MakiE examples

makie.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " "
     ]
    }
   ],
   "source": [
    "using FileIO\n",
    "# helper\n",
    "function xy_data(x, y)\n",
    "    r = sqrt(x*x + y*y)\n",
    "    r == 0.0 ? 1f0 : (sin(r)/r)\n",
    "end\n",
    "r = linspace(-2, 2, 40)\n",
    "surf_func(i) = [Float32(xy_data(x*i, y*i)) for x = r, y = r]\n",
    "earth = load(download(\"https://svs.gsfc.nasa.gov/vis/a000000/a002900/a002915/bluemarble-2048.png\"));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "500×500 Array{RGB{N0f8},2}:\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " ⋮                                               ⋱                        \n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)"
      ]
     },
     "metadata": {
      "comm_id": "728b81c3-3982-4d70-9ac0-08d312038754",
      "reactive": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "",
      "text/plain": [
       "Scene:\n",
       "    screen => name: GLWindow\n",
       "children: 0\n",
       "Inputs:\n",
       "  mouse_button_released => Reactive.Signal{Int64}\n",
       "  mouse_buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  scroll => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  window_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  window_area => Reactive.Signal{GeometryTypes.SimpleRectangle{Int64}}\n",
       "  cursor_position => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  mouseinside => Reactive.Signal{Bool}\n",
       "  mouse_button_down => Reactive.Signal{Int64}\n",
       "  mouseposition => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  arrow_navigation => Reactive.Signal{Symbol}\n",
       "  key_pressed => Reactive.Signal{Bool}\n",
       "  mouse2id => Reactive.Signal{GLWindow.SelectionID{Int64}}\n",
       "  framebuffer_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  button_down => Reactive.Signal{Int64}\n",
       "  unicode_input => Reactive.Signal{Array{Char,1}}\n",
       "  window_position => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  mouse_buttons => Reactive.Signal{Tuple{Int64,Int64,Int64}}\n",
       "  entered_window => Reactive.Signal{Bool}\n",
       "  button_released => Reactive.Signal{Int64}\n",
       "  window_open => Reactive.Signal{Bool}\n",
       "  dropped_files => Reactive.Signal{Array{String,1}}\n",
       "  hasfocus => Reactive.Signal{Bool}\n",
       "  keyboard_buttons => Reactive.Signal{NTuple{4,Int64}}\n",
       "\n",
       "    scatter =>     Scene:\n",
       "        positions => GeometryTypes.Point{3,Float32}[Float32[0.0, 0.0, 1.0], Float32[0.258819, 0.0, 0.965926], Float32[0.5, 0.0, 0.866025], Float32[0.707107, 0.0, 0.707107], Float32[0.866025, 0.0, 0.5], Float32[0.965926, 0.0, 0.258819], Float32[1.0, 0.0, -4.37114f-8], Float32[0.965926, 0.0, -0.258819], Float32[0.866025, 0.0, -0.5], Float32[0.707107, 0.0, -0.707107]  …  Float32[0.612372, -0.353554, 0.707107], Float32[0.75, -0.433013, 0.5], Float32[0.836516, -0.482963, 0.258819], Float32[0.866025, -0.5, -4.37114f-8], Float32[0.836516, -0.482963, -0.258819], Float32[0.75, -0.433013, -0.5], Float32[0.612372, -0.353554, -0.707107], Float32[0.433013, -0.25, -0.866025], Float32[0.224144, -0.12941, -0.965926], Float32[0.0, 0.0, -1.0]]\n",
       "        strokecolor => Node: RGBA{Float32}(1.0f0,1.0f0,1.0f0,1.0f0)\n",
       "        visible => Node: true\n",
       "        glowwidth => Node: 0.0f0\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        markersize => Float32[0.1, 0.1]\n",
       "        rotations => Node: MakiE.Billboard()\n",
       "        strokewidth => Node: 0.02f0\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "        marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "        color => Node: RGBA{Float32}(0.9f0,0.2f0,0.4f0,0.6f0)\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "\n",
       "    mouse_button_released => Node: 0\n",
       "    mouse_buttons_pressed => Node: Set{Int64}()\n",
       "    axis =>     Scene:\n",
       "        gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "        visible => Node: true\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        scalefuncs => Node: (identity, identity, identity)\n",
       "        showgrid => Node: (true, true, true)\n",
       "        axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "        showaxis => Node: (true, true, true)\n",
       "        tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "        showticks => Node: (true, true, true)\n",
       "        gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "    time => Node: 0.0\n",
       "    scroll => [0.0, 0.0]\n",
       "    camera => Node: GLAbstraction.PerspectiveCamera{Float32}(16: \"map(input-14, input-8)\" = GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500) GeometryTypes.SimpleRectangle{Int64} , 514: \"input-215\" = 0.5788465 Float32 , 510: \"map(input-208, input-207)\" = 17.365395 Float32 , 513: \"input-214\" = 41.0 Float32 , 519: \"map(input-208, input-207, input-213)\" = Float32[-0.663416 0.748251 0.0 0.135735; -0.413651 -0.366752 0.833298 0.0846329; 0.623516 0.552824 0.552824 -7.07373; 0.0 0.0 0.0 1.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 518: \"map(map(input-14, input-8), input-214, input-215, map(input-208, input-207), input-216, map(map(input-207, input-208)))\" = Float32[2.67462 0.0 0.0 0.0; 0.0 2.67462 0.0 0.0; 0.0 0.0 -1.06897 -1.19761; 0.0 0.0 -1.0 0.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 520: \"map(map(map(input-14, input-8), input-214, input-215, map(input-208, input-207), input-216, map(map(input-207, input-208))), map(input-208, input-207, input-213))\" = Float32[-1.77439 2.00129 0.0 0.36304; -1.10636 -0.980923 2.22876 0.226361; -0.666517 -0.590949 -0.590949 6.36396; -0.623516 -0.552824 -0.552824 7.07373] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 489: \"input-208\" = Float32[4.53564, 3.84, 3.84] GeometryTypes.Vec{3,Float32} , 488: \"input-207\" = Float32[0.2046, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 512: \"input-213\" = Float32[0.0, 0.0, 1.0] GeometryTypes.Vec{3,Float32} , 509: \"map(map(foldp(map(map(foldp(input-6), input-212), droprepeats(map(map(input-15, input-16, input-10))-2), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-2)))-2, filterwhen(map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-2, map(input-11)-2), input-210)\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 508: \"map(map(foldp(map(map(foldp(input-6), input-211), droprepeats(map(map(input-15, input-16, input-10))-2), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-2)))-2, input-209)\" = Float32[0.0, -0.0, 0.0] GeometryTypes.Vec{3,Float32} , 515: \"input-216\" = PERSPECTIVE GLAbstraction.Projection )\n",
       "    buttons_pressed => Node: Set{Int64}()\n",
       "    window_size => [500, 500]\n",
       "    window_area => Node: GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500)\n",
       "    theme =>     Scene:\n",
       "        colormap => ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(1.0,1.0,0.851), RGB{N0f8}(0.929,0.973,0.694), RGB{N0f8}(0.78,0.914,0.706), RGB{N0f8}(0.498,0.804,0.733), RGB{N0f8}(0.255,0.714,0.769), RGB{N0f8}(0.114,0.569,0.753), RGB{N0f8}(0.133,0.369,0.659), RGB{N0f8}(0.145,0.204,0.58), RGB{N0f8}(0.031,0.114,0.345)]\n",
       "        visible => Node: true\n",
       "        scatter =>         Scene:\n",
       "            markersize => Float32[0.1, 0.1]\n",
       "            strokewidth => Node: 0.0f0\n",
       "            rotations => Node: MakiE.Billboard()\n",
       "            strokecolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            glowwidth => Node: 0.0f0\n",
       "            glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "\n",
       "        contour =>         Scene:\n",
       "            fillrange => Node: false\n",
       "            levels => Node: 5.0f0\n",
       "\n",
       "        axis =>         Scene:\n",
       "            gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "            visible => Node: true\n",
       "            scalefuncs => Node: (identity, identity, identity)\n",
       "            showgrid => Node: (true, true, true)\n",
       "            axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "            showaxis => Node: (true, true, true)\n",
       "            tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "            tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "            axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "            showticks => Node: (true, true, true)\n",
       "            gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        meshscatter =>         Scene:\n",
       "            markersize => Float32[1.0, 1.0]\n",
       "            rotations => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "            marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "        surface =>         Scene:\n",
       "            image => Node: nothing\n",
       "\n",
       "        colornorm => Node: nothing\n",
       "        volume =>         Scene:\n",
       "            absorption => Node: 1.0f0\n",
       "            algorithm => Node: 2\n",
       "            isorange => Node: 0.01f0\n",
       "            isovalue => Node: 0.5f0\n",
       "\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        image =>         Scene:\n",
       "            spatialorder => Node: :yx\n",
       "\n",
       "        heatmap =>         Scene:\n",
       "            linewidth => Node: 0.0f0\n",
       "            levels => Node: 1.0f0\n",
       "\n",
       "        lines =>         Scene:\n",
       "            linestyle => Node: nothing\n",
       "\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        drawover => Node: false\n",
       "        color => Node: MakiE.UniqueColorIter{Array{ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}},1}}(ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(0.894,0.102,0.11), RGB{N0f8}(0.216,0.494,0.722), RGB{N0f8}(0.302,0.686,0.29), RGB{N0f8}(0.596,0.306,0.639), RGB{N0f8}(1.0,0.498,0.0), RGB{N0f8}(1.0,1.0,0.2), RGB{N0f8}(0.651,0.337,0.157), RGB{N0f8}(0.969,0.506,0.749), RGB{N0f8}(0.6,0.6,0.6)], 1)\n",
       "        mesh =>         Scene:\n",
       "            indices => Node: nothing\n",
       "            attribute_id => Node: nothing\n",
       "            shading => Node: true\n",
       "\n",
       "        linewidth => Node: 1.0f0\n",
       "\n",
       "    cursor_position => [0.0, 0.0]\n",
       "    mouseinside => Node: true\n",
       "    mouse_button_down => Node: 0\n",
       "    mouseposition => [0.0, 500.0]\n",
       "    arrow_navigation => Node: :nothing\n",
       "    key_pressed => Node: false\n",
       "    lines =>     Scene:\n",
       "        color => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,1.0f0)\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        positions => GeometryTypes.Point{3,Float32}[Float32[0.433013, 0.25, -0.866025], Float32[-4.2222f-8, 0.965926, 0.258819], Float32[-0.965926, -8.44439f-8, 0.258819], Float32[0.129409, -0.224144, 0.965926], Float32[-0.25, 0.433013, -0.866025], Float32[-0.433013, -0.75, -0.5], Float32[-0.612372, -0.353553, -0.707107], Float32[-0.836516, -0.482963, 0.258819], Float32[0.965926, 0.0, -0.258819], Float32[-0.12941, 0.224144, 0.965926]  …  Float32[0.482963, -0.836516, 0.258819], Float32[0.836516, 0.482963, 0.258819], Float32[-0.258819, -2.26267f-8, -0.965926], Float32[-0.5, -0.866025, -4.37114f-8], Float32[0.836516, 0.482963, -0.258819], Float32[0.25, -0.433013, 0.866025], Float32[-0.612372, 0.353553, 0.707107], Float32[-0.612372, 0.353553, 0.707107], Float32[0.5, -0.866025, -4.37114f-8], Float32[0.12941, -0.224144, -0.965926]]\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        drawover => Node: false\n",
       "        linestyle => Node: nothing\n",
       "        visible => Node: true\n",
       "        linewidth => Node: 0.1f0\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "\n",
       "    mouse2id => [-1, -1]\n",
       "    framebuffer_size => [500, 500]\n",
       "    button_down => Node: 0\n",
       "    unicode_input => Char[]\n",
       "    window_position => [75, 700]\n",
       "    mouse_buttons => Node: (0, 0, 0)\n",
       "    entered_window => Node: false\n",
       "    button_released => Node: 0\n",
       "    window_open => Node: true\n",
       "    dropped_files => String[]\n",
       "    hasfocus => Node: false\n",
       "    keyboard_buttons => Node: (0, 0, 0, 0)\n"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#julia\n",
    "using MakiE, GeometryTypes, Colors, Interact\n",
    "scene = Scene(resolution = (500, 500))\n",
    "large_sphere = HyperSphere(Point3f0(0), 1f0)\n",
    "positions = decompose(Point3f0, large_sphere)\n",
    "linepos = view(positions, rand(1:length(positions), 1000))\n",
    "lines(linepos, linewidth = 0.1, color = :black)\n",
    "scatter(positions, strokewidth = 0.02, strokecolor = :white, color = RGBA(0.9, 0.2, 0.4, 0.6))\n",
    "r = linspace(-1.5, 1.5, 5)\n",
    "axis(r, r, r)\n",
    "center!(scene)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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sNrTqEhwFJtp24RYtwxCFNKwSaJmczHM2nbMp73Vslgc0bMF6rTKk5AFTu8fAacE9qXdqiA8uCJXw2LsT1fAjJ+5zwoGTaUapNcl+OnxPPTu0enact0VhbFHDOhlLZNFYItugPJkI9DbaFRDl1lpjG2+DdOQKJyGro8FH79zrmcPPsUS5sTnZzJhulneyvGOzbl4sLCx0XvUd2XnL0xb+CVJTcH9i1MmBvvH9a7fuW1kfDKtxwPSxd459xezYV8JO2AsTmafvumi+2497lAAiWmdi1FZfLvoHRDsBF0wFkktM+FFexGsN8VIFiBe/xlWC9UmiZiMhE79ySzkTPq5Pmd2+qzvft0UDkQnTw35Q8OmljW17VFRq42mgtYsk14tUIj5QNMJOeODL+0Yrn1w7CAA1rCedzMO17YmTad04b/OCbI4B1smSyZDCXquNTyEie5BFxm+NMUiNLw3VK6/GEAFgGE2vjYZ/f99tzGyJDFLeOicojC1sVtisX3Tm+zOLV1xof+gbadrCPwFqmqH6BCjPg9/665Wb7l4dD0rnxs6NfFV6F1A4shDCYSn0sk1bDdLIVYYJAQMrLXHhKHrFRENHjaNI17L9CttJLiI7s4gLtyhH3TooApbiJwEdTsu8c5RCNsy7AOwqZhezDgA4YYimYMRKJEk/Tg3HDbUtTGu7NJLudfMOqqosQX/ZLM16YScCAItZZ1veu2+8apAMikUyKlHSrkiIpGgQKV4HQkRNyK5AiDOUh8ePgCCBiQIhtSqMhlVZiUU8kUE2RF4S0HM8HalNacIgwaRZMQCIKiKeP7+098iDJGgQKzIZUsbGEo3J5N51bVaxH1bl4FOjza8bL/zsd4Odxkid4TUF9zO/xvsefOAzNw/Ho8q70vuxdyUHZJeaMwlyw+WZ+U2d/thVxEQJODjG2GltG+CZA+L7RGLU7gI+ecV4lfg1XanxPWD6WLmGct3Qtqdxa4D4Wu0e/miz7SKgV0HhwNczEWkUmxskEsSWLgUmrcHaa1CNI3xbiNmyQAiPHAE32+4deoJUDJJFMYhGyaA8POeOiECKBNgzmQRkFwQCBVVRQRUlJrIYD04eyQoRoRXyJDYBfdiKssYYjkYF4Zwk/FFIDhGR+U5/sTdzYP2kQSThjCiTcFrDYY5SMRfWjV21/umb8rse6F2y67H+YE7ri1tTcD/Dyx09ue9Vb1gfrA1dVbGvvB+zC/6LiTMRr+xVEWFbZ86xZxWKwhII+vRkEROWf0CieYAgoEt2YOE4ESG+bn41uMSIi/gevw1g54QFNrbtvKF5V2EI26rKIHOmWLAdUXUiiiCgghowty06jCQ7RK+vDbYwNaA37gU6OdRNjzCAu6gu2E6X7ApXRiXupkK807p5p3bzniC+IBN+lAlLUaKKqqgGlVEtqKAyilEySB7RqlEDIGiNYVUVIQJFFEEUQfA16YQAgXoHiLKfHb25+9eOV6oGyCt5FK9ihSxRJeyML9nmxo58pT/xO5f9wU/mWzY91h/PaX0RawruZ3Kp53t/4c0njp9Yr8ZBCVMy+6azZpc6awY5qzePCGPvqOVUHgxbAEEB5xY2bZmZm+31u3mh7NdWV1i4qlzlXendieHg/tWjY3YEVLLjhOP1FlK4L5dMwUQnmveHBfca2VUEdEuniwBORQUEVUAZxQARSr0ZVMvJo0XMpCcMTDhHArT836WZryYiKB2iEGAp6x52I0IwGqWQRuXhOfcA9JApMYhXREFFUAIBYFCralAFhDGw5KoAnaw4f9PWftHJjZ3t9DpZhmR6Cwto7Ni5lfW1w6vHV44fI2BlVZV2gJSqIsCWTn//YIVQrKJH41QskhWySE64YM6Mz401J07se80fXfwbP4JTcubMrSm4n8m1cvu9+z69t3KVC2IV9k44ycZDW8oueQMsFTOl9x651oMD4kx/5txNS4tnnwtFgdYGDxVQxaqcEx0NByl9Dhf72C+KQTleG49Wq9H9g5NV4vETyid8D0tJEPDdS5LKnIrs7SVVBlXQbVnfq6CAoiqpiBrAgOwmLv1Dm20PXAyeAu61jcEkuINCi5wJ957wfVvWv0EPg6KB0LyLQQqtulGkQMK0W3jALtlwcCLA6EssKqgGMbTtLNgh3NWfny26M3mnF5SdaaGJyPR7PZiZh07RRepuX94mIp7BueP33LnvxNH1wSpoTJIKzfuWYuau9WOoaBAtilWy0QaHjGBF3FEb5t6r/7pn2+33brp892P9IZ3WF6um4H7Glnq+9Tf+bH08DNx6Jb5kX/fRXts8iW4t+qxcegjyQVDtFMWTzrt4dst27HbBZklbLeAdeA/jMWRZkecAIBJc14WZc2N7eYGI55O5Y+XIiL2HpoVP4B7PGBhkLCynXV9qXfeJmdmVzyJgpRw5elGD0kw1QRIhA9QA+0bPr2gd1o77UJBWoEfrwdT7U+JUEHCr7d1XrVkkqxKGq3Wrbk4nmMnBsIoTBAp3EX+4QTKoilrYfPfcUi/LOzazxtTz35DiZIOZ5WAN2IO1kGVIZKyFzG655PKlslw9dODTd90yLsfhHQ/8z3zWPVSuGwzLVvUFDZILbwSJJ2OFb/71tz79TT8zbd7P1JqC+xlbXLn9t90x9pVPMkSnYXCqNbh7EQ8iql2TVcw+oBXRXG/mK658su3PQpYBGVAFFhABFmAPrgreMil6Oo5eg71XkHhnZHbPbj5eDu8cHKuE23fq0kElwL1Tjv4zkxAvrYGqj6tMCqCVsGKgqtUgGtQNAsSwCAoTnPvG0gTrbafJKGJpnTRwi1MCUA86FjYoFtEqncrJtCG+IJP+IaqAICiCJKq9QHNOb2Gh6No4FI0voERpkrKIZ2+rygSPsywH58BaMGFJFTDL5rctP2Nm9uN7/mVlkDweVHvGlsKEYIAyavA9DAnqI5YVvv+2O76srDLbfaw/qtP6otQU3M/YOn73/evDYeWdV65EakkMR7hMDIlqTtQztmRPiN0s/5JzL9q2bQd1uoAIogC+sVH0HtgH+wFxteuAd0EfmaTioSlGxJ7NLuhvvn39yFD8BnCvh6uheefTLTEFkHWqXmXGZLuKubptZ1ALahQNaphhIobUpQjxkAI3NjizA0AT9NHq3wMnkwxwoD3LrR/2rmJuf7W2zs4iZSh0Gh1kuB4HraxSxcWrqPtkIAuak7mgv6lrskjXNFtU7BiJyDAhuvDwc1UrwcMyA2EgD8aktWHIis4zr/6yIwcf/Md9t418qap9ygFxLN6gsJBFskAmNe9eyat64YwMD4Yn9t2/9cqLH+uP6rS+KDUF9zOzxPuP//Ibh9XYiTjlSsQppz40AVYkTHTG9ByzoHaz/Ct3X744vwBkIpQjA0BtkAscwJ19cAfztbeMcyklNagk4zAWwACc21047sb7RicqYQdB9i5Vat5L4ZDIwQ0n0wZ38CoEYABRoRJWBKlbYERSDb5dMRw1gjs83DQ11KkzVWlHaccWvp4Ga2CTEMAARl4LqV5ATQ17WlsFsUgdNE4FhAW1vgDBuZ2FxaxLEFZ/Q/6UsIhHJgZEJI+YxPiQDM4sM4V3JHA1SNH4V4QAti1uebbNPnDrZ8au9KodMqt+bJA8qkWxSIF8D3MCr+LJZCpO5fpffuO3vPW1ZKc4cAbW9E39f6FY1HnQ5ImoSnn22alSX7qH7tg3Yu9UKuEqasxbJroQulEVlS7ZUrifmWeef1m/0wVAYA8huhRiAFLtGuY59One1U6Q3lfR79enIOw6V09D2miP7Lnd+ZsGRyvh0LZXKokmkrF4PgXc63C7gJhD8Yf8cAfNBLUJA1pVRqRWBx2RXZt4a1SAydiNULUBWZ3Y127e29ZmgRQKnfshNxyKt0gtV0tAgDa4h+tdsl6lFBYCSW07IFza2dylLDyAoMYhFEJuTjWSGD/cReRnDFvjLfvM2mhSXzvUI4bhdK/oPGf3FR+4/TOOXY8CMyOJk5GJ5h2RVZgMqz50+z5fuvyzgrt6VuehdSYEmZ16GDz+awruj9cK4RhrYzhwnD9zZ3X4+LAcn/zMbavlqLj8XFqa71x0ztKTLi02LwCAKbINzdfRu+9dHw0r8U64UqmEo/ajHhImzJo12YzJBPQrd13SzQtVZe+MCiA13umq0uymcrjikgGka1mGVclMJujoQ9xS+CkWaHdnYe/gSClcg7sHdSqjFrgHQKd6/QhiVz5rsjmTVU0jjIxqIOpS6r2hsBoae/aI8g9Py6Tr2nAyDedeWxDXo+A5k82abI2dxLC+aBAvCgyiKnUXnyExaKksooJGUIlwd2ehXiBIPxlJ+FQljzTp4eKFXVxPdZm1tuUtE6SQqsDCItLJsmedd/n777phxuQF2VUuLVIWDIqTciY074zKoIwqo+GRu+496+pLJz56nrmsEGF8bOX4Z271dz+kR1fcLffNFd25J1/SLzq4dREu3wUX7wCAqWv847am4P74KxE4sAIf+le45yiwh7IyzsFgfbxy4qHjR0rv3cc/7YUZUSx6YbN5fsczv+SqF/2n/pbF+AO8/8DPv35YlS5JU5xym2Gokd2rzJi8FH7W2RcBgIhU3omqYa4fTtv3PIB7WFKtMb22l3FpE9KJj8tNoEGtQkRGyQCe31m4cXBkrOxSC+9UxsqxSU/LR5gAGmt8BxyLKHkBI6AMaFTNpKgcW5w7KtSEzKm8TGQ80tW6bT9lpqrcdO5cihCgSYJLBVVFxXAMxHBs8CoKUIW2PRyHSAHs5Z15ArQpShUAWRVFNpxVxHhxkkyERVmEDRtjLBtD5NhbMsFwJm1qIQCqimfxIqrytO3nf+D+mxV0LGxRfCOYEashyFsEjYAyqnfygV/4re/9898xqTkYHD5+85+9++Dff9odXcnIEAuJBuueozY/91/Yzi92+ofhU3dDUYC1cNEyPOty2LEwTQF8vNUU3B9PJQIHV+CDe+CB41CWMB5DVUpZnhysDcrxifW1QDCE4Vsl7EuuhN3a2sF99930vo98/W/9z22XXWisdWV1/+13jcQHSKri4HRjzx4uW4r+NYtnIZIlU3kvqp55gxNLsjtnTsaQjV9Y7RTGTcOuAJ2iWOr2lzq9ft7pmGxlPHhw7eS6K29fPbzO7vbyBIN41lLZKds2pidAr1dMA7JXKqWyijJqhsRIFrUlLU89e4L4+tgAAKCwoTtOV+JpRUze0yRYbOF7ewhcqVQqFinSLAnZFVBBqflWnXKpjAgFGUvmgmJhR3/+S7bsUtCdc4ubujNj79ar8YHB2upo3buKVZTjSrCQEVKhsMprWdiwCT71AdltMjRuMSUa/N0sGUR88uazV475/eWaRbI17Y5kUcOGLaMyEKN6pPtvu8uXlbFWvD94y10f/OGfd8dWkmNltDPL1ORgif3BlROlc/Oj2W6ed/Lc5AXsKeGuI7BrC/yHK2B5fgrxj5+agvvjptbG8NefhIdWoCphNIJyrKPRYDwaluNhOV4vRyW76AEQjVbEiTiJspPRwcNv/Y7/vvmy3V/zP1++fmJlMBqVLXD3Lcm2bylAAECY5zvdXpY59grqxVBCdozNafQO843rbwB69sk1zAuLAqv0u/2z5jYtb97S7/bRGMc+y4tqfX227G2fW3Tsn8Lnhaimk4P1vScPvO3gTbeuHzVAdZBFu2GPtExqz8fiBYnRMKpFzaJOpo3sSNo6QkTCHQBOM1KtmZkE8Y1LZRvfXQPu3EZ2CfPihOx1Cy/JafXs7twLt19x5cL22W4/t7abZbnJMmsza2dn5qDbZecutZkoD0bDo4cP7jt5ZDQYeuFkpGPCoNWSMcS1lbGNdp2NW316PioqnrnIsrmiq54dsJcW7Z5CvQM/E8A9Q5LxaN8nb5jZtPC3v/g7x26+26ja0NcrCRkBVTWQ5hZDV8pARq7q5nk3K2a63VnvsByDq2D/Mdi5Gb7lKTA31VY+Lmpq+fv4qLUxvOljsD6EsoSqhHJcjccB1odlOXblyFVj58beVexK9hX7KF2PXyP9Ugl7grFw6SrXgqSakOHJth0A/9vOa69Y3BHC3mywpYI0N6vJ6MT/ShNq0ViGiUq3KM6eXzpr85ZsZgaKDto8xcIhAEBVwWAAw4F3rnLVyJXO+2FZro0Ha+X4MyceevvBm+8brQgAbWzeAVrOXD2yGZocKcOo4CY4Tc4RYavxB4CHp2Wgta2a/Ms2uhAHy4R6SDAUX0s269i/9uGBAM7pzn/H9suunt8xUxSzRa+T57m13bwosrzIcuz3oT8DRQFBjs8clEg6Guhg7eCRI3cdPbA+HhFioNcDJWIwdOsUo6ZOAXeILm+RH7vp+IE37P+0glpo9piahSagnCi9mKafFR0yRiFDCjR9cCTOyIQMkDxYzJMpTFZYW9ism+W9vOjkRb/ozHR7edGBPIduD+Zm4Qe/aorvj4eadu6Pg1odwe9+GNbWoRyHONNhOR6V5agqQ6RG6auxcyW70vuwaOrayF4T68JepfLsRRh0rN5JmlvWHgCttt2rGsRtndmKPYT9RuHWMmeaFgZwT8a/rCKSfBOFrbUXbN6xvGmp0+thpwedDtgMrAkzUVAF9qAAeQ4i1hhCRKIxlizC0lXApyyedUl/6Za1w3/w0I3rvkzNexvcwQCNxRMgozISk2FRW68vKdSBGA3zDs0hCh6mgQnTYoEJtj2Ce7IzC217I/IR7pDFQMvU4K4a2va+yV+y45pLZpdm8qKbFd2syKzJrC2yPLO2yHPMcjAWmKFyMRPVWgAFEaRZtNly3tm+aXH/sSN3HH5w7J0V8nW2VAraro1/Y+o3hgeCCqF5Fyd+W2e2VBbVtglB6N/DfFXEBEVpZoxjByIZkqIKghKogKIKqKCpdfr1VkAUugbvHebKu35VdYvCVhWUJbz+g/DDXwNzvcf69+qJXlNwf6xrdQi/+QFYHYCroCqH4/GoHI9dFaPvUqpGsP2KDXtwYNeI77FDjxKUpotXhZH6mrc5lW1n1StmtxBgxV5VPYmpJ3S1O25tpBUdV8KSkrAqi2TWXn3WuZtm5my3B50OZDnYIJJLmasiIBqvEIbJKiWZhyHKjfUm62Zy6eyWn9r11Dc9+K8HqnWNU9gIzUGCMmfyVa5qZPdIWUq5iyJ3bdTuIeUOH8FJaTKWadL+dNKlsp76hld4zuaiigqCkckP5moIsFzMvGTHNYudXkj+q/mTOBOOCeMK7IHSeYVJukZAIIQsR0Qk2mXsXLf3T/tuK9kbQWrAHYMDcHwZ4VRmRlnFMxPA7t6mvWuHw26qRdrAz4RFgcIWTgUElNKmbpDfowqqQjxoqRpJweLRjTkYZ6bReulczxX9TrcXFpj/13vgx74R5qf4/ljWFNwf01obwa++E9YG4L131bAcD8pxWVWld2PnSh8y8EJCKbepmGDoGNvJ0LCH/l3ay/2CgCPxLiE7JwbZJ2/0q2e2emH0IKSGpI4uqhXu0uxPpgWf8G9FOll+5fKuhf6s7XQhy4EMBPwSBZTwz0E4OhawDxGsQWwTe0CE4EtuyWRkZrPipTuuvmt44t1H7xqLb0shQwTS0PmesQVaIkIIWIcI4EREtW7b2+T753wHTku1G0BDRIQqigCEQKpOZCh+M3YZNGjLk9gGO2T/4+bdu/ubZmxuMeYlJSubGhNFRIwwMIejT9LpUFt1CohgM+joJpWn7LrgU/ffVboKQIyEZ0sx2y/RMvFFqptqbU6qrp7Z+qnVA9EYEtr9u1oURtO1mVOp32lFUAQlTULP4DsPGnyJgdISQMirshLzCL2TuOIQZFQd7/OqhF96B/zUt07798ewpuD+2BUL//Z76Ogxz1x5P67KYVWWriq9qwK4sy+9i0nTKdXTJUB3LTT3kZaR2LyrVGmOahDX2PuNhIx4VYu0u7PghFWVVY20zBQBoAGmCS/cgO+7Fpa2zi7M9nqZzYAoNvoigAAqgdJJS60MzMAenAPvPTMzs3A6tY+ohogGKSd7Tmf+hdsue/vh20rx4TQiJ9MhyyrPWt79jMVdO7pzBnFrMXNWZ/bB0erh8fqR8fqNq4fuWzt+ohq1sf5zQ3uQHoISoCVSwMW8s2tm09Xz27d2Z7Z2Zs/uzR8Yrx8q1xX0odHq9cfvu//4EYs0Fi7FB1anMObbt1yykHXycNSJ8hyIZwDhREfYMxF6RKBAtUM6oTGBwoLG4wEUAMHYuW7/quVdh1dP3nPyiGeOZzwQ2/bG2TjQX7VGPuw9iVzQWRCFSn1bClm38H2bOWUUUFIAqLmppm1HDQbFKVokKvpT5946mQtiWZZw0lB5X2RZVlXZ77zHvPLbpir4x6qm4P6Yldx3aHzXfvbeMVeuGrlqXFWOfeV9SKwOg9MNMdNOJqDcN916IxuvifhwxSKtSTXhF6biVa+c2cIqJXshQyppfb81f2w6dw2OMeHKOfOb57v9fqdrTeSLgQWAgRQkgWrtWBB6Ve+VvXOuvcgajWik+fkhU7RH2bcsXfihk/cOhf/jWZdus93n7rx0ttcrbIYKSJhluZ2d8+trW6pFVWXm57Mv2Q/L8W3HDtxx8vD/Xdn/4HDVg8DnYmYs0o7u3DMWzr5wbsuFm7Z186KT5bkx1tp+pyuIy51zsRyDaOnKF9uvKL1bGww+eN/Nh3n0zvtv6pP5qvldXcrChBPq419UFjELeY7kTGCrckQKL07gZMJXqNO704umaoj6ne68c2exv/fkEScawT128dg2v2x80LTeVpPd3fkb1g9PcDJAmdLmrOtUMMh9BACjhXLtgZP4GWi8E0iD/DNQNIH/iUSQaIpX9J65Yt9xeWatve2e2XsP2t07HutftSdoTcH9MSqWwVs/NB6NAl8ZRqYuMTAuBmv4tO0ZI5Nca/cnqTi4ZcUVQb9qydvDJUNa47KtgLRI1/S2eBFUFtV6w7MtLamNzsPvcGAtFju92aLXywtDpCosYphjw041srdxSoCZgz+B9+Ho5XwyKmD2ErOZVCU8EoPYIfusuZ1Xbdv5JdvOm+32Znt9yDPIC8gysBnkBRDZhUVbljAegvPgK66qyrmZonPxwravGJ235/iBNz94w0k3/ixvwkLW+Z4dV12xaft8pz/b6fY73SLLunmH8hyyDHp9KjpgCBTAux4zeG+d68/Ov2B2dm00unxm6f4Tx8ZVGRL+GusCESbxwiREzDFRo1HTq7VixSAbIIqXOD/WOKIIJmwqhNgtilnXncu7h0ar2JYGtdKm4vuVrBTqmMCr+1tuGhz16TMQOJm+zSphJAABIKjnpSLBtxJq9x5FlcTSiKiiChgJX1VZqebfwyZtxjZodSrrOlmeeUt/8jfzP/vd0+b9MakpuD82Ve176OTNdwfIG3s3rqqKfdzzFB9GphX72KdLq0NP8Ult/XUKoW7RMvV8VblSrkTG4p1KoLARMUc6rzMf7HNZ47CulpZDSyMY2JOwftnPi4VOP3i+swizeGIEIBUgjgoZSG27KrQytYNdQcu3wIWNVp+IeE5tb9dml205a8fc4my3O9PpdbpdyDsQANdmrSEkgLXQ7YF14IwxtkPjYGVDhE8x9vzZxV++8//eN1rxyagyFAJYpHO686/Y/bTFojdTdPudbr/odPOiWxSQ5RC+RropjjrBKlgfHkBOZrPNvvKcS9a2DPefOHr7sQMxQ1yUUTwKBdMY5pQcotpiMDIR3+wiEQZ8D6VBetoEkQMAIi50++u+OlkOg/C/UXxOkk9RkZnO0s4r5nOk8CbWEF8pI2DdtmtiYAJDVfvO16b5beOzoJ8JubWslN6yAO7GEzsxntnnzCIZ2+rmuzp3P1hctPOx/oV7ItYU3B+DUuaDb3rXcDxklop96V3pXb3k2XDrwgnZmz69xvFJ+9yGk6k9IKtI0UTEz5BCXxwW9LfnfVEJVi3BbwRb0UVtR9w0bARV3WJmADW3VqI/rQcEETHMAafCP474FNU1YTPee2bnOVypfHCk8S7utdbZqjLf6Z27sLTQ6890ev1Otwg4m2Vg7QSsh6MPIhABGSADJGiMNaaT54EgRsCfveiZN544+LsPfPq4G9Wv/ybb+YGzr71yYftM3u0XRTcvChvXi8CYRIJjdDzGIF4HQAAiMArWgggUnVlERNyFOF90bzx0fzQ9VmFlz5ioljS6CNRT8nKwTJ5MZM8DyMfXPI5eWaSeUmbWKmjX2EPso5x/Ik2w9dGqafckft2e9x+s1gWQQEW1QFOJIHFKs2ra9ppqj1couaehcqBlGqwnBsOoXCO7CpN4kkzEkwgoi+RsrXcPvfH/nPtrPzSNBHn0awruj0EN73zg+C13iWcvXLEvAw0dtAcNtx5xvPETl4aB2ZB60dbJpIGqBMswl74N25UBGizQ+cWCj4a0IehZ6q2fBtzb6zmqC3lnJi96WSeIMYgJAEXVE0fNX+hRk8AmEbJcN+++bTqW1m08swvkjMjm7sxib2a20+sX3U6eZzGbwkBiIOLUMbDLkmj9IGUEBQyrm2SJcmtZc1a+dG7Lz5779N978DO3DY8BwMW9zS/dcc2W7kzXFp0sy0xmjTEmPn5IzHi8IxWQ1n6rBK8BjFy5sdFqTeTSpR3HBmuHBithVwCBa8YkKUrD5pdmIp7FmriLhC15KDZj2JbNA3vP3MuKKvdzWXGsGmLtb4wb929rEwVOmHt+sXC4GjGKACBgqUyKpOmBCUhk25PYv27bpdWttwatQUPJoIzESJIoeFHNVFnFRjmNOMPWmPLmu7fetb9/ybmP9a/dE66m4P5ol3p+4H9fNxyPWDSAe8U+MKRR4xi5dQk+LX4Dmsspt+jpB6o1PxNdIVUAqQNEiBkai1QKCwKnMKPaiaUF7nVEEajqbNaxZELDTpFrEJaN2/DaWnIJ607RlyY06Szc8qJxgYwS9sL9rJjJO/2iW2SZMcaQIWz16SIJ3wUQI61fD2wTyicf3IiYlkzHZnN557+ddc2JshSV+bwzl3cKk1lDhAlWo2K9HhUwcOtwEpSd0JoSRylnUKCbTpbPFN3Ku4r9yfEQkdvUlqiKUVZhCvu9xpLxHP1hKOJ7fBjxSBA1NuKFnfeeffCNmck6q74a+ioteSUqLd0dpDOtQIU7FYuYE1UKpDoCz6pGGAE1UupQSx7bs9PapvhhL226BkxySJZMDYt44sDCWzaG3P1vu+6Sn33ptHl/lGsK7o92SeUO/tON3lWhVa84mm3FJj027Ke07afp1jeCu29tyafOnauE8mFTPzTvBoEh2hYGG1jCSMLCZOdeL6ku5b2uzUIPTnFnCLyIITZ161nvfKo2C1Atx4LYvIeeVKRtN2aJ+nnRy4vc2AmyIYBJUOMAJIjHeOhp1DgcNPXJZDi50AMQUWGzDud9K6zSNVlhrGkEKjVvIhJhndp6oZD/0Vjb1xIgkcZ2DCCztpd3Su8d88CX7R8cWWkyTBKAz5Kh6BUTMZ2o2Uhq/omIiDjmKpktV8KiUipjbaGjEwNwaNknhI9HTtYgWkABMEoAUqmA+OgbEzZR22PVBrjDWBUiLdNibJr+PfwRqKgR0sDCWyQjGOSYwYDs4D/deFHlzBTcH92agvujXQowZu+c8ypxopgWPv0Epc4bxIvtnn0DsvsJzj1168r1lbC6aRAZpAPWIs2ZPIB7SCKl1L1O9IAAENdjdC7rhI1EJxwaU1FNnidISC3HAk3wmuiImpyJ6sDmSBawvmS/JZ/tZrklE+44cdNsmCbSoBAnkLcGd2ZgHxiMpKNPO5WqiJgbWxjLKpkxTYOcKOPwkIg9IdqwXhR2a6U1JU6PrC3e55Q6BaqWqJvlpXfrrnTMqi3VoJAhYSJPYok8MSEZJKQoZwynPs2HJP4rkXCk5zBp59msUJUj1XCybZ+gZSAmZccPT4ZokETBgTeICsiq49ponlTARIhPIJ46dwhxhhLcjFO6YcoLVBsZeQkSGlbKiFijyXC0uyBriTybqYPVo19TcH+06/C/7B0MhxLpCHHtaFONVIxrqdE3NO+ngvsGzj1tMHElTc8efc8BDUS/LScyJs9gLIgFCjFGsBHc42pM0NJ4EYNMHLkXVqk9T9JkD+uFzHpFqWZmghSaUyPvtenf+zbv2IwQE48RmRxiwrD2KgIkQMkQLFH7MR9KRMNJgPcTgX9xqBtNUTIypIiTE04WYWaPlA5vKKo24JsIME3oO8N/0hHFe++955AsqBpeqI7N+lm+Uo5qPzJRNUhGiZWsCBO17QSSKztSa+TRdn2I5Ix4L+yViTC4zE/aXqZ/CAAAyYY+TtQNoCJajWsIwe2zUgkLSmkr1chpOvc0PkUVBE63cOtiAcNxIsxXLalF9SgmCSWtkhvBoU/sOevZX/pY//I9sWoK7o9qiedD/3rLqBqH39vUtqfou8nenCfx/bOAezWplnES8Z1VTctV0aSLBRqJz8UE01ePauAU4UWTaKHndOZiyGdCcdVgVzCBUNCi6aGhF2J3XNuNtcA99O/SsVnYsmyCQZKnvKpaFUOCxE2wXHx8AqIanCkDuEd8r7fhI75r64hTr2XVuEncGCzWFphWxBIn38l25w5BCsRhDszeMTNLWMoPu7Ydm50sR5VwOLmREJGhZISYyAgRoRFqI3uQMEVrdm34nNpsOcyfvcjI+4LMCe9qC6AJEksBQgxh+jyMxBsgRTAoAqiN3SawSqmqBDXnzqhZq3nnmIuiAiQAwSGIazl/xHfkiPjERCzBap8MSgR3IcN86IZbl5/xZJoyM49iTcH9US0uq8Hq2pidpHkXizBoDfFtmeMGqy93SgvvNvbsEzNVgRBURA24AxqMnTuDlOIleqOLQdqQaAGJlgGAgqxTJqlJYWClAE/JnLDRJ4I2Y1hpMTOxTU47LzFDTqVvc0gdriRdPCUhSNCiGOKa1p/Q5IRDBTfakqiwjFJLDm01twK424y2FybGmt/QsFtv2IhhNt4E5iSeL9SRg7WaxQv7pOmMC7ciogIAXZutVCNBtapCalCMkkEiJYNIUruA1eAO7bMfaF66dvPOThgBthS9Q9UAaqmMbnjXtKZlnHKpnhAsoEFiVYOEqoiBrVJWKYWVlEEZKKv7d6lZGtPi2SOO14IZC8qAG1p+RuU6zE8lpL4OV1e5rMhOrYAfvZqC+6NdTmTMPgiBXeCjIXIywYSvpjtD4xN06xt6dn8qmk+6himoQaoJmTqOrk5w9qpjYUZNGQ5yulCLGG/NoE6EgJOqRI02DrQbVmlqZ1hJ20+1Awkn0+Aa4iVEQ6iyCCt7MSZx+lFsk5C9dRTB+n7iP0xUPrcD/8ISbB1GKhIfQ9y4EcKI7PXDDsJNI8YQM8W7pcZWN/6v0e+3lJ0pFjxuY1kiAHRhjUCD2FQNSft1ix6WcbmgMeOEU1x9ajFV2G4T1TLuHpz2eAzcaggQMAC6ATGIYTcANR6vAElUx8JZg+CmPTKVuJ9G6WuU4igF63w1gMnUHsLn2aIGCZZHyZC8kkFyIjCtR7em4P6olgKsnzxZiue0ZgIQNw53L2w/uzvXN3kGOHTVvYPjBRgn/ng1unN4/Jgbjdl7CEoYdqo+0i8bUd5Hkp1MG83rbxENkEE86kabbJGTycEwiNG4Idnm3EMtZV0v4qCW9ykTJZDCtIHZcjip1ZMxPDqAVFxAZZ3A977N0+KPeBHDPkZIR48UZWFq7Muhxf+0mujoW9UIcuIEMm3ARgoo6AvDBikKITfHidrJlsgIGzJh5tnMihO415xJO3Gwzgf3cWgsIloYs1I5g2qC2BQDsotJzr1N3Gt6AdujYoWJQ6MPqVvClbAXmTXZETd6OGe0EMkSJurH/DhwbuGtR9DgaglJhB+eWpzqh76biMEwaNZqxgGBCBm0S2Yp713QXVjuzufGjIV3zy/N5B2Huu7Lu1aO3XPikCJ6FS8QMrMMytrJlelM9VGuKbg/yqVOZBw8ERG2zm960tLZZO1V23aC6thVhLQ6Gtxx8IHlYtaJd2w6lC3lvZF3I3HH3WjNV/+0dqAUt8FnPCggAcAk+5FArxOQSbRMfWNo6gfivSqTZkgG467OpK5OEaBrAifT4L5RjerJCXCPf9owM7G5Tlrv5DOc8F0xMjzRxdAENoYxojaJFfaUAj4QQioTAGyYOk7mQ7GPEB/XX2MQoEZ+xmjwBmiOVfHhRZ0iGSKT1rJognNqZgmtpaTUv9c7WbF5F1VAxErYIBoUSpLTQJSFrTGqm3aYOAGa2A1O/i2tSHHukS3Fp3drY0Bs8HYuhUtli8SgAGIQjUYtPSOhKkdn5rg2IAqlcmug2rTwuTFfOrs8Z4vFrNMxWcfYwtiMjCUza4tRVV68fWdYOnsqGSa88eD9OfM/Hrjn0MoxFgnT+IfNTJnWF6em4P6olgIcfeigB9m6sPQNF1+7Y+syKJIhUAXPmXflcKCii73Z1fEwkAYKHsCIUQVdtN0eZc+d3/Xhk/cdcsNkHdM07OlkH+rmvQ3xBEhAa1xttl2DOGDHJF6lIGNDctEpjxYBx8yOBAljNg9AgCra2HjGfwLQ7nCbEIx6j5EhgnvX2HqR0ggTIjKCghoVVSZhIgoddL2QeYpesNW8B3qaU/4fO5a0IRWH1ZIImfZakqqKUVE1IkHEYshEz5eJtKPWeckEcZ/6d6kjwuOc3AAOlY2GkydN5Ji0zGGaTMGWj/7EKUJD0NVuzyIj5TIqTk+T/e1VSuFKuRTuGAsAK97laCxGdSOCMAAoASqAIKCqIioq+GCAgyoUTTU32c5zN+2aM3lBNgTvGUQAIERLlBkz1+mdHKwtmYWi04EsJ5s95YIrwJjLL73mwJGD77v5EwdPHDn60IEptD/KNQX3R7WMtUuXnPd1my7csXUH2QwAQBicA/bgKq7KwXgUJBbdLIfYwSmrNBFrSB1jvmrTOfeNVj85OHjIuVJYQdu9ObYImRriA/RbRAFa4RIB48AWxYPkaNoYUc8PCbBUH4y/EUBRE5svqW1vsAkg8TITsaKxf085DzGAlFVzonq46iNPkrjvqAdvwkKxwfaac4faSzKpLTWpcbi2c4jbUmEnCNSrkDTjX1ENC/RMYoKUBcnEI0prhhvPSBLtnpiZNr671oGkHhc7YUY0ioRa8+y1BydBotwn5er1C1jH/nFagAiLaaX4UnwA3/rNSv8QnHIpUqoPclgFCNGpCuH/wAnWQQGRRFWSJTECiMJYGQQ2ZZ0vn91+TjHXQTu5XxDNywxSRkZVK/YnB2ui0s2LFN5CJivO3nn+S8/a9dDhhz6xODJZ9lj//j2xagruj2KJ2M/c93w6H87JgAhEgH0UTbtKnRtXVZBbtOgAbPJ+gqEjAAIawOWi/1x7zp3jE59aP1wqm1bgHAGkraW6eY/DVYsk6XfYolln50kDObMB3MMVAizQlsJACAJKqqKE2m7bTwGmVrJoa2EyAmJq4Q2SVzEqNiC7cOOsomqUOEgGw3Z+PXfcYFrZUlum/L+EtkFaGrd/o/+aqGJzcABVVQp7RlGqGGy8TicEanumT9wvtyT8Db4nYStFZoZI2+AOYe11g4sAtNeDdSLZVRrzOKnEF2jHwrVdfa1rCv8JhEwlPGOy+rXKkBSAQQMHgwqIBCBpd0AxNu+KqF20T5nZdmFnoWeyVqpU0oJqM1YJj61yziCtj0ai2gewqkAIZICIsvzss887mxk+eS88dXfjfzmtL3JNwf3RqtUhvOXDcNxBtwsA0e6KGbwH58C5yjvnXRVlHolB1iTTTo5Zqb2K7fk5xdycKf5+9QE3QcukPj2QM7VgBjF4Q9Ys8hpXXbWeYmbThocc7qVUT4HEIKMCgkCojTEhNFTxhG9BkEJOtp/tbNIMwAkaEIeC0jDgQoZVjZLBlhi8EQs2xEXdQTd5QHXn3hLRJ0E9e2VRQIWgDIqWWKqGiAO4h3OjFrI3UplUNesen0tY0dLmcJK8PKMzsxepRExo2zXGedezipAF2H4N07NrD6VjWrdPASylcql+lDp3neSyRbVULoVH4hdsUf+0QL4jACtgIOJVNCkjSUEQGAABcqRnze1cMAVCTFANBwRNIi5REaW2WsmnyL3KucwYawxU8bQEEMBYsBY+egvccCe86NkwOxVEPho1BfdHpVaG8Pp3g7NQdOJepWfwDqoqXJyr6oA9x9EoKmTRScJ30TrCWDWdjyNgh8xTZ3Z8YnBQtGZ1Y2MYkL1hZhAtEmMD7ud15m8fneiDDcJkOIV2J8BSmAiDrkcQhJQUESEstUZd3WTER+PBFWmZjfjOqkhoFJ3Gnj0gqICatM/ZVpVga/BY349ubKJbdgJpKYwTwrKKExHQ4OAbPA5DOqjRKFI0WMvPaYIQnwT3iVlCY2AQRZauHYUoccXMaGJjNIRlb2zb8RTyPHXuSW4E4NNuWilcCg/F15+EdnnVUv2Q/UXdTfU7oqAZmrB/FAQzIapDVRCBAKRu3gm/rL+tQJP+rdY+7xvSFqPACRMrxd4QGU/WGULqNNY9ClbBWiCEo2N4/fvg5V8/zVZ9FGoK7v+WUs9SuZb1CpgiI/swL6YIvPlvYIzQyZIzSezWwVXgKueqsavGVVU6l4zO4zqijzs42hDWGky027/VaImu7i3dPDwGCTjCqXTgYWr5IwG6aPxbKxdhxmQn/HjGZBlObA8GpAmcOwoqhbBRFTGUKNd69eY0fHGr9xStz9/jVwBwKkbRKJMiKmKYHKgaFHOK1LLG2Y33kkC2bqU5Ceq5lTbnE2GtqkgQ1CAWVUAtqqCwUpwSI07c7ynPboNTZutNaXj2GGKePH9E1YPEtj2MuxURETU6sycXgdZJyWTzLqoC4JUrkdCVl8pj8QynEY9XKutcbbIdg4TNY8ZK2QIJaopaopBlToCSpqkG8fLe5nCYT6wL1CEqgiKKrMhAXsVI0JWyEQpGodRwaAAAndqKpxBQjUb5Y4Y3/y388H98OH5GPHNZtSk4yrOpo+S/oabg/oiLRZ1X1cENdx7+xxvWHzo0dNUDn9w7FL/5mot6y1uWn/6krReeN7Nl0Ra5aQP9g8fh8BCyIlobMoNz4CO4V1U1rspxVZWuqryrvK/CjmXwEmnRxwnWm5mkaNO1IeC5xdz+ar3NuccFpZqcQRTVWoEX/uG2vLfO1Tq7YpJ2D9UjOxZGQkgNLyeGoe1KiC2tRx321owEm/Yz4hQCGGWnSIIYFPQEIjE2xKjWenB8WHBvTg4akqRppaOUvgb30LmHXFAbhD+kRlSib1r4KvXAc/J+oUXUJ8F7a6u2rdyPzHidrJKcJGpaBhXqFj5AfBoDtJltaHMydbhSFQWOPiD7SDycIjAci8+Qtue9LCZxR4wm0PQB0DhaBQAAUU1Tcd2Zz6R/Eo/HrCKIrPHiQSkcOwHjpASRUnh3bfoM6eDU0TCDV1CFOkv9yBAePAE7Nze/W977shocPX7kznsP/8MN44NHT9xwe8/mZ33Jld2smD1r6/yXXt67+kJERGtgCvSPrKbg/giKRe47VL3vn0/8y81lVY3H48pVw2p805EHS2EnfOjvP+GE+S/eA5npbl1cuvDcZ33/C8+54hJjrQxG9IcfAkBgjj6x3oN34D24qnKuRvaQx9TC9/Zoro74CRutUW3CsQtOIy6ABVsM2TWcO5JNbXvgHBiUWiINVbBA86ZY48qlAV0bLLpkS2ECTFSGybCJc0rAVG8WNQh4KqsQaRmojbSQRIhC2x5J8LDvM6kHn1jNh4bZnwD3NHiMfXS9idrC97QDHHflyUhs20NWiYEJS4D25u1pkFdbT63ZzIoQ75Q32EJ4ldCtk8bXjSYOja29W0hDS5g871GtLeFK4VJEAYbiN3xUDWCBZtbkBo1tB2OhiqJBlFbbHhKm6jelZ3NtHVeiYQNqXG5SZRWChPKKkU8LLxq3znMAGqBHKABi8nbOYCwgggj84Yfglc+HXsHe77/p9o///tuO3nnf6MhxdEwSt6YzouMf+4eLFpfdnn2Dj3ymUxRFni097Rr4miebc7dPc1k/Z6Gq/vt/yhlbLLD/KLzj48Nb962sr41dtT4ej1x5fLh+fDxYceMhu3b6XUpBYiE864qLr3nec77sltVtdhaMBUJQjRNU79W70oVLNXZVFZE9Ru6FdOwA8ZX4Sri5aLxS1rM14VJ4IG6d3bq4da46ZGvho6mbdyKD6EVbcamgAAtbNn/zK172y6/++YcOHnA6cZqvAHMmv6Cz0CPbIVugyclkSC0ZH7R76jbt3pJCNkF9kvDdAnXJFmQKMjmaPKqnm4OQ2dhBn4b73nh+0DAzk807NBCvCiYc8NLXyXuMbgqT9wv1aUmjhmwhe61DT3eqLsWklMJj8WP1TmptezyyEk68etg+emx49dITjD9TeSx+KP6u8YlVdjBJ1Vuks7Zvf9XP/sy7XvuGk0eO1m9HOMmwwVFS4ssSLArCDx+L71M2Y7K+yXqUFRjfmvQGUY4mI5MjZWRyMu2vubHhUhibW5ubLLe2k+edLC+yvMiy3GbWWMhzsDayMSxHeO2fL5+/6bq/e/Cm20kkBMiEdiRdoa7J5rJiU9Hb1Ol3srxfdHp5sTg3N3vlhfAtT4edW6YQ/1lq2rk/fK0M4U+vh9vvG66vnRysr42G6+VovRwPXbVaRc+/0BqF3+0a2SsRx3zLZ268//793/jl3wrgQTRaxXqvwt77yvvKu8q50ldj5+K37CvvQziDS0sx4Ry/Du7gRLsnAwP1qukOYkd52A3PzmcwIXu8ELFKVjvNAiqAMebVf/x7F1971TOf8+xveOZX7T94QCeb95H4YX3uTxBS2ZppaqKMk4CnXtNvYP30+I4aqPb4cxQVlFXrZc4JPXjTuU9U+xBS43sirOIpTu24Ga5ocCEHNKF5D+cQqAncpYb1+n7hdLtdD3tEgegqkZJSYqPtVDBJZSKbH69MNO+1DeeEljQNpcOnayR+JH4obihcEy+hCHDn9uX3Xf+R7cvL1152xY9/8wuFGWrWXlVBczIeMG6jKQCAoB6sBrMmr88BWYURWaPzFyN6RQIhRQ9IKl4RBVtHd27bdcYURMTGl58ls2zZ2yyLzbvqFm/f98Y/GRw9nhFZNB41Q8qQJIQAEhCiEx6x0/GwYu7arFeNZ4uuY+8+c+vi3Q/BpefBdz0LFvqPNVI8TmsK7g9TK0N43fvg6JG1wfrqcLA2Hq6PR4OqHFTl0Fe1f1PLbD0FnKZwalZ98fLVzN4AAHkQ5eRD6zw7rsHdld459jUbkzj3ILqI646+PRtU8SBcf034VWNy4D0IMEPK0FgiS8YgoiAimlpBD1p0O+dcuBsAti8vv+/6j3zTM5+7/9CBDa/EkF1tzq6oTNH8nRpkDzgIAIg6ibmxw23UMhHfUbH20iUAAUEyqJyWOU/Rg0PbHaGxm68VRNq4rbWXYCO4N9ZsQZBDFiPbbkCDlMXUnPgGHQvAqfDeniU0XD/Uh16pUuceLpVKmKO2FZBUv3qhedcmHaWhZWrOHdSLjNSP2A/FD8Vnp6ibdm5bfvf1H96+vAwAOy/c3el2q+EIE7iH9BAbju6CMfdbIBqBxWlC8KUho2pASNEAkiqBBFhHQFJAQQzu+wIAyX2t3nGaGDgnrSR7Y2zmfZ5lhggAPPP37bj6dUc/ytG2jFJ4SOwvUBAJxmFpGZRVgiFzaKcq7zbdUBUPnYRX/qcpvp+2puB+uloZwq9/gA8eWBsN10fDtfFwfTweVOOhq0a+GrMr2ZdNa1Zjeh2BJJXwVUtnXbi4tXLOiCBACLPn6APunfcV+8q7MvmPV0EmzByvp57dTSQ01YeT1LO3bN8Fmkbv3nL14u6mjEy4WCKWGEJkooAbVPXciy7MO0V40tuXl99z/Ye/+Vn/4cGE7wFDT3LZ9JIEOZgwsMVTsCmg/CQwnZZ2D7obJMWw+AoEohp9zZTiMqfWmpxTQbbmvlvyUIWW1DKBO9Sdu3oQ1XgUESADQU2vNaybqGBpUSUbOXeYnCjUG0Y1OROb9zKq0eOlCrHUp0N2wvZLpwobj471i1YJp57dr3DZbtsR4Kxty+/8uw9tW14Ot+Sd4ryLL9y352aMVsZCGnePcrLB4BOFgeD20Yn6kxPOBQ2IUTSAJrbqSAAR1us3Oq4+AErrANOSRbUdeLxIbqw17IzxwtYYBGSR3Zu2XLq4fc/RBwVVQ9SfaDyep2MPARMiChK76Cw0ajLE59jP/tq74RXfBJum+L6xpuB+Sq0M4Tevg0MH1kfDlcH62ng4KMdDV41cNfLViN2YfSk+UeHxBDxZdwX+nT3Irv6CMJdQEZMChESHtolgTcW45HJVScPGJHznyVDsKJ1uXRry1MffXhBQx/6YH5/TmcvIZsZYIg9x5hUiTwEAiF786le1hT3blpff+Xcf+tZnf+2BQwehNbcciK/7Rwal1LaH1rumjwEiuRBb9YfHd0UTqGekuBvDqAaQFA1KMD1vGGrcEDnUWpVqL/u0+ujaSHkD7Q4ADGoBWdWG4W28U0x3CjX+wmRC6eRJwyTRFOmgiOyBoysnOncOON5G9vYBMjThbVpm8own0uKBJRuKy9C0NTY7tm1/x8c+WCM7ABhrX/zqn3j1t79YmQGAVUgktNKZMcSIyIBwcDQYsw+DVgHwKj7BuomuCaeAu0DUWCpAuK4A3JoDR6+eej8jOiRbMYbJs8+MRURVZeZz+gufOfpAOPMMEA8ASZoFSECKKJzeAqyPrOGEAADwwIMzr303/Pg3Tfv3DTUF98laHcGvvx8OH1odDldHw7XxcG08irDu3dhHZG9+aSVEUQc79RRILUKET1s6t3SORcLn2HPtQxLje2LzHvL2Uk50q2dv7cKkzKYNlu4bovjC7RL0FaheJY65bFZ5n1kbGmFrTHhI51xx6XlXXLLhBdi2vPxXH/ubH/2el+y54Qb2PsDNET9q0oyCzvJ04B4w62FEkDUaqiho+KVVqDt3kzawgiSxhhVMqsEN1QweoW4YG/4h0DJtQqYGd5Pcxlkx+fHG04VkmtieJZyGc4e0q7lhLUsSsgtI/ISoj827cEskcyrEN7SMtLTtG8B9JG7Ifih+IG7JdsOjMtZefe3Vv/6WP9y6vH3Dgzz38kt2X3npfXtvQ0RR8cwh9VBUOnmBrgJABwIxQkC9igFswF3JgJJKPAwHx4JwQhPeEQGgpoWPmnttJExQz3JjuJUJW07O+NBesMjTlna98769pUpk6qOEJ53ctfzdoD7ypVE2AETzzgMP9X7l/8CrvgXmp7tRTU3BvVUs8Jef0EOH1obrq8PB6miwXo7HAdMnkT227Zq0Ky13xvDtpTPbPHPpnWcGhGh70njSNobjVW0YW6ftaAL3BtnbcakTAXsb8D1w/QoKgCd9ecKX5/dmKucKa1PeBQXGUxG++2f+hznd4tXW5e1ved87b9mz57U/+bO33LiXvd+Rz+wvV+tm3CA9LLgDAMDDjVLDLQENozqeEBVUwES7c5xgwONs87QZgGlw17BAKeEk0TIeWmp3SOAOYWVJGdGARJ+DdO8N0dSSn58K8Kq6QdzZgDuoqNSYXoofia+CHrz1KjVPLV0BqMH9NJ07q4SefY2rnfksIFibXXb1la/4pVdfdtVVNjvN+2isfdFPv+JXX/gDQRJniVmldqKfKbp3rx1d8WVg0oLrpCF0sWcnEwwtFDH6z0B9tGtDcAPr2GgoFUy7bWe1LGLZGCIiMkyGCIOHPvN5s5tvOXlIEdptO0AU54MgAAMpJCed1ubwONn8gx7S/l/+M/zXZ4Gd6mdiTcG9Vfcflk/tXRusr46Ga6PQs5cj50YNrEdVYikNrCeXPqlvYZWzihnHHkAJCUBZJvhHL237b/HBh6S2MNT4NWK61Fkc3LourVluhPUqGruzRpsrNYb6RQcATBioEgXCnUWWL9m967KLH+6VsJm96slP+uP3vfPWPXtf9T3ff9eD+3smO+lLtdGC6rQg1VZYysODu8Z8Z0gtIWiIkkiETGTAY28bheEbHmF7PbhNu3MC9NaVFFEbej1ERk0QjwY1UhCoUYQe93vqKXHYCNhw7y2f+lbbLulO2yYBQ3ZO5bOA+yN53ZzKUPyKL2dtXimfv2Pnr7zl9y+96srTwnpd51x20TmXXXTgtrsQSchEQwsRL9LvdMzQhDMfUXXKBEjKpGg0HPYwgXtSQ7U9EoJWHhp8V1KVNC1QFaXGq0CUDVsygRIkRBOOpKqe+exi9kY4EM712j9TAVAAicMZHhCDACFQpJTqCKvwYVf9x890n3Op2b0M0wKAKbg3xQLv+If14WB1NFwdDtbK0bAqExXjxuzHYYg62bDHCeok1odf19JVLJYwRU9MOAiyb6zGOfpbSU2pR1j3k/kMraWYiegl1w7IFg77kBYJEI+Vw7GrCpsZY8JquCUS1f7Sppf/zq8a+znefZvZK5987Vv+9r0/+70/eOu/7lnz5a2j42KKDhk8BZvodB1oe4hao5WqOqXkKQUIoASpYU9BdDXbm2SXkw9NG+47Kc8DxLfY9jje9K3mHUCNEqMaRI9qFdNObJJg1lRMg/KnEcykseHkNLWW6IBWwmPxA3ED8QPx/PDgnq6gnp7FireMhU9yeUl3cdbml1579Wve/Ial7ds+54faWPuy3/7l177wB0fHVwDAsw+duxEeVeXx8RAQUUFAKxEiNopGxQgaEorg3njVgUDYi4qvhWiAYBAI7qUa1I+oAmbChYbEClliQyYqXIkIURV8WJFTqEL/P4HvGk8X6vODOL9teUJostEAsGQ6f3E9/Pi3TldYQ03BPRbfe3Bw811ro+H6eLhWjtbL8Zhd6ROsswtsTBnRXEqVSpLiLSF7uHE2Ky7vbym99yKRddCYpyPRTqB2G68NC6OSPc1LW/g+gew1iLcAve7rI+PPAMEfGIaussbmNrMmpk8g4tIFu178utcsbF16hK/M0vZtv/Xuv7hz783f8R3fUTy0cpLLWchrhwNMC03tzSaZJGEm7MNARaF2oKw71tCwG0SCFETXTPPaMnet/9/sqYYrGpV83Bqo+lMGqhbVq4TYWI9ka+Y9av7ixhJqi5NpfNGS/UuLkKm5oDY5M46TTz9kNxQXnDg/J7hvnEy0DBvWuCrQ+MX+G/78zy+88orP3rC3a37L0iv+7A1v/h8/d+Su+ywbScJEBRz6igAAoulQQnY2FD1/KKhiokglsO0ADZwCCChGiFeJdv/BbpORODXvrMJKXkwyyo/7YmEuesXMlr8xd626EigI79v4jthep5XWe9Ai5RDREFlj4KY7N917MLvgrMcUSx4vNQV3AABgGb71Q+vD4fp4tF6OB9V47F0ZG3ZXsh8LlzXPLlJvh7aRvW7hN9mOEx6zsxLPPestkhQlEU0FoiGtNjtKLXxP8piGc5+g9ZuGPSnrQ9KegOZEXcoKNFfPbu0VhTU2nAV3GL/kRc9/9nd/e9H7/DxXbWYvfdLV133sI8971rMfOHBgnatT7YWptX4ZxXCpvW1fCbBFLftySOAeqd5JWobS4LEuba7UPXvze84TCkgN2wCJlhEAtCgWyYNYJYPqEW1i3kP0XT02hNS/hzvbYMkrp52mpkPLKLTt7MJXiCOKzwnukVlq//DwtUPm7O3LH/y7j25f/rxph/ktSz/4e6/92J/8xaf/9J1DIyJiDBky185t+9TKQUQaBfWXCikbQKNiNKjaAaCFthuup5ciwjppE9GnaiihvCorsZAhSXbK0ckZQky8+E22c6Qabmjbm7ub/No+kQrvDrnSUuDx0b7lusVXf+90cxWm4B6q2vfQyVvvGY6H6+VoUI5HLiJ70LOXk8g+yclwrW0vE+Ze0lv0zKDqcSO4S7IP9C0r2tq20J/CpNciyNSnxwfQrMLGTXdRUEtmuehdNLP09PmzzunMbc17FfMBP+woZR5YpBR/6D3/9/All87t3tndvMl+FifL09XyjuUPXv+xr33msx88eLASDvxDUEVgEw8SNcoTGR0AkH4dI8muMBSPTUecwL2V+GqQkkhxg59wuNIYbKXI1mSwBbUfpHoVD802AADa6JRJFkL/Hr6NzHvjBIB1o9oYlrUfxgaSfQO4D8UNW8iucdKQPBPiyxUl3eEYFiaxcaWoZkIAEKBD9uztO667/iOfL7KL9750o2MnVu/af/jdf3/u2BbGWiJPMM7lG3edc8fwOCIdccMb1g/ftnr4ZDUShajKFw4kDMAEpquAEtQBA+nMKbkJowZTNptQXkhFKYSq16bKWI/SVb3wuZ35WwZHoR6itq4ELqjB9zQFqV0i0ucnpqjrLft6dz/YuWjnowkgj8+agjso88o7rx8MB4NqvF6OB66Ma0pBz96m2kXCoKz52gxU443Bj2XMLlNjIlC09mtqz5MJO4EWrE+07Y0wJuJ7jezxiMJORUAvmtvy3MVzv3rHRb28oBAirQAAq6NhMbQAMPbOC+di/dH1f3jl68YGYaE/s/vsp7/0Bdsuv5DMI+Uoty8vf/D6j339M59z/8EDksaZ9a58vQXaxnHTDCabjhgAGGQgHuJMFU8L7u3mPb5ZNR2Tvm2bsQBALYypu/XQuQd8hxg4F8A9uWaiBPudGCQbPdUm4DU++oZt1rYyp6WDjPc+iIS7Q0TT8BitUYHGT0VYrYImgwWCVW/NhBDiOduX3/95IrswH7r5zn/4/f+9dvcDenItd9AFtDYP68ozZHJjFvuzF209izAmxorqcDz+wAO3Xnf0rn2rx5zKw/bsKc0rkOJKtR2bCpAA2Gi3WVM0ajVEhDcGPoFqE1UnvD3vC2glnGazcZoKhPXkI7A04eULOlqSZsFtmIa0AHDyr/9u24+/AB/xp/pMrSm4g1b++D/fNKzK9XI8qMqhqyrhstazTzqEtBZTa7iXNtyrQg5Usg/RGRAGZU22Q7NZw6cBdz1N896alMaF2ITsArB7duk7d171ZdvO7Xc6IppnWW6yrFMwy7gab13YdGJt7fhgdVCVlXdBTV+xR1eNDxw/vP/Q/77+k/2Lz/nGn/n/tl92ET2yMdT25eX3X//Rb/zKr7r/0AFtd9DY7M1Du/Fs2Yq1sdIAVipDceHbrG1N3Ep/rfkZ2Og6kK5P9u8M7Zexxvd4CwJEZEe0QAnck32mUtOzA0D7ASfFTtR61iR7Q/GntdigbGE3EE+AIZz2NI+2tYwK8b4mfMQgYf0525bf8/kgu3g+cPMd7/n53xzcdm8B1DNZx2QdY3NjMzKZsf286NhscWZ2cXZ+pj8TbdaZAWB9OHjp0le+sPryf3jgzjff++m7V44GwK0Z9nS97UsMIrFhj207algDDh4PomKQmMigEFAy8IngHqyYC6AybCq1OvTQsKe2HRHaa6un+Ox7qE8Ijn1i79bKY3cK7k/4UoCRK4euHHk39NWY4/ZpYGPa9iC1HiZ8W57ayAsrwBE3NEisYoKKr71E3tjDttbiWxYCDbhDwndpdl/beseFovuKS555zZad/U6nX3QgL6L3JCIAWJEZY9hVnTxfhLluXg7KcfCxIYf1RhKyG91y7598xw/DpTtf9oZfm3tkU9bty8vv/fuP/KdnPveBwwdbBgAtSWKrD42eM23NeKBxEFG4Ul6XChFyNO2G3USGp2nk6zernp1CCy6hkUJOgHs8PUo3hr7YtsDdtDwIDQhOgHgL5RFaHBKknr3lJ9Nq4SvhNa4IMfhoiiqc2rk3+Ljx5Yo8MiAinL11+V3X/+22R4zsK4eP/u4PvEJuvb+jVBjbIZuTDcaNHZsVJius7Rfdbp5bsgQo3pPNwFooCkCa6c+A6nxVfm23+8ydF3/68P2vvvFDJ8thm5OJtElaV5LIz5CEQXq0ZlMLKBqa96A3DVko0k6hUgBRcSKH3bASiSxYuovIidVUe4uuqdO72qYQGE7FiIwrp2a3MAV3ADj56VsGw+EoxCF5FyUx7Mtmg9w3bHuD7HwqspfKAHrX6OSC7bCSjcOzCU102/i7pdXb2LYHbErNexilBpJdBPT8uc2vfdI3LPXner0eFB2wGRgDRNEsWwTAgzGGqVd0NAUaI6CIOuLM2E6aAaiqiB654Y7Xfcv3/ehf/dH8tkeE79uWl991/Yf/87O+5sHDBxsjFGx2cDZ07hsbYQBCLAhQoFRe9VXfZBvYmLqR/3eAexvfo1S+UrFIIV12g8GsbfkKb+CRHg7cazOZNsoP2FnEnEyBJiSXwuSj3dC510OLJDeK/ftZW7f/1d/9zeeB7IeOvO5bvg8Pr/RMliUv5Za/kMmMyW0WmJnc2rhHKgIKgAjGxjlknlO31x+Pn97pvH3T9pf/8/+5d+1oYwedpp3BN6yxyNfYsydChgyqAWVAM+H3Gdffgt0CqziVO0cnK+AodoRG9VjzMOl+o/IyuVZM6FMRYczGeEfD0YlP37r0jGsfAzR5PNUTHdzV87F/2jMsxyNXjdiNa/N0nbBQn+zcT4fsSfweQKRkL0QeKX1WW8E9rfP3Vueu7YZ9g6OAazfsefcl5z7lqWdfsHluPuvPQpZDlsUzawy5aQygwHWGNloyUX9GaA1ZNpbYE2UUxchedd4Wg4MnfvP5L/7u3/3FnVdc/Dkl8BCMCv7uQz/y3S++8YYbvPcxvwKj5AMCvuNGtj1SHIAGsEd2FSpQqITX2QUqxrY4mfaVU4XtcDpw9xvBXQCAAC1SLcQQ1RIEA8pPgnutudxwNHoYcJ80Fk6CywypIJsjzZqcVRml9YAhwjpOKPRrXWnAPmvt1ddc8xt/8ofbTjEVOG2x9/ffdNtbXvZT7tCJnrEZUg3oQUay4ULtiLtwlEEEQiAT/datgLWm09nS7b3p6d/68f13/M6d/3SiGkEyCVAEiTwMCYJgChyHaMomEGbUWm+KUSvrKpwYBa9HJ2IBSvEAeJrdVwJsLUxpauqDxU3tYBHeqQxdMAg69s97Nj/1qid4ON8THdy5cqsPHY7Izr7i0KTz5L6StJG9LZVpkD16iTAC3jo6vrszz2AtCqVhWq0OZG3LoiMo+NMx7y7BfZXEjpuy7i9c9tyzFpe2bVqC/kxMPzApAKGOMt5osRXl6EGFFuw4DFKIKrVKmVImJkMeHDry69/6kqXLdr/8939907Ytn/PV27a8/a3vf9cte/b86qt+5uYb93jvJUG8gtbLJqn5bfA9TVBpG2WH3AAJQNirevVjAAPYjtSwQO3O/RGAuziRYHAWnRLSYFZbcc8KIbgu5f4gWcR6FfY0nHt7Gjy5+MrpzIAAMzQFmQLNlqwrMcMINa241o4r8ZEjqMa88kBWZNZefvVVr/zl1zycqcCpdeLQ4d966Y8dufmujmKfsizFnlDrUr/7YdehpsomfR0wQjwSgAFjwungPMAzAM/tLfzYDR84UY30FFqmPUqtk7YE1WCw3sTomK+1TgZShK961Ur8baPjqiAgJbQGp3J62h0peg6TMkWIRxAGgLF48gSAqw8e4srZKbg/wevk/gNj9mETtWz17KVOhh8lZG9HIDXIrhHZDeID5doauxkAj2QmO3edXHjZYGt1atfpW1KZnslfc/lX7di0eeumzdDrQZ5DlqJtMA22YiWhWuIDGjlG4rtrRRoAIGBGlKnJVCp2+2+85ae+8QW/8J63LW7b+jlfvWBU8Cfvf9ete/a+4kUvPnzocK2AbJPIpzTCURuTIV3Q3XTP6CRQzMgOL5RXcarQiFuiAf2kpcyECUF42i616lmd+JHoDoMICr6BpGZLqFRfAjRWi60+feLMIzhFpkSOcFoQ0CpL446cTJfMucW8qwfmiKoNmkPj6AsKCsn50gBu3bb1tW/9w89pKtCu44cO/+R/fEF16HifMmsySxSs/FuRI+0rG/+51gGnKe4FICmYwpNWgE53btPi2Sqvvfp5/98N71t3lVI4RhLXHvpYX1BQTUhEiWwMUnCFa6XIYvq9YJUBu/3Venh3WCO+Y6t/30C7Q3SLhIDsIDGDF0SJo7ZqZf+Blm72CVpTcNeVQ4eDnj0YDLjJBaUaxE+P7GkxtZSI7AZQAQ5Ug7PymZzIADU9TmLeufnadO7+YTQzoXNn0O8666odC5u3LixiINmtbXh2gHgECRSqCGjIExWR6LzaUiTDJMcQ8ctiCPegDM3KQ4d/9Ou/7X+97y+Xtn9ufIdkVPCnH37/z3zfy+6+5bZxVZbOMWgyxoINM1UbY9vIktnUnz1/246P77/jpC+jLh4bU0lW9eqDFWUtfGw/bJi4JbTqcZ1qA7hnSIqAIfOhDe7p2xCyCtDAgm78+RBWtEKjXZ8WtBeUFmznGTsvGo9GxwdrvuX+1vqBGs5rwtMxgHmWdfNi92WXvOaPfnfLI+NhQh0/dPhHvv7bqkPH50xeh6E342CIL3etKtEkKqrN1kXEqIAICAMzEDVm6oElMgTGQtGZX1jcIfI9O6/9rX3/rCIQeBhUQWRUhvpCDGpVGdE2jsoa941T257AXSqRA9UAFEzozxXC3DvxM+lcqo3yYdEsBIYIh09GtCsQtEhW/MlDR77oyPG4ryc6uKsCLc6VK6utNaX4tZywBuPaGqw8lW0XCcheh8PdOT4xb4uOmixYMKYtzYBZ3HIjST1gI8p2pzTvlcq5/U3POPvCzbPzFLr12LBjfA6gINr8irIAM0QTygjvdX5CYjZO09ekTG3KkE4eOPyDX/ctv/uBv9ryCDxMQm1Z3v7b7/6LqizvvePOn/je/zY4dIxVNgQb5cZ2s2Ku28utne/1E0uAX7P7yg/dfdOqL9uRI5oOWWErirDVWKfaQCu0NmYhpfTF8ex83lXQlWrE6eARfzgml5h0snPqS1OjvSrYSaoHW9un81nxNbuv7GWF9Od2bF4S0ZXheund2mg4dJVj31ZtCqhB6m7b/GtvfuN5F12YF8Ujb9gB4MjBQz/wvOdXh47P2aJG9vZLkvYPokNn6jCi07qkj4dlRmIggvA1AC+lswxAIAJDYLPF2fln7bz4nYdu27d+XFtofmrzzqgWiFud+wanoPDJ9SJj5TvHJ0JwoyZ8j8fCNu0OCI3PcDIUq3kbqI9nnKE3jLOLc1O9zBMd3E2RbX7SZQ/dfe8pS6cbcPw0yF4m8QwChNjPegB41I2GXAnZXE3YxKvRRCYDg1JUccO5u1Oa967J/sf5T12anc+jKsbEPjjiHkRkD+nbzMAehJU5pPp54QDxLGGWK0knA6diGSHUsdrHHzr449/90j94318/ctCxmbWZvexJ17z5g+9+6fO+efXgkZCbXJgsMybPsszYIssyY5MpQsyE6prs2edccv39tw3YCahgEo82XXxK0ACA07XtAA2g11/rNaizt23/jT97swL86Au/d/+hA3F5EsOBFur+XU8Bdp24Huwim7OB+kCCiH2TPWfXZR2bI6AhIDUMMt/tO+/7eadyznkXYhRjBrrw3PalP7juXY/88FmXd/5/fPdLjh84NG8KmyIJJx8m1JlR8ePXdvIKyM7sDRsxWejZyddS2qifgZrSIyBCazfPzr3ygq/473s+MGTHqHz65h2tKqPasLKgSCiTTkGAigLqREbijvqRgRRAHibnCd+xgfKNtAzWmpkkmgQFFMiQCGnzky8zRfZFhY7Hfz3RwZ2s3fH0az/zV+8vJ+j1oGGXtKMkp1U9VmmCmnR7jbSDEI740Wbb9agWMW3Gt62g4tdWVF5rjtoiahT0v2y7bOemJRFBQ62GXaCOTRVNPbsH9sAMnj17H/Cdo48NC4d+TRodZLNE05JzQK0hueumm2/fe9PlT7rm831hl7Zve9MH/s/Lv/HbO0fWjnFpkC1RYMdFwkq6xOGYAos471D1advP/+Sx+wdVpZqW11P8k8TODR+ubYfGAqFZbQ2nUzu2bX/rR94f4ize9tHrvuurvu6hQ4fCz+f4NeqX2uA+CevxvwqwwfcmfO0XnS/bsgtVnXNqLBFq6o6lTiUCiGktIluz3nDLzO+99x3/BmQHgNv33nTn3ptn0tgZoXHfaSssJ7KQIkknyeCIWQwzM7EhIqaGalcAowlK00kUIhDmNtu5acsLl6/4vQc+I8rp3UEOo+N4CZ17EEGe6gEXvfJZtVQ+5keYxiHRIDQkdLT69wn7gZqWAcSQ002YKBogwlLZoN3x9Gs/L2uNM7Ke6M8fADZfeK63VJZ+g4VveaoqpoXsdXZaa6OygXgCPFANOmg9SY5mg5vrBs+pxK2fRufuVQzSl2/d1c073TyGnYJq0AYABmFMImR86Nw9eOe9cyFoO7jGM7MwJ2QPiCMq7axOSFSsKhCgAbSI4Pk1r/ypt33gXTb7vPuguZnZb33pf93/G3/+wZP3BlKFiGqZhIgEb29QMKzsKnD+Wd/5zV+5df6tv/umQ4cOOeeiui69UOHHnj4dCQEU6he/flPyLLvy6qt/+Y/fWHPZW5e3/9lHPvAT//X799ywx3mX8J0YJQiZNvzgDW42gLCB1s+ybPu2bd/1sv9Gh1c+8efvZCs2U2/QRxNQ9szOe8/esa/Yj72rmC+b3Xzei79jdmbm3/CJ9c69+pU/CZ6NsQaJMHHoOGHGEJVLmuwqRZhiXAwzeSLDbIiIPCLmbbWnKqiJWF8PclIj0C2Kp24793f2f5pVGJVRGGlD586tzr3eWoqEezSIR6c8Fj5QDQhQkRQkjiI0US2T/AxOfq1pmfauEyobwcLS5gvPfTSw4/FdU3CH/tKmYmnTsbXV1I9LG9PLSa6mRvZSmTYiO7Wb90r5mB8t2MKjhCnchoSHwCM/HKzX3jIXzS1tnpmLcRGa6BcAIG1+FWtwZw/ee++c95X3AVMCvoS8Jx895aMiM+F70yPXHEWicen2vXtv2XPTVU/+/FZC1g4f+8sf+unbbtgzcNUmUwzFnxwPC+9msqLnMzWGjN2l3W6vtxkyJdBCNYfxu/7Rb575sdf89B233nbdb7/5oWqd6xYeVVRryUp9R+1r7QWoLLNXXH31//eLP3vJKeKTLcvb3/Tev75tz97f+KlX33Tjjc55QWUlwZBjtbHijFVBW7SPASSk5bz/vJd9z0WXXvrAG//aHht8eXe7xQhnR6Aqx6M7oax86VmGvlp35ci7nEyP7O2j4/tf+/tH//YT3/mGX1x4BKrTdt2yZ+9te25aQBt4dtGgMW/mw60ZvohSOJBHRyNkEjLChonQJ3tGBIAsiMiDckYYkDZ+wCT6CW2emT97Zv72lSNpRUAtqkXJkDhegkygtuaPEYPtuN1S+aQvK5XUtkfCfeLYreBUsE28QKJlWs17bU+BAhaoWFrsL216NDHk8VlTcAdT5Jsu3HXfvn1Vbcg1ielthczDITsB0UTzjgZohStWnbdFO4qhRvkWM1PbhE0q3FUA4Ru3XswsoBC0DcQMiKACYaoH2iA+s7L33of0bedduuJTRms6JW8udTJc65IgPjDv4OWVr3jFe/7muuyRNe/i/f033fb73/ujqydOHnLDofgBu6F4VjnLZk+fWd7ZnZ/Ji+CXCQCzne6J4aCT5ao6rEpZZf+//vps7/7Ltkv3DU/eODh8oBoEwYlg3bzDBn4GgrwSMEPq5NllV1/1sl/46UuufFhNoc3sFU++9k3v/avb9u79nf/587fcsGfsXDAqkNP8dU025lF1k6HZXvSv7C2d112Yefe/lu+/aTOzzTpdm3thg5QZs4gzJ8zwyb1dK368Xo6PlcP3HrvriB8iYJfsGlddsoNPferOr/m2l//x68+98tJHsjgGAM65V7zix8GzyXITxjnNilxDrHNzEVZiEcZ48cKGg7k/1XLYcIzPVKN4hmsCMJ0aMkOc3Yhn/01bL/mllcNevQWyGofwHFFeg6+ywZT4UcvbFZPjv5705bo4U5vITOA7oWrNz1QqIAiJfoEG05uZavScIXQqixeeY4r8scaVx76m4A7G2me89AWf+tuPOZZT9Y5tTWTdv1NSPVKLBzBx6hQat4j1lcoxP56lTNuRypNpD+0+fSL/GqRD2Vds3pUZE5DdM+fkATTNVAEAovaRG5LdcQB0XyVyJv6RxAtPovyGtj3p5BQAwr7fzXtv2nvjnic95cmf88VcOXjkHS//mX/9188MXHWoGg7FDcU7lS1F/xs2775kdst8p9exmTUmM9YaY8lYYy47+7wTa6snB+tL/bmRKz2zt8V81pnPuxf0Nq356s7hsSN+dK9fR2sDMXzexRcCwL133AkAX/bsrwTATZs2GcT5+fmnf8PXXPTI4ixsZq940rW/8+6/vGPvTR9/39+srqyw6okTx1XhEx/7+/B3zrv4wn233wkB/rw/184sms7u3qZZm/dt0c+K3JjM2KwwmbG5MZv6s71ud3Ww3s0KVhGR7Spr4yEhXbawbe/JA391+I4Hx6tDcT3KBuKWj7pfeP73POVJT37hG35x/hG08Htv3HPLnr2LYNMKRQR0xZasM5LsyEocxqeIXoVECBkZCREZMe0wxbM3UVHJRKwRnFDZxs9YOAsUVWvMVyzt0juhFI5oDsogAeVroKcWFVO37YF2X2PH0Vkv2C9gHP6mgWqbf1eFShMJ0xqxbrgFCIyKJ/iKl77gER4pz+yavgQAAGdfcfH2yy+67TM3NtZgje9jA+vtTaXTGaGkzh3imCv80WE3ZNvJkBLt3jAzrYUdmZymildFgKfM7yDEGL7K7NkjoBEh4kbV0Pxp4l58YNt95X3lfcXsJF5iQkjI9kuzXE52la3OPcrmguG4VO51r3vdW976J5+9eV85eOS3vv5FR44fu79cW+dqTdyQ3WxWvGT7VZfOb+tnRa8o+nmR29wa6hfdzFprM5vnANCx2dLs/MpwUHk3KEsRLr2zxhQ267tqLivWXfnMFz13y/L2uU0LCPClz3zGaR/D5ysoBIAg77noyiuqsjztX/jE9f8XAFZPnDz84EPjP/3bGZN3bda1edfm3SwvrO1kecdmRZYv9GeKLO90e1sWt3j2htmLMPP6eKSq/aKz2Jt58tLOG48feMP+Tx9xoy7ZsfgZn8OnPvXg137nK6972/z2z4bvzrnXve517BxlGWLq07GN6XE+zIqsShquoBckFA9MiIhMjLVEFZIFcTwkiLKIFROS8ALKhjmN93F4I6IE+JSFs64/do+PLg7EgZ8BzUAZ1IJMRJy3OBmnfNyPt2S9AN8I4JVM5NmTRF+DHKz5tsb36MYcv2IkZwBRwSptv/yis6+4GKYFgFP7tFAnDx35ya/79gMHD0227b6WQpbKpfhTkb2Wt9tkWms3WKMg3jtenbdFkhuH7jh5KKp6qD1kGmdaAsyIXnHe0567bXe/6PbyopPleZZlxoQgyjoXOCnbkvCRY/S2Y479exzlsWNfSfwaED8ctJzUT9mPhUPs1ChdVrg86IbczW+/846Zhx8Arh08+rtf96J7jx++t1xdZ7cm1Vh4e2fmJ8572kLR6+edXlH0i04nPRFjLWQ5kAHCyCyVpfduWI4r70rnguFPCMYauWrk3ViZLz37237r52aWFh/lj8fg6PG3/dBP420PFEhdk3Vt3s2yblZ0s7yT5Z0sL7KsX3Q7eV50utETIvgeMsfzqqosXbU2Gq6PR4NyfHw8+MnbPvrAeKWDdtbkMyY7v1g4d3Hrj37wT+ceHt/X19cvvvAiGpZb8968Kbpku2Q7ZDtoOmQKssH5ILmGUUbROyw6iBmbkQmnGrmxWTjnSFesMYZMZky4YiIfj/XGk2euvC9dNarK9XL8t4fu/NV9/+gkbn5lSC0jB7KYaJ16yyHGa8BJX57TmatbinZsVvDRay/6te3yASA8wWDKVpzydXn79l/8wNsfyQnQE6HMz/3czz3Wj+FxUQRQ9Pv3fPyTY+GR+iA/b5HsUrV2UEPsS9Otp/AHUyf71H8H0SBtzjtH3ajt2RuDT4NHfDpXCNqA+gf2TPaSndcWZC2RCRv4MRMjrp/4BOU+cOsBwX1E87ZaxvFE514HPNVXfIv6dxCzpYJrPIMO2Q/EPe95z9uxY8dpXz3x/h0vedWeu26/a3xylasVLrsm+74d13z7WVds7s7Odftzvf5stzfT6fY73bzTpU4H8gKyLLqeEYULIeVERNESJOoOI8+KqMqHj+/9wEeXr7msv7QJ2+5XX7QS5gM33f6O73tVue+hOZv3bN7Nin6ed7Oil+XdPO/lRbcoenmnk+dF7QkxccmADBHlSJm1uc0MUUH22Yu7zi/mb1g/vOpLAViTynoe7L3r6m/+mod7anv27HnLW/64AJo1efrsYfjIURrpT8T4hf48JaK0gsbTZLrl0hMtItO+W/yYpY4hnDg6H3X6pXMLpnj/kTslLpdBxOXW0m+dM5NORsWpONDzuwtpZNK2pYjveP3dhvhawLgAGP5CtJQgMoh9kxVktub9b37lyy+8+gqTP9EV7qGe0LSMepbKVcdXB/c88A9/8PaTN931JXPLI+/H4kPresgNbxkeu69aA20cWQOr3lY9Tmhm2hQNNhB/UW/z3sHhillSw94WIweXq7D6WOvGzunMqagTdsyVd6GHYhKKYUt15y4imph0DhSNk0S+C0dkZ+8DOaMcI7mTj3xtQRwU5elbSaaVahDLqrruXe+55uqrT6uJvP+m2//5U5+8a3xyhasBV5vz3st3PmVrd3axOzPb6XXzopsXnTzv5AXkwcaytWSrQbMvUYynmquq5kkcHg3XAkh5lfHhE3/+gh8pLt75ot/7pdlHHPP9b6vVw0ff8t9+YnT7/X20c1nRtXnXZp0s69jQrecdmxdZVmR5J8+KLAebgbHp2ZnYvKvWJlyFISIyRIXNrDFP1rN/vpj7pXv+4Ug5ENA7RifsJ//lWTfddv41V5z6YLxz173rPWVVzWc9r1pfwnuURZMyZRUCZBRS9IooQoRe0xAy/KzaiC3Qg0FOQxKSTlnEpyTrmCAbSBsJzbur2DvxoHJuZ/7O4XEBpGaAJE4lO7VtTw4QV/S3sAajL0r2wWKUAESRDAgoYfQTCA8RWntVFGRLjLo1613ZW1rO+oC4KSu6lPVtvvqGd33k72780u/7tvknX4qqmGdPZGPIJyi4K3N190N3/+n7BjfewaLlcJiNRrMmZ+YxeovISB2yO/L+Jls8SfyY/X3V2r3jlYE4mnSjbVZawu21IDJldRoii5QZ89TFcz569J4RezilY7GnOKIYpKv6W+O5MPtwjiwqBjn+zuEEuNcy9rCsFJt6YZ/A3Qs7Ed9canx/eFubdAAwSACwurI6LsuZU8BdvL/hj95xvBqucmUQX7Dtsktmtmzu9Be6/dlur593OnnRLYo8dLW1R3FtU6wKQoAhiEfBihGxIkWWR3FGHA+KqHjJvQjLeO3mfW/81h/4/nf83iMMGPk31Mqho2/41u/nQydmbN41tmuzwtjC2tzY3NjchkuW26ywWRbcfqwFa6LtT3iCkKSEAe6IspZGJbxl//O8p+9dPfRXR25fY3e0Gv7rH77j3N+85NQdnHFZrq6sAoABbEue0kGarIbBKRKIV8TIeoNvw3rzOxB7DFEVo6xqSZjIkHjhYB0awT1EaLSYmaC/YpGrZ7beN17xKhpS0VsQ39xJsqzrmvwrFnd6ZifeC6Q4J0kxhGjqvj3guApE40xSFACco2x3Z/68Yi4n0zNZl2xggVQhnDRkSPauA3e+5g86/X6G1L3mwrNf8LXZedvhCRm598QDdxa+9+CBP3yPv3N/Vvl5zRjYd/pdskcGq77kcJYa9xuBMjSMKqQ789kl2z3kBg9Vg0q5Yd7jSmq7YU8RP0QGjSWySLnJuln+n3Ze/t4HbqmCUD1VfY7Z3ngsyHTJeBEnbNkHeGUJbXvyTI2q+TgEkzZdE78GEiaKZJyICxB/ukhu34BFVNGl3jCmjz74wAOnfUWrcfne6667Z7xKiN+15bKt3dmFojvf7fWLTmGzIssisudFQ1k0JgohREfiFUPABoyxYphNbjPPHNYpPbNByo3p2iwcmdYOHnv9t7zk5X/1+18MjvXkoSO/9S0v1sMrszbvku2YLE/8WG5sZm2kra3NAkdNySM3PLWoNqG4B0QI3PAQBqAQ8exnOt3wxl2hWzebzh8e3HNfufru697/db/y492Z0/xuhreAQX3rwhBMioSVvEo0hQ+wHlc3BWM33ExQIQYhpTFsRHYyyIYMEZpoFRx7iHAY8FLzfuxYOmg6aMfqBePqUT2N3zDKK4z9hrMu9czjqop20CrhbQ/GYBp8HQFjdomCtpTvXcx25nPb8l6XjEHKkKiWnKGGuNehd4sFznd6XVvkXjOLds+9x2/9I3P+8uL3fQPt2hajSJ4w9UQCdxG478j6W/+G7znY997ZwqFx3lcMo6ryzADQt4VFM+AKhcPcM/yCGiSDkiEt2W6OZoWrE37cjoKrjWWa/GWiEPoVAhMKa4s873e633v509925yfLcYltnlE3mqJkQKoQ+m5DPoReMzGlXzlMfmSheWfRCO5aN+9tlA8u5+EKOwn0euT9J/SXLZebdvgfADy0f/9pX1dFuMevDaT6moXzNhW9ubwz1+l1syJ0tXmW5WF2Wve2IfFnYkcmnJ1TUJMCxTJEmbGe2VAyoEfKyHRsFh7wiYPHfu353/uKd/7xwhe0fz95+OivPP+/wqGTC7bTIdsx1hIZxHASZpCCgtMEUCcyYWaA6UIxKSW5MWMy4TKgCpmCSGZtZrPM+25ezEvfi1Tsn7Ow813H7trn1hRP/8DCW3DKwVi8kkf1KhQa9gCdgAgSVCUxNimhZTRPVlU1KdrXGAmvMJrAyRDVDl/R+U5EVCrmQMt44WCjliG1qHaUU/x58qL4rgu/pHTl+mgUfggCNr4C6dwAAAPEo9aCGVKQ7Vl/zuQzJqsdEmqDU0QkIIvUNVnHWCc8KMciSp2uEUUDBNh54Lj75bfb85bNdz4Hzl564kD8EwXcdXXo3/De7P5jfWZvswpARByDFy6d88Ij71Qh0Ck5GVVgVEQhhOBAnSZUmJPpq/UmL9WboGePzTs1A64JZDeZMd2iM9PpLm7d8p2/8lP/eTz47he+cOXgkQ17lpHhSdqbHUXfidiwTAio4QBARMlEF2o/ssRdcO0JpRzpFxWuu/WA4yKuwfeJvKcmDQriEIyjm7wAwEMPPHja1/af/u7/rpbDWVvs7m2az7tzRbdjs3ZjC8bGiJ94QcD69xTS3mEak6ULxYgRiCkTkSgICwTUMdYLd8gePXD0Nd/0XT/97rdu2vqF6d9PHDrys9/0XXr4xGbb7RhbGGsSvRYfBlFzJEYM60DRTLEhP1pXIgcXtioD+hsIGhVrM28Km811el74Yrd5YeWB1XL0j3/398/9+ued+tgeevBBAKiELVI+CfGs4qMoMKxuJv/+wHUkJFUCFY2ZiGEVWUnUGFFDZASJyAjVER/tFafQ4wf9VVBb7ShmMiSJ4J6cNTHS5GGzd277lj/9s7ctdfp/+uM/D0eOAoCXdOYaH0/sb4K7KSAhaI36s6bokLHR6KblW51eZUIw6WX3wutVCYhQAgsrqDVGFQygefAE/MZ74KxF+P6vhbneFxduHh91hoO7elZmOnAS3/w32bqDPEfvjCqAV1BO7LNjDjpFmtD+xqo3L7CVHleQcSyJkIkqhTQ+jZ17ZkxGNrO2mxezvf75V132gl981dyWzecA/O3HPvp1z/nqowcO9shKkqNipHqAAHMkJ1Kyt0TEiACiSuF6Kz9Haz8DkZS+LSwaMD2YDUwwMA2yh7Z9AtlbnmVxtSoIZqqQh3C6dtI7v/djH//SzrZdndn5rJgtOkFUFxR1ob1NRrLJl6r9g1JoRW1fWL/y7V/jFCSUptnhKGtsIbbL9uiBI7/yvT/8S+/603//6gp7/0vf90PrBw5vtt2CTE6mBvENwUbQTArbz0gnrtSUc/vDBACEQGTSDld4uWaL7nzZ/S9LF98xOrnnox9/1n/46tMK9hGgUsmUK6WsNVb1KgYwsDEIGBd80hWAFrJjk/MnqkJqVA2SUTKIFJB9ooeAIHVvmBn2TrgU78VbRAl5jal5h6RqH7JbWt72wY99ZPvyMgC8/E9e/7ZX/dJde24SlVFVIfv4qFAVUGMWQstBDIQQo2l2wP4NHxysXdLiDeH0dOwqArREGdvK+yJjkeR9dmQdfut98KJny/JCiJ38AqLN463OZHB3R08efNsHj+8/cLWfhW4PLIB3ABi2PYNXIteOWvWuptb5y03cT8qnmXA1IYQBu0NueHF3MTEzZFN8ZRQRW5sbu2Xr1pe8/hfOuvhCkz5M25eXP/DRD3/TV/2HowcOZkg9ysIkqhbkWKQOUinechQesCpJ08+GasA9LaGwRmtfTsjOk/S6E4lqmRriE8q71nw1/FF7KXfH2Wed+iJXVXnLvXdnAAu2M5d3CdEaspQoCyTCZBGeHnKLktUoldEWVVub1MaJXzoBh0hHxdA4QAyqZzIdsg/dfMc9e2+94Nor/52fmXv23vrgTXcsUBZk4xtSqwgnnkkdqdRkb9SpRiHcE1IkXftPQ6XTEUPGkLFkCHEu785Xo3xMt9x7d1WVp4L7jrPPOnTbilOuhDIM+E5ppkoOpOncox9LnXQRryimZhlVVC2pqNSZiymKD+tPWus9a5YqKuGSfcm+IJuTAYHg/KMIYRA1EOeEt+/Y8d6PfGh7Cvie27L5pW/81Qduu+uNL//JQwcP1MfG+AgxZsmG+7tjfGJb1uuSbT4REy9xY2UcXt5mUxfiESgu9LEvXZVbmwljiAIvFd7wwVv42NKuszZ/x1dnSwtfdCR6jOrMpJ+UeXjbfbe97LXl9Xuu1AWYXwBrARFEoV7QZ89ca0iYG1VGvewH7Q0v1ejNtCE0bsZk95SrCmCJskjFUFivz63t5MXlX/rkH/vzN55z+SVmsk3Yvrz93R/5m207lgEgtF1dY2dNHjZTupSd9GUlvmQ/Zl9x/HUqvS/Zld7HC7vSh9NkX7Er2VfMlfhKwpUmKTA27KcgPAh+AACAAElEQVTr2Z3yBnLG1QZqypWKAkR3p1MKEffdc++uztxsVuTGYARBMhiZlPDiTQKcJMuEdEVSGFAwd5EwJG4FjER1c90zN67uBdkOmZErf/t/vsY7/+/52Hjnf+unXj1yZY3s6V7iPie0VHmQmoAgJARpxWBtfFLpmbYPYGGK3hw5AAEzY+ayznmd+X333nOKd058IYNbY4j2jUffU7i1+pjdqMuFw4jFa9x4SMtrKRGe/YZL/HTFiy+9C7ekP/Kl8Ak37pDpkg2rWF2yiFipqMK2Hcvv++iHlncstx++sXbXFZe88u1vuvJLn1wURRbOXVKQd5hXKcC+cmXWnCLKSmiu9flehPX4q9ry1REOSyRhoc/7cVVVzoF30d6y17/ULq1df+OtP/Arg9vu1UmBwxlTZ2DnLsfXDv/a2w7feLsXPnfHTlrYFLMsVIC9b+xW4nvv2dd9LteAUnMEdYhS4wzTAjkEBSjFP1itX9TdZFoke6coLrr6im/7if9+zmUXPRxdsH15+Z0f/uB/fu7zThw8XFtq5GQyNJbIqZTCBn0MUK4NOlJ4PLQfYcu2uyVU17aSvWHYY5/etO2VipuI/66/lUo57Mg89WlPO02ynejlQztri16WR4o2apuT0CKcdqtEr8HwkpEm0duE8VnKkEoOVdGauI6QgvpYUZM2BrFAuy3r7b/p9n033XLRtVf9mz85d990y/6bbtuW9Qq0dAq2BvytAT35scQHCcIgBEIQnN1ql8LGnkXbRy8Qic+nfjMRECAzZjYrrh3mJHrqA3jq05520x23EUCA9UzIImXKTskoh5emCX2tCZn4AMJklwRBQ8gGqRE0qAZDxqkYJAKpP2OtM8SWm6loKT5cBuwKygxwyh6IILtlx/L/+fB1dc++oRa2bfnhP/rN+265/c9/8TfuvPEmLUsN3jioAvBQtVIKW0PaOm+u+63aInQiIlGbdDMvYikacjj2FRvLxno/rkprjMl8wHczM7d1cenmfXfc9t9ft3zNpdt+/IVm89wXFIce+zqzwJ2F7z14/NVvOXr0yMnRen/T5v75FwISgAeRYHcezLVd6nYdex+14RIJa2iyLOqPjtZ5PRqdHeM9pv+u+PFYeKno9nrdnOy1z3z617/0Rbsuu/hzssDz/dnvfdkPvPHnfqlkLxh1YKHRHbALi4hxdTulULYj61NWRzrwRC/fZi+ptYsUd7sDLZNyt8UFI0zlult3sWeXmpCJxuWnW5t88IZbtvXmZrXAlMyKDZ8VEyKw7mEZQT0ogdSJP3XDmyyLmSVlSLFEFVB9xj2ZLxL/mxEVZKqy+uVX/fQfvPfzyI1ql3f+l17106V3RWdmwzOthYMNYRTkp0l7ysxMZJiDCjE+rzA9bn5KKwdRBJp0W21OEREzsrO22JbNP3Tjrec//SkbHmRM/QYgwEolU8mEK6RMhVpZoxsfelv7CGpBBciAWol51hxhHQ1Ki/VqLY7WuixQUR1zAHd2yjCJvww6a7KX/NAPLvRnP8urbaw9/6rLf+Jtb7z35tve86Y/+cz1H/cig9FgbTRc5ap5o+s089pCZ8OV6K4jAlT37F7EowQBkvEmI+OMd2xL53rOQeaDGHdm53l46IETx47pZ26Bl//G1te82J63fCZpac4gcGeBN1w3+NTew8eOnRwORt5dde6FZGxsCZ0DVzGHzAROERaeU5Jkam+To0VrV3PClamOymtlTiuoAt0+PvFtr3z5f/n2b5+Zn8+K/LPAunjmslLQu//x0//8B2+/d88tXzF71oFq/ebhMSAwioIgqitcbpIihSakU/iaH0g/Lc0jm+g+aTl1tCBea/VLurQ69DamB9yPZI7YtJC1OL+pKDobnsv44LE5h5S1WzyAVpabF8lZAGunMwpSvdOAOzN4r7WBZcR3rt+jRJ01sSI1zhdoNtvuvXtvvWPvTZd9/rlRAHD73pvu3XvLTtMrcII901aKSRNQFwIL01YBSRx0U/vUgtqKoARTLCEtS+NCf4L4OH5QBCDCOUfjg8c2PMKi6Gxa2GSRFEQAI3umlKkEUy0gUIj4HtG8JtkTLyZAGvpfJEE1SKFtZ1RKGxs42UAANCcr4bcgIHspPBYWleAKUAp7kSfNbD07n33g9W//y4/tecpLvu2Cp38JKNgip9ONLo21u6++4odf/8tVWQ5W1v787W//hde8pt2wN0r8UwCdWy7/qaGhid0uYc/kTdzW9sEbtSptFsPljc0u3n3p9Qc/Iip4FPKfffPSlz0JXva8Mwbfzxxwl/sOVTfcduD4sbXxcL0ad+bm5xaXQAS8B+egqqCJsHDJdCW54CrXs8e20Xn9weVWF1+fDHLAmTQjE5E//L03/ef/8u2d/mcTWg2PHN/72rfc+JG/P+7LUTled+VQ3BE3WuFywXYq5QE7EDdr8g6akXiDFNYLQ0xrIj6gPeyCljt8Y+cNk/07BGZG25x7QPMNzburE6lU6kimIssveco1G5pi8fzJT32yQDNxpKlHuwH4mAgxEtgTkJdwUALqBT/66Ffsfcvkskb5SUOCRiaRLKXKcfWud77zoisv/3xzo7xz73rnO8dVlfdm49NoHTU1vbwsIpQ+IcJeKMB6XCsDzAKuqgDJBLhreqYpDdGnC2vq4FPIBih0gD75yU9e8k3PbWOizeylX3JtkRdajUVRYvMehqsUlONaC2OwhniN40oEQbKogmoADahRTIQMGtRGFwQb24d0hAuvg1TCpfBIHAGMxROgRVywHQt4xI3G4jf5zvFPffr2G/d2imKz6Vz73K+86se/t7/l9HZvxtqutSurq3/0xjeJSH14jKiN0TWsDeisrSstfBclURVRptTCNybYpjLeGmfLcRTmIi4sbO7MzK6vrlgy+48eyT61Z+bea83u0xso/T9XZwq4D0p57V8dPHF8UI6HVTkW/6WXXUMAwB5cBWUJVVk5VzpXeZf2p6PXSr3j0+7fE0WTEg9ggqVphyG01W5HDh36ge/6nndc977Tgot4PnzLnR982atPHj9xqBysczUUNxQ+5kcn/HjALkzAQpLn4Wq0I+9bJpNO9Q1K3VJh/evXwFAD7qwq0DyRll2M+nbbvqF5byA+WYapZCmPqdfpXHLZZRuekSvLw5+6aTGZv///7P13mB1HlT6On3OquvvemZE0ijOSnKMsW5aNjW1MsE1OCwssYcGYuIQlw2dJyxKWuCw5mmSwl7wsYDDZ4IDBAQdsSc7ZkmZGOczMvd1Vdc7vjwrddyQbB8kj8/3V089Vz52g293Vb596zznvm4LcoBDrHIWeKwAAnbrwqT6CZuTuGupUSfUsytD3UGferVAaGTYHkqOao1uT28bLsryv4F6WZWfb+BzdKkiFvGeDBfI7scw0WksjEQYBlmYJjRZRLFPBvT5SJ46D4L71DrfONXmneFwbLl9pyrLQPYHCksMO68sLU1UaQSDUqmbClVdqARHfDuYnRdxPKkYSCRklIWD3EE+ICjm5EaSqMKz5nFgtAyFy7zgz7sx2V41WkxrJeb8kRAJsk56lO3N1uzBqZlVsRNp6zq9X/Omyp5/+n8NLD95pCG+Nee2LX7p+bF1MGPhrGqqAnHAopY/6OYz1jelqUR1JXV2KWSErDKpKnnlX1mgv7BO7LkhnDz/y2N9e+JtJU+aVXrtp494f/X7/p1+DM/4eCuH/LsDdMvzwsrEN67d3Jieq7oQp+wdmzp4xCM6BNVBVUHasqUpTVbYK+B7sLBqKK01uuob4OlHjoInp7IQdsG/+9p/C3xIrr75m5TUrjjrmYVM+Y2ds48Xv/NSqy6/aXHW22nK7q7a7asKZcTbbXTXJtht9WU1U/b1+cvOyvnmx9B5VLIJsxL0pHo4L2NpxlCPFlOyWQvdpLycTS2J6Id6IK9nFhlvUSBpo/tCCKQc1uWFztmkyPfCSNmyM2RtdMAIsooiJmuhR69Enu9Gm2UgT35OsQp30lkD1ukhJFaTO//kv3/XhD9yPSXT+z38539drJ0X7ugS/pwzDsbNIxI4YyfXwF76NUyn2HU9Yg7vnkiIHWKt1BpGWRMCnOaY3T05u2Fz0rgLnDy1QoaTErw6gZJcjVULQpGUCFdOofQy0OCkRhah88B4hniQG75LAvXlQdeQuIE5kku24MxPO3NDZvN5Oxi7uYKruA4gO2z7KtrpylipKdo752y9845FHH/2YT/xb39DUduKV16xYefU1zf80GEihn8DkpBGkN/A9ojw7CM4kVlhF5l0hG2crIm1VFXuJiQihk3uhCIA5A7MGZsya2L4tUzqjyZEN6w7+3LnwjqfBQ78E/u8B3O3tI1v+8MdtncnxsjNelV1nTzx0GfqyBGOgKtnH7MZ0jSmtKW3Ed47MTKRlGkKJHPQ6oK4Qtx4rk6BHvNubXYls3Rtf/PL//f2vhhqlAp2xjb993lvXbNow2t3u451xZ8a5mnBmgu2kM5Nsu2y74rykn19lr66279eapRx62t1rRvZE7o3RqCjwz6HmsqPBz4CYQK/H4D0G7FWj/LHDFgB0LaiAw8PDO59Aipyx8XES6X521pfno5eVBd9mFW6t+JSKpIdwILJrHiaBe+0Bm2QvY5xbP8MgOY1Ai1RvKfq9GgiYo2JwU/IrzUyGY7aIhEzIhM1HF0bCXJjZKdbe+xtD5yrW9E6i7F3j6WVj8B6XBcIskim908NYODw8ccs4A2kAEalAOuwISUCEQSi2gEWsD++jCAl7ZG9CvMSmMEEKQA9TTqD0RO5ghSecmWCz3VV3VNu8haQVqUQAIEdlKGr8qjq+tiUPmFxf8ddtz3nz0//vM018HxsZeeOLX87WIQJGl9yk8G57IJ4dohPc2av/YVSMFlkxEzolqBiNcxVZskSNTuO8KkEpQCSlHrH06F9d/PuJqtREelLddfUVQ7c9LD94r+mFtQc+Hvrg7lifc8XkZKdTleM+bO8fmNM/A4wB56CqpOz6aL20xlhTpTqZIJfY08A5RTarjt/97Q099Sfpx+IaNtwU60fHPvqO93ziG1/xDHVn/abfPu9tazdtWN3dttWWHtwn2EyymXB2go33xOiy9QiuYrOMQlxXTeg8lC7EbskYuffCu/TS7g5S5F7Dut8xNffSUxhT28YG1VZVW0ohHbb0sKIoppz7uy67uupWJFGkMHYMWHboat42oZ5Cqh2Zo/BZA9xDW1lQsgz8TCM1EtkzV8fRTbFi7iNdIa66/KqHn/yo+zSJVl1+ZUGqj4gbyzXPaDVYOCbB4DHtiwUdNvKnIsQsrNjnGagpmQsN7S3Hzrrgq5XwPbDDXBewVt3yrr9cM7hvT+NYURRLlh522623CggLMpIGqcQpRkbFJMKqzqAyCEoT4gPbHiAeqd5BhUQiMWPfc3KSPLU3/q3YTTgz7syYmcyAFIKXHGARBjDCxrETdpTWkeysWGGjWLqAm/Gc57z5GT/5fGv+bACwxn70He9ZPzqWVnME6KWnIycjKYq3IkpEQYOQqV/ZIipBK6SCD7jnmpxC62N2TcrXzxDSZEl9pAAQtJ7bP2NgYMbE+HZVUaGzTreT//QyeMsi0A/tzOpDHtzNbSNbLrt6ouxMVuWkqSp2S+csQOsAHDgLZdmtqtKY0lSV8f0+JtoShZg9iN/2kDNsIbz2yuH2+g6HomXRsUwitdjfev2NZdnV2YDbvP3Pz3/Hms3r13a3b7fVdldtc5U3jJ5gM+ECspfi9BQBYUBCvKvaPqAyn/JikKQp3zBeqNUSYowZI9mpkXvYMVN6lJiryAilL1VgY1ABacBWlr/8Ta+fQmQ7a0duud0Yk6ksadrYSMjUH8xnuogVB8ibkg3m6N4ZuGwP4qkRgW20GeHmAstGd8D6MH2Jamk2rFl7X2fR+tUj0K1YtAsdVtJ4frAVRkESJEYLDhEJXYNwicBN4oQVcdLLbShFBAq/Vu4Mz7BID7rw6IqpBTHWrL3l9qXWNsuudJa94k2vP+83v+tUpafdfQjfZcsoDCpWiwujYgKO4bwEFjtSMWmnjtxrfgZTf/aUVg8BBumwHWez1ZV3Vds1UfouA7hYaDDJNiau6nSogCig1d1tsBn+8E9vfeJPPqvnzCzL7q3X35g4xkTcN4rWGhAPKVQni6IioIfgPaG8IDEpZMuOEA077Zwhp8kq67umEREVUYEAnBHRQXMX/mXb1o41HVONdzt3XvbX4duOe6gH7w9xcHdcfvvciU53ouxOmrJjDYvMKlpgKhAWYztVWRoP7pGNscFwzibICLDunEyF8gDo0Kud3SiUtCIeasMaPM7OTWPrN65b31e0Rj5y1o0bRkY7455k9zF72JyZZNtha4UzLzrWEJhM5pO3dLce3PbqgpBchncg3wEahcaxWmYq5+53pqRPk0lsyVyJ872yOkkpIOWklh911NIjp3b227LqbB/35RMpXWGZjXPJCSK0BbDEsD0G7r4hKC32vTBOLUnf4GeScWCULA4e381lFojvTnAiztovfPPrj3/es7J7nVM1xnzxW1+31jqlGi1giXkTy0yAtvYziuq9oRAmZhqINZPPK9TCWw1bDEkPDFcfY3LLah6X37rbttuymlJTu/TIZcuPWn7l5VcIx6J1QQYsxTFHTOcA8YJKSJgVIzDWVIxCVMhBTEYwdDD5RgpJz910dJD8fhlkwplttrylu8XbAjebibzqryeqKnGOfd47nCxy4Gf42u422AhLPnTG/v/1+o3r1m8aW48YlM4IkUS8vlo8D4GWseFp5IN3VoIO0IlYEBJRwE7Q+lWIoBO2jIRInnlnp5z1sN6YgYAAec5AKkMAxK4zk6Zqm3KyMzl+5q/nfODlD+myyIc2uEtltt94x/ZycqLqTtqqYmtFcqWlKlmkW1XdqqysrawpTRXYdr8Q9sgeje5qTOfkbtND1FgRC9KslUy/EjxUe5sBTVXecv0Nc/tm/PHCC9d1x7e5GLOznXR2ku2EsxNsO2xZJKgE72DtlIrS1lbjKgdE1LFahhrgDhFmesAdkkFlb80M8JQepWASK1x5Fb0gYkwa0CN7Oyve/pEP7LQzaGo1TlBhC1qEsbiCHbGXk43xLEAjck8uP75y3NaS9AHcmx6Bqau+CYLpSK3wJNuB+0y5gyB0nO2nzDWeFo1rjRTVYhBrj6Da7IKEFSkWb3bhNfenPMZSk2ei3W1M+RiXDFXYZ4wT47fjR9WZfvtH/vNlT3uWVKX/gwqFAdEbVvhq9AjxgsKgQksqKSWokBWil5GZiu9xytWXplnhDt7vV7a6ck01nqFKhsDNzXlvRGAEciKTbAiAIpISVD460d3xC/940YINL7rl+htMVaYr5m8lRvDBe+2tKuSAXQB09J4kqhG228AyxZBL2K+0CBwhKodRW7QGd4klXopoTnugYqsAO9ZMVuW47rZuuH2wMtQu4CE7HtrgXt21rhPC9qpjTMVu/oxZBapOVTFzN1TIWE+4lz5sT1YDzci913bO9iB7bzgfID7o8CFAszo4xtfA1n3u3f/50re+4a7xLZNsJ9gju5l0nmo3k2wmnZE6aZksnGqB+ATuArCmmkDENurkJR8zq3VZJAtwCmBh54S78/Vz0Rq7GbNHn78gW5Z7k2Wk/lb7gEMP2en5v+kvV1bMOTVOFDOhA48IKrlAcChUiCqyzfrAWCUS9CwbesXOOg7WgNzjARtzJB7QAwT4LEKRZy959vPufdgOAFmWveRZz/vqtR/3T468pyxKPCeDDF7rC2tkT1qWnpcnRUzhGYY7PsYgNBInWeZ0jD3H1VCJcDf95aqdfuADDz2kv9VnrQ2UC4svBkUQJ9wJFI0wKklRPCnH4mFdISpgFWxXOcy6iPLerrxZAck15y4dtmuqcQDIQsVOiNxTKQuiIAgKeHMQX1pTiwIhKIcaqcX2zvHNv/vNb876zJfEBo4rwTqJeFHLeBuS9epmIo3gXXrCdg/xXqJDejZkR4jkiNDGulX0V82vxDSpQun5AzPHtm3pODNpq6Lq9nfL8s6x9qH7TDfI3f/xUAZ356rLrpusOl1rJk3ZZWOZF/UPltb4tF5Admcq62WPjJc98opaJhqKGnE2qGhJTxQPjdfGLdfUY2oYNARZWvArUMDZW8pbPvatcdudcGbC2fHAs9sJtpNsJtk2kJ2UT6UmdyfEUHQcLVXvKrcT4sKsLyI+JpSHyAXJ3XjGN8P2AIKNaL2MVAxF40CFmBPlqDy+LzlsSV7sJH4RgIp97Q1ZVA7ZIlt0GNS4fUMjO1G+eqSZTa3Z6kBGhwIYl+J3YVeTMNzA91oSJxWkOn9d2BlhzPK+mTPu0zwCgL5ZM1SrMJNlWhkkfiZ41BFEiIfGssMju1IiTkgxKYqSubG+vykVwQLco1tQG2YFxikGGYZdxayZd/pp86I49LBDr7r8CkERUIy++pGdACI5ka44ZmASaRA1DpWq0ZyUsJ9pIXgHVo3+56bHb5RUAhYZMRNrqvG9ixlBkCBG7hgj99AsFf1REdiKTLJJcvcEWKBqk2qZ7g0f++asTmdtnA+ek+FgaSAcmRkLrASVsAJUgs1XAlQxbKdgK4gxZsd6xeDZGDdV1dNfS02KRfaeMWft1k2ls5PG9Glbmqq85NrWQYvxIWvR9xAGd67s+M2ru5UprfG6iRYkI9WtSiJyzKUJGmGVszFmD4qJkcANMWDS0uqB9YZSdur9ae5AmjQYAJ0AVAxRSrbbbBmCdDZdX+zItsNmMrAxsdAwOD3V2NrMqfr77YDWLARYZzrej4Z6Q3v0dj+NZtomyc498XvNuZfiSnYAoHtdYTWSj9lzpIXDwx8648t3p9aycWxMhz4alwlpISMoLlj8iIhj0iTO+z8QEnslxPovJGHfKCDTq1ecbAKFE7KHlVakL2xouQqbiOOdsRl/Yy6JlGyJnUEy4jfOgB0E47pawTd4SMRCH1Lse4J6kX0n2lvRhjRxUDUBJZz6LQynmiU3OTq20yPRmf7wGV9+5ROesWZsNIG4BSAQF3CWjThmEQQmYRZBxSjh+R3JGaqjeCQkFbOpzar2RPQxyHZnMqQDWoPQgHVf3IKBk2EUwGgLghgctoxwh50C0kgZ0ASbltMFWgVV14fVflEkkGCdBAmEAC2IEVZAU8E9PJa4jtYBycdbYd8zaSFNQoCERC6o3GNciwCAJhKAnJQD8EqZpTOdqhy/dfXMymL7/w/u0zFKazqm6lpTsQ2+a53xviwnRMdcWWtDf1otE5bq6mqd2x2sRJO3XEOGJUmn1sKqqTam4ecQuhL97O6wnXDGb11xEd+dDYItno2JtMw90O6RXteI4870GvIFmtJDicf0xMw0w3auE6pciivZVv5uiSuG9F/nGML2xUMLv/bbn81bOHQ3p18qdswuRzJIFSqNTMi1C4SQIuVEelwgplZwSrNLKKpacpDkltrLOyF7U30+7ocVmGEnoJef8PD7OpGWn/BwCwLCuf+DGP6yRg4p64TsyakOQ5JDi2JkF8AxNXn2plMBIOq7hW4ArgX30+PKJIlmZiPOger1HarH/IXD3/jdz1/5hH9YPTYqLBIyvEIgBOK1N53IhBgnikmExIEiD+uAvZyM/+Rh9QaNqsdGZa2wSEEB5qaw7f4UhXWD52kivntnJa+cmiEGGUs2LdYtVjlR+nWFKAASYZ3D8tSHVmiAaQqsx7QqgRA2YvY6fgdkJEIMgTyTc1EQLeaomEW8W5MggxELoLxafdeaypjpRrgHNB7C4C4i42vGurbqOlO6sCpvKd2Jkbt11jJ7QA/4Xi/tOYaEbgqCN53nrAQ6Pn63kdALuUdIzIyCAJGeBx93tmTX5VDJ3mXbYdcR22EbfVbRxzKNmL3GWYqVkQ09GUSAjPJ11STtYKjtgb6nKn/HtGqkZXzAnvX+p4mWyUm1Se+9cOHpv/np3SM7gMDAgrnbbl9TicqENTuNhAiMxKLYt8x4ix8f1WLD2huiJnrEd89Hp6JylloQwpuK9NpIJXImVOX7tqxKeP8D958/PHTvZlA95g8P7XXg/rddvaoSlUv6+6SZfR4QoIHvvv0KvVmdMIhCImQSIuS02EocXeOENR5g0R/GNjotfMBuYk3qjPlz4O4XIfMWDn3tdz971ROfuXp0xKNwitwJIKK8lOJ8mUCG3EzqNNdqab4pxGafs9fI88g+P2vHo2iAe6NrFEFcyDUTCHt7awECYQZkwC47jVYzaaRJZ/pIt1hNsovl7UTAjVktHqwZvMkUK0ETi2H8l4mZCZgedqAGd+87yJGZ4Zinsr6Ui5mYRTQrFumYEkEZ4dKbKFizfe06ue+rwD1nPITBHQAMu441pa9+8U3PpkJAhRRk4byss4/fvSNBtCno8awIwbszO9AvO/3Ss+0Y7+Fk/NYQbgQidMJdcV5aIIXtKj4GdMygRlbEx+/x3mu4dMYKyAATC4uBWzqbe5E9rB4YgHfIoDY5GQa2Ir0Pkp5bXSP2U7bX8MKv/PbsefeIkgIQmqHYZUgZUiWE3pQHhYUckZbYExj0iptF7j3FGD6z6uvWU6//FHfAHhl6r50QVBNCfthLnt2/uVSFNYGrkHImg2TEKcHY+em7+SU6GYkERlu0iEMmjMjekGXu8amLvQiSeq+4rh914qzPhTRomUrcPUPL/IXDX/vtz/7lCc9YPTYiDiwwNiL3RH87kUkxGRI1eL8moCeIR8AdA3YGOaA92HCmFhFhBErIDoLADgCEAIMVt4QSHgBAD+5WOOF7B23JzutTRvcxUBDMAT06IwiGtGrg0z2aG6EE7o2AHaaAO7K/JUK+hNjVpcNJnp7YiWh2jrljq0lXZqgscxmUwB+Q98u0j4c4uDtn2XWdrWI+rWsMAihS4tf1HMstXO0+E54EUdZ8SvC+0yh+itGogISCdKhf4w6lerJSXJdtGW/XMkpxqdpKu0bYqcxMYt6RmvE7AAjIwX2zr5/cVDo3pe8JABpo3lPhLtEMtidgr6t0AvU/syiOPvph7/v6F+bdi/j3gIcfdemtd2VImZBfcSMAozgU51GPfJEDxecfNSVxoAZ3SAZpsfWffYF5Anfb4wjYe8mCmgJ32ZV/CxB3OgSgFNtll6NKalxGODhgeAvRJNLCqVFIvMgiBVmCpptKNCzp/V9qH/MGxKeZ5gkZnxHpslv+8KP+5ieft3Doq787+/2veN2VV121rep6Fg5rcA87DD5LzACw4xM97UgvsjuRAZUf1B5UjUyJR2QJXcH++QEuwXowxwYB9LSMICogX1dTsatQGXSluFJcV1wWC7SUgADW+B7jdwEUASshcveZVdOA9Rria0KGo9FgsBsMzDu4dCGi6iQ5EYtohTvGWGZA1OiDd2PvJqH9UBkPYXAXAOOMCTm3cG+v747PhwFNTgDior6n3KIKyF5HfykYbFS71/5zprkv7C3NahDfwbU5obZWyofqdbkhuxrQI3zXFZDNmy2+JmRPTC4ACIgSOrRvzhXbx8aDCAz5Nigf5jSrZTxHlBw/ENJ/FBTBPKx7dmjR8MKPn/W1Q5cdcW/8LrKiyGf0T7LJkDJUGbJmBwAuQJ6noUkhN46F7w7cpTZFqTv+e+qUeMrSKtEygcrosJ1ks37rlvs3ndZv3dJhmyHlREbIMBkkYvSt/GGRwZI8jEKJIYoK4F4vsEIX8ZRCyF5w552ZZKUS1S67CTbZjP6s+Nt11vMXDn/27B/csGLl/3vxK9eOjTgRJehALPq+HiYQ5xE5ZkqNuEo8090TvHNozWMjzCBt0vu3BnNfHR4PIUguY7Da9o2pEdYD1Q7AgiTAClAkCNAzoAF/HynfYFGy00r56SGR4ZwSv/v0hhe8U4BmZ2Uz0aQMSBBTzB7BHULZfPNCpDlGjhkRHfOG7niXXYvAMIYUt7MPYVLmIQ3uAKAWzDY3uBRfV2KvG9/Qr4ucCGKLTQB34UbM3niNHK7daUiY7IpCXz4b70zUKGzfcVNAmigjVVrbZZuUuRgkA9WI9xvxe/1leu2B+GQMjdG+ABGP7Ju/srvROccgla9+g+DdRimi7+llRZ+5SulcDWEnz7Ijli//2DdPn79w+F6efJ3pI4879mdfPyviO2lEYUjIrlE8slN8pZiyg1qKva63Sz2QEvUsLcuULEiDc/ckdQjbfWvYJNsTHvGI+zeXjn/ECT+8+ZYMKXOUocqEM2GEur5PKDnACieUT+DuZX/qQtWGLHMs9WsI7teCzLFtgp2EmL3DdoJNSXLkccfeS1cpnenDH3bUWeee8/aXvnrl1ddUtvIQb0EUoEW2grWkMNZNpyJiIGh+SWPmZEhKqSNac4podJ5KJBvPYEaO5n4AU8J2H4lLb16KBKMzjOqyrcRpyrymNAPv9G6SUHePVrgKnLujZjUkInpMl6D/QSlm9zWZAOBTvFIXO3kaUAs5JAAwzCu3rzfitGAoKmPWC2Y/mGi2y8dDGNwpz1pDc5vVwVakY7vjpuzTGrw8RcxZRcY2QkMvsvcYitYxe+IBkleRQ4ixOfTw7Cls15FGXwD5WjBl6gVll+L6RoAfnweRtUjIrpEUhf3Uzk7oRbvFCSNDX5G/9+3v/d0vf7Xq2mu73W5ljS9GTuKRifylBkuQErk6ckHDQ0MfO+urS5Ytu68GdfscerDJaKJrMozuxuQ1eFGjuNTv7lmLqQ2Q/lWmBu81CHKqQ7W9dt4NQsZ1xfm+gUk2HbY7ep/e2+mE1GGbocqQclYaKWeqVbd8Ai7S2J6iUSAMokQohupNtr2pih4PeYp2dMPkNjogdqLokGnrfQ89+D4dwvyFw1875/+uv2bFO17yqpHRUQWoUGzIQIpDllTmiPFpikkT3ysXYa6zdqt1+NKlj3/Kk3/zua9rUF4DvQnuITvCiMQoAMzhuRArZBSSNDOcDabFxHqkShyLLJR8G3UUY2oBngruAoLgyRmfBSFGIqeaJe3UINl9bbvEaEYg7aT6e690poCckCejOtZut12NysYHrWXXGppL+X0zBtijxkMZ3LUaPGGZ++EvmhR5yW6sHB+CfoUNT8UGQDTzclUjQVf1NuU3wvbawiLURTTLVJoBex1xk6YgdYReJ0+YQTKgBjXvN+qF9bCjERV5fCdFTXwPjgye3sC8ePaznvWaN7zurjvv2rx584ff+Z5V167qlF1jLca+qibENyP3HFU7z/qLvkOWLnnf179w7wP25pizYF573uxtd4xkqDy4MyiHohEdiPJdhYmW6U0LJweruqQ69sskx59mk0HzNT2VS3Edth1nvf6aRhwcHCzuBZUxZRRFMXtwkAA7bHKkjJVfiySx3KiH3pBSYdHBqU5IABEDJxCU3UI6tUFD1YYqSVQrKRf5Iy3ZTUbpoZlz589ZMO++HojO9BHHHH3muee89+X/euO1102UHd+5TSgs6Ms3w2opVKz6fcl01i6KI5Ye/u8f+/Ds2bP33mfvzes3XPC176rKalK+7RaS6Z0wM1ofqtfloSyAAqAARSDdFALAgArQRf7Exkpir9Hkbxn/lzg2MeEOkbsgOJEqhu3NkvYI5Z6WiVDerGFNOxwPHEWLKGRCcsJj5USXuU0YJL6ZGXHwhGX0UFZ1fwiDOwAsPn45Zsp26rRnJXz95MY+lbVI+RjQ9ZLpphcdkqb5lPg91YE0f1glWK95cEgxuGpUv8wo2s6KFSk56JFh83enbI3EbEh2EWkkTaSUj5sUoa8mJABgYXRORCzA7PnzdJbtf+AB+wP84Fc/65blTdffcO7PfrFlyxZA2LZ5yy3X37huZNRP/Uc+9mREnDN7doY0a9bgo//hyfsfcnBeFPfPURoAilZr8aEHjdx2Z+Y8LUMCEtcErJB0MPoJ/su+sMePHtfp1O4Y0qrBFML1lqX2ekiFPqxODNudSF+eP+Mfn3mftAf8yLLsGf/4zK986csTVXeSbX04KI6UC/S6YqzZGJ831ogKxVfaoWdmIsSjTI3cI3jFUveoVpSeYR3fw+zMhDOHHnrg/XhK+TFveOhzZ/+gKsvbbrzxgp//euuWLRZk06ZNAnDRH873MfvQouEDlxw6a3CQQeYMzn78M5528JJDW0WRtD8HZs4EBEWUKaWUSoFF6LBFRnQhh+KZKxDfsiTRwlsBSozcE+GDAh7TU3JlRtHuOiOAXsSYQTgU2AD5slMUCCE8OhEDTgmSOFWDO/Rieh3Fh/PecB/0xU4KhZEJCcGV7K6b3GjEZfHBY4Up04uPX74LwerBHw9tcFdFtviRR4/9+jxTMzNu3FZj5fiCvI8Qm8xmTwzYRHZJbhV1/O7VtZqRO0VhgFTP7tOqPVlQIIWU59nTXveKa8788ep12y2w3yIhC73xft0ApXylWqRiFJFWSpPSSqkYOpHPJTCLABEf+cjjmwk3nWUDWXb0sccsW35kWZZ3d9J8LPlAML3+H7V+zZvf+Pzf/C5jk7lQLRPBnRSy5/SDBiESSbSumErLROqjlhsDX+A8BdZ7bEbEddkltr1AdezRxyxffj9vyCOXLz/m6KMvvuxSn1b1wTsQOBaHxKgciiNyoLIeqSwvgw4Y2zubdTI94I5Bc981Cfdoj+UP0+sOTbDZTu51b3nTfTUL7Lk0mdaZPvxhRx+6bFlVlmmdtNNRNDA9jaxVHHni8TddeKkilSmtiACAmZlERVF7qOtPRJgEWAkmcA+NSKHuPnRT+7vSE1MCMmvWrMe87Nnf+dQXxVSMHtaJRVy4uRgQRFAAVNwxwkqYGBU5D+5B6QCC5EFkZhoH02NdEjIlDlGhsMhYNbHZdFukUvciIS5+5NGqeAhzMvBQB3fS+lH//trrLr2CxyYSCpTiVkxuOF4tzFGl1X28f3wlgAu5uIayeSTiXSTZazsLE5UGUuTeqDGIMXssL9NIfe32/OEFj3jNi276yCepCg+YLDWvIsSYHWiHepsa2ckju/ZxUw3uAojOMesse9oL/mmnAK2z7IHgwn0aRyw/cuHSg6+/6upDWrMz58+DaOQodcl1l9aUhGpqYtpZ8C4AqWyjWSTj11KJN/OayT6j258XH/yvj97vA8+y7IP/9bFnPukp41W3wzZnlSEhgENyqDiG8A7Fv5PFik+FiNLLfWHifKEWIBBocjIhiQqNvIKIN2+5pbv18IcddcTyI3fJBfIof39+UeunveCfvnDxlb70S5MCBC/OzMzoENFFBypfDypKfAY1tiDFLfVy+9Piayg1UqGzE1/7ovasGe1221gTjVLRISkQTi5XSAIsAiqSMyblVKMP2o4ke434/vT74p5GGtyngkp2KyY3GHEayAOFiGrPnvWof38t6Yc2PD60Pz0ADMyf++wvf+hzz321c5WN9d2bjbmzu21xMQCBmRHbYDYbWgIhAKyFEmuh81T76Jznjntqw+sqF6qL1tEXySw9YtnjnvuPVbf83098YX83a17Wt92VBDTBJmqE4YQzGqifslp9LAkYEKbIPVNKqxC8e9rdt/wQYp7nR5x43HSfftBaf+9733vS4x9/6+rRQ9uzdcN2NRTvS7Jz8iQsSQzdm8bNda4v0jIcfEVSKZSbkimphDsuSLC1SR1z9NHLHhggHrn8yGOOPvqSyy7rsO2wieAeY3YOsO4CrJNGynx/Vg3oITiFXsFOj/IuWoukiWp7yj1lgs1t3a1Dey/+3ve+p/cAZDn8xOOKdgsqq0hprRCQSZjZYQzYo0g9CwuSoNTSLiD9pMedAaRZKrexR3qAcgcySxUzVFbkrRmzZp303Gdc9KNzrrj0UhZwIoSiAFnQAYZ6yt4iHMDQ1qQEfSNC5GEAfcdUxHRMhExqIouPFp8QAoDV5fYtpttSOpUwKa2e9eUP9s2fM92n/4GO6Z9AD3zsdcSh+y877C+XXx4ro6UCd8XE2ExV5N44rV78xnsJYotjBPSGhcUUrXNOPEykZagneI+xvFc/L7Q+9gknd9dvHh0ZmaHypQOzWkoRkMcjx2KEOWUC2W6w3a2ubBazq5RHJaWVyrRO4I4Ajtl7RQwfsF9W5NN97gEAFi5c+M0zz3z6k5+6wXR8zbvn3H3MHpkZjrQVQ08d5BR8rzVmGZrqMXWfQfORPMGmy7ZFui9rve9j9z9s90Nn2fs/9pFnP/lpXMmEswqIACOyqxizi0NK/IxjoZpqhwbtDtDQdPNg0/Sztb3g7lOF603HZnTmmWcubBjwTuPIinx4/31Hb7iFEP0MFBYmJvY5BfA6ChQadAWRUMT3cC3QffN0u0/pFukCVYZKE+VIGamclBMp2d4uk/sfdkh3/ebjn/y4FZdfETIuzCzoEJUn3IMjYyjC8eVgCrgSRwK+ESGMKblTAPCVrBQLWL2hNqIObrFcirtqYh0hZqnvD3j/ZUv3OuLQ6T73u2DgQ1o8IY1t6za+6ynPGxkdnYyCupPOtEifMnNvwdCRP4XfbCJFjz10/Q6XbKnRl9+QgqnL0nOP6agKpQul92vNWtKeM2PmTFUaZJgwZUbKy6RMOlOyTf5BDFxygPhgtofiY/9c6VxnudZZlmVKZ1qnWjTrXKcsO7Z613dOP+DIw6f7xIdhjHnqE590zRVXLc4HZusiq2l30jv030Kvy4/sWBAZmfe7o9qTR+AWW7ZJt0kf//DjvvvLsx84GWWNeeFTn3nJX3zwbufqVpQ+ptirRTmFnSzKNfcQMo2WgtRU3AD3iOyRcE+zcbPtrq7Gjz7mmF/89tf3Iye8m8at11z7X6e+tp1lrbxQpDy94VwwMa+iu5k3wLHsCiF/RVqk26RyVH4aZEiaqEW6X+ce3y3wrKxtSVyut23deuX4uts7W0pnfXOTvxM5nS5ocllh6QMABamkc7fjToaUo8p2XE1CaJs6f9tdJbs+yvpJ96msTXrR8PCHf/mDGQvmTveJ3wXj7yFyB4CZC+Z+6Jfff8uTnrN9dCTE78AbbeeOattQ1ud6J0cS9Z1S/rjjDjYY9uCh0dtW6gVysxCP6L37Zj1qxl59OhcLKmu3dOZj7UocCKzevikjcrXlEzcxQiNptluq7mbg+e0ZBRUU4vcwgmI7s7Fm0SEH7rt0Dwousiz7l1e/6rWvfs2YmQwnJB5XhlPF0TCiOfQG7CmbmmrezY7P4NjxWzFPsGmRLkjvM7To82d9Y5ekGXSWff6sbzz7pCfcMTbCKFts2ad0LsqDReHDdlAWxSJZpAyV2lkeNSB7jNl9nBsVOnmKjrRfhYyaSUF8+b+8cs9BdgDYd+khiw49YN2Nt+U600ohEIAICYmEaUlUst3QHS+AZqkiIrtqkS5I+WVcRn4mqIxo0cBgf1ZUzuZKZ0o54U5VzZkxd0Frxq823Xb7xKYoaMPeGUCQFDAICNZ1lj5E8D29U6P1Zm0MCUQexgE5ER3zqCQ4aiY2mm6btBO2IE541vx5//mL7/19IDsAqPe///3T/Rl2zWgP9B963MN+/YMfdZ3x1kIdsXeV40N5H8RicwPNTiUJCnxTrKLjTvAkagaeiDoG7xpJQ6BiMtIzs+I5w4c9cs7es9v97Syf0zcwo2j15cVA0RooWjPytkLMSRFihipDhfEPQrOhFCknciIjnfGxany4b1amtS+V8aBhnetWVdeaN3z+Y3PvV2X6bhrO2p+/95Or16zZ4kp/6nyNkAO20XLWG09zgx/zV6HxGixTArcm7OVHumy7Etc3kc7qiitQtUkfMLz4R+f9ZmjRLuMxBmbMeNpznvXbH/10++Q4g3TZpeCgoaVVs0m9jijcFPZJlEus6XSVPyLxKqFh67LbaLtG3OJ8YME2+6jnPsOXRe0Jg4j2WXLwhf/3c0JUyoc3XomBWbhy7pqNa7Z2OzMon61bPvhtkfbIXpDOSeWk+lTep7K+LJvfmjGzaM9otWe2+gaKVl9etPNisK+/Ly8KrY8eXLhva9aN45sqcf709prAI3jbgqSDHFWX4zO0oZ7f/JWacJdUjbrdmYu2r2EAjZgRZUhFnv/n976x18EHTPcp32Xj7yRy9+PgZYcfuOzwKy6/PBmuT7L5/da7Hj1jESJyfcuFW7FpEt3YcZVw3b7fUPhqInv6Mid14MCcl+xzVH9WeArFsWvpHGJHn2XXrSpNqtDZLIDS2Y6tNFPFruswzbygyk0iChTgetu5bN3tj1x8YKa0t5AWgNJUWyfHhw87aN+lS6b7ZPeMtXeu/u0Vl4xVEyU7jbidTSYpcnfNEN47+e0sjzrV/cdfoLJhLeJffcNBhlSQOnBo8Q93KbL7Mbxo4f+d/9t/OvmJN4+tZgYjXDmXozLEuXBOrhBl/JdIfi3SG7nXX0L80ld2mh0qO5tv3l5u+/UVl7z0zrv2OWD/6b6k9dh36ZJ5B+8/cu2NiijPcoBgcmGdu2zd7QXj3Kw9g7KWN3gh5Wmr4PdCuvD4rvNCa02ECNa5XOtM+WRScNYtdEZEM1t9B8+a/6VbLr1p+3onoUUquHcAA6AE4RoUAPFtWSIVOyABiMI2gWoPzwAfW3i7Y798dCB/3Lamy7ZfZRxx/6Blhx+0bE/hOXfJ+Dvh3NPYMLru1Mc/9Y61a3wPdyVOI7VIH9U/HwSSUKKNgVWC9TLCeu05F91Ek7TWFGRXSINZcepeRx4xZ/FA0SLEdl4k60xPoVjnrHOdaM89WZWlNaWzXWe61nad6bKtuBYE7rK3zzYTbLa6skQ5YdGBLZ0BgnO8ftuWgaF5H/7RmXOG5k/3me4Zf738yuc8+Wlj3e0FqoKUd+dJmB53PPsZCmbuAdb9vhWp/bvj1UmXpiB18NBePzh/1yN7GmNrR5570hNvWremZBciRJAi8DMqecz66v6phAw06twRENDdjXa0FZeh8nYWJbtZrb6f/vqXDzv2mOm+pD1j89j69zzvZeOj6+fNnEVIItJ15uI1t+SCM1XeR1m/0m3KWqh8wF5Qc0f7dFRLZX153tJ5K8v6siLPslxleaYzpSl2wHarSkTGy+5f19359duv2GQ6U6j2JMVjG0Zj/tLslHmvRVhjtRsKXD4x1hHLIv2U9ausn7J9Fi4689xfzB1eMN1neleOvx9axo++gf4nPfuZV1xy2ci60Y4zAuADq42mO6Dy2JEUMN2IK4VLdl3xnnPMIDpJuzTUtWoqpoHsc7LWOw95zMGzhxbMnDWj3TfQ6mvleaHzXGdaaaLQhe6FlnzwneTooi+lJPdh6Fk8BgMwx3L7+KYF7QFhnqjKBUsOfO9Zp+9pyO6sPfeb31tx2eVbXFmQylG1SQPgZlu6UPknvRyFTLkQVR2e1/tdCfYmk2w74i1nSRNlqPqL1snHnfC1n/5w9yE7AAzMmPHUf3rWTVf8dXTdOmH2iB3sW70LSvCWqzmlCnqxG2rqqcuuy67TSKFPOjPBZqYu+ihLl36/fGDvOfOXPfL4PYeZAYD2QP8jnvqEFZddvmXdRgAprbl45NaMsa2yFqlEsuekcgxUjM+a5qRyFV+V1v59pbVWGek807nOMq0LneU6y3XWLop2XvTlxdyi7/hZiy7ZdFc3CPTvQLw0JNk8U2SBQ5Vt40eCZQ0EBWMLfG1nUwXOn+0MVTsvHnbMw07/yQ/ujcb1Q2v8vUXuflhjVlx9zYte+MLVa9fW6UrEOboVzGUiQ2pC2B5I9liLHV9DhQw2az88xMzO2u859KQFMwfnDsxqF4UmSmguLI6dcdZYa6ztmqo0pmuq0pquqbq26lpTWls623W2y6Z0zkdtJbvSR+6xU9G/TrI9dt7eb/zix486+VFqzxO7mJyYeONpr/jhb36RI3m+NY/n/NZyK8eqhgKVJzczVBAFZGRnOVX/ZhIYQMCmk/ii4YVf+c6Zy5Yvf+AdtvduLtkVV1/9Ly86bcTn6kNGlAnQh/CZd+WEqYRMLzkjsfSWvXC8//X9i5kplk8s/D898Wlf/J8z+vr7p/vCTh3Ouqsv+NNn//XfLt1wZxtVP2V9KuunrC+WmrT8soZUQSpvhO0tpXOlWzordNbWeSvLW1lWZHk7z4usKDKd6YyUhngHAbMz1YZtW0a3bnr3it9uqjqpFSDUI0TlhkDARi02r/6UIxWxWiYVtvniiDEzkfI9TviARXud+b3vHnHkkQ/OXHqQx9/hIQGAzrKjjz3m9+ef/7a3vfWP510gxoJ1CLjdGT8hOBoA2ZBW5USvh6qYBsSr+vEQtpk6f+9hJy+cOWfezMFWXmCmQek0L5FZuyihx+y7j1KLKSElp01FqIUsskayGCQKNGKOZLyqOFElBAAXbb7rzYMDeyCyAwCLTLIFgHiiMK1yDm3Nub3c4qIqFriA8kFPqmZjdsLSlOIUYqylC35Vw8MLf3Leb4YfxDJwnemjjz3mnPPPfdYpTxwZHbXCDskjS8muBOedRXfKySSUdyLeucWrirZIa8D9W7PqzhqRpDo3yeZ+eHw/CENpBbP6L9h8ZyESn9NhU15yoNll3diJ6hoYJPAIfSUYhZYORaRAK/D4DgjCSushpbXSH1v+lLdf9YuttkRAbwwi3iPPt4uJAApKIOER2AmXIkIgDBa5IeWG0QUQdJYVeXbyKad84pOfeDDn0oM8/j7B3Y+FixaeedZZZVleeN75//f9H1xywUWurDLHGvHOcjvHajyCZHSXAnZK3K6HlUb4TzN08ab9jttrcP78WYNZXkCWgdZAChBBGByDswCiWBQxovNojsl5I3WihsYlqrXOkx5eKKrhDNknJCer8rQXv/g3vz930aJF031edzJuv/MOHeWOG/c2ZkhL2nNHzcQ2VyURN+/gmqTnoWE0Gr5EAMAWqShNjAqpleVHHbX802d+fWg67sbhhQt/et5v33TaK6/6618rU3l8D81HXPv7xB1pfulVjhViQcpHkTN1vjAb8KsTEWRARlSCGlAB3n7nndNwCe/FGFm79tQXn+qqKlOFL3BMda7JTKZpKew1NrAxemwI0ztEQASkQKlGkORAqblKEeE7D370R2+6aJut5ZKCvxLWzrEcDaEQxYl02FbgkirqgqzPCmudFbl+xMkn/dMLnn/SKScXRbFHVZ3u8vH3Bu7OWltWPvoDgKwoBgYGnvoPT3/Ck59UleWfz7/wwnN/P7Z6bfviy5TAKJSW2VSVtXZKu+kUcPdbO8vbeeufZx906ILF82cNZq025DnoDLQC7wjGDOCCYjZx7bARdqLqd7oZEJOgYBxAGFSws96HytiatY895bHnnXfewt1JNN+/sWbtWgo1o7Ukclj0EB2gBzfb0rDbbDtddkHBI0S7Htp71BN9zOuPupXlM4rWEYcf8eaPvO/wI5c9aJo5O46hhQu//cufrrpmxSff/f5rr712e3eyYyonbIWmoHnqv4XogOEfUQXpOVk7JzWoC28TxiLco+lPhLh2ZO20Xci7HyNrR045+ZR1I6OzVK4bGfKI6bE7FxuzuaHc27SWhfit6FuFQFjjuydn2AdMNHtw7qHGvHziyDM2XjdZdbqVSR8Jo7okAjMQNizCdabzovC2Cg7hqBMePrTX4pOe8PhHnvyYhOnO2u74RGLxsyJ/qIvJTBl/DwfDEdBv/NNfbrrgkpG71qy5867Vq1f3D8875ISHHXHKo0486dFFUfQPDDzh6U895UlPCIqJAkB42aWX3nXnXXfdcuuWLVu3bdmCCH/+w4UK8eBDDiHERYsXEdKc2bMV0uDgrMF582YOzpp9xnmL5s7PWm0oCshy0BkoX34l4LwvDcfFeULsul3RT2v/ybERq2IseI8resS4aEgQv3rN6tNedOov96QORj8WLBy+/eZbKOllNq23kTTRwmJAKTVoOkYYAUYmt3WjpedO8T1H1SLdl+X//Z1vHHP8cUXR2hNYUZ1ly4952Bnn/Lgsu1dcetnbXvjyjq26bCupPdwC0Es4GEJqIS3qmymIAyrrp9yys+x8jTYhEYgXY1FICA4Bhob3oA4GP4wxL3nRqWvWrmlTVqt+RtujFLP38FF+q2+BOhcav9VYqAV3AwIiUAqQQAGoQMEvmDv/4M3Db3jLP23bunXz+g1bt2xxIJs2bWKANavXCMiNN9zgQB51yskzBwcZZPbgrH0OPGCvffY5/vjjgdn/kaR8aY2ZGB+/7IKLrjv/4psvvbIzumHRXosX7rPP8N6L9n/0cQc/8lgA1EX+kFZy92P6b5j7Opy1pqwAAEQ2r99wzZ8vg7/csOL8P0+I3d6ZnKjKLa7cbMsOm4mtY3+87mp31pmo6MTHnvyat7xxyZIlHuXTXzvlsY8FAGtMtyzvzsLHT8K8KKSsbjzjJ4uG98rzAooCPCcTFpICzCF4T/bIPX/mb9Co2Lw3ELx+LEQiO4suqVdf/ddrrr76mGOPne7r0DMW773XHTffEinmhplJ4l6JMqJF7ZlaKaXUobOH10xuLZQurRmvugDQtQYEumwQcDBv5aC6zlK7KJRuXq89YehM62ygULq/r689SYXKKnFbqo4AtFQGCL4zeSBvFTornd2rb5ZXUrTOGnYA0a7PISN6HZXgMoGIgIv32Xu6D3HquObqq//6178KQIaYhVb+HnG0OoSppz3iDndUqgyNj3SszUySdiQSKALAwL8DELvDFu/b2uQOftmLoMjvQcHYv9namYKxMWZ8fPz888779Q9/fMl5F6LleZhPsmmTHr1h66xbbpmliv4f/nxGu68f9REnnygPP/jwRxw3uGCePwhd5OqhFtc/ND4uW2tLAyC3/vnKq8/743UXX14Jrxsb67Id70weVswed5VG2mrLgvRd5fauuElngg6JZcPuh2f/5Me//Hm7aJ18yilve9vbli0/shn8eiX0e/ExnLpwVf/sBZBloLPwSjFsD5J02AhA/ZAkppKW6s13/ahXqggkPX9BN1r5K2Pe+453/vTXv9qjgvdoHOqFvIOVaK2DhqS9iLHSWRS5PGhwvr+1HQuzs85ZZ8erEgFKazrWEAKALNrzkM6PRfvsjVFLbrZuD7dnCMJA3tKpN4cQvcWEsO94gCRYHzVyg8yW78WMfZYa8AF+tl07jDHvfce7jDV1TQHUZZo9oXrE83t3ABJvgMZ90IT48E0GpYt2q3XRdfTKZ9N9VzA2xlxz9dWf+OQnLzj/fFNWYF2OlKHaHGOmNukNprt/a9a4M1uqTka0/he/vuknP5jR7itQLRgaykktOeHYw085cd9HPAwB1EMkrt+jwZ2t46racuvqS7/2/TsuuapiOzHZ2V52umzHnfGmpiB81fi6km0pjkXmZC0L0mVrGlIkvnANrKtc53e/+OUFvz132fIjv/Xdb9/X9S9fe8ei/lm50qA0aA1Kg/J51MbsFElbrHBPI3w7vgJMwfd4k0yJSjDie4Zk2F591dUrrr5mz+lzKYpi/332vQikIZ4V8R1CxsxXR2hFWikPf17kEhC1sHNBFq0vk9IahGjpgTh3wZ5V1J/G3AXzE60UpCO01rGIW5GiKJHGzOi1MD2sMzlkSsSz9AS8DHLAvvvdbw+m3TFWXH3NNSFsD0GGryv3w+/0xux3Oxp3QNLxFwnOd43Axw+siXhU2eIZs+G6O+Fh981Xdmxk9LQXvuiaq6+ujPG17U64C9BQFiMr3K+yUTMx7qoMVUHUQt0i3Z2YFFRjt985oPK/3jV269l/6O9rt1S21wlHHf3K587cfy+VZ7gHo/yeC+7Vpq0XvvXj2269q+x2q6rKhYmdQj0OWMVCBU9sKh/uClTCt3W3ddiOczWoChbxjhy1iKM3+nJu1ZV/fcZjn/iz3//mPpReON78+8v7kUD7tI8CasznRlEfBIVRL3XN0XYydDB5lJdkVOHneWNuS/3n4t8GQG9IDyQAxtpXv+i0c84/d1rqRnYcWZa98CUv/s53vhN7JrAmVWMy2dfAeRFjv1HUuWT2rV7kUhYOwRdKzp03b08sCYxjzvz5G+9YLfFIKTzFwmH6LiQRYT89RTGxY0Ii4pRv9CP5wQlp/YLTTt1zlmVjIyOvedFLjLEi4osLCGP6eArtuMPv1lM6mXo0ndBrLXhRLEl8KEgHJD6eEJQCpRTh1j9cMXv5gSHFdW8+/Ojo0x77hNG1awnEqzYxAAH5ylRmEVRAMMGmEtdh2yJNiCzEKFYYGYTAsQBAm3QLSZUWSdZfeOUFl6wsWsWsA/d++Mffls+ZOd1XaedjD+qCS0OsG7/+9ktf8QF74126cgVQn877dd6viwxVv8oUYE5KpcK7KXrriBnSqJkcZ2PENV3xYrk0ZUibRsae8/inrBsdu7efyli6fnXmqx6JwAuKNOJ0YI6bA8fMzgXbmtiSyvVsFmn8ZjKZk2Y4n/A/NPf4o/PPjbGxsf98+7utMffyw+/uceiSJXm75SStSBqpssTYhErQoHOpGpqXvmQuYR3Hh+JRjzy+KFrTfXA7H3nROuqRx4dneDzoVNvXPMAgn+KxH2vj8saJiuKFIkW7teSww6b74MKwxnzw7e8eGxv1dcM+Qy4yFcgbGp891rgQApcwt0NRf7oRmFmYhV194/gtmZAn9TAEJEVa37hWqns758dGR5/1uCdvHh3LIpXkX1PnuTet3WpLggaVWsdYgUNTgALghV1j8y0pFiptdePqv77qg5PX3yHWTfe12snY48Ddbt5+41s/c92bPoFbxnOlM1IaiRCdcMW24wwh9qvMV1PksRirpx4LUAHlSCySo+pXGTXakRSkcmzcNDL2/Mc/ed3I6L36YCtvI8ehJjc5p6U4vQfZHTA7ZsfOsXN+BoufyhHWkwKBRAXzFO1L43bpnWveO8b/+o3X3XAPRqkP8mgVxVFLlnppgfjcgoQBsXSop+Q51lBAaPeCeLt78UUR1vhPL37hnlAks9OhM/1PL34RK3Leh6jm3iRqF0K9FMFYG5KOGPwJqiHPi0cee9gRRb5HeLAAQFmWN153Q7JCVIg8Fdab++HwEyo3A5dohx2wPUhshtuExfm7xvVAPEeIhxDCoxN37b1qAlg3Mvr8xz1l88hYw9E3Sk/7PjLUXtJH+cAiZcXiRcEYCxJii1SBarsrJ23VddbG5TgC8Obxm9766dvf/gW3eft0X66pYw8Cd3HO3LT6zrd81t2yVgPpZCwHkLpF/BVQSAUFFapUQUjNwiz0Ctripfj6KFOY6jd8j1K45JtH17/4iU9f/7fwXZwb++G5Yh1hRPYQqjtwDlzaCcjO7GycuJxeox5s4Gri4jS+hmbFOg5Kz46oSS0iCkkEGGD96OiGdeum+6KFobPsa98+a/biYZfu7XBEAukOT8+05l66wx3b8Dhkx1yy3f+Iw5YsO2K6j+yexqHLjtj/iMMqtkHyN15obzTaHNxMwMQTwlB/i0Ec8OzFC0//zpnTWMs/ZWxYt27d6CinfFEUPkrhOTTJw7TGjOvQSEXCDqeCWcJp8neGq2Hd9dxKrgffXWXW/+gP4v5GmLx+dOzUJz590+g6X9WTgrlUnttCxfW91UiAxYNJaWGKdUHBwdzZkm3XWu+6E84Mi7l5zchbv2BvWQuOYY8Zewy4O9706R9ueO8ZalvHFxv4uK7HpBHAv0H1IioV1IZHOzVc5/3wdukt0pTImQZLoxA3ja57+0tfbY29h08nlS1Xr/McepgPzI0paMHasOMcOGtdGmwjYHGMTJMaBif5MKixPnHu6fOn7zKIRvTzsqqqG6+7YbovWz2GFg7/7vfnDi4cSsfVo5ImKSRnx2wToLtQJ2Octc5Zdpa548zgoqHPnHXGngNzOx0605856xuzFi3oWhOeTM4Zf0S2OQf8RHApUE2ZGC9M7TWtZi0a/t3vz10wtAfJV9143Q1VVfmVpUaKqSOQBiA20028Q/CeEk5+AjiRcPjsZ0I4J5bTfVTfRPX95f8HZgGpVo9JdU+3qjX2317yqk2jY0H7D+pX35aYk7K995c0CKUpI622XFxaVeysuDCT43UUEdk+ue3939r+uf/bc/B9TwF3d/tovvKuHElRdLetiYuebcqVqNslepP1U5I9RrggXftQx05Uz8TdsnLVDStW3sPHq+4ac93Kxxlh8egcWI/pjVdrwVp/Y1tnfbtKuLGlEblzPS24EdZN0YmUBug7gXgqQmjvrF112RX3/Ex6kMfwwoU/O/c3g4uGkudGuiVqKLfWOGutNdakrTSmsqa0prS2Y6uZw/O/+auzFzwUVPrmDw9981dnz1q0oGur0trSmsr4wwmyccGCzj+6XI3vLq7kfEg4uHDBL879zR5ineqHNXbVZVc4a5MnSfOBzTUp6WklSOaIcUUCzTqCsLFnY2pCxoYqWGcTstu0mSbE+/jITZbVXfe0YL1hxcqbV6xssDE9wVyGZCOwY3TImjJSwqB+R+plikj9xLIpaAvIIMWq1XLHvU3j7e6xZ4D71kk6/Ve5Ck6h6YHvIuRJD7KL9JzturWxifuxBwjCVwBWOItP74brGypEsPy+l79uw90kV8W6sT/8BazrDTHiZgxYA8aCNWAt+5vZ2hDBxWi0h6UR8ZHL1Pg9BbwgSU9qync9Te/H+LZtVdmd7ovXM2YODLzoFS8bUDkBWH/rxs04a6yprK2MKU1VVqY0VaeqJsuyU5WdquraqnSmf3je1371k/kPBWT3Y97w0Om/+L++oXmls11bdU3VrcpOVXarsjRVaaqyqipjKmMqaypnLTsTNwQoSM9WxWmveuWM/j2rV6squ+Pbtvl9likLTWiszyARbRw5Ga4JHGksU9LSzTmOt0Zc6Bhr2Rp/E0HaMXHHWcvOsRPn1p33l7tLYG4YGfuPl/8rOmlquNc6IkA2FOz2BH+NNUeEdUnfatTARTiq4xVhfzWt4/QzePqvYOvkdF89gD2iFJIZvvprnKzq2jjhGNuya6xeE+o1qwZ7E/R1VqepkO4HAjiQHIiwlpHxLZQEuHls3ftf8brP/PT7O2bwuDLjt6wGa0MrirNgFYiEYhD/uXxwYW1ljYnBmt+xjv0K3XKI1JoLumQ+l1h4F4+3B9YDLRvSOHeziJye4fV8xtdv2nDT7f/7xa/dufL6/YqZvsbAR3ZdtgasJ7Uss3K+gAQB0fMYlbPG2dLZ/uH5p//iRw85Ze15w0Nf/sWP/vVpzx0fW8/RpMUorRT5spA6SmW27ArBWbpNUbCQRa78/Lc3nn/5c/71lXMP3rd/3pw9qh/SV+Km/H8Pl+i5dRQnwhias5qrbVdv7IQCKYesmImdckEhFRGJLCLmgCQAzEGKACIFaq2x1jqurK1uWc2V2VEh1Rr73lf865bRdZ5Bcsghc40EwCJggHfSYehXwwKMjTxw81VAMIp3QhPfxQsE+djF51kAACZK+Oa58Ian3/uSzd009oAJtHojrNsORBg1ckNOPa7jnPhUi8TshX/MNq9BM0VXp3TiqPd8UjzIWPSmWQjxthXX3bxy1ZKjl+/4GS0754yPMiprcyJgF5voBFiAnbV1cGoixFvnDHt+psE1N/mKdA+kGdMM0mEnEJ+htxSDrZu3TON185h++8VX/vFHP9908+1203Ysbafq7qP6ud3nL1CHvckGBrFyZ7ez8bqbPqdi2FXOVs46BfsdediHzzj9IYfsfswbHvrSOf/7npe/9vZV15WVDd4USqV8g2PpFxqkvJ0Fyfs6ww+okMyq23/+5g+5ltazZ8w+aN9HPefp+zziaDWtKJ8mWOitmzoVawvZhOwu9t9OYdtZkJkdhs2yI0bliHoqp0AAMhEdwL0OnuLdZEtbKd552H7zylW3rbxOE7EABp9sCfKjiF7UaMc2q5RZbUSHICi9+6lGIEVgMUQL5c6cKBoAgTWbYM1G2Gea+++mG9wdwy//6uE3hDyccLw5ORoTK1AWAdDDIrG+NvVKChv5kDT8FxSNOIL+CZFCRJavvvcjH//Jd3Tv7SQA29eOtUUsO2OtscbbWyP5lC9w6C+3xjrjIt/qrEnptUhNBPK9UTnTG9qwg/Q6NWD3d5EvCvL1wxvWjt7bTu9dOti60WtvPPf0s9ZcejWWjq2ZqVsIAKj78z5f3eQXuf0qw+iYWrHrcDCG7jq7njsiYNixwn2WLfl/H/nAwcsO32MLH+/NmLdw6As/++HNK1Z94t3vu+vaG7qlyUgBwiDmbcpaSkUnE+WJAoh9vAoxI+Vf0QCum9iy5qpf/Pkam6tFxx158qtPHVp68HT0u+OGtaP+bop66D3m4HVOGMWJOEz77CTI5rCgE0oz3AoTOyIkRnJISOhwStW/X+H5iB7QB3wSFsTsmGVizdiO61Zr7Vf+4yPEgqgY2AKBsD/HAmAYYp1FU5/Oi3Q3qtSkB9lZQDBwTf6Jldqvmnky/6Vx1lhnQ0JO4JdXw788dnqD9+m+l0a2wMgWQAC/knUucTKhMLyHsoC6djABfWz+abaHSmig6xEajCOECCoE75SaoQjx9lU33Lri2kOOPnLK71TOoQnBeGWtCKhIIgEkcHfWucTJhEwaR4j3S3Jhy+waT/4GpstUrO8N2H3mzbfs+fZ8jdMwdSY2bP7i69/hVtxmrZ2btVuqBarlrXZEJDgwIFbsjLNdZ2uyFaRiO+lsx5ku2z7OxszERjv5L2960z+//lXtPc946H4MneklD1v++f/7zg++9PUvffyTi/OB+bqvTbrVMKKrFVqIWioTkMG8Lyw1RbxURqG0Rpo0VfdPK39w4Vtg2X6v+sJH++YMPtiHgwgiGJcXVtgB9xCG0b6OMQB6hPUa7pWwE3SMFpGYHaJnZgiZnJ0isBdZLBXA3YMsS+1rZk3ldlJEcOuKa+9Ydb0mJSJOAJgdEAgLkAUbkb25iEcE8fdRWvQzQgoWOaF8gPXUjwIpio/L7lD/Y5wx1jrnlAis2QQjm2GvudMwC9Plm8b/G5jhtytCsO2csdb1Vg26iAsM3Jts3JH76ymkkehBmtRaGhc19NQkWkZTULYiJGD53fd/fOCypb1rYamcBWu6piqyXJFhZkrFmgA+XW4dW8/DhJg9Bu8+nRiC90S719G6lZqQ8a82kjOpaDJ4jIFkEATTBeDO62+69oqrjj3pUQ/S5bJu/bU3/+At72+NbmmrVpHrnJRvNCuUFoC2zjVROy8MO2be1u349UrHGcfCwl1WGlVBqmTXx7aPtEK64CfnPOtlp/59gLsfnYnJ3/3op4vzgX2KmS3vNofecE5FcFd9OkPEPp3PavURYl9eTFSliFh2IjIL+oxzfS4vnS1ITaxc8z8veMOzPvkf85YeSOpBCuFXXXHVnTfcIl4JDoAAHIBNYUddzMYO0Qmm2ZtgPe4wCVpBYrToiJHQRYlg8Ldjo0ZemFmxo1DVHOrlnXOVNR1TdW3llTWbH9VZ+7vv/5gEiJQTDpQMswApYJQgT5JGRHZEqYP3Oi5sxO8s0hPIRz6KIYISx7JOYeucX2Eon0r7zUp42aNh+rxwpxXcR7bC2q0gAlxXOnt8D1lHj5owpWoQpuRz0kO1IVgBHNaSO8F3iLpUFI3NlMd3pQBw89rRqizbDXAP7IE1HVMVplREjl1j2ehl/8Rxnf03XEO8DZE7m5h7CXmYUC8ogYqZSsv4BR5Yqf2Xm25NACDOrVv9IBk7TGzY/JU3vjtfcWeB2Je3vZ99oXTuhR69aAypQmeE2AZgkUwp49ykKVsuN+wM28wpjaQdabTeX+kAmrVuZMu7nvGij/3su4ML5k3nbNxFY/PY+n975j/jyKYDWoMtbyKKqlCqIF2QzpXKSeekMqUH8iJXur9oaVKKqJXlHtk9WFh2pTEdW5XOFirrrJ/8+Wn/1jl875d/7kMPTgi/fvVaMRYaHYIIGOdtNAdvRCQOm7DODtCJB30kERIO+B4MklzztqxJbWanWHHg4iGBO3PHVN6I2DorvbxMVZab1o5mSoUiMwqvwmxEagFuAQBpIHuI/3pbakWw7izxtEyIHbG3GDRV7of+NWeZ/Xq95Rwww9rNMLIVFs+erqk4feDOAr9blVqBjLMeyVPW0da14aHRg6PxSk+bzE67gXwD8U40pgEaRfEKUREmfNekCHHz6DrcgcvJh+ZMrlnftaZTVYqUfxhglP2TkDHjVOCVqBjjnGFrUuSe7g3upWWC87KkKD7gfsMO2AqT13lHJESN5Jxbee2qp+7+azW+buO3nv96vW7LjKzV1lnhzY6Vzjy4a50plZFS5Mkq8i3miGCcy5SqrK2c7dqw5tBE2vrHqiXA+Vl7fGzr+55x6vvP/p/ZQ3uoBuS9HJvH1r/nmaeq0S1NNsabROekCqVzv691S2W51oXWWXw6Bvk78cknZ6wtdNZ2ecdUXWtaVk+ayl5zx3ee94YXfvcz/Qt2+3p/5bWrrLPaO0TGqMIKW2CXlpJSY7ovUHGCIZCPKG8BUZAESdiyV2NwkTCNPS0pzUbs2Hmb1SS742+urim7pupa2zc0Z8pHRcAto+sypX29SiiCZhCUxhMkSsiD+OqfxNVIM3DEWgWEI7IHiE+EQW9aNZVL+M5b06zQ/+1KeMkjpyt4nz5wtw7GtgE7X81qrO1p7uDQzNYshezp6+stEHSxnDZ9q+5siqIetIOXm4BQhHUddMZpfMOmKZ9UtXI9NGe7KVs6L0zl46xEy0AjuHCx1s2H8AHTGwlVX/CeIN7zM7HfJ7xjGlvzJxlEAfkFsgLUSLnWyw4/fHdfqPGxDf/zwjfR+m2z8vaMvGjrvFA611mudK595K6VCg8834LGwRlcaWe1VSr0pkVXB4cEqBiVQx83McD42KYPPfO09/z0zNnDC6ZtTj6wsWl03XufeWo5tnGAsj6l20q3SaeAvSCd++WO1rnSuc78acyUypTWEd8hscw6VNPmSred7ZgqVxoRt63f9sNT3/q8b39qd+P7sqWHn5fl2kwqQNfLzKRyXiMcbKQEFaDqIWdC8E4gEdYBCVEQOUbtPs/ghxIn4oh92qa+uUCYQ+TesWa76c4cmqOKqa3L4xs2ZVozswCAt9pD78CHGFuVatH5mrMVjCX5LlUuxIJOqYP3nvebJcuxpjlRNGysNcZkxoK1MLoFLEP+/zVwX78djAVjwRhrKtvbn+0kNvtEtp0hdmk2CgRDMif1cDe+1fiffKgbJGhSdxoiEMSYXVHiFmYvnFqKR0odeNLxd5xzfteaXGlFSu8M3AO+i7M+ucqcqHbDzjAbZiON4D0E7AHWp0C5FbaNH7YNTsYngTVSX9Fa/ojjd+tVGl+38dsvfBOs2zIzL2ZmrRlF2weeCdwznfnzlkrXk2KMZvY9BBBceaL1YINshUaDzPjYhg/842nve2jG75vG1r3nGS8qxzb2q6xNYWspXZDKPbgHFisrtC5UVmT+BGZZDN6VChLw/pwUnFXWGm2NtZk1mdItnflTt23dlh+e+tbnfvtTA7sT35efeHxfXuiObwIiF/iNELxbEQuihBOs+1dqvDoI+WEUQP/KPWvohoaSsIgidkFEM9k1pXp57hrTtcYSHHjS8Tuanc5dOLT5rhELqUrS65QQYg0GYe41YnaAYMewU/hOgXwsm+mVCeptnm/23HZNlZkKTA7Gwfrt08XMTBO4O4ZVq0PXflV2q8o2qgYDykcZxZ5+nxibu142xtWTQKLOe8PIEZqGpuEjBAUCSiZBSpPSWs9ftGjHz7vo+OUTSlq2ypXWScS1Di5i8C7sK14DA8POMpv0Klwz77FB33AN66Znc+FbENj52tgIUCH1K61J78gg7cKxff3G//nnN+K6LTOz1sy8NZC32lne0lmRZbn2m86S8VDNU/lQyzlmClQt1AKQ9cBwe6hayXt8dMN7nvGiD/7s23OGHkrx+8axde/8hxeasY0DHtaV9oUxOTaRPSuULnRWaJ3rrNBZeEaGc6iVot4sIuc6q6wx2mZWa2MIcVYsB9i6busPTn3r87/zqYH5uwvfEVAr3aeyCbYsopAcCAFG2pCtcBPWA7hjD8SToAUO4M6AsfTcj1oEWBSLKCHiwE+l85BomY41HVtNaFl0/E46UeYvXrR9ZL3/3Ol+9ALL8XCaOiUhZkf0Cp4NHJ8K683OrMbPNJ46jW7VcO+XpuqrStVqgzWwajUMz5qWmshpAnfLMLLJNxk7U0XxDWtSp36jpCSewUTIcArVU6tY850GLdP07UW/rvTBOwazdgSA6CChtVKZ0jtxfgTQrXzew49Yf/4VLZX56hoPtRALZlJhfujBk7odMWJ6nVMN8M3ubmCdjbgGMyNWWEAI6qpNDTi3PVBk+eBui922rdv49Re8nkc3LmzNqJE9y/2rx/dMa620Dh4VlBhMx+xYOeeo4bTp/2xS7fCeOE44E9WSLF3oLaPr3/4P//xfP/ve3IcIP7NxbN1bnvY8O7Z5UOdtyjzVnhFlSJooI/Kcu0f2vEZ2z7lneZbpFLlTQ3NUxDHnWlfWZsqEngoBKcIJXLt2/bf++Q0v+e7nZ+yeOTC4YG4ry+e2BzabLmNiXdCBT6jGDH8E8fAqsfdbkACDd2BUCQFJqU5/lCIiQopB2CM7ebNGD7/SDJtKazaUk/NOOEa3diKJTIiZ0gAADkVAiCsHdVa2oR1LIHUqThrMTKNsvxfWoRfiGxuk9XpDU8E5Y11lTNsLJ6zdBJb/vwTuIGAdGANeYilWDTbo6UbKEXqxu0Gsu6nBex3a67j+T0/sJspDdM9RiMpb50Tafe7i4ayYOntIqZNefeq3L7h8m+kG+wVv6hSfBM12BlfXswcojxXuAc2bDMzO6HU3hXYPZlLJTwpRIfVlxaz5c+7bWb/XY+u6DV947qtpbMs+fYMz81Z/VrR01tJZO8vbedHK81ZW5Fr7MzbFvQRFNLNmZ6NSULzkUf7Xd/QRO3KWSSNlRC3R/jlditu0dt0bn/bcz/3if/d8fF8/Ova6pz3XjG6co4uYPlUaKUOlSWV+UyqPZUV5TEEnZM91limttPJ+ck1vL8Ws2GmtqfI6/hDFk0PV7/p1205//r+++gdfnLl7Co1mzp9jqlITWRYl4tu5nWCKOXoid0QldcAeamw8uHNUseIYWftCwwiXSoiRCJNHVRA8AAgVz455q+l2kU9+zYt2LAbNinzuooVrrr4umJopZlYqqenHII99kUz4VDF49wUzNSGzMyjfYd9BzCt4cpVT2G6t05ZdZU3bGDAGnJ0usZDpa6DasBVMBaaqTGWds67OQ9reUhmP7y5yMvG0RohvoHygsEEai68eZwiP9dS45N6s2YNUpnSW5w875dE7bfgePvzgGYftN9LdPmHK0prSma4zXRu20tnS2tLZ0tmSbeVsxX6rVaKqBNmBfw8UvOlB+fAwSF9W7IxwHbZDoGUKUsc8/qR8N5htsnNfec2/tTeMzy/6Z+atvixv6ayV5WHL83ZetLKsyHKdF5AXkOeQ55AVkOWQ5ZAF63AdwStBmCYdbVRV5h+opEKfAVJByich26S3j6z7l6c8a/3YniJYv9OxbnTsFU/5x21rx3y03m72KBFlifGLoUOmdOaR3bPtcfWjMl37rWdZz2nMcsqydp638ryd5a08b+ms0Fl/Vswq2v0qb63b9o3XvtPZXS8OmhfFMY8/OSddq2RHStAbFJudrDjZ7CyBFKY0Oysu8Y31fcHOOFdyvH2cKZ3191TXmdKZ0poJU3adHThs/6GlO/FQVVoffcqjsjyPJKEiIq1UctWhBimLO1I0GGywQnVj6s/aUdypV8k18sChxi+JezvnKmudqcBUsH7rdM3P6QP3qoKqqqqqtMZzMoFwj4l4m05c/SoMqTKSa/keYQdsa9DnGKTv5EJSTPEBACJkSiuiZOyZ5/lBDz9q52dKqRd/6cP9i4e2mbJjTcfDujN+RnadqZwtna2crZzzmO53KnaVOG/nHTY/xXdgYPy8r4QrYW/tXbIrxU0J2zXS7LzNiEccf+zuEB5Zs/KGbdfepgFnZa1CZT77V3h8z/NWVhRZnmc5BvSZAkYadAZa+035pKtK1qmkSCmkjFQEvijNGnc8SrZJbxtZ9+YXv3yP0jRuDmvMG1/88q1r17VJt0m1SDdbT+N+QHa/2tN+ppFH+VAko5Lfetgap9HDvc4wy1uZXzDlRZYXWe65ncGinZHaeu1tI6tu3OUHqLRedvwxgjCY9+kg11HLMVXMpZ/YkWZMZWBT8L0ndollBQnWw53C/q5J+B7uqa41/l7bZkozf+ZpX/rw3U34gx5+VJ4XSoXkmSLKlMYoP0KxFasn7Es+EIBeVTAVzDRjx54kX096r6fVnCXR7s5H7qUxUFVgqumaotME7iJcla4qu1VpbBTIbRDu6aylMiMXmn3CTv3MbGC6/0WIHpXYw7aHpVnYPNuOlCmtSCkKjOfcfRfr/G4NIgbmz33up987Lqbj4mZNx0WIZ1s5W/qZGjHd9JTKsBGuegMcE3gY//NciguwHpHdCMdoHb37a0Y0t29AZfqIE4/b5VfGWfe/X/hqJjAra7V1ninlCQQfqnt8z3WC9bglbFIatAIPWMHXWKmIbmmHErLH4F1HIa0MgwZLm/RtK6+7Z539aRzXX7Py1pXX+udQEAILhUwB32OuPtbakmqyfz7Ho1XjvDUhXiVkD+9Q7mE9PGgLrTOl2jqflbfagP/3ha+73WDjefiJx+k8n9c3kKHKUDW9EHy8UsbAxc/eSrjiqZTjzioFYsAuMfrxm7Me37vOdOPN5bdxMc/9zHvvIXus82zufovDHFO+BE4jEkLy8MG7j/kCM5N0Mnq4dZi6UxfmNes4UrWM820utluVxlSuqkD+v0TLCECnKktTdauqsmYHzp17OJlwunuC9wY/M1V+K6B5XIJBvH7NDiD/rPYxuwrZQFRKP/Ylz7/nWHjo8IOzpfutryY7znac7Trbtabrd2pCpjFfxU96l7YUtlfCPk4vmct4q5QhYLdxx6VwSSPlSBmqWVmrX2eHnXjsjrmBBz5sWa6/bNX8rH8ga3lsypTKdZYHZMmzZozpYaiGJ1XvKPJcPIYnZ1gsB3dsDM7ROjYJB+BAJICClAfNiar77re/Y8/xAa/PkjHvfPs7JqqyHXn2BHyBvkgQ3+yC7n3CaU+y+9cpm047EfSV0lmWwvb4aKSZeWtu1rfhL6vsbjDUzYp8yYnHDGTFzKyVIWXBYBp9hatH9lI47jQmPO9YIOCMpNvBhzgpbA/IXrJLt1LHma6z/i7bUE3qpfsNHX7wPXxUpfVjX/J8Ur65kIh8cTNBY8nu7/0mO1NHgQhTCF7XqLR2O2VpGh2qHGtmGtYF1qv5d6tyuuS5pytyh2pW2yN7mdxqmm0+3IPsNYI3kb2p0AKcVlX10xgxee8lQKdYBAkAmlSmdcrgqEwfeDecTH2+lHrFlz7aPzwvBBfOdNhPxAjxHpfZh/ABr6verfRLWk4hTwPWpbljMZrIaAwxe440pzVgnHv2a1+xOziZOy6+ctDRzLxohNU6U6rQusiyTGtUvRF6gCEdcCokV6mx45ubKKqz1RLeEfJiPBgtcL0lcZv0cNZ/y8prV12zYnpm6d2PVdesuGXlqqGszxMyaTmYtpCoTwdIUXw0PN5CSAFE4SmoVOMEJsTXDcTXEDoMdGy4U57jmpm3Zjt155+v3OWHqbR+1mteYZyd2zeQIXk/eh1c61BAEqCnFWclNV3jV64Vu4q5Yt7hLkivtmJXsk3I3g3I7m8r0x6e9/IvfuRviuoceOxypTOIvuRaaU0K/IyKBstTLJcbfY6BmYlt8LU+WlPlKVZwcE3dSOzX5ZBXMNGioLK2rKpqZnu6zBemCdxzbWf1daoyqeNWXmnLS6+Iq5tUge8J2WEqLeMxnbw0WE+1e1yXYXBIICStVLeqgps2y37HLLsHTiaNgXlz/umz7++C6zjbTTOS/eZhvcZ3P3dL7oHvOpCP4XmVYJ3rHYxhYEaUo/Jh+0CWZ4gLDzt4/yMO2+WXxVl33m/PnUVZTrrmiJXvAwidqDXckNoB0AkIGzuBCQv129QIz3tC9d68NyACKiQvo1g4/O9PftLsScG7Mebjn/xE4dATMqrHuxGwBnpqHCzVO4SKkNIZQwo6n0iN09h4OoZTTaAUaq1ST4bPRRPlSg1Sdv65v98dzMz+RyxZdNjBbVQDOs+QMkr4jgqJRcIEjqvPGuuFA81Yb1xP+158Lxv3TpL+7/pXcM/97Ptn3otyfp1n+x+7LCgQAHSr0qsBBlMUnFIbHSvosGZmXG/kHtGcI7438nxTcn4B30Nfuo26Up2qtIN9kE9PUeL0gDsqah9z6KQ1pTU+A9nTms91D2eSWGkS7jVXIz20jPXypDE2pwbJjrH2kaAOrHToMkX/iD75tOfey1h4+PBDyqV7b3PVpDMdNmkuRnxPm63D8CZ8N7C+4h5YT1E8AHgqJkPKUPnXFqlF/YMD8+e++2uf3R1huy3LdZevBBD/X6tAGcca7IBEO6APxdQG7UBsYr2Ioh4AD+LaCIkoiyEVhtyXRkKADOmyP15U7gbO4X6PsiwvufCiDKlApUMvW40aFGOLZmNuepJhMCppVmwlZG986Qvem1gfT2xQekgbkkJigPW7h5lRWr/zq5/pmzdn7xlzWqQ9OZMjZRTw3QmXiZNhnrqz45xP8zzM9hT6pDsoREuTzm53VXfp3sOHH3IvP+rJpz2XfVkyACIqUqp5umOnergoEGrqE8rHGscemZOamUlJviQ8AE3hsCQbFfC9srZjbfuYQ3GaVN2nrVqmvfygCVuWJnHuDfWVhOxQV87YiOy2AfG20Szn1Vd6lmDpWiJErIfg0UGkEFt5gQAsYp1dcNC+iw896F5+eKXV207/pF4we9yZCWcm2XS4Gb/bHljn5gz2k9s2Eb+RQbUdtpNsACCVXmSBkFF9Ktt/1vzW3MH/Ovu7u6mBEwFaW7sDqqg5YgzhofLKJzWONdsGGjvhz6RihPAGpsKFntGQZfYXLioU+F+eqfI2KijNn86/8MGeoHc/Ljr/AqgsArZIAdShekKKwPBGfA/aRhi1F6LCSX3SAXvOTGrESCcz/RiEuIRim7Rv1p+h8/a2zm5qVp4ztOBjZ3+nNWfwwMH5faRTqKGRNKJGssIdtl1xpdhIziTWsSfhVDXCl6oR33TD5mN2M8lm3FXjrlILZv+/0z+p7rVRyV5LDl5w0H7WOa/43crzkPAAigFEc4UY3mmifE0FR3qAIXIG8c1GzJ7oBE4Q7+WkKudKayZd1bf83qLKLh/TBu6U674nH9cNkbv10omWm1rnzTPYlD7vKZS0gXBnB0wJJuLqOCFFuuUUxCZ+osmy65G9NXvWKz/1wfsUCw/On/f2n5yRLRjc7qpxZ8adGWcz6Uwn0e5TYL0J6L2kfJdth12H7STbSbYE6G+bDEkj5qgKVDNUtu+MOdmcmf919nfn7Dbplc6GLbNVC8I5RM8heBypC8cS1twtliRxbEg7knxv6x8K367zWvXTI/wsAbZIL8L2JZdcvIcwM8aYSy+5ZBG0Zqk8SsGEjscYT6SEXRjYs1Or3E49Z1P2RXq+bvxAYngaMiwwW7c7G7fspqOeMzT/Y2d/J5szc/+Z82aoLI/kjIYQgrDIpDOTznbYepiuYni+0wVrKbaG+BDWmElnJ5wZd2a7M+PO5EOz3/6TMwbn34f+LFLqlZ/8z9bsWdY5Zp4ouzU51njiNotkwlWL8UjTaKGGdWkWdOyA7zVz4JkZ9k41pTXtJz8cp4mTgWkEd1Rq+JTjOpGWqXz9kARd3BS22yRuHkRxg2JR/FawtrCBk6lTJRS59bQEUzUnE5J7ImKda88ZfNf3vjrrvmt0zBqa/+6zzyqG5m531XjYzASbCWdqPzl2HR+P7HyLmO7Cb/lQqBm2t0nP1PmC1gw9e+ATuxPZAWDt5Ss41pUjNPOfzXnisaa2V/ibW9Pgth4Jr5KWW+ORkfzNEWCbq7Zs3bqHMDNlWW7ZunUbly3SzQq3GEYkfen4PYGpPbrx6Ve/saOT2I5bbfAJiD5D6+sCMCi0VGb0L7uxbHTO0Pz/Pvu7evaM4fbMGSr3FE0K3jWiAPjoJE3vbgpcpGfCe/ayI5FeZzvhzIQz41yNh9cqH5rzrp+eOeu+z/bBBfPe9b2vtucOetPqZLLWdKzFBhXTvGoUupka/jk7rcCGxMlwLfwbGrV8TtVWznadHT7lOHywzFV2HNNp8Tfj0H3xgOHKhVIZXw8e1BCZk7h5U0bRBmYmdD833mdMfWihqh3Saqvn0mJw15s7MFMIFx928H/88Bv3A9n9GBya/4GffTsfmrO9MS89xE9GjmUywHdjP2wmbnaSbSWuAevo2Zh+ymeofGbRt9cRh376nB/uVjktdu7Om29la6GBt/6Uxsb3hOmStPSDeL73MG9u/lsc1QaC3XkD2WuUDxkwH9hK/eAQAelTWYuUTFOl8E6HiLRQq6iSllQBoJdekWjjDvXxNh9u6RyKr84AjjvSOIHCU5+UIlKvdiA9Y5216fLtpjFnaMGnz/nBXkccOrvVP0Pl/UpnMXj3pZ8I4Kd0J6L8JNsOm45L4G466X1XI/s4m7D8ddV2Z/KhOR/42bcH728cM7hg3vv+94zFSw8RojkDM9ODsAECAdlroKgb1+tupt48X2yA3wmjkLAoSsA6Z5yD/YdmHLrvgzkzp4zpdGJCpU74+Nt+/5J3V+s2+r5N6/G9J6EaCHdvWJGYGR+2Jz30pEdKEeKDOm4ohIJmpZoiypTCWf3v/eKX9jt8yQPMTM4emv+JX/zgX578rI1rR/OYYfP8fjLZ8B+77smG+uHk57cV9ndIFpOoGqivKIaKGXsfdsj/++gHDjpi6e42j7bdEsY7wcwzhtwQbe+DKGvDvBaYo3avj7DFO00EcHcesBywCz4Gwc1AWHrj9/AvQE/4WkN8i/Sf/vznB2FC3svxpz//uZ803A2zMjVub4iGNkwhmJtozgzIgC7K3MZnBMuOj0z/69D0/kyLg4mOLU2+GzLtacwZWvCpn37v5pXXfuJd773zuhtHu+MTVZeE/WwHABDusE3LMo3YRP/GwhQ1+DcxCC4CG5GxamL/ffb971/8YPaCB7RCHZw/7wM/POO2ldf/97++LZvY7pgJGH05k0SIF/TUH6MQIIdyDGyIFZIDtkJaxCJr7/QN3pCErIiK+G4FFbMCJGRkhwD5vFnHf/yt0xi2w/RG7gDQmj/7+P96qwGp2DXFb3vtLBpp1d6wvcmOpQdyjenYqJlBRAAFXqZKFXnxti/+94HLj9glNSezF8z/yq9+fPgTHrO9hZvBbLKdba70FLyPXybYTjSC9ElnJ139pRPJUHluvUBdoO7LWsc+/NizfnH2T1ZeevrP/3fJ0UfubmT3o7N1u9+RRJVHYI94lDaXXLR6Nxt22L8yNzX6a8cVjg6ciZKA5tZcKnhK90E4/Hs5WEQjhQ9ZLzKSKlqtEirJoS0ge23p4HUEGw/CdMbiTnM//mT4ZeZwAtPZE5HG5dutQ2d6ydFHnv7zH/1k5WXf/uVPH37sw/uyoiDlt5yUQuqkZauzkyl+r8P28H6Hzbgz22y1yXY2QrWtgEc+5Qlf+dWPHyCy+6G0PuioI/7tS58sstyXjYY+1WZNZKMYlyL/znU8vkM/Te2YFkEJaiAK4oDsDMJxH39be7fp+t3bKzW9/z0AzDnsgBlL9h255vqGtFAD3KHx2mRjQEJbc5IebYTnKXJPVWieQU7q7QcvP2K/w5fswqOYO7TgU2d8pSzLv1z4px9+//tXXPgnV1bkhGPw3vvcig8nEC+YFaJ1pAxp0fDwZ//njKVHLtPZ3y6637VjKvsrwQTHOtYq+AgqVuBcyGX4H2wIGQbcb8C98zYsrnZi8Vbxzj8xaifFmrPpgUgQJ7J+44YH+VTcw1i/ccMMyFPaoHZVDoq2wsIMxNCE9bhFL0m/KediPwaAACiBJIzkz23v+fT2676e2nHzjIXFwYMmQKgzrbOBI4952Ld/+dNV16x4w6kvXzu6tvaTif2rMePak0lK4TwhOoXUzo959KOf94LnH/uYRxZFsWun/f5HLDn4qCNW/uVKrz/qkK2EclsBJBEOwZ8wBCsPAoxCVWwllANpQYukhZ2gRVRCDiUF71ZYSTCZAoB5h+47Z8kBD86FuKdrNN0fAEirx3/63d9/3hsnx9Z7aSE7FQdlihrRFGUiD5HNkvYmsxZ8O9P0IjV3aN7rPvfRXV4nrrNMZ9nJT33So57w2LIsL73gos98+lO333DzZLfbNWXz04Zq7jjFM6RWXsxstQugkx732Ld+7D8XDA898M9zP8bmkTFObHDEI8tOsbPOKbKKiMiGFJQAKIo1SgAAgWSvwcjaqCrhpfJqs62GeWyqKU4MtHfG8abnnoXLZDd6ktzXoRiSdmAk2+uHYq9qYK9TLjc25ywSIepUHKTET426itSDu2NwFqx10UTeq3RwcLNhrzXtQLaMjD34Z0Nn2fJjHvaj837ziXe85/w/nN9lu73sdE1FgimsYRAFTXzHVl70tYp9DznwTW95y3EnPWqXY3p9sbR+4xc+/q5n/PPoyKhi3xbAVuqcKoFwUJ8PZz8FZB7ErbBCtEI6vqND5g8VoBVUGITsvRtJ39zZp3zqXXSvyzd346WZ7g8AANA3f87zf/DZM5/7uonRdbUDUfIqEjaN9GmcMUksV9J6qu4+bQiEESa5D1REcxfM/9BPv71bjdw8yj/2aU9+zBMfV5blRedfeOHFf9q2ZeslF19MgGMjIyCyePFiQjz+ESdmiHMHZy877thHnfwYACiK1oPDwOx0rLv1zpZEMjhE02zZKeesR3a0iJgDxGSgit60AJAid45hpq31PmO8mexke5Cu5uLBOxELAAuky71waHqedjsdi4eH3J0b/GK8rgcKpAzU+iTMDplJamKKnWOyrhZg8ElRDZEIowa4SzzJzoGzztrKmqCyZ+vIPT0aLbt1t94xXedkwfDQR77+5bLsAsAfz7/gmsuu2LRlsxG++M9/BoA1a9eKyNCihSLyiBNPnDk466RHPPKRJz9m92F6cwwumPfhs7/zjqe9YHR0NEJBMkdFjPE7AiJGfA80C2lgK6iFrEfz+I4Xr7f+1duSMABB//x5z/3B5/oXTDMh48ceAe4A0L9g7jM+996vv+D1lZniQ9SrCr0zzWiFNWXWK/FBUYqafB61nef/76ufnv1gWbh5lH/S05/62Cc94e4q+RDgwZnif3MIgOVgO5Ayn5adcqTQmojsPtDMRNBDedPZPRZ+iIuWNC7ISzSdWGqka8TvLhaIJGe1JjV31GFL95DQHQEOP+zwv95xXqRZUzkLxIOnUArt82/MllglZGcmduRSYRf6qF+ThxoCoqk0V3xMmqTCFJr+OOF7vGVoGlMTnqgBgCc//WmPf9ITy/JuBbOKosge3Ak/Z2jB27/+2X9/9mmmZAJWgA69aRQIoACSh3XB4KkNaEWUsIWdB+9KRIGQCAEje/VJQFT/8Nn37iHIDnsOuAPAwsMPmbf0wNv+uqrhIOruzgQgfdmr2UReZittCegzUn15a9kJDz9gN0iy/M2RZdmDPJvv36h9oKJHuXWs0BFGNqb2gBPFrFRywA6RJgcXWecCuO+A703tz8jPRHU9kdgkkjQnLIgV0TjNmf/m8CSsrQu3xPn8BIATccgsyEI9bAw6y6TYkQsxu3dy9pkFZmHFioM6ad0plvranTXWGWua+G6d9X+8KZc93ecmnqIs2xPileY44IjDlp3w8KsuvtSVbIVJkDBUy0TrqNqHjxAjM0NapgbvCoItuP8tBAQGQVm09LCF9yhd+SCPPQjcldanffmjX3n1v9224rrKRN8ib23BSSM3yA95sVwBUZFtD2i+ozgfYk6qIPXYf3vVS1506u6QZNnlw1lbdstYldgzdmvU4yS6vLIz7LxNIDGiSwoqANG+WSulkgW2QDKqZ2YXMn7B9NxEHSUPQ6YpMhEaGjhVPdXNfo2C0RmDs6b7mtRj5uCsWASdWqYjvjfdeYS8e4NCtsjETjkkJHJNl14RFqWYmWMncG3e6E9moLOcTSp78Xw6x1yxrRpM5u47amPMlNVn0tMuWsWef1sprd96+ifP+vb/nPORz/vKllQKGQPExr4IARphJc5DvxIOrt/RXJAgeEgKAGm197Ilp375w3vUediDPgoAzFww763/+7U7V17/yVe+eXx0rOnmFQSg4zuVOL9WigraOKX2MREyOaqttqqEv/j5z++/196PPuXkPYQG2elw1t5wzcq//OJ3Y5s33XjHbTfdcdskGxEgpL333gsADz/i8Eee8IhHnnLS7kD5/U982B2/vzhZoFXOEdqo9+J/JEKYL/Ygl5pXpfdbjr11oo38TArkEznjaq2lpphEbEtu9qn1zZxR7AZDwfsxiqLomznDpk7p+Dk90CthJ+g8ISPsGB2yFSZ2xEiI6KKjeiiXZEeshR1x0BLwvuuAAOCXQdH/ITwgKxtsh4Nuh6u9vfbfDeYtHtP/eN75F11y8aqVK++68y4BGRsd22/R4hbpg/bd/+B99l0we+6xT3v8oUfumsLi3TGsMd2yvOnGGz//hS/MtmXH2QGVCYMvTmoCehPrRcQwK2IjqMQpQCOohA0gRW9YQZg5PO8tX/v03kccuqcd/p71aQBAab3/UUd86Jff/8+X/euNK1aVVWRmggepj9ld5Z+fSVSgrsEK7RIqal/c3N1SsUNENYmvfdkr263WwUsO/c//+ujh01FreM9jw8jYf//Lmy+58nK27q5qm5cuyIhaqAlx/W13IOCVF1z0va+eoYv8hJMe/bFP/vfQ8PCu+t8FoIycTMB3ZwmbYSb4PCeLpxGcIkUJ9WNE76snA3anJKpzlbOWbVOyP6lgB4uDlEXvRXar8JBDDtlDLpbOskMOOcSqBjMDqZOOrQAJkl/1C5KgYrboCJEcEzi/AIo18iIiisQ/JlWURp4SucfTaI1zlbWVx/cI7lWy+hIuxe1azn1sdPTf3vq2Sy74Y1VWzhp/mb2L9PU33uhAVt5wfU40nPW3vnT6Cccc+46vfXbewj0o9Q0A1phV16z497e/46Ybbup0O1VVrQcRkULp/YqZnnD3GwNSw36ZBATRiRhxStAIejbGiFOAyCAokqn9jjzsnd/43G5tHb/fY48Ddz8GF8z7+E+/e/OKVZ949/tuuuEG0+16P9KkQ1SrxCRfR0TdeCVETXT95Cby6rX+GeDYTnSuv/LqFz71mYcfuewL/3PGgl0Hjg9kOGtvvGble0591bZNm+8qt2x3psO2QDVD5f0q86x2jbMM0Kku+dW5z7nmKV/61hlLly/TuyRkENEzBzrOtkknIzR0vse9WRzJLNoxKyJFjiJBXEfuwo49887OQ7lnY2Lkbhqm4bbhImunVsGyEe6ylXZ23CNPnO5LVI/jHnki5LrbMW1KkqWcVvrk4/S03keHjIRhxqJz9blS4oQ1sYoSj80SGoil657jiryWF2KylbXedzS58k46q2cO7CpHN2PMddeseNVpL9uwdlQjtgCAwsM1tCMrmGTbZbvNVpttOVPl8pdLX/bYp37sO99YsseE8OtGx1576ktWXbPSmkoAlEhOikUcimW+sbP50PZsEREgAeDQpgACLKHzAAGgChcUiRwJEqPOIW+39jnk4Ld+5P0HLlu6hxzsjmMP/VjgG+Eetvz0n/+oKru33nDTe9/xruuuv547E6WtvItFcgxIxmYq9AGpca7WVhMZkoKat/H2Mf5LtHzDVVef+oSnf+rMry1Ztmwaqw8BYPPI2Gde87aL/nLZhmpys+1usaVC7KcsRypIhdVJXKBEJXQQkImR9S9+6jOHDz/krO98e2jhA31KZa0im9E3zqaPdVsyL4GUxFJqZGftmEPLn4/cvazx6qsAAIAASURBVPRADEV9FSBHS3gXcqcNWA9SQoH8CRY2PfVRoQTWNzQapvl7UmQ0f2hBl61j22XVJp1IJCOModgZURDFoQAyIrjk+ONHKmFURJ6Q8WZVsYamPue+kdWmh6KP3z3KszNsvT/1JNsJrvSMdtbaBeTV6MjIi1946tpVN5CTfpU11NxCTb8vV22TVoA5KiNuwpnrO5sO2OBe9bTnnHzs8W/76qfnTGsIb425/pqVb3zpK9etHdEAhMrXYlHj1YHc2NlshQ9pzwb2xU6oYiAPAoAEwCBQikPBjLTuax+0ZMl7/+vD+x9ycF4U04sbf3PgHiXJdA/Ds2Y3Xn/9y176sv228lg5YYVFZLMrPV7nSP0qG3dmsy3HnUGELLXGRRULhUgQKmpCL7Kmhz/25E9/62vTdZ02j6z7jyc9b/XGdTd3t2yx5VZXaqQcVU7JoyMZ39Q+vxB7I72NwPCRS376m18+8Pj95qtWfODZL52L2bysb3bWGsiKnFROKiOVKZ2psBMMPFUwrMQoGBBUwrxUHvsa+ci/C3uTGm9yH3dcJTbasAWx7w7bcWe2uWqz7W6y3c22O3+/vS/6058GBgam5QLtOMbHxx/5yEduvH31bN2ao4tB3Zqp8gHKWqRzUjmSP2k5qnT2clK50hmpXHmnbNKomoYbFG2qdgbujaUPW+NcFR+QFbvtptxsuuvN5Eap3v/jMw86etkDPDpr7TOf9OQ1V1+vkoZiUiiLzWW+kD91iSf3JQKco1sHtwb3nTv0sd/9aPY04buz9k0vecVlf7iQrWORdJsEb+um0KOwFa6EFeKgKgZU7teRGtDnpvtVlqEaLvpvn63O+ua3Dlly6J6csZsy9ugnT88HzbKBLHvYscee9/2f/OFl/37X5Jb15eRWV05yUH+e4MqzGUYcA2ugJPbb6FalFMWHWJjh6vP+eOOKlUsfdtSDf1Db12344FNesGbT+tu6W7c2kR17kL0B7kRRvg4iuDPIpmtvvuGalYc/4EPYf9nSocMP2rLi5jaZttIF66AGBsA+3iRhYUfKkbIcaGKAoDGW5GKYgxSqF1Gx0acmyX9WMQdovEpqNA33/clVr07ySY95zB6STfWjKIqTHv2Y7956Vpdth3WLbQuVJeVpGQTwbeghfudoOAXBA49FFBOTKEHiCO7BoSkZ+gIAJqECn6gw0cWtPofsumy93PTQEQfvtyvKfK+/ZsX6a2+p7QMT5wYg6BW+hIBdiHTJv+9/txS32XZv6W7Vm+g/nvT8j5z7o5kL7oMa+64a11+z8qrzLtJOBIljkI4g8TMDCAFwamJSgEZ4gg0hzlLFgMpmqnyA8pkqn5nlw/nAvn2Dj/vWh+ccsQeVOd6b8ZAB9zSs8FZbTlhjhJ1Ixb6KJvpQi6uEsZFira2DEAkhpWGTvDsyvP8Vr//yr388d2iBs/aqcy8EgDkLhxYeuF/6T4N9AggA5LuoTMVZ+/3X/cfoxo1ryu3jbMbZ6IjpSY4jkk4YXecpBlOxoAKERQy7d7/itV//5U/mPzByRmn1mg++5/3PfskEV22nW6SFmlKzviBdaYpMMVIjoSq9vLy4GMKncu+Kp2JTbyuDM8Ilu64kNXyLmX7xS16yR3UJZFl22ktf8u3vfid6b6ku6RazIkYBBCBGIkxJOpAYBwKAB3cSJ6yYFBFx02q1NufzP+ka+O4dhhOdZdiV7MatmXCmg/KuD73nga8+14+MvvPlr80cZKSU78yJbVYSH94OmL00CwAIA6J4iPc5eXbjbG4vt2Ub6bv/+u//8v0v7hJK2hpTlmXTkirtjd5yx5a1YwJw5OMfrbTeOLbufS9/nWbwnyoiOzuJvyAg6IVlmrXt6JcgJbmMqYs2R+WdpLbZcrPp7tYy0900HmLgbjZvv+ANH95STvpYr+vtjQKse9tG9vK51FMcCdQD8R4iKdVQzt1Sve0fX/TSd7x5ZOUNF3zvJyDCIksefdxVF/7ZCC84YJ+bb7zpyMc8wgi3Z83MZ/Q/4oQTTjz5MQ8Q5e9Yef0lV/zlzmqb9+pzIgWpWgMHSANqQA2UkN1jfZJC83+HRRTi1pF1r3zKP379Vz99gPi+/7Klcw8/cP3VN7Qpa5GuHd9FuK7wU64B7unJFx4CkGRVhJmTQ7zzJU81vvvGBTZNs01xXXadRuT+8GMevnz58umed1PH8uXLj11+9JVXXN5m22XdZdtFRYjCQWg1Ijt6WPcQ74ldRaQkiJwEZCckSIR7wHZsgLvlYHKQwN2fxg6bCa422u7c5Yfsv2zpAzyodSOjr3zKP24dWddSOnnD+msb5C1RWAQFXEg9ks+0ZxgnABCjTDjTQnVXNX7R5Zc9fsV1D4QpMsZUZfnn8y+85JJLzPaJztbtGdLKP15y0CEHr7/ljhz10SedeNNFlxESID7yBc8cWr7kGx/55IKtZiuSQ2ARBAYABAJgERDfuCQiUS+sB9yFS3Y5UimqwzZDarGu2G0sJ/7w+g8+56dfymbPnO6pdx/GnsK5W2OrsoSGcY3s0LAj1l73lk9fctGf1nW2exJjq63GudoeZf695L8H92wnWnQ9KtIeKHNS++YzByhjkBzJQS2z7qPIRkMNd6OPjFHIWh39mBPf+ra3Hrpkyf0oOXfWfuX5r7vg0j/f1N2y0XY22W6Gga7NkLwufNb82JjckEP8nshZEbHClbMl2/2XH/G1c/7vAUZwN111zbv/8dQhas3N+gZU5g3vPXesibLgqqo0ovfMTtcrIXujnYej1gr7qrIYtnPDZtOVDXCfcGaLKzfZ7ibbtQp/9dvfHHPssdM9PXcyLr/88qc88UktB7N1a7ZuDeqin7KCKEdVJMIdVUEqQ5WRv7Iq88antT0QKYzCs9EXKNWeMggzW18ww7FtO654KuYJV603nTHufPSn3znk6CMfyOFYY1/x9Gff9teVBWl/odMnSZKTDeOhHbWeuBL22d0u24LUPN0+uD37ccef+Lofnn5fg3dfXH/D9dd/6lOfuuqCP5HlzEmLdIt0G1UWTf4ypBbpHKmPspwoR6WQLDAIbLXl9eVmw87VXWapXU6SG0SqZ/WZfI04oPIBymaofIbKB1Q2W7cGVTGoi6HWwKMf8+iln3kbNo7FP3v8PsYlRb7HtHRN54dw1pqyApAVf7zk4t+fv/rOuypxd9x55x1rVs8anj9/8aIFey166UtfuiSi58brbrvqksu2V91KuBQuPY0bKitqoWBvl4XQqyDWozwDvnl1XtZe2p7rGW1ESFmXCWdYgMUWCBZF+7YUFA1BrKbLttOtLvn1uU//7e9Unj3usY9901vefOTy5fc+02LK6rJrrlxnJkuxk2wpVHD2VHY2trp4P0A8EdWLd1DChAgWblt17QPPHxywbGnfsoM2Xn1zi7RGdCKOyN8SGStLrIU0syZSHGiZqGYeVu4B3JshvI/cY/AerJMjpidkr9h1xXXYTrAZd2ZB/+ChS3alMvMuHEuWLJlZtNdt31KQbrMtWWlEYCUUeluCvxSAkAgrAF+lIQrFIRKyQiLkHnPtndEyKWw3zDZ1a7MzwuPObLKdvuUHHfiAw/YbVqy8beW1BemW0s1UOdTILijohIEBgGN5eCBknIifugyYIU2y7YpbZyYvvubKV5XVvQc7a8w1V1/92U9/5vfn/cF0yzZTm3RGqk26RbpFKg/G3KQRFaCIaKIWqQGdpxiORQaz1uLWwJUT6zdUk+CrG30/apQc4NreBxHEI4YVMeKsqNRbV7KtSFfitpnyLxdfuuC6W+cvO8Q/e66//vrvnvk/69es2bh6dNvYhr0XL953730KUov33uvYx5209FHHI4Au8mkE+un5j9natatu/PWXz1zxx0tKsdsmJ8dN15uITjjTFbfhpq2rbri+w/b73/luu2gdsXTpG9/6llmf+pkxxgp7HmYHZWC2wgySIUUP1RQTQTLA9ZezQHXMwNCiYkAhNR2Z/ehnM1dkU9UZd1WzD15Hiz7NpMAqQGS7ZWLip2ef/dtf/fq4hx3zlf/51vDChffmDNx5481by05Xgul7jiqJJSggilIKNb4TKaQQMjfqKyDWVCgmETG2+t3Zvzhk2REPJHhXWn/yjNNf+4znbRnZXpByKE7IEVtRljgT0qw0sWLS8TOEUsg6eIcE8V5UwKNDCjmrBhUzBd99tcwG0+mjbNnSpa09KZXaHK2iOOLww/982aUbbKdFqs1aIyVM99V2QCAsAsq/LyJCipAppPS59h6oLcJTsSuwiI0ZaePxvSm7xLzJdqpFc75wxlceIIJYY889+xzloNC60JmORfdeVt5fRGL2XBOE+kCvd8wcJyoDKiAnopCUsLeA39rt3n7DTUsedq+ItdGRkVe/+KV/ufKKSVMi4CxV9PlonXSLVEGqhTpDysgvalWGNEPle7UG+lUR+tUxEFx+Sj4+61vd3Xbx+MikM+GzCzIkKkYoyPSit2cyEHvooNlp4Up2Vrgy5trXf3z8bc/83Gc+s+LaVZ2yVI7bpNuU9ZG+7eZb1t96Zx/pm1T2lx/9ckZfXwF0+GNOOOXVL154+ME0HRA/Df/l+LqN33/de+5ccX3HlCKM4hRLgWoSbBWXSxCxuDKGrb388stf+eKXPGHu/reMbzyoGJyn215+oGHiEew7qH4a+1A9Op1HlFeIw8XAE2bvV5DCeFOBj5YiQvVJNmmNZKIRG5o2rhLfgRJeou8ibIFysir/fNml/3DS48654PdDfwvfnbW/+dK3Msauzxn6hqygdFZnAmLKl5JecTIb8SjvDZJFwDFbdCJi2HW2ba/K8gEyM/MWLDj9Z//71mf+8+bRbTNUbpGsUEbihCyS9sE7khfIhtrPOkqxh/gdWLxQYqhCazDsXMVQPb16iN/uqg22k6PaZ3jhl8/65h5bdqaz7PSzvvn0kx9328iaDaZToMqQQtgeqqlFWISUMAgCgwiqYBkWkT3BeuRk0uoeAaDpvGxrqaUA8RPO2EVzvnb29+c+YN+iqiwnt20vSBVa50prpZqhA4sQs0MHjAAgDOKpagw6H0HNUqS2PEP0UUsm8qsvf+vgL//333z8jI2MPPPkx982sqYS10T2VqwrLQLTRUXku3JUM3Xh0bxf5SrSXOFuFgCQmXnrwIE552y4ZaS7ncF5KGcMYTuKb0mtNxcMJCR6ZIoR1xV37eSGWzZtPXB87e9P+4lx1oI4YUTyZGOHw69nSAAozvFkyaRu+N2f7jz/L/ssW/Ksz3/gwVeLfFDBna3bcN3NP379+zaPrVcsLdJaxIpqoa7E3VFus8JxuRR88jjmBBy736+/VSONlRNzs/ZBrcEGJ1OLe2AE9GaonnT22pQ9cc5++7UHc1JTaGsP2UGjlVkj5aRm6KLjjBLWiMToJ4VQ8rAXYbDEA5JNAHTZ3T669hmPedzPLvwb+G665VXnX7TRdkp2XXaUTL2xJ30ftM9iElihh3WVKaWU0p6b8ZE7MzoEkMLplZddsUsu1twF8z/90++9+x9fNDm6NSflTSMtkUbKpBZ4UIQxT5JomdiB6UP4xM+AmAjr/klZsSsjypdsfUpjo+kY4YOGF//8/HOHFy16MOfnfR0LFy065/zfP/2kx908snqj7RakHEjEdBEOATsjMAmz8hBPgAnZIxsTEv4NcAdAcNxDbceGXvarHDM8+Lmzv7NLHOkAYNWlVxRK5yrLtM6UUqQwrQuZyXcq+69RBElEGOuY11fokqS+XOz6DArbK8+7qOqW7YF7gpqxkZFnnvT420YDsvd7Dp2UZ9IL3zqAAdkjyqs+lWlEBLDCOShCykgpRGrUcYlIPxQvGF5628TmczbdPG4rX9+DDaWBRjiIrskHADvhTbZ7fWfzZtsxIndt3C7CEBUk0pLUAXfZeUHTA1uzQn7Fm4Yzr1tx4w+f94anf/59cw878ME08XjwwL2zfvPv3/KRkZU3VqbyMQ6GCiXsMG+x5Vzd3uJKAkSxwuJECHxeHgUEBBlDudUWW14zseGQ9mAqw/AhPIPomo+J4I3gEXNA5S9buGxG1mrprL720WnBV+whM6NoIgYuJFwGxQ4ZGMWhZKSYBRAEQQgYwAgbYiNskEt2t42t/cfHPP4nF5w7vOhu8X31TbdWxlgR3/qRo0r3OUGDTWqaeiMqQoWkldJKaaWVD94RQcSyAwARLnSm64TcAx1zhuZ/9OzvvP8Zp24f3ZijyolzoZyUTaQnkhYfuUfOHYR7yZnURcJQ161WzClg77L1UV5H7FZbbXHlYQv3+dkFezqy+7Fw0aJzLvj9P5z02BtGVrdIzVSFFbYkTkQokOwJ6JnEsQo42GgRClYzUFe4+0tYe8SzpDpR/1xsDc/7r7O/vauQHQA0UaGzTKlM6Uxr7QvK/Md3LvYxgTdJZxRvMB0tScHvB1pJAlBW4iadMaZafdOtB999zczo2pFnnfz420bXVsJWpC/WFOShmy/Aehba+lQwHCblIwz/TGQP1giKKKPQKUZI0a9QWjpb3J7xldVXbbVlo1RafHyXgL7HmVmEQe4otxnhFL5ANEVEQBGvUAAE6DtUZqpive3M0S1FBInwBehs3PKLl7xz4RGHnPTJd7Tmz35wJueDIZMt1m1ZdctvT337plU3I0vstAQAcAHgLAAoxD7S/lmdRXY7FtjWpsmhRw74lu7WzbZ0wC5ix5QVVmpiQsQBnb968VHzWgOzW32zWu0ZRas/L/qyvJ3lrSwrlPYNhJpIh6IUSkl5hZg1uop8zUOIIFJMQSpHxSCV8K1ja5998hPGRkZ3ejactRd+5TultU5YI/lFRlQXgBi8RyopEEqeA40NjaR0uAlVpnXa/Jvb1m/ahb4WsxfMf8OXPzGJbrurwmarCWc6znSc7Trb8bXeoeK7ue+6bEu2JacvXSlhx7skT7AZd9W4M9tdtZ2rcWc22M7S4b0fKsjux8JFi8654A9LFu69wXYnuKoLt7iacMYLsJTsSrElu5JD8W7Jrj5j7OoT6FzpbJdtOr2Tzo5z5bt2/SWYAPemL39iFyI7AmxbvylTfgr5qZWlSaWV1qQUqdhM20hoNW6xRglDYCydSIa0zXQv+Mq3nbU7/a/HRkafc/ITbh9ba8SxSBYB3d9oO8B6s4QsbE3q1a9u/SHkShc6a2f5QNGa0WrPbvfPb894w74Pn6WL8CuBv+lZ3EMIUIRBOmzXVOMN03bY6Z0Vda4wR+WJHZ8+7LL1vghhIevcxpU3/eHUd2699lax7kGYmbs9cq82br36XZ9bf+3Npuz68oBEhvhUW+oO0FEZxiKnc+1pB0CUIFjkzz4IgAPJAHxy3EeIvTxMfcH6KXv93sfMafX3561CZ+HJksr1mC06RBdsQUUUsvfi8sXIGsmhZCjON7yhMJBD0Sg5KotsiIyQITKivNLI7WNr33jaK77zy5/uSBnbsrrxgosZxIJMOJPEYjAie1gnYnpnihsJKVIe35XykTsAIrN4mlTTLn5g779s6eBhB6y9+vpcYjAlsYeWKEMiwNoqWpKVaLhJJMbvDFIlXAsoH1/FddlWCp94wqM+d+bXH0LI7sfwokU/v+D3rzvtFVde/VfjTJ3hp8irkFhRBQmjSk6QKWaniDPYqKhjEN+yGyksTpnnhYcveeBV7VOGJkIWRaSVyrRSShOiiG+xdQLCQo6JCJEJ0fcJAmJoc8C4HzIG4m9wmWA7W7duvOBiu7OaGWvMm057xe1jIy7p1aDOibKebj7S4KuBMUJEXSIcCsko1pJhSEplSmVB6UEpQkICKFpZXujszfsd//Hb/rzNVlCTM+EQ0plngQHKjTiOQmmpn2vKITSDyHBQwlaky1YhKnFK0MVFrQB0N2+97DUfmn/4QUs/9Lp87u51Kdi94C6Ob3jv6ZM33IEshDVeh+9Gt0y/2qEa0OOKFYI+qgRyZupwIFrAAft83U4jd4X0zPkHLewf7C9arSyjuGxo6qmSS4AvTijYaCHHMkQObaJEjsWhOCCN4QcyVAWyRTbIhrhyzmPZZX+9csXV1xx97DE7npZ5ixfeev0mJ2xDYjbMnLg2TGtzTK3rIX4npChIQs2sF0gsbkC1q8FdafWBM778Hy9/zeqVN3SdLRrgngtlqBRiSFk0OBm/hPfvcPSiK0P87uqIlW1HXJftnEXDZ5x15pHLj9xjM6j3PIYXLfrBr3624uprXnnaSzePjFlhK9oKW9IhL0dshQ1xItmbAW8QzY8TABCcSBU8amLaWZxTtNfhSz74zdPVrqZuFRGCQ09Yxzr3mIoSFnJR14yCvr/3HPWYXneNAtS7DEIACmne4p1TlCuvvuayq66IJbOShDf82j3VAff0qUSIV3X/diwRplQo7FNT2usgKRXS/kWWFTrLdfbs+Uv+Z3SFFWgiO0Zj8lDrBcC9eJVGAqLU5oX1UiAGNyA2uALXOnE+hHfWTt5wx+3/+fWDP/lm3J0U/O4F98mb7rS3rMUa1lOIFxv6JVEu9ZuQwtiYU93xtEI86QyyMBu4yW3yjZrNiN3/p3u3Zj183r5zB2YUOlfUU+Dldcajqq140Y84abh3RxSKBnEoDtkKeSfGoC2MlJMqhC1yF52PQaqqes2LXvKz8383Jbmqi3z4kAPd9Sv6SLu6p7nuOIXIujYTPhHlm/WdIZYXkKZI7NwFC3a+enwAY+7wgs+d/cNbVq569yted+tddy7KB2IIHyIsaJbKhJO5k8i9bJDsft0a6tn3WvTr3587/ICFLad36Cw7+thjfvmHc0957CmbVo/0q8xK5vHdeKwnLiSlUmMSNdZcYQPiASDCegD31dX4Pvvs84mvf+mgZYfvepE7hLkLFmxdPQKJDyRCQMGATX69jfEDJp668Qd2MpxIjgpAFh1ykC7yKd8dGxl57akvNdaE3DtIjpSRyqPGn6o9kGv5v+CHXFeU1W3b4VdCRVnNz2ilvPGAgLSyvJXlJwztd+HWu26a2BiWx9GSPIaDuFc+Q0DgHoePODGdsrqhtz4Z0V+3LggOrANz96bVnVtW9x267+6bkLuRc7ebto198ExhDqJIPi+aIjs/AranTEW90c4em3F103wQAIMc1J6j/TKxebUQNeFT5x2w1+Ccme3+/qLVV7T6ilY7L1p5nussVzqIHfoVHDYf/tRoIKq1aJIvq0oak8nyiXyqhzi28IyOjT77lCet6yXfldaP+JcX9GdFJSyww3RoDmzuYP1PjO1rniqdU5C9Dj7wb03L+zN0pg89evlXf/XjA45aNibd6zubN7tuYoHHfZMwmwk2E0HHzXhZBU89h/fZbHfVdme2uO5G2xkzk5ttCQD//IIXdCYnb7vl1vHxcWPM7puTu28YY8bHx2+95ZaJifEXPP/5XXFjZnLMTG603S22TBS8Pw/Ns+RP1Hj6ljMTzmx31TZX/f/Y++84Sapyfxx/TqrqnrRp4iZYdtnAJsKSFEHJSUEwgBlRr15zuOo1XHO8hqvXnAAjJkSUDEoUCQKbA7DAhombJ3RX1TnP8/vjhKruWYKyM7v38/2dVzP09Mz2VJ+qep/nvJ/neb/36HSnrj5a3dVL1dlHLPrR9X+Yf+TSMZEvJZhx6OzAqkEo9S0MNupJ7Rvs9TtSjDeI6Pg3X1THyfT39F548pm9vb3o3T8EY4rzKITk/rYqykA5h+QilDuU97jPQyAvHL5LGUkVK1WKonIUl6NSc7lh+qQpZ7fNEUwA1ATvAKAYn9cwWTIGTxG2A6ubipyQqZuCoiBPiN+DIoA2ettnrsBdQ/v+bPoxZpG7we3//SszOOzNw8JnztUFCPaKQqy4yxn9s5BfpUKkK4EtbmpbNbQNCqeKAcxqnPL8qXMmNDTZBTxIGBpE7/jMXMzOUXLh5ZwYJ5fGFAw54xzyTkLnkOsuKcfYWMNcyxWOgDbgigr6+vre8/pLf3ptDfk+be4hJRkJYM1cDaB+inmAQpYhTFiwZ3N3IhJYEUa0ErvGlFoax+qcAkzpaP/FdVevW7nqW1//xvK7/r4nTUaq1elRc8RFXgSZh+3hyiYkMIQOyLxKhGK8UagMzQ+++e2f//AnADC5rfX4E55/1hlnPv85S/eMz7DNinffdvt1N95wz513b+8fYIxVqhXJWMxUSqYvyxq4bMKoiatGoRpI2ix66LFgeRSfB+8Jmu50qBzFOhbHnnLKO9/7nvlLFo0pYVVqadLGUpX+P8aDXZS73Fxwlvd6+HWgdm/txf0lF5zxchRPm3tI8W/pLHvP6y/t7+11ko2Wk+GWigkeDEHA1clA5ckn8C/WGibbQN4OmzyQUiohIymVlD54B0SMpDpp+rzrt29cs6e/eGAM2GFNrRLANrrXfKj8dwCe+tvC7+dFYkGNI3xLAAxYsmdo91d+PelTl4AYkyB7rMA9e7wHnuzzTfKMCpscymnZHOj9pVIk5J8x/sx/gTFW5rJRqAQ1FBbhl3UuaG+eWI7iWCqbfnRtk8Zw4/ZiFhwNF5wjRy7y6hT0+ungygMI7O7A1oHlPn95ohgU4xHjxqssEaNVy1esWbFyyVFHhqNVcbxo8aItf9+5XUs3G4yIKPdEYAT5+heYT6/N6Hr6GRmwn8ja1KVaZ8aUmpvUWHZ1SqUWHXnEt37ywyRJHrjj7t9e+euH7/ybTBPSxvPsoY8piBIDAaVohjAbMqkmahIqJYiZ4MCkUNygGa5Ixnc9ufW6J39z3a9/LyJ1zEknvOe971u4dPGBCfFZlq1avuJrX/vafbffpdMUtLGMigGURJIrAIhBJGgAoD8bGeKyCVUjVxETo6j2UA3p9ps6FsedetrLL3rl0Sc+Py6V9o3T1lMPFcellsYMdaq1kkaj4egU4ULcUEMcg0+cBzXgwhP01SZNQpU4X7J4cd0FuWbFqtXLV2Igoz0nE0iq3BLZB+x5TUEdoENRUzMvKrNdfsoyM1La+k6wlTWEWuu2lgmvmLrwc4PbfMskAECjkA1cZmiKtRvPOKj4tJaUAGYZ/Py3yMfvBASMZRu7s8d71JxpY3Fax+aiMSh+e5eEvI+gjsCqAfqaV0Lp417QPcB/LlVXSLJygLmNk1cNDoTIXXB+woxDm0rlUhRLpcCKXCEJxEL3nTV6RsExbPFCOrfon8BDnxHVXmHEORhfXMU4Y4qJjDIkQgYIlGX6fa+99Fe3Xh/0GoWUZ378XX99yd/tHe7vFsBwh5DTyKacws7tpxHRGAQAzshqB2ZaJ1ma6sxwdvJLzh4H4xGplFTqpLPPeP5pJydJ8o877v7u/3zzsQ2PVKqVJE1d5F4Aeq5UwjQjJADbG9zMnRhIxHmJScbA5A1raCrZfdff+vKb/nLwovk//+Uvn7vP1L4dvT29r7r44sdXrZWGJOMNjAkRMV/vDABWehqJYiZSMpyxIZMyYIlgJUYm08XyGIvsUaQaSuVZcw/99/e866gTnz+ephBSyRe9+OwbLvtVarTKMsGdgAcBEKE2aIyx1onkUN4mycGTyA6ufHIFbFl4zGQsotM//s4iJzPQ0/uB171J68wl24FsBWSoOak1uC8Aeigx8pY1heRTaOF27SC2nCw0hSgpQSoQwubbJBfNjJ100PwvPXIn+LQXAzancTJ/CsLgXx5Ut7WxvudERKS4aFCx+v098IELxiJ4HxMUoE399ESfbbGhAs0EfoWHHLtzwr0u11qcHfIonpeV2B85aWaXe2wSUQjeAWBOc+ukclM5jkUUg5TABVgxDGMEA9scH7yJbWNbKOHNVfpCYSJzyG73zsJH7rWqNUGTgGGgTxht6x/4yof/63M/+k6A3dmLDzvqyCP777mzLxsxtt+HERFhyLb7V3LvOkKBqBlaH04kt3YiUZKlSZYlRs9YNP+QRfu4SO4ZLiClpFInnn3G8047OUmSx9ZvuOLyK7Zu2bJ182YA6O/pYwDNLS3nv+Jlm3q2/ubKK62MX6hllq51IMQB7m7XXsNvy/K1Lzn1jD/deuMB4nYLAH29veecctqenv4GLpTgVm0/tBPb4lQJPEKnpaGQSzKS8RGTXfDSl06fNvUPv/7tnj17GGPtnR0EMG3G9OnTZ7z+Da+fPW/u/jL6OWTRYTMOm7dl1TrJU84ZAOTKRYjaGIvvBq1YP4Yo3mI9QX3DWsTERBkvO+rIoqiZzvRXPvKJgb4+X5HiflkC94uci5BCH5/wNSkB0z1BagvMgdXE8ryuqMyiPAgJQoAN3gmAc8FgUkPToRPaHty+1R5bo1DNIvJhO40CIgajYPoZhy8byf+h29wQGiSNJtFpeWM339TPZu37y3sMwN0gu32NTW4wYFjYhgRQD3RMoTvpmUex1so7d0LOZjDgjM1vbl2xu48BCMbfs+AFjXFJRDFEEUhlF21AA4wBkEQyaFxZobsk8kuqplq+tmqesUI/XrEVFvIttmDMMTO+FvCxdRuKki9Cynf+8Gt/O+G0g0lvqOxEm4a1aM4g7+Bnrr+ZEyIxjciYRXay2gMAgITVLEt1lgG+fV84NvyLV5JSUqklRx35xSWLE6+Daju5kmr17W9886qNG0pMNnBZr2lsV1ZwbqxIgICKnA4lBzbUO3DBqWf9/pbrOw4AfO/t6Tn/1DOHegfKXPomSSYY5wUOnRgJYlJwQ5gh45wJ4pIMAF191VXz5s69/De/KpfKABB2JP+CavS+HVLJt3/2Yx84/1WJ1jY1FRJU1qTbOeKSxfeC6qcnYexz46zscE5pUuvEyW//wVeLYXuaJI+tWe9qSMjpsBIUAD1ESL45KNgwMKv26m80X0iaN/qyGoi3pcNcCME5h4DvQgIACA7AYsT3LXrR6+/4pSZkjM1rbuU+j1oc/r7OK+JHEw+jR4GKKPCreT88oWVt7ee9fQ3MbN/nwfsYEPnaQM8u4MwghrA9yEoFwi5wNQH168J2ynmY+hn3paU1DL0dLbLUJCMCOGxix+FtM1UUgX0oBVKBlCAkcAFcQIB17+wRrjBWi+2hQC0XZc3Peq5jw2shnvwVbz/pQG/f9v6a7M2E9tYv/OrHQ2Ak47b1yXjN4aC0VRRDd3Y81hxZZ2mWJllazdJqliVZOpQl0w6bN2fRwn1/Qv/JoZRq8mP2oXNmHzpn4xOPr3psg9TUwGXMRMxlxEXMRe41mtuNyliImMvYiUbJMpdlLnf19L301LOequl33EZfT+95p5yxq6ev7KQKZYnLmMuYi1jImLs+Z/ewjfJcRFzEnMdMNHAlNa5dv+7JJ56wMxMm6kDIK8xedNi0w+YOp4m9qKpZmmRporNUZ5nWmdE2teN8texl6S9Xj+muaStiYpjTZ3/1owmjbPa29fZRUBxye++gB7W3JsSa6CqwMZ7Uym/XvJ27EPtzzhhwDkV8lwpkBJECFR3ZNmPRpE4CaBRRi4zrChhgb4QMe0qWJmcoaqlm+5zyTIVt+2IMiZIsA2DQsxPGoGd1DMB9sAKDFQAwxjjZrxBl530u+beQF8AQ1DA2fjl4qopaD64++gcAEJzPm9DeKKOLDjq8rBSoCFQEMgIpQQoQ/sEFcJ6v+TmOh/A8b7liPpD3f5sVvtQG9R7i7c9DrTcCpGny2LoNdVO1cMmSU48+fnZpou1z8a4C/lHw8HV2PGgyY1KtU60TnSU6S7K0miVDadLc0fbZn3z3ALRj7+/t/eh/fMiKo0bWtsIph4g69+1IyEiISMhYWEEIEXERC2GRdGd375te8zq9/wolsyx742teu9Mju12iIgvr/oBjbg/bHbxF+di3zkeMl4VUBv7jgx/s693PC9XoIZX87GXfa+psHc6Sapb4uCFLdJYanRqjjXODckLEXtbJAJqC2JYmnFWacNrRxy9cUu8fct8dd6VpUoj0w66bhR5Gztyj0OcBUOgEKeB+XRDmQjFe2FdzW1bDhcd3AVKAkiAVqEgpdfGsIxplNHdCG/fdfz4V+gxUO3uKnxfzq6M7t8Hv/i08SiEICHaNjMUJHQNw79sNZLuE0NRUFIUQvqZOJk845Dn4kG8OM7X3etOwSwsTxxmbXGqYHDUc2tImhAClQNUH7OHBfJVmHqIHtYm9nENW+9frW2FDh5s/cAaeiEQio/UDt96hsxqFDankJ37ynfKkCWXbx+jdYXxw5J87uwajjcmMSY1OTFbVWSXLKlk6nKaNHa3fufZ3bfvJbP5phs6yt7/2ks1bt5atEneQ6OFc2i5zLpQQEbfI7lAyFtJqz0ZcRFxGXFjp10dXrlm9YuX++iyrV6x8ZOWakkN2v+0Q0goT2YOPpIxs5wSX9nMpFj6plSAXJS4Htvb822tevx8XqqcarZ3t3/nz7xo7WofTtJKlVW0jd50abc3NLbKHq1QTmRqBXMwQW0TUPGniJ37y7bpQQ2f6gVvv0Lbi0mvCQ4iRGdQlugqb5GI1Ois+CUxp4UnIkzG7K4cQvLuHcPy7lMDF3Altk+Ly5FJjsJ2hwn3t//jeRx6jhpK2mh/V/SbUvB8DS3ZV0xSAwSP7frHf1+COCI9vt8fNGEfE4g6FIMdrqsmjFjIVVDNno6e2+GI4B+TR1K7VxGB64wTmTqQEIWrPbk635Ju6YmheOAl7PbE1Owmb22F7X+pt4sgedt+WrcGUK4z2zo7f3XbTnI5pHFiCOiPjncAoFwW0XqPWuggdsld1VtVpxWSljinfve73rQcesgPAw8uX//XB+xq4FJ5hD8Igymo82eDd4qO0DwuRyiKmi38ZL3OpDH3ja1/fL11OWZZ942tfV4bKXOZ8i0d2txpJabvbIykjIbwOXXAOCrpXrIHLux/6x8PLl+/v87OX0drV8Z1rf1/umFI1WUVnFZNVTVY1OjU6eJoHI4uCIrFJCatkylwe2j7tyttunNLRXvfOaZL0bdlq72Ab8Yz+66O2wsWGl5wUdX2hkPf2sdo72u2ei5E9L3g9WFjgHDif0TDJt90yBkH9u7hqwN6OEwAKHZX/QpoVgDOuveImPLEdcB97cO9rcNcIeyoATDChjabiqK2HoVH4TrW0e15O+xS0TB337ToDACIh57W0KdsMMQrQc2kCeMal+SmT43Uvsqe+CCBvQa5fzMPomNp11e23LOicfnA8oeoNRa3Ea+oeJgsC6EbbR9XoEZOVOqb84Lrft3a2w4E3dKbvv/bmWbwxSILUSPpZU1Yr4OdhPZYq4GMsVSSlEsImXRUXJS4euPPu0QvkOIw0Se6/425rHGG72z2P5BogY6lipdwH8Z3P3laFC+4+te+65DNZ+d4/31S3kztARmtn+/ev+32pY0pA9sToBE2KOkWTIlr1tzQ8vKHYwvKUwzqm//b2mzqeQu+6WAvvX6u/cYLKY/HFUfdXoGqKsXy+5WbFhSAndOoofQ6MSc4PbWktCZU3mRS2AsXj89A06k6nuv/XlT8Wc6oAwbCMIDVaG+2U/vZUQB/g4O4+jqveK+ZOCzUzeXAe4LsO0GvLJevP7l6wnuV5bM7YedMWEMHeAb32rORJ3eKfq12I8848qn+xmP6FwrVb3F6gzwn0bel+qgnrnNp11R23Hn300W0tE7TkwTnaP/LbyamycDINatmZJ//4+qtbOw/EmB0AkqS6aXv/1nQobygP9chWvU/4NhNhA3YVKRUpi5JKOR1mqbiQTFgBH0j0PbffOf6f5Z7b74Q0i5mwOieWTLe7jdjuNlQUych+CiWVyvHdw3rBJlcC69cjT+7oT9L9sFA9m9Ha2fHj669edubJWI6qHCuYOeFiNAlpJ1RJxhoSJGgyyWY0T1529LIr77i5/amdDPq2dIe+jb3+Qo7Zxe+LT1khbK/7jbpv89AxvFL41iuVINFLpy+0lWdPFX8XeYLioL09L8LEKFQJ5LsDPyyC4r4eY5B/2zUCiKnO0IbStgaWChAPgVsv8uyj4/r8LIQprjvpzJ8l2wZi/4ngYmrUpKTIf92WS+Z/r5bYLyxC4PdlYatR81/xPObrcu1pGVUgy3xGZaD76Wi19q7Ob1/zmyRN1q1d+7Wvfe3xtet3DGxPkzTVmbM9AqYipeJ45qFz3vbedx1z4vOjuHQAZlALn5wNmazYkBKayHPLQN9jIoVzVwAAtI6djAGAITJkNHFBjAPbnYz86YbrTjr91PEsL8my7E83XCcNccGkE5XlqtAg41yxGADZEmbMGIAG33dGxlovFRSvOLEqhratA3G0dXZ8+UffS5PqfXfc9Z2vf3PTI4+l1WqWZU7NGBCkVHG5s631sMMOe/t7371g/vz4mS7Ige5e13xfV1RYP56pyZ8K91/xZaq5LSmQJsXNc2j4BgAAJcTUuElwEQKyIMwJNOoP5y/mZe+0N2QfHc1T0Jv0SUfmtU+AEHYN7/MzOAbQsGMYjDFo6mDOY3ouCZtPeY60NafPv1BU1qyf7JBF4QBEYFMomSncNkV1svBAAtdUjQXiKF9G65miUKNfwy+FwtXCxeL/amEj6NQXuqY9g0y5Nd04atmyy6+4IkmSgb7+DWvX/fQXP7/99ts729sXLlz4+le95tiTTthffS7/7CCi++/5ewA1bp1JguV3EHgSjpyxlalgq/iN9ZYiJNQoBLNKuaxTNfZu3pokyXiCe5IkvZu3BuP1ICqb64YL6ZQ2rOUhM0RAgpA4R86562oudmAyYH+66g+f/+IX9vdZerohlZSq6YVnn3nCaackSXLv7Xdd9ouf3X777Uj8tBed/MqLL5q3YEFbR/uzL9LvmtbVv24XeeuFAJH1wwpygC9bqY2sKH8l10kPO+twk/umbuSIgDVRnf91Fzunmbbti1ZglTFrJrXXwZg/mNGHXofsefmjD2ELyeOcyE10WjIGdh744E4AE2LYSYwLzrmv6wxnosi31EtSeCqqgLV5tJ7nTurXdBZKFe1sM8F5pnWSZWmaRNQIhNbYF4gA0T0IoaC3FTqtcDTMh4g+HGpe0pN3G4VceXEr6Eu13L/tmjHtWfYxK6Vstfis2YecfMZptidov/e5/Atj/oIFPRufCARn0QKRs7yNUHIhbOTOuRVUAJtz48i9ymsoZF75j4fG/4Os/MdDzaGnhjErXSIEF9aoSAhh83Xk5JdRECI3BSkLn3gPghbAAPr7+pqamvb3WXrmYammk8858wWnn/IvX40MoGvG9IfXraGnuJfD2EudNMuhA8ImHApbfxez5R3dRGhqtHAQEIGhOxSHA1TN0sxozjgBI+eXHcj6WvxmudyJ33jkCrWjkL3uA+1lJSAAwbj7hBNK+5yZ2eeRO0FTBECZ0ZnWTkXBC6HlwXt9QjXE1fUZ1zCVIWNe5MxqGTnGgEkhmkUcEUuyFIy2YgNulSACY3J8R2+T6GTw8u6hUc1WxSg+bzMLAm9Ye1osDSWChZ5/0XIO/+ywQL+vT9N4jAfuu++O224rtKLUiIfk/YRusBC5gzXq5EznnWU5y2rNzMZzMICYC2BY6JrxkiZeg5BzwZgLBDgRR+aXpLx8I3wEG6pwxjc9uemQ2bP394n6J8ZzvBo54579GF2fVmwgoiKm19Qbshw0Qjicx1u+8TUEaogoKL/lgRlH0iIBmrQyUk2TiFiziPYIMapQJxTF1Iw61KdRyL63f1R8ydd5E2VoMmMAmIXNfXuy9nVCVQloiACRiIzXx8mFLosp1mJVex3RUdg+FcWTi8nr2rLW/FvO2DBmjyS7qlmKSGAMGANGg9agtXtuDBiDxgXuDuIJEYkK6nfu4B05AHlQ77VfQmqIfEkMeGSv3XO47tZDDpunSmOo13igjc2bNleqlXCa8h8wz7QVC1HzJpRikiU8c68S0bT9IUIwtaOzUCLnPpBvcGOFQ89xvDbvB+Av8hAWjlQrmzdtGv/Psr+GKsWHLJjHa3bh7ubFfH9fwPE8HMz5z1GRlvuFQsyO5G9na7UGBgELOBC+GkOI1TR9ItkzjFlNtFh4Ulc2M/qEFr8tPqG9IX34FPYjMwAhBBBCQwRqH7sy7Wtw5xyOPRSM9ieBggQaQl3wHtj20RBfk6Yodobmt1bxJPiaVu6jwJ9G/dUsraQJpCloDVnmwF3n59X2BGm0ckjGIKJrqqYagVOvSE5By7TAxmAB38H7yXnDv0L/NINIyWPOPnWstVsPqLH8gQeTNEMPaMW9WqgKC/cthNt49ID8pwg0deaM8f8sU2fOKBy8P05f8+CPsFj169k9X2rlCq5sJs3KvaXp8gce3G+nZ9yHlPKYc06NlAy7mHCbeCNGP7cB/mpAI79aQv0DFQLHQljmtuIG7cOAMaBNjuxag84gTSppUsmSK2SPEEIKwYqhRW3w7ms3CiOUa9TysZSvTbX8RMC9wnViEBkAoIFjD4V9bZA5BqWQM1th2iRjtJOEdMFsToftJWNZU71SzFUGeM9lAEZPblE8KEPzqi9+9HVveH1FZ5U0wSSBLIUscw/tUN4YrY3WxhjjkN02gtZJV2NRa7cQtpNvsQtPaqSUXL7IbyaACeClKD5k7tx9P9sH8HjhGacKJX1QRnn6q5DMcOSon3xT8zBegBCRCMF+pc7pU+OxFKwfPeI47pw+NZxcytHEHXP46odx8rj+E3prWXeH2yiBK7l42RH7+yyN6zhk7txSVLK8XDFI817KuQZZfX4LciQhL1VGVHN7+rCs5irSxmhjSGswmYvzssxiAiZJJalWdfbaN17yqi9+NNG6qGqQH7QvjajbUO6tshr8cl/4thbQwgex/0JJaYyBaZNhZivs6zEG4M55duHzDWFmNNZ+HJ/XKGypoP7kFVcAzD2vAz0XxLnqmlTd64csXrDohGNf+5rX0MKDKmlSSauQWnxPA8obr4WkjbEQr9GYoIjkiJqAKbnCkQ/b/YXlFGCsPbcXUQJyh+3FjGwi8fgXnRSNDSRZg7fiOED62l908smvuPgiN2OhCMw/8YJTaNXCTTgXxmj3LWqD2iKlV91hUrzotNPGuVhIKvWi005jUgTocdjhDi8/8swfv8YQNOT7v2A8ZF98xcUXvezlL9/fZwlgb5fQGLUBR3F8/Mkn+bxLftuS3/U6pbxCtFQgZGpDQ4JcoyY42CCFyMDYrbnRVvWMsgKypymkSSVJRtLELJx58atfteiEYw9ZfFiBVRudTM2f+BSg3Y+GDUfg0v23OY4XGZpCasHrYmYXPm+fh+0wRnrualaXmj1NrBgyIQouUGaFs1RYkHPor9mR1bUu1TYjFcSDGDBgUspXfvjdVmJ03svOeOJzPxlJkkgqIUSQPjeIWuvMn3JLzhiHI+5uDLdfHUWT39uUC3th8XmI3H11pkV2JdWpL3/pvq1J11mWpOm6tWt/fsVPn9y06cH7H1CMH33MMYzB9Bkzzjj9jH1YNKkz/TR9oSGbVGeM19/bd8sf/pQvfsSQ2fnkbhFlyBG1MTZPjsSZ3aQiauP0L/3qi0ikEXkpnr1g3j6cxmc5Zi+Yx6NIVxJ3CTHkaLjJe9Y5R0cvWGkto7VP69igAb0wnL2KNOGtf/hT//veP2t2bkGXZVmY51Etmnaq3Tzvk2tJZ1mSJPfcfueNN964ZfNmBLr/vvsnt7VOP2jm7JkHv+r1r52/YEEcRftwKZVKnvqy866//jqTppxyfPc3F5hwi7Fwr4EVvkbnduBogPxFcDJWBgm5D9gRhTGCa24459rmuiVZlx5GRAbNSFIdTKvzXnYmE0IAvPI/373q5Zcwo113U2icIV/xtpcCGvB0G4Fl0PPTVCTxRg+38+PA4jnT1aynbPt6TrM9Fm8KgkevPqXy4Crjwq6QHHbrbZFzR6qN3KFm58JqQvVCOyorRPQ+ho/ieNqh7lZpPGJur65MTKqxUtY+EazHnr/3nBaSJd/Rke8aizekl2n0QXrx/vRP0ED4NXQ6vUASeNEYrFyKjzvphH01uzrTK5Yv//SHP3L/mpWmmoI2tgeScf7w7XdLxlfBPTf/+qooLh08d87HvvjZf9l+U2c6S5KH77znvr//fWTP4NDuPQLYQHcPEWzauJGIps+epYkmT+3QRE0TWqKWxgtfekH4czNmzjz7tNMvv+o3YU9jiAyz08UMoUbDDIC7DFA41W5Ar3+ZaZ0Zk6ExhBmalMzk1smt7W1jctE+7Whtb2tpnbLjyS0ZMxEXGoNNIwOwli816ucuircCihg04Cjo5VbJnH3a6TNmzvRTna1dseqqP1xV3TM0vGuP4nx7d1/vxsc54xzYzNmzOOPtU7uQsHHihIYJzUcfe+ziE46L4lj8Syhv/9ynPvSRJzY8miaJzjICMECMsP+Jzd2PP3kP3fGLX/yCl6KjD1v8X1/83NKlh++r0OS4k15QikpJmnGWl/8TIIXZs8ju0NwHTKwQpDNXxh42f0jc7wLRcNSIAo1Gxg3nTLvADkkbUwjyzEhS7c1GFh3hyNLphx4SxVE1qUJd7jRH9uJwCu8QWOW9IXtdIY2P7vODH9ZJ56tP/j/moVqeM71h7szB5Wv97GO+yco5mRrOPc93+yxlmMcivV7MqRZK4BlnfOmJxwfqg8dqwhnHDtzwYCmKLLizYKDq7z0bvGf5fWgMGW2lu3J8z68qQxioGEP5Fjvo9Iakf9EYzD7ZVxPb39P76UvffvW9dw4mFWcWwbkAHnHexKPQBUoIVEmeWL7q0nMvmL34sI988bPzlyx+lulco3VaTVbcec/1v71q1V336WqyJ61MkSVhHUWACKhEQEDbVj1CAH2rNgybjID6s5Frf/zzOYsPe/O733nIgrmtHR1v/uB7b7n37p09/RETgjkFY4PMANMMw72BHAXaInd776Hlyiyy20dKJkEzff6cMWK3nn5EcTxj/pyeJ56MSERoIOdgCQmlQGdtARQyB05AEY0mp5FriDRQRlhFc9C06W/70PuTNNmyadNja9d//xv/+8jK1cKgFUOOuYiYiBnjYDjj21Y9KhjbvfoxAcwA7dTVuy77rShFhz3/mNNffv7CE46LSrF4didXa712+crPfPijj61aDRoZsBggFspXedGwyTJghhEaMsOV2++959wzzrrg2BM/8eNvt+8js8P2zo49jw76WwMYMSoUIwQEN+DNDOyFV4jWDZFgNfjuxFM5CkTDLLJ7PXfrfMRFEPW1IDAwuHvimcfxWIVTvPSE4++6/qZiSrVQ8FbDrISK7LpqmUILbIFzLybdiyk6oqa5B5VnTx+ji3aswJ1J0f6W83resRYJqUi5uv1IvhHzLHzOyfiKw5xbr4vf80A+VE8zpoQ49y2vD5c4F+LwN17493+sH6kkUjhwB8vTIRoLHEZn2iK71k4wPcB63YMMob/acruZwutuJcgIc2T31mvPe+GJcVx67rPa193zipNOq+zaM5xWS1zG3AkNWtcIa1aX1+F5EmzT8jVvOueCpae/8Ns//uEz4vuO/oHP/cdHnvjbP2SGwmAjE5JF7aUYAAyhvTR1YeUlgEaACSJK0DSLKEGzefnaj7757VXJFr/guDe84Q2vePWr/verX8/IMATGgRNwYJwYQ9uDCkgkbCenr1Ww+Bhg3T4SNC1TO770la/sl6p/pdQXvvLf5y8/M+3dnvp+BReCcTKIvBC5h5yeJixq5GZkVRUxBXz5qy7e3N39yc98Zvmd95QMCU3NXMQiirmImQjdUraIVjAWMWHbehXjrbKcEeoqPnbL3d/+6z2pZDOfd+QHv/y5Se3PkJTTWr/tkksfuvl2iVS2zqO1v0AAJS4TNFXUmjADZMCSNL33/vtf+oKTr7rj1o6pz5VAiOPSvAXzNz72GAPGyGvzEjOAo2EdGTc1LA0axu0TJGYYM8AMMUPcsnwGjbaNESYXDSbLpFkSDVzHvzZmsL3p+DdeyIUrQBRSvuStb/j7TX/JjGEF9qWQ3qvxYypOWhHW6zl3Alub79seQyBPxKH1zS9hch9XQIbBiOi5v8teB2nz4Du+2L9ifUWnFZ1VdDZishGTVTCzV49VkquQdmJYqCuow5MR1IZQFnUEGZfAnNAKY4qJiPPIimsLufDIwz/zu8vr4pehtY+vevdXJsYN0uFe2Dg7fNfGWH4mNSY1OkWdGavV5QROU8SUTIZOIMkKJ9kjT9BU/fOK+6r3mNTeihHnERMxE41R6bJrr1p01HOti+jv6X35iaet7ttkiGIrOcu48lGeVQwXviWS+/CDAPx2lX33z7897MjDn+r9jdYbV6751FvfXd3S3yLjoL0uCm8FAFXUGZkGrhI0hR40sFRDYuWlyCRoAOAJMzxI2VQo7TZJHAJSe8BWMdF61BXMsMAaZBNqNJnlZwhTNFHXlN/deN3+dcru6+19xelnJ73bIyYk54rlor6cc/AdNJgz7KiRggycu4RIt8uGzVSJmOhgkWI8ZtJiuv2au0ID44whkWAs4qKBqxDtcsYMUUomRczIDGGmprb+53e+dvDiw8RTg8XqBx/+t3Mu5EhWwS3U/ZEv5kFvpZSSyRAzMgmhPeYEzeLOmVff+ZfnHr+v/MdDl5zz0uE0SciJSqaEANTMI2+/JWzsUmKyxEXMZclODhd2rhTjkdeLjpiwAsvOI8UbvyjriiWkFDzs3cFj/c7q8KJv/kfTgll1t8BHLnz9mgcfSk0ueJl5Sq3gRkJB61gy3uBtucqFJyUuysx6dbnP0sBVg1BlqRqEapBRWUXti+ce/q0Pjx24j2HZNZNi8efecdtr/9P0bwvb+bAxqS11L/Q6OU90wDx2L75pzsbYoMYKhE5ua/3A9742emeaounZs0M2gxRSFM+uI2e8cR2aDLUPsjwzk7sjhSyrN8OzHgWAmigjzAitJG9GSEAcHMJKxhXni5cumb9k8XOczO29fa856czH+rs1UcyE4s74IvKKg8J5wHPpgZL7OMUQGYaa8JNvesd3rt278vvO/m3/+ca37lz1aAOxyXGzKsjz+tXC7ZAAQDKRoRkyae6iSWSIIjIpEynPF8IOjKWhrXowI5wkS4yAATAE4AAICCiAcy+qFTqYvD+JE7JPyTR1tV1507X73UO1o7Pztzddd9Hp5w71DERAyMgQN4SacYHcQ2QNXaCtaHOO73rYZOv1zsmyNFmqZh4FWI/8gh104iwEt8gYGCjgNYXABAQ5xLRgNNi759MXXjJx0ZxP/fhbE9v2EsIP9PT916Vvj4ELwaW3owN/zERgWcf8H7hzBMQIQACDR/q7X3Hiab+745bnaB6wYMnixUuXPvDAA5rQM++QEmWEglASZsQkoSRuWM7MuE0zQ0PMrm3cJm+AaWQcmGaGI2PM5Pk5IiIyyDk3wYHdEGqje/bsnGvqne2ElB/8/tffe84r+np6XMFbHdvuZGfyKj6oL3IHn18FYjUl8FCQKTBEYlLzws+9Y+yQHcY0crejum3nDa/6j13926pGV0xWQV0xuoq6irpKNn4PAbupFIL3EdQMwMfsrDaEZxJ45APAzs7Ob1z/uymjNM339A18+dzXmd3Dp3TMLstIeN8l8F4BBo22239jMnS5Ox+wm8wm8WzkaO9MNAk9w55DE8VcRIzbBbwhin9y7VWLjnxOYfv2vv63nHjOEzv6NlR2lLgMYXsI2JX1m+ZcMi8g7p0kAYCILPmbGD2hs200vu/q3/b+8y6ubOnvjBrqrKsl4xyY4i6cjLnkjBFBgnpYp8EFMCM0hBbTbYhqg0q7ldmhK9t1tcxlgsbGMvYjWP1bj+zBeoch1SD7lKmdv7zpz+37G9nD6O/te9VpZ+/o6Q+Tb1dWvw33JbOECKSJ0vyy0Q1c7dTVSbI0WZaaRVTigV7355QLe207myrGm2RUFspOUYYYgJgAMnKcT+amy/Smw2pa6xeu/kWdeelAT99bz75gd29/LKTN0zDGfc7DCS25s4n5u9moJSGTItoN66GliV2TWi+/88ZJHc8prW2D95E0sXvfBE1GGHmC0Ubu3qXWxe8lZ8Br/a1ExLji/qt3NPSujc4Jy0kA5fWNbtde0eltA49jY+nD1/2sZdQH2d7b/66zLuzp6Ul9Gj+E6qY2bNdEnLGyi9lFicsyq4/fbdhe5rLMVVnIslAlISe1t53+yy/HUyaO6YU6NnruhVFqnfT8r36QOLfXuk3aFHsQQudqXUU5QVFws17zIdjjtXa0feP6345G9qH+7d889w2D23euGhr48aaHhrLqcFodSZORNBlxvtJpkvuHaZ+7yy/uQJWGKF4D+jgdM3sboLXRyF+0cW6IfBcvXTp/8XMK243W337L+3t2Dmys7qpb55y2IlitcCuy6HS4ClYSMpaqrKKyikpS7e4deNs5F27r7Qvvv6tv4BMveU22dWB63NQsoib7kFGTjJpE1CiiJhk1CNUgVLOMYyHt5jfmcoIqtai4QahGoZpEVBaqkatGoRqEauSqgasGIRuEbBFRm2qYFjURwAhmI5iNoB5BXUWdoK6SrqKuGl1FUzXa+kJUjB4xesToYcxaOtt+edO1Bw6yA0B7Z8evbr6upattBO1xZhVvn1I1uoo6MZ6eQlNFPYLZsMmGTTaM2QjqrqixTZWbRdTAZYOdKK7KQtpvy1w2CFXmsixUs4yaZWztQazjYKOKGkTUIFWTihtl1CzjZhk3yvysTYuboWfn5196ye6+beGAB3r7/u2sl+7uHSgJVZKqpKJYqlh6L0MprWuK5PYSsrrzXnyf2dCBCeCS8bWVHd07t/3PW95n9HOyGbHBu2RcgruSGUAWVqm9OD05neFQcZTfleFurcnT6NToROtEZxWdVbK0kiXDaTKcJkNZ9ftP/uP+3d2bBnq+cc4bhvq31x3blM72b17/u9bOdi8gkfsqj/aS8H2yoRd5bxoJVHiFCDg//isfGGtkh3EAdwCYsuCQjqMXEec5slOO4C65misy5nAf7O94nkotKsmwts72b91w1ZRRbhWVbTsvf/Gbh3bu7s2GUzKbqrsfG9oxkqUjWTKSpZUsrei0qrOqyRLrH+YpNrtQW5TPPN2Wjbragk1SZg3wvHESAAhggdCY2tH5xcu+9xxryB5ZsfqeBx7YnAxags9CuVdI50E+10rRWocjyYUUIvc2UipWqqSislQlqXb39n/oDf9mPYB29fZ/8aWXQP+uaVGzAwihmmTUKKJGGTXIqFGqRhk1qqhBRrFzlRMRFyUhYyFLQtpfKwkXpDRwafE9wFYDlw1cNouoTZY7VSMBVTilAiy+V43227Ws4nItmXtwPPjwhb+95fr2A8+NpK2z4zc3X3fw4QsrnMIBuw9idP4c9bDJEsEqgkpcTpHlVlVqEpGbFiEbHKY7WC8JWebSxncNQjmbVi4VE9K6+nFZVqpBRWWpylKVhWqQUYuMm/1i3CSjzqiR9+382oWXWnzXmf7g69+yu2+gJGRJqpK0yB55xyvnKyK5EFwIl7bhXn/f+pm5S8teck8me+6+/94NK1Y/lwmUSn758u93dXYWIxUDpJ8O3wOUe79WsiRq4R70G/E0txpOq1laydIR90geHdz+eGVnimbE6N07d/7k3DcND+yoO7wpnR3fueEPbZ0doc6t2DtZ222T96OOLubO1c0CXyN4+zGLJi8YD7U48clPfnKs/wbjfPZZLzj4BUdvuO1vI0PDmjALVLU/nXWPlBCBguo3Zx7R/CtxpJYcccTXfvfz0T5EqM0d7/jshkcf6U6HbJA4aLKHBnsXN7YCQQjJM1es5i8In8HLKEf2DG1Unr9uTe+cAQ1hcKJJ0FjwdcwpFzM6On96y7Xtz626wGj9ly98965VD/ZnIwQQOR6AB3+fwhPhvS/CtlRaQwlhVQs9dYBIA/19i44+Mtk1+M3XvTPt225BoVGoBqlKQpaEKgkZcxn78N/54fkUKOdc8pzZt71aUJBftgUePM+QuIoye0u89f3veed73tM/uGtrd3dGmGqdgV1HTUqoJceSOvqUF37129981/vf1zxhwlhfn//aaGxqesWrLjrptFM2DfRt7u7WaBJtLYrQGiUaKSBWx5z6wk997rPTZkz7x9/ubRFRg1ANXDa6UF01cOV37jLmIuYy4iLODbilEiIW0lkSciG5cDszHgJtZ3tiqTk/7SwZGr7/2psPPnLxY48++pvv/bjMZFlFJRVZI0AlpBRSCu6Y91Cj7TvoLRr5Xv8gDABElBI2cnVwIheefmIoNflXJrC56YwLzrv5938cHBoKGh4acleT/GtoGWFetyAPpcEjbU3anxwDQ9rd185Zflda/fqW+zPEiIuYCwMUaxJrtxz84hey2h7RhqamU85/8Yr7/rF924BGgwVqAfMuSyIAb7NVU/qhPHscttqC8ea2KRf8+AtLXvdSPpZUexhjzrkXx1D/9p//+0efWLlmJEsd7e6LTCqOwg5xnEGiOqo9RMRdXZ1fveJH8xYv2mtQnA5XfnDCKzbs7t+lk10m2aWTXToZNCln7P3Tji5LZVcIKKyrGtHSl1mgGtFhjUd2zKxRZC3PPmK/mqxKtpOIlZgscTmrc+ovbr3uOSI7AFSGRy5edPy63X192QgDVrb3v0+lKp5z7p5qFJGQyt29QgrBGQcGiGTQZFonOhuqVnanlapk81XLJBY3CNnAVVmospCRhQ/GpXfCy7XUfXrW6wegLx41dr3M64v8HKaOlNAjnpEYNtkukzR0tv3oyp8dNGtWf2/ffXf/7a777r3jzju2b9vW1tp2zrnnnPS8E5530gui/zvi9bat9J7b77zs5z9bvWZ1/8BAR1v7C0888awzzjx0wfy2jvYnHn/iDRe9arhnYIKMGx0VIxuELHNVGkUf2xow5UnkfNnmIpyLEDR6tQzfv0OYGj1ishGdjphs2OgdVF2e7ooy06JKTVEpUkp59XmXbEc0xmRotO8X8/UFxYDGndOEjL3m22R54cTO366+t9zY8Bxnr7+75+KTz3q8r9uigc0lNHBpFz/HXzNRLDuJvNW4KlQWKM6lvyMk59KVk4aJIkM4YrIvbr63irpFRJNlaZIsTZKliSI+bGLHW+/+bdRYHn14OtPrVq587+ve1NPTo/ONe067I1Cokymw7aLEcs69xGWDimYuXnDxtz/b1D5l3K7McRUpbGqf8uYrv7V19YYrP/nfT65/NKkMI2oDtW39vgoeAALVblXRlVKNpfLc+fO+evkPn6Yeq//Rx/srQ27vhpjZOnSgnTr5ds9Db+5cYsv7rDGQvcQDbWdB3D+pQfZAwoTkaliZArJbn89ZHfsG2QGAiHZjag+mxKVr+rC1K74kjhfjGi8v7h2ObIQNhKTR9eZFUkZadEDcBLLJUihClYUKySjpnIa4YJxzZpskneJuoZRbMBLMcMY4Gu4VIDgwRoYDY2iIEXFRI4wHlJLZ2d37ulde/Odbbpo1+5BZsw+54OJXJr7n/v+iIYmVOD/1nLNOOv3U0R+kp6fnVa945VDvwEQRNwQIELLMZcyEr2S14G4BnfsnQnKhuOfZrGo847X6yWSQfHGRsR2YPk3NOWNZZuaxxq18JJbKLvmRVNIaGgIgEWPoTisnW3/iypZ8+Tnz1Sz+CePAMsKdJiHaB4bO7VO7fvXXG175ojM39m7RDAGYJqqSYej0ZzgwzpkglMQ0oUBWY4uAjlq2cn0EQIyQyHAqlk5YeuCyvpW7dBIxboB8nsxowt7KYN+jj89Yetjow5NKLjryiF/cfO17Xn/p+rXrh6sVk6V5tQzbm9ajLT9igEAghCqXp82b8/JPvH/qwrnPstFsX43xVqAVUs5cetj7f/vDLEm3bnjsBx//3OrlK4wpqv+QXQ8l45ZqVypqjEuHLVjw8S99bva8uU/v04ha3/OlH5SBo2d+QtsREvWkwxtGdkyPm8MG1tWTAPiqA6M9iAdu3dPruR1wlfLCngpqT4LzRlV63lHLvnrZD/YJsgPA/XfclaRJRsicKzwL4gu84PxtM8wFlHf4LjgXQjDGiBMYRkTamEjIRiYnyNhytWWP7JGrC3awImrDdgAAF7m7ygrkaPtCOGOc+buRMYaMgSEgAmFdsIiTF+yFhJuEmx3dfaeffMoNt94yderU/7tuJHVj9Afp6e4++ZRTBrv7J0qH7C4aZdIGmxHjivGIy4hzxfKqD+VhPRBiwpMwvOBcYmc1NMRmzHCjwynjjGkiyxmCkIILJZ1drbMzRGQMiAQScc44Fn1IGKMg78Gc7ZwNKRjThGma3nv7XS8658znPm/tXZ1X/uX6977hzfc8+MBQWiVATZigDr4unAEn+2DMdl/bi8ouS0jECBkRJ0SBjAwjRsZNDpEhzAi3poO96Qiz8jXuRZMhoqCY+N1f/MErfvYV/hTg297V+dNrr06S5NH1Gz71oY+sWbd2uDKiswzIBk6EBMgg0DUIxCWfvXTRGz/9kamHHqLiaJxh3Y79Iy9uGb/ZRyz+/NU/f3TF6lv+dN3OXTs3bd688cknq6QTNEh00MyZgvHFixa9+Pzz5s6f9yw1sHSSbl376G6dhKIlK/8S6nCu2v7I1KjpiKb2aVGTrfPjrrY6JHOMT5MW4nfCjDDxbEyhjtMIYAq44mJaR+ePfvnzRUuX7CsVDqP12tvuQW2QyLu1QSgZZAWO2zu5e5Rnti8oeBwxG04YB9Z8gohbRNQi4iYZl4S0yG7LYCxTrxxNn/vbWTRx7mVeLJsx2+Rt+49MkTMgcrccckIUJe7APeUq4SYhs7279zWvevWNN9/0/wayjx5Zlr321a/ZtrVnoohrt+3Cxuk2QrdVjxGTEReqQMi4VVYIxaUt6SsG70FJzPGKxmTGCKa5PSN+mUcL7mSGGFh2XlhDQ8YBiAEQkOBkPKzXmiXU9NkDBC08QKAG4Otuu+fEM07dJ7DVMbXrp9devXL58ktf9dotvd0AkBJy1JwBJ+ajeHcdIhcIhEjIyDBumDCMJCMDJBnZuM1pRhJmRN3p4MPDA93pEAIxxoICYOhO2mOSzWs36CSNnvqzWKPBpUcd+Zvr/1RNkg3r1l9z9dUrVq40QN2bt+zq7T942oyYi4NnHjRjxoxJEye88MVnz1582H7B9PyY9+PfBgAh5bwjl85evDBNqoW23Xz8s/v0bY9tStLUKwQgBg05544IBNCfjfx11+Z21TC7PGGqapKMcwYArJiCr8X3AO6WinFh+xBmlvsrq+iII4743s8u7+zal+puaTXp37LVhiccilxr3cg9f1gAe+8rG5qwg+fb4PDgQXFLi4ybVVQWytY1hrpJ2+AnLMPL3e7evrVbIQjRUwHccO7xnQFj4FytCQhJuNQTEjqUlwiUcpkImZBJuFq5YsXy5cuXLVs2Tlfb+I7ly5c/tPzhJlcM45A95kLl3QncpU8crHtkFzLy4O5yJ9yXbHNebNcAz5IpIaQxQjvsZ66VBwggRZ2i3lnZ0xCXgjsg54zIC5ezetO7pxFCCug/ZLLerVvTalJu2jcYIpU8YtlR191+61te8/oHH3qokqUpIZlC/A6MAyMOBi2mc8OEZGQYGcYl44ZcfYFVGUkJe9Khx6u7+7NKShp8oYuXrwEiMGD1SilN04FHn5y2dMGzOE7VpNSRy45avHRJUpBKLUwd21eync91Svf3AQB4k/Xn/j6ozeNX31pmwmpTFFP/vvUupNRpu64MDiWb5GCbKrepckbUJNTTg3tKpoJ6CNMhk1VRN6i4uVReeNhhn/rSFxYvXTIWIuMDm7tz3X//AXL3qdEj74cLmXInRRreol02tIi4RcZloXx1o4xtRbxQSkrlQaQYvEN92G4MovBxIjCvbU1EXFjFFSSOjJAJH7+TZqLMZULKkjN7svQ//+ND1910w/97wXuWZR/94IcoM2UVlYVLDCpfF+Aenn4pMOxCCRH5NgVb9WQT40V8zzvpQwoEUXAT1uOgS05ELbKUoGnDhrTuOik8r5NifZoSi+KP1v5939tIdXZ1XXXDtSuWr/j4hz68as2a4aSyK020CB4JDB2yC81IM1KMG8Y144pxzbgkPoSZYmwgq2zLqjt0JXWGmKxYThM+RYgCY+Abr761a+HcZ1/HcuDTiQcEuBdHlmXF9bD0zyiSmyQd7hlIjLa9ZFRzHnM5Lf8tEMAek1Qw22mqTTzaqVkjV7VFmSZ/jiYjHMS0gmZuc+tQs7rs5z+bN3/+P3WE/9RgAHt6+pX3FCYiYFBolQgjGKHU53YQkTHGAIHImkwNptUZstQio0YZRVxEQsRSxULarpZIqEjKnAHw4G4nK1dNQWOQa2P8LqHWZQWIbNieO1Rwg6QZCsYizsskE64SbspcPrz84f8ng/fly5c/+PDDZS5CyUdkS18Yyws8HNZber2GkLHSKJYlc0WoQgrBpQP3UAli1WzQIEoUgnOuc3AnIk3YqCLbUfWETmIVuesCvBBjob8kWGFArk9b0zpf8KIAxXjpXzJ8f8YhlTpy2VFX33BdkiTr1q275LWvmzCkN+7ZZhX6wtIo/RyqQimdARw02bDJ9phUEz7VKlXEAUPEgGVohnsGTJJyWX42BwnPDanGZxwo4K4znSTVDevW/+yKn956x22SMQ78kIMPnjnzoFNPP+2EF54IAM+GdlcNZQYgGDe1JZ5PH4yMoM4IJeNDqH2nnAFgVi6mOS4JBhEwJXg7Fwc1TYqRvfaTHzxqrCGJweLjj9540w0NXFZQF3Qq8tuv4FpXkOghNEQC0ThCxatxIdJwtbmxqVnGinPFZcRlLGTJNjpJFUvlgkRXHe+RIi+SsYL43CByxrnhvksv6H0SgUAiBGG8NrdhXAAJ4BK4AB7b+F3IspHb08GPffDDf7rx+gM8CPqnRpZlH//gh6tpMkE1lLls4DLm0rV9AhfAZSjms4lTJpwGmW1QcPhu8x95v4I9NcKlUfLcRnAIkVxwxrnVAfJ2UZpji4qrqGloN8Ylg8KdUKe+aR2lrOlo0VGyAPT1jgsAAILxJccfs8+UrEcNGxcvW7bsO5/50s8++eW5kzoeG9quiGXGcIBKmiSoBRjOIEymhrxArvhWe1PnBfBZKxsFMgDV8Mywrj2g33nb7TffeNMdd95pazfnHnLI7JkHX/S6186Zd2j0tBUf4zn280FY6fDHNzzy5f/8xKo1q7dXhvYkldRVFvItjz8hgf3hV79uLJU4sBe86KQ3v/uds59p+or8S51wDzzNv/GlfpLzmCuby4qFjFQUKRkrJYS0JShoTBVw3tFj7n7JgCngVkkq92BkhE6TyFVcFQ1og6snN0YzZhHfFmwZNFrrSbJsO9qDhF4kZElFJaViGSmZ9z15ercW3BENokBuq+5YgHYLAcIxYJIEEinGkXNDXDMuGfpmWiYZK3ORkAtp165dmyTJ/0vgniTJmrVrFOMhgyqB2bXNl8wyW7qumJMDyiN3i+muB801HCkhpcwXXbE3cBdoDDch34quEcEoFJqLFhlPlqWKMZxrIrKnFJGKdiI5wnsF8sL2y9vsEBFQ5KUZgY0dvLsx7+gjGpoaY+AdzRMNGkLKjNbapFma6izVQTsEwYpIF276AOtUS2wWB3vmRIMLPTeuf+T7//PNO2+7QxOOVEeqWRaq3bc8/sS9XP35yt9NKjcuWLDgvZ//xMxD5zx7kf0xGvvtbxutn1i59gcf//wj69btrg7vSaoVKx0BADZ/6BOFJsuGtZGM3XrtDXfddGtjqTxn3rz/+MKn5u6tiWnPxs0AoMn48pJw9RVPNsAoenH08h7OOQfGiAlg0u9DEZGexZLxHIeMo5kzZzYJpawkHiuYEZKt6q13MOBEHJEjMmZAAwlCZODbVVKtO1SpbEsebYWMlLFUkZQlFblOdCmLEaLHCmelYpxlKA8pOwiOz96P0FadCuKShCG0HcUilytxj7JTU5IjSXXdunWWmdG1W90w9pVf4D4Zz3iQ69atG0mSoB4lwKl11k1C3qCUdypxi+AW4iOZ47sM50U42j1om9gVXaDQXFvDEySy/pHeZUyUhGpV5Y26yhgTHLld+NFq5xkTPISx4DEJlq7O1dC8JhpNkHEzVwfNPEjF0VjPNgEZQrKF0VwY20VRVEUPuSWfaKoVWK81QnLDlRxw4MLDuoWOUedar1+56r//8xOPrF8/XBlJsswQaiBD6GrwgQnGMjIZcaN1ZXh43YPLP3DexS3lxjnz573hUx+euWj+/oL4/fNXd/cNfO+tH1z78IrhLElRM6QylxyYJgSgIEo++h+aTI/o4TUPPvzWc1922NIln73su0X5AcYg5lJxQeS9kLyXaZ35IdV+dfQiCy/Wx8Kea0YAQMTShKYJrWPeaSakXPyysxp+/ssSlwwYEiJjSBwDrIMN5J3tHydm0DoVuKoVJO8QRGQIm1NqLZclr2ln9fhuHxbcpeSCCw6MA3cgIogAUSAa5JyZkNMDcP4nyAk5GUKJ3NrgCIaiKHBmXwEvjAO8xEWZy+3p0L9d9JofX/kLxtjPr/hZ75YtK+9/cGpX17a+/rbOjtnz5g4ND80+bP7xxx2/D11h/4VhO1H/fvtdN954Y/+W7qamxo3rNvT39rV1tvf19i1adkTn9Omvfv1rCeDfLn5N4GTsTqUI67LmFVaUe7MQrwr4bivT/aJrS9QF8Py8MCJBJBAFGuGXYucDZUyGRhmjuFHctMYNO0eSnSwLdob2qjDG/nKNNXyO70XraiBNZIAAqFHFi1525jjA1oTWKaWWZto9bDyVhC6r73cZNVq7tUmC2ifgFas4gyBnYsv2Fecxl3X7kIGe3o++8W1rlq9IskwTIaGv+icODIFxBhK4VetMCQHAiqqSxmS48thDq7544aULli6+5LtfmPDcRDT/tbEfwH1P/7avnndJf28fIFpfC8aZJGYzh93pkHIsBHMrr2MeGPgXAcBos/bB5W8786Wfuex7cxYf5g2G2IRpHbBuHfhF1ZexM27fDWpSRnVXgJNgLtCNjoiwXIcxNi5Is+yg2YeNQ8wCALMWLzjmqKO6774t5iJFY5XZkZgBJpjz+eNAhiEjxgmZazm0fm/ceOM6a/+GJKw+rXM5COWPUlnJkUgqCyIgBAjhwR0ArM4IMjTS1PTAu3cWFhSEITQcra0SZ0xwztELnEF+O1l0CX3bA9u2XXjWuRET3KBkjAHr3fgkYzCwcdOOxzcT0Io77rn6R1eQUkecePznvvLl8ReJ7Ovt/cj7/+PBO++BNANtBOOOtibq27iJgFbecc9DRNf++ncpmTRNFRM2cretnmHvInOI517ujYVvpesrFl77xdPublMlQEjgHITIN6XOoxK5YQqs+zMYZTIjMyEjoTMhpBGccY2IhGmmeeGqyHdjiLmNsLeQRG80ph2yoyEscTFFlo85atmsxc9cOPjch4qjrjmzHr/nwUgpBi57HLyualtDg25Xzd1do+dFZDMfQalGMNYkVIZm0vTOQM5orR9dufpjl7ytr6cXCZnfK9hkRdjTB2kbwXgVdYM3RxNeThmN2fjwqv89/9J3/fEnLc/kk7XPx3ioQoaBWnevWPud8980PLBDhPyS1y1JCUcws/Uq2vtNYzF9n1MnLr2zo2/g/edf/Ok3vE1rbadeCVkWaoKMme++cfjO6s532LIFD1cfrReoj0IKEbUx2uhMa+Ds1JefPz5bLSHl2R9/94SoFOo7g2VrIECCkYj2vp3WFTY1OtVZeGRat6ky96Fi2PhHQgVCRkkppQKlQCmQCpQEqUAqkBKUBGm/lUIWUnwi0DgiqLxx7vyV7HVvu+G9ABzn+aaY2XwjEpWQlRAauCxzqyGsJslyi4wbhWoUUbOISshVNXvghr+8/LSz+wuSxeMw+nv7LjztrPtv+IuspCVkTSKyKsctMp6sSlYnuYGrJqHKyMqGGSKL7LnJCYBNpTpRz4KQZz4zNfG7m1vlvyopQOanwJ8Xf3akBKmYdL+Z78Os6BvnnLFGGbWqBmaoeFWkOrNiMsEOcO8Gk8HgG6iBy8lRw9kff9e43QKnvPw84Cw4HtsRaECfxs9TBbT34W54CwjhRHBgCsTEqKyEi9y11p++5N/fd97FO/r6a1yvAWqoeVe6Zrc4GDGxx6QV1MYbKXsVYBoc2P7989/cs2IdPjed5H92jF/kPjKw45p3ffqJFWuG0mquyc4YI2YlB1I0AKAYj5jICA0DBnb7Q2g72Bnzp7AQd2R6xd33bly5Zu4RS7hSMxfPf+DW26uoZW4E4aJ4tvf1fNSjKD7sAwRmNBFxZEgkS1HXnFnPaS7+mTFn0WEXP//U/lv/mCRYRR3saQxDBoyD49RdHGHDdmYJGR9fEyBQiYlmGfloxWm+O0pXWgSR0sGEBGGBqJAxQwSOYFwdAieQdoo4Gi4EN8K3w3pbKG8h64X97Ot5Jy1ACN53m9SWgQfVp1hIxQUSkmcPMkRDqJio9m1/9Rnn/vLGP7eNixTwQG/fK087u9q7vUlEinHBuczFSpnk3MqIW/iTiAIYAtkKSO6FImqVDvOYPf8RZ6Kg8mirHqXgwq+gkD8sLcNrIndjAksjiQyiklJppx/nO9FYi4x11VRJsyAWZE1FiIruV1ZW1yoyhbDdtnA3cdUVNb/6BafNXnTYc5rWf2Z0zj6YBMuqCWPcbjXsJgMdieTdUQq7bgKboHJfqaDjKILMJDhP2ippIjpoyQKuFAA8tnLN8jvvMbpYcFcEDzccgLusAEkGhnAYM8k44yCIScbRryhD23b88lXvOWjJgrO/8fGGtsnjM2/jFLlXt+38wyvf279iPRnDC5jLapuMgvUS5nursOQS5bF7PtMIpDP95be8Z2f/AJMCjp4XCWXvQ6ciCV5GBlhxCa+J1r2OfO4Wktd025jdSSomWVqe2DIOhHsYQsnzvvOpjtbWg+MWzlx1ZrAA1ET+gbn8mVVnNCbROtE6MTrROjWGQ0Gnl/E8WnedMhKERXYP8UWslx5ZPGljxQXDgzMubEdr7ofq/ieCRWrwN/d6CTazYgidgyiXJa7KQsZCKiFKMirLqCRVSTo54rKQJS4HewZee/q5/T29Yz35/b19rz793KHegRIXZSHtAZSFcnLqMlJClqQqy6gklNUsjIU0RCUuhBf8CZ+6BtC9UISwWhEheC/oAoUQnoX5l6JwLurOjrAPwUWNjEzRdpFBivaSyOy1kXoNyNyjpuiAkesgYkpGMD6r1DKtte3cb31CjGO134TWKeWJLUmWpVmWaa2N1sYYNC4bBugrOME7dBYleevrOG2QYYNI2yHcLOJYRrRsLpNiZ//Al9/yHqONz8HVjIJ0u4P2sH4wxuweOnWNkGE/4X4t07pvxfo/XfS+6rZd4zNv4wHuqM1dH/hKdftO8LxVaGJm9dWKAQLyphio6dAZXdrICGh738BHXvyqXf3bJh009YjjjrZeYkUjUMtpujNhWcrwdXTvT8ED0zk1G5MZnWZZorP22QePD+EeRsPkiT/+y7WNkyc2iyiozOtRjwwxC8juPL51ijoxOkGtfKN5QVmMe2Vg7hDEPiy3K3K8qH3ug3peNxgvCI0VxHBcuMqCOAJA0VrLBu/Kmg0JEQkRWXrBJXtlSUUlqWKpSlJZDC1xsat34NVnnNvfO4b43t/be9FpZ+/s6bOqrTGXVuw+llFJRrGKYqWsYIOzNLL6PIwrznOzsFwLyLn+Bk7GE4bMLrrC63rmGmFWCoYLF63bma87EXv51grRCCWKKsFOZ18BT7xXVIo6QZ0W3CXdJUQmYLqTREWjCSeIqGny5B/c+ufy5Injef2rUtw+++AkyxLPI7kKTkscIRlfzFNHwwQZr8DeCGCKiYI/JVecx0IuO/7YSTOn7uwb+M8XX7yjb4Bq7TiKo1h+A5AnccNvB44IimuMP57K9l33/sdXURsY+zEe4L5z3cYdax4FAI/dNbNWtK4Kelg+/1mfISk2QlLtRml7/8A33/EhVKLzbRcoIYIWfKGljeUnG2rPfcGV24sPo9PIdiy2TrVOtc6Izn/rJeNf29Ta1fHNX17eETdNFHGQqCx2z6a5NLHJEJ13O5rEGGt4JBmXHtlzzoRzwVysB8LDh30UvxU8AHrxEVpYXe8MC7FqELmxpHONhU2tnRaUuCAA74EZVG5ULGWsVKSiWKqSiq2FkBLCGomUuNjZ0/+K084eI3zv6+l92alnWWSPXfJZRNJ6WimP7MoVGgmV95RywYCVuICCH2Qg34PWDwvI7jdSTrDZa7946eYw2x7fHdD7Bxf5j/wvC7/WWnYu9x8HJoFXjU7ckm/CdeLNxZzwRupsatyTlMxkWeosNf/PLy97ju7Y/8IQQpz/1ksyoFRnqdGZMTZy14XyHufiWXwQ+Ef+om8P5k64jQnFeCxk21vPp0j+7zs/tKN/W42kcq25kn2prjiHKHh/gg9M3b+1jGie4CVCom1rHt217vFxmLcxB3fSZuP/XokGWQHZR7cNUG5klWtdgYfdMKshB4o5V5OPjStWb9nwWOusGUcevaw1aohck0gheAeGBQamblUvBOx5otKmUm1+sqrTaQvmzFo0HkUCo8f8JYtPPPrYaeWWuaWJ1RzNg11U4c4kkxYEziqoE0bzy5PRX4IeQZwGlcWYUfBtq2UsvVt4nTHgjkn2IiZBlCyXNQnEuhuF8+qL+BgAs/eeJrJOC74+REVCKqksmEZKRUpZMPUYKmMuYyZ2dve96TWv01m2b6daZ9mlr3ndjp4+a40UcSec6XQaVBQrFUuH77Z+1GryWCLF+OCjYPkbrDj9LZDrvBVUdh3Ks8KSyWpOCvPngtWeFHdeQgEBMGCccyVlUe4RgRY0TKoycn7uFuXJpIQpYvCCDzZkNlaooJ5bnjSjPOHEZcfOX7Jov1z8hyw6bNqCOVWdpcZRST5yzwvzTbiFvVlS0TgJgRgwi+ZeiZOXuJiiGo46+ujWWTM2b3h044o1o+X56ppjck6mEHeGTSrUEBKOk8EcpRgBRUw88a1f09gH72MO7rvXP7FtzWPcAkptnF4chRSry38WgDuw7sVZLvBZ/meI+JsvfROleN5XP1iaNCH0B9pd2GRZmho1daiGJhEJYFU027NqTzrcnQ1vSYe2pINb0sHebGRbVkGnFeeKBKzfbmKy5s62j//4W3J/tSQo+aU//OLH11115LJlbaWmEcy8x7RVmdfWjtl6RVmjK+vn2dTZ+q5Pf5QER0IC4gVACQLxUCRLbBm1Awvm0bzwCBhVKxRbIF5qRJqocN3bP2XfBYEMEAIozryqrZBCKCmUDDWaKlKhUtMWfTuTOWtnuGHF6tUrVu7bqV61YuWGlatjLmJmvZC4E2v0VShxWGysFGywvuJCcK44R8/45crMBa3mwjVfEG12RHyu31mYXJafiLpzUfco3CCQbx1stRghIQnxns98rKmzNSz87ioqqFg7xzEyFTRdqmlGecJxRx/z/Wt///mrf7a/+nGEFB//8beaO1oTrTNjvAsYBojvz0Z60qFN6eCmdHBzMrg5GexJh4dMikRlLttlw6x4wtzyxBlRc8SEFcAoc1XmsnHyhOO/+gGU4jdf+iZirltQW1YXXguTWzTEDvdBcFwNrIIjogvVNmwkS/pXP7p7/RNjPWljC+6kTd/3ry4x4X0P8xo4XovzxaLROuKGQk569MpZSI7b8eTq9d2PbCxNnrDsw28ucdGbDQ+ZTDI2RZYmy9IkGbfIuEmoJhE1ctUsojKXwdYjRWN94J6s7ulOhkyoLESTGJ0x+rdPfWRKR/tYn5KnGdYX5jt/+u3vb7j2wuefbJTIcZx0nXNhlZNpiI4985Tf3HzdOWecJcuRcUmenBkYpUHmoT7IrNVrwRZBhIWX/HkLFaY1zYHgW8RY/vtQ3CopJniwhC0UAspiC09oxPfiWYrzmAuu8fdXXZXtu+A9y7KrrrpKaIyYCHaDstBSlAO6tKNGGMC2bhQYvyIfBaMDw3zioVhDVrtsQmEVrie3CrcR+RIET/QGxCEAm37nsTr79DN/c/N1x555immIqhyKtjPBP7KCpopaKHn00UdfecOfvvHHXy888vD920w/paP9bZ/5aMYwMTpFY62xDWF3OrQp2bPHpCPW6JEwI+SMNTqXdtnEVaNQzSKaJEqtsjQzbm6REQHt0tUyV8s+eGk8eUL3Ixs3rd7ge7tqGmL8BVxLERf+s9c2L9wR4Oe8uGkrlt40CNn/wz+OdfA+tmdr+JHNu9Zt1Gh4fiFay67aWK8mJnRXeGhJAGJBDdHPeCEwzAtdAQDI4I/e+/EXv/vNV3zhay2om3hE3HVkWNtiSS63HjFurQAU41U0CRl0f9R1Zm9KBq1RzmRVZpIf/qLnP+/0k8d0up7tOVPy8GVH/ujPVz28/OG/XnPd35c/pAG7N28e6O1v7+rijM2cMaNr+vQF8+Zd/IbXWTPSZHhEu85yDI12rn29EIDUhCmFeS6Mut7ePLopcGYUzpPLJRXf1VVs5jSoAWoSkawhmoXwEjeMMyBC25XLyQjURjhXCmCSiYiL4T179qE6TZIkw3v22FNvixQ5c7aF3rzQ+l24JQoAiJNBWyzEBBPNMjLGFKqw3ef2rUP/7Hiq9aCgiJRHQLmAW/CqBAYmpB+BNbVNjhsbvnf5T9Ik+dXlP12zfn33li2bNm1CoO6envaO9oNnHhRxcdySI17w4jOXLj38AJHBAoDjTzt58cknPHTrHWTMTl0tWmDaSk0DZAgV4zGXyueWLG1ineutHau0FpsMtqSDV375f2Mur/6f76MxflrdiStMdE3aD6A+eHHGhD6Ez311wqJeeB8GrJKlO1Y/OvzIpqYFY1hUPYanjYwZuvrOmDmlOvsir9nS16TaoD4g8fPB6mG9jgWrSZQDDe3c9f13f1QSDAG0iMjGLAaogaMm2mOSEcwiLgQxQVwyMoSScYGsgloDUsF8xh7GbpOce+GFr337v+3fyKVuSCWXLVt2+NKlSZoS1SNGncmJjKNZxx+59a/3WoKyqrOyMcwrxiDtrXKsNo39VI9CgrvYKOilf3PFj1BRUJPesI/2qKGQWvSlgS4nYJPrwIl82pGxglV0xMTgrj37dm4Hd+1WXBSa4HxlOmfCu9S6GBzR+165o+KMtapyrxmsTdrXXFFQ7KDL18Jih2Wxza6u6y6cnWIhMfraLwSvDEpki/SgwGDQwccdKeMIvOzim97x79nepHIYY3F0QDhOFIeQ8m0f/sDPmpv//JvfF4p5apBdMm5N5EONnGAMgWIuJoo4N5QPesW9uy5/7yfkhEZ7VgpXcc2iWQhliqk+z7nnxBrwQrSay5KFfa0N8xkrCTX8x7sa585k4tkqyP+zYyzBPdUjD64n5wEUaovC/wrFA6wO6AvVkEG32sP6XvQiyBcyAqWDw80SJ/M41MhjqEkiUIx3QaOs7rJyz6GeNyPbEMSqZDLbOFNcQYy+4fd/7Nu46bM//k7b1PFufH+G86fUs9FaEVIefcFZW+54wDayOqUai+xOOgc5IoQHQ2AMOHrBHQJCQIsg6EDE1ii4IBGxmM5yWWvIkT/vJYG6qgYAMISBA/J18Hb4fm9v4QleGyQQFoKxx9dt2IfihAxg47pHRKjHL+aLC8y53VwWKh7zPKkmFyLkNdc+EixAAxUgPRRN58tmmEaWv0AuL2jfOm9DCifO2K+2AtwK+Ro0QGDIGCIU/OgLzqqLUQ5804kwtvX0feX9H33o4YcSNN7l2IF7QPYSFyXrX5hXyokJMppdmigZM15+QBSrdRmDIZ1mVVSOLayhYyCcrWLIE5Zgl9vgXsOqWAkWrtgAa+Cb+IwxQw+sb0s1K/8fBPfqiscEQSjD8r0bUBub11Ax4Q7i/tb1N0M9shdlA8DXlnZhXI4l84usjZjsUmlPgwEaMXqyLEnGXckgmYQwQe1uKoQqkCYE4AwwnN+htPrgAw+85Yzzf3jTH8e/FGyfDFGKTSRMarfnhgGzhZ4mqASjATSAAoxx00+FPjMkQAPGFEAEneUeItY4Prh6pGL4MzpaN94MPSED+ZkN8X54HwDwOBfaHnyLsv1mZ//Avp2rnf0DMg/Xgh+Jb0okKh5l/tH9j6wTgCbhfwToL0WvdVVAehuC+PfM++nRrpco7LJq5z8kPMItFM6LMWAQjEHjfLJCO1tVp05aQAlRivf3lfgvjm09fW86/SVbe3tGUGeusCcXRbD6ozETMZMxFxETJS5sSjzicqKINZmIqZiL0GQgCuX/DNhBccsI6rWU+uuq5gK2g2pCeHcxsppovQBktSSES5X754wxQVRd8VjDsWPV6ztmCVXEeF233du6vxS68nxaiT3lw83NKHaS8jurNt8hGV9aap2kSo3cZlFU2TYTOuNK54MDBJKxmIsWEdkG8QauylyUCubFJSY5MFNAn1AQtrW3578u/XedjatAxL4aM45YyCY1pU4iCqs6zYzOtNHaZEZrY8igh28PFmjAaA8cxQeCsXqCvlHQS5GEzl5fXRp+RGZUJbJ2trTaOF4+Z4vtZsJbSdhH0Bwv0kZEQAL2YeAOACA8l02FIMIflD0I1wNhjPExcr7CGXJ9BgYwFN1SXqVXrNgr6KJQYRuEuXo+GB+VGyycgtHnRdsXrQKSVRPKtK5kqUajCRPUbFLTjCMW7u8r8V8ZOtP/dem/9/T1Vm2zFaCGwuVExIHZJucoR3YZMxlx2cSVVaOzBtm2PVVxbn+tzFWJy7KQDUJNkqWjG9qcsnfePllTtVGEHfuir3Hym7xaqhn8+hEoPgCwtJ7kIl7XDYj/5GQ82zFmkXtqxO6RWCpeBPeww91LKjVf+nzFJPM3lw/bc/7dL6cEwEAx8fzmqRET9hRSCJGAgr6dAQTggpEEipiwi5pgjKPxDs6CCitdBbUB5ACMOAcyQAkaBrD84YfWr1y18MjDx2rexmyoOJ4456Dh7p2ajEZDAJkxkmthuNBccME5j10Bu9/v21LIcG07fAkg4nrAw8MaZ1tgMtZEu6BrZgoxuyVJq2SqpBtF1CKj0Gpgi5SsWDwnsgkx9EhqApKGoLiYG9h3w0AN5vqONtRogLksf35g6A7MLm8tMpacJ2QSNJqj74wnv4NBQxzruKz8YScwzKoxyIUp2mIQIAfuL1YrLGMMaA1aZ9q1caYW340GItu3XDF60pyZcnybq/fVWL9y1YqHH64anZIxUL8FBIAA6zHj9knEeMxFyRazspoCUg5M1pLy3Od2DOHJzTNu3v1kBqbIAO+VarffBuuIXEqo+GBBfpwVlcwZY5GUYvcwpBpKY3JSxixyZwC7K1JIwUX4/MVUg21czKe8gOkB5almEouUZb58KiZOnTizRcZNMmqUUVkqKz9SEjIqmM1LK/PEmGDcd6aJ0KtmHegjZhdzWeIi4sKb57oHAmWEg0nywde+aaBnXFUJ98ngUpz7tku2Uzak08x1ZunUdd56gcAsgywDnUGmLViAzmqfZKA1GKfv4b76+N2zAUZb54fiA8gUQi0NmKCxjwpmaI1AKQ+HtdGZi0B15oPQLPxddHJR1rp+n9enTu5os8dse6wMWYsSo43RWmt7MP6QMr/1ybcXRJrIfrqUMP/gNR03ueBiYXV0K4RfMNwfRaNBaxeeaw2m7rzYU5bpLE2zNM2yJAv47hQfB3W6B/SL/30/NFc/97Gtp+/Dr3vLUJpkheXQXlH2xoxHwbry3S2SOw0SH0q7fKbvXRe2W8JqSzQI1Sijlig+e/IhMRdQYAv3SrWDY32Zj4lcKWBtIJvjXpAVAgJhhZd3V8fOzWosz/SuEQCwlW0hJVWD4IwxYvnz2sxqrVkHETFypXsszHjM5dmTD54gS7YeGTz5Xrh5GCP0EueAjCQQMm6ADEMDHBkhI8M5ISETyMHaq8dMGIZOLR2IAQkgZIRA3X29bzrtxW9819snzzlo+szpAKy9swN8pWcUH3A1BmEYwN1ppUnxCTptxlJqNHeFHgU7PYCICCQCCgh5/GLWzmgro2b1VzOH8sbLxrrWwSAOrnMUy2P2BE1Cpoo6ReyMGpDQEOOI2tk7ub2XvWx8gIzatp57RUCDLiV+yPy5+3aiDpk/t/uxJ3zlKBlEzZAxwwxzB8adnjv5cN4vcg6dJ8u4Nx1OyS5gaON3A4jA3WwAz5Gdh20BSkRjjGacM1PI4oIC4ECAmPej+nIdG7ZnOkuztJql1SxNbPxubD+nGdbpoE52Z1UzBlucfTWslV34tr+3lwi2bN6869FNP/nf73T39gQiywVbeZMEl4xHnCsWkqgiiI5EbFSbevEJ517pkwcdHiSKuXrxlNl/2PZIal0cQkVviN8LfUzc9ZbVSSqFgNWx75aOtuwNAVj5INg5PHZTOpYw1DVFbBsIotUumeCTGLA3tt3PhVdgzyuo62V8bLnocc2dU6LGslBWFMyeAuN3voZQI2PAgAMgIJBkDIFLRgaYcd51ZDhFKJCBxW7tzj0qxjVpA8QAGYABJogMkADa2tf7089/7VEYYQYV411dXXZnN3X6jNmHzTvq2GOOOvH5BxrK9/T0XPDqi6ZWdQtXgzqZoLOSVNwWjBe0Aiz3rQg5CjDCd1JbWqYQwNqw2uiA8lakwVu7OS2zOllw+6INaW1vgeK8Wcb2THEw4RiQSHD0a72zaAjuQllBfFwTNk6YsA9BiwAaJ0woHr9GxsDYnxERcuR2ex30ctFo47Ys9l81i2gHr9o1LPWF2A7WGbMXpyFukAwjjSi50cgFcvuVGX+3uGYEIiKJKDgy1z/s99yI5En2JCs8bORudFWne7Jkj063VPdc8OqLrrvl5q6urv19MeZDZzpNkgduv+uB++57dPW6rVu22Cnd2tOjCUGK+dC4dXinb2YuGhiQxV1piRfguec445EveZS5+1WO7MIje63ToRPWZwwMkeT8eS3TbtrxRG1FcP7EZcAhVxTnITyHnKgIlV12leYQVFRZrBR0jaG+7NihD4O2ibaLD4Akt8QW53l5+1Ny7sU+Rr/v2UvZDGfs0MbJk+IGG7P7YgOPI4ghwgckYiCBkJG08TuRYWS8mRHa55xrpOIirxjPCBlwbkMGRgLIAAmirSO7h7NKzAVjvHfjk9ZMbtvGzavuvOe6y36uonjm3Nnv/twn5ixaeCBAfE9PzymnnLJ7a99uLvaY9Gw5azCrlqRirlA176wjn8ez3TpQeNGjmHuEyN3ju9YBdn3atk4/1kqXJF4vYadOulSj7azhhJoYILM0ukDn3xraWS1jkyG6v+LfOSHT0NIUx/usCCSO44YJzQmZmIRNp4M3t3LKgs7C1C2Ejh93y4+PwQkbuerPRhqFcvpc3MQkBHFBZBh6fA/rBwqGAk1mbFNIaNPOy1UNGuE0wax8DAMAY0xmTOa5tSTLEp1aZE90VtXZnjQZ1Mm9Qz1b06F02Jxyyil/ufXWzgMA33WmH125+msf/eSTGx7NkiTLNDoXGquX69QouyMdbKHcLxSYUn+fsuI9G7S+nRe5+ykTBV8BYV/01uSuNZq5DgYGrCzVPGq9eecTeQWkL5gq8u9FQPc8cz68XpujIgTjgjNb2aGkZIxD+yTY1+UAYYwZ7jAAKWOlOLBISp7xXIywIP1ag+t+CgocVp5Erc2sEgB1RI2tpaZGFTNr4hGSdWhswM4QGAdAIEaSkY3ZkUgybhhJ8ODOCIEUI0NcMpS1mzhbRcstsvvI3TAioqlR45DJYi5E8FGzgukGqJI+sXzNB8571cxF8z9z2Xf3r2hBT3f3KSefvKdnwMrsDJpk3ciOFhk3qzjkDO1vWmCtBXfXbxBedwL3aGnxAsTbyN0rx4bgXXsh4hQxczSFqaLeaRIAiLnQhNyeLJuiZISEhnGOrGADje7M2jckF7lX0WSCnf/Sl+7DSm2l1Pnnn3/5935QRaOY0IjAgRB8lQsKtDW9AEH6H4M6tKu81oQREynhbpM2iciuZyVCToajdRxEH9irlQAAgABJREFUwZggFIiCGcG4YEYgE8i5p6ZCcaRfOYTgRjDOeJgZ0sayVS53YmP2apZWsrSqs6rJ9ujqusqOYZNZZ6ih7v5TX3TyzX+5tWvq1P14TW7v6//IG9765Oq1qA0AEwDcZrmADHFJaIhzYp1RY4KmSMiEtLO9aC2aS+B1t21BK9B9LZqz18TvdkngVrDICkgEipI64qbHK7tyyROqT6sWFN9CzTd472yPablPS6627SJ3IccM28cO3CWHiY0QlYjlnXtBw9rNAmOcimnlsNzl4gTFt/QVMgSMccZOnzJrcrmpEEPZ+x81Y2FbC7bngxFykkjIuLUelYwZYParYEyQt7IkLgGlz7dYikYTWgdqA0wwtPyM5XBKXMrcXsfbQHPuk+/UvWr9e17yym9c8+vJ+wnfLbLv7Okrc+WDGrEx2TVfT2nJEvSV2jY0dtV+cm+Ru7eTNZYU9gyJJ9y1dWvLjGfeyfEnqeclUjIpYkImIb1LJ7t0MjVqzAid0zA46gwZGcY4YNGqFX1ZatEtyMpdzV6ycNHSJft20hYtXTJr0YInl6+OkAvGXOcQEXKbCcBi5O5zPDbk9PiOmBF2qoYt6VATV41c2eCdIePccAJOjCPjYARjAplgRjDGkXNjfIdHDbIbboQRwnfthiK0sItKtU50Ws2yqv1qskRnQzod1OmWdFBxTgh2ldrZ03fqyafc/Jdbp+4nfN/e1//Oc1+xp6c/YpwJQX7VNEScSIA1gifpaooIAfJENJCxdUcQNtms5gnk0XrwZ5fBxZcFpzCP7NZyklsLAeGVixgDFkl1dvuc7256oOgqAbXxO3do7kBM5IUxOaY7AU9WbHXmwJiISzCpEeRYVbWMGbhzDounwl+VlDISMo/Z/T5lVG1MzYvepyaYaRCFXSowAphRnrB08tSSitxt5uDJaIZ+L28CM4ZgkZ0Ec7S7YCSIwlfOSHhMlxbifQgvGLc9q24zSD6zSoREMZfG+ecC90ReMFuwHzYd2PX+81711T/+cvzxfaCv75STTx7o7m1wJnbCVw6wO/ZsOVfO4owFbAo5PY0mEkpJKQy3BamhAj2v5QgUs4vW0SJ7FnTkC1/dw7MxW5KhvmykWSjbvlQUlLBlqflKHzp1wBFuFj0tw1Mh0zK141e/+tU+b7BUSl35q1+decppld5tAl3W3ccHyJmrQ6ScmXF0sGefrHyVSdC0iGibqVIKjUKliA7ZbYLB4kIIdBjjxjWGuDnnnvPhRgcvw0LlAQEZxEzr1PiYXWeJzqpG26+7s+rfBrsZMMk4MkAgYmS42Nbde8opp9x+223tHePdkbe9r/99L7koGdjRGMXgvfEMoUHGCBmRQQBAAog5T9C4DRMQgqumDTyJzOmXmnypcKE6k8AEYxIKgVf+CLSM8JaTIhLSacAxzhgjoiMmT5858NiGoW01wmHFbCrkUJ7Hr/XVkHUPHksJRBBFsHhqXtW6r8dYqkJOmwIHd5TiGAmF96bh3osjFPy7XHMuvlMEeuZzebk2FQAIxl7WdVhLqaGsIvsoqcjbJljtQGHFwSUXxS2YcyIOCzjkXznke7RA2AlgwrFDIYzye0OvE90gIwhSlyEisAqxQkVSNUYlvX33F97yHjMu9ithbOvtO/eEF/Vs7bYlBP5TuwvdAC0fGhjRuqLTik4rWTqSJSNZdTipDifV4bQ6nFQraVLJkkqaVrK0kqWVNKlmaTX14aEjAXSitc3dJUYnxvv7FPGdTEIO4jeng5NndP3Hhz+EUrhqSDKpXRtymwiTokmNLiwPOkEna5yQqZJJSE+Y2n7jrTePEX3c2dV1w603t3S1J3mSwB1AWvh09iDdAVu/C3QbFKdGJ8W7PviBKTO6+tNht4mxgvvhUbMKalvfklpzRGPBOq3qzJbBVNLEn4u0kiWVNLHnayipDqfJcJqMZMlIlo5k6YjORkz68FAfMRC1EW7ERMR5/5buc0544bbxtRo32nz+Te9Kt+1ujEqxdD5WNl52lLff1jcIVRS0cJG7RwMksPdmXdhejM3rHxboC+x8MDK0nIzVHLUGLNaSpRRFLeWGi6YtEoznTUx12dS9onmRn/DKBOFFyTkAa25qgVmdMO3/ZEIVQHB91lJ270Pe0J2L0JWbq8T6ashQs1EQF2MFDa9iZlUwvnjK1IYoFjbQsSu/MZalZa6uIWTABNognaE9zcY3H1teKNAynBgvnH5OuVF9aCO0/AwyHq48e46LOiTcXzdCCMEYMCaF2PnopifXrDtkyTj1B+pMf+ySt+ldgxET0tsxh6vcfttnqlure7riJuMjd42opbMVtGskt5d13nE6On/oa2OMseY+ibFopR2mk0OuKppN6Z7J06f+/IZrGsoNj915/1V3/8USBcSJQCCC9GfBq7fk+sC2xVx7RntiV8cfb76xo2sMpX46u7r+fMtN5516xq6ePsW4YdwwLhjZCYRcCdOp6NieW4vv1gEjQf2KY174zne8442XvvGSs87ftLX/oLiZccYJGDIGJr/UCxQkEhniGlFybqN1z/UV3GltyyWhtZGx/QqJydwSi7pqdE91aA/ZalfkxATjgshe89aw4pHerf/5hrd+90+/Hbec/xOr1+149MmGKOKcg92oEeqCHCNHd4S5ZIWLpdCDu+t08UxLXgwTsNsx7MWvNTy7TWwGfOfORcA6OwrnPWsB3SAuaZ0mHuGEUJdNpQIb45qVCuR7HdXMPHkbNgqcUJ+1VIoxDK/H9qTKgzvjQ2eUHxocTqruGmXcSTrU8DB1wgMhR1EQzytkVg9umtQSN5SUstQHEWmDmmtmeNCxtXBkkAtOgrggFPbOtChPnAPWxO85yvOwDLgwH5gBJGBoLzhGSC4N6+TRAQri5sC9pKEUQnLOGUcgbcx33/Oxj175w4ntrWM653asXbHynn/c/0RlV6NQvNA9UdwkMgbrst0NQpZRZWiMsFy2yRy4ayWkYKzILGMomylCPKFBzBC9eZsucjJWH3wEdQX1lOnTfnjd79s6OgDgs5d/7/6TXvT41s2GE4GwlTLG4hflAl12VtHJkdt6G2zt6vzjrTd2dI65iFtHV+fVt9xw3qlnbOvutbyWZCgY576JhTysWzDShDa7YIX1Z0+d8enLvtvY0tzY0nzF9X9869kXDvXusIGCdZJkyABMbXkYIJFGLjhKdBSfZWm9G18+OYbIprItvieoU6MrRldMVjHZ4zTMuAtfjF81w1cJjAHc8+ADa1asWHLUkeNwTe7sH/jOuz9it9Scc7IsnzFOoodRUUyRilIN4KoecxEeWyfO8vAr4DiHUZvyGradh5IVEUohhU2oSiWcS4ySUnDBAAwi53xW86RVu/qKbIw9/6JAtvhUal3Xkkuu5qwA55KLchSX5s6UB4/tBTzGTkyC84tOyohyEdci9zSqLDRUFBVoGajp+wXijF84fVFTXCpHcTmKSyoOhpZh1bWoap19iiybPxncVd9bcTgfyeYIyFxuJAS5QVgYbL+375Oyi0hLVC7IAzkK1S1mQkhpvdnU8Lad33zHB40ec2kao/XK312vECy9XtMezCC/+BgjBiv17l26ujur7sqqg1l12G7q7e4+TQrPPTnjaZyKzmw9RqJ1wZbT8SdVNBXMhjEbMvaRljqm/Oi6q9o8ydvR2XH9X2895bjnG8mHTDaMmbeUMlXUlp2v+or4KuoR1EOYDZlsQmfbn269aRyQ3Y7Orq5rbr2ppbPdHuSId0QJB1YtHHMF9QhmgyblSp5x/AnX336rbXADgNaO9u9f9/tyZ6v9FMMmGzHWS8v4h07RJI7dcgS6m22dVfx5qWRJpeYEJcNZMqLTIZ0MpsmutLorq+zKqhvYCIUoiuXys0Vjbsl4A7GVv7thfK7Jb/z7B4e27YijKFZRJJX1rhKuujPflACDJhnn+WSH7HnIjATh9qx5+B15IWta3KpyXrcY+MKVELl7wy8VS1VSUSmKylHcGJdeMXOpj3KgyM8UUStgRf53vbdw/ke9L64B4BedBGMZtsM42OzFs6c1zp1ZUyoTQLxWTJV5M+W8/j9UQxZOreL8BR2HxFHkwD2KvKdlzrlLLoSvWrXmOGFXKwoZbeGN5327QQHZWXGpZwJYECQkzxJ4wWwKsp/My776vmNP0UgZKRUp2b3usU1rNoz1nKfV5M477+zJhkN1aaHeNg+Hw53/pEh36cTi+660sjutDmaWvfUMb5ZWdDrinmQVnVVMVjX2q65iVkB2XTHZiMmGTepgHdNBkzZ0tn372t+11qaUu6Z2/eb6P91w040nH/u8VLAhk46gA9Bhkw2j9t+65SHhsPCow6+79ZYxZWNGj47OzutuvXnBkUurguyHCgc2gtmwyY95CLNUsjOOe8G1N97wq+uuqcsHTOlo/8a1v2nsbBt2M5MNYTqM6QhmVczsBFp8r7pHVtW6orOqTgupkXREu5MykiXDWTqYVXellV1pdWdW2aWru3TSG2N+unMxZShms+y1sTUduvOOO9Jq8q/NzLMfT65Zv3X9o7FSsYoipRysF3zVw8aFAeQBu38CNQIvVI/RBXgpAD0PAZzwzCTPg3eP7PYOFTnn7vBdqZJy8HJi5yGSiyLbToU6yPydvYmtKIK+/4shphScN86dGc+eNtZzPuZcGxNi0qXn7HjfY5KnxVLIYKnKCw82qiCSOyEwVzBjFVjtuhpHEWMciAyasOb7umNX1CHQIzuhh3LkjAkKRwI8PHc7VreNCpyMzbzrXOXZV78xp21bMMCt+ehuwbCXEXAiSrPsik//98ev/OGYSnwQg550eLdJy1yGZmAoOuiFl/y/2FFmjcNJCU1ZWMZWlqwJtZDgxADyLp6ga+i688F1jVW97bLnYTLLxjR0tn7nut+3du6lWEgqtWzZsl9df83Dy5f/9ZrrNm3v79mydcuWzQxYf29vR2cnA5g+c0b71Kldk6eccd6Llyxdul/Ex7umdl13040rli+/4Y9/6t2xvb+7e8umzQTQ19vb1dmJRNNnzOiaPvWQKZ0nvuSsw5cufSqR/dbOjm9e+9u3nX3BUO82LPTQm0KuPrTCe8zi+cafeeoSAAASo6voVwJnj5fplgbQWa3JRM3J9skMYMAGTbY1HcIxliUwWl/+qf8WwKw9IWPMKr8xjgz9h7HHBgBORMTdyyYXUs6VpmQNJ1MIyAK8+E156J0sxO91KC8kd1aODtmViqQSUgIXnIgxFkllo7tcjpRqyx9DDq+mpL3mkCwQSS6UVJMvPWfsPDrCGI9ESnn29KZ5M4eXr7NpVden6itM6tTaAlEVdHYM5dqQAHBc28yGKI6VYioCzgFRGFcfZi8HRDQoJNrqMRTEBfo6GYY1TQdUEGwjC/TgC/BBABOF9D0B+tIdBoXggijf/hQUYv3dEhhSxiQXUsgt6x55cs36Mc2sEtHGLZvc36/zb/THGYSPgohyOqE0mCRRJZko4xLXVZQxl7ERoVQgqLTX4LuvpNSEwYFzBLOK0UOYPV7dPW3mjB/dcPXTt3FZiH8qVylwxkDRs7ElGbuhlDpq2bKlz3CQz6w5MaWz/TvXX/W6M1/yyOYtB8ctoZM+UBCuaCTHqWIZMYRiYuMFky2y79JJ1qAaVYNPfRdErmrPv88XuBvqMX+pjN14cvX6reseaVCxFELYyj9mUT1IXhStGoC5bKrjP4P+hf3Pd3vmhEwNocr28m0eWXtMlyFyF1wK7qohpVTSIrsCKUEIIBAAZRUf3zbrhu51RQqhSMIEQkLUM8zuR5bcj7hUQjTPP7g0e/pYzzmMD7gzKdrect62dz1S3AcJ9PheTEowp5BZ6Ohl5K3v7ISe2nFoSUVMRaAi4MxKKTHGIgBbMCvRSGPdio3gXGChObamEDXguEt227odn9ArNiAAtytHwS0kt6EA4l7ZJhQoe3z3ev82UOJcCE5Vc/0vfvvWw+aNXfC+rb+/VlHaH7MzLoEg52DjcS+QguVyWZR59/CgTCpTRNzAVcxlxLlH9lxLOeC78U8ywopH9ieTQSFFJeLHv+jUL3z1K8+yQfdZukrt37FPDrK1o/2nN1zzsQ/8x6q77h3WVZOYmVGzAdLOTkgIX33hLRB8GXHB+ckWII2YbBtWTSmaMmmSIXLalFazoBYZi2XadjBPHA/09Tc2NY3RjBmtr/vlb5I0aS6VQwVE+Gnwnwqqi0TAOXM6+BTipTxyyukXv8XJu4cKpkCjKwgCK8I5z0vaiobsQighhZRgH8LeoVRS6tTOQ2/q3kCkA74HEqZIuI8qaWeCceVEDrjkXErZ+uYXMznmYTuMD7gDQOOcGc3zDx56eE0xvbC3+tC8BN6WBfAi10akmCgJSUCgFCgFnIFB78FGElGi8y+WJqfVBGccC+IHXpuN54WYwDw5w4g5xZXwig9+i8gOIXgn8voHxUNF25Vuq0s4YwgcCKz+4sDW7rSalJvGavLvv+sek2mbAiocMOW3d+7ihogcORlEjsiNYQImNDXxZp4QJjuGCGCSLEGOC/YfQg2+O3A3m9MhJkQ1Yke96OQLXvnyo058flwqyf+DGrPjMFo72r992Y+r1epDd/7t6l//bt3d95XTBLPh6VGzYqYmYC+IT/knQAA7dIUIxJSWCbypoA/hRO+DsH7o3acQbtReyaj1fXf/7eDZh4zRJ02rybatPSUVWc2curJaoloXL7veMOadGotau+65CGFysQ4iyKbX4fveIb62p8njuxJSSQHCg7tUAACESFDiQnFexRrCvSYzB7yY2g0Pr0lpu4t58/yDG+bMGJ9rbJxuPCbF7E+8eecln6wMbOO+f0w4XdOgmQm1Oxp3trwVGbOlkJ1xU7lUBilBKWAMmAnmElKEmN25GPs8Rk2BcG25EhRpd0ZOmZNRXrHj7zEoxEBu2K4KzhgREMsv0fxOQ84ZGsY4y8OVgS3dYzfVOtP3/PoaRcCBk1cnJSJkvqOd5c5whogTckTODDcufc05s63B2FzKjB4ZGuTANJFkrIqmpCLVUEJCAmbJhJa2KQzokGVLDmtuOOKYo5e+4Pi4FP9f1A0f5yGkbGxqOuGs048/7eSkmqy86+8P33u/GRx58oEVDNjgtu0WzQXjQJBVq5U0KXMV8o3UVFJSojEcXdVWLvuTO4dYhHe4GbhsZ04JJIC1gLz319dccPFFY1ftbi94xgAJCRnkd4f38Sq67zojFCpmAgoNRMSB59ua0BRZWxCR43sO8cXtu4/5Qvwn7BMBIoC7F34xJiqVOkpNOefuW6hCvpTXFskIH84XFSiVkA0TJxz88UvHJ2yHcQN3AFBTJhz1k0/848PfqK5cr0wmkIcOroKDR0GZoVAzA67InRCwI24EIhAShMj/tRUcF0LsDdPr2oKZbzdwT3wXlW2Z8a1TISvgVYiBOX9MljMeVox4oDokGS8Etk4LwSA3BjlDYIBWFYtQGzPSv23s5jlLkr61j1re1mnpMe/RzLy1EHPpUE7MIONBRd3q2XKrsgmIqI1JFUt1VjVZVWeZYJ/85hf4npHJ0zonT+sCgFC2TwBRqSTG68L9f2kIKRua5LFnnrLs1Bem1WqoGtnVtw0Admzt2bm1z7SUP/lv7yprJjgvSRUrFRlDAFYYGSAovjm1H4ebVEOdhR0b+m5PC0y9ax/LkmTswH1n/7bIABJpY5zihbMjMbmiUYHO3JmOMGB1dQqBmSmU9uYtYEGUsXbHU9ym+9gxhwUuGOPcldIJLqTgDtmF9AgDICUQdkZNmLNDvoXKZm6LtZi1mCMYU5zHQsYymrxwzpLPv1NNmTBu19W4hldR68Tjvvexnesev+9LP0xWrkuMTmo6dJ9SkMFbqbEU8Y9b11zaMrFlcisIkVsWkDWXkEJox6gVEqf1NZd5C5UvECwAevDstpQkYzlZhER1Cm5oowwismozLCA7csY0Go6cGSASrtkKDWOQ0hjqEESl+NhTX7jlj1c3C7VTJ7k0B6sRxjFAnMgQMmIM3cciIkOcI7PbZ6/x6xQfM0Kh4lnz58445ODxvGz+vzOEFOWmxvBt5yGNANB5yEEAsHnjEzJSlZFqCaRGYzXfichwr4oMBdnOGjMs7+cHeU2O9yGBiHPG2HGnnBSNpXF2RhgzrrUmQbbwwVqvaO9QWOc1aHNUe63hYYU+fpt+KDZwFORmWTF2rDO6y5+HCmnOpeDMAroN3oUAwQEYcD40PHTV5lWJMX5RhLrumVpmxj7hkvGYy5KKOhbPO+qDl06cd/C4xex2jHmde/25kWLyojmnX/b583/25ZmHL4xlVLOdKVQRFbPPrnkBQKP5xZ7HYqlySxrO/WQK8GxMoWGKs+IyHuzJC6W+ofyA5Sra+S/kHP3edJetD4ujofOyNu8K7eRYTWqs3LbOtEak2UsXjV3pmZDytLe+rixVA1fk/WNNsJMNdzjlEgJO4jF33XPi4JnOnJYvauu82tw2Zcq4dNj+/0fdmNLe2tQ6Ochtpk4J0mr7OGuOovByUNV3Hoeh1BJ89SoQATVy1aJKp73t9WNHoxHAIUsXIlJaa0+Y7zAInbVWIUPAWC49UrTLKNCkxXsZvIVpUC7xLp5+s17sfvedjC7KtoSM4MKBiYV1hy0MECOpfj70aEYm52TYKKWaXDve/aikoplLF557xZdO/vFnJi2cPc7IDuMP7u6vStG+eN7LfvaV1//qm4ceuaTc2CiErIvci3WjBCCVbGxsPGLZUV/+1jdSrU21EuQjnTGNsx+rQfY6LQ7Hv0BofmVFWeH6sL2I73sTXQ5Xkuuf9sqlBQFuZ6RgXUAtYg5n1cnTuqJ9Zy4xehw879DJcaMlyg34vXnB8SAUL2rrDupE2E3mISPVTqXE9rVbifaUcOa8OVFc2i/XzP/HRxSXDpp/aGrFhMNK7IMG6zTr8B11wPcaD9vgBmXxnUgTNnA1OWo4aO6csTzyeMq0rqGsmuoszbxbb8B3bzzrdhieNYKnUvwGYADCV7v5gKymSDSP4v0tX+TiWUCG0DbPXQlNwcKQO39nYKYykuj0K9/65hFHHdXQ1CiUdMKCNjwH7/vhY3klVbmxce4RS179y2+c/9MvtS2ey/cTV7k/s15cymlLF1zyy29mSdr9yMb7r71l9+7d3Vu2bN60qYpmc/fWqR2tVdSt07oOXbjg/Je+dP78+XEc8+Fkx4N9zb2JK+liXpbDR9t1Xa81xiC505M//xQ0YRh4cgYKnZxPM2ywMGRSyTgWq0cQi1IhROSJDtSIkVQnn3HqmEo1qThadvgRW+/+a082nBFabXROzAAzgNxrOjDiAAhgIyWwSuWhQYbIJe6som+Kxgh4yStfPv7GUjrLkiQpNGPlY0y9DK0D3OjXCSiO43Gu2pRKvvgVL7vrpltSYzhjDA0BcIYcCmfMnTI06ETW/FcK+K6JNJEVX4uZmCzjow8/Ykw5Ganki8449eFrbkq1Ro6M2Xy9s9YK3lUmmF8DIVGKZpSjAwH5DbTnZFgNJwP15Ey+Qc/bTQptkjk/bl+vcQ6y/5qMYCw5bMZJRx37gptuSJJk3bp11119zaNr1m7f0lMSck/vtpnTppW4nD5jetf0aRMmTDjy7FM7D52l4ojv75qC/V/SwKWMpZx1+KKZi+Zn1aTQyxA0HCCOY9uXqLNst0l2nHdU27duA6OBc6jNugQRrxqbJ797K/yweNWEDJY/pb7th+rfvfhv3OUSNpIIZBjaMhtjLYVcyw9nXnReI4pSNP3Q2WM6pULKcz7+rjtfcm852V3RVQ5MEOYydbYThCEgEOPA0PrHhjZIcNOes0wJ6ippkPGxJ50wLhcFgMf0+26/676/3/vk2vUDW7sF4zv6BxhBa0cHAi05dlmppfmoY49eduIJ+xDldZalSXL/7Xc/eN99I3uGVt57Pwe2vb+fCCZ3tBmitmlTDzps7jHHHnvMSSeMJ8ofe9IJJGVVJwxdm8/oU0YEVkCx4Fubu9dqyGU1M8JmWWqLGs/5+LvGurRp+qGzUXJTTe29YNNUhhCdlzrmOnQ+PYBAQSfDfTj7rRP4qGnE8qEYK0ZvBbqV1Ub3kD8pyO+MiugIiEAbSNMdL3meMGkzlJqampYtW7Z06VK76oe9fjg2FR9AdWIHynEAgJBSPHXpt8702hUrr736moFdO1I0n9jZOTGO5YSJAKELr9DoVjNY/TeBkykIUoYxWh6o5kcAgbqxV0QwALMIaexvIQE3gNxGxMzpEpNG0zalY2LbmNPWsxcf9vxlR2/7221W5YoT44AcnOAi2MDdXb9cACEwTpwVIiXyRgqZt7Q+5sTjx5RNKo6+3t6PfeBDD9/xN55pbkgFc3pgnMH2J7cwgNue2KIJ//yTn5GSS0447qNf/nxb53O1nhjo7fvMBz+y4s6/scyARlv/AL6JYdvjmwlg4PFNy+/42x9+eDlFaukLjv/MV740Pipmcam09MTj773hVkscSLseg+cZAULwbop+3EAhhM8KyN7A5cFxy/OOPuaQxYeN9ZFPbGttnDJp4MkthjsR7FCJixSQ3bfpevIdQgEbAEAoJWZFuM9vTlYI6Qrkqi+5yEO8POovFljkb+mfIAEzenhw5/b+73/72zETrZMmn3Hei+ctXqSU2i8aGP/sOIDA/WnG9t6+/3rjv//9wX/sSSrDmA2bbFXHQTe99P2gjffzwIDGRSmKWs9DAICnzWTm24bR+B7kWQpxATBg9v5hQMY1fqJ7L2TEgDOyv0lkRWvN9Lmz1dhDpJDyTd/78n0nnaUJH6nuSsk4uwDyDVnEiAE6HWO7OSV7L/lOQfCtp6aKpqmr/Qtf+e/xuab7enouOO3swZ7+spARE0oIyYSPUsGKYtsbVlsCupr948a/vn7FeVfc8Mfngu8DvX2vPfMle7r7S0IqxqVU0oOnhSFXf02kGKZk0kp67w23Xrj8rN/fdF3H2FtOSyk/95Uvn7/8rJGeAQaAdk48uDN/oRYsZdAmXSy9nnn72ZRMzMWh5UlTJ7Ve+t0vjUOkqeJ4xrw5Wzc+gbZuzOtIY47mxd2Gi5ZsxwlQTrlYqY9n4ktZ7bMC71r343wUenbtfY8GfH/Nxff9ZlX/lgahGrn6/Q8vP+aIoz7+429N7tyfrsjPcuyfhOo/NXb09r/z9AsefuBB1JoxEIyXuVy9bcu9G5aDzkBr0BqMAURAhNCmkbe2QTG2t6/kPxjVepp/O2phqOX4gAMbwczbsSMW9sIuUEKTodHBZAe1ZnDRO/5tfGjrCR2t37392pbJkyaJWAFPCdPa2M0/jHuC3gjJGSTpBLV1FGqc2v7Hm28YHy3Gvp6el59+9nDvQKNQJS5jLkpcloQsS9USlVvihrbmCZMamppK5cao1KCiBhU1yKhZxpXebZeedf6/bC000NP7hjPPG+kZaJJRWciyVA0yKkdxU1Sa1NDU1jyhrXHChFK5LKOyVCUpS1yWuGwWaqRn2ytOP6evp2ccJqezq+uPN9/Q0NVmbZ4S1Anl5lAZYorhLJuUcjfXzEvhp2QiJqbI0oTJk75z+58ndIxH7ZNU8pVvf4vm4LT+g9EuGk1GF5Ed8txv1dHuADXsuY/dnzpMK+zF954522v+xsM6gTFgDGgNOrtvw8Ort22VzCaqSGf64X88+L4zLtzR2z8O8/YcxwEN7kbrxx5a+YEzX75tYMArSFiLZw4En1h9a1qpQBbwXVt8D+5IQbYi77svoHexvsqvB3l3/mizc0NUW3fFbJdQ4bqkwHIGq0/tzUVTNIkxMxfOP3TxOJkxAcDkjvav/vKy1lLjJFkSwKxaurOCI6xxffNO1tbAOoiMV1E3drX98ebrxwnZe3tfdtrZu3v6Yy4iLiImIi4jIUtSNai4IY4nNTY1RKWGuNQYl8tR3BCVyioqSRVLWRJysGfg0jPPG/jn8X2gt+/Ss84f6hkoCRkLWRKqJKNSFDVEcWNcaohLjVHcWCo1xuXGuFRWcSxULGTMRcREiYs9Pf0vP+3svt7ecZiijq7Oq2++vrGrzWrBV4McvPe98rZ/3rCQMEXjuDXSionJstRaavzvX/xkPE195y5ZOHPh/MS4dcguRXbtCY7n2mcIQoTkuTgIqI71qEx1/w9PnxrW9/IP7DYCEMEYMBp0BlmaVkY+tvoWjRj+gQWFgYGBD5/1io0PrxoHHfznMg5ccDdaf/t17/7sBZfsGtjmxIGDUDADTfTQwKb7N66ApAppGkJ4bVvzCIsNEV6osyg/lOt6FXRXQphf4wwQevxCcsaaN27X1WKFmU9YOf3b3CsZMSWToG7uavvS5d8f52qT+UsWvXDZcXPKE1tVmXt8L7p3puGV3DXCmWMMo27ubP/DzdePD6fc29N73iln7Ozpi5iImFCMKy4ib35m9fqlEFKKSMlSFJWiKFaqZB10hYqEjLjY1Tvwhn8S3/t7+153xkt29vQrLiIuYyGdhaaKrGNDZNXCpIyUKqnIO39KJaS134yY2NXT/9JTzuzrGQ987+zq+sPN1zd3tg9bjWXvbeJ2XeQ3XpSDfoKmSlox0SbLc0oTX7TsuPlLFo3DoYYhpPzS5d9v6WpLQt0tmRAA6ZxB8jboQBpop64GfLcQn9/Xe4vd63bkMOp3ii96v7bcPBKMBqMh05BmkCT3P7Zy5cCWBI0Xp6QQ6u0a2P6FC974/de/50DG9wMX3DevWv/ofQ+hMRDkf60UgetLJoP4qYdvykaGIalAkkCWGZ2FzggrWWFNGoPZaXhSkNCqYXAK2VRnuI6AlvEhvzEMwjjaVxDrOogPvAcGZDfNne2X3fDHtvF1mQAAIeUHfvg/xxx9zKyGSXPLE2Mmcrvn4hP/rYV160Exoav96ltvGCMH6rqRZdklr37NdudmV+NJpriQQioplRDSmrEE9W2lImUduEQsZCRExMSO7t73vO5SnT2ru05n2Xte98YdPb2K84gL69ccOdMG+/6RkvavB58vC+v28LhiQnGuON/e0/vG17wmy7JxmK7Orq6rb71hQle7twrJKmiqOaDrPJx3Ab5u5Gp+adLsxsnHHX3Me3/w9fEv6mjr6rzshj+2dLYnpB0HGChBH7bbXa+PmdAQBoEwr5iWF6c591rPs46upgiv5HqtPqIbbQusjTZaQ5ZBmkBSyUaGP7viFovpqcN3/1Y2K2D0o/c9tGXV+nGexmc/DlBwH+rf/vO3/icaDQW7E6/0AuBX5od3dt/T89hIpVKtVqppNcmyVGfF5gh72hBzfA/ejD4Jm7uroC99yc0TCg8bO1ifdcH4pmRQhz4gG2gUYd2akRLa7fCErvbnmOt7LmNyZ/t//f6y/7nmyjOOP/GQhkmHliam6OV5jR7BLLhqWKRIOVBj6eRzzrx2HN3sVi1fsW7lKutT6mX0vWOOEFK4J0II65tjhwV6KYTVblVcKi4U44+uXL1uxcpn83fXrlj1yMrVigllM7fOdM0tHg7NpRT2j3Pv4Ci4tfqytdKSccWEYnztitWrlq8Ynxnr6Oy89tabTj7nTGospZwNY2bP5oh74hbpCmoEmlOaOLth8hnHv+Ar1/zqI7//yf7KB7Z1dvz0xmtaOtstg+QCoDqIh5q00NZ0yOuwB3HWGq0CuzsPWgU2OAMfwFPYu5PH5QKm24dF9kzrNMuSNEmSaqVS+XvPYyt3dtvNelg8iuqqhkgb/Yu3fmSof/t+mcxnHDXaygfIQK1/+er3rvrHQ4MmtXBTcS4zegT1iMnsVWt1CjtKTX868Q2T4garu4uImTGp1mmW2rbsRFuTzyzV3grO6GDfnHqvzqr/Wtnbo4o6IyxxWeKixGV/NmKIis3HknFRo0sHoQSrtavzypuv21/IXhxG63UrVq247i+rB7ZmZO7+290pYrm5aWjPIGfsoBkzu6ZPmzxp0rHHHnvEUUdu375jypQpzS3Ne30rBrAPS7yzLHv961739xtubRaqgauIi4iLmFs2xhEy1h9HSSmE4IwDABFqYzKtkyytpmmi02qWJUaP6HTIpOWOKb+++fqOp532vt6+V5x6ZqVvR6NQDVJZ8qcklTVutFSMsILhQFZGzXYaJ1mW6DTJdGKyxJlTG+ueeuyZp17+0yv2VVmRLfZ/qlt0cM+e7du2T2md8tA/Hrz/3nu37dzZvWXrps2bDOGElpaDp898fP2G45/3vIiLhW3TF531wnlLFh0IVdj9Pb0XnX72tu4+yMlPG3JZA0sMO2CL8hETk2ScoKmSqaJu4KrERZlL+yjlX0WJ2US3iO31w+yFJCIuYiHzK0qoWMqSVJH1dJMqkkoJa0LOkHB3UnnpHT/rrQ5mZDSRZLxJqEauGrhsEqqBqwahmrhqEmqCiBctO/Kin391v7csjR4H3AEBQO+aR7auWk9eIcjvyEKHUW6NRMC2JSNvve+q7y87X3FpF3bj2uitvIZ7mLwV2+vkEdl2j6LmtSls+vLWJKCM0KszCwBo5GoEdUampi42eICQa5oAgK6url/ddO2BgOwAIKRceOTh85csSpKE9raqD+7Zs23btimtrVu7u6+7+podu3YCwN/v+TsDaG5uBoChwUEGcPzznqcYnzRx0mkvOWfu/HnPHeWTJHlk7XrFuAAOQVbCFyFDsHgGgEL5RDj+Gnk4AMG4Ynxbd+93v/Wtj37iv54KZ7Ms+863vrWtp3eCiEVwEmeMMV4rWWG7FKCuyKKmDZIxW8elmHhk3fokSZ4juFtM37Bu/S3XXLtj186McMeOnevWrW1qbgaAPXv2EMBxzzueAKZMnHju+ecdcdSRMw46aErrlJaWlrq3socXH0jNNe1dnVfedN3LTjuzt7sn97jxEG9rZkIbbZnLBi4VE4aTMGjpUASOUBe8E1o5a7f5Bivkl9M4QSAECTkikhNZ80KVGoW9qLQx//6PqweSoVBekRftsDxba/WmDNCWlet61zw6dcn8/T2v9eNAOd9hoNb3felHqc5GmRXkDk32eg3mMusGB/7e+8SiiZ2EWFKR7WzWaKyOki23MojFiiskNBCeBCoG6wiZjFwlCQJFTJS5mBY1DWNmlZpHMBtBbc2YJJGxFk62W4JAKLVwyeIf/+Kn7c+a2dBaJ9WqfV5svN63TfZCyoZR93mWZUmSPPSPB7/x9f9ZtW5NtVpN0hQAODAslvkD44yt3bDBCqh+69vfao7Lixcu+tAXPr146ZJ/GeIH+vp3b9uumEX2YvWbG3lKnAiJOKBTJycvr89qCpkF45Lxod17ngZnkyQZ2r1HAveFbgC+zjX8WcsAMJtmz4m9kKnJXdHtkIztHtg20Nff9K8aG+ksW7l8xZc/8l+rVq0aTKqVLM3dooNNBDDB2GOPPmoP4jvf/W5cKp100kmvufhVJ7zopHEwSKkVZsijhMh3kj/jaO/q/N0tN7zx1a9dvWKlzrKiUVSoN2MAzSJq5LKBqwYhp/LGx6q7MoMpGYVcMdRsb9GYPU+McBR7kyv6IWpuBHKOxopramMYY9UsZYyv2tWzbnCgmJItqHwXIwyXBkh0+sCXf3Tu5V/aXxoyTzUOOHAfWPNY96oNgvFaa5WCCkRBAc6Kg2aIn3vkzq/OO6VZlRKdCc5dxxAabUWUjFXIcl/rdfJqTCzRuBZtU6wUFIxPKDW8pXXRqmxnf2VwME1izGIUMWYjRidoDCMrQKykiuP4hBee9L73ve/Z453OstUrVl5x+RV7uvv6t3QLxpU3q+qYMW3WgrlnnPfiQxYfNhY3bZZlK5cv//rXvv632+/IklRnGQfWyHizLDPvI2gTEgCEAHaznCJyYGlaGUyrfffedc8ZZx11xJEf/+Ln/jWI37B2rUlStRehKF/RgGQzJ4YhOLMscDZXNm9eaG2w96RkbM+u3U//dwd37RKsmHZyhK2L75CQIfhdAmJt/gYKS0thG4Fptn7N2ln/vLGRzrJVy1d85sMfe/DhB4fTJJe1IECgiPEylyK3l2OScSeYSoAj2T3X33LfLbdJpZaeePwH3/+BhUuXjEXHmc70o6vW3Hj1NRvXru/bshWJtA+0O6ZNnTCt4/VveMOiJYufzTXQ3tl59Q3XrVy+4qtf++odf70tTdIs0+TWMGjgskGoBi4dGRLHHaXm86Yc+j8DD28bGbJXoGSYESrKu1ud7HZwSWNU0/iKXDMUhBqRG+TMMANEZLhhwKo6I6LBLPnSI3dpxOC4BADc7X9yweGilA0HtmXFuoE1j3YsmbfPJ/y5jAML3FGbR352DRkjWBDqLBjRFnSZ7behZnFXVnn/ulv+bdrhcxqnREIIZrkzyvUO0WRWBNWnPQt9ca51QgP6NhBXHWyfM2AHd0790te/etILTgQp/nHH3Y8+8PCG1WsTMk9serLimfqO6VMPnnnQaaeffuKLXhg/6xAmy7LVy1d84sMf2bBiNTcYMxFxLplQTiqa73hyy/q777v1iisPXrjg4ne+dcnzj1X7LpDv7el91cUXr1u1umxAMh4DF7JkF9RAg2prpFBbPRxWvoyMIWbS6t333fvSM84+8ojD/+uLn1/0z0C8zvTqv/4NM01cBnNXqMl9obF2UWjsis6ZayU0Jhj6GKRwPxIRceAb161/mm5GBvDYug1WczT0Q1jNE0Fo0HDDAIAj2uZI6zWhjTEO5KmI8nZ6EMBkes1tfzv1zDOe/TnSmV61YsVnPvSRhx5+uJKlGZnQqBkxbinj3IHSe0PHXNgNisr7Lcgk+oEb/nLhLbfNWrTgl1f+qr1j3/CBOtNZkiy/6+8//9/vPbFqbZZlfjOBxvMnWx7dmBJe9+vfz1uy8FNf/MKiZ7G6SKWOWHbUZVdckSTJ7X+97babb3ly06b+rd1lJkpclbk4aOZBMeeHHrZg1lFLjjzx+ZDpuXfd+aH3ve/x7m7p+u+47dhSZKvXeBA9dQEcQyRm3AMNMs2MA2gDQJQxY096Ysyjw9t/vPXhXTop1lkUfJ28I0fOyFk6jhHiYz/7U9sX5hxQwfuBlVDNhitXnXbprsE9gzodNMmQyUYwq7jUv82j6opPqI6g1oTFlGbE+azSxBNbpi9obpOcC2AEoF3HhElNobgba9o9EtKVQoGBTdsOYzZoMi7FsUce9aOfXdE1dWo4TqN16jTOcnUzKAicPasPm2Urli//yAc//MiKVcJQzIX0VYCxNUrnXFkvsJBmEPz/x953x0lyVVffe997Vd2TNudd5bCSNighkYSCEQgRbWOCEQiLZGwTjTHJRIOJNrYBAwYDEhZgokgSQQQBEpJQ2LzSarUKG2Zm8+yErqr37v3+eKGqZ1erFVFCX/2aoXc0M91dXX3efeeee44yevGjH/GK97z1N59AGR4aeuKfnG+G9pbiNGKdfdhINeuwY5CKOZXDENVgYWomTLQzi2REGaqWyR556mlv+Jd/PnHZ0kMBuLGxsb9+/guv+dGPU3/Mjy8ZUkapjHyypddBhgzFZMQWguVqM/qqcLZw1rfHXTv7+dpb7yv6eWx09DEnnqwmihbqVqPbZpQ2QYfjw9f8jlyYJeUclc76R6ycq8JMb2jIj7M967yzP37Z53p7e+/3tXvHpPe+8Z+uv+WmTll6GtAKA0CGyg9J+WXe44uPoFOAOWmN2CatYiffNUSELFKIM/NmXPGD7836ja+TnUPD//HGt6+99kZXVuA4kWNpnsN/oFL/sxTnFB239KT3fOB9y5cvP/Rl3nODMNkODLLu1MbBbdte+Lzn33DrzbkD34HvId1DxrPz/hJq1UNwKvMDE/VN+39qpQCARSp260a2/2zflrsm9pTimoJmK6IQeyI11Euml0yvCo/Yq0y/ygZ0PqDzaf0Df/aDT5ve9m94tn+Lx4Orch/ZtBktKwpXczN1JWxI63+SAqy6FKziWO6a2LO1s2/RyJaT2jOW9s82pBCgSvjOrpo0kxnucz2xKTzBtqOA2/mFZz/x1a99zfLlyydBttL6N4y3Hty27UUXveDmW2/RTjJUGlWMaQUE6NGZRtKkdIgRCPb0AGItr/3xL/7+6c/70BX/+5vg+46h4Wc+4Um7Nm87LO/vAe23+Unw48I8r/QRjHFVArdJVRJG9RQig1QiJbuS0lQUj7rSobhSrrn+l2sufPqjTzv9Ve9+2zFLTjo4xIvI2jvvCGHNkUln9Eo1dILEjM6B9zIjcQ1w55g0EoYbmt1ykfvV+RJA2rwnVRyG0EFvI8PI5K2BPDPkH841ckoTFZ5o33V3brzfmslWdsOqNR9+8ztuuPmmXcVYGefdAKAVZB6UhrkUItSVOziBNqk+ZRKy+3YFi/gxOr/ZumfL0PMueOrlV31r5m9wnewaGn7N054zNrTTT3gBpR0VO2ZH7JhzUrurjl91AEgAxLm1N9/6lCdccNopp3zq85ce4qjEIRpyzZ0371vfu3LFihUf+tCHfnXNL4qKiZ1B0kKVsBbWwpXPF/Oe1pQMn5LFgLCIOGvZ3bpvcN3Erns7+ypxzo+pNoK5GSSDYFpXh0xATREnuhgqN7Jp84wlx/7ap/q3fjyIwF0cb//uL0ikEdNBNRuTwrFiPBMhoThPu/uEVQERQAtyb2dkqBj7+ciWuVnvGQNzZ+h2sEwKX9NMdqRfxJXiOuwKEpuZR571uL947rMfe87ZD6gSP/RjcNu2Jz7unM2DgzkphSrMaMTX21aGAD2ya1JKeZT3cQIEIpbdvuEd//hnF73va5//9fB959Dw8y94mgzuPqE9XacoSAxrZ+xgIwG2SY9yqQAdyKir/GRgNBTjAiljylB5zXKOapTLCbYOaUdn9Jrrf7nxqc9ecNLx7//cJw+uFxocGoQEyhiah4RCLAiM6LztfEoBxOjw5KvpOlgu2oI7EAeM94ewjdG2sKO3DT8TEXLkAzgTInjzcVc559hFC/Kmo6GwyODQ/czHbh8c+oeLX7J59W1DndG9rvCro3dqrItNDCWnQZ8IEQYsclQDKnMgAyrrsI1hvwAAteuWsBM5oT397s3bXnLhn/33d7/26+H7rqHh1z3jeWNDO/tbbW/WFs65sHPOI7sjLp3rVdmYK9GfVC9lQWHnrrvhhgvOPveqn/74tzsKZ4w5/fTTL7300qIorvvJNV//0v+t+NkvS8uKnRbSwiHGKSK7YKBZmML52VKMXD+ybbAc894MTpi72jxhAfDN+RiRSk2KhgCDyMqDvsj27/5i+uKjfv+JS/d1PIjAnYvSbd+bkQrtU8AGV9A8oV03rgdK0TdSSEQQHXApsK0c/e7OTXOynlmm3YOGQQgRBfxnycN6X//AyNiIzc2pj33shc/680c87jG/U73B9sGhJz3u3Du3bQn9sUagoELUGD9CIYokmCBqpbSv4AEzkVybXUM73/fXr33Plz/3QDOpdw4Ov/RJf+oGd01VrZyUapxkPy2i0/YI0KAa0FnJzonkqJyEcVwrXAobpgLJiDNMnttBgAmw42wdi9iOTIhefduLnvSnn77y6/eF74g4a/bsbZvuSWoHK4LAxECEKICMyf2DmOpwCgDxwRQ+VU78pzQJpWXu/Y3qTJ87e3DjXSakD7LlkG3rpThKiNjbIGMaaEwZW96FPNmhpLK9Ep43e9bBL4BLnvSMcmjXULFvjysm2HrWq5dMm7xfDZkI8cGGAclQmJPqI6OJWqgJoUUaajPIYPZro8bXiRzdmloM7n71k//iP77z5QdaBzjr/uVlr943ODyzbyDSU6GrTMwIAA4EwUfTEGJGCn3bHTh0fUE0yp1bt1x49nlXXvPj3/pAnK/0z3/Khedd8IROp3PzNdde9ZWvrfvZDUXFlbMVcYVshCpkQ7SPKyeiEMdctd2OD5VjfkjKRUfZsMw3IR6gkf1Jqllfxmg9isW7Ucpt38tl9eDJiH8QgTsAyI69Rul0+lQjn7AGICRKaymQA+dhnQI5gxLErUgQBDDD5fhu28lQKVKayBBpUpnW7by3zxhEfP2H/nXZWY/6ncb6+GPX0PCzznr85qFBH8qVNiWIkDYl0LBAqONjPD+jlC/eWdQMnLJnw933rL3tyGUPwI9759Dw3134zM7Qzj4yntLVjQs3cbsKUKOKan3R5LGbCnFJqWbEGSTDVAgZZMOkg0srIsK4s6OuEgCY2Hvkdnr9xS/91He+ekCptYgcf9TR99x5V+hyI5FwmAIT9htqCeU8ExIl0aOHsxj1kFxKosOtO+r44w5SugvA0ccft/mOO62wFnIoVthPOgbNNTNheLTJFrVdD1fbXXmi9vij7jOMxVn7Dxe/lLfv2VLs22OLMa788HNPHMnJA1McK3dUBin12NukDVKLlF+GMwQA9N4Y/mzEFOzgZGeYDFIxuOsfnvKcD3z7iw8I3+9eu37Xhrtn9k/NtFak/PbFsSPHAFaE2AsOEQDAj+nGXVcswiQEit4zuPW5Zz3hKz//4e/Iqkxp3dvXd9aFT3jU+edVRbHq57+87I3vBpHCViNlUdnC2jpUtmJbxXmXJLJqDKt3QbwCFRjLWP34GfUQlAqkon6vx+S8Y+9v/lp+i8eDyH4AEY3WmVKaCGMyYTqnqkG766gGU9EYuh4yjlHaEoeS63oQOA4c+/S4MHMMWp38uEf39PX+rpHdVvbdl/zdvj17O2x9CGTS7KfIGD+qNVlgF5MGlPda0dpokxmjlfroq964Z3jHIT6BnUPDr77wLyaGdvQr06+yPmV6/Y1MT2hMhVtbmcj5Bu+UnFROqod0m0w7DAHqNmk/qtdDuleZHjK9pGP3yRDiuKt2u05H7Pb1G+9YtfaAz6qVt0484mjfjmvYatb5QVVKo21mhzpbss93DV3NMNDQcDPunTbl4Cekd9qUKg67pziL8FjBh8s2H7HyN04Pxw3xlaSJ+ROPOLp1H0mzG1atHV53xxjb3bYYZ+uECbFHmfpGpkdp3yRsN5qE/o6v5b3rTjBWI2rVXcTwY70q82+rn6vsVWZicOc/PuW5u4YO1ah2z/YdH3nlGw2p3JjcZJkxRpnUYaaYd1F/eOPXRoA1xP03ddiN7Nn97kv+7hANf37tQxvd7utddtajQKvKWuvbI0EX50LoYC2K9041kZ2LXZME8eDtRoD8XEvAnLApiUUnEgJqIgTIlO4+K3/g40EE7gCQKd1jco2U9kFNZCcIEbQxejzcb26juJ5t8asxJBsZjjyai+MMKQ/69/PqNqxafeutt+6xnTr2rw74qj8e4YjjccnYMg1OEJFWHuL1vu27/vWv//5QrOl2Dg6/6snP6gzt7FNZL2W9yvRR1hugXPeQ7lG6TbqldIt0jn6AW2WkPCGQk/Yj3S1SrXgnR9VC1SIdFQs6LQ8e5Rmkw2796A4t8PZL/nbHgVywtdFPe95zpuZt2+UhFUtjz7dwMMcvnQdcVzlXuoj4Ev1JONmXu4Jd70B/ft+5KHme9w70Fxx/nf0qwo2scFc2blXUWVVRGVJ12X+G29S8/bTnPeeAhcLOoeG3XfI3SuCO8V2FWG9pG89b82bSbH1AbdQtDG9HRrWrmokETk4qV+l90S1SPXHl7ouD8sXQztc/9TmHgu/O2g++7LUjwzszrTPvlkYe1WOqXxJN1Verv3rjjE8cP4TIr24tx2655dYNq1b/fj5rPuG9ctaH+fnpBCfNySZIo+nBgKyBGx46kpGURtKeJQ4TBokWDr1WjarH5EY9WAgZfzyIwB0BWlkuADoACvkVkhrFezytwctFAWqgsPx2wzrHgWbvv88SvdxELIc1vHJVYavR0bFvfvVrd9+5aWx0dGx0dHx09HdRXzhrr/vkF0tb7XFFA8e7qp86uhVSIyGRvV1+AZ6o8UT8Pes33LXmfqzpdg4Ov/Ipz5oY3NGnsr5Y0PUo3Va6Wff5mwfxnHRGyqBqKjd85ZiRagUfj7AGeMudNukepVPx7lcOK9xhd8PerbuHh192wTMOaMa7dPnyc09/pPea78oPaeQHNeYVapCt2NXum8mCil3Bzmn6sz/904P0w40xf/anf+o0lY0lIfoUujJmrcTHsmV8OL8A+IWnkYMRPNPPO/1RS5cv3//htg8OveSJT981OHzryGDJzoZRneaGKbwROYbzmU6vP8M56hx1hv5NCW9Ecr3P0zuodDRBUl6uF6v4rDO48++f8uyd94fvd61Zf++6270pm1KqNlVvCGHruYD9zBgbcXe1qHGcbWHL6z75xd+FR66t7PjoqP/83nXnnVd89Wv79o0Wtiqd9fHuvjUSNu4BLmpMnzTgmjBEB2Y41JEaPMST8lUmeMM4yjzZq3U7+z2FUB7i8WDi3BGnLJzbf8ddO8b3GVKGnBHSQlowMcIB32Pz2u+MYvCSCKJ/hwjQv2eENTNjQbyllAAQoQJqKTVmq4Xtgbe/7g3tvKUQ586de/jhhy9ctOgpFz37+KVLfotETVWUV33/+1Zkv3judNSS+Xoys2lM6rV4RBiNTghJEYHjT771Pe/56ufuyzzEVvatl7x8fNv2qTrrJePBwsQLV6Xp36i0a0zyB/bfz3M7QRJ0wuTfEUISVMJKuPLZ4ATAgAoT05S0zyi4YXzP4YPu7y9+yf98+2uTTqw2+jXvftvPLrhhtOwoaca4+ltoTqAAxdw1/xMNC88QFuo7vRNsH3X6mcsPBLLNY/ny5Weectovb7heI5E4BtK+lYqkMPhJ1G9PjB6UyGvvn2k1q9X36ne/bf/Lxlb27y9+ye7B7ZvLfWXcl/Qp09uwvspJ5Q2pTGyiBrbdxKs9IY7vPDWCnsMp4+iawGEgK1b6TAKyZ3Dnuy75uw9+4/L7uradtZ9863uARYdivY5djFUGS5zeCnKGFI/TDBxuRtcBIMAY2yu/d9VzO//0G8qIJ53Y21at/ubnv7jl3s133XXX0NBQJTxRdBZmfftcaZ0r2FnhfbbsU2a6zjNUtSFBXT8liI+WwiJR4JBOe6jTPRZpRB0jBwyRQsq1GVg070FFyzyIwB0BelotEGjrbKwqNCnNrjGjhBpIQWK7SDfImTSrHQeyhRGp0VZlkLuLPRPOAko9b4akANeP7lCIZVUpxNE7RjdtvFMjXvGFLy05efmr3v22I4879rfSaGWRUS732KJr2r0L0CGURLXwLrZ3guCPbBRh115WiER499rb7ly97tiTlx7woe9cvXbbmg0DKuujrFeZrEZ2Uk29aYoKjuie0qn8CSQR8sJzCUBPgkqQOMiwa00xBfrVKqmER1zphMdcOeqqe27fUBYdbSYPFi1ZvvzCMx57w4033lOMCCWVcdAaKwnDmehfdDqroWfe1c+c4Grmwvmf/Pzn7nd8Rhvz35//3Lnnnbd3yxABMAqjKEQFoiRcJJPeLI4Q383GuJL5yNaUMx9xxpLly/Z/oLLo3H37BoM45ipfRbZiZ8LbGeaYJm7CPimIZFAZ72vfpAiiJXK6khvLcbz+45qnhLWgXxsQwCkZWrNh0+p1x55yX1fLurvW3NajDaYka/AhRc6FW9P0oR7TT1tLf9/fSacPAVhkhKvfysykN7fZdPuGD7/5HatvXdGpym6hFN9WdJJoymuZ9rliV9VRiEe2BuL65yXtyei7C+INKg3U7fwaIN6fTEM1M9ZjMhDpbbV+85f2WzweROAORsMR8/rb7S17dwZ5b5ehbpd4RteLKmnEjnCq1hl8ESkMSCJ7XEmAFhhANGHFUnmplschRBH0adECyMHSALksbv7VTS99yp/3ttrHLj7+7/75rccuO+k30Uf+6ppfjFcFNT6GdfATdgUA+hEeERBhFnLCJEyM3tvIB1gTonc7EREEZGu/9fkvvvKkE/ZfhJx1//GWd/YI9SnTp7K20s2LNfUwArI3UQIAPK/VMK5yjA6QQBzUCk4kDEMiBNLAd/BGNIqt8ChXCnFbNbqoo2+85hdnX/jEyRei0e/4n4896axzOoO7HCtGkPjOaCSHiIIhMbnbUCwZSCQfwenz537/6qsPUXg3Z+7cq6+++gnnnrd3cLsGMSAaSImH+C5TsIRfUa8ZwL2M7nIw0PO2//noAeuAG6/5RdUp7poY8b8Vhx4TDxM4lrypgIzaxwaykIpAT80tVwyim7zmCTshJeyYVYyscyDOFh/7p3d98Btf2F+0Zyv7rc9/kZ1DkwU7HQC/drvGsFh3GI6khmS942xkmfkDAQtx41Xnxp/+7OwnX/Brf46stRtWrvnIW965Yf1t452JTlUltwYfq5CUQiyQsrZbpFtxvdxrS43oUzM5LoTNzpz/TOmwuJJupsd0f8eg8mEylt1AuweOmAe/35y1gx8PoqcCiuyJC/pbPbnShbNhiocTgoeVsxvWQ0VPwByr9dQBzxEN0lTd4pRrKtxBW7ArhRGFAFnCgAOLE4gkD6B4BKuArVt10y2vevqzl5588sve+aajl574a1inOms3/+xX0yHbEYbIG8FPza00NrwPMXw+idGhI0AED+4gIkgIAn6mRkAAcGjz1rIo9keWO1et2bHmjmnK9CtftlN99ijcSZxMwIiak5Hm1e9EHKAVJBEbK3cUbA4Biq/4yW+jxIquhK1KAYQy1Nl37XXXPub88/Yvq2fMnf3tn/3oTx539l1btzAKEzlQJvyl6BknEdzjwEwiZDyyg9Gfu+zSeQ9kZGbevHmf+/xlT33ik6y1LhUQ4kW3/kTUfgzJmbZZs5fijpy/8Iqf/njGgaR+tqp+cd21w52xNGTUlxh2VB7Z88asvL9TJ1JR4mTCP6OmwFfuREFMBVDXDUmyKVrYu2UpZkL0Ff3ONRvvWrX26P2K97IoBjdv9e8hMzvnRAQRwzCwS/ju58Uadl317E+XTjzlZnhT/OmQbfn5ze6Jj//1PkQbV639xFvfs+rWWztlmd5x1+Dlgudrw9NNRDIkb9HTQ1pjTZcLSCm823ZqtUWkcE2DCktfzf4oT2SIjFLT2n397V574gKtHkRdzAcTuAPoI+f1n3TUjD07i722dNag0mhVDevUFL+HFnZQnlIlLvn9a6SZpt1DWvzYHtS6upboinivK4IfFgoKRj6HY+VOAiyCdb+5LFf+6uZ//LOLTn7kmW+57L8e6KVZFeU999wz4kpv+B7hu6GubaB8mO4TdoDITIjISOAQARyACCtBDhMlll3cFx9gv+us/epll2cM/VnWp7KcVNgSNSBeEQW2vVkAYqxSY3aVE1be1pg97Q6WI5aEUt1zN9BQpqs21TYdu2zH3xnZO1IUxQE5k9lz5152+ReeecGThzujjsWhOFQORWGwgsSGXBTCwH39EKW4C0991LL7o9r3P5YtX37WqWdc9cufZc2rSzg6lAHUcYzellZS31VE5rUHLv3C5XPvI0OxKIp9e0fSFdhDpu1FSt4+CLtcUJoTqgnWdeMt0z6dKiZVUWPXFXvyEjTvIhbZCStfuYNDhj5lnPBYWX3t81947dITDzBxI6GGtc4BAElwX/CjuT7jLFgvMNctykksdpQjcyxcPE03Ifbue+6uivKBfoKcte95wd/cct31o8VE4Wofm9rHG8RGZE+ed+C97FFNUXlGYR01RNF8jQBgqsrvKHZHt3dftoNp1ubdmN78p0HKSbe06ctbAycdpY/8fQRSHvrx4AJ3UGSf+Ri89lctZUplC7aGlWGX2INuCr7rn1WgzBAJTmzPyJBisRmslBL0M8j8rPf2id1jXKHUwUkKULzdCIAACqD4rHUCABC2VBQrf3njxlXrjrsPvvI+DxF/KagYOsExcjdBfKwasHF1Mgs65mQa7pkBJez5GfZKQedYeO3NK/Z/2LJTbLr+1lmmxyN7FqSNKoKF0lSX7dTFt0eZThj6FyXEwlaQAK0gMiIheHcAwFiq++FzEAaHokE0Upu0/xCOofLF+949ew5yqpYsX/bEMx593U2/UizrJ3Y5FBfPGyIEt9+ouvNvrh827sny80595Ic/9+lfw3NYG/Pvl376r59/8bU33zRWFqktoQQnN7olcEGVcCFucXs6ED3qtNOXLFt2kL+/d88eC2yBGSQRMolSPwCyR1rSIOlEUVK9Htd8WnwHm8R7XJhZE1tmjWwlmAMIQJ+WWSCbrr+17HTafZPdzdbesiIXcc5VgCyiIvMerBdccHrwIwUp/abLS70masKFDeK9XQkAld9dP8Bj4+p1t/7y+vGikyRVzcEI18XGhK/++bRIHdOexjE3LYkIVGN2b0Bn1+8brLrLdn0gTiaRmUGBqrRPdAIi+8zHZA+msh0edOAO0D5m4bQTj+rcsq5wNne2IGfIZUyFlyIhhyoeuk63v2OFW0iP6V9gkPwnsFZTJBdZACc8wXamaWtL3vGq8pR9YOEjc4wAIBY4eFMQTDiLZedfXvSKD135fw9s1g5xb4x+9nVWM691v+ynoPlxKCgc5u9TH5/JEXkg5miLyCwcR+e7HhYAd4/2qyxYLdaueKRJ+RrQW5JREt7HI7ExLKJEmNkJkbAFh+I/8eFshdZnpNqFgVEckgNxSA6pTcaK9FC115VWWMHBFAXa6H+/4kvrVq766FveVdx0Yy+oNeM7fTMwzQRABHdfrU/Je8455bQ3vPddD8iDcNIxZ97cL1/57RUrVvzLG/7pult+NVJM+HEhaHALCdytyAnt6QXKGaef/jfv+qfF9+d/qYH8ZFacUdJpm29CU64B8cEfVBmq8b0u3qkL34kaK1+DlgmLELNFtuTtizHFHjklI7tHDyjt8Ex6xc7fd0iAtW9adF8IlXsXM9N9Jbsa7sHbfgTKe8sQPEBJya6h4fe+6BXjRdFhG9SoYSo4IXtdxvlPvRX2zkjTdG6Fe8mYhgm+ao7RIPWA/pMpi36w5+5SLALuj+ymm3/371FOOle6pUxv1pp+4lHtYxb+ehfe7+540IE7KjXtRU/Z/uoNmdKZ0pmzwf2VnSGyTAbJIlVERqhCMhi+WqQc1ROnHq6RUtcrTmNHBSt63xLQSDmqqTofdZUWVwp32NbdQCQR9lNDBIQoCILCAoIOBocG//HC53zgyv+bOnvmob+u0a3DnvLz10cl7En2/VP9GJiBHAiKOBBkAWJf/3gunoRDIR9sV50TPuqUU2A/Zmbfjl1Tdd4jmGA9J5WpECStiQjJDxw2OXdIE1RxmtcxOyQlbDkQ3wiIDEDo7USCJglD58ChaCQTwd2itEm3lR5xpQXesnnL/VyURi897ZSPfPP/1q5c9T9v/ZeRG6+dgdnmch8LjHHl+e5eMouy/kHpnHfaI1/x7rcu+w1yoBqPa047/fQvXvnNlStW/Meb3/Wjm345D1v3lvusBK6jX2ctVDNNe4/Yxz7izBe+840nHJqt8ZbNm/32ZarK22RMoNSbX8kQNWr2MOoRyvZEpnkP9ya+U3O2KKY5J40TiWaumJptfP/mTtNqdPvOVm9P9zOVo09eevcvb6mcFe+ug5TMjphj/S5sY24lN3MRGrcm3HvENFEV/oDelN3D29/w5OcMDQ11nPXzASkjkyGatu8H8YTYQt2vjEmaIkTT0K175wCKEA8AT51+1Dd331kxe/j2tsDhfnry8fv+c+Qr90ybaS96Cj7IJpjgQQjuANBz7KIZS46tbl3bsZWXkRpWBpVGZ5AsKo1ikG0D2SukPpU9YcrhBkkaYlUn4jBu2VCcMIA4YO+ZDgygoGAitoJS+GoDSMDnMxCCEEhgHwAQqGI3ATC2d+S/XvWm11/2sUOkDhFgwaLDtq5bZWJvp3DOgajkBwJe3iMusJMCIFGDknCTBAVRKFIT3pLQz9TMWDgv228a854bVvRUkKZdclKZ0plSGWmjlCaVyvbGQHkSQTayMtCXbFGbwa6h+IkkO/m4InAoBsURORYdZNpikfy8ZUccwyHtyrXRy0475YPfuHztypXXfumbG+++S0BuufZ6EVn+6DMF5PBFh53z3D9bunz5b9c3Qhtz6umnf+rbX121YsVPvvC1u++9hwBvvfZ6Ajz1MY9EgKOPOOKRz3raicuWHfrj+loyR9VONTvVkFGrHkllNbLHyt3PyKCKRqEB4hUFfCdPzjR4mVrAKuKYydU7njR+1Gvd5htXzjxiUfN55q3W9IXz7uBfQdi6KQL2lbs3QPZ/0IuFnDSKd+ADlSkBeduk0xrWQ/rQ63Zn7Sde/ZaxvfsmXFTFTML0mLSTIjOdsELM0RNfSiMRAov49c8je820RH4GAdqgnz3j+Ct2byQAE9oeFO05vfdymulT3gA5V6Y3a89aemzPsYsO+TX9/o4HI7ijUrNe8tSR197ZsVXpbOGsQWuItPiyly2ijbBukCpU/QrPHliUk4J4ZXfDOqZURgHWQIwQfphBKDIkLFWQvRIAeDYEAVAAwRPMQihWZNvontFrr7tj1drjT1l2SK8IYO6iBe3b1xmrclI5qxxVJeyQCVDVsC4IzEIOBIFdbUSNAN5cnAhDbwog2GZZYSE4//zzJ5WubN2mDXcAszahbM+Uzv1+SGmjlA6b+q48aIgtOYlmthxtux2yZUZwkDIkOTUk/HIkjOyQHIoW0igGyaFYb2VMukfp0ao6RHAPF6jRy0479aTly8qinGSS/js1etNGn3L6aUuXL2+EhfrXjFmePeB+IIAT6dOmTTrhS4NV71JiBNyniPKkPI1mSNVG0BQ7q2H7RQ3avWGAJex8T75hGOA/HVjBpg13LLW2+VqU1uc/4QnXf/XbpXOejvN8XXJwirbGDbIbuAtqG+7Hvo4mRD8x692H5i1acOjgfseqtb+89rrRYsJxTRJ2bRSgSy3DIggY1UfhrMYZDq/YoVhwNBhdCLRkG/BZ04//3t5NBGiCJafKutdgP4WQk+7Rpi9r9bXaM178tAdh2Q4PTnAHgNYxC6eedHRx6/rCVoWzJduia6Apkhu+YY3qlL65U3SersK0kltAh+IEY+kN4C9TBAHlCQQGYVR+gAUArDAio5AD8IAeaBlgBFS+SEEcLzvvu+QV//q9rx4KOYOILdLeyGnE6RZxKa5wzomoGtb9QwQJexj3DA1eFPHOopJcxiS2Oq2wabWOWHzcpAetigLHij6VaaQs7SI9uGttKKQaJdq9S0sXoaEL2ZEJHdaZ0H7J8U/dTwiTQ2VQHIohcux7oRxMU4HaZFpU3rb+tgfaUFNat3/Hoc8HPLTRv/n6IQC3rVtHiB7ZVTSi6iZzVfflrQLKe4FTcDNVWoX7ipSOb58K3BrVDgHdBsXxzfVPRli4Yu5RGscKu59w5YjjjwWjq6ojKNwE9zi9xY0ceQ4K1wYDHhA/QTD3kPHGOC1Sfcq0yBziGOfuoe3vf9Erx8tON4g3eJhGR83FAPEQdRJ3qyac2MknPK2siajxzGSL1NkDC2/YN5Rh5GSovmmijHRbmV6T9WZ5f6s9/aRjWscs+P1fmYdyPEjBHZWa+4/Pn3j5+0tnOz47jV0pjn09juJQLEkGYoF7lZmX9WWoIOhhQt/coZ+lZJv8LnzzL0boGlQR3EVIMYivQJ0woiCgdwyOqwIRsB/hIWEC3DI0+J9/949vuvwT91vHqSxbvPSkm3/686FqvEWqFJWLbokrmS0EQjTtD+KIJ4uQAAsgCQkyAaJgGoOSSMtUwtNmzpi+n4c4AuC+idSI8zFymda5MpnWuoEOXnER5XRxD94gWB2zc46QbSrwAQFslDOHfQ+HgSPSKA5IoyRnY69PaJPuIcMPognt39PBGEx9k+hLQaBiJqnrkpg9OCwlfFexclexflcB5ZvbL/9wYePlUzXYKQ/ucQLTMitymglHO7hfc3v67Fl9M2cM3XWPoDgUryWL9FvX0EOaDa4tPKGWHftQYo0UDERRK6ABnS9eukRl2f2eMWftx175xq1Dg00HY04bhS4JXFhvGCRH5WnPvGvKlxoQj2nutKlojI4OiIDzqX9WsbdgzpN1D6oMlWfVeki3tenRWX/enjJ1yqzXP/fBWbbDgxbcAUDPGDjyY/9gX/be0lYdWxVOF2QrdrFHRxmSQ2LUS3tn9qvMD2gwiBOKw+hI4JE9Ve3AEBJ6QuuPKEzWszAqIRCWCWEWQfCNS3QSKmsHQsCESCIEzEI33XDjoZAzpNX0c08b+GSrpzC9ZGxU75VQ+ooj7g88Y0GNuSAUIBUgvqEFxCCKd8Il82GLj8kOZH+4Z+PdcaevTKjcTa4juKu69EOqfdJrQxuP7I4tOuupdpes1EVEhd06CmP4qlEckkZ2QBo5ugAFu2YCzFEdeewxf+iL6/d9HHncsRtWrPI1e7I1TYPWTYOBpp5dhwFI8sju2yQ+3DWiPKXtVxSzxpZJXJstk99v+VEIJ5wklXvuuHv/p5rl+WGLj7nnzk1MouP4WJCaJXzvBvdmfGuXjkXEmxgHc0plppp8+rmnHkqK9MZVa391w43caJY2CJmoZ4/f96ymF7Fkk9rUXcjePSXT4MR0CEQjhZiJOrVv7q37hnNUyR7VA32LdEuZtjZT2j0zps9Y9JG/VzOm3O9r+UMdD15wBwA9c8oxn3yDeuen3KrbeN+eDtuCnAOxIg7FolgUIJiX92ao/ZXn13Mb/a28IjtFKIbZCgyXqUMxoASBQTECEzCLQ2VRKnEI4gQQBBEcCApbrMt2QnEgRVX+z9vf+56vXnq/xfvcE48784wzdlzzk3EO7iJWcSU8zpWLOwoAb40TmrqCJAIELIAIQYwfnN8DsosVdor+6pV/uz97MDa8a2LHHhNbcJpUpnSuTa5NHQCtas1MsHKVqJMJdR87cn4VpUjJ1L6AICyKQZR4VxZhFE2igRxL7ejZCAPJSc1bMB9+q4d3Gml+5wHR8b/hrx/KMW/B/HtXrpukwPO3psGAijNKMVLGd1Nj5e47JeTzu0MJHwJcMG2/guY3QKFjxeR75t4IxvjZbySN1NmxZ2z7zqy3S8Onjf6rV/7tT773Q3HOO+2QYD2gK7UOLYJ7l2tbzC1hK9Im7S1I+8j0KjPb9Jx55iPnnnD/KaPO2k+//X1lVdb0PXRpcpJcIkG8QgzxAzQJ2T2IB259ErWrk8dDmiFAIoR51Ld+fFdaLRLP01ZmSqtndv/U+csWL3rzC/WDGNnhQQ7uAGBmTDn2Q68+uqz23Hnvje//1B23ruFiPAQhQpjk7tUtVftpUIB1Djw7RCG29xf01DCDCITgGInMjNdlG6/R9sU7eo07EAijn3RHAiFgJcjCLHTbytUbV6097hCK90d98B9ufOIK2C13yB4LnHxXrNRdUwCQZIEAIIAEyBDTD6QeREzGhMcuP/GEZUsO8JDoJ0fQDyuF4l3rTGujtUcKRUorFcA9eBukTX3QMluPDo7SBqi2IwbvsUdMwiIKmWNaTQVcRzsFZA/mjg+ooXqQw4PyLT+79ic/+OHOLYPD927ZtX3H9Nmz5i6cP33B3D9//vOOXnLiwTHaVvaO1Wu+etnlu7YMDt27def24RmzZs1etGDGgrnnnP/4U8569G8L5b3Quw6JBB+Lmur3BrI3xlD9kuxx3L9fRul0Ryd8p3jEETlJAlZy1oV+uQhYdlopbYOY0t4H+X3CsiVHLlm84ZZVjJIiEyC5yDVscieZutjo8+GAFWJfIy3ksHxgzrQZj/zg6+gQzufGVWs3rFzd1bmNxHqaDmno6AUAJlutNe29usdiVGRm6gI/Kk39ySdEQ3qmbpdio/eyzklPyXuOOXnpqa/7qylHLaTMPHiyUu/reLCDOwCgVkqrGUuOfcL/vOfktXf8+D0fu3PlGqlEQFBgaf+cXmUktVb8FCUjEqJEFTbEoPvAxkSTkC5YFwPCSJ6rsaA6bFHAQYB4j0pWmBAIMF3WZVV99h3vf9dXPnu/xXtrxtRnfep9//bMl/SpzAr7yt0q3muLSrg5HAvQBe7UqNxjaAf4WmnKvDkfu+wzB5R479s6DL5x5wncCA2ZD3JK6BDAnbrBPWSTOj80lZh2AGg4yrKIYlJESkQRKyFGUdEutTscEdP03pSpU3/DS8JW9vZVqz/17x9Z8/PrqXLg2O8/MoCxewc33LPNCV/31e8sPOm457/i5Sfvh9FpVbjsP/5r85rbhIOpVgawb/Pg3nu3rmP++Ve+JUad+NgzX/yqvzvuNzZ/9i8ZERItQ8G5OjjiUcNaw8sc/ZKsGzqZ8PapsDZrpYzylbsKXXGiqCnw6bJsXcxNAhRh41Tda0EEgJGtw1OPmDx9o4352GWf+bPzL9y7bcgzMzFpoBvcw7hQV+Xud5MCMEUHZO9TZkBlTPgXn3pva8b9v/XO2s+98wNlVdWYHoUDUTsPCdYjIaNMowzvUiJNrtaxtuuJqiQT9aYavcwUEfHUKXNXjgyFlAKTH7n8xMe98a9nnXDMoXBKD5LjIQDu6SCt5i47/tmf/9C2NRuu/e/L117zy3FXzW33AYQJOidsGUnQQkB2JACOIjCMfs0Y47UirDsQh+wAvYzPgPJT71bYu0sGz1tADmNQrBCdoBNyzJvW314WxaHIORYtOf6kk5etuukW3/utvJ2Z4nG2VjgBup/9jBOgweo29cswdlOnzpvztR98d879mGR147uuASLTWivtoQEp2P2mXT0LO0eWuZ6RgYYxMQVSnolYyIUSj51PfI1mZCloO3nnCgDhbzSlPbxt8HUvfOk9q9cZweCmYIyKew8CBERmrthtW73hvS9/jdNqyWPP/If3vmvm3DkAsH3b4Aff8NZVv/ilqphYcqW0zpR/ghKZB5/UUbjVP/jZ3159zWEnLf7AZz85e96vn+8cpCyAANBNyySUbxTyVPdUdWyieiomvXFGaa3DsIJnZgAJKPaWRMA7hZHPVPe1vDbKN9JJ+cnb+95BzZk372s/vPJPH/+k3VsHVXNuuWGNmWRpvlRPshkECDlfKpui82m6NU3nS05etmjJ8Ydyrsqi2LT+tii8SSF5tY5eGhDvCZn9JgYmS2Imda1rNWSYJwiSUx0hHpHmtc3ddrSlshMed+aZL3nO3BOPoT+EXus3OR5iTxcASOsFy0/48w+/7YLdI+t+et2eD3+ZmQXEsVhxhEzsvLAEICRnh5oduyp3BuEwIi8O2CG5KMWJo5XKFwsUHWAYxNtSu6ZrDVBZFPfevvF+mRkAUFo/5yPv2vG0S2T7cMqyccIIMMGuEifeAhgDxKtEsnt8h9rudvq8uV/74ZUHQfbtt22yRQFgCDH031ToowaA0MYojUoBERBBrZURFFHMioicqzf7cazdb5a1MJNywiSk0hoQMB18ze49gal79z9z6tSDpN8d/BjeNvhXT3rGvm3DbWX8qG2mtI6cRJjJIhQB62xpbelsUdhffe/HL1rxp+/+9EcB4E0vevnoth09OjNKZybwG56STna1LGxYFWjJIbG769Y1l1z4jM989xuzfi18z/N8pq/coy0vAamarULqupFC9D1S3eiXhLdPR2ZG1/U7UOMdTG8iMzFn0UbUk2x+o6ZI+R6pLTo7btt02KNPPeDTnjN37td+8N1nPP6CnVsHYxc9fE0G7l1qGRAnbFC1SfUqM0Vn03Vrum5N0/mCWXOe/Z/vOsThgHtvv7PslF3Cx2ZMZoOZSYRM1tU4PfDNHBjfu7ZHxverI8H19Hf8/eKzH9We2v+Qg3V/PCSfNACQ1n3Tp/bcete40kDCIo5YefdE8B3Q8JNRDFP3URlFgFg8IYMO0Xn+PbI0DKGt6n0CEifDEop3roekhEVKa7/5ic++5iPvP5TLd2DurFd86zMff+olU3bvlk6YK1GOMrQTbCfYliAKhKOruJe213IfAQGYO3/+FVd/7+CW5cNbtrqykkwDQKrcA0Z4ikZrVBq0TklH8QF8MiEDk67nXxqxUMSO2JFSxIpr0+D4FaIdm0eurjpdG33ScSeYX8sqICF7jzLGj9oqnSnjMauVZT2tdqco/JbCslZUKUuERABjgzte+pRnCkCPUK/JcmWyyFAl2UmWZWVZFlVpmZ1zPlAKHSLAvm3b/+pJz/jMVVfMmjvngT5tY8xJxy02RgNDCM4FqAPfYwyW9+9Ndo+BpSGlFenoGFHDujaZ1kopUBr88rxf5Q7OAYCW4EHk2KUZV7+SVZUd2rL1IM987rx5V1z9vSefe/7Qtq1xuiJeInFUMLHtCqlPZW1SLdQDyiN7fnjeP33a9Bd/89MDcw7Jq8NZ+81PfKa0VXQ1CKNJDdUjNO0nTa14UQcp27tGlhpRGzoqTcPQqV84vfgIsOfWu3ue/sQHP7d+X8dDFdwBgIty7Jbb29r4Uss6jmJthxhTfMjTjyAI7PWOsY+qkBSIFnEoAegjS2OBfb+l8uAusWbHOuzJCTtBGwyyecU11x4iMwMA/XNmvuybn/7M017idgt0giFqRipjlbHqsJ1g60T8wEuq2ZM79rwFC7519ffvN4zilKedf/v/XQXxAxnJ1jDiqFVE9hodACBRtuydBABRATYC/9iFop4VcRBpcLIewzhjVXMyzackIHme/3pJZMPbBl9wwdPGBnfkcfucwM63iHOTEVJPq+2cs+yUs1D7KOiWCDgRgJy08YITrTNtMmNMqIhN4KcJrXUV2WZrIRMe2Tb8gic+7dLvffPXwHdEzPMWTpTNVI3oyU4IXcV7je9eqBoq9xCZm2QzKrx9CkLxjjX75dfm4I0sip1vuvqy3QZrW0GlTnna+Qd/5nPmzv3Oj35w/rnnbdu6FcKwSOiveg8+53kYMjGMV7VJT1H5dN0+PB+YN33mxd/8ZN+hITsAlEWx4ppru81qmNPMLXRBPIQMazKTI5MOeMMD1vI60DIq657vQ8TxFRu4rNRDFtwfXB6VD+iwu/flxrRM1jJZrrNc60yZTOtM6cyXOaQ0+htNkiIc8M2OWijUIfUpcHnxkoIYVy1RMhwvPmFbVps33HnoT35g7qwXf/d/LnjsOcdMmb2wPXBce9pUlU9V+bTAUbZapKxIwa4Q6+F+gq3TdMrpp1919Q/nHAI/cPevVnZcVTgbTQ1FBWF7aMKBr/t0uhnQpr6foF8rrXXa0Wui7sHI7ptP/kNABIIDoHgFctpjHvlA3+vhwcHnPfGpe7YNJ7Y6Sby1IqWUj3JGBCJU6amqhiqcohzCl2xJTRh3M56zV0SZNlqHE+WL+nRt7N029LwnPGV4cPCBPv/THvNIG/eSDWNlf9L8Ap72PRSZmeYrTU/GkzNaH+BdM6A1KFO/px70lR90Ukku6TPLCrYdV939q5X3++TnzJv7vR9d/YhHnO40TbAd56rDtsOuYCsAPUpP161pkYGZpltHtqYc1jNw/JTZTz77vBd+59OHjuwAsHnDnVVZuRghYGPgQVfZHlG+O6mKJvk6dH+uGx92qqHAs+1ZRHbfjsq1aRnTMqalM7tn3wN9rx88x0O4cp9YvbElSCZjAOdc5QlfF7Ql/mfqYKMwpiQ+1NyX6gzikDSIQ1HAClELehdDLZxCearIvHvz3S5T0zjQoZW+8t8/fdR/f/DQXUd6Z05/3Cff/uiq2nz7xi+//UPFLTdpxu12fIJdhz2guw7buVnvMHcG8vYpS5e96t1vW758+aFwGtu2bnv1xz54XpnP6Gn5z4fCyEoTKU/RBnxXsXJvpGIz++insC6wKMW+YCdyQVidvIKxLtgjg7R/YB8AgA+4mDl7sltyUpqn39g1vB0A1t5wE4vs2bPnvz72sb3bhnuUiUrk5HdGCOE5xJTm8NiYCuG0GjERSMNvy4NdzDKCsMfxzz/5qXkSX3FwmNqxdfBZT3jyy1/+8ilTpxLgSWeeBgLT58yK1xvAgWTyM2fProRJanxv3MJGZ1L9Hp4eEYUSPixXHuJB6XDTHsFV/DN+78UACMq/j96aIPirWOc8PpbCe4rxV3/sA1+74Kx58+8nZWLe/HlXXHXlihUrPvLmd92yasVI2ZmD+WA17ut0LxacqrJ+lTmCU0459c/f9toFxx2tjTkU4WM6nLVX/vunM6Ub5uzsAT3lOiVPwOTN24juOWDF1pXz0xgADjx7wvRQF2qTa22UJkQW7KzelM+fdegv4UF1PFTBXawbu2l9TkZpEpGKwmA8NWawa2tDEm+smFh1z8koEY3iBDWiE29xJQpYI1okBeKdhG1k3uO0fZzi8TLKMC3i7l6zbvP6Ow5fsvjQXwUZnRl91MlLXveV/75z1dob/+/bQ5u3VMJb7r138z2bB+bPnrZw7tyFC89/7p8ft/j4PG8doiCvqqoXXfT8TbdvuLo15dmmZ1rWw1HiCKGypsjS+psCRaFx63+s2ZoTBkXERE1YRAwkRmTrmxDvP4eNpFOAgOy85LRTmxoNL2q86opvVfvG1994s0Hau30X+ZoWkEUq5/aMj7SERjE0ITEZp9UulmlLxRBIJI5QHWzqfUUsIDV9FN0WIBolJh4mJFvVjwHxL7BCzHaOfuLd75/aO2BIESJIUAdOmT3DMi8+4xTT33vB0586SUC57PRTVl/zSxfwvWvd8+edGusiNvur1LwpRYRdq7JnZppdEwD2vqLx/cVaIlmx88P6pXM/Htl81/DeF130/Cu+d+X9VgzGmNNPP/1T3/5qUXRuX3/bj77wtaHNW/ZsHdy7ZXjRYYvmL1qQoZq9cP6pf/GUI5ee8Guk6AHA5vV33L1mnXXW74aTJEYm1+zgnQZMimObHKaBTVhv8jBNLj5ZO8Tmjc60ifhuiMgxj9+0fuBPTnvQGgwc/HjIgntl7b072lmmSImIshSRvQ4lYKnH2MLnNrVMURjQhYkbcSAqwroTsigaPaUednClsB8hbSQooWdmfPy71tpae+NVVy9cfMyvcWUrrY89ZdlRS0+sihIaKfLwa01Lrlix4oZbb8kRt1fjd3b2zm71TVRFYVsBtiSK6QkjuEeg9w8rUvfl0n+NYB6kjk2InORqEprEdUsbfFK2cMlu3sIFXipjq2r9qtUfeuPb716zTjGkvpZWymdQeGESCs8wPZVzs7KecVclVIwD8V4JwozsGlw+hwTnmkYDnxOVzBFriwVhZPCzYzH/pP5lvx6mEwY43bTbyhhSqnKEQuSFTeKEd9+ztWL30033VOK+/enLDj/phNf9y9uPX7pEG5Pl+dyFC2+J4UH+SSJM3tv4E1nrjrp3DxQhHpo3RaBockscktOd/4awP0/Cmqhjq3Fb3jmxZ0c1rpBuuPWWFStWnH766YdyaWmjtelLfplJm+v/Zx64X2Y6nLU3XnW1s86YzPdHXGPFnsS2q8llew3ifoZOA6rg6NuQukeGzaQBMQoC00yHmj1TpmWy3BhCcszFvdultNj+/+D++z0UYivLNSn2sXM1uCc/dz/1wCJKUMJcK4tCD+W+bBeFqAQVohJSKApZC1okhaKB4xWD8aOOfqJVxULeRTsY69w96zf8GvmQ9SvS+tf+3XTYqnrXG97sqorIIMDq8R0n9s6Y3dNvmT2WeVBTMaU7FOlJ5+6L9zAVy6k5Cg3GoFn5NsmXOrEoVsIQ/UxK4VKcU/SCF15sjBkaHPzriy7etub2llDmU6LCxGyt/PMEsU9krpxVRFRR6ewkaHbMhAzoBMS72/r/6s3OfM5nV16ydHteogMEkjD7G3/RSwc9xnPKuW0r0zYmVyaYNxD5Fxoyo5HDzsZhxW7TitUvfvKfzT3puI9//nNz5s59/sUv+O4Xv1KJ8/raeMbqW/OI9TsQIk5mwOJMm1+bo9AmSGWCoqUpm/EeYsEArlNVJdu9VWftxE5PBHFVvvMNb/rald95QGknvxW/zOZRFeU96zdY53yJ4RrZwiz1Qus/dJO8HmP9fj891brj0pjZNjXVHmr23GQtkykiy66kh7DL3UMY3BHRr7csgg3cqdkYFkfRPU58zrLo4DkeAF0j+bJdAztEF2HdU/AkpIB9FRADuCWGaIebEwYAg6qylpn/0GcFVq5Y8atbblZxnRsqxzZO7Jnd6pvR0+9Ry7FjZtUYCgm1XlNFj/GfifpIXpB1me4PkRoz4536cwgcsqR5xJaLlp9w0vJl1tqXXnTx1hXrepQJEVEquGIpIq1UO8szbTySMXPlbGkrr84er9Cyi3syJnbkEMGJiJBC4mT7zMzWuYTvTb6Fo+4b0fkXgFSHW7GwSzHQMSNUQDJSbZO1TWbijKgiCoyTtZ2qIGZiF+ZBHQCAsN28Yt1LL7r4q1d958TlyxYtXbz11nUDKvcsXzqB8f+6/OoDRVO3MrpaG/HNqt+U+s2CKGZhL3lyzjnr2Dq27AixU1UbJ/YMV+MAQAAK6Ve33LJyxYpTD614/90d/r02pCT693bZjkZmBgA01iGoybmhQcUEU7bm10mWMnEAWCXNlYf13GS5Ma0sU0RFVR2gcfTQOR6qahnMdHvJUVppneVZluUma2V5K8tbWdbSWaaNCd0nSvPWqW9eD3n7f/rrAxrfiabbYYAQSSNGS+uua84jRaZU5Vzl7ND9Bcj9rg9b2Z998YrDVa/Xa3rY/unee/eUnbGyY5m9o4BlB+zAufD555BjDAANZIaIz/6Q8CXUwPXdQPTUxiORvwLwkXiekCkU/MPf/73Wev3KVYNrbm+RNtFEJar9VG6yvlbPlN6+3na7nbcyYzJjMm1yneXGtE3WYzJDKjmV+9dSOevPf2VtaW2Vbs5Zv55J2sYJcyhj056gdFVlbWWrePN/zVm/MLC3CMW2yVr+yRjTMlmemTzLelutvnZ7al9/f7u3ZbI4Aqo8dmSoWqSH1ty+fuUqrfVrX/PaUqEv3q0wd1XugTtKvZF0S+jSTeNg978TB5ZmFDi8xc5Z56yz/vWOlp29ZefnI1s40HNAgEeovp998Qpb2T/s1Tu0eUtlrXUuU4bjhimdpVSM1BaPEI0eIU78Qvia+JnGhz3+cAqkjY6bmdK59hiStbIsN5nOMsxyrVTrpCMxe6hWwA9ZcFdq2gWPVEZDloHJsixrZVkrLrzJ+1BH6Z6OzUDdheD1zHf9zyasRycQvzBwA/HqGwAgenxxHH7kD3WURTHhqruKEU7IC9Jhd8XODXs746WtKmcr/zm34ZMPzgEnlI9tY47OYPU/G0NMDUUo7/fNNCDuhCtxlbiS3eZy35FLTnjsuecMDw697oUvRSeRaojvRRyzQkTHLABE6FWbRicbHO1/Jk7leGT3N1vaqrRVZcOd0lnrEr67GPgpzqeKN383/EqYaC1tPEXsLHu/FM686W4UyGsdZsEUKUQSYUWUxZHRGG0aXho6ed0LXzo8OPSYc89esPT4bdVYje/pvDVRPu6EwoLp39r4M8kCIvFfjbeJu2DdOnDOOVuFW1VU1Z6JsW/t2liIi39UGOSuYu+EqyZZY/6eDx/n7ddaIhIv1t+vlpJQtlPjsxnvNJiZ7g91QwlNEd+jXU9crb2oOm+ZLMsyMBkYQ1pPv+CRD9FuKjx0wR0A8LDZeMRc0BpMBlmusizPPLhnmQ7CJkM6+C7F7ZhKG7qQI5G+NocqwzUR74QyoUE41CNFCKiAwueH3R/2nAjIz37+sxFXJpD1z3NzZ9+6fdvHis5EWXbKsqiqylVgbbg5G1GewRf1TbgPYWohuIPrKthXtZHGr0d+OLq/csVcMg9X49MOW/AfH/nPezbd9ezHP2n7tsFkFdnsxybHS9/988/d16apl5i06j4Z3GO0dXW17vE9Vu7Wsqs8wcLMtRttQvbGL7rKQ3yEQhtWBWbCaJvuNeNRLxT5KfFLEYY+cOo6Ry9MxB3bhp59/oV337npYx/5yJSF84ariSqeopRLV6+f8T43FV8+DoVZfGGeWBdmcP4W3z7n39bK30pri6qaKMvxohgrJtaN7thS7Iv+ML4uln2u/NnPf/aHrUsAoIqbMIosYVq/OH710yeRisFYrSeIp1SiNcp2bDZU6wgUpUwSyZjAyegs98gO2sARc+Cw2b/xy/qDHQ9hcAdF9JfnQijeDZiMTJYbk2mTaZNcbY1SyaAj+u01ivc0Ag7Ncr6GdWrU8ml7mEp2ABCQjKhiZ52r2P1hPyCIeM+WLdEVvrbgcMJXbN+wY2J0vCzGy2K86EwURacqoKrAVlBZqCpwFpwFGyq+SbjvIn/tKXsXDd+D7buENFcP6DW4C++ynd5Fcy/7wuUicsmznzfskR2T8q/rEB8VG92Gk2ql7hJSyH31NXVX5d59qyJ8W1+nN6IeLPuqvOsXqwjrpSd5whvKVjhJVrBBhjRDSkOnOq6m4b3wb0jseG7fuu1Fz34eCHzmC5/vWzh3l+1UaaUJ601aO+udUE0lhXWUnV93XWPj5d+48PZZsBaqyt86RTHemRgrJsaLzlhZbJ8Y/faOO5IJV90pAbh7y+Y/5IULAAIVO/+uxUg0iFLcunIPPqMQ8b2uvahrF+6pdkhzi8mOLdXsCdl1Hgh3o43xSAJZDlrRX54L6iGMkA/hpw4AMH86LJgZ3gyTgTZKmyza5sVwg2ZsfBPZKdk21YRM458J1j0SUfTW2F/e4OGjYjd93gMeTP/tHtuHhg1STqqb+xYHMsbV/2y+dbzqjJed8aIz1pkY73Q6nQkoCqhKsAEOQsVXNep6a8W6QFM45xzbAL4uhfBZdpU4y+wJhyredttOe+HsL171rUWHH/be9/zL8NatCuops2YnUZJ8Rdixp4nDg0agF4+fqTT259zX5hEXIvnO4Wso7cW5rqggnvy7zpXhFgl3dpVvToQc0YbBDgdSyHlePix76Tmy1BdI2Hx4m+jhbdv++Z//edHhh3/+yit6Fs7ZbTve/TyW8PFO2mcwJ1j3J9zLciSsuLb5HjUwvYSqhKKY6EyMdSZGi4mxTmes7IxXnUu3rBx3lUtrRpzCy1EZoB3D2/+wV+/0eXP8mVe4/y45kO/+cxomAJK/Zn2nwbw3SZvmcHKMojWkjFaZNsaXgx7ZsywUiwtnwPzpf9gT8hseD9VeQTgUwZ8sgy/fUBvuCRvnjLPGaq2sVko75YgtsWKuTVajz2riYXycGElwMSRpzOZIPT0YyFCscWlu3meFUQABp8+fZ35dv8PfynHzL64jyzmqgh1jMGUlEAJxIHdP7L1tZMfigVnQEJmxcJsZnQNjQGmApreMA2fFuipyHdZZX/O6iJsBSdlVzJX4rx46ebctWgtnfeybX5oxe9bo6OgvfnpN0yGyZvChrk8dMjmvYBFiPyEELMLsXJy+8cUxAZTC4qNma4EmxD8ODZooGo57LZP/JQTlc9DrX8S6nxmToJ1IRgpirrRXXkaNjVfGg2dLwspXi+shdSwBwE9lKcAN69aLyKw5sz/+7a/8w9P/cs+23TOwFRYbZMWs0VVEmsmys6x8OW+ZFbN1zjNCCGgAQyoBc9cEk7NQVVIW40UxXnTGis54MTFWFGNVcdvIjrs7e0MAaXfwRVtpdHzTL647/Kgj/1CXrsnz6fPn+fdIQBbk/Xd19oZ3M7Z2uljTaEs3GeKhu4XWoGFrcoa6XHq8f1xdIxoDWsN5Sx/SZTs85MEdAI6YCUQAOuSKCiNz5myprbahZrdE/qviYMnkpw3DV4n0qGD9nTQL7u/HksFCLXb0+kEnzIKIoLV61OPPuV/xbzPUrSYlEAAgy/PfROfurLv9J79E5pyUOPFh4hSiXwVBKuFLt658jT5jWiQRfF3oHLecNS4DbQBqcBfnJSW2ckGFEhqPrgq9x1TtphJYXMWuI3aCq/a8mf98xf/65O6bbrhRRR+xum3YyP1wzIgI4MAvOVHVDbX23NkGO+HfbuuR3afLQoLo8BAcnAuTCxXHR0fvu0kxcLwb3EOFnqaNEj3i2KELTymsPQ1DXRtpq0ZzIrY9xNfvuGv79ptuuPHs886dPnvWB664/B1Pf0FnaDcBaiTLzs9CK3YaSTunyGpH2imsZ0+jWFPYsFbKIakus9+qqqpyoiwmimKs7IwXnfGyGCkmdnfGLt+2umLXCCP1SaTgQHJSs6l1+09+6Z77rN/sCrRlp+7KNne39zuLp41+1OPP+dGXv26t9YtrbZYX+8ihbE+fzQNA/OQ+alS7NSx6aJJXvs600bGJGkocJDj8AVjiPDiPhz64Z7qYRbnfUIoGZtDWGJPZyiuRFSlFLrzTRIpj9lvtwBfrdEQSaMA6eFhvQH9Tr+AdSNAKEyAIGNM6/Pj7zIe0VVUUxQ3X/PzW639197rbd2zZphH3Du+YPW+eQQLEk844tWeg/6ynXnD4icf/eh+wqtO5/Zpf9ikz5qoWab/TJz/aHoV0+2z5b/fc8DcLTuvYasC2Y8KJq5xtOevV5SK1EtwXpDbx0Tay0tZ5RUrJtmTnbwW7CWfHuRpzVWvujLdccem02cGXY8u995adsu2BG4UFGMP8MAk7qWOzAISFHNcdy/RkXNSe+3ofECxz2GBFfG/INMPK4RopXXFFIQZUnm/xjsoNHIrNRmERg+RRXjE7DMtPmpbC4D2QiBq/m6l5FW6aXoEgYNkpx8fG/ANNnz3rHVdc9i9Pf8HY0C7/nRQ5q9EptsqRRqusSiMEnASgzlXKJnN2QvKJHGVVdTy4l8V4WeydGNtbTOztTHxy2637bOkasB4buZyhaqHusN1wzS+rTqH6fp1rz1l715r113zryrGR0TU3/IoFnLjhbYMDs2c54ZkL5h954nEnn/GIM89+bJ7n9zUtdfjxx4LRVVlCsK/w62itX1AhxjpuuxsQT82GGSQDIuzarEe/ucDTKmW0zo3JA9Vugl8e0cQsbOe/jiv1g+p46IM7Yf6Ux8Bnfw6IwUFJaUiBBkpXymlWlpy3jmpGmilggu4iHRsQH7/vKZfomhLAAxEIYIrKnDADAsCU2TOnzz6Ax5CtqjUrV33iw/95809/wVVFTjIf64WUkRq+6x6v57luy6Ai+vkXvnHYice94J9et/CEYx8wxCMuWrho+2379lCRo+qw9YnXGCt3P5O+z5Yf23LTU2ccc2zvjImqHGi1B1o9VWYrZ72lRg3uws5FfE90diS1i9S9ZNdxdtxV464ac9UYV/mc6W/5+ucSsu8cGv7EBz98lOnbXo1Dsi8OhAw7RvT7odjgIxFCTjRLej6+gxrrYhaBStiX7dQIIPRHIJ3qHOcw9y8+wUWQ0zve3QNPqnMHohAdxOXHS6FEWMgRURwHbU5FhW5tCg9qsNsiKCCH6773vumtZ5xxxow5swFg6uyZb/zG597zjBeODe3s0l8hKkcKrUIiqprjuFY5q5xOBp+UbCGAmYuq6lTlWNEZ6YyPdCZGyok7xnZ+d+edo64KXQcQG2iZEHnap3ROql9lixYuAnzAMzvO2nvX3f7Zd3zgrrXrbWVdLWFylbhtd95lme++Y+Mvf/LTyz/5aTTmtLMf89evfuVJy5bu72Yzffasgdkz9t05CgACMk23hqqxlPkNAKHSaiR8NVXLwVOzHk+pORmNpLDReCOlQ+SkybTBYKgZHZYQ2095LDyUZ1P98dAHdwCYOwDTFezgwLwTgVJKxfyapu9SLN6bl0jNvSBEqj0K9GpYrw/x3luAAzq34nETAeCw44/N9iPcB7dte+lFF29YuYZYfF6MQoVJc5n6PKr2px2+fdOHL3nVgsXH/MU/vnLRCcfSIctsTZ4de8Liuzdu2u06I67UTD7jqZ4tBUAhAN5nyy8PrZ/f6n/c1EXH9s0YL4v+Vrsvb/fkLZ/k4Nlt1xh6Sg1V33607EpnO7Yat9W4K8c8rLuqAzxlyTGv/9SHp82ZDTGB+g2XvLwzuHNW3jvFtBRSwU5RSIWdsJXzyghPtACwMHFTaJg82ZO2PdSe3pc84TtMfpuEJcamQ6hVAYABGUQBxQjDSQ4KkJh3BHQiyq8rjXBwEiafHQDhpyNVIqnD7EQQsV/nhFiF0X/JSVnmcse+F13wjPd++r+OWXqSNnrqnFlvvuJzH3rJa0bWbvRPMa0uyVGDSWLjWmklQqprAACAAElEQVSnKmW9NT8RqRCdiohgnRsvi30B1jsbRnf+Yu/mrcVoJc7VqUmpcysOGAFyVL1kZuj2sScsNnl26B87du7etbd/8V/+/d71G1xVZaSUhsohQuhJMAOjMCIKEmBVuaqsfvKdq3501fePXXbSpy67dJIbZZbnhx9/3F0bN/nzygLTdWuoGod6nst3v7pqr8mBjk3cT8NNSA0L5WCuaXxOYW2I7y8HgOkK5g78njHsd3Fg18jzQ/fYsgs+/VMQAeegLKDTgc7E6MTEaGdirJjoVGWnKjtVNWHLjq0KW3WcLZztsC2cLTylIN6iOtzxFuoddhMc7dTFjrlqgm1OKkc9U7eChAYRAJRWn/7O15acekrzSW3buu0pj3/C7m2DKSbGa3UypJx0yycipZDMqPDRWilSPm5k5tGHvfzf3zN19qHSf5tuXf3+P7/krvG995T7dtvOqKsIQTcePc7yhY+BQbWg1X/21EXH9M0cyPLevN2b5b4UrdihT6aNVEOtK2dnmcdtOWbLcVuNuXK4HAdFfScd9aK3/+OiJScorbzd44ff/I571qwnB1lUnnnHWn/SOlVhlK6cGy+Ljq0UNayyoO6PSrfuMLQfxZXMpTgrHJMIE+keiNqgFApRbaFyr2O7Y3RU+q30i5EEoAwpI6VRmbgMp2cYSKBoWMMNLjsj3TaZT+9LbQM/HlzGfQ8THnbS4te8523ePNJZt3n1+s++/X1jazeB41lZT68yPTrzt8gRU8NPP4RiC4Af2dVEY2VntOiMFJ07xnZcs2fz1s4+GzRCksRCScjkRU39ykxTrcPzgSN6prz+q/9z5MlLDvFK2zO846OvfMP2O+72p9szRWl7Z531eiS/wyvYluySNKgSLsVNmzvnyh/9cBK+r775lkue/GdsXe3TCTJcjRfsSuF+ZXrIBJNhTG7DqkU6R9UilZPOUWWkcn+fVK50i3SudEubljYtnbWMaZusZbLevN3Xbve1erDdhlYbsgyUBgR40dmw4KGtk/HHH0XlDgDzpsGMFmwbCePy3sWQoqNedDQMqoKutM+QLIGBdgeUZKDVNFvpki0PqMyCkEAq249bumzx0qXNZ7Rt69YLznv87sFhE3PmvIskglTAOYD/cEIjwS6OHAEhKqUQcOfGu99/0ctf/78fnzprxqGchsOXLD7t1NPGrr9ut+2U5FhklCufER5eSAgLRUZUQgLu7om9l3f2LWj1P27KouMGZvaZXJPy+G7ZgQ9pi6gamQe24sZtVbIbA7vXwMKzznzm375k4ZLFPrZmeNvgP7zwpXevXmcYs+i65w0h/AiCVoqQelttL+/LtB4viglbevMTDKKaRu5flK9wt3bQo1XtqxKZGV+wuO6y3XPuOngHhdacavA5DTPOUPJYQPKLR/BrEeoS2MTnF9vChNhrWj1ZZkL4OCGgX5MqayuHnnIhh6Vzm1as+ZunPevwmL59+MknveUrn9myev3XP/rp7devRHZsS7+kpdFKFb/GQL5gK4YAFbvRsrht3/af7d28pbPPi9lj6kXUC0nXCEIP6V4y/Sqbadqnn3b6obtV79m+870X/XWxa2/L56AxAwAL+64EIiASoWgkIKics+nKjgcB7tg2+ITzzvv+j66eN39++v7ipUuOWXrimptuhbiDYYCpqjXM4/4jmZypU8Pdv/XxEw2T0mMiHU+NcWiqjZSRUEU/VGbgCub2w7xpvyfU+h0ffyyVOwCMjMN/fBdGxoEFbAVl2elMjHYmRjsTnbLoVOVEVXZs5W+FC8V7wa7g+FVcJwZldNXsbCfETrDda0sGmaFbnlQJvk6As+fN/dIPvju7kY60devW8887b+fWoYxUCvRK/KBBykn36kwjGaUUko7B9kYZr73VWisiAJwoOlOPPexNl31cHRo/s+nW1e/780vuGNu9y3b2uXKfK0e5asbTUK0VozSUiwAKaEGr/+TeWadOm08Ao1WpiVhAIXrOoWDrWBDACRfsOuDyE494wkuff8SjTtV5ntLIhrcNXnzB00cGh1ve7pF0puPkiNYtk7Wy3Gjt0dFLxb3x1nhRjFdFx1mKJ9b/wQa4h+o4SOnZlcIdtvFDPvmooQ0CjQMe3OP2xb/2Sb8VDYslJ+27I6bhWtFIE2z+irCIIdVj8p4sz7Ms2Ub66t5aW1RlUVWls349870K364YmDf7c1ddka4fZ50tinuuu/mH//2/xdq7MqA2aSISkJx0mnotnDWkSrb9psUgN+3eunJ8+5bOPtcQsDfC3P26KDZ4QnCb9IDK+lU+XefH9k7/x0Mu251z777or3fdvqm31YMYa3bfco+DwRU77yVgmUdtUbCrpCbT0iREKTxz/pyrf/SjJr4Pbxt81vlPGt46CMlSRoRBtlcT/jn7gr1NqpXuoM59/U4qR51PqtyVzpWJlXso21tZ3t9q97V78lYbshy0BkLob8MrL4SBnj8gjP0Wjz+Wyh0ABnrgVU+G9/0fjBRhDjvKD5rj4LUmuo4NSvZ6afxwUvJnsKOzwovb03LSCtGgMqQcysax3a/+pzc2kX1ocPC8884b3rI1Q5WioAREECVWHyJSOudnyIQEES06ckToyKEjpijIaOf5vo2bt6zbcNihFVaHL1n8yNPOKK+/1gqnlzHKVXotClAAfV9R1ca+YEE2Tey5e2Lvt3ZunJf3Lcr65mW9/SpPMAGaVLvlRNrTBqYcc9ifv/ziOSdNbgn4pNO924ZbpKNCKTrXIhJSb7snC8iO4KMzurHZCXec9d2O9JybU/gJICwEnIq5Gl3vnSSRDNTrAQDEhVa8LWgztwuie7uvd0gcNXZyAsLgZZdIklSX4T9lpHtM3pPnLZP5tdm7Fvs/nhuTGVPtG1FCIkIkJD4AXTJSe7YNveCCp1161Tf9VaS0Urrn2Mc/9uhzHzW0ZsMPP37p3jvu7eweUYh2fFScCynkgPtcubUcvbccHSxG/ZlJp6uWCXVvXzyqtkkPqHxAZf3KHJb3P+q0Mw69bN+ybsO+O+/ta/d4YVWc6+LGGG0Q/juRKn4M8UA1JAJs27L1vHPP/clPf5oygWfPm/vqt7zx9X/3quNb0yp2fhW3wjN1+85ib7KyS82w4I3s6/cwcggxv3ByDKSK8VY6ZA4iCIOzwA76c3jVk6G//duHpj/Q8UdUuQMAgIyMj37k6+bOYRSpnO2U5UTRmSiLiarsVFXHxuLdVYWzHWcLtoULZXvBNlbuzhfs41yN+zuuGmM7L+ulOO5MPrCRiAEXzJ7zsn956yMef7bSemhw8ElnnXP7ts0ZUoZ12Z48LvzCoBEz377HkBgQRqK1NkrnxhhtfOnnbW9bUwdefdlHp8w8JCpwdHjn25/4rPVDW0Zdtc+VI436vTnrQQ2ZQQNgA1PkPzMskpM6Mp86unDqB1/3psPOWC4CfbOm6wPFMgwPDj7v/KfsGRzOSWWkDVKmotkWKa20N1NtZblWfreAIuIr2cpWndK3RsqRYqLjbFO1XldwIgySoj8KcR22jXCjmkkTgFSwW+EMVY/SIDDGthJX20s1VBFNQgYAPLGbxcq9btyleCf/WyK50v1ZO5hPZZl/7zz15BWK1rmiLDtlUVSVd63xUwKBlWZbsJs6d/b//uDbs/fLPXfWuqIc3bELAe+5YcXff/DdfZv3bCr2FOwIUSZLfXzTuKkUCq7FiXPvITOgsn6VDaisT5nFsxe8/fv/1zf7kHi/vTt2/dvz/7bYs08pAgDvqxwsfZy11iWTJW/e4Oceqv1MKRrFu3Mix81beNXPfjJz7hxn7Y0//Ol/vfEdu3bs9JubUO+HxYn3urKHdJt0m3S642v2FupWKtj9HaV9cyuV7S2dtUzWzrJ2lvfkrVaWGaUZsTxqdu/fPB3/WGp2f6i3v/3tf+jn8Ns8MDf5o5fQsiP33nlvuWOvc9Y6V7G1qR/onE0Mcq35DYxkKm38ntFv/EtxHXZT9GQljLfLQoCJ8fEbrvrhymuuy1ut113ystHde3aWE6oOWIDG1iE2+iGZc0P6kYbeo3vXLzIxNr7iuhse+2dPJrr/qbmst+foM0+96avf9VaC6U91fLgNSG02K2Gq2xsVNMcXLXDFXArvteVe13neiy95xPnnVsIDs2YIgFKauuf3hrYN/sX5T9o1OFxnI1AcDvRMsQpcJ3ZBUijJk6WMN9b0zI/EIK1QeEJXJV4KeyatEl/O+/eRLbAFTgkhGdGAyo9qTZmW9Uw1rZmqVQo74A47H49nG79i459ikSYDIxH1OTobJ5mjUaqdTC+01j5+HBVSMogXDskhLrLzXUJJD74j+/Zd8bWvX/inz+jr72ueWHZcWat72iOj+3rmz6qc/fZPfrjTFjXjFB0m6jv+PAhb8KoYsf5livSRGVCZv03V+cy85++/8PE5xxxxKB8u59wHXvzqnfdsNloDQFLcB/fN2gTfWW7OSdWR1q7xtfmdqaJ//I3vzJg963/e8p5vfvrSvSMjhUuK0sAp+XdHATKA8YbsjcrJoPLfNGEYVYXEJSTdcJfSdc64IiSHUB4xq/dvn5FfeCa2H4BS6CFx/BHRMulQREfNm/G2F9pNg9s+/vVy4+ZGpg7XJEntmlTvZrs/b2xBOuJGXZWHHiMAQox2RAUkwAKADJ2yWnvzrXesWD1dm/6BWZsnRip2XZmr4RExRP01r3hh9PgaeaGqERyhSQEAMw/ffue9a28/YukJh3IOjlh6wvJTTll10y3+0k9LR4ddKaxEXKzZFaADJEmRbE3vWTkyn+r3vFf8x39f+fHPIaKnDk5+1JkXPO8vjjzuWD95aKvqJRe9YGjrth7SDZojaE/SlKafNa2sFeXH9xnihCfHfFd/eIK7YAdNzj2qG51wKa4UVzLbOmGpK+8CAdqkp6p8ispmZz2zps148+c/DgDvvuive3broXJ8xJXjXE2wDT348Fthj29BSmYi5yWTnsJiz6pJzbnnpHTtEBmGbkJ0nxNABE8NOcd+PjbtDiblciCgwNDWbS+56AVfu+o72hg/ybzp9g1X/e+Xb73uegHxNHSnLOea3jnGW/WOkDRyOlKEqoTlJ8KiOBCD1FZ6gLIBnU9T+VSdT1H50lNOOfzQrigAuHft7dtv22iUduwYMJkuBAsgx8lHMyB7Y7PVbZLdFRrQVub4KbPNuP3U694Wqv5m4RW3Xxy7IU543FkFlKPq+uNSb9/2i5NJjx0W10oYFk2f+7I/1UfMfajbDNzX8cdGy0w6xLli45Y7//NLo7fd1SnLInRTbbixjd1UV8RW6gTbcbajrhyqxu8t9xlUCjAj0kApwphqz7nQ3TKoMiJPQfRmrYrkx4N3VOyiALHbejTYTycjM9RIipQJnuZak9KKFHnT8BAdV1o7/4Rj3nz5Jw9xuGnv0PYPP+Xisd177ylG9thijy32uGKCbSmuYC7FU7e1IhAa2RyH5wN+4xwwN+YvRckQKKSWMT1567gTF//dP791557df/Xsv8wctElnFMoogz6mMhi1h5cWnNlVUmeLQIIJb2/QseVEVXVcNeJKaIyMSoNHLtgV4kZdOS/rrT0DAAwiAQlAm1S/yjJtZuS95556xrM/9s/TZs8EgN3DO774N2/+8c037irGSlvtc+UEOwRgCDDvBfiIuLUc7VNZjionpeK5wm5apl9lbd+sMyb3/lPK1+4US34/fBSCQbx9fOWcZRsMeYJtAxfsJtiWCj7zpctnTJ320be86/a168aLTqeqbCPqL1oBg7dI9JaH95ajzXeHG2y79wXLSGVIbdJTdT5NtabqfGHe3z916qu+89kpc2YdyuXkrH33X75027o7MmMICQCikRnXMxCheA+DxMmjLe0hJsl1KmFNdN68Yw3DeFmUzlXxtERkl3RHGh2XQpwTnqLyqbo1N+vpp6zZYs3JqyFDQzVXuqVMrnTumZk87z3usMP/9lnZ0fMful7th3L8kYO7P8S6sQ33rvu3y3ZtvHt8fKJTFmXSyThXSo3vo1ztc+VgOXpHZ+84Vx7+clRt0v6z6kGwmeMRsr7I56krQyrXpjdrOYIfDd5hnWuGPSrAbv49OVMn1zq/ZySfHqXI6+nIC6Wt8Fu+8N9HLz/pEF/43qHt//2UF23fvWtzsW+PK/bYYpyrBO5lJJ0oSA9FBBbmfVbE9x7T0dVzDs0rvySAQdUyRgHeOzHSQ9rnKxmqt8lJo52GR4I3elgr64o+bfALW3VcNeHsqC0LtslmOe3xnUgpboztjLz36GxgKmW+kO+wy5B8wOYE8umnnvq8t7/+yOOPnRTc7KytinLTbRs+//b33XTzLW0hryEphVteboG0W6o7ir07i7Fe0hmq5BJK8eUjQo6qT2ctZVrK5NpkShutvAIyRIgHcOdmkVvFiTBvWhkoaXEVc0fsmLOHt6dYlE5VVsyNHV6KMPTrXJey0F9U28oxDIb4ICBZxPR0p5fMVJ1P060FWd/saTNe8u1P98851BGKjSvW/PNzX2KQvNJJGjNu3vannnSL9sW2IY+xIbyFnXAVhmNZoTpv/jFacKzoFLZKDnTNmt2zpukM+BMyzrYj1omAQJ/KTuqZPifr7aesV+mcdIaec1dZoN1VrnSe5T09PdOOXnTcq5/Xc8wi1H/MsO6PhwW4+0Osc2U1smnzT9/zX8Mb7xofG5+oyoJtKW6PLUt2u11n/cSuPbYo2fmUSwRkEI3YS5lCNEgY3WZSuFejivegRkapts5685bT9OOtG6xz2tfpTVgH7Eb2YHzhS/hJgyqKfKEkpa3O/6vnPv8fX3XozgSjwzu/86p3rbz5lq2dkZ1VZ5SrhOnpTiWujzJfWzWvh6Y1eZSjhJHOoEaPFb2JvGclzk9s+dXOO2irOPPt45aIkoomVO4eAW2sAcu4tRq15Ygra467Lkh5gl1f3rr8y/83c8rUlV+5cveWbXdcf4sv4Y955CnzFh+9+IlnH7vspIOfKGfthpVr1n/vp9vWb9z4y1sQ4dgzTwWAaQvmLn3mk3aM7P3Lv3jWaGeiTcpbUzV6qkCAfSrr11lOOg/JML5oV+nVQV25ey+Hrikw/zWYJDNXwhkpv8zYGN+RkD16GPh+SbI7h+b/U6ghsGCXofITWOmOQepX2UzTmp8PLD3tlAv+7c2HjuzO2sve9+8//OwXMm08T9iYGQ4zzC75Q0Rz/9jD8P2MZtkulbBW6rwFx5KVsaIzYcvKBddo20B2rsevwrvvG7CjXDlhjQQAJq5e01R+fHv6NJ1npKao3Mfztk3W09Mz65gjHvOGl/UfuUBl5uEA6/74Y+Tc7+NArbRW00865umfe9/Y8K4ffufKz7/jA7uqjhUeF2uFC3aVOIOkCLP4uaqixNvPAabJZgEAn6/mjbmQAYITsDgQKQGgF1onz1x449DdwScLxIGgd7xDQBAHgCIOGIAABJiB/Ac3pJKyMCE5ZoQwTLRp7fqyU7QP2d1J9bVPeNXzhq6Y+qvPXs4IudK9JgNAB1I427FVKW6oGh9n6+ujSUt94nMRIfr0eRuDODAiSIhORKM4FI3UpAUQBYWBI58vIiKKiYmIsSk44ZB+5yxH31wAAHDCtqHa5tj3Prl31pmPOOORj320NubYZSfZomw+7STmsdZWRbF/zLGAmDzXWi8+dfl9/bqtquc98rzrb7xhxdh2hayRki80Ierg7y8evi02IraJkLvAPVnVN2zFOL4oCK7FgB22dfxe3ZhJaXMNT57Yfkhvk39VqWiYY3oyUkapXpUBgEfbEa7GC7v0L592/NOfYgZ6D/2zU3aKTWvX+90Vc+guS9NuwfumNT0YQjOck3FbbSIPIgjLZy4kK2NlZ6Iqqm5DnjRPO4mZ8XdKcSKiQiRTHY09wXbt+M6clCbsRaNRTTP5s97y2vOe+qTeWTPoYYPp6XgYgXs6SOtKwZc/9qk9tuM/nMZ38khpwTD9GNk9J1IBWxBhZ5DI656FfANUAAVIgAHI23KFjxnDRFUKwMy81W/y0arwH1EEYQQP8QiCAA7FSwKDuwqDYDBKYhIliFijoIuNx0M5bGVvW7X6s//+0ZU/uw4rp5Rqe7UlaaO1r6MHJ/b9aue9NqoakrNKOBBUZGBAouNiLBaT7MeXsQ3NBuegcyLPkAZTMA65FQLCKCScxEK1xS6LE18ASvJtF4CSXVot/FM9vj2tp6/3dZ/8N+8vqLSeVKHbyk6Mjq2+9voV1/+qGp244+YVCmnvzl0AMGXGdCd8zKnLTV97+ZmnL3n0mSbP894DaOC0Ma/75L9dfNYTjnLlbRO7Pb6r5PtPGsICLE4YOcg2WQSZa9v62BjnLueZ5JDDhqh0rmSXmGjXvZhx4w1JCas2diA0IgC6iP4VgBJWSHcVe8+YcdjMvCdZA4VoKnbf+fwXv/3FLy8769GXvOpvj1+65H5NqsMV7W2ZwdVt8LhuuUjCMNfasxDPmOQJSSQj4kQGTD5Lt8Y6nY4tqyhS8ghu4WDI7ostv7wEOXLYNfqbUogalANB4D22+MbHP3PW05/0MER2eFjRMulw1r7xGRfddssKG/VV9YYRpCnF9eV8Ic4KJ4V4Ys+pERHQrCCCNouUIZUpvUeq1bu31e50IbI9JT2macmUExb7tERN+xoAcMIzD1/4H9/9SrvvYGWXrap1K1e//01v3bRqrXLgEyMzHyqmgmLPKD3mqqs2ryuc9Z+9OAPSKDnjxYEICgigLhUhOAk3mQrUjWKqTbpHGd96TWkJ0Q0ipqeGPyMJAeu4PnaV8ISzu21njysSZHgLkWNmz//qNVfPPFDulbN2w6o1X/jPT6y79lfaMQGa6MiWDIRd7G0yiFV0wqNPf+4rXnbs0gNzODu2Df354x5/x/CWDrtCXOq1TFX5NN1qK228F1V0nklDc/sZ48QXGNHQzxyNc9Vh27wIU1WeqJgUjY2AAuD3WDlpHev08LrimfRXbFuZJ84/vk3az45GZb1NySpMeNTSE1//L+86cdmS+7Lh9cfE6NgrL3zmzrs3e9ejxutilwxEo8asQZcHe7JUJ9lI0SyZPn8amjrRcJKj2WRkD3+8Se/4a6zJPgV8j3MJJiapHnvK0nd+/dLfxKf+IXo87F4wAGxatW7rmttaqC2yFVLCSjDeJOXAhWIZ66ggr1dzXheOFE0GEYSw9m8hAEbvSSKI7KaR6dHZuC0RxAEjkgMGIQRAFBeGTkgwAKz4rCAAxZOl1j57+uCr8dC2wZc+/+J7Vq03DIYoeo8ExgARfc+2w/aqLetGbZmjaimV/PZq+44Yf+EnIUthhUhBFy9pHjIU7+Kt7dGhaBSD4surHtIA7Dc3IkJIwZsFJ88BpVgoJ2w5iNZ9Ndph6z/JLdLzs97+qVMv++lVB0T27YND/3DxS4fW3Z6BautMa51rkxnjRc2pf8uatdOqqkpbcWlv/cE1N/zwx3NOOO4Dn/vkrLmT/+zMeXO+fM0Pnn/2Bfv27NlajnXEFuw67ETlPgmEADHwaaK8CWI84fHFNSawEu0gIiDjzo5zlZjoiOxdnEySx/gyohTXr7IpKmsMSYBvDqWfZJFC3ATbnwxtPH/ecUGWLozsMDXDBZ3j9besfP6FTz986eJPXnbp3Hlz4b4Pv9tgiYlnDVlhekWcqJjkFx+N20KzBIRFelU2DU3lEsPeJOgnA7rrtn6LYeKQYtRS2R5kWvGfOpiw0tbVt9+1at3RpyyFh9nxsAN3Z+2X3v4Bw0iktJAFrqBhDC1Cgn42P1QoJMIgBB22Lghp2dMyKvAzCaOjWB0Iwe/TwwdpSf+sm/duc+KNWQSasI7khwol5Nmy9wYgAdkvPc5/lg7y6oa2DT7l8U8Y27a95WcqATCq7B2zJjJKaa0r4e9vvk2cTNO5V2pibBL6OxCBo42KEPvI5EqPutIJj7NNiFOwK8UxSKJoJDIzGsinQfUorQBEUBApWC3Ulk/+aTcNBuoYax+qBzJNt9qk55geo/UpJ5/ypv/5z+lzDpBJ76x97cUvHlx5m59FjPFpOulz/PwXMzuO+BS6AIatbFm57rUXv/iz3/n6/iXe7Hlzv/Cz77/nklfccust1rrBaqzDNnirSaTaGaQrt68L3KWh+E6vscN2nKuSEw3ItpuN8fskhZQDKaQ+ZQzSFJV32ParDABKccngqMnhCEhLdA/pUvjnQ3c+bu7RuTEiUtgqaWwwOV07t+HmVU9+/Pnf+eH3586bBwc6/HahYqcaNgLctMMETgMiDlL9LoFDh7oMV0RLpsxOjeXJrdf6F2U/Wiaa5ICEFnGSqAVMT8iusjTBBKQEvvKOf33dV/774Va8P7xeLQDcu/q2oTUbWqSckBUmQRJUgv4OQYguQkKMogTxH15UhbhwbaPHdwCUUMsjgPi+KENKPhIEBkLMlV46Ze4tu7c5kPgrNaz7OwIMiCJEACSiEARigJwkJt8vCQc+Brdte9KfnD82uKOFKs1xSNywA3BhrQiMV8W1w3crgX6VRUsspEbZ3mRavM1Zn8pKdka3xl2Vk04OUBlSISrxxRQ7EAIosYcsIAvaU3q00aSccKZMprVlZnbewa2wFvZLxQuVLLAAHJNPbZns5FNOfv47Xn/c0iXqPjji21euGVq7IVMqV1op8nbn3j+E0JNcBAJAICLsv4OkSCnFuWgWHlq74faVa044dfn+f3z6nNnv+8b/3r5q9eff9v5bb7l1oirvKkcsMEpIGvHpfcF5BsKupMfkLe1V4cIiAOJBrXR268S+cbZer91EsQTrCBiohliQZki9KjNIU3RGgE6k3fj8Jg/IZGRfifIKyxuG7jp55kKFWDrHIUkwHH6J1YgjW4cvOO/xV/7oh/PuA9+dgF9uG5V7rU1Mtj+pbOf9eXMRBlg2Za4BKtl2yyWlMY96n4S7fyyFmKHnYVQN6EReNhOr+ETOkEYaXrNh8+rbDj/5UDXEfxzHwwvcnbVXf+IyI0iobKw3Vd0YDLEWNTJ68pkAGJhAWMokQkNPrbBDAvAVGyCwk0DLIAgKA4BiZxH7lO5ResxVAIzdsN4geUBi5S4xJQoFkmJaBGYsOPDeuaqqi/7yeXu2DeUYekcioYEZRwFREY2WEytGhkigV5l09TflfUnO77tVsfYXo6hkpzV5uw8LUrHTQka4RCq9HwA7K+n5AwMCAwtsmdh7RP+MgbxllNJKU5zL71QViIyXxdbR3SmZ2jWmXSrmxa1pxw3M+usvfPTgusbt2wb/6UV/g06UUtHOIabuRaml/0kOi4iP0wo/5mdirbP/9KK/+a/vfnXWgQgKZfQJp578zq9fesfKNR9/7t+2RtRdxUgK/Pbpfen9mtszpZ1lAJSboApPUvfdnbEtE/vGuSpTodpwXT8grPtbm7RBapH21p4ZAcaeWZr2TMw7ByMNssiV8M3b7z1xYLYhxXGP2X0gIe7ZNnzRc//yqh983xyIf5+xYO6WjZtCbmy4wOo8wm6halfNXksbQXqV6SNtXXCNbuB7t1fBfUA8C/uT47E7q/uo4UTpBrI3v6kFfvyJzz//P9/1sCreH0YvFQBsUe67494WqSbVToIYvzYIGZTEyQAI+aJFCUCyIUxsjBe9RNAXEAiyGQEEsILEjIhH9E5bNTLk/+v+Zbs3a/RhrYLIktabsMj4rcGMBfP2z3sCgNUrVm5YuTppApJ1jPc/8H+jZHfb6A4DGEaNkgkwNtXrNTmThtpDMhGBFjEKrUglTgFqYS1shDJhryKdYGuFU/3un/eogzFXzVHKaJMZ7WM/RSQ3mXXOB+JMlOXuztg+WzAkZ1quhNfbkXf/7+WLD1RNp2P74NCLn/SMfYM7MqWbBo8+SpslaJA4JmvE74esPn94GmrXtqEXP+kZn7rqiv3Jd38orY8/dfkL/vff//xJT1HCGNZ/EEAW6NfZ1FZP2+TtPM+ibT16z2THpa0AoBAe5yp17JtsMgBkftQ5Gqc0QSqL9amfsWj2LdJosX+FXhofwJ25Ep5ge9vI9kXtgfha0wJXHwiwYdWa1StWnnL6aZNedZbnMxbMs8Kp1IDo29HdIWhoY/briLLIET3TgnqnMaqa+Pqm9XwT4puMU6vZO52M75Qsmhuro/eZwdGNm11R/n9w/6M9xnbsqnbsyVCpBk0czP7THKaPtwlb7dqlIkSRcuAfAcDDZqrWPUwjCAaxI6MAApAgCSPjFK84BsFuWBefm4Gg4ueNwOvdI7hHSQlpOvv8P9lfu7Zt67bnX/Q8a50fd0rOMBKoImEQEtla7NNIPWRa1GW6FAE95h74aaWGwyKjiAAhOWEnpIAVoCKuhLWEr0ZICxNgR2yHna/ffcwoAt8zuvuIgemKSCutlQp+vxy7j/Ec84TsshOelqnYleJOWrp0yfJlB3lPbWVfe/GLt28dbEVkT7FNzOiQAUCJ726HN02iNNtb1MaYlPCCt28dfO3FL/7Mt79+EI3gkuXLFi89ac3NtyKHaDYBnKZzj+w9eZ6bTGutScVtCli0LFzY6p7R3VUXtAUI00jeJ6AJ67r7TmoSel/PSc7yyV/FXwBW2ApVyJWwQhrjauPY7iPbUyEZK9VmL+Fw1j7/oot+8KMfTQpI0kafff6ffO9LX2HLTQ9kiRr8NGaVCJmmlbyLzYl+nfkMccvs2K/iYmtSvrGJgVoSmoaYWk1tjKfaqXmWlKEa7ruYGaJyx+6xHbuz3j8q38eDHw8vcN+54W5VuZx0YtspkgjEweQ9/ChFaXaaKiIQFiERliKIZzx73qjWkaKGnR0SiiCIY7HgfFjMgM53VRNJaSNIKrIxoXIHVIAR1mUSuOdZ68jFx016UVVVvfB5F23dsq1NWmK+gQD6YodCf8C/COhTWQ/pPBaGkW3vGjetYR2Tj5gw+i0/OhQlqIW0sBJnhXQUj5I4hagYCahga4N4HxCgYPvzbXc+/siTVHC1DDZhREQiRuncZCwyhdkJD1Xj3o9TFL3ita8xB1XprV+56raVq43vcdTm++zCeIAVUSyCyF0aPj90E1OtuZYbIgLetnL1+pWrlpx2yn09qDHmFa99zcsu/qvS+fMK03TPlLzV0lkryzJv+Rspf7/1MWgmXHXd4KY0qdQEdy/xjJ1AdRBYr4MSk8tNnSQeiMRo6a6SrjcybBBL4GRQU1M6/ti6ZcsLL3r+t7935aTTfuTi4zDLbDXeMM2vvRAmxYNwo61qY/0+PcslBIg71yjbU8ZWwvGGVKYu6qNDjspikZ6F3qlKPEyGsWynuEDG/6Qr3rXhrmmHL/hDg9Dv73gYgTtbu/FbPzaCSCqwMZwmMBEJk9ol6mSS+EX8HU/L+BK+YMdSsyuI5MdNIwsPKGKBQ1EsQIIsMtP07CwnXBRQqtBERYUkAsoTICgkAd+bunIGmD1rxozZk22eVq5YceuKW8OnW4INi1ew+JYmAjiQoXLfFJX3kOkh7cvDSfP02Cje6wMhuZowghP0tqsORQsqwUrYCtp4PgkQCbxGzaNYamAQ219tvfNRC49RpFL+URy+AULUpFra9GetUa6GXVWK03n7rHPOPsh7aqvqnW94s6usIR1TIyKy186a4vOsJwu0ub55cElPxlX2nW948+XfveIg6u+zzjkbW1k5Og4MU7PWgGm1dchNBWw8kN+dMVt2t2y7qzmsFFZEwB7SeUT2bj6h5md0tLjQcboiBcAmxSpgTc6wCKMYIc96Gw6dlaFidJpusSR/1FrxkkIwVtx668oVK047/fTm650xe9aUWTM2j+5L8SbRO/7A4N6dgSUiMkW1mCVU7sIOuNFskHriqfGdRM5kSBlRxHGVive6Tq+JeFX3Kvxi4D2OADd++ydHnnMmPWyYmYfL6wQAV1TDN6zMlVbMSlzwShUkbuQxURioTGPdobTxyE/CLEweMKRgx56ZEXCJeQ8QH1h4P3FHgn48JyelCEt2taoESHVX7hT8W4QmRU+IHLn4uLybcLeV/f7lXymqSkXJIzduGMZiAUGmqNyX7T2kvU9Z3UfFmp6KqIuRvwXxtEz43KJCcYJOxCIqIR3JcWRHhCTOp9EqQQU4ylUIhEJQgrs6Y8Oje2e2+y1iKmkTNwIAgJgpNdP0bCtHO+yedu65+YEaDOlYs3LVmpWrWsmSXoJ/MnJqQYu3cAieZxAmcFmYOc4TxWHRoCtv/OXlp516Xw+d5/m555zzzW9+SymcaXoyraGxYrEwMHoCzm8Udozv2zkxFs0Rw80HLiZMz5p8caNm100bokZGYHNVnhw5G98yBnFCJto+s4oGAPV1Ag1LXgCAoip/cPlXli8/uUlM5Xl+5AnH37nxTopi2WRdLA2Rz/5Ww75s9w/f5RbZbfXONRXD3K2nDNjdXbPXlXsD4pMdaVYje+xhEA3fsMoV1f8H9z/CY/CGlcpKTkohEiOyAwJkRPLY0EXI+KObkwEBFbwBMCB+IQ4EnDeKaTgKJPLdB03YILgMvCqjWAnFuxe2UxeyR5KkUUSzCGj14le/YlItWRSd639+rYgINlpbDXD39gYjtrMw6+8h3aN0C30OZ3y4mpkBaGjPwcMEdtupo2dIAznjQPzJDAV7LN69S4PfeYy6qgIGAQVUCW/YNdQ3O4++ibHtGbiR4ICgCI9vT19r9/7Fc55zEE6mqqpvfP3rrqqEjHgsQEQRZAHyvVJvdYAIPKlyD8CXRiu5Fmh7jHNV9Y2vf/3EZUvv6wkYY/7iOc/5/ve/f7yeomKak5flOMcAQCxeWuI9WG7bNZSmNKvgiYg9ZAzVZEKjHxhq9tpPtKtyx2TXXEe+hOI9bP6CIBIllvBCkXm7uxjpIZ3ojjD3VDM2wCLX//zasuhoU8eGaGNe/Kq/+/6VV1nrqEH0N8as6sHaSdl+AGCQ+pRxzXGt/VQx3Ur5MPSka1fLrq+pKm9gelPkHqTuGVFGOtTyVoZuWLXw3DP+0FD0ezoeLuDO1m2/bkUOpJQhdgjOTyP59mmA+BrTvSeTryWTnEIEJM40hRKeWSrhULkjOKjJdwZJFT0CK0EnvLOcaJEG8KEZzhfvhKQiGxORHRHB7y0Sj3zSsmUnLTvAlF0pDhE9X6miwQv6mwR7sikq71PGx5LpGLbXxcnUZgDNI/I8WCOFQvaVu0O0IkqQyGuNgDhCvIS1swdAQEZdZUEUsBXcU06UVeXNALwnpI9bciGFKZDfiLi4PeOcc845yHtaFMXI3r3+vhMh38QOc2YiSCJCGIemgrBEkkC7np5PesQo2/B/c2Tv3qIoDrK6nHPOOYvbM9A6CH+QmdkiA1gW8hl7PgHGsttTjjepdkL0/FjeVbNTN+2eAD1V7iHWPKV7xzTg2pMZsC7eucGQqKj7nKryCbZ1o7K+gfeEQcTyQAMVJy1beuyyE1ffdGvScaWLUxpeZt3Z3KyQWqhyUjuKidlZT7IiCNFRkyGeU1fWd4wiIRNPUWyZZg0dUbxTjzUl0ZEhlVH4qoF2XLdi/lmnPUysZh424F5W+27d0NLGsiOHFJuGyIge4rmrZvcSEzhA8Q6MdQnvvzrhWuEeyXeXrB8FAFgLWWFD1AM6pJgyFuysCAFzqNmbGh5IvlosMmv+vE9//tL9gWb70PDmrVszpAm2CsSBECaNQVyyhKborI9Mm7Qf21NA3qC8GQoKDT8Af4QNgSc3MNC4TtCBOGQrSMC28YSJEAWJHQL6cXxBETIsMMaVArSCpfCeYnwga2MU5ETXsK7eJgg4Z+/ecMeJp558kLf1hut+CQAO2DuXoaSuKVIcH6BJVgeQmJmkqm6Ae5ywTX/8IMfdG+5wbJWvk0Uc+2wpK6K8EAjiRmFPOe4dVHzNjgge2T1y5ai66s1QtjcNi7osiaj77Ws4d6YueIMqQfCZYn53hYBTdDZaVrVhQAzq48iltEndu3Xr9qHh3r6uwD9jzKc/f9kF5z1++9ZB72uf0q/CDmA/cPeN4hZpv4bV1o/dTdQGh1PrbRAwdlCjcXGcXWoo2bvK9q7qniJpQypTOldak9q3YgOX1f8H9z+qAwFgz2hbG8uKoPIfAGQkcARxBLSB7942JQpmotrdj1xi2O9z+ur3nliX6oyC4BNWPcSjE3aCvaQDZ8roEbZg57tqyV4RG7NLnjSfPX/ed6/+wQFHwzeuv50sZ6gKcA6EQJSIw1C2uyBKkQGd9yqTxZ2+inI6aiTHT0qXBqh39xJ39yziEJ2IEyQQB0jINo4IeMURhfMmgsqviD1KBKRg58cLhif2tZVOZWYcMgoMOEfXAVvZr1x2+Zvuz7bQn3wK3j6hLe79G3xoLUqXhQPU8v9gt5tA7YD1+30d/unZ0hplfJAIiQMXWriT/AeGx/bFNCIGgF4yOSp/84CVB7QKEB+QHbrc6JIC0jvWUaOnGtsz9aNK9ApmEOdNkwSVIAIOqPxeGU1+vKl4j/5xmKEiy3esu+2Io4+a9Krnzpt35dU/PP+887ZvHaTGTih5zSeLG0LsReMTq1sR4qOV2AGaqAxdnAwApIK92Udt1uxpdYwdi8jIU8B04y0KSOVKt7TRpHDPGMLD5Xi4gDsADMyZNb55yLLD2rQ2+CgBO+/sItwQyUBjwtPfiT4zzMAEHJWRqbnqyXcGcF4E6YeHBAjEghiBHmU8susI8RqoEBcKugjuoRYTQITZ8+d970dXT9Id+8NWdt1Prs1YWqQLcQU7BrFhR1GX7dN1NqAyP7iUCFzVpYOESZHc0PR7QT+vL7FyF+cLdgy9BO/ZQGFEAJP0EuJXb8bj55u04K5yYq7tV41B4FBHR0fcpNK78RfXFd3M76RjaNugBSGJI8HRh5kEydNcyZynVmdDl99LU9rRGIW3IEPbBg9yORVF58ZfXBdFh8H1VxBEgpuY35hInIm1IpWIFU7RfR6zmvc9NunuVqqKQJ8yHYMPUqMljvu9icFdOYK7FYkGGzigsikqG7YTyd7LLzweWzOkFqmMZf1Przvniefvv7LOmz/vBz/60XnnnTu8ZRskF+JaqQW+sZQjRVjXLVI5qRbqva50k93qudE75aTU7C7Yax5mEtsea3mq0Z9URpQ12JhM6Wg3pNuHnE/yR3A8XMAdEfsXzYXh3aVz3mUJEckhogsfCG+IErzZo7ltFEEGwt2jZizevTKSERiAEUpxPojD+eFV70ngFeIQLtxeZRRjo3hHjaQZbbQzdVEa7PF9/oIFV+83UZKOqijWXHdji3Sb7ASH4h3BD0953Q8hSi+ZfpXlpGqtdHIV7pY/dpXtCdwbe3wnogKmswu0DKTGLDIipKGpMBYALILiSPWQ6bC1Qv06t+w49W6TS0mDHuFGdPlBDm/d1Wg+Bw1S94Qa+mmyAySATwb3rpBPur9H37l9uIHs6O3RGMWP+aQOLotYZgfBqDbptXNSeYNGyKMIUiOZ7tyuRiJjbQ29H7g3hE7xZUaDF1LCipEAiXAAsl5luBqLQ0NpbkgYJItJpGuuu7EqigNum+bNn3f1j3503rnnbdmy2ZvppaeXTLA9FZMq95xUi/RuV9gE6/dRuXMdEDipdxp7pNiA9cnzqPHnI6xnpDIfnWqyTOm+hXMRHy61+8MG3I3unTfLZZuUrRCAhckRIaJL4+MitfeXeMoYGjU7dzMzPImZweiUBMH6sSZn0j9F9rpSE7W06aWWJirEEdGYq0aKzp5yPI17+Opy1pzZV/74x/dl5AQACDAxvLNNukO6TbYQKtghxBFbId8y8IRMFtPvElhEWiappOPflcnlWGi4oagGIWOBvXOsFQ7+DUlIGhc/fwKZxLL0kO6wdcAjtpjJbeqS5TTXD2aQHpNNFNXOHTt2Dm+fxPw2j+lz52zeeCcBJstlry71I74EiIKJ3A85WfElhuI9tgH9itJ03517Hw4E/tg5vN1Pr7VNVtgKwAkToxBKMg7zB4PstYX/m1NUrrGLbWjO5vj5g/2zAZoKyMYEU3DGr1foKIiMoSpBB+nEN0hC31tA9amMBfwGpUlGZajapL278sTwzoO8/Pnz5//4Jz++8HHn7ty+w1+KPmNWIU4xrb4s7yHDzDkq7yFTMI/ZTnR9mEy1J1qMg/CxKXas75j75twj1lPdQVXap2NnSrd01jZZrk3PvJl4aOEkfwTHw+V1olYzLniU/dlqKjoAICKKLLnUugxNNgERrpWOEAh34dBHPQAzM4l8ZwmVex29FP/ZUtpFNzEPgjkpQ2pq1j68b/oEV/eO7NxXFgIwQ7VkWt8Xf3zVnINabAPiovkLdm8YbZFuk+6wc15kCQBAiAwCCmGGbmVEhihHFWIlIu2eZCQHqNy7a/bw0jDIfjwhY+tuAVf+KcXzk74yiWXSKBmpHqUn2E24ykZjcQAQkB6TGdKKiAgr55xwS5tenW2yoxvWrT/sqCPv6wT4VOtkQA8ASih6rtXe9JNIp8TMNAV8kW4KZXspXIk7yLnfsG59Ze0RvdNybTq2QoBca8fimCu2pbPpJ1lkwlVOuNXolzbxPUPK9zMy7OqmNjl3pEZaN1LDF7qpnZX40Jwqd2ASBwyCopFiwZ4WM0GAVizb26QXzV9w8CJ33rx5V/3sJ88790m4Z3RX1QGAPpP3tdpzWn0hGwSs45g5BcwiBtUYVDXRD7V5JHcLH000GNhf+Lg/525SCR9qdt1SOlcm94b+SreMaZs8z1szLnjU/89Q/SM8zKLZve22RvSjiN7xNdWPtaiLINQ8BMIeuIFTNRp4mITpKkC8F0eiFJGcYcBUuaMIA/rMOdds2nqcFzHMbW1OnLGgFLdrZI9B9Z4vXHo/yA6AAIsOP3zTxjsnyLZIt8gxyDhbF4TLBMhOKE4/RkGYx4tGzFMyCIN4LlKcG08Cd0AX2Fu2gsRo65SSerI3+TQIigMySBbFIrXJjLpKE1kWBNFEbZ31mMxok2ltlFI+EhywqErqwb6i/c33f+yoRYcfduJxB7R8Ou+xZ31qwx1EmMwHGIWB4pIj9fTmZNIpVe6p68gs4sG9FK7YnffYsw542p2196y9/Zvv/+iS3lmZ1kQ005gg+HGucq6yVensRFV1bOnfaUNkrUxV2SQ5dugZRmyqXQyjI0pqpe4H7o05phrf9xM7AfiqnNjzZuEiN0gOwDZsKQGgR2lftrdJ9ZFZdPjh98tfzJk79+OXX/pPf3rRQNZGo2e2ektnS1tVzlnnwj6sDuvw9Do0YL0L4r3w0RxgUqm7cq/PYZpEjU4DpLznc66M59lzbTKtc5P1tdqmJzeLZt/fa/rjOR5G4I5GZ0fOM5sGrbUIoCyFwUUAqKfSJWgiIeZncBQOU5BQ8P5qGVTsv0/CHPN0Yv41A1Ko6xOykwAL110vf2QiuTGHz5jTzlvVyJizTh20ytB5NnfRwum6tY+rCdK95DzOenz3nLsGnqZbqcXkd6wqmkFiwgWYREl3R0zEj6gCP2qLFpCALdX2vo0/EDc9CIxigSySRjFIFqlNeqrOCaGljK+qjNaZ1rkxRhutlDefyY1xzJkx1cj4ey96+dzjjnrBP/39ESed0DwhCNCnMo1UiSPwrWsmQPZ509JUed5n5T5paN6Cd8p1GqlPZZPQzVl315p1l77rQ4O335krPb2/37vG+z/nnKvIIVbxIUARFtZ2nO2lLMdiv3GbOHhJQeenE+e+f/FO3TKn+LXBzEwyEUuzWuSYFTKxA7+SER3VmnL13nvSUJUA9CrdQ6aHTAtVm8xs0zN30UKdZwf/TDnryn1jh89bOFF0yqoqbBWQ3bsssKtHf7sDsuvMpnjfCx/NfvNKpi7kuyA+fbMxiapyUjlpr41pGdPSWW5Mrk3bZL2tthw2++HDycDDCtxBUd/FT+T3/Z91joiISorxddJo8vjhJiCQEK8TINuPa/KBwb2GeINx+i5qIn0Vj2HnK4QYvWdd5KZFolFfdOyDz7/x3YcvWfyX737jwKwZ9/mCtD75mRde+39XDLhs3FVWmVh9ozeVFYAqWpTELpPOSClKiabNsKdkqjiJbWcWit1OJAlcNonvoAYJIsYobIhclkPxvUGLylfuGjEnxQKGlCYiREXkb81IDW+A7p+aH2HdvPa2dzzrklnHHfWmT/3HjBjDlOet+dNmHt2aun5iVxmG/f1YbN1QjaJSaGxM0ms8sN1VKexEjm1Pmz9tZp630u/sHBp+z4tfuf32TZlS7Sz3GU8pmlWCFZzYcFbJ3zSREQKAZPfYqD3rqRz/TV2L3CkBvWrge+JniJqxtN6i+QCxtKHfi6xiYpS/yHfb0ZRWCgC9yvSSB3fdIt2vTKb1yc+88OAGuSPbd37hze+9e816j+yltaW1lXXBqJ3D6K/UuyVoGoFNqtzzaGvcYNi7TH1T1zS1VUPJksTskWf3BXtLZy2TtYxpmby31eptt/CFF4CiPzQM/f6OhxO4A8Bhs+nYw/rX3+Vtqgi9Qa40SlQJhDvHKU9PHCMkQiaovxtDqg2IZ0ayqCrxwhVMkowepZ2wQYrjfB6GHLNorzIkYevHHMUxg8CdK9Z85IWv+rvP/vtB8H3ucUfO6OnfW3V6leGosYn1e1UJz9W5bvpsKJWR1hQAwjflsDn90pS1NWKd46Q+OWELSIKWMdkjB+BMkwEAguJQHJKFumwvQnXm90zosyb8AKdi5ZizCJRxqQNEJCSjtHO8Zc1tr3nqs//tW1/y+K6NPuupF/zvxz81oLK9rkAGnzneDe4hsmO/yr2Lk2kOSVbipqi8pc1ZT70gaUV2Dg2/5mnPLrfvbWeZ0cZb0mOtT0FAUKQKKSHlgURLABXn4BVgF5mw32ilTq4ylIp3pRPEU/1VIXoLh7RC+23oAWNpmYScA0hbMZ6T9UzTrXuLfYTgMb2HTI8yPaR7lelX2cx239zj7rPVAQAj23d+9JJX792xq1MUnbKsrC1dVVprvd1mzDp3tb1wyALMkMbEcTfE65paiYXIZOa9u6GafqZGdu2v7VybXJmWMS2T9WR5T563sryv1cZjD4PDHkacDDzswF0RPPPR+l+HewE8vUsxOZ5ZPIQBNNQGIOKxO4J4DetR48hYg7sDciipeJfIvBNIwW4C7AxE9OJrQUIgCeNGQUXu2Q8WJ86xY2E3vP2zr3/n3/73h+6rhtJZdvLyk/dd94tRVwFALUFBAIAJtjuqCRW9TzPS/jNgSCuqN/WJdm/w0YEsqmlTDCJ0r7uwEiWGHHq34ZRFQ0SHpFG8QNug2Kjb8xAMacMkYp0TAeaitJVWNesSHt032wAUoSI1OrTzbZf8zYe/8UUPu8cvW/InZzwKfvnz2yf2jHGlgJRImPTpStdKp6S22ay3a92Jnb1kjmoN/MkZjzp+2RL/k866t13yN2NDO9smV6TQJzCKIHP9Tggw8HjRcY4dO5ec4kEAYJpu7agm/BPTjVi4prVvHdBBAeWDtMm3SSiRM2GvEyp3ogPS7g3/nDDtmU6pZVZATlghtkn3enBXppdMrzL9ysw07ZNPPkVn98nJOGs/+/p37h7e0SnLiaJTOltZWzlbRQu26MXWpXpkkRFXYijhg04pEDKhMFfdy16TcG98v2nnW9fsKiPltTGBh8lbvXmrJ2+1skz39MIzH/2wKtvhYQfuALBwJhx/uF53V19IyUkG32LFMWtozGUEuQhFiMdotIRBP8Og/PcdiEMxoBjFoVgknxztrdUFoBKnkEZdlZHydLASVOi7gHGMm0Pug/ikeRbHfNeqdZvX33H4ksUHfDWk1aM/+Lrbn7xO9shdnZGmnYAnW6brlgIkL8ZQcQ5bKRW3+ejJdwjgFxii7rLdMXtwt8jEzkZJuzfBBK7dGoBEmHQD3A2QRamtbAD7VRZNd7He3Ag5xpHxMZNsZxrBGt52BhE00ea1t925eu1xpywDAKX1Kz/xofXnPlV24YaJ3R1xpTgFSEIKkQRVFyNTw3sSk8QgCHYiCqmXzLHtaQumz3rlJ+oFdeOqNZvXbshJYfKCRwwGMg4BgVlYuKwqa110mnSuRncRgKhlJI3YKN5rA8guZPeVu2dyIrgrUgnuE74HLmu/RTqAO4sjdsELISxjBVpCzFD1RFjvI9OrTB+ZHmWOzAfmTp3x6A++7iAz+pvX33HPmts6RTFRdgprHbvKOR8Pm/LNOWWdR/uwQhwCejWXdBMyWTcnEzUw1Azf6ApKDd0jimOoOqjalW5p05PlvXm7r9XubbXaeQtNBscfBgsfRuNL/lBvf/vb/9DP4fd7EMKcqXDr3YBoaqfAulBNPyiRSE1pBoI1exi/n1aCIH4JnoIglTB4N93oN+srK0/rT0o4g2iu2/3oHuJ5+6Z7z3jqE4gOXHdkve25j1h2/Ve+AyIIjfYaAABUzI/on9ejTFubljItbTKtM6WNUsZ/DdyxNqQUKa0o8eD+RgH+g3ASo+Nrw8wk+VWll9AwGgRxIha4EvZfB3Qr1JjNMSYJTgSO/faFufZbd/U/hZ3j667+yTnPeHJPXy8AtPt6z33m0374pa+3KijFKUQWKYWDVaGI87M8+9+EKy98BNZIPUr3UXZEPmXW9Okf/8m3p0eR+87B4Tc995JydEx5Gj2FpopIbRrsEiMRDeL9ush+2WCQfa7Mw+CS9hM9NaWQLMi7vtYjl+nNSm9cFr7pv6+bd7TSWtULgM/5o1i5W+aKXcfZ2zq7HEi/ytKtT2X9yhidXXTpv846+rD7+gA5az/3j+/aeu/m8aIorbUcYD24tDdhvZEzVQUjX65JMO/ZAJiTylMBjvoAEwBEXQyMn+klnftSPRXsSvdkWW/e6m21+lrtvna7p9XGVhvabbjocTCt9w8NPb/v4+FXuQPAgulwzAK4cxAQ2/5SizhimWt3jmbbDZSvgxrd1NgsRWpU7uyQHIpXsLlYuLGfrgFwXnwT6jj0/pM+flP5+RIWIIkln/KN19W/uuXuNbcdtfw+s9sXLjnu9NNOvePmVZuLfQ2nbyTEnLQv6xTS/2vvzeMtS6vy4LXW+757n+mONQ9dVd1V3dXdVT0GEAUFo0ZiREyEqBhNMAKiOCIRTcwP8+Uz+oGG8CVxQOOnJJKgScQpQEwMoCIJY1P0WD1UdVd313zrTuecvd93re+Pd9jvOfd2092gRVfvxeX2uafucM6+9zx77Wc963mKrHPXpFR8/U8aocBE287MzJZZobPIhEjoLIbN3phuBJG/gnhwfNvOBqkWShaGlGZ6wC7KNRWDICbhEBH5jj6ZOEa2Km6uipx77PGfes0bfv63312UxflTjwPCt73xdf/+be8cix2xXWc7Yuv9GByEE/JGzt0/7JLUAFUnSAD1Qrf3rd//WjeuT594eOueXdW4+qnvfsPZxx4vSfkDEkgkYX/Kgzz9w3lGwqW/qKQC5BhIEpxhgBRiohfUpDAm9O8U4iY0KU1kSGml0ocqvveTVd+/p2RwiINTHxKiHPnQWieibO1b/O2m50T6ZAaRkOmTuaqcOXT7TXuPXgdPXCfuvOfOT35mXI2t8w27cxLE7Db+jlK3zjGsw9+ZromDHyiIb8A3G0VsoncsUkpqtoBaRkl7oXTHlN2i7JWdXqfTK7vQ6UKnC9fshD2Llxt0LkM9J8FdEXzDbfBrH/Jp9V1m65x11otzITOWahQjKIzK4ZQ8Bh1gQPNglEgaxSL7fPpgIub7/pjpAQjBUgxCBJ4AqBDcgZDPcgNwAI9H73jDj/30f/3NhR3bNn1CpPWL3vL6E6/+4UXuGBvZbUBCrMV5g1kiVKQKrX0InAeLCO7kQSHl8jR258yOWTFbJgqGmhgMkwEgOEeGtXuNwBDmwx6nLHKO7AgYLHaRQnPPICiERCgihCjETJnTV4LOiJjBc/y+Y3f+7q+/+/E7jz/w8c8UWrvKHljcfvXiDhG+OFxbGQ8fGS6fGa9WzDx9jRQPGmBBtL0c7O3OzpTd+W7fzw7+/Nd/+2P/4XcrVx96/q07brj2+LG7UKKSlRNzTdO5fSIi/uF5iI+dO0choPdpiM4wCqZ9wRqFDCkdg4RMBPQG3JXHd3+NpRrandJsPDJd4XdHFh06ZJGKHSH6LvuiHc2oIhEyM6qY1YXW+ive8vonibO4ePrsO9/w5uFoGHKuU8MeUjia9FRu2vY88zqtUIBCrAU0ZBcrU5g+rWdXEyR7Jo/xy0qeau8VZa8oe2UHej3o9qFTwjfc9lxj2309J8EdAHbNwb4tcPI8AJDAQMQ6WztbO9tES4uw8pkyxOK59dCkB7OB2LBHcCeN4iAgO0Y0D8mWEozGQ8KSgPVdus9gQlSS1PVh1hf8D0BE6Ozp0+984z/6J+9519Rk1da2Ho+Xzp5/5PFH53UpwkFUZ8mDe8Xu4fFyX5n5sqeJwqW91sY372FrKG9COTFU3FzQOOVIcTBsiG11GJ4mSopBNCMjKQzbhjRxGQGJEonpmyjomSsh9Lv7mLefvhr6OF7s93Ux0+n+8b/9jVIbow0Cl1qjMQDAzIUptriZHdX8mbVLj6xfWq5H8RsBQOrhcc6Ue3pzO/pz3aLUSimlvASTmZ11ZPmeD3/sjv/5p4u6M4KqYkfMEHTigt4arPmu0/NnbvBd0gUHg+T+AQpRh/dBBpNDfEJ2f0NTw6RpUn7hy3MvniwK773jnCQXZedtNgDRCSusCHHM7uR4eYaKgqhPxawq5nQxo8qeNvOqPPnYozLTXdi21ZTllLGMs/b//YEfP3v6jPXskwQ2ZoKEid16dO5NmdcT81V/w5/nNKDGiVjwHOs1bdrFZ+4xyqStpW5RdIty0O1RfwC9PpQlXLUVds1fbri5PPVcBXci+Jbnw69+yLtYK3YD5yy7ytrQajE7iuQveSkFOSE3Be4SwV3YImlkK6SAEdFbm04gewCXgO9eGO3DslW6H0CEPU0RlIUiQiIA93z6sw8eu+vQrTcBgK1tNR5/6iN//j9+532n7ntg5dwFsO5aPXOaR6xJl6ZQnfm6nqnqi+urK64ixKGrF7CvSRnPuWtt/GQ15TjHji8hu6dlrHPKkSIiF324GiOaTDSJ7E9+CkUjutilJnzPPEyiAQ1SumRhaZCdJmXpgR8LrjvSN2XHGKN0obQOLLPy2kQBYGJ0DgA6BnYN5hfK3no9vjBaX6+r9A37ptjSGXggiMdBK0W+53XM4HysNhsRMUKIZKuxs8Lg7fJzw4Y0m82sGmLMkEd5aLhmz78R+LAUiktJsX8nim8R1gOmK/98E7fuJfYB3HN8DydpL6h11oVRqwBYR4S0bmsCXHHVjDLzvQEaTUpddO6MW1e1zNvi/d//ZtE0u3Vx73UHv+5V33z7V76oiCj/4LG77/30Z2tnLSfpVE7FNN16YmamspbcRDsvDLLG9awqNeDEVDls6qpmZTeH+Hhwgi+YUoU2pdYdU/TL7myvr3p96HShKGCmB9/yPCCE52Q9V8EdAGY68NqXwHs+Co+cB1uXnU7f2trakAUUrGbSbnqQojsQx8nZ3DfvbP1ltXCNRMiIWLMrURFA5Z3gI75Lhu8SrMxZeYoGwFtTKkTx4ZuenwkrVMCV/Oxrf/iHf+ntiPjv3/lLn/7In0llkSUQsqSO8yWttBH0HEC321X9vu6U9XC4aqud3VkAUf4aX+tCG9+/e+YdQ+jdRGKyZ2w1uZqccrZZd0IAG0CXRRgUiyghheLfHLJ3l03Inpyhdph+ckcIDo4S13CiydfE2QMg3ybtKK1ih+qvH9LcO3x6WAILAUWKVEF6vuhqwAIIAGqQQVF6lIxrnXm2YFgBSt/Tf4IipZgt+6TtCWuwPP0jLUxEt8gG5rborl9dFpFoDpOxNDEiNYRiJ3xXKs5RdZyENyfm7Nzc0O6QJD2siGzQyTATkoiUSi/bsTZ669xMr+z4hgYARGDIbtmtWrb12K2urJy8/8E/++D/oLK47Su//Dt/8A0i8M7v/bFRVSWlYwpETUrHHMo5OU1OAnqKz/Y9jkG14qoZVXhuykzNHnIiPuNkykC1+03UomOKrilmOt1Bt2s6XSg7UJawax6+/cth0IHnaj2HwR0ABh347pfAY0vwvv8D95/qVFXXlrWzDS/RKHb9/g5pJM+8OxQFrBCVkAqTRiQBAhyzK0h5Z3MErMRxQvbGso8lXEF7loa9z5U0zoWc9JFxm1/OnT792pe/kkDQSdpdDGkVMQmI0CGi716ZVL/b1YOZi0Rr6+OuKbYSaUXaQ4bWRhmtFCq/7gMAEOKm4nPXzllyRDbu7GTj5mytl5EckRIh5JQ3ktgYiWwMITqIFyjISrxQHsPKawjWmE6E8ujJAIbC9pPEULs4IxFEBFIiXDvnXCNZARBEVEgdZVbrMSDMmI4/n4XzAIvDIM5TRABoma211n8fid8EwDfFlt1mxFHmxpPG0fnia3S75JD7AgHQozmMaqwFlPK0uyLd6GQ8sptC60IncA+D8XhUCChxZaKYlXP+hO2YFTlFtG6rlWq0sqW3jTvW2dpa51wKsPVvTfAeiLPO1tWH/uiDH/rgHzPAHt33s4fNqJhwjTJh9DjRvE9KZbyTTBTDLLvxQA18yIGOatFsvKxMMm1v2JhAtQenAVP0Ot1u2YFuFw5sh5c/D3bNPzep9lTPbXAHAEWwdxG+9+vgkfP6vR/p3vXAqKrClh0ry8ootuI0K43s0IM7O/9qFFIoFLtUiMmoJSkP60jgIb7yXISXx0x28eIjHpBSFy+AKn6YIlyFgVEUUlVV3ibQt/UMEdmFSdBxM9xjYU2BC9ZK3dnlryHFwoRe8qiN0sZoUBqUCnRLcD0GECFmYqe9nK5ZY4UmWyNczXjTQVJCHtmbhXgJEOiZ6Et2LCDRUhlVlgke9nVj+FQI1shkkj4Cotk4E3HMCM47uiDRuK6M1tOckmMXY/sQsVQ6CToD8xbyTsVGZaaAVHUdh7cuTh2C3AURvFbmidI/Jvr3Zv21ISVWXDWnSxaBzPNLQVgVVkiK4nB1gnPXhcd3r2TVxugA7qCU1wUAYrjhf4nMhKhBPLFGSOvVWCPd2/dKfFdba51Lb17kk+wvEnCHo13VFsRSJ/TjnBp2zk9gnC0NZDsEzUA14X6M0KOSqEBVolpxVYVqhzIqJpNMKIgo6P1zTsbEY1Jq0ymKXqeL1+2DV34F7NnyHId1X895cPelCPZvgx/95s6J07O/8QF75/3ONepdQ8qSD0ElLWTR8w+sYqvOACO2VtjDOkVYpwjxIFixc55dgADlWRcPHjCUkCCojIsPPTSCkAiQAGwre+eqIfj4EOCgEGcIljXMgtmmq2LFitkZrRWpFTvsF+VCf0YRKUVaKVAatGkAwmsxPUwxAyskZ8KlPYCX7jQnD2FhR0oxU7MEH1AyBWj4l/SQ7YitapJNA8x74/XkzZvFhmB2cMQHG3GQRaILJyCxjBSuJ4QqCqsA2RKWDS08S/BmgChpZQsoYpnIEUP8MuscSxyc5nL1KE8FgFocTp9+wn8zY/qY0NQswbIVGXE1YiuqEPGOlWEpIWReB3wPtLv2CplEtWtdaF0Y48Gd/Fk5/O4oA3cBYXDO9++EjUby0nhYKeucq33bzmxdgHiWyEcCePqowXcQBtlVDmyWJ54MlDJbHp5s29N7nroTAMqA7FG0jkHVvu5qK9w1XRVERKinWvh0qlOqUMYje1mUszceNH/va2H/9hbWU7XgnpUiumbXzD/9ruKBU2d++X32+MlanLI2G3ylPmuiVReRghREKPeRCMhIsXNHACSo2HHY15no4iV18Z5/99AfJ41+fzUEf6AAhDUoGyOH2AEQFASWmeJ2kGN2pCyTJlU7Ms4Zpe4oVvbQ4no16pUdQkJSoBRo1TTvAFEr5MHdebzQkPZFhb28j9gROyJFqIiIJw2Eo706CzgQK/zgeBkghKF470bfuadkcPbgLsn7amKgalDFQSU69ll6wMLUDF8RwWWrrTmxFhUs3jcyReIFx0QvJgnbsBHEm9NDlKuH75B8dIO6KDzC8DiTjXAzXIWMlxB2IMdHS1t011vJYzDPCRRWIt+jzUCG7zp17qYwBnU6Kysgapp3D+7OgQAQA1kvlRGB2tm7aH1cVV7169g5F+SMaeuKRQiAheu4a5ri9yyzX9RgES95lEneiWFD854FLeWx1xHTqYmjmthXohE7EbDCXaNVgnjy/XtUiypdGFP2uv2D+xa/5xuLa3a3sD5VLbhvKEXltVft/bk37Kns+kOPnfy9P1l+9HTl7KOfuouYlFPEGobDyrET8a06hH4UMMI6+qvuCXLGIUElbIU30O4oiF49ArmEBiMACEe7cgQAJyxhSulVNTwWKyCEaEhhDFD2Q05HrJAcs3X0iLUPqJkXzMwHC510LZ8awMAWJXCPLSGAhoSVOojfiRW6xqDGd6CZtySDMLAVOVGtjNlqnwUUH7xIzslAQqbka5hID0r7YtGfVliCry9yEx86kUMUcZZDs+mRCxEcB7E6+wlBNr4NZ69MMpQkmBHfg6jR79BP+OvmP7R5+j4JhHPvmlr4VLU6pwuJp3R/SRFR3h/Ppn+f2ETVutAGtQFtQGvQHtwVEE4Ta8yegmcR51zl7MXh2qPDS2GN1oXF2iBR58C21846kVVXcfIdi6coK87nvOeQvWG0wNmVyiZwTxHZC1I+nyQhexk3UfN02RE7Aeiasuh2jNKKtNJmy603FEoPdm/f840v6e7fiYVG9VzJ33ha1YL75oVKYVcNbjhww7Xf5ao6KTIe/8xdTuTEx+/48C++mwASsoN3NmeMOdGA3HDuEeLDJ1T+2rRp2FPrx1NtuwoTV0nprufqISGqEPUqvk3WQiO2vr0N0ICsRbGwY1JEWphJWeT/funEjVt2ldoUzpbsACDgOylQkbFN4O4IMtjTzM4pR86SUuTU5OIMNnZg0Z0GwIk8Xq0tubENChmQAOskAD7DOnIyMsHJZOWHxt5CAJgBQYI0vrlQaOI4/AwxPYxceO6HExRkSOQVjTGLKo8oCftrQd2YFk0bjoIjvZAqU/U02bMTxmTQxPidtcMz9XBWlfEqyT9rwEjRJHxXRIqU8sJHpY3WqBVo3byFzj1yWv4RMHvRjzhXWzu29cp4+L5LD1QuWt+kG837IFStvO37JLI7kceqNb/U6p/IxHXJBjTfyNUwiEIqsgjZgO8Zmod/RVVS+LQOqULp57/2W/c97yZC3H7z9YkOU4V57mQqPbNqwf3zFGqls7+hq77idrb2c+/9ow6qIDAJSyyAgESOfJO+SefuyRkkAWQc+1WeSMtkI1bv/U4q42oAkH2bH9t2QCRvX46AAoziRAScBiJBhSJeci6kSJwwMyliIrLs/sPDd7zu4PMLrSttCmtBG9AS6F+PEcmiFQBAAbO/8KcwXCUVZNXUCAlxgulOr/kLdjQUt6sYrLu6YgfAFDJOA6eEPuk04+ghnmHC8Y+LvC5FlftVT2n4/UntSnAzn5InusAkIDD7FJF0wTFlTZAHlTRe0KkzjbxNjDNMX5fOaslEGngz9rlDZnc5WOV6yY76yki0FUrneO9yHPeSGpMfb/sTWvVwsTU5UAUA5vAbdA7qelxXo7oaVuP3Pvq5taqSYAPnV5CSjXPDpNfsnGRhSROoHWKbcljf0KFz/pTz5x6SSeL4NMXGTtDuIYYwQr9P3kC1dPzkl3/fd5BuwerpVXu8nna5cf34X3ymozRmbgGeaqemYd+0c5/A/bE4JxLkjw0DA96NACCwNJ6RJxQQAmAXHW8IAm+jEP2oVgNK8KgJCOjxSCExifICGKQTaxfuWTp9hHZ7oXQzl1MEEGEiJMkSIDfzOsyqgZPUqGbKbhEnsuaq46MlAFBIR/pbLrrqwfWLFDn3zHW9CcObisTzXxt69nBBQwqYo2FyQ/HLNE0/IU+M0CNBohNOD03u6MbRqDTsisgEuZxU28nqrTGSi+Ce0+45uB/sLS7ocuxcJe7e0cUF3SlQcUrjCj8ZINDxkHyBKNrvhz6dMLsRj5w/KzsHdQ1VZavxsBqvV+N7ls6cWLto2YW11TBIaGYJ6aTl963yyXCuWE+S9kg6Qa533Ni2p3uKPDM2AnqyAyszj7CSmnDUklSHVEn6zMfucOO6BfenW+3xeia1ZecOfvBkyncGANqEk3GbKmdQkNj5G2N2TjgS7ugFFFH5nqSQ6Y0F0IlIJpmnbP3VRWFlAPeYMxfQDZmICNgJvefkZ79fdRwzEQ2Imomc9oqLp3gYQq/udYeJm7biKnYrrv7w8ikGv2IuDDJLRUFqyI5h0m/dw/RE594UprY981mL5wYJA1jBjQ95OiwwvldAEk8PSVafXSpI7KP9LyDbO50U8zFMNO8bOvfp5teB9EjPqXLorGXnZ5UfXj71NXP7FKJBSp+cHOsgrlBBQ3ylLJY8tjY8cGAGa6GuoBrzeLQ2Hl1YXT6zsvTbp46NXe1VoTzJU6UrEs5OWg37lDHmnlOKUwRvt7lJ8z7V7ANAmeUITsF6EWn3jJmJ/0qqQ7ok3VF6cddzK2Tji1UtuD/tQoStV+1ZffgxdBhMYACIETdyMpsrZ/zt0NpX4mxjLAwQeZigF0RQsXmXgODcDGAj7nuZiQgp8I0/iDcLA1SCgkggTlAJI5ISXmL3r45/9BU7r7+53rNtdn4BmiYctI7ULQO77D0Dp81VSX1f6gStcM084nrd2WU7fv/SQxW7sHgJ4hyzyP5y7t7hhVrYt+1qUgG5sXNXgIxsBfwGr8QJr++72ffdMr30BOGpTDbvUV4twL5np2gigDL1hc3SaVKsT7axnC5QJHOHl+zEkIO7R0yFuL8zO3SVF8XGTU77Rxcf+FuL1xCicqSRmHUY/7JMlGf5/e/Fix2ZwZN9EiYNYGuoKhgNebh+bnnp7KWlO86f+sNzx4e2zlLOWfJGO2ecJs5ezVppGgjbRsKfcBzyEetU2x7XlCjPiZ108Y2CmTxWCcl4QoZ0R+mOMluu2oNPteFoq6kW3J92qaKY37uzr8u0f48AFTic5GTSiBXB435D1MQuPn4JuNq/cjMKXoBV1ssLigiGzj0+kryFF5jo9Cmip0Qo9OoaQvHpeEs8evcjn9l7/qGX7bj21h37ts7M9ebmgRnYgD9HMINz4Bw4C9aCs9ZZ66xzQTzn2LngC+jGzg5ttWarVVfdN7z456uP1ewQkH2gNrJCso47pHeY/snxMjfddwD0xiM+H6gioQ87EW/MQCIik18Ylp42vPglTDCy8abPsI0ck2/8p6e3ECfKKbBlsvefsDmMzfuUFDJ9YfoSEdlbzqLAOtvcV4tFKnG/e+H4iwa7D/UWMc5RjQqjznhVxM6xU47ZkSMgCzGSAzhKZZyDqoLxaHXp4tnlpU+dOfnH5+5/dLjCMdw1STmniKaNcvVJ/WLuAuZPLMBPQL/kt2P8t494pEYSE/kZE25M0O7NrJVUh3RHmb4p5vfsVMXniepua2O14P60C7W66pte+vgf/akfuHmBFyESI4HD4JuC0ExQMfIzbjMu3qEA8bRLQeZD4DeL0G/Be1oGJtv5TW+LiAClRaHkChBy/gAQ8YG18//6/nN84mNvOPCCr9pzaHEwq2bnwBSxc+cE7tbW4xCCXPtMNetcZe3I1mv1eNWOl+rRp1ZO3zE8d64aesT08K0AGZABHCBz3VPGEI3ZcWM80JhMYpZnjWECkDQ2FDt3SGPYJJ1EySiK5tAF88lkTeO/ZxrhQvPjmopHfhLcG7DmREBb4boB94m2PVfLCMicKgdUrLN1uRNLJO4rxx9YOvHJ9TO39rbdOrPDWx0oJEPKMlvHRI6cJYsIWPjwdhbQDC6bplZVvbx0fvXSh07d96sPfRIdq2Cakw+WJwfFk6D8RHL19KHXoeaMzabIDgAlKjPJvWzs3ydGrBHfS8rCOpTuajMou1d900tbYcwzqBbcn0kNDuwe9PtBT+Z9oDgyyIIICGx95+7vnxLMTHHxBEjkUKBiTkM/37arRvAujLhUj7N2PtD0gqgyimZyP4iz2348ighxFCkAAA744dVLb/j0793w4PYfPfTir9xzaLbX16bwF/5pPb22deWsB/fK1pW1w7parUbL1fDOlXO/c+6ex8ar/lSUJ1N7N2OKuCyAwvbqcu5UtTpmV4lzGziZkN6HqAAtZFLTyLY3fXfs9AOrNL30C5uAO4L3ipi6VshrEtzjTDWzkHMhgIL9WyL3s69qWniPU3vLmTFbly3i5xDvv/nD45WHxyt/cPHBXeXg72y77ujMNo/y3qjS+d+CtpWtg52nUhRn3baultfXPnLqvv/nvj+9+9KZWV0c6MyJUNhXbSSeG6cIsBGj3aRRTHrWZ+1wXpWSSTyn1O45FWMirJtNaBkfledzUymlUwV5TIjQU6XSA9OZ6fcHB3Zf7lf8s7JacH8mRYXZeeO19pPHaudEJASwYQiADk0oOwIg37l7lM+2mabvDLy881tOk/ZhiWYBl7HzKg3xAADyht2LuIEik5PvCnlMZBAQv9wJa64+Vw0d8CcvPvo9n/gvR+/f+d37b//6q25AgKW11UJrx6yQauess2vVuHYWAFbGIxa+Y+mx/3T2ngdHl8ZsvUdYMhJIP5QBFQDHU45HmZ2mf8GOxuJqcZHn9dctiWkBSV5m0MxR87474+hlAqAntgcmhCv+Cwn91CJ3OwjvJPzPf4emB89bXRe9BPwbA+c9OwCkuCVDqkS1zXQrH1e0mViQNyw9HR9efNvJj+3vzH3nzqO3ze9aqUYzZVdA+kXHRKdf741RO7dtZo5B/viRu9998tOfu/T42DGDXLDjLbaaUQXIxBOZBPfmwmK6f9/kfaTdG6lM8s9ppqwB0ykie3L7eiJ8RzJEJepOhPVSeXDXBameLnpFuf2Gg1SYy/2Kf1YWZhRuW0+j1u85cf+P/qvzK5eWq1HlbOXsmN3Y2THbMTv/vhauxdXMlXAtrhJXMVfiKuGaXbyTK3a1+PubT8YNfugEsOwqAFBItNm/NtYI8U7vjU4w8WHTIyMIwInR8rKrvKuq/8KCVFeZawaLRzqLO8s+i8yp0oVtT75Yjy7a0bqr7xldfGi4VPkgHhDPUQQuBWPn7i1TICTt6WhsqwARITTv0z0gJMQx0VTED2YphhlNPRGASfkkpCHE5EA1qubj18a2PbJAkBEskOaiuWc9hAdppaFlwsHPDnvyeixQdUiRHzyADyqa1INHwA1USbw+IECD1FHq2t7ike7WPumFortougpxW9G/UA+XXUUIp8fr94wvPrh6ceTqip0fA9TMlbgO6f3lbDoYUU0/IcDPpqOwafPOmXjGv59VRX4llDfsqROfwnTzxLSMaQaquqPCENV7+RZKz5bdLf3Zg//yh3qH91/ul/uzstrO/RlW7+Deq/7aUfuxTzHI2CqFhK722uRGoy2oOGw2UdJHZuIZircTL0/k/P2BoskoF0LVIe17wEYkM/EGAkChbQfyu61+izZ+yM0uaGCrR+IGyngYTQjFzPcvn3to5UJBtBE5HYhlVwsbVEiohRywE9KRqQAR9ma/Ihs7dwAQQAM0q8pK3BOxt0Nxwct3chHViUDowSVv21P3naHzNAMeefyG1YHY+2fPr1EiJmEiIABhVNNz7Pqxg6pLmibOsphibAtUPubQ97yusdDiKUokYa4CLGMskQZ6eLh8erzWRY0ICggxPH7/QG1MPilQGUX+6NXIhikYXUB2HDLfyqZ/n5RsbipXd/FM0CGFAFYmmncASK7rqWc3cZRqkDZTyzQNvkEKqhhSpTIl6Y7WXW1KZeY6vb1/7Uj34N7L/Vp/tlYL7s+0tOr8va8dfPZe69hQpYlUjYSIFiDSv7W4MMAUhzwtgQ/cQpi4OiIkcV4F71G+ipSuh+YZVXgTykoadQ1lFjQiElj4CPc8AfEY6Qgkj1KCD42XBlSYGJJAON0L51qSZNuCAt5NnkU0UjC7RzZCdcB38bjjTy0M7MeqISQWwM9QUdycKhLMJUzpGtMzpdJ6z2BeKzVTdglpZKvVaszsLgzXTq0uLVVDJzLJq2T/jRekU903NmtaME3Zh8+HyM0ETESE2bK3dzC/2BsQUt8UpTbMvDweWuseW1+y1g3ramTryc4dCHDF1Vakzix/7QYk5di8K8QOqMznNsbvpV+FH5d7eRAgBFQlyJ+pSC1skArhh8bLe4tBelKcgXu6SpiUNgJvsoiUPGG0V6yv2VFiePRkAF7SxmQfNhTNNL6H5l11/LKSMl1lutp0ddE1pqOLQa/X/c6va0epz7hacH/m1blmz8EX3Hb8o58wY6V9VHFNBAjWt3h+dueC9pE2kcBTA+VhwZU43UZiVwH6M8R209NIzXUAu1o4W7kMohQCUAAB06NFAaP4KSLHjpURUBBABlT0lTGR+thIdGzeDmNsAEPQoI/QI/Zxg8JWpBZXxy4+PcjInoOgnzzDrCpzmDNK9YrOXLdXamOU1joEASJSUXZnyq6w7BzMH5rffm595TPnHlmpx14D473YE7hLA9BZhgYABHBvZgMQDkVe4Zki4mzRuWXr3m392UIbClEYwswOcK7o1mR7amvtbGXt8ng4tnVtbd7CX7RjG2OjPXOVX5qkbl0H+gI1htRslSF7sCON5BsGYgrik57ckhWxIAVTJSzZmtXU8GCCfP98zbv2njBx7LnD9M7W6wxQTKbiTTXseY5SspEJIkiaHKgq3VGmp01XFz1T9kzRNUWv7Fzz/FvVNXsu96v8WVwtuH8BpZV95YsGd9ytkELgWbScRQRwQMwESOLie6BmPTUIaXzDnqF8c1sRKnFG6PrOggUZh++DSpwCVNJMX5NFQZqgRpZGoqI8t00PtMyyq+ZU0SXtX4HNLn4+acxFmRhNADxSoER8J4eBc/CNfC2sBbVwLVzHJDbKjC2jsQycHC9f213okFoWmzJCQcAxIzpwHkybrJBk1jhf9r5ixzXnR6vHLj6+asfZ6Kg5FT0huAukqcDUDlS8NMGZorx5cffW7sBog4jMTgQB0NuzMDtrnTdp8dtGXWU0Uk26ZrtA5ZDr+0eXkqImTVPdNKxjgTpeOaHKkN1/GByAJ+YoQNAYJzRLD/5/CAJSIRlxCHDRjftkYFLWOdW888SMFKbUL8kwIO2RlqrYaXrHR5cIwZ+KEsNusjFpE4+XwXrmLpAgXnWU7umib4qeKftF2S3Knim7va571YtV27Z/AdWC+xdUxTW7dz/vlqVP3bUyXGuctOK/anQaSTEROuU1keI8U06MRE75Dj18mKE8oRKnBLXgNZ15BViJI0Hl15Fi/67iYDa18F4LzxIMF/3w0AMrI5IIe1wQRIABmYEqOqg0kYKG1Z62ZoyYDhl7m5Dd6yWciEMK2z1IStgKK2ElTgvWQpGLb7yL/Q9SiKfr9b4uClLB4cvDevR0FFHkI56jWWPm9cizpnze4p5zo7Vjy6crcRMevNk+UZiIAgBAshemSWYmfh0UqG6a37mtNyiUYREf3+Ea6Y4PrnPWce3qGGPURIIAwBm77kMn0tDVd+55264AO55bJ9JIBkhNUjH+Q0JSkcRXE5Pk5JnvH1Lzm2IAI1IJEWDdKPETpgfZfj4l3ti8OxCNWKLO94+SCUyJ6khvy4nxsgKMMRoT/Xu8J/EzwRQsadhDYB4qQ9TVRd8UfVP2y06/6Mx0ujPd/vxtN8A1rQLyC6oW3L+wUgTf/bXzP322XC4KY/S6iuAlAJ6YdoSoGAN6epF1nKwqiQL5MHQNyO5RXgkXSAu6rJizf8LYv7MOLbxvkJ0Hcco6d06euijhR2fT1C26OyBTkFJRgoIAiFMsduOK1bTDEdk9XrhAu4tDcYJORAFaQAWoAWtgDVwBIkAYFfizj4/s8DknATElrCyJMLEi8lhvlD+qYl3YzxUAEZ8LxyIyZ8rbZnf+70uPVuwSSOdteyC1AQXAxVFqs+MqDbYbUrfP7eqbUhgcOq8xp+yUTUgA4kRqW/t0aRecFCO+hxmjssI1hAuX3F0LAUtUSQgU5UCbIHsSGqkpBVT8NTXebf6qJtEvKEZII1mRM/V6kvxPNe/5NUQO7hAMYRJeq4nOPcL0quuM2U2B+1SqtUaadmlPyE7a3/DIPii7s93efG8w2+t35mbhu7+2Dd/4AqsF9y+4Fgbw1ld3f+a3yyVtlNYU20wBxVa5kN/ki5IK3mfjBVoGlaASJnYq698Z1ZHuFguswanQtjs/U/WfrxgVsRbWoUFmj56JZPdmuYltz9t2BBwo01fGi2SSDCMKfhJ5DRMDxgjoEtIzQCZo93BDC/nO3b+vhVGaUUGYEnutZIAl7/vovH2NQ1ZCxFg7V2gDANa5QBaHnJHQ2AdIYlZItwy2f3zl8dqb1EdrRgRQAW5QI4GAfwAednNZPQAUpG6b2eGZJWDnk54mqLYIpkRUOzu2tWO20WEx8+TyYXXNolPiOnTobQP8JaGnjgrRjHBH5YNVJ2WvDaGUXWalX5Y0l1Oihdap9kc7QT9Hq/3EvE+hfE6tJGljZu9FfrJakjra23rv8AIAhieVUe35eatIp4RwQxfKN+/hRs+UM53eQm+wMJiZ7w9wfh5+4ltgvn+5X9jP+mrB/YtR8334x3+X3v6+xXNaRadzANCWKrTERM5OmmT55j003Z6+yEepil1BdNtgu4/xUx7NpzkZpwG1eHBHFb5PszbJyXJgk7YdF3TRV0WPdICMyOdO4QUEtl1kkpMJWJDT7sChcwdxKEpQCVrBQD2FMxmQoIdXj1BOyO/IAIAwMopP4bDsPKaujkcA0DVF4h6aB5Y0eSJet3Ndd+Ge9Qu+9yRoNCcphFMAElUS2XBxIACgAK/rLmokJwLMPvaksRSGpJ0XEVmvKxHxubXhrJOZE0TPRbbCFtibKYaGPSKm2dC254S7CisCFLL3Nuwu5MsK2QEBQUkTESe0oDvn1eiCHU3t6+bMTLqhkcpMqJ4z6Sk6I6ySRt78hTN7jq2fIwDjY/Amn5p/y6wFVEG6VP69LkgVSpfazHf7i/2ZxcHszGAGtm6BN70c5nqX+yV9JVQL7l+kmuvBm18B7/3fc5+9F6MQea0aVdYaV499X8ZWuZCD7HdZPfbVkZnx/bhGubm3Y1RXfWUQUAtqRMXJvgaVILFTgIrCiSF8obAWZwVtlCSyTLXt3rsAEHDN1X3SJSkCSms4yePFVzasy4TSGMdxGAQznBEyiaJRiFqoFqZw3opXJOKI0culETgqtaNvjCChNCKduC7qKlZEkJSLDdo2ju1OeKDMVtMdshUADaizFtIDPQRwlwTuHn8BsEd6oA2LOHbSIHtDbKdziQ/dTn6QEmVEyXwmGQIHSeiGhj0xHuGBNTzMJnPU8B6TQ/LGzt1PVkUwb949xW8KpOiRAGlfN3ecFwCNE6ec5nbUNfptrNSzJ3DvK32kv5UIT41WFOBUz57APWyfxgWl8KZNoXS/7HhkHyxugaOH4O9+Gcx0LveL+QqpFty/eDXbg9d8FTxy4+zvf0J/4pjnr8dUa6sU1oqIbBYhHTloT8X42akh3H308Fd/z7ePf/53Hl46f268JgCaUQkSkJLY0DESouGgRamFvO4w3bYipgEvccJ5jp1v3hd1p4O6QKUzGUYeWQdxctCsa2I2Tc3Gqi68j8wMoO/cXbRgTGtc0WnHAcMYXOqdvcsCe0ez6COW7RWhgHOOY6Oai1uCO2/YgxfZVfTP1UMAaNTi4JlfVSABgF8JTrBei1hhBNhuehJcEDAk8EF+HgHIfgqn6S5A7swlmf+iDYS7JNp6io82eds+ScuoCPFhJSoie2RmGg4NJn9fsXkX9lYBCACY3M2mhhAEaFCli5sJ8eIkzVJiAOhORrAUpPqqONBb2Du3OPtj3/Y/f+23Hj12D7FkUn0yROELA7KbjtYdbUptSm062sz3BtsXFsvbj8Dfuh32bml59i9iteD+RS1FsH87vOHrOyduveo/fUQ+ccf6cGhqpYmU9XQNkUsQD0pYIzGhaLr6xc9/8etefdXRw0rr8Qu/bO3b3jQ6UwvI2OttwCnBIKYEVII1smaOtAxpcem2nUR2GxbfWWLbDgAGVVdpD3/5pG7DRg8IJkObnJPZpHNnEIdi00zVU/8ZrHt/NOCQCDsUa4FdSB1CCOY5EjM0/KNAhBAtCCleY+oR5qEcIrOqgAbcKSUvGyQErKIPxFhcOlCI6EBQxPvge1e1cPmAzeShUVVKg5Lp/jjREAFwHCwKig1CwHzquBHWN3IyG3wmJnRNmMG7R3bPmDlkJYIIBVGk3cND9d+2RKXimc8/jCI78RSTWvWicYBRZZOkoQa6WNiy8OX/8e3l1vlbXvbSR47d8xfv+o8P/NnHsXbEohE1qo6KzuzaxLeiY4p+WXbKzt7n3cyv/ArYv6OF9S96td4yf2ll3fjBR8d/cVe1vFq5enhx+eLxk0uPnh7X1ZCt2jrfv3q3nunpmf72W2+4+itu12WhsiCx88fu++Br/snyeK1ybsR2zHbEbsxuLHbErhZXi1hxddO/e7OaKM+InIANlk9s45Kkf3m/bH7/zqKvIOjtkuMKbKKTkWRxnltoyXRGaPCWSppu35Wnh1cLV+zG4rylzFhcxVwDv2z7oU63M1P0iHC9Gp+4cGa9rrzxcbZIlUvvG3iXfNjbuC3yvOpoxMD2ojKktptehYwAmvGcHfpHUokbs7Mil9xYR2udZk0XJw/FpL3ihHs7Qt90rt6yvVeUjrmy9era2h+dvhcEmtQhUmVGd4S2PXJH+RBVTxryNJ37EwhmIBNypquH9AfwWLX2/ksP+kCYeNpomB9/ZeNv5DulvnnXDdY34N4h3QkmMGq27P+NX//nW45em34jbK0dVw9+9JPnPn23XVm3K+vDBx/lc0sdXXSUntu7a/7QVZ35uVLrYnagn3+4uHo36BbW/1Kq7dz/0kqr8tqrymt2c2UBQEQOZH60aTNIl2bTcMjF6685dNvRez/+6TFazaQdKbQquE56GoetoG76d9LiKmEdwd0HuU0huzcQ10jbTa/AsOyegxpsJoIUiZxMksqEnj0xM+w7d4vsI5+8FHKqec/seyHZ04/q2jruz5XC0NPF4W171urxQxdOj2orjW9MZv0Yu3jIWJE06vRc83k7vLG7xePpFtMRwoM3H/3qn3wDAHzoZ37x+B2fQ5Zz9dCD+53D894xJtkjB9CcbHuan5WBOyB2tTm4dWe/6JBX9bBcWlmp2SKgoSgVb5IowjXERo+BSMh8ns4dN6wyTT1Iz7lbQSVCgjtMb0CFZ2b8bDb7KYECSrtIkz27yhQvVKLuKt0l3SHtm/FS6UO3HV28/pr8AZDWhdaHv/bF1770hW5c+ztzMg3jVRkWpu3W/1KrBfe/5FKKus9kyw61OvRDrz79uvvWxyPjlEaP70RACmrPvdTCWthg8JL0+F43IhBvOz6x++45EB1ZYI8sagLcp9c1pwwFG5G7gLcf4Ijsnmq3IA6RRJwgSQrGAyQUvykb3zsUJXxuvDZvOuvVmGL/SYRXz28f1dXDqxeqoG2XtGrkGYgn8m2XGCthRfYX/VKbQ7ccfdFbXrf7yHX+JPodv/WORz9375//7K8c/8yxka0fGF6q2GkiEBK/xyubgGbzg+IZBZGMVvvntvRMSYDD0dB/DjMPbVU75xntLA+6Sa6YAHegjdNUaprr2LM/QfMeD0jcy40CdiVkhZHBEs2oohaXCBk1ObNN+G4a268JobofinZJd5Tukukq3VGmVLpXdg790KufyPuFtG4jrS9vtUf/S7fmDx/Yd+uR85+9d3k81JYUEjlUiMqB5rT96GqhGtl4ZoYp35rJSZIUnIYAO4teeCWTB/eNtAwm6WG+4ZnCPLOdRnaCwWRGxCEqESuogK03vUFWgsgAMNG5OxSLxKgsu6GrH7t0YbHbT5yLh7OrBosiMrL1ydULAAAbZJoAk817s2DJ62L3dOe+8Td/bteRa3OUIa333nLjK9/99sc/d98f/P0fPzY875J8v3HNfDJwB4B9MwtdU2hShFjVtaQwVZHz6yuWecVVYYI6nSEXADRnYyZHqRT76yByVw1vFh3zETNp0/TJOO0M+x2CQvjqcvaxes2vcUXfSpps4eOi6SQzMwnupqu09/bq6WKu7C7edN384QOX+1XS1hOWeutb33q5H0NbmxcSLb7wpvX/8QnNkHGsAIAKIbRgSL71I2wcppI5iQ7qYzKk0ibh3u07v+NNb7z08buKMGzUhsLrWaPSROlNEYXWntIlPFFs9jdpKoN3fDS38ma9cfE1PKkYxeEV1g5lVpdORESGttKk/Cq/fxNhZkGEVVtVnJKhN75Bc1vAn8POwPhFP/yar/6mb0CiTY/tzM5tn6gv/O6f/Hdw4kmffFFr4w+S+INK0ls6fQBgZsdcO+eYLTvr+Nz6Su2cX5RdsVWSAHaSghCbFc2oeY/u56QaVCWKH5KON/ydGpUhZfxvyltHkAq/rPhripsWKCCg1F9/0+seu+t4PRyVpDuoO5miMWjPUZWku6Q7SgXixRPrKtzoKt3Tpq+LmaIzV/YWu4OFxcXr/+WPqEH3cr9K2nrCajv3L+kyW+auf9dPnvi+t3eWlsrhuiGl6hECasSwicNcI9fiNHtBJGl0dVqY3JAfNL9tyzve/19mBoPf+tCnLx47bkgV3s8Sn4yWyZR/2Z56+BEUvGWiCNJJ5GQACZjion9o2wEYxSFZJItUCVlmDHut3LF15n+AiXbY2Zk5vno+l9A0eUsbzAYYxIpoo68/cuOTH97rj9yoisJW6xDCZiWqVAU3+3z/g7Z1Bz6OCuLlQroxdjakSAvkjokmdO6NhDzXC0aRTCBn0mlbARJGlgaRgDCdQRufe0inzqTh8VdsANYJbT166Ju+69v/+re8/E0ve+XFs+dzu3nKslwyTiacdRrfG6SSdN8Us6YzW3bnuv3Z+bl9//bHzJa5y/36aOvJqgX3L/UyW+au+eUfv/iD73z8/PlC6WKsDKo1W9XiLHNNXLOrRRXoKlE1O2+qnqegxbAFmN26+H/9t/+4uGM7ALzk9d/x337kZwrAgrQmmrjSj8110IdEhynJHcClUciwRIW7vwFIkZOJWMmB6olUu0UyRLXQjCqsMMZMvnPjtVnTSXNdjPtgiLivO/fgcGnS4DbcnsrWYAEnTCJ7rrrqyY/tnquuYnbOzxEmkkzCA8j+GxD8YG9RmCuIynFpHtBSNUxWXCIwr0sWCVLIMJNUZhNwjzPVgOwZORPHnhQX3xrOHbOdicw+LP52uGZkEFb0ktd/RznTL2f6v/CB//zWv/nqlfPnIVq25ZvJeTyeiYRSuubr62K27M51evO9/o4t2+be8X16YfZyvzLa+jzVgvuzoGh+sPDOH9zyrg88/L8/c3rpgialxmTZ1cw1u5p9Pp+rmCtyFbtKnGRRagKAivYevf4f/tLPLezY5r/n3hfepnulGblCKUMqAUdsloNReLZeH8E9BcV5D3ef1BGad3TCLshj2AqgACW/SgYBCW07kWWF6Cw7iu7q/m2pHg5UmQyHE8YSQnInn6qUT50nWdNTE/kygE+8CsHZmZQeM1hPP6gOXgnNPf4zlutR+tFptKsbc0Q/TfWMSr7AmaSQm4C7DiRYhu8R2VVIVmkszRq9kIgTRnAs7Ara+8Lb/ENd3LH9n/239/x/b/iJR47dzY4hWUAjIGC4sAhOjZ448l280kRzZW+hN9g5v7jnBbfA614Gs609wLOgWnB/dhTND+BH/vaOB79sx3s/fPyjnyxXLq3WIxBYt1XlbMWueUPns+sAgJRShb7uK7/sBd/zrXuPHs519Lo0swf28r2PFKSM0h5NMJAz+cZjk+M85eXihB0nZMcI7mSFKbpdYvYGhMzCKJbIsBqDS2FVU29rripJAYAXrkQjAtxbzjw0urTx4Ei8zpgAd+Cdu3Y++VHdsWtnNLppordTAOGUFlIAru7MeWOyBk8FAGTdWTuZauRPriUqBd5sgKIV1/R2vp+L6A2wrgLiE00y6b5nT+EBlFm8xV9WCNizwju/7GZdNunS8zu2/cB7f+mRY/d8+F/80qN3H7d1zS6oaLwNb/am/Vm/Z4pCme2z84deeLt71Yvhmt2tfvHZUu0S07OtrBvef2r9Nz9w4uOfFeHV8Whs7djVlbMhntu5MVtUavuRa1/8ltdvO7TflMWmorS1cxc/8J0/ri+ulcozM5F5b9xU4mU+c+rfG2QXYY4LU+yV9RxkiJxWZF3NwairFh6zG7EdiV1zdsVVS268ZEf+cmFqCbOr9JQUJEQtgZwYL089kWylqJkK7D908E8+/KHBYPAkx3J1dfWrv+olJ48/MBVyNCm7DLW/M7uZhEYEYM3VG1MvBGRelbO6HJDp+a0f3xd7ZKcNzHuA+LizSuG9ijPtDeDuPwwPM7O5F8tuZOtqsf+y3/y5/taFjU/crxqdPX7ioz/3K6eP3SfMJakyqtdLrQtlSq1nyi4g7n/+LZ2/9zWda/ZAG53xrKoW3J+VJdatH3+4/tjdaw88Uju7curM2NZjV1fWqu3zxY4tB17x1dtvPPR5hcZLn7v/L773n3d8khSSIsppXD9F9fNSydl2D+UcYd1DecT3CO4ZrLNL4D5mO2S74qpLrrpvdDFYq0/mSitARCxR5UZm2OSvysnxij8MMLVpFdPjHMg1hw596CMf/rzg/pKv/KoHj9+fW6dNeTAAAAJcVc7SJhtDIgJDtrlxrpOGlhGAQ52FGWUGZDoJ3GMjr1H5ieUkuMdGnkj7RQSP734uEvFdUejlPbjHUSo7Fieucm4k9oW/+FPzRw4++R8AW3v2zvtP/t6f1Gcu8tmlUplCm1Kbwe5tRuveNXvV867rHdrbwvqzsVpa5llZqFX/+gNy7VWzcf0VsvVXKgp6aq/GucMHZg7vx/sfM1prUrlfMSRahoMvTbrqdyKO2bGzzIrYsSNmhc4KOo7ktfgcDMxXUj3h7k8fJ6sVK4Ig3qsyZsCiAvQMuI05q1MkibftTU+hcWfMHBEYZP++fU/lCOzft+/e++5VQS2zIUU2FoPPas3593DgbTO+bmKm0xbrw9Xy0e5WQkzMjImKlAl8z5Bd+TvJy1KVohzfG3DPk78iJ8OW2ToCAHXNntmnIEInrXfcfHjbjYe4qtNTbpJJ2iXSZ3O14P4sLlQKn9H6a/MdtLrlTf/gzh96e6m0UUpFfE/SOo/sOS3jUtvOyjpn2dWIhGwRidmCQ/GG9T7iL3rBe6vCCEZLdnTJjsBvTgkiYFixAWRAASIA1SymAjR5eCAAu4u+b94bO4csZogAu6QP7T/wVI7AoX0HPkJ6zC55WOYbTB7j9xWzNvjpxp+XbogkcHdpiTebqV6y4zP12qxaUAnfMc0qycvVvZg9dute2K48uBtSSimdgbufiygiIlIxBkZiFFTtnEJ0KDe/6TVP8QQPAKTVU//ktp4t1YL7c736117VuW5fceJsobRWyid9h35QIHXokCarEu5xztVEyhExKecIkZAVIjETuKSmFADmAO4WhQBG7O5YP+dEgsu8DxVB9O7zPgxPxZCmtC47ZTSfnA4h8yJQSAaDbeG2+cVOWT75c++U5faFxRlVFOjt2LgWptzHBgEFnDBvMMtMP9oC5ysFiZBJt+8ZLe0r5yiS6RO5dF6UQkpjaNVVWF9SRmlNyiilSSlFmhSRH3oTImpS2gO8j3UU8YtUhBYRykO7+td+HhloW1d8teD+XC/U6rof/PZH3vJvC9KFNh7fQyY1iF/C9Cl3oZHntJDptHM1WeVsHawR2CIiutD4MwiCIDAKo/iFplrkg5dOjNn6zG4M4d1AIr5/l5igrSTpdqJ9WDY8zDxvgzbfb/B7OXmvKCyc0qsAABLxSURBVF/2ipdrY578uWtjvv4VL/+tX/m1tWps0FXi6uitFkh8AQaxIJQiqCcDoXycnpf8N/HTWU6pANRi37/04LduOaxUwncVdoUilMdunTygG6WN0vGGx3eVUzFaKR14+BA/65ytHQGAQ7n+B74d2078OV8tuLcF5TW79cHd+uT5QuvCGO2bQkTw5rHM1tlmuMpsnbPO1c5qZ7X1jLAlRGJHLoptoteYE1HIhEiClfDvXTwuItrHAwVkF5KwQESIIUEbUQklJiTqIQPzLgBbdHfMLiV6+/C51LZv6cwcPHzdU3nuBw9ft6M3c9ZJgW4sNpkcpAa8R9p37uCfFcQnFz/2jmz5VoEPD5GMpamFf+f8fa/ZcaSH2NhCBMsBZZQuSGkVUL5QutDaxPcmu6KiSJrF3xGB31Njri0JVNY5dXB3ec2ey/031dblrxbc2wLUau8/fs3SP/5VWhkbpY0pQCsf3aFEFHPhHERNZAR3W1tVOaWIyMbJngu9dlTEqwbZERDgf116GAG7pB1EI+KIjDkz45efVNhrjQ17nBn7O51IX5m8cyfA0LaTufXo0bJTPpXnXnbKW2686RMf//ga1gXTGF3UvYQpZS0MwBuddZNWJ4F7hulNgh1FRzAGef/SQ9+29TBlfmE6IrtRulDKf1hqXWhTaFPogO9aa01Ke3j35zKlgIKtg2JW1opIbZG2zB74qX/Ytu1tQSuFbCuVXFpbfetv9NZqVZQQ8B097w7sh4UCzMCOnbPWVtZWtq5sPa7rytZjW1fW1s5WzlbOevX9yNmxsyNnx2wfGC59cOmEyxjqLCvKe6FASn/2CUoTPuCTj9aJbDc9L6NM/rcFqi6pPdt3vO0Dv7O4c8dTfOLnHzv94y971SNnHh+yHQtL04aDgJyrhwrpSdwoh2xdlkrq2XYEmAhEBSREjfRNiwcPdheCqDy8mULpQunCkzBa+wi6QpvSmEIbo7XRmpQCioCO2NwWBmuhqsbj0fqMmX3ra9T84Ck+8bau7GrBva2mZGl17f/+D4MhQ9mFwoDSABE+MnAHZ8FaWwdkH9f1uK7Gtq5sXVk7tvXY1mNnR7Ye2Xro6nVXr9TjP7jwwCpXLhqZcbSYt9Fu3r81OXCk8AmQHQAY5FBnQWWB0Z6W2bt9x794/28v7tz+tJ74hcfP/OTLXvXwmdMVO4/OnmNxAPePltSED4I/Uk1M1ZCdA040Tp5wrSedexXigIpXbTs8p8uuMh1tSqU72pTK+G7dUzGlNqUpSmNKU5TaKKNBG5gCd63DqddaqMYwGi71aPaffCctzFzuP6K2vlSqBfe2JoqXVtd+8fdmHl2G/gwUJSgF4PUuHMDdBXCHuua6GlfVqK7GtX9fj209ruuhrUZ1PbTVaj1ercePVWt/tnxq3dUR1r3dmGQRIjEUMCaNMEiHNExuMOVVEN3U26qAYvMOCDhTlP/0v/zGwdtuegZP/P5Pffaf/Z2/v1KNOeNVHPCx9fM18yS6N2sFvnP3tFJKQN2YqaTicpZC7Kvia+b37y4HA1P2TdHVRalNx5jUsHeKomOK0hRlUaApQBvQGrTOwB2AFIiAszAew+qli3vn577/b9Nc/3L/+bT1JVQt597WRNH8YOYffRs8fFb+ze/jWKDfB6VAVNO5KweWPNKRiGFhYWa2zM6xRecHqlb4sdHKR5ceuWTHY3Yg0iHlo7RZyKHEFj46FgBbzKO9g0HKpjYvAKAFB8oEtIsuuEdvvfXATTc8syd+4KYbbr7t1mOf+LQLunUQEOu3+YFxsw0m378TggHVOAcANi5gce02j80DkQ9dOlmQWtSdly4e2NdfCCpJz7wHtt2UxqApwBgwxSS4x6NiLQyHlYyLN79qYd+2dtuoralqO/e2Nq+1i5fe8xM/8zdGC3v3HaROFwBABNiBc2B9515BVUlVjerxqKpGVTWqx2vj8ep4+NDKhT8999DZet1G0zHO2JgUCxXDobK2PbbwtfCqqyaWiWBC6L7d9L5ydk8OoLNbF9/8+785v3PbM37Kl06fffvL/8Glc+c5JNCKE/7I8qmzdjh14ZBn4XZJq8a518fmTYaUQjBkV0B5IKpfa9pe9v/69oMHZhYHZbdXlJ2i6JiyUxSmKKEowOO71qA0KBWdzYRH66dO3P/B/vK3/cxb+gvzl/uPpa0vxWo797Y2L12YuYWFX/zPf7jn7u3ffNOLdu05oIiAGRwH5p0ZmFnC/1m4tvaR1Yv/6/T9Z8drlrlApcHnaEvM0fbvKcE6i1gkLWyFEr7XgApwhJSbCkCmMEeARdOZ06WOiaNa6df96s9/IcgOAHM7tr3+XW9717e+0Trr8b0GXjSdx+o12MD7J917h7ROC0qQ2TpuwPTUxaesOwJcrsd/8OjdOzozX7f72oPz21PqSLhUEn+0GZABABAd82OnHnrfHX/+6MUzt73yG3RRXO6/lLa+RKsF97aesAyRATpz4dyvfvj3dy1uu3nXgY42++a3Abs5U7K1Z1cvVbV9cOlMqfTF4epnzp86PVyxIgWQJpxs2IFT2+7vEXFIPoDJBUIGrVAtTgnWgj3Rud0j5JuoQLf1ty+ojkfPQpt9t9y4+8hTErY/ee0+ct3R22955I67C6RL9dCK3NbffmK0bIMQJlTwvAdEgI7fL43aGL15CGpMvo7kO2UdPQFeqtbfd+LYzrOzt2/da7QxSl2zuKNQanEwB1pfqkaXxsPl4frI1p99/KHHLpxlZg2ksaVi2nrCasG9rc3LlMVgdtZPNUXk7IVzf7J0XpEGEUBwIgLMHJOPQGq2jsWg0pglaGdtuw/RZt+2YyRnULwFvI6EuxKshZFdl0zSjENGeCOAJjrUnV8wPQuy5+br/9qbv3vHU7DAfCpFWn/Lb77t9J3HP/W2Xz/12buVQF+ZGVVU4iQ7uwA0+7GlTzSFyUClSUzPqZjMApOmjDAvDFc/dOo+n53yoRN3EyIiUZR7IqJ1lkUMIJIWkMHsrCnbzr2tzasF97Y2L9L6yN986bF//z5x0TUMQNiLuYFEGIAkOIMRSAGKKe5kYpbpkfA9b+Rj2+6EHYoWchLYGO/eBQSQFoJgYjCEiLuLwY5yZs+tNxz90e/aesOhL67pFWm96+brd/z6z5y76/47f+Hdpz5z54Hu3KnRSsiSSg8j4nuJOiXnJUJmQiQTmZmp/NIploZi7h2KoASFEHmzNQEEAUSDlHwXQNGRv/nSL8opra0rstq/jLaesLYe3N/rdt1wLAAsPtxpOoo6JXFL46wSnW9DC++ljSBN8y4uJrv6ICeL4gQ9G0OCyOBAFKFk+A4CKZliiHz7r/3TG26+6S/Py5C02n7TdVvf9da77vjs6Btf2VcmrTX5T0ibsQJSkipSWt7EHDVRNA2g+3A7hVnznvLzoqd80+zHz8/3ubwzBPXKLQf3X+6/kba+dKsF97aesFRptl179dKx4wDgIukc6O9MA8MiwWwrut3yBO4Tb/hk9m07huRVLWIRlZASRnZCgILZN/Q/Nrj+IuCRW285fNPRvwKXWtLq8E1Hb7n11mOf+BRnXjEJ2QMzg6ogZaJaJnXrKrtBk1FTEdxjPmq4P2SCh39FoiYcKmSFeH4GRGYPHsgj9Npqa6paKWRbT1brZy984NVvHl24xHGuGVYxYwKfE2Hh3FklC9GWXBXjXRIdCAs7EBeNZXI1ZC1uLK7y9vFxmz9kfEdkN0a/7X3vOXzbzX9lB+HeT93xj17x6nFdJ3zPkR0BEGFARWJmNkH2DTmCMRY1MjZZ8x4694jsoXnP1qgQsVyce9lvva23bfFy/4G09aVbbefe1pNVb9viS9/xEx9+7Vudtf6eJljVw7qEpdN4f/rXRLywk6Z5dyAs5CS06MGBAFGJKE/IiCiixnQ3A3cAVIg33nrroZtu/Ks8CAdvuvH222777Cc+lVKwU/6fjyRECOSM18wQxLFqRs7kg9NGAo8T/+rtzxCB4kpUg+8xuFxAlNJf9Y6faJG9rSevFtzb+jw1f/jqHUeuu/i5+9JKUQJ3n54aQ1ZjLF/6V28kIGxFGJgFIsT7hp2csBbyChkHQgA1cldpkenwPAHxyL64besP/8ovqL/aKaLS+gd++ed/+m+9+vzZc05YsmlqiqTDYFSp0hLTpGyGMloGQuY1RrkkIsX+Pe/cUzo2pjg9EQGYv/Hg/OGrL/ffRVtf6tXSMm19/lq568HPvPFnnXXJqz327GyZLTsn3IB75Goa4kXYf0Lk3HnCNSyYDUjFbixOmt3+ZprqmZDFbVt/4g/evfA0TcG+WHXx8TM/+/LvunD2LIukhn3K+magzIQgMi6s+k4cI/GiQiI2JpSnyLx7FFdZMFMA92hBTErd+q/fMnNjC+5tfZ5qO/e2Pn8Nrt239ci1a3efiIkVIiIuRrtZ14B7E8Un7Fh82qpH8Gygyn53yffsVpAYCdgid1EnD5d8oCoiRuvv/9VfuFzIDgALO7d/37t+/p2ven3taj/dDT4vjTeCMEhJSqWdpqxDz9UvPhNVZ725z74ipNi5UwhgaiJtEQFYpHd43+C6p5T93dZzvFpwb+vzF2p18K2vfegH/iWsrPs45hSTbZ2r2TkfshpBn5l9Ux/QX9iya8A9wD0pYSWs2BEhM/TIZHFHkmkuQUAO3HJk79HDl/c47D16+Lpbjj706c+lAEBsfLzCIxeAkpRJyshAvFBQxWAwdtchVI8UKt/C+yAOL4bxeXs+fcn/k0d2mOkd/Gff22ZxtPVUqqVl2nqq5ZZWz/zov8a1sc/ttI5rV9fO1c465pBTwRyi+CKy1+ysD9SOTE7C95rZiqvZDZ1FBCcykWUXUZ4FelsXvue//vLs9q2X+xjA8ulz/+7vfO/6+QsbXYh9EaKJykgdkq8D65LwPSamhtBUFemXSK6jIkoZqooUIrCIDDo73v79enH2ch+Dtp4d1YJ7W0+j3NLq6Cf/HQ4rRGAW6+y4rkd11SRo+6aenfVpfOxq52q2tXMNY8NcS8D9il3lnEf2GMYUFd2Rk+ltmf/23/k3M9u3XO5nH2rtzPn3vPKN6+eXmgBvaKxn4jQ1JV+TRqUz7CZEE1OwfXuuiVRgYIIqRivVMUVhjCYVLpV6xczPvrZ1bG/rqVcL7m09vZJLa/BLf4inlsA5YLa2HtfVuK4FQISZExFvfVNf2xC8x5GCr30779yY7cjVBWkXOXofq+RpbP+X2V2c+6b3vqP/JSb7Wzt74Q+/9UeGF5YFgtF7WNkVURRIdgAoffJ1bNI9fBOST1zyuXpaaaNUAHcKs9PCmI4ptNJACIjV7nn9xle0yN7W06oW3Nt6+sUMJ8/BH3wcHrkI4zHYWqqxR7fQtjtXW1tbm7JVx7YOoO9h3VlDymN9lNywFUdhNwgIkJSav+HqF7ztTb2tC5f7CW9So3NL/+fHf+HSXQ8SwMjWaZ6syU9K824djNIKSSvlBY5FCF3SISJVaa2UIhVad4AmpmP3PHzzC2DfNqDWALKtp1ctuLf1TMsxPHoB3n8MTp6B9bUmqsk5cM7alLBaeerGMSNCZR1RGMn6/CaP+CIwtFVXG4dgtF584c17Xv31c4ev/ivwGHjGxdZduuehh//Nb68eP1lVNQEO67Em1TOFAORkCyGySMcUIqJIdUxISS20KYwh5YOWCIjCjLbXg6u2wstugb2LLay39cyqBfe2vrByDI8twT2PwfoYRGB9DMxw7CTUNdSV1NWoqob1eFzVldiBKkBAkapt5ZU21rna2cpZ61zFbu6Ga3a8/psHB3ZTYZ4tmhCxjqt67aFHz77r9y7d9UDPFCCQ9eNUmAIR2TlBrMQZpUpTdExhQtBSAVrDkX2ABP0CAKBbwvU7YddCm5zX1hdSLbi39cUoZrC5IW6TQ+c+d8I36fXKmh7bLit49AKIwLllYMu1q1xt53puoa++6qb+oaueLZi+scS69eMPw59+Ti2tm0vrSvlsPIIts4AIuxaG5KRbqEHP0+t04/5McYPpHWhqu/W2vvBqwb2tv9pyDNaF29L8H42+QhpVx1LbANW5WlKrK+QJtvUsqRbc22qrrbauwGpbibbaaqutK7BacG+rrbbaugKrBfe22mqrrSuwWnBvq6222roCqwX3ttpqq60rsFpwb6utttq6AqsF97baaqutK7BacG+rrbbaugKrBfe22mqrrSuwWnBvq6222roCqwX3ttpqq60rsFpwb6utttq6AqsF97baaqutK7BacG+rrbbaugKrBfe22mqrrSuwWnBvq6222roCqwX3ttpqq60rsFpwb6utttq6AqsF97baaqutK7BacG+rrbbaugKrBfe22mqrrSuwWnBvq6222roCqwX3ttpqq60rsFpwb6utttq6AqsF97baaqutK7BacG+rrbbaugKrBfe22mqrrSuwWnBvq6222roCqwX3ttpqq60rsFpwb6utttq6AqsF97baaqutK7D+f3ZAIDBSLE7lAAAAAElFTkSuQmCC",
      "text/plain": [
       "500×500 Array{RGB{N0f8},2}:\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " ⋮                                               ⋱                        \n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)"
      ]
     },
     "metadata": {
      "comm_id": "5bbef92e-924a-40ab-92c9-08674fcd15f4",
      "reactive": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "",
      "text/plain": [
       "Scene:\n",
       "    screen => name: GLWindow\n",
       "children: 0\n",
       "Inputs:\n",
       "  mouse_button_released => Reactive.Signal{Int64}\n",
       "  mouse_buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  scroll => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  window_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  window_area => Reactive.Signal{GeometryTypes.SimpleRectangle{Int64}}\n",
       "  cursor_position => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  mouseinside => Reactive.Signal{Bool}\n",
       "  mouse_button_down => Reactive.Signal{Int64}\n",
       "  mouseposition => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  arrow_navigation => Reactive.Signal{Symbol}\n",
       "  key_pressed => Reactive.Signal{Bool}\n",
       "  mouse2id => Reactive.Signal{GLWindow.SelectionID{Int64}}\n",
       "  framebuffer_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  button_down => Reactive.Signal{Int64}\n",
       "  unicode_input => Reactive.Signal{Array{Char,1}}\n",
       "  window_position => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  mouse_buttons => Reactive.Signal{Tuple{Int64,Int64,Int64}}\n",
       "  entered_window => Reactive.Signal{Bool}\n",
       "  button_released => Reactive.Signal{Int64}\n",
       "  window_open => Reactive.Signal{Bool}\n",
       "  dropped_files => Reactive.Signal{Array{String,1}}\n",
       "  hasfocus => Reactive.Signal{Bool}\n",
       "  keyboard_buttons => Reactive.Signal{NTuple{4,Int64}}\n",
       "\n",
       "    scatter =>     Scene:\n",
       "        color => Node: RGBA{Float32}(0.9f0,0.2f0,0.4f0,1.0f0)\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        positions => GeometryTypes.Point{3,Float32}[Float32[0.0, 0.0, 1.0], Float32[0.258819, 0.0, 0.965926], Float32[0.5, 0.0, 0.866025], Float32[0.707107, 0.0, 0.707107], Float32[0.866025, 0.0, 0.5], Float32[0.965926, 0.0, 0.258819], Float32[1.0, 0.0, -4.37114f-8], Float32[0.965926, 0.0, -0.258819], Float32[0.866025, 0.0, -0.5], Float32[0.707107, 0.0, -0.707107]  …  Float32[0.612372, -0.353554, 0.707107], Float32[0.75, -0.433013, 0.5], Float32[0.836516, -0.482963, 0.258819], Float32[0.866025, -0.5, -4.37114f-8], Float32[0.836516, -0.482963, -0.258819], Float32[0.75, -0.433013, -0.5], Float32[0.612372, -0.353554, -0.707107], Float32[0.433013, -0.25, -0.866025], Float32[0.224144, -0.12941, -0.965926], Float32[0.0, 0.0, -1.0]]\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        markersize => Float32[1.0, 1.0]\n",
       "        rotations => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        visible => Node: true\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "        marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "    mouse_button_released => Node: 0\n",
       "    mouse_buttons_pressed => Node: Set{Int64}()\n",
       "    time => Node: 0.0\n",
       "    scroll => [0.0, 0.0]\n",
       "    camera => Node: GLAbstraction.PerspectiveCamera{Float32}(16: \"map(input-14, input-8)\" = GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500) GeometryTypes.SimpleRectangle{Int64} , 789: \"input-350\" = 0.001 Float32 , 785: \"map(input-343, input-342)\" = 30.0 Float32 , 788: \"input-349\" = 41.0 Float32 , 794: \"map(input-343, input-342, input-348)\" = Float32[-0.707107 0.707107 0.0 0.0; -0.408248 -0.408248 0.816497 0.0; 0.57735 0.57735 0.57735 -3.4641; 0.0 0.0 0.0 1.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 793: \"map(map(input-14, input-8), input-349, input-350, map(input-343, input-342), input-351, map(map(input-342, input-343)))\" = Float32[2.67462 0.0 0.0 0.0; 0.0 2.67462 0.0 0.0; 0.0 0.0 -1.00007 -0.00200007; 0.0 0.0 -1.0 0.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 795: \"map(map(map(input-14, input-8), input-349, input-350, map(input-343, input-342), input-351, map(map(input-342, input-343))), map(input-343, input-342, input-348))\" = Float32[-1.89124 1.89124 0.0 0.0; -1.09191 -1.09191 2.18382 0.0; -0.577389 -0.577389 -0.577389 3.46233; -0.57735 -0.57735 -0.57735 3.4641] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 764: \"input-343\" = Float32[2.0, 2.0, 2.0] GeometryTypes.Vec{3,Float32} , 763: \"input-342\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 787: \"input-348\" = Float32[0.0, 0.0, 1.0] GeometryTypes.Vec{3,Float32} , 784: \"map(map(foldp(map(map(foldp(input-6), input-347), droprepeats(map(map(input-15, input-16, input-10))-3), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-3)))-2, filterwhen(map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-3, map(input-11)-3), input-345)\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 783: \"map(map(foldp(map(map(foldp(input-6), input-346), droprepeats(map(map(input-15, input-16, input-10))-3), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-3)))-2, input-344)\" = Float32[0.0, -0.0, 0.0] GeometryTypes.Vec{3,Float32} , 790: \"input-351\" = PERSPECTIVE GLAbstraction.Projection )\n",
       "    buttons_pressed => Node: Set{Int64}()\n",
       "    window_size => [500, 500]\n",
       "    window_area => Node: GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500)\n",
       "    theme =>     Scene:\n",
       "        colormap => ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(1.0,1.0,0.851), RGB{N0f8}(0.929,0.973,0.694), RGB{N0f8}(0.78,0.914,0.706), RGB{N0f8}(0.498,0.804,0.733), RGB{N0f8}(0.255,0.714,0.769), RGB{N0f8}(0.114,0.569,0.753), RGB{N0f8}(0.133,0.369,0.659), RGB{N0f8}(0.145,0.204,0.58), RGB{N0f8}(0.031,0.114,0.345)]\n",
       "        visible => Node: true\n",
       "        scatter =>         Scene:\n",
       "            markersize => Float32[0.1, 0.1]\n",
       "            strokewidth => Node: 0.0f0\n",
       "            rotations => Node: MakiE.Billboard()\n",
       "            strokecolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            glowwidth => Node: 0.0f0\n",
       "            glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "\n",
       "        contour =>         Scene:\n",
       "            fillrange => Node: false\n",
       "            levels => Node: 5.0f0\n",
       "\n",
       "        axis =>         Scene:\n",
       "            gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "            visible => Node: true\n",
       "            scalefuncs => Node: (identity, identity, identity)\n",
       "            showgrid => Node: (true, true, true)\n",
       "            axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "            showaxis => Node: (true, true, true)\n",
       "            tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "            tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "            axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "            showticks => Node: (true, true, true)\n",
       "            gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        meshscatter =>         Scene:\n",
       "            markersize => Float32[1.0, 1.0]\n",
       "            rotations => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "            marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "        surface =>         Scene:\n",
       "            image => Node: nothing\n",
       "\n",
       "        colornorm => Node: nothing\n",
       "        volume =>         Scene:\n",
       "            absorption => Node: 1.0f0\n",
       "            algorithm => Node: 2\n",
       "            isorange => Node: 0.01f0\n",
       "            isovalue => Node: 0.5f0\n",
       "\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        image =>         Scene:\n",
       "            spatialorder => Node: :yx\n",
       "\n",
       "        heatmap =>         Scene:\n",
       "            linewidth => Node: 0.0f0\n",
       "            levels => Node: 1.0f0\n",
       "\n",
       "        lines =>         Scene:\n",
       "            linestyle => Node: nothing\n",
       "\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        drawover => Node: false\n",
       "        color => Node: MakiE.UniqueColorIter{Array{ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}},1}}(ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(0.894,0.102,0.11), RGB{N0f8}(0.216,0.494,0.722), RGB{N0f8}(0.302,0.686,0.29), RGB{N0f8}(0.596,0.306,0.639), RGB{N0f8}(1.0,0.498,0.0), RGB{N0f8}(1.0,1.0,0.2), RGB{N0f8}(0.651,0.337,0.157), RGB{N0f8}(0.969,0.506,0.749), RGB{N0f8}(0.6,0.6,0.6)], 1)\n",
       "        mesh =>         Scene:\n",
       "            indices => Node: nothing\n",
       "            attribute_id => Node: nothing\n",
       "            shading => Node: true\n",
       "\n",
       "        linewidth => Node: 1.0f0\n",
       "\n",
       "    cursor_position => [0.0, 0.0]\n",
       "    mouseinside => Node: true\n",
       "    mouse_button_down => Node: 0\n",
       "    mouseposition => [0.0, 500.0]\n",
       "    arrow_navigation => Node: :nothing\n",
       "    key_pressed => Node: false\n",
       "    mouse2id => [-1, -1]\n",
       "    framebuffer_size => [500, 500]\n",
       "    button_down => Node: 0\n",
       "    unicode_input => Char[]\n",
       "    window_position => [75, 700]\n",
       "    mouse_buttons => Node: (0, 0, 0)\n",
       "    entered_window => Node: false\n",
       "    button_released => Node: 0\n",
       "    window_open => Node: true\n",
       "    dropped_files => String[]\n",
       "    hasfocus => Node: false\n",
       "    keyboard_buttons => Node: (0, 0, 0, 0)\n"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using MakiE, GeometryTypes, Colors, Interact\n",
    "scene = Scene(resolution = (500, 500))\n",
    "large_sphere = HyperSphere(Point3f0(0), 1f0)\n",
    "positions = decompose(Point3f0, large_sphere)\n",
    "meshscatter(positions, color = RGBA(0.9, 0.2, 0.4, 1))\n",
    "scene"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "500×500 Array{RGB{N0f8},2}:\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " ⋮                                               ⋱                        \n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)"
      ]
     },
     "metadata": {
      "comm_id": "6a947b68-7229-4d11-9cab-0ae51fab9a9b",
      "reactive": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "",
      "text/plain": [
       "Scene:\n",
       "    screen => name: GLWindow\n",
       "children: 0\n",
       "Inputs:\n",
       "  mouse_button_released => Reactive.Signal{Int64}\n",
       "  mouse_buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  scroll => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  window_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  window_area => Reactive.Signal{GeometryTypes.SimpleRectangle{Int64}}\n",
       "  cursor_position => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  mouseinside => Reactive.Signal{Bool}\n",
       "  mouse_button_down => Reactive.Signal{Int64}\n",
       "  mouseposition => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  arrow_navigation => Reactive.Signal{Symbol}\n",
       "  key_pressed => Reactive.Signal{Bool}\n",
       "  mouse2id => Reactive.Signal{GLWindow.SelectionID{Int64}}\n",
       "  framebuffer_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  button_down => Reactive.Signal{Int64}\n",
       "  unicode_input => Reactive.Signal{Array{Char,1}}\n",
       "  window_position => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  mouse_buttons => Reactive.Signal{Tuple{Int64,Int64,Int64}}\n",
       "  entered_window => Reactive.Signal{Bool}\n",
       "  button_released => Reactive.Signal{Int64}\n",
       "  window_open => Reactive.Signal{Bool}\n",
       "  dropped_files => Reactive.Signal{Array{String,1}}\n",
       "  hasfocus => Reactive.Signal{Bool}\n",
       "  keyboard_buttons => Reactive.Signal{NTuple{4,Int64}}\n",
       "\n",
       "    mouse_button_released => Node: 0\n",
       "    mouse_buttons_pressed => Node: Set{Int64}()\n",
       "    axis =>     Scene:\n",
       "        gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "        visible => Node: true\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        scalefuncs => Node: (identity, identity, identity)\n",
       "        showgrid => Node: (true, true, true)\n",
       "        axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "        showaxis => Node: (true, true, true)\n",
       "        tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "        showticks => Node: (true, true, true)\n",
       "        gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "    time => Node: 0.0\n",
       "    scroll => [0.0, 0.0]\n",
       "    camera => Node: GLAbstraction.PerspectiveCamera{Float32}(16: \"map(input-14, input-8)\" = GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500) GeometryTypes.SimpleRectangle{Int64} , 502: \"input-270\" = 0.7866088 Float32 , 498: \"map(input-263, input-262)\" = 23.598265 Float32 , 501: \"input-269\" = 41.0 Float32 , 507: \"map(input-263, input-262, input-268)\" = Float32[-0.674807 0.737994 0.0 0.13901; -0.412807 -0.377462 0.828923 0.0850382; 0.61174 0.559363 0.559363 -9.56533; 0.0 0.0 0.0 1.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 506: \"map(map(input-14, input-8), input-269, input-270, map(input-263, input-262), input-271, map(map(input-262, input-263)))\" = Float32[2.67462 0.0 0.0 0.0; 0.0 2.67462 0.0 0.0; 0.0 0.0 -1.06897 -1.62747; 0.0 0.0 -1.0 0.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 508: \"map(map(map(input-14, input-8), input-269, input-270, map(input-263, input-262), input-271, map(map(input-262, input-263))), map(input-263, input-262, input-268))\" = Float32[-1.80485 1.97385 0.0 0.3718; -1.1041 -1.00957 2.21705 0.227445; -0.653929 -0.59794 -0.59794 8.59754; -0.61174 -0.559363 -0.559363 9.56533] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 477: \"input-263\" = Float32[5.9804, 5.28, 5.28] GeometryTypes.Vec{3,Float32} , 476: \"input-262\" = Float32[0.206, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 500: \"input-268\" = Float32[0.0, 0.0, 1.0] GeometryTypes.Vec{3,Float32} , 497: \"map(map(foldp(map(map(foldp(input-6), input-267), droprepeats(map(map(input-15, input-16, input-10))-2), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-2)))-2, filterwhen(map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-2, map(input-11)-2), input-265)\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 496: \"map(map(foldp(map(map(foldp(input-6), input-266), droprepeats(map(map(input-15, input-16, input-10))-2), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-2)))-2, input-264)\" = Float32[0.0, -0.0, 0.0] GeometryTypes.Vec{3,Float32} , 503: \"input-271\" = PERSPECTIVE GLAbstraction.Projection )\n",
       "    buttons_pressed => Node: Set{Int64}()\n",
       "    window_size => [500, 500]\n",
       "    window_area => Node: GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500)\n",
       "    surface =>     Scene:\n",
       "        color => ColorTypes.RGBA{Float32}[RGBA{Float32}(0.768628,0.713726,0.333333,0.0705882) RGBA{Float32}(0.768628,0.713726,0.333333,0.0705882) … RGBA{Float32}(0.870588,0.835294,0.682353,0.133333) RGBA{Float32}(0.870588,0.835294,0.682353,0.133333); RGBA{Float32}(0.776471,0.721569,0.341176,0.0705882) RGBA{Float32}(0.776471,0.721569,0.341176,0.0666667) … RGBA{Float32}(0.870588,0.835294,0.682353,0.121569) RGBA{Float32}(0.878431,0.843137,0.690196,0.12549); … ; RGBA{Float32}(0.847059,0.768628,0.529412,0.486275) RGBA{Float32}(0.847059,0.768628,0.529412,0.482353) … RGBA{Float32}(0.807843,0.698039,0.443137,0.419608) RGBA{Float32}(0.831373,0.721569,0.466667,0.431373); RGBA{Float32}(0.815686,0.752941,0.521569,0.501961) RGBA{Float32}(0.811765,0.74902,0.517647,0.490196) … RGBA{Float32}(0.811765,0.701961,0.454902,0.419608) RGBA{Float32}(0.835294,0.72549,0.478431,0.423529)]\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        y => [-1.5, -0.75, 0.0, 0.75, 1.5]\n",
       "        visible => Node: true\n",
       "        z => Float32[0.033084 -0.0520913 … -0.0520913 0.033084; -0.0520913 -0.087238 … -0.087238 -0.0520913; … ; -0.0520913 -0.087238 … -0.087238 -0.0520913; 0.033084 -0.0520913 … -0.0520913 0.033084]\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "        x => [-1.5, -0.75, 0.0, 0.75, 1.5]\n",
       "\n",
       "    theme =>     Scene:\n",
       "        colormap => ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(1.0,1.0,0.851), RGB{N0f8}(0.929,0.973,0.694), RGB{N0f8}(0.78,0.914,0.706), RGB{N0f8}(0.498,0.804,0.733), RGB{N0f8}(0.255,0.714,0.769), RGB{N0f8}(0.114,0.569,0.753), RGB{N0f8}(0.133,0.369,0.659), RGB{N0f8}(0.145,0.204,0.58), RGB{N0f8}(0.031,0.114,0.345)]\n",
       "        visible => Node: true\n",
       "        scatter =>         Scene:\n",
       "            markersize => Float32[0.1, 0.1]\n",
       "            strokewidth => Node: 0.0f0\n",
       "            rotations => Node: MakiE.Billboard()\n",
       "            strokecolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            glowwidth => Node: 0.0f0\n",
       "            glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "\n",
       "        contour =>         Scene:\n",
       "            fillrange => Node: false\n",
       "            levels => Node: 5.0f0\n",
       "\n",
       "        axis =>         Scene:\n",
       "            gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "            visible => Node: true\n",
       "            scalefuncs => Node: (identity, identity, identity)\n",
       "            showgrid => Node: (true, true, true)\n",
       "            axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "            showaxis => Node: (true, true, true)\n",
       "            tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "            tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "            axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "            showticks => Node: (true, true, true)\n",
       "            gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        meshscatter =>         Scene:\n",
       "            markersize => Float32[1.0, 1.0]\n",
       "            rotations => Float32[0.0, 0.0, 1.0]\n",
       "            marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "        surface =>         Scene:\n",
       "            image => Node: nothing\n",
       "\n",
       "        colornorm => Node: nothing\n",
       "        volume =>         Scene:\n",
       "            absorption => Node: 1.0f0\n",
       "            algorithm => Node: 2\n",
       "            isorange => Node: 0.01f0\n",
       "            isovalue => Node: 0.5f0\n",
       "\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        image =>         Scene:\n",
       "            spatialorder => Node: :yx\n",
       "\n",
       "        heatmap =>         Scene:\n",
       "            linewidth => Node: 0.0f0\n",
       "            levels => Node: 1.0f0\n",
       "\n",
       "        lines =>         Scene:\n",
       "            linestyle => Node: nothing\n",
       "\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        drawover => Node: false\n",
       "        color => Node: MakiE.UniqueColorIter{Array{ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}},1}}(ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(0.894,0.102,0.11), RGB{N0f8}(0.216,0.494,0.722), RGB{N0f8}(0.302,0.686,0.29), RGB{N0f8}(0.596,0.306,0.639), RGB{N0f8}(1.0,0.498,0.0), RGB{N0f8}(1.0,1.0,0.2), RGB{N0f8}(0.651,0.337,0.157), RGB{N0f8}(0.969,0.506,0.749), RGB{N0f8}(0.6,0.6,0.6)], 1)\n",
       "        mesh =>         Scene:\n",
       "            indices => Node: nothing\n",
       "            attribute_id => Node: nothing\n",
       "            shading => Node: true\n",
       "\n",
       "        linewidth => Node: 1.0f0\n",
       "\n",
       "    cursor_position => [0.0, 0.0]\n",
       "    mouseinside => Node: true\n",
       "    mouse_button_down => Node: 0\n",
       "    mouseposition => [0.0, 500.0]\n",
       "    arrow_navigation => Node: :nothing\n",
       "    key_pressed => Node: false\n",
       "    mouse2id => [-1, -1]\n",
       "    framebuffer_size => [500, 500]\n",
       "    button_down => Node: 0\n",
       "    unicode_input => Char[]\n",
       "    window_position => [1920, 700]\n",
       "    mouse_buttons => Node: (0, 0, 0)\n",
       "    entered_window => Node: false\n",
       "    button_released => Node: 0\n",
       "    window_open => Node: true\n",
       "    dropped_files => String[]\n",
       "    hasfocus => Node: false\n",
       "    keyboard_buttons => Node: (0, 0, 0, 0)\n"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using MakiE, GeometryTypes, GLVisualize, GLWindow\n",
    "scene = Scene(resolution = (500, 500))\n",
    "N = 40\n",
    "surface(\n",
    "    r, r, surf_func(10),\n",
    "    color = GLVisualize.loadasset(\"doge.png\")\n",
    ")\n",
    "ar = linspace(-2.1, 2.1, 4)\n",
    "axis(ar, ar, ar)\n",
    "center!(scene)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JKT3is00O8C8J+KeLopC6lVISDlu/zlcuu5SEw9SyaCJBEwlqmmLHjgBA4/HoqxOBeL7+DyFNq7LP2KQ3vZIS+bze0ddeRxwvnNbWXroMBN7bvZtWViR+mWstXJj4eQ4Jh52NG5GuA0LOli00ERc7dkjfD41GQ088FZ89G/F88Llnu3fvDt27n+jH4LpwcEbe27W7/N77yIED2g3X2ytWyn0u0G695a/M1zNMFexgOiWIXToLrVvFZ38b/+ILqVMnEo5Y8+aVXn4lCVWK7dqTikr/sKEgirHJbyNRJLGY0LgxcV0SDtHSMti0CWdn46xMnJXl7d/P5eRYP71CHQf7fCQUUi65RO/XF3g+Y8JLiR9/Mj/9DESBr1+Py68Ve+edlzu0+3nTRgB4FaM3EMYA7ykqUOhrxiilCKGj5TsAbNiwIfLmW6LjEMOgMYPGTbewEPt85kczzBkfAyGAEGAMHM7+8F/gurG333F37w489STOzk7thJSVVTzY3z9oII2bxr8+pK5Lw2GUkUHKK4AQnJnlbNlCEwkgFEkSjUTB8xBCyO8vv+VWqWtXQNh4dyqXmyuedlpyh5WDhyZmz0Y+n3xeb+WqK0/8I6C2XfngQ9aChXnr1zpr1lY8+BC1LfXaa+1ly9Trr1WvuoqVxjN/r2P938VUG9R1k6NCe/ny6IRXnDVruXr1pO5nmh9/TA2TxuN840YkGvP27gWEcFYW16nT3FUr6+zb55PloKJy8TjfuLHYtg0pL/fdf3/4+TH2smU4M9M38BHthusB/2dyzyspib0xKf7VTOq61HUvUqStW7cqiuL3+xOJhGmaPM97njeUF3IQetA00g+/YbI6Om3mvWHDht/5/BhjSG5CiHTG6fHZ3yJdB0qAAmCcM/trJIpI143p78e/+y4wdEiyr2RK2Q03gkfk3r2kzp3KrrtBaN2aq1Pb27OXq1uHhsO4Rg1wXeo4iXnzuJp5SOBxRibfoD4pKQGep5ZtL1+OBEFo0ZyEI6SiXOjcxdu+3V61Knfuz+B5oWefy5ryzgm9/4ZRce999qpV/kGDuPr1Q4MeQ4qinH+evXKVfted8nm9T/YBwlRDbORe/ZXffIvYsaN+7z1IlsUOHahlI78fHMd4bypNJAAhvnlzd+tWnJUFum7G45WhUN7s2c0JSVBaZphOPJGJsbNrl1dSzDdsGP/pJ7ewECiVunbRbroxMmas2LED8vncjRvjM7/m8mq6+/aJXbogUbQ2bjywcb2u61lZWYQQAEgkEuMEqYQnz1sJQghCCACS+T5Z01tyXDPO5wG9zYgBwABNFxo1woIAHI8EnsRi7q7d8lln4ZwapLycui6XmZXsExmfOSs+c5bvkYeTyW5++mn82+8yJ0yoGDCAlJWTykpryRLtphu1fn3dwkJnzRq+YSNnxQrpnHPiM2cJzZs5W7YihIEQGotxTZtSM04SCaFxY+A4vkF984sv+SZNaDxufvoZ2rzZWblSufYarlat6KsTsarSaAz59CpveHjU6PTqe1JeEZs82V69JvDkk0gUQ/0fxnk1syZN4uoVWIt/l7p2OdkHCFM9sTr36o/G49av893t26OvThS7dBZatnA2b6ahcLLSkVqWdvVV7r6iuN/fq6JsfEnxNNO4U5Q+tC0D6G1GrDPH7/K8yyOhNpajFpfQbduQYeCMDPC8+KxZpLw88cOP8U8/s1eu9PYXI01DCFPHAc9z16+/wSM3YK4AoeWqghAihMzj8CJKkoFOD55iBYCvHacjx99pxr5ybAAQBGF4Xl5mu/bKRRdqN9+kXnG5t3cv4vngM0+7+/Y5q1aLnTr5hw4GAOvX+bHJb2u39ZV79nTWrOFycyPPjwGPIF3jGzSwFixULuyT+PEn85N/k3DE+f13sUMHvlFDvmFD66efxdO7kfIKcByaiCOfHwk8CUeQLNGKCq+8HHGc+fkXSs8ezoaN9rKl6hVXAIBbVLTmwQdqFRWZ//7M9/DDfEHdKu925Pkx5gf/IgdK5HPPBQCvqKjijjvsxb8Hnx9NQ5XhUaOFpk0z353C5ecBAM+aizH/M2zkXv3Fv5mNON54/wMUCERfmuAW7ubrFiBBxBkZ4mlt3Z27YtOn/6Tr4urtRbEIALyp6VNt65VEHADe13x7CBkWNwDgdicEAEIk9EXN/CaVFQBA7T1IVdWrrzI//gQpKl9QQCJRb08h4gUSi6Ea2TtLSu6jJCcrU0YIYwwAtm0np9o5jkueWfU8z/O892TVhf9M0UiSFL3pRmzGjXffNRASWrSw162TzjknNGIEicV8A/pLZ5wBAPaq1dE3JilXXK5cdBEAxN5+xztwQLnkEmP69PjMWV5pGZed5W7ZShMJ5Zab4zNnIVUlFRVWWam3bTsAkJISJPC4Zk2vuBhxXHKNEZyZ4ZWX87VqkVAYSRIOBvl64GzYYP22wN25s7Rx4y6NGsWeeVa5+CLxtLbOxo1C8+appx0ZO854/wP1qisDzzwDAO62bRX33Eci4YyXX5LOOXt/y9ZSt24Zr7yMNM1etFjs1vVkHxpMdcbCvfrLfG2ivXIl36C+s2mztXgxEnji83llZUgS+aZNgeft9Rti+/Y9HosAwFuavs7zJibiADBV891mxd1D6w5fEaTKykqnVi2tXgGSJJAkZ/lysUN7+/cl9t69cq+eOBhwNmwUWrX0PO+dWvmwfDnP84qiOI6DMRYEwfM8QojjOIlEwrZtz/MAoK8ZW+wLpD9Qbq9evoYNSShkr1gZe+cdJEmxia+J7dr5HnxA7NA+uY14Wlup+5na9dcBgLdzl716jdCyhXTmGYnZ31LTFFo0N9//AGma2KaNMW06kmWvogIVF3t79iBVJdEon7CQ3weGibOzAWO+YQOEEFiWcv75gHHsnSnK+efba9e5mzZRy3Jkyea4vJq59MOPsN+vXn0VUGp+8m/AODBiOCAUGTvOmDZdufKKwHPPAoA54+Po669Tx814/XWpcycAyFu/NlkwE//22/DwJ3B2Vs4P3x/yUbmu8cG/tH59T/Yhw1QHLNyrP5yZKffsKffsmZjzS+XAgfJZ3d1du0lpmRMOU0Kk9u2JprWpKAeAyZp+d1rheb+D1xyNUbR8jPMwBoAiQvYTr3c0PHfLVrlNay4ry925CxEqtG0Drsfl5fke7i80bUoqK+Pr1uX9+988zz9QXvFho4a6rg8rOTCyRrbnefH4H98Z9CAAsCh9WlGfjv9xTjVr717rQCkQzy0sxBkZ7ubNYtcutDIUGjwEZWQITZvwBQX6vff4HrgfAMpuuJHGE1x+PmBsfvJv5bJLY1OmACFip4726jX2kiVily7Ohg1AKV+vgBqGdFZ389PPkCwlfvhRveoqe+lSUlZG43H54ou8/cXO2rXWihVyjx7WwgVi165eWVlxQcGv555zIy/QrdvsmCGf3R0pSmjIUHfHzsBzzwBC4RFPGh98gGvWDI58DgAqBwxM/Pgj8Ny21yZ279zpPx8GzxsffhQZM1Zo1CjjzTfSPyZqmrG3JtvLlvFNm0psUM/8ZWzO/RTC168nn3lG7M233G3blF49uZo1AeHYvHlcZaVIoSPP332kS4pGK9rQuHGeIC703AfM2JeO/aPjRKPRS7OysmrVxqqiXnO1dlu/+Kef00SCxmLO+vXOqtVeURGm0BShFot+t0RhS40aN+3dZwjihRWV83TNtm3bth3HcV2XEEIpHSorLoAC6BvHBoC3ZbXGzp1k2fL4VzPJ/mKheTNSUYlVFWkazs3hggFr/m/20mX6PXcnnyTOyox/8gkIvH/IYPOTT7mauV5xsdCihbNqNRIEalluYaF0+une3r2kvALxvLNunXrpJTgQEDt0MD/6CHE8EkVwHBIOIwDs02k4Ahz2du3yikuI4/jr1etACNm6jW/UyF6yxDdwoPnhR87GTXyD+tr110fGjDVnzECCqN9+m9Slc/Sll8x/fwoY1/j80/qH9hGLvjoxOuEVsWPHrHcmp3ePIeXl0Zdedrdv9w9+XGz/l1qPMUwSG7mfWrg6ddQbro++OtFashQHA+6B0t4i/65lyQACIACYoOpZGG30vIYY84D6GtHkhPt95iG5/46mhxyXcDj4wrjkLRmvv0YqyklpqVdc7O0vdrZsiX/+hV9RrJwarxMvK5EIJhJTWrXst26D3+/HGKdKZZIz7zalCqCVxJ2m+foa0QeI+/nFFzVd9Dv26Vq/vnLPHvbvv0unnw4IJf+hiYSzaVPq+dhLl3F16+JgRuK776VOHZONAcxPP6ORCGCMVBUMg69fD2dmxD//ggoC0jRvf7G9bJl0xhkACCgFAOXKKxI//SRfcTlwnL1+g7ttOyBMKiv53FxvzRrIzvLKy0kkgiQpMWeOvWy5s2Z1cMzoyPNjjPc/QKLEN2ksde8+f/78Ru+8q1x6CQ4G+cZpa2oTEn7mOfPTT+XzegdfGId4noTDOBCAZFeZF18ChANPPsnVrXOyjxGmmmAj92qOmmayLxUAlN9xZ+K776UzzhAaN7J+/526bigjY+LWLXfzgozQfkrOF8UgxmFKRyTiMx37C9s62m5nOvaqnBr3zPhIlKTkLVjTuOxsvqBAaNlSbNPGXrLE2bCRz8+r0avXh2vWPLm/5KX69a7Zu+/jpk04juM4LhnujuNYluU4zkLXbcXzPEJZCF8uSl/Y1r0HyoLNm/H166nXXguJROytt+0FC+RevZLhjgQhtV4HicXiX85EohQYMtj86ivzk39z+fnOihXUcXBmhtjuNHfHThwIWIsW8/Xqy+f1tpcuRRgJjRsTw8C6TkpLgXiI450tWyAeB0GwV6xEoii0boUwJhUVXHa20Ly59dtvCCFIJBDPg+M469cLrVraS5fHv/4aZ2ZuffGFjA/+5RXtD7zxhnLZZeoVV5iffsY3qJ9sBE9tO/TIo/Gvv1avvy44ehTiuIr7H3BWrRI7dnC3bImMHsPl5fkHP8b6hTF/I3YRUzVXcfe9yqUXS2efjX0+EokkZn9rzpzJZWVR20nMnTv6vF7NPv53HsYWwBbPRQi94rnJoXT6bPgRXXrppa+2bCUKIgg8EkUkCCCKiOdJKOQVFsa//U5s306//TaPF258YVxhYaEkSc+WV77RsjnHcZZlGYZRWlpaVlYWjVbtJva0omYjPLVFsxkuUc7r7WzYSONxpKk4MzPztYkAEBk7TrutH5eTU3bjTb7777MWLLSXr+Bq1SLl5c62rWLrNokff1QuuSQxZw64Lk0kxM6d7VWrwHGQpiGf7hXuQaIIGGs33+TtL0789BMQgjMyKCF8nTrY7wvv2i2XHpC6dEGqav06X+zUicbj9ooV4HnUdaVu3XBGkMbj2o03LdXV5hNfQ7Jsr1qNZJlGo+qVV/iGDA49Plhs00a/714AoOFwdPLbxrRp+r33+h58IPkavT17w6NHg+OQmCGd3k2/8470dWIZ5q9j4V6deQdKEz/+mPj+B+CwctGFco8eODPTKy6OfzXTmDGDArrHr//8888IoYyMDMMwCCEvyMpg2yKEDBLEsYl4er5PULUBppHa+YwaOR0yMhFCQEhyegUopZYFtg0YA0JC8+ZAPErIiof733///aqqjktYniC+XlDHMIzKysrKyspwOAwAUzT9jsOm+wVB+G34iLzNm5Ek2StW4kAAZ2dlvT/d2bQ59uZbJBrRb7/d3bkj/tUswMjdvkNo3BhlZnBZWV5ZGVCa+OFHalnKRRfReNxatFA8rZ21bBnCmFqW1LWrvWIF8vmEli3sxb9rfW813psKCCG/X732GiQIsXfekXv2rNi+Xd1dSGMxuUePxK+/4owMrGtc7TpIlpAokmg0+6MP3d27Q0OGekX7SVkZEKJceUVw1MjYu+/ZixYFx43FGRne3r3RN9+Kz5qFA8GMia+Kbf/Thsx4d2pkwgShebPMNyex7u3M346Fe7VGKRDilZdbc+bEZ39HrYR05plS505I16MvTXAFvs2XXxiGkZWVlbzCKBaLvSPJUUpLKR1pJdLH76+r+mk8t8nzMEDyCtLGjRt/17Q5z3OAEACiju3t2cvVru0dKMGygvNqJjtAAkLiyy+1adPmNtu5COEB9QtM0ywrKzNN0zT/KIwZo2h/LMZ0qPz8/LmNGkuBACktE1q0wFmZUpcuJBYlZeXWwoXOxk2++++zV6+Of/ElV6cOl5fnFRdLZ5/FFxREJ0wQWrayFi1K7kfu1ZMcKEWa5mzeTCorwfNwMAgICa1b2UuXAYeBULBt8Pu55s28DRulHj3cVSvFTp3NTz5Rr7oKZ2Z4JSV8gwbOqlVllp1Tp7a9ZIlyQR//0MHh58fEv/4a8TwprxBatMj+9BNnzdrwcyNTlfgAUNypC5dXU73iCu22fqmXZkydFv9mtnLRRdaiRVxenv/RgYdf6cowfwUL9+opMvp5YprUMGgiQS0LHIe6Lrhe8swhdV0SDnll5bPLy7OBOpjbxeFJHI5Go6Ioegclwz25Q0rpREV9IG18PbN23dYXXaSfe7bYrp2zbbsxbRr2B9xtW/X+D8nnnktjsfCIJ4TmzanjeJY1+6uvGu0uXMJhXVGQ6w63rXA4nNz5o7LyYiJ+tBcyIzOrnc/PB/zyRRclfvhRaNoEKSry6e627VxeTWfjJm/PHr5hg9K8vOzCPVLXLkiWzY9mcLVreSUH+MaNuBo14rNmAebA87iCAr5WfuLX+UjTuBo1SDisXnmFOXMWNQyb55143HScLZ6ni6I/GKydSCiNGsndz3R373a3bZe6dfX27SOVIeG0tvFZs4TWrZEkgevZy5aJnTqCINhLlvoefCD83Ei+bl3l4ot8Ax5ONQKLTnzN2bQpY8yYKvFtLVokdevm7t4dGfU8V7uWf+AjSGf5zvxtWLVM9YT8fiEvD2ka0lSkqEhREIdJRaW1cBElnrtjBydJuF27Wdu3/fbbb8FgEGPMI5Q81ZnaCc/zyatJXdd9R5SMQ8cBn/fq0aFuHfPDjyLjxtNEQu7dy//Qg7hmTXDdxPzfzBkfczVzvXAYiaK7dOnZCK0ShVcEXpEly4JEJJyqlinAx1pUoCJhlZFwjTffQIt/Vy7s4390IHAcIOTt2Wt++aW3rwhq1cL+QI3CQm///pLVa2p27SK2b2ctXASCUCrJwbm/iB06OmvXUkrIgZLE1q1y79720qVQp7aHcWTa9BWi0CZmLPe8Wgj94NgJAN22zFi0Kc/X3bgxGI1WZATbNm9OKiq8snJn6xZ7xQpAyFmz1vfIAGvuXJyRod95Z2jwYKFpE2/fPvA8AKredGMq2a1Fi615v/qHDTl8YC516wYAfEGBf9iQyOjnIy9P8D8ygOU783dhI/dTgldUFBo+wlm5ilLK164ttGgutGljrV37pGl88803oigmLxxNcl03Wc2CELJtO1nN4nneAs3XNRJK7lAQhOnTp19yySUkGq18eADSNFJWhniBq1MHPM/dtUu54Hzl0ktIZWX0lVcBwN25K+Y6Z6xZreu64zixWMx1Xc/zKKXTVP3wFZpSfvIFZjr2wlYtZ95yK9m+PTh6VOqu+DezQ48P1m6/LfbmW+q111hz5wLmqG3TaJSrW5fLyXG2bPGKioAQ9eqrvcJCd88er7z8QPcz961d2+pAaQWAROkWz7OAcgDrPK8lx3GAAGCZ5zbFXAAhC6jFce169KgZibjr1osd2odC4WB2FpJlasadjRv5evX4WvkkZvDNmpKSksTcX/yPD9JuuSX5DN09eyLPjRQ7ddTvuqv0iquypryd7HR2OHfnzsjo57mCAv8jAw5vRs8wfwIrhTwlYJ/PePdd+czuUreuwGGvcI+3b5/YoEF2RnDG/PmCICiKIoriCMNc4vP5fD5JkkRRdF03/TqjLhzXRxCTFxmpqvrigEdwZSUtL+cb1Bfbt8M+Hw744zNnunv2UCtBo7H4Tz8Zb78jdmjv7dnrf3QgKi75FUFpaanruslvjuRs/qWC+KVjH+2Zd+R5D+Cz/UVXd+rsKy1VLrggOShOzJ1rTpsOPG+vXAmOK3XpTGOG3LuXtWABUhRaWSm0bOFu3YozMrDP527b5iL0fThUFjOuWr+uXcxc67mdOF5AaLXnHqA0E+HBceMrx/7Ssdvy/PmCGAfajOP3U7LVdaVdu4sdp2Y8QfYXSzxPDpQiDjvr1nE1c7mcHMCYxuNczZrmjI8Rx2W8+kpqzY3Q0GE0YQlNmya+/c76db5XVKT07n3Evu04I0No1TIx62t3yxaxQ4dU9SrD/Gks3E8V6hVXyOefJ3Xrppx/nnTmGVzNmm5hoTLnl8aVlb0IXZNTY1g4auj6rpo1JUkCAMdxkheRJofzlNLLeHEfJT0E4RfXEUXxzm3b7XnzkleKxr/+hpSUIFFCkiS0aM43aOCsW+9u2459Ole7tu/RRxJz53pbt1x2zz1fLF5smmbyIiaMMaX0LI773nWO9rRvEGUR0CwrMXvLlpsysnyXXYowjowdFx3/EsrNFVq3xhh7+/fTaNQrLORq1kSq6m7fDrbt7dsnnX66s2EDkiUSiVaUlmaY5gHitUe4AHMI4CfXudWI/uA481znKlH6wrEBYJrmG2AanXjhHjN2Bs83wxxG0JTjimNG9jln+1q0BMfGWdn2qlV8rXyhWXMaixHDRBSQICBRkk7vpvS5ID772+i4F5Cq2kuX8Q0b2EuWAKU0FrUX/46zs8U2rY/4SnFGhtCypTlzprt1q9ihPct35i9i4X6q+M8Sbghhv5/Lz3e3bCF79varKPtNlkdEjbCmzm7S+Oq9+zYFA8lS96TkmdX+HF8L44dN42pRmu3Y40WJP/fcRiOGY1V1dxdyNWtqN9+k9+urXnO1cv55Upcu4Hk0HNFuuUW94XpjyrvOho36vXdzGzddVVo+i3iGYSTzHSH0nW2nersf7gvHvk6UvnTsaDTaubQsePll9qODSMkBb8+eX+6+c3tOjXorVvB16pBolDqOvXSpt28fFwxue/ut2qJIrQQxTbfkwCfEa+t6Hzl2HsYdOd4C4AFlYjTr4F8MVx4M9zMEoRsvuEDnuE5rnt9ByKOmMcVKXCoIi/bvb1a0n1ZUCgV1hZYtaSLh7t6NMzLAtp0VK0hpqXhaW2vuL3KvnvbChUiSSGUljUS43Bx3yxYuJwdnZZPiYmf1KrlnLxwMHPHF4sxMsWUL86uv3O07WL4zfxGbcz8VuZu3xN55xys5QEzjUVW5cN6vRZj7onb+E2UVU9q0SrZsjMfjsVgsFotVVlZGIhHXdd/T9GJCczDiAO0m3qyWLT5r3gJiMeXyy5Xzz0udCXS3b4++MYlUVvruu1fs1Cn02OMkFpN79Ux89z3wvH7H7ZV16vTp06ekpARj/BiBkY6VnPw57qE4VfMNC/h+Gf28+PEnXvF+lJHJ1cp3fl8itjsNZWaSigpr3q+23ydGonzTpl5hIenda+Hs2XwovNZ1eEDNOe4WI/qwrNwoSvNc5/G0mv33Nd8tRrRKuf3TiqojpADSEOpnRKdpPoIQDga6eETq2FE+60x3w0Z3z157xXIuM4vE49QwcDCY8dL46KS33M2b+QYNpHPONv/9b/mcc2ki4e7do113bWTceKFli8y3JyNRTD5K4pd5sTcmZX8y4z+fztZt4dGjhWbNfA/3R7J8sg8W5p+KhfspxnWNj2bEv5kttG6FNU2/444dt9328aJFkzDSdX287b7WpJEsywCQSCSi0WhpaWlpaaltHzIn/oaqN+O48xPmqsZN9NZthCaN+Xr1uLp1ufx8Z/06818f8k2b6nfflbyYnpSVxSa/ba9cJZ9/nnxeb29fkfHe1ERZ2cZ167IMow9xEUKu6yZ7/x77aFziD3aOhPLz8789rV0wNxdCIWvZcqxp1LKQrtFIFHiOLyhwt25DkiT2uWD5vz9dGQ75ETpASEuOX+G5dTC2Ke0liL+5jorQvYddOTVd8yXP7o5SVB4QAFwkiq3Cle9qekPMrfE8B6gPc25mRqc+fbKK9nsbNyJV9crLwXWBEKFZs8x3Jlfc9wApLaWuy2VlIb8fOEzNOJIlvnFjWlGRmP+bftedvv4PAUDihx9jb7+jXnWlet216XPxzuYtkefHCC1b+B8bdLKPGOafioX7KcTbuzf27nvOpk1gWf4Rw8V27QDAcZw+ffqsXr36cVmhovhFTo1ny8qfrZlrGEY4HK6srKyS7CmvqfrUFs1mPdQf9uxxd+4iZaXuzl1crVrq1VcpV16BBAEotRYsiL37HhACrsfXr+ds3w6UIkGk8bgHdGvJAX7btu1AHyWe67qp+pnDHyvZTWy0ouZhfJsREwShbdu2/9qxE/sDSBRpPA4YA8chhKjrJrsqOhUVS1au2ujYHICO0CDTeEpRG2FujedeJIjnRMOHP8oAWZEBxiTi41TNpbQmxn6EshFe5rkqoPvN2AhFLcC4Cebmuk4Ox2X7/S2zsoWSEpxTw9tXBADS6acLTZp4ZaWJn37GmRl83QKgFAQebJurVUu9+uroa69jn89euSLz9de98jJj6nT1phvVKy5PPoHI2HFIUZK572zaLDRrerIPGeYfjNW5nyrMzz6Pf/kVl58vdeyo33M30jR72TKkqkhRXnjssfNuvrmB521znKHFJcOys0p277YsK5FIJFfSOKKtxOu+YePmgrodr7oSKKUxwysrteb+ol51JaXU3bM3NnmyNWeu0Lq19euvuEYNe+0aACQ0bkRdD2cEcU7uW7I0e/3apwTxR45HmN8skBAhewl5IW5Weay+RnS65jtACQFY5A+4FL5bv2Exx3cKhbAgcKqCdA0wJgcOYL8faTopK7O3bC0jXoTSGgiZlH7nCxQRzwaaiTA57LWMVbTBcaMDx1dS8qKqxSjtzgsLXIfDnEnJoIMTOPUw9gAkhLrzwhbPi4bDnmGGBD4zEsWEIJ8PBQPGBx+InTohVaXxBLVtvn49pChecbF+912RseOkM89QLuxTfvudoSefQrqu33mHctGFqaeBVJUafzwWS3bmL2LhfgogJDF3bvyrmSQS8Q18RGx3WvLm6MsTqOsBIbWBfhDMLI1G6rhuGNDdpeVllj3aNI/9V10zzLkAgwYN+qJXb+w4NGFR2wLHScyf76xeA5IE8TjIsrdnD/A8CYcRx/MFdd2iIi4nFweD9oGSdr8v6SSIQYQ3USpQcAB4hF60EskqySoPd6sRna75KinxKEgIAYBLyaRE/EZCftO1S7t1k4r2W/uKSGUoMWcOksSfRKF/LPqupt9uxKZpPpvSEkKHxg0AeFY5pEXXAFkZHDcAYA/xhsXNNf5gm0gIAMYoWl8j+p72x7mEdzXdBmiMOYPS7cRrxnHrPa+EkIDtOE5YBKCua839hbqu0KK5s2ULWJa7ZQvOyHAWLfbdd0/8+x/4pk1JaWns7Xe8wkIQRfG0tsqFfdKfCVJVUlp6sg8Xpppg4V7NeUVFxvsf2MtXKJdfpl5xOVKU1F2Zb71JHYdalr1qVYNPP1s7a9boRFzTMCKk0jSOO18nItAArV69uqTb6bUbNgSOI2Wl7rbt7pYtpLISRBGJonblFcYH/8KqSh2HWgngBb52HSSJJBLlMzO/qVN71apV/MEynuT1U5NVLU7oQwfbx6cmwQHgViM6TfOdGQ2/q+mXCuK3jn0ax82y7VsrKum/P7UQwpmZ4LokGgXicabZX1Z2EvKYrGwjXpjSmggDwPuar4weMnavjfFUzdfPiNbAGAA+c+z3NP02I5aL0RRNT3Y9Tn5JPCQrp3P8O7aVHMKfxfM/uc4ZvOBSKiH0eTSiZWef36azvXQZNU1ACGHs7tjBFxQYH3zolZQIzZsjUUSaCghpt95ivP2O8a8PtRtvAIy9kpLKhx9RL7vUMU1gmL8D/uu7YP5/Fho81CstDTzzlHbjDenJDgBI13FGhrt5izH5nWA4/HXzZp7n2bYdj8eTRYrH3rMIyKDUcZx7Fy0kCNkLFtjLVnD5+dSyhVYtuexs7YbrnNVrtJtv4uoVAM+r119PbVu9+qrMNyf5H3lYrFXr/WBGXl5esuA9+XAY43sT8YcT5juaPtcXAIBbjegC/38KB/sa0YdlpYzSLpHQVaKUhTBGsMB1EIBLaYIQalk4M8PheIXQjhz/XNxswXE5CL+aiCdXHbGB+hCaoulTNH2xPzhd82Ug1M+IjlE0ERAAPBM3bzNib6j6bUZsHyFxSpPJPkhW2nPcKs9rz/Hn8EIh8TCCrryw2fMilP7uukONmL+sfNGSpXbLFojjxPbtiGHwBQXu7l0kHJLOPIOUlSJFprEYdV1SUqJec3X05QnhZ0cCgLVwEdY14HlIJIAQYJi/jIV7NZf1/rTgyOeE5s2PcB+lxkczoq+97u7axWVkfvjcyPz8/ORVqSeyZwqwi3gAsHr16gPz5iFRoo7jFRfzBXVxTo52y832ytVeSYmzYQM5cCDz1VeQIPCNG3H5+ZFxL4RGPOnu2SNY1g++QF5eXuqapiSE0F2mMdux39Z0ADgjEl7kDw6X/5hL8SOUhdB4VWsdrmzEcT14oTXHUwAXAFdW0kQiRuiiRJxSUkrJ66qOAHXg+emaDwBeUTUAkAB5AHcYsS2ed6sRTf4/UBPjYkIA4F1NT746AHgybrbn+NuN2BuqnoVwY8zZQPcSL0xpjFKPwn5CLKDJ7cer2krPreM45375BUkk3G3b1Esu5ps1BdcDz6OJBDVMe/Uad18RkiRrwULt1lupYcS//95etMiaM0do1TL+xZfUsigLd+bvwMK9+jtarbSzaVP8y69oPJ7x+sTAM08pn346s0vXI853H/nXgY5NxF9UNcdx7izcTTVVOa8XCYeFtm253NzETz+Tykrl8suoZWl33EGi0cR331PTjL46Efl8YudO7o4dYsdOnCx906v3JElOT/ahkvyaqo23EncZsWQob/a8PoLwgqoBQAHGGz0vC6GHZeXftkUBPrcti9KdnkeB/u66c0qKNxqGB3AmLzxgxjZ4bpzSrcQDgGJCVnneUs/dR8gIRXWAAsAKz3tJ1foZUQ4BAEQpBYAHzBgAjFDUA5SsD2S4QHsIwpnRcAkhvQRxLyHNOb6C0toYF2CuBsZNOMwD3ChK3zn2dzHTtm3vnHOAF2KTJ1PbppZNzTixLCQKgeeeAQCaSETfeku+4AIaCsU++NDbX2zNX4A0lVo2uK5XuOdkHzXMPx4L91MRdRzzs8/DTz/L5edlvjuFr1U7PHIUkpX8W26ZmJObDPfjzswkKABADYQBYPXq1cWZGYmf5ggtW9rLl7s7d/L16mW9N4VUVvJ16pBwxJg6lSsoENq2kc49O/H9D0AI0n3OunVC02a+evU6vfBCTk5OcrcIIYyQefAJ3GpEp2i6guDfjq0CmusL2BSuEaU6mKuDcRAhGaHegsgjxCNY6rr1MA4g9GIifrcRW+m5g2RlXCLuQyiI0EJ/oDHHXSOItTF+Jm7WxbiS0imafhrHeQADZCUToUmq/nDaxU09eeGaWHQ38bYS0iUSGiIrEUoTlG4j3n5CEIAHgAEwwGaPdOb5MkIuEkSMYJnrLPz4E/PXX8Ej1DSRJLk7diBJEtu1M96eQi0LZ2bytWsHnn5SPvusxHff8c2aKpdfpt1xO3WdxJy5oeHDQ8OGn+zDhPlnY+F+yvEK90RGjjI/+0zr1zfjxfHUiIVHjkKShDMz4pPePPv66/MOrk16bMkRbnLw6zjO/d9/D5kZYFk4K0u7+abg+HH2qlXO+g36XXepl13C16tHrYTx5lux197g6tQGjrMWL1KvujLjtVd9D9yvbtr8TcvWubm5lNJHeEFAyKB/hPtLqnaHEbsuFr1GFB8wYz+5Tnue7xIJ7SZeXYw7cfxWz9tJvJbhylyEa2NuK/G2e95zigoA9xqxOhi/p+kegB+hnx3HBaiB8dm88JSi3m3EchCujXElpY+ZRluOu92IpX+dvanpAsAIRV3puqdxHADUxty5grCTeJcJYozSbIx+cuwshBa6jobAofCr6+RiTAABwG0VZU5JCfA8tSxqmjgY5OvW5erVQ7oGhODsbN+gRxNz53rhMJdXk8vP1265GTDn7S403psqX3BB4KknT/aRwvyzsXA/lVCa+Pnn0LBh1LaDo0YqfS4AjLmaNamVIAcOePuLQRAyu3X9aNIk4WBXk2MM3of8UT74xwTx6tWrQ7EYCUeCTz2lXHSRu22b8a+PlMsvc3fvqhww0N1dKLRooVx9VebUdykhxrTper++6g3XI5531q2zFy3U27T+tl79/Px8HSEeIIr+CPesg+da4xSmaPqouNk1ElrqDxZgrh7m6MGB8xRNlwAKiccDej4Rz0Z/HNh+hEoI9SiNUqojlIewTen3ju0BPKOoFtDNnteN559Q1NuM2PuaL/2a1Rilqz3vQkEsofQOIzbPFwggxAOKUGoDSAhahUM1EP7JddZ7nklBRqiPIBYTstp1bzNiy/1BAPiZEsCYEsIX1CWVldSM28uWI55XLrowOvE188MZpOQAX7++dsvNzvr15vvvk2hUv+cu7aYb0cGVxxnmz2Hhfqog5eXRCa/E3pysXHxx4Omn+Pr1gVJ76dLQkKFAiHrttb5HHlbOP8+YOq32Cy+2bdsWjpnsKU/HzdGKBgCO4yz7bUH8+mu5OrWpaUbGjQfXTXwz25g2XWjZwj9wQGDYUP/AgfZvC8A0xXbtcDAIAM76DfHvvkeKSiKR7Kef+ujmW8YiiANqhfEISUYIrfC8YbKCEOodDe8l5H3NBwCdIiE/QgSgezS8lxAMKEJpBOgdRix5UvQ+M/aOpi/wBxtjLgMjDyAL4SyEeQQcQt154TSOEwDuMmIWgEUheVLCBrrIH0y+ruGyOsg0OvL86ZFQI4yHKyqHwAG6xfO68sJS1+3KC7/7gzGgMqDLBHGz5yX/X9pFvE2eN0bRNIS+c2w+kbA8j1qWtWgxSKL58cekpAR4zvzsM3vx71zdOmLHDuLppyd+/Cn87EiuXj2+QX2+cZOTfbAw1QFrP3AKqXzwIf3uu4U2rQHA27PXmDHDXrJUOqu7eu01XG5ucht78e+RCa/E9u+ft3nzQ2YsfYHso0lWhQPAdM03JOD7vn7DQOtW1nffKxf24Zs0kc46i69TG8kyicWir7zqbt9OKkN8QYG1YIF24w3WosV840b20mWZ70yOTXoz/vU333J4yP6iX3jxK+I1QeiOuPmerNxqxAAguazHu5q+yfPqYq4tzymA5roOBtAQ2uh5d0jy21aiOebuN2MA8JCs9BEEh4KC0B7iNcYcAAQxIhTiAF/bdgZGfQQRAD61LQFARChOaQIgiFAGQgKgvoeuIlJlrdcpmi4A2kK8bjxfTmhnnp/rOBFKO/F8Psa/u25jDi923XYcn4cxEgShQQOk615xMamsFDt1lLt3l3v1qhw0SOzQwdm0SbvlFrF9u8oH+wdHjeSbND7ZBwvzj8dG7qeQjNcmCm1aU8MwP/l35eDB5MCBwBMjfA89mEp26jjml18JrVrmffSvaS2avalob6jaccfvtx2cythLSFFRUfsli69ctpTUq+eVlZszPg4PG15x970V9z1Qdu313p69OBDAuoZzapDKSu9AKQmFnA0bkaaGn33O3bYdML6gW7e8vLxzPScLIQ7QJFnNQRhjDADLPXeyppcQOi4Rf9CMdY+EeYR680IQoXuNWG2MI5TcIkq7iPeyqgFAZvJCVoDzomEHYI3ncQgQIIKAAK2BUYzSxa4zx3EKMFcHc5kIPRE3CzD2IcQBVEn2IbJSZRVvDLDWcxthrgDhckq+sO19lESArvbc2Y5dB+MDhGYhnItxJaUUIf2+e9ydO5ULLwTPw1nZ+n33xt57zyvaT6NR+ZxznA0bkCwDx9FE4mQfKUx1wML91GItWlT52OPxb2ZrN98cGD1KSFs4glpW4pvZbuFu/dZbpfz8cePGPeTa95vGJFV7UzuhhT2HxY1kZeSyZctuikW4Zk3l83oHnx+tXH4ZUmShSRN3T2H8q5n2ylXGtOnajTfQaGTzkyOw3y916SL37k0pQaKoqOpM3c/zvIrQ3Z6zA+h3xFuk+TDGr1qJOKW5+D9fNp9YVohSARAAPGYaDoUVnnu5KIUpfV7Rnomb+wkJIDTPF7Ap5RGogDgASiFK6Wkc350XOnB8MSVrPbcZx91uxADgbiN2rxErIgQAXlf1h+U/rvyqg7n0FztO1Wog/EIi3s+IznfdJhwnIaiPcTPM9RCENhyfi7EfoZWeSwG6RUI9BC40/QNqGKSiHCkyNWJlN95kfjQDKYq7a5e9YiV4HuJ5xHM0Hj+Rd5thjo21Hzi1RF+aIPfqqV55Ja6RnX572bXX42DQ2bJFu/kmrk5tAGjbtm3btm2XLl16n2lQSl9XdQHB3Yf1yK2ixsEzmatXry5p27aGGY9NnZr4/nugADxPTRNEkRrG9venNR44COl6p2hMevMNpKqxd9/jatYE27FXrhQTieE1cuqUlq4QpKnEe9NzKcBERbUpzQCUbEKQHFaPTpiXicFbjegkVb/PjC1y3WFxY5rmq4+5YkLm+QK7CNEQ2uC5FZQahABAR44PU1pM6BrPOU8Ql3teLkIlAO6hL2R43BytaIXEeyXxR9T6Dv0LJr0d/H1mbLKmDzSNyZp+gJI45VyAluFKAPjeF/jYtgCgqKgobsTl6671du2ihuls2IhEgcvLCzz3rNiyBQ4GgeepbQMvkLRw90pK7GXL05uLMcwJYnPuDACAt2dPaOhwnBH0ikv4Bg3kHueKHTus2LnzvPPOS16weoLHycuq9sjB1MvPz5/btLn/rLOEVi29ygpj6nR3927EcVzduqSsDAmC0KJ55pR3AMDbu7dy0OP63XdZv/4a/2Y2eB694vLVU94NOE42wHpKCIW6CK3yvNM5rks0TClN7zkzVfOt9NzLBfHcaBgAHpeV1hxPAPIx2uaRjjy/0fN2E8+P0DZCbhel/ZSUEVoH4+WeW47Q5RwvArQ7uPZ30hhFy8M4+RWS+i75Exb5gzalOwnxgHbi+At09ZdbboV339PvuZtUVnK5uXr/h9wNG//4E8p1K+5/ULnicqlrF3vlKuvX+c7GjUhVst5792QfIMw/D1tmjwEAsBf/bi9fHnj8Mencc2gkEp/9bfzrr7PjiV+i0aKiohPfz/eOM0pR57gOAESj0c6RaE6LFrB+nb10mdihA5JELrcmcBj7dKFVKxqLKuefh0TR/OBfNGHpd95ur1ptLVgIAEqtfKlho283b2oF8ANQCUFLhDmAXmbsO833gKys8by+kpxcG+9Lx+4nynkc7sILXzv2Atetx3FxoPUw14rnBYT8CLXkOB/C7XgOAXIB/AiFKO3KC2FCMjHe7Hnpi3Q/q6gIkIqgtyD2FIT7zdiJvwPpFvkDJoVzo+ErRSmA8NeO/X1l5SIrcbXric2a+R4ZQONmbNKb8W9mO+vWyeeeS2OGNX++vXJVfOZMZ/VqvkF97Ybr9H592Xp7zJ/ARu7MEdBozF69KjFnbsWiRfNXrnrAiJ7IcfKaqj9oxtLH1ACQn5//ywMPZnXuFJ3wqu/B+0kkGho8BDgu8+WXom9N9g8djAOB0OCh+oP3e/v2R8ePJ+Gw2LattWyZ0KJ56YaNtutuBtoU0AWu/Q0n7CakAcZnRcPTVD0OlFAQESTXxntX03lANtA70+aOvvP562GujJDVnteN522AAELLPTfZGaY7z7sAa4hXF+EeB5fvGK6oGQgNMo0nFPW5+F/q0TjHF1AQ2up5txrRpf7gT44zNG4IgrC6oL5SrwCpKhIl+eyzxG5daTxuLVhoL1lKHVts3VrqfqbQti32+0/2gcD8g7FwZ47FKtxzQd9br12/oSbCu4j3xDHD7lVV628ayenv9Nvz8/N/6dtPqawMjnkeKC05ozvi+ZzvZodHj+Eb1E/8+BPfoAGpKLcWLkKqyjdqaC9bTi1LaNrUVZX5a9chK9EU0CxKWlGwKL0nYf6oaGs9t//B+Z+nFbUB5nIwuiAamaLpXXhhueuGKSkkpAHmzhEEDFBEyFeOXRfjM3lBQWiKlWiGudN4fq3ntuT4HZ633nPHJP7OM5lL/cFOkVDy38lbkkuCAEDHjh0/79pN7d0bB4P2qlX2okUkEhWaNuEaNox//jmS5ODoUXzjRlX3SCmcwJUHDJPEwp05jmXLliVn3k/kUElOTw+X1VGJQ74GvqiZf8a099QzzqCxWFnffu7GTcGxY4AQ48OPxA7t4199BQjjrEyhRUtvT2Hi1/n67bcZ701FqpqoW/fn9evOpeAAfEE8m5BWCCOgt8aikzXdpZCcMxmtaMPixtuaTgAkQAhgi+c15bimHBehtJB4LTiuWyQMAN/7/L84zhWi9KFtXSSIvaPhEYqqAcrFiALccbwzxn/FeFVLLuokCMKCxx+vuXcfOVDK1a0jn3222LEDl58ffellZ+NGYhiZb05KDdupbXu7dturV9lLlgZfGHfyDgTmH4aFO3McjuOcd955S5cuPZGNH5MVGaH6GN9+aEo+q+lnzZrZsXNnd/v2ykGPIUkGhLziYhoKgSDo/fomfvtNu/EGd8uW2Dvv8g0bkMoQqaiQevawfv99dSQSj0QbIOQH8ABOC1ce+zmMVtRamKMAyeVSfQh1joQW+4MmpT2i4d/9wSJC5rpOA4zbcDwA9IiGk39zLPQHN3vubf+DfH9f87lA62PuG8d+IREHgI4dO351401ajx58g/qAMQC4u3eHHhsstjvN3bFTu/kmoW0bZ9Nme/lyZ9UqEgrjnBpSx47abf3+jz515p+PhTtzFK7rFRc7mzc7q9cU/vxz90ULj7ZSdhXJpS0Ovz0/P/+XX37J3LTJmDYdPOLu2snl5dtLl4qnny62b+cVF3PZNYzp06UzznALC719e+Vevd2tW30PPbD/1YkHVq/ZD9QD6BsOHfcJPKOo9TFXF2MJIQVBOaEaQnFKN3jeLuK15vh8jHtFw1M0nQNkUJrs7jtF0/+nw3YAmKBqA0zjOUXNRljHuG379sHatbn8fL5ObbnPBdEJr9hr19F4nMvJQZJEPRcAhMaNxU4dnTVr/Y8/BjwrXGb+C+xwYdJQSsrKnW1bndVr7DVrSGkZUlWhebP8O++UViw/wXBPLm1xeIVJUVHROeecM/Pyy7MM09u9W+7Z01m3TmjTxl6+HCzL3b2LlFeIHTogn479fq8I03jc3bnTC4W8QPAiK55IJGb5/PN8gW8ce9wxJ8efipuf6v5fXOd6UfIAvnesi0QxG2PwvCtFaYHr1EcYAO4wYtM0X7J6PdlB4VVV8yPc789WPR5X8hKA1HmLjmbsywb13fXrEz/+GH1jktCihdSli71sGSkvUy66SOzWTWjWFGdkkEjEnPGxtWiR1L37//KzZ6obFu4MkHDY3bHDWbvOXrXK21eEeI5v0EDu2VNo2ZKvWwepaiwWA4Bjr+ORPmC34cibFRUV/Tht+mfNm33YqRMSBaFVK+q67q5dJBqh8YTQpg2SxPjMWcrFF7s7d5LSUq5Ro9KJr19YWpJIJADgkmjkuK9luubzgAYQulIQtxOvAONbJIlQ8CitjXG3SGieL5CF8BRNxwC7ifdk3Jym+TDAS6rW3zSOu/+/AsF/Toe+qmqZm7ZU+INZHTt4RfuBUqQoXF5NpGmBZ54S2ratvP9B5dKLlYsvdrdsoa4nNG4cGjIsOGY0AHglJamOEQxzNCzcT3Wh4SPcnTvBI1ztWmL7dsKtt/IN6lcpwpMkqUePHjNnzjxGvt9uxFL5PsA03td8txxpCFwDYNmyZecUFX3brn3+4CHGqFFC8+b274vFzp2y33+/cugw8fRuXlaGa9vOqlWbMC6LxW5xnbEn/HLSqzCna75cBBKAA1BMSROO+80f3Oi5uRiXU5q6xPTPXaA0WdN5AO6w5mIA8KqqxSkMjlf9qkAA72u+9Z5bB3M+hG6ORfI3bZh7Wlv/VVfE3nhTPudsoXWrxJy5fEFB5UMPk1CIr18fAOxly7n8vIqHHuby82Nvvimdc2705QnY72MnV5ljY3Pup7rY5LeF1q2Fxo1wVtaRK+0Icbfv2DB//rmPDUrOzBzjmEnNXD8qKz6Enj566eR7uv/1Zk1ed9zgviLSuBGIEunWLf7ll/sT8RvKSgHgW8wLAOs9dy8hQYQyEDaB3vtfTosnv28ekZW2HF+AcRChOFANUCmlKkLfO/Yzf62S/YgelpUshIIIaQgJgLYRLx9jBZAD9AAhww59xI4dO37epav988/qVVcJrVvFZ31DKiq4WrW84uLM1ycin6/ywYfE009PfP891jShbRv79yVCmzb6ffdin8/ZuDH85NP+4cPE09r+7a+C+adj4c4cmbtjB1IUZ+PGxA8/udu20fz8tp9+EosdvwlwKt9TrYCPKDm0FwThdUUdSDwAeA3zd8WNZ3gxE6NUiL+u6iKCA4TUxBgDHCB0cNx4VFZUhBRAMgIJkICAB+AB3XrYIHqArNTGeNDBQfpcXwAB/Og6JqVtOC5OwQWagXAJJYNObE6mShX/YFnxIaQhdDovrPVcg9JKSp+Om29rugyoMcd979hPHUzzNzX98C8nQRBWNWys1akNsiw0boxkmUSjzvr1NB7nGzXyP9w/9MRTYteuzprV4HleaZl24w3SmWeGhgzNnvFhZOw4ajuBp55g9e/M4Vi4M4eh1N2xIzRkGJJELi/P2badVFZKvXpeOefnZcuWAcBx8z01P3P4BU1HlPwaeFRW8jF+1DQAoMplrhNUzYdQMSEmhfY8X0mJCKickkfSEnmMouVidPjXyW/+wCe2/erBc7CDZaU+xwkADsAmz8tFuDbGhcTDgGphfOuJTdGMVTQDaJTSl4933VN6s523NP2eI33bLcnMzundC1FKQ2GvvBwJPI0niGGILVvI559vL1nibNlKysr4Ro3k3j31u+6KfzUz/s03fKNG9tJl1HXVKy7Xbr3lf3MoMP9gLNyZ/6CxmLVseeLHH93NW3BmptCiGYnGwHXdwkIaMyxKv1229NHKCnpQ8rdeVTUO0AOHhvjRCiKPbbyqlRCSrAQfr2oSoIfSdjtO1R4/dHz9uKxUqZwZqagFmKsy3b/IH1zhuqlnOFxWNYSGxY3RilYH413Eq6S0MeZO5Hvor5is6Ye31XxJ1XIw1+rss30lxaSiUr/7Tvmcc8puuAkJAle3DpeXRyNRQMjZupWvUyfjpRe5OrVDQ4YBUKRpgDE1jMBTTyJZ/p8+c+afiIU7A0Cpu2uXNe/XxC/zqG1JXbvKPXsITZu6e/aEnxspNG+u33sPDYfdPXu3z/n564mv5VPQEFj0kC4u72n6LkLSp7D/XL6/o+npu60yhE+uHHLcgzbZkKDKyVUHaAWlj5kGHOyU8H/2Bk/VfP2MaLJEBwFCAMl/GnIcB5CgtELTOlxzNdm+AwCCz48uu/Y64DBfUEANAwCo49CExeXlZU56nTpOZf8BpKwMZ2VR18mYMIEvqPt/9kKYfxAW7gyEn3zK2biJy8+Te/eSunXDWVkA4O3dG352JFentv/RgUhVk1s6jnPBBRcsW7asyuA96VFZacvx6ZH6564MqhLoE1XdATrQNCBtWdc/cdwmq+9/8wXOjIbheKcEqnhX0zlAJZQ8fpSvhCrfSVUMlhURoQKM7zRi/WWlJkIZCCsIYQALaAuOm+m6N7fvoDk2tWwcDJJwmIRDYseOpKQEMFYuvdSc8TGXVzPzrTfjX38T/+47Lj8f+3xi167yOWf/qc+cqf7YSkwM4MzMwBMjMl4cr1x88R/JXlISGTsO59TwDXg4lewAIAjCS/feKwgCOih9P6dx/DrPfVHV3jq4ctMdRmzKMVdxeuzgOkfpqkx8P2TGBprGdM0HaeF+Iot3v6/5Bqbtv5yS4Yp6ZjT8iqoBwG1GLLnc9om43Yj1NaKPm8YwWT3iBls9b7Ry5Lve0fRWHH+JIDoURisqBRgWN+8zYys9dzvx6mPOoSBRun7DescjfEFd6ayzcMCPdd0r3OPu2ZvxygTE80gQkCxT23E2bnJ37HS3bKWOI59zNikvN6ZN/+vHAFP9sJE7UxUpLw+Pfh5h7B86BGdmHnKf61YMH3HNsqXLly+naVL3D5KVNhy/g3h1MC45WPZ37PH7IFnxI6QjpACSEPCAEIAH4ACNU2pQiFI6OmECwJuafn/chIPD9mMcupNU3Qb68GGj7OSsd5W/DA73jKLmY3zXf/k3R7Lj8dHufVxWGnEcD5A+VTVN8zXnuOWu25rjKMDWgL9H587IcZ2dO+WePawFC5Q+fexVq+XuZ8Znf8s3bMjl5thr12JN55s01vv1tRYtNj//AkmSet01cs+ef/+hwPyTsXBnjqCy/8P+EcO5nJwqtyd++in2zrt7b7qh9+23J/tEHnF+BgCmar5MhMKU3vJ3XM3/sKz4EfIhNNRKVEn2Kg89TFabctwxrkt6X/PtI2RI/PgT7lM0fSchIw8tSz/axVlJx16zaY4v8KXzn7qdpDGKlgB6Di/85Do+jC/JryXE4+qNN9grVro7diSnX3Bujrdnr3haW+u3BVx+HokZ8lndnc1bqGEol1+mnH8e0k9okVvmlMLCnTkBlAJCJBSqHPio3KOHeN21ffr0SQ3eCSFwlHH0FE1vgLntxLvzb+rJ9Ybu0wAAwKC0hJBnE/H0h35P07d43vPHK09c7A8udJ2BxzyhmhzjD5WVJhyXPjU/SlGHH/O6p2OfRk5v7556iwRAJZQkz/T+KzOroyAKTZq4W7cKbVq7mzbrd91JolGkKPHPPpd69sCBgDV3LvIH5PPPUy+5pMpauAyTwsKdOb7KAQO5Wvne7kJ3797AiOF8vYJV27ZdcOmlycE7IeTY8yRvajoCuOfvyHdRFJMPl3ysoZKch7APocYcRyk94+BqSsf2iy9QSMgxZmaGyeroxBES/ATL9lN925NGK1ouRqmJqfRCnacV9em4mayFf0XVkvNIvwUzazRvLlCKA35n02b/sKHO2nXAYevX+Tgrk5qm1LmzdtddrEiGOTbWW4Y5Pun0bs6aNSCJOBCIjHsBEKqrKC/XyHmwaB9CCGOcDNyjdZ5JXpb5qqppCB1x8v0dTScABIBS8AAIUA+AAHgAHgUPqHvwZ+A5l9KXrETyscbYFqV0qqKdfuhw+Ni2ES90zDHNEZN9mKxKJ3YdaJWLXYfFDQB4XdU9oP1NI719WG2MASDZmTIT/VHdsMK2xuze+TMvyjWyhRYt4rO/5Wpkg+chWQLbEZo2C4x87n/xKTPVDAt35vjUq68Kb96MMQ4+9yyJGaSs1N25s4vnPlpRkUNpAJAI1AM4dmVhcrh6+IVIAPBfTdrIsowxTv8u6fvfXHz0uqqHKB1kGi+o2mMnXOo+SdW3Em+t5/3p93Ar8Rpibqk/+I1jp87oioCSL3+Sqm8nf+x8NyFFRUVtBKFtTva7/qAPATFM8FykalxWlu/RR07o8TyPxuMkEiHl5ULr1n/6aTP/XCzcmeOzFi1y1qwNPPcsUlVOFJ316+Mzvw5i/EvLFitWrACA1Mz7sdsCA8Djf/nSIZ7nPc9LTfQnfzhxHIL9HgGAmui/qANWEGp96OR70rEnakYpak2Mk50SBhx84QNlpQ7GIxV1RNxMnxp6Om6+qenRg5dZOY6zbNmyHzTfjOZN/2UYUiDg7toFGPH16h3yGJRSy6LRGAmFvLJSUnLA27/fKy72Sg7QaITaDmCc/fFHf/E9Z/6JWLgzxyedcYazYYPQrKmzdq3x0Qx3+w7lgvOVyy4du3Nnnz59XNcFgGTZ+58+hfOeprsAFoUEUIPSGKUvHOW8qCAIGONkvicn3/+rx1UBNcAcAJTR/+JbYSfxcg/7MnhT09cfZSz/vKINjRtHPPX6UiL+0mEv7T4zNlnTBQDx0Pr9QUYUli37PTO7XYsWMsZiq1bu7kJSXkYOlHrFxV5xsbe/mIRCNB4HSpEs4UAA5+RwtWuLnTpyObk4OwsHg3/uE2H+6dgJVeaEeHv3mp99bs3/TezUUb32mmSrccdx+vTpkz54P1plJACMUNSR/01/3YdlRUdIA6QikACJB0vgHxZ5nudd13VdlxCS+uG4R/JoRfMj9KAZSw23xyjacWsip2u+CKWpAva3NT1Z/360LmApk1RdRH/PitvvarrM8YH27U7r1s1ZvhwkCft8OCuLy8vjatbkcnNxTg2cmYl9PiTLyRVZGYaFO3McJBJJfDPbnDmTy8tDsiy0bIkzMnAwgH0+5Pev3bbtghtvdF03Ge5Hq5xJXlA6VlFzEPaA7iPkybSgn6TqGkIm0EKPHPFkZkp/Rf2yRnYy0500nucd+0h+W9O3ed7YRHyq5lvpuU0xd78ZO7xo/fDIfk3Vfeg/K3JMVPWHzNgRW4Ad0XBFbYa5UkoG/tn5KEEQJEl6PZDRtWMHybKRqvINGgjNmwotWrDJdOYY2LQMc1TUda1588wZH1PP0/v2lXqcG3lhvLNqFYlEaTxObRs8rzbQ6cGMA+GIATRM6eiDhedHbA8wOC3QR6taPsIAUEzJ/XEDDn4fjFG0HIwwoHJKHj0YiENlpTHHUYBNhLiuq6rq46GIn8JujvcDfjhtCv5oryV1uWk/Izpe1RpwGAAqKUkvWxwiK6WHzeAXEs9/8LUkG7KnBu8nYtTBl/yqqvkQWu95449Xhp8iCELbtm0fffTRM/YXk4WLpM6d1IsvdrZtczZutOb/pl533f/FQcD8Y7GRO3Nk9qrV5kcfubsLlYv6KJdccsjUredRx6GJBDUMEo1tWra096BByZr3B3ghCPBMWn4dHvSHH3LPyGptjDmAfoeenPxS8+VgjADWeu5eQp5NxJ9X1AJRjCnKeL/Ptm3LsmzbnmA7fY3YiczMpCz2Bw1KV3iuD6F2HN8lEkq2bKxyynSMoqkIUmXpb6i6dKSZljc13ab0RNpMPiIrbTjOoFClUcFYRUtfli8Z6+/vLwkMHezv1887cKD81n44EAg8/aTQvHnyIwCO+98eAcw/HAt35sjKrr5W7NpFveaa414s4zjORRddtGLFivRp99S9VcL9aMdb+u0vKmo2whWUPnIw74bLSiPMxSgdYCc0Tatbty7GOBnuiUTCcZwXE3Y/I3oilTPJ9o3f+vwCID9CO4jXjOOXuE6Vri9JUzRdBJScunld1WUExYTkYnzE2s2pmq+IkGEn0NigivSSm2SsT4/E1E4d7R9+FLt1y/7wAwCIvvgS9TyvpCTjxfF/34fMVGdsWoY5suxPPznBLQVBGDtkaJ8bb3Ac5/DZmFTzyMNjPf0WhNBriqojtI+QQQcH/g/LShvMuQD3HkxMnuc5juM4LvlDcs8Y40EIzUMIgHaPHOci1c2eN03zrfe8HIQlDu/0SCsO1nueCPCWpnsU7k8bU/OAigh5T9M5QCbQhpg7xgnSfkYUAKZpvo2eO+aE514AIHlt1Fu67+1mTd8TJV9+LbJ3r9SkifP7Emf1anvlSrFdO7l379ATT2S8MuFv/ZCZ6oydWGf+Em/vXuO9qbXfmdKmTZvk1arJNMeHQoeBg7mPEHpX1YbLykOJ+G1xc4SVQAhNUrQpqsYD3JUw70uY6fsUBMEwDI7jBEFQFEWW5XGWPdajV0rCTM+bcrwuvi8k4h04TgC41Yj6Ee4u8CalHTkeANZ5nnbol1M9jAfHjduMWJjSe43Yt4494ih9fVP6GlECMP1IT+PdI3U/HqGotxux/Pz8Luec82mjJr5A0F2/3jtwAARBaNiAxuOVAx91t+8QWjTn69Wzfpl3sj9w5h+DjdyZP8ndui3+7bfWgoVcTg25U6e3vv/uDFF0HCd1+Whys2QRevLf6TXp6cP5OxNxOLRF+wNWPPXrqRsxxhzHAYAsyzzPU0oH79kXxmhUTg3btlXbnuJ5kUjk2I0bAaCc0g4cDwDLXacZxyc7vjfjuO0eSf/jYoymJ/9zquZzgALA2ER82vG+PIbJaiZGxYcV0Y9U1CM2FGvG8R07dvxX+w6aoiBJkrrfGHtrsr18eeKnn5EsgyhQMx55Ybzv/nvl83qb//5Mveoq5GM9IJnjYyN35r/kefaq1eGRo0LDhntF+30PPxQYPcrduSPz0ktbt26dPsROzp8kfzjaQP5o4/rDpWZjJEmatL/k8V2F/YpLXqxfMLlObVmWJUmSJOlZTtA0rW/ceFPTnzr6EJsD+N1zf/QFbjdiFqXllLbluDuMmIKgUVqROI/QMs+dqvnClKTKY/oa0UnqsbJ1dMK0KY0fNgdVgI9w/jM/P79Vj3Nnjx0nl5d7u3cn5v4in9Vd63crkiRSUa5edilWNenMM5w1q8MjR9NQGGzLWrbsZB8BzD8DC3fmRFHbthYsCA0bHhk1GhDyDXjYd989SFVjb0yy16xBsdjrNfNeFcTJgviOIE7ixRd4YSgvpCf74SmfTHZ8PKlkfxFzn0WN31XlpUYNPmlQXxTFIYV7RFGUZVmW5deyMjIzM1VVvT9uPnPYBVNPK+rv/iAAUIDzBDEf4/Gqtp14AYRKKZ3rCzwRN79zndTyTF0xroFwPyOqHzpXY8JxahCGxc0AQumLTD0mK2s8N/WfyUmb/Pz8uZ0617ruOrVL54xXJgBC5MCB8KjRYqtWXJ06fP0GFCgOBkgopPfvTyorzJmzhHbt4rNmASuCYE4Am5Zhjo9GY9aCBfGvv/ZKy6QzTtfvujMyZmx03TpwPeA5rOtSl65IFHN69552oGTlypWpyXcAQICSEzVV/GfnB+dwjlG4hTEexQsZCA2WxKysLL/fL1B657btFHMTmzeTXBchNGJf0VM5NRBCmZmZrutalpXaYbJR19Nx8+m4ucYf/M11dUJKKDlfED627dYcZCDUPhJKzucMV9TkNUo7PNLXiL6oalVOoj5qGulrOQ2T1QBCgw8tkqmktGFaqWIbjk+fKTKB5ufn/zL+RfGjj8Ru3QAAB4PB0aNLL7mUHDgQeellJEtCi+bWvF9RMEijMaFhA/ncc51t29xdu6zffot/+51yYZ+TfVAw/79j4c4ch/npp/HZ34LjyD17yr17cbVqAYB67bU4pwaXmZX47bfEt9/5Hx+UXHx1VIvml19+ued5qXBPJmyVfD92zWKVlH+c4xsj9CCHeZ6XBCHZbGDQth0vN23M8zx/sGbmhQb179+zL8u2n8rKcBynvLw8WXoPAMs9N9X84H3b6ivJ8xznMdPYJyvXi9J810meUL3FiE7XfCFKklefhikFgMxDh+3PK5oJdKnnjla0ZNXj6IQ5XtUGy8rYtAoZh8K9Riy1vuAe8p8WNIIgxGvU+KVdO23lStSxI5dTI3k7zszgmzShlkX273d37BDbtqWmCR4RWjezFi3W7rwjNHSY0Lixu32HMW06uK5y8UWs0wBzDKzOnTk+87PP5XPPqbqeaurez79Qr7yCuq6zdq357Xc3Lfht9erVqZl0ODSsjxvuVQ7ISQhvQOgt/o/aR0mSHredAKET69Xl+WS2c8k+YrZte57nuu79e/fxntffscPhcJW2BP1lRQawAK4VxW9sZ3TCnKr5mnNcmNJtnpcsglziD3aOhABgkKzkYJzexnKq5iunRAK0yXNfsxLpz7NK34LHZCXZ+Gyq5vOApsb++fn5M6+6OldV6f79pLTMP2yI2K5d6pVXDhjI5efZy5aT8nKcnY1kyd2+Qzy9GykuyXjjNXfjpsi4F6TTu8a//xEHg6zXI3Ns7JufOT71qiuPluwAIPc4Nz7729CjgyKjxyDPe+ehh2rWrAlplY6Hz56n8IdKFbBzHPcG5kZg7iEOvy0KSaIoPh81whiPz8tN9rHxPO/uLVuv3LkLIZT69Tdq13qpVv5EXnhZ1XHa2PZhWWnFcS04/pVEfIHrXiaKb6h6CSEVlGQglFqIY7PnTdH08ao2PhHPObQTZD8j+qhpSAja8VX/5L3HiKUX0jhpv2Ic/HbJz8+fKytZGzbIHTuQ0jLk04VWrf6zC4S4OrWB45SLLiRxk2/cCMkKX6/A3baNeq6zZo3YuZNy+aX2ytXY79fvuP1kHxTM/+/YtAzzZ1Hq7tyZ+HmO9euvgLB87jnSwEf4goIAwNu5uVdddRUhJDV4T0rVQabKJQ+/eJVSOs71EgADeAwAwsEvgLejRiYl82Xlfb9PIMTzvOTvvlavAGN8046d7ULhvbLkIFw7EecIvbd+QUVFxVRKd3juU6YBAG047g4jNkHVAIBSWO+5KkKbiXc2Eua5znm8kHwaBtB70xrRJH+YrvkIQISSveSPypn3NZ8DNL26sa8RTVVhTkjEH5KViYn466o+wLH+5Q++3KTRv2rm640bOdu2RV+awOXUEJo0RoKQ/o7ydetaCxb67rvX+PBDrOuBxx8rve56Golydeskfp4jnXGGes01zoaNiOPi330n9+zBOhAwx8DCnfmvUcuyV6xMfP+9s34DV7uWdsstYtcu2O9PbdC6detWrVqtWbMmdWY1Gdx3OW4dSn2UegCPyRIcWsYOAE8mLJnSwZIIADxAcjw+Np5oaCZ+l6XX/T6EECYkOafveR4AUEoxxlmWNaBFMwB4bMfOQc2aXldU/ErhHtX1bI7LQDBAVij80RMmtWjGNo+MTpjTNF/XSOhdTa+kdL4/0D0SrtI77H3NF6V0hedOODilPlJRczAGgFYcP17V9hCCAV5OxAHgFiOaWiBbABAEoUYg8PGwIR0t6/QffwYjxjdrhnNzrYULuYICnFV1bWuuTm1SUQ4A0jnnmJ9/IbRprd/WLzz6eWyY8S+/ks8/X+rSWb/nnvCIEe7uQmfLlj/6zDDMkbBwZ/4L3oFS67ffEj/8SCorxU4dA0+MEFo0hypzFJ4Hu3a9gvnePH+74xaA56cAAJUYjZal1FbcoVerAgCldJTGUUp5SimlQxN2DtDdhAoI3VIjK7VZakIGDib7kD37XqhXd+COnSGOH1NQ95Fdu3lK12v629mZ4XD4gQNlHUVRJ5SXgQcQEBIAPKABhOb5Aqs8d6rm20c8AVBbjntR1R41jdSMOQAkR+L9ZeV1VfcjFKF0C/FGHBywv6vpgxLxcao2RdMFQBbQEkInqXp/x6pTs+byevV8ug/9+BMBQJIIohAZM1Zo1VI++2zzk39TMw6EpJ8U5WrWpAmLVFYKTRo7deoYH/xLu+F6HAjy9et5ZWU0GgEAvqCudtttiR9+TPw8h4U7cwws3JkTFZ34mrVoEVIUpVcv6Zyzuby8I2wz4RVn61ZSXqGL4kuKutYOPyNL/2kCk3ZhanqvgvR8p5SOjEQtgGd82ggzngEwLBhAB38l+e9kuCeT/Yn9JcWiMHDn7rG18yml1LLG18pP7rl/4R7Vtkt57mHAhJBRhKgIbfDckQeD+33N97BpAMC7mt6Qw+/b1lm8MFxRsw7rkPNqWiXMAFl5Q9V1hCKU3m7E0tt+vafpMocLNH2NkqN0aO9/uD8AQOrVmWb05VfEdu20O+9wCwvd7TusRYulM05P7RlnZQHPeSUlOBDAwSBXr8D6bQH2+70DpVK3btav8+VevQBA7nEuICSfe87JPiKY/6+xcGdOlO+hB8U2bcROHZF61Is/9QcfqLj3PnDd4JMjutSoMeaqq6CsLJnjyQ3S2xJUCfdHwpFsj+ziuSeDgUcjMZ7nx/h9h3ciSxbbJG9/srgEAIURmlwzhzpO8l7btpOLaL9aM9e2bdM0h4fC+QBxSRyI4GbTnaLpHsDdRqzkYJOA241Yf1mpgVAFpbURTob1ZE33KDhAXQCHggPUBrAodQA2Em9iIg4AA2WlIcct9AeWuW5/07jbtuZcd32tov1C/Xo4I0No3hwpSvqTJ+GI+eGHpKLS93D/ygGPRF54IZg1RmjWNHkv1jQcDHr7irjcXGpb2g03hJ8bSSIRuVNHEgo5Gzd5+/cnv1NZsjPHxT399NMn+zkw/xh8vYIq5wAPQanx3lRv69bA008KrVrpPl/ngoLPvvsumePJmsX04plUzUzy5yWqMldVLjHMsyx7bNCf3oLmiD9MLSreywsjszPXiGJqriZ97exkZSSldCHHfcdzP3H4fo+04jhKyE6PvKbpmQg14fifXecRWVEBLhGlzcR7yDQA4FlFzUQ4AdDfNL53nJ9cZ47rzHOdBa67yHWXuO4jsnI2L4xPxN+3rYaYiwF05Pl+stJM0zP7P0TCYVJWJp93Hjp0zoqvVSvxyzwwTemMM6xFi8HzrIULxVYt/yhGwthevZomEkLzZomf56jXXMXVquVu2KhefLE1/7fsT2Zg33E62zBMCqtzZ/425qefmp986n90oNilM3XdxA8/hEePeSC3xoYNGwRBSPb8SkVzlT4zd1VU1nKc/Tw/KSOYSuoq+Z76uV/MOD+euLlmTnKiJlU1n6q3IYQoikIpdV33vQNl2zCWKHEpDQPso3Qi8QghLyJOA7iXeo7jpK/CmlpY9QVV68Dx813nqWMu/fqWpnMAJqX9TUPX9d/79/ft2et/ZEBoxBPqZZfxTZuIHTumb5+YMyf29jsZ419I/PCjs2kzDgbc7dv9I4bz9eoBgPH++87adcFxY+HgS4IjrWnFMMfFwp35eyR+/DH21tv6vXfLvXrZq1Yb779vLVgotm7l3HTjdU8/XVFRwfN8+iRMKtwfO1AmUzo6vyYczOX0MXjq+ExF/HOhcF3X65udmarDGV4ZesanJ3/9bsPM8YhKaT4h2wW+oePe7NOS43fbtpM5ntw5x3HkIErpb77AmdHwSEWti7lUa4EnFfUcXugR/aNHfPqafOl+8QV2EdLPiOq6vvjRR5VZX4vt2pPyMnv1GqF1q+wP/5W+MbXt0GODhebNxHbtIq+8kvHSi7HJb3v7ijLfmnSyP0OmWmFz7szfQ+7dm0SifOMmkRdfshcspJQKLZr7hwzmGzacOHHiLbfcAgDpk+w3hSNNHCfC8RNq5SGEkgXb6b2C04fhkHblKkfh1qwMODjz/mAkWooxpfSpSLQMoQmylDwr+2I84bre9xgll89OfVWkzBLlrx37VSc+QlFrIbzAdQGgLua2prUKeDZuZqtaqrpxUFpXmdSNAFBCSQOMf/MFLqAe3rhJufTS+Dff6P36UttRLrywyhuFRFG99uroKxPFTp3A9ciBUt8jA9h8C/O3Y1eoMn8PEgpR0wgNHuIV7ecbNcJ+v3/wYL5hQwBo3rx5kyZN4OBJVIzxM6XlHEKja+W/kV8z/YLV9OaRyRqb9B4GlNLRociQgC/Vw4AQohPyuqoQQp5QlRcFPjkwHxlPFAFUAJ18MNxd103OvaT+GtAQmmglXlY1DdB9Ziz5nRKmtC7GU9JW1UiujJpqFbnac5PNhI20v3ivi0W3Eu/MaHgO5sv27RMaNZS6dnV37tJuuD7x/Q+ktKzKeyV16cLXK7DmzeNyc5xNm1iyM/8LLNyZv4raduK77ysHPmr9Ol+7vR9fp7a3f79/8GNC0ybJDXief+KJJ1Lljxjj5/JyP66RXaUbwRGb/aY3mBwVjg7x6+mj75GhyEhdS82uAEAyx/MIkSkdhyA5Zh/v/jEpn5zH/2PZEIDJqlZIyNC4kSrGfMiM5SJsUwCAN1Q9mfLJEfp7mg4ALybi9TGX3PJVVUu9CXcYsSma3jkSipccML740ttXlJj7CzFNpGnxb76p+pbxvHrN1daixTgnx1m37mR/gEz1xMKd+QsotZctCw0eEps+XendOzh2jLd9h71smf+xQUKLFukbtmjevGHDhqZpplfOHJ7pR8z65OB9VCQ6LC3ZCSFjw9EhulplsgUAXnHcIoBh9I+Je8/zbEqT0zIIoVclOdmChgLICL/q2O9pvvQ2CJWUOkDHqZqGkAh/3LzEcynAG6oOAP2M6GuqDgC+Q0917iHkcVkZV1DHMwyka0KL5pGx4xDPmV984e3ZW+WdEzt0EJo3Q4IQePaZk/0pMtUTC3fmT3K3b4+MGRsZ+wJfv37GC+PUG67HmZmJ+fN9gx4V2rRO35KEQubrb0z0SM2aNROJxH+1QEdqZuaJYCCZwMlB+qioMUhXU5MzKaMclwAMIF7qrOx4QAM9J3nvYxzf30oQQt4R5XmeawOllN4RN5ID+eT+Y5RmIFwT4ULipdblmJiIN+P4xhw3Om2Bp9uMWPqSqk/HzRYcX1hYKPXrR804l5vLN2iAFMUr3GN88IG9es0hbx/GylVX2cuWs5E78z/CTqgyfxLfsCExjMDTTwotW6ZurFIZAgDOunXRSW8CIdnPPPMSgttuu41SmhqYV1kvO3XWNDkMT26TajGWMiRmbOFwegVkSmtKL8QICKT6EyDEpUb3DXk0kBcaYEyB2pSG6B+/DgAI4EVFHWgaD5ixn32BOY4zKmH+7AukXshntnUWL3TihYdl5UEzNlXz9TOiTQ9dPK+fEZ1Swlnvvue7+SZzxsc4O8tetUrq2dP85N/WbwsyXnkZOA4whzgMGHO5OUK708xPPwu0aME6szN/OxbuzJ8XfObpYzUmdF1z1tfmjI+lLp212/rhjIwWntewYcMtW7ZkZGSkNwSuUiGT+jkV7un5fnc84SI0RRTg4DxMcvxOKZ1tO+dzmB4MfULIi7zwkGOlNnMpjLctSulkWbUojVKSugsAmnP/+d/BBPqupu8jZLisjkqYAPBiIt5W4/cScpckU4CdxBsoK7vTSmuSEori7dljfvYZEnhn5SoSjZKKSuB5r7Q0NHR48oUB/NGTIPDcM+EnnmLJzvwvsHBn/oKjJ7t3oNSYMsVevUbre6tywfmAsbtjhznj45f37FtnxitjxpT69SCt53vyt1JDeEgrhCeEpI/f63pkuKZA2pWoyX9/YdkX8BxNK40HAIlCarOHBHED+eOE6g7iqYDGWHFIG7mnGgVs9rwmmEtQCFOSn5a8e4k3LG5O1Xx3S/JbVqITx99qRFPLLSV93qrFBYjTb+sndetGyiuib7wRnz1bufgi/yMDKSXgeUAIeIQSDzyPb9gw+98fn+xPkameWLgzfz972bLYm28hTQ8883SyZiY0fIT1yy9cnbpKxw4FrVqNeOdtzXG4g98N6fWOqaE6x3GpNjIpz4cig/06eF7yP1NzL8/abgwg/eQqAIzlhfusROo/W2B8T9yklE5Q1IdNY5KqVbmCTzx4fvR+M/arL3BWNDxe1dLX5RgWN6doejklK133Hkl+MxF/QdXsQ68CrFOnjnJaO3PGx2L79lzdOoERw3FmprNmDXWdI7ZaY5j/Efb3IPN3orZt/OvDyNgXxI4dgyOfE5o2cXfsiL460d26Tezc2XfP3cHxLzS64/YGDRpEo9HkmDo9u9PLH6sURCKEnqsMDcsIVJmmJ4Q87ritCLmBO2SZVgAIwCE18vzBHzIAAYACh9S6IAA+7RYeAQDkIFxl+BOn8KhpeAC/u05rng8gdJ8Ze+lgTaQgCB07dtSvuxZE0ZzxMQAgXff1fwjXqJH8T4b5P8NG7szfKfLcSHfXLv3+++Rzz3G3bI2//bW1+He+XoHvkYfFTp2SXbQ4gIkTJ/bt2zcajfoPLvGR3kAm2UIyNeeenJlBCD2VlYk8Dw6dvUEICZReyuNUiWTyh+cwd69rp/ZJKd3m/TFjE07FfxoEh4T9atcbLqsbPbfFoVNPD5qx11S9nxGdpvnuMKJvafo7mp76VpAkqU6dOtjny3zj9f/sWZYzXn7pZH8yzCmHjdxPaRV33W18eOg6y5RWPviQ+emnf26HgeeeDYwcydXMjYwdFxo+wisr8z/2aHD0KKlbt/T+iDVq1HjhuZGpjl3JGw9fcLXKyL3KmD31786UwmFzMtmH9k1aoPuT50Ufk+QHzRgAGIfGe5XuXPeZsV6C8HwiLgK8kHaxEgAoCACgrxEFgHuMWBOOW+m5Q+Q/Zuzr1at3sj9VhgFgI/dTWXm/291tW4Hj1auvQqIIAN6BA5UDHkGKQsor/vRujQ8+cFauElq28A8bIrZte7RSkNwJExo2bLhz586MjIwjdn+sEvRV5nBS239jOX0EHg6eNU16EnP3uHb6AD15oFNKGx8ciaeauSe15nhy6DPUEAKAUkp78Yd0Ob7DiI1S1OEHW0WeFQm/pempSZ7c3NyT9HkyzCFYuJ+iaDzO1cj29u8n5eXmF19q111bds11/hHDEcd5O3Z69eoBgLVoUeyNSZmT36qy4sSxBYYPc9asFVq3OkavWmfzFqFBg1HLll3jOLZtJ8ve4dCGwMk5liqD9+S9qZ9fTlgXyyI6dCVuSmmtw9qdJg5ejpS86HSorDx7aCNfCYEDh/xKnFIA6BkNbwxkVHn+dQ4tb7/HiM3zBwAgNzfXXbjIUuQjvPbULQhJp58ODPM/xsL9FIUURb/3ntATT9JozJg6Tb3yCr5hg9DgIVyNbBIKOatWAQD2+ajt0EQiGe7xb79T+lxwIjuvcoVqOlJWZn7xReKHn4TWrfJeerHhU0/t27dPFMUjJvjRZmaSG7xoxh9RZPC81Pap06d3Olb6ydXxsrLe85L37iMEAGoe9vcEAmQd+n1wdjT8te6/OBYpJmS2z39hNJK6a63nDpSVl9LW3lvreov8wbe6d3c/+CCGDu78iP20KWXhzvwfYOF+ioq8+JK3b5966SXhZ54DjM1PP1OvutJZvYbaDt+8ubt1S/ipp+2ly5CqUtO0C/eQsrLE9z94e/d6RUXUcYIjn/uvHs78+BOxQwdn0ybz358iVfEN6C916wYYDx8+vF+/fjzP+3y+5Dj9sp27vqpfDwBS51FT9TPpZZFjY8YgTYWDkZ2UurfKsD0boRJCAeB5RR1iGgDgP2xk7VC6znMfkZWX0yL74lgEALYQrz13yP8pLyTi07RDWjk+aMbe1H1DZn7NX3+ddtedfN26/7mPLZnAnAws3E8t5kcz1BuuBwBIJBI//Sx16cLVr+/t3GnN/YXGosBz4Hk0EaeGGf/6a+mss7y9e+1ly6KT3gSEsaaJnTo4GzYGRz5nfvGlesXlJ/qgMz42v/zK+v13r7hYaNxYv+N2rm5dGo8769fXnfdro0aNioqKHMfBGN+7bkOpqqSm1A9vDJn0XDgyxKenj9nTHy69/DGZ8mWUVlICAEMPTsVwVU+gwueOfS4vxI4UxMWELKLOGEWjAEPjfyzWUUSqTNHDIKA/XHAB/9PP7u5CqfuZSp8Lkh2PGeakYCsxnUJCw0d4e/dmTHwV+/2RsePMj2aAJOFAwN21C4kiDgZxTg2EOXfbNhKJcPn5XG4uCYcBIRwMil270EjE3b1b7t0bYWx+/oV+5x3y+ecd90G9vXvNT/5tLVzEN2qIgwFnwybqOmK7dvbCRcBzQqtW+wvq3vzaa/1jZh6CSc2b8TyfnH9Pdv5yXdc5yLZtz/OGlpY/E/Aly2xSq3CkVLmFUvqcKJdSMsFKwMHEB4C3Nf2utMtKk37wBc47uOhSFcNltQGH7zBi72u+Ww6u0/SOpt+ZthNd1xcsWNCgdm17yZL4rK/dXbvF9u2Uiy4UWrZkDQaY/3vsmKv+wk8+5W7dBgDu1m3O5i2JOXMBwF65CmVlIlmmpik0box4XuzcCRwXBJ7aNpIkrlYtYsQAKA4GpS6djSnveqWl2OejsZj55Ve+Bx9IJbuzfn3loMcOf1wai5kff1L5+GC3qMg/fKh+7z18vfpIlklZeeL7H0AUkd/P5eTklZa9FLcMnnuhTu30pfWOeGXTY+UVuwQeDhutp6RPyifVwijjsI0PT3YAOPrK3zAqYd5hxF5VtVuMaKoy8s7DdpKbm4skSerePfj8aP+Qx2nCCj31dOWAR4wZMxK//nqyDwTm1MKmZU4BHBca8YRy8YV8o4ZIEqMTJoidOyFVQRgrF54Xnfy20LoVzs2Jf/El8vlwRlBo1dJZvcbdtAllZnLZ2Tgjg7ouEkVr7i/S6d0S8+b5Hhkgde0CACQSMT/9LPHtd2Knjt6+fVytWqnHtObPN/71EU0klEsuQapifviRu2s3rpEtn3uO2K0rX7euV1pqfvyJvXatu217bc8b5NdF00yeWUUIpTf7TRfiuA/SJmTgSCmfvj2l9La4+aKsQKqHDDryX6sPy8quQ7uAVTllCgAiQgAQPMr3Sm5urjNnjmmYXlkZKa8gFeUkEkWi5BXtjzw3SmzfTj7rrJN9KDCnEBbu1V9gxPDEvF+N9z9wVq+mjg2uF31+DJIkb89ea8VKsX1769f5fL16YufOJBLxysrcZcsQBVwzl8vKctas4Zs1A4So53F161LL8j/+mHjaaUCptXix8d40oMTX/0HpzDOrFP9J3bs7m7e427fHv/wKaarUrat2Wz++SZPkpUwkFIp/NTPx3Xd806Zcbm44GKQ7t7uua5qmruvp5TFV6mTeyQiiYyZ7lduTUa7BUYsyU3wIlR8a+m25qv933GvEJmv6XUbsPU2/7bBhe/fu3b2vZlrBIJedzeXnCa1b4cxMnJGBgwEajfKNGp3sA4E5tbBwr/6ik97U77rT+vVX7PdbCxZQmkjM/03q3Em743bj/Q+wromdOyd+/NGtU2dbLFpiGA1cLwshoaxMLC3jatd2t2zxSkqAUlJamjHhJaF5c6+42PzwI2vRYvm8XurVV+OMjCMWhOh33gEA9tKlQsuWSD24qAWl1qJFxtRpgLA+YICzdq3QrBlesCAejyuK4nle8szqMfIdjnIGtYrUyB0hJB4/2yELoQpKB8nK+IOj9b5G9C1Nv+fQEDcpBYBCQqrU1QiCcJMkY8f1CvdgTeMbNxbbt8OBwPEfmGH+N1i4V3POmrX2kqXhffvcnbv0vreQaNRetIjGYtS24zNnAQCJxhLr1v3s9xXv2I4JuUqUvrKtOpgzrcRjQJvlZE/uca7+w49IFKUzzxAaN058973xrw9xVpZ/xHCxbRtSGYp/8aW9ciVXt24yzasQO3U65L8Rir78inz+eeq111TcdQ8g4HJr2hkZjuNQSkVRfGT7zolNG1eZljnGdUwn4va065WOVkHwiGm8pGo56JCzUJWE9peVV9NCfIBpJIftVUohJUlq/czTmig6GzZav/5qTJlivIvELl3ks87imzdDwjHm8xnmf4JVy1RzzsaNABAaNtzdslVo3hxJor1qlXbzzbEp7wLHAUK0dq1zC3cPDIV78oKMEAFY4jrJOYfhstqIww05PgNjUdezXp9ozfvV2bIVKTKNJ5TeveJz5rgbNlLbxhkZ0lndg6NHnchTslevEdu2Sf5MKipwMLhq9eprrr32Ccv2C+IrdWurqioIQrJshlKarJmxbduyLNu2kx1pvDTJIhlyFFVaRR77gJ+u+bYT75m0L4Ppmu/Wg+UxVbyiag+bf1RGduzY8ccffxQOhjgJhezlyxNz5rpbtuIa2fI550jdunF1ap/sw4E5hbBwr85Cjz3u7tqNc2qILVq4u3e7e/aAZSNNc7dtJZEoV6OGu3fvVkm8aPeuByW5JcffHzeSefqeosHB3lgA8LqqV6rKNTyPJRnpOtiW3KuXu3MXV1AXB4LK+b2Fli2Rrv+5J+nu3r1r/IubvvzqPiAZGRnBYDAZ7oIgJBu+E0KSBZGWZSXz/UTCPX151cPD/WiRPUXTKymNUfp0Wr5PUvX7zCNU17yu6g+YMQAQBOHll1/u169f1S0odQv32AsXJub9SioqhGZNpXPPZdM1zP8NFu7VGiFuYaG9aHFi/nxyoBQJAsgSkmRSVubuKQRKPZ+/w/q1sVjsbU2/2zQkSXpW07MpvScaSWXi45J8oSAqCEVq5dfPyOBr1ACOF1q3kvv0EZs3O9Yye8dAKbVtcuBAbMp7iZ9/tmOxcyIh27Z9Pl8y3BVFwRjzPJ+cN0/Oxdu2nRq/n3i4p/oAQ9qyTUc8I5oyXtXS8/0FVXvs4Aj9iHRdX/z00zUbNpJ79TxiRx1q28npGnvJEkAo6/3pJ/vIYKo/Fu6nBOq6FXfd42zcKDRq5O7ezdWsybVoPjUYuPqlCW1ikcmifEfc0DQtLy8PIVReXv5Qwu6JsQRgA/zo2MmY+6Fh4/p+f8Zzz4od2mPfwRlnSmkiQcJhUl7ulZTIPXoc8sCEUMuiMYOEQl55OSkr9YpLyIEDXkmJu2s3Vyvf+nU+kqREwN9j107bthVF8fl8gUBAVdVkN7Hk4D11NZNt27fuL+Zdd7ym/pVwf0nVBh4zr19QNZPSpw7m+zEmZwBA1/VlNfM521YuvVTqfobYvj1Xs+YRUz45XSP37Hmyjwim+mPhXs3FJr+tXHwRl59Po7GK+x+gpuHuKyIHDoAkJSKRKCVbPXKXnQgEAnl5efdGoortjFLl0tLS1Og42Wv3fc2n1KzZ7ZUJMseRUIiUl3ulpeTAAa+0lITDYNmAAClq4OknhVatUo9e+VB/EgpTy6KOjTUN+XxcdjZIEhIEe9lyoVVL9coruTq1TYTatGtn27Ysyz6fT9d1TdNEUUydTU3Gt+M4V+0ryrCssQF/+uD9GOGevnxH+szMAFnxACYeWsZexThVsyh94mC+pyZhDtewYcO5Dz6k1i1wd+20fv+dxgy+UUPpzDPF9u24mjXBdYFnlQvM/zUW7tWZ9et889NPvdJS5bzz5D4X4EAg/v0PsVcnegdKbMdtV1oyV9VWu+6E/LyBgGqZ8TBGL2ZlmqZZWVlpmmZqMY3kQdK4cePv6jfgeAEQwNErx7M//s/qH+bnX3C5OTgrK/zsc+Jpp0kdO7h798W//ZYvqKfderPQokVys1gs1rp162S467quqqqu67Isp/cB9jzvwn1FtQ1zXE52cn7GcZz0fE9FfPqY/WjhDgDjVW3QMQfvADBW0RygI+Jmle1fU/UH04L+kksumT59evJsKo1G7VWrEnPn2UuXkkgYKQpfr37g2ae5nJyTfTgwpxYW7tUctSxr/ny0fxD/AABOX0lEQVTzs89pJCJfeKFywfnUMA9cdvnAZk1mzZr1qu7z8bxf16e0ae04TiKRiMfjhmFEIhHDMJIZ6nle8iB53x88/eyzBU1FioJ0Hfv9pDLEN6iPVBXrutTj3OQj4mDw8KdhLViQ+GWes3YdkiQuK1O9rZ/QvHlqbaZYJNK6bds7bKct5soFflKNbFVVkzMz6V3AHti6fXzt/NTke/qZ1SqD9/RMrxLuqQN+iqbfcfRp9yNKn5xJ/SwIwifjxp3VpKm7p9Ddtdvbu4+EQuB5SFW53Bx3XxGpqMB+v/D/2rvv+Cbq9wHgn9t3uaTpLhQoe48yquJiaRkKiAO/LiiIigPZDoaiiIKKqIgiDmQIbkVxowwFRC1CQYa2zJZC90guyeXG5/fH0SNN0jT4gwba5/3ixatNruklKU8fnns+z6djB+7KK9juPciE+Ej/UIAGAYJ7g4Ddbs/mLc5ly0ibTRg+TOvRY2Offo0R5mnmhFU8TtMbO3ZQVdXj8biqSJLkcrlkWVZV1fghmR5lf3jOk5YmTbHXq586Jf/2G9O5s+5wYKcTu92xby2r9TS0wkLvn5nyli3q4SNkUiLfty/bo4dWcKpy3Ze/f/TRAV1fyrFGWOd53mKxGJUZIyJPyj70UsvmZuXdDPH/ObivFG0ZNZfRazWJFxoR5Ay3ZLVa/0y71BIXRyUlUikpdPMUqlkzKimJjIkheB4hhCVJOXBA3v6bN3Mn9nrjP1wb6R8H0CBAKbC+wxjLsl5RQTdpQvACGR9fOf95jPUP+17df+s2RbSsT2n28v6DV/6RmW+xLGndkqZp40omSZJvEFRGVWRHCPEIqRt+csfEkHGxas5hMiGB69uH690bIYTCW09EJSYK118nDBmsHj/u2bjJ+d4KevNmvbQMx0RPoEhZVQSfa57m/xgQQpOzDy1q3RJV32nPKMdrmoYCutfNT0PkLlJtaU3QyZGmVz3ut8XT3Z/2VxbZmjY1QnkgQhTZtDQ2LQ07nf+5YRSAswXBvX7y/vGnmpen5eWpx4/rRcXY5UIkSdC0mpNDJiYSDPNkafl+TT/s9Xq93vtbNp9cXrG6dSukqgghjLHD4SgvLz9GMa8KFgYRRpf3K7p26403Rn35lbExE2mz4opKvbSUjI3VcvPkP/6w3HxTOOemHDrsen+N58cfdaeTbtaU7dnDvWcP8pnAbmbcuq5TFDXl3+xFbdugqtI/qh7faxoEhoJFdt9bTmAdhXRc158SLE9V343P172Sc4Vo+6x/P85uNzahDQ0iO6hLUJapn0ruvIuMiaGaNqWaNaObNSMT4vXycu/vf3r37sEOJ9OpY+XGTZcfzkEIJScnx8TEcByHEPJ6vfn5+YWFhR6PB2O8jLfc41O4sFqtmzt2Th4yWBx5i+7xyL/8Km//DStetmdPz08/002acP36iKNG1XRKWFU9G35yrV3r3Z2FKIrrfZl4x+3sZZcRHOcoKOh62WXGeBlBEERR5HmeZVmWZR89euzltm2McG9UYHwnvJuMC7+h+2R0n18PhrmC5cmaYzdC6C3Rel/Iuvxs0XpLTGx0j+5UQgLdpg3dpg3dsgXVuDEZFQUz3EFkQeZeP8W++SYhWoz44vrgQ+nDD/WiYrpFc/3UKXH0aOHGEWjQwLj778/NzS0pKdF13WKxOJ3OwsJCWZa1qrGL97mlFaJtjE9812QPGRPj/nmTXlSo5BzS8k9gWcYdO5J2O6JIrk/foCejnTwp/7ZD3rxZO3lKKyqyjh0rjBhOWG24vNy7a7deXKQczzWONGsyhmlHji5q24aoumvK0WMvNm0SmI74DZkJHDOwhBceChbEQ0d2hNB91XfnCPQKgYbGx3FXXkElJanZOe516/SyckRTEOtBxEHmXv95d+2qfOZZjHXLzTcLw4aSdjt2ucpfXPjXp5/9cjJ/saauECwPEsjoLEQ+sVXX9Uc43oKQsZbHarVuTUhMuOkm7HZjWcYeGStepKhYU5V9+5l27RDG8Z9+7PutdYcDV1aWTZ1O2qMIUSTjYpGsaCXF2OHAHhkhRHAsYbVp9qjbd2bu2bOH4zhRFI0LqkbmzjCMMRFhcs6hhS2aq6pqZO6+fxsfmMl7YM6+nOMzXJLv1VRfoRcooZrHDxivycrb70grLo5eMJ9q0gSrql5aquXlqYcPq/9mq0eP6uUViCKphAS6dWvbpImR/lkADQhk7vUf26MHd9WVlpEjjcFV6r/ZjmXLPD/8mHLZpYs//2wxy2W4pCWCZbKum32HxhcSBPGCx/121cZDsixrCHkzd5KNknBFJRkTw6amMl260C1bkvYorGnI6/X71qXj70deBbskzLGEYEEESaU0Y9N6kYkJZEwsGRNNWq0EzzvdbjRiBEIocA6MYWr2oYVVF1T91poinxK88U19r6YaKkMmMKMlx8sWcUrNPe+lWH+UF16oWvH0vCA+5j5zsHLVldTvf0ir34969BGCpqnERCoxke3ZEyFULdZn50T6BwE0LBDcGwTb1CkIIaSq7m++lT74UD18mO3VK6Fdu+eaNC0vKJzJcA973GZTOUVRRvKLEHqRF+6tGnKrKEq2LF95eW++Vy+mU0cqObnWSbbxa9eoR46QdjshigTLhmiqMYN1YOfi1OxDL7VphQLy7qBpuO9vBeOWyQz7sFsK/T/U0PNxZrld74pnroVWYOyby+sMI44dUzHnac+WX/j+/Xy/0C/WA1CXoA7YUGgnT1YseF764EO9uChq+jRx1J2krg/H6LUYeyuSNNd2EgTBMIwoijExMTExMVaGYRjmgK4/LVgQQqOKCg8NHiQMGUw3bx7mjHK6ZUsyNpbguDDP03cODMZ4+qEjL7VpZd4bGLtxzUHfuKsNWftos4kuaXX1+ex+xvkMcH/O43rA5XyvKtw3SU4mLBZh+FBpFYwDAxcQCO4NgvzLr+WPz5S3/IIUJfqF5y23jqTiE+Rt2y3XXvN9uw4KgXRdf4vlKYoSRTEhISExMbF169YxMTHzomzTeSGaIJuQJEJIUZTp06crivIfzqFizlPy1q3YFfwaZpMmTTDGcwjyVa8yyeE04vLjx/NeaNkc1zCH3S/EB70LYywSCIcxyX2U5FhiCdWqmCE5FldVqBBCYyWn8fsg6q13yqc/6v39j7j3ltfJmwlAWKAsU8/pFRWuNWs9mzZjxUu3bGEdfx92uRwvv+LN2qMVFdEd2tvsUcs6tF+4/0CWrnE8Z7PZkpKSBEHAGFutVk3TljH0XB3fW3XJMSsrKysrKy0t7WzPhIyJcbz+BimK3IABfJ+rqaZNEULY6fRmZXl+3HDPrt3pNPOorrE0ZRV4EeNZJwvmpzSlMcYYj8nNs6ja4mZNAh+2psuk5u0VYbcMeBCu7YBqRkmO1VHR9Mn8qDlzmO6p1b67LOvl5XphoXYiX809br333vP0/gJQE+iWqc+8WXucy5YhVbOMuMG5+n2mbRvl32yCIumOHblLLqGap2inTlU8PbeyZctfv/12uleOiooytsuIjY1FCFVWVpaUlFRWVs50uadITrNF0m/XofBphYXy1m2eDRv0klK2eyp2udTjuVjxoi5d5hacWrNmjdEeI4rii7J3QXJjYz+mR47n5Qn8x42SjBkDfn3uRp+Mcbs5geARip4ve3Rdn8JyL3ncqLa03XS2MwmsVuv23pfHdetmue1/WJa1vDz1eK52/LhWUIglCZEkGWWjGje2z3060j8LoMGBzL0+Y1O7Me3bi6PuKh3/AGmPIpOSoq6/nu7Q3v3lV56fflJz85CuY4fDdvAfKjb2zdLSSbJsLheiaZqmaaMf8UmPZ4VFHO10GCEyRPKOvV75119dn3wmXDdEGD7M714qMZG7vDfSNPeXX7q+/BKpGnvpJfxl/en0a+1vvokQwhjfo+MukvuJuBhB1zHGjx09/mKrFiRJopDR2bc+8zrN3C+fTrJbn2V3eYbkWGqxnsS6gvH8kAOBTbaUFPc337q/Wk937EDao6kmyUznzvzgwVTjxlRCPGG3EzDvF0QC/NjVc0Zvtf2Zp+mWLc2rmt49e3B5Oa6sYC+7jO3R3f3jj5f369f7ww8YhjEGQwqCQNM0wzBGKs0wzHivZA5yMSrv/sm7qsp//OH6+FOt4JReWOj6zI1dLstt//M7n7LJU8koGz9ooH3u0wTDyFu3eTZudH//wyCWeYumdV1/m0A8x1h0/YHikiiCWNC8GRkw88tXkAuqVR8QBCGGvYn2mTPE2IFxt/B3mBIEcUyGNysLV1aKo+/ieveG9UrgQgDBvUFgOnQwPlAPHXJ/8612PJdqkswPHer97Tciyh41bVrsNdd027/vyJEjbrfbZrMZ4ZKiKLaKLMuKopitLNWSd1337t7t+vhT9fBh7dRJunlz26RJXN8+QXcKjXpkGtOlC8HzjsWv6WVl9jlPCiNu8O7aFf3uco7j3G630Q35TEVlLse9nZTIVL8WGqK6cvoaLEU/pJxpt6+s4fgQ5ZeZVetyw5wJjAsL5dxcpKiIIErHP8D1uZqKiyMTEqjERDI+joyLI2NiSJuNEMXwW4YA+P+D4N5QKAcPutd/7f3jT7pVK9uUyeqxY87FrzFdu9ruH8907YIQWrhw4aBBg1iWNWrZuq6TJOmbvPvOdjeTd/Tvv47Fr8nbfxPHZBAFp+xPzOauvJKwWE5/03/+rXjiydjXl5hDzNm0NIQQlmVlzx5hxA26w6GXliKCFHv2RBt+NCL7K17l8Sgbz/O8ptE0HWZkNz5o5ZOqY4wnul1BJ4sVh5waZkxcOKHrj/DCiwHFGb8bLS8vEiladzr0sjL3unVM5y5aUZFeVCQfOaKXl2OXG6kqoiiC5+NWvhfpnwLQgEBwbxAqnn1O2bWb6dgh6vFH2e7dEUVVPD2XatrUWhXZEUKpqaldu3bNy8szrljKsiwIghHcjfhO07Qx292IlQcPHqx4Zp7280bs9VKNGnG9L7M9PMGx8CU+Pd38vthRiWjq9CxcVdWdTr24WDt50rvzL++evVjTpLUfIK9C8BzFsBjjp2gmBhETaYr32TCPJEkzQAcWYfwGy5RV3Rn6Cuo0lxQ0cPt60u1aGaz5nSOIaok/TRNWKy4tYTp1MveWOn0GqopdLuxw6OXleklppH8KQMMCwb1BsM+aqezZy3TpbJaDE7//1vXZ52yP7uYxDMMsXLhw8ODBFovFVrX/NUVRZvJO0/R0jn++apm+LMsVX39jFXjbhAniXXcgisJer3LokOf7H/jBg4xj9EoHwfPSp59qeXnaifzTWxQJApYktldP/tpr6JSUyoWLomY8XrHzr1c2/PgPxs9oKq/TfruhBm1U9x05YHiOpB5VvGE2xrQMY3FThuQInOo+z+1CCL1iEQWCmIaQnpvr3LrN89PPvvsLnj4/hiHsdmS3G32fANQlCO4NBdOtq98tgePXU1NTu3Tpkp+fb2y5x3EcSZJm2Z1hmE469r2sukX23HDpJcINwxBFIYT0wkJc6aBbt5ZWrzZm/+oVFaQoqgcP0s2bsz26U02bUomJZExMxTPz6BYtLDffjFSVbtXS/fU32rChkxB2KV6apgN3uyYCrosSwa6UxgXb2dWcP+MX9G3hXWst0PWpvLAoIMef7JIQQiuiop133MVfcbntgfuxqkJjDLhwwGV9cIaRvJeVlSmKYjREEgRhNEQa+bsLVRvRNS3/RFlFhfONpdjrRQipR48SPOfdvcv91dfytm0IIVxeTkRFRT+/wPrgA8LQoWz37lRyMna71SNHTv+ngabF22/3/plZ9s03xmNijCdjtMjj9d05z2/aDKqexRvn8wIijtS2CsmXO7yDZ7td3agaQ/YEXaV7X6afKvBs26YdPRrpNxCAMyC4g2qM5N3lchnrgzDGvpdVD5PEMt5iHqwoyj0n8+X9+6WVKxHGyr/ZVNOmnk2bLSNv4a68EhmZe8B+2co//yKCoNu2NT5lunXlLu8d/fNGjPHrLP8GzbykaxNp0gjrRnx/5HjeqIJC8xGCjnRnEFqga4G1mpq+JFevZScm0xjJsUyscTIBGR9vnzcXyXL5zNnOt9/Ri4oj+f4BUAWCO6jGSN6dTqfRM6Np2h2Hj952qsBomFnJsRM0ZYVPpMvKyjo5aJBnw8/udV+qBw/KW7chhLS8PGM8r15eTkb7N0Qqu3YxbdsaQV87ccL16Wfeffv4Awenq9qDsvsBxetbkBlXVj7z5Kn5yY1WJsSH6HZfqOGw+9JPe8btek4Qwzy4RMeTeCH4fSyLZa99zpO2hx/y7tpVNm26+6v1SNd1h0M9fDgS7yEACEFwB76wx+PNzGz58acroqLlKqubN2vk8WCMjWVNNE2P87hXVbWRKIoy8d13+IxR0toPlL//5q643PbA/fLvf7i/+QZhrJf7Z+5YUby7s5hOneQtv1Q8NbdsyjTPjxuYq69+Ydj1T0hOVNUPYyTsz1Y6dIzn+oT1mrZh8iI0EYXqogkqiQx3idNMt9SzhuIMP2Uym9oNezx08xbirSOpxo2VgwfLJk0uHX9/+aOPR/otBQ0XXP8BCOm6eviwvG27+7vv1cOHscvV0WY7mXfcqMkghF5t2eLdv/ePSm5klOBJksxwOc0NjLKysrIZJrmkmGrUiL/2WqZrV3HUndLqNXRKCpacpD0aIaQeO+5et842aaKWm6uXlro+/ZRgWTYtLWrGY0ynTo7Dh3995WXfM5qGUUuP/JjNynEcq+vGcPnA7TgMC73qZIpA6plbjMunvscH7XanUI3BPXAFU02LnuQ3lionT+rFxdgjEyxDxscjiuL69aNTmlGNG0f6rQUNFwR3gMoeeVT95x/scmNNQxTF9uwpXjOgw3vL8/PzMcaxsbE0TY9v02r28dyZFoGmaYqiVFUdLTnMTTz+njylaafObK9ero8/Zjp3Eq67Tv0327HsLb2yEmua8513PRt+opo19f75p3Y8V8vPj5o9i+t9GRkba5yAlp1TUFBg7gO1lGIOYzyZIvnqDTN+ezCZwbqCQChYZ2RNzI1hS2peyjSutt1TDe3bt8ceD3fZZVRKMyo5mYqLN7euBSCyILg3dGpODmm365UOLMtMl87CkCH8NQPImJiFnTsNHDiQJEld12NiYgiCyKOZqZJrLkFQFGXcPlZyLhOt/2qaUlpampjQ2OUmY+Mcr7wa9cRsceyY8lmz2Usvdb65jGzcmB6bQffu7Skq9n6+TidJrc/VGseRCCFNk9aurfznX4QQQRCzWC6FIMcrMk3TrE75NswYsTuwMvOiyzOFZQj1dN5uHhbiKZvV+dBLmUZJjhC7p5q0XbstT8xGZz/EBoDzCoJ7w6UePuz+ar28bbt69Cjbs6cw7Hq+bz/CdvpiaWpqardu3TIzM4uKijDG0dHRK6KjphcWGXNmzBg6XnIutoilmpb5zTdxN98sXHF50vtr1cWvUR3al+7bh7OzywTLKprMXbr0+IwZHTt2PHDgAEIo5c47mzVrNmjAgG57/+b37C2trPR6ve9axByM7/d6jB2xzciuaZqxBaCZ2vvG7lNh181NvoE/9CLVEqzP5C3PeaptMLJatGXr2lx31Y0Yl02eSsbEkLExZEw0GRNDRkeTdjths5GilbAIiOMIioLoD+oYzHNvoByLX5O3bqNbtrTcfJNeWcFdcYU5EMaUn5/fv3//EydOiKIYFxdnt9sVRXmqsPhBpLtcLlmWzR+e5wRxpltiGIYLmI31OiIznJWBJ/AoLzSm6WiS4hBSdF3CeglCc72nf21QFEXTNMdxHMcZS6homjaDu5HLq6r6XFnFVIFTq/iufvLdjhVV31B7uWi9O4yJYIbAFaqGlaKtEOsfduyw7uGHOYT00jK9rEwvLdMrK7Dkwl4v0jREEATLEDxP2GxkdLR9zpORfttBAwKZewOl5ebapk7h0nqhmhdVJicnr1mzJj093eVyIYR0XY+Kino8yvpycekYn8iOEJrplhBCRvek34Ps5IWXLOI0l/SuaGUQoSLsxLgI42fc1dJhiqLMHboNZhA3kneSJI2ru2aYzpBcR6j/Ut32nE0+c6905tKxL+P66lelZcr6r7mh11tuupGMj0cIIU3DioI9HvXYMYLjcWWlXlGul5frZeXn670EIBjI3EEoiqKkp6dnZmYSBCEIgtVqNdavntWDvGwRp1RNpKkJwzCUMcNA1wmCIEnSGGtjZO5Glz1ZdaHSLNqoPiYr2gtY81vUarTZ+OXvCy3i9NrOx09Nxffhw4e/PnQo3rQZu91cv37CwIFUSjMtL8/9/Q+ejRvj166J1BsHAGTuoDpjdmNRsXbypHr8uHrs2DtJjXdboyiMM9ySx+PRw17YiaqaF6e6XWZFpaYjjcTcaL40W9prmjATtOe9OYEQPv0dzWuqQS+uOs4+oSnA+mzBMs/tv7t3TEwMM3y4eMMN8o4d7q++dn/1FSEICBFUUqL1nnF1964BEACCOzij4pl5Z2Y3WixkQjydkpL0v5FLCk4ayXuYvYbmYWZsfdMiEoi43y2h6uVvk9GBY65gQgg9TdHJiJhYPbgHvaaKEFqk6RMJ5PdNa1J+9sH9KbfrrWATCKKjozmOIxiGatqMSmmmnTypFRURFB33/iri7PeYBeAcguAOziBjY9ke3ammzaiEeNJuRyyLVBVr2iJ79DW33GxUY8KJ72b6bP79oMeNEFooWOII4m63CwW0qxsFd4zxBILsSNESQtNUhaIoRj89ZGasU2qrabNjoo1v4Zu836+opxCBwhgEZnyLVz3uGbwQ5happvsCLqsyDNO2TRt08GDl+q+9f+2i27eLemQa2707grAOLgBQcwfVlM+ajT0eJMvY68VeBWkqVlWsqrt37XY6HBihjNr6vokqfjeaH89mudYk+Y+uL/DKZoy22WwLEckjvA+h11TFuIJqXGVlWXaRphdR1BKb1Sy7+15rfVFyT6RJv26ZoLMkUdUvlfmCOMN9dmX3QFar9ach1zVyOJnUbsLw4WzXLqeXL2maVlxMJSVF+s0EDRpk7qAapm1bgucJQSB4nuB5b2YmVlWsKJ1TUtZ+9pkuSfMFC48IjkAMQhQiqOrhnqjO93bz7/maSujEgxS9XLAUYaxg1JQkTyHiMYowsg2GYYz9/DDGD2LUxatOt/A0TVNVQwh8L5DOc3umcAzSNL8n4lec8fuUC6O8FGKfVZMuCPZHH2E6dMCapp08qeYcUvbt8+7bpxcVx3/8YaTfTNCgQXAH1YhjMnw/lT7+mLRYCFEUo6Nv6tLlsz//9Oi6gpALIRIhEmEKoUWCSCJEEmiS20UEQMGqNARBUCSJEWEjCQahhwhEkoRvVm7U318hqTKEHqYIpmq/PfOyqhnfnehMfT/8pxlOB2WG5HjDYn0w5P9UWkx8WMvP92z4Sdm3Xy8tJXiebt2K79+f6dgBO5zmijAA6h4EdxBK7GuLdafT89PP7q/WR8UnfNOxQ2ZmpnFX6N2RjHbGwPhufsAiciJxerYX4XO8ce8Ehu2i4wc0laIoGpO++6kaj28E9xcl11SeM9P28ON7mMcVY/1JwTI3oEnG5J45W4mKotu0Fq4bQrdvTzdrSojhjhEG4LyC4A5qhB1Oz8aNri+/RDoWhg/jr71m2pYto0ePNq6smr2GZ46vGsRYU/7u+/EbBEGiM6UbI7IbsXuBopaT1Hivy6zAmCtOfb/jbMk1TeCxrgedA1zTJMjTB4T3Cjzpdr0phsq+j/fqmTp0KBUTQwgC4jlE00jTEEnCsAEQcRDcQRBYkjybN7u/WIe9ijDsej493RjL3r9/f47jfBcx+YV430G7NQX3wBtRVeZOkuRLbnm6RdA0jVa9ZuUdVS1uqik3D90XEBjlyXDDO7pfcvoV332nAcf8+GP5zxvJ2FhEkogiCZYjeJ6wCKTNRthsZFQUYbORNqswbFik31LQ4EBwB9Vgl8uz5Rf3F+uw2yVcfz0/MN0czIsQYgmiQ4czlZkzX+UT04M8JsZESKhqEdNMj/cxm0gZdRuWNcYe+Ha8+C5leprnatqYyVRT8n5WUwsyqoYbG5+Ok5zPCpYUkjqAsVvHsR3b2WfN1F0u7JKw06k7nNjp1CsrsdOpFRTgnBxdkiC4g7oHwR2c4dmwwfXZF9jp4AcPFgYPOj0spYqyb3/lvHlrikruTEvLysryG0JglkEC97D2zbh9Y7pZlDc/fcFqoUgSIUSSJMdxHo+npshuftOgW2b7Ct02E6axknOxRZxYNbRgltuFEJrCC6dOnkzu2lXZt4+98grSZgv+xWezpheAcwWCOziDT0/X8k/yQ4ZQiQm+t2NJcr63Qlq1CpGkfcrkDXfe8femzf+bPCk/P9+Y0zKDF+JIMoogOESQBFIRciNiuq7W9I2CxneyihF/OY5jGMbr9SKfIO5XnAkapsMJ3/+hIu7EeBZvedZn/O/LHvfbTmp/1y7SmrXShx/x1w7gBwygkpPPvG6yTHAc7N0BIgIWMYFaeHf+VTl/gZL9rzB4iHXc3XS7tgghvazs5JDrK/PyNnnlIl03p6KbkdoYJ2AGazOOm7eQPgI/RQhpmlZZWelwOCgffu03vkFf07QJOrZgPE9Tgy5i8l3HtEy0jg976m8IDMOsWrXq+quvlrdudX/7nV5Syl12Kdu7NyKQN3Ond/fuuHffifQbCBooCO6gRnp5uevjT5zvvEu3bMkPTBfvupPgOISxvG2btGIlohnP1Vfd8fZbfiUa3zhuhHi/yG587Bv9Az1YVtFIVYoxnu5xY4yN8e6v6vg4QbxC+08GNkeMLdbxA5pqfhoY2c2/a5rS/h+kpaVt2LCBIQjlyFH3V1/higpl/wHEMky79uwlacL110X6bQQNFAR3EAzG8vbt0oqViKTEsWPI6GimQ3uEkFZQIL2/xrvjd37IYOH665xvLlMLC4/ddONtDzyQn59vfGlgmcXIuP3iu5GJ+/4CoCjqHqfUUlE9JPliUoKu64qiFBcXezyeGRTdjCCm0hQZUOIwY/crmj4B60aDjd9mHUG37KhV0DHugaxW6/45T6G//9YLi8hoO9u9O5uWRrdvZ/QXARApUHMH/rSCAteatfJvO/hBAy23jiSjohBCSNM8GzdKq9eQsbH2J2YznTs53liqHj1qn/Nk57y8TR063pmcbKTwZug0hwMbMT1o47mRg49yudurGiaIefGxZm5vbL3E8/zLXjUboUkEonw6L31rLBjjaZp++Fy/DqMlR+jqzWRe6ERRHCJzN29ue8vNbGp3qkVzgmUj/QYCgBAEdxCISkpSj+fan5jNdOtq3KIeOy6tWqX8vc9y4wjhhuGEIEhrP5C3b496/HG6RYuKWbOjb7llw+23Ze3efceddxopvJkjmy0uBEGYcwXM7zVXcnGIOMzQT8VGnynPVyX+9xaXRMvKwwylKAqJSbPh0i+yI4SaIjQR4bP6b+g8wTK75qWnhjxdf0awPFHDYbhqVGRawakNI0bQIYdBYpdLzc1j2reL6HsLGhAoy4DaFd9xJ92ihXXMGONqquf7H5zvLrc9PIHrc7VxAFZVgqaV/fsLl73d/7tv8vPz/ZYmmeUX82+jjO57sdSv7D775KkjPL/SZi0pKXE6nahq5rtfqwzGeLGmTyCqbcvnu661prJMiKjt63WL9aHaBmFardacnByr1X8tqxHQ1YMHvXv2qNk52O2O/+SjSL+ZoKGAzB3ULn7tGqwoxu4T8o7fncvfE++8w4zsCCG9tMz92WeejZtsPXtsuvyK/r9tN+P7gwzbnqLsBOFA6DBBvFU91AbNLcYXl8Rq+nNNkkmS5BHied7tdutVYwZ8vwRjPFPT/675oUy+lZzT/fjhPfeHXM4Vom1MyOK7LMubNm0aNmwYQghL0umAvnevEdDJ2FimcydxTAbTrm2k30nQgEBwB2ExIrty8KBzyRJ+8CDhhuHG7ViWPRs2uD76hLRHUc2bKzk5AsdtGjZ8y6ef8h7ZhXC2rk90u8zmGaOSHmLx0ZyCIh7jMpqalZePCSRR9AsxdpfLJcunh7/7rWOKQWgegRCuPb7/Z2MkR+j4rijKjh07+hYU4mPHlH//RTomY2PpNm0st9/GtGlNtWxJ0PAPDdQ1KMuAcGknTlQ8PZdu29Y2ZbIRrbx//SWtfl8vLBRuugm73ZULX6KTGyOW006cKB12/ZUvv6woiu8aVCO4m9UY4wOapqe5PXEYsQgrBFlGU8vi43z73xFCxcXFlZWVmqb5TizAGC/R8EMk8ivCBC3LoOrZPcb4KcHyVBhlGVNgfWaVaENV66GSGjVqUVlJWCwIY7pdO4JjEUURBIFIMm71qki/daAhgoQChEWvqKh8+RUyLs52//0ETWt5ea6PP5G3/8ZdfZXlkelqdo7jtSWWm2+0jBxJNWpU/tiMZu3apaamZmZm+lVRzMm9xsckSd7rcr9is9I0fSagV4VmI7ITBCEIgjFnxujAMR/zIfLMI/t94CvomtWzTWp8x/++ZBHjCXKnpr5atXpreOf+r/W+wpKcTERHUY0aYU1HuoZUFWswewBEBgR3EBbSbo9Z+KJWWIhIwvXJJ64v1lHJyVGzZ7HdU5X9+x1vvincdKN4x+3GwVzfPvKvW9euXNkvPT0/P9+3OZIgCDMBNzbfeJNjGZ+Fpr5x38y1GYbhed7lcgWJ0QHVmDkU/ZRabVGVX7X99Mmc5Sswx+1aajl9yXSaS0IIPc4Lq0Vbrq7PdEsIIe7uMYIVducAFwoI7uAsUImJCCH319+Kd97Jp19LsKx28qTj5Ve4Sy8Vbx1pHsZdeYX7i3UJDsfmzZv79etnrm8yo7bv5htmOo8QMu4yPvAN9yzLCoJgzBEzfjeEOMkYVK1dsib/IaN+oHpZZkFV2v62aBUzd3o//EgbPIhq2jTS7xIACEHNHfx/YKezYt5zCOv22bODbimnHc89NH/B/i++uMtZaWbrZu8jTdMMw9BVAufMmP2RBEGoqlpcXOz1eo1dsM0c3G9s5DKSuldVfAvuKNjwSIzxTN7ynOcsau6h9erV65OOnciycrZnD37QILZLZwQXUUFEwbw68F9pmvOdd/XiItukiYGRHTudro8+LpsyNervva90OL1yx3cOjMGI1IF8jzQ+oChKEIQXFHWuVuMIgcUkfZ+mooB2ycAjCYLQz7rqXgvL/Oeipk/Fslz57HMQ2UHEwY8g+K8oSv79d/usmb5DbhFCSNfl7dul99fiykqqZQsqpdnau8f2u/lmo/Pdd3KvUWDx3WoVY2x86ju6wDj4voKiaMU7zSKoqkqqqh4wJP0xROSdTbw2iyrnDMOwl1zCXnKJeuRIXb8XAASAsgw4l9RDh6S1Hyh79nJXXanl5WFFjZr5OJWYmJ+f369fv5MnT6KqTZfMtncDwzDGfDHfparmx0+dKtzPc5/GxlRUVHg8HlVVVfVMhm78wngZExN1NcTaVL+2+nB+8p8TxAqsPx/Gr4GaFqkCEClQlgHnhl5eLq1cVT5zNlKUqEemafn52KtEzXjMuAabnJy8du1amqZRwBB2TdPuUdQFbo9ZgfE1q7DowaLiOUkJH9mjdF3ned4cQuAbnZciYhLWajq3EHHc6FWvyUy31JaiIv3SAvBfQFkG/L+pqmfLFmntBwRJWu8fz3brWvnCQux2R82cQSUlmUelpqYane+oqm3mcZZrQ5AaJv7V8VSWorVq0Xmaw2nH+Om4WJIkiaoijG9eb/a8L8TEA/+l+QWhMLrd75Gcq0XbqDBm/wJwQYHgDv7faNr51jvCsOuF4cORrlc+/wJ2SVEzZ1CNGvkexTDMK5Mm9b/77idpNoUiXRhNlD1nijPamaWnGR65q6Y/breRJEnpOqqaDGxgWVbTNLM0PwkTJWc5D9JXOJdVR0mOt0Trfedocw8A6gYEd3AOxH/0AUJILy+vfOFF7HBEzZxBNW7sd4xeVtboufnLExuNOpFrtkWaxRkzstM0/R7LGJm575eb8d1oozTiu67rrRCeWD1ABwb6ELuqhpnwH9P0MKdIAnCBgOAOzg29oqJy4Ut6RYV95gz//hmEtNy8ykWLuMsua33FFcxDD5qXQ32L776bo/rxu9F3q9WJ6MxVU/Pg8BN5JbzDnvW4XrfUcrHU++FHrmg7wfMExxE8T3A84jiCYwmWJRgWsYxvkQqA8w2COzg3SLtdLymxz5pJNWnid5eyf79j0ctko0ZRkyaJHJv61unKO6oqviOEjM5IVLVLn98jBA3uBuP3BKq+min801bDPvYhl3OlaMuQHAihJwRLO5LK1bWZbhdCaCovNI+L1/bvlzUde2WkKFhRkaZiTUOajjBGGCOCgGHuoC5BcAfnTOzSNwJvlLdvdyx5nbvkEut99xKiyGraa3fe2ScrS1VV3/ZEc8MmFCx5973lXpe7jao9YrWYDfKBPe/vMtzdXk845+w9m9b4DMnxnmgdKzmfqarPvC1adYTGS85e8XH/mzlDtFiQqmJdx6qKvApWFeT1ElYr8ipY8Ub23QENDfS5g/PI/c030opVwtDrxTvvQDStZudIa9Z69/09sqgwMzMzcCttv02afKcRIIQwxi9KrsMUtZTnEEKapnm9XkVRjE2xzV8VSyjmQUUOs899gSA+7pb+n09zgSC2t9u7xMWx7dohXcNGqo6RkbPHf/xhpN8H0BBB5g7OD1WVPvjA/dXXYsYoYehQvaLCve5L9zffMp06xjz33FrREjhQzPerjaBvLFg1Dpjv9jgIYprAI4RQ1cG+u+4Z5lJ0Dtb96jMhMpizytxr8rhb6tWpw6ddummHD5OiyF6SxvbqSSUmIYpE0CYPIgSCOzj3sMvlfPsd+fffbZMncr17ezZvca1ZgzC2PnA/3+dqRFHJCBkDI401q77FGeMRjJBNURRCaI6s8Ag9xrMInQ7rviN8zZ5I40YeoUU+835r/Y+pfI7+49qkSRPh+fmCJMm//urZ8LP3r11GBxEAkQJlGXBelIy7J2rKZILnpTVrlX37heuGCCNuIKOjfY/JzMxMT09XVdW3PuM7OfJRkmqJ0BSW8UvPfVNyXdcVRTEq+G9SzH2KHHQSZGAWf25/8ocPH/7WW28Z4wewLBMcF+l3ADR0MH4AnBcxLy/y7tpVPusJpOvR854Rx2T4RXZUtWYVVW90MRhjCSQdP0wSfgMJ/AZJoqoazjKaGa+evmhZU03mbAP6RF5YaBHDer4xMebHENnBhQAyd3Duyb/8Kr3/PtJ1yx138H37hKg75+fn9+/f3xgYiXzKLL4XV42BYr5f5RevMcYvaHiiIqOA3xPIp+aDakjbQ2+mutgiTnTVfsV10qRJ0zBiW7WiWzSnmjalEhIIux32xQYRBD984Nzj+lytHjok3DgiMFv30zgubtNDD/V//XUzvhth1+/6qnFZ1eQX3B/HRAGBzMp70K34QpxDWch7J7qkWmfLMAzTu3dvtqBQPXpU3r4dO5yIJEl7FNW0Kd2yBZ3SnGqSTCYkkFYrXF8FdQYydxAx2smTzqVvqkeOnujfr9/0aYqiENWZU3+fIulniBpnDLyIiGm6ZlRsQrQ/Bq3PPCFYngljqEDo2TK+836x16uXl+unCtTcXO3YMfXYMe1UAXa5EE2RMTGxb7we6VcdNBSQuYPI8GZmOt5YSsXH2+fNjUpO7rZq5c6dO/1SDSN/X0bRWVg37vA7wPh0WrDcPETW4ntXdMjtWE35uj5LsDxbw6+BDh06cFV1doJlqcREKjGR6db19LfzePTSUu3UKS03L9KvOmhAIHMHdU5VXevWuT76hL/2GvGuOwlRRAjlf/td/ymTjc53M3NfwAlRJDFJVXx3azIEpuHmlVhUPWcPkbYjhJZarH7bXtfkHdF6T7DknWGYDRs2pKWlRfplBaAa6JYBdUovKal8aZHrs8+t991jDCTAsiy9/z67/L1N996XnJyMqiLycl7IxfpDHneYm6wat/hODQsnceHCStwRQugeybnSZ2ePd0XrKxYR+fT8AHBBgbIMqDvKvn2OJa8TFGWfM4fp0B4hpB3PdSxbph3PtT08gevbZ02/vgMHDpxHMzaCGOOSfEfHmOm8+WhBk/fAu/z43UWjsKM7QhmS4xWLONklIYTGSU6E0LvWqLSEJPXHH+m+fQnYYw9cSCC4gzqBsfu776WVq9hLL7GOu9voopG3/OJ85x0qJSX62XlUSjOEULu9f38UG39TwUm/r9Z13Rj+bnZMBi2znG2fDApjJyb/M6n+6dIO7T7lOdeHH7u/WCcMH87170fabGf5kACcF1BzB3Wk+NbbxDtuF4YNRRSFJUlau9bzwwZhxHDLyJG+q37yP/+i/4zHzbEzfv0zKNjMyKCrT2vtkzHUVEkPB8Mwv3XvmdCqJS4rJywWRFGIIoXrr+evGVBrDygA5xsEd1DX1JwcxxtL9YoK2/jx7KWXBB5grmwyPg0/uBsfv8dbxrglVEPQ9/vaMNcoBWV0QAqS5PnpJ+1UgXfH73p5OdW0CdKxMDDdcucdkX6lQYMGwR3UIYw9P25wrlzJdO5svWdciJ2Jsj76uN/9482NOPwK7kF3azJ+kpfywv1uF6ohoJ/bn/a0tLQNGzYwDGN8qhcXe3ftcv+wQdm5k27fnu/bh73icjolBYXXbQnAuQXBHdQdx+LX5K3bLLeOtIy4AdW8NN+7c2fFwkUjT54wZr4bN9Ya3BFCUxnOThBPyu5zFdlD5PU1dkBirOXmyTt2eLZs0QuL6Fatop+fH6HXGzRoENxBnfJm7WFTu4U4QN6+3bF4CT+gf+XgQf2uvdZ37IxxAFFzIrxcsNztdp1VZK91tEBNB/il7YGwqqr//CP/utV6//g6f5kBgD53ULdCR3bPxk2OVxYL1w2xjrs7OSVl8+bNycnJgcuRgg6QeUuwjHVJZ5uz15rajJIcrwQMhlxtjVrWoydZWBjiCwmaZjp3hsgOIgWCO7hQuL/73rn0TcstN4uj7jIGbCUnJ/vGdxQwy9c0i+UPa5r5UOFXY3RUu8Be+Fc7tEsgiPLHHnevX48VJYzHAKCuQXAHFwTXF+ukd5eLo+6y3DrS9wpkYHxH1cO6cUtzkpwve1D16I/CqLNrYXS6T3A5V/usTWUYZurUqTHznxNuvln64MOK2U8qBw5E+vUDwB8EdxBpGLs++NC19gPrvfcIw4cF3p+cnLz5o4+WxMXXNM53uSDe43IG3hvO9SQ1vHMcJTleqirOcBzXhxcIjrPcOCJmwQIy2l4x52lpxUq9sjLSLyUAZ0BwBxGladKKla51X9omPMQPGhj8kLw8/p13r7z2WuPqZWDaPjbY5K8wOwW8YfcT8FXFmVkJie4pU0vvHqdkZVEpzaIee9T20IPy1q3ljzwm//Ybgg4FcGGA4A4iyfnW2+4ff7RNmcz17RP0AO14bsWzz5HR0c1mzQyczxW4P988Xgia4NdEDnsAwUMu5yrRxjDMFUtes90/Xtl/oPiu0aUPTvDuP8D1uTr6xRfYtJ6ORa9UvrQo0i8qAAhBKySIOO/u3Wz37kHvUo8dq3xuAZWUaJs21fvbjpJ3l/fP2mWuXA20SrSNDtnXGOhZwTKr5s06Ah/w3aYpN+7YzkZH6+XlzqVvuj77HOm6cMNwYej1bK9eyp69zhUrYha9FOkXFQDI3EGk1RjZjxypfPY5qnFj2yPTSbvd/d339sGDjIurQY+fyAuHdQ2djbmCxR3ygCxNfUqwmJ8yDJPWsSMbHY0QIqOjo2Y8nvDZJ/yA/u5vv/P+makXFzPdukJkBxcIyNzBhUg9dKhywfNUSkrU5MmErdoo3fz8/H79+gXm77UuRwr0hGBxYfySJ1SEXy5a766aLOa3cAkril5UpB45gkhKWr0au9zi7bdx1wyAfbHBhQCCO7jgqNk5FQsWMK1b2yZNNPZp8hMY36fygoCIZz2174bqaxIvvOpx13rYMtE6XnIyDPNT566t+1xNNWtGMLReWqZmZ+vlFQTHxr2/Gjud7q+/cX35Jd2ihTjqLqZTp0i/iqChgxQDXFiUf/6tXLCA6dDB9vAEwmIJekzs3r83deoyvVevTZs2IYRkWe5O0UZxfL4gznCHO+UxdFHyPdE6VnIihBwYI4Q4jlMTE7Tjx91ff4MQIqOjmU4dheHDuMt6I00jrFbLbf9jL+/tWvsBRHZwIYDMHVxYSsbczXTqaHt4AiEIQQ/Q8vPLH5shDBvK3DhCluWCU6cq5j174MDBaceOIISWInKU8yz6zUMk73MEi7OqaLNKtD1I4G/HjO18w3CqSROsKOq/2cru3cqBg9jtpholMampbLdudNs2ZHQ0jIEEFwLI3MGFJW7FcuzxEDwf/G5dl1a/TyYlCsOHEQzDMAwrueySq+M7b93QsmXJvGdLTp0a7pU3btyIEJJlWaltNgBb811Pu12rqhamjpYcC6Pstrvu5Lp0MW5hWrcWhgzGkqQeO6b8vc/71y7Pzz8jhOI/WBvplxAAhCC4gwtQjZEdIc/mzd6df9mfnnP6GF13f/YZm9ZL6NpVO54rHj5ib9vmdZb1YsI9oF/Z1m3/+2170NbJd0WrsQkqG3IP1dGS4yWLOM0lIYRiEUH/8iuqCu6nT1UUmU6dmE6dLLeO1MvK1JycSL94AJwGrZDgoqEVFEgrVws3DGc6djx9E0kqBw4KI0YghDybNlGJCWR8PMXzTLS9yVVXNXO5Ny9dGrR1kqmK6UxtFRRbVY1loq5atvyi5ebVdCQZE8NecgkC4MIAwR1cJDCW3l9DxsRYbhzhe3P8Jx8x7dvplZWejZv4IYORqhIcF7v0DXnrNqppk0bdum0eOiwwvpshnashc19ZVZC5T3K+K57uxfRERUlroeoCLg5QlgEXB/nXrd4dv9ufnB20hcb72w6ka9yVV3p37SZFUS8rk3/5hUpuUjZ1GkfT36X2SCsq8q2/K1VTB2rK3DMkx1KL9QGXEyFUoJ8eDExUVKjHjpVNf4S0Wgmr1edvkRBFQrCQFgvdrm2kXyoAEILgDi4KenGxc8UKYej1TNeuQe5WVfd333P9+pHR0cjrRSwrb9+OSEovL7fcfjt39VVCVlZqUUFmZqb5FXJVj1iIC6rOql8AM92uVaLtQYTzL78stU0b7JR0pwM7Ja2oCB85gl0u7HZj2YtVBWl6/McfRvrVAgAhCO7goiCt/YC0WCw33xT0Xu/ff2v5+bbJExFCWPYihvZ8/wPdskXUzBkEyyKELFddtXbtWt91T1JV4K5pi1SE0CMuyVz1OlpyvBRlz46K6j0sYCixrmNdR4qCFYWMior0SwXAaVBzBxc6+bff5F+3iuPuJqzWoAd4vv+B6daVbtECYYy9sn6qQCsotN59txHZDY1YdvOYsUbxfQovlIe3vGOU5FhiOf1No3Us+uT+Z5AkQdOEIEBkBxcUCO7gQsddfjk/MJ3t0SPovdrxXO9fu4TBgxBCCGMjg2Z79qBSmp0+Qtc9GzeVPfIof+LEmw8+xDCMhtCzHjdRJfR391bl+OOclZ+Ul9faOA/ABQKCO7gIWO+9p6a7PJs2UUmJjDHqnSRtj0xX9uw19/1Qjx2vmL/A+eYy/poBMc8vuPSecRzHRRMEQRAkSRqRPXSIn+qSzKVMmzZtkmU50i8GAGGB4A4ubmLG6JjXFhNVkxo9P2+kGjdiunbFXq973ZflM2Zgh9M+92nxrrsIq5VVtWX2aHtVKCdJ0gjxQeP747zwtmhFCI2WHK9W7bFXUFAQ6WcMQFjggiqoP/SKCnnzFsvtt6nZ2dJ7K7QTJ8Tbb+MHDzZDP87K6tq6jfOvnRhjI5ovESwT3C5jwhJBVBu1tMDjRlWThI3AL8vy/v37W7duHeknCkDtIHMH9Ye8/TeEkHbsWMWcp8nY2OjnFwjDhpmRHWHs/uGHuEED3+7Q3rjhdV542ONGISszoyTHu6L1kK6vFm2KoqxduxbK7uCiAMEd1B/CkMGEaJH//NP20INRjz5CNW3qe6+anaNm51gGpk+bNo1hGIyxEc59w3rQED9OcqaQZAHWEZTdwcUDgjuoV9hu3WJefIHr2weR/j/bno0b6ZYtmPbt+/fvz7LsEsHygM/uqaEvq05zSfm6bswhgLI7uChAcAf1ivWB+8nY2OB33T+eHzQQkSTHcf3796eqbg+nIRIhtMjjHic5jbJ7qON0Xc2G2ZAg8uCCKmhA+GuuQQjRijLbKV2teM3Lqibj0xA72Bhl98GDB5s7qZr00lLvH396fv5ZPXKUSmkGO2WDyILgDhoc+det8aKV4zhVVY1bzBAfzsZkRtndd5ts9cBBz+bN3t9/RxTNXXWlOG4c07ZNpJ8laOgguIMGhx800HviRH8Sff311/8heUcIFRQUWK1W7eRJeftvno0b9cIipkN78d572V49SZst0s8PAIRgD1XQYGVmZg4cOFDTNGMdEw5Q0xcyDPPZ7CfSZNmbtYe0R3F9+3JXXUWnNIOtU8EFBYI7aKAURRk4cODOnTuNdaqBkT3EP420tLR1AwdZrr2W6dY1xKaAAEQQBHfQcK1fv37MmDFG8o4QCj95t1qtOTk51hqmVAJwIYCaO2i4jIZ3l8uFAmYPBL3FJMvyr199NXDAAORVsFfGXi/2epHsxbKMPR7jj+XWkZF+fqBBg8wdNFyKomRkZHzzzTd+lRld11FVIl/T137eOLlHt9TTF2NJElEkQdOIogmGRixLsGzMy4si/fxAgwbBHTRUGGOv9/vPP79rwgRd143KjK7r4Vdm/v3pJ9EejViGoGnEMARNI5omSBKRJCIIuL4KIgvKMqChULNztJISvbhIKyjUCwq0gkK9oqKn08FxnFmZ8euDDF2Z2XLkyLDAXfcAuDBA5g4akJK7RhFWGxkfRyUlUY2SqMQkPdo+7vnnv/32W4qijFAefvKelpa2YcOGwKWqAFwIIHMHDUjssjcJnkdU1VwZjL179j5lj/6RpnVdN3ft8A3oIZL3gwcP+i5VBeCCAoPDQANCiOLpyI6xsmdvxdPPVD4zL6Fp027dupn7daAaRomtFP2XnsqyvHHjxkg/JwCCg7IMaGAwVvbtc32xTsnaw/bsIYy4genU6euvvx47dqxxWfUtmhkne/yKM8aXrhRtGZLD98GgMgMuWBDcQQOi7N/v+mKdsjuL6dbVctONTKdORk+L0+ls37692+1+leOnKF4jspvxHflcYn1PtI6VnOYDwmomcMGCsgxoEJSDBysXPF8x52mkqvYnZ9tnz2I6dza7FTmO69evH8ZY9anJBN04e6zkXC6eCeWyLG/atCnSTw6AICBzB/Vf5fMveDN3Mp07CTfeyHbrGrQDfdPixeXzn7/H6zFWM+m6HrQyEwgqM+DCBN0yoP6LeuxR7+7dbGpqTQuLsMPZed/+HiTy65NBVQUZ6JkBFx0oy4AGge3ePcSSUcJmJWVv3759jWzdtyBT6yZ8UJkBFyYoywBwWmZm5uDBgzHGZmWmpsuqfqAyAy5AkLkDcFpqamrXrl19k3fkswNfCFlZWVlZWZE+fQCqgeAOwGkMw0ybNo2iKN/ZMiiMyoyiKNOnT1cUJdLPAIAzILgDcEa/fv1Ylq1ptWqIEG9cVo306QNwBgR3AM4wGt7/22VVGEUALigQ3AE4g2GY22+/3azMhF92VxRl0aJFISoz2vFc5zvvRvr5gQYE+twBqMbYe8/j8ZiR3cji/2PDO8bKP/94vv1O3vE71bhRpJ8caEAgcwegGr/KDPKZQ3B2De+q6t25s+LpZypmP6mVlNimTole+GKknxxoQKDPHQB/69evHzNmjK7rNE37trr79rwHZTS805om7/jdvX69lpvH9uopXH8d06kTIkmsqnpJCZWUFOnnBxoECO4A+HM6nW3btnW73TRNo6qdssMZNWO1Wg8sWYJ/2qhXlPN9+/LXXktG29W8E+qhQ2p2tnr4sF5WHv/JR5F+fqBBgOAOgD9FUTIyMr7++muapimKCszca/pXwzDM9rRLmqSnU40bawUFas4hvbQUkSQVH0e3aUO3bUu3asl07Bjp5wcaBAjuAASRmZk5cOBAozKDEPIrzqCaRxF81ji5Z/fuVFw83boV064d3aol1aQJabef2dsPgDoBwR2AIBRFSU9P37VrF03TJEmGn7xbrdbsHb/bmjZBNLSigUiCbhkAgjBHEZztqBlZljftyYLIDiIOMncAgjMuq7pcLpqmjfb2MC+rwpBIcCGAzB2A4My994wiuyEwc18p2ibygu8tMGcGXAgguAMQBFZVsqzs8aHDjFZ3v8qMb4kmQ3LYCGKlaHtKsBhfC9t3gAsBlGUAOE07dUrLy1MPH1Gys7WjR7VTBVpp6W0M9ddff9E0/SbHP+CVQ19WXS5a75acCCoz4AIAwR2A04pH/g/RFJWQQFitpNXq3bWbbtlid1zcTc8vWMJyDyteVLWgqdbVqlarNScnx2q1Rvo5gYYLyjIAnGaf84R17BjCIqrZOVjTombNiJ7/XM+hQxfzloOaFnQIcE3NM1CZAREHmTsACDud8rbt7vXrtaJi7sorhMGD6XZtEULaiRPlc+f9sHvX+P37jIZ3FGwaQdDHhMoMiCwI7qBB04uLPZs3u7/7Hnm9/DXX8OnXUk2amPeWTZpCiJZDgweljxihaRpFUUaq7rt3NqphtSpUZkBkQXAHDVrJXaMInueHDOH79SXj4gIP0EtKtKio9PT0v/76i6IoM3mvteGdYZiVK1cOHz480k8RNFAQ3EFDh51Oorb82hg1YybvYVZmhg0btmrVKqjMgIiAC6qgoas1siOEUlNTu3Xr5hfHa51JsGnTJljNBCIFgjsAtWMYZuHChX4LmsKZNlNQUBDpcwcNFAR3AMJiJO/mRVRDrRvv7d+/P9InDhooCO4AhMUveUdVkT1Ew7uiKC+99JKiKJE+d9AQQXAHIFy+yXuYE4BhiBiIFAjuAIQrMHlHtV1WrWWpqq4r//zreP2NSD8zUA9BcAfgLPhV3mu9rFpTZQa7XPIvv5bPfqJi1mzt+PFIPy1QD0GfOwBnZ/369RkZGbquB51GEHi831JVraBA3vKLZ8MG3enkLr+cT7+Wad8ekZBmgXMMgjsAZ8fpdLZp08bYoQn5zImsaUETwzDbe6V1/OF75eBBz4af5B2/k1FR/MB0rs/VZGysXlSkHj3KXX55pJ8WqG8guANwdhRFycjIWL9+fU3TCAK/JC0t7fO0S/Rjx5n27bk+V5EJCVpunnLggHrokF5WTnAs1aRJ9PMLIv3MQL0CwR2As5aZmZmenq5pml/ybmzIF/hvymq17v3f7VxiglZSop08iVSNjIuj27ZhOnSg27Shk5MJG8wXA+cY7NEOwFlLTU1NTU3duXOnWXk3GGNnAo+XZbnon4PJNivbsyfTrh3VPIWKi0M0/OsD5xFk7gD8F2byTlGUcUvoy6ow3h3UMbhGD8B/YSTv5qgZ48YQq1VhNROoYxDcAfgvzAVNvj3vfsfMF0TzY9h4D9QxCO4AnD2MtYKCDsUlZvJu3Ez4QAjNcEtLLdblovURXoA5M6COQXAHIGyqqh454vr8i/LHZ5Tec5+elfUeJxjJ+9ucEPQrHnA575acXoQQQllZWVlZWZF+DqChgAuqAIRFWrFS/vNPvaCQ4HlEENjjodu3Y0fccN306Q8e+Oc+2W1k63BZFVwgoBkLgLB49+5lu3XTC4u8e/fSzVMsI0eyvXqqhw4vj47p5fXoum62zZjF98D4blxWheAO6gCUZQConVZYxHbp4tm8WSsusk2cYJ//HHvpJWreicoXXojt3duv8h6CLMsbN26M9LMBDQKUZQAIRS8tdX//g+fbbwmbzTLyFu6qqwiWNe4qfWgClZAQ9cj0nQcOGD3v5oIms4Um8N8XVGZA3YDgDkAoJRljCYYWbrqJ79+PEPyvmurl5WR0tKIo6enpO3fu9F3QVNOoGb8hkQCcJ1CWASAUYcQNMS+/LFw3JDCyI4TI6GhUvee91geEhndQNyBzB+AcCEzeoTIDIgsydwDOgcDkvaY5BAhGEYA6AcEdgHPDd9pM6COhMgPqAAR3AM4NM3k3PvUbReALRhGAOgDBHYBzxkjezWp7CLVWZrAkRfrZgIsbBHcAzhm/5N0UmLzXuJoJY/XQIem9FaUTHi6+/Y5IPyFwEYNuGQDOJbNtxlzQVFPDu1/PjF5Z6c3M9Gz4Sc3OoZo04dOv4S7rTSbER/oJgYsVBHcAzjFjkyazbSbEaqa9t4xMWPyqkp0jb9kib92GdI3t3Zvv349p3x4jpJeWUYkJkX424GIFwR2AcyzM5J1hmG29L2/cubN29BjdogXX52qqRQvsdKhHjqqHDmm5uXpFZfzHH0b62YCLFQR3AM49c4dVcw5w0OR92LBhSxo1pqOjdYdDLyjAbg8h8GRSEtOqFd2qFZXSjGrUiIyNjfSzARclCO4AnHt+ybsZ2f3+uVmt1j1DruNatKBbt6JbtKCaNaPi4wmLBdWw+gmA8EFwB+C8WL9+/ejRo0Mn71arddvmza07dIj0yYJ6CFohATgv+vfvz3Fc6ORJluX92dmRPlNQP0FwB+Dcw4pCHT48YMCAwO2zEUIvWcSVom0q7JoNzicoywBw7miaeuSIvON3ecsvSna2Gh83YO+e/Pz8laJ1jEtCPsV3hNAjvNCFossp8n///gPj3cE5B8EdgHNAO54r//GH/OtW7UQeohkyNgY7JcvIm3NKSnIen5nhchqHBW2IXLly5fDhwyP9DEB9A2UZAM6BsmnTPT9uoJs1Zbp1Q5rGdu8e89JCtnuPxhs3vdqhXYgUSlGUDz74ACoz4JyDzB2Ac0Detk3Z+7dn4yamU0fLbbcxHdpjp7Ni7jOIZQ8NGXzt0KGqqhIEUVNDJGy8B845+v//EAA0ZNjr9fz0s+vjTwietz38EHfFFYiikK47l7+nl5XZn5nbLS4uNTV1586dIR6koKAAgjs4tyC4A/DfeXftkt5fo508aRkxQrhuCGEGaJKUt223z5pJNWpEIbRw4cL09HTf5N2XLMv79+9v3bp1pJ8NqFegLAPA/4vj5VcsI2+hmjYNcYyxYDUzM5MkyXAmRALw/wfBHYC6YEybUVUVBdsyG8ru4JyDbhkA6oK5wyqqYe8O2FUVnFsQ3AGoC8YmTTUVXhRF+eGHH6AhEpxDENwBqCOhk/fc3NzQu6oCcFYguANQRxiGWbt2bXJyctALXb///ru6bbuak6NXVCBNi/TJgoseXFAFoE6ZV1YDlzJlXXMtcaqA4HkyLpZu3pxu3Zpu2ZJqkkwmJJBWK6KoSJ87uJhAcAegTpltkX4979dcc807bdtRlZW604m8CqIoQhDI6GgqKdH93fdkbAzVtFnUpIl02zaRfgbg4gDBHYC6FjR5HzNmzMJHH8X7D3BXXoErK/WyMq24RMvLU48dQx6PVlyMHQ4se+M/+SjSpw8uDrBCFYC61vbPzAEDBmzbtk2WZaND5k2rrVdMLJ+SglJSEELIZqOaNKnWWKNp2OPRnc5Inzu4aEDmDkCdcn+xzrPlF62yQmfZ8r/3PZXSdOPGjQMGDHhVVmzj7+MHpkf6BEE9Ad0yANQd1xfrKl99VS8psd56K1lS2uTusStXrszJyXlVVvj+/ZzL31MOHIj0OYJ6AoI7AHUCY9fHn0jvLqcaNbbccbu8cyfbs4d491iGYayCQDdrRooi26unY/FreklJpM8V1AcQ3AE4/3Rdev991yefsJdeQrdpzbZvr+zOOlOBoSiuz9XybzvEjNEEwzjffgeraqTPGFz0ILgDcN45l7/n/uY7rm8f5e991tGjPVu3UkmJTLdu5gHcJZfoZWV6QYFtwgRl7173p59F+pTBRQ+COwDnnfWecdZxY707/xKGD6MaN/Zs2sQPHkT4zJmhmjahW7eWt/9Gt2sr3nOP67PP5e3bI33W4OIGwR2AuqBm5xAWi2XEDfKffyBF4a64otrdBMH1uVresQO7XHz/fsLQ651Ll0X6lMHFDYI7AOedd9cuz8ZN1owMwmLxfP8Dd9VVZGys3zFsr57Y5Vb270cIiRmj41avjPRZg4sbBHcAzi/sckkrVnJXX8Veeonyzz/qkaP8gAGBh1FJSUzHjvLWbZE+X1BPQHAH4Pxyf/2NXlZuue1/CCGmY8f4Tz6qaT4M1+cq786demVlpE8Z1AcwfgCA88ty60gyKopKSjpzU8AwdwPbvbtT05S9e7krr4z0WYOLHmTuAJx3/OBB4RxGxsayqalQmQHnBMyWAQCAeggydwAAqIcguAMAQD0EwR0AAOohCO4AAFAPQXAHAIB6CII7AADUQxDcAQCgHoLgDgAA9RAEdwAAqIcguAMAQD0EwR0AAOohCO4AAFAPQXAHAIB6CII7AADUQxDcAQCgHoLgDgAA9RAEdwAAqIcguAMAQD0EwR0AAOohCO4AAFAPQXAHAIB6CII7AADUQxDcAQCgHoLgDgAA9RAEdwAAqIcguAMAQD0EwR0AAOohCO4AAFAPQXAHAIB6CII7AADUQxDcAQCgHoLgDgAA9RAEdwAAqIcguAMAQD0EwR0AAOohCO4AAFAPQXAHAIB6CII7AADUQxDcAQCgHoLgDgAA9RAEdwAAqIcguAMAQD0EwR0AAOohCO4AAFAPQXAHAIB6CII7AADUQxDcAQCgHoLgDgAA9RAEdwAAqIcguAMAQD0EwR0AAOohCO4AAFAPQXAHAIB6CII7AADUQxDcAQCgHoLgDgAA9RAEdwAAqIcguAMAQD0EwR0AAOohCO4AAFAPQXAHAIB66P8AP1jl/dTFmbAAAAAASUVORK5CYII=",
      "text/plain": [
       "500×500 Array{RGB{N0f8},2}:\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " ⋮                                               ⋱                        \n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)"
      ]
     },
     "metadata": {
      "comm_id": "769e7f98-f1e7-41db-a941-80cef60aba21",
      "reactive": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "",
      "text/plain": [
       "Scene:\n",
       "    screen => name: GLWindow\n",
       "children: 0\n",
       "Inputs:\n",
       "  mouse_button_released => Reactive.Signal{Int64}\n",
       "  mouse_buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  scroll => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  window_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  window_area => Reactive.Signal{GeometryTypes.SimpleRectangle{Int64}}\n",
       "  cursor_position => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  mouseinside => Reactive.Signal{Bool}\n",
       "  mouse_button_down => Reactive.Signal{Int64}\n",
       "  mouseposition => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  arrow_navigation => Reactive.Signal{Symbol}\n",
       "  key_pressed => Reactive.Signal{Bool}\n",
       "  mouse2id => Reactive.Signal{GLWindow.SelectionID{Int64}}\n",
       "  framebuffer_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  button_down => Reactive.Signal{Int64}\n",
       "  unicode_input => Reactive.Signal{Array{Char,1}}\n",
       "  window_position => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  mouse_buttons => Reactive.Signal{Tuple{Int64,Int64,Int64}}\n",
       "  entered_window => Reactive.Signal{Bool}\n",
       "  button_released => Reactive.Signal{Int64}\n",
       "  window_open => Reactive.Signal{Bool}\n",
       "  dropped_files => Reactive.Signal{Array{String,1}}\n",
       "  hasfocus => Reactive.Signal{Bool}\n",
       "  keyboard_buttons => Reactive.Signal{NTuple{4,Int64}}\n",
       "\n",
       "    mouse_button_released => Node: 0\n",
       "    mouse_buttons_pressed => Node: Set{Int64}()\n",
       "    time => Node: 0.0\n",
       "    scroll => [0.0, 0.0]\n",
       "    camera => Node: GLAbstraction.PerspectiveCamera{Float32}(16: \"map(input-14, input-8)\" = GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500) GeometryTypes.SimpleRectangle{Int64} , 684: \"input-419\" = 0.21217483 Float32 , 680: \"map(input-412, input-411)\" = 6.365245 Float32 , 683: \"input-418\" = 41.0 Float32 , 689: \"map(input-412, input-411, input-417)\" = Float32[-0.887162 0.461458 0.0 -0.210462; -0.352186 -0.677086 0.646157 0.113998; 0.298174 0.573246 0.763204 -3.03764; 0.0 0.0 0.0 1.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 688: \"map(map(input-14, input-8), input-418, input-419, map(input-412, input-411), input-420, map(map(input-411, input-412)))\" = Float32[2.67462 0.0 0.0 0.0; 0.0 2.67462 0.0 0.0; 0.0 0.0 -1.06897 -0.438982; 0.0 0.0 -1.0 0.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 690: \"map(map(map(input-14, input-8), input-418, input-419, map(input-412, input-411), input-420, map(map(input-411, input-412))), map(input-412, input-411, input-417))\" = Float32[-2.37282 1.23422 0.0 -0.562905; -0.941965 -1.81095 1.72823 0.304902; -0.318738 -0.612781 -0.815839 2.80815; -0.298174 -0.573246 -0.763204 3.03764] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 659: \"input-412\" = Float32[0.759181, 1.91562, 2.24468] GeometryTypes.Vec{3,Float32} , 658: \"input-411\" = Float32[0.0, 0.45608, 0.301486] GeometryTypes.Vec{3,Float32} , 682: \"input-417\" = Float32[0.0, 0.0, 1.0] GeometryTypes.Vec{3,Float32} , 679: \"map(map(foldp(map(map(foldp(input-6), input-416), droprepeats(map(map(input-15, input-16, input-10))-4), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-4)))-2, filterwhen(map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-4, map(input-11)-4), input-414)\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 678: \"map(map(foldp(map(map(foldp(input-6), input-415), droprepeats(map(map(input-15, input-16, input-10))-4), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-4)))-2, input-413)\" = Float32[0.0, -0.0, 0.0] GeometryTypes.Vec{3,Float32} , 685: \"input-420\" = PERSPECTIVE GLAbstraction.Projection )\n",
       "    buttons_pressed => Node: Set{Int64}()\n",
       "    window_size => [500, 500]\n",
       "    window_area => Node: GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500)\n",
       "    theme =>     Scene:\n",
       "        colormap => ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(1.0,1.0,0.851), RGB{N0f8}(0.929,0.973,0.694), RGB{N0f8}(0.78,0.914,0.706), RGB{N0f8}(0.498,0.804,0.733), RGB{N0f8}(0.255,0.714,0.769), RGB{N0f8}(0.114,0.569,0.753), RGB{N0f8}(0.133,0.369,0.659), RGB{N0f8}(0.145,0.204,0.58), RGB{N0f8}(0.031,0.114,0.345)]\n",
       "        visible => Node: true\n",
       "        scatter =>         Scene:\n",
       "            markersize => Float32[0.1, 0.1]\n",
       "            strokewidth => Node: 0.0f0\n",
       "            rotations => Node: MakiE.Billboard()\n",
       "            strokecolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            glowwidth => Node: 0.0f0\n",
       "            glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "\n",
       "        contour =>         Scene:\n",
       "            fillrange => Node: false\n",
       "            levels => Node: 5.0f0\n",
       "\n",
       "        axis =>         Scene:\n",
       "            gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "            visible => Node: true\n",
       "            scalefuncs => Node: (identity, identity, identity)\n",
       "            showgrid => Node: (true, true, true)\n",
       "            axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "            showaxis => Node: (true, true, true)\n",
       "            tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "            tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "            axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "            showticks => Node: (true, true, true)\n",
       "            gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        meshscatter =>         Scene:\n",
       "            markersize => Float32[1.0, 1.0]\n",
       "            rotations => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "            marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "        surface =>         Scene:\n",
       "            image => Node: nothing\n",
       "\n",
       "        colornorm => Node: nothing\n",
       "        volume =>         Scene:\n",
       "            absorption => Node: 1.0f0\n",
       "            algorithm => Node: 2\n",
       "            isorange => Node: 0.01f0\n",
       "            isovalue => Node: 0.5f0\n",
       "\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        image =>         Scene:\n",
       "            spatialorder => Node: :yx\n",
       "\n",
       "        heatmap =>         Scene:\n",
       "            linewidth => Node: 0.0f0\n",
       "            levels => Node: 1.0f0\n",
       "\n",
       "        lines =>         Scene:\n",
       "            linestyle => Node: nothing\n",
       "\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        drawover => Node: false\n",
       "        color => Node: MakiE.UniqueColorIter{Array{ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}},1}}(ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(0.894,0.102,0.11), RGB{N0f8}(0.216,0.494,0.722), RGB{N0f8}(0.302,0.686,0.29), RGB{N0f8}(0.596,0.306,0.639), RGB{N0f8}(1.0,0.498,0.0), RGB{N0f8}(1.0,1.0,0.2), RGB{N0f8}(0.651,0.337,0.157), RGB{N0f8}(0.969,0.506,0.749), RGB{N0f8}(0.6,0.6,0.6)], 2)\n",
       "        mesh =>         Scene:\n",
       "            indices => Node: nothing\n",
       "            attribute_id => Node: nothing\n",
       "            shading => Node: true\n",
       "\n",
       "        linewidth => Node: 1.0f0\n",
       "\n",
       "    cursor_position => [0.0, 0.0]\n",
       "    mouseinside => Node: true\n",
       "    mouse_button_down => Node: 0\n",
       "    mouseposition => [0.0, 500.0]\n",
       "    arrow_navigation => Node: :nothing\n",
       "    key_pressed => Node: false\n",
       "    mouse2id => [-1, -1]\n",
       "    framebuffer_size => [500, 500]\n",
       "    button_down => Node: 0\n",
       "    unicode_input => Char[]\n",
       "    window_position => [75, 700]\n",
       "    mouse_buttons => Node: (0, 0, 0)\n",
       "    entered_window => Node: false\n",
       "    button_released => Node: 0\n",
       "    window_open => Node: true\n",
       "    dropped_files => String[]\n",
       "    mesh =>     Scene:\n",
       "        positions => GeometryTypes.Point{3,Float32}[Float32[0.0, 0.0, 0.0], Float32[0.062805, 0.591207, 0.902102], Float32[0.058382, 0.577691, 0.904429], Float32[0.066943, 0.562335, 0.904249], Float32[0.033097, 0.589028, 0.925956], Float32[0.034467, 0.615638, 0.897269], Float32[0.01817, 0.614425, 0.904328], Float32[0.039929, 0.575789, 0.919507], Float32[-0.018169, 0.614425, 0.904328], Float32[0.0, 0.613796, 0.908653]  …  Float32[-0.000743, 0.482343, 0.928169], Float32[-0.014232, 0.482164, 0.925709], Float32[-0.003915, 0.482505, 0.926599], Float32[-0.020181, 0.477809, 0.918171], Float32[-0.022283, 0.477598, 0.918658], Float32[-0.019612, 0.483235, 0.912947], Float32[-0.022774, 0.488143, 0.91531], Float32[-0.023561, 0.488345, 0.914601], Float32[-0.026661, 0.48513, 0.905901], Float32[-0.025328, 0.485275, 0.907261]]\n",
       "        visible => Node: true\n",
       "        attribute_id => Node: nothing\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        indices => GeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}}[GeometryTypes.OffsetInteger{-1,UInt32}[|1767 (indexes as 1768)|, |1762 (indexes as 1763)|, |1776 (indexes as 1777)|], GeometryTypes.OffsetInteger{-1,UInt32}[|3 (indexes as 4)|, |1 (indexes as 2)|, |2 (indexes as 3)|], GeometryTypes.OffsetInteger{-1,UInt32}[|4 (indexes as 5)|, |2 (indexes as 3)|, |1 (indexes as 2)|], GeometryTypes.OffsetInteger{-1,UInt32}[|1 (indexes as 2)|, |5 (indexes as 6)|, |4 (indexes as 5)|], GeometryTypes.OffsetInteger{-1,UInt32}[|6 (indexes as 7)|, |4 (indexes as 5)|, |5 (indexes as 6)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2 (indexes as 3)|, |4 (indexes as 5)|, |7 (indexes as 8)|], GeometryTypes.OffsetInteger{-1,UInt32}[|10 (indexes as 11)|, |8 (indexes as 9)|, |9 (indexes as 10)|], GeometryTypes.OffsetInteger{-1,UInt32}[|6 (indexes as 7)|, |10 (indexes as 11)|, |9 (indexes as 10)|], GeometryTypes.OffsetInteger{-1,UInt32}[|9 (indexes as 10)|, |11 (indexes as 12)|, |6 (indexes as 7)|], GeometryTypes.OffsetInteger{-1,UInt32}[|4 (indexes as 5)|, |6 (indexes as 7)|, |11 (indexes as 12)|]  …  GeometryTypes.OffsetInteger{-1,UInt32}[|2192 (indexes as 2193)|, |2243 (indexes as 2244)|, |2207 (indexes as 2208)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2243 (indexes as 2244)|, |2192 (indexes as 2193)|, |2016 (indexes as 2017)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2245 (indexes as 2246)|, |2014 (indexes as 2015)|, |2244 (indexes as 2245)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2014 (indexes as 2015)|, |2245 (indexes as 2246)|, |2080 (indexes as 2081)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2161 (indexes as 2162)|, |1960 (indexes as 1961)|, |1961 (indexes as 1962)|], GeometryTypes.OffsetInteger{-1,UInt32}[|1960 (indexes as 1961)|, |2161 (indexes as 2162)|, |2011 (indexes as 2012)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2142 (indexes as 2143)|, |2247 (indexes as 2248)|, |2246 (indexes as 2247)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2247 (indexes as 2248)|, |2142 (indexes as 2143)|, |2007 (indexes as 2008)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2112 (indexes as 2113)|, |2004 (indexes as 2005)|, |1959 (indexes as 1960)|], GeometryTypes.OffsetInteger{-1,UInt32}[|2004 (indexes as 2005)|, |2112 (indexes as 2113)|, |2005 (indexes as 2006)|]]\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "        color => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,1.0f0)\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        mesh => Node: HomogenousMesh(\n",
       "    faces: 3954xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 2248xGeometryTypes.Point{3,Float32},     normals: 2248xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "        shading => Node: true\n",
       "\n",
       "    hasfocus => Node: false\n",
       "    linesegment =>     Scene:\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        positions => GeometryTypes.Point{3,Float32}[Float32[0.0, 0.0, 0.0], Float32[-0.05, 8.7158f-36, 7.9246f-25], Float32[0.062805, 0.591207, 0.902102], Float32[0.0916762, 0.606705, 0.939868], Float32[0.058382, 0.577691, 0.904429], Float32[0.0839985, 0.577726, 0.947368], Float32[0.066943, 0.562335, 0.904249], Float32[0.091334, 0.570699, 0.947087], Float32[0.033097, 0.589028, 0.925956], Float32[0.0571766, 0.600627, 0.968213]  …  Float32[-0.019612, 0.483235, 0.912947], Float32[0.012094, 0.51978, 0.900329], Float32[-0.022774, 0.488143, 0.91531], Float32[-0.0177857, 0.44626, 0.942161], Float32[-0.023561, 0.488345, 0.914601], Float32[-0.0379293, 0.446763, 0.890842], Float32[-0.026661, 0.48513, 0.905901], Float32[0.0124994, 0.501915, 0.879734], Float32[-0.025328, 0.485275, 0.907261], Float32[0.0063682, 0.521822, 0.894626]]\n",
       "        color => Node: RGBA{Float32}(0.8941177f0,0.10196079f0,0.10980393f0,1.0f0)\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        drawover => Node: false\n",
       "        linestyle => Node: nothing\n",
       "        visible => Node: true\n",
       "        linewidth => Node: 1.0f0\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "\n",
       "    keyboard_buttons => Node: (0, 0, 0, 0)\n"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using MakiE, GeometryTypes\n",
    "scene = Scene(resolution = (500, 500))\n",
    "x = GLVisualize.loadasset(\"cat.obj\")\n",
    "MakiE.mesh(x.vertices, x.faces, color = :black)\n",
    "pos = map(x.vertices, x.normals) do p, n\n",
    "    p => p .+ (normalize(n) .* 0.05f0)\n",
    "end\n",
    "linesegment(pos)\n",
    "center!(scene)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "500×500 Array{RGB{N0f8},2}:\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " ⋮                                               ⋱                        \n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)"
      ]
     },
     "metadata": {
      "comm_id": "0e917292-637d-43bf-9c72-dd2056253e41",
      "reactive": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "",
      "text/plain": [
       "Scene:\n",
       "    screen => name: GLWindow\n",
       "children: 0\n",
       "Inputs:\n",
       "  mouse_button_released => Reactive.Signal{Int64}\n",
       "  mouse_buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  scroll => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  window_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  window_area => Reactive.Signal{GeometryTypes.SimpleRectangle{Int64}}\n",
       "  cursor_position => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  mouseinside => Reactive.Signal{Bool}\n",
       "  mouse_button_down => Reactive.Signal{Int64}\n",
       "  mouseposition => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  arrow_navigation => Reactive.Signal{Symbol}\n",
       "  key_pressed => Reactive.Signal{Bool}\n",
       "  mouse2id => Reactive.Signal{GLWindow.SelectionID{Int64}}\n",
       "  framebuffer_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  button_down => Reactive.Signal{Int64}\n",
       "  unicode_input => Reactive.Signal{Array{Char,1}}\n",
       "  window_position => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  mouse_buttons => Reactive.Signal{Tuple{Int64,Int64,Int64}}\n",
       "  entered_window => Reactive.Signal{Bool}\n",
       "  button_released => Reactive.Signal{Int64}\n",
       "  window_open => Reactive.Signal{Bool}\n",
       "  dropped_files => Reactive.Signal{Array{String,1}}\n",
       "  hasfocus => Reactive.Signal{Bool}\n",
       "  keyboard_buttons => Reactive.Signal{NTuple{4,Int64}}\n",
       "\n",
       "    mouse_button_released => Node: 0\n",
       "    mouse_buttons_pressed => Node: Set{Int64}()\n",
       "    axis =>     Scene:\n",
       "        gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "        visible => Node: true\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        scalefuncs => Node: (identity, identity, identity)\n",
       "        showgrid => Node: (true, true, true)\n",
       "        axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "        showaxis => Node: (true, true, true)\n",
       "        tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "        showticks => Node: (true, true, true)\n",
       "        gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "    time => Node: 0.0\n",
       "    scroll => [0.0, 0.0]\n",
       "    camera => Node: GLAbstraction.PerspectiveCamera{Float32}(1158: \"map(input-1018, input-1012)\" = GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500) GeometryTypes.SimpleRectangle{Int64} , 2224: \"input-1658\" = 0.5790211 Float32 , 2220: \"map(input-1651, input-1650)\" = 17.370632 Float32 , 2223: \"input-1657\" = 41.0 Float32 , 2229: \"map(input-1651, input-1650, input-1656)\" = Float32[-0.663128 0.748506 0.0 0.0512266; -0.413667 -0.366482 0.833409 0.0319552; 0.623811 0.552657 0.552657 -8.80588; 0.0 0.0 0.0 1.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 2228: \"map(map(input-1018, input-1012), input-1657, input-1658, map(input-1651, input-1650), input-1659, map(map(input-1650, input-1651)))\" = Float32[2.67462 0.0 0.0 0.0; 0.0 2.67462 0.0 0.0; 0.0 0.0 -1.06897 -1.19797; 0.0 0.0 -1.0 0.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 2230: \"map(map(map(input-1018, input-1012), input-1657, input-1658, map(input-1651, input-1650), input-1659, map(map(input-1650, input-1651))), map(input-1651, input-1650, input-1656))\" = Float32[-1.77362 2.00197 0.0 0.137012; -1.1064 -0.980202 2.22905 0.0854682; -0.666833 -0.590771 -0.590771 8.21521; -0.623811 -0.552657 -0.552657 8.80588] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 2199: \"input-1651\" = Float32[5.5404, 4.84, 4.84] GeometryTypes.Vec{3,Float32} , 2198: \"input-1650\" = Float32[1.206, 1.0, 1.0] GeometryTypes.Vec{3,Float32} , 2222: \"input-1656\" = Float32[0.0, 0.0, 1.0] GeometryTypes.Vec{3,Float32} , 2219: \"map(map(foldp(map(map(foldp(input-1010), input-1655), droprepeats(map(map(input-1019, input-1020, input-1014))-6), map(input-1025, droprepeats(map(input-1026, map(input-1019, input-1020, input-1014))))-6)))-2, filterwhen(map(input-1025, droprepeats(map(input-1026, map(input-1019, input-1020, input-1014))))-6, map(input-1015)-6), input-1653)\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 2218: \"map(map(foldp(map(map(foldp(input-1010), input-1654), droprepeats(map(map(input-1019, input-1020, input-1014))-6), map(input-1025, droprepeats(map(input-1026, map(input-1019, input-1020, input-1014))))-6)))-2, input-1652)\" = Float32[0.0, -0.0, 0.0] GeometryTypes.Vec{3,Float32} , 2225: \"input-1659\" = PERSPECTIVE GLAbstraction.Projection )\n",
       "    buttons_pressed => Node: Set{Int64}()\n",
       "    window_size => [500, 500]\n",
       "    window_area => Node: GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500)\n",
       "    theme =>     Scene:\n",
       "        colormap => ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(1.0,1.0,0.851), RGB{N0f8}(0.929,0.973,0.694), RGB{N0f8}(0.78,0.914,0.706), RGB{N0f8}(0.498,0.804,0.733), RGB{N0f8}(0.255,0.714,0.769), RGB{N0f8}(0.114,0.569,0.753), RGB{N0f8}(0.133,0.369,0.659), RGB{N0f8}(0.145,0.204,0.58), RGB{N0f8}(0.031,0.114,0.345)]\n",
       "        visible => Node: true\n",
       "        scatter =>         Scene:\n",
       "            markersize => Float32[0.1, 0.1]\n",
       "            strokewidth => Node: 0.0f0\n",
       "            rotations => Node: MakiE.Billboard()\n",
       "            strokecolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            glowwidth => Node: 0.0f0\n",
       "            glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "\n",
       "        contour =>         Scene:\n",
       "            fillrange => Node: false\n",
       "            levels => Node: 5.0f0\n",
       "\n",
       "        axis =>         Scene:\n",
       "            gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "            visible => Node: true\n",
       "            scalefuncs => Node: (identity, identity, identity)\n",
       "            showgrid => Node: (true, true, true)\n",
       "            axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "            showaxis => Node: (true, true, true)\n",
       "            tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "            tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "            axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "            showticks => Node: (true, true, true)\n",
       "            gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        meshscatter =>         Scene:\n",
       "            markersize => Float32[1.0, 1.0]\n",
       "            rotations => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "            marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "        surface =>         Scene:\n",
       "            image => Node: nothing\n",
       "\n",
       "        colornorm => Node: nothing\n",
       "        volume =>         Scene:\n",
       "            absorption => Node: 1.0f0\n",
       "            algorithm => Node: 2\n",
       "            isorange => Node: 0.01f0\n",
       "            isovalue => Node: 0.5f0\n",
       "\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        image =>         Scene:\n",
       "            spatialorder => Node: :yx\n",
       "\n",
       "        heatmap =>         Scene:\n",
       "            linewidth => Node: 0.0f0\n",
       "            levels => Node: 1.0f0\n",
       "\n",
       "        lines =>         Scene:\n",
       "            linestyle => Node: nothing\n",
       "\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        drawover => Node: false\n",
       "        color => Node: MakiE.UniqueColorIter{Array{ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}},1}}(ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(0.894,0.102,0.11), RGB{N0f8}(0.216,0.494,0.722), RGB{N0f8}(0.302,0.686,0.29), RGB{N0f8}(0.596,0.306,0.639), RGB{N0f8}(1.0,0.498,0.0), RGB{N0f8}(1.0,1.0,0.2), RGB{N0f8}(0.651,0.337,0.157), RGB{N0f8}(0.969,0.506,0.749), RGB{N0f8}(0.6,0.6,0.6)], 1)\n",
       "        mesh =>         Scene:\n",
       "            indices => Node: nothing\n",
       "            attribute_id => Node: nothing\n",
       "            shading => Node: true\n",
       "\n",
       "        linewidth => Node: 1.0f0\n",
       "\n",
       "    cursor_position => [455.0, 6.0]\n",
       "    mouseinside => Node: true\n",
       "    mouse_button_down => Node: 0\n",
       "    mouseposition => [455.0, 494.0]\n",
       "    arrow_navigation => Node: :nothing\n",
       "    key_pressed => Node: false\n",
       "    mouse2id => [65535, 65535]\n",
       "    framebuffer_size => [500, 500]\n",
       "    button_down => Node: 0\n",
       "    unicode_input => Char[]\n",
       "    window_position => [1054, 406]\n",
       "    mouse_buttons => Node: (0, 0, 0)\n",
       "    entered_window => Node: false\n",
       "    button_released => Node: 0\n",
       "    window_open => Node: true\n",
       "    dropped_files => String[]\n",
       "    mesh =>     Scene:\n",
       "        positions => GeometryTypes.Point{3,Float32}[Float32[0.0, 0.0, 0.0], Float32[1.0, 0.0, 2.0], Float32[2.0, 1.0, 0.0], Float32[0.0, 2.0, 1.0]]\n",
       "        visible => Node: true\n",
       "        attribute_id => Node: nothing\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        indices => GeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}}[GeometryTypes.OffsetInteger{-1,UInt32}[|0 (indexes as 1)|, |1 (indexes as 2)|, |2 (indexes as 3)|], GeometryTypes.OffsetInteger{-1,UInt32}[|0 (indexes as 1)|, |2 (indexes as 3)|, |3 (indexes as 4)|], GeometryTypes.OffsetInteger{-1,UInt32}[|0 (indexes as 1)|, |3 (indexes as 4)|, |1 (indexes as 2)|], GeometryTypes.OffsetInteger{-1,UInt32}[|1 (indexes as 2)|, |2 (indexes as 3)|, |3 (indexes as 4)|]]\n",
       "        x => [0, 1, 2, 0]\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        z => [0, 2, 0, 1]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "        color => ColorTypes.RGBA{Float32}[RGBA{Float32}(1.0,0.0,0.0,1.0), RGBA{Float32}(0.0,0.501961,0.0,1.0), RGBA{Float32}(0.0,0.0,1.0,1.0), RGBA{Float32}(1.0,1.0,0.0,1.0)]\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        mesh => Node: HomogenousMesh(\n",
       "    color: 4xColorTypes.RGBA{Float32},     faces: 4xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 4xGeometryTypes.Point{3,Float32},     normals: 4xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "        y => [0, 0, 1, 2]\n",
       "        shading => Node: true\n",
       "\n",
       "    hasfocus => Node: false\n",
       "    linesegment =>     Scene:\n",
       "        color => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,1.0f0)\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        positions => GeometryTypes.Point{3,Float32}[(Float32[0.0, 0.0, 0.0], Float32[1.0, 0.0, 2.0]), (Float32[1.0, 0.0, 2.0], Float32[2.0, 1.0, 0.0]), (Float32[2.0, 1.0, 0.0], Float32[0.0, 0.0, 0.0]), (Float32[0.0, 0.0, 0.0], Float32[2.0, 1.0, 0.0]), (Float32[2.0, 1.0, 0.0], Float32[0.0, 2.0, 1.0]), (Float32[0.0, 2.0, 1.0], Float32[0.0, 0.0, 0.0]), (Float32[0.0, 0.0, 0.0], Float32[0.0, 2.0, 1.0]), (Float32[0.0, 2.0, 1.0], Float32[1.0, 0.0, 2.0]), (Float32[1.0, 0.0, 2.0], Float32[0.0, 0.0, 0.0]), (Float32[1.0, 0.0, 2.0], Float32[2.0, 1.0, 0.0]), (Float32[2.0, 1.0, 0.0], Float32[0.0, 2.0, 1.0]), (Float32[0.0, 2.0, 1.0], Float32[1.0, 0.0, 2.0])]\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        drawover => Node: false\n",
       "        linestyle => Node: nothing\n",
       "        visible => Node: true\n",
       "        linewidth => Node: 2.0f0\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "\n",
       "    keyboard_buttons => Node: (0, 0, 0, 0)\n"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using MakiE\n",
    "scene = Scene(resolution = (500, 500))\n",
    "x = [0, 1, 2, 0]\n",
    "y = [0, 0, 1, 2]\n",
    "z = [0, 2, 0, 1]\n",
    "color = [:red, :green, :blue, :yellow]\n",
    "i = [0, 0, 0, 1]\n",
    "j = [1, 2, 3, 2]\n",
    "k = [2, 3, 1, 3]\n",
    "\n",
    "indices = [1, 2, 3, 1, 3, 4, 1, 4, 2, 2, 3, 4]\n",
    "m = mesh(x, y, z, indices, color = color)\n",
    "wireframe(m[:mesh], color = :black, linewidth = 2)\n",
    "r = linspace(-0.5, 2.5, 4)\n",
    "axis(r, r, r)\n",
    "center!(scene)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "500×500 Array{RGB{N0f8},2}:\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " ⋮                                               ⋱                        \n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)"
      ]
     },
     "metadata": {
      "comm_id": "764d6ad8-d4b7-4af6-a523-cec43e58c254",
      "reactive": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "",
      "text/plain": [
       "Scene:\n",
       "    screen => name: GLWindow\n",
       "children: 0\n",
       "Inputs:\n",
       "  mouse_button_released => Reactive.Signal{Int64}\n",
       "  mouse_buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  scroll => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  window_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  window_area => Reactive.Signal{GeometryTypes.SimpleRectangle{Int64}}\n",
       "  cursor_position => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  mouseinside => Reactive.Signal{Bool}\n",
       "  mouse_button_down => Reactive.Signal{Int64}\n",
       "  mouseposition => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  arrow_navigation => Reactive.Signal{Symbol}\n",
       "  key_pressed => Reactive.Signal{Bool}\n",
       "  mouse2id => Reactive.Signal{GLWindow.SelectionID{Int64}}\n",
       "  framebuffer_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  button_down => Reactive.Signal{Int64}\n",
       "  unicode_input => Reactive.Signal{Array{Char,1}}\n",
       "  window_position => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  mouse_buttons => Reactive.Signal{Tuple{Int64,Int64,Int64}}\n",
       "  entered_window => Reactive.Signal{Bool}\n",
       "  button_released => Reactive.Signal{Int64}\n",
       "  window_open => Reactive.Signal{Bool}\n",
       "  dropped_files => Reactive.Signal{Array{String,1}}\n",
       "  hasfocus => Reactive.Signal{Bool}\n",
       "  keyboard_buttons => Reactive.Signal{NTuple{4,Int64}}\n",
       "\n",
       "    mouse_button_released => Node: 0\n",
       "    mouse_buttons_pressed => Node: Set{Int64}()\n",
       "    time => Node: 0.0\n",
       "    scroll => [0.0, 0.0]\n",
       "    camera => Node: GLAbstraction.PerspectiveCamera{Float32}(16: \"map(input-14, input-8)\" = GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500) GeometryTypes.SimpleRectangle{Int64} , 818: \"input-562\" = 0.19738618 Float32 , 814: \"map(input-555, input-554)\" = 5.921585 Float32 , 817: \"input-561\" = 41.0 Float32 , 823: \"map(input-555, input-554, input-560)\" = Float32[-0.901231 0.433338 0.0 -0.19712; -0.336301 -0.699419 0.630646 0.127803; 0.273283 0.568358 0.776071 -2.86841; 0.0 0.0 0.0 1.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 822: \"map(map(input-14, input-8), input-561, input-562, map(input-555, input-554), input-563, map(map(input-554, input-555)))\" = Float32[2.67462 0.0 0.0 0.0; 0.0 2.67462 0.0 0.0; 0.0 0.0 -1.06897 -0.408385; 0.0 0.0 -1.0 0.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 824: \"map(map(map(input-14, input-8), input-561, input-562, map(input-555, input-554), input-563, map(map(input-554, input-555))), map(input-555, input-554, input-560))\" = Float32[-2.41045 1.15902 0.0 -0.52722; -0.899478 -1.87068 1.68674 0.341825; -0.29213 -0.607555 -0.829593 2.65785; -0.273283 -0.568358 -0.776071 2.86841] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 793: \"input-555\" = Float32[0.649219, 1.80509, 2.14549] GeometryTypes.Vec{3,Float32} , 792: \"input-554\" = Float32[0.00191151, 0.458862, 0.307267] GeometryTypes.Vec{3,Float32} , 816: \"input-560\" = Float32[0.0, 0.0, 1.0] GeometryTypes.Vec{3,Float32} , 813: \"map(map(foldp(map(map(foldp(input-6), input-559), droprepeats(map(map(input-15, input-16, input-10))-5), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-5)))-2, filterwhen(map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-5, map(input-11)-5), input-557)\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 812: \"map(map(foldp(map(map(foldp(input-6), input-558), droprepeats(map(map(input-15, input-16, input-10))-5), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-5)))-2, input-556)\" = Float32[0.0, -0.0, 0.0] GeometryTypes.Vec{3,Float32} , 819: \"input-563\" = PERSPECTIVE GLAbstraction.Projection )\n",
       "    buttons_pressed => Node: Set{Int64}()\n",
       "    window_size => [500, 500]\n",
       "    window_area => Node: GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500)\n",
       "    theme =>     Scene:\n",
       "        colormap => ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(1.0,1.0,0.851), RGB{N0f8}(0.929,0.973,0.694), RGB{N0f8}(0.78,0.914,0.706), RGB{N0f8}(0.498,0.804,0.733), RGB{N0f8}(0.255,0.714,0.769), RGB{N0f8}(0.114,0.569,0.753), RGB{N0f8}(0.133,0.369,0.659), RGB{N0f8}(0.145,0.204,0.58), RGB{N0f8}(0.031,0.114,0.345)]\n",
       "        visible => Node: true\n",
       "        scatter =>         Scene:\n",
       "            markersize => Float32[0.1, 0.1]\n",
       "            strokewidth => Node: 0.0f0\n",
       "            rotations => Node: MakiE.Billboard()\n",
       "            strokecolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            glowwidth => Node: 0.0f0\n",
       "            glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "\n",
       "        contour =>         Scene:\n",
       "            fillrange => Node: false\n",
       "            levels => Node: 5.0f0\n",
       "\n",
       "        axis =>         Scene:\n",
       "            gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "            visible => Node: true\n",
       "            scalefuncs => Node: (identity, identity, identity)\n",
       "            showgrid => Node: (true, true, true)\n",
       "            axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "            showaxis => Node: (true, true, true)\n",
       "            tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "            tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "            axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "            showticks => Node: (true, true, true)\n",
       "            gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        meshscatter =>         Scene:\n",
       "            markersize => Float32[1.0, 1.0]\n",
       "            rotations => Float32[0.0, 0.0, 1.0]\n",
       "            marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "        surface =>         Scene:\n",
       "            image => Node: nothing\n",
       "\n",
       "        colornorm => Node: nothing\n",
       "        volume =>         Scene:\n",
       "            absorption => Node: 1.0f0\n",
       "            algorithm => Node: 2\n",
       "            isorange => Node: 0.01f0\n",
       "            isovalue => Node: 0.5f0\n",
       "\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        image =>         Scene:\n",
       "            spatialorder => Node: :yx\n",
       "\n",
       "        heatmap =>         Scene:\n",
       "            linewidth => Node: 0.0f0\n",
       "            levels => Node: 1.0f0\n",
       "\n",
       "        lines =>         Scene:\n",
       "            linestyle => Node: nothing\n",
       "\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        drawover => Node: false\n",
       "        color => Node: MakiE.UniqueColorIter{Array{ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}},1}}(ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(0.894,0.102,0.11), RGB{N0f8}(0.216,0.494,0.722), RGB{N0f8}(0.302,0.686,0.29), RGB{N0f8}(0.596,0.306,0.639), RGB{N0f8}(1.0,0.498,0.0), RGB{N0f8}(1.0,1.0,0.2), RGB{N0f8}(0.651,0.337,0.157), RGB{N0f8}(0.969,0.506,0.749), RGB{N0f8}(0.6,0.6,0.6)], 1)\n",
       "        mesh =>         Scene:\n",
       "            indices => Node: nothing\n",
       "            attribute_id => Node: nothing\n",
       "            shading => Node: true\n",
       "\n",
       "        linewidth => Node: 1.0f0\n",
       "\n",
       "    cursor_position => [0.0, 0.0]\n",
       "    mouseinside => Node: true\n",
       "    mouse_button_down => Node: 0\n",
       "    mouseposition => [0.0, 500.0]\n",
       "    arrow_navigation => Node: :nothing\n",
       "    key_pressed => Node: false\n",
       "    mouse2id => [-1, -1]\n",
       "    framebuffer_size => [500, 500]\n",
       "    button_down => Node: 0\n",
       "    unicode_input => Char[]\n",
       "    window_position => [1920, 700]\n",
       "    mouse_buttons => Node: (0, 0, 0)\n",
       "    entered_window => Node: false\n",
       "    button_released => Node: 0\n",
       "    window_open => Node: true\n",
       "    dropped_files => String[]\n",
       "    mesh =>     Scene:\n",
       "        color => ColorTypes.RGBA{Float32}[RGBA{Float32}(0.45098,0.427451,0.419608,1.0) RGBA{Float32}(0.45098,0.427451,0.407843,1.0) … RGBA{Float32}(0.45098,0.427451,0.407843,1.0) RGBA{Float32}(0.45098,0.427451,0.419608,1.0); RGBA{Float32}(0.45098,0.427451,0.396078,1.0) RGBA{Float32}(0.45098,0.427451,0.407843,1.0) … RGBA{Float32}(0.45098,0.427451,0.407843,1.0) RGBA{Float32}(0.45098,0.427451,0.407843,1.0); … ; RGBA{Float32}(0.45098,0.427451,0.407843,1.0) RGBA{Float32}(0.45098,0.427451,0.407843,1.0) … RGBA{Float32}(0.45098,0.427451,0.407843,1.0) RGBA{Float32}(0.45098,0.427451,0.407843,1.0); RGBA{Float32}(0.45098,0.427451,0.419608,1.0) RGBA{Float32}(0.45098,0.427451,0.407843,1.0) … RGBA{Float32}(0.45098,0.427451,0.407843,1.0) RGBA{Float32}(0.45098,0.427451,0.419608,1.0)]\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        mesh => Node: HomogenousMesh(\n",
       "    faces: 3954xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     texturecoordinates: 2248xGeometryTypes.TextureCoordinate{2,Float32},     vertices: 2248xGeometryTypes.Point{3,Float32},     normals: 2248xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "        visible => Node: true\n",
       "        attribute_id => Node: nothing\n",
       "        shading => Node: true\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "\n",
       "    hasfocus => Node: false\n",
       "    keyboard_buttons => Node: (0, 0, 0, 0)\n"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using MakiE, GeometryTypes, FileIO\n",
    "using GLVisualize: loadasset, assetpath\n",
    "scene = Scene(resolution = (500, 500))\n",
    "cat = load(assetpath(\"cat.obj\"), GLNormalUVMesh)\n",
    "mesh(cat, color = loadasset(\"diffusemap.tga\"))\n",
    "center!(scene)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "500×500 Array{RGB{N0f8},2}:\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " ⋮                                               ⋱                        \n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)"
      ]
     },
     "metadata": {
      "comm_id": "7defd92c-ccc5-405c-9f06-0f6a6c6b2038",
      "reactive": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "",
      "text/plain": [
       "Scene:\n",
       "    screen => name: GLWindow\n",
       "children: 0\n",
       "Inputs:\n",
       "  mouse_button_released => Reactive.Signal{Int64}\n",
       "  mouse_buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  scroll => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  window_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  window_area => Reactive.Signal{GeometryTypes.SimpleRectangle{Int64}}\n",
       "  cursor_position => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  mouseinside => Reactive.Signal{Bool}\n",
       "  mouse_button_down => Reactive.Signal{Int64}\n",
       "  mouseposition => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  arrow_navigation => Reactive.Signal{Symbol}\n",
       "  key_pressed => Reactive.Signal{Bool}\n",
       "  mouse2id => Reactive.Signal{GLWindow.SelectionID{Int64}}\n",
       "  framebuffer_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  button_down => Reactive.Signal{Int64}\n",
       "  unicode_input => Reactive.Signal{Array{Char,1}}\n",
       "  window_position => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  mouse_buttons => Reactive.Signal{Tuple{Int64,Int64,Int64}}\n",
       "  entered_window => Reactive.Signal{Bool}\n",
       "  button_released => Reactive.Signal{Int64}\n",
       "  window_open => Reactive.Signal{Bool}\n",
       "  dropped_files => Reactive.Signal{Array{String,1}}\n",
       "  hasfocus => Reactive.Signal{Bool}\n",
       "  keyboard_buttons => Reactive.Signal{NTuple{4,Int64}}\n",
       "\n",
       "    mouse_button_released => Node: 0\n",
       "    mouse_buttons_pressed => Node: Set{Int64}()\n",
       "    time => Node: 0.0\n",
       "    scroll => [0.0, 0.0]\n",
       "    camera => Node: GLAbstraction.PerspectiveCamera{Float32}(16: \"map(input-14, input-8)\" = GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500) GeometryTypes.SimpleRectangle{Int64} , 575: \"input-629\" = 0.38105118 Float32 , 571: \"map(input-622, input-621)\" = 11.431536 Float32 , 574: \"input-628\" = 41.0 Float32 , 580: \"map(input-622, input-621, input-627)\" = Float32[-0.707107 0.707107 0.0 0.0; -0.408248 -0.408248 0.816497 0.0; 0.57735 0.57735 0.57735 -4.57261; 0.0 0.0 0.0 1.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 579: \"map(map(input-14, input-8), input-628, input-629, map(input-622, input-621), input-630, map(map(input-621, input-622)))\" = Float32[2.67462 0.0 0.0 0.0; 0.0 2.67462 0.0 0.0; 0.0 0.0 -1.06897 -0.788382; 0.0 0.0 -1.0 0.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 581: \"map(map(map(input-14, input-8), input-628, input-629, map(input-622, input-621), input-630, map(map(input-621, input-622))), map(input-622, input-621, input-627))\" = Float32[-1.89124 1.89124 0.0 0.0; -1.09191 -1.09191 2.18382 0.0; -0.617168 -0.617168 -0.617168 4.09959; -0.57735 -0.57735 -0.57735 4.57261] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 550: \"input-622\" = Float32[2.64, 2.64, 2.64] GeometryTypes.Vec{3,Float32} , 549: \"input-621\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 573: \"input-627\" = Float32[0.0, 0.0, 1.0] GeometryTypes.Vec{3,Float32} , 570: \"map(map(foldp(map(map(foldp(input-6), input-626), droprepeats(map(map(input-15, input-16, input-10))-6), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-6)))-2, filterwhen(map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-6, map(input-11)-6), input-624)\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 569: \"map(map(foldp(map(map(foldp(input-6), input-625), droprepeats(map(map(input-15, input-16, input-10))-6), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-6)))-2, input-623)\" = Float32[0.0, -0.0, 0.0] GeometryTypes.Vec{3,Float32} , 576: \"input-630\" = PERSPECTIVE GLAbstraction.Projection )\n",
       "    buttons_pressed => Node: Set{Int64}()\n",
       "    window_size => [500, 500]\n",
       "    window_area => Node: GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500)\n",
       "    theme =>     Scene:\n",
       "        colormap => ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(1.0,1.0,0.851), RGB{N0f8}(0.929,0.973,0.694), RGB{N0f8}(0.78,0.914,0.706), RGB{N0f8}(0.498,0.804,0.733), RGB{N0f8}(0.255,0.714,0.769), RGB{N0f8}(0.114,0.569,0.753), RGB{N0f8}(0.133,0.369,0.659), RGB{N0f8}(0.145,0.204,0.58), RGB{N0f8}(0.031,0.114,0.345)]\n",
       "        visible => Node: true\n",
       "        scatter =>         Scene:\n",
       "            markersize => Float32[0.1, 0.1]\n",
       "            strokewidth => Node: 0.0f0\n",
       "            rotations => Node: MakiE.Billboard()\n",
       "            strokecolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            glowwidth => Node: 0.0f0\n",
       "            glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "\n",
       "        contour =>         Scene:\n",
       "            fillrange => Node: false\n",
       "            levels => Node: 5.0f0\n",
       "\n",
       "        axis =>         Scene:\n",
       "            gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "            visible => Node: true\n",
       "            scalefuncs => Node: (identity, identity, identity)\n",
       "            showgrid => Node: (true, true, true)\n",
       "            axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "            showaxis => Node: (true, true, true)\n",
       "            tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "            tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "            axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "            showticks => Node: (true, true, true)\n",
       "            gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        meshscatter =>         Scene:\n",
       "            markersize => Float32[1.0, 1.0]\n",
       "            rotations => Float32[0.0, 0.0, 1.0]\n",
       "            marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "        surface =>         Scene:\n",
       "            image => Node: nothing\n",
       "\n",
       "        colornorm => Node: nothing\n",
       "        volume =>         Scene:\n",
       "            absorption => Node: 1.0f0\n",
       "            algorithm => Node: 2\n",
       "            isorange => Node: 0.01f0\n",
       "            isovalue => Node: 0.5f0\n",
       "\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        image =>         Scene:\n",
       "            spatialorder => Node: :yx\n",
       "\n",
       "        heatmap =>         Scene:\n",
       "            linewidth => Node: 0.0f0\n",
       "            levels => Node: 1.0f0\n",
       "\n",
       "        lines =>         Scene:\n",
       "            linestyle => Node: nothing\n",
       "\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        drawover => Node: false\n",
       "        color => Node: MakiE.UniqueColorIter{Array{ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}},1}}(ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(0.894,0.102,0.11), RGB{N0f8}(0.216,0.494,0.722), RGB{N0f8}(0.302,0.686,0.29), RGB{N0f8}(0.596,0.306,0.639), RGB{N0f8}(1.0,0.498,0.0), RGB{N0f8}(1.0,1.0,0.2), RGB{N0f8}(0.651,0.337,0.157), RGB{N0f8}(0.969,0.506,0.749), RGB{N0f8}(0.6,0.6,0.6)], 2)\n",
       "        mesh =>         Scene:\n",
       "            indices => Node: nothing\n",
       "            attribute_id => Node: nothing\n",
       "            shading => Node: true\n",
       "\n",
       "        linewidth => Node: 1.0f0\n",
       "\n",
       "    cursor_position => [0.0, 0.0]\n",
       "    mouseinside => Node: true\n",
       "    mouse_button_down => Node: 0\n",
       "    mouseposition => [0.0, 500.0]\n",
       "    arrow_navigation => Node: :nothing\n",
       "    key_pressed => Node: false\n",
       "    mouse2id => [-1, -1]\n",
       "    framebuffer_size => [500, 500]\n",
       "    button_down => Node: 0\n",
       "    unicode_input => Char[]\n",
       "    window_position => [1920, 700]\n",
       "    mouse_buttons => Node: (0, 0, 0)\n",
       "    entered_window => Node: false\n",
       "    button_released => Node: 0\n",
       "    window_open => Node: true\n",
       "    dropped_files => String[]\n",
       "    mesh =>     Scene:\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        color => Node: RGBA{Float32}(0.8941177f0,0.10196079f0,0.10980393f0,1.0f0)\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        mesh => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "        visible => Node: true\n",
       "        attribute_id => Node: nothing\n",
       "        shading => Node: true\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "\n",
       "    hasfocus => Node: false\n",
       "    keyboard_buttons => Node: (0, 0, 0, 0)\n"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using MakiE, GeometryTypes\n",
    "scene = Scene(resolution = (500, 500))\n",
    "MakiE.mesh(Sphere(Point3f0(0), 1f0))\n",
    "center!(scene)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "500×500 Array{RGB{N0f8},2}:\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " ⋮                                               ⋱                        \n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)  …  RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)\n",
       " RGB{N0f8}(1.0,1.0,1.0)  RGB{N0f8}(1.0,1.0,1.0)     RGB{N0f8}(1.0,1.0,1.0)"
      ]
     },
     "metadata": {
      "comm_id": "dd7ea738-e106-44fc-8518-36d3b4af03e9",
      "reactive": true
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "",
      "text/plain": [
       "Scene:\n",
       "    screen => name: GLWindow\n",
       "children: 0\n",
       "Inputs:\n",
       "  mouse_button_released => Reactive.Signal{Int64}\n",
       "  mouse_buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  scroll => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  buttons_pressed => Reactive.Signal{Set{Int64}}\n",
       "  window_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  window_area => Reactive.Signal{GeometryTypes.SimpleRectangle{Int64}}\n",
       "  cursor_position => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  mouseinside => Reactive.Signal{Bool}\n",
       "  mouse_button_down => Reactive.Signal{Int64}\n",
       "  mouseposition => Reactive.Signal{GeometryTypes.Vec{2,Float64}}\n",
       "  arrow_navigation => Reactive.Signal{Symbol}\n",
       "  key_pressed => Reactive.Signal{Bool}\n",
       "  mouse2id => Reactive.Signal{GLWindow.SelectionID{Int64}}\n",
       "  framebuffer_size => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  button_down => Reactive.Signal{Int64}\n",
       "  unicode_input => Reactive.Signal{Array{Char,1}}\n",
       "  window_position => Reactive.Signal{GeometryTypes.Vec{2,Int64}}\n",
       "  mouse_buttons => Reactive.Signal{Tuple{Int64,Int64,Int64}}\n",
       "  entered_window => Reactive.Signal{Bool}\n",
       "  button_released => Reactive.Signal{Int64}\n",
       "  window_open => Reactive.Signal{Bool}\n",
       "  dropped_files => Reactive.Signal{Array{String,1}}\n",
       "  hasfocus => Reactive.Signal{Bool}\n",
       "  keyboard_buttons => Reactive.Signal{NTuple{4,Int64}}\n",
       "\n",
       "    mouse_button_released => Node: 0\n",
       "    mouse_buttons_pressed => Node: Set{Int64}()\n",
       "    time => Node: 0.0\n",
       "    scroll => [0.0, 0.0]\n",
       "    camera => Node: GLAbstraction.PerspectiveCamera{Float32}(16: \"map(input-14, input-8)\" = GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500) GeometryTypes.SimpleRectangle{Int64} , 598: \"input-700\" = 0.19738618 Float32 , 594: \"map(input-693, input-692)\" = 5.921585 Float32 , 597: \"input-699\" = 41.0 Float32 , 603: \"map(input-693, input-692, input-698)\" = Float32[-0.901231 0.433338 0.0 -0.19712; -0.336301 -0.699419 0.630646 0.127803; 0.273283 0.568358 0.776071 -2.86841; 0.0 0.0 0.0 1.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 602: \"map(map(input-14, input-8), input-699, input-700, map(input-693, input-692), input-701, map(map(input-692, input-693)))\" = Float32[2.67462 0.0 0.0 0.0; 0.0 2.67462 0.0 0.0; 0.0 0.0 -1.06897 -0.408385; 0.0 0.0 -1.0 0.0] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 604: \"map(map(map(input-14, input-8), input-699, input-700, map(input-693, input-692), input-701, map(map(input-692, input-693))), map(input-693, input-692, input-698))\" = Float32[-2.41045 1.15902 0.0 -0.52722; -0.899478 -1.87068 1.68674 0.341825; -0.29213 -0.607555 -0.829593 2.65785; -0.273283 -0.568358 -0.776071 2.86841] StaticArrays.SArray{Tuple{4,4},Float32,2,16} , 573: \"input-693\" = Float32[0.649219, 1.80509, 2.14549] GeometryTypes.Vec{3,Float32} , 572: \"input-692\" = Float32[0.00191151, 0.458862, 0.307267] GeometryTypes.Vec{3,Float32} , 596: \"input-698\" = Float32[0.0, 0.0, 1.0] GeometryTypes.Vec{3,Float32} , 593: \"map(map(foldp(map(map(foldp(input-6), input-697), droprepeats(map(map(input-15, input-16, input-10))-7), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-7)))-2, filterwhen(map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-7, map(input-11)-7), input-695)\" = Float32[0.0, 0.0, 0.0] GeometryTypes.Vec{3,Float32} , 592: \"map(map(foldp(map(map(foldp(input-6), input-696), droprepeats(map(map(input-15, input-16, input-10))-7), map(input-21, droprepeats(map(input-22, map(input-15, input-16, input-10))))-7)))-2, input-694)\" = Float32[0.0, -0.0, 0.0] GeometryTypes.Vec{3,Float32} , 599: \"input-701\" = PERSPECTIVE GLAbstraction.Projection )\n",
       "    buttons_pressed => Node: Set{Int64}()\n",
       "    window_size => [500, 500]\n",
       "    window_area => Node: GeometryTypes.SimpleRectangle{Int64}(0, 0, 500, 500)\n",
       "    theme =>     Scene:\n",
       "        colormap => ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(1.0,1.0,0.851), RGB{N0f8}(0.929,0.973,0.694), RGB{N0f8}(0.78,0.914,0.706), RGB{N0f8}(0.498,0.804,0.733), RGB{N0f8}(0.255,0.714,0.769), RGB{N0f8}(0.114,0.569,0.753), RGB{N0f8}(0.133,0.369,0.659), RGB{N0f8}(0.145,0.204,0.58), RGB{N0f8}(0.031,0.114,0.345)]\n",
       "        visible => Node: true\n",
       "        scatter =>         Scene:\n",
       "            markersize => Float32[0.1, 0.1]\n",
       "            strokewidth => Node: 0.0f0\n",
       "            rotations => Node: MakiE.Billboard()\n",
       "            strokecolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            glowwidth => Node: 0.0f0\n",
       "            glowcolor => Node: RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)\n",
       "            marker => Node: GeometryTypes.HyperSphere{2,Float32}(Float32[0.0, 0.0], 1.0f0)\n",
       "\n",
       "        contour =>         Scene:\n",
       "            fillrange => Node: false\n",
       "            levels => Node: 5.0f0\n",
       "\n",
       "        axis =>         Scene:\n",
       "            gridthickness => Node: (1.0f0, 1.0f0, 1.0f0)\n",
       "            visible => Node: true\n",
       "            scalefuncs => Node: (identity, identity, identity)\n",
       "            showgrid => Node: (true, true, true)\n",
       "            axiscolors => Node: (RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0))\n",
       "            showaxis => Node: (true, true, true)\n",
       "            tickfont2d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 0.0, 1.0], (:right, :vcenter)))\n",
       "            tickfont3d => Node: ((0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-0.0, -0.0, -0.707107, -0.707107], (:hcenter, :left)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[0.0, 0.0, 1.0, -4.37114f-8], (:right, :vcenter)), (0.1, RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), Float32[-6.18172f-8, 0.707107, 0.707107, -3.55271f-15], (:right, :vcenter)))\n",
       "            axisnames => Node: ((\"X Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Y Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)), (\"Z Axis\", 0.1, RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.4f0), Float32[0.0, 0.0, 0.0, 1.0], (:center, :bottom)))\n",
       "            showticks => Node: (true, true, true)\n",
       "            gridcolors => Node: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))\n",
       "\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        meshscatter =>         Scene:\n",
       "            markersize => Float32[1.0, 1.0]\n",
       "            rotations => Float32[0.0, 0.0, 1.0]\n",
       "            marker => Node: HomogenousMesh(\n",
       "    faces: 288xGeometryTypes.Face{3,GeometryTypes.OffsetInteger{-1,UInt32}},     vertices: 145xGeometryTypes.Point{3,Float32},     normals: 145xGeometryTypes.Normal{3,Float32}, )\n",
       "\n",
       "\n",
       "        surface =>         Scene:\n",
       "            image => Node: nothing\n",
       "\n",
       "        colornorm => Node: nothing\n",
       "        volume =>         Scene:\n",
       "            absorption => Node: 1.0f0\n",
       "            algorithm => Node: 2\n",
       "            isorange => Node: 0.01f0\n",
       "            isovalue => Node: 0.5f0\n",
       "\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        image =>         Scene:\n",
       "            spatialorder => Node: :yx\n",
       "\n",
       "        heatmap =>         Scene:\n",
       "            linewidth => Node: 0.0f0\n",
       "            levels => Node: 1.0f0\n",
       "\n",
       "        lines =>         Scene:\n",
       "            linestyle => Node: nothing\n",
       "\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        drawover => Node: false\n",
       "        color => Node: MakiE.UniqueColorIter{Array{ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}},1}}(ColorTypes.RGB{FixedPointNumbers.Normed{UInt8,8}}[RGB{N0f8}(0.894,0.102,0.11), RGB{N0f8}(0.216,0.494,0.722), RGB{N0f8}(0.302,0.686,0.29), RGB{N0f8}(0.596,0.306,0.639), RGB{N0f8}(1.0,0.498,0.0), RGB{N0f8}(1.0,1.0,0.2), RGB{N0f8}(0.651,0.337,0.157), RGB{N0f8}(0.969,0.506,0.749), RGB{N0f8}(0.6,0.6,0.6)], 2)\n",
       "        mesh =>         Scene:\n",
       "            indices => Node: nothing\n",
       "            attribute_id => Node: nothing\n",
       "            shading => Node: true\n",
       "\n",
       "        linewidth => Node: 1.0f0\n",
       "\n",
       "    cursor_position => [0.0, 0.0]\n",
       "    mouseinside => Node: true\n",
       "    mouse_button_down => Node: 0\n",
       "    mouseposition => [0.0, 500.0]\n",
       "    arrow_navigation => Node: :nothing\n",
       "    key_pressed => Node: false\n",
       "    mouse2id => [-1, -1]\n",
       "    framebuffer_size => [500, 500]\n",
       "    button_down => Node: 0\n",
       "    unicode_input => Char[]\n",
       "    window_position => [1920, 700]\n",
       "    mouse_buttons => Node: (0, 0, 0)\n",
       "    entered_window => Node: false\n",
       "    button_released => Node: 0\n",
       "    window_open => Node: true\n",
       "    dropped_files => String[]\n",
       "    hasfocus => Node: false\n",
       "    linesegment =>     Scene:\n",
       "        offset => Float32[0.0, 0.0, 0.0]\n",
       "        positions => GeometryTypes.Point{3,Float32}[(Float32[0.091698, 0.698012, 0.884593], Float32[0.083043, 0.674227, 0.858351]), (Float32[0.083043, 0.674227, 0.858351], Float32[0.086632, 0.691097, 0.875733]), (Float32[0.086632, 0.691097, 0.875733], Float32[0.091698, 0.698012, 0.884593]), (Float32[0.066943, 0.562335, 0.904249], Float32[0.062805, 0.591207, 0.902102]), (Float32[0.062805, 0.591207, 0.902102], Float32[0.058382, 0.577691, 0.904429]), (Float32[0.058382, 0.577691, 0.904429], Float32[0.066943, 0.562335, 0.904249]), (Float32[0.033097, 0.589028, 0.925956], Float32[0.058382, 0.577691, 0.904429]), (Float32[0.058382, 0.577691, 0.904429], Float32[0.062805, 0.591207, 0.902102]), (Float32[0.062805, 0.591207, 0.902102], Float32[0.033097, 0.589028, 0.925956]), (Float32[0.062805, 0.591207, 0.902102], Float32[0.034467, 0.615638, 0.897269])  …  (Float32[-0.026661, 0.48513, 0.905901], Float32[-0.028326, 0.485196, 0.907403]), (Float32[-0.025328, 0.485275, 0.907261], Float32[-0.028326, 0.485196, 0.907403]), (Float32[-0.028326, 0.485196, 0.907403], Float32[-0.026993, 0.485342, 0.908763]), (Float32[-0.026993, 0.485342, 0.908763], Float32[-0.025328, 0.485275, 0.907261]), (Float32[-0.032218, 0.490347, 0.901804], Float32[-0.031557, 0.490106, 0.899161]), (Float32[-0.031557, 0.490106, 0.899161], Float32[-0.030709, 0.490512, 0.900562]), (Float32[-0.030709, 0.490512, 0.900562], Float32[-0.032218, 0.490347, 0.901804]), (Float32[-0.031557, 0.490106, 0.899161], Float32[-0.032218, 0.490347, 0.901804]), (Float32[-0.032218, 0.490347, 0.901804], Float32[-0.033066, 0.489941, 0.900403]), (Float32[-0.033066, 0.489941, 0.900403], Float32[-0.031557, 0.490106, 0.899161])]\n",
       "        color => Node: RGBA{Float32}(0.8941177f0,0.10196079f0,0.10980393f0,1.0f0)\n",
       "        rotation => Float32[0.0, 0.0, 0.0, 1.0]\n",
       "        drawover => Node: false\n",
       "        linestyle => Node: nothing\n",
       "        visible => Node: true\n",
       "        linewidth => Node: 1.0f0\n",
       "        scale => Float32[1.0, 1.0, 1.0]\n",
       "        model => Float32[1.0 0.0 0.0 0.0; 0.0 1.0 0.0 0.0; 0.0 0.0 1.0 0.0; 0.0 0.0 0.0 1.0]\n",
       "\n",
       "    keyboard_buttons => Node: (0, 0, 0, 0)\n"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using MakiE, GeometryTypes\n",
    "scene = Scene(resolution = (500, 500))\n",
    "wireframe(GLVisualize.loadasset(\"cat.obj\"))\n",
    "center!(scene)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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