EDX_atomic_percent_maps.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4940e3d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import hyperspy.api as hs\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4ce5ee0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data file path\n",
    "fp = r'/dls/science/groups/e02/Sample_data/sample_EELS_EDS_new/EDS Spectrum Image.dm4'\n",
    "SI = hs.load(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d1647f4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#correct for known offset\n",
    "SI.axes_manager[-1].offset = -0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8863548f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<EDSTEMSpectrum, title: EDS Spectrum Image, dimensions: (94, 91|2048)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5c4afdad",
   "metadata": {},
   "outputs": [],
   "source": [
    "#rebin data to improve signal to noise\n",
    "SI = SI.rebin(scale = [4,4,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "be7eafa9",
   "metadata": {},
   "outputs": [
    {
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       "    // 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",
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       "    var format_dropdown = fig.format_dropdown;\n",
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       "    fig.ondownload(fig, format);\n",
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       "    var size = msg['size'];\n",
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       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
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       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
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       "    x0 = Math.floor(x0) + 0.5;\n",
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       "    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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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",
       "    // 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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\" width=\"639.65\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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",
       "    // 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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\" width=\"639.65\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SI.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "386f3bd7",
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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",
       "    // 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>"
      ]
     },
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     "output_type": "display_data"
    },
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onJnDdcjgEBTEiAsakqjTV8RQACByATqE7Tob5r1N87ZpZy3oWV/V29CO++889wf68wSvVkss2h3kc420uI8s2jHhP5WW38zroWL/pbbZwdQ5r21cyDXzh7tzkjq1OJZ/dbfqBcqmWGR2qyzQrIXacn3dX7Mz3/+c/efo0aNcue6ZBbt5NGiUcGPFugKefKVO+64w53/oqIFsha3SdGOEC3qFYjJTLtUunXrVvYMLbbgzbxhdlhUaPdU8r2GCovkpx0zClGyix7NUSipkEVFoaQCI+2+yC5PPvmkCwtUtOsj36NqpcCWGxZp94Z2OuUq+++/vz3yyCPuI+0YU3iTa0deZl9lkQQ5pbQ3+xrtYpKByuOPP17rklyn4EA7ulQUHCQ7fnLVpc91D5VcYVHmWxI1j3UekwLWfEVOCpMU9mkeamdfueX99993v2fmz59f56u6p34O9XtIO240Z7fddtuity/0s6PQTT+P+vnUjkrVme/8MYVrmbv6ioVFmscK//I9kqffwUmgpvOtFG7Xp+jnR7u59Lihdu/p91F2ISyqjyzfQQCBpiJAWNRURpp+IoAAAhEKxBIW6dXSyXkp2p2gg4Szix510fky2uGSr+hvwLUY1W6JXCFAuUOgx2kU3mQvDjPvo91BOshV5wwlZ5pk15MZFmkXlXY65Ct65EQLWT32ovBAC7+k6LEOLRj1mR7zUfsKFS3StNNCuwTUBi3mk5L5Jjqd+XLllVeWy+Our29YpIBN58C0b9++YL0NFRYpdFMIma8oeEzOkdE5PNqFlavIVrsrtKhXUKCdGfUt5YRF2g2luZK50ymzXp21lYS62nmiXWvF+qqx1BlWhUKXQn1TCJo8xqbAM3mUM/mOduEo4FKRffIIY657Zj5+miss0o40HfCsosdG9Vr7QkW7aLTTTkUBhXbt1KfoAHb9TtD5QIXOcNKOtAsuuKBgHwv97Oi8LAUsKtrVqPA6X9HP0eabb17bnmJhkXZl6vG8fCWzbu34LHYGVSFHHY6vXY4KXBVIZxfCovrMQr6DAAJNRYCwqKmMNP1EAAEEIhTIDIsKLR4ym67FYK5zTXx2FunxHj0Co5LrjWiZ9WvhoZ012nWg4CjXAa0KICZOnGg6XNW3KJjRWT06HFeBlc51yXUgsnai6JrddtttnSozwyLtrtAZHoWKHhHRTgkVLQSTx6T06FrSJz2uprNHihUdCq6QSY+uJWcT6TtaaGvBrfLUU0+5N57Vp9Q3LNIODe3KKVYaKizSwela9OcrmWfh6G1PhQ6v1u4JvZVMZ8lot1J9SzlhkR670nzIVzID2HL6qgAq36439U2PRelnTzuVdH6PdvjkKtmPk+oaPS6Z+Ch0yfXIWHIvfZ48MpcrLMrcgaddNZmH5Odqj84+SgK/c88917Sb0afISQGczgfTz5XGP1fRz5921GQ/kqdrC/3sZD6aq9/NCngKFZ1ZpN9NKsXConHjxrk3S+YrOgtJob2KQmSFybmKHjXT71k9CqcgSGcsKaDOdVC+xlpjml0Ii3xmId9FAIHGLkBY1NhHmP4hgAACEQvEcmaRFiR6Q5iKHhdJdh8Uo9Pf7OtcH4UOCmGSA171Pe320GNaOnuokkWLYy3KFBzpYF0FCUlRYKTFsB4bySyZYZG+qzCoUEkeNdM1Olh65513dpfrPJl8O1yK9VEOWuAnRY/SJbu0ii3cC927vmGRHitMDlcudP+GCov0uFjyyFSu+jPHTI9mFdqpVs4r3gv1tZywSLvZkvNsct0zcxFeTl9zBQ26v34+FTplPwqarz+5HsnT4446Q0shkF5FX6zoOs3NXGGRzoYqtFuq0L31aGZy9lCxNpT6ucIoHRCtHUx6hCt5hFHfV5il85myS6Gfncwwt5TfGQqgk8C/WFhUbD5oR5121qnke+xYjxDqYHWdaVRKUViWa+4QFpWixzUIINBUBQiLmurI028EEEAgAoFYwqLMg2P1OIkeK6lPUViknTfJbiMdSnz77bfX51Ylf0fnK+nxmuRv03MtDDODBx00ne8Q6aTS5HwV/bdCqeRgYR36q0db6lOyF9wKj9QWFe2UynUeTyn11Dcs0mNAWigWKw0VFumRPI1LvpI5ZvkClOS71QiLivmVswgv1tfMMFeL/m9961vu7B4dnK5dfMnr1bULLnlkKVf7NMcUGOgxS52ZVazounxvQ9OBz8nB4sXuk/15Mbty75d9vc42UtijHXsqelRVNtmP9xX62dFb55Lwu9zfGcXComJzv1hYpPZoJ5MeWVTR7xLtCNW/daabHgdO+qbfV3prmkquHUflzFPfceH7CCCAQNoECIvSNmK0FwEEEGhEArGERZmPUGi3TimPV+UbhsyFbfaZPw01dJlhl8INPbaWWSq1syjz0G3fs0SqvbOo1AV7OWGRdtskh6P7LpiLBSiZ49uYwyK9Rl2PQerxIoUeCjDyPZKnUEBn06jkGt9ydxZph54eocy1syhz95128+kRwJiKwjDtRkvONVIA079//zpNrOTOokwP37lfLCzSWUo610hFLyZQiJ3v/DvNlTlz5hAWxTQ5aQsCCKRGgLAoNUNFQxFAAIHGJxBDWKSzeTIfyyp0ZkopIzB79uzac4O04yHfmSql3KvUa+699173tjYVvQVJB/3mC4uKHeyr7+U7syjzbVKnn3663XDDDaU2cZ3rqn1mUalhkQ4l1qM9KhrLZBdLro5rd4NeD6/iu2AmLPpcWGfyaCeRig6sTt7Ul8s/80ytXONbyTOLNP9vuukm14xSzgGr9w+Kxxd1jpIek1XJfhuh/qxaZxb57izSjjKFYXrsVr+vc53HlLDpGp1lpMLOIo/JxFcRQKBJChAWNclhp9MIIIBAHAIxhEWZZ4/oETIdEu1TdE7RLrvs4m5R6tkoPvXpuzpwO3mzk96CNHfu3Dq3zAwedJC3zh7KV7T40iuz9bhO9s4oLbr0xjUturTbQo+D1PfxMS36kwOefd6GpoWi2lPsVejqr15ZvtVWW7mulxoW6SDv5Gyj1157rfb72X7awaGDpvUIkAph0W9MhyurFAsHCgVjOsBYZ9Oo6CD65K2FueZvZoCTa3wr+TY0nVek3x0qetV7sqPM92e5kt/v2bOnO3NMRYfJH3zwwXVuX8m3oXXp0qX2TCDfuV9sZ5EeM1u1atU6h+Zn2+n3YO/evWv/mLCokrOLeyGAQFMQICxqCqNMHxFAAIFIBaodFmW+vl2hgw6L1uNRmUWLf4U+hf72OvP6Sy+91B3KqtKvXz+bOXNm2fo6X0R/I15q0WG+yWvpcx08nLkY16M4Omg63/31piYdJKySayfHkCFDbOrUqe7z6667zs4888xSm1nnujfffNM9JqPzitQmvc1IIVW5pUOHDu4wX41b8rhJvnvUJyzKHE+9VSp5nXh2HZlnn+gz3wUzO4s+F858Rf3ZZ59t+pnNVd544w33RjK9IUslV1iUuTOuWLioz/XWNZVcj6HpsTgFjwpQW7Ro4Q6Xzv7dUe5cLnS93oq4ZMkSdyZPKUXzT2f4JIc65zokvVBYtHjxYvfzqJ9PPY43f/5823jjjXNWfeGFF7pDtJPiO/eLhUXJweN6PFHtzPcI2iGHHFIn/CcsKmXmcA0CCCDwpQBhEbMBAQQQQKBqAtUKi7TwUaCjXQtJueaaa2zUqFHrWOhsnmuvvdYFJ3rUq9DrtrXbQGFNcsC1DrfWIdflFu200eG5ao9eWa03q+UqWvzoURgFNslCSI9M6fDdzJIZPOjPdQ6PdlDpcODMorcZqY/aJaPDcPUIS7ITJ7lOO6d233139zf72lWkXUonnHBC3i4q+NJr1PXYWfJWteTiM844w2688Ub3n1roP/DAA3kP3/773//uQjst3DNLct5Uu3bt3MK9TZs2edtSn7Ao87FChVsKFLMXzTpIWI+g6U1bSfFdMBMWfS6pA6YVWmh+62dPb9DLnpN6I9bgwYNrd9Hoe7nCIs3rHj16mIITFb0h7LLLLqsTNqgehR86BycpucIifaadTtqpp6JdZXocNDkMPtck1M+T5ru+V27R7xTNO/2s6XeKfl7yFQVn+r2hnxkVtUkH1WeXYofDyzB5451+p2gHY/bvIr22fujQoe73QaXmfrGwKPPRUL2MQC8lyCwK1jS2V111VZ0/Jywqd9ZxPQIINHUBwqKmPgPoPwIIIFBFgcywKHntcinN6du37zp/w555ELEWgMlBt7qfDsnVQbUKiWbNmuX+SRYOLVu2tEsuucQdlJqrKCw6+eST3Ud6/EF177HHHm7BqsWr7q3HsbTbRsFCUnTOioKbUnckZdatsGjcuHHujxTo6GDa3XbbzS2atZNGuyd0qK52XSRnkuhaBQzJDqPM+2UGD3rFtc4t0r20S0aLZ+3Mefjhh92fJ0UB2Y9+9KOcJr/97W/da9+1KFPRwlWLUx3yq7Bm6dKltdZapGp3g3ZpyC6z6AwgjZvGQ0XnAR122GFuR5Z2UGj3hvopR4UEOrhb12cWhXjJ2+tkrkeNtOMgmVs6f2nzzTd3X6lPWKTvZc4tuWk+bLPNNq6fOnBZIYHaKwedsaNCWFSZx9BkqQBTxio65FqBiYJHjbF+5jQfFdRp7JNwI99jhgoiFHwkBz/rZ1mPGirs0SOYCpC1S0hvW3v99dddWKWfdT2CmKtkHraszzUH999/f/fzpZ997QbSwdt61bvOR9MupKTunDfM84cKizKD0O233979PMlBc08Wav/TTz/tQtcksNbvC/0MZp7LllRRLCxS+KowVvdVUWimn3v9nOt3xrRp09x5TQpx9chb8vY0uelcocxSzlvHioVF+l2rHY5J0eN1MtfPvX7udD6TdirKSGbJY7mEReXMOK5FAAEEas62q/nFuRYIBBBAAAEEqiGQ7/GBYm3JFRpkLuiLfV+fa9Gmv6HW4xPJGUO5vqdDc7UI1aKvlKIFohaQenNYoV0uhe6lx530t+XJIzXF6lXIokd0FJLlCqcywyI9gqa/dU8W39n31ve1s+Liiy8uWK0OctbCMVlIFrpYgZd23+RasCoQGjlyZJ1dXvnupQW3Hg/KLNpVonOa9DhKrpJ5Xk59wyItfgcOHOgWormKwijtutAuLwUXKoRFlQuL9LO3zz771Nk5lD0OOstIZ2B1797dfVToTCrNff1MJK9ez76XAhL93GsHncIiBTLJ2T/Z1+r/RuuxTQXOCo6LlXy7lIp9T4+DaZ4rcCq1qB8KaRTk5CrFwiJ956WXXrJBgwaZdivlKtrtpMBIuyh///vfu0s0Xnp0LbNUMizSfbMffctum4Iihen6XazfGyqERaXOHK5DAAEEPhcgLGImIIAAAghUTSBEWKTwQ2GFzsXROT1aOOlsEZ1nkew4KQagnQD623ktOvQYknYovfPOO26xqce1tDDSm5b0uMewYcPcG8l8i3YG6G/YVaf+Zly7l/RIl/5cj4JokaadLArJtDOia9eueavM9UiTDm3W66eff/55t7jT38prB5MeDdMiuZSinUE62Fd/06826nwnPY6i3QxatCuE23fffd0jQvkepUvq0Q4RBTvqrxboCsp0Hz36JVcdJpy9Myn5rgIjPUaoR/cU0ui7ycKwEmGR6tEuItWhUEiPMWle6QBw7dSSmcaj2KNj5SyYi90rc3zUDgVa9Q0iknsl99F/5wq7ygnbKt1XBTEK4+655x4XYGi3WufOnd0uPwUCmmfltE/XajwVeur8LM1PnfGjnyUFT9pFqEcbVa9+xhRQFyr62fzVr37l5qDa98EHH7jdPpoX+n2gnymF0/oZq89uw6Ru/R5QHU8++aTbVahx164q1aVdV9oFpZ87HXiv3TYKxfOVUsIifVeBrsJvPWar+vWzpZ1T2tGjua/fo8mbAPVoqn5HZddbznwotrMo6Y8c9FifdiZ++OGHboeTxlC7E7X7TGF95l8iEBaV8ludaxBAAIEvBQiLmA0IIIAAAgg0coFygodGTkH3EChJQI8xJVF8XQ0AACAASURBVGds6UwwHeZOyS2gx1EV3CWPrelcMwoCCCCAQPoFCIvSP4b0AAEEEEAAgYIChEVMEATKEzjxxBPttttuc1/SbjId0E7JLaBzno4++mj3oc4503lnFAQQQACB9AsQFqV/DOkBAggggAAChEXMAQRKFNBjTtkHpWd+VW/4O+2009wf6XErHW6tx6uaYtGB2TorSY/l5Sp6PFeP9OoxMD1epzOV9EguBQEEEEAg/QKERekfQ3qAAAIIIIAAYRFzAIESBXTOWJcuXdw5Ozp0XW8T0/lbOo9Hb2VMDrPWmT46j0sHPDfVor7rnDZZ9e7d27mp6FwxnRmkM5+Ss4D0Fscrr7yyqVLRbwQQQKDRCRAWNbohpUMIIIAAAgjUFeAxNGYEAl8KKCxSOFSo6HBrHVh95JFHNmk6hUXTpk0raKBQbfTo0TZu3Divw7ubNDSdRwABBCIUICyKcFBoEgIIIIAAApUUICyqpCb3SrvA448/7nbE6HE0vUlPby7TG7z0VsPtttvO9ttvP/dGNL0hsKmXV1991SZPnmyPPPKIexxPVnr7mt68tsUWW7i3u+nNY3ozIwUBBBBAoHEJEBY1rvGkNwgggAACCCCAAAIIIIAAAggggICXAGGRFx9fRgABBBBAAAEEEEAAAQQQQAABBBqXAGFR4xpPeoMAAggggAACCCCAAAIIIIAAAgh4CRAWefHxZQQQQAABBBBAAAEEEEAAAQQQQKBxCRAWNa7xpDcIIIAAAggggAACCCCAAAIIIICAlwBhkRcfX0YAAQQQQAABBBBAAAEEEEAAAQQalwBhUeMaT3qDAAIIIIAAAggggAACCCCAAAIIeAkQFnnx8WUEEEAAAQQQQAABBBBAAAEEEECgcQkQFjWu8SyrN2vWrLHVq1e77zRv3tyaNWtW1ve5GAEEEEAAAQQQQAABBBBAAAEEyhNYu3ataT2ust5667n1eGyFsCi2EQnYnlWrVlnr1q0D1khVCCCAAAIIIIAAAggggAACCCCQCHz66afWqlWr6EAIi6IbknANIiwKZ01NCCCAAAIIIIAAAggggAACCGQLEBYxJ6IT0CNoLVu2dO3SBG3RokV0baRBCCCAAAIIIIAAAggggAACCDQmgf/+97+1T/l89tln7lG02Ao7i2IbkYDt0QRNJqWCI8KigPhUhQACCCCAAAIIIIAAAggg0CQF0rAWJyxqklPz806nYYI24eGh6wgggAACCCCAAAIIIIAAAo1QIA1rccKiRjjxSu1SGiZoqX3hOgQQQAABBBBAAAEEEEAAAQTSIJCGtThhURpmUgO1MQ0TtIG6zm0RQAABBBBAAAEEEEAAAQQQqIpAGtbihEVVmRpxVJqGCRqHFK1AAAEEEEAAAQQQQAABBBBAoDICaViLExZVZqxTeZc0TNBUwtJoBBBAAAEEEEAAAQQQQAABBPIIpGEtTljUhKdvGiZoEx4euo4AAggggAACCCCAAAIIINAIBdKwFicsaoQTr9QupWGCltoXrkMAAQQQQAABBBBAAAEEEEAgDQJpWIsTFqVhJjVQG9MwQRuo69wWAQQQQAABBBBAAAEEEEAAgaoIpGEtTlhUlakRR6VpmKBxSNEKBBBAAAEEEEAAAQQQQAABBCojkIa1OGFRZcY6lXdJwwRNJSyNRgABBBBAAAEEEEAAAQQQQCCPQBrW4oRFTXj6pmGCNuHhoesIIIAAAggggAACCCCAAAKNUCANa3HCokY48UrtUhomaKl94ToEEEAAAQQQQAABBBBAAAEE0iCQhrU4YVEaZlIDtTENE7SBus5tEUAAAQQQQAABBBBAAAEEEKiKQBrW4oRFVZkacVSahgkahxStQAABBBBAAAEEEEAAAQQQQKAyAmlYixMWVWasU3mXNEzQVMLSaAQQQAABBBBAAAEEEEAAAQTyCKRhLU5Y1ISnbxomaBMeHrqOAAIIIIAAAggggAACCCDQCAXSsBYnLGqEE6/ULqVhgpbaF65DAAEEEEAAAQQQQAABBBBAIA0CaViLExalYSY1UBvTMEEbqOvcFgEEEEAAAQQQQAABBBBAAIGqCKRhLU5YVJWpEUelaZigcUjRCgQQQAABBBBAAAEEEEAAAQQqI5CGtThhUWXGOpV3ScMETSUsjUYAAQQQQAABBBBAAAEEEEAgj0Aa1uKERU14+qZhgjbh4aHrCCCAAAIIIIAAAggggAACjVAgDWtxwqJGOPFK7VIaJmipfeE6BBBAAAEEEEAAAQQQQAABBNIgkIa1OGFRGmZSA7UxDRO0gbrObRFAAAEEEEAAAQQQQAABBBCoikAa1uKERVWZGnFUmoYJGocUrUAAAQQQQAABBBBAAAEEEECgMgJpWIsTFlVmrFN5lzRM0FTC0mgEEEAAAQQQQAABBBBAAAEE8gikYS1OWNSEp28aJmgTHh66jgACCCCAAAIIIIAAAggg0AgF0rAWJyxqhBOv1C5VZIK+/77Zgw+atWpl9p3vmLVvX2r1XIcAAggggAACCCCAAAIIIIBAkxOoyFq8gdUIixoYOObbe0/Q1avNdtzR7JVXPu/mvvuaPfJIzF2mbQgggAACCCCAAAIIIIAAAghUVcB7LR6g9YRFAZBjrcJ7gv7jH2Y771y3e0uXmnXoEGuXaRcCCCCAAAIIIIAAAggggAACVRXwXosHaD1hUQDkWKvwnqBz55r17l23e3osbeONY+0y7UIAAQQQQAABBBBAAAEEEECgqgLea/EArScsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIAyLFW4T1BCYtiHVrahQACCCCAAAIIIIAAAgggEKmA91o8QL8IiwIgx1qF9wQlLIp1aGkXAggggAACCCCAAAIIIIBApALea/EA/SIsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIAyLFW4T1BCYtiHVrahQACCCCAAAIIIIAAAgggEKmA91o8QL8IiwIgx1qF9wQlLIp1aGkXAggggAACCCCAAAIIIIBApALea/EA/SIsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIAyLFW4T1BCYtiHVrahQACCCCAAAIIIIAAAgggEKmA91o8QL8IiwIgx1qF9wQlLIp1aGkXAggggAACCCCAAAIIIIBApALea/EA/SIsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIAyLFW4T1BCYtiHVrahQACCCCAAAIIIIAAAgggEKmA91o8QL8IiwIgx1qF9wQlLIp1aGkXAggggAACCCCAAAIIIIBApALea/EA/SIsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIAyLFW4T1BCYtiHVrahQACCCCAAAIIIIAAAgggEKmA91o8QL8IiwIgx1qF9wQlLIp1aGkXAggggAACCCCAAAIIIIBApALea/EA/SIsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIAyLFW4T1BCYtiHVrahQACCCCAAAIIIIAAAgggEKmA91o8QL8IiwIgx1qF9wQlLIp1aGkXAggggAACCCCAAAIIIIBApALea/EA/SIsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIAyLFW4T1BCYtiHVrahQACCCCAAAIIIIAAAgggEKmA91o8QL8IiwIgx1qF9wQlLIp1aGkXAggggAACCCCAAAIIIIBApALea/EA/SIsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIAyLFW4T1BCYtiHVrahQACCCCAAAIIIIAAAgggEKmA91o8QL8IiwIgx1qF9wQlLIp1aGkXAggggAACCCCAAAIIIIBApALea/EA/SIsCoAcaxXeE5SwKNahpV0IIIAAAggggAACCCCAAAKRCnivxQP0i7AoAHKsVXhPUMKiWIeWdiGAAAIIIIAAAggggAACCEQq4L0WD9AvwqIvkF944QWbNGmSza0JQF5++WV777337KOPPrJ27drZ17/+ddt///3t1FNPtS5duqwzLDNmzLCBAwcWHa7zzz/fLr/88rzXLV++3K699lq777777LXXXrO1a9da9+7dbejQoTZq1CjXlkoW7wlKWFTJ4eBeCCCAAAIIIIAAAggggAACTUDAey0ewIiw6AvkCy64wK644opa8latWlmbNm1s6dKltX/Wvn17u+uuu+zggw+uMzSZYdGmm26ad9jOOussO/fcc3N+vnDhQhc4LViwwH2+/vrru3+vXLnS/Vuh0fTp061bt24VmxbeE5SwqGJjwY0QQAABBBBAAAEEEEAAAQSahoD3WjwAE2HRF8j33nuvC2r69OljO+64o3Xs2NF9smLFCnv44YftnHPOcZ+3bdvWtAtpyy23rB2ezLBIu4HKLZoovXv3tnnz5pnCpjvvvNMGDRrkbqO6hw8fbu+++6717NnT5syZYy1atCi3ipzXe09QwqKKjAM3QQABBBBAAAEEEEAAAQQQaDoC3mvxAFSERSUiv/rqq7bddtu5q/UomR4pS4pvWKRwaMSIEe52M2fOtH79+tVp1eOPP2577723+zNde9xxx5XY6sKXeU9QwqKKjAM3QQABBBBAAAEEEEAAAQQQaDoC3mvxAFSERWUgb7TRRvbhhx/aSSedZLfcckvFwqL+/fu7kEj/VvCUqygsUmg0YMAA9zhaJYr3BCUsqsQwcA8EEEAAAQQQQAABBBBAAIEmJOC9Fg9gRVhUIrIePdPjaSpXX321nX322RUJi/SYm85CWrNmjY0bN8497par6LMxY8a4R9CWLVvmzlPyLd4TlLDIdwj4PgIIIIAAAggggAACCCCAQBMT8F6LB/AiLCqA/Nlnn9nixYvt0UcftYsuusjeeOMN0+6iV155xTbZZJOcYdFee+1l//znP93B1LqmV69edvTRR9vhhx+e86yhZ5991l2jMmXKFBs8eHDOFumzgw46yH2m7+yyyy7e08N7ghIWeY8BN0AAAQQQQAABBBBAAAEEEGhaAt5r8QBchEU5kLt27WpvvfXWOp9oZ5HehrbTTjvV+SzzzCJ90KFDB1PQpF1DSdHB2X/4wx+sU6dOdb47efJkO+SQQ9yfPffcc7bzzjvnHHZ9pgOuVR566CEbMmRISdNDkzBf0WetW7d2H69evbr8g7MJi0oaAy5CAAEEEEAAAQQQQAABBBBAIBEgLErpXNh1111t0aJFLuz5+OOPXS/0Z+PHj3fnCmUXvcVswoQJdthhh7kgqV27du6Sl19+2a677jq79dZb3X/rjWezZs2qE8oofDrmmGPc5/Pnz7dtttkmp5o+23bbbd1n+s6wYcNK0m3WrFlJ1xEWlcTERQgggAACCCCAAAIIIIAAAgh4CRAWefHF8eUPPvjAJk2aZGPHjnW7jUaOHOkOty7n9fU64yg5iyj7bWb1CYsmTpxoRx11VElAhEUlMXERAggggAACCCCAAAIIIIAAAkEECIuCMIep5PXXX3cHXH/yySd288032ymnnFJyxTq8esstt7SFCxe6R84eeOCB2u/yGFrJjFyIAAIIIIAAAggggAACCCCAQOoFCItSP4R1O3Dsscfa7373O3eukM4QKqfogOv77rvPdthhB3cAdlIyD7ieOnWqHXjggTlvywHX5WhzLQIIIIAAAggggAACCCCAAAJxChAWxTku9W7VT37yE7vyyiutbdu2tnz58rLuky8s0rlI7du3N+0+GjduXO3jatk312djxoxxj78tW7bM2rRpU1b9uS72nqDbb2/20kt1b/3++2Ybb+zdNm6AAAIIIIAAAggggAACCCCAQGMU8F6LB0DhbWhlIOucoLvvvtu90Wzx4sUlf1NB0FZbbWVvvPGGHXTQQaZHzzKLDs2eOXOmOzxbb1bLVZJrBgwYYNOnTy+57kIXek3QN98069Zt3dsTFlVkbLgJAggggAACCCCAAAIIIIBA4xTwWosHIiEsqoFeu3at+6d58+Z52V988UXr1auXrVy50o444ggXGiVF3y10kLTeiHbWWWe5y++44w47/vjj69SjQ69HjBjh/uyJJ56wPn361Pn8ySeftL59+7o/yz4g22eeeE1QPUpX8+a3dQphkc+Q8F0EEEAAAQQQQAABBBBAAIFGLuC1Fg9kQ1hUA/3RRx/ZnnvuaSeffLI7M6h79+61wZF2EN1///3ubWjv1wQhrVu3trlz57qzh5LSo0cP95Y0fXe77barfVOaXnd/44032k033eTCqJ49e9rs2bNtvfXWqzO8mii9e/e2efPmWefOnV0gdMABB7hrpk2bZsOHD7d33nnHfX/OnDllvYmt0DzymqCERYF+RKkGAQQQQAABBBBAAAEEEECgMQl4rcUDQRAWfREWdezYsZa8ZcuW1qFDB1u1apU7Hygpm266qU2YMMH23XffOsOTuatIQdAGG2zgdiBlnmu01157udBJYVCuojelDRw40BYsWOA+Ts4k0plGKgqw9PhZt1yPftVzsnhNUMKieqrzNQQQQAABBBBAAAEEEEAAgaYs4LUWDwRHWFQDrTOFHnzwQXde0KxZs+ytt96y9957zz1atnHNYc071TxuNXjwYNPb0BQiZRc9Wvb000+7HUfaibRkyRK3+0fBkHYMHXnkkXbooYcWfMxN91S4NH78eBcqJaHR1ltvbUOHDrXRo0dbu3btKjotvCYoYVFFx4KbIYAAAggggAACCCCAAAIINA0Br7V4ICLCokDQMVbjNUEJi2IcUtqEAAIIIIAAAggggAACCCAQuYDXWjxQ3wiLAkHHWI3XBCUsinFIaRMCCCCAAAIIIIAAAggggEDkAl5r8UB9IywKBB1jNV4TlLAoxiGlTQgggAACCCCAAAIIIIAAApELeK3FA/WNsCgQdIzVeE1QwqIYh5Q2IYAAAggggAACCCCAAAIIRC7gtRYP1DfCokDQMVbjNUHzhUU33GB2+ukxdpc2IYAAAggggAACCCCAAAIIIFB1Aa+1eKDWExYFgo6xGq8Jmi8sUkdXr7aa18HF2GXahAACCCCAAAIIIIAAAggggEBVBbzW4oFaTlgUCDrGarwmaKGwaNkys/btY+wybUIAAQQQQAABBBBAAAEEEECgqgJea/FALScsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMsCgQdYzVeE5SwKMYhpU0IIIAAAggggAACCCCAAAKRC3itxQP1jbAoEHSM1XhNUMKiGIeUNiGAAAIIIIAAAggggAACCEQu4LUWD9Q3wqJA0DFW4zVBCYtiHFLahAACCCCAAAIIIIAAAgggELmA11o8UN8IiwJBx1iN1wQlLIpxSGkTAggggAACCCCAAAIIIIBA5AJea/FAfSMs+gL6hRdesEmTJtncuXPt5Zdftvfee88++ugja9eunX3961+3/fff30499VTr0qVL3qFZvny5XXvttXbffffZa6+9ZmvXrrXu3bvb0KFDbdSoUe5ehYrv98udM14TlLCoXG6uRwABBBBAAAEEEEAAAQQQQMC81uKB/AiLvoC+4IIL7Iorrqhlb9WqlbVp08aWLl1a+2ft27e3u+66yw4++OB1hmfhwoU2cOBAW7BggftsLJMs8gAAIABJREFU/fXXd/9euXKl+7dCo+nTp1u3bt1yDq3v9+szX7wmKGFRfcj5DgIIIIAAAggggAACCCCAQBMX8FqLB7IjLPoC+t5773VBT58+fWzHHXe0jh07uk9WrFhhDz/8sJ1zzjnu87Zt25p2IW255Za1Q6SB7t27t82bN8823XRTu/POO23QoEHuc313+PDh9u6771rPnj1tzpw51qJFizrD6/v9+s4VrwlKWFRfdr6HAAIIIIAAAggggAACCCDQhAW81uKB3AiLSoR+9dVXbbvttnNXX3755Xb++efXflPh0IgRI9x/z5w50/r161fnro8//rjtvffe7s907XHHHVfnc9/vl9iFdS7zmqCERfVl53sIIIAAAggggAACCCCAAAJNWMBrLR7IjbCoDOiNNtrIPvzwQzvppJPslltuqf1m//79XUikf8+YMSPnHRUWKTQaMGCAexwts/h+v4wu1LnUa4ISFtWXne8hgAACCCCAAAIIIIAAAgg0YQGvtXggN8KiEqH16JkeT1O5+uqr7eyzz3b/W4+p6SyjNWvW2Lhx49zjarmKPhszZox7BG3ZsmXuPKRKfL/E5ue8zGuCEhb50PNdBBBAAAEEEEAAAQQQQACBJirgtRYPZEZYVAD6s88+s8WLF9ujjz5qF110kb3xxhum3UWvvPKKbbLJJu6bzz77rPXq1cv97ylTptjgwYNz3lGfHXTQQbXf2WWXXSryfZ954jVBCYt86PkuAggggAACCCCAAAIIIIBAExXwWosHMiMsygHdtWtXe+utt9b5RDuL9Da0nXbaqfazyZMn2yGHHOL++7nnnrOdd94559DpMx1wrfLQQw/ZkCFD3P/2/X6xeaJJmK/os9atW7uPV69evc7B2wXvTVhUjJ7PEUAAAQQQQAABBBBAAAEEEFhHgLAopZNi1113tUWLFrlHzD7++GPXC/3Z+PHj3blEmUXh0THHHOP+aP78+bbNNtvk7LU+23bbbd1n+s6wYcNq/7fP94sRN2vWrNgl7nPCopKYuAgBBBBAAAEEEEAAAQQQQAABLwHCIi++OL78wQcf2KRJk2zs2LFut9HIkSPd4dY6eygJfsoNeyZOnGhHHXVURb5fTImwqJgQnyOAAAIIIIAAAggggAACCCAQToCwKJx1g9f0+uuvuwOuP/nkE7v55pvtlFNOcXX6Pkbm+/1iHecxtGJCfI4AAggggAACCCCAAAIIIIBAOAHConDWQWo69thj7Xe/+507l0hnEKlkHnA9depUO/DAA3O2pZQDruvzfZ+Oe01Qzizyoee7CCCAAAIIIIAAAggggAACTVTAay0eyIwDrsuA/slPfmJXXnmltW3b1pYvX+6+qXON2rdvb2vWrLFx48bZOeeck/OO+mzMmDHu8bVly5ZZmzZtKvL9Mpq/zqVeE5SwyIee7yKAAAIIIIAAAggggAACCDRRAa+1eCAzwqIyoHXO0N13322dOnWyxYsX135Th17PnDnTHX49Y8aMnHdMrhkwYIBNnz69zjW+3y+jC3Uu9ZqghEX1Zed7CCCAAAIIIIAAAggggAACTVjAay0eyI2wqAZ67dq17p/mzZvnZX/xxRetV69etnLlSjviiCNcaJSUO++800aMGOH+84knnrA+ffrUuc+TTz5pffv2dX+ma4877rg6n/t+v75zxWuCEhbVl53vIYAAAggggAACCCCAAAIINGEBr7V4IDfCohrojz76yPbcc087+eST3ZlD3bt3rw2OtIPo/vvvd29De//9961169Y2d+5c22GHHWqHSAPdu3dvmzdvnnXu3NkFQgcccID7fNq0aTZ8+HB75513rGfPnjZnzpzaN6klN/D9fn3nitcEJSyqLzvfQwABBBBAAAEEEEAAAQQQaMICXmvxQG6ERV+ERR07dqwlb9mypXXo0MFWrVrlzhdKyqabbmoTJkywfffdd53hWbhwoQ0cONAWLFjgPss8k0j/rQBKj59169Yt59D6fr8+88VrghIW1Yec7yCAAAIIIIAAAggggAACCDRxAa+1eCA7wqIaaB1O/eCDD7rzhmbNmmVvvfWWvffee9asWTPbeOONbaeddrLBgweb3oamEClf0aHX48ePdzuRktBo6623tqFDh9ro0aOtXbt2BYfV9/vlzhmvCUpYVC431yOAAAIIIIAAAggggAACCCBgXmvxQH6ERYGgY6zGa4ISFsU4pLQJAQQQQAABBBBAAAEEEEAgcgGvtXigvhEWBYKOsRqvCUpYFOOQ0iYEEEAAAQQQQAABBBBAAIHIBbzW4oH6RlgUCDrGarwmKGFRjENKmxBAAAEEEEAAAQQQQAABBCIX8FqLB+obYVEg6Bir8ZqghEUxDiltQgABBBBAAAEEEEAAAQQQiFzAay0eqG+ERYGgY6zGa4ISFsU4pLQJAQQQQAABBBBAAAEEEEAgcgGvtXigvhEWBYKOsRqvCUpYFOOQ0iYEEEAAAQQQQAABBBBAAIHIBbzW4oH6RlgUCDrGarwmKGFRjENKmxBAAAEEEEAAAQQQQAABBCIX8FqLB+obYVEg6Bir8ZqghEUxDmnq2rR8+XL78MMPbc2aNeu0fYsttkhdf2gwAggggAACCCCAAAIIIFBMwGstXuzmFfqcsKhCkGm8jdcEJSxK45BH0+a77rrLrrjiCnv55Zfztknzk4IAAggggAACCCCAAAIINDYBr7V4IAzCokDQMVbjNUEJi2Ic0lS06Z577rGjjjrKevToYQMGDLBf/vKXdvTRR7vdRZMmTbLtt9/eDj74YBs7dmwq+kMjEUAAAQQQQAABBBBAAIFyBLzW4uVU5HEtYZEHXtq/6jVBCYvSPvxVa//uu+9uq1atsmeeecaWLl1qnTp1sr/85S+2zz772Pz5822PPfZwAdLhhx9etTZSMQIIIIAAAggggAACCCDQUAJea/GGalTWfQmLAkHHWI3XBC0UFj37rNkuu8TYZdoUgUC7du3s0ksvtdGjR9uSJUtsk002sWnTptl+++3nWnfBBRfYww8/bHPnzo2gtTQBAQQQQAABBBBAAAEEEKisgNdavLJNyXs3wqJA0DFW4zVBC4VFF15oNWlAjF2mTREIbLDBBnb11VfbCSecYJ9++qm1adPGfv/739uwYcNc6+644w4788wzTYdfUxBAAAEEEEAAAQQQQACBxibgtRYPhEFYFAg6xmq8JmihsOjcc82uuirGLtOmCAS+8Y1v2KBBg2zcuHGuNVtttZX179/ffvOb37j//t73vmePPfaYLVy4MILW0gQEEEAAAQQQQAABBBBAoLICXmvxyjYl790IiwJBx1iN1wQlLIpxSFPRprPOOsumTJlir776qmvvRRddZJdffrk77Hrt2rU2c+ZMO+200+z6669PRX9oJAIIIIAAAggggAACCCBQjoDXWrycijyuJSzywEv7V70mKGFR2oe/au1/++237fnnn3fhUOvWrW316tXusbOJEydaixYt7NBDD7Vrr73WdLYRBQEEEEAAAQQQQAABBBBobAJea/FAGIRFgaBjrMZrghIWxTiktAkBBBBAAAEEEEAAAQQQQCByAa+1eKC+ERYFgo6xGq8JSlgU45A2ijbdc889NmHCBHvwwQcbRX/oBAIIIIAAAggggAACCCCQKeC1Fg9ESVgUCDrGarwmKGFRjEPaKNp0xRVXuHOMND8pCCCAAAIIIIAAAggggEBjE/BaiwfCICwKBB1jNV4TlLAoxiFtFG0iLGoUw0gnEEAAAQQQQAABBBBAII+A11o8kCphUSDoGKvxmqCERTEOaaNoE2FRoxhGOoEAAggggAACCCCAAAKERcyBNAoQFqVx1Bp/mwmLGv8Y00MEEEAAAQQQQAABBJqygNdaPBAcO4sCQcdYjdcEZWdR9YZ01iyzf/3LbO+9zbbYonrtUM1Llpj95S9mG25ots8+Zuut590ewiJvQm6AAAIIIIAAAggggAACEQt4rcUD9YuwKBB0jNV4TVDCouoM6S23mJ1yyud1f+UrZrNnm223XXXasny52c47m7322uf1n3CC2a235mzLL37xi5Lb+Kc//cmmTJnCAdcli3EhAggggAACCCCAAAIIpEnAay0eqKOERYGgY6zGa4ISFlVnSLt3/zKcUQt69/48MKpG+etfzb71rbo1r12bsyXNmzcvq4XNmjUjLCpLjIsRQAABBBBAAAEEEEAgLQJea/FAnSQsCgQdYzVeE5SwqDpDWhOirFMee+zzR9JCl6lTzYYMKSksekxtLLP079+/zG9wOQIIIIAAAggggAACCCAQv4DXWjxQ9wiLAkHHWI3XBCUsqs6Q5gqLfv5zs9Gjw7enjLAofOOoEQEEEEAAAQQQQAABBBCIU8BrLR6oS4RFgaBjrMZrghIWVWdIc4VFV19tdvbZ4dtDWBTenBoRQAABBBBAAAEEEEAg9QJea/FAvScsCgQdYzVeE5SwqDpDSlhUHXdqRQABBBBAAAEEEEAAAQQqJOC1Fq9QG4rdhrComFAj/txrghIWVWdmRBYW7ZN9ZtHAgfVy0YHWjz76aL2+y5cQQAABBBBAAAEEEEAAgTQJeK3FA3WUsCgQdIzVeE1QwqLqDGlkYVHz7LAoq30KgVTWZr0lLfnz5DPeflad6UStCCCAAAIIIIAAAgggEF7Aay0eqLmERYGgY6zGa4ISFlVnSCMLiy7JDosuvti5fPbZZ/aLX/zCPvroI+vSpYsNrNlx1LVrV/fZm2++aTNmzLC33nrLOnbsaCeddJK1atXKxo4dWx1TakUAAQQQQAABBBBAAAEEAgp4rcUDtZOwKBB0jNV4TVDCouoMaWRhkWWHRTU7iDSv9ttvP3vqqafsuuuusxNOOMGaN29ex0s7jW677TY788wzrW/fvjZt2jRr0aJFdUypFQEEEEAAAQQQQAABBBAIKOC1Fg/UTsKiQNAxVuM1QQmLqjOkKQiLrrnmGjvnnHPs+uuvt9NOO62g00033eQCo6tr3ug2atSo6phSKwIIIIAAAggggAACCCAQUMBrLR6onYRFgaBjrMZrghIWVWdIUxAW7brrrvbPmvmxdOlSa9OmTUGnFStW2AYbbGA77rijPfvss9UxpVYEEEAAAQQQQAABBBBAIKCA11o8UDsJiwJBx1iN1wQlLKrOkKYgLOrQoYO1bNnSPvjgg5KMNt54Y3fG0ccff1zS9VyEAAIIIIAAAggggAACCKRZwGstHqjjhEWBoGOsxmuCEhZVZ0hTEBZtuOGG9sknn9iiRYusU6dOBZ3effdd22yzzewrX/mKOwybggACCCCAAAIIIIAAAgg0dgGvtXggHMKiQNAxVuM1QQmLqjOkKQiL+vfvb0888YSNHDnSfvnLXxZ0Ovnkk+3WW2+1fv362WOPPVYdU2pFAAEEEEAAAQQQQAABBAIKeK3FA7WTsCgQdIzVeE1QwqLqDGkKwqK7777bhg0bZs1q2nrEEUfY2LFjrUePHnW8Xn31Vbvkkkts4sSJ7rq77rrLjjzyyOqYUisCCCCAAAIIIIAAAgggEFDAay0eqJ2ERYGgY6zGa4ISFlVnSHv1spqToOvWXfMmMTv77PDtmTrVbMiQuvWuXev++8QTT7Tbb7/dBUEqetRs8803d//95ptv2ttvv+3+fG3N9ccff7y7loIAAggggAACCCCAAAIINAUBr7V4ICDCokDQMVbjNUEJi6ozpN/8ptmcOdGHRWrgzTffbBdffHHeg6432mgjt+vo9NNPr44ltSKAAAIIIIAAAggggAACVRDwWosHai9hUSDoGKvxmqCERdUZ0hSFRQL69NNP7ZFHHrHZs2ebDrNW0aHX36zpx3777WetW7eujiO1IoAAAggggAACCCCAAAJVEvBaiwdqM2FRIOgYq/GaoIRF1RnSlIVF1UGiVgQQQAABBBBAAAEEEEAgXgGvtXigbhEWBYKOsRqvCUpYVJ0hjTwseq9m99Ccmsfkli5danrMbLfddrMNN9ywOlbUigACCCCAAAIIIIAAAghEKOC1Fg/UH8KiQNAxVuM1QQmLqjOkkYZFy2o0Tqr55+4WLdyh1UlpUfPfw4cPt+uvv97WX3/96phRKwIIIIAAAggggAACCCAQkYDXWjxQPwiLAkHHWI3XBCUsqs6QRhgWramR6Ffzz6yaf9Z+8fazTBy9AW3QoEE2ZcqU6phRKwIIIIAAAggggAACCCAQkYDXWjxQPwiLAkHHWI3XBCUsqs6QRhgW/bZGYvgXGn369rUf/OAH1rVrV/v3v/9tt912mz3//POmwGjy5Mk2ePDg6rhRKwIIIIAAAggggAACCCAQiYDXWjxQHwiLAkHHWI3XBCUsqs6QRhgWKf6ZVvPPETX/TMx4BE1AmmP777+/zZgxw4VId955Z3XcqBUBBBBAAAEEEEAAAQQQiETAay0eqA+ERYGgY6zGa4ISFlVnSCMMizavkXin5p9/1fyzVVZYJKQnn3zS+vXrZ7vssovNnTu3Om7UigACCCCAAAIIIIAAAghEIuC1Fg/UB8KiQNAxVuM1QQmLqjOkEYZFOra6Zc0/OuS65nTrdVyWLVtmG2ywgW2xxRb2n//8pzpu1IoAAggggAACCCCAAAIIRCLgtRYP1AfCokDQMVbjNUEJi6ozpBGGRc1rJDrX/LMoT1ikP27evLl17tzZFi1yV1EQQAABBBBAAAEEEEAAgSYr4LUWD6RGWBQIOsZqvCYoYVF1hjRXWHTZZWYXXBC+PVOnmg0ZYoRF4empEQEEEEAAAQQQQAABBNIr4LUWD9RtwqJA0DFW4zVBCYuqM6S5wiK1JMfjXw3eQMKiBiemAgQQQAABBBBAAAEEEGh8Al5r8UAchEWBoGOsxmuCEhZVZ0hjCIseeMDsuuus5hVnzkA7i5olGjWPm9WnNGvWzFavXl2fr/IdBBBAAAEEEEAAAQQQQCBVAl5r8UA9JSwKBB1jNV4TlLCoOkOaKyzq0MFs6dIw7fnwQ7NOnawm2amtr048VBP61KcoLNJ8pCCAAAIIIIAAAggggAACjV3Aay0eCIewKBB0jNV4TVDCouoMabXDotmzzXbbrU7fL8n8r4svrrfL2LFj6/1dvogAAggggAACCCCAAAIIpEXAay0eqJOERYGgY6zGa4ISFlVnSHPt3Am5syhHWFQHohpnJ1VnJKgVAQQQQAABBBBAAAEEEKiXgNdavF41lv8lwqLyzRrNN7wmKGFR+Hlw661mJ520br2EReHHghoRQAABBBBAAAEEEEAAgXoKeK3F61lnuV8jLCpXrBFd7zVBCYvCz4QePcxeeYWwKLw8NSKAAAIIIIAAAggggAACFRPwWotXrBWFb0RYFAg6xmq8JihhUfghzXd4NDuLwo8FNSKAAAIIIIAAAggggAAC9RTwWovXs85yv0ZYVK5YI7rea4ISFoWfCW3bmq1YsW69hEXhx4IaEUAAAQQQQAABBBBAAIF6CnitxetZZ7lfIywqV6wRXe81QQmLws+EvfYye/ppwqLw8tSIAAIIIIAAAggggAACCFRMwGstXrFWFL4RYVEg6Bir8ZqghEXhh7RvX7MnnyQsCi9PjQgggAACCCCAAAIIIIBAxQS81uIVawVhUSDK9FXjNUEJi8IPOGFReHNqRAABBBBAAAEEEEAAAQQqLOC1Fq9wW/Ldjp1FgaBjrMZrghIWhR9SwqLw5tSIAAIIIIAAAggggAACCFRYwGstXuG2EBYFAk1TNV4TlLAo/FATFoU3p0YEEEAAAQQQQAABBBBAoMICXmvxCreFsCgQaJqq8ZqghEXhh3rHHc1eeGHdenkbWvixoEYEEEAAAQQQQAABBBBAoJ4CXmvxetZZ7td4DO0LsSVLltjkyZPt0Ucftblz59rrr79uq1atsk022cR69uxpw4YNs6OPPtpatGixjvGMGTNs4MCBRe3PP/98u/zyy/Net3z5crv22mvtvvvus9dee83Wrl1r3bt3t6FDh9qoUaOsXbt2Reso5wKvCUpYVA61/7U189L23Tf3fWIKi95+26xzZ//+cgcEEEAAAQQQQAABBBBAoJEKeK3FA5kQFn0B3bJlS1u9enUte+vWra1Vq1a2bNmy2j/bfffd7aGHHnIBUmbJDIs23XTTvEN31lln2bnnnpvz84ULF7rAacGCBe7z9ddf3/175cqV7t8KjaZPn27dunWr2NTwmqCERRUbh5Ju9N3vmv3xj7kvjSksuvlms1NOKalLXIQAAggggAACCCCAAAIINEUBr7V4IDDCoi+gmzVrZr1797bjjjvODjjgANtmm23cJ2/X7JQYP368+2fNmjXWv39/UziUWTLDIu0GKrdooqjuefPmmcKmO++80wYNGuRu8/DDD9vw4cPt3XffdTuc5syZk3N3U7l16nqvCUpYVB/y+n/nW98y++tfc38/prDopz81O++8+veTbyKAAAIIIIAAAggggAACjVzAay0eyIaw6Avov9YsxPfZZ5+87D+tWQTrMTKVJ554wvr06VN7rW9YpHBoxIgR7n4zZ860fv361WnH448/bnvvvbf7M12rQKsSxWuCEhZVYghKv0d2WFSz663mOcnPv09YVLojVyKAAAIIIIAAAggggAACVRbwWosHajthUYnQ7733nnXq1MldrXOFfvSjH9V+0zcs0m4lhUS5di0llSgsUmg0YMAA9zhaJYrXBCUsqsQQlH6P7LBos8207Y2wqHRBrkQAAQQQQAABBBBAAAEEohDwWosH6gFhUYnQOruog3Zw1JSrr77azj777IqERStWrLD27du7R9zGjRtn55xzTs4W6bMxY8a4R9DUljZt2pTY8vyXeU1QwiJv/7JuQFhUFhcXI4AAAggggAACCCCAAAKxCnitxQN1irCoROhJkybZoYce6q7+05/+5M41SkrmzqK99trL/lkTpOhgah2E3atXL/cWtcMPPzznWUPPPvusu0ZlypQpNnjw4Jwt0mcHHXSQ+0zf2WWXXUpquSZhvqLPdJC3ig73zvWmt7xfJiwqyb9iFxEWVYySGyGAAAIIIIAAAggggAAC1RQgLKqmfgXrXlVzNozCmRdffNG9leyll14yvT0tKZlhkf5MO5A+++wz066hpOiMoz/84Q+1j7Ilfz558mQ75JBD3H8+99xztvPOO+dsuT7TAdcqeiPbkCFDSuqhDu4upRAWlaJUxWsIi6qIT9UIIIAAAggggAACCCCAQOUECIsqZ1nVO40cOdLuuOMOU/Cit5Nl7ipSw/QWswkTJthhhx1mO+20k7Vr18619+WXX7brrrvObr31VvffeuPZrFmz6uzgueuuu+yYY45xn8+fP7/2LWzZHdZn2267rftjfWfYsGElmRAWlcQU/0WERfGPES1EAAEEEEAAAQQQQAABBEoQICwqASn2Sy6//HK78MILXTMvvfTS2v9dTrt1xlFyFlH228zqExZNnDjRjjrqqJKawGNoJTHFfxFhUfxjRAsRQAABBBBAAAEEEEAAgRIECItKQIr5kquuusrOO+8818Qf//jH9rOf/axezdXh1VtuuaUtXLjQPXL2wAMP1N6noR9DK9RgrwnKmUX1mgv1/hJhUb3p+CICCCCAAAIIIIAAAgggEJOA11o8UEc44DoPdOaOIr35TLuDfIoOuL7vvvtshx12cAdgJyXzgOupU6fagQcemLOa+h5wTVjkM2oRfZewKKLBoCkIIIAAAggggAACCCCAQP0FCIvqb1fVb1588cV2ySWXuDb47CjK7ES+sEiHYLdv3960+2jcuHG1j6tlA+izMWPGuPOOli1bZm3atPE28pqg7Czy9i/rBoRFZXFxMQIIIIAAAggggAACCCAQq4DXWjxQp9hZlAV9/vnn209/+lP3pwpnrrzySu+hUBC01VZb2RtvvGEHHXSQ6dGzzNK/f3+bOXOm6d96s1quklwzYMAAmz59unebdAOvCUpYVJExKPkmhcIi3WTt2pJv5XXh7Nlmu+2W/xb62fni0U2vevgyAggggAACCCCAAAIIINBIBbzW4oFMCIsyoHU+kc4pUrngggvssssuK2kY1tYs1Au9dUxvRDvrrLPcvfRWteOPP77OfXXo9YgRI9yfPfHEE9anT586nz/55JPWt29f92fZB2SX1MA8F3lNUMIiH/ryv1ssLJozx6xXr/LvW+43CIvKFeN6BBBAAAEEEEAAAQQQQKCOgNdaPJAlYdEX0NpFpEe9VPQY2tixY0segh49etjIkSPdeUPbbbede1RMRa+7v/HGG+2mm26q2fix1nr27Gmzaxbb66233joTpXfv3jZv3jzr3LmzC4QOOOAAd820adNs+PDh9s4777jvz6kJBZL7l9zAPBd6TVDCIl/+8r6fHRZlf7tmjtmpp5Z3z/pcTVhUHzW+gwACCCCAAAIIIIAAAgjUCnitxQM5EhbVQOvxsK997WuOXDuEOnXqVJBfB17rn6Rk7ipSELTBBhvYypUrbfny5bXX7LXXXnb//fe7MChX0ZvSBg4caAsWLHAfJ2cS6Uwjle7du7vHz7p161axqeE1QQmLKjYOJd0oOyzaf3+zP//5y6/ecIPZ6aeXdCuviwiLvPj4MgIIIIAAAggggAACCCDgtRYPxEdYVAP9n//8x50pVGrRriPtPkqKHi17+umnbe7cubZ48WJbsmSJ2/2jYEg7ho488kg79NBDrXnz5gWrULg0fvx4FyolodHWW29tQ4cOtdGjR1u7du1KbWJJ13lNUMKikowrdlF2WHTzzXV3EhEWVYyaGyGAAAIIIIAAAggggAACDSngtRZvyIZl3JuwKBB0jNV4TdBCYdGee5o99VSMXU5vmwiL0jt2tBwBBBBAAAEEEEAAAQQQyBDwWosHkiQsCgQdYzVeE7RQWKTO1hzKbTWP3lEqJEBYVCFIboMAAggggAACCCCAAAIIVFfAay0eqOmERYGgY6zGa4IWC4vQi10wAAAgAElEQVR0QHjGo3ox9j9VbUpLWNS6tZnO2ao5+4uCAAIIIIAAAggggAACCCCwroDXWjwQKGFRIOgYq/GaoMXCovPOM/vpT2PsdjrblJawSLoPPWQ2ZEg6nWk1AggggAACCCCAAAIIINDAAl5r8QZuW3J7wqJA0DFW4zVBi4VFF15odumlMXY7nW1KU1h0zTVmo0al05lWI4AAAggggAACCCCAAAINLOC1Fm/gthEWBQKOuRqvCVosLLroIrNLLom5++lqG2FRusaL1iKAAAIIIIAAAggggAACeQS81uKBVNlZFAg6xmq8Jmh2WNSli9miRV92k7CoskNOWFRZT+6GAAIIIIAAAggggAACCFRJwGstHqjNhEWBoGOsxmuCEhaFHVLCorDe1IYAAggggAACCCCAAAIINJCA11q8gdqUfVvCokDQMVbjNUEJi8IOKWFRWG9qQwABBBBAAAEEEEAAAQQaSMBrLd5AbSIsCgSbhmq8JihhUdghJiwK601tCCCAAAIIIIAAAggggEADCXitxRuoTYRFgWDTUI3XBCUsCjvEhEVhvakNAQQQQAABBBBAAAEEEGggAa+1eAO1ibAoEGwaqvGaoIRFYYeYsCisN7UhgAACCCCAAAIIIIAAAg0k4LUWb6A2ERYFgk1DNV4TlLAo7BATFoX1pjYEEEAAAQQQQAABBBBAoIEEvNbiDdQmwqJAsGmoxmuCEhaFHWLCorDe1IYAAggggAACCCCAAAIINJCA11q8gdpEWBQINg3VeE1QwqKwQ0xYFNab2hBAAAEEEEAAAQQQQACBBhLwWos3UJsIiwLBpqEarwlKWBR2iAmLwnpTGwIIIIAAAggggAACCCDQQAJea/EGahNhUSDYNFTjNUEJi8IOcbGwqHt3s3/9q+HbNHu22W67Fa7nmmvMRo1q+LZQAwIIIIAAAggggAACCCCQQgGvtXig/jZbW1MC1UU1kQl4TVDCorCj+bWvmb3xxpd13nqr2Ykn1m1DiB9lwqKw405tCCCAAAIIIIAAAggg0OgEvNbigTQIiwJBx1iN1wQlLAo3pCtWmLVtW7e+f/zDbKedvvyzr37V7N13G75NhEUNb0wNCCCAAAIIIIAAAggg0KgFvNbigWQIiwJBx1iN1wQlLAo3pH/7m9kee9St79NPzVq3JiwKNwrUhAACCCCAAAIIIIAAAghURMBrLV6RFhS/CWFRcaNGe4XXBCUsCjcvnnrKrE+fuvXpkbMttzR7/fXP/5ydReHGg5oQQAABBBBAAAEEEEAAAQ8Br7W4R73lfJWwqBytRnat1wQlLAozGxQKbbtt3cOrzzjD7PrrCYvCjAC1IIAAAggggAACCCCAAAIVFfBai1e0JflvRlgUCDrGarwmKGFRmCH997/Ntt66bl0nnGCmA67ZWRRmDKgFAQQQQAABBBBAAAEEEKiggNdavILtKHQrwqJA0DFW4zVBCYvCDOncuWa9e9et65hjzCZMICwKMwLUggACCCCAAAIIIIAAAghUVMBrLV7RluS/GWFRIOgYq/GaoIRFYYa01LBIrVm0yGyzzRq2XbwNrWF9uTsCCCCAAAIIIIAAAgg0egGvtXggHcKiQNAxVuM1QQmLwgxpobCoWbO6bRgyxOyhhxq2XYRFDevL3RFAAAEEEEAAAQQQQKDRC3itxQPpEBYFgo6xGq8JSlgUZkjLCYvUIh2I3ZCFsKghdbk3AggggAACCCCAAAIINAEBr7V4IB/CokDQMVbjNUEJi8IMKWFRGGdqQQABBBBAAAEEEEAAAQQCCXitxQO1kbAoEHSM1XhNUMKiMEMae1i0ySZm779f1+Kaa8xGjQrjQy0IIIAAAggggAACCCCAQMoEvNbigfpKWBQIOsZqvCYoYVGYIY09LNKB2m+/TVgUZjZQCwIIIIAAAggggAACCDQCAa+1eKD+ExYFgo6xGq8JSlgUZkgJi8I4UwsCCCCAAAIIIIAAAgggEEjAay0eqI2ERYGgY6zGa4IWC4u++U2zZ56JsdvpahNhUbrGi9YigAACCCCAAAIIIIAAAkUEvNbigXQJiwJBx1iN1wQtFhapww39Zq4YUSvdJsKiSotyPwQQQAABBBBAAAEEEECgqgJea/FALScsCgQdYzVeEzQ7LBowwGzGjC+72ayZ2Zo1MXY7XW0iLErXeNFaBBBAAAEEEEAAAQQQQKCIgNdaPJAuYVEg6Bir8Zqg2WHRiBFmv/41YVGlB5qwqNKi3A8BBBBAAAEEEEAAAQQQqKqA11o8UMsJiwJBx1iN1wTNFRY995yZwg0VdhZVZsgJiyrjyF0QQAABBBBAAAEEEEAAgUgEvNbigfpAWBQIOsZqvCYoYVGYIU1jWHTssWa/+U0YH2pBAAEEEEAAAQQQQAABBFIm4LUWD9RXwqJA0DFW4zVBCYvCDGkawyLJcLh5mPlBLQgggAACCCCAAAIIIJA6Aa+1eKDeEhYFgo6xGq8JSlgUZkjTGBZtuKHZhx+G8aEWBBBAAAEEEEAAAQQQQCBlAl5r8UB9JSwKBB1jNV4TlLAozJCmMSzq2NFsyZIwPtSCAAIIIIAAAggggAACCKRMwGstHqivhEWBoGOsxmuCEhaFGVLCojDO1IIAAggggAACCCCAAAIIBBLwWosHaiNhUSDoGKvxmqCERWGGlLAojDO1IIAAAggggAACCCCAAAKBBLzW4oHaSFgUCDrGarwmKGFRmCElLArjTC0IIIAAAggggAACCCCAQCABr7V4oDYSFgWCjrEarwlKWBRmSAmLwjhTCwIIIIAAAggggAACCCAQSMBrLR6ojYRFgaBjrMZrghIWhRnS2MOiLl3MFi2qa8EB12HmBrUggAACCCCAAAIIIIBAKgW81uKBekxYFAg6xmq8JihhUZghjT0sGjTI7M9/Nluz5ksPwqIwc4NaEEAAAQQQQAABBBBAIJUCXmvxQD0mLAoEHWM1XhOUsCjMkMYeFp1yitmBB5odfDBhUZgZQS0IIIAAAggggAACCCCQcgGvtXigvhMWBYKOsRqvCUpYFGZI0xAW3Xyz2TbbmC1Y8LkJO4vCzA1qQQABBBBAAAEEEEAAgVQKeK3FA/WYsCgQdIzVeE1QwqIwQ0pYFMaZWhBAAAEEEEAAAQQQQACBQAJea/FAbSQsCgQdYzVeE5SwKMyQEhaFcaYWBBBAAAEEEEAAAQQQQCCQgNdaPFAbCYsCQcdYjdcEJSwKM6SERWGcqQUBBBBAAAEEEEAAAQQQCCTgtRYP1EbCokDQMVbjNUEJi8IMaWxh0TPPmO2++5d91wHXnFkUZi5QCwIIIIAAAggggAACCDQKAa+1eCABwqJA0DFW4zVBCYvCDGmhsOiMM8xuvLFuO9aubdh2ff/7ZhMmEBY1rDJ3RwABBBBAAAEEEEAAgUYs4LUWD+RCWBQIOsZqvCYoYVGYIS0UFn32mVmrVl+2o2tXs4ULG7Zd++9v9sgjX9Zx6qlmN93E29AaVp27I4AAAggggAACCCCAQCMS8FqLB3IgLAoEHWM1XhOUsCjMkBYKi9SCzTYze+edz9sSIiw65BCzyZO/7Ptjj5ntvTdhUZjZQC0IIIAAAggggAACCCDQCAS81uKB+k9YFAg6xmq8JihhUZghjT0sevtts86dCYvCzAZqQQABBBBAAAEEEEAAgUYg4LUWD9R/wqJA0DFW4zVBCYvCDGmusOiHPzS7/fbP66/2ziLCojDzgFoQQAABBBBAAAEEEECg0Qh4rcUDKRAWBYKOsRqvCUpYFGZIc4VFkyaZffvbhEVhRoBaEEAAAQQQQAABBBBAAIGKCnitxSvakvw3IywKBB1jNV4TtFhYpA6vWWPWrFmMXU9Pm7LDoo03Nnv//S/bH3Jn0YoVZm3b1rVjZ1F65hItRQABBBBAAAEEEEAAgSgEvNbigXoQTVi0atWqmnN636l5uVOrmiNQas5AySiffPKJXXzxxTUvYXrEWrRoYQf9f/buA1yK6uD/+A8UAUFF9AUsqIhRIxpBsQUQsKKgUZEIlgjYEkuMjRB7wYLmtSeWgChRVAKxoQajAbnXFlBQ/5ZEsACxoIgGKZYX/nPmctm7e7fMztk59+ze7zyPj3J3TpnPnEXOjzNnBgzQhRdeqBYtWjhiqsxmrAZolLDosccksyEyR3yBzLDol7+U7rijYcKi4DuoK64gLIp/NymJAAIIIIAAAggggAACCMhqLu7Iz5uw6I9//KPOOussnXjiibrnnnvSLr93796qrq7W6tWrw583CVar9OnTR88++2z43xzxBKwGaLawyIRDixenOnP11QpSvXido1SNgE9h0aBB0qRJ6Xdm5UqpeXM2uGa8IoAAAggggAACCCCAAAIRBazm4hHbsD3Nm7DoiCOOCN7I/YSmTp2qAw44YO11Pf744zKfmVBoUDBZXT94DOaBBx7QDz/8oPHjx+u4446zNWi05a0GaLawaJttpEsvJSwq5YjyOSy66CJp1Kiaq91uO2nevJr/3nhj6csvS6lAXQgggAACCCCAAAIIIIBAxQhYzcUdKXgTFm2//fbBXHNesB3LF8FcM5hsrjkGDx6sv/zlLzrvvPN0/fXXhz+97bbbdPbZZ+uQQw7Rk08+6Yiq8pqxGqDZwiLzyFkQ7K09WFlkP2h8Dos+/FDaeuuaayQssr/X1IAAAggggAACCCCAAAKNQsBqLu5IyJuwqG3btjL7Fpn9ieoe7du3DwOkd999Vz/60Y/Cj5YuXaqNNtoo3Nvo448/dkRVec1YDVDCIjcDgrDIjTOtIIAAAggggAACCCCAAAKOBKzm4o766E1YZDa2No+YffXVV2sv/cNg5cK2226rLbbYQgsWLEgjMauPli9frm+//dYRVeU1YzVACYvcDAjCIjfOtIIAAggggAACCCCAAAIIOBKwmos76qM3YVG7du2CvZEXh/+0adMmvHyz0fXJJ5+so48+WhMnTkwjMSuLmjZtqiVLljiiqrxmrAYoYZGbAUFY5MaZVhBAoLBAsFegzBsZJ0yQNt9cuu8+qUePwuU4AwEEEEAAAQQQQCBNwGou7sjSm7DIbGo9bdq0cF8isz/RqlWr1KtXL7388su69dZbdcYZZ6wlMQHRJptsoh122EHvvPOOI6rKa8ZqgBIWuRkQhEVunGkFAQQKC/ztbwo2C0ydt+ee0iuvFC7HGQgggAACCCCAAAKERXHHwNixY3XKKadonXXWCd+G9vnnn+u1115TixYtZB5HMyuPao+nnnpKAwYMCP8xb0srxfFl8PYm8za25557Lnhb+av66KOPwj2UNt10U3Xt2lVDhgzRscceG/Yv17Fs2TLddNNNwdvFJ+n999/X6tWr1blzZw0cOFDnnnuuWrVqlbertuWLdSAsKlasAc4nLGoAdJpEAIGsAsH/p4PlvukfBf+f40AAAQQQQAABBBAoTsBqLl5cU7HP9mZlkVlJ1L9/f02dOnXtxTRp0kQ33nhj+Oazusfw4cOD1e/3rV2FFPvq6xRs1qyZfjBL7NcczZs3l9lHyWymXXvstddemjJlShggZR5mT6W+ffuGb3Qzhwm5zLFy5crw3yY0MiunOnbsmLW7tuXjGFgNUFYWxSEvvgxhUfFmlEAAgWQECIuScaVWBBBAAAEEEGh0AlZzcUda3oRF5npNYPTQQw/pxRdfDN92ZlYO7bPPPmkUZrXPEcHr2VesWKHbb79dXbp0KQmVCaa6d++uoUOH6uCDDw7eBL5dWO8nn3wSBlbmH9O/3r17a/r06Wltmhttys6ZM0fm7W3jxo1Tv379wnOefvppDRs2TIsWLQpXKM2aNave6iTb8nEBrAYoYVFc9uLKERYV58XZCCCQnABhUXK21IwAAggggAACjUrAai7uSMqrsMjRNWdt5h//+If222+/nF245pprdNFFF4WfV1dXB3t6pjb1NOGQWe1kjhkzZoR7LdU9qqqqtO+++4Y/MueaQKruYVs+rpvVACUsisteXDnCouK8OBsBBJITICxKzpaaEUAAAQQQQKBRCVjNxR1JERZFhDZ7KNXum2T2JfrNb36ztqRZbWRComyrjmpPMmGRCY369OkTPo5W97AtH/ES6p1mNUAJi+KyF1eOsKg4L85GAIHkBAiLkrOlZgQQQAABBBBoVAJWc3FHUt6ERTvuuKNOO+00nXjiiWrbtq2jy4/ejNm7aMMNNwwL3HDDDTr//PPD/zaPw7Vu3Tp8RG306NEaMWJE1krNZyNHjgwfQTN1tWzZsiTlo19B/TOtBihhkQ199LKERdGtOBMBBJIVICxK1pfaEUAAAQQQQKDRCFjNxR0peRMWNW3aVGbfILOp9NFHHx0GRz179nTEULiZRx99VEceeWR44t+C1webfY3MYd7Ytvvuu4f//eSTT+rQQw/NWpn5zOzBVFumW7duJSlfqOdmEOY6zGdmI29zmM29873prV4dhEWF6EvzOWFRaRypBQEE7AUIi+wNqQEBBBBAAAEEEAgECIuKGAZmpc748eP1xRdfhKGROcxqo1/+8pc64YQT1KZNmyJqK+2pZlNtE+68/fbb4VvN3nnnHZm3p5njiSee0OGHHx7+9+uvv66f/OQnWRs3n5kNrs1h3qhm3vxWivKFrrTWstB5hEWFhBroc8KiBoKnWQQQqCdAWMSgQAABBBBAAAEESiJAWFQk4/fff6/JkyfrrrvuCvcAWr16dRgcmdfQH3PMMTr11FO19957F1mr/emnnHKKxowZE/bFvN2sdlWRqXnChAk67rjjwkbee++9tW9Ry2zVfLb99tuHPzZlhgwZsva/bcoXujrCokJCnn8efA+CzbBSnQzCU91xR+rXm20mffpp6tfBdyaxY9AgadKkVPUffihtvXXNr83bA+fNS30WPJYZfGES6woVI4BAAwgQFjUAOk0igAACCCCAQCUKEBZZ3FUTrpjQKHO10c477xyuNjr++OO1wQYbWLQQreioUaN0ySWXhCdfeeWVa/+7tnScsOjBBx/U4MGDwypsyxe6Ch5DKyTk+efmscYgoFx7FAqLZs6UundP5qKKCYvMJu7BZu4cCCBQQQKERRV0M7kUBBBAAAEEEGhIAcKiEujnWm20/vrrh6tzzGqj7glNjq+77jr97ne/C6/iggsu0PXXX1/vinx/DC3fLbAaoOxZVILRHaGKI46QHnssdeJZZ0m33pr6debqnXvvVbBLfISKY5ySLyzKtopo+XIFO7nHaIgiCCDgpQBhkZe3hU4hgAACCCCAQPkJWM3FHV2uNxtcR7les9rIPBJmHlGr+3iV2WDahDmDzGS2REfdFUVmPyXzBrRsR90Nrp966ikdcsghWc+LssF1nPI2l2s1QAmLbOijlzWbqgebq6893nhD2mWX1K/N44wPPZT6dUOFRWecIf3xj+nXZfr9s59Fv1bORAABvwUIi/y+P/QOAQQQQAABBMpGwGou7ugqyyIs+u9//xs+jnb33XfrrbfeCvcyMkfHjh21YMGC8L9NeNQneOzlkUceWfuK+7iGl19+ua644oqweK4VRbV1r1ixQq1bt9aqYI+W0aNHa8SIEVmbNZ+NHDkyfOPY0qVLgwUXNSsubMvHvUZTzmqAEhbZ0EcvmxkWLVwobbFFqrwJaExQU3s0VFh0333S0KHp1/WnP0knnxz9WjkTAQT8FiAs8vv+0DsEEEAAAQQQKBsBq7m4o6v0Oix6+eWXw32L/vKXv4ShigmJzGbXZgXR6aefrr322kv//ve/g6dybtWfgompeaPXmWeeqVtuuSU230UXXaRrrrkmLG/CnWuvvbZgXb2DDYjNaifz7+nTp2c9v/YcE2hNM/u51DlsyxfsYI4TrAYoYVFc9uLKERYV58XZCCCQnABhUXK21IwAAggggAACjUrAai7uSMq7sChzFZFxMCGReWX9aaedpuHDh6tt27b1eJ599lkddNBB2nLLLTV//vxYfGZ/IrNPkTkuvvhiXXXVVZHqGTduXNgvc1RXV6tHjx5p5V544QX17Nkz/Jk5d2jGCgzb8pE6meUkqwFKWBSXvbhyhEXFeXE2AggkJ0BYlJwtNSOAAAIIIIBAoxKwmos7kvImLMq2iqhp06bq379/uIqo7uvqc9m0b99eixcvDlcYFXuYVUTmUTFzmMfQLrvssshVmBttNtmeM2eOOnToEAZCtf2dOnWqhg0bFrzd/FN17dpVs2bNCh9Fq3vYlo/c0YwTrQYoYVFc9uLKERYV58XZCCCQnABhUXK21IwAAggggAACjUrAai7uSMqbsMgEQ2bfIbOKyIQ+J510UriSyOxLFPXYZpttwj2M8r0uPltdZiXS1ltvHX5k+tCuXbu8TZoNr80/dQ/Tbt++fTVv3rzwx3X3JDK/NiujzONnua7HtnxUo7rnWQ1QwqI45MWXISwq3owSCCBQOoHgEXC9+KK00UbS7NkKXkGaXveaPQRL1yA1IYAAAggggAAClS9gNRd3xONVWNSrV69wFdFRRx2lZs2aFU3wn//8J1xVVBv8RK3gww8/VKdOnaKeHq46MquPMo9ly5bpxhtv1OTJk9eGRttuu60GDhyo8847T61atcrbhm35yBew5kSrAUpYVCx3vPPLJSwKVsxpjz3Sr5ENruPdc0oh4IvAt98q2BxQev31mh5tsIGCNzQQFvlyf+gHAggggAACCJStgNVc3NFVexMWmbecdenSxdFl04wRsBqgUcKiICDT738Pto1AuYRF5hr33FOaOTN1tYRFNneesgg0vECwB5+Cv8TJe7CyqOHvEz1AAAEEEEAAgbITsJqLO7pab8IiR9dLM3UErAZolLDItMVEwm7MlVNYdPfdCp4dJSyyu+OURsAfgWDPPfXrR1jkzx2hJwgggAACCCBQIQJWc3FHBoRFjqB9bMZqgGYLi048UerdO/1SCYvsbj1hkZ0fpRFAIL5AlLBo1Sqz2V/8NiiJAAIIIIAAAgg0QgGrubgjLy/DopdeeklVVVVauHChzD4+ZtPrbIfZjHqseTsLRywBqwGaLSy64w6pefNUX1q0kMzmqBzxBQiL4ttREgEE7ASihEXTp9f/SwK7VimNAAIIIIAAAghUvIDVXNyRjldhkXmT2JAhQ/Tqq6+mXb4Ji0wwVPeo/Vmxbz5z5FoWzVgN0GxhkQnudt5ZCvafCg/CIvtx4HFYdM/112t+EOZutdVWGj58uMRjaPb3mxoQ8EkgSlg0bpw0dKhPvaYvCCCAAAIIIICA9wJWc3FHV+dNWLRkyRJ17dpV5hXy7du3D55m6q2JEyeGr6A3bxP75JNP9Morr+ibb77Rpptuqv79+4dE48wfVDliCVgN0Fxh0S67SOYzwqJY96ReIY/Dol7B28+qgw2te/bsGa4EJCwqzS2nFgS8ESAs8uZW0BEEEEAAAQQQqCwBq7m4IwpvwqIrrrhC5p89gzcqPffcc+Fr5ps2baoOHTro448/DjlMUGReWW9eT3/GGWfotttuc8RUmc1YDVDCIjeDgrDIjTOtIIBAfQHCIkYFAggggAACCCCQiIDVXDyRHtWv1JuwaI9glcJrr72mqcEfTg844ICwp5lhUW33TVB05513avLkyTriiCMcUVVeM1YDlLDIzYAgLHLjTCsIIEBYxBhAAAEEEEAAAQQcCVjNxR310ZuwqE2bNuHKoRXBhsjNmjVbGxZtsskm+vzzz9M4zEqjLbfcUgcffLCefvppR1SV14zVACUscjMgCIvcONMKAggQFjEGEEAAAQQQQAABRwJWc3FHffQmLDJ7E62//vpavHjx2ks3j6IZxJUrV9bjaNu2rdZbbz19+umnjqgqrxmrAUpY5GZAFBsW/fzn0sMPJ9O3QYOkSZPW1s2eRckwUysC3gjwGJo3t4KOIIAAAggggEBlCVjNxR1ReBMWderUSQsXLgyDoXXWWSe8fPOz+fPn6/3339fWW2+9lsTAmnDJvCHt22+/dURVec1YDVDCIjcDolBYdMcd0umnp/cleHtgIgdhUSKsVIqAtwKERd7eGjqGAAIIIIAAAuUtYDUXd3Tp3oRFffr0Cd+o9OGHH6pjx47h5R911FF67LHH9Pvf/17nnHPOWpJJweqGnwcrKMyjaCZM4ognYDVACYvioRdbqlBYNGuWFOz3tfbo3FmaO7fYVqKdT1gUzYmzEKgUAcKiSrmTXAcCCCCAAAIIeCZgNRd3dC3ehEVXXnll+Da0e+65RyeeeGJ4+Q8Hj9MMGTIkXEV06aWXqlu3bnr99dc1atSocH+jU089VXeYlRUcsQSsBihhUSzzogsVCotMhcEKO8KiomUpgAAChQQIiwoJ8TkCCCCAAAIIIBBLwGouHqvF4gt5ExbNnj1bu+++uw488MDwjWi1h3kz2j/+8Y/wkbPaY3XwmM3mm2+uWcGqig4dOhR/1ZQIBawGKGGRm1EUJSwK9u/SkiU1/WFlkZv7QisINAYBwqLGcJe5RgQQQAABBBBoAAGrubij/noTFuW6XvN2tKuvvloPPfSQFixYIPPWtH79+oWri2ofV3NkVXHNWA1QwiI344GwyI0zrSCAQH0BwiJGBQIIIIAAAgggkIiA1Vw8kR7Vr9T7sMiRQ6NsxmqAEha5GTOERW6caQUBBAiLGAMIIIAAAggggIAjAau5uKM+ehMW3XrrreElH3300eEjZhzJC1gNUMKi5G+QaYGwyI0zrSCAAGERYwABBBBAAAEEEHAkYDUXd9RHb8Kipk2bat1119XSpUvVvHlzR5ffuJuxGqCERW4GD2GRG2daQQABwiLGAAIIIIAAAggg4EjAai7uqI/ehEX/8z//I7Nx9RdffOHo0mnGaoASFrkZQIRFbpxpBQEECIsYAwgggAACCCCAgCMBq7m4oz56Exbtu+++eumll7R48WJtuOGGji6/cTdjNUAJi9wMHsIiN860ggAC8cKiLbZQ8PYJBa8sRRABBBBAAB2f1ccAACAASURBVAEEEEAgooDVXDxiG7aneRMW3XPPPTr55JN1ww036LzzzrO9LspHELAaoIRFEYRLcAphUQkQqQIBBGIJRHkbmqn4xRelffaJ1QSFEEAAAQQQQACBxihgNRd3BOZNWGSud/DgwXrkkUf0+9//Xr/61a/CPYw4khOwGqCERcndmLo1Exa5caYVBBCoLxA1LJowQRoyBEEEEEAAAQQQQACBiAJWc/GIbdie5k1YNHz48HDPosmTJ2vZsmVq06aN9txzT7Vr107rrLNO1utsEix7Hzt2rK1Boy1vNUAJi9yMG8IiN860ggAChEWMAQQQQAABBBBAwJGA1VzcUR+9CYvM29BM+GMCo0JH7Xnm3waZI56A1QAlLIqHXmwpwqJixTgfAQRKJcDKolJJUg8CCCCAAAIIIJAmYDUXd2TpTVg0dOjQMCwq9hg3blyxRTh/jYDVACUscjOOCIvcONMKAgjUFyAsYlQggAACCCCAAAKJCFjNxRPpUf1KvQmLHF0vzdQRsBqghEVuxhJhkRtnWkEAAcIixgACCCCAAAIIIOBIwGou7qiPhEWOoH1sxmqAEha5uaWERW6caQUBBOoLXHqpdNVVhWXY4LqwEWcggAACCCCAAAJ1BKzm4o4kCYscQfvYjNUAJSxyc0sJi9w40woCCNQX2G47ad68wjKERYWNOAMBBBBAAAEEECAsKu0YMG9EW7x4cfDn1Qh/YC1t0xVfG2FRGdxiwqIyuEl0EYEKFejVS6quLnxxhEWFjTgDAQQQQAABBBAgLCrtGNhss820aNEi3npWWtawNsKiBFBLXSVhUalFqQ8BBKIKEBZFleI8BBBAAAEEEECgKAGruXhRLcU/2fvH0AiL4t/cQiWtBiiPoRXiLc3nhEWlcaQWBBAoXoCwqHgzSiCAAAIIIIAAAhEErObiEeovxSmERaVQLNM6rAYoYZGbu96kSXo7CxdKW2yR/rO2baUlS2p+1rmzNHduMn3L6EuvPfZQ9cyZ6tmzp6qqqqS775ZOOy297e++k5o1S6Y/1IoAAskKEBYl60vtCCCAAAIIINBoBazm4o7UCIscQfvYjNUAJSxK/pZ+/rnUrp0fYZEJo0woVeeIFBb9/e/SAQckb0ULCCBQegHCotKbUiMCCCCAAAIIIBAIWM3FHQkSFjmC9rEZqwFKWJT8Lc00Ni3+8IO0zjrpbbtYWfSvf0k77pgeFvXooeoXXsi/smj8eOmEE5K3ogUEECi9AGFR6U2pEQEEEEAAAQQQICwqzRg46qijgidslmjatGn1KnzzzTe1yy67lKahRlgLYZHnNz0zLNp5ZykY8/WOhgiLgldq9+rQIXhRUnUqLLr3XmnYsPTuERZ5PsjoHgJ5BFq2lFauLEzE29AKG3EGAggggAACCCBQR8BqLu5IssFWFvXt21f33Xefttpqq6IvddWqVbr22mt11VVXBX+OjfAH2aJbaBwFrAYoK4uSHySZxiaIueceP8Ki449Xrw8/TA+LPvpI2mYbwqLkRwYtIJC8wFdfSRtvXL+dzTeXPv44/eeERcnfD1pAAAEEEEAAgYoSsJqLO5JosLCoadOm2nDDDXXjjTdq+PDhkS/33Xff1YknnqhZs2aFZQwyRzwBqwFKWBQPvZhS5RYWmWs7+2zp1ltTVzlihDR6dDFXzbkIIOCDwIwZUu/ehEU+3Av6gAACCCCAAAIVJ2A1F3ek0WBh0XbBYyzvv/++mgRvWOrfv7/+9Kc/qX379jkve/Xq1frf//1fXXrppeFqonXXXVcXXnihLr/8ckdUldeM1QAlLEp+QJRjWHTbbdKvf51uE3x3ORBAoMwEpk+XghXA9Q5WFpXZjaS7CCCAAAIIIOCjgNVc3NEFNVhYtHz5cp177rnB27bvDgOjtsG+K3feeacGDhxY79LnBq8CN6uJXn75ZZnQaKeddgofYdt9990dMVVmM1YDlLAo+UFRjmHR1KlSv34pm+23l8zm2BwIIFBeAoRF5XW/6C0CCCCAAAIIlJWA1Vzc0ZU2WFhUe31/+9vfdPLJJwdbIHwchkZDhgzR7bffrjZt2oSn3Bo80mJWEK1YsSL8/Pzzz9eVV16p9dZbzxFR5TZjNUAJi5IfGOUYFplVRMEjpmsPwqLkxwktIJCEAGFREqrUiQACCCCAAAIIhAJWc3FHhg0eFpnr/CrYSPOXv/ylJk6cGAZCW2yxha6++mqNHTtWVVVV4Wqi7YNJ573B25b23ntvRzSV34zVACUsSn6A+BQWBY9/BjvKp6452wbXtZ+aoPfrr2t+RViU/DihBQSSECAsSkKVOhFAAAEEEEAAAcKiOGPg4Ycf1hlnnKEvv/wyDI1MSGT+/etgDxTz9rMWLVrEqZYyOQQIizwfGsFjl9pnn1QnG/JtaIMGSZMmpfpy9NHq9emn6W9DIyzyfEDRPQSKECAsKgKLUxFAAAEEEEAAgeIErObixTUV+2wvVhbV9v6zzz4LH0N7/vnn1wZF/YL9Tx555BEeO4t9i3MXtBqgrCxK4I5kVBkEMpo82Y+wKFhJpAceSPUl+O9ed9xBWJT8KKAFBBpGgLCoYdxpFQEEEEAAAQQahYDVXNyRkDdhkXkErXZVkVlRtMMOOwT74v4rXFnUpUuXcEPrbt26OWJpHM1YDVDCouQHyTHHKHg208+wKPhu9jrpJMKi5EcBLSDQMAKERQ3jTqsIIIAAAggg0CgErObijoQaPCwy+xWdfvrpMo+gmZBo8+C1vGPGjAleqNRPt9xyy9rNrZs1a6aLL75YF110UbB/bp0NdB1BVWIzVgOUsCj5ITF4sIIvRqqdWbMUvAKwfrvBmwS1ZEnNzzt3loK3B5b8yFxZRFhUcmIqRMArgVxh0ZZbSgsXpnd1wgQFy4K96j6dQQABBBBAAAEEfBawmos7urAGDYtq34T2ySefhEGReQTtD3/4w9o3oRkDs7roF7/4hWbOnBmuMto9mCyPHz9eO+64oyOiym3GaoASFiU/MDLDonnzpG23JSxKXp4WEEAgV1hk9i/7y18IixghCCCAAAIIIICAhYDVXNyi3WKKNlhYdNppp4UriExItMkmm+iOYP+To80eLVmOVatW6ZprrglexnSVvv/++3Cj61GjRuncc88t5lo5N0PAaoASFiU/ngiLkjemBQQQyC6QLSwym9wvWqRgOTBhEeMGAQQQQAABBBCwELCai1u0W0zRBguLah8lO+yww3T33Xerffv2Bfs9e/bscJXRW2+9Fa4y6tmzZ7gZNkc8AasBSlgUD72YUoRFxWhxLgIIlFIgMyy64ALp+usV/M0OYVEpnakLAQQQQAABBBqlgNVc3JFYg4VFbdq00c0336yhQ4cWdanfffdduHfRjTfeGK5KMsgc8QSsBihhUTz0YkoRFhWjxbkIIFBKAcKiUmpSFwIIIIAAAgggkCZgNRd3ZNlgYdH8+fO11VZbxb7MF154IQya3nvvvdh1NPaCVgOUsCj54UNYlLwxLSCAQHYBwiJGBgIIIIAAAgggkJiA1Vw8sV6lV9xgYVEprm/58uVaf/31S1FVo6zDaoASFiU/ZgiLkjemBQQQICxiDCCAAAIIIIAAAo4FrObijvpa1mGRI6OKbcZqgBIWJT8u4oRFplfB45klP44/XnrggVS1wVsKe510kqqrq8O9w6qqqlKfBY+Y6uuva369/fbmlYYl7w4VIoBAwgKsLEoYmOoRQAABBBBAoDELWM3FHcERFjmC9rEZqwFKWJT8LY0bFs2dK3XuXNr+ERaV1pPaEPBdgLDI9ztE/xBAAAEEEECgjAWs5uKOrpuwyBG0j81YDVDCouRvadSwKHgzYNrx8MPSz39e2v5ltsHKotL6UhsCvgkQFvl2R+gPAggggAACCFSQgNVc3JEDYZEjaB+bsRqgUcIic9FJPBLlI2YSfYoaFu22mzR7dqoHDz4ombKlOoK9wdSqVXpthEWl0qUeBPwUICzy877QKwQQQAABBBCoCAGrubgjAcIiR9A+NmM1QHOFRdtuK33wQepyR4+WRozw8fL971PUsOimm6Rzz00uLPrwQ6lTp3SvFSvU68AD2bPI/1FEDxGIJ5ArLHruOemAA9LrnDBBGjIkXjuUQgABBBBAAAEEGqGA1VzckRdhkSNoH5uxGqC5wqLMx5Vat5aWLvXx8v3vk69hkXkD4bJl6tWrF2GR/6OIHiIQTyBXWGRWi262mfTZZ6l6CYviGVMKAQQQQAABBBqtgNVc3JEaYZEjaB+bsRqgUcMic+E8ihbv9vsaFg0aJE2cSFgU765SCoHyEMgVFpne33yzdM45hEXlcSfpJQIIIIAAAgh4KGA1F3d0PYRFjqB9bMZqgBIWJX9LCYuSN6YFBBDILkBYxMhAAAEEEEAAAQQSE7CaiyfWq/SKCYscQfvYjNUAJSxK/pYSFiVvTAsIIEBYxBhAAAEEEEAAAQQcC1jNxR31lbDIEbSPzVgNUMKi5G8pYVHyxrSAAAKERYwBBBBAAAEEEEDAsYDVXNxRXwmLHEH72IzVACUsSv6WEhYlb0wLCCBAWMQYQAABBBBAAAEEHAtYzcUd9ZWwyBG0j81YDVDCouRvKWFR8sa0gAAChEWMAQQQQAABBBBAwLGA1VzcUV8JixxB+9iM1QAlLEr+lhIWJW9MCwggQFjEGEAAAQQQQAABBBwLWM3FHfWVsMgRtI/NWA1QwqLkbylhUfLGtIAAAoRFjAEEEEAAAQQQQMCxgNVc3FFfCYscQfvYjNUAJSxK9pbOny9tvXV6G/PmSdtuW7/dm26Szj039fMHH5RM0FSq48MPpU6dUrUNGiRNnKhevXqpurpaPXv2VFVVVerzNm2kr7+u+fX220v/+lepekI9CCDgSmD6dKlv31RrF1wgXX99za9vvlk655zUZxMmSEOGuOoZ7SCAAAIIIIAAAmUvYDUXd3T1hEWOoH1sxmqAEhYle0tN+GNCoLoHYVGy5tSOAAIpAcIiRgMCCCCAAAIIIJCYgNVcPLFepVdMWLTGY/ny5ZoxY4Zee+01zZ49O/zn/fff1+rVq3XiiSfq3nvvzXlLpgd/qO5b929gc5x50UUXadSoUTnrWbZsWZAP3KRJkyatbbtz584aOHBgsHDkXLVq1aqkw8JqgOYKiwIrjR+f3s/AkKNIgZ/+VHrpJT/CInM/zX2tPVhZVOTN5HQEylCgmLBozz2lV14pw4ukywgggAACCCCAQMMIWM3FHXWZsGgNdL7Ap5iwqH379jlv3TnBsv3f/va3WT9fsGBBGDjNM6tHgqNFixbhv1euXBn+24RG06ZNU8eOHUs2NKwGaK6w6KuvpI03TvVxo40k8zOO4gR8CotOOEG6//5U//v3l6ZMifYYmin1zTcKks7irp+zEUCgYQXyhUV33CGdfnqqf5tsIn3xRcP2l9YRQAABBBBAAIEyErCaizu6TsKiNdAmLDrqqKPUtWtXdevWLfzn+mB/hjfffLOolUVmJVKxhxko3bt315w5c2TCpnHjxqlfv35hNU8//bSGDRumRYsWhX2bNWuW1llnnWKbyHq+1QDNFRaZlsw+Ne+9V9MmYVG8e+VTWHTSSdI996Su46qrpIsvzh0WNWmSfs2nnirddVc8B0ohgEDDCOQLi+bOlX70o1S/fvxj6e23G6aftIoAAggggAACCJShgNVc3NH1EhatgTY3KzOEMRv3vvDCC4mHRSYcGj58eNgT8yic2Ti47mE2D953333DH5lzhw4dWpLhYTVACYtKcg9yVuJzWPTGG9Iuu0QPi8xFxghRkwWmdgQQyCsQ/L8m+B9T6pS6G1ybn9YNhQmLGEwIIIAAAggggEBRAlZz8aJain8yYVEeO1dhUe/evcOQyPzbrHDKdpiwyIRGffr0CR9HK8VhNUAJi0pxC3LXYRMWmf216u4xZNvTzJVFhEW2opRHwH+BIBCW+X2+9jj/fOmGG1K/bt1aCvbZCw/CIv/vJz1EAAEEEEAAAa8ErObijq6EsKiBw6IVK1aodfCH7lWrVmn06NEaMWJE1h6Zz0aOHBmuflq6dKlatmxpPUSsBihhkbV/3gpswiJTsZnErb9+afpIWFQaR2pBoJwEDjhAeu65VI9vvlk6+2zConK6h/QVAQQQQAABBLwVsJqLO7oqwqISh0U/DSb5/y8IUszG1Jtuuql23313HXvssRoUvEEq215D5u1r5hxzPPnkkzr00EOz9sh8NmDAgPAzU8bsqRTlMIMw12E+a968efjxDz/8UNxeSIRFUfjjn2MbFv3975KZ7JXiICwqhSJ1IFBeAplh0eLFUtu2qWuou7LI/PT776V11y2va6S3CCCAAAIIIIBAAwkQFjUQfKmajfMYmml7ww03DP7c/L3MqqHao0ePHvrrX/+qdu3apXXviSee0OGHHx7+7PXXX9dPfvKTrN03n5kNrs0xJXgTVX/zRqoIR5PMzYZzlCEsioDp8hTbsCgYazryyNL0mLCoNI7UgkA5CWSGRV9/bf7nlrqCzP+3mFWxwQpYDgQQQAABBBBAAIHCAoRFhY28PiNqWGTeYnZ/8Grxo48+Otj3d5fgLeE1rwl/9913dXOwdP+uNW+CMm88e/nll9NW8EyYMEHHHXdceP57wRvEtttuu6wm5rPtzVvGgsOUGTJkSCQ7wqJITP6dRFjk3z2hRwg0JoFiwyJjw0b2jWmEcK0IIIAAAgggYCFAWGSB50PRqGFRob7eEGwKWrsXUebbzOKERQ8++KAGDx5cqNnwcx5Di8Tk30mERf7dE3qEQGMSiBMWBX9Boh12aExKXCsCCCCAAAIIIBBLgLAoFps/hUoVFpnNq7fZZhstWLAgfOTsscceW3uRST+Glk/TaoCyZ1GyA5WwKFlfakcAgfwCccKi4BHp4BlpZBFAAAEEEEAAAQQKCFjNxR3pssF1HuhShUWmCbPB9aRJk9SlS5dwA+zao+4G10899ZQOOeSQrD2Ku8E1YZGjb1KpmyEsKrUo9SGAQDEChEXFaHEuAggggAACCCBQlABhUVFc/p3sIiwym2C3Dt4qY1YfjQ42B619XC1Tw3w2cuTIcL+jpUuXqmXLltZgVgOUlUXW/nkrICxK1pfaEUAgvwBhESMEAQQQQAABBBBITMBqLp5Yr9IrZmVRHuhShUUmCOrUqZPmz5+vAQMGyDx6Vvfo3bu3ZsyYIfPv6dOnZ+1R7Tl9+vTRtGnTSjI8rAYoYVFJ7kHOSgiLkvWldgQQICxiDCCAAAIIIIAAAg0kYDUXd9RnwqIShEWrgzfA5HvrmHkj2jnnnBO2NGbMGJ1kXkVe5zCbXg8fPjz8SXV1tXr06JH2+QsvvCATXJkjc4Nsm3FiNUAJi2zoC5clLCpsxBkIIJCcACuLkrOlZgQQQAABBBBo9AJWc3FHeoRFdaCXLFmS9vYwswrolVdeCd88dtttt609s1mzZtpoo43W/nrHHXfUKaecEu43tEPwJhjzqJg5zOvuTbnbb789eKPwanXt2lUzZ87Uuuuum3Z7zUDp3r275syZow4dOoSB0MEHHxyeM3XqVA0bNkyffvppWH7WrFlr67cdI1YDlLDIlj9/ecKiZH2pHQEE8gsQFjFCEEAAAQQQQACBxASs5uKJ9Sq9YsKiOh7mjWUfffRRQfrMx8XqrioyQZAJklauXKlly5atreunweR/8uTJYRiU7TBvSuvbt6/mzZsXfly7J5HZ08gcnTt3Dh8/69ixY8H+RT3BaoASFkVljnceYVE8N0ohgEBpBAiLSuNILQgggAACCCCAQBYBq7m4I1HCohKERebRspdeekmvvvqqPvvsM3355Zfh6h8TDJkVQ8ccc4yOPPJINW3aNO9tNeHSjTfeGIZKtaHRtttuq4EDB+q8885Tq1atSjosrAYoYVFJ70W9ygiLkvWldgQQyC9AWMQIQQABBBBAAAEEEhOwmosn1qv0igmLHEH72IzVACUsSvaWEhYl60vtCCBAWMQYQAABBBBAAAEEGkjAai7uqM+ERY6gfWzGaoASFiV7SystLDKPd261VbJm1I4AAqUTYGVR6SypCQEEEEAAAQQQyBCwmos70iQscgTtYzNWA5SwKP8tveUW6eqrFTyPKF11lXTyycUNgUoLix57TDr88OIMOBsBBBpG4IYbpBEj0tv++mtpww1TP2vSpH7fpkyR+vdvmD7TKgIIIIAAAgggUEYCVnNxR9dJWOQI2sdmrAYoYVHuWxq8VU9t26Y+X2896auvFGxoJc2dK+2xh4Jd0PMPiUoLix59VPrZz3z8GtAnBBCoK2B+n8r2IgbCIsYJAggggAACCCBQMgGruXjJepG/IsIiR9A+NmM1QAmLct/St9+WunRJ//z3v5cuuEBavVpq31565RVp661z10FY5ONXhj4hUPkCr70m7b57/eskLKr8e88VIoAAAggggIAzAau5uKNeEhY5gvaxGasBSlhUXFhkVhoFb8lbe9x0k/Sb3xAW+fjFoE8INGYBwqLGfPe5dgQQQAABBBBwJGA1F3fUR8IiR9A+NmM1QAmLiguLMs82+xhdfDFhkY9fDPqEQGMWICxqzHefa0cAAQQQQAABRwJWc3FHfSQscgTtYzNWA5SwyO+wqNDKpWIG5EknSffckyrxxhvSLruoV69eqq6uVs+ePVVVVZX6PNvGt+xZVIw45yLQcAKERQ1nT8sIIIAAAggg0GgErObijpQIixxB+9iM1QAlLPI7LDIbaJtNtUtxEBaVQpE6ECgPAcKi8rhP9BIBBBBAAAEEylrAai7u6MoJixxB+9iM1QAlLPI7LOraVZo9uzTDLnOlUKGVRd26SXPmpLfNyqLS3AtqQSBpAcKipIWpHwEEEEAAAQQQkNVc3JEfYZEjaB+bsRqghEV+h0UmsDGTPtvjm2+kDTZIr+Wtt6Sddsr9GNrMmdKee6aXueUW6de/tu0N5RFAIGkBwqKkhakfAQQQQAABBBAgLGIM+C1AWJTQ/Xn7balLl/yVJ73BdanCok8+kTbfPP1avvtOatYsd1hkzr766vobeGe+ejshfqpFAAELAcIiCzyKIoAAAggggAAC0QSs5uLRmrA+i5VF1oTlW4HVAGVlUe4bX8lh0Y47Su+8E157zg2uc4VFzz4r7b9/+X5h6DkCjUGAsKgx3GWuEQEEEEAAAQQaWMBqLu6o74RFjqB9bMZqgBIWNc6w6PDDpcceixcWPf201K+fj18F+oQAArUChEWMBQQQQAABBBBAIHEBq7l44r2raYCwyBG0j81YDVDCIsKiXr1UXV2tnj17qqqqKt0j22NohEU+/jZAnxBIFyAsYkQggAACCCCAAAKJC1jNxRPvHWGRI2J/m7EaoIRFhEWERf5+uekZAnEFCIviylEOAQQQQAABBBCILGA1F4/cit2JrCyy8yvr0lYDlLCIsIiwqKy//3QegawChEUMDAQQQAABBBBAIHEBq7l44r2raYCwyBG0j81YDVDCIsIiwiIfv9b0CQE7AcIiOz9KI4AAAggggAACEQSs5uIR6i/FKYRFpVAs0zqsBihhEWERYVGZfvPpNgJ5BKKGRWedJd1+e3pFU6ZI/fvDiwACCCCAAAIIIFBAwGou7kiXsMgRtI/NWA1QwqLGERZl3mfehubjV5k+IVA6gahh0f/9n7TvvtKLL6baJiwq3X2gJgQQQAABBBCoaAGrubgjGcIiR9A+NmM1QAmLGkdY9JvfSLfckrrWww6THn88/HUvVhb5+LWmTwjYCUQNi0wrV14pXXYZYZGdOKURQAABBBBAoBEKWM3FHXkRFjmC9rEZqwFKWORPWDR1qtSvX3p/unWTzKTP9jj9dOmOO1K1HHSQZNojLLKVpTwCfgoQFvl5X+gVAggggAACCFSUgNVc3JEEYZEjaB+bsRqghEX+hEWrV0s33SSdd16qT0mFRdOnS717Exb5+IWmTwiUQoCwqBSK1IEAAggggAACCOQVsJqLO7IlLHIE7WMzVgOUsMifsKi2J+uuK5l9RMyRVFg0c6bUvTthkY9faPqEQCkECItKoUgdCCCAAAIIIIAAYRFjoHwFCIsSundvvy116ZK/8quuki6+OPc5hx4qPf10+udffCFtsknuMoRFCd1QqkWgEQkQFjWim82lIoAAAggggEBDCVjNxR11mpVFjqB9bMZqgLKyKPctLUVYdOKJ0vjxqTbMW4eefz7/MCIs8vFrRp8QKC8BwqLyul/0FgEEEEAAAQTKUsBqLu7oigmLHEH72IzVACUschsWmQDqxz8mLPLxi0SfEKgkAcKiSrqbXAsCCCCAAAIIeCpgNRd3dE2ERY6gfWzGaoBGDYvMhX/7rbTeej4SJNOnJFYWERYlc6+oFQEE0gUIixgRCCCAAAIIIIBA4gJWc/HEe1fTAGGRI2gfm7EaoMWERaecIt19t48EyfSJsEi6+ur6ezKZPZj69UvGnFoRQKA0AoRFpXGkFgQQQAABBBBAII+A1VzckSxhkSNoH5uxGqD5wqLddpNmz05d8hZbSAsX+kiQTJ8Ii7KHRcOHS2PHJmNOrQggUBqBXGHRypVS8+bpbVx5pXTZZamfTZki9e9fmn5QCwIIIIAAAgggUMECVnNxRy6ERY6gfWzGaoDmC4vMKqLTTktdcrt20mef+UiQTJ8Ii7KHRUb744+lzTZLxp1aEUDAXiBXWLR6df26CYvsvakBAQQQQAABBBqlgNVc3JEYYZEjaB+bsRqg+cIic7FNmhAW5bvpV11V/zGtuudnvg2tEvYsMtf3j39Iffv6+HWgTwggYASyhUXHHCM99BBhESMEAQQQQAABBBAokYDVXLxEfShUDWFRIaEK/txqgBYKi7beWpo/v0aPlUX1RxFhUQV/s7g0BMpYIFtYZMLre+8lLCrj20rXEUAAAQQQQMAvAau5uKNLISxyBO1jM1YDlLAo9y3lMbTcj6GxssjHWlu0fgAAIABJREFU3wroEwIpgWxh0QMPSMceS1jEOEEAAQQQQAABBEokYDUXL1EfClVDWFRIqII/txqghEWERb16qbq6Wj179lRVVVW6R7a3oZkznnpKOuSQCv5WcWkIlLlAtrBo1ar0R4trL5E9i8r8ZtN9BBBAAAEEEGgoAau5uKNOExY5gvaxGasBSlhEWBQnLNpzT+mVV3z8OtAnBBAwAplhkXlZwZ13ZrchLGLMIIAAAggggAACsQSs5uKxWiy+EGFR8WYVU8JqgBIW5R4Hf/+7dNBB+cdJY92zaN99peefr5jvEBeCQMUJEBZV3C3lghBAAAEEEEDAPwGrubijyyEscgTtYzNWA5SwKPctPfJI6dFH899y8zfyl1yS+5xKfRvafvtJzz3n49eBPiGAgBEgLGIcIIAAAggggAACiQtYzcUT711NA4RFjqB9bMZqgBIW5b6lQ4Zkf810ZonVqwmLfPxi0CcEGrPA6NHSyJEpAR5Da8yjgWtHAAEEEEAAgYQErObiCfUps1rCIkfQPjZjNUAJiwiL4uxZxMoiH38roE8IpAQOPFB69tnUr4cPl8aOzS6UuWeRefz2ySeldddFFAEEEEAAAQQQQCCPgNVc3JEsYZEjaB+bsRqghEV2YdF660nffpu7Dh5D8/ErQ58QqHyBo46SHnkkdZ1jxkgnnRQtLDJnXXqpdMUVle/EFSKAAAIIIIAAAhYCVnNxi3aLKUpYVIxWhZ1rNUAJiwiL8q0s+uMfpTPOqG/EyqIK+12Ey6k4gcywaMECacsts1/m5ZfXD4b69JGmTas4Fi4IAQQQQAABBBAopYDVXLyUHclTF2GRI2gfm7EaoIRFhEX5wqJFi6T27QmLfPzi0ycE8gnYhkW88ZDxhQACCCCAAAIIFBSwmosXrL00JxAWlcaxLGuxGqCERYRF+cIio/Pb30rXX5/uxMqisvy9gk43IgHCokZ0s7lUBBBAAAEEEGgoAau5uKNOExY5gvaxGasBWkxYZC4+35u/fMSx6VOUt6FV+p5Fxu93v5Ouu46wyGYsURYB1wKERa7FaQ8BBBBAAAEEGqGA1VzckRdhkSNoH5uxGqDFhkVz50qdO/vIUPo+ERbVmBIWlX5sUSMCSQsQFiUtTP0IIIAAAggggICs5uKO/AiLHEH72IzVAC0UFjVpkn7J99wjDRvmI0Pp+0RYRFhU+lFFjQi4ESAscuNMKwgggAACCCDQqAWs5uKO5AiLHEH72IzVAC0UFu22mzR7duqy775bOuUUHxlK3yfCIsKi0o8qakTAjQBhkRtnWkEAAQQQQACBRi1gNRd3JEdY5Ajax2asBmihsGjMmPRwiLAofQiwZ5GPXwn6hAAChEWMAQQQQAABBBBAIHEBq7l44r2raYCwyBG0j81YDVDCoty3lJVFNTbsWeTj154+IZBfgLCIEYIAAggggAACCCQuYDUXT7x3hEWOiP1txmqAEhYRFvXqperqavXs2VNVVVX1PQiL/P3y0zMEcgkQFjE2EEAAAQQQQACBxAWs5uKJ946wyBGxv81YDVDCouhh0Z//LE2bJplNvmsPHkPz94tBzxBozALFhEXXXy/99rf1tVaskFq0aMyKXDsCCCCAAAIIIJBXwGou7siWx9AcQfvYjNUAJSyKHhbNnSt17iztuqv0xhs15QiLfPxK0CcEECgmLPrXv6Sdd5Z++CHdzQRI112HJQIIIIAAAggggEAOAau5uCNVwiJH0D42YzVACYsIi3gMzcevNX1CwE6gmLDItPTee9L226e3ufnm0n/+Y9cPSiOAAAIIIIAAAhUsYDUXd+RCWOQI2sdmrAYoYRFhUaGw6MILpWuvTXfabz/pued8/DrQJwQQMAL9+0tPPZWyWLBA2nLL3DbmkbP110//3DyCZn7OgQACCCCAAAIIIJBVwGou7siUsMgRtI/NWA1QwiLCokJh0aRJ0qBBhEU+fvnpEwLZBFavlpo2Tf+EsIixggACCCCAAAIIlFzAai5e8t5kr5CwyBG0j81YDVDCIr/DItO7mTOl7t3tht7pp0t33JGqo06dvQqFRWbiefnl0pVXpsqzssjuflAagSQFPvhA2nbb9BY++0xq1y53q6wsSvKOUDcCCCCAAAIIVKiA1VzckQlhkSNoH5uxGqCERf6HRa1aSWZVwMYbxx9+NmGRafWbb6QNNiAsin8HKImAO4G33qrZsLruYULffAdhkbv7Q0sIIIAAAgggUDECVnNxRwqERY6gfWzGaoASFvkXFjVpUr9P//iH1Ldv/OFHWBTfjpIIlJtAZlh05JHSX/9KWFRu95H+IoAAAggggID3AlZzcUdXR1jkCNrHZqwGKGFReYRFzz4r7b9//OFHWBTfjpIIlJtAZlg0dKg0bhxhUbndR/qLAAIIIIAAAt4LWM3FHV0dYZEjaB+bsRqghEWERYX2LDJCPIbm41efPiGQXYCwiJGBAAIIIIAAAgg4EbCaizvpoURY5Ajax2asBihhkV1YZErn2wvkxBOl8eNTbbz9tvTjH+cfRtkeQ2NlkY9fPfqEgJ8ChEV+3hd6hQACCCCAAAIVJ2A1F3ekQVjkCNrHZqwGKGGRfVg0e7bUtWv2egiLfPzK0CcEKluAsKiy7y9XhwACCCCAAALeCFjNxR1dBWGRI2gfm7EaoIRFxYdFm24qLV6cKnfjjdI55xAW+fjloE8INEYBwqLGeNe5ZgQQQAABBBBoAAGrubij/hIWOYL2sRmrAUpYVHxYNHBg+puFrr9euuACv8OiX/5SuuuuVB9nzpS6dw9/3Ys9i3z8WtMnBOILEBbFt3NUctmyZVqyZIlWrVpVr8WtttrKUS9oBgEEEEAAAQRsBazm4raNRyxPWBQRqhJPsxqghEXFh0WTJkmDBqXK5QuLMvcfaog9ixYulDp2TL9OwqJK/K2Aa0KgRoCwyNuRMGHCBF199dV69913c/bR/D+dAwEEEEAAAQTKQ8BqLu7oEgmLHEH72IzVACUsSi4s+u9/pY02Sq/fTBB22CH/MCr1BtejRkmXXJLe5quvSrvtFv6MlUU+fqvpEwIWAoRFFnjJFZ04caIGDx6sHXfcUX369NGdd96pY489Nlxd9Oijj2qnnXbSYYcdpssuuyy5TlAzAggggAACCJRUwGouXtKe5K6MsGiNzfLlyzVjxgy99tprmh1sPGz+ef/994MXVq3WicFmw/fee2/BW2KWh990002aFKwgqS3buXNnDQwePzr33HPVqlWrvHXYli/YwYwTrAYoYVFyYdH8+dLWW6fX/913UrNmbsMis5/SzTentxl8T9SyJWFRsV82zkegHAQIi7y8S3vttZe+C/4f8M9//lNff/212rVrp2eDN13ut99+eu+997T33nuHAdKguitXvbwSOoUAAggggAACtQJWc3FHjIRFa6CnT5+uvn37ZmWPEhYtWLAgLD9v3rywjhYtWoT/XrlyZfhvExpNmzYteKon47GeNS3alo8zXqwGKGFRbvIhQ6SHHkp9PneuGQAKUsRoj6FlhkVmRVGeRw/WNlTqlUWZYdFtt0lnnrm2uVgri0zp4HsQ/PV4nCFLGQQQSFKAsChJ3dh1m79ouvLKK3Xeeefpyy+/1KbByxKmTp2qAw88MKzz4osv1tNPP61XzcpPDgQQQAABBBAoCwGrubijKyQsWgNtwqKjjjoqeJN5V3Xr1i385/pgT5k333yz4Moic6O7B5v+zpkzR+3bt9e4cePUr1+/sGbzB7hhw4Zp0aJFYd2zZs3SOuusk3Z7bcvHHStWA5SwKDd7qcMiszG2CZoKHUmHRdXVUo8ea3sROywyQernn0utWxe6Ij5HAAGXAoRFLrUjt7VR8FjyDTfcoFNPPVXffvttsLizpR544AENMf+vCY4xY8bo7LPPllmdzIEAAggggAAC5SFgNRd3dImERWugzc3KDHF69uypF154oWBYZMKh4cOHhzWZR9nMJLruUVVVpX333Tf8kTl36NChaZ/blo87VqwGKGFRbnbCopTNN99IG2xQ3yoITbX77nGHLuUQQCAJAcKiJFSt69x1113Dv4AaPXp0WFenTp3Uu3fvtY/HH3/88Xr++edlVihzIIAAAggggEB5CFjNxR1dImFRHuioYZH5Q5sJicy/zQqlbIcJi0xoZDanNI+j1T1sy8cdK1YDlLCIsCgIRauD1Ubme2LGdtaDsCju15NyCLgXICxybx6hxXOCR4KffPJJ/fvf/w7PvvTSSzUqeAGB+fOE2VfR/PnjzOAR4VtuuSVCbZyCAAIIIIAAAj4IWM3FHV0AYZFlWLRixYrgaZrW4VtJzN/6jRgxImuN5rORI0eGq5eWLl0aLiM3h215m3FiNUAJi/wLi8xKnWCD9rQj2ARV++8fb5hk7llUqsfQTG9YWRTvnlAKgSQF4oRFpj/Bhsvho6W1h3ljIvvnlOxOffLJJ3rjjTfCcKh58+b64YcfwsfOHnzwwfDPFEceeWT4co1CL9EoWYeoCAEEEEAAAQSsBazm4tatR6uAsCiPU5SVRebtabuveZzG/M3foYcemrVG89mAAQPCz0wZsydS7X/blC90m80gzHWYz8wfPM1h/vCZ+Rhe3roJi3Lz2D6G9tFH0jbbpOqPumdR8FYcbb99er8Iiwp9RfgcAQRqBeKGRSZIrvv4tdl4+ZlncEUAAQQQQAABBBDIIUBYVOZDI0pY9MQTT+jwww8Pr/T111/XT37yk6xXbT4zG1ybY8qUKerfv3/437blCxE3ybbpcZZChEWFJIv43DYsCh4v0CWXFB8WmRIXXihde22qLGFRETeOUxFo5AJxw6KvvpI23jiFR1jkdCBNnDhR999/vx5//HGn7dIYAggggAACCMQXICyKb+dFyShh0YQJE3TccceF/X0vWNmx3XbbZe27+Wz7Nas+TJnat5jYli8ERVhUSCiBz23DIrNZerAR+trj4IOlv/0tWkcJi6I5cRYCCNQXICwqy1Fx9dVXh/sY5VtJXJYXRqcRQAABBBCoYAHCojK/uUmFRWafgcGDB4c6ccKiuuULEfMYWiGhEn8ebDaq4M01evPNVMVz50qdO0uTJkmDBqV+fv310gUX1O9A8Hpk/elPqZ+PHy+dcEK0jpYyLPrNbxTsmJpqlz2Lot0DzkKgXAUIi8ryzhEWleVto9MIIIAAAo1cgLCozAdAlLDI9jEy2/I2xFYDlD2LstMPHSrdd1/6Z7Zh0ezZCp5hjHarSxkWZT7CSFgU7R5wFgLlKkBYVJZ3jrCoLG8bnUYAAQQQaOQCVnNxR3ZscJ0HOkpYVHeD66eeekqHHHJI1hqjbHAdp7zNOLEaoIRF9ekz9+2oPaMcw6Lvv5fWWy/9Gl9+Wdprr7U/6xVsaFsdBEjme1JVVZV9KH7zjbTBBvU/421oNl9dyiKQjABhUTKuCddKWJQwMNUjgAACCCCQgIDVXDyB/mSrkrDIMixasWKFWrdurVWrVmn06NEaMWJE1hrNZyNHjgzfOLZ06VK1bNkyPM+2vM04sRqghEX16RculDp2rP/zcgyLli1TMLDTr2X5cgUDl7DI5ktHWQR8FiAs8vnu5OwbYVFZ3jY6jQACCCDQyAWs5uKO7AiLLMMiU7x3796aMWNG+O/p06dnrbH2nD59+mjatGlp59iWjztWrAYoYVHjCotMCDZ/fto1s7Io7jePcgh4KGDC4L33Tt9vzTxWW3ez/Vzd5m1oJb+hf/zjHyPX+bfgBQhm9TIbXEcm40QEEEAAAQQaXMBqLu6o94RFJQiLxgV/mB5u3mAVHOaxnB49eqTV+sILL4SP6pjDnDvU/AG8zmFbPu5YsRqghEWNKywKQs4g5Uy7ZsKiuN88yiHgocA110gXXZTeMcKiBrtRTZs2Lapt8+ZTwqKiyDgZAQQQQACBBhWwmos76jlhUR3oJUuWpP1ha8CAAXrllVfCN5fddttta89s1qyZNtpoo7W/Nje6e/fumjNnjjp06BAGQgeb150Hx9SpUzVs2DB9+umnwR7FXTUr2KvFPIpW97AtH3esWA1QwiLCIps9i8aMkU46Ke7QpRwCCJRawATCzz9PWFRq15j1PZ95LyLUY1YpcyCAAAIIIIBAeQhYzcUdXSJhUR3obbbZRh999FFB+myPmy1YsEB9+/bVvHnzwvJ19yQyv+4cvDrdPH7WMdueNsHntuULdjrLCVYDlLCIsMgmLNpvP+m55+IMW8oggEASAmb1a7AKNu2YOVPB34QUbo3H0AobcQYCCCCAAAIIIFBHwGou7kiSsKhEYZGpZlmwKfCNN96oyZMnrw2Ntt12Ww0cOFDnnXeeWrVqlfe22pYvdsxYDVDCIsIim7DoiCOkRx4pdshyPgIIJCWQLSyq3Zy/UJuERYWE+BwBBBBAAAEEEEgTsJqLO7IkLHIE7WMzVgOUsIiwiLDIx681fUIgngBhUTw3SiGAAAIIIIAAAjEErObiMdqLU4SwKI5ahZSxGqCERYRFhEUV8jsBl4FAIEBY1GDDoPYFGcV0wGxoPXbs2GKKcC4CCCCAAAIIeCRgNRd3dB2ERY6gfWzGaoASFkUPi77+WtpwQ2nSJGnQoFS566+XLrigfj3BJCDtmD1bwe7o0YbQhRdK116bOvfZZ6X9949Wtu5ZwSOVat069ZNSvw3N1Lx6dfH9ogQCCCQjcOSR0qOPptdd+3tXoRZ5DK2QUN7PzZvPTPizOsfvieazuoc5j7efWZFTGAEEEEAAgQYXsJqLO+o9YZEjaB+bsRqghEX1b+nChQp2MK//89oJQGZYdN110m9/m37+ypVmd/T0n1VqWPTZZ1K7dj5+NegTAo1PYOhQ6b77Utdtfh282TPSQVgUiSnXSUMD68xAqO65XwehnXmT6sLg/zGbbLKJzJtazWHevMqBAAIIIIAAAuUpYDUXd3TJhEWOoH1sxmqAEhZFC4tuuEE6//yaczPDIvOzzL9JNgFKhw7pdZtVPuuvH20IldPKojfflHbeOdp1cRYCCCQrkBkWvfWWtNNO0dokLIrmZHGWWU1077336le/+pVOO+003XLLLRa1URQBBBBAAAEEGlrAai7uqPOERY6gfWzGaoASFkULi777TmrWrObcJ56QDj88vVyhsGijjSQzEYt6EBZFleI8BBCoK0BYVBbj4aabbgr+/uF8TZw4MXzTKgcCCCCAAAIIlKeA1Vzc0SUTFjmC9rEZqwFKWFQ4LDrqKGny5NR5ixdLm26a+vUGG0j//W96PZkri8zjBiZkinoQFkWV4jwEECAsKrsxsHTpUm288cbqFbxgYNq0aWXXfzqMAAIIIIAAAjUCVnNxR4iERY6gfWzGaoASFhUfFpkSJiD65puasoRFPIbm428M9KlxCrCyqGzue9u2bcPNsJcsWVI2faajCCCAAAIIIJAuYDUXd4RJWOQI2sdmrAYoYVG8sGjHHaV//YuwyAiwZ5GPvy3Qp8YqQFhUFnf+yy+/DBaobhpsY7d+8PcOa/7ioSx6TicRQAABBBBAoK6A1VzcESVhkSNoH5uxGqCERYRFwWMQ1dXV6tmzp6qqqrIPcTOZMSuosh2ERT7+tkCfGqsAYVFZ3PlTTz1VY8aMUbdu3fTqq6+WRZ/pJAIIIIAAAgjUF7CaizsCJSxyBO1jM1YDlLDIPiwyNWS+6azUexY984x04IHFDz/Tr9atU+X69FGwQUZaPWbPDMKi4mkpgYCXAoRFbm7LggUKXmtW05Yx79hR48ePz9v2ypUrtSAo98gjj+idd94JzzVvQzvzzDPd9JlWEEAAAQQQQKDkAlZz8ZL3JnuFhEWOoH1sxmqAEhbVv6ULF4Z/8F97ZG5wbT6o+xia+fVxx0n3358qU+qwaP/9pWefLX74ERYVb0YJBMpZgLAo+bu3apW0ww7S3Lk1bW23XfhYctN111WTJk0Ktm/2KTLHL37xC40bNy5SmYKVcgICCCCAAAIINIiA1VzcUY8JixxB+9iM1QAlLKp/S6OERXvtJf3zn6my7dtLn35aurDoyiulyy5L1bfHHuntRR2IhEVRpTgPgcoQICxK/j5++KHUqVN6Ox98oG2ClZv5wqJ1gzDJvAFt11131ZAhQ7Tffvsl31daQAABBBBAAIFEBazm4on2LFU5YZEjaB+bsRqghEXxwqIJE2pWE9UewUal+vzz0oVFb78tdemSqq93b2n69OKHH2FR8WaUQKCcBQiLkr978+bVrCaqe5hVRp07J982LSCAAAIIIICAVwJWc3FHV0JY5Ajax2asBihhUbywyJRq1UpavrymfKnDIlOvqb/2ICzy8atHnxDwT4CwKPl7QliUvDEtIIAAAgggUCYCVnNxR9dIWOQI2sdmrAYoYVH8sMg8hmAeRyAsknbe2cevBn1CoPEJEBYlf89LEBZ9Gjy2fG+wQbbZs+hfwX5HHAgggAACCCBQngJWc3FHl0xY5Ajax2asBihhEWERb0Pz8WtNnxCIJ0BYFM+tmFIxw6JVwcbYTz31lMaMGRP+2/y/2xy1/y6mC5yLAAIIIIAAAn4IWM3FHV0CYZEjaB+bsRqghEWERYRFPn6t6RMC8QQIi+K5RSk1e7Y0apT01lvh28/Sjjx7Fr3//vsaO3as7rvvPn3yySdhMfNGtPXWW08HHXSQHn/88Sitcw4CCCCAAAIIeChgNRd3dD2ERY6gfWzGaoASFhEWERb5+LWmTwjEEyAsiudWqJR53f0220jz52c/MyMs+u677zR58uRwFdHzzz8fhkPmn2bNmmn//ffXMcccoyOOOEIbbbRRoZb5HAEEEEAAAQQ8FrCaizu6LsIiR9A+NmM1QAmL6t/S886Tbrwx9fOjjlLwp/765zWmPYvM4xLBK5+1dGl9hzffZM8iH39joE+NU4CwKJn7/t//Kkh2cte9Jix64403woDogQce0FdffRUGRLVHkyZNtHDhQm222WbJ9JFaEUAAAQQQQMC5gNVc3FFvCYscQfvYjNUAJSxKv6Xffiu1aJH+s732kl5+uXGHRebqg0coZIK0xYvTLQiLfPxtgT41VgHComTufJ6wyEToE666SmODx8leffXVsH0TEnXo0EHHHXechgb3ZJdddpEJi5YGgfv666+fTB+pFQEEEEAAAQScC1jNxR31lrDIEbSPzVgNUMKi9Fv6+edSu3bpPzMriII9J+odjWllUe3Fm78lHzasJjiqPQiLfPxtgT41VgHComTufJaw6IWgpTHBP5OCf5Y3bRoGRM2bN9dhhx0WBkT9+vVT0+Dn5jD/JixK5tZQKwIIIIAAAg0pYDUXd9RxwiJH0D42YzVAiw2LNtmkJjjZcEMfKez7lC0sOuAA6e9/JyyqFRg+XMH7ngmL7EcbNSBQegHCotKbmhqzhEUmBmoS/GMeNNtz11114mmnaciQIWrTpk29PhAWJXNbqBUBBBBAAIGGFrCaizvqPGGRI2gfm7EaoMWGRQbghBOk8eN9pLDvU7awyOxXZPYtyjwa48oiY0BYZD/OqAGBpAQIi5KRzRMW/Tpo8fLgTWkbde2as23ComRuC7UigAACCCDQ0AJWc3FHnScscgTtYzNWAzROWGQQ6mza6aNJ7D5lhkXmkbTPPsteXceOCnYrTX324ovSPvvU/NqUCfarWHsMGCA98UT0bi1fLrVqlTq/d29p+vTo5WvPDDZZ1fHH562nV5S3odVtmbCo+PtACQRcCRAWJSOdJSwy64eCba/D1UXNg39+tvnm+sXNN6vf0UeHj5zVPQiLkrkt1IoAAggggEBDC1jNxR11nrDIEbSPzVgNUMKi9FuaGRb17y9NmZL9tmdMBlR3I2wfwiIT6JnHBb/5JtX/LbZID7iCTwiLfPxW0ycEYgoQFsWEK1AsS1i0MigyMfjH7FtUvaa4CYk6BG87Oz4I6X/xi1+oS5cu4SeERcncFmpFAAEEEECgoQWs5uKOOk9Y5Ajax2asBihhUenCIlNT7YorH8KiH36QmjWrP2QzVoURFvn4raZPCMQUICyKCVd8WFS3xHtrQqPxwds0Pwveqlm7smi33XYLQ6Ozzz6bDa6TuTPUigACCCCAQIMKWM3FHfWcsMgRtI/NWA1QwiLCIh5D8/FrTZ8QiCdAWBTPrVCpLCuLshX5v2OP1ePBY2hjxozRM888I/P/ZxMcmTelmX+PD/b7OyrYA69ly5aFWuRzBBBAAAEEECgDAau5uKPrIyxyBO1jM1YDlLCIsIiwyMevNX1CIJ4AYVE8t0KlIoZFOuss6dZbw9o+/vhj3XPPPcHLI8fpgw8+CH9mAiMTFPUPHnH++c9/Hv67RbAaiQMBBBBAAAEEylPAai7u6JIJixxB+9iM1QAlLEq/pQsWSFttlfpZMXsWmVJJPYZm6l60SPqf/4k+BHkMLboVZyJQKQKERcncyRhhUd2OPPfcc/rTn/6kxx57TN/WeUytdevW+vrrr5PpM7UigAACCCCAQOICVnPxxHtX0wBhkSNoH5uxGqCERem39JJLpFGj/AyLTj9d+sMfog9BwqLoVpyJQKUIEBYlcyctw6LaTi1ZsiR8FM2sOHrzzTfDlUbm/+EcCCCAAAIIIFCeAlZzcUeXTFjkCNrHZqwGaKGwKPjbUB1wQP3Lztgk2UeXWH0yjxDcfnuqaI8ewWtuat9zk1Fj5tvQzMdJrizaeGPpyy+jXxZhUXQrzkSgUgQIi5K5kyUKi+p27pVXXglDo7vuuiuZPlMrAggggAACCCQuYDUXT7x3NQ0QFjmC9rEZqwFaKCxatUpaZ53GExb9+tfSbbelrjd4ZECHH579trsOi0wvrrtO2msvqU+fwkORsKiwEWcgUGkChEXJ3NEEwqJkOkqtCCCAAAIIIOBSwGou7qijhEWOoH1sxmqAFgqLzAUPHiw9/HD6pVfqyqLMsOill6S99y4+LJowQTruuFS5AQOkJ56IPnyWL5datcp9/uRxlOXLAAAgAElEQVTJCl6pk78+wqLo3pyJQKUIEBYlcycJi5JxpVYEEEAAAQTKXMBqLu7o2gmLHEH72IzVAI0SFi1dKm24YerSt9tOeu89Hyns+1SKsMjsP7Huuul9Cd44phkzovevUFh02GHS448TFkUX5UwEGofAj34kzZ2buta33pJ22inatX/1lWQed609DjxQwfvfo5Wt5LPM/yfPOUd69tnCV1nnbWiFT+YMBBBAAAEEECh3Aau5uKOLJyxyBO1jM1YDNEpYZC7aTCDMRMIchEU1DrkeQ7v7bum009KHyhVXSJdeGn34FAqLuneXZs7MXx8ri6J7cyYClSCQ7TtPWGR/Z3feWTKOUQ7CoihKnIMAAggggEDFCFjNxR0pEBY5gvaxGasBSliUfkttVxYFr0bWKafUHyYvv1yz11DUo5zCoiOPlP7616hXxnkIIJCUwIIF0lZbpde+eLHUtm20FllZlN0p218M5BIlLIo21jgLAQQQQACBChGwmos7MiAscgTtYzNWA5SwKHVLv/tO6tIl/RGOYvcs2mgj6euvKzssGjiwfjhk3tJW9/EVH78o9AmBShfIFhYVs78cYRFhUaV/R7g+BBBAAAEESixgNRcvcV9yVUdY5Ajax2asBihhUeqWmg2pzcbUdY9iw6JcA6SSVhb17StNn55+pf/+t2T2SuFAAIGGE8gMi8wm+GYz/KgHYRFhUdSxwnkIIIAAAgggEApYzcUdGRIWOYL2sRmrAUpYVHNLc+3vU6qwaM4cadddow8fs8qpefPc50fZs+iDD6Rtt02vw/TB9KXO0SvYfLu6ulo9e/ZUVVVV4T4SFhU24gwEGkKAsCgZdR5DS8aVWhFAAAEEEKgAAau5uKPrJyxyBO1jM1YDlLCo5pZ++63UokX921uKsMisuHn77fpvSCs0mA44QHruuexnRQmL9thDmjUrvfy4cZJ5tTZhUSF9Pkeg/AQIi5K5Z4RFybhSKwIIIIAAAhUgYDUXd3T9hEWOoH1sxmqANmRYtHSpdOyx0t//XrNX0MMP17xprSGOJMOiJUukNm2Kv6pPP5U22yx+WJTrbW0ZNbKyqPhbQwkEvBQwqwa7dUt1jcfQSnObCItK40gtCCCAAAIIVKCA1VzckQdhkSNoH5uxGqClCIsWLap5tGmXXXKHG9ngbrtNMm8fqz2OP176858bhjjJsKiYDWbrXr0JmXK9xSjKyiKXYdE770g77tgw945WEUCgRuD006U77khpFPumwsw9i1q3lszm9c2aNW5hwqLGff+5egQQQAABBPIIWM3FHckSFjmC9rEZqwFqGxaZx5x695bMq97NHjvPPCPtu280pjPPlP7wh9S566xTs3dQQxyERXZ7FnXtKs2e3RB3jjYRQKBW4LTTpLvvTnkcdpj0+OPRfTLDIlPywAOlqVOlYgKT6C2Wx5nFXPtZZ0m33loe10UvEUAAAQQQQMBawGoubt16tAoIi6I5VeRZVgM0TlhkFFeurAmHTjlFGjMm5Wpeqz5pUjTnzLDIlIq7Cidai7nPIiyyC4uM7BdfSJtsYnsnKI8AAnEFMsOiYON69egRvbZsYZEpPXeu1Llz9Hoq7cxiwiJz7VOmSP37V5oC14MAAggggAACWQSs5uKORAmLHEH72IzVAI0aFmX+Ybn2b08zN2HeYQfp3XejMREW5Xcqp8fQzJV89JG01VbR7j1nIYBA6QUyw6LXXkvfw6hQi7nCIlPvnXcWKl25nxcbFhmJZ5+V9t+/ck24MgQQQAABBBAIBazm4o4MCYscQfvYjNUAjRsWGQizCqjSw6J8e/FEnUDEXS1FWOTj140+IeCvQFJh0YAB0hNP+HvdSfXs//5PuuAC6aabim/hd7+Trrmm+HKUQAABBBBAAIGyErCaizu6UsIiR9A+NmM1QAmLam5prsfQVq3KvVcHYVH614GVRT7+9kCfGpNAUmFRMY8XV5L35MnS0UfHu6Lzz5duuCFeWUohgAACCCCAQNkIWM3FHV0lYZEjaB+bsRqghEW5w6J115W+/z73LScsIizy8TcE+tR4BWzDIhOOmxcNZB6NNSwyYc+IEfHGE2FRPDdKIYAAAgggUGYCVnNxR9dKWOQI2sdmrAYoYVHusMi8Lvq77yonLDKbT5tNqDOOXr16qTrYCLdnz56qqqoqPMT79pWmT69/HiuLCttxBgJJCtiGRaZvG24oLV2a3kvCouLvGmFR8WaUQAABBBBAoAwFrObijq6XsMgRtI/NWA1QwqLGExZddJE0ahRhkY9fYvqEQCkEShEW/fzn0l/+QlhkBFhZVIpRSR0IIIAAAghUtIDVXNyRDGGRI2gfm7EaoD6HRY88It12m7T++tIVV0i7754cf7Y9iwqtLNpsM+nTTwv3qaE2uDaPk5jHSmoP80idebQu42BlUeFbyBkIlIXALrtI5vf02qPYt6GZcoRFKT/CorIY9nQSAQQQQACBhhSwmos76jhhkSNoH5uxGqC+hkXvvy917pzi7tRJmjcv92bTtjcmTlh0++3SWWcVbtmHsMgEbbNmZe0rYVHhW8gZCHgvkG2/IcIiu9tGWGTnR2kEEEAAAQQagYDVXNyRD2GRI2gfm7EaoD6GReeem/1VxcuXSy1bJnML/vMfacst0+sutLLInB1lk2vComTuGbUigEBKYNEiqX37dBGz8jHzZ4XMrr1WuvDC9LPYs6iQWv3P2bOoeDNKIIAAAgggUIYCVnNxR9dLWOQI2sdmrAaob2GRCW222CI7c5Jh0e9/L11wQfFh0eabS598kn9YEBb5+LWhTwhUlsD8+dLWW6dfU5zfe778UurRQ3r33VRdhEXFjxXCouLNKIEAAggggEAZCljNxR1dL2GRI2gfm7EaoFHDooMPlp55JnX5660nmUe3DjhAeu651M932CF9kpEP7MwzpT/8If2MOXOkrl3dh0UXXyxdfTVhEW9D8/ErTp8QKCxgAp4XX0ydZ37P/tvfCpfLdkZm8ERYVLwjYVHxZpRAAAEEEECgDAWs5uKOrpewyBG0j81YDdCoYdFnn0kdOqQuv0uXmo1USx0WmX11uncvn7AocxPpbD2P87f7pp5ly6TWrbNbGKOZM/MPx7p9K+WeRccfLz3wQP22P/hA2mYbH78i9AmByhYwqy5btUq/RrNCc+HCeNdNWFTjZrNn0dFH13+rXLy7QSkEEEAAAQQQ8FjAai7u6LoIixxB+9iM1QCNGhaZCzdvJVuxooYgqbDo2GOlCROyMyf5GFrclUWbbCKZxzbyHXHDIlNnrj2RGjIsmjZN2m+/+ldsDK+6ysevCH1CoLIFvv5aatMm/RrN701ffBHvugmLatxswiJT3ub3/nh3jlIIIIAAAggg4FjAai7uqK+ERY6gfWzGaoD6FhYdcYT06KPlExb98Y/SGWckFxYddpg0ZUr9+hsyLDK92X9/6R//SO/X8OHS2LE+fkXoEwKVLUBYlMz9JSxKxpVaEUAAAQQQqCABq7m4IwfCIkfQPjZjNUB9C4vM0v1Jk8onLLrjDun005MLi4zH5Mn+hUXz5knbbZfer1NOke6+28evCH1CoLIFCIuSub+ERcm4UisCCCCAAAIVJGA1F3fkQFjkCNrHZqwGKGFRzS2N+xhaYw2LjJnZjLxbt9RXgrDIx98e6FNjECAsSuYuExYl40qtCCCAAAIIVJCA1VzckQNhkSNoH5uxGqBxwyIDcc450vjx0uLFKRbbt6HlA/Zxz6LGHBa9/nr6m+sIi3z87YE+NQYBwqJk7jJhUTKu1IoAAggggEAFCVjNxR05EBY5gvaxGasBahMWZcMgLKqvYrPJqa+PoZmrJCzy8bcD+tQYBQiLkrnrecKie4IW5wf/bBX8E+zWlv2w+b0/mSuiVgQQQAABBBAosYDVXLzEfclVHWGRI2gfm7EaoIRFNbc07mNoDz0kDRmSf1jYTBjKKSwyCt98U/8V3j5+aegTApUkQFiUzN3MExb1ClqsDv7pGfxTRViUjD+1IoAAAgggUAYCVnNxR9dHWOQI2sdmrAYoYZFdWGQmab1716yySWLCUG5h0f/+r3TuuT5+TegTApUrQFiUzL0lLErGlVoRQAABBBCoIAGrubgjB8IiR9A+NmM1QEsdFh10kDR1ajSmM8+U/vCHaOeas3zcs8j0a9UqaZ113IZFRxwhPfJIfjvTJ9M3c+y+uzRrVtbze/XqperqavXs2VNVVTn/jrx+2czH0MwZgwZJEydGv6eciQAC9gKERfaG2Wro2FFauDD775vBT1lZlAw7tSKAAAIIIFBOAlZzcUcXSljkCNrHZqwGaKnDomLCgoYOi954Q5oyRdpyS+ntt6XRo9Nvb7Nm0nffRbvlTZq4DYuOO066//7cbb72Wk1AVHsQFkW7j5yFQDkKJB0WtW4tLV1ajjJ2fc7z+3raY2gdOkh77SU99lh6ezaPINv1nNIIIIAAAggg4EjAai7uqI+ERSWAnj59uvr27VuwposuukijRo3Ked6yZct00003adKkSXr//fe1OvgDY+fOnTVw4MDgCZ1z1apVq4JtFHOC1QBtrGHR3LnST34irViRm7pcw6LMe2qukLComK8U5yJQXgJJh0VGw+zPdswx5eVi29sNN8wZkqWFReb/JWalpQmM/vnPVKuERbZ3gPIIIIAAAgh4L2A1F3d0dYRFJYCuGxa1b98+Z43nBK+M/+1vf5v18wULFoSB07x588LPW7RoEf575cqV4b9NaDRt2jR1NMvbS3RYDdBSh0Xmmn7zG+m666TmzfNfYUOuLBo7Vjr55Pz9K0VYtM8+0osvxr/TufYsMjWaR/4uu0z66U/T67/1Vunss9N/tsUWuR+n4DG0+PeHkgj4IJAtLOrXT3r66Xi9mx+852vrrdPLHnKI9NRT8eor11K5wqIgFOr1yiupx9AGD5YefLB+WHTNNdLIkVK+laflakO/EUAAAQQQQCAUsJqLOzIkLCoBdN2wyKwGKvYwA6V79+6aM2eOTNg0btw49TN/YA+Op4M/tA8bNkyLFi1S165dg+1jZgXb3OTZ56aIxq0GaBJhken7FVdIl16a/yqKDYuCFVtaf/0iZPKceued0q9+lb8uE/TlW3lUt3SuycCjj0o/+1n8PucLi0ytJtT8+GOpadNUG2aT6fPPT2/z5z+XHn44az/Ysyj+7aEkAl4IZAuL/v536YAD4nUvW1i0227Sq6/Gq69cS2ULi/bYI9xrr9fee6s62BOuZ/B7f1Ww51sY2meuLDLX/fjj0mGHlasA/UYAAQQQQACBAgJWc3FHuoRFJYC2DYtMODR8+PCwJzNmzJCZhNc9zObB++67b/gjc+7QoUNL0GvLNLOYsKjYvx299tqav1XNdRQbFu20k4GVNtnE3i1KWGTuT3CfIh25bGKEjmntFQqLzMmLF0tt26aKZQuLzGbYZlPsLEdJwyJTv+01RwLnJAQQWCuQGRbtvLP05pvxgQiLauxyhUXBo2ZhWBSsLuoZBERVL79cc362sMjshTdiRPx7QUkEEEAAAQQQ8FqAsMjr21O6ztmGRb2DV6ibkMj829SV7TBhkQmN+vTpEz6OVorDaoAmGRaZ1S7mDWa5HkcrNiwyWOa17CYMsT0KhUV77lmzR0enTtFayhYWmdcuZ67wiVZb6qxyDIu+/VZab71ir5TzEUAgrkBmWGRWFJmVRXGP4HFqbbVVeuk8+57Fbcb7cvnComyP7xIW2d9Ss5p38uSaf8w4Ni9zaNPGvl5qQAABBBBAICEBq7l4Qn3KrJaVRSWAtgmLVgR/wGkdvDFmVbAsfXTwN4kjcvxNovlsZLDaxjyCtjR4u0zLli2te241QJMMi8yVZa56qXu1ccIiU/7dd6UddrBzyxcWmaAo+Bvjoo5sYdETT0gDBhRVTb2TyzEsWrKEP9zb3XVKI1CcQKnDouD/Y8H/pNL7UMybLovrvb9nExa5vzdmBWzdt8r9+MeS+XNK3Uet3feKFhFAAAEEEMgpYDUXd+RKWFQC6Lph0U+D/Qf+X/AHFLMx9aabbhq8TGp3HXvssRoU/IE5215DrwWvKjfnmOPJJ5/UoYcemrVH5rMBawIEU6Zbt26Rem4GYa7DfNZ8zeqdH374obi9kMoxLAreNBduom1zVFJY1KOHdPzx0mmn1Wyk2tCPoREW2YxMyiJQvECpwyLTA7Pf2pFHpvoS/P9PDzxQfN/KuQRhkdu7Z14Eku0v0N56SzKPoXMggAACCCDgoQBhkYc3JYku1Q2LTP0bBn9Q/P7774M9jlOvV+8RTMz/+te/ql27dmldeCJYRXL44YeHP3s9eIXuT8yrdLMc5jOzwbU5pkyZov79+0e6lCYR9wtqFGFRob2QoohWUlhUe73mb2PNGCQsijICOAeByhFIIix67z1p++1TRoRFNRZmg2uzZxGPoZX++xOstg73ico8zMbqu+5af7Vb6XtAjQgggAACCBQtQFhUNFl5FjBvMbv//vt1dPDozy677KJWrVqFF/Ju8NjTzTffrLvuuiv8tXnj2cvBhpZ1VxhNmDAheLQ+eLY+ON4L/pC93XbbZUUwn22/5g/gpsyQIUMiYXkRFm25pfSf/0Tq79qTkngMrRRh0THHSBMnZr+WOI+hmf09zD4fdQ9Xj6HVtnnRRdKoUYRFxY1Qzkag/AUIi5K5h9lWFnXoIH3yCWFREuK5wiLTlvkLM7OK1uxllPGXdUl0hToRQAABBBCIKkBYFFWqws+7IdiwuHYvosy3mcUJix588EENHjw4kpoXj6GZDZ/No07ffKMg5Yr2SEKxYdE++0iLFknz5uV2KUVYlG+lVpywyARPJoAqdVhkxkeOV97XA7rwQunqqxs+LPrzn6V+/RQ8vxlpbHMSAghYChAWWQLmKJ4tLFoTyrOyKAHyfGFRbXOXXCJdeWUCjVMlAggggAAC8QQIi+K5VVwps3n1NttsEywgWRA+cvZYnU0Yk34MLR+m1QAtZs8i04lgTySZt12ZVVeF3ihmzi82LHrhBbPpk3TNNcmGRflWScUJi0xvMwOoUqwsMqvZfvnLaN8l12HRsmU1gZDZZyLzaNs2fFRDnTtH6ztnIYBAfAHCovh2+UpmC4sef1w67DBWFiUhHiUsMn8R8fTTSbROnQgggAACCMQSsJqLx2qx+EJscF28WawSZoPrSZMmqUuXLuEG2LVH3Q2un3rqKR1yyCFZ64+7wXW+zloN0GLDorodMcGR+Ru+q67K3b1sYZH52a23Zv/bwZkzazay/N3vas7JdtisLHrxRSlY0aXbb8/dZ5/CIrOx+brrRhurrsMi0yvzeu6DDsrev2Alns4/P1rfOQsBBOILEBbFt8tXkrAoGddctRIWufWmNQQQQACBkghYzcVL0oPClRAWFTYqyRm5wiKzCXbr1q1lVh+NHj167eNqmY2az0aOHBnud7Q0+INRy2xv/iiyp1YD1CYsqu3nCSco2Owpe6+zhUUHHyw980z2882qpfXWq/msTx/p+efrnxc3LDJ7Cv3oRzUro/IdPoVFpp8mjDGhTKGjIcKifP277DLp8ssL9ZrPEUDAVoCwyFYwe3nComRcc9VKWOTWm9YQQAABBEoiYDUXL0kPCldCWFTYyPoMEwR16tRJ8+fP14ABA2QePat79O7dWzNmzJD5t3mzWraj9pw+QRAybdo06z6ZCqwGaEOERbn2CzKvZTZv3Kk9Sh0WPfL/2zsLcMupqw2vYgMFOri7Q3FtscEp3sGtOC36Yy0UaClWrC3u7lKkQNFSfAZ3WpxBi01xhsJg/3kTMjc3N+dEdpKbnPut5+EZZk6y5d07sr+svdbfzNZfP5l53cSiPfc0O+GE5HYHYlHL+63l/tb7ePr+85/HlhEbeyO5tp4jFl3U7PHH+54hsSgLRR0rAvkJSCzKzy7uTO5nxOfD0zVq2oZWLOtwaRKLymOrkkVABERABEoj4LQWL61VvQuWWFQA6O+++64VdqaVcaONkRFtr7328n49++yzbfvtt+91JEGvt9tuO+/fhg0b1krc0crcEbLhrXg8yy67rPcv0QDZLs13mqBFiEWIEKH4Tb36EudZ1I7xHXeYrbhiz+ntxCK2vhHkMquRRaWV6S7R6iYWvfCC2dxzJzbbArEojm+ZYlHLW67lLte3fcyLU04xm2665LbrCBEQgfwEJBblZxd3Js9p4ufFWSexiGdHVGAiQyVBsWV9CXz1lbX28/vPiKmntpa7tRneXJ1MMYs0k0RABERABGpGwGktXlFfJBYVAHqeeeaxHXfc0Ys3NHdrcc5WMYx09yeddFIrzM3JhqC08MILt94HH26FkukdS4aJsvjii9sTTzxh07TS6yIIrc6Wq5bdeuuttu2229o777zjnf/II4+MKd+16U4TtAixKO4FOehUGWIRZZMxbcops6ErWyyad16z557radOzz5q15lQh9swz1gqU1bmoQCyadFKzjz7qfWyZYtG995otv3z7trWuHdttt0IwqBAREIEYArvuanbqqT0/rLSS2e23u6FqPfdsrrl6ysDrE+/PgWCdsmV2EosQPHg2RW3kSGWHjDLhGcUHNZ5tWOt9yTbYQGLRQLi+1EcREAER6DICTmvxilhILCoAdNirCCFo8ODBrURPX9gosj59b0svvbRd3RIdEIPijExpK7a8Y17+PvV7EJOImEbY7K3sUGw/m3HGGQtosV+E0wQtQiwimPctt8T3pyyx6JxzrOXGlY1h2WIR2b8I6MxLMFsYWMAVZWm8i+oqFpExjcWSTAREoHgCJBoYd9ze5RZxzUXFoiIEqOJ7X06JncQisnWuuWZ8NrR2GUIRQrbZppy2NrXUyy8322yznta3tvjbk09KLGrqeKrdIiACIjCACTitxSviJrGoANBsLbv//vvt0UcftXfffdc++OADz/sHYQiPoU022cSGDh1qY401VsfaEJeOPfZYT1QKRKPZZput9dFsA9tnn31aWedbaecLNKcJWoRYdNFFZlttVa1Y1OLb2hOYjWJasYh07y+9lK3sso9uslgEm5ZHnkwERKAEAq0PGq1MCb0LRjwaPdqtsqhYRGmtuH2tvdpu5Tbh7HZ9nHhiaz3UPa/W2FhvxDFcd92+PWxtYbc99mhCz6tr4xlnmO20U+/6PvlEYlF1I6CaREAEREAECiLgtBYvqA1JxUgsSiLUxb87TdAixCKEAAIqP/CAtVSy3qSjnkUc205sSxuziBrKFIvqKG6kEYta2fiMrXBxQVn7cxtaHXl28f1AXRtgBMoSi1pbpm3aaXvDbCV3aLnFdj/gOLGIuHF//avZggt6/ZdY5DgNJBY5AtTpIiACIiACdSHgtBavqBMSiyoCXcdqnCZoEWJRGArBJ1vxmcZYVCy64QazddaJx5hFLPrjH60VYdwPipnW0noW1VHcSCMWdeIgsSjtLNFxItAsAmWJRVCIiiYjRlgrJWiz+ORpbZxYhNcLnkXfm8SiPGBD50gscgSo00VABERABOpCwGktXlEnJBZVBLqO1ThN0KrFor/8xY/rE2dZxKLg/FVXNSPg6PjjJw/NQBaLWgHVbbHFYhnFLnqSafYckRTgmiO1DS0LUR0rAukJlCkWbbyx2ZVX9rTlttvMVlklfduaemScWBS5h8XeN1vJLWyRRfr2eqmlfM9bWQ+BOLGITKcHHdSZkrKhaRaJgAiIgAjUjIDTWryivkgsqgh0HatxmqB1Eotagb9thRV6EPP/d9+djPzmm814gexkZKjBEwnPpjRWN3EjLn5Imn5wzH77mR15ZNtYIxKL0oLUcSJQQwJlikVkp7rmmp5OE5vuggtqCKHgJuUVi3huzDdf76yYQdPq9kwpGFnm4uLEojSFSCxKQ0nHiIAIiIAIVEjAaS1eUTslFlUEuo7VOE3QOolF0S1racUiAmxvuWX7oSGbHWnnX3st/fDV7cU+LuNRmt7MOacZW9g6mMSiNCB1jAjUlECZYtGOO5q1Ej+MsW23NTv33JqCKLBZecUimvDKK2athBa9rIjsdAV2rxZFSSyqxTCoESIgAiIgAu4EnNbi7tWnKkFiUSpM3XmQ0wQtWywaNsxsmWV6wLfbhsbLOZl2wkYg0aefTh60dmLRl1+aHXKI2QknmH3+eXI54SPqJhbRNjIcIRplMYlFWWjpWBFoHoEyxaKnnjJbaKEeJmWLRW++aXbwwWYjR5ptvbXZ+uv3Hg+2ch13nJ8koZVZtJWmtJzxchGLaBFbqldeuadtEov6jlNesYiSvvmmfaKMcmaEShUBERABERCBtgSc1uIVcZVYVBHoOlbjNEGLFouWXLJ3Nq5JJjHDYyjIgNZOLFp6abPhw3vjZWFy/vnJyNuJRfvvb3bUUcnnxx1RR7GI7Q3PPputPxKLsvHS0SLQNAJlikXR50PZYtFKK5mxHRlDsOF+RxYybPRos6mmMvv4Y//vrfT19vbbZmOPXfyIuYpFtAjvIryMMIlFfcfIRSzCu425KBMBERABERCBGhBwWotX1H6JRRWBrmM1ThO0aLGI9O1s+wrbD3/oiz4bbWSWRSz65z/NCGCdZFGx6I03zH7+c7PHHks6M/73Ndc0u/HGfOeWeVYesWiWWXoWLG3apm1oZQ6ayhaBkglUKRbRlTKF9KhIc/nlZpts4gN8/nmzeebpDfPVV81mnrl4wEWLRbSQcRo0qPi2NrVEF7Foiy3MLr64qT1Xu0VABERABLqMgNNavCIWEosqAl3HapwmaBViEdCmndbsrbfMDjjAD7YctZ/8xOz++3v/a16xaK+9zI4/Pv9QPfxwedsb8rfKD5ya1bMoxeJOYpHLoOhcEehnAnFiER44777r3rDo84ES2dI7wQTuZceV0E1iEUJ9OE7etdearbdeOdyaWKqLWESWviuuaGKv1WYREAEREIEuJOC0Fq+Ih8SiikDXsRqnCVqVWAQ44iiMnpoAACAASURBVFHMMEM8wjnmMCPjV9jyikWkLiaFcR6rc7YfiUV5RlTniEB3E4gTi4jn8+c/u/f7f/8zwzM0bP/5j9l007mX3e1iUVT4Ou00s512KodbE0t1EYt22cXslFOa2Gu1WQREQAREoAsJOK3FK+Ihsagi0HWsxmmCVikWHXus2d57xyPkKyFfC/tbLIpmZKvTgJMy+NZbs7WIbQ8sJjuYs2fRgw+a4RnWycrcupKNiI4Wge4iECcWffaZ2YQTFtPPySYz+/DDnrK6XSyC3cQT92UXuYcl3jePOMLswAN7ypFY1Jupi1i0225mJ51UzPxWKSIgAiIgAiLgSMBpLe5Yd9rTJRalJdWFxzlN0CrFok7sb77ZDDEkbP3hWVRnUePqq8023DDbDGaxcvjh5YpFZJ0jCG14y0W0xjpzzUZUR4tAvQhExaLlljO7557i2jh0qBlbqALrdrFom23MLrjAXSwiCPP220ssajcTJRYVd42qJBEQAREQgX4l4LQWr6jlEosqAl3HapwmaNFiUXRhkRaYxKJ0pIYN87PNtfPQipaSIsVw4hfyNC175x2z667zvRlIZz3vvD1n4ZmAx5ZMBESgeALdLBZB64UXzMjqWFWA67jg1rQjq2eRxKLOc11iUfH3ApUoAiIgAiLQLwSc1uIVtVhiUUWg61iN0wQtWix66CGzpZbKjslFLDrvPDO+pr/3nv9Cv/nmnb1cOrWuKR4w7RY04b7NOKPZ668njkUhYlG0ltlnNxsxoudfm8I1kZYOEIGaEeh2sWj11c0OPti/ty+9dG/4ZWRDk1hUzQR3EYtWW83sqKPMJp3UjEDiMhEQAREQARHoRwJOa/GK2i2xqCLQdazGaYIWLRYBqJ0bfyd4LmJRkYPSFFEjjVgElxT9KUUsmnJKs//+t2dkFK+jyFmqskSgh0C3i0WdxlpiUXOvhCSxaIopej9D2vX0sMPMfve75nJQy0VABERABBpPwGktXlHvJRZVBLqO1ThN0DLEopEjzUjdnMXixKI77zRbaaUspbgfm0Jcca+kgBLSiEW/+Y3ZMcckVlaKWBRt3zTTmL39dmJbdIAIiEBGAhKLMgJLOLwsz6LjjzfbY49i29rk0pLEouWXTxd7a5xxzL76qskk1HYREAEREIGGE3Bai1fUd4lFFYGuYzVOE7QMsQhIacSMMMw4sejjj80mmaQ65HvuaXbccdXV51JTGr5nnmm2446JtVQiFtGKpghxicR0gAjUiIDEomIHI+7eSsp7vCNDlnjfjMYs0j2w9zgVJRaJa7HzX6WJgAiIgAhkJuC0Fs9cW74TJBbl49YVZzlN0DqLRYwOQU3nn9/s66/LHSteXLfd1mzcccutp6jS6y4WzTqrGVtEwiaxqKjRVzki0ENAYlGxsyHu3grjQYOyiUVXXWW20UY95wwebPbRR8W2tcmlSSxq8uip7SIgAiIgAiECTmvxikhKLKoIdB2rcZqgdReLAH7NNWYbbFAe+lNOMdtll/LKL6NkRK0kAa0/PYuiX9XHG8/syy/LIKEyRWBgE+gWsQgxeayxso1lVTGLYoTuRM8ihCECMIftf/8zG3/8bH3s1qMlFnXryKpfIiACIjDgCDitxSuiJbGoItB1rMZpgpYlFm26qdkVV6THFbcNLTi7LLHogQfMpp3WbKaZ0rezLkemCSLen2IRnMJf6OH81lt1oad2iED3EKhaLBo2zGyZZYrlN2qUGVnPhg/PVm6dxSJ6Eg30P8EEZldeabbWWtn62Y1HSyzqxlFVn0RABERgQBJwWotXRExiUUWg61iN0wQtSyx6+WWzOeZIj6s/xKImb4t67TWzLbc0Y/zabW3ob7FohhnM/vMffw5ILEp/LehIEchCoGyxCGHjppt6WrTzzmannpqlhcnH5v0gUHexaPrp+4rkiy9u9vDDyUy69QieuzzvN9vM7JNP2vcybYBrSmjys7xbx1n9EgEREIEBRMBpLV4RJ4lFFYGuYzVOE7QssQhQf/ub2frrp0MmsSgdp05HRWNtSCxyZ6oSRKDuBMoWi1jUX355D4WYYM/OiM46y+yXv8xeTBVi0YYb+t5AEUvchsbxcWLRQBc3Dj/c7Pe/Tx5riUXJjHSECIiACIhALQg4rcUr6oHEoopA17EapwlaF7Ho7rvNeDmMs7xfnZMGq9u+RtZZLGIsLrvMjO2JMhEQgeIIlC0WPfSQ2VJLDRyxaPbZzUaM6Onvhx/GZuWUWJRzCpPhlEynSSaxKImQfhcBERABEagJAae1eEV9kFhUEeg6VuM0QftLLCLg8ejRPs555zV79FEz4jlILMo/xeouFtGzp54yW2CB/H3UmSIgAr0JlC0WcW9m61Rg3e5ZFBaLJpvM7P33Y2ecxKKcF2KaTJ4ULbEoJ2CdJgIiIAIiUDUBp7V4RY2VWFQR6DpW4zRB+0ssOv10XyTiC+OQIWY/+lF7tPfdV3xAVWqTZ5HHPNWiJ8/ED8csCs6/+GKzLbbIU5rOEQERiCPwzjt+TLDAllvO7J57imMlsUhiUXGzqXfig3blrrmm2WefpZ/H66zjb5X84Q+LbKnKEgEREAEREIFUBJzW4qlqcD9IYpE7w8aW4DRB+0ssIkbFDjukY/7NN348C9Kx5zFeJP/+975nSizymEgsyjOpdI4I1IDAu+/6ceEQ1ANbeunsWcU6dWWgiUV4E7H1DJNnUfGTvJNnEb+RnfTqq80OOMDsH/9IXz9i0SabpD9eR4qACIiACIhAQQSc1uIFtSGpGIlFSYS6+HenCdoEsSgYO7atDR3aOzNPmnF98UWzp5/uG2y728Si9dYzu/76HiLEGlliiURCEosSEekAEagfgVde8beHffBB77bhsfnMM8W1t85i0aWX+lm1ijJEIgSiwCQWFUW2p5x2YtHZZ/sZPtmizjEnnGC2557p6z/uuGzHpy9ZR4qACIiACIhARwJOa/GK2Eosqgh0HatxmqBNEouAH91ykWZAEIuee84MD6OwdZtYhJcBWWbefNMPJL3VVmnolOdZRAwq4qmETdvQUo2JDhKBRAInn2y2++59D8MrI20WysRKWgfUWSzaemuz889P04t0x1xyiS9YpHhOpBLZlQ2tL/cf/zhezEQs2n77nuO//trsj3/0veQIsM7/d3pmSyxKN8d1lAiIgAiIQOEEnNbihbcmvkCJRRWBrmM1ThO0aWIRA3DiiWZ77JF+KAaKWJSeSK8jUy168pRNHKpPP+19psSiPCR1jgj0JXDMMWb77df332+91Wy11YojVmexiK3MbGkuyiaayGzUKIlFRfGMKyetWBQ9d9CgnqQYceVKLCpz1FS2CIiACIhABwJOa/GKyEosqgh0HatxmqADQSz673/NXnjBjFgegZG+N4hLUcdBrbBNpYlFp55qtuuuEosqHEtVNYAISCwym3BCPxByUTbHHGYvv9xT2nnnmW2zTWzpqe6b8izqyy6vWPTzn5tdd137kZZYVNRVoHJEQAREQAQyEnBai2esK+/hEovykuuC85wm6EAQi3Bdx6WdrRkEuh5nHLOTTjIjBbSsvG1oZ5zRl7E8izTjRKAYAt0gFr39thmxlx5+OH+8mSefNFtggXRZtpLIzzef2bPP9hz10UdmgwdLLErilub3994zw8uXbJivvdb3jOg2tOgRxOBjO1o7k1iUZhR0jAiIgAiIQAkEnNbiJbQnrkiJRRWBrmM1ThO0iWLRLbeYrbFGuqE46CCzQw7pOZaYR3yNnnjidOcPgKNSfSHPw+HOO81WWqn3mRKL8pDUOSLQl0DTxaIrr/SzVxURO26vvcyOPdZ9loTFItKwR7ekhWpIdd9ccUWzu+7q264i+uze2+pKuOkmMxIw8NGmnSWJRZzXKZOaxKLqxlM1iYAIiIAI9CLgtBaviKXEoopA17EapwnaRLGIF22CXRLMOcnYooA4JGtLINWiJw8/xoltGHgPBLboomZrr+1nMJpnnjyl6hwREAEI9JdYRN0jR5pNMUX+cfj2W7Oxx04+n62su+ySfBxHkC1z3HHTHRt3FEJG+PyELW6p7pt40sw1V9/aBppYNGSI2T33dB4bApUTsLyTzTyz2euvxx8hsSj/3NeZIiACIiACTgSc1uJONac/WWJRelZdd6TTBG2iWBSM4OGHdxaMZpop3t2962aAW4dSLXryVtEuGDkxo0aMMJt00rwl6zwRGNgE+lMsWmYZs2HD8vM/9FCzP/wh+fz33zebfPLk4zgCLyC8gfLa/vubHXVUz9lFiEWURlbKiy7qKRev1k8+ydvKZp7XySOIHo0/vhnvIrPP3rl/jA/jFGcSi5o5N9RqERABEegCAk5r8Yr6L7GoItB1rMZpgkosquOQVtqmfhGL6OE//2m28sqV9lWVdQkBhAHSxj/wgB/HhBhkZLIaSFaVWNTOO+bjj83IeJjFLrvM3y72yCPpzqpSLFp8cTMyvwU23XRm//lP23amvm/+7399RayB5lnUSSzCQ5jg1XidJhkeacwhPkIQwyhsEouS6Ol3ERABERCBkgg4rcVLalO0WIlFFYGuYzVOE7SbxaJZZvGDp8o6Eki96MnDsZ1nEWV1yDSUpyqdM4AIHHaYGfHIAiMuWfjvAwFFVWIRwsZYY/UlevzxZnvskZ40ws9UU5mx4E9rVYpFiyxi9sQTPS2D729+07alme6beBOFs7YRlHvBBdNSaP5x7cSivNns4gQ4REhiV8lEQAREQAREoGICTmvxitoqsagi0HWsxmmCNlkswrUfF/92xkKGBY2sI4FMi56sLEl1zFfjdkbsoksuKSaTUda26fjmElh2WbPhw3vaj3cRXkYDydqJRc89Zzb33MWSwIPo0097l4mQQhvSGt5ESyyR9mizVVYxu+KK6rahRcWiBO+fTPfNqFhy1VVmG2yQnkXTjyxaLILHhRf2jXHE9j4lr2j6bFH7RUAERKBxBJzW4hX1VmJRRaDrWI3TBC1TLOokFJx1ltkOO7jh/PJLs113Nfv7383mnNPfikIcIwJpLraY/zLJl2xZRwKZFj1ZWUaDxsadX8biNms7XY9nW9Q115h9/rkvjk09tWuJ2c8n5fc//mE222x+EPGkOCHZa6jPGT/5idmDD/a0h+s97dam+vTCrSVxYtGRR5rtt1/xY0+MMbadhW3ffc2OPjp9H7KIRUsuaXbOOWZsBasqZlFYLBpnHLOvviruvrnOOmY33NBTXlavrPSU63lku3tRCs5tO3TppWZbbNH7Zz48bL55PRmoVSIgAiIgAl1LwGktXhEViUUVga5jNU4TtEyx6M03zeaYwwxRJ2pFiEV1HIwGtqlUsQgecV4JYU733Wf20582kFyoyYgzN97o/wPbHxHABg2qrk8IRQgmbM/AEE0PPLC6+quuSWJR32xoZXqrVC0WBV49H3zQHWIRotpvf9v7KvnoI7PBg6u+cvqnvk7Cdd74TXFiEYGyg3tg//RUtYqACIiACAxAAk5r8Yp4SSyqCHQdq3GaoGWKRcBiq8gZZ/TOBsO/SyyqzVQqXSxK8nAJxCK8cw44wM+KwxYUPCTiYqVUQY7g28RbGm88v02dgq8ihrJICRteL3hHVGXR2FCTTWZGvJduNYlFEouic5uYQMTAyWtlehbFiUW33mq22mp5W9uc8267rX0/iTNGvLE8FicWUc7bb5tNM02eEnWOCIiACIiACOQi4LQWz1Vj9pMkFmVn1jVnOE3QssWigHJUMJBYVJv5V7pYNO64ZmxHa2eBWLTPPn6mpMCISbXllv7fCIqLKDPBBOVzIzbLlFP2eMRNP73ZG2+039rD1rPoIvXee82Iq1OV/fnPfYPx5v1iH20z23HgX6WnVBK3OLEIYXrssc3Y2jIQjC1nCJmB9YdnEW344ot0Keu5zpdZJt3I5PEsOvdcs223TVd+3FHzzut7BGIptkdlum/GiUVsn8YjsZuNrYt4pbUzElDgiZnH2olFbAP+29/ylKhzREAEREAERCAXAae1eK4as58ksSg7s645w2mCViUWEdg0HFOE+A1rrdU1Y9DkjmRa9OTpaLtAvEFZgVhEfKmRI3tq2Gkns9NOM7vlFrNf/ML3lFl/fT8gdpnCBemzSaMdNrZ5zTNPfO+7WSyCP4GMEYx2283sL3/JMwOKPycqFlEDoiTzAuHsV78qvs46lYjQsO66vVtUtVhEUPFXXzV77z2zNdc0++tf24tG0ex1nViSJYxsYViWbWhs80K8ymoIU7vsYnb66T1nSizKSjH+eDyn8CxqZy6CdjuxiLpcyi2m5ypFBERABERgABFwWotXxEliUUWg61iN0wStSiy6807fS4SFxYYbml1wgb/FR9bvBEoXi/70JzOC4baz88/3F/lkRgvbjjuanXmm2UILmT31VM8vN91ktsYafUt74QWzxx7zhR5iZSXZf/5jNmyY2Vxz+V+/2TrGQpWYF1GxqNNCtJNYhMjEwpeF9ayzJrUo/+9leBbhDUa8qXAMEBdPgPy96zlz9Gizu+/uvH3nhz/0gzF3q4dRu1T2VYtF0fH8v/8zGzLEbIUVzNgGGdiHH/b+e9I8IEj7qqv6R2URi/bf3+yII5JK7/v7ZZf1DYqMh1onb8hWKZnumwPRs+idd8ymnbbzeLiIOhKLss91nSECIiACIlAKAae1eCkt6luoxKKKQNexGqcJWpVYBDheDNNkx6oj5C5uU6ZFTx4Ot9/uxyDKaoFYFN3CGLfdhK/XCEjffON7mBBzaPnl29fIdhMEHFIth426fvc7MzwhwrbHHmZkMIqzOLFozz3NVlrJbL31/HmPGIbIQZ1lWBliEWyiAXjvv98Mr57+so02MkMUSTK2Ek40UdJRzfydGC8HH9y37S++mE4kzdPruADX7cqZaSazJ54wm3RS/whE3LnnTq6VbaZcu+HrnWsHkfW11/zz2YaKF1Cch1sesejKK8023ji+bQlCRqb75kAUixDJF164/bgjyD/8cPK8aHeExKL87HSmCIiACIhAoQSc1uKFtqR9YRKLKgJdx2qcJmiVYlEd4alN2b6Q5+VFjCoW+XgNpDVSwCP44HkUNhauQ4eabb2178mAsT0tHKcCLzZiHsUZKe432CBtK/zjomLRf//rBxhmQfTyy/5/YUMUmnhiX7QKG32h3UVbt4pF775rhmcaWxAZM1KQp7FuFosQTIgTFDUXL40kplnEIsq69lpfKMXSikXt2v/002aILYhJbIVErIwGlA/aj7fgdNMl9abn96WXNkMAjbMixSKE5r326l1LN8Qs4p5+6qlmeA5vuqkv5C23nN/PJLHopZfMZp89/VhFj+wkFnHfXXnl/GXrTBEQAREQARHIQMBpLZ6hHpdDJRa50Gv4uU4TVGJRw0ffvfmZvpC7VpeUGS1L+WxjZFsUi0O2j7GoDAyRCU+eqLEwZIGY1aJiETFabr65fSmrr+635623+h5z3XV9481kbU/0+G4Vi/BIwzMtq3WzWNTuGqqTWMTWLsQDLI1YxBZUFv9pjYDyePRFjaDyBJdPa4hOiFBxVqRYhCcjAbTD1nSxiC28gTAU9AsPSrzApp66s1iEkIig6GKdxCK2oOJplzd4tku7dK4IiIAIiMCAI+C0Fq+IlsSiikDXsRqnCSqxqI5DWmmbKhWLttnGj1dVpP3xj2aXX55OLIr7wp+2LcTvwbNl++39LWadrJNYxHlzzukH7y7q63e3ikV5xUWJRWlndbrjNtnED2CdxUhqcPHF/hlJ29BGjUqXUS2ov51YxO9pRbM33zSbccb2PSpSLKKWrbbq7e242GL+Nqy8czzLWJRxLJkryWAZNRIScP/r5FlEHKtOWdLStLeTWMT5ZcbwStM+HSMCIiACIjBgCDitxSuiJLGoItB1rMZpgkosquOQVtqmSsUiMpydcUbx/SOocdjTIM7DAC+kX//ajG1oZVuSWET9LFRZ8Ew/vRmBmwnmi4jENcnfCRJMzI9ooGa22rCFY9FF/a1uWJJYxLa54FqffPJ0vY+LWXT99em3gsXV8u23frBy/iRwOYGEO1nehXResYhtbwQlX2SRvvGa0lHzjyI2G8HWmZc//nGxgkB/eBY9/rg/37IaGQR//3uzLbbofCbZ9rIEJC9CLNp5594Z0KItLFosios11SnLYlbWVR9P3Cjup1HD4/JnP+ssFnGvZjuliyWJRcSjIpmGTAREQAREQARKJuC0Fi+5bUHxEosqAl3HapwmqMSiOg5ppW3qCrEojlh4sYdAhVBVlaURi9K0hW1YxHkKBAKELoI8I7aw1YMMbjPP3Fks4pgVV/SzmrHIvuuuvtne4toSJxZxHNv7OgUP79QvRINgu1GarShVikVwXmstX+ghOPN995khdmQ1gqzDO9gO1Sk4etayP/qoJ3B0+Nyf/7x3zK6s5aY5/vXX/blWhqX1Bgrq7iQW4TGEAJtk00xjhjgYZ/PP39tTMeaYzPfNOLEonPktqb11+11iUd1GRO0RAREQARHoJwJOa/GK2iyxqCLQdazGaYJKLKrjkFbapsyLHpfW7b232XHHuZSQ/tzwVocZZjDDI6eJRrwTtqs88ojZCSf07gEeRWwF+cMfzA49tPdvpBFHILr1VrOHHur9W5p4Ke3EIkpiiwceM5dc4gtQO+xgNsUU7enedJN/znnn9T4mLrsawZsJiM6inyDieSyPZ9Fqq5mRVS+wuOxaH3/stw0vMLZmIdidc47vCfaLX/jZyMgEhmdS2LJ6zrTrMwwRC6P2xhtmzPGyLa9416ldbMWMBoJP6kcnsejII81++9v2JcCKecg1E2fMA+Ydnm8dLPN9M04sCrZsJfW3jr93EosQy/EoY4twnFXhWcTWx6uv9u9TMhEQAREQAREokYDTWrzEdoWLllhUEeg6VuM0QSUW1XFIK21T5kWPS+vwasHrogoLexiUscitog/UQfa0dnGeWJAhEuXpX1Kg7U5pxaN9bxdQnOMQq9iW0s7wkgq3/5e/9AUZF8sjFk00kRmxcwIjvlZU3MIbiq14GMcPHtwjQuKpQnBfPLminldFLI6pk/Zst11fMlk9c/KyZXvn8OF5z44/DyFxjTWyldlJLKKkdjyYa4gIbOOMswyxdDLfN+PEok7XTTYi1R/dSSx6773OWR+LuB6StqFBhOuT7cd4CspEQAREQAREoCQCTmvxktoULVZiUUWg61iN0wSVWFTHIa20TZkXPa6tIw4PwU/LtiWX7OtRU3adZZSPKPHZZ2WU7JdJ+mrS0uOJFI4hRDwSFoRpjaxSZKgLGx410X+Llvfqq723N+URvqJlFi0WITLgiXL44Z1pENuHussQixBA5pvPDE+zqFUlFrFND3GnSGNuI/5ksbxiEWJepwxZVYtFBLnGY7CJ1k4swvstKVZQVWIRXPFaKyqRQBPHSW0WAREQAREonYDTWrz01vkVSCyqCHQdq3GaoBKL6jiklbapcrGIGC4nnlhpH1VZCgLR7EG/+Y0fCymtsX0MYWjECLMppzQje1y7jEnhMl9+2Wzaaf3z+DNtAO5O7SK2z/vvm7FtbLbZfA8DBB/qIp4NgaejFvUswqPr4IP9cx94wGzNNZNJsL2PrX8bb9z72DSLY7wxENdo31tv+cId29wCYyvhUkvFt6EqsYhtU+uu67ezKKtSLGKOIY62s6rFIlLP33NPUSSrLaedWIRQmtSnNNdDUm/SeBZRRpIHZVI9A/l3PC0R87knjTWW2ciR/v20CEF/IHNV30VABLqOgNNavCIaEosqAl3HapwmqMSiOg5ppW2SWFQp7vpWhscFWzYCyyoWkXENzxO2YZHZCq8J/j/Jzj7b7P/+r3c2u6Rzsv6O6EVsIbJPjT++Hww6ujUuKhYFdbBImmuueI+etO1IWhwTH+moo/qWtueePTG+2i2O2dZ5xx1pW+J+HIIK3k3U+bvfuZdXhljEnNp++75tk1jkPl5BCe3EojQ1JF0PacpIKxZRFlsnl146Tak6JiBAVrv11zfjI0DYEKzx1uJ+KRMBERABEfAIOK3FK2Iosagi0HWsxmmCSiyq45BW2iaJRZXirndlYQ+VrGLRZZeZbbZZvfsXbt0pp5itsIKf9Qyvo1/9qry2d1oc44kU5+kUtIYsZDPO6GeRi0tB//TTZmTvqtoIbr7llu615hGLCCSOl1gnI3Mg4ieeEHhG4O1CuvZdd21/VtWeRbQEkZAts1XFcnMfMb+E/haLLr88/f1m7bXN8PqrwsimSGDtd97xvRHnnNO91qee8gUa5v0662T37CEAP56jBHdH/MF7k/hrxPVDSFt0UbOVVurdTv5+553xbUdsJwOjTAREQAREwCPgtBaviKHEoopA17EapwkqsaiOQ1ppm2opFpFpipfiIhajldJseGV4jBAAGMsqFm27bd+A0A3HUVjzO4lFeGSxba+dBR5fcWLRaaeZ7bRTYc3MVNCLL/qZply3pOURi8iyVYRXU7TD/SEWBW1gfJsktva3WISX2DzzpJt/447rZyyswnbf3ezkk/2a2ML673/7YmVeQyhCTCQmHEZsOTwRsxheduee2/mMiy/uLUaT0ZHMjnGGl2ZcoP0sbdKxIiACItBFBJzW4hVxkFhUEeg6VuM0QSUW1XFIK21T5WLRAQeYkd66kyEWbbqp2dChlbIY8JXtvbef3QsvjLffHvA4CgPAfH73XX9bx267mSG0kMnugw/8L/T8Wye7/XbfUyHqWdSfYhHtZZ4MGeKGKY9Y9M03Zqefbvboo/7WQmJKFWH9KRZxv8M7L6ux1ZP7KaLdXnuZrbJK1hLyHd/fYhGtvvdesyuu8LlxLbWzTmIRscL23dfPZEhg7k6eZ2lIReP5tBMB8ShE9HnsMf8aIoA+23ejxhZahPvAiGPGvSCLpY0xRFZC4s7xjMbTUmJRFso6VgREYAATcFqLV8RNYlFFoOtYjdME79CcPgAAIABJREFUlVhUxyGttE2Vi0W8gPLVspOxuGYxSNwbviB3g/FFmJdw2cAmwBYOsqohdGQxhKGdd+59Rn+LRbSG7XxJYlenfuYRi6LlpV0MJ/HuT7EIIZHtS1mM7ZMEhUfwwIjHhada1uxyn3xiNvHE6bc3IdYhdiaJ/u36UkTMonDZJ5xgRnyvdtZJLNpoI3+LVmDE4nLZEhidi+efb0aw/KjBL5xd8dRT+17fnMNz48ADe5+dNaB91usDQYr/8GqKMxIXkKiCeG7tjDYyr/CuqtJIakByhax9rrKNqksERKDrCDitxSuiIbGoItB1rMZpgkosquOQVtqmysUiehfEEmnXU8QiYlKQhpyYMtFgxJUSKqgyMlzx8szWCZkIFEGgDmIR4hdCR16TWOSTyyMW4a02zTS9ySPGL7RQutFAWCKeD95JM8zgx/VZeOHO55IRb/PNzRDW8lrRYtGVV/bNQBhu28wz+1m94iwqKiA8EXA/r6UVi3gOPP98Ty14NdGPqPWHWEQbECGTvEvx7Fp22b5tRmRiGznx1pZYwuzGGztvtc3LOnwegikJFh55xIzxZi4vsEARJasMERABEUgk4LQWTyy9mAMkFhXDsZGlOE1QiUWNHPMiG90vYhEdwCOBr6t8pUZECdsvfmF24YU9//KPf5itvnqR3S6mrKmm6vmqn1QiL94s7HbZxYxFvkwEXAnUQSwilso22/jibh6rk1j00UepPSEy3zcPOcTs4IPbE8L7hQDEiOME4ibAMPdFPF2IacVWpagnR1axCG8Ptg6yjYnAy8SdefLJnjZtsEFvL5u41i6+eHavuGg5bMHCC6ooI2jzVlvFiy1BHXx4iMvgVbZYdOihfpB1YsHBLjDEObb8BsZ2VITXqLmIRQgoBKlmi2NZhjfcyiv3vm742PPXv/bUyDOP532Zhpdb2HM377bOMtuososlgABMgPb55kv2Vi+2ZpUmAn0IOK3FK+Ipsagi0HWsxmmCSiyq45BW2qbMi54iW8fihf9YSPFSHdgFF/gv/2Frl9q8yPZkKYtMN9ddZ8YiL8kIcMpXVhZ7ZK9acMGkM/S7CCQTqINYFLQyadsHggeL4agnQl3EIu4viDNJ/fi+v5nvm0liUXS0V1vNjIDz3Dcw4okRJyhsWcUigoITHLyTJW1xmmkmX9RysaQ68pb9k5/4XlJxxpbmhx7qK7iVLRaF23L22WYEm8bKFosQivASS/IOyss6fN688/rxjYh3hPFnNPB92Vkbo0G8ESMRJWXdSQCRe+mlzfBSxC66SAlRunOkG9Mrp7V4Rb2UWFQR6DpW4zRBJRbVcUgrbVPmRU8ZrcM7gUUML5zEiyD+RPQlfoopzN5/v3ftiDDhr7P8SoDXu+/2M8jw1akIW2qpvosQvs7TprigpNR55pn+V11+//WvewtEfI1l24HMjQAp5QcNMnvpJbdymnp2k8QiPGMI1su2lLDhFcIYulhKgadjFXj0/PSnqVuR+b559NFmv/1t6vJjDyRb2thj+4HO2ZrLPYjtQmFjixiLdxbneCf98pc991LuRXhytrN2sX3uusvPdDhypNnNN7v1ocw09gSp5jnCn3ijxhnp5xEol1/ebNVVzXbcsfdRCB0ILJNN1rmfBFXnHo8XGELe7LP7x3eai2w9IyA7liQWXX+9H7ybANlRYwzx1Bk2zL+eCGzOvAgbnj14+FRl8OA5icWJRXjVEcQ7jT3+uN8/5iuxkZjPGGIuHkSML9s2eYby/D/mGLMTT+xdclqxCFHtqKP8uU321Tp6MKdhNtCOicb8WnRRd4/HgcZQ/S2UgNNavNCWtC9MYlFFoOtYjdMElVhUxyGttE2ZFz2Vti5UWXT7Fl/ZeUFAHAoWQNdc0zuDWlIsizR9WXddf3EWffHm6zj1xolFpBTny1f0BT5cX54FLoub226Lb/V005kRFymt8TLNQr2JxhYa7l3Bl+w8LJvY72ib6ywWsYA96SSzr7/2W83ila02889v9sIL/r/lidMTN25FjH9Gb5fM903mK7GECErtatxXEB3wbAxnyoorl+2Bwb0riROL/WhmOe4ps86aPfU8Qj1f/knJzrZijOuVODcI+WWaa2DlpO14lI9IF3g1sA3m3//2e5TEOJhnncQiPprwbGs3J884w89WFhjPQgSrsOGdy/bQqowPIyus0DPOUc+iffbxxeIk48MRbIOYWHwQYLsRXrkECg9vT7//fv9DTNxHobRiERngiMOFBdcVzxdZvQkQV4znS9gy3sPr3UG1rmkEnNbiFXVWYlFFoOtYjdMElVhUxyGttE2ZFz2Vti5UGYtOXurYlsGXRl5MeTHnCzovjWwz4L+wJYlFLAqiGYiIKxROTYw3ANnb0opFxAHhpXjSSTuT4oU0q0cML8btXrjZ2tYue01cS/g6i8dAXKaessYY3vxHVi+y1uQ1PMzCX/6TFmh566n7eXUSi1jgha8bRAGuARZyXD+BRxEpzvFO+eEPzVioFRG7Bo+gqMiRZezwxrnkkixnWK77ZvR5m6lGh4PZfhbOvNWpKDxlGCtEpnPPNePcPIYgGCy6GRvu02xBDLxE8pSZ9hxXsYh6rr3W92oh1tGuu/pbpYP7DM8bhLA81kkswvsGYQ1WnQzvrBtuiD8CcQXxCCGrSrGIbZPMF2IF4fEUtTixaNQof7s5z3XmxWWX+QJAVATAe4iPIdH7PB9y8MCKs7RiUbTMsDjVbgwQBvmAxPObQN543eW5j3E/wJuJcugL/PKUk2ceFnXOm2+a4fFIdk+89fCES/LKK6LuKsUirlniYSHSTjKJ2cknmxGGQCYCIQJOa/GKSEosqgh0HatxmqASi+o4pJW2Kdeip9IWOlTWTiwiPgmLIYLHkgY4bOec4wfe5os6i51//tNfiKYViziegJ9JRrpmhBpe6jn+9ts7n8E2B8rmK3+csRjE0+Dhh5NqNjvssJ5FYDR1dPLZ+Y9gawjeUdFMQFlLjH5BlFiUlWDxx+PJsNNOvrfa0KH+Fpo08byKaAnedixW8xpBn5dbLtPZue6bsEGM6WbjWkQwP+usZC+bsjgUIRZF2xa+r7NlcZll8rW+k1hEjJ1bb00ud665erzz2h298ca9g0wnl1ruEYhFeEMh/CBG4mFHnKFwBrh2IhiCxOSTZ7928GpjPvLMIWZanMU9O4htFd0uGz4XYYdsa4Hh7RR4z2WhiNAUFv2KiLuD8AQv2j/hhP5HGTLEsf2SLHGB8fHtscfMiHvGNmCCr4dFHt5L4IBIx3yLGpkU8YBDQOFdJjDeQw48MAuFdMciLPJuQ+gB3suKEou4HvnIxtZUmAXeyuFW4SUezhI5yyx+Rl/OxcMTFtzX8YqD4zPP+Nsag6yUrLM4n7AFSRa0h/5SVlx7ksrQ7/1CwGktXlGLJRZVBLqO1ThNUIlFdRzSStuUa9FTaQsdKosTi3g54usQD2ECjoZjVuCGzkN+8GD/JQovo8B7KRyUmkCqfF2O24aWViyiW7xc8OWa+qIvBXzZxntq4ol7t6WdMILwRbwn2s2LNV4efCWNGvEgwi8+CGEZYrXkHg3ajTcTbeIrHbEn8loZYhGLNAIwn3563laVex7zY/To3nXUybOIliGG8JLL/KvaotdF2m2ZP/qR/7KfUdjKdd9k3pIZq10a96qZlVEf24e4v/anwZn7TDSenWubbrrJ94YrSyzint+thidhsG2Pa43rNXo/a9f3F1/04xOFM/dl5YTQEM5GF5wf9zyNbmeP1hU9h4x1+++ftUV9xVSeiS5xzXh24bWLIWgg4qy1lv9OQJv5QIaIiPHvzOfAuA/iBco2Ya5hhJOXX/Z/PeEEX5wJjHcIvIgQWKKGANbO2ys7If8MPInZujpihP93PM/wXCxiGxrxMekfxnsdHrHR0AI33miGkBk27jEIY3xYTGN8oKTs8LtX3HlhEYz3Mj5ktIuLmaZeHVMZAae1eEWtlFhUEeg6VuM0QSUW1XFIK21TrkVPpS10qIyXb7wcog/54O98XeNhj8DDw5xtB8RViTOEJdzN+UJJsFpSIfN1NBqXiODavEhlMeI7RMUiPI0IUBs1tvaQ4jtsbDsgRkz0JZb28pU/bLx485UxbAQTZZsFQlmc4QlEZqYshscSX1v58siXfl5icVfHEBTYxpFl21xQNyJAdBFYhGcRXwinntqP/cE2A74K0m4ELrI/IYSwhSqv8fKeVSRARKQdfCEmW2D0a3c4u1LednXLeXnFokBkzcgh932Tr/ydvBYytqNWhyMSIrzVwcoQwRH62H7Eopp5k8fYasb9PpqVjudON4tFeVgF57B9MW5rW9YyWajjDcOzku2V3POj2Rkpk4x//M6zk1hJbFHFewgPRgLGE9g8alzTbMHjORf2HsTLh/s01z0eJzwT8aiijrjnFuLAAgv4Hy143iDi8Jzk4xRb1mgTnjXPP2+GN2cgcuNBFIge7bjwLOF9h/7wYSTOeK/By5I2B8Y7D4HA+Y/nEO8L7YxQAPQ1amx5R0TiOYgHKgIQ3od8MGMrIvUiACG6IdbBkYDoPJMRuYJ3h05jHhezCIGRrXEI2NQbhAfgHerUU/t6QSGiMU+23bYnaH2cWMQY4oWexegT84f20I5weyiH99HoRwvEacaV8Q+2+rGVP2yI14RT4N2IOhBm4ww+zGM8ynhHjZbDOXy85CMU74IIi+FnFR9fg6D63AcpDwa8L+G9B7skY2x5RyYmG+MevgbajVVSmTX53WktXlEfJBZVBDptNaNai6HjjjuuJexf1RLDR7Suqe9ayTJmb12bG7TWInu33v1bL/8FmdMElVhU0Cg0t5jci54mdJkvaryEBPFxeNnC1btIC3+h48UGN3CEpyyWRSxisYGwg/Figat4u69VfIkLsvQE7YkTi4Lfou7W/Dtfz/AE4gU2COKa1Lfjj/eFt06WNu4HqbARloIg5nFfcZPEIl6eiAOy227x2ZxgxMt3p4Dk0b4gMLL1Ke4FlYUfL3C8XGPMEZjEBU4lXk5cxiPO4wWQINCBhb+CsiBhEREV/pLGplt/zyMWsTBhPuUwp/smXmxkM+s2YyGZ9kt7FX2Pek9UUWfeOvBqcIm7lbfegXoeW7LYah4NxB3mwbMPoSQcTDyJF2JOICLwbCDZRZABLziX5wCLbt4XooYXCcHP231Y4ByeVdz3qxRm6QvCWpoMs9FnIp5IeHUFwf3xnqH/iBYYjHkvYYsZH5ICCwLuRz3A240Bnk7htRV8EHgRQDAy3QXBzKNbAKNl0hbGgPGIE4uS5kHc7whpjF3gkYUQFPbuSrtNGdEmyKaLwMa7WeClR2iD88+Pbx0iH+9AgeF5FhWMEIiCraHEz6K9CJtRwQ4xE77hmHZBmIF2bBCKwvXhGRa0h7IIsRCwCY9VHtb9cI7TWryi9kosqgh0mmreaH2FXrG1HeTl7104x/8+YN0X32ceQjS6s5U5Ysa4LSJpKogc4zRBJRblIN5dpzgtepqAgocdX9HYL45YVHQASV5E+FLHn3jT8OUsq8V5KPEVia8vUeNYMkshSrHgjHOtD87JKhZxHvWy6KN8Fn68PPB1FeEj+nJL4GJeBKOWRiziBZosQmHjBTgc9JugybzQIxjxVRfhj5ekqDCAaNMuSxxxGPiqyQtVMFa8kLBlD0GHr3l8EY6mIE8zhnwFxnsr+nIGM9Ix8zLGl2EEIbYT7rBD36+RbDvg2KjFeVDRVoQlvlbjFh/eGpmmvd18TPBlOugjAiPj28kQENl2kcOc75t8XWX+8JIcTfudoz39fkoQp4h7RV2sSWJRXZghWpFIgZg8eK7IshOQ8OczIzB866O5FwspbstaGrIHHeS/j6QxPkDxzoPnN/fVuOywxF96++0eASmpXLxf+BgXzTaYdF7a38PCGh+g8NBJY9xnO2XWJA4VHMIf7djK1y6mJR5EBO5GoAsb75q81yLyIPYkGaIVHzF5L0QU5H2OkAi8s0VFxLAXWtwHFN53snzAS2pbyb87rcVLbltQvMSiikAnVcNkWby1eHui5eo6dWthdV5rIfGz778g3tzKALNty7Xxvdaia+HWzeeRlqvm2AVcCE4TVGJR0pB2/e/Oi56uJ1RRB8MeQ7wwkDHK9f6QRyzq1F28mAjGzYsf4huL3ajgw/lpxCJeHPi6x1c7bL/9fHFqyBBfsML4epXmqy5bQshOgkt71MgeR3DVsoxAl3y9DFvcFzt+RxSIelzxRZUvtnjBBYbARCrqOLGwrH40vVxENLZ48ALNnGQM4uZmuJ/9KRaF24FnWxCPI+844GnGNjCExKqNRQiCbN2CdyOoBveXqpk0tT4Cdwdbvjp5bPKxk+25MhHoRICMfO08XYomx5b3NO8LRdfrUh5bDfmgybY0PlwgkBRpvEfipcO1jIdQp2s2HFcsaAMZCvmYRvxMPnAkGRn9uIfgNZXmmYZ3NB9weZfkY1rY8GaKJpZJqr8ff3dai1fUbolFFYFOqgZxaLvvY4Tc05r8LMTDdm8rwNny38cz4dhtCkht6jRBJRYlDWnX/y6xqEZDzEIPN2y+fiVtrUrTbLLr8BISiCjERSJ4Zbs97WnKpH24PpPqmIc8W67IwhY2/k7GmCRDMEIsYZEZeFqy2Ce2w1RT+f+lNeIL8XKCp044o1B0K1fa8tIeFycWhdOGh8vha32YCx8SeJljfOgz2w+YA3jJuIxR2rZ323HEwSCeFVs/EFqTXo7rIhbx1Zov8C5WtVhEnDTiVvAFn3tBnTyKAo547LULPJz0Zd5lLJp8LnFi+HCBtfPMwiuT7TxcP3gkxG3FbTIDtV0EuokA7xx41/MhLmvsL8QivNfjttBXwYhnejhLXxV15qzDaS2es86sp0ksykqspOOHtC5GRCL+vIsvbTGGWIRotEJLqWU7mqs5TVCJRa74G3++xKLGD2HnDpDC/LDD/Bd69penCRSZBQnbbRHAA5dvXI+PPdbdKypLG8LHIj6R4Q4Rh+DmLGpdPbQ6tYUA2NGth7heR2NFUQZxl/bd1/d6IWYGAT4RhmTlEOBLKEIMQiJz4U9/6l0PMbiSvI/atKzQ+yaCC1524Zg17bK58QGKrDpRYwsnHmlBHJByiPaUirhFDK06Gx6QBJTlq3U0KD6C9nrr1bn15baNAL1sSWF7MdtEiNHC1k3uSQTWxxC94+5PvDciyGIELR7IHMsdJZUuAgObANv8C3CqqAKi01q8iga26pBYVBHoTtX8r/UVf6JWYNtvW1/Gj27tFd2XRUGM8dtvW1+/2YL2aSuGxgSOrttOE1RiUQ1mTv82odBFT/92RbWLQPUE8IRCGAoCkuIhhVBVpkBVfS+bXyNiKQtfxERsmmnMXn+9b/aZlD2t5L558cX+1rqwITjGzS3SbvMukSTgcG4QLD5lX/schtcjW1I7xUvLW3aV5xXhvVlle4usi8xraUQeBCO2xwSBoIm/Roy+sPGxICpgsvUIb8ljjuk5kgC7fExwnX9FclBZIiAC9SXAh0eyFzbAnNbiFfVPYlFFoDtV81jri95iBOxq2Y2tffJrEkMjxvhtbfbSt4xzFiFIbIIxCdsZvw0imFnLvm65BI+d5QXo88/NEIwCC2dySGqUfu8KApUserqClDohAm0IsP2NL/IIEng1xXkVCV7/E8ALjLgWPE/xrGC7Z06r5L7J1oFwNjwy/RCkPW7LV/COQMwIYn4R7yvObr/dD1RKWZRD4g0C/+MNR2yKJCNoLdsaCCrfdGP8A/Ew6AvZhAjkD0+8EptsbMNDcAy29ob7klYs4hyEIDIkkQRg9937Zvvky380GDZ1En+F9OQITrwPs60Nb3rmKO3KY8TlYmuKTASKIEDiC7ZTyupJgI9veZKP9ENvvmm9/43zfQDxr1v3viJiEhfdDYlFRRPNUd7fW/Eo1v0+HsWTrRTUC7bJVMNvBLjGbrjhhtbzs/UATbAfpBSACI3W+m6Y3yQW5WfX0DMrWfQ0lI2aLQIiIAJxBCq5b370ke+9831mVTviCD8GT9z7QDRuTNwxnEsZ7Yy02ASwJ4YWH6AQBhBMKHuSSfxtct20bZItDt/HmPQEIl70w1lqd9rJFxfLMFJyJwWzJYYZwWmDVOxsmQyCtwdtWmUVM1JW4/nz05/2bENk7MJZ9qLzIYtYlNR/5gVxjBAeiYtHVqdIvM4+RTCnOsW5Ymsvi0QyXGFsjeP/iWPHNdEutXxSW/kd76b+zEDINYZoGzX6i2AbjV+GsMa2ySCleVIfEQn5EJyURSzNHEyqq8m/81GnlWjIi+uYxhTnLA2lAXsMLh2tu7pnEosG7DRI7vilrWwsWxDwsWUvtr5WzUEMgRjjt7m+/6LJOZuliCFSmVhENqKkB0wyCh3RIAKVLHoaxENNFQEREIEkApXdN4m7wyKZbXNsB2LRf9JJ/oI3MN4hyAYXtg03NCO4e2AIH3h5JH14IvZYK5urly6auElsqXzuOT+QMRkQu83wesEzkHTnCGJhwzsGAYnYVyzkEUOIgRRnbMVqZbv1vF5IPR+2s8+21tdDPzYQYgfH8Hf+H6EF4QThiLTTZJYjjhBbJGkTcagYD7ImIQYh4rHAJXsii1xSXSPQYLSPuTLxxH4mxbAYQ8ZGxjIw+lXkNkLSkZMue6GF/PhHSUafYRrOAhk+Z7fdzMhkCR+SKsAlmH9418ElbATBpc8IVZ3sN7/xt8Yx1h9/3HMk8cwQvDgfsRSuN93UW1Qi6cAJJ/ieVhde2LuWQMhhq104XilZpDg+8Pzj+rvvPn8sw0bAcMab7H3fryO8nxE08PpjfjBmjDGGGMT9gDHdeGOzkSN7SrvoIr+M1odpb67RF+KzMY9nndUP/M+/M1YwhTFbWBEi2V7KvCKjFQky4oytrniHEQsuMO4PiFS0j7am2eKI1yS86DPMaQuCdposWtF2ZRFy8ColyxZj0AodYmzhPeCAzvOGY0lQQVIPrjH+ZAw4Hw6Im3AOM0m6BrhHE78waoiFZAJ78MG+v7ETBaGXMSYGZZXGmEaTmVRZf83rklhU8wGqS/PyiEWXtSLNb5rC9Tv1NrQWjFyeRTzAeNn561+zZSCqC3y1IzeByhY9uVuoE0VABESgXgT69b7JgoTYMWT9Y4HHczvq8UO8GN4tnn3W3wJEnBkWNjI3AggYeGeRVTIw0kSTNSgIDH3bbX4aaBbwbGs7+eT+j2HW8mK3nXf2281WWTzG+juDHWImoifzGcEDkQBhBREL8SXs5RUdNUQdGLO1lLmP9w2CGCIAW92ioRuI1YVHD4twxBC86Bgbsk8itp55Zt/4ZQhgtAtxACEn2IqHiEgcFURAtsWx5TMIO4G4i1CD0DTPPGYkmKA9ZJlDIDvoIL/PiBPMC4Q9vJwQDjAEGrb1IQjQH0TgpFAViIn0AQ9EspOyJdAxFqoXFJ52BAIjawTEMlLTcw0g8sEG4Qs23IMQlzH40EcEJfqDkLLRRr6HHKInFty3gkDpwfgi3lIu4hbiEfUibNEvtssiInJdcS9j/iLY8G940lEH7UE45DzEV9rMeDD/g6QXxNNC7AmMa2LVVf3tu3GG9x7jmJSVizmIUBwIoMw5BCTEKAQ2xFSMLcCIjYQj4VoMC4/0BUGSPgdzOWgT3nrMQbwgw4zhxDZ4/o3xeeONnq1bzOF2xlbi/fYzY2sx1x7XBUzjziHLLPc92kbCFPiGGSPAcp2cdlr7+uBB2ym/CzMoSixqP/T6JUSgzG1onUA3IaiWJkp9CfTroqe+WNQyERABEWhLQPdNTQ4REAEREAEREAEINGEtrphFNZir4QDXN7W+KqzB16YYyxPgWmJRDQa4S5ugRU+XDqy6JQIiUBoB3TdLQ6uCRUAEREAERKBRBCQWNWq4+q+x/2u5W07Uco38tuUKePTRR9u+++4b2xh++23LpY9I6Z+29l5P4Ogu2oQJ2n+jopqTCGjRk0RIv4uACIhAbwK6b2pGiIAIiIAIiIAIQKAJa3F5FtVkrg4ZMqS11fce48+7wkHuQu0LjlmhFfjuTvYyO1oTJqhjF3V6iQS06CkRrooWARHoSgK6b3blsKpTIiACIiACIpCZQBPW4hKLMg9rOSec10rFut33qViHDRvWSijQyigQsuGtoHrLLrus9y8cuw0B5BytCRPUsYs6vUQCWvSUCFdFi4AIdCUB3Te7cljVKREQAREQARHITKAJa3GJRZmHtZwTmCyLtzI5PNHKTjBNK9UtgtDqq6/uVXZrK3PJtq3Uqu+00qcu3EpL+0gr/Slb0VytCRPUtY86vzwCWvSUx1Yli4AIdCcB3Te7c1zVKxEQAREQARHISqAJa3GJRVlHtcTj32ilLVxxxRVbWSxbaSxbFsQkIqYRNvvss3vbz2bslBY0Q/uaMEEzdEeHVkxAi56Kgas6ERCBxhPQfbPxQ6gOiIAIiIAIiEAhBJqwFpdYVMhQF1fIqFGj7Nhjj7Wrr756jGg022yz2QYbbGD77LOPTTjhhIVV1oQJWlhnVVDhBLToKRypChQBEehyArpvdvkAq3siIAIiIAIikJJAE9biEotSDmY3HtaECdqN3LulT1r0dMtIqh8iIAJVEdB9syrSqkcEREAEREAE6k2gCWtxiUX1nkOltq4JE7RUACrciYAWPU74dLIIiMAAJKD75gAcdHVZBERABERABGIINGEtLrFoAE/dJkzQATw8te+6Fj21HyI1UAREoGYEdN+s2YCoOSIgAiIgAiLQTwSasBaXWNRPk6MO1TZhgtaBk9oQT0CLHs0MERABEchGQPfNbLx0tAiIgAiIgAh0K4EmrMUlFnXr7EvRryZM0BTd0CH9RECLnn4Cr2pFQAQaS0D3zcYOnRouAiIgAiIgAoUSaMJaXGJRoUPerMKaMEGbRXRgtVaLnoE13uqtCIiAOwHdN90ZqgQREAEREAER6AYCTViLSywrh9/7AAAgAElEQVTqhpmWsw9NmKA5u6bTKiCgRU8FkFWFCIhAVxHQfbOrhlOdEQEREAEREIHcBJqwFpdYlHt4m39iEyZo8yl3bw+06OnesVXPREAEyiGg+2Y5XFWqCIiACIiACDSNQBPW4hKLmjarCmxvEyZogd1VUQUT0KKnYKAqTgREoOsJ6L7Z9UOsDoqACIiACIhAKgJNWItLLEo1lN15UBMmaHeS745eadHTHeOoXoiACFRHQPfN6lirJhEQAREQARGoM4EmrMUlFtV5BpXctiZM0JIRqHgHAlr0OMDTqSIgAgOSgO6bA3LY1WkREAEREAER6EOgCWtxiUUDeOI2YYIO4OGpfde16Kn9EKmBIiACNSOg+2bNBkTNEQEREAEREIF+ItCEtbjEon6aHHWotgkTtA6c1IZ4Alr0aGaIgAiIQDYCum9m46WjRUAEREAERKBbCTRhLS6xqFtnX4p+NWGCpuiGDuknAlr09BN4VSsCItBYArpvNnbo1HAREAEREAERKJRAE9biEosKHfJmFdaECdosogOrtVr0DKzxVm9FQATcCei+6c5QJYiACIiACIhANxBowlpcYlE3zLScfWjCBM3ZNZ1WAQEteiqArCpEQAS6ioDum101nOqMCIiACIiACOQm0IS1uMSi3MPb/BObMEGbT7l7e6BFT/eOrXomAiJQDgHdN8vhqlJFQAREQAREoGkEmrAWl1jUtFlVYHubMEEL7K6KKpiAFj0FA1VxIiACXU9A982uH2J1UAREQAREQARSEWjCWlxiUaqh7M6DmjBBu5N8d/RKi57uGEf1QgREoDoCum9Wx1o1iYAIiIAIiECdCTRhLS6xqM4zqOS2NWGCloxAxTsQ0KLHAZ5OFQERGJAEdN8ckMOuTouACIiACIhAHwJNWItLLBrAE/frr7+2cccd1yPw5Zdf2thjjz2AaajrWQkMGTLEhg8fbssss4zdfffdWU/X8SIgAiIw4AjovjnghlwdFgEREAEREIFYAohFgwYN8n776quvbJxxxqkdKYlFtRuS6ho0evToMRO0ulpVkwiIgAiIgAiIgAiIgAiIgAiIgAiIAARw3BhvvPFqB0NiUe2GpLoGSSyqjrVqEgEREAEREAEREAEREAEREAEREIEoAYlFmhO1I/Dtt98aW9GwscYay37wgx9Y2B1OW9NqN2SFNEhjXAjG2heica79EBXSQI1zIRhrXYjGuNbDU1jjNM6FoaxtQRrj2g5NoQ3TOBeKs5aFFTXG3333nbEex9iCxnq8bibPorqNSD+3pwmBtvoZUeOr1xg3fghTdUDjnApT4w/SODd+CBM7oDFORNQVB2icu2IYO3ZCY9z9Y0wPNc7dP84DaYwlFnX/fM7Uw4E0+TOB6aKDNcZdNJgduqJx1jgPDALd30tdy90/xlpgaowHBoGB0Uvds7t/nAfSGEss6v75nKmHA2nyZwLTRQdrjLtoMCUWDYzB1DgP6HHWPXtgDL/GufvHWWPc/WMs4Vdj3G0EJBZ124g69kcPMkeADThdY9yAQSqgiRrnAiA2oAiNcwMGybGJGmNHgA05XePckIFyaKbG2AFeg07VODdosHI2dSCNscSinJOkW08bSJO/W8cwqV8a4yRC3fG7xrk7xjGpFxrnJELN/11j3PwxTNMDjXMaSs0+RmPc7PFL23qNc1pSzT1uII2xxKLmztNSWj6QJn8pABtQqMa4AYNUQBM1zgVAbEARGucGDJJjEzXGjgAbcrrGuSED5dBMjbEDvAadqnFu0GDlbOpAGmOJRTknSbeeNpAmf7eOYVK/NMZJhLrjd41zd4xjUi80zkmEmv+7xrj5Y5imBxrnNJSafYzGuNnjl7b1Gue0pJp73EAaY4lFzZ2narkIiIAIiIAIiIAIiIAIiIAIiIAIiIAIFE5AYlHhSFWgCIiACIiACIiACIiACIiACIiACIiACDSXgMSi5o6dWi4CIiACIiACIiACIiACIiACIiACIiAChROQWFQ4UhUoAiIgAiIgAiIgAiIgAiIgAiIgAiIgAs0lILGouWOnlouACIiACIiACIiACIiACIiACIiACIhA4QQkFhWOVAWKgAiIgAiIgAiIgAiIgAiIgAiIgAiIQHMJSCxq7tip5SIgAiIgAiIgAiIgAiIgAiIgAiIgAiJQOAGJRYUjVYEiIAIiIAIiIAIiIAIiIAIiIAIiIAIi0FwCEouaO3ZquQiIgAiIgAiIgAiIgAiIgAiIgAiIgAgUTkBiUeFIVaAIiIAIiIAIiIAIiIAIiIAIiIAIiIAINJeAxKLmjl3Hlo8aNcqOO+44u+qqq2zEiBH23Xff2eyzz24bbLCB7b333jbhhBPm7vlXX31lp512ml166aX2/PPP2+jRo22mmWayddZZx/bdd1+bYoopcpetE9MR+OCDD+zvf/+73X777fboo4/aa6+95o0D7BdeeGHbbLPNbPPNN7exxx47XYGho1599VWbddZZE8/bYost7OKLL048TgfkI3DXXXfZiiuumHjygQceaIcffnjice0O0PWcG10hJ84yyyze9ZvWuJenNV3LaUm5H/f555/bPffcY4899pg9/vjj3n/Bs3frrbe2888/P7GSMp/bVK5rPXEIOh7gMsZlPrNptK51t7ENn+0yznpuFzcOZZfkMs5lPrd1PRc38kXcd/VcNpNYVNycrE1Jb7zxhrfIfPnll702jT/++N6fX3zxhfcnotGdd95pM844Y+Y2f/zxx7bqqqvaww8/7J073njj2bjjjmtcTNiUU05pt912my200EKZy9YJ6QnA/Ouvvx5zwqBBg7yx+PTTT8f821JLLWU33HBDZvEu/NKJ+NROcNpwww3t5JNPTt9oHZmJQPilc+qpp2577l577WX77bdfprKDg3U958JW6ElLLLGEcc/uZO+++673M8c+9NBDqevXtZwalfOBnRaJacSiMp/bdE7XuvMQm8sYl/nMpme61t3HNyjBZZz13C5uHMouyWWcy3xu63oubuRd77t6LvtjIbGouDlZi5K++eYbW3zxxe2JJ54wFpjnnXee/exnP/PadvPNN9u2225r7733nud98sgjj2T2PFl33XU9j5aJJprI8y7adNNNbZxxxrH777/feCF+8cUXbfrpp7dnn33WJp544low6cZG/OAHP/DGeZtttrHVV1/d5phjDq+bb7/9th177LHef99++60NGTLEe8HNYuGXzldeecX4giKrnkD4RSaLN0mWlup6zkKrf44dNmyYLbfccl7lZ555pu24446pG6JrOTUq5wO5Xtdff33v2brIIot4/x1zzDH29NNPe8/GTp5FZT+36Zyudech9p6lece4zGc2PdO17j6+QQku46zndnHjUHZJLuOc1DaX57au5yS66X93ue/qudzDWWJR+jnXiCMRh7bbbjuvrbjEB4uMoPH33nuvLb/88t5fORaxIa3hjbTSSit5h1900UW25ZZb9joVoWiBBRawL7/80v7whz/YwQcfnLZoHZeRwB133DFmLOJOPeKII4ztSRgPrWWWWSZ1DXrpTI2q1APLfunU9Vzq8BVWOPfoCy64wBPo33rrrUwivK7lwoYhsSBeLKNemMsuu6wNHz48USwq87lNw3WtJw5fqgNcxrjMZzaN17WeaghTHeQyznpup0Jci4NcxjmpAy7PbV3PSXTT/+5y39VzuYezxKL0c64RR+JJgkjUyaMEsQjRaIUVVvBeItMaX0cvvPBCz9OELW5jjTVWn1O32morT0jiGLxSZP1DYOTIkTbVVFN5lRO7as8990zdEL10pkZV6oFlv3Tqei51+Aop/JNPPrFpp53WiK2www472FlnnZWpXF3LmXAVfnBasajM5zad0rVe+NCOKTDtGCe1wOWZrcVlEl3339OOs57b7qz7s4S049ypja7PbV3P1c2ATvddPZd7xkFiUXVzsvSa/ve//3lfn9l+dPTRR3vBpuOM33772996X0GJcTPBBBOkatt0003nbXPaeeed7dRTT40954orrvC2pmEvvPCCzTnnnKnK1kHFEmBcf/SjH3mF/ulPf7Jf//rXqSvQAjM1qlIPLPulU9dzqcNXSOFs9d1ll128sh544AEjDlkW07WchVbxx6ZZeJT93KZXutaLH9ugxDRjnKZ2l2c25etaT0M5/zFpx1nP7fyM63Bm2nHu1FbX57au5+pmQrv7rp7LvcdAYlF1c7L0msjCsthii3n13HjjjbbmmmvG1slva6+9tvcb5xBbIcmIKD/55JN7h51yyiljFjDR8/7973/b/PPP7/3zNddcY0OHDk0qWr+XQODaa68dw/6WW27x4hqltfBL55JLLmkvvfSSJypOOumkXjwOMurhQRYETk9bro7LRiD80rn00kvbv/71Ly9IPUHHuc7JdrfRRhtljjtGK3Q9ZxuL/jp60UUX9bJqsb33qaeeytwMXcuZkRV6QpqFR5nPbV3rhQ5nbGFpxjhNK1ye2ZSvaz0N5fzHpB1nPbfzM67DmWnHuVNbXZ/bup6rmwnt7rt6LvceA4lF1c3J0msi8DRBLLEnn3zSFlxwwdg6+Y1FP0a2rLXWWiuxbQTpDMq77rrrxtQTPZGMK5NMMon3z2TK2nXXXRPL1gHFEhg9erQnAD7zzDNe5juCjZMRIK1FU/DirYZ99tlnY4qYb775jJusPMfSUs1+XDRTB55ipL7mi0dgxKJClA22HKatRddzWlL9dxwiES+d2Iknnmi777575sboWs6MrNAT0iw8ynxu0xld64UOaZ/C0oxxUgtcn9mUr2s9ibLb72nHWc9tN879fXbacW7XziKe27qeq5kFne67ei73HgOJRdXMyUpqufTSS22LLbbw6iLYdJAhK1o5v80111zeP3POZpttlti+++67b0yQ5Ntuu81WWWWV2HNYzJLCHSPI8v77759Ytg4olgDZks4++2wjCwAZ8LJ4FdGSd955xw455BDPawUPlsGDB3sNfO211+yMM87wtrV9/fXXXlwqhMdgu1uxvVBpZDS8+OKLbcMNN/Q8SyaccEIPynPPPWfHH3+8NxYYWfHYohQNrtuJoK7n+s8vtp/hzo4HH4Gt8ezLarqWsxIr9vg0C48yn9v0Rtd6sWMaLS3NGCe1wPWZred2EmH339OOs57b7qz7s4S049yujUU8t3U9VzMDOt139VzuPQYSi6qZk5XUkmdyX3bZZWNiDBWxuERECLxYjjzySC82kqw6Aocffrj9/ve/9yo89NBDx/x/kS248sorbeONN/aKVNa7IslmKwvRLohLljWzYdoFpK7nbGNS1NF4jxHYGk9NPgAgGpZhupbLoNpTZpqFR5nPbVqia73/x7hTC6p4ZlO/rnW3eZDmWk5Tg57baSj13zEu41zVc1vXs/v8SLrv6rncm7HEIvc5V5sSynSbkyt7bYa5bUOOOuqoMZ5cv/nNb+yYY44prdHBA5WtiXgXyaonQCB7vLveeOMNb1so20PTmq7ntKT657gLLrjASL2Lsa2BrBxlma7lssiapVl4lPncpme61ssbX0pOM8btWlDlMzvcVj23s88Jl3EO16bndnb2VZ7hMs5VPrd1PeefFWnuu3ou9+YrsSj/fKvdmeGAXDfddJOtscYasW10DXBNJjQyosWZAlz3z7QIq+RkPuPrVZmGGPXnP//Z2xoVjmVUZp0quy8BtgpeddVV9uMf/9gLgJ3WwgGudT2npVbdccELK9uFn3/++VIr1rVcHt40C48yn9v0TNd6eePrIhZV/cymrbrW88+FNNdy2tL13E5LqvrjXMa5yue2rud8cyPtfVfPZYlF+WZYA84qO9Wf0u/WcxIcfPDBXoyh4OFRpkdRQEAvnfWYC3lfOmm9rud6jGG0FcSkmnfeeb1/5lrmWivTdC2XRzfNwqPs57au9fLGN69Y1B/PbC0u3eZBmms5bQ16bqclVf1xece56ue2rufscyPLfVfPZYlF2WdYg85gu8I999zjbVtg+0KcBcessMIKduedd6bu3dZbb20XXnihzTrrrPbyyy97AZSjFhzD9phXXnklddk6MB+BAw880AskjhEfijhRVdhyyy1nw4YNs/nnn9/b5iCrngDu7FyLr7/+uq299tqG22wW0/WchVZ1x+IZ+Je//MWL/fbmm29mznSXtaW6lrMSS3982oVHmc9tWqtrPf2YZT0y7RgH5fbXM5v6da1nHd2e47OOc7ua9NzOPwZVnJl3nKt+but6zjYb8tx39VzuYaxtaNnmW+2PJtDtdttt57WTxTyptcM2fPhwb489ljUoLsLSSiut5J17ySWX2Oabb96rbAQkxIMvvvhCgY8rmClkmmPvLfa73/3ODjvssEJq/e6772KFwKDwa6+91oYOHVp4vYU0vosKSRoHMqLttddeXo/Jfrf99ttn6r2u50y4KjmYVK4zzDCDjRw50jbYYANvi6GLJc0hXcsudJPPTbvwKPO5TSt1rSePVd4j0o4x5Zf1zKZsXet5RzDdeWnHOWkc9NxOx7u/jko7zuH2Ff3c1vVc7Ojnve/qudwzDhKLip2T/V7aN99846XSJn3nNNNM4wlCQer0W2+91bbddlsvNfrCCy9sjzzySK9023girbjiil4f2glJBNLFg2HiiSe2008/3TbZZBOvDFJ38/XyhRde8La34JLJMbJyCOBFdPTRR3uF41pJVrK0ljTOfH1cddVVPW8VxL/xxhvPKxovB0QJvJeChyNeRZNMMknaqnVcBgLzzDOPkdqT2GNzzz33mGv1xRdftJNOOslOPvlkb4HAtfzwww/bOOOM06v0pHHmYF3PGQakgkPDGYtuueWWMffudlUnjbGu5QoGLVTFhx9+aDyDA+Me+uCDD3oZR7lmA8NrbPDgwWP+7vLcppCkeaBrvbh5kHeMXZ7ZacZY13pxY0xJecdZz+1ix6Hs0vKOc7hdWZ/bup7LHtWe8l3uu3ou93CUWFTdnK2sJrIjIfrg6YNNMMEE3p/swcRmn31270vjjDPO2KtNaV44SeWMkMDiFENI4L8gyPGUU05pt912my200EKV9XegVcS2o5lnntnrNlsBp5pqqo4IcI/lv8CSxpkthK+99pp3OEIgixpSqH/yySdjyiCmyjXXXGO8GMnKIRDe5okQxDjgtTdq1KgxFS699NJ29dVXe8Jw1JLGmeN1PZczdnlLXW211bz7J9f3iBEjbKyxxupYVNIY61rOOxL5zgvz7lRC3DbxvM9t6kmaB7rW841n3Fl5xtj1mZ1mjHWtFzfGlJRnnIN3sqAlem4XOyZllJZ3nMNtyfrc1vVcxkj2LbOI+66eyz5XiUXVzNnKa2FBeeyxx3oLyUA0mm222bytDfvss4+XxSpqaV44Oeerr74yMihdeumlXqYevExmmmkmW2eddWzfffc1BCNZeQReffVVL1ZNWsPrCO+jwJLGma0vd9xxhycIvvXWW142HTxYGNdFFlnE1l9/fdtss81s0KBBaZug43IQwIvr/vvvt0cffdTeffddbxwQ7xCG8B7Eq4/tgO0EhaRxDpqk6znH4JRwCgIt92hiWhCw/qCDDkqsJWmMdS0nIiz0ANeFR57ndpqFh6714oY5zxi7PrPTjLGu9eLGmJLyjDPn6bld7DiUXVrecQ7alee5reu57FH1yy/ivks5ei5LLKpmxqoWERABERABERABERABERABERABERABEWgIAXkWNWSg1EwREAEREAEREAEREAEREAEREAEREAERqIKAxKIqKKsOERABERABERABERABERABERABERABEWgIAYlFDRkoNVMEREAEREAEREAEREAEREAEREAEREAEqiAgsagKyqpDBERABERABERABERABERABERABERABBpCQGJRQwZKzRQBERABERABERABERABERABERABERCBKghILKqCsuoQAREQAREQAREQAREQAREQAREQAREQgYYQkFjUkIFSM0VABERABERABERABERABERABERABESgCgISi6qgrDpEQAREQAREQAREQAREQAREQAREQAREoCEEJBY1ZKDUTBEQAREQAREQAREQAREQAREQAREQARGogoDEoiooqw4REAEREAEREAEREAEREAEREAEREAERaAgBiUUNGSg1UwREQAREQAREQAREQAREQAREQAREQASqICCxqArKqkMEREAEREAEREAEREAEREAEREAEREAEGkJAYlFDBkrNFAEREAEREAEREAEREAEREAEREAEREIEqCEgsqoKy6hABERABERABERABERABERABERABERCBhhCQWNSQgVIzRUAEREAEREAEuofALLPMYq+99pqdd955ts0221TascMOO8wOOugg+/3vf2+HHnpor7p/8IMfeH+/8847bYUVVqi0XS6VwfCCCy6w888/37beemuXonSuCIiACIiACIhAi4DEIk0DERABERABERABEaiYQH+JRe+8847NOeecNvbYY9urr75qk0wySb+JRauuuqr985//tDnmmMNeeOEFC4SqpKGYe+65veNXWmklu/32273DR4wYYfz71FNP7f32wx/+MKkY/S4CIiACIiACItCBgMQiTQ8REAEREAEREAERqJjAyiuvbP/5z3/syCOPtKFDh1ZW+w477GDnnHOOHXzwwfaHP/yhT71VehZdccUVtummm3ptuOuuu2zIkCGJHIYNG2bLLbecd9wll1xim2+++Zhztt9+ezv33HM9bym8pmQiIAIiIAIiIAL5CUgsys9OZ4qACIiACIiACIhAYwjgVTTTTDPZt99+a2+88YZNO+20/SoWjR492qabbjp7//33bauttvK2kSXZtttu6201m3TSSe2tt96y8ccff8wpjzzyiC2xxBI2+eSTe0LcoEGDkorT7yIgAiIgAiIgAm0ISCzS1BABERABERABERCBAUDg8MMP9zxuVl99dbvllltie1ylZxEN2Guvvez444/3to29/fbb9qMf/ajtSHz66aeewDVq1Cjbfffd7cQTT+xz7LzzzmvPPfecXXzxxbbFFlsMgFFVF0VABERABESgHAISi8rhqlJFQAREQAREQAQKIsCWqUMOOSRVaVkCM+Nhc//999vf//53u/vuu+3NN9+0d9991yaccEKbb775bP3117edd945Nv7NeuutZ9dff71NP/309sQTT9gUU0zRp30nnHCC7bnnnjbWWGN5sXXCAaM7xSz64osv7NRTT7Wrr77ann32WUMkGTx4sFfHwgsvbKuttpptt912qXiEDwrqxIMHT5446yQWfffdd7bffvvZn/70JxtnnHHsrLPO6hWc++uvv/a8fthe9uSTT9pHH33ktXuxxRbz2rvRRhv1iUv073//2+aff36vKWeccYb98pe/bNuvs88+23bccUfvd8pfcMEF+xzLFjS21y2//PLemMpEQAREQAREQATyEZBYlI+bzhIBERABERABEaiIwJ///Gfjv3aGuPLxxx97P2cRiwjwPOuss44plqDPE0000Ziy+GGBBRbwhJ4pp5yyV/UffPCBLbTQQp7AtNZaa9kNN9zQ6/fHHnvMfvrTnxpbreKyjrUTiz777DNP6Hj88cfHlIfgQh+//PLLMf+GcJPFnnnmGfvxj3/snUK/Z5555tjT24lFX331lScMXXrppZ6YduWVV9oaa6wxpgw4rLPOOp5wFhjtDsaFfyM2E0LSuOOO26vun/zkJ/bggw/akksu6f3ZzuD5wAMP2OKLL24PP/xw7GEIRIhyjCVj1MlTKQs/HSsCIiACIiACA42AxKKBNuLqrwiIgAiIgAh0EQFEFLJi4SGEAELcmjgvn7guI3Dstttuttlmm9myyy5r00wzjScyfP7553bjjTfa7373Oy+z1gYbbGBXXXVVnyLuvfdeW3HFFe2bb76xY4891ttShSH4LLroovbiiy96wZgRsCg3bO3Eoj/+8Y9evcTiOfnkk70A0IgziEMjR4604cOHe4Gd49rTaVhPO+0022WXXbxsYcQuamdxYhGeTXhZkbkM0Qw2xAYKDF5LLbWU/etf//IEH7zACFY9wQQTeCzwkNp3333tvffes7333tv+8pe/9Ko+7DFEGYGoFT4IDyu8vbDTTz/dfvWrX8V2gbYgEDEmtHPNNdfsotmuroiACIiACIhAdQQkFlXHWjWJgAiIgAiIgAgUSAABZeONN/aEE7xYEFLihIa8VSImzT777IZXzWuvvWYzzjhjn6IOO+wwO+igg2y88caz++67z9tyteWWW3qCzmSTTeZ52sSd104swkvppptu8rZjsS2rKGPb2UUXXdQxXhF1RcUi4gghuNAPWBDriFT3YSOj2wEHHOAJZAhocWnrH330UU9gwqsIrmFPLQQlYhHxJ4IbwlvUfv3rX3siU5rYRswBPKkOPPBAI06TTAREQAREQAREIDsBiUXZmekMERABERABERCBGhDAWyWIn4PAsuqqqxbeKjxmHnroIbvsssvGpHkPV0Lco1VWWcXzHkJEIfDyHnvs4R1y3XXX2brrrhvbpnZiEangqYvzOL8oo41sp0PIQjRqZ2GxCE+rn/3sZ55QxtYvPHWmmmqqPqfONtts9sorr3jZzNrFQuIktvThOXT55ZfbJpts0qucHXbYwc455xxPRCKTWXirGmLdDDPM4HkmsRXuvPPO64iFbWhsRyNz2rnnnlsUQpUjAiIgAiIgAgOKgMSiATXc6qwIiIAIiIAIdAcBvG522mknrzMEWkZsyGMIEQRlvuaaa+ypp57y4tywtS1qiFJ4t8QZKdwJPM02scDaZesKfm8nFiEUIRhhCDWIL2zpIsW8ixFfif793//9nxF4u50FYhHb4fDkgQftIEYR8ZyiRt8J8o2Rsp7A1+2MsuB99NFHe9vSwsY2wqWXXtr7J7atse0tMMaGrYDYsGHDbJlllumIgnP/9re/2dprr6zeSKoAAAs7SURBVO0FL5eJgAiIgAiIgAhkJyCxKDsznSECIiACIiACItCPBNgKhRBAXBqycx111FG5WoO4gzcSmbUCGzRokCeKBKJHIHCQkY0sW+2MVO2/+MUvvJ+JrUOAa8pqZ52yoSFKkU6e/gWGZw3eQYhHxEnKanPPPbcXfwmRBrGmnQViUfA75z399NN9glIHvxNomjhFWQyO8IwaWdHIjsa2N7yYAgu25s0zzzxedrgkC7yzVl55ZS/OkkwEREAEREAERCA7AYlF2ZnpDBEQAREQAREQgX4igLBD0GiCLm+44Yb217/+tU869rRNC2ILTTrppJ6AgigR9eChLrxZ2gkc1MVWNIJsB6naCUhNjB6ElnbWSSziHLZ14c1DDCC8bt5///0xRdFvspJFs4p16jdeO5RD6vkzzzyz7aGBWLTFFlt4dRAXim11iFdxRnYyspRh7YJTpx2P4447zguATTBwtr7hsYTn0kwzzeQJZ528u8J14Al16623elvd2PImEwEREAEREAERyE5AYlF2ZjpDBERABERABESgHwgQy4YYQsGfxAki41YeYzsUWbPYckYw6mDrV7Qs4hC9/PLLHcWiQw891PudINfE73nuuee8bWkIKe28i5LEonA7EGwef/xxO/HEE724QBhbydhSltbWW289u/7669tmdgvKCccsGjFihCcuIYaRSY3sbFHPo1dffdVmnXVW7/R2cZ3SthFBDLFu9OjRxjY4gmYfccQRXqDqIDB2XMykaPl4OuHxRKa7k046KW31Ok4EREAEREAERCBEQGKRpoMIiIAIiIAIiEDtCZApi/T2eBYhtDz44IOxwZbTdiQca4etTWxxihrePYg/WDvPIjx/2BaG5wueMXgnkRWM9naKW5RFLAq3Kwi4nTUez/777+9t11tkkUW8LXLtLJoNje11BJWmfwhHxIqKCkZskUPAQ5C69tpr0w5B7HF4A+EthkjHtrm55prLXnrppUSRK1wYQbL/+9//2qmnnmo777yzU3t0sgiIgAiIgAgMVAISiwbqyKvfIiACIiACItAQAggV66yzjt188802ePBgL0U9cYFcDDEHzyK8duKyc/HvG2+8sV111VVtxSLiGeFB9MYbb3giEcGUEVIuvPBC23rrrb3z2mVEaycWffnllx1jHSFM3XXXXZmFGdgRC4hYTJ988klbj6yoWEQfrrjiCi+L2tdff+31iwxjY4011hj8gWcV59JfxqqdwWyyySZr+/s//vEPW3311b3fDznkkDFxosh2t8YaayQOOcLSnHPO6R1H/CPXeZJYoQ4QAREQAREQgS4lILGoSwdW3RIBERABERCBbiHAdqJTTjnF24qE6EHg4iJs+eWX92ICTTvttN72LspFBHnxxRe9LVBk5Zpkkknsww8/jPUsGjp0qOdJw/lkGptiiinGNItg13jlkCEMb6ggY1hwQDuxCPEJDyrKZjvVxBNP7J1CMG62gSHMYMQdwtMnrSEQ0RYEn04ZxeLEIuogI9mmm27qZTNjyx6CGLGFsFGjRnmZzGDAVjy2jW2//fZj+szvbAsjBhNxkODZzhDp8OZiextjwRa4GWeccczfk/rLlkKELbarvfvuu0mH63cREAEREAEREIE2BCQWaWqIgAiIgAiIgAjUmkAgrCAWdfJKCUSNIAV7UqeIA4RghJcRhtAx/vjje543iCZs28KjhcDV0W1oiFeIWAgat912mxfgOmwE4GY7Gp4uQ4YMsTvuuKOXN047sSj4d8qiDXg/IZhQXmB4PBEfKOzdk9RXfg/ErU4Z0dqJRZx/ww03eEHF8X6iDQgzQda4d955x/tt+PDhY5pC22njxx9/7HlwYRyP4NTJAk+l4JiDDjrI8zJKY7QLUWqvvfayY489Ns0pOkYEREAEREAERCCGgMQiTQsREAEREAEREIFaEwgLKEkNJej1CiuskHTYmN+ff/55T4i4/fbbPY8XvG+IC0TwaAQgyoqKRXjQcAzBsfFAIhhznJERDeGKgM3UgegRWDuxiKDYiE94PBFgGhEGcQVPmcUXX9yLH0RsoDwWbPHCy+n111+PFZs6iUXUecstt3iiE33nT7aoBVnZELXwQMJ7CE8ivKEw2j7//PN7W/V+/vOf9/GyivblzTfftJlnntkTyWgPsaP4e5Ih8k099dRe29rFoUoqQ7+LgAiIgAiIgAj4BCQWaSaIgAiIgAiIgAiIwAAggHcPgbwJHI1wtOqqq3ZVr8855xzbYYcdPJEP8U8mAiIgAiIgAiKQn4DEovzsdKYIiIAIiIAIiIAINIoAcZjYLobHFF5Y3WIEQSeYNfGm8M4i3pNMBERABERABEQgPwGJRfnZ6UwREAEREAEREAERaByB5ZZbzgtyTRwlsqt1gxGgnC16m222mbcNTiYCIiACIiACIuBGQGKRGz+dLQIiIAIiIAIiIAKNIvCvf/3LrrrqKltooYW8uEPdYOeff76XMY0sbGRPk4mACIiACIiACLgRkFjkxk9ni4AIiIAIiIAIiIAIiIAIiIAIiIAIiEBXEZBY1FXDqc6IgAiIgAiIgAiIgAiIgAiIgAiIgAiIgBsBiUVu/HS2CIiACIiACIiACIiACIiACIiACIiACHQVAYlFXTWc6owIiIAIiIAIiIAIiIAIiIAIiIAIiIAIuBGQWOTGT2eLgAiIgAiIgAiIgAiIgAiIgAiIgAiIQFcRkFjUVcOpzoiACIiACIiACIiACIiACIiACIiACIiAGwGJRW78dLYIiIAIiIAIiIAIiIAIiIAIiIAIiIAIdBUBiUVdNZzqjAiIgAiIgAiIgAiIgAiIgAiIgAiIgAi4EZBY5MZPZ4uACIiACIiACIiACIiACIiACIiACIhAVxGQWNRVw6nOiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAbAYlFbvx0tgiIgAiIgAiIgAiIgAiIgAiIgAiIgAh0FQGJRV01nOqMCIiACIiACIiACIiACIiACIiACIiACLgRkFjkxk9ni4AIiIAIiIAIiIAIiIAIiIAIiIAIiEBXEZBY1FXDqc6IgAiIgAiIgAiIgAiIgAiIgAiIgAiIgBsBiUVu/HS2CIiACIiACIiACIiACIiACIiACIiACHQVAYlFXTWc6owIiIAIiIAIiIAIiIAIiIAIiIAIiIAIuBGQWOTGT2eLgAiIgAiIgAiIgAiIgAiIgAiIgAiIQFcRkFjUVcOpzoiACIiACIiACIiACIiACIiACIiACIiAGwGJRW78dLYIiIAIiIAIiIAIiIAIiIAIiIAIiIAIdBUBiUVdNZzqjAiIgAiIgAiIgAiIgAiIgAiIgAiIgAi4EZBY5MZPZ4uACIiACIiACIiACIiACIiACIiACIhAVxGQWNRVw6nOiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAbAYlFbvx0tgiIgAiIgAiIgAiIgAiIgAiIgAiIgAh0FQGJRV01nOqMCIiACIiACIiACIiACIiACIiACIiACLgRkFjkxk9ni4AIiIAIiIAIiIAIiIAIiIAIiIAIiEBXEZBY1FXDqc6IgAiIgAiIgAiIgAiIgAiIgAiIgAiIgBsBiUVu/HS2CIiACIiACIiACIiACIiACIiACIiACHQVAYlFXTWc6owIiIAIiIAIiIAIiIAIiIAIiIAIiIAIuBGQWOTGT2eLgAiIgAiIgAiIgAiIgAiIgAiIgAiIQFcRkFjUVcOpzoiACIiACIiACIiACIiACIiACIiACIiAGwGJRW78dLYIiIAIiIAIiIAIiIAIiIAIiIAIiIAIdBWBH3RVb9QZERABERABERABERABERABERABERABERABJwL/D0+aqDfWyHcNAAAAAElFTkSuQmCC\" width=\"639.65\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SI.add_elements(['Pd', 'Au'])\n",
    "SI.add_lines()\n",
    "SI_sum = SI.sum()\n",
    "SI_sum.plot(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3499b143",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[########################################] | 100% Completed |  0.1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/dls_sw/apps/python/miniforge/4.10.0-0/envs/epsic3.10/lib/python3.10/site-packages/hyperspy/misc/material.py:61: RuntimeWarning: invalid value encountered in true_divide\n",
      "  atomic_percent[i] /= sum_weight\n"
     ]
    }
   ],
   "source": [
    "kfactors=([1,1]) # for Pd and Au\n",
    "bw = SI.estimate_background_windows(line_width = [5.0,2.0])\n",
    "intensities = SI.get_lines_intensity(background_windows=bw)\n",
    "atomic_percent = SI.quantification(intensities, method = 'CL',\n",
    "                                  factors = kfactors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a806fe7",
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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",
       "    // 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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       "<img 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iY1n02QR6whELIf4KkL2xl//+telLI2y1g8UcL6dpryl1eWrX/1qosyVOUSg8G+77bZJ5qc6UpQWu8x4iUUWUX8Oe6y1Vrgtdg+/ZdsIYYbFCNacVo466qjU9Odly8x7jnG13XbbJTfVZYWDMYow9cqyNBJZdGILzirZ0PL6gPkMSeoKSTiOOOKIaV5jHHGAdPdxDv5cHoUQG2XHSNXnOOxAGFth/0anKmNNUPVb7vNphAB/I9wAF4JlhIsTMuVmxbLMKgMrCtZMLs/ydDT/fS7HOLyutdZaZarXeoZDLkQT46iImPcLhszwLw3LrPNZFaxCFhH8HN3Q1Rf9cruZLKKtXNhmkfBuWyA0zjvvvMRSxQrk+V577TXi/JGFK2sN8wjCokmJSRZhSYSOm0XKuu3Aeuq0004zG2+8cevP9957b/J+mfnK2nfssccm5GcZ+e1vf2t22GGHUn3nl4clPueaMpkr/Xe5QMNbJYsk8p/fd999Dec9CDf3QqCKBW8716MlllhiROIGzi2uG3KZvtEz5RAQWVQOp2hPoRizsbvConPTTTclN/5W2ED/+te/mo985CPRvl1UUNphj9voCRMmjHiVukEiQHBZ6wSfLGKj2nTTTVM/iQKH+wkLGKaRWYIFDJtbnqDksrhZWXfddRMrpqqConb99de3XqPNEydOrFpM7vOdIou4+WMRxdLL3zD5/6wbjo997GPJLUhZITA75AIm0mnCLSa3XbgHpSmZkKModBxym5Iyh3/322lkURN4NkkWEbMD4jWLrCErEdZEaTetYAGJTb/gxpAnaesHZDhKktvfrB8cGlg/UCzShNtflzRJewYLR0hGd966z7HOoBRygGKMpx2kuo0seuaZZxJzefdC4aKLLqpk4QUG9LlroUUfY+5elfwtMw9ZIz796U9nriN8k/ZkWbKxzkAUp7k/iCyKTxZhBeITErhnYF2UJswxN0EHz2AJA6GbFxi7zNiJ/QzWkIcddtiIYtEJuPhwD86xv+sTHqxJEBPu5R/f5CKMZ7P0HvY+Dull3UKwIOKA6/ePbR/rOroWrkZpF3fsxxxE2bfLCO3BQiiPwOZyE0KDNdcnNlgL/H2mHWQR6wh7kb/f2Ix8tj+6lSxir2NP9Pc36g+eaQQS5AKXKODLPoflmivMXfoDfSxtb8TyBjcsyOKmJBZZhGUxup2r41g9g75N23vcbJD3339/okv4uiv48K67H1ssKJ+9mUvxIsHalouRNAFf5ij6UJYVPn1FG5l7ZQWrv6zYcpBdtI11we97zqfM4TpkUbvXI5FFZUdD+HMii8IxrFQCizoHd1cxQ4FgMXIXfNyAWODbKf5hj1ttfGo56HHzu8ceeySxibi1QAmhvphWnnrqqclCSDusWLKIBRnCi42amDjcSrrxUFjI2ZA4LHAz5hIXfANzTYicLCEdMLGO3AWPW08yuJQVSI4111yz9TgLM5sHh7aY0gmyCAspNgVrUfSJT3wi6SsUaHs4wzQb/Ol//1aG20P6vEhQIvGzdhVBxgzuZdxisxHbAO0orbhBcNMFJq5bI/1GjKMQ8/i8uoaSRU3hicnzGWeckVQd64wpU6a0mjHvvPOOSF2d1r6sWAscIlhvXIzBlj6FQGIuW4UZ8pbnWXe4dXPXI9JRM6fzrAn89QNXL27pKBeFCNcHvsl8tpYkjMvjjz8+aa+r0EH0cCDJi2OWpgxx6IVgZnxzIHYPIqxV1AdiDjIFa6sYZBEKKu51CGQP7lWuFK3jKJuuSTzrLJhYIYsV87OKYGqPxaoVsP/lL39ZpYhSz9J/xJvzCWfWfNwhOLCwLzCWsMBiXGE95d/uQyiefPLJ03yT/ce1FMHFxg1YTLwFbj3TxMe1VIMyHqpzqAn5Hu825YZG2VgOuO6O7AVZZDJzkxtnX1ir6WPICm6/u0GIM8K64wvrNtYwrD++G1SMevuEB+MSSwcEPYI1AULGxn9inWAs4+7jW/uyV6IfFlluQXzgCkPsHVdYA3HPZ913dRjcxlhHcKFx5x/rP+QWsdzyhHdYu11rRZ6n78GWNQfLeWuNzT5PzBj0KyymuPxk7/HJIg7SVvwDNRd2ee5Q6Bz844p/8cL76JKWCEAX5TusD1YX5bKTSyDiK9EGK1X1hTT8Qt3Q0E3RiRAubLggZU+wsXPYX8EWotS3ikF/Y65jcUd/0N7x48cn1rjo4tSNvzPeGKNXX331iCZAGOB22pTUWVf9/mVus34xLpkz6DaE78BizoakYK/noh73NFfYn9hPGNc8g3DJwnhGh7BnGspmH2ctdM8akLuM8SLS3JJFENZYM3FBwjjjjOXquhB3zGcI3BNPPHGEToT+jFEB/VkkkFjobK4OBza4te26667JGokOxtmO5EnoL7jeWTLVXb/4VhnLonavR9RLZFHRSIj3u8iieFiWLomDNbf1WSwypp8QHu0MNEfl/cOebRCLMRtpmhKW1WjcEth4WGTKtoObbw69KHxWrJteHrhsnNwIWalKtPlK+ZZbbpmw+LGlE2SRbQMbEpvPNttsk9ksDnMon66vNoqYH9/CL4BNAoUG0s8KizgkYh7Rx7OQgRw2XKsnzGYhApqQqspflsVPk3jGCnDNgQSCFpLECv//+9//3mAxmCco98Trcm/UiuLnZK0fKDcoZHnxaSCicNlwLZD233//EVaDfn39+CTcnGKNWPammnGNApW3rlUdLzECXLP2uwcWlDrKLWttgGKLEutiiZLplhljblE+ZKN/WOUw6lvPut/j9hGrU3ed53fIIkijPIkRS6FO2+scaup8x32nSbKIfZYYFq6wXkBM+4KeApnpriPuM8wh9BnGAv+w5jM3iw5Qofhkvc8FRd7+jX7FYcjWlVhp7kVXnXplrTkc2CBoshIGcNDfaaedEhLVFay20gg69xn0HJcAxkqI//ddDP32sL/T/+68LbPPo4v5lsbsERyEyyREgKzhgijPYrQqsZLWV1l7NuOR8AZ+Upm8/q66/qeVVbVN/ry3ZUJ+MGezyDPIXggOVw+D0GWMQUhCBnKBgG6WJlwoQfhhRWyFsACEFqibkKBoLtVZV7P6l3MGcw0iJktwr8KdzxXOD6wXEEtc0jAfs4Tx67ueQfqiu+QJFl5YdGJtWNZSCxKK/mDvt1LmbMMFPIH+/csAdDBiE2UJRCOXPGmeAWXIonavR7RDZFHRDIv3u8iieFhWKomDF7dyvrCxEO+lKFhtpY+VfDjtsMcGC+mDYtUO4SAB2+7efHG7nHe49TcPNg2IpzKxnlCQiWfg+vSyWdbxDy7Cp5NkUZmDGPWH4PFjPnH4zPNdxy/adRfk9oubsLL+7txqMd7t4ZabTja6tINLEcZFv1dV/rIUkybxjEUW+S6azCEsh8riym2Ta1WGmyBEd5bimLZ+MBe5tU4LJun3FWSPa4XD97AcTBPmq3sjh6IH4VhmzheNEff3quMlBlnE9/3vHnTQQUkcgTKC6blLtua5GJUpL+sZXHvcYLA8x+00cTWKhHUX8op12kpeVi77TDeRRUVtzPu9TPyhJsmitAMpN8xZhC7EHpYqRUFZbZuZ9xxuGcdYMTRhzZOFL5YrXHqUjfXFeoZ1HAcpxnPVwLXUI40s4nAOIVNERHFI55BvrUcojz2UQ3rWwZKDHUSAtRzg+1imlk0OgJ5Fm935BxGUddBOCyvAodm1gAyZD/bdqsRK2jez9uwyBJxfXtX1P60+VduUNjfZCyGBrHV2FtYEc087O5S1SmF/Zx12LVI4j5RxtarT/zHJIogiiJ88wYqK8wXxiXzBsibtTOY/xzrohrqAnOUitglhDYPMtlbX6DyQTnnu5BDGEDeuQDKWWRu4VILs911Wi8iidq9Htm0ii5oYdelliixqH9YjvoTSBWvv+66XYY6bqnLaYa8T9fEPO5ARWf6+FgtuNq0ZKX8jo8Hee+9dCJWfMYhDLebaTUinyCKIL/e2qGgzxX0H1zQrWKKg8KcJmwrKhXv7QTuzXEOyvo1FwSmnnNL6ualgvFWVvzTFs0k8ASAGWcSBCQXTdS2hXBSdKgLR4GZwxOIoK75F2voBceC7ZWV937eo4TncItPSLnM77lrakMUvK3tJlfb6z1YdL7HIIhRf4gBZKZvpMS2rI8E1CT4dW/xgwqwDEA5lkwIQXNdfV4qUWpFFD0TpRlxROBy5AlmRdynEvshFAvO0qkCG4NLS1KHTrw/uHLhcMMaqCsQWWQRx1yhrHZVGFmFNUDbmZJr7XJ4LONYPrtsmBANWD1WEWJm4p1qBKHMttN2y6D+SllgBI8ZBbHfxqsRKWnvT9mwsLdAPi1z7Qtf/tPpUbVMaWVQlcYvvYkqd0HOz4tf4dfb7usq7VcYfz8Yii8p4INi64VbnX2hAkrN3lREIUlzFrTC2ygTFLlN22jN4A7iWh3h5ZMWD5X2sx13rMvQ19LayQjw6zk+uFJFF7V6PbN1EFpXt1fDnRBaFY1irBIgMXCZ84VYL1rrqplarEt5LaYc93MlYfNopmIS6qdRZiE466aTcKviKD7d6mHHmCZYsKD3EJ7JS9nahDh6dIovK3Li47SGuEaa1VvL81v2bLG5EObRXNVv2A/LmKa51sLfvVD38pymeTeJJPWOQRdx0ueb2zOGqmdCoC0H33dTtHDLdeEpuX/jrB0oyN9hl45lwm8kNKEEXrTC+0kyncY2xsZZ4lvWSeQxBFlOqjpdYZBFxEYhJ4ZqSlyF9fDN5YqRgoWBjN8TCBhKS+Atu/AbGBeOjrLD+Yn3otpFYK24ME78skUUPlIU39zkIXOLluILewUGxaM/E4pC+rrOeQDZx2HLnbpQGZRQCwUFgYGK6VMkURnFYvqGL2NgwefX0CYE6l05+IHEOiVj6+oLbN+ukaw1dx82UdRYrU4sL/411pt+WtIDoWC+4RFOsPqxKrKR9N23Prro21dUX0upTtU0+WYTbGa5BZXUq3w2TvZF+LRvgHfdHd4+vQ0SWHQ+xyCI/MHne97mQ8ANFV9H7/Ust8MU6sKkzG27dhGawkmdlzOWan1EYq0A361tR33ApgPWVK3lkUbvXo6L66/dmEBBZ1AyuuaWymXErm5UCs+7GFtoUXxFHecBdIKZwcCGAL5YPHDhYaHwc/AC/ZdIhElsFdzLXfa0oi1A7MwaBYafIoqxYFFn96t865xEEEEmMGyvEMLDBfquMG3+Tw5qkTArUKt/g2aqH/zTFs0k8qWMMsohbccabFYJf+ofDMthhbUB8DytYHrjuEm4Z/vqBtZ97w1Xme/6tWJ4lk29NiPk01mkxXV6qjpdYZBFYkcr8wAMPbMFWJtOjn9WxrFtYmb5xn8FqwndZYW2vmqLcP5gQYNa1EPXr1U1kUVHw3TxMifFSFJ+pSTe0tNvjIssivz24SOD6BKGLeyvWPGUE9yfeKRvLsEyZRc+wl7CWsLbi9uy6X+W9iw4EiZYXb433fUIAyyQCuVcRP2A/c4k55Yt/QYMlcNn2+GVxKHQtqelT/6DouyNjbYX+1kT/VSVW0vBN27OrJj2x5VZd/9PqU7VN/ryvahlCvDgss61AekImlhWIE5f0b+rijvrEIovQ+8uSYegk/gV4lUtx1jnfHZD5UDXTKOceLriIJwVxy3koLWsba6t7WZ5H3LDGEXPVCm6seLGUJRrteyQWcQPZ532z3etR2XGs5+IiILIoLp6FpeF2hq+5a83iv4SPO5tbXiagwg/VeMBXxNko3Uw0NYpMiCAUSm7FYbjLKpTut8oeOlHQMJm1UpRFyM8YVHSrXaf97judIIuI4VIVc24uOAhZyYtN4Ae9JNBfGd9oH0tuN10LFhQsbmvKugGU7Zuqyp+veDaNJ+2IQRZhWUesLyv41RNDpKpgGeQGhCS7jmsJ4pbnrx/c3hHXpor4JvAoSVkBJ9N88xkvBJVFwcXlpSiQd1Hdqo6XmGQRCjAHRjfIOIou62GapGV1pD5VCZwiTPid+B8EILfCbSYWCFUFcs8lTZj3KAKMIecAACAASURBVMxl42IVmcdXrU/W83UONaHfbpIsAjffWhdXClwq6gj7PHFAcKdiHLKG+QHM3XJxi0Qn6JRgqUH9iKcGGQSBlHZQo36Qzxy286yhfEIAi6C8ZBJp7SY2jB8rMe1iAhLKDRKN+2dRMOwsnCdNmjTiUJh2weYTupB9flD7WP1YlVhJ+66/f7KWYIVVR5eouv6n1adqm/x5D7Hrkj9FWPv6W1WyyXez4mKbcdGE1FlX/f6FpPEz7OXVlbhM/oUS2fCK4kHZMtFV/f0JnahM9mTWGNYGQjsw37OSHOXVP0+vwopywoQJrdfLBK5P+xYu8G4G1rx9tt3rURPjUGUWIyCyqBijqE/4QVwxXcQ3ndhAbnwRXC9YFMtk9uHmJyvtbVrlUc7Tslf4hz3MWf0sHVXAQBnDVDlUscBVwU/XmlYPFmxMxq1ZNcpB1mEpLZBf3kGsSrvLHjjKWExVVVb8jTQvSHBWPavc3vuWIDFwsmUQN6msC1PZ73Y7nrQjBlmE4lOVJCyDIQemrCC3/ripE/ixSv/gxkTMm7y08owfMvURe4k1FSupKubiVeoDfjHJIsoj7goZfKzkEdo+AVBElpfp76xnsFQ77LDDWj/jQuPGtipbtm+5xnsQlLizpkmVtalsHco8V+dQU6bcvGeaJIt8V2PqUeV2vkzbuBDD1Z6Yg67LlH23qiVTmW/WfYbDJnoYYzqN9MTKj4QBWeLraRBmRZlA/bLQcfwLQqysIYNcSYs3Vbfd/nvEeHJjpfG7H4+ENZfDbhNSlVhJq4O/f+LG5WZbrVLvqut/WtlV2+TPe2LsYMFdVkL34TqXmmXr5j9XZ10N1XHT9mh0iTJnLVv/qn3KexBuxF7FkihEuASDaEoTP94r6zyX9VXFD5OSRxa1ez2q2hY9HwcBkUVxcCxVChOcgIeu2xW3NtzSEqfBD+JclKraftQP8lVUGZS4tPSZMRVxbuuwMimbPSWvzmUyx9j3OSC5QRqz3DC4FQd3K2VcPIpwLfq9ziZcVVmJQTRUGQfcpmSlVC7Co+h3NnX6PqZ0O560NbQPIUuJUZPl5hqKZ1a5VcZNVh2q9g9KHgc8brfKrDVYwIwbNy5J7V7mJrBqfWKTRX58BMg6YoL5Wd/SsjoWueGGjAP2Kje2UJUAo+530+Ij8Les7Hkxxliddtc51NT5jvtOk2SRv27XsZgs2z7cChkffgD6JmOhlK2b/xyEGToErhWuoC/lWYP7h8e8MZxVN+awfzlyzTXXJGS3Kz55U7etae+lJadopwV2nUO4347Q/dMtr+r6n4Zp1Tb58x7LXtfVv6i/Q9fIOnpqUZ2yfq+zrob2b4w9umqfYk3EJb2fZawObnmXzP7lEt90A+GX/R7WSVgpWckji9q9HpVtg56Li4DIorh4ZpaG5Q/uZ24qaFwkMG8mowQHMIgklzHmYICiVZSCvNvIIiwacIPB1NsVfKdRxLhxgwTg4Ebb8at1b/tDNgP/3bQsQmkZg6pkm6g7ZOpswlWVlRDsbLuqKBsE0MUSoAnJIjVDvtXteNK20D7EbakoXXMIht1EFtl2cNDCpYmAtByw0iwZ3DaTsYsYTq4rVRomVcdLDEXUr4dfh7RMj35WxzIB/kPGAJawuAFaITsLWVqqShpZhPtklvtglbWpal3ynq9zqAn9flNkEfFtfNfEMlauIe3B6gzrPlfyXFpDvhX6LlZGjD83IyhlYo2cFezaPzzmjeGs+mH94lvUpVlfESQ8LfB1aLt5nwD5bmIE/sbcJoSAlSbd9asewtPaHLp/umVWXf/T6lO1TSKL0i+zLbah/Rtjj67Sp3yPmGe+yxnrIRfquIqxFqJLzzLLLMl5yC2/yrmBUA4kJbGSFSS/aK3wLZTyyKJ2r0dFddfvzSAgsqgZXKcplQ32mGOOaf0dcoRMHW4cERYVCCX3hhyTQ26I80wku40s8oMeY+WAElIU0NOCQyYuzCetVLEs4h1IKTe9r59FyM8YVDYtdehQqbLo229VVVZCN1K+W+VARowLN+scY5zbjW6VbscT3GL0IWSRG+uGbEDE8mlSqoybrHpU7Z+0cgiaTyySq6++OnGNYp3NCtSfl+mPsqvWJ4Yi6rfJzw7pE0FpWR3LWqXWHQ9yQzOJpUmahW5dTP33miKL/EyJfJcYOO5Ncqw2uOWg60DkugKpy+Go2wQ8/ADVeVmF2umG5ocyqJtUoizmve6GVlV/dHGpuv77mLI2+7GSitYNkUX9RRb5yUaw4sTd008QkTUfceXFLcxKHrHvx6tC50P3qyq+hVIeWdTu9ahqW/R8HAREFsXBMbeUtMwx3GgTXNAXP1U1v+Pz77uoNVHtGIc96uVnKaqakeeEE04wu+++e6uJVTd7Yny4hAUMPgEsrfgZg6r6hNfFvh/JIjYuXA6tENeB+A7dKlWVvxjETdV5FeObzBk3EHU71pCq7UwbI1X7p8w4Q2Hnhp51hTnomoITqJIMQH5cEFtu1fo0QRbhVkgsE9cq9cILL2wFw/XJdbIUYT3iu6qVwarsM7ECXEPkc9i1ogDXwz3QFFnk7398EWK1TgD8suOF59IysOGattBCC1Uppi3P4sqOFbQrWC7iwpom7QxwjVvSwQcf3KpGXobKGGD1eoDrqvqjixkBx11rf3RLVzctwhe3RmImuSKyaBiNOhabofpRjD26rGURugYWQ26W5qpjiPPJIYcc0gItjyzyz491rTc5M7kxCPPIonavR0VzTr83g4DIomZwbZVKSkTSAbspULkZJlUjJoe+4OJB9gEWRCso/7fddlv0+C3+t2Mc9jjY4OLBAc1KWpDGPNj9eBhVN3ssKjCzdxdoG7zaD6jKYZHNY5FFFml4JEybJrSM6X/Vw2roRgoIVcaBH9yuacU1tJO6HU/aF6MPyQbmZiJrMiip7ZMq4yarH6v2T9XxALHJAcAljPKsi6rWJ4YimtYm382M9LhYHCG+mwguYr/4xS+qQlPp+bQLEGKXVV1H99tvPzN58uTWt9krcb3OkhhjrFJD///hOoeaOt9x32mCLCK7KfqFK+gjEKZVArzWaVuatQ4u602SmnXqyTvnn39+EmfJFdZTMhGliY8dmVl9y6SiuvzgBz8wuH9YQYdx9Ub7dz89NpbbuMxVTd1dVB/7u0/oYimDqx56aWwpewjP+26M/dOW7++jU6ZMGZFWvqj9JHlZffXVRzwmsmgYjjrramj/xtijy45T+tp1XeW8wZmQ8Btlxd/f884N1113nUEHd6XqvoxlNgQnmbut5JFF7V6PyuKm5+IiILIoLp7TlLbHHnsYUlFaYaPFLYKsPFlCVgysc9zJSjwjFPQmJYYi/sQTTySxiFxh8YFAKiMc4rhFd60iqpJFfAdljQOWFetn72cMCs34VqZN9pl+tCwiTgl+11bYREmhnBXboQpeTTxb9fAfqpjQhqrzivWBgOtWsg4NefhgSbTXXnu1HiH7IUpDkwezqu1Mq3/V/qkzRnwf+7ysYVXrA8Z+4GzWtDppm922QXwzDqxroc30yNqKVZQbRwqyBdKlSSEG3zzzzNPKPMm30mIp5dWBOhOPz7WYKiK6YoyxOrjUOdTU+Y77TmyyiJg4pD33CYiqN91127XjjjsaMrda4bLMdZWtW24T7/nWyXwjLdi0u++59SBAO/G4qsg666yTWHhZISsZ7iq+cNjkMOcS3mmxhqp8O+/ZNJ2OeGVkuo0tHKZtNlvKRpfwM8QVfTPGnm2/4c9B3IFY58qKb4HJeyKLhtGrs66G9m87ySL/chorSj/Qf95YgpRl33fPgnlk0ZtvvmnIhOvGRyrK5Oh/n0yH22233Yg/55FF7V6Pys49PRcXAZFFcfEcURo+7rDCrpR10yHmxFe+8pUR7zYdDyaGIp5mdouyMXr06FJIn3TSSYaFyZU6ZBFkE4SFVTwIFo51EYcoN/gtJsbEhWqH9CNZhLJP/7jBQJuOoRDSV1UP/6GKCXWtOq8Yp6usskqrmRA9bMhVBIWE8Q+ZYIU4MwR1bkqqtjOtHlX7p05bfAuHjTfeeEQAV7fMqvXBUgJlzRXiJc0777x1qjriHT+OAO69zD83q+N66603TSan4A9nFOC7aGChQqw4LB3KyOmnnz5Nmu4zzzzTbL755pmvxxhjZermP1PnUFPnO+47Mcmi5557zmCN5mf5WnXVVZP4Xm6CidB6p73/xhtvJFZnbgrztddee4SrQxPfrVvmFltsMSLlNHGVqHuWNU2aVRaXe1zylZE0CxR0IeIFpQkxHXE/tQLpSuzApuI/+evgMsssk8z1KhYSZXCAgOaAbOWGG25ICM4qEmPPtt/joH3ggQe2Ps98oa/KCNb1rIl+qnSRRcPo1VlXQ/u3nWSRP685h6DLlV1vcTfFzcuVIo+E3XbbLYkRawWCirWhjOUhBDTzzbfuzSOL+E6716My80/PxEVAZFFcPFulcWiAmHDTiq+wwgqJ+1mZDZ1bVzZoNx4MVgG4o5VJ+VynWTEUcerN4dZlwsveXELwsBm77mO0ow5ZxHtYDVlXDf4f/N1gzPw/5vftkn4ki8Au7fYslNhkHDXhFlH18B+qmIBP1XlFdjn83F1hblSd99yCEhzRCre2Z5xxxjQEdqzxX7Wdad8t2z8oNbSnjvgHwbwU3mXrY+vBuOVA6d7ssYa7lmJ16sw7KHBYnFphjHCT6K6X3ArictgOYSyBpSsotwTZLBLICxIRuFYuZKDCGiNv3scYY0V1S/u9zqGmznfcd2KRRX/729+SWDuuBRffYZxCFGEFkyeQgqRS9t3XqrTPD4jOu7hpYQEcU7AgJtX8zjvvXHt9ICAsBLIruKSde+65mVVNG7PoF+BblJmSOcz6gBWClfnnnz/RHbN0RUgUsii5UjdNtrt2Zc29NLdTDqWu1XyMfvQTZuQRZlnfi7Fn27LT3DZx9fGxT6vLxIkTU9dCkUXDaNVZV0P7t51kEZeo/kW5G28wb84wxyHUIdpdKSKL0ohnrBTJ+Fxk4fzVr37VHHXUUdNUq4gsavd6ZCvoJ3cqwibGGjWoZYgsaqjnfUWPSYqJse9Pmvd5UrVyOHAPHnm34KFNiaWI+ywzhxqCpeWZE0PabLbZZtMotLSpLlnELSqHvSzhIO266oTiV/R+v5JFWGrhl+8Sb4x3DhgcHMse6tkUCSyKmTdkE+lGY0vVw3+oYkL968wrTI8JUmyFWBauW2UZXLDow0Lp8ccfbz2O6wfkHnHBypJxEL8Ed6VfOHhm3a7XaaffjrL9Q/wQ8CBoLnElyrq5Mr5QnNyYankHkrL1cdvhB4fE7Y24H2XxzutbrCDdeHbus9wgQgiUtewpM4byngFD9jMURSu0kXWVDClZggLNWs9B2hVclNxg12nvxxhjddpd51BT5zvuOyFkERlVIT2wUE4bLxAYWKaUsaq1rkGMa1yPcNvkhryMsKYTE8zPtIalHbEM/eC/ZcrMewZLHrLHYlXJGgeBUiWANm5f4O6nuS6yQM6a22Q8woIua81k78R66LTTThvRLJKfkAQlT3wLAp5lLeRyrgquuD2ztkMKQrZlCe7muJ27Ar5HH310qfhF7EdYPLiWOv63fFdFxhz9WXZ9p7wYe7atF5cS6J+u6xAkN9/wLUjdtoAnB293n7G/iywaRqrOuhrav+0ki2gpGa655LeCtRkJdyCEs4Tfmcv+xTnPlyFE/PAnvMeey1xNu3TE+pn4gWTKRNATXQ+MIrKId9q9HvFNkUW5W0TUH0UWRYVzqLCzzz57GlN6NsjDDjus8td+9KMfTRNQj9scJmZsiaWIp7nfsbFCHnDrvdhiiyVVZyPmwMBBFB94y6BzQHMV3LpkEd/gsIxbjy8obygAWEG1S/qVLAI/FCAOjq6bAX+nr1FAUeJRstybUg40EEyYs3Nzyc0tsVCQpuKuVD38hyomtKXOvPryl79syGzhCtmKONwRE8wnBAi8uvDCC08zlK+99tqEMPVjg3DrTb/wG6ScS+jhBnD77bebm266KXHP4ibMKg70TzeQRW5QRSwuUYRIE8t8p22uewRm3+AAKXTyySePiO/D2sIYzLr9rzpe6AA/UC1/Q2HEOgFXHN9agD4tsu6wHZuWpcn+hrk6Y62dgosFZuvMZVe41MCNmrbZvkBJ51CMRQnKqStlrSLqzKUYeKQdarAcqHIoT6sHMZqyxCeLIFjS3EhxtcaSmXkLEQd5x/xNO6jyLVyW6Iey7j1+HBnmP/ONgzw338TMcmOhQbRwOCJINOQAe4MvZCYkpXRssWSRLZdLC8Yg85i6Mg/B0bqBoINAWnE446AEGe5LmYOSTxYRk5IYRwh7IC6jHP4WWGCB5G8cAiHr6E++7wqWUVyuFVkB4GKMtZcb54hy0GkYO1zasSe77ifoWMQBYs+lzVgHWut3iEX2nSzBGhCLGmJqusKhFytWxgR7vN2bwBZLQSymIPcZD6wFrpuZ/y3G5TbbbDPizxB/tIW12nd7oz6+lU+MPdutAH1E/7mCGx5WlBBoduyDD6QiOrvNvkscKjerFGWILBpGchDIIggaP5s1egBZzlgTrOUR85mxAiaunuKfh8qQReg8XOAy112BdGWNZM4wbxmznI+Ym9YbBDKJCwHGsZU862v7TLvXI74rsihzuY7+g8iiyJAy+XA/c28iOIyhwJVxP/Org1sDi4Ob+p3NH2WwauaZoqbGVMT9ILLut7mVBAuwcgOz8gwxnkjVysHPSghZBLEGy+4LN9/+YbwIn9Df+5ksAhs2HTYZX5l0ceOgQd+zmWF+nyWDThaBIcSHJc+Kxh7m8llWdNzM4obixpXyy0Ph5VDIodMNMOo/141kURo2jDEOTZBcPpFhn2cdQklCoc+SOmQR6xoWoa4Lcl7/VQlOS99goem7FNF3/C2NMCwaO6G/gyHWWlk424Cbvjm9/S5rPe7CZbIrxdyjqrQ77VBT5f2sZ/39z33OJ4tCvwchyqGeg28ZrO33fLIorR4QBOglkNKuC3ras5Cp3GI3IT5ZlPYNiCLGJGQGYzaLVONd9jPcN4qs9XyyiEswdCCsw11hzeHZrLnC3GYtL+tyDOnK2p6X/MSuhfRLXkDxIrKIdtAeiBvXnd/HmHHAuGav8Mc3v+WRRfQJB9m0C760vkwjyGOTRaxbkG5ZdaJN1Nsf95CyWG35errIouGeHASyiLGBHuGThhYF9BSbYdAf48QphOR2ifUyZBHloH9gLeiT0XnrLpcfEJ5YQ0KGWoHsImlKkbR7PRJZVNQj8X4XWRQPy6QkTIphha2wCHDDVMbHOasqsMMcPtyNnhsNN8BhjGbEVMQ5pGFFRMDSsoLSA7nDTZRrHh9CFoEZipd/k83NZxNuTnlt7XeyiLajCOLah4Kdp4Tn4YSSRZwXXLFiS9XDfwzFs+68guTBLN91I8vCI48ssooDigeWQnUFEpxDUBbpXbedbn3K9g831dzK1RWsIXAN89Ma++WVrY//HgcLbsj94KZp9a1CFvE+7nd+rBe+deqpp9aFI/g9YvGRQaWKYsqhHSWUGAllXVVjjLE6je1lsgjSmb119913r2UJBRHIulFEAhXhypzDRRHXrKYE621cgMqsmXl1gADgsMReVmThQzlpqbQZ3+hprgtK3jdZi7CYrLrvsc/i5kcw5iwSqghvAkv/+te/HpHZNOsdLnqwiGOPzyM7097nO2muNe6zkN6sZ8QGKpJ2kEXUgctfLEP9wL9Z9SP2JnsUumfZNOu2LJ8krmoxGrpG1tFTi/op6/dBIItoOxb3WH+nWS5mYYMbI8Q6FtF1yCLK5dxDCANwLpqrkFJ8C8Laj11EUhDflTir3u1cj0QW1Z151d8TWVQds8w30gJ+xspANGXKlMTixhUWAD9zWEhzQjeZtG9jbo4Sk3eIYJHi8MNiisQ4oLt1QfFwYwKUZeZDsEx7t84mXPWwGgO7GOOA/p48eXLikllkYYEyBRnKLQgZe3BvaEp6DU9uZxm7WG9w6EBp5UDgW2UVkUUWTywcWUuIZ5JnacTzHOA5wHBbz4HRzdCW1j8xxk2V/oGgIIYGN2EcLIqssBhnrDUEv0X5KrIWoI1V6uNjglk2ewKkPm4fzAPq6Gao452qZBFWpRB3rpTt/6bmFeVyg8p6j9k9LoxZyql1G8TCpSphH2OM1cGgm8kixjEELtYyuDRwuYJbIwdWAidXidmThQ2XP8wzxhk35KwjWZZibhlY0mA5hpsh+3uV2DN1+ol3GHe4nbLGUVcu67CYLBLWOyxIiJsF8VnFxTCLEGCuc+DDaoeYPWnC4QyXzbLEVFY7IGEg44i7xBpRdDhknODGRvZBSK2qlu+saeh2EIl5BBDY4J7G3k74hDJkGBaU7HmQZ6wluLCydrpxVMChXWQR34IsRaeB3M5qL5ad48ePT/6x+4vIouyZNyhkkd0fGTv848ajdNGBYEbfItan1YPrnBt8xNEdIXdZE0kqAXlFXCJcZHGZZb1zvTlYrwkPYoULKkinKtKO9UhkUZUeCXtWZFEYfnq7JAKYLXOgI9MTGz6ml1iQoJwRg6Up4RYMM2D3xo0beN8vvqnvq1yTuKVhacEGxQbCzQNuECjj3DZzsHFjXgiz9iBArB7+4faJfkGpZV4SV4PMVPxTlMmnPTUt/gpjCise3CRQhpj3HNSoP1YCxJiAkORmu9eFWAeHHHJIqxlkEOJw2E3COs8hnQOyVUwZV8QfYc0va0nUTW1SXYYRgKzGnYZLAQhsDvJY8TLfWEOIhwGhCRFSNk10U/hCmkDUsj5gtQJxhD4AccW+w/pA0FnmUVXCxNa5iBBgfcIqE8sU5gbjHxKPGEoQKbGFOYe+xfxjfadv2HMhFNG72HNj6V20DeIefPku1sUcRPkW6y5trEK8xcYidnkQWfQlB3CwhSSHpOUyhThgnR7vsdur8uIiwHxBH2bOMF9YS1mDWCshbrpBR2Heui60XHhBKNeVdq5Hdeuo9/IREFmkEdLXCHDTRpwGK9z8oDDqsNLX3a7GCYG+RADFEouAxx57rNU+Yq/lZR/rSyDUKCHQRQgUkUVdVFVVRQgIASGQiQCENhdrrkBw2+D8gm4wERBZNJj9PhCthsHntvCuu+5qtZc4BJh4SoSAEBACvYYA6eWJY2WFG0msJqoELO61Nqu+QqDbERBZ1O09pPoJASFQBgE/bAcWc1hBSQYbAZFFg93/fd16grW5MZ0wjcZFBRN5iRAQAkKglxDAqgiXDpf83n///c2kSZN6qRmqqxDoOwREFvVdl6pBQqCnEcANv6pb7Q9/+EODTuHKcccdlyRHkAw2AiKLBrv/+7b1d955ZxLcE19ZK/vss08SXE4iBISAEOglBLCSJGgqgXKtEB+GOCG41kqEgBDoHAIiizqHvb4sBITAtAiQsZBYlGTBJVFHXkIP4ooSLN7N5E2JxFHCLW3WWWcVxAOOgMiiAR8A/dB8btrJ0oIQvJLAgwSxdrO1EGyRg5Wsivqhx9UGIdDfCOBuRtBggqniZkZWNYKRuzJhwgQzceLE/gZCrRMCPYCAyKIe6CRVUQgMEAJ77LGHOf7445MW465OYgksk8eMGWPIUol+8fjjjyeJKAiGz4WUK5BLZJN8//vfP0CoqalZCIgs0tjoeQTKpDXm8EVKXIkQEAJCoNsR8FPC+vUl0xQZeaqamXd7u1U/IdCLCIgs6sVeU52FQP8i4JJFVVsJufS73/3ObLLJJlVf1fN9ioDIoj7t2EFqVh5ZRBrTQw891Hz9618fJEjUViEgBHoYgTyyiDTfF1xwgVl00UV7uIWquhDoHwREFvVPX6olQqAfEDj88MMT1zLXw6KoXZyXtt56a/P973/fLLvsskWP6/cBQkBk0QB1dr821SeLCGQ9duxYs9566yUppVdbbbV+bbraJQSEQB8i4JJFKHC40WJCjiJHDALWOIkQEALdgYDIou7oB9VCCAiBYQQIy8HF0tVXX21uueUW8+CDD5qnnnrKvPLKK8lD88wzj5l33nnNiiuumMR43XzzzZM4RRIh4CMgskhjQggIASEgBISAEBACQkAICAEhIASEgBAQAkKghYDIIg0GISAEhIAQEAJCQAgIASEgBISAEBACQkAICAGRRRoDQkAICAEhIASEgBAQAkJACAgBISAEhIAQEALTIiDLIo0KISAEhIAQEAJCQAgIASEgBISAEBACQkAICIEWAiKLNBiEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBEQWaQwIASEgBISAEBACQkAICAEhIASEgBAQAkJACEyLgCyLNCqEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBFoIiCzSYBACQkAICAEhIASEgBAQAkJACAgBISAEhIAQEFmkMSAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhMC0CsizSqBACQkAICAEhIASEgBAQAkJACAgBISAEhIAQaCEgskiDQQgIASEgBISAEBACQkAICAEhIASEgBAQAkJAZJHGgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBITAtAjIskijQggIASEgBISAEBACQkAICAEhIASEgBAQAkKghYDIIg0GISAEhIAQEAJCQAgIASEgBISAEBACQkAICAGRRRoDQkAICAEhIASEgBAQAkJACAgBISAEhIAQEALTIiDLIo0KISAEhIAQEAJCQAgIASEgBISAEBACQkAICIEWAiKLNBiEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBEQWaQwIASEgBISAEBACQkAICAEhIASEgBAQAkJACEyLgCyLNCqEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBFoIiCzSYBACQkAICAEhIASEgBAQAkJACAgBISAEhIAQEFmkMSAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhMC0CsizSqBAC9OoSoAAAIABJREFUQkAICAEhIASEgBAQAkJACAgBISAEhIAQaCEgskiDQQgIASEgBISAEBACQkAICAEhIASEgBAQAkJAZJHGgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBITAtAjIskijQggIASEgBISAEBACQkAICAEhIASEgBAQAkKghYDIIg0GISAEhIAQEAJCQAgIASEgBISAEBACQkAICAGRRRoDQkAICAEhIASEgBAQAkJACAgBISAEhIAQEALTIiDLIo0KISAEhIAQ6AoEdtllF3PiiScmdbn//vvNEkss0RX1UiWEgBAQAmUQmG666ZLH1l9/fXPppZeWeUXPCIGeQuCBBx4wSy65ZFLnz372s+ZXv/pVT9VflRUCQqAaAiKLquGlp4XACAS++c1vmsMOO6z1t0suucRssMEGPYcSdb7sssuSevdqG+qC/p///MccddRRyeurrLKK+dSnPlW3qNT33nrrLXPaaaeZU0891Vx33XXmqaeeMrPMMotZdNFFzcYbb2w+97nPmXe/+91RvmkPKlULy+rzV155xdx8883m+uuvNzfccEPy7zvvvNPQJmTq1KkGgieWdJoseuONN8zCCy9snnnmmaRJt956q3nve99bqXn08Qc+8IHknUUWWcQ89NBDZvrpp69Uhh4WAkIgHIG89XCOOeYw888/f7Lmf/KTnzTbbbedmXXWWYM/2iRZBPm04YYbJnUcRDLqz3/+s7npppuS9o8fP968613vCu4vCnjttdfMRRddZC6++OJkj77rrrvMc889Z2aeeWaz0EILJes542OzzTaLvpazxxx//PHmiiuuMP/617/MSy+9ZGabbbZk7+C7O+ywg/noRz9au50TJ040Bx10UOv9GORON5BFP/zhD83++++ftOvTn/60+cMf/lAZo49//OPmnHPOSd775S9/mehiEiEgBKZFQGSRRoUQqIkAB+bFF1/cPProo60SdtppJ3PSSSfVLLFzrw0yWdSk4oN1DIrMjTfemNm5KKQQjl/96leDB0Adsoh3qCdj2Zf55pvPPPvss5n16jeyiIbus88+5sc//nHS5v3228/84Ac/qNQve+21l/n5z3+evAOZ/P3vf7/S+3pYCAiBOAhUWQ+XWmop87vf/c68//3vD/q4yKIg+HJfbuIygT6HJHjxxRcLK7722mubU045JXWvLHzZe+Dtt99OyI4f/ehHhv/OEy6VqGdVcoyLHcjQ119/vVV8v5BFTz75ZHLh9uabb5qZZprJ/Pvf/zboK2XlscceM2PHjk0uviCJH3/8cTPXXHOVfV3PCYGBQkBk0UB1txobEwFuJLiZcIUbITahXtt0RBbFN6lG+VhzzTUTyxIEi5Xdd9/dvOc97zFYsFx99dUJsfjqq68mv0NQ7L333kFDlJvXMoKV029/+9vk0Q9/+MPmwgsvTH0N5fT5559v/bbYYosldadtSD+SRbfccotZeeWVk/aNGTPGPPLII2bUqFFlYE2Ucm6iuZVG7rnnHrPMMsuUelcPCQEhEBcBlyz605/+NKJw1jWsSH7961+bF154IfltnnnmSf629NJL166IyKLa0BW+2ARZdPjhh5tvfOMbybdHjx6dWPFAGC644ILJev73v/89GSOWTMI1+pprrkn2hhDhImLy5MmtIj7xiU8kVunoCRAhf/vb3xJrGWvF+6EPfSix/i5rpQoBte666yZ6xuyzz25efvnl5Fv9QhbRli233NJYnaeq/nTkkUear3/96wkmO+64Y9LHEiEgBNIREFmkkSEEaiKAxcjpp5+evI0SY/22e9GcVWRRfLJo3LhxyW0gAr5nnHGGmXPOOUeMtn/+859mo402SsgXLIzuuOMOww1308JtI+5lCDel1DVNUCxxkVtjjTXM6quvnrhtuAp7P5JF4EBbrTXYX/7yl8RNpYz8/ve/T9wVkPXWW6/l2lnmXT0jBIRAXARcsuidd95JLfzhhx9OXLvuu+++5PfPfOYzrXW7Tm1EFtVBrdw7TZFFrPEQB5tvvnnqxQAXPptssolhv0aoB3tfXXnwwQeTfR5CZ4YZZkhcoT72sY9NUxx7EO6GuKYhVfYiyBOsZHG3/NrXvma+853vJGX0E1l05plntvbmVVddNdeC2weXSzvbn7gfWvfOun2q94RAPyMgsqife1dtawyBp59+OvEpx8qCg+VZZ52VmMRyC4Q1CTdPvSQii+KSRViXMT44oBCfCDcvbirT5I9//KPZeuutk5923nnnVoDnpsYPsYcgfxBu0jHfpo5lZRDIop/97Gfmy1/+cgIJMax8q4QsrDhQnH/++cnPkMco5hIhIAQ6g0AZsoiaMWeZuwguKTZeTZ1aiyyqg1q5d5ogi+hr9sEiIbbQSiut1Boj6IBYkteR4447zuy5557Jq9tss00SzzBLcFUjPg9S1i0aMopYe5BMU6ZMSdzXdt1116SMfiKL0LdxJUPfQrgAs32U1y/o52uttVbyCIG6IYqruKzW6XO9IwR6GQGRRb3ce6p7xxAgILKNMYPP+Ve+8hWz6aabmvPOOy+pExYiK6ywQm79qig+3/3ud833vve9pLwmAlDHIIv++9//JgEi//rXv5prr73W3H333Um8G/zJMdmGRCOmEzjFkn/84x/m7LPPNldddVWCOebbEDTzzjuv4aZpiy22SJQjrHZ8cWMVFdWnKua4eG2//fZJsdQhzz2M20UsdlBasTyiDVXIm6K6+79/6UtfMr/4xS+SP0OI/OQnP6lURDeQRZjnM5ZwE0DR54ZxnXXWGdEO3PtOOOGEhMhF0Ue55yCIGwGuBrj8oWimCUHPcScj8OmMM86YxCVbYIEFcnHiGdz06E/6EQUW83+JEBACnUGgLFnEoZM5a12Cb7vtNrPiiitOU2ksETh8X3DBBcn8nnvuuc3yyy+fuLHstttuiZVIL5BFWFNh6YpbE2sjrrasdZAKWJJi5fLFL34xccuKIbj5sQ6zj2ItYwM5sz6yBmOFyfeykgm4e05efZoO+o1ORxwgpCwxkVbfQw891EyYMCH5qSiu3THHHGM+//nPJ8/y76OPPrqwS4hxhB7GpRDECC5WnSCL6Hf0H5sVEJ2ISxT2VFdInMHfeY59lHmIToQ7IJa62267bSaZc+CBB5ojjjgiKY6g58zPIvnCF76QBLRGDj744BEBwIve1e9CYBAREFk0iL2uNgcjwO0FSpZ7kMTlyLrzcBs0adKk3O/0G1mEOxXKYJFg6o3rk++SVfSe/zubvDWtznsX5RfFeLnllhvxWJNkEX1/wAEHJN/DvJ24CHkCkQbBhnDLnWaSXhWftOc5EECCQIYgkG24pFWRTpNFP/3pTxPzekgZrLfAyz/YkdkGMsneOKa1DwIRCyLiSKUJiq2N64QCiiKaJwQpR/FHKJPbY4kQEAKdQ6AsWUQNWUuwskS4fCCYsSvMZ4LXY02cJhAe7DM2CHETxEWMbGiUwV6d5ZZn28b+fPLJJ5d2wc3qZfCCVGPvyRP66lvf+lZyePelW8gispMR0wqBhGHfriNkP9tjjz2SVyFCcF/OElzIbJKFMnF5IF0ghiAuIWHY3+3f+Ea7LIvYe7kYtO7uXK5iIeXOScYEBFhRUhjmIta9aeQll5JWt4NgYg77ZJSLLd/EypuYZcR/wuqbSx6JEBAC2QiILNLoEAIVEXBTYxPLBD9yxN2EygTG7Tey6IMf/KC5/fbbE99vXPMw78WS44knnkisjLjdsiTFVltt1Yr3VBH+1uPcKKFE8V2sSpZddtlEKUUJwAwb8u7ee+9NnqcuECP8boW08Ny+Ycljb+6oO1ZivhBcEkWkrLjBE8uQRa4SCtFkU8KW/V7Z5yDpSMWLrLbaagaXtKrSSbKIw4TNLsaNPkSRr+hxg03gSyzdUAZRWD/ykY8kgUPpcwJ+cgiyVgSMSywDfCHot01ZDDlsld4svFBYGedI2mGzKs56XggIgTAEypJFrBWQI5bQYB8jpokVXIWJUWgJFtYT1hiyL+HCwmGcYPbsazyLdCtZhPUzayJWMux3tJN2kFUKiyP2RCyOEKyCWcus23Kd3gBT9AAO6KynrKVcWEBmYEUCoXHaaacl6zWSRohgjUTcIH6zF1JYhvjkAXs0e3UTghUrep1N+AAZkuVaXvR9CA10Eog0kiewj0Hg+cKeQ5BqgmvTVqya8lzmiH1If2Kl7F5YtpssYh/EuokLOYTLMhtM2raR8UZyjSuuuCL5E2QtVkSMDyyr0eG4rEFvQ973vvclwcYZS77Q54xThPnH3MwSVwdiPDLeJUJACOQjILJII0QIVEQAc2lrCoySY+PNUAy3RdwaIbgeYYKbJf1GFnG45gYoy48f/3nabIOCo5ByG1tXIO2IE4XimSZYnkAmWSUFN75vf/vb0zzqWhjFuHXjA9yU2Xg1RTFvOICgrNsMWoyhY489ti4sue+hnOEqiGBVg0taVekEWYSbCOmNcStDIAghhfxUuRw+cGWAlOQ3bvp9CwHeR5kFC9wvCADKGPDLol9Q6FFaEYg1CLY0QVG1hxRILBs4syq2el4ICIF4CJQli/JiFkEOcBHx1FNPJRXDbdfGM7M1hUjAEtESRfy9W8ki1jPalBfbhb2cfYsMWhBKds+o0zOs3bjtQR5kxYXBugMC66677koyybKOsy77UkVnqlPXvHdcwqXuRYtbPuELrLUquHDxSDgA9BnGGtnQiGUEicY+xNgqsgJGF+U5nseV0upi7SSLsJAmSzBu3xBhWOSlxe7D8tpa3+PCiT7iu9+zB5OpzrqZ8d+48PmCXmAthMkqx76fJRBENvsrZJRNSBF7vKg8IdBPCIgs6qfeVFsaR8B14yEuDrdL3L5Z4ZbEEiCu1VFaxaooPr0Qs6gM+NyQoQyhhLbLVQel/fLLL0/SIVtLI7euTZBFKL82qxk3YXwjK/4DpKJ7E8YNNjF5Ygt1oE426DZj17pMVPlWu8kiLIAw1YccQjbbbLMEnzRSElN34okh3Bhay6C09rmWQyigNn2y+6w77/LiO7kkMYqtdUGsgqueFQJCIC4CZcgiiAkO6XZv8LOh2axS1IyDpXVN9WvKnoa1DtY5SLeSRWURxsXbuoTRJi5mmhQshqx1TZa1ZxWdKWZdn3nmmcTVGStpxL8krPstyCAus6wFjl8OcfIOOeSQhIgsctt3E2VgPQY5Z6VdZBHfRX9hLrA/s0+zX/sCjsQORJ/GKhy9OS/ANNZVV155ZWIZjvWUTypxEYleyb8hqLgEwgrMF8Yx3+UiEQstdKC0eJZ1+1PvCYF+RUBkUb/2rNrVCAK/+c1vWi4rWBj9/Oc/H/EdDuLLLLNMEsAxb9PipSqKT7+QRbSbLBT4+2MBQtynpgUSwMYM4sbOdydrgiyiTbgqEDsHwYoFUsi/LcXChYOKG1uHeEU2o1ZMbFzlH1c0XLHqSDvJIm6ZiXHFLSvCDSU3lcwtX5h7KNco9mXcxnjfximhD9LibXELzy2ttf7CfcAlhykD1zYUVYJ5Ui8U0rruCXX6Q+8IASGQjoB7APUzGjJfcYHCCtS6FnEY5W/s4Vbc5A9Ys+a5ZLHPWNK518ki19oqFjmSN06xzrIkQBYxX0VnijUnsOxhT7b7Q5HlSpXvUjYJOnB9x80uTdh/yIJGvKwswSoZ9zOIFIgl9FRX2kEWMY+4AKRNWOlyuYMFcJq4BGyR2xjvu0G+ibnF3PIF66SpU6cmf8aiHMx8mThxYiuYNXgS/1AiBIRAMQIii4ox0hNCoIWAG8Q5K8ChS+zkxZ+povj0ClnEzQ43rzYDFeQMt0xpwTSxarGuV3WHGOWSCQtllrgG3BJjvYTpe5rcdNNNZuWVVx7xU1NkEa5IKEscShBuZlFouH3GXx8C5MQTT0zIBhRCrJEQUjife+65dSFJfY+bNL5hFVJIrLQYCWU+2i6yCDdFYknZ7DME+sRqJ+sGkjgjNpsObSPbWZFwqwthxy0kinaauGbr3JRyc+oKt+A777xz8qeYB4miuut3ISAE8hGokg578cUXT+LcuQdc9hcsOtjDIJLYr/LKhGgigxPS7WQRdeXCAD0Gqyr2zazg3VhrklQgRCDR2e8gXdgbcRW2ceP8crNct6voTCF1dd91rUbZQ8ENq/JQYb8nTAEXZow9LnOwBuLCg3HG/odlF+5kCPWANEkbfwS0hhCiXmDrWzE3TRZhdcVeynwhhiBEI+7YWbLNNtskOhtCm4oyjRK3yFq5kcmVbGa+uK7g1Mfi5j4HCUyMMSTPrTy0b/W+EOg3BEQW9VuPqj2NIcDmjisTGyIZtvCvTxOsingO4baHQ2yaVFF8eoEsQrnhVstmlCnqCIIPZ5E6Re/yO9/BfctmESvzDu5omDS70hRZxDdQxFGMMIvOEhREcLN+/WTUIwhjTMEly5qlo/CiMFU5SLl1aRdZZIOV8+3JkycbXMzyhBtarJDqCNlTsg5KkJ/0D4JJPd9xxSWQy9yS1qmf3hECQqA6AnlrHG4yWJlyeYDLOOsuqdxdgdCwAYXLxKnBQqnbs6FxUUH8NwiEshKaXpw4T5AJWeSQXw/WVGuVm7X3oI/hUtSk7Lvvvq1U7Fihoj9Y9/KQ73IxwbgjuQa6InpCWgIN8CJmFIGdEYJ603euEA/KZk8lXiYXUr40SRa5+zQkDUQRWOUJhCqkWx0hwYXNOuq/D0Fl9XL0Qkvc8hx9Zy2Syloe16mf3hEC/YiAyKJ+7FW1qREECI6M/ziCOeuECRMyv2N9rHkAC5I0c9x+Iou4mUT5wUoGISAoASv5N0oQfuFWcSejlSXQitL3ZgGMwrvqqqu2ysHsGaKAjBm4ABEnCDIK4bbYpqblVhO3AleaJIv4DrfSBGAka94tt9yS3KhyoCBYJWMAIoKUsjYDGqQI5EhMIdaGxYAxTB/UlXaRRRzcwA4pc1hxXUTrtC1rLBJXgUxq3PaSwYcbchtU3Y0DxW0upGBe2t469dI7QkAI1EOgTMyivJKZz2PHjk0eIYC9zdyU9Q4uOHb+d6tlEdaaWHMguNSyT3OoxvIVAs3WH8uMgw46KHkOqxcurOqIS7bzPjFqwAaiBzdjN2aMjd2XhV0VnalOXd13yLZqAyuz3uP+xCVhDMHNjoDOSFGQZfRHm6QBq+Q77rijVQX2R6xp2YeyXKl5uEmyyN2nuYhCx8JSKk/QC9PiR5bBNm8s0l/0G+KHibDWV/wWw1KuTF31jBDoFwREFvVLT6odjSLgu/FU+diee+7ZUs7c96ooPihtEFRIGuFRpT5pz7pxGeqUj6+6zVRFzAZuf7Judd1bpbpkkev6Q2wg4lGkZU+hrbgv4cOehV3TZFGZvnHJHKyKuOWOJc8++2xCdhATAgKNODwhwUrbRRadc845yS2pdQ8rOrBAxuG+gKAwHnbYYbEgTOJF2PhkbgBrMuzZQxS30JB+EiEgBLoDgVCyqN8si9wYbOwB7PVufCa311xLzaK1N6+3sZzB2hqinTWaTFlpAvFh9/BOk0VcBNqsW1wCQBRB1MQSyBTrEk7WMD8Tp/sddCRINVz8EazX+H/E3fPYl61Fu19P3Lhspj4u2bbaaqvkEeqx0047VW6WrzNx+UV2NwQSkHGVZ/VFHQgJwPyk37nciyHoCpC7kLZuAGu+wSUiGEKQYpWeh3mMuqgMIdBPCIgs6qfeVFsaQ8B146n6ETZ2Ahj72ZvcGz5MZ/NurbglOfroo5NP1yFziuocShbhp47FBYoVbbVWPWnf5RmbhrguWUSMGAgjBJ9/G6sm7Xuuf3wnLIuKsMdKCrNtMEF5QqG3t9lF75b5HRcAAmgi3CJDwoRIu8gi3AwguHBJsK6NWERZ6z6/DcQgsMFnY8cOcsvG1J24EIxdlHMba4qbeMzwJUJACHQHAqFkUdWYRe460Y2WRW6KcfYFLFyyBMsX+3tdssh1ySetu41Tk/ZNN+ZcJ8ki14Icq2h0hjz9os5Ix3oLQgPB/bnIGtUmYuB59kJr2epnUq1al7pjNO2CjYDS1iIafRDcslz22J9tdtPYsYPcsrEqJ7uha1nVVLbZqtjreSHQSwiILOql3lJdO4aAa/nB5pMXvM9WEoLJZnEiU4R/g+OaOV988cWJb3qW2JsYfu9GsghTcpSeNddcM/G/zxJXmeaZumQR8XfAF8Gv30+lar8P2cANKrd3Wdhxw2fNpiGhCMLZTsE9jPGF0C7Sz8YUd+zEyGrTTrKI28l77rknmRsEL0ewXLO3vi5OxL/itpCbV0zjeZ54CrEEt8Gbb745KY55zbizQcI/8IEPtOJKxPqeyhECQiAMgVCyiK+z9mBZghBnZfXVV8+slOsGU/cgntdi6mH1hDrlY21p472QRIFkClniHrrrkkWuCxUxi2xW0rRvuq7YWW1zM15BROH2FFNcS1GCRaNrEd8mtrBPYfGLED8wLw4S+wz7GJdKCG7R1nWvm8gi6kYfH3nkkUk9ufACvzRrJyy9sfhGsOKyVvMxcHYxsfoU44mYRQiXZVyaSYSAECiPgMii8ljpyQFFwHXjYZPGcsYGvcyDxE09m+ZPDoFkgxrnWUy4CiLf60ayCMWKmC5ktXjiiScyXdAIJEr2Mit1ySLMqG0q5DyLDm663BSqadjRv9Ykuej2M/YUgNgg1hPWREhIlrK0upEhzh5u6BsIlKJbzKI2tpssoj4o1BySsF5DDjjggFY8Cbe+rrvY+PHjW8FJi9pU5nc33S9BRlHirXVbVoaWMuXqGSEgBJpBIAZZ5M77tLTktubE68NVyboX1SFzilAIJYvctpA2PCsdO6QYFz+43yN1ySJi9Nnso3kWHWQMxSrTJoLIwg4LWSyikCKL4iIs/d9xnbex/NDv2Iu5aGlCXEvuohiCXF6x5yJ1AzM3GbMIHdYNlu668GERhc5FjCJX6GfcH7nMgwhjnGCNFEOw2OK7BA/Hwt1exKJr8nd0LVwiJUJACJRHQGRReaz05IAi4LrxVCETsHTAqgU/apRWAvq5N0iQTty+8Bw+3xzs/Zsy0oaTutvNptWNZJFr6ZOWuQqlEyXCv1msSxa5N6QExcRixnd9g0wi9g8KiZUs7MAf4oZbMCxZ6mYKc6cIZAJKEEp3mnCowEXOZnMjNe6xxx6bOcuwsrGkUtkx4AbSjBVTpxNkEaDg7gVhZDGABLSxqCxokGEEOYe4RIgnxAEgSznkkIKiS9ZCYl/liUsa41qKUsoBkXgLzOWYVkwDutSq2UIgKgIxyCL2BQ671nWa2GW4hbuCVe2OO+5o/vCHP7T+3I1kkWvpw36CzuFffKFzsJ9b0osG1SWLwIWLGGLFcElx5ZVXGqwwXWENRq+68MILC7GbMmWKYR9DIFGwBI4hrkUYugAZxqxLc9XyXWImawyQ1cymf8cqmthDNqOZ+z0ssdH/7H7GfudefpWtWzvJIurkuvIRLxHCZrnllhtRXdcKCUv9008/PdmHs4SMcDxjLZfy2k6yEBs/EJc99mckyyq5LI56TggMKgIiiwa159Xu0gi4bjxs6ljHlBXXjzvNesg9eKNUoYRy2OUQetVVV5mTTz45IUE4yJ5xxhnJZ8sSBWXryHPuTRdKb1E2C1u2NR/GtNcNXIkJO8oP1iwc8gnazE0gygCHa5QgpC5ZhPUSN1M26CM3btSb26lnnnkm8YfHzB53JEztUTLysENZtQEguQHFcgml0R42UHCxnqoiuL7Rfm5MUb75NyQDf6dv+Z7NHodCyNjKC/RYlSyCJENRsopmnZg6KHn84wqWYZBgCP3sm+kT7Lyue0BR0HeIIggjGycozXoIRZ96WZIQ3OhT8CeAKmMGFwZIOuYSBxoshBg/RbLtttuOOBDy/A477JDMU4kQEALdhUAMsogWsVazhtj9ivWaSwr2bNaSqVOnmrvvvjvZN+w+0jRZxF5XNjgx7rLWZZbLC3tBQfxArCQ5rLMOQuaQVZK1EyIG62ekLlnEu1iBTpo0KSmH4MK4kkHEsNexj0BksJ+738vCDh3C7jdjxoxJMohCQlhrWfZon4wqGpFc0Ljp6CEUypSx2mqrpVrDlCGLuGggux4ECIKOx56FnoDOQGB19ibIR+t+xvfQG7Jc7vPa2W6yiLqQwZRxgxBcmva44RvAAJ3RhhPgQoeMtuiiEExcoqIr0ecQiez5XOaVyaJGxri0+IHMUd/KqWh86HchIASMEVmkUSAEchAgY4M1RSbYIcEFq7jxuO9jRURgQNcCBqUAIsiSJ35VICwgWlAq8KdHmiaLqgwIl+xxM7allQFRBOEFmXDZZZclj9Qli3gXQojDOxY8aVIFO5TWtdZaq0Xe+OXVwdySRXl4oiBBEKJMFymBVckiN2XxBz/4wVb8rCr9i2WOHXdl36uDlS27iCziOVzRIIxwTUNwTbCZWGw51113XUL+oBwWCa6lxDnIi99hyyCelB/vILbrYFF99bsQEALlEIhFFvE1SAUsNSFV0gSCA8KffQdpmiwqh8DQUy7ZA7kFcWQtNP1y0E846JPi3sZHCiGLIJ4gAVzLIf+bZLFEz7FJQPKwgyDLIufrYO7uOVUwhSC07mHue2XIIp7HUpU9ikutIkFHhMSD3KsjnSCLqCexBbEoRyD3uHhyrYcgwojdiXukDfid174q/YvOY8k4ylx33XVbcYvqYKh3hMAgIyCyaJB7X20vRGDvvfc2+PYj/DebWlXhJozbEYTDJrdHrhCwkMwjZG4gKxqbJsQSCtY+++yT3F65h/aQw3hW3V3Loirt88keFELc9ghyjUULN33c5HAry+0dt4nut0LIIuoJXhAtfBdTYyyJLHaQMLgBlsUOYgEXOgIhYoKP1Y+tXx3MuRnDool3UVqoH1ZPuCtRR8YBim+e6bXbF1XJIm6/rYJ+zDHHmD333LNK1ybPdiNZRL1wN+Mgg8sgQuwNxp17OLT4c4ADf2IYQCzOOeecieUfYGeDAAAgAElEQVQcsTQ+/OEPJ/OsTAwyvoM7Jf1gYyfx3xy+YrgtVu4cvSAEhEAuAjHJIj5EFkT2CKwXcS/HUhRrCQ79XIJA/ttvVjnYlu1GP35h2fd8soe9mXZAkkO6QxBhhUqd2aexrHG/FUIWUUfW4uOPPz6x4ORiBp0H8oCLOPZA9AOkDHaswWR14zIEa1naYq1v6mDeKbLI9h36AUQQexT7CpavkGbE18EKjDhZ7OUhe0ynyCLaiNsYLmcIZBeXK352OS5RGR9ggeUQRNqoUaMSKyvmFxd5XNJkufSnzQPfYiyL3Cs7h/ScEBhkBEQWDXLvq+1CQAgIASEgBISAEBACQkAICAEhIASEgBDwEBBZpCEhBISAEBACQkAICAEhIASEgBAQAkJACAgBIdBCQGSRBoMQEAJCQAgIASEgBISAEBACQkAICAEhIASEgMgijQEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIgWkRkGWRRoUQ6FEEyLZFqtu6QuBAN5Vp3XL0nhAQAkJACAgBIZCOAPs0+3VdIVuYRAgIASEgBIRAJxAQWdQJ1PVNIRABgbqZUeynQzOcRGiCihACQkAICAEh0NcI1M02akEJzRra1+CqcUJACAgBIdAoAiKLGoVXhQuB5hAQWdQctipZCAgBISAEhEAMBEQWxUBRZQgBISAEhEAnEBBZ1AnU9U0hIASEgBAQAkJACAgBISAEhIAQEAJCQAh0KQIii7q0Y1QtISAEhIAQEAJCQAgIASEgBISAEBACQkAIdAIBkUWdQF3fFAJCQAgIASEgBISAEBACQkAICAEhIASEQJciILKoSztG1RICQkAICAEhIASEgBAQAkJACAgBISAEhEAnEBBZ1AnU9U0hIASEgBAQAkJACAgBISAEhIAQEAJCQAh0KQIii7q0Y1QtISAEhIAQEAJCQAgIASEgBISAEBACQkAIdAIBkUWdQF3fFAJCQAgIASEgBISAEBACQkAICAEhIASEQJciILKoSztG1RICQkAICAEh0IsIvPPOO+btt9+OXvXpp5/eTDfddNHLVYFCQAgIASEgBAYRAe3Xg9jr1dossqgaXnpaCAgBISAEhIAQyEHgrbfeMqNGjYqO0X//+18zwwwzRC9XBQoBISAEhIAQGEQEtF8PYq9Xa7PIomp46ekUBBZbbDHhEgmBV155Jbik+eabL6iMV199Neh9Xl5kkUWCyrjmmmuC3uflsWPHBpcR2h+hfUEDYvRHMBB9UsCss87a8ZbE6M+nn3664+3ImxtSPjvePZkVWGuttYIrF2NdC63ETDPNFFTEG2+8EfR+rJdD27HUUksFV+X1118PKiMGlptuumlQHXg5dF189NFHg+sQiuUDDzwQXIeNNtoouIy//OUvQWW89tprQe/z8swzzxxcRmh/xKjDnHPOGdSO+eefP+h9Xv7JT36SWYb262B4+74AkUV938XNN1BkUTyMQ8kJahKqyMc4zIosGhoToX1BGTH6I94I7e2SRBbF67+yZBGHhhBrIBTZWWaZJam4LIvC+09k0RCGMQiO8N4wRmTREIoii4ZwEFk0PKtiEDUii4bwLEsWab+Osar3Xxkii/qvT9veIpFF8SAXWTSEpSyLhseUyKJ480tkUTwsy5JFHMpDySJ7oBZZFN5/IotEFvmjKPRAHYN4E1kkssgflyKLhhBpp2WR9uvwPbYfSxBZ1I+92uY2iSyKB7jIIpFF/mgSWRRvfoksioelyKJ4WLazJJFFIotEFqXPOLmhDeMiN7QhLGIQVr3khiayqJ27ce98S2RR7/RV19ZUZFG8rhFZJLJIZFG8+eSXJLIoHrZlySKsFkIti6zCLsui8P4TWSSySGSRyKKilURk0WCSRdqvi2bGYP4usmgw+z1qq0UWxYNTZJHIIpFF8eaTyKLmsCxLFikGQnN9UKdkkUUii0QWiSwqWjtEFg0mWaT9umhmDObvIosGs9+jtlpkUTw4RRaJLBJZFG8+iSxqDkuRRc1h22TJIotEFoksEllUtMaILBJZVDRG0n5XQoo6qHX/OyKLur+Pur6GIovidZHIIpFFIovizSeRRc1hWZYsIuZWqBuadR+UG1p4f4osElkkskhkUdFKIrJoMMki7ddFM2MwfxdZNJj9HrXVIoviwSmySGSRyKJ480lkUXNYliWLeC6ULJptttmShogsCu9PkUUii0QWiSwqWklEFg0mWaT9umhmDObvIosGs9+jtlpkUTw4RRaJLBJZFG8+iSxqDsuyZNHLL78cTBbNPvvsIosidaXIIpFFIotEFhUtJyKLBpMs0n5dNDMG83eRRYPZ71FbLbIoHpwii0QWiSyKN59EFjWHpcii5rBtsmSRRSKLRBaJLCpaY0QWiSwqGiNpvxOzSJc7dZDr7ndEFnV3//RE7UQWxesmkUUii0QWxZtPIouaw7IsWfTSSy8FWxbNMcccSUPkhhbenyKLRBaJLBJZVLSSiCwaTLJI+3XRzBjM30UWDWa/R221yKJ4cIosElkksijefBJZ1ByWZcmiF198MZgsmnPOOUUWRepKkUUii0QWiSwqWk5EFg0mWaT9umhmDObvIosGs9+jtlpkUTw4RRaJLBJZFG8+iSxqDkuRRc1h22TJIotEFoksEllUtMaILBJZVDRG0n7HDU2XO3WQ6+53RBZ1d//0RO1EFsXrJpFFIotEFsWbTyKLmsOyLFn0wgsvBFsWzTXXXElD5IYW3p8ii0QWiSwSWVS0kogsGkyySPt10cwYzN9FFg1mv0dttciieHCKLBJZJLIo3nwSWdQclmXJoueffz6YLJp77rlFFkXqSpFFIotEFoksKlpORBYNJlmk/bpoZgzm7yKLBrPfo7a6G8iip59+OrhN888/f3AZ3VBAKOE022yzBTdj1llnDSrj4YcfDnqfl/ulP0OBCB0PfD/GmAhtR7+8H6M/nnnmmSA4xo4dG/Q+Lz/00EOZZWCKPmrUqOR3KZ/BUEctYPPNN49a3iAXNtNMMwU3f/nllw8qwxKpIYW8/vrrIa+b0Dbw8cceeyyoDnatCSlkuummC3k9efepp54KKsMG8w8pxFpihpQR+u4tt9wSWoR55513gssgBk+IzDfffCGvJ++GlkHQ6VA55phjMovQfh2Kbv+/L7Ko//u48RaKLGoc4kofCD2MxiAGRBZV6rJGHw4dD1QuxphotJE9VHiM/uglsug///lPsGXRu971rqSH5YYWPtBFFoVjaEsQWTSEhMii4TElsmgIC5FFw2Oil8gi7dfx9od+KklkUT/1ZofaIrKoQ8BnfDb0MBqDGBBZ1D1jInQ8iCyK25cx+qOXyKLnnnsumCyaZ555RBZFGoYiiyIB+b9iRBaJLPJHk8gikUX+mOglskj7dbz9oZ9KElnUT73ZobaILOoQ8CKLcoGXG9oQPDHIiRgEYnfNks7VJkZ/9BJZ9OyzzwaTRfPOO6/IokhDVmRRJCBFFrWAlGXR8JgSWSSyqJfJIu3X8faHfipJZFE/9WaH2iKyqEPAiywSWVRi6MUgJ0QWlQC65CMx+kNkUUmw9dg0CIgsijcoZFk0hKXIIpFF/qySG9owIr1kWSSyKN7+0E8liSzqp97sUFtEFnUIeJFFIotKDL0Y5ITIohJAl3wkRn/0EllEXWeYYYaS6Ez7GME3rbKtmEW1YWy9KLIoHENbgsgikUX+aJJl0RAiIot6kyzSfh1vf+inkkQW9VNvdqgtIos6BLzIIpFFJYZeDHJCZFEJoEs+EqM/eoksIlNlKFlkXUpFFpUcZDmPiSwKx1Bk0UgMZVk0jIfIIpFF/grTS5ZF2q/j7Q/9VJLIon7qzQ61RWRRh4AXWSSyqMTQi0FOiCwqAXTJR2L0h8iikmDrsWkQEFkUb1DIsmgIS5FFIov8WSXLomFERBbFW3NVUmcQEFnUGdz76qsii7qrO0MPozGIAWVD654xEToeaEmMMdE9iHS2JjH6o5fIIm7aQy2LFlhggaTTZFkUPnZFFoVjaEsQWSSyyB9NsiwaQkRkUW+SRdqv4+0P/VSSyKJ+6s0OtUVkUYeAz/hs6GE0BjEgsqh7xkToeBBZFLcvY/RHL5FFTz75ZDBZNHr0aJFFkYahyKJIQP6vGJFFIotEFqXPJ5FFvUkWab+Otz/0U0kii/qpNzvUFpFFHQJeZFEu8DbOSXf1TvtrE4OciEEgtr/l3fnFGP0hsqg7+7YXaiWyKF4viSwSWSSySGRR0YrSS25oIouKenMwfxdZNJj9HrXVIouiwhlcWOhhNAYxIMui4G6MVkDoeKAiMcZEtAb1eEEx+qOXyKInnngi2LJozJgxSa/LDS188IssCsfQliCySGSRyCKRRUUrSi+RRdqvi3pzMH8XWTSY/R611SKLosIZXFjoYTQGMSCyKLgboxUQOh5EFkXriqSgGP3RS2TR448/HkwWLbjggiKLIg1DkUWRgPxfMSKLRBaJLBJZVLSi9BJZpP26qDcH83eRRYPZ71FbLbIoKpzBhYUeRkUWBXdBVxUQOh5EFsXtzhj90Utk0WOPPRZMFi200EIiiyINQ5FFkYAUWdQCUtnQhseUAlwPYaGYRcNjopfIIu3X8faHfipJZFE/9WaH2iKyqEPAZ3w29DAqsqi7+jO0NqHjQWRRaA+MfD9Gf4gsitsng1SayKJ4vS3LoiEsRRaJLPJnlcgikUVyG4+313S6JJFFne6BPvi+yKLu6sTQw6jIou7qz9DahI4HkUWhPTDYZNG///3vYMuihRdeOAFRymf4WBRZFI6hLUFkkcgifzTJsmgIEZFFvUkWab+Otz/0U0kii/qpNzvUlm4gizrUdH02A4HQmEUxgA21vqAOoWWMHTs2uClPP/10UBkxyL+gCvz/y91Sjxht6fUyYszPu+66KxOGt956y4waNSr5/dFHHw0mixZZZJGkLJFF4SNPZFE4hraEGBk3P/WpTwVV6Nprrw16n5dDx8Taa68dXIeDDz44uIxQ8u6ll14KrsMWW2wRVEaoyxIfP+GEE4LqwMsrrbRSUBnvvPNO0Pu8fN555wWXETom2L86LS+++GJwFS677DLt18EoDm4BIosGt++jtVxkUTQo+6agGIfRUDBCiR6+H1qGyKLhXhRZFDqi470fY36KLIrXH+0sKZQYaGddu/1bIouGekhk0fBIFVk0hIXIonirl8iieFiqpHoIiCyqh5vechAQWaTh4CMQ4zAaimoo0SOyKLQHRr4vsiguniGlxZifZcmiRx55JNiyaNFFF02aK8uikF4feldkUTiGtgSRRUNIiCwaHlMii4awEFkUb51pJ1mk/Tpev/VTSSKL+qk3O9QWkUUdAr6LPxvjMBraPJFFQwh2C0nTLfUIHVf98H6M+VmWLHr44YeDySJroSeyKHz0iSwKx1Bk0UgMRRaJLPJnlciieOtMO8ki7dfx+q2fShJZ1E+92aG2iCzqEPBd/NkYh9HQ5oksElkUOob69f0Y81NkUW+ODpFF8fpNlkVDWIosElkksijeuuKXJLKoOWxVcjkERBaVw0lP5SAgskjDw0cgxmE0FFWRRSKLQsdQv74fY36WJYseeuihYMsiu8fIsih8RIosCsfQliCySGSRP5rkhjaEiCyL4q0z7SSLtF/H67d+KklkUT/1ZofaIrKoQ8B38WdjHEZDmyeySGRR6Bjq1/djzM+yZNGDDz4YTBYtvvjiSVeILAofkSKLwjEUWTQSQ1kWDeMhskhkUbwVZqikdpJF2q9j915/lCeyqD/6saOtEFnUUfi78uMxDqOhDRNZJLIodAz16/sx5mdZsuiBBx4IJouWWGIJkUWRBqPIokhA/q8YWRYNYSmySGSRP6tkWRRvnWknWaT9Ol6/9VNJIov6qTc71BaRRR0Cvos/G+MwGto8kUUii0LHUL++H2N+iizqzdEhsihev4ksElnkjyZZFg0hIrIo3jojsigeliqpHgIii+rhprccBEQWaTj4CMQ4jIaiKrJIZFHoGOrX92PMz7Jk0f333x9sWbTkkksmXSE3tPARKbIoHENbgsgikUUii9Lnk8iieOtMO8ki7dfx+q2fShJZ1E+92aG2iCzqEPBd/NkYh9HQ5oksElkUOob69f0Y87MsWfSvf/0rmCxaaqmlRBZFGowiiyIB+b9iRBaJLBJZJLIo3oqSXlI7ySLt1033Zm+WL7KoN/utq2otsqiruqMrKhPjMBraEJFFIotCx1C/vh9jfoos6s3RIbIoXr+JLBJZJLJIZFG8FUVkUdNYqvx6CIgsqoeb3nIQEFmk4eAjEOMwGoqqyCKRRaFjqF/fjzE/y5JF9913X7Bl0dJLL510RWw3tGeffdaceeaZ5qKLLjI33HCDIRPMG2+8kViMrLLKKmbcuHFm++23z63/yy+/bKZMmWJOO+00w60s7hfUd+uttzb77ruvmX322btqGIksitcdIotEFoksElkUb0XpPFnUzft10zir/GwERBZpdAQjILIoGMK+KyDGYTQUFJFFIotCx1C/vh9jfpYli+69995gsmiZZZZphCyaccYZEwLKyswzz2xmmmmmEamK11xzTXPWWWeluhw9/PDDZsMNNzQo2Mgss8yS/Pu1115L/g1pdMkll5ixY8d2zVASWRSvK0QWiSwSWSSyKN6K0nmyqJv366ZxVvkiizQGGkRAZFGD4PZo0TEOo6FNF1kksih0DPXr+zHmZz+QRdNNN51ZY401zC677GI23nhjY0mpxx57zEyePDn55+233zbrr7++ufTSS0cMh7feeit596abbjJjxowxU6dONZtssknyzLnnnmt23XVX8+STTyYWStdff30QYRZzHIosioemyCKRRSKLRBbFW1FEFjWNpcqvh4Asi+rhprccBEQWaTj4CMQ4jIaiKrJIZFHoGOrX92PMz7Jk0T333BNElEDKLLvssklXxHZDu/jii81GG22U2c2HHnqomTBhQvL7lVdeadZZZ53Ws5BDu+22W/L/l19+uVl33XVHlHPFFVeY9dZbL/kbz0JIdYOILIrXCyKLhrBce+21g0E9+OCDg8vAKjBEXnrppZDXk3e32GKLoDLmm2++oPd5+YQTTgguY6WVVgoqQ9nQguAb8XI7A1x3834dD1GVVBUBkUVVEdPz0yAgskiDwkcgxmE0FFWRRUMIzjbbbKFQRnm/W+oRpTE9XkiM+VmWLLr77ruDyaJ3v/vdCeKxyaKibnzqqafM6NGjk8eISzR+/PjWK1gbQRKlWR3ZhyCLII022GCDxB2tG0RkUbxeEFk0hKXIouExJbJoCAuRRfHWmXaSRb28X8dDXCX5CIgs0pgIRkBkUTCErQJeeeWV4MK64VAeehiN0YYYWIaWEaMdoWXEIM1CcQge1P8rIBSHGHXolzJC5yc4lCWLeG6GGWaoDR2WRcstt1zyfrvJIpT0ueaaK/n2pEmTzP7775/896uvvmrmmGOOxEXtiCOOMAcccEBq+/jtwAMPTNpPWTFwrw3k/78YgywKteAIbQPvE4g8RGIQPTFwwE0xRF5//fWQ15N33/Oe9wSVcccddwS9z8vTTz99cBm4koZIyDplv3vBBReEVMHgGhsqkNyhEmpZFMNK69RTTw1thrEXDXULImlBqISuVXPOOWdoFcxvf/vbzDLYY0eNGpX83sv7dTBIKiATAZFFGhzBCIgsCoawVUCMQ3k3HKpDD0Ux2hADy9AyYrQjtAyRRfHmZ7+UFDo/rVKZhUe/KJ9//vOfzZZbbpk087zzzkviGiE33nijWX311ZP/Pvvss81mm22WCgW/WXKGd1ZdddWODyGRRUNdILJoeCiKLBrCQmTR8JgQWTSEhciialtWJy93qtVUT1dBQGRRFbT0bCoCIoviDYxQcoKahJILMVoTehiN0YYYWIaWEaMdoWWILIoxovurjND5CRplLYvuvPPOoEMYyufyyy+fdABWFHkHuhiHPdvT3AZD7mA1QVazf/7zn4bsaciZZ55pPvnJTyb/ffPNN5usgxW/WcsRMqp9/OMf7/hAElk01AUii4aHosiiISxirB+yLBrCUpZFw/OrlyyLYu7X7bYE7vjm2scVEFnUx53brqaJLIqHdCg5QU1CyYUYrQk9jMZoQwwsQ8uI0Y7QMkQWxRjR/VVG6PwEjbJkESRLyCEMsmiFFVYo1QEx4mTYD+25557muOOOS9xCyG7muriccsopZocddkgeJSCozaLmV5LfrBsE74wbN65UO5p8SGTRELoii4ZHmciiISxC1imLpsiiISREFg3Pr14ii2Lu1yKLmtzJ21u2yKL24t2XXxNZFK9bQ8kJahJKLsRoTehhNEYbYmAZWkaMdoSWIbIoxojurzJC5ydo9DNZNHHiRHPQQQclnU6WJvvfdhTUIYuIGbHddtt1fCCJLBJZ5A9CkUUii/wxITe0IUQGzQ1NZFHHt+iurIDIoq7slt6qlMiieP0VSk6ILBruixhYhpYRSvTE6E+RRfHmZ7+U1E6yCDeukBt7LIvsYbYdbmiHH364+cY3vpF09de+9jVz5JFHTtPtckMLS1EeYx6F3tbLsmi4F0QWiSwSWZS+Kg0aWRRzv5ZlUYydrjvKEFnUHf3Q07UQWRSv+0LJiRjkQozWhB5GY5AsMbAMLSNGO0LLEFkUY0T3Vxmh8xM0yloW3X777cFk0Yorrph0QNPKp2tRROYzMqCliRvg+pxzzjGbbrpp6nMKcN3cvBFZNIStsqENjzFlQxvCQtnQhseEsqENYVE2G1ov7dfN7S4q2UdAZJHGRDACIouCIWwVEEpOUFAouRCjNaGH0RhtiIFlaBkx2hFahsiiGCO6v8oInZ+gUZYsuu2224LJove+971JBzRJFn33u9813/ve95LvZFkU2VHw6quvmjnmmMO8/fbb5ogjjjAHHHBA6gDhtwMPPDBp/4svvmhi4B46EuWGNoSgLIuGR5Isi4awCLGAtGgqZtEQEopZNDy/QontOeecM3TZL00W9cp+HQyICqiEgMiiSnDp4TQERBbFGxeh5AQ1CSUXYrQm9FAUow0xsAwtI0Y7QssQWRRjRPdXGaHzEzT6iSyaMGGCOfTQQ5NOhtw57LDDCjt8/fXXN5dffrnh35deemnq8/aZDTbYwFxyySWFZbbjAZFFQyiLLBoebSKLhrAQWTQ8JhSzaAiLQXNDE1nUjl24974hsqj3+qzraiyyKF6XhJIT1CSUXIjRmtDDaIw2xMAytIwY7QgtQ2RRjBHdX2WEzk/QKEsW3XrrrUGHMGIWve9970s6oAnLIuITEacI+da3vmUOOeSQUp09depUs9tuuyXPXnnllWadddYZ8d5VV11lPvShDyV/49lddtmlVLlNPySyaAhhkUXDI01k0RAWIouGx4TIoiEsBo0s6vb9uun9UeWnIyCySCMjGAGRRcEQtgoIJScoKJRciNGa0MNojDbEwDK0jBjtCC1DZFGMEd1fZYTOT9AoSxbdcsstQYcwyCJ7cIlNFmFFhKsYghvad77zndIdTb3WWGMNc9NNN5kFF1wwIYRszJTzzz/f7Lrrrubxxx83q6yyirn++uuDMChdqRIPiiwaAklk0fBgEVk0hIXIouExIbJoCItBI4u6eb8usb3pkYYQEFnUELCDVKzIoni9HUpOUJNQciFGa0IPozHaEAPL0DJitCO0DJFFMUZ0f5UROj9Bo9fJooceesgsvvjiScdON910ZvTo0bmdTMBr/nHl4YcfNhtuuKG57777kj9bXIlphCy99NKJ+9nYsWO7ZgCJLBrqCpFFw0NSZNEQFiKLhseEyKIhLEQWVdu6mrzcefbZZw2ZSC+66CJzww03mAcffNAQD4q1nEuZcePGme233z53Hr/88stmypQp5rTTTkv69p133kn26a233trsu+++ZvbZZ6/W4AF5WmTRgHR0k80UWRQP3VBygpqEkgsxWhN6GI3RhhhYhpYRox2hZYgsijGi+6uM0PkJGmXJoptvvjnoEIbyufLKKycdENOy6IEHHjBLLrlk6Y7F6gjrI19QPidPnmxOP/30Fmm01FJLJcrnfvvt13XKp8iioR4UWTQ8kkUWDWEhsmh4TIgsGsJi0Miibt2v6YsZZ5wx0QGszDzzzGammWZKkkdYWXPNNc1ZZ52Vur77lzuzzDJL8tprr72W/LsbL3dKKygNPyiyqGGAB6F4kUXxejmUnKAmoeRCjNaEHkZjtCEGlqFlxGhHaBkii2KM6P4qI3R+gkZZsgg3rZBDGGQRt4ZITLKov3q0fGtEFg1hJbJoeMyILBrCImSdsmgqG9oQEsqGNjy/eikbWjfv11gA4/pN/D9cvpdZZpkE5Mceeyy5sOEfMpSmJZ1w3cbHjBmTuI1vsskmyfvnnntu4jb+5JNPdp3bePmdvdknRRY1i+9AlC6yKF43h5IT1CSUXIjRmtDDaIw2xMAytIwY7QgtQ2RRjBHdX2WEzk/QEFnUm2NCZNFQv4ksGh6/IouGsBBZNDwmZFk0hMWgWRZ1M1l08cUXm4022ihz4yWjKZlNET/phJuQgiym66677ohyrrjiCrPeeuslf+umhBTdomWILOqWnujheogsitd5oeQENQklF2K0JvQwGqMNMbAMLSNGO0LLEFkUY0T3Vxmh8xM0ypJF//jHP4IOYdwIrrrqqkkHyLIofByKLBrCUGTR8FgSWTSEhcii4TEhsmgIi0Eji3p5v37qqadasQeJSzR+/PjWgMbaCJIozerIPgRZBGm0wQYbJLEGJcMIiCzSaAhGoF/IoqeffjoIi9BDfdDHI74833zzBZcWehidd955g+sQY1yGEi2LLLJIcDuee+65oDJsvJeQQvBjDxU28hC59957Q16P9m43EIjRGhNQEAGiswSCZ9SoUcnPN954Y9AhjLJWW221pCyRRQEd9v+vbrXVVuGFBJYQuq7y+dB9aoEFFpmw+R0AACAASURBVAhshTHrrLNOcBn+DXfVAkl1HSpzzDFHUBEx+vOFF14IqgMvEwA3RGLUIXRcko0qVGKMy9B2xHBDi6EHEpsuRB555JGQ15N3Q/v09ddfD65Dnntkv+zXxC6aa665EqwmTZrUSkhBwgnWOFzUyH56wAEHpOLJb2RIhTSmrNBzTHCndVEBIou6qDN6tSoxDuXd0HaRRUO9EKokUEboIhtDSYgxLkOVYJFFwzNbZNEQFv1CKpcli8haEnJjjyK7+uqrJ9iJLArfKUUWDWEosmh4LP0fe2cCbUVxte0SrwyCmggqovyCCPpFRfzAKIgMDhE0kigOKEYGYxI1MeKAOOTTRKPibJyiMcE4QFQgKgIOiRAER1QQB4agKE4xgAkEQVzgn92Vcwtuzr3d5+w6fXp4ei0WSnftrnr3rtrdz6mqBhZZLYBFLia0z4HAIqdlmmCRz3wtkKuh3K95LiiWCR955BFz9NFHB6eeeOKJYF8jOeQHq8IzxOTJk80RRxxRNJHKucLMWylTmNGsz7rptwAsSr8Pq94CHy/lVW/EvysALLJe0D4kiA1gkdUSWOR6NrDIagEsKm20BxaVplfY1cAiqxCwyEUKsMhqASxyMaF9DgQWOS3zCovCcpF8tt7XIZuIC9x56623gq+avf3228HX0+SYNGmSGTBgQPDfMku+viWWcq7wMQ35otqRRx7pq3qptwMsSr0Lq98AYFG2XgK1DwmiBrDIxgSwyI1PwKJsjRNRZxbNnj1bPbNIvoAiBzOL9PkeWGQ1BBa5WAIWWS2ARS4mtM+BwCKnZZpgkc98HZatfMKi0047zdx9991GvpgmXzcrzCqSOowdO9YMHjw4qM6iRYtqv6JWt35yrlOnTsE/S5kTTzwxrAm5OQ8syo2rK9dQYFG2XgK1DwmiBrDIxgSwyI07wKJsjRNRYdHLL7+shkX77bdfIB6wSJ/HgUVWQ2CRiyVgkdUCWORiQvscCCxyWqYJFvnM13EtQ7viiivMz372s0DwX/ziF7X/XfBAObBo3LhxZtCgQfqEmxELwKKMOLKazQAWZeslUPuQACxyvRFYBCyqOzbnbRmaz4dPYJE+0wOLgEV1owhYBCyqGxPa50BgEbAojnx99dVXmwsvvDAQ+/zzzzfXXHPNfyVJlqHpnxuARXoNc28BWAQsqtsJmFlkFQEWAYvyDoteeukl9cyib37zm4GMcTx8Zj2hA4uARcCi4r2cmUVOF2CR1SJvX0NLU77eeEbReeedF3wBrdix8QbXU6ZMMf379y96HRtc1//0AyzK+pNhDO0DFgGLgEXFOxqwCFiUd1j04osvqmHR/vvvDyzylMuBRcAiYBGwKGw4ARblExalJV9fdtll5uc//3ngpPpmFBVifM2aNUZmT27YsMGMHj3ajBw5smj4y7lRo0YFzyurVq1Sb6cR1sfSdB5YlCZvJbSuwCJgEbAIWBQ2PLFnUbbGiah7FqXl4TMsfrNyHlgELAIWAYvCxjNgEbAoLEaKnZevl1b6x52LL77YXHnllcHtBe5cddVVoVXt3bu3mTFjhpG/p0+fXvT6wjV9+vQx06ZNC7WZpwuARXnydoXaCizK1kug9iFB1GAZmo0JZha5QQdYlK1xIioseuGFF9Qziw444IBAPJah6ZM4sAhYBCwCFoWNJNrnQPYscgqnaYPrpOdr2Z9I9imS45JLLjGXX355WCgH58eMGWOGDx8e/PfMmTPNgQceuEm5WbNmmZ49e9ZeO3To0Eh283IRsCgvnq5gO4FF2XoJ1D4kiBrAIhsTwCI38ACLsjVORIVFzz//vBoWde/ePRAPWKRP5MAiqyFfQ3OxxAbXVgv2LHIxoX0OBBY5LdMEi5Kcr2UWkSwVk0OWoV166aWRE6LMeOrWrZuZM2eOad26dQCPDj/88KD8k08+aYYNG2Y++eQT06VLFzN79mzVM0vkSqXoQmBRipyV1KoCi7L1Eqh9SBA1gEU2JoBFbtQCFmVrnIgKi5577jnVg5c85PXo0SMQD1ikfwoAFlkNgUUuloBFVgtgkYsJ7XMgsMhpmSZYlNR8Lc8bu+yySyDqZpttZrbffvsGk6FseC1/Nj6WLl1q+vbtaxYvXhz8c+E9RfY0kqNDhw7B8rO2bdvqE23GLACLMubQajQHWJStl0DtQ8LGg3C58bjtttuWW7S2nI+4XL58uaoewCInH7AoW+MEsEg1NFStMLDISg8sciEILLJaAItcTGifA4FFTktgkT7dLVmyxLRv3z6yIZl1JLOP6h6rV682N9xwg5kwYUItNNp1113NwIEDzbnnnmuaN28e+R55uhBYlCdvV6itPl7KK1S1kswuW7aspOvrXrzllluqyielsPYhQdrBzCLrTWCRi2pgkdUiK+NEVFgkewHI10XKPWRmUWF/AWYWlauiKwcssloAi1xMAIusFsAiFxPa50BgkdMyTbCIfK3PsVm0ACzKoldjbhOwKFsvgdqHBGCR64DAImBR3eE4b7BINpPUwqLCxpPAIn1yBxYBi+pGEbAIWFQ3JrTPgcCidMIi8rU+x2bRArAoi16NuU3AImBR3ZBjZpFVBFgELAIWAYtiTskN3g5YBCwCFhXvIswscroAi6wWH3zwgXr4TtPMImCR2t2ZNAAsyqRb420UsAhYBCwq3ueARcCivMOiZ599Vj2z6KCDDgpkZGaRPrcDi4BFwCJgUdhIAizKJywiX4f1jHyeBxbl0+9eW50VWORVlDKNff7552WWdMW0y1xkAzjtMWLECJWJRYsWqcpL4Y4dO6ptaDe7k68vaI9OnTqpTGgf+uTmkydPVtVBCrdp00Zlo/AFC40R+SxstY8k9HEfGkTds2jGjBlqWNSrV6+gysAived8wKJVq1apKtKkSRNVeSncqlUrlY3C0kaNER/t0C7XkS8DaY+33npLZWLBggWq8lJYq4PYKGUD3GIVXrt2rbod2ny7YsUKdR0++ugjtY2tttpKZWPdunWq8lL4gAMOUNvQPg/7eO7YcccdVe2YP3++qrwUnjhxYr02ZF/Ampqa4Dz5Wi11Jg0AizLp1ngbBSzyp3cSXiSBRc6fwCKrBbAoW33cR2uART5UjN8GsMhqDixysQcssloAi1xMAIusFsCi0nKUgCd+3ClNszRcDSxKg5cSXkdgkT8HAYuslswscjHFzCJ/D23MLPI3VkWFRX/5y1/UM4t69+4dVJyZRXr/AYuARXWjCFgELKobE8Aif88daZpZRL7W59gsWgAWZdGrMbcJWORPcGARsKhuNAGL/D20AYv8jVVRYdH06dPVsKhPnz7AIk+uAxYBi4BFxTsTM4ucLsAif88daYJF5GtPiTZjZoBFGXNoNZoDLPKnOrAIWAQsKt6ffEwHBxb5G6uiwqJp06apYVHfvn2BRZ5cBywCFgGLgEVhwwmwKJ+wiHwd1jPyeR5YlE+/e201sMifnMAiYBGwCFgUNqJoN+0Msx/lPLAoikrJuwZYBCwCFgGLwkYmYBGwKCxGip2XPYv4cacc5ZJdBliUbP+konbAIn9uAhYBi4BFwKKwESVNsOiZZ55Rzyw6+OCDA0nYsygsMsLPA4uARcAiYFHYSAEsyicsIl+H9Yx8ngcW5dPvXlsNLPInJ7AIWAQsAhaFjShpgkV//vOf1bDokEMOARaFBUXE88AiYBGwCFgUNlwAi/IJi8jXYT0jn+eBRfn0u9dWA4v8yQksAhYBi4BFYSMKsChMIc7XpwCwCFgELAIWhY2QwCJgUViMFDsvy9D4cacc5ZJdBliUbP+konbAIn9uAhYBi4BFwKKwESVNsOhPf/qTembRoYceGkjCMrSwyAg/DywCFgGLgEVhIwWwKJ+wiHwd1jPyeR5YlE+/e201sMifnMAiYBGwCFgUNqKkCRY9/fTTalh02GGHAYvCgiLieWARsAhYBCwKGy6ARfmEReTrsJ6Rz/PAonz63WurgUX+5AQWAYuARcCisBElTbDoqaeeUsOib33rW8CisKCIeB5YBCwCFgGLwoYLYFE+YRH5Oqxn5PM8sCiffvfaamCRPzmBRcAiYBGwKGxEARaFKcT5+hQAFgGLgEXAorARElgELAqLkWLnZc8iftwpR7lklwEWJds/qagdsMifm4BFwCJgEbAobERJEyx68skn1TOLDj/88EAS9iwKi4zw88AiYBGwCFgUNlIAi/IJi8jXYT0jn+eBRfn0u9dWA4v8yQksAhYBi4BFYSNKmmDRE088oYZF/fr1AxaFBUXE88AiYBGwCFgUNlwAi/IJi8jXYT0jn+eBRfn0u9dWA4v8yQksAhYBi4BFYSMKsChMIc7XpwCwCFgELAIWhY2QwCJgUViMFDsvy9D4cacc5ZJdBliUbP+konbAIn9uAhYBi4BFwKKwESVNsGjq1KnqmUX9+/cPJGEZWlhkhJ8HFgGLgEXAorCRAliUT1hEvg7rGfk8DyzKp9+9tjorsKhZs2YqXZYuXaoqL4VbtWqltrF69WqVjX322UdVXgp36dJFZePb3/62qrwUfuaZZ9Q2dt55Z5WNH/3oR6ryUvi4445T2Tj++ONV5aXwggUL1DZWrFihsrFmzRpVeV8xoa3HsmXL1O1IAixqqB3y62JNTU3QzilTpqhh0RFHHBHYAhapQ8f4GFsbN26sqoiPPLf11lur6vCNb3xDVV4Kf/jhh2obe++9t8rGkiVLVOWl8Ny5c1U23njjDVV5KdytWze1jXfffVdlY9WqVaryUlg7vv/rX/9S16FNmzZqG1999ZXKRtOmTVXlpXCvXr3UNrbbbju1Da2BlStXqkxo41pufs8999RbB/K1yj25KAwsyoWbK9tIYJHVF1jk4gxYZLUAFrmYABZZLbQvE2IDWFTZnJZl68Ai611gkYtyYJHVAljkYgJY5C8LAIv8aYml6igALKqO7pm6K7DIuhNY5MIaWGS1ABa5mAAWWS3yBosmT56snll05JFHBtoxs0j/6AAsshoCi1wsAYusFsAiFxPAIv1YW7CQJlhEvvbn9yxZAhZlyZtVaguwyAoPLHIBCCyyWgCLXEwAi6wWeYNFjz/+uBoWFQAHsEif5IFFwKK6UQQsAhbVjQlgkX6sTSMsIl/783uWLAGLsuTNKrUFWAQsqht6wCJgUd2YABblExZNmjRJDYuOOuqoQDxgkT7JA4uARcCi4v2ImUVOF2CRfqxNIywiX/vze5YsAYuy5M0qtQVYBCwCFhXvfMwscroAi4BF5aQo2XwTWFSOcsXLAIuARcAiYFHYiAIsClMo+vk0LUMDFkX3a56uBBblydsVaiuwCFgELAIWhQ0vwKJ8wqLHHntMPbNowIABgXjMLArrZeHngUXAImARsChspAAWhSkU/XyaYBH5Orpf83QlsChP3q5QW4FFwCJgEbAobHgBFuUTFj366KNqWPSd73wHWBTWwSKeBxYBi4BFwKKw4QJYFKZQ9PNpgkXk6+h+zdOVwKI8ebtCbQUWAYuARcCisOEFWAQsCouRYudlGRqwqBzlipcBFgGLgEXAorARBVgUplD088Ci6FpxZTIVABYl0y+pqhWwCFgELAIWhQ1awKJ8wqJHHnlEPbPou9/9biAey9DCeln4eWARsAhYBCwKGymARWEKRT+fJlhEvo7u1zxdCSzKk7cr1FZgEbAIWAQsChtegEX5hEV//OMf1bDo6KOPBhaFdbCI54FFwCJgEbAobLgAFoUpFP18mmAR+Tq6X/N0JbAoT96uUFuBRcAiYBGwKGx4ARYBi8JipNh5WYYGLCpHueJlgEXAImARsChsRAEWhSkU/TywKLpWXJlMBYBFyfRLqmoFLAIWAYuARWGDFrAon7Bo4sSJ6plFxxxzTCAey9DCeln4eWARsAhYBCwKGymARWEKRT+fJlhEvo7u1zxdCSzKk7cr1FZgEbAIWAQsChtegEX5hEUTJkxQw6KBAwdWBBZ9/vnnZsaMGebVV181r732WvDnnXfeMfKiNGTIEHPPPffUG9bTp083ffv2DQt7c/HFF5srrrgi9Lq4LgAWAYuARcCisPEGWBSmUPTzaYJFSc7X0RXnSt8KAIt8K5pDe8AiYBGwCFgUNvQBi/IJi8aPH6+GRccee2xFYFFDwKcUWLTDDjvUG/4jRowwF1xwQVj3iO08sAhYBCwCFoUNOMCiMIWin08TLEpyvo6uOFf6VgBY5FvRHNoDFgGLgEXAorChD1gELAqLkWLnZc+iSsIiWeLWpUsXs++++wZ/rrnmGjNv3rySZhZpX6zK0aXcMsAiYBGwCFgUNn5ox7SmTZuG3SL0fK9evUKvCbtgu+22C7uk4ueBRRWXmBtUWAFgUYUFzoP5rMAiWZKQhaNjx46qZjRr1kxVXgrvvvvuKhvHHXecqrwUXrhwodrGZpttprKx7bbbqspL4e7du6tsNLSUJqrhQw45JOql9V63fPlylY1FixapykvhuXPnqm0888wzahtaA9qxSlte6t+QDQE8NTU1QTMffvhh9cyiwnjge88iqefmm2++iTt69uxpZs2alVlYVNj/SROD69at0xQ32nFVbt6+fXtVHVq1aqUq76tw586dVabeffddVXkpLLMJNEfjxo01xYOyS5YsUdvo1KmTyoYsR9UeWi3atGmjrYJZu3at2kaLFi1UNho1aqQqL4UPP/xwtY3jjz9eZWPq1Kmq8lJY20e15aUOkyZNqrcdacnXakdgoGwFgEVlS0fBggLAomTFArDI+gNYZHUAFrn+CSyyWsQJix566CE1LCo88PuGRcVGbmBReD4DFoVrFPUKYJFVClhkdQAWuZ4DLLJaxAmL0pavo46zXKdTAFik04/S/1YAWJSsMAAWWX8Ai6wOwCLXP4FFVgtgUf1jNrAoPJ8Bi8I1inoFsMgqBSyyOgCLXM8BFlktgEVRR1Ouq5QCwKJKKZsju8CiZDkbWGT9ASyyOgCLXP8EFlkt4oRFDz74oHpm0QknnBDU+4svvmjQVt0lZeWMzOXAoh49epg33ngjWP4hy5u6du1qTjrpJCPL53zUqZx21FeGZWhWGZahuQhhGZrVgmVoLiZYhma1yNsyNJ/5Oo6ZwD5zI7bqVwBYRHSoFQAWqSX0agBYZOUEFlkdgEWuewGLrBZxwqI//OEPKmAi+ykMGjQo0hip3ZRVblIOLJJyW2+9tfnyyy/NmjVraut64IEHmokTJ5rtt98+Uv3juAhYZFUGFrloAxZZLYBFLiaARVaLvMEin/kaWBRHRo/nHsCieHTO9F2ARclyL7DI+gNYZHUAFrn+CSyyWgCL6h+zo8KiOXPmmPvvvz/4Utvee+9tmjdvHhidP3++uemmm8ydd94Z/H+3bt3MCy+8oAJmPjMMsMiqCSxyUQUssloAi1xMAIusFsCi0rLPxj/uAItK0y7JVwOLkuydlNQNWJQsRwGLrD+ARVYHYJHrn8Aiq0XcsEjzZZwNGzbUzixK0jK0sFH/2muvNSNHjgwuGzNmjBk6dGhYkVjOA4uszMAiF27AIqsFsMjFBLDIapFHWOQrXwOLYknpsdwEWBSLzNm+CbAoWf4FFll/AIusDsAi1z+BRVaLOGHRuHHjjPbh88QTTwzqHcfDZ9SZRWGjvkCudu3amaVLl5oBAwaYRx99NKxILOeBRVZmYJELN2CR1QJY5GICWGS1yBssSlu+jiVpchMDLCII1AoAi9QSejUALLJyAousDsAi172ARVaLOGHR2LFj1bBINouWI02wSOorG1zLi/iee+4ZbICdhANYZL0ALHLRCCyyWgCLXEwAi6wWeYNFacvXScipeagDsCgPXq5wG4FFFRa4RPPAIisYsMjqACxyHQhYZLUAFtU/qPqaWSR3ABYV13mzzTYrMav99+Xt27dX2QAWOfmARVYLYJGLCWCR1QJYVNowKzNq4/xxp7TacXW5CgCLylWOcrUKAIuSFQzAIusPYJHVAVjk+iewyGoRJyx64IEH1DOLBg8eHNQ7TTOL5KFZgMb7779vvv3tb5tJkyYlIlEws8i6AVjkwhFYZLUAFrmYABZZLfIGi9KWrxORVHNQCWBRDpxc6SYCiyqtcGn2gUVWL2CR1QFY5PoPsMhqEScski+GafcsOvnkk4N6JwkWffXVV6ahGTLyRbQRI0YE9b777rvNqaeeWtpAXqGrgUVWWGCRCzBgkdUCWORiAlhktcgbLEpbvq5QmsRsHQWARYSEWgFgkVpCrwaARVZOYJHVAVjkuhewyGoBLHIx8dlnnxn53G/hkFlAL774YvAFtltuuaX237fYYguzzTbb1P7/HnvsYU477TTTv39/s/vuu5vNN988OLdo0aKg3K233moEKHXp0sW8/PLLpqamxus4X64xYJFVDljkIghYZLUAFrmYABZZLYBFpWUamVEb5487pdWOq8tVAFhUrnKUq1UAWJSsYAAWWX8Ai6wOwCLXP4FFVos4YdF9992nnln0ve99L6h3JWYWyRfL3nvvvdBBvHfv3mb69Om11208q0hAkICktWvXmtWrV9de06NHDzNhwgTTunXrUPtxXQAsskoDi1zEAYusFsAiFxPAIqtF3mBR0vN1XHmS+2yqALCIiFArACxSS+jVALDIygkssjoAi1z3AhZZLeKERffee68aFp1yyilBvZMEi2Rp2fPPP29eeeUV87e//c2sWLEimF0kYKhbt27mhBNOMEcffbSq7V4Tw3+MAYusEMAiF13AIqsFsMjFBLDIapE3WJT0fF2JnIjNcAWAReEacUWIAsCiZIUIsMj6A1hkdQAWuf4JLLJaxAmLfv/736uAiUxrHzJkSFDvSsCiZI3ela8NsMhqDCxysQYssloAi1xMAIusFnmDReTryufgNN4BWJRGryWszsCiZDkEWGT9ASyyOgCLXP8EFlktgEXJGrPjrA2wyKoNLHJRByyyWgCLXEwAi6wWwKLSshM/7pSmV1quBhalxVMJrqcPWOTj5UUr0ZZbbqkysWzZMlV5Xw+w3bt3V9WjWbNmqvJS+IADDlDZaNq0qaq8FG7oS0VRjR9yyCFRLy163SWXXKIqL4U7d+6ssqGNa7l5YWaHpiIXXXSRpriR/V+0xx133KE1YZo3b66y8ec//1lVXgprfaotL3WQT8LXd8iG0YUNnQVWar+GNnTo0OBWzCxSh46RDbyrfRx//PHqKsyfP19lY9ddd1WVl8Lr1q1T29DmqSeeeEJdhx133FFlQ5Zgao/XX39da8K0bNlSZaNJkyaq8j5i4sMPP1TXwYcB7XOkbOqvPXw8B/br109Vje985zuq8lJYO1Zpy0sdrrvuunrbQb5WuzjzBoBFmXdx5RsILLIaA4tcrAGLrBbAIhcTwCKrRd5g0ZgxY9SwaNiwYYF2wCJ9PgcWWQ2BRS6WgEVWC2CRiwlgkdUib7CIfK3PsVm0ACzKoldjbhOwyAoOLHKBByyyWgCLXEwAi6wWwKLSEpRMawcWlaZZQ1cDi6w6wCIXJcAiqwWwyMUEsMhqASwqLfeQr0vTKy1XA4vS4qkE1xNYZJ0DLHJBCiyyWgCLXEwAi6wWeYNFv/vd79Qzi4YPHx5ox8wi/YMAsMhqCCxysQQssloAi1xMAIusFnmDReRrfY7NogVgURa9GnObgEVWcGCRCzxgkdUCWORiAlhktcgbLPrtb3+rhkWnnnpqoB2wSJ/cgUVWQ2CRiyVgkdUCWORiAlhktcgbLCJf63NsFi0Ai7Lo1ZjbBCyyggOLXOABi6wWwCIXE8AiqwWwqLQEJdPagUWladbQ1cAiqw6wyEUJsMhqASxyMQEssloAi0rLPeTr0vRKy9XAorR4KsH1BBZZ5wCLXJACi6wWwCIXE8Aiq0XeYNHdd9+tnln0/e9/P9COmUX6BwFgkdUQWORiCVhktQAWuZgAFlkt8gaLyNf6HJtFC8CiLHo15jYBi6zgwCIXeMAiqwWwyMUEsMhqkTdY9Jvf/EYNi0477bRAO2CRPrkDi6yGwCIXS8AiqwWwyMUEsMhqkTdYRL7W59gsWgAWZdGrMbcJWGQFBxa5wAMWWS2ARS4mgEVWi7zBorvuuksNi37wgx8E2gGL9MkdWGQ1BBa5WAIWWS2ARS4mgEVWi7zBIvK1Psdm0QKwKItejblNwCIrOLDIBR6wyGoBLHIxASyyWgCLSktQsgcCsKg0zRq6Glhk1QEWuSgBFlktgEUuJoBFVgtgUWm5h3xdml5puRpYlBZPJbiewCLrHGCRC1JgkdUCWORiAlhktcgbLLrzzjvVM4t++MMfBtoxs0j/IAAsshoCi1wsAYusFsAiFxPAIqtF3mAR+VqfY7NoAViURa/G3CZgkRUcWOQCD1hktQAWuZgAFlkt8gaLfv3rX6th0Y9+9KNAO2CRPrkDi6yGwCIXS8AiqwWwyMUEsMhqkTdYRL7W59gsWgAWZdGrMbcJWGQFBxa5wAMWWS2ARS4mgEVWC2BRaQlKprUDi0rTrKGrgUVWHWCRixJgkdUCWORiAlhktQAWlZZ7yNel6ZWWq4FFafFUgusJLLLOARa5IAUWWS2ARS4mgEVWi7zBojvuuEM9s+j0008PtGNmkf5BAFhkNQQWuVgCFlktgEUuJoBFVou8wSLytT7HZtECsCiLXo25TcAiKziwyAUesMhqASxyMQEsslrkDRbdfvvtalh0xhlnBNoBi/TJHVhkNQQWuVgCFlktgEUuJoBFVou8wSLytT7HZtECsCiLXo25TcAiKziwyAUesMhqASxyMQEssloAi0pLUDKtHVhUmmYNXQ0ssuoAi1yUAIusFsAiFxPAIqsFsKi03EO+Lk2vtFwNLEqLpxJcTx+wSNu8pUuXak2Ytm3bqmw0a9ZMVd5X4W233VZl6pBDDlGV91G4U6dOajM777yz2sYHH3ygsvH++++rykvhc845R2VjypQpqvJSeP/991fbePjhh1U2VqxYoSovhZ97sD7iOgAAIABJREFU7jm1jQ8//FBlY82aNaryUvjzzz9X29AaaAiOr1+/3tTU1AS3uO2229Qzi84888zAFjOLtF4zxgcs2mqrrVQV8fFSrq3DTjvtpGqDFPZh45VXXlHVY+XKlaryUnjatGkqG7vssouqvBRevXq12kZhzCnX0Jtvvllu0dpyWvCmLS8VWb58ubodCxYsUNnwAVl8/ADbuXNnVTv69u2rKi+FV61apbLx0ksvqcpL4VtuuaVeG+RrtbyZNwAsyryLK99AYJHVGFjkL9aARU5LYJHVAljkYiJNsOjWW29Vw6If//jHQeOBRfoxFlhkNfQBenzYABZZfwCLrA7AIjfGAYusFnHCIvK1Psdm0QKwKItejblNwCIrOLDIX+ABi5yWwCKrBbDIxUSaYJH8otmoUaOyBweZ1v6Tn/wkKA8sKlvG2oLAIiuFD9DjwwawyPoDWGR1ABa5MQ5YZLWIExaRr/U5NosWgEVZ9GrMbQIWWcGBRf4CD1jktAQWWS2ARS4mgEX+xpq8WQIWWY/7AD0+bACLrD+ARVYHYJEbkYFFVgtgUd6ydPLaCyxKnk9SVyNgkXUZsMhf6AKLnJbAIqsFsMjFRJpg0a9+9Sv1zKKzzjoraDwzi/RjLLDIaugD9PiwASyy/gAWWR2ARW6MAxZZLeKEReRrfY7NogVgURa9GnObgEVWcGCRv8ADFjktgUVWC2CRi4k0waKbb75ZDYt++tOfBo0HFunHWGCR1dAH6PFhA1hk/QEssjoAi9wYByyyWsQJi8jX+hybRQvAoix6NeY2AYus4MAif4EHLHJaAousFsAiFxPAIn9jTd4sAYusx32AHh82gEXWH8AiqwOwyI3IwCKrBbDI6iDPPTNmzDCvvvqqee2114I/77zzjvnqq6/MkCFDzD333BOazmWcufHGG8348eNry3bo0MEMHDgw+PJw8+bNQ23k8QJgUR697rnNwCIrKLDIX2ABi5yWwCKrBbDIxUSaYNFNN92knll09tlnB41nZpF+jAUWWQ19gB4fNoBF1h/AIqsDsMiNccAiq0WcsCjJ+Xr69Ommb9++RZNgFFi0dOnSoPzixYsDG02bNg3+Xrt2bfC3QKNp06aZtm3b6hNtxiwAizLm0Go0B1hkVQcW+Ys+YJHTElhktQAWuZhIEyySX/G0X0MbMWJE0HhgkX6MBRZZDX2AHh82gEXWH8AiqwOwyI1xwCKrRZywKMn5WmDRMcccY7p06WL23Xff4M8111xj5s2bFzqzaP369aZbt25mzpw5ZocddjBjxowx/fr1C/SdOnWqGTZsmPn0008D27Nnzzabb765PtlmyAKwKEPOrFZTgEVWeWCRvwgEFjktgUVWC2CRiwlgkb+xJm+WgEXW4z5Ajw8bwCLrD2CR1QFY5EZkYJHVAlhkdRDgUxfi9OzZ08yaNSsUFgkcGj58eGBHlrIddNBBm6T+Z5991vTq1Sv4N7l26NCheXs0aLC9wCLCQa0AsMhKCCxSh1KtAWCR0xJYZLUAFrmYSBMsuuGGG9Qziwp9gJlF+jEWWGQ19AF6fNgAFll/AIusDsAiN8YBi6wWccKitOXrqLCod+/eASSSv2WGUrFDYJFAoz59+gTL0TicAsAiokGtALDISggsUodSrQFgkdMSWGS1ABa5mEgTLLr++uvVsOjcc88NGg8s0o+xwCKroQ/Q48MGsMj6A1hkdQAWuTEOWGS1iBMWpS1fR4FFa9asMS1atDAbNmwwo0ePNiNHjiyaSOXcqFGjgtlLq1atSsw7nT7r6y0Ai/Qa5t4CsMiGALDIX1cAFjktgUVWC2CRi4k0waLrrrtODYvOO++8oPHAIv0YCyyyGvoAPT5sAIusP4BFVgdgkRvjgEVWizhhUdrydRRYJF9P69q1a6Dl5MmTzRFHHFE0kcq5Qn6UMrInEodVAFhEJKgVABZZCYFF6lCqNQAscloCi6wWwCIXE8Aif2NN3iwBi6zHfYAeHzaARdYfwCKrA7DIjcjAIqtFWmHRF1980eBG0T42kY4CiyZNmmQGDBgQaDl37lzTuXPnomlfzskG13I8/vjj5sgjj8zb40G97QUWEQpqBYBFVkJgkTqUag0Ai5yWwCKrBbDIxUSaYNG1116rnll0/vnnB41nZpF+jAUWWQ19gB4fNoBF1h/AIqsDsMiNccAiq0WcsMhnvg7LVl999VXYJaHno8CisWPHmsGDBwe2Fi1aZHbbbbeiduVc4d1Dypx44omh98/LBcCivHi6gu0EFllxgUX+ggxY5LQEFlktgEUuJtIEi+TTto0aNSp7cJB9Bgp7DACLypaxtiCwyErhA/T4sAEssv4AFlkdgEVujAMWWS3ihEU+83VYtkoyLBo3bpwZNGhQWBNycx5YlBtXV66hwCKrLbDIX4wBi5yWwCKrBbDIxQSwyN9YkzdLwCLrcR+gx4cNYJH1B7DI6gAsciMysMhqkVZYxDK07DxdAIuy48uqtSQJsMhH47UvYC1btvRRDbWNLbfcUmXj8ssvV5WXwgsXLlTZ8PGQcNRRR6nqIIVlrbPmaNu2raZ4UHbp0qUqG9p4kJsX1nFrKqKth7a81P25557TNCEoO2XKFJUNbd+Qm2vBtHwdRHu8//779ZpYv369qampCc7LF0a0M4suuOCCwBYzi7ReM7UbeGosNW7cWFPcbLfddqryUrh9+/YqG/Pnz1eVl8Lf/OY31TYee+wxlQ0fv86vXLlSVYftt99eVV4Kv/7662obS5YsUdnYa6+9VOWlsLYO7dq1U9dh6623VtvQtsOHlsuXL1e3QztO9O3bV10H2QtHc/z973/XFA/KTpw4sV4bac7XUZahbbzBtTy/9e/fv6gWbHBdf5gBi9RdEAPAIhsDwCLXF7QvxMAipyWwyGoBLHIxkSZYdPXVV6thkXzOVg5gkf55w8fMImCR9QOwyOoALHL9UgtZgEVOS2CR1SJOWJS2fB0FFsmPYy1atDCypF1+vCosa6+bTeWcPGvIxturVq1S/yinz9bJsQAsSo4vUlsTYJF1HbDIhTCwyGrBzCIXE1rYoy0vNWFmkfVHnDOLrrrqKjUsuvDCC4N6A4v0jwnAIqshM4tcLDGzyGrhYzYMsMiflsAiq2WcsCht+ToKLBINe/fubWbMmBH8PX369KKJtHBNnz59zLRp0/TJNkMWgEUZcma1mgIsssoDi1wEAousFsAiFxNa2KMtLzUBFll/AIuqlS2rf19gkfUBsMjFIrDIagEscjGhhV4+tAQWWX8Ai+rPm1Fh0ZgxY8zw4cMDQzNnzjQHHnjgJkZnzZplxJYccu3QoUOrn6wTVANgUYKckdaqAIus54BFLoKBRVYLYJGLCS3s0ZaXmgCLrD/ihEVXXnmlembRRRddFNSbmUX6pwRgkdUQWORiCVhktfABOLSQhWVoLi6BRVaLOGFR0vP1Z599ZmSPpcIh+ezFF18Mvlx2yy231P77FltsYbbZZpva/5cy3bp1M3PmzDGtW7cOgNDhhx8enH/yySfNsGHDzCeffBLszzl79uxgKRqHUwBYRDSoFQAWWQmBRS6UgEVWC2CRiwkt7NGWl5oAi6w/4oRFv/zlL9Ww6OKLLw7qDSxSp2s2uP6PhMAiF0vAIqsFsMjFhBZ6+dASWGT9EScsSnq+Fpj63nvvhSbCYsvNZP9P2bB88eLFQfnC3o+F56EOHToEy898PLeHVjBlFwCLUuawJFYXWGS9Aixy0Qksslr4SDpscG21BBa5/pWmDa6T/vCZxJxayToxs8iqCyxyUQYsslr4ABxayMLMIheXwCKrBbDIxYQGFomV1atXmxtuuMFMmDChFhrtuuuuZuDAgebcc881zZs3r2T6Ta1tYFFqXZecigOLrC+ARS4mgUVWC2CRiwkt7NGWl5ows8j6I86ZRVdccYV6ZtEll1wS1JuZRfq8DyyyGgKLXCwBi6wWwCIXE1ro5UNLYJH1R5ywiHytz7FZtAAsyqJXY24TsMgKDixygQcssloAi1xMaGGPtrzUBFhk/REnLLr88svVsOhnP/tZUG9gkT65A4ushsAiF0vAIquFD8ChhSzMLHJxCSyyWsQJi8jX+hybRQvAoix6NeY2AYus4MAiF3jAIqsFsMjFhBb2aMtLTYBF1h/AopiTZIJuByyyzgAWuaAEFlktgEUuJrTQy4eWwCLrD2BRghJoTqsCLMqp4302G1hk1QQWuagCFlktgEUuJrSwR1teagIssv6IExb94he/UM8s+r//+7+g3sws0mduYJHVEFjkYglYZLXwATi0kIWZRS4ugUVWizhhEflan2OzaAFYlEWvxtwmYJEVHFjkAg9YZLUAFrmY0MIebXmpCbDI+iNOWPTzn/9cDYsuvfTSoN7AIn1yBxZZDYFFLpaARVYLYJGLCS308qElsMj6I05YRL7W59gsWgAWZdGrMbcJWGQFBxa5wAMWWS2ARS4mtLBHW15qAiyy/ogTFl122WVqWCQ25AAW6ZM7sMhqCCxysQQsslr4ABxayMLMIheXwCKrRZywiHytz7FZtAAsyqJXY24TsMgKDixygQcssloAi1xMaGGPtrzUBFhk/QEsijlJJuh2wCLrDGCRC0pgkdUCWORiQgu9fGgJLLL+ABYlKIHmtCrAopw63mezgUVWTWCRiypgkdUCWORiQgt7tOWlJsAi6484YZEsIWvUqFHZKWfDhg1GpsbL4Xtm0eeff25mzJhhXn31VfPaa68Ff9555x3z1VdfmSFDhph77rkntN6rV682N954oxk/fnxt2Q4dOpiBAweac845xzRv3jzURpwXAIus2sAiF3XAIquFD8ChhSzMLHJxCSyyWsQJi5Kcr+PMk9xrUwWARUSEWgFgkZUQWORCCVhktQAWuZjQwh5teakJsMj6I05YJJtTa2GRbLoph29YNH36dNO3b9+iOTAKLFq6dGlQfvHixYGNpk2bBn+vXbs2+Fug0bRp07yMA+pE/R8DwCIrBLDIRRSwyGoBLHIxoYVePrQEFll/xAmLkpyvfeVA7JSuALCodM0oUUeBrMCiZcuWqXzr42XWh43ddttN1Y6f/exnqvJS+Prrr1fZ8AFZvv71r6vqIIXPOOMMlY3nn39eVV4KT548WWXj2GOPVZWXwj7gwooVK1T1kBkc2qPwEq+x89BDD2mKmw8++EBVXgprxwmZUaM9Ghov169fb2pqaoJbJPnhU2DRMcccY7p06WL23Xff4M8111xj5s2bFzqzSNrYrVs3M2fOHLPDDjuYMWPGmH79+gVtnjp1qhk2bJj59NNPA9uzZ882m2++uVZyL+Wlvdpj1apVKhP77LOPqrwU3m+//VQ2fLyAacc0aUCTJk1U7fjiiy9U5aXwU089pbLRokULVXkpvOOOO6ptaH8M0P7IJQ1o1aqVqh3aviU37969u6oOUlibK7/88kt1HbR9Qyqgff5p1qyZuh3afCv5Q3uMHTu2XhNpyddaDShfvgLAovK1o+R/FAAWWSG0L3C+bACLrD+ARVYH7cOS2AAWueEeWGS1iAqLBD5rZxZdfvnlwT19zyySh+S6EKdnz55m1qxZobBI4NDw4cODeslStoMOOmiTZ4Jnn33W9OrVK/g3uXbo0KGbnK/W/wCLrPLAIheBwCKrBbDIxQSwyGqRN1iU5HxdrZzJfY0BFhEFagWARVZCYJELJWYWWS2YWeRiQvsrPDOLnJbasUb7S6fUJCosuuSSS9Sw6Iorrgga7xsWFUt+UWFR7969A0gkf8sMpWKHwCKBRn369AmWoyXhABZZLwCLXDQCi6wWwCIXE8Aiq0XeYFHa8nUScmoe6gAsyoOXK9xGYJEVWPsC58sGM4usP5hZZHVgZpG/B2CxxMwiq2eeYZHMtJOlN7L59ujRo83IkSOLZlk5N2rUqGD2kiwv8fHioU3nwCKrILDIRRKwyGoBLPKXK1mG5rTU/jgT5zI0YJE2w2azPLAom36NtVXAIis3sMiFHTOLrBbMLHIxwcwiq0Xe9iy6+OKL1TOLfvnLXwbayf4sDe3942NfoCgzi+TraV27dg3qJHuKHXHEEUVzrpwrbCgtZWRPpGofwCLrAWCRi0RgkdUCWORigplFVgsfgD9NsMhnvo5jJnC182le7g8syounK9hOYJEVF1jkggxYZLUAFrmYABZZLfIGiy666CI1LLryyisjZTD55L32iAKLJk2aZAYMGBDcau7cuaZz585FbyvnZINrOR5//HFz5JFHaqunLg8sshICi1woAYusFsAiFxPAIqtF3mCRz3wNLFKn68QYABYlxhXprQiwyPoOWORiGFhktQAWuZgAFlkt8gaLLrzwQjUsuuqqqyIlyLhgkXxZZvDgwUGdFi1aZOpb+ivnOnXqFFwnZU488cRI7ajkRcAiqy6wyEUZsMhqASxyMQEsslrkDRb5zNfAokpm8nhtA4vi1TuTdwMWWbcCi1x4A4usFsAiFxPAIqsFsKi0NCj7AhVgUVKWoZUDi8aNG2cGDRpUWuMrcDWwyIoKLHLBBSyyWgCLXEwAi6wWwKLSktDG+RpYVJp2Sb4aWJRk76SkbsAi6yhgkQtYYJHVAljkYgJYZLXIGyySDZ4bNWpUdjaTh8+rr746KB/HwyfL0MJdJZt1a4599tlHUzwou99++6lsAIucfMAiqwWwyMUEsMhqkTdYlLZ8rUoCFI6sALAoslRcWJ8CwCKrDLDIRQiwyGoBLHIxASyyWuQNFl1wwQVqWCRfFZMjKbBo4w2up0yZYvr37180PbLBdfGnBmCR06VJkyaqh0uZbac9gEVWQWCRiyRgkdUib7AobflaO/ZRPpoCwKJoOnFVAwoAi6w4wCIXJMAiqwWwyMUEsMhqASwqLZ0WPk8vpZICi9asWWNatGhhCnUbOXJk0UYJ5JJfauUrbTIbx8eLR2nq/ffVLEOzmjCzyMUGsMhqASxyMQEsslr4GLPT9DU0YJE2w2azPLAom36NtVXAIis3sMiFHbDIagEscjEBLLJa5A0WCUjRLkO75pprAu2SAoukLr179zYzZswI/p4+fXrRnFu4pk+fPmbatGmx5uX6bgYsssoAi1yEAIusFsAiFxPAIqtF3mBR2vJ1IpJqDioBLMqBkyvdRGCRVRhY5CINWGS1ABa5mAAWWS3yBovOP/98NSy69tprA+2SBIvGjBljhg8fHtRr5syZ5sADD9wk1c6aNcvI/kdyyLVDhw6tdCqOZB9YZGUCFrlwARZZLYBFLiaARVaLvMGitOXrSEmPi9QKAIvUEmIAWGRjAFjk+gKwyGoBLHIxASyyWgCLSsuZstSrkrDos88+M+vXr6+t1Le//W3z4osvBl8uu+WWW2r/fYsttjDbbLNN7f9LmW7dupk5c+aY1q1bB0Do8MMPD84/+eSTZtiwYeaTTz4xXbp0MbNnzw6WoiXhABZZLwCLXDQCi6wWwCIXE8AiqwWwqLSsVel8XVptuNqXAsAiX0rm2A6wyDofWOQ6AbDIagEscjEBLLJa5A0WnXfeeeqZRdddd12gXSVmFrVr18689957oRm82HKzpUuXmr59+5rFixdv8mIhexrJ0aFDh2D5Wdu2bUPtx3UBsMgqDSxyEQcssloAi1xMAIusFnmDRUnP13HlSe6zqQLAIiJCrQCwyEoILHKhBCyyWgCLXEwAi6wWeYNF5557rhoWFcaTpMEi8efq1avNDTfcYCZMmFALjXbddVczcOBAI21v3ry5Osf6NAAssmoCi1xUAYusFsAiFxPAIqtF3mBR0vO1z1yIregKAIuia8WV9SgALLLCAItcgACLrBbAIhcTwCKrRd5g0TnnnKOGRQJj5KgELMpbYgcWWY8Di1zkA4usFsAiFxPAIqtF3mAR+TpvTwTR2gssiqYTVzWgQFZgkfbzli1btlTHyfLly9U2tNCqSZMm6jr06NFDZUPrC7n5ww8/rKqDFH7mmWfUNrQGFi1apDLh42Fn2223VdVBCk+ePFllwwdkkVkg2qOwxKhcO1p/yn21fbzcum9c7v3336/XjOznU1NTE5zn4dOH2v5syJ5M2mOrrbZSmdhjjz1U5aXwggULVDb69eunKi+FfeRrrZavvPKKuh3Lli1T2ViyZImqvBT28fz09ttvq+qh+Wpj4cZRlrQ2VEnts5PYnj9/vkoHKdyxY0eVje22205VXgrvvvvuahsHH3ywysa7776rKi+Ftc8uH330kboO99xzT702yNdqeTNvAFiUeRdXvoHAIquxj4cdHw+f2hdJYJHrM8AiqwWwyMUEsMhqERUWjRgxQj2z6MYbbwzuycwifT4HFlkNgUUuloBFVgtgkYsJYJHVIm+wiHytz7FZtAAsyqJXY24TsMgKDixygaf9dYyZRU5L7UwUZhY5LZlZ5C85RIVFZ599tuolTL6uctNNNwGLPLkOWAQsqhtKwCJgUd2YABblExaRrz0l2oyZARZlzKHVaA6wCFhUN+6ARf56IrDIaqmdyi02gEX+4hJY5E/LOC0Bi4BFwKLiPY6ZRU4XYBGwqJy8xI875aiW/DLAouT7KPE1BBYBi4BFleumwCJgUd3o0i419RGtUWHRT3/6U/XMoptvvjmoMsvQ9J4DFgGLgEXAorCRBFiUT1hEvg7rGfk8DyzKp9+9thpYBCwCFnntUpsYAxYBi9IMi8466yw1LPrVr34FLPI0xACLgEXAImBR2HACLMonLCJfh/WMfJ4HFuXT715bDSwCFgGLvHYpYFEROVmG5kRJ08wiHj4rNzaUYxlYBCwCFgGLwsYOYBGwKCxGip2XZWj8uFOOcskuAyxKtn9SUTtgEbAIWFS5rsrMIqstsCidsOgnP/mJembRLbfcEjSeZWj6cQZYBCwCFgGLwkYSYFE+YRH5Oqxn5PM8sCiffvfaamARsAhY5LVLbWIMWAQsqhtdaZpZ9OMf/1gNi2699VZgkachBlgELAIWAYvChhNgUT5hEfk6rGfk8zywKJ9+99pqYBGwCFjktUsBi4rIycwiJ0qaYNGZZ56phkW33XYbsMjTEAMsAhYBi4BFYcMJsCifsIh8HdYz8nkeWJRPv3ttNbAIWAQs8tqlgEXAogYDClhUuf6WdcvAImARsAhYFDbOAYuARWExUuy87FnEjzvlKJfsMsCiZPsnFbUDFgGLgEWV66osQ7PaMrPIxViaYNEZZ5yhnll0++23B41nzyL9OAMsAhYBi4BFYSMJsCifsIh8HdYz8nkeWJRPv3ttNbAIWAQs8tqlNjEGLAIW1Y2uNMGi008/XQ2L7rjjDmCRpyEGWAQsAhYBi8KGE2BRPmER+TqsZ+TzPLAon3732mpgEbAIWOS1SwGLisjJzCInCrCocv0t65aBRcAiYBGwKGycAxYBi8JipNh5WYbGjzvlKJfsMsCiZPsnFbUDFgGLgEWV66rMLLLaAovSCYt+9KMfqWcW/frXvw4azzI0/TgDLAIWAYuARWEjCbAon7CIfB3WM/J5HliUT797bTWwCFgELPLapTYxBiwCFtWNrjTNLPrhD3+ohkV33nknsMjTEAMsAhYBi4BFYcMJsCifsIh8HdYz8nkeWJRPv3ttNbAIWAQs8tqlgEVF5GRmkRMlTbDoBz/4gRoW3XXXXcAiT0MMsAhYBCwCFoUNJ8CifMIi8nVYz8jneWBRPv3utdVZgUUtW7ZU6bJ06VJVeSmsrYPYWL58uaoePl4mZs2aparDkCFDVOWlcNu2bdU2Pv/8c7UNrQFtO3xAlm233VbbDLP77rurbNxwww2q8lL4hRdeUNtYs2aN2kYWDLz//vv1NmP9+vWmpqYmOM/DZ7K87WN8b9y4sapRW2+9taq8FO7Zs6fKho86rFu3TlUHKazVcv78+eo6NGrUSGXjmWeeUZWXwitXrlTb+OKLL1Q2fPiza9euVa/DggULVHWQwscdd5zKxscff6wqL4V9PA/vt99+qnq8++67qvJSWPv8NHPmTHUdCj+4FDNEvlbLm3kDwKLMu7jyDQQWWY2BRS7WgEX++h2wyGoJLPIXUz4sRYVFp512mnpm0W9+85ugyuxZpPccsMhqCCxysQQssloAi1xMAIusFnmDReRrfY7NogVgURa9GnObgEVWcGCRCzxgkb9OCCyyWgKL/MWUD0tRYdH3v/99NSy6++67gyoDi/SeAxZZDYFFLpaARVYLYJGLCWCR1SJvsIh8rc+xWbQALMqiV2NuE7DICg4scoEHLPLXCYFFVktgkb+Y8mEJWORDxfhtAIuARXWjDlgELKobE8AiYFE52WnDhg2GH3fKUS7ZZYBFyfZPKmoHLAIW1Q1UYJG/rgssAhb5iyZ/lqLColNPPVU9s+i3v/1tUHFmFun9BywCFgGLivcjZhY5XYBF+YRF5Gt9js2iBWBRFr0ac5uARcAiYFHlOh2wCFhUuegq33JUWDR8+HA1LPrd734HLCrfVZuUBBYBi4BFwKKw4QRYlE9YRL4O6xn5PA8syqffvbYaWAQsAhZ57VKbGAMWAYsqF13lWwYWla9dNUsCi4BFwCJgUdgYBCwCFoXFSLHzsgyNH3fKUS7ZZYBFyfZPKmoHLAIWAYsq11WBRcCiykVX+ZajwqJhw4apZxaNGTMmqCjL0Mr3V6EksAhYBCwCFoWNJMCifMIi8nVYz8jneWBRPv3utdXAImARsMhrl9rEGLAIWFS56CrfclRYNHToUDUsuueee4BF5btqk5LAImARsAhYFDacAIvyCYvI12E9I5/ngUX59LvXVgOLgEXAIq9dClhURE6+hla5GCvHclRYNGTIEDUs+v3vfw8sKsdJRcoAi4BFwCJgUdhwAizKJywiX4f1jHyeBxbl0+9eWw0sAhYBi7x2KWARsKhyAeXJMrDIk5AxmwEWAYuARcCisGEHWAQsCouRYudlzyJ+3ClHuWSXARYl2z+pqB2wCFgELKpcV2UZmtWagf6kAAAgAElEQVSWmUWVi7FyLEeFRaeccop6ZtG9994bVJE9i8rx1KZlgEXAImARsChsJAEW5RMWka/DekY+zwOL8ul3r60GFgGLgEVeu9QmxoBFwKLKRVf5lqPCou9973tqWHTfffcBi8p31SYlgUXAImARsChsOAEW5RMWka/DekY+zwOL8ul3r60GFgGLgEVeuxSwqIiczCyqXIyVYxlYVI5q1S8DLAIWAYuARWEjEbAIWBQWI8XOyzI0ftwpR7lklwEWJds/qagdsAhYBCyqXFdlZpHVFlhUuRgrx3JUWHTyySerZxbdf//9QRVZhlaOpzYtAywCFgGLgEVhIwmwKJ+wiHwd1jPyeR5YlE+/e201sAhYBCzy2qU2MQYsAhZVLrrKtxwVFg0ePFgNix544AFgUfmu2qQksAhYBCwCFoUNJ8CifMIi8nVYz8jneWBRPv3utdVZgUWff/65V12qZWzLLbes1q1r79ukSRNVHY466ihVeSnsw5/du3dX1WOzzTZTlZfCy5cvV9mYP3++qrwU7tGjh9rG3LlzVTYWLVqkKi+FtXXwFVfahiShjwOLtF6sTnkfsOiLL75QVX6rrbZSlZfCO++8s8pG48aNVeWl8D777KO2oTXw4Ycfak2otVy2bJm6DjNnzlTb0Pr0yy+/VNdBm6/nzZunrsPQoUPVNrTPLh988IG6Dv3791fb0D6LvvPOO+o6aGOiRYsW6jpceuml9dpYv369qampCc4Di9RSZ9IAsCiTbo23UcCiePUOu1sSXiS1CRpY5LysfdAAFjktgUVho0f081Fh0UknnaSeWTR27NigYixDi+6f+q4EFllltGBBbACLrJbAIn/5GljktAQWWS3ihEXka32OzaIFYFEWvRpzm4BFMQsecjtgkRWImUVWB2CR6zDAIn9jVVRYdOKJJ6ph0bhx44KKA4v0/gMWWQ2BRS6WtLO0gEXAorojEzOL/MVEnLCIfK3PsVm0ACzKoldjbhOwKGbBgUWRBAcWAYvqBgqwKFLXiXRRVFg0aNAgNSz6wx/+ACyK5JXwi4BFwKK6UQIssoqwDM1FBsvQrBZ5W4ZGvg7PoXm8AliUR697bjOwyLOgSnPMLLICAouARcAi5WDSQHFgUeW0raRlYBGwCFhUvIcBi4BFdSMDWFRaNtqwYYPhx53SNEvD1cCiNHgp4XUEFiXLQcAiYNHGEckyNKcGM4v8jVVRYdEJJ5ygnln04IMPBhVnGZref8AiYBGwCFgUNpIws8gqlDdYRL4O6xn5PA8syqffvbYaWORVTrUxYBGwCFhUvBsBi9TDS62BqLDo+OOPV8Oihx56CFjkyXXAImARsAhYFDacAIvyCYvI12E9I5/ngUX59LvXVgOLvMqpNgYsAhYBi4BF6oEkxACwqNIKV8Y+sAhYBCwCFoWNLsAiYFFYjBQ7L8vQ+HGnHOWSXQZYlGz/pKJ2wKJkuQlYBCwCFgGLKj0qRYVFxx13nHpm0cMPPxw0h2Voeq8Ci4BFwCJgUdhIAizKJywiX4f1jHyeBxbl0+9eWw0s8iqn2hiwCFgELAIWqQeSEANRYdGxxx6rhkXjx48HFnlyKLAIWAQsAhaFDSfAonzCIvJ1WM/I53lgUT797rXVwCKvcqqNAYuARcAiYJF6IAEWVVrCqtgHFgGLgEXAorDBB1gELAqLkWLnZRkaP+6Uo1yyywCLku2fVNQOWJQsNwGLgEXAImBRpUelUmYWaV48vvrqKx4+PToTWAQsAhYBi8KGFM2YLbY/+OCDsFuEnu/fv3/oNWEXNGnSJOySBs/n7WtoMrNI43vytSrcElsYWJRY16SnYsCiZPkKWAQsAhYBiyo9KkWFRQMHDlQ/fE6YMCFoDnsW6b0KLAIWAYuARWEjiQYYAIs2VXf58uVhcjd4vkWLFqryUvjSSy+t18b69etNTU1NcJ58rZY6kwaARZl0a7yNAhbFq3fY3YBFwCJgEbAobJzQno8Ki4455hg1LJo4cSKwSOuw/5QHFgGLgEXAorDhBFhkFcrbzCLydVjPyOd5YFE+/e611cAir3KqjQGLgEXAImCReiAJMQAsqrTClbEPLAIWAYuARWGjC7AIWBQWI8XOyzI0ftwpR7lklwEWJds/qagdsChZbgIWAYuARcCiSo9KUWHR0UcfrZ5Z9Mc//jFojs9laNOnTzd9+/YNleniiy82V1xxReh1abkAWAQsAhYBi8LGK2BRPmFRUvN1WLxyvrIKAIsqq28urAOLkuVmYBGwCFgELKr0qBQVFn33u99Vw6JHHnmkorBohx12qFeuESNGmAsuuKDScsZmH1gELAIWAYvCBhxgUT5hUVLzdVi8cr6yCgCLKqtvLqxnBRZpnfX5559rTXgpr63H7rvvrq6HdkM/mcqqPbp06aI1YbQvVlpfSANWr16taseKFStU5aWwDxvar6MsXLhQ3Q4f/mjZsqWqHmvWrFGVT0rhLMEiH+NNUvwSVg/tmCb2t9pqq7DbNHh+1apVqvJSeN26dSobrVq1UpWXwt26dVPbmDRpksrG6aefriovhZctW6ay8dFHH6nKS2HtuCo2HnroIVU92rdvryovhRctWqSyceCBB6rK+/Cnj9jWjhFSh/nz56u10D7Prly5Ul0H7bPPZ599pq7DmDFj6rWx8QbXwCK11Jk0ACzKpFvjbRSwyOrt40XUh+e09dAmV2kDsMhfTACLrJbAIh+jgz8bUWHRd77zHfXMokcffTSoeKWWoQGLSosL7YsgsMjpDSyyWgCLrA7AItc3gEVWizhhUVLz9cYZSp6Jb7zxRjN+/PhgA3LJ3x06dAi+5HbOOeeY5s2bl5bQuDpUAWBRqERcEKYAsMgfGAjTOsp5YJFViZlFVgcfs4J82ND+ugYsitL747smKiwaMGCAGhY99thjQcOARXr/MrPIasjMIhdLzCyyWjCzyMWEdtacFihLTYBF1h9xwqKk5utCZC5dujTYa3Dx4sXBPzVt2jT4e+3atcHfAo2mTZtm2rZtq0+WWKhVAFhEMKgVABZZCbWQRu2I/xjQ1oOZRc4T2hcrrS+kJswssv4AFvkaIfzYiQqLjjrqKDUsKsy+ABbpfacd06QG2hdBZhY5PzKzyGrBzCKrAzOLXN8AFlkt4oRFSc3XooMslxOIOWfOHCP7DMrSun79+gUaTZ061QwbNsx8+umnwQ/Fs2fPNptvvrk+YWIhUABYRCCoFQAWWQl9gAG1MzzUA1jkvKB9sfIRE8Ai6w9gkY/RwZ+NLMGiHj16mDfeeCP4dVJmnHTt2tWcdNJJ5rjjjsvcA6d2TJMIAhbZfqSdfSE2gEVWS2CR1QFY5HIUsMhqASyyOggcGj58ePDfM2bMMAcddNAmDzTPPvus6dWrV+21Q4cO9ffAk3NLwKKcB4CP5gOLrIo+wIAPf2jrASxyXtC+WGl9ITUBFll/AIt8jA7+bESFRdKHNF/Wkf0IHn/88aDiX3zxRYPwppRfEqdPnx5MZy8cW2+9tfnyyy/NxhuQy4vbxIkTzfbbb+9PuCpb0o5pUn1gkXUisMjqwAbXrlOzwbXVQjtGiA1gkdUyTljkM1/7nAksOvTu3TuARPK35O9ih8AigUZ9+vQJlqNx+FEAWORHx1xbARZZ9/sAAz4CSVsPYJHzgvbFSusLqQmwyPoDWORjdPBnIyosOvLII9WwaPLkyZEqXspG1TKV/f777zfHHnus2XvvvWs3xZQXlJtuusnceeedwT0FCLzwwguZmWGkHdNEE+2LIMvQXDgzs8hqwcwiqwMzi1zfABZZLeKERT7ztU9YJD/itGjRwmzYsMGMHj3ajBw5sugzgZwbNWpUkK8lzzRr1izSswMXNawAsIgIUSsALLIS+gADamd4qAewyHlB+2LlIyaARdYfwCIfo4M/G2mHRWFKXHvttbUPpDL9PStT2rVjmugGLLLRw8wiqwMzi9xowswiq4V2jBAbwCKrZVphkc+ZwK+++mqwPFwO+fHoiCOOKJrC5Vwhx0mZfffdNyzVcz6CAsCiCCJxScMKAIusPj7AgI9Y09YDWOS8oH2x0vpCagIssv4AFvkYHfzZiAqL5KFOuwxtypQpQcV9PnyGKSG/YLZr187I11fkCzGPPvpoWJFUnNeOadJI7YsgM4tcqDCzyGrBzCKrAzOLXN8AFlkt4oRFPvN1WEIsZSawjJOSh+WYO3eu6dy5c1Hzcq7wJWRZvi4zpTj0CgCL9Brm3gKwyIaADzDgI5i09QAWOS9oX6y0vpCaAIusP4BFPkYHfzaiwqL+/furYZF86UQOn9PaoyghG1yPHz/e7LnnnsEG2Fk4tGOaaAAsspHAzCKrAzOL3MjAzCKrhXaMEBvAIqtlnLDIZ74Oy5elwKKxY8eawYMHByalj+22225Fzcu5Tp06BeekzIknnhhWDc5HUABYFEEkLmlYAWCR1ccHGPARa9p6AIucF7QvVlpfSE2ARdYfwCIfo4M/G8Aif1rGaUk7pkldtS+CzCxyHmdmkdWCmUVWB2YWub4BLLJapBUW+ZwJXA4sGjdunBk0aFCc6TWz9wIWZda18TUMWGS19gEGfHhNWw9gkfOC9sVK6wupCbDI+gNY5GN08GcjKizq16+fembRE088EVQ8zplFsgytffv2Rtop44D2pd6f8jpL2jFN7g4ssj5gZpHVgZlFrk8ys8hqoR0jxAawyGoZJyxKar5mGZou72tLA4u0ClLeAItsEPgAAz7CSVsPYJHzgvbFSusLqQmwyPoDWORjdPBnIyosOvzww9Ww6Mknnwwq7hMWyRT4hvZSki+ijRgxIrjv3XffbU499VR/4lXRknZMk6prXwSZWeQCQAshTz/9dHU0LVu2TGUDWOTkAxZZLbRjhNgAFlkt44RFSc3XG29wLXsYynK5YgcbXKuG8noLA4sqo2uurAKLrLt9gAEfgaOtB7DIeUH7YqX1hdQEWGT9ASzyMTr4sxEVFn3rW99Sw6KnnnoqqLhPWLTHHnuY0047LXjolDFPPrUrh7zs3XLLLebWW281ApRks8yXX37Z1NTU+BOvipa0Y5pUXfsiCCxyAQAsslqwDM3qwDI01zeARVaLOGFRUvP1mjVrTIsWLYzM+B09enTtl0rrplI5N2rUqCCfS55p1qxZFbNtdm4NLMqOL6vWEmCRld4HGPDhRG09gEXOC9oXK60vpCbAIusPYJGP0cGfjbTDoo1nFQkI2mabbczatWs36W89evQwEyZMMK1bt/YnXJUtacc0qT6wyDqRZWhWB2YWuU7NzCKrhXaMEBvAIqslsMjq0Lt3bzNjxozg7+nTpxfNpIVr+vTpY6ZNm1blbJud2wOLsuPLqrUEWGSl9wEGfDhRWw9gkfOC9sVK6wupCbDI+gNY5GN08GcjKiw67LDD1DOLnn766aDiPmcWydKy559/3rzyyivmb3/7m1mxYkXwa6SAIYEAJ5xwgjn66KNNo0aN/ImWAEvaMU2aoH0RZGaRCwRmFlktmFlkdWBmkesbwCKrRZywKKn5WnQYM2aMGT58eKDJzJkz/6uvzJo1y/Ts2TM4L9cOHTo0ARk3G1UAFmXDj1VtRRLgwpZbbllVDXzdXLt3gNSjVatWqur4mLYpU0Y1h486+AA12rjadtttNTIEZbVa+IC58lKtPZIQE9o2SPkktGP58uWqpmjjWm4eFRYdeuihalj0pz/9KWivT1ikEjDFhX3AIvnKjeZo0qSJpnhQtnHjxiob2223naq8FPYBOAovN+VWZt26deUWrS0nL1maY6eddtIUD8r6ePZZsGCBqh5aCCo3P/jgg1V1aNeunaq8FJYlttpj9uzZKhNvv/22qrwU3nnnndU2XnvtNZWNefPmqcpLYVk+pTnkQwva48orr6zXxPr162uXWSc5X0s95YecOXPmBD/qCBCSPZbkkH0Nhw0bZj755JNg6bjEb2FpuVY7yhsDLCIK1AoAi9QS1hrw8cAELLJyAousDsAif/1TLAGLrJ7AIr9xFZc1YJFVGljkIg5YZLUAFrmYABZZLYBFpWUm2eevkj/uLF261PTt29csXrw4qFjhx9TCc1mHDh2C5Wdt27YtreJc3aACwCICRK0AsEgtYa0BYJGVQjubRmwAi6yWwCJ//VMsAYusnlFh0SGHHKKeWfTnP/85uCczi/SxDCyyGgKLXCwBi6wWwCIXE8Aiq0XeYFEa8rVszXDDDTcE+wkWoNGuu+5qBg4caM4991zTvHlzfaLEwiYKAIsICLUCwCK1hLUGgEVWCmCRiymtFsAif/1TLAGLrJ5RYZEsy2joE/Vh3pFfKp955pngMmBRmFrh54FFViNgkYsVYJHVAljkYgJYZLXIGywiX4fn0DxeASzKo9c9txlY5E9QYJHVUgtIxAYzi6yWwCJ//VMsAYusnsAiv3EVlzVgkVUaWOQiDlhktQAWuZgAFlktgEWlZSZ+3ClNr7RcDSxKi6cSXE9gkT/nAIuslsAiF1NaLYBF/vqnWAIWWT2jwiLZX0A7s6jwCVxmFuljGVhkNQQWuVgCFlktgEUuJoBFVou8wSLytT7HZtECsCiLXo25TcAif4IDi4BFdaMJWOQvJnz0VGBRabCoT58+alg0ffr04KbAIn0EA4uARXWjCFgELKobE8CifMIi8rU+x2bRArAoi16NuU3AIn+CA4v8gQGWoVktmVnkr3+KJWBRabCod+/ealj0l7/8BVjkKYyBRcAiYFHxzsTMIqcLsCifsIh87SnRZswMsChjDq1Gc4BF/lQHFgGL6kYTM4v8xYSPngosAhb5iKNq2QAWAYuARcCisPEHWAQsCouRYudlzyJ+3ClHuWSXARYl2z+pqB2wyJ+bgEX+wAAzi6yWzCzy1z/FErCoNFjUq1cv9cyiGTNmBDdlGZo+loFFwCJgEbAobCQBFuUTFpGvw3pGPs8Di/Lpd6+tBhb5kxNYBCyqG03MLPIXEz56KrCoNFh00EEHqWHRs88+CyzyEbz/tgEsAhYBi4BFYcMJsCifsIh8HdYz8nkeWJRPv3ttNbDIn5zAIn9ggJlFVktmFvnrn2IJWAQs8htR8VoDFgGLgEXAorBRB1gELAqLkWLnZRkaP+6Uo1yyywCLku2fVNQOWOTPTcAiYFHdaGJmkb+Y8NFTgUWlwaKePXuqZxbNnDkzuCnL0PQRDCwCFgGLgEVhIwmwKJ+wiHwd1jPyeR5YlE+/e201sMifnMAif2CAmUVWS2YW+eufYglYVBosOvDAA9WwqPBpb2CRPpaBRcAiYBGwKGwkARblExaRr8N6Rj7PA4vy6XevrQYW+ZMTWAQsqhtNzCzyFxM+eiqwCFjkI46qZQNYBCwCFgGLwsYfYBGwKCxGip2XZWj8uFOOcskuAyxKtn9SUTtgkT83AYv8gQFmFlktmVnkr3+KJWBRabCoR48e6plFzz33XHBTZhbpYxlYBCwCFgGLwkYSYFE+YRH5Oqxn5PM8sCiffvfaamCRPzmBRcCiutHEzCJ/MeGjpwKLSoNF3bt3V8Oi559/HljkI3j/bQNYBCwCFgGLwoYTYFE+YRH5Oqxn5PM8sCiffvfaah8zF7SzQLbcckuvbaqWMS0YkHon4WU2C3UQLYlLfz1h6dKlKmOdOnVSlZfCy5cvV9vIylijFeL999+v18T69etNTU1NcP6AAw5Qw6IXXngBWKR12H/K+4BFnqqiMtO4cWNV+XXr1qnKS+GddtpJbaNly5YqG6+88oqqvBTee++9VTZatWqlKi+Fv/zyS7WNNm3aqGz4aIc2LhcuXKhqgxRu166d2sZHH32ksnHssceqykvh+++/X23j73//u8qGVge5+cqVK1V18BGXd911V711IF+r3JOLwsCiXLi5so0EFvnTF1hktUyCDlIPYJG/2AYW+dMyCZaARUnwQul1ABZZzYBFLnaARVYLHy/lwCKrJbDI9S9gUel5ihLJUgBYlCx/pLI2wCJ/bksCJKEOzp/AIn+xDSzyp2USLEWFRfvvv796ZtGLL74YNJk9i/SeBxYBi+pGEbAIWFQ3JrQzaoBF6YRF5Gt9js2iBWBRFr0ac5uARf4EB9RYLZOgg9QDWOQvtoFF/rRMgqWosOib3/ymGha99NJLwCJPTgcWAYuARcU7EzOLnC7AIquFVgexkaaZReRrT4k2Y2aARRlzaDWaAyzyp3oSIAl1cP4EFvmLbWCRPy2TYAlYlAQvlF4HYBGwCFgELAobObSQhJlFTmFgUVi0cT7pCgCLku6hFNQPWOTPSYAaq2USdJB6AIv8xTawyJ+WSbAUFRbtt99+6plFL7/8ctBklqHpPQ8sAhYBi4BFYSMJsMgqpNVBbKQJFpGvw3pGPs8Di/Lpd6+tBhb5kzMJkIQ6OH8Ci/zFNrDIn5ZJsBQVFnXr1k0NiwqfcQYW6T0PLAIWAYuARWEjiRaSMLPIKZwmWES+DusZ+TwPLMqn3722GljkT05AjdUyCTpIPYBF/mIbWORPyyRYigqLunbtqoZFhc+DA4v0ngcWAYuARcCisJEEWGQV0uogNtIEi8jXYT0jn+eBRfn0u9dWA4v8yZkESEIdnD+BRf5iG1jkT8skWAIWJcELpdcBWAQsAhYBi8JGDi0kYWaRUxhYFBZtnE+6AsCipHsoBfUDFvlzEqDGapkEHaQewCJ/sQ0s8qdlEixFhUX/+7//q55Z9OqrrwZNZmaR3vPAImARsAhYFDaSAIusQlodxEaaYBH5Oqxn5PM8sCiffvfaamCRPzmTAEmog/MnsMhfbAOL/GmZBEtRYdG+++6rhkWvvfYasMiT04FFwCJgEbAobDjRQhJmFjmF0wSLyNdhPSOf54FF+fS711YDi/zJCaixWiZBB6kHsMhfbAOL/GmZBEvAoiR4ofQ6AIuARcAiYFHYyAEssgppdRAbwKKwaON80hUAFiXdQymoH7DIn5OSAEmog/MnsMhfbAOL/GmZBEtRYVGXLl3UM4vmzJkTNJllaHrPA4uARcAiYFHYSKKFJMwscgqnCRaRr8N6Rj7PA4vy6XevrQYW+ZMTUGO1TIIOUg9gkb/YBhb50zIJlqLCon322UcNi+bOnQss8uR0YBGwCFgELAobToBFViGtDmIjTbCIfB3WM/J5HliUT797bTWwyJ+cSYAk1MH5E1jkL7aBRf60TIIlYFESvFB6HYBFwCJgEbAobOTQQhJmFjmFgUVh0cb5pCsALEq6h1JQP2CRPycBaqyWSdBB6gEs8hfbwCJ/WibBUlRY1LlzZ/XMotdffz1oMsvQ9J4HFgGLgEXAorCRBFhkFdLqIDbSBIvI12E9I5/ngUX59LvXVgOL/MmZBEhCHZw/gUX+YhtY5E/LJFiKCov23ntvNSyaN28esMiT04FFwCJgEbAobDjRQhJmFjmF0wSLyNdhPSOf54FF+fS711b7gEVeK1QlYz4gy/Lly6tUe3fbli1bquuwZs0atY0kGNBq0dALddT2bbbZZlEvLXrdlltuqSovhbXQTGxo6+GjDmohPBjQ6uDLH9qmLFu2rF4T69evNzU1NcH5vfbaSw2L3njjjcAWM4u0XjPGByxq3LixqiLr1q1TlfdR+IsvvlCbadOmjdqGVgsfzww777yzqh2tW7dWlZfC//M//6O2UZiBWK6hU089tdyiteWWLFmisqHtW3LzVatWqeoghV9++WWVjaTAoobyVJQGakGP3EPbx33ExMSJE8nXURzONUUVABYRGGoFgEVWQmCRCyVgkdUCWORiQgtJgEVOyyRoASxSp86qGAAWWdmBRS78gEVWC2CRiwlgkdUCWFRamvrqq68MP+6UplkargYWpcFLCa8jsAhYVDdEgUXAoroxASyyimh1EBtpgkV77rmnembRm2++GWjHzCL9wwCwyGoILHKxBCyyWgCLXEwAi6wWeYNF5Gt9js2iBWBRFr0ac5uARcAiYFHxTsfMIqeLFpIkAZD4GFq1OqQNFn3jG99Qw6K33noLWOQj+P5tA1gELKobSsAiYFHdmAAW5RMWka89JdqMmQEWZcyh1WgOsAhYBCwCFoWNPVpIAixyCidBi6jL0Hj4DOsZ8Z4HFgGLgEXF+xwzi5wuwCJgUTmZSZah8eNOOcoluwywKNn+SUXtgEXAImARsChssAIWWYW0OoiNNMEi2bhWs0m7PHy+/fbbgXYsQwvrZeHngUXAImARsChspAAW5RMWka/DekY+zwOL8ul3r60GFgGLgEXAorBBRQtJkgBIwtoY5bxWh7TBoj322EMNi+bPnw8sihJcEa4BFgGLgEXAorChAliUT1hEvg7rGfk8DyzKp9+9thpYBCwCFgGLwgYVLSQBFjmFk6BF1GVoPHyG9Yx4zwOLgEXAImBR2KgDLAIWhcVIsfMyE5gfd8pRLtllgEXJ9k8qagcsAhYBi4BFYYMVsMgqpNVBbKQJFu2+++7qmUULFiwItGMZWlgvCz8PLAIWAYuARWEjBbAon7CIfB3WM/J5HliUT797bTWwCFgELAIWhQ0qWkiSBEAS1sYo57U6pA0WderUSQ2LFi5cCCyKElwRrgEWAYuARcCisKECWJRPWES+DusZ+TwPLMqn3722GlgELAIWAYvCBhUtJAEWOYWToEXUZWgdO3ZUw6JFixYBi8I6WMTzwCJgEbAIWBQ2XACL8gmLyNdhPSOf54FF+fS711YDi4BFwCJgUdigAiyyCml1EBvAorBo43x9CgCLgEXAImBR2AgJLAIWhcVIsfOyZxE/7pSjXLLLAIuS7Z9U1A5YBCwCFgGLwgYrLSRJAiAJa2OU81od0gaLdtttN/XMor/+9a+BtOxZFCXCGr4GWAQsAhYBi8JGEmBRPmER+TqsZ+TzPLAon3732mpgEbAIWAQsChtUtJAEWOQUToIWUZehdejQQQ2LFi9eDCwK62ARzwOLgEXAImBR2HABLMonLCJfh/WMfJ4HFhqSo3kAACAASURBVOXT715bDSwCFgGLgEVhgwqwyCqk1UFsAIvCoo3z9SkALAIWAYuARWEjJLAIWBQWI8XOyzI0ftwpR7lklwEWJds/qagdsAhYBCwCFoUNVlpIkgRAEtbGKOe1OqQNFu26667qmUXvvPNOIC3L0KJEWMPXAIuARcAiYFHYSAIsyicsIl+H9Yx8ngcW5dPvXludBFjk40VS+xKXhDr4cGwS2tGsWTN1U9asWaO2odWiZcuW6josXbpUZUM+hao9VqxYoTWhng2j7Z/qBmBgEwXef//9ehVZv369qampCc63b99eDYvefffdisKi1atXmxtvvNGMHz/eCJiSX0dlOv7AgQPNOeecY5o3b54Z7/uARVoxGjdurDVh1q1bp7Kx1VZbqcpL4S+++EJtQ9sOH1rutNNOqnasXLlSVV4KN23aVG1DxhrN8a9//UtTPCjbqlUrlQ0f+XrmzJmqOkhhgQaa45lnntEUD8o2tNQ5qnHtM1gS+riPsWrcuHH1Spa2fB3V91znTwFgkT8tc2sJWGRdrwULYiMJL8RJaAewyA0nwCKrRRL6Rm4H+SINzwoskv7Vt2/f2qnzhZfWtWvXBq0WaDRt2jTTtm3bTLgfWGTd6OMFLAkvksAi1y2BRVYLYJGLCWCR1QJYlIn0XbVGAIuqJn12bgwssr5MAmTxEVVJaAewyHkSWGS1ABb56N3+bESFRe3atVPPLFqyZElQcd/L0OQX1W7dupk5c+aYHXbYwYwZM8b069cvuNfUqVPNsGHDzKeffmq6dOliZs+ebTbffHN/AlbJErDICg8scgHIzCKrBTOLXEwws8hqkQQg7GOsigqLkpyvq5Qyue2/FQAWEQZqBYBFVsIkQBa1MxPSDmCR8ySwyGoBLPLRu/3ZiAqLdtllFzUseu+994KK+4ZFAoeGDx8e2J4xY4Y56KCDNhHo2WefNb169Qr+Ta4dOnSoPwGrZAlYZIX38QKWhBdJZha5jsTMIqsFM4tcTDCzyGoRFRYlOV9XKWVy238rACwiDNQKAIushMAiF0raF3tgkdMSWGS10MaUeqDDwCYKRIVFkh8222yzstWT/YMK9/INi3r37h1AIvl7+vTpResosEigUZ8+fYLlaGk/gEXWg8AiF8nMLLJaMLPIxQQzi6wWSQDCPsaqqLAoyfk67bk3zfUHFqXZewmpO7DIOgJY5AJS+2IPLHJaAousFtqYSshwmZlqpB0WyQb4LVq0MBs2bDCjR482I0eOLOobOTdq1KhgCdqqVauMj7GpmkEALAIW1Y0/YBGwqG5MAIuAReXkqUr+uFNOfSjjRwFgkR8dc20FWAQsqtsBtC/2Pl7I+Bqa9YqPr6vwNbRcD/FFGx8VFsnG0NqZRQVgKr/yNrRvUCl7Cr366quma9euQdsmT55sjjjiiKLtlHMFwCJl9t1331QHA7AIWAQsKt6FmVnkdAEW5RMW+czXvmcCpzrxprzywKKUOzAJ1QcWAYuARcV7ona9vFhlZpHVVgsgkzBWZqkOUWHRzjvvrIZFH3zwQSTp5FfNqMekSZPMgAEDgsvnzp1rOnfuXLSonJMNruV4/PHHzZFHHhn1Fom8DlgELAIWAYvCBidgUT5hkc98DSwK62XpOQ8sSo+vEltTYBGwCFgELAoboLTLNIFFYQrHez7tsGjs2LFm8ODBgWiLFi0yu+22W1EB5Vxhdp6UOfHEE+MV2vPdgEXAImARsChsWAEWAYvCYqTYefnBpvDjDrCoHAWTWQZYlEy/pKpWwCJgEbAIWBQ2aAGLwhRK1/mosEj2Q9EuQ/vwww8DcXwuQysHFskmoYMGDUqXo+rUFlgELAIWAYvCBjFgUT5hkc98DSwK62XpOQ8sSo+vElvTasMi+dW3b9++Zp999jEdO3Y0svRnm222CTacfuedd4Iv2Pzud78zn3zySYMaamcuaF+GpXLaOvgIkiS0gz2LnCdZhma1SELf8NG/smIjKixq06aNGhZ99NFHgWw+Hz5ZhladSJTnhQMPPNB06NDByIvJ1ltvbZo3bx6AwI8//tjMmTPHTJ061Xz22WcNVnDdunWqBvj4wlASvpTUuHFjlQ5SmA2urYTsWeRCCViUT1iU1HytHuQwoFIAWKSSj8KiQLVh0XnnnWfOOuusWmfIA9zatWsDYFQ45CHghz/8oXnyySfrdZr2ZTQJkMVHRCahHcAi50lgkdVC2z999A1sOAWiwqIdd9xRDYsEIsjhExZtvMH1lClTTP/+/Yu6lw2u/Ub9ySefvMnsrC+//NII+BFgVDjk4wQ33nijmT17dr03BxZZaYBFLkTat2+vClZgkZMPWGS1SAIQ9gG2ZVZsfcf69etNTU1NcDqp+VrVsSmsVgBYpJYQA9WGRbLhqAxwL730knn77bfNP//5z8ApTZs2NYcccoi59NJLjSS+1atXm549e9a7YbD2ZTQJkMVHNCahHcAi50lgkdVC2z999A1sOAXSDosESLRo0cJs2LDBjB492owcObKoe+XcqFGjgq+wrVq1yvgYm6oZR9VehiazimQT1fnz5xuJIcnLcgj0kC/NnXLKKUE+lx98fvrTn5q///3vReUCFllZgEUuPIBFVouZM2eqhxhgkZUQWFRaKMmeRZX4cae0WnC1bwWARb4VzaG9asMikbwhwCHT3V988cXAM7/85S+DXyyLHdqX0SRAFh/hl4R2+Hghk5dB7aHVgq+hOQ9otdT2T20sUH5TBaLCotatW6tnFhWWEPucWSSt6d27t5kxY0bw9/Tp04u6uHBNnz59giXNaT+qDYtEv4YAh4Ci2267LZD5gQceMBMmTCgqObDIygIscuEBLLJaAItcTGifwfIGi5Kcr9Oee9Ncf2BRmr2XkLonHRaJTPJFm69//etmzJgx5vzzzy+qXOFl9MEHHzTdu3cPoJL8ka/fyKam8rUc2ah1wYIF5t577zV//OMfN7FTeBl+9NFHgz0ZrrnmGnPdddeZ4cOHB+UFWskDruzJIP/+8ssvB+UbNWpkhgwZYk466aTgGvl/+VzzTTfdVAu54nS19qVe6qp9sQcWOY8zs8hqoY2pOPtQHu4VFRbtsMMOalj0t7/9LZDUNyySfCDjc+EFS8btjY9Zs2YFs1HlkGuHDh2aetcmHRaJwL///e+NLL144oknzF133VVU8wIsuuqqq8zee+9tZMNy+XP44Yebb33rW6Zt27ZBOYnTxx9//L9gYGFpx89+9jPzjW98w4wfP95MnDgxKNurVy8jL02yPEP2PRRgJc8QcsgzwKGHHhoARrlG8vVf//pXI88Nb731VsnxoYVewCInObDIagEscjEBLLJaRF2GluR8XfLgSgFvCgCLvEmZX0NJh0W77767kYd+OWRJWuFXy7oeqwuLbr75ZrPHHnsED5+yr4LMVJHNOAuHwJwbbrih9v/rwqLrr7/edOnSJVgKJw+E8keWPcghv1bI3g1Sr/vuu6/2Gvn3wkOs3FNeZP7yl7/EGlzAIie3Vgvtg4rUBFhk/QEsinUYCL1ZFmCRwIBu3boFAF9e/AUIyXgvh+xvN2zYsODDCDKOy/45shQt7UfSYZFAHsm9cgg0kh9fih11YdEf/vAHs8suuwQ/9AhUlFy68T5IBZhUsFUXFsmPP7L0Rj6UIeUl/xZ+tJD/lh94BAbJHomFa6QOhXFJygi4eu2110oKEWCRlUu2DdAewCKrILDIRZL2GSxvM4uARdpRKJvlgUXZ9GusrUoiLJLN2rbbbrvgF0LZb0IeQFesWGEOOOCA4O9iR11Y9I9//CN4ObjsssvMY489Fjx8yguFLGU77LDDgl8d5StsS5YsCczVhUVSXo4LLrjAyJd35KFQvtZ25513ms6dO9d+qW3gwIG110i9ZQaTPCzLr6XyQnbQQQcZWQcc16EFJFJP7Ys9M4uct4FFVgttTMXVf/Jyn6iwaPvtt1fPLPr0008DWX3PLBKb0r9kHF+8eHFwj8LYU1jGKrM9ZflZYaZK2v2bRFgkefZrX/takPNkJq/kbtkf6sc//nHwd7GjLiyS68SOzESSpYVyXl4UzzjjDLP//vsH+fr00083hS/r1YVFhc2NBRjK/ocSa/JlIKmDQAiBhq+//rrp0aNHABXlGtlvSb4kNmLEiAA0yQw4uV8p+RpYZL0LLLI6yNd9tQewyCkILLJaRJ1ZlPR8re0blC9PAWBRebpRaiMFWrVqpdbD14ug7E0kex7UPWQzzZ/85CfBErKwo7AMTa6TpWF1E69M+5Z/E3AkS81uvfXWTUxuXP7YY48NHio3PuTXz2effbb2n4pd065du+CBV45jjjmmwa/ChLWn1PNJATWl1rsS12vBma+41rRN2wbNvTcumwQtfLUFO3Z5T33Hxl9XkRd/WbpT7iEv3oVNjisBi6Re8tIvs0RluVEBGsnLv4D8c889d5MZKuW2IynlfMAiH0ufRI/f/OY3AdCpe7z33nvBEvCGYqwAkWTGj8z0kUM2Ka87s2eLLbYIlo3Lc4pAHplhJEeTJk2CvwvL2OS/5YedN998c5PqyPOE1LNwFLtGoFJhuZwsc5cPbcR1+Jj5UNCi3Dr7iIeNZ21Xqx5acFduvTcu5wOaFT7yoqmPNiZWrlypub23slqf+uhf2sZofSH3l6W49R1py9daPSlfugLAotI1o0QdBZIEi+QzxzKNUhJu4eFj3rx55he/+EXk/X8KsEeWHQioKXZce+215oQTTghmDJ155pmbXFIoL3sSyctGsUOWlsmvlQKSBBYVOwQWCTS6+OKLg6VqcR3AIqe0FrQkAZBo2+Ar7pKgha+2YCdbsChP/kwSLBLQI3sJCmwoLBkTWCdQJ2z/n7qwSCDP2WefXdSVAvz69esX7FskM4PlqAuLpLyAoGKHgCABQlGuuf32282UKVNiCykfL7Pal1FgkT93A4v8aSmWgEVWT2CR37jKmzVgUd48XoH2JgkWbdw8mdYu+0+cc845wWwj+UXxoosuCj6V3NBRgD3ya+Lll19e9FLZt+Css84KZggNHjx4k2sK5eUB84orrihaXn7B3m+//YJfI8OuKTZ7qQJurDUJLAIWVSK+gEWVULV6NqPOLJL8oJ1ZtGzZsqChlZpZVD0V479zkmDRxq2X/fxkuZh8DEJmGz311FNBfqwvX9eFRbJBtSzxLnbIxuSSp1955ZVgWbocdWGR7Fn029/+tmj50aNHmz333DP4qEXYNTKL6aGHHorNscAiJ7UWWmnBgg+nA4t8qOhsaH3qo39pW6SFuXL/qLCIfK31VjbLA4uy6ddYW5VUWFQQQfYUePrpp4PNpaPM0qn7NbRiYsoeBfLn+eefD2YYbXxEKe/rmko4GljkVNXOykkCING2wVeMJUELX23BTvSZRfLir4VFy5cvDyQHFukjL6mwqNAyWbYoH4+QPCSwSL6IVuyoC4sE0tQ3A/d73/ueOeWUU4KvjMoPPcVgUd0NsDe+Z90vrhWrT5Rr9N77bws+Xma1L6NaSCOtYhma9S2wyG8vARZZPaPCIvK13/jLijVgUVY8WcV2JB0WiTSyH4Us95Kp7TIdvaEjCsgBFjUccIXNYasYll5urQUtSQAk2jZ4EfLfRpKgha+2YCc6LNp2223VsKjwUQJgkT7ykg6LpIWyv2Dh4xEyM7jYASyyqgCLXHRooZUWLOh7J7DIh4Yb29D61Ef/0rZJC3NLgUXka623slkeWJRNv8baqjTAItn4Ur5qIi/Oe+yxB7CoAQWYWeTE0YKWJAASbRt8DSZJ0MJXW7ADLEprDKQBFsmSMdnvb+3atcFHJoBF9Uebj5dZ7cuoFtJI65hZZH3MzCK/IyuwyOoZdWYRsMhv/GXFGrAoK56sYjvSAIvki2UDBgwIvqrTtWtXYBGwKFKP0YKWJAASbRsiCRXhoiRoEaGaXBJRgah7FskGxtplaJ999llQK2YWRXROA5elARbJbKKePXuaf/zjH2b48OHAogb8CSxy4mihlRYs6HsnsMiHhhvb0PrUR//StkkLc0uBReRrrbeyWR5YlE2/xtqqasMieRGRzyvXd3Ts2NHIV9LkF5tiXy+rW45laM3U8cMyNCthEgAJsEgdzhgookBUWCQfGtDCIoEGwCI/YVhtWBSWr3feeWcjXxuVF6RZs2aZ66+/HlgELIoU/MAiK9M///nPSHo1dJEWUKxcuVJdBx8GgEVWxagzi8jXPqIuezaARdnzaewtqiYskqnL8oWS+++/30ybNs289957teBI6tW/f//ga2iyaZtMaZcH5YULFzaoEbAIWFQIEC1oARa5rpYELWIfHDN8Q2BROp1bTVgkY8DVV18dbFr92muvmU8++aQ2X2+zzTame/fuwQcj5L/lJe/88883S5cuBRYBiyJ1NmARsKhuoACLgEWRBg8ualABYBEBolag2rDojTfeqG2DJIZ//etfZosttjBbbbVV7b9/+umn5uyzzzYzZ84MbS+wCFgELArtJiVfACwqWbJEF4gKi+TFXzuzqPBLOcvQ9CFRbVgkP+wUji+//NLILNSamppNZmHKssObb77ZvP766/U2mA2urTQ+lsloZ5FoIY20gz2LrD/Zs0g/xm1sAVhUGiwiX/uNv6xYAxZlxZNVbEc1YZG8hBx22GHBL5L77ruvad26tZEN2uSQB8758+cHM47Gjx8fQKQoB7AIWAQsitJTSrsGWFSaXkm/OioskpdALSwqLGkAFumjopqwSOJgv/32M3vttZfp1KlTkKslPmQZueRnmRn86quvBjk7bCkzsAhYVLc3aKGVFizoeyewyIeGwKL/VjHqMjTyte8IzIY9YFE2/FjVVlQTFlW14Rm9OV9Dc45lGZq/IAcW+dMyCZaARUnwQul1qCYsKr229ZcowKJybWpn05R7X9/lmFnkFAUWWS3Ys8jFhBYA+uhf2j7vY6wCFmm9kO/ywKJ8+99L633BIlk6xuFHAZneX+4BLAIWlRs7DZUDFlVC1erZjAqLZDmwdmZRAQwws0jvbx+wKAl9OUuwSOK63MPHy6z2ZVQLaaTtLEOzEcAytHJ7QvFywCKrS1RYlKd8LePujBkzgv3zZEar/L1gwQKzYcMG07t3bzN9+vRIwSjvW3fccYcZO3ZsUF5i7v/9v/9njjrqKDNy5Ejj4x05UkUqeBGwqILi5sW0j44g62QXL16cF8kq3s4OHTqYcoERsAhYVIkATcILZiXalVebUWFRixYt1LCosIQYWKSPNi0skv2FHnnkEX1FsFCrwHe/+11TLjACFrlA0kIrLVjwEdLAIh8qOhtan/roX9oWaWFuKbAoT/l6yZIlpn379kXdExUWySw+2Qrl5ZdfDuzIGCQTH1avXh38/3bbbWeefvpps88++2jDoKrlgUVVlT8bNwcWJc+PwCI/PmEZmh8dxQqwyJ+WSbAUFRY1b95cDYsKD17AIr3ngUV6DX1bABYxs6gQU8Aiv70LWGT1jDqzKE/5WmDR3nvvHYAc2fNW/owbN8786U9/ijyzaMCAAWbSpElGIJvMLho0aFDwwYbnn3/eDBkyxCxatMjstNNO5u23397ko0t+o7zy1oBFldc483cAFiXPxcAiPz4BFvnREVjkT8ekWAIWJcUTpdUDWFSaXnFcDSwCFgGLKtPTgEXAovoiS5abyRL5jZfJn3zyyeaBBx6IBIvkQwwHH3xwYP6+++4zUnbjQ0CRwCiZnXbppZeayy67rDJBHoNVYFEMImf9Fj5gkUzb+/jjj7MuVWzt08Ci2CrJjVAABVKrQFRYJDPKtHsWFaAtM4v04SJT5jWH/Go6depUjQnK1lHgiCOOKHsZmnbpVZacoV0y5GO5T1b0TIKWsn+O9tDubeajf2mBlVYDKR91ZlHe83UpsEhmDt17772mXbt2wTYqjRo1+i9XnXLKKQFIkmveffddH66sig1gUVVkz9ZNgUXJ8yewKHk+oUYokCUFosIi2QNNC4sKn1EHFukjCFik19C3BWCRH0WTADj8tKT6VpKgJbDIXxxEhUV5z9elwKI2bdoEkxxOP/10c/vttxd11oMPPhgsTZNj4cKFpmPHjv6cGqMlYFGMYmf1Vj5gkWij+Roa+6FsGl3lbm6d1RilXSiAAn4VABb51TMua1pYJPWUfS00h+zvoD0Km55r7WjK+5h1IO0od3NrqbuPOmg0SFLZJACOJOmhqUsStAQWaTy4aVlgUTQto8KiFStWmJYtWwZGb7vtNnPGGWcUvcGbb75p9tprr+DcxIkTzdFHHx2tIgm7CliUMIeksTq+YJGm7cAijXqURQEUQIHSFIgKi2TDVu3MorVr1waVY2ZRaT4qdrUPWKRdrpOEl0C9kn5AjRZ6AYucJ5MAOHzEVRJsJEHLJIwTPvpXmpah+czXEkObb755veHc0Llq9YGosGjevHmmc+fOQTUfffRRIxtdFzvka2lf+9rXglO33nqrOfPMM6vVNNV9gUUq+SgsCgCLiAMUQAEUyJcCUWGRgAUtLCq8uACL9DEGLNJrWLDg40USWOTPH0kAHP5aU11LSdASWOQvBqLOLPKZr8Nq/9VXX4VdEvv5qLDoueeeMwceeGBQv6efftoceuihResqqzwKeeLKK680F154Yext8nFDYJEPFXNuA1iU8wCg+SiAArlTAFiUTpcDi/z5DVjkT0sflpIAOHy0Iwk2kqAlsMhfJGQBFkkbjjrqqLJFifJFMt+wSH7gKmyxctVVV5lRo0aVXf9qFgQWVVP9jNwbWJQRR9IMFEABFIioQFRYJC/U2plFhWn8zCyK6JwGLgMW6TUsWAAW+dPSh6UkAA4f7UiCjSRoCSzyFwlRYZHPfO17GVqSYBHL0PzFJpZyogCwKCeOppkogAIo8B8FosIi+VVNC4sKG/YDi/ThByzSawgs8qehT0tJABw+21NNW0nQEljkLwKiwqIk52t5DpA9gMo9ZG/bsP1to84s2niDa/kSmnwRrdjBBtfleotymVMAWJQ5l9IgFEABFGhQgaiwqKamRg2LCl+LAhbpgxJYpNcQWORPQ5+WkgA4fLanmraSoCWwyF8ERIVFec/XUWGReKZNmzbm448/DkCRAKNix4MPPmgGDRoUnFq4cKHp2LGjP6fGaIllaDGKndVbAYuy6lnahQIogALFFQAWpTMygEX+/MYyNH9a+rCUBMDhox1JsJEELYFF/iIBWBRNy1Jg0ZAhQ8y9995r2rdvbxYvXlz0R7HCNe3atTPvvvtutEok8CpgUQKdkrYqAYvS5jHqiwIogAI6Bf5/e3eMIlUWRgH4jbgBA1PdgGBuJOaaNrgQ19Ib0MhEDA3ETHADmrkHOzDRnnkFNTA40K/7XK1bpz5hgmHef+v936mh6GNX1dayaP163PRtaD9+/NjdrN8syjJbp5VFueH+BGXROMsRJ81QcIzYY4YzZrBUFo17Jmwti0799fo6ZdH79++XJ0+e7EJ6+fLl8vz58/8EthZIDx48WL5//75s+XDtcWmPP0lZNN705E5UFp1c5BYmQODEBbaWRbdu3YrLop8/fyqLBj3flEWDIP85Rlk0znLESTMUHCP2mOGMGSyVReOeCVvLolN7vV4/A2n/mYir9vqWstevXy+PHj1a3rx5828Aa4l2586dXwJ59uzZ8vbt22V9rp6fny9nZ2fLeu3Hjx+X9beK1reerW9X+/z58+6aY/2jLDrW5Ca6b2XRRGG4FQIECPwBAWXRH0D+DQ+hLBqHqiwaZznipBkKjhF7zHDGDJYjfrj+9u1bxDni//H9t3lGNxIOK4v+H/Dx48fLhw8frtS9f//+8vXr11+uW8um9TX106dPu/+2Pl/Wfy4uLnb/fvfu3eXdu3fLw4cPr3yMmS9QFs2czpHcm7LoSIJymwQIEBgksLUsWt+Clr4N7fLycnfX3oaWh6csyg33J4z4QXL/Q8VN72rEPdz0sWebm6HgmM3kpvczg6Wy6Kbp/Tq3tSw6tdfrtCxapdffTFo/4PrVq1fLly9flrUcvHfv3vL06dPlxYsXu8Lo2P8oi449wQnuX1k0QQhugQABAn9QYGtZtN5SWhbt11IW5QEri3JDZdE4w5EnzVBwjNznkGfNYKksGvcM2FoWeb0eZ950krKoKc0D7aIsOhC8hyVAgMCBBK5TFo26RWVRLqksyg2VReMMR540Q8Excp9DnjWDpbJo3DPgOmXRqEf1ej1K8vDnKIsOn8HR34Gy6OgjtAABAgSuJaAsuhbXNBcri8ZFMeItYN6GNi6PGQqOcdsc9qQZLJVF454DyqJxlqd4krLoFFO3MwECBAgQ+E0C61fd3759e/jp/qZyOKkDCRAgQOCEBbxen3D4G1dXFm2EchkBAgQIECBwtcD6gdT7r7u/+urtV6Rf67v9kVxJgAABAgT6Bbxe92ecbqgsSgXNEyBAgAABAgQIECBAgAABAgSKBJRFRWFahQABAgQIECBAgAABAgQIECCQCiiLUkHzBAgQIECAAAECBAgQIECAAIEiAWVRUZhWIUCAAAECBAgQIECAAAECBAikAsqiVNA8AQIECBAgQIAAAQIECBAgQKBIQFlUFKZVCBAgQIAAAQIECBAgQIAAAQKpgLIoFTRPgAABAgQIECBAgAABAgQIECgSUBYVhWkVAgQIECBAgAABAgQIECBAgEAqoCxKBc0TIECAAAECBAgQIECAAAECBIoElEVFYVqFAAECBAgQIECAAAECBAgQIJAKKItSQfMECBAgQIAAAQIECBAgQIAAgSIBZVFRmFYhQIAAAQIECBAgQIAAAQIECKQCyqJU0DwBAgQIECBAgAABAgQIECBAoEhAWVQUplUIECBAgAABAgQIECBAgAABAqmAsigVNE+AAAECBAgQIECAAAECBAgQKBJQFhWFaRUCBAgQIECAAAECBAgQIECAQCqgLEoFzRMgQIAAAQIECBAgQIAAAQIEsCF44gAAB2dJREFUigSURUVhWoUAAQIECBAgQIAAAQIECBAgkAooi1JB8wQIECBAgAABAgQIECBAgACBIgFlUVGYViFAgAABAgQIECBAgAABAgQIpALKolTQPAECBAgQIECAAAECBAgQIECgSEBZVBSmVQgQIECAAAECBAgQIECAAAECqYCyKBU0T4AAAQIECBAgQIAAAQIECBAoElAWFYVpFQIECBAgQIAAAQIECBAgQIBAKqAsSgXNEyBAgAABAgQIECBAgAABAgSKBJRFRWFahQABAgQIECBAgAABAgQIECCQCiiLUkHzBAgQIECAAAECBAgQIECAAIEiAWVRUZhWIUCAAAECBAgQIECAAAECBAikAsqiVNA8AQIECBAgQIAAAQIECBAgQKBIQFlUFKZVCBAgQIAAAQIECBAgQIAAAQKpgLIoFTRPgAABAgQIECBAgAABAgQIECgSUBYVhWkVAgQIECBAgAABAgQIECBAgEAqoCxKBc0TIECAAAECBAgQIECAAAECBIoElEVFYVqFAAECBAgQIECAAAECBAgQIJAKKItSQfMECBAgQIAAAQIECBAgQIAAgSIBZVFRmFYhQIAAAQIECBAgQIAAAQIECKQCyqJU0DwBAgQIECBAgAABAgQIECBAoEhAWVQUplUIECBAgAABAgQIECBAgAABAqmAsigVNE+AAAECBAgQIECAAAECBAgQKBJQFhWFaRUCBAgQIECAAAECBAgQIECAQCqgLEoFzRMgQIAAAQIECBAgQIAAAQIEigSURUVhWoUAAQIECBAgQIAAAQIECBAgkAooi1JB8wQIECBAgAABAgQIECBAgACBIgFlUVGYViFAgAABAgQIECBAgAABAgQIpALKolTQPAECBAgQIECAAAECBAgQIECgSEBZVBSmVQgQIECAAAECBAgQIECAAAECqYCyKBU0T4AAAQIECBAgQIAAAQIECBAoElAWFYVpFQIECBAgQIAAAQIECBAgQIBAKqAsSgXNEyBAgAABAgQIECBAgAABAgSKBJRFRWFahQABAgQIECBAgAABAgQIECCQCiiLUkHzBAgQIECAAAECBAgQIECAAIEiAWVRUZhWIUCAAAECBAgQIECAAAECBAikAsqiVNA8AQIECBAgQIAAAQIECBAgQKBIQFlUFKZVCBAgQIAAAQIECBAgQIAAAQKpgLIoFTRPgAABAgQIECBAgAABAgQIECgSUBYVhWkVAgQIECBAgAABAgQIECBAgEAqoCxKBc0TIECAAAECBAgQIECAAAECBIoElEVFYVqFAAECBAgQIECAAAECBAgQIJAKKItSQfMECBAgQIAAAQIECBAgQIAAgSIBZVFRmFYhQIAAAQIECBAgQIAAAQIECKQCyqJU0DwBAgQIECBAgAABAgQIECBAoEhAWVQUplUIECBAgAABAgQIECBAgAABAqmAsigVNE+AAAECBAgQIECAAAECBAgQKBJQFhWFaRUCBAgQIECAAAECBAgQIECAQCqgLEoFzRMgQIAAAQIECBAgQIAAAQIEigSURUVhWoUAAQIECBAgQIAAAQIECBAgkAooi1JB8wQIECBAgAABAgQIECBAgACBIgFlUVGYViFAgAABAgQIECBAgAABAgQIpALKolTQPAECBAgQIECAAAECBAgQIECgSEBZVBSmVQgQIECAAAECBAgQIECAAAECqYCyKBU0T4AAAQIECBAgQIAAAQIECBAoElAWFYVpFQIECBAgQIAAAQIECBAgQIBAKqAsSgXNEyBAgAABAgQIECBAgAABAgSKBJRFRWFahQABAgQIECBAgAABAgQIECCQCiiLUkHzBAgQIECAAAECBAgQIECAAIEiAWVRUZhWIUCAAAECBAgQIECAAAECBAikAsqiVNA8AQIECBAgQIAAAQIECBAgQKBIQFlUFKZVCBAgQIAAAQIECBAgQIAAAQKpgLIoFTRPgAABAgQIECBAgAABAgQIECgSUBYVhWkVAgQIECBAgAABAgQIECBAgEAqoCxKBc0TIECAAAECBAgQIECAAAECBIoElEVFYVqFAAECBAgQIECAAAECBAgQIJAKKItSQfMECBAgQIAAAQIECBAgQIAAgSIBZVFRmFYhQIAAAQIECBAgQIAAAQIECKQCyqJU0DwBAgQIECBAgAABAgQIECBAoEhAWVQUplUIECBAgAABAgQIECBAgAABAqmAsigVNE+AAAECBAgQIECAAAECBAgQKBJQFhWFaRUCBAgQIECAAAECBAgQIECAQCqgLEoFzRMgQIAAAQIECBAgQIAAAQIEigSURUVhWoUAAQIECBAgQIAAAQIECBAgkAooi1JB8wQIECBAgAABAgQIECBAgACBIgFlUVGYViFAgAABAgQIECBAgAABAgQIpALKolTQPAECBAgQIECAAAECBAgQIECgSEBZVBSmVQgQIECAAAECBAgQIECAAAECqYCyKBU0T4AAAQIECBAgQIAAAQIECBAoEviraBerECBAgAABAgQIECBAgAABAgQIhAJ/A3kOZyezdJFKAAAAAElFTkSuQmCC\" width=\"639.65\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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",
       "    // 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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\" width=\"639.65\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<AxesSubplot:title={'center':'Au'}, xlabel='x axis (nm)', ylabel='y axis (nm)'>,\n",
       " <AxesSubplot:title={'center':'Pd'}, xlabel='x axis (nm)', ylabel='y axis (nm)'>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#plot intensities \n",
    "hs.plot.plot_images(intensities, axes_decor='off', scalebar='all')\n",
    "hs.plot.plot_images(atomic_percent, axes_decor='off', scalebar='all')\n",
    "#intensities[1].plot()"
   ]
  }
 ],
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