PCA exploration in Python with the MNIST database

MNIST_PCA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook describes Principal Components Analysis (PCA) and highlights it with the MNIST dataset.\n",
    "It uses Pytorch for reading the data and sklearn for the PCA."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from matplotlib import cm\n",
    "\n",
    "import torch\n",
    "# import torch.nn as nn\n",
    "# import torch.nn.functional as F\n",
    "from torchvision import datasets, transforms\n",
    "\n",
    "# if torch.cuda.is_available():\n",
    "#     device = torch.device('cuda')\n",
    "# else:\n",
    "#     device = torch.device('cpu')\n",
    "    \n",
    "# print('Using PyTorch version:', torch.__version__, ' Device:', device)\n",
    "\n",
    "# Import conditions if we are running in Jupyter vs other...\n",
    "# https://stackoverflow.com/a/39662359/394430\n",
    "def is_notebook():\n",
    "    try:\n",
    "        shell = get_ipython().__class__.__name__\n",
    "        if shell == 'ZMQInteractiveShell':\n",
    "            return True  # Jupyter notebook or qtconsole\n",
    "        elif shell == 'TerminalInteractiveShell':\n",
    "            return False  # Terminal running IPython\n",
    "        else:\n",
    "            return False  # Other type (?)\n",
    "    except NameError:\n",
    "        return False  # Probably standard Python interpreter\n",
    "\n",
    "if is_notebook():\n",
    "    from tqdm import tqdm_notebook as tqdm\n",
    "else:\n",
    "    from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction to PCA\n",
    "\"Principal component analysis (PCA) is a statistical procedure that uses an *orthogonal transformation* to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components.\" [wikipedia](https://en.wikipedia.org/wiki/Principal_component_analysis).\n",
    "\n",
    "PCA is a matrix projection of a <em>d</em>-dimensional dataset onto a <em>k</em>-dimensional subspace. It is therefore a dimensionality-reduction technique. The projection is \"optimal\" in the sense that it uses the eigenvectors vectors of the covariance or correlation matrix. These eigenvectors are orthogonal and therefore maximize an explanation of the variance in the data.\n",
    "\n",
    "Let's glean more of an understanding.\n",
    "\n",
    "**Question:** Given a plot of a 2D dataset as shown below, can you draw the first principal component? And then the second?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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nZ6ejuXl5fj5n//5eNe73hXbt2+/90ea0velL31pfPjDH27/XlMcf+5zn4snPvGJ/2vZYRa89yzuHbwjcYvaBAECBAgQIEBgJAUUvCMZi00RIECAAAECBOoT2EzB2+j8+Z//ebz85S9/QKim3P3hH/7haN5JOzY21j7Z27yb9wc/9y14m3/WFMMf+9jH2gL3Bz9Nofyc5zzn3nfkNk8Nf/azn1Xw1nermpgAAQIECBAgMFICCt6RisNmCBAgQIAAAQL1Cmym4H30ox8d//7v/35OrB/7sR+LG2+8sf3ORz/60bjuuuvOWfA2RfBNN90U11xzzVnX/drXvtYWx/d8vvWtb0Xz3t77fjzBW+89bHICBAgQIECAQB8CCt4+1F2TAAECBAgQIEDgfwlspuBt3n/bvAf3XJ9XvOIV7VO+zecd73hHvOpVrzpnwfukJz0pPv/5z583mcc85jHxb//2b+33ml/i1lxHwXteNl8gQIAAAQIECBBIJKDgTQRrWQIECBAgQIAAgc0JbKbg/chHPhI//dM/fc4LvP71r4+3vOUt7Xfe/OY3R/PXP/i57ysaXvOa18Qf//Efn3fTr3zlK9t39Daf5hUR95TI9/ygJ3jPS+gLBAgQIECAAAECQxRQ8A4R01IECBAgQIAAAQIXLrCZgrf5pWnNL08712cjRet9C96zPeX7g9d461vfGq973evav/0zP/Mz9/7iNQXvhWfvJwkQIECAAAECBC5cQMF74XZ+kgABAgQIECBAYIgCmyl4P/WpT8XTn/70oRa873vf++IlL3nJeSe64YYb7n3dw7Of/ez453/+5/v9zEaK5fv+wKc//el7y+qnPe1p9/4St/t+Z//+/XH11Ve3f+vKK6+M5q99CBAgQIAAAQIECDQCCl73AQECBAgQIECAwEgI9F3w9vUEb/M08rOe9aw2AwXvSNyKNkGAAAECBAgQyEpAwZtVXDZLgAABAgQIEChXoO+Cd6Pv4P3VX/3V+LM/+7M2iJe97GXxnve8536h/P7v/3684Q1vaP9e897f5v2/5/o07xN+/vOfr+At99Y2GQECBAgQIEAgqYCCNymvxQkQIECAAAECBDYq0HfB++QnPzk+97nPnXe7j33sY+OrX/1q+713v/vd8YpXvOJ+P/POd74zXv3qV7d/r/lnzXfO9XnTm94Ub3zjG89Z8N56663R+DQfr2g4b0S+QIAAAQIECBCoSkDBW1XchiVAgAABAgQIjK5A3wXv2NhY3Hzzzfe+6/aBpL7+9a/Hox71qHv/0Te/+c14xCMecb+vfuxjH4uf/MmfbP/eE57whPjiF794TvRmvWbd5nO2VzQcPHgwLr300vY7l19+eRw4cGB0g7QzAgQIECBAgACBTgUUvJ1yuxgBAgQIECBAgMDZBPoueJt9XXfddfEP//AP0ZS9P/hZW1uL5z73udG8M7f5nO2J3zvvvLMtYdfX19t1mvL2kY985AOO/a53vSte+cpX3vvPzlbwnjlzJubm5mIwGMTU1FScPn26/W8fAgQIECBAgAABAgpe9wABAgQIECBAgMBICPRd8E5PT8fy8nJcf/31ccMNN8S2bdvudTl69Gj80i/9Uvzd3/1d+/ea4vazn/1sW/I+0OfZz352/Mu//Ev7j37kR34kPv7xj8e+ffvu/erq6mq8/e1vj9e+9rUxOTkZTYHbfM5W8Db/rHlS+D//8z/b7/3t3/5tvOhFLxqJ3GyCAAECBAgQIECgXwEFb7/+rk6AAAECBAgQIPA9gb4L3uY9uE3peuzYsbbcfeYznxmXXHJJNE/kNk/tNk/N3vP57d/+7Wh+mdrZPl/60pfiiU98YvvEbfOZnZ1t19u7d28cOXKkLYfvuuuumJ+fjz/4gz+IV73qVe33zlXwNr+w7S1veUv7vebp3ec85znxsIc97H5P8v7Jn/yJ+4kAAQIECBAgQKAyAQVvZYEblwABAgQIECAwqgJ9F7zvf//74+EPf3i88IUvjDvuuOMBmSYmJuJ1r3tdvPnNbz4v41/8xV/Ey1/+8mhe7fBAn8suuyz+5m/+pv3nz3jGM85b8B4/frx9p++3vvWts167eS2EDwECBAgQIECAQF0CCt668jYtAQIECBAgQGBkBUah4H3xi18chw4dive85z3xkY98JPbv3x+nTp1q36nbPIH7K7/yK/GYxzxmw4bf+MY34k//9E/bJ4Cb0nhmZqb9JW4veMEL2lc+POQhD4lPf/rTGyp4m4s2e2ne2/uJT3wiml/w1jxtvLKycu9+FLwbjsYXCRAgQIAAAQLFCCh4i4nSIAQIECBAgAABApsVaArdD37wg+2PNU/wNn/tQ4AAAQIECBAgQCAnAQVvTmnZKwECBAgQIECAwFAFFLxD5bQYAQIECBAgQIBADwIK3h7QXZIAAQIECBAgQGA0BBS8o5GDXRAgQIAAAQIECFy4gIL3wu38JAECBAgQIECAQOYCCt7MA7R9AgQIECBAgACBUPC6CQgQIECAAAECBKoVUPBWG73BCRAgQIAAAQLFCCh4i4nSIAQIECBAgAABApsVUPBuVsz3CRAgQIAAAQIERk1AwTtqidgPAQIECBAgQIBAZwIK3s6oXYgAAQIECBAgQCCRgII3EaxlCRAgQIAAAQIECBAgQIAAAQIECBAgkFpAwZta2PoECBAgQIAAAQIECBAgQIAAAQIECBBIJKDgTQRrWQIECBAgQIAAAQIECBAgQIAAAQIECKQWUPCmFrY+AQIECBAgQIAAAQIECBAgQIAAAQIEEgkoeBPBWpYAAQIECBAgQIAAAQIECBAgQIAAAQKpBRS8qYWtT4AAAQIECBAgQIAAAQIECBAgQIAAgUQCCt5EsJYlQIAAAQIECBAgQIAAAQIECBAgQIBAagEFb2ph6xMgQIAAAQIECBAgQIAAAQIECBAgQCCRgII3Eaxl0wksLS3F1772tfYCu3fvjsnJyXQXszIBAgQIECBAgAABAgQIECBAoCOB1dXVOHToUHu1Rz/60TEzM9PRlV0mZwEFb87pVbr3L3/5y/H4xz++0umNTYAAAQIECBAgQIAAAQIECNQgcOONN8bjHve4GkY144MUUPA+SEA/3r2Agrd7c1ckQIAAAQIECBAgQIAAAQIEuhVQ8HbrnfPVFLw5p1fp3vfv3x9XX311O31z2F122WWVShibAAECBAgQIECAAAECBAgQKEngjjvuuPdPLd9yyy1x1VVXlTSeWRIJKHgTwVo2ncDtt98eD33oQ9sL3HbbbbFv3750F7MyAQIECBAgQIAAAQIECBAgQKAjAZ1HR9CFXUbBW1igNYzjsKshZTMSIECAAAECBAgQIECAAIH6BHQe9WU+jIkVvMNQtEanAg67TrldjAABAgQIECBAgAABAgQIEOhIQOfREXRhl1HwFhZoDeM47GpI2YwECBAgQIAAAQIECBAgQKA+AZ1HfZkPY2IF7zAUrdGpgMOuU24XI0CAAAECBAgQIECAAAECBDoS0Hl0BF3YZRS8hQVawzgOuxpSNiMBAgQIECBAgAABAgQIEKhPQOdRX+bDmFjBOwxFa3Qq4LDrlNvFCBAgQIAAAQIECBAgQIAAgY4EdB4dQRd2GQVvYYHWMI7DroaUzUiAAAECBAgQIECAAAECBOoT0HnUl/kwJlbwDkPRGp0KOOw65XYxAgQIECBAgAABAgQIECBAoCMBnUdH0IVdRsFbWKA1jOOwqyFlMxIgQIAAAQIECBAgQIAAgfoEdB71ZT6MiRW8w1C0RqcCDrtOuV2MAAECBAgQIECAAAECBAgQ6EhA59ERdGGXUfAWFmgN4zjsakjZjAQIECBAgAABAgQIECBAoD4BnUd9mQ9jYgXvMBSt0amAw65TbhcjQIAAAQIECBAgQIAAAQIEOhLQeXQEXdhlFLyFBVrDOA67GlI2IwECBAgQIECAAAECBAgQqE9A51Ff5sOYWME7DEVrdCrgsOuU28UIECBAgAABAgQIECBAgACBjgR0Hh1BF3YZBW9hgdYwjsOuhpTNSIAAAQIECBAgQIAAAQIE6hPQedSX+TAmVvAOQ9EanQo47DrldjECBAgQIECAAAECBAgQIECgIwGdR0fQhV1GwVtYoDWM47CrIWUzEiBAgAABAgQIECBAgACB+gR0HvVlPoyJFbzDULRGpwIOu065XYwAAQIECBAgQIAAAQIECBDoSEDn0RF0YZdR8BYWaA3jOOxqSNmMBAgQIECAAAECBAgQIECgPgGdR32ZD2NiBe8wFK3RqYDDrlNuFyNAgAABAgQIECBAgAABAgQ6EtB5dARd2GUUvIUFWsM4DrsaUjYjAQIECBAgQIAAAQIECBCoT0DnUV/mw5hYwTsMRWt0KuCw65TbxQgQIECAAAECBAgQIECAAIGOBHQeHUEXdhkFb2GB1jCOw66GlM1IgAABAgQIECBAgAABAgTqE9B51Jf5MCZW8A5D0RqdCjjsOuV2MQIECBAgQIAAAQIECBAgQKAjAZ1HR9CFXUbBW1igNYzjsKshZTMSIECAAAECBAgQIECAAIH6BHQe9WU+jIkVvMNQtEanAg67TrldjAABAgQIECBAgAABAgQIEOhIQOfREXRhl1HwFhZoDeM47GpI2YwECBAgQIAAAQIECBAgQKA+AZ1HfZkPY2IF7zAUrdGpgMOuU24XI0CAAAECBAgQIECAAAECBDoS0Hl0BF3YZRS8hQVawzgOuxpSNiMBAgQIECBAgAABAgQIEKhPQOdRX+bDmFjBOwxFa3Qq4LDrlNvFCBAgQIAAAQIECBAgQIAAgY4EdB4dQRd2GQVvYYHWMI7DroaUzUiAAAECBAgQIECAAAECBOoT0HnUl/kwJlbwDkPRGp0KOOw65XYxAgQIECBAgAABAgQIECBAoCMBnUdH0IVdRsFbWKA1jOOwqyFlMxIgQIAAAQIECBAgQIAAgfoEdB71ZT6MiRW8w1C0RqcCDrtOuV2MAAECBAgQIECAAAECBAgQ6EhA59ERdGGXUfAWFmgN4zjsakjZjAQIECBAgAABAgQIECBAoD4BnUd9mQ9jYgXvMBSt0amAw65TbhcjQIAAAQIECBAgQIAAAQIEOhLQeXQEXdhlFLyFBVrDOA67GlI2IwECBAgQIECAAAECBAgQqE9A51Ff5sOYWME7DEVrdCrgsOuU28UIECBAgAABAgQIECBAgACBjgR0Hh1BF3YZBW9hgdYwjsOuhpTNSIAAAQIECBAgQIAAAQIE6hPQedSX+TAmVvAOQ9EanQo47DrldjECBAgQIECAAAECBAgQIECgIwGdR0fQhV1GwVtYoDWM47CrIWUzEiBAgAABAgQIECBAgACB+gR0HvVlPoyJFbzDULRGpwIOu065XYwAAQIECBAgQIAAAQIECBDoSEDn0RF0YZdR8BYWaA3jOOxqSNmMBAgQIECAAAECBAgQIECgPgGdR32ZD2NiBe8wFK3RqYDDrlNuFyNAgAABAgQIECBAgAABAgQ6EtB5dARd2GUUvIUFWsM4DrsaUjYjAQIECBAgQIAAAQIECBCoT0DnUV/mw5hYwTsMRWt0KuCw65TbxQgQIECAAAECBAgQIECAAIGOBHQeHUEXdhkFb2GB1jCOw66GlM1IgAABAgQIECBAgAABAgTqE9B51Jf5MCZW8A5D0RqdCjjsOuV2MQIECBAgQIAAAQIECBAgQKAjAZ1HR9CFXUbBW1igNYzjsKshZTMSIECAAAECBAgQIECAAIH6BHQe9WU+jIkVvMNQtEanAg67TrldjAABAgQIECBAgAABAgQIEOhIQOfREXRhl1HwFhZoDeM47GpI2YwECBAgQIAAAQIECBAgQKA+AZ1HfZkPY2IF7zAUrdGpgMOuU24XI0CAAAECBAgQIECAAAECBDoS0Hl0BF3YZRS8hQVawzgOuxpSNiMBAgQIECBAgAABAgQIEKhPQOdRX+bDmFjBOwxFa3Qq4LDrlNvFCBAgQIAAAQIECBAgQIAAgY4EdB4dQRd2Ga0WvewAACAASURBVAVvYYHWMI7DroaUzUiAAAECBAgQIECAAAECBOoT0HnUl/kwJlbwDkPRGp0KOOw65XYxAgQIECBAgAABAgQIECBAoCMBnUdH0IVdRsFbWKA1jOOwqyFlMxIgQIAAAQIECBAgQIAAgfoEdB71ZT6MiRW8w1C0RqcCDrtOuV2MAAECBAgQIECAAAECBAgQ6EhA59ERdGGXUfAWFmgN4zjsakjZjAQIECBAgAABAgQIECBAoD4BnUd9mQ9jYgXvMBSt0amAw65TbhcjQIAAAQIECBAgQIAAAQIEOhLQeXQEXdhlFLyFBVrDOA67GlI2IwECBAgQIECAAAECBAgQqE9A51Ff5sOYWME7DEVrdCrgsOuU28UIECBAgAABAgQIECBAgACBjgR0Hh1BF3YZBW9hgdYwjsOuhpTNSIAAAQIECBAgQIAAAQIE6hPQedSX+TAmVvAOQ9EanQo47DrldjECBAgQIECAAAECBAgQIECgIwGdR0fQhV1GwVtYoDWM47CrIWUzEiBAgAABAgQIECBAgACB+gR0HvVlPoyJFbzDULRGpwIOu065XYwAAQIECBAgQIAAAQIECBDoSEDn0RF0YZdR8BYWaA3jOOxqSNmMBAgQIECAAAECBAgQIECgPgGdR32ZD2NiBe8wFK3RqYDDrlNuFyNAgAABAgQIECBAgAABAgQ6EtB5dARd2GUUvIUFWsM4DrsaUjYjAQIECBAgQIAAAQIECBCoT0DnUV/mw5hYwTsMRWt0KuCw65TbxQgQIECAAAECBAgQIECAAIGOBHQeHUEXdhkFb2GB1jCOw66GlM1IgAABAgQIECBAgAABAgTqE9B51Jf5MCZW8A5D0RqdCjjsOuV2MQIECBAgQIAAAQIECBAgQKAjAZ1HR9CFXUbBW1igNYzjsKshZTMSIECAAAECBAgQIECAAIH6BHQe9WU+jIkVvMNQtEanAg67TrldjAABAgQIECBAgAABAgQIEOhIQOfREXRhl1HwFhZoDeM47GpI2YwECBAgQIAAAQIECBAgQKA+AZ1HfZkPY2IF7zAUrdGpgMOuU24XI0CAAAECBAgQIECAAAECBDoS0Hl0BF3YZRS8hQVawzgOuxpSNiMBAgQIECBAgAABAgQIEKhPQOdRX+bDmFjBOwxFa3Qq4LDrlNvFCBAgQIAAAQIECBAgQIAAgY4EdB4dQRd2GQVvYYHWMI7DroaUzUiAAAECBAgQIECAAAECBOoT0HnUl/kwJlbwDkOxsjW+8pWvxD/+4z/G5z//+fjGN74Rhw4diqmpqbj88svjSU96UrzkJS+JJz/5yclUHHbJaC1MgAABAgQIECBAgAABAgQI9Cig8+gRP+NLK3gzDq+PrT/1qU+Nz33uc+e99PXXXx/vfe97Y3p6+rzf3ewXHHabFfN9AgQIECBAgAABAgQIECBAIAcBnUcOKY3eHhW8o5fJSO/oYQ97WNx8883t07ovetGL4ilPeUpcccUVsba2Fl/84hfjbW97Wxw4cKCd4ed+7ufir//6r4c+j8Nu6KQWJECAAAECBAgQIECAAAECBEZAQOcxAiFkuAUFb4ah9bnln/iJn4jm6dwXvOAFMTEx8b+2cvfdd7evafiv//qv9p995jOfieap32F+HHbD1LQWAQIECBAgQIAAAQIECBAgMCoCOo9RSSKvfSh488ori91+/OMfj+uuu67d66te9ap4xzveMdR9O+yGymkxAgQIECBAgAABAgQIECBAYEQEdB4jEkRm21DwZhZYDts9ffp0zM/Pt1t93vOeF5/4xCeGum2H3VA5LUaAAAECBAgQIECAAAECBAiMiIDOY0SCyGwbCt7MAsthu0eOHIldu3a1W22e5P3oRz861G077IbKaTECBAgQIECAAAECBAgQIEBgRAR0HiMSRGbbUPBmFlgO2/3IRz4Sz3/+89ut/uZv/ma89a1vHeq2HXZD5bQYAQIECBAgQIAAAQIECBAgMCICOo8RCSKzbSh4Mwts1Lc7GAzix3/8x+PGG29st/qVr3wlHvvYx25q281hdq7PHXfcEY9//OPbr9x2222xb9++Ta3vywQIECBAgAABAgQIECBAgACBURRQ8I5iKqO/JwXv6GeU1Q7f9ra3xWte85p2z81TvB/60Ic2vf+xsbEN/4yCd8NUvkiAAAECBAgQIECAAAECBAiMuICCd8QDGtHtKXhHNJgct/WZz3wmnv3sZ8fq6mpccskl8bWvfa39781+FLybFfN9AgQIECBAgAABAgQIECBAoAQBBW8JKXY/g4K3e/Mir/j1r389nvKUp8TRo0djZmYm/umf/ime+tSnXtCsXtFwQWx+iAABAgQIECBAgAABAgQIEMhcQMGbeYA9bV/B2xN8SZe95ZZb4slPfnJ85zvfiYmJifa1DD/1Uz+VbESHXTJaCxMgQIAAAQIECBAgQIAAAQI9Cug8esTP+NIK3ozDG4WtN6Vu8+Tu//zP/0TzaoUPfOADcf311yfdmsMuKa/FCRAgQIAAAQIECBAgQIAAgZ4EdB49wWd+WQVv5gH2uf277747nva0p8U3vvGNdhs33HBDvPKVr0y+JYddcmIXIECAAAECBAgQIECAAAECBHoQ0Hn0gF7AJRW8BYTYxwjHjx+PZz7zmfHVr361vfwf/uEfxmtf+9pOtuKw64TZRQgQIECAAAECBAgQIECAAIGOBXQeHYMXcjkFbyFBdjnGwsJCPPe5z40vfOEL7WVf//rXx5vf/ObOtuCw64zahQgQIECAAAECBAgQIECAAIEOBXQeHWIXdCkFb0FhdjHK8vJyXHfddfHJT36yvdyv/dqvxf/7f/+vi0vfew2HXafcLkaAAAECBAgQIECAAAECBAh0JKDz6Ai6sMsoeAsLNPU4L3jBC+LDH/5we5nmFQ1Nudv8crWzfaanp+PhD3/4ULflsBsqp8UIECBAgAABAgQIECBAgACBERHQeYxIEJltQ8GbWWB9b/dcZe4D7e3KK6+M/fv3D3XbDruhclqMAAECBAgQIECAAAECBAgQGBEBnceIBJHZNhS8mQXW93YVvH0n4PoECBAgQIAAAQIECBAgQIBAqQIK3lKTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1BAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/paPYGAwy4BqiUJECBAgAABAgQIECBAgACB3gV0Hr1HkOUGFLxZxlb3ph12dedvegIECBAgQIAAAQIECBAgUKqAzqPUZNPOpeBN62v1X9z13wAAIABJREFUBAIOuwSoliRAgAABAgQIECBAgAABAgR6F9B59B5BlhtQ8GYZW92bdtjVnb/pCRAgQIAAAQIECBAgQIBAqQI6j1KTTTuXgjetr9UTCDjsEqBakgABAgQIECBAgAABAgQIEOhdQOfRewRZbkDBm2VsdW/aYVd3/qYnQIAAAQIECBAgQIAAAQKlCug8Sk027VwK3rS+Vk8g4LBLgGpJAgQIECBAgAABAgQIECBAoHcBnUfvEWS5AQVvlrHVvWmHXd35m54AAQIECBAgQIAAAQIECJQqoPMoNdm0cyl40/oWufpdd90VN954Y/ufL3/5y+1/Dh8+3M76C7/wC/GBD3wg6dwOu6S8FidAgAABAgQIECBAgAABAgR6EtB59ASf+WUVvJkH2Mf2x8bGznpZBW8fibgmAQIECBAgQIAAAQIECBAgUIKAgreEFLufQcHbvXn2V7xvwXvFFVfEIx7xiPjkJz/ZzqXgzT5eAxAgQIAAAQIECBAgQIAAAQI9CSh4e4LP/LIK3swD7GP7b3zjG+Nxj3tc+589e/bE/v374+qrr1bw9hGGaxIgQIAAAQIECBAgQIAAAQLFCCh4i4my00EUvJ1yl3kxBW+ZuZqKAAECBAgQIECAAAECBAgQ6FZAwdutdylXU/CWkmSPcyh4e8R3aQIECBAgQIAAAQIECBAgQKAYAQVvMVF2OoiCt1PuMi+m4C0zV1MRIECAAAECBAgQIECAAAEC3QooeLv1LuVqCt5SkuxxDgVvj/guTYAAAQIECBAgQIAAAQIECBQjoOAtJspOB1Hwdspd5sWGXfA2h9m5PnfccUc8/vGPb79y2223xb59+8qENRUBAgQIECBAgAABAgQIECBQlYCCt6q4hzasgndolPUuNOyCd2xsbMOYCt4NU/kiAQIECBAgQIAAAQIECBAgMOICCt4RD2hEt6fgHdFgctqWgjentOyVAAECBAgQIECAAAECBAgQGFUBBe+oJjPa+1LwjnY+Wexu2AWvVzRkEbtNEiBAgAABAgQIECBAgAABAkMWUPAOGbSS5RS8lQSdcsxhF7zn26vD7nxC/jkBAgQIECBAgAABAgQIECCQo4DOI8fU+t+zgrf/DLLfgYI3+wgNQIAAAQIECBAgQIAAAQIECIyAgIJ3BELIcAsK3gxDG7UtK3hHLRH7IUCAAAECBAgQIECAAAECBHIUUPDmmFr/e1bw9p9B9jtQ8GYfoQEIECBAgAABAgQIECBAgACBERBQ8I5ACBluQcGbYWijtmUF76glYj8ECBAgQIAAAQIECBAgQIDA+QTWBuuxsjaIwfp6jI+NxdTEeEyMj53vx5L+cwVvUt5iF1fwFhttd4MpeLuzdiUCBAgQIECAAAECBAgQIEDgwQmcOrMaR04tx4mllVhf//5aY2MR22em4uL56ZjfMvngLnKBP63gvUC4yn9MwVv5DXAh43/+85+P//7v/773R+++++74jd/4jfavn/SkJ8VLX/rS+y374he/+EIuc9afcdgNldNiBAgQIECAAAECBAgQIECgCoHF5bW4/ehCLK0M4szqWlvwnlkdxGCwHuPjY7FlcrwteLdMTsTM1Hjs2zkXs9MTndroPDrlLuZiCt5iouxukKaw/eAHP7jhC67f91+Hbfinzv5Fh90QEC1BgAABAgQIECBAgAABAgQqEji5tBK3Hl6IxZXVOHxqORaXB+3rGOamJ9rXMzSvaVhYXovmtQ2z0+Oxa346Zqcm48pdc7FtZqozKZ1HZ9RFXUjBW1Sc3Qyj4O3G2VUIECBAgAABAgQIECBAgACBBy/QPLl786FT0bya4c7jSzE9MR4756Zj65aJGGvey/C9T/OA2ukza3F0YTmW1wZx6UUz7asartk939mTvAreB593jSsoeGtMPfOZHXaZB2j7BAgQIECAAAECBAgQIECgQ4GbDp6MY4vLceDoUvvE7p7tM+1Tu2f7NE/zHjyx1D7Ru3fnTOyYnY5r92zrZMc6j06Yi7uIgre4SMsfyGFXfsYmJECAAAECBAgQIECAAAECwxBontq95dDpOHBsIQaDiL07Z89Z7t5zzabkPXB0McbHI/bumIurd2/t5Bev6TyGkXp9ayh468s8+4kddtlHaAACBAgQIECAAAECBAgQINCJwLcPL8RdJ5fitiOLcen2mZifmdzwdZv39h48cSYeevFsXLJtJq7YNbfhn73QL+o8LlSu7p9T8Nadf5bTO+yyjM2mCRAgQIAAAQIECBAgQIBApwLNL0z75h0n2oL31NJaXLVr7n7v3D3fZpp38u4/fLothZuC95GXbW9/MVvKj84jpW65ayt4y8222MkcdsVGazACBAgQIECAAAECBAgQIDA0gaWVtbjp4Km4/dhCTI2Pt+/e3eyneRfvymAQ+3bMxbV75mNmamKzS2zq+zqPTXH58vcEFLxuhewEHHbZRWbDBAgQIECAAAECBAgQIECgc4GF5dW4+a7T8e0jp2N2ajJ2b9uy6T00T/82RfEVF2+Nay7ZGnPTG3/Fw6YvFhE6jwtR8zMKXvdAdgIOu+wis2ECBAgQIECAAAECBAgQINC5gCd4Oyd3wZ4EFLw9wbvshQsoeC/czk8SIECAAAECBAgQIECAAIFaBLyDt5akzangdQ9kJ6DgzS4yGyZAgAABAgQIECBAgAABAr0IfPvwQvtL1m47shiXbp9pf2HaRj8nl1bi4Ikz8dCLZ9tfsnbFrrmN/ugFf0/nccF0Vf+ggrfq+PMc3mGXZ252TYAAAQIECBAgQIAAAQIEuhY4dWY1bjl0Og4cW4jBIGLvztkYHxs77zYG6+tx4OhijI9H7N0xF1fv3hrzWzZeDp/3Amf5gs7jQuXq/jkFb935Zzm9wy7L2GyaAAECBAgQIECAAAECBAj0InDTwZNxbHE5DhxdirnpidizfeacJW9T7h48sRQLy2uxd+dM7Jidjmv3bOtk7zqPTpiLu4iCt7hIyx/IYVd+xiYkQIAAAQIECBAgQIAAAQLDElhcXoubD52K5mneO48vxfTEeOycm46tWyZi7D5P866vr7ffObawEstrg7j0opn2qd1rds/H7PTEsLZzznV0Hp0wF3cRBW9xkZY/kMOu/IxNSIAAAQIECBAgQIAAAQIEhinQvE/31sMLsbiyGodPLcfi8iAmxsfaJ3qbjnd9PWJheTXWBhGz0+Oxa346Zqcm48pdc7FtZmqYW1HwdqZZz4UUvPVkXcykCt5iojQIAQIECBAgQIAAAQIECBDoTKB5kvf2owuxtDKIM6trcWJpJc6sDmIwWI/x8bHYMjke22emYsvkRMxMjce+nXOdPbl7D4LOo7PboagLKXiLirOOYRx2deRsSgIECBAgQIAAAQIECBAgkEKgeQ3DkVPLbcHbPLl7z6d5krcpeC+en+7kF6o90Gw6jxSJl7+mgrf8jIub0GFXXKQGIkCAAAECBAgQIECAAAECnQusDdZjZW0QzS9VGx8bi6mJ8fa1DX1+dB596ud7bQVvvtlVu3OHXbXRG5wAAQIECBAgQIAAAQIECBQtoPMoOt5kwyl4k9FaOJWAwy6VrHUJECBAgAABAgQIECBAgACBPgV0Hn3q53ttBW++2VW7c4ddtdEbnAABAgQIECBAgAABAgQIFC2g8yg63mTDKXiT0Vo4lYDDLpWsdQkQIECAAAECBAgQIECAAIE+BXQeferne20Fb77ZVbtzh1210RucAAECBAgQIECAAAECBAgULaDzKDreZMMpeJPRWjiVgMMulax1CRAgQIAAAQIECBAgQIAAgT4FdB596ud7bQVvvtlVu3OHXbXRG5wAAQIECBAgQIAAAQIECBQtoPMoOt5kwyl4k9FaOJWAwy6VrHUJECBAgAABAgQIECBAgACBPgV0Hn3q53ttBW++2VW7c4ddtdEbnAABAgQIECBAgAABAgQIFC2g8yg63mTDKXiT0Vo4lYDDLpWsdQkQIECAAAECBAgQIECAAIE+BXQeferne20Fb77ZVbtzh1210RucAAECBAgQIECAAAECBAgULaDzKDreZMMpeJPRWjiVgMMulax1CRAgQIAAAQIECBAg8H2BtcF6rKwNYrC+HuNjYzE1MR4T42OICBBIKKDzSIhb8NIK3oLDLXU0h12pyZqLAAECBAgQIECAAIFREDh1ZjWOnFqOE0srsb7+/R2NjUVsn5mKi+enY37L5Chs1R4IFCeg8ygu0k4GUvB2wuwiwxRw2A1T01oECBAgQIAAAQIECBD4rsDi8lrcfnQhllYGcWZ1rS14z6wOYjBYj/HxsdgyOd4WvFsmJ2Jmajz27ZyL2ekJfAQIDFFA5zFEzIqWUvBWFHYpozrsSknSHAQIECBAgAABAgQIjIrAyaWVuPXwQiyurMbhU8uxuDxoX8cwNz3Rvp6heU3DwvJaNK9tmJ0ej13z0zE7NRlX7pqLbTNTozKGfRDIXkDnkX2EvQyg4O2F3UUfjIDD7sHo+VkCBAgQIECAAAECBAjcX6B5cvfmQ6eieTXDnceXYnpiPHbOTcfWLRMx1ryX4Xuf9fX1OH1mLY4uLMfy2iAuvWimfVXDNbvnPcnrpiIwJAGdx5AgK1tGwVtZ4CWM67ArIUUzECBAgAABAgQIECAwKgI3HTwZxxaX48DRpfaJ3T3bZ9qnds/2aZ7mPXhiqX2id+/OmdgxOx3X7tk2KuPYB4GsBXQeWcfX2+YVvL3Ru/CFCjjsLlTOzxEgQIAAAQIECBAgQOD+As1Tu7ccOh0Hji3EYBCxd+fsOcvde366KXkPHF2M8fGIvTvm4urdW/3iNTcXgSEI6DyGgFjhEgreCkPPfWSHXe4J2j8BAgQIECBAgAABAqMi8O3DC3HXyaW47chiXLp9JuZnJje8tea9vQdPnImHXjwbl2ybiSt2zW34Z32RAIEHFtB5uDMuREDBeyFqfqZXAYddr/wuToAAAQIECBAgQIBAIQLNL0z75h0n2oL31NJaXLVr7n7v3D3fmM07efcfPt2Wwk3B+8jLtre/mM2HAIELF9B5XLhdzT+p4K05/Uxnd9hlGpxtEyBAgAABAgQIECAwUgJLK2tx08FTcfuxhZgaH2/fvbvZT/Mu3pXBIPbtmItr98zHzNTEZpfwfQIE7iOg83A7XIiAgvdC1PxMrwIOu175XZwAAQIECBAgQIAAgUIEFpZX4+a7Tse3j5yO2anJ2L1ty6Yna57+bYriKy7eGtdcsjXmpjf+iodNX8wPEKhAQOdRQcgJRlTwJkC1ZFoBh11aX6sTIECAAAECBAgQIFCHgCd468jZlHkJ6DzyymtUdqvgHZUk7GPDAg67DVP5IgECBAgQIECAAAECBM4q4B28bg4Coyeg8xi9THLYkYI3h5Ts8X4CDjs3BAECBAgQIECAAAECBIYj8O3DC+0vWbvtyGJcun2m/YVpG/2cXFqJgyfOxEMvnm1/ydoVu+Y2+qO+R4DAWQR0Hm6NCxFQ8F6Imp/pVcBh1yu/ixMgQIAAAQIECBAgUJDAqTOrccuh03Hg2EIMBhF7d87G+NjYeSccrK/HgaOLMT4esXfHXFy9e2vMb9l4OXzeC/gCgUoFdB6VBv8gx1bwPkhAP969gMOue3NXJECAAAECBAgQIECgXIGbDp6MY4vLceDoUsxNT8Se7TPnLHmbcvfgiaVYWF6LvTtnYsfsdFy7Z1u5QCYj0KGAzqND7IIupeAtKMxaRnHY1ZK0OQkQIECAAAECBAgQ6EJgcXktbj50Kpqnee88vhTTE+Oxc246tm6ZiLH7PM27vr7efufYwkosrw3i0otm2qd2r9k9H7PTE11s1TUIFC+g8yg+4iQDKniTsFo0pYDDLqWutQkQIECAAAECBAgQqFGgeZ/urYcXYnFlNQ6fWo7F5UFMjI+1T/Q2He/6esTC8mqsDSJmp8dj1/x0zE5NxpW75mLbzFSNZGYmkERA55GEtfhFFbzFR1zegA678jI1EQECBAgQIECAAAEC/Qs0T/LefnQhllYGcWZ1LU4srcSZ1UEMBusxPj4WWybHY/vMVGyZnIiZqfHYt3POk7v9x9b5DtYG67GyNojmVR3N+5qnJsbbfxngMxwBncdwHGtbRcFbW+IFzOuwKyBEIxAgQIAAAQIECBAgMLICzWsYjpxabgve5sndez7Nk7xNwXvx/LRfqDYC6XVdtLovugld59GNc2lXUfCWlmgF8zjsKgjZiAQIECBAgAABAgQI9C7QdYHY+8CZbKDrotWT3d3eGDqPbr1LuZqCt5QkK5rDYVdR2EYlQIAAAQIECBAgQIAAgVagj6L1XO9mbl7P0LymYWF5LZp/GeDdzMO5UXUew3GsbRUFb22JFzCvw66AEI1AgAABAgQIECBAgMC9Ap6ULeNmSJljH0VrUyjffOhUNE8M33l8KaYnxmPn3HRs3dL84r3vv3N3fX09Tp9Zi6MLy7G8NohLL5ppX+Fxze5572i+gFtb53EBaH4kFLxuguwEHHbZRWbDBAgQIECAAAECBAg8gEDXf9ReCGkEUufYV9F608GTcWxxOQ4cXYq56YnYs32m/aVqZ/s0T/MePLHUPtG7d+dM7Jidjmv3bEuDXvCqOo+Cw004moI3Ia6l0wg47NK4WpUAAQIECBAgQIAAgW4E+vij9t1MVtdVusqxj6K1Ka1vOXQ6DhxbiMEgYu/O2XOWu/ck35S8B44uxvh4xN4dc3H17q1+Id8m/2eh89gkmK+3AgpeN0J2Ag677CKzYQIECBAgQIAAAQIEvifQxx+1hz98ga5y7Kto/fbhhbjr5FLcdmQxLt0+E/MzkxtGbGwOnjgTD714Ni7ZNhNX7Jrb8M/6YoTOw11wIQIK3gtR8zO9CjjseuV3cQIECBAgQIAAAQIELlCgrz9qf4Hb9WNnEegyxz6K1uZdwt+840Rb8J5aWourds3d752757sxmnfy7j98ui2Fm4L3kZdtj4nxs7/a4Xzr1fbPdR61JT6ceRW8w3G0SocCDrsOsV2KAAECBAgQIECAAIGhCfTxR+2HtnkL3SvQVY59Fa1LK2tx08FTcfuxhZgaH2/fvbvZT/Mu3pXBIPbtmItr98zHzNTEZpeo9vs6j2qjf1CDK3gfFJ8f7kPAYdeHumsSIECAAAECBAgQ2LxAU1CtrA2ieS9n88uZpibGq32S73x/1H5tfT1W1waxHusxFmMx2ViNjbV23mm6+Xsv1U+cL8ezXfdCcuyraF1YXo2b7zod3z5yOmanJmP3ti2b5mye/m32f8XFW+OaS7bG3PTGX/Gw6YsV9gM6j8IC7WgcBW9H0C4zPAGH3fAsrUSAAAECBAgQIEAghUBTgh05tRwnllZiff37Vxgbi9g+MxUXz08X/4uXfrDcvuP4Uhw+deZ/vdN0YWU1Tiysxunl1f9ltXV6MrbPTcba2rp3mqa4US9gzS5fmdBX0dpXsXwBcRT5IzqPImNNPpSCNzmxCwxbwGE3bFHrESBAgAABAgQIEBiOQPNu0tuPLsTSyiDOrK61Be+Z1UEMBusxPj4WWybH24J3y+REzEyNx76dczE7XdYf3X6gcrspe5t3kjbF2fh4xCP2bI/ltUE0f4x9eXU9ltfW4vSZ1VheW4/m/aVjY2MxPTEWW7dMxvTERDR/ur0xbYpx7zQdzr16Iat0/cqEvorWrue8kCxK/hmdR8nppptNwZvO1sqJBBx2iWAtS4AAAQIECBAgQOBBCJxcWolbDy/E4spqHD61HIvLg/Z1DHPTE+3rGZo/or6wvBZNeTQ7PR675qfbP/595a652DYz9SCuPBo/eq5yu3n9wt0nz7Tzz05NxEWzU9H8veb/ji+sxpmVQVuAN6X3PVZNodsU41umxuOiuck4fWYtds5Nx7WXbPNO054i77pw7bNo7fJJ5Z7iHNnL6jxGNpqR3piCd6TjsbkHEnDYuS8IECBAgAABAgQIjJZAU27efOhUNE+v3nl8KaYnxtsycuuWifZp1Hs+zdOpTVF5dGG5fYL10otm2lc1XLN7Pusnec9Xbi8ur8Ythxfi0IkzsWW6eZJ54t7XMTTzb5uZbIvfH7RaXFmLk0ur7XuMJ8YjxsfG4/+7amf838u3e6dpD/8T6OOVCX0VrV2+a7iHKEf6kjqPkY5nZDen4B3ZaGzsbAIOO/cGAQIECBAgQIAAgdESuOngyTi2uBwHji61T+zu2T7TPol6tk/zNG/zeoLmida9O2dix+x0XLtn22gNtcHdbKTcXl4dxK2Hm19atRB3HF9oi9zBIGLb7GRcu3s+tkyd/RdQNVZHTp9p38HbPMn7fx4yH8965J6Yad7b4NOpQNdP8DbD9Vm01vy/605vrB+4mM6jT/18r63gzTe7anfusKs2eoMTIECAAAECBAiMoECfBdQocGykBGv+qP0td5+OO08sxu1HF2Pxe+/bvWrXXGydmYpLt8+cc5SVtbX42oHj7VO+D7tkWzz7/+6Ji7dOj8L4Ve2hr1cmbOQeu28Qw/oXKBv5lxfNdZsn85tz4NjCSlFP5vd1c+s8+pLP+7oK3rzzq3L3DrsqYzc0AQIECBAgQIDAiAr09UfIR4FjM+V28+qK5jUWt9x9KtbW1mNycixmJifbonb3tumYeYCneJsnRptrHD29HHedOhOTYxFXPmRrW/L+0J5t7S9da17x4NOdQB/3e59F67leP9I8pL++HtG8umJtEEW+W7u7O+v7V9J59KGe/zUVvPlnWN0EDrvqIjcwAQIECBAgQIDAiAr09UTjqHBspuw7dWYlvrL/aHz7yOlYWl2Pyy/aEqeW1tpfNrd9Zip2zW+5d6zmlQ5HTi+3795t3lXclMOrg0H7n+Zp3+YVGI+4dFvMTk+2Be+Vu7Zm/Q7jUclzI/vYTKl/3/Wap2oPHF2M8fGIvTvm4urdWzdVzvdZtJ7rFwg2vxxwy+R4ew8375ZuflHgvp1z7seN3Exn+Y7O40HgVfyjCt6Kw891dIddrsnZNwECBAgQIECAQGkC930n6USMtSVlU2Q179+dGP/uf873ad7FuzIYxL4dc3Htnvls3i272XL7zOpafPmWo3H7sYU4fWY1ds5NxfLaevvahaYcu3zHbOvVmN596kycWR3EqaXVOLJwJpprbZ+ZbH9B3dTkeMxNTcaOrVMxP/3d/961dUs8au9F7S+t80kv0OcrE24/uhBLK4No7qcTSyvtfTIYrEcXRWtTbh85tdxet3ly955P8yRvcw97onw4957OYziOta2i4K0t8QLmddgVEKIRCBAgQIAAAQIEihBo/mj2124/Ht+680T7S8N2zN3/vbDN06XbZydjbvrsrxG46+RSW2pecfHWuOaSref87iihbfYXbi2trsb/3LUQ37zzeGvVFOGLK6sxPTHRPpV72Y7ZtjRrPBZX1uKuE2didW0QTUc+PTkekxPjEWMRS8trsXV6Mua2TMTKYL35W7F3x2xrf83u776+YXb67L+ArSmLmyeD7ynipybGN1TEj5J933vp85UJzex9F63uobR3oM4jrW+pqyt4S0224LkcdgWHazQCBAgQIECAAIFsBO4puW46eCoOHF+I5ZVBW842D/Y1pWNTSjYFb1MgNv//Jdu2PODTubk+wduU2zffdbp95cLs1GTs3vb9Vyw8UIjNE5e3HVlsv39yabW1OHj8u2XuzrnpuGzHTJxcXG3fZ3qoed/u+FjMb5mIte89Kdn89anl1bYEbix3b5tpy9+DJ860BfmlF21pnwJ++J7tceWuudg2M3W/bfRdCmZzY29wo32+MuGeLSpaNxhWZl/TeWQW2IhsV8E7IkHYxsYFHHYbt/JNAgQIECBAgAABAikE7im3mtLw32871j51urK2Hg/dOdf+UfH19fX2j5E3BVTzfs6L5qbaQvOyi2bu94Ru8739h0/H/MxkXLJtJh552fZsnibd7BO8a82sd5+OI6fPxPHF1dal+f8bp8amKcePL67EicWV9j2tu+e3tE9qNk/xNp/m/aaLq2vtqxoumm0K4dmYGBuLtcEgbju6EAtn1mL77FT7qoambL5m93z7JK/3p6b4X8B312SbzrbmlXUeNad/4bMreC/czk/2JOCw6wneZQkQIECAAAECBAh8r9S6+dCptnxsfvlXU0g25eWJhZV4yP/P3ps8S5JlZZ7HdFa12d7o7s+n8PDIiMwEMovqpqqRQpqeFrBnhbBg0wv2iLCCPazY8g+wR9h1b0C6RCoFKqGAjCQmn93f/Gw209FavmOuL8zNbVKbh3MTxz386XDvd69qZP70u9/JmrcAF/AW7lS4VREJsJc2yDE1jhMA0EQDKIYD9X7JZsD7YM/ZGI2TZvBiYNALmbpnFZdKaZ3Oax7DcOTqmqpCDS+gq7pHeVtnTWHXbXghO6DxCw5f5Jzm+4qyIdP3suEyNIZj+tfu56lgG5zJ++KqyVEQuG7LixigO4bKOcmIaWh6IYN421C44BvcyIMcwBszMSvoqLijVyD6Ft9SmMcWT+4ChyaAd4HiyqUXo4C87Bajq1xVFBAFRAFRQBQQBUQBUUAUmESB/gJTWVuj07LLLl4wSbhHAQ/jBoh43fA4RgA/Q3TAg5LDcPHNTYvdqvcKDj0+SHOkwya1l1dNHjeiF5CjCyfyqNb0A3p70+Zz4LhNKUR38zZlDY3jF64aHhfPAgy/bvisG1re0ajSDDj7ouQYdJAzyNK+vxcg8dtKmyxdoSDs0IOSzREOOB7wFmDZUBWOgkibKqV65gfnonjbTdMjL4wYCmMeYgfwJs3HqvsqkQmrnoHtuL8wj+2Yx2WPQgDvshWX+82sgLzsZpZQLiAKiAKigCggCogCooAoIApMpQCcis8uGvSm3ORCYfeKNsNczpV1fbqoegwZS+mPIe9FzeVs3sOcxXmxcPbCPXqvaLHb9OlRdqo+rfKkYXqM6hO0qrQ9+updnSxDpaeHWc7UvawVNEjhAAAgAElEQVR7hDxiXUXEBVG17bPrFgDdCyL+VUjrXGDtOGd/dAvEPSAmA5AZMBfX0RWFgk6HHbtHOWT2fg/e+y8A4I77b/qcrHI9yL1FgXkoIMxjHiru3jUE8O7enG/8iOVlt/FTKAMQBUQBUUAUEAVEAVFAFNhQBYY5VuE6fX3T4gJhgJKICchaGtn6925RxAhcNVyOF0BOL/Jit8Et2u9oHgdSEZfwP15XqNz0Cby1YOv0yX6GHbRnNZd0JcWQtdr2qNoOyNZQaK3DsQ2ItjjMmWSo3YiL3nYD928Y0VHWpIbnM+yFmxdZvXBMj4K78XW2wVW9oY+WdFsUuFVAmIcshmkUEMA7jWpyzkoVkJfdSuWXm4sCooAoIAqIAqKAKCAK7KgC4zJnkR+LKIB2EHCcgOtHDHLh6AXIjKIOvbppsbsUjtVfvZ+njKlvfN4rCm31ZhKPikKA4xdgF/AWLl1VTZGlqVxo7bzmEiA4UYejErqO5xQV0wZlLJVMVb3NyB20BGMHLwAzso2rrk9RSKzzXtqceNVuci7yxIOUA0WBNVZAmMcaT84ad00A7xpPjnRtsALyspOVIQqIAqKAKCAKiAKigCggCixfAWTofn1Wp9flJm/9B0jsb3DyYpu/FwBShgwsvbDDhcSQ+9p0fTI0lTN3PzvK0CcHGbKNj92oyx/dbHcEFEUxszpiKhjUhl0Xs6kxxAXMhbs5jOi2mJmSUkhNEamKwj/7xbsKXdQ8qrY8/jtk8uL8kmOSrqWolDYGOnfR8ziDF1EMcEjDDQy3NAD6//S4QLauTzxAXOv5VYOjHlD47os7OS7MJk0UEAWWo4Awj+XovG13EcC7bTO6A+ORl90OTLIMURQQBUQBUUAUEAVEgR1SYFMKMwFCfnve4LxdW9e4YNqwhmJi1WZAcPUCbsat3PQ4KuDzu1n6lXt5cozNKqo2bLxw5r69adE35zVye+A2YhLgYEYcBSIWcpZOpqby350UHYbbOPe67tFXZzUuqvb6psnRCk0/pIyh0b2S9UFBtUF9AEjHuXHkxdtKi0E7Cr/92v0C3zNJw7l+FNFJwaGnRxmOhpAmCogCy1FAmMdydN62uwjg3bYZ3YHxyMtuByZZhigKiAKigCggCogCosAOKBCDPRTT6oWgiDMACCxlDMqY6wNAJ3Hw9k8bsmODMKIOdThu4KrhEXJetwUcIp4BQBYRC3AvYy4rLcBtn9pB18WLOcTvpq7QpwcZulu0B85rpeUT8nxfXTfZJY3oBsDiu3mL3c/DGvTsLWBXdDT617dVdgAfZS366YMiqSPOH3Td81qbMN8PSml6cpjeGhC/A68VGeIWKCDMYwsmcQVDEMC7AtHllrMpIC+72fSTs0UBUUAUEAVEAVFAFBAFVqvAICjoBhFn1CKz1tSUgU7P1faaaFwG77j+bdvW/ziWAUXTUFiu5UUcZYCYBLiU4YDFMUEUkaNrdJizGOw+3HMoaw2OTIgLtv3zqwp5QUh+0KH9rDkUsALuwrkLGAtHNa6bNlQu4qYoxNm7P76XHzc1H/1cHLyJJZMTRIG5KSDMY25S7tSFBPDu1HRvx2DlZbcd8yijEAVEAVFAFBAFRAFRYBcVGAcFAeyaXsgw1TaU26Jao6DgMnV8edUkuDtfXbd4+z9yWidt21S8K0lhNeTxIhMXhdPiCIUnQ7KH4+te1Nr0r2+q7AhOGxqdFG3O5Y0bYDnWCVzgfhjRXtogx9TY7XtedQkRDRrcw5ZKnx/lRjqA++dvHIjflEiRSdelHCcKrJsCwjzWbUY2oz8CeDdjnqSXPQrIy06WgyggCogCooAoIAqIAqLAJiqwKCi4LC0A9pCh+91Fg06rLUp1UnR/z2G36rgGcP3mpsWuUhRYe3yQXqv4iXH97/957LR9c9Nmxy4Kzo3SAeOHKxZQ9l7RooJt0NOj7MDbxh8BkMn7ttyk04rLmb1HOZujFhB30fK7jm+4vfOOzhm5RzmTau2A74HI3SBE8TWaG4jftEiRpHMqx4sC66KAMI91mYnN6ocA3s2aL+ktEcnLTpaBKCAKiAKigCggCogCosAmKrBIKLhIPfrBHoqs1VyfLqoeldIGfcKwdnDkAPqVBG4uchzzujb0eHbRoDflJkUR0b2iPXfIjY8B35zX6duLOiGbFzm/1CGGySjMZmjqbbavrqYobaocERG7hJUUcZ8u6+7MfQRU7s8Z3oRIkXnNt1xHFFi2AsI8lq34dtxPAO92zONOjUJedjs13TJYUUAUEAVEAVFAFBAFtkKBZUDBeQs1LCu47UUc04ACaq4fkq1rHBHwaM8hy/g+sgFb/THuctOfKJ5g3v1f1PWWGVNxWmlxVMNVw2UdXT/inGZbVyhtagx5AdDDiD6K9DittKnc8mgWlzEiJV5cNWlYzvC6R4osag3IdUWBRSogzGOR6m7vtQXwbu/cbu3I5GW3tVMrAxMFRAFRQBQQBUQBUWBrFVgmFJyHiOOyguueT6+vW9T0A/KDiHS16yx9UHTIMVWOBmh6wUDwOKzA2Dz6vehrrKLQHED7i6sGIcsXoLXhBhREHR7qqKJ8SSJBBoH4u3mbs3zxM8BiQ1Wo6BjsFk71xHIA5CfJGV70HMn1RYFNV0CYx6bP4Gr6L4B3NbrLXWdQQF52M4gnp4oCooAoIAqIAqKAKCAKLF2BVUDBWQY5KRhs+wE9v2rQVd1n0IucWE1R6CBjkmWonA+bs3QyNZV/dlJ0GAJvcmv7IX19VqfX5SbpCnJxrcTDQRavH0V0UnDo6VGG83MnadNk4I4C9WC0o0D8PBzAw3KGJxmvHCMK7KoCwjx2deZnG7cA3tn0k7NXoIC87FYgutxSFBAFRAFRQBQQBUQBUWBqBVYJBafpdNKsYLh5vztv0E3To/2MSXDoPig5BIAIwFvKGBtdUK1XQ7iSvz1vEHKIEU1xkDUTS4x4C6yJB6U0PTlMk9MTazHJxfDBwA8jjmZAzq6uKnxa/9+pCOIlomFRGyjSNswBjPiNRecMTzJWOUYU2EUFhHns4qzPPmYBvLNrKFdYsgLysluy4HI7UUAUEAVEAVFAFBAFRIGZFFgHKDjpAGbJCn553SRs179TsOjxfoa388eQcdL7r/tx6wbrk7h6kxy7aZEi675upH+iQBIFhHkkUUuOjRUQwCtrYeMUkJfdxk2ZdFgUEAVEAVFAFBAFRIGdVmDdoOCoyVgnsDfIqbpqYLwucRvTuHLjeIxxuq7LGHf6pSGD32kFhHns9PRPPXgBvFNLJyeuSgF52a1KebmvKCAKiAKigCggCogCosA0CmwKMFuXfiZxmk4zH7OesywIPgzElpsefXfRoIbn003DJy/scAE0x1A5sgHRDU0vJJxvGwrtZQyOk3i453B8xri2SR8kxo1Ffi4KbKICwjw2cdZW32cBvKufA+lBQgXkZZdQMDlcFBAFRAFRQBQQBUQBUWDlCiwLCs4y0FWDvVlcqbOMO+m5s8RYvLlpkaIQ3Ss49PggPTCbeBjgbvkB5+meVl0Kw4iuGh7n7+ZsjfbTJuXTOjm6xsNBVEbDDTkX2QsjOs5bfK8nB5mxhe42KVIk6dzJ8aLAJiggzGMTZmn9+iiAd/3mRHo0RgF52ckSEQVEAVFAFBAFRAFRQBTYNAUWDQXnoccqwV6t7dOLqyYBYl7VPWp5Eef3zsuVOg99eq+RtBAdXLVn1TY7a+8VLSrYBj09yn7QrWGAu+11QS1auelTtRVQueVRyTHoIGeSqSmUNjUyVJUMLUVHOYtMTeXjJ7lvvzarBv3zniu5niiwaQoI89i0GVuP/grgXY95kF4kUEBedgnEkkNFAVFAFBAFRAFRQBQQBdZGgUVAwXkOblVgD2Dz24s6AYKfVtocN4ACbWlTpVQqdTvEWVyp89QJ10rSZ4wLYHaUk3YY4MboL+suYW7ellt0UffID0MGuodZkwppg6iToijqkKkrlHc0sjSNHbtpo+vmBeSdxDkca7QuUR3znjO5niiwKQoI89iUmVqvfgrgXa/5kN5MoIC87CYQSQ4RBUQBUUAUEAVEAVFAFFg7BeYNBec9wFWBvXUH38N0HuU6BpfudIjgig4jGpmFO2xdaArRm0qbmm7AcQz1tk+uHzHwtd8DXktX6SBr8D1q7YD8MOLMXcfQ6KRo3zp50dezqkv3SzYdZi16sOeMXD6bECky7/Uv1xMF1kUBYR7rMhOb1Q8BvJs1X9JbIpKXnSwDUUAUEAVEAVFAFBAFRIFNVWBeUHBR41822NuE6IpRWs8jN3gY4H553SSsl4uaS4amsIsXELflh2SoKfLDDhXSOjt1j3M2O3WvG3D7RnSQMyhr6vSglObuw/38/KpBGQvOX4u+uJPjCIxhbdPnZVHPh1xXFFiGAsI8lqHy9t1DAO/2zenWj0hedls/xTJAUUAUEAVEAVFAFBAFtlqBeUDBRQm0bLC3bKC8SN2u6x5V2z47d+MGJ2/O0qmUMYYWVHt20aA35SZFEdG9ok1KKsXO37flNp1X24TLFRydzqsuXTc8BrNZW6NywydK0fssXoOjGQB5AYRxX4Dcu0XrtvAaMoD9KKKTgkNPjzIE9++otqnO6kXNsVxXFFiWAsI8lqX0dt1HAO92zedOjEZedjsxzTJIUUAUEAVEAVFAFBAFtl4BwNRpoOCihQHYu2q49Oq6RZam0HHeJl1Vhjo+pynkhTGsKhJikfphTIhJgCYAtaN0Qz+GAW5kEaOwGn5H5AKgLgAvCtChkFrW0qkVhFRt+gyP85ZOexmTh9bwuuvqKG9SyTE5jxftvNZmFzBcvU8O0xzjMKqte6TIIudRri0KrFIBYR6rVH9z7y2Ad3Pnbmd7Li+7nZ16GbgoIAqIAqKAKCAKiAJbqUBSKLhIEQCd39606BfvquwiBVAEpIQLdR8g0dFvwSC2/U9SQGxYf1dV1G2R+iW59jDAjb9/dtlgwAvIeidvURB1GPbGDt68rVOHOnRRdxnC522D7hRsUlMpjmN4W2mRY6hUSpv0aD/Nf5/UwYuxrHukSBK95VhRYFMUEOaxKTO1Xv0UwLte8yG9mUABedlNIJIcIgqIAqKAKCAKiAKigCggCiRQoD82AjDw9U2L2n5ADTekqEOc35oxNTI1hUppFPbqjC0gNqoLAMjfnjfo5XWDbF2jg2zXgZqkJXWlJrl20mOTgvphgNsLIkL+LuZAV1MMaaOoQ28qLaq2uoXWANtTqRRV2h7PQckx2LFrqN3YBTiwAYWPshYXVjNUJVEGb+/Y1zlSJOkcyfGiwCYoIMxjE2Zp/foogHf95kR6NEYBednJEhEFRAFRQBQQBUQBUUAUEAXmp8Awl6amEDtG3SCimutTvR2QoqQobahkGxrdK9h0lLPI1FSydIVOig7Zxuhc195eb4uDd9qojWGAG7oArp9W2wzTi47Bsl3WXXbUwlUNBy8ydKttj4ut7aVNOswbZKrd2IXrpksAxSi+dlKyyA86dFZ1GfYim/fBnpN4AU07zsQ3khNEgR1XQJjHji+AKYcvgHdK4eS01SkgL7vVaS93FgVEAVFAFBAFRAFRQBTYfAV6naZwg766aVLTCzkCAE5PAMW0qbJDFK3pB1Rp+HTZcKnaCjhjdi9tUNrS6IvjHN0t2gMLiI1TKo4oOK20qNIK6H7RJlXpZv3i17iGKILnVw12FgNafnEnN9F546476c9ndbYmcfCiTzgeBdSumx7HMMC1W3X9sQ7ee0WLLmseKQrRvYJDjw/SU81XrEtSp/KkespxooAo0FVAmIeshGkUEMA7jWpyzkoVkJfdSuWXm4sCooAoIAqIAqKAKCAKbKgCgxyYiAKouz7V2gFHJDzaS3NxsEEt7HTIC0KODmj7Ed0vOQx6nx5lp1IE/fnX1xWOaDituFxMLC78hSiInK2NLAQGN+usrtSpOj4mmxb6ocgaoDlgqG0oPDbEUDzcc7hAGlqSDN4YtgPCo4hauYls5BR5YUS2rg7N4C04BruqAfIBegv29PM1rVZyniggCiRTQJhHMr3k6K4CAnhlJWycAvKy27gpkw6LAqKAKCAKiAKigCggCqxQgWFO06Yb0EXdo1rLJ1NX2N2JqIU4dmFYlwEv39y0pnaE9van0vLoq7M6wcWL6+5lTI58AOBFcTdDU+gwa3IcQW+btQ9Jp6PXter5Eb24blLLH+56xvXhskV+MYqlAcQe5y0e15ODzG2UxcurJiFH+NV1i45zFruR0QBycR5+7wXfiF3o5g5HdIbfUYStYNFhxqT9rMXnAgBf1VzKORqpKYVytj7w3kk1kONFAVFgOQoI81iOztt2FwG82zajOzAeedntwCTLEEUBUUAUEAVEAVFAFBAF5qLAsHxdx1A507Xc9Ol1uUU5U6O8o1Pe0cjSNAaCaaMLGwe1ad2zg/pzUWtT0InopuGToabI0jXqdIjzZ9EnwN07eevWzQu4CxcxHLKLdqUOdj03CH8P1zPg88MRrmdoN6q/uM6ziwa9KTcpiojuFW12UCOf9225TefVNnWI2F0dO6sR1QDIe151qemH5Ogq7WUNyls6H3tZcxkow62LrF1o1O8ensvikouIAqLAQhQQ5rEQWbf+ogJ4t36Kt2+A8rLbvjmVEYkCooAoIAqIAqLAchSQ7MyPdd5mTeCU/faizjCyP1836hA9u2ywSxRO3oKjU90Nu/m676MSToo2u2kHtWnyb4f1B7d4UwawDbiAmKak2L2LvgQRCogZ5Jga3ctb5EcdhtLDHLHzepKGu567ObgA1YhGuFOwGUAPchn39mWU4/jrsxqVWx69uWkTwDsc1IC5iM/AfXA/3KOUNvjvu8C4xYA3Y2tkqgqlTZ3cIKSbBtzCHTrOm1xgDW7haQrgzUtHuY4oIAokV0CYR3LN5AyJaJA1sIEKyMtuAydNuiwKiAKigCggCogCK1VgkAsRHULUas7SqZQxZiq6tNLBTXnzZWqyKog8DBxCMmz1B0CEExZZrqW0yeDwuuHy9v+DnEFZU6cHpfRQhXGuH0V0UnDo6RFA4mAYHF9gVH8QKwAI3Q4CqjQDzozF+kQMAvoKyKsoKS6mNizTdsql8NFpo1zPANDXTZfe3rQpa2vsmh3kMh7Ul2Gu56HgWyF6U2kzgL9qdMG3pioUxOA70wW+GVPlInVwFPcC+h/emb4A3ry0lOuIAqJAcgWEeSTXTM4QwCtrYAMVkJfdBk6adFkUEAVEAVFAFBAFVqLAMBdiFHUYlmELPAAvXJq74vJbpibLhMj9C2zY1v/4OGzzf33TotNqm9dB0TH4R4C8cIwCrgKm3i1a5OiDoxq6WbAhQ+Anh+mRBdHG9Qf3hgMV0NgLOuSFITXcgNwg4igJVUlxRu3TwyyhcNii1utI1zMRPb9sMARHtm6x1/Ucu4zfO3oHPfCjXM/DoDLK3V3UXXL9kHUAfMfYEclgaxr/jlwGP+iQoafYiZ02dPrkIM06SRMFRIHNU0CYx+bN2Tr0WCIa1mEWpA+JFJCXXSK55GBRQBQQBUQBUUAU2FEFRrkQ423eyDCFu3TRjsh1mYJlabJMiDxM22HFu+LjBzl445/BTXtd9+gob1LJMTmPd1BL4uAd15/e6zf9gKrNgIuFIYsXoPe64XExsftFh358kl+Y43yUyxgAGsXQUNwMbtq9W9ezx6AbOblZC65nZ+iSH6XZsHWDQmqI0kAzNJUdzaC6Rccky1B28kPNurxTpB+iwCIUEOaxCFW3/5oCeLd/jrduhPKy27oplQGJAqKAKCAKiAKiwJwVGOVCTMGa+b7BUQgnIuDRojNN5zzExJdblibLgsijBAC0//JdlQtx1dshPdpzqHfecS6OiTN4oQ2KmMXHYF28rbQ4DxbRDY/206T2rBucnySDd5L+DBpP2OlwHEHUiejlVYsdqYDNX9zJsaN33m2cyxjxEa+v23RabbHr/SPXMxEd5iy6W/i+IFx/HydxPQ9zfrf8gAuxwX2P/N+47XLUyrzXgFxPFFgHBYR5rMMsbF4fBPBu3pztfI/lZbfzS0AEEAVEAVFAFBAFRIExCoxyIQ46tVu0CUWuQrpXtKhgG/T0KLtVOi9Dk2VB5HETAzfp12d1el1ukq4oXLRrUEPmLeA+fo8Lq8XHXTVcLnB2lLXofunjYmvD8mQH3WfS/owaVxK38Dh9hv18nMt4kIM3vlbsMgaABvidh+t5WHbzqjKdp9VVzhMFRIFkCgjzSKaXHN1VQACvrISNU0Bedhs3ZdJhUUAUEAVEAVFAFFiiAuNciMO6Asj75qZFikJ0r+DQ44P0wrbBL1EOvtWyNFkGRJ5Eu6YX0LfnDXp53SBb1zg6YFDDcW/LbTqvthHjyschvgMNhcQQBXCcs+mkZJGlfZ/Dm3StTNqfUWObxPk6iTbDjpnEZQxHcZzB2/QiuvuR67nNrmcA3sdwPfe5jJO4nmcZi5wrCogCm62AMI/Nnr9V9V4A76qUl/tOrYC87KaWTk4UBUQBUUAUEAVEgR1QYJwLcZQESVyZmyTlrJq8K7c5/xWZqw/3HdJV5SN4tyyIPInuSRyzL6+bhHlHYTVLRySDwZB3mIN3Grd3kv4MG9+iHbyT9hFuZ8Dvs4r7kesZxdf8sMOOaeTwGprywXC29fmaZE3KMaKAKDC5AsI8JtdKjvxeAQG8sho2TgF52W3clEmHRQFRQBQQBUQBUWBJCkziQhzVlW10GM6iCZynlaZPX5/XyO7Jo0WBrZylUylj3LqcZ4XIZ1WXoxAOsxY92BtepGuSpZRkzACbb8otaroBXTU8htcZU+XohrSp3WbwAlUCYpebfuK85iT9GTS+ZazLSV3GKAD39qbN+cYoANfrer5peOSGcD1bdFK0GZjHLanreZJ5lmNEAVFgOxUQ5rGd87roUQngXbTCcv25KyAvu7lLKhcUBUQBUUAUEAVEgS1RYFIX4qjhLtopuWypp9EE55zXuhEFfhjR65smtfyQYScKaGUtjQEvCm1ZukJ38jY9v2qMLGq2bLCeBDgDbr6rtAnjBtAut32qtwK6W+zmye5nTMIxYURkGwo7VxH98HDPoaylTzSlSfrTf8FlOF+TrBNEX9Rcny6qHs8/1gVcz8McvNO4nicSVQ4SBUSBrVRAmMdWTuvCByWAd+ESyw3mrYC87OatqFxPFBAFRAFRQBQQBbZFgUldiKPGu+is02VrnVSTftjpBhHVPZ8UStFhzqKjnEFhlCK4UmPYqaYUBsHXTW9kUbNlgvWkkREx1Mbv78otBtqAt3CoOqZKpqZ8ALVPig67midtSfsTX3dZztckLmOsEURboLAanM6mqlLO1uim6bPrOc7gRQTvtK7nSXWV40QBUWD7FBDmsX1zuowRCeBdhspyj7kqIC+7ucopFxMFRAFRQBQQBUSBLVIgiQsxHjbAFn4BpHH2at2lkDp0UnDo6VHmg23mmyhVEk0GxRXArcvu1Q7RUdbiGAVDVajhhgz3vDCigqNRuRkQogTytjG0qNmywfo0Rd9esBPZZZdyxtToQSnN3Ubttf5YiqTrYZr+wFHe9EK6V7SoYBv09Cib9LYTHz/OZYx4hmozoIYX8Jq4qiOSIaRGOyQvCPk5erSfoYKjz8X1PHHH5UBRQBTYKgWEeWzVdC5tMAJ4lya13GheCsjLbl5KynVEAVFAFBAFdlEBAAg4DWOYN6hY1C7qsi1jTupCrLYCdhjGDYDyXaVFe1mTPtlP068/LH1UTGzTtEqiyaCCYykieltpkdOTwauCdhLxcwQAWWn5DPcA/QBEUWQraVtENEbLC+nbizrPMYqDAUzDXaqrKS4GFkQRaYrC/wxQ3Zuva+sqPUShMF1h8D+Pd8Ww/qRNlVLvNYVuWIercL4Ocxm7Qcjz7AUd8gB03YC8sEOeH1G17XEWb8MD4I0ob+v05CBDhbQxs+s56RqS40UBUWA7FBDmsR3zuOxRCOBdtuJyv5kVkJfdzBLKBUQBUUAUEAV2UAGAi+u6R9W2zzAibvNw5e2gnGs95HEuxP58WawNZM1iWbg+gG9Ij/bT7FZ9tO9Q0q346yjOOE3QZ8DZt+U2nVfbrEVcPAtuTTw7R3mTSo5Jx/kP4S0gL8AwYg00NUUZU6fPj7MfAMtxmiyyiBjya19cIUM4oG/P6/TyukX1dkC6liJgaozVDyLKWDo9KNn05DCTOF933Ph6f97bHzhgW17EHxEA0PE+wvtp1rzfJP3pP7bfZZyxNDqvutQOUHAvINePSFFSnL0L8A2o++qmRdWmTzgW6+bhXpru5C2Oa5jV9TzLWORcUUAU2EwFhHls5rytutcCeFc9A3L/xArIyy6xZHKCKCAKiAKiwA4rAMccCkS1/YjgQgPgRaZoFHUYUsyaq7nD0q506KOc2KOyTgflywKuAVYB9F3WXHZ4I2bgwZ7D2+KTFtNaqTBDbj5J/iscrohcwO8oIuYYGjt0L2oug8fDrMVFxxxd++gugJa/eFsly1AJz9yP7+YZ9k3aFl1E7M1Ni/7fL085RgLFwc5rLY4VQBSHSilKWyodZm3KmjrHTfzvXxzTvaI9afcTH9f/XoJzGCAd6xrrMW1oHHMQF7Fb5keGXpcxwP11A7nKKXbtGprK0RVwN6MhOqL7gSRkmIt3Kxy8eG5ylkGfHWUTrYPEQsoJooAosJUKCPPYymld+KAE8C5cYrnBvBWQl928FZXriQKigCggCmyrAqOccnCeAV4BUPQWi9oGmLeu8zmPeIxJndiDsk7h0n1TblHTDegK0EpVbmEV4O51w+UPAftZnbftpw2dt+3DsYosVmw7T1JUa93mYVT+K+bm2WWDAS8AH9yXvZoc5AyGn3Eebf/Y4MD98qzK0DQII7qbt+n+nsMOz3Ft0UXE4Cz+2fNrqrQ8enbZpOu6S1FE5JgKpVIKdToRNV24UolKGZMe7zsM+P/nRyW6U1gc5Al4VsgAACAASURBVIUuiD14dtGgU7im+3YWHOcsenwwXdzFOM3H/Tx+d351VqO35SadVlz+CHKUswnxHB3qUMvvfijDR7K8o3NW9VHOpFob+bzLyQweN45d+vk83q+7pJeMdb0VEOax3vOzrr0TwLuuMyP9GqqAvOxkcYgCooAoIAqIAuMVSJJ12Vssaltg3niFJjtiHtBgUig7qkdJndh7aZNzY3uzV+FAxHbyi7rHMKqUNniLftMPecs+nLuxc/WkaDMAXmaBq8lmZPqjRj0TyKOFWxPj1eBoNtSBmsBROqzh3JfXDXJMldSUwk5OZPGOgrxxhu+igCCiJf7+mwsunPfdZYMsTSWA07ytUcTxDB1CUINCRJVWwKC1HYScv7yXMem/fHpApYwxvehDzvzYwevxOgQc11SFHF2lgoMMW5XB6jIdvHGX4dz+2bNr3gGBCAusiSCEYsTPjaEp/OEDzwn+fJg1+blaNLCf+2Rs+AXn8X7dcAmk+1uogDCPLZzUJQxJAO8SRJZbzFcBednNV0+5miggCogCosB2KrDu1erXXfVpoEE/DAYMQsGyWeMxpnVi76UNduoiexVb9F9etdjFCSC1nwW0SxHyeOHmNHW4EDWyNI0du9gij7ZtsGqYlmqK6LTWpouqS0gjzhj6UE2Grd3zWptQtA6mXcQLIHYgLmq2qiJi/88vThn0f3VWp5yp0eODDLuzhzUUXXt2UaeqG9BnRxl2Iv8fPzz+4PBZP3pMu54f7jmUtfSlvTri3Oavz+ocydBjML7tAwBvztY4zqO3LTpyY2kirPGNkn70WsVHgjWWT7q25goI81jzCVrT7gngXdOJkW4NV0BedrI6RAFRQBQQBUSB0QpMkjc66ArbBvOmWSfTQIOw0/mogB2ybuGGRL5p0Onw9vO4kFSSeIxZndgAdFcNl55fNums1qbnl3UupoVt5alUigw1xdmhhqqSoaXYcdrvUt02WDVojvHMAIIjb9XWFbpXdEZqMmhtwcHrRxEVHYPBbtiJaJVFxNCf//rNFf3ytEJhRPSD4+xIuBuPCZD3309rpCpEnx/n6X/5dI/XxTQfPfp1mnU9LysmBBD7y3dVArSvt0N6tOdQ1CGOs8F7Es8wnmf8GtQWWTRvmvfavM6ZFe7Pqx+b8pFgXuOV6+yeAsI8dm/O5zFiAbzzUFGusVQF5GW3VLnlZqKAKCAKiAIbqEDsPHt13eLt2OtU7GkRcs4LOiSFBhlTpWo75KgDbOuPC9i1vZAu6i4BlMG9i6JcexmdHu2lyeop0AUINC4eYx5O7E8OMvSPL27ou4s6A0ysCcBdNPwGt27O0QYWD8Mx2wqreoEl3NZxBi9czZ8eZChr66Sr3bxVxBggOgD5q5MAPcz1PNzbSZ6X/ucAc44xffm2So/fRy5Mer2LepteXDbpi7s5ul+06W7BntmJjnvPYz0/PcpOOoypj8MagHP3dblJuoLsXSvxtWLgf1Jw6OlRhuMbNrXNA+7Pa+yb8pFgXuOV6+ymAsI8dnPeZx21AN5ZFZTzl66AvOyWLrncUBQQBUQBUWCDFBjkPIth3iTD2CSYN0/okBQaYNs7AB62aKN4GYosoUCdY6j0rgLXn09vK23SlRQd5kwqpPWP4g/i+RiWwzovJ/bdgkVvy22GVXAeIrphEmjZu162CVb1PwcxGH1x1WAnNrJqOaIiBbj9/dGjYPgwl/M81+iw53fQPbAm/+u3l5y9i0J5v/6gSMqIaIb+a0dRRP/8pkJpQ+X4gV9/WKBqO6CWF03lRMf157WeUXgNz90iGxz43543OFMZz/VB1kx8O7h/AYpRmO/JYfqjGIfEF1zBCdPsaFh0IcZN+UiwgumSW26RAsI8tmgylzgUAbxLFFtuNR8F5GU3Hx3lKqKAKCAKiALbqcAuOM8WAR2SQANojMJLr29aHHtwmDXoTt6mHxzlqOWHDFPPq23eyg33NFy6/QXM+mMQBsVjADYCEs3qxM6aOkO+XYdV4574y5pL/+3ZFb2+bpEbhgw3/ajrYO6Ps9AUolLG5FgLQOCzqstu33sFhwYByHm5zHvHMOo5QKE0OHfPay5HTjzaz7DTHFEck7Z/P61y0Tm4d+8VbSrYBsdPDMoTHudExz03aWfBLrxHx62DpDsaUKARMHyRWcmb9JFgnL7yc1FglALCPGR9TKOAAN5pVJNzVqqAvOxWKr/cXBQQBUQBUWDNFdh259kioENSaPDyuknoByBuwwup6Oh0lLPpbtGiajOgm6ZHp5U2AXjA/Qh4e91weYv7Qc4gAFe4+vpbrwt0L2NSww0+yACd1okNMKcoKXYcb+p280UA0l7943X11VmV3pZbdFpxeUv9Uc4kVVF4DjF/bT/gPFtNRX6xQqW0Tk0vIjcI6VEpTff3HPq1+4WFvyXGPQflpkv//VWFXl02KGOjuFqaTFXlNQkIN0n7hxfXVG54VEwb9JP7eXp6lGMH+LA2zImO4zdtZ8Gm9XeS+UxyTNIdDXjn4SMSCjTCXb2orORN+kiQRG85VhToV0CYh6yJaRQQwDuNanLOShWQl91K5ZebiwKigCggCqy5AtvsPFsUdEgCDQDQY4cudu87pkrlhk9HeZMKlkFNP2TAi77eyX+fdQv4dVFzOfP2MGsxDEY2b2/rjcfI2zqpKYXeVWeHsndyNhf8qrT824JR08Ji9P2LO7mhxaVGPR7TQNplRBz0riushZuGxwAXgN3QVMpaGhccQ35x3Q2p0vKo3g74mDAkytoa3SlYtJ+x6PFemgqOTidFhxa1VX2S5wD9+9nzK/rqtMZwdT9rEtYUoDUiQ8Y5edtBQP/08oaLxJ0U0/R//vCIcrY+9u03rFDjJr6XkrwXRn2swTPzYM8Zq906HZBkRwP6PQruz2tcuw7d56WjXGczFBDmsRnztG69FMC7bjMi/RmrgLzsxkokB4gCooAoIArssALb/D+CFwEdkuoFZ26vQ9fWVUIeL7J3s5bOW/mx1R/b9UvpD3M7G17AGa+AwSXHZLdbf4uzbvczBimk0Gm1NZcMUEQJ1NrBzHEP08CqaSDtImI4hr0W+tcVgC4iFwAlK02fi+dBO0p12K3r+SHV3ICjG4qOyS5exDWUHIOKaf3WJbuoreqTPAfI4P3/vr1kNzLcvgcZg4KIOAsa+cLHOXvkW/Ki2qJ/fHVDnU6Knh5m6X/7/JAM5FJM0AblEW/izoKkzv5YmmGQewLp1uKQdR33Jn4kWIsJlU5spALCPDZy2lbeaQG8K58C6UBSBeRll1QxOV4UEAVEAVFg1xTYRufZoqBDEmgAGPzssvGRQ/eq4VIQdahgA/DC6emTqSmcV9rbAARjGAz4+2g/TWrflve4MNNRzuJs18uGO1OsAqIDAPMOcwZDS1yfOinOVB213X4esGpaSDsufgAAremF7Ey1DWUmoDpsXWFdIL+27voMSeHqvWn67FwG1AfQd4OINEUhzNUP72bIUDVeG4vcqp7kOfiX1xUurPfdRYPu5E2GtSgcBxCNqBBLGxzVEHY69Iu3Ffruok6HOYt+7V6BfjVB7MSgQo3IoP76rM792aSYkElgeu8zvgwn66L/fbau//7YxI8Ei54ruf72KiDMY3vndpEjE8C7SHXl2gtRQF52C5FVLioKiAKigCiwRQokgUD9cOLNTYsUhYYWi1qVTIuCDkmgAVyRyN+Fy7bXoXvddAk/20ubFFFE5UYw0MEL7WIYfJS16H7Jpv5ia7GDF0XboqhDZY4DCOnRnsPu4GENsBO/AJgAbl0/pF+eVRk4w2UKmIy5BbCEG/Uga9KjvfTUmarj1sG0kBa6oHAd1jDc0si5jQt7RUQUhBF1qEP4PzfoULXlzwRUx60rZPKeVtv0rtxmBytiChRQUkxFh3jesf0efYQje9GAb1x/e+flqu7S/3hd4Y8SgK5wjmMtlTIG5S04jT90mMfntnyffvbdDdW9gAtm/ZdPD4YeO2wdxOv4pODQ06MM6apCX75D0bf2ROu5/7qDoDFg+6LbJHEY6AP6hzVbbs62Hhc9nnHXT7qjYZnzlORj3KTrEpEl0kSBdVRAmMc6zsr690kA7/rPkfSwTwF52cmSEAVEAVFAFBAFxiuwTc6zRUKHJNAAx76+aTHw63XoxtD2IG1y1i1yWvszeOMZi2EwXLUnJesDF2U/xMJWelz71XWLjnMWZayPHZcA1NVWwHAJDcARWbE116dGOyBEPRTS3RgBuIzxM2AxQF64UJ8cZtjR2QuPZ4VVSaBYw+1mFseuVzhls5ZKl3Wf+wd3bDsIuXgdIi7gao4b4DXctPg5/v5e0SIUlHt6lB3/gExQ+KvpB/T2ps1QEmuwlO46sgHQ4bzG/d9W2txPAN7HcGQrKYa8i/hQMs1z8N+eXXFkyIvrJvfT0lJkGxrlbYPuFOyPHORBFNG/n1XpzU2b5+Eoa9P/9aPjifTsPSh2oqOY4JPDNBcbTAKn+284KPYhcaemPGHUxwqsAaw9PIcovjero3zKLs7ttCTvw2E37Yf784Ko06z/3j6u6iPB3CZHLrRTCgjz2KnpnttgBfDOTUq50LIUkJfdspSW+4gCooAoIApssgJJIFul7RPcfm4Y0Z2cRQXH4NzNRRWJSqrrIqFDEmgwyMHbH7sAmAFXKdynexmDwVZvG+Xg7YdYcFo+u2jQm3KToggA8/tYhThCAH3C9ncAXpyPGAEvCLk4FmAjXMVwmMItjDiBq4ZH59U2pVJdUopt+yi6heNmgVW9BdQQCRA7cGNIi7vF7tsUpUhD1bIOMTgFVLysu4R1CHcsYBkA+H7W4MJ0XtAhLwy56JkXdtgtCSBtqClKmxqPq9z0uJDYJ/sZenyQpoz5oe6DCryNiw3AHALIn1XcgXMJ/a4bLvlhh0H0g5Jzm1O7CCA5zXNQaXr0T6/LrM+bcpvnAC7k+0WbAW9cbC2KIrpqYm24rHPaVCnqEP3KvTx9ejgZMO9d54Mg3ybvLJg2biTpu27VxyfZ0TCsr4Pg/rzGtakfCeY1frnO7iggzGN35nqeIxXAO0815VpLUUBedkuRWW4iCogCooAosAUKjHOewaF4UfHYGYmt8HlHJwDKuwWLARsAYz8oW4Usi4YOk0KDQRm8TT/8oHBaztbobbnNEBVQE1EIcdbtqAzeYa7PQU5sgL53lfZtETBkweJ8ADS4WU/LLYaimL/9tE6fHmfZKYwIAUdX2cX77UWdc2wB+xAFgWM1JUWKkmJ3cs7SOT7C0hU6KTpDYX9/ATXMFcZ/UWvzWjop2RSG9IH7Fv3HmoNAaQuuUo37j7EC9uKfP7+bpSDsUDsIqNIMyPUj7hv6Az1xfNuPuO+mrpCuETXaEf3kfp4e7mUYaqONKvCGLNhy22OHq61rPFdxQw7t88sGA1wUVrubtwZGZMBxjA8jcFifFG0ecxecd+j5VYNd1yhM98WdHAP3Wdq0z8FlvU3/9rZK9XbAfYImcDqfFC0ydJU1rLYDCsMOZSyVEA+C+QG0BgAeFw/SP6ZRY9/0nQXTFAycZc6Xfe40HxH6+7goB2/8PA/76DVKq0W56pc9P3K/3VFAmMfuzPU8RyqAd55qyrWWooC87JYis9xEFBAFRAFRYEsUGOQ8w/Z8ALggJHZtAjsh31RTACQtylraxIBvGTItGjokcRbC1YlIAfxeTOuEiAFoCIh3twiAqnFOL+A63KcAftjaDygJaHZd9zgLteSYDFzRRuW29juxAUUBZpFDC1CLbFPMFxyacO8iPkJNEUN6JaUwEMUMx25iQEiAW9zzxVWDC4nhfIB8bKdHw3gAeEcB/mGORoDtmhvQZc2jtKG+zxjukKEr7HRFP7GVPdVN0uWCb6pKnAl7UXdZW7ieUbDubsHmKIl4jIhj6I+SaPkhHwPXsh9FrOuvnOTp8+Mcvau0GAKj0Fy17XNRNMDMGGJbmsqF526aLgPa++/Hj27hHERjIA8Y4BsO50FtmIMXxyYFXYNcxr1QeJrnAKAart1Ky6WvTht0Xnep7SPqAlENKoE5Y23CsbufsQixIIhmwHpGbMaoeJBhz/4o93KSnQXrnGk7bq7m/V5c1v2S7GgYNMZFfNjov8+mfySY99qQ622nAsI8tnNeFz0qAbyLVliuP3cF5GU3d0nlgqKAKCAKiAI7oEDsPAP0Yvdn7IwMIoZ7h1mTwRrAHwAi/of+uuRJLgM6TAoNYocq4B3AIIDYYd6krKnfAlKAuDflFjXdgCMRACgB0OCgBFyMYbCtqRMVZup1Yv/L6wpdN3yqtHwGs8jWBbjEnFYaPqlqirNo4YIF1AXMBYQE6DzIGR/0M3a1wUp7lLPp/p7NYBf9HeY2xVzcNFx6ftVkCFppApx2+HhLU3jcp9UWZ9dahsLrCHEMiGWAMxgwEYXeGl7IHxYAGeFyBYYGAH9XcSnV6dBBziQA2Dt5i+4UnLHF4DBGwNq8o9GdnE2fHGQ4DxlRFS0v4v4hLiJ2/2KN+0HEGcco24YIjJ8+KFDG1PltgOfj9XWbxwINkbHb37qO7I8zeOPjJt2qPqkrNMlzAHd+f24x+vv1WZ2CDlzSKj1EZvD7wn34DZAb8RZw7ib56NGryyROyXE7C7Yp03bWf7VMujZmvU/v+ZPuaBh0z0VEk/TfZ1s+EsxzzuRa26eAMI/tm9NljEgA7zJUlnvMVQF52c1VTrmYKCAKiAKiwA4pgP9h/NVZjeEgQC8gz37apKytfeSM7C9+BQj85CCzslzeRUOHJNDgl6dVdvDCDXmUNele0eH8VYDAuAEExzEK5abPhboQOXBc6MJgbINPUpipO3dV+u6iyZm8yElFvAIa5tP1QwbzcJpiPuEavs1X7XTYTdzvNMa5kwKZGDRhHCg0h74DngIGAwwe503SVZW+uajRl+9qFIQhg1/k3OK+yMkF0MWf4WoGbEUDfEUsA/4ZY0I/EReA6yIW4W7R5rgQA/byEQ1g8ZvzOsHRu5dGhnSG2kHE0SOAswDs/e5frPGvz2sMeTE3yDj+7CjL8ziJgxf9hYsaTmzcI3Zkx90c5+CdJtcV+mAOhjlr0W/cd1BuMSB/w/Xp0X6G9myDjgsWx1LgQwEKr/VrPOlHj3i8o5zogyDd65vmSIf1pDEh2/gKn2ZtzCszfZFwf15zJR8J5qWkXGddFRDmsa4zs979EsC73vMjvRuggLzsZFmIAqKAKCAKiALTKbBIYDNdjyY/axnQYVJoAChZaXtc5Kvuhgxr7+btjyBi2wvo2RVyXH1q+QGZusqOSTh44W5NknULpQC5X1436JfvauSYKufGInLgTaXFoBaZB48PHLL1LvjtbcPiIcZtqe4HTYDbiFG4qvkc/4DCZrHrF6ELr6+bdFprUcuNqJg2GB4isqLRDqhDKXbrPio5t7AV7lkUpQMwRlGvt+UWxwZwrETaYHgOl3Q/PB20cgAMkS18p2Bx5ANcvHCjxhnIg86Bm/hf31TYiVt0NHq8n6FHe3D/js7gBcxkaE5EhzmLIzF6C+qN03XUWut1Gfc76fczJt93UOE9zDE+PAzKLUY/cR6Ae9426MGezUAba+jhnkNZ6+M1k+Sjx7RxCqtwqE7+1lnNkdOujWHzOM0oNuHfFauE4NNoKueIAkkUEOaRRC05NlZAAK+shY1TQF52Gzdl0mFRQBQQBUSBNVBgGYB00cNcBnSYFBoAvMG9CYAJbXtjAOBS7d1mnkohpiDFmccAlQCWjDAnyLqNNe3fnn8fxcuiDjtN4ahFX+BWLQ3Jih1V4G2Y07QfNAHsXtd9jlhA5AIArhdE3A+OX1CJXlw2OWcXLtj7ew4FQYeumi69K7e58Ni9gt11F/e4nQF5kU2MmAVASMBVgEy4kXVNoZJjsNM0LmA2aJ3h2s+u6vT6pk26kqJH+2n6T5/ssRN4XEPhsWcXdbpp+Qzqf3ySo4yhMyy9brp0VnFvM4xxLcBd6I0ojq4DFvEc3aJucZtXDu0gJz3GimJ6b2668RCA2OgLg3Q3IBR+w8eEvK0TcouRdXzb34xBqoLIEI0zdrEeR7nzJ/3ogVzlWSJdlpUxO24trPrnSaD6IndZJOnHtHB/XlrLR4J5KSnXWScFhHms02xsTl8E8G7OXElP3ysgLztZCqKAKCAKiAKiQHIFFh1xkLxHyc9YJnSYBBrAjZtkmzmcvgC9AIRwaY7Kuu1XZ1iBLfw9AC+KqwGyDsqKja/FUQRRh46yKCjWLbaGNigrdpDWgLlwh55XvVvgCdgYFzrDdQB3AWtLGZMelhyOj4A796Lu8b0OMohL0NhF2ttaQUgvLxtcaA3RCgDBOB8F1JAlDIgK6DusAWw+u6wz8AZs/w8Pi1xobVy0A67X1bZGb8ptLviG2JKnh1lKKR16V+5GIgDY72cMjhTA2oATFg5jx9S4r73weVwO7awfKpCvjI8D6MfzywZDdsxtGEVUbgY8ZsBdR+9mDvtRNyqjt7845m2lxbnQiNcoOiZ9cSc3MHt50o8eWE9wdZ8UnZVFuSR/q6zXGbOujYJt0NOj7FwGtSy4P5fOEvGHJqzzad6v8+qDXEcUmJcCwjzmpeRuXUcA727N91aMVl52WzGNMghRQBQQBUSBJSqQpDjToG6N226+xKFwFMGLqyZHHvQX0Op3zs7iKIzHNAk0mAQGwyU5SwMk/fa8wREN2FYP5yga4B6cm3DhwqwKcBoDDgBoFHWLG9yoOB6ZtielbiE2tEEO3n7QhCgGfCSAy7bpRZyP25tp60cR/fu7KvcFMBSw+f57QIvoAIBX/D1AKBzM6H9vdALiHZCHC6cvCp4d5Uz6wZ0sO4ZNXeG84Xt5+4PxxOPCeAG4L+sutbyAHaq//qDI9x/l+u2dD2TT/uPLG47QQL8AqOGILjddQsGyy5pPyMDIWDqhOF7e0fnaKALXG80wLod2Xk76rKXSL97VqNr2WDM8E4i6QN8Ljk6akrqdH0DXewWH+3xSsElRU1yAreb6dF79PmYCxfmwNkoZg129/W0Z63yWZ2TTz53X2kChvFnfN7GWAvc3fVVJ/zdVAWEemzpzq+23AN7V6i93n0IBedlNIZqcIgqIAqKAKLDTCgxzfyYRZVzBqCTXmvXYdYUOk8Dgacc+bA5jeI/sWrhl4XZFfAK3FPEWfcAewMhBDt5B8B6O3GcXjQ9yXuGMQ2Gvs1qb4SHiE3qbF4Z0Wm7TV+c1dsQ6usbgE9AZRdNUBo4djqmAuxT9ROG1W0hL3cxbjAOANm8hesBmWN1JdV21dwv2R5ELcVwCYCXAMNy26BuKpSE2YRIHb9wHwHOsc7hZj3MmwVUMBzEAKgA1AByyfRFNgTEgGiEGyNBxkq3q83DS72V0LqIGcAsQDwd37X00A+YbznA8I4DuiLjA/GM+TooWu3mhu6ml2M1daQXsuj7ImeyQ/vQgw87uUU7cRa7zaZ+PbThvHmsDznxkfD/Y+zAyZFZ9BO7PqqCcLwokU0CYRzK95Oj3/7Wvg/82Ik0U2CAF5GW3QZMlXRUFRAFRQBRYCwWGuT+TdG7QNv4k5y/i2F2CDoNc2G4Q0XkN+bYtum56DEcB+AxV5S38iINARiuAHv4MSAkwiZxeZNTCrTooK3YQaEI0w+vrNp1WWwwA+6Mg3DCg8wr60KTzusu5uYCMALvoO2fhpoiCsMN9ACSFQxYtLrQGd3C55ZPnd8g2EGGhkh9EDHwRj4Ct/8U0nLMa5/k2vS50BXyGo7XaCugCgBfxEHsZeowx9jiYx63BeI0DdMIF64cddh3HxcugHxzQ0BMxE9A2iWt8Hk76r85qDHMtTeGcXeiKMV81PB5/3tao1upqAlCPSAkA8oyhcuZuztb4AwBgOODvYdagcuv99TSVjnMWpS2VAfyoAmzjtJSfJ1NgHmsDWdIoYgjAOyxuI1mvPj5a4P6sCsr5osBkCgjzmEwnOepDBcTBKyti4xSQl93GTZl0WBQQBUQBUWDFCmybg7dfzl2BDr3gNWdpDPowt+fVNp1VXXab6mqKCmmdQPUAI+FwBciD67bthfT0OEPHWZsQuRBEERcSwzn3S2nC1m4A4i/fVdkJW2+H9GjP4a3+gJvjHLwoRgaXMH4BgiIuoIk+BiHDQtSWC6PUrYMX8BUAEiC47QfU8ELO67U0lSptn6F0ox1Q1CHK2t14AThmMRY4c7tOVIWjBxBFUW369LrcYkj55CDDBcSStH6XOuBpnOnp+RHHQAD6Qotq2ycA9ijq8L3Rj5ylj3S/zuM5/PnLG6q0PZ5fAOzDnMnF1uCsDvyQ/A6R64esZRBG3LeWG9B10ydDhd4h5WyDQS8gPCCxmiJSFMDebmE7AO1JCrAl0VaOHa3APNbGOu2ykPkWBUSB2RQQ5jGbfrt6tgDeXZ35DR63vOw2ePKk66KAKCAKiAIrUWBT3GErEWeDbooIhm/O6vTdZY3OKy5lHZ0qTb+7Jd/vAj0cA/iJzNoUYF8QUd0L6LrhkY0sW0unh3sOpU2d83QBWAEJ7+Qs+g+PSgxPvz6r0+tyk3RF4RgCtLDTjVAYlsGLn8NJXGl5dFn3ydG77lwv7HAEADKTYeGF6xXuVziAERfQAb2lDv/5qu4ykHaD7gbDIAgpJCKYcLWUQjlHY1CMyAHbUOl+0eHiaxhvKa3TP7+uUK3lk21o9B8fFniMk7ZJc6ZncY3P6qTH+f/6tsI672cs+unDPEN0OKtf3TQY8MO9jTkAPEfWMcAzgDtc1Y12SAUH+ccWu6rxC5nNXhAyQIeeJ0Wb9QQshEMaubzzLNw16Xzs2nGzrg3otY67LHZtHmW8osC8FBDmMS8ld+s6Anh3a763YrTystuKaZRBiAKigCggCixZgXXOd1yyFBt3u16o+OKqQd+c1+htuc3O2Dt5m8EcgN5FDcA2ZMgLd6tjIq4hxeAUzlZNVajo6Az+8HO4URF5AOj7g+Msw1IUO4PzF4Cvt5gbwhEe/AAAIABJREFURIPbF4Xa4NTFFv7e4mL4Oe4D5+2rqyZnuAIkou8ofNZ1vyIiwOAiZQDQcOgCTt80XC6QBsdwztEp5OzYFN00fHL9DpUyyBDu5sj6EdzAKjtNEfPw2WGWHbzoLwq8AWjiOj+5X+Dt6pO2QVEVo86dxjU+q0sT+n97UWctnx5meM7Q4Kz+t7eVW8c2oi8QgwHnNbKRoSP0hav3bsFiQI4sYawTOHUR1QGX94/u5m9ziwHa39y0CDHJKNA2z8Jdk87JLh0369qAVuLg3aUVI2PddgWEeWz7DC9mfAJ4F6OrXHWBCsjLboHiyqVFAVFAFBAFtlaBdazQvrViz2lgg4rJAeJ++bZGl/U2w1zEEeQcg6Fd2lC5oBm7dtsBO3cbrk8tLyJD7RY7A9gFXAXo288anHOLc+H8tA2FspZGFzWPnbQAv7GDF0Nq+gG9vWmzUxDZtAdZkx2kcUNO70XVoxfXDXaHIucXMQAAkt+c1RhAolBaCfm7msqn3TRdKjd9hlO4J9yiGVvj7F2ASUDsbuavzv12TIVcP2J37oOizREEGVNnUIn8WRQNY8evotA9/Lynf8OmZVkwcxYnPc59dlmnX76rcpbx58c5enyQ4SHh7wD9z2seZwfvOQbDXTS4efHsw+kddDrddWJqdJAxuRTfVdNj/RHPgFiL3uzWpNB7Tst+Jy8zy9qAYJM60HdSXBm0KLCBCgjz2MBJW4MuC+Bdg0mQLiRTQF52yfSSo0UBUUAUEAVEgViBr89qVG55nNmJrfKAd6MAGMCXbNVe/voB7IGr9flVk/NeAecQWwCXbsMNGO5+e9HgAl+AnRERg9mcoXGMAYAu4G7bDajcRjRCh52wiGiAa/bBXpr20ybdKVi8BuD4bLgh3TQ9hsZuGHFeb9bW2CEbw0Io8fK6QTXXZ5ALly4KtvWuoXeVJjtpEf0AkAuX6bfnDaq2vG4/TY2eHGYYwCKf9+vzGr28bnG8wHFep4JjMrS+qnt0ybESKufcaprCUQK4V9ZUqemHlDF0Lqj2YM9mmAvHMWIq/Cha2zU+rZMecPzL0ypHdBzlTfr0IHubMfwvryv0qtygZxdNBveA5GgoXndZc6nudtcPspZRXA3uXjiwMQeY83eVNn1ykKaTgkO/cpK/XfACDZf77E+7NtBLgfHLnSu5myiwaAWEeSxa4e28vgDe7ZzXrR6VvOy2enplcKKAKCAKiAILVACOUGzxhqMP270B9pCFmjbVDyAewA6OgbNPii0tcEL6Lh1HMcAh+/qmxQXHADoRYwDoiazc85pL7yotjkmIopCafqfr0vVDjjFImwq7ZBGf0I09QPGygEqOyTm1Vw2fAR+yVj+/k+Pt+XGLgT4ALeAtoOtPToofRB0AOPf3DXAZIBYguNxyGeg6hkINL+K/B5QFXMR/sOUffcuYKn11WmN372nNpcOMwY7gjKWz0xeQGx8hkOELKIxuYhxlxDYEEdlmijqdFP3kfpGOshY92kd+rMNDWec1Pq2THmvh5y/LDPfvFhz60b0cR1aw8/O0St+e13ltFG2dihmDFEox6L6uexyboSow/qYoCDocaYF4C8D+m7pHN3Dw5kwG718c5/hDQtxk2/9yn/9nFw16U24yiF83B/rylJA7iQKigDAPWQPTKCCAdxrV5JyVKiAvu5XKLzcXBUQBUUAU6FNgmizOVYoIp9eLqyYXvQI8hNsTQAcwDRANW+8Bk8KIeMs+nH5wRqIwFzJapc1fgf4ohl+eVtlZeVXzGbTuZ02OSwBsxzZ9F3PG+bUpavkRNdtw6vq8TXs/Y3LGbimD+AXk7EY8r4hjUFMK566irhmg6P2SzfEHvQ2QF7Dwou7C+Ev7ObhFMx+4dAFa8YEAkQyVZsAuYkQlmFqKrhoe39MLOrx+gAoRAwGwa2mAvUSVNtaeyxmvWGuAj8gSBviFqxR5sIgSQJ4uxoOOwGGMol9wpQLyIisYEOzTo26swK8/LN6CyUnXuB90yNBTHGuQNnR2sRacrvt1kW0aJ/3rmyZ9d9EgVM5Dfu5PH5S4i4DhAPL/9rbM6wOaxEX2giiim7rPMQ3IX8az3S2s1gW80B7nA8DjnN4M3nj8UrhrkSvh42tPszZkl8Vy50juJgosQwFhHstQefvuIYB3++Z060ckL7utn2IZoCggCogCG6FAb+ErgJO4AaYBxgGwAVKtYxuU7QpXJLbCd0GdwmMA/ANghDPSRoirtLkr0A8jAXav6z5vq4fjEiAOEA4wDk5M/A5XJnJUi2mToSo7M6OIs3EBbwFFSyiypaQoCDu3jl50HkXScL3jnE0nJYss7eM1ij7986sKZSyV3bIPSs5HcR5w8gIsAeSikFe97XMGrOuHXLjNNrRuoS9KkZoiciyVj72otSmIiJ2oyPPFNeAAPik5DIDxoYEhr4r4B2T1KreaA04CQEMbuMstTaGsbXBBtadHGbL079foqDUOEIpx4cqAz4aW4vHh/GU8u9M46YdFZ+Dv4ah+xdEZAbvy4yJ7GBfeU8heVlIdCkLA3xRpSldnaIk5wnpAQboHpTQ7u3t1FAfv3B/5kRecZm3ILovlzpHcTRRYhgLCPJah8vbdQwDv9s3p1o9IXnZbP8UyQFFAFBAF1lqBbYKjmwyp13qRTNi5QTAHsA3O2POqx+5puFrdIKBX1y121cL1Gn9EgOMUxdHiBlf2Rd0jQ+1m9QLeYWP+D+9myXwPcq8aLgVRZ6iDF9eCE/irsxoDQ0BUU1cZvg6K82h4Pp2WXTqttTkOAsfjeweAKY7XtRT5YYedvAC5GA9g8M9flen5VYOzQ+8VbMpZBhcPQ6QDPoz0QsZ+OdG/t5UWO4XhLv9PT/bos6MMX7u/9a5x6I0YA2gMIA5gjLFBr2V82Oh1+zfdkMcAUD7KSd/rMq61Q46+uGkEHNkBKBs7eAFiwyhiwO8ycA/52tWmzzo12alPrCs+4CA7GefjzwDwiqLwnAHmx1BdMngnfJDnfNikDnTZZTFn4eVyosAaKSDMY40mY4O6IoB3gyZLutpVQF52shJEAVFAFBAFVqXAqP/hjW3OcMRhGzlAzibFG2xazMSq5n/e9+3fjo0oBhRaum64DOTu5i3OtT2ttjh/9qrmMqAEoIW7+jhn0n7Guu0WgNxl3SNFRZE2nx3ZcJIj/gCO3RiMwr0JwPdoP/1BBm/v+AAMq22ft+8j3gHwdlicB/J/8WygT4hgAGiNIWEMTrs5ut0ogEOM87pF//Dimm4aHpUcg4ulIQ8Yx0/SAKqRMYyCYv/xUZF+fC8/EgqXmx5HHABIQxtk+8LtCi0W/ewO+5ACAAvQaxqArCnWO3bSD3IZw12MCAzMhW2qHJ2B3QPPLhsc6QGAvZfROVMXYBgZvPE8npddPgeu6KOsSQ5HYOCfu7nM0AFA/jHWxPs52KbCXZv2jtumD4mTPM9yjCggCnyogDAPWRHTKCCAdxrV5JyVKiAvu5XKLzcXBUQBUWBnFUiydRZ5oQAusnV28ctl08BNrMigYltwWsKpe1Zrk6akaC9tspv3ourRddPjTFz8P0C7uhvSUd6i46z1QYwBtudj2z6yamstn6MS7hcdOsgZnKuMeIejvMlF147z38Ph/pmKs1cPsxaZOrJ0U11HaA+EBIwFROaPGp2IYSWybBHnMQqcAvT6fkT/9LrMkQ6ISbjzHmZPumKuGm12M98vpelXT/L00wffZ/D2X2NVz+6kkA5rGDoAugLYjnIZA2pjHSCiAo7oH97NcQ4y3jfIRY5d31g3jXb3PQQAfFHHmlKp5Og873BKG5rKzmrM64O9NAPeeE3gYxX0RXbyvYJDjw/Saxs5M2rNbPouhU3v/6TPsxwnCogCAnhlDcyugADe2TWUKyxZAQG8SxZcbicKiAKigCjACkjxm/VaCJsOPuDUBUQF0I232wPKvb5us2MX7koANxQjQ/YuwGze0Tk39rSKY1wGfDgXx8UNALbthcyC3TAiHxm6KJBnarx9H/EOgLZ3ixY5+vCM6P7sVbiG0QdcP86cBhhE/iuuCZgJh+mgGAc4h3s/esA1et3wCS5cOE0RMxCDyUlXGYqOwc36wzs5+ukDZPBmh566imd3Grc/8pIBe/GfYS5jgN13lRa7sYNOh93SyM31/Iguai7P+0HWZHCL4mpYX++qbUq9L1SXtzXKO123NCIb4BhGATbEM/zoTo4znwF3N71w16RwfVNyxjf1Q9akz7McJwqIAgJ4ZQ3MroAA3tk1lCssWQEBvEsWXG4nCogCooAowIWKnl006E25yVXq7xVt3tY9rm2LC27cOJf5820AN4A1X76rMuBFVuqjPYfjCwBMex28Bcegd+UWg7p20KGDjMFOWrg4AYEBRnO2zlELWqpbjAyOTWSwAhYiDuGm7nZdmakUA1i4d7OmzgW1hrVR2au9oAnPRM316bTismMXkHDUcxGDQzxPcCsDgrb9DruV0QAmJ3mukDX7b28rDDcBdn/788P3ecMfj2gVz+40jmH0MwQ573RIVRXKGNpQWA6Q+815nepewNpBM0w//LiA3ph3SAoYTFxcrUOVVsCuXcwBitihOB/uicJ3e2mDDnIm5+/io0G3cF7E6wZ5yE8OMhtVZHEauI4s54f4EGIht1qaKCAKiAKrVUCYx2r139S7C+Dd1Jnb4X7Ly26HJ1+GLgqIAqLAihQY5LactCvblGM56ZgXddwywM0ynHKIUPj6rE6vy03S3xe3gmYAfM8vG7cZvPsZnYutIZ4Bbss8CpERMXyDgxXXARgGoLN0hcKwQ2c1lwEfPkQA4r2ptDhr9hAOzbs5ytsGOz7hXBzWJlmzs4LT64bHBdjeldsMZ3E9FABDRuw4SAzdLqou/eA4Sw9LafqtHxwMHcsqnt1pHMM/f3nDcBbfjZBJjMiJUTq0vIB+8a5KtXZAxbT+vnBch5puwNcBZAac5UJ0hsoZx3BzA/5f130+D+sNQBcxGzgWcBNrB6DzTgExDpsHPaeB65sMsxf1rpXrigKiwGoVEOaxWv039e4CeDd15na43/Ky2+HJl6GLAqKAKLACBYa5LSftilSin1Sp0cctGtwsM/Kh6QX07XmDXl43GKLBuRo35KheN106q7iUtVWqtUKOMtBVhR24cbuqtxnkAdTC+RtERF4QUsMNOHdXTRH5cG62PXZ5fnKQofslh35yUuRt+MNa7DqH8xNRDrGrEfePi2/h3FnB6YvrBqkphV28cJimLY0LruE+gI5wmwJexw3PEbJ+ERFxXnW5OBhyY3/z0/0P9Osd1yqe3WnAN9YDoi5++a5KyFb4/DhHJyV7ZIQGxom5+va8zgX4MqZOhbTGebwvrup0UfdYWxShOyk6HMkAuHtebbNDF45fDfqmUpS3VXZS43pw8aIA32dHGT4PcHiT2jRwfdPjKDZpfqSvooAoMJkCwjwm00mO+lABAbyyIjZOAXnZbdyUSYdFAVFAFNhoBYa5LZMMqj/PFE5FackUWBS4WUTkwzgX8Kg11fQDenvT5vgGANvwfUGtXgcvlEMxtbrrc7YtiqDBuckFuFIpztvN2jp5fsiAt+l14x1+45Mi7Wds3nqfNj7O3wXge37V4CxXQFZAQwA/NLBAAOZSxmD4OihiYtIZjT96ANYC6MJ53PRRoE2laivgXFjAZLiSEUmBTNqWH1EQRexaxjn3SzZ9dpilnzwoDr3tKp7dacA3oD4XQ7tqgKvTw31nbBG8eNCx2/puwWL3M9bCf39e5ggPgHPLUPl3ZPMCl8Ohq6kpzuxFrjIyk9nx3enQRd3laIinxxn60d38xhVVmwaux6B8GwrKTfr8yXGigCiw/goI81j/OVrHHgrgXcdZkT6NVEBedrJARAFRQBQQBZapwCi35aT9AKwDbELu6ZPDNGeHSptcgUWBm3lHPkzqAh7nLIWzF9m2cPECggLM9WbwApCicBbWFOIXog7ybEMu0MUAVnu/JT8M6eV1kx28bthhAPiQHZoGu3njmAZcDy7h7y4a7JIF3AUQxHGc8aqkyNS6DmKcg3zXlh8yEOyNmJh8RomLeMF5ithZ3AeQE/OBjx+4Z8MLOXagCybfFx9DRC0Rxwc82kszhBzlMF32sztuXgfpg3OeXTYY8ALSA8WmTY1dtMhWhvN2VOvfIQBwj7lEBAhAPPTqb4hjyNkamTrgLzTuMEjHnF7WPIbncG+jON8mtWngej8o39Sxb9I8SV9FAVFgvALCPMZrJEd8rIAAXlkVG6eAvOw2bsqkw6KAKCAKbLQCq3ABbrRgC+j8IsDNPCMfpnEBwyUL8I+iasc5izLW99AfkQvYss+A8qLOINf1O3SQhXtWYxD36rpJhpqiVhAyyAMYRb4u3JjdTF6V2kFIZ5U2qWqKQTAAdL0d0F7WoD3HoHtFhwErgCBiD1KwjxLqfKU4sxfXQQ4s3J04F/3CddNm12mL7FaASEDlXlCoIc5hDJiMP3ogGxZAF5Dxqu7RTcPn8QFcgmzjN4w/6hAVHZ0jI3DPSQpiLfvZneZ+gNiA8ADeugodiJ21R1mLQeuorOT4UYt3CNzJ2zwn5ZZ3W7wPugEiYw4xl3BG90Zt9D6umxwnMw1c35axL+CVK5cUBUSBFSsgzGPFE7ChtxfAu6ETt8vdlpfdLs++jF0UEAVEgeUrIOAguebjIgqSXHFR+s8r8mFaF/B+xqCLmkdvyk0uiHavaH9QVAvuVrhaAeueXzTpsuGycxbQFQXK6m7IRbMcQ6XjvM2AGC7b/YzJEJa33NcAbYlzWDXw4w6KmrUYoKKgFrJ/sV3/uu6xS7fa8vl6Tw4y7KqNiNhVW2l67LZ1AxTxCgkFvjAvgMsAkYDBALFxwz3hJM052tAc2d7YkvtFm93AbT9iiAzXMqA5CoQB8sKRXHAMdr4jtmHSbNhFrZ1h63caxzCgMGD+abXN8wfQDeh7nLPppGSRxRM3usWw/Oj9PGCtzOKs9qOITgoOPT3K8FrahDYNXO8fl0TpbMJMSx9Fgd1QQJjHbszzvEcpgHfeisr1Fq6AvOwWLrHcQBQQBUQBUaBPgUU4SLdR5EkjCpKMfRHgBg7JZxeNoXB1WP/iAmSKQnSv4HCWLaAQxg0YC5csMk3hcO0vEIasXGzD98KIz8M2eXanBgG9uWkzWAWgg8syboCdALLPr5pUaXl8L0BQgE84dTGOTw8ynJWLXFpA2ThP9brRBaYHOYOynKWbZkfw23KLXt206Chncs6rF4bc/1o7oMMsnLFpdv5eVF0Gj4CNyL5FdAPuZygpzst9V22RqaqE0FjEPeAecIZi3HAWI2bAUFUytBSPq9eJOswpuoj10/vsAmgDEMeRBOOcxnG+7aTb9qdZq/N08OKjgUIK5+/2F++b9Jnb1DiZaeB6vyabOvZJ51aOEwVEgc1RQJjH5szVOvVUAO86zYb0ZSIF5GU3kUxykCggCogCosAcFVhUBuwcu7jSS00TUTAqO7V3MIsAN8gZHRaPME7IXugHN6ttKkMBbf+1AIgBaQFL7xXhzuyC4EGAGO7YajNg5ywctF+f1+ii7rHLFu5M21Co5Bj0CQCvpbPTEuAU8BUxDIDAe5mu6/Wk+P1Wfxzz3UWds2vxy9I1uqy1Oel2PwtXscv3QMZvtelTpe2zUxgOXwf5uGqKYfCbcreIF857gMxWjnQwSddSDJYRFYCCX3lHYxdqb2G3/sJgsXsZkBqQeJ4OcGj7b28r9PVpnepeQAcZ8xaij3Ia98P8xwfpsUXHpnEMzzODN2/rpKYUhu/i4LXGPcof/VwcvIklkxNEAVFgQQoI81iQsFt+WQG8Wz7B2zg8edlt46zKmEQBUUAUWH8F5rWlf/1HmqyH00YUTJKhip5M44rsH0EvuPnkIM1FrQB46+2QHu05H7htx40+dp8i19YPOuxQRfRBf8TCsOv0g0O4Si/rLrX84H0GrUc3TZ9Px7FtH5A3orYXUMuPCDvmkX+L9AIUynp6lGXX7m1WbURDwWrcp1gPLaVQxlTptOpS1tYYDNfaHn132eQ/N9yA830dU+N8WPSx3ERhtE43uqEVkGMoHMfwxZ0c2YbGsQ9wMiMGAiC4HzQD4n57XmdwDefx3aJ1G+MA4IpCbsj0hcN51hZ/ePjqrE5wNCPrFg7pvK2RoihDncb9IB4RF9B5kjaN2x/ub7i7n101YIimh/sOu6sBxce13g8OyDPGnM26thH3gSJrmNNheb3j+rXsn08D13v7uMn5w8vWWu4nCogCi1dAmMfiNd7GOwjg3cZZ3fIxyctuyydYhicKiAKiwJoqkKQoF1yD5ab/wXZ85JpO6lpdUwk+6lYSTQZFFEyiybzBzSf7afr2okGvy82ZXI5vKy124GK7/4Ni+oMiaePmr3/rP6DoV2c1en7VYHct4hgqzYCds6qqUMHuQk81RfSu0ibXj6gVBAxGM7bOwBJO3HHRCHG/AACbbkBBRGQZKcLcoCgaoOxXp3Xyw5C8sMOQNe/opCAIl4gu623Ox71EZm+K+BhNwU9SHE3xoOSwmxhF49AASnujIuAqBfTFr2Ja52MAJeH2hUMYGbQAvIhzSJK1O0jv3g8P78ptenHV5LgJjBGQ2TFVQkUzgPHYaYzICWQT47jeKI1J1mnch2nc/nCpIw7jl++qnDn8+XGOTkr20Pzi+F6DXMbIU56HOx2A98GeM24pr9XPp4Hr8QCSxnGs1cClM6KAKLB1Cgjz2LopXcqABPAuRWa5yTwVkJfdPNWUa4kCooAoIAokUWCUWxXuQ8AiwBq4K7GFHlvkkYU5qVs1SV9WfSzAK4DUddOlt+U2b9/HNn1N6W6zH+T8m9YZOU9wgxiCb88b9PK6MXVO6WmlRd9c1BlE5myVPjvMTeUChlMSQBMgFWDwy3dVenXTJABJVSHuH5yziHGAnjlbp33HoOfXDYImCEh4tJfmv+/my6pji5th3XBMhB9QGBIhTxgREIau0OtrxEcEXPQNrZD+Hu4iq/em0Y1soKgD0zLdNDwKOh3KcQYwAK1Kdws2nRQtso0uwMWcnyPuAYXT/IjBLVzBcNLeKVhcAA5/xnGIrsC6mvXZGfThAfAYfXCDiCrN7u+A1GiN9wXdcF/kBgNs3i1YUz+707j9f/7yhq4aHhfFQ/TGTx8UP8hj7n/ehz1L0wDmeJ7e3LR4PSBfepJIilW/g/rvv8tjX7e5kP6IAqLAbAoI85hNv109WwDvrs78nMb94sUL+su//Ev627/9W3r16hWZpklPnjyh3/u936M/+qM/IseZ/5d/ednNafLkMqKAKCAKiAJTKbDIvNmpOrSAk0ZloMaFsE6rbd5q/+K6QW0vYkcmtuqjwBjcpICWiBBABmxvmybbdJ7gRlNS9PVZfSYH7+ubJr24brIDFPmz90vpj2Yh7HQoCKOhBb0AWQEcATcPsgZ9dVqjq6bHubtpU2Hd4ALHekNxs9hpiuPja0OXrKnRftbkImqfHWfZiTuqxVvRAWTdoMMRCnGUAoAtCo/hdzh34VCOG1zFuN9V3SONIyE6BLcoXMaIcADo9oIOO3lR7A3xAilK8fjPam16ddXi9YBr3ina9Olhhg4z5kTF6JI4aNHfYYAVcR/nNZcduhg3xoM/Q89ay+ff8TEGY/jsKEsnRWcq130SZ3vs9sfvuD8mGq7tjKENLdg3bofANIC5Nxs6SSTFAl4/M11yl8c+k3BysiggCqyVAsI81mo6NqYzAng3ZqrWr6N/8zd/Q7//+79P1Wp1YOc+++wzBr+ffvrpXDsvL7u5yikXEwVEAVFAFJhSgRh0AtKBy8Rt3jmiU3ZvqtNGjSnOVQVgrLY8+ocXN3RRd+mq5nEOrY5t9ZrCDl5EUdwr2JQ2Nc6HPXzvLo07Nc126HmBm3lEPvz7WZWhKIDmk8PMbSQBxgdnbFwcrX9dAIDnHI233jMkvmoy9ATARcG2dhCSqSrsyL1ueOwyRRYuioN5PgqddTNq20HAub9w0+pKigqOQUc5i358kqP99Ojc1lj7oxzyWkMCqK+7Psc++GGH3CDk++5nDAa0aMDUp+UWndfb1PY7lDZUBrvlVsB9QYREztQopShcZM1SNXqwZ/OawBXKTY+umi5nFqOf/+sPDjh/d1ib1umN603yMQAuZeQY49i44Z4oMIcPFIC7P7qXnykHeBq3f7xe8A4BSG95ETu3HQPF+CbfITANYJ42kmKqF80CT9rlsS9QVrm0KCAKLFkBYR5LFnxLbieAd0smctnD+PnPf06/+Zu/Sa1WizKZDP3Jn/wJ/fZv/zb/81//9V/TX/3VX3GXAHn/4R/+gbLZyQpTTDIOedlNopIcIwqIAqKAKLAsBUa5XZfVh1nvM86VjIxUbGPH7+WGy39GDitcnU0/oqINWJdiVyeAlM6gN8VgF7ENiA64k7du3bzTFDSaJ7iZNfIBealwpgLwYlyAlgCjcEHi7xBngGJXyKjFWBGx0J+Pi8JagMEAtVlL4xzYi6rHfwZ4bPsR6ws9AYYBTrtQOWLAirgDuFDLLY8/MCBW4Chr06+e5FnvQa3XPX2csxkof/m2SqfVFp8DeI8YBhh3c5ZxewkURINm5TYcu8jrBbjtUDsMKQg7DPLhegXMRTwJoh2gSzeLN8XgFNpoaop+9aTALlnEOYxq0zi9cb0kc4tnF79wL4y95QV0UffofsnmImOzZtCOe64GZQ5jDID/mH+sqThWImlO8TSAeVviZHZ57LP+u0DOFwVEgfVQQJjHeszDpvVCAO8cZuwv/uIv6A/+4A/o8PBwDlfbjEv81m/9Fv393/89aZpGf/d3f0f/+T//5w86/ud//uf0x3/8x/x3f/qnf0p/9md/NreByctublLKhUQBUUAU2GgFtgGsrsMEjIIhDL38gJ5fNdlhWm0DJnZ4Gz8AJhyfGUulA7hGU8TOTxyHIl0AhpgjuFEB+rCNH66PNj4tAAAgAElEQVTeGD4C+PlRRCcFh54eZYZCyV6N5gVuJnF5jgKkyGZAvIGhp9iVWnJ0elcD3I2o8d7Zi6JhyJuN82UB7ADpAHLheP7uokmmlqJS2mQQDpDX9Lq5sMiihesVrum8rd/GGMBJW2743LVuZEOK6m2fndSArIiKgPsUubz9bZArFsf8/GWZfvGuSnlLI1VROAcW8Q1wCqMBIsO5e1Zu01nNZbCbtnReB9AAhd+QqXtStDm6AfMPF+xjZAM7OhmKwuvim4sa9/HRXoZOShZZ2ofRHYP0Tur0noc7G4XukI0MwPvFndzALOmkz+00bv9pzunv1zSAeVsKQe7y2JOuTzleFBAF1k8BYR7rNyeb0CMBvHOYJQXb0XSdfud3fof+8A//kH73d3+X8Hfb2n72s5/Rb/zGb/Dw/u//n703i5EsO8t2v5jnIeesuaurq91tt2nMYDwIJH4dfBAXXNlCAiOLQeKGC7ixhC8MlpBsiSvuLCQzSUjGAp0jAUIGcRDDL/vHNm7jtrvd7uqaM6tyinneEXH0fLt2dlRUzBk5f8suVVXGHtZ614qt6me/6/1+67fki1/84rP/EdHpyCuvvCJvvPGGZLNZ2draUo3m0exhNw8V7RqmgClgCpxeBeYBPk7v6Ofb80lcsff2qlKqNeV+ri7bpbpuFQf6AdNwlmr+6hMYSO+AkMVaS2EncLLV6WpOLEXAUtGQXF108/m3Smz3b2t27I3VxDNZvcNGOi9wc9DIB/JniVZ481FJwS2tUMP96peleFiWUm6BPa8BRGuttrpwH+QqGo+Ag/OVyxlJhEOaU9vudLTw2V7VBekU28L929u4BvoCzpkHroHjk+8FTmIcvNeXk0+5pYdlthLN8J8/3JXvbeQVRDOfuerTDt7HBaIZcOA2pNFuS9AnEgoE1P1Lw6lN/xcSYXUpM9eRUEBSsaD2p1BztI+bhZqbzZsmszg21sHLtad1erOeDpqvPMuLh0m/lbO8lJrlnP7+nOdn5nke+6Tr0o4zBUyBk6eAMY+TNyenoUcGeOcwSx7M9f4BjpMXR++v/dqvyUsvvTSHO5ysS3zmM5+Rz3/+89qpr3/96/uwt7+XX/jCFzS6gfbVr35VPvaxj81lIPawm4uMdhFTwBQwBU6dAvMCe6du4IfY4XGQk6zSjXxdtop1BXq4QB/s1TRagCJqAMalZEQyPdv56W6v03QhzgverhZeI67hYtaNajgoSDsouJkEbnuQsReQUkwOOAvI3CjU5Nv3c+pm7rRx5wZlMRGSGJEKT/JogZrhwLtxBMQ3/NftXSlUHVlOheVHLqclFgrLRqGqebug4nylqbm6/QXqtD/S1RgB8o4pWEZ0A0XRAOadrk9eWI3LpWxCVtMRdfkyh8QmxMJ+WUq60JmIBGA7QPRf3tiSd3ZK6gzmeHgy0RJk8Fbqbbmfq0q+1pBclTiJrjjdro6NY6NBnzS7XQn7A+rkpk/JaEguZqKSIGO325U2dcOEgmZtjW3AsfzccmJsMThv2U+zThjrra2K3Nur6Dh5qTBtm/XFw7T3OY7j5wGLj6Pf87jneR77PPSza5gCpsDRKmDM42j1Pit3M8A7h5n83ve+J1/60pfkr/7qr2R7e1uv6MFenK6/8Ru/Ib/0S7+kWbVnoXnxDIlEQvL5vMY0DGpf+9rX5CMf+Yh+9NnPflY+97nPzWX49rCbi4x2EVPAFDAFTpUC42IEAI9sa+c/4geBrFM12CPq7CQxBeTE5qpN4XfPuUscAI5V9CYflhiCC5nYfkEur/ue0xSoqEBQRNYzUc1qpcDXvLbCHwTcTBv5wNrKVx3JxIKakfrmZkm1QZNQAB0i0uqIdDtdzSEGekYCgX2w6sYk1IQMXyIZgKDvu5DWP2+VGpq5S2Ez3M9Z4g2eFK4j7gGA3PVpEoZCW/60nIyoKxYHL3pzHn/H3QtkJTJhUM6rtw0f7b59LyfffVgQHMlclzgFxpaNB2W72NC+7VZaGs3AzYlgoHAecQvMP2uBbF0gMg2AvxiPyMVsTNcO66ZQbek5L6wl9TPWwaRtGuB60h28k47ZjjMFTAFTwBQ43woY8zjf8z/r6A3wzqrcgPMcx5G///u/lz/7sz+Tf/zHfxT+7oHeeDwuH//4x9XVCyA9zW1lZUV2dnbk1Vdflddee23oUHK5nCwuLurnn/jEJ+QrX/nKXIZtD7u5yGgXMQVMAVPg1CgwjdMSZyVQ6axUhJ/XJA2CoA9zNXV93t+raUYuuaO9jXNu71RUTxyqbJcv1h1ptDqSiAZkI19TAEnRrUsLcXWT9rZepyluV/5NxD0AvCvJ8FyLWR1Ep0md4ThWd8oNiYcDGmNAPi6O2wf5qmwW6toFPuMXrdbsiNNxYyqArEQWNFpddT8TwwDoJb7iykJciEpAY2IQALjAcIBopwNspZhbW6MQfLiCgaq4aIN+uZyNyY2VpJSbjsJWrgF4JQaBKAyuAWAlQmMxGVbXdX+jKNmd3bJ8535BQfyjUl12Sg3N9m12OlKsuc7deNgv/JF8ZSIakpGAaoDblz87SngB/gG5uhiTTDyswLnUaMluualr7D3rabm4EJV4T3TFuLmbxsF7UjN4x43RPjcFTAFTwBQwBXoVMOZh62EWBQzwzqLaBOeQOfuXf/mX8ud//ufy/e9/X8/wYO+NGzcU9H7qU5+SixcvTnC1k3NIvV6XWCymHSJrGKA9quFarlQq8qEPfUhw9E7SeJiNapubm/LBD35QD7l//75cvnx5ksvaMaaAKWAKmAKnVIFxMQL9wxpUTOrmWuqUjv5g3R4WY4BGOEaJCwA2PrcUfybrFThH/i6ADfcmBbX2Kk0FielYUDbzNY1tgOsRJ4BT16948t1GUTaiWjWmIOjWJ2DbPLCSYmOXsnG5vpIYCB6nGflBXLzefcZFPrgvDtryMFdXiIt79u5uVR4Vagp409GglJttaTkUSvNJMOgCV3TE5RwJBuRiJibxSEAjLyhmVqo5CkS5Li5YAC/AGRVx0tKndhdLsAgxv7iEgapt6UrE75d1dcu6ERAvX0xp/m8iHJAL2Zg8txyXZCSk5zBnw5rn5L69U5btUkPqTkd2yw3Nss1VGzq/wF0iHXhx4rQBzl1JRJht97qMNxzyC3EcfEYeL/0SX1fu7lSl3e1qEbaX1lNybWnyHW3TZvDSF4D1qBcXo9bVtEXdplmjdqwpYAqYAqaAKTCpAgZ4J1XKjutVwADvEawHipL96Z/+qfz1X/+1FAoFvSOwl+zen/u5n9MIh1/8xV+cWxGywxwSERRkDNOInfjyl7888nZra2taYI2Ca9/97ncn6lp/MZFRJxngnUhSO8gUMAVMgVOrwCQxAoMGB8DEoUrN03lBxNMk4jhXKqg1X2tJrtJSePfei5lnil6x3Z0ogUcKeEVBJU7McNCnsK9QbyoIxMULPyQvlmiAXsjL9v5WuytLCnh9msdKIS6Oe34lIdlYWA4C30cBbCBsJh5S9+o4yNk7t4NgMfEHt7cr8jBflU5H5NJCTEGnB8A1Gbfr00xiXLvEV/A5YBNo6MY3ROVCNqqAlvMAxsBI4Dh5t51uR374uCr5aksabUfPB/ICjPHGhn0i/oBP3bOA1oDPdcuS+Ys79/nlpFxbTEgyFpTL2bjcXEvq55O03pcojAHYS+zDnd2a+LpdScZCmjnMPbk33y8iHZjbWMSvMRRAZZzK3JOoB5zExDmwjsgaZp38+LUFWUpMnos7C3C1Z8YkM27HmAKmgClgCpxkBQzwnuTZObl9M8B7hHOD+/Vv/uZv5NOf/rQ8evRoH/Tyh6WlJfn1X/91+Z3f+R1ZX18/wl5NdyuA6tWrV/WkX/3VX1WX8qjGsZyDa/ntt9+e6GYGeCeSyQ4yBUwBU+BcKGBuvOmnOV9tyjvbFak0WwoLmy13Oz/AE6clcA64uJmvCw5b4Nt6Oq65qInwu1v4Rzl4iR3gXHWb+nwKiavNjgT9fnWoAvpwd3oOXgqTebm9wN1Xr2TV1Uu8gJcHO81IhwHsasORimYxdxQ442wFLK+lo7Kaig6NKfDuPcwJPGgd9gJwxkv0BD8DMAKENWeBqAanLcVqS6EwcQy8dMDVei9XkZ1SU53P9G2nUlegzr0aLWIQ3EJm/O7zddUYwFj4GfBX8281FMHNNiZzdy0dk5cupOTyQlxevpAe6dzt1bs3BmUjV9PCapotXKprHi83AeoD54HXuVpTx8ocB3xu8bZUNKgwnaQOnMj0G6f2yhO4y+84iq8uJTQKYlw7yEsac/2PU9c+NwVMAVPAFDjJChjgPcmzc3L7ZoD3iObm7t27GtfwF3/xF8KfaWw76238B1I0GpU//MM/lN/93d89op5Nd5ujcPBaRMN0c2JHmwKmgClwVhU4zXma84gMmHZeAYvAue9vFtVBidsWyAZ0wyGKmxXoSQMg/uBxSe7sVJRD4qblM7bREyVAG5XBy/WKjZZu30+GAxKgyFa3K+W6G1Hg8/sUBu5VmxIF9AUAkz4tHHZ1KS4vraf1nkDDabUaVBiNazBmp0N8QEdylaa6XxkK406GQ/LCakKy8YjGJQBAe8HyqHgGnKiATo5hfF6cRS8ADwV8stjjTAVmoweQEgC7WaxLLBTQX0DaR8WG5CstdfdyHDpEQj751p2cuqJLdbeOA32MPoHlTrcjAb9fXbSBJ3wUjE6uMdfAHcx1PvjckvzY1QXVeZrm6Uqht9cfFhU0PyrWtP91pythv0iTnAh4bwCw6+YEk+vLfDM2+ka/a82WomfmALDLGsS5SywFYwJ0ZxOhoVm8B41ZmSa3m3nVFyHtjoJyxjPri4dp9LZjTQFTwBQwBUyBYQoY4LW1MYsCBnhnUW3CczzHLkXX/u3f/k2Brgd1X3zxRY1mwAX7+uuvy5e+9CX527/92/3CbIDgT37ykxPe6egOO4oM3nGjsYfdOIXsc1PAFDAFzoYCOATJAaWIFY4/XJjTtmkKNE177UHHj8txHVbo6iD37nWz3touK5R7VGgoYCULFWALtNL81qBfVlMR/TMF1HYrDc2QBcCtZiKSwmG5mNjvDi5O3L78TrEutu8DjsngLTUchY+ZmBsxQORDy+lKq9ORWtORcqOthbqyibBu2wcAAvbW0xH5yetLCiXZ5k+MQ+8771FFwQaBO9yzXAOYWCDeQDNw3SHgNgXcARWJRgB6XsxGJRYKyrWluDqOiSLApdrAafvkOgBaPznBQb/EggEFsuTRsgY9fXoBOP0igqF/F1LdcaRSb+uckEWMcRUtirWWBMQn5VZLi9bhxCVkl+O2S03N8iWyAQcyTl2csDTycQGrOGEzsaBEgOuA4FBA5wZX9E8+tyT/6+XVmb4vjOOHWyW5tVWRW1tl2SjUtAAc2cvk+zLfuMHRBLDsrSW4rzeH6M16qTcd7d/1pYREw24RNi9XGLcvwJcxrGfefanAv5PnBVwHvQhAS5zsrDH6y0sBXlLEwq4L2VsXgHJrpoApYAqYAqbAcSlgzOO4lD/d9zXAewjzRzExoO5XvvIVKZVKegf+wUpxso9//OPym7/5m/LTP/3Tz9z51q1b+vl3vvMd+cAHPiDf+ta3DqF3B7/k8vKy7O7uyquvviqvvfba0AvmcjlZXFzUzz/xiU+oHvNo9rCbh4p2DVPAFDAFTr4CwBdA0729ioIXinNN24CXlaajObw4ONOx8MTb1qe517jMW0AhEBXYOshBOs29eo/thVgU/8J1iQMTgLucirjuy1ZHXbL0ATcrgBEYWaw5Cm+BeNh4gaBEBVxciGqmKudQJIwMXpyXTYfSXqJuR+A7JtKlVEQyuDOT7tx4QBPNyfelUXiLiIHFRFRuriflxnJS7zsKqg7Tqn/rfTYWko1CXYhmoI+MG3gI8AS2alZsxS1cRjYt9croK05NmCmOWEAq0LrWxCHrAkAvygJAXG21pFBxdGzpaFjeezG974QGZALJcU4D03H7Alxx2wJFPeCNA5j1TH4vbmauT1G2xyWK0HV0jdJH3M+5GrEabT2GWAa/r6tZtwBx5gRYmgCWL8YVWrsuYZ9UWo5ceBLR8H+/78LUDl5vXeUrTfmXN7f05Uqx0dQcXWI/1K0dDUo8GJCFZEiST9Yz8wv8JRaDMTC3O+WGPC7UJRoOygsrSXlhNal95IUL2c2FmqO3y8TdWAfAeTToZvfOE7ge1/dy1u+znWcKmAKmgClgCqCAMQ9bB7MoYIB3FtUGnLO5ual5tMQwvPXWW3qE59YF1gJ1f+VXfkXS6fTIO/7TP/2T/PzP/7wkEol9ODynLs7tMj/zMz8j//Ef/6F9zOfzEgy+m9fXexNA90c+8hH90Wc/+1n53Oc+N5c+2MNuLjLaRUwBU8AUOPEKHMTBCygCYAKHW52urKWicmUxpnAToDRPJ+0op2AvKATOzdMp2O9mxRUKBCTvFbjrxTHw7xEyYdn2j8uTgmfxSFCLc+2WW7JVrCscxFFKVm7QH3gqvgCICYBkPpx2W+KRkBYJww18bSGuzt9oz78FAI7bZaCqo9fDuYqzFP1xYgMDay03QmIYVB2kFcC2v9AZmbXov11qPCk4FlYwSnOBqFsQbKfkZsKupKIKWHHNCrm24tP+AErJ0E1EXDDsNbQjZuLNzZI8LtVVO+IdLmVjel2A5Z3dqjqRacQOoHG92dbYiiaOZgeA2+Zfhj3XdSMw6B9AlMJsgHO04mc4fXEX49gFeNIjgDT35Cr0Yy0dUeC8W22KX7paxCwZCchLF9LyoeeX5ZVLmalfZqAl+c1vPnIjGnBlA/Lb0pFy3dECb8BzLxsY4MuLAxzcOJ63ig3NfkYv+k8MxysXM3J9JaljZw0p5NUCf00p1FvqLufFhxsx4QLfeb8IOQ5n/Yl/wFoHTQFTwBQwBU6sAsY8TuzUnOiOGeCdw/T8wi/8gvzzP/+zdDqdfaibyWTkl3/5lxXsAngnbRQiI76B/7hot/mPgZPXPvOZz8jnP/957djXv/51+amf+qmBnfzCF74gv/d7v6efffWrX5WPfexjcxmMPezmIqNdxBQwBUyBE6/ALBm8AKStUkNzWHGcvrNdlsCTHFoAIy7VeQKkabI+Kw3X3TivrM9eN2sk5Ff3JE5Lip1RcKs/LsB1s7rFsXBDe9vQgXoPc1V18rqQM6ifUcgLmIjDlOgCwGmu0nBzdYMBhaG4OJ9fTir0o1UpMlZ3VHuKrTkdF+5eXYw/KRrW1ZxcoPEoqDpIK46nH/f3arKejioE3cjXFVDTT8ZEHz0XMVDbiw1wAbdb6Az3ssLllqO5wMQ2PLeU2AfD/V8MQDHriF84T2+uJDSLlogBYC5RF1wb7YG6CmPFJzWnIxF1UlN8zS1Ax/HwY9cN7dMIC+aE/rEuiGJgfliz9B3HbxvbsV7TRcT8HKiaIqIhENTsXsArznAczevZmPzktUV536W0Qu9JW+9afv1hQSE18wm8ZT7oF2AWhzKQnPWBNhTc4z44oYntuLdTlUa7Iy+updSZ++rl7DP94AUMQJsXBboe02GNB7m2lJj7C5je8U+b9zypdnacKWAKmAKmgCkwTwWMecxTzfNzLQO8c5hrts95jegFoC6RBBRMm7ZtbGwoGOY/yv71X/912tOP5Pj/+q//2oe6v/VbvyVf/OIXn7kvsPuVV16RN954Q7LZrGxtbUkoNJ88M3vYHck0201MAVPAFDgRCuAi3CrV96EejsFhDWi0SfYnIKrakny9JeWao5EDi/GIuisBcbgl46GgrKbdgkpksc6audkfGQDQ8hykg/p50OJR3jVxJPa6WYGIRDTgMgUSAh+H3R+3KxCS8eMEBew+2KvKnd2Kgkgycy9lowra+PcILlbg5WaxobmquEqBlIC9hVhIoaMHk11np09CQZ+E/AEt2nYZsB4KKigmn5d+EoMwjVZEKgBCgZheobPHmovr5gOTnwp07I1FwEEMYPZ2VAGHyQtOaqG5rq4PMmTfs5aWi9nYyPXOPXYqdfnu/aKOnTgGMo7x1gJgAaC8VHiQqyjcJJoBAL6cimosBO5b+liqtTSbmAlYSUY1rmCLnONaUx3R1boj+IpxegOEyazt6E/c1mi3FfrSB0D8Upx++CUQ9OtcoAERFD/xBPB6Lu5Jvsy9a5n+EguB85n5TUYDGrnB/fcL6fncTGDmlf6W6gD1rn7/APBk677/UmY/vmNQHwDe9/eq6qa+nE3IC2tJXVfWTAFTwBQwBUyB86yAMY/zPPuzj90A7+za7Z+5vr4un/rUpxTs3rx5cw5XPPmX8GIaiGf493//d/nwhz/8VKf/6I/+SD796U/rz37/939f/uAP/mBug7KH3dyktAuZAqaAKXDiFegHmTgwBwFUoNLDfG0/i5UsVYAbQJDcWaBeWx2R78YVAHrJMQXusY0cd++gNsz1N2nf+q8J5H2Yq6kDlWzg6ysJBc3TtH7wTULCg726FulieztO3GGNXF1AKNAU0Mo4HuzV5M5e2Y1ViEfl0gIO3/B+MSp+7mX2AhETWqjKJ9l4WKFejcgDES3CpVEB0YA6ewHn6iyNhxXEPsxXFVD2zyNOUEAhnmE8sMQm4BT1tGKuiCoABOL0XE5G1DkL4MV5mo0HZa8fQGqRNK7m0+sSR8E9cDuTG4v79+ZaUq4vJ+W55YTeb1irtlyg/j8P8ur+5XzGxPrBvUyBtocF101MBAEREIwBUMpVge70ufukuBf30qxfv8j9XE2K6uwmssEdI+sBVyznooGX5UvUQ8jvk4Cfgm1+WU6E1RkNuGbNcz0A77QO3kFruT/+gjnFddtbSA8InK+5URuAfVy96VhIwT7a3FxNjV3WvHQB1uOwJwMaR7U1U8AUMAVMAVPgPCtgzOM8z/7sYzfAO7t2+2c6jjM0h3YOlz+Rl/j2t78tH/3oR6VWq0kymRRiG372Z39W//7lL39Z/uRP/kT7TdzEN7/5TUmlxv8Df9KB2sNuUqXsOFPAFDAFzoYCk7hk2ertZbHihATplclB9fkUOJI3C9gEonmOTv5ObujFTEy3oX/0hZWnIO+43E4cwxzjRQaMchf3z8RBoNag6Aq299OPcQ5e+sH4KUwGYMQhmokFFb7i7EU7HJS4Q904gK6CXNyq/AxX6U65Lp2uG70AuCQHFh3UVRoOSjoedH/vyToe5sQGnBarjmb8enEK9LH3Wu12V+7lKuIXN7v3ykJC+8icA1OBt4BFL0KAPhIPQYyBG5jgtmK9KeQUAyO7vq7mHQBDKZp2YyWpYHxU+z+3d4Riaa8/LOn9gcNXFxK6hmibhZoCbEByLORXZ+9W0Y3EwCm8kIjI9eWEFhIjf5YXCszlZrEu7XZH5wRTMD8DjANKXTzstma7LZV6WxIRvzqieWERDbk5v+uZiIJXYPrFhZj82NXFqTJ4B81P/0sTr4AdBfOqjY7GSjBnZO6+vVXRiAZc2x+6saAF9cgp7o2IGAbxWWO4x/n+AHhfvpCeOjv4bDzpbBSmgClgCpgCpoCrgDEPWwmzKGCAdxbV7BxV4O/+7u/kk5/8pBSLxYGKAHf/4R/+QV544YW5KmYPu7nKaRczBUwBU+DEKzAu5xZghhsT2AcwjAUDCgwBeP4AcNKvrlFAHADMK3zGdXfKFOfyq4sWxylwCUD4IEc2aEedmWzt163yna5eQ/NPI0F5mK9LqdGSWDAoL64ln8m8HSXsQaDWoOJzwLM7OxXZqzSGZvD29ofjANwARKAi48Ili+sUkIcDuNcp3Qtcyd/FgYzAa+mYXFmKKdBVFMm1fGTC+vch3TAgzXwBJxVc9sD3XqAcDgSEGFkKxOESZkv/9aWERiTc3avKRq6q8xMM+rW4nBbRi4U0A7e/AXiZU7Ri7rnnSgoXbkJ+4rmFpwrF9Z/LukJfiocBuAGby8moPLccV5CN8XYzX5NCral9xU2L4xlNORZwTs4vLlVcunvlhmyXmwqnWb9o9sOtsq4xzmEcuHLRkcZxxEDQcPemY0F1CTMOfUmRjUqj1VZg/Z71lLz/UnZiJ+yorOv+2BO+B4yN7wxjxhHNy4pbWxXt5Xo6Jq9eyapD24uHmATil2qOxndczsYVnE+THXziH2DWQVPAFDAFTAFTYEoFjHlMKZgdrgoY4LWFcCAF7t69K3/8x3+sIJeHUDgcVqBLBvFv//ZvSzw+/2129rA70JTZyaaAKWAKnEoFgEh3d6vq4NQCWU0XNOFCBdKydfxBvirpSEjdm4AozxEKEEtFg7qVvrfwGJB1t9LQTNhMPCjPryS1ABewzd3S//R9PDBcbba1H/lKS5qdtiRCIS1oNU3eKZMA4JwFagHdAGr39irq5KS4GA0X7l61IY8LDc17HdUfHKTcn7gCdAKKAgvXMhHNK15JRwZGJniLZxoHcj+QxqlJXymGVqg6Cir74TsgFthJ/5ibUq2t8RGcy8+y0bC8s1ORR4WaZtoCKd1c24hm3wKGexvzCVAFZuP29flFdkvA/YBGNPzYtawC1WHN0xanq+Y4dzsSDgQV9EdCAQn6RXbKTY2MoC8Ab9zNsYjr0sVJDuAFwOK23i035K3HJYW2jImxkt9LETf3X+iuG9pzhTM3FKdjvRODQV9LzZZCbXVLx0LqQL6QjcqPXsnK+y5lJo79GPTCoFeH3sKFAHbc2sSfaPay+18T8ihf16iGC5m4/PQLy5KKhfTlyKQQv9xoSTISkhdWk3JjNTH1d+lUPtSs06aAKWAKmAKmwBAFjHnY0phFAQO8s6hm5xyrAvawO1b57eamgClgChybAkCufmctP3PjGRxpdzq6BT5XbUnTAfqJgt3FRGRo4TMgL9m9AGHySwG8uCZx8eL8xckKMHwGDFcb8oPNsgJGipWR49u/JX2cUBSPA55dXUxMBbWGATmckvd3iWmoCbEG9ItxAML7G3EMG/maFuUiTxfQCWRlizxF6ShCN1RVRb0AACAASURBVKpN40DuBdL0BXjLzwDo3rb/QfCdCADmFaiIkXW30lSYCZCmYB7aP8jVNXqBcFtiE5hvxsy4gJ6hJ4VwuRbxDMRRMNdA161yQ+f46mJc3nsxo/M3qPW7o/2+rmYYE02xmAwp7CQbd6fUlEKtoS8SVlKu9qGgX7KxoOxWWgpnWU+ssfu5qjqCWbv0gfxaxrpZrEmnQwaxG9UAzA76XLdsPBTQ66WjQZ2r7SLrp+OOM+CTq0sJub4cV/fuzbXJo7GGvTDo14LjcCUDeHtbq93WeBDcy/Th1ctZdUlPA/GJswj4/Or+BVCbg3fc08M+NwVMAVPAFDjLChjzOMuze3hjM8B7eNralQ9JAXvYHZKwdllTwBQwBU6JAr3ZuLg/vSzWUNCnDk623hfrbqYr7tZBRdl6h0pcgeeqTEYCEvAH5NpSXK4tJYaeizsRRzEuTEAczkNyU4GFk7ZZHbyDttTXiJKoOnJruyTlpusu3s/TDQcVUkefQFvgLJqhI/A0HvZLPBySlXRYC5gBnCdpk/a/F0gDJcMhv2wXm7rNfxR8pw8UGGN+7u9VFaTCa8muddqirtitcl12Sg2F2OkYBd9E4S4wFXAK9AWKogctGw9pBEK+1lIXLcB3ORWTF1aGF1pjrr18YxzADcd10tKPxVhY0F7dqoWG7FWb6uYlqqBXc8ZAQbK1dFTXCC8gvnk3p32gOBxZugBnIit4adHtdKTedkE098rGQhLzHL1dn9QaLdmuMG6/QuyXLqTk+kpSbq4m5X0jCgYOmtdxDt7+c+gTv5gb/W75RF67z1ia6rz9wJWMuqUnhfiAd/KHcR+Th/1/vby271yeZB3aMaaAKWAKmAKmwFlTwJjHWZvRoxmPAd6j0dnuMkcF7GE3RzHtUqaAKWAKnGIFgEy4Bm9tlzVmgSJg7BufNKbAGzpxBcVGUxqtrua5XkhH1QGJK3dY81ydu+W6ukgBd/wiC3WSqIZpHLCD+uAVxWLsGHR94pe605Y8EQ1FYCJb6dsKOYGDQEKiBJYSYS2Qhvu10e6ofmz3x/lMvy8vxMYWG/P6M6kD2QPSd/cqcme7qm5cejwJfOfIeqslX3snJzhncSZfWYyLz4fLWrQwnBYn83fVfdzqiNSbbXWQEs1BcTjgL2POqhs7qDENAG5iPbIJt7AXhdvIxx1UaI0oiQd7dXmk7lrXWbueiaobl9+5V8tpa2REodrSyAkyaHtd36wx9F5PR1VjHKp3dytyW2Mm3IJ3zAk5wzSAsbrSu50nkRKu0xqoTTQCsBhIDMAmWuT9lzMaAUGGNC8apmmjMngnuQ5r+Zt3cho3gjt6LR3WPk4K8YlnQAfc1+TvvmctPZUDeZI+2jGmgClgCpgCpsBpUsCYx2marZPTVwO8J2curCcTKmAPuwmFssNMAVPAFDgHCvS6D3ET4n50C4i1tYAW7kIfhcSIKsBtOKBx/Hapqdvi98otBXAXsjGFnoPiDbxLeLmsd3aqwqUBbB70Gyf9NBm2g66F+/b1hwX5xu1dzT5tt4GCHR0vebNks+JKRo9Ol0JzPs2LDQTcAmjhIKq40QCrmYhczMQVVhKBMGmb1MHL9QDS332YlzcflRTS9hbhGne/2ztlzRsmd5nzLmQo6haQR8W6QlK0IFcX2AnU7fpEyvWWjp3ia0GfT93YQFWyiYlXYO5ogHDc2mTHXl6MDiy05jl4AbwAXObYjeV4GuaPykDud/DirvaKA97fq2j8BH0hbqHbcYuy4egtVJvqlG22XEcv5JSic622SDIakJurKXWPv7jG7yl1Fc/SvBcGOJWB0F727yTX0nzsvYpGLPCChLnQjk4A8RkbkN5r65mI3FjBjZyYOEN4kj7aMaaAKWAKmAKmwGlSwJjHaZqtk9NXA7wnZy6sJxMqYA+7CYWyw0wBU8AUOAcK9LoPAXe4Gu/t1cVptzUj1WsAWLJRE1GKVL0LMXEfPsjXtHAWUAoYupIMy1o6plvpAW3DGpm3G7m6PC7W1DULfFxKRMaCYaDWw1xN4wYuZeMzway9clP+n9ceyONCXR3MODpjQbKCRZ28FORy2m6huTawjf933WJf4VDAHVvAJxeycS2U9YGr5J66uvRvwQdy94PuaR3IhVpL/vXNLfnh45JQpO59F9MK3ce1aqslbz0qa34uYyKKgCJwEQWkbXnzUVGjMoDajI14BgqsUQIMyM/fV1MRdQsvxkMKRgGpaINXtlRrqbMZQAroHeTgxaH7znZZf1EE7X0XUpKKhZ+J4wA0EyWxVappJvBaxs3hRStcxl4Gb++LA5zExVpTfvCoLJGQTwu+EVXAywr6n682tRAg8w3Apxhbs93VtcMLhRsrSfnozeWRMJT5ZMxepAKAv38+6fvt7Yo8zFfVpcxaHhdtwtz1rmXuU2u05V6+KuWa82RdD3cTu/EbTc2hdt3cwOuAOqlxVV9dmjzuZNw6Gvf5JBqNu4Z9bgqYAqaAKWAKzEsBYx7zUvJ8XccA7/ma7zMxWnvYnYlptEGYAqaAKTA3BXAfUnztG3f2dHs8sQNAOYAlcI2t8nBaMkzJKyWrdzERVhBIXu/jUl0hJ45X4BdRBb1b6Ud1FGdpqdGStx9XJOj36dZywNswMAzUwvkKnLy0EJVsLDz1dnRg9H/+cEfu7Jblv97JSaPdVijXBf51XKgLDAR64tAN+/0u3PP7Fd6SQ7uQCMvL62mFjoBW+gw0HFREi/HjjE3HgvvxE9M6kIF4//LGlryzU5JC1dE4C+ZgFESkz7e2yhq5wZgA9OuZmBuHkYqo65Wt/ei5Waip5vVmR5yuO27mg0xbYhgWYmHN+wUMZ+IhvS9F+TbydQXiS8mIvHIxowXM+gvqAT/f3irLTqWhTmmKsREl4BUCA/Tnyy0pNlpauK7WcouR8TnriEiKSqPzVKyDt6ZqTUf+52FBM4L9AZFMNCTvvZDZL+zHOgZG88ICuEzGLz+7nInJYjKiDt5hrt3erGr08xovAdLRkCwmw0+BYeA7bnDiTlgX6DxufnrXctgfkDt7LiTezDfkYiaqjuRBBfRY/14GNLEh8UhQLmWislmsq3sYwEvcxCgH/TweINNqNI972jVMAVPAFDAFTIFxChjzGKeQfT5IAQO8ti5OnQL2sDt1U2YdNgVMAVPgUBUgu/Tr7+wp8CQuoeV0JBRkO35I4xkAnRTGAoBScIut7ZFAQBYSISnXcbsCSH3q+sQhCeD1imGNcvAyKLbvP8jVZCNfla1iUyHee9ZSGgUwCBSS+wpI5jigKQ7MabbVEzvw+kZBXn+Ql2/fz0sDS6oAMl0ACPyjGBlxE90uEJMxudv5oxQFi5PHG1R3KW7jkN8nuVpTAuKXlXREjwd6cQ13k70bF0Bf3WgHvzqcd8rNqRzIxBF872FRvnV3T/NwuQ/XI3d1GAAs1FsKbvH5dsUnl7JR/b0Xvt/ZqSjc53cfTuMn4LbudISwgorTEQrnEauA1jh0GQOuXl4EvLFZUuDNOtF8Xr9boA0IChSl3yQjqDO61dYIAnQjFgFXLBERFEkDeHMs9wXWUsiNMS4Ak/3oF9AIBS/rmBcP6Mx64JpojYMVKMx8DetHLOzXtRULBdVxPChvlzWCJvUWmbhunz33r9/vU8gN4EULCt1dXojrGuQ83OD0i7gJ8pvRjWJxk6xlwDdFB7/zIK8xHMBh7stYuI/3XSRnmO+ZB9sZ84WMG3cxLvZjXk7bWTU61AeZXdwUMAVMAVPAFHiigDEPWwqzKGCAdxbV7JxjVcAedscqv93cFDAFTIETpYAHpdiqf2e7Inf2qgotgXTkpAKVaC7k7Ui1AdDtqFOTvyeiQVlJRhT0is/dMk7GK2BrXAavJ0QFeLlRUMCHK5hzgVaDQOEkgG6QwB7YAqB9f6Mgr93PK9AlizYaDOg2fmIagHPAQ+ApQ8f9yVZ/GmAQiEY8w7XluILEnXJD6uo4bUsqFtR+43JWIEdBr25XQSH3VzAYC0ql2Xbh9GpiYgeyl5X8w62SAtB4JOAWJBsBAHEUc2/GBFSmb4yxF757ObZAfvoIjOQcADX9L9SbCmhxC99YSchyMqIaeNECrAUczMupsMLhUTCUKA502Sm7kH6n1BDcu4yDgmiAa1zDQHacuTiEmSN+fnUpJhdScXnfpbSOwwPH3npgnXIufZkGyvavFc3D3a2qi3i33NTcYg8WA1wZN+5ZtBq0Fked3w+9+8/nPre2KvL2VkkL/LFG3GJ/o18YANs9N/Swwn3zdNoeVKMT9QC0zpgCpoApYAqcSQWMeZzJaT30QRngPXSJ7QbzVsAedvNW1K5nCpgCpsDpVcDbVn57u6pwjgzQh4WalOuOrKYjuuW9133Y7rpgrlh3FDJeSJP1mdDCUNulumwWG/L+i2ndzo/LdpIGBAW8stU/EQ5p8S2g7ySuyXHX7wVbxElQBOs/396RXIXCVF25shiXdCyskBHICxzEnayW0yet0+1ohi2AD7cmLmZgp+eY3CrWpdXpal4ssG35CQj2dGN8AEmKfhWrjoK7S4sxubmalPddzEzkQH4qK7ncUlAKrB0FAEnJzZUdaXXQNSg4P4fl2ALtKNYFKATmYokFtKIJkJsicleXY5q/PCgmg6J65Nyqm3ZInAEAGIfrg72q/O9bO+roBexSxC0eDaou6iDudjXqYLfU0LxcwDhaohd94144lwe5aA8CMqdx4AL9c9XmQDf5rO7W3oKHvCRgjJNGfnhrtd/By1zM4kYe9r2al0bjvrf2uSlgCpgCpoApcBAFjHkcRL3ze64B3vM796d25PawO7VTZx03BUwBU2CuCvQXhiJyAfcikQkUMQMekreKw9VzH+LsdLodzWrF7Ykb9JXLaWm2uvKDx0Xdbg+IYws+AHSS1ptHyzZ/YOQoUAgIHNd6IRsOW/JmKQa3ma9prEC9CaAOycVMREEy4yPnFWcyEQSAMS9/mM/I6SVCAuhGXMMVQK8/IH5fV27tVDQmYTUdlqA/oDnGbOV3XbxuVAHwjm33tVZbwiG/5tASRfGjVxfGDWX/c7KScWgCqYlZGJf567plm5qRTOwG/QC645Duhe/07WG+JtWGq1Nv9AOZtRRnW0tF5fJCVKHyqJiMcREAwPD/99sPZbNYU7cqRunlZFTSUdaYGyZRd7rSocCdiK411lYs5JdgwK/F3Mj7JV5hUA6uJ9a4fgwS/aAZuv150NPC5l6IjyP+uaW4gu1JivYxnv7CfZcXYvpdntWNfBQaTbz47UBTwBQwBUwBU2AKBYx5TCGWHbqvgAFeWwynTgF72J26KbMOmwKmgClwKAr0A0OKMwH7yAAF4u2U6grZdPt316ewMhhw4xtwrFbrjrywltSCToDLd3bK6u6MBvzyY88tqhOWbeejCj15W/2BlZeycbm+klAn5yyAzhPJ20KO+/T+bs11WjodBZ24R3XrveMouAZCe1m5OEWBn+En2aoa0/CkAc+2Sq6bNRULyWIiJEuJqPh8HYXagG4asBKXM25h3KceJA4H3IxaXL75alOWUxF5fjm5P95JJrgfyF9aiD0pdtZ1s4IpBOdz9eYXTliydXfLdXmQq7vF1dJRdUj3w3ccxpuFus6/F/1Api05vsw3xb5wZSPWrDEZjPE79/P667/v5bSvZMcC2HGAe/PgrTG04s9o2HqSyZuMhOTHry1oYb1MLDSJbBMdM0zbcScPW7+9502zlgd9J8f1oXfdPy425MpiTOE3MRiT5AGPciP33vswNZp0jHacKWAKmAKmgCkwiQLGPCZRyY7pV8AAr62JU6eAPexO3ZRZh00BU8AUmLsCw9yC3AjIx1Z6ohgeFesKJYlj8LbK41Ylu9bLrdWiZH6fZsuSqerrimbz4voEhi4nIpo92w8VB231B9wdpOHc/f5mUW5vlxVYNtttjZvAebpTrsu93YrkyXUV0WgAICYZr8BrnLsA0GSYwl5upivjxDlKKzVakqu2JBZEj6BczsYF0ynnAYMZ70oqrLmtREz0RxXgTE7Hg+rk9UAccPzqUnziIU/rMt3I1+TWdkk28nUtkkauMhnCgxrzDsRmPnFvE7mxXWoqzF5IROTSAk7bZ4uLTdp5AOHX3t5VpzdxEFcX4gp1ybTtb0BlHOLRkBsJwfF1xxG/+OUDV7NybSkxlW7j+jgvsDrtfPb3a14QFc1Y+w9zdQX0rGuA+rA2yXfxpGg0bi7tc1PAFDAFTAFTwJiHrYFZFDDAO4tqds6xKmAPu2OV325uCpgCpsCJUKA/79NzoHqd8xyd/J4rN6X+BOICegM+v0YW3NoqaaxBIOCTbDwoHVy9TUectqijNxZ2C6ZR4GstE1PAuxgPSSjo08JlFJICNBMXoEXHVpIT5dGOEvC1ezn5weOSRg6Ua+T4cg+gtSOPAdbkC1NITdGiX3DW4kbudoDSfokGQpKJByWCizfoxgIQywDAxZVL0THcpplYUFbTMcnGKbzm5uGup2NyeTGqObW4Z3H7ch8tABbwa74srX8r/csX0iNdzr3jnSYDlXFuFuuykavpPRkTcDQ2JjqDOcTBfXunouAbaHlxIarRGaNiEcYtbK73zTt78oNHRQW3zy8n9iMIAIyeA9lzIfdeD+15oYCe65mYvHIxI9PoNqpvo152jBvTQedz0PWnhfj9cDYc8Ivf55eH+aoWAvSc3uPGMsqNfNI0GjcW+9wUMAVMAVPgfCtgzON8z/+sozfAO6tydt6xKWAPu2OT3m5sCpgCpsCJUQCIRwbqvT3yY4Oykoo807d+RyfAEHcnTsp81ZFcta7xBNFAQGIRF+YC57g2v3D0AkNDAZ8WJluMhTT3FvBLESkyYi9mYrKWjcpL6ylJRQ+25R7HMQXU7u5WZBvnccDd4g8UBVA9KjY0diJfayl0VaDIqP0i1VZHYe9CLKR5uuFQQI/B/QjcJZsXyE0mbdvpKvDMxkJa8EuzYp/k1LI9HpA6rvUXw9IYjAmbF0ExKFvVy/xFf8A2cQo4ZJ1OR2EfRcomdXPifF7LRHReyL5lbntBLLqMit/oHQ76v3Y/J9+5X9CiX0QzEGcxaQNQb+DIphBfJCg/dX1JXrqQcuNDDtjGveyY5PIHmc/+608L8fszkQG8ZFh7Wc1Er0zaevOwe93IJ02jScdjx5kCpoApYAqcTwWMeZzPeT/oqA3wHlRBO//IFbCH3ZFLbjc0BUwBU+DEKeABGwAv4G45GXkqv7W3w8DCYs1R5yvbvreKDQEEvfW4rEWxcLHixqT4FXCU7M+9SlPylaa6CAGqxCAAQTkmGQ7IpcWYZKIhhcKXF+KSjYf0d+DvrO3ff7Al93JVeXOzpMW7yGst1FoC8KJPm4WqbllnPG40A+7djkYm8L+W05VULKjZrvQtEPAroCamgRiGtnSlWG0p1KSvaEa/cSsDgsmofW45se/UHTUOiqUxB1cXE3JjNTFxQTrvmr1F5HApA/TIssVFTbwEcRpenALncAz6PyrUVQ90JwKBIl5eA6Iyx/3AkIJuQOKDFL5jrN99mJdv3SHfualREfRhmrZXaWgROBzVH3xuSV6+mJpat0H3m+Rlx7h+HnQ++68/LcRfSob1RY1XWI3+9BZqG9f/3jVwZ7ciQGEAr+eSPokaTTomO84UMAVMAVPg/ClgzOP8zfk8RmyAdx4q2jWOVAF72B2p3HYzU8AUMAVOpAKAz2/c3pP7uYrGLFzMUDDMhX3EJQzKzMWFeWe3rKDvB5slLV5GQbLFeFheupBWp6vXiER4mK9LoQbkramLNhAQiQT8cmUhqWD0Yjam5xykaJd3P8bz/72xJW9vlaRYawnAi6xdoGUyHFTITIG1zWLNhZ1tUQjcdLrqCmXsuFxx3wKZM/GwOo4d8nnJ6w2K1JsdzdVdy0TV6cvvWhxMfxaRxXhE4yYmafNyfAJk98rNsfB1FmCo0RJasM2vmo2CyLixRwF6AOH3N4ryjTs5fTmAk3iJom1TtFylKYDLbCIsP351Qd5/OXMmHbyeJNNAfE9/vsI/fFyWB/mquuT7o1cmkXvQ2jQH7yTK2TGmgClgCpgCJ0UBYx4nZSZOVz8M8J6u+bLeiog97GwZmAKmgClwchUAolLgyssjnWYb/CSj6oVGuHcf5Gqyma9rpizZrDhVAbzclz+vpiL7EI0Cahu5ukJhfi83WurevbYYl+XUu2ATGKhFsVptddBCSJstCrGJ+P1+LUR2dTEpFzIR6XZ9Copx2B4ki5fc0v++l5M3Nkp6H4qg7Zab6sbVflRbCr3KzbZU6i0FzkQ44F6uO23VHBgM1GTbfzYRklgwKPGIfz/iAXhGrACO22wsrLETFDFDo7V0TGMb4qHx2+EPksE7bI4nWTfTAMM2zuYuLueO6kjhOJzLOJW9qAZcvdx3EkDPHLz5qCT/551dqTRaEg4Gn3qpMMna3S03ZKNQU5fqj15ZkFevZCeOiBh1/ZOeLzspxGeMh+W0PekaTbJ+7BhTwBQwBUyB86OAMY/zM9fzHKkB3nmqadc6EgXsYXckMttNTAFT4AwqMAlEm3XY00CccfcY1s9+Fydgda/cUlAL2FxIhDVjl/PZ4p+JhxR2kpdKgTS29+9VGxqBwDlAv6uLcSF3lqJZXntUrGtBMrbiA4nTsZDGBxBvQJE2YgTes57WLfpA3f4iUcDTm2upccPc/5z+fvteTv7nQV7u7FY1Sxeq3Gh1ZDEREvqDK5H+Vpotqbe6WnSNMYeDPs3QLdYdcTTGQDS3lxgDxk5+MPAXFyt9JzP4ozeWJZsMKRh/mKvJ86sJWUtFNW5hkjYs53SSc+dxzLi1hoMZvThuXKQDxfImAfQeIHz9YUEeFWvi6/pkORWZOGIBKH5rp6xz+uJaUn7yuSW5vjKZ3pNodm+3qu7geebWTnLfaY6Z5PlzmE7b06DRNHrasaaAKWAKmAJnVwFjHmd3bg9zZAZ4D1Ndu/ahKGAPu0OR1S5qCpgCZ1iBcUBsMRlW12t/mwTITOOqHLcNflQ/AZaFesstNtaTw7pbqUu56ch2salFz4CuwNhS3VGwuZQIqxsWyLtZqMt2qSbf2yhp9i5QF8B7IRPbHzoOQuAgsQE4d4lKCPj8mnG7XW5IJOCTZlvk2lJct+hfJ7PW7xbvApb6/SKXsnGFd4M0HbTMgFrfe1iUb9zdE1yewEA3gsGn+bnvbFdkt9ZQOEhGMPAZ12650Zagj+P8GtNQbbmOVM6nuVm2OFa7GkXBtT5wJSuLSYA2zt+O5u1GQgH5satZzUBt6707Ol6NOKAQWU/O7UHGOe+v2LD1iRs6T7RGrq6O3UmLsuHovaTF5wYDegAhrvH/vpsXFIoGA1rcD0fwuMYLBYoCrqTD8uJqWj78wtLE62PQtfvHzpqnf2RGU4zu0kJson6dpPlknIfptOX5cnu7cuo1GrfW7HNTwBQwBUyB06+AMY/TP4fHMQIDvMehut3zQArYw+5A8tnJpoApcI4UmBW+TgqER+WiTrMNfpJ+ElEAxKKAFlvcryzGFWARp0BMA2CWrfhEM1DECgdvrorbta0QDqdrtdGRt3dKkq+0JB4KKPh9YTWpEBRHLG7OzULNde/WHC3UxHX4RXRBzXGk3REFnguJkIJcADEuX9qszlb6/tajsnztnR0p11tSrLc1N5f7Msa7e647E2MvULnRbstupSUtoG6zrRm65O9WG+391Q2ghVCH/D4JBl0373o6opEPK+mo/pnCcfyd+xBvAbCk4NoTPqzXgl0mwkFJx93Pgd/jQOhxfsUOE+J51/7mnV0pNVoiXZ/mHVOcbhTkZW7IVm62cX4n5eX1tLx6ZWEmmUZ9N3kp0fV1Jcf6niPYnqmjBzjpMJ22hwX/DzBcO9UUMAVMAVPAFHhGAWMetihmUcAA7yyq2TnHqoA97I5Vfru5KWAKzKDAJE7YGS478pRZ4Kvfh1vTdYSOK0qFAxZghUv2INvgJ+nnXqWp9yCeIBEJyOWFhBY4AzzSKk13K37dcaRQddTp6rpXfbJbaWoBMmIP2m2RUqMpPnGB7Fo6LAuJiILgltPReAdybnH/8mdyfXGwRoN+1QTXLC5hnK6paEBzeIHNwFParNm03rb0b9/PaQwETmOclcRKtDpteZSvy1apqdCOuAhaw3EkV8Gl3JZ6qyP5ugt8Qz6f+PwioUBAgtiJffzZJ+l4WC5nopo3DMwF/+JO7na6qg86AYWB12hH83TjvjiKWROpWEihNu7kGytJBZwnqU0KB/lO8svLisYt7bq3GxrZsUpkxVL8maEBCIHcr93P63wDw3FH81IBd7VX6M9bD7jLcXazRl9YScpqOio/+57VqXWb5CUIBQC3y011YHcoNhgOqqOd78wz/dIIktaBs6MPY+4PE9Kj463t8kTxHfTjpGp0GLrbNU0BU8AUMAVOjgLGPE7OXJymnhjgPU2zZX1VBexhZwvBFDAFTosCkzph5z2eaSCGl0FarDcVVgUCPnVqqlN1RFEqYFir7cYB4GCcZRv85YX4RLBlM1+TjXxd7uxWFFax/Rz4CVzFfesCz7aCt6YDeG6rCxcAXW04mk9LYTS/+DSCoFx3JBEJKsymEBfOYH6Gi5djAa7k2AJy3YJxbq6twlC/TxZjYVnNRJ5x8NIP+tDqdORyNi4315L78HfUHHvb0u/uVXQbP05M1g6uYwAk8Jr+4bRNRkP7sI5CYuWaI7k6WcRNBZbhkE/dxlpkLuR/Anx9komF5aX1lDy/nFRnMnrhxEUrIBZMd6fcEoeiYwqxAwqBgcf1ZlvXxXIyJCupqMZSvHwhLamoC5tPSptkez/rtlhzVN/+RoQF0Q5k6wJ4GSPfgd7mfbdwVH9/o6hF3Dpdn/j0u4NT2q+uZ3Ka87WWzhvA/NpiTF8mfPj5JYW807RJXoJ4BeN48cL6U/Ac4EWGb/97TL/4ORrw/Z6kuNw0/ZznsYfpWaMuDAAAIABJREFUtB2l52nSaJ5627VMAVPAFDAFTpYCxjxO1nyclt4Y4D0tM2X93FfAHna2GEwBU+CkKzCJ2y4dZWt8QIEQoHOeTshp4Uit5cj/PCgo6ANwZGMhee+FzEDnnxdj8DBfU/jYm986bl768z6BY812Z2RWKtDu9k5FC2EBbXHlNpyuZpmmIrhJny5UVQXSVh11TAKzANAbhboL3kRkORmWB7m6wL6AxslIQKEublcgrgeE+TMOYc4HFKMR+mSiQYW8r1zKyHo6tp/B640d8Acgpl83VhMTF+HynKffuJ2TWtPRSAaFuuGA4GAGpqMFblrgrddw8AKAceACZgHXiXBIHcZAcBr9eX41KS+tpeW5J5nB3OPb9/IKeoG6zCPzHvT7pAL4dUiZBQ92NdOVuePvF7JReW4pIe+7mJnrmh23dib5fFSBLj7bKjV0XEB7AO+7Y8SF61dXcrHuwu73X8rK+y9nBgJ6DxBShI/vWqneFjyzQN1WR/RFQIPCdnyX4mFZTrrRGD9xbVFW0pFJhrJ/zCwvaxgb5m3W9Goqos5zXmLQP9fZ7pfDfP5MNcAhB08z7lmctsf9jJ6HRnYNU8AUMAVMgbOrgDGPszu3hzkyA7yHqa5d+1AUsIfdochqFzUFTIE5KTCN2+4wHHSzbG+mcFSh3pS3NssSDQfk5mpK3bEeIOyXZiNfk3d2yrr1/PnVhKyxnb0PtA6T08upxVFba3akjQNyRFEoINy9vao6Y4kaAJhtlxoKonFZXlyIqmO1twFCAccUHuO4XLmpUJaYBeIWvrdZlGK1KXvVlp7G9nqiDwBg5PgWai3BGAwo9RqQbLvYkEBA9H4vXUjLS+tpWc887cacxcHLPbx5u71Tljs7Fak5Hbm7U1GorSXefD51XQJZcZoyLqAvkBFADczOxhkHucFBBdGqVbmh5z2/nJAfvZKVhURYh+RqWtMCbhezUbmxkpJsPDTU3QpYBgbjZh5ViGxOX6OZLoMzFQc06xn3NdnLNH5O7AWQ18tyxpnrum19CvFxKrNumGdeIlxbSspHbgx32/YCwkKtqTnQrBv04UUCwJh1RcG21XREXlxLzQTEp31ZA4j3cpIXEyFdMIvJyDO5ygDeYcUVZxL/EE46Cqftce2yOAS57JKmgClgCpgCZ0gBYx5naDKPcCgGeI9QbLvVfBSwh918dLSrmAKmwPwVmMZ15kUjACKBhPPKNJ00g9QbPY7XjRwZr3Ut0kV+68VMTLM7AWT9OaWch6N2t9IQQC8OwbV0bCBoHaSwl1PLlnKckgGfX/N0iQ0Y1IBywLNHxbo6D+kX7lwiCdYyEVmMR/Yh67Dt94+KNak3OwLwwqn6MFeV2ztVhapAYwqtAQSBY8Bjrg9YBnj6xCd4WUs1ICrOz7ZC1JurafmRyxlZSr7ryJw1g9cbtwfzgJRoTJbqW4/LUm21xdftSjTsVyiOyxYnJvcDKgJwiXMA6BKbAFiMksEb8MletalOZFziH7y+qOARnXAvAwKBvMD8pWTUdfcqSH42nxYg2u/Avr6S0HV7UtogBy8/w22OMxuXs1eEb1BeLgXm7u9V1X17cyWpEJ+YhlHu+l5AiBOaOcPrTNE1okv4Ds2q0Swva5iL/nkiS5jvjpc3jAb90RMnZQ77+3FUTtvjyEk/qZpbv0wBU8AUMAWOXwFjHsc/B6exBwZ4T+OsnfM+28PunC8AG74pcIIVOIjbbh6uyEkySPvlY3v/XrUhjwsNBaD5mqPxBSG/C1O9glveeQDCYq2lYJGt7jhH+0HruCnaKNTUpQpcJRv25mryqSJQvef3O3iBZm7sQk3jCvj7hUxUdsrNZ7bf4+Blyz1RBzheiS/AXQnAu7NdFeA28A03I07LTDyk8BPXLDoAnemj5vk6HYV2QLyFeEiBab+D13MnjyrSNUqb3hcEbz8uC27enUpD9sothc4UigPS1Z2O+MhIDrj5wUDocCig8ROMhbGG+VC62l/cyS+spOQ96ykFe8w5kRf87hZk86sLm357mcbD+nnQMY5bGwf5fND6v5+rCX0G3FMMbzER1nkc1FhXD/NV1ZRjf+K5RVlKhOXmWmpstw4DEE77sqa3k/3zRG61myftwufTBHkZlzltxy5BO8AUMAVMAVPgDClgzOMMTeYRDsUA7xGKbbeajwL2sJuPjnYVU8AUmK8C83LbHcQVOSqDdNBoKTgGaN2rNKTa7MhyIiR3dqu6XR2XKvCTLeduFqu77ZzCTWTCFuotWUmGFSB6oNVzgI5T9kGuqveBs13JxuTq0tM5ur3n92bwAkCBuWyrx0HMvTPRkBYAI16hd/s9vabIVaPlyN29mvYfmHxtKSZAP7QCcEYCfo1v4DqpWEgy0YDUWq4zlgJkIZ9P6u3uvmv2ykJUP8f1SkQEBcfm6W7t3Zb+YK+mObnELDwu1BXONdptcdoiTqcjJPECJdGD6AUK3TFZgOx4JKh9pkDai+spuZCJqdO5X89IyKdRD+QJX16MSjQ42pF7UJfyuLVx0M97oShzyjrdKtZ1DeOmHQZ3ua/nDCffueV0NVrhUjYuB/lOzjqeWV7W9N7Lmye+G8B+nPa9Y+e7dxpiGvr1OwyQPusc2XmmgClgCpgCpsBhKWDM47CUPdvXNcB7tuf3TI7OHnZnclptUKbAqVdgnm47tlTP0oZlkA67Fpmq9/dq8rhUl3a7qwBxp9xQuMm2fopDAXp7c0o5h8zXltPRreu4WQNTOEDpy729stzfA7p15fnlpEY0jGq9jtOlZFizgXEd46zFvUpBMQpdedvvcSBvl5oKcR+XGlJrODoWMlcpWsZ2/cfFhoQDIuVmRx3JQG3Gw1b2oF/UJYvzl8iCZCwoiVBQC4wBiSme5ff7FaheXYxrFIKXezoPJ7a3LZ0Yj7s7Zfm3t7dlu4hD2VGQXXcoloViPs0Z5v5ETwDsiNdQl6rfp/2ncNqlhbjm7KJbvyMa8Akon9TBy11nzRmeZU1Pe07vi5Yt5jjoF3731s2w63nxHF62M+u+WHPU1QzIn/U7OW3/veOnfVnTfx++p9/fKOiLm4UEDvWQdIhvOEWF1mbVzs4zBUwBU8AUMAVOuwLGPE77DB5P/w3wHo/udtcDKGAPuwOIZ6eaAgdUwNxTgwWcl9uOSABgErmfs2RkTguF6o4jD/bqcn+vIqW6ozCMvFIa0PXaYlzCVBt70nAFAtBubZcVAlOwjD4TAXBlITGxA/StxyUXErc7cn0pIRfGAF4vM7bXielFDLCVHtiZioT2t9+TuYsbk+Jq5Kqmo2H9bClJBEVTNvMNvTcNvXEDc+1qqyMhzZp1HbLAMM+hrLA7GpS1TEzdwNiP11IRzekFDk+TpTzue+RtR6eQ3dtbblTDVqHxJEPWp7CScbe7IrvlhrQU8vrVbcocrqUjOgag5VKCfofcfF0cvT2ZxkQ+oM+0DmzymrkOhfVurCaGFuM74ONm5tOJSmFOv3E7p3ELQPtL2djQGBB0wsXOPOLeZS1dWYjLnd2Kru+DfCdnHcS0L2t678Pa56XIo2JVdkpNXf+8nNDIFZ8b80EGNuvwMAo9zjpmO88UMAVMAVPAFDAFXAWMedhKmEUBA7yzqGbnHKsC9rA7Vvnt5udUAcs/HD3x04LVQVebhytyGGgmisEr/oTjFRiIM9Vz8H5vI69b0oGa5WZbs1xxql7KxJ7J4KXvO6W6xhyQa5ohyiEakvddzEyc4bpRqGu0AP2Kh4Ly3FJ8KHzztLq3V93PUgXYEWUAnARyAl/X01GFV0Br3K4AOyByLOSXhUREYws4hs/f3HQBM5nDVxZiGnmQrzbl3l5NM3uBp+GgaEEzr6FXLBKUTDSo98U9u55xt/Dj9gS6Uqjt2lJcC50NauO+RziI6QegkfH94BH9bKljttxoaTwGmceRUFCysaAQu8DPt8oN2czX9P7xsF/dx2QoUzgN1zKAEvBL5AZ/J69Y19uMGcrzWKuH+SjFAf3GZlHefFTUInW8iLiyGJdBhdUoYIfTGS08ly/xG2QRH+c4Z32m8J2mKCGA+J3tir6MAO6/Zy2lLm+v8f07rEKPhzm3dm1TwBQwBUwBU+A8KGDM4zzM8vzHaIB3/praFQ9ZAXvYHbLAdnlToEeBo6pgftpFP4jbzhv7vFyRvVER6XhQOm03WxQw6DUtOBYGzAbl7q7rEgXWKgDz+2QlGVFICTgd1OotR7e9396pSKHelBsrSXlhNSUv4TweUsCK6+AcfJirqeM24PPvw0bAK30Z1QBeuIuJV+D3zUJNsvGwZs7eWE3uu0iBz1vlumzm6xIL474kmiGg+atAO6DyO9tl2chXFYg+v5yQ5VRUNbq3V1F4HfT71bmcjRNp0FXtcOgCW4mm4FgAOBmtH35+SZafgFQKrwFp+9sk3yPycvcqLdUIp+1GviZ1py2VelshNX3fKjX0Z8D4cNCnP1tIBKXS6MjOkzETzZCKAnqDqg8O42gQYO0CXuYHIOyTrl4PfdbSMbm4EFXYPq6d9Axer/+PizX52q09Xd/MIVqhDYCbJcqcsqY6HYC5XzLxoOYPk1PMd4M2r+/kOE0HfT7rrgDWcAnoX+AFR0vWMzF1cXtZ0f33Yr3NM15klrHaOaaAKWAKmAKmgCnwtALGPGxFzKKAAd5ZVLNzjlUBe9gdq/x283OkQG+xp122ujc7Cp7Yzm3bfJ9eCLO67XqvMi+3IC7RNzeL8t0HeWk4XQVXAMZmG1DpFuRiaz6OVoovAcCqZL3uVSUZCUgqFpbFeFiBKGB0WHtUrMvDXEXe2anK9aWYvHwhK69eyQ49vh8kcW/W0cN8VSHbpYXYyAJYXNiNaqjJ3d2K4OglhoD1CLwC3gHFyBQu1ZsK8Nhmj2sRR3K0B14CcW/tVBTwEUWBY9Nd447c3a26YDgdUfgb8OOIdRS0cv98taVgFCDNeS+tp+WVSxkFqYyRMZEF7EVsTPI94poAa+bH6XYlCICPhJ7ESPj2i4MB1h8VG+ryJXoARy/j5udEZuBExV3MWBdiIXlhNaHzyXVxBaMP7mec2gB93KsvXUhp/i5xC5M0xkN+8XFl007SR45hbl9/WJD/eZDXtcB8kdk87HsAMCdTGRDstXl9Jyftc/9x0+Z6V1uObOTqCqb5Tvv8opnMRDMAroe13hcvx1VUblaN7DxTwBQwBUwBU+AsKmDM4yzO6uGPyQDv4Wtsd5izAvawm7OgdjlTYIACAEFyVoGFZDkCkoAEiUjgqa30ts3XFW9Wt50n/TxdkQC4//jhjjo6b+9UxdcVWUiE1VkKfGy3O1JptcVpdyUa9Emh3lI3LpAR5+e1pYQkI6GRQIh+N1qOvLFZku1yXd2u11cS8hNXFiX1pChb79hYR1y/P6f2Qa6qmbgPc3UFtQA2+jgKRAF27wJn22ytJ183IPFIyI186HT1PrhcAZk4aykC1wvtFP45jrz9uKIxDjhxKULVanMu4JRM2qC6HoFiwFqvAUYfFdyMYgAujueVdET84pMrPYCUIZB7y5gA4eO+RwBrgCtwmdsBi8n+BWDjbqY/va3abKlmODRx5ZYabtE7cokBvHxfbywnFVLjTqahD4Aa9+5uqanwOPQkr/dDzy+pm3lcO00gsPc7SeHAbDSsQHuQkx2ne797eZ7fyXG6Dvu8t2DcJC9BeFZTfPBRvi4dceNPVtPR/QJ7o/pxWsD9rFraeaaAKWAKmAKmwGlSwJjHaZqtk9NXA7wnZy6sJxMqYA+7CYWyw0yBAyhAkaJpwdt53+Y7rduud3rmBVc8ME+Bqe8+KCjEBVzizAV4Ar1qLdBPVx2ghWpTHaHFWlOCAZ8WO1uIhTVuYZR71ytKVag5mgFLTIKeG3eLfwE2vW3wQEXqmQ0q5jTNi4ReSAwABbTiWA0E/JKNhVXORtuRrUJTKs2WZONuLu+w9tbjosZLkL+LNkRG0PwBkbYjmscKIPXgcG8hLlzROGKBbu1uR+EoEB1nNI5argfg5TsBMOYe9HkQwO4tIEd8BL14kK/pfPC/91/KDMwnpj8AvZ1KQyIBvzQdd17J4L2fqysoJ2bjKs7ogG8/kqDdZg20FQoD9Il/ePlCZiK4ftq+4/3fyVgkMDCLetAamdd38gCPYT110mcxa+fOTkV2ieooNLQgIHBX18BifGw3TgLQHttJO8AUMAVMAVPAFDgnChjzOCcTPedhGuCds6B2ucNXwB52h6+x3eF8KzCta8xT6zS5+w5jhk+Cbr0wCB8sc1Kqky1b1ZgGACCQF+Cqjs6Wo9EEQEjc2UBRilEBeV3496xju78oFS7SbtenMHUlFVaXLvC40+k+BTsBpeSf9ufUjoowGAaJgbHcB8cqIHMpEdaxOU5XHuZd6EmmLS7cYe1RsaZRA7hyG622RpCspSOwagW3iwl3WzvX6R0zOlWbbcnEQgJIp6DbSjosa6mYQlI053Mgc7HqSKvTlpA/ID9yJaPO6P4GpGUc/A5UxhlMEbhCral/J1+YbNhBba9Sl3e2q+LXSIegXFuOq4N5t0xWb0eLi2UTYc3d7Y3mIGN4u1TXPGLmGgCcjoSGuvSHObAH5Q0fxndr1muehO/krH33zpv0JQgxHT94VJY7exV94UK8SDwSlEvZ2MiXNb39O+5IioNqZeebAqaAKWAKmAJnRQFjHmdlJo92HAZ4j1Zvu9scFLCH3RxEtEuYAiMUOAlO1KOYIEAn29QH5abOev9J3Xa9UHxershBMAtI+P2NkkYE4NbFtckWdaAlxdR83a4U646whZ3o0cvZuKwQCaDZu64bdVxRKgqmEWMAECW7F7jbvw0eN+tiMqxxAoPaJEXIuIYHiS9kYnJnt6JZo8Q0PLcUV4DpuRiJXqg2O3IxEx3ofgVubxTqWmhss1DXom+FakvHXWy0n2QRU6Atqs5YrxAXLuRizVGHcqXRVh0puEYMxFIyKs+R2evDLUsht4rcy1U0/oKM4KVk5BnYxhqkUJ1GKzTbciETVXBNHvL9naosp8M6J5w7qJEl/M5ORR25ZAkTy8CcAa/zlZbmznrF5TjfK65HJAFOXo2ECPgkHgxIMOh7Kmd7Egf2rN+TozzvOL+T8xrnJC9BctWGbOYprNbUaBJeTrCe+uM9RvXpOIvKzUsru44pYAqYAqaAKXAWFDDmcRZm8ejHYID36DW3Ox5QAXvYHVBAO90UGKHAScqSPayJAnbulZuaXzotiBzXp0nddgDAebsi+8E8W/wf5mtSbTgKMYHZXnwAW/9p9IPiXMRx7JQamiebiobVEUvkQNMZXpyNolSrqYheG5AIDH35QlqvOys4n2Zuhr2I8HJIHxca6oAdBLgotrVXaSp0LtZamsXrAlCfOluT0ZAkwgFZSESeKki3W6krZMYlSxQFUBs4S14uhcooPMbnk26XBx7jrgbyhwI+WUxEVDsKz729VZZY0C+XFuJyaTEuISh0T+O7SsE5jiUu4vmVhAC+ge04i+nTMlAZF3LQjXsIUvztScaxtyU/FARI+xQQO+2Ofi+mcWCP+04c9+fH+Z2c59jHvQThG83Lh71qU19U8F0cFbMyqG/m4J3njNm1TAFTwBQwBUyB2RUw5jG7duf5TAO853n2T+nY7WF3SifOun0qFKDy/A8fl+VBvqpAiS3n07aTCgnGARIvN3VYlMCkOkzithuVSzvpffph3xubxaccrfdzNaEvFO/yYCRbt4GPnmsZ2AcQAnK+vV1SOAmsVSeoTyQTD48sSnVYOaWTuKuHbb8ndmIjV1ctAPg4WHsLtzF2NAGIZRJB6XZ8CrgBngCyRrujsQWch26e6xUQmqtQkK6uMQ7edSlqBahdT8fk8mJU4xSIvLi/V5PHpboEfBThww8tspSKyBrXDVOWzacQdjNf10JsrD8iMZgLoC+gmZiFywsxBbVkqeKA9qAdIBiYzbH0neJ4ZAZTYG2jUFOXMcDYcxWPA3oXslGpNtqH8uJjljU9z3OO4zs5z/73XmvYSxBvXTfabWm3Zd/VPmk/LIN3UqXsOFPAFDAFTAFT4PAVMOZx+BqfxTsY4D2Ls3rGx2QPuzM+wTa8Y1UA8HhrqyL39ipaOAqINW07idt8RwEe4J+XmwpYHFQMbFoNjgome/3qB/Pk527k68/AyEHj4FyAJ3NOQbZsLKRO3kvZuG7zxllKvm2/A/QkZC4P237PWEqNlubjEjEB6PTmGecuY3ajC3DFupEGZBUDWHH98vvlxdhTY+7PyvWcwZ5bttfBW3ccebAHuK0pNO9KR6Ez8JwcXoAtjfxfoiEo9tZyKJAW1J/xkuRxqSHFakvn4kImIuloWMjO9eIwmBPiH+7uVjRu4+qCO19EPOBQX8tEZJFCc5nhL2kGfVcngevTfh9OwvFH/Z087DEPmqeHuZq+2ODlApnYrLdJ22G9rJn0/nacKWAKmAKmgClgCryrgDEPWw2zKGCAdxbV7JxjVcAedscqv938jCtwFh2802zRJleVLfdAMsAYjskbK0mZtZjUNJEDB1la/WAe+NNbuGtcDifwEhgJrAQkLiSCcnUxMRQQAnfnlR18kHEPm1vyhCm2hi4UkSMrl8gKp91V1ywRFBSgWk9H5NZ2RR7kqlJutOWl9ZQWK+svTDUoK5c4BzfL91m3rOfgJT6hXG/py5LNYp1QDInqixOKqfkFvrxdaqqWnKPF4ro+aXc6OhdkJsdDQXXmUlguFPTrmgRMU+QtV2lq/+Nhv1xciGvmKuPFdUxkxsUF8pSHQ76T6rY/yJoYd+5RfSfH9eMwPj8LReUOQxe7pilgCpgCpoApcNoUMOZx2mbsZPTXAO/JmAfrxRQK2MNuCrHsUFNgSgXOYgbvSSiydNiuyF4wHxAKf7mg2ivcBYwc1YgY+OFWSQuG4WkN+H0az0Eu6/WV5FO5rfPODp5yiT5z+DB3tvi6sltqSs1xZKfUlEaro25e3LORUEBWkhF1JuOCrTttzbG9mInJjdXEM7m9g7Jy6Qh6DXLLEoPxxkZBC62Vmi2JBgKSq7aeRDuENa+XPGRcw3e2y1JtudEI2VhYIxlwYL+9XSEkWdpdYG1EXzIwn6ylTCys2cAAYArkkbl6bSmu12QcK+mwpCIhhfTD2nnfkn/Y38mDrutZzz8Jz7tZ+27nmQKmgClgCpgCpoCrgDEPWwmzKGCAdxbV7JxjVcAedscqv938HCgwrHjVJEM/adt8z4ujrRfMkxMLzt0qNfYLd42bO2Df7d2ywkEyXsl3VVCYjMj15bgCUfJs550dPKpf0wC4Ydvv682O5KoUUPNJOOjXonG0hXhYouGAOmHJrMVFy3FEGlxfSTyV2cvxAPQHudp+Vi7n72f5DnDL4sZ97X7+SfRFVWMvcBDzPwAzjlyiGzYLNdkq1OXWTkVqrbYsxkMaHUF+brHuqBOXwmiQYeIZiA+hL0Rp4OAlWoNxkdW7mnQhsFdYDlDMPYa1k/ZdHbdG7fPJFJhmx8JJe1kz2QjtKFPAFDAFTAFT4OwrYMzj7M/xYYzQAO9hqGrXPFQF7GF3qPLaxU0BOUtQ9CzB6nFL0xvr21tldXkCCAGYwMhxzXOiLiRC0umION2OVBuOJCIhWUyGJeT3qTt0XoXoRvXnIFvo+8/FSeu0O1JrOgqo3YiD0P7tAajpaEjhLrEcD3N1hau4l3sLs/U7eLPxsOxVGkPdsmQA46ylYCHgNhEOSoAs447IYiKs8R/MEYCWInfkArecthTqjmRiQXXnLiSikgwHRKvdSVfK9ba0HLdaG+PB9RsUn0RCfnX5Aoavr8QlHgrp9bnnsHYS8pPHrUn7fHYFzlJRudlVsDNNAVPAFDAFTIHTq4Axj9M7d8fZcwO8x6m+3XsmBexhN5NsdpIpMJUCZ2Gb71mMmxgHRm9vV+TObllBJfEDuFMpMDaqDXKibhdd8Mg2/yuL7zpBPSAK9CULdp5tnkWwCrWWFpjjd1yzRE7wi7ECcDPxkIJdCpbx83GuRy+DF6hL1EIiHHCzfJNhjXPodctWW44WVKPY1XapLtEg8QxNKTfbspwMa7zCpUxM9QXEkZlLn4DsuwDfWlOiwaA8v5KQtXRElpKRJwC4K812W8fEOUQ6kBWMM/j55aRUm22NdnjvxbRm/o6CuychP3mea8eu9awC8/w+mb6mgClgCpgCpoApcLQKGPM4Wr3Pyt0M8J6VmTxH47CH3TmabBvqsSkwDnh5HWNr/0nd5nsWC8aNWxCAeYpzfeN2ThpORx23QMBhGbwAz34n6pWFuNzZrUgyGpSlRERuribVNYqj1QOi4/ox7eejHIfcl34CMAGtxBQAVoGY5M6mou86cg8Ctca5HsnqfVyqyXaxKSvpiKxnIgpi+92yFKzbqzbkcYGCdUHNyc1Xm7JRqGsRNdzBFEPj78VaS7OBl5IhzeO9n69JsdKUZCwkiUhAri8n1HEMWCcnOFduaURDwOeTRrujQPfKQkzW0zEJBX1SqDkK9XFtc37vvJ/k7+q068WOn1yBgzjiJ7+LHWkKmAKmgClgCpgC81TAmMc81Tw/1zLAe37m+syM1B52Z2YqbSAnXIFxwOuoM1k9uSbNZiUv9tZWRdguDwxkC/u0DRcmQI1iVYOKb017vcM+3gPzt7bL8s52WQpVR92lxAL0wz62+Jfrjubt9jpRiSN4XGyoc3c1FZWrS/FD7fY0LxMqDbd4HHEKgFVcxDdWkpo9Ow9IPAoQc89cpamgmTzcSwtR1QcHMG5pnMLA6Ht7VYXm1SZF26JSazka1YDjl/Poc0gLpLUkX3Uk4O9KKBiUbqerIHe30lQwz/jI6+U84CzzR3QDbl/+DBAm2/eFtZRczkblUbGh98LdW2t2tF/usVqr7Ujzkw91wdjFZ1Jg0ufmTBe3k0wBU8AUMAVMAVNgrgoY85irnOfmYgZ4z81Un52B2sPu7MyljeTkK3AQR+S8RzetE+08Onj4gkbTAAAgAElEQVTRHND5xmZR3tkpC5ENFEsDFAJBPdiHNmTtkt+aiQf3naixUEAe5mri94tcysa14Ni8oxj618U84kAuL8QFqM0awUE7ysU6ChJ7fRu21u7nqtJpd2W32pSg3+dqqiXt3NbqtKVYJR/X0egGnLTk6zInANdwwC2Cxs/oZ67WlLCfOQgpjAUA82KCrOBMNCTpeFBC/ncLpTF/ZOvyc+B878sH+vEgV9X5psgbEQ64uDud7pHlJ8/7O2/XMwVMAVPAFDAFTAFT4DwqYMzjPM76wcdsgPfgGtoVjlgBe9gdseB2O1NARMHZ3pPcT9yAXjvMTFbvHrNC5vOWwdu7UNHsf7+9LTtlogFqCvkSTzJzPScofwc4hoM+jQ0gfuGos1nnVdCv0+2MLJLW/yUm8mGSsfa7Hks1R755d0+dvI9KdS16FgkF1Fnrh4pLV6qNtkYy8PfFOPEKPo1miEeCspgIqbN3t1yXzWJd8tWW6r4QI8s3oLEKOKtxURO7cCEbVZDsOYSDZAbzpRPR/rc6HbmcjcvNtaREQy4IPs7vqj0sTQFTwBQwBUwBU8AUMAUOroAxj4NreB6vYID3PM76KR+zPexO+QRa90+1Ake9zfeg2+7v7Va12NX9vZqsp6OaKztp495HGVUwab8mPQ7I+/pGQTbyNbm/V1V3KJmtuHT9ft++EzQWDIzMUT7MOZ/H/KykwhpJ0O7iVhW5tBDTqIRxDcg7jVvZW4u7lbr84FFZijVHak1H84nRltgFnLu7pZY6duOhgKxkonJtMS7ZeFid0o4jWkwNMIwbmAxeoh+uLcQlnQipk5oMZWIZ1lLRpwrc9Y6HyAZyktUlnAjJi2spBcW9GcmHOW/jtLXPTQFTwBQwBUwBU8AUMAVmV8CYx+zaneczDfCe59k/pWO3h90pnTjrtikwpQLzyGZtd7saU/AwXz1U+Dfl0I7scA9K4urcKtYVQLqgN+Q6Q0dks+I8PUzX9rwc1mTi+n0iAZ9fLmZjhwLx+9eidEWzi4ldAMaiL65bp9NRoI4zt9MVeX4loTEOq8mIhIMBabbbUuHYdldylYZUmuQgt2QlFZVUJCTBgOh10rGQLCYi8txyYt+x27toeGnBuibaIRsLa14v7Sgc9Ue2eO1GpoApYAqYAqaAKWAKnFMFjHmc04k/4LAN8B5QQDv96BWwh93Ra253NAWOQ4F5ZLPeXEvJvK5zHBrM457TRlwsJSLqIj3sLNd5ZCQTP3Fnp6Lu2UwsLDdXk08Vkxunn+eExdlNwbSXL6QV2va3YWuIvFycvABer+2WG5KvuRm7OGyBsIBb3LmNVkfd09GQXwHxTrkh26WmRmiQzRsK+qTe7MiLa0m5kInvg1vv2mTrbhZq8jBXV5hMrMNCIqyZw1yX4mzpaEgiwYDeg2xiALM1U8AUMAVMAVPAFDAFTIHTo4Axj9MzVyeppwZ4T9JsWF8mUsAedhPJZAeZAqdagXlls1IkjMzSSQtwcV/cl2ybxxVJgbEbK8kzAckmyWYFeN7drUqNqIFyU6MPAJ6ARGIPiDXAMYv7Nhb2K5SMhYJybSmuruBpGnD01lZF7u1V9Borqcg0p+uxFBW7s1tV5+qVbEyuLiWmvsawLFvvQpOsRfTgF/rUnbZsFRqyUajKre2K6oS7mPFpsbsQxe5ciAwErjRa8rjUEKfdkabTlkw8LBcyMfnRK1mNdvAa0Q64gzcLVdkptzRig8gN1ue852ZqEe0EU8AUMAVMAVPAFDAFTIG5KWDMY25SnqsLGeA9V9N9NgZrD7uzMY82ClNglALzyGa9shhTV+bVpbhmog4Dl7C2UVEF04LLQeM6SXmow/oyj0iMadyi83Dw3tsry/29uhYhe345qRENtF7gCvwEUg9y5nIscQf05epiQm6sJtR129tmWYtA67e3ypqTS8zFtaWYXF5IaBRDbyOOgftTWO3BXlUqzZZkomE9/uZaWvtEq7cceetxWbZLddmpNGU5EdG1fXM1IdGe/gLoK4225KrN/5+9e4ux9Ervgv/Urqpduw5dfXIf7Lbbnjgm5IPJd/GNR/ogFzPkBiFxAYogAiSCCBcIiQsIcBVELnKBiIQU7oAouUIBRdyMglBAmokUIWUcRvpymoHJYI/ttt3d0+c6H3Z9Wm+nPe2e7qraVevd+11r/wqNnBnvvdazfs9bC+vv1eut8l9S2DUJECBAgAABAtMgIPOYhi7nX6OAN7+pEVsWsNm1DGx4AhMWyHU367N/7H7Uqwpy/PH245yaTaeEu/Az7qsscvT5f998FA+39prrDj53cbm5DuHZKxOe2Cbn1cW5HwhwDzvBm2r8gxsPmmsR1rZ34/ULyzE/N/vce3Gf7mEKWP+/D+7Hx/c34sN7W83p3StnB/FD6U7dXu/Tj6ZA9u76Tnx4fzO2dvZipjcTjzb3mpPR1y88vqIhXbfwnduP4tH2XhPevrTcb4Ls9J9nw+gnA6eTxGld6bT1tfOD5p7edF2JHwIECBAgQIAAge4LyDy636MuVijg7WJX1HSogM3OA5JDoEsnKnOsp6YxcpzsPCy0G0foOokw+TTPwHGuIXje+ClIvHFvM1Jmee3cUqQrMUYJrE9yOvZJHelU9kcPtiKFpOlKiXSdxKWVhc+89OwgvXgsIvpzvaau+dle839fPrMQg/nZ5rvplO3z7uBNJh/f34w//Ohhc5VCuuc3vfgsnfhO1yOsLs3F0vzzw/n0+XRFw7dvrjVXL2zvpfty0z2/C81cMzHTnDre3B029++ma3/TCwHTaeM0z/fWduLc0nzz4rXVpfm4t77TrDFd9XDt/GJcXR009R/2c9renOZ58l0CBAgQIECAAIGTC8g8Tm43zd8U8E5z9wtdu82u0MZ1pOxxhHsdWWqxZeS4m/WoP3afcNoK+Q+7DqKrd6WeNmi9+XA7nr4S47gPX45gOV1zcH9zN2493G7C0fT/0nUM6SVj6a7bFOKmF8alfqeXkKVTvikcffnsoPnfnq396XD+weZOpFPC6e7bFA6n+3H7szOxvDAX/dnZ6M/NxJXVx6dsn/ykoDa9+O3u+nZzmjj9C4sUPp9NgfCfXKfwouD5zMJc8/lv33rU3PucAuVU68PNnXiwuRdvvrQSl1aPf1dxehZP2pvj9tDnCBAgQIAAAQIE8grIPPJ6TstoAt5p6XRF67TZVdTMMS6ltBOVY6Tp3FRtn+Btc8Hjvsc2x1pyXJXwolOwx6nvNFdDvLTSj1uPtmNrZz++fXutuTohvfAtnbB98iKzVMPjU7778ehPrnO4uNxvAtQUBg/6vU9PHz/7krkU0Kbx17f3mvB4dXG+CYvTqduF+RT4zsVgbq65SiHNmX629/bjg7ubcfPRVsz10gzRfD+Fu+n7KSh++ud5V0ekk8Nb+/vNPbtxEM31EBs7w3jj4tJn1nWU72EnlI/6rr9PgAABAgQIECAwGQGZx2TcS59VwFt6B6ewfpvdFDb9lEsu8UTlKZdc9NcnHTieBu80YeWk7kqddKA+SiieTvze39j99AVi6eqCM4PZ+IMbj2L/YD/29+PTk6/ptPSzP+nagnTn7ebO3p+8eK0X/88b55o7atOdy9+5vRZpjnTFQj+d2B3Mx621rbi3sRupznTqN/18Jixe6Tfh7avnF5uTvFt7e/Hh3a345OFmM0a6hmGpPxvnlx7fq5t+Uh2HvfztyQn0dDo4vQDwe+vbMd/rNaeFR/057LqS44zV1kn348ztMwQIECBAgACBaRSQeUxj10+/ZgHv6Q2NMGYBm92YwQufbpTwyNvnu9PsSV0ZcBqBHNcNnOQe29PUnL47risxDqvzsH8Jk3LaFHKmOveHKcDtNS8hS7frppO06YVmKaQeHkTz1ztrO80p2TODuVicn/2Bk7xrO3uRnq90lcJbl1fihy+vxOevnYsP723E/c2duHFvqwlkU5iaQtgU9qY50l/TvE+uWXgcFm83J3ovrfab+3KvX1j+zAne3b1hU3s64ZsC3vTX4/w8CWXTCeVe9JqweHF+rnlZ26g/x7mu5Hljus5mVGmfJ0CAAAECBAjkEZB55HGctlEEvNPW8QrWa7OroIljXEKJJyrHyNPZqUoMS0sMpdMDMOkTvE8ewlGvUUnB6cOt3eY6hPTSsZleNCFsOkH7YGMvtneH0fv0Lt7HIXETBA8fn6DdOxjG6xeW48+8shrXLy7Hu7fX48b9jebvpxeZPTkBnILlj+5vxa2HW+m2hCZkffL30ji3H203L15L1ym8cn4Qc71e/J/ba/G9R+lFa1vx8tnF5j+vnBt8Gg4f9ov39LUKZxfnmxerffxwc2wneEftQzr5nK678EOAAAECBAgQIJBHQOaRx3HaRhHwTlvHK1ivza6CJo5pCSWGhGOiKWKaLofzz/6x9RT4pZdxpdOSa1v7Rd2V2rUrMY5zcjSdzP3mxw9/wDvdf5tOv+7sHcTO/n5z9+3O/kFzB2+6k/fJC9LSdQe317bi9YvLzdUM6f7cO+vbn4bFK4PH9+k++Xn/7kakU8YpzE0vPbuw3P805F3f2Yu7aztxbmku5nqzTdh5+9FWcyL49tpOvHZ+Ma6dX4o/ffXMsQLep1+MdnFloVnDuJ4r19kUsTUqkgABAgQIEKhcQOZReYNbWp6AtyVYw7YnYLNrz7a2kUs9UVlbH066nlGu13j2btb04qo3L61kP1n4ovBxd3/YXA2Q/vj/mYW5idyVelLn9L0u/q4cdvfrUaeON3b34uHGXqTwNZ3cffKTTtqmMHd1aS4ebe7F7nAY6XRtuuohXc/wonA+zXfj/mZsbO/FnfXPXgGxszeMb9182NzpuzDXa07w3t3YiXtrO83J3nS1wo+9ejZWBvPRn+vF5TMLTUj8vJ90IvjGvc3o9eLTF7+l8DgFvE9OKj8bPh/W96fD4nTC+PrFx3cAP+9nlN8319mc5rfNdwkQIECAAAEChwvIPDwhJxEQ8J5EzXcmKmCzmyh/MZN37VRiMXAdK/Qkd7OmQO31i0txZjCfbTVH/bH1lCI+3NqLu+u7cWZhNv70y6vNC7dG+TnpXamjzPGiz5Z22v249wane3b39odxEAcxEzMxN9uL2T95+dqoLzJLc36croDY3Y8HG7uxvTeMveEwHmzsxM2H201APNvrxcrCbKwszMf+cL/57ynlTVctpID13NJ8E+6ml7U9ucv3SU9SuJtOH2/s7MfTL9wbV2+6fGI+xzNuDAIECBAgQIBAKQIyj1I61a06Bbzd6odqjiFgszsGko905l5RrTi9wFHhajo1uTqYbwLVwXyv+SP3Oe8EPc4fW3+wuducvFzb3o1zy/Pxytml5oVa6bTocX+evFjr1XNL8daVlRee8jzueKN+rqSA76gTvMdZ+0leZJbmvfVoO9Kp3XvrO/FHHz+Mta295rqHFCSfTS9SW12IpYX5mOtF9FPIf5BeBLfbnO5dXphv7uJdXpiLa+cWmx6n6yOOOoHedm/GFSIfpy8+Q4AAAQIECBCYdgGZx7Q/ASdbv4D3ZG6+NUEBm90E8Qua+rgn/A5b0iRPVBZEPbZSj3M3a7qaIefPcf/Yegr3vvnxo/jg3kZzZ+qPXF1pwrxXzy8e6yTv0y/WSic9f/Tl1eaP/I/z57hrPU4g2XbdOU/oj/oiszR32ht+5//caa5r+N7aTuzs7TcB7sWVflw9u9j8C4fhQcTmzl5zIndhfia2doexvx8RMxGvnB1EumohXQ+R9qr9YcRi//H3n3cCve3edPGKjrafIeMTIECAAAECBLoqIPPoame6XZeAt9v9Ud1zBGx2HovjCOQ84TepE5XHWec0fuawu1lze4xycvKTB1vNi7rSy9bSS8Beu7gYZxbm4/qF5SPLGuWu1CMHO8UHnj2tvL613wSSg7lezM7ORC9mYmtv/8hA8hQlHPuruULJ477ILAWxDzfTNRw7zQvUPnm4FR8/2Gyufki3gaRg/vLq4xeqpWsgUhC+ubsfd9e3487abiwvzDZ366b/Lb2U73w67Xt20FzfcJwT6G1dV5IzLJ/Uv5w49kPjgwQIECBAgACBAgRkHgU0qYMlCng72BQlHS5gs/OEHEdAaHEcJZ85TGDUP7aeAsCP7m8196h+b207Xlrpx5XVxXjl/CCW5l98svh5L9bKfRJ5lE6n06L/++bDuPVwJ+5tbDfXB+zsHzSBZQomzy7Nx7Wzi3Fuqd/KlRjHrXXU/jwZd9QXmT19LUN6md6731tvruP43nq6qmG/uVc3Bd/nl/txbrEfP3R5Ofqz379/Oc2XQt4HW3uxNDfb3N2bTmencDeFvC+fGzQB74WVfhzV9zauK/Evw477xPkcAQIECBAgQGA8AjKP8TjXNouAt7aOTsF6bHZT0ORMS8x1wu+ot89nKtcwHRM4yfPz/t2NSCctP7i7ESmMe+vqSry0PGjCvOf9vOjFWpOieDpAfLCZTqpuRrpfOF03kC6M6M/14sxgrgkyL68uxJ+6cibrfcejrnuUE9Zp7FFfZPbsi9Uebe3Fvc2d+OTBZnMSd74309ikV7idW5xvwvx0avvJVQtPh8q3H22n963FheV+E/JeXHn84rXPXzvXuI7yk/O6EtfZjCLvswQIECBAgACB9gVkHu0b1ziDgLfGrla+Jptd5Q3OuLycJ/yOOlmXsWxDdUDgpCfA02nIG/c3m3t4v/XJw+ZE5msXlpo7defSn8//k58u3GP7LPOLrgBYmO81p3f3h8PY3B02l8iuLMy+8L7YcbYv5920z4bFKbD96MFWbGzvNXftzs/2Ip3gTf/93TsbMTwYNoFx6mt6uV/6WVmYb65cSC9PSwH40yd513f24u7aTlw5uxDDYTQv4zvt9S85ritxgnecT6y5CBAgQIAAAQJHC8g8jjbyiR8UEPB6KooTsNkV17KJFpzrhN9EF2HysQucJvR6curz4/ubzWnPlf7jk53p1Gs6wXlwEMd6sdY4Fz1KULq+vR/3NnZiZ3/YnExOIfabl1YmdpI31920zxrcWdturqRI4y/255qrGD5O9yyvbcWN+1uxuzuMmd5MXDqz0LxgLf399EK1nb1hE94u9+fi6uriZ0L9jx5sxlJ/trm3N13h8cZLK/Hm5eVY6ud9OeAoz85J/2XG0/+y4r07681L49zBO4q8zxIgQIAAAQIEni8g8/BknERAwHsSNd+ZqIDNbqL8xU0+SnCVTvze39jtTHBVHHZFBZ/2j62ngDid4E3P1MXlhTizmO5knYnh8CB6vZkmEDzOi7XGRVr6vwjJdTftk7A43Zn7zY8fNYFuuprilXOD5rTurUfbkV6mt7a114S7y/3Z5h7ddGp3YW42hnEQ99d3m/ssLiz149JqPwZz3w9v00v49oYHzdUOL51ZiB96aSXeurLSnPid5M9JriN5Um9XXhA4ST9zEyBAgAABAgRyCsg8cmpOz1gC3unpdTUrtdlV08qxLSTXCb+xFWyiiQuc5gTvk+LTy9Yebe82J3gvrMx/5o/rp5O8x32xVtsYNV1lkuNu2hQWv/Punfjk4XZ8cG8jBnO9mJ3txfZuOrm8G482H59enu31Ip1+ff3i0md6u7m3Hw83dpuXpp0dpPt4Fz5t4d2N7Wac4cFMvHl5KV47v9xc35Feuvb0T46rF0Z5bmp6BkZZt88SIECAAAECBLooIPPoYle6X5OAt/s9UuEzAjY7j8RJBHKd8DvJ3L5TnkDuP7aeXkaWToCm/6Q/9p/uc3021JuUUo2nN08TkD7p/XfvrsetB9vN1QvpSG66fzed3r27sRP7+8NYHszGo839T+/cfdK/gziI22vbTTB8drEfL59bjNmU6EdEOsGbXtSW/vvbb5yPa+eX4vrFpU9bnyOgPulzVPop7pOu2/cIECBAgAABAl0TkHl0rSNl1CPgLaNPqnxKwGbncTiNwCQDlNPU7bvjF6gx+HxWMXeQ/bzTqOPv3OlmfPb0drpKYW9/GHvDYaRn4uHWXjza3Iv0zrx0oje9gC5dxzDzJyFumv3B1k7sDx9f05BeqpZetpZeUvfB3fVY391vrnX4f3/opfhTV880dxh34V9Auc7mdM+NbxMgQIAAAQIEcgnIPHJJTtc4At7p6ncVq7XZVdHGiS/iNCf8Jl68AsYiMA1/bD3XVRS7w2G8em6pE/fJnvbhOOz+5XSCN71gLv01Bbb7BxH3N3aiP5tO685/GvI+3NqJ3f2D5v7l1aW52Ns7aE7v3ri3GUsLc3H9/FK8cWk5/uwrZ6M/NxPfW9uJzd29uJP+upOuf5hpXsaWTnunU9/p5W1pz1rs9+LiSj8W5+eaqyHODNLp4nw/rrPJZ2kkAgQIECBAgMBJBWQeJ5Wb7u8JeKe7/0Wu3mZXZNsUTaBIgdr/2PppXyaXmnrr0VakoPj6heV48/JyLPW//1KxEpt+WOidvD66vxW3Hm419/Cm8HVn7yAebO40oexyf655gd7D7d3Y3hs2VzGsDuZic3e/Of27ezCMq2cG8cr5xfjhyytxdtBvXtyWTgcPh9Gc5k2ne5cXZj9zIjidEl7fTncAP77/9+rZQfPZNy+txGI/7wvaunCauMTnRs0ECBAgQIAAgVwCMo9cktM1joB3uvpdxWptdlW00SIIFCFQ+x9bd4L3Bx/Do66teP/uRqSTrrcfbUe6WXf/4KA5rZtOfO/uDSPd1JBO9aYgNp3sTZ95sLnX/O/Xzi3G2aV+/F8vr8ZBRNy4v9GcBN7eO2hOAP+ZV1ZjZeHFp3JToJxe3pdO9F47P4hzi/1468qZVn6XXGfTCqtBCRAgQIAAAQJHCsg8jiTygecICHg9FsUJTNNm5xqB4h5PBVcoUOIfWz/u3nFUmHlUO9PJ0vfurMfKYC4unxlEDXfwpjUfdv9yCsVv3N+Mje29uLO+0xClO3p7vZnmGoXbj7biw3tbsTA305ziXezPxUp/Lq6eG8TqYD7+7CurTci7vrMb37m13vjt7h3ED19ZaU7lphB4MP/iU7kp5E1XPaQ7gK+dW4rPXVpuvtfWz3GfpbbmNy4BAgQIECBAYNoEpinzmLbetrleAW+busZuRWAaNjsnp1p5dAxK4MQCpfyx9ZPsHdPwMrlRG3/U/cvpqoaPHzy+muLBxuPrGJogdDiMP775qDm9u7d/EGcW5+PKmUFcWl2Ii8v9+NxL37/CIt3je3djOz65vxUzvYiZmIlLZxaae3WvX1g6tOT0Lx1uPtyO1y4sNsH69YuHf37U9fs8AQIECBAgQIDA5ASmIfOYnG69Mwt46+1ttSurebMrJUSq9uGyMAJHCJwkQB0H6mn2jqPCzBfVP+6TpONwfHqOo+5fTuFuuj93Z28Yu/vDeLi125zsvfVgM6W1sTg3G//39fOxND8Xg/5sXD6z8OnJ3HStw3vfW4+769uxsTOMq6sLzYvW0nUOl1cH8cq5waF3Gdd6cnrcPTYfAQIECBAgQKCLAjVnHl30rqUmAW8tnZyiddS62R32x8DH/Sb1KXqcLJXAiQS69MfWc+wdR4WZzyKN8y7YEzUow5eOe//y+vZuc5o3nai9vbbVvFgt3ZGbXqKWrlBYXZz7gbB2e28/Pri7GTcfbcVcbyYuLi/E+vZe3F3faV6gll60lv562E+6izedGH713FK8dWXl0GsdMnAYggABAgQIECBAYEwCtWYeY+Kb2mkEvFPb+nIXXuNmd9wgYZxvUi/3CVE5gekRyLV3jDJOOvF7f2O3uYYghZDp/tc3L63EYv/F98aW2pFR7l9O1+be39yN9e39WF6Yiz/z8mrMzfaeu/Stvb348O5WfPJwMxbmZptAN+3vHz3YiqX+4/+ernOY7aUzvc//ufXo8RUR1y8sx5uXv3/1Q6nW6iZAgAABAgQIEHgsUGPmobftCwh42zc2Q2aBGjc7p+cyPySGIzAlAjn3jlHCzMV+Ly6u9GNxfi5ev7jU3Btb689xr79I60+nePeGw1juz8WV1RefwH3eCd70/XRlw+7+QfPddA9vf+75AfHjuZzgrfWZsy4CBAgQIEBgugVqzDymu6PjWb2AdzzOZskoUNtm5/7LjA+HoQhMkUAbe8dxw8x06nQw34tXzy9VeXL3eY/RUfcvp9D7kwfb8f7d9Sb4Ti9Me9HPs3fwvnJ2EDMzM3FvfSe208no1UG8en7xhdcuuIN3in7RLZUAAQIECBCYOoHaMo+pa+CEFizgnRC8aU8uUNtm5w32J38WfJNAaQI57+5tc+84Ksy8sNJvrmaYxp8X9TBdl/Dtm2vx4f2NmO/1Dj3Bm9w+ebAVdze24+aD7eY09FJ/7tgneNNp63Ra+LULi3H5zCCuX1yaxlZYMwECBAgQIECgSoHaMo8qm9TBRQl4O9gUJR0uUNNml4KCb378MNJdimtb+/HGxaXmFNdxf5ziOq6UzxGYrEDuwHRce0fOQHqyHWh/9lF7srG7Fx/d22r2/4ODiJdW+vHJw+0j7+BNL7i7cW8zer1oXuL2uUvLUxu2t99VMxAgQIAAAQIExi9QU+Yxfr3pnVHAO729L3blNW12o574el7T3MNY7KOs8CkQaOvKA3tHNx+eUU9Vp+scHm3vxu2HO81L1oYR8crZxeYla+kFds/+pHA37fkbO/tx7fwgzi32460rZ7qJoSoCBAgQIECAAIETCdSUeZwIwJdOJCDgPRGbL01SoKbNbmNnL75za/1Ydza+yNyb1Cf5NJqbwIsFDntpWW9mJlJYl4K6dPJz1JeW2Tu6+eSNei9yetnah/c2Y217N/745lrMz/bijZeW481Ly7G88P0X16XwN419f2M3dtIdvWcHzandNy+tTM0dyN3suKoIECBAgAABAvkFaso88usY8UUCAl7PRnECNW12TuHlffz8cfK8nqWM1sW+p5O737m91oRy6a7V/myvOZW5vDD7mWtYUnC3vr0f9zZ2Rgru7B3dfWFLCH4AACAASURBVDq/ffNR3N/ciRv3tprrFq6sDiIF+i/6SSd4/+ijh/Fwazf6szMxOzMb184vNt9NX0vXN6RAf38YI/+LgO4qqYwAAQIECBAgQOBFAjVlHro8PgEB7/iszZRJoKbNbtQ7G58ldAfvY5Hc95tmelQN07JAl/s+asg36h+9t3e0/HCdYvhRwv0np3LXdvaiFxFzs724tNKP7f1hbO8NYzg8iF5vJhbmerE6mI+FudkYzPfi1fNLTu6eoke+SoAAAQIECBDoskBNmUeXnWurTcBbW0enYD21bXaj3tn4dIun/U3qbd1vOgW/RkUvset9H/WP6T9pxqgvz7J3dPcxPux6jsNO5b60shA7e8PmNG86ufvkJ30nBbwXVvpeqNbdtquMAAECBAgQIJBFoLbMIwuKQY4UEPAeSeQDXROobbMbVxjUtT6etp427zc9bW2+355ACX0fV/Bq72jvOcsx8mn+RUQXrx3JYWIMAgQIECBAgACBowVqyzyOXrFP5BAQ8OZQNMZYBWrc7Nr+49xjbdAYJhvlj0Cf5H7TMSzBFCcQKKHv4746wd5xggdpzF/p8lUiY6YwHQECBAgQIECAwDEEasw8jrFsHzmlgID3lIC+Pn6BGje7UYIrb1KPEGqN//euCzOetu9nFubjjZeWI12FkF56NT/bi9nei19+dZI1j/vlZ/aOk3RpMt9xKncy7mYlQIAAAQIECJQmUGPmUVoPSqxXwFti16a85lo3u5Pe2fj6xaU4M5ifmqfCH0ufmlZ/ZqGn6fsf316Lze39WBnMxctnB7HUn2vGbuNe042dvfjOrfV4/+56LM7PxaUzCyM37NajrUhB8fULy/Hm5eVP633RQPaOkYl9gQABAgQIECBAgEBnBWrNPDoLXklhAt5KGjlNy6h5szvNnY3T8gyM637TafEsZZ0n6fv23n7cfLgV99Z34+ajrTizMBeD/mxcXO5HrzcTC3O95sVVC3OzMZjvxavnl2KxP3sqknGf4H1SrL3jVG3zZQIECBAgQIAAAQKdEag58+gMcoWFCHgrbGrtS5qGzc6djc9/isd9v2ntv0ulrO8kfV/f2YtPHmzF1t5e3F/fjRv3tmKpPxuXVxfi9QvLETMRGzv7kcZe7Pfi4kq/OXF72hPxJ6n16T4cHBzEe3fWm9PGl88M4kdfXh3pGgl7RylPtToJECBAgAABAgQIPF9gGjIPvc8vIODNb2rElgWmabNzZ+NnH6ZJnY5s+ZHu1PBdfOZG7Xs6ufvhvc1I1yXcWdtp7trd2x/G3OxMXFldjOsXlqI/14sUprbxEr6TnDZ+8hCk6xZuPtyO1y4sNgHv9YtLJ3o+utjHEy3ElwgQIECAAAECBAhMmcA0ZR5T1tpWlyvgbZXX4G0I2OzaUC1jzEncb1qGzOmr7PLJz1H7nu6/fbS9G7cf7jRXL1xYXogHG7uxvT+Mq6uDePX8Ygzmv38VQ3rpWrrKIZ3ovXZ+EOcW+/HWlTMnRj3NfcE37m1Grxdx7dxSfO7ScqwsPL4v2A8BAgQIECBAgAABAtMhIPOYjj7nXqWAN7eo8VoXsNm1TtzZCUY9yfm8haQgb3c4jFfPLcVbV1Y+E/R1duEtFlbC3a2j9H1jdy8+urcV6UVlBwfRvOSsNzMTd9e3Y3f/IK6sDj49wfs0awp5c4ar3775KO5v7nx6NUSaN9Xxop/cIXOLj4yhCRAgQIAAAQIECBBoUUDm0SJuxUMLeCtubq1Ls9nV2tmj1zXp+02PrrCsT6TrAL57ZyM2dx9fZbC5M2zue0131aYwMoWObdxTO6rSKH1P9+7e3diOmw+2m3t1l/pzzVUMHz14fAfv+aV+fO6l5efea5vreoS0vhScf+f2WqTTvKmm/myvmXt5YTZmngp6U23pM/c3dmMnnTA+O2hO7b55aeXUL3wb1dnnCRAgQIAAAQIECBCYvIDMY/I9KLECAW+JXZvymm120/0AdOF+0xo6MEoA2cY9taMaHqfv++kFZd9bb07rbuwM45WzgyZMXd/ei7vrO014mkLW9Nfn/Zz2BWfPjnlYgJ4y3nTCOF0/sT+MrC96G9XW5wkQIECAAAECBAgQ6I6AzKM7vSipEgFvSd1SayNgs5vuB8H9pnn6X9oVAsfpe3q52gd3N+Pmo62Y683ExeWF5hTy7UfbkS5HuLw6iFfODZpTvS/6yX2FRwlXYOR5ooxCgAABAgQIECBAgEAOAZlHDsXpG0PAO309L37FNrviW3jqBZQWTp56wZkHOE5Y+rwpc99TO+qyjur71t5efHh3Kz55uBkLc7NxdnG+Obmb7vBNd/GeGcw39+8e9pPu7k2fv35hOd68vHxoGDxK/V1+id0o6/BZAgQIECBAgAABAgTaFZB5tOtb6+gC3lo7W/G6bHYVN/eYSxvlegH3m/4g6nGuO3hRK3LeU3vMdn/6saP6/uQEbwp49/YPYn62F7v7w7i43I+lhbm4dm7xyJfq5T7B++wa033CqaYUlqd7jlON6d5jPwQIECBAgAABAgQIEEgCMg/PwUkEBLwnUfOdiQrY7CbK35nJ3W96slaM8sKy582Q+57aUVdxWN8PIuL9u+uRQtp0B++r5xbj3NJ8E+q+fPbwqxlSHZNe26gWPk+AAAECBAgQIECAQH0CMo/6ejqOFQl4x6FsjqwCNrusnEUP5n7T0duXrh/49s21+PD+Rsz3enFl9fkvHDts5LZPuR61qsP6fnd9t3lxWXqxWlrbuaV+XD6zcOTJ3TTnJE8nH7Vmf58AAQIECBAgQIAAgekQkHlMR59zr1LAm1vUeK0L2OxaJy5uAvebHr9lKfz8zq315qTr4vxcczftqD9t3VM7ah3P6/vG7l58dG8r1rZ3Y7k/F29eXmmuQjjqZ9L3Cx9Vn79PgAABAgQIECBAgMB0CMg8pqPPuVcp4M0tarzWBWx2rRMXO4H7TY9uXQ0neJ9d5bN9f+976/Foezdu3NuKpf5sc5L3sJA3hbuPr3XYj2vnB3FusR9vXTlzNKZPECBAgAABAgQIECBAILOAzCMz6JQMJ+CdkkbXtEybXU3dtJZxC5R+B+9xvI56GduTMdKdu17CdxxRnyFAgAABAgQIECBAYFwCMo9xSdc1j4C3rn5OxWpsdlPRZotsUeD9OxuRrln44O5mXF0dxMpg7tizlXJPrZfwHbulPkiAAAECBAgQIECAQIcEZB4dakZBpQh4C2qWUh8L2Ow8CQROJ5BOrb57ez1u3N+I4TDi2vnFKu+p9RK+0z0nvk2AAAECBAgQIECAwPgFZB7jN69hRgFvDV2csjXY7Kas4ZbbisC3bz6K+5s7U3FPrZfwtfIIGZQAAQIECBAgQIAAgRYEZB4toE7BkALeKWhybUu02dXWUeuZhMA03lPrJXyTeNLMSYAAAQIECBAgQIDAKAIyj1G0fPaJgIDXs1CcgM2uuJYpuKMC7qntaGOURYAAAQIECBAgQIDA1ArIPKa29adauID3VHy+PAkBm90k1M1Zq4B7amvtrHURIECAAAECBAgQIFCigMyjxK5NvmYB7+R7oIIRBWx2I4L5OIFjCLin9hhIPkKAAAECBAgQIECAAIGWBWQeLQNXOryAt9LG1rwsm13N3bW2SQu4p3bSHTA/AQIECBAgQIAAAQLTLCDzmObun3ztAt6T2/nmhARsdhOCNy0BAgQIECBAgAABAgQIECDQqoDMo1XeagcX8Fbb2noXZrOrt7dW1m0Bp3u73R/VESBAgAABAgQIECBQvoDMo/weTmIFAt5JqJvzVAI2u1Px+TKBkQXczzsymS8QIECAAAECBAgQIEDgRAIyjxOxTf2XBLxT/wiUB2CzK69nKi5TYHNnPz68txFbu8PY3tuPh1u7sb03jOHwIHq9mViY68XqYD4W5mZjMN+LV88vxWJ/tszFqpoAAQIECBAgQIAAAQIdEJB5dKAJBZYg4C2wadNess1u2p8A6x+HwKOt3fjunY3Y3N2LO2s7sbkzjNneTCz1Z6M3MxPDg4PY2NmPdG3DYr8XF1f6sTg/F69fXIozg/lxlGgOAgQIECBAgAABAgQIVCcg86iupWNZkIB3LMwmySlgs8upaSwCPyiQTu5+5/ZapKsZPnmwFf3ZXpxf6sfywmzMzMx8+oWDg4NY396Pexs7sbM/jKtnB7GyMBdvXlpxkteDRYAAAQIECBAgQIAAgRMIyDxOgOYrIeD1EBQnYLMrrmUKLkzg2zcfxf3Nnbhxb6s5sXtlddCc2n3RTzrNe/PhVnOi99r5QZxb7MdbV84UtmrlEiBAgAABAgQIECBAYPICMo/J96DECgS8JXZtymu22U35A2D5rQqkU7vv3l6PG/c3YjiMuHZ+8dBw90kxKeS9cW8zer2Ia+eW4nOXlpvTvH4IECBAgAABAgQIECBA4PgCMo/jW/nk9wUEvJ6G4gRsdsW1TMEFCbx/ZyNuPdqKD+5uxtXVQawMjh/Spnt7bz7cjtcuLMblM4O4fnGpoJUrlQABAgQIECBAgAABApMXkHlMvgclViDgLbFrU16zzW7KHwDLb00gvTDtmx8/bALeta39eOPi0mfu3D1q4nQn73t31ptQOAW8P/ryavNiNj8ECBAgQIAAAQIECBAgcDwBmcfxnHzqswICXk9EcQI2u+JapuBCBLZ29+PbN9fiw/sbMd/rNXfvjvqT7uLdHQ7j1XNL8daVlRjMz446hM8TIECAAAECBAgQIEBgagVkHlPb+lMtXMB7Kj5fnoSAzW4S6uacBoGNnb34zq31eP/ueizOz8WlMwsjLzud/k1B8fULy/Hm5eVY6h//ioeRJ/MFAgQIECBAgAABAgQIVCYg86isoWNajoB3TNCmySdgs8tnaSQCTws4wet5IECAAAECBAgQIECAwGQFZB6T9S91dgFvqZ2b4rptdlPcfEtvVcAdvK3yGpwAAQIECBAgQIAAAQJHCsg8jiTygecICHg9FsUJ2OyKa5mCCxJ4/85G85K1D+5uxtXVQfPCtOP+PNrajZsPt+O1C4vNS9auX1w67ld9jgABAgQIECBAgAABAgQiQubhMTiJgID3JGq+M1EBm91E+U1eucDa9l68e3s9btzfiOEw4tr5xejNzBy56uHBQdy4txm9XsS1c0vxuUvLsbJw/HD4yAl8gAABAgQIECBAgAABAlMgIPOYgia3sEQBbwuohmxXwGbXrm+XR09XCOzuDyOFiSl0nJ/txWzv6PCxy2vqYm3fvvko7m/uxI17W7HUn40rq4NDQ97Uj5sPt2JjZz+unR/EucV+vHXlTBeXpiYCBAgQIECAAAECBAh0WkDm0en2dLY4AW9nW6OwFwk8vdm9993348rLrwj8Kn9c0qnSu2s78XBrNw4Ovr/YdLB0dTAfF1b6TotmfAY2d/bjO7fXIrl/8mAr+rO9OL/Uj+WF2Zh56jTvwcFB85n7G7uxsz+Mq2cHTR/evLQSi/3ZjBUZigABAgQIECBAgAABAtMhIOCdjj7nXqWAN7eo8VoXeHqz+29f/8O48vK1T+cU+LXOP9YJUtD44b2N2NodxvbefhPwbu8NYzg8iF5vJhbmek3AuzA3G4P5Xrx6fkmwmKlD6T7d797ZiM3dvbizthObO8PmtHQ60Zt+z1LQvrGzF/vDiMV+Ly6u9GNxfi5ev7gUZwbzmaowDAECBAgQIECAAAECBKZLQMA7Xf3OtVoBby5J44xN4OnN7te++o1YfemqwG9s+uOb6LCAMV3PkK4FSFcCpGsbBIzt9EXA3o6rUQkQIECAAAECBAgQIPAiAQGvZ+MkAgLek6j5zkQFnt7sfvm/vhPXX3utuR9U4DfRtmSdfJQrAta39+Pexo4rArJ24LODuSKjRVxDEyBAgAABAgQIECBA4CkBAa/H4SQCAt6TqPnORAWe3ux+83f+IK6+8uqn9aQ7QQV+E21Plsm95CsLY/ZBvOQuO6kBCRAgQIAAAQIECBAg8BkBAa8H4iQCAt6TqPnORAU+E/B+/Q/j6lN38D4pLJ3mvflwq/kj/NfOD+LcYj/eunJmonWb/HgC6bTou7fX48b9jRgOI66dX2xOaB/1k3p+495m9HoR184txecuLXvx2lFo/j4BAgQIECBAgAABAgQIdEpAwNupdhRTjIC3mFYp9InAcQLe9FmBX5nPzPt3NuLWo6344O5mXF0dxMpg7tgLSff23ny4Ha9dWIzLZwZx/eLSsb/rgwQIECBAgAABAgQIECBAYNICAt5Jd6DM+QW8ZfZtqqs+bsCbkAR+ZT0q6QqAb378sAl417b2442LSzFzjNO7T1aZruh47856EwqngPdHX16N2d7Rp3/LUlItAQIECBAgQIAAAQIECNQqIOCttbPtrkvA266v0VsQGCXgFfi10IAWh9za3Y9v31yLD+9vxHyvF1dWByPPlq7m2B0O49VzS/HWlZUYzM+OPIYvECBAgAABAgQIECBAgACBSQgIeCehXv6cAt7yezh1Kxgl4E04Ar9yHpGNnb34zq31eP/ueizOz8WlMwsjF59O/6ag+PqF5Xjz8nIs9Y9/xcPIk/kCAQIECBAgQIAAAQIECBDIKCDgzYg5RUMJeKeo2bUsddSAV+BXTued4C2nVyolQIAAAQIECBAgQIAAgfwCAt78ptMwooB3Grpc2RpHDXid4C3nAXAHbzm9UikBAgQIECBAgAABAgQI5BcQ8OY3nYYRBbzT0OXK1jhKwOsO3vKa//6djeYlax/c3Yyrq4PmhWnH/fFSveNK+RwBAgQIECBAgAABAgQIdFFAwNvFrnS/JgFv93ukwmcERgl4BX7lPT5r23vx7u31uHF/I4bDiGvnF6M3M3PkQoYHB3Hj3mb0ehHXzi3F5y4tx8rC8cPhIyfwAQIECBAgQIAAAQIECBAg0LKAgLdl4EqHF/BW2tial3XcgFfgV+5T8O2bj+L+5k7cuLcVS/3ZuLI6ODTkTb1OV3Fs7OzHtfODOLfYj7eunCkXQOUECBAgQIAAAQIECBAgMJUCAt6pbPupFy3gPTWhAcYtcJyAV+A37q7knW9zZz++c3st0mneTx5sRX+2F+eX+rG8MBszT53mTVdwpM/c39iNnf1hXD07aE7tvnlpJRb7s3mLMhoBAgQIECBAgAABAgQIEGhZQMDbMnClwwt4K21szcv6TMD7O38QV1959dPlCvzq6Xy6XuO7dzZic3cv7qztxObOMGZ7M82J3pTxHhxEbOzsxf4wYrHfi4sr/Vicn4vXLy7FmcF8PRBWQoAAAQIECBAgQIAAAQJTIyDgnZpWZ12ogDcrp8HGIfD0ZvfL//WduP7aawK/ccBPYI50kvfDexuxtTuM7b39eLi1G9t7wxgOD6LXm4mFuV6sDuZjYW42BvO9ePX8kpO7E+iTKQkQIECAAAECBAgQIEAgj4CAN4/jtI0i4J22jlew3qc3u1/76jdi9aWrAr8K+nrYEtI1DHfXdpqAN53cffKTTvKmgPfCSt8L1Sp/BiyPAAECBAgQIECAAAEC0yAg4J2GLudfo4A3v6kRWxZ4erP7b1//w7jy8jWBX8vmXRl+f3gQu/vDSHcs92ZmYn6211zb4IcAAQIECBAgQIAAAQIECNQgIOCtoYvjX4OAd/zmZjylwNOb3XvffT+uvPyKwO+Upr5OgAABAgQIECBAgAABAgQITF5AwDv5HpRYgYC3xK5Nec02uyl/ACyfAAECBAgQIECAAAECBAhUKiDzqLSxLS9LwNsysOHzC9js8psakQABAgQIECBAgAABAgQIEJi8gMxj8j0osQIBb4ldm/KabXZT/gBYPgECBAgQIECAAAECBAgQqFRA5lFpY1teloC3ZWDD5xew2eU3NSIBAgQIECBAgAABAgQIECAweQGZx+R7UGIFAt4SuzblNdvspvwBsHwCBAgQIECAAAECBAgQIFCpgMyj0sa2vCwBb8vAhs8vYLPLb2pEAgQIECBAgAABAgQIECBAYPICMo/J96DECgS8JXZtymu22U35A2D5BAgQIECAAAECBAgQIECgUgGZR6WNbXlZAt6WgQ2fX8Bml9/UiAQIECBAgAABAgQIECBAgMDkBWQek+9BiRUIeEvs2oRrXltbi2984xvx9a9/vfnPO++8E++9915T1euvv/7p/91WmTa7tmSNS4AAAQIECBAgQIAAAQIECExSQOYxSf1y5xbwltu7iVX+5S9/Ob72ta89d34B78TaYmICBAgQIECAAAECBAgQIECgcAEBb+ENnFD5At4JwZc87Ze+9KX4rd/6rWYJFy5ciC984QvxP/7H/4h0slfAW3Jn1U6AAAECBAgQIECAAAECBAhMUkDAO0n9cucW8Jbbu4lV/m//7b+NM2fOxNtvvx0//MM/3NTxxhtvxHe/+10B78S6YmICBAgQIECAAAECBAgQIECgdAEBb+kdnEz9At7JuFc3q4C3upZaEAECBAgQIECAAAECBAgQIDBmAQHvmMErmU7AW0kjJ70MAe+kO2B+AgQIECBAgAABAgQIECBAoHQBAW/pHZxM/QLeybhXN6uAt7qWWhABAgQIECBAgAABAgQIECAwZgEB75jBK5lOwFtJIye9DAHvpDtgfgIECBAgQIAAAQIECBAgQKB0AQFv6R2cTP0C3sm4VzdrzoA3bWaH/Xz88cfxxS9+sfnIBx98EK+++mp1nhZEgAABAgQIECBAgAABAgQITJ+AgHf6ep5jxQLeHIrGiJwB78zMzLFFBbzHpvJBAgQIECBAgAABAgQIECBAoOMCAt6ON6ij5Ql4O9qY0soS8JbWMfUSIECAAAECBAgQIECAAAECXRMQ8HatI2XUI+Ato08jVznKKdgXDf4rv/Ir8dM//dPHmjtnwOuKhmOR+xABAgQIECBAgAABAgQIECBQmYCAt7KGjmk5At4xQY97mpID3qOsbHZHCfn7BAgQIECAAAECBAgQIECAQIkCMo8Suzb5mgW8k+9BKxV861vfOvW4L7/8cpw9e/ZY4+Q8wXvUhDa7o4T8fQIECBAgQIAAAQIECBAgQKBEAZlHiV2bfM0C3sn3oIoKBLxVtNEiCBAgQIAAAQIECBAgQIAAgQkKCHgniF/w1ALegpvXpdIFvF3qhloIECBAgAABAgQIECBAgACBEgUEvCV2bfI1C3gn34MqKhDwVtFGiyBAgAABAgQIECBAgAABAgQmKCDgnSB+wVMLeAtuXpdKF/B2qRtqIUCAAAECBAgQIECAAAECBEoUEPCW2LXJ1yzgnXwPiqvgj//4j+O3f/u3P1P3z/7sz8adO3fi4sWL8Yu/+Iuf+Xt/8S/+xbh69Wq2ddrsslEaiAABAgQIECBAgAABAgQIEOiQgMyjQ80oqBQBb0HN6kqpv/qrvxp/5+/8nWOX89WvfjW+9KUvHfvzR33QZneUkL9PgAABAgQIECBAgAABAgQIlCgg8yixa5OvWcA7+R4UV4GAt7iWKZgAAQIECBAgQIAAAQIECBAoQEDAW0CTOliigLeDTVHS4QI2O08IAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIE/Yb7ugAAIABJREFUCBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtUzBNjvPAAECBAgQIECAAAECBAgQIFCjgMyjxq62vyYBb/vGZsgsYLPLDGo4AgQIECBAgAABAgQIECBAoBMCMo9OtKG4IgS8xbVMwTY7zwABAgQIECBAgAABAgQIECBQo4DMo8autr8mAW/7xmbILGCzywxqOAIECBAgQIAAAQIECBAgQKATAjKPTrShuCIEvMW1TME2O88AAQIECBAgQIAAAQIECBAgUKOAzKPGrra/JgFv+8ZmyCxgs8sMajgCBAgQIECAAAECBAgQIECgEwIyj060obgiBLzFtWzyBb/33nvxla98Jb72ta/F7/3e78WNGzdiOBzGSy+9FF/4whfip37qp+Inf/InY25urpVibXatsBqUAAECBAgQIECAAAECBAgQmLCAzGPCDSh0egFvoY2bVNk/93M/F7/wC78QBwcHh5bw9ttvx6//+q/H9evXs5dqs8tOakACBAgQIECAAAECBAgQIECgAwIyjw40ocASBLwFNm2SJf/Mz/xM/PIv/3IsLy/HX/krfyV+4id+It56660YDAbxzW9+M37pl34p3nnnnabE9L9/4xvfiJWVlawl2+yychqMAAECBAgQIECAAAECBAgQ6IiAzKMjjSisDAFvYQ2bdLn/7J/9s7h48WL8/b//9+PMmTM/UM7+/n78jb/xN+I//af/1Py9n//5n49//s//edaybXZZOQ1GgAABAgQIECBAgAABAgQIdERA5tGRRhRWhoC3sIaVUO6dO3filVdeiZ2dnfj85z/f3NOb88dml1PTWAQIECBAgAABAgQIECBAgEBXBGQeXelEWXUIeMvqVzHVpjt4f/d3fzeWlpZifX09a902u6ycBiNAgAABAgQIECBAgAABAgQ6IiDz6EgjCitDwFtYw0op98d+7Mfi93//95trHB4+fJi1bJtdVk6DESBAgAABAgQIECBAgAABAh0RkHl0pBGFlSHgLaxhJZR769atuHbtWuzt7cUXv/jF+J3f+Z2sZdvssnIajAABAgQIECBAgAABAgQIEOiIgMyjI40orAwBb2ENK6Hcf/JP/kn84i/+YlNq+us//sf/eKSy02Z22M/HH3/cBMfp54MPPohXX311pPF9mAABAgQIECBAgAABAgQIECDQRQEBbxe70v2aBLzd71FRFabTuj/+4z/enN5Nwev/+l//q7mHd5SfmZmZY39cwHtsKh8kQIAAAQIECBAgQIAAAQIEOi4g4O14gzpanoC3o40psaybN2/GF77whUibUQpp//t//+/xF/7CXxh5KQLekcl8gQABAgQIECBAgAABAgQIEKhAQMBbQRMnsAQB7wTQxzHlKCHpi+r5lV/5lfjpn/7pY5X76NGj+PKXvxz/83/+z+bz//Jf/sv4p//0nx7ru89+yBUNJ2LzJQIECBAgQIAAAQIECBAgQKBwAQFv4Q2cUPkC3gnBtz3tOAPera2t+Et/6S/FV7/61WZZP/uzPxv/6l/9q9aWaLNrjdbABAgQIECAAAECBAgQIECAwAQFZB4TxC94agFvwc07rPRvfetbp17Zyy+/HGfPnj10nHTX7l/9q381vvKVrzSf+5mf+Zn4d//u35167sMGsNm1ymtwAgQIECBAgAABAgQIECBAYEICMo8JwRc+rYC38AZOsvzhcBh/82/+zfi1X/u1poy//tf/evyH//AfotfrtVqWza5VXoMTIECAAAECBAgQIECAAAECExKQeUwIvvBpBbyFN3CS5f+9v/f34t//+3/flPCX//Jfjv/8n/9zzM3NtV6Sza51YhMQIECAAAECBAgQIECAAAECExCQeUwAvYIpBbwVNHESS/hH/+gfxb/+1/+6mfonfuIn4jd+4zdiYWFhLKXY7MbCbBICBAgQIECAAAECBAgQIEBgzAIyjzGDVzKdgLeSRo5zGf/iX/yL+Pmf//lmyj/35/5c/OZv/mYsLy+PrQSb3dioTUSAAAECBAgQIECAAAECBAiMUUDmMUbsiqYS8FbUzHEs5d/8m38T//Af/sNmqmvXrsV//I//8cgXsf3Ij/xIzM/PZyvPZpeN0kAECBAgQIAAAQIECBAgQIBAhwRkHh1qRkGlCHgLalYXSv3Sl74Uv/VbvzVSKe+++2688cYbI33nsA/b7LJRGogAAQIECBAgQIAAAQIECBDokIDMo0PNKKgUAW9BzepCqQLeLnRBDQQIECBAgAABAgQIECBAgECNAgLeGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5vGr7oeAAAf+0lEQVQhs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBdvsPAMECBAgQIAAAQIECBAgQIBAjQIyjxq72v6aBLztG5shs4DNLjOo4QgQIECAAAECBAgQIECAAIFOCMg8OtGG4ooQ8BbXMgXb7DwDBAgQIECAAAECBAgQIECAQI0CMo8au9r+mgS87RubIbOAzS4zqOEIECBAgAABAgQIECBAgACBTgjIPDrRhuKKEPAW1zIF2+w8AwQIECBAgAABAgQIECBAgECNAjKPGrva/poEvO0bmyGzgM0uM6jhCBAgQIAAAQIECBAgQIAAgU4IyDw60YbiihDwFtcyBb/33nvxuc99roH4+te/Hi+//DIUAgQIECBAgAABAgQIECBAgEDxAh9//HF88YtfbNbx7rvvxhtvvFH8miygfQEBb/vGZsgs8M4773y62WUe2nAECBAgQIAAAQIECBAgQIAAgU4IpENtb7/9didqUUS3BQS83e6P6p4jIOD1WBAgQIAAAQIECBAgQIAAAQK1Cwh4a+9wvvUJePNZGmlMAltbW/H7v//7zWyXLl2Kubm5Mc1smpMKPP1HTFyrcVJF3yPwYgG/Y54OAu0K+B1r19foBPyOeQYItCvgd6xd39yj7+3txe3bt5thP//5z8dgMMg9hfEqFBDwVthUSyLQNQGXxHetI+qpTcDvWG0dtZ6uCfgd61pH1FObgN+x2jpqPV0T8DvWtY6oh0B+AQFvflMjEiDwjIB/oPBIEGhXwO9Yu75GJ+B3zDNAoF0Bv2Pt+hqdgN8xzwCB+gUEvPX32AoJTFzAP1BMvAUKqFzA71jlDba8iQv4HZt4CxRQuYDfscobbHkTF/A7NvEWKIBA6wIC3taJTUCAgH+g8AwQaFfA71i7vkYn4HfMM0CgXQG/Y+36Gp2A3zHPAIH6BQS89ffYCglMXMA/UEy8BQqoXMDvWOUNtryJC/gdm3gLFFC5gN+xyhtseRMX8Ds28RYogEDrAgLe1olNQICAf6DwDBBoV8DvWLu+Rifgd8wzQKBdAb9j7foanYDfMc8AgfoFBLz199gKCUxcwD9QTLwFCqhcwO9Y5Q22vIkL+B2beAsUULmA37HKG2x5ExfwOzbxFiiAQOsCAt7WiU1AgIB/oPAMEGhXwO9Yu75GJ+B3zDNAoF0Bv2Pt+hqdgN8xzwCB+gUEvPX32AoJECBAgAABAgQIECBAgAABAgQIEKhUQMBbaWMtiwABAgQIECBAgAABAgQIECBAgACB+gUEvPX32AoJECBAgAABAgQIECBAgAABAgQIEKhUQMBbaWMtiwABAgQIECBAgAABAgQIECBAgACB+gUEvPX32AoJECBAgAABAgQIECBAgAABAgQIEKhUQMBbaWMtiwABAgQIECBAgAABAgQIECBAgACB+gUEvPX32AoJECBAgAABAgQIECBAgAABAgQIEKhUQMBbaWMtiwABAgQIECBAgAABAgQIECBAgACB+gUEvPX32AoJECBAgAABAgQIECBAgAABAgQIEKhUQMBbaWMtiwABAgQIECBAgAABAgQIECBAgACB+gUEvPX32AoJdFrgvffei6985Svxta99LX7v934vbty4EcPhMF566aX4whe+ED/1Uz8VP/mTPxlzc3OdXofiCHRVYG1tLb7xjW/E17/+9eY/77zzTqTfu/Tz+uuvf/p/d7V+dRGYpMB3v/vd+KVf+qX4jd/4jfjggw9iYWEh3nzzzfhrf+2vxT/4B/8glpaWJlmeuQkUK3Dr1q3P/P9L6f9vunPnTrOev/23/3b86q/+arFrUziBLgj87u/+bvyX//Jf4rd/+7fjj/7oj+L27dsxPz8fr7zySvz5P//n4+/+3b8bP/7jP96FUtVAgEAmAQFvJkjDECAwusDP/dzPxS/8wi/EwcHBoV9+++2349d//dfj+vXro0/iGwSmXODLX/5y8y9Qnvcj4J3yh8PyDxVI//Lxb/2tv/X/t3fnoVZV7R/AH8cyFaXBCiuLtPyjNKwsLXMqiVSkxCbLDAyRJsi0tHCAQiVtoAhpoEnMiorS/kgqURs0cigpUyobLGh0IivNfFn791Oy1PRc7z3n7P3Z8BLXe9Ze6/k893Lf+73rrB0bN27c7etOOumkLPht27YtSQIE9lOgXr16exwh4N1PTC8n8A+B8847LxYuXPifLkOGDIlHH300Gjdu/J+v9QICBCpfQMBb+T2yQgK5FRg2bFg8/vjj0bRp07j44oujd+/e0a5duzj44INj5cqV2a6ptKMjXenf0y7EZs2a5dZDYQRqQ6BHjx4xf/787NaHHnpotjP+3XffjbSzV8BbG+LumQeBZcuWZTucfvvtt+znzpgxYyL9sSR9PGvWrOwX4nSlkDftkmrevHkeylYDgToT+HvAm/6A3759+5g7d242v4C3ztpgopwKpD88fv7559lu3UGDBkW3bt2yjTLbtm2L9957L6ZNm5a9azJdV1xxRcycOTOnEsoiUCwBAW+x+q1aAhUlcNttt8Vhhx0WI0aM2O0vx+n/hFx55ZXx/PPPZ+ueOHFijBs3rqJqsBgClS7wyCOPZN9faSf8jp2Gxx9/fKS3ngt4K7171lcugR27n9LxQAsWLIguXbrsspR77rknRo8enf3b+PHjY8KECeVaqnkJVKVA+r5JP5fS/4488sjsuKATTjhBwFuV3bToShPo169fpN25AwcOjAYNGvxreT/99FP2R8zVq1dnn0sbAdLPPRcBAtUtIOCt7v5ZPYHcC6Tz2NJfn7ds2RKnnnpqdk6viwCBmgkIeGvmZ3S+BdJZ1WeddVZW5PDhw2P69On/KjidFX/KKadk7zZp2bJlpPNE09mGLgIEShMQ8JbmZhSBUgXmzJkT/fv3z4bfeOON2TsnXQQIVLeAgLe6+2f1BAohkHZ3pLfApofZ/Prrr4WoWZEEalNAwFubuu5d7QJjx46NSZMmZWUsWrRoZ9j7z7omT56cHd2Qrtdffz369OlT7aVbP4GyCQh4y0Zv4oIKpN+pdhx9d9FFF2VnyrsIEKhuAQFvdffP6gkUQqBDhw6xYsWK7G3me3rYTSEgFEngAAkIeA8QpNvkUmDH8QzpfPj169dHOqZhd1c6x7Br167Zp9LxQekYIRcBAqUJCHhLczOKQKkCv/zyS3ZUXrrSTt5XX3211FsZR4BAhQgIeCukEZZBgMDuBdLbXlu3bh1//vlndO7cORYvXoyKAIEaCgh4awhoeK4FjjjiiEjnE3bs2DGWL1++x1rXrVuXPbgwXekhNjvOi881juII1JKAgLeWYN2WwB4EXn755bjkkkuyz6Yz5adMmcKKAIEqFxDwVnkDLZ9A3gVGjRoVU6dOzcpM/x05cmTeS1YfgVoXEPDWOrEJqlTg999/jyZNmmSr79u3b6QzCvd2pbe3pre5nn322dmTyV0ECJQmIOAtzc0oAqUIpHPk08ND05nz6UpH4Z1++uml3MoYAgQqSEDAW0HNsBQCBHYVSLt1zz333Gz37jHHHBOrVq3KzuF1ESBQMwEBb838jM6vwI8//hitWrXKCrzsssti1qxZey32yCOPzB6wlh64lo4SchEgUJqAgLc0N6MIlCIwbdq0uPXWW7OhaRfviy++WMptjCFAoMIEBLwV1hDLIUDg/wS+//77OOOMM2Lt2rVRr169eOONN6JXr154CBA4AAIC3gOA6Ba5FPjmm2/iuOOOy2q7+uqr4+mnn95rnem1acyJJ54Yn332WS5NFEWgLgQEvHWhbA4CEfPnz4/zzz8/20CT/qCZ/ji54w+bfAgQqG4BAW9198/qCdSJQApYa3o98cQTMXTo0H26zaZNm6Jnz56xZMmS7PXpTKh0NpSLQF4F6vp7TMCb168kddVUwA7emgoaT6A0AQFvaW5GEdgfgY8//ji6desW6Qz5gw8+OF5//fVIDxZ1ESCQDwEBbz76qAoCtSpQl+FTOv/woosuinnz5mU1pbcP3XPPPbVan5sTKLdAXX6PpVoFvOXuuPkrVcAZvJXaGevKu4CAN+8dVl+5BdasWZMdfffdd99FgwYNsmMZBgwYUO5lmZ8AgQMoIOA9gJhuRSCvAp9++mmNSzv66KOjRYsWe71PeqtQOgdq9uzZ2euGDRsWjz76aI3ndgMClS5QV99jOxwEvJX+FWF95RQ4/PDD4+eff46OHTvG8uXL97iUtAPq0EMPzT4/aNCgeP7558u5bHMTqGoBAW9Vt8/iK1wghbpp5+4XX3yRHX335JNPxpAhQyp81ZZHgMD+Cgh491fM6wkQqBWB9DTXwYMH73ygTXq4zcyZM6N+/fq1Mp+bEiiygIC3yN1X+38JpLerLly4MJo2bRrr16+Phg0b7nbIe++9F127ds0+N27cuJg4ceJ/3drnCRDYg4CA15cGgdoR+Omnn6J79+7xySefZBM89NBDcf3119fOZO5KgEBZBQS8ZeU3OQECOwSuu+66eOyxx7IP+/fvHy+99NIef6mmRoBAzQQEvDXzMzrfAmPHjo1JkyZlRS5atCjOOuus3RY8efLkGDNmTPa5dI5hnz598g2jOgK1KCDgrUVcty6swIYNG7KHVC9dujQzSD+3brvttsJ6KJxA3gUEvHnvsPoIVIHALbfcEvfdd1+20t69e8drr70WBx10UBWs3BIJVKeAgLc6+2bVdSPw/vvv7wx1hw8fHtOnT//XxOldJ6ecckqsXLkyWrZsGT/88EM0atSobhZoFgI5FBDw5rCpSiqrwObNm7M/PL7zzjvZOu6444646667yromkxMgULsCAt7a9XV3AgT+Q2DChAk739aa3uo6d+7c7G2xLgIEak9AwFt7tu6cD4EdxzSk4xkWLFgQXbp02aWw9PDP0aNHZ/82fvz4SD/LXAQIlC4g4C3dzkgC/xTYsmVL9o7I9HtVum6++ea4//77QREgkHMBAW/OG6w8ApUs8OCDD8ZNN92ULbF169bx3HPP/eeD2E4++WS7pCq5qdZWcQKfffZZvP3227us69Zbb80eInXYYYfF1KlTd/nchRdeGEcddVTF1WFBBOpSYNmyZXHOOefEb7/9Fs2aNYt0bEPPnj2zj2fNmhWPPPJItpyTTjopPvjgg2jevHldLs9cBKpeIP1cSj+fdlzpnNBRo0ZlH6bvvfSg3b9fQ4cOrfqaFUCgrgQGDhyYHXeXrnREQwp308PV9nQ1btw4+3nmIkCgugUEvNXdP6snUNUCPXr0iPnz5+9XDWvWrIm0+9BFgMC+CaQnJV977bX79uKImDdvXqTvTReBogvMnj07rrrqqti4ceNuKdIvw+lIobZt2xadSv0E9lsgBbZPPfXUPo/bvn37Pr/WCwkUXWBvYe7ubNq0aRNpF72LAIHqFhDwVnf/rJ5AVQsIeKu6fRZfJQIC3ipplGVWpMBXX30VDzzwQBbkrl27NtIupxToDho0KG644YY45JBDKnLdFkWg0gUEvJXeIeurZgEBbzV3z9oJlC4g4C3dzkgCBAgQIECAAAECBAgQIECAAAECBAiUVUDAW1Z+kxMgQIAAAQIECBAgQIAAAQIECBAgQKB0AQFv6XZGEiBAgAABAgQIECBAgAABAgQIECBAoKwCAt6y8pucAAECBAgQIECAAAECBAgQIECAAAECpQsIeEu3M5IAAQIECBAgQIAAAQIECBAgQIAAAQJlFRDwlpXf5AQIECBAgAABAgQIECBAgAABAgQIEChdQMBbup2RBAgQIECAAAECBAgQIECAAAECBAgQKKuAgLes/CYnQIAAAQIECBAgQIAAAQIECBAgQIBA6QIC3tLtjCRAgAABAgQIECBAgAABAgQIECBAgEBZBQS8ZeU3OQECBAgQIECAAAECBAgQIECAAAECBEoXEPCWbmckAQIECBAgQIAAAQIECBAgQIAAAQIEyiog4C0rv8kJECBAgAABAgQIECBAgAABAgQIECBQuoCAt3Q7IwkQIECAAAECBAgQIECAAAECBAgQIFBWAQFvWflNToAAAQIECBAgQIAAAQIECBAgQIAAgdIFBLyl2xlJgAABAgQIECBAgAABAgQIECBAgACBsgoIeMvKb3ICBAgQIECAAAECBAgQIECAAAECBAiULiDgLd3OSAIECBAgQIAAAQIECBAgQIAAAQIECJRVQMBbVn6TEyBAgAABAgQIECBAgAABAgQIECBAoHQBAW/pdkYSIECAAAECBAgQIECAAAECBAgQIECgrAIC3rLym5wAAQIECBAgQIAAAQIECBAgQIAAAQKlCwh4S7czkgABAgQIECBAgAABAgQIECBAgAABAmUVEPCWld/kBAgQIECAAAECBAgQIECAAAECBAgQKF1AwFu6nZEECBAgQIAAAQIECBAgQIAAAQIECBAoq4CAt6z8JidAgAABAgQIECBAgAABAgQIECBAgEDpAgLe0u2MJECAAAECBAgQyJnAzJkzY/DgwVlVI0aMiIcffni3FX799dfRsWPHWL9+fbRv3z6WLl0aTZo0yZmGcggQIECAAAECBKpBQMBbDV2yRgIECBAgQIAAgToTSAFvCnrTNWfOnOjbt+8uc//111/Rq1evmD9/fjRq1CgWLVoUnTp1qrP1mYgAAQIECBAgQIDA3wUEvL4eCBAgQIAAAQIECPxNYMOGDdGhQ4dIu3RbtWoVK1asyP6745o8eXKMGTMm+3DSpElx++238yNAgAABAgQIECBQNgEBb9noTUyAAAECBAgQIFCpAgsWLIiePXtG2q3br1+/mD17drbUJUuWRJcuXWLr1q1x3nnnxbx586J+/fqVWoZ1ESBAgAABAgQIFEBAwFuAJiuRAAECBAgQIEBg/wXGjh2b7dBNVzqL95prrsmOYli1alW0aNEiPvzww2jTps3+39gIAgQIECBAgAABAgdQQMB7ADHdigABAgQIECBAID8CaZdu2q2bdu2mB6j16dMnXnnllazAGTNm7HwYW34qVgkBAgQIECBAgEA1Cgh4q7Fr1kyAAAECBAgQIFAnAmm3btq1u3nz5p3zXXHFFTsfwlYnizAJAQIECBAgQIAAgb0ICHh9eRAgQIAAAQIECBDYi8CECRNi4sSJ2SuOOOKIWL16dbRs2ZIZAQIECBAgQIAAgYoQEPBWRBssggABAgQIECBAoBIFNm7cGB07dowvv/wyW169evXijTfeiF69elXicq2JAAECBAgQIECggAIC3gI2XckECBAgQIAAAQL7JjBkyJB45plnshc3b948Nm3aFMcee2x89NFHdvHuG6FXESBAgAABAgQI1LKAgLeWgd2eAAECBAgQIECgOgVeeOGFuPTSS7PFDxs2LAYMGBD9+/fPPr788svj2Wefrc7CrJoAAQIECBAgQCBXAgLeXLVTMQQIECBAgAABAgdC4Ntvv41TTz011q1bF+3atYtly5ZF06ZNY8SIETF9+vRsihkzZsTgwYMPxHTuQYAAAQIECBAgQKBkAQFvyXQGEiBAgAABAgQI5FFg+/btccEFF8Sbb74ZDRs2jHfeeSc6d+6clbp58+bo1KlTrFq1Klq0aJEd1XDcccflkUFNBAgQIECAAAECVSIg4K2SRlkmAQIECBAgQIBA3Qjce++9MXLkyGyyiRMnxrhx43aZ+IMPPoiuXbvG1q1bo3v37vHWW29F/fr162ZxZiFAgAABAgQIECDwDwEBry8JAgQIECBAgAABAv8vsGLFijjzzDPjjz/+iC5dusTChQujQYMG//K5++67484778z+fcqUKTF69GiGBAgQIECAAAECBMoiIOAtC7tJCRAgQIAAAQIEKk0ghbop3E0hb7NmzWL58uVx4okn7naZ27Ztix49esTbb78djRs3jsWLF8dpp51WaSVZDwECBAgQIECAQAEEBLwFaLISCRAgQIAAAQIECBAgQIAAAQIECBDIp4CAN599VRUBAgQIECBAgAABAgQIECBAgAABAgUQEPAWoMlKJECAAAECBAgQIECAAAECBAgQIEAgnwIC3nz2VVUECBAgQIAAAQIECBAgQIAAAQIECBRAQMBbgCYrkQABAgQIECBAgAABAgQIECBAgACBfAoIePPZV1URIECAAAECBAgQIECAAAECBAgQIFAAAQFvAZqsRAIECBAgQIAAAQIECBAgQIAAAQIE8ikg4M1nX1VFgAABAgQIECBAgAABAgQIECBAgEABBAS8BWiyEgkQIECAAAECBAgQIECAAAECBAgQyKeAgDeffVUVAQIECBAgQIAAAQIECBAgQIAAAQIFEBDwFqDJSiRAgAABAgQIECBAgAABAgQIECBAIJ8CAt589lVVBAgQIECAAAECBAgQIECAAAECBAgUQEDAW4AmK5EAAQIECBAgQIAAAQIECBAgQIAAgXwKCHjz2VdVESBAgAABAgQIECBAgAABAgQIECBQAAEBbwGarEQCBAgQIECAAAECBAgQIECAAAECBPIpIODNZ19VRYAAAQIECBAgQIAAAQIECBAgQIBAAQQEvAVoshIJECBAgAABAgQIECBAgAABAgQIEMingIA3n31VFQECBAgQIECAAAECBAgQIECAAAECBRAQ8BagyUokQIAAAQIECBAgQIAAAQIECBAgQCCfAgLefPZVVQQIECBAgAABAgQIECBAgAABAgQIFEBAwFuAJiuRAAECBAgQIECAAAECBAgQIECAAIF8Cgh489lXVREgQIAAAQIECBAgQIAAAQIECBAgUAABAW8BmqxEAgQIECBAgAABAgQIECBAgAABAgTyKSDgzWdfVUWAAAECBAgQIECAAAECBAgQIECAQAEEBLwFaLISCRAgQIAAAQIECBAgQIAAAQIECBDIp4CAN599VRUBAgQIECBAgAABAgQIECBAgAABAgUQEPAWoMlKJECAAAECBAgQIECAAAECBAgQIEAgnwIC3nz2VVUECBAgQIAAAQIECBAgQIAAAQIECBRAQMBbgCYrkQABAgQIECBAgAABAgQIECBAgACBfAoIePPZV1URIECAAAECBAgQIECAAAECBAgQIFAAAQFvAZqsRAIECBAgQIAAAQIECBAgQIAAAQIE8ikg4M1nX1VFgAABAgQIECBAgAABAgQIECBAgEABBAS8BWiyEgkQIECAAAECBAgQIECAAAECBAgQyKeAgDeffVUVAQIECBAgQIAAAQIECBAgQIAAAQIFEBDwFqDJSiRAgAABAgQIECBAgAABAgQIECBAIJ8CAt589lVVBAgQIECAAAECBAgQIECAAAECBAgUQEDAW4AmK5EAAQIECBAgQIAAAQIECBAgQIAAgXwKCHjz2VdVESBAgAABAgQIECBAgAABAgQIECBQAAEBbwGarEQCBAgQIECAAAECBAgQIECAAAECBPIpIODNZ19VRYAAAQIECBAgQIAAAQIECBAgQIBAAQQEvAVoshIJECBAgAABAgQIECBAgAABAgQIEMingIA3n31VFQECBAgQIECAAAECBAgQIECAAAECBRAQ8BagyUokQIAAAQIECBAgQIAAAQIECBAgQCCfAgLefPZVVQQIECBAgAABAgQIECBAgAABAgQIFEBAwFuAJiuRAAECBAgQIECAAAECBAgQIECAAIF8Cgh489lXVREgQIAAAQIECBAgQIAAAQIECBAgUAABAW8BmqxEAgQIECBAgAABAgQIECBAgAABAgTyKSDgzWdfVUWAAAECBAgQIECAAAECBAgQIECAQAEEBLwFaLISCRAgQIAAAQIECBAgQIAAAQIECBDIp4CAN599VRUBAgQIECBAgAABAgQIECBAgAABAgUQEPAWoMlKJECAAAECBAgQIECAAAECBAgQIEAgnwL/AxJH3YfYK1Y0AAAAAElFTkSuQmCC\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# From https://jakevdp.github.io/PythonDataScienceHandbook/06.00-figure-code.html#Principal-Components-Rotation\n",
    "def draw_vector(v0, v1, ax=None):\n",
    "    ax = ax or plt.gca()\n",
    "    arrowprops=dict(arrowstyle='->',\n",
    "                    linewidth=2,\n",
    "                    shrinkA=0, shrinkB=0)\n",
    "    ax.annotate('', v1, v0, arrowprops=arrowprops)\n",
    "\n",
    "def project_points(src, tgt, ax=None, color='red'):\n",
    "    ax = ax or plt.gca()\n",
    "    src2 = tgt * np.dot(src, tgt) / np.linalg.norm(tgt)\n",
    "    ax.plot([src[0], src2[0]], [src[1], src2[1]], color=color, lw=.7)\n",
    "\n",
    "def draw_projection(v0, v1, ax=None):\n",
    "    ax = ax or plt.gca()\n",
    "    arrowprops=dict(arrowstyle='->',\n",
    "                    linewidth=.8,\n",
    "                    shrinkA=0, shrinkB=0)\n",
    "    ax.annotate('', v1, v0, arrowprops=arrowprops)\n",
    "\n",
    "rng = np.random.RandomState(1)\n",
    "X = np.dot(rng.rand(2, 2), rng.randn(2, 200)).T\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(7, 6))\n",
    "\n",
    "# plot data\n",
    "ax.scatter(X[:, 0], X[:, 1], alpha=0.2)\n",
    "ax.set_xlim(-2.5, 2.5)\n",
    "ax.set_ylim(-2.5, 2.5)\n",
    "# ax.axis('equal');\n",
    "ax.set(xlabel='x', ylabel='y', title='input');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are the first two principal components. Notice that they are orthogonal to each other.\n",
    "\n",
    "**Question:** Does direction matter?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\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",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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fOITU/d8xjOekd7xjnfscA7vete7Uvz95BVHTcRz8MQnPjGtXLnyt74TxzVETX/7t3+bzj333O7vnTO+2+01AAECBAgQIJBSEvB6DAgQIECAAAECBQkIeOfXrEEHvE996lPTe9/73m4y73vf+7pwsuQrZ8D76le/Op100knp1re+9S6JYift0Ucf3e2GjivOw42dvbt7zTbgjfts3ry5m8O3v/3t7raxwzjOCo5zdKdf8ffHHHPM1K7jOF/3i1/84qyOdJiYmOienec+97kpjnfwIsnd7bDvEyBAgAABAgJezwABAgQIECBAoCABAe/8mjXogDd2aX7wgx/sJhNntcafS75yBrxzcYmQ9KEPfWj3lZhT7KqNnbG7c80l4I37fPrTn06PetSjpm75+c9/fmpO8R8joI3jG37+8593n4mjJmJH7o527e5q3t/73ve6c7R3t77dsfFdAgQIECBAoA4BAW8dfVQFAQIECBCoRmA2Qdz973//dOaZZ3Y1f/WrX03x52uvvbZ7kdPHP/7x7teeb7rppu7FV/Hr4M973vPSHe5wh10a7Siwu+aaa7qddvEr2zFmvFgrzsv8gz/4g+5Xue9617vucszYufjXf/3X3Wde9apXpfjzrq7pQdT97ne/FH+evKaf4zqbZu/Oi7LiHNIvfelL6T//8z9ThFBxRmqcIxq7GX/nd36nq/vhD394+tM//dPuv82nphj73e9+dzr77LPTr3/96xTnssZZto997GPT05/+9LR48eLZlJli12eM89GPfjT99Kc/nepRnPEau2yj/3HN5rma6YbT+znTZ6eHvrM5g3dnvY9f6f/nf/7n7vzWyy+/vHuu3/SmN6W/+Iu/mJpC9Pozn/lMZ/Df//3fU58bHx/vXvoWO2ePOOKIFC8Oi+dqbGys++5cXz42jOMEVq9enW52s5tN1Rb13O1ud5uJe9bPYHxwpn8bV155Zdpvv/2mxnzb296WnvWsZ039OdaYE044YerPn/3sZ9Nxxx23W3Pc/svxLL///e9PX/va19IvfvGLFC7Rt7322ivd8pa3THe60526dS9e1jbXYHmgEzUYAQIECBAgMBICAt6RaINJECBAgAABApMCswnitg94Iwz8kz/5k+5FRju64qVHcV5mBH47u7YPeH/3d383PeYxj+nCx52N+YpXvGKXoW2JAe93vvOddOyxx3ZB6UxX9OqTn/zkLoPu7YPLM844owvLIozf2RWBXgTMESbv6opfb4+dltNf4LX95//sz/4svfWtb02HH35490KruOYbVA4z4I3ANl7e9alPfeq3CKYHvFdccUVnMNujDP7jP/6j629coxjwxjm1EWJOXvEDgAind+ea6w7eeNnb9B9cxJm5L3vZy6amED/giR9QxHXb2962+8HC9B3QuzPX+G48Z3Gu85YtW2Yc6vGPf3z6l3/5lxk/5wMECBAgQIBA3QIC3rr7qzoCBAgQIFCcwFwD3thd95d/+ZddIHnzm9+8Oz8zfuU5wt4IYWI3alyx++0b3/hGd67njq7pAW8ELG95y1u6XasrVqxID3zgA7sdfRH2xo7htWvXTg3xyle+Mr3mNa/Z4ZiDDHgjeI2dnBGAfehDH+ruF+eCxtmmO7re/va3z6v3//7v/z71YqvwjF21Bx10ULfDNuqO3YQRusVZpZNziF2+t7nNbXZ4v+0D3uhvHG0Q/YhdtvECrviV9zjTdHpQGy/Xit2rO7sirL33ve/d7VadvGKuEQ5H2BZz+tGPftT91fOf//xuF/buBrwxn8k5xcvAItiLKwK/qGP6Fbubo7645rqDN852jZDzc5/7XFfLPe5xj/R7v/d73c7TqCl6Hue3RgAY94hdrpNX7FSP/+29995p/fr16Te/+U36wQ9+MOU0PeCNndnxnMc1/UViz3zmM3fIHs/5PvvsM6/narZf+uY3v5nue9/7Tn08+rv//vvP9uszPoPxgbnu4I1/S5MmsWN80jbG+qu/+qupXfq7Ncn//XL0Y/ru7PghR6xZ8dsI8SzEbyrEcxc/3Ij+C3gHoW4MAgQIECBQvoCAt/weqoAAAQIECFQlMNeAd+nSpV3Y+IY3vCE95znPSYsWLZryuOSSS7qzMyeDvvh1/cmdd9ujTQ94Y/fexo0bu/Dkne985zY7CiP0fcpTntLtXI0rgsqvf/3r6T73uc9v9WGQAe/k4LnP4I0gOX7l/MQTT9zpsRbxK+wvfOELu8A5rgg4v/zlL88YrkWvIiCLHZkRUk8PRSN0i52208OtOIYjws4dXbELNULWuOJX+mMXYxwbMf2K81yjh9Gz2OUdOzPjmu8O3uljz+UM3rkGvPEMxzN9xzveMX34wx/u/u/0KwzDMnb5/vEf/3H3VxEAxm7fyVB5e7Mf//jHXb8e/ehHpyOPPPK3SEflDN6nPe1pU7u7I7Cf/Le7O4vcXHfwhmM4TV7Tz+A966yzuh8i7ejvdmeO8d3oefQxXuoW1ymnnJJe8IIX7PC4kgh6o/9xRvGLX/zi3b217xMgQIAAAQKFCwh4C2+g6RMgQIAAgdoE5hrwRv3/9E//lCIY2tEVAVGcVxkBYoRYsbM3QpTtr+mBXfxdBMP/9m//NnVe6fTPRxDzoAc9aOqM3Ah84qzM7a8SA965PE9hFCFqXOedd1734qntr+3DtTgqIXbXxs7oHV1xtmmccRpXHK8QR2tsf8Uu1Ac/+MHdf46eRtA7edbu9p+N8D3OnZ2+a3PUA96oIXatxou7dnVMRYTsp556aldyHHkRP3iY7zUKAe///M//dLuVJ48miB+uxFnXu3vNJeCNex911FHdjvK44oc9EbjGbvm44gcJsTt78oofuMSL0gZxxVo1GebHLuYIk10ECBAgQIAAgdkICHhno+QzBAgQIECAwNAE5hrwRiDywx/+cJfzi12NcaxAXDt7IdL0gDfCrvj19cMOO2yn40b4FsHx5BW/Nh3n9k6/ag9446VecfZxXLH79tnPfvZveW0frsVRCdN3R27/hQiMIziOK45bmH78wORn455x77giEJ78/3fWrNjFe/rpp0/9dQkB72zCzem7XT/96U+nRz7ykfP+d9p3wBsvj4ujCCZ37MaRFBH4zvZle7sqfLYBbwS58UOFeEYnrwiYoxeTVzzncTzG5HX99ddv81K4eTcgpTT9eIrYmb2j85d3Z3zfJUCAAAECBOoVEPDW21uVESBAgACBIgXmGvDGuaBxDu6urghtYpdvXDsLIqcHvLPdPRcB5Pe///1u3NhpGveZfpUe8MaZu7GTMcLs+FXwOP93+oufYjd0BItxPfnJT07ve9/7fqsN08O18fHxtHr16l2GdnFm7OQO6zjv9ZprrvmtMeNs4JhPXLHLevujGbb/QrzY7Q//8A+n/nMJAW/UPdN5t3/zN3/TnQEb18Me9rDuV/bjhYLzufoMeGN3dYT2H/vYx7qpx/ET8QOZ6T9AmU9Nk9/ZPuDd/ozhOI4lzmeO3d6TZ3bHd+MHNhG6Tu9DvHAtXq44ecVu/vmab19THClz8MEHd/85jh0Jg3iJm4sAAQIECBAgMJOAgHcmIX9PgAABAgQIDFVgrgFv7HKbPId0ZxN9+ctfnl73utd1fx1vp48/b39ND3jjV9/f+MY3zlh3BEWTu/tiN+VkiDz5xVID3jjfM4LDOCc3Qt3ZXI94xCO6gHH7a3q4duc737nblbmrK87JjV+LjyvOop08N3fyOxEqx0vfJq8Iend1jEF8LkLleDHW5DENox7wHnrooemXv/zljOzxoq14oVq8pC6uONM4gvZ4QV2cXzs9tJ1psD4D3pe85CXdGdqT1wc+8IEU/x4HdW0f8M5m3DiCJc5OPuCAA7b5eM4dvHGjeHHg5PEQcYxJHAfxqEc9qnvx3PLly2czdZ8hQIAAAQIEGhQQ8DbYdCUTIECAAIFRFphrwBsvTdvZ+auTdc4maJ0e8O5sl+/2bq9//evTS1/60u4/Rwgz+eK1udx3+pjTg6g4Nzb+vP2V+yVrsZMxXmx28cUXz+kx2dkL7KbXFOPGi9NmunYVNkZAfNe73rUbIgKv+NX+2VwrV65M8ev0cY16wBsvQYuX3c3mijN4X/SiF21zxnB8L+qNF//FcxRHN8y0E7SvgDeC3Qh4J6/4NzXol4bNFPDGDxJix2ysPXGcy+Me97guUN3RlfMM3rhfnGX9wAc+MF1xxRXb3D7meJe73KX7txm70ePFhoPaOTyb58xnCBAgQIAAgdEWEPCOdn/MjgABAgQINCcw14D3q1/9arr//e+/S6e5Brzvfe9708knnzyj/dvf/vapc2ePPfbYFC//mn7N5r7TPz8KAW8EW/Fr6XHFi6XixV0RKEVAGEcjLFu2bOrFc7OZ72w+sz30rsLGePFUvNQurti5O3lUw0zNil2/sfs3rlEPeHcW7u+sxgjN47iG+GHH9JfJTf98BIJvetObpl7iNRfzmWzn+/ex4336sSbxw5JTTjllvsPt9HuzPYN3Njee/vzF57/whS90O6YHeUW4G0dBxA76G264YYdDH3jggSnWl915sd4g52wsAgQIECBAoF8BAW+//u5OgAABAgQIbCcwCgFvXzt4I6CLIC6uPnbwTn/JU/x6eOwijZdd7eyK82/jaIZdzXfQAW8LO3jnGvBO9ieCwQh7v/GNb6QIIsNq8viG+EyE8/FDiB3tTh32Dt7YCXvSSSdNBdLbv8xskAvjIAPeDRs2dLt94//G9apXvaoLWnNccY84riHOBo5/m9HXOG5k+hUvNoz1ykWAAAECBAi0LSDgbbv/qidAgAABAiMnMAoB72zP4H3Ws56V3vGOd3SGT33qU9O73/3ubTynv5Apzv2N8393dcV5wo9+9KO7j/QR8E5/aVecLxw7lHd1Td/BvLP5Djrg3f4M3quvvjqtWrVql/OMc4QjlCvlDN75BrzbI8Tu5tNPP73b3Tv5sro4m/dHP/rRb3kNM+D9xCc+0b1UbfKFfXHO7Ac/+ME5nRk8l4VrkAFv3DeOUIjfHIgrXsT205/+dC7Tmfdn4zzqr3zlK93u3gjwJ694GdsRRxwx73F9kQABAgQIEChfQMBbfg9VQIAAAQIEqhIYhYD3qKOO6nbNzXTd/e53T9/73ve6j73rXe/a5tfN47+97W1vS895znO6v49fRY/P7Op6zWte0+0IjGtnIV+ckRtGcR1yyCEpzuQd1BW7KP/xH/+xGy7+79Of/vRdDv3Yxz42fexjH9vlfAcd8MbN4qiIyaMZPve5z6WHPexhu5xn7Fp98IMfPPWZ2o5omKn/sfMznunJ64ILLki3vvWtt/nasALez3/+89151ZMvz4sfaHz0ox/Nep7soAPeeObj2Z+8Yif7wx/+8JnaMLC/j52997jHPaaC+le+8pUp1g4XAQIECBAg0K6AgLfd3qucAAECBAiMpMAoBLwRdkUIduihh+7U6Mc//nG6wx3uMPX3P/nJT9Ltbne7bT4//QiDe93rXulb3/rWLs1jvBg3rp0FvPFr+Pvvv3/3mQMOOGDqXNlBNDN27b7zne/shvqHf/iH9LznPW+nw/7617/ufDZu3LjL+eYIeGP3Z4SCccX//5GPfGSX5ccO0TgSYPJqLeCNumOX87XXXtsRxK/73/ve997GLI5vWL9+ffffoqeLFy8exCO1zRhxBEmE8ZP3ibNrP/3pT6clS5YM/F7TBxx0wBvHXsS/9fPPP7+7TZzvfO6556a99957TnXED4fihzQz7UDf0aAveMELun+jcT3taU9LcZ6xiwABAgQIEGhXQMDbbu9VToAAAQIERlJgFALegDnuuOPSZz7zmR3+2nj8annsCI3AKq6d7fj9zW9+04WwcTRAhMYR3t7+9rffoXsEqxGwTl47C3hj997y5cu7s1UjhLvpppsGFsadeuqpKY6niCteXDf5a+jbTzjqf+QjH5liN+ZM880R8E7fkRuucY9jjjlmh66xezX+bvpZtLUEvHE8Rbxobqbr+uuvT4GVRY4AACAASURBVPvtt99UGP+LX/wiHXbYYdt8bdAvodt+ThEqx7+ZeF7jiuf7i1/8YncucO5r0AFvzDfqiRo2b97cTf9ud7tbV0/sLp/pivUgXuQYu/vjB0OTO/Kvu+667iiRsbGxmYbodhBP7p5/xSte0R3D4SJAgAABAgTaFRDwttt7lRMgQIAAgZEUGIWAN3YUxi7GeAlUnDO75557TllFCBNHF0yGKxEwfu1rX9vmV+Cnwx577LHduZlx3fnOd05xpECEaZNXBERvectb0kte8pK0aNGiqZc37eoc1tg9+LOf/awbInaynnDCCQPpZZwlGi9VmzyrNnYJRnA0PYSL0DqOm4jwe4899tgmsIsgbfsrR8Ab95h+DurKlSu7HboPfehDt7n9GWeckU488cRu52qE4ZPHAtQS8IZBhP1PfOITu9rj/9/+ijOL43zoCB/juu1tbzv17Ez/7EMe8pD0pS99qftPb3jDG9KLXvSigTxTMcj3v//99IAHPCDdcMMN3Zj3vOc905e//OUUL/IbxpUj4I15Tz+DOv687777pjhr+wlPeMIOd/OuWbOm+6HI6173uvTDH/6wK336s3jaaad153THv6/HPOYxU8HvdKP4Ac973vOeLhye/HcaP8S4z33uMwxK9yBAgAABAgRGVEDAO6KNMS0CBAgQINCqwCgEvHEOboSusfMxwt0I0mJnXoSbsWt3chdi9OhlL3tZ99KjnV3f+c53uvBlcgdphKUx3oEHHtgFjxEOX3nllV3Ydcopp6RnP/vZ3VC7CngjRIqQKK4ILh/0oAel29zmNtvs5P37v//7eT1CEU596EMfmvruLW5xi+4FTlF/nPcb843wO1ze+MY3Tp07PKyXrE1OLIKxOGYgjqyYvOKIi9hJGaF7hIqTIdrzn//8FC/2ivOLtw/V5oWUUheqxovB4vrABz7Q/XlnVwR3T3rSk7q/Dt/48/bXfILw2GV95plndkPFDyXiBWoR4MYu0Hix3MUXX9wdCzL57C1cuLD7AUOEudtfERrGr/rHFX4xdoy3dOnSqY/Gcxdh+lyv6Wcmx3cf97jHzXqcCK63D+7nev9cAW/M48Mf/nA6+eSTp34wE/8tnOOM3IMPPrirM9aRCNrPOeecqV3Ukz2Lf1Pxbyyu6c9J/Dm+f6c73WlqV3CsP9/+9renjtqIzzz+8Y/f5viRudr4PAECBAgQIFCHgIC3jj6qggABAgQIVCMwCgFvBHYRlMUuussvv3yHthHivPSlL+123M10vf/97+/CszjaYEdXBDz/+q//2v197HSMa1cBb+yEjDN9Y8ftzq7J3X0zzW37v1+7dm33EqzY/bqzK3Ygx7m3sSN2pvnOJ7ic7Qu/4siLmOvkWag7mm/sXn3HO96RDj/88OoC3jhGJALb2VwRsr773e/ujtbY0RW9jN3mEeDv7Jrvzufp/ZzNXKd/Jn7Y8upXv3quX9vm8zkD3rhRPIfxorNPfepTs5pn/FAmdt3H7vjpL7v7+Mc/3h29MJt/u3GMQ+z0ffOb3zywI1pmNXkfIkCAAAECBEZSQMA7km0xKQIECBAg0K7AqAS8sSPzqquu6kKxCG5ip138inWcqRs7cJ/xjGd0u0Vne5133nndS5FiB3CExuPj491Lyo4//vjuyIc4S3UuYWjMJc7tjV/5jnM8Y5fg5BEEMafZhEQ7m3vs+Dz99NO7HaqxE3b16tXd/CKMivmGTexMnM18Z/OZ7ecx24A3vhcv7IoeRUAegXcE1JO7jp/ylKd0u5vjms1zNdtexudGYQdv9Dj6E0eAxE7xeA4uvfTSbod57LyNIwNiB2jsgI1ds3vttdcuS4zn533ve1+32/lHP/pRt1N08iV68UUB766fkHj+4t9jHD8RL2mMM5JjJ3W4xxnId73rXdPRRx/dhbs7e7Fa7EiPH67EsQs/+MEP0i9/+cvu33ZcsTM7fvAUZ37H8TFxnIqLAAECBAgQIBACAl7PAQECBAgQIEBgjoEdMAIECBAgQIAAAQIECIyKgIB3VDphHgQIECBAgECvAnPZkdnrRN2cAAECBAgQIECAAAEC0wQEvB4HAgQIECBAgIAdvJ4BAgQIECBAgAABAgQKFRDwFto40yZAgAABAgQGK2AH72A9jUaAAAECBAgQIECAwHAEBLzDcXYXAgQIECBAYMQFBLwj3iDTI0CAAAECBAgQIEBghwICXg8GAQIECBAgQMARDZ4BAgQIECBAgAABAgQKFRDwFto40yZAgAABAgQGK2AH72A9jUaAAAECBAgQIECAwHAEBLzDcXYXAgQIECBAgAABAgQIECBAgAABAgQIDFxAwDtwUgMSIECAAAECBAgQIECAAAECBAgQIEBgOAIC3uE4uwsBAgQIECBAgAABAgQIECBAgAABAgQGLiDgHTipAQkQIECAAAECBAgQIECAAAECBAgQIDAcAQHvcJzdhQABAgQIECBAgAABAgQIECBAgAABAgMXEPAOnNSABAgQIECAAAECBAgQIECAAAECBAgQGI6AgHc4zu5CgAABAgQIECBAgAABAgQIECBAgACBgQsIeAdOakACBAgQIECAAAECBAgQIECAAAECBAgMR0DAOxxndxmgwPr169O5557bjbjvvvumRYsWDXB0QxEgQIAAAQIECBAgQIAAAQIE+hHYvHlzuuqqq7qb3/GOd0zj4+P9TMRdixIQ8BbVLpMNgXPOOScdeeSRMAgQIECAAAECBAgQIECAAAEC1QqcffbZ6Ygjjqi2PoUNTkDAOzhLIw1JQMA7JGi3IUCAAAECBAgQIECAAAECBHoTEPD2Rl/cjQW8xbXMhC+66KJ06KGHdhCx2N3iFreAQoAAAQIECBAgQIAAAQIECBAoXuDyyy+f+q3lCy+8MN3qVrcqviYF5BcQ8OY3docBC1x66aXplre8ZTfqJZdckg466KAB38FwBAgQIECAAAECBAgQIECAAIHhC8g8hm9ewx0FvDV0sbEaLHaNNVy5BAgQIECAAAECBAgQIECgEQGZRyONHnCZAt4Bgxouv4DFLr+xOxAgQIAAAQIECBAgQIAAAQLDF5B5DN+8hjsKeGvoYmM1WOwaa7hyCRAgQIAAAQIECBAgQIBAIwIyj0YaPeAyBbwDBjVcfgGLXX5jdyBAgAABAgQIECBAgAABAgSGLyDzGL55DXcU8NbQxcZqsNg11nDlEiBAgAABAgQIECBAgACBRgRkHo00esBlCngHDGq4/AIWu/zG7kCAAAECBAgQIECAAAECBAgMX0DmMXzzGu4o4K2hi43VYLFrrOHKJUCAAAECBAgQIECAAAECjQjIPBpp9IDLFPAOGNRw+QUsdvmN3YEAAQIECBAgQIAAAQIECBAYvoDMY/jmNdxRwFtDFxurwWLXWMOVS4AAAQIECBAgQIAAAQIEGhGQeTTS6AGXKeAdMKjh8gtY7PIbuwMBAgQIECBAgAABAgQIECAwfAGZx/DNa7ijgLeGLjZWg8WusYYrlwABAgQIECBAgAABAgQINCIg82ik0QMuU8A7YFDD5Rew2OU3dgcCBAgQIECAAAECBAgQIEBg+AIyj+Gb13BHAW8NXWysBotdYw1XLgECBAgQIECAAAECBAgQaERA5tFIowdcpoB3wKCGyy9gsctv7A4ECBAgQIAAAQIECBAgQIDA8AVkHsM3r+GOAt4authYDRa7xhquXAIECBAgQIAAAQIECBAg0IiAzKORRg+4TAHvgEENl1/AYpff2B0IECBAgAABAgQIECBAgACB4QvIPIZvXsMdBbw1dLGxGix2jTVcuQQIECBAgAABAgQIECBAoBEBmUcjjR5wmQLeAYMaLr+AxS6/sTsQIECAAAECBAgQIECAAAECwxeQeQzfvIY7Cnhr6GJjNVjsGmu4cgkQIECAAAECBAgQIECAQCMCMo9GGj3gMgW8AwY1XH4Bi11+Y3cgQIAAAQIECBAgQIAAAQIEhi8g8xi+eQ13FPDW0MXGarDYNdZw5RIgQIAAAQIECBAgQIAAgUYEZB6NNHrAZQp4BwxquPwCFrv8xu5AgAABAgQIECBAgAABAgQIDF9A5jF88xruKOCtoYuN1WCxa6zhyiVAgAABAgQIECBAgAABAo0IyDwaafSAyxTwDhjUcPkFLHb5jd2BAAECBAgQIECAAAECBAgQGL6AzGP45jXcUcBbQxcbq8Fi11jDlUuAAAECBAgQIECAAAECBBoRkHk00ugBlyngHTCo4fILWOzyG7sDAQIECBAgQIAAAQIECBAgMHwBmcfwzWu4o4C3hi42VoPFrrGGK5cAAQIECBAgQIAAAQIECDQiIPNopNEDLlPAO2BQw+UXsNjlN3YHAgQIECBAgAABAgQIECBAYPgCMo/hm9dwRwFvDV1srAaLXWMNVy4BAgQIECBAgAABAgQIEGhEQObRSKMHXKaAd8CghssvYLHLb+wOBAgQIECAAAECBAgQIECAwPAFZB7DN6/hjgLeGrrYWA0Wu8YarlwCBAgQIECAAAECBAgQINCIgMyjkUYPuEwB74BBDZdfwGKX39gdCBAgQIAAAQIECBAgQIAAgeELyDyGb17DHQW8NXSxsRosdo01XLkECBAgQIAAAQIECBAgQKARAZlHI40ecJkC3gGDGi6/gMUuv7E7ECBAgAABAgQIECBAgAABAsMXkHkM37yGOwp4a+hiYzVY7BpruHIJECBAgAABAgQIECBAgEAjAjKPRho94DIFvAMGNVx+AYtdfmN3IECAAAECBAgQIECAAAECBIYvIPMYvnkNdxTw1tDFxmqw2DXWcOUSIECAAAECBAgQIECAAIFGBGQejTR6wGUKeAcMarj8Aha7/MbuQIAAAQIECBAgQIAAAQIECAxfQOYxfPMa7ijgraGLjdVgsWus4colQIAAAQIECBAgQIAAAQKNCMg8Gmn0gMsU8A4Y1HD5BSx2+Y3dgQABAgQIECBAgAABAgQIEBi+gMxj+OY13FHAW0MXG6vBYtdYw5VLgAABAgQIECBAgAABAgQaEZB5NNLoAZcp4B0wqOHyC1js8hu7AwECBAgQIECAAAECBAgQIDB8AZnH8M1ruKOAt4YuNlaDxa6xhiuXAAECBAgQIECAAAECBAg0IiDzaKTRAy5TwDtgUMPlF7DY5Td2BwIECBAgQIAAAQIECBAgQGD4AjKP4ZvXcEcBbw1dbKwGi11jDVcuAQIECBAgQIAAAQIECBBoREDm0UijB1ymgHfAoIbLL2Cxy2/sDgQIECBAgAABAgQIECBAgMDwBWQewzev4Y4C3hq62FgNFrvGGq5cAgQIECBAgAABAgQIECDQiIDMo5FGD7hMAe+AQQ2XX8Bil9/YHQgQIECAAAECBAgQIECAAIHhC8g8hm9ewx0FvDV0sbEaLHaNNVy5BAgQIECAAAECBAgQIECgEQGZRyONHnCZAt4Bgxouv4DFLr+xOxAgQIAAAQIECBAgQIAAAQLDF5B5DN+8hjsKeGvoYmM1WOwaa7hyCRAgQIAAAQIECBAgQIBAIwIyj0YaPeAyBbwDBjVcfgGLXX5jdyBAgAABAgQIECBAgAABAgSGLyDzGL55DXcU8NbQxcZqsNg11nDlEiBAgAABAgQIECBAgACBRgRkHo00esBlCngHDGq4/AIWu/zG7kCAAAECBAgQIECAAAECBAgMX0DmMXzzGu4o4K2hi43VYLFrrOHKJUCAAAECBAgQIECAAAECjQjIPBpp9IDLFPAOGNRw+QUsdvmN3YEAAQIECBAgQIAAAQIECBAYvoDMY/jmNdxRwFtDFxurwWLXWMOVS4AAAQIECBAgQIAAAQIEGhGQeTTS6AGXKeAdMKjh8gtY7PIbuwMBAgQIECBAgAABAgQIECAwfAGZx/DNa7ijgLeGLjZWg8WusYYrlwABAgQIECBAgAABAgQINCIg82ik0QMuU8A7YFDD5Rew2OU3dgcCBAgQIECAAAECBAgQIEBg+AIyj+Gb13BHAW8NXWysBotdYw1XLgECBAgQIECAAAECBAgQaERA5tFIowdcpoB3wKCGyy9gsctv7A4ECBAgQIAAAQIECBAgQIDA8AVkHsM3r+GOAt4authYDRa7xhquXAIECBAgQIAAAQIECBAg0IiAzKORRg+4TAHvgEENl1/AYpff2B0IECBAgAABAgQIECBAgACB4QvIPIZvXsMdBbw1dLGxGix2jTVcuQQIECBAgAABAgQIECBAoBEBmUcjjR5wmQLeAYMaLr+AxS6/sTsQIECAAAECBAgQIECAAAECwxeQeQzfvIY7Cnhr6GJjNVjsGmu4cgkQIECAAAECBAgQIECAQCMCMo9GGj3gMgW8AwY1XH4Bi11+Y3cgQIAAAQIECBAgQIAAAQIEhi8g8xi+eQ13FPDW0MXGarDYNdZw5RIgQIAAAQIECBAgQIAAgUYEZB6NNHrAZQp4BwxquPwCFrv8xu5AgAABAgQIECBAgAABAgQIDF9A5jF88xruKOCtoYuN1WCxa6zhyiVAgAABAgQIECBAgAABAo0IyDwaafSAyxTwDhjUcPkFLHb5jd2BAAECBAgQIECAAAECBAgQGL6AzGP45jXcUcBbQxcbq8Fi11jDlUuAAAECBAgQIECAAAECBBoRkHk00ugBlyngHTCo4fILWOzyG7sDAQIECBAgQIAAAQIECBAgMHwBmcfwzWu4o4C3hi42VoPFrrGGK5cAAQIECBAgQIAAAQIECDQiIPNopNEDLlPAO2BQw+UXsNjlN3YHAgQIECBAgAABAgQIECBAYPgCMo/hm9dwRwFvDV1srAaLXWMNVy4BAgQIECBAgAABAgQIEGhEQObRSKMHXKaAd8CghssvYLHLb+wOBAgQIECAAAECBAgQIECAwPAFZB7DN6/hjgLeGrrYWA0Wu8YarlwCBAgQIECAAAECBAgQINCIgMyjkUYPuEwB74BBWxjuu9/9bvrCF76QzjrrrHTeeeelq666Ki1evDgdcMAB6b73vW86+eST01FHHZWNwmKXjdbABAgQIECAAAECBAgQIECAQI8CMo8e8Qu+tYC34Ob1MfVjjjkmff3rX5/x1ieddFJ6z3vek5YsWTLjZ+f6AYvdXMV8ngABAgQIECBAgAABAgQIEChBQOZRQpdGb44C3tHryUjP6Da3uU264IILut26J5xwQjr66KPTwQcfnLZs2ZK+9a1vpVNPPTVddtllXQ0nnnhiOv300wdej8Vu4KQGJECAAAECBAgQIECAAAECBEZAQOYxAk0ocAoC3gKb1ueUH/7wh6fYnXv88cenhQsX/tZUrr766u6Yhp///Ofd35155pkpdv0O8rLYDVLTWAQIECBAgAABAgQIECBAgMCoCMg8RqUTZc1DwFtWv4qY7ec+97l03HHHdXN99rOfnd761rcOdN4Wu4FyGowAAQIECBAgQIAAAQIECBAYEQGZx4g0orBpCHgLa1gJ073pppvSihUruqk+9KEPTZ///OcHOm2L3UA5DUaAAAECBAgQIECAAAECBAiMiIDMY0QaUdg0BLyFNayE6V577bVp1apV3VRjJ+9nP/vZgU7bYjdQToMRIECAAAECBAgQIECAAAECIyIg8xiRRhQ2DQFvYQ0rYbqf+tSn0qMf/ehuqi9+8YvT61//+oFO22I3UE6DESBAgAABAgQIECBAgAABAiMiIPMYkUYUNg0Bb2ENG/XpTkxMpHvf+97p7LPP7qb63e9+N9397nef07RjMdvVdfnll6cjjzyy+8gll1ySDjrooDmN78MECBAgQIAAAQIECBAgQIAAgVEUEPCOYldGf04C3tHvUVEzPPXUU9MLX/jCbs6xi/cTn/jEnOe/YMGCWX9HwDtrKh8kQIAAAQIECBAgQIAAAQIERlxAwDviDRrR6Ql4R7QxJU7rzDPPTMcee2zavHlzuvnNb57OPffc7v/O9RLwzlXM5wkQIECAAAECBAgQIECAAIEaBAS8NXRx+DUIeIdvXuUdf/zjH6ejjz46XXfddWl8fDx96UtfSsccc8y8anVEw7zYfIkAAQIECBAgQIAAAQIECBAoXEDAW3gDe5q+gLcn+Jpue+GFF6ajjjoq/frXv04LFy7sjmV45CMfma1Ei102WgMTIECAAAECBAgQIECAAAECPQrIPHrEL/jWAt6CmzcKU49QN3bu/vKXv0xxtMJpp52WTjrppKxTs9hl5TU4AQIECBAgQIAAAQIECBAg0JOAzKMn+MJvK+AtvIF9Tv/qq69O97vf/dJ5553XTePtb397euYzn5l9Sha77MRuQIAAAQIECBAgQIAAAQIECPQgIPPoAb2CWwp4K2hiHyXccMMN6YEPfGD63ve+193+7/7u79JLXvKSoUzFYjcUZjchQIAAAQIECBAgQIAAAQIEhiwg8xgyeCW3E/BW0shhlrF27dr04Ac/OH3jG9/obvvyl788vfa1rx3aFCx2Q6N2IwIECBAgQIAAAQIECBAgQGCIAjKPIWJXdCsBb0XNHEYpGzduTMcdd1w644wzuts997nPTW9+85uHceupe1jshsrtZgQIECBAgAABAgQIECBAgMCQBGQeQ4Ku7DYC3soamruc448/Pn3yk5/sbhNHNES4Gy9X29m1ZMmSdNvb3nag07LYDZTTYAQIECBAgAABAgQIECBAgMCICMg8RqQRhU1DwFtYw/qe7q7C3B3N7ZBDDkkXXXTRQKdtsRsop8EIECBAgAABAgQIECBAgACBERGQeYxIIwqbhoC3sIb1PV0Bb98dcH8CBAgQIECAAAECBAgQIECgVgEBb62dzVuXgDevr9EzCFjsMqAakgABAgQIECBAgAABAgQIEOhdQObRewuKnICAt8i2tT1pi13b/Vc9AQIECBAgQIAAAQIECBCoVUDmUWtn89Yl4M3ra/QMAha7DKiGJECAAAECBAgQIECAAAECBHoXkHn03oIiJyDgLbJtbU/aYtd2/1VPgAABAgQIECBAgAABAgRqFZB51NrZvHUJePP6Gj2DgMUuA6ohCRAgQIAAAQIECBAgQIAAgd4FZB69t6DICQh4i2xb25O22LXdf9UTIECAAAECBAgQIECAAIFaBWQetXY2b10C3ry+Rs8gYLHLgGpIAgQIECBAgAABAgQIECBAoHcBmUfvLShyAgLeItvW9qQtdm33X/UECBAgQIAAAQIECBAgQKBWAZlHrZ3NW5eAN6+v0TMIWOwyoBqSAAECBAgQIECAAAECBAgQ6F1A5tF7C4qcgIC3yLa1PWmLXdv9Vz0BAgQIECBAgAABAgQIEKhVQOZRa2fz1iXgzetr9AwCFrsMqIYkQIAAAQIECBAgQIAAAQIEeheQefTegiInIOAtsm1tT9pi13b/VU+AAAECBAgQIECAAAECBGoVkHnU2tm8dQl48/oaPYOAxS4DqiEJECBAgAABAgQIECBAgACB3gVkHr23oMgJCHiLbFvbk7bYtd1/1RMgQIAAAQIECBAgQIAAgVoFZB61djZvXQLevL5GzyBgscuAakgCBAgQIECAAAECBAgQIECgdwGZR+8tKHICAt4i29b2pC12bfdf9QQIECBAgAABAgQIECBAoFYBmUetnc1bl4A3r6/RMwhY7DKgGpIAAQIECBAgQIAAAQIECBDoXUDm0XsLipyAgLfItrU9aYtd2/1XPQECBAgQIECAAAECBAgQqFVA5lFrZ/PWJeDN62v0DAIWuwyohiRAgAABAgQIECBAgAABAgR6F5B59N6CIicg4C2ybW1P2mLXdv9VT4AAAQIECBAgQIAAAQIEahWQedTa2bx1CXjz+ho9g4DFLgOqIQkQIECAAAECBAgQIECAAIHeBWQevbegyAkIeItsW9uTtti13X/VEyBAgAABAgQIECBAgACBWgVkHrV2Nm9dAt68vkbPIGCxy4BqSAIECBAgQIAAAQIECBAgQKB3AZlH7y0ocgIC3iLb1vakLXZt91/1BAgQIECAAAECBAgQIECgVgGZR62dzVuXgDevr9EzCFjsMqAakgABAgQIECBAgAABAgQIEOhdQObRewuKnICAt8i2tT1pi13b/Vc9AQIECBAgQIAAAQIECBCoVUDmUWtn89Yl4M3ra/QMAha7DKiGJECAAAECBAgQIECAAAECBHoXkHn03oIiJyDgLbJtbU/aYtd2/1VPgAABAgQIECBAgAABAgRqFZB51NrZvHUJePP6Gj2DgMUuA6ohCRAgQIAAAQIECBAgQIAAgd4FZB69t6DICQh4i2xb25O22LXdf9UTIECAAAECBAgQIECAAIFaBWQetXY2b10C3ry+Rs8gYLHLgGpIAgQIECBAgAABAgQIECBAoHcBmUfvLShyAgLeItvW9qQtdm33X/UECBAgQIAAAQIECBAgQKBWAZlHrZ3NW5eAN6+v0TMIWOwyoBqSAAECBAgQIECAAAECBAgQ6F1A5tF7C4qcgIC3yLa1PWmLXdv9Vz0BAgQIECBAgAABAgQIEKhVQOZRa2fz1iXgzetr9AwCFrsMqIYkQIAAAQIECBAgQIAAAQIEeheQefTegiInIOAtsm1tT9pi13b/VU+AAAECBAgQIECAAAECBGoVkHnU2tm8dQl48/oaPYOAxS4DqiEJECBAgAABAgQIECBAgACB3gVkHr23oMgJCHiLbFvbk7bYtd1/1RMgQIAAAQIECBAgQIAAgVoFZB61djZvXQLevL5GzyBgscuAakgCBAgQIECAAAECBAgQIECgdwGZR+8tKHICAt4i29b2pC12bfdf9QQIECBAgAABAgQIECBAoFYBmUetnc1bl4A3r6/RMwhY7DKgGpIAAQIECBAgQIAAAQIECBDoXUDm0XsLipyAgLfItrU9aYtd2/1XPQECBAgQIECAAAECBAgQqFVA5lFrZ/PWJeDN62v0DAIWuwyohiRAgAABAgQIECBAgAABAgR6F5B59N6C+iKlSwAAIABJREFUIicg4C2ybW1P2mLXdv9VT4AAAQIECBAgQIAAAQIEahWQedTa2bx1CXjz+ho9g4DFLgOqIQkQIECAAAECBAgQIECAAIHeBWQevbegyAkIeItsW9uTtti13X/VEyBAgAABAgQIECBAgACBWgVkHrV2Nm9dAt68vkbPIGCxy4BqSAIECBAgQIAAAQIECBAgQKB3AZlH7y0ocgIC3iLb1vakLXZt91/1BAgQIECAAAECBAgQIECgVgGZR62dzVuXgDevr9EzCFjsMqAakgABAgQIECBAgAABAgQIEOhdQObRewuKnICAt8i2tT1pi13b/Vc9AQIECBAgQIAAAQIECBCoVUDmUWtn89Yl4M3ra/QMAha7DKiGJECAAAECBAgQIECAAAECBHoXkHn03oIiJyDgLbJtbU/aYtd2/1VPgAABAgQIECBAgAABAgRqFZB51NrZvHUJePP6Gj2DgMUuA6ohCRAgQIAAAQIECBAgQIAAgd4FZB69t6DICQh4i2xb25O22LXdf9UTIECAAAECBAgQIECAAIFaBWQetXY2b10C3ry+Rs8gYLHLgGpIAgQIECBAgAABAgQIECBAoHcBmUfvLShyAgLeItvW9qQtdm33X/UECBAgQIAAAQIECBAgQKBWAZlHrZ3NW5eAN6+v0TMIWOwyoBqSAAECBAgQIECAAAECBAgQ6F1A5tF7C4qcgIC3yLa1PWmLXdv9Vz0BAgQIECBAgAABAgQIEKhVQOZRa2fz1iXgzetr9AwCFrsMqIYkQIAAAQIECBAgQIAAAQIEeheQefTegiInIOAtsm1tT9pi13b/VU+AAAECBAgQIECAAAECBGoVkHnU2tm8dQl48/oaPYOAxS4DqiEJECBAgAABAgQIECBAgACB3gVkHr23oMgJCHiLbFvbk7bYtd1/1RMgQIAAAQIECBAgQIAAgVoFZB61djZvXQLevL5GzyBgscuAakgCBAgQIECAAAECBAgQIECgdwGZR+8tKHICAt4i29b2pC12bfdf9QQIECBAgAABAgQIECBAoFYBmUetnc1bl4A3r6/RMwhY7DKgGpIAAQIECBAgQIAAAQIECBDoXUDm0XsLipyAgLfItrU9aYtd2/1XPQECBAgQIECAAAECBAgQqFVA5lFrZ/PWJeDN62v0DAIWuwyohiRAgAABAgQIECBAgAABAgR6F5B59N6CIicg4C2ybW1P2mLXdv9VT4AAAQIECBAgQIAAAQIEahWQedTa2bx1CXjz+ho9g4DFLgOqIQkQIECAAAECBAgQIECAAIHeBWQevbegyAkIeItsW9uTtti13X/VEyBAgAABAgQIECBAgACBWgVkHrV2Nm9dAt68vkbPIGCxy4BqSAIECBAgQIAAAQIECBAgQKB3AZlH7y0ocgIC3iLb1vakLXZt91/1BAgQIECAAAECBAgQIECgVgGZR62dzVuXgDevr9EzCFjsMqAakgABAgQIECBAgAABAgQIEOhdQObRewuKnICAt8i2tT1pi13b/Vc9AQIECBAgQIAAAQIECBCoVUDmUWtn89Yl4M3ra/QMAha7DKiGJECAAAECBAgQIECAAAECBHoXkHn03oIiJyDgLbJtbU/aYtd2/1VPgAABAgQIECBAgAABAgRqFZB51NrZvHUJePP6Gj2DgMUuA6ohCRAgQIAAAQIECBAgQIAAgd4FZB69t6DICQh4i2xb25O22LXdf9UTIECAAAECBAgQIECAAIFaBWQetXY2b10C3ry+Rs8gYLHLgGpIAgQIECBAgAABAgQIECBAoHcBmUfvLShyAgLeItvW9qQtdm33X/UECBAgQIAAAQIECBAgQKBWAZlHrZ3NW5eAN6+v0TMIWOwyoBqSAAECBAgQIECAAAECBAgQ6F1A5tF7C4qcgIC3yLa1PWmLXdv9Vz0BAgQIECBAgAABAgQIEKhVQOZRa2fz1iXgzetr9AwCFrsMqIYkQIAAAQIECBAgQIAAAQIEeheQefTegiInIOAtsm1tT9pi13b/VU+AAAECBAgQIECAAAECBGoVkHnU2tm8dQl48/oaPYOAxS4DqiEJECBAgAABAgQIECBAgACB3gVkHr23oMgJCHiLbFvbk7bYtd1/1RMgQIAAAQIECBAgQIAAgVoFZB61djZvXQLevL5GzyBgscuAakgCBAgQIECAAAECBAgQIECgdwGZR+8tKHICAt4i29b2pC12bfdf9QQIECBAgAABAgQIECBAoFYBmUetnc1bl4A3r6/RMwhY7DKgGpIAAQIECBAgQIAAAQIECBDoXUDm0XsLipyAgLfItrU9aYtd2/1XPQECBAgQIECAAAECBAgQqFVA5lFrZ/PWJeDN62v0DAIWuwyohiRAgAABAgQIECBAgAABAgR6F5B59N6CIicg4C2ybW1P2mLXdv9VT4AAAQIECBAgQIAAAQIEahWQedTa2bx1CXjz+ho9g4DFLgOqIQkQIECAAAECBAgQIECAAIHeBWQevbegyAkIeItsW9uTtti13X/VEyBAgAABAgQIECBAgACBWgVkHrV2Nm9dAt68vkbPIGCxy4BqSAIECBAgQIAAAQIECBAgQKB3AZlH7y0ocgIC3iLb1vakLXZt91/1BAgQIECAAAECBAgQIECgVgGZR62dzVuXgDevr9EzCFjsMqAakgABAgQIECBAgAABAgQIEOhdQObRewuKnICAt8i2tT1pi13b/Vc9AQIECBAgQIAAAQIECBCoVUDmUWtn89Yl4M3ra/QMAha7DKiGJECAAAECBAgQIECAAAECBHoXkHn03oIiJyDgLbJtbU/aYtd2/1VPgAABAgQIECBAgAABAgRqFZB51NrZvHUJePP6Gj2DgMUuA6ohCRAgQIAAAQIECBAgQIAAgd4FZB69t6DICQh4i2xb25O22LXdf9UTIECAAAECBAgQIECAAIFaBWQetXY2b10C3ry+Rs8gYLHLgGpIAgQIECBAgAABAgQIECBAoHcBmUfvLShyAgLeItvW9qQtdm33X/UECBAgQIAAAQIECBAgQKBWAZlHrZ3NW5eAN6+v0TMIWOwyoBqSAAECBAgQIECAAAECBAgQ6F1A5tF7C4qcgIC3yLa1PWmLXdv9Vz0BAgQIECBAgAABAgQIEKhVQOZRa2fz1iXgzetr9AwCFrsMqIYkQIAAAQIECBAgQIAAAQIEeheQefTegiInIOAtsm1tT9pi13b/VU+AAAECBAgQIECAAAECBGoVkHnU2tm8dQl48/oaPYOAxS4DqiEJECBAgAABAgQIECBAgACB3gVkHr23oMgJCHiLbFvbk7bYtd1/1RMgQIAAAQIECBAgQIAAgVoFZB61djZvXQLevL5GzyBgscuAakgCBAgQIECAAAECBAgQIECgdwGZR+8tKHICAt4i29b2pC12bfdf9QQIECBAgAABAgQIECBAoFYBmUetnc1bl4A3r6/RMwhY7DKgGpIAAQIECBAgQIAAAQIECBDoXUDm0XsLipyAgLfItrU9aYtd2/1XPQECBAgQIECAAAECBAgQqFVA5lFrZ/PWJeDN62v0DAIWuwyohiRAgAABAgQIECBAgAABAgR6F5B59N6CIicg4C2ybW1P2mLXdv9VT4AAAQIECBAgQIAAAQIEahWQedTa2bx1CXjz+ho9g4DFLgOqIQkQIECAAAECBAgQIECAAIHeBWQevbegyAkIeItsW9uTtti13X/VEyBAgAABAgQIECBAgACBWgVkHrV2Nm9dAt68vkbPIGCxy4BqSAIECBAgQIAAAQIECBAgQKB3AZlH7y0ocgIC3iLb1vakLXZt91/1BAgQIECAAAECBAgQIECgVgGZR62dzVuXgDevr9EzCFjsMqAakgABAgQIECBAgAABAgQIEOhdQObRewuKnICAt8i2tT1pi13b/Vc9AQIECBAgQIAAAQIECBCoVUDmUWtn89Yl4M3ra/QMAha7DKiGJECAAAECBAgQIECAAAECBHoXkHn03oIiJyDgLbJtbU/aYtd2/1VPgAABAgQIECBAgAABAgRqFZB51NrZvHUJePP6Gj2DgMUuA6ohCRAgQIAAAQIECBAgQIAAgd4FZB69t6DICQh4i2xb25O22LXdf9UTIECAAAECBAgQIECAAIFaBWQetXY2b10C3ry+Rs8gYLHLgGpIAgQIECBAgAABAgQIECBAoHcBmUfvLShyAgLeItvW9qQtdm33X/UECBAgQIAAAQIECBAgQKBWAZlHrZ3NW5eAN6+v0TMIWOwyoBqSAAECBAgQIECAAAECBAgQ6F1A5tF7C4qcgIC3yLa1PWmLXdv9Vz0BAgQIECBAgAABAgQIEKhVQOZRa2fz1iXgzetr9AwCFrsMqIYkQIAAAQIECBAgQIAAAQIEeheQefTegiInIOAtsm1tT9pi13b/VU+AAAECBAgQIECAAAECBGoVkHnU2tm8dQl48/oaPYOAxS4DqiEJECBAgAABAgQIECBAgACB3gVkHr23oMgJCHiLbFvbk7bYtd1/1RMgQIAAAQIECBAgQIAAgVoFZB61djZvXQLevL5GzyBgscuAakgCBAgQIECAAAECBAgQIECgdwGZR+8tKHICAt4i29b2pC12bfdf9QQIECBAgAABAgQIECBAoFYBmUetnc1bl4A3r6/RMwhY7DKgGpIAAQIECBAgQIAAAQIECBDoXUDm0XsLipyAgLfItrU9aYtd2/1XPQECBAgQIECAAAECBAgQqFVA5lFrZ/PWJeDN62v0DAIWuwyohiRAgAABAgQIECBAgAABAgR6F5B59N6CIicg4C2ybW1P2mLXdv9VT4AAAQIECBAgQIAAAQIEahWQedTa2bx1CXjz+ho9g4DFLgOqIQkQIECAAAECBAgQIECAAIHeBWQevbegyAkIeItsW9uTtti13X/VEyBAgAABAgQIECBAgACBWgVkHrV2Nm9dAt68vkbPIGCxy4BqSAIECBAgQIAAAQIECBAgQKB3AZlH7y0ocgIC3iLb1vakLXZt91/1BAgQIECAAAECBAgQIECgVgGZR62dzVuXgDevr9EzCFjsMqAakgABAgQIECBAgAABAgQIEOhdQObRewuKnICAt8i2tT1pi13b/Vc9AQIECBAgQIAAAQIECBCoVUDmUWtn89Yl4M3ra/QMAha7DKiGJECAAAECBAgQIECAAAECBHoXkHn03oIiJyDgLbJtbU/aYtd2/1VPgAABAgQIECBAgAABAgRqFZB51NrZvHUJePP6Gj2DgMUuA6ohCRAgQIAAAQIECBAgQIAAgd4FZB69t6DICQh4i2xb25O22LXdf9UTIECAAAECBAgQIECAAIFaBWQetXY2b10C3ry+Rs8gYLHLgGpIAgQIECBAgAABAgQIECBAoHcBmUfvLShyAgLeItvW9qQtdm33X/UECBAgQIAAAQIECBAgQKBWAZlHrZ3NW5eAN6+v0TMIWOwyoBqSAAECBAgQIECAAAECBAgQ6F1A5tF7C4qcgIC3yLa1PWmLXdv9Vz0BAgQIECBAgAABAgQIEKhVQOZRa2fz1iXgzetr9AwCFrsMqIYkQIAAAQIECBAgQIAAAQIEeheQefTegiInIOAtsm1tT9pi13b/VU+AAAECBAgQIECAAAECBGoVkHnU2tm8dQl48/oaPYOAxS4DqiEJECBAgAABAgQIECBAgACB3gVkHr23oMgJCHiLbFvbk7bYtd1/1RMgQIAAAQIECBAgQIAAgVoFZB61djZvXQLevL5GzyBgscuAakgCBAgQIECAAAECBAgQIECgdwGZR+8tKHICAt4i29b2pC12bfdf9QQIECBAgAABAgQIECBAoFYBmUetnc1bl4A3r6/RMwhY7DKgGpIAAQIECBAgQIAAAQIECBDoXUDm0XsLipyAgLfItrU9aYtd2/1XPQECBAgQIECAAAECBAgQqFVA5lFrZ/PWJeDN62v0DAIWuwyohiRAgAABAgQIECBAgAABAgR6F5B59N6CIicg4C2ybW1P2mLXdv9VT4AAAQIECBAgQIAAAQIEahWQedTa2bx1CXjz+lY5+pVXXpnOPvvs7n/nnHNO979rrrmmq/UJT3hCOu2007LWbbHLymtwAgQIECBAgAABAgQIECBAoCcBmUdP8IXfVsBbeAP7mP6CBQt2elsBbx8dcU8CBAgQIECAAAECBAgQIECgBgEBbw1dHH4NAt7hmxd/x+kB78EHH5xud7vbpTPOOKOrS8BbfHsVQIAAAQIECBAgQIAAAQIECPQkIODtCb7w2wp4C29gH9N/1atelY444ojuf/vtt1+66KKL0qGHHirg7aMZ7kmAAAECBAgQIECAAAECBAhUIyDgraaVQy1EwDtU7jpvJuCts6+qIkCAAAECBAgQIECAAAECBIYrIOAdrnctdxPw1tLJHusQ8PaI79YECBAgQIAAAQIECBAgQIBANQIC3mpaOdRCBLxD5a7zZgLeOvuqKgIECBAgQIAAAQIECBAgQGC4AgLe4XrXcjcBby2d7LEOAW+P+G5NgAABAgQIECBAgAABAgQIVCMg4K2mlUMtRMA7VO46bzbogDcWs11dl19+eTryyCO7j1xyySXpoIMOqhNWVQQIECBAgAABAgQIECBAgEBTAgLepto9sGIFvAOjbHegQQe8CxYsmDWmgHfWVD5IgAABAgQIECBAgAABAgQIjLiAgHfEGzSi0xPwjmhjSpqWgLekbpkrAQIECBAgQIAAAQIECBAgMKoCAt5R7cxoz0vAO9r9KWJ2gw54HdFQRNtNkgABAgQIECBAgAABAgQIEBiwgIB3wKCNDCfgbaTROcscdMA701wtdjMJ+XsCBAgQIECAAAECBAgQIECgRAGZR4ld63/OAt7+e1D8DAS8xbdQAQQIECBAgAABAgQIECBAgMAICAh4R6AJBU5BwFtg00ZtygLeUeuI+RAgQIAAAQIECBAgQIAAAQIlCgh4S+xa/3MW8Pbfg+JnIOAtvoUKIECAAAECBAgQIECAAAECBEZAQMA7Ak0ocAoC3gKbNmpTFvCOWkfMhwABAgQIECBAgAABAgQIEJhJYMvE1rRpy0Sa2Lo1jS1YkBYvHEsLxxbM9LWsfy/gzcpb7eAC3mpbO7zCBLzDs3YnAgQIECBAgAABAgQIECBAYPcE1mzYnK5dszGtXr8pbd36f2MtWJDSXuOL0z4rlqQVSxft3k3m+W0B7zzhGv+agLfxB2A+5Z911lnpF7/4xdRXr7766vSiF72o+/N973vf9JSnPGWbYZ/4xCfO5zY7/Y7FbqCcBiNAgAABAgQIECBAgAABAk0IrNu4JV163dq0ftNE2rB5Sxfwbtg8kSYmtqaxsQVp6aKxLuBdumhhGl88lg5auTwtW7JwqDYyj6FyV3MzAW81rRxeIRHYfvCDH5z1DbdO/3HYrL+18w9a7AaAaAgCBAgQIECAAAECBAgQINCQwI3rN6VfXbM2rdu0OV2zZmNat3GiO45h+ZKF3fEMcUzD2o1bUhzbsGzJWFq1YklatnhROmTV8rTn+OKhSck8hkZd1Y0EvFW1czjFCHiH4+wuBAgQIECAAAECBAgQIECAwO4LxM7dC65ak+Joht/csD4tWTiWVi5fkvZYujAtiHMZ/veKDWo3bdiSrlu7MW3cMpH2v9l4d1TDYfuuGNpOXgHv7ve7xREEvC12vfCaLXaFN9D0CRAgQIAAAQIECBAgQIDAEAXOv+LGdP26jemy69Z3O3b322u827W7syt2816xen23o/fAleNp72VL0uH77TmUGcs8hsJc3U0EvNW1tP6CLHb191iFBAgQIECAAAECBAgQIEBgEAKxa/fCq25Kl12/Nk1MpHTgymW7DHcn7xkh72XXrUtjYykduPfydOi+ewzlxWsyj0F0vb0xBLzt9bz4ii12xbdQAQQIECBAgAABAgQIECBAYCgCF1+zNl154/p0ybXr0v57jacV44tmfd84t/eK1RvSLfdZlm6+53g6eNXyWX93vh+UecxXru3vCXjb7n+R1VvsimybSRMgQIAAAQIECBAgQIAAgaEKxAvTfnL56i7gXbN+S7rVquXbnLk702TiTN6LrrmpC4Uj4L39LfbqXsyW85J55NStd2wBb729rbYyi121rVUYAQIECBAgQIAAAQIECBAYmMD6TVvS+VesSZdevzYtHhvrzt6d6xVn8W6amEgH7b08Hb7fijS+eOFch5jT52Uec+Ly4f8VEPB6FIoTsNgV1zITJkCAAAECBAgQIECAAAECQxdYu3FzuuDKm9LF196Uli1elPbdc+mc5xC7fyMoPnifPdJhN98jLV8y+yMe5nyzlJLMYz5qviPg9QwUJ2CxK65lJkyAAAECBAgQIECAAAECBIYuYAfv0MndsCcBAW9P8G47fwEB7/ztfJMAAQIECBAgQIAAAQIECLQi4AzeVjqtTgGvZ6A4AQFvcS0zYQIECBAgQIAAAQIECBAg0IvAxdes7V6ydsm169L+e413L0yb7XXj+k3pitUb0i33Wda9ZO3gVctn+9V5f07mMW+6pr8o4G26/WUWb7Ers29mTYAAAQIECBAgQIAAAQIEhi2wZsPmdOFVN6XLrl+bJiZSOnDlsjS2YMGM05jYujVddt26NDaW0oF7L0+H7rtHWrF09uHwjDfYyQdkHvOVa/t7At62+19k9Ra7Ittm0gQIECBAgAABAgQIECBAoBeB86+4MV2/bmO67Lr1afmShWm/vcZ3GfJGuHvF6vVp7cYt6cCV42nvZUvS4fvtOZS5yzyGwlzdTQS81bW0/oIsdvX3WIUECBAgQIAAAQIECBAgQGBQAus2bkkXXLUmxW7e39ywPi1ZOJZWLl+S9li6MC2Ytpt369at3WeuX7spbdwykfa/2Xi3a/ewfVekZUsWDmo6uxxH5jEU5upuIuCtrqX1F2Sxq7/HKiRAgAABAgQIECBAgAABAoMUiPN0f3XN2rRu0+Z0zZqNad3GibRwbEG3ozcy3q1bU1q7cXPaMpHSsiVjadWKJWnZ4kXpkFXL057jiwc5FQHv0DTbuZGAt51eV1OpgLeaViqEAAECBAgQIECAAAECBAgMTSB28l563dq0ftNE2rB5S1q9flPasHkiTUxsTWNjC9LSRWNpr/HFaemihWl88Vg6aOXyoe3cnUSQeQztcajqRgLeqtrZRjEWuzb6rEoCBAgQIECAAAECBAgQIJBDII5huHbNxi7gjZ27k1fs5I2Ad58VS4byQrUd1SbzyNHx+scU8Nbf4+oqtNhV11IFESBAgAABAgQIECBAgACBoQtsmdiaNm2ZSPFStbEFC9LihWPdsQ19XjKPPvXLvbeAt9zeNTtzi12zrVc4AQIECBAgQIAAAQIECBCoWkDmUXV7sxUn4M1Ga+BcAha7XLLGJUCAAAECBAgQIECAAAECBPoUkHn0qV/uvQW85fau2Zlb7JptvcIJECBAgAABAgQIECBAgEDVAjKPqtubrTgBbzZaA+cSsNjlkjUuAQIECBAgQIAAAQIECBAg0KeAzKNP/XLvLeAtt3fNztxi12zrFU6AAAECBAgQIECAAAECBKoWkHlU3d5sxQl4s9EaOJeAxS6XrHEJECBAgAABAgQIECBAgACBPgVkHn3ql3tvAW+5vWt25ha7ZluvcAIECBAgQIAAAQIECBAgULWAzKPq9mYrTsCbjdbAuQQsdrlkjUuAAAECBAgQIECAAAECBAj0KSDz6FO/3HsLeMvtXbMzt9g123qFEyBAgAABAgQIECBAgACBqgVkHlW3N1txAt5stAbOJWCxyyVrXAIECBAgQIAAAQIECBAgQKBPAZlHn/rl3lvAW27vmp25xa7Z1iucAAECBAgQIECAAAECBAhULSDzqLq92YoT8GajNXAuAYtdLlnjEiBAgAABAgQIECBA4P8EtkxsTZu2TKSJrVvT2IIFafHCsbRwbAEiAgQyCsg8MuJWPLSAt+Lm1lqaxa7WzqqLAAECBAgQIECAAIFREFizYXO6ds3GtHr9prR16//NaMGClPYaX5z2WbEkrVi6aBSmag4EqhOQeVTX0qEUJOAdCrObDFLAYjdITWMRIECAAAECBAgQIEDg/wus27glXXrd2rR+00TasHlLF/Bu2DyRJia2prGxBWnporEu4F26aGEaXzyWDlq5PC1bshAfAQIDFJB5DBCzoaEEvA01u5ZSLXa1dFIdBAgQIECAAAECBAiMisCN6zelX12zNq3btDlds2ZjWrdxojuOYfmShd3xDHFMw9qNW1Ic27BsyVhatWJJWrZ4UTpk1fK05/jiUSnDPAgULyDzKL6FvRQg4O2F3U13R8Bitzt6vkuAAAECBAgQIECAAIFtBWLn7gVXrUlxNMNvblifliwcSyuXL0l7LF2YFsS5DP97bd26Nd20YUu6bu3GtHHLRNr/ZuPdUQ2H7bvCTl4PFYEBCcg8BgTZ2DAC3sYaXkO5FrsauqgGAgQIECBAgAABAgRGReD8K25M16/bmC67bn23Y3e/vca7Xbs7u2I37xWr13c7eg9cOZ72XrYkHb7fnqNSjnkQKFpA5lF0+3qbvIC3N3o3nq+AxW6+cr5HgAABAgQIECBAgACBbQVi1+6FV92ULrt+bZqYSOnAlct2Ge5OfjtC3suuW5fGxlI6cO/l6dB99/DiNQ8XgQEIyDwGgNjgEALeBpteeskWu9I7aP4ECBAgQIAAAQIECIyKwMXXrE1X3rg+XXLturT/XuNpxfiiWU8tzu29YvWGdMt9lqWb7zmeDl61fNbf9UECBHYsIPPwZMxHQMA7HzXf6VXAYtcrv5sTIECAAAECBAgQIFCJQLww7SeXr+4C3jXrt6RbrVq+zZm7M5UZZ/JedM1NXSgcAe/tb7FX92I2FwEC8xeQeczfruVvCnhb7n6htVvsCm2caRMgQIAAAQIECBAgMFIC6zdtSedfsSbr1ytdAAAgAElEQVRdev3atHhsrDt7d65XnMW7aWIiHbT38nT4fivS+OKFcx3C5wkQmCYg8/A4zEdAwDsfNd/pVcBi1yu/mxMgQIAAAQIECBAgUInA2o2b0wVX3pQuvvamtGzxorTvnkvnXFns/o2g+OB99kiH3XyPtHzJ7I94mPPNfIFAAwIyjwaanKFEAW8GVEPmFbDY5fU1OgECBAgQIECAAAECbQjYwdtGn1VZloDMo6x+jcpsBbyj0gnzmLWAxW7WVD5IgAABAgQIECBAgACBnQo4g9fDQWD0BGQeo9eTEmYk4C2hS+a4jYDFzgNBgAABAgQIECBAgACBwQhcfM3a7iVrl1y7Lu2/13j3wrTZXjeu35SuWL0h3XKfZd1L1g5etXy2X/U5AgR2IiDz8GjMR0DAOx813+lVwGLXK7+bEyBAgAABAgQIECBQkcCaDZvThVfdlC67fm2amEjpwJXL0tiCBTNWOLF1a7rsunVpbCylA/deng7dd4+0Yunsw+EZb+ADBBoVkHk02vjdLFvAu5uAvj58AYvd8M3dkQABAgQIECBAgACBegXOv+LGdP26jemy69an5UsWpv32Gt9lyBvh7hWr16e1G7ekA1eOp72XLUmH77dnvUAqIzBEAZnHELErupWAt6JmtlKKxa6VTquTAAECBAgQIECAAIFhCKzbuCVdcNWaFLt5f3PD+rRk4VhauXxJ2mPpwrRg2m7erVu3dp+5fu2mtHHLRNr/ZuPdrt3D9l2Rli1ZOIypugeB6gVkHtW3OEuBAt4srAbNKWCxy6lrbAIECBAgQIAAAQIEWhSI83R/dc3atG7T5nTNmo1p3caJtHBsQbejNzLerVtTWrtxc9oykdKyJWNp1YoladniRemQVcvTnuOLWyRTM4EsAjKPLKzVDyrgrb7F9RVosauvpyoiQIAAAQIECBAgQKB/gdjJe+l1a9P6TRNpw+YtafX6TWnD5ok0MbE1jY0tSEsXjaW9xhenpYsWpvHFY+mglcvt3O2/bUOfwZaJrWnTlokUR3XEec2LF451PwxwDUZA5jEYx9ZGEfC21vEK6rXYVdBEJRAgQIAAAQIE/h977x4sSXqW+T1VmZVVlXU799P37pmelmYGhMRK6xBCuw5YCW/Eighz+UN2AApj1iDMOliE/tggAljCxoEB2cAuIHYdYSQwEdiAg+USBmN7cQiQFhBCQiPNTKun7+d+Tt0rr+V43urqqT6nqk7dr29qe3vmnMz8vu/3fpVCTz35vEpACSiBmSXAGIajkisCL527zYNOXgq8a2lLG6rNQPUmLbTqvphM0VXzmAznRRtFBd5Fq+gSrEcfdktQZF2iElACSkAJKAEloASUgBJQAlMnMGkBceoLnpMJTFpoVWf3ZDeGah6T5b0oo6nAuyiVXKJ16MNuiYqtS1UCSkAJKAEloASUgBJQAkpACSgBITANobVbNjPjGRjTUHED8MsAzWYezUZVzWM0HJftLirwLlvFF2C9+rBbgCLqEpSAElACSkAJKAEloASUgBJ4SkCdsouxGcZZx2kIrRSUb++XQMfwTr4Gy4hi1baQirPx3puZu/V6HWUnwHHFhRuEuJBLSITHzc20ZjQPsLVV8xgAml4CFXh1E8wdAX3YzV3JdMJKQAkoASWgBJSAElACSkAJtCEw6VfttQjjITDuOk5LaH1tt4iTqouHxzXYloHtbEKaqnU66ObdLdTE0Xt5NYGVpIVb25nxQF/gu6rmscDFHePSVOAdI1y99XgI6MNuPFz1rkpACSgBJaAElIASUAJKQAlMhsA0XrWfzMqWa5RJ1XEaQitF6zv7ZTw8qSAMgcurya7ibrPyFHkfHlcRjQKXV2w8t5nShnx9fixU8+gTmJ4uBFTg1Y0wdwT0YTd3JdMJKwEloASUgBJQAkpACSgBJfCEwDRetVf4oycwqTpOS2i9d1jBXrGG+0dVXMgmkE6YPUMkm92Cg6trSWxlEri2bvd8rZ4IqOahu2AQAirwDkJNr5kqAX3YTRW/Dq4ElIASUAJKQAkoASWgBJTAgASm9ar9gNPVyzoQmGQdpyG0Mkv4lccFEXhLtQA31u1nMnfP2xjM5H3jsCyiMAXely5mYUQ7Rzucd79l+71qHstW8dGsVwXe0XDUu0yQgD7sJghbh1ICSkAJKAEloASUgBJQAkpgZASm8ar9yCavN3pKYFJ1nJbQWvMCvLZbwoOTCmLRqGTv9nswi9cLQ1xZsXFrO41EzOj3Fkt7vmoeS1v6oRauAu9Q+PTiaRDQh900qOuYSkAJKAEloASUgBJQAkqgfwIUqLwgBHM52ZwpZkSX1sl33qv2Qb0OPwhRRx0RRGCSVSQi7DTTtP+9N64rzqtjp3EHqeO0hNaK6+P2Xhn3jspIxkxsZuJ946T7l/O/tpbCza0UbKv3iIe+B1uwC1TzWLCCTmg5KvBOCLQOMzoC+rAbHUu9kxJQAkpACSgBJaAElIASGAcBimBHJReFmod6/c0RIhEgm4hhLW0tfOOl0+L243wNhyXnTKZpxfNRqPgou/4ZVinLRNY2EQR1zTQdx0Yd4J6TjEyYltA6LWF5gHIs5CWqeSxkWce+KBV4x45YBxg1AX3YjZqo3k8JKAEloASUgBJQAkpACYyGALNJHxxXUPNCOH4gAq/jhwjDOqLRCOJmVATeuGkgEYviyqqNpLVYr263E7cp9jKTlMJZNAq8uJ2FG4Tga+yuX4cbBCg7PtygDuaXRiIRWEYEqbgJyzDAt9vJlMK4ZpqOZq8OcpdJRyZMS2id9DoHqcUiX6OaxyJXd3xrU4F3fGz1zmMioA+7MYHV2yoBJaAElIASUAJKQAkogSEIFGse7h5WUPV8HJZcVN1Q4hhsy5B4Br6iXnEDUDxKWlGspy15/fv6uo1MIjbEyLNxaTdxm/ELB0VH1p+MGcglY+DP+J98xYfjhSKAU/RusqKgS2E8HosiZ5soOwFWbQu3tjKaaTqlkk9acJ2m0DpJp/KUyjmzw6rmMbOlmemJqcA70+XRybUjoA873RdKQAkoASWgBJSAElACSmC2CFDcvL1fAt2rO/kaLCMqYmQqbogbtXnQnUqh8rjiioP1Qi4hUQ03N9Nz7eQ9T9yuuj7uHFawX3AQt+hkNp7GMXD9mYQpwu9pVlUvQLHmS46xEQWikSjedWMVL1/KaqbpFD4C04hMmJbQOsms4SmUcqaHVM1jpsszs5NTgXdmS6MT60RAH3a6N5SAElACSkAJKAEloASUwGwReG23iJOqi4fHNXHsbmcT4kTtdNDNy3gCOlovryawkrRwazszW4vqcTa9iNuuH+LuIZtWVfA4XxEhNwyBTNLErc004rHODajI6qjsSAYvnbzPb6Txj17aRoK5DXpMlMCkHbxc3DSF1mX+XE90Y50aTDWPadKf37FV4J3f2i3tzPVht7Sl14UrASWgBJSAElACSkAJzCCBaQpQs4CjFxGMr9rfOShjp1DFg+Mqqk/ydm+s20glYriQTXRdihcE+PzDvLh8X9jK4H0vb2MtZc3C8pdqDtOKTOhlj7UWYlRfoPTy5QXHpTOfz4GTirdQzvxpbW7VPKZFfr7HVYF3vuu3lLPXh91Sll0XrQSUgBJQAkpACSgBJTCjBKb1Cvks4OhH3GZ0BWMs7hyUEAR1mGYECdMUoXYzYyHRxsVLxyjHOC672Cs5MCPA9Y2UiLxv3c5I0zVGPOgxOQLT2O/TFFq7xY/QpF+vA4yuCEIsZLb25HbWmyOp5jEN6vM/pgq881/DpVuBPuyWruS6YCWgBJSAElACSkAJKIEZJTAtR+Os4OhH7Cs5Hv7yjWPcOyqj5tdxKRdHqRZIs7lsIob1dPzpshjpcFR2JXuXWcUUh/0wlD90+zIC48ULGSQtUwTe6+upuc4wnpV69jKPfkT91vvRVfvwuIpoFLi8YuO5zVRf4vw0hdZuDQTZHDBuRmUPM1uajQKvrNq6H3vZTB3OUc1jCHhLfKkKvEtc/Hlduj7s5rVyOm8loASUgBJQAkpACSiBRSPQmklqICIiJYUs5u8a0caf8w5m8XphiCsrNm5tp+cmW7ZfcdvxA/yHO8d4cFJB2fGxasfgBnWJXaA4dmklKbzI9KDkwPFDlGo+jioOOFY2YUqDupgZhR0zsZKKIW01/l5PxfHVl3PStE6P8ROYZmTCg+MKal4I7qdCzZN9EoZ1TEJopbh9VHJlXDp3mwedvNzD6igfzd5TzWM0HJftLirwLlvFF2C9+rBbgCLqEpSAElACSkAJKAEloAQWggBfzf78gzy+tFOQpmEr9rO5sHSXZpMmbKtzjMBesSai5rW1FG5upbqeO0vQ+m24VfN9fGWvgld28sKKQnjV82EZhrhyL64kRTQjj6oXYK/gwA9CUCO3zChMIwpEgJobIGWZsOMGvLDOH+HySlLY39xsxDckrc4N2CgW0xncFOJjRrQnIX6W2E97LtOMTODapy206h4a7w5UzWO8fBf17irwLmplF3hd+rBb4OLq0pSAElACSkAJKAEloATmhkBT5Hptt4SH+QpcLxRxlsY+io4UJSnwUkDkP29l4m3dufPq4KW4fXuvLJELyZiJzcybEQvtikjH5f2jqpxfrPnCYjffEHNXbQsXVxIoVn3JM91n3m40gnTcQPDEKcl/L7m+iMBkuZlJiPi7W3BEIL+Qi4sL+C3bWVxft5FJxJ6ZxrRFwbnZ2D1OdJqRCc0pqtDaY7Hm7DTVPOasYDMyXRV4Z6QQOo3eCejDrndWeqYSUAJKQAkoASWgBJSAEhgHgaa4RdHwb++fiOvUC+q4umrLq+L1el1eI6cAxXzOnB0TQfNiLvGMQ5fnvXFYRjphYiuTwEsXs3PjJu3XwRtwrQdlHJUd5Ku+cOE/kxPZUBzPVz0Uqp7ktG6m4+LUpIuXB/NNq34gUQ25JAXhJIxIBEEY4v5xBRUnQDYZk6gGis03N9Pi5NX81HF8Ahr3VLbjY7vMd1bNY5mrP/jaVeAdnJ1eOSUC+rCbEngdVgkoASWgBJSAElACSkAJPBG1bu+XRHxk8y8KkhQvCxUPG5n4UwGX4i3dqXSrMhJgPWXBjpsSJ0BBkweFYjpQr64lReC9tm7PDeN+M3i5MPJipu5u3sFaKoa9oitiOHN140YUZdfHYclFLhkTprTrlt1AHND8Q4cvc05zp5qyMdP3oOyIaEzH9Nuv5rCStCST9+5hRaIgeN+qG4qAbluG5CQzpqHiBiLEJ62oNHyjG7mdA3huCjOFiao7egrQF3hI1TwWuLhjXJoKvGOEq7ceDwF92I2Hq95VCSgBJaAElIASUAJKQAn0QuB0g6lM0sTOiSMuXmqSdI9SPGweFBGPyq7ECPB3jA64tmaLuPjwuCpu1csrNp7bTEmkwzwd9w4rsm5GLzBHl07kbkfF8/HouCbX0HEbiQKXcklkLFPiFw7LrjTPohh+VPaEG4+cbSJf8SX7Ys22sJm1kDDfHIsi8aN8DYlYFH5Qx7W1pEQ48HyKtxSWLSMqURCpuIFIS314LZu3HVdcuEEoojDr0HQAz1M9pj1XjUyYdgUWY3zVPBajjpNehQq8kyau4w1NQB92QyPUGygBJaAElIASUAJKQAkogYEI0Kl4Z7+MhycVaRR2eTUpYq7kyjoe9guuiIxrqbMi737RkWzerWxC8mLp7KV79PJqQtymt7YzA81pmhd14tFtTmSVr7l49XEJCcvAra2MZOoelFwwjzhmMOICKNQ8cd1SQHf9UP6spGLSYO1CNnlmCMY9MCaDIjPFXN4nFo3Cr9fFsbudZWbvm8L76RtQcOf4816Tae4HHVsJjIKAah6joLh891CBd/lqPvcr1ofd3JdQF6AElIASUAJKQAkoASUwpwQ6OVbpOn1wXJUGYRQlGROQSZhIxt50izJG4LDsSLwAc3qZF7sIbtHTjubzhFTGJfztgzxOKh6ot64kY3h+Iy0O2t2ig1g0IiJroeaiUPORNNlorS6xDYy22MrGYRmNiIvW45ju3yDEdiaOsuuJ2Es3L7N66ZjuJu4277MIruo5/WjptJXAUwKqeehmGISACryDUNNrpkpAH3ZTxa+DKwEloASUgBJQAkpACSwpgfMyZ5kfyyiAmu9LnIDjhSLk0tFLITMM67h/XBV3KR2rX3M1h3Q8Nvd5r2y01ZpJ3C0KgY5fCrsUb+nSNYwIEqYhjdb2ig4oggN1iUpoOJ4jWE1ZSCcMxA3jaUZuuy3YdPBSYGa2ccHxEAYQzuupeM+7dp5zkXtepJ6oBGaYgGoeM1ycGZ6aCrwzXBydWnsC+rDTnaEElIASUAJKQAkoASWgBCZPgBm6r+2W8OCkIq/+U0g8fdDJy9f8XZ8iZSCCpRvUpZEYc18rjgfLNCRz9y3baTy/mUbSOutGnfzqhhuRoiibmZUYUyFCbdBwMcdNEXEp5tLdHIR42swsGonCiABGNCq/++LjPPaLLgpVV37GTF5ev2bHETMjWEtZbZ27nHkzg5dRDHRI0w1MtzQF9L//3AqSsVjPC+S93jgsS9QDG9+9dDErjdn0UAJKYDIEVPOYDOdFG0UF3kWr6BKsRx92S1BkXaISUAJKQAkoASWgBJaIwLw0ZqIIeXuvLHm7yZgpDdM6HWwmVqj4oKuX4mbzOKm4EhXw4qUM3nY5B9uar6ZqndZLZ+6j4ype3yvCaRG3GZNABzPjKBixkE3EEDcN+dmVVVvEbV57VHLx6m5Rmqo9OK5ItELFC5C2TFxeSzzTUK3dHCik89pm5MWjfFWEdjZ+e/vVFRmzn4PXemGIKys2bm2nJRpCDyWgBCZDQDWPyXBetFFU4F20ii7BevRhtwRF1iUqASWgBJSAElACSmAJCDSFPTbTahVBGWdAIXAtbSEdnx0BtBcH7+myMTvWD0LUUZe4gcOyC+a8LopwyHgGCrKMWKB7mbXMVylue6j5DRcva8i/47EoXthM49Jqsm1d81UPzPO9f1QRlzSjGygWX8olxP3c6SDP1gZ2q7aJLzwqiAN4O5PA115bhdHl+nb33SvWwHpfW0vh5lZqYYT4JXis6BIXgIBqHgtQxCksQQXeKUDXIYcjoA+74fjp1UpACSgBJaAElIASUALTJdBOFHT8UDJqmVkbN6NtnZ7TnTVwXgbvefNbtFf/m7EMbJrGxnJVN5QoA8Yk0KVMByzP8cMQdszEVjYhwu71dRuZRPvIhGbDts/dz8P1A3h+HRuZeEeBleIunbsUY+mo5n1TliFN3KJRSPbuV1/OnVeaM79XB2/fyPQCJTAyAqp5jAzlUt1IBd6lKvdiLFYfdotRR12FElACSkAJKAEloASWkcB5oiAFu4obiJiatKJPm2p1EwUnyfHeYQV0d94/qsrr/8xp7fVYpOZd/TRWYx4vM3HZOK0ZoXCzQ/Zw8777xRq+8LAgjuCUZeLKalJyeZsHxXLuE7rAvSDEesqCHTfF7btXcMCIBpPu4YSBF7ezXR3Ap+t3nhA/L5Eive5LPU8JzBoB1TxmrSLzMR8VeOejTjrLFgL6sNPtoASUgBJQAkpACSgBJTCPBMYlCk6KBYU9Zuh+Zb+MnUIVkXoEV9dtcaued1C4fnhcFVcpG6w9t5maqfiJ8+Z/+vdNp+3D45o4dtlwrhsHrp+uWIqyl1cTWElauLWdaTts80sAZvI+OqlgJ+9IZu92NilRC4y7qHoNxzfd3jk7Jhm529k4ijVfxmDkrh+w+RpGJsTPW6RIvzXV85XArBBQzWNWKjFf81CBd77qpbMFoA873QZKQAkoASWgBJSAElAC80hgnKLgOHmcFvbYZK3oeNgvuFhLWXhexNr2kQOcVz/i5jjXMap7k8ed/TIenlQQhsDl1eTIRW5+GfD6Xgm390tgNi9zflGHiMlszGaZxtNs35gRQSpuSERE0yUcjUDmdFByhp4jReXTOcPzECkyqnrrfZTApAmo5jFp4osxngq8i1HHpVqFPuyWqty6WCWgBJSAElACSkAJLASBSYiCowbVKSu45oYS08AGao4XIBkzJSLgxrqNhPVmZANf9ee6TypeT/EEo57/uO43yZiKnXxVohoOy45wdLxQcpqTsShScVNEXgroQYgzkR47+RpOqi6GcRkzUuLuYQWdcoZnPVJkXHtA76sExklANY9x0l3ce6vAu7i1XdiV6cNuYUurC1MCSkAJKAEloASUwMISmKQoOAqI52UFl1wPD46qqHg+PD9EzGg4S6+t2rDjhkQDVFy/rfDYqcHYKOY97ntMo9Echfa7h2Uwy5dCa9nx4Yd1WWq3pnz9RIK0E+Iv5ZKS5cvfUSy2jChWbUvcwpGWWA4K+f3kDI+7Rnp/JTDvBFTzmPcKTmf+KvBOh7uOOgQBfdgNAU8vVQJKQAkoASWgBJSAEpg4gWmIgsMssldhsOb5eOOwjMOSJ0Ivc2LNaBSb6TgSliH5sNlEDHHTkN9dWbVFBJ7no+YFeG23hAcnFcSizMVN9L0cZvF6YYgrKzZubaclP7eXY5AM3G5CPTXabkL8KBzAnXKGe1mvnqMElpWAah7LWvnh1q0C73D89OopENCH3RSg65BKQAkoASWgBJSAElACAxOYpig4yKT7zQqmm/cre2UcV1xspOOgQ/famg0KiBR419LWXDdUa2VIV/LtvTKYQ8xois1MvG/EjLfgnri2lsLNrRTslliLXm7GLwy8IJRoBubsxoyoXHb6ZwaDeAF0itpgk7ZODmDGb4w7Z7iXteo5SmAZCajmsYxVH37NKvAOz1DvMGEC+rCbMHAdTgkoASWgBJSAElACSmAoArMgCva6gGGygu8dVcDX9S+uJPDcRlpe52+KjL2OP+vnzZpY34+rt59z5y1SZNb3jc5PCfRDQDWPfmjpuU0CKvDqXpg7Avqwm7uS6YSVgBJQAkpACSgBJbDUBGZNFOxWjFkS9to5VactGM9K3MYgrtxmPMZ5XGdljUv90NDFLzUB1TyWuvwDL14F3oHR6YXTIqAPu2mR13GVgBJQAkpACSgBJaAEBiEwL4LZrMyzH6fpIPUY9ppJieCdhNiTiouv7JdRdj0clz24QV0aoNmWIZENjG6ouAF4fdKKYj1tSZzE9XVb4jPOO+bpC4nz1qK/VwLzSEA1j3ms2vTnrALv9GugM+iTgD7s+gSmpysBJaAElIASUAJKQAlMncCkRMFhFjptYW8YV+ow6+732mFiLB4eVxGNApdXbDy3mWqbTdxJ4K56vuTp7hQcBEGIw7Ir+bvZpImNVBy5VAx2zJTlMCqj7ASSi+wGIS7kEjLWzc30uY3u5ilSpN/a6flKYB4IqOYxD1WavTmqwDt7NdEZnUNAH3a6RZSAElACSkAJKAEloATmjcC4RcFR8JimsFesebh7WAFFzMOSi6obSn7vqFypo+DTeo9+G9HRVbtbqImz9vJqAitJC7e2M89Mq5PAXXMbQi2Pk4qHQtXHSdXFmm1hMxtH3IwiFTdhGQYsM4LtbAJx05Dzexn3NJtpC/2jrpXeTwnMGwHVPOatYrMxXxV4Z6MOOos+COjDrg9YeqoSUAJKQAkoASWgBJTAzBAYhyg4ysVNS9ijsHl7vwSK4Dv5msQNsEFbKm4gEok8XeIwrtRRcuK9+pkz10VhtpuTtpPAzdUflBywNo9OqtgvufCCQATdrUwcKykLqEcQhnXEY1HkbBMJ0xTHbspquHkp8vbiHG4ympWojlHXTO+nBOaFgGoe81Kp2ZqnCryzVQ+dTQ8E9GHXAyQ9RQkoASWgBJSAElACSmDmCIxaFBz1Aqcl7M268N2JczfXMXXpeh2gKzoI0TULt9O+MKPAw3wNFceXOIZSzYPjhSL4Jp8IvImYgc2MJWMUaz68IJTMXdsycWU1+dTJy7nuFhxcXUtiK5PAtXW76/aZh0iRUe9/vZ8SmBUCqnnMSiXmax4q8M5XvXS2APRhp9tACSgBJaAElIASUAJKYF4JjEoUHNf6Jy3szUN0RTfWo8gN7iRw3zuqgPtlv+jAMqPi4qWIW/UCWEYEXlDHSiomTt0L2aQ4dY/KdPuG2MxayMRjuLaWkunT/fzGYRnpBJ2/Cbx0MSsRGJ2Oea/LuD4fel8lMAkCqnlMgvLijaEC7+LVdOFXpA+7hS+xLlAJKAEloASUgBJQAgtNYBSi4LgATVrYm7SgPE5uRyUXhZonzt3mQSdvNhHDWtrq2FDtzn4ZD08qCEPg8moS0UhEnL+PTmrYK9TA263YMewVHByVXRFmM0kTJ2UPiOBJFq8l0QwUeSkIc1wKuZdWE08brzED2AtDXFmxcWs7Dbp/ux3z6qweV431vkpgUgRU85gU6cUaRwXexarnUqxGH3ZLUWZdpBJQAkpACSgBJaAEFp4AxdRBRMFxg6Gwd1h2cP+oioQZxYVcEjEj2tHxOUgjL65hWpEQ4+THNTEmgUwo1Hbjxnl0EriZRczGavybkQsUdSnwsgEdG6llEjFU/QCFiificS4Rw3o6Lksru419tZ2LY82OSx4vj71iTVzAdPXe3EpJjEO3Y9YjRcZZR723EpgmAdU8pkl/fsdWgXd+a7e0M9eH3dKWXheuBJSAElACSkAJKIGFJNCvKDhOCBSdHx1X8cXHBXGRUlCkSEkX6gaFRDv2VBjka/+9NBDrNN9pNXUbJ79+7t1J4ObP7xyUReClyHoxl4Af1kXsbTp4c8kY6qhjv+SICJ9LWri4koQRiUgcw6N8FbZlYC0Vx42NlPy8Xwcv1zLrkSL98NZzlcC8EFDNY14qNVvzVIF3tuqhs+mBgD7seoCkpygBJaAElIASUAJKQAkogT4InI6NoBj44LiKmuej7AQI65D81nTcRNyMYi3Fxl71cxuIdZsCBeTbe2XcOyojGTOxmWk4UPs5+nWl9nPvfs/tV6jvJHC7fgjm77IGMSMiIm0Y1vEwX0Wh2mi0RrE9EokgX3OlBptkeDAAACAASURBVGu2JY5dy2jELtCBTVF4O5OQxmqWEe0rg7d17bMcKdJvjfR8JTAPBFTzmIcqzd4cVeCdvZrojM4hoA873SJKQAkoASWgBJSAElACSmB0BDq5NM0oxDHq+CGKjodSzUc0GkHKMpC0TFxeSWI7m0DcNJCIRXFl1UbS6p7r2jrrRXHwDhq10UngJheK6zuFmojpq7Yl2A5Kjjhq6aqmg5cZuoWaK83W1lNxbOUsxI1G7MJRxQGFYjZfu7KWgOfXsVtwROxlNu+1dbvvDTToOvseSC9QAktOQDWPJd8AAy5fBd4Bwell0yOgD7vpsdeRlYASUAJKQAkoASWgBOafQKvTlG7Q+8cVVNxAIgDo9KSgmIob4hDlUfF85MseDsoOClVfMmbXUxZSCRMvXcji0mqybQOx80g1Iwp28lXkqz6uriZhRBtZv/xz3sEogjcOy+Ispmj50sVsT9edd99efz+ss7UfBy/nxPPZQO2o4koMA127Bcc718F7eTWBg6KLaBS4vGLjuc3UQPVqcunXqdwrTz1PCSiBBgHVPHQnDEJABd5BqOk1UyWgD7up4tfBlYASUAJKQAkoASWgBOaUQDsHJqMASo6HYs2XiIQb6ylpDtbuCOp1uH4g0QE1L8TVNVuE3lvbmYGIcD5feJCXiIadvCPNxJqNvxgFkU2aXRuB0c06rCt1oImfk01LfmyyRtGcYmjSisraGENxfd2WBmk8+sngbYrtFOHZRO2kwmzkCNwgRDJmdMzgXbEtcVVTyKfQu5IcvF6DstLrlIAS6I+Aah798dKzGwRU4NWdMHcE9GE3dyXTCSsBJaAElIASUAJKQAlMkUAnp2nF8bFfclGseojHouLuZNRCM3ah05QpXj48rg7sCG2dT77q4tXdEuji5X3X03GJfKDAy+ZulhnFViYucQStx7Bz6Lccra5V1wtx96iCqtfZ9cz702XL/GI2S6MQeyGXkHXd3Ew/jbK4d1gBc4TvH1VxIZsQNzIPCrm8jn+3Ct+MXWjkDofY5d9swraSwFY6jo1MQq6lAHxYdJC1TRiRKLLJWNux+2Wg5ysBJTAZAqp5TIbzoo2iAu+iVXQJ1qMPuyUosi5RCSgBJaAElIASUAJKYCQEOuXr2pYhma4nFQ8PTqrIxk3k7BhytomEaYogmLIaYmO7Y1D3bLv57Bdr8OshjsseLCOCRMxEvQ7Jn+WcKO5ezCWeunkp7tJFTIfsuF2p7V3PZfDndD1TfL7exfVMdt3my/vc2S/j4UkFYQhcXk2Kg5r5vI9Oatgr1FAHxF3ddFYzqoEi717BQcULYMcMrGcs5BIxOfeg6IigTLcus3bJ6LR7eCSbS2+iBJTAWAio5jEWrAt/UxV4F77Ei7dAfdgtXk11RUpACSgBJaAElMBkCGh25lnOi8yETtnb+yURI0/n64Z14M5BWVyidPKu2DGUnKCRr/skKuHKalLctO2OQfJvO82HQzw8oWDrSwMxMxoR9y7n4odsIGbBjpu4nEvAC+siSndyxI7qk9TZ9dzIwaVQzWiEiytJEaDbuYxb59LNcfzabhEnVRcPj2ug8E4HNcVcxmdwHI7HMdZSlvy8IRhXReBNJ03EjShS8RgcP8BxmW7hOi7k4tJgjW7hQRrgjYqj3kcJKIH+Cajm0T8zvUIjGnQPzCEBfdjNYdF0ykpACSgBJaAElMBUCbRzIXJCjFrNJmJYS1tDNV2a6uIGHHySTKYlIncSDomMr/pTQKQTllmua6m4CIdHZUde/9/MWsjEY7i2lupImNd6YYgrKzZubVNIbC8GN2/QbT6MFaAIXfN95Cu+ZMZyfzIGgXOlyBuNRqSZWqdM2wG3wpnLurmeKUAfVRw8Oq4hkzTFNdvOZdxuLp1czx2F7yjwMF8TAf6w3BC+TSMKvyl8pxuCbzpuSJM6OopbBfqXLw7eAG9ULPU+SkAJ9E9ANY/+mekVKvDqHphDAvqwm8Oi6ZSVgBJQAkpACSiBqRDo5EIMw7qIZXwFngIvXZrL4vKbJJNJisinN1inV/+b5/E1/wfHVewUarIPVm1LfkWRl45RiqsUUy+tJmDH2kc1NLJgAxGBb26lujZEO28+HJsOVIrGrl+HGwQoOz4cP5QoCSMakYzaW1sZsHHYuPZrV9czgDcOyiKCM1t3tdX13HQZP3H0tvvAd3M9dxKV2e5uv+TA8QLhQPGda2ckQ9I05W/mMnh+HVYsIk7slBXD85sp4aSHElAC80dANY/5q9kszFgjGmahCjqHvgjow64vXHqyElACSkAJKAElsKQEurkQm695M8OU7tJxOyJnpQSTYjJJEbkT207Nu5rnt3PwNn9HN+1RycV2Lo41Oy55vO2Ofhy8582n9f4Vz0eh4kuzMGbxUug9KrvSTOzqqo2vvpIbm+O8m8uYAjSbobG5Gd20609dz64I3czJzSToerY7bvluzDrtGzZSY5QGD8s0xNFMVXfVjiNhRZfyi5pZeaboPJTAOAio5jEOqot/TxV4F7/GC7dCfdgtXEl1QUpACSgBJaAElMCICXRzIUZozXxy0FFIJyLFo3Fnmo54iX3fblJMJiUidwNA0f6VxwVpxFWqBbixbqO17ryW5zQzeMmGTcya53BfPMpXJQ+W0Q03NlIwWvYNr+8ng7eX+bRbT1CvSxxBWA9x77AqjlSKzS9dzIqjd9THeS5jxkc8OKphp1AV1/sZ1zOArWwCl1bebAh3eo69uJ47Ob+rni+N2Oi+Z/5v81jmqJVR7wG9nxKYBQKqecxCFeZvDirwzl/Nln7G+rBb+i2gAJSAElACSkAJdCWwt7eHn/u5n0OxWMSP/uiPYmNjY+mIdXMhtoPRaNrEJlcBLq8msJK0cGs7s1DcJsFkUiLyeYWhm/S13RIenFQQi0alaVe7g5m3FPf5d7OxWvO8w7IjDc62MwlcXTvbbK1Tnmy7cXqdT7d19eMWPo9Pp9+f5zJu5+Bt3qvpMqYATeF3FK7nTtnN08p0HpSrXqcElEB/BFTz6I+Xnt0goAKv7oS5I6APu7krmU5YCSgBJaAElMDECPz1X/813vOe98BxHBkzGo3iN3/zN/Ft3/ZtE5vDtAc6z4XYaX4UeR8eVxGNApdXbDy3mRrba/CTZjQpJpMQkXthV3F93N4r495RGcmYKdEB7Q6e9+ikhr1CjTGuch7jO3iwkRijAC5kk7iylkDCfDOHt9+90ut8uq2tF+drL2w6ndOLy5iO4mYGb8UNcemM67kmrmcKvM/R9XzKZdyP63mYtei1SkAJzDcB1Tzmu37Tmr0KvNMir+MOTEAfdgOj0wuVgBJQAkpACSw8gfe+97341Kc+9cw6KfL++q//Oj74wQ8u/Pq5wPNciN0g9OPKnCeYwzJ5fFKT/Fdmrl7fsBEzomfEu0mJyL1w78cxe++oAtadjdUSMUYyWCLydnLwDuL27mc+ndY3bgdvr3Ok25ni927eOeN6ZvM1L6iLY5o5vJYZfWY5i/r56mVP6jlKQAn0TkA1j95Z6ZlvElCBV3fD3BHQh93clUwnrASUgBJQAkpgYgS2trawv7/fdryf+qmfwkc/+tEzWaQTm9wEBurFhdhtGovoMByGCZ2n+YqH1/aKSLbk0bLBVjYRw1raeupyHlZE3i04EoWwlUng2nrnJl29bKN+1kxh8+FJFRXHx2HZFfE6HTckuiEVN59m8FKqpIh9UvH6zmvuZz7t1jeJfdmry5gN4B4d1yTfmA3gWl3Px2UXTkDXcwJXVpMimDePfl3PvdRZz1ECSmAxCajmsZh1HfeqVOAdN2G9/8gJ6MNu5Ej1hkpACSgBJaAEFoZAN4GXi/zwhz+Mn//5n4fZ8rr5wiweQK8uxG5rHrdTctK8B2HCa/aKjYgCLwjx4LiCqheI2MkGWpmEKQIvG20lYlFczCXxxmG5a1OzSQvr/QjOFDcf52uyfyhon9Q8lKo+Lq028mQ30nHwnCAEklZUnKuMfri+biOTiPVU0n7mc/qGk3C+9rNPGH1RdDzsF1ypP/cFXc+dHLyDuJ57gqonKQElsJAEVPNYyLKOfVEq8I4dsQ4wagL6sBs1Ub2fElACSkAJKIHFIcCGaoeHh10X9M3f/M34jd/4DaRSqcVZ+JOV9OpC7LbwcWedThp6v0xOi52OH6Lkeogigq1sAttZC0EYAV2pTbHTiERFCD6quF2bmk1SWO83MqIpavPvxydVEbQp3tKhascNxM3oM6L2lVVbXM29Hv3Op3nfSTlf+3EZc48w2oKN1eh0jhsGskkTxxVPXM/NDF5G8A7qeu6Vq56nBJTA4hFQzWPxajqJFanAOwnKOsZICejDbqQ49WZKQAkoASWgBBaGQBiGsCwLQRCcu6Z3vetd+L3f+z1sb2+fe+48ndCPC7G5Lgpb/EMhTbJXSw4C1HFlxcat7fQzr5nPE4vmXPth0i6ugG5dca/Wge1MQmIULCOKshOIuOcGIVZsEycVH4wSyCWtjk3NJi2sD9L07a44kR1xKafjJq6tNb4IYe+107EU/e6HQeZDR3nFDXB5NYGVpIVb25l+h+35/PNcxoxnKFR8lF1f9sRhiZEMAcq1AK4fyOfoxkYaK3ZsJK7nnieuJyoBJbBQBFTzWKhyTmwxKvBODLUONCoC+rAbFUm9jxJQAkpACSwjAQoQdBo2xbx2zaLmlcvx8THW1tZ6nv6NGzfwh3/4h3jxxRd7vmbWT+zXhVio+uIwbB4UKB/nq1jPxPH8RgrvvL52ppnYrDM4Pb9+mLRrOBYB8Chfhd2SwWtQ7QTkc0QBMl/1RNyj6EdBlE22+j3GEY1RdQPc3i9JjdkcjMI03aUxIyLNwPwwhBmNyr9TqG7N103GDFxno7BYVIT/UTwrOs0nFTeeycbmPpyG87WTy9jxA6mz69fhUtB1fLhBHa4XolBzJYu37FLgDZFLxnBzM42VlDW067nfPaTnKwElsBgEVPNYjDpOehUq8E6auI43NAF92A2NUG+gBJSAElACS0iAwsVRyUWh5okY0TxG4cqbFZyvv/46bt261dd0VldX8bu/+7t473vf29d1s3zyeS7E0/my3BvMmuW2cDwKvgFubKTErXpjw0a/r+LPIpvzmHDOFGcfndSwV6gJi2bzLLo1+dnZzsWxZsdxIfeseEuRl8IwYw1MI4J0PIYXL2T6auY3ziZizK+9e8gMYR+390q4d1RFqeYjZkZAmZpr9fwQ6UQM19aSuLmV7jtft5+at86HDtiqG8qXCBTQ+Tzi82nYvN9+5nP63NMu43TCxF7BQc1nwz0fjhciGo1I9i6Fb4q694+rKFQ88Fzum+vrKVzMJSSuYVjX8zBr0WuVgBKYTwKqecxn3aY9axV4p10BHb9vAvqw6xuZXqAElIASUAJLTICOOTaIqnkh6EKjwMtM0TCsi0gxbK7mLKH99Kc/jXe/+919Tykej+MP/uAP8I3f+I19XzutC7o5sbtlnbbLl6W4RrGKQt9B0RGHN2MGrq3b8lp8v820psWk27i95L/S4crIBf7NJmK2ZYpDd7/oiPC4lUlI0zE7Zp4ZiqLlFx8VkLAM8DP31ZdyIvb1eoy7idjD4yr+5JUdiZFgc7C9YlViBRjFYSCCVMLAViaJTDwmcRP/6KULuLya7HX6fZ93+rlE5zCFdO5r7seUZUrMQbOJ3SS/ZGh1GVO4PyozVzkirl3LNCS6gu5mHoyOaHxBEoiYy2crHbz83GQTFt6ynelrH/QNUi9QAkpgIQmo5rGQZR37olTgHTtiHWDUBPRhN2qiej8loASUgBJYVALdnHJ0nlG8okDR2ixqnsW83//938cHPvCBgcp59epV3LlzB4bRe9OofgcaRTxGr07sdlmndOk+PKmi4vg4pGhlRJ+KVRR3j8qOfBGwkYnJa/spKyav7dOxyixWvnbeT1OtfvmM+/xu+a+szZ2Dsgi8FPjovmxlspm1RPxs5tGenisduK/sFkQ09YMQl3JJXF23xeF53jHuJmJ0Fn/mjSPkqy7uHFRwVHIQhoAdjyISiaJeD1Fx6EoF1tJxPLdhi8D/H91Yw8WV8Ym85MLYgzv7ZezQNX3qzYIL2QSe2xws7uI85uf9vvnsfHW3iEcnFezkHfkSZDubBOM56qij6jW+KOOXZDk7JlnV29k4ijXm804mM/i8dSzT70fxfF0mXrrW2Sagmsds12dWZ6cC76xWRufVkYA+7HRzKAEloASUgBI4n0A/WZetzaLmWcz7xCc+gQ996EPnw+lwxsHBAdbX15/57ShEg15F2W4T79eJvZ6KS25sa/YqHYh8nXy/5IoYtZay5BX9ihfIK/t07jadq1dWkyIAT7LB1cCF6/HCbp8J5tHSrcn1mnQ0W0ZbJnSUdjp47b2jMuy4ASMSFScns3i7ibzNDN9xCYKMlvj/Xt+XxnlfOSgjYRqgcJpLmgglnqEOBjVEAeSrvgitNT+Q/OX1dBz/4IVNrKWtHgn3ftpZB68r+5DiuGlEYccMrNjMsDVEWJ2kg7e5Cjq3P3PnSN6AYIQF94QfkBjkc2OZUfnig58T/vNWJi6fq3EL9r1TXo4zR/F8XQ5Susp5IqCaxzxVa3bmqgLv7NRCZ9IjAX3Y9QhKT1MCSkAJKIGlJjDr3erHUZyPfexj+MhHPnLurZm7y4ZsrQcbrr366quIxWLy40FEg9NiMMUgNiwbNh5jUCf2esoSpy6zV/mK/r3Dqrg4KUhtZCjaRcA8Xro54zG6EE0kTFMcu3xFnseiiVWdWBoRYKdYw37BAdOI01asI5NOG2yvWAOb1tG0y3gBxg40m5pNq4nY//XFHRH6X90tIRs38dxmWtzZnQ42XbuzX0LB8fGW7bQ4kd/38oVnTh/2S49B9/P1dRuZROPzOYmjmdv82m5JIhlaDMZPh6fAm02aEufReow7cmMS65/1Mfr90msaXxLMOkOd3+wSUM1jdmszyzNTgXeWq6Nza0tAH3a6MZSAElACSkAJdCfQS95ouzvMu5j3Iz/yI/jJn/zJnrbHd3/3d+PXf/3X4TgONjc35Z/f//73y+v5/WYWB/X6mQZ2zLqlG5L5pn69Lq+fNxtJ9ROPMawTmwLdYdnBGwcV7BZreOOgJM20+Fp5JBKBZUQkO9QyDFhmRBynp12qiyZWtasxPzMUwZm3moxFcXnV7sqk3Sajg9cLQ6zalgi7QT3ENJuIcT5/9vohvrSTRxACb72Q6SruNtdEkffLO0UYUeDFCzm854V12ReDfOlxmtOw+3lSMSEUsV95XABF+1ItwI11G2EdEmfD5yQ/w/w880+7Y5xN83p6wI3ppGHF/VFNa16+JBjVevU+y0dANY/lq/koVqwC7ygo6j0mSkAfdhPFrYMpASWgBJTAHBJoOs/uH1XldexZavY0DpxN0eEHvv/D+J//7b95Zghm6gZBcGbY7/me78FP/MRPYGdnB88//zxyuRz6FQ3ScQOFWiBRB3ytv9nAruYG2C85oFBG9y6bcq2nY7ixnkKipUEXRaDz4jFG4cR+fjONv7p7jK/sl0TA5J6guMuDf9Gtm7XNts3DeM6iilWtgiXd1s0MXrqaX9hMI5OMIWY08lYZY8DoAOav9iLosdajcG/383k5Lb6x5lzTK48KeO5J5EKv99sv1XD3oIKXLmVxdTWJSyvJoZ3oHHsU+/nWdqbXZQx8HvcAnbsPTiqIRZm9m+j7Xk3B/8qKjVvbaYlvmNdjFOL+qNY+L18SjGq9ep/lJKCax3LWfdhVq8A7LEG9fuIE9GE3ceQ6oBJQAkpACcwRgXbOs6aY18sy5knMOy06/Iv/5r/C7//Obz6zzO3tbVQqFRSLxWd+bts2Hj16JMIuj35FA772TgGPr2izeRmbLLFBnW0ZeJyn68/Do3wNsWgEW9k4VlKxM/EHzQl1ymEdlRP70koCj05qIlbRecjohl5Ey1ZgiyRWnf4cNIXRu4dlcWIzq1YiKiIUt988u5sY3snlPAlhrN0Y3JN/dvtAsnfZKO+d11YR7RLNcJpJGIb43MM8UpYh8QPvvL6CQs1H1Q0HcqLz/qPaz2y8xs/dOA868G/vlSVTmZ/rzUy87+Ho/qVQzMZ8N7dSZ2Ic+r7hFC4Y5I2GcTdinJcvCaZQLh1ygQio5rFAxZzgUlTgnSBsHWo0BPRhNxqOehcloASUgBJYTALL4DzrJDr8xsf/J3zyX/0PzxT2H3/gP8W1yxfxKx//pTMF/4Vf+AX8wA/8gPy8H9GAjBnj8OC4KrEHWxkLF3NJvHU7i6oXiJi6V6jJq9x0T9Ole7qB2ekYhHbxGBQbKRIN68TOxGMi8i27WHXeJ/6g6ODTdw7x4KgKJwhE3PTChoP5dJyFGQXW0nGJtaAIvFtwxO17ecVGOwFyHK+2dxPf2CiNzt29oiOREzc20uI0ZxRHr8eXdwrSdI7u3curSawkLYmfaJcnfJ4TnWPO05sFy/AcPW8f9PtGAxs0UgwfZ1byPH1JcB5f/b0S6EZANQ/dH4MQUIF3EGp6zVQJ6MNuqvh1cCWgBJSAEphxAovuPOsmOpQLefyz//yf4P6d16VK2dU1/OtP/u+w43F82/u//kzlXn75ZXzhC19A2Q1wZ7+MhycVaThGMYtO107HvaOKxDlQxOW1q3YM29kkLq0mUKj4OK642MnXQMGD7keKt0dlR15x38xaoOBKV9/po9UFup6Oo+z4z2SADurEpjAXjUbEcTyvr5uPQyBt5d/cV6/uFvDopIqdvCOv1G9n4zCiUakh61fzfMmzNQ3mF0exloqh4oZw/AA31lK4um7j7VdXxv6UOE98O6k4+Ov7edw/KCOdZHO1FOKGIXuSIlwvx1/ePcJJ2cVqysI7ruZwazvb9XPRyYnOsebtzYJ5m28v9eznnH7faOAzj18isUEj3dXjykqepy8J+uGt5yqB0wRU89A9MQgBFXgHoabXTJWAPuymil8HVwJKQAkogRknsMjOs15Eh0qljP/3j/4A5aqLF97xbmQ3tkV0+P4PfgCf/Q9/caZ6f/qnf4rrL7+zZ6csBfSmQ5dv79txAydlD9u5OFYSFipeIAIv53ox92bWLcWv/aIjmbdbmYSIwczmbT1a4zFyyRiMSBSPC8OLshezSWn4la96TxtGDSoWc+4vXcx2bC7V7eMxiEg7iYiD1n1FAem47IqAS4HdMg1kEqY0HGN+cckJkK+6KNV8OYfxzpmkiYsrCWykE3huPYUVO4YrqzbG9ap6L58Dzu8zbxzi1Z2iiKsbmTi4pyhaMzLkPCdvzffxN/eOpUncldUU3v/yNrLJ2LlPv06NGufxubTMYmI/bzRwU3QT98/dND2esOyie4+Y9LQFIaCax4IUcsLLUIF3wsB1uOEJ6MNueIZ6ByWgBJSAElhcAov8P4KHER0+/+//HX70n3/4TOE/+MH/DD/yM7/Us1OWztxWh24yZoB5vMzezSRi8io/X/Xn6/prqWdzO8uuLxmvFIPX7LgIz6ePZtbtRtpCFFHsFKojyQBllECx5g8d90CB99q63dcHaBCRdpLZn6f3FQVdRi5QlMxXPGmeR3aI1MWt63oBio4v0Q2rdlxcvIxrWLMtrKZiT12y43pVvZfPATN4P3X7QNzIdPtupi34ISQLmvnCF7LJrjXcL1TxV/ePUa9HcGsrg298cQsWcyl6ONrlEc/jmwXLGgcwq+uexy8Jevi46ClKoC0B1Tx0YwxCQAXeQajpNVMloA+7qeLXwZWAElACSmAOCCyi82xY0cH3avjQ+9+Fk+OjZyoYi8XwR5/5Iqpm6tz4Aorndw7KZxy6h2UHfljHSpICL52eHuJmVPJKWw8Kgk0xmOLvjY0UjFNREM3GTNvZhGS7HpSdc+fVaUtSLGZ0AMW8rawloiXvj3rk3BiK5j07OTJ7+RgMKtKeFz/AOVXcQJypSSs6lKDaaV9RTGJ+bcnxRCSlq/e44olzmaI+BX3HD2FGo2CtXr6UhmWYsjfG+ap6P5+Dzz/IS2O9r+yXcTEXF7GWjeMoRDMqJGG2j2oI6nV88VEeX9kvYSubwNsvr+Br+oidaNeokRnUr+2WZD7zFBPSi5je+lmYhJO1l8/eMOfM6n9/zOOXBMPUQa9dbgKqeSx3/QddvQq8g5LT66ZGQB92U0OvAysBJaAElMCcEOhHBDotTjw8riIaRcdmUdNCMArR4Xc+/lP45K/8wpkl/OC/+HG874P/9FynLF2RzN+lcNrq0D2qOODv1lNxhAhxUvbbOng5cFMM3s4kcHUtidPN1poOXjZtC8M6TiQOIMCNdVvcwZ0Oip38Q4GJ+cGOF+BLuwURnOkypZjM2lKwpBt1MxPHjfXUwJmq5+2DQUVacmHjOu5huqWZc9ts7BUC8IMQddTB/+f4dRSq3lCC6nn7ipm8O4UaHp/UxMHKmIIoVVKWog6pOx3NnCMd2eMW+M6bb2tdDksO/vZBXr6UoOhK5zj30lraQi5Bp/GzDvPmtVXPw2e+coyS60vDrH/wwmbHc7t9ueCFIa6s2Li1nUbMiOKVx2z6VutpP5++bzvRmGL7uI9e4jA4B86Pe/akMtx+HPd6zrv/LL8Bog7e86qnv18kAqp5LFI1J7cWFXgnx1pHGhEBfdiNCKTeRgkoASWgBBaawCI5z0YlOhT2HuA7/5N3n6n75WvX8fF/9ynETVPcmJ0OCgwPjqsi+LU6dJui7WYqLlm3zGk9ncHbvGdTDKar9spa4hkX5WkRi6/S8973j6q4kE0gnTjruKSrrVD1RVziQcGRWbFFx0O55oNRDyupRowAXcb8HWUxirx0od7cSoujs1U8Hlas6kcUKzuNzOKm65VO2UzCwEHJk/mxHjU/kOZ1jLigq7l5ULymm5a/588vrybAhnK3tjM9fbbP21cVz8ej45qIkjx3LdVwZFNAp/Oa4z/K12SeFHifoyM7GhGRdxxflJw333aLtNi+/gAAIABJREFU/vSdQ4kMuXtUkXkmzAiSlolc0sLFleQZB7kfhvjybgEPj2tSh+1MEt/0VRd64tl6UtOJzmaCN7dS0mywH3H69IDtYh/6ntSAF3T7soJ7gHuPn0M23xvWUT7gFEd22SyLqIPs/1Yw0/qSYGTF0RstFQHVPJaq3CNbrAq8I0OpN5oUAX3YTYq0jqMElIASUALzTKAfkS1f80C3nxOEuJhNYMW2JHdzXE2i+uU6StHhv/2vvwN/9qf/95kp/Pe/8r/i5b//H3d1yrZz8J6OXWATK7pK6T5dT1sibLUe3Ry8p0UsOi3v7Jfx8KSCMKSAmXzquG1GCHBOfP2dAi+vZ4yA6wfSHItiI13FdJjSLcw4gcOyi71CDZFIQynla/tsusXzhhGrWhuoMRKg6cBtirQcrem+jSACk13L6hDhlKLiQckB9yHdsRTLKIBvZCxpTOf6dbhBIE3P3KAubkkK0pYRQSpuyrpOKq40Ent+I43nNlNIx5/l3q7B23mxAawhBfndvNO2luR3VHbgBXURoq+t2U9zaschSA7yOchXXPzNgxPh8/CkJjWgC/nqalIE3maztTAMcVjh3nCEcypuIKwDb7ucwwtbvQnmrfu86URvOnj5uZjnNwsGjRvp91k37fNnPQZhXr8kmHZddfz5I6Cax/zVbBZmrALvLFRB59AXAX3Y9YVLT1YCSkAJKIElJnCe84wOxf28K85Ivgqfs2OgEHNpJSECGwXG00LZNHCOUnR4/TP/D37wn37HmWX8w/f9Y/zgT/3bjk5ZXtAug7fiBc80TssmTTw6qYmISlGTUQh0fDbE1M4ZvJ1cn+2c2BT6HudrT5uAMQuW11NAo5t156Qqoijrt5GK4YULGXEKM0LAjhni4r29X5IcW4p9jILguWY0gmg0Iu7kbCIm8RGJWBRXVu2OYv/pBmqsFde/X6zJXrqylkQQ4Bn3LefPPUdAqQRdpabMn2ul2Mt/f/FSBn5QR833ka/4cLxQ5sb5kCfPr3mhzD0eiyJmAuVaiHdczeH6evppI7huDd6YBXtSc8XhmoyZUqvmwRzaNw7KIuCysdqlXKJtRAYdx/xihA7rK6tJWXOz1m8clsV1zcZ0L13MiuA+zDHo5+CgVMPfPSqgVPPBOZEJnc5XVhOwYoYwLNR8BEEd6YQBxoOwPhStKQCfFw9yek3dnJLz/mbBIA0Dh6n5pK8d5EuE03NsJ+6Pah3z/CXBqBjofZaDgGoey1HnUa9SBd5RE9X7jZ2APuzGjlgHUAJKQAkogQUi0M55xtfzKcD5AcS1SdmJ+aZmlIJkApmE2bPANwlUoxQdLqQtfOC9b8ejhw+fmXo0GsX/8n9+Gutbl7s2IKOrk5EC/Hs1FQMjBsiQIt6lVQqopuT0Ulyn+5SCH1/tpyhJ0eyo5EoW6podF8GVR7fc1tNObIqiFGaZQ0uhltmmrBcdmnTvMj7CiEBE+mgkKoIoK9x0E1OEpHDLMe8elqWRGK+nkM/X6XlwPRR4uwn8nRyNFLaLjo+DoouUZTzJGK7DikXF6cp58lX2SCNJVxq+GQYkE3a/5Ahbup7ZsO7SSlKiJJprZBzD6SiJqhfIOXQtM/OVXN92JYcXL2TxOF8VEZiN5go1T5qiUcxsitgJ05DGc8cVRwTaq0/Wz2nxGkZjMA+Ywjcdzu2OTg5entuv0NXOZdwqCg/yOaBQTdduvurg1Z0y9koOah6jLhjVYICaM/cmHbsb6QQYC8JoBu5nxmZ0iwfp9Nnv5l7u582CWc60Pa9Wo34uTmq8eYhBmPcvCUa9N/R+i0lANY/FrOu4V6UC77gJ6/1HTkAfdiNHqjdUAkpACSiBJSDQdJ5R9BL3Z9MZ6Yci7m1l4iKsUfijgMj/oT8reZKjFh3+t3/zP+In/uW/PFP1//KffQQf+C/++dPs16bztvXEpkOV4h2FQQpiW7k4MvHYU4GUQtzDkyoqji+RCBQoKaDRQUlxsSkGJ83Ga+vnNWZqdWJ//kEeR2UP+aonwiyzdSlcsqb5sgfDiEgWLV2wFHUp5lKEpNC5mbWemWfTNUwr7XY2iavrSRF2Od9OblPW4rjs4I3Dioig+QqF07qcnzCjsu6dQlWyaxNWVPYR4xgYy0BnMJmy0VvZDeSLBYqMdLlShqYA/jjvIFKvYzMbBwXYi7kELq7Y5zaD4xop1uZsExezSTy/mZY8ZEZVVN1Q5se4iKb7l3vc80PJOGbbNkZgfO21FaTjMSk3Px8PjmqyFjJkxu7po+HIPpvB2zyvXQ5tu0dNr67Qfj4HdOefzi3mfF/bLcGv0yVt4Dozg5+4y/kXRW7GW9C5O06n5HlvFixSpu2w/9XS694YdpzW62c9BmFRviQYZc30XotHQDWPxavpJFakAu8kKOsYIyWgD7uR4tSbKQEloASUwBIR4P8wfnW3KOIghV6KPBupODJJ84wz8nTzK4rANzfTU8vlHaXoYNSOcf36dQTMDmg5Nrcv4Lf//WdxUAkksoKiHoXZ067RL+0UxMFLN+R2Jo7Lq7bkr1IIbB4UgpsxChRwKfYxcuDCSkMM5mvw/TRmatSugK/sVySTlzmpjFfgwXo6XiDCPJ2mrCddw0/zVet1cROfdhrz2l6zYptCE9fBRnOcO8VTisEUBi/k4ogZBl7fL+KVx0X4QSDCL3NuOS5zcino8p/paqbYyoPiK2MZ+O9cE+fJuADel7EIl1aTEhdi0V7e5aBY/fpeCXT0rqeYIZ1GzQ+71pF7/LW9ooi8rA0zjt+ynZE69uLg5XzpoqYTm3ul6chuTvM8B+8gua7kwxp0ctZy3hy3XW4xRf6y4+HGRhrrSQsXVhISS8EvCth47TTjcTolB1n7rGSCT+K/MqbJZ5zi/qjY6ZcEoyKp95lVAqp5zGplZnteKvDOdn10dm0I6MNOt4USUAJKQAkogcEIjFOwGWxGvV81atHhW7/1W/E7v/M7ZybwsY//Kt77Tf/kjPOztQEZRcl8zZUmXyUnELH2Ui55RgyuuT7uHDLH1UPV8xGPGeKYpIOX7tZ+sm45UYrc947K+NLjIuy4IbmxjBx4mK+KUMvMg+c2bSRjDeG39egUD3FeZ/nTQhPFbcYoHBY9iX9gY7Om65ehCw+OKtgpVlF1QqymLBEPGVlRrvmoIyJu3Rtr9lPRnO5ZNqWjYMymXo9OqhIbILESKUvEc7qkT4un7XbOg+OKZAtfXElI5ANdvHSjtnNiN6+nm/gLD/PixF21TTy3kcaNdbp/u2fwUlAW0RzAVjYhkRitDfXO49pNoGp1GZ920m+k4zJuu8Z7rDG/eGiXW8x58joK7rmkhWvrSRG0uYeur9vIJM7umUk4JafhUO39qTOdMwfdG53qOMgq5uG/K6Ypgg/CVK9RAv0QUM2jH1p6bpOACry6F+aOgD7s5q5kOmEloASUgBKYAQKjFkinsaRRig5//Md/jG/6pm86s4xv+IZvxMd/4//omt1KQZPCG92bFDDJtjUGoFUMlrzZCGMKIpJ5TKGSgqVImD1k3TYnePr1/KtsXhbWxWlKRy3nQtfxWoes2G4N3jo5TU8LTRR2j0qeRCwwcoECruuHMg+JXzCAuwcVydmlC/bqug3fr+Ow4uDxSU2azF1eSTbcxS1uZ4q8zCZmzAJFSIqrFDLpRo6ZUazZljhNmw3M2u093vvOYQkPjmuIRSO4sZHCu59fFyfweQcbj93ZL+G46olQ/9VXskhbMRFLjyoOdvPO0wxj3oviLnkziqPhgGU8h/3MMKPKoW3npOda2Uzv4XEjHoIiNuciQrrjg43f+GVCLhkDc4uZdfx0vmkLRpSRIaZk7HI/dnPnT8opOamM2fP2wrR/34+oPs63LPqZRy8xM+Pkql8SjJOu3ntaBFTzmBb5+R5XBd75rt9Szl4fdktZdl20ElACSkAJDElglBEH19afFbOGnFrPl49SdAjDEG95y1tw+/btM+N/+ctfxqXrz4voyOZczARtHq2iLN24dI12a+RFMZhiJ92udPpS6KVASJdmt6zb05Pq1GCLP6fAy+ZqFFnbZcU27yVRBGEd2xk2FGs0W+PRLiu2HWuKuXSH7hXcp4InxcZmozPeh+Iuua2l47i+Zkt8BN25+yVXxtpMM/bCFBdp61H1A9w7KEujNUYrUAjm9WygxixhiqgUfTsdFDbvHJRE8KbY/veur0qjtfOiHXi/BtsiHp7UpOEbY0tubWUQidbx+KQRicA9sJG2pNYUlOiEpcPYjpsy11bxuZltHI0Cl1dsybWliNo8hv2igvnK3IecxxsHZRHZWdsgDHFS8WXNFHftWCNz2AsbURmt8+U5j/JVyYVmvMaqHcdLF7Nts5fVKdnzI2roE4fdGytJC7e2M0PPgzeYlLg/kskC8kUT9/kgz9dRzUHvowRGRUA1j1GRXK77qMC7XPVeiNXqw24hyqiLUAJKQAkogQkS6Kc5U7tpnfe6+QSXMlLR4Wd+5mfw0Y9+9Mz0f+iHfgg/+7M/Kz/vRTSYhIOMIuntvbJENPC1ejpHeVDco3OTLlyaVSmcNgUOCtBs6tY86Ebl+cy0vbLWaMTGo52D97TQxCgGfklAl23FDSUftzWb2AtDfPlxQeZCMZRi89UnAi2jAyi88ucUQulg5vxboxMY78A8XDp92fBsOxvHWy9mxDEcj0Ulb/hyLvnMeprr4nopcB+UHFRdXxyq77y2KuN3c/22Fp7ZtH9171giNDgvCtR0RJ9UHLBh2UHRAzMw0okY2BwvZ8fk3mwC1xrNwLmQJ/OQ2ezutOA2Kid9JmHgi4+LKNRcYXb3sCJRF5z7ih2DGY08rQ+/XKDQzDlfWUkiakSkAVvR8bBXeDNmgvPl3lhLW88I0k1Ok9jnk3yWzNpYo9obp79QGGadKu4PQ0+vVQKDE1DNY3B2y3ylCrzLXP05Xbs+7Oa0cDptJaAElIASmBqBTu7PfiZ0XsOofu417LmjEh0ODg5w5coVOI7zzJTW1tbA/3sjmUz2NdVexOC+bthycqcaNsV7ZtfSLUu3K+MT5IhAXtGne5RiZDsHbzvxno7cO/vlZ3Je6YxjY6/dYk3EQ8YntB5uEGDnpIZX94riiLVjpgifFJ3ZNM0QwbEuMRV0l3KebLzWPBjTQDcq10GBNpdg9EBSxOp6pOGqvbSSPBO50IxLoFhJYZhuW86NzdIYm9CLg7c5B4rn3Od0s17IxkFXMR3EFFApUFOAY7Yvoym4BkYjNAVkcuzlVfVROOnX0zFpokbhlkI8HdzFJ9EMrDed4fyMUHRnxAXrz3pcWU2Im5fc42ZE3Nz5qi+u681sXBzSL2ymnzrOr6zabZsqjnOfD/r5WITrRrE36Mxnxveo37JQcX8RdpiuYZ4IqOYxT9WanbmqwDs7tdCZ9EhAH3Y9gtLTlIASUAJKQAk8IdDJ/dkPoHav8fdz/TjOHYXo8J3f+Z34tV/7tTPT+9Vf/VV813d91zimPdA927mwHT/EXpH5tlUcVVwRRynwWYYhr/AzDoIZrRT0+M8UKSlMMqeXGbV0q7bLim0nNDGa4cFRDTuFqgiAp6MgnMDHXp5zqGCv5EhuLkVGCrucu2ThRgA/qMscKJLSIcuj2WiN7uCTqgfXqyNpMcLCgOeHIvgyHoGC42qKzllT8nzpkm3GJdDRWqj62KfAy3iI9TSe4xpbHMzngW/ucQqddMF6QV1cx83mZeRHBzR5MmaCbE/nLSetqIjX7ZqXjcJJ/+puUcTchBmVnF1y5ZoPy66sP5c0Uaw2IiQo1DNSggJ52jIkczebNOULAIrhFH+3MhZOqk/uZxq4kE0glTA6ruE8hvr7wQiMYm8wS5pNDCnwdorbGGx2b16l4v6wBPV6JdAbAdU8euOkZz1LQAVe3RFzR0AfdnNXMp2wElACSkAJTJnAojl4T+McRnT4sz/7M3z913/9mQq9+93vxp//+Z9PuXLPDt8qvGYTpgh9rO1eoYbdgiNu05gRwUoqBqp6FCPpcKWQR9dtzQ1w60IaFzJJMHLBD0NpJMZrrq6lJCuWAvErjwvihC3VAtxYt+VVf4qb5zl42YyMLmH+oQjKuIAK5+gHIniyt1wQRp46eCm+UoCkEFzzfJTdQPJ6E6aBfM0TUbpc8xHWgUyyES9AxyzXQmduw4kalegBRlEUKh4enFRFpLy5mZYGYv0cp13qFE+bmZ6uF0oMBEVfsmA2MwX2MKzL2JxHa95yO/frKD6Hn713jHzNlfpSwN7KxqXZGp3VvhfAqwOOFwhLPwhlblXHx1HFg2WQd4Bs0hKhlyI8RWIjAkSjFHsbje0oaPfSgK0ftnpudwKj2Buz9JaF1lsJKIHhCKjmMRy/Zb1aBd5lrfwcr1sfdnNcPJ26ElACSkAJTIXAvLjDpgGHTtC3v/3t+PznP39m+M9+9rN4xzveMY1ptR2TEQyv75bwlYMi9vIOMnYM+YrXeCXfawh6PIfiJzNrIxT7/BAl18dR2UWSWbaJGK6v20jFY5KnS4GVIuHFbAJ/78aaiKev7Zbw4KSCWDQqMQQ8gnojQqFTBi9/TydxvurioOTBjjXcuW5QlwiAqudLZgRdr3S/0gHMuIA61VvU5Z8PS44I0o7f6Grn+wECADThmpEosrYpQjEjB5KWgaurtjRf43rXUjF87kEexaqHpGXiXddXZI29Hr3mTA/jGh/WSc/rv/AoL5w30gl87fWciOh0Vt8/LovAT/c2a0DxnFnHFJ4puNNVXa4FWLGZf5wQVzX/MLPZ9QMR0MnzympSeHbLEe6VqZ7XO4Fh9wZHmsW3LHonoGcqASXQSkA1D90PgxBQgXcQanrNVAnow26q+HVwJaAElIASmFMCs5zvOG2kv/RLv4Tv//7vPzON7/3e78Uv//IvT3t6EkNwVHLFNXr3sIzX94p4dFITZ+zFXFKEOQp6+0UKtoGIvHS32nHGNUREOKWz1TSiWLVjIvzx93SjMvKAou9bL2RELGWzMzp/KfC1NnMjBLp92aiNTl3GELQ2F+PvOQ6dt/cPK5IPSyGRc2fjs4b7lREBljQpowBNhy7F6eOyIw3S6BjO2jEEkh0bwXHZg+PVsZZmhnAjR9YL6QY2xGnKmIe3bGXEwcv5ssEbBU3e5x1XV+R19V6PdlEV3a4dxDU+rEuT/G/vl4Tlra201IwHndV/9yj/1LHN6AvGYNB5zWxkciRfunovrSREIGeWMPcJnbqM6qDL+6su5Z7mFlNof3hcBWOS2aBtlI27eq3JMp037N4gK3XwLtOO0bUuOgHVPBa9wuNZnwq84+Gqdx0jAX3YjRGu3loJKAEloAQWlsAsdmifFdiFQgGXLl1CuVx+ZkrpdBqPHj1CJtMQ0iZ9tGsmRxH3lUdFHJRqIuYyjiBrWyLapSxDGpqJa7fmi3O37HiouiEso9HsjMIuxVUKfRsZS3JueS2dn8yPzSRM7BddcdJS+G06eLn2iufj0XFNnILMpt3MxMVB2jyY07tfcHH3qCzuUOb8MgaAguTru0URINkobY35u6Yhlx1XHJxUPBGnOOZK0kI6aUr2LoVJitiNzN+YzNuOR+F4obhzr60mJYIgHY+JUMn8WTYNE8dvNIrL/H3L/DrVb1Ji5jBOel5756CELz0uSJbxixeyeG4zLUvizyj67xVdyQ5ety0Rd3nQzcvPPp3efr3e2CdxE5vpuLTiO6y4wp/xDIy1aM1u7Vf0nvTnY5HGG2ZvkEOvDvRFYqZrUQKLTEA1j0Wu7vjWpgLv+NjqncdEQB92YwKrt1UCSkAJKIGFJ/DabhEnVVcyO/mqPMW7bgIYha9leVX7+77v+/Dxj3/8zB74xV/8RXz4wx+e6N6g2ENX6xuHFcl7pTjH2AK6dMuOL+Lu7f2yNPii2BkCIsxmLVNiDCjoUtytOT5OaoxGqIsTlhENdM1eW09hIxXHxZWE7AE6PstOgOOKK6KxE4SS15tJmuKQbYqFhHDvqIyi44mQS5cuG7a17qHH+Yo4aRn9QCGXLtPbe2UUqm5jnnETN7fSIsAyn/e1vSLuHVUlXuBCLoYVOy6i9WHJxYHEShiSc2uaUYkS4FiZuIGKFyBtxaSh2rX1pIi5dBwzpsILw5nd44M66SmOv7JTkIiO7VwcL2xmnmYMf/5BHvdPyrizXxHhniI5DzavOyg6KDmN/cOsZTZXo7uXDmzWgDV/nK/h+c0UrqzYeNuV3NO9rqLhRD/2GHRvcJYqxk+2VjqaEhg3AdU8xk14Me+vAu9i1nWhV6UPu4Uury5OCSgBJaAExkiAjlC+4k1HH1/3prDHLNRU3HhGxKOww3Po7FuWZkuf+9zn2ubtvu1tbwN/1ypyjqtEzSgGOmQfHFel4RiFTsYYUPRkVu5e0cHjfFViEsIwQMWrN1y6XiAxBql4VFyyjE9oxB6weZmPNTsuObWHZU8EPmatvngxK6/nN4+moE+BluItRdd3XFl9JuqAgvPpuVFcphBLRidVRwRd24qi7Ibyc4qyFBf5H77yz7ml4wZe3SmKu3en6GArbYkjOJ2IidOXIje/hGCGL0VhTpPrOGFsgx8iGY+gXo/gHVdXsZ1J4MYG82NtWcos7/FBnfTcC5+9dyLi/qUVG191OSuRFeL83Cng9l5J9sZqMobVtIUoIiJ0M9qDsRlGlMbfCHy/LpEWjLeg2H9ccnFMB282LsL7Sxey8kVC89DX/sf1aT9730H3xqQc6JMjoSMpASWgmofugUEIqMA7CDW9ZqoE9GE3Vfw6uBJQAkpACZwiMEgW5zQh0ul197AiTa8oHtLtSUGHYhpFNL56TzEpCCGv7NPpR2ckG3Mxo3WRj6/7uq/DX/zFX5xZ4qc+9Sm85z3vGdvST0cxfGmnIM7Kw6InQutGJi5xCRTb+Zq+w5pJfm0EVS9EpUanrievaW+k45Kxu5Zm/AJzdkOpK+MYjEhUclfZ14yi6NW1pMQftB4UiygW7pccGn+xkaVbNP2MS5dCK78gYCRDvuKLi5hRCXEzgsOyK2O6fl32D6VCxkBQ2E2YFHuBfI17z5GMV+41io/MEqbwS1cp82AZJcA8Xa6HE6HDuOIG4kqlyMusYLpRX9huxAq88/rqU2Gy1z3u+XVYsYjEGqSsmLhYV+yG+3WcxyBO+gfHFXxlvwx2zmN+7tdeW5MpUgynIP93j05kf5BJs8meH4Y4LnkS08D8ZX62G43VGgIv2fN6CvC8pjWDt7l+bdw1zp1w9t6D7I1lectispXQ0ZTAdAmo5jFd/vM6ugq881q5JZ63PuyWuPi6dCWgBJTADBFobXxF4aR5UEyjGEeBjSLVLB7tsl3piuSr8A2hLiproPhHgZHOyCRDXBf8+MQnPoEPfehDZ1b5Hd/xHfjkJz85ltWfFiMp7B6VPHmtno5LCnEU4SjG0YnJv+nKZI7qaiouoqo4M8NQsnEp3lIUXWOTrWgEflB/6ujlAtgkjfe7kE3iyloCCfPsHuWcPnc/j3TCELfstTX7TJwHnbwUlijkspFXqeZJBqzjBdK4LWmZjUZfiMCIAHbCkHP3izX4IcSJyjxf3oMO4CtrtgjA/KJBRF6D8Q/M6o0+5U5xkgI02dBdnjCjyCQtaah2azuNROzNPdptj1MI5bp4Z4rPlhmR9fH6SXx2B3HSd4rO4M/pqL4v0Rm+uPKbTfa4Lj6nmL0cjdThBxR/IzCjDc5kyRpxP7Ah3bW1lDi7Wzmqg3csH/uONx1kbyzLWxaTrYSOpgSmS0A1j+nyn9fRVeCd18ot8bz1YbfExdelKwEloARmgMAiiaPzLFKPYytUq1VcvnwZx8fHz9zesiw8fPgQGxsbIx22nZhDsY3O2L2CK+5pulod38f9o6q4aul6bX6JQMcpm6M1D7qy90suLKOR1Uvxji/mv3wpg/gTIfew7MAP6x0dvLwXncCv7hZFMKSIGo8ZIr62i/Moux52ThzsFGsSB8Hz+X0HBVOeHzMj8IK6OHkp5HI9FIM/e/8EbxyWJTv08koS2YQlzcMY6cAvRlpFxtPQOb9H+ao4hekuf/fNdbxlOy33Pn207nHyZowBGVMQp2DMtZHXJL7YaHX7V5xA1kChvJuTvtVlXKwFEn1xXPYlsoOibNPBSyE2CEMR+B0R3AO5d6HiCaeKOPUhXPkFDrOTeT3/mQJ8NBqVmlHMb4rqmsE70o97zzfr1YG+jG9Z9AxRT1QCc05ANY85L+CUpq8C75TA67CDE9CH3eDs9EoloASUgBIYjkC3/+HN15zpiONr5BRy5ineYN5iJoarYverP/KRj+BjH/vYmZN++qd/Gj/8wz880qFPv47NKAY2WjoqOyLIXcolJNd2p1CV/NnDoiMCJQVauqsvZOPYSCeezomC3EHJRdRgkzZPHNl0kjP+gI7dpjBK9yYFvhsbqWcyeFsXR8GwUPPk9X3GO1C87RTnwfxffjY4J0YwUGhtioRN4bSRo9uIAtjiOo+q+Mu7Rzguu1izLWmWxjxgnt/LQaGaGcNsKPauG6v46su5rqLwScWViAMK0mTDbF+6Xcli3J/dTl+kUICl0Bu3KLJGhHfTSd/OZUx3MSMwWItk3JDoDL49cOegLJEeFLDX0zHJ1KUwzAzeZh33Thy5hq7o7UwctkRg8N8buczkQEH+Oe6JJzVYpMZd8/aMW6QvEnv5POs5SkAJPEtANQ/dEYMQUIF3EGp6zVQJ6MNuqvh1cCWgBJTA0hLo59VZ5oVScNFXZ8e/XUYt3Lz66qt461vfembiN2/eBH9Hp+MojnYNlei0pFN3t1iDGY1gPRUXN+9+wcVRxZVMXP5/FO1KToDtXAIXMolnYgz4ej5f22dWbbHqSVTC1VUbm1lLcpUZ77Cdi0vTtQu5N8Xh02tqZq9uZRKIx5ilG2k4QltESIqxFJHlS416KGIls2wZ59FNOKXQ63kh/ubBiUQ6MCbh4hMxu1e2h+VLdl9gAAAgAElEQVSauJmvrqXwNVdy+Nprb2bwnr7HtD67vYp03MPkQNGVgm03lzFFbe4DRlTQEf3ypazkIPN5w1zkpuub+6ZcazyHKADvl7inDKzZMak7ndKWaYizmnW9tp4Sgbe5Jxalcde8v6Uw7/Pv9fOs5ykBJaACr+6B4QmowDs8Q73DhAmowDth4DqcElACSkAJCAFtfjNbG2Gcwsf73vc+/Mmf/MmZBf/RH/0R3v/+948EBJ26FFEp6DZft6co9+CoJo5duispuLEZGbN3Kczm7Jjkxu4UeI4jAh+v5XnNgwJszQ1EC3aCEB4zdNkgL27K6/uMd6Boe2k1ATvWOSP6dPYqXcOcA+/fzJymMMj8V96TYiYdpu1iHOgcbv3Sg67Ro7IHunDpNGXMQFOY7BUum47RzfryxSy+9hozeDMdL53GZ3cQtz/zkin28j+dXMYUdh/nq+LG9ut1cUszN9f1QuwXHan7ZiYuwi2bq3F/PS7UEHnSqC6XNJGzG25pRjbQMcwGbIxn+KqLWcl8prg77427ehXX5yVnfNRfZPX6OdPzlIASmA4B1Tymw33eR1WBd94ruITz14fdEhZdl6wElIASmDKBdm5LvtZ93rEoLrjz1jnJ309CuPmt3/otfPu3f/uZZX3Lt3wLfvu3f3vo5VKseeVxQQReZqXeWLclvoCCaauDd8W28PikKkJdza9jM22Jk5YuTorAFEazyZhELZiRhrOYjk1msFIsZBzCcclpuDIjERFg6d7NxGPSUKvT0S17tVVourPPxl4edvKOOHYpEnb7XDSFQ36e6FamCFrz6uJW5kFhspfPFbNm/+5RXsRNCrvf8OLWk7zhsyuaxmd3EMcw5xlQOa/XYRhRpC2zo1hOIff1vRJKri/syIzlpx+XojfrTqQUgyHN1erIV31x7bIGbGLH5nwck43v1lMWNrNxyd/llwaNxnmh7BvmId/cTM9Vk8VBxHVmOV/nFyEJ5lbroQSUgBKYLgHVPKbLf15HV4F3Xiu3xPPWh90SF1+XrgSUgBKYEoF2bstep7JIOZa9rnlc501CuKGAWak5eMsLz2Pn8eNnlmIYBu7evSuN2IY5GKHw2m4JD04qiD1pbsX7UeB746D8NIN3Ix2TZmuMZ6DbMsdGZICIb3Sw8j4UhinQJWJRBEEdu0VHBL4whIh4D/NVyZrdokPzUha5pCWOTzoXOx297NlhhdOjsisN2B6f1ESc5f3YAIwZseeJxOS2X3Dw1gsZXF9L4R++dbPjWqbx2R3EMfzZe8cizvJ7I2YSM3KiG4eq6+OLjwso1nyspmJPGsfVUXF8uQ9FZoqz0ojOMiTjmG5uiv9HJU+u436joMuYDZ5LcZN7h0LnxRXGOMyf6DmIuD7PYvYwzyG9VgkogdkloJrH7NZmlmemAu8sV0fn1paAPux0YygBJaAElMAkCXRyW/Y6B+1E3yup7ueNW7g5Hfnwr3/mv8PHf+6nz0zqx3/8x/FjP/ZjQy2q4vq4vVfGvaOyiGh0rjYP5qgeVRzs5h1kkgaK1UCiDGJGVBy4zeOwVBMhj0Itnb9+CLh+gLLjS+6uEQE8Ojdrrrg8n99M4+qajXdcWZXX8DsdTdc5nZ+Mcmi6Gjl+s/kWrx1WOL17VIYRiYqLlw7TVMKUhmsch6Ij3aYUr5sHP0fM+v3/2XvvIMmu8+zv6ZzD5LCzCRuwIBaRyABBggQYAJpWWaRYlijSImXzK1P+SrLLtEnbDGW6yE9kuST9YbMkU6ksi6KCrY+ASJAAQSRyEXcBLLBIiw2zE3ZS93TO7Xreu3fQ29u5e2anZ95T2prd6RvOec7pK/B3n/O8jIhYiGWlOBhzY+/cP3yRfpXjuhzf3U7AN9cDoy5en4uB2QqHxoOYGvQ0jNDgODlXJxcSUoDP73Ig7LNLHu+Z5QQWEznRlkXopga8EslAuLsQy4hDl45fO/W1WBDy2MRJzevRxcsCfAfH/HIe4XA/tU7ger/HUfTT/GhfVQFVoDUFlHm0ppMedbECCnh1RfSdAvqw67sp0w6rAqqAKtDXCtRzW7YzqOo8UzoVtbWnwHqBm3qRD+dnz+ELH7sNJVphK9rkjh04c/o07Pb6+bXN8jIbralUvoDZSEbiGwhsixcKalU6eNkdFlNLZPOSbcsiaHRuSgEui0XydgMeB3L5ogDeVM6Id7j1igEM+z2y9d7nvLT/BHynl5OS5UrISmhI4MdGFkjAPOh3CnytFTHR6oyaLz0Iawl06TxO5VmgzYZYuiC5sITJdCUzkoKZtOl8CYVSSVzLPGfnoAcHRwO4ftdA3dteju9uJ+CbUF+KoS0nydWxe9jbtAieOWjTbT0Zdov7mWvhxdNRifAgOHc7bfKT2bzE5XTo2m0WyexlrjIzk8XxXS5jMZGVaIgD435cPRkSV28/tU7gOsenUTr9NMvaV1VgeyigzGN7zHOvR6mAt9eK6vXWXQF92K27xHoDVUAVUAVUgQoFGrktWxWKsI6wibmn+0Z9kh2qrXUF1gvcNIt8+J+/9Fn8+rGHL+no//MP/4j//LcuzehttfBbM2cpnb3MtqWLlxCUYK4yg5eAlIWzuKYYv1AqM8+2KAW6BMDaL2zJLxZxdiUlDt5ssSwAcLc4NJ3i5jVjGng9uoTfWUyKS5Zwl0CQx0nGq9UCl91wEPMc5rum80UBgpURE63PKKSIF52njJ3lfQg5OR98+cF7JnNFiR0wwOSF4mOMqAUkPmDPkE8gZCOH6UZ/d5vNay19eM6ppaQAXkJ6olifyy4uWmYr03nbqFXvECC451wyAoQgnnpVN4LboMcOl4PwlxqXBaRzTpfiOYHndG+zOF8/tU7gujm+VmJJ+kkL7asqoAr0twLKPPp7/i5X7xXwXi7l9b4dK6APu46l0xNVAVVAFVAFOlDgcrgAO+jmlj5lPcBNK5EPTz32CP7rz14Kcu94/wfxyM9+tgYXOyn8RpcswT+Lqo0H3fC734X+jFzgln0BlIsJAbnZfBkjAbpn7QLipldScNosSBeKAvIIRpmvSzemkclrQ6ZQxPnVDGw2i4BgAuhEpoChgBNDXid2DHgFsBIIMvbAQvsoWOfLIpm9vA5zYOlw5LnsF6/rcxlOW2a3EkQSKleCQjvjHJqASfOlB7NhCXQJGZcTOUSSeRkfwSXJNn9w/KUyMOB1SGQE79lKQayN/u52cj9CbEJ4Am+HjTpAnLVjAbeA1kZZyeaX3twhMBHyyJxE07m14n3UjRCZc8i5pDO6Mmqj8sHRz3EyncD1rTL2Lf3w18GpAttUAWUe23Tiuxy2At4uBdTTN14BfdhtvOZ6R1VAFVAFtrMCCg7an/1mEQXtXHG99G8l8oHxDA+87wbMnD1zSZd//uujuPe268V1emY5hXS+IIAynTPiBbxOOl0NOEpXLMfhcVoxJBEHdgz7nViM5zATTUlBtB0DnouKatHdSlcrYd3pxRSWkllxzhK6skBZIluUolm8z3jII4CYLtthv0sgrGy5jxPaQnJYJVGizKJmaQGoLKjF7F9u119J5MSlG0vn5Xr7RvziqmU4Bce3msqJ2zZbYBGvIljgi+MhXCaIJAwmiDUb70knadBrr5sjWxlbsnPAI27gTL4kEJmuZUJzFggj5KUjOex1ivOdsQ2tZsOu19qpt347cQwTChPmz8cyMn8E3YS+40EPpgbdcDeIAjH7YcLysQvzwLXSjbM6XyphKuzFgTG/rKV+aJ3A9epxaZROP8y09lEV2B4KKPPYHvPc61Eq4O21onq9dVdAH3brLrHeQBVQBVQBVaBKgfVwkG5FkVuNKGhn7OsBbuiQPLWYrAtXK/v3l//Hn+BPvv2NS7r8X/y7f48//uM/Fuclx00YS5csM03pcK0uEMasXG7DzxVLkoHLbfLiTi0UMBPJCFgloCMUNhthJ4Hs6eUUVtM5uRchKMEnnbocx/4Rv2TlMpeWUNbMU11JGsB0JOhEQLJ0feIIno2mMR1JYyzokpzXXLEo/Y9nChgN0BnrE+fvYiwr4JGwkdm3hNS8n9NqkbzcuVgaLpsNDI1l3APvQbDNcdNZzJgBp80Gp90i46p0otZziq7H+qn87hJoExCbkQTNnMbtbtvvZK320sHLlwZWWCV/t7p4X6vfuX6Nk+kErldr0q9jb3Vu9ThVQBXoHwWUefTPXG2mnirg3UyzoX1pSQF92LUkkx6kCqgCqoAq0EMF1isDtoddvKyX6iSioFF2auVg1gPcMGe0XjxCtZDLS4u475b3oJDPX/RRaGAQ//jLYwgHvXUBbfW16KolpCUs3TFAd6YBgmsBYrpjY6mCOGfpoH1rIY7FRE5ctnRn0g086HXiCgJet0OclgSnhK+MYSAEpluYrtepgXe3+vOYdxYTEi/BP26HHUvxjCTdDgfoKs7KPZjxG0vlsZrJi1OYDl8v83FtFoHBM1GjiBfP28XMVol0cMFhtwhYZlQAC36FvHZxoVYWdqsuDGa6lwmpCYl76QCntq/OruKt+QQSuQJG/K41iN7IadxJ4a1OHMO9zOANeRywWawC39XB6277magO3rYl0xNUAVVgnRRQ5rFOwm7xyyrg3eITvBWHpw+7rTirOiZVQBVQBTa/Aq1s6a8cRTXM4zb5A2OBzT/QNnvYaURBKxmq7EonrsjqIVSCmytGfFLUioA3kSliz5D3IrdtreH/D3/w+/jJv/7TJR/94bf+DPd94jcl+qA6YqGejNXgkK7SpUR2LeIhkswhkjJgMo/N5Al5S8jkCkjnS+COeebfMr2AhbK4pujaXcuqLaEuWDX7ZOpht1jhd9kwH8si4LELGI5ncnhnKSV/T2YLku/rddklH5YxFNEUC6OVjeiGdAFep1XiGK6aCMLjtEvsA53MjIEgCK4GzYS4JxcSAq7pPJ4ccK/FOBC4spAbM33pcO62mS8e3jyfAB3NzLqlQzrkscNqtdZ1Gnfz3e3E7U/3N93dp5aTNERj97BX3NWE4s1apcuYecacs3bWduX1NYM3KVEnLDDH9Vwvq7jZnOjnqoAqoAp0q4Ayj24V3J7nK+DdnvPe16PWh11fT592XhVQBVSBvlWglaJcHBwhCV2D0VT+ou34zDVt1bXaLyK1o0mtiIJWNOnEFdkIWl0x7MPJxSTORVMtuxxfeOZX+L1P3n/JtFx53U345l/8M3YN+C4qktZs/qq3/hOKvnk+jtPLSXHXMo5hNVUQ56zNZkXYY0BPmwWYW80gmy8hXSgIGPV7HAIs6cRtFo1g9osAMJUtoFAC3E4LODcsikYo++Z8AvliEbliWSBryOuAlUG4AJYSGcnHXWJmrwVyjN3KTywSTbFr0CtuYhaNYyMorYyKoKuU0Jd/BnwOOYZQkm5fOoSZQUvAyziHdrJ2a+ld+eJhLpqRnGTGIXCMhMxelw2saEYwbjqNGTnBbGIeVxml0co6NfvQidufLnXGYbw+F5PM4UPjQUwNeurmF5v3quUyZp5yq+70at3ajaRots43+vNO4LrZx34f+0ZrrfdTBVSB9VVAmcf66rtVr66Ad6vO7BYelz7stvDk6tBUAVVAFdjkCjRyq9J9SFhEWEN3ZWVBrVbdqpt8+Bd1j+CVQGollcVsNCPb97lN3241ttnXcr916ozsJbhhDMHJhSTOriRbzikltP/P7r0DJ988cckUfe+HD+O+O25p6gKuPLHSKUmgSZBKMHhiLobpSAoEkjYrpH90zjLGgXoGPQ4Me504vZIENWFAwp4hn/zeyJe1NS1uxn5ITES+gGIRsFohERBOhxXnVhgfUZCib2xh37twl1m9kaQR2YBSmaZl0G1cKJcRlAxgAlobJsMeTA244XEaAJdzvsC4BxZOy5cE3NIVTCftRNgtBeAaFaPr5LtT68UD4TH7kC2UsJoyfhJSsyUvFHTjd5a5wbuGvJgMu0X/Tu7fidv/6NkIlpM5KYrH6I0bdg1clMdcvfDqfZc6AczmPM1E0rIedoS92Dvi64mLeiOfadt57Bups95LFVAF1l8BZR7rr/FWvIMC3q04qxs4pjNnzuDP/uzP8NBDD2F6ehoulwv79u3Db/3Wb+FLX/oSvF5vz3ujD7ueS6oXVAVUAVVAFWhDgfXMm22jG+t6aKMMVLMQ1nwsI1vtz6wkkcmVxJHJrfosMEY3KaElIwSYAVvZOsk27SW4sVsteOt8oi0HL/v/93/95/j2//LlS3R/4NOfw7e/96eX/L5YLqNQLNUt6EXISuBIuDkScOLN+TiWUznJ3fW5rKIbXeBcbyxuZjpNebx5beoScNkxHHBJEbWD4wFx4jZqJlwmkM0WyhKhYEYpENiy8Bh/0rnLjGCz0VXM+y0ncrBLJEQZdIvSZcwIh6DHhlyhLE5eFntjvIAFFhn/+XgG08tpWQ+85sSAB/tH/Rj1u1oqRteOg5b9rQdYGfexEM+KQ5fj5nj4d+oZT+flJ4Eux3BwLICpAW9Hrvt2nO2m258/eX9ONF3bfqe9bsG+ZjsEOgHMldnQ/Rwns53Hvq7/T0EvrgqoAhuqgDKPDZV7y9xMAe+WmcqNH8iPf/xjfOYzn0EsFqt584MHDwr43b9/f087pw+7nsqpF1MFVAFVQBXoUAETdBLSkcuYrdc5oh12r6PTGo3JzFUlYIylc3j+TASLiSyW4zk47RY4uK3ebhUHL6ModoQ98Lnskg87esFdanaqk+3QvQI3nUY+xGOr+NBNVyGTTl2krdfnxy9eeB38yUZnrFkcrXpdEIAHvXbZen8ukpLYAEJPAtxUtohMoQiXzSqO3JVkTlymzMJlcbBcnoXOjIzaTKEgub900zqsFoS9TowF3Tg8FcSwr3Fuq6n9WJB5rUUQ1CeyeYl9yBfLyBaKct9hv1MALRsx9Xw0jYVEBpl8GT6nTcBuNF2QvjBCIuiyw2K1SpE1t82OXUMeWRO8QjSVw3Iqi3yhLP38wJUjkr9br3Xq9Ob1WnkZQJcyc4x5rNl4TxaY4wsKwt2rd4S6crB24vY31wufIQTp6VxJnNteJ4vxtb5DoBPA3GkkRUcPmnU8aTuPfR1l1UurAqrABiugzGODBd8it1PAu0UmcqOHcfToUdx5551Ip9Pw+/34yle+gnvuuUf+/cMf/hB/8Rd/IV0i5H3++ecRCPSuqIw+7DZ6tvV+qoAqoAqoAo0UaOR27RflmrmSmZHKbez8GU1m5e/MYaWrM5UvYcBDWGcRVyeBlENAr0XALmMbGB0wEXKvuXk7KebUS3DTaeTDN7787/Evf/+3l0zr177zJ/hPPv27En1AFyvjDFjsihm1HCsjFqrzcVlYizCYoDbgtksO7GIsJ38neMzkS6Iv9SQYJjil05aOUwJWxh3QhRpN5+QFA2MFxgIeXDsVEr1rtUr39HjQI0D5xGwM87G0nEN4zxgGGneDbufaJVgQjZpFM3TsMq+X4LaMTLGIQrEsIJ+uV8JcxpMw2oHzbWTxWgScUhu7zYJrp8LikmWcQ6PWidOb12tnbvnd5R/ei2NP5wpYTOSwc9AjhbaoaTet2feqVuYw70f4z/knbDdjJdrNKe4EMHcaSdGNRutx7nYe+3roqddUBVSBjVdAmcfGa74V7qiAtwez+L3vfQ+f/exnMTo62oOr9ccl7r77bjz55JOw2+144okncPvtt1/U8e9+97v48peNbYxf//rX8Y1vfKNnA9OHXc+k1AupAqqAKtDXCmwFsLoZJqARDBHolS/g9HJKHKaxDGFiWbbxE2DS8el32zBC16gF4vzkcSzSRWDIOaIblaCP2/jp6jXhI4FfvlTCVNiLA2P+ulCyUqNegZtWXJ615ub4S0fx2x+/55KP9l91GP/r3zwoeiQFwhpFw5g3a+bLEtgR0hHk0vH8zmIKLrsFgz6XgHCCvFTOyIVN5YrieqVrOuRxrMUY0EkbTebl/kZkgwWJTF6c1ISsOxnTMBaQXN7qVssVy2OOno3itbkYQm47bFar5MAyvoFOYTZCZDp3z0czOB/PCtj1uR2yDhjxwMJvzNSdGvBIdAPnny7YvcwG9jrgtFplXby9GJc+7hnyY2rQDbf94uiOWnq36/Tu1J1t3ruTFw+tfIc7cft3ck51XzoBzFulEOR2Hnsra1KPUQVUgc2tgDKPzT0/m7V3Cnh7MDNWbkdzOHD//ffj85//PB544AHwd1u1Pfvss7j11ltleF/84hfx/e9//9L/EVEq4fDhwzhx4gTC4TAWFhZEo140fdj1QkW9hiqgCqgC/atAL8BH/46+tz1vxRV7diWFeDqH6UgGi/GMbBUn9CNMo7NU8lcvwED2jhAyls6L05RwMl8qS04si4AF3A7sGjRckQtxbvcvSnbsvlHfJVm99UbaK3DTaeTDlz79Ubz96kuXdO9L//vfI7znaoHfQ14nhgJOKdJVCQ/T+aK4cM9FkhKPQAfn4akQfE6H5NQWSyUpfLaSMkA6i23R/VvZeA3qS3DOeeA16Pjk94LxB3Tw7h32X+SWrpfZymiGp95axquzUQHRnM9I6mIH7/lVRjPQgZtFtliE3QI4bDZx/7LRqc3+D/ic4lLmXLscNgQ8dunParogfZxbTRvZvEGPOGSbOXh57XaBK9dTJ/nKlfp28uKh1W9lJy+lOjmnuj/b+Zm5ncfe6rrU41QBVWDzKaDMY/PNST/0SAFvD2bJhLnmf4DTyUtH7+/93u/h0KFDPbjD5rrEV7/6VXz729+WTh05cmQN9lb38jvf+Y5EN7A9/PDD+PCHP9yTgejDricy6kVUAVVAFeg7BXoF9vpu4OvY4WaQk1mls9EMFmIZAXp0gZ5bSUu0AIuoETAO+V0IVWznZ3crnaYDXr7gLUvhNcY1TIaNqIZuQVq34KYVuG1CxkpAeuSn/4T/8NU/vGRWrrzrAdz/B9/CoM8BDyMVLuTREmo6be/GETC+4dlTy1hNFTAccOLaqSA8DidmV1OSt8s452gyJ7m61QXqpD8oS4wA845ZsIzRDSyKRmBeKluwf9SLHWEfRoMucflyDhmb4HFaMeQ3oDMjEgjbCUQfPbGAd5bi4gzm8eTJjJZgBm8yU8R0JIVoOotIinESZRTKZRkbj3XbLciVy3BabeLkZp/8bgcmQ274mLFbLqPIumFgQbOixDbQsbxn2Ne0GJwpcDvrhGM9uZDE2ZWkjJMvFdptnb54aPc+l+P4XsDiy9HvXtxzO4+9F/rpNVQBVWBjFVDmsbF6b5W7KeDtwUy++uqr+MEPfoC/+7u/w+LiolzRhL10un7hC1/Apz/9acmq3QrNjGfw+XyIRqMS01Cr/frXv8Ydd9whH33ta1/DN7/5zZ4MXx92PZFRL6IKqAKqQF8p0CxGgOCR29r5P+Jrgay+GuwGdbaVmALmxEZSOfCn6dxlHACjBqg382EZQzAR8qwV5DK7bzpNCRUFCAIYD7klq5UFvk4vJ+F32yXr9KqJoFyrk9YNuGk38oFr6/xyHF/46E1IxFYv6q7N4cJ/91ePwuELoVwqSw4xoafLZlsDq0ZMQhrnImmJZCAEvXoiKH9fiGclc5eFzeh+DjPe4ELhOsY9lJjna5EkDIG2/Nuw3yWuWDp4qTfP47/p7iVkZWRCrZxXcxs+tTt6NoJXZlaxksjJdRmnwDiJsNeOxVhW+raczEs0A2/OCAYWzmPcAueMa4HZuoTIbAT4g14XJsMeWTtcN6upvJyzf8wvn3EdtNraAa6b3cHb6pj1OFVAFVAFVIHtrYAyj+09/52OXgFvp8rVOK9QKODBBx/EX/3VX+EnP/kJ+G8T9Hq9Xnzyk58UVy8BaT+3kZERLC0t4brrrsOxY8fqDiUSiWBwcFA+/9SnPoUf/ehHPRm2Pux6IqNeRBVQBVSBvlGgHaclt70TKm2VivC9mqRaEHQmkhbX5/RKWjJyCVsrG885tZQUPZm3y+3ysUwB2XwJPrcNs9G0AEgW3dox4BU3aWWrdJpy2z7/m4j3IOAd8Tt7WsyqG51adYbTsbqUyMLrtOF73/wqHvz7H1xy2w9//r/HBz/5e/L7dK6EQsmIqSBkZWRBNl8W9zNjGAh6GV+xc8ALRiVQY8YgEOAShhOIlkqErWXkCkWJQrDQFUyoShet3YqpsAf7RvxI5AoCW3kNglfGIDAKg9cgYGWExqDfKa7r6saiZKeXE3hpelVA/Hw8g6V4VrJ9c6USYmnDuet1WsG/Ml+ZEQ1+l00ygun25d8LQngJ/G3YNehByOsU4BzP5rGcyMkau3I8iMkBN7wV0RXN5q4dB+9mzeBtNkb9XBVQBVQBVUAVqFRAmYeuh04UUMDbiWotnMPM2b/927/FX//1X+O1116TM0zYu2/fPgG9n/vc5zA5OdnC1TbPIZlMBh6PRzrErGEC7UaNruVkMonbbrsNdPS20vgwa9Tm5uZwyy23yCHT09OYmppq5bJ6jCqgCqgCqkCfKtAsRqB6WLWKSR0YC/Tp6Lvrdr0YA2pExyjjAggb9wx5L8l6JZxj/i4BG92bLKi1kswJSAx67JiLpiW2gVyPcQJ06loFT77bWJSNUa0SU2A36hNw2zxhJYuN7Qh7sXfEVxM8tjPybly85n2aRT4YLw6KmIlksDR9Ev/lf/r+S7roHxjBf/MXj0ixMrvdAK7UkS5nZs5OhjzwumwSecFiZvF0QYAor0sXLAEvgTNVpJOWfSqWS0J8S2Vm31oFqhZRhstqxbi4ZY0IiKsmA5L/63PaMBH2YM+wF36XQ85p5I42ndynlhJYjGeRKZSwnMhKlm0klZX5JdxlpANfnBSKBM5l+FycbWO+md/rdFjBOA5+xjxe9guWMs4spVAsl6UI26HxAHYPtb6jrd0MXvaFwLrRi4tG66rdom7trFE9VhVQBVQBVUAVaFUBBbytKqXHVSqggHcD1gOLkv3lX/4l/uEf/gGrq8Z2PsJeZvfed999EuHwiU98omdFyJIdJGEAACAASURBVNZzSIygYMYwG2MnfvjDHza83djYmBRYY8G1V155paWuVRcTaXSSAt6WJNWDVAFVQBXoWwVaiRGoNTgCTDpUWfO0VxCxn0Rs5kolao2m84gk8wLv3jMZuqToFbe7M0pgXgAvBFTSiem0WwT2rWZyAgLp4mW6AvNiGQ1QCXm5vT9fLGNIAK9F8lhZiIvHXTHiQ9jjRDfwvRHAptM25HWIe7UZ5Kyc21qwmPEHJ84u4Sc/fwTPPP4Ijj79KOZmar+Q/q3/9n/DNff8hoBQgk1CQ96f+bMTYbcAWoJzAmPCSMJx5t2WyiW8dT6FaCqPbLEg5xPy5gsl0BvrtABWm0XcswStNovhlmXmL925Vwz7sXvQB7/HjqmwFwfG/PJ5K63yJQpzlQl7GftwejkNS7kMv8chxdN4T96b3y9GOnBuPS6rxFAQKtOpzHsy6oFOYsY5cB0xa5jr5L27BzDkaz0XtxPgqs+MVmZcj1EFVAFVQBXYzAoo4N3Ms7N5+6aAdwPnhu7Xf/qnf8KXv/xlzM/Pr4Fe/mVoaAif//zn8Yd/+IcYHx/fwF61dysC1V27dslJv/u7vysu5UaNx/Icupbffvvtlm6mgLclmfQgVUAVUAW2hQLqxmt/mqOpHN5ZTCKZywsszOWN7fwEnnRaEs4RLs5FM6DDlvBtPOiVXFSf890t/I0cvIwd4LniNrVYBBKnciXYrVZxqBL00d1pOngHfI613F7C3et2hsXVy3gBMw+2nZHWA9ipbAFJyWIuCXCms5VgeSzolqzfejEF5r2r4e7C/Bx++pN/wz/+y7/iyccfQzaTbtrNa+/8EL7wzf/TyFlgVEOhiFgqjx0DHolj4EsHulrPRpJYiufE+cy+LSUzAtS55rN5xiAYhcz402IpizGAY+HvCH8l/1ZCEYxsY2bujgU9ODQRwNSAt61c48oYlNlIWgqrMXd5MZ6RPF7ehFCfcJ7Zy5F0TsAt59hmMYq3Bdx2gelM6qATmf2mU3vkAtzlTzqKdw35JAqiWevmJY26/pupq5+rAqqAKqAKbGYFFPBu5tnZvH1TwLtBc3PmzBmJa/ibv/kb8O9s3HZW2fg/kNxuN771rW/hj/7ojzaoZ+3dZiMcvBrR0N6c6NGqgCqgCmxVBfo5T7MXkQHtziudi4Rzr83FxEFJty0hG6EbHaJ0sxJ6shEgvnE+jtNLSeGQdNPyM26jZ5QAW6MMXl4vls3L9n2/0wYbi2yVy0hkiuI4tVgtAgNXUjm4CfpsBJMWKRy2a8iLQ+NBuSehYbta1SqMxmtwzIUS4wNKiCRz4n7lUDhuv9OB/aM+hL0uiUsgAK0Ey6YTOJrK4pVjL+KJR36KJ37xM7x+/OV2pwH3/sZv49/9T/9B9CCkJICdi2XgcdjkDyHtfCyLaDIv7l4eRx1cDgteOB0RV3Q8Y9RxYB/dF2B5oVyS6Ae6aG0X+CgxOnONeQ26g3mdW/YM4cZdA6JzO83UlYXejs/EBDTPx9LS/0yhDKcVyDEngrzXRrBr5AQz15fzzbGxb+x3OpcX9Mw5INjlGqRzl7EUHBNBd9jnqJvF223MSju53Zx7eRFSLAko53g6ffHQjt56rCqgCqgCqoAqUE8BBby6NjpRQAFvJ6q1eI7p2GXRtccff1yArgl1Dx48KNEMdMEeP34cP/jBD/DP//zPa4XZCII/85nPtHinjTtsIzJ4m41GH3bNFNLPVQFVQBXYGgrQIcgc0HPRlDj+6MJst7VToKnda9c6vlmOazMHaSd9qHSznlxMCJSbX80KYGUWKoEtoZXkt9qtGA245O8soLaczGJ+NS0AbjTkQoAOy0HfWjfo4qTblz9ZrIvb9wmOmcEbzxYEPoY8RsQAIx/yhTLypRLSuQIS2aIU6gr7nLJtnwCQYG886MLNe4cESnKbP2McKt95NyoKVgvc0S3MaxAmrjLeoFCSyAg2uk0J7ggVGY1A6DkZdsPjsGP3kFccx6+fncdjv3gUj/38p3jqsZ8jurzUyTTIOS63B//Xwy/C5zcynzOFApKZoswJs4hpXKUWsXQeNliQyOelaB2duAzZ5XGL8RwSuaJENtCBTKcunbDG9RjNAHHChjx2uAjXCYIdNpkbuqJv3jOED1412tH3hfq+tRDHyYUkTi4kMLualgJwzF5mvi/nm25wD9eU2762lsh9zTmk3lwvmVxB+rd3yAe30yjCZuYK0+1L4MsxjIfefanA/07uFXCt9SKAWtLJzjXG/vKlAF9SeJyGC9lcFwTl2lQBVUAVUAVUgculgDKPy6V8f99XAe86zB+LiRHq/uhHP0I8Hpc78D9YWZzsk5/8JH7/938f73vf+y6588mTJ+Xzl156CTfccANeeOGFdehd95ccHh7G8vIyrrvuOhw7dqzuBSORCAYHB+XzT33qU6JHL5o+7Hqhol5DFVAFVIHNrwDhC0HT2ZWkgBcW52q3EV4mcwXJ4aWDM+hxNiw41e71zeObZd4SQhKiErbWcpB2et9KiMXiX3Rd0oFJgDsccBnuy3xJXLLsA92sBIzMg42lCwJvCfFo4yUEZVTA5IBbMlV5DouEMYOXzstcgaW9IG5HwneaSIcCLoTozvQbc2MCTWrOfF82Ft5ixMCgz40D437sG/bLfdmvLOMLLsDZUokxBBbpZz2tqrfehz0OzK5mwGgG9pHjJjwk8KSTVLJik0bhMmbTsl4Z+5qPzOLXv/w5nn7sZ3jxmV+hkDf62kmz2uwYHNuBK6+7Cf/V//gt+Lx+0G1LKGoCb0YdcD2XShA3M6Mygm47zsdZhK4ka5R9pPs5kmasRlGOYSyD1VKWrFsCcc4JYamPsHzQK9DacAlbkMwXMHEhouEjV0+07eA1xx5N5vDo6wvyciWWzUmOLmM/xK3ttsNrt2HA74D/wnrm/BL+MhaDY+DcLiWyOL+agdtpx/4RP/aP+qWPfOHC7ObVdEFuF/IasQ58eeO2G9m9vQSul+t72ck60nNUAVVAFVAFVAFTAWUeuhY6UUABbyeq1Thnbm5O8mgZw/Dmm2/KEaZbl7CWUPd3fud3EAwGG97xZz/7GT760Y/C5/OtweEedbFnl7n77rvx5JNPSh+j0Sjs9nfz+ipvQtB9xx13yK++9rWv4Zvf/GZP+qAPu57IqBdRBVQBVWDTK9CNg5egiACTcDhfKmMs4MbOQY/ATQKlXjppGzkFzcxbOkkJ53rpFKx2s9IVSgjIvFfCXTOOgf89wiJh3PZPlycLnnlddinOtZzIYyGWEThIRymzcu1W20XxBXRjEkByPgrFIrwuhxQJoxt494BXnL/uiv8WIHBcTBCqFuR6dK7SWUr96cQmDEznjQiJdI6xA4arsplWBLanFpOYiaYElDLTlpm11H8xnr1QcMwp12EzgKhREOx8JIGzJ47h7ReewItPPYqZ0ye7Wv8DQ8O44wP34fBtH8DgwZuRKjvleowdoMaZXFFiK3J0NBcIcIv8L8O1e9I9yvXA/hGIFkolAefUir+j05fuYjp2CTw5Ipp4ORZehXM4FnQh6HZiOZWDFWUpYuZ32XBoIojbrhjG4R2htl9mUEvmN78+b0Q00JVNkF9ECYlMQQq8EZ6b2cAEvgTydHATzi/EspL9/PpcXPrPGI7DkyHsHfHL2LmGBPJKgb8cVjN5cZfzxYcRMWEA316/CLkczvquFpierAqoAqqAKrCtFVDmsa2nv+PBK+DtWLp3T7z//vvx85//HKVSaQ3qhkIh/PZv/7aAXQLeVhsLkTG+gf8jpljk/xjYfO2rX/0qvv3tb0vHjhw5gltvvbVmJ7/zne/gK1/5inz28MMP48Mf/nBPBqMPu57IqBdRBVQBVWDTK9BJBi8B0kI8KzmsdJy+s5iA7UIOLQEjXaq9BEjtZH0ms4a7sVdZn5VuVpfDKu5JOi1Z7IwFt6qLlhpuVqM4Ft3Q5jZ0Qr2ZSEqcvANeJ3wuu3zGQl6EiXSY0mVLcBpJZo1cXbsNPhe36TtwxbBfoB9bKs9YhoJoz2JrhZIBd3cNei8UDStLTi6hMd2nxv0Mt63ZCKRracXj2Y/plTTGg26BoLPRjABq9pNjYh9NF/Hi0iJee/ZJvPrMYzjx3JPIJI1dVZ22Hfuuwt4b78YH7/sodhw8jJGAR2Auoy6oIbUn1BUYCwvShRJc4qR2iluZwJPHc6iGG9oiERacEwJ4rgtGMXB+uGYJUQmyi7QdyzUNRMzfE6oGGNFgs0t2L8ErneF0NI+HPbh59yCu3hEU6N1qq1zLx2dWBVJzPglvOR/sF8EsIyHoQub6IERnwT3eh5ESjO04u5RCtljCwbGAOHOvmwpf0g++gCHQ5osCWY9Bp8SD7B7y9fwFTOX42817blU7PU4VUAVUAVVAFeilAso8eqnm9rmWAt4ezDW3z5mN0QuEuowkYMG0dtvs7KyAYf4Pnccee6zd0zfk+GeffXYN6n7xi1/E97///UvuS9h9+PBhnDhxAuFwGAsLC3A4epNnpg+7DZlmvYkqoAqoAptCAboIF+KZNahHx2C9Rmg0x+xPgqhUHtFMHol0QSIHBr0ucVcSxNEt6XXYMRo0Cioxi7XTzM3qyAACLdNBWquf3RaPMq9JR2Klm5UQkREN5+MZgYTMN613f7pdCSE5fjpBCXbPraRwejkpIJKZuTvCbgFt/O8RAlfCy7lYVnJV6SolpCTYG/A4BDqagNZwdlrgsFvgsNqkaNsUwbrDLqCY+bzsJx277WjF4lcEoYSYLOS2Z8iL87HsWj4w81NZeIx1DV56+hc4fuQxnHn9JZRJSDtsbrcHt971frz/3o/iypvuhiUwiFemYzJ2Zhsz45jeWgJYAlC+VDgXSQrcZDQDwfVwwC2xEHTfso/xdF6yiTkBI363xBUsMOc4nRNHdCpTQBlWcXoTCDOztiS/MVq2WBToyz4QxA952Q8rbHarzAXBKyMobroAeE0XdysSVK5l9pexEEvxrMyv322TyA3ef62QnsXIBOa8sr/xTFHWCr9/BPDM1r1mR2gtvqNWHwi8p1dSgKWMqbAP+8f8sq60qQKqgCqgCqgC21kBZR7befY7H7sC3s61WztzfHwcn/vc5wTsHjhwoAdX3PyXMGMaGM/wxBNP4Pbbb7+o09/97nfx5S9/WX739a9/Hd/4xjd6Nih92PVMSr2QKqAKqAKbXoFqkMlt+bUAKqHSTDS9lsXKbf8EbgSCzJ31O+0oiiPy3bgCgl7mmE6GPbKNnO7eWq2e66/VvlVfk5B3JpIWByqzgfeO+AQ0t9OqwTcTEs6tZKRIF7e30xlbrzFXl7CU0JSgleM4t5LG6ZWEEavgdWPHAB2+zrViVPy9mdlLiOiTQlUWhL1OgXrpvAFSWYRLogLcNnH2EpyLs9TrFNduZbxC5TzSCUpQSM8wPbCMcaBT1NSKc8WoAoJAOj2H/S5xzp6PxPDys7/CW8//Ei889QtEFmbbkfGSYyd2TOHuD30Ud9/7Edx8211wezxyTCpvAPWXz0UlWoK5sxwT1w/dy8wSnlk13MSMIGDhNI6BoJQYmNCdfS5fKO7FsUkshRWYjqQRE2c3IxuMMXI90BXLc6mBmeXLqAeH1SIwmwaDYZ9TnNEsdMc1z+sR8Lbr4K21lqvjLzindN1WFtIjBI6mjagNgn26eoMeh4B9anNg1Cg216jxpQthPR32zIBmITxtqoAqoAqoAqrAdlZAmcd2nv3Ox66At3Pt1s4sFAp1c2h7cPlNeYmjR4/izjvvRDqdht/vB2Mb7rnnHvn3D3/4Q/z5n/+59JtxE88//zwCgeb/gd/qQPVh16pSepwqoAqoAltDgVZcstzqbWax0glpQRkJ5qBaLAIcmTdLsEmIZmbk89/MDZ0MeWQb+p37Ry6CvM1yO+kY5jFmZEAjd3H1THQDtWpFV3B7P/vRzMHLfnD8LExGwEiHaMhjF/hKZy+1o4OS7lAjDqAsIJduVf6OrtKlRAalshG9QHDJHFjqIK5Spx1Br934WZF1XM+JTXAaSxUk45fuX7NVXqtYLONsJAkrjOxedy6Gl3/1C/zs4Z/gpWeeRD6b6XihW6xWHDh8A+79yMfwwfs+hgOH3nNJtIV58WdOLYHF0o7PxEWjA2N+7BrwyRpim1tNC8BmrrHHYRVn70LMiMQYDbgw4HNh77BPCokxf5YvFDiXc7EMisWSzAlNwfwdwThBqYGHjZYrFpHMFOFzWcURzRcWboeR8zsecgl4JUyfHPDgxl2DbWXw1pqf6pcmZgE7FsxLZUsSK8E5Y+bu2wtJiWiga/u2fQNSUG9H2Mi8Nls9iM81Rvc4vz8EvFdNBNvODu54AeiJqoAqoAqoAqrAJlRAmccmnJQ+6JIC3j6YpM3axR//+Mf4zGc+g1gsVrOLhLsPPfQQ9u/f39Mh6MOup3LqxVQBVUAV2PQKNMu5JTBjFiudkwSGHrtNgCEJpdVGOGmVbe0EcQRgZjEvXncpweJcVnHR0nFKuESIeS7CbNCSODOZ+ypb5UtluYbkn7rsmIlmEM/m4bHbcXDMXxcM1hK4G6hVq/gc4dnppSRWktm6GbyV/eBxBNwEiISKHBddsnSdEuTRAVzpsK0ErszfpQOZAo8FPdg55BGgKyiS17IwE9a6BunqAWnOF+GkgMsK+F4JlJ02G2yWEl46+iKee+JRHPvVo5h+67Wu1qzLG8Du627HxDV34vrb78aVe6Zw056BiwrFVd+A64r6sngYATfB5rDfjT3DXgHZNN7ORdNYTeekmB3dtHQ8U1MeS3C+Z8gnLlW6dFcSWSwmcuJY5vqlZm8tJGSN8RyCUbpyqSMbj2MMBBvdvUGPXVzCXMPykiLsRjZfFPfuleMBXLMj3LITtlHWdXXsCb8HHBu/MxwzXdd8WXFyISm9HA96cN3OsBTAM+MhWoH48XRB4jumwl4B5+1kB3e1GPRkVUAVUAVUAVVgEyqgzGMTTkofdEkBbx9M0mbu4pkzZ/Cnf/qnAnL5EHI6nQJ0mUH8B3/wB/B6e7/NTh92m3lFaN9UAVVAFVgfBQiRziynxMHJLfLcEk7QRBcqIS23jp+LphB0OaS4F0GU6QglEAu47bKVvrqY13IyK5mwIa8dV4z4MREyMnQJ1KrvY4LhVK4o/Ygm88iVivA5HFLQqp28U6pEwNkJ1CJ0I1A7u5IUJyeLi7HRhbuSyuL8albyXhv1hw5S3p/F2agT3aKEhWMhl+QVjwRdNSMTzNltx4FcDaTp1GRfWQxtNVUQUFkN3yPRVZx4/mm8/uwv8eqzjyO2stTVwhrduVcKpF150/sxcfA62J0OLMcJ923YO+zHjbvDAlTrNVNbOl0lx7lcgtNmF9DvcthgtwJLiZxkAhOYEnjT3exxGS5dOskJeAlg6bZeTmTx5vm4QFvqQbDL/N7VNKG7Acp5DdMVzrlhcTqud8ZgsK/xXB6xVN5wS3scEs0xEXbj+p1hXL0j1HLsR60XBpU6VBYuZGYu3dqMP5HsZelrGfPRjEQ1TIS8eN/+YQQ8Dnk50irET2Tz8Lsc2D/qx75RX9vfpa4Wh56sCqgCqoAqoApsMgWUeWyyCemT7ijg7ZOJ0m6+q4A+7HQ1qAKqgCqwPRUg5Kp21vJ3RjxDAcVSSbbAR1J55ApFcUoS7A76XHULn9FJy+xeAmHmlxLw0jVJFy+dv3SysljWJWA4lcUbcwnMr6alWBlzfKu3pDebJRaPIzzbNehrC2rVA3J0Sk4vM6YhDcYasF8cB0F4dWMcw2w0LUW5mKdL0EnIyi3yLErHInSNWjsO5Eogzb7QGc3fEaCb2/4J3+fPncYLTz6K5596FK+9cASFQr6ZhHU/t9rt2HfNLTh82z24+tYPwD86hVg6L3EUnGtC14VEVuZ416AX75kMyfzVatXuaKulLBnGjKYY9DsEdjIbdymew2o6Ky8SRgKG9g67FWGPHcvJvMBZrieuselIShzBXLvsA/NruYbnYmmUSswgNqIaCODtFsMt63XY5HpBt13majHG9VMSuMvzdw35sHfYK+7dA2OtR2PVe2FQrQWPoyuZgLey5YtFiQehe5l9uG4qDGrWDOKz7wTbHCPjLGwWq7h/CajVwdvx0tcTVQFVQBVQBbaAAso8tsAkXoYhKOC9DKLrLbtTQB923emnZ6sCqoAq0O8KVGbj0v1JSEanoMNuwYjfJdv9Yxkj05Xu1lpF2So1YFyB6ar0u2ywWW3YPeTF7iFf3XPpTqSjmC5Mgjg6D5mbSljYauvUwVtrS32aURKpAk4uxpHIGe7itTxdp10gtfsCtCWcpWbUkY5Mr9MKr9OBkaBTCpgROLfSWu1/JZAmlHQ6rFiM5WC3FLHw1it48alH8cKTj2DmzMlWblv3GHdgALuuvwtX3Pg+HLzxDgQCQcnKJRSlHmxhr0MiEKLpvLhoCXyHAx7sH/Fjz7BPnLbVjXNt5hszziJbMJy0zNAd9DhB7cWtuprFSionbl5GFVRqzjXGgmRjQbesEb6AeP5MRPqwksxLli6BMyMr+NKiXCohUzRANO8V9jjgMR29ZQvS2TwWk1nYCJGtVhyaCGDviB8HRv24ukHBwFriNXPwVp/DPvEPi7/Jd8sCHJvmWHLivL1hZ0jiJ2pB/OoXJczxJXhn/jDdx8zDvveqsTXnclcLQk9WBVQBVUAVUAX6VAFlHn06cZe52wp4L/ME6O3bV0Afdu1rpmeoAqqAKrAVFSBkomvw5GJCYhZYBIz7xluNKTA1YVxBLJtDNl+WvN2JoFsckHTl1mumq3M5kcG5SEbAHf8wC7WVqIZ2HLC1+mAWxeLYadC1wIpMoYgoIxpihIncSl8UdyjhICEhowSGfE4pkEbncbZYEv243Z/OZ/Z7asAjW/1baa06kE0gfWYlieNvn8Przz+JV379GE489yRSido5/q3cn8eM7T2EscN3YPf1d+I919yAAnXIFcVBymgOFoeja5hjDosb2y6ZwwTcjPUI+4zCXjsHjHzcWmNnlMS5lQzmxV1rOGvHQ25x4/In75UvFPHOUhKrqbxETjCDthJmco1R7/GgWzSmQ/XMchKnlpLidOX8cE7SeXp1CZGLhiu9XEKhWIbFajitCaAZjUBYTEhMgM1okWumQhIBwQxpvmhopzXK4G3lOlzLz5+OSNwI3dFjQaf0kRCfWb2NHPS8PuMZqAPd9szfvXIs2JYDuZU+6jGqgCqgCqgCqkA/KaDMo59ma/P0VQHv5pkL7UmLCujDrkWh9DBVQBVQBbaBApXuQ7oJ6X40CogVMRJwirvQwkJijCqo4c6kRDx+MZ6TbfEribwAuImwR6BnrXgDU1Yzl/X0Ugq8NAGbCf2aSd9Ohm2ta9F9e3xmFc+dWpbs02KRULAk42V+MLNZ6UqmHqUyC81ZJC/WZjMKoDntVMWIBhgNuTAZ8gqsZJ5rq60VBy/h3/Hjx/F//+hf8OMHH8TrL78o7tROm8PpxlU33Ymb3/chTF5zB1atAXEiE4ISdhLqli1AIpOXsdvtjDiwiBubUJXZxIxX4NyxEYTTrc3s2KlBd81Ca6aDl4CXAJdzbMRyXAzzG2UgVzt46a42iwNOrySxnMxJXxi3UC4ZRdno6F1N5cQpm8sbjl6SU4eN/Qb8bhsOjAbEPX5wjD8D4irupJkvDOhUJoQ2s39buZbkY68kJWKBL0g4F9JRWJo66Dk2xoWYbTzkwr4RupF9LWcIt9JHPUYVUAVUAVVAFegnBZR59NNsbZ6+KuDdPHOhPWlRAX3YtSiUHqYKqAKqwDZQoNJ9SHBHV+PZlQwKxaJkpJqNAJbZqD43i1S9CzEJIM9F01I4i1CKMHTE78RY0CNb6Qna6jVm3s5GMjgfS4trlq7NIZ+rKRgm1JqJpCXzd0fY2xHMWknk8P8eO4fzqxlxMNPR6bEzKxji5GVBrkLRKDRXJGzj/5WNYl9Oh80Ym82CibBXCmXdsIu5p4Yu1VvwCbmrQXcjB3I6ncYvf/lLPPjgg/Ln7NmzXa3E0MgEdl9/F3Zf/z7c88EPYHwgBJcA0iJen49JVAahNsfGTGGnzQaWACPk579HAy4BjYNeh4BRglRqQ8wcT+fF2UxAStBby8FLh+47iwn5wyJoV08EEPA4L4njIGieXklhIZ4GKfNYyMjhpVaMIDAzeCtfHNBJHEvn8MZ8Ai6HRQq+MaqALyvY/2gqBxYC5HwT4DOzNlcsy9rhC4V9I37ceWC4IQzlfHLMZqQCAX/1fLLvpxaTmImmxKXMtdws2oSTWrmWeZ90toiz0RQS6cKFdV3fTcxz+Z3lSxojSoXw2iZOarqqdw21HnfS1QK7sOabadTtPfR8VUAVUAVUAVWgVQWUebSqlB5XqYACXl0PfaeAPuz6bsq0w6qAKqAKrKsCdB+y+Npzp1dkezxjBwjlCCwJ17hVnpyWGabMK2VW76DPKSCQeb3n4xmBnHS8En4xqqByK32jzp9dSSKezePt80nYrRbZWk7wVg8ME2rR+Uo4uWPAjbDH2fZ2dMLop95awunlBJ59J4JssShQrkz4VzKgLmEgoScduk6r1YB7VqvAW+bQDvicuGo8KNCR7mb2mdCwVhEtjp/O2KDHvhY/Ue1AtmUieOihhwToPvLIIyDk7bRxvg5e+168964PYfQ9d8A5ukvcoAT04yGPEYcRcInrlVv7qefcalo0z+RKKJSNcXM+mGnLGIYBj1OiAgiGQ16HwEsW5ZuNZgSID/ldODwZkgJm1TmxhJ9vLySwlMyKU5rF2BglYBYCI+iPJvKIZfNSuC6dN4qR8XOuI5sVSGZLF8U6mNqkcwW8PLMqGcFWGxByO/CeidBaYT+uY8JovrAgXGbGL383FfJg0O8SB289125lVjXXhNn4EiDodmDQ77wIDL91Pi5ucMadcF1Q50aQt3otO602nF4xIPFcNIvJkFscyZy3ak25/s0MaMaGhEh+rAAAIABJREFUeF127Ai5MRfLiHuYgJdxE40c9J2ur8rz2tWoF/fUa6gCqoAqoAqoAs0UUObRTCH9vJYCCnh1XfSdAvqw67sp0w6rAqqAKrCuCjC79Mg7KwI8GZeQL5TgsHM7vkPiGQg6WRiLAJQFt7i13WWzYcDnQCJDtysBqUVcn3RIEvCaxbAaOXg5KG7fPxdJYzaawkIsJxDvyrGARAHUAoXMfSVI5nGEpnRgtrOtnrEDx2dXcfxcFEeno8jSkgqCTAMAEv7lCiWJmyiXCTE5JmM7v5tFwbzM47WLu5RuY4fVgkg6BxusGAm65HhCL17D2GRvxAWwr0a0g1UczguxDE6eeAknnvkljjz+c7x07FhXc+z1B3HDHR/Ae+/6IG644x7YvSGsZvICbumhLsOCHWG3/KyE76eXkgL3+ZM5tXTxEtxmCiUwrCBZKIGF8xirQK3p0OUY6Orli4ATc3EB3lwnks9rtQjcJAQlFGWMApMRxBnNgmCZvOjGWAQ6PpmjyyJpBN48lvclrGUhN2o5QJhspX42iVAws4754oE6cz3wmtSaDlZCYc5XvX54nFZZWx6HXRzHtfJ2uUaoSSbPTFyjz6b712q1COQm4KUWzMidGvDKGuR5dIOzX4ybYH4zdWOxuFbWMsE3iw6+dC6KIl3GFovcl2PhfczvInOG+T0zYTvHPBEy4i6axX604kZuZSF2qlEr19ZjVAFVQBVQBVSBbhVQ5tGtgtvzfAW823Pe+3rU+rDr6+nTzqsCqoAq0FMFTCjFrfqnF5M4vZISaElIx5xUQiU2A/KWkMoS6JbEqcl/+9x2jPhdAnphMbaMT4Q8AraaZfCaA0nmCnh1dlUAH13BPJfQqhYobAXQ1RLIBFsEaK/NruLYdFSALgtvue022cbPmAbCOcJDwlgOne5PbvVnIxgkRGM8w+5hr4DEpUQWGXGcFhHw2KXfdDkLkGNBr3JZQKGA4mwSZ14+gmeffATHjzyOWGSpq7kc23kF3nPrB3DN7R/Ee264CQ47i3OVpdAYASAdxbw3x0SozL5xjJXw3cyxJeRnHwkjeQ4BNfu/mskJoKVje9+ID8N+l2hgRgtwLdDBPBxwChxuBEMZxUFdlhIGpF+KZ0H3LnN5WRCNhdzoGiZkpzOXoJlzxN/vGvJgIuDF1TuCMg4THJvrgeuU57Iv7UDZ6gmQPNzllLiIlxM5pHMGYOVaJHDluOmepVa11mKj86uhd/X5vM/JhSTeXohLgT++FDCK/TV+YUDYbrqh6xXu66XTtluNulr0erIqoAqoAqqAKtCCAso8WhBJD7lEAQW8uij6TgF92PXdlGmHVQFVQBVYNwXMbeWnFlMC55gBOrOaRiJTwGjQJVveK92HxbIB5mKZArwuGyaCzPr0SWGoxXgGc7EsrpkMynZ+umxbaYSgBK/c6u9zOqT4FqFvK67JZtevBFuMk2ARrKfeXkIkycJUZewc9CLocQpkJOQlHKQ7WSynF1qpXEIsnRfAR7cmXcyEnaZjkm7cfKksebGEbcMXQDB1m58+jeeefATPPvFzvH70WRQLzCrurNkdDlx70+249rZ7cPsH7sXI1N6GAJApuZFEAfkSdbUL+K2XY0tox2JdBIWEubTEErRSE0JuFpHbNeyR/OVaMRksqsecW3HT1okzIACmw/XcSgpPn1wSRy/BLou4ed12AZriIC6XJepgOZ6VvFw6VanlgVG/9I33CrjtNV203YDMdhy4hP6RVK6mm7xTd2tlwUO+JOAYW438MFdUtYOXc9GJG7neCu2VRp19A/QsVUAVUAVUAVWgNQWUebSmkx51sQIKeHVF9J0C+rDruynTDqsCqoAqsC4KVBeGYuQC3YuMTGARM7oHmbdKh6vpPqSzs1AuSVYr3Z50gx6eCiKXL+ON8zHZbk8Qxy34BKCttMo8Wm7zJ4xsBAoJApu1SshGhy3zZlkMbi6alliBTI6A2oHJkEtAMsfHnFc6kxlBQDBm5g/zM+b0MkKC0I1xDTsJeq10dZZxcikpOamjQScspRJOHHserz3zS/kzf/Zks642/HxkZAQPPPAAPv7xj+PQe+9EGk6B1IxZaJb5a7hlc5KRzNgNjonQnQ7pSvhOsDgTTSOVNXSie5nj5JiYWcuCc2MBN6YG3OIAbhST0SwCgDD8/zs6g7lYWtyqNEoP+90IurnGjDCJTKGMEgvcAbLWuLY8DivsNqsUc2PeL+MVauXgmmI260ct0bvN0K3Og24XNlcWPKQjfs+QV8B2K0X7OJ7qwn1TAx75LnfqRt4Ijbr6cujJqoAqoAqoAqpAHQWUeejS6EQBBbydqKbnXFYF9GF3WeXXm6sCqoAqsGkUYHE1buk2gSGLMxH2MQOUEG8pnhHIJtu/yxaBoHabsV2djtVUpoD9Y34p6JTOF/HOUkLcnW6bFTfuGRQnLLedNyr0ZG71J6zcEfZi74hPnJydADpTWHMLOd2n08tpw2lZKAnopHtUtt4XCgKuCaHNrFw6RQk/nReyVSWm4UIjPFuIG27WgMeBQZ8DQz43LJYSpucWsHjiWbzy68dw4rknkUrEuprjG264YQ3q3nzzzZJBy1YN5HcMeC4UOysbERAsBGcx9OYfOmGZrbucyOBcJGMUVwu6xSFdDd8ZeTC3mpH5p5uZ0JuZtszx5Xyz2Bdd2RSr05gMjuGl6aj8efFsRPrK7Fjeiw5wcx7MNUZHNP9O7fMXMnn9Lgfeu3tACuuFPI6udK48uZ62zW5Qb/1WntfOWq71nWzWh8p1fz6Wxc5Bj8BvxmC0kgfcyI28URq1OkY9ThVQBVQBVUAVaEUBZR6tqKTHVCuggFfXRN8poA+7vpsy7bAqoAqoAj1XoJ5bkDci5ONWekYxzMcyEj3AOAZzqzydncyuNXNrpSiZ1YJkriiZqpYyJJuXrk/C0GGfC0GP/RKoWGurP8FdN43O3dfmYji1mBBgmSsWJW6CztOlRAZnl5OIMtcVkGgAQkxmvBJe07lLAOp3srCXkenKcdI5yhbP5hFJ5eG2WZBeOI2VE0dw4rnHcebEMZQZyNth83g8uPfee8Wle//992Nqaqruldp1mc5G0zi5GMdsNCNF0pirzAzhWo3zTojN+aR7m5Ebi/GcwOwBnws7Bui0vbS4WKvDJmz89dvL4vRmHMSuAa9AXWbaVjdCZTrE3Q4jEoLHZwoFWGHFDbvC2D3kw66h2uNotT+Vx/UKrPJlRzf96hVopmZc+zORjAB6rmsC9Xqtle/iZtGok/nVc1QBVUAVUAW2lwLKPLbXfPdqtAp4e6WkXmfDFNCH3YZJrTdSBVQBVWDTKlCd90kAVNlMRyd/RhI5ZC5AXIJem8UqkQUnF+ISa2CzWRD22qWwF48vFCGOXo/TKJjGAl9jIY8A3kGvAw67RQqXsZAUQTPjAujaJYDkOd20Y2cjeON8XCIHEmnm+PIehNYFnCewZr4wC6kJWrTCabOIG7lcIpS2wm1zIOS1w0UXr92IBWBcgaWYxxtHj+CN536J6ZeeRnJlvptuYnh8End84D585GMP4LO/+QD8vtZgZTsZqBznXCyD2UhaXLAcE+Gop0l0BueQDu5TS0kB34SWkwNuic5oFIvQTBBe7/nTK3hjPibg9oph31oEAQGj6UA2XciV12N+Ml8ocN7GQx4cngzhqolgQ3d4s/6Ynzd62dHKNaqjEbrtV7sQvxrOOm1WWC1WzERTUgjQdHo3G0sjN/Jm06jZWPRzVUAVUAVUge2tgDKP7T3/nY5eAW+nyul5l00BfdhdNun1xqqAKqAKbBoFCPGYgXp2hfmxdowEXJf0rdrRSWBIdyedlNFUAZFURjJ33TYbPC4D5hLO8dr8Q0cvt947bBYpTDbocUjuLSEui0gxI3Yy5MFY2I1D4wEE3N1tuafjmAXUziwnsUjnsc3Y4k8oSkA1H8tK7EQ0nYcFFgMoctRWIJUvCewd8Dgke9bpsCEdWcTSiSOYeflpzLz2LPLZTMfzxyzV6957C+7+0EfkT3DyChTKZUyFvTgw5jdiMFpsZgRFrWxVMyuZ+hNsM06BDtlCqSSwj0XKWnVz0vk8FnLJvDD7lnNbCWIZYdEofqNyONT/2HQEL02vStEvRjMwe7fVRog6S0c2C/G57Lh17xAOTQTa0q3evZq97Gilj9XFzdqZz+rrtwvxqzORCXiZYV0ZvdLKGHhMZR52pRt5s2nU6nj0OFVAFVAFVIHtqYAyj+05792OWgFvtwrq+RuugD7sNlxyvaEqoAqoAptOARPYEPAS3A37XRflt1Z2mLAwli6I85XbvhdiWQFBb55PSFGssNcpbkwWvyIcZfbnSjKHaDInLkICVcYgsFgXj/E7bdgx6EHI7RAoPDXgRdjrkJ/dOHifeGMBZyMpvD4Xl+JdzGtdTedB4MU+za2mZMs6x2NEM9C9W0JR8l/LyOWLsCy/g+Tbz2L5tSOITL/Z1bwFgkHc+f578b4PfRh33XMfBgaH1q7H7GPOwa5BH/aN+louSGdeoLKIHF3KBHrMsqWLmvESjNMw4xR4Do+h/vOrGdGDujMCgeDZbISonONqYMiCboTE3RS+41hfmYnihdPMd85JVAT70E5bSWalCBwd1bfsGcJVk4G2dat1v1ZedjTrZ7fzWX39diH+kN8pL2rMwmrsT2Whtmb9r1wDp5eTYB43Aa/pRt6MGrU6Jj1OFVAFVAFVYPspoMxj+815L0asgLcXKuo1NlQBfdhtqNx6M1VAFVAFNqUCBJ/PnVrBdCQpMQuTIRYMM2Af4xJqZebShXl6OSGg7425uBQvY0GyQa8ThyaCqCxKxkiEmWgGq2lC3rS4aG02wGWzYueAX4DuZNgj53RTtMsUl+P5xYkFvL0QRyydB4EXs3YJLf1Ou0BmFlibi6UN2FmEQOBUIoGVN59H7K1nsfrmsygko13N1559B8Sh+/57P4Lrb7oNDkdtV3KvHJ8EsiuJXFP42gkwpMuZOcQ2q1U0awSR6cZuBOgJCF+bjeG50xF5OUAn8RCLtrXRIsmcFAUM+5x4764BXDMV2pIOXlOSdiC+qT+/wm+dT+BcNCUu+erolVbkrrU21cHbinJ6jCqgCqgCqsBmUUCZx2aZif7qhwLe/pov7S0AfdjpMlAFVAFVYPMqQIjKAldmHmk72+BbGVUlNKJ791wkjbloBiGPXbJZWWiMgJf35d9HA641iMYCarORjEBh/kxk8+Le3T3oxXDg3e32hIFSFCtfFActLEAuz0JsgNVqxUjAiV2DfkyEXCiXLQKK6bDtJouXuaUvno3gxGxc7uN12bGcyCHkcRj9SOUFeiVyRSzNnMH88V9h9c1nEDv1MsrFQivS1TzGZrfjwHW34PYPfBgfu/9jOHTwyqbX6nVmK2/YyrppBxgW6Wwu0+VcEh3TuZLEMbBglxnVQFcv79sKoOccvD4fxzPvLCOZzcNpt1/0UqGpaACWE1nMrqbFpXr9zgFctzPcckREo+tv9nzZViE+x7heTtvNrlEr60ePUQVUAVVAFdg+Cijz2D5z3cuRKuDtpZp6rQ1RQB92GyKz3kQVUAW2oAKtQLROh90OxGl2j3r9rHZxEqyuJPICaunWHPA5JWOX53OLf8jrELjLvFQWSOP2/pVUViIQeA6h365BL3YOeqRoltnmYxmwKBa34hMSBz0OiQ+IpfJgkTbGCFw5HpQt+oS61UWiwh4nDowFmg1z7XP29+jZCF4+F8Xp5ZRk6ZIqZ/MlDPocmFmJ4/iLz+LU0acw88rTSJ4/2/K1ax0YCA/h5rs/iH033o3Q/vfiqj1jGAu4JW6hlVYv57SVc3txTLO1xpgMujh5XLNIBxbLawXQm4Dw+Mwq5mNpWMoWDAdcLUcsEIqfXErInB4c8+PmPUPYO9Ka3q1odnY5Je7gXubWtnLfdo5p5fmznk7bftCoHT31WFVAFVAFVIGtq4Ayj607t+s5MgW866muXntdFNCH3brIqhdVBVSBLaxAMyA26HeK67W6tQJk2nFVNtsG36ifzF1dzeSNYmMVOazLyQwSuQIWYzkpekboShgbzxTESTzkc4oblpB3bjWDxXgar87GJXuXUJeAdyLkWRs6HYSEg4wNoHOXUQk2i1UybhcTWbhsFuSKwO4hr2zR3zvsExcmIe9MJA2rFdgR9gq8q6VprWVGqPXqTAzPnVkRlydhYCwSwTtHn8bJF5/Aa889gVyKecGdN//kfowfvh133fNhXH39TQKqM4USbBYLXA4bbtwVlgzUYrmMQrEk45WIAxYiq8i57Wacnfe+9pn11ifd0FFGa0Qy4thttSgbHb07BtyoB+gJCOkaf/FMFFTIbbdJcT86gps1vlBgUcCRoBMHR4O4ff9Qy+uj1rWrx841z/4xM5rF6HYMeFrq12aaT45zPZ22fL6cWkz2vUbN1pp+rgqoAqqAKtD/Cijz6P85vBwjUMB7OVTXe3algD7supJPT1YFVIFtpECn8LVVINwoF7WdbfCt9JMRBYRYLKDFLe47B70CsBinwJgGglluxWc0A4tY0cEbSeUl3oAQzmm3IJUt4e2lOKLJPLwOm4Df/aN+uOw2MHOXbs651bTh3k0XpFATr8M/Xocd6UIBxRIEeA74HAJyCYjp8mXr1NnKvjMT+J8f/RVeePIRHD/yOGbefAllkroOm8Xugv+K6zFw5W0YvOpWhIbHMR50SeTDSNAtf2fhOP6b42O8BYFlOl9EufzuTckufU47gl7jc8LvZiC0wy735LT1hHjmtZ8/vYx4Ng+ULVJUb9DXGPIWSiXJVs4V6fz246rxIK7bOdDReBt9N/lSomwpI8L13UOw3VFHuzhpPZ226wX/uxiunqoKqAKqgCqgClyigDIPXRSdKKCAtxPV9JzLqoA+7C6r/HpzVUAV6ECBVpywHVy24SmdwFerhW5NFu9qXpSKDlgCK7pku9kG30o/V5I5uUcyl4fPZcPUgE8KnBE8siVzxlb8TKGA1VRBtsFbrRa47BYsJ3NSfI2xB8UiEM/mYIEBZMeCTgz4XAKC84WSxDsw55buX/6dub50sLrtVtEkUyiKS5hO14DbJjm8hM2MgWBrN5s2k8ngsccew7/+xx/jP/74x5ibOdfVMnAERxA6eCvCh27B4P4b4XR5xIXssFkQ9DoxFXJL3jBhLhku3cnlUln0oU507RJeUzs2UzfCQhZ1I0wPeBwCtelO3jfiF8C5mVqrcJDfSf4xs6Lpwjbc21mJ7BhlZMWQ95KhERASch+bjsp8E4azUB9fKngctrVCf+Z6oLuczm6u0f0jfowG3bjnytG2dWvlJQgLAC4mcuLA5qsBFuejo53fGbMA4Vq/JIIk33V29HrM/XpCeup4cjHRUnwH+7FZNVoP3fWaqoAqoAqoAptHAWUem2cu+qknCnj7aba0r6KAPux0IagCqkC/KNCqE7bX42kHYpgZpLFMTmCVzWYRp6Y4VRsUpSIMyxcJuMriYOxkG/zUgLcl2DIXTWM2msHp5aTAKm4/Z6Yu4Srdt2yEjwRvuQLBc1FcuATQqWwBsUxBCqNZYZEIgkSmAJ/LLjCbhbjoDObv6OLlsXT92m0WAblGwTjIvwWGWi0Y9DgxGnJd4uBlP9iHfKmEqbAXB8b8a/DXnOOZmRk89NBD8ueRRx5BKpXqfPotFgzvPYyBq26Dc89NcI7shstpuI2lyJzDCofFIn0OeZw4NB7AFcN+cSZTLzpxqRUhFpnuUiKPAouOCcS2CQTO5EvI5IqyLob9DowE3BJLcdVEEAG3o/O+r8OZrWzv57qNpQsC+Kqbz2mTaAdm6xLwcoz8DlQ287vFvNvXZmNSxK1UtsAi3x2rvACg65k5zdF0XtYVgfnuQY+8TLj9iiGBvO20Vl6CmAXj+OKF60/As40vMixr32P2i7+nBvx+t1Jcrp1+9vLY9XTaNtKznzTqpd56LVVAFVAFVIHNpYAyj801H/3SGwW8/TJT2s81BfRhp4tBFVAFNrsCrbjtgm5ujbcJECLo7KUTsl04ks4X8PK5VQF9BBxhjwPvmQjVdP6ZMQYz0bS4HyvzW5vNS3XeJ+FYrlhqmJVKaHdqKSmFsAht6crNFsqSZRpw0U16caGqFCFtqiCOScIsAujZ1YwB3gAM+504F8mA7IvQ2O+yCdS1W60CcU0gzL/TIczzCYqpEfUJue0CTA/vCGE86FnL4DXHTvBHQMx+7Rv1ifv3+eefx4MPPih/jh492kymhp87PD7svOYO7L7hLvlp9wXFvUwHLsEswbXP6RCHMSE4G/tzxagfh8aC2HMhMzidK+Do2aiAXkJdziPn3W61IEnwW2DKLPFgWTJdOXf890TYjT1DPlw9Gerpmu1KlAsnNyrQxc8W4lkZF6E9Ae+7Y6QL1yqu5FjGgN3X7AjjmqnQJYCetzIBIYvw8bsWzxRBzyyhbr4EeRGQLTLfGAh7nRj2G9EYN+0exEjQ1dZQO3lZw7ExC5prejTgEuc5X2Kwf4az3Yr1fP60NcA6B7cz7k6ctpf7Gd0LjfQaqoAqoAqoAltXAWUeW3du13NkCnjXU1299roooA+7dZFVL6oKqAI9UqAdt916OOg62d7MwlGrmRzenEvA7bThwGhA3LEmIKyWZjaaxjtLCdl6fsWoD2Pczl4FWuvJaebU0lGbzpVQpAOyQVEoQrizKylxxjJqgMBsMZ4VEE2X5eSAWxyrlY1QmOA4VyjKcZFETqAsYxYIXF+diyGWymEllZfTuL0+6HEIAGOO72o6DxqDCUrNRki2GMvCZoPc79BEEIfGgxgPXezGZD9X4zGcffkIjj39C/z0J/+GhYWFrlZXcHwXpq69C5PX3omRfdch4HXJuOigJmQkoCbMDns5DuYG2wVEi1aJrLg1rxj24fqdYQz4nNIXQ9M03llMYjLsxr6RAMJeR113K2MaCIPpZm5UiKyrgXZ5Mp2pLGTG9Uz3NbOX2fh7Ftgj5DWznOnMNdy2FoH4dCpz3XCe+RJh95Afd+yr77atBISr6ZzkQHPdUB++SCAw5rpiwbbRoAsHxwIdAfF2X9YQxJs5yYM+Bw29GPS7LslVJuCtV1yxy2no2ekb4bS9XLsseiaSXkgVUAVUAVVgSyqgzGNLTuu6D0oB77pLrDfotQL6sOu1ono9VUAV6JUC7bjOzGgEgkhCwl5lmraaQWqOmY7X2UgGdJ6mskVYrMBkyCPZnQRk1TmlPI+O2uVkFgS9dAiOBT01QWstXc2cWm4pp1PSZrFKni5jA2o1QjnCs/lYRpyH7BfduSwoNRZyYdDrWoOs9bbfz8fSyORKIPCiU3UmksKppZS4OAmNWWiNQJBwjPCY1ydYJvC0wAJ6WeNpQlQ6P4sCUQ+MBnHtVAhDfgMiTp8+hccf+Ske/um/4dUXj6CQN+BxJ81ms2PP4Ztw4Kb3w7n3vbAP7oClXIbbaRUoTpctnZjUklCRAJdF5Ah0GZtAsOi22cSRvJLKiROZLvFb9g4KeKROdC8TBBLyEuYP+d2Gu9dikTmvnncC0WoH9t4Rn6zbzdJqOXj5O7rN6cymy9kswlcrL5cF5qZXUuK+PTDiF4jPmIZG7vpKQEgnNPNv6XVmAUBGl/A71KlGnbys4VxUzxOzhPndMfOGqUF19MRmmcPqfmyU0/Zy5KRvVs21X6qAKqAKqAKXXwFlHpd/DvqxBwp4+3HWtnmf9WG3zReADl8V2MQKdOO264UrspUM0mr5uL1/JZXF+dWsANBouiDxBQ6rAVPNglvmeQSEsXRewCK3utM5Wg1am03R7Goap5eSAleZDXtg1H9REajK86sdvIRmRuxCGnSV8t8TITeWErlLtt/Twcst98xBpeOV8QV0VxLgnV5MgXCb8I1uRjotQ16HwE9GQVAHQmf2UfJ8CyWBdoR4A14HJgIOFOfewCtHHsMTjz6MU2+/2WzYDT8fGRnBRz52P26884O49ta7MZey4NRSAkvJLFYSeYHOLBRHSJcplGBhRrLNyA8mhHY6bBI/wbFwrE5+iLL0l+7k/SMBXDkeELDHOWfkBX8S6BP40YXN4mJmpnG9zpoO7EaFyLoSoouTa63/6UhaIhUI7lkMb9DnlHms1biuZqIp0ZTH3rRnEEM+Jw6MBZr2aj0AYbsvayo7WT1PzK028qQN+NxPkJfjUqdt0yWoB6gCqoAqoApsIQWUeWyhydzAoSjg3UCx9Va9UUAfdr3RUa+iCqgCvVWgV267blyRjTJIa42WBccIWleSWaRyJQz7HDi9nJLt6nSpEn5yy7mRxWpsO2fhppVkDquZPEb8TgGIJmg1HaDNlD0XScl9yNl2hj3YNXRxjm7l+ZUZvHTzEeZyWz0dxLx3yO2QAmCMV6jcfs9es8hVNl/AmZW09J8wefeQB4R+1IqA02WzGkXI6Hz1OBBy25DOG85YFiBjkbJMsSyu2VxyFcmTz+HVZx7HqaNPI52MNxtqw8+vv/56fPzjH5c/N998M6xW61q+KzN/z62kJSeXMQvnVzMC57LFIgpFoFAqgSW0CCWpB6MXWOiOk0WQ7XXZpc8skHZwPICJkEecztV6uhwWiXpgnvDUoBtue2NHrunAJvyuV4isK1G6PLkSinJOuU4XYhlZw3TT1oO7vK3pDGe+c75QlmiFHWEvuvlOdjqcTl7WVN7LnCd+Nwj76bSvHDu/e/0Q01Ct33qA9E7nSM9TBVQBVUAVUAXWSwFlHuul7Na+rgLerT2/W3J0+rDbktOqg1IF+l6BXrrtuKW6k1Yvg7TetZipOr2Sxvl4BsViWQDiUiIrcJPb+lkciqC3MqeU5zDzNV8oydZ1ulltbThA2ZezKwlMrxC6lXHFsF8iGhq1SsfpkN8p2cB0HdNZS/cqC4qx0JW5/Z4O5MV4TiDu+XgW6WxBxsLMVZfTJtv1z8eycNqARK4kjmRCbY6HW9ntVohLNp7OIzkvUr3JAAAgAElEQVR/GiuvH8HsK0/j/NuvoMzA4A6bx+PBvffeK0D3/vvvx9TUVM0rmdvSGeNxZimBx99exGKMDuWCgOxMgcWyeKpFcoYZxcDoCQI7xmuIS9VqEecyC6ftGPBKzi51q3ZEE3wSlLfq4OVdGe2QL5UwFfbiwJi/ZiGyDiXq+rTKFy0LnGO7Ffxprpt6NzDjOcxsZ677WLogrmaC7E6/k50OqN2XNdX34ff0tdlVeXEz4KND3QGu3H4qtNapdnqeKqAKqAKqgCrQ7woo8+j3Gbw8/VfAe3l017t2oYA+7LoQT09VBbpUQN1TtQXslduuW1dku1AoU6BLNIPplSTimYLAMOaVshG67h70wslqYxcaXYEEaCcXEwKBWbCMfWYEwM4BX8sO0DfPxw1IXCxh75APE00Ar5kZW+nENCMGuJWesDPgcqxtv2fmLt2YLK7GXNWg2ymfDfkZQZHDXDQr92YjvKMbmNdO5UuwFnOYPfECpl96SqBuauV8V9+anTt3rrl077nnHhDyNvsemdvRWcju7YWERDUsrGYvZMhaBFZy3MUysJzIIi+Q1ypuU87hWNAlzmtCyyGfS8CvuKvp6K3INGbkA/Vp14HNvGZeh4X19o366hbj60q4Lk5mVArn9LlTEYlbILTfEfbUjQGhTnSxE/LTvcu1tHPAi9PLSVnfl8Op3O7Lmkq5uPb5UmQ+lsJSPCfrfyLsNiJXLEbMBzOwuQ7Xo9BjF1Onp6oCqoAqoAqoAqoAAGUeugw6UUABbyeq6TmXVQF92F1W+fXm21QBzT9sPPHtgtVaV+uFK7IeaGYUg1n8iY5XwkAW0zIdvK/ORmVLOrf9J3JFyXJlnMGOkOeSDF72fSmekZgD5pqGGOXgduDqyVDLGa6zqxmJFmC/vA479gx568I3U6uzK6m1LFUCO2aMEk4SctKdOx50C7witKbblcCOENnjsGLA55LYAh7Dz1+fMwAzM4d3DniwOD+PZ594BC889QtMH38GhVym42863c633367QN0HHngA11xzzdrYmn2P6CCOpug8Lsn43phnP/PimE1k8xKPwcxjl8OOsMcOxi7w9wuJLOaiaSkU53VaxX3MDGUWTqNrmYCS4JeRG/w384plvXWYodyLtdqxwC2cSAf0ibkYXp+P4c3zCXkRsXPQi1qF1VL5ojidqYXp8mXROWYRX85xdvpM4XeaRQkJiN9ZTEo0CeH+lWMBcXmbjd+/9Sr02MIU6SGqgCqgCqgCqoAq0EABZR66PDpRQAFvJ6rpOZdVAX3YXVb59ebbTIGNqmDe77J247Yzx94rV2RlVETQa0epaGSLEgyaTQqOOQlm7TizbLhECWsFgFktGPG7EHA7BJzWapl8Qba9n1pKYjWTw74RP/aPBnBoIijguF6jc3AmkhbHrc1iXYONBK/sS6NG4EV3MeMV+HNuNY2w1ymZs/tG/WsuUsLnhUQGc9EMPE66LxnNYJP8VUI7QuW3z8dw7MXnMf3S0+LUnX7rta6WoD8QxPvuuRe/+RufwCc+fj9YMK2ytfI9Yl7uSjIv7ko6bWejaWQKRSQzRYHU7PtCPCu/I4x32i3yuwGfHclsCUsXxsxohoCboNcu+oS9DrjttjXAy/khELagLNejPmNBDyYH3ALbm7XNnsFr9v98LI1fn1yR9Z0rlEUrakPAzSXK7wPXFBM3XA4rQl675A8zp5jfDbZefSebaVrr8053BZylG5/Qf5UvOPIYD3nExb33goO7+l5cbwTZdPT2otBjJ2PVc1QBVUAVUAVUAVXgYgWUeeiK6EQBBbydqKbnXFYF9GF3WeXXm28jBeggPLOcAos9LXOre64k4InbuXWb78ULoVO3XeVVeuUWpEv09bkYXjkXRbZQFnBFwJgrltcKcnFrPh2tLL5EAJZi1utKCn6XDQGPE4NepwBRgtF6bT6WwUwkiXeWUtg75MFVE2FctzNc9/hqkMR7cx3NRFMC2XYMeBoWwOKFjaiGNM4sJ0FHL2MIuB4Jr/5/9t4lRo7rvPv+9626+jLdcx+SM0NdKNJ2bJGOI0r0a5IS7yIpGx++hTdZxIE3WSTIxusguywSIFkECBDghbMIXrwBvsX72RZJibRJyiJpyyLtJBapRCLF6wyHw7n2vfr24jmjbg1HMz3dXVXdVdX/EgYUOXXOec7vqT6Lfz/1f0S8E1FMPIVTeUMJePKavVQtSkVy1cjj33/9Hj785c/xm19eQGphztSneXDb8/jmdw7j1KnT+P5bxzCSjCpxVvYkXsDyWZGrmc/RYraoBGsRT0vVKoIiwIdDn9tI+OrNwURYf7xcUFW+Yj0gFb2yb/l3scyQSlSpatZDQQxEQnhpNKbyKfNKVbDwkepnqdQWQV+qV7+6tU/574rdQjOX7Ef8i7vlTdtMjHKPfCZ//2gJ//FwUT0L8gWCeDZv9DkQwVya1IkQXLus+kw2G/Pa+1r19c4WS5hayCthWj7TPj+UJ7NYM4hwvdG1+ouXbjWVa5cRx5EACZAACZCAFwlQ8/BiVu3fEwVe+xlzBYsJ8LCzGCinI4F1CIggKD6rIhaKl6MISSISxMKBZ16l52u+K/DarbarobeyKlIEuF9+8lRVdH72NAtfFRiIaaqBmIiP5XIFmWIZpXIVetCHpXxRVeOKyCiVn88NxRAPhxoKQhJ3oVjCrekUZtN55dP7wkgMr0wOou/zpmyr9ybPkcxvlCtqXrEKkKrfhwtZ5Yn7aCGvhFoR2CTGRkKUCLv3nmaQL8ur9eKvG0A0HFqxfKhU1TpS5SpCZnVpBrevv4ffXf0Fbl7/FUqlYtuf90AgiD/41mt46ZWD+Pprb2Dr9hdUxfNIIgw/fJhcJZDKFsT3VvYkQvhmnyMRrEVwlS9UpEGcVN1K4zMRsKW6WapxV19Zo6iYSYWmsEwVVpreiS+xCLzyed0xHMdoIozhvhVhT/iIQC7Vu3MpQ4nHoc/9eve9OKTsHTa73CQErv5MSuPAfl1TgvZ6lexS6b62etnKz+RmXDf6/eqGcc18CSJntTQffLyYRwUr9iejCb3eYK9RHG4R7ttlyXEkQAIkQAIk4CYC1DzclC3nxEqB1zm5YCRNEuBh1yQo3kYCJghIk6JWhbdef8231Wq71emxSlypCfPSYOo/Hy4pEbdYrqrKXBE8RfTKFUX6qaoK0KWsoSpCl3MGggGfanY2ENGU3UKj6t1aU6qlXEl5wIpNghobXWn+JcJm7TV4ERWln9l6zZxa+SJhtUgsAujjpZyqWA0E/OiPaApnppDDB1d/jd9d/Tn++8P3MHP/tolPAZAYGMIf7T+CVw4cwcuvHkDep6lKWKmKlj9FdCtXK0ocFRFdKqOlolZYi8ArnwnxRC2VV0Tb9QTs1Q3kxD7CL401FnMqH/Lfy+PJdf2JJQci6D3NFBAO+GGUVvIqHrwPFvJKKBebje1SGR3w1S0JymV5BspKFBZBX+wfvrY12ZS47rbP+NrPZCQcWNeLer2HxKrPpKkHEECzZ7E8O3efZjAnVh1LBSSkOVxCX3kGBqObhuEEQXvTIHkDCZAACZAACfQIAWoePZJoi7dJgddioJzOfgI87OxnzBV6m0CrVWM1Wm6q7rMjw07gtloMkjpYyUkqX1J2BiKmigAoIq8Irqqi83P7DREhpTq7PxpWzahE5F0R/75csb22KZVUkVarPlVpOtKnqSpdEY8rleozYqe8+i7+pxMDUVVNXLsaWRhsJBKLf6+sIxWr6aUF3PrgPbz/i3dw7fIvkE4tm0rvlhe+ip2vvI5XDhzFq6/uVdXJq/csnMSvNBkJQYR0aeg2ktAw1hdRIqkwl99njCKWsyUUK2WE/AHsnkyqyui1l4i0sg/5U5p8ibWDNIFbyhnq7+IvLN6w613zmTzuzGYhbhBiufHccFRVMM+lxau3opqL9cc05Ysszd9q1hxBvx+zqbzyI5ZciwCcCIc2rNLfqAJ7dR5NQbdpsBM+k2a31uyXIGLT8V+P07g7n1FfuLw4HEM0HMR4f6ThlzWr4+u2JYVZVhxPAiRAAiRAAl4hQM3DK5ns7D4o8HaWN1ezgAAPOwsgcgoSaEDACZWonUiQCJ3ymvp6vqntrt9std1qUdyqqsj1xCwRCW9OpZRFgFTrStWmvKIuDb2kmZqvWsVyvgR5hV2sRyf6oxgRSwDlvbtSjbpZUyppmCaes4OxFe9eEXfXvgYv1ayDcU3ZCax3NdOETOYQkTgc9GHx0R38r//v/+Dn757Fzd99iIqU0rZ5BTUdL+x5DZO79+Orew8C8eHPvYilQZuuKmNrjbikCnk5V1IVyplCWXGUBnYD0RCG4jqel0ZWPqmWreLObAb3FzLK/kI8gofi4S+JbfIMSqM6Za1glLE1qSvhWvyQHzzNYjihqZzI2PUuaSh352lGVeRu648oWwbJ2ePlHBYzReU7W2suJ+NrzfXEkkAqeZUlRMCHaDCAYND3jM92MxXYbSLv6LBufiat2mgzX4IsZAuYXpTGagaG47qyQpHnaa29R6OYutlUzipWnIcESIAESIAEvECAmocXstj5PVDg7TxzrmiSAA87kwA5nAQaEHCSl6xdiRKxcz5tKP/SVoXIzWJqttpOBECrqyLXCvPyiv+jxRyyhRKml/JKzK7ZB8ir/3JJHNKcS+w4nqYKyk+2T9cwFNOU5YBR2rg5mzSlGu0Lq7lFSBQx9GtbE2redoXzjXJjFPL4/YdXceXiu3jn7Bncv39/s1Q0/P3Q2DZ89dU3sO+NY5j4g1eQLq3wkCpXqWyN6yHEtAAGYuF61as0hZvL5JXILFWyYkUhoraIs+KXK43KpPGY/L7Z1+VFPJbqahH5QwEfBmNhxU4az336JI1I0I/xgSjGB6MIiZK+6pLPqjSck3vFLuLFkRi2JiNKbJfKYolpWETlpK7EW/kvKM3fPvc4rr2SHwqKIO1TAnGpXFGfi1YqsE0logODu/mZtHJ7m30JIk+wfPkwnzXUFzTyWWxks7JebKzgtTJjnIsESIAESIAE2idAzaN9dr08kgJvL2ffpXvnYefSxDFsVxCQzvOfzKTxcDGrBCV55bzVy6kiwWYCSc03dSMrgWY5NFNt18iXttl11op9t6aXIRV40njs+aEoHizkILFI866aGCmvbov4WKtaFrFPBKHlXBGfzqaUOCliraoE9QHJqNawKZVdPqUiXt69/wDnzp7BuTNn8Itf/BzZbLYdNHXhdtfL38IfHTiKb+0/gujYC8qjNhkLolrxKYFbBE8RyArlirItkMpX4VarehUhdCEjDenyglH9XuaQplYi1G5JRDAxqCs7BbG8eDCfw0wqj4BPmvBJPTQw1BfGmMyrSVs2nxJhpxfzqhGbPH9iiSG5ENFXhGaxWZgYiCihVrxUpQK6JtqJECy2DnKvxC7N8aSpmjRYm1rKqSpjEYxrVcWbCXpb+3VkC2VbvvhoO3EWDezGZ9Ki0L80zUZfgshnWj7rhXIZ5TLUGSBfWDR70YO3WVK8jwRIgARIgATsJ0DNw37GXlyBAq8Xs+rxPfGw83iCub2uEhDh8faTDO7PZ1TjKBGxWr2c+JpvI4FHRLqab6oIi+s1A2uVQafE5Fpca4V58c+dWsx/SYxcbx8yVoQhybk0ZOuPhFQl73h/VL3mLZWl4t27tgLUas9lsVn48MMP8bOf/Uz9/Pa3v20V+zP3R2J9+Oor+/HN7xzG/kPHMDA4rPI8nzEge16xLpCq2BVLA/EqFoFVfG/lz4nByDN7XuuVW3v1vVYtu7qCN18q4eG8CLc5JZpXUcHUwkqls/jwimArV6kije6KWMobKJakQVpQ/Zt8STKTKmA5W1S52JoMI6FrEO/cmh2G5ETsH+7NZZTdxvaBlXyJxYNUqI8lwxiMhtW/bXSt91m1w7rEVCItGtzpz6RFYW84zXp5erSQU1/yyJcL4oktz1uzl11f1jS7Pu8jARIgARIgARL4ggA1Dz4N7RCgwNsONY7pKgEedl3Fz8U9TsCLFbytvKItvqryyr2IZCKMScXkjpH4M03BWnkE7LSDWB3HWmFexJ/Vjbs28+EU8VLESBErRUgciAWxfTC2oUAoQqkV3sGpVArnz59Xgu7bb7+NJ0+etIL3S/dOPL8D+w8fx8EjxzHy0jdhVH2YSxvKK1csK0rlqqqaFQsKaUC1JRHG7dkMHi5kkS6U8dUtfapZ2drGVOt55Up1pFQ9rlctW6vgFfuEdL6oviyZXs6LKQZ09cWJNFPzQ/Tl2ZShWMoYiUvsEsqVisqFeCZHQ0FVmSuN5UJBv3omRZiWJm8LGUPFH9X82DYQVZ6rsl8p3BTLjG0D4qe8scjn1Gp7Uw/BJoM79Zm0cw8bze2FpnLd4MY1SYAESIAESMBpBKh5OC0j7oiHAq878sQoVxHgYcfHgQTsI+BFD14nNFmyuypytTAfgDT+WhGqa427NntVWywGPnmSUg3DpKY14Pcpew7xZX1hJP6Mb6tZ7+Dbt28rMVdE3UuXLqFYLLb9QAeDQew/cBCvvn4Urx48gtjIZL1RGHxVzKUM5EolPE0ZKBQrqmGcVM+GQwGMxMOqMlmqYPOlsvKx3ZaMYMdo7EuNqdbzypWghdd61bJig3Frakk1WksZReiBABayxc+tHTTl1yt+yFI1fHc2jWxxxRqhP6IpSwapwP50NiMmyShXRawNqy8ZJJ/yLCUjmvIGFgFYGuSJ5+pzQ1E1p+xjJKGhLxxSIv1GV6+/km/3Z7Lth9rkQCecdya3wOEkQAIkQAIk0PMEqHn0/CPQFgAKvG1h46BuEuBh1036XLsXCKxt1uXm13x7paJttTAvPrHivPkkVag37trsuRWx77O5tBIHxeNV/F2VUBgP44XhqBJEpSFdO97BIuBevXq1br3w8ccfbxZOw9+PjIzg1KlTeOutt3Ds2DEkk0klfEoVrsQslbC1RmF5o4KFbEHZMGhBv2oaJ9dAVIOuBVQlrHjWShWt3CeWBi+MxJS37upLBPSHC7m6V66Mr3merlctKzH87sHi59YXWWV7IRXE8p8IzFKRK9YN00s5PFnK4/bTDHLFMgajIWUdIf65y/mSqsSVxmiiDIs9g9iHSCxipSEVvGKtIfsSr97R+IoILBYTUrEtQrGssdHFV/JNPYaOHdzKGwtmv6xxLAQGRgIkQAIkQAIuJ0DNw+UJ7FL4FHi7BJ7Ltk+Ah1377DiSBJoh4CVR1Eti9Wa5q+310ydpVeUpAqEImCJGbnbVKlEHYiFUKkCpWkG2UEIsHMJgXEPI71PVoc02opubm8PZs2dVpe65c+ewuLi4WQgNf//Vr7+Mg0dP4NSpt3DowLeRiKy/p7Wv30slbalcQc4oKYF6xeIgVF9LBNSEHlLirthyPFrIK3FVqpdXi7xrK3j7oxrmM4UNq2XFz1gqa6VhoQi3MS2IgHgZV4DBmKbsPyRHItBKkzvxBS6WyljKl5CMBFV17kBMR1wLQHW7Q1U1zyuWVrq1yX6k6jcIH8Ihv6ryFWH4hZEooqGQml/W3Oiy2j/ZVHI52HICXmoqZzkcTkgCJEACJEACLiBAzcMFSXJgiBR4HZgUhtSYAA87PiEkYD8BL7zm60W7iUaZrwnzd+fSSqgU+wGpTh2MNW6Ut14l6uzyivAor/lPDn5RCVoTREX0FS/Y2iUVwB999FG9SvfatWuQpmntXmE9gj/ctx+vHDiKVw4cxujW8abFZVlzKVdUDebkT6maFcsJ+ZG9ioCbjIaUsCsNy+TfN6t6rHnwiqgrVgsxLbDi5btOtWy2WFIN1aTZ1WwqDz0o9gwG0kYZw3FN2SuMJyOKrwhx4pkrMYnIPieCb86AHgzixZEYxhJhDMXDnwvAVRjlstqTjJEqZfEKlsrgF4fjyBplZe3wB9sSyvO3kbhrhX9yu7nluM4Q8FpTuc5Q4yokQAIkQAIk4AwC1DyckQe3RUGB120ZY7zgYceHgATsJ7CZ4LVa2HPqa75ebBi3WeZFmJfmXL/5bAGFUkWJoiICbuTBK4Ln2krUyYEo7s5lINYcQ7Ewdo7GVdWoVLTWBFGJI5/P4+LFi3U/3Xv37m0WXsPfb9k2ge8cPobd3z6MXd/ch2g0qoRPWVfiFAFThFaxKRBhVURM8Z3t07+oyDUjam1W9ShevTOpHGaXDYwkwtiSDCshdm21rDSsm88WMLMkDeuCyid3MWtgaimvmqhJdbA0Q5O/L+eKyht4KB5SfrwPFnNYzhiIR0KIhQN4YTimKo5FWBef4IV0UVk0BHw+FMoVJehODkSwJRFBKOjDUq6kRH2p2pbxq/MuIrxTP6umHhwObkjAy03lmHoSIAESIAES8CoBah5ezay9+6LAay9fzm4DAR52NkDllCSwDoHNBK92PVnNwm62OZL4xd5+koG8Li9ioLzC3uolVZgiqEmzqvWab7U6n93314T527Np3JlNYylbUl6sYguwVuyTV/zT+ZLy211diSp2BDPLBVW5O9qnY/tQtB721NRUXdC9cOECstls21uSePbt24cTJ0/hG/sOYduLX1HrNhIoM4WV5nFipyDCqlQR7xiJK+/ZRs9rsyJxI4FY1lzIGEpoFj/c8QFd8ZEKYKmWlkphWef+fFaJ5llDmrbpyBVLyqpBKn5lnMQcUg3SiljMlhDwVxEKBlGtVJWQO5cxlDAv+xO/Xhkn4qzwEusGEb3l/0UQFm/fl8b6MNGv4/FyQa0l1b05o6LiWrlX9Wpryz+57eRyoOMINHtuOi5wBkQCJEACJEACPUiAmkcPJt2CLVPgtQAip+gsAR52neXN1XqbgJmKSKvJtVqJ1osVvMJchM5b08u48zSNz2YzyidWhEIRQWtin7ARBwXxb01Gg/VK1EgogEcLOfj9wHh/FM8NRfDxf/6uLureuHHDVFoTiQTefPNN1SBN/pSGaVbYgUwMRCGitjwjUkHbrkhc29xGz9qDhSwq5SrmsgaCft8KU9XSbuUqVspYzoo/bkk1OpNKWvHXlZyI4KoFVpqgyb9JnAs5A5pfchBSYqwIwPLFhHgFJ/UQEtEgQv4vGqVJ/sRbV/5dxPnVXz5IHOs1mqtUqi35J5tKMAeTAAmQAAmQAAmQAAmYJkDNwzTCnpyAAm9Ppt3dm+Zh5+78MXp3EmhVXLVyl+2KzL3mwbuauTC78uksnqbFGiAHEflin3vm1ipB5e8iOGpBn7INEPsF8WadW1jCg9//Ch9cvoD3L57HzMyMqXR+5StfwenTp5Wou3//foRCX1gqWNXQr1KtNGyStnYDYvnQjA/t2qrHVK6ED+/Nq0rex6m8anoWDgVUZa1fVHFUkS2UlSWD/H0wKvYKPmXNEA0HMRgLqcreuXQe08t5LGaLivtARFMCr9gqSGW1VFGL7cLWfl0JybUK4aB4BovKC6j4i5UKJvqj2DkWhx5aEYK7+Vk19aBwMAmQAAmQAAmQAAmQgCJAzYMPQjsEKPC2Q41jukqAh11X8XPxHifQ6dd8zb52f38uq5pdPZjPYUtCV76yzV6y9kZWBc3O0c37ROT9/dQSphZzeDCfVdWh4tkqVbp+v69eCRoJBvDxf3+CX7x7Dr967wI+un4NpWKx7dCDwSBef/11JeiKsLtz584N57IiPyN9mrIkKFcrqip5fCCirBI2u0TkXV2t/MKI+N1u/HzUnsW5TB7/9TiN5VwJOaOk/ImFrdguSOXuXKqoKnajoQBGkjqeG4yiP6qpSulSCaqZmgjDUg0sHrxi/fDcQBSJWEhVUouHstgyjPXpzzS4W70fsWwQn2RVJRwLYddYnxKKV3skd/qzuhlv/p4ESIAESIAESIAESKA5AtQ8muPEu54lQIGXT4TrCPCwc13KGDAJtEWglUZvG3mzlqtVZVPwaDFrq/jX1gY7MKgmSkpV55PlvBIgRYyMBID/+o8P8atL53Ht0nk8/OxTU9GI1cKpU6eUqHvs2DEkk8lN57Oqwlo8cf0+IODzY1t/xBYRf+2ziCqUd7HYLogYK3yl6rZUqShBXSpzK1XgxZGYsnEYjYehBQMwymVk5N5yFQuZAjKG+CAXMdKnoy8cQjAANU8iEsJgLIznh2P1it3VQOVLC3muxdqhP6Ipv165RNdO6CEMxrWGYvWmyeENJEACJEACJEACJEACXSNAzaNr6F29MAVeV6evN4PnYdebeeeue4+AFd6sO8f6LPF4lXncetUsLh4/eYqLF97BpQvv4De/vIh0asnUlr769Zdx+Pib+P7/+//gwP/Y97lFQfNTWuGRLPYTd59mVPVsMqJh52j8mWZym0VTq4SVym5pmPa1rQkl2q69NnoWxS9XKnlF4K1dc+kCFnMrHrtSYSsirAi3Up1bKFZU9bQe8iuB+Gm6gNmUoSw0xJs3FPQhb1SwayyOrcloXbitzV0olTG9lMOjhbwSk8XWYSCmKc9hmVeas4nAGw4G1BriTSwCMy8SIAESIAESIAESIAH3EKDm4Z5cOSlSCrxOygZjaYoAD7umMPEmEnA1Aau8WeW1e/EsbbYBl6wr1Zfy2rxURcor+ztG4q4UyUS8/Oijj/Czn/1M/Vy7dg0V8TBo8wrrEfzha/vxh/uP4A+/cxiTkxNKlIyEgnhuKIo+/Qtv3WaWEHH09pMM7s9n1BwjfeFmhj1zjzQVuzuXVZWrk/0RbB+KtTzHRl62tYmaeRalGll+xPYhXyrjyVIBU0tZ3J7NIKKJb65f7U81uwtJs7sVEVlE4EyhiJlUAaVyBUapjGRUw9ZkBN+c7FfWDrVLrB2kOnh6KYun6aKy2BDLDXk+xZJC1pZqZolD1jSTm5YhcgAJkAAJkAAJkAAJkIBlBKh5WIaypyaiwNtT6fbGZnnYeSOP3AUJNCJghTfr5GBEVWVuH4oqT9R7c1nkxCM1bSjPVqnUlApI0dqqVUAEx3IFtohjnfJDzefzuHjxIt5++4hdcs4AACAASURBVG0l6t67d8/Ugza2dRyvHz2B14++ib3fPgA9EoEIxxtZYrRSLWpFBe/9+TQezOdVE7IXh+PKokGu1YKriJ+S6/Uqc+VesTuQWLYPxrBjNKaqbldf7TyLIlp/+iStfHLn0waeG4pgYiCmrBhWX2LHIOtLY7WH81lkjCKSuqbu3zmWUDHJlS+W8N8zacym8niaMTAcC6tne+doDPqqeK3KjamHhoNJgARIgARIgARIgARMEaDmYQpfzw6mwNuzqXfvxnnYuTd3jJwEmiFglTfr2tfua1YF+WIF8qr7cr6IQkkac1Vte71dqj9F4JO1RESuXVZ6pU5NTdUF3QsXLiCbzTaDed17pLJ018vfwrffOIZTp0/jK1/7xoaWB1IxKtWvUjU6PqArL9hWrCysyPN/z6SwnC8pu4MXhmLKDmGtZUJto1KNnYgEvyTgNqrglRh//2hJ2SKkC0U8NxhDKBhY1xd3NdCFrIF/f7CI6cUsHi7kVfXuWFLHi+Kp6/fXbxVBdj5j4OFiDnmjBJ/fh1SupKpvtw+uWDSI3cLt2RRShZIS1odjmhKy5WetGF2b2Gxu2n6AOJAESIAESIAESIAESMA0AWoephH25AQUeHsy7e7eNA87d+fPKdF3qqLSKft1UxxWVHY2Eu06IbraKSaLzcL169fr1gs3btwwld5EIoGjx0/gW985jB3f2o9E/xDGByLqtf/NLhESHy3kIJrleH8UYokhQmqzVzvVsbW5pSp7aimvKoqlMluqskfi4WeanommLrvQgn4VVyjgV/8/2heGHgqosVJlu54Hrzwn04s5fDS1rKwUxOdXGp8JFrFHSESDiIbW36vcLxYNn8yklfWCfJEgYqysK2v54FNVx7ni518w+ABpCCjMZZ2naQP90ZBqvJaIhrCQMdQexepBcrMloav4G11mc9NsDnkfCZAACZAACZAACZCAtQSoeVjLs1dmo8DbK5n20D552HkomV3YSifEvS5sy1NLWuHNutlr9wLMLpG/kR1Eu16pqVQK58+fV6LumTNnMDMzYyrnu3btwltvvaV+9u/fj+nlorIKeDCfU+KhiJDNXrLfmeUCVltiNDu2GX/b9eZaLV6KzcFirognywUljsp/YscgTcakIllEXKnalnxLEzKp8hVxdGtSV/+2NvbV4vxSzoBUCYv3rYjD4o+rBXyIhYPQAgFoQR/GEitVtrVLhFpp/DafKahqYvnCQsTnpAjCn9spbCQ894WD6v5PnqSU77MIyhLrcs7AUq6EHcNxjCSa9yo2k5tmc8j7SIAESIAESIAESIAErCVAzcNanr0yGwXeXsm0h/bJw85DyezgVuysqOzgNnpiKbsreO2EKM9Zsw3dNvOxvX37dt164dKlSygWi22HHgwG8frrrytB9/Tp09i5c+cXgmSlilvTy0rgTefLeH4ouqEtw3oBNKqCbSbgT2ZSWMwZeLSQV57IIpg2qh5ebT8wHNfwJFVA3ijjk9m0sk6Qhm9SYVtrZCYxrFT5lpH63M5hKKYpAVXEYF3z16uP5b7VXs0i0Mr8mUJJiceJSEiJxWLrEQ6J4BuEHgwqKwVZUy6x/xChfCaVR9AvK0CNF3FXxotQvPpazzpCKofz5bLy2UUVyh4ia1Q6nptm8sd7SIAESIAESIAESIAErCVAzcNanr0yGwXeXsm0h/bJw85DyezQVuyoqOxQ6D25jBXerBu9dm83UDNi5Vg8gDu//y1+d/UXSti9deuWqXBHRkZw6tQpJeoeO3YMyWRy3fm6Lai3IopLxe9itgijXFGiqlgX9OkB/P5RCuVqGeWyNMlbqXxdTyQWcVg8b3NG6fPGa3780fP9yj94YiD6JXE+qYfwJJ3HQrYIiVOqfuV6RiyOa0q8nRiIqErefKmEh/N5PF7OQQv4lQ2DCNcD0RVfXbkkjkbN32oV6CJ2i3fz00wBIb9fid+tXo3sSpqZy65K92bW5j0kQAIkQAIkQAIk0IsEqHn0YtbN75kCr3mGnKHDBHjYdRi4y5drRTzarKLS5ShcFb5Zb9Z2LQPMQGrHbmBxYR6/vHge75w9gxtXLiGdWjITAr75zW/Wq3T37t2LQKCxT6ss1ilLjEYba/QljHjeisgpcZYrIuD6VRMycdeVSlppaCYidaUK9edc2lBVsn16EJFQ4EuVvGmjBHm+xEph52gcL43G8fJ4Px4uZNetJBY/XVlD/pR1azYLK2JxQVX0jiQ05Ze7fTD2TAVvsVRRsYsYLQKv/NnMVRNlpULZD78SiyOhoGrW1urVjF3JenPSzqZV0ryfBEiABEiABEiABKwhQM3DGo69NgsF3l7LuAf2y8POA0ns4BbMVFSOD+iqsm/nWF8HI+ZSQqAdsVTGdbOxVDOitFgAfPpft/Dez99RP/9+/QNI07R2L13XcfToUSXqSrXu5ORky1N1u4K3FnCrNioinC7ni3XfYJ8fSoSVCtqlbAmFYgX+uhfvikishODKynNSqlbw3GAMX9+WwPahGD6bzeDRYlb9fnWTORGWpxbzeLKcF7cEJbLWqoNlntlUQTVeEzuFbQM6gn4/7sym8TQljdby2JqMqJ9t/XpdHG6UpNWWF8lISDVWm17OdayCt9U8SOWzVE3zIgESIAESIAESIAESsIYANQ9rOPbaLBR4ey3jHtgvDzsPJLFDW3CjSNghNK5Yxsni/NrX1kXwk2Zc6/nYFvJ5/Oba+5+Luucw9fCBKf4i4ta8dA8dOoRodOW1/3Yvp1liNFM5KpW56/kGi/+tVL8apSqMcll53xrlqvLgFU/eWoM0sTuYTefx3FBMWTOIf+5cprBhk7n781lIlbGIudL0bDCm1UXejFHCfNpAfzSIoD+gxM7ZVF5VBM+mDUwORDA+EMVXt/Q1JfCubow2FA+rPXTKH5l2Nu1+ijiOBEiABEiABEiABKwjQM3DOpa9NBMF3l7Ktkf2ysPOI4nswDaaqajcKAx2n+9AgjZZohV7jbXerNK4asdI3PLKwo3Ex2K5oqwB5PX/vnAQvuwC3vvFu3jvwjn86v3LyOeybQMVYXLfvn1K1JWfl19+uaUmaM0s7MTPSiPv182qjrPFEpazJYj4KpW7tUsqbUXMTUSDSOVKKFYqkOpasXqQRm8bNZmT9R4t5pAtlDCXedYCwihV8PHMsvL0DQf9qoJ3PmtgIW2oyl6xVtg9kURcD0EL+jHaF1Yi8XrXehXoIh6LwCuN27YkdMT1lWZuzVytnGOtfN5oZ9MMfd5DAiRAAiRAAiRAAu0RoObRHrdeH0WBt9efABfun4edC5PWhZCdVpXYBQSeWLIdb1YR1J4biqJPD1nGYLPX1ivlMv79d7/FlV+8i5u/voS7//V7U2snEgm8+eabOH36NE6ePAlpmGbn5bZq92Z9g8Vnt1SuoIoqfPAhGPAjIKoroERTEW6bbWQma06LBUSxjKVsEYVSBaVKBUtZA+L5LAJxwO9HPBxAPBxCuVJWfxeVV6wWxMKhPxpS4q40a6t5+dbyKuKuVB9njTJW28N0KjdOrpi389nn3CRAAiRAAiRAAiTgNALUPJyWEXfEQ4HXHXlilKsI8LDj49AMgc0q/JqZw2z3+WbW4D2bE9hMXJWqyYQeQjgYgB7yq1furfQE3UhkRjGH3157D9cuvYtfv/dzLM7Nbr6ZBndMPL8Dew8eVaLu9986hr5ocw25TC26arCbBD4rP9+tNDKTdZ+kCpCq3YWMgZvTy0jnS8ruQYTkpDRSS4QRDYcQ9ANaMKDMfxeyRVXdGwuHlBdvLBzEeH9Eib1iH7FZBbrduemUiGzVs8p5SIAESIAESIAESMDLBKh5eDm79u2NAq99bDmzTQR42NkE1mPTNlvh12jb7Xaf9xhKx2ynGW9WsWaw8lr72vrc1H38/leX8KvL5/Hhr95HqVhse7lgMIg/2vcdHDxyAgcOH0c1sUW9fi+Vnl/bmlCv/HfyauUV/c0ESbvjtrJCv9VGZrK2nA2/vjOn7Bqepg0YpbIScIfiGrYkI+oLh0oVyBklVZEbDvmQL1ZQLgPwAduSK1YLYg8hZ1W5AkS0lfHrVaDbnRsnWnTY/QxxfhIgARIgARIgARJwKgFqHk7NjLPjosDr7PwwunUI8LDjY9EMASsr/Cb6o9g5Ft/QN7OZeHiPdQQaebNat8rKTDcfzuOX77+Ps2fO4LdXfoH7dz4xtcTA0DAOHDqGg0ffxLcPvIG+RFLN14pXqqkANhm8tlo5ky8rQVIP+hEI+OCHD/lSeVNB0s4Ya3NbJUo228hMhNjlXAnzGUM1UHu8nMf0Uk5ZP4gbiAjzo4mVhmpiAyGVubliGfOZAubSRcTCAYhjg/ybNOUbkGrfpK7sG5qpQLfLrsRKsbxbX0504nnjGiRAAiRAAiRAAiTQKQLUPDpF2lvrUOD1Vj57Yjc87HoizaY3SdHCNMKenWBubg7nzp3D//n/f4p33j2H1NKSKRa7/uBlvHH0BA4cOYFv7PkWAoFnG2yt11jL6krkVjYg1aL/PbOMJ8sGFrIFZR9glKtKsBRhMhkNYTwZQX9Us8USo9lYrbQVaNTIbLUtgzTT++xpBo8WcniaEauGsvLVFeF7IKahP6LhxdEYtFU5lvyKyLuULyEaDCjvXqnOFnFXRN6t/boSeAfjGjbLux12JfwyrNknjveRAAmQAAmQAAmQQGcIUPPoDGevrUKB12sZ7YH98LDrgSRbtEWrKvykKm37UNSiqDiN0wiIcPnRRx/hZz/7mfq5du0aKpVK22GGwmG8tOfb2PFHB3Hi5Jv4yosvKjFvvWujxlptL25y4GoBcSknlao5LOWKym5ADCO0oB99elAJmaOJMHaN9Vnqd9xq+FZ5024kFq9trJbKl7CQM/B4KacqcUN+n2IjLdz6IyFsG9DRFw7VrRZq+5E8z6YK0m8NgzFNibxD8ZXGay+P9yuurVxW2pXQzqYV8ryXBEiABEiABEiABOwnQM3DfsZeXIECrxez6vE98bDzeIIt3J6VFX6bVdZZGDan6gCBfD6PS5cu1UXde/fumVp1bOu48tL99hvHsO1rr6DkD+Hjx8uqInNyMKo8dYPyfv7nVzONtUwF1MbgjSwAwiG/qt4tVyrIFUX49iEeDmzoF9vG0m0PsdKbdq1YLILt1FIe2UJJee2GAn5IBa/8/bO5LCrVCkS4lbxKcz+54uGQslyQ5mkigK+u5M0YJUil8FgyDPn+oD8Wgln7FyvsSljB2/bjx4EkQAIkQAIkQAIkYAsBah62YPX8pBR4PZ9i722Qh533cmrnjqyq8LMzRs7dGQJTU1M4c+aMEnXPnz+PbDbb9sI+nw+7v7VXibqvHz2BnV/9OuTf5KpVfU4v5lS1Z1xbqeyUqle5pVpduWezxlptB9fGwFaE0kyhjIWsAaNcUZXJImLvGIl3rZLXKm/aLzXUSxeUJYXMH9GCyopheimPuXQejxbzKBYr8Pl9GOkLqwZr8ntpqGaUKkq8jWlBbElE6tkQkXxqKYeoFlC+vcNxDc8Px7FjNIaoZm1zwFYeAdrZtEKL95IACZAACZAACZCA/QSoedjP2IsrUOD1YlY9vicedh5PsMXba0W4korfxWzRMcKVxSh6bjqxWbh+/Xq9SvfGjRumGMT7Evgfrx9Wou7+Q8cwODS84XxSFSkVvPJMDcXC6IuI764PlUoVfr9PCYLNNNYyFXALg93+RYhV3rQ1sVg8c29Np5SgK7L9tn5dVes+SRXweCmPdL6kxN2YFlA+ulK1Gw4GUEEVi5mi8rMYjGoYSWjQg1+It3OZAkqVqrJ2GO4L48XhuCMaONLOpoUPC28lARIgARIgARIgAZsJUPOwGbBHp6fA69HEenlbPOy8nF179mZVhZ890XFWKwmkUilcuHBBibpvv/02ZmZmTE0//vyL2HfwGE6ePo0/3PtthEKhpuebWc4jVSiqCt7BeOiZ1/WlkrfZxlpNL9jmjV6yMrHCm1bE4t98NofHywU8WMhCD/oRCPhRKErlchGp3Er1csDvh1S/PjcUfSa3uVIZy9miapqW1MWPN1zPzHy2oOapVH3YMRrF5EBM2XdI07XVlxXWC608Dl56BlrZN+8lARIgARIgARIgAScSoObhxKw4PyYKvM7PESNcQ4CHHR+JdghYVeHXztocYy+BO3fu1Kt0xVe3WCy2vWAwGMTBgwdx6vRpfGXv64iOTCCdL+P5oWjdgqGZyeV1/LtzGcT1oGqkJc3IpAJUfuS1f/FzXSvqNTOvHfd4sXrTjEBasyy4N5/Bk6WCsl6Qklzx35Xq3fmsgXK5gpgeQCpXrnvu1nJTRRWz6YIShpMRDVv7Iwh8bt8hFbzSqE3+vvf5AYwPRJ9p4GiFQN3uM+L2Ku52981xJEACJEACJEACJOA0AtQ8nJYRd8RDgdcdeWKUqwjwsOPjYIZANwUUM3Fz7BcESqUSrl69Whd1b926ZQrP8PAwTp8+jbfeegvHjh1DMplU83lR+FwLiv6rX3501jYdEyuFUrmCUqWinonlfAmpXAnSM08qekXMFzuGmgezzLiUN5THsvy7NFWTZmvSpO7BfAaZYlnZOnz7xWHs2tKnPIyd8AUU7WxMHSMcTAIkQAIkQAIkQAKWEaDmYRnKnpqIAm9Ppdsbm+Vh5408dnsXZir8uh17L64/NzeHc+fOKVFX/lxcXDSFYc+ePUrQlZ+9e/ciEBCP3GevXnhtfa2YOZbQW+YqVhTFSgUT/VFH+Mm2vIE1A6QB3u0nGdyfzyASCqomarVLKnilwZz8KYJtuQosZg1oAanWDdVF3uW8gWK5qvyXE9EgSqUqpHr30UIO0XAQ2weieH4khm9sS0IL+vA0bSBXLGFO/jTE/sGnmrFJtbdUfUvzNjmzIpofQ3FNxSXWEH1685YhzXChnU0zlHgPCZAACZAACZAACdhLgJqHvXy9OjsFXq9m1sP74mHn4eRyayTwOQGpivzoo4+Uj66IulKxK03T2r10XcfRo0eVoHvq1ClMTk42NZXXX1tvJGY2BQjAk1QeIhRvH4xhx2gMUe2LpmLNzuGk+xqJ3sJrajGPJ8t55cMr4qtRqmIpZyhRNqYFVQO95UIRhVJFWTEk9CByxbKq/i1WK9jSp2PbQAQvjcaR1DXVuE2qg+Xxlmpeqe6NhQPPVATL5yFTEA/gFf/fLUld3btjJI6I9uUvJ8zwdEI1sZn4OZYESIAESIAESIAE3E6AmofbM9id+Cnwdoc7VzVBgIedCXgcSgIOJpDP5yEeuiLoys+9e/dMRTsxMVGv0j106BCi0WjL83n9tXVW8H75kdjMtuL+fBZS6TqbKkBao5WrVVWtKxXfxVIFYrcrVb0ixEplr9yzlCupfx/vjyAZ1fAHWxOoAni0mFWVwIVSVVUAf31bAvHwxlW5IihLxbRU9I4P6OiPaNg51tfyc93MANrZNEOJ95AACZAACZAACZCA9QSoeVjPtBdmpMDbC1n22B576bCjjYDHHl5u50sEpqamcObMGSXonj9/Htlstm1K4oG6b9++uqj78ssvt9QYbaOF3fjaerNnx2Zi5mbJWNtM7mtbE45pHrdZ7I1+38h/WUTxR4s5ZAslzGUMNY149Pr9PmWjMJvK4+FCHuGgT1XxRrQg4loQW/p1JPQQvrEtoUTejFFUVhDSjK9YquKlsbiqyhURWA9tXJUrIq9YPYgH8Hh/FC+MxNQ4u65mnyW71ue8JEACJEACJEACJNBrBHpJ8+i13Nq5Xwq8dtLl3LYQ6IXDjpVTtjw6nNQBBMRm4fr16/Uq3Rs3bpiKKpFI4MSJE0rUPXnyJEZGRkzNt9Fgt7y23s7Z0QvN5Fp9KDbzXxarhumlFWuKpeyKHYMSQisVfDqTUtW7pXIVfZEQxvp0jCTCGIppeGH4CwsL8fGdzxbweDEPnx/wwaf8fsVXd/tg42pz+dJhZrmAycEIRvt0bB9qvTq9VSa8nwRIgARIgARIgARIoDMEekHz6AzJ3lqFAm9v5dsTu/XyYecWEckTDxI30TECqVQKFy5cUKKueOrOzMyYWnvXrl31Kt39+/cjFLK20VSj4NoRUE1ttsnBZs6OzcTMjULodCVpkygsu20z/2URd8U/1yhVUCxXsJwvqsreJ0s5UWsRCQawZ/sAoqEgdC2A0b5wvTJXbB3uPs1gPlNA1qhgSyKsGq2JncNoQse2fr2hl7FXK6ctSx4nIgESIAESIAESIAEXE/Cy5uHitDg+dAq8jk8RA1xLwKuHXaPXwDvdSZ1PHQmYJXDnzp26oCu+uoax8ip7O1cwGMTBgweVqHv69GmIwNvty0mvrVtxdmwmZq7l3Ukv2G7luln/5UyhqKp5paJ2Np1XjdXEI1eaqImFQiIS/JJYWyiV8WA+h5lUHkG/D0OxMDKFEuYzhmqgJo3W5M9Gl3jxSsXwRH8UO8fiDW0dusWQ65IACZAACZAACZAACbROwKuaR+skOKIVAhR4W6HFex1BwIuHXbNCQic7qTsi2QzCNQRKpRKuXr1at164deuWqdiHh4eVmCui7rFjx5BMJk3N59XBVp0drcwjFb+L2aKyIRARUvxfd4zEEdE29o11K/9W/JfFNncxV0SmUEYsHMTXtyYQDPjX3Xq+VMLD+TweL+cQDgaUoCvn+9RSHlFt5e9i5xDwS03v+teT1IpFxPbBGHaMfmH94FbWjJsESIAESIAESIAESGCFgBc1D+bWfgIUeO1nzBUsJuDFw47VcxY/JJyuIwTm5uZw7tw5Zbtw9uxZLC4umlp3z549deuFvXv3IhDwnmBoCtA6g608O1oRMyOaH0NxDZFQEM8NRZVvrFevZu0vZP9SxVuqVBDTghhLbFyBu14Fr4wXy4ZiuarGig+vFlxfIF5ZixW8Xn3muC8SIAESIAESIIHeJuBFzaO3M9qZ3VPg7QxnrmIhAa8ddvS/tPDh4FS2EpAKw5s3b9ardKViV5qmtXvpuo6jR48qUffUqVOYnJxsd6qeHGfH2dGsmClVp3rIj4mBqCcrd9d7oDbzXxbR+/FSAffnM0r4loZpG11rPXi3JXX4fD4sZAwUpDI6oWNiILKh7QI9eHvyI89NkwAJkAAJkAAJ9AgBr2kePZK2rm+TAm/XU8AAWiXgtcOOHexbfQJ4fycJ5PN5iIdurUHa3bt3TS0/MTFRr9I9dOgQotGoqfncNthK7147z47NxMzBuKasGXrx2iiHYpfwyUwaDxezCPn9DSt4hdvjpTzmswXMLBVUNXRUCzZdwSvV1lItPDkYwWifju1DvfU56sXnjnsmARIgARIgARLoHQJe0zx6J3Pd3SkF3u7y5+ptEPDSYSdCwa3pZYiXYjpfxvNDUVXF1ezFKq5mSfG+VghMTU3hzJkzStQ9f/48stlsK8OfuVee53379tX9dHfv3t3SM972wg4baLVg2qmzw0pB2mEpsTycVnOSLZYwtZBX53+1CgzHNTxeLmzqwSsN7h4t5OD3QzVxe2Ek1rNiu+VJ5IQkQAIkQAIkQAIk4AACXtI8HICzZ0KgwNszqfbORr102LVa8bVeFunD6J1nu1s7EZuF69ev16t05f/NXIlEAidOnFCVuidPnsTIyIiZ6Vw91i7LA54dznwsWq2qFjuHVKGI2WVDNVkTw5NtyYhqsiYN7NZeIu7KmZ81yhgf0NEf0bBzrM+ZMBgVCZAACZAACZAACZBAWwS8pHm0BYCD2iJAgbctbBzUTQJeOuyyRgm3n2Sa8mzciDk7qXfzaXTv2qlUChcuXKiLujMzM6Y2s2vXrnqV7v79+6Fpmqn5vDC4UdMyv88HEetEqJPKz1ablvHscOYT0qovsjRbe7iQQ7pQxKczaYQCfjw/HMOOkRhi4S8a14n4K3MvZoswxKM3qauq3R0j8Z7xQHZmxhkVCZAACZAACZAACVhPwEuah/V0OONGBCjw8tlwHQEvHXaswrP28ePr5I153rlzB2+//bYSdcVX1zCMthMQDAZx8OBBVaV7+vRpiMDbrcuJeZfK3duzaSXKideqFvCrqsxYOPCMRYUId5lCGQtZoyXhjmdHt562zdf9ZCaFxZyBRwt5ZbcwltAhgv5Gl1Tw3pxaxnK+CC3gQ8AXwPhARI2VYWLfIIJ+uYKWvwjYPFreQQIkQAIkQAIkQAIk4DQCXtI8nMbWy/FQ4PVydj26Ny8ddq16Nq5NKT14V4hY7W/qlY9OqVTC1atXlaArP7du3TK1teHhYSXmys/x48eRTCZNzWd2sJPz3qrI1+qr9zw7zD499o1vRdyvVeWmjRL8AIIBP0biGgrlCgqlCiqVKvx+H8JBPxJ6COFgAHrIj4mBKCt37UshZyYBEiABEiABEiCBrhLwkubRVZA9tjgF3h5LuBe267XDrlXPxtU57PVO6nb5m7r5czI/P49z584pQffs2bNYXFw0tZ09e/aoKl352bt3LwKBgKn5rBjs9Ly3+pp+jUmrzbN4dljxNNkzRyN7jkZVucPxMIxSRVXzSuVu7ZIxIvAOxjU2VLMnZZyVBEiABEiABEiABBxDwGuah2PAejwQCrweT7AXt+e1w65TYpDXngU7/U3dxEqquG/evFmv0pWKXWma1u6l6zqOHj1ar9SdnJxsdypbxrkh750SXnl22PKIWTapmS8inGg7YhkYTkQCJEACJEACJEACJNCQgNc0D6a7MwQo8HaGM1exkIAXDzu7X+e2EL8jpmrlFeh2/E0dsckGQeTzeVy+fLku6t69e9dUyBMTE/Uq3UOHDiEajZqaz67Bbsh7p60TeHbY9bRZN6+TrUSs2yVnIgESIAESIAESIAESsIqAFzUPq9hwno0JUODl0+E6Al487FoRrthJHehFUWtqagpnzpxRou758+eRzWbb/uz6fD7s27dPVemK9cLu3bufafzV9sQ2DzSb975wCM8PxyBWCNL0KhTwI+DfYxlHwAAAIABJREFUuPlVO9vpdPMznh3tZKk7Y1iV2x3uXJUESIAESIAESIAE3EbAi5qH23Lgxngp8Loxaz0es1cPu3Y9G58biqJPD/XMU9Err6WLzcKNGzfqVbrXr183leNEIoETJ04oQffkyZMYGRkxNV+nB5vJ+6ezaeQKZcT1ILYmdUS1oArfDl/TrFHC7ScZ3J/PIBIKYqQv3DKqJ6k8RCjePhjDjtFYPd6NJuLZ0TJiDiABEiABEiABEiABEiABxxLwqubhWOAeCYwCr0cS2Uvb8PJhZ8azsVeegU75m3aDZyqVwoULF5So+/bbb2NmZsZUGLt27apX6e7fvx+appmar5uD28l7oVTGzHIeC5kiZlJ59IWD0LUAhmIa/H4fwkG/alwVDgagh/yYGIgioplrItfpCt5aTnh2dPPp5NokQAIkQAIkQAIkQAIkYB0BL2se1lHiTGsJUODlM+E6Ar1w2NGzcf3HstP+pp34cNy5c0eJuSLqXrp0CYZhtL1sMBjEwYMHVZWu2C+IwOuFq528Z4wSHi/lkS+VsJgp4tFCHlEtgNFEGM8NxgAfkDXKkLkjmh9DcU1V3JqtiG8n1tU5kqZ5d+cyqtp4tE/H17YmWrKR4NnhhSeeeyABEiABEiABEiABEuhlAr2gefRyfu3aOwVeu8hyXtsI9NJhR8/GZx+jblVHWvkwl0olXL16tW69cOvWLVPTDw8PKzFXfo4fP45kMmlqPic+c63mXSp3Hy7kIHYJc2lDee2WyhUEAz6MJSLYPhiFFvRDxFQ7mvC1U21cS5rYLcwsFzA5GFEC7/ah9hreOTGPph5MDiYBEiABEiABEiABEiCBHiHQS5pHj6S0I9ukwNsRzFzESgI87Kyk6a65uuFvagWh+fl5nDt3Tom6Z8+exeLioqlp9+zZo6p05Wfv3r0IBMzZCkgwTq78bDXv4n+bKhQxu2wo64XBWBhL2SIK5Qq2JHRMDESgh75gJk3XxMpBKnrHB3T0RzTsHOtrO0dm/IIfLeTg9wPj/VG8MBJDPLziF8yLBEiABEiABEiABEiABEigNwhQ8+iNPFu9Swq8VhPlfLYT4GFnO2LHLtBqJed6GxEhr1ipYKI/ip1j8WeEPqs2LpWhN2/erFsvXLlyBdI0rd1L13UcPXq0Xqk7OTnZ7lRfGucG79ZW8p4tljC1kIc0KqtWoZqc+X0+zGcKKJarGEvo9Qre1TBE5LVSXP1kJoXFnFG3hpB1JY6NLqtFZsseEE5EAiRAAiRAAiRAAiRAAiTQUQLUPDqK2zOLUeD1TCp7ZyM87Hon12t32m1/00bk8/k8Ll++XLdeuHv3rqlETUxM1Kt0Dx06hGi0vVf1GwUhdgD35rLIFVesDHJGRfm9iletiJEiOtrhU9sqmFbyLr6789kCZpYKylc3qgWVFcPU0ooH70BUwwvDsXV9ba2yR5D9iXB+ezatKqMlJi3gV2vHwgH4Vgm9Epvcs5gtwpAK46SuqnZ3jMRNN3xrlTPvJwESIAESIAESIAESIAES6D4Bah7dz4EbI6DA68as9XjMPOx6+wFwgr9pLQPT09OqSld+zp8/j0wm03ZyRPTbt2+fqtIV64Xdu3c/IwS2PfEGA1sRIO3wqW11P83kvSwNyp5mVLVu1qhgW1JXDDOFEuYzhhJPRWSVP9e7zDY4WztnIwFdNF6pMBb7iXIFljZ6a5Ut7ycBEiABEiABEiABEiABEnAOAWoezsmFmyKhwOumbDFWRYCHXW8/CN30NxWbhRs3btSrdK9fv24qGYlEAidOnFCC7smTJzEyMmJqvlYGu81CoJm8S3O1B/M5zKTyCPp9GIqFVRXybKoAMUcYTejY1q+rqt6NLqstPNxggdHKc8N7SYAESIAESIAESIAESIAE7CVAzcNevl6dnQKvVzPr4X3xsPNwcpvcWifFyXQ6rapza5W6jx8/bjLK9W/buXNn3Xph//790DTN1HztDG5GLF1vXqt9aluNfbO850slPJzP4/FyDuFgAMlISFXuioevePH26SHlv9voEu9euX/7YAw7RmMNxeBW4ndyE7tW9sF7SYAESIAESIAESIAESIAE7CVAzcNevl6dnQKvVzPr4X3xsPNwcpvcWiv2Au34m965c6feIO3SpUswDKPJyL58WzAYxMGDB5WoK/YLu3btansuqwY2Y3ew0VpW+tS2up/N8l6r4BWBt1SuIhTwo1iuYCimIRoOYrw/smlTPasreNfuUfyEJSYRy8XnWGIU32NeJEACJEACJEACJEACJEACJCAEqHnwOWiHAAXedqhxTFcJ8LDrKn7HLG6lv2mpVMLVq1frou7NmzdN7XN4eBinTp1Sou7x48eRTCZNzWfl4FYalq23rtU+ta3urVHeqwDuz2cgIq148E70R9AfDSlRd2uysTWDxNHtvbXKgveTAAmQAAmQAAmQAAmQAAl4jwA1D+/ltBM7osDbCcpcw1ICPOwsxenqycz4m87Pz+PcuXPKT1f+XFhYMMViz549deuFvXv3IhAImJrPrsFiP/DJTBoPF7MI+f0YS6zfcKzR+nZXuW6290Z5n88UVeMyaawme+uPahjtC29auStrdrM6ebM98/ckQAIkQAIkQAIkQAIkQAK9QYCaR2/k2epdUuC1mijns50ADzvbEbtugWb8TWNaAFKZK166IupeuXIF0jSt3UvXdRw5cqRuvTA5OdnuVB0dJ+Ln7ScZVekaCQWVN22rl10+ta3GsV7es8USphbySBeKiGlB7BiNKyuEza5u+wtvFh9/TwIkQAIkQAIkQAIkQAIk0BsEqHn0Rp6t3iUFXquJcj7bCfCwsx2xaxdY629aLhp4/5fvKUFXfu7evWtqbxMTE/Uq3UOHDiEabdywy9RiNg32QgXvWjRr8373aQapQhGPFvKIagFVydtI5BVxd8XWoYzxAR39EQ07x/psygCnJQESIAESIAESIAESIAESIIGNCVDz4NPRDgEKvO1Q45iuEuBh11X8jl98enoaZ86cUYLu+fPnkclk2o7Z5/Phtddeq4u6u3fvhvybmy+3e/A2w36zZmy1OcRzt50mfM3EwHtIgARIgARIgARIgARIgARIoB0C1DzaocYxFHj5DLiOAA8716XM1oDFZuHGjRv1Kt3r16+bWi+RSODEiRNK1D158iRGRkZMzefEwffnshCbhQfzOWxJ6IjrwabDdItPrZVN+JqGwxtJgARIgARIgARIgARIgARIwCQBah4mAfbocAq8PZp4N2+bh52bs2dN7Ol0GhcuXFCirnjqPn782NTEO3furFfp7t+/H5qmmZrP6YOlavWz2QweLWYhNsTjAxFP+tSaacLn9BwyPhIgARIgARIgARIgARIgAW8SoObhzbzavSsKvHYT5vyWE+BhZzlSV0z42Wef1at0L126BMMw2o47GAzi4MGD9QZpu3btansutw78ZCaFxZzREz61zTThi4ebr2J2a84ZNwmQAAmQAAmQAAmQAAmQgPMJUPNwfo6cGCEFXidmhTE1JMDDrjcekFKphGvXrtVF3Zs3b5ra+PDwME6dOqVE3ePHjyOZTJqaz+2De9Gndm0ztlDAj4Df3Z7Kbn8OGT8JkAAJkAAJkAAJkAAJkMCzBKh58IlohwAF3naocUxXCfCw6yp+Wxefn5/HuXPnlKgrfy4sLJhab8+ePXXrhb179yIQCJiaz2uD6VPrtYxyPyRAAiRAAiRAAiRAAiRAAm4nQM3D7RnsTvwUeLvDnauaIMDDzgQ8hw2tVqu4detWvUr3ypUrkKZp7V66ruPIkSN164XJycl2p+qZcfSp7ZlUc6MkQAIkQAIkQAIkQAIkQAIuIEDNwwVJcmCIFHgdmBSG1JgADzt3PyH5fB6XL1+uN0gTb10z18TERL1K99ChQ4hGo2am69mx9Knt2dRz4yRAAiRAAiRAAiRAAiRAAg4iQM3DQclwUSgUeF2ULIa6QoCHnfuehOnpaZw5c0aJuufPn0cmk2l7Ez6fD6+99lpd1N29ezfk33hZQ4A+tdZw5CwkQAIkQAIkQAIkQAIkQAIk0A4Bah7tUOMYCrx8BlxHgIed81MmNgs3btyoWy9cv37dVNCJRAInTpxQou7JkycxMjJiaj4OJgESIAESIAESIAESIAESIAESIAEnEqDm4cSsOD8mCrzOzxEjXEOAh50zH4l0Oo0LFy7UrRceP35sKtCdO3fWq3T3798PTdNMzcfB5gmwutc8Q85AAiRAAiRAAiRAAiRAAiRAAo0IUPPg89EOAQq87VDjmK4S4GHXVfzPLC7+uW+//bYSdS9evAjDMNoOLhgM4uDBg/UGabt27Wp7Lg60lgD9ea3lydlIgARIgARIgARIgARIgARIYCMC1Dz4bLRDgAJvO9Q4pqsEeNh1D3+pVMK1a9fq1gs3b940Fczw8DBOnTqlRN3jx48jmUyamo+DrSWQM8p4uJBFvlhBoVTGcr6IQqmCSqUKv9+HcNCPhB5COBiAHvJjYiCKiBawNgjORgIkQAIkQAIkQAIkQAIkQAI9RICaRw8l28KtUuC1ECan6gwBHnad4VxbZX5+Hu+8844Sdc+ePYuFhQVTAezZswenT59Wou6rr76KQICCoCmgNg1O5Yu4N5dFrljCXNpAzqgg4PchqgXg9/lQqVaRNcoQ24aI5sdQXEMkFMRzQ1H06SGbouK0JEACJEACJEACJEACJEACJOBtAtQ8vJ1fu3ZHgdcuspzXNgI87GxDqyauVqu4detWvUr3ypUrkKZp7V66ruPIkSNK0JVq3e3bt7c7Fcd1iIBU7t6eTUOsGR4v5aEF/BiIaoiFA/D5fPUo5FnJFMpYyBowyhVsSeqIh4PYMRJnJW+HcsVlSIAESIAESIAESIAESIAEvEWAmoe38tmp3VDg7RRprmMZAR52lqGsT1QoFHD58uW6qCveumauiYmJepXu4cOHEY1GzUzHsR0m8MlMCos5A48W8qpidyyhq6rdjS6p5p1ZzquK3vEBHf0RDTvH+jocNZcjARIgARIgARIgARIgARIgAfcToObh/hx2YwcUeLtBnWuaIsDDzhS++uDp6WmcOXNGibrnz59HJpNpe2Kp6nzttddUla787N69+5lKz7Yn5sCOE5Cq3c9mM3i0mIUUbo8PRBqKu7UAReR9tJCD3w+M90fxwkhMVfPyIgESIAESIAESIAESIAESIAESaJ4ANY/mWfHOLwhQ4OXT4DoCPOzaS5nYLNy4cQNvv/22EnU//PDD9ib6fFRfXx9OnDihBN2TJ09idHTU1Hwc7AwC9+eyeJLK48F8DlsSOuJ68yKt+PbOLBcwORjBaJ+O7UOs3HZGVhkFCZAACZAACZAACZAACZCAWwhQ83BLppwVJwVeZ+WD0TRBgIddE5A+vyWdTuPChQtK0BVh9/Hjx80PXufOl156Cd/97neVqLt//35ommZqPg52FgFpmHZrelkJvOl8Gc8PRVuqxBZP3rtzGSUKi8D7ta0J1ZiNFwmQAAmQAAmQAAmQAAmQAAmQQHMEqHk0x4l3PUuAAi+fCNcR4GHXOGXin1ur0r148SIMw2g7x8FgEAcOHKhbL+zatavtuTjQ+QTyxTI+mUnj4WIWIb9fee+2eokXb7FSwUR/FDvH4tBDgVan4P0kQAIkQAIkQAIkQAIkQAIk0LMEqHn0bOpNbZwCryl8HNwNAjzsnqVeKpVw7dq1eoO0mzdvmkrL8PAwTp06pUTd48ePI5lMmpqPg91DIGuUcPtJBvfnM4iEghjpC7ccvFT/ilC8fTCGHaMxRLXmLR5aXowDSIAESIAESIAESIAESIAESMBjBKh5eCyhHdoOBd4OgeYy1hHgYQfMz8/jnXfeUaLu2bNnsbCwYArwnj17cPr0aSXqvvrqqwgEWHVpCqhLB7OC16WJY9gkQAIkQAIkQAIkQAIkQAKeIUDNwzOp7OhGKPB2FDcXs4JALx524m1669atupfulStXUC6X28ap6zqOHDmiBF2p1t2+fXvbc3GgdwjQg9c7ueROSIAESIAESIAESIAESIAE3EmgFzUPd2bKWVFT4HVWPhhNEwR65bArFAq4fPly3XpBvHXNXBMTE/Uq3cOHDyMajZqZjmM9SuD+XFY1WXswn8OWhK4apjV7pfJFzCwXMDkYUU3Wtg/xGWuWHe8jARIgARIgARIgARIgARIgASHQK5oHs20tAQq81vLkbB0g4OXDbnp6GmfOnFFN0t59911kMpm2ifp8Prz22mv1Bmm7d++G/BsvEmhEIF0o4bPZDB4tZlGpAOMDEfibeG4q1SoeLeTg9wPj/VG8MBJDPNy8OMyskAAJkAAJkAAJkAAJkAAJkAAJUODlM9AeAQq87XHjqC4S8JLAW6lU8Nvf/rZepfvhhx+aItvX14cTJ04oUffkyZMYHR01NZ/TBouFQLFcgYiJIjqGAn4E/BStrc7TJzMpLOYMPFrII6oFMJbQG4q8ko+Z5TyyRhnjAzr6Ixp2jvVZHRbnIwESIAESIAESIAESIAESIAHPE/CS5uH5ZDlogxR4HZQMhtIcgdWH3d179zG2dZvtgt/s7CzC4TASiURzQTa4K51O48KFC0rUlWpdqdo1c7300kv47ne/q0Td/fv3Q9M0M9M5cqxUlc6nDSzni6hWvwhRCksTegiDcY3VohZmLmeUcXs2DeH+eCkPLeDHQFRDLBx4pgpcvKHlnsVsEUa5gi1JXeVhx0gcEY2N+ixMCaciARIgARIgARIgARIgARLoEQIUeHsk0RZvkwKvxUA5nf0EVh925z/4CGNbx+uLWi34TU1N4c/+7M/w05/+FH6/H3/+53+Ov//7v1f/38ol/rliuyCi7sWLF2EYRivDn7k3GAziwIEDdeuFXbt2tT2X0weK0PhwIYt8sYJCqawE3kKpgkqlCr/fh3DQrwTecDAAPeTHxECUwqJFSRU/3XtzWeSKJcylDeSMiqqWlope+ZyJ0J41SihXgIjmx1BcQyQUxHNDUfTpIYui4DQkQAIkQAIkQAIkQAIkQAIk0FsEKPD2Vr6t2i0FXqtIcp6OEVh92P3vizeQGN5ii+B3584dHDt2DPLn6utf//Vf8cd//McN91sqlXDt2jUl6Iqw+9FHH5niMzw8jFOnTilR9/jx40gmk6bmc8PgRgKj2DOILYBYAohtAwVGezJKgd0erpyVBEiABEiABEiABEiABEiABDYiQIGXz0Y7BCjwtkONY7pKYPVh9z/P/QbbJyeVP6iVgp8IsiLurmefIBW9//RP//QlBvPz83jnnXeUqHv27FksLCyY4iRN0UTQlZ9XX30VgUDvvPLeikVAplDGQtagRYCpp63xYFpk2AiXU5MACZAACZAACZAACZAACZDAKgIUePk4tEOAAm871DimqwRWH3bv/vr32LJtoh6PeIKaFfw++OAD1aBMBNv1rr/927/Fj370I8haH3/8cb1B2pUrV1Aul9tmo+s6jhw5ogRdqdbdvn1723O5fSCbfDkzg2xy58y8MCoSIAESIAESIAESIAESIAHvEKDA651cdnInFHg7SZtrWULgGYH3g4+wZZUHb20BqeadWc6rV/jHB3T0RzTsHOvbdH3xx/3e974HaYS23vWNb3wDf/M3f4N3331XCbvirWvmGh8fr1fpHj58GNFo1Mx0nhgr1aKfzWbwaDGLSgUYH4ioCu3NLsn5o4UcxB55vD+KF0ZibLy2GTT+ngRIgARIgARIgARIgARIgARIwFEEKPA6Kh2uCYYCr2tSxUBrBJoReOXeVgW/n/zkJ/j+97+PQqGwLuz+/n7VHC2bzbadDJ/Ph9dee02JuqdPn8aePXsg/8brCwL357J4ksrjwXwOWxI64nqwaTzi2zuzXMDkYASjfTq2D1EwbxoebyQBEiABEiABEiABEiABEiABEug6AQq8XU+BKwOgwOvKtPV20M0KvEKpWcFPGqf94Ac/MGWxsFFW+vr6cOLECSXqivXD6Ohobyewwe7FAuDW9LISeNP5Mp4firYkgIttxt25jBKFReD92tYEAn4K6HzgSIAESIAESIAESIAESIAESIAE3EGAAq878uS0KCnwOi0jjGdTAq0IvM0Ifv/4j/+Iv/iLv9h03VZueOmll/Dd735XVekeOHAAmqa1Mrxn780Xy/hkJo2Hi1mE/H6MJfSWWYg1R7FSwUR/FDvH4tBDvdOcrmVYHEACJEACJEACJEACJEACJEACJOAoAhR4HZUO1wRDgdc1qWKgNQKtCLwyZiPBT8TfH/7wh/jxj39sGm4wGFRCrlTpys+uXbtMz9mLE2SNEm4/yeD+fAaRUBAjfeGWMUj1rwjF2wdj2DEaQ1Rr3uKh5cU4gARIgARIgARIgARIgARIgARIgAQsJECB10KYPTQVBd4eSrZXttqqwLuR4CdVu1K92+41PDyMU6dOqSrd48ePQzx6eZkjwApec/w4mgRIgARIgARIgARIgARIgARIwN0EKPC6O3/dip4Cb7fIc922CbQq8G5UwRuJRJDP51uKQ6wWXnzxRRw+fBh/9Vd/hbGxsZbG8+bGBOjByyeEBEiABEiABEiABEiABEiABEiglwlQ4O3l7Le/dwq87bPjyC4RaEXgbeTBGw6HYRhG27uIx+P48MMP8ZWvfKXtOTjwywTuz2VVk7UH8zlsSeiqYVqzV7NN9Zqdj/eRAAmQAAmQAAmQAAmQAAmQAAmQQCcJUODtJG3vrEWB1zu57JmdtCLwNhL8vve97+GnP/2pKW7f//738W//9m+m5uDgZwmkCyV8NpvBo8UsKhVgfCACv8+3KaZKtYpHCzn4/cB4fxQvjMQQDzcvDm+6AG8gARIgARIgARIgARIgARIgARIgAZsJUOC1GbBHp6fA69HEenlbzQq8mwl+hUIBf/Inf4Kf/OQnyOVybSE7ePAgLl++3NZYDtqYwCczKSzmDDxayCOqBTCW0BuKvJJrseLIGmWMD+joj2jYOdZHxCRAAiRAAiRAAiRAAiRAAiRAAiTgKgIUeF2VLscES4HXMalgIM0SaEbgbVXwy2azuHnzJv7zP/8T//Ef/1H/c3Z2tmFY//AP/4C//Mu/bDZ03tckgZxRxu3ZNKSa9/FSHlrAj4Gohlg4AN+qal6x4JB7FrNFGOUKtiR1VbW7YySOiBZocjXeRgIkQAIkQAIkQAIkQAIkQAIkQALOIECB1xl5cFsUFHjdljHGi2cE3l//Hlu2TdSpWC34zczMKLF3tfD78ccfQ/x3f/jDH+Kv//qvEQqFmBUbCIi9xr25LHLFEubSBnJGBQG/T1X0isZbrQJZo4RyBYhofgzFNURCQTw3FEWfzpzYkBJOSQIkQAIkQAIkQAIkQAIkQAIkYDMBCrw2A/bo9BR4PZpYL29r9WH3P8/9BtsnJyn4eTThUsn7cCGLfLGCQqmM5XwRhVIFlUoVfr8P4aAfCT2EcDAAPeTHxECUlbsefRa4LRIgARIgARIgARIgARIgARLoBQIUeHshy9bvkQKv9Uw5o80EVh92//viDSSGt1Dws5l5t6cXG4b5tKEEXqncrV1SySsC72BcY0O1bieJ65MACZAACZAACZAACZAACZAACZgmQIHXNMKenIACb0+m3d2bXn3Ynf/gI4xtHafg5+6UNh19uVJFsVyBeCz7fT6EAn5l28CLBEiABEiABEiABEiABEiABEiABLxAgAKvF7LY+T1Q4O08c65oksDqw+7uvfsY27qNgp9JphxOAiRAAiRAAiRAAiRAAiRAAiRAAiTQfQIUeLufAzdGQIHXjVnr8Zh52PX4A8DtkwAJkAAJkAAJkAAJkAAJkAAJkIBHCVDz8Ghibd4WBV6bAXN66wnwsLOeKWckARIgARIgARIgARIgARIgARIgARLoPgFqHt3PgRsjoMDrxqz1eMw87Hr8AeD2SYAESIAESIAESIAESIAESIAESMCjBKh5eDSxNm+LAq/NgDm99QR42FnPlDOSAAmQAAmQAAmQAAmQAAmQAAmQAAl0nwA1j+7nwI0RUOB1Y9Z6PGYedj3+AHD7JEACJEACJEACJEACJEACJEACJOBRAtQ8PJpYm7dFgddmwJzeegI87KxnyhlJgARIgARIgARIgARIgARIgARIgAS6T4CaR/dz4MYIKPC6MWs9HjMPux5/ALh9EiABEiABEiABEiABEiABEiABEvAoAWoeHk2szduiwGszYE5vPQEedtYz5YwkQAIkQAIkQAIkQAIkQAIkQAIkQALdJ0DNo/s5cGMEFHjdmLUux5xOp3Hjxg188MEH6uc3v/kN7t69q6J67rnn6v9vV5g87Owiy3lJgARIgARIgARIgARIgARIgARIgAS6SYCaRzfpu3dtCrzuzV3XIj906BAuXbq07voUeLuWFi5MAiRAAiRAAiRAAiRAAiRAAiRAAiTgcgIUeF2ewC6FT4G3S+DdvOwbb7yBy5cvqy0MDg7ilVdewdWrVyGVvRR43ZxZxk4CJEACJEACJEACJEACJEACJEACJNBNAhR4u0nfvWtT4HVv7roW+T//8z+jr68Pe/fuxUsvvaTieP7553Hv3j0KvF3LChcmARIgARIgARIgARIgARIgARIgARJwOwEKvG7PYHfip8DbHe6eW5UCr+dSyg2RAAmQAAmQAAmQAAmQAAmQAAmQAAl0mAAF3g4D98hyFHg9kshub4MCb7czwPVJgARIgARIgARIgARIgARIgARIgATcToACr9sz2J34KfB2h7vnVqXA67mUckMkQAIkQAIkQAIkQAIkQAIkQAIkQAIdJkCBt8PAPbIcBV6PJLLb26DA2+0McH0SIAESIAESIAESIAESIAESIAESIAG3E6DA6/YMdid+Crzd4e65Va0UeOUwa3RNT0/j1VdfVbc8ePAAExMTnuPJDZEACZAACZAACZAACZAACZAACZAACfQeAQq8vZdzK3a8yqCmAAAgAElEQVRMgdcKipwDVgq8Pp+vaaIUeJtGxRtJgARIgARIgARIgARIgARIgARIgAQcToACr8MT5NDwKPA6NDFuC4sCr9syxnhJgARIgARIgARIgARIgARIgARIgAScRoACr9My4o54KPC6I08tR9lKFexGk//4xz/GD37wg6bWtlLgpUVDU8h5EwmQAAmQAAmQAAmQAAmQAAmQAAmQgMcIUOD1WEI7tB0KvB0C3ell3CzwbsaKh91mhPh7EiABEiABEiABEiABEiABEiABEiABNxKg5uHGrHU/Zgq83c+BLRF8/PHHpufdunUrkslkU/NYWcG72YI87DYjxN+TAAmQAAmQAAmQAAmQAAmQAAmQAAm4kQA1DzdmrfsxU+Dtfg48EQEFXk+kkZsgARIgARIgARIgARIgARIgARIgARLoIgEKvF2E7+KlKfC6OHlOCp0Cr5OywVhIgARIgARIgARIgARIgARIgARIgATcSIACrxuz1v2YKfB2PweeiIACryfSyE2QAAmQAAmQAAmQAAmQAAmQAAmQAAl0kQAF3i7Cd/HSFHhdnDwnhU6B10nZYCwkQAIkQAIkQAIkQAIkQAIkQAIkQAJuJECB141Z637MFHi7nwPXRfDpp5/i/ffffybuH/3oR5ibm8PQ0BD+7u/+7pnfvfnmm9iyZYtl++RhZxlKTkQCJEACJEACJEACJEACJEACJEACJOAgAtQ8HJQMF4VCgddFyXJKqP/yL/+CP/3TP206nIsXL+KNN95o+v7NbuRhtxkh/p4ESIAESIAESIAESIAESIAESIAESMCNBKh5uDFr3Y+ZAm/3c+C6CCjwui5lDJgESIAESIAESIAESIAESIAESIAESMAFBCjwuiBJDgyRAq8Dk8KQGhPgYccnhARIgARIgARIgARIgARIgARIgARIwIsEqHl4Mav274kCr/2MuYLFBHjYWQyU05EACZAACZAACZAACZAACZAACZAACTiCADUPR6TBdUFQ4HVdyhgwDzs+AyRAAiRAAiRAAiRAAiRAAiRAAiRAAl4kQM3Di1m1f08UeO1nzBUsJsDDzmKgnI4ESIAESIAESIAESIAESIAESIAESMARBKh5OCINrguCAq/rUsaAedjxGSABEiABEiABEiABEiABEiABEiABEvAiAWoeXsyq/XuiwGs/Y65gMQEedhYD5XQkQAIkQAIkQAIkQAIkQAIkQAIkQAKOIEDNwxFpcF0QFHhdlzIGzMOOzwAJkAAJkAAJkAAJkAAJkAAJkAAJkIAXCVDz8GJW7d8TBV77GXMFiwnwsLMYKKcjARIgARIgARIgARIgARIgARIgARJwBAFqHo5Ig+uCoMDrupQxYB52fAZIgARIgARIgARIgARIgARIgARIgAS8SICahxezav+eKPDaz5grWEyAh53FQDkdCZAACZAACZAACZAACZAACZAACZCAIwhQ83BEGlwXBAVe16WMAfOw4zNAAiRAAiRAAiRAAiRAAiRAAiRAAiTgRQLUPLyYVfv3RIHXfsZcwWICPOwsBsrpSIAESIAESIAESIAESIAESIAESIAEHEGAmocj0uC6ICjwui5lDJiHHZ8BEiABEiABEiABEiABEiABEiABEiABLxKg5uHFrNq/Jwq89jPmChYT4GFnMVBORwIkQAIkQAIkQAIkQAIkQAIkQAIk4AgC1DwckQbXBUGB13UpY8A87PgMkAAJkAAJkAAJkAAJkAAJkAAJkAAJeJEANQ8vZtX+PVHgtZ8xV7CYAA87i4FyOhIgARIgARIgARIgARIgARIgARIgAUcQoObhiDS4LggKvK5LGQPmYcdngARIgARIgARIgARIgARIgARIgARIwIsEqHl4Mav274kCr/2MuYLFBHjYWQyU05EACZAACZAACZAACZAACZAACZAACTiCADUPR6TBdUFQ4HVdyhgwDzs+AyRAAiRAAiRAAiRAAiRAAiRAAiRAAl4kQM3Di1m1f08UeO1nzBUsJsDDzmKgnI4ESIAESIAESIAESIAESIAESIAESMARBKh5OCINrguCAq/rUsaAedjxGSABEiABEiABEiABEiABEiABEiABEvAiAWoeXsyq/XuiwGs/Y65gMQEedhYD5XQkQAIkQAIkQAIkQAIkQAIkQAIkQAKOIEDNwxFpcF0QFHhdlzIGzMOOzwAJkAAJkAAJkAAJkAAJkAAJkAAJkIAXCVDz8GJW7d8TBV77GXMFiwnwsLMYKKcjARIgARIgARIgARIgARIgARIgARJwBAFqHo5Ig+uCoMDrupQxYB52fAZIgARIgARIgARIgARIgARIgARIgAS8SICahxez+n/bu/OYq4uzf8ADgqJAMK5VLGpc/xBpLGDBjaU1jUqM+4JVm2IMsbWJC1ZbEZIaNWpttWmMS7StoWitTYs20dgiLnVDtJKqGFuwao1bVaxLXeDN9/v7aapFlMPMc2bmXCd501d5zsx9X/ecAT+c5zzpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZAp22TkDBAgQIECAAAECBAgQIECAQI0CMo8ap5q+JwFvemM7RBZw2UUGtRwBAgQIECBAgAABAgQIECCQhYDMI4sxFFeEgLe4kSnYZecMECBAgAABAgQIECBAgAABAjUKyDxqnGr6ngS86Y3tEFnAZRcZ1HIECBAgQIAAAQIECBAgQIBAFgIyjyzGUFwRAt7iRqZgl50zQIAAAQIECBAgQIAAAQIECNQoIPOocarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZAp22TkDBAgQIECAAAECBAgQIECAQI0CMo8ap5q+JwFvemM7RBZw2UUGtRwBAgQIECBAgAABAgQIECCQhYDMI4sxFFeEgLe4kSnYZecMECBAgAABAgQIECBAgAABAjUKyDxqnGr6ngS86Y3tEFnAZRcZ1HIECBAgQIAAAQIECBAgQIBAFgIyjyzGUFwRAt7iRqZgl50zQIAAAQIECBAgQIAAAQIECNQoIPOocarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZAp22TkDBAgQIECAAAECBAgQIECAQI0CMo8ap5q+JwFvemM7RBZw2UUGtRwBAgQIECBAgAABAgQIECCQhYDMI4sxFFeEgLe4kSnYZecMECBAgAABAgQIECBAgAABAjUKyDxqnGr6ngS86Y3tEFnAZRcZ1HIECBAgQIAAAQIECBAgQIBAFgIyjyzGUFwRAt7iRqZgl50zQIAAAQIECBAgQIAAAQIECNQoIPOocarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZAp22TkDBAgQIECAAAECBAgQIECAQI0CMo8ap5q+JwFvemM7RBZw2UUGtRwBAgQIECBAgAABAgQIECCQhYDMI4sxFFeEgLe4kSnYZecMECBAgAABAgQIECBAgAABAjUKyDxqnGr6ngS86Y3tEFnAZRcZ1HIECBAgQIAAAQIECBAgQIBAFgIyjyzGUFwRAt7iRqZgl50zQIAAAQIECBAgQIAAAQIECNQoIPOocarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZAp22TkDBAgQIECAAAECBAgQIECAQI0CMo8ap5q+JwFvemM7RBZw2UUGtRwBAgQIECBAgAABAgQIECCQhYDMI4sxFFeEgLe4kSnYZecMECBAgAABAgQIECBAgAABAjUKyDxqnGr6ngS86Y3tEFnAZRcZ1HIECBAgQIAAAQIECBAgQIBAFgIyjyzGUFwRAt7iRqZgl50zQIAAAQIECBAgQIAAAQIECNQoIPOocarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZN0veNmyZWHevHnhjjvuCI8++mh47rnnwooVK8Imm2wSRo8eHY488shw6KGHhgEDBiQp1mWXhNWiBAgQIECAAAECBAgQIECAQJcFZB5dHkCh2wt4Cx1ct8o+++yzw7nnnhtWrly52hLGjBkTbrzxxjBixIjopbrsopNakAABAgQIECBAgAABAgQIEMhAQOaRwRAKLEHAW+DQulnytGnTwtVXXx0GDx4cDjrooDB58uSwww47hEGDBoXHH388XHrppeHBBx9sS2z+/aJFi8KQIUOiluyyi8ppMQIECBAgQIAAAQIECBAgQCATAZlHJoMorAwBb2ED63a5Z5xxRth4443D9OnTw9ChQ/+nnA8++CAcffTR4YYbbmh/bfbs2WHmzJlRy3bZReW0GAECBAgQIECAAAECBAgQIJCJgMwjk0EUVoaAt7CBlVDuK6+8Erbccsvw7rvvhpEjR7af0xvz4bKLqWktAgQIECBAgAABAgQIECBAIBcBmUcukyirDgFvWfMqptrmM3gXLlwYNthgg/Dmm29GrdtlF5XTYgQIECBAgAABAgQIECBAgEAmAjKPTAZRWBkC3sIGVkq5u+66a1i8eHH7MQ7Lly+PWrbLLiqnxQgQIECAAAECBAgQIECAAIFMBGQemQyisDIEvIUNrIRyX3zxxTB8+PDw/vvvh7Fjx4b7778/atkuu6icFiNAgAABAgQIECBAgAABAgQyEZB5ZDKIwsoQ8BY2sBLKPf3008NFF13Ultr876mnnrpGZTeX2eoezz//fBscN49nnnkmbLXVVmu0vi8mQIAAAQIECBAgQIAAAQIECOQoIODNcSr51yTgzX9GRVXYvFt3zz33bN+92wSvS5YsaT+Hd00e/fr1+9xfLuD93FS+kAABAgQIECBAgAABAgQIEMhcQMCb+YAyLU/Am+lgSizrhRdeCKNHjw7NZdSEtLfffnuYNGnSGrci4F1jMk8gQIAAAQIECBAgQIAAAQIEKhAQ8FYwxC60IODtAnpfbLkmIemn1XPNNdeE448//nOV+8Ybb4SJEyeGhx56qP36Cy64IMyYMeNzPfeTX+QjGjpi8yQCBAgQIECAAAECBAgQIECgcAEBb+ED7FL5At4uwafeti8D3nfeeSfst99+Yf78+W1bp512WrjwwguTteiyS0ZrYQIECBAgQIAAAQIECBAgQKCLAjKPLuIXvLWAt+Dhra70J554Yq0722KLLcKwYcNWu07zWbsHH3xwmDdvXvt106ZNC1deeeVa7726BVx2SXktToAAAQIECBAgQIAAAQIECHRJQObRJfjCtxXwFj7Abpa/YsWKMHXq1DB37ty2jCOOOCLMmTMn9O/fP2lZLrukvBYnQIAAAQIECBAgQIAAAQIEuiQg8+gSfOHbCngLH2A3yz/hhBPCVVdd1ZYwZcqUcNNNN4UBAwYkL8lll5zYBgQIECBAgAABAgQIECBAgEAXBGQeXUCvYEsBbwVD7EYLp5xySrjkkkvarSdPnhxuueWWsN566/VJKS67PmG2CQECBAgQIECAAAECBAgQINDHAjKPPgavZDsBbyWD7Ms2Zs2aFWbPnt1uOX78+HDbbbeFwYMH91kJLrs+o7YRAQIECBAgQIAAAQIECBAg0IcCMo8+xK5oKwFvRcPsi1Yuu+yycPLJJ7dbDR8+PFx//fWf+YPYdtpppzBw4MBo5bnsolFaiAABAgQIECBAgAABAgQIEMhIQOaR0TAKKoHwNgMAACAASURBVEXAW9Cwcih1woQJYcGCBWtUytKlS8M222yzRs9Z3Re77KJRWogAAQIECBAgQIAAAQIECBDISEDmkdEwCipFwFvQsHIoVcCbwxTUQIAAAQIECBAgQIAAAQIECNQoIOCtcarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZAp22TkDBAgQIECAAAECBAgQIECAQI0CMo8ap5q+JwFvemM7RBZw2UUGtRwBAgQIECBAgAABAgQIECCQhYDMI4sxFFeEgLe4kSnYZecMECBAgAABAgQIECBAgAABAjUKyDxqnGr6ngS86Y3tEFnAZRcZ1HIECBAgQIAAAQIECBAgQIBAFgIyjyzGUFwRAt7iRqZgl50zQIAAAQIECBAgQIAAAQIECNQoIPOocarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZAp22TkDBAgQIECAAAECBAgQIECAQI0CMo8ap5q+JwFvemM7RBZw2UUGtRwBAgQIECBAgAABAgQIECCQhYDMI4sxFFeEgLe4kSnYZecMECBAgAABAgQIECBAgAABAjUKyDxqnGr6ngS86Y3tEFnAZRcZ1HIECBAgQIAAAQIECBAgQIBAFgIyjyzGUFwRAt7iRqZgl50zQIAAAQIECBAgQIAAAQIECNQoIPOocarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kamYJedM0CAAAECBAgQIECAAAECBAjUKCDzqHGq6XsS8KY3tkNkAZddZFDLESBAgAABAgQIECBAgAABAlkIyDyyGENxRQh4ixuZgl12zgABAgQIECBAgAABAgQIECBQo4DMo8appu9JwJve2A6RBVx2kUEtR4AAAQIECBAgQIAAAQIECGQhIPPIYgzFFSHgLW5kCnbZOQMECBAgQIAAAQIECBAgQIBAjQIyjxqnmr4nAW96YztEFnDZRQa1HAECBAgQIECAAAECBAgQIJCFgMwjizEUV4SAt7iRKdhl5wwQIECAAAECBAgQIECAAAECNQrIPGqcavqeBLzpje0QWcBlFxnUcgQIECBAgAABAgQIECBAgEAWAjKPLMZQXBEC3uJGpmCXnTNAgAABAgQIECBAgAABAgQI1Cgg86hxqul7EvCmN7ZDZAGXXWRQyxEgQIAAAQIECBAgQIAAAQJZCMg8shhDcUUIeIsbmYJdds4AAQIECBAgQIAAAQIECBAgUKOAzKPGqabvScCb3tgOkQVcdpFBLUeAAAECBAgQIECAAAECBAhkISDzyGIMxRUh4C1uZAp22TkDBAgQIECAAAECBAgQIECAQI0CMo8ap5q+JwFvemM7RBZw2UUGtRwBAgQIECBAgAABAgQIECCQhYDMI4sxFFeEgLe4kSnYZecMECBAgAABAgQIECBAgAABAjUKyDxqnGr6ngS86Y3tEFnAZRcZ1HIECBAgQIAAAQIECBAgQIBAFgIyjyzGUFwRAt7iRqZgl50zQIAAAQIECBAgQIAAAQIECNQoIPOocarpexLwpje2Q2QBl11kUMsRIECAAAECBAgQIECAAAECWQjIPLIYQ3FFCHiLG5mCXXbOAAECBAgQIECAAAECBAgQIFCjgMyjxqmm70nAm97YDpEFXHaRQS1HgAABAgQIECBAgAABAgQIZCEg88hiDMUVIeAtbmQKdtk5AwQIECBAgAABAgQIECBAgECNAjKPGqeavicBb3pjO0QWcNlFBrUcAQIECBAgQIAAAQIECBAgkIWAzCOLMRRXhIC3uJEp2GXnDBAgQIAAAQIECBAgQIAAAQI1Csg8apxq+p4EvOmN7RBZwGUXGdRyBAgQIECAAAECBAgQIECAQBYCMo8sxlBcEQLe4kam4GXLloVtt922hXjggQfCFltsAYUAAQIECBAgQIAAAQIECBAgULzA888/H8aOHdv2sXTp0rDNNtsU35MG0gsIeNMb2yGywIMPPvjRZRd5acsRIECAAAECBAgQIECAAAECBLIQaN7UNmbMmCxqUUTeAgLevOejulUICHgdCwIECBAgQIAAAQIECBAgQKB2AQFv7ROO15+AN56llfpI4J133gmLFy9ud9t0003DgAED+mhn23Qq8N/fYuJjNTpV9DwCny7gNeZ0EEgr4DWW1tfqBLzGnAECaQW8xtL6xl79/fffDy+99FK77MiRI8OgQYNib2G9CgUEvBUOVUsEchPwIfG5TUQ9tQl4jdU2Uf3kJuA1lttE1FObgNdYbRPVT24CXmO5TUQ9BOILCHjjm1qRAIFPCPgDhSNBIK2A11haX6sT8BpzBgikFfAaS+trdQJeY84AgfoFBLz1z1iHBLou4A8UXR+BAioX8BqrfMDa67qA11jXR6CAygW8xiofsPa6LuA11vURKIBAcgEBb3JiGxAg4A8UzgCBtAJeY2l9rU7Aa8wZIJBWwGssra/VCXiNOQME6hcQ8NY/Yx0S6LqAP1B0fQQKqFzAa6zyAWuv6wJeY10fgQIqF/Aaq3zA2uu6gNdY10egAALJBQS8yYltQICAP1A4AwTSCniNpfW1OgGvMWeAQFoBr7G0vlYn4DXmDBCoX0DAW/+MdUig6wL+QNH1ESigcgGvscoHrL2uC3iNdX0ECqhcwGus8gFrr+sCXmNdH4ECCCQXEPAmJ7YBAQL+QOEMEEgr4DWW1tfqBLzGnAECaQW8xtL6Wp2A15gzQKB+AQFv/TPWIQECBAgQIECAAAECBAgQIECAAAEClQoIeCsdrLYIECBAgAABAgQIECBAgAABAgQIEKhfQMBb/4x1SIAAAQIECBAgQIAAAQIECBAgQIBApQIC3koHqy0CBAgQIECAAAECBAgQIECAAAECBOoXEPDWP2MdEiBAgAABAgQIECBAgAABAgQIECBQqYCAt9LBaosAAQIECBAgQIAAAQIECBAgQIAAgfoFBLz1z1iHBAgQIECAAAECBAgQIECAAAECBAhUKiDgrXSw2iJAgAABAgQIECBAgAABAgQIECBAoH4BAW/9M9YhAQIECBAgQIAAAQIECBAgQIAAAQKVCgh4Kx2stggQIECAAAECBAgQIECAAAECBAgQqF9AwFv/jHVIIGuBZcuWhXnz5oU77rgjPProo+G5554LK1asCJtsskkYPXp0OPLII8Ohhx4aBgwYkHUfiiOQq8C///3vsGjRovDAAw+0//fggw+G5nXXPLbeeuuP/v9c61cXgW4KPP300+HSSy8Nt9xyS3jmmWfCeuutF7bbbrtw+OGHh5NOOilssMEG3SzP3gSKFXjxxRc/9vtS83vTK6+80vZz3HHHhWuvvbbY3hROIAeBhQsXhj/84Q/h7rvvDo899lh46aWXwsCBA8OWW24Z9thjj/Ctb30r7LnnnjmUqgYCBCIJCHgjQVqGAIE1Fzj77LPDueeeG1auXLnaJ48ZMybceOONYcSIEWu+iWcQ6HGBiRMntn+BsqqHgLfHD4f2VyvQ/OXjMcccE5YvX77Kr9txxx3b4Hf77bcnSYDAGgr069fvU58h4F1DTF9O4BMCe++9d7jrrrs+0+XYY48NV155ZVh33XU/82t9AQEC+QsIePOfkQoJVCswbdq0cPXVV4fBgweHgw46KEyePDnssMMOYdCgQeHxxx9v3zXVvKOjeTT/vnkX4pAhQ6r10BiBFAITJkwICxYsaJfeaKON2nfG//nPfw7NO3sFvCnErVmDwMMPP9y+w+ntt99uf98588wzQ/OXJc0/z507t/0P4ubRhLzNu6SGDh1aQ9t6INBnAv8d8DZ/gb/zzjuH2267rd1fwNtnY7BRpQLNXzz+7W9/a9+te9hhh4W99tqrfaPMBx98EO69995w8cUXt9812TyOOuqoMGfOnEoltEWgtwQEvL01b90SyErgjDPOCBtvvHGYPn36Kv/juPlDyNFHHx1uuOGGtu7Zs2eHmTNnZtWDYgjkLnDFFVe0r6/mnfAfvtNwm222Cc23ngt4c5+e+rol8OG7n5qPB7rzzjvDuHHjPlbKhRdeGGbMmNH+u3POOSfMmjWrW6Xal0CRAs3rpvl9qfm/zTffvP24oG233VbAW+Q0FZ2bwAEHHBCad+cecsghYZ111vmf8l5++eX2LzGffPLJ9teaNwI0v+95ECBQtoCAt+z5qZ5A9QLN57E1f/v87rvvhpEjR7af0+tBgMDaCQh4187Ps+sWaD6revfdd2+bPPHEE8Pll1/+Pw03nxW/yy67tN9tsuGGG4bm80Sbzzb0IECgMwEBb2dunkWgU4Gbb745TJkypX36d77znfY7Jz0IEChbQMBb9vxUT6AnBJp3dzTfAtv8MJs333yzJ3rWJIGUAgLelLrWLl3grLPOCuedd17bxn333fdR2PvJvs4///z2oxuax6233hr23Xff0ltXP4GuCQh4u0Zv4x4VaP6b6sOPvttvv/3az5T3IECgbAEBb9nzUz2BnhDYddddw+LFi9tvM/+0H3bTExCaJBBJQMAbCdIyVQp8+PEMzefDv/baa6H5mIZVPZrPMRw/fnz7S83HBzUfI+RBgEBnAgLeztw8i0CnAv/617/aj8prHs07eX//+993upTnESCQiYCAN5NBKIMAgVULNN/2Onz48PD++++HsWPHhvvvvx8VAQJrKSDgXUtAT69aYNNNNw3N5xOOGjUqPPLII5/a66uvvtr+4MLm0fwQmw8/L75qHM0RSCQg4E0Ea1kCnyLw29/+Nhx88MHtrzafKX/BBRewIkCgcAEBb+EDVD6B2gVOP/30cNFFF7VtNv976qmn1t6y/ggkFxDwJie2QaEC77zzTlh//fXb6vfff//QfEbh6h7Nt7c23+b6la98pf3J5B4ECHQmIODtzM2zCHQi0HyOfPPDQ5vPnG8ezUfhffnLX+5kKc8hQCAjAQFvRsNQCgECHxdo3q275557tu/e3WqrrcKSJUvaz+H1IEBg7QQEvGvn59n1Crz00kths802axs84ogjwty5c1fb7Oabb97+gLXmB641HyXkQYBAZwIC3s7cPItAJwIXX3xxOO2009qnNu/i/c1vftPJMp5DgEBmAgLezAaiHAIE/p/ACy+8EEaPHh2effbZ0K9fv3D77beHSZMm4SFAIIKAgDcCoiWqFHjmmWfCiBEj2t6+8Y1vhF/84her7bP52uY52223XXjqqaeqNNEUgb4QEPD2hbI9CISwYMGC8NWvfrV9A03zF5rNX05++BebfAgQKFtAwFv2/FRPoE8EmoB1bR/XXHNNOP744z/XMm+88UaYOHFieOihh9qvbz4TqvlsKA8CtQr09WtMwFvrSdLX2gp4B+/aCno+gc4EBLyduXkWgTUR+Otf/xr22muv0HyG/KBBg8Ktt94amh8s6kGAQB0CAt465qgLAkkF+jJ8aj7/cL/99gvz589ve2q+fejCCy9M2p/FCXRboC9fY02vAt5uT9z+uQr4DN5cJ6Ou2gUEvLVPWH/dFli6dGn70Xf//Oc/wzrrrNN+LMOBBx7Y7bLsT4BARAEBb0RMSxGoVeCJJ55Y69a22GKLMGzYsNWu03yrUPM5UPPmzWu/btq0aeHKK69c670tQCB3gb56jX3oIODN/USor5sCm2yySXjllVfCqFGjwiOPPPKppTTvgNpoo43aXz/ssMPCDTfc0M2y7U2gaAEBb9HjU3zmAk2o27xz9+9//3v70XfXXnttOPbYYzOvWnkECKypgIB3TcV8PQECSQSan+Y6derUj36gTfPDbebMmRP69++fZD+LEuhlAQFvL09f758l0Hy76l133RUGDx4cXnvttTBgwIBVPuXee+8N48ePb39t5syZYfbs2Z+1tF8nQOBTBAS8jgaBNAIvv/xy2GeffcJjjz3WbvDTn/40nHTSSWk2syoBAl0VEPB2ld/mBAh8KHDCCSeEq666qv3HKVOmhJtuuulT/6OaGgECaycg4F07P8+uW+Css84K5513XtvkfffdF3bfffdVNnz++eeHM888s/215nMM991337phdEcgoYCANyGupXtW4PXXX29/SPWiRYtag+b3rTPOOKNnPTROoHYBAW/tE9YfgQIETjnllHDJJZe0lU6ePDnccsstYb311iugciUSKFNAwFvm3FTdNwIPPPDAR6HuiSeeGC6//PL/2bj5rpNddtklPP7442HDDTcML774Yhg4cGDfFGgXAhUKCHgrHKqWuirw1ltvtX/xeM8997R1fP/73w8//OEPu1qTzQkQSCsg4E3ra3UCBD5DYNasWR99W2vzra633XZb+22xHgQIpBMQ8KaztXIdAh9+TEPz8Qx33nlnGDdu3Mcaa37454wZM9p/d84554Tm9zIPAgQ6FxDwdm7nmQQ+KfDuu++23xHZ/HdV8/jud78bfvzjH4MiQKByAQFv5QPWHoGcBS677LJw8skntyUOHz48XH/99Z/5g9h22mkn75LKeahqy07gqaeeCnfffffH6jrttNPaHyK18cYbh4suuuhjv/b1r389fOELX8iuDwUR6EuBhx9+OOyxxx7h7bffDkOGDAnNxzZMnDix/ee5c+eGK664oi1nxx13DAsXLgxDhw7ty/LsRaB4geb3peb3pw8fzeeEnn766e0/Nq+95gft/vfj+OOPL75nDRDoK4FDDjmk/bi75tF8REMT7jY/XO3THuuuu277+5kHAQJlCwh4y56f6gkULTBhwoSwYMGCNeph6dKloXn3oQcBAp9PoPlJyd/85jc/3xeHEObPnx+a16YHgV4XmDdvXjjmmGPC8uXLV0nR/Mdw85FC22+/fa9T6Z/AGgs0ge3Pf/7zz/28lStXfu6v9YUEel1gdWHuqmy23nrr0LyL3oMAgbIFBLxlz0/1BIoWEPAWPT7FFyIg4C1kUMrMUuDpp58OP/nJT9og99lnnw3Nu5yaQPewww4L3/72t8MGG2yQZd2KIpC7gIA39wmpr2QBAW/J01M7gc4FBLyd23kmAQIECBAgQIAAAQIECBAgQIAAAQIEuiog4O0qv80JECBAgAABAgQIECBAgAABAgQIECDQuYCAt3M7zyRAgAABAgQIECBAgAABAgQIECBAgEBXBQS8XeW3OQECBAgQIECAAAECBAgQIECAAAECBDoXEPB2bueZBAgQIECAAAECBAgQIECAAAECBAgQ6KqAgLer/DYnQIAAAQIECBAgQIAAAQIECBAgQIBA5wIC3s7tPJMAAQIECBAgQIAAAQIECBAgQIAAAQJdFRDwdpXf5gQIECBAgAABAgQIECBAgAABAgQIEOhcQMDbuZ1nEiBAgAABAgQIECBAgAABAgQIECBAoKsCAt6u8tucAAECBAgQIECAAAECBAgQIECAAAECnQsIeDu380wCBAgQIECAAAECBAgQIECAAAECBAh0VUDA21V+mxMgQIAAAQIECBAgQIAAAQIECBAgQKBzAQFv53aeSYAAAQIECBAgQIAAAQIECBAgQIAAga4KCHi7ym9zAgQIECBAgAABAgQIECBAgAABAgQIdC4g4O3czjMJECBAgAABAgQIECBAgAABAgQIECDQVQEBb1f5bU6AAAECBAgQIECAAAECBAgQIECAAIHOBQS8ndt5JgECBAgQIECAAAECBAgQIECAAAECBLoqIODtKr/NCRAgQIAAAQIECBAgQIAAAQIECBAg0LmAgLdzO88kQIAAAQIECBAgQIAAAQIECBAgQIBAVwUEvF3ltzkBAgQIECBAgAABAgQIECBAgAABAgQ6FxDwdm7nmQQIECBAgAABAgQIECBAgAABAgQIEOiqgIC3q/w2J0CAAAECBAgQIECAAAECBAgQIECAQOcCAt7O7TyTAAECBAgQIECAAAECBAgQIECAAAECXRUQ8HaV3+YECBAgQIAAAQIECBAgQIAAAQIECBDoXEDA27mdZxIgQIAAAQIECFQmMGfOnDB16tS2q+nTp4ef/exnq+zwH//4Rxg1alR47bXXws477xwWLVoU1l9//co0tEOAAAECBAgQIFCCgIC3hCmpkQABAgQIECBAoM8EmoC3CXqbx8033xz233//j+29YsWKMGnSpLBgwYIwcODAcN9994Xddtutz+qzEQECBAgQIECAAIH/FhDwOg8ECBAgQIAAAQIE/kvg9ddfD7vuumto3qW72WabhcWLF7f/++Hj/PPPD2eeeWb7j+edd1743ve+x48AAQIECBAgQIBA1wQEvF2jtzEBAgQIECBAgECuAnfeeWeYOHFiaN6te8ABB4R58+a1pT700ENh3Lhx4b333gt77713mD9/fujfv3+ubaiLAAECBAgQIECgBwQEvD0wZC0SIECAAAECBAisucBZZ53VvkO3eTSfxXvccce1H8WwZMmSMGzYsPCXv/wlbL311mu+sGcQIECAAAECBAgQiCgg4I2IaSkCBAgQIECAAIF6BJp36Tbv1m3etdv8ALV99903/O53v2sbvO666z76YWz1dKwTAgQIECBAgACBEgUEvCVOTc0ECBAgQIAAAQJ9ItC8W7d51+5bb7310X5HHXXURz+ErU+KsAkBAgQIECBAgACB1QgIeB0PAgQIECBAgAABAqsRmDVrVpg9e3b7FZtuuml48sknw4YbbsiMAAECBAgQIECAQBYCAt4sxqAIAgQIECBAgACBHAWWL18eRo0aFZYtW9aW169fv3D77beHSZMm5ViumggQIECAAAECBHpQQMDbg0PXMgECBAgQIECAwOcTOPbYY8Mvf/nL9ouHDh0a3njjjfDFL34xPProo97F+/kIfRUBAgQIECBAgEBiAQFvYmDLEyBAgAABAgQIlCnw61//Ohx++OFt8dOmTQsHHnhgmDJlSvvPRx55ZPjVr35VZmOqyQNafgAAB09JREFUJkCAAAECBAgQqEpAwFvVODVDgAABAgQIECAQQ+C5554LI0eODK+++mrYYYcdwsMPPxwGDx4cpk+fHi6//PJ2i+uuuy5MnTo1xnbWIECAAAECBAgQINCxgIC3YzpPJECAAAECBAgQqFFg5cqV4Wtf+1r44x//GAYMGBDuueeeMHbs2LbVt956K+y2225hyZIlYdiwYe1HNYwYMaJGBj0RIECAAAECBAgUIiDgLWRQyiRAgAABAgQIEOgbgR/96Efh1FNPbTebPXt2mDlz5sc2XrhwYRg/fnx47733wj777BP+9Kc/hf79+/dNcXYhQIAAAQIECBAg8AkBAa8jQYAAAQIECBAgQOD/CyxevDiMGTMm/Oc//wnjxo0Ld911V1hnnXX+x+fcc88NP/jBD9p/f8EFF4QZM2YwJECAAAECBAgQINAVAQFvV9htSoAAAQIECBAgkJtAE+o24W4T8g4ZMiQ88sgjYbvttltlmR988EGYMGFCuPvuu8O6664b7r///vClL30pt5bUQ4AAAQIECBAg0AMCAt4eGLIWCRAgQIAAAQIECBAgQIAAAQIECBCoU0DAW+dcdUWAAAECBAgQIECAAAECBAgQIECAQA8ICHh7YMhaJECAAAECBAgQIECAAAECBAgQIECgTgEBb51z1RUBAgQIECBAgAABAgQIECBAgAABAj0gIODtgSFrkQABAgQIECBAgAABAgQIECBAgACBOgUEvHXOVVcECBAgQIAAAQIECBAgQIAAAQIECPSAgIC3B4asRQIECBAgQIAAAQIECBAgQIAAAQIE6hQQ8NY5V10RIECAAAECBAgQIECAAAECBAgQINADAgLeHhiyFgkQIECAAAECBAgQIECAAAECBAgQqFNAwFvnXHVFgAABAgQIECBAgAABAgQIECBAgEAPCAh4e2DIWiRAgAABAgQIECBAgAABAgQIECBAoE4BAW+dc9UVAQIECBAgQIAAAQIECBAgQIAAAQI9ICDg7YEha5EAAQIECBAgQIAAAQIECBAgQIAAgToFBLx1zlVXBAgQIECAAAECBAgQIECAAAECBAj0gICAtweGrEUCBAgQIECAAAECBAgQIECAAAECBOoUEPDWOVddESBAgAABAgQIECBAgAABAgQIECDQAwIC3h4YshYJECBAgAABAgQIECBAgAABAgQIEKhTQMBb51x1RYAAAQIECBAgQIAAAQIECBAgQIBADwgIeHtgyFokQIAAAQIECBAgQIAAAQIECBAgQKBOAQFvnXPVFQECBAgQIECAAAECBAgQIECAAAECPSAg4O2BIWuRAAECBAgQIECAAAECBAgQIECAAIE6BQS8dc5VVwQIECBAgAABAgQIECBAgAABAgQI9ICAgLcHhqxFAgQIECBAgAABAgQIECBAgAABAgTqFBDw1jlXXREgQIAAAQIECBAgQIAAAQIECBAg0AMCAt4eGLIWCRAgQIAAAQIECBAgQIAAAQIECBCoU0DAW+dcdUWAAAECBAgQIECAAAECBAgQIECAQA8ICHh7YMhaJECAAAECBAgQIECAAAECBAgQIECgTgEBb51z1RUBAgQIECBAgAABAgQIECBAgAABAj0gIODtgSFrkQABAgQIECBAgAABAgQIECBAgACBOgUEvHXOVVcECBAgQIAAAQIECBAgQIAAAQIECPSAgIC3B4asRQIECBAgQIAAAQIECBAgQIAAAQIE6hQQ8NY5V10RIECAAAECBAgQIECAAAECBAgQINADAgLeHhiyFgkQIECAAAECBAgQIECAAAECBAgQqFNAwFvnXHVFgAABAgQIECBAgAABAgQIECBAgEAPCAh4e2DIWiRAgAABAgQIECBAgAABAgQIECBAoE4BAW+dc9UVAQIECBAgQIAAAQIECBAgQIAAAQI9ICDg7YEha5EAAQIECBAgQIAAAQIECBAgQIAAgToFBLx1zlVXBAgQIECAAAECBAgQIECAAAECBAj0gICAtweGrEUCBAgQIECAAAECBAgQIECAAAECBOoUEPDWOVddESBAgAABAgQIECBAgAABAgQIECDQAwIC3h4YshYJECBAgAABAgQIECBAgAABAgQIEKhTQMBb51x1RYAAAQIECBAgQIAAAQIECBAgQIBADwgIeHtgyFokQIAAAQIECBAgQIAAAQIECBAgQKBOAQFvnXPVFQECBAgQIECAAAECBAgQIECAAAECPSAg4O2BIWuRAAECBAgQIECAAAECBAgQIECAAIE6BQS8dc5VVwQIECBAgAABAgQIECBAgAABAgQI9ICAgLcHhqxFAgQIECBAgAABAgQIECBAgAABAgTqFBDw1jlXXREgQIAAAQIECBAgQIAAAQIECBAg0AMCAt4eGLIWCRAgQIAAAQIECBAgQIAAAQIECBCoU0DAW+dcdUWAAAECBAgQIECAAAECBAgQIECAQA8ICHh7YMhaJECAAAECBAgQIECAAAECBAgQIECgToH/A7bLOFlOUkV/AAAAAElFTkSuQmCC\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pca = PCA(n_components=2, whiten=True)\n",
    "pca.fit(X)\n",
    "\n",
    "# plot data\n",
    "fig, ax = plt.subplots(1, 1, figsize=(7, 6))\n",
    "ax.scatter(X[:, 0], X[:, 1], alpha=0.2)\n",
    "for length, vector in zip(pca.explained_variance_, pca.components_):\n",
    "    v = vector * 3 * np.sqrt(length)\n",
    "    draw_vector(pca.mean_, pca.mean_ + v, ax=ax)\n",
    "ax.set_xlim(-2.5, 2.5)\n",
    "ax.set_ylim(-2.5, 2.5)\n",
    "ax.set(xlabel='x', ylabel='y', title='input and first 2 PCs');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Projections\n",
    "[Projection](https://en.wikipedia.org/wiki/Vector_projection) is the location on a target vector to which another point/vector maps orthogonally. The figure below shows the projection of some of the points onto the first PC."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\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",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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1wwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQSCggwJsQWykCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECArxmgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBCAQHehNhKESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBDgNQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEEgoI8CbEVooAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQICAAK8ZIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIJBQQIA3IbZSBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAR4zQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBhAICvAmxlSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAgwGsGCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCQUEOBNiK0UAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQFeM0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgoYAAb0JspQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgI8JoBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgkFBHgTYitFgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAQIDXDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBIKCDAmxBbKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQICvGaAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQEIBAd6E2EoRIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ+D9yPiOZvohAAgAAAABJRU5ErkJggg==\" width=\"1400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(14, 12))\n",
    "ax.scatter(X[:, 0], X[:, 1], alpha=0.2)\n",
    "for length, vector in zip(pca.explained_variance_, pca.components_):\n",
    "    v = vector * 3 * np.sqrt(length)\n",
    "    draw_vector(pca.mean_, pca.mean_ + v, ax=ax)\n",
    "\n",
    "pts = X.copy()\n",
    "pts = pts[np.argsort( pts[:, 0] ), :] \n",
    "pts = pts[1::22]\n",
    "for pt in pts:\n",
    "    project_points(pt, pca.components_[0], ax, color='red')\n",
    "    project_points(pt, pca.components_[1], ax, color='blue')\n",
    "    \n",
    "ax.set_xlim(-2.5, 2.5)\n",
    "ax.set_ylim(-2.5, 2.5)\n",
    "ax.set(xlabel='x', ylabel='y', title='input and first 2 PCs');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the PCs are orthogonal, we can call them axes and apply rotations so that they map onto Cartesian coordinates. Furthermore, we can normalize each vector to rescale the points along each axis. Notice that this mapping may reverse the data points along a PC axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\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",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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