{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Solving the river pollution problem using NIMBUS\n",
    "\n",
    "First, some boilerplate imports. We import optimisation methods from desdeo, the RiverPollution problem from example (FIXME), and visualisation and preference selection tools and widgets from desdeo_vis. Finally, we import and initialise altair."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from desdeo.method.NIMBUS import NIMBUS\n",
    "from desdeo.optimization import SciPyDE\n",
    "\n",
    "from desdeo.problem.toy import RiverPollution\n",
    "\n",
    "from desdeo_vis.plot import parplot\n",
    "from desdeo_vis.widget import NimbusPrefWidget\n",
    "\n",
    "import altair.vega.v3 as vg\n",
    "vg.renderers.enable('notebook');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initial iteration and preference selection\n",
    "\n",
    "In this notebook, we explore solutions to the RiverPollution problem with NIMBUS. First we initialise the RiverPollution problem and the NIMBUS solution method. Then we get an initial result. We can plot solutions at any time using `parplot`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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"
     },
     "metadata": {
      "jupyter-vega": "#05adb5f1-ecdc-44b2-aca9-e45e39bd97b2"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "problem = RiverPollution()\n",
    "method = NIMBUS(problem, SciPyDE)\n",
    "results = method.init_iteration()\n",
    "\n",
    "parplot(results.objective_vars, problem)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we will give our first preference based on NIMBUS. We construct a `NimbusPrefWidget` and save it to a variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a07a2e61be494fa5ade2384efa97a595",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "NimbusPrefWidget(spec={'$schema': 'https://vega.github.io/schema/vega/v3.json', 'width': 400, 'height': 200, '…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pref = NimbusPrefWidget(results.objective_vars, problem)\n",
    "pref"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solutions based on preference\n",
    "\n",
    "We can now generate a new set of results based on this preference. Note that this will raise an `InvalidNimbusPreferencesException` if you run it while the above preferences are invalid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"3de73544-3d10-4942-8bae-1a2e6fc5615c\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed .error p {\n",
       "    color: firebrick;\n",
       "    font-size: 14px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#3de73544-3d10-4942-8bae-1a2e6fc5615c"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"$schema\": \"https://vega.github.io/schema/vega/v3.json\", \"width\": 400, \"height\": 200, \"padding\": 5, \"config\": {\"axisY\": {\"titleX\": -5, \"titleY\": 205, \"titleAngle\": -30, \"titleAlign\": \"right\", \"titleBaseline\": \"top\"}}, \"data\": [{\"name\": \"main\", \"values\": [{\"Water Quality Fishery\": -6.236052090684706, \"Water Quality City\": -2.873086881534831, \"Fishery ROI\": -4.254285086681865, \"City Tax Increase\": -3.968197475723301e-06}, {\"Water Quality Fishery\": -6.156349815181068, \"Water Quality City\": -3.1291096992917167, \"Fishery ROI\": -5.315124840393022, \"City Tax Increase\": 1.8618145692479122}, {\"Water Quality Fishery\": -4.074918559291089, \"Water Quality City\": -3.274595521030603, \"Fishery ROI\": -7.558621047574974, \"City Tax Increase\": 4.588842863091297}, {\"Water Quality Fishery\": -6.073802406477831, \"Water Quality City\": -2.8495035552730066, \"Fishery ROI\": -5.925452314156969, \"City Tax Increase\": -0.07926605504585993}]}, {\"name\": \"fields\", \"values\": [\"Water Quality Fishery\", \"Water Quality City\", \"Fishery ROI\", \"City Tax Increase\"]}], \"scales\": [{\"name\": \"ord\", \"type\": \"point\", \"range\": \"width\", \"domain\": {\"data\": \"fields\", \"field\": \"data\"}}, {\"name\": \"Water Quality Fishery\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-6.34, -4.07]}, {\"name\": \"Water Quality City\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-3.45, -2.82]}, {\"name\": \"Fishery ROI\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-7.56, -0.32]}, {\"name\": \"City Tax Increase\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-0.08, 9.71]}], \"axes\": [{\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Water Quality Fishery\", \"title\": \"Water Quality Fishery\", \"offset\": {\"scale\": \"ord\", \"value\": \"Water Quality Fishery\", \"mult\": -1}, \"values\": [-6.34, -6.0, -5.5, -5.0, -4.5, -4.07], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Water Quality City\", \"title\": \"Water Quality City\", \"offset\": {\"scale\": \"ord\", \"value\": \"Water Quality City\", \"mult\": -1}, \"values\": [-3.45, -3.4, -3.3, -3.2, -3.1, -3.0, -2.9, -2.82], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Fishery ROI\", \"title\": \"Fishery ROI\", \"offset\": {\"scale\": \"ord\", \"value\": \"Fishery ROI\", \"mult\": -1}, \"values\": [-7.56, -7.0, -6.0, -5.0, -4.0, -3.0, -2.0, -1.0, -0.32], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"City Tax Increase\", \"title\": \"City Tax Increase\", \"offset\": {\"scale\": \"ord\", \"value\": \"City Tax Increase\", \"mult\": -1}, \"values\": [-0.08, 0.0, 2.0, 4.0, 6.0, 8.0, 9.71], \"format\": \".5\"}], \"marks\": [{\"type\": \"group\", \"clip\": {\"path\": \"M -40 -20 H 500 V 220 H -40 Z\"}, \"from\": {\"data\": \"main\"}, \"marks\": [{\"type\": \"line\", \"from\": {\"data\": \"fields\"}, \"encode\": {\"enter\": {\"x\": {\"scale\": \"ord\", \"field\": \"data\"}, \"y\": {\"scale\": {\"datum\": \"data\"}, \"field\": {\"parent\": {\"datum\": \"data\"}}}, \"stroke\": {\"value\": \"red\"}, \"strokeWidth\": {\"value\": 1.01}, \"strokeOpacity\": {\"value\": 1}}}}, {\"type\": \"text\", \"from\": {\"data\": \"fields\"}, \"encode\": {\"enter\": {\"x\": {\"scale\": \"ord\", \"field\": \"data\", \"offset\": 4}, \"y\": {\"scale\": {\"datum\": \"data\"}, \"field\": {\"parent\": {\"datum\": \"data\"}}}, \"text\": {\"signal\": \"format(parent[datum.data], \\\".5\\\")\"}}}}]}]};\n",
       "var opt = {};\n",
       "var selector = \"#3de73544-3d10-4942-8bae-1a2e6fc5615c\";\n",
       "var type = \"vega\";\n",
       "\n",
       "var output_area = this;\n",
       "\n",
       "require(['nbextensions/jupyter-vega/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#3de73544-3d10-4942-8bae-1a2e6fc5615c"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#3de73544-3d10-4942-8bae-1a2e6fc5615c"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "results2_all = method.next_iteration(preference=pref.nimbus_clf(method))\n",
    "\n",
    "parplot(results2_all.objective_vars, problem)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We might choose to generate less extra solutions..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"ab6eaea0-9302-4b1e-aac2-23b2cee083a3\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed .error p {\n",
       "    color: firebrick;\n",
       "    font-size: 14px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#ab6eaea0-9302-4b1e-aac2-23b2cee083a3"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"$schema\": \"https://vega.github.io/schema/vega/v3.json\", \"width\": 400, \"height\": 200, \"padding\": 5, \"config\": {\"axisY\": {\"titleX\": -5, \"titleY\": 205, \"titleAngle\": -30, \"titleAlign\": \"right\", \"titleBaseline\": \"top\"}}, \"data\": [{\"name\": \"main\", \"values\": [{\"Water Quality Fishery\": -6.236108909694987, \"Water Quality City\": -2.8730907862362822, \"Fishery ROI\": -4.253232025125621, \"City Tax Increase\": 9.999226291634855e-06}, {\"Water Quality Fishery\": -6.156085531779743, \"Water Quality City\": -3.1291082668308516, \"Fishery ROI\": -5.3176484975264176, \"City Tax Increase\": 1.8618368233106426}]}, {\"name\": \"fields\", \"values\": [\"Water Quality Fishery\", \"Water Quality City\", \"Fishery ROI\", \"City Tax Increase\"]}], \"scales\": [{\"name\": \"ord\", \"type\": \"point\", \"range\": \"width\", \"domain\": {\"data\": \"fields\", \"field\": \"data\"}}, {\"name\": \"Water Quality Fishery\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-6.34, -4.07]}, {\"name\": \"Water Quality City\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-3.45, -2.82]}, {\"name\": \"Fishery ROI\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-7.56, -0.32]}, {\"name\": \"City Tax Increase\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-0.08, 9.71]}], \"axes\": [{\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Water Quality Fishery\", \"title\": \"Water Quality Fishery\", \"offset\": {\"scale\": \"ord\", \"value\": \"Water Quality Fishery\", \"mult\": -1}, \"values\": [-6.34, -6.0, -5.5, -5.0, -4.5, -4.07], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Water Quality City\", \"title\": \"Water Quality City\", \"offset\": {\"scale\": \"ord\", \"value\": \"Water Quality City\", \"mult\": -1}, \"values\": [-3.45, -3.4, -3.3, -3.2, -3.1, -3.0, -2.9, -2.82], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Fishery ROI\", \"title\": \"Fishery ROI\", \"offset\": {\"scale\": \"ord\", \"value\": \"Fishery ROI\", \"mult\": -1}, \"values\": [-7.56, -7.0, -6.0, -5.0, -4.0, -3.0, -2.0, -1.0, -0.32], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"City Tax Increase\", \"title\": \"City Tax Increase\", \"offset\": {\"scale\": \"ord\", \"value\": \"City Tax Increase\", \"mult\": -1}, \"values\": [-0.08, 0.0, 2.0, 4.0, 6.0, 8.0, 9.71], \"format\": \".5\"}], \"marks\": [{\"type\": \"group\", \"clip\": {\"path\": \"M -40 -20 H 500 V 220 H -40 Z\"}, \"from\": {\"data\": \"main\"}, \"marks\": [{\"type\": \"line\", \"from\": {\"data\": \"fields\"}, \"encode\": {\"enter\": {\"x\": {\"scale\": \"ord\", \"field\": \"data\"}, \"y\": {\"scale\": {\"datum\": \"data\"}, \"field\": {\"parent\": {\"datum\": \"data\"}}}, \"stroke\": {\"value\": \"red\"}, \"strokeWidth\": {\"value\": 1.01}, \"strokeOpacity\": {\"value\": 1}}}}, {\"type\": \"text\", \"from\": {\"data\": \"fields\"}, \"encode\": {\"enter\": {\"x\": {\"scale\": \"ord\", \"field\": \"data\", \"offset\": 4}, \"y\": {\"scale\": {\"datum\": \"data\"}, \"field\": {\"parent\": {\"datum\": \"data\"}}}, \"text\": {\"signal\": \"format(parent[datum.data], \\\".5\\\")\"}}}}]}]};\n",
       "var opt = {};\n",
       "var selector = \"#ab6eaea0-9302-4b1e-aac2-23b2cee083a3\";\n",
       "var type = \"vega\";\n",
       "\n",
       "var output_area = this;\n",
       "\n",
       "require(['nbextensions/jupyter-vega/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#ab6eaea0-9302-4b1e-aac2-23b2cee083a3"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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xKj89Jk7lMRy3h0dEXbLzQtSweN41JJ0VZtYV+/PCXxGiTh6QZkKY6Cptn6zjKuO3uolTkCcezMRPHChpv0T66PhX6CObRsDEqWnEZzYerjnc6YdG+abPS9pM0j/Wrl17RJqmRw5e2erVq733l5gug1cCvAlOvUPo8xDAt8sQ4kRZjddJ+nm8NTwviroOHcLEaQLkO3JoKkGsWQN3TaQ/THrZTRCn/JqiZMupkr6CW8AlWyadrWaON3FqBucWjAJhou7lGklXlvR9SXeT9H/Drs37R/kZM3Eqj+FKPVwzapDtKenu4YIbdNXx+T1D9JA0cGqXQbb+7YW/Erzd/3sqUZeOuKaHJtKXprmjJolTWJ94wyXuaTdJeybSMPXzaW7F51SEgIlTRUC2v5urh/4ae83VYh95+6jLNnEqP6EmTuUxHNbDHuGW429vjc3lT5KuJ2mTsD6dUDiReeCNISdK35D0KEm/tKm1nglqS69p9ob4NUlvTrJCv1O1polTwfqEa5GH9PskPdclW6aavlpOMnGqBdbOd2riVH4KTZzKYzhJD/85wuJEFsRNw0dNVhUFV+9qi9Mk0Hbz2DRzz904yTJipm6zIk5hfeKN98WR0fP4JCsZ4zZjBEycZjwBLR3exKn8xJg4lcdwkh4GidNXIwPiV2FeRbyMTYhgvpGuDy/8SSBv77GphGUSd9eWZeOEZkmcCtYnSrZQY+/Vkta6ZMts156J02zxb+vo3j/Kz4yJU3kMG+/BC79xyCsfMAKsvxzK4GRalmptIE5hfaK+HiVbbo91NZF+WurGfPLUCJg4TQ1dr0/0/lF+ek2cymPYeA9e+I1DXumAqUQQ5zmSjkqyGLjSrS3EqWB9omTLK1AxTjJxPreGETBxahjwjgzn/aP8RJk4lcew8R688BuHvNIBU+l0Sb9LJBS5K2ltI05hfSJe702hMUPB4Asrudn57mSniIX8q6S/S9pb0t+GQWLiNN8LZdTde/8ovy5MnMpj2HgPXviNQ17ZgKl0kKQnIXRZZQZaG4lTwfq0Hxl3khYSCfVxt+kRoKoAmYxk6VKJ4PeSXm7iND2g83am94/yM27iVB7Dxnvwwm8c8koGTDOtrk9K2iKRflFJp9FJm4lTWJ9uE9IclGzZJ5EuqvL+56gvqgzkwoZImpDBeLKJ0xytgJK36v2jJICSTJzKY9h4D174jUNeesBUuoGkb0naP5E+WLrDgQ7aTpyCPFGy5dmSDpD0FJdsKbUKdo/SN9tK+ic9rVmz5rwkSe603tKXrqvac8bi4uLDSo3kk3uFgPeP8tNp4lQew8Z78MJvHPLSA6bSpyWdnWTEofLWBeK0fkPPykG8TZlKOiVbhsboVA5SNzssiulScYBMzEVJD5ZEAD4uu6HNMU7dnPC6r9r7R3mETZzKY9h4D174jUNeasA0i0VBw2vburSNukScwvpEyRZweZykJ7pky9hLjFgxrErEyf1rubNMnMbGdK4O9P5RfrpNnMpj2HgPXviNQz71gGlmGcC6slmdWWVdI04F69P9KDcj6T2SnpesQAamnoh+nHgTSedLQvcrJ01kLZ447PZMnPox6VXfhfeP8oiaOJXHsPEevPAbh3yqAVPp5pLOlfTYRPrMVJ2MeVJXiVNYn1DLf4mkbVDSd8mWMSd9hcNMnKrBsW+9eP8oP6MmTuUxbLwHL/zGIZ94wFS6YsSjvC+Rjpm4gwlP6DJxKlifHiLpNZJOknRsIl02IQw+vICAiZOXwzAEvH+UXxcmTuUxbLwHL/zGIZ94wDRTzb5DIu048clTnNAH4hTWp+tIeoMk3FJ7JNLPpoDDp2RZdo+X9OjFxcVdDYgRyBHw/lF+LZg4lcew8R688BuHfKIB0yzg+fiIa/rzRCdPeXBfiFPB+sRm/+Io2ULRYLcJETBxmhCwOTnc+0f5iTZxKo9h4z144TcO+dgDptLtJH1d0g6JdPbYJw4/8EBJjwy9tbWSPj6qv74Rp7A+UbKFwHoCofeuM7i+5Dy18nQTp1ZOy8wvyvtH+SkwcSqPYeM9eOE3DvlYA6bS1dBqIsupgsK2kIaPKlMbp18Uom87T8SpYH3aX9LhCD4m0nvHmgwfZFed18BQBLx/lF8YJk7lMWy8By/8xiEfa8BUOo0DE2mXsU5Y+SACzP8tiXIlpOvfYx6JU1ifII3vlPSTUF9vxAW68hS19whbnNo7N7O8Mu8f5dE3cSqPYeM9eOE3DvmKA6bSUyU9S9LmSVa1vqr2RElHhtYR/2ppaemukr5THCBN04tXrVq178LCwrurGrht/aTSFSQdqgxr6t19qm3X2KbrMXFq02y051q8f5SfCxOn8hg23oMXfuOQLztgKm0u6bOS7ptk4oTTNoq27hAn313SpfE7lqczw131uWGd9zHGaRSIaVay5VRJZ0FWXbJlOFImTtN+Dft9nveP8vNr4lQew8Z78MJvHPKRA6bSdSV9k+K1iVSltQerEuU1dovBsa48X9IX5p04cf+pdGVJLyTdXtITEulr7VkV7bgSE6d2zEPbrsL7R/kZMXEqj2HjPXjhNw75csTpY8TdJNLTargqhDO3krRKWZHgkUKa82RxKuKcSpRsOSUsUEe4ZMvl6Jg41fCN7EGX3j/KT6KJU3kMG+/BC79xyIcOmEqHRYX6rZMsiHtmbV6JU1ifrinppZK2lvT4ku7Smc1h1QObOFWNaD/68/5Rfh5NnMpj2HgPXviNQ77RgKm0XWS6EQx+wayvaJ6JU459KlGy5XXKVNuPm/eSLSZOs/5WtnN87x/l58XEqTyGjffghd845BsMmEpoLJHVRkHakaKUTV6liVOGdipdP8jT3JdsMXFq8hvYnbG8f5SfKxOn8hg23oMXfuOQrx8wUuLJbPt0kokytqKZOG04Dam0O8oNko5OMivU3DUTp7mb8rFu2PvHWDAte5CJU3kMG+/BC79xyIvEifpp95K0fbLOwNGOZuK08Tyk0s0kvWVeS7aYOLXju9m2q/D+UX5GTJzKY9h4D174jUO+bsBUekS4ge6aSH+YzVUMH9XEafRspNIBygL5nzFPJVtMnNr0DW3PtXj/KD8XJk7lMWy8By/8xiGHNG0aek0PTaQvNX8Fy49o4rQ8Pql0+ygY/CNJByRS70u2mDi17Vvajuvx/lF+HkycymPYeA9e+M1CHmKLCCyekkjHNTv6eKOZOK2MU8SnLUraT9KT+l6yxcRp5TUxj0d4/yg/6yZO5TFsvAcv/GYhT6WTJW2SSI9sduTxRzNxGh+rVNpS0lslfUbSc/passXEafw1MU9Hev8oP9smTuUxbLwHL/zmIE+lPaK0x2aJ9NfmRp5sJBOnyfAKK+KLJD2qryVbTJwmWxPzcrT3j/IzbeJUHsPGe/DCbwbyVLqzpC9L2jaRzm1m1OlGMXGaDrdUeoCkN0p6h6SjOlCyBeHVIyT9I4ocI7kwtJk4Tbcm+n6W94/yM2ziVB7Dxnvwwq8f8lS6RgSDLyXS6+sfsdwIJk7T45dKlGw5IeoCtr1kCwWlUUj/Tbga95d03rC7N3Gafk108EyyRu8v6WohwcHLwNDm/aP87Jo4lcew8R688OuHPJVOl3RRIu1Z/2jlRzBxKo9hyE28UtLLqX3X0pItV1RWF/GqyrI7IVEXmjiVn/8O94AV8qmSdpV0dUnPlLTGxKm+GTVxqg/b2no2caoN2nUdp9Ihkv5H0haJ9M96R6umdxOnanCMki1vknQDSbsl0vnV9FxpLwiwvkrSHyXtHG47rVmz5rwkSe6Uj5Sm6/RZz1hcXHxYpaO7s7YhAEm6VBJzj/V0dVjLbXGqaaZMnGoCts5uTZzqQzeV7stmg9smkX5c30jV9mziVC2eaWZpJHj8yBm7aklOYCOkQeaJucsbG+bfJL1g2N3bVVftmmhxb5QUurmyrF/0yt6rLD7TxKmmSTNxqgnYOrs1caoH3TSzMnxX0pMT6YP1jFJPryZO1eMaJVsIGoec7JVIv6t+lIl6XBUB4Q+V9BdJzw9LwzEmThPh2LeDSRD434jT4954hm2LRXLt2rVHpGl65OANr1692nt/iVVg8EqAN6tTTZyqRz6V+C6cKemcJHPVdaqZONUzXbEunoHeE7EjLSjZ8jiUz5VJY1wMyQ9itxEAtjjVsyZa2OvDwxqJ2/ZGkj4fFqfLhl2r94/yM2jiVB7Dqnr4tqRLojNcRAT6DW1e+FVBfnk/aebu2EnSfZIsXqBTzcSp3umKki2nxts8JVsgLa1uJk6tnp6qL+5YSZtHcDgWJl4CvX9UjXL0Z+JUE7ATdkvq+1mSCPpcsZk4rQjRRAek0oOjjhnB4BdMdHJLDjZxqn8iUomMNtK+95G0b9tLtpg41b8mujiC94/ys2biVB7DKnrYRhIBfj+XRBzD8yRRG81vDFWgu0wfaRZUibXvMUlWgqOTzcSpuWmLki3vlPQxSYcmmRhl65qJU+umpBUXZOJUfhpMnMpjWEUPd5d0z1AwvmNkdd0h9Fo26t8LvwrI18kOYEEgS+n0RDq6ml5n04uJU7O4p5mOElltBGrvkSzzotPslV0+monTrJBv97jeP8rPj4lTeQyn6QFy9J448TWSTpR0hQJR+kbU0PqlsyKmgXe8c9IM99sn0o7jndHeo0ycZjM3UbLlFElvlnR0kolTtqKZOLViGlp3ESZO5afExKk8hlX0cLCkm2L2l3RjSZ+VdFdbnKqAdngfqUR20vGSKN775/pGaqZnE6dmcB42SipdO1LBsRzvnowogdL0FZo4NY14N8YzcSo/TyZO5TGsogfqC1FbCPM/kvlkRXxxVMde+OUgT6XbSfq6pB0S6exyvbXjbBOn2c9DlGw5iXItkl6WrPMGz66ZOM0O+zaP7P2j/OyYOJXHsPEevPCnhzzNimBClk5KpFdM31PpM3HNUjz4+pKuHLWmSA4YbDeJYq7rS2kMG9nEqfR8VNJBmunoMK/XkbTnLEu2mDhVMqW968T7R/kpNXEqj2HjPXjhTw95Kp3G2Ym0y/S9VHImrkKKcz49/qXK/eMHekbYDn2pW0XttJEDmzhVMieVdZJKe0t6IRmySWZNbryZODUOeScG9P5RfppMnMpj2HgPXvjTQZ5KT5NEPNnmifT36Xqp9Ky80j31yO4jCYXqYiNo/auomUu69XIjmzhVOi+VdJZmhJfA8YtC96nRki0mTpVMY+868f5RfkpNnMpj2HgPXviTQ55mcg+fknTftgTvxl28BJdO/KALNKzhwjNxmnzaZ35GlGw5SNKzJO3fZA1EE6eZT38rL8D7R/lpMXEqj2HjPXjhTwZ5Kl1X0nckHZRI757s7MqOHpSgKMZXbSIJCQoqmw+zhG1AnJaWlsi45H7WtzRNL161atW+CwsLs7q/yoDqY0dpVq3+bSG2+owmSraYOPVxJZW/J+8f5TE0cSqPYeM9eOFPBnmaKTz/LJGeOtmZtR79JGWE7mURSExF89tK+ueQUauyOBFz81hl2V7oh52wzB3iYvqwJBSyaY+KeCuC2rkerv+3ku4m6bVxD3y+b1Rqz7v+nygl1Cbsa53YUZ2H4CpVAZ4oaa8kkx2prZk41QZtpzv2/lF++kycymPYeA9e+ONDnkqHS/pvlNnbJE4o6VohQUFGHb/jsvtQpLJTAqYYUFwFcfpPBBolPUDSVZRpDT1I0k8G0ERPDFLF8dRkgzhdUxKFp4nD+kWUBNo0KrJ/S9KLJFEAl5p/uKVQ02YMZDUIfsfSMvfEKcc5lbaS9FZJH5G0uq6SLSZO4z8n5ulI7x/lZ9vEqTyGjffghT8e5GmWtYZC+z2SbMPvbRszOBwyc4my+nxfkXRvSb8eAOUQSX+VdD9JHw3ihGUMwnV6HPsw4nXCCoVrEf2xy+Jvf5N0Q0lbS+I4CBfCkCZOBaCjZAsV7UkA2DXJEgAqbSZOlcLZm868f5SfShOn8hg23oMX/sqQp5kCO+6vJyTSx1c+o9tjkSUAACAASURBVNtHjEmcuMnFUKiHUOJGG9XeVCBOxWMgX2eigxVWk3PDWkbJkd3CukQg+/lxEmn5kCgTpyFIp9IOofsE3i+s0ipq4tTt73RdV+/9ozyyJk7lMWy8By/85SFPs7p/n5N0VpIRhd63CYgTWCACekaQnJNHgDOMOOGyI/gcQkqWGI0Yp1dKuqUkzoEo3VfSb0ycxlt2UbKFuomboeWVSD8a78zljzJxqgLF/vXh/aP8nJo4lcew8R688FckTseFq2mbWZe9aGpxDCFOWHiwCtEIAn9duNTyEjMQn9tEDNKwyxwkTmT+QbYgTkuFE+4QcVKXRqwWLlHUs/k/zRanMRdBKj1G0sslsX5PKLt2TZzGBH7ODvP+UX7CTZzKY9h4D174oyGPemGQhLsn0oWNT86MBhzD4kTA9hERq7RKmfsSKwdB3dTu+1mB7HAXReLE8V+I7LlBFWzioOiHwHYyxpBU2KsAg4nTBGsiSra8JWpW7pZsHIM2dm8mTmNDNVcHev8oP90mTuUxbLwHL/zhkKcSmV7E3Dwkkb7U+MTMaMBUuuHJBx/8sStcdtlr9znhBDLiRjWy3HYNOYK3h7wAxyJPQDZd7l4bJE6PlPQBSf9X6BhF8+0l3SVIFgHkuPCQKfiziVO5xZBmsg5HSTo8kYgfm7iZOE0M2Vyc4P2j/DSbOJXHsPEevPA3hjzNCuV+TdLbE2lt45MyowHTTBPopafuu+9ld/vGN5K7nHPO/0r6IBagRPrijC7Lw1aAQJRseYekP+DyTKQ/FrpFWuJmywX4mzhVMAk97ML7R/lJNXEqj2HjPXjhDyVOCDZukmTp3b1vYV3DbXYTXGNrl5YWkiQ59dCFBXSZHhE/WODQCoJIfTTJZAbcOoRAKuEmpb7iMyUdECVbmN/VocU1MjPSxKlDE93gpXr/KA+2iVN5DBvvwQt/Q8jTTKjx+RHXREHV3rbYSBGZJJ7oeMQnE+lfw2KcIl4GxW82WnSYvh4k6gN917Xq2wKIki2nfln60bbSFf8tvUrSLrY49W2m678f7x/lMTZxKo9h4z144V8OeSptHoHLZNAR39Tblmbp6ljW/o1mUpKJS65rKwWHp5mSN2rgD4+fi4NEYY36UnK5gGVv8ev6jW0nXfd30tmflFYdIb38tRI1C6uyOBHET1/3H4ITdfYoq3O9qKV4gCRi3FCS/3yIqnIa3z+EU1HCJ8CdpAOyK7GYfToU6N8QsgvsPbjUSUJwaxAB7x/lwTZxKo9h4z144WeQp9I1IiAZqwsP9l62iN8iI+5pYVk7cTBVfSXiNAhMKm0ZliiIFLIEuUvvI3bptWoZ7RFuOS6KMi27XVf6902lzS6Q/nWJ9PxLpJfyxzVr1pyXJMmd8qtPU2L+dcbi4iIK7ss1aiR+MlTkhxEnauph3XyvpG2jHBCkiHI6JBVQ1qjYqIkIUX+OshcbMi5vFSV/SCI4MCQrvhlEq9eq/q1aTdlLVrp6NZV+3KZFwOBNi9wMz/PCX0+cKAFySZK5LHrZ0uytHisTcgH7JNIFw250UuJU7GPApffAgkvv/XbptXNZ3UR62GbSsZ/ILm+PYSVbxoxxumJIUyCECjEfRpxQhEe/619hNaJMz3WUZfuhEn+LqGGIdtgPJLGv0C/HU7+QOowIpbK2qLuYEyWSOSjdgwvZrSEEvH+UB9rEqTyGjffghb/O2oSAIynbFO+lXlqvWpq5O16sTBTx4CQrlDuylSFOAyQKSwFlQIiLwhr1l4JL74t26bVmmeF23TWVyLrD3YV22THJ5cKjWKAeL+nRi4uLSFCMamTn/S6U9tHjGkaciucizonVCLfeq8NNjrQF30UsSbiT84aFCv2w/cJ1V+yH9UWtPggVrme3hhDw/lEeaBOn8hg23sO8L/w0K+mBivVWxTifxieipgHTrDguGyE14Z6RSH9aaaiqiNPgOENceghe5ll6xEm5zRiBNCMylL1BfHT3vGTLGMRpG0mHBUGmEPNKxAkXHEkGOw1oeuUIIDh7D21oFaUUD/FQFNzGGkVDF+xl0c8PZwzf3A0/7/tHFRNu4lQFig33Mc8LP5VuEHFNT47U7IbRr2+4VKKsCZsXxHDfSYoT10Wcinc7xKVH+RZIFFl6uBLdZohAlGxh/axJpFeMIE6InFIAmwY5x6KJxQfX2rUlfSXimIp3Qu3H18ffd48AcfYO6kBiFcUlR/utsoD1LeI7ikuPxhrBrYe77ykRG4XFCbedW8MIzPP+URXUJk5VIdlgP/O68NMsdgIrzLlJpmvTmxaSCrgucHssJhuqdK94n00QpwESNejSQyNqnfAmmVZ26a04ZbUckGakCNfdlV538MHv/sMmm2y3gqsuvw7ITtHidH1lxbJx47EuqT+IO+6ywoV/Oc5ZF7QeMVIEj3M864PvKFpiCLGSbYcb7wXhCl7RiloLQO7UweEVrAETpwpAbLqLOSZOPHT/M8ksMr1ooQ7NxnNDSXsmUl6Ed6L7a5o4DV5cuPSIicKSQJYWLj1I1BmJZJfeRLNZ/uBU2u87W2659OUHPvDHTz7++HuP0eMgcaI8D+KqZMxhpcKqVCRNWH6ZZ4LKWbtYm6hRiOWR+DwsVBAlzkNzjESOb4RFKrdQcVk7R0bfGJfoQ6pAYF73jyqwy/swcaoSzYb6mseFn2bZOQRIbzEqs6wh+CsZJoQsD5H03Ej1JrC3uKFMNM6sidOANQrrRC68SWwLZBAS9T679Caa1lIHv+6gg/a/9kUXHf3fb3wjaf/EPkFu3OYcgXncP6qechOnqhFtoL95W/ipdHNJ3yYeI5E+0wDEtQ4xIGSJlen7ZQdsE3EaIFGDLj0KBUOicOvh0kMg0a0GBPIYp9WLi1+QtIAeVJJpQbnNMQLztn/UMdUmTnWgWnOf87Tw0yxolVgKitbiPuhsC/Vu7gG9G0rEbCRkOe3NtZU4Dd5PmgUO57X0/mPApdfrcjnTzu205xWDw6O24anKCgXvlUi/n7Zfn9dtBOZp/6hrpkyc6kK2xn7naeGnWU2uOyfSg2qEtPau00wfh8wiyqSMFLKc9kK6QpwGrFG5S4/YKOaXGJh11qhEcpr6tIshzhvMqivUOcRF/KxEgki5zRkC87R/1DW1Jk51IVtjv/Oy8FPpcRH/c/dE+kONkNbWdZopLJOyTRDsikKW015IF4nTAIkadOn9reDS+5xdepOvjFE6TqmEpQ/ShAr93uPohE0+us+YAQKUv+HlYytJvxo1/rzsH3Xib+JUJ7o19T0PCz+qweOi237aTLOa4B+72xCypKgpdcCeWad7pOvEaRDUAZceddE+FnFRH04ku/TGWIXLCWCG9YlactSbOyDJst7cuovAlSWdFlmLJGSYONU4lyZONYJbV9d9J06pdLWotE4M0Al14VhXvyFkeZIk0sAnErKc9pr6RpwGrFG49FCbJjZqe0nn5GVgksvVqKeFrrfnjaEcTumiO4b16btBoP7cW0D6fWNocL1fWRwoJXZMnGqcbxOnGsGtq+s5IE68OV0lyTbLTrU0q+G1NqQTJhaynPZm+0ycBkgUb9bUactr6f2jUEsPl57rngVg4xAnDo0EjNWh6r1fIn1k2nXo82aCwJNCDX6JTFUTp/rnwMSpfowrH6HPxCmVDpB0UOg1kbreiZZKt4ngb0QDdxvDvZiXsUChGTJApt1gCQo2s//K9jZ9TtJRo8CYF+I0eP8DLj1qteUuPYQ351qdelzilGOaZuVSiH36etRIpMCzW/sR+Gw8I3hObCnpe5IeIumitWvXHpGm6UbZyKtXo0zhNi0CBm9a5GZ4Xl+JUyrdU5lO070T6bwZQjz20GlWluLZUbfreEkvSqR/jtEBge/EIhBjwr/7S6Kafd7uEEQsV0k/i80sXJgbdT+vxKkIRNTSK7r0EH5cVwamK+tpjHUz9iGTEic6TqUrhSjr3uFmJj7PrTsI2OLUwFyZODUActVD9JE4RYX373RJpC+VqCh/iqRLolzKpEKWaFThWtpD0n2CGOXLhe8msV5kl/E72TK7hJyBidMKX6o0s+Lh0svLwDBHeS29s+bBpTcNccphjbWNUv+XsABPWjux6mee+xsbAROnsaGa/kATp+mxm9mZPSVOuFjOT6QnzwzYMQcOIUvq5u0XQpavSDJ32jTtJZCu+AGDwbYqCqlCsA4cNYAtTstDP8Sl9/FCll4vXXpliFPB+oR7mAK+T+qDav80X9C+ndPH/aPpOTJxahrxCsbr28JPs3ptWFO2GtPNVQGK03VRQsiS7KX3xKivkfSKwhVsEhYlYnT+Xvj86spKZPwCwcK8yOrS0hKxKFjn1rc0TS9etWrVvgsLC++e7s7m56wBlx7Cm+cWXHrEh/SilSVOOQjhQmcdflrSc2x96vby6Nv+MYvZMHFqBvX/loRl4cIY7lBJZw4MTS023Ak01KVJKR3a+rTw0yy+5wOSNk8ygtDKFkKWzCFClrguytb8IhPmupJepkwkk3Rwqs3n8VF8N7FAgc0rVwLFFqeVEBr+9wGXHm49Ci0XXXpTF16e7oqqO6sq4sQVBU7HxAsOBYOpf+fWQQT6tH/MCn4Tp2aQJ02UWAE2wWHtGpII/r3XOJfTl4WfSjcOwoAbgM2qlS0UzLEQQXarErK8lqQ3RkYdv0PKKDfy0ihofHFIGhQtSwSHs442aiZO1SydgksPEoWVEJce80KAOXXeOtOqJE75TadZLB5xfUgWkJpVtJB2Bpt5vtC+7B+znEMTp2bQ/0QE+UKQSPXFNVXUm9lG0usiHZ2YludJ+tqoS+vDwo9sNFLsP59IWOBa11IJaYGTlQWBU1+OeWxlM3GqflqGZOnh0str6WEhbHWrgzhxw6l0VUm8DJLBiPTGV1oNhC9uAwT6sH/MekpNnJqZAdLVEXU8PzZiMqSK7hc2ZlLxsUDwlnuGJNLRh4r59WHhp5llZWtJ27atDlmaZbERpM7mQGYRb9at1pQycar3ixyuqh0Kwpt8N9eRKCQ0kszF16pWF3EqWJ944XuLpPfxMphIiJG6tRyBPuwfs4bYxKmeGSC9HPFCGkrSEKU8doW3tEehkVIYmnlADygnShzPMb/so4BZmqk+Y2GjeG8e91XPTEzYawhZvl3SDcYUspxwhHoON3GqB9dRvQ649O6kzBoJifpgzS69ceIl11123cQprE9IZhwXQq3jCL82O1EebSMETJzKLwoTp/IYrtQDhIigZ6xKf5B0bLjkXlU48WBJVLbGZUXcD0qwZE71zuKUShRsPRtl22REvM5KgNbx93Adgv9iBGwf0/YMvyIOJk51rIrx+hzi0iMuLSdRG2Q/jtfjsketFC+5/uQmiFM+WCR5YDF/p6QjuvTdqWBOOtWFiVP56TJxKo/hOD0QaEo6OQU0/5cA48je+aqk3aMgIw8dYgdIQUci/4ujOu7qwg93B2rOpyTSmnGAa+KYCoQsm7jM5XfTpaXTkiQ51XIEs52KIS69SwsuvU9X4NJbKV5yJsQprE/EcJIl+gBU8BPpW7OdDY8+DIGu7h9tmk0TpzbNxpjX0tWFn2bZOJsk0o5j3mqth6WZMjdClsQzPV/Sy0sIWdZ6rSt1bovTSgjN5u/h0svVy+9ccOmRpff7Ka5qZLzkmjVrzkuSBLfhupam6zRZz1hcXHzYFONMfUqaKba/PkoGvaACsjj1tfjEjRHo6v7Rprk0cWrTbIx5LV1c+GkW00W2IHFNF415q7UdFq6FN0n6aZRLuaC2wRro2MSpAZBLDlFw6UGkCDQnMy936aHjNqxNGi+5vo8xXXULUTw6DwsgaYXPim2ziEnEogTZeyLxl4UDiONESoVC1TTu6UFXka6ySlr19yzZgvsgdvCw0ILipQVdKF6m3BpEoIv7R4PwjDWUidNYMLXroK4t/FTaXJlg3jZJptI8s5ZK1wutJALUD0568uA2cZrZkppq4CEuvcsGXHrDCkWPEy85KXFCaR4l++WkNqh/hmv9w1H2B5K0l6SrRFgBharJPs2J0/preJr0vK9Kzz1LetH1pB/8Uzogaggi/sqzgCxiQhjcGkKga/tHQ7BMNIyJ00RwtePgLi38VOItlTfrpUR69SwRTCUykl4eQpYHTukqmeUtjBzbxKmV0zL2RUWcHWSeH1x6nyxYo4ouvVHxkhuNNabFicSV84LAoKsGsfnLQGcUTM7lFl4o6dpRkHp7SbgBqXRA8ssgcSJe87v3k57wBemAnaSH/1067CwpT4xBKf9XhYzjsfHygdMj0KX9Y/q7rPdME6d68a2l9y4t/FQ6nVIySVaLbiatS0KW0wJk4jQtcu07b8ClR7xQ7tIjLmrsgOsxiBPuMr6fSKfgKkQiBNKEBWmwYalFtZ66ig+M4/Nj9g5NtkHiRDwW2cGUF6Ku0I8Plm50kvS3CzN3/dHhvmvfJPT4irq0f7R1Gkyc2jozy1xXVxZ+KvHg3Adxz1mUZgghSx7muBmoLbfQdiHLaZejidO0yLX7vCEuPSK+15WAkfSp5dL+xyBOgzd/lygLRbHpUe0h4drDWkTGIG0UcfpZqIvn8Vvfvpr0k99K//qVdMe7STf6t3R/ST9p9yz06+q6sn+0GXUTpzbPzohr68LCT6X7SvpokCZM+Y220Isi8BQhyz37XhbCxKnR5TWzwQZcehAdXHqQqNMT6XfFCxtBnH4TWnEcijXoflHNgP/THxUO+LzYiGfiu7QuTS+sUreJQPFRxIlKCG+WRGB53oijei1jpNIjd5beeTfpXS/IyhkR4+XWAAJd2D8agKHUECZOpeCbzcltX/hpRlZwLzw9kQg+bayl0pUiK4jMIDRlXjgPYnwmTo0tsdYMFC69PC4Kl973CrX0vjmGxen6kn6o7CXnR8piECFfZL/yN4LR+T96c1htKa1CjNWLIw4rx2KYxQmtOkgTUh95O5ASS8piDa+3SjrnbOmHW0gUud49seWpkbXV9v2jERBKDmLiVBLAWZze5oUf7rEzJX0nkZ7RJD6ptFXUziJ+4klJFvQ6F83EaS6medmbTKWHKvuhrNOVPr/DDl8+9173us7T1q7lJeK7ifS3IR1Q2glZAMR3iWGC6FBzDhFeilzj6sYShaWIOCcC1fms+N0aRpxODBccLy95u2LUfySgHFK2Fr2nVHpC/E7pls5qqXVlBbZ5/+gKhiZOXZmpwnW2eeGn0oskPZhg0WREyZiqIS8IWT6NkimJdELVY7S9PxOnts9Qs9eH8OZZO+546K9vecv773byyReH+40MOizBlIGB+PD7KELV6AWnWdA5umpk7GF94lrdakCgzftHDbdbS5cmTrXAWm+nbV34aUaYTsVEn0iNCEoOCFnunUjn14t+O3s3cWrnvMzyqoquuqjFSNA38Uv8YEXiXz6jDNQ6EhXuvnX/jrBQ1XpLaSauiQXsRcnlsgW1jjlvnbd1/+jSPJg4dWm24lrbuPBTaVNJ50jaNZE+XjesIWR5fOjIHJJIb6l7zDb3b+LU5tmZzbWNEeNEtDcusyKhykkVn/26QKRyUlU7oUqzgud8n3HtkdiB1pNbRQi0cf+o6NYa68bEqTGoqxuobQs/zR5wZ0dmD4GltbZU2k2ZO+5TCPH1SchyWuBMnKZFrr/njUOcRt19EKo7FCxTuaUKQoU1uWidyi1Uf68SzVSilMtRxFslmcaUWwUItG3/qOCWGu/CxKlxyMsP2LaFn0onSaK46PZ1FslNpZtLeoOku1EvK1m+TER5oDvUg4lThyaroUstQ5yWIVS8JOUWqtzdl7v8ckI16PKbmlCl0i1CCoFaenslmVvRrQQCbds/StzKzE41cZoZ9NMP3KaFn0qPk0QGzV0T6Q/T39XoMyNTj8BvAs8RslydbFwWoo6hO9OniVNnpqqxC62DOI1JqAZjqHC1IZVQjKPC5Tc2oUql/SU9V9LhSRZE7jYlAm3aP6a8hZmfZuI08ymY/ALasvDTrKbWlyU9JMlSmStv8yZkOS2AJk7TItff85okTisQqkGXH5YqrFYQqkGX33mjCFXEUVJMmCxBEkF+29/Zq+/O2rJ/1HeH9fds4lQ/xpWP0IaFHxIAVDc/KZFeWvVNhpDloqRDQ8jyBfMgZDktjiZO0yLX3/PaQJzGIFRF6xS//0chhmrQ5fePsD6jD8dzgRJKECm3CRBow/4xweW28lATp1ZOy/IX1YaFn2alGa6SZGJ7lbZUolwDJR7+L7Jqvl/pAD3szMSph5Na8pbaTJymJFRFl9+FkvaV9PMQu0WY020MBNqwf4xxma0+xMSp1dMz/OJmvfDTTBGc8glbVFk0N5WuEXFMVFM/QtLxdQabd3DqR16yiVOfZrOae+kicVqGUFFKaZgOFW5A2jckUbEgj6PC5YcCutsAArPeP/owISZOHZzFWS78sAZ9RtK9qyxpkkr/FRlz1MyaWyHLaZejidO0yPX3vD4RpxUIFXX6SFAh2Pwnkm4XLr88hqro8pt7QjXL/aMv3zYTpw7O5KwWfipdN8o1kNVGdlvpFkKWr5C0k6SD50jIEuHB10cx1StH/S/cDsWGVQ9XKN9T6nqNFBY1cSq9FHvXwTwQp3zSUmlVxD0dIImfj0jCGjUshorqAsOy/C7p3SIYckOz2j/6hK2JUwdnc1YLP5U+RiZMksUWlG6ptDvuuBCyfPqcCVki47CdpKfHv6RbP74A6o0lfVRZvNfVJH1b0m1HgW7iVHo59q6DeSJOBQJ1xyj7RD0+nil/Lk5sJJ3khKpIqghKh1ANy/LrFaGa1f7Rpy+YiVMHZ3MWCz+Vni/psZK2KpvdZiHL9YsOMUGE/faQdB9U0AeWY/7320h6j6R7mDh18As7o0ueR+IE1FHJgIzc/fhJMuvTsm0IocpJVZFQDbr8OkmoZrF/rIR/1/5u4tS1GZPU9MKPQrqno9hdpmp5IZX4hSFkSTrxXzo4BVVe8kvIHIwfLHqDjaKnR0p6c/zL/PNQ5416fUvT9OJVq1btu7Cw8O4qL859dReBeSVOBesT3xOKjn+NZJZpnjVBqLBiFVXS6Rfrb26hKgp7EkPVakK1zP5xbWV6fDtI+s2Qlc/nPK8IMyDTmWfT3yJo/7WSrhfnURLrT4XzKZ1zrwhH4ONbRS1CQj/InN5H0g+69E0zcerSbMW1Nkmcwjr0rUj5/eC0cKVZSRYkBq4TEgNfmbavjp7HwxerEe01kojrytsmkRVE1tAwNWUsT2QMHS7pc8Pu3666jq6KyS+bwGfqNP5LErFxWCv/OKybeSdOYBLEh/qZbPL7JtInJ4d84zMKhGowhgpC9YshLr/vt4VQjdg/toqYS57TEJthxOlnkh4e9/bG+Pe4+BddrQ9HVjTPK/5/lXjZIxwBva2nBpKc+3VJr4x52SX6rWJqGunDxKkRmKsdpCniFIU+ITifSaRnT3MXafZwZ8N/loUsN0AQyQXeuF4WZJK3Vh66/4yjeCBTYoK3NxoFjXGXfsHEaZqV2JtzPiHpkIh521nSL6PA9kY3aOJ0OSSpdPewPn02klCwdFTeBghVkVThbi9aqPLg9CoIFQQFMnItSViNsArhIRjaRuwfWIxI+HmLpK1HECeunzhM9gSO5Vl0Vvy+RQzGNfByTEbj9pIeJunHyvDPiRNjnCdpTXyGJQvy1Jlm4tSZqbr8QhskTmzqxN5sm0iXTgpVSBe8I8yxuyWZedctQ4AHDA87iCW/87D7kDIVdgLB+dsxxJQpyxj6dPx/1MPwtCRJTrWrrtfLiySBL0o6I5IGzpaENeWyYXdt4rQhKvESd5SkXcOCjqxKIy0IFdacosuP3wcJVR5HNQmhIpaLl67VQZx4fmw6IXHKDyezdxRxIsP3XcoC7hEgva8yGRnGv0jS/cKSBEEqCpLuHX3mxIl7plQX8Z1o920TVqtG5qKKQUycqkCx4T6aIE6p9IjYvCney5dk7BZClkvoMYWV5IRkxMN97E594LII2FU3Fwvk5mFhekC87RP3huuJN/iNmonT8DVReKHDevfsSYoNV73KRhAqLFW3HuHy+8EQlx+uMeKOiK26SawNgtpHvWSlq1ejKDO0jSJOWMch6pAnrGUvDpJGXCZuOKxGxEfxssc1YFHP2yBxAnfCNli3jwrL02ajXgCqxryK/kycqkCx4T7qJk5RWJcvyaMSaaK3MgtZNrwYYjgTp9ng3sCoxDBhSaChT/S+0P7i/7g3tg0Vf61Zs+a8JEmwaqxraZryzxmLi4u4S9wKCKTSVSWRpPJoSXslI1zgswItrGPERQ7GUGGtgdwUA9L5HQvV1cMaidV6ZJLICvvHKOKE2+0wSYiN0rg23IEEduPm4zppWNHeKWnzAnZF4gTBI6Ac/NctUEn/GxnD/NuJZuLUiWna8CLrJE7xhf2mpLcn2YNlrJZKN5T0ckk7EoORZFlgbg0hYOLUENCzH4ag2idLOkfSsaGUTbLBRs0Wp5UnK81CEbB+4P7EDNPqMi0DhGo9qfqpdJtHSOmTpXMPyvT21rn8jjvmmMddeoUr4M7doE1gcSIZgaBwdOV4mcYdx/8J/iauCVKEWjuWKNbkc4I8LWdxwpVI/OYHwoVH5iOEcKjLeeVZbP4IE6fmMS89Ys3EiYfIJklGgMZqIWQJaSKAGdG53451og+qDAETp8qgbHtHBNkSD4db5g9R6JYMOxOnKWcurE8o81O9YM8kC37uUoPUnLmvdOzJWXIJhConVYh9/rCY5bd2aentExAnrEI3jWBxRHuPDksRZAkCTxgHUgNkyBEUTkYhVtLfFQAcdNXdLTKLkS+4OPTrvtolwE2cujRbca11Eac0+yJQXJe4JoL9lm1plrb6Okn4pxGaIx3VbQYImDjNAPSWD2mL02QTlGZBysTdvJdM4LJCv5ONXupopE0IeIe05A3L0LoM3TSzDOFCuzMutrVLS7ssQ5xKXci8nGzi1MGZOVIXpgAAIABJREFUroM4pZlPmvTS7ZLMJDuyhZDlMyW9IMzcFrKc8ToycZrxBLRweBOnySclzcobYdF7EJaTlZ6Fk48w+zPq2D9mf1fNXoGJU7N4VzJa1Qs/suDwib84yUyuy5GmeReyrGQOq+7ExKlqRLvfn4nT9HMY1RKQBEFO5cgOWZ9WvOmq948VB+zhASZOHZzUqhd+mmVHXJIsI0IWQYkEGSK+h77T0X16mHRwGWxwySZOXZ/B6q/fxKkcpvFCSRFyMhcfn0hUUOh8q3r/6DwgU9yAidMUoM36lCoXfpplRxDbtPkoPZNC5glquwRPblAnbdZ4ePx19QstgOmFsAECJk7VLIg0S8F/vaQ3IWGQZOVuOtuq3D86C0LJCzdxKgngLE6vauGnmfLrxyXdO8kk8DdoaaZoTbbJXiFkebyFLGcx4yuPaeK0MkbzdoSJU3UzHs9CgrDJIMP6RGhDJ1tV+0cnb76iizZxqgjIJrupYuGnmS4HpmfkAzYSS0ulh0o6Oapg751kdZbcWoqAiVNLJ2aGl2XiVD34aSZZgOAj2llLSVY2pFOtiv2jUzdcw8WaONUA6pRdosp6f2VZHaTEEpg4tJVd+JEVRwbdNxPpacVBQsiSAHHM089KMvO0W8sRMHFq+QTN4PJMnOoBPc2Kc/OMRCsJ69MP6hmpnl7L7h/1XFW3ejVxasd8bRdVotHiQDafVH8qR9dFnOgbi9I9i29MaaYCSyou9a+eYSHLdiyOca7CxGkclObrGBOneuc7zdSyIVD8HNuVMAYTp/LrwsSpPIZV9ACRuVQSqf7XjNpUlD2pnDil0oMlIXG/RRKCaSFkiWWJ8f8nycoPuHUIAROnDk1WQ5dq4lQ/0KmE+jXPTgowY31CUbvVzcSp/PSYOJXHsIoeUN/mi8cbzO1DuRaVV61du/aINE2PHBxkGuXXVNo06gntmkgfT6VVkg6WdFQIWR6aSH+p4obcR7MImDg1i3cXRjNxam6WUum/w1qPfMHL2mx9MnEqvy5MnMpjOE0PVJZ+T5xIkCGkicrQJ8RnZGygHfLHYZ1Ps/BT6YpRpPFDiXR4mpVJoS7dNTpan2ka3Ht7jolTb6d26hszcZoauqlOjPhQ4lOvH9anYgmUqfqs46Rp9o86rqPLfZo4tWP2Ho6LTNLOkm4k6fNRV2hotehpFn4qvZo6RVHI8vlhaXop1iYLWbZjEZS5ChOnMuj181wTp9nMaxQ9R8blWEmvSNaVi2tPm2b/aM/Vt+NKTJzaMQ9cBV8y6sURHI5r7sxRlzbpwk8lqlqfGHpMJ0VFagtZtmfuS1+JiVNpCHvXgYnT7KY0lTaJ2KdrU4A3kX41u6vZcORJ94+2XHebrsPEqU2zMea1TLLw06wi9lckfUrSf0k6ou0++DFh8GEFBEycvBwGETBxmv2aiEzlF0o6JpF4aZ15m2T/mPnFtvQCTJxaOjHLXda4Cz8qff84MvXOlmQhyw7O9ziXbOI0DkrzdYyJUzvmO5VuGtp8xJli6Z+p9Wnc/aMd6LXzKkyc2jkvy17VOAv/RtIxN5ae8y/pSg+QXvc6ab8Rnd5N0psl3aPw949IeoAu982jL/Wh0H46OgLKKdWC3lSxEWz+YUnv7CCsnb5kE6dOT18tF2/iVAusU3eaZjVBsfgfmWRVGWbSxtk/ZnJhHRrUxKlDk5Vf6koL/0DppK9L+50p/f1V0naHZGSGwPA/D9zuHlGLDgkCNJzydoGkO0iiqG/ebinpy8rq2/06YrCWlGk+8UZFdiBq4/uYODW/qEycmse87SOaOLVvhlLpFpHNTKmWvZIsm7rRttL+0ejFdHQwE6cOTtyohZ9Kt8F6tLN0H6ryPkbaKpHOlXRbZebhfxZuFxmCtxLvFLWXcuLEsV+ShIuPenbrKoJT007S7SQdFH3cRNI/gowdIumvku4n6aMmTs0vKhOn5jFv+4gmTu2doTQrdUWZrcOTzOLfWDNxKg+1iVN5DBvvYXDhh5DlsyIb7113k3a/rfTB0zMxzStLwr329hEXeusgOzlxug816ii5Eq66T0h6gaRtlAlmbiEJ6xOFgRcK7jy6h2SZODW+IiQTpxmA3vIhTZzaPUEhSPy2yHIm/vS3TVyxiVN5lE2cymPYeA/FhV8QsiTt9QlU7N5U2uJ8CcKD4Qk32mclUQ9vWDmAQeI0eD+8GW0Z1iXKtTwovugfiIDH4tuSiVPjqyEb0MRpRsC3eFgTpxZPTlxaFFw/UNJzJFG5YdQLbmU3Y+JUHkoTp/IYNt4DC39h9eqrRqmUZ24t/ewrmeyA3ib9ag/pB2kWc3RaXNy7wn323iEXO0iccLfhxoN40SBOVAEnrulmkg4ofI6Vii993kycxl8NV5D0+lAZxir4VEk/H3I6xxGI/8ZwrQ4dwcRpfOA7fCTr5IuF679VrAlc5Rs1E6fuzHQq/Uf2+NaFkvZNpN/XdfUmTuWRNXEqj2HjPQRx+mlRyDLNLEqnkx2XSA+Nki3UT6IIJVIEBG5DflAmP79w0YPE6SEhxrl1uObO4k1I0h+iODCfXxz19CBitjhNtwIQJWXOiB3j3/0p0zCkK4RRH4gCsYnTdED39Czc5e+XtL2ki0ycuj/LEXIBCaZ+6P5J9jyvvJk4lYfUxKk8ho32gCLt2qWlCxdWr35OIh3H4GlW6+5bkp6USB9UVpfu05K2CvJD/SRKurBBU3oFS9E1Jb0h3HC8uT4lYpToEtcesU6sD6QJHhU3yXhYnLCCnBfnFsvC4ApEtmBQpqBRjDo0GPNEdg3ZjeBNXFmxQaSwJHLc902cOjSz9V8q1mS+13zfhzZbnOqfhDpGSLMMaKxPJOg8LRlRs3TasU2cpkXu8vNMnMpj2HgPAzFOkBiUwT+XZG8qNCxNbMJYma6rLLNuUI6AgHH+hqsNK9Q3IyuOgHL+ho7TVYIgEddERp7lCKqf7Zcgihc/Hyt0TxFmNF8gT8zHeuK0tLSE6/Q7xUtJ0/TiVatW7buwsEDQvlu/EWD+cd3ee7nbNHHq7iII6xPJN7yoPjnJXmAraSZO5WE0cSqPYeM9DBCn4yXdH4tFIl0aF8PmidQApnzaMDkC3D/E1OQVvL8W7qKvB2G6RJklC1LGA/oxliMoNdUQ1/dED8Sf4XrLG3WtvqEsC/Lv8WHuouP/yEz8LeKgcJ1u1BzjVGpu2nwy1sjVcYFYjXl5eXEkemA9Xt/WrFlzXpIk6/XY0nRdbdkzFhcXH9bmG/S1jUYgzeJLsT59m5fhZGMtvonhM3GaGLKNTjBxKo9h4z3kCz+VHhFvnndPJEQr83ZOxCORZbeSHAHn0A8bNSriuI5oixHbxGbPAxu9J8sRVDfbTwqLH7heR9J3g+AWtbby0dDRsquuOuy73hMW5EePyJItEimslY9eXFxE+d+towikmasezSeUxwnH+GSZWzFxKoNedq6JU3kMG+8hgsOxTmCleGQifWbgIng7IQZpHDmCRwYp2knSDwf6uVoog/PGc3dJliOobravFaQXYsvvuOyID3tpvF3iijFxqg7vvvTEM5tEjRsMaKhtdH921fVlyrP7COvTqZK+ShxpIlHxYeJm4jQxZBudYOJUHsPGewjiBDF6Z5LFv1AbLs/I4k0Uv/hrx5AjICCcrC4sTnkqPKZhpA7IxKMhhomriNIAliNofLbHG9CuuvFwmqejTJz6N9updCVJz4+XYmQLJrY+mTiVXxcmTuUxbLyHIE6fSTIxymGNgO9tI0h8lBwBcQ8ogu8g6U+FTpAyICiZ4HBcc2gInSjpB5YjaHyqxx7QxGlsqObmQBOn/k51mnkAsD4R83hIsmFd0WVv3MSp/LowcSqPYaM9pNJd1i4tfXdh9eobJpnJfljDJ04BXsgRWXdrQ2yxKEeAmw/r0r8KHeys7A3mSEnERRBdipItBIuG649MD7LtKK0CQSvKEVgAs9HVcPlgJk4zAr7Fw5o4tXhyKrq0VFoTFSMo2YIEzYptBHHaN2Ja2TteFPvFYF9IppCQQJUKsvyQnSEhadTnZGuzf2wq6ZfhFUHYc9TnvKiTNPNfsS/tLYmkJbK/T44YXArVo3X1hbi4Y6JfkmdeGcXm+dOknyO5wz7Hfon3hRjUkSVwTJxWXGbtO8BvDO2bk1lfkYnTrGegfeObOLVvTuq4ojTLeoag8DKLvl+emTt0uCH7B6rlSKHcM16WKfJO7GuxRBekhhhYpG5IPiJrm5dsBJCHfU6MJi/SHHuCpP2i3ukTl/kcosS4j42XerLD7xIxuLgoCUGhhNinJN0rYm4JmsfzggGA+ycDlZCSST4nMQfNLAggWebPC7JHUtTQZuJUx0quuU8Tp5oB7mD3Jk4dnLSaL9nEqWaAW9R9msWlYmXBa7BXcrlFZqOrHLJ/QEiQS8nLZ9EPavRkWucN78Q7JG0eH2AVQjeQGnvDPifk43fR7x/DS4EFh9ARysow3uDnuB7pKy8NhlWJMZDfIK4rl2IhfAQxZgrP4/E4Kq4JsoSwMyRqks+5T0JTcqV2PDVUcni4iVOLFnnZSzFxKotg/843cerfnJa9IxOnsgh27/w0s5pAPijCvphI/xi8iyH7B0SJDD3CO2gkDN1hoA4pRIlEIUpy0RDoxcrFZ8M+v4ekv0aiUX4JuOmohIDbDqJX/JzxUMGnL7TKaFicGIMQEzK8qZuKdYx6jQdF/5ClHcNliPuQpCmykyf5fJ/CtRCGcqakk5ar1GCLU/e+GzJx6uCk1XzJJk41A9zB7k2cOjhpFVxympEM4lohOXsmmYjx+jZk/yBOitghzqFRdQLR5LwSBZ9BTiAryNbQ0Pyj5A+usWGfU9OUPrmWvBGTi0ArtVIHP2c8XG30lV8vGoKMgaWJ2Cr6RIoB3sLfyCYnLmn3yPpGlgeZDgqmT/o514i1CrKG6w4CN7KZOFWwUJvuwsSpacTbP56JU/vnqOkrNHFqGvGZjoeQLvFAxCIRtP29NHNlocH3LknPTbKyWcNevHHVoQsIaaFhgSLTel0t1Gi5gvkW8X8sUIxDshBjDH6OmwtXHf1CoLDk4KLDVYfLbtjnXCd95RUvcNUxBuLOxG3RDw2LFNcKwSFQPRd/xmLGMQSJT/I551G94YwgTrnlzcRppku64sFNnCoGtAfdmTj1YBIrvgUTp4oBbW93CBNTmoesZwgJJZ2253JT6RpBgAig3j2Rzh6yf9wurD0EmVM5AmKySxAT/vaziBn6UWRbo/F3SrjMcGkN+/xVEThODVRIHarnkC2CywkoH/Y5mWxoCj4uSCCuO+7n2ZJuGP8Si0TgOTFSBIhTcgyCSKYelirGuP6EnxMYDklD+7AoPGzi1OCax7dK7ThMkZgZBycCfy06SfieMUEW2S0ZA8gEbCXpV6Ou2cSpwdmsZiiCLskWwcKLOZzgxmGNosxoZuX1xnj4sF5ItaWhuUXQ5kbNxKmaiWqwF54LuDtovIUzr8SFFBsVAKgZSePhjkQIGxlZSgTAojrPhkmQ7UbNxKnB2axuqI0sRwNdY9nhGJ4JFPrG4pMXZf+/iB2CbLBO1pdvSrPnCPvRKWuXlg5bvXr1oLeJOB8CvVlTrK+Xx7hI0rAv/SZqluZyBJ+PUlwQLQjXsM+x4kCSEFDG+sT6xTo06nOkACBCkB9kDrCE4X7DhUbcFvdELBbZbpQdouFmpI4q18m+SoD5pJ/zbCYmDPzyhktwHfkc1uyqq27B0xOLE/8qC+TqYWZkYosNpo3vmYXIoiB6n4A2FuxpkYZJPyZO1c7NrHq7cbzNkeoLmWYzxJ8/2NA6gTQRPMkDgkZaMNkpRYHSofdh4jSr6S09LpsFzwHiSSiwnTcsBbxY8VZdbJ8IHRvWERlUBNrmKv8bHGjiVHpumu5gpOWocCFYRrAsIRWAJAD6RhAMyAlrhR/0nG6J22rt2rVHpGmKLt8GbQhxavpeOz2eiVO10wdJgiljMYAlEzgHUSo2BMZg6WQVsDFCovD9smni283FJ02cqp2bWfaWzzkPN4IaBy0LrAU+h3Tz0IM4cQ5r4HNhpsZCwRujidMsZ7L6sdn0INKDwai4H14XYnzEraAtg4WBjCJiMSDiECY+L4rQrr9CE6fqJ6vmHrEcQYiw0tCwMhK3lFuO0DLiJTt/sUITid+pdfnAWBO45Eirp3B4XrB9g8u2x6L8LJo4lcew2AMPupuHWwZzKXoUWBAGG28FuGEwsfPWuJskLBO47TCBYrFaR5yGvTEkSfLphYWFkWbEam/JvVWEAA85SDEPxcE3wNeHKBxE+vvxMOTBR1owRX8hUZ+NN81vLy0tEajJJrq+pWl6fpqmOx122GHfq+h63U39CLARMl/3C1dGcURKakCO8ngOyBKWaFSNifPA8sBaQoRwHaFes2bNeUmS5G7edX0lSfLMhYWF3O1S/x15hDII4KbCyvi+6AR3FHOdB0WjoM3fWRs0XFT8nZgk5vinka7/6/wY7x9lpmP0uSZO5XHlDZAIfmKTWLAUw8VHTCPqn5pxQ2MQwj+LrxqfLj5afraMhymWqKHxLOUv2T3UjADzTzwSjYccVkgaBAiNkMPDksRnqNxiZWLd8H0kXoA0WwIl2VjzkjgQKFR4Ccp06x4CxCJhgaYRo8Fmh9DenvGiNHhHrAXceLnVgOcLgbXEXhD8SiOAl+dLLlzYPVR8xcX9A1JMoHX+Hed3XrzzNcDzgD0FzSMaLjuslXyOXADhH6yNW8QxG2k4Ge5qEDBxqgbHvBdSMHkoYkUiyh/rEQs/N6VjcueNgbgVgtxQQ2VTJf0zbxtYnKq9PPc2AwSwDj03rIoMT7kA5j2vtVS8JIhVbnGCQOfaJXxPWReULdjA0jSD+/GQ1SGAleBbI+qCEfNEUO6hYY3G4shagnCRoQSJRvEY1w5ZVG7dRwDyg7eBlyaEHt8QLrjinfHcgIST6YalEasjlklINqEixMryDCHxoBjs3H10WnQHJk7VTwYPM2TpCQ7HJYOFAWsBwZyY3Um1JK4BVdWL4yGYZ01xNSZO1c/JrHuEGJMpCXHGusT/ySwhfom02rwViROfQbgwxUO8Md97g5z1TFY7PoHeWB+xIuWN3xH0w1XP84L4t/xZgnUCC+ZLItsOQUGKsxYLdVd7he6taQRw1xG3RIwsWkXEyBb3D16oKEHCnEOQINisD4LEOYcEFNYNittuNSFg4lQTsO7WCBgBI2AEjIAR6B8CJk79m1PfkREwAkbACBgBI1ATAiZONQHrbo2AETACDSJASQue5w4IbhB0DzWfCJg4zee8+66NgBHoDwJImRA0TDYmcXFuRsAI1IiAiVON4FbY9eMlfayg51Fh1+6qowjkitJFtemO3oovuwIEyNZED4osXtLa3YyAEagJAROnmoCtsNutQ2EcZVhSkt2MANl5yFlQ9w61Ybf5QuA+kp4Q6tDIm5CWjsI0EgVUHyBz180IUPsSra/fRg04sjDdKkDAxKkCEGvoAg0oCgWTgk6qKbIFiNyhNu42Pwig5cLcUyATfRY2ROoZkoqMyjh1yhBFdJsfBEhFp1o8cgXIV9wkrNFUlUd4ldqXlN2g/p3b/CJApQL2C0j1o6LeJeK61naqYE2YOFUAYoVd8CBE/Iw3BTZELAqLoeWBvhP6T279R4ACrzzgIM6QJjZEapeh40SJDUotvDDWCaKIbvOBwKOjjBOimMeF6CFECr2foyS9IpSnzw9RxFyxfj7Q8V0WEcCFz8vVC0JglVI8rB8L6FawTkycKgCxoi4wvz82HoJYm9gcF6ICNg9ACsTirnPrNwLUNyRDinIcvDE+JQQwsSJgXXhTbI5vC6VgSFZeBLTfyPju3hHWJBTFKc9Ew21LsV+sk4iqoi6fW55QnnebDwRQCqciBQKqiOzyon2ruHUKyP8wiBOWKLeSCJg4lQSwotOpdYfpHbfcTpJQFKZR/JcCsDwk/y7phhWN527aiwDlFCjqSSkO1ICpY8jDkFg3GsrRH4iSPqwXVOpRpXfrFwIoQLPJUU4DFWg2w/dEDURc+UW1cNSjUZfm5YuadqwdXLz37RckvpsRCFBqBW8Ervt3hfWR0l8UnX9RWCc/KukXdu1Xs4ZMnKrBcZpebiDpwRG4R1kWCoCyyNk4sSbkjQcnLptbRkFYisG69QMB0sifE9lQ1BzD3fLjSCvfIqwLBHdiQcB1S3wTjY3z3VGOhSBhLBFu/UCAZzLPgKV4UcLaTBFXsigpv0N9O9z5WB7z9qzYHAkQPy8Kv/IiZktkP9bEcneBd4KkIbIpeZ6wRgj5gEi/TNI+cTJuOzwa3j8qWBMmThWAOEUXWA8+EtWsbx9vCTwMeejxsNusUBGb7jHBfjhcdc6smwLwFp7CvFOrjobFiBgm3hqpM4XV8QxJh8RGSbbUdSLIk9gnqqZjbeL3I5xZ18LZne6SiEOBEFHXEGvj88Ld8rWIdSSGiWfEdWMTxDINocICCVHC4uTWbwRySyTPD8gRXgieDzT2c/YPiDZ/I4kAQgWRslW6wnVh4lQhmBN0hYUJ5s+bJebUvSRtK+nmYY4ng46HJI3CjRR+5BgerD+dYBwf2l4E2OyIS2Dj+6Ok68e/+RVDnHC18IAkABxXDd9XCkcT8IkpnmDxPSMOrr136isbF4FbSPpBBPDmJIhnBJlRWBKIWyEzCrfL9cJ9z0bKxvnIIE/jjuXjuocAca7o+UGEsDoT6I12F+58PBMEhCOESjHoj0siicCtBgRMnGoANawDBOThWjld0rUkbRexB2S88KD7W2yExLNw7K0jGBghu+9JekZcGm+XuGIgT3xp3PqBAJoqBII/ecTt3DHeEt8g6anh1r1qrCdOwSLx3TDH9wMR3wUIPD9ctlgLIM64V3Df8v1HGZx1g0sGQsW/uGB4xjiDrv/r583hjWBd4KpHgmLvINZYJ3eUBJG+QmTckpHrVgMCJk41gFowjWIyJRsK9xrEiIBNzPBYCSiNkLtZEK3jDZKsOc4pBn7Wc4XuddYI4G4j4J/g7ryRIYdVgSBg5AaIUSBA+LZWjZ/1dDU2Phsf7rhNI1sOywE6PMQvIXrKmnhJPEsauygPNBMEBuNgWQfEQh4WmbcQZ/YV3HFk4bLXYHXCQumahTVOmYlTfeA+JOKY2CBZyB8KUTriFdDT4E0RNwymedJGiWv5cn2X455bhsCxERheDO4mjgkLJEkCh0si25KN9MKWXbsvpzoEsA6QNXtZoUsSAU4tvFjxnN45XrbInCKL7mfVXYJ7aiECw+Jgd4+5J+Cb5BG0vAjrYH/B8uTWEAImTvUCTUA3gd3EsaC1gvuNrBgeggR2Yk3AX00KqTfHeudilr3jYtt1IBOKoE5iFCBGaDWdGxsjmybxLawXt34jQMwKbjYyJ78/cKuUUuG5gcuWwG+3+UCAl2lqDRKWMSwOlucDSSS4+SFXuHKxUNrC1OD6MHGaHmwCtX8fP/SC1YhMBogS8gG8HdwhNkd0WHgjgCSxQVI+A9O704Wnx79LZyI1gdQArrh/Fy58y1gruGVoFwWJwtrg1n8EIE4ke0CciFkpNiwKkGd03BC1dOs3AsTB4oo7JQK9mfdhcbC48UkcwkqJVZr4N7eGETBxmhxwVJ3ZADGZYz2iJEqe4UDwJjEqCBZiQeItgHgETOtkw+B/3j7eIl/rgM7JwW/5Gc8MzSUuk9glJANwvxK0SSYU2XEE/hcbJBotFv4lI4Y4Frd+IoA1gfhGMuCwOmNZIICX5BCI9WB7fFimybp06y8CuOSxOGKZJrYRxXf2lVFxsP1FoiN3ZuI0/kRR7uKY8C0T4E2WHNYDslywGBDDRNwKBImsB7ClbAqbIXL3mFM5x61fCCAX8dfIYsH9inUA8kPgP4GbxDBRcJXNryhi2S8UfDfLIVC0JiAjQQwbMU1Yp3mmoMeF1cltfhBgf0BKALLE8wFZGrT8eMkiIYDniuNgW7oeTJxWnhgsTBTRxCwKSaJ+HDFJfM4bI8HfPACxKOSxTBRi5c2SLwSBfHwZkLsfjGNYeXQf0WYEsCSi2kxWC5sjbhfWBVIBKILjcqNgM5YofnDZQqjc5geBYdYE4tvIpMUChTQJFmvWkNt8IEC2HDpuxCiRHPD0cNWyl0CW2C9oWKwdB9vCNWHitPykoKGEew1hOkQHcbvhfsslA/J6QJjUIVMU30T1G1ceCtD7RhBfC6felzQlAhRV5c3wK0GSEC7F2siaIBmAuBWsTrxB8lDECokCOPEKkGuCOd36j8DNImYNaxJaXEVrQr4p8jnPDizXWBgu6T8svsNwzfJChcWJwsz5CzUv5ZTa4UWcyhJuLUXAxGnliSEYj6A9lFl5IyDQF/E5YljYDCFWqD4TLM7GSQwTWTCotrqG2Mr4du0IyDTrgCD/HUKcklpyxC+hsUKMG5YEEgOQFqBhfSSmDfFTsqTc+osAL0+8RBG3BhHCKkkG1KA1IUfgxVEag2BwivO69Q8BZEbYF3hm8IxA5JgXLdTgaYR27B9iuIjaQqQe3j8Y+nNHJk4rzyUWBAJ6efAhUolLBusTgeEIVbL4SR1G8ZfAPh6cBIZbyXdlbLt6BA+5V0UMG+UNWBuURMkJNskBkGbcs7jmsCjklicemGTEuPUTARJEKJ30OElro1QSLhnECYdZEwgSJwuX50heu7CfyPT/rtgf2C++UbjVXN2dz7E+EgOLlZH9ghcvym+xb1AdABcuL1w8N2x9bPF6MXEab3II4EStleBfZAYGpeyJZflTLP7xevRRXUYAFxyxKbhkkZUgfolNkppRxLdRHoPPIFUo+hLnQro5lsnbdfnGfe0qumrR4aIxvyQEQIgpporVAIHK3WJTxNKANWnQmnBLSd+MvyGYa3mSbi8wngmQJ7wPNAgxawNNJn4I+kZiAnc9Qsi8ZEOWIdVk0SFn49YBBEycNp4kMMHVQiZc3tgg+T/xTWyUg28DbKR0p9pTAAAQhElEQVS2MHVgwZe4REznxCqxOUKeCeblbRFCTewbmyLr4u6RMcWbI2uG48nCxPJEkoF1V0pMQgtOhfwyhxAeYlHeFpUA2DRxx7D5kRBC/BLzjboz83+PEdYExE5x9/v50YLJLXkJEGUSQLAm4ZVA3JR6cnnSEC9TvFSRbc1LFW5c1hOuXV643DqCgInTxhPFwscdx4IvNuJUkLbnzQCTu9v8IICeCoGbbwohUwgTbjliV7AyQZIwwfN/gj5x27n1F4G8AgCZURBjXPWQZ/R3IE64anDXE+BLEWeypiBSbv1HAAsSJJlYRqoCYJVkTyE5wALIPZn/eSVOxJkQ3J2XtUCjCRVwYlEQo8O9gk+62MCKtwTSzQkUd5xKT74EI24DJXj0mdBfwjW7JuQlcNfylghBQn4AfS5ctaQN51amfiPju2MDxPWG9ZnnCO451JyJfUMNnmcD1eo5jqQA3DRu84EApAk3HLFuWKYJ/sdSjdURQk1cE88JCyB3eD3MG3HC5UaAHiZT6oM9OBYxJlXeGhEoxP+MZQHfNBtnsSFL8FvHInR4xY936RAjAjSxMFIXipgFPjstLE7oNLE2MMHzd8iVLQrjYduFo1Bxh/yQ/JE3XqaQFyFTkucHAd/ErOCCPTrWB0kCuPDYHN36jwDilciR8DJVbJRLwV27TVicWBdYnrwuerIm5ok44UbBWsQDMK8+joWJB98Fkl4Tb47PDssCsQdkR7nNDwJkQqHJRCzbK4NckybOQw/dJlTgsSSwLsiWwQXDm6VbfxCAIDO/PA+wFtAI/EeCBMsipZZeFp/zwkVgL26ZXweJJjsOtwxSJW79RgCxSp4NuGOLjWcD8Y384MLHnc+L2A/6Dcf83F3fiROxSgdG3AGWJN4WMbHzECRT7u9RnBdFcIgSWRBsmpTKQNzSVoT+fRewJhC0S8waGTCfDc0tUsipK5cHdrKBorlC4C4PvjPCQol1CSkC1k/RItE/pObrjtDaoRA3MiPEtGFNwlJAwD/WRWIbsVZDlLA8E+dIthxJAZBnXLVu/UeA5A/2j5OCYPMs4Jkx2Kgc8OiIhRzMwu4/Sj2/w74TJ8yobIz5ZsgDDgsCJAnBQv7GmyXuFhpqv5An3hJ4q8Q37dYfBDCtY1bHxcY8Q6J4uGFxJAaB4F7ct1gQEDElM4ZNFK0d3i5x1SBOx7lu/UAAeQHmFSJMQ80ZqxLWAYQK+RvWRp4JNF68cPlTa451QtIAG6NfsvqxHpa7C2JjqTOI5hLPErKp0WAaRpz4G2vEsbA9XBd9J05MGeZ1Usl5yN0tLAcQIogRbw2YWUkjZpGj+swXgocjgb879XDO5/mWUHPH7UKxZWLaaLjniF16q6QjQ+wUdx0WSt4mIU2kCu81z8D19N4fGOnhvEQR3E2s0kVxr6wT3PYQJqxKBP3yN6QIeKZAuB7ZU1zm+bYI3EYmAE8FFmXWBu55JGqwVJM1R/UA1gb1S2m8VLFecN2aKM3B6pkH4kR2VG4lIMsBlwsS93wRIEu8WaLYSkFezPAEhRPgycNyUJJgDpZEr2+RuedBuOnAXX4wNHnIriRuiTdI3Le/iYBOUsvd+ocA64GXI77neb1BXPQkh5ARh6uOHyzXbJRkVuK2I66FOMn/7R8kc3tHPPchSBAmMmWRG0GslnXBixUEmtAPXsDzxBCy51gTu0RBXvYX9hG3niPQV+LE2yFiZKQJkxnFmyRfCrIc2BD5HNM6Jlc2Ulw3fDkI6CTGgewHRMoczNevLwB6KrjmcMmi9J43ivLiss1ThiFPxDhhhWC9uPUTAbIliVPCoshcY4WGVCNsiRYXmVFkSPEsoUAzblzcuiQJuPUDASyHxLbhgiOom+Lc7Au8VLMnkFBEsD8xb0hN4NJlL8GLwQvXbaMGJcc5IaAfa2LFu+gjccJagJrzz+PtgIcgbhlIEBYE3hwQqSOYk0WfF2LNwcKPTbadTa4rLp/OHcCbISq9BPYS7MvDjrdGSBLB4bwtYoXIs6k6d4O+4IkRgCzhgqFR0BvLEs8OGpsqGXYXhzt/4s59QusR4KWaZ0HulkfBHX0ukoTwSpAQQFwkL9ro9/HiRZwsRZzZW7AycazbHCHQF+LEBkj2C6KVxCZhLSK4l4ceKaGbhTmV8gi8RfKARNXVLpj+LnZcLbwpkhBAHbF8IyRGAQ0eCDZB3myUvHHyOS5dMuve2F9YfGcDCBCvwjOCNYIbhpemYsMCxQuXi672c+lgZeLFCfccxXd5XhC7hAWKltegxIvBSxfxkViueTm3hamfa2LFu+oDcSILBo0m2D9aKgR686DDRYdQITpNbI6URECt9c02ta+4Lrp+AFmTBHdjScA9i1Upb5tEECfH0AgAJZuO9GFvjl2f+emuHzFc1gDClrjq3eYXAV6gsCgRJE4MW55Qwu94LXa0APL8Lo78zrtMnKgsTtow+isEcLKoCeIkxRwCRZwKcQno7mBKJY7pe57y3iNAkCfWxqtH4O+gqi8AsO4hTjcIUoUavNv8IoBLjnIYJJKwYVJ+ya3fCBCSMUyHLS+ZQpYt4RxYromBJHQDS7Tdcv1eF2PdXduJEw803G5Yk1i4mEqp+0TmAyZUKtQTj5AH9+4afyeglwchWhqnhI+aTBi3fiIAASJwFwJEAd7VYWpHqA73rJsRWAkBFL/JsEOXh7gWt34iwJ7yfkkfjoSQYXdJQgBufl6uitbqfiLiu5oYgTYTp2vGAifDDe0UfNGkgxLMhwsOCxOBvOjwQJDwURPrRKYMWTBsmnxBbHqfeFm0+gSkI4oWAeKVqEKPe5ZgTsg1Dz3Wwz8jvm0wbqXVN+iLMwJGoDQCECQy44Y1yp+QEYdXYlhjr0GrC70/XsDdjMAGCLSZOCFOiakUaxPZTgTwEczLmyF6S/wQ4Es5DNKJccsR30Ssygme514iwHpFbI5YFB5omNqxMBF/AFEmlRihSly2ZMmRBIB1klRzNyNgBOYHASQFeJni5ZlMODwUVIjAdf/ucNOzh7gZgYkRaDNxIjaJRU6mQ97Q3yFrjgA+BMqIWaL8AZlQECsyHb7oGmITr4OunMBcM//UGMR1ixI8a4HsFtYy0hInRq1B0ospmcEaeUZXbtDXaQSMwNQI8FJ9o3hhQmvrppFZfVxUiaDOHAKnCN3ygs2xbkZgYgTaTJwob0AJlIcN3NUHwrKE2w5BMlxxvFk8LWpGTQyCT+gMAgR8kzqONQmrIllzeT05sidx4/KGSfFeymmMCgDtzA37Qo2AERgbAV60sULjpUD9HY8FL078H+kZQjzQXcK1TzwbBMqSNGPD6wNzBNpMnHDLoc5KADgxTsQuYTnAvIpeE9YlLAoo/7r1CwFIT15LjjVKTTDmnbgDLIuQJWQF0N3J3XfENxH3RmYUD0WskG5GwAj0FwHiHcmCwwrNHsELE1YnqkHgsSDWkf2DTElermlYmhDAJQbqP2MP6S9CvrNaEGgLceI6IEYE9OYN+QA2P8qjsHGSFop6KwJkZNIR8IviK/5qt/4gQPwSas64ZXn4QaAJAMc9h6sOVd//CBcdInWowPO3PHWY4HC/RfZnPfhOjMAwBLAw5+r//D3X6iOecX9JuOXYI9g/EKxE5DZveDGoQYfF2vGwXl8TI9AG4oQFgQ2QTDhUfIulTnC/8UUgO4KyBxz7jvgSkDHl1g8EeHNEj+snkQIMYUbhnYYwIVakPaMUCiZ43iSRGaDQKuuCv5Fh6WYEjED/EYDwIGhMchCJQ7xYE/zNixZ7BLp+Z4dECeWTnhWit8S/Hhv7DLUqOR/rtZsRmAiBWRMnVJ0pnkhwL5sgX4LBGnHEMaECDXlCe+MrE92hD247ArjliEvCasTvmNwRNoU88dDDyoTpHRJNzBuECgsUJAtr0zkR5+bagm2faV+fEagGAVzy3w2Nv2E9IjPACzcJRGTdov1HiS2sTuj5QaCIk+R5g5vPzQhMhMAsiBNjovpNCjkNUyoxS4gY/nWiq/fBXUYAhXeshhRdhgxTXJM1QYwCb4jICrAmNo/MGNYMx1Jeh5pyFNyEbLkZASMwXwggcAwhomh33kgEyYPAvy7pm6Hrx0vXoHeCbFzCPfIalvOFnu+2NAJ1E6dBsUIsTPibcb0QrIclCfccliSCvdeUviN30HYEeMCdFm98BHxjbUTQkmxJ4tdoR0V5A8RPsTidHjEJ1JAinZiEgJx4t/1+fX1GwAhUiwBeivuH7EheLumq8SKFFZoXLwK/0fg70i9Y1YLv3rKMpLoaqZ6fDcsA9X1wpfwsNk10NTCfkhl12wjwplgvmVGuG1bXjLSnX0zmBPrz1shbImQazZUnRDYdawULE4GbFNnEZUd2DEHjPDTdjIARmF8EeGbwss3PzhEEjqWaTFwCw4mLdDMCtSFQJ3HaKlww+KPxI+N6wbLwvKg+jXvu8IhnwU2Dy44sCUiVW/8RyOMQyIIjtg09LlxzBHfy/01DXoBsSzcjYASMQBGB10SNUmKWyMaGTKHZRNWASwyVEagTgTqJE3ICBOHhmkHyHlcM4oW3i0BfFj4LnrcGagLhd4Y8uc0PAhBlMiopl/OQWCcEikOqsUbxQwFniLWbETACRiBHgL3ryVFqiXhJsmrJmMO74WYEakWgCuJEjBKlLvKGSwVyhIrrrpJeGb9jUiWYDwvDpyNGhayH+5ow1TrHbe8c4gSBolEmhXpSNKt+t33mfH1GwAgYgTlEoCxxwq1GphP+ZcphYEWi2CrtjZE6/tzQynhwpI4T1MebAsHhxK6QIeU23wjgpkMVnpg4UoTdjIARMAJGwAi0EoFpiNNVCj5kiBNiZAR5YzXAorR9uF8ozgtJQogMzQ1iV2gEgBPr5GYEcgRYhwSGIzVgiQGvCyNgBIyAEWgtApMSJwLwcKewwRGXRCYcVajZ9CBExCxRcfrAEByj9AVihaSRUyPoLVFgsbWA+MKMgBEwAkbACBgBIzAKgUmJEzpLq6Mzficr7oII4sVFRxA4iq0EhlNzjGMJ2FvwFBgBI2AEjIARMAJGoOsIrEScSA8/RtKXJL053HCfkvSeEK9EXAy9Jlx0N46UckQtqQEEWYJEESSOq87NCBgBI2AEjIARMAKdRmAl4kThVYgSlaaxJkGC8uKIKDpDnD4ZKq3EM6GfgbwAAobUFsOl52YEjIARMAJGwAgYgV4gsBJx4iaxOqHIisI3EvYIWHLejlEaA+sSDdcdZVPcjIARMAJGwAgYASPQSwTGIU7cOOUwPheZcQhZkjF3vbAwHR1kCimCp/YSJd+UETACRsAIGAEjYATCcjQuEJTAgDzdXNKqsD7hpqNtGRpN4/bl44yAETACRsAIGAEj0DkExrU45Td2hyBP6DatLWTYde7GfcFGwAgYASNgBIyAEZgUgUmJE/1vLukpEd/020kH9PFGwAgYASNgBIyAEegqAtMQp67eq6/bCBgBI2AEjIARMAKlEDBxKgWfTzYCRsAIGAEjYATmCQETp3mabd+rETACRsAIGAEjUAoBE6dS8PlkI2AEjIARMAJGYJ4QMHGap9n2vRoBI2AEjIARMAKlEDBxKgWfTzYCRsAIGAEjYATmCQETp3mabd+rETACRsAIGAEjUAoBE6dS8PlkI2AEjIARMAJGYJ4Q+H8KkTYQwGSRnAAAAABJRU5ErkJggg=="
     },
     "metadata": {
      "jupyter-vega": "#ab6eaea0-9302-4b1e-aac2-23b2cee083a3"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "results2_less = method.next_iteration(preference=pref.nimbus_clf(method), num_scalars=2)\n",
    "\n",
    "parplot(results2_less.objective_vars, problem)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also choose a subset of scalarization functions from NIM, ACH, GUESS, STOM. These are the NIMBUS scalarization function and the NIMBUS version of the achievement, guess and satisficing trade-off functions respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"00d8f3c7-1ee6-4964-9649-cf09be368298\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed .error p {\n",
       "    color: firebrick;\n",
       "    font-size: 14px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#00d8f3c7-1ee6-4964-9649-cf09be368298"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"$schema\": \"https://vega.github.io/schema/vega/v3.json\", \"width\": 400, \"height\": 200, \"padding\": 5, \"config\": {\"axisY\": {\"titleX\": -5, \"titleY\": 205, \"titleAngle\": -30, \"titleAlign\": \"right\", \"titleBaseline\": \"top\"}}, \"data\": [{\"name\": \"main\", \"values\": [{\"Water Quality Fishery\": -6.236054053007312, \"Water Quality City\": -2.873090044851238, \"Fishery ROI\": -4.254248727559314, \"City Tax Increase\": 9.92656348264287e-06}, {\"Water Quality Fishery\": -4.0749197006290485, \"Water Quality City\": -3.271770093544993, \"Fishery ROI\": -7.558621046272737, \"City Tax Increase\": 4.524409583692774}, {\"Water Quality Fishery\": -6.073786838812284, \"Water Quality City\": -2.8495033498805413, \"Fishery ROI\": -5.92554131214083, \"City Tax Increase\": -0.07926605504585615}]}, {\"name\": \"fields\", \"values\": [\"Water Quality Fishery\", \"Water Quality City\", \"Fishery ROI\", \"City Tax Increase\"]}], \"scales\": [{\"name\": \"ord\", \"type\": \"point\", \"range\": \"width\", \"domain\": {\"data\": \"fields\", \"field\": \"data\"}}, {\"name\": \"Water Quality Fishery\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-6.34, -4.07]}, {\"name\": \"Water Quality City\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-3.45, -2.82]}, {\"name\": \"Fishery ROI\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-7.56, -0.32]}, {\"name\": \"City Tax Increase\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-0.08, 9.71]}], \"axes\": [{\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Water Quality Fishery\", \"title\": \"Water Quality Fishery\", \"offset\": {\"scale\": \"ord\", \"value\": \"Water Quality Fishery\", \"mult\": -1}, \"values\": [-6.34, -6.0, -5.5, -5.0, -4.5, -4.07], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Water Quality City\", \"title\": \"Water Quality City\", \"offset\": {\"scale\": \"ord\", \"value\": \"Water Quality City\", \"mult\": -1}, \"values\": [-3.45, -3.4, -3.3, -3.2, -3.1, -3.0, -2.9, -2.82], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Fishery ROI\", \"title\": \"Fishery ROI\", \"offset\": {\"scale\": \"ord\", \"value\": \"Fishery ROI\", \"mult\": -1}, \"values\": [-7.56, -7.0, -6.0, -5.0, -4.0, -3.0, -2.0, -1.0, -0.32], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"City Tax Increase\", \"title\": \"City Tax Increase\", \"offset\": {\"scale\": \"ord\", \"value\": \"City Tax Increase\", \"mult\": -1}, \"values\": [-0.08, 0.0, 2.0, 4.0, 6.0, 8.0, 9.71], \"format\": \".5\"}], \"marks\": [{\"type\": \"group\", \"clip\": {\"path\": \"M -40 -20 H 500 V 220 H -40 Z\"}, \"from\": {\"data\": \"main\"}, \"marks\": [{\"type\": \"line\", \"from\": {\"data\": \"fields\"}, \"encode\": {\"enter\": {\"x\": {\"scale\": \"ord\", \"field\": \"data\"}, \"y\": {\"scale\": {\"datum\": \"data\"}, \"field\": {\"parent\": {\"datum\": \"data\"}}}, \"stroke\": {\"value\": \"red\"}, \"strokeWidth\": {\"value\": 1.01}, \"strokeOpacity\": {\"value\": 1}}}}, {\"type\": \"text\", \"from\": {\"data\": \"fields\"}, \"encode\": {\"enter\": {\"x\": {\"scale\": \"ord\", \"field\": \"data\", \"offset\": 4}, \"y\": {\"scale\": {\"datum\": \"data\"}, \"field\": {\"parent\": {\"datum\": \"data\"}}}, \"text\": {\"signal\": \"format(parent[datum.data], \\\".5\\\")\"}}}}]}]};\n",
       "var opt = {};\n",
       "var selector = \"#00d8f3c7-1ee6-4964-9649-cf09be368298\";\n",
       "var type = \"vega\";\n",
       "\n",
       "var output_area = this;\n",
       "\n",
       "require(['nbextensions/jupyter-vega/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#00d8f3c7-1ee6-4964-9649-cf09be368298"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#00d8f3c7-1ee6-4964-9649-cf09be368298"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "results2_spec = method.next_iteration(preference=pref.nimbus_clf(method), scalars=['NIM', 'GUESS', 'STOM'])\n",
    "\n",
    "parplot(results2_spec.objective_vars, problem)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating intermediate solutions\n",
    "\n",
    "If none of these solutions exactly satisfy us, we can generate and view solutions between two solutions we've generated so far. Here we generate 4 solutions between the solutions generated by the NIMBUS and GUESS scalarisation functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"f466153c-857d-4ece-bfa1-f7e3c030ea88\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed .error p {\n",
       "    color: firebrick;\n",
       "    font-size: 14px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#f466153c-857d-4ece-bfa1-f7e3c030ea88"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"$schema\": \"https://vega.github.io/schema/vega/v3.json\", \"width\": 400, \"height\": 200, \"padding\": 5, \"config\": {\"axisY\": {\"titleX\": -5, \"titleY\": 205, \"titleAngle\": -30, \"titleAlign\": \"right\", \"titleBaseline\": \"top\"}}, \"data\": [{\"name\": \"main\", \"values\": [{\"Water Quality Fishery\": -6.125187534990816, \"Water Quality City\": -2.9745644170734944, \"Fishery ROI\": -5.583357443018679, \"City Tax Increase\": 0.5670876233985054}, {\"Water Quality Fishery\": -6.065132631076521, \"Water Quality City\": -3.0671833220680713, \"Fishery ROI\": -5.973862949012165, \"City Tax Increase\": 1.271774424746778}, {\"Water Quality Fishery\": -5.872323095539854, \"Water Quality City\": -3.1495694603037814, \"Fishery ROI\": -6.665191213543517, \"City Tax Increase\": 2.1354728088280917}, {\"Water Quality Fishery\": -5.4572192913518665, \"Water Quality City\": -3.2200004454617126, \"Fishery ROI\": -7.219133815548966, \"City Tax Increase\": 3.18494771316814}]}, {\"name\": \"fields\", \"values\": [\"Water Quality Fishery\", \"Water Quality City\", \"Fishery ROI\", \"City Tax Increase\"]}], \"scales\": [{\"name\": \"ord\", \"type\": \"point\", \"range\": \"width\", \"domain\": {\"data\": \"fields\", \"field\": \"data\"}}, {\"name\": \"Water Quality Fishery\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-6.34, -4.07]}, {\"name\": \"Water Quality City\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-3.45, -2.82]}, {\"name\": \"Fishery ROI\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-7.56, -0.32]}, {\"name\": \"City Tax Increase\", \"type\": \"linear\", \"range\": \"height\", \"zero\": false, \"domain\": [-0.08, 9.71]}], \"axes\": [{\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Water Quality Fishery\", \"title\": \"Water Quality Fishery\", \"offset\": {\"scale\": \"ord\", \"value\": \"Water Quality Fishery\", \"mult\": -1}, \"values\": [-6.34, -6.0, -5.5, -5.0, -4.5, -4.07], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Water Quality City\", \"title\": \"Water Quality City\", \"offset\": {\"scale\": \"ord\", \"value\": \"Water Quality City\", \"mult\": -1}, \"values\": [-3.45, -3.4, -3.3, -3.2, -3.1, -3.0, -2.9, -2.82], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"Fishery ROI\", \"title\": \"Fishery ROI\", \"offset\": {\"scale\": \"ord\", \"value\": \"Fishery ROI\", \"mult\": -1}, \"values\": [-7.56, -7.0, -6.0, -5.0, -4.0, -3.0, -2.0, -1.0, -0.32], \"format\": \".5\"}, {\"orient\": \"left\", \"zindex\": 1, \"scale\": \"City Tax Increase\", \"title\": \"City Tax Increase\", \"offset\": {\"scale\": \"ord\", \"value\": \"City Tax Increase\", \"mult\": -1}, \"values\": [-0.08, 0.0, 2.0, 4.0, 6.0, 8.0, 9.71], \"format\": \".5\"}], \"marks\": [{\"type\": \"group\", \"clip\": {\"path\": \"M -40 -20 H 500 V 220 H -40 Z\"}, \"from\": {\"data\": \"main\"}, \"marks\": [{\"type\": \"line\", \"from\": {\"data\": \"fields\"}, \"encode\": {\"enter\": {\"x\": {\"scale\": \"ord\", \"field\": \"data\"}, \"y\": {\"scale\": {\"datum\": \"data\"}, \"field\": {\"parent\": {\"datum\": \"data\"}}}, \"stroke\": {\"value\": \"red\"}, \"strokeWidth\": {\"value\": 1.01}, \"strokeOpacity\": {\"value\": 1}}}}, {\"type\": \"text\", \"from\": {\"data\": \"fields\"}, \"encode\": {\"enter\": {\"x\": {\"scale\": \"ord\", \"field\": \"data\", \"offset\": 4}, \"y\": {\"scale\": {\"datum\": \"data\"}, \"field\": {\"parent\": {\"datum\": \"data\"}}}, \"text\": {\"signal\": \"format(parent[datum.data], \\\".5\\\")\"}}}}]}]};\n",
       "var opt = {};\n",
       "var selector = \"#f466153c-857d-4ece-bfa1-f7e3c030ea88\";\n",
       "var type = \"vega\";\n",
       "\n",
       "var output_area = this;\n",
       "\n",
       "require(['nbextensions/jupyter-vega/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#f466153c-857d-4ece-bfa1-f7e3c030ea88"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega": "#f466153c-857d-4ece-bfa1-f7e3c030ea88"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "results3 = method.between(results2_spec.objective_vars[0], results2_spec.objective_vars[1], 4)\n",
    "\n",
    "parplot(results3.objective_vars, problem)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5rc1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
