JawAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib notebook\n",
    "import sqlite3\n",
    "\n",
    "conn = sqlite3.connect(\"/Users/airkumar/jaw.db\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_sql_query(\"select * from datatable;\", conn)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['reading'] = pd.to_numeric(df['reading'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['recorded'] = pd.to_datetime(df['recorded'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>reading</th>\n",
       "      <th>recorded</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>2020-02-20 22:09:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>2020-02-20 22:09:46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>2020-02-20 22:09:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "      <td>2020-02-20 22:09:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>2020-02-20 22:09:49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   reading            recorded\n",
       "0       15 2020-02-20 22:09:45\n",
       "1       16 2020-02-20 22:09:46\n",
       "2       17 2020-02-20 22:09:47\n",
       "3       16 2020-02-20 22:09:48\n",
       "4       16 2020-02-20 22:09:49"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "reading              int64\n",
       "recorded    datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "scrolled": true
   },
   "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>reading</th>\n",
       "      <th>recorded</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>27800</td>\n",
       "      <td>52</td>\n",
       "      <td>2020-02-23 06:50:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27801</td>\n",
       "      <td>49</td>\n",
       "      <td>2020-02-23 06:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27802</td>\n",
       "      <td>40</td>\n",
       "      <td>2020-02-23 06:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27803</td>\n",
       "      <td>23</td>\n",
       "      <td>2020-02-23 06:51:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27804</td>\n",
       "      <td>492</td>\n",
       "      <td>2020-02-23 06:51:01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       reading            recorded\n",
       "27800       52 2020-02-23 06:50:59\n",
       "27801       49 2020-02-23 06:51:00\n",
       "27802       40 2020-02-23 06:51:00\n",
       "27803       23 2020-02-23 06:51:01\n",
       "27804      492 2020-02-23 06:51:01"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = df['recorded']\n",
    "y = df['reading']\n",
    "start_date = '2020-02-23 06:00:00'\n",
    "end_date = '2020-02-23 15:00:00'\n",
    "xTodayFilter = x > start_date\n",
    "filteredDf = df.loc[xTodayFilter]\n",
    "xFilter = filteredDf['recorded']\n",
    "yFilter = filteredDf['reading']\n",
    "filteredDf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "\n",
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       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
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       "    this.context = canvas[0].getContext(\"2d\");\n",
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       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
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       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
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       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
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       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
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       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
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       "}\n",
       "\n",
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       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
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       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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J4x6w0y0qXnav7Si3m4z9UPU+llFST+LPX70onz2z693rTU/trFs+8mwtIa/cP0ueW7jW3JV304ytn+XtOoK6+Ag+njN/HWyuvq9sLroWO+/ndVanrxhQMbbzWSDQcTHTX8bJngaHhPk9xS/iTS3fag5h57d/kRplJNje5WKG5O6ZVTbF8xeYf1wWPNSScBXSoZG9jfe6xgajqfhJfpO9Y18eI1s2vNB7dvd2jSXne9+llC8fFohOwE9BIX1twcsg4uSADQ4uDoPjRNQ9NF5bOVOue+FHXL46FHJ1K+KDRc70StE14Nd9w6PrHG/X4Qj63BEDSunkqVVtrtPG8bPzlR1e9bSKjnssANVvV/z5VV90R9QVlFvt6raRbRupnMCQe38+97CzbY6NYm2TNLV3QGVrN3C3NYpF+4qeTI0r6387453rXOUm1ey5InyLSitSKimMkWCxk276ZZx6lvDBHG67Tgdb9KuCqdEZhiJtrqeiyp3S8mSLQnEs0f1kjEFp9vSO/0YVnLpWSmT2U6xzP/J7+X9OrvaWzU/Rjb96BthTR1f9QbRxzkv75C5FdW+2g/qoCj/hgc1Brt6/MbHbaKsps2GCZ78zifJ0imDarvk5wcxJxe/ibRk35Xqjvfe8u31dqapfgTxvfqVne/K2HnrE4a1cGJ/uaBbmzCnQeB1e/neqRLD18yvdNWHkfkdZM7ofFdlKcQOQObAVwIkAJkJkQiQAIyEvbbReSt3Smn59nqdCPtXxWzf+dcw4pf3OdVxJ1mYs8Pui3DjHJG1SRJNYfZH17qdkjI1/b2kZ1u59oIzrF/51avhr/TKVO1sS5W7Gtq9tTxx/QApr9onkxdsSuB4ZFy+FPfuYMs04sFVsmXfR7bvpUoe+nV3WuSpfx9YVpE02em3TS/HOSVPbnhinax4PXG30NCzWssTEe/muempDfLi1gO2wwx7d4NKmBXPXZ3Qdtjteomp27JOicwwEm0N+zRu3lpZs/Or+9TWfWY6gzUAACAASURBVA3qdrIsmDjQdgiD76uQPe9/kfBe51ZNZdUdRW6HXVtO7dqauXRrwnFlI3tqsxMwiD7a7bb0jBXAAWHtBIxyN67f+HhN1jkleJ6eUGBd6unnB7FkIfWTSEuWNFzx2oHaW3o0kq/+1tu90v1e7TdxGcD0DrQKr+OYvGCjlFe946oP6r6e20uj+0HdVSc1KsT6W6NgRNgVEoAR4mdz05yAoot+ssRGmL8q9rrrBfnkH05fk6LziKrlJjki1bMz/6XF6YvwxMFdZdbwHlFxaNeu046ehh1VX/CvH9RF5q36m68xnHLiMbJ+5jf8JQDnrrQuS3Z6JUse+ulssl/wneaVn3bSOaZDy+PkFZtL7LvfuVz+cSix5uOaiOy4J/Ofw7o9OffHL8qHX9R/eEHN+7OG58nEwd3SIUl67LxVO6V0ef0fg9QBYbcb9ICSJTJv/P82Bppos+v7BbMrZN+Hicm8Di2byisl9sm8cY+9Imve+PpS9pp6B53RShZMusAz0WUPrpIqmx8Eenc4UX43dbDn+sI44KKf/VGqbS7jy23TXP7w/X931aQu5xrV2aB3AUa9G9fpR6VeHU6UZQ5zyE+ybsbiTbJk076EeI/K7yAPjM739fcw2eTxmoBSdTnNM/V3deqizfUuy03Wdrrfq6OeE64+lCkKeU3ATn/mz7J0837XTQf9OXTdcAwLsv6OYdBC6DIJwBBQqTK1ACeg1EZhlVCX/pY12P1X01aYuz66/mB5vfsjhTW+uNTbWER2RnAZsNNOLXXPubUxva9MGDG/Z9lWmb96l6uq1W4/ycmpd4+/ZLsC6lZas0PIzyIq2SXAqo0gE4CpFlC67ADM73yiLJ2SmOw4/ycvyXufJWYAWzdvIq/+6BJXcQ6r0PVPrJM/2uxOVO2FeU5W9ZuyAzBZIvN/tx/wvDvPa6xnLvmLLKx8K+GwsQWdpGzUubbV+blsOFm/nHaSDuvZTn75H/28DimU8iMfXiWb9iTuWnb63Np1wu5cFEpnXVQaZOJBh8/i3cu2yOOrdyeMfHzh6fLDEb1sRfzsXn/g5e3yYMXOhPqmFnWTGRfnBZ4AVA15uQQ12blRXdZvd7m/HQ47AL9SSfX9oaFdsnVKw7LNjhF57e5of8RzcarQpgjrb21CEWlHSABGyp+9jXMCii72k5/eKOVb7LfWp/tLZbJRnTVzufyTDYC1RG1OaCIb74wm8VC6fJvtjrUw4x/djPfXstsdgDW1qx2U/7Nml7UrQH3pn/Lv3Vzdo6ruPcKsy6j+dc9AlVQsdfEU0YYPAanpT9CXALv5Bd+6Z+KSqkgT/TWXkDWM+vTFm2SpzY4THe4f5LSA7t+1lSy+0ftOMK8z3oQdJsmSJ3/Z84Hn+/N5NfRzj0m/Dw5x6luqXVVexxRG+cdWVktZ+Y6EqmcWd5dJQ3JdN9nwoTmuDwy4YJAJQB124/qZx34SgKmO8fODmJvQerlPYbo7ABvn5EjpyPSe2Ovm766bcetQxksC1ml+2I3jobF9ZMQ5HXUYYiz6wPo7FmEKvZMkAEMnpgE7AU5A0c0Lp1/Wgk4YNBzhT35XJU+seTO6gWvWcrJf1MPuqrVba/aKejvW0v2lOuw+Z7r+VPcArNufGjv1bzVPuFP/3+7m3XWPs3tKqJcFSk1daifgz156XXa999UT8twmD72Yuv0FX5Wb+4fXZcH6PV6qr1dWnYsaPDC53vtNGokccvgxwemhHjrsrnECsVvsqrKZfEBJlPcd8z1RGhzolMgMOtHm1N+6D8FRc7jMRQLf673Tklmluq9aUM7p1OMnweTUXv5/viTvf25zXX86HfRwbOdWx8mqOy7ycETyorqco+r+kKP+Rs3+15PbvZy/Un2fdJPg8/ODWGDBSLFrre49ANXfW/WYqrp/s9T4l01N/+m0bv/uBjnuMOty+/3Gbn6oudjhpKay94Ovb7XQuVUzWXXH0DC7bFzdrL+NC6mvAZEA9MXGQekKcAJKV9D/8U6LhPGFXeSHI3r6r9jFkVwG/DVSJhf3dqHx8musi9AaWSTZLhN1yfThf+32u+eKxF/57b64q0WBeiiIWiyoS4TLUiysvKK6/XLttd6a8m7njFrIjnhwddIkXk2d/7p62iqrTH8wrLt0bNXMertLm+Nl17ufys2LNtdLVifrf7JdrDrvdAsyEeQ3viYc55TItJJzS6qsm/WH8dmrsfPzGfRzjFOsUj1ZVYcYe00w2fXZKVlWU7Zfl1ZyQbfWcvxxjaVF02Pk4y++lMWVe2Snzf0H/ZoEufuvpg+6nKO8zkk/yTo35zyv/fAbS6fj3D4FuG5CMIin/9btj9u/u0GPPer6nOaU+sFz6Z/3ysjzOrLzz0eQWH/7QDPwEBKABgY1DkPiBBRdlKK6zESn+/ZEp/9Vy/cGnPjxO56ov1z77Xcmj0t2qdJJzY+1ngLcrkVT2y7ZfXEfena72l2CTsdlcnxe20o1Z+rugnJbt9pB8Yux+fLW+5/L/S/uqL2MWiVWT2vdPOVOypp23Oxi1XmnWypbt56UsxfIFl/1I98LVfvl0t7trSeq6vhKNxZTFrwqy6vedhya00NsVLtPr9slK7YdkPc/+6e88+E/xOsewqB3/jUchM7nqGRzyU9M/RyT6fnsto9uy/npf5h1++lPpo7J1nGH6cv6O0zd+NRNAjA+sTKqp5yAogtnVJeZON3LZFpRrvUr/YGP/iHNj2ss736s/n8TGXVeJ+nRvqV18+CayypVwsRucaPKVLz2jrz94RfW7qqHV1TL4aNf7fQY07+zDMptI0eOHpW1O9+zFkVnndIiIQlT044q99r+j6R9y6ay/8MvrGPbnHCcVf6k5sfIB599Wfv/VfJHvWravqTXqVaf1UvVt3HX3+Wt9z+zxtbuxOOkU6vm0rfLyY4Jo+hmBS07CaR7CY7JX2Abji2dJL+6F+IPn99a78mKKjH4q/EFcu3jG+Sw2jqZ4pXf+SRZOmVQqmK8jwACMRawLg8srbB2czq9gnp4jsnn7xhPAbqOAAI+BVh/+4Qz7DASgIYFNC7D4QQUbaSiuMwk3USKFzG+tHvRomwqgWy9BCeZi51Jst166lJflcKre8lv3fqd7vuX86/LplPFqOb9oBb+btujHAIIZFbA6cfEur2I+hYbmRWhNQQQQMCdAOtvd06mlyIBaHqENR0fJ6DoAxPFZSYkUqKPOz3wJ0BS+Ws3p2T+f119rnxv4eakwGpX3+V9OspvNu+1dukG/dLhqb5Bj4n6EECg/vmnf2lF0qeN80R7ZgwCCCCQKMD6m1mhBEgAMg8iEeAEFAm7Fo2SSNEiDHQCAd8CTjtwRuV3kCWb9qWsV92r77Jz28tSF2VTVtagQP8urWTxTRd4PYzyCCAQEwH1HaKgtCJpb+12APLdIyYBppsIJBHgc5ze9GD9nZ6fKUeTADQlkjEbByegmAWM7iKAAAL/ElC7hy97cE29+/KppN7tw86SsvIdrpzU/Tkb3sNLXQack/PV05X9vh4a24cnA/rF4zgEYiDg9GCmmq63PeFY2XDnxfVGwtUHMQgsXUQghQCf4/SnCOvv9A1NqIEEoAlRjOEYOAHFMGh0GQEEsl7gsZU75b4XdiQk/9QTe9UTjlPtzFGATvf7mzi4q3Rre4Lc+fwW62EgTuWcgtC5VTNZdcfQrI8RAAiYLLCocreULNniOMRhPdvJL/+jX+37mbz/sMnujA2BKAX4HAejz/o7GMe410ICMO4RjGn/OQHFNHB0GwEEslZg3sqdUlq+vd74VZJu2dTC2qdfXzLnT7LjnU+SGo3r31kWb3ir3hN/1QHFvU+VH3+zp/X0bPVST8x+ftNeKWvQplPlM4vzZNKQblkbHwaOQDYIpNoB2PA2AE63LOA+gdkwWxijKQJ8joOJJOvvYBzjXgsJwLhHMKb95wQU08AF0O0oHj4SQLepAoGsFlC/vg8oqxC7q3NrFtLqs108d3VSJ/UQkLUzi2TBut0yt6I6oWzjRl9dAqwuKf7muR1k6aa9SW/2X7eCxjk5snbmUGnXomlWx4rBI2CygDoXJXsIyNCzWssTNwyoJWDnkMmzgbFliwCf42Aizfo7GMe410ICMO4RjGn/OQHFNHBpdnvG4s2yZNPe2lpG5XeUB0b3SbNWDkcAgbAFnH59r5t0m/PyDtukXk3fVHKv9IpecnXBaTJv1U4pXV5/N2EQY2BXTxCK1IGA3gKzlv6fLFi/x7aTXVo3k/+9rf6tALh3mN7xpHcIuBHgc+xGKXkZ1t/pG5pQAwlAE6IYwzFwAoph0NLsstPuoPJpX18+mGYTHI4AAiEJ2P36rpqqe9ltqntzTSjsIued3sq6tPfdT/6Rcregn6FwPvGjxjEIxEtg/P+sl4od79p2uk+nlvL89woT3uPpofGKMb1FwE6Az3F684L1d3p+phxNAtCUSMZsHJyAYhawALrrtONn1vA8mTiY+3YFQEwVCIQqUPfXd3Xvv5JL82RinXvuqS/mbh8Coo5teD/BIDrPDsAgFKkDAX0FUp1nxhR0ktmjztV3APQMAQQQiEiA9XdE8Jo1SwJQs4BkS3c4AWVLpL8e5+rqg3LN/MqEgT89oUAKc9tmHwgjRiCGAk6/vtf8++Or3pCK7QfTHlmOiOt7/9VtjB2AadNTAQJaC5Qu3ybzVv3NsY+j8jvIA6PztR4DnUMAAQSiEGD9HYW6fm2SANQvJlnRI05AWRHmeoN0enLfI+Pypbh3h+wDYcSxEgjqspOg6tEJr+7OwKD61ehfCcCjHivkfOIRzLDiJn6+DAtRWsNR8R1YViGHk5wYykb2lLH9u6TVDgcjgAACJgqw/jYxqt7HRALQuxlHBCDACSgAxJhVQQIwZgGju7UCQd14Oqh6dAqN070Bo+ojCcCo5KNvN66fL5KW7ueO08OI6tYwrShXpl/c3X2llEQAAQSyRID1d5YEOsUwSQAyDyIR4AQUCXukjfIQkEj5adyngF2Cq0mjHHmlZKi0a9HUda1B1eO6wQwVdLMg99MVLgH2o5a9x8T18xXXpGVUM83NDsC6DyaKqp+0iwACCOgowPpbx6hkvk8kADNvTosiwgko+6aBU6KAm/Zn31yI04iDmrdB1aObnd8dgHmnniDb3/4k8OGwAzBw0lhUGMfPV1yTllFPiFT3AJw9qpeMKTg96m7SPgIIIKCdAOtv7UISSYdIAEbCTqOcgLJvDrADMPtibsKInRbpv715kHzw2ZeS2+4EVzsBTV7se70HYONGOfK7mwdJ8dzVgU8REoCBk8aiwjh+vuKYtNRhMqR6CvDM4u4yaUiuDl2lDwgggIBWAqy/tQpHZJ0hARgZfXY3zAko++LPPQCzL+amjLjhZXrfPLeD/PYv++TQkaOiLge+54pecnXBaSmHa/LlfmpR/pvNe6V0+faUDhMHd5VZw3vIlAWvyvKqt1OW91KApwB70TKrbNw+X3FMWuoyY3rd9YJ88o8jtt2ZMLiL3Dm8py5dpR8IIICANgKsv7UJRaQdIQEYKX/2Ns4JKPtiTwIw+2Ju0ohrbtR/UvNj5Ju/WGMl/2peXu4JaPIN/512+TacB5Wziqxdk/cs2yrzV+8KdJqwAzBQzthVFrfPV9ySljpMiFQ7AKcWdZMZF+fp0FX6gAACCGglwPpbq3BE1hkSgJHRZ3fDnICyL/6rqw/KNfMrEwb+9IQCKcxtm30gjDiWAly2Zx82L5cBq8/8Wae0kP6lFfJ1GjWY6UACMBhHasmcQNySlpmTsW/J6cfEmtKX9jpFHr2mb9TdpH0EEEBAOwHW39qFJJIOkQCMhJ1GOQFl3xyY8/IOmVtRnTDwaUW5Mv3i7tkHwohjKcBle4lh8/ogkPzOLeW2YXkydt76wOcAPygETmpMhSTazAjlosrdUrJki+Ng+ndpJYtvusCMwTIKBBBAIEAB1t8BYsa4KhKAMQ5enLvOCSjO0fPXd6cv7Tyxz58nR0UnwGV79e2ddkUmi1DZyJ4yc+nWwIPI/b8CJzWiQj6zRoTRGsQDL2+XByt2Og7oobF9ZMQ5Hc0ZMCNBAAEEAhJg/R0QZMyrIQEY8wDGtfucgOIaOf/95inA/u04Uj8BU3cT+RmXOmZAWYXUuS1iZAGbUNhF7hzBAwAiC4CGDbNrV8OgpNGlyQs2SnnVO7Y15IjI3+4dnkbtHIoAAgiYK8D629zYehkZCUAvWpQNTIATUGCUaVXkZ7Hvt0EeAuJXjuMQyIyA311SOiUAeQpwZuZKnFrhvp1xilbqvt7yzJ/l+c37HQvWPGQodU2UQAABBLJLgPV3dsXbabQkAJkHkQhwAoqEvV6jfhf7fnvOJcB+5TgOgfAF0tkl5ecS4DBG1PaEY2XDnReHUTV1xlggnbkd42Eb2/Vr5q+T1dXvOY5v4cT+ckG3NsaOn4EhgAACfgVYf/uVM+s4EoBmxTM2o+EEFG2oolgQkQCMNua0jkAygXR2SemyA/D4YxvL1p8MI9AIJAhk+gcvQhCewML1uxzvH9ooR2TdzCJp16JpeB2gZgQQQCCmAqy/Yxq4gLtNAjBgUKpzJ8AJyJ1TWKXSWez77RMJQL9yHIdA+ALp/Cigju1fWiFHw+9myhZ4CnBKoqwtkMlbXmQtcgYGnuwpwOoJ40unFGagFzSBAAIIxE+A9Xf8YhZGj0kAhqFKnSkFOAGlJAq1QDqLfb8dIwHoV47jEMiMgN9dUrpcAqyUCnNby9MTBmQGjFYQQCDjAvcs2yrzV++ybXdmcXeZNCQ3432iQQQQQCAOAqy/4xCl8PtIAjB8Y1qwEeAEFP208LvY99tzEoB+5TgOgcwJ+NklpY4ZWFYhhzXYApjf+URZOmVw5sBoCQEEMipw97Kt8rhDApAdwBkNBY0hgEDMBFh/xyxgIXWXBGBIsFSbXIATkB4zxM9i32/PeQqwXzmOQ0B/AfWDwg+WVEXe0bKRPWVs/y6R94MOIIBAOALjn6yUiu0HbSufMLiL3Dm8ZzgNUysCCCAQcwHW3zEPYEDdJwEYECTVeBPgBOTNy4TS2/Z/KMVzVycMpXxaofRo39KEITIGBLJWQP2YUFBaEfn4HxmXL8W9O0TeDzqAAALhCFz16BrZsPsD28pH9mkvc64+L5yGqRUBBBCIuQDr75gHMKDukwAMCJJqvAlwAvLmZULpKB48YoIbY0BANwG7ncO63AeQBKBus4X+IBCswLA5f5Lt73xiW+nY/p2kbOS5wTZIbcYIZPKqF2PQGIhRAqy/jQqn78GQAPRNx4HpCHACSkcvnseqL14DyirkSJ37hDXKEVk3s0jatWgaz0HRawSyTMDp3qHzVu6U0vLtkWuwozjyENABBEIV+O8//VVmv/C6bRtTi7rJjIvzQm2fyuMpkOn7XsdTiV6bLsD62/QIuxsfCUB3TpQKWIATUMCgMaiOBGAMgkQXEUgi4PT08N/ePEhGzF0tRzTQmz2ql4wpOF2DntAFEwTYMaRfFB9buVPKHH5sGJnfQeaMztev0/QoUgGnv12vlAzlB+hII0PjmRZg/Z1pcT3bIwGoZ1yM7xUnIONDnDBALgHOvpgzYrMEnD7Ds4bnSeny6Hf/KW0uATRrzkU5GnYMRanv3PbkpzdK+ZZ3bAsU5bWRx6/rr2fH6VVkAnz/jIyehjUTYP2tWUAi6g4JwIjgs71ZTkDZNwN4CEj2xZwRmyXgtIviyRv6yTXzK7UY7KU928mj/9FPi77QifgKsGNI39g9trJaysp32HaQS4D1jVuUPePzHKU+beskwPpbp2hE1xcSgNHZZ3XLnICyL/z8Apt9MWfE5gk03BX1zXM7yG//sk8O1b25Z4TDLujSSp696YIIe0DTJgjw90rfKCZ74ji3ANA3blH3jB29UUeA9nUQYP2tQxSi7wMJwOhjkJU94ASUfWHnHoDZF3NGHE+BVPc9U7t511S/K2e3P1Gue2KDNsk/pc0lgPGcc7r1mh1DukXk6/44XU2gSpAA1DduOvQs1d82HfpIHxAIU4D1d5i68ambBGB8YmVUTzkBGRVOV4MhAeiKiUIGC8Rh8ZFql0Td99VTvDXZ+Fc7a56eUCCFuW0NnkUMLVMCqT4LmeoH7dQXmLnkL7Kw8i1blmQJwDicf4k1AgggEKYA6+8wdeNTNwnA+MTKqJ5yAjIqnK4GwyVVrpgoZKhAHJIJqXY92b2vU7ga54jsnD1cpy7Rl5gLkDTSL4Djn6yUiu0HbTv2yLh8Ke7dIeG9OJx/9ZOmRwggYJoA62/TIupvPCQA/blxVJoCnIDSBIzh4amSCzEcEl1GwJVAXOZ+qiR9edU+mbxgk6sxR1WofFqh9GjfMqrmaRcBBEIWcHoISI6IrJ9VJO1aNK3Xg7icf0Nmo3oEEEBAWH8zCZQACUDmQSQCnIAiYY+80RmLN8uSTXtr+zEqv6M8MLpP5P2iAwiEKZAqsRZm217qtlsoq111a2cWyYrXDsispVVy+Gj9GtX73+zTQZZu2uelqdDKzhqeJxMHdwutfipGAIFoBZweAjKzOE8mDUn87Mfl/ButKq0jgEA2CLD+zoYopx4jCcDURpQIQYATUAiomlfJPQA1DxDdC00gTjtQ1KVyJUuqpCbPp+7zV3Jpntz34g7bh32o9y8/t70s3bw/ND8vFbMD0IsWZRGIn8Dq6oNyzfzKhI473f8zTuff+EWDHiOAQJwEWH/HKVrh9ZUEYHi21JxEgBNQ9k0Pp8sHne7Zk31CjNhkgbjcg2reyp1SWr69Xih0fNiH01yptLkE0OR5xdgQyDaBGYs3yRKbHcej8jvIA6PzbTnicv7NtlgyXgQQyKwA6+/MeuvaGglAXSNjeL84ARkeYJvhkQDMvpgz4voCuj9QwG6Xbs0IGufkyOGjDa7/1TDA/KCgYVDoUlIB3c8LdTuvQ19vemqDvLj1QILpsJ7t5Jf/0c/RWoe+81FAAAEEohRg/R2lvj5tkwDUJxZZ1RNOQFkVbmuw2/Z/KMVzVycMnEv2sm8uxHXEpi8gne6VpZJ/U4Z2k4dX7NQ+CUgCMK6fruzsd5x2punS18seXCVV+z5KmDC9O5wov5s6ODsnEqNGAAEEXAiw/naBlAVFSABmQZB1HCInIB2jEm6fuBF3uL7UHq6ALovfZKNMN0Fpd68s1V5x71Pl91vfse4BqC4H7tnhRKnam7gADzcCqWt3egpo6iMpgUDmBeJ0bzqd+jr9mT/b3nO0bGRPGdu/S+YDSYsIIIBATARYf8ckUCF3kwRgyMBUby/ACSj7ZoZOC4js02fE6QjEYe4GlaCsW49K9t08NFce/uNO2weApGMaxrGqv+tmFkm7Fk3DqJ46EQhUIE4/iunSV6cnAKvAlFx6ltx44ZmBxojKEEAAAZMEWH+bFE3/YyEB6N+OI9MQ4ASUBl6MD1XJhVnPb5HDR45K40Y5UnpFL7m64LQYj4iuZ4OALotfJ+ugE5R1dxJWH/hExs5bH5swL5zYXy7o1iY2/aWj2SsQ9Oc2TEld+up0LlZj79q6ufzxtn8Pk4G6EUAAgVgLsP6OdfgC6zwJwMAoqciLACcgL1rmlLUSgEur5PBRkcY5IqUje5MANCe8xo5El8WvE3CYCUqny4J1DTb3FNU1MtH3K91L5MMYQVA7d8PoW8M6dehrsh2AYwo6yexR52aCgjYQQACBWAqw/o5l2ALvNAnAwEmp0I0AJyA3SmaV0T2JYpY2owlaQIfFr9OY5q3cKaXl2+u93aRRjrxSMjSQy2Ht6g/aN6j62AEYlKRZ9ej8+dUxMekUfR36eveyrfL46l0JXST5b9ZnltEggEDwAqy/gzeNY40kAOMYNQP6zAnIgCB6HEKYu5Q8doXiCPgS0GHx27DjTjv0ZhbnyaQh3XyNs+FByS67C6SBACshCRAgpiFV8eOTIYEUEZXILVlSJUdthsQTwM2JMyNBAIFwBFh/h+Mat1pJAMYtYob0lxOQIYH0MAy1COtfWlHviztP7fQASFEEbASCTqzbJTnVvw0sq7Au3df9lWoHoI5JXN1N496/oD8jcfeIa/9T3Y6ABGBcI0u/EUAgUwKsvzMlrXc7JAD1jo+xveMEZGxoHQe2bf+HUjx3dcL77NjJvrnAiIMTCHJ3U7LLJNV7M5dWyRGNk4CpLnvW+TLQ4GYENTUUCPIzgm50Asl2IvME8OjiQssIIBAfAdbf8YlVmD0lARimLnU7CnACyr7Jcc/yrTJ/VeJ9eyYM7iJ3Du+ZfSCMGIGABIJIbLlJkqgyFa+9I7OWbvGUCDzxuEby0T+OBDRa+2pU8u+eJE8VdzO+UDtI5ZEKBPEZiXQANC7qMzygtELsziTj+neW0pHnoIQAAgggkESA9TfTQwmQAGQeRCLACSgS9kgbvWfZVplvc+PuCYVd5M4RJAAjDQ6Nx14g3Utb3V4m6ed+gG1OOEbe/eTLUIwbichD4/Klb5eTkz7wxO34QukklWohkO5nRItBZHknRj60Rja99UGCwuxRvWRMwelZrsPwEUAAgeQCrL+ZISQAmQORCXACiow+soZXVx+Ua+ZXJrT/9IQCKcxtG1m/aBgBBMTaXXPB7BVyqM41vg0vqVVlbvifStmy72NPZH06nSib3/rI0zFuCjdulCOlSXb91a3DzfjctEkZBBCIRoAdgNG40yoCCJgjwPrbnFimMxJ2AKajx7G+BTgB+aaL7YGLKndLyZItCf3nl/vYhpSOGyYwY/FmWbJpb+2oRuV3lAdG97H+W11C+YMlVZ5HXHhma/nw0y+lal9wCUD18KAJg7vKxCFnJN3117CzycbneWAcgAACGRVItvtY/RiwtmSop/NBRjtPYwgggIAGAqy/NQiCBl0gAahBELKxC5yAsi/q3AMw+2LOiOMjkGyHnBqF0723Uo1Q7fC12/mb6rhk7/vZNcwOwHTEORaB6AVSPQWYJ4BHHyN6X6jbvwAAIABJREFUgAACeguw/tY7PpnqHQnATEnTTj0BTkDZNyHYAZh9MWfE8RFIdo88NYqx89Z7HkzbE46VuWPyfR3r1FjdXYleOsQ9AL1oURYBPQXmvLxD5lZUJ3Qu1Q5AHgKjZzzpFQIIZFaA9XdmvXVtjQSgrpExvF+cgAwPsM3w1K/3BaUVCe9Uzirisp3smw6MWDOByU+/KuVb3q7XK3Wp7fpZRda/2X12Uw2hbGRPuajHqTKwrEIOH01VOvX7fnb+1dTKDsDUvpRAQHcBpwRg3qknyIu3XGjbfT77ukeV/iGAQKYEWH9nSlrvdkgA6h0fY3vHCcjY0DoObNv+D6V47uqE98unFUqP9i2zD4QRI6CJgNNnU3VvZnGeXJHfUQaUVUid54O46vnM4u4yaUiudf/AmUurPB9ft5GaZGS7Fk1dtW1XiF1Avuk4EAFLIOonKTtdSdAoR2TdTPsfE9n9y+RFwByBqM9BcZdk/R33CAbTfxKAwThSi0cBTkAewQwoPv7JSqnYfjBhJNOKcmX6xd0NGCFDQCCeAvNW7ZTS5dttO99IRAbltpZV1e95Htyo/A7ywOj82sTBgnW7bS/fc1txqnt8ualHJTvXVL8rg3Lb8MODGzDKIPAvAR0S6E5XEqguOp0f2AHIFEbADAEdzkFxl2T9HfcIBtN/EoDBOFKLRwFOQB7BYl482Zf2ml1CMR8i3UcgtgLJdgCmMyh1CfDY/l1qq1DnAb+XA6e6x5ebfrJ4cKNEGQQSBXRJojk9jbxJoxx5JclTgPnsM6sRiLeALuegeCuKsP6OewSD6T8JwGAcqcWjACcgj2AxL15etU8mL9hkO4rZo3rJmILTYz5Cuo9AvAVmLN4sSzbtDXQQdrt7/2P+ellV/a5tO+oyPqfLjCcO7iqzhvfw3T8WD77pOBAB0eEyWvUZtrsVgfpxoPSKXnJ1wWlJI8Wlg0xkBOIroMM5KL56X/ec9bcJUUx/DCQA0zekBh8CnIB8oMX4kGQJwEfG5Utx7w4xHh1dzzYBUxeSD7y8Qx60ecKm3/iOKegks0edW3t4sh2AKvm3bGqh7Hr3U7l50WY5XCcT2DhHZK3D/b3c9o3Fg1spyiGQKKBDAt3pewQ/IsZ3xpr6tzS+EdG35zqcg/TVcd8z1t/urUwuSQLQ5OhqPDZOQBoHJ4SuqT/c/UsrxO5BoDwFOARwqgxNwLRLyWoWYCc1P0a++Ys1csjrkz6SSHc/pbm8NP3fa0s4JeFyckRmj+xdu4MnDGMWD6F9JKg4SwTC+Fx6oXN6AEh+55aydEqhl6ooG4KA12Re1PMpBILQqvRqG1pHIq6YOZN+AFh/p29oQg0kAE2IYgzHwAkohkFLs8vzVu6U0vL6DxoI4smeaXaLwxFwLWBaEqnul+lkl9+6BmpQMLdtc/nDrV8nAO381ENGltk8CTyMBQ+LB7+R5DgEvhII43Pp1jbZlQTlNucQt/VSLn0Br+dW0/6Wpi/oXINX2zD7okPdUZ6DdBh/un1g/Z2uoBnHkwA0I46xGwUnoNiFLO0OO3155xLgtGmpIEMCJl1GarcAs2OcWZwnZQ0S9265B3U7WRZMHFiveNSLGZ4C7DZ6lENAL4FkDxOzu9+oXr331ps4JTn8JPNM+lvqLbLeSvux9dYCpbNNgPV3tkXcfrwkAJkHkQhwAoqEPdJGZy39P1mwfk9CH0gARhoWGvcgYNKXcacFWEOOzic3kz1//9yD0tdFC7qcJM/eNCjh2KgWt1EnH30hchACCNQK5P/nS/L+54cSREy6D2DczlN+knkm/S0N8+PpxzbM/lB3/AVYf8c/hkGMgARgEIrU4VmAE5Bnslgf4HTzf3XZ4bo0b+4faxg6HzsBXRdnXpNqbncAphOgwtzW8vSEAelUEdixLDgDo6QiBCIRWF19UK6ZX2nbdsmlZ8mNF54ZSb+CbDSO5ym/fdb1b2mQ8Uy3Lr+26bbL8eYKsP42N7ZeRkYC0IsWZQMT4AQUGGUsKnL6FXPwmW3kqfH9YzEGOolAjYDXZFvYcn4XUnWPC6OPU4u6yYyL88Ko2nOd7KTwTMYBCGglMGPxJlmyaZ9tn/JOOUFenH6hVv3105m4nqf8/g3S7W+pn5iFfYxf27D7Rf3xFGD9Hc+4Bd1rEoBBi1KfKwFOQK6YjCmk7rtVPHd1wngaN8qRtSVDpV2LpsaMlYEgkEmBdHcIqM/mZQ+ukcNH7Z7Rnd5IdLosL12n9CQ4GgEE0hFQn9/Zy7fJ0s37bavp2f4EWT4t/gnAOJ+nSOalM8OTH4tteLbZVjPr72yLuP14SQAyDyIR4AQUCXtkjSa739jCif3lgm5tIusbDSMQZ4F0d4y4vRegHyOdEoCq/+yk8BNFjkEgWgE3O5W7tG4m/3vb0Gg7GlDrnKcCgqQaBBBIEGD9zaRQAiQAmQeRCHACioQ9skbZARgZPQ0bLpDujpEw7wWYiQf8eN0Z4bV8JqePzn3LpANtmS/gdq67PT8NzWsjT1xnzu1E3PqYP1MYIQIIBCnA+jtIzfjWRQIwvrGLdc85AcU6fJ4777TLaOLgrjJreA/P9XEAAgh8LZDujhF1/A+WVAVKmpMjsj7kB/ykO+5AB5xmZSaNJU0KDjdcwMtcd7tDeUxBJ5k96lzD5RgeAgggkJ4A6+/0/Ew5mgSgKZGM2Tg4AcUsYGl212kHYPm0QunRvmWatXM4Agiks2NEHVtQWhEo4rj+naV05DmB1lm3snR3PobWMR8VmzQWH8PnkCwS8DrX3e4A7N+1lSy+8YIskmSoCCCAgHcB1t/ezUw8ggSgiVGNwZg4AcUgSAF2Md37lAXYFapCAIEGAuVV+2Tygk2BuswszpNJQ7oFWmfdykw6p5g0ltACTsVGCPiZ627uAXhFn/byX1efZ4QRg4inQDo/wsVzxPQ6jgKsv+MYteD7TAIweFNqdCHACcgFkkFF2AFoUDAZinECiyp3S8mSLYGOa1pRrky/uHugddatzOtOotA6EkDFJo0lAA6qMFjA71xXx839w+uyYP0eW53CbifL0xMHGixn5tBMSZp5uazdzEgyqrgIsP6OS6TC7ScJwHB9qd1BgBNQdk0NP7/6Z5cQo0UgOoEwdgBm4vJ+kxZdJo0luplMy3EQ8DvXpz/zZ1m6eb/tEHu2byHLpw2Jw/Dp478E/M4D3QD9JrV1Gwf9yQ4B1t/ZEedUoyQBmEqI90MR4AQUCqu2laovSAPKKuTI0a+72ChHZF3IDwnQFoSOIaCRQND3AByV31EeGN0nIyM0ZQeJwjJpLBkJPo3EVsDrXE91jso75Xh5cfq/xdYj2zpuUtKMH7izbfbGe7ysv+Mdv6B6TwIwKEnq8STACcgTV+wLqy97/UsrpE7+T3JEZP2sImnXomnsx8cAEIizwD3Ltsr81bsCGUJxr1PkkWv6BlIXlSCAAAJKINXTgEf2aS9zuAdgbCaLSUkzk5KZsZlAdNS3AOtv33RGHUgC0KhwxmcwnIDiE6sgeup0ieEj4/KluHeHIJqgDgQQ8CGQameN1yobN8qRtSVDSex7haM8Agg4Ctj9iFi38Mj8DjJndD6CMREw7aoQUy5njsn0oZtpCLD+TgPPoENJABoUzDgNhRNQnKKVfl+dHjIwe1QvGVNwevoNUAMCGRTwevlaBrvmualUO2s8VygiCyf2lwu6tfFzqKdjTIqDp4FTGIEsFJj89KtSvuVt25FzRUG8JoRpCUClz9+jeM3BbO0t6+9sjXz9cZMAZB5EIsAJKBL2yBplB2Bk9DQcsICfX/p1Xhik2lnjla9Joxx5JQM7AP3EwetYKI8AAnoI2F1m2bBnmfrhQQ+RePfCpEuA4x0Jep9tAqy/sy3i9uMlAcg8iESAE1Ak7JE1um3/h1I8d3VC+5l4Umhkg6Zh4wT83OsnDomqeSt3Smn59rTj1TgnR0pH9pKrC05Lu65kFfiJQ6gdonIEEAhVwM1O5UruKRxqDIKsnHN4kJrUhYB7Adbf7q1MLkkC0OToajw2TkAaByeErrEDMARUqsy4gNddC3FZ5Dhdou8V+OkJBVKY29brYZ7Le42D5way8ACdd6lmYTgYcgOBVPcq7dK6ufzvbf+OW4wE4vDjWIw46SoCrgRYf7tiMr4QCUDjQ6znADkB6RmXsHpFAjAsWerNpIDXhF5cElVzXt4hcyuq06bM1CV4XuOQ9sAMr4CFuOEBNmB4qRKAPAQknkHmh4d4xo1ex1eA9Xd8Yxdkz0kABqlJXa4FOAG5pjKioN19xrhptxGhzbpBeEmWxCVR5XSJvpfgZvrz7CUOXsaRbWXjMkezLS6Mt75AqkuAeaAYMyZqAZKZUUeA9t0IsP52o2R+GRKA5sdYyxFyAtIyLKF1igRgaLRUHIGAly/6cUhUra4+KNfMr0xLclz/zlI68py06vB6sJc4eK07W8rHZZdqtsSDcdoLpNoB+NDYPjLinI7wIRCJQBz+zkcCQ6PaCbD+1i4kkXSIBGAk7DTKCSi75gCXAGdXvBltfQGdE1Vq4VKypEqOphk0bsCfJmBEh2fTDkCdP4cRhT82zaZKAEbxA0Rs8OhoqALZdA4NFZLKMyLA+jsjzNo3QgJQ+xCZ2UFOQGbG1WlUTg8Z4LKd7JoHjFYvAbVwGVBWIUfSzf6JCAlAvWLrpTfZsHslG8boJeZxK5vqEuCSS8+SGy88M27Dor8GCLCL2oAgZtEQWH9nUbCTDJUEIPMgEgFOQJGwR9YoOwAjo6dhBBwFnD6Xfsgy9QAQP33jmNQCJu+OY4dO6vjrXoIdgLpHKHv7x/kle2Mfx5Gz/o5j1ILvMwnA4E2p0YUAJyAXSAYVcbrH2NMTCqQwt61BI2UoCMRHIKgEYE6OyPqZRdKuRdP4DJ6eZo2A7jt0TE6+BjXJUiUA+S4RlDT1+BFgh7EfNY6JQoD1dxTq+rVJAlC/mGRFjzgBZUWYawc55+UdMreiOmHQ04pyZfrF3bMLg9EioIlAqkW1227md24pS6cUui0eaTmSLZHyR9K4zjt0SBy4mxLJLgFu2+JY2TDrYncVUQqBkARq/rac1PwY+eCzLyW33Qn8KBaSNdX6F2D97d/OpCNJAJoUzRiNhRNQjIIVQFe5B2AAiCFUQTIkBNQYVRnUA0DisvuGZEuMJmfAXdUx9jonJgPmT7u6ZD9WTCjsIneO6Jl2G1SAQLoCOp5n0h0Tx5slwPrbrHj6HQ0JQL9yHJeWACegtPhid7DTl3ceHBBdKPmiGp29Di2rz+TA2SvkcJpPAOnd8UT53c2DdRhS0j6QbNE+RKF3ULcfPHS/NDn0gHhoIFkC8OahZ8it3zjbQ20URSB4gW37P5TLHlwjh49+/VStJo1y5JWSoewEDJ6bGn0KsP72CWfYYSQADQtoXIbDCSgukQqmn+qLUfHc1QmVlU8rlB7tWwbTCLW4FiAZ4prK2IKly7fJvFV/S3t8j4zLl+LeHdKuJ+wKSLaELaxH/bol+ZKpcB52P2eSXQJ8aovjZN2si9xXRkkEAhZQP6jOXFoldr+n8YCsgLGpLi0B1t9p8RlzMAlAY0IZr4FwAoo+XplcKN2zfKvMX7UrYdATBneRO4dz6U6mZwPJkMyJZ/Jz5nZUqk8DSivkiNsDkpSLMgHoxZZkSwDB1rwKtQiftbRKDh8VaZwjUjqyt1xdcJrWvWYntrvwJNsBmCMi62fxECJ3kpQKWsDub0tNG+wADFqb+tIVYP2drqAZx5MANCOOsRsFJ6BoQ5bpRcc9y7bK/NU2CUDu3RPJRCAZkhn2TH/O3I4q2W4at3WoclEuvP3Y+jnGiwdloxOwktplFfV24DTKEVkXg6dTe0lkRyccfcvXzF8nq6vfs+2Im11W6kqENdXvyqDcNlx5EH04jemB09/Txjk5Ujqyl/Y/QhgTCAbiSoD1tysm4wuRADQ+xHoOkBNQdHGJIvnDJcDRxdupZZIh4cYkis+Z2xFZ9/8rq7B2SqXzmlmcJ5OGdEunCl/HpmNLssUXufYHlVftk8kLNiX0M8odqtqjxayDM5f8RRZWvpXQazeJ3hmLN8uSTXtrjx2V31EeGN0nZgJ0V0cBu79Hak4um8otbnSMV7b3ifV3ts+Ar8ZPApB5EIkAJ6BI2K1Go7j8kwRgdPFO1jLJkPDiEsXnzMtoVAL4B0uqvBxSr+zUolyZcXF338enc6DutumMjWP9CZAA9OcWl6OSXQJclNdWHr+uwHEofP+IS5Tj209+UI1v7LKt56y/sy3i9uMlAcg8iESAE1Ak7Faj6eye8dvrOS/vkLkV1QmHTyvKlekRJRH8joXjEHAjEMXnzE2/asrYXTLp9vhZxXkyMYKdf3X7fsHsFXKozh3XudeS2+iZWS7OlwCbGZFgR+WU4FWtjC/sIj8c4Xwv4Xmrdkrp8u0JHZo1PE8mDs78DuZgZahNFwF+UNUlEvQjmQDrb+aHEiAByDyIRIATUCTstY1m+tfKx1ZWS1n5joRBzyzuLpOG5EaLQesIhCSQ6c+Z22GohcpvNu+1XRSnqkOXz6yutqn8eD88AeshIM9vkcNHjkrjRjlSegX33wpPO7M1L6rcLSVLttg2WpTXRh6/rr9jh9gBmNlY0RoCCOgrwPpb39hksmckADOpTVu1ApyAop8Mmfy10unL++xRvWRMwenRY9ADBEISyOTnzM0Q6ibO3JRvWEanzyw39fcTQbOP0e3zZrZ25kaXbAfg2P6dpGzkuUk7wz0AMxcrWkIAAX0FWH/rG5tM9owEYCa1ReSf//ynPPXUU/Lcc8/JX/7yF/n73/8uxxxzjHTs2FEGDRokkyZNkgEDBqTs1YsvviiPPfaYVFZWysGDB6Vt27ZSUFBgHT9s2LCUx6sChw4dkscff1wWLFggr732mnzyySdWPy666CKZOnWq9OjRw1U9fgpxAvKjFt9juD9TfGNHz4MViDJBYXdZstfR6fJQBVN3AEY5P7zOBcqnL0C8Uxsqo4rX3nHcAfj0hAIpzG2bsiJ+MEhJRAEEEDBcgPW34QF2OTwSgC6hgii2Z88eGT58uFRVJb/x+vTp0+XnP/+55OTkJDR79OhRuemmm6zkn9NLJQF/+ctf2h5fc8x7771n9WX9+vW21Rx33HHyyCOPyA033BDE0BPq4AQUCqu2lTrdwLtyVpG0a9FU237TMQSCFIg6aeX08AwvY9ThM6v7/RW9eNYtG/X88NtvjvMnQLxTu7nZsazLjxKpR0OJOAuQrI9z9Oh7jQDrb+aCEiABmKF5oHbbnXfeebXJv3POOUdmzJgh3bt3l48//lhWr15tJf0+/fRTq0f333+/3HbbbQm9mzVrlpSVlVn/np+fL7fffrt069ZNdu7caR2zadMm6z1V7p577rEd3eHDh2Xo0KGycuVK6/1Ro0bJxIkT5eSTT7YSguq4AwcOSOPGjWX58uVyySWXBK7ECShwUq0r5B48WoeHzrkQSPfLvw5JqyB2AOqQADTxKcA6zA8XHwOKBCRAvFNDuj1fTS3qJjMuzktdISUQ8ClAst4nHIdpJ8D6W7uQRNIhEoAZYv9//+//ybe+9S2rtYEDB8qqVausBFvd16uvvmq99+WXX0qrVq2sJFyTJk1qi1RXV8vZZ59tXbrbt29fK4HXrFmz2vc/++wzufDCC2Xjxo3Wcdu3b7eSgw1fTz75pFx//fXWP0+ePFkefvjhekVUO+eff7589NFHcuaZZ8q2bdvq9SMIMk5AQSjGpw6ewhefWNHTRIEgvvzrkrRSYylZUiVHfQZ64cT+ckG3Nj6PDuYwE5MnusyPYCKkZy3pJvGDHBXxTq3pdsfyqPwO8sDo/NQVUgIBHwIm/r3xwcAhhgiw/jYkkGkOgwRgmoBuD1e7/ebMmWMV/+1vfyuXXXaZ7aFqN97SpUut99Slwr169aotN2XKFOuyXPVau3at7b0C161bZyUR1et73/ue/OIXv0hop2fPnlZSTyUZ1YmgefPmCWXuvfdeKSkpsf7917/+tVx55ZVuh+qqHCcgV0zGFGIHoDGhzLqBBPXlP6h60g2A6sfA2SusJ6V6fTXOyZG1M4dqcdl+EElZr+MPs7wu8yPMMUZZt27zhXinng1udwA+NLaPjDinY+oKKYGADwGS9T7QOERbAdbf2oYmox0jAZghbpWMq9lpt2XLFlFJOLuXuuz3Zz/7mfWW2smnduKpl7r3X+fOnWXv3r2Sl5dnPbTD6aXe37Fjh3Tq1EnefPPNevcC/Otf/ypnnXWWdai6l+Cjjz5qW83bb78t7du3t94bO3as9aCQIF+cgILUjEddIx9eI5v2fFDb2fzOJ8nSKYPi0Xl6mbUCQX751yEJ4XZXjV3AJw7uKrOGh/dwKK+TTKcdXV77bldeh/kRxDh0q0PXZBvxTj1T3NwDcGZxd5k0JDd1ZZRAwIeArucPH0PhEASsjT8qn6Be6tkEKlfAK/sESABmKOYPPvigTJs2zWrNzQ5A9QCQDz74QE488UTrmDfeeKP2ct4bb7zResiH00u9X/OQEHVc165da4s+8cQTMn78eOu/Fy1aJFdffbVjPer+hK+//rqcdtppsnv37kClOAEFyql9ZeoL1ICyCqm76ahRjsi6mTwERPvgZXkHg/7yH3XSytoBWFYhh71vAJTyaYXSo33LLJ8R4Q4/6vkR7uiiqT3IJH7QIyDeqUWV0Q+e2ywrXn/PtnBx71PkkXF9U1dECQR8CpCs9wnHYdoJsP7WLiSRdIgEYIbYDx48KLm5udZ99QYNGiR/+tOfEu4BqB7gMWDAAPnnP/8pY8aMkYULF9b2Tj2MY8SIEdZ/q0uJb7nlFseeq/fVJcfqpY4rLi6uLVt3h6Fqr0+fPo71XH755VayUiUj1YNKjj/++MC0OAEFRplWRZlafJRX7ZPJC756QE3dF0/vSyt8HJwhAVO+/Nd83pf93z5ZuH6PZz0d7v/nudMckPUCQSfxsx40AoBzfvyifPTFYduW2QEYQUCysEl1Htm46+/WyPt2OVmLW2FkYRgYcpoCrL/TBDTkcBKAGQykurffuHHj5PPPP7ee4KuSeOpy3E8++UTWrFljPQVYJdpUUu6FF16QU089tbZ3asffd7/7Xeu/n3vuudoHith1X92z76qrrrLeUsepHYE1L7Xjb/HixdZ/qqRkmzbON3Ove9myeqCI2hHo9qVOMMle+/fvl4KCAqsIW5DdqgZbLpNJDRKAwcaO2jIvkKlkeVgjU5/3WUurrJ1/jUTkiMeGGjfKkbUletz/z2PXKY6AZPLvHdzBCsxbuVNKy7c7VqrDk8mDHTG16SjAOUTHqNAnrwIkAL2KmVmeBGCG46oevvHAAw+IuhRX3dev7uuUU06RO+64QyZNmpSw2+6nP/2p3H777VZxlRwcNmyYY8/V+zW7/tT9BG+99dbassOHD5fy8nLrv1UismnTpo71qL7cf//91vt170fohkztGnT7IgHoViq4cpneEbG6+qBcM78yYQBPTyiQwty2wQ2MmhBAIEHA7hJ8L0zqcv2ykb3l6oLTvBxGWQS0Eoh7El8rzAx1xs25i1sTZCgYWdxMpr8zZzE1Qw9ZgARgyMAxqZ4EYAYD9eWXX8p//ud/yrx58+TAgQO2Lffr10/uuusuUYm6uq+7775bfvSjH1n/VFFRIUOHDnXs+YoVK6SoqMh6Xx1355131pZV/67eV6/Dhw9Lo0ZqL4j9S7WnjlevVatWSWFhoWstEoCuqSIpmOl7Is15eYfMrahOGOu0olyZfrH7naWRYNEoAjEXcNqBm2pYHVoeJ3eO6MHlTqmgeB8BBEIRcPPQolnD82Ti4G6htE+lCCiBTH9nRh2BsARIAIYlG696SQBmKF6ffvqptStv5cqV1r3/1K6866+/Xs444wz54osvZP369fKTn/xEVq9ebd1zT93Hr+ahIaqLcdsByCXAGZpYPpvJ9K+Ziyp3S8mSLQm9nT2ql4wpON3nKDgMAQTcCPhNAI7s017mXH2emyYogwACCAQu4OahRVxJEDg7FTYQyPR3ZgKAQFgCJADDko1XvSQAMxSv73//+9Y9/tTrySeflGuvvTah5UOHDsk3vvEN+eMf/2jtzFMP6TjnnHOscnG7B2AqVk5AqYTCfz+T9zNRX54KSisSBsW9e8KPMy0g4OYyOjsldugydxBAIGqB0uXbZN6qvzl2g4cTRR2h7Gg/k9+Zs0OUUUYhwPo7CnX92iQBmIGYqHv9qYdt/P3vf7ce+rFjxw7HVtXDQGoutVUPCVE7AdVr2bJlctlll1n/O52nANdNRPIU4AwEX/MmMnVPJBKAmk8Eume8gPUQkOe3yOEj9e89m2zg7KwxflowQAS0F3D6/qA6rm43vX5mEU9k1T6K8e8gTwGOfwwZgQgJQGaB9bfzaMMnUeASuMDbb78t7du3t+odPXq0PPPMM45tqMuBmzVrZr2vHvShHuihXm+88YZ06/bVPU7UU33VjkCnl3r/scceqz2ua9eutUXVw0fGjx9v/feiRYtEPRXY6aWe+vv666/LaaedJrt37w7UhRNQoJzaV/bYymopK09MfM8s7i6ThuRq3386iIAJAmoBU/HaO7aX49uNj501JkSdMSAQb4FkCcDeHVrI76YOycgAM/WDaUYGQyOeBNj954mLwhoLsP7WODgZ7BoJwAxgv/vuu9K27VdPOr3yyivl17/+tWOrH3/8sZx44onW+yNGjJDf/e531v9WedpOnTrJvn37JC8vT1577TXHOs4++2zZvn27dOzYUdQTdus+kEMl9FRiT71uuukmefTRR23rqZu0HDNmjCxcuDBQKU5AgXJqX9mMxZtkyaZ9Cf0cld9BHhidr33/6SACpgg4PZCn4fjUc9zXzzJvZ43ui3jd+2fK54BxxEcg2YNA8ju3lKVT3D+gzu+oSQD5lYv/cdz/L/4xZARfC7D+ZjYoARIfWjdpAAAgAElEQVSAGZgHR44ckVatWslHH30kHTp0sHbTNWnSxLblupf63nzzzfLggw/Wlps8eXJtwm7t2rUyYMCAhDrWrVsnAwcOtP5dlX/44YcTyvTo0cNKIJ588slWgrB58+YJZe69914pKSmx/v3ZZ5+Vq666KlApTkCBcmpf2erqg3LN/MqEfnKJofaho4OGCTy2cqeUlW9POari3qfII+P6piwXpwK6L+J171+cYk1fzRFItgOwUY7IupAvASYBZM5c8jMSngDsR41jdBVg/a1rZDLbLxKAGfIeO3asdcmtev34xz+Wu+66K6Hl999/37r/37Zt26z3XnrpJeuhIDUvtXuvZ8+eoh4W0rdvX+uJwjWXC6syn3/+uQwZMkQ2btxoJRhVPWeeeWZCO3UvA54yZYo89NBD9crs3LlTzjvvPCthqS47VrsJnRKWfvk4AfmVi+dx3AMwnnGj1+YJuH0i8CPj8qW4dwdjAHRfxEfdP3YeGjPVjRzI5KdflfItb9uOLexbFZAAMnJKuR5U1Odm1x2lIAIuBFh/u0DKgiIkADMUZJVEO//88+Wzzz6zWlQP9FBPAj7jjDNE3fdP7dz7r//6L3nzzTet94uKiuQPf/hDQu/Urjy1O0+98vPz5Y477rCSdCppd99991lPDlYvVa6srMx2dIcPH5YLL7xQ1ANH1Etdljxx4kRrl2JlZaXcfffdcuDAAetJxGpH4qWXXhq4EiegwEm1rtAp6WBakkHrINA5BEQk2W6aukCmPaFb90V8lP1j5yGnBp0F1DlrYFmFHLZ5flHjRjmytmRoqA8BIQGk8+zITN84R2bGmVbCF2D9Hb5xHFogAZjBKKmEnrqfnronYLLX0KFDrfsEqoRcw5e6nFgl69QuPqeXesiHegiISuA5vVQfiouLZcOGDbZFjj32WGtnoGorjBcnoDBU9a2TBKC+saFn2SWgFrNXPLRa9n34D8eBZ+q+WpmU130RH1X/omo3k7HPtrZM282Z7B6AQ/PayhPXFYQeYhJAoRNr34BpnyvtwelgKAKsv0NhjV2lJAAzHLL33ntPHn/8cevpvlu3bpUPPvjAurz21FNPlX79+om6VPib3/xmvQd32HWxvLzcSvKpBJ5K5rVp08Y6Xj0B2O2OPXUp8bx586wHfKh7An766afWPQrV7sNp06ZZlxuH9eIEFJasnvVu2/+hFM9dndC58mmF0qN9Sz07Ta8QMExA3f/vvhd2yOGjNltp6ozV1M+l7ov4KPoX5c5Dwz5eWgwnijkU9sDnrdwppQ73LR2c21qempB4P+ww+kQCKAxV6kQAgUwKsP7OpLa+bZEA1Dc2RveME5DR4U0YHIvM7Io3o9VPINkiumFvTbv8t+74dF/EZ7p/7ADU77Pqt0cmxjLVLQtKLj1Lbrww8V7Xfg05DgEEEDBZgPW3ydF1PzYSgO6tKBmgACegADFjUBU7AGMQJLporIBaRA8oq5AjyTf+1Y4/7JvqGwsd04GZuGsspqFIq9sm/tCW6qFFs4bnycTB3dJy42AEEEAgWwRYf2dLpJOPkwQg8yASAU5AkbBH1ij3AIyMnoYRkGT30GrIk5Mjsn5mUag31Sck+glkeuehfgLB9ChKRxN3AKZKALIDMJh5Sy0IIJAdAqy/syPOqUZJAjCVEO+HIsAJKBRWbSslAahtaOhYFgjYJQacht25VVNZdUdRFqgwRASCFdBhJ6UOfQhSNdUlwEV5beXxDDwEJMgxURcCCCAQlQDr76jk9WqXBKBe8cia3nACyppQWwN1+hJv8r3GsivCjFZ3AZUY+MGSqpTd7Hf6SfLcdwelLEcBBBD4WkCn3XdR7kIMY04U/eyPsvPdz2yrLhvZU8b27xJGs9SJAAIIGCfA+tu4kPoaEAlAX2wclK4AJ6B0BeN1PPcAjFe86K07gTgttFUCsGRJlaS6DWB+p5ay9HuF7gAohQACloCJ99/TIbSpdgDOHtVLxhScrkNX6QMCCCCgvQDrb+1DlJEOkgDMCDONNBTgBJRdc2Leqp1Sunx7wqC5gXd2zQOTRhunS+28XAI8vrCL/HBET5NCxVgQCF2AHYDhEKe6f+m0olyZfnH3cBqnVgQQQMAwAdbfhgXU53BIAPqE47D0BDgBpecXt6NXVx+Ua+ZXJnT76QkFUpjbNm7Dob9ZLqDTYt9NKFItouvWMb7wdPnhiF5uqqUMAgjUEdDhRwEd+hDkpHC6eqCmjYfG9pER53QMsknqQgABBIwVYP1tbGg9DYwEoCcuCgclwAkoKMl41MPlUfGIE710J6DbfE51KbKXHYD9u7aSxTde4A6CUgggUE8g1WcxTK64/TDhxiLVjxdcReBGkTIIIIDAVwKsv5kJSoAEIPMgEgFOQJGwR9aoiQuTyDBpOHIBneaz2x0/bh8CMrWom8y4OC9yYzqAAALeBHT7YcJb7+1LO109UFO6fFqh9GjfMoimqAMBBBAwXoD1t/EhdjVAEoCumCgUtAAnoKBFvdeX6Z0KKgEx6/ktcvjIUWncKEdKr+glVxec5r3jHIGABgJuE29hdtVLIjLVpXQ1/eTJ3GFGjLoRCE/Ay/kgvF4EW7PT/YNVKyc2bSL/9+NLgm2Q2hBAAAGDBVh/GxxcD0MjAegBi6LBCXACCs7ST01RJC9UmzOXVsmRoyKNckTKRvYmAegneByjjUCmk+gNB+52x0/dz14yvM6tmsmqO4Zq4xtGR6KOWRhjok4EagSi+Nsepn6qHy74wSJMfepGAAHTBFh/mxZRf+MhAejPjaPSFOAElCZgGodHsUtAtTmgrMJK/tW8VBJw3cwiadeiaRqj4VAEslfAzWdZlRk4e4W18zbVa0xBJ5k96txUxWL7vmnJkdgGwuCO65Bg1qEPQYVYjaWgtMKxutmjesmYgtODao56EEAAAaMFWH8bHV7XgyMB6JqKgkEKcAIKUtNbXW53DXmrNXnp8qp9MnnBpoRCj4zLl+LeHYJsiroQyCqBVEmt0uXbZN6qv7kyGZnfXuaMPs9V2bgVcpMsjduY6K9eAqk+i3r1Nh69cfruUNP7aUW5Mv3i7vEYDL1EAAEEIhZg/R1xADRpngSgJoHItm5wAoou4lEshBdV7paSJVsSBs2v99HNA1o2R8Bpx4+1+6+sQg6n3vxnYZx1yvHy++n/Zg5MnZFE8cOHkZAMylYgir+r2RCKVAlAHgIS71lg0m7VeEeC3meLAOvvbIl08nGSAGQeRCLACSgS9tpGM71TgR2A0cab1rNTwCnp5aRx8vHHyJ9/+A0jsUjQGBlWbQZFgjmcUCS7BPjYxjnyemlxOA1Ta+gCmf4eGvqAaACBGAiw/o5BkDLQRRKAGUCmiUQBTkDRz4pM/vKq2upfWiF1NyLliMj6WdwDMPqZQA9MFUh1A/2G4zZ5B6AaKwtOU2d69OMiwRxODFLdA5AdgOG4h10rn5ewhakfAXsB1t/MDCVAApB5EIkAJ6BI2CNrlARgZPQ0nMUCXncAjuzTXuZcbeY9AGumQSZ/+MjiqZeVQyfBHHzYU53DZg3Pk4mDuwXfMDWGKsCO2VB5qRwBRwHW30wOEoDMgcgEOAFFRh9Jw1wCHAk7jWa5gN0ui2QkM4vzZNIQFtNZPm0YfhoCJJjTwLM5dN7KnVJavt2xUnYABuudqdrYAZgpadpBoL4A629mBAlA5kBkApyAIqOPpGEeAhIJO40iUO+y11QcM4u7y6QhuamK8T4CCCAQuoBKEg0orZAjDi21PeHY/5+9c4Gvorj++EmCiCjyBglEokQTIQhRTHgEqkSqBFpJqvK0VXlUAaHgM4lYqiSgtlBUwAI+/sqjWE2oQtTixUrCIxEMkoCkBoUiKPJQfKBVQ/6fWbzhknv33r17Z3dmdn/38+mnkjt7Ht8zO3fn7JkZevfBQZbbAQXWEEDFrDVcIRUEghHA/Bv9AwlA9AFhBDAACUMvRDEqAIVgh1IQ0AiwifRvl5bR7kPfBCUyNSOBpg1KBDUQAAEQEE4g1PLf5NjzaM2UXwi3EwaYJ4CKWfPscCUImCGA+bcZas67BnsAOi+mSniEAUiJMHEzUm8j73IcAsKNMQSBQDAC0/7+HhVt/zQoJCynQx8CARCQhUCoA0CG9exAfw1jz1Ikm2SJLOwAARAQRQDzb1Hk5dKLBKBc8XCNNRiAXBNqzVG900iRcHBXP4C34ggMe6qEtn/yla4BTRtH066HB4szEJpBAARAoAGBvKIdtLxsf0Au2SmxNHd4iiFmbLlpXlEl1dYRxUQR5Wd1pxGpFxq6Fo1AAARAwCkEMP92SiQj8wMJwMj44WqTBDAAmQSn6GVLSvZQ/lr/jbxxgp+iAYXZyhG44uE36diJn3TtHpjYmp69rbdyfsFgEAAB5xIIVgV418CL6e5fXhbSeW0vwQIPnaw73TQ6imhLbga1a9Yk5PVoAAIgAAJOIYD5t1MiGZkfSABGxg9XmySAAcgkOEUvQwWgooGD2Y4hcMWf3qRj3+knAGdnJ9PI1M6O8ReOgAAIOIPAtX/5N9Uc/tbPmf4JrenFcaFfWmAPYmf0A3gBAiAQOQHMvyNn6AQJSAA6IYoK+oABSMGgRWhy1oKNVLH/y3opKXEtqGhSvwil4nIQAAEjBK6b+2+q/tx/Eu29FvtxGqGINiAAAnYTeGTNTnqmdK+f2rHp8TRjaLeQ5iABGBIRGoAACLiEAObfLgl0CDeRAEQ/EEIAA5AQ7MKUYgmOMPRQ7BICwTa4D7WZftpFLWnV7/u6hBTcdCsBHAKhZuQjTeDh+UPNuMNqEAAB/gQw/+bPVEWJSACqGDUH2IwByAFBDMOFSB/gw1CFpiDgOgJsg/sHV1fRTyfrqFF0FM0alnzGBveb9hyhUUvKdLksG5dK6QltXccNDruHQKh7xD0k1PN03rpqmu+p8TM8nEPEtENAVldR7ck6iomOovwGY6R6VGAxCIAACIRPAPPv8Jk58QokAJ0YVQV8wgCkQJA4mogEIEeYECWEgKzVQ8yuvrPXa8k/74clATflDKzf4F5vD07W/uxGUVQ9K1MIUygFATsIGLlH7LADOsInEKx6OTczkSYMSDAsVNYx3LADaAgCIAACERLA/DtCgA65HAlAhwRSNTcwAKkWscjsxRKcyPjharEEZK4e0qvuWzE+jfp2aaOBW1m+j3IKqwJCzErpQPOGXyEWMLSDgIUEjNwjFqqH6AgIBKtezkxuTwvH9IpAOi4FARAAAXcRwPzbXfHW8xYJQPQDIQQwAAnBLlTp9FXbqbDiQL0N2Skdae7wnkJtgnIQCEWAd/UQ7yqU0prDNGZpuZ8bvst6Z63dSUtL/DfRZxclx55Ha6b8IhQGfA8CyhLgfQ8rC0JBw4NVL0/J6ELTByUp6BVMBgEQAAExBDD/FsNdNq1IAMoWEZfYgwHIJYH+2U1MwNwVbyd5y7N6yIpKwiUleyh/7W4/5HlDkmh8/y7a3xdvqKGC4uqAYWl/XmMqe3CQk0IGX0DAj4AV9x4wW08gWAVgbmYSTRhwaozDBwRAAARAIDQBzL9DM3JDCyQA3RBlCX3EACRhUCw0iWcSxUIzIRoE/AjwSl7zktPQQL0KGd8N8m9/vozW7z4SMLrXXNqanru9NyIPAo4nwLv6NhAwO3Q4IVBGOQWrAByXHk8PDu3mBBzwAQRAwCABo2OHQXGua4b5t+tCHtBhJADRD4QQwAAkBLswpUaWKQozDopBIAQBHtVDVibBgy2vX7JhD+UX+1cIel1OjW9JL93R1zV9AJMH14Tadkd5jBO2Gy1AYTic9A4QY2bPzk6mkamdBXgAlSAAAiIIhDN2iLBPBZ2Yf6sQJettRALQesbQEIAABiB3dYtJy7fR2srP/Jz2XaboLiLwVjUCkSaOrKoA9HJklTIba45Qv4Q21LVDc+3PgQ7faci9S5tzyHPPQNXCYcpeTB5MYcNFBghYfX8bMEGJJuFyCpYALM/LqD/pXAnnYSQIgIBpAuGOHaYVOfxCzL8dHmCD7iEBaBAUmvElgAGIL0+ZpbEf7dR8T0ATnxrVk4Ze3lFm82EbCHAjYHcCKtj+WV6nEtufS29Ou5qbj7IKwuRB1sg4wy4rK3ydQeiUF+Fy0nuJgf3/nNQr4AsIhCYQ7tgRWqI7W2D+7c64N/QaCUD0AyEEMAAJwS5EabAkxNSMBJo2KFGIXVAKAiIIRFpJGI7NTFdavofqglyUEteciialhyNWybaYPCgZNmWMRoLZWKjMcOr/6Hra/8V39QpimzehTTkZxhSiFQiAgCMImBk7HOE4Zycw/+YMVFFxSAAqGjjVzcYApHoEjdsfrAIQe/gY54iWIBAugWD3nldWQVY3GpUWH65o5dpj8qBcyJQz2O4KX+UA/WxwOJywf7CqUYbdIMCfQDhjB3/tzpCI+bcz4hipF0gARkoQ15sigAHIFDZlL9I7iAB7+CgbUtcZbmflHi+4RpYArxifRn27tOGlUmo5mDxIHR5HGKfiOCECvFFO01dVUGHFQT8Ts1Niae7wFBGmQycIgIBAAoH2OxZojnKqMf9WLmSWGIwEoCVYITQUAQxAoQg563ttKWKBh+p81iJGRxFtycUm3s6KtDO9UTVxFOoEYBYttyXhjSYenNmT4RUIqEVg8YYaKiiu9jM6NzORJgxIUMsZWAsCIBARAVWfxSJymvPFmH9zBqqoOCQAFQ2c6mZjAFI9guHZj/23wuOF1vIQ4Ll01M7kE9PVp8BDtUE2AGzcKIr+MytTHtiwBARAAAR8COhtY+C2FxfoFCDgdgI8n8XczBLzbzdH/7TvSACiHwghgAFICHZhSuetq6b5nho//cVT06lrh+bC7IJiEAhFgFfy2u4310aW/57TiOiDWUNCIcD3IAACICCEABKAQrBDKQhIR4DXs5h0jtlsEObfNgOXVB0SgJIGxulmYQByeoRP+8ce4HsXeOhkgEokN+0/5p6IO8tTI2+dQ1X2GZHBm5p23+V76GQQwVd1bkH/uLMfb9WQBwIgAAJcCGAJMBeMEAICyhMQ8RylPLQADmD+7cSohu8TEoDhM8MVHAhgAOIAURERem/tYqKiaHPuQGrXrIkinsBMtxIIVr1npLJP1JvrvKIdtLxsv27YxqZ3phlDk90aVvgNAiAgOQEcAiJ5gGAeCNhIwMjzlo3mKKkK828lw8bdaCQAuSOFQCMEMAAZoeSMNuzErsz5pX7OTMlIoOmDEp3hJLxwPIFAVX5G30gbbccb4sryfZRTWKUrNiOxDT1zWxpvtZAHAiAAAlwITP37Nvrn9s/8ZN3Q8wKaP+JKLjogBARAQB0CoVZcqOOJGEsx/xbDXTatSADKFhGX2IMByCWBJiJR1U/uIQxPRREIp2+LeHNdXHmQJi6v0MUzOLk9LRrTSxQ+6AUBEACBoAS6ziimEz/67x/SuulZtO2hX4IeCEhHAAkq6UICg3wIYP6N7sAIIAGIfiCEAAYgIdiFKBVV/STEWSh1FYFw+7bdE4PSmsM0Zmm5bkxGpXaiguwerooZnAUBEFCDgN4BIMz6Lm2akueea9RwBFa6hoCIF32ugQtHuRDA/JsLRuWFIAGofAjVdAADkJpxM2v19FXbqbDiQP3l2Skdae7wnmbF4ToQkIaAzA/801ZVUFHFQV1Ws7OTaWRqZ2lYwhAQAAEQ8BIIVsHcr0srWj6+D2CBgDQEwn0hKI3hMMRVBDD/dlW4dZ1FAhD9QAgBDEBCsAtRiociIdih1EYCdlf2GXUta0EJVez/Srd5eV4GDuExChPtQAAEbCUQLAGYEnc+FU3qb6s9blYm62+cTDEJZ0sQmeyGLe4igPm3u+Kt5y0SgOgHQghgABKCXYhSPBQJwQ6lIECXz3yDvvq+NiCJpo2iaNesTFACARAAASkJ6B0gxowdmNianr2tt5R2O80omavcZWKNl90yRQO26BHA/Bt9gxFAAhD9QAgBDEBCsAtRqvcQXzw1nbp2aC7EJigFAacTCLX/XxQRfTxniNMxwD8QAAFFCeSv3UVLSj4OaH1y7Pm0ZgoqAK0OLZJa4RFGsjQ8XmhtPwHMv+1nLqNGJABljIoLbMIA5IIg/+yi3jKehaNTKLN7rHtAwFMQsJHAxGVbqbjqkK7Gtuc2ondnXGejRVAFAiAAAsYIsMRTnwIP1fofAKwJuL3fhfTQr7obE4ZWpglgBUf46LBcOnxmuMI+Aph/28daZk1IAMocHQfbhgHIwcFt4NrK8n2UU1jl5zAOIHBPH3CqpzI/6Ic6ACSuZRMquT/DqaGBXyAAAgoT0Es8eV3KTomlucNTFPZQDdNRAahGnGAlCBglgPm3UVLObocEoLPjK613GICkDQ13w5AA5I4UAiUgYHapj11Jw8UbaqiguFqX1PXd2tHTt1wlAUmYAAIgAAJnEmDjZO8CD53UqQCcktGFpg9KAjYbCJj9rbPBNKgAARAIkwDm32ECc2hzJAAdGljZ3cIAJHuE+NmHBCA/lpAkBwGzVRF2TqRyCt+nleWf6AKbmpFA0wYlygEUVoAACIBAAwKz1uykpaV7A3LJzUykCQMSwMwmAna9uLLJHagBAdcSwPzbtaE/w3EkANEPhBDAACQEuxCl2ANQCHYotZCAmX2RzCYNzbqRlr+ODn39g+7ly8alUnpCW7PicR0IgAAIWEpg3rpqmu+pCagjKyWW5mEJsKX8IRwEQMB5BDD/dl5MzXiEBKAZargmYgIYgCJGqIwAlvhIy/eQ70oedgJpWV4GtWvWRBk/YCgIeAmYSeaZSRqaJc7sS833BL18xfg06tuljVkVuA4EQAAELCUQbBuDjMQ29MxtaZbqh3AQAAEQcBoBzL+dFlFz/iABaI4broqQAAagCAEqdHmgvXyio4i25CIBqFAYYWoDAuEu5zWTNDQLPdQG+kxuORLwZvHiOhAAARsI6K0eYKpzM5NowoAuNlgBFSAAAiDgHAKYfzsnlpF4ggRgJPRwrWkCGIBMo1PuQjsrn5SDA4OVJhDuvkjhJg3NwglVAYgTgM2SxXUgAAJ2EVhRtpdyi3YGVPfUqJ409PKOdpkCPSAAAiDgCAKYfzsijBE7gQRgxAghwAwBDEBmqKl5TWnNYRqztNzPeOxBpmY8YXVkBMJNGprRFioBmBzbjNZMGWBGNK4BARAAAVsIDJ2/gao+/TqgruyUWJrr0D0A7fiNsCWAUAICICAdAcy/pQuJEIOQABSCHUoxALmnDywp2UP5a3f7OZw3JInG98cSHvf0BOd7KsvELdQS4MHJ7WnRmF7ODwg8BAEQUJbAtX95m2oOnwhov1NPAbarSlzZTgHDQQAEIiKA+XdE+BxzMRKAjgmlWo5gAFIrXpFYiwrASOjhWlUIyDRx2/XpccqcX6qLzqmTZ1X6CuwEARAITeDOF9+l13d+HrChE/cwtXOf2ND05Wghy0s1OWjAChCInADm35EzdIIEJACdEEUFfcAApGDQTJqst5H3wtEplNk91qRUXAYC8hCQbeIWqgIQ9548fQeWgAAIBCawsnwf5RRW+X3p1OW/2C/5zFDL9FIN9ygIOIUA5t9OiWRkfiABGBk/XG2SAAYgk+AUvEzvIX52djKNTO2soEcwGQTOJCDbxC3Y5vnMcidWz6BPggAIOIvArDU7aWnpXj+nzO4fLHs1mWwvkkT2JrAQSR+6nUwA828nR9e4b0gAGmeFlhwJYADiCFNyUagAlDxAMC9iArJNVob/bROVffxFQL/ObRxDOx++PmKfIQAEQAAErCLAxtS0fA/VBVBgZv9gVarJVLHTqrh75cr2Us1qfyEfBOwigPm3XaTl1oMEoNzxcax1GIAcG1o/x7AHoHti7WZPZZq43bnsXXq9KvDeWb06t6CX7+zn5lDBdxAAAckJBNvGIGfwpfT7X1xi2APZXtCEMlz2SsVQ9vP4XrWY8fAZMkDADgKYf9tBWX4dSADKHyNHWogByJFhDegUTgF2T6zd7qksEze9ZfcsPu3PP4vKcn/pmFDJwtwxQOEICEhAgN3XqfmegJZc1LopvX3vNYatRDWZYVRSNZTppZpUYGAMCERAAPPvCOA56FIkAB0UTJVcwQCkUrQis1XvRNLiqenUtUPzyITjahAAAT8Ca3YcoMkrtgck063DebR26i8cQQ0TREeEEU6AQEAC1837N1Uf+tbvuygiKsvLoHbNmhgih2oyQ5ikbIQXPFKGBUYpTADzb4WDx9F0JAA5woQo4wQwABlnpXpLvTf5OIhA9cjCflkJjFmymUr3HAtoXm5mIk0YkCCr6YbtwqTeMCo0BAElCdz+fBmt330koO0rxqdR3y5tDPuFlwWGUaEhCICAgwlg/u3g4IbhGhKAYcBCU34EMADxYym7JBwCInuEYJ/TCPR65F905NsfA7rllMpbLOtzWq+FPyBwJoHhT2+isr3+hxmFWwHolYpqMvl6GGIiX0xgkbMJYP7t7Pga9Q4JQKOk0I4rAQxAXHFKLUxvP7LZ2ck0MrWz1LbDOBBQjUCwvbOYL+FWzsjqv9mtBTDhlDWisAsEziTwt3c+pNmv/8cPy+Dk9rRoTC/gUpwAqjIVDyDMV5IA5t9Kho270UgAckcKgUYIYAAyQskZbVAB6Iw4wgvzBOxMOgU7PZN54JSl92YqADHhNN+HcSUI2E0gt2gHrSjb76d2VFocFWRdHrY5do7DYRvnsguwhYPLAg53pSGA+bc0oRBqCBKAQvG7VzkGIPfE3myljnsIwVMnE7A76VRac5jGLC0PiPScs6Lpg0cGOwJ3uBPIcNs7AhKcAAGFCaTP8dAnX37v50HPTs1p9eT0sDyzexwOyzgXNjbzAseFmOAyCHAngPk3d6RKCkQCUMmwqW80BiD1Y2jUAzzoGSWFdk4jICLpNGvNTlpaujdwArAR0QezhjgGcziTeoxDjgk7HHEBgWBbGSTHNqM1UwYYpiBiHDZsnIeGr+gAACAASURBVIMahlNhiZg4KPBwRSkCmH8rFS7LjEUC0DK0EByMAAYg9/QPVAC6J9bw9EwCIpJOs9bupKUlgROA3TqcR2un/sJRYTI66cSE01FhhzMOJxBsK4Ox6Z1pxtBkwwREjMOGjXNIw3BexnhdNnONQ3DBDRAQRgDzb2HopVKMBKBU4XCPMRiA3BNrPHy7J9bw9EwCLOnUZ/Z6qj1ZV/9Fo+go2pQzkNo1a2IJrmBLgHt2Op9WT+5viV4VhGLCqUKUYCMIEAWrAMzNTKQJAxIMY0Ly3zAqUw0j4Wv0BY4pw3ARCICAHwHMv9EpGAEkANEPhBDAACQEuxClqAAUgh1KJSDAEk45RZVU93P+LzqKqCCrO41IvdAy6x5ZU0XPlO4LKP/8s2Nox5+ut0y3CoIx4VQhSrARBIjGPl9Ont2H/VBMzUigaYMSw0KE5H9YuMJqjJe8YeFCYxAQSgDzb6H4pVGOBKA0oXCXIRiA3BNvPBzKG2skQ6yLDWPbu8BDPsV/FEVEZXkZllX/MW/6Fqyjg1/9ENCxDuc3ps25g6xzGpJBAARAgBOBv73zIc1+/T9+0gqyutGotPiwteD3Lmxkhi6IpALQkAI0AgEQ4EYA829uKJUWhASg0uFT13gMQOrGLlzL8XAYLjF72qMiwlrOxZUHaeLyCj8lC0enUGb3WMuUpz/qoU++8D85kyns16UVLR/fxzLdEAwCIAACPAiw36cHCisDispMbk8Lx/TioQYyOBHA8wQnkBADAhYTwPzbYsCKiEcCUJFAOc1MDEBOi2hwf/BwKFe8kZS1Ph6iEoC3PruF/v2fowEdTI1vSS/d0dd656EBBEAABEwSCPT75CtqcHJ7WoQEoEm61l2GCkvr2EIyCPAigPk3L5Jqy0ECUO34KWs9BiBlQ2facLYX4MaaI9QvoQ117dDctBxcGDkBLMuOnGEoCYGWALM9ALfkWrsE+MqH36SjJ34KaF5K3PlUNMm9h4CEihm+BwEQEE8g2AnAzLpRaZ2oIKuHeENhAQiAAAgoRgDzb8UCZpG5SABaBBZigxPAAOSuHoIKQLnijQpAe+LB+n1eUSXV1hHFRBHlW3wACPMqfc46+uTLwHsApie0omXjnLME2GkVJ07zx567DFqcRiBUBWC4pwA7jQ/8AQEQAAGzBDD/NkvOWdchAeiseCrjDQYgZUIVsaFINkWM0BIBSMpagtVPqN1JnasfX097j34X0LkpGV1o+qAkexy3WIvT+q/T/LE4/BDvcAJLNuyh/OLdAb2cnZ1MI1M7O5wA3AMBEAAB/gQw/+bPVEWJSACqGDUH2IwByAFBNOgClpsaBCWgmd3JKQEuuk5lxp/fpj1HTgT02+oDSOyC7bSXCk7zx65+AD3OJRBsGTASgM6NOzwDARCwlgDm39byVUU6EoCqRMphdmIAclhAg7gjai809xCGp6oQsCrh6iv3tmfLaOen3wREUp5n7f6DdsXBaS8VnOaPXf0AepxLgO0ZnDm/NKCDWALs3LjDMxAAAWsJYP5tLV9VpCMBqEqkHGYnBiCHBTREAjAt30N1Pm2iiKjMIckI90QSnkZCwKolnr5y2T6D5zSOpm/+d9LP1JZNG1HFQ9dF4oI01zqtYs5p/kjTUWCIsgSmr6qgwoqDAe2fmpFA0wYlKusbDBdHwKqXcOI8gmYQCI8A5t/h8XJqayQAnRpZyf3CACR5gDiaV1x5kCYur/CT6JTliBxRQZRDCViV4Am1Wb4vzrsGXkx3//IyxxA2m1CVdQJo1h/HBBSOgMDPBNg9mprv0eWxbFwqpSe0BS8QCIsAxtiwcKGxQwlg/u3QwIbpFhKAYQJDcz4EMADx4aiClJXl+yinsMrPVOzjo0L0YCMPAlYt8Qy2T1ZDu52YcA83mSf7BDBcf3j0TcgQTwBxPzMGei8Nva1WjE+jvl3aiA8cLFCGgFUv4ZQBAENB4GcCmH+jKzACSACiHwghgAFICHYhSpEAFIIdSiUiYNXkI5wKQCcmAMMJsVUxCMcGtAWBhgRkT0qLiFioBGDx1HTq2qG5CNOgU1ECVr2EUxQHzHYxAcy/XRx8H9eRAEQ/EEIAA5AQ7EKUYgmwEOxQKhkBqyb6TG5eUSXV+m6yGcD3p0b1pKGXd5SMin3mYAJoH2toMkYASenAnEItAUYFoLH+hVanCeBeQ28AgVMEMP9GT2AEkABEPxBCAAOQEOxClOo9zDvlRFIhUKFUSQJWLfVjcpds+Iie3biXak8GzgSOTouj/KzLleTGw2hMAHlQhAyeBKxKSls1zvD0PZSsrAWlVLH/uF8zHCAWipyzvufZl616Cecs4vDG6QQw/3Z6hI35hwSgMU5oxZkABiDOQCUWt+vT45Q5v9TPQizjkThoME1JAmyyVLB2F63e/qmf/U47BMRMgDABNEMN11hFwIqktFP6+OINNVRQXO2HvnvHZvTaXQOsCgnkEhHPpFskQK3oy5H6Fun1kfDAtSDAgwDm3zwoqi8DCUD1Y6ikBxiAlAybKaPnraum+Z4av2unZiTQtEGJpmSqehEeHlWNnDp2j32+nDy7D/sZnJHUlp65NVUdRyyyFPegRWAh1hQBnkkOKxKKppzicJHec0NMdBRtzhlI7Zo14aAFIhoS4NkfI6ErY1+WhU0kXHEtCGD+jT7ACCABiH4ghAAGICHYhSh9ZM1OeqZ0r5/usenxNGNoNyE2iVCKh0cR1N2nc0XZXsot2unneEFWNxqVFu8+IPAYBCQnwCspbdWSYrvxMR5p+R7S29YUewBaExGZkm6y9WWZ2FgTfXWk8hov1fGYr6WYf/Plqao0JABVjZzidmMAUjyAYZg/fVUFFVYc9LsiOyWW5g5PCUOSuk3x8Khu7HwtV+HBU7aJkzMiDy9AQH4CTvmd0RvDWASio4i25GagAtCC7ijTb4dsfVkmNhaEXhmRvoeexUQR5Wd1pxGpFypjvwyGYv4tQxTE2yBdAvCXv/xl2FSioqKoSZMm1Lx5c7rkkkuod+/edO211xL7Oz5yEsAAJGdcrLBqzY4DNHnFdj/RbjqVFA+PVvQse2WqUsGpt3TOiXtuqpCQtbeXQpvbCagyTgWLU7BTgEelxlFBtnsPM7Kyf8uWdJOpLzM2vQs85HvGFpLRVvZGf9mIAR/emH/z4ai6FOkSgNHR0Vrirq6uznACj7VlH9+EX2xsLM2dO5duuukm1WPkSPsxADkyrAGdQvLr1KbafWavP+OE1kbRUbQJexkpcSPINjHSgxboAdnb1mnL5mSaHCrRiWGkawg4ITE+7KlS2v6J/ynAWT070LwRV7gmlnY7Ktu4KktfRvLJ7p7or6+48iBNXF7h98XC0SmU2T1WvIGKWID5tyKBsthM6RKA6enpWiLv0KFDVFNz+uCAzp07U9u2bTUchw8fpn379tUn/RISEqhNmzb01Vdf0Ycffkg//PBD/XePPfYY3X333RZjhPhwCWAACpeYuu1VSZ5YSZg9VOcWVda/PWZvjguwdMFK5Fxlq5LEDrZ0zkkVgBhTuHZvCAMB6QgM/9smKvv4Cz+70i5qSat+31c6e51kEBtft+49prnUK74VllsTkSrPAE7qhw19QQKQT3Qx/+bDUXUp0iUAGVCPx0MjRoyg2tpamjFjBt1yyy1ags/3c+TIEXrhhRdo1qxZFBMTQ8uXLye2fJgl/1555RW699576eDBg9p3lZWVlJSUpHqsHGU/BiBHhTOkM9q+HaurtAo4dopf/rBk1+zbEShZwfYu2Yx9jEL2G1kaRJpwsquKIdjm+U6qAMRkTJY7A3aAgDUEcJiRNVyNSJWtCtCIzVa3ifQZwGr73CAfVZh8ooz5Nx+OqkuRLgH40Ucf0RVXXKEl7jZt2kSJiYlBGVdXV1OfPn20ZOG2bduIVQOyz8cff6zJYVWBEydOpCeffFL1WDnKfgxAcoTTrsQEe6DMKazUTvVjO3POznbPxr1IVsjR1yO1wuykyOx1ZuzVSwA6ba8iTMbM9A5cAwLqEFhZvo9yCqv8DJ6dnUwjUzur44hilmJs1Q+Ynb/linUb28x1czEBL8iYf/MiqbYc6RKAkyZNokWLFtGcOXPovvvuM0T30UcfpZycHBo/fjz97W9/q7/mgQceILYEuGvXrlRV5f8gYUg4GllCAAOQJVjDEmrXw0ygpARLApblueMkPzxQh9UtpW4cbsLc7tgHWwJc7rD7za7xS+oOCeNAwKEE7ly2lV6vOuTn3eDk9rRoTC+Hei3eLae/sAz3N7xhRCK9XnyE1bcAMYgshph/R8bPKVdLlwDs0qUL7d27V6v+S0tLM8S5rKxMqwKMj48nVkHo/fzrX/+i66+/ns4//3z68ssvDclCI3sIYACyh7OeFjsTE3iTT4Rkhdj+Lkq73ZOpXZ8ep8z5pQHddWLlDCYCono29IKAtQSyniqligCHgKR0ak5Fk9OtVe5i6XY+G9qNGc9hdhOHPhkJYP4tY1Tst0m6BOA555yj7eO3efNmSk1NNUTEmwBs0qQJnThxov6a999/n1JSUujss8+m7777zpAsNLKHAAYgezjrabEzMTFvXTXN95w+0Mdr09SMBJo2KPgSf7GU+GpHsoIvT1mkBYur3ZMpvU2yGSu33W+y9A/YAQIgED6BR9bspGdK9/pdODY9nmYM7Ra+QFxhmIATE2V2/xYbho2GIGAzAcy/bQYuqTrpEoAXXHCBdspvOKf3/vnPf9aWC7dv354+/fTTetQsidivXz+KjY0l1uHxkYcABiCxsbDzYUivKslJp5KKjSa0iyJgZKJkpA0v+/WqbZn8ZeNSKT2hLS9VUshBUl2KMMAIEOBOYOKyrVQcYAlwbmYiTRhwaq9vfKwjIMvYyssOO15687LVuqhCMgiQlg+Ji4vTUOzfv586deoELC4kIF0CMDs7m1avXk2tW7em8vJyuuiii4KGhS35ZUuFjx07RjfccAMVFhbWt1+6dClNmDCBevbsSe+9954LwyuvyxiAxMfGzsRE1oKNVLH/9DL8lLgWVDSpn3gIsAAETBIIJ4lu18QgWALQSacAs5DZOX6Z7CK4DARAwAQBNl6m5nsCXpmVEkvzhqeYkIpLVCPAc4wP5/faDCeetprRj2tAwCgBzL+NknJ2O+kSgO+88w4NHDhQo96mTRt6+OGHadSoUdSsWbMzIvH111/T8uXL6Y9//KNWMRgVFUX//ve/qX///vXthg0bRq+99hrdcccdtGDBAmdHUjHvMADJETA7EhNMR+8CD51kRwD//HHaqaRyRBNW2EnAjoqCcP2Zu243PeHZE/AyJ1UAWj2ZC5c72oMACPAjEOxFRmp8C3rpDrw85EdbTklWjPFWJemssFXOqMAqJxDA/NsJUYzcB+kSgMwllvSbOXOmltRjn5iYGEpISKB27dpp//7888+ppqaGamtrqa7uVFaBtX/ooYfqibDKwEsvvZROnjxJr776Kg0dOjRyWpDAjQAGIG4opRekty/ZwtEplNk9Vnr7YSAIBCIg40P/9FUVVFhxMGDAxvWPpweHOGPvLBmTr7hLQAAEjBMI9vJx1tqdtLTEf/8/Jj09oRUtG9fHuCK0VJKAVWO8FS+9rbJVycDBaOkJYP4tfYhsMVDKBCDz/MUXX6S7776bjhw5Ug/CmxD0Jv3YF2yp8Lx582jMmDF+wFiCkH1YAhEfuQhgAJIrHlZas3hDDRUUV/upwF4+VlKHbDsIWFVRYNb2NTsO0OQV2wNenpXSgeYNv8KsaKmukzH5KhUgGAMCEhMINW4GqwB00jgmcYiEm6bSGK+SrcIDG6YBViRswzTBcc0x/3ZcSE05JG0CkHnz/fff0yuvvEIej4eqqqroiy++0Jxs2bIldevWjTIyMug3v/kNsZOD8VGLAAYgOeJlx49rbtH7tKLM/xCeUWmdqCCrhxwgYAUImCTA+x6KRF6wU4CdVAHIQhUqiWAynLgMBEDAQgJGkiXB9gBM6dSciianW2ghRMtCQKUxXiVbZYlvKDvANBQhc99j/m2Om9OukjoB6DTY8Oc0AQxA4nuDXT+uuUU7aEXZfj+HR6XFUUHW5eJBwAIQkIRApPdksMoZJ566HUmyVJKQwwwQcBUBo8sluz/0On39w0k/NgOT2tCzt6a5ipmbnVVpjFfJVtn7lJEXBbL7IKt9mH/LGhl77UIC0F7e0PYzAQxAYruCnT+uOYXv08py/wrAkamdaHY2KgDF9gRol4UAj3vykTVV9EzpPj+XEto2pbfuvkYWV2EHCICASwkYGed2fXqcMueXBiSU1bMDzRvhjK0MXNoF4DYIhCRg9EVBSEFo4EcA8290CkYACUD0AyEEMAAJwV6v1M4f11uWbqGSmqN+DvdPaE0vjustFoSN2vF22EbYCqricU9mLSihiv1f+XmfEnc+FU3qryAVmAwCIOA0AqEqneetq6b5npqAbmPrEKf1BvgDAv4EjLwoADdzBDD/NsfNaVdJnwA8ceIE7d27l77++mvt1N9Qn759+4Zqgu8lIIABSGwQ7Pxx1TuY4KlRPWno5R3FgrBJe6gJj01mQI3EBHjck3cue5der/rcz8vBye1o0ZirJPYepoEACLiJQKAXYt6/eT74LGAlM+MzNj2eZgx1xmnmboo3fAWBcAnguTlcYsbaY/5tjJPTW0mbAHzuuedo4cKFVFFRQb6n/gYLCDsl+KeffnJ6zBzhHwYg8WG068dVbzmPE/ckCxRVHokd8b0FFthBINJ7Um8PwNnZyTQytbMdLkAHCIAACIRNwHfsC3ZxdkoszR2eErZ8XAACIKAeAayc4R8zzL/5M1VRonQJwJMnT9LNN99MRUVFGk+jyT/WliUAjVQJqhgop9mMAUiOiNrx46q3nGdqRgJNG5QoBwgLreCxtNNC8yBaMgKR3JOlNYdpzNJyP4+WjUul9IS2knkKcwIRiCT+IAoCjIBqfSjQSzK9SGIsQx+3m4Bq95PdfKBPLQKYf6sVL6uslS4BuGjRIpo0aZLmb5s2bejWW2+lK6+8klq1akXR0dEhOWRkZIRsgwbiCWAAEh8DuyxYvKGGCoqr/dTlZibShAEJdpkhTI/e5CY3M4kmDOgizC4odh6BWWt20tLSvX6OjUuPpwexbE76gEdaASq9gzDQcgIq9iG9l2SBYJXnZVC7Zk0s5wgFIMAIqHg/IXIgEIwA5t/oH4yAdAnA3r17U3l5OSUlJVFJSQm1bt0akXIgAQxADgyqjktYlki0ZMMeyi/efQahRtFRtClnICYz7rkVLPf0zmVb6fWqQ356Bie3p0VjelmuHwrME8BWAebZGb3S6ZU8qvahcCoAsZ2B0d6OdpESUPV+itRvXO9sAph/Ozu+Rr2TLgHYvHlz+uabb2j58uU0YsQIo36gnWIEMAApFrAIzEUCkAjLgCPoQLjUMIHr5r1N1YdO+LVPbN+U3px2jWE5aGg/AYwR1jJ3QyWPyn3I6B6AWT070LwRV1jbWSAdBAjPbegEziSA+bcz4xquV9IlAM8//3z69ttvadu2bdSzZ89w/UF7RQhgAFIkUBzMRALw1J5MfWevp59O1tUTRQUgh84FEWcQSMtfR4e+/sGPSvtmjaksbxBoSUwAY4R1wXELW9X9ZPZv3XuMJi6v0O0MGUlt6Jlb06zrLJAMAj8TUP1+QiBBIBABzL/RLxgB6RKAV1xxBb3//vv01ltv0TXXOLNi4ciRI/Tss8/SP//5T9qzZw998cUX2lLnuLg4GjBgAGVnZ1OfPn2C9tDNmzdrpySzZdKfffYZtWzZknr06KHtmRhO5eTf//53Yicu79ixQ7PjggsuoP79+2v7MLLl2FZ9MABZRVY+uYs37KGCBstfmZVu2wPPDRUo8vU+d1l008JSeve/x/2cvurC5vSPienugqGgtxgjrAmaypVx4RJRvQ+F2g9wSkYCTXfB4WHhxh3trSGg+v1kDRWxUp2+lYPVdDH/tpqwGvKlSwA+9thj9MADD9D06dPpz3/+sxoUw7DyH//4B91555109OhR3atuuOEGWr16te73Dz/8MP3pT38idmJyoM+vfvUreumll6hJE/2Nkr///nu66aabaM2aNQFlsANXZs6cSTNmzAjDO+NNMQAZZ2VlSzt+SHEwwakIeqsb2H/3im+Fvf+s7NgulX3tX96mmsP+S4AT2jalt+525gs1p4XajjHZacxC+eO2Sh6V+xCzvXeBh3yK5c8IL/YADNXb8T1vAirfT7xZiJaHhGzkEcD8O3KGTpAgXQKQJaZSU1OppqZGqwLs27evEzhrPrzwwgt02223aYm7du3aaYnA9PR07YRjVsXHqgFfe+01YvsgskRhoM/SpUtp/Pjx2lddunSh3Nxc6t69Ox08eJDmz59Pb7/9tvbd6NGjadmyZbrs2PcrVqzQvmeVllOnTqXY2FiqrKykgoICzRb2WbJkCY0bN457DDAAcUcatkD2Q5pXVEm1dUQxUUT5Wd1pROqFYcsJdQGWAOMkuVB9BN/zIXD7c1tofbX/y6WBia3p2dusq+jmYz2kgEDkBPQm65g4Rs7WLgl6Lw2Z/oWjUyize6xdpkAPCICAJATc9iLHKuyYf1tFVi250iUAGT6WDMvKyqLt27fTtGnTaNSoUdqpwI0aNVKLro+1H3zwAaWkpND//vc/bYmtN9EXyKEffviBGjdu7PfVl19+SRdddBGx/7/wwgu1fRLbtGlT3662tlbjxmSzzzvvvKMtKW74YX+/+uqrtT+zasGioiKKiYmpb8aWKF955ZX03//+V1ta/NFHH1GLFi24sscAxBVn2MICvWWPjiLakpvBvTKN6UrL99Dp3e+IooioLI+/rrBB2HABHlpsgAwVWoXpX9/6D60o2+9Hw23L7dEd3EkgVJIPlTxq9IslJXsof+3ugMYWT02nrh2aq+EIrAQBEOBGwE1bOXCDFkAQ5t9W0lVHtnQJQG/iq66ujlhCKyqKpQpOfXyTVIEQs7YswSbj59prryWPx6Ml7Fgy0DdxZ9Texx9/nO677z6t+cqVKwPu9cdu7Pj4eI3d0KFD65OBvjqGDBlCxcXFGs+9e/dSp06d/ExgewOOHDlS+ztbin333XcbNdNQOwxAhjBZ1qi48mDAjbaterv+qydLqPLAV/X+pMS1oKJJ/SzzTybBeGiRKRrW2CI6sRDqBE2r7mtraEIqCIRPAC9awmcm6xXBKgBXjE+jvl1Ov/iW1QfYBQIgwJcAxng+PDH/5sNRdSnSJQDZ3nNmPywByBJfsn12795Nl112mWYW21fvj3/8oykT+/XrR5s2bSJ2UvLhw4cDVgkywddffz29+eabdPbZZxOr5jvvvPPq9X3zzTda8pElSlm7119/PaAtrAqxbdu29NVXX2nLsDdu3GjKZr2LMABxxRm2MDsTgPPWVdN8T42fjW55k4+HlrC7p1IXhKo6stqZQP3LV6dVlb1W+wX5IBAOAbxoCYeWvG0DrRjwtdYtzw3yRgiWgYA4AqKft8R5zk8z5t/8WKosSboEYKSHTjzyyCPSxYPZ9NBDD2l27dy5k7p27ar9Nzt1lyXo2B6A7BTgYB+WkDv33HPpp59+ouuuu47eeOMN3eazZ8/W9gZkn/Xr159xmjL7d0ZGhvYda8cOXNH7MD3/+te/tKXXJ06coLPOOosbWwxA3FCaEmTXEuBgD/N5Q5JofP8upuxX7SI8tKgWMWP2ypDcDXZqJkv+FVi0t6cxQmgFAvYQkOFetMdT52phMVy+ZV/AF4Zer1EB6Nz4wzMQMEJA9IoLIzbK3Abzb5mjY59t0iUA7XPdPk3eJbfscA+W9GOHb7DTjnfs2FFvBNvb73e/+5221Na3Ys/bgCUOk5OTtX+yAzv++te/6jrA9vTLzs7Wvl+wYAFNnDixvi379+TJk7V/s3bDhg3TlcP0PPHEE9r3volLHuQwAPGgGJkM7RCQ1VVUe7KOYqKjKH9YMvdDQIIlJ9z2Jn/Xp8dpY80R6pfQBnsYRdZ1pblahqqjYBWAVh7uI00QYAgI/EwAL1rU7QqhtjFgnrEdgcos2KdYXWqwHARAAATCI4D5d3i8nNoaCUAbIsuSe2yvvR49emin/rIknN6HJfnY8l12Iq/vh1X8DR48WPsT2wvwnnvu0ZWxdetWuuqqq7TvWYUfq/Tzfti/H330Ue2f7777LvXq1UtXDtv7795779W+Z/pZRaDRDxtggn0+/fRT7bRn9tm/f3/AfQiN6kI78wSsfpOml5zo3vF8eu2u/uYNV+xKTEwVC5hBc+2qpA1lTrDJc6PoKNqUM5D74T6hbJL1e6vHPFn9dotdiK96kQ61jYHXo7iW51DJ/QPVcxAWgwAIgIAkBJAAlCQQgs1AAtCGALDKP7aXHtuTj+29x07UnTNnjlalx/bzq6ys1JYIe/fjY3vulZSUkO9+iP/4xz/o5ptv1qxdtGgR3XHHHbqWs0NGvMuMWbXfk08+Wd920qRJtHDhQu3frB07XVnvw/R4qwdffvll+s1vfmOYlu/hLaEuQgIwFCG1v1+yYQ/lF595op+b9iXD0jS1+28w62VJADIbmS3/3H4g4OmZWDZ3KopIxDv3XoRn6hIItlLA1yt2JGBZXgZeZqgbalgOAiAgmAASgIIDIIl6JABtCATbQ897OAk7ebe0tJR69+59huaTJ09qp/Z6k4As4XfjjTfWt3nxxRfpt7/9rfbvZ555hm6//XZdyz/66CPq0uXU3mpjx46lpUuX1rdl/3722We1f+/Zs4cuvvhiXTmsHWvPPkz/mDFjDNNCAtAwKmEN7aqUsPPAEWEwgyiWYZmojFycYJNssUWyWb9XgY0T7jj44EQCRisAme94meHEHgCfQAAE7CKABKBdpOXWIywByPbB835GjRpV/9++fzeDzleWmeutuIbt6fftt99qokeMGEErV64MqMZ3nz9WHfjKK6/Ufse1lAAAIABJREFUt1OtAhBLgK3oSfxk2lkJ4/YEIBIP/PqtbJJkjO30VdupsOJAParslI40d3hP2dDZbo9syVrbAUAhCEhMwNAegKgAlDiCMA0EQEAFAkgAqhAl620UlgBky1tZlRj7HzvZ1vvx/t2M6w1lmZFhxTUdOnSgzz77TBP9f//3f/WVfIF0derUiQ4cOEBxcXH03//+t76JansAhuKIASgUIeu+tztpMXHZNiquOtX/vR+3LeVBUsa6/ixasp3J9FC+yrQkOZStdn9v97hnt3/Q50/Arip32dhb6bfVshe/s4eWlu4NiLRL26bkufsa2XDDHhAAARBQhgDm38qEylJDhSYAmWcsaeddHsv+7bvvXbieN5QV7vVWtWeHXbADN9jH4/HQwIH6mxj36dOHtmzZou0X+P3339ebVFVVRd27d9f+HckpwE899RTdddddmhycAmxVxOWWa2clDDv5NnN+qR8Q7AGIgxnkvkvCs87KSXE4lri92jYUK5mStaFsxfeREXBrrK3020rZ3mivLN9HOYVVAYMf17IJldyfEVnHwNUgAAIg4GICSAC6OPg+rgtLALL957wf73517N++fzcTIl9ZZq634prbbruNnn/+eU30v/71Lxo0aJCuGm+y8Nxzz6Vvvvmmvt0PP/xATZs21ZKl7DReVhGo92Gn/ubm5mpfr1+/nq655vQbU/bvjIxTD1CsHTsVWO/D9DB72R6GbAlz48aNueHBAMQNZdiC7KyEmbVmp+7bfLfs5WNnwjXszoALHEVAb/I8OzuZRqZ2dpSvXmfCTb6G296R0BzulJ2/cTKhtNJvK2X7MtR7icHadOtwHq2d+guZkMMWEAABEFCKAObfSoXLMmOFJQAt80hCwc8991z9oR2hTvBt06YNHT16lC699FKqrq4+wxt2OvDmzZu1k4MPHz6sm5C7/vrr6c0339SqCFm7Zs2a1cv5+uuvielgCUXWznvoSENs7Pu2bdtqpxezqsRNmzZxJYsBiCvOsIXZ8SafGTVr7U5aWuK/nMdNS4DtmjiF3QlwgeMIuK0C0K5xzHEdxeEOufWli5V+Wynbtzuy38vUfE/AHpqVEkvzhqc4vPfCPRAAARCwjgDm39axVUkyEoA2RIsl9Ng+gD/++KNW/ceq6gJ93nnnHbr66qu1rxqe3sv+9thjj9H999+vfc8OEmEHijT8sBs7Pj5eqxTMzMyktWvX+rVhf2eJP1bZ9/HHHxPbd7Dh5+9//zuNHDlS+zPTe++993IlhQGIK05TwuyohFmz4wBNXrHdzz43JQCZ8yxRkbe6impP1lFMdBTlD0umEakXmoobLhJPwI57x4yXekvui6emU9cOzc2IlPYaJNalDY1ww9zaN6z020rZDTvMzU9vpPK9X/r1o5GpnWh2dg/h/QsGgAAIgICqBDD/VjVyfO1GApAvT11pEydOJFb9xz6BknesMm/AgAG0ffupZEl5eTldddVVZ8g7duwYXXzxxXT8+HHq3Lkzbdu2jVq3bl3fhiX9srKy6LXXXtP+1nD5r7eh7zLgX//611RYWEgxMTH1co4cOUJXXnmldghJixYt6KOPPqKWLVtyJYUBiCtOaYUtKdlD+Wt3B7TPLUuAmfMsAZhbVEkn64jY/ocFWd2RAJS21wY3TOaqMzdVANpVkaRoN3W92TLfp1YGx0q/7XqRdcvSLVRSc9QPU/+E1vTiuN5W4oNsEAABEHA0Acy/HR1ew84hAWgYVWQN2VLcXr16aUk1Vnl3xx13UHZ2tract7Kykh599FHavftUouTOO++khQsXBlT4t7/9TbuWfdh+h3l5edrhIAcPHqS//vWv9Pbbb2vfseq9FStW6BrNvmdVfuzD9gj8wx/+QLGxsZot+fn59XsxPv300/T73/8+MucDXI0BiDtSKQXqVQC67RCQ3gUeLfnn/bjJfyk7pkmjzFbB2FUx6KY9AM3GwmTocZmCBOy672RDY5XfWgKwqJJq64hioojyLXqRlT7HQ598efoQPC/fgqxuNCotXjbcsAcEQAAElCGA+bcyobLUUGEJwF/+8pfcHWOnALO972T9fPDBB8Qq7mpqanRNvP3224kl3c466yzdNn/84x/pkUceobo6n4yCT2u2xPeVV16hJk2a6Mr47rvv6MYbb6Ti4uKAbdhpzDNmzKCZM2daghMDkCVYpRM6b101zff49/eMpLb0zK2p0tlrhUFuqsqygp9MMs1UnVlZkdOQjZsSgMz3xRv20KOvV1NtXR01io6iWVhaL9PtAlscRMCuhHtpzWEas7Q8ILnczCSaMKCLg6jCFRAAARCwlwDm3/byllWbsAQgSzCxhJ1eEosBY98b+XhlsPZsGazMH3aaLlsK/PLLL9OHH36onfTbrl076tevn1Zp53tibzA/2KEcCxYsoJKSEjp06JC2VLdHjx7EThz27t1nhAOrEmQnFL///vv05ZdfUvv27al///40efJk7fAPqz4YgKwiK5dctyUkAtFHAlCuPhmJNeFOgsNtH4lt3oRYQbH/knsnTpx9E6usojZncBKNR3Ig0i6E60EgIAEzLz/MoMwr2kHLy/YHvDQzuT0tHNPLjFhcAwIgAAIgQESYf6MbaDm2umAZOAsZpaenB03wffbZZ/XLUJkZcXFxWnKKmfv555/T/v2nHhBY0o8thWXfsQ9LiOEjPwEMQPLHiIeFbjqUQI8XSwJhCTCP3iSHjHAq+uyaNHvJ5Ba9TyvKPvEDNSqtExVkOWfzfLsTq3L0PFgBAuII2HXPPfDKdvr7uwcCOjo2vTPNGJosDgI0gwAIgIDiBDD/VjyAnMwXlgAMZv+6deu0KrYffviBcnJyiC2L9Sb4vNexqrdnn32W5syZoy2XZQdrsBN28VGDAAYgNeIUqZWofjtF0K69kyKNF643RsDoHlt2TZq9Vt/+XBmtrz7i58TAxDb07G1pxpxToJXdiVUFkMBEAwSM3rcGRLmySTgvP8wCuvYv/6aaw98GvHxc/3h6cEg3s6JxHQiAAAi4ngDm367vAhoA6RKAbH88dgItq+xj1XzsgItgn6qqKmLVhKwykJ2Km5CQgMgqQAADkAJB4mAilgCfhojJJ4cOJViEmRjaMWn2Yhn6xAaqOvi1H6Xk2Ga0ZsoAwfT4qbc7scrPckgSRcDO+1CUj3boNTMGhmPX1L9vo39u/yzgJbmZiTRhAJ7xw+GJtiAAAiDgSwDzb/QHKROA7ITbxYsX06xZsyg3N9dQlNiptezAivHjxxM7JRcf+QlgAJI/RjwsRAUgD4qQIQOBSBIIVk+avXymrXqPiio+9cOVldKB5g2/QgaM3GyIJB7cjIAgJQggYaxEmDQjb1m6hUpqjgY0eHZ2Mo1M7ayOM7AUBEAABCQjgPm3ZAERZI50FYBsP7+9e/fSxo0bqXfv3oawbNmyhfr27Uvx8fH00UcfGboGjcQSwAAklr9d2vVO9Fs2LpXSE9raZQb0gEBEBFRJILhtz027EqsRdR5cLJwAlowLD4EhA9j9PG3le7Txoy8Ctl84OoUyu8cakoVGIAACIAAC/gQw/0avYASkSwCec8452t5/mzdvptTUVENRKisr006sbdKkCZ04ccLQNWgklgAGILH87dI+b101zffU+KmbmpFA0wYl2mWGNHqQsJAmFGEZokoCwY0Jd9xTYXVlVzZWJYHvyuD87LRvRa8eh/K8DGrXrImbMcF3EAABEIiIAObfEeFzzMXSJQA7dOignfL76KOP0j333GMI9OOPP07333+/dlDIp5/6L38yJASNbCWAAchW3MKUYQ/A0+ixZFFYN4xYsSoJhOmrKqiw4qCfv9kpsTR3eErEHGQTgHtKtojIaw/6iryxCTS+NrQ2Ja45FU1Kl9cJWAYCIAACChDA/FuBINlgonQJwBtvvJEKCwupZcuWxCr7Qh3qwQ4NSUtLoy+//JKysrLo5ZdftgEbVERKAANQpATVuN6NFUmBIqNKAkmNXiXGShUSCHPX7aYnPHv8AE3J6ELTByWJAWeRVtxTFoF1sFhUi8oZXL0Ka19rx6Z3phlDk+V0AFaBAAiAgCIEMP9WJFAWmyldApDt/TdgwKnTClkScObMmXTLLbdQ8+bNz0Dx1Vdf0Ysvvqh9f/ToUYqOjqYNGzZoewHiIz8BDEDyx4iHhUtK9lD+2t1+ovKGJNH4/l14qFBChipLSJWAKdBI2RMIeUU7aHnZfj9CTtw7C/eUwBsBqkGAIwEjFYDpCa1o2bg+HLVCFAiAgN0EZH+GspuHCH2Yf4ugLp9O6RKADBFb/puTk0NRUVEaMZbcY5WA7dq10/526NAhYpV/J0+epLq6Oq3NnDlz6L777pOPMCwKSAADkDs6htsOJdCLKji4o7+L9JI9WKfle+jUL+LpD/sZLct13t5ZqAAU2dvU0I3JphpxYlayCuu8okqqbTiA/exCanxLeukOvODnFVHcG7xIQo5RAiqsojDqi8rtMP9WOXr8bJcyAcjcW7VqFf3hD3/Qkn3ejzch6E36sb+zpOATTzxBN998Mz8qkGQ5AQxAliMOqcCuB8Dpq7ZTYcWBenuyUzrS3OE9Q9rnpAaoVnJSNOX0pbjyIE1cXuFn3Oi0OMrPulxOoyO0ChOKCAE6+HL0DfWCqzeGMU8GJ7enRWN6qeeUhBbj3pAwKA43CS/s5Akw5t/yxEKkJdImABmU//3vf9p+gG+99RZVVlbSF198oVX8tWrVirp3707XXnstZWdn09lnny2SIXSbIIAByAQ0jpfY+QDY/9H1tP+L7+qtj2t5DpXcP5CjN/KLwsOP/DFS3cLFG/ZQQbH/cvvczCSaMMC5y+3ZvbV17zEtfL3iW+GUUNU7Mgf7Md5ygChABItbar4noOZRqZ2oILuHAKucpRL3hrPiqYo3eAkuT6Qw/5YnFiItkToBKBIMdFtLAAOQtXyDSbfzAXDNjgM0ecV2P3OeGtWThl7eURwEAZrtTLoKcA8qBRPILXqfVpR94mfFqLROVJDl3Ikz7ivBHU9C9ZhsShgUgyYNe6qEtn/ylV/rYT070F9HXGFQCprpEcC9gb4hgoCd8w4R/qmkE/NvlaJlna1IAFrHFpKDEMAAJK572PkAeMvSLVRSc9TP2f4JrenFcb3FQRCk2a5l14Lcg1qBBNyYAMSkQmCHk1g1+oXEwQlh2uV/fIO++l+tX6uk9ufRG9N+oa5jkliOe0OSQLjQDLyskyPomH/LEQfRViABKDoCLtWPAUhc4PVO3LNiqeDcddX0hKfGz9kpGQk0fVCiOAjQDAIOI7CyfB/lFFb5eTU7O5lGpnZ2mLen3LHzZYYjATrYKTdPNlV90aR3WBbrpiNTO9FsLAHmcse6+d7gAhBCTBNQdWwy7bCEF2L+LWFQBJikRAKQ7ft3/Phx+u677+pP/dVjFRsbKwAjVIZLAANQuMT4tp+4bBsVV312htBG0VG0KWcg1z20SmsO05il5X7GLxuXSukJbfk6BWkg4GICevtnlec57wRgb5hRzeLiDm/AdZZQ2lhzhPoltKGuHZqTGyafKid35q2rpvkBXhiyUDv5RYaBrsy9iRX3ghUyuTsOgSDgcgKYf7u8A/zsvrQJwGPHjtGCBQto9erVVFVVRT/99FPIiLFTgo20CykIDSwngAHIcsS6CthDWu8CD52s82+yYnwa9e3ShptxS0r2UP5a/4MJ8oYk0fj+zj2YgBtACAIBgwTcmmxXOeFhMLRoZoJAw37x6x6x9Or7B+mnk3XEXnbNGpZMI1IvNCFZ3ktUT4jPXbebnvDsCQh4SkYXmj4oSV74LrcM47DLO4BB95EkNgjKwmaYf1sIVyHRUiYAy8rKKCsriw4dOhSy4s+XNUsA1tb67x2iUDxcYyoGIHGh1ls2FxMVRZtz+VYA6i3pKZ6arlVkuO2Dhx+3Rdw+fycu20rFVYf8FGYmt6eFY3rZZ4gATbivBECXWKXeNhe+JltR8c7ki+yLqi+Jn7V2Jy0t2RuwZ6UntKZlLtw3WOLbrN401RPPKjB2go1IEssRRcy/5YiDaCukSwCyyr/LLruMDh8+TE2bNqXbb7+dWrRoQbNmzSKW4Hv66afpiy++oK1bt9Jrr71GP/zwA/Xr149+97vfaSzHjh0rmin0GyCAAcgAJIua2LkHoFurkgKFDg8/FnVoiNUITFtVQUUVB/1oZKXE0rzhKaAEAq4hoJcIawiAd8W76DE+UHV/dBTRllz5twFg7HIKKynAwgQtbKnxLeilO/q5pg+r5KjqiWeVWKtqK5LE8kQO8295YiHSEukSgA8//DDNnDmTzj77bGKVgJdffjnt3LmTunfvriUAfSv8Dhw4QKNGjaLS0lJ64IEHKD8/XyRL6A6DAAagMGBZ0NR3osImCDmDk2j8AP5LcvOKdtDysv1+HoxOi6P8rMst8ExOkXj4kTMu4VglsrLHiJ2LN9RQQXG1X9PczESaMCDBiAi0AQFHEBBRASjDGK9qAtBIvAYnt6dFDq9kVvXmk6Hvq8rOLXYjSSxPpDH/licWIi2RLgHYp08fKi8vpwkTJtCiRYs0NnoJQPbdiRMntCThxx9/TB6Ph66++mqRPKHbIAEMQAZBWdjMjoQGKgBPBRAPPxZ2ZBtER1rZY8e9Vlx5kCYur/CjsXB0CmV2x+FYNnQTqJCIgN17AMowxstgg5kuYKRic1x6PD04tJsZ8bjGBgKR/kbaYCJUCCSAJLFA+A1UY/4tTyxEWiJdArBNmzbaEt+XX35Z2weQfXbt2kXJyclaBSBb8hsTE3MGs4ULF9LkyZPppptuolWrVonkCd0GCWAAMghK8WbYA/BUAPHwo25HjjR2dk2MVK3+UbdnwHLZCTRMvFuZiJfhty7SsSqcePJkaaQCcNm4VEpPaBuOiWhrMwGefcJm002pc5u/piD5XGTXs1Ckdjr9esy/nR5hY/5JlwBs3Lixtsz33XffpSuuuELz4qOPPqKEhAQtAXj06FFtT0DfD6sY7N27N8XFxdG+ffuMeY5WQglgABKK3zblOAX4NGo8/NjW7bgqiqSqJtDENiaK6MlRKdQrvhW1a9aEq63TV22nwooD9TKzUzrS3OE9ueqAMBBQlYCVE/ZIxgmePO34nbFCB5P5QGGlLgpUMvPsJZAVKQEr7oFIbVLheivHYBX8l8FGzL9liIJ4G6RLALZq1YqOHz9OmzdvptTUVI0Qqwhs3bq1lgB87733qEePHmeQY3sADhgwQNs38LvvvhNPFRaEJIABKCQiWxpY/WOMJcBnhtFq3rZ0GpcpiaSqJtjSNnYK6axhyTQi9UIuRFkF0pD5pWdsoh9FRGV58h8AwAUAhIBAEAJWT9gjGSd4B87K3xkr/dTbx5TxwV6mvHsJ5JklYOU9YNYmXAcCRglg/m2UlLPbSZcAvOqqq7Qk30svvUS/+c1v6ul36NCBPv/8c5o7dy5NnTr1jKg89thj2iEgLVu21CoE8ZGfAAYg8TGyekLEPMTBBOLjDAsiJ2D2Xgm1tI0lATflDIy4EjDYCZqzs5NpZGrnyCFAAggoSsCuCbvZcUIlrHp7jfI4UXll+T7KKawKiAN7AKrUS+S1lUdyXJZqX3kpwzKZCWD+LXN07LNNugQg28uPHf5x77330pw5c+pJ3HrrrfTCCy8QSwRu2LCBunQ5dWLptm3b6LrrrtOqBAcNGkRvvPGGffSgyTQBDECm0UV8IXsA2rr3GN21cjvVnqyrl8crGeFr4MTlW6m48pCfzZnd29PC0b0i9gUCQMAuAmYnDos37KFHX6+m2rrT95qvzZFOnEMlGTFxtquHQI8MBALdp3ZO2M2OEzKwC2UDS3DmFVVSbYOhjMezQ7CXGMwuvMgIFR18H4oArwS9XS8UQvmD70HADAHMv81Qc9410iUAX3vtNbrhhhvokksuoerq6nrilZWV2p6AJ0+epEaNGmn/zU4A/uCDD+inn37Slge/+uqrNGTIEOdFyYEeYQASE1TfB6BAFkSajGgoExWAYuIMrXIQ8L3f2HLcqCgin5w78Zg4hzpBExNnOfoCrLCegN4EHxP2yNnrvWiIiY6i/Ai3Mgh0gFFDi4unplPXDs0jdwQSXEmA9xjAK5noymDAaaEEMP8Wil8a5dIlAH/88Ue67bbbtINA8vPz6eKLL66HtXjxYpo0aZL2XcPPQw89RDNnzpQGLAwJTgADkP09JFSlEI9kREOvmM7UfI+fs+XYl8z+DgCNthIIdL9FR7EkYJRWectrD8AlG/ZQfvHugL5hD0BbQw5lAgmEmuDLOmFXpWJQ70UDj8M59JYV+3Yn3i8nBXZVqBZAwIoqYFXuXQG4oVJiAph/SxwcG02TLgEYyvddu3bRc889Rzt37tQq/1il4C233KKdAoyPOgQwANkfKzsPJPB6h0NA7I8zNMpBINiEuUXTxpTQ7ryI9/4LltTnUZkjB0m+VmDSxpenLNKMTPBli72sSclAMQ2VYI2kH4RKAOJFRiR0cS0jYGX/BWH7CHi3MGIae8W3ivgZyj7L5dGE+bc8sRBpiXIJQJGwoJsfAQxA/FgalaSXLGBVSTmDk2j8gFP7avL8TF9VQYUVB/1EZqfE0tzhKTxVQRYISEXAjgmHXtJjdFocje7dGUvmGvQIlRIuUnVmBYyx437jiUE1e5nvVt0/7ATzzPmlunjPP7sR7fjTdTzxQ5YLCVjVf12IUojLLH65RZX126iwuUtBVncakXqhEHtUVYr5t6qR42s3EoB8eUKaQQIYgAyC4tzMyk28A5k6d101PeGp8ftqSkYCTR+UyNk7ucXJVn0iNy1nWGf1hCNoBWAUUT4ejus7kooJF2fcBfZ5YfX9xtMTIxWLPPXxkmXF71ioCkBmO7YN4RVBd8uJpP9Gcq27qUfuPWPfp8DjdwARW+mwOWcgKgHDQIz5dxiwHNxUmQTg8ePHtUM/2rdvT9HR0Q4OiTtcwwAkLs56D9tW7LGzsnwf5RRW+TnrtoMJVJqYiuuZztRs9aQh2ME+7A35ltwMPBwTkaoJF2feFdZ5Fex+s/peDMcrJKRP0dJ7KdmQpRXPJ+HEC23dTQDPcGLjH2wLI4wN4cUG8+/weDm1tbQJQHba7/Lly7X9/srKyuj777/XNk/fsWMHde3atT4excXFVFpaSueffz498MADTo2T4/zCACQupHZOPPSSjTw2DhdHMDzNeodBrJmCUw3DI4nWegQWb9hDs4t3U12ABm6614L1EDvHPfRU+QjIOIGX0SY7IxfqYDKvLXiRYWdU7NUlU1Jez3P8dtjbJwJpQwUgvxhg/s2PpcqSpEwAHjlyhLKzs2njxo1UV3d6SsMSgJWVlWckANm/e/TooSUH33vvPe2/8ZGfAAYgsTGya+Kht7dP8VT3JL/03lzGREVRflYy9i8Reysorz3UJBoJwNMhtmvcU75TOcwBbfI4e712+rb3Y8Wp92awqZAAMeOXkWuCVfX4Xp8S15yKJqUbEYk2ChFQZTxG9bgcnQp7APKJA+bffDiqLkW6BCCr/Ovfvz9t3rxZW+o7bNgwGjBgAP3hD3/QknwNE4AsAH369KHy8nKaMWMGzZw5U/WYuMJ+DEDiw2zHxAMPToFPn5NtEiq+N8ICswRCTaLdlGw3wtCOcc+IHWhjH4H8tbtoScnHfgqxdMy+GATSxO7F3gWe+k399azJzUykCQMSxBoL7VwJqFRVp5KtXIMkoTCcAhx5UDD/jpyhEyRIlwD8v//7P7rtttuoUaNGtHr1asrMzNQ4s2SgXgJw9uzZlJeXRwMHDqS33nrLCXFxvA8YgBwfYs3BNTsO0OQV2/2cfWpUTxp6eUd3QPh5n6Pcwko6GcBjTEJd0w0scRQVgJZghVCHEGBV6EPnl/qNvdg8XnyAjSYAl41LpfSEtuINhgXcCKj2cliVakVuAYIgxxLA/NuxoQ3LMekSgNdffz2tW7eO7rzzTnrqqafqnQmWAHzzzTdp8ODB1LFjR9q/f39YANBYDAEMQGK42611+qoKKqw46Kc2OyWW5g5PsdscYfoaLl3wGiLLMjRhYKCYCwHWv3IKK7EHIBeaEOIUAnrjLvNvfP+LKG/I6f2kneKzSn6Eql72+jKufzw9OKSbSq7B1hAEVKyqQ/U4urUTCGD+7YQoRu6DdAnACy64gA4fPkwsqXfttdcaSgBWVFTQlVdeSU2aNNFOCsZHfgIYgOSPEQ8LH1lTRc+U7vMTNTa9M80YmsxDhfQy9Cq0WAVK/jDsASh9ABUxMNB+m1FEVJaHU4AVCSHM5EggWGVsTBTRZpyOzZG2OVGhqpe9UgcmtqFnb0szpwRXSUsAVXXShgaGOZgA5t8ODm4YrkmXADz77LPpp59+8jvQI1gFINv/r3fv3nTOOefQt99+G4b7aCqKAAYgUeTt1TtvXTXN99T4KZ2akUDTBiXaa4wgbXpVDjicQVBAHKqWTabT8j1nVAEiAahesFFlwidmOHyJD0erpbAkUF5RJdUGOsL8Z+UpcedT0aT+VpsC+QIIYLwTAB0qXU0A829Xh7/eeekSgN4KQLaX3zXXXFNvaLAE4LJly+i3v/0txcXF0b59/tVGCLV8BDAAyRcTKyzCKcCBDwHB0l8repu7ZRZXHqSJyyv8ICDRrE6/QEUMv1gFqi6LjiJaM8U9J9Dzo2mtJL2xy6vVTSsGrCUN6SAAAm4ngPm323vAKf+lSwCypN+GDRvoT3/6Ez344IOGEoDsoBC2ZPiGG26gwsJCRFYBAhiAFAgSBxNLaw7TmKXlfpLctqk3JvYcOhNEBCWweEMNFRRX+7XBCZpqdBwV98SSnSzGXdkjdMq+QNXLvpaPTY+nGUOxB6Aa0ZTbSlQcyh0fWGc9Acy/rWesggbpEoDz5s2ju+++m1gl4K5du6hFixYaR70KwBdffJF+97vfaScEP/fcc1olID7yE8AAJH+MeFhkvdFnAAAgAElEQVSYV7SDlpf5H8wzOi2O8rMu56FCGRnswXPr3mOavb3iW1G7Zk2UsR2Gyk8Ay+3lj1EwC1U7FVMV2ipM+FWw0cp4M/9T8z26KpJjm9GaKQOsNAGyXUAALwRcEGS4GJIA5t8hEbmigXQJQHaIxyWXXEKfffaZdrDHCy+8QElJSX4JwIMHD9Ljjz9OTz75JNXV1VGXLl3ogw8+oJiYGFcETnUnMQCpHkFj9qMC8DSnxRv20KOvV1NtXR2xJcCzcACIsU4kSSvZJ+m41yTpKCbNQAWgSXCKX4akBFGoJcCJ7ZvSm9NObwmkeMhhvgACGF8FQIdKKQlg/i1lWGw3SroEICNQVlZGAwcOpO+//14D0q1bN6qqqtKq/AYMGEBHjhzRkn0s8cf+d95551FJSQn16NHDdoBQaI4ABiBz3FS8qutDb9CJH2rrTW/aOIZ2PXy9iq6YtnnJhj2UX7z7jOuxD6BpnLZfqMIkHRVktncL7gpV6GfcnXaxQCQlTgU/ZAKw3bn05vSrXdxT4HqkBPD7GClBXO8UAph/OyWSkfkhZQKQufT+++/TqFGjtESf98MSgOzDkn7ez6WXXkovvfQSXX65u5YTRhZ28VdjABIfAzssQFXSqf2Nehd46GSAUw5XjE+jvl3a2BEK6DBJQJVJeqB+xg492JKbgeXmJmMv4jLZK01FMHGqTiQlTkU21BLgq+Jb0D/u6OfUbuAYv2Qeu1T5HXdMZ4Aj0hLA/Fva0NhqmLQJQG+i79VXX6V//vOftHXrVvr888+ptraWWrduTSkpKfTrX/+abr75Ziz7tbXL8FGGAYgPR9mlYA9AIr1JXkxUFG3OHYjkjOSdWJVJOhKAknckmAcCDQggKXEayC1Lt1BJzdGAfSQtviWtuqMv+o/EBFSoXlbBRolDDNMcQgDzb4cEMkI3pE4ARugbLpeYAAYgiYPD0TRUAJ6qbug7ez391KAEMDcziSYM6MKRNkRZQUCVSboqiUorYgSZIBCIgMwVSV57kZQ4RWLo/A1U9enXATtyzuBL6fe/uASdXFICqvxGMnwqjAmShhlmOYQA5t8OCWSEbiABGCFAXG6OAAYgc9xUvCprwUaq2P9lvekpcS2oaJK7lvP4TvLYssycwUk0Hsk/ZbqzCpN0JNuV6U4w1EIC3gl+1YHj9Ngb1dqLF9kPXXJ7UmLXp8cpc36pbq/IG5JE4/vjZZmFt01EovHyKSJ8uBgEbCWA+betuKVV5pgEIDs9eNGiRXT33XdLCxuGnSaAAUh8b7Br0jF91XYqrDhQ73B2SkeaO7yneAA2W8AmORtrjlC/hDbUtUNzm7VDXaQE7LpfzNq5pGQP5a8986AZJguTZ7NEcZ1qBHwT9Q1tx6FL8kZTb+zyWrxsXCqlJ7SV1wGXW6ZSBaDLQwX3QYAw/0YnYASUTwB+/fXX9MQTT9D8+fPp6NGj2h6B+MhPAAOQ2BjZVdGk92a/eGq6q5JgjHdeUSXV1hHFRBHlZ3WnEakXiu0E0B4WAR4JQB4y9Ixes+MATV6x3e/rp0b1pKGXdwzLVzQGAdUI6G214OsHDl2SM6qz1uykpaV7dY2bnZ1MI1M7y2k8rNII2PVMCdwgAAKREcD8OzJ+Trla2QTgsWPHaN68ebRgwQI6fvy4djIwOyUYCUA1uiYGIHFxsvNt7bx11TTfU+Pn7NSMBJo2KFEcBBs143AGG2FbpIrH5IaHjGDuoQLQouBDrBIE9JYheo1HBaCcYWS/j2n5HqoLYp6bnhfkjJIxq6x8wWXMArQCARAIRQDz71CE3PG9FAnA/fv305///Gdat24dsf9u1KgRxcfH00033USTJk2i5s1PL5f75ptv6PHHH9eSf99++62W+GOfNm3a0LRp0ygnJ8cdkVPcSwxA4gJo534tc9ftpic8e/ycnZLRhaYPShIHwUbNxZUHaeLyCj+NC0enUGb3WBstgSozBHgkzHnICGU79gAMRQjfO5lAsApA2fcAdHJcQvkWKnHLrnfbioFQzPA9CIAACJglgPm3WXLOuk54AtDj8VB2djaxxB77eBN6rJqPfS699FJav349dejQgTZu3EijR4/WkoTedhdccIG279+dd95JTZs2dVZ0HOwNBiBxwbUjGeH1DhWAREgAiuvrPDTzSJjr9QGeSxJ52MmDF2SAgCgCDats778+kbp1bE4J7c6jds2aiDILeoMQ0Crk8z10UqdN45go+k9+JhiCAAiAAAhwIID5NweIDhAhNAHI9uy77LLL6MiRI/UoWSVfTEwMff755/XLen/1q19pSb7rrruO/ve//2l/79SpE9133300fvx4Ovvssx0QCne5gAFIbLytXo7o9Q57ABJhCbDYvh6p9kgT5r77P/rawntJIu61SCON651AAIctqRdFNkY+UFgZ0PDb+11ID/2qu3pOwWIQAAEQkJAA5t8SBkWASUITgI899hg98MAD2t59t9xyC82aNUtL7LEPSw7+5S9/oTlz5lB0dDR17NhRq/xjVX4zZ86kKVOmUOPGjQUgg0oeBDAA8aAYmQw7JkoseZKa7/EztDwvw1UVGTgJObK+KvpqswlzvWWJMdFRlD8smetBMKg0Fd1LoF80AbP3qWi7oZ/opkUb6d19X/qhGJvemWYMTQYiEAABEAABDgQw/+YA0QEihCYAMzIy6O2336arrrqKysrKAuJkicHly5dr3zVr1kxrf8UVVzgAvbtdwAAkNv52nUo7/OlNVLb3Cz9n3bT/XaBNztkGB2UuS4KK7fGRa9fb4DzYxud6y3Kt6P+LN9RQQXG1n6O5mYk0YUBC5AAgwRYC2EjfHOZIK3XNacVVPAjovShkspNjz6c1U/rzUAMZIAACIOB6Aph/u74LaACEJgDZvn5sqe9zzz1Hv/3tbwNGZNu2bVqCkFUJsiW/s2fPRuQcQAADkLgg2rUkVW9JIvPcTUmJleX7KKewyi/gs7OTaWRqZ3EdAZojJhCq4ihQUiImiujJUSnUK74V1ypY7LcZcTiFCwjVn4QbKLEB2ANT4uCEME2veplddtfAi+nuX16mrnOwHARAwDQBO1YqmTZO0Qsx/1Y0cJzNFpoAbNKkCf3444/a4R69e/cO6NrXX3+tnQLMEoBvvPEGDRo0iDMCiBNBAAOQCOqndNq1VFAvIcFsmJqRQNMGJYqDYKNmJGZshG2jKqMVR75JnehTZ1vRyToi3ieTunkPQCdUzTEf+sxeT7Wsc/z84b1PpI23h+2qjN6PthsGhSEJ5BXtoOVl+wO2c9OzQkhQaAACLiKArXOsCTbm39ZwVU2q0AQg29uPJfYqKyupa9euuuy87d5//31KTsZeIKp1skD2YgASF0W7EoB6SxK1JOTUdOraobk4CDZqXrPjAE1esd1P41OjetLQyzvaaAlU8SQQzsm+LDmxde8xumvldksTPFkLNlLF/tP7aKXEtaCiSf14ui2drMUb9tCjr1dTbV0d96Sqnc7mr91FS0o+9lPJ86RoO/0RoQsVlCKoR6ZTS3wXeKj2dN77DIHDenagv47Atj+RUcbVIKAWATe/0LQ6Uph/W01YDflKJQBDJQrVQA4rGQEMQOL6gV1LgPUSJGkXtaRVv+8rDoDNmpeU7KH8tbv9tOYNSaLx/bvYbA3U8SDAkk5zinfTyQbCglVsWb1E0Y0VUEs27KH84jPvLRWr5rQxOd/j159Y93LTyxIe96aZvTp56IUMcwT0xkWvtKQLzqM3/vALc8JxFQiAgJIE8NxsXdgw/7aOrUqSkQBUKVoOshUDkNhgaoeArK7SqpGsOJGUeVdac5jGLC33c3TZuFRKT2grFoCN2vEm00bYNqgKlHRiakPdR1Yn6KxOMNqANiwVgV5keAWoVjUXLAmimi9hBdGmxqgMtAm0CTXBkt9MHCoATUDFJSCgOAE8N1sXQMy/rWOrkmQpEoA33HADtWjRQpfb888/ry0VDtWOtXnmmWdU4u9aWzEAiQu9t0KiRdOz6MsTP1JCu/O4Hkbg9Qx7352OMfYyEdffeWj2vWeGPlGq7eHX8GPkZF8rExFue2DWS5rFREXR5tyBloxpPPpSIBl6yyBZUnlzjlq+WMXIrFx2X/zqiY3aEnHvR8UqUbP+q3Dd9FUVVFhxMKCpo9LiqCDrchXcgI0gAAIcCeC5mSNMH1GYf1vDVTWpUiQAeUKrra3lKQ6yLCKAAcgisCHEWpmAaKgap9+eSQSnmYnp85FqbXiIR6DkXzhJJ6sOrHBjBWDf2evppwYByc1MogkD1Ftaz/pZblFlfXKZHRhTkNWdRqReGGkXdu31DZn6gkBlpTzdItgpwKPSOlFBVg95jIUlIAACthHAczN/1Jh/82eqokThCUCe0FgFIBKAPIlaJwsDkHVs9SRbvQSxoV63VSSFiqhViZ9QevG9eQKB7plA0mRIOrnxfmuYnM0ZnETjFUz+efuU97AY9u9e8a2UqmI0f5dZc2WwexcVgNYwNytV76AsJm9KRheaPijJrGhcBwIgAAIg4EMA8290B0ZAaAJw37593KPQuXNn7jIhkD8BDED8mYaSaHeFkN36Qvkv8vuGiYq7BiZQ2sWtLVt+LdJXJ+kOtsyULSlkVVoNk06iEr1uvd9E8XZSP3eiL8Hu3fysZFRWShT0YEuAx6XH04NDu0lkLUwBARAAAXUJYP6tbux4Wi40AcjTEchSiwAGIPvjhQpA+5kzjaEqUWYNw2RUTGRCaw0Uu5gootempAfcP9POJfYNrWe2puV7yHd7wigiKsvLQCVZ6FCjhcMIBLp3WcJ+zZR06tqhucO8tc8dXgl3XzkT/u9d2v7JVwGdmJ2dTCNT8WLfvghDEwiAgJMJYP7t5Oga9w0JQOOs0JIjAQxAHGGGIcrOBIXevj5GDksIwyXpmwY74ZMZj+VocofQ6N5sdifYG1Jz4xJguXsOrBNNoOHv3f3XJ1K3js1ReW0yMLyeH3zlsBcqtQEOVfKauGxcKqUntDVpMS4DARAAARDwJYD5N/oDI4AEIPqBEAIYgIRg15TyeoMfyoNH1uykZ0r3+jUbmx5PM1y0pKe05jCNWVoeFBc2pA/Vm8R9r53QOns91focNhEoaSt6Ce6Skj2Uv3a3H6i8IUk0vr96h2JYFXG7xj+r7Ifc8Ah441114Dg99ka1dmgMu39ReR0+x4aH7ph5eWV0X1WvdVMzEmjaoMTwjEVrEAABxxLAb3hkocX8OzJ+TrkaCUCnRFIxPzAAKRYwE+YOf3oTle39wu/KtPiWtOqOviYkqnmJXmLG642ZSZSaJNS02mhiT2+58OZce5bg6iWaUUFzut/xqmBSsye712rR1blOIG90HAzla6iK+IbXYwlwKKL4HgTcQwC/4ZHHGvPvyBk6QQISgE6IooI+YABSMGhhmjx3XTU94anxu2pKRgJNd9Ebfb2lmQwM25OqIKs7NqQPs2/Z2Tyc5IHR5cJW2I8l98GphhNHK+IDmeII8EpeGfHAqdUpvO6fcCsAi6diz0Yj/Q5tQMDpBHiNQU7nFMo/zL9DEXLH90gAuiPO0nmJAUi6kHA3aEXZXsot2ukntyCrG41Ki+euT2aBKQ//i7448aOfiWz/I7sqxGTmI7tt01dtp8KKA/VmZiZfQGP6dPbbS8zocmEr/F28oYYKiqv9ROdmJtKEAQlWqFRKpp1JIKXAuMBYuyaOslSnWJWE5OWfr5xoIjoZpA9iewwX3KAOcdGq+84heCJ2A7/hESPUBGD+zYej6lKQAFQ9gorajwFI0cCFYfbY58vJs/uw3xUZSW3pmVtTw5CkdtNQewBigiN3fMM5xVnkA+q8ddU0P0DFLfbQOtW/7EoCyd2b3WWd74R8/Qef04OrqyzbA1CW/sUrSafXU3glObxy9h39lnIKq3Q7ZjlOMXfXTauot1bfd4pi4Wq2LGMsV6cECMP8WwB0CVUiAShhUNxgEgYgcVH2Pni3aHoWfXniR8tORPzbOx/S7Nf/4+dozuBL6fe/uEQcAJs1T1y2lYqrDgXUiv3/bA6GCXWh9qzyjaHIB1TsARg6uJikhWbklBaBYj3wsnZU8/k3lvzmiUz+e2Mmcvwx22+Yzan5noCXN24URf+ZlWlWNK4DAVsIqHjf2QLGAiX4DY8cKubfkTN0ggQkAJ0QRQV9wAAkJmi+P55eC6w6EREVSacIj166mTbWHAsY8NzMJJowACe0irkbjGkNtoejV4JvFaeoB1TsAWgsnrwqmIxpQysRBERMyEXobMhWhiSkmXj3KVhHn371g9+l3TqcR2un/sKMSFwDArYRUPW+sw0QZ0X4DY8MKObfkfFzytVIADolkor5gQHI/oCFWsq4KWcgtWvWhJthc9ftpic8e/zkTcnoQtMHJXHTI7ug6+b9m6oPfRvQzIWjUyize6zsLrjavnAqAL2gRDygIgHo6m4K530IiJqQi0r++447fWev15Y5ez8qVJmPfa6MPNVHAjwruOvAMNzEahKQIfmvJjlYLYIA5t8iqMunU7oE4H//+1+N0nnnnUetWrWSjxgs4kIAAxAXjGEJCZXI4L0XHSoAT4VnzNItVFpzFAnAsHqrPI1DJc5nDUsO6xRnq5KDTG7vAg/5zP21U6a35GZwTezLExlYAgKBCYickFt1fxuNtegkpFE7fZOWekuAUSEfLk20F0VAtftOFCfoFU8A82/xMZDBAukSgNHR0RQVFUVPPvkkTZw4UQZGsMECAhiALIAaQmSoRAbvCkC9pZPFU9Opa4fm9gMQpHHNjgM0ecX2gNrdxkJQCCJW2/DhftI1Xei8Jo2oX0KbsPqy1ZMEJj9vdRXVnqyjmOgoyg8zORkxKAgAAUkIWH2v8XSTd9KQtzyevjaUtbJ8n+4hIOPS4+nBod2sVA/ZIMCNgEr3HTenIUg5Aph/KxcySwyWLgF47rnn0vfff09btmyhq666yhKnIVQ8AQxAYmJg5x6Aept7u+1Uv2ATHLcthxbT6/lo9T7cVx04To+9UR32aaJ2VSWxxPvGmiNhJyf5UIIUVQk4cfKqgk8qJSqt6Nt6KwWYrrHpnWnG0GQr1EImCIAACLiSAObfrgy7n9PSJQAvvfRS2rNnD23cuJF69+6NKDmUAAYgcYG16xRg7El2Ksaz1u6kpSV7Awa8f0JrenEcxjlxd0N4miNJ4tmxL5nbkwnhRROtvQTQb8T0hUjGEzEW89eqd3o505SZ3J4WjunFXykkggAIgIBLCWD+7dLAN3BbugTg5MmTadGiRfToo4/SPffcgyg5lAAGIIcG1sctHAJyCkawCsCCrG40Ki3e+Z3BIR6aTeKxif7WvcforpXbteW53g/PDfqZjj6z11sm3yEhhBsNCCAJJa5LmB1PxFnMX/PcddX0hKcmoGBUyPPnDYkgAALuJoD5t7vj7/VeugTghx9+SCkpKdohINu2baOOHTsiUg4kgAHIgUFt4JLeyX4ZiW3omdvSnA/gZw/1lkKzr3MzE2nCgATXsFDdUTPJEt/qKnYoB/uwHCBL/oV7gEgwfvlrd9GSko/9mvA+3Ef1GML+MwkgCSWuR5gZT8RZa43mrAUlVLH/q4DCF45OoczusdYohlQQAAEQcCEBzL9dGPQALkuXAGQ2vvrqqzRmzBhq3ry5Vgl44403UuPGjRExBxHAACQ+mFbvj3T7c2W0vvqIn6MDE9vQs0gAalzSE1rRsnF9xHcGWBCSgJk9AANN8GOiiJ4clUK94ltxO51Xq/4r8FDt6eJCzR92EMjmnIHc9ISEhAbKEUASSmzI3L78+uanN1L53i8DBsFt+wWL7YnQDgIg4AYCmH+7IcqhfZQuAThw4EDN6n379tHHH3+snQjMkn+XXHIJtWzZkmJiYnS9Ym09Hk9or9FCOAEMQGJDYMekY+zzZeTZ7Z8AzEhqQ8/c6p4KQL0KG9YDUuLOp6JJ/cV2BmgPSaBhFd9dAxMo8YJm2nXBEnl2VVfp6Rnf/yLKG9I1pH9o4G4CdvweuJtwcO+tfhknM/usp0qp4pPjfibGtTyHSu4/NR/ABwRAAARAgA8BzL/5cFRdinQJwOjoaC3pxz7/z96XgGdRXf2fEBBElB0MYSeSCGGJxYQlIBJBCLgkrQUD/8+FRUWFQq2SBHeSCLZQcCeAfi1LsV8T1CSg+KJCAiRSAiYg0URBBJVdRXAL/J878MbJO9udmTszd2bOPE8fS967nPM7d+7M+c2555w/HxLOoIA2aU/akv/W1ta63Sa+kB83IOfMbFfEB+YAvGBjtSPA8V1awOv3DXFuMeDMmgjI3S+kEznOq3WU1657TUnG5D5XwosTf6epIzZABPxMQqH1nUMA3xOcwx5nRgQQAf8hgP63/2wupzF3BODw4cPrCEAjJnrvvfeMdMM+NiOAG5DNgIumsysqCV/sfwNdKc9RSlwHWDQ+zrnFgDNrIqAWwRnsrFbMw67oqkUbq2CxTDL9opmJ0Cuiuaae2AARQAS8gYBbyFwi52PrKmDDniMS4O8e0hkeu6mPNwyCWiACiAAiwAkC6H9zYgiHxeCOAHQYD5zeJgRwA7IJaJlp7IpKmr22HPLKD0skSI3rAAt9Rnot3VwN2UVVEiywCIhz9wHtzOR+GZgVgHMaHdSKbdjhkOduqYGswn0SKTPHxsDUoT1o1cV2iAAi4GIE7PrgYBYisZxyY115RWPYnnGD2WmwPyKACCACiIAIAfS/cTkQBJAAxHXgCAK4ATkCe92kdjgJq0v3Q0b+Homi2Sm9IS2hq7MA2Dz7mrIDkJ5XKZk1JzUWbo/vYrM0OJ1eBDLzP4JVpQcVu6lFAOqdy2j7vV99C8mLiyXdMQLQKKLYDxFwFwJ2fdwzi4pSygLxuIO7t4TV0wabnQr7IwKIgMcQsOODqscgq6cO+t9eti69bkgA0mOFLRkigBsQQzANDmX1QxQjkn4zjBKB9OLEOEju08GgBbGbXQiQeyUhOwByaWkJ+Tfv1liYEN/ZLnFk5xFkzAqAOHMuyaZbmpmEVYAdtQxOjgjYg4Bd6T3MakOTVsGPJwXM4or9EQGvI2BH8ILXMUT/2+sWptPPFQQgKfDx2WefwYkTJwStWrVqBd26dQNSMAQvdyKAG5A77aZHaowAvICW2hFSjM7Ss6KcbUtePDPzK6D2PEB4GMCcMTHQO7I5RLVrxgXB5hbn31krXrgfq4+c5sZuoXjwLp/T9sP5lRHwUgRg+piecM91V6G5EQFEABGoe5cenLMJfiXV1y5ePJy+cJt50P92m8WskZdrAvDtt9+G559/Ht5//304c+ZMPQSaNm0K119/PTzwwAMwatQoa9DBUS1DADcgy6DlZuDpK3dAUeU3EnmSY9vDi5MGcCOn1YKoRTuo5Y2zWi4cXz8CPJMzbnH+9aPOrgfv0QO8y8fOEjiSVQi4ZQ2JP6jIYZEU3QaW35VgFUw4LiKACLgMAfzIycZg6H+zwdHto3BJAP78889wxx13wOuvvy7gSyIA5a6wMHLACWD8+PHw2muvwSWXXOJ2e/hGftyA+DC1lYTGfSt3wHoZAnBMbHt4yUcEIME4Pisga3CMAOTjPvCKFLPX7oK88kN16qTGRcLC8f29op4pPXgnSHmXzxT42NlWBKx8rrNUpKjiMExfVS47ZGJUa1g5ZSDL6XAsRAARcDEC+IxkYzz0v9ng6PZRuCQA//CHP0B+fr5A/DVs2BBGjhwJCQkJcOWVVwp/++abb6CsrAw2btwIv/zyCxAi8Pe//30dYeh2o/hBftyAnLfy0s01MH99FdSS+8yCPGaz/rUT8nd9JVE0pX8ELJpwjfMA2CSBGgGIOQBtMgKjabQca63fiRg0bYyI6+ccgDSY8h49wLt8RtYk9kEE1BAorj4Kk5aVyTa5tX8E/N1H7wm4UhABRECKQOizHT9yml8l6H+bx9ALI3BHABYWFsJNN90kkHrDhw+HFStWQJcu8lUyv/jiC7j77rth06ZNQvu33noLkpOTvWAXz+uAG5CzJs7dXANZRfvqCcE6l8asteWQX35YSgDGdYBF4+OcBcDG2dWOACMBaKMhTE6ldbRO63cyPU0bo2L6tdI0LaZCLs7sAIjSB0GDMIDtGXwUSXE6uoGGRDW6NrGfOgJ+xV6pUBhBCyMA8a5BBPyNQOiz/ZHR0TB/QxXmADS5LND/NgmgR7pzRwDedttt8J///Af69+8PpaWl0KhRI1WoSQQgiQ7cvXs3pKamwr///W+PmMbbauAG5Jx95RzhoDQsc9JhBOAFVLEIiHNrndXMSuTMmw8OgVNnfoEWTRvBzc+VqL6YWk3wLNpYBYsD1RKVZyZFwayR0ayg4GocPZjyTgBaTRCrGY6WROXK+B4Rxs/Yq0UAPjiiO/x51NUesTKqgQggAnoQkHu2kw924g94VvgtemR0a1v0v91qObZyc0cAdurUCQ4fPgz/+Mc/YOLEiVTarl69GiZNmgSRkZFw8OBBqj7YyFkEcANyDn+liLTwsDDYljGCWUVTjAD8zcaz15ZDnkw0ZE5qLNweLx/h7NwKwZlDEVC7Z8gRepoXU6uPeO796ltIXlwsMZ6X80zqwVRPWyfvALujwfSQqE7i4sW5/Yy9mPiUs21STBtYficWAfHiukedEAEtBLTeuYL9WZ9c0pLLC7+j/+0FK5rXgTsCsEmTJkJevx07dkBcHN0xwZ07d8KAAQOgcePGcPbsWfOo4AiWI4AbkOUQK04g53SQxhnJMTBtWA9mgiEB+BuUfozOYraQOBhI6Z5REy30xdRqZ5+MPzG3FD49crpOrLhOLSD//iEcIGiNCHow1dPWGmn5HNUtxCif6JmTyq/Y0+yn8V1bwOv3enfvMrdysDci4G0ElJ7XD188Blx77jyENwiDrFtjYUJ8Z2+DwVg79L8ZA+rS4bgjAFu3bg2nTp2Ct99+G2644QYqWN99910YNWoUtGzZEo4fP07VB40uuwIAACAASURBVBs5iwBuQM7iL/76TqKX0sfEwFSG5B/RbtbanZBfLlMEJC4CFo33TxEQgoUfo7OcXeHsZxcXzWkAAOdkpiBRtGpFdaw67kfGzcyvgNrz9YXyw9dxPZjqact+BfE5IhKjbO2iJ4LTr9ir5cUNWiMtoSNkp/RjaxwcDRFABFyDgPBes64SxGQfET74rhMeBpCV0gcJQJ0WRf9bJ2Aebc4dATh48GAh9x8p7pGbm0sF+5QpU4RiIQMHDoStW7dS9cFGziKAG5Cz+JPZ9TgqRqTNyNsNq8u+lHRNi+8I2an+erH3c4VWI2uHtz5i4ijsonAhXJtQSTuYEzCqXbO6o/Sh9xnr+04rmoZlXk/e7BKURw+metryqi9ruZAYZYOoERyN9GEjrXOjKH0QE0u0cko8JEa1dU5InBkR4AgBPz63xB82Cdk3Z0wMFgFhsCbR/2YAogeG4I4AfOaZZyAjIwMaNGgAy5YtgzvvvFMV5tdeew0mT54stMnJyYGHH37YA2bxvgq4AXnfxgs37oMlgRqJojOSesDskTHeB0CkoV+PennByFoEG9FR6SiKHc69WjSNHyIAvbDGeNDBKw6mU3qYieZzSman1l1W4V7I3fK56vQZydEwbViUUyLivIgANwjY8R7BjbIXBcEiINZZBP1v67B108jcEYA//PAD9OzZE77++msBx9GjRwvRgKTSb/v27YW/ffPNN0KU4PLly4WjwufPnxcKgFRVVUHTpk3dhL9vZcUNyPumH//yVijdf1KiaFpCJ8hO6et9AEQakpeZQTmbhKMMwQvJGXcsAZrjai9OjIPkPh3qKWSGENCDTO7mGsgq2ifbxes5APXgRNr6jWjRi4/b2zvpKONHHrrVIzwLswOSdAWhvVPjOsDC8XR5wOlmxlaIgPsQsOs9gjdksAiIdRZB/9s6bN00MncEIAGvvLxcyP938uRJCAsLHriSh5WQfyT336ZNm6BfP38dK3TTQguVFTcgN1tPW3by0hKfFZBt6McjwMQxTc+rAPGx0dS4SFg4vr82mNjCUQS0IgCViFylF1g5stCoglqykXG9XAVYD25OkkN65MS2xhBw2lF2en5jqNnfi+aDCpEKjwDbbxuckT8E/PphQa0IyIINVfDrufNC2pV5WARE96JF/1s3ZJ7swCUBSJA+fPgwzJw5E9atWwe1tbWy4IeHh0NKSgosWrRIiADEyz0I4AbkHlsZkXRN2QFIz6uU7ZqTGgu3x3cxMqwr+yhFPJBjo9vSR9TlinOlcj4ROrRoDlGbBHOqvYAqkXMsK9fRONOZY2Ng6lB21b3daHIkZ9xoNX0y8+AoI8msbTOajxZklLLMJHw2asOJLXQi4LYocD8/u5T2U7fZUOcStbw5+t+WQ+yKCbglAIPokaPA7733HlRWVsKJEyeEP7dq1QpiY2Nh+PDhEBER4QqgUcj6COAG5O0VsWhjFSwOVMsq6bcXezWSxg8FGryy0sUvnUSn6iOnQVzsQ05Pq6vz0jjTGAEIwAM55JX7gFc9aBxlOxxHO+bg1Qa0cqmlLQiOgTkAadHEdrQIuJWgd6vctHZRa4f7KQsU0f9mj6L7R+SeAHQ/xKiBHAJIAHp7XRRXH4VJy8okSk5O7AqPjuvtbeVDtFOqeIgRgP5YBkUVh2H6qnKJsqzIX7FzEDoJ5gC8gIgSUZqRHAPThvk7OtJLd6Gao+wnJ5p3p1lpTxSvxeTY9vDipAFeWp6oi4MI0HwgcFA8zal5v6c1FcAG3CCA/jc3pnBUECQAHYXfv5PjBuRt2y/dXA3ZRVUSJf34VV8p+mjq0G6QObaXtxeCx7Qz8hJuh+NB5tix/wTcv7oczosSTTYIA9iegUfpyDKUizrCQjweu0EVCr3YcQ/ygqQbiE61FCFBHGck9YDZI2N4gRXlcDkCGAXuTgMaeedyp6b2SY3+t31Y8zyTKwlAUgW4oKAAjh07Bt26dYObbroJLr30Up5xRtlCEMANyNtLYlLuNiiuuXBkX3wl9mgFK6cO8rbyIdrJOZ8NAGA75jhy1Tow41ib6UsLkpJTzbLoCK0sPLazOhKTR51RpgsI+MX5dwvRSUMA+vFjoR/vV7sIHrfcG35cA0o62/He5Ee80f/2o9WlOnNHAH788cfw+OOPC9V/X3nlFWjRokU9qd98801IS0uDs2fP1v29U6dOQP7et29ftKpLEMANyCWGMijmpGXbobj6uJQAjGoNK6cMNDiqe7uRF5mM/AqhcAS5SGRWdkofmBDf2b1K+UhyFs6DlY6OsL7yKuCcjE2QAASwOhejj24FV6oqFGLK2QS1wQ0YLhTw2cpJESaSJqKk+hgMiWoDvSKaG8bYLUQnzRHgmUlRMGtktGEssCP/CNhN8Ng9H/8W4FdCFu9c/GrnrGTofzuLPy+zc0cA5uTkQGZmJgwbNgzef//9ejgdOXIEoqKi4PTp0xL8CAm4d+9euOyyy3jBFuVQQQA3ID6Wh1WkxNMFlbC8+IBEycmJXeDRcbF8KG+jFLw7oDZC4cqpeHas1QqB4BFg5fx/LKsxu3JR+0honj/AzF67C/LKD9VZIzUuEhaO72/IOm5xmpXy4oqVXjklHhKj2hrCATvxj4BTa9Wqd17+EXeXhDy/c7kLSam06H+73YJs5OeOALzhhhuEqr/z58+Hhx56qJ6WTzzxBDz11FPQsGFDWLBgASQlJcHbb78Nc+bMgfPnz8Pf/vY3+NOf/sQGGRzFUgRwA7IUXqrBrfwampG3G1aXfSmRIy2+I2Sn9qOSz0uN8GXG3dZ0ylmhQU1pbWGU6QX0lPDByEia1eX+NnL3bngYwDYOcmMqEWFmKndb+VxntRpoIgBZFUliJTOOwxYBfCdii6fXRuP5ncvtWKP/7XYLspGfOwKwZ8+eUFNTAxs2bICRI0fW05Ic8d2zZw/cddddsGzZsrrf7rnnHsjNzYXhw4fDpk2b2CCDo1iKAG5AlsKrObjVD9e7Xy2FTVXHJHKMiG4DK+5K0JTPaw2scPS8hhHv+oiPkRICIYuTI9yyOSbDAApmJJo6Tsi7PWjls3qvo5UD2zmDAM9EQ+6WGsgq3CcBJnNsDEwdarw6Ne9RTjQEYBnmyHXmhrFpVtyXbQLaxdMofczgfX/jHXL0v3m3kD3ycUcAtmzZEr777jv473//C/37/3YMghT8aN++vYDKxo0bYcSIEXUIFRYWCoVA2rZtC6RACF78I4AbkLM2stopSnlhC5Qf/E6iZFynKyD//qHOKu/A7Fbj7YBKvptSIADXVQp5xEKPjzr9QuqGqB8nFwzLY5ZO6oFz60eAZ6LBrx+GiE3iswKKxmzb7BL4cG79AAD9lscevCOAzy3eLcRePr3vSqHtcc2Ytwn63+Yx9MII3BGAjRs3hl9//RVKSkpg4MDfigWsW7cOUlNTgfx+6tQp4b/Ba+fOnTBgwABo1KgR/PTTT16wi+d1wA3IWRNb7RQt3LgPlgRqJErOSOoBs0fGOKu8A7NbjbcDKvlqSjX7bfr4CMxdVwm/njsvFBaYd2usI8Vd9L5Y+8WAeO/5xdLKevLsNPqRnCb2mJNXoWiw9DE94Z7rrsKF6wMEvPjc8qJOLJai2X0Yn+UsrACA/jcbHN0+CncEYEREBJBiH2vWrIE//vGPdfg++OCD8MILL8CQIUNgy5Yt9XAvKysTyEISPXj8uLTyqNuN5EX5cQNy3qpmH8ZqGvg1skENE16PkDq/EvmXQC2P3Iw1uwTyL3jxVF2Uf2StlxBzAFqPsRtm4NkpZ1UF2C12GJgVkK1YHpQ/JzUWbo/v4gZ1UEZEoB4CVr5XuxlqFuQdnqRhswLQ/2aDo9tH4Y4AHD16tHDElxzpJVF/5Dp79ix069YNjh49CnPnzoUnn3yyHu7//ve/Yfz48RATEyNUAsaLfwRwA+LDRlY5RUo5fvyceF/tCCkfqwGlUEJA6eV1ye39Yfqqckk3TGDPz1pSqpKMVYD5sZFdkhh53hnpY5c+bpxHyYkX6zImtj28NGmAG9VDmRkj4Kb7jwXJxRg+boZjQd4hvmzMif43GxzdPgp3BOBrr70Gd999N4SFhcFtt90GiYmJsHbtWuFIcIMGDaCyslIg+sQXqRa8cOFCSE5OhoKCArfbxBfy4wbkbTOvKTsA6XmVEiX9+mUfX1zcv96Xbq6B+euroPb8b0d9R1zdDgbnbMIIQM7NK46+FYuK0ZqcG46heEYic4z0YSgyl0OZJWRIf60IwC6tmsAHDydxqT8KxRYBtfXktvtP6cM3fhAEYPUOjB/Szd9/6H+bx9ALI3BHAJ47d06o5ltcXCyQgMHr/PnzMHnyZKHab+jVvXt3OHDgADz77LMwe/ZsL9jF8zrgBuRtEyMBWN++LL5+envF8K2d2BFpEAaQPiYGpg67UKXTbU4K30hbJx06Z+rYEgdtx/4TQqMBXVtBu8ubWGcMm0c24nwa6WOzWrZPx2qv08oB2KllE9jyCBKAthvY5gnV1pPb7j/8yKS9eFikwWExhrak3m6B/re37UurHXcEIBH8hx9+gMcffxzI0d6vv/4aSF7AO+64Ax599FFo2LBhPd3eeustuOWWWwSycNeuXdCnTx9a3bGdgwjgBuQg+DZMjQRgfZCFqIfsAIhSxQEhkrZnJHnK0bZhadk+BY0jYjYqxnalfDghjR19CEsdiZ2RX1G3P5G9KTuljyPFbKywgZEPMEb6WCE7L2Oyvn8KPjoED6zeJaverf0j4O8TruFFdZTDAgS01pOb7j9MM0G3QMxG72mtGTopsBX637gGCAJcEoB6THPy5En47rvvhC5dumDSYD3YOdkWNyAn0bd+7qcL9sDy4v2SiSYndoVHx/W2XgDOZiAvLglZAfitVAQAiW8uzUQCkDNTScRxkyPCO5Z2yOelI2V24TUoOwC14s0JAEiOxG3pI1z9gSJYXOPqiCvgzhUf6jqqj85m/dXHeh9UywU4MykKZo2MtmP565oDP/Togku1sdZ6ctP9h4WmtNcFC3tqrRltKbAFQQD9b1wHniAA0YzuRAA3IHfajVbqScu2Q3G1tCJ3YlRrWDllIO0wnmmHRVHca0qlr/sZyTEw7eIxYD3aoROpBy19bWmOKCL+dMQOaeXm3FWz1+6CvPJDdcrGdWoBFYe+FUhAkvtx3q2xmhGONOtJ3wqVb+2GNck6ip2Qs8mLi2UBKZqZCL0imrOAltkYdq0FZgJzPhANIeQWzGl04dwclovHgrxDnNmYCf1vNji6fRTXRwC63QBE/ocffljIXxi83nvvPSEPotq1YcMGWLp0KZSVlQnVkdu2bQvx8fEwbdo0IJWUaa5ff/0Vli9fDqtWrYKPP/4YTp8+DZGRkXDDDTfAjBkzoFevXjTDGGqDG5Ah2FzTac5/dsG/PvzN+QoKPuHaSHjm9/1dowcrQUkBieyifZLhjJJIrOTCcegQmL7yv1BU+XW9xkYKSFjt0Hg5j5uSpYLkSYumjeDm50rqRXmFhwE8lxbnuZx2dKuWrhXBz2sRgErk0sop8dAgLAyi2jWjjmwMRhEOiWpjCSll9Z5Atwq0W7EmABdu3AdLAjWyE5dxFhnvBPHgBlJYe9Wot6BZ+27BgUYXs3i5uT+rewhxNr8K0P82j6EXRkAC0GEr7t69GwYMGACEjKMhAEkxlHvvvVcg/5QuQgK+/PLL9YqohLY9fvw4jB07FkpLS2WHady4Mbz44otCRWYrLtyArECVnzFTXiiG8oPfSgSK69Qc8u9P5EdQmySZ/FoZBPYdlczG61Enm2BxxTRyjm9QcBIhRciE6iOnNUkFVi/ASqCRF2Mv53GT0zu0OIs4x6a4PW3ElysWpAVCem3t5G6pgaxC6QeXiQmdYOYNPanJP6udTav3BJZLhUUEj1ie4c++B/uPn5EV0arIU6NkEmvdtexi9brTmt/O343axE4Zaefyki60Outpx2pdI856UJe2Rf/bHH5e6c0tAUgi0gjJtWXLFvjss8/g+++/B1IhWO0ihUDERBrvRiL6DBw4ED788ENo164dHDlyRBBZLQIwMzMTsrOzhXZxcXFC9GCPHj2gpqYGFixYAOXl5cJvpN28efNkIaitrYURI0bA5s2bhd9TU1Nh6tSp0KpVK4EQJP2ILOHh4VBYWAg33ngjcyhxA2IOKVcDvvLBp5Cz/hOJTOljesI9113FlaxWCyOX/y84J4lISYxqa7UIOL4JBJScP1KknlQDXrChiupYoZVOpBejuLRMpnQ0W6mfkYhNLRm89LuXokfVjpfSksF2kHNW7gms1yZLPMhY8VkBRRGzU3pDWkJXpiqYIR9Y6q6llJ1zacmCv+tDAIkpbbwQI22MrG6B/rfVCLtjfC4JwIULF0J6erpA5pGIN9qLEICE3HLL9fe//x1mzZoFMTExkJKSAjk5OYLoSgRgdXU1XH311QIuJGqQEHiXXnppnbpnzpyB6667Dnbs2CFUS963b59ADoZer732Gtx1113Cn6dPnw4vvPBCvSZknt/97ndCcZWrrroK9u7dK6m+bBZj3IDMIsh3fzc5NlYjqZbs3KpIB6t18tP4amQCKZRQKwo7UyKZguTKg2t2UbXXi68f15iSzuHkPUDhvQHvN70ry73tQ3MAijWhIYPteIa5jewxQ6KJ8Vfbr0g71icFWODMSnetO8qOdaclA/6uHwG71od+ybAHIlAfAfS/cUUQBLgjAEluu+TkZME6hNBLSEgQyCgSndagQQNNqz3++OOabXhocPDgQSHHHsm7Rwi/999/H5588klBNCUC8P777xeO5ZJr27ZtQvRg6LV9+3YYNGiQ8OcHHngAnnvuOUmb3r17C6Rey5YthWpATZs2lbR55plnBBKWXP/3f/8Hv//975nChhsQUzi5G4x1viDuFNQhkIBFVgDk4pd5THauQzVfNFUq4KKkfCjJFHpMlfQjnCFtJBINyH5cY0pO/ZsPDoH9x34Aq8hWGntgGz4QIOT9qu0HYFXpQYlAWmQwC9KIBgW3EQcsInjUPqoQzOI6XgH5DwylgY+qDStSjYXuWgLbte605MDf6RFAm9FjhS2dRwD9b+dtwIME3BGApIDFO++8I5BTb775JgwZMoQHnJjLcNNNN0FBQQHccccdQCLynnjiCVUCkERCdurUCQ4dOiREDJIj0koX+b2qqgo6duwIX3zxRb1cgJ9++in07NlT6EpyCb700kuyw3z99dcQEREh/JaWliYUCmF54QbEEk3+xpI79hoGAKWcJfe2C7mswr2Qu+VzyXQvToyD5D4d7BID5zGAgBIBSNZzA40IQDnHwKrCFEprTIvoMAAJN13UyBO3ESvcgOoxQcw453atITuIJZ7MqvVRJS2hI2Sn9GMmspk1wEwIHQPZte50iIRNVRBgRTAjyIiAHQig/20HyvzPwR0B2KZNGzh58iSQY8AzZ87kH0EDEr7++uswfvx4IaqRHNMlFXy1CECSBzF4nPeee+4RinwoXeT3YJEQ0q9bt251TVesWAGTJ08W/r1mzRqYMGGC4jjR0dHwySefQOfOneHAgQMGNFXughsQUzi5G0zpBd+vhJdSHkByhDTr1liYEN+ZOxuiQBcQkItmJX8nFZyvaNII5q6rVMwBaKdjIOQBzNlkyRFjnteCGnniRmLFjTLzvD6IbGYIFbQHe+tqEYDPp/WHcX0jmU5sZg0wFYRyMFx3lEBx0MxtBDMHkKEIDiKA/reD4HM0NXcEIDmO+tNPP0FZWZlw9Ndr16lTp4Q8fiTCLjc3F6ZMmSKoqEUAkmIc48aNE9ouWrQI/vSnPylCQ36fPXu28DvpFzxSTf79l7/8Bf76178Kv5GCIf3791cc55ZbbhGiMMlRbFKE5bLLLmNmDtyAmEGpeyA7XiyXbq6G7KIqiWwZydEwbViUbpnd3kErKf3W9BHUlSndjoUb5ReqpOZV1B3jFldv1iKgBudsEgjC4EWTf8woRm5zco3q6dV+aD/rLGvHc8866b01stYR4MyxMTB1qDR/tVkUcA2YRRD7K60h3LutWRt4z7LHFf1v9pi6cUTuCEBSdIJErRUXF9flsnMjsEoyT5s2TSD+Bg8eLOhIyDVyaRGAJOLvvvvuE9r++9//hj/84Q+KsJCcfbfddpvwO+lHIgKDF4n4W7t2rfDPo0ePAom4VLpIDsFggRASqUgiAmkvssGoXV999RXEx8cLTUg+RHJcGS/rEbDrJWXRxipYHKiWKCQmTqzXlp8ZcrfUQFbhPkWBvHxMkx8rGJeE3Dfp+RUQrC1Bdu2c1D5UkZt23XNB7YhzXVJ9DIZEtYFeEc2NK409bUUAo0hshRsncxABrSIgmBvXQePg1IoIaD3Lkaxiu3i08GY7m39GQwLQP7ZW05Q7ApBEri1evBjmz58PDz30kKesRAi/YcOGQXh4OOzcuRP69OlTp58WAfjss8/Cww8/LLRfv349kFyJShf5PRj1R6L9/vznP9c1HTt2LBQVFQn/Pnv2LDRp0kRxnEceeQQWLFgg/E4qC+uJyAwSmzQGRAKQBiXzbex0MFeX7oeM/D0SobNTekNaQlfzyrhsBIwAdJnBROIqHd8mTcpkclrKOQF2OQb4wuzedWbncXE5lOxao1ZayAs6WIkPL2MXVx+FScvKZMW5JDwMPsm6UAgQL0SAFwTsfH/mRWcn5UC8rUMfCUDrsHXTyNwRgIcPH4a+fftCo0aNhCOqV155pZvwVJT1559/Fo7bkuId5BhukFgLdtAiAJ9++ml47LHHhOaBQABGjBihONemTZsgKSlJ+J30mzt3bl1b8nfyO7lqa2tVKyuT+Uh/cm3ZsgUSExOpbYEEIDVUtjW008Gc/FoZBPYdleiWFNMWlt95IfLTb9fstbsgr/xQPbVZVoL1G5526auWr2pGUg8Y2L0NRLVrJhzhdpKAwxdmu1aENfM4aT8n1y0rNL2gAysseB9HLSK+S6tL4YOHld9vedcN5fMmAna+P3sTQX1aId768NLTGglAPWh5ty13BCCBuqSkBFJSUqBZs2bw/PPP18th51ZTBAk+UlBj7969knx6WgSg2yIA8QgwfyvVTgdz7OLNsOer7yUg9I64HApnDuMPHJskCh7PvDriCmgQFlZHHNk0PU5jAAGlfJbioUgxlzmjo2H+hirb8v2FqoIvzAaMy1kXJ0gsO58LVsHtBR2swobHcdUi4ts3awSlc0fxKDbK5GMEcI+x1/iIt3V4IwFoHbZuGpk7AjAY2UYiAUkFWhJJ1qJFCyC5AUmBELWLtCXRcbxdJH9ev379gEQBvvHGG3DzzTdLRNQiAN2WA1DLBrgBaSFkze92OZgpzxdD+ZffSpSI69gc8h+gjyS1BgXnRsUjas5hb3TmWWt3Qn75V5rdSV7A30p9/NbcrvyO+MKsaSJXNLB7j/ACcaykAykmcUv/SCywxOHKj84ohJ/OSQVr06wh7Jh7I4cSo0heQMDM/mrX+7MXcGahA+LNAkXpGOh/W4Or20bljgBs0KBBXWGM88GM6xqoEuKPtCX/JcdaebtIEY6lS5dC9+7dISsrS1Y8UrjjP//5j/Dbo48+Cr169RL+/0033SRECxYUFAj/n1xmqgCTvIp/+9vfhHGwCjBvK8Ueecy8ANFKWPDRIXhg9S5J8+fT+sO4vpG0w3iqHb7MuNOck18rhcC+Y1TCNwgDEBX8BSsr/soJhGtM3Ux27H1UC4WjRl4gjuV0CEKMaRY4WmwiURKfeRe+PPWTRLjb4ztCTmo/PoVGqVyNAIvnIz5D7F0CiDd7vJEAZI+pG0fkjgAcPnx4HQFoBND33nvPSDdL+9x5553wv//7v4bm+Pzzz6Fr165CZeQePXoIYxBCkUQEKl1BwpH8Tvp169atrumKFStg8uTJwr/XrFkDpCqw0kWq/pIoTHJs+cCBA4bkV+qEGxBTOLkbjDy047Ok0bhyRRO4E94CgbzgZFsAiyuGXLixCpbIVLSWE35iQidY++GXwjFgp4gHrAIsv6xYOH92LFgnHJ5QbB4ZHQ29I5u7JkUBwSx382ewomQ/1IoZ+IsGY0XEO2EbO9ac3XMs2lgFixX2VL++I9htA7/Nh+9gfrM46ov+N64BNQS4IwC9aC4WBCCJcOzYsSOQo9ExMTFCMRGl6+qrrwZy7DgyMhJIhV1xQQ5C6BFij1z33nsvvPTSS7LDfP311xARESH8dvvtt8Pq1auZmgYJQKZw6hos6MS0aNoITp35xRInzwvHynSBqtEY8WCJpr1jqRUBEUtCov+2Z1wovlR95LQl95WW5m4hubT0YP27W5w/J+0XfC5UHvoWFlzMZekUia3H/mLMwsMARsdeCYUVX0uGMHsU30nb6MGD97ZknSVkBWTTJUS2aAIlcy7soXghAiwRwHcwlmjiWG5GAP1vN1uPnexIALLD0tRIWjkAyeDTp0+vI+y2bdsGAwcOlMy5fft2GDRokPB30v6FF16QtCHHiwmB2KpVK4EglMut+Mwzz0B6errQ9/XXX4fbbrvNlH6hnXEDYgon9WBiJybYyQon75UPPoWc9Z9I5Eof0xPuue4qanm90lAp6XnRzEToFdHcK2p6Ug+1hPXBvH+EeMhK6QMT4js7hoFbSC4nAHKD88eD/XiQQc/6kJO3ARmA8VF8t+GiB0O72yrdi0E58Jloj0X8Fs2K97A96wpn4R8B9L/5t5EdEiIBaAfKFHPQEIAkeq93797w66+/woABA2Dz5s1w6aWX1o1+9uxZGDZsGOzYsQMaNmwoVBsmxVNCL/Ex4Pvvv1+otCy+ampq4JprroHvvvtOOHZMognJeCwv3IBYokk3llaepK3pI5glS499bD2c/lma4TuqbVN498/X0wnsoVZuICA8BDdTVRZu3AdLAjWyYxJnNTSK1inHCteYstmJTQblbKp3PJTVsVBWi40H+/Eggx48tcgkMlbwx5atrwAAIABJREFUA9eIq9sZjsx1Gy56MLS7LbkXB2YFQKb+hyDKzKQomDXywikVvKxBwK/RrH7V25pVhKO6FQH0v91qObZyu4IAPHToEJAjqWfOnBGILzHpxRYO50ajIQCJdCQqj0TnkSsuLg4eeeQRgaQjpN38+fOFwh7BdtnZ2bIKkUIp1113HZSUlAi///73v4epU6dCy5YtoaysDJ5++mk4cuQIkIIspPjImDFjmAODGxBzSDUH1HKWzB6RCgqgFjEV37UFvH7vEE1ZvdZAcHqyA/UKRASPjLa7vInX1PWUPkoVrYmSGcnRMG1YVJ2+TjoYuMaUlx2xS0Z+Rd39R+69bIcjNkOl5SFK2G1RMmoftQi+xM4FMxLho4Pfwtx1lYZzc7oNF9434NlryyGv/LCsmDmpsXB7fBfeVXCtfH5fy5gj17VLFwVnhAD634yAdPkw3BKA33//Pfz1r38FEq1G8t4Fr4qKiroKueRv//rXvyAvLw+aN28Oubm5rjUHLQF47tw5gawjuChdpMgHqTpMCDyl69ixY5CcnAwffvihbJNLLrlEiAwkc1lx4QZkBarqY9oVAZi7pQayCvfJCpOd0hvSErrar7zDMyoVRcHjTg4bhmL6u18rhU0KVYCTotvA8rsShFHUHCvyu9V5AZEAlDem0jHRAs6O32cV7oXcLZ9LlGD1YYZiqQtNnCSxaWUUt5NLayH+/cWJcTBjzS6B/Ate5Mj+towkXRHvbsPFCJZ29VGLqsYiIBesYFUkuZ+jWfEetusOx3l4RgD9b56tY59sXBKA1dXVQtQZqWBLil8EL1LMIpQAJNVpo6KigBBjH3zwASQmJtqHHsOZaAnA4JRFRUUCyUcIPELmtWnTBq699lqhQjBtxB45SkxIU1Lgg+QE/OGHH6BDhw6QlJQEM2fOFI4bW3XhBmQVsurj2pEDsLj6KExaViYriF+P92TmfwSrSg9KMOExEsmZlcnvrPMK9sCy4v2yAqYldILslL7Cb0qO1dSh3eDVkv2Go49okfGzY6eGkRIu4WFhkJUS62jexqDcwhHl7ADU/va6I/wU3iAMtjFMzUC7lqwiH2jn19uORPWMW1wsOVZK8Jt3a29Iz6uUDEnuy8yxvXRN5TZcdClnY2OlCMC4Ts0h/353vsOzhM9KosrKCECe7w8r9WZpe6+PxfMa8Tr2Qf3Q//aLpdX15I4A/Omnn6Bv377w6aefwmWXXQYkRx3Jazdu3Dihmm0oAUjUGzVqFAQCAfjzn/8MCxYsQMu6AAHcgJwzUvABbFUV4IUbq2BJoFpWwcmJXeDRcbHOKe/AzFo5j3jLReYARFxPqXakXRzBKedgkEgjCAuzJfecG/Lc2WVosZNB5hycs6leBFhQDl7uPTXyWC9JZRZjNzpoSvgNvaoNbK0+JiFWnSRXzdrHC/1Xl+6HjPw9ElX8ekJADIQdRJUVBKN4TPJhM31MDEwd1oOb5YofyJw3hRXrznmt3CcB+t/us5kVEnNHAC5evBhmzZolkH9btmyB/v37C3qT46xKBOCiRYsE8m/IkCFCH7z4RwA3IP5tZFTC/7dsO2ypPi7bPblPe3hx4gCjQ7uyn1buRaKU3cf8XAmkg0LPXrsL8soP1ZMgNS4SFo6/8HwKXqEvuHcN6WrbsU435Lmzw4RyTgaZV5wDUCwHD/eeUnqGjOQYmGajE+1WB03pmHdYg/rke+j648H2dtwTvM2hFFU9JbErzB1n3ckT3nCQk8cuoool0c/L/qVmXzuIVTesL6dkRPydQl46L/rf/NjCSUm4IwBJcYri4mKh2MW8efPqsFEjAEn038iRI6Fdu3ZCsRC8+EcANyD+bWRUQqWv+4ITHlI0wegcbuqnlaielygkN2HqhKwkEjDvv18ChAGkXtMRekU0lxVD7FgdO/0TJC8ulrRjnftRKfpQb54zJ3A1O6dWtF/w/iK2GLekuF4hHp7uvdzNNZBVVD93qp3yud1BoyXfg+vNTmzNrnGv9b9v5Q5YX/mNRK0xse3hpUn++kAYCoIb70O1NAvbMkboyrVp5Vone0RmfoUQEUyi87M4KwRlpe5Oj20Xse20nm6YH/1vN1jJehm5IwDbtm0LJ06cgPfee084+hu81AjAXbt2wTXXXAOkcMWPP/5oPWo4g2kEcAMyDSG3A6hFvPk1wbecc08MSHJUZd3KRx4ybhcUB4IZjZaw62inX1+uaUkfEun1xfEzXFcCdtqGTs5v9P6SI0+CxXbeKD8kIVTF5N883Hcd21mnr9wBRTIEYHJse3jR5wQgMYrbInHlClAFFxdPUbYCAbiuUkjJge9e9t7+biS27UXIvtnQ/7YPa55n4o4AbNKkCfzyyy+wc+dO6NevHxUBuH37dhg8eLBwbJhUD8aLfwRwA+LfRkYlVHoZtPs4m1H5rei3puyAbCJ6P0ZEWoGvlWOaccaUijuQHEnbdVYhVdPRjy/XtDkXSaTHvJRYmLtuT71cjEYqwVq5zpy2odXzK5F8Zu4vJXsoRV3PSIqCgd1bQ1S7ZtxEJVm5pngd+5UPPoWc9Z9IxEsf0xPuue4qXsW2rDKvnMKsSHG7wHQ6gllLT1b7m9vsooWLnb+z2uvRBuashv63Ofy80ps7AjAyMlI4xrt+/XqhuEfwUosAJJVsSfXb7t27A6kgjBf/COAGxL+NjEooRwCSWgilmUm+dboWbayCxTKFUfxaFdno2rK7n2xusTCAghmJikeAQ2XMKtwrmwfQSBVSNf1ZvVzbjbHR+WiqLhOilVznQqrrBufkKTqFyOS0Da2KkFHSi5VTHrqGnIxmNLKe/ebQKlUBTo3rAAvHxxmB0PI+Tt+blivIYIKlm2tg/voqqD1/HsgRe56ibFnsCbgGzC8Ss3sd2sC8DdD/No+hF0bgjgAcO3YsbNiwAR566CGYP38+FQE4aNAgKCsrgwkTJsCqVau8YBfP64AbkHMmNvsA1pKcxYuW1hxu+12pkizrXHBuw4V3edVyG2Wl0B3dVoqIJUeQtqWzzY9k9b3Nk73UyCMi5479J+DBNbvqRf2J5ec1B5yTNhQKyeRVwDlSeA0AslP7wIT4zqbMrmYnclw3LbdUMr5ZYlYpApDHKHQ/OrRPF+yB5cX7JXafnNgVHuWwCIhVRLWpG4vTzk7uX2qQmLWh2f6cmstVYqEN2JgL/W82OLp9FO4IwOXLl8PUqVPhiiuugN27d0OXLl0EjJUiAJ988kkg/yMVgvPz8+Hmm292u018IT9uQM6Y2Q5n46m3KmBFyRcSBe8e0hkeu6mPM4pzMGtoJVm5KrIciIkiiBBQIhJIEzkCScn5UYoCNEt0+N1YavuZWi5S3qJTeLCjHFHN4qi62gchchR3cM4m+FUUosmKmOX9SCKxuV8d2rGLN8Oer6Tpesb0bgcv/b9rebgd6sngxY+avBJ1VhrfzPuvF9eAlVhbMTbagA2q6H+zwdHto3BHANbW1kLfvn1h37590KlTJ3jhhRcgOTkZwsPDBZKvsrISoqOjoaSkBBYsWABFRUWCDa699loguQDxcgcCuAHZbye7nI2B2e/C19/9JFHwyisaw/aMG+xXnKMZCz46BPk7D0HKNZEwrm8kR5KhKEoIKBVwIe0zx8bALf0jhaPtas4FufcG5WyqF43Giujwu+XkHFnyN7kIQHIiODs1FpKubu/bdARK66Wo4jBMX1Uu+fnFiXGQ3KeD4WWm9dwx45SrCeUGZ9ENMho2vEJHsh7iswKyvyZ0awlr7xnMekrT42mtYdMT2DyAVfeczWoYms4o8em1NWAIPIc7WfWRymG1bJ8e/W/bIedyQu4IQIJSTU0NDBkyBI4cOSKQfk2bNoUffvhB+P/dunWDb775Bs6cOSMAev78eejQoQNs27ZNIAzxcgcCuAHZbyclZ8Osgxeqyb3//BA27DkiUXB073bwModf9+2yBEYA2oU023nUIsnITITIe2R0NMzfUKUayUTrdBl1UNhq7d7RxDjL5QAkf0sfEwNTh/Vwr5IWSK5EALLIy6a19q1Y825w2N0Qpch6qantpzwXAdFawyxxsuJ+CMrnhvuCJZYsx7JzDbCU2ytjIQHIxpLof7PB0e2jcEkAElBJIRByFLiwsFAVY1Io5NVXX4WIiAi328JX8uMGZL+5lY4zklxkWbfS5TOjkdqqSBKauXltgzkAebWMtlxyL52hvQipJFdoIvSIr5ZjZ8bBIGuspPoYDIlqQ12gRFt7d7WQ2+NILjuQsQ+P+eCcRFst0pUFVlpr3wrdzdxPVsgjHtNNeQpZYkH0TsgKgFxdHhJRPXUov8S8HWvY6jXrx6hT1uuX5C7FSuIsUaUbC9cuHU5ardD/1kLIH79zSwAG4d+zZw+88cYbsGPHDiEikBwRbt26NcTFxcEtt9wCAwYM8IelPKYlbkDOGFSo8phfAbUhb98sjyOuLt0PGfl7JApmp/SGtISuziju8KxYBdhhA5icXo0cCQ4dHhYmVD8MXnrvKTORGRhdegF1rWhN8TIg9tqWwbYIi8ll5lh3tVyXRCg3YhUka1o0bQT7j/0gYDugaytujn772ZmdV7AHlskUAVk5JR4So9o6dh84PbGZZwCt7HbMQSsLtvMfAmZIdFy7bNYL+t9scHT7KNwTgG4HGOWXRwA3IOdWhlKEHquCBJNfK4PAvqMSBZNi2sLyO+OdU9zBmdeUHYD0vEqJBDmpsXB7/IVCR3jxiwB58Xxw9U4o/fykrJCE7Ht4dDQsuHgM2EiRCaOEAEaX/mYSOQeB5P2TizYivVjtefyuXDrJaIhTN2GldAzcyH1Jh6D+Vn52ZvGUgPx6MfoM0Lv6rI4y1CsPtvcHAizWHYsx/IG2spbof/t9BVzQHwlAXAeOIIAbkCOwC5Na7Xhk5O2G1WVfShR8Pq2/bwtfKCU+L8tM4iYixbkVyffMSlGzQanFpIITX7dzt9RAVuE+CYi8H6ezyupiByE87AL5J3c8m8zP4mgrSz3MrB8zcmhFALKoBmxGPj19tXTRG5mrZ269bf3qzOIHMfmVYvW7mXhWp/YavfcItvcGAizXNq5dc2sC/W9z+HmltysJwOPHj0ODBg2gZcuWXrGD7/TADchZkwukxrpKoSopyxyASs5XZIsmUDInyVmlHZwdkxc7CL6JqbXIhJlJUTBxYBdqElfrxdUIIYARgFIDB3E+deZn2cq2YvJ2azofx4CN2N7E0pZ0Fc8f+qNZAlBr3bPUw+loRr266m1Pg5UVY9LMS9sGCUBlpJzeB2htiO0QAT0I2BXdqkcmv7ZF/9uvlq+vt2sIQFL599FHH4W8vDw4efLCMawrrrhCyAP41FNPQefOndGiLkIANyBnjSWOaiJRMlkpfWBCvPl7SOkhP/SqNvDPyQnOKu3g7Pjy4yD4JqbWIhP0VNCmdeyMOO+YA1DeyATLQdkBSc5TcWsejrayjI4wsdyF6PA3dh2SjSg1ihPtujcjt7ivFmlP2loV+Wm3rnKY8SCDli1nry2HvPLDkmaYEuMCJEaeAVqY4++IgJMI8PKMcxIDXuZG/5sXSzgrh6MEIKn0e8011wgIEHLvvvvuk0Xjs88+g2HDhsFXX30F50VJ1knjsLAwaNGiBQQCAejfv7+zaOLs1AjgBkQNFfOGJGLopiUlpgoWKAklRLplBeCcTIOimYlYnVR0FpGno2jMF5lHBlQjE/RERdnx8kvu67crv4YrmzeBpKvbU0clesRUimpkFe6F3C2fy/7Oyz3I0wcClmuV5Vg06zRInFQe+rYuH6dcDkgr7G63rnJ48CCDlp2IjPFZAdlmM5J6wOyRMVpD4O+IgK0IICHLBm78UMkGR7OjoP9tFkFv9HeUAFy7di3cfvvtcMkll8ChQ4eE6r5yV3x8vFAFOHh16tQJOnToAHv37oXvv/9e+HN0dDRUVFRAw4YNvWEZj2uBG5AzBibRARn5FbI5sYxGeIRqMv7lrVC6X1osIS2hI2Sn9HNGcQ5mdUNkBgcwcSeC3NFIvcfm7SB4cH3JLx0hCjBnk5DuIPRKjYuEheOd/3DIG3HDai3Zse6DNg2V+ZHR0dA7sjkoHQNn9bwLzm+nrkqbJA8yaG3galHVfi4UpoUb/u4MAqz2Qmek52dW3p5x/CBjvyTof9uPOY8zOkoAkoi/V155BW688UZYv369LD4FBQVw8803C5F+JOff6tWrYdSoUULbs2fPwgMPPACvvvqq8Dv5bfz48TzijDKFIIAbkP1LQi2aiWVExORXSyFQdUyiYFJ0G1h+l3+PARNAiquPwvqKr2BMnwhIjGpr/yLAGQ0hEIwAaNG0EZw68wtEtWumK8LO6pdfq8c3BBonnQg2i9/9BFaVHpRIRIjcbZgDUNZSLKJe7FqXalHtb5Qfgqyi+kVyWD7vguDZpavabcWDDFq3vVoE4JAeLWHV1MFaQ+DviIAtCLjhfrIFCAaTuOHjBAM1XTEE+t+uMJPlQjpKAA4ePBhKS0vh2WefhdmzZ8sqSyIESaQgIfhWrFgBd9xxR7125EgwOfpbWVkpkH+EBMSLfwRwA7LfRkoP4PCwMMhKiWWSA5Bo9XTBHlhevF+i4OTErvDouN72K87JjHj8gRNDOCSGlZEE+HItb1S1whbBHqwjwcwsLxakm5n5xWRW9ZHTuoluubmXbq6B+eurhJQT4orZLOQkY6hFtZMcnTPW7IJfQ6I/MQcgK/SNjTM4+104/N1Pks6xHS6HghnDjA2KvRABCgT07LH4XKUAlLIJkqmUQNnQDP1vG0B2wRSOEoA9evSA/fv3wzvvvANJSfIVQiMiIoAUACF5/sh/GzVqJIF18eLFMGvWLLj66qthz549LoAdRcQNyP41IPcAJnnMCmawzc23aGMVLA5USxQkFVNnjYy2X3EOZsRKrRwYgQMR9DgfesTFl2spWmoRz8HWevI46rGHm9uyJKrFYxGs08fEwNRhPZjBoxXV/vStvSE9r1Iyn5VFqay6x/WAxoMMavLet3IHrK/8RtJkTGx7eGnSAD2qYltEgBoBvXsbPlepoaVqqBd/qkGxkW4E0P/WDZknOzhKAF5++eVw5swZ2LlzJ/TrJ80NRop/REVFCdF/48aNgzfeeEPWCJs3b4bhw4dD8+bN6yoEe9JaHlIKNyBnjGnHA/iptypgRckXEgXvHtIZHrupjzOKOzxr7pYa2cqayX2uhBcn/s5h6XB6LyBgx73tJpy0KjgTXZAArG9Rlg4vy7GU1p1aVPst/TtAfvkhkGZ+vDCan4tSOX0fL91cDdlFVRIxMpKjYdqwKKfFw/k9iIDR/Qifq2wXA+8fJ9hqy+do6H/zaRe7pXKUALz00kvh559/hu3bt8O1114r0X3NmjUwceJEgQB8/PHH4bHHHpPF56OPPhKOAZMCIGQ8vPhHADcg52xk9QP4+mffg8+Pn5Eo2K11U3jvL9c7p7iDMytFADpNQFi9FhyE3JdToz1/M7vSPRe6MHg6Auz0oi2qOAzTV5VLxDCCkR3H55Si2v8xOR7uWF4GtUrsHwD4OSLd6XU2e2055JUfloiRkxoLt8d3cVo8nN+DCJjZj/C56sEF4WOV0P/2sfFFqjtKAJJqvocPH4Z//OMfAtEXes2YMQOef/55gQB86623IDk5WdZqJSUlMHToUGjWrBl89913aFkXIIAbkAuMZFDEW5/fDLu+vFCdW3z173g5rHvAn/l91BKfTx3aDTLH9jKItvFu+GVbP3boCOjHzKkeNBGAYQBQmpmkq6CLU/pYPS/ZDzLzKySkmdGCGUYjbvTqKbePdW7dFNJyS1WHsiraDPcIdQuqPQutsoneNYXtvYeAXfuR95BDjbyGAPrfXrOoMX0cJQDJsV5S/feWW26BvLy8ehqQ4h7du3eHAwcOQHh4OBw7dkw44it3kcIfkyZNApJT8NNPPzWGBPayFQHcgGyF29bJErLfgW+++0UyZ/srGkFpxoUK3n671MgIJyqR4suw/hWIhKl+zJzsQdb4wOwAhNR/qCcSEoAX4FDKpUf2pqxbjReIsuueCSXdyL8HZQdUIwCtiDazS18n7yuzc6s9CzEq0yy62F8NAbw/nV8f+IHEeRug/+28DXiQwFECMDc3F+655x4hwu/VV1+F//mf/6nDZMGCBTBnzhzht5EjR8KGDRsU8XrwwQfhhRdeECIECwoKeMAVZdBAADcg7y6RUQvfh0+O/CBRsGe7y+Cd2cO9q7iKZlpkhJEjdmaANHMcxsy8bu2LhKn7LKd1zwU1IpVik/t04EZBJxwkpf2ABTZW6EMzplp1YGLs1LgOsHB8HDO7+22PoLGBHLjCfZkVgHMyP2JeRmbLEQdSQMDoukVAzSOABKx5DFmMgP43CxTdP4ajBCApANK7d2/44osLBQMGDBggFP34+OOPYffu3UCiAAkBSKIER42SjxwibTp37iwcJX7yySdh7ty57reKDzTADcg5I1v9AnTfyg9hfeURiYJjYtvBS5OkuT6dQ8K+mdXICKNH7MxI7zdn1QxWpC8SpmYRtL8/zRFgIpUVkWBGtXXKQcrdXANZRfvqie3EvkSDmx6MyD63dHMNLNuyXzI06/yrftgjgu8OlYe+hQUbquDXc+eBrJN5OqNEZ6/dBXnlh+rZJDUuEhaO70+zBDzfxup3NM8DaKGCaBtj4OI7pzHcrOiF/rcVqLpvTEcJQAJXWVmZQO6R3H2E7AtehNgj1+TJk4FECipdhYWFcNNNNwl9SS7AgQMHus8KPpQYNyBnjK7HeTIq4R9f3gpl+09KuqfFd4TsVGm1b6PzuKmfGhnhVCVgO9aCm2ykJiu+vLrPkrRFQFhEubFAx6k1pnT8d0ZSFMweGc1CNWZjGMGouPooTFpWJisDy8hrI7IxA8aGgZRyRJKp9ZDFcjg1AIDtmItTsCI+l21YzAanQNsYBA4/ohoHzoKe6H9bAKoLh3ScACSY1dTUQEZGBhAyj0QFkqtLly5AjvbOmjWrHjEYijEh/AiJGBERAYcO1f+i6EJ7+EZk3IDsN7Xci3d4GMC2DHZJ8Mkc8VkBWeVS4iJg0fhr7FecgxkJLglZAZArSsk6EkWPuvg1mx4tnl/+g3Zs0bQRnDrzC0S1a+b7whY0EYDkm2Mpw/2PfjVJWzoVQaY0b3hYGGSlGM//ZwYLpb56MSL3bHpehW37Ls97hBl70BynpyVT9drQjNxu6+t1Etlt9hDLi7YxZz3Ezxx+LHuj/80STfeOxQUBGITv3LlzcPToUbjkkkugZcuWVKj+8MOFXGMNGzaExo0bU/XBRs4jgBuQ/TZQevFmWYVWzemOad8MNsy6zn7FOZlx8mtlENh3VFYaWueJE1V8KwaPhKmYdAgaxmzxBi8YWCmyTazb0KvawD8nJ3ChrlMOkhpOeiK77ABRD0Za9medAzCoP497hFnbFFUchumryhWH0bNOlOySkRwD04b1MCuqq/sjOcqv+dA25m3j1Q8k5pGxdwT0v+3Fm9fZuCIAeQUJ5WKPAG5A7DHVGpG8eMtVRmRZhVbt2N3g7i1h9bTBWmJ69veCjw7BA6t3SfQjiQ8KZyZCrwj5KueeBQQVM42AGsnhZGSpacUYDSBHjoqH5g0jpxwktYIZvH2coMVIKwI0vmtLeP1e/z6P9NxiTxdUwvLiA7JdjHxscFPOST04mW2rh+A2Oxf214cA2kYfXkqtvfiBhA0y9o2C/rd9WPM8ExKAPFvHw7LhBuSMcbMK90Luls8lk7Ny8tQiBfweAZi7pQayCusn2g8awkgidWdWEM7KEwJaJAcv+e2cxCzocPx7x0HILz8sEYU3jJxykMjHm5uWlEDtxfzLBCg9kV122pgGI60IQCJvGead0zQbIVzn5FUotpuS2BXmjuutOY64AUZTKcNFS3DrAhwbM0EAbcMERhzEYQTQ/3bYAJxMjwQgJ4bwmxi4ATljcSEKMGcT1J77LRsdSydvTdkBSM+rlFXu9viOkOPTIiAEkNWl+yEjf4+i4VnawZnVhbPajYAWycEbuWU3PsH5CE6rth+AxYFq7glApzAi8+pxcGlIOCd1CeqjRl6x+vDltJ6h87Oyjdb+QubNSI6GacOidEGA0VTqcLGyny6jYGMqBNA2VDBhI44RQP+bY+PYKBoSgDaCjVP9hgBuQM6tBj1Onl4pM/J2w+qyL2W7+Z2MyMz/CFaVHlSF1KsOqd51xGt7oy//RvvR4KBUnZO34600urBuQ3DP3fwZrCjZX++jR3AexOg3xINrlKaQDMtniNX3hhIByFMBGJbrXtgP1lUK693I8VyxLFoRxqRtTmos3B7fRbcKLNeQ7smxAyKACCACPkUA/W+fGj5EbSQAcR04ggBuQI7AXjepVU7XDX99D6qPXajkHXr5/bhVcfVRmLSsTNHwGAHo7D2hNbuYaCPVs7NS+sCE+M5a3XRFVWkOptAgSHQtL/4cSHCvHvmMzsl7PyViVCx3alwkLBzfn3dVLJdPz9pmGb1lJQmkFb0Wc2Uz2PAnbxWlIjoPzA4Ie0DwMkNyK+UNFi/IGUk9YPbIGENr1Kr3EEPCYCdEABFABHyAAPrfPjAyhYpIAFKAhE3YI4AbEHtM9Y5IXr537D8hdBvQtRW0u7yJ3iEk7f/4cgmU7T8l+XvX1pfC+38ZYXp8Nw8gl/g8qA/mAOTbskYda5ZkCQ1C6FBfQEmL/Ali6dUoMJq1Emyjd22zyt/G8t6QW/da0WvX92wNr949UA9U3LdVysFrJvp+/MvboPTie4IcAB2aN4at6Tdwjw0KiAggAu5DAN9p2NsM/W/2mLpxRCQA3Wg1D8iMG5CzRgyt+kiiBLIpI5rUJFciAOO7toDX7x3irNIOzi7nZAfFyRwbA7f0j2RCwDqooqenNupYsyJLPA2uBcppkT/iKc2QIxaIbvuQetc2K+LO6L0R6hAqRRGqfXAhIHe4oglszUiyHW/85RiOAAAgAElEQVQrJ9RrSy1ZhOdWVgDOaTT0e3S/Fo74OyKACOhHwMoIcf3SeKcH+t/esaUZTZAANIMe9jWMAG5AhqEz3VHpWA/JF7QtfYQpIirlhS1QfvA7iYxxna6A/PuHmpbdrQMoObvhYWGwLcMc5m7FxE1yG3WsWZElbsKKB1nVCPdQ+SYndoVHdVYx5UFHVjIYWdssHDMj90bovI+Mjob5G6rg15CiVm8+OARufq6k3t9D8RoR3QZW3JXACkZT47CKctEbzaklNC2RjrlrtZDE3xEBREAPAkaeD3rG93Nb9L/9bP3fdEcCENeBIwjgBuQI7MKkai/1Zl/kJy3bDsXVxyXKJUa1hpVTvHXcSo8FlY4kZiTHwLRhPfQMhW0dQIDYLyErAKLUWhAGAKWZSZqEOQuyxAGVXT0lwTw9r6KevZQUGhrVGv7p873JSN64vV99CyXVx2BIVBvoFdHc0HrRc2/I7aENAGSj00hUdVbhPlWZZiRFweyR0YbkZtlJDwY08+rJ56g1HsE8Piug1QwwAlATImyACCACOhAwGiGuYwrfNkX/27emr6c4EoC4DhxBADcgR2AXJrUyAnDhxn2wJFAjUc5MonDnkGI7s9jRI0eu08fEwFQk/9iCbNFoZiNrWEX4WKSep4alzf8XVDo7pTekJXT1FAZ6ldFbOZYVaUWThzZ475w68zNMX1UuUY3kcTwvYuZJAZx5KbEwd90e2crPwQFYRLzrxTm0vVVRLqz2G63CVUSfIT1awaqpg8xCgf0RAUQAEahDwKq9ESEGQP8bVwFBAAlAXAeOIIAbkCOw101qVQ7ANWUHID2vUqJcTmos3B7fxVmlOZidxuHlQEwUIQQB/BrtniVBe2wxqJHZqGf3IKMuKS1pxMoxoyERxdFsJNqP8HziKFw5jUhkLmkT/K+a1k7bnvd9ZfbacsgrP6y6cFLjOsDC8XG6bwPa9aZ7YOyACCACnkBA6RmBe4c586L/bQ4/r/RGAtArlnSZHrgBOW8wK8iohRurYEmgWqIcL8etnEadxul1WkacX4qAHOlBIo2eS4tjVkEbcWeDgJ78f2TGopmJho+wspHYXaOwIK1oSES9dtSLIg8VoGlw0KsXy/ZLN1dDdlGV6pBGovvxOcjSSjiWHgSQPNKDlvNtQ+2Fe4d5m6D/bR5DL4yABKAXrOhCHXADcqHRKET+40slUHbglKRlfJcW8Pp9/q0CTADh3dmjMK+vm4hfPEl0EQkxIkcPGzYIg3m3xsKE+M6+xocX5eXyNarJlpEcDdOGRfEiPvdysNjHaEhEpeIkJH2CqOaHYbx4Kf7Cs0P71FsVsKLkC6YEIIv1Y9jo2NHXCPB8r/naMJTK495BCZRGM/S/2eDo9lGQAHS7BV0qP25ALjWchtijF30A+745LWkV074ZbJh1nTeVptSKxumlHAqbOYQAeQFd/O4nsKr0YD0JCAm41WQFbYdU8ty0SsSRkqLJfdrDixMHeA4HKxXScqS1ostpHDklO05M6ARrP/xSqPBLonDJcV8jhKDTx3/F9uE1Kul3T78Dx3/4RXUp6T0CjM9BK+9MHFsJAZo9B9GzHgEzex3uHWzsg/43GxzdPgoSgG63oEvlxw3IpYbTEPu+lR/C+sojklZjYtvBS5Ou9abSlFrJvYCSaJaCGXgEkRJCx5upHUukJRTMvAA7DoALBNBLAGIEoDGjKq1j2vyyNCRiaHViEnlbODMR2jRrDNVHTkNUu2aw6eMjMHddpUAIkv2UROVq5QkkGuPRb227939iA5z6sVa14cop8ZAY1VZ7sIstnCRicO+lNpPnGiJ55LxJtfZ8LQmd3Du0ZHPT7+h/u8la1smKBKB12OLIKgjgBsTH8mD9QoxVgNXtKn4BCrbEI6R83As0Uig5EeFhYbAtYwS0u7yJ6jBmX4BpZPR7G72548oykzTt5ndMafUn2A/KDkBtCANHiLntGVKctZ4/4urEavuleBzS7sk390BhxdeqYr84MQ6S+3SgVc2X7brOKVTVu8WlDWHX4zfqxsaJfdCJOXUDgx0sQwDJI8ugpRqYFf54H1PBrdoI/W/zGHphBCQAvWBFF+qAG5DzRrPiQZqRvxtWl34pUS4toSNkp/RzXmkOJNj71bdw05ISqCWhKhcvPELKgWEoRJCzHemWkRwD04b1UB2B1QswhZi+b7JoYxUslilGFArMJQ3D4JN5yb7HixUAahWYpw7tBplje+meysh+SfokLy5WnctI8QrdwjvUQYtYpRGr4KND8MDqXapNzeRRZCEjjR6kDe69tEh5u524qjhJH5CV0gdz99pkcpYRmHbuHTbBY+s06H/bCje3kyEByK1pvC0YbkDO2teqF+L7Vu6A9ZXfSJQbE9seXpqEebYI7m/sOgRZhfskGNEeIXV25fh3drHzEESBRDalj4mBW+Ii644kKkUBsnwB9q8VlDUXOwVK91ho72aXNIDKp8YgnBdJkuCxWgJI8P9rRbWKwVOKACRtwhuEwTaFPJlqDp2e+yY4zqkzP8P0VeWqdtWbu84ti4TVh72UF4qh/OC3qmq75cOVnjXkFjujnPoREEcUk/0oC4t36QfRYA+WPgcSgAaNcLEb+t/m8PNKbyQAvWJJl+mBG5CzBrPqhXjyq6UQqDomUS4pug0svyvBWaUdnl3u+G9QJLc4Ug5D6Nj0csdKg/nIPjr4bV0OMrXj3HJjKB2NdExRl04cSnpcd1UbCFQd1dSmScMw2IcRgCDGj6xJcpHCGkbSE5Cx0vMqZPPwyX3k0CKsaB1H8Tgkuif0GHLoYng+rT+M6xupuUbc1IAWKxqd+j6+Ab77ST3/HxnHDR+uWOJCgx224Q8BXAPO20Rrr6eRkMUYNPN4uQ363162Lr1uSADSY4UtGSKAGxBDMA0MVVx9FP5neVm96oksSKi0pVth62cnJRIN7t4SVk8bbEBSb3SRe/kUk3/z8Es0t4Ymtlu1/YDskVJSQGLBhk+EAgTBi5APz6XFwYCurerllkMC0BoTq91bNDPylgPQ7ugGLfyMPBfIEdxxS4rrPV/IfbEtJA8grVOu5fRp6SC3DmiO7dOsH57asPqwR3OEmuhtZG04hZfWGnJKLpzXHgRY3Rtiae3eq+1BytpZzGBG+7ywVgP3j47+t/ttyEIDJABZoIhj6EYANyDdkDHrMHvtLsgrP1RvPCORHnICDZi3EY6d/lnyU5tml8COuSOZ6eC2gZRePsf2uRIev7k3FiHg1KByRQjEopJgKaWKo6H3lBUOCKew2SqWWt45GkF4KgbhBElBg59SlJeaM0dTDVjPPWHkmLCa/eM6NYf8+xNplohr2rBykCct2w7F1cc19X4m1V051MyQD5pgYAOuEWB1bwSVdGKv5hpgG4TT87ywQRzXToH+t2tNx1RwJACZwomD0SKAGxAtUmzbKX3ZXzklHhKj2pqeLC13G2ytOSEZZ3CPVrB66iDT47t1AKXcWIRAemGiNFrMrXp6SW65iD29+okjZFg7IHpl8Wp7I9FfYix4IQCdWh80+BXNTIReEc3rLSEtB1jY83I2Qa0oOjY0YsxIgQ+5dUyjQ2g/rx6/17KL1j5AsIzPCmg1g9vjO0JOKhb20gSK8wZ+IkXN3htBUzq1V3O+lCwXT8l/kXs+WS6MiydA/9vFxmMoOhKADMHEoegRwA2IHiuWLXO31MgWoMgcGwNTh6pXMaWRY/JrpRDYJ5MDMKYNLL/T3zkAswr3Qu6Wz2VhZBWBSWMjbEOHQFHFYc1CAsGRwsPC6lV1Fs8gjp5i5YDQaeCfVnJRzTTaEwK+NDOJiwhcJ6Mb5ArcKK1h8ncaB1hLH7noWjP74NLNNTB/fZXifSi3HnjJX8eahDEzHk1EKMESnW6aHYbvNn58Hpm5N4LW1Nrb+La6e6VD3NnYDv1vNji6fRQkAN1uQZfKjxuQM4az+gva3Su2w6ZPpEeHRvRsDSvuHuiM0pzMqhVR5qZ8SpxAaqkYtAQgyW02LyVWkGXuuj2qEU9B8sRIhVVLlXXx4Eaiv4LqdmrRGLbMuYEL7WlINSsFVVrvhNzeljGiHklK44ip6UP0GJgdqJcjMFhUJzTSkEZntQJLav15yP/IGwlDm/+PF/KUZn1gGykCTu83brYJYueM9RB3Nrij/80GR7ePggSg2y3oUvlxA3LGcMTZmJNXUW/y1LhIWDi+PxOBlHIHJUa1hpVT/E0AEoDVogDJ7+hUMVmGTAbRImzJJIS0CAv7rWLqzf06wJu7DwtFQcxEMzFRwCeD0EYsycFxRZNw+OiJ0dwg5SQZpET8zEiKgtkjo+thRHO8l3RQ0keJbDRyHNsoAdy22SXwocN5aXl0aGk/fGAEIDfbhiFBaEh8QwP7pJOTe7VPIJZVE3E3b330v81j6IURkAD0ghVdqANuQPYbTYnQYBkFcd/KD2F95RGJcmNi28FLk661X2nOZszdXANZRftkpfJqTirOTKBLHK2jkaGDEdLvzQeHwKkzv0BUu2ZcHC3VpbALG8uRKGrFWcQqXt+zNbzKWWQyiyNqRsyohxCgKfARlIEQiyXVx2BIVJu6PIIsCUCjBPCY2Pbw0qQBRqBi1kcP5swm1Rho4cZ9sCRQozkdfuDQhIjrBjySz3YAxnJ/DR2L5dh2YOHWORBnc5ZD/9scfl7pjQSgVyzpMj1wA7LfYCydLiXpM/J3w+rSLyU/pyV0hOwUfycM14pU8RoB6JWXNKLHjv0n4P5V5YoVf8ULnkRxEvLPiWO+XsFc7+4YGhXwu84toHT/Sc1hMpKjYdqwKM12fmhAW5BDbh8jx+C3ZUhzKSpFa8h9jDK6/2ntq0q2m5zYBR4dd+HoPstLzz1oJQkjR7zS6Dl28WbY89X3NE2FKOet6fWPh1N1xEZcIOC3aCor9bVybC4WCwrhGQTQ//aMKU0pggSgKfiws1EEcAMyipzxfnYQgP2e2ADf/lgrERIdbQCaSBWvHAH22ssw7bE44hBPv74HvLCpRihGYGeUjNcw17vTBYmXFk0bwdjFxVRk7cykKJgVcrxV77ys2+shkFjNLZdDT2nt0kataZFb4uhaQiBmpfSBCfGdDakUuvYbhgP8+Mt51bFS4zrAwvFxhuZT6mTkHjTSR0vo0KI4tGk+5FKEaM3llWeWlp5e/Z3lfsNyLNZ4a+1HZuazcmwzcmFfREAOAfS/cV0QBJAAxHXgCAK4AdkPO8uoCznpCz46BA+s3iWrWE5qLNwe38V+pTmaUStSxYloCite2L32MkwiaZ4PfApFld+orqbwBmFwY6/2UFT5db12dtjVa5jruW1D1zAN0R4cf+WUeEiMaqtnOkvbWkEGaQkst3ZINF7BjMS6I7viMWjXGg1RqGf/0WorJoCTFxdrqQ3Pp/WHcX0jNdvRNqDFRW48Ld1oZSDtjBb6IjLEZwX0TOW6CECWOOsCygeNje5ddtmEZj/Sa6ag7KfO/AzTV5VLuiM5rhdRbG8HAuh/24Ey/3MgAci/jTwpIW5AzphViLpYVylUKiWERdatsYajLkI1GLdkC1Qe/k5WMSPJ3Z1ByNpZxS/JxMkm17nzYGukWFBDoy/sWghZ8aKtNadVv4dG0sjNQ8w4ZWg3SLkmEsYtKa5X2TTY3mpHwEuY67Gl3BoecXU7GJQdgFr1ADBhGqvtokcXMwSSnnlC2xpZOzR7B40+tM4/zXxBvbQKLVl1TxrB0YzdlPrmbqmBrEJpntnMsTEwdWgPxSlnry2HvPLD1CLZGd1MLZRKQz1riMV8bh+D9t4ketLc63J42GkTozIq2VEsO4lgJo8b8i4XvOz48Of2NYbyO4MA+t/O4M7brEgA8mYRn8iDG5AzhmZ57CpUg8RnAvDlqR9lFWNZaMQZ5NjNKn6xJqM6lStucM4moVot6xdW1i/a7JDXN5JSJE3oKDOSesDA7m1AKQogPCwMtmVYmydLrriM0Zxq+lByrrXaOsvd/BnkbvlcUzie9iWnCCQlHLWK2cgRBKF/U3PwaZ1/PfsJaUtL/rK2vR45NRemiQZGIgD1RP+NiG4DU4b1cFWRI15sY8KstnalvTeDQhnZu5ywiV69lECXkz208BTtsXtbDYuTIQIAgP43LgOCABKAuA4cQQA3IPtht/qFa9ySD6Dy8GmJYh2aN4at6TfYrzDOqIiAkRd2PXCyetHWMyfrtkqRNKHzEKKN8KhyUQCkbUZyDEwbphx5Y1ZuJdLD6wSg2ho+d/48TFpWpgrtZZc0gD1PjTELP7P+Vu/PaoKGRrrGdWoBFYe+FT4QkHWUPiYGpl5cw0rEHyFdV5TsF6LLxdFhSu1pPkCQvm/sOiQb0UaiyoPXgK6thIrbtLk6k/u0hxcnsq8AzMO+RzBLyArUy4FJyInSTGmRFi0CR27NkHy+sZEtXEUAWv28Y7YJcDCQkX3ISB9am+iJRKSBj8V4NGkmMAKQxhrYxgkE0P92AnX+5kQCkD+b+EIi3IDsN7PSSwur47mvfPAp5Kz/RKJY+piecM91V9mvMM6oiICRF3a9cLJ40dY7J8v2tBGA4jkJWRIWFiaQIKHECUvZxGOpOSM8HXFlrb/cGiZzJPe5Eooq6udhlJu7e5tLYdNDI1iLZWq8pZtrYP76KlsLyCjhGKoIIbKvaNII5q6rFIjBIMlH2mXmV0iOXKs5wGrPohZNLxHIpU0fH6mbK1QWcm+R2OXzFwOYyb9v7R8pkIU0R79ZR/+J5XN636MlVsQyy0UQKy1kkjoklOQ1sujtxMmO550RDHjsY2T9ED30kt80NtE7pl140u6ZXn7+2oU1zsMeAfS/2WPqxhGRAHSj1TwgM25A9htRidBglQswI/8jWF16UKJYWkInyE7pa7/COKMqAry+XPNkNpocgKHyEkI9SGKQqCSrL7mIn+CcvBW5YI2FHuIidO7+Ha+AdQ8MZS2S4fHE9yOJ2JphU4VimmiWoFJB8qfu30TQi4S3nOJKDjBZswOzA/VyZpGhGlwkl5Siackc5DcScUuR4lHWFmnxnSA71bvPIxpiRQyMnuO/YYR4ZZDnzIlnD6s57SQuDW8mJjrqXT+ha0lPShM1m5iRw4T61F0xByA1VNiQMwTQ/+bMIA6JgwSgQ8D7fVrcgOxfAWqOHovjCpNfLYVA1TGJYknRbWD5XQn2K4wzaiLgdWdGEwCKBgs3VsGSQDVFywvFXLamW5vvT06Q+1f9Fwplot60Ev9TKcVxIz3kVagaSTFtYPmdfOxLShElVh8fJ5jQRrPoXQZq94IcAUgz/sSEThAb2RzS8yppmsu28fo9QZQO/XChlo+MtmiKEuB6o5ycJHbMPu9YkYiGF69NHe3UU8kmRiMRbYJImEYsuzhi2W0FcuzEDOdyHgH0v523AQ8SIAHIgxV8KANuQPYbXcvR0/siH6rBXSu2w3ufHJcodn3P1vDq3QPtV5jTGc06IazU4kUOVvpYMY7WPSOe08mX/uLqo7I577weAagW/ai1HnjCRsnZtaOADMGJNpIymO8yiC2JxpOLANSKKjdD3JqNACyamQi9IpprLQ/X/q5FsIn3faJkaL5AJcVbXhoOJ8/WSn7Wi6cbiB05DLRwde2CURCc6Ltj/wnh12COTTt1dCPe+E5l5wrBuYwigP63UeS81Q8JQG/Z0zXa4AbkjKmUjjSyiFy65ul34MQPv0gUa3VZI9j56ChnFOZsVju/rKupzoscnJlHIg4tUUGiim7pHykUItC6rHAS3OpUa2Gl9TstcRU6DilykX//EK3hbftdLSLO7IcZGiVo1jkh/+aMiYEFG6qEHICEiLs7sRu0vbyx5G9Th3VXvRdoIgDF+TRDdTCaAzDmymaw4U/X0UDi2jZqe8EXx8/Uy+H4uy4toPTzk1S6Jka1huJq6Qc+vSkP3EjsEID8tsfy8I7AgwxUNwc2QgRchAD63y4yloWiIgFoIbg4tDICuAHZvzqUopm0ojVoJY3OLISfpAEC0DgcoCprLO0wnm3Hi+PDixxuMDRtBGBoUQE5ko/8TalSqlks/GhTGhJJCVcri0AYteW8gj2wrHi/pLsdkYpK+WHFFa6zUvrAhPjOwrE38TomROCE+E4wJKpNvUghNaJbznbiHIDBaNoRV7ejrgJMjuBlrqsUClQoXTNtyqtodA2w6KcUDfx8Wn/40792C+StkUuuv5ik1RMB7UZix097LE+6WvHBzMj6xz6IgFcQQP/bK5Y0pwcSgObww94GEcANyCBwJrpZXQU4Kr0QfpXxLRqGAVTnIAHISwQBL3KYWMq2dqUpBEKitEjlUhIBKOfcEoH1VkrVq6QbnWq9Oorb00StKY1vR1SdXt0y8nfD6tIvJd3SEjpCdko/vcPpak9TlTcY3UrzIUlrLdLMRxQgBQVaNG0ENz9XIiGuxPkRaYl6vcdVdYHISeNJy7bLRurFtG8G+745bVhKcs+IIwjlCrXoOUngRmJHa10bBpezjviOwJlBUBxEgCEC6H8zBNPFQyEB6GLjuVl03IDst56ck0Re4rdlJFEdXdSSeMSzAfjs+I+SZt1bN4FNf0nS6u7535WibOx2Snn6us+70WmJBaIHcX4fGR0N8y8ekQzqppQnLfg7SzLKjU610TWgxzbiOUgl01JGe55R2eX6TV+5A4oqv5H8lBzbHl6cNIDlVJKx9OwJWsWk3nxwiISwCyWGtOZburkG5q+vgtrz54X7alSv9lBU+XU9uUn0WcGMC/n8aMhgtUIYloJr4+AE1/isgCUzBqNmg3vMqTM/w/RV5ZK5WO5nlihiclA/7LFa96dJCLE7IoAIOIgA+t8Ogs/R1EgAcmQMP4mCG5Az1g6NZiLHrnJSLxztMnvd8Lf3ofroD5JhotpeBu/+ebjZ4V3fv6jisKzDRHIoJffpYKt+folkMAsqDbEgniO0SILW/HoiZrTG8uPv4nVMq/+ImLaw4s542ua2tXO6kIsYS7KO08fEwNRhPajIQnEjkg8zq3CfLDFEomRJVB/57zNF+yCv/FBduyBBJ5fXUem+agAAk4d2g5RrImHckmKQO92aGtcBpgzr7unCH0EQ9e5XtIu7VdOGsPOxG+s1R5KIFj13tvPqO4IfCFx3rjiU2i4E0P+2C2m+50ECkG/7eFY63IDsNy158RmUHYDakGO6JAfgtvQRpqMAxy7+APZ8JT1i1DuiGRTO9HbidRpr8kQAEnnxRVjbakaizEjlVhK5pHWxyr2pNY/XfyeRtWOXFAMF5AIUUxK7wtxxvbmDhYcI4dDIu3m3xsp+HCLkgNKRdqUIwIdHR9crFkLIOvFdEozoUyLy1Mh1ci/dqBElyJ3BLRBIaQ2ZnSq2w+VQMGOYZBivkkRm8fJKf6+9I+B69crKRD3MIID+txn0vNMXCUDv2NJVmuAGZL+51KIDWBzbSXwmAF+ekh4B7tiiCRTPwSPASonvSzPZHMG2f0X5Y0a9UWbJfa6Ed/Z8I+QsUyItxva5Eh6/ubdp0t0fFlDXUolYV+o1ObErPMohATivcA8s2yItAjJlaFeYO9Z6wpI2oitICmz/7Dg8F6iuI/HIWs++WCgk1NGWOxovZx9SpGNxoFrWdCRaXY1WJ9G0dwzuAq+W7K8XCSiWy+v3i957gRaPGUk9YPbIGNnmRkkio/1oZcZ2iIAYAdr9DVFDBLyOAPrfXrcwnX5IANLhhK0YI4AbEGNAKYZTig5gFQH4x5e3Qtn+kxJJ4ru2hNfvHUwhofebEMd4Tl5FnaJ+ck7dbF3iPIxetBlOnPlFUw1CRLx297Xw8VffwdURV8CdKz6sV8CAZd5NTWF80CAz/yNYVXqQWtOkmLawnMMjwLPW7oT88q8keqTERcCi8ddQ62e0IU3ifzUyPHRdiwkecuw3LbdUU7SMZBIl+InhSrVKhDshD/3wocUqApB11WwhgvRixWaMhNa8LbABAwRo9jez0yCpbRZB7G8HAuh/24Ey/3MgAci/jTwpIW5A9ptV6QVo6tBukDm2l2mBXvngU8hZ/4lknPQxPeGe664yPb4XBpi+8r+SZPaYB84dlu33xAb49sdaKmGDx4CJbW/u1wHe3H1YIDXIv5WOVVINjI3qISBE1WYF4JwOXPp3vALWPTBURw97mvIeAUhzHF4pkpz2aKpwlLd3e3i78huqY/R6LJOTGgu3x3fR08V1ba0oAiKutswCELlIeELcbuewMA8Lfb0yhtvJLasjAPF4sVdWuvf1QP/b+zam0RAJQBqUsA1zBHADYg6p5oBWVwG+4a/vQ/UxaRGQxKjWsHLKQE35vN5AzQlmcQTb6/g5rd81T78DJ37QjgAMlZOQfiQv2qkzvwjFD9pd3sRpVTwzv5GiB51aNoEtj/CXkoCHHIBqTqwW1mofMrT62rEgyfHiWSOj7ZjK0Tm6zilkNn/MlZfBhj/VL+BllgjiLRcuM7A8PJBXyC3WegTvhRZNG0kqn4urlHt4aaBqLkQA/W8XGs0CkZEAtABUHFIbAdyAtDGyokVoFeBg5UWzc6lFHsR2aAYFM7AISO6WGtnqmBj9YHb12dP/3n9+CBv2HDE0GRK8hmDT7GQkAvDuIZ3hhl4R3JGxSnso6+OXaqASEvLtyq/hssbh0LFlUxjQtVUdYa0VAaj2LKGNANQ0uIkGRTMTfVEJuO8T6+G7H/XExCqDunJKPCRGta1rwIJAQQLQxCJ2oKvVkXN2q2SWwA7KG1o1Xa4COTkJkJUiX0jJbr1xPkQgiAD637gWCAJIAOI6cAQB3IDsh13uRY7VV8qlm6shu6hKVim1BOL2o+DcjMXVR2HSsjKJALwWJXAOKT5nnlewB5YVS4s0hEobWgXYriPehGQpqT4GQ6La+ILoCOKeu7kGsor2US+aYJ443nKPLdy4D5YEaiR62LV/hn4cIoKEHlnXkwNQrIjTEYAkB2BOah/ZisbUC8clDUc8uwk+O37WtLQtmzaC8nFpCSoAACAASURBVMdG1Y3DigjCI8DapmFFUmnPpN3Cjtx52lLw1ULrY4hYWrue/3whhNLwjAD63zxbxz7ZkAC0D2ucSYQAbkD2LwelFzkWXykn5W6D4poTskqFRhHYrzkfM1qdg5EPLb0rxZqyA5CeV6mqIHnZf3g0KWRQZWvOP6sie91gTb0EoFgnnqJv/9+y7bCl+rgE8qFRreGfFqdQUIvQC3VgifP7xq5DstHMcvlkSfvAx99o3jtWrzW/OOIpzxdD+ZffmoZzSmJXmCuqls2SCBKKgORXQO15AFI8Juti9WjTQntgABZRlixhYEX8spTJ6bGU7oUGALL5aPEEgNMWw/nFCKD/jeuBIIAEIK4DRxDADch+2NW+Wpp1juLnvQNHTsvnR8scGwNTh/awX2HOZrS6CjNn6npOHK0E++JoKTsjOHjIHeeUsQnOCVkBOG9CgBcnxkFynw4mRmDTdXXpfsjI3yMZLDulN6QldGUzicIoSukJgs1DHViC+6DsgEDgiK/QivJqEYNaCpGoPTN2lRvfiCNu572shQnN70rriKavuE3okWnWRJDbcNWLn5H2rDE2IoNcH95ISVZ60Y4jXqukz479J+DBNbugVnTulzz//z6hH8xYswvEx4HNvlvTyojtEAFaBND/pkXK2+2QAPS2fbnVDjcgZ0xDXuQy8ivqvaAoOXl6JOyRXihxBoP9/ZJ7SQsvtQgyI46p1nz4O3sEsgr3Qu6WzyUDE5L7lv6RjhT4UCJvkvtcCS9O/B17EDgaUSmfmB4ReSEAWUZY6dGftF20sQoWB6pluyk5sEr3QnAv03NMTjwxiQibEN8J1pQdlH1O6dUt2J5Eum/LGKHrHnUj8cHiuHVcp+aQf3+iBGo34mF0vTjRz8k9QEtfvxK2obn+CE6E4CPR48H/T/bIm/t1gDd3HxYi/4NXaAoFLYzxd0TADgTQ/7YDZf7nQAKQfxt5UkLcgJwxK3mZmZNXIZnc7FfK6PRC+EkmXIMcifjsmbHOKMvZrBNzt0GJwjFpJEk5M5aMOMQBWlf+pWyuS61j7lY6TwUfHYIHVu+SSMzT8VarrKuXAAyNKuMJo7+98zE8t+kzCVQPjugOfx51tVUQglohFbU8iUIUYM4mSRTM1vQLJJsaEUVIvtDoQaIgsUf6mBiYf/EIPUulZyRFwWwdVYB5jcbSwkQrUlmrP/ldrfCMlXsZjWxebuPWNedVm2h9xCD72HNpcdC1zWVYBdiri8CDeqH/7UGjGlAJCUADoGEX8wjgBmQeQ70jKB3bIuOYjRa6Kr0QfpEhABuFAXyagwQgwTjuybfh5NlfZc3GSxSS3jXll/ZaRxnVjrlbHTWjdnzT65GlesmOhG4tYcf+k1zmHhs6PwAHT/4ouaU6tWwCWx5JsuxWUyPqZiZFwawQ0kxMAG36+AjMXVdZl+/ykdHR0DuyuVBhedX2A7JRhVOGdoXubS6TPe5MPhhlpcZaki9Q773AczSW2mLQe0+EjvWMzmIpSAiyvTWtfl6wldb60ZxcXzTRtGRfIVdabqkEDL17jvVo4gyIAAD637gKCAJIAOI6cAQB3IDsh13tZcZsJEx0ZiH8VCvVqXE4QFUWEoAEmdjHiuD0z/JZreyq9Gn/qnP/jFpRAERDpQhOOyI6lHIAhoUBlGYk6Try6EZrqR1fDdWHRGr2bH85VB85LZBUJFKNl2vism1QUi0tpHRt1xYCCWeVvGoRgKHrOpScuP/6C7ldr2zeBL7/8de64jckMoachDOSw08pkT6tnS6ezKs3t5Hnmx33Lq1OetrRkBZK4+n9EIVklR7L0Ld1kvSil9L6lk6vL61nf/DkDEFicM4myfHfYDS09Uh5fwa8J9jZGP1vdli6eSQkAN1sPRfLjhuQ/cbTigww87Xy6keL4KxMCOCljcLg46eT7VeWwxmj0gvhVwWPuEurJvDBw9ZF+XAIh2tEonGolQhAu6KIpq/8LxRVfl0PUyOkh2uMIhJUKa2BnC5qRxud1v3pgkpYXnxAIgYhcs9fzDlFjsdOHca+oBLBMD2voh5plhoXCQvH96+TR8sZtqJoByubGL0XnCYgjOivVtFZbbzQAi5ac7uVINXSC3/nAwGr1pdeIkkpB2Bofj837hV8WFpbCsRWGyM9LdD/1oOWd9siAehd23KtGW5A9ptHjQA0kiBdrMGgnHfhq29/kigV0bwxbEu/wX5lOZyx65xCRalIxEwNHpXm0Gog5EgL/bofKqjcUUnSxionJnR+u4hG3gwkRK9lB6iLRUxO7AqPjuvNmxqCPJNfK4XAvmOasmUkx8A0C0jApZtrIKdon0ACkii8bNFRUILzG7sOQVbhPk35eG1APnCRKEq90Z96CQOn9af5YBEqIyFIs1P6wIT4ztTi+3XPoQYIG5pCwIr1ZZRIEu8BRCmlPcRte4UpA9nU2a53KJvU4WIa9L+5MIPjQiAB6LgJ/CkAbkD2210tYf7Uod0gc2wvw0KNWvgefHLkjKR/z3ZN4Z3Z1xse10sdu80pVDwSd0kDgE+y8ag0r/bWygGYkRwN04ZFyYpP+mbmV1iad04p6sfrxWX0FgGJatMU3n2Iz/0oI383rC79UvMWIOTc9ky2R7vVnCxxnj9N4UIakA9LtefPA4kOJJGMogKZeocy1Z7Mn54cU3dE2cvVObU+WHRtdSl8cfKsYAuCS1pCJ5h5Q0/dx+HRMTe1JLGzBgKs1xfr8dCA9iBgBRFsj+T8zoL+N7+2sVMyJADtRBvnqkMANyD7F4OSs0ycgFKTDuU1T70DJ878IlGqVdNGsPOxUfYry+GMf3y5BMr2n5KVLBwAarBaModW+00k4kDkFO6F/F1fSeRUy+EoEID/n703j++iOvfHn7CD7KvsQVIIq0QxiARsCSoEt9DbiwL227JYiwvKbZUkuLSQgK1ica8g9V4B6733l3AtCbgEKwmFBDVIgiY0gVAWlUUWWURBfq9nYOJkZs7MOWfOrJ8zf7SSzznPeZ73c+bMnPc853nWVCjVUq2qqjoxPlZfklkJwAmDu8BL04Y7gdq1vqRqzmYDOv1go5dJmj+YE+6BN7bVy23FAgCSlTNG94FZY64AJBJVIpxFhqi2eO/hPaheav6uIOWBFGWr9qODKhOf8xg9ikfIRUUq8UZUibJTyok2AiLnlxfPSFH3VbS9ymadJG7Z8KJpLfffNChFv40kAKPv40BaKBcg791CihJ6IDUB5uoqPbJqR4oAHNuvA6yYfi2ruEi2t8rNJInScLh89qoPoaD8S4OyaUO6wItTjcSSVy+vsRoByJrvLMgRkQvzd8DyolqqG4E1X5udUNI8ffbOYTB7VZldd+V3Ug5ATG+wOTP1IgF4iQinEggA2Pc8TyURygGc5L2lHMKXZtqPDni8d0bKRRLWDbJTkh6+uDhmBhU1v9x+FoskK2PGuZSGSmwpgaJsJvfflEBFvJkkACPu4KCaJxcg7z1DipaZOqInZKcP5VbIKrfgzJR4mB/QnFvcBjvoeOUT6+H4N8ZyyYO6toL8OWMcSJZdvUDglY3VkFNQZRiKdATYi6gDVMarcbzAmGUMlgjARg0AqgN8zH7h2h2wvJiOAESMRJNXuMnKzCtXjoaqOeHGDuhsm/8SdcH537pZk7r+eh/iM+bNrfuYIgkxejB70mDIyK2gmhJJPdvAJ/uOE48Zo03aI8hRjQB0m+igckaEG4kipCIMUWBNc4tIkvec+y6X9504jOX+WxyWYZYkCcAwey/EussFyHvnEY8AxwGUZPLnlLJKOm6VG817BPwfcdryzVBc/ZVBkeT4tvDf94zyX0GpgSUCrJF2Xm0MvBonaNODRMia6TlhcGd4ado1QTOhTh+WaEY3yKu5b26D3LL9dfqoVYC1m2aMyEMSTR+Upx5tH9qzDdy8tBi+16GsJ99onTCiT3so2W1cL/X9EzpdBrsPn1byDZIuLADzn//Yo5CQQcsBKHJzG6sfA2jnlJN2bhFITnSSfdkQEHmvqSPLe47NB7K1vwjI/be/+AdldEkABsUTMaaHXIC8d7jVBhNzPaUN6calVHH1IZi2vNS0r1VuNK7BQt4JK23mFBgrafJUYQwDFG68bPtpN4lE194/epu92DTimMs27oIVm2pdzTXoJ/ZmYz/0ZhnklR2gUsvJGkc1gMNGVpHUWtFukFd2xDb+vqn6MAzo2hp+/mqpaZQdrmFbMlOVebisaLdDNMR3T0/qBhlpA5irAIvXpL5E0esD6Xm8cmYypCR0ctucyMqP1Y8sLA6N2vOe1nY5N2iRku2CgIDcfwfBC/7rIAlA/30QkxrIBch7t1tF6i2aNBjuTO7NpdSyohrIzjeSWihsUlI3WDI5iUtuFDtZbfLdiOrxE0PRG1s/bcGx0XertuyBpYXVBlVUcolks5sbI7MKxXh8MmfSELgjuZffsLk6/oy/lEBh1WGqMVQCxE1fUClCaGS1Ps8cHQ8/7t8ZGsTFQULnlsJzuZHW8LQhl8OYH3WC+WsqlMg5u0g+vA/2Hz0D2SYfOZxgI6IvHhHOuzdFhChhMtwgDkhHyWU6Dmduk1Fe1vjxPu+Duh5rraXR0YtiX85msOwtEbiIgNx/y5mACEgCUM4DXxCQC5D3sLsVAfjnD/4Ji9btNDXo+SnD4Oah3b03NqAj4ovktTmFxDxVovN6+QWDGxtbv2zBcc1INlUfNfIJ/33dog318pyppC7+Vn3wpHDyxgxnvV5uJP730xfase95fSus33GQSp05qQnQtU3zukq0eJw1Oz04JKldFWA39SWNjYU9Guiq51qBjR+SsvIqiOsblaNcajR+UGd4+a5gHQF3g1QiFZNBEnn+xEEuoRt9sVF7pon0GC82vKShSN3tZNESe9rK226u1Xb6Bv13GjI16DaEXT+5/w67B8XoLwlAMThKKYwIyAWIETABza0S5pdm8ecAnPzyP6Ck9qiphlEhtATAr4iwivKJUgSgGxtbUT5glWNFsqm5zzDSjmTzrNF94C+bal3JPWY1n9DOoB97ZfWFvv24p96H6sOnqcTMSOkNf9m0px45pZK3QSBJs/K2w6qSvZa26PUVtZmyiuKmAvdSIyQAaYt2sMgV0XZEn3bw5q+uEyFKmAxe4sRKAbvj3MKUj0FBYSCs/HALz/Pejbkv2nazD7Zmz4ww2CIaGx55PPcPYvth7cU8sMPj2wuPfuexI+x95P477B4Uo78kAMXgKKUwIiAXIEbABDS3IgAL5qTAwK5tuEb595c3QWntMUNfjB4pcUAscikT8E6k/EwN4+IgO31wZI5sRumFmLS5yZqYCLcN6173QmpmM0YCQFyckpdPvUQSvTjmyJxCOE+ofRB1AvBnL2+CrSZrj9kyMKxHG9i277jhp6BgZJVLVau03XFzniXQKjrc7tivdrwR8e2IH4N49BLZ5/ZhXeFPd1wlUqQQWTybYruBSQVd7PrR/i6KeKYdL0jtYtl2kh94nvc8pKHX84Am5y/qFAZbvMZOPx7PHNFWpkd5Uc2V7bVv5P7ba8SDOZ4kAIPpl8hrJRcg711slX8OyYxZo/tyKZX61PtQYxKF06llE9g6/wYumVHtRDqelZ7UFZ6ZHLzNqRM/uLGxdaIPb99lG2sMOc1IJJ7e5l+OijctiCAyMpYUORYLBPy05VuguPoIlWs7tmwMh09+F1gCEBX78R83QO2RM5b24FHmmwZfDrc+t8n0uDlvNKOeNFKV0B4DZiEDqZziYaOUhA6wcua1Ho5IP5QbpJJauGVUQkfuj3tmFoha192wmR5x2VI0AqzzgocQEq2znTxaAlBG3dohyU6Skj5u4qmLzRljZSSgPeTEFnL/7QC8CHWVBGCEnBkmU+QC5I+3nnm3yrSIgZMIwJE578HnJ84aDOrauilszhznj6EBHZWUoB032YsiWLQh7Js80vHfB1IT4NorOpjm9NPajNOQlBeQl6jRT23SJiUWCMDpf9kCG6roCMCubZrCF8fPgjZYMmgYWUXiaf1OIuKcEstvlO4hHuHFo+zpV3WHW54tJkacBnTZVdQa1LUl5M+5PsgqBl43UaQNK1kUJGDC/kxzE0tWbPyYByw60h4BpiUK3cQ+6LJpsVTtsEpv4vQ5F3Ss3NZP7r/dRjgc8iUBGA4/RU5LuQD559LZqz6CgvIv6hSYlNQdlkwexq3Qj/9YCLVHvjH0j+/QDP7+21RuuVHsuLqkFjLzdpiahpv6tQ/wH8WOIl5+20R6CVUJGG0OQJKubm9y8MV6RHZhPWJL1SXqL8osEYA/6dcBPvjnkcDmAESfWRFwdveCiKPlSEDevLQYvjcZTI28WLZxl2lUq51+fv/e4bLG8NGjNzKrwUIYMAsPWQfadAhWZokiEf2A7pWNNfDkuio4f+EC4P228Pbwpu0Iyrz2Ug+eZzHNcXpJANrfjawEoIwAtMeUt4Xcf/MiF61+kgCMlj9DY41cgPxzFW1VM1oNf/V6Kby945Ch+U2DOsGf70qmFRMT7f79pU1QuseYL1E1Pmq5AMPuVFIEoNYumkISbm9ybn62CCoOnKgHN41eYffPr1/fCusoqwCPTugARSbHhYNEkpJSBNj5CXNNTk/pA7PGXMF9NMqq0rWWUE7o3JJIONvp6ffvrMWueAgDv210c3yr9ZCWEAtrvjSWVBBu+kCE7Fic1zzEM20fVnJLhA/DJoPnvpc5AN3xstx/u4Nr2KRKAjBsHouIvnIB8seRtC80LNoNfWI9nPjmvKFL62YNYfsT41lERb7tdTnvwQGT49Jaw0VE8kQeSA8N1G6WGgCYRkf5WUiCdGw0FgjA258vgm376hOfpKnx/JRh8OBfPxGaN0/0NHxlYzXkFFQxiVVy9GGhmQsXQBuRykI60xDd2txLD71ZBnllB5j0DEJjFrLXjWdlEDBwqoMVUUzz7AojrmYEj5YUv65vR6ewetY/aPi7latSDygPAcXSR/SHdc8mhEcD8c477CerAIt1ktx/i8UzrNIkARhWz4Vcb7kA+eNA0guNEwKjf1Y+nDXyf9C0IUBV9kR/DA3oqLSEBctGNaCmRkotlUzZc+SUaY40J/ePU6CWFdVAdn6lqZioz6OrF7wDR04ZC3vowWjWqAFULpwANMe5nPrDSX8eAlA/HhK/8yYkwh/WVylkJ01kllW+JZSvrb6IG915ueVOzPStL0sEIMvm3zeDfBoY18P/27bfdN2hWXOCfh/SkkcYsb85M1wFCYI0r72cBzwEFGsfr8hMn257x8PGYuSpY9BcECD33y6AGkKRkgAModOioLJcgPzxIinSgyaXGUnjsX/cALtMKlde0aE5bPjtWH8MDeioS96thGcLayy1ww37W/ePgmOnvzMtMhFQ02JCLVIOx5z0QTBlRLwvGJAiAGOhWt5tz22ET/Z/bYt7xoR+kH5VT9OjqyykkO1ADhtMXbYZNtV85VDKRcLue021E7vILHwuJGcXmo6bmtgJFv10qHK0mJSXybHCHgjo27EFFP7mJ9QjyWN91lCxkiOqtDDiSnpvykxLhLvH9KWeU0FoyOs30br7UTmXh4Ci7UPbTjSOYZPHEpkeNtvCoq/cf4fFU+7qKQlAd/GV0gkIyAXIv6mhHFXIKzdUcrTbJJI0vumZv0PVl6cMP/fvchm8/dCP/TM0gCOTkkWrqqIPbr2yG7z1yQHq6J0AmhlZlWa8VgqFlcZ8l0iSvPoL//Jd6iMpolpVWj+xRj9ZCHuPGgsQ6dthVBIpenNSUjdYMjkpEHOWNqKRR1mryCyr6sNaItkuUpBHL6/6TBnRE3LSh1IPx0tUxdIGl4f0CGvBhHqpIOIAMiYkwqyQkX/q5OfxG/WNQ9mQFLmeNTERZo12j1TluT/t+gSFVKWEXjaLcQTk/jvGJ8Al8yUBKOeBLwjIBcgX2OsGJb2E0xzf0Wt+4zN/h50mBGC/LpfBO5IArAeXVaRNelI3JYn/rc9tCnSeMn9nrr+j80YA2m0gtFaxtNVu6LLWVMD57y8o0V9h3pyyeHhkzrvw+YlvLbuoHzZWbdkDSwurDW2DlCsxeeE7cPCk/ZFmO4yQtMO5oF52FcatjpGjDPW5EOYIwAmDu8BL04bbQVf3O89RySAQK9QGCmrIul6FlQBEuFhtFQSxK2L8tsWPCEBXgAQAnrXCLV2kXImAHQJy/22HUGz8LgnA2PBz4KyUC5C/LhH5xTI5+104+LVxE965VRMozbrBX0MDOPpNz3wAVV+eNGiW2r8jzBjTF6YsKzH8xkPMBtD00KvE86LPQgqwtFXBFHkvh81BqU+9DzWHTxPV1qY2sIpyC8r9NfTxdXDi7PeO3IBk3+3DutdFEavC1FyAQ3u2gU3Vh2FUQkcY2LWN8rMVNvh7wZyUurZhzQGY0rc9rJw1kgpbNfH8/W9sq0ekWkXJx/J9SAXqpUZrt++H+1ZvM3RZOTMZUhI6sYiSbV1EwG2CEOWPyC4ETaYCwMj1kqxU7krmLsJhKVre+34hL8flQUDuv3lQi14fSQBGz6ehsEguQP67iYdsMNN62O/ehmNnzhl+atu8EWx7/Cb/DQ2YBpl522F1yV6DVnhE7cFx/eC6RRtkBGDAfKaqwxq1wLIxYGmrhYeHlAwovMxqTX+tBDZUHjbtN7h7a1jxi2vqbSZnr/wICiq+qNeeN/UBs7IUHa6Yl29aZZqia70muJG+P7UvPL+hpl4uQPy7dsM9Kak7LJk8TIlsIuUARMGzRveBrIkDlXbLNu6CZUW7WVXyvf2UET0gJ/1KWz30Rz2xAwZT2hVTieX70BbUSw2syOM5qQnw0A39aUXJdi4iIOrd0ErFqN0vXmDmossDLdptMjrQxrugnNx/uwBqCEVKAjCETouCynIBCoYXRTxYf7FiC/x95xGDQT/u1wFem35tMAwNkBbF1Ydg2vJSg0YYAdGvSytlg71iU60SeWK36QyQWTGhCqlKa2Zaf7h7TIIBA5ZNDktb7UBmucrCGknBOoke+uvHkLftc9NupIiiJe9WwfMbqqlIHVZ9nLaPn5fvVARzf4zu+2TvMdPq1qowjKR8ZHx/eHJdpSF3LPOAPnWgiTAzI+EbxgE8NyUJhse3t4xM4iXwfYLD02ERmz9/UA2vFu8hjjt+UGd4+a5rPNVLDmZEwKt57NU4XvpYxPu0l/r6MRYrRpJYFe8luf8Wj2kYJUoCMIxei4DOcgGKgBMvmZA4fx18c854bG1It9bwtwdGR8dQQZaQSKS0IV3gnR0Hleg/3HROT+mj5ATE6pvyCgYCc98sg9yyAwZlSIUkWDY5LG31BKD+KBX+HsYKlaxeXpi/A5YX1Zp2syqEwroJYdWLt70fBCAm3T/5zTnT/IhaOxrGxcH5C9r4QV4r/elHc8ybl4RXLZKbVaNvaY+Md2rZGLbOv9GfySFHrUPA6T3AAmVY7pegPi9YsA5CW1Z/874TBcHWIOsg999B9o53ukkC0Dus5UgaBOQCFI3pQIpmQ+tuH9YV/nTHVdEwVKAV6S8UQdneE7YSg3Q00VbZGGlgFb1Jyl/F8tLL0laFnJRUP0jFLdyaHna567QVbO10CMImL+l36+HomfN2qnL93gCPspr0xAjAr059axqVrDbXHx3mUsDnTqUUucVEbDiDMI98hrpueLuj5Vo9WzWJg/LfpwVFdV/18HMOObkHePTm6eOlc3ieyV7qF5axeOaVl2R0WHAUoafcf4tAMfwyJAEYfh+G0gK5AIXSbQalSRFR2HBmSjzMv3lQNAwVaEXK4kLYd+wbKok0UStUgmQjIQiQNrQvTrU+IsiyyWFpi0aRCED8LRbmz9w3t0Fu2X6if2kwCMomz+pIs5MJjPMzvuNl8Lu3dkDJ7qN1otQcgKSNVlQIwCHdWsHfHhhDBaHXc4H1fqcyIiCN7OaVVs1mjQAqF04MiOb+qeH1/DOzlEcHnj7+oUw3Mg9pRSc59lrxkHkSf3fmidx/u4Nr2KRKAjBsHouIvnIBioYjl7xbCc8W1pgas2jSYLgzuXc0DBVoxb+/vAlKa48ZJOqjbGQEoEDQBYmyItv8yteIL8lmR4BZot8EweObmNUltZCZt8P0nrKrKhmkTcZDb5ZBnskRcyfAYiTovAmJsHhdZb2CINqiC3aRlE7GD0Jfmvx/Wj29IuXCSJrgXNFXkSb5eNnGGsguqKSaAs0bA3y2ILYJwCCtRSz3QJD0pppslI14SCtK0THXjHeO4BqZlVeu5J7F1DjZ6UPgjuReMYefSIPl/lskmuGVJQnA8Pou1JrLBch/97G84JG0tSIAaY5c+Y+C9xqQCMD4Ds1h39FvlByAfpFJ3qPhzYgi5jpqSsrfqFohgrTl0dUsz5Ya3eUNwv6OQtqoxcUBlGSmGvJoajGuPngSpiwrMRhAEzko2mqrnIZOxjI7/qsliK2IbSfjBqFvuxaNoeyx4OWW490Q+4mpPto2bfDl8OK0q01VQvtGLtqgFLOiuZo2jIOq7OAfAeZZn2nsxzZhJZzCqredX3jvUTfniJ3OQf6d54OHQgCuqVDWEXxmZd8+WBKADp0s998OAYxId0kARsSRYTNDLkD+eoznQWym8YzXSqCw8rDhp8TLW8L6B6/318iAjj5t+RYorjZWTU5J6ABLJg8DJCQSOreUxT8E+U/UXEd1nnm3yrZYghPiiFdXs822CDJSkAtcF2MVaaT3hx5jpbrt+iqFeBdJ5PIY7XUkHh4NbtuiCVTsPw45lJFaPHb52SeoqSjCRpqQ5uYDqQkw94b+Bhdn538Ky4p2U7u+R9tmUDwvlbq9Hw1512daXXkJJ1r5brUz0xujtTabfHxxSwe35LL6nLW9W3oHVS4LORrW+yGo2Kt6yf130D3kjX6SAPQGZzmKDgG5APk3JUSSBTcueR92HjxtMKZf5xbwztyf+GdkgEd+8K8fw5ptnxs0HNazDay5N8VTzVlexjxVLTrMGQAAIABJREFUTNBgIl4gtRiV7j4C963eRtTOinSzw9qJrqTNthMyUpALXBejrGc5hcoRIf2lL4RCwvjh8f3hD5dIQL+jb6/+/Ttw5PR3ruOG0ZENsLIvZYSW6wq5NADr8V+X1DCIdXK/e6WjdpxlRTWQnW88zmtWbAhtS84uZFIzJ30QTBkRz9THy8Ze+SusBBLqnZlXXpdmAOdFTkSOa9o9u9V56NUc8XLe+zkW6SMJVq6/bVh3+ZGc0zly/80JXMS6SQIwYg4NizlyAfLPUyLJgoGPFsDp74w77xaN4+DTBcE/zuOHF+5avgWKTCIAMQegXb4ykfqGdaPBgoHTKBs9RjcN6gL55V+YqmBFHNFgzasrabMdKzkA7QoNaFMRWGGMUbdBiL61KqzEMvft2kahsq+djfh7kElwmnWBxkYv2pAqoJthPPnlzVBS+xWTWkH2ExrCuz4zgXCpMS3hxCPbrT4iPyy7paPbcr2cI27bEgT5ZoSqqpfMB8jvIbn/5scuSj0lARglb4bIFrkA+eMsUrQML1lw5RPr4fg35w3GtGnWED55Yrw/RgZ81Kff+Qye27DLVEuvNkFefan2eyPjxE6zvma51NCRWPAmdUAX0y/StDrQttNPnDdK90BGboVhPk1K6gZLJicF/G5wrh7iZlYERZWcmdYf7h6ToPxz4dodsLy41jBokKLErIgWJ2hhxN8FunRsToYJVF/e55qXRvi9RtLaSiI3GsbFwebMsXVrH+8x9qDnDDZLMxBLaRbs5okkvwB4n+F22Mby79qPJHoczKKPYxkrWtvl/psWqWi3kwRgtP0bWOvkAuSPa0gvabNG94GsiQOZlRr2xHo4ZkIAtm3WELZJAtAUT1LeRGxcMCcFBnZtU9fPrc2hFy/rr2ysgSfXVcH5C2KLmrBiwhtlQywsAQBaHsUucpMFax5dSYUjZo6Oh/kTBzHf02HsMOO1UiisPGSqukqEWh1L1FbEDYL9Vy94F46c+jYIqoRWByQ8F4XkCCLrmmbnFNHycDyUeW1OYb1K0vj3zLREuHtM3zqVaPKk6vVP7NIS1j8U3JzBpEgkve12fony726RX27MZTf9wPMMd1OfKMjGObBqyx7T/MuYxzZtSLcomOmZDXL/7RnUgR5IEoCBdk90lZMLkD++NXtJc5KsefDj6+Dk2e8NxrRs2gAqfjfBHyMDPuq05ZuhuJp8PGrxpCFKlTM3XyTdellXoRcdLYFRJZuqD8PX35yDF9+vYa6UzLOJsDp+op9iVpGbrFiz6kqqTDykeyv42/1jAn43iFGPFAWJ0p+fMgxuHtqdeITvIonxQ5SgGI2cSbEiK51Jjo3eGKm7dk4KdGzZNBDHuq1QF73Oi5an6m5GAOo/fih54HLLwfhGYD3vghSBa6Ypy0ec2LjDzK0UPfdEy/PKN6zPcK/0CvM4pGe8JADZvSr33+yYRbGHJAA98urHH38M69evh6KiIqioqICDBw9C48aNoVu3bnDdddfBjBkzYPTo0dTaoKxXXnkFSktL4dChQ9CpUydITk6Gu+++G8aPpzt6ee7cOXj11Vdh1apV8Nlnn8HJkyehe/fuMG7cOHjggQdg4ED2iDBaA+QCRIuU+HYiX6qSfrcejp4xHgFu17whlD1ONw/FWxhsiUverYRnC2uISuKmKn9OCtz63CZXK5POfXMb5Jbtr9NjUlJ3pQqx04sUKYJyWY44o5wPa7+C//xHLZTsPmqqFpLX/zkjGT77/ASMSuioRE/yvnyb9dMnNidhg5UwEy9vBcPj25seAxZ5z+l1WPJuFTxbWG2qmj6i1Klvg9p/7fb9xOIsdyb3gEWTrlTmBemosHqEOwg5AFWMZ/ylBAqrjBXWRfsAox8vwAXLNUn0mG7Kw2O/2bcPVoaYv6aC+WOBm7rpZbN+HLDTTbQ87Xh2JBjLBxOt3J7tmkPRI2PtTPP1dzdx9dUwhsFpn6u07eyGlpjbIRQ7v+P7U1ZeuaHQlzwCzDcH5P6bD7eo9ZIEoAcevf7662Hjxo22I911112wfPlyaNKkCbHthQsX4J577lHIP9KFJODLL78McXgGhnAdOXIEJk6cCCUlJaYtmjZtCi+++CJMnz7dVm+eBnIB4kFNXB9RL2lXLXgbvjp1zqBY+8sawceP3iRO4QhJsopWUs3EY4u5ZQcMVrMQaFaQuflyTZsryko/WuJNLwM3kweOf6NUNsXVb8qInjBnXD/banEkgo41osWq8qGoe05v8+yVH0JBxZemcGK1vFmjfzieF6HbqJ4pVoUzurVuCv/IHKe0z8rbDqtK9hpgmDqiJ7y5dV+gyCKvogCRMBvavTWU7T0eiemBESFIxF+3aIOrH1BEgGVHqrGOIVqednyzDzu43q19IAWOnf4Ojp3+FmavKmNVGYKe+081yM2POMygedzBD9vdnMsewyeHc4AA6cOC+qEHT8vIiw0Buf9mwyuqrSUB6IFnExISoKamRon2+9nPfqZE+vXq1QvOnz8Pmzdvhqeffhr2778YiXPnnXfC6tWriVplZWVBTk6O8ntSUhI8/PDD0LdvX0X+H/7wBygru/gChu0WLlxoKgfHHTt2bB0pOWnSJJg1axa0b99eIQSxH0YoNmzYEPLz8+Gmm8QTOXIB8mDieTDEmCcL4V9HvzGM1KtdM9j4SKoHGoRviAVrd8CrJoUI7CwRmXDc7uXaCVmFfUcu2qCQcNorbcjl8OLUq+v+pI7RtkVjZQOJVVg7t2oGVtFcdhiRflePVet/Rx0KP/sSsvIq6uW2Qqzfun+UIQqTZnwRhQdY8L/n9a2wfsdBU9Wmj+oFj90yhEbtULdZsLYCXi3eY2rDNfFt4X/uGaX8RiqwgYUMMFeleom815wAixvvebnlTkTEVF/VbxjJOWWZ8eOmqA8ookAV/SFGtDytnaQjwA0axClrPUZj45LPUmeGtC6Lwle0HDUVhRptLlp+UORpnz+okx9kOqmYTKxEtQdlLvitB+ldVR795feM3H/zYxelnpIA9MCbN998M/z85z+Hn/70pwqppr8OHz4Mo0aNgp07dyo/YbSg2XHg6upqGDBgAODR3eHDhyvtmjdvXifu9OnTgNGGH374ITRq1AgqKysVclB/vfbaa/DLX/5S+fPs2bPhhRdeqNcEx7n66qvhxIkT8KMf/Qg+/fRTRZ7ISy5AItH0T1biowXwzXfGV/7WzRrA9idkDkAzz9y1fAsUVR9hchpubBfePljJDUh7WZFIVhvFDZ8drDs6hxEeGRMSYZYmybvd+CTSQkuqmFV2w4i9Tq2awsGvz9oNwfW7NtIE7V+2cRcsL95NrIyK0XPZ+ZVcY2mJBhYyDwdTjrusqbi4qb50nNHK7+Of+QAqvzxpqmdCp8vgvf/4MZcNYeqUmfsJrC7dZ6oyRoHmpA9VfltWVEPt06CQRaSPLGHyjxe6atdIN4kw0baIjq4SLU+1l7QR1+KBazgtARiWyD/VPrdwFT2fnMrT2/nLUfGwrGi3Qazb66PdR0qndrL0Z32Gs8iWba0RMPugHJQPdGH1ndx/h9VzYvWWBKBYPLmlrV27Fm655RalP+bfW7p0qUHWvffeqxzLxQsjB6+99lpDmy1btsDIkSOVv993333w3HPPGdoMGjRIIfXatWsHuBC0aNHC0Gbx4sWQkZGh/P1///d/FfJS5CUXIJFo+iPL6ojaFR2aw4bfBjuvjz+oAXOEG+bomnptb9tjrFp7aDYrZm3GDuhs+NqPcu2qHWqj+W55ttiQq0XVDTcNGOmnjyjwwhcpfdvDkjuSAAlOs3wyWh3wBfO16dfAtOWlzKppIwBJGJNyzZGO2W3JTCX6f+wfN8CuI2dM9by6Vxv4/2anMNsQtg6kSshoB+b3uzO5t2ISKboUiW5twGqQNhh2OUPD5ivR+iLp9MKlY78YQaxeNGugaF145YkmGETLQ7t4c/yZYeI2ecTrB1K/MBHKTmw3sxMjOwEjpDULpBfrY1AiAMO0jjjxfVD76tPBWKVZCaoNQdNL7r+D5hF/9JEEoD+4G0bFAhytWrVS/o65+ZAQ1F6Y+69nz57KUeHExESlaAfpwt+rqqqgR48e8K9//ateLsB//vOf0K9fP6Ur5hJ86aWXTMV88cUX0LVrV+W3KVOmKIVCRF5yARKJpj+yCsoPEHP+TBjcBV6aNtwfxQI+KmtuL9YKpSybFf1GkSZ/n76P9gVZT6ToXTEjpTes2/45HDjxrS9ews0MRqjoTicbdOnapikkdGrJHKmJaVcXpV+s4mzmB9xLqUfmzKI6SfeU1XGXhIx8OEcIu2ndtAFsj4Fq3KtLaiEzb4fpnNJGGj3zbhUsNSmYkprYCT7YeVjJGccT9ermZLZaZ90cN4iy0Tc/6d8J3q86pNzDdhGybhBhQcTFK520az3tWqrXLYyJ+4MUjUbra565T7Jz1ug+8JdNtZ7mSOV5FtJiQ9uO5V2KVqZsR48AiZD+26W8o2raGHqJsiUiIPffch4gApIADMg8+Oqrr6BDhw6KNhgJ+NZbb9XTbNeuXXXHeX/1q18pRT5IF/6uFgnBfn369KlrumLFCqXiMF5vvPEG3HHHHUQ5/fv3V44lY77CPXvM8yvxwicXIF7kgtPPamM6JbkH5Ey6MjjKBkgTmqNUWnVZv3g62ayYRaCpumDUxr+OnK53PPj+sQnwwvs19ZLtBwhqT1VRqzdjJWK8aPysj6QgFamwIgCHL3gHDp/6ztTW9s0bwcePi8/h6imwFINZFQHREoCvbKyGnIIqg0Qk2QHi4Ml1VUouQJ4j9xRqcjWxuie5BIa0k1rcA6P8eMiNsJkdVBu1etVLF4EfVihADlvePzQpbEQQb9SalZ2Ig5dV0oNAADp5l6K4FWQTGwSsPkgH7TkdJmfK/XeYvOWerpIAdA9bJsl5eXmAxTjw+u1vf6sU9NBeWIwDcwni9cwzz8CDDz5IlI+/z507V/kd+6WlpdW1RdlPPfWU8m8sGDJs2DCinNtuu00hIrGa8Ndffw2XXXYZk01WjeUCJAxK3wSRjmigQrcP6wp/uuMq33QL8sA8RS7sjtyIStqNchYXfGaoQKwWxbjl2U31iiUEGWfRumHEyx3JPWF1yV7TPFcYJTFrzBV1R3Vpj8ypx+GUXDc5hYbj0xhVWKI5AqwnBqYu+wdsqjlqam7zRgCfLZwoGorAyZv6yj9g0y5zDLTHDUkVuJEA/MP6ncSqsX6TMbFcDIT1A4jV5PTbj7Q3Di+Bo5Xvlq0o98Par2Df0dNw6ux5uKZPe2gQFwdrtx9Q1karq0fbZlA8L5zFwUT4hNb/Tto5JSu9tpM0T80+fHgdPeoUSyd+lH3p0g7YvRtLHI0IyP23nBWIgCQAAzAPvv/+eyVvX2npxXxTW7duVYp8aC+M+Pv1r3+t/Ol//ud/4N/+7d+ImmPOPqw2jBf2w4hA9cKIvzfffFP556FDh6Bjx45EOZhDUC0QggVFMCKQ9sIFxur6/PPPITk5WWmyd+9e5biyvMKFAGkzjVYM7tYa1j4wOlwGeaQtKcrLbnhS3iSzF3aUNX9NBdORHX2uFa0+aYMvh0/2HYP9x4wVn/V64wvZiCvawybGQid29vv9e1ZaInRv15x47B31UyPHMJciRktU7D8Oi9dVEo8ca19eSV+7R/+oI7w+Y4Rivr54Ch5dRb8cPmkeARgrBOCI7PfgS0LxGG0EIGnNmjk6HpYX1RqmmD7q1c/IwFg8Cjx1RE+YM64fU/5T0jrhNbHBu16JIB3cshXlZuSVGwon4fOhYv8x+NdR6+fDA6kJMPcG+vdIXgzd6ucWqSpSXxFRa17ZaTdPlYJYeeXKRzH8AJd9Kb2GSLzsZNnpaNdf/u4MAZoUM2HLKeoMEee9JQHoHMMoSJAEYAC8+PTTT8NvfvMbRZP09HTIzc01aPXHP/4RHn74YeXv69atg/HjxxM1x9/VqD+M9vuP//iPuraYX7CgoED595kzZ6BZsx+SZusFPvLII3WRiFhZGCsD014YNUh7SQKQFinx7Zy86N289AOo+Ny8+mhO+iCYMiJevMIRkGiVr4xkHr78PjclCYbHt6+3GcYoTH1UnkoqoSyrIzv6qEGz6DNauNXcfzj2DQM6wbodB2m7hqodFpTIyK2w1BmxwPUPk6YjHvf+pC88v6HGEDmpz1+G/hiRXWiILsR2S++4Ev5a8i8orvmKCa/OrZpAadYNTH3C2PhXr5fC2zsOGVQf1K0l5D9wfd3fSSQa+vXRNTsMEYBv3T8Kbn1uEzEy0EusSBGiXurg9lhpg7vAsF5toUe7Foa1zsnYIkg1J+Oz9HVK4LhlK2l9YrEtbJV/WWyza+vkXctOtvZ3t/zPogNNW1o9RePGI8+qD488Gnxkmx8QUDHesusIPKvL4SsjANlniiQA2TGLYg9JAPrs1Q8++ADGjRsH586dg86dO8P27duhS5cuBq0WLFgAjz32mPL3wsJCGDuWXGF1w4YNkJp68ZgF9ps/f36dPPw7/o7X+fPnoUGDBkQEcDzsj1dRURGkpNBXk5QEoM8Ti2J4p182B8wvgDOE6gO1i6N/7JACYtMmy4pqIDu/krr7pSJ8ShSZNgLJKmLP7ouo3ve/HBUPy4p2U+tk1nBIt9aw+8gpOHn2vCM5Qe7cp0ML2H3kNJOK6LOHx/eHJ9dXKaQg+nOKSWQTvuQmZxcyybZrPCMlHh69eZBds9D/PuO1UiisNBKAGCH56i8uRprjVVx9yLSy88qZybDvqzOGqNleHVrAlGUlBnz095dXm0Crez7sTnTzeJ9TUs1LbJ1WP3XLVqcRqJgiIWviQC+hDMxYTt+1WA3xejxW/bC9W/PUShfRuIiWx4NjrPQhpVTJTEuEu8f0jRUYhNgpCUAhMIZeiCQAfXThjh07YPTo0XD06FFo2rQpvP3223D99T9EK2hVC1sEoDwC7OPEohhaiSZZtEEhJNSL9Uva7c9vhG37vjaMNqxHK1hz3xgKLWKzCU8OQC1Saj4+fWQSrR9JL1Kx6Q1vrMbN7/Ki3XXRfWZ5zZxusM0sKZiTAmpREm8s9WeUp9/5DJ7bsMsw+P1jr4D/uHFA3d+tqgAjUagn8miiVLzeBKo52GavKvMHbBdGFZnnz0w9Gj+6YBaXSKfEiFu2Ol2fYjX6zy1/2E0urz5K2OlB+t0p0c06rmg/iJbHak+stXe6LsYaXlb2SgJQzgZEQBKAPs2D3bt3KxF1Bw4cgIYNGyp5/fD4L+kKWw5AO1jlAmSHkLu/Z+d/ahrxZRc5ptVq9soPoaDiS4OieIzrxWn1c1i6a024pJNICBYrsiYmmkYRNoyLg+z0wXBHcq964rSbATwWbBbVxDK+bEuPAB7fRppdw7UrnfFo7+aMsXVHup1usM00Yrmf6S0KXktSFeBJSd1gyeSkOoWXvFsJzxbWGAxQKzh3bNnUcGyeRPCpRNz9b2xz9CHFCZqDH18f+ohbkXn+rLD0mqjl9SvOq2tzCuutF6zRkW7YaqYXrY0pCR1g5cxraZtHqp0dcRF0oo7kDKd62+EiehKIHk+0PNH2BlUe77yRhKs4j8r9tzgswyxJEoA+eA9JP4z827Vrl5Ir6rXXXoOf//znlpqsXbsWbrnlFqWNkyrAmGsQcw7iJasA++D8AAypRP+ZVBvVExJ2qr6ysQZyCoxHWWVIvjVyr2yshpyCKjt4ib9jBOBr068hHmVMSehUr69+M/jIpeOo5/SMFLdGsqMWASSTfoirBRid0BGKqg+bgqQl6EQfAWaN6A2zFx/868ewZtvnBhP01cgX5u8wLfaBHZWstUjW6o7a45/1mxZ9MRb9wF4Sr1Nf2QybdrHlhgyCr9OTukJG2kAhBT5o7eHdfNLKN5srLH3V/k4JQBF6mOmtHEHPLYfvGY2K1eg/1Q/XLdpgmkd0w2cHmYt1MULvSnMRBLPXhI7o8UTLc8VRARPqdN447R8wOHxTRxKAvkEfqIElAeixOw4fPqwc8/3000+VkZ9//nm49957bbVAsrBv34t5DrCqL0YEki78/ZVXXlF+xn59+vSpa7pixQqYMWOG8u833ngDsCow6cKqvzt37oRevXrBnj17bHVkaSAXIBa0xLYlfblkzdHz+7+Vw4pN/zIoN31UL3jsliFilY6QNFIUEo2JauEI2txkpCIh/++63vBqsbHqKY0Osg0ZAbNoP9oIQNKRKF68F08aYogE5ZUV9H6TX/4HlNQeNag5Ir4dvHnPdXV/ZyHfSQQq+unmZ4upKjt7hduoxYVUFbq90odmHC9JUhp9RLQRsUENemRRcva7cPDrb6nhuqxJA9jx+wnU7aPY0GxeYKV4EjHYuRW5OJ/f+IgkvmjuF5GkPc14ZviSdCBVKRaps6qPGzK9nEui5k3YcfASc9JYcv8dBC/4r4MkAD30wfHjx5XiHR9//LEy6uLFiwEr7dJcFy5cgB49eihHhhMTE+Gzzz4jdhswYABUVlZC9+7dASvsagtyIKGHxB5e99xzD7z00kumcr744gvo2rWr8tudd94Jq1evplGTuo1cgKihEt7Q7EGMJMXmzFSmaIxrFr4Dh05+Z9CvU8vGsHX+jcL1jopA0tFpGvvUnG5mx7EwgumFqT9UCrYqGNCnYwvYfZitmAWNfiLbtGjSAE5/yxprIlIDNlkvTr141NQsNxuS668W764jjcxynrEWh7HTLpYK8SxYu8OU0NYXQWEhABFfPUmF91RGbrmhUrPqC22RHvybl5sVzC36yP+Ww6lvg1+EhzXa3G6uB+F3kRvcoBJD05ZtgeKaI0xwN2scB5UL0pj6RK2xmi4A7Roe3155zwo60UvygWi9rdZIXsLOav6wrslWOigE4JoKJQWE+nEWx56/pkKJ+NQ/D3jntRs48OrC20/0vOHVQ/YDkPtvOQsQAUkAejQPTp8+DTfeeCNs2rRJGTErKwsWLlzINPrs2bPrCLvNmzfDtdcac6ps2bIFRo4ceXEjOns2vPDCC4YxBg4cqBCI7du3VwjCFi1aGNogOZmRkaH8/b//+7/hZz/7GZOudo3lAmSHkLu/i3ihmLj0A9jx+UmDooO6toT8OebFbNy1KhzSnUQAIsmEG4gPa7+Ce1eXKccV9Re+dFod88W630Gn1ZCQhri4ernVlHrlccZcekHxek76IBg38HJiVAfqiX7DS90EanUnVajltS+2CMAKeLXYGKU+I6U3PHrz4DoIM/O2w+qSvVSQYj7NzZk/5GgkpU5AYUjoPj/lB/Id/yZijaVSVNcI59EvlpfCOZ7OHvTBW3tRBKNTRW5w/Zo7Vu7njVDu1a4ZbHwk1YOZFcwhrHKIWhG9rESV29aj/zdVH4YBXVvDL1ZsNT3SjDpgjuGEzi2ZPiab6S6KUHeCi5UOKFfvP7P3FqepOIKAgxMM1b4i7AjaPSECFz9kyP23H6gHb0xJAHrgk2+//VbJ3/fOO+8oo82ZMwf+9Kc/MY+M0XuDBg2Cc+fOwfDhw2Hjxo3QvHnzOjlnzpyBMWPGwIcffgiNGjVSjhn/6Ec/MoyjPQaMx4/xGLL2qqmpgauuugpOnDihHDvGaEKUJ/KSC5BINPlkOX2YTlu+BYqrjdEAsZzwm8YTb5TugYzcCpqmhjZDurWCz744We/l20yQFcnXrU0zOHD8G67x3ewUp8m/9stR8aZFajCS7i+bauu+riPRuXh9VT2i0E0dUTYJ26SebSDv3hRu4odEIPDY0ygOoHrRRJ6uoexz1/ItUGSyFo1O6ACva4oPLFy7A5ZTHn1PT+oGGWkD6jayVv7Rp08Qsdlx4ghSURQnMnn6dmrZBPLnjIbDJ8/C2xVfwOVtmkHqgC6OyQEeXdzuI9rnTp/Pou3ljVCeMqIn5KQPFa1OKOTZzYm5b26D3LL9dbZMSuoOSyYP436GuAWKXs+knm2hfP9x5TmMpNf0lD7QqVVT+MP6KmGRbyIJdV5crHRAmbTF1JykOwgCDrz46fuRjkzTyA/iRxEavYPYRu6/g+gV73WSBKAHmP/0pz+F3NxcZSQ8Aozkn/ZYrl6FJk2aQL9+/Uw1w6g8jM7DKykpSTlCjCQdknZPPvmkUtgDL2yXk5NjKuP8+fNKHkI1GhH1mzVrFrRr1w5KS0thwYIFcPDgQWjQoAFg8ZEJE8Tnb5ELkAcTz+Uhpv+lBDZUGYsbjO3fEVb8coTLo4dXvBMCMLxWX9R8WI82MLB7a9MoLIxubNuiiRI9gBcpOgJ/00YZaF8MMRJreO+2UFp7zDWo+nVqDjsPnTHIxwjAKSPilb9rN+96fUmKYZ/k7EIheo/t3wFW/DJ2qm7i8df7Vm8zYPf8lGFw89DudX9/+p3P4LkNu6gx1h7hIkUA4pxb+0AKHDv9XV3ki9+bNtHRpNSAXWqIxOvk5J71sGeVEcb2Ud6k8kYAqmkrwuhPO53tSFqrdQCfc2bPuLfuHwW3PrfJNMLOj9yAJL+vnJkMH1QdghWbak0/wEUh8k1GANrdAWy/mx2ZviO5l60QUWmLbAeKkQZy/x0jjrYxUxKAHswDK7LPbPjevXtDba15gv7vv/9eIeswio90YZEPLAKCBB7pwmIkaWlpsHXrVtMmSEJiZCCO5cYlFyA3UPVW5oy/lEChCQGY2r8jvCoJQKIzCsoPmOaJ89Z7/oyG1SDxoslxxbKZ1m7E/v3lTVB7xL0Ix5kp8aZRZGYbXRYbEJf4eflCHBNrVTdJ5Kkeh/HPfACVXxrTFliBrt3I6vNqIvl3+7Du8NYnB+pFvgQhwf/NzxZBxYETQuYTrRBROa9ox3OrnR2xYzWuk75u2SNK7oBH8+GMMe2vpfiopiKgWdvNiAvtBwOzCLKsiYmQnV9pwNRJFJkT/5MiP+ekJsAL79dYnkZwqjMpQtKJPax97XIA6vP9oXyZA9CIsl00rJVfRBUuZPV9VNvL/XdUPctmlyT9RuzqAAAgAElEQVQA2fDiai2SAFQVKCgoUEg+JPCQzOvYsSNcc801SoVg2og9PEq8bNkypcAH5gQ8deoUdOvWDVJTU5Vjynjc2K1LLkBuIWsvV9QG5cYl78POg8ZCEmP7dYAV02Mn+sge8fotREZ6sY7td3t1Q0CzeUJdeebqVb9/G7467V4GtMy0RMgpMG7Q9LnNWF94Rc0L1O/uMRcrxsfKRRtx9+uVH8K6ii+ZYdFuZLUJ/eM7XkaM1tnw2UHhG0FWxVOf2gA1h43RqqxyaNqr+Un9iFKi0Y+2De3aRCsvSu2mLtsMm2ou5jGluTo0bwQfPX4TTdNQtaFZ29VnV8X+43VHY1UjSXl68e8YAaivMo6k4RbGIm2iACVFAC6aNNgylUkUIgBVDK3eQ8x+43lvsfOXGzLtxhT5O+0z2mxMtP3anMK6ImpqmygWkxKJOUmW3H97gXLwx5AEYPB9FEkN5QLkj1ud5ODQamxFVnRp2QRK5t/gj4EhGFUU0RMCU+upqN8QuPVCO3Hp32HH56dcgQdzNI0b2JkYwandqLG+8LLmAJyS3AOOnTkH68q/UKrSIgGJ5N+sGCP/0NFuHQFG2WbzVi3mgr+bVX1WCUO35jjt5PZqrVkckaIeNMQOLfa07bSEsllxIFo5XrQjRf2TxtYfwfdCRy/GsFvbtSQy5si7bVg3WLPtQD0CA9eVh8f3N+TNw+hhPdnhJwGIeJpF4s0c0wdueXYTnDepRCYiEtgOYy/8TDOG32s8jY5BaONkbX1lY43pR1e0y2mUaRCw8VoHuf/2GvFgjicJwGD6JfJayQXIexebfUXjfbG0Iiv6dmwOhb8Z672BIRmRlegJiVmWaorYENDiMPnP/4CS3UdpmxPbjR/UGfpd3hqeK6xWCDa8V3LSh8DQnm0gbWkxsR9GRtyZ3FuJXqQ56qwKsiNrmjcCGNm3I9ww6PJ6hRTkBgRg9soPocAksi9tcBd4cdrwOl8NX/AOHD7FdoZRG1GpPwJ8qVi1YWP/j4wfqgc7nogOBeh1diiuXnfE94nbBkemqIfXpIPZkXJcY2jyYon0I62sBWt3wKuURXSivDm3WtvRbv26T8IXyQvMBajNaev1HKT1vVoFeFRCR9i+93hddLPaX41qHNS9TaCrAPM8L0l9ZLQw7ey52I4Hr2UbayDb5MQFynMaZcqmfXRay/13dHzpxBJJADpBT/blRkAuQNzQcXck5Z7Do1tpQ7oxybUiKyQBaA2lHdHD5IiAN8ZE4Q3i4oRsCGhNJUWDkfojiXN/agK8eCmfERJ9GRMS4bak7qYE3sPj+0FOQRVRHZUoxE28vkAJyrWK0Hvm3SpYWlhtkI04piR0ooUg5to99GYZ5JUdMNiNlXyfmZxU9/cr5uXD94zoqBEGuAG+eWmxob+WBPSS6GYxQ7uBXbVlj+kcY5GHbcMwJ/Ubd7vNPytpz4qZtj2ONTKnEM7j1wXNFeRjbaT7zAyHqG/OzcgMjN77v237TXP46TEi4WM2BzGKcLNPR4D1epvpp+Y1HNi1jZNbwtCXhzCyUoDnBIxeh0fG9wckOdu2aByoYi1CgXdRmN0arF8jzY7+qm1iMd2JCNfI/bcIFMMvQxKA4fdhKC2QC5D3bhNJAKL2feflw3kTMzq2bAwfzr/RewNDNGL688VQtu94iDTmU9Wv4xnXLSqEA8ftC4Hoq7zSRGKkDekCBeXWeeS0mzs8vvLkuirlqBQNQTR71UdQUP5FHeB47HjJ5GF8DoiRXqTK2mo0pgpDQkY+nNMRLnYQ4SajdbPGkJlXbshBpO2rEsdhOIKtn2N2GOh/D8Oc1G/cb72ym6FYi1mknRXpwLJ5tcPUKhLcr3XTTudxT70P1YeNeX/N+kXlWLgVJtr5gDk/s9ZUmFbE1cuwew4EOTLU6whFUfec2QkY/HhTkpVKjGA2IztVX+J6/73JsySo967dvR3E3+1Oy0is+bwm9998uEWtlyQAo+bRkNgjFyDvHSXyCDApMTRaNaxHK1hz3xjvDQzRiKy5lIJu2tDurWDHgZP18gH5HQGSmbsdVpfurYMOq1N/eeIstL2sCdyR3BPaX9bUMjKRNMfxaPD6HQdtXaIe72I5BqwK1R63Eh1VYat4CBvQ5gBMWfwe7Dt2lslCjL6BuDjqjX2Qjv9aGYpz7LdvlsGOL8zzZc5I6Q1Vn38Np749DzNG94ErOrWETdWHAY8ABn1OWm3cVUys1icz0kF0NFLYIgBZItfxltm9eCLTfRbmxmbvVmb2NACA56cmgV2uR2VuLNpQb83x+3mqfTaZpcAomJMS6HWB9AF86oiekJ0+1HT62RFQZsRuWNb/MNxvVut4UO6HMOCo11Huv8PoNfE6SwJQPKZSIgUCcgGiAMmFJsoRiEtfqfGoUfbtg7nyDZGOKqLKKX3bw8pZI13QPjoirZIah9HK2sUTufK7uG2rk+gB0st/4uUtofKLk5aqqy+nGFE4ZVmJoa38ci3W81l522FVyQ9krypdv7m7/fki2LbvhNjBddIwpULbFk08PfbuxKCbny2CigP1MbGLjHEynhd9aTfutPehW0eDgxzppfcTLabYr0kDgJ050ScA1efLniOnTCvipiZ2gg2Vh5QcsnjpK8WT7gWvo+xY7kmSbjypZFjGddqWRABa5cGm+ZDQED8O6aL7nbx3OLUzav21H15U2+wiaKOGgWh75P5bNKLhlCcJwHD6LfRaywXIPxeKeDmxSgauz7vln6XBHdkqgjK4Whs169C8EXz0+E11P4iYW0Gxn+bl30xX7cspKYG1zF0j1su0EYDTlm+B4uojTINjBCBu4M2Oe5kJisP2Fy4mKF9o8YElSPeKdj3HKKWckFf1pbl3WSJI3CRkUFe1qrRdZBjTxBXcuLj6EExbXkoldfqoXvDYLUOo2oa1kZaYQGLPLLPApKRukKvLTUpTeM0twlkE1qR7y8kHZRF62cmwimC1+hBgRkBpiai37h8Fx05/V/fBR3SksJ1dUf9duz7Gd7ysHtZRt90t++T+2y1kwyVXEoDh8ldktJULULhdOfaPG2DXkTOmRujzboXbUne0Z4mmcEcDMVJpI2jEjOa9FHyZn5dbTj2wNhk66YgfClM3gfjf2ryD1APJhvUQoCVoXtlYbVnARQ8rRnfMm9AfFq2rpCYAtTJIJFMQN4lBIiRFTG/eHIBmY7tNyLiBvWiZVlH/eswwIjzKFw3BjPaTiEGadyS31wh1fmAxCy2BRfKbdj4p+Q7zyg0FbNwoBiJqHqOcEdmFBqKWpuiOqkPF/uPwh/VVcO5783y+bq8TUb6nzGxz+x6INTxVe+X+O1Y9X99uSQDKeeALAnIB8gV2YYMmzi+AbwjZ9EstkioLUyDkgkgvitf36wiFlYdCYR3Ni3MoDLFQkhTBZ2WXSorakbwj+rSD0t1HlQ0JbhQxKjAMBSSC6FOzHFxmkTZWUSB6u9AnGWn94dTZ846q5upJcrlJ9G4G6ckDJ7k13dqMuiHXDZmkQjt6bz6QmgBzb+jvnZN9GMlubbdTSVspHtuSSC5R5JdeH9ZjlWbzqXXzRjB7VZnBVPxokp3Ol1rGSk+7iGo7zEk+mzW6D2RNHGjXve53K5/QfoiiHiyGG8rnpHvOl/tv97ANk2RJAIbJWxHSVS5A4Xbm0MfXwYmz3xuMaNYoDioXpoXbOI+0N3upHjugMyRnF3qkAf8w+g0Mv6Tg9jQjley0xeOimzMvVhW0igAkyZFHg+0QNv+dlgDE3v0y8uFbxkrAfFpdPAasTwovN4m8aDrrx0uKaUnDji2bCo3YdWOT64ZMlaSieTbFwgdA2ghAqxmLz4qF6YMBo8r+unWfUvDDKclFc4dY6W62XpHmEx59vfW5TUo0nP5iOV5P0ln0PDaTp31eW2FHS8SSjskHvUAKzbzxuo18TrqHuNx/u4dtmCRLAjBM3oqQrnIBCrczBz5WAKdNdtEtmsTBp7+XBCCtd/Uvlk4jC2jHZWmX3Lsd/OjyljCybwdogAnOAGyrGLLID2pbHl/ok7zrk/zb2UqTH8pORiz+zrJZGLHwXfjy5Leuw0TKiSV6Y+u6IREYgBfzuW9ug9yy/XUITErqDksmDxOGCMu8pR3UDZnq2Dcv3QgVn39tqUrUj/+qxlvlhqP1lVk7EeSZ1fh2zzV9xLLVfPrXkdOQmVdumh7BaXoQN+Yxz0cA2j5Wz3qnWDiZT2Hty7tmh9VeL/WW+28v0Q7uWJIADK5vIq2ZXIDC7d6+8/LhvIkJDQGgJuL5f9z0HMsRRTf1QNlJPVtD9qShMLBrG7eHCqR8UqTENb3bwtY9x4g66/MgoZzCz76ErLwKqjxycrPAPh1YNgsiKwGTcnxNGdETHhzXT4kENbtoN5XsSMgeZgjwkAmkQk2Yvy11QBeib1k8QBrDScSQEnm8aIMSUaZeokil9BeKoWzvcUkAXkJA/YD34oZ/QnHNVyyut2zr5jNAVASgGtmMc/iWZzcplXBFzjeWNZ0FeNpoPpRJqwMrpiz6xnJbfE6quSaxONWM0X1g1pgrhKy9sYyr3H/Hsvd/sF0SgHIe+IKAXIB8gV3YoPHz8omyYiUCQBiYOkEzXiv1PQ/gnck9YNGkK90yMTRytUQNEnsZExKhe7vmprmPtEaZ5Xha+t5OeKN0ry0J+EBqX5h2bbx8yWWcJbSkWvoLRVC29wSjdGNzEvk3dURPyE4faivfbCPKsjm1HUA2qEOAdiOvhWxZUQ1k51eaoijqqCYPMWnnVn0kksh0DQ/+9WNYs+1zogqNsKhRDH0AVO/Xr06dhftWbzPgcvuwrpZ4mQEpiqy1micicgDekdyrbgitPDxWOz1FDFFDu6bb3RPa31nygNLen6R2IvMhstgY5LYszziFAFxTYfiYsfB2MTkmg4yTm7rJ/beb6IZHtiQAw+OrSGkqF6Bwu/NHGfnwnUkerRaNAT5dEO0KgG57jhQV4va4qvwOLRrDR4/d6NVwgR9H/8JK6x/1OC9WTCQdk7IyPksWBWGeGzSbCzsSg3bQ5N5todQkEvT5KcPg5qHdacWYbqJFEUzMSkS4AyuZYHefiyBqeIhJKxc5yXNG43q7CMA7rukOi38q7og0jU5+tdFHJxkzIgO8ODXJ9mORVn+RZK0dLupayVMF2CyyGeUt27gLVmyqFZrPkGZNt7NV/Z31SD9thC6p3cqZyZCS0IlWvci3Y1mDZVSle9NB7r/dwzZMkiUBGCZvRUhXuQCF15lWx1RbNY2D8t/JHIBOvTt75UdQUPGFUzFc/WUEpzVsS96tgmcLq6mwxeOC8/Mq4Dxn0QlZFIQKZqZGM14rgcLKw0x9zBrHd2gGtUe+Mfw0KakbLJmcxCRfNBHENHgMNaYlE9R2K7fsgYJy8jos4qgmy6bYzlW0EUt2csx+p0lPEQvPDsRh5ZZaeLawxhbGmSnxsLy41rad2iAnfRBMGRGv/JN2rlILZ2jIM3bQ1zCrI/1X9mwLx05/BwmdW9aLvLe7n1Sc9hw5BRm5FQaEkQBOG9KNAfnoNmWdH6y5KqOLnHjL5P5bPKZhlCgJwDB6LQI6ywUovE4sKD9A/KrdpAHAzhwZASjCuyxEk4jxUMaUET0gJ10e/bXCc/LL/4CS2qNUkM9JTYCllGShmUA8QrQ5c6w8DkyFNl2jzNxPYHXpPrrGHK0eSE2AuTf0Z+ppt9FkEiYbO0JAT8jd+5O+irzn369xJa8ebow/rL2YP254fHtH9zrrJpsFKLsNeXpSV3hm8lUsIkPXFufGvNxy1/RW0weIJIXtlNWTfaTjvCin+uBJA0mmyg/6GmZ1pF+1QR95bXU/YWT//DUVShVkUjoISQD+MPtY54eMALS7c/l/l/tvfuyi1FMSgFHyZohskQtQiJylU/VnLxXD1j3micC7tGwMJfPl8VFR3sWXoD9/UA2vFu8RJdJSjpPk854oGIBB7nl9K6zfcdBWE7UYyC3PFnNHAOIgIqKMbJWNoQZ2RzudQoFRn3cm97YVo914Y+PrFm1QNpPazaiaaN9WmGwgBAHaDb+oI9puED3ao6mYjy07fQho87XxArV2+37TPHeqPNp5zzu+3/1oIiCd6jgluSc8eEM/z9YC/fx7ZHx/eHJ9Vb11CG2KiwOF5MLliTT33SSfneKK/YurD8G05aW2ovRH+83u0bEDOht8pBespgAhFYKyVSRiDXjmB2uuyohB5po5cv/tGrShEiwJwFC5KzrKygUovL7sn5UPZ81KAAPAhMFd4KVpw8NrXEA1F1W4wMq8SUndYcnk2Mjf5MTNNBGA2lxO+qT8rGNLUpYVMfv2V8zLB7OcXfY97VvQECFmxWU++/xryC3bXzeAvB/tsRbdwi5KhedoJElHng0xjb3axPkNG8RBtqCE+Vl522FVyV6iCqVZqY6iF2ls87NNdv6nsKxot6sqINH2whTzvIGiPwSZzT98bmm+QRBtJeW/5CG0Rd5TVs6xi2DV9tVjrdeRJAsr1eJzRSTx7uqE81g4z/x4ZWMNPLmuSqkyrRZimzXmYlS2vPgQkPtvPtyi1ksSgFHzaEjskQtQSBxlombSE+vh6DfmDCDN5je8lvunudtRSyl928PKWSP9MzBEI9sdzZ4yoic8OK5fvc0wvsQuLqjkIp2wKvDcGxJDhFDwVb3zlX/A5l10x7hZrclM6w93j0kg5vAiHW3Sb75FFJlg1T3W26Nvrs0prEeCuBXJY0c28vjCLVIRdbGKoErq2Qby7k3hUTkUfRDXkTmFjiK5aQ3FY6MPvLHN9Whgq8q1SLbYXahn2xZNDEeCWQg9HkLITi/S71ZHSrV9tOuuaou+UArpPnvr/lGmuQR5dY5iP5b54eZ6FkVsaW2S+29apKLdThKA0fZvYK2TC1BgXWOr2IBHC+CMWQlgAIh6FIAtOC420FewEzmUrFZHRlOfo+vwybOQtrTY0AGPSCH5N0dH/tFuPEgaxLdvDn9/eKxId8e8rPHPfACVX550BYeZo+MV8leNWtAfmXMSieKKwlJoHQJeEoBubG7dIBVVcKw+QkX9wx/LPev0dsJ3KMwvl7WmQsk5KTKKU6sbaf49jMeA11Vakp1IisfFxRmq/Qad3Ll4PB6LcpkTnNq1mnT8FI9Jd2/XHDZVH4a/bt1nWvGYBQen8yXK/d1cz6KMm51tcv9th1Bs/C4JwNjwc+CslAtQ4FxCrVDywnfg4MnvDO1bNW0I5b8bTy1HNmRHgDaPDYvkDpc1gY8evYGlS8y01R/fVUk+s6NwagSXE8LHDNjGcQD/XCQL64icdNNfK4ENAioBm+mUmtjRUGVYH1WijzIj2SarQIv0ur0srzecoiOg3CAVVdSsiihE/QOS04849jPvhxaY8mH73uOQlVeukHBuHiclzT+0d9nGXbBiU61CcOGzDS88Hoz6IH2mPSqM6xsSh3+4lD+QJkem1/ca6p/+wiYo23vM1B1qzt6BXdso0dv6nKxmnRCWmaP7wKwxV9RF/Iu+p1nmTtTaurmeRQ0rFnvk/psFrei2lQRgdH0baMvkAhRo91gql/rUBqg5fMbQpm/H5lD4Gxmp5LZntV+xL72XKy/k+N/pSd1g3MAu8L8f7YMNlYeoVIl69AYVCCaNnBz70hM+NJsJKz1rF0sCkNePZv1+/fpWWEdRyIVnTFJFSG1eqWferaKqDo3RP5szZBVoHj/w9PFjw6mPMHZaNMAtAsIqAhCrnT/EWPmaxz9+9nG7ArBqW+LlLaH64CnXjwCr45Gi1fTzEttjFeBjp7+F2avKDK7AivXayDq7FAa09xrOO4y2G5XQEZCc471oPp6qa3RB+QFTG83G1q7RtDbx2sDaLwqRiGaFagZ1b0OsRs2KUSy2l/vvWPS60WZJAMp54AsCcgHyBXYhgw55fB18fdaYQr9V0wZQ/rsJQsaQQqwR0L7YqS/mCZ1b1ss7hy/Ob1d8Aa8W7YKT35JLHrh1xCjsPnR67EtL+JgdJ2LBRxKALGjZt/3xHzdA7RHjRwz7nnwtcHO8OfMHIo9lbolO/s9nQez08nrD6QZh59bGP+XJQth39BvDZIiVj0hz3yyD3LIDvtwMXq4DVnOSJR+xnc52c1+f9sRJYaTZKz+Egoovib5TCUvl+PWl6EtaR6t2+hHVSNLRDlta24LQTl3PKvYfZ4oyDYLuQdRB7r+D6BXvdZIEoPeYyxEBQC5A4Z0G1yx4Gw6dOmcwoNNljWDrozeF17CIap6R+wm8UbrP0jq7r/URhcbSLFERgOogvIVA5BFg8bPvzx/8Exat2yle8KVIXH2GKf1RXtpNtFsFKFwxPEJC1aijr785By++X6NEY9Eca2SFIGgRQ1b6W62HsZL7d3VJLWTm7WB1M3N7LwsC6cliuzlJ+/GC9p2CRFaT1kg8Is0TCfjrlVthXcVBU1+oH0HHDuhMdfRXKwQjvl+YmgStmzeGrbu/guffr1GOTasXLQ7Mk8Sig50PRY7ltix1fmAhlluf21QvMhaPo2/OjHb1cTfwlftvN1ANn0xJAIbPZ5HQWC5A4XVj34x80wTR+DCukbnKAudYfIFKzi601cvua72tgAg24Dn2hZu3nPQhcEdyrzpEzIoL0ML1/JRhcPPQ7rTNZTtKBOLn5VO2ZG+mbuDx/+8fmwAjruhQ78hSdv6nsKxot61gPNL/zOQk23aygTgErKJ1RW/mgxQxZIcgSddZo/tA1sSBdt1D/zvPs4DX6Bkp8fCf/9ijkB24hmRMSIRZY/ryiiP2M4sS69WhBUxZVmLoo74f0ObHSxtyObw49WpunUk5J7MmJsKs0exYZOZth9Ulew364JHr/5oxQjk9QUtuaoXoyVr9AE6iFnnBC9O6YmWjdn6ScI6V9Yd3Lpj1k/tvkWiGV5YkAMPru1BrLheg8LqvX2Y+mJ0obdkkDip+nxZewyKsOc3mhffLeoRhU5KBj1y0od4XfRp7F0+qTwDS5BQa0r0VlO//up74nu2aQ9EjMq8mDeasbRas3QGvFteydqNu/+LUJNh39IzhyBJGmdAWAUkb3AVenDacekzZ0BkCNOSG3YcSluO3Zh8Gghr1KToiy5mnvO2NfhqRXajk2vXiykzrD3uOnIY3SvcqxTZER5+q+f3uf2ObIVrtrftHGSKt9MQ3DTGDkXElWfzRWaLn25J3K+HZwhqD+2ak9IZHbx6s/J02Mhvbon1xcfWLoZjNDdEfDWjmXxQiAGnWYsQiqOsljZ/8aiP3334hH6xxJQEYLH/EjDZyAQqGq1k2K6ixVTRZ7/bN4IOHU4NhmNTCgIDqa1ISb7uNbSxCyhMRgDjpX/rtCEA1SgA3IMs+qIEDx7+Bu0b2lpF/Lk462shYXhUwL9qja3YYjiz9uH8nKKQs0CMjAHnR5+tnd7/bbeZZ8265RQCyPtdp0IpKVBGNrfo2dvOCRyZrH7u5RyvPLh8tvgf868hpmL+mwvLou3pM/rImDYnHovEjSNqQbrSqGdqJzAG4MH8HLC8yfvBBEm/RpYh9Wj9PulRszawYipmxfrxbsa5F3E5yqSOtL3B4p/PMJRMCK1buvwPrGk8VkwSgp3DLwVQE5ALk/1zgeUGwIjIGdW0J+XOu998wqYElAlH4OuyVi2m/Qtu99JOOAGP1zJsGX86V08grDKI8zqhF78H+42ddMbFL6ybw5YlvHcm+M7kHLJp0pSMZsjM9AlZH9e2isHjWVTdINZ7nOg1CPPbRyA1DG7c/FtBi4JRIsnue6avXY9VffXEx1NWORFTtEUHMYPXedeWfw4QhXSEloRMtVIZ2b5TugYzcCtP+aDdGPtYePgX6qEizDpgzcN74/vDk+qp6H3jM2ooibnkMd+NDAI8ePH2sco7q5YmYZzw6hrWP3H+H1XNi9ZYEoFg8pTRKBOQCRAmUS814X+bveX0rrN9hnkh5WI82sOa+FJc0lmJFIuDWJlGkjkGRpY9CGBHfHkpqv7JUT1/1FfHOzCtXjnPhZZYnMCj2xpIeQdnYkzAfndABXp95bSy5xFdbzQhANcn/8Pj29aqs6xXlIfN4n8MkkETL048Ty8+NcU/9HaoPn/JtfmKO5eemJIE6D3nIHauoKjuCWzXcjkTUArRyZrItaWdlh8j5Zne8F5/Z5y9cUI724v9cuHT0ekj3NlC295jB7+iP4fHtoGT3UeKcUIuLaPMB+zaBQjgwTa5cjOAskYVAmLwr999McEW2sSQAI+vaYBsmFyB//cOzWUGNBz+2Dk6aJQAEgJS+7WHlrJH+GiZHp0aAZwNBLTwiDZXcTzmFymZAvXCDYJcLSlv11WzDJKvXBWeC0OTH9EvbnPRBMGVEvF/Dx9y4vM9FBIqXfBNJcjjRn9bZsfjc8PtDgTbfHBJ1t17ZDd765ABzdWrSs0hLLNrNA7t0Ftr+dgU7rOY+7/1E0p9Fb5ShFl9p1awxZOSW2z7zteNi3xkpfWDWmCssPxrYYR3rv9uRtoiPLALCPkvk/psdsyj2kARgFL0aApvkAuSvk3hfrvpn5cPZ8+a6Y+Lqu8ck+GuYHF0iIBCBrLztsMqkcmDzxnFw5jtzGvCB1ASYe0P/Oi282JQLNDkmReExs2nLSwNnuzza5K1LeJ+Lqpa8ZJ4oUs2p/t6iHZ7RWPKRuWEVRpKdV8PHTQZgOWbqZI4u27iLqnq5qiJWM3705kGmkNjNVdHPTRIBaPVBDz/UYaUPK+zNjJPrtpi7wO6+kx9S+XCW+28+3KLWSxKAUfNoSOyRC5D/jsIXway8cjh/AQAfpNmXEiFbadY/Mx/Ofm/eotRBxTf/0ZAaSATqI6BE/xEqP17WpAGcIkTC6qsp2210JO7BQCB+Xn4wFNFoITeS3ruElyBRNRVF5vFarjzX11QopIU8gsiLYv1+NJFIYkYySmnZtCGcJH111TRnyQ/IOke174osdupTYWj72hF8oqsAk473v+NPoeQAACAASURBVD4zGX6xYqttLj8Wu7UnAFj6ybbGd7CROYXKHkV/qRGas8b0lbAxIiD334yARbS5JAAj6tigmyUXIP89xLNRsNok1y6e6L9RUgOJgCAErL4+9+vcAnYePG06UmpiJ3j1F8n1fnNKKggySYqxQCCIBODzU4bJStA+zFpWgsQHFYlD8nzYC5L+QdTFLhLJbZ3t0k6wRACy6sqS889MNomYNCPkkNTZcimfmx1ByGoHtie985IITt4IQDf9wWN3kPqwrq3LNtZAdkGlqQm0eSuDZH8QdJH77yB4wX8dJAHovw9iUgO5APnrdt6oJEkA+us3kaPjF/ZN1YdhVEJHWYXWBFhlg5JdCGYBr4O7tYSKAydN3YGbNYwqaBAXV1dBEWV9eKlwiF0xAZE+lrLoERjyxHr4+htCfgN6MUJbpg3uAi9OGy5UphTGjwDr5pV/JL6evM91vtFip5ffOQBbN2sIJwhrk1skiDrXj53+FmavKuNytpbQ0wuwIwDtfudSCADwveftii/g8jbNIHVAFyVHn/p8xvehv27dp0TPqri+uXWvaREQu/FZIjLtZEXld56gA7tCIJJsZZ8dcv/NjlkUe0gCMIpeDYFNcgHy10m8X1evWfAOHDr1nUH5Tpc1hq2P3uivUXJ0agT0lW3TBl8OL067mrp/rDR85t0qWFpYbTD3mvi2sLXWWBlQ39BJwvZYwTgodj74149hzbbPg6KOokd6Uld4ZvJVgdIpVpUJQxQv73M9Vn1Ka7ffBKCZnvqqwLS20LTTznUcB9MP2hW+MpObeHlLWP/g9aZD2s1VNwhAtEtb0AMJytuHda9XUOWR8f1hUPc2yse7wyfPQtrSYhrIDG2s8h9yCQx5Jx5/0t53kmxlmxxy/82GV1RbSwIwqp4NuF1yAfLXQbyRAimLC2HfsW8Myvdo2wyK56X6a5QcnQoBUm4dffEKKmERb0TapPTt2BxqDp/hsl4mruaCzfVOtJsN1xXRDHD7sK7wpzskAegl5mZj8T4vnejNE23oh55ObAxLX7+PAOtxcjO3o9Mjv1pdrXIA2s1VO4JQj4nd/WKV07e+zgBqVeRXPqiB5cW1XNMUTwKUyLzYddiRirBY5bl9o3QPZORWWOIvIwDZp6fcf7NjFsUekgCMoldDYJNcgPx3Ek9EA+kIcIcWjeGjx2QEoP9etddgWVENZOcbc6pYHdexlxrNFpm5n8Dq0n0G47q1bgIHTnzLbfSs0X0ga+JA7v6yozsIkCI+3RnNXmpCpxbw3n/8xL6hbCEUAT2ZwEpGOFWG59msjumkr1O9o9rf648Ddjn/5qQmwEOaSvMicRdNdlpFZ+lPIkxK6g5LJg9TzGH5UEkz50kEFAk7/FB3Xd8OUFR9hBteGZn2A3Q8BCDN81g7Z7gdFWMd5f47xhxOMFcSgHIe+IKAXIB8gb3eoKx5ydZu3w/3rd5mqjgWRXhnrtyo+u9Vew2Kqw/BtOWlpg3lC+sPsFht+to3bwRfnTlnDzahhSRbuaFzvePsVR9BQfkXro9DM8CEwV3gJZkDkAYqYW30ZAIeCezerjnc/8Y2JTeYerkVeWIXGUVjqMzvSoMSfRs/qwCbablyZjKkJHSiN8CkJSliTmQEoJMcgCQiUh9VSHu/sBKAjsAFABkBWB9BniPAVu+qbq/DTv0f5P5y/x1k73inmyQAvcNajqRBQC5A/k4H7SYHX9IyJiTCrDF9LZVKf6EYyvYeN20T3745/P3hsf4aJUenQoD2xZpKWIQbWUVCtGgCcJo/AFBBTUYBBnfy4Ib/ob+WQdWXp3xVUlYB9hZ+K/IDn5N4IQfoVuEFlO802pAmGspbVMM/GilqnseyJg3j4NvzPBn1fhjN6Yc6uzlCqorLam9mWiLcTXivtIsIMyOM1PG19tPeL1byWO2iad+9TVPYlDGOpmnMtLGK+DQDgTYa1en9EDMOuGSo3H/HmsfN7ZUEoJwHviAgFyBfYFcGJW1yrF7WsF/ywnfg4EljARD8bWz/jrDilyP8M0qOTI0A6UXYzv/UA0SkoVUEoN0RLRoIZBQgDUr+tfH62J+ZpVNG9ISc9KH+gRCxke3yhNltOGkKL9iNYQcpbUSTmRwnfe30iuXfrSIAMyb0g0XrdlLBM31UL3jsliHw9DufwXMbdlH10TdyGnlKM0e01VqdPOusIhXtCEC0e/bKj6Cgon40tt5+GntQFto0L7ecC3OeTjICsD5qPBGAtKRtwZwUGNi1DY+bYrKP3H/HpNsNRksCUM4DXxCQC5AvsCuD8kaA9c/Mh7Pfm+u9aNJguDO5t39GyZGpETB7qZIvq+bwXfnEejj+zXnDjw0wEogacXJDqwTYAsRLEQ4R8HrTqFc3JaE9rJw50qEVsrtKAMxfUwHnvr9AjOCjOf5oFW2iJU5YCzVoicMNnx0EO13NvEobDSVnBDsCdy0vgaLqw4aOOB/uXfUxHD1t/nFU7dC4YRz8Mzutrj/P2iIi8tRujtDcA7ToTR3RE7IJHzDsCCGWD9V2EY0oa2ROITgMvKQ1u66dfL7/ABkN4asHmPYjnIwAZJuacv/NhldUW0sCMKqeDbhdcgHyz0G0Ryv0Gl6z4B04dMr8JbdUVjvzz6GMI9ttABjFRbr50CfWwwkXCUBJnAd/+qi5Ut/79EvILTvgqcIyB6AYuGmjhPREoX50q+grO0LDyhIzAmPsgM5QffAkJHRuCZ1bNaMCgsVOKoGyUR0CCom0aAMxD+Tqklr4nw/3Qa8OzWHr7qNw4PjZur5j+3WAFdOvNaCJkYU3P1usHCu3ujBa/PkpSTA8vj31XCDJs5sjdlGwLFPCLoWB1ZFQq/cUvCf094ZV5K1Im1jsl893ZwSgrALMMtvo28r9Nz1WUW4pCcAoezfAtskFyD/n4IvS/avLoGT3V/WUwONNmzNTiS+Y1+W8BwdO/PBSq3Zu06wRfPLETf4ZJEdmQsBuA8AkLOKNSVWvRZktNwiikPRGjtfFAGamxMP8mwd5Y1yER2H96KGSCRX7j8Mf1ldZRg2qsPFEuGBf0euxXTRUhN3sumks2NIeBdfLvPXKbpC3bT9cuEQKYnQ+pue4Lak7MyFMAkRPvI1O6AhPT75SefcTGQFo9Xyzm/dWVYBffL/GcE9q8Ua7tQShQs5nFwqJ2meZZDIC8Ae0eD6QLMzfAcuLaomQi4iIZfFnVNrK/XdUPOnMDkkAOsNP9uZEQC5AnMA57GaV3Bm/MuekD4E7knuZjtI/Kx/OGk9DQtOGAFXZEx1qJrt7iQDLRsZLvYI2ltsEoNwgBM3j9vos21gD2QWV9g0FtLCLoBEwREyIsCMbrECgJXJ4CUBWcpLGYbIKMA1KfG1o5wOLdL3MVzbWwKKCSlADA5EEjIu7WIAGP9ROT+kDs8ZcwRUNSCL4tEfWRa1xVjlM7ea9Vaqa8yo7ChcL8jw8vn8dUU8q1jN75YdQUPEli1sctxVRrdmxEgESwJoiYcm7lfBsYY2pBYmXt4T/mjGC6x4IECS+qCL3377AHrhBJQEYOJfEhkJyAfLezzRfdq2OOFmRIbWLJQHovUedjejGRsaZRsHr7SYBiBu6EouI2+ChITVSEcjI/QTeKN3nOiBZExNh1mjr6uyuKxGRAdz+6MET4YLQmh0DdVLowW07IzIdAmmGmm7gvtVltseCWXNMqgZbHYdV5x1Gz01ZVuIYo1F928GqWdeZyrEj5c1+R3LP7Lh0w7g40JKC2gFVm+a+WQbF1fVPvTg20EaAXL+NALG8d05dthk21ZB9Jot/8M1guf/mwy1qvSQBGDWPhsQeuQB57yjaPCikhLoJ8/LhnInajfC4hSQAvXeoHNFVBKwSULdoHAenv7NJ3GSj3azRfSBr4kBXbZDC3UPglueKoHz/CfcGAAC5wRELL8vmk2dkbYQ9RmplW0TUo3xsn5lXXo/UUCPxZQ5AHg+Et4+WuKW1gocotvsQjO9/KzfvMVTfpdVJ265d84ZQ9vh4Ylc7slp/VDlt8OXwzqdfKsd/1YtECmoHRZv+9G4VlNYe4zGDu49cv7mhUzoOX/gOHD5JLq4jCVY+fOX+mw+3qPWSBGDUPBoSe+QC5L2j7F78UCP8qrw5Y6xpWH1iVj6Y1EOAZg0BKuURYO8dKkd0FQErwvy2YZfD/237wtH4cnPgCL5AdF67fT/ct3qbK7pgpeld8sOKK9iyCGUlDWnbK0UlTCqTIqExb0IiPLm+Sik4wRLpZXesksVu2dY7BGjezUja0FZA1c5LrDKdlVduqIqLhOJr06+BactLhRiPH4f/a9YIy0I2pPuFFCGoPe6L+j4yvr9yr2hJQa3yKkn6+P9VwDoPjwA3bRQHVQt/qPosBNAYE3Jdzrtw4MS3RKvlOxTfhJD7bz7cotZLEoBR82hI7JELkD+OsvvKPHVET8hOH2qqXJ95+XU5abQNmjUCqFwojwD741E5qlsIFFcfIm6E8Mtzdr6zPHC0Gze37JNyxSCgRHHllruSYF6mVhDjI14pdhFKdnKtyECrDwyYHkCT5gyQFNxCkS7A7lilnb7yd38QoD2dodcO58XaB1JgYNc2SvEOUtVos3k8tGcbeH5DNbxd8aVyfFYlmr8++53jZ5teT55iDbRVgHGsZRt3wYpNtQphTsoBuHDtDlheTC4o4YbnS7PIRfXcGC9qMq9e8DYcOWV27gigU8smsHX+DVEz2RN75P7bE5gDP4gkAAPvomgqKBcg//yKL4qrtuyBpYXVBiVIRQmsql92bd0ENmfKB7F/HpUju4HAsqIa040QJmTPn5MCaUuLbYfFzchP+neCwspDhrZY2fHuMTK/my2IIWigbr5//7cdUPnFSWEaSwJQGJTMgpySaXbkIcofkV1o+KiG64tZcgHagkF24zIDITu4jsDslR9xH7lFcu3GQV3qiDw92UbKpReHefM0R2nVI+tIDNI821hBYT2ubKY36rhZQ4Rr57q2OArqpidDva7gjjpkpvWHu8cksEIl219CgFR4EH/u2bYpFM0bJ7HiQEDuvzlAi2AXSQBG0KlhMEkuQP55SU00fe/qMuoog1+v/JB4fGLC4C7w0rTh/hkkR5YIuIAAacOgFu+Y8uctUH34FHHk+A7NYWH6EPh/K7bW22ipHVg3RC6YKEW6gMCCtTvgVQGRJk0aAOzMkZHVLriISqST47Q05KFZ0RBULD2pG+SVHTDoSEsAYkdZBZjKxYFoxENM2eW9QzLsuSlJMDy+vUKE0Rb0UJ9Jv/qvj6Bsr/h8eaxR72Y5MuekJsBDN/RXIh5HLtpQ79lq9Uy1iuh3ayKkDe4CL8p343rw0qZIoLkvZIQl38yV+28+3KLWSxKAUfNoSOyRC5A/jtJ+McWXSDxmhNEGdgnLr8t5Dw6cOGuq9KJJg+HO5N7+GCRHlQi4iMBdy0ugqPqwYQTcyLy6sQYKq4y/aRuTonnUNqwbIhdNlaIFIoCbnMUFn0GuCZFDO8ygrq0gf84Y2uaynWAEeKv6ohoF5Qdg9qoy03Xjur4dlb+TCEYk+vRVYGmPAKNcGQEoeCK4LI4UaW42LD5PZo7uA8uKdlNpRZMjTy8I59+9q8pMo1CpBiU04vngZUbyofjUxE5wRaeWpjhgeo7bhnU35LHOytsOq0r2OjGBua9a0OeO5F7MfaPYgWVtorkvHkjtC3NvSIwiVK7aJPffrsIbGuGSAAyNq6KlqFyAvPcn6UiF+qW4c6tmRKWu+t16+OrMedPf5Vc4730pR/QGAasog51ffu04WfrKmcmQktDJG2PkKJ4joEZbv/fpl8xkoJwbnrur3oC8BKC2ErBWoJ4AsYoS1BZpsPs4px2DJvLQX1Tl6HoEVpfUQmbeDmpgMib0g8Xrd9Y7vWHVGeedtnAGzif86Ks5/VvXHdsuuH0QZORWUOtD05AnByDKtcyTSTgqj/2QeJuR0gdmjbmijgj0IwIQdeEhPmkwDVsb1rWJJgKwfYvG8PFjN4YNCt/1lftv310QCAUkARgIN8SeEnIB8t7nTo40kSoAN4oDqF4kj6l57005olcIWH21HvrEejhhVhqbUjmMVpg1WuYBpIQr1M1e2VgDiwoqlc03RvLgUc+e7VvA2zu+MOQNTOrZFvLuHRVqe8OuPM/zklTNFf2NOT9n6XJ+Wq0tKnmMOOJRTqsPdCrWPDqH3U9h13/cU+9D9eHTrpqBkeYJnVvW5cVbXFAJuWX7642pknStmzcyjV7lURCJuOcvHUWmmb/6MWhIICu99BW04+fl85jhuI+M9CeTuVbYXDEv37a4lgxAYJ+ecv/NjlkUe0gCMIpeDYFNcgHy3kmsX+C0GvbPzIez3xt1btoAoErmqfLemXJETxEg5a15ZWM15BRUcetSMOdiBUd5xQYCpHmE0Sl/KdoFEBcHv0zpI6NCXZoOtPmncHie56VVxBLpOCCJ6GM5LqfCxaOzS1BLsRQIoL+SswspWpKbTEnuCf/94T449/0F5cMC5qjVRveZRZ7qc+fpqwk71Qm1FXH8lXSUngUw1X7sI8IulrGxrTYfIw8JyjpeUNvzrE23PbcRPtn/taVJklxl97jcf7NjFsUekgCMoldDYJNcgPxxEs+mAjUlRQA2awhQmS0jAP3xphzVbwScbOAmJXWHJZOH+W2CHF8iEBMI8Dz7tMd5aY7iPvNuFSwtrCbiiRFJmzPG1ovmM9Nr7IDOTAUOtATgso27YMWmWqU4Au/Ry5iYEAEw0oowplVv6oieMGdcv7roPjw+Pn9NhUIImvk/O/9Ty9x52D8jt9xRDkDMC506oAtV1KrWTj1BL4IARPlIEuFFWwyFFnuadmrBFqf3IsvHCxq9/GijLepCQxDPfbPMNnWG/IjK7km5/2bHLIo9JAEYRa+GwCa5APnnJJ4Xiat+9zZ8deacQen2zRvBx4/f5J8xcmSJgM8IXLPgHTh06jtLLbBy4WVNGwEevcJA2gYAkDNpCMjk4D47Tw4fEwjwRJ8gMAoBuKZCIdP0xwn1wJGq+urbaSNWSHr9+zU9YLVJwQKraBctWYnry4zR9XOgxYSjQ2akkw9Iqqn6XKFWR8eVnLY5hXAe8xCYXFb5AWmhXcz5XCMR4SKi9sYmdoLFPx3qSwSgFjfefIA8Hy9o/eVlu7lvbqt39NzuIyhN3kYZAcjuQbn/Zscsij0kARhFr4bAJrkAhcBJGhWHPrEOTnxjPAPculkD2P7EhHAZI7WVCAhEYMCj+XDGgv9Tj1fd+twmJSpDvXg3AwJVl6IkAjGBAE9uPFbSkCaaSx8BSOqDBJ7+aWsWPag6j7dgSUw4P8BGiiYA7YgimjnKC5ca9Yf9qw+eVHIO0h55Jd1rf7rjSrhv9TZeler1eyA1AZ61iM4VMgiFEFbCinUdolDBlyakfI5WEXw09wcWxfnV9T/yxaawDir332H1nFi9JQEoFk8pjRIBuQBRAhWQZv2y8uFbkyLATRoC7JRHgAPiJamGHwj0mZdveVxqRJ92yhEts+NHrJsBP+yTY0oEwo4AzyaalTQkFQDRYpelKwRC00ftP2t0H8iaONDUFaSjki9OTYK0Id3C7r7I6i+CkBud0AGevpRK4rpFGyw/Mi3bWAPZBZWu4InPsn8dOW15/NhsYLwH/m/bfsjON+qVktABiquPCNFXPYorRBinEJ6PfqzrEKdqrncjpUfA0xEP3dDfdHya+yOhYwt47zc/cV3/KA0g999R8ia/LZIA5MdO9nSAgFyAHIAnoCvrMWBS9TRZBESAM6SIUCNw9e/fhiOnjcfjVaNw4/FfM5Jh2vJSg50yf02oXS+VDxECdtFRelPMyBK7DbyS4yq3nFi50iwPGA0pg0czN2emEiOqJAEYoomoUdVplVtVFM6P6Sl9THP7IQnctkUTaNuiMeij0EWhhsVH8uekGOSb3S/ad0/MN0i6X7DvLVdeDnlln4tS0xc5TnMA8ny88MVQm0FJBdMy0/rD3WMSTHsrkc3ZhZaVgDu0aAgfPTY+iCYHVie5/w6sazxVTBKAnsItB1MRkAuQf3PhlY01dbnIaBKbW72kNmsEULlQFgHxz5tyZL8R+PEf34faI6ct1cCv3GbFAWSEjt/ek+PHEgK0H75IkXl4jPDaKzoQjzdqcwaScNWTInctL4Gi6sOG5g3j4uD8BbpCHmZHgFVSRlYZD+4MF1XkAi1EfzdoEKfkq1QvJJ/icB59f0GpyqutDkxCZcqInqb5J61QzExLhMHd29hGuWtJeHz3JOUiVIny3I/3QWnt0eA6kFIzxD5jQiLMGtOXSHRZHZtmzZ1HqZanzXg/Uth9IEFsdy2SexAWZ8r9Nwta0W0rCcDo+jbQlskFyB/3mD1M7TYKNy15H6oOmhMcV3RsDht+M9YfY+SoEoEAIDD9L1tgQ5X1MaUZKfHwanGtQVvcON1N2BQEwDSpgkQgJhEgbVatSDkz0hCfrWb1FtSj/6SPa+oz+djp76hzqZmRj3aFS2LSuQEymhQVxauifr7Rkn7a8TAiK6egilqFO5N7wKJJV4JdpBrtcXft+2jqU+9DzWHrj2vUivrckBQ9bBeZbIabXUSwz6aaDs+TA1AVNGrRe7D/+FlTuQ0BoGaxJABZfC733yxoRbetJACj69tAWyYXIO/dgy8SI7ILTTck+KKYk25elTQhIx/OEarGTUnuATmTrvTeGDmiRCAgCLxRugcycisstUkb3AUKKr40tLHKfxMQ86QaEoGYQkBbTdfKcP2GnpSvSiUNVVnafqS8WNiWJz0AbrInPlsMFzTPa3y2b7E4PhxTzg2YsVb+90NVnJu/GNUblhcZP1aZ6aPPAW1FZtHkc1PHUAnyacu3CMsB6Aee+jHV49hqgRQ70hT7k3CzygkaBFv1OjjJZTj3zTLILTtgalaPtk2heN64IJocWJ3k/juwrvFUMUkAegq3HExFQC5A3s8Fuxcw0kYh7U9/h0+/OGWqMM8mxXvL5YgSAfcQoKlURxp95cxkSEno5J5yUrJEQCJAjQApSskukg8HIG3mHx7fH/6wvkopzqDPAWj18SBrYiLMGm1+ZJBkUFbedlhVstfws0w1QD0FPG24+v9v71zgrprSP/6kkhIlkVyjKBRyKV0w1biFoWYw1PzdwvzdZsYYVO5UhpkxDAa5zCX3IUPlWkMXuqBSSX9FSUUqIXL3//y22a/9nvfsc/Y5Z599Oee7Pp/5jN6z9rp8n73W2utZz3qeaYttyOh5kdaZq7JOW29qvXbdMnC03JtP3MuO3GObmiI1Bl5evMb5975tWtTyWRnUAlDPut+Vkxd+kNV3bmKAFdiQTH+A22/eJO+1aXHrNnx8nevSuaKCF9isSLJnM0DQvDptqL9vU7dhud6Dnu1a2KhB3SLpQ6VUwv67UiRZWj9QAJbGj6eLJMAEVCS4Eh4L4nA620bhx3+YYAtXra9T8xZNN7QZlxxcQot4FAKVQaDzlU/Zh+uzhMnO0z2iAFeG/OlFZRDwOyTTRrVehg+1bFf6vBZQekY+AxXh0s/3YK7Dg1yHA5nluYqXs+6dmVUQuRztV4bk0tmL426bYtMXry258X4KahVczDXgIA3aatNGNnXID5ZX2d79QztuZVMWrrIe7VqafFFmWgi22byJLfyg7uGyuy7+8Zn59pcJbwVpTuryaP54/NwegQKnDBv7etYAL2n6fijlCrCE2/GyJ23dl9/WkXOv9i3tnlO6pk7+cTaY/Xec9JNTNwrA5MiiqlrCBBS9uPNZAKpFmQrAXBuUFhs3tFcvPST6jlAjBBJGoN8tk23m0o8KalW+iKIFFUZmCECgZAK5rJS8ARWyRfN1Kz/r3lds3Jz3atrSv/M29qfj98ratlzrq9/mPlOJ8pM9t7bHZy93LAz9Eq46Sn41ylJAz9+Pt3c//LzksnMp+c7r09beXbPe9wplsZVP91huBbHuc8eBV3mtuvcfPr5WcBLvTZR9r3nWVq37stgmJv45jfFRU5fknS8cK8ARE2oFeEnb98PISYts2Ng36sgkqKXz3lc+bWvWf13n+RaNG9irlx+aeFknqYHsv5MkjfjaggIwPvZVXTMTUPTiD2IBmHmlN5fSsPlGG9isKw6PviPUCIGEESjmKhcBQBImRJoDATPHSmnI6DlZI6Zm+vDKBOa3xmaz5tOm/o4XFtmdWYIDqdzMtdi18jv3/lm1FAFBhKbIrsP77REkK3kiJDBg5Es2ZdH3V2bLlQ7v2Mqenvd+oAjAhbTBa1Ua5HDZ753uOnx8LZ+Vsma8ZUBn5wrxKXdPs3kr1hXSrLLnzWVtWUjlusJ7dq+2da5bK8DHX078vv9bbrKRU6TmpMGPzqnx353LZ3chbYgyb6kWgHtc/qR9/EVdC8BNG21gr13JPqQQWbL/LoRW5eZFAVi5sk10z5iAohePX2RDb0sKsQBstlEDm30FJ2/RS5Iak0Yg6AbI2+60OfFOGnPaA4FyEdBm9aibptg3nmgaQSxu/II6ZG7YvVZ8fn0Y0b+jndBlhxoFwCWPzc1p5ZeLhbescjGj3MIJXDN2XuCAG4WXXt4nerbb3EYN2t+pJMjhsvJlWnv5XW1VXinCFCxjwfvlVQD2bNvC9mnTwpau+cxGz1yeNUiel6QUqgftsqVd/OickgAP6Lqd3T99qa9i1rUy7r3rlnWsJIP6ziupgWV4+PwHZ9mjM5fVlJzLOjqz+r2vesbWfPZVnVa1aNLQXr2Mm0iFiIv9dyG0KjcvCsDKlW2ie8YEFL14ilEAqpV9rp9gi1bX9QHYo+1mdu/p3aPvCDVCIGEEigkEkjYn3glDTnMgUFYCuSKa+lWcK6iHq0DUs91HTMirzBvUs4313rWVNW/SsI6fsEI7TrCuQolFkz/NQS522bKJPXN+LwdU0AMwryVstqAQ0VCvXUvv9i3t7v/6kPNeT1617gvre+PkOk1yx5LySuE/cYNAOwAAIABJREFUddEaO3LPrQryVagDgWH9OtrgR+fm7LLmjKuP2T1rvrQG9pGy2OsXMqjMf3TdBFu8pu4+pE2Lxvb8hb2DFkM+M2P/zWsgAigAeQ9iIcAEFD32fB9cfqeKp90zzcYvWFWnwX3at7S7cL4bvSCpMZEE2l481goNA5ImJ96JhE6jIFBGAn7BO/yqzGcJpfGudOLIaXlbrQOCb779LmcQB1lJ7bFtM5v97kc5r3imVVmQF1LKMwRVnCWxm+22aGLP/fZ7BWAQH4DK513vghxIR9Hvvh1b2a0D981aVSEWa+2HjrUvAn4AHLBzS3tx4ao6kX2zNeJXfdrZjeMX1vmp2sb0qX+bZhPeqLsP6d2hpd19MkFAChkr7L8LoVW5eVEAVq5sE90zJqB4xJPryoVa5HXs7Lbw0BuetwXv143U5j05jac31AqB5BA49q9TbMaS4BEdg1wpTE7vaAkEqo9AoQrAXAqdQiwA8/kZ0+/y63fvtKWBhMIV4ECYIs8UVHEWecMCVDi83+52Ytc2NTkz/dRlFpG53iVFAZgr2rb6ENRibaeLx1pdD3XZQQaNzOxGCj7ypsm+gVICiKoislwzZl5Wf6mylL7kyN0roo9RdYL9d1Skk10PCsBky6diW8cEFI9o9cGZGXXN25LMjUKuq407tGhsL2B6H48gqTVxBPJZ/3gbnEYn3okDToMgUEYCxVwBHvPaMjvnvll1WiWF3aADdrTTD9zJcezvLVtzgZIbxFcWSePmvp+3Z/mUhN4Cqs1aKC+8BGUI4g8yrOZuoPcshML07r197RG1Sho5cZENG1c3yqubyRv0yg1oc9a9M0NoTWlF5FMABi29zcVjg2YNnM9ldsfERXbtk284c4Qsg4cd09F+3mX7wOVUQsZSg4hUAoOw+sD+OyyS6S4HBWC65Zfa1jMBxSO6fL7KBh3Qxi454ofTtFwWDY0b1LP51/SNpyPUCoEEEtj7ymdszfq6jqozm3pen7Z2/sEdEtgDmgQBCGSzzNJ12yfO62lrP/vKCU7gRuj00up3y2SbufSjOgBdZZ3r2F+bd6914e0vLLK7pyx2oqGqHm30vwtJDFIwTh3SJ2t7Q6qCYkok4L4LQa6Gl1hVKI8f3nFL++vA/WrKyudeRhndoFdehWcuJbbe2w2+M/s6lBb7F6JgHMNCiJBdDgWgrky/s/ozcwMAicngwzvY6Qe2LTOVZBZfyJXsZPYgGa1i/50MOcTdChSAcUugSutnAopH8LmclKtFmYqJ+6YttiGj52VtbOOGZvOvrn0KHE+vqBUCySBwwO+fs6UffhGoMYVEwAtUIJkgAIFQCPgdfNWrZ46SzqvIcyvMd7jm5vNeBV64cp3dNektG//GB6G0O1sh1/bvVHXWQmWDWeaCC7EiL3NTchafeVMkiC9DWa49cW6PwAFtHAWgmX0dlibcp0dhWQDuMnisfRlyWxVx+NnXV9YKGJR21yFBr1T7vYB6/um579lWzTayPru24mCjiImA/XcR0CrwERSAFSjUNHSJCSgeKV0zdp7dOWmxb+V9Omxhd53cpeb342970aYt/jBr/kYNzBZcgwIwHklSaxIJ7HbZWPvsy+AtIzpncFbkhEBUBKTM6zZ8fE4n/ZkbcV3TG57jCqS37bKGumfK4ryRgMPoLwcNYVCMroxMK6foag5eU6av6CAWgCp96BEdbNhY/2vCmS3YsL7ZlwEDawRv/Q85GzWoZwtCusVSiA/AYtrqfSatwcPCsOArxjVDqbwr7Xn235Um0eL6gwKwOG48VSIBJqASARb5+B0TF9rwcQt8n868LtTlmmdt5brsGo1eu2xu95y6f5Et4TEIVB6BQq8BKcLfbw5uX3kg6BEEUk5g6OjX8gbZ8G7Ez39wpj06c3neXuva4wb/jfCbN3NIGThoCAlkRMW4VlLzln1kj81aEVGtwapp27KJjb/g++i/3nTWqJfz+q5U4JDL/v16IMW3LAaP3Wdre2DGsmANKyKXLAzfyvBlWEQxziP7XPW0rf6s3BeWzYkKnsYr/WH48MvmmiHtFpHFvm+lPMf+uxR6lfMsCsDKkWWqesIEFI+4gkRe825qcik0skUMjqdX1AqBZBAoVAFIdM5kyI1WQCCTQD53GZkbz8kLP7CBd04PBWTvDlvYf974IDQ/gJm+fUNpJIVEQuCse1+xcXPei6SuIJX4fff5RWnNLLNDq6b2xvvr8la14+ZN7MyD2trFj87Jm7eUDItDUgAec/Nkm/VuXf+fpbTN79k0fnuPnLQoq/WnrEJPPyCYT0O/q+ZptYgsx7sRpEz230EoVX4eFICVL+NE9pAJKB6x5PMxk3m62PbisZbtBka2KHDx9IhaIZAcAl2vecbeX5c/CIjbYixzkiM7WgIBL4Fch2UK1DGsX23fevnWVm/ZWmfdqL/ZqOvabu9dt8gaUbgYKQ3q2cYuOfKH4F7FlMEz8RE48qaJNnf5J/E14L81b7FxQ5tx6SFZ2xHEArDQDhQS6brQst38YSkAB975kk1euKbYZhT0nBtQpaCHYs6MBWDMAvBUz/47ObKIsyUoAOOkX8V1MwHFI/zBj862+6e/61v5kL4d7Iz/RhjL5dS84QZmbw7H/188UqTWpBIY89qygjbtnFwnVZK0qxIJeCPvZovi6+2z8u4/fHxWRZ2uJw47pmOt4Bo3PLvAbhy/MBC2vp1a2TPzajv3D/RgkZluPnEvO3KPbYp8msfiJpDPdUtU7fOzWA/qAzCqdgatJ8zv2EJ8gAZtn1+++vXq2UtDeucNgFHIfFdqm4I8jw/AIJTKn4f9d/kZp6EGFIBpkFIFtpEJKB6h/uj6/9ji1Z/5Vu5eLZCj3aGj5/g6Qa9vZotCujoRDwlqhUB5CBRyDTiNV3nKQ41SIVBeAt41LZsFX7bacwVkyLwCnO/KsLd8WQCe27ud3TxhkX2jsMJlToVcsytzUyi+CAJBI0wXUXRBj/itV0GiABdUUUSZt27WyF4c/ONQaotaRvkOD5MYLCMMBaCElTTFZigvUISFsP+OEHaCq0IBmGDhVHLTmIDike5VT8yxu6e841v5rQM6275tWlj3ERNyOmreeMN6Nu+qvvF0glohkGAChfgCGzWoi/Vst0WCe0PToiTAxqY8tLNZ8+Vzpu9EAh4xwb7JcVfXuwkv5AqwehnF9UaXJhaA5XmvoixVCp1y+8PL1Z+e7VrYqEHdsmaJWvkVFncFJTmxa5u8xQWdl4c8Otvuy3HDJm9FBWTIdXiYxGAZQa8AB2VdACqyZhBg/80r4XyDfPddBMePsIYAE1Ai3oF815SkAGzeZEM7ceS0nO3drHEDm3n5oYnoE42AQNIIBLUCHNB1OxvWb4+kNZ/2xEAgiRYbMWAoS5V+/vy03vXttHXWOoeNfd1GTno7Z3u8PjyLsYKKSgmID8CyvFaRF3rftMU2ZPS8yOtVhf07b21/Or6zb93dR4y35R99Xva2SZk965219tYHn9inX35r85Z/bOu+yOapOndTNmvS0GZelt2foffJQublYuaAYoF53fVklpHEYBm5goAcvdc2tnDlOpu77CO77qkFjvGBLKyvyXCzUCwrnqtNAAUgbwQKQN6B2AgwAcWD/rR7ptn4Bat8Kz+tZxsn8lo+C8DNGte3mZcfFk8nqBUCCSfQ+/rx9tbq/JshLHMSLsiImpdEi42Iuh5JNYUqAB3rv+HjfV1guI32KhALtQCMpOP/rWT31k1t7K8OirJK6ioTgaCHS2FXn8taPUoLwH6dW9sNx+9dq3vyvfvA9KW2XYvGjl+8d9Z8ZqNnLnfybGBmh3VsZa8u+dDe++RL23Sj+nbx4R0CW/5lfgtnXv33NiRKDrksmJO4nvjdjNCe4+8vLsl64ygX67Df72oqj/13NUnbv69YAPIexEKACSh67EE+TmSRMG1oH5swf2XO6yaN6pstGEYQkOilSI1pIJDP0tbtAxaAaZBm+duYRIuN8vc6uhoKvQIc1JLHqwAM+kx0vf6hpsYNzeZfzXodB/uw6zz0hudtwfufhl1szvKkbHprhP/7E+W7H/TwOYyrpMXMy7tdOs4++6r8fj0lsFx+AAuxXIziZfJjqYAmufyg5vN1GEXbK60O9t+VJtHi+oMCsDhuPFUiASagEgEW8XjQjzTXD2CXYeN9a9lr203tsXMOKKIVPAKByicQ1Boonx+yyidFD0UgiRYblSYZJwjIY3Mdn37Zovh6+5tNHpk8Msdu0DEfB9e2LZvY+At6xVE1dYZMII73LJ8FaZDD5bAwbNm0oU2/JP/V3TDqK2ZejuqatntYnyuaeRhK0DA4qoxi3lssAMOiX7sc9t/l4Zq2UlEApk1iFdJeJqDoBRn0I+3Ertva9Lc+tIUf+J8ye30fRd8TaoRA8gnkiiDqbT0n3MmXZRQtTJrFRhR9jroOXUN7cs4KO7xT67zBdySPIaPnmDcGiJR++nc2BWLQA7ao+6z6hvRtb2cc2C6OqqmzDASOv+0lm7Z4TRlKzl5kvgPfoN+WYTS4ScMN7PWrDw+jqEBlFDMv7zx4rJXbCFCRzBflsMoM1LkIMxVqAej6AOy965aOf8B2WzZ1rneTSifA/rt0hpVQAgrASpBiCvvABBSP0Pa9+hlb9elXJVe++FquE5UMkQIqnsBvHpxZ44soW2exAKz4V6CgDibJYqOghqcgc6ZCvn/nbexPx++VteWSw8uL19jZ9800b5g8Wd3cMqCz7dumRZ3NaJRKkEJx54oYWmhZ5I+fQNTv2hZNG9qMHFZ3USq/N9zA7P+GR/v9Wei8HJV80vQd7ueGQf4Y3cAf+h46t3c767rT5o7CT66ILnlsLkFBQp5y2H+HDDSlxaEATKng0t5sJqB4JNjpsiftky+/LanyhvXM3kzRyWNJneVhCJRAIN+1l/P6tLPzD25fQg08CgEI5CPgNw6zWbJ7LX6ylesXOTjfWM/XxnL9fm3/TvbzLtuXq3jKjYnAyImLbNi4NyKrPZcSOcp3v0WTBvbqZYdG1u9iK9I8cvGjc4p9PNBzSVcAehWn6tD+w8fXsaieOqSPPTZzmf3+yQWOL0DX8m+P7ZrZUTdNqeUfkCvBgV6LvJnYf+dFVBUZUABWhZiT10kmoHhksveVT9ua9V+XVPlGDczeuCbaE9iSGszDEIiJQD5LACxzYhIM1VYVAb+gPL/q085+41HAB/H956cAHDlpkQ0bG51CJlOA/TtvbbouJ6uZbVs0sQ5bbZLVUrGqBF/hnb1j4iIbHpES0O+9F+IoLQCbbbSBzb4iuivApbxCmk9++9Bsm/TmqlKK8X02bgVgLsvIzKvTp/RoYyMnvV2nL3qvzrt/Vq0owLIElOV1tlAquEwp/VVi/106w0ooAQVgJUgxhX1gAopHaL2vn2BvrV5fUuXNNqpvs684rKQyeBgC1UBg3Jzldta9M327im+uangL6GPcBO6YuNCGj1tQpxmZ4y+IIsPP/638Cw68c3rkXT2tZxs786C2+MeKnHwyKnSVMM2bNLS1n31V4yvtzH9Ot6fnfRBaI3MpAKO0AOyx02Z27xndQ+tXFAWJzx+enG9TFq2xL74JJ0JwvsAs5e6XV8Enhd3gwzvY6Qe2darNdpCygZllu3s0on9HG/zo3EDNxQIwEKa8mdh/50VUFRlQAFaFmJPXSSageGTSfcRztvyjL0qqvE2Lxvb8hb1LKoOHIVANBPIpAPt2amW3Dti3GlDQRwjERiCoAjCIBaCfBUoQ5WHYALAgDptoZZUX5jXUXIHf7p++JLASp1TCaQ9AJ2Xg03Pfs62abWR9dm3l4JC/0cv+Pc9WrfsyMJ769erZsH4dA13vz7TUc32cqrJs/kxdJZ5f8A2/edJ1aVLIXCjF8rn3z3Kis+dKUjIO74c7g8AvSI6M7L/DoJj+MlAApl+GqewBE1D0Yst3HTFoi4b3291O7NomaHbyQaBqCeQbc4ftvqXd9ov9qpYPHa9LoFCH8zDMTyDoFWCVlCt6dy4LlHxjPX8rC8ux8Yb1bd5VWOIXRq36crvKnjfe+9heXfyhLVmz3t79cH3W65W56OS6ejlk9Gt237SlZYe7SaP6NufKyn3nx7y2zEa/usz67LqltWnZ1BavWmdXPzHP/Lz2BAkilnkV9yd7bm2PzVpW44svm2ItX+TjXAq+E7tuZwP338F+8pcpta71KmqxdHyZar6+nbaycXPey/vuyFLwhC475M1HhvwE2H/nZ1QNOVAAVoOUE9hHJqDohZLPGiloi+L2OxK0neSDQBII7HTx2KxXX9S2Vk03tGmXHJyEZtKGBBDIt/FKQBNT2QS/67k3n7iXtdi4Uc21yXwWgPkiB3cZNj4yPuf1aWvnH9whsvqoqHIIZAZnkKXX1LdW21/GL8yqGKy/QT17aXBv32vmQ0bPtvumvVt2QNX67ZnrcCHX1ex885krMMn3iXN7OFfIv/3uOzvprhm1gm/o+u7Nnujn+QLQSKl4zF7b2OOzl9dE8D27V1u7cfzCot+RtFt+Ft3xMjzI/rsMUFNYJArAFAqtEprMBBS9FFEARs+cGiHQffiztvzj7Fd7NmvcwGZenvyIhkix/ASybdbweRQOd7+1TxtVWaW4kSe337yJnThymm+l9cxs2tA+WRUhYa2vQXvM9d+gpMgXlIDmoJET36oVrCHI1ctcV4A3b9zAXrn8UNPV11EvLba167+ynu1a2vsff+Fcg91zu+Z2xI2Tc1ok7rxFY3v2t9Xrdmbo6NfsXh8LS68CUIynLFxlPdq1tJZNG9m/Zy0LHJhIV4oVhTdX0jx50WHtA0Wf1lw5vH9Ha9a4oXPN+N6pS0pSABL8I+gozp+P/Xd+RtWQAwVgNUg5gX1kAopeKGE4Kd+tdVMb96uDom88NUIgpQR0reec+2ZlbX3cjrxTirQim+13rYqNT+nivnrMPLtr8uK8m9vHz+1R5+pa5kN+V9GiVABe2x9fWKW/FZTgRyCIjzjvs7ks1EYN6mI9222RE7Ysn4eOnmNufIwdNtvIGjdqYP/TbYeqdzcjtvsPG+97i8A9CMh0XSAFXDjhRkobJ7r6e2rPHa3xhvXtpiItANWXsb/qabu1blZaY3jaIcD+mxdBBFAA8h7EQoAJKHrsIyctCnwa6Ne6XNcNou8RNUIgHQTaDR5rX2f5Gu+8bTMbfU7PdHSCVpaVABaA5cN73G0v2vTFH+atQMrWd1Z/Zpc8NreW/yrvg13abGYP/bJuFNKofAByFS6vGMkQA4FsAUc6b9fcRp/dI1Br8H2aHVO+gBpSAK5a94X1vXFyXs6y5pSRn/dTJCmKwnyN91qi8q7ko5X7d/bfpfGrlKdRAFaKJFPWDyag6AUWhgUg146ilxs1pp/A4Edn2/3T6/pIOqHLtjai/57p7yA9CIVAphVHLp9zoVRYJYX87LbJ9vLij/L2VtZ9isypDfWV/55n07IoDevVM5s2JPs14M5XPm0f+nnsz1t7/gz7tWluD/8ymEIlf2nkgEC4BKSYeWzmu/bGik+s/z7b5rX8C7f2yiwt38GC5qx1X3yd93B/UM82ds+LS2pF25Vvv38M6mIn3z3D98AjSVTlq1BXkK97akGNb8FrjgkWCTlJ/Yi7Ley/45ZAMupHAZgMOVRdK5iAohd5qVeUTuvZxi49cvfoG06NEEg5gUKikKa8qzS/SAJYABYJLsBjna98yj5c/02AnGayNFGSb0C/pE33DptvXCt4yPj579vgR+cGqqPYTNUaBKFYXjwHgUogcNgNL9gb76/L2hXNV0fv2dpGz1qRs6uuv9PMTEOP6GAvLVptE974IBWoMn0V4ie3cLGx/y6cWSU+gQKwEqWagj4xAUUvpDsmLrLh494oqmLtid6+9oiinuUhCFQ7ATnnznZFh+t81f5m/NB/fACW713oee1z9u7aL0KvQJvPQ3ZvZU/PfT+vA/1SKz+1x/Z22VGdSi2G5yEAgZQRuHrMXLtr8pKUtTq65uIntzDW7L8L41WpuVEAVqpkE94vJqDoBTRk9Gy7b1rda4hBWsICG4QSeSDgT4DrnbwduQhgAVi+96PPHybYolXry1dBBCVj/RcBZKqAQAIJnHrPNJuwYFUCWxZ9kzItGbEALFwG7L8LZ1aJT6AArESppqBPTEDRC+maMfPszjyRELO1StZ/04Zm93kUfS+oEQLpJSBLwCkLV1mPdi2JaJdeMZat5XKk7wag0MYG/0bhoB5451SbvHB1OIXFUEqPnTaze8+oG3gkhqZQJQQgEDGBrsOetfc/+TLiWpNZ3VabNLJVn36JD8ASxMP+uwR4FfQoCsAKEmaausIEFL20xry2zM65b1bBFQ/p28HOOLBtwc/xAAQgAAEIFEaACIeF8QqSO4wAWEHqKVceXAWUiyzlQiA/gbjn5DYXj83fyCrJsf1mG9m/zuphC1euq/HBWiVdD62b7L9DQ5nqglAAplp86W08E1D0svMLRJCrJef1aWfnH9w++sZSIwQgAAEIQCAkAmndRBMJOqQXgGIgUASBJFhlp3XuKgJ33kfqm9ki/JHn5ZQrA/vvkvBVzMMoACtGlOnqCBNQ9PK6f/qSgqIUDu3bwU7H8i96QVEjBCBQlQTitjSpZOi7DB5rX+aI7BtX3+Viw69ZowZ1sZ7ttoiradQLgaomkBS/rCgAa7+G+EMtbViy/y6NX6U8jQKwUiSZsn4wAUUvsKDXoDZtVN+eu+BHtuUmG0XfSGqEQJUQQNlTJYIO2M0kWJoEbGoqsw0Z/ZrdN21potreebtmNnPpR3XatIGZDe/fyX7eZftEtZfGQKCaCCQlMjsKQBSAYY479t9h0kxvWSgA0yu7VLecCSh68V0zdp7dOWlxnYr7dmplfTu1tpcWrbbDO7XG4iB60VBjlRFA2VNlAs/T3aRYmlSyVBSAp++NkxPRxY5bb2LXHbuntWzayLqPmOA4tHeTolyOOa8nQYISISkaUc0EkjIv9/3z8/b6e59Wsyhq+r5Ns0Y2ZfCPYVECAfbfJcCroEdRAFaQMNPUFSag6KXlFwV4UM82dsmRu0ffIGqEQBUSSMqmogrRJ7bLSbE0SSygkBrWfuhY++KbkAoroBgp9QYf3sF236ZZHcf1HAYUAJKsEIiYQBLGp74ZugwbH3HPk1ndiP4d7YQuOySzcSlpFfvvlAiqzM1EAVhmwBSfnQATUPRvhp8FBBEGo5cFNVYvAZQ91St7v55nUworLxHYw31XgrrBCLPW7ZpvZI+c3SOnSw3cAYRJnLIgEC6BJIzP//3nDHty3spwO5ag0lpvuqGt+PjLnC2Sv9RpQ/vgnqhEubH/LhFghTyOArBCBJm2bjABRS8xv80PjsajlwU1Vi8BKeKPummKffPdD9f+GmxQz14c3JsP2+p9LWzkxEU2bNwbtQjwXoT/Qux66Vhb/1X45fqV2GgDswXDj4iuQmqCAAQqkkDbi8daDAbMZWVZf4N6NuyYjtZ71y3ruEPwViwr6uH98IsahjDYf4dBMf1loABMvwxT2QMmoOjFNnT0a3ZvFifoA7puZ8P67RF9g6gRAlVGwHudyO26lDzXHNMRh/9V9i5kdhfL0OhegCid6rfetJG9NASfVdFJl5ogULkEdh46zr76JoHhzItA3m6Lje2+M/avOfj0fh/J2q9f561tvx1bWLPGDW3fNi04IC2CcbZH2H+HBDLlxaAATLkA09p8JqDoJYcFYPTMqRECLoFs1zxx+M/7kev9wAKwfO/HgddNsHfWrC9fBf8t+eYT97Ij99im7PVQAQQgUB4CSbgC7O3Z7S+8abc9/5Z9/tU3tv7r9CoDp2e5zps01uV5o+Itlf13vPyTUjsKwKRIosrawQQUj8D73TLFZi5dW1N55+2a2+ize8TTGGqFQBURwMKrioRdZFeT4HC+yKan8rE7Ji6y4RnXrsPsSJMN69vrVx2Wt0g2vXkRkQECsRBI+pycbe7w/m3C/JV2yWNznUjjOlC66LD2NcGIBHTkxLfs7imL7Ztvv7P69cxO7bmj9dt7G1v72Vc1AYtU3mMz37U3VnxiGzWsb/dPX2petWP/ztvY6FnLzOPVpEZWsuRT8ubfwMyG9+c6bywvtJmx/46LfLLqRQGYLHlUTWuYgOIR9fkPzrJHZy6rqVwL95+O3yuexlArBKqIQFYLQDObilPrKnoL8ndVltpPzllhh3dqbT3bbZH/AXKUREDj8vYXFtojryyzteu/LqmszIeDBNiSgmHo6DmmW33agA/Dz1WoMqAwCBRLINuanUar7HwHDPl+z+Sn/C8vXuP82b2am/k3/bZw5TpHiej+d/MmDWspFouVC8+VRoD9d2n8KuVpFICVIsmU9YMJKHqBEQU4eubUCAEvgUwLXP3Wt+NWduvAfQAFARt451SbvHB1DQkOaKJ9KbRGPvrKu2b1zPrvva299cE6e2D6Upu9dK198kVh7veDyE6b5v2Hj7dvPeYxcgswdQiRLqOVPLVBoC4BrPbjfysKVU7G3+Lkt4D9d/JlFEULUQBGQZk66hBgAor+pRg5aZENG1s7yqRaMfSIDnb6AW2jbxA1QqCKCPgp4IXgvD7t7PyD21cRDbqaSeDQG16wBe+vqwMmiBUZNMtPQJaZUg52aL2p9dy5pWPJ8u1339mMt9fYVs02sj67trJV676wKQtXWY92LW231s3yNmrcnOV21r0z6+S7dUBn69tp67zPkwECECgfAQ7Ny8c2SMlJv34dpA9JzMP+O4lSib5NKACjZ06N+CCI5R3gYyYW7FQKAYfAjhePreUHJxNLNofYoKsOAn4BmtR7RUK84fjO1QGiynp5//QlNvjRuXV6PaJ/Rzuhyw5VRoPuQiBZBK4eM8/umry4TqNO69nGLj1y92Q1tsJaUynXr5MoFhSASZRK9G1CARg9c2pEARjbO4APwNjQU3GVE2gaHp+KAAAgAElEQVRz8dicBLD6qd4XZOjo1+zeaUuzAujaZjN78JfdqxdOBfccC8AKFi5dSz2Bw254wd7IYpXdoVVTe+o3B6W+f0nuANevyycdFIDlY5umklEApklaFdRWJqD4hClLwEKuKcXXUmqGQOUQQAFYObIMuye5LABvPnEvO3KPbcKukvISQAAfgAkQAk2AgA+BwY/Otvunv1vn1xO6bGsj+u8JtzISwAKwfHDZf5ePbZpKRgGYJmlVUFuZgCpImHQFAhDIS+CqJ+bY3VPe8c3HFeC8CCs6Q7YAMdtt1tgmXdS7ovtd7Z1zogA/Nte++fY7q79BPRt2TEf7eZftqx0L/YdA7ASw0I1XBPgALA9/9t/l4Zq2UlEApk1iFdJeJqAKESTdgAAEAhNoO3isfeOJ+Ok+eG3/Tmz6A1Os3IyyBLztPwvt0y+/sdMO2BHLv8oVda2eEemySgRNN1NFAAvd+MXF3Bi+DNh/h880jSWiAEyj1EJu8zvvvGM33XSTjR071vTfjRo1snbt2tlxxx1nZ511ljVp0iTkGs2YgEJHSoEQgEAKCHgtATdqYDbxoj625SYbpaDlNBECEIAABCBQPQQcC93Rc5yDu/r1zIb147CueqRfmT1l/12Zci20VygACyVWYfml9BswYIB99NFHWXvWvn17GzdunO20006h9pwJKFScFAYBCEAAAhCAAAQgAAEIhEgAK7QQYVJU7ATYf8cugkQ0AAVgIsQQTyNmz55t3bt3t88++8yaNm1qgwcPtl69etn69evtgQcesJEjRzoN69Chg82YMcPJE1ZiAgqLJOVAAAIQgAAEIAABCEAAAhCAAAT8CbD/5u0QARSAVfweSNn3/PPPW4MGDWzixInWrVu3WjSuv/56u/DCC52/XXnllXbZZZeFRosJKDSUFAQBCEAAAhCAAAQgAAEIQAACEPAlwP6blwMFYBW/A7Lo69Kli0PgzDPPtNtuu60OjW+//dY6duxo8+fPt80228zef/99a9iwYSjUmIBCwUghEIAABCAAAQhAAAIQgAAEIACBnATYf/OCoACs4ndg6NChNnz4cIfA1KlTrWvXrllpXHvttc7VYKVnnnnGDj744FCoMQGFgpFCIAABCEAAAhCAAAQgAAEIQAACKAB5B/IS4ApwXkSVmeHAAw+0SZMm2cYbb2xr1651rgFnSy+99JLjJ1BJV4B1FTiMhAIwDIqUAQEIQAACEIAABCAAAQhAAAIQyE2A/TdviAigAKzS92CLLbawVatW2Z577mmzZs3ypfDhhx9aixYtnN+PPfZYe+ihh0IhxgQUCkYKgQAEIAABCEAAAhCAAAQgAAEI5CTA/psXBAVglb4Dn3/+uTVu3Njp/RFHHGFjxozJSULRfz/99FPbf//9TRaBQZImmFxpxYoVNT4Ily5dattuu22QYskDAQhAAAIQgAAEIAABCEAAAhCAQAEEUAAWAKuCs2IBWMHC9evaBx98YFtuuaXz8/HHH28PPPBATgqtWrWylStXOgFB5syZE4hYvXr1AuVTJhSAgVGREQIQgAAEIAABCEAAAhCAAAQgUBABFIAF4arYzCgAK1a0/h2Twm377bd3MvziF7+wf/zjHzkpKK+eadu2rS1cuDAQMRSAgTCRCQIQgAAEIAABCEAAAhCAAAQgUFYCKADLijc1haMATI2owmtoFBaAXAEOT16UBAEIQAACEIAABCAAAQhAAAIQKJYACsBiyVXWcygAK0uegXoThQ/AfA1hAspHiN8hAAEIQAACEIAABCAAAQhAAAKlE2D/XTrDSigBBWAlSLGIPhAFuAhoPAIBCEAAAhCAAAQgAAEIQAACEEgZARSAKRNYmZqLArBMYJNe7IEHHmiTJk2yjTfe2NauXWsNGjTI2mRF/e3evbvz22WXXWZXXnllKF1jAgoFI4VAAAIQgAAEIAABCEAAAhCAAARyEmD/zQsiAigAq/Q9GDJkiI0YMcLp/dSpU61r165ZSVx77bU2ePBg57enn37aDjnkkFCIMQGFgpFCIAABCEAAAhCAAAQgAAEIQAACKAB5B/ISQAGYF1FlZpg+fXqN0u/MM8+02267rU5Hv/32W+vYsaPNnz/fmjdvbitXrrSGDRuGAgQFYCgYKQQCEIAABCAAAQhAAAIQgAAEIIACkHcgLwEUgHkRVW4G9xqwrv9OnDjRunXrVquz119/vV144YXO3y6//HK74oorQoOBAjA0lBQEAQhAAAIQgAAEIAABCEAAAhDwJcD+m5dDBFAAVvF7MHPmTOvRo4etX7/emjZtaroW3KtXL+ffDzzwgN1xxx0OnV122cVefvll22STTUKjxQQUGkoKggAEIAABCEAAAhCAAAQgAAEIoADkHchJAAVglb8gTzzxhA0cONA+/vjjrCSk/Bs7dqy1a9cuVFIoAEPFSWEQgAAEIAABCEAAAhCAAAQgAIGsBNh/82KIAApA3gNbsmSJ3XjjjY6iTxPDhhtu6Cj8jj32WDvnnHOsSZMmoVNiAgodKQVCAAIQgAAEIAABCEAAAhCAAATqEGD/zUuBApB3IDYCTECxoadiCEAAAhCAAAQgAAEIQAACEKgiAuy/q0jYObqKBSDvQSwEmIBiwU6lEIAABCAAAQhAAAIQgAAEIFBlBNh/V5nAfbqLApD3IBYCTECxYKdSCEAAAhCAAAQgAAEIQAACEKgyAuy/q0zgKAAReJIIMAElSRq0BQIQgAAEIAABCEAAAhCAAAQqlQD770qVbGH9wgKwMF7kDokAE1BIICkGAhCAAAQgAAEIQAACEIAABCCQgwD7b14PEUAByHsQCwEmoFiwUykEIAABCEAAAhCAAAQgAAEIVBkB9t9VJnCf7qIA5D2IhQATUCzYqRQCEIAABCAAAQhAAAIQgAAEqowA++8qEzgKQASeJAJMQEmSBm2BAAQgAAEIQAACEIAABCAAgUolwP67UiVbWL+wACyMF7lDIrB48WLbcccdndKmT59urVu3DqlkioEABCAAAQhAAAIQgAAEIAABCEDAJbBixQrr0qWL88+3337b2rRpA5wqJIACsAqFnoQuz5gxo2YCSkJ7aAMEIAABCEAAAhCAAAQgAAEIQKDSCcgAZ7/99qv0btK/LARQAPJaxEJgzJgxdtRRR8VSN5VCAAIQgAAEIAABCEAAAhCAAASqkcATTzxhRx55ZDV2ver7jAKw6l+BeAAsXLjQdt55Z6fyF1980bbbbrt4GkKtBRHwmo5zdbsgdLFmRm6x4i+pcmRXEr7YHkZusaEvqWLkVhK+2B5GbrGhL7liZFcywlgKQG6xYC+50qVLl1r37t2dct58801r165dyWVSQPoIoABMn8wqosU4IU2nGJEbcksngfS2mjGXTtkhN+SWTgLpbDXjLZ1yU6uRXTplh9yQWzoJ0GoRQAHIexALARaOWLCXXClyKxlhLAUgt1iwh1IpsgsFY+SFILfIkYdSIXILBWPkhSC3yJGHViGyCw1lpAUht0hxh1YZcgsNZaoLQgGYavGlt/FMQOmUHXJDbukkkN5WM+bSKTvkhtzSSSCdrWa8pVNuajWyS6fskBtySycBWi0CKAB5D2IhwMIRC/aSK0VuJSOMpQDkFgv2UCpFdqFgjLwQ5BY58lAqRG6hYIy8EOQWOfLQKkR2oaGMtCDkFinu0CpDbqGhTHVBKABTLb70Np4JKJ2yQ27ILZ0E0ttqxlw6ZYfckFs6CaSz1Yy3dMpNrUZ26ZQdckNu6SRAq0UABSDvQSwEWDhiwV5ypcitZISxFIDcYsEeSqXILhSMkReC3CJHHkqFyC0UjJEXgtwiRx5ahcguNJSRFoTcIsUdWmXILTSUqS4IBWCqxZfexjMBpVN2yA25pZNAelvNmEun7JAbcksngXS2mvGWTrmp1cgunbJDbsgtnQRotQigAOQ9iIUAC0cs2EuuFLmVjDCWApBbLNhDqRTZhYIx8kKQW+TIQ6kQuYWCMfJCkFvkyEOrENmFhjLSgpBbpLhDqwy5hYYy1QWhAEy1+Gg8BCAAAQhAAAIQgAAEIAABCEAAAhCAAARyE0AByBsCAQhAAAIQgAAEIAABCEAAAhCAAAQgAIEKJoACsIKFS9cgAAEIQAACEIAABCAAAQhAAAIQgAAEIIACkHcAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIVTAAFYAULl65BAAIQgAAEIAABCEAAAhCAAAQgAAEIQAAFIO8ABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQqmAAKwAoWLl2DAAQgAAEIQAACEIAABCAAAQhAAAIQgAAKQN4BCEAAAhCAAAQgAAEIQAACEIAABCAAAQhUMAEUgBUsXLoGAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEUgLwDEIAABCAAAQhAAAIQgAAEIAABCEAAAhCoYAIoACtYuHQNAhCAAAQgAAEIQAACEIAABCAAAQhAAAIoABP6Drzzzjt200032dixY03/3ahRI2vXrp0dd9xxdtZZZ1mTJk18W/7111/bf/7zH3vmmWds6tSp9sYbb9jatWtt4403tp122sl69+5t//u//2tt27YNpfcffPCBjRkzxqnz1VdftSVLltgXX3xhLVq0sL322sv69etn//M//2ONGzf2re/jjz+2cePG2YwZM+zll1+2ZcuWmcpdv369NW/e3HbbbTfr27evnXbaabb55puH0m4V8tRTT9kdd9xh06dPd+rbYostrEuXLnbGGWfYYYcdFrie7777zh599FF74IEHHOYrVqww/U3/a9iwoW2zzTb2y1/+0s455xxkF5hq7ozFyu5vf/ubnXLKKQW1YsCAATZq1CjGXEHUsmcuVm7e0jTGRo4caZMnT7alS5c68029evWcLJorNV8cf/zxzJUJmyslr9tuu82mTJnizJFu+vbbb531aeedd2aNC2GNE0+t+1rX9D+tq6+99pp9+eWXDnKt1T/60Y8Cj+bPPvvMbrnlFnv44Ydt4cKF9vnnn9es51qjN9poI75PQvo+CUt269atc77HvO/A4sWLHZk3aNDANtxwQ74rQ/yuDEtu+t7Xd//zzz9vs2bNsnfffdf0TS95KX311VfONyT7gXD2A2HJTTLTPKv/vfXWW85+QvsujTWlb775xlnjdtllF9a4BK5xmYvh3//+dzv55JNr/qw1rlOnTsguQbLTN8wLL7wQ6DtGe3FSbQIoABP4RmghkcLho48+ytq69u3bO8oyKfMykxadXXfd1VavXp2zZ/qYuO666+xXv/pVSQS0CZcyUYtbrqSN3b/+9S/bY489smZ77rnn7OCDD87blpYtWzqKmEMPPTRv3lwZNBlIISfln1+SElCbVVex4JdPH2ySlza3+RKyi192xSgA9d5NmzaNMZfvBc/xexhjTmWcf/759uc//zlQSxhv8Y83d9Oqg6s777wTueUhEMYal7l5yayyEAXgokWL7IgjjrAFCxYguxTJrlevXo4SKWhirixtrgxjzF122WV2zTXXOAfHQRNyi19uUtDqoL+QhNzil5ufvB555BE79thjfcchskuG7FAAFjLj1M2LArA0fqE/PXv2bOvevbvpxL1p06Y2ePBg04ecTtllXSaFm1KHDh2ckybl8SadFm633XbOn2R9d/TRR1vXrl2tVatWjkLxySeftL/85S/OCb7S7bff7li7FZv0sXLppZc6p5NHHnmkHXLIIY4CcpNNNjFtHNReWSIqybpOJ9LbbrttneqkADz11FOdvu6zzz5OH1q3bm06nVOfpDyUhZ0UjapLffdTJgbpy9ChQ2348OFO1s6dO9uFF17oWESqzVKMzpw50/lN+dRHvyTro4MOOsjefvttR1G4wQYbOG3UCe2JJ57o9OGVV16x8ePHO1ZKyC5+2elUVu+Um7Sx/cUvfuGMMclt0KBBtt9++9nFF1/sWKK6iTEX/5jT2LzooosckUhWsoZwLSIOP/xwZ9zq9N2bkFv8ctNhi9Yape23397ee+89xxpNVuFa72TR+emnnzpzu2ulhtyKl5v3kEMb044dOzpWRHPmzHFkEFQBKCsyzYWyJlTq37+/c/io7wfXIknyktWt1n9tnFjjSlvjwpKdd3Ok7zGNL31PKelWheTId2V435VhyE3fHnfddZdjKaabMzo4HzFihDPeZIGk2y/uN8mmm25qujnDeIt/vGlu1cGNxpz2W/Xr17fLL7+8Rm7a08iaU2OQb5Nw9nFhjLds+zrtwffdd19nvdSezlXG6xab1jn24KXvwcOSnbvGSV733HNPzq2/voFItQmgAEzYG+Ge2spsfOLEidatW7daLbz++usdZZXSlVdeaTox9CZ9HOh641VXXWX7779/1t7JkslVKjZr1sy5QqcPxGLSDTfcYO+//7799re/dRR82ZJ++9Of/uT8JCWfPnAyk5RmWjRzpccee8z5KHI3Iu5mo9B26wqTlJSa4DVxiLP3erKUr1Lq6Sqy5KDNT7br0loYNAHpefFTHi3y2WSnusTAVV4gu+83ioWmsGTnrTfbmJPM9Y4o6aqN6mXM9a/Z4MchNyn6dJDx4YcfOsoHHQC4Y9SdKzXOevbs6VhrehPjLb7xJhlJiaQkmWnNmTRpUq15cu7cuc56pQ2Sxt38+fMZb/2LH2+69imlqtxZ6CBQyoMrrrjC+WZQCqoA9D4j5buURrIqc9c4lXXggQc6a6nmUSnh+T75XlFa7PdJWLLT7QYdEOsdOP3002tZA+6www7mXgeWDPmuLP27Mgy56ftQSj7dqtE3Zea3iWSpg+WHHnrIGcc6cHcP2FnjilvjwpCbZOHdw2T7ppSRgBSB+n6RgtdVBiK3eOWW+S2rPaGMNpQ0Hn//+987/y2FrtZD5spkzJWSiasA1H69EGv3QvcvlZofBWCCJCurNi3wSmeeeaZz/TQz6QRXmmxtkDbbbDNH+Vao6bnKvOCCC+yPf/yjU7ws61zFWjlwyEKgTZs2js8nnTyvWbMm77Vav3ZocyjljE7bdN25mHT22Wfbrbfe6jz60ksvZVWUavPkKl/lt09Wk5lJV5FlOaYkRayUrsjOXyJJkp3bSr8xJ8vba6+91smmkyVtfhlz8Y45+TDbc889HZlo4XcX/My58vHHH3csn5Xkh1TzDXNlfHPlueeeazfffLMjD/2/5tNs8+Qll1xiw4YNc36TewtZciK34uSWbRYuVAEohfuWW27p+LHS3K150D1U9I45r3WnNtMnnXQSc2UJ3ydhyM5bhneNk0JQVp2ZCkC+K0v/riyn3LzjTe59tt56a8dSWj7JpHzn26T4b5Oo5KZ6pNh193WscaXt48KWm8rz7vukCJSyT8pcJVcByFyZnLkSBaD/fjvILygAg1CKKI/3WqomIpmSZ0tSTEhBoaTTvyC+8zLLkZ9BXdlR0iQnhWA5k/wp6BqvkhR3UuAVk9zTGX3IfvLJJwUXIas9XS+WpaSumLmWJtkK0u+6Hqory/Lzl+kLUJshWRrtuOOO9vOf/9y5quEuIsiuLtEkyc5tXbYxpwVeCmtZxuqkVkp2KYAZc/GOOa8lmcaXa+WXOVfOmzfPOSRRkhJfSn7myvjmSneelBXar3/96xrFeqbc5EP1gAMOcGTVp08fx20Ccitcbn6LYqEKwGeffdaxMFLSN4euG7puM7yy826ahgwZ4lguMVcWN1eGJTtvOd41bquttnKu32cqAF0ZI7dkyi1zrpRFtdZDfZ/o4AS5pUNuXsMLHYS5B2Ps4wreymV9oNA1LrMQfXdMmDDB+bNulciqM1MByFz5vYVksXvwMNc4FICljRsUgKXxC/VpXaXR1Sgt6t7oUZmVaEMrv0lKsjxzr/UU0hhZ/f30pz91HpEloBzrlzP95Cc/sSeeeMKpQieYsswpNElZpxNPTcpSJulku9AkqxL3Oq+flaVbpn53g4ToOSn63CSFoD6ilX73u985J0eu7OTnUP7J9LHtRgBzn0N28cvO+85kG3NSPPz4xz92ssnvh5x7I7f45SYfprIIkxJf16Q0j2SbK70WgL/5zW9MbgqYK+ObKxX18M0333QiocvqwW+NUx7lVdp7770df7HIrXC5+a2JhW6O9G1x9dVXO8Vp/tPV3myykwWSLPt1pU3zqZSFfJ8U930Sluz81jjNm+63i/cKsCtj5JZMuWXuB+RKQf48pWx/+umnGW9F7gfKPd68cpO/TclN7mTkK1xyc4032McVupPLnr/QNc5biuZD7Q1lAKDDShmY6FAymwKQ/UDx+4EwxxwKwNLGDQrA0viF+rR86K1atcq55iZfcn5JPiRcBZos61x/IIU0RtF/b7rpJucRWQP27du3kMcLyqurRLqyoL7pSpEsqoIm+eOTtZ6Uh7qG6T77z3/+0wYOHBi0mJp8XstHKQZkkeKX9LurGM1k9PDDDzvh4JWkTD3ttNMc3x5ep7E6IZFPJJmO77777k5eZGcWt+y88s425nSF7R//+IeTTcrA3r17IzdLhtxOOOEEJxiSmzLnSikjZEUmhbycpOukUo7UlZgrC5suw5orFWRJ65k2q3Ki7bfGeS08NS5dFw/IrTC5hfWB7bXa17qlceQnO41DXdGX3GQ1z/dJcd8nYcnOb42TQmLJkiVZLQD5Nil+jSu33Lz7gZUrVzqHKVrrZAkoRRLjLZnjTUYKcn304osvOr7kXDlqv6CbV8gtOXLTXu2pp55yhrL7XSk3M9kUgMyVyZgrXQWgfIPrZp/cg0nfoBuG8rcpIyftGYpxkxbOV1eyS0EBmBD5KMqXG4jiiCOOsDFjxuRsmZRLOnHX9Sr3ilvQrmhBUhhznXBooOhE2BsEI2g5QfPdcsstNX6f5H/PNXv3e94bIShbHpnRSxmYeSU3SHvkf0N+OJSkxPvZz37m+5iuLGsTpKTnZBHoJlld6rRJSQu5rAD9kja9Unq5ZSG7eGXnyinbmNOYkuWm/CRpQdGpoE5rlZBb/HLT9bVDDz3UUTYoyWJM84tkI8WDlPaK4qb57N5773V8myK3eOUmp/X3339/rekx2xqnIEkKGOUm11E6a1yQlS1/nkKtI9yr25KDFH+5vk/kTkQKYyXNq7I04/ukXn6hBMxRqOz81jgF2/FTALLGFf9d6SfGsOTm3Q/oW/MPf/hDzbenvodZ44pb48opN7+ydbtEewsFw0JuyZDbfffdZwMGDKgRmft94qcAZK5MxlzpjXTvN9522203Z7y5QR0DLrlVkQ0FYELELGsHWccpHX/88bWsXLI1URpvnQTK15WuAgRNuj53zDHHmK7JKd1444123nnnBX284Hy6OqvrXLq+527SZQ2YK/kpABXNUIo4P/96QRrnjeD05JNP2mGHHeb7mH53LSP1weXdnHotKBWRVA6ZlXSKpGjFko2UfvoA1G9SAspnmU6WkF0QSdXNE5bs3JKzjTnJTNd+leTPyg1KoH8jt2TITUpZ73V8b6t0KKBI47Lc1cKP3LL7kQ0iybDG24MPPuj4SPWmzDXOtSxbvnx5TTbXCpA1Loi08ucpVBkhq/XXX3/dmff0jZHr+0TydG8iSJYae3yf5JdJ0ByFys5vjZNldC4FIGtcUIkEyxeW3Fyrd31DKsq9rP/km1qHXnI3g9yCySNorjDkllmXDkVk/CBDgPr16/Nt4uPjPqiMsuUrRm4KEiflkNYrN7nfJ7kUgIy5UiRV99liZKfbWTLQ0D5de2uNMRk2yX3M7bffXuPjX7JSgLLtt98+3EanvDQUgAkRoAIOuC+nIsu6VxD9mqe8ekY+C+RTImiSQkNOg5Vk2vzcc8/VWDgFLSNoPl3flU8ZWeQoKYrgySefnPdxXVN59913nXzym7Fo0SJnczF69Ginv3/+859rApjkLSwjg3wayd+Gknu9068MOYOVU1glPedy078HDRpkd911V51HM2UnyxdZwCi5p0rI7vvgM4WmsGTn1pttzMnpvZzfK8mcXJaybkJuyZBbPgthKSp0xUYfFFLOI7d45SafrbqqNnPmzJqxpIMSuU7Q4ch//vMfx7/c//3f/znycg9TdFAkhSBrXKEzZfb8hX5gi7sO8GQJPWXKlJzfJzo00eGJkuZVrft8n4QjN5VSqOz81jg5ts+lAGSuLG6u9JN0WHLTfkDub+T7Wt/GOujSt7s2wErILXlyO+qoo+yqq65yXBjpaqn2C/ItJ4tNBW2RDJFb/HLTgbH2pjIwca9ou/u4XApAZBe/7KQrkP/hbElXgU8//XTHh7uSbgPpm5P0AwEUgAl5G6KwANSVOE1ssgJUlFNdHdZ1x8ykqztvv/22Lxk3wmYudDqhPProo23cuHFOtnwBN4KIQRsM+WfTwqnFNIgyMbPcsKxaFMFLVw+VtKjr2pNSNutNN2KbTip02qRri4VaRyC7769aS1GgVIr1pvtOZI45XUHUZldOgGVlKmsJbyrmxA+5hSs3WSwrsIfmMCVdAfj3v//tjEEdFNx9993ONWApnRSQQPOPAk8w3vIfvJRrrlS5UjposyqFkl/Shknrhsa2UjEWgIw3/5W0UGVE1BaAyC482fmtceWwAERu5ZfbyJEjnQN7+bRVGjFihF188cU1FfNtUtx+wE9yhc6VfuPN669YbkskQ+0BTjnlFOdbBbnFKzdXwSeLTEVidg0+ymUByFwZ/lyZTw+hwKEy5lDS4Yn8p5K+J4ACMCFvQrl9AMo/jzTg0opr0VF0o3bt2mXtvffUI1sGd/Pth06/S9GoyU5JJu9aCF1faqUgd68ayS+RLAwUFbSQFJYPQJ3gKdqhkhQNOllXyubbSpaD7lVSWR0qInIh/pGQ3fcSDkt27vuSOeYkx4suusj5Wcrds846q9arVai/FuQWrtxkSSx3AlLQuinbeNOHtSwAlXTa/te//pXxFuNc6crKq3D3DiwpaM8991zHFUWXLl2cTa4+yKXUZZ4sfI3zW/awDakAABdzSURBVA8L3dRG6QOQuTL3V0yhsvNb48L2AYjcyi83WUvrW0WW0kpyb/HHP/6Rb5P/HrjrdlCx+4Gw5kq/8Zbpy13fIu53pYK39O/fnzWuiG+TMOT2xRdfOFGZdfNAh8rDhw+v4+c2TB+AzJXlmSvz7f/lvsv10S+dhHsjL99z1fA7CsAESblcUYA1ibkfEVKY6d+a+PxSqQpALXBa6JRUryx0worC43XWWsxg1oIsSxOlUqIA33rrraaAJkpSdspqxS9ConwR/PKXv3Ty6iRXZslKQaJbIrsf3tKwZOd9771jTlZj2iDpGqIC5bgR2pS/0KhfyC18uekjTdf/lWT2L/N/v4jpsrJ98803a/Ix3gr/8CnneJMV+SOPPOLIx/Utp/GnyM1yHdGhQ4eaU1vmye9dSJSaClUiKUCWZOTOf+WKAsxcmV+yhcrOb40LMwowcotGbpoTP/74Y6cyuZ7RN6Q38W3yffCGYvYDfhIMa7x5ozerLrm0cC2Q5DbBdfXEGhf9Gue6Z2rQoIGzX9UB/xlnnOH4kNthhx0cAw/5wJXrISVFlHWDRur7pHPnzuzjQlSolTLmcs3EugUkQwElBQ/NFbAz/4xeWTlQACZInrJAmjRpknOapQ81TUzZkq7uyseOkvzZKSKtX5LjS5k1K6qpJjj5DSkliEY+XLKg0iBTUn/k+yLMCMPyzyY/bUo6sZElXiFJV9Dk20gp37Vk/X7HHXc4efWcN/DACy+84Fw/VNKJgqwR/WTnVRZec801Nb4EkV08svO+L+6Y0zsqf5NKOpV1N75uXsZc/GNOAXt0aq7Uo0cPxy+Z31ypoBMKPuFNjLfkjLdsctNa5a5NiirrWk8gt8Lk5rceFvqBLe7u5kfzn9wvZFvjdG1bilxZa2o+1caJ75Pivk/Ckl22NU5jTk7S33nnHWeDq2BK3sQaV/waV065uWXr9osOwDNv0iC3ZMot2xqnG1g6YFaStbvWPCXWuOjXuHy+pHPtK4cOHVpzqwvZRS+7Qvb8srzU96QSCsDa5FAAFvImlTmvoo7Kt4eSfLX4Ker0ge0qvrQhdhVimc2TzwkpqXRCqOtUslJzlVbl6IqUW5deeqlTtPze6brrJptsEmpV3kn7pptucq6OFZJ0PVnR03QSp1Oc+fPn+z6uyFDyHaATOyn45HvQTbJSadmypaM0kpzk38pPdooeLP9ySrIE1FVWJWQXj+y8AveOOffviuIs/5XexJg7xcER55jTIq7FXEljyr0GlW2u1GltpsNfxluyxlum3H796187UemV5CNJjrmZJwtf4/wWtEIVgPKJdOihhzrFaf776KOPsq5xkmO3bt2cfPoukcUS3yfFzZVhyc5vjZPP5/feey+rApA1rvg1rhxyU1ACN4CeDrx0BTjbTRrkliy55drHSenuGhLIx+q8efNY44rYx4Ux3kpRAMoS8F//+heyi0l2hez5vb7jR40aZQMGfG8xTMIHYKLeAa8FhJ91mvxf6fqUFFc6dZdz+2wfBfJroNN4RQ7T71JqKFR2uZI2btrAKcnppq6HeK9QhlWvTHndwCL6ICpGoem9oqzTU/k6ykzeTY3yuwE/vPlkKabIxPJXpf+Xbz8lr+wkL11HVIACWZnp5F1KRWQXr+xcOXrHnP4mpa6Uw94xxZhLxpiTsv/mm292RKfr+7oSnDne9G+dsmuc6Rq3rCUkP8Zb8sabd55UkBAduOhARb5pNf5Y48zZ9BezxmVbbwtVACoas65nS/En2Ugh666VXtnpUEtuLpS0bkp5i+zilZ1X/t41TrdAdBsk0wKQNa70NS6MMeeWIT9/WuPclO3qr35DbsmSm2SSax/nVUboW1Nug/g2iW+NyxyzmbLTTRIFblG6/PLLnWjsjLnkjTk//YJuJ3iDgMj6XYEeSd8TwAIwYW+CeyVR138VWMI9WXeb6V1A3Akpswt6yXv27OlYrUk5pQAcru+CcnRXGwM53Zd1nZRdarcCjRSSdBqjyVaWin5JH0T6MFJSFGP5+PK7Jp2rbilHdfqmyWHfffd12uu9pqxNqOTw8ssvO+XLD4T8H+VaLGSdpGvbCq7ilZ2uUMlEXEmylMLRu5ggu0LeEnMc9oYhO2+tUqi7J7EaJw8//HCtRjHmkjHmvBZJ8mGqzeyLL75Ya7xJcNmsOpkr450r3ehrsqLOXOPkkuHggw82WawryUeq6+cKuRUnt2yzaqEKQJXhvQas6zNPPPGEcw3YXeOUR/LUWnrQQQc5vnbcSO3ILl7Zed8Bd8y5f8tUALLGlb7GhTXmvOPU9f/HfqAu3bD2A2HITQYWugnUunVrp7hs+zjtMzQ/SgHvHkyyFyh+HxeG3LKV4ZWdfE6fc845tfZszJXJmCt1OCo/jFKgZ0syBNC35N///nfnZ/n+f/zxxwvbcFZ4bhSACRPwzJkzHf9WUkJpg6vNrE4g9G8p8lyfdFK0SUGVecV29erVjqJJyjElfYwrSEWupMAgxYbG1sInpYnrwF1+t3TFNleSCbz8Y3iTFHpyvqqre1JealOo/utvc+bMcRz8yueXknxo6Crgj3/846Kl543iq0lEvgtVpyz1fv/735vkoKR88jXolxQIRD7+lKSUkHWfLCekUJSM3Csc6q98JCkhu2TIzpWplA/yjanUpEkTx0cjYy6ZY07+TCdMmODIauuttzZFltVCL7np2vbbb7/tWCF5E+Mt/vGmj2hZbp900kmOVZkOchTZUnO5NrdyqaC0zz77OFGAmSdLX+N0qOZNWqsVkEtJ651cYLhJVpdadzOT1l8dkungRUlW71p7FUHR9WWl9U7/rQ9s13cqY660MReG7BYuXOgcSCrJwlbfMZKVu85pDOrf06ZNM/k0ZszFP+b+8pe/ONHQlfRNrgNk3UDRXKk1ThtaudfR+JNLH/caIuMt3vF28sknm4JKSMGnbxTNh5Kj5CajBslH+xgZSfBtEt4+Lox5MnPN8+7Bvb7BFbRFsmQPHs4evFTZaczpe0M373RLon379o77ESnY9Q2pWwmuiy99c2pf4PXjX+djpwr/gAIwgULXKfvAgQNrIn9lNlGLiT7C9dGemfJF8M3WXW3KMgdjUCwahK6GPegz2a41SQGoj9R8ScrFu+++27EYKSXJjFsfUyrLL8mqUZN9ptNlb34pPk899dSaaF752oTskiM7yUrX2+QXSR9q3lNZxtwPBJI05uTPVIcEmkOCJMZbMsabFIDZ3Cj4yRC5lS43r8/afGMl1zeAFElyH+IeKuYrC9klQ3aF+rjS1SgdrvBdme8N9/+91DGnjayrjA3aCm1qZR2P3IISq5uvVLkVsw9inkzGPJntrWEP7j+WwtoPRDXmdAVYxlO77bZb8RNEhT6JAjChgpUyTH71pOjT9SmdKGmBV7h4baZ0GpgtpVUBKMs7WWFpYy+tvXwXyppRJy66TiyHyLpme9xxx/n2vRhRyipFSr4ZM2Y4/jjkl0MnrPJxdPjhhwcuUtGO77zzTueUQX4ZpUzS/6QglKyQXTJlp6uGZ5xxhiNnWcXIIoIxl+wxp1N0mfIrIqLGrXw2ygpQHxT6rVGjRs5p4AknnMBc6bNOBJ7YPBlLmStl/aCPMG1u5Qhdlps6Xde6pjlSFu6SG/NkePNkqR/Y3ndE1utS4Mo9ghSCOjBx3Wbov5FduN8nYciuUAWgLMoUaZ3vymJmx++fKVVuxSgA5aJGPjqRW3xy095BynP979VXX3UC7WgfoCQLd32XuDcV5E6IfVw4+7hSx1uuN0Z78AsuuKDGylZ7UbkLQnbJkJ30BArsJ7damgP1TblmzRrnW0Q6A91c0O3Efv36Oa7QSFkOPr7LtEmGEgQgAAEIQAACEIAABCAAAQhAAAIQgAAEIFAxBLAArBhR0hEIQAACEIAABCAAAQhAAAIQgAAEIAABCNQlgAKQtwICEIAABCAAAQhAAAIQgAAEIAABCEAAAhVMAAVgBQuXrkEAAhCAAAQgAAEIQAACEIAABCAAAQhAAAUg7wAEIAABCEAAAhCAAAQgAAEIQAACEIAABCqYAArAChYuXYMABCAAAQhAAAIQgAAEIAABCEAAAhCAAApA3gEIQAACEIAABCAAAQhAAAIQgAAEIAABCFQwARSAFSxcugYBCEAAAhCAAAQgAAEIQAACEIAABCAAARSAvAMQgAAEIAABCEAAAhCAAAQgAAEIQAACEKhgAigAK1i4dA0CEIAABCAAAQhAAAIQgAAEIAABCEAAAigAeQcgAAEIQAACEIAABCAAAQhAAAIQgAAEIFDBBFAAVrBw6RoEIAABCEAAAhCAAAQgAAEIQAACEIAABFAA8g5AAAIQgAAEIAABCEAAAhCAAAQgAAEIQKCCCaAArGDh0jUIQAACEIAABCAAAQhAAAIQgAAEIAABCKAA5B2AAAQgAAEIQAACEIAABCAAAQhAAAIQgEAFE0ABWMHCpWsQgAAEIAABCEAAAhCAAAQgAAEIQAACEEAByDsAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIEKJoACsIKFS9cgAAEIQAACEIBANgJXXHGFXXnllc5P3333HZAgAAEIQAACEIAABCqcAArAChcw3YMABCAAAQhAoDIILF682HbccceSOyOFHwrAkjFSAAQgAAEIQAACEEgVARSAqRIXjYUABCAAAQhAoFoJoACsVsnTbwhAAAIQgAAEIFA6ARSApTOkBAhAAAIQgAAEIFB2Al999ZUtWLDAt55DDz3Uli9fbltvvbU9/fTTvvk6duxY9rZSAQQgAAEIQAACEIBAsgigAEyWPGgNBCAAAQhAAAIQKIpAmzZtbMmSJbbDDjuYrAVJEIAABCAAAQhAAAIQcAmgAORdgAAEIAABCEAAAhVAAAVgBQiRLkAAAhCAAAQgAIEyEUABWCawFAsBCEAAAhCAAASiJFCIAjBfEBC3rJNOOsn+9re/2auvvmp//OMfbeLEibZq1SrbZptt7Cc/+YkNGTLEWrZsWdPNF1980W644QabNm2arVy50sn3s5/9zC655BLbZJNNcuJQcJJHHnnE7r//fps+fbp98MEH1rhxY9t5553tqKOOsnPPPdeaN28eJVLqggAEIAABCEAAAhVDAAVgxYiSjkAAAhCAAAQgUM0EyqUA7NOnjw0aNMi+/PLLOnh32WUXe+GFF2yrrbayP/zhD3bhhReaFHmZae+993byNW3aNKuIpOzr16+fTZkyxVeErVq1sn//+9/WtWvXahYzfYcABCAAAQhAAAJFEUABWBQ2HoIABCAAAQhAAALJIlAOBeBee+1lr7/+urVr184uuOAC69Spk33yySd2991326hRoxwAAwYMsJ/+9KfWv39/23///R1Lvfbt2zuWgjfddJONGzfOyXfRRRfZtddeWwfap59+avvtt5/Nnz/fNtxwQzvllFOsb9++tt1225l+k9Xhn/70J1u9erVtttlmNnPmTMfPIQkCEIAABCAAAQhAIDgBFIDBWZETAhCAAAQgAAEIJJZAORSA6mz37t3t2WeftSZNmtTq+3HHHWcPP/yw1a9f35o1a2a9evWyBx980Pm3m7755hvr2bOnTZ061TbffHN77733rEGDBrXKkcLw5ptvdsp47rnnbN99963DWMFNunXrZitWrLCBAwfaP//5z8TKgYZBAAIQgAAEIACBJBJAAZhEqdAmCEAAAhCAAAQgUCCBcikAZQG466671mnN888/7yj9lKQcXLp0qbVo0aJOvnvuucdOPfVU5++zZ8+2PfbYoyaPrARl6ff555/bjTfeaOedd55vr//617/aWWedZQ0bNrS1a9fWUUgWiIvsEIAABCAAAQhAoKoIoACsKnHTWQhAAAIQgAAEKpVAORSAe+65p82aNSsrsjVr1jhWfUpHH320PfbYY1nzKYDIPvvs4/w2evRoO+aYY2ry3XvvvY5Fn5Ks++RL0C/NmzfPOnbs6Pysa8EHHHBApYqSfkEAAhCAAAQgAIHQCaAADB0pBUIAAhCAAAQgAIHoCZRDAXjsscfaQw89lLUz3377bc1139/97nd23XXXZc331ltvWdu2bZ3f/vGPf9gvfvGLmny/+c1v7M9//nPBsNQmtY0EAQhAAAIQgAAEIBCMAArAYJzIBQEIQAACEIAABBJNoBwKwJNOOsn+9re/+fa7Xr16zm+XX365XXHFFVnzLV682HbccUfnN10HPvnkk2vyKYDIfffdVzBXtUltI0EAAhCAAAQgAAEIBCOAAjAYJ3JBAAIQgAAEIACBRBNIowLw5z//uRM4RNF/X3nllcB8t912W2vevHng/GSEAAQgAAEIQAAC1U4ABWC1vwH0HwIQgAAEIACBiiCQRgXg2WefbbfeeqvDf/ny5da6deuKkAWdgAAEIAABCEAAAkkjgAIwaRKhPRCAAAQgAAEIQKAIAmlUAN555512+umnO73lWm8RQucRCEAAAhCAAAQgEJAACsCAoMgGAQhAAAIQgAAEkkwgjQrAZcuWOf4Bv/rqK1PE4ZdfftkaNGiQZMy0DQIQgAAEIAABCKSSAArAVIqNRkMAAhCAAAQgAIHaBNKoAFQPzjzzTLvjjjuczpx66ql2++23+yoBV65caY8//rgNGjQI8UMAAhCAAAQgAAEIFEAABWABsMgKAQhAAAIQgAAEkkogrQrAdevWWbdu3Wzu3LkO2t12283OOOMM22effaxp06a2du1amzdvnj333HM2btw469Spk2MpSIIABCAAAQhAAAIQCE4ABWBwVuSEAAQgAAEIQAACiSWQVgWggK5Zs8YGDBhgTz31VF6+vXr1sgkTJuTNRwYIQAACEIAABCAAgR8IoADkbYAABCAAAQhAAAIVQCDNCkAXvxR7o0aNssmTJ9uKFSvs888/t0033dTatm1rXbp0sSOOOMIOOeQQq1+/fgVIjC5AAAIQgAAEIACB6AigAIyONTVBAAIQgAAEIAABCEAAAhCAAAQgAAEIQCByAigAI0dOhRCAAAQgAAEIQAACEIAABCAAAQhAAAIQiI4ACsDoWFMTBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQiJ4ACMHLkVAgBCEAAAhCAAAQgAAEIQAACEIAABCAAgegIoACMjjU1QQACEIAABCAAAQhAAAIQgAAEIAABCEAgcgIoACNHToUQgAAEIAABCEAAAhCAAAQgAAEIQAACEIiOAArA6FhTEwQgAAEIQAACEIAABCAAAQhAAAIQgAAEIieAAjBy5FQIAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHoCKAAjI41NUEAAhCAAAQgAAEIQAACEIAABCAAAQhAIHICKAAjR06FEIAABCAAAQhAAAIQgAAEIAABCEAAAhCIjgAKwOhYUxMEIAABCEAAAhCAAAQgAAEIQAACEIAABCIngAIwcuRUCAEIQAACEIAABCAAAQhAAAIQgAAEIACB6AigAIyONTVBAAIQgAAEIAABCEAAAhCAAAQgAAEIQCByAigAI0dOhRCAAAQgAAEIQAACEIAABCAAAQhAAAIQiI4ACsDoWFMTBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQiJ4ACMHLkVAgBCEAAAhCAAAQgAAEIQAACEIAABCAAgegIoACMjjU1QQACEIAABCAAAQhAAAIQgAAEIAABCEAgcgIoACNHToUQgAAEIAABCEAAAhCAAAQgAAEIQAACEIiOAArA6FhTEwQgAAEIQAACEIAABCAAAQhAAAIQgAAEIieAAjBy5FQIAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHoCKAAjI41NUEAAhCAAAQgAAEIQAACEIAABCAAAQhAIHICKAAjR06FEIAABCAAAQhAAAIQgAAEIAABCEAAAhCIjgAKwOhYUxMEIAABCEAAAhCAAAQgAAEIQAACEIAABCIngAIwcuRUCAEIQAACEIAABCAAAQhAAAIQgAAEIACB6AigAIyONTVBAAIQgAAEIAABCEAAAhCAAAQgAAEIQCByAv8PCpaRBjFXHwgAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(xFilter,yFilter,s=1)\n",
    "plt.xlabel(\"Time\")\n",
    "plt.ylabel(\"Sensor Reading\")\n",
    "plt.xlim(start_date,end_date)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}