR0utit1Tj3ARFgZCgAAAMUkCQXYJ2EoQFn8OesCAACoILNQoFCEoQAAAABAJQhDAQAAAIBKEIYClIU+ngAAzJ5ZKFAowlAAAAAAoBKEoQAAAABAJQhDAcpCH08AAGbPLBQoFGEoAAAAAFAJL2VdAAAAUAZRFA26K0mSWVYCAEzEkMG9uKwMBSgLfTwByFQyWNalAdNkFgrlVcrBXRgKAAAAAFSCbfIlZIMSAJRMKTcoAQDA7AlDS0jiCRWljyeU15DBXU4KQMbMQoFCsU0eAAAAAKgEYSgAAAAAUAnCUICy0McTAIDZMwsFCkUYCgAAAABUgjAUAAAAAKgEYShAWejjCQDA7JmFAoUiDAUAAAAAKkEYCgAAAABUgjAUoCz08QQAYPbMQoFCEYYCAAAAAJUgDAUAAAAAKkEYClAW+ngCADB7ZqFAoQhDAQAAIO/W1r7IugSAMhCGAgAAQE6121vnzl2dm7tw+fKNubkLZ89eDQ8PZ10UQIEJQwHKQh9PAIByabe3VlauP3r0NElCCFGShO3tp+HT9/KVh+Z1FmotLdCXMBSAiTHjBKiyaLCsS4OiunTpxpEjC3fuPOjcsrn5ILy5HT5fzLCqnOtdS9tub2VdFBRVKQd3YWgJlfKTCuSZGSdMm8GdQkgGy7o0KKqNjbvpJPRnNxfDzVNZlFMEDw/3rqVdWbludgrjKeXgLgwtoVJ+UiHncrEiMqs+nmacMH0Gd4AKun//x4G/5x+/HLYPzbacwXLVTf7mqd61tEePLnz00Y0MiwJyJTKHLpko8p7C7LTbW5cu3djYuJskSRRFS0tvb/zT/wjHnmRd12xdf/fU/17pWrOwuHh8YeE3f/rTP2RVFFSHoZ+c8FGEaYhe+09h+zd97pjfCfFnMy+nCJb/rv//sRCS5A8zrgXKrbhDv5WhAGMqxnn2M3DzVO/urc3NBxsbdzMpBwCgPM5/E97f7L5x9XY4fyeLanLv8aGw/cqA+5J7936YaTFAXglDAcaUu/PsM+njacYJADA9q5vhu4UX8tDV2+Hb18JqnsLQ/HSTn38eFnYG3BedOPH6TIsB8uqlrAsAKKqNjbt99gTcXAzzO+FiO4OCMrE74+y/F8mME6CPOI47P9fr9WlfZexLzKZOYA/HnoRPvgyfL4b5nfD45TD/LBx+Hj7+KrzxU9aV5dX5b8Ljl8PNF1YnvPPO8VdfHfT9PVA5wlCAcfxynn2/Ps6759kvPJ95URnpN+MMq7eX7v/fGRUEkFP1en19fb3rxlqtlo4dD6jZbF65cqX3Es1mc8RAs+8r7Gq1WlJRyMCxJ+FiO1xsh6+Ph9M9neXpsroZPn0vvL/56+x09fb3rVdv3bqYaVlAjhT1rFMGKe75tVA4zrP/2cPD4dP3wpvb6Rln+Pa1jX++vrR0MtPKoBIM/YUQx/Hy8vKQB0wkZ4yifl/R/WLP1HXPIncN+rz5KMI0RF8P+3tNfw8Ph88Xw81TP6+lPX9n47/9L/NSmLjiDv1FrZtBivtZhMKJ/svf9F0RGQ4/Dx9WZpv8rp4ZZ1i9k6w8zrosqARDf/6NGDIeMA8dnoTuGpKHjljkrr4fOR9FmAZh6IH8spY2Oe23E0xecYd+DZQAxlWI8+xnY3f3VvxZ+MOtEH8WPmw7xwqgIx0yNhqNJKXRaPR92H51paitVqtziVar1bl9fX19UBiavnqtVku/QledYbTgFSB7ThUA+hGGAoxr9zz7+WdhfieEJMzvZHyefR76eJpxAryo2Wx2fm40Gun/3L03nTN23Tu69FGkSZKks9F6vZ7OQ/tGrunr7q4e7UpXm81m19KPCZ5zChReHmahACMr6opWBinuKmUonBd2LeXhPPt3Q/hzxiWk2Y4Es2Hoz7n0Isohp23u+Zgh0i2PBu21H/6YdGenIQWkt9L37rj3UYRpKMY2+ZzNQnuZl8I0FHfotzIUYBIyT0IByJ90XNi10zwtfdcYKy47KWetVht06mh67Wfv+tNOElqr1YZcKP3i6bWoAAAFIgwFKIt8fyEPUEHpZHPIFvj0XfsNQ9OPH95/qRN0duWYo79C2CstBSrKLBQoFGEoAABMxRjLPKcXho7Sqv4g7ewBAAqhqNv7GaS4RzZA4RTjCKfsOJsJZsPQn2edw0B7T9jsMuKpnQd5YvrEz/SxoXEcd2rbs4PTkONNfRRhGkw4J8K8FKahuEP/S1kXAMCE5P7oegByIt0vvl6vj7ggNJ3n2i8P/MosFCgU2+QBAGC69kwbx96fPnojo4Nvge8sLA0jrCEFAMgnYSgAAEzeGAeGHvCJU71EOksd0rYeACDnbJMvofRZTl0KepoDMBK7k6C8hgzusGt6+9bTh412bun7yPE+qCaoUHhmoVBwVZtqWhlaQslgWZcGAIzD4F5009smP1W7R4t2JaFDPnVDPqg+wwCQW1UbwYWhAAAwXXtuS5/B1vj92o1B02eSNhqNQv/LBwAg2CYPUB76eAJU2OidlMJeC1F798WHEFqtVj6XrwLZMwsFCqW6YWj66/fpTew6Vxn7ErOpEwCAyRp75jalKd+Ii0/r9XpXrioGBQDKpIphaO8ML4RQq9UmuDup2WxeuXKl9xLNZnPEqWTfV9hlPgoAUCzT2yZfq9X2tSZ0eA1dC0IbjUaz2ZzIiwMA5ES1zgyN4ziKor7zxfX19SiKJpKHRlHUN8dcX19fXl7eM8fcLXJQEhpCWF5erlqfL2AkdicBVM9435H3PqsrCa3VakmSSEIhK2trX2Rdwn6YhQKFUqEwtO/hR12Wl5cPmIfuGVOur68PmbOOUuSIFwIAIFu1Wm33hz0Xb3Ye0HnKiNITy+Hz2OGHL6WnoI1GI4cNnaAK2u2tc+euzs1duHz5xtzchbNnr4aHh7MuCqBsKhSGds3wkpRGo9H3YfvVNa1stVqdS7Rarc7t6+vrg+aXXV/Ip1+hq84gDwUAyLcxlm3u9ymjh6FDNh6lV4C2Wi0LQiET7fbWysr1R4+eJkkIIUqSsL39NHz6njwUYLKqEoamp3S9hx81m810zjj2/C/9nX+SJOm5ab1eT+ehfSPX9HV3zzDtmg03m80kSdK3+NIe+NW7WRcAwIvSs7shM8wRH7anIXFnWtf36+kn1mo1Z9NDVi5dunHkyMKdOw86t2xuPghvbofPFzOsaiSFmoUW7AgCYAqirnCtrNKLKAf9kUd5zBDplkeDehwNf0y6s9OQAtJb6Xv7PkVRVd5TyFz0dc5WZ7+brwObktN+F8EsGPpzbl+z0PFaeo4yCx0yz0zPLQ/SqNNHEQ5obu5C/79D86WdnfUAACAASURBVDsh/mzW1exLzmahvZLTSbu9denSjY2Nu0mSRFG0tPT2tWsfnDlzMuvSoMCKO/QXte59Sc/whvTEHGUeOcSIs9ghDxt9HjxkVl3czyIUjjB0OGEozIahP+eGf40dXowpB01B90xUhz9geA3pOXDvotEhuibVPopwEPfv/3jixD+G0Hd6mYTWv4SF57OuaXQ5m4X2+rf/+PeVlevphbeLi8f/8pftP/7x7+WhMLbiDv1FrXtf0jO84X/ezjxySGba14h5axj8tfzorzDkRUKRP4tQOLkLQ3NGGAqzYejPv/TMrVarNZvN3cSzt4H7oK/D9wxDu16qM5mM47jZbHYd5TSkvH0xC4XJKvDK0Nw7++H/fPToafoIghDC4uLxhYXf/OlP/5BVVVB0xR36K3Fm6Bi7jfb7lOHdOdNGWXDqqCYAgNJITxTX19eXl5ejKIqiqOsQ+YOcBV+v19OLOq9cudK5RDroTB9hny5p7OsCE7S09HZ4f7P71tXb4fydLMoplY2Nu11JaAhhc/PBxsbdTOoBslWJMDT9VfzwR3YesN9J4XhhaNeUt/GLPcNQc1YAgAJJkmTIRLRWqx18YUVXR9BeBzkPFJiBa9c+CN8tvJCHrt4O374WVoWhB/P40ODfscm9ez/MtBggByoRhuZWV4Ta/MXoz9oz3gUqpFB9PAGqJo7jVquVzitrtVqj0Wi1WnuuCU1Shjys2WwmSdJoNNJTxFqt1mq1kiQZlIQm4xr9zw6M4syZk+GTL8P8szC/E0IS5nfC4efh46/CGz9lXdpecj4LnX8eFnYG3BedOPH6TIsBcuClrAuYqT2/DB/7yKTRn3XwL+TTO6r2dbApAAAZqtfru99/T/Uq5odQYMeehIvtcLEdvj4eTndv62Z8578Jj18ONxfTt73zzvFXX30lq4qADJV/ZejYpy8d5Nim6V0inaXWajV7nQAAAMpGEjpZq5u9RxB8//1f19Z+n11NQGbKH4bO2PT2rcdxHEVRegnqkH6jY5hS2cDs/DnrAoCDMYIDUEj5n4Uee9J7BMGtWxeXlk5mXRmQgWqFoaNsk59FHfsUx3G9Xu/qNzrknCanPgFAERnBAWBado8giD8Lf7gV4s/Ch21JKFRWtcLQPbelz2Br/H7txqDpBaGNRsO/fAAAyBtLmIECcAQB7EcpB/dqNVCagX31Xxq+EDWO467VoCGEVquVz+WrQPbeLcIeJQDKyxf2UFFmoVBeQwb34uah5V8ZOnZ0OKXMccTFp7374lutVpIkklCgcNbWvsi6BAAAAAihCmFo2vS2yU+wb1Jvo6TdffFiUKBY2u2tc+euzs1duHz5xtzchbNnr7bbW1kXBQAAQKVVKwydnvGSyt5ndW2Nr9VqSZI0m83xKwMmLb/rHHO1O+nh4ZWV648ePU2SEEKUJGF7++nKynV5KABA2eRqFgqwl0qEoZ1lm3se6Nl5wH5XeqZjzeHLS9P39oah6SS00WjksKETVFbvOsfw8HDWReXYzVNHjizcufPr+fSbmw+OHl346KMbGRYFAABAxVUiDB1j2eZ+nzJ6GHrlypVBd6VXgLZaLQtCIT/a7a3edY7h0/fkoQPdPJVOQndtbj7Y2LibSTkAAAAQKhKGplPFIQnjiA/b05C4M63RaAx6Yq1Wc0Io5MqlSzd61zmGN7fD54sZVtXt3awL6Hh8KGy/MuC+5N69H2ZaDAAAU5WfWSjACCoRhqYNSSrTWeQYr5wONwctDk1HnF15a/op1oRC3mxs3O1d5xhuLoabp7IoJ/fmn4eFnQH3RSdOvD7TYgAAAOAXL2VdwIy0Wq3OcZz1er03rBwSU3ZEUdT5OUmSrnubzWYnTl1eXu59QBzHQ84kTZcUx/Hop4VKTmHa7t//MUmSEKI+9z1+OWwfCgvPZ15U7p3/Jjx+Odx8YeXsO+8cf/XVQStGAQAAYOqi3syurOr1ejqLbDabuwFobwP3QUHk8DC096UajcZuUhnHcbPZTLdv6n16urx96XqpKKrQewozE732n8L2b/rcMb8T4s9mXk4RPDwcPn0vvLn9ax66evv11tKtWxeXlk5mWhmUjaGfnPBRhIOLvu737TvTkZz2KwsOpLhDf1HrHk86zRxkyP+QPcPQ8OL60EFarVbvkaCj1NaXMBRmIPovf9O7zjGs3g6Hn4cP2xkVlXsPD4fPF8PNU+Hxy2H+WTh/Z+O//S9JKEycoZ+c8FGEgxOGzlI6DF1b++LSpb/NsBgoouIO/UWte2xDFmAOWRO6a5QwNOyVh/ZNQoMwFPIt+tdXe9c5hm9fCx9/Fd74KdPSiuDr4+H0g+Drd5gOQz854aMIBycMnaXkdNJub126dGNj426SJFEULS29fe3aB2fO+PIeRlLcob9yDZTiOG61WulmR7VardFotFqtPY/pTFKGPKzZbCZJ0mg00geD1mq1VquVJMmgNvHJuEb/swPjO/YkfPJlmH8W5ndCSML8Tjj8PHdJaG77eJ7u6T0FAEBp5HYWOlS7vbWycv3Ro6dJEkKIkiRsbz9dWbnebm9lXRowXUUNcRmkuME85NkL39L/ss4xd94N4c9Z1zCUlaEwDYZ+csJHEQ6uqCtDcz8L7evsh//z0aOnd+68MLFfXDy+sPCbP/3pH7KqCgqkuEN/VbrJA0xMPpNQAABgZBsbd3tjnM1NU30ov8ptk6+CaLCsSwOmqYBfyAMjMrgDlNXa2hdZl3BgRZyFPj40eEVbcu/eDzMtBpgtYWgJOWAUAErG4A5QMu321rlzV+fmLly+fGNu7sLZs1cdVTlT88/Dws6A+6ITJ16faTHAbAlDAQAAYHYGte4JDw9nXVqVnP8mvL/Zdds77xxfWvpdFtUAsyMMBSiLYvbxBAComkuXbhw5spBu3bO5+eDo0YXw+WKGVY2voLPQ1c3w3cILeejq7e+//+va2u+zqwmYBWEoAAAAzM7Gxt2uJuZht3XPzVOZ1FNRx56ET74M88/C/E4ISZjfCYef37p1cWnpZNaVAdOlmzwAADABQzp6Od8WOu7f/zFJkhD6/X15/HLYPhQWns+8qKo69iRcbIeL7fD18XD6QQhh6bQkFF5QynadwlCAsihiH08ASkTiCaN4663fRlHU/6/L/LNCJqElmIWe7l6oC+waMrgXNye1TR4AAABmZ2np7d7WPWH1djh/J4tyAKpFGAoAAACzc+3aB72te8K3r4VVYSjA1AlDAcqioH08AQAq5syZk72te8LHX4U3fsq6tLGYhQKF4sxQAAAAmK2e1j0AzIaVoQAAAJARSSjAbAlDAcqiBH08AQAoHLNQoFCEoQAAAABAJQhDAQAAAIBKEIYClIU+ngAAzJ5ZKFAowlAAAAAAoBKEoQAAAABAJQhDAcpCH08AAGbPLBQoFGFoCUWDZV0awM/W1r7IugQoEoM7AABMhDC0hJLBsi4NqLp2e+vcuatzcxcuX74xN3fh7Nmr7fZW1kVBARjcAUrAl8EAeSAMBSiL3PfxbLe3VlauP3r0NElCCFGShO3tpysr1+WhAECJlf/L4NzPQgHShKEAA/n2frIuXbpx5MjCnTsPOrdsbj44enTho49uZFgVAMD0DPoyODw8nHVpABUlDAXo1vvtvdnqRGxs3E0nobs2Nx9sbNzNpB4AgGkb9GVw+Hwxw6oAqkwYCvCCvt/eh0/fK0AemvM+no8PDT7cMLl374eZFgMAMBODvgwON09lUs9U5HwWCvAiYSjAC/p+ex/e3Pbt/UHNPw8LOwPui06ceH2mxQAwBdFgWZcG2bh//8eBXwY/fjlsH5ptOQD7VsrB/aWsCwDIl42Nu32mrDcXw/xOuNjOoKAyOf9NePxyuPlCrPzOO8dfffWVrCoCYIIG7wCAinrrrd9GUdT/b8b8s7DwfNYFAezTkMG9uHmolaEAvyr2t/f57+O5uhm+Wwjvb6Zuuf39939dW/t9djUBAEzR0tLbL0x+dq3eDufvZFHOdOR/Frp/OqlCiQlDAX61++19//t8e39wx56ET74M88/C/E4ISZjfCYef37p1cWnpZNaVAQBMxbVrH/R+GRy+fS2sligMLZHeTqrt9lbWRQETJgwFeEElvr3P0LEn4WI7xJ+FP9wK8Wfhw7YkFAAosTNnTvZ+GRw+/iq88VPWpdHj4eHeTqorK9floVAykZN9SiaKvKdwIO321t9c/vvw5vavR1vufntvzjodyWm/suBADP3khI8iDBJ9/cvGo6+Ph9PdneXJkevvnvrfK+lOqiGExcXjCwu/+dOf/iGroiC3ijv0F7VuBinuZxHyI/rXV8Pni+HmqfD45TD/LJy/E1bvSEKnRBgKB2ToJyd8FGGQX8NQcm7578L2b/rekyR/mHEtkH/FHfp1kwfosbuV+2Lbt/cAAFAJjw+F7VcG3Jfcu/fDiROvz7QeYGqcGQowWLGS0DL28QQAIO/KMQudfx4WdgbcF0lCoUyEoQAAAEDlnf+mbyfVpaXfZVAMMDXCUAAAAKDyVjfDdwsv5KGrt8O3r62t/T67moDJE4YClMWfsy4AAIAKKs0s9NiT8MmXYf5ZmN8JIQnzO+Hw8/DxV0tLJ7OuDJikojZ+YpAoGtap0NsNo9Dxc5Z0k4dRGN/Jv+K2lIVpM7cspFQnVfNV6Ku4Q79u8iVU0M8iADDIkMF9eE4KAIyjWJ1Ugf2wTR6gLMrRxxMAoBTW1r7IuoRZMQsFCkUYCgAAAJPRbm+dO3d1bu7C5cs35uYunD17NTw8nHVRAPxKGAoAAAAT0G5vraxcf/ToaZKEEKIkCdvbT8On78lDAfJDGApQFqXp4wkAUEyXLt04cmThzp1fj5vc3HwQ3twOny9mWNXUmYUChSIMBQihUoc6AQAwHRsbd9NJ6M9uLoabp7IohwnzTwYoB2EoUGm9hzq121tZFwUAQPHcv/9jkiT973v8ctg+NNtymBj/ZICSEYYC1dX3UKeVletFPdRJH08AMhUNlnVpMAtvvfXbsLDT/775Z2Hh+WzLmaFyz0IfHu77TwZ5KBVRysFdGApUV99DnY4eXSj5oU4AMB3JYFmXBrNy/pvw/mb3jau3w/k7WVTDJNw81fefDB99dCPDomBmSjm4C0OB6up7qNPm5gOHOmXFMUwAQLGtbobvFl7IQ1dvh29fC6vC0MK6earvPxk2Nu5mUg5wcMJQoKJKeKhTYft4OoYJACiJY0/CJ1+G+WdhfieEJMzvhMPPw8dfhTd+yrqyaSrsLHRvjw+F7VcG3Jfcu/fDTIsBJiQq9LpWekWR9xRGNTd3of9fl/mdEH8262qq6t/+499XVq6nNx8tLh7/y1+2//jHvz9z5mS2tUEhGPrJCR9FCCFEX6cO0fv6eDjd01mewln+u7D9m773JMkfZlwL5Epxh34rQ4HqWlp626FOmRt0cqtjmACAYpOElsOAc2CXln6XQTHAJBQ1xGWQ4gbzMHvt9tbfXP778OZ2uPlLx6TdQ50KupXp3ULuUYrO/NdBv7R82Q6jMPSXQxzHnZ/r9fq0r3LAS/R9HR9FCF0rQ6ujmLPQUT08HD59r/efDBv/fH1pyTYmKq24Q7+VoUB1nTlzsoqHOuXK40ODh0/HMAGVUK/XoyhaTomiaLJ5aLPZjKIofZXdS6QT2H3ZfZGxnw5QJAPOgZWEQnG9lHUBAJk69iRcbIeLbYc6ZWP+eVjYGXAMU3TixOuzrgdghuI4Xl5e7nvX+vp6FEWtVuvgqWgU9V+ntr6+vry8XKvV9ptpNpvNA5YEUDD+yQDlYmUoQAihFIc6FXR3Ur9jmN5557hjmIByG5KEdhx89eWgJLRjfX19v3nrlStXxi8IKKWCzkLHUIJ/MgDC0FKKBsu6NIAeq5vhu4UX8tDV299//9e1td9nVxPkjsG9fNJJaKPRSFIajUbfh+1XV8rZarU6l2i1Wp3b19fXR49cp3eeKQDAbAhDSygZLOvSAHr0O4bp1q2LjmGCNIN7yaR3mjcaja6N581mM52Hjr0tfX19vfNzkiTpHLNer6fz0D0j1ziOdw8eTb8mAEARFbXxE4MUt5kXZKJUHT9L0Mfzl2OYktN+j8GoDP1FlF7SO+jtG+UxQzSbzc5+9kFnj+75mOF7+btiXB9FCCWbW46uBLPQ/TNfheIO/VaGApAbjmECKiC9Jz29ArRL+q4xTg7tpJy1Wm3Q3vZ0lKktEhzE2toXWZdAZrz7UDjCUAAAmJ10sjkkgkzftd8wNP344ad81mq13R/sf4cxtNtb585dnZu7cPnyjbm5C2fPXg0PD2ddFDPS++6321tZFwWM5KWsC8iX0SeOE7nKAS8xqdcBSqJ6u5MAimiMZZ7TC0Pr9fqQGLRer/duf9O2C3a121srK9ePHFlIkhBClCRhe/tp+PS98MmX4diTrKubrQrOQh8eXvnP3e/+ysr1P/7x78+ccfA95J2VoT+r1+tRFC2nRFE02ZBx99T59FV2LzHGhHjX7ouM/XQAAGavEz52VmUOMvayzX2FoX2fBezp0qUbR44s3Lnz6yE/m5sPwpvb4fPFDKtiRm6e6n33jx5d+OijGxkWBYzIytBhB8Ovr69HUTToyPl9GfQV+vr6+vLycq1W2+/s07lOAABMUBzH9hvB6DY27vZpHHJzMczvhIvtDApilm6eurPdfdj95qbj76EYqr4ydHiLzF0HX32552ai9fX1/U49O4fiA/tV2jPO3826AAD2Y8/p39jR5OgrSaWfMJ77938c2EP58cth+9Bsy8la1Wahjw+F7VcG3Jfcu/fDTIsB9q/qYWg6CW00GklKuoPnnoHpEF1TzFar1blEq9Xq3L6+vj565GraCmNwxnkRlTa5Bqpq7K/YZ7CH3TZ5GN1bb/02LOz0v2/+WVh4PttymK355wPf/RCdOPH6TIsB9q/SYWh6p3mj0ejaeN5sNtN56Njb0tPfzCdJks4x6/V6Og/dM3KN43j34FHtPmG/dk+4f/ToadcZ5zp+5pPkGmAi9jyWdLKiscyyQpik89+E9ze7b1y9Hc7fyaIaZqvfu//OO8eXln6XRTVwUFUbwSsdhqZ3mvfNOtM3jrctPf0K6dyzo16vpyPXvl/Ix3Hc6bxkdzyMp+8J90ePLpTqhPvS9PF8eLhvci0PBUpmetvks5KMJeuqYVyrm+G7hRcSsdXb4dvXwmr1wtDSzEJH1+/d//77v66t/T67mmB8VRvBqxuGpmPHdBzZZc+kcrhOdlmr1QZNZ9OBqbZIMCUbG3fTSeiuzc0H4eapTOphGN05gWrYc25p3zrk2rEn4ZMvw/yzML8TQhLmd8Lh5+Hjr8IbP2VdGdPX792/devi0tLJrCsD9lbdbvLpyeWQCLLZbHYCzf122ExfYvgTa7Xa7s53+99hGn454b7fMv7dE+6d65QrunMCTMi+5paFW4gK2Tv2JFxsh4vt8PXxcNpcpWJ63v2l05JQKAYrQ6f4lNHD0D3vLdNqZJi9t9767cADTcp0wn05+njqzgmU2tiB45SSSotPYTIqnoSWYxY6toq/+1BA1Q1DO9+T73mufOcB+122OV4YakoK07C09LYT7otBd06gMqa3TX7GfZMAAAqkumFobglDYRquXfvACfeFMaA3q+6cACMabxmpbfIAQBUIQ6fYx3P0laSmnjBtZ86cLP8J96Xp4zmgN6vunEA5jL7raPSdTF1G33U0+k4mgIFKMwsFqqGiYejYqy9nsGzTylCYlt0zzuPPwh9uhfiz8GG7VElomQzozao7J1AOY2SO+33K6GFop1MoABO0tvZF1iUAA1U0DJ2xGR/bFI1llhVCxpxxnn+SayrJCF4RzWaz78/jPWxPI8adjUZj7EsAsKvd3jp37urc3IXLl2/MzV04e/Zqu72VdVFAN2HoFLfJZ6W39fwosq4aOLBS9vGUXFMlRvAKGpJUdu4a72v1dLg5aHFoepZ7kLwVKsWKvz5KOQvdv3Z7a2Xl+qNHT5MkhBAlSdjefrqycl0eCnkjDJ1iH08AAOjVarU6P/f93n2UmHL4AuH0s5aXl3sfEMfx2GeSQgX1rvgLDw9nXRT5cunSjSNHFu7c+fW7/M3NB0ePLnz00Y0MqwJ6CUNnYfROSqGAC1EBANiXer2ebqNUr9c7377HcRxFUTqmHHtymI5coyjqxKNxHNfr9XRC6rt/GK7vir/w6XvyUNI2Nu6mk9Bdm5sPNjbuZlIPMEhFw9Cx55RTSipNQIEJ0McToDjS07/19fXl5eXdNZ5dqzgPMkus1+vpzfJXrlzpXCL9VX06MwX66rviL7y5HT5fzLCqHDELDSE8PjT47Jrk3r0fZloMMFRFw9C06W2Tt+EIAIBBkiQZMl2s1WoHPxO22WwO74zUarVsS4I99V3xF24uhpunsiiHXJp/HhZ2BtwXnTjx+kyLAYYShk7ReDNL81GYLIfcl4/3FCiNOI5brVY6r6zVao1Go9Vq7fl9/Ih9tJrNZpIkjUYjHbzWarVWq5UkyRgzz85F9VyiIu7f/3Hg37LHL4ftQ7Mthxw7/014f7PrtnfeOb609LssqgEGiirbhLRer3f2Bw3/n9A5k75Wq+1rlWgcx52NTsO/dW82m52GoSO+I52qGo1GeiYaRdV9TyGt3d66dOnGxsbdJEmiKFpaenvjn/5HOPYk67qm6d2S71H6t//496739Nq1D86cOZl1XZAxQz854aNIic3NXej/6Z7fCfFns64mh8o+Cx3Vw8Ph0/fCm9vh5i/nJ6zefr21dOvWxaUlU1ZKqLhDf3VXho7xNfh+n5J+/PAUtZOEAhPhkPsSeni49z1dWbnebm9lXRkAUHJLS2/3rvgLq7fD+TtZlENeHXsSPvkyzD8L8zshJGF+Jxx+LgmFHKpuGJpeTTlkj8+ID9vTiHHn8EOdgBE55L6Ebp7qfU+PHl346KMbGRYFAFTBtWsfhO8WXshDV2+Hb18Lq8JQXnTsSbjYDvFn4Q+3QvxZ+LAtCYUcqm4YmjYkqezcNV43pHS4OWhxaHoBqaOXYCIqesh9uXcn3TzV+55ubj7Y2LibSTkAQHWcOXOyd8Vf+Pir8MZPWZeWD+WehY7ndM8/RoDcqHQY2mq1Oj/33QI/SkwZpfTem35W5/zQtDiOO0eX6j4PE+GQ+xJ6fChsvzLgvuTevR9mWgwAA0SDZV0aHFjPij9JKFAFpRzcKx2G1uv1Tv64vr5er9c7izfjOI6iKB1Tjt3kPR25RlHUiUfjOK7X6+mEdF/dmYBB3nrrt2Fhp/9988/CwvPZlsMkzD8f+J6G6MSJ12daDAADJINlXRqMY23tiz63WvEH/3979xt0R3UfeP7XQpKReOQIYxAii4Q0awN6sFNjI2SRrO59Cq8rlWcmsx5GdmorNROPC8upgHHtC2zHBfc+OCTEL2YiKlQtnkqCav7UFKjGu1ns3dkVde8lTpB5cMWT6BFoEiOQAQHin/JIAv2j90Wjpp/u031P/z/nnu/nDaKfvvee07f7nN/99elz4JKJ7NydTobK0vzjaDSamZkJ0tuxUZxl0pTdbjf6sPzc3Fz4EWGyVZbmTAGUdeszLk5yf2PbBahVyne6bds1LRQGAABMrvn5526++f5ly3Z9/euPLFu2a/v2+1mwcYzJjkKro06vA2ic68lQEfF9P+P59E6nUz7b3e/3s1dGGgwGhUeeAlDYucAk95Mm5TvdvfuLwf8RXAIAgPLm55+bnX3w+PF3fV9EPN+XxcV3Z2cflFdXt1002Ir0OmAakqEiIsPhcDAYRPOVnU6n1+sNBoOxY0I1Rwj3+33f93u9XjTx2ul0BoOB7/sFMqHhh7LmEqCw7hST3E+alO902TIhuAQAAFW5885HLr98TXTZxoWFo1dcsUYenW6xVLBXWnqdkBVokWf1Q/5I8jy+U0C8n0Tmcv7JeqZ2mjThd/rq6st/66vRXyzT0+tfe23xBz/4na1bN7dZQqBBdP0wBKciJsOyZbvUJ/LUaRnuabo0sN/2O/7g+PF3o+l1EZmeXr9mzcVPPvnNtkoFVMLerp+RoQAmHZnQyRN+p3u3KMdufO1rj7RTMAAAYLMjR95I/WF/YqUsrmi2OJgE+/cfjmVCRWRh4ej+/YdbKQ8AEVnedgFQPc/z0v5kac4eANT2bjm4qAguWykLUKuMzh0AUJUNGy7zPC9lZOgZWXO26QLBdidW+L4vouzE/RdeeH3jxo82XSQAjAydSH66tosG1Mv1JXRcW8fzxApZ/FDK3/wXXni90cIANaNzB4BahWHktm2blizYGNh5QG5lHc50rkWh+qbOyprTKX/zyIQCbSEZCsB6yfUZWe7TCQSXAACgnGQYuWvXr8jLa5bkQ3cekJc+LDtJhqKQW59JptdvuGH9tm3XCIM5gJaQDAVgN+X6jHLfDvKhTsgMLgEAADIow8i77vq+7JqXqTMydVrEl6nTsvqs/O5fyJUn2y4v7LRzIZlef/HFt06ePB3NwrO4PNAkkqEA7HbnnY8kl9CRqxbl0ekWS9WOp9suQPNUweUrr/zD7t1fbK9MAADADsow8oor1shgs9w+L8M98tBjMtwjd8yTCR3DwShU37pT8u0nlqTXfV/Ee+89iWbhZ2cfJB8KNMZjqqkJ43l8p3DLsmW7Uia5Py3DPU2XBs17dbU8Oi17t8iJlTJ1Rm49uP+3//O2bZvbLhbQHLp+GIJTEdYhjETTfrJePn1UHrxxy49nY0vMT0+vX7Pm4ief/GZbRQMKsLfrZzV5ABY7cuSN1PUZT6yUxRUs+jn51p2S2+fl9vn3g0uRbZ8mEwoAAMYgjEQLPn1URGTvloOLR2N/WViIbwFQHx6TB2ClYK7xDRsuS11CZ+qMcyGs4+t4floRQTInPQAAUNqw4TLPU2VCxckwsiTHo9BcTqyQxQ+l/M1/4YXXGy0M4CqSoQBsolg4/lf/PrmEjuw8ILeyRh+DpQAAIABJREFU4qe7kucJczABAICYbds2EUaiaVNnUwdziLdx40cbLQzgKpKhAKyhXjj+ubXy/NrYEjry0odlJ1Gso5TnCXPSAwCAmAce+EJyJUbCSNTu1meUWfht265poTCAk0iGArCGeuH4Tcdl05tL1mdcfVZ+9y9cXPSTdTxFJH1l2K997ZEWSwUAAEyzdevm+DLfzoaRJRGF5rJzQZmF3737i+2VCXCLrQs/IY29i3kBY41f8fPCEjpwmbf1K2mtoO8/1GxZgCbQ9cMQnIqwkfeTC9OGEkaiSa+ulkenZe8WObFSps7IrQdl50F/9kTbxQLysbfrZ2QoADtcWPFTJVjxU9RL6MAtJ1ak98fMSQ8AAESUSywSRqJJ607J7fMy3CMPPSbDPXLHPOORgSaRDAVgB1b8HI91PIU56QGgTV66tosGiCiX4nx1dduFmghEoYWpsvCKZD3Qnons3EmGArAGK35Ci2pO+htuWM+c9ABQNz9d20UDUpbivG8H+VAYIpmsZ/1PmGAiO3eSoQCswYqf0KKak/6VV/6BOekBAHCZeinOqxbl0ekWSwW879XVyWT97OyD5EOBOpAMBWANVvwcg3U8A+tOJc+Txx67fdu2zcHfefIIAAAH7d9/OJoJfd/eadm7pY3iTBai0PL2bkkm66+4Ys3XvvZIi4UCJpWtCz8hjb2LeQFpdu/ed+ednw3+zYqfyOfCeeJ/2p+ff+7OOx/Zv/+w7/ue523btumBB76wdevmtosIlEXXD0NwKsJkR468sXHjt0SUM9z5MniYCejRspl/KYsXK//i+w81XBZAk71dPyNDJ9BEzm4LB42ZNIdMKHRcOE+U04Tx5BEsQucOAMUET4Rs2HBZ6hKLLMWJ1p1YIYsfSvmb/8ILrzdaGMABJEMn0ETObgvXpKWumOE+C+t4plNOE8aTR7AInTsA5KJYOP5X/56lOOtCFFrS1NnUZL14Gzd+VJjoCagUyVAAJkpLXTHDPYpRThO2sHB0//7DrZQHAADUR71w/HNr5fm1LMUJQ936jDJZPz19JUvMA5UjGQrARGmpK2a4RxEnVqSPnvNfeOF17rQDADBJ1AvHbzoum95kKU4YaueCvLwmnqx/bu1LLx1noiegcrbOdYo09s5fC4SY4R7VU89J78uFZpMllWAvun4YglMRrQtX3Vy2bJf6ZJw6LcM9IizFCSO9uloenZa9W+TESpk6I7celFMrtiz8z7ExItPT69esufjJJ7/ZVjGBkL1dv63lRhp7z0VAcoWwQC5/vFVOrJS90WkW/IsuWrZy5UXvvHMu+P/p6fWvvbb4gx/8DvlQ2IWuH4bgVERb5uefu/POR/bvPxzc3fylX/rFn/70RW6rw2Jhsp4l5mE2e7t+HpMH0L7kDPfT0+uZ4R5VSj55dN0xEQkzocKSSgAAWCg5PejZs+/JRe+p92bheFghyISyxDxQG5KhAFqmnOH+xRffYob73FjHM8O6U/LtJ5ZME/bcR86fj9/GZEklAADsop4e9H98U649Ft+V2+r1IQqtA0vMA7UhGQqgZcoQ9hd/8VJmuEfF1p2S2+dluEceekwe+09y5qKU/d6/005wCQCA+ZSrbsqhj8rff4Tb6rAeS8wD9bD18X6ksXfKBjiLGe4rc6PI022XwSKpczD527dvDucdY1UlmI+uH4bgVETzMlfdfE/+17+VP7/ug7Vodh7ktnpdiEJr8upquW+HXLX4wcT3Ow/Ic2vX/uxjV121NrwNwMT3aIu9XT8jQwG0ZvfufUeOvJHaep5YKYsrRIRMqC5i0FyUd9pnn12+fFls0obZ2Qe52Q4AgIE2bLjM85SZUJGps/K//fj9J0KGe+SOeTKhNSIKrUlyoqfVZ2Xz29FMqDDxPZCfrUlcpLE3MY/JFi4TL4kVP33fV9/PZ+F41Ep5p/2vrt60ctPhw29Gd5yeXr9mzcVPPvnNFgoJaKDrhyE4FdGK7dvv3/8/PPZBbx7YeUBWn5U75lsqFFADlpiHeezt+hkZCqBGyWXiH374R7HlklatWiFXLsZfyQz3qJvyTvvbF8cyocKqSgAAmCec2vuBB74gL69helBMPu0l5pn4HhjL1iQu0tibmMfkCZaJjy6OND29/tChV66++tKl+SZfrjwhv/CuHLr8/Q1BCMtySXkxW1NhwZ32Eyuk+1sp8475zz//+8GqnYBp6PphCE5FNCD2gFEwtfdNxz4hj07L3i1MD9oaotAmMfE9jGFv129ruZHG3nMRk+fmm+8/fvzdxPqeyofifVlxXj50nhC2FMLQ8njsCBai64chOBVRN+WN9tdeWzz28P8u606JsOpme4hCm/THW+XEytjUEJs3X3bkyJsf//iVrKqEJtnb9fOYPIC67N9/WJUJVfLk7EXyf/0nZrhHy5SrKu08sG3bNcE/eewIADJ46douGibBnXc+Es2EyoV1Y+TRC1khMqFwwc6F5NQQR468efXVl7KqEuowkZ07yVAAFQuyRSnLxKc3l1NnZM1ZQthSuCFfniq4lJc+vGvX/xSb/Zb15QEgyU/XdtEwCVQ32mVh4ajs3dJKefABotAmqSa+P3fOZ+J71GQiO3eSoQCqEVsr6Ytf/HcydUa96/Jz8S0slwRDKFdV+srT3/jG96Orfi0uvjs7+yD5UAAAGpNyo11ERE6slMUVzRYHaNW6U3L7vAz3vP9c3Zd+mv4E3vurKgGIIhkKoALBFE6xbJH8wrvya4fiu84eknUnWfET5ooFl3fMy+ga5UN5PHYEAEADgqeONmy4LPWRzOABI8BBwXN1U2dlzemUPTyWAAWSSIZOoImc0AGGU07hJL/0ivy3K+N5z7dWy32Px0fesXB8JW5suwATJpy0Ye8W5UN5PHaEJtG5A3BN7Kmj7dvvn55er5zamweM2kcU2jrVxPc33LCeie8BJZKhE2giJ3SA4ZRTOMkPr5W3LlbkPW94PT7yjkwojHVihSx+KOVv7z92pAwuiThRLTp3AC4Ie0/lU0cvvviWPL+WB4wABdXE96+88g9MfA8oecTQE8bz+E7RtCNH3ti48VspiyP5MnhY1pyVn6xncaTa3cjs9fWY+ZeyeLHqD/727Zv37z/s+77nedu2bXrggS+IyJ13PhLbuHXr5oaLDKfQ9cMQnIoobH7+uVjvefLku+fPS+xe+/T0+oUt/69cck72bpETK2XqjNx6UHYe5LZ6+4hCTfDqanl0Onp1/Gnn33zjG9+PPsA3Pb3+tdcWf/CD39m6dfPu3fvuvPOz7RYZtrO367e13Ehj77kIqy1btkt93k2dluGepksDVOuPt8qJlbJ3esnG2WeX/9frP/7xK6PB5UsvvSXiXXXVWmXE2XCp4Q66fhiCUxHFBINAY/mahYWX1Tfaw9iSG+1AmgtXx/Y7/uD48XdjNxU2bfrIsWMnTp48w517lGdv189j8gCKCx9l2rZtE1M4YWKpHjuSn66/+upLY/Pknj597vTpsyy1BACAjiCSVE09/3Lqa8KF48mEAmkuXB2qqcz8w4ffOHHidHQCitnZB8Nn55noCY6wNYmLNPYm5mG46GMUyUeZdu36lS/9u/vkqsUPRs8FUzixMhImQ+KxI9m7RU4m5xL1U+aLEN9/qO4ywll0/TAEpyI0xSJJ31f2nildKk8dAZpOrJDubyWuo6CVXrJxenq95/lr1qxioifkZW/Xz8hQAFmS63g+/PCPkvPZ33XX92XXPGvEt4x1POuz7tSSVb++9FM5uTKxU0YckLXUEgAA7kisjJTVe8Y38NSRsYhCDTR1VtacVv0hfpthYeHlAweOxn7fRYeLApPH1iQu0tibmIeBlFM4HTr0ytVXX3r48JvRPaen1y9s/aHcPi/CFE7tYer6JqlXVUobGapYaomb7agKXT8MwakIHTfffH9iEsOUkaEXvSeff5anjuxAFGqm+MT3imGhadunp9evWXPxk09+s9YCwnb2dv2MDAUQFw5eU03hdPTcufdimdBgu+zd8v7/kAmFC259RjFP7nXH5NpjsW2bN1+2fPmytJvtjBUFADhFNYmhqAaBLsjnD/LUEVBKfOJ7T1acT9k1OVz06P79h+srGtAuW5O4SGNvYh6tS84Equr/0m4niogvg4dlzdl6SwkY4tXVct+O+Dy5z60Vz5Nr3o5uXP79TyQHU2ev4xmdohcYi64fhuBURIagazty5I2NG7+VMomhfLA9NgiUp46AwmIT31/zlmw4Lj+8NrJH1u+755///Y0bP0poijT2dv22lhtp7D0X0Zagb0s+Ef+xj13+d3/3GvPZA6mSqyrtPCieH9+45x8nXhn/1Tc9vf611xa/+93Pf+97P+JpeuRF1w9DcCoiSXGv/cCzckK1AuGK8/Kh80u6VAaBAhUKbioob+f/l+vl/EWq1zDRE8awt+u3tdxIY++5iAZkrAh/ySUrL798KvH8e8oUTsvPy7nlS7btPCCrz8od83UVHTCZcsRKsFF7Hc9Nmz7y85+//fGPr4tO0fvaa4s/+MHvEHQiG10/DMGpiBjl7PMLbz8rv/TK0oFpkUiSQaBA3ZK380+tEN+LTC0qIiKzzy7/r9d//ONXpoWmDBeF2Nz121pupLH3XER9kvfkd+36lbvu+v7S+UC1856zz8pP18v2F5nP3jhMXW8mxVJLKZebSN6p6wlDIXT9MAanIgJh36RaK0nk1w7Jf7uSSHLSEIXaKLz3oBwu+ldXb1q5Kblqruf5a9asShsuSmjqGnu7fhZQAqynXIAl3Bjck48t3nLbbf9hamrl0kxoinMXyT975oP/3XlA3lot9z3OfPaArvhSSxnhQtbU9dErfX7+uZtvvn/Zsl1f//ojy5bt2r79/mA5JgAAmpTdNz35pGqtpB9eK29dTCQJtC8chb3ulHz7ifhV+fbFqlVzXz5w4GhyXdCHH/4RoSnsYmsSF2nsTcxXxZ0jkBzv+cADX7jppk9s3353dOPJk++ePy+JSDQ5MC1lJtDVp+ULB+OzIobRKo8yGYV78mZK3mxfcU7OLh1wnTV1/Xuf+tTGv/7rn2eM7J6eXr+w8OOnnnrQ2aeW3Gn5lRyvPszBqTjZRyBjtqWgb/rSl35vy5bPaMw+Lx+sukkkOTGIQidG1kRPkhKyHlq+/Hpn53qa7JZ/LHurb2u5kcbec7EqjhwB5RxML7301ttv//2WLVuXpkhe1pmvUL0xOhMo0SpQ2Ph1PJUZUgkuzC1brope1IcOvZJcnl5k4YYbbsl4ammyOdLyp3G8+jAHp+JEHgGd2ZaCvuncuWdFdLo2Vt0EbKCY6EkKzPU08TfpJ7Ll12dv9W0tN9LYey5WZbKPQPYcTKtWLX/nnaMil0e2pQ03U44MlSUzhDJ/E1C5jHU8/+pqxYIS17226oWr3nnn3NJ3SQ1DY2lT7sk7wvHqwxyepxwD+D4XzlJLL0ZlqiLYqLz7nnJPjlU3gcnyx1vlxMqlqyrp/7R8f+egVZzsqUUtbflzmcj+ffK/Nte4cClms/QIZPcHyXvy4TSCS6X1Q9orI72wVp6/VP1EPIAKJdfxnDks37sxniH9L9fL+YuWvjIjDI1vz15/iTB0YjhefZiDU9GuI6CccElEohsvuWTl5ZdPaeQ9M/umf/as/J/Xv7+Be+2ALZQ373VD07AlfH97cJP+u9/9/Pe+96MJe4zJrpa/cvZWnwWUJpCXru2iIS57FZRgTvrkCkhvvHFCtQZLRhuU+NPsIVl3csmiLsHKSPc/LsM98tBjMtwjd8wTp1rmxrYLAH3rTsnt80sutxtej09dv/y8nE920xkteer6S/qLLykXZIMJ6NwBlJe9wObnPrf7c597ILrxxInTqkxoUlpD5MnqM3Lpu6yVNPmIQiePclWlfx5bF1REPFlxPuUtPmgZFhaOTk2tvO22/5hcfCkMRLOXBQaqZWsSF2nsTcxXxfwjEI7GUj55lLxjpn1PPn3jRe/J559dck/vpQ/LV56W4abUlZFgI6aunxjhFL1pszXFR3aPHS6aNdFbsRv1Rg0sNb/lr5Xj1Yc5OBWNPQLJQaDKBTZXrVouIpG5WXI+Epv9RDyzz082otDJFl6/unM95Zha1PP85Kz3snSUusljSI1t+Zthb/VtLTfS2HsuVsWoI5C97KYyDN206SM///nb0cX4ckSc170mvieHLl+ycecB8X2ZOseK8JOPMHTyKGZrEpl9Vn66Xra/qPfUkkQfUFJO9JZsdmLzjWY3ZSbEpka1/M1zvPowB6eiUUcg++67aoFNSXn+XXu2pWTfxBPx7iAKdcf4uZ5yTy0am/X+pZfeEvGuumqtFVPhG9XyN8/e6ttabqSx91ysSuVHoMDoJ81lN9PDUIlszzMH03NrxfPkmrdTw1DynoBdlLfflSO7T60Q34tNcr9y5fIzZ2IPLpW6UZ82sDSITTOW4ChxCLQ43vc5Xn2Yg1OxrSOQ/+57xhx/GhvT8p48dQQ4JfrTMpYhPXORnFl6vyTPrPeJUeoiS6fC5/kkc9hbfVvL7Y7HH388/Pctt9wydn97z8WqVHUEskc/Jdvf7NvvqtFYudZ5V83EtPq0fOFgPOL0/PidOsJQwGrJ2+/Kkd3JtOmKc3JWPwzVulGfNrD02LETJ0+eafHhJsf7Pserj/oQhebVzBGIxpzl7r5rRqGyZByoTt6Tu++As4LLX/lskyI0lTyTv4mIv337ZmV4WfKWfJnsquN9n73Vt7XcLuh0Ok888URs444dO0ajUcar7D0Xq5I8AvotY97ZPIOgM7ZF+fB7vohTZ+PYOZgIQ4EJM/aijqZNLzkjJ1eWaHbStqe9/IM9dR5uKtAsZ3O873O8+qgDUWgxZY7A2DYwlvqcnr7yxRePx1ranHffE9uVEy7NPisvrJXnLyXvCUBXjqlFJVdo+rGPXfF3f3cs+P8g5rz66ksPHDiqf0u+8tmfHO/77K2+reWebI8//vhnP5v122/fvn1p9+ftPRer4nnrff+opDRtomoZkxs1Z/PctOkjzz//5jXXfCQMOlNuv+cJQ9MGcyXvyTMHE2KYrQmB4Kep7uJL+jfqdQPWtIeb9CfIV27MSKSGLX+UUY9Q1YquHxUiCi2jwC15zXg1OeRz1arlZ86cP38+dsDLLbCZPeESeU9kIApFzPipRdNmvRftaZ38iy5atnLlRWHMmXFLXjmqKWP2J/2KOt732Vv9ZW0XAHFjY1AR+exnPxt9cKkkz1MOQdd9ye7d+wp/ivK14caxnxLdOD//3M03379s2S6Rf7ps2a5PfKL3uc89cPz4u74vIp7vy+Liu5/73G7lxptuuiO28W//9uXE0E45fPiNc+fOR7cfPvzGihUXRW+/Lyy8rKy9aqOIiFz0nvyLhQ/+d+cBueKk/Nqh+MtnD8l1r8vUaRFfpk7L6rNkQgGkCn6s3vrMkuYlMHtI1p3UaHaUMU1aUxbf/s47Z2OZUBFZWHj5wIGjOs3yTTfdoWyrP/nJ/rJlu77+9UeWLdu1ffv98/PPxVr+2MbonmExinUxF16yXme3pS8p1cMCDWs+Co0pef6Xf7lmWCup1/6VwX+UDVFy48MP/2h29kGdhvG22/7D1NTKaBT6zjtnVZnQNIk/7VyQzx+UqTNLwsu5kcwN4hvDmJNMKAB9607J7fMy3CMPPSbDPXLHvNzwunz7iXgL889V8ep1x+TaY6o3jTfy58+/F405FxaOnj597vTps9HWcmHh6NTUyttu+49j29WFhaNXXLHma197JPjfZDuf3fJr7Kmwe/e+1vu+Mi+3l61J3AkWPRfvvvvue++9N/zfe+655zvf+U74v8rvrkBiXv8l4X1sz/OeeupnuabUjH6K5j3w/fu/89RTf1vh3XLlYKVVq5a/885RkegDQSVn89RedlO5zrvyjhn35KGDe/KI0l98KdeN+iVNWe6Hm3TGkIocW7Vq/dKNunf+9YcD5OpiYq/VfwJrbA+b3V1qsveePEzTfBRa7TukvXzsOPEgNH3yyWdEPlTgmUpZ2iAoH2BXtk7KiZhTGsZYeJlzDujkINCxC2wScyIXolDkkjHrvXKU+v9yUP6P60v9GBfRXZkjMTOpfiio3Di2NxE5/ZnPXK+5QklSTV1nMy9vESNDzXLPPfeE/47FoCJy77333n333cqdlTSHuoy9lZG8jy1yWfI+9uzsgw8//KP08Tgf3CrXvAcu0tUc3al3t1w9WOmdd84uzYRKWpuosSX9T8rRWC99WH7rb7TumHFPHjqIQRG17pS6Mbnh9eI36uNNmScrzsf3yRgLrzeGVOSjyY2ad/71hwNodjGvvnr8X//rf//KK8fH9kTKTlBkdViS7I412V1G6Y8vAAqrNgotQzuCHbNRc5x4GJqKXJx9RWsO5PzZz15fXHxXp3U6d+69WCZU1A1jMuZMb2mXJxpV5SDQ6DNGyvCSmBO5EIUil7CFUcaryVHqv3BaLjmz9C2UP8YzfqGnzXqveIfXXz9RIBTUjw9jvYnIxRl76nRkUWU2OhVw2prEnVTRG/JpX032PmljNqXoUJeUVSmf3bRpU3JB4diUmsopjZXTcWoPDipzt7zsCKaU2Ty1b79nL7upxD15AJXQb0yyb9Qnm7Jr3pINx5fOha9cgqNks5zrzr/mcADNLsZfuXL5mTPnx+2m7gQXFn78Z3/2bZ05qsqsAGDvPXkYpZIoNNyouSRabJjMTTd90fM+VWzojYhEX64cnqkcJ645U3yegZxVL5up//LZZ+Wn62X7i/kGgQKACbJHqStWqC/T2Ga8PLazbiioHx8qexPNFUqSHZnv//VTT/1nydNdRjf6/l//2Z/9m2RqKGOYqkxEFGpruSdSdJ6m5A35UPQxpeQc9p53yeWXfzX5Eyv2YI7yutJ/fkfknIhytQ0ZO6Wxan0hKfdDt55fzsmEpnL9u3/0pvzssiUvVT78zrKbAKyTnPk+2ZRpPtyUe4L8yu9vleliyqRcDy1ffr1GBFxqBYD9+7/j+8wijVIqikKL35IPbhIcO/ZjkffbjVyzYQQb33776fDlyhmTUm5apIWmUqhBqK11ik+45MuVi/ILpz+481T47jsAmC8Zc173mry9Sl5Zs2Q3xS359MVCkxPZlQ0FS/YmsT0VedhkRyaysHbtp3N1l9GNIoc879qxKdeMuQ0tjUJJhhokGl9mfy/hbflktOp5W7dsmdUYd6l7f6PcrRXF9ax6bR0/dFV7KltG5UbN2Txnn5W/3CA3//yDDCm339EiZmtCTbKbMmXO1PPjG0+tEN9bej9fv1mu44aZzsZKkhrKdxj/nrnGnz711IO5Vj4FYiqKQovfktefPVN7o+5PzcSWtJfXM5g9+VNc2TAqh3w+t1Y2vy3/98e4+472EYWiAbGY81f/uzz/kfjdd+UtecWoJlW7qpiZtKlMReqexWfh1+8udVKuadlVe6NQkqEG6XQ6TzzxRPBvzTB0x44do9Fo6Z/+lcjFiVcUvr9RPkCsdoRO+kadu+XKllG5MS2hmfzNP3OY2+8wBWEo2pX9cJP+GNLkRv07/7mGA1Q5MrTJ7jL58oXPfOafPPnkNxM7A7oqikKL35KvOj4sORKzhpfnSnEqQ9OMIZ/kPdE6olA0KRpe6tyST45qSmtX926Rkx9a+mGV35LX3LOOB57SPrp4ytXeKJRkqEEygsuYtID1yJE3Nm78VkNDXZL3seO/NjPeMLFd/zdtybvlyZYxbWPe2TwJQ9E6wlAYTjNgTW7Uv/OvPxxAf1BqcjoU3ZSrZsdavlMWEfH9h5TbAR3lo1ApdUu+jieHcv0oTWzXf6ZS2W5o3pJPS3Fmh6bEnDAQUSjalX1LXvRmf5KUmUk1Q8GST+hrrVBSeXdZPuUqYmcUSjLUINWEoR/+V7JY4chQUV+oyuSjckpN5Rsmp+PU/01b1d1y/Y0AgGoVaJYLJ1LThgNodjHK6VD0U666EXDJ8QUi4j///O9v3PhR1Z+A8dq+JS/1DHVJfFDaJak1U3yegZz6t+SzU5yEpgBQrbGzP8WeZNIPBcs8oa+/QkmpB56UG8ukXN//k41R6LK2CwCFTqdTfIdbn5F/sRDfeN0xufZYfOM/ekNrt9lDsu7kkvfceUDeWi33PS5TZ2TqtIgvU6dl9Vm573F5e9WSPa87Jlcuxt9w54J8/mD8tXMjmRsU3/i7fyE3vC63z8twjzz0mAz3yB3zHwSXysZOfyMAoFoFmuV1pxSNvObGG16Xbz9RsIv56DvyR/+PXHFq/GuTneDOA3LFSfm1Q/FKJTtWZXep6JQ9WXE+vtuFP1kXg8JMhaPQDRsukzWnE5uTv5rUg0pERJafi29Rhqb6G69cXLIx7ZJUhqbKK1oZAKc1Jt/4K60mK0RoCgANyG5X152KB436oaB+fKiZTpk9JG+sWtJtpXVkJbvLeGpIGXCmd992RqGMDDWF5iKegYylPL0fXqI1KZv+/Y2xq1JmDD5XPtg4dn0hBnICAGpSposp8ASW5hxVJVcAkAPbtv2T/fu/letIAKHKotAv3ZR4ulB79olcgy71N8aGZ6ZdkpozxTOQEwDcUSAUVG7U7010Vigp88CTfmpIf44pa6NQkqGmqCwM9TyR1SLTIltEVoqcETkoclDET2w8LLJJY7eDIuFd6/UimhFeuKeyMKwvBACYYNHuMrsfzO4ulX33jSKLImG+6YDIh/fvf3DbNvvW8YQhqotCLxHZkTg/14p4Im9HNj4rskHk5yLXRnb7sMjT2qGp/sbgWtO/JJX0A2AAANIUSKcot2gGjfobk6khZcCZ7NBtjkJ9mGHfvn3hl7Jv375Kdv63//b/09mouVtJlb8hAAAW0ewHx3bKTz31s8985g9EviJym8hXtm37/f37f1ZZKeGkCqNQ5fmZ3Pinf/oXGaexfmhaJoglNAUAWK3y7nJswDlJUSgjQ01R1T15AACU6PPYAAAgAElEQVTggj/6o31f//pn2y4FJkEdUajy/Exu5DQGAMBkmh26dVhACQAAwD62x6CYbMrzM7mR0xgAAJNpdujWIRlqisKjOxkWCgAAgMKIQgEAgFNIhppoNBqV3AEAAADIiygUAABMPJKhAAAAAAAAAJxAMtQgO3bsCP7xxBNPZO8Z7hC+BAAAACiGKBQAALiDZKhBOp1OAy8BAAAAoohCAQCAO0iGGuTee+8N/33PPfek7Rb9U/QlAAAAQAFEoQAAwB2e7/ttlwEf8Dwv/HfaVxPus2PHDuawBwAAQHlEoQAAwBGMDDXLvn37wn8rHz6Kbsy4bw8AAADoIwoFAACOIBlqlltuuSU6gX2n03n88ceD/3388cc9z4tOWn/LLbe0U0oAAABMFqJQAADgCB6TN1H0MaU0fHEAAACoFlEoAACYeCRDDdXpdMLb7zEVTtI0HA6Df3S7XWPfrao3zP6UYh8RLWThNxn7zsZWX+ovpy3Hodr3KfPRrXx6YQ5+v7ZUub5yWnEEamrbrah7re8GW9gShTreUlX4JmnvWe3bpn2KaY2VLdU3J/YzpyRjOf7l2lL9mt7Nouq73LA32p74MEw4H9O+ffvuvvvu8JvasWPH3XffvW/fvvIf0ev1kmdCp9MZDAZl3jZ8q5LvkzZNVZn3jCl5BAaDgbKQlZTT/OqnvUMl337IiuMQE7xDr9ersJBjNXCg6uDg92tFlWu9tM0/AvW17ebXPU2FJwCsYEUUmtZSVXJN2XK1ph2EiQ/C01RyBKyofgNBuD6LolDHv1wrqq9UyRGwpfouN+y19uxpSIYaZDAYKM+Aqi6DQPZHFD7botdY4XJacQTSfipHFUuXWFH9sYUMlCmhFcchKWzBG0uGNnOgKufg92tFlWu9tK04AjW17VbUPU0lPTtsYcW5qtNSFe6FrTgCOuUsdsnbUn2l8o2VFdVvIAjXZ1EU6viXa0X10zhyaeuUc4Ib9lp79jElr+NNUYBmC1jVrZUy52tSLJFfU1NlwhEYu7hqKO8Va0X1NQsZKFZCK45D9ns2kwxt5kBVzsHv14oq13ppW3EEamrbrah7mkp6dtjCinNVv6Wq476FCUdAv5x5L3lbqq9UvrGyovoNBOH6LIpCHf9yrah+Gkcubf1yTmTDXmvPPr7wlb8jisn4pmMNQeGPiP2ui573sbMw1yWRPIOLXVHmH4HYPskLMvb+ucpmfvVjhUyOe08Obi9QSCuOQ/Z7NpMMbeBA1cHB79eKKkf3qfzSNv8I1Ne2m1/3NFX17LCFFedqdJ9kS1UmBvMtOQJ+4iBklDPXNWtL9ZMqaaysqH7sq68jCNfXwBGriuNfrhXVV3Ln0vbdbthjda+2Zx+r/RYK/tLTUflLe+wOOrLPpNj5WuxtC1ylASuOgM5A/WJJEyuqHy1Dxu2dMmeCFcchtnMyQGkgGdrMgaqcg9+vFVWu9dK24gjU1LZbUXedt837pcM6VpyrOi2VZmuW/UJjj4Cv0RAVu+Rtqf7Ytw1MZPDZQBCuz6Io1PEv14rq67xtsVPaluq73LDX2rPrIBlqBJ3zu8A1EBU9jdKaEp19YpRPEZa8b1Nmnwzlj4DmdVignFZUP/pdZ3xQtNUr/CSyycfBHzeev4Gwr4EDVQcHv18rqlzrpW3FEdCsV95yWlF3pap6dtjCinNVs6UqVk4rjoCv11gVuORtqX5SJY2VFdVvIAjX18ARq4rjX64V1Vdy59L23W7Ya+3ZdZjyI9ll0aYt42d2gWsgSucy099NWfLCxbPiCEQLmf3peS9XK6qv/w5+0QbLluPgt50MbeZAVc7B79eWKmu+gz+hjVtNbbsVddcpeZniwQq2nKuaF6DmL6soW45AtAAZ76BZnbz7t179sSUvVjxbqq9/ZCQibzl1WBSFOv7l2lL9sSUvVjxbqu94w655Shfo2TWRDG2f5jXgR06XvNkW/esn16kWfU/935NJVhwB/ULmvVytqH6uJrhYg2XFcUi+T1LdydAGDlQdHPx+rahyrZe2FUegprbdirqPLU+Znh22sOVcDbdn/+jSr06Bl7R7BGr6NWhL9bPLU7ixsqL6DQTh+iyKQh3/cq2o/tjyTPalnf2nMmypfri98p5d0zJB24bDYd0vie7f7XYz9sz+a5TnecE/Op1Ov9/PVZ4YS49AVayrfk2HyKLj0O12k41prpKU0cCBqoOD369FVdbfJxfrjkCFLK17hT07bGHduToajTQ/S5MtRyCsePRnYXm2VD+mqsbKuuo3/zslxqIo1PEv17rqB1y7tGnYA5X37Lqqza2igPC7GDtuvPCtA/0Xat5+Sabny4wfsfEIZNCvTt79W6z+YDDoXTD244q1MFYchwzh/nXfAG/gQNXBwe/XiirXemlbcQT06Vcn187m1L3anh22sOVc1XmaL/pyzRjMt+QI1HcxWlH9mAobKyuq30AQrq+BI1YVx79cK6of4+ClXax2Y1lRfb/Onl3TcgFSDIdDZSJ/OBzOzc0F/85+ntR2aUcgQ3R/24fVRKvf7XY1D0X01k20lbRXgdMAFnHw++XSdrltp2eHLWLnar/fD0/RmZmZwWAQO5OHw+HMzEx0/wYKWavoEUgbFxNUM9xzAmodcryxoqeeYI5/uVzaNOzh/7bes/OYvEHGNoWFf7FnDzzO+xHhGdnr9apNIthyBJKGw2G/3/c8L/ygTqdT5sd2hWWT+qsfVb7Bmozj0ID6DlStHPx+J6PKZS5te49A+bbdlrrX17PDFuafq9GfxzMzM91ut39Bt9uNtlHFTmPzj0B0n26363ne3Nzc3NzcaDQK/uF5XuFC2lL9mhorW6qfrcn7ARZFoY5/ubZU3/FL29mGve6ePRvJ0JYVngGhgelXlB8RPQUr6WWtOwJRwY9kz/NmZmbC2xoi0uv1NItndfWToqdHrpTBhB2H+ph8oOr4dHu/3wmrcoFL2+ojULJtt67ulffssIVd52q32/Ujj+aFPxSDH43hboPBQP80tusIhNujd2hiRqOR53mTGoVW21hZV/1shYNwfSYfsao+cTK+XOuqz6XtbMNeR8+uj2SoW0oOqu/3++FJ6Te4YkyFGniswOR1J+qrfrIFNyqHGGP10yUYy8Hvl0vb5badnh22cLBxjil8BKINb3SkTPCeybedmZkxsK12vLGip55gjn+5XNrFXkjD3jqSoQYx/HGDYf0TeRh+BDQFt24K/Ga2tPrD4TA2iF3K9WSWHofmWXqgLC12GZZWucJL29IjEFOsbTe87g307LCF4eeqpAycUf5cNG2WnjqE60gMh8PhcBj8O3o0Yq33WIZXv+7GyvDqp6k8CNdn0RGzqKhRVX25hlefSzvKtYZd6u/Zs5EMNcjYTH+7twLCa6+mJy/E+COQ1O/3oyudRa/bubm5vFesddUXkaCTjrZfwWKIZd7TxuPQCksPlKXFLsPGKld7aVt3BCps2w2vewM9O2xh+Lk6XLqKQrjycvhzMforukAMJsYfgai0KTuGw2G0vaKx0md49ZXqCML1WXTELCpqqMIv1/Dqc2mHHGzYG+jZs5EMLS6cU6yYVs48/ZluZemNgui/oyX/zd/8zXBitXDjzMyM5kH47ne/W6I2RRQ+Akm//du/Ha1LrMcSkWDC4zR/8id/UqwKZVRY/ehtnLvuuivcnl1rpT//8z8vWqGCKjwOMJCD329Nl3aoppl6KlTfl97tdofDYSwa0395Ayrv2WEFp6JQWTocJmiRkmFYdP+x0YjVYViy+qHoR2QcBLuqn2ysfuM3fiPt29f5GfJ7v/d7pWuTGz31BHP8y3U8DqmwYdf5k2kHqtqePbl/9B5A5RE4ydDWBOdx4d/hTY7NHA6H4Vle7fD1v/mbv7HiCNTh6aefFktOAOWn5x2ln+Ev//IvLT0OzTPtQNX96fZ+v5ZWOXlpDwYD3/cLlMrSI5Cm2+1Gu7/s3yRW1L2+nh1WsCgKlaVXXFXrydobhvV6vfIfZFH162isDhw4IJZUX/npVfXUeZl2xOr4xMn4cq2ofn1xiBXVj8lu2KMFG5t8tKX6+j179PSotpDLK3wv15T8JpIvr28Yc6fTyZWzzxBroP/wD/+wzLt98pOfjP6vFUcgdOONN371q18t8/LYFiuqHxvNLiK9Xu9Tn/pUdHBoXr/8y78c+4ixZSj2QXWcBi0y/MGHNA5+v1ZUWXlpVzUMwYojMFax8QtW1F3n5lbsOSaTh6g4wqkoNPrR4bnnVBjW7XbDdwi+O6eqHwobou985ztl3ueGG26IbbGi+rX21AUKU3KHxjj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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%cpp\n",
    "\n",
    "Draw( qa_file_new, qa_file_ref, hist_name_prefix, \"residual\" )-> Draw();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Errors "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:58.591121Z",
     "iopub.status.busy": "2021-09-08T04:29:58.589732Z",
     "iopub.status.idle": "2021-09-08T04:29:59.080331Z",
     "shell.execute_reply": "2021-09-08T04:29:59.081060Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%cpp\n",
    "\n",
    "Draw( qa_file_new, qa_file_ref, hist_name_prefix, \"residual_error\" )-> Draw();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pulls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:59.100882Z",
     "iopub.status.busy": "2021-09-08T04:29:59.099573Z",
     "iopub.status.idle": "2021-09-08T04:29:59.774486Z",
     "shell.execute_reply": "2021-09-08T04:29:59.775127Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%cpp\n",
    "\n",
    "Draw( qa_file_new, qa_file_ref, hist_name_prefix, \"cluster_pulls\" )-> Draw();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cluster sizes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:29:59.793490Z",
     "iopub.status.busy": "2021-09-08T04:29:59.792236Z",
     "iopub.status.idle": "2021-09-08T04:30:00.063628Z",
     "shell.execute_reply": "2021-09-08T04:30:00.064816Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%cpp\n",
    "\n",
    "Draw( qa_file_new, qa_file_ref, hist_name_prefix, \"clus_size\" )-> Draw();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:30:00.130829Z",
     "iopub.status.busy": "2021-09-08T04:30:00.130274Z",
     "iopub.status.idle": "2021-09-08T04:30:00.236038Z",
     "shell.execute_reply": "2021-09-08T04:30:00.237052Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook contains 8 KSTets: combined Chi2/nDoF = -0 / 16, and combined __p-Value = 1__\n"
     ]
    }
   ],
   "source": [
    "%%cpp\n",
    "\n",
    "KSTestSummary::getInstance()->make_summary_txt(\"QA-Micromegas.txt\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-08T04:30:00.267645Z",
     "iopub.status.busy": "2021-09-08T04:30:00.266766Z",
     "iopub.status.idle": "2021-09-08T04:30:00.498447Z",
     "shell.execute_reply": "2021-09-08T04:30:00.499448Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%cpp\n",
    "\n",
    "KSTestSummary::getInstance()->make_summary_TCanvas() -> Draw();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (sPHENIX)",
   "language": "python",
   "name": "sphenix-env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}