panel_test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Light</th>\n",
       "      <th>CO2</th>\n",
       "      <th>HumidityRatio</th>\n",
       "      <th>Occupancy</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-02-10 09:29:00</th>\n",
       "      <td>21.05</td>\n",
       "      <td>36.0975</td>\n",
       "      <td>433.0</td>\n",
       "      <td>787.250000</td>\n",
       "      <td>0.005579</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-10 09:29:59</th>\n",
       "      <td>21.05</td>\n",
       "      <td>35.9950</td>\n",
       "      <td>433.0</td>\n",
       "      <td>789.500000</td>\n",
       "      <td>0.005563</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-10 09:30:59</th>\n",
       "      <td>21.10</td>\n",
       "      <td>36.0950</td>\n",
       "      <td>433.0</td>\n",
       "      <td>798.500000</td>\n",
       "      <td>0.005596</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-10 09:32:00</th>\n",
       "      <td>21.10</td>\n",
       "      <td>36.2600</td>\n",
       "      <td>433.0</td>\n",
       "      <td>820.333333</td>\n",
       "      <td>0.005621</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-10 09:33:00</th>\n",
       "      <td>21.10</td>\n",
       "      <td>36.2000</td>\n",
       "      <td>447.0</td>\n",
       "      <td>821.000000</td>\n",
       "      <td>0.005612</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Temperature  Humidity  Light         CO2  HumidityRatio  \\\n",
       "date                                                                           \n",
       "2015-02-10 09:29:00        21.05   36.0975  433.0  787.250000       0.005579   \n",
       "2015-02-10 09:29:59        21.05   35.9950  433.0  789.500000       0.005563   \n",
       "2015-02-10 09:30:59        21.10   36.0950  433.0  798.500000       0.005596   \n",
       "2015-02-10 09:32:00        21.10   36.2600  433.0  820.333333       0.005621   \n",
       "2015-02-10 09:33:00        21.10   36.2000  447.0  821.000000       0.005612   \n",
       "\n",
       "                     Occupancy  \n",
       "date                            \n",
       "2015-02-10 09:29:00          1  \n",
       "2015-02-10 09:29:59          1  \n",
       "2015-02-10 09:30:59          1  \n",
       "2015-02-10 09:32:00          1  \n",
       "2015-02-10 09:33:00          1  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd; import numpy as np;\n",
    "\n",
    "import ssl\n",
    "\n",
    "ssl._create_default_https_context = ssl._create_unverified_context\n",
    "\n",
    "csv_file = 'https://raw.githubusercontent.com/holoviz/panel/main/examples/assets/occupancy.csv'\n",
    "data = pd.read_csv(csv_file, parse_dates=['date'], index_col='date')\n",
    "\n",
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "%matplotlib inline\n",
    "mpl.use('agg')\n",
    "\n",
    "from matplotlib.figure import Figure\n",
    "\n",
    "def mpl_plot(avg, highlight):\n",
    "    fig = Figure()\n",
    "    ax = fig.add_subplot()\n",
    "    avg.plot(ax=ax)\n",
    "    if len(highlight): highlight.plot(style='o', ax=ax)\n",
    "    return fig\n",
    "\n",
    "def find_outliers(variable='Temperature', window=30, sigma=10, view_fn=mpl_plot):\n",
    "    avg = data[variable].rolling(window=window).mean()\n",
    "    residual = data[variable] - avg\n",
    "    std = residual.rolling(window=window).std()\n",
    "    outliers = (np.abs(residual) > std * sigma)\n",
    "    return view_fn(avg, avg[outliers])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "find_outliers(variable='Temperature', window=20, sigma=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, js_modules, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "    if (js_modules == null) js_modules = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls.length === 0 && js_modules.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n",
       "      require([\"gridstack\"], function(GridStack) {\n",
       "\twindow.GridStack = GridStack\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"notyf\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      root._bokeh_is_loading = css_urls.length + 2;\n",
       "    } else {\n",
       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n",
       "    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/gridstack/gridstack@4.2.5/dist/gridstack-h5.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (var i = 0; i < js_modules.length; i++) {\n",
       "      var url = js_modules[i];\n",
       "      if (skip.indexOf(url) >= 0) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    if (!js_urls.length && !js_modules.length) {\n",
       "      on_load()\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\", \"https://unpkg.com/@holoviz/panel@0.14.4/dist/panel.min.js\"];\n",
       "  var js_modules = [];\n",
       "  var css_urls = [\"https://cdn.holoviz.org/panel/0.14.4/dist/css/debugger.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/alerts.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/card.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/widgets.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/markdown.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/json.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/loading.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/dataframe.css\"];\n",
       "  var inline_js = [    function(Bokeh) {\n",
       "      inject_raw_css(\"\\n    .bk.pn-loading.arc:before {\\n      background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n      background-size: auto calc(min(50%, 400px));\\n    }\\n    \");\n",
       "    },    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, js_modules, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 2;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/gridstack/gridstack@4.2.5/dist/gridstack-h5.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\", \"https://unpkg.com/@holoviz/panel@0.14.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var css_urls = [\"https://cdn.holoviz.org/panel/0.14.4/dist/css/debugger.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/alerts.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/card.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/widgets.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/markdown.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/json.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/loading.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/dataframe.css\"];\n  var inline_js = [    function(Bokeh) {\n      inject_raw_css(\"\\n    .bk.pn-loading.arc:before {\\n      background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n      background-size: auto calc(min(50%, 400px));\\n    }\\n    \");\n    },    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, js_modules, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
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       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
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       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
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       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
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       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
       "    }\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>.bk-root, .bk-root .bk:before, .bk-root .bk:after {\n",
       "  font-family: var(--jp-ui-font-size1);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--jp-ui-font-color1);\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import panel as pn\n",
    "pn.extension()\n",
    "\n",
    "window = pn.widgets.IntSlider(name='window', value=30, start=1, end=60)\n",
    "sigma = pn.widgets.IntSlider(name='sigma', value=10, start=0, end=20)\n",
    "\n",
    "interactive = pn.bind(find_outliers, window=window, sigma=sigma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1002'>\n",
       "  <div class=\"bk-root\" id=\"de8076ee-4969-4c96-9c41-035ec1ce371b\" data-root-id=\"1002\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"64dcfa29-3ae7-4cfa-84c2-c5831e6597cf\":{\"defs\":[{\"extends\":null,\"module\":null,\"name\":\"ReactiveHTML1\",\"overrides\":[],\"properties\":[]},{\"extends\":null,\"module\":null,\"name\":\"FlexBox1\",\"overrides\":[],\"properties\":[{\"default\":\"flex-start\",\"kind\":null,\"name\":\"align_content\"},{\"default\":\"flex-start\",\"kind\":null,\"name\":\"align_items\"},{\"default\":\"row\",\"kind\":null,\"name\":\"flex_direction\"},{\"default\":\"wrap\",\"kind\":null,\"name\":\"flex_wrap\"},{\"default\":\"flex-start\",\"kind\":null,\"name\":\"justify_content\"}]},{\"extends\":null,\"module\":null,\"name\":\"GridStack1\",\"overrides\":[],\"properties\":[{\"default\":\"warn\",\"kind\":null,\"name\":\"mode\"},{\"default\":null,\"kind\":null,\"name\":\"ncols\"},{\"default\":null,\"kind\":null,\"name\":\"nrows\"},{\"default\":true,\"kind\":null,\"name\":\"allow_resize\"},{\"default\":true,\"kind\":null,\"name\":\"allow_drag\"},{\"default\":[],\"kind\":null,\"name\":\"state\"}]},{\"extends\":null,\"module\":null,\"name\":\"click1\",\"overrides\":[],\"properties\":[{\"default\":\"\",\"kind\":null,\"name\":\"terminal_output\"},{\"default\":\"\",\"kind\":null,\"name\":\"debug_name\"},{\"default\":0,\"kind\":null,\"name\":\"clears\"}]},{\"extends\":null,\"module\":null,\"name\":\"NotificationAreaBase1\",\"overrides\":[],\"properties\":[{\"default\":\"bottom-right\",\"kind\":null,\"name\":\"position\"},{\"default\":0,\"kind\":null,\"name\":\"_clear\"}]},{\"extends\":null,\"module\":null,\"name\":\"NotificationArea1\",\"overrides\":[],\"properties\":[{\"default\":[],\"kind\":null,\"name\":\"notifications\"},{\"default\":\"bottom-right\",\"kind\":null,\"name\":\"position\"},{\"default\":0,\"kind\":null,\"name\":\"_clear\"},{\"default\":[{\"background\":\"#ffc107\",\"icon\":{\"className\":\"fas 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1N1AwmAK2JkBjOgw81nhyADOGZmJT/aUoLaxBfuKajCmT3JgT5ZCgjIFrOz20R5mAIkoVOkqA7hw4UKsXr0a69evR05OzlnX19bWYvbs2TCbzVixYgUiIzv+Zt+e/v37o1evXjhy5Ei71y9ZsgQ1NTXqT2FhYY8eh6fCKQOorPeLd1kD2NRiR4tLE+wKxxrAgelmzBiaDgDYfrIqwGdKoUKpAk7opAhECQDrba1oagn9L2JEFD50EQAKIbBw4UKsWLECX375JfLy8s46xmKxYObMmYiKisKqVasQHd394oBTp06hoqICWVlZ7V5vMpmQkJDg9uNPSiYsHALAOpcMoLIGEADqm50fusoawF7xURjbV17/+e0JVgNTz9Q4poATOwkAzdERMBokAM4pYyKiUKCLAHDBggV4/fXXsXz5cpjNZpSUlKCkpAQNDQ0AnMGf1WrFSy+9BIvFoh7jup5vyJAhWLFiBQCgrq4Ov//977F161acOHEC69atw5VXXomBAwdi1qxZQXmcbTkzgKGfeXC2gTEiymhAhOND1zX4VdYApsRFYVw/edp3+8kqCCECfLakd3a7QK3juZUQ0/FKGINBUtvEcBqYiEKJLtYAPv/88wCAadOmuV3+8ssvY968edixYwe2bdsGABg4cKDbMcePH0e/fv0AAIcOHVIriI1GI77//nu88sorqK6uRnZ2NmbOnImHHnoIJpPJvw/IQ2pD5DDLAEqShDhTBGoamt2C3wqrPAWcGmfCyN6JiDIaUF5nw4mKeuT1igvKeZM+1dlaoHxvSIjufKlIUmwkKqy2s6rQiYj0TBcBYFcZnmnTpnmUBXI9JiYmBp999pnX5+ZPZscHk6Ux9KeelCBXaX4dF2VETUOzukMI4CwCSY2PQnSkEaNyEvHdySp8e7ySASB1i8Wx/s8UYUB0pLHTY+V1gFZOARNRSNHFFHC4UprQVoRB5kHJ9CnNr5X9gJXMYEurXf0ATnWMy4Q8eR3gH97/Ho3NoT9NTr5jaVCmf7suFEtiJTARhSAGgBqWGu8IAF12wAhVStNnpfBFWf+o9AKsdHz4SpLzA3nqoDT19h9/XxywcyX9UyuAo7ueBEmJk4NEZgCJKJQwANSw1Dh5LWI4rD1y3QsYcFn/6AgMlTFIiY1SqzLP75+qBoFf558J6PmSvinLKjzJAKq9AMPgdUhE4YMBoIap+5A2NLv1wwtFVpe9gAHnWkClP6BrBbCr+VPklkDfn6oJyHlSaLCoGUDPp4ArOQVMRCGEAaCGJcdGQpIAIYCqEJ5+srXYYXMEuEoT6LY9EF0LQFyNyJZ7MR4rt6I2DIplyDcsjZ6vAVT2CuYUMBGFEgaAGhZhNKg9yEJ5Gti10je2zRpAJTOorINUpsUVqfEmZCXKTb8PFNf6/VwpNChfFswerAFkEQgRhSIGgBrnrAQO3UIQpdI3KsKASKP8lFTWANY1yR/UlR1kAAFgeHYiAGBfEaeByTO1jgygJwGguhSDGUAiCiEMADUuNV7OeClr4EKR6z7AiqzEGADAyYp6AEC5IwPYdg0gAAx3TAPvOc0AkDxTpwSApq4DQGUKmBlAIgolDAA1Tul5F8pTwM5dQJwNeYdmyUHd5/tLcbzcijKLHACmm8/e43l0rpwB3HGyyt+nSiFCec6Zu1EEUtPQjFY7tx0kotDAAFDjejkygGW1jUE+E/9Rev0pBSAAcF7fJCQ5Mi8PfrQPZbVyAJiRcPY2feP6pSDKaMCJinrsZRaQPKC0gYn3IAOoPA+FcPYPJCLSOwaAGpeVJGe8imtCNwB03QdYYYow4h83jAEAbD1WiaLqBgDtZwAToiMxe0QmAOCNbQX+Pl0KAc4MYNcBYKTRoE4VcxqYiEIFA0CNUypci6tDNwB07gPsvifr5AG9YI6OQENzq9oGJr2dDCAA3DixDwBg1a7T3BaOuqSsAYz3IAAEgGS1EIQBIBGFBgaAGqcUQxTXNAT5TPxH2e2j7XScwSBhQr8U9XejQVLXRLY1MS8FmQnRsNpasflouf9OlkKCWgVs6noNIOBSCGLlFDARhQYGgBqXrQaAjRAiNBegKxXOye0Ed9OGpKv/7t8rDhHG9p+ykiThkqHysZuPVPjhLCmUdGcKGOBuIEQUehgAalxGojzl2dRiD9lKYKXHYa92AsDpLgHgoAxzp/czwtEP8OiZOh+eHYUau12oAaDHU8DqbiCh+RokovDDAFDjTBFGtRI41ApBGmytuG/lXry+VS7cSE84u8AjOykG147NAQDcMKFPp/fXNzUWAHCyst7HZxoath6rwIc7T4dsJtlTdS47z3iaAVSy06G8JSMRhRfP3v0oqLKTolFe14Si6gaM6J0Y7NPxmX9tOIJXtpwEAEgSMCEvpd3jHr1mFO66dBCyk2I6vb8+KXIAeKqyAa12AaNB8u0J61hBRT1u+s82tNoFIowSfjAqO9inFDRKAUiU0QBThLGLo2XJsSwCIaLQwgygDqiVwCGWAfzyYBkA4NqxOfjq9xd3OMVrMEhdBn+AnC2MNEqwtdpRYgmtsfLWdycr1SbG7353KshnE1zdnf4FWARCRKGHAaAOKJXARSFUCVxptWFfkQUA8IfZQ5DryN55w2iQkJPsmAausHp9f6HEdV3klmMVaGoJ31Y5td1oAq1gEQjpwckKK05Xh87nBPkXA0AdyE4KvV6Ayr69/dPikGZuv7dfTyjZUmXrOJIdO+MMiG0tdnx/Knx3TFH2nm7bd7IznAImrVv9fREuemwDJj/yJd7fHt5ZfvIMA0AdCMVegPmltQCAwV1U9naXEkyeqWUA6EoJAJWg55vjlcE8naBqbLYDAGK6EwDGOaaAWQRCGvXR7iL1318cKA3imZBeMADUASUDWBRCGcD8UnlK8hxfB4COiukzdQwAFa12geOOKfEfj88FAHx7InwDwAbHTjExkT3LAIZ7FTVpk7KkBgCOl3MJDHWNAaAOKBnAUksj7Hb9ffg0tbTin1/mY/6yb7Hkg+/Rahc4XCZnAM9Jj/fp32IG8GxV9TbYWuyQJGDuub0BANtPVKlFIeGm0dbzALC5VcBqC9/1k6Q9a/aW4KfLvsWpKucMUagVDJJ/sA2MDqSbTTBIQItdoLyuqd1+eVr24sZjeGLtYfX3GUMzcMSRAeyquXN3KXsFl9XyDVChrFtLiI7EiN6JiDdFoLapBZ/vK8FlI7OCfHaB1+gogInuRgAYE2WEKcKAphY7qqy2bhWQEPnL5iPl+MXr29XfeyfF4HR1A2oamlFva0FsFJ+n1DFmAHUgwmhAhiPoK9LhN7uv8s+4/T7/le9Q29QCo0FCv17eV/+6SouXx4kZQKdKR+uS5NhIGA0SfjhaDvq+OFAWzNMKmgZb9wNAwJkFrGIhCGnE298VAgBG9E7Aw3NH4K07zle/nITSkiHyDwaAOqH2AtRhif/xcnlnjsd+NMrt8nPS4z1uxOspTgGfTQlYlFYmlw7LAADsKqwK2jkFk7oGMKp7b3/cDYS0RAiBLUflfc/vmTMUN5/fF7kpsS59Y/X3WUGBpYsAcOnSpRg/fjzMZjPS09Mxd+5cHDp0SL2+srISv/71rzF48GDExMSgT58+uPPOO1FT03mrCyEE7r33XmRlZSEmJgYzZsxAfn6+vx9Oj2QlKb0A9fWtrq6pBeWOgoxZIzLxi4sGqNddOy7X539PCQCr6ptha7H7/P71SJkCVpoZj8pJAgAcPWOFpTH8ghklAIzu5pcP7gdMWnKs3Iqy2iZERRhwXp9k9XLlsyKU2oaRf+giANy4cSMWLFiArVu3Yu3atWhubsbMmTNhtcqVTkVFRSgqKsLjjz+OvXv3YtmyZVizZg3mz5/f6f3+/e9/x7PPPosXXngB27ZtQ1xcHGbNmoXGRu29cLIS9JkBPFUlZ/+SYiOREB2JO6cPxLVjc/DbSwdh/pQ8n/+9pJhIRDi2gKuwMgsIODNWyhRmr3gTcpLlD4k9YdgPsKkHbWAA+TkMANXMAJIGfOto5XRubpLbcoZsRwaQDaGpK7pYIbpmzRq335ctW4b09HRs374dU6dOxYgRI/D++++r1w8YMAB//etfcfPNN6OlpQUREWc/TCEEnn76afz5z3/GlVdeCQB49dVXkZGRgQ8//BDXX3+9fx9UNynFDeU6a29S69h3VQk+YqMi8Ni1o/329wwGCb3iTSixNKLM0qRWUIeztlPAgPyhcaqqAbsKqzF5YK9gnVpQ9HQNYEK0HADWhmHWlLTn2xPyEo4J/dz3UE+Nl1/nNQ18nlLndJEBbEuZ2k1JSen0mISEhHaDPwA4fvw4SkpKMGPGDPWyxMRETJw4EVu2bPHtCftASpwcAFbqLPtQ34OWG95SMjXhOL3ZnmqXIhDFublJAIDvT1UH4YyCS50C7uZz0uzYO9ji+FJDFExKL89x/ZLdLle+qFgYAFIXdJEBdGW327Fo0SJMnjwZI0aMaPeY8vJyPPTQQ7jjjjs6vJ+SkhIAQEZGhtvlGRkZ6nVtNTU1oanJmYGzWCztHucPKY6dCCp1Nq3ZYJM/LLuz7Za3lA/qOn5QA3DJAMY5M4B5veIAwK13WLjoSSNoADAzA0ga8f2pahRU1iPCIOG8vm0CwBh+ASbP6C4DuGDBAuzduxdvvfVWu9dbLBZcfvnlGDZsGO6//36f/u2lS5ciMTFR/cnN9X0RQ0eUDGCVVV8vajUDGMAAUGmDUNvEABBwrllzzQA6txfU3npXf2vsYRVwgpIBbODzioLr3pX7AABTB6WpGT+Fmc9T8pCuAsCFCxdi9erVWL9+PXJycs66vra2FrNnz4bZbMaKFSsQGRnZzr3IMjMzAQClpe57JpaWlqrXtbVkyRLU1NSoP4WFhV48mu5Jcazf0lthQzCmgOMdb4jMAMqq1CpgZwawt6NSsNJqU9fEhYtGLzOAzKxQMJ2ssGJXYTUA4NeXDDzr+gQ+T8lDuggAhRBYuHAhVqxYgS+//BJ5eWdXj1osFsycORNRUVFYtWoVoqM73y0jLy8PmZmZWLdundt9bNu2DZMmTWr3NiaTCQkJCW4/gZLiWNjb2GzX1Qe2cq6BnAJWMoB1zAACcFYBJ7lkABNiItT/J+HWL0yZAjb1cA1gLb9YUBB9vKcYADB5YCrG9Ek+63plCpjPU+qKLgLABQsW4PXXX8fy5cthNptRUlKCkpISNDTIH1xK8Ge1WvHSSy/BYrGox7S2OoOlIUOGYMWKFQAASZKwaNEiPPzww1i1ahX27NmDW2+9FdnZ2Zg7d24wHman4qKMiDLK/7sqddSHzNl0N3DLTdU1gAwAIYRw6QPozABKkuTSMDa8poEblTYw3a0C5toqCjIhBD7ceRoA8MNR2e0e41yqwOcpdU4XRSDPP/88AGDatGlul7/88suYN28eduzYgW3btgEABg50T4kfP34c/fr1AwAcOnTIrTn0H/7wB1itVtxxxx2orq7GlClTsGbNmi6zh8EgSRKS4yJRamlCZZ1NncLTuvogZgD5DVgOglvsAoB7AAgA2UkxOHrGiqIw6xfW0MNlCcwAUrAVVNbjcGkdIo1Sh/t4K0sV6mwtsNsFDI6+qERt6SIAFEJ0ev20adO6PKa9+5EkCQ8++CAefPBBr84vUFLiTHIAqKcMYBCqgDkF7KQUgJgiDGcV4mQ7CkHCbc/Qxh62gWF7DQq2t7+V152fm5uExJj217grX1SEkAvhOjqOSBdTwCTTYyuYoFQBq21g+EHdXgGIIispPPcM7WkbGCUAbGqxc5tBCjghBNbsk1uUdda8PTrSCFOE/NHOLyvUGV1kAEmmNoPWUSuY+h5+2HrDzClgVXsFIIpsne4v7Q3R2oLRLXuQZqiGuTQaSJ4GGDx7bipfLAC5F2BqvMk/J0nUjr2nLTh2Rt7+9Jbz+3Z6bLwpAk0tNlhtfA+kjjEA1JGUWP1lAINRBRznCACtOqqW9pf2CkAUyhSw3vaX7rH9q4BP/4g3o4rk39/5J5CQDcx+FBh2RZc3N8KOaVEHkdBSCduRKGDUJR4Hj0Te2lkob/128eC0Lr98xJqMqLA6Z2CI2sMAUEd0mQF0fAMNZBVwnMno9rfDWZXVEQDGnZ0BdE4Bh0EGcP8q4J1bAbRZK2wpli+/7tXOg8D9q4BP/4BlhmIgCsCH/wTWZQGX/d2j4JHIW/uL5J2nhmcndnlsnOP9tr6JASB1jGsAdURZA6h8qOuBmgEM4BRwrOPNz8o3P5cp4LMzgJkJcgBY19QS2tub2VuBNX8EIHB2PaSQf9bcLR/Xnv2rgHduAWqL3S+vLZYv37/K56dM1NbBkloAwNCsrvvPKjMunAKmzjAA1BElA1hep6Mp4OYgTAEr33755ucyBXx2BjDOFKFWDJZaQjgLeHIzYCnq/BjLafm4tuytwEd3dn7bj37TcfBI5COnHUs1+qTEdnmssgyG74HUGQaAOpKZKAeApbX6+bAORhVwrDoF3Aq7vev2QKGsSt0H+OwMIODMApbU6OdLRbe1zdx157jjXwMNVZ3frqFSPo7IT2wtdvWLv7J0ozNqBpCzINQJBoA6kuH4sC6tadJNYOMsAgngGkCXv6VkIMOV0gamvSlgAMh07AZyuro+YOcUcHVlPT/u5CbPbuvpcUQ9UGpphBBAVIQBqXHtv5ZdcRaEPMEAUEfSzdGQJMDWatdNM+hg7AQSHWmA5FjsFe5rYKrVDGD7zWAHpscDAPJL6wJ2TgFXX9nz4zz9nqWP72OkU8r0b3ZiNCSp6509lFkQZgCpMwwAdSQqwoBejvL/Eh1UbtrtQs3AdXfXBW9IksQqOIeuMoCDM8wAgP9sOo7fv7s7NDMGHnxgdnhc3oWe3ZbtYMiPlGbt2R5uAcoMIHmCAaDOONdsaT8AbGxxBl+BzAC6/j1mADvPAA7KNKv/fnf7KSzfVhCQ8wqomKSeH9dvChCd3PVtv3mRhSDkN8p2jVmJngWAMer7H5+T1DEGgDrT2/ENsLBK+2u2XJuQBnInEMC1Ci403wAbm1uxr6hG3d/a2tSC/3x9DFuPVajHNLfa1f2QOyoCGZRhdvs9JAPA+IyeH2cwAhN/3vVtWQhCfqRU6SuFgF1xzoCE9xdg6hwDQJ3JS4sDABwvtwb5TLqmFIBERxpgMHg4Decjziq40HwD/OP73+PyZzfhnD99CiEE/vrJATz88QHc+tI3qHT0iVSyf5IEJHSwIXy8KQLXjctBuln+YDlWbkVjqBXOVB737DhzVvuX2z3skXjiK8+OI+qm6i6q+dtS1wCG6Bdg8g0GgDqT10sOAI+UaX/Rfn0QKoAVzjUwofcG2Nxqx8pdcl+7FrvAip2nsXLnaQBygdDX+WcAOHsAJsZEwthJAP73H43Gtnumqz0BCyq1n132mL0V2P5y18cl9Ab6XtD+dVUeZkU9PY6om6o62dKxPVwDSJ5gAKgzIxzbAH1/qgatGm8FoxSABHr6F3B+A64LwQxg26bNf19zyO2b/rcn5GrWrnoAupIkCf1S5S8XJ3SQXfbYyc2e9QE877ZOCjlYCkzBVdOg7OjTfia/LfYBJE8wANSZwZlmxEUZUdfUgkOOrYG0Svn2GegCECC018AoC8IVJW0CwpMVcgbPWQHs2YdGn1R5h4GQygB62gQ6Jc+/50Hkha6q+dviTiDkCQaAOmM0SBiVkwQA2FtUE9yT6UJDEHYBUcSF8BoYZY3f6JxE5CQ7qwIvGpQGACh0BHDV3Zw2UraYCqkA0HrG++MkD98mPT2OqJuq63uWAQzFJTDkO3zH0qHBjtYd+aVazwAGcQo4hNfA1DYqHwZR+L9bx+HCc3rh8pFZ+P2swQCAU1UNaLULdQrY0w+Nvo4A8NsTVWoQqXtxad4fl5Tr2X14ehxRN7S02lHb2Hk1f1uh3gWBfIMBoA4pAeCBYm0HgA1B2AVEERfCnfCVDwNzdASGZiXgtfkT8dxN52GI43nRYheorrc5p41iPMwAOqaADxRbMOeZr1Fl1cduM53qqLK3O8flXeTZfXh6HFE3KOv/ACAh2rOCulDvgkC+wQBQh0b2VgpBqtU+cFrkXAMY+Crg0M4AKgGge2YvwmhQs32VVhuqrZ03gW5LqTAHgNqmFuw5re0lBh7Jndj11KxklI/rSJ9Jnv0tT48j6gYlk58QHYEIo2cf2coa6KYWO1pa7X47N9I3BoA6NDjTjKgIAyyNLeqCfy2qbw7eGsD4SOB8w34MKf9cbtAbQrs0KFPA7WUDUhwbxVdYbbA4jkv0MADMSozBZSMy1d/zddBqqEuF2wDRxQegaJWP68jJzZ79LU+PI+qG6m4WgADOLgiA832YqC0GgDoUaTRgWFYCAGD3qergnkwngjYFvH8Vrt00B29FPYyfljwMvPID4OkRwP5VgT0PP3GdAm4rxfEhUekSACZEexYAAsCzN4zB8Gz5uXWmtsnbUw0+T6uAOzvO0wbPbARNftDVdo7tiZIEJhsP4ArDZrQc+SqkvgCT7zAA1KlROc5+gFoVlCrg/auAd25FTGOp++WWYuCdW0MiCKxtkj8Q2k4BA20ygA1yoJjYwS4g7Yk0GjB7uJwFrGkIgTWAdWXeH1d9yrP78PQ4om5Q1vImepoB3L8K0tMj8EbkQ3g26p9Iee9q4KnhIfHeR77FAFCnlHWA+zTcCqY+0I2g7a3Amj8CEDh73wvHWsk1d+v+23BnGcDUeEcGsM4lAxjTvTWYyjpCJfOga/WV3h+XlOPZfXh6HFE3KEUgHmUA968C3rnl7Ix2bbF8OYNAcsEAUKeGOabp9hdZNFsIojRhjjcFqAjk5GbAUtTJAQKwnNb9Wi1LB0UggDMDWGltUj84ujMFDDgzDUrmQdckD/eg7uw4VgFTEDmr+bt4HdtbgY/u7PyYj36j+y/A5DsMAHXqnHQzIo0SLI0tOFXVEOzTaZc10FPAdaVdH9Od4zRKKQJpLwOotHypbmiGRQkAuzEFDDinjEMiAxid6P1x/aYAMSld30dDlWd/i6gbnE2gu5gCPv5118/Bhkr5OCLoJABcunQpxo8fD7PZjPT0dMydOxeHDh1yO+bFF1/EtGnTkJCQAEmSUF1d3eX93n///ZAkye1nyJAhfnoUvhUVYcA56XLft31FliCfTfuUNYBxgWoDE5/h2+M0qrMpYCV4K6pugLJVdHfWAALOTINr/zHdaqj2/jiDEbj8qa7v47N7mF0hn/N4FxAWK1E36SIA3LhxIxYsWICtW7di7dq1aG5uxsyZM2G1Ojetr6+vx+zZs3HPPfd0676HDx+O4uJi9WfTpk2+Pn2/Uao19xdrMwC0Bnov4L4XAAnZQDsrAGUSkNBbPk7Hajup7lWyfYWVclY4ymiAKaJ7L/PEUAoAfTEFDABxqV3fRwgsL6DgaeygXUt1g4dbOrJYibop8B16e2DNmjVuvy9btgzp6enYvn07pk6dCgBYtGgRAGDDhg3duu+IiAhkZmZ2faAGjeidiHe3n8LOAm1OPdU7duGIC9QaQIMRmP0o8M6tEJAgwXVtpOMDfvYj8nE61dxqR2Oz3Neu3SlgR5agxNIIQC4AkTwNghxct5Gy2wUMhu7dXlN8MQUMhM3yAgqOpZ8ewItfHcPSq0bi+gl93K6rsnrYz5PFStRNusgAtlVTI1e+pqR4sC6nC/n5+cjOzkb//v1x0003oaCgwOv7DJSJ/eXH/3V+OWwt2uv2Xt8sZwAD2gZm2BXAda8CCW229krIli8fdkXgzsUP6hqdO5u0V1zTdrq3uwUggHtgadX7Tiq+mAIGwmZ5AQXHvzcegxDA/R/tO+s6ZxVwFxlAFitRN+kuALTb7Vi0aBEmT56MESNGeHVfEydOxLJly7BmzRo8//zzOH78OC688ELU1ra/x25TUxMsFovbTzANSjerVZ/Pbzga1HNpj5oBDPRWcMOugLRoL25tvRd32hai7Or3gUV7dB/8Ac71fzGRxna3hWobALaXJeyKKcIAoyPrp/u9lH01BRwmywso8Fy3q2xstuPZdfk44rILj8dVwP2mAFHxnR8TFS8fRwQdBoALFizA3r178dZbb3l9X5dddhmuvfZajBo1CrNmzcInn3yC6upqvPPOO+0ev3TpUiQmJqo/ubm5Xp+DNwwGCdOHpAMAVu46rbl2MAFfA+jKYMR+0yissl+AyvQJup72daU0gY7vILA7KwPYzQIQAJAkSc0u1jXpfB1gTJJvjlOWF6C9LpOhsbyAguPYGavb70+uPYwb/28rAKCppRX1jmK6LjOAAGDs4piurqewoqsAcOHChVi9ejXWr1+PnBzfr2NISkrCoEGDcOTIkXavX7JkCWpqatSfwsJCn59Dd913xXBERxpwrNyK3RraFaTVLtS1agFbA9hGrCPzqPsslovOKoABOdiOcFmz15MpYAAuAaDOxy4uzXfHOZYX2GLbTPOGyPICCo4j7ey5XVbbBGtTC2ocFcAGyYNs/snNcpuXzjRUslCJVLoIAIUQWLhwIVasWIEvv/wSeXl5fvk7dXV1OHr0KLKystq93mQyISEhwe0n2OJNEZg5TC5i+XxfSZDPxqnBpaItKBlAl79br/d1bC6UNYDmDoJqSZLc2kV0dxcQhbJuU2nlo1vWct8eN+wKHL95K663/Rn3SIuA21aHzPICCg4lAOybGuu2a9LJinpUO9b/JcZEdl2MxUIl6iZdBIALFizA66+/juXLl8NsNqOkpAQlJSVoaHA2QC4pKcGuXbvU7N2ePXuwa9cuVFY6vxFNnz4d//znP9Xff/e732Hjxo04ceIENm/ejKuuugpGoxE33HBD4B6cD1wwQG5Rsf2kdqqBlVYlEQap221IfEXJPIZSBtDS2PE+wArXad/OjuuM8kHUUWsK3fDFVnBtmGOjsdU+DO/ZzgfyLuS0L3lFCQBvOb8v9j84C0My5f6uZbWNqLI61v95Mv3LQiXqJl0EgM8//zxqamowbdo0ZGVlqT9vv/22eswLL7yAMWPG4PbbbwcATJ06FWPGjMGqVc69D48ePYrycuc3/VOnTuGGG27A4MGDcd111yE1NRVbt25FWpqH00YaMa5fMgBg96lqzVQDl9fKb1y94k3dbkPiK6GYAfSkKazrOsCEHhSBAM4AsEHvAaCvikBcKNPjtlY7mlp0Pj4UdMfK5QBwQHo8JElCekI0AHkaWCkA8WgfYBYqUTfpog+gJ8UN999/P+6///5Ojzlx4oTb774oJNGCAWnxSI6NRFV9M/YV1WBMn+RgnxLO1Ml96HqZg7foWKk+tup9GtOFMiXkcQDYgyIQAIhWg2edj52v+gC6cG2/U9vYAlM8M4DUM0IIFFTWAwDyUuMAAOlmEwCgzNKIphb5/bNXvKnrO3PpgyoHgaHXB5V8SxcZQOqcJEkY10/uCbj+0Jkgn43sTG0TACDNkzcuP4k1OYKYptDJANY4MgKdbe+W6DYF3LPveLGhkgEs/Naz4zztFwjAaJAQ5wiQaxtD57lFgVdW24TGZjuMBgm9k2MAuASAtU2oqJPfR1M9fR8N8T6o5FsMAEPED0bJL/j3viuE3R78djBqAGgOXgAY0hnAmI4zq679wjxqHdEOpQikUc9jZ28Fjq3z7FhD994KlbWVdQwAyQsnK+TsX3ZSNCIdfT2V98zyuiaU1ylfpLvxOh52BbBoL45f/jbutC3EL4wPsFCJ2qWLKWDq2qzhmYiONKCophHHyuswMN0c1PPRQgAYihlAZQ1gZ9tCufYI7JMS26O/Ex0KGcCTmwGbtevjAKBv95rjxkdHABZnsRNRTyjTv31T4tTLlOb+FXU2KKufPM4AKgxGIO9CrLK3Ir4lgtO+1C5mAENEdKQR4/rK08Cf7gl+O5jyOmcRSLA4M4ChEwAqGYGUTjJ7yrS7QQL6psZ1eFxnlCIQXa8BrC327LioOLmatxuUqfXaEPpyQYGnBIC5KTHqZalx8uu30mpDheN9NLU7GUAHZZmC1daiuU0CSBuYAQwhV43pjU1HyrFqdxF+Pf2coJ5LUY3coifdHB20c1AqYC0NofEh/fDq/dhXJG8/2K9Xx4Hdj8blwmprxdi+yeqWbt2lVFDrug1MXZlnxw29stsZEmUKmGsAyRunquQAMCfZmalXMoCVVhtaHct5evJFOtZRrCSEvMVcQPdkJ11gABhCpg9NhyQB+WV1KLU0IiMhOMGX3S5wuETeT3lQRhd7U/pRsssbqd6V1DTiP5uOq7/37yQAjDdFYMHFA736eyHRCNrT3n7m9hu/d3oTZacUTgGTF0pq5G4JvZNcMoCObF9VvU1t69WrBxlA16bSVlsLA0A6C6eAQ0hSbBRGZMvtLDYf9XBnAz8oqKyH1daKqAgD8joJVPxN+Sat9NLSs23HK9R/3zVjUNe7AngpJNYA+qEHoEKdAmYGkLxQ7AgAMxOdX9aVwi27cC4x6EkG0GiQnP089fxFjvyGAWCIuWCgvCvI/45UdHGk/xwvlxfe9+8Vhwhj8J5iyhtpKGQAD5fKGdWbJvbBb2b4f3o/NhT6AMYk+fY4F0ovQK4BpJ4SQqDYsVQmyyUAjIowuLVvijBIPd7TO87kXAdI1BYDwBBzwYBeAIAtR4MXAJbVnv2tNhiUKeDq+mbdL4IutcjFH9kuU0X+FBJbwcV5uKOPp8e54BpA8lZNQzMam+Up3rbLdVLjnFO+qfFRPc74x0aF3naY5DsMAEPMOMfC/9PVDThdLX+7FELgH+vysex/x7u4tW+UOYKV9CC2gAGclbK2VrvuewEGurF2SEwBWz1cBuHpcS7i1SlgrgGknlGmf1PjotTXmyLFNQCM6/lrPhS3wyTfYQAYYuJMERiaJfcA/O6EvAj+YEktnlh7GPd/tB/5jqlEfyqrVQLA4GYAY6KMiI6Un+JVOp8GVsY0LSEwAWBMKEwBe1oE4ulxLpQpujpOAVMPKdO/7c2UpLgEfb28+CIdZ2IGkDrGADAEnZ8nrwPc7FgH6DodvGav/3sEVljlYKUnlWu+pmQBlWlpvTrjOP9AZVVDog2MH4tAElgEQl5SMoBZ7QSArlPAveJ6/j7KDCB1hgFgCJpyjrwOcNORcgghsOWYMwBU+sj5U42yXVkPtyHzpRG95arof60/GuQz6bmWVjsqHBnMQO2sEhLVg34tAuFWcOSdEjUAPHtdb0q8+xrAngrF7TDJdxgAhqCJeamIMhpwuroBR89Ysc0lADzp6DzvT+p2ZTE9q1zzpXkX9AMAfJV/Bk0t+nwTrLDKW0IZJO/WA3VHSKwB9GsRCNcAknfaawGjcM0ADkjreS/VUNwOk3yHAWAIiokyYmzfZADAs+vyYXHJUhRUWP1eEatkABM0EABOGiBPhze3CuSX1gX5bHpGKarpFW/q8c4e3RUSjaADUgTCD1bqmfZawCiGZiWo/z63T1KP/0asuh2cjl/H5DcMAEOUMg28ancRAOCHo7MhSfIbQaXVhk355bj6X/9zyw76inMKOPgBoCRJGOcIhh9avR8A8PL/juNnr3ynm/6AZ+rkTEGgpn8BINaRAbS12tHSag/Y3/WpQBSB2Fpgt+u7xRAFR2cZwAsGpOLJ60bj2RvGYEhmwlnXe0qZAmYGkNrDADBEXXlutvrtzyABP5/aH5mOXlMFlfVY9PYu7Cioxm/e2uXTv9tqF2pWRAtTwABw7bgcAMCuwmqs3HUaD3y0H18cKMVb3xYE+cw8E4y2Oq7bRul2GtifO4FEGnC+YT9+KG1GY/4GwK7TMaKgEEJ0ugZQkiRcfV4Orhid7dXfieUaQOoE9wIOUTnJsdh2z3RsP1mFdHM0hmUnIDclFsU1jdhbZEF5nRxUlFh8Wx1raXCuidJKAPijsbm4d+U+NLXY8eBH+9XL9532f0GMLwSjrY4pwgCjQUKrXcDa1Ko2PtaV6ETfHqfYvwrRa/6It6Lk7Dre/CeQkA3MfhQYdkX37ovCkqWxRW2x1N4UsK8oO4GwCpjawwxgCDNHR2La4HQMy5anEPqkxAIAVuw45XZcmQ+DQGX6NzbKiMggbgPnymiQ1IXUFS7TvsqWdVqnNoEOYAZQkiSX9UM6/fBoqPbtcQCwfxXwzq2QLEXul1uKgXdula8n6oKy/i85NvKsJtC+xJ1AqDPa+ISmgFACwB0F1W6XHynzXXGEuv5PI9k/Re/ks6dZ9NIbUDnP9AA1gVbEq01kdRoA+noK2N4KrPkjgPbW/DkuW3M3p4OpS871f/7d2pEZQOoMA8AwkpvS/pvNKceWcb6gpQpgV6N6O6f5rh+fCwAor7OhWQcFDs4p4MAGgLrfRcDXfQBPbgbaZv7cCMByWj6OqBMlnTSB9iUlA6jrHX3Ib7gGMIwoGUDFBQNSsfloBU5X+S4ArG7QTg9AV/MvzENdUwuGZSdgzsgsvL/jFJpbBcpqm9A7yb/fwr0VjClgwDUA1Gn2wNd9AOtKfXscha3OdgHxpTjuBEKdYAYwjOS6BIDJsZG4wNEj77QfMoBaCwBjoyKwZM5QXHlub0QaDWpBRamPi2B8TQgRtL2V4/S+BtDXfQDjM3x7HIWt4uqOewD6Uqzes/jkVwwAw0havDODNConCTnJckB4qsp3u4NYNNQDsDMZjvV0viyA8QdLQwtsLfI0dfAygDr98PB1H8C+F8jVvuhozaAEJPSWjyPqhNJ9we9rAJkBpE4wAAwjkiThj7OHINIo4ebz+6qFEeGQAWwrw9ETUVmLo1VKE+iE6Ai/Vgu2x2zS+XZnvi4CMRjlVi/yjdreifyf2Y/IxxF1IlBTwGoGkGsAqR0MAMPML6cNwIEHZ+PSYRnq2rfi6kbsLqzG1/lnvL7/Gg3tA9wZJQAsdUyvapXSBDrQ2T/AWchj0WsA6I8+gMOuAK57FUjIcr88IVu+nH0AyQMlnewC4ktKBtDWYtdFwRsFli4CwKVLl2L8+PEwm81IT0/H3LlzcejQIbdjXnzxRUybNg0JCQmQJAnV1dUe3fdzzz2Hfv36ITo6GhMnTsQ333zjh0egLRGO/nwZCdGIMEhosQtc+dz/cMtL32BHQZVX913dIPfZ000AqPEp4GCt/wOcAWBNg04DQH/0AQTkIG/RXnx83v/hTttCPJv7FLBoD4M/8oilsRl1jsKqQFUBA6wEprPpIgDcuHEjFixYgK1bt2Lt2rVobm7GzJkzYbU6G/nW19dj9uzZuOeeezy+37fffhuLFy/Gfffdhx07dmD06NGYNWsWysrK/PEwNMdokJCV5P4G9PY3hV7dpzoFHBvl1f34m7IGUOsBoFIBHOgegIAziK9p0On6IT9uBQeDEdbsSVhlvwA7DCM47UseU7J/iTGRbgGaP0RFGBBplJ/fXAdIbemiDcyaNWvcfl+2bBnS09Oxfft2TJ06FQCwaNEiAMCGDRs8vt8nn3wSt99+O37yk58AAF544QV8/PHH+O9//4u7777bJ+eudb2TYlBY6VwDuP6Qd8GvEixoPQOYqWYANT4F7GgC7VrAEygJ0fLbg24zgL7uA9iGMj7K3tdEngjU+j9FTKQRza0t+i3mIr/RRQawrZqaGgBASkpKj+/DZrNh+/btmDFjhnqZwWDAjBkzsGXLFq/PUS/aTi2W1TahwdaKelsLhGhvx4POWXRSBJKukwxgmSYygDoNAP3ctiXBsT+yRa/jQ0FR4tgGzt/r/xRKNT8zgNSW7gJAu92ORYsWYfLkyRgxYkSP76e8vBytra3IyHB/88/IyEBJSUm7t2lqaoLFYnH70btLhqQDkLf9MjsyGq9sOYFR93+O217+ttv3V12vjzWAvRwZtdrGFjQ2a/eb8ZkgrgFU/h/W6jXAMWd1fUx3jmtD90UyFBRF1UoGMDAN6NU9vZkBpDZ0FwAuWLAAe/fuxVtvvRXwv7106VIkJiaqP7m5uQE/B1+7YnQ2Hp47Am/efj76pcYBAJ5cexgtdoGvDp9BldXm8X01t9rVdgNa2wu4rcSYSHVtTEU3HmOglQVpFxAASHT0cqzWawCo9u3rhBd9+5wZQGZWyHOB2gZOofsdfchvdBUALly4EKtXr8b69euRk5Pj1X316tULRqMRpaXu2zaVlpYiMzOz3dssWbIENTU16k9hoXcFE1pgMMg9AUfmJKpbxSmNhwFg16lqj+/LdSpMySZqlSRJSI2Tg6pyDbeCURpVB3ofYABIiZMLearqbWjRYwsJtW+fhPYXM0he9e1TnuMNza1ssUEeK7YEpgWMQnme1jEApDZ0EQAKIbBw4UKsWLECX375JfLy8ry+z6ioKIwdOxbr1q1TL7Pb7Vi3bh0mTZrU7m1MJhMSEhLcfkJJn9TYsy7bXVgNIYRH06TKWjGzKUJtNaNlvcxygFNep80AsLG5FRZHgUEwpoBT40wwSIAQ2s6SdsrRt68mos1+vwm9ve7b5/olh4Ug5CllDWCgMoBqpppLFagNbadpHBYsWIDly5dj5cqVMJvN6hq9xMRExMTI6yhKSkpQUlKCI0eOAAD27NkDs9mMPn36qMUi06dPx1VXXYWFCxcCABYvXozbbrsN48aNw4QJE/D000/DarWqVcHhpm/K2QHgrsJq3PnWLny0uwizhmfg37eM6/D21WoLGG1P/yqyE2Ow97QFJyt8txWeLykFKqYIAxJiAv9SNRok9Io3oay2CWdqm9Teiboz7ArcvzsbJXvW4+fnxeHisSPlaV8vW7dEGA2IizLCamuFpaFZzZgSdaa4OrBTwCxWoo5oP00D4Pnnn0dNTQ2mTZuGrKws9eftt99Wj3nhhRcwZswY3H777QCAqVOnYsyYMVi1apV6zNGjR1Fe7tz4/cc//jEef/xx3HvvvTj33HOxa9curFmz5qzCkHAxMD1e/ffEPDlo3nDoDD7aXQQA+GxfKSo6yZbpZRs4xdAsOYO7v1ibxTwnHIFp39RYSD3pVecDytpDpR2NXtU3A1vtw1CUezmQd6HP+vYphSDMAJInahubUeuYivX3PsAK5cujhc9RakMXGUBP2pHcf//9uP/++zs95sSJE2ddtnDhQjUjGO7G9k3GL6cNQEFlPe6ePQTTn9gIW5u1TV/nl2PumN7t3l4vLWAUw7LlAPCARgPAkxVyo/O+juKcYEg3m7APzmpkvWpwLGGI8fF+yuboCBTX6LhVDgWUktU3R0cg3hSYj189ZwA/21eCXYXVmDKwFyYP7BXs0wk5uggAKTAkScIfZw9Rfx+WnYBdhdVuxyx6exeyk2IwIe/sHozVOtkHWDHMkQHML62DrcWOqAhtJcSPl8sBYL921mYGirL2sEzjDbO70uinADApRp72VbZAJOpMoJtAA/puV/TV4TN4Y1sBTBEGBoB+oK1PPNKUc3OT1H/PHOacFr/u31tw55s78YN/fI1jZ+rUy5UsSJJO1gDmJMfAbIqArdWOoy6PQyv2npYbng/KMAftHJxTwHoPAOVMdrSPA0C1UlqvRTIUUEoAGMj1tOoUsA7bFSmtawKVLQ03DACpQ2P6JKn/fvy60VhymTM7uGp3EfaetuDJtYfVy5QAMEEnGUBJkjDUMQ28v0hb08Cbj5bj2xNVAIDz+iYH7TyUHUhCZQrY1wFgsiMA1G2VNAVUMBq767kKuM7RvDqOAaBfcFSpQ3NGZuF4uRUjshOREB2Jn180ADOHZ+LRTw9izT65EnvrsQr1eL1NAQPyNPA3xyuxv9iCa4J9Mg6HS2tx4/9tAwCM6J2A/r2CuwYQ0H8RSIOjQXlMlG8DwFRHAFjJAJA8cCYIWzuqU8A6XANY1ySfMwNA/+CoUocijQYsmjHI7bK8XnF44ZaxqG1sxqgHPkd5nQ3ldU3oFW/SXRUw4CwE0VIG8Ot8Z6X6wovPCVoFMOCcAj6j0V6Jnmpq8c8awBRmAKkblC9SgWzs7swA6nEKWH7dxpt8+7olGaeAqUfM0ZFqZmrPKXmtmvINU1kYrwfDXFrBeFJtHghKMHrVmN6YPaL9XWkCxbUIRCvj0xNKBjA60rdveanxjgxgHQNA6ppSTBXQKWB1DWCz7l7DzjWA+kkq6AkDQOqxEb0TATj76OkxAzgow4wIg4SahmZ1gXawHXEUpMwaHtzgD3BmAJta7LrdSkoI4bc2MCmcAqZuKAvGFLAjA9hid74O9EJ5z4ljBtAvGABSjyn96U5VyQ2LlVYYegoAoyIM6J0sN2QtrNTGjiDK3sQZAfyQ6Eh0pFHNmilrPPXG1mqH3ZH4iPbxGkBOAZOnhBDqFHBafOBe27FRRhgN8jISvVUCKxnAuCiuVvMHBoDUY7lq4CTvbanHDCAA5CbLffYKqxqCfCbyh0SFVQ4AewXwQ6IzybGOVif1+gxylBYwABAd4ac2MPU23U2vUWDVNbWoz8VAZgAlSUKyozWX8t6iB3a7QH0zq4D9iQEg9Vgfx97BBZX1aGxuVd/c9BYA5jgCWSWTGUz1Nuc4KuvLgk35/1ml0wyg0gTaaJAQafRtQY0SALbahe6yKxRYyvRvvCkCsQHOaKlreXXUzqmxpRXKdyr2AfQPBoDUY7mOALCoukFd3BxlNKiLjvVCeRynNJABVLJsURGGgH9IdETJAFbrNAOotoCJNPq8otoUYVQ/nPSUXaHAcxaABD6zrywnKbNoY52zJ5T1f5Lk++ItknFUqccyEqIRZTSgxS6w+1Q1ALloIJhtS3oiR0NrAJVsVayP16p5IzlOzgDqdQ1gY4t/KoAVXAdInlDX/wUlAJQzgCU1+vmSUq80gY6K0N1nil4wAKQeMxoktYBi+0l514pgvLl5yzkFHPwMoDL96+tqVW8kKvvd6jQAdLaA8c+YKtmVUh1lVyjwnE2gA9cCRpGdpJ1lLp5iBbD/MQAkryjrAP93RG5erMcAUCkCKa5pQHOrvYuj/ctf7Uq8YY6WpzitNn2ucfPXPsAKZ3aFASB1TFl/F8gKYEU/R8/WExXWgP/tnqq3OTOA5B8MAMkr5/dPBQDkl8m967ISA//t1lu94k2IijDALoL/Ie7vbFVPKG/AtTrcSQBw7gJiivDP210mA0DyQDC2gVP0S5W/5B4v108GUG0BwwIQv2EASF65dFi62++DMsxBOpOeMxgk5CRpYx2gkgHU0qJnZQrGqtNG0LYWOQMY5a8A0PGlp4RTwKr9RRa8t/0U7Ha2xlEEYxs4hZIBLK9rQm2jPpZyKDMOWloPHWq08ylDujQw3YxrzssBACTHRuKiQWlBPqOeydFIJbBSBBKjoTc9pcpVrwFgkyMA9FsG0BEAcg2g04LlO/C7d3ej/z2foN/dH+NwaW2wTynogrENnCIhOlLNVB8q0cf/C2YA/Y8BIHnt8WtH4fO7puLL305TW6rojVZ6Abq2LNGKeMcawFqdBoDODKB/xlRZ9lBUzQAQACyNzThe7r7W7K1vCoN0NtoRjG3gXA3Plvc93+fYa1zrrE1sAu1vDADJa5IkYVCGGclx2mhc3BNa2Q3EOQWsnQAwjhnATmmpiEgL8tvJ9uWX6SPr5C+Nza3qTknBKAIBgGGOAPBAsV4CQGUbOO28F4YaBoBEcFYzHztTF9Tz0GIbGLPOA0CbowjEX2sA08wmmBxFREXVwW8lFGz5pfJraOqgNLz3i0kAgCNlwX1dBZtSABJlNCApNjg7JQ3OlNdnH9TLFLCNGUB/YwBIBJdvxyW1Qc3iaDEDqEwB1+k0AFQzgEb/vN1JkqQufSjQQDPxYFMaYmcmmJDnKD4osTSqU/Hh6EydowVMEBvlD3YU6B3VSTBeb2MG0N8YABIB6JsSC7MpArYWe1CzFVouAtFrGxgl8DD5sbJaySAXVjIDaHFUmZqjI5ESF4WoCAOECO8iGaUAJJh9UpWm/bVNLep0tJYpXzhjmQH0GwaARJBbwQzvLWcB95yuCdp5aLEPoNkkT1k1tdh1mcVRMoBRfsoAAkCu48OVGUDnFwVztLyFl1IkUxzGfRLL64IfAMZGRajbFuphqUI9i0D8jgEgkcPo3CQAwO7C6qCdgxZ3AnHdikmP6wBtrUoG0H9jqkwBF+poqy1/sTQ4M4CAs1F2cY32gw5/qa6Xp8WTg7T+T5GdJP+/OK2BbS+7YuUUsN8xACRyGJ2TBADYfaq627f1VcNbZwConZdmhNGgBqR6nAa2BSAD6JwCZgCoPEcSHGtH2SfRuY92cmxwOyX0djS8L9JBMM4+gP6nnU8ZoiBTMoAHimvVb+ye6Hf3x+h/zyf4vgeBY1tNGlwDCAAJMfKbsEUnuwio7K3Irv4OVxg2o3/dDsDe6pc/k8sAUFXb6J4BVKYdq+p19tzxoWpHVjQx6BlAOQDURQawiXsB+xsDQCKH3kkxGJqVgFa7wOrviz26jet08f99fdzrc9BiFTDgzFxUdSMwDrr9q4CnR+COY3fi2ah/4uo9vwCeHiFf7mNKAFhV36ybrbb8RfngVoqHUhzPnco6HT13fEz5QpkUo40M4GkdrAFUp4BN2novDCW6CACXLl2K8ePHw2w2Iz09HXPnzsWhQ4fcjmlsbMSCBQuQmpqK+Ph4XHPNNSgtLe30fufNmwdJktx+Zs+e7c+HQhr3w9FZAIANh854dPxn+0rUf5+qqsfJCiseXr2/x9stabEIBHAGgJVWnXyI718FvHMrYClyv9xSLF/u4yAw3hSBVEem60R5eGcBnWsu5Y+XlHjHc0dPXx58TJkCDlYPQIUSAAa74b0nOAXsf7oIADdu3IgFCxZg69atWLt2LZqbmzFz5kxYrc7thu666y589NFHePfdd7Fx40YUFRXh6quv7vK+Z8+ejeLiYvXnzTff9OdDIY27cKC8l/EXB0pR1UWwI4TAJ3ucmcLvT9Xgosc24D+bjmPey9+ofay6o0GDjaAB5/ZVSjsLTbO3Amv+CKC9dZlC/llzt8+ng4dmBb+KXAuUZQzKmkslA9jV6ymUKVPAwQ4AlX6n+4tqevT+FEhKI+hYjS2HCSW6CADXrFmDefPmYfjw4Rg9ejSWLVuGgoICbN++HQBQU1ODl156CU8++SQuueQSjB07Fi+//DI2b96MrVu3dnrfJpMJmZmZ6k9ycnIgHhJp1PDsBHXHiOXfFHR67KmqBpyoqEekUW7s2upSCFJc04hdBdXd/vta7AMIOLevUhraatrJzWdn/tqynJaP86FROYkAgD2nq316v3rTNgOobBGpm+yxH6gZwCBPAfdJiUXvpBg0twr88vUd2HK0AkL4poDNl5pbnS2nuAbQf3QRALZVUyN/w05JSQEAbN++Hc3NzZgxY4Z6zJAhQ9CnTx9s2bKl0/vasGED0tPTMXjwYPzyl79ERUVFh8c2NTXBYrG4/VBoMRgkPHTlcADoch3giQo5A90vNU7N/rg6Vm4967KuqFPAEdoKAJ0ZQB1UctZ6tn7T4+M8pASAuwvDPAPYpuraWQQSngGgEMK5BjDIGUBJkjBlYC8AwMbDZ3DD/21F3pJPMOzeNZj+xAa89U2BJgLCOpduA8pOROR7ugsA7XY7Fi1ahMmTJ2PEiBEAgJKSEkRFRSEpKcnt2IyMDJSUlLRzL7LZs2fj1Vdfxbp16/Doo49i48aNuOyyy9Da2v7U0NKlS5GYmKj+5Obm+uxxkXZcMiQDgLxpemdZi5MV8lqvPimxGJgef9b1x850PwBsbFEygNp6aSoNbEv1MAVs9Wz9psfHeWiko43Q4dJaNZMbjtQA0JFJV9aPVjc0u2XJw4XV1ooWx+MOdgAIAAsvGYiZwzIwNCsByq509bZWHD1jxd0f7EHekk/wVhezH/6mdBuIjTIi0o/tm8Kd7kLrBQsWYO/evdi0aZPX93X99der/x45ciRGjRqFAQMGYMOGDZg+ffpZxy9ZsgSLFy9Wf7dYLAwCQ1Ca2YT+veJwrNyKfUU1uPCctHaPO+HI8PVNjcPPL+qPj3YXwSABt0/tj39vPKZmCLtDq0UgfVLkPV2PletgH9HYVN8e56HsxGj0ijehvK4J+4osGNs3/JaTCCGcW+85sthK0CMEUNPQrGYEw4WS/YuKMGhibW9uSixevHUcALlHZnWDDZaGZjy/4Rje33EKAHD3B3sweWAvtbo90CwNSi/J4AfMoUxXofXChQuxevVqrF+/Hjk5OerlmZmZsNlsqK6udju+tLQUmZmZHt9///790atXLxw5cqTd600mExISEtx+KDQpU7r7izqe5s937Bl8TkY8MhKi8cXii7Dpj5fg4sHpAIAvD5ahrNbzKVO7XajZE60FgIMz5Y3kSy1N2t9HtL7jZRw9Os5DkiRhpGM7wX1F4TkN3NzqzPApGcBIo0FtCh2O6wCd6/8iISkpN42IijAg3RyNgelmPHHdaDx+7Wj1ure/LQzaeSkZQKX/KPmHLgJAIQQWLlyIFStW4Msvv0ReXp7b9WPHjkVkZCTWrVunXnbo0CEUFBRg0qRJHv+dU6dOoaKiAllZWT47d9KnoVlywHOguJMAsFRu9XKOY/p3YHo8spNiMLZvslq5ds8Hez3eP7fJ5TgtZApcubY5OdmDzGZABSkDCADDs+V1gPtOh+f6YKUABABMEc6Pl3BeB6iVFjCe+NHYHPzzxjEAgBU7TwdtPaCynWBijPbHTM90EQAuWLAAr7/+OpYvXw6z2YySkhKUlJSgoUHuZZSYmIj58+dj8eLFWL9+PbZv346f/OQnmDRpEs4//3z1foYMGYIVK1YAAOrq6vD73/8eW7duxYkTJ7Bu3TpceeWVGDhwIGbNmhWUx0naMThTzuQc7KCfn63FjmJHQUS/XnFu10UaDbj5/L4A5HYyg/78Kf784Z4u/2aDy7oxrWUAAec5XfHP/2lioXiHgpQBBJxtNg6UhGcA2OTyHHbdei+cK4GrG5QCEH1Mfc8YmgFThAGnqxtwuDQ4Sz7UDCCngP1KFwHg888/j5qaGkybNg1ZWVnqz9tvv60e89RTT+EHP/gBrrnmGkydOhWZmZn44IMP3O7n0KFDagWx0WjE999/jyuuuAKDBg3C/PnzMXbsWHz99dcwmUwBfXykPUMcU55Hz9ShufXsDF5ZbSOEkD/kUttZ03TVmN5uv7++tQDvfNf5lEqDS/80o0FbU0UAMDEvRf33lqO+D558Jq79NZs9Pq4bhmU5vzi0tPO8CXVKBjDSKMHg8hwO516ArlPAehAdacQEx2v963zfFkp5Sl0DqJMx0ytdTLB7km2Ijo7Gc889h+eee86j+4mJicFnn33mk/Oj0JOTHIN4UwTqmlpwvNyKQRlmt+tLauTsX0aiqd11PUOzEvC3q0binhXOzN9ne0tw3biOi4Ya1W3gtPm97I+XDcEHO08DAPYW1eACRzsJzTF7uITD0+O6oU9KLOKijLDaWnG83Ipz2jxvQp2tTQsYRXIY7weslRYw3TF9SDq+zi/H6u+L8bML+wf87zszgLoIUXRLm580REEmSRIGpDkqX9tp51LimP7NSojp8D5unNgHW5ZcghdvGQsAWHewrNM2GEoFsNaaQCsyEqKx4OIBAICCSg1vd9b3AiAhu/NjEnrLx/mYwSBhiFJA1Mn60VDVtgWMItkR/IT3GkB9TAEDwJxRWYg0SthVWI2pf1+PP773PZpaAtfaSFkDyAygfzEAJOpAn1Q5ACyobCcAVDOA0Z3eR1ZiDC4ekg6zYz/Lv6zc2+GxyhusFtf/Kfo42kIUVmp4L1GDEZj9KACp3c3gAAmY/Yh8nB+McKwD3NmDnWD0rm0LGIWSAayoC8MAUCPbwHVHujkad0yVM38FlfV4+7tCrNnbcU9dX7M0sg1MIDAAJOpAX0ew0162S9kSTdkirTORRgNud7yZvvlNAWo6mAZrsGlzH2BXuclKAKjhDCAADLsCuO5VCHObTGBCb+C6V+Xr/WRsP3n91K7Car/9Da3qKAPYy/E6KdfDVoI+prRN0lsw87uZg/Hpby5U17WuO1AWsL+tjhnbwPgVA0CiDijZrhPlZwc7SiYjNd6zaZ07p5+D/r3iIATwzYnKdo9RikBMGg4AlYrngsr6gE4J9ciwK1D785243vZn3GlbiOabPwIW7fFr8AcAo3rLrWD2F1vaLSAKZcpzom0AmJEgZ8pL9bCVoI8p25qZdbaeTZIkDM1KwENz5a0xvzxYpi5T8TfleZJu7nyGhbzDAJCoAwMz5P5++WVnt4Ip70YGUDFpgNx3rqMKWqUIJEajRSAAkJUYjYToCLTYBY6UaX9XkCYBbLUPw0fiAkQMuNBv076u+qbGwhwdAVuLHYdL228jFKqcU8BtA0DHXtK14ZcBtNrkADAuSl8BoOK8PsnonRSDuqYWbD0WmOp/JQBUvjiQf2j3k4YoyJTK31JLk1rJpyiqltfAKXvkemKyo2p2/aH2p1IamrW/BlDJCgDAgWLtBzdNzc6q1EDtwiBJEkblyFnAPafCa0cQWwdTwBmOTE6l1ab9zLGP1TU5AkCTPgNASZIwxfHetfloud//XlNLK8odMyyZXayxJu8wACTqQLwpAjnJcpXvIZeG0PW2FjX7pTT+9cTUQWkwGiQcL7fidHUD/vP1MVz/4hZ1PZ1VJx8USgCoh+yW0peubUbK30b2TgIA7A6zALCpgzYwSbGR6mVnwiwLqLyu4zX+uu7M+QPkda3/9/XxDr/AekMIgU/2FGP+sm/xznfyfsRxUUa1epz8gwEgUScGO7KAh1yCnb2nLbALeVqrO1MU8aYIjHCsD/vfkXI8/PEBbD1WiWfW5QMAatXKN21/UCiZ0UMd7JKiJWoGMCKwWdURvZWG0OHVCkadAm6TxZYkCemOaeBSS7gFgHLGM86k3cx+Vya79Pz8ycvf4qb/bMUX+0uxZm9Jt/Y7b48QAo+sOYhfvbED6w6W4S8fyp0SzuubrLm9k0ONtj9piIJscKYZ6w6WqcFOQUU9rvv3FgDAqJykbt/flIGp2F1YjT+89716Wb4jm6hMFZk1Xi04OFNeG6mHADBYGUAlSD5SWgchRNh8kCnj3TYDCMjruU5VNaAsjApBhBDqGsB4jX+x60y6ORrLfjIe817+FgDwvyMV+N8R9/WAd80YhOvG5yDdHN2tnYz+8N73eHf7qbMu/+GoLnp5ktf0+4wkCoDBme7Zrpc3H1evG+1Y59Uds4dn4bn1R90uO1BkQVNLK2od3e+1PlWkBDcllkbU1DcjUcPTNMretIEOAPulxiHCIKG2qQUllkZkJXbcMDyUdDbeGWoGMHwCwHpbK5QNqLT+uu7KtMHpOPHI5Xhl8wms2l2EwyW1qHV8aQWAp744jKe+OIwJ/VLwzi8meXSfza12rNpdBAD40dgc/PWqEdhfZEFKXBT6psZ1cWvylr6fkUR+pgaApbUQQmCHS3Pf6yf06fb9jcxJxKT+qdjiUk1na7Vj7+kadQpY6+0izNGR6J0Ug9PVDThYYsHE/qnBPqUOqRmpAAeAUREG9OsVhyNldThcWhc2AWBnGVelpUdpGK0BVNb/GSRt9/fsjtsu6IfbLugHAGhptWPdwTL8/LXt6vXfnKjEsTN16J8W3+V9HT1Tp64bfexHoyBJEsb0SfbLedPZuAaQqBP9e8XLmZzGFhTXNOKYY7p27V1T1ea23fXmHefjqR+Pxt+vGYVLh2UAAK55fgtWf18MQB+ZgiGOwHjPaW0XOShrAAOdAQSAQUobIR0Uy/hKR1XAQHj2AlQrgKMiQnIZQITRgFnDM3Hikcvxzs+dWb/5r3zn0e0POLZLnNAvJSTHR+sYABJ1IirCgP6OPYG/O1mlTnlkJ3mX0blqTA6uG5+rdtl3pfU1gICzp+GXBwO3O0BPBCsDCADnpMtBsh6qpX2lo51AAJdegGFUBOIsANH+lzpvTchLwUNXyk2jj5dbUW9r6eIWwP4iOQAcmmX267lR+xgAEnVBWfO2wRHsJMZE+uwNPa/X2etclGpJLZs2OB0A8N2JKo/e6IOlo71pA0F53hwu1X7DbF/pqBE0EOYZQB1XAHfHzef3VQP9K//5PwjR/m7cCqWX6NB2vgiT/zEAJOqCMt254fAZAPJuGL4yrl8yIo3uUx++vH9/GZAWh95JMbC12vF1fjlOVWlzb+COtiYLBNcp4K4+CEOFJxnAcAoAQ6EHYHdIkoSFl5wDQO5u8Os3d3Z6vJIdV9ZaU2AxACTqgpLJqbTK3em9nf51lZMci01/vASfLZqK2Cgj0s2mbm0vFyySJGHqILk32M9f244pj67Hyl2ng3xWZ+ssI+Vv/XrFIdIowWprxamqhoD//WBwNoI+O+OV7sgAWhpbAranbLCp28CFSQAIALec3xezh2cCAFZ/X4wj7WylCQCWxmZ1a8AB6V0XjJDvMQAk6kLbb6d9UmJ9ev8ZCdEYnGnGmt9Mxeo7pyCinR5qWjR9SIbb7499dihIZ9KxzjJS/hZpNGBYttwq6JvjlQH/+8HgbAR99nibTRFqJay3zYP1Qu/bwPXUC7eMxXDHLkmL3t7V7jFHHQV1GQkmJOhg3XMo0scnDVEQ5SbHurVwULaH87U+qbFqqww9mD40Hb+4aACiHR/2iTHaexPvaGuyQJl6jpwl/Xx/SVD+fqB11ghakiR1GrikJjwCwHCbAna1aMYgAMDB4lpUWW3YfrIKr209qS6H2O+oAFZmWCjwGAASdcFgkNT1XIDvM4B6JUkS7r5sCD5aOAWAvEuK1ta6NXWSkQqEWY6psK8Ol6OxOfSnPW1drLlUpoFLwmQdYF0IbAPXU5cOy0BMpBEtdoExD63FNc9vxl8+3Iu8JZ8AAPY6WkiN7N39hvrkGwwAiTzgukZlZA92AAlluY6AuLapRV0nqRW2TtakBcLw7AT0TopBQ3MrNuWXB+UcAqmpizWXSiXwmTBpBq0E/bFR4ZcBBIAHHG1h2vrNWzux97ScARzBADBoGAASeeCmiX2RFBuJn07OC5tdHTwVHWlEpuOD/WSltqqBlSrgYGUAJUlSm32HwzRwZ42gASDDHF6VwEqxS3SI7ALSXdeNy2338pW7itQm8swABk94fi0h6qaxfZOx696ZwT4NzeqbGosSSyMKKupxnoa2crIFeQ0gAMwcloFlm0/giwNlaLULGA2hu+NBV1XXmYlKL8DwyAA2ODKAobINXE8cXzoHGw6dwfDeCYgyGnDug2vV6wyS/9ZUU9eYASQir/VNlaeBT1ZoKwPYWVVqoIzPS0G8KQKVVhvyO2iJESqaumi8HW5rAJ0BYPh+1EqShIuHpCPdHI2k2Cis++1F6nX/vmUct4ALovB9VhKRz/RNlXc0OVlhDfKZuAt2FTAgt4NRprl2F1YH7TwCwdMp4LIwCQCbmsN7Crg9A9Li8fldU/Gvm85Tl0dQcDAAJCKvKRnA4xoLAIPZCNrV6NwkAMCuUA8Au9h7Oc0RAJbXaatYyF/UDGAUA0BXgzLMmDMyK9inEfYYABKR1wY7enkdKqlFsyMI0AK1CCQIewG7OlcNAGuCeh7+pmS8Ogq4lQCwrqlF03tI+0q4F4GQtukiAFy6dCnGjx8Ps9mM9PR0zJ07F4cOue860NjYiAULFiA1NRXx8fG45pprUFpa2un9CiFw7733IisrCzExMZgxYwby8/P9+VCIQtKAtHikxEWh3taKFzYcDfbpqLrKSAXKiN7yrghHymrVrGQo6mq8400RauPw8trQzwI2NMvjEc5FIKRduggAN27ciAULFmDr1q1Yu3YtmpubMXPmTFitzummu+66Cx999BHeffddbNy4EUVFRbj66qs7vd+///3vePbZZ/HCCy9g27ZtiIuLw6xZs9DYGB7rU4h8xWCQ1GngJ9Yexmf7tNHypKlZG1PAvZNikBoXheZWgZ0FVUE9F39SxrujNZeSJKlZwDN1of8+28g1gKRhuggA16xZg3nz5mH48OEYPXo0li1bhoKCAmzfvh0AUFNTg5deeglPPvkkLrnkEowdOxYvv/wyNm/ejK1bt7Z7n0IIPP300/jzn/+MK6+8EqNGjcKrr76KoqIifPjhhwF8dESh4b4fOpu+/vy17WdNBZ+ubsDKXadxxLEHaCBoJQMoSRLGONrj/PjFrVj8zq6QnAJVim46C3jS4h0BYBhkABvZBoY0TBcBYFs1NfI6mpSUFADA9u3b0dzcjBkzZqjHDBkyBH369MGWLVvavY/jx4+jpKTE7TaJiYmYOHFih7dpamqCxWJx+yEi2bm5SVh++0T190Vv70JLqx1VVhtu++83mPzIl/jNW7sw48mNKK8LTB84ZwYw+B/AFw3qpf77gx2n8cbWgiCeje+12oUacHcaACoZwNrQzwA6i0B0+VFLIU53z0q73Y5FixZh8uTJGDFiBACgpKQEUVFRSEpKcjs2IyMDJSXtT0Upl2dkuJehd3abpUuXIjExUf3JzW2/yzlRuJrUPxXDsuT1bmv3l+KyZ77GmIfWYuPhM27HXfnP/wVk32CtZAAB4JZJ/fDzqf3V39/8JrQCQNe1jZ1NuTungEM/A8giENKy4L8rdtOCBQuwd+9evPXWWwH/20uWLEFNTY36U1hYGPBzINIySZKwauFkAHJAkO8y3TtreAaW/WQ8AHk6+JXNJ/x+Pl31pQu0JXOGqlnS09UNAQmCA0WZ7gS6CADjlf2AQzsDaLcLdUqcU8CkRdp4V/TQwoULsXr1aqxfvx45OTnq5ZmZmbDZbKiurnY7vrS0FJmZme3el3J520rhzm5jMpmQkJDg9kNE7iKMBozKce7vaYow4Lkbz8Oj14zCtMHp6ofh/R/t9/u5KG1ggtkIuq2xfeW1gE0tdhTVhE4QpAQ7EQYJEZ2Mt3MKOLS3g2tyyYgyA0hapJ13xU4IIbBw4UKsWLECX375JfLy8tyuHzt2LCIjI7Fu3Tr1skOHDqGgoACTJk1q9z7z8vKQmZnpdhuLxYJt27Z1eBsi8syF5zjXu80ZmYXLR2UhKTYKAPDSbePU61yzRv6grAGM1tBWXKYII4Zkyn0T950Onb6Anla8hksA2ODy3GYASFqknXfFTixYsACvv/46li9fDrPZjJKSEpSUlKChoQGAXLwxf/58LF68GOvXr8f27dvxk5/8BJMmTcL555+v3s+QIUOwYsUKAPJU1aJFi/Dwww9j1apV2LNnD2699VZkZ2dj7ty5wXiYRCHjjgsH4Jbz+2JiXgpuu6Cf23WTBqQiK1GeBtx2vNKv59HYos01WMOz5Qzp/uLQKSRrbOm8CbQi3ALAqAgDjAbud0vaExHsE/DE888/DwCYNm2a2+Uvv/wy5s2bBwB46qmnYDAYcM0116CpqQmzZs3Cv/71L7fjDx06pFYQA8Af/vAHWK1W3HHHHaiursaUKVOwZs0aREdH+/XxEIW6xNhIPDR3RLvXSZKEKQN74d3tp7D5SDkuGpTml3NotQs0t8pr7ILdB7CtYdkJeH8HsK8odAJAZ7bVwwxgXROEEJCk0AyOlAIQrv8jrdJFAOjJQuno6Gg899xzeO655zy+H0mS8OCDD+LBBx/0+hyJyHNTzpEDwE/3luAPs4f4JUNi0/AarOHZ8vrh/SEUADZ2sQ2cole8vBSguVWgpqFZXRoQapxT4tr68kGk0EUASESh5dJhGUiMiURBZT3mPvc/GA0SMhJM+NdNY30WDHpalRoMQx2tck5XN+Cut3fhwnN64erzcrq4lbYpRQ+mLoJtU4QRSbGRqK5vxpnappAPAJkBJK3S1rsiEYWF2KgI3HJ+XwDAntM12FVYjc/2leK97b5rreRpVWowJMZEIic5BgCwYudpLH5nNyyNzUE+K+90J+Pl3A0kdNcBNnAbONI4bb0rElHY+PlF/XHludk4r0+Setln+0o7vkE3eTolGSy3Turr9vv3hfquCFYzgB6Mt+s6wFClrgGMYgBI2qTNd0YiCnnm6Eg8c/0YfPCryViz6EIAwP+OlKsfnN7yZF/aYLpj6gB8ftdUDEyPBwDsKqwK8hl5x9M2MEB4VAI3cAqYNI4BIBEF3eAMM7ISo9HUYsfWYxU+uU+tZwABYFCGGTdM6AMA2FVYHdyT8VK3MoBhMAXsaVU0UbBo952RiMKGJEmIdUyVLX5nl0/uU+sZQMW5uUkA5ABQz1vDMQPojhlA0joGgESkCZePzAIAVNU3+2SHEHUbOA1nAAG5JUykUUJ5nQ2nqhqCfTo9xjWA7lgEQlqn7XdGIgobCy85B+ZouTPVlEe/xJOfH8Ljnx3Ci18d7VFAqKwl1PoHcHSkUW0Lo+dp4KYeZADLLKEbANY7nn+xLAIhjWIASESaEBVhwJ/mDAUAlNfZ8OyXR/DP9Ufwt08O4p4P9gAANh8tx+HSWo/ur66pBQDUoFLLlGngzUcrdDsN3MgMoJsGm/z8YxUwaZX23xmJKGxcP6EPTJEGvPVNIaIiDGhsbsW3J6rwwc7TiI+OwKtbTgIA1t41FedkmDu9LyUAjDdp/21uhGNv4De/KcDJCiuW335+F7fQnu5kANPN8nablVYbbC12zU/T90Q9t4IjjQu9Vx0R6dpVY3Lw9s8n4bX5E/HuLy5AYkwkAKjBHwC8suVEl/dT26ifAPDiIenISpSDos1HK7ApvzzIZ9R9jc2eZwCTYyPVoK/U0ujX8wqWBk4Bk8YxACQiTfvnjWPOuuxrR4BU29iMY2fq2p02dU4BR/r3BH0gzWzC//54CaYOSgMAbDqivwBQKbrxJAMoSZIa8BbXhGYAyDWApHUMAIlI0y48Jw07/nIpll49Ejv/cimMBgknK+qxv8iCix7bgEue2Ih/bTh61u3qlAygDtYAAoDBIOEHo+RK6B0n9dcUWs0AejjlmZmgBID6rXzuTL3SBiZKH88/Cj8MAIlI81LionDDhD5IjotCv9RYAMCcZ79GpdUGAHjnu7P3EFYzgDqYAlaM7ZsMANh9qho2R1GFXigZQE8bb2cnyXshl4RoBrCRGUDSOAaARKQr5/dPPeuykxX1sDQ2u11W6/hdLxlAAOjfKw7JsZFoarFjf7El2KfTLY3d3PkiM9SngJtZBUzaxgCQiHTlz5cPw+SBchCYGBOJ6Ej5bezcBz7H4rd3QQiBVrtAqaPHnB7awCgkSVKzgN+dqMTX+WdQVquPAKmxmxlA5xrAEJ0CVjKArAImjdLPOyMREeSMyhs/Ox+FlfWIijBg6ScH8OGuItgF8MHO07h+Qh88uy4fe07XAABS40xBPuPuGdcvBV8cKMPDHx8AAIzKScTKBZMhSVKQz6xz3d37VlkDGKpTwM4qYH7MkjYxA0hEupSbEouMhGj8fvYQt8uf33DErYo2zRwV6FPzytRz0tx+//5UDb4/VROks/FcdzOAyhrAkJ0CVvoAcgqYNIoBIBHpWu+kGBx8aDZ+fclAAMD6Q2fcrs9KjAnGafXYsOwEXDIk3e2yz/eXBOlsPNftDKBjCvhMXZPuCl66IoRAvWMnkDgTA0DSJgaARKR70ZFG/HB09lmXXzIkHXE6qgJW/PPGMVh69Uj8ftZgAMCe09ovCOluFXBKbBSijAYIAd2sc/RUva0Vza1yb8qkGH1loCl8MAAkopAwqM3WcB8umIwXbh4bpLPxTmxUBG6Y0AdTBvYCAOw5Va35PYK7u/WZwSCpWcBQWwdY3SBXoEdFGNQiJSKt4TOTiELGiN4J6r9H5yTqfo/ZIVlmRBolVNU34+gZ61mtbrSi1S7UALA7VddKAFgUagFgvdyfMjEmUvPFOxS+9P3uSETk4uG5IwEAt1+YFxIfvKYIIwZnypnNGU9uxMWPbdDkdKnSdBvoXt/FLDUDGFqtYGrq5UA9KUb72xBS+GIASEQh49zcJJx45HL86fJhwT4Vn5ky0FkVXGG14f3tp4N4Nu1Tmm5HRRhgivC86CFUm0ErU8BJsQwASbsYABIRadjPLsxD/7Q49feVu7QXACoZwIRuNt3OdlRoF1eHVgBY4wgAE1kAQhrGAJCISMN6xZvw5W+n4bs/zwAAHCypRZVjD2StqG2UA8D4blZcqxlAS2gFgBV18i40ycwAkobpIgD86quv8MMf/hDZ2dmQJAkffvih2/WlpaWYN28esrOzERsbi9mzZyM/P7/T+1y2bBkkSXL7iY6O9uOjICLquV7xJpyTHg8A2Ha8Mshn467OEQCao7sX8KjbwVWH1hrAwkr58eQkxwb5TIg6posA0Gq1YvTo0XjuuefOuk4Igblz5+LYsWNYuXIldu7cib59+2LGjBmwWq2d3m9CQgKKi4vVn5MnT/rrIRARee38/vIeyI98egDXPL8Zj645qIn2MEp1cnczgMpuIKHWDLqwqh4AkJuirybkFF500SH1sssuw2WXXdbudfn5+di6dSv27t2L4cOHAwCef/55ZGZm4s0338TPfvazDu9XkiRkZmb65ZyJiHzt/P6peG3rSZyoqMeJinpsP1mFy0dmYUTvxKCel8WRAUyI6d5HSmpcFKIjDWhstqO4pgF9U+O6vlE7mlvtOF3VAIMkISc5BgZD8CrAK+qasLuwGgDQPy0+aOdB1BVdBICdaWqS11q4Tt8aDAaYTCZs2rSp0wCwrq4Offv2hd1ux3nnnYe//e1vahDZ0d9S/h4AWCza785PRKFj8sDUsy779kRl0ANApQq4u1PAkiQhNzkW+WV1OFlR36MAsN7Wgkuf/AqnXaaR+6fFITrCiKgIA8osjWixC6TGm/DfeeP8ujVgY3MrJi39ErZWO1LiojA0y9z1jYiCRBdTwJ0ZMmQI+vTpgyVLlqCqqgo2mw2PPvooTp06heLi4g5vN3jwYPz3v//FypUr8frrr8Nut+OCCy7AqVOnOrzN0qVLkZiYqP7k5ub64yEREbUrKTYKL902Duf1SVIrgw+X1gb5rABLg1IF3P2iByXoO1HR+ZKdjvzi9R1uwR8AHDtjxf5iC3YVVqOophFltU04UGzByl1FPfobgFzZe/+qfdh+suP1l3/75ABsrfJU9ou3jO1WSxyiQNN9BjAyMhIffPAB5s+fj5SUFBiNRsyYMQOXXXZZp2tjJk2ahEmTJqm/X3DBBRg6dCj+/e9/46GHHmr3NkuWLMHixYvV3y0WC4NAIgqo6UMzMH1oBj7aXYRfv7kTB0uCHwA6M4Dd/0jpnxYHHACOl3c/AKxpaMbWoxUAgL//aBSmDU5DcXUjGptbUeXYjSMpNgpf55/Bc+uPYvPRCvziogHd/jsA8NLXx7Bs8wl8vq8Em5dMP+v6o2fq8NpWeR35H2cPwbh+KT36O0SBovsAEADGjh2LXbt2oaamBjabDWlpaZg4cSLGjRvn8X1ERkZizJgxOHLkSIfHmEwmmEwmX5wyEZFXhjh2CDlcUgu7XQR13ZtFrQLu/kdKP0cGsCcB4Gd7S2BrtSM7MRrXjZO/jKebz+7mYI6OwHPrj2JnQVWPx+rLQ2UA5G3rTlXVn1Xh+8vXt0MIINIo4fYL87p9/0SBpvspYFeJiYlIS0tDfn4+vvvuO1x55ZUe37a1tRV79uxBVlaWH8+QiMg38nrFISrCAKutVa06DRYlA5jQg63P1KnsHmQy1+wrAQDcOLFPp8cNyjDDFGFAbWNLj6aahRA4We4c4+0nq9yuP3qmDodL6wAAj/1oNCKMIfXRSiFKF8/Suro67Nq1C7t27QIAHD9+HLt27UJBQQEA4N1338WGDRvUVjCXXnop5s6di5kzZ6r3ceutt2LJkiXq7w8++CA+//xzHDt2DDt27MDNN9+MkydPdlo0QkSkFRFGAwZlyFWm+4uCW5CmNILu7k4gADCydyIMkpxZK+nGlnDNrXZsPSZP/04bnN7psZFGA4ZlJwAA9pyuwUubjuPPH+5RGzZ3paq+GbUu+x3/5q1dmPr39TjlCLzf/c65dvzyUUwikD7oIgD87rvvMGbMGIwZMwYAsHjxYowZMwb33nsvAKC4uBi33HILhgwZgjvvvBO33HIL3nzzTbf7KCgocCsKqaqqwu23346hQ4dizpw5sFgs2Lx5M4YNC509RIkotA3NlIMab4obfMHi2PqsJ0UgcaYIDHE8jh0FVV0c7fT9qWrU21qRFBuJYVkJXR4/OicJAPB/Xx/DQ6v34/WtBXhl8wmP/tbJdrKGBZX1eG2LvOZvhyMj+NiPRiGS2T/SCV2sAZw2bVqnBR133nkn7rzzzk7vY8OGDW6/P/XUU3jqqad8cXpEREFxjiMDuGZfCZpb7Yg0GlDb2Iy3vinE8N4JuGBAL5/8nTe/KcB3J6rw16tGIDry7MrW2h7uBKI4r28S9hdbsHLXafRNjcWQzAQYu1in999NJwAAF56T5tGavpGOVjl7Tzuzpf/ZdByLZw7Gtycq8cvXd6BXfBRemjcevZPcW8UUVslVxv17xaGopgGNzXKl78GSWgghcKBYvs9gt+Mh6g5+VSEi0qlrzstR/z3oz5/iRLkVj645iL9+cgC3vPTNWe1ReqK51Y4lH+zB+ztO4ZM97bfWsnhRBQwA4x0Vs5/tK8Xlz27C018cbve4b09U4vJnv8bkR77Ex45zufq83h79jVE5Zwdn9bZWDPrTp7j2hS0or2vCwZJafLjz9FnHFTnGcXRuElb/egru+6E8U1RYVY9TVQ2obWpBlNGAgels/Ez6wQCQiEinUuNN+NFYOQgUApj2+Aa8vlVeG91qF3jn20Kv/8bRM3Xqv0+0U6nb0mpHva0VQM+KQABgzsgszBnp3JXp4+/bDzQfXr0f+4osamB76bAMXHROmkd/Y2B6PEbnJgEALhqUpu6rrPTtU+w5VYNrnt+MH/5jk7q2UlmbmJkYjYHpZkwfkgEAOF3VgL2nawDI2VhO/5Ke6GIKmIiI2vf4taNxyZB0LFy+A/Y2K2Xe/rYQd106yKv7dy0wOdRO02ll+hfoeQYw0mjAv24aizO1TRj/1y9wrNyKUksjMhKcLV1q6pvxvSPY+tdN52FoVgLyenm+c4gkSVi5YDLqbS2IjYrAnlM1+Okr3yI60oBF0wehobkVf/5wr1pZDAA/WfYNttw9Xc0AZifK55OVFA2DBDS12LHuoNweZiSnf0ln+HWFiEjn5ozMws57Z2LG0HRMHpiK1+ZPAACUWBrR7+6P0e/uj9HU0tqj+1bWtwHA/uKzq42VADAm0uh1BizNbFIDKaXCV/HNiUoIIbeNmTMyq1vBn6vYKDlIHZmTiG/umY6v/3AJrhmbg8tHnl29W2ppwqHSWhwpk7OgfRw9CyONBnVLuZW75CnjUY4iEyK9YABIRBQCEmMi8Z/bxuONn52PC89JUxtFK1b1sFLYNegrrGw4q1WLt+v/2hrTJwmAvK3avzYcQZXVhuZWO371xnYAwPn9z94PuackyVk8khwXpfYkBACzSX48n+4pxjHH1Ldrlu9cx3Ryc6ucdm1vjSGRljEAJCIKQUrfO8XOwupu34cQQp0CVqpytxwrdzvG1wHg2L7JAOTs29/XHMJTXxzG8xuOqoHWzGEZPvk77bl79hAMy0rAtWNz8JsZ5wAA/rFe3h0qJzkGKXFR6rGTBjgD0agIAwZluAfcRFrHAJCIKAQtvnQQ4k3OoOxQD3baKLE0oqq+GUaDhFsn9QUAbMp3n5pVm0D3sACkrbata7afrFKnWa8Ynd1l02dvzByeiU9+cyEeu3Y0LhokF5coHcjaZvhcA8CcpBhERfDjlPSFz1giohCUkxyLvQ/Mwqe/uRAAcKSsDo3NrVi+rQCFlZ5tHaes/xuYFo8ZQ+XM29r9JWhsdq4nVJpA97QHYFtpZhOGu2Qv9xVZcPSMPAX75x8M9cnf8MTA9HjEuPQ8bLvGr3+vOGQ6ilSUrCWRnjAAJCIKYXm94iBJQE1DM65/cSvuWbEHt7/6XafN9RXKnrfDshNwfv9U9E6KgaWxBZ+5VMp6sw1cR56/aSye+vFot6za4Awz0s3RndzKtyRJwuSBzmzkGMeaP9fr/ztvPG6c2Ae/mzU4YOdF5CsMAImIQlh0pBH9HRWzuxzrAA+W1OKb45Wd3s7WYld7Cl40KA1Gg4Rrx8k9B5e5bKHm7S4g7emTGourxuRgqEshS9s1jYGw+NJBuHRYBv4wezAm5KWcdf2w7AT87aqRbu1qiPSCASARUYib006Lk/WHznR6m29PVKKmoRm94qPww9HZAICbJvZFpFHCzoJq5Dt6AipFIAkxvm8r61pY0dO2L94Ylp2A/7t1HH41baBbxTBRKGAASEQU4q4817ld2rWOnUO+zj87ANxwqAz97v4Ylz65Ee/vOAUAuHhwuloBnGY2qUUYv3xjBwCgVgkAfZgBVAx2yQC6tmghIu9xJxAiohA3MD0eX//hYpTVNqFPSize3X4K+4os2H6yCuf1SYIkSRBC4FeOoC6/rA75jubH04e6V93+fGp/rN1fiqNn6lBYWQ9LgzIF7PuPk/P7p0KSgCijgYUWRD7GAJCIKAzkpsQiNyUWgLylWVFNI655fjNumJCLv101EttPVql7+rqaOsh9r91x/VIQE2lEQ3Mrvjleidom/2UAR/ROxFe/vxjRkUakmU0+v3+icMYpYCKiMHPvD4er/37zm0K8uuWkWiBy2YhMXHOePE18xehsdes0V9dPyAUg7xLiLALxTz4hNyWWwR+RHzAAJCIKM7NHZOKLxRehb6qcEfx4TzFOVTUAAPqmxuGvV43Aczeeh0euGdnu7YdlyRW5+4ssPu8DSESBwQCQiCgMDUyPxws3jwUAHCiyoMDRHDo3JQbRkUZcPiqr3ewf4GzJsr/Ygoo6GwC4bZNGRNrHNYBERGFqQFo8IgwSapta8K2jL2BOcmyXtzsn3YxIo4QaR/YPAKdpiXSGGUAiojAVFWFQ++vVNslr+XKTYzy63cB0Z4sWU4TBpzuBEJH/MQAkIgpjg1x67RkkIDup6wAQcK4DBID0BBMbJRPpDANAIqIwNthlt42B6fGIjjR6dLuhWc7b9UnpetqYiLSFASARURgblBGv/ntEdqLHt3Pdm3doZuD36SUi7zAAJCIKY6777boGdV1xnQIeksUAkEhvGAASEYWxvqlxaj/AmcMyPb5dUmwUbpzYB0Myzbh0aIa/To+I/EQSQohgn4ReWSwWJCYmoqamBgkJ/AZMRPpU19SCelsL0s3RwT4VooDg5zf7ABIRhb14UwTiTfw4IAonupgC/uqrr/DDH/4Q2dnZkCQJH374odv1paWlmDdvHrKzsxEbG4vZs2cjPz+/y/t99913MWTIEERHR2PkyJH45JNP/PQIiIiIiLRDFwGg1WrF6NGj8dxzz511nRACc+fOxbFjx7By5Urs3LkTffv2xYwZM2C1Wju8z82bN+OGG27A/PnzsXPnTsydOxdz587F3r17/flQiIiIiIJOd2sAJUnCihUrMHfuXADA4cOHMXjwYOzduxfDhw8HANjtdmRmZuJvf/sbfvazn7V7Pz/+8Y9htVqxevVq9bLzzz8f5557Ll544QWPzoVrCIiIiPSHn986yQB2pqmpCQAQHe1cvGwwGGAymbBp06YOb7dlyxbMmDHD7bJZs2Zhy5Ytnf4ti8Xi9kNERESkN7oPAIcMGYI+ffpgyZIlqKqqgs1mw6OPPopTp06huLi4w9uVlJQgI8O9dUFGRgZKSko6vM3SpUuRmJio/uTm5vrscRAREREFiu4DwMjISHzwwQc4fPgwUlJSEBsbi/Xr1+Oyyy6DweDbh7dkyRLU1NSoP4WFhT69fyIiIqJACIm6/7Fjx2LXrl2oqamBzWZDWloaJk6ciHHjxnV4m8zMTJSWlrpdVlpaiszMjhuhmkwmmEwmn503ERERUTDoPgPoKjExEWlpacjPz8d3332HK6+8ssNjJ02ahHXr1rldtnbtWkyaNMnfp0lEREQUVLrIANbV1eHIkSPq78ePH8euXbuQkpKCPn364N1330VaWhr69OmDPXv24De/+Q3mzp2LmTNnqre59dZb0bt3byxduhQA8Jvf/AYXXXQRnnjiCVx++eV466238N133+HFF18M+OMjIiIiCiRdBIDfffcdLr74YvX3xYsXAwBuu+02LFu2DMXFxVi8eDFKS0uRlZWFW2+9FX/5y1/c7qOgoMBtTeAFF1yA5cuX489//jPuuecenHPOOfjwww8xYsSIwDwoIiIioiDRXR9ALWEfISIiIv3h57dOMoBapcTO7AdIRESkH8rndjjnwBgAeqG2thYA2A+QiIhIh2pra5GYmBjs0wgKTgF7wW63o6ioCGazGZIkBft02mWxWJCbm4vCwsKwTXN7g+PnPY6hdzh+3uH4eSdUx08IgdraWmRnZ/u8Z7BeMAPoBYPBgJycnGCfhkcSEhJC6sUbaBw/73EMvcPx8w7HzzuhOH7hmvlThGfYS0RERBTGGAASERERhRkGgCHOZDLhvvvu4xZ2PcTx8x7H0DscP+9w/LzD8QtdLAIhIiIiCjPMABIRERGFGQaARERERGGGASARERFRmGEASERERBRmGABS2KupqQnr/SC9deDAAVit1mCfBhERdQMDQB0rKirCxIkT8cQTTwT7VHSpuLgY1157Le655x6cOHEi2KejO6dPn8a1116LcePG4Ysvvgj26ehOaWkpnn76aXzwwQc4fPgwgPDemL67ysrK8NVXX+HYsWPBPhVdKi0txcqVK7F7924+78IUA0CdWrRoEfr164eMjAzcdNNNwT4d3XnllVcwbNgw2Gw2/OhHP0J8fHywT0lXFi9ejL59+6K6uhpNTU2Ii4sDwADGU/feey8GDBiA1atXY+HChbjtttuwf/9+SJLEMfTAn/70J/Tv3x/33nsvRo0ahYcffhgnT54EIO/RTp178MEH0a9fPzz88MOYMGEC7rzzTuTn5wPg+IUTBoA6c/DgQfTu3Rtr1qzB5s2bsWrVKmRmZgb7tHSltbUVb731Fu677z6sXLkSF198MZKSkoJ9Wrrw3nvvISkpCevXr8f69euxdu1ajB07Fp988gkAQJKkIJ+h9r322mv4+OOPsXLlSnzxxRd47bXXYLfbsWXLFgAcw64899xz+OKLL/Dxxx9j9erVeOKJJ/DJJ59g8eLFAOQ92qlju3btwttvv4033ngDGzduxL/+9S/s3r0b8+fPB8DxCycRwT4B6poQQv1QqKmpQUJCAmbPno1x48Zhx44d+Oijj9CnTx+ce+65GDNmTJDPVntcxw8APv30Uxw6dAiffvoptm/fjscffxwtLS0YNmwYrr76aowePRp2u51vhA6u45efn49nnnkGt912GwDAarXCbDajoaEBzc3NiIyMDOapapIyfsp/16xZg7S0NEyfPh0A1P9OmDDhrNuQ+/i1trbi448/xnnnnYeLLroIAPDzn/8cW7Zswauvvorly5fjxhtvRGtrK4xGY5DPXJs++eQTWK1WXH311QCA+fPnIy8vD1dddRWeeuop3HXXXXz/CxP8P6xxNpsNNptN/f3cc8/FXXfdhf/7v//DlVdeiauvvhqbNm3CAw88gJkzZ+Kxxx4L4tlqT9vxA4C4uDgYjUa89957+MlPfoK0tDTk5ubi448/xtVXX42mpia++Tm0Hb+7775bDf5aWloQFxeH/v37Y8eOHYiMjOT0ZRuu4ydJEhobG5GWloba2lrs3LkTFRUVuOaaa1BYWIj77rsPjz76KFpbWxn8ObQdP4vFgpKSEgwaNMjtuOTkZPTr1w+/+93vGPy5UF6PrtO6aWlpiI+PR1VVlXrZlClTsGjRItx3332w2Wx8/wsT/L+sYffffz+mTJmCK6+8Ei+++CIqKipgMpkwbdo0zJo1CxUVFXj//ffxwQcf4MSJE7jllluwYsUKrFixItinrgltx6+yshIAUFdXh+zsbLzwwguYPn06nnrqKTz55JNYvnw5DAaDOpUU7mth2o5fVVUVJElCa2srAKgfspMmTUJZWRkKCwsZuLho7/UbHR2NK664AsnJyfjjH/+I9PR0VFdX49///jf69++Pf//73/jFL34BgM+/tuNXXl6OlJQUjBs3Dv/5z3/wn//8Bw0NDfjLX/6CFStWYPHixYiPj8fy5cuDfeqa8I9//AP3338/AHlaVwkG4+PjYTKZ8OWXX6rHRkVF4YYbbkB6erqaROCXuTAgSHOam5vFLbfcIgYOHCheeeUVccMNN4jhw4eLOXPmCCGEsNvtYtOmTeKbb74RdrtdtLS0CCGEKCwsFMOHDxePPfZYME8/6Loav6amJnHBBRcISZLEK6+8ot7ObreLxx9/XJx33nnCYrEE6/SDrqPxu/zyy9s9/vXXXxc5OTni0KFDAT5Tberq+SeEEK2treLf//63uPzyy0V9fb16+csvvywyMjJEWVlZME5dEzoav8suu0wIIURDQ4O4+uqrxYABA0RycrIYMGCA2Lx5sxBCiCFDhoiXX345iGcffLt27RKzZs0SkiSJkSNHinXr1gkh5HEVQn7/Gzt2rJg/f744deqUerv6+npx8803izvuuEM9lkIbA0ANOnbsmBgyZIhYtWqVetnnn38uYmJixBNPPCGEEGrQp7Db7UIIITIyMsSf/vSnwJ2sBnU2fn//+9+FEEK8//77IjIyUtx0001ut/3Vr34lLr30UmGz2dQxDTedjd+TTz6pXqaMT2lpqTAajeoHTWtra2BPWGM8Hb+77rpL/OQnP3G77YMPPihGjRolSkpKAna+WuPJ67e+vl4cOnRIbNmyRT2mqalJ9OrVS/znP/8J+DlryRNPPCGuuOIK8corr4g5c+aIW265RQ3obDabEEKIV155RQwcOFA899xzbre98MILxS233BLwc6bgYACoQYcOHRKSJImTJ0+6Xf63v/1NJCUlnXW5YuXKlWLMmDFi3759gThNzeps/BISEkRhYaEQQog77rhD5OXliUceeUScOXNG5Ofni+nTp4vHH388GKetGd19/p04cUKMHz9eLF26NJCnqVmejt8NN9wgrrzySvG///1Pvd0ll1wiFi1aFPBz1pLOxi8xMbHD979ly5aJ8ePHizNnzgTiNDWruLhYbNy4UQghxNNPPy0mTpwoli1bJoRwTxz89Kc/FWPGjBHPPPOMqKmpEbt37xZjx44Vy5cvD8p5U+AxANSg/fv3i3PPPVf9tquoqakR/fv3F4sXLxZCyBmYPXv2iG+++UYsWrRIpKamiiVLloR9+r6r8bvzzjuFEEIcP35cPPLIIyIqKkqMHTtWxMXFiRtvvFFYrdZgnLZmePr8c32epaeni7vvvjug56lVnj7/Nm3aJCZOnChSUlLElVdeKcxms7jppptEbW1tME5bMzx9/rW2toqysjLxxRdfiDvvvFMkJCSIhx56SLS2toZt9r6twsJCce2114rLL79czSo3NTUJIYQoKCgQf/3rX0VERIQYP368iI2NFTfddJNoaGgI5ilTADEADIKu3pzq6urEj3/8Y3HNNdeI48ePCyGc02qPPfaY6NOnj7pu6IUXXhDjx48XkyZNElu3bvXreWuFL8dPCDnjsHbtWrFnzx6/nbOW+GL8lA8JJaPw3HPPcfwcuhq/3Nxc9UvG3r17xauvvir++te/iu3bt/v1vLXCl8+//Px8sXDhQjF58mS+/7WhjNny5cvFpEmTxF//+td2j9u7d69YvXq12L17t8/OkfSBVcABVlNTg7q6unbL81taWgDIbUrmzp2L/Px8vPPOOwCczTkTExORkJCA0tJSAMDNN9+M//znP9i8eTMmTpwYyIcSFL4avzNnzqj3MWjQIMyYMQMjRowI5EMJCl+OH+CsBP7Vr37F8fNw/BITE9XxGz58OG655Rbcc889OO+88wL5UILCV8+/srIyAMCAAQNw3333YdOmTXz/c4yfQrlu7ty5GDVqFD7//HN8//33AIDt27cDkCt9hw8fjssvvxyjRo0KxEMgDWEAGCBCCCxatAgXXXQRZs+ejVtvvRW1tbUwGAxobm4GAERERKC1tRVvvPEGrr/+elxwwQVYsWIFVq9erd5PeXk5kpKSkJubC0B+swyHF66vx693795h1bLE1+OXnZ0drIcSFL4ev5ycnGA9lKDwx+sXkHsD9urVKyiPKZA8HT8hBF555RX1d7vdjpiYGPz4xz9GREQE/va3v+Gyyy7D+PHjUVxcHFbvgdSOIGQdw86WLVvE6NGjxfnnny8+/vhj8cADD4ghQ4aIH//4x27HvfjiiyI9PV3MnDlT2Gw2ceDAAfHTn/5UREREiF/+8pdi4cKFIjExUfzjH/8QQng+FaB3HD/vcPy8w/HzDsfPO90dvzlz5ojS0lK360pLS8Xw4cOFJEniqquuEidOnAjkQyCNYgDoZy0tLeIPf/iDuOGGG9wWd7/99tsiLy9PXZj76quvitzcXPHSSy+dVcTx+OOPizvuuEPMmjVLbbURLjh+3uH4eYfj5x2On3d6Mn5tW4Rt2bJFpKSkiCFDhohNmzYF9PxJ27gXsB+03Ufx4osvRmxsLOLj49XLGhoaEBMTg9jYWADALbfcgrlz58JsNqvHCMcemL/97W8Dd/IawPHzDsfPOxw/73D8vOOr8VOMHDkSzzzzDG6++Wb/nzzpCgNAH3vwwQdx/Phx9O/fH7/61a+QmpqK2bNnq9cr+1RWVFQgOTkZ8fHx6htd2xdvOK7P4Ph5h+PnHY6fdzh+3vHl+AFyEB0XF8fgj9rFIhAfKSwsxNixY/Hee+8hLi4O//rXvzB79my89957AJwVWcqb2ldffYUpU6aE5Ztcezh+3uH4eYfj5x2On3f8NX4cX+oMA0Af+fLLL2G32/H111/jn//8J44cOYLs7Gw888wz2L17NwwGg5rab2howM6dO3HppZcCkF+kBw4cCPIjCC6On3c4ft7h+HmH4+cdjh8FAwNAHzlx4gQiIyMRFxcHQG7P8tvf/hYmkwmPPvooAGcvq6+//hoGgwEXXHAB9u/fj4svvhhjx45FSUlJ0M4/2Dh+3uH4eYfj5x2On3c4fhQMDAB9pLGxEREREWqDUgCYOnUqLrvsMhw4cABffPGFevmePXuQmZmJe++9F6NGjUJ2djZKS0uRmZkZjFPXBI6fdzh+3uH4eYfj5x2OHwVFcIqPQ4ey3c6BAweEJElixYoVbtfv2rVLTJw4UTzyyCPqZZdccomQJElceOGFYbP9U0c4ft7h+HmH4+cdjp93OH4UTAwAPbBnzx7x3nvvndVfSQjh1rPq2muvFWPGjBFnzpxxO2bixIni17/+tRBCfsG/+eabYuXKlf49aQ3h+HmH4+cdjp93OH7e4fiRVnEKuBM2mw3z58/HqFGjsHPnTrfeTK2trQDk7XZsNhuOHDmCxx9/HAcPHsRTTz2FmpoaAPL+jCaTCcnJyQDkdRzXX389rrjiisA/oADj+HmH4+cdjp93OH7e4fiR5gU7AtWqZ599VsTHx4sLLrhA7Nq1q8PjnnnmGREbGyseffRRIYS8Hc/AgQPFrFmzxMqVK8Vdd90lsrKyxDfffBOoU9cEjp93OH7e4fh5h+PnHY4f6QEDwHbU1NSI5ORkcckll6iXHThwQBw5ckRYLBYhhLwP5e233y7S09PFa6+9pq7lEEKIjz76SMyZM0dMmjRJjBs3TmzdujXgjyGYOH7e4fh5h+PnHY6fdzh+pBcMAF24bi7+3//+V6SkpIjPP/9cXHvttWLAgAFi4MCBYsKECeLll18WQghx8OBBUVNTo97G9UUshFD3aQwXHD/vcPy8w/HzDsfPOxw/0hsGgEKIbdu2CSHcX4B2u11MmDBBSJIk5s+fLzZu3Cg+/vhjMX/+fJGVlaVuSt7ewt5ww/HzDsfPOxw/73D8vMPxI70K6wBwxYoVIjs7W6SkpIjjx48LIdxfkN999524++67RXl5uXrZ8ePHxVVXXSXmzJkT6NPVHI6fdzh+3uH4eYfj5x2OH+mdJIQQwS5ECYY33ngDzzzzDAYMGIBTp05h+PDheOGFF9yOEULAarUiPj7e7fJbbrkFFRUVePfdd9XO7eGG4+cdjp93OH7e4fh5h+NHoSDs2sAo5fcDBw7E9OnT8eijj+KKK67Ahg0bsGHDBrdjJEk668Xb0NCA4uJiDB8+PCxfvBw/73D8vMPx8w7HzzscPwopwUs+Btbhw4fdFukK4WzCuXfvXnHFFVe4peXbHltdXS0KCgrET3/6UzF06NCw68DO8fMOx887HD/vcPy8w/GjUBTyAeDbb78t+vXrJwYPHiwmTJggXnrpJfW6tlVbw4YNE//973+FEO4Lej/99FPxy1/+UqSmpopp06aJ/Pz8wD2AIOP4eYfj5x2On3c4ft7h+FEoC+kA8PPPPxf9+vUTzz33nFizZo1YvHixiIyMFC+++KKor68XQji/xZ06dUrMnz9fjB8/XtTW1gohhGhqahJCCHHixAnx3HPPiS+++CI4DyRIOH7e4fh5h+PnHY6fdzh+FOpCMgBUvpk98MADYuzYscJms6nX/epXvxLjxo0TH3zwwVm3W716tRg3bpy47777xO7du8Xll18uCgoKAnbeWsHx8w7HzzscP+9w/LzD8aNwEZJFIJIkAQD279+PAQMGIDIyEs3NzQCAhx9+GNHR0Vi5ciVKSkoAOBftXnzxxZgwYQIefPBBjB07Fi0tLUhPTw/Ogwgijp93OH7e4fh5h+PnHY4fhY1gR6C+8Pnnn4tf//rX4qmnnlKbcgoh76toNpvV3kzKN7kXX3xRDBo0SGzYsEE9tq6uTjz11FPCaDSKadOmie+//z6wDyKIOH7e4fh5h+PnHY6fdzh+FK50HQAWFRWJH/zgByI9PV3cdNNNYuTIkSIxMVF9ER86dEj07t1b/OUvfxFCONdkCCFEZmameOqpp9Tf9+3bJyZOnCheffXVgD6GYOL4eYfj5x2On3c4ft7h+FG4020AaLVaxW233SZ+/OMfi2PHjqmXT5gwQcybN08IIYTFYhEPP/ywiImJUddiKOs7LrroIvGzn/0s8CeuERw/73D8vMPx8w7HzzscPyIdrwGMjY2FyWTCvHnzkJeXh5aWFgDAnDlzcODAAQghYDabceONN+K8887Dddddh5MnT0KSJBQUFKCsrAxz584N7oMIIo6fdzh+3uH4eYfj5x2OHxGg663gmpubERkZCQCw2+0wGAy46aabEBcXhxdffFE97vTp05g2bRpaWlowbtw4bN68GUOGDMHy5cuRkZERrNMPOo6fdzh+3uH4eYfj5x2OH4U7XQeA7ZkyZQpuv/123HbbbbDb7QAAg8GAI0eOYPv27di2bRtGjx6N2267Lchnqk0cP+9w/LzD8fMOx887HD8KJyEVAB47dgwXXHABPv74Y4wdOxYAYLPZEBUVFeQz0weOn3c4ft7h+HmH4+cdjh+FG92uAXSlxLCbNm1CfHy8+uJ94IEH8Jvf/AZlZWXBPD3N4/h5h+PnHY6fdzh+3uH4UbiKCPYJ+ILSuPObb77BNddcg7Vr1+KOO+5AfX09XnvtNTbj7ALHzzscP+9w/LzD8fMOx4/CVqDLjv2loaFBDBw4UEiSJEwmk3jkkUeCfUq6wvHzDsfPOxw/73D8vMPxo3AUUmsAL730Upxzzjl48sknER0dHezT0R2On3c4ft7h+HmH4+cdjh+Fm5AKAFtbW2E0GoN9GrrF8fMOx887HD/vcPy8w/GjcBNSASARERERdS0kqoCJiIiIyHMMAImIiIjCDANAIiIiojDDAJCIiIgozDAAJCIiIgozDACJiIiIwgwDQCIKS9OmTcOiRYuCfRpEREHBAJCIqAsbNmyAJEmorq4O9qkQEfkEA0AiIiKiMMMAkIhCntVqxa233or4+HhkZWXhiSeecLv+tddew7hx42A2m5GZmYkbb7wRZWVlAIATJ07g4osvBgAkJydDkiTMmzcPAGC327F06VLk5eUhJiYGo0ePxnvvvRfQx0ZE1BMMAIko5P3+97/Hxo0bsXLlSnz++efYsGEDduzYoV7f3NyMhx56CLt378aHH36IEydOqEFebm4u3n//fQDAoUOHUFxcjGeeeQYAsHTpUrz66qt44YUXsG/fPtx11124+eabsXHjxoA/RiKi7uBewEQU0urq6pCamorXX38d1157LQCgsrISOTk5uOOOO/D000+fdZvvvvsO48ePR21tLeLj47FhwwZcfPHFqKqqQlJSEgCgqakJKSkp+OKLLzBp0iT1tj/72c9QX1+P5cuXB+LhERH1SESwT4CIyJ+OHj0Km82GiRMnqpelpKRg8ODB6u/bt2/H/fffj927d6Oqqgp2ux0AUFBQgGHDhrV7v0eOHEF9fT0uvfRSt8ttNhvGjBnjh0dCROQ7DACJKKxZrVbMmjULs2bNwhtvvIG0tDQUFBRg1qxZsNlsHd6urq4OAPDxxx+jd+/ebteZTCa/njMRkbcYABJRSBswYAAiIyOxbds29OnTBwBQVVWFw4cP46KLLsLBgwdRUVGBRx55BLm5uQDkKWBXUVFRAIDW1lb1smHDhsFkMqGgoAAXXXRRgB4NEZFvMAAkopAWHx+P+fPn4/e//z1SU1ORnp6OP/3pTzAY5Bq4Pn36ICoqCv/4xz/wi1/8Anv37sVDDz3kdh99+/aFJElYvXo15syZg5iYGJjNZvzud7/DXXfdBbvdjilTpqCmpgb/+9//kJCQgNtuuy0YD5eIyCOsAiaikPfYY4/hwgsvxA9/+EPMmDEDU6ZMwdixYwEAaWlpWLZsGd59910MGzYMjzzyCB5//HG32/fu3RsPPPAA7r77bmRkZGDhwoUAgIceegh/+ctfsHTpUgwdOhSzZ8/Gxx9/jLy8vIA/RiKi7mAVMBEREVGYYQaQiIiIKMwwACQiIiIKMwwAiYiIiMIMA0AiIiKiMMMAkIiIiCjMMAAkIiIiCjMMAImIiIjCDANAIiIiojDDAJCIiIgozDAAJCIiIgozDACJiIiIwgwDQCIiIqIwwwCQiIiIKMwwACQiIiIKMwwAiYiIiMIMA0AiIiKiMMMAkIiIiCjM/D89Js91JEiQTQAAAABJRU5ErkJggg==&quot; width=&quot;460px&quot; height=&quot;345px&quot; alt=&quot;&quot;&gt;&lt;/img&gt;\",\"width\":460},\"id\":\"1006\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"reload\":false},\"id\":\"1008\",\"type\":\"panel.models.location.Location\"},{\"attributes\":{\"end\":60,\"margin\":[5,10,5,10],\"start\":1,\"title\":\"window\",\"value\":30},\"id\":\"1003\",\"type\":\"Slider\"}],\"root_ids\":[\"1002\",\"1007\",\"1008\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "    var render_items = [{\"docid\":\"64dcfa29-3ae7-4cfa-84c2-c5831e6597cf\",\"root_ids\":[\"1002\"],\"roots\":{\"1002\":\"de8076ee-4969-4c96-9c41-035ec1ce371b\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "Column\n",
       "    [0] IntSlider(end=60, name='window', start=1, value=30)\n",
       "    [1] IntSlider(end=20, name='sigma', value=10)\n",
       "    [2] ParamFunction(function, _pane=Matplotlib)"
      ]
     },
     "execution_count": 5,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1002"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_app = pn.Column(window, sigma, interactive)\n",
    "\n",
    "first_app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model(n=5):\n",
    "    return \"⭐\"*n\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, js_modules, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "    if (js_modules == null) js_modules = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls.length === 0 && js_modules.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n",
       "      require([\"gridstack\"], function(GridStack) {\n",
       "\twindow.GridStack = GridStack\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"notyf\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      root._bokeh_is_loading = css_urls.length + 2;\n",
       "    } else {\n",
       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n",
       "    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/gridstack/gridstack@4.2.5/dist/gridstack-h5.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (var i = 0; i < js_modules.length; i++) {\n",
       "      var url = js_modules[i];\n",
       "      if (skip.indexOf(url) >= 0) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    if (!js_urls.length && !js_modules.length) {\n",
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       "\n",
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       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\", \"https://unpkg.com/@holoviz/panel@0.14.4/dist/panel.min.js\"];\n",
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i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 2;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/gridstack/gridstack@4.2.5/dist/gridstack-h5.js'];\n      for (var i = 0; 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i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, js_modules, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
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       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>.bk-root, .bk-root .bk:before, .bk-root .bk:after {\n",
       "  font-family: var(--jp-ui-font-size1);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--jp-ui-font-color1);\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import panel as pn\n",
    "\n",
    "pn.extension()\n",
    "\n",
    "slider = pn.widgets.IntSlider(value=3, start=1, end=5)\n",
    "\n",
    "interactive_model = pn.bind(model, n=slider)\n",
    "\n",
    "layout = pn.Column(slider, interactive_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1022'>\n",
       "  <div class=\"bk-root\" id=\"6f7085d6-10c3-415a-aa9a-5fcf4a8aacb2\" data-root-id=\"1022\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"f5420428-f207-4ef5-987a-ac37bfaf4753\":{\"defs\":[{\"extends\":null,\"module\":null,\"name\":\"ReactiveHTML1\",\"overrides\":[],\"properties\":[]},{\"extends\":null,\"module\":null,\"name\":\"FlexBox1\",\"overrides\":[],\"properties\":[{\"default\":\"flex-start\",\"kind\":null,\"name\":\"align_content\"},{\"default\":\"flex-start\",\"kind\":null,\"name\":\"align_items\"},{\"default\":\"row\",\"kind\":null,\"name\":\"flex_direction\"},{\"default\":\"wrap\",\"kind\":null,\"name\":\"flex_wrap\"},{\"default\":\"flex-start\",\"kind\":null,\"name\":\"justify_content\"}]},{\"extends\":null,\"module\":null,\"name\":\"GridStack1\",\"overrides\":[],\"properties\":[{\"default\":\"warn\",\"kind\":null,\"name\":\"mode\"},{\"default\":null,\"kind\":null,\"name\":\"ncols\"},{\"default\":null,\"kind\":null,\"name\":\"nrows\"},{\"default\":true,\"kind\":null,\"name\":\"allow_resize\"},{\"default\":true,\"kind\":null,\"name\":\"allow_drag\"},{\"default\":[],\"kind\":null,\"name\":\"state\"}]},{\"extends\":null,\"module\":null,\"name\":\"click1\",\"overrides\":[],\"properties\":[{\"default\":\"\",\"kind\":null,\"name\":\"terminal_output\"},{\"default\":\"\",\"kind\":null,\"name\":\"debug_name\"},{\"default\":0,\"kind\":null,\"name\":\"clears\"}]},{\"extends\":null,\"module\":null,\"name\":\"NotificationAreaBase1\",\"overrides\":[],\"properties\":[{\"default\":\"bottom-right\",\"kind\":null,\"name\":\"position\"},{\"default\":0,\"kind\":null,\"name\":\"_clear\"}]},{\"extends\":null,\"module\":null,\"name\":\"NotificationArea1\",\"overrides\":[],\"properties\":[{\"default\":[],\"kind\":null,\"name\":\"notifications\"},{\"default\":\"bottom-right\",\"kind\":null,\"name\":\"position\"},{\"default\":0,\"kind\":null,\"name\":\"_clear\"},{\"default\":[{\"background\":\"#ffc107\",\"icon\":{\"className\":\"fas fa-exclamation-triangle\",\"color\":\"white\",\"tagName\":\"i\"},\"type\":\"warning\"},{\"background\":\"#007bff\",\"icon\":{\"className\":\"fas fa-info-circle\",\"color\":\"white\",\"tagName\":\"i\"},\"type\":\"info\"}],\"kind\":null,\"name\":\"types\"}]},{\"extends\":null,\"module\":null,\"name\":\"Notification\",\"overrides\":[],\"properties\":[{\"default\":null,\"kind\":null,\"name\":\"background\"},{\"default\":3000,\"kind\":null,\"name\":\"duration\"},{\"default\":null,\"kind\":null,\"name\":\"icon\"},{\"default\":\"\",\"kind\":null,\"name\":\"message\"},{\"default\":null,\"kind\":null,\"name\":\"notification_type\"},{\"default\":false,\"kind\":null,\"name\":\"_destroyed\"}]},{\"extends\":null,\"module\":null,\"name\":\"TemplateActions1\",\"overrides\":[],\"properties\":[{\"default\":0,\"kind\":null,\"name\":\"open_modal\"},{\"default\":0,\"kind\":null,\"name\":\"close_modal\"}]},{\"extends\":null,\"module\":null,\"name\":\"MaterialTemplateActions1\",\"overrides\":[],\"properties\":[{\"default\":0,\"kind\":null,\"name\":\"open_modal\"},{\"default\":0,\"kind\":null,\"name\":\"close_modal\"}]}],\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1023\"},{\"id\":\"1024\"}],\"margin\":[0,0,0,0],\"name\":\"Column00147\"},\"id\":\"1022\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1025\"}],\"margin\":[0,0,0,0],\"name\":\"Row00144\"},\"id\":\"1024\",\"type\":\"Row\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"ParamFunction00140\",\"text\":\"&lt;p&gt;\\u2b50\\u2b50\\u2b50&lt;/p&gt;\"},\"id\":\"1025\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"client_comm_id\":\"acdd9edbe511465ba0f88ac4b282d8eb\",\"comm_id\":\"b49c38740b7e4fe7aa85235c230b4658\",\"plot_id\":\"1022\"},\"id\":\"1026\",\"type\":\"panel.models.comm_manager.CommManager\"},{\"attributes\":{\"end\":5,\"margin\":[5,10,5,10],\"start\":1,\"value\":3},\"id\":\"1023\",\"type\":\"Slider\"}],\"root_ids\":[\"1022\",\"1026\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "    var render_items = [{\"docid\":\"f5420428-f207-4ef5-987a-ac37bfaf4753\",\"root_ids\":[\"1022\"],\"roots\":{\"1022\":\"6f7085d6-10c3-415a-aa9a-5fcf4a8aacb2\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "Column\n",
       "    [0] IntSlider(end=5, start=1, value=3)\n",
       "    [1] ParamFunction(function, _pane=Markdown)"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1022"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'hvplot'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[13], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mparam\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mhvplot\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpandas\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mhvplot\u001b[39m(avg, highlight):\n\u001b[1;32m      5\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m avg\u001b[38;5;241m.\u001b[39mhvplot(height\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m200\u001b[39m) \u001b[38;5;241m*\u001b[39m highlight\u001b[38;5;241m.\u001b[39mhvplot\u001b[38;5;241m.\u001b[39mscatter(color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124morange\u001b[39m\u001b[38;5;124m'\u001b[39m, padding\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m)\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'hvplot'"
     ]
    }
   ],
   "source": [
    "import param\n",
    "import hvplot.pandas\n",
    "\n",
    "def hvplot(avg, highlight):\n",
    "    return avg.hvplot(height=200) * highlight.hvplot.scatter(color='orange', padding=0.1)\n",
    "\n",
    "class RoomOccupancy(param.Parameterized):\n",
    "    variable  = param.Selector(objects=list(data.columns))\n",
    "    window    = param.Integer(default=10, bounds=(1, 20))\n",
    "    sigma     = param.Number(default=10, bounds=(0, 20))\n",
    "\n",
    "    def view(self):\n",
    "        return find_outliers(self.variable, self.window, self.sigma, view_fn=hvplot)\n",
    "\n",
    "obj = RoomOccupancy()\n",
    "obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}