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commune_urban_typology.ipynb
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commune_urban_typology.ipynb
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			{
			"cells": [
			{
			"cell_type": "code",
			"execution_count": 1,
			"id": "occupied-blame",
			"metadata": {},
			"outputs": [],
			"source": [
			"import geopandas as gpd\n",
			"import os\n",
			"import pandas as pd\n",
			"import time\n",
			"\n",
			"%matplotlib notebook\n",
			"import matplotlib.pyplot as plt\n",
			"\n",
			"from geo_util import *"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 2,
			"id": "anonymous-jacob",
			"metadata": {},
			"outputs": [],
			"source": [
			"new_typologies_LV95 = gpd.read_file('/work/hyenergy/raw/Surface_data/CORINE/corine_typologies_new_LV95')"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 3,
			"id": "historic-discussion",
			"metadata": {},
			"outputs": [],
			"source": [
			"communes = load_CH('commune', crs = 'LV95', year = 2017)"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 4,
			"id": "interesting-ability",
			"metadata": {},
			"outputs": [],
			"source": [
			"landTyp = gpd.read_file('/work/hyenergy/raw/Surface_data/landscape_typology/landscape_typology')"
			]
			},
			{
			"cell_type": "markdown",
			"id": "bronze-packing",
			"metadata": {},
			"source": [
			"# Select relevant urban typologies"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 5,
			"id": "pregnant-cartoon",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/plain": [
			"array(['Urban fabric', 'Industrial or commercial areas', 'Natural areas',\n",
			" 'Water bodies and glaciers', 'Agricultural areas', None],\n",
			" dtype=object)"
			]
			},
			"execution_count": 5,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"new_typologies_LV95.CATEGORY.unique()"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 6,
			"id": "parental-singing",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/plain": [
			"array(['Urban areas', 'Industrial or commercial areas', 'Natural areas',\n",
			" 'Water bodies and glaciers', 'Agricultural areas',\n",
			" 'Suburban areas', None], dtype=object)"
			]
			},
			"execution_count": 6,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"new_typologies_LV95.Typology.unique()"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 7,
			"id": "otherwise-surveillance",
			"metadata": {},
			"outputs": [],
			"source": [
			"relevant_typologies = ['Urban fabric', 'Industrial or commercial areas', 'Agricultural areas']\n",
			"urban_typ = new_typologies_LV95[new_typologies_LV95.CATEGORY.isin(relevant_typologies)]"
			]
			},
			{
			"cell_type": "markdown",
			"id": "successful-liechtenstein",
			"metadata": {},
			"source": [
			"# Commune areas without upper alps"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 8,
			"id": "virtual-triangle",
			"metadata": {},
			"outputs": [],
			"source": [
			"upper_alps = landTyp[landTyp.landTyp == 'Alps (upper)'].to_crs('EPSG:2056')"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 9,
			"id": "rapid-router",
			"metadata": {},
			"outputs": [],
			"source": [
			"communes_merged = communes[['geometry','BFS_NUMMER']].dissolve(by = 'BFS_NUMMER').reset_index()"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 10,
			"id": "contrary-african",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/plain": [
			"True"
			]
			},
			"execution_count": 10,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"comm_nonNa = communes[['BFS_NUMMER', 'GEM_FLAECH', 'KANTONSNUM', 'ICC', 'EINWOHNERZ']].dropna(subset = ['GEM_FLAECH'])\n",
			"len(comm_nonNa) == len(comm_nonNa.BFS_NUMMER.unique())"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 11,
			"id": "piano-bullet",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/plain": [
			"True"
			]
			},
			"execution_count": 11,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"communes2 = communes_merged.merge(comm_nonNa, on = 'BFS_NUMMER')\n",
			"len(communes2) == len(communes_merged)"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 12,
			"id": "referenced-render",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/html": [
			"<div>\n",
			"<style scoped>\n",
			" .dataframe tbody tr th:only-of-type {\n",
			" vertical-align: middle;\n",
			" }\n",
			"\n",
			" .dataframe tbody tr th {\n",
			" vertical-align: top;\n",
			" }\n",
			"\n",
			" .dataframe thead th {\n",
			" text-align: right;\n",
			" }\n",
			"</style>\n",
			"<table border=\"1\" class=\"dataframe\">\n",
			" <thead>\n",
			" <tr style=\"text-align: right;\">\n",
			" <th></th>\n",
			" <th>BFS_NUMMER</th>\n",
			" <th>geometry</th>\n",
			" <th>GEM_FLAECH</th>\n",
			" <th>KANTONSNUM</th>\n",
			" <th>ICC</th>\n",
			" <th>EINWOHNERZ</th>\n",
			" </tr>\n",
			" </thead>\n",
			" <tbody>\n",
			" <tr>\n",
			" <th>0</th>\n",
			" <td>1</td>\n",
			" <td>POLYGON Z ((2680492.059 1235035.207 652.815, 2...</td>\n",
			" <td>791.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>1981.0</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>1</th>\n",
			" <td>2</td>\n",
			" <td>POLYGON Z ((2674713.988 1236941.733 511.224, 2...</td>\n",
			" <td>1059.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>11708.0</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>2</th>\n",
			" <td>3</td>\n",
			" <td>POLYGON Z ((2679007.686 1241960.090 628.654, 2...</td>\n",
			" <td>743.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>5326.0</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>3</th>\n",
			" <td>4</td>\n",
			" <td>POLYGON Z ((2686028.446 1230192.476 545.756, 2...</td>\n",
			" <td>1360.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>3477.0</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>4</th>\n",
			" <td>5</td>\n",
			" <td>POLYGON Z ((2678522.755 1238539.671 743.712, 2...</td>\n",
			" <td>653.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>3660.0</td>\n",
			" </tr>\n",
			" </tbody>\n",
			"</table>\n",
			"</div>"
			],
			"text/plain": [
			" BFS_NUMMER geometry GEM_FLAECH \\\n",
			"0 1 POLYGON Z ((2680492.059 1235035.207 652.815, 2... 791.0 \n",
			"1 2 POLYGON Z ((2674713.988 1236941.733 511.224, 2... 1059.0 \n",
			"2 3 POLYGON Z ((2679007.686 1241960.090 628.654, 2... 743.0 \n",
			"3 4 POLYGON Z ((2686028.446 1230192.476 545.756, 2... 1360.0 \n",
			"4 5 POLYGON Z ((2678522.755 1238539.671 743.712, 2... 653.0 \n",
			"\n",
			" KANTONSNUM ICC EINWOHNERZ \n",
			"0 1.0 CH 1981.0 \n",
			"1 1.0 CH 11708.0 \n",
			"2 1.0 CH 5326.0 \n",
			"3 1.0 CH 3477.0 \n",
			"4 1.0 CH 3660.0 "
			]
			},
			"execution_count": 12,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"communes2.head()"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 13,
			"id": "ethical-rental",
			"metadata": {},
			"outputs": [
			{
			"name": "stdout",
			"output_type": "stream",
			"text": [
			"Executed in 4.61s\n"
			]
			}
			],
			"source": [
			"tt = time.time()\n",
			"productive_communes = gpd.overlay(communes2, upper_alps, how = 'difference')\n",
			"print('Executed in %.2fs' %(time.time()-tt))"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 14,
			"id": "elementary-translation",
			"metadata": {},
			"outputs": [
			{
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			" alert(\n",
			" 'Your browser does not have WebSocket support. ' +\n",
			" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
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			" 'This browser does not support binary websocket messages. ' +\n",
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			" 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",
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			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'mpl-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" var button = (fig.buttons[name] = document.createElement('button'));\n",
			" button.classList = 'mpl-widget';\n",
			" button.setAttribute('role', 'button');\n",
			" button.setAttribute('aria-disabled', 'false');\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			"\n",
			" var icon_img = document.createElement('img');\n",
			" icon_img.src = '_images/' + image + '.png';\n",
			" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
			" icon_img.alt = tooltip;\n",
			" button.appendChild(icon_img);\n",
			"\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" var fmt_picker = document.createElement('select');\n",
			" fmt_picker.classList = 'mpl-widget';\n",
			" toolbar.appendChild(fmt_picker);\n",
			" this.format_dropdown = fmt_picker;\n",
			"\n",
			" for (var ind in mpl.extensions) {\n",
			" var fmt = mpl.extensions[ind];\n",
			" var option = document.createElement('option');\n",
			" option.selected = fmt === mpl.default_extension;\n",
			" option.innerHTML = fmt;\n",
			" fmt_picker.appendChild(option);\n",
			" }\n",
			"\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
			" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
			" // which will in turn request a refresh of the image.\n",
			" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_message = function (type, properties) {\n",
			" properties['type'] = type;\n",
			" properties['figure_id'] = this.id;\n",
			" this.ws.send(JSON.stringify(properties));\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_draw_message = function () {\n",
			" if (!this.waiting) {\n",
			" this.waiting = true;\n",
			" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" var format_dropdown = fig.format_dropdown;\n",
			" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
			" fig.ondownload(fig, format);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
			" var size = msg['size'];\n",
			" if (size[0] !== fig.canvas.width \|\| size[1] !== fig.canvas.height) {\n",
			" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
			" fig.send_message('refresh', {});\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
			" var x0 = msg['x0'] / fig.ratio;\n",
			" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
			" var x1 = msg['x1'] / fig.ratio;\n",
			" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
			" x0 = Math.floor(x0) + 0.5;\n",
			" y0 = Math.floor(y0) + 0.5;\n",
			" x1 = Math.floor(x1) + 0.5;\n",
			" y1 = Math.floor(y1) + 0.5;\n",
			" var min_x = Math.min(x0, x1);\n",
			" var min_y = Math.min(y0, y1);\n",
			" var width = Math.abs(x1 - x0);\n",
			" var height = Math.abs(y1 - y0);\n",
			"\n",
			" fig.rubberband_context.clearRect(\n",
			" 0,\n",
			" 0,\n",
			" fig.canvas.width / fig.ratio,\n",
			" fig.canvas.height / fig.ratio\n",
			" );\n",
			"\n",
			" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
			" // Updates the figure title.\n",
			" fig.header.textContent = msg['label'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
			" var cursor = msg['cursor'];\n",
			" switch (cursor) {\n",
			" case 0:\n",
			" cursor = 'pointer';\n",
			" break;\n",
			" case 1:\n",
			" cursor = 'default';\n",
			" break;\n",
			" case 2:\n",
			" cursor = 'crosshair';\n",
			" break;\n",
			" case 3:\n",
			" cursor = 'move';\n",
			" break;\n",
			" }\n",
			" fig.rubberband_canvas.style.cursor = cursor;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_message = function (fig, msg) {\n",
			" fig.message.textContent = msg['message'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
			" // Request the server to send over a new figure.\n",
			" fig.send_draw_message();\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
			" fig.image_mode = msg['mode'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
			" for (var key in msg) {\n",
			" if (!(key in fig.buttons)) {\n",
			" continue;\n",
			" }\n",
			" fig.buttons[key].disabled = !msg[key];\n",
			" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
			" if (msg['mode'] === 'PAN') {\n",
			" fig.buttons['Pan'].classList.add('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" } else if (msg['mode'] === 'ZOOM') {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.add('active');\n",
			" } else {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Called whenever the canvas gets updated.\n",
			" this.send_message('ack', {});\n",
			"};\n",
			"\n",
			"// A function to construct a web socket function for onmessage handling.\n",
			"// Called in the figure constructor.\n",
			"mpl.figure.prototype._make_on_message_function = function (fig) {\n",
			" return function socket_on_message(evt) {\n",
			" if (evt.data instanceof Blob) {\n",
			" /* FIXME: We get \"Resource interpreted as Image but\n",
			" * transferred with MIME type text/plain:\" errors on\n",
			" * Chrome. But how to set the MIME type? It doesn't seem\n",
			" * to be part of the websocket stream */\n",
			" evt.data.type = 'image/png';\n",
			"\n",
			" /* Free the memory for the previous frames */\n",
			" if (fig.imageObj.src) {\n",
			" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
			" fig.imageObj.src\n",
			" );\n",
			" }\n",
			"\n",
			" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
			" evt.data\n",
			" );\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" } else if (\n",
			" typeof evt.data === 'string' &&\n",
			" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
			" ) {\n",
			" fig.imageObj.src = evt.data;\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" }\n",
			"\n",
			" var msg = JSON.parse(evt.data);\n",
			" var msg_type = msg['type'];\n",
			"\n",
			" // Call the \"handle_{type}\" callback, which takes\n",
			" // the figure and JSON message as its only arguments.\n",
			" try {\n",
			" var callback = fig['handle_' + msg_type];\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"No handler for the '\" + msg_type + \"' message type: \",\n",
			" msg\n",
			" );\n",
			" return;\n",
			" }\n",
			"\n",
			" if (callback) {\n",
			" try {\n",
			" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
			" callback(fig, msg);\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
			" e,\n",
			" e.stack,\n",
			" msg\n",
			" );\n",
			" }\n",
			" }\n",
			" };\n",
			"};\n",
			"\n",
			"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
			"mpl.findpos = function (e) {\n",
			" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
			" var targ;\n",
			" if (!e) {\n",
			" e = window.event;\n",
			" }\n",
			" if (e.target) {\n",
			" targ = e.target;\n",
			" } else if (e.srcElement) {\n",
			" targ = e.srcElement;\n",
			" }\n",
			" if (targ.nodeType === 3) {\n",
			" // defeat Safari bug\n",
			" targ = targ.parentNode;\n",
			" }\n",
			"\n",
			" // pageX,Y are the mouse positions relative to the document\n",
			" var boundingRect = targ.getBoundingClientRect();\n",
			" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
			" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
			"\n",
			" return { x: x, y: y };\n",
			"};\n",
			"\n",
			"/*\n",
			" * return a copy of an object with only non-object keys\n",
			" * we need this to avoid circular references\n",
			" * http://stackoverflow.com/a/24161582/3208463\n",
			" */\n",
			"function simpleKeys(original) {\n",
			" return Object.keys(original).reduce(function (obj, key) {\n",
			" if (typeof original[key] !== 'object') {\n",
			" obj[key] = original[key];\n",
			" }\n",
			" return obj;\n",
			" }, {});\n",
			"}\n",
			"\n",
			"mpl.figure.prototype.mouse_event = function (event, name) {\n",
			" var canvas_pos = mpl.findpos(event);\n",
			"\n",
			" if (name === 'button_press') {\n",
			" this.canvas.focus();\n",
			" this.canvas_div.focus();\n",
			" }\n",
			"\n",
			" var x = canvas_pos.x * this.ratio;\n",
			" var y = canvas_pos.y * this.ratio;\n",
			"\n",
			" this.send_message(name, {\n",
			" x: x,\n",
			" y: y,\n",
			" button: event.button,\n",
			" step: event.step,\n",
			" guiEvent: simpleKeys(event),\n",
			" });\n",
			"\n",
			" /* This prevents the web browser from automatically changing to\n",
			" * the text insertion cursor when the button is pressed. We want\n",
			" * to control all of the cursor setting manually through the\n",
			" * 'cursor' event from matplotlib */\n",
			" event.preventDefault();\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
			" // Handle any extra behaviour associated with a key event\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.key_event = function (event, name) {\n",
			" // Prevent repeat events\n",
			" if (name === 'key_press') {\n",
			" if (event.which === this._key) {\n",
			" return;\n",
			" } else {\n",
			" this._key = event.which;\n",
			" }\n",
			" }\n",
			" if (name === 'key_release') {\n",
			" this._key = null;\n",
			" }\n",
			"\n",
			" var value = '';\n",
			" if (event.ctrlKey && event.which !== 17) {\n",
			" value += 'ctrl+';\n",
			" }\n",
			" if (event.altKey && event.which !== 18) {\n",
			" value += 'alt+';\n",
			" }\n",
			" if (event.shiftKey && event.which !== 16) {\n",
			" value += 'shift+';\n",
			" }\n",
			"\n",
			" value += 'k';\n",
			" value += event.which.toString();\n",
			"\n",
			" this._key_event_extra(event, name);\n",
			"\n",
			" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
			" if (name === 'download') {\n",
			" this.handle_save(this, null);\n",
			" } else {\n",
			" this.send_message('toolbar_button', { name: name });\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
			" this.message.textContent = tooltip;\n",
			"};\n",
			"\n",
			"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
			"// prettier-ignore\n",
			"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)\|\|(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)\|\|(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)\|\|n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size\|\|(r.delete(i),o.delete(i))),n.size\|\|r.delete(i),o.size\|\|cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
			"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
			"\n",
			"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
			"\n",
			"mpl.default_extension = \"png\";/* global mpl */\n",
			"\n",
			"var comm_websocket_adapter = function (comm) {\n",
			" // Create a \"websocket\"-like object which calls the given IPython comm\n",
			" // object with the appropriate methods. Currently this is a non binary\n",
			" // socket, so there is still some room for performance tuning.\n",
			" var ws = {};\n",
			"\n",
			" ws.close = function () {\n",
			" comm.close();\n",
			" };\n",
			" ws.send = function (m) {\n",
			" //console.log('sending', m);\n",
			" comm.send(m);\n",
			" };\n",
			" // Register the callback with on_msg.\n",
			" comm.on_msg(function (msg) {\n",
			" //console.log('receiving', msg['content']['data'], msg);\n",
			" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
			" ws.onmessage(msg['content']['data']);\n",
			" });\n",
			" return ws;\n",
			"};\n",
			"\n",
			"mpl.mpl_figure_comm = function (comm, msg) {\n",
			" // This is the function which gets called when the mpl process\n",
			" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
			"\n",
			" var id = msg.content.data.id;\n",
			" // Get hold of the div created by the display call when the Comm\n",
			" // socket was opened in Python.\n",
			" var element = document.getElementById(id);\n",
			" var ws_proxy = comm_websocket_adapter(comm);\n",
			"\n",
			" function ondownload(figure, _format) {\n",
			" window.open(figure.canvas.toDataURL());\n",
			" }\n",
			"\n",
			" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
			"\n",
			" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
			" // web socket which is closed, not our websocket->open comm proxy.\n",
			" ws_proxy.onopen();\n",
			"\n",
			" fig.parent_element = element;\n",
			" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
			" if (!fig.cell_info) {\n",
			" console.error('Failed to find cell for figure', id, fig);\n",
			" return;\n",
			" }\n",
			" fig.cell_info[0].output_area.element.on(\n",
			" 'cleared',\n",
			" { fig: fig },\n",
			" fig._remove_fig_handler\n",
			" );\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
			" var width = fig.canvas.width / fig.ratio;\n",
			" fig.cell_info[0].output_area.element.off(\n",
			" 'cleared',\n",
			" fig._remove_fig_handler\n",
			" );\n",
			" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
			"\n",
			" // Update the output cell to use the data from the current canvas.\n",
			" fig.push_to_output();\n",
			" var dataURL = fig.canvas.toDataURL();\n",
			" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
			" // the notebook keyboard shortcuts fail.\n",
			" IPython.keyboard_manager.enable();\n",
			" fig.parent_element.innerHTML =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			" fig.close_ws(fig, msg);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
			" fig.send_message('closing', msg);\n",
			" // fig.ws.close()\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
			" // Turn the data on the canvas into data in the output cell.\n",
			" var width = this.canvas.width / this.ratio;\n",
			" var dataURL = this.canvas.toDataURL();\n",
			" this.cell_info[1]['text/html'] =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Tell IPython that the notebook contents must change.\n",
			" IPython.notebook.set_dirty(true);\n",
			" this.send_message('ack', {});\n",
			" var fig = this;\n",
			" // Wait a second, then push the new image to the DOM so\n",
			" // that it is saved nicely (might be nice to debounce this).\n",
			" setTimeout(function () {\n",
			" fig.push_to_output();\n",
			" }, 1000);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'btn-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" var button;\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" button = fig.buttons[name] = document.createElement('button');\n",
			" button.classList = 'btn btn-default';\n",
			" button.href = '#';\n",
			" button.title = name;\n",
			" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" // Add the status bar.\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message pull-right';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"\n",
			" // Add the close button to the window.\n",
			" var buttongrp = document.createElement('div');\n",
			" buttongrp.classList = 'btn-group inline pull-right';\n",
			" button = document.createElement('button');\n",
			" button.classList = 'btn btn-mini btn-primary';\n",
			" button.href = '#';\n",
			" button.title = 'Stop Interaction';\n",
			" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
			" button.addEventListener('click', function (_evt) {\n",
			" fig.handle_close(fig, {});\n",
			" });\n",
			" button.addEventListener(\n",
			" 'mouseover',\n",
			" on_mouseover_closure('Stop Interaction')\n",
			" );\n",
			" buttongrp.appendChild(button);\n",
			" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
			" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
			" var fig = event.data.fig;\n",
			" if (event.target !== this) {\n",
			" // Ignore bubbled events from children.\n",
			" return;\n",
			" }\n",
			" fig.close_ws(fig, {});\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (el) {\n",
			" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
			" // this is important to make the div 'focusable\n",
			" el.setAttribute('tabindex', 0);\n",
			" // reach out to IPython and tell the keyboard manager to turn it's self\n",
			" // off when our div gets focus\n",
			"\n",
			" // location in version 3\n",
			" if (IPython.notebook.keyboard_manager) {\n",
			" IPython.notebook.keyboard_manager.register_events(el);\n",
			" } else {\n",
			" // location in version 2\n",
			" IPython.keyboard_manager.register_events(el);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
			" var manager = IPython.notebook.keyboard_manager;\n",
			" if (!manager) {\n",
			" manager = IPython.keyboard_manager;\n",
			" }\n",
			"\n",
			" // Check for shift+enter\n",
			" if (event.shiftKey && event.which === 13) {\n",
			" this.canvas_div.blur();\n",
			" // select the cell after this one\n",
			" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
			" IPython.notebook.select(index + 1);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" fig.ondownload(fig, null);\n",
			"};\n",
			"\n",
			"mpl.find_output_cell = function (html_output) {\n",
			" // Return the cell and output element which can be found uniquely in the notebook.\n",
			" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
			" // IPython event is triggered only after the cells have been serialised, which for\n",
			" // our purposes (turning an active figure into a static one), is too late.\n",
			" var cells = IPython.notebook.get_cells();\n",
			" var ncells = cells.length;\n",
			" for (var i = 0; i < ncells; i++) {\n",
			" var cell = cells[i];\n",
			" if (cell.cell_type === 'code') {\n",
			" for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
			" var data = cell.output_area.outputs[j];\n",
			" if (data.data) {\n",
			" // IPython >= 3 moved mimebundle to data attribute of output\n",
			" data = data.data;\n",
			" }\n",
			" if (data['text/html'] === html_output) {\n",
			" return [cell, data, j];\n",
			" }\n",
			" }\n",
			" }\n",
			" }\n",
			"};\n",
			"\n",
			"// Register the function which deals with the matplotlib target/channel.\n",
			"// The kernel may be null if the page has been refreshed.\n",
			"if (IPython.notebook.kernel !== null) {\n",
			" IPython.notebook.kernel.comm_manager.register_target(\n",
			" 'matplotlib',\n",
			" mpl.mpl_figure_comm\n",
			" );\n",
			"}\n"
			],
			"text/plain": [
			"<IPython.core.display.Javascript object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			},
			{
			"data": {
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\" width=\"640\">"
			],
			"text/plain": [
			"<IPython.core.display.HTML object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			},
			{
			"data": {
			"text/plain": [
			"<AxesSubplot:>"
			]
			},
			"execution_count": 14,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"productive_communes.plot()"
			]
			},
			{
			"cell_type": "markdown",
			"id": "disciplinary-netherlands",
			"metadata": {},
			"source": [
			"# Geospatial overlay"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 15,
			"id": "recent-parameter",
			"metadata": {
			"scrolled": true
			},
			"outputs": [],
			"source": [
			"productive_communes['prod_area_km2'] = productive_communes.geometry.area / 1e6"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 16,
			"id": "cultural-bobby",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/html": [
			"<div>\n",
			"<style scoped>\n",
			" .dataframe tbody tr th:only-of-type {\n",
			" vertical-align: middle;\n",
			" }\n",
			"\n",
			" .dataframe tbody tr th {\n",
			" vertical-align: top;\n",
			" }\n",
			"\n",
			" .dataframe thead th {\n",
			" text-align: right;\n",
			" }\n",
			"</style>\n",
			"<table border=\"1\" class=\"dataframe\">\n",
			" <thead>\n",
			" <tr style=\"text-align: right;\">\n",
			" <th></th>\n",
			" <th>BFS_NUMMER</th>\n",
			" <th>geometry</th>\n",
			" <th>GEM_FLAECH</th>\n",
			" <th>KANTONSNUM</th>\n",
			" <th>ICC</th>\n",
			" <th>EINWOHNERZ</th>\n",
			" <th>prod_area_km2</th>\n",
			" </tr>\n",
			" </thead>\n",
			" <tbody>\n",
			" <tr>\n",
			" <th>0</th>\n",
			" <td>1</td>\n",
			" <td>POLYGON Z ((2680492.059 1235035.207 652.815, 2...</td>\n",
			" <td>791.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>1981.0</td>\n",
			" <td>7.912338</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>1</th>\n",
			" <td>2</td>\n",
			" <td>POLYGON Z ((2674713.988 1236941.733 511.224, 2...</td>\n",
			" <td>1059.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>11708.0</td>\n",
			" <td>10.593038</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>2</th>\n",
			" <td>3</td>\n",
			" <td>POLYGON Z ((2679007.686 1241960.090 628.654, 2...</td>\n",
			" <td>743.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>5326.0</td>\n",
			" <td>7.430708</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>3</th>\n",
			" <td>4</td>\n",
			" <td>POLYGON Z ((2686028.446 1230192.476 545.756, 2...</td>\n",
			" <td>1360.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>3477.0</td>\n",
			" <td>13.602527</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>4</th>\n",
			" <td>5</td>\n",
			" <td>POLYGON Z ((2678522.755 1238539.671 743.712, 2...</td>\n",
			" <td>653.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>3660.0</td>\n",
			" <td>6.529258</td>\n",
			" </tr>\n",
			" </tbody>\n",
			"</table>\n",
			"</div>"
			],
			"text/plain": [
			" BFS_NUMMER geometry GEM_FLAECH \\\n",
			"0 1 POLYGON Z ((2680492.059 1235035.207 652.815, 2... 791.0 \n",
			"1 2 POLYGON Z ((2674713.988 1236941.733 511.224, 2... 1059.0 \n",
			"2 3 POLYGON Z ((2679007.686 1241960.090 628.654, 2... 743.0 \n",
			"3 4 POLYGON Z ((2686028.446 1230192.476 545.756, 2... 1360.0 \n",
			"4 5 POLYGON Z ((2678522.755 1238539.671 743.712, 2... 653.0 \n",
			"\n",
			" KANTONSNUM ICC EINWOHNERZ prod_area_km2 \n",
			"0 1.0 CH 1981.0 7.912338 \n",
			"1 1.0 CH 11708.0 10.593038 \n",
			"2 1.0 CH 5326.0 7.430708 \n",
			"3 1.0 CH 3477.0 13.602527 \n",
			"4 1.0 CH 3660.0 6.529258 "
			]
			},
			"execution_count": 16,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"productive_communes.head()"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 18,
			"id": "prescription-failing",
			"metadata": {},
			"outputs": [
			{
			"name": "stdout",
			"output_type": "stream",
			"text": [
			"Executed in 34.29s\n"
			]
			}
			],
			"source": [
			"tt = time.time()\n",
			"urban_types_communes = gpd.overlay(urban_typ[['CATEGORY', 'geometry']], productive_communes, how = 'intersection')\n",
			"print('Executed in %.2fs' %(time.time()-tt))"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 23,
			"id": "dependent-friend",
			"metadata": {},
			"outputs": [],
			"source": [
			"urban_types_communes['typology_area_km2'] = urban_types_communes.geometry.area / 1e6"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 24,
			"id": "unlike-ridge",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/html": [
			"<div>\n",
			"<style scoped>\n",
			" .dataframe tbody tr th:only-of-type {\n",
			" vertical-align: middle;\n",
			" }\n",
			"\n",
			" .dataframe tbody tr th {\n",
			" vertical-align: top;\n",
			" }\n",
			"\n",
			" .dataframe thead th {\n",
			" text-align: right;\n",
			" }\n",
			"</style>\n",
			"<table border=\"1\" class=\"dataframe\">\n",
			" <thead>\n",
			" <tr style=\"text-align: right;\">\n",
			" <th></th>\n",
			" <th>CATEGORY</th>\n",
			" <th>BFS_NUMMER</th>\n",
			" <th>GEM_FLAECH</th>\n",
			" <th>KANTONSNUM</th>\n",
			" <th>ICC</th>\n",
			" <th>EINWOHNERZ</th>\n",
			" <th>prod_area_km2</th>\n",
			" <th>geometry</th>\n",
			" <th>typology_area</th>\n",
			" <th>typology_area_km2</th>\n",
			" </tr>\n",
			" </thead>\n",
			" <tbody>\n",
			" <tr>\n",
			" <th>0</th>\n",
			" <td>Urban fabric</td>\n",
			" <td>6621</td>\n",
			" <td>1830.0</td>\n",
			" <td>25.0</td>\n",
			" <td>CH</td>\n",
			" <td>198072.0</td>\n",
			" <td>18.296174</td>\n",
			" <td>POLYGON Z ((2501686.260 1117902.316 0.000, 250...</td>\n",
			" <td>1.537184e+06</td>\n",
			" <td>1.537184</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>1</th>\n",
			" <td>Urban fabric</td>\n",
			" <td>6621</td>\n",
			" <td>1830.0</td>\n",
			" <td>25.0</td>\n",
			" <td>CH</td>\n",
			" <td>198072.0</td>\n",
			" <td>18.296174</td>\n",
			" <td>POLYGON Z ((2500722.567 1119101.705 0.000, 250...</td>\n",
			" <td>1.273106e+06</td>\n",
			" <td>1.273106</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>2</th>\n",
			" <td>Urban fabric</td>\n",
			" <td>6621</td>\n",
			" <td>1830.0</td>\n",
			" <td>25.0</td>\n",
			" <td>CH</td>\n",
			" <td>198072.0</td>\n",
			" <td>18.296174</td>\n",
			" <td>POLYGON Z ((2500105.504 1119780.865 0.000, 250...</td>\n",
			" <td>4.539902e+06</td>\n",
			" <td>4.539902</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>3</th>\n",
			" <td>Industrial or commercial areas</td>\n",
			" <td>6621</td>\n",
			" <td>1830.0</td>\n",
			" <td>25.0</td>\n",
			" <td>CH</td>\n",
			" <td>198072.0</td>\n",
			" <td>18.296174</td>\n",
			" <td>POLYGON Z ((2497578.598 1117060.656 207.324, 2...</td>\n",
			" <td>3.848082e+03</td>\n",
			" <td>0.003848</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>4</th>\n",
			" <td>Industrial or commercial areas</td>\n",
			" <td>6621</td>\n",
			" <td>1830.0</td>\n",
			" <td>25.0</td>\n",
			" <td>CH</td>\n",
			" <td>198072.0</td>\n",
			" <td>18.296174</td>\n",
			" <td>POLYGON Z ((2498749.670 1116754.152 191.721, 2...</td>\n",
			" <td>6.176244e+05</td>\n",
			" <td>0.617624</td>\n",
			" </tr>\n",
			" </tbody>\n",
			"</table>\n",
			"</div>"
			],
			"text/plain": [
			" CATEGORY BFS_NUMMER GEM_FLAECH KANTONSNUM ICC \\\n",
			"0 Urban fabric 6621 1830.0 25.0 CH \n",
			"1 Urban fabric 6621 1830.0 25.0 CH \n",
			"2 Urban fabric 6621 1830.0 25.0 CH \n",
			"3 Industrial or commercial areas 6621 1830.0 25.0 CH \n",
			"4 Industrial or commercial areas 6621 1830.0 25.0 CH \n",
			"\n",
			" EINWOHNERZ prod_area_km2 \\\n",
			"0 198072.0 18.296174 \n",
			"1 198072.0 18.296174 \n",
			"2 198072.0 18.296174 \n",
			"3 198072.0 18.296174 \n",
			"4 198072.0 18.296174 \n",
			"\n",
			" geometry typology_area \\\n",
			"0 POLYGON Z ((2501686.260 1117902.316 0.000, 250... 1.537184e+06 \n",
			"1 POLYGON Z ((2500722.567 1119101.705 0.000, 250... 1.273106e+06 \n",
			"2 POLYGON Z ((2500105.504 1119780.865 0.000, 250... 4.539902e+06 \n",
			"3 POLYGON Z ((2497578.598 1117060.656 207.324, 2... 3.848082e+03 \n",
			"4 POLYGON Z ((2498749.670 1116754.152 191.721, 2... 6.176244e+05 \n",
			"\n",
			" typology_area_km2 \n",
			"0 1.537184 \n",
			"1 1.273106 \n",
			"2 4.539902 \n",
			"3 0.003848 \n",
			"4 0.617624 "
			]
			},
			"execution_count": 24,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"urban_types_communes.head()"
			]
			},
			{
			"cell_type": "markdown",
			"id": "manual-monster",
			"metadata": {},
			"source": [
			"### Aggregate results"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 28,
			"id": "frank-adams",
			"metadata": {},
			"outputs": [],
			"source": [
			"typology_areas = ( urban_types_communes.groupby(['BFS_NUMMER', 'CATEGORY'])['typology_area_km2'].sum().reset_index()\n",
			" .pivot(index = 'BFS_NUMMER', columns = 'CATEGORY', values = 'typology_area_km2') ).fillna(0)"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 31,
			"id": "scheduled-trace",
			"metadata": {},
			"outputs": [],
			"source": [
			"plot_data_1 = productive_communes.merge(typology_areas, left_on = 'BFS_NUMMER', right_index = True, how = 'left')"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 40,
			"id": "frozen-welsh",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/html": [
			"<div>\n",
			"<style scoped>\n",
			" .dataframe tbody tr th:only-of-type {\n",
			" vertical-align: middle;\n",
			" }\n",
			"\n",
			" .dataframe tbody tr th {\n",
			" vertical-align: top;\n",
			" }\n",
			"\n",
			" .dataframe thead th {\n",
			" text-align: right;\n",
			" }\n",
			"</style>\n",
			"<table border=\"1\" class=\"dataframe\">\n",
			" <thead>\n",
			" <tr style=\"text-align: right;\">\n",
			" <th></th>\n",
			" <th>BFS_NUMMER</th>\n",
			" <th>geometry</th>\n",
			" <th>GEM_FLAECH</th>\n",
			" <th>KANTONSNUM</th>\n",
			" <th>ICC</th>\n",
			" <th>EINWOHNERZ</th>\n",
			" <th>prod_area_km2</th>\n",
			" <th>Agricultural areas</th>\n",
			" <th>Industrial or commercial areas</th>\n",
			" <th>Urban fabric</th>\n",
			" </tr>\n",
			" </thead>\n",
			" <tbody>\n",
			" <tr>\n",
			" <th>0</th>\n",
			" <td>1</td>\n",
			" <td>POLYGON Z ((2680492.059 1235035.207 652.815, 2...</td>\n",
			" <td>791.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>1981.0</td>\n",
			" <td>7.912338</td>\n",
			" <td>4.385033</td>\n",
			" <td>0.00000</td>\n",
			" <td>0.623102</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>1</th>\n",
			" <td>2</td>\n",
			" <td>POLYGON Z ((2674713.988 1236941.733 511.224, 2...</td>\n",
			" <td>1059.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>11708.0</td>\n",
			" <td>10.593038</td>\n",
			" <td>4.719907</td>\n",
			" <td>0.53283</td>\n",
			" <td>2.467746</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>2</th>\n",
			" <td>3</td>\n",
			" <td>POLYGON Z ((2679007.686 1241960.090 628.654, 2...</td>\n",
			" <td>743.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>5326.0</td>\n",
			" <td>7.430708</td>\n",
			" <td>4.282204</td>\n",
			" <td>0.00000</td>\n",
			" <td>1.045380</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>3</th>\n",
			" <td>4</td>\n",
			" <td>POLYGON Z ((2686028.446 1230192.476 545.756, 2...</td>\n",
			" <td>1360.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>3477.0</td>\n",
			" <td>13.602527</td>\n",
			" <td>8.244404</td>\n",
			" <td>0.00000</td>\n",
			" <td>1.323414</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>4</th>\n",
			" <td>5</td>\n",
			" <td>POLYGON Z ((2678522.755 1238539.671 743.712, 2...</td>\n",
			" <td>653.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>3660.0</td>\n",
			" <td>6.529258</td>\n",
			" <td>3.366986</td>\n",
			" <td>0.00000</td>\n",
			" <td>1.065304</td>\n",
			" </tr>\n",
			" </tbody>\n",
			"</table>\n",
			"</div>"
			],
			"text/plain": [
			" BFS_NUMMER geometry GEM_FLAECH \\\n",
			"0 1 POLYGON Z ((2680492.059 1235035.207 652.815, 2... 791.0 \n",
			"1 2 POLYGON Z ((2674713.988 1236941.733 511.224, 2... 1059.0 \n",
			"2 3 POLYGON Z ((2679007.686 1241960.090 628.654, 2... 743.0 \n",
			"3 4 POLYGON Z ((2686028.446 1230192.476 545.756, 2... 1360.0 \n",
			"4 5 POLYGON Z ((2678522.755 1238539.671 743.712, 2... 653.0 \n",
			"\n",
			" KANTONSNUM ICC EINWOHNERZ prod_area_km2 Agricultural areas \\\n",
			"0 1.0 CH 1981.0 7.912338 4.385033 \n",
			"1 1.0 CH 11708.0 10.593038 4.719907 \n",
			"2 1.0 CH 5326.0 7.430708 4.282204 \n",
			"3 1.0 CH 3477.0 13.602527 8.244404 \n",
			"4 1.0 CH 3660.0 6.529258 3.366986 \n",
			"\n",
			" Industrial or commercial areas Urban fabric \n",
			"0 0.00000 0.623102 \n",
			"1 0.53283 2.467746 \n",
			"2 0.00000 1.045380 \n",
			"3 0.00000 1.323414 \n",
			"4 0.00000 1.065304 "
			]
			},
			"execution_count": 40,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"plot_data_1.head()"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 48,
			"id": "former-failure",
			"metadata": {
			"scrolled": false
			},
			"outputs": [
			{
			"data": {
			"application/javascript": [
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			" '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",
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			"\n",
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			" this.header = titletext;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._init_canvas = function () {\n",
			" var fig = this;\n",
			"\n",
			" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
			" canvas_div.setAttribute(\n",
			" 'style',\n",
			" 'border: 1px solid #ddd;' +\n",
			" 'box-sizing: content-box;' +\n",
			" 'clear: both;' +\n",
			" 'min-height: 1px;' +\n",
			" 'min-width: 1px;' +\n",
			" 'outline: 0;' +\n",
			" 'overflow: hidden;' +\n",
			" 'position: relative;' +\n",
			" 'resize: both;'\n",
			" );\n",
			"\n",
			" function on_keyboard_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.key_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" canvas_div.addEventListener(\n",
			" 'keydown',\n",
			" on_keyboard_event_closure('key_press')\n",
			" );\n",
			" canvas_div.addEventListener(\n",
			" 'keyup',\n",
			" on_keyboard_event_closure('key_release')\n",
			" );\n",
			"\n",
			" this._canvas_extra_style(canvas_div);\n",
			" this.root.appendChild(canvas_div);\n",
			"\n",
			" var canvas = (this.canvas = document.createElement('canvas'));\n",
			" canvas.classList.add('mpl-canvas');\n",
			" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
			"\n",
			" this.context = canvas.getContext('2d');\n",
			"\n",
			" var backingStore =\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" this.context.webkitBackingStorePixelRatio \|\|\n",
			" this.context.mozBackingStorePixelRatio \|\|\n",
			" this.context.msBackingStorePixelRatio \|\|\n",
			" this.context.oBackingStorePixelRatio \|\|\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" 1;\n",
			"\n",
			" this.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
			"\n",
			" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
			" 'canvas'\n",
			" ));\n",
			" rubberband_canvas.setAttribute(\n",
			" 'style',\n",
			" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
			" );\n",
			"\n",
			" // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
			" if (this.ResizeObserver === undefined) {\n",
			" if (window.ResizeObserver !== undefined) {\n",
			" this.ResizeObserver = window.ResizeObserver;\n",
			" } else {\n",
			" var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
			" this.ResizeObserver = obs.ResizeObserver;\n",
			" }\n",
			" }\n",
			"\n",
			" this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
			" var nentries = entries.length;\n",
			" for (var i = 0; i < nentries; i++) {\n",
			" var entry = entries[i];\n",
			" var width, height;\n",
			" if (entry.contentBoxSize) {\n",
			" if (entry.contentBoxSize instanceof Array) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" width = entry.contentBoxSize[0].inlineSize;\n",
			" height = entry.contentBoxSize[0].blockSize;\n",
			" } else {\n",
			" // Firefox implements old version of spec.\n",
			" width = entry.contentBoxSize.inlineSize;\n",
			" height = entry.contentBoxSize.blockSize;\n",
			" }\n",
			" } else {\n",
			" // Chrome <84 implements even older version of spec.\n",
			" width = entry.contentRect.width;\n",
			" height = entry.contentRect.height;\n",
			" }\n",
			"\n",
			" // Keep the size of the canvas and rubber band canvas in sync with\n",
			" // the canvas container.\n",
			" if (entry.devicePixelContentBoxSize) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" canvas.setAttribute(\n",
			" 'width',\n",
			" entry.devicePixelContentBoxSize[0].inlineSize\n",
			" );\n",
			" canvas.setAttribute(\n",
			" 'height',\n",
			" entry.devicePixelContentBoxSize[0].blockSize\n",
			" );\n",
			" } else {\n",
			" canvas.setAttribute('width', width * fig.ratio);\n",
			" canvas.setAttribute('height', height * fig.ratio);\n",
			" }\n",
			" canvas.setAttribute(\n",
			" 'style',\n",
			" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
			" );\n",
			"\n",
			" rubberband_canvas.setAttribute('width', width);\n",
			" rubberband_canvas.setAttribute('height', height);\n",
			"\n",
			" // And update the size in Python. We ignore the initial 0/0 size\n",
			" // that occurs as the element is placed into the DOM, which should\n",
			" // otherwise not happen due to the minimum size styling.\n",
			" if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
			" fig.request_resize(width, height);\n",
			" }\n",
			" }\n",
			" });\n",
			" this.resizeObserverInstance.observe(canvas_div);\n",
			"\n",
			" function on_mouse_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.mouse_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousedown',\n",
			" on_mouse_event_closure('button_press')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseup',\n",
			" on_mouse_event_closure('button_release')\n",
			" );\n",
			" // Throttle sequential mouse events to 1 every 20ms.\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousemove',\n",
			" on_mouse_event_closure('motion_notify')\n",
			" );\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseenter',\n",
			" on_mouse_event_closure('figure_enter')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseleave',\n",
			" on_mouse_event_closure('figure_leave')\n",
			" );\n",
			"\n",
			" canvas_div.addEventListener('wheel', function (event) {\n",
			" if (event.deltaY < 0) {\n",
			" event.step = 1;\n",
			" } else {\n",
			" event.step = -1;\n",
			" }\n",
			" on_mouse_event_closure('scroll')(event);\n",
			" });\n",
			"\n",
			" canvas_div.appendChild(canvas);\n",
			" canvas_div.appendChild(rubberband_canvas);\n",
			"\n",
			" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
			" this.rubberband_context.strokeStyle = '#000000';\n",
			"\n",
			" this._resize_canvas = function (width, height, forward) {\n",
			" if (forward) {\n",
			" canvas_div.style.width = width + 'px';\n",
			" canvas_div.style.height = height + 'px';\n",
			" }\n",
			" };\n",
			"\n",
			" // Disable right mouse context menu.\n",
			" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
			" event.preventDefault();\n",
			" return false;\n",
			" });\n",
			"\n",
			" function set_focus() {\n",
			" canvas.focus();\n",
			" canvas_div.focus();\n",
			" }\n",
			"\n",
			" window.setTimeout(set_focus, 100);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'mpl-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" var button = (fig.buttons[name] = document.createElement('button'));\n",
			" button.classList = 'mpl-widget';\n",
			" button.setAttribute('role', 'button');\n",
			" button.setAttribute('aria-disabled', 'false');\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			"\n",
			" var icon_img = document.createElement('img');\n",
			" icon_img.src = '_images/' + image + '.png';\n",
			" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
			" icon_img.alt = tooltip;\n",
			" button.appendChild(icon_img);\n",
			"\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" var fmt_picker = document.createElement('select');\n",
			" fmt_picker.classList = 'mpl-widget';\n",
			" toolbar.appendChild(fmt_picker);\n",
			" this.format_dropdown = fmt_picker;\n",
			"\n",
			" for (var ind in mpl.extensions) {\n",
			" var fmt = mpl.extensions[ind];\n",
			" var option = document.createElement('option');\n",
			" option.selected = fmt === mpl.default_extension;\n",
			" option.innerHTML = fmt;\n",
			" fmt_picker.appendChild(option);\n",
			" }\n",
			"\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
			" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
			" // which will in turn request a refresh of the image.\n",
			" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_message = function (type, properties) {\n",
			" properties['type'] = type;\n",
			" properties['figure_id'] = this.id;\n",
			" this.ws.send(JSON.stringify(properties));\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_draw_message = function () {\n",
			" if (!this.waiting) {\n",
			" this.waiting = true;\n",
			" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" var format_dropdown = fig.format_dropdown;\n",
			" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
			" fig.ondownload(fig, format);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
			" var size = msg['size'];\n",
			" if (size[0] !== fig.canvas.width \|\| size[1] !== fig.canvas.height) {\n",
			" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
			" fig.send_message('refresh', {});\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
			" var x0 = msg['x0'] / fig.ratio;\n",
			" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
			" var x1 = msg['x1'] / fig.ratio;\n",
			" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
			" x0 = Math.floor(x0) + 0.5;\n",
			" y0 = Math.floor(y0) + 0.5;\n",
			" x1 = Math.floor(x1) + 0.5;\n",
			" y1 = Math.floor(y1) + 0.5;\n",
			" var min_x = Math.min(x0, x1);\n",
			" var min_y = Math.min(y0, y1);\n",
			" var width = Math.abs(x1 - x0);\n",
			" var height = Math.abs(y1 - y0);\n",
			"\n",
			" fig.rubberband_context.clearRect(\n",
			" 0,\n",
			" 0,\n",
			" fig.canvas.width / fig.ratio,\n",
			" fig.canvas.height / fig.ratio\n",
			" );\n",
			"\n",
			" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
			" // Updates the figure title.\n",
			" fig.header.textContent = msg['label'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
			" var cursor = msg['cursor'];\n",
			" switch (cursor) {\n",
			" case 0:\n",
			" cursor = 'pointer';\n",
			" break;\n",
			" case 1:\n",
			" cursor = 'default';\n",
			" break;\n",
			" case 2:\n",
			" cursor = 'crosshair';\n",
			" break;\n",
			" case 3:\n",
			" cursor = 'move';\n",
			" break;\n",
			" }\n",
			" fig.rubberband_canvas.style.cursor = cursor;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_message = function (fig, msg) {\n",
			" fig.message.textContent = msg['message'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
			" // Request the server to send over a new figure.\n",
			" fig.send_draw_message();\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
			" fig.image_mode = msg['mode'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
			" for (var key in msg) {\n",
			" if (!(key in fig.buttons)) {\n",
			" continue;\n",
			" }\n",
			" fig.buttons[key].disabled = !msg[key];\n",
			" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
			" if (msg['mode'] === 'PAN') {\n",
			" fig.buttons['Pan'].classList.add('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" } else if (msg['mode'] === 'ZOOM') {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.add('active');\n",
			" } else {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Called whenever the canvas gets updated.\n",
			" this.send_message('ack', {});\n",
			"};\n",
			"\n",
			"// A function to construct a web socket function for onmessage handling.\n",
			"// Called in the figure constructor.\n",
			"mpl.figure.prototype._make_on_message_function = function (fig) {\n",
			" return function socket_on_message(evt) {\n",
			" if (evt.data instanceof Blob) {\n",
			" /* FIXME: We get \"Resource interpreted as Image but\n",
			" * transferred with MIME type text/plain:\" errors on\n",
			" * Chrome. But how to set the MIME type? It doesn't seem\n",
			" * to be part of the websocket stream */\n",
			" evt.data.type = 'image/png';\n",
			"\n",
			" /* Free the memory for the previous frames */\n",
			" if (fig.imageObj.src) {\n",
			" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
			" fig.imageObj.src\n",
			" );\n",
			" }\n",
			"\n",
			" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
			" evt.data\n",
			" );\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" } else if (\n",
			" typeof evt.data === 'string' &&\n",
			" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
			" ) {\n",
			" fig.imageObj.src = evt.data;\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" }\n",
			"\n",
			" var msg = JSON.parse(evt.data);\n",
			" var msg_type = msg['type'];\n",
			"\n",
			" // Call the \"handle_{type}\" callback, which takes\n",
			" // the figure and JSON message as its only arguments.\n",
			" try {\n",
			" var callback = fig['handle_' + msg_type];\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"No handler for the '\" + msg_type + \"' message type: \",\n",
			" msg\n",
			" );\n",
			" return;\n",
			" }\n",
			"\n",
			" if (callback) {\n",
			" try {\n",
			" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
			" callback(fig, msg);\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
			" e,\n",
			" e.stack,\n",
			" msg\n",
			" );\n",
			" }\n",
			" }\n",
			" };\n",
			"};\n",
			"\n",
			"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
			"mpl.findpos = function (e) {\n",
			" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
			" var targ;\n",
			" if (!e) {\n",
			" e = window.event;\n",
			" }\n",
			" if (e.target) {\n",
			" targ = e.target;\n",
			" } else if (e.srcElement) {\n",
			" targ = e.srcElement;\n",
			" }\n",
			" if (targ.nodeType === 3) {\n",
			" // defeat Safari bug\n",
			" targ = targ.parentNode;\n",
			" }\n",
			"\n",
			" // pageX,Y are the mouse positions relative to the document\n",
			" var boundingRect = targ.getBoundingClientRect();\n",
			" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
			" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
			"\n",
			" return { x: x, y: y };\n",
			"};\n",
			"\n",
			"/*\n",
			" * return a copy of an object with only non-object keys\n",
			" * we need this to avoid circular references\n",
			" * http://stackoverflow.com/a/24161582/3208463\n",
			" */\n",
			"function simpleKeys(original) {\n",
			" return Object.keys(original).reduce(function (obj, key) {\n",
			" if (typeof original[key] !== 'object') {\n",
			" obj[key] = original[key];\n",
			" }\n",
			" return obj;\n",
			" }, {});\n",
			"}\n",
			"\n",
			"mpl.figure.prototype.mouse_event = function (event, name) {\n",
			" var canvas_pos = mpl.findpos(event);\n",
			"\n",
			" if (name === 'button_press') {\n",
			" this.canvas.focus();\n",
			" this.canvas_div.focus();\n",
			" }\n",
			"\n",
			" var x = canvas_pos.x * this.ratio;\n",
			" var y = canvas_pos.y * this.ratio;\n",
			"\n",
			" this.send_message(name, {\n",
			" x: x,\n",
			" y: y,\n",
			" button: event.button,\n",
			" step: event.step,\n",
			" guiEvent: simpleKeys(event),\n",
			" });\n",
			"\n",
			" /* This prevents the web browser from automatically changing to\n",
			" * the text insertion cursor when the button is pressed. We want\n",
			" * to control all of the cursor setting manually through the\n",
			" * 'cursor' event from matplotlib */\n",
			" event.preventDefault();\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
			" // Handle any extra behaviour associated with a key event\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.key_event = function (event, name) {\n",
			" // Prevent repeat events\n",
			" if (name === 'key_press') {\n",
			" if (event.which === this._key) {\n",
			" return;\n",
			" } else {\n",
			" this._key = event.which;\n",
			" }\n",
			" }\n",
			" if (name === 'key_release') {\n",
			" this._key = null;\n",
			" }\n",
			"\n",
			" var value = '';\n",
			" if (event.ctrlKey && event.which !== 17) {\n",
			" value += 'ctrl+';\n",
			" }\n",
			" if (event.altKey && event.which !== 18) {\n",
			" value += 'alt+';\n",
			" }\n",
			" if (event.shiftKey && event.which !== 16) {\n",
			" value += 'shift+';\n",
			" }\n",
			"\n",
			" value += 'k';\n",
			" value += event.which.toString();\n",
			"\n",
			" this._key_event_extra(event, name);\n",
			"\n",
			" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
			" if (name === 'download') {\n",
			" this.handle_save(this, null);\n",
			" } else {\n",
			" this.send_message('toolbar_button', { name: name });\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
			" this.message.textContent = tooltip;\n",
			"};\n",
			"\n",
			"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
			"// prettier-ignore\n",
			"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)\|\|(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)\|\|(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)\|\|n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size\|\|(r.delete(i),o.delete(i))),n.size\|\|r.delete(i),o.size\|\|cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
			"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
			"\n",
			"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
			"\n",
			"mpl.default_extension = \"png\";/* global mpl */\n",
			"\n",
			"var comm_websocket_adapter = function (comm) {\n",
			" // Create a \"websocket\"-like object which calls the given IPython comm\n",
			" // object with the appropriate methods. Currently this is a non binary\n",
			" // socket, so there is still some room for performance tuning.\n",
			" var ws = {};\n",
			"\n",
			" ws.close = function () {\n",
			" comm.close();\n",
			" };\n",
			" ws.send = function (m) {\n",
			" //console.log('sending', m);\n",
			" comm.send(m);\n",
			" };\n",
			" // Register the callback with on_msg.\n",
			" comm.on_msg(function (msg) {\n",
			" //console.log('receiving', msg['content']['data'], msg);\n",
			" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
			" ws.onmessage(msg['content']['data']);\n",
			" });\n",
			" return ws;\n",
			"};\n",
			"\n",
			"mpl.mpl_figure_comm = function (comm, msg) {\n",
			" // This is the function which gets called when the mpl process\n",
			" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
			"\n",
			" var id = msg.content.data.id;\n",
			" // Get hold of the div created by the display call when the Comm\n",
			" // socket was opened in Python.\n",
			" var element = document.getElementById(id);\n",
			" var ws_proxy = comm_websocket_adapter(comm);\n",
			"\n",
			" function ondownload(figure, _format) {\n",
			" window.open(figure.canvas.toDataURL());\n",
			" }\n",
			"\n",
			" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
			"\n",
			" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
			" // web socket which is closed, not our websocket->open comm proxy.\n",
			" ws_proxy.onopen();\n",
			"\n",
			" fig.parent_element = element;\n",
			" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
			" if (!fig.cell_info) {\n",
			" console.error('Failed to find cell for figure', id, fig);\n",
			" return;\n",
			" }\n",
			" fig.cell_info[0].output_area.element.on(\n",
			" 'cleared',\n",
			" { fig: fig },\n",
			" fig._remove_fig_handler\n",
			" );\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
			" var width = fig.canvas.width / fig.ratio;\n",
			" fig.cell_info[0].output_area.element.off(\n",
			" 'cleared',\n",
			" fig._remove_fig_handler\n",
			" );\n",
			" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
			"\n",
			" // Update the output cell to use the data from the current canvas.\n",
			" fig.push_to_output();\n",
			" var dataURL = fig.canvas.toDataURL();\n",
			" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
			" // the notebook keyboard shortcuts fail.\n",
			" IPython.keyboard_manager.enable();\n",
			" fig.parent_element.innerHTML =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			" fig.close_ws(fig, msg);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
			" fig.send_message('closing', msg);\n",
			" // fig.ws.close()\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
			" // Turn the data on the canvas into data in the output cell.\n",
			" var width = this.canvas.width / this.ratio;\n",
			" var dataURL = this.canvas.toDataURL();\n",
			" this.cell_info[1]['text/html'] =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Tell IPython that the notebook contents must change.\n",
			" IPython.notebook.set_dirty(true);\n",
			" this.send_message('ack', {});\n",
			" var fig = this;\n",
			" // Wait a second, then push the new image to the DOM so\n",
			" // that it is saved nicely (might be nice to debounce this).\n",
			" setTimeout(function () {\n",
			" fig.push_to_output();\n",
			" }, 1000);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'btn-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" var button;\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" button = fig.buttons[name] = document.createElement('button');\n",
			" button.classList = 'btn btn-default';\n",
			" button.href = '#';\n",
			" button.title = name;\n",
			" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" // Add the status bar.\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message pull-right';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"\n",
			" // Add the close button to the window.\n",
			" var buttongrp = document.createElement('div');\n",
			" buttongrp.classList = 'btn-group inline pull-right';\n",
			" button = document.createElement('button');\n",
			" button.classList = 'btn btn-mini btn-primary';\n",
			" button.href = '#';\n",
			" button.title = 'Stop Interaction';\n",
			" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
			" button.addEventListener('click', function (_evt) {\n",
			" fig.handle_close(fig, {});\n",
			" });\n",
			" button.addEventListener(\n",
			" 'mouseover',\n",
			" on_mouseover_closure('Stop Interaction')\n",
			" );\n",
			" buttongrp.appendChild(button);\n",
			" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
			" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
			" var fig = event.data.fig;\n",
			" if (event.target !== this) {\n",
			" // Ignore bubbled events from children.\n",
			" return;\n",
			" }\n",
			" fig.close_ws(fig, {});\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (el) {\n",
			" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
			" // this is important to make the div 'focusable\n",
			" el.setAttribute('tabindex', 0);\n",
			" // reach out to IPython and tell the keyboard manager to turn it's self\n",
			" // off when our div gets focus\n",
			"\n",
			" // location in version 3\n",
			" if (IPython.notebook.keyboard_manager) {\n",
			" IPython.notebook.keyboard_manager.register_events(el);\n",
			" } else {\n",
			" // location in version 2\n",
			" IPython.keyboard_manager.register_events(el);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
			" var manager = IPython.notebook.keyboard_manager;\n",
			" if (!manager) {\n",
			" manager = IPython.keyboard_manager;\n",
			" }\n",
			"\n",
			" // Check for shift+enter\n",
			" if (event.shiftKey && event.which === 13) {\n",
			" this.canvas_div.blur();\n",
			" // select the cell after this one\n",
			" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
			" IPython.notebook.select(index + 1);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" fig.ondownload(fig, null);\n",
			"};\n",
			"\n",
			"mpl.find_output_cell = function (html_output) {\n",
			" // Return the cell and output element which can be found uniquely in the notebook.\n",
			" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
			" // IPython event is triggered only after the cells have been serialised, which for\n",
			" // our purposes (turning an active figure into a static one), is too late.\n",
			" var cells = IPython.notebook.get_cells();\n",
			" var ncells = cells.length;\n",
			" for (var i = 0; i < ncells; i++) {\n",
			" var cell = cells[i];\n",
			" if (cell.cell_type === 'code') {\n",
			" for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
			" var data = cell.output_area.outputs[j];\n",
			" if (data.data) {\n",
			" // IPython >= 3 moved mimebundle to data attribute of output\n",
			" data = data.data;\n",
			" }\n",
			" if (data['text/html'] === html_output) {\n",
			" return [cell, data, j];\n",
			" }\n",
			" }\n",
			" }\n",
			" }\n",
			"};\n",
			"\n",
			"// Register the function which deals with the matplotlib target/channel.\n",
			"// The kernel may be null if the page has been refreshed.\n",
			"if (IPython.notebook.kernel !== null) {\n",
			" IPython.notebook.kernel.comm_manager.register_target(\n",
			" 'matplotlib',\n",
			" mpl.mpl_figure_comm\n",
			" );\n",
			"}\n"
			],
			"text/plain": [
			"<IPython.core.display.Javascript object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			},
			{
			"data": {
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\" width=\"600\">"
			],
			"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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
			" }\n",
			" fig.send_message('refresh', {});\n",
			" };\n",
			"\n",
			" this.imageObj.onload = function () {\n",
			" if (fig.image_mode === 'full') {\n",
			" // Full images could contain transparency (where diff images\n",
			" // almost always do), so we need to clear the canvas so that\n",
			" // there is no ghosting.\n",
			" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
			" }\n",
			" fig.context.drawImage(fig.imageObj, 0, 0);\n",
			" };\n",
			"\n",
			" this.imageObj.onunload = function () {\n",
			" fig.ws.close();\n",
			" };\n",
			"\n",
			" this.ws.onmessage = this._make_on_message_function(this);\n",
			"\n",
			" this.ondownload = ondownload;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_header = function () {\n",
			" var titlebar = document.createElement('div');\n",
			" titlebar.classList =\n",
			" 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
			" var titletext = document.createElement('div');\n",
			" titletext.classList = 'ui-dialog-title';\n",
			" titletext.setAttribute(\n",
			" 'style',\n",
			" 'width: 100%; text-align: center; padding: 3px;'\n",
			" );\n",
			" titlebar.appendChild(titletext);\n",
			" this.root.appendChild(titlebar);\n",
			" this.header = titletext;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._init_canvas = function () {\n",
			" var fig = this;\n",
			"\n",
			" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
			" canvas_div.setAttribute(\n",
			" 'style',\n",
			" 'border: 1px solid #ddd;' +\n",
			" 'box-sizing: content-box;' +\n",
			" 'clear: both;' +\n",
			" 'min-height: 1px;' +\n",
			" 'min-width: 1px;' +\n",
			" 'outline: 0;' +\n",
			" 'overflow: hidden;' +\n",
			" 'position: relative;' +\n",
			" 'resize: both;'\n",
			" );\n",
			"\n",
			" function on_keyboard_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.key_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" canvas_div.addEventListener(\n",
			" 'keydown',\n",
			" on_keyboard_event_closure('key_press')\n",
			" );\n",
			" canvas_div.addEventListener(\n",
			" 'keyup',\n",
			" on_keyboard_event_closure('key_release')\n",
			" );\n",
			"\n",
			" this._canvas_extra_style(canvas_div);\n",
			" this.root.appendChild(canvas_div);\n",
			"\n",
			" var canvas = (this.canvas = document.createElement('canvas'));\n",
			" canvas.classList.add('mpl-canvas');\n",
			" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
			"\n",
			" this.context = canvas.getContext('2d');\n",
			"\n",
			" var backingStore =\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" this.context.webkitBackingStorePixelRatio \|\|\n",
			" this.context.mozBackingStorePixelRatio \|\|\n",
			" this.context.msBackingStorePixelRatio \|\|\n",
			" this.context.oBackingStorePixelRatio \|\|\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" 1;\n",
			"\n",
			" this.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
			"\n",
			" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
			" 'canvas'\n",
			" ));\n",
			" rubberband_canvas.setAttribute(\n",
			" 'style',\n",
			" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
			" );\n",
			"\n",
			" // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
			" if (this.ResizeObserver === undefined) {\n",
			" if (window.ResizeObserver !== undefined) {\n",
			" this.ResizeObserver = window.ResizeObserver;\n",
			" } else {\n",
			" var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
			" this.ResizeObserver = obs.ResizeObserver;\n",
			" }\n",
			" }\n",
			"\n",
			" this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
			" var nentries = entries.length;\n",
			" for (var i = 0; i < nentries; i++) {\n",
			" var entry = entries[i];\n",
			" var width, height;\n",
			" if (entry.contentBoxSize) {\n",
			" if (entry.contentBoxSize instanceof Array) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" width = entry.contentBoxSize[0].inlineSize;\n",
			" height = entry.contentBoxSize[0].blockSize;\n",
			" } else {\n",
			" // Firefox implements old version of spec.\n",
			" width = entry.contentBoxSize.inlineSize;\n",
			" height = entry.contentBoxSize.blockSize;\n",
			" }\n",
			" } else {\n",
			" // Chrome <84 implements even older version of spec.\n",
			" width = entry.contentRect.width;\n",
			" height = entry.contentRect.height;\n",
			" }\n",
			"\n",
			" // Keep the size of the canvas and rubber band canvas in sync with\n",
			" // the canvas container.\n",
			" if (entry.devicePixelContentBoxSize) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" canvas.setAttribute(\n",
			" 'width',\n",
			" entry.devicePixelContentBoxSize[0].inlineSize\n",
			" );\n",
			" canvas.setAttribute(\n",
			" 'height',\n",
			" entry.devicePixelContentBoxSize[0].blockSize\n",
			" );\n",
			" } else {\n",
			" canvas.setAttribute('width', width * fig.ratio);\n",
			" canvas.setAttribute('height', height * fig.ratio);\n",
			" }\n",
			" canvas.setAttribute(\n",
			" 'style',\n",
			" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
			" );\n",
			"\n",
			" rubberband_canvas.setAttribute('width', width);\n",
			" rubberband_canvas.setAttribute('height', height);\n",
			"\n",
			" // And update the size in Python. We ignore the initial 0/0 size\n",
			" // that occurs as the element is placed into the DOM, which should\n",
			" // otherwise not happen due to the minimum size styling.\n",
			" if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
			" fig.request_resize(width, height);\n",
			" }\n",
			" }\n",
			" });\n",
			" this.resizeObserverInstance.observe(canvas_div);\n",
			"\n",
			" function on_mouse_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.mouse_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousedown',\n",
			" on_mouse_event_closure('button_press')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseup',\n",
			" on_mouse_event_closure('button_release')\n",
			" );\n",
			" // Throttle sequential mouse events to 1 every 20ms.\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousemove',\n",
			" on_mouse_event_closure('motion_notify')\n",
			" );\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseenter',\n",
			" on_mouse_event_closure('figure_enter')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseleave',\n",
			" on_mouse_event_closure('figure_leave')\n",
			" );\n",
			"\n",
			" canvas_div.addEventListener('wheel', function (event) {\n",
			" if (event.deltaY < 0) {\n",
			" event.step = 1;\n",
			" } else {\n",
			" event.step = -1;\n",
			" }\n",
			" on_mouse_event_closure('scroll')(event);\n",
			" });\n",
			"\n",
			" canvas_div.appendChild(canvas);\n",
			" canvas_div.appendChild(rubberband_canvas);\n",
			"\n",
			" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
			" this.rubberband_context.strokeStyle = '#000000';\n",
			"\n",
			" this._resize_canvas = function (width, height, forward) {\n",
			" if (forward) {\n",
			" canvas_div.style.width = width + 'px';\n",
			" canvas_div.style.height = height + 'px';\n",
			" }\n",
			" };\n",
			"\n",
			" // Disable right mouse context menu.\n",
			" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
			" event.preventDefault();\n",
			" return false;\n",
			" });\n",
			"\n",
			" function set_focus() {\n",
			" canvas.focus();\n",
			" canvas_div.focus();\n",
			" }\n",
			"\n",
			" window.setTimeout(set_focus, 100);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'mpl-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" var button = (fig.buttons[name] = document.createElement('button'));\n",
			" button.classList = 'mpl-widget';\n",
			" button.setAttribute('role', 'button');\n",
			" button.setAttribute('aria-disabled', 'false');\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			"\n",
			" var icon_img = document.createElement('img');\n",
			" icon_img.src = '_images/' + image + '.png';\n",
			" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
			" icon_img.alt = tooltip;\n",
			" button.appendChild(icon_img);\n",
			"\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" var fmt_picker = document.createElement('select');\n",
			" fmt_picker.classList = 'mpl-widget';\n",
			" toolbar.appendChild(fmt_picker);\n",
			" this.format_dropdown = fmt_picker;\n",
			"\n",
			" for (var ind in mpl.extensions) {\n",
			" var fmt = mpl.extensions[ind];\n",
			" var option = document.createElement('option');\n",
			" option.selected = fmt === mpl.default_extension;\n",
			" option.innerHTML = fmt;\n",
			" fmt_picker.appendChild(option);\n",
			" }\n",
			"\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
			" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
			" // which will in turn request a refresh of the image.\n",
			" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_message = function (type, properties) {\n",
			" properties['type'] = type;\n",
			" properties['figure_id'] = this.id;\n",
			" this.ws.send(JSON.stringify(properties));\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_draw_message = function () {\n",
			" if (!this.waiting) {\n",
			" this.waiting = true;\n",
			" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" var format_dropdown = fig.format_dropdown;\n",
			" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
			" fig.ondownload(fig, format);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
			" var size = msg['size'];\n",
			" if (size[0] !== fig.canvas.width \|\| size[1] !== fig.canvas.height) {\n",
			" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
			" fig.send_message('refresh', {});\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
			" var x0 = msg['x0'] / fig.ratio;\n",
			" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
			" var x1 = msg['x1'] / fig.ratio;\n",
			" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
			" x0 = Math.floor(x0) + 0.5;\n",
			" y0 = Math.floor(y0) + 0.5;\n",
			" x1 = Math.floor(x1) + 0.5;\n",
			" y1 = Math.floor(y1) + 0.5;\n",
			" var min_x = Math.min(x0, x1);\n",
			" var min_y = Math.min(y0, y1);\n",
			" var width = Math.abs(x1 - x0);\n",
			" var height = Math.abs(y1 - y0);\n",
			"\n",
			" fig.rubberband_context.clearRect(\n",
			" 0,\n",
			" 0,\n",
			" fig.canvas.width / fig.ratio,\n",
			" fig.canvas.height / fig.ratio\n",
			" );\n",
			"\n",
			" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
			" // Updates the figure title.\n",
			" fig.header.textContent = msg['label'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
			" var cursor = msg['cursor'];\n",
			" switch (cursor) {\n",
			" case 0:\n",
			" cursor = 'pointer';\n",
			" break;\n",
			" case 1:\n",
			" cursor = 'default';\n",
			" break;\n",
			" case 2:\n",
			" cursor = 'crosshair';\n",
			" break;\n",
			" case 3:\n",
			" cursor = 'move';\n",
			" break;\n",
			" }\n",
			" fig.rubberband_canvas.style.cursor = cursor;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_message = function (fig, msg) {\n",
			" fig.message.textContent = msg['message'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
			" // Request the server to send over a new figure.\n",
			" fig.send_draw_message();\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
			" fig.image_mode = msg['mode'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
			" for (var key in msg) {\n",
			" if (!(key in fig.buttons)) {\n",
			" continue;\n",
			" }\n",
			" fig.buttons[key].disabled = !msg[key];\n",
			" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
			" if (msg['mode'] === 'PAN') {\n",
			" fig.buttons['Pan'].classList.add('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" } else if (msg['mode'] === 'ZOOM') {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.add('active');\n",
			" } else {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Called whenever the canvas gets updated.\n",
			" this.send_message('ack', {});\n",
			"};\n",
			"\n",
			"// A function to construct a web socket function for onmessage handling.\n",
			"// Called in the figure constructor.\n",
			"mpl.figure.prototype._make_on_message_function = function (fig) {\n",
			" return function socket_on_message(evt) {\n",
			" if (evt.data instanceof Blob) {\n",
			" /* FIXME: We get \"Resource interpreted as Image but\n",
			" * transferred with MIME type text/plain:\" errors on\n",
			" * Chrome. But how to set the MIME type? It doesn't seem\n",
			" * to be part of the websocket stream */\n",
			" evt.data.type = 'image/png';\n",
			"\n",
			" /* Free the memory for the previous frames */\n",
			" if (fig.imageObj.src) {\n",
			" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
			" fig.imageObj.src\n",
			" );\n",
			" }\n",
			"\n",
			" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
			" evt.data\n",
			" );\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" } else if (\n",
			" typeof evt.data === 'string' &&\n",
			" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
			" ) {\n",
			" fig.imageObj.src = evt.data;\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" }\n",
			"\n",
			" var msg = JSON.parse(evt.data);\n",
			" var msg_type = msg['type'];\n",
			"\n",
			" // Call the \"handle_{type}\" callback, which takes\n",
			" // the figure and JSON message as its only arguments.\n",
			" try {\n",
			" var callback = fig['handle_' + msg_type];\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"No handler for the '\" + msg_type + \"' message type: \",\n",
			" msg\n",
			" );\n",
			" return;\n",
			" }\n",
			"\n",
			" if (callback) {\n",
			" try {\n",
			" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
			" callback(fig, msg);\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
			" e,\n",
			" e.stack,\n",
			" msg\n",
			" );\n",
			" }\n",
			" }\n",
			" };\n",
			"};\n",
			"\n",
			"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
			"mpl.findpos = function (e) {\n",
			" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
			" var targ;\n",
			" if (!e) {\n",
			" e = window.event;\n",
			" }\n",
			" if (e.target) {\n",
			" targ = e.target;\n",
			" } else if (e.srcElement) {\n",
			" targ = e.srcElement;\n",
			" }\n",
			" if (targ.nodeType === 3) {\n",
			" // defeat Safari bug\n",
			" targ = targ.parentNode;\n",
			" }\n",
			"\n",
			" // pageX,Y are the mouse positions relative to the document\n",
			" var boundingRect = targ.getBoundingClientRect();\n",
			" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
			" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
			"\n",
			" return { x: x, y: y };\n",
			"};\n",
			"\n",
			"/*\n",
			" * return a copy of an object with only non-object keys\n",
			" * we need this to avoid circular references\n",
			" * http://stackoverflow.com/a/24161582/3208463\n",
			" */\n",
			"function simpleKeys(original) {\n",
			" return Object.keys(original).reduce(function (obj, key) {\n",
			" if (typeof original[key] !== 'object') {\n",
			" obj[key] = original[key];\n",
			" }\n",
			" return obj;\n",
			" }, {});\n",
			"}\n",
			"\n",
			"mpl.figure.prototype.mouse_event = function (event, name) {\n",
			" var canvas_pos = mpl.findpos(event);\n",
			"\n",
			" if (name === 'button_press') {\n",
			" this.canvas.focus();\n",
			" this.canvas_div.focus();\n",
			" }\n",
			"\n",
			" var x = canvas_pos.x * this.ratio;\n",
			" var y = canvas_pos.y * this.ratio;\n",
			"\n",
			" this.send_message(name, {\n",
			" x: x,\n",
			" y: y,\n",
			" button: event.button,\n",
			" step: event.step,\n",
			" guiEvent: simpleKeys(event),\n",
			" });\n",
			"\n",
			" /* This prevents the web browser from automatically changing to\n",
			" * the text insertion cursor when the button is pressed. We want\n",
			" * to control all of the cursor setting manually through the\n",
			" * 'cursor' event from matplotlib */\n",
			" event.preventDefault();\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
			" // Handle any extra behaviour associated with a key event\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.key_event = function (event, name) {\n",
			" // Prevent repeat events\n",
			" if (name === 'key_press') {\n",
			" if (event.which === this._key) {\n",
			" return;\n",
			" } else {\n",
			" this._key = event.which;\n",
			" }\n",
			" }\n",
			" if (name === 'key_release') {\n",
			" this._key = null;\n",
			" }\n",
			"\n",
			" var value = '';\n",
			" if (event.ctrlKey && event.which !== 17) {\n",
			" value += 'ctrl+';\n",
			" }\n",
			" if (event.altKey && event.which !== 18) {\n",
			" value += 'alt+';\n",
			" }\n",
			" if (event.shiftKey && event.which !== 16) {\n",
			" value += 'shift+';\n",
			" }\n",
			"\n",
			" value += 'k';\n",
			" value += event.which.toString();\n",
			"\n",
			" this._key_event_extra(event, name);\n",
			"\n",
			" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
			" if (name === 'download') {\n",
			" this.handle_save(this, null);\n",
			" } else {\n",
			" this.send_message('toolbar_button', { name: name });\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
			" this.message.textContent = tooltip;\n",
			"};\n",
			"\n",
			"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
			"// prettier-ignore\n",
			"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)\|\|(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)\|\|(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)\|\|n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size\|\|(r.delete(i),o.delete(i))),n.size\|\|r.delete(i),o.size\|\|cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
			"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
			"\n",
			"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
			"\n",
			"mpl.default_extension = \"png\";/* global mpl */\n",
			"\n",
			"var comm_websocket_adapter = function (comm) {\n",
			" // Create a \"websocket\"-like object which calls the given IPython comm\n",
			" // object with the appropriate methods. Currently this is a non binary\n",
			" // socket, so there is still some room for performance tuning.\n",
			" var ws = {};\n",
			"\n",
			" ws.close = function () {\n",
			" comm.close();\n",
			" };\n",
			" ws.send = function (m) {\n",
			" //console.log('sending', m);\n",
			" comm.send(m);\n",
			" };\n",
			" // Register the callback with on_msg.\n",
			" comm.on_msg(function (msg) {\n",
			" //console.log('receiving', msg['content']['data'], msg);\n",
			" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
			" ws.onmessage(msg['content']['data']);\n",
			" });\n",
			" return ws;\n",
			"};\n",
			"\n",
			"mpl.mpl_figure_comm = function (comm, msg) {\n",
			" // This is the function which gets called when the mpl process\n",
			" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
			"\n",
			" var id = msg.content.data.id;\n",
			" // Get hold of the div created by the display call when the Comm\n",
			" // socket was opened in Python.\n",
			" var element = document.getElementById(id);\n",
			" var ws_proxy = comm_websocket_adapter(comm);\n",
			"\n",
			" function ondownload(figure, _format) {\n",
			" window.open(figure.canvas.toDataURL());\n",
			" }\n",
			"\n",
			" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
			"\n",
			" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
			" // web socket which is closed, not our websocket->open comm proxy.\n",
			" ws_proxy.onopen();\n",
			"\n",
			" fig.parent_element = element;\n",
			" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
			" if (!fig.cell_info) {\n",
			" console.error('Failed to find cell for figure', id, fig);\n",
			" return;\n",
			" }\n",
			" fig.cell_info[0].output_area.element.on(\n",
			" 'cleared',\n",
			" { fig: fig },\n",
			" fig._remove_fig_handler\n",
			" );\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
			" var width = fig.canvas.width / fig.ratio;\n",
			" fig.cell_info[0].output_area.element.off(\n",
			" 'cleared',\n",
			" fig._remove_fig_handler\n",
			" );\n",
			" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
			"\n",
			" // Update the output cell to use the data from the current canvas.\n",
			" fig.push_to_output();\n",
			" var dataURL = fig.canvas.toDataURL();\n",
			" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
			" // the notebook keyboard shortcuts fail.\n",
			" IPython.keyboard_manager.enable();\n",
			" fig.parent_element.innerHTML =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			" fig.close_ws(fig, msg);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
			" fig.send_message('closing', msg);\n",
			" // fig.ws.close()\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
			" // Turn the data on the canvas into data in the output cell.\n",
			" var width = this.canvas.width / this.ratio;\n",
			" var dataURL = this.canvas.toDataURL();\n",
			" this.cell_info[1]['text/html'] =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Tell IPython that the notebook contents must change.\n",
			" IPython.notebook.set_dirty(true);\n",
			" this.send_message('ack', {});\n",
			" var fig = this;\n",
			" // Wait a second, then push the new image to the DOM so\n",
			" // that it is saved nicely (might be nice to debounce this).\n",
			" setTimeout(function () {\n",
			" fig.push_to_output();\n",
			" }, 1000);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'btn-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" var button;\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" button = fig.buttons[name] = document.createElement('button');\n",
			" button.classList = 'btn btn-default';\n",
			" button.href = '#';\n",
			" button.title = name;\n",
			" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" // Add the status bar.\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message pull-right';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"\n",
			" // Add the close button to the window.\n",
			" var buttongrp = document.createElement('div');\n",
			" buttongrp.classList = 'btn-group inline pull-right';\n",
			" button = document.createElement('button');\n",
			" button.classList = 'btn btn-mini btn-primary';\n",
			" button.href = '#';\n",
			" button.title = 'Stop Interaction';\n",
			" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
			" button.addEventListener('click', function (_evt) {\n",
			" fig.handle_close(fig, {});\n",
			" });\n",
			" button.addEventListener(\n",
			" 'mouseover',\n",
			" on_mouseover_closure('Stop Interaction')\n",
			" );\n",
			" buttongrp.appendChild(button);\n",
			" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
			" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
			" var fig = event.data.fig;\n",
			" if (event.target !== this) {\n",
			" // Ignore bubbled events from children.\n",
			" return;\n",
			" }\n",
			" fig.close_ws(fig, {});\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (el) {\n",
			" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
			" // this is important to make the div 'focusable\n",
			" el.setAttribute('tabindex', 0);\n",
			" // reach out to IPython and tell the keyboard manager to turn it's self\n",
			" // off when our div gets focus\n",
			"\n",
			" // location in version 3\n",
			" if (IPython.notebook.keyboard_manager) {\n",
			" IPython.notebook.keyboard_manager.register_events(el);\n",
			" } else {\n",
			" // location in version 2\n",
			" IPython.keyboard_manager.register_events(el);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
			" var manager = IPython.notebook.keyboard_manager;\n",
			" if (!manager) {\n",
			" manager = IPython.keyboard_manager;\n",
			" }\n",
			"\n",
			" // Check for shift+enter\n",
			" if (event.shiftKey && event.which === 13) {\n",
			" this.canvas_div.blur();\n",
			" // select the cell after this one\n",
			" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
			" IPython.notebook.select(index + 1);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" fig.ondownload(fig, null);\n",
			"};\n",
			"\n",
			"mpl.find_output_cell = function (html_output) {\n",
			" // Return the cell and output element which can be found uniquely in the notebook.\n",
			" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
			" // IPython event is triggered only after the cells have been serialised, which for\n",
			" // our purposes (turning an active figure into a static one), is too late.\n",
			" var cells = IPython.notebook.get_cells();\n",
			" var ncells = cells.length;\n",
			" for (var i = 0; i < ncells; i++) {\n",
			" var cell = cells[i];\n",
			" if (cell.cell_type === 'code') {\n",
			" for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
			" var data = cell.output_area.outputs[j];\n",
			" if (data.data) {\n",
			" // IPython >= 3 moved mimebundle to data attribute of output\n",
			" data = data.data;\n",
			" }\n",
			" if (data['text/html'] === html_output) {\n",
			" return [cell, data, j];\n",
			" }\n",
			" }\n",
			" }\n",
			" }\n",
			"};\n",
			"\n",
			"// Register the function which deals with the matplotlib target/channel.\n",
			"// The kernel may be null if the page has been refreshed.\n",
			"if (IPython.notebook.kernel !== null) {\n",
			" IPython.notebook.kernel.comm_manager.register_target(\n",
			" 'matplotlib',\n",
			" mpl.mpl_figure_comm\n",
			" );\n",
			"}\n"
			],
			"text/plain": [
			"<IPython.core.display.Javascript object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			},
			{
			"data": {
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waJnxbQOFgnFdHWwZhIi1J6ZgmnWSmIdLG7kvB49ecz600yrg0WiwbFw86fnjKFYzeY7RKiNg55JziHF3fyM0gNEvR1/BJH4Hopg8T1iQFyZsUctIEX+fF56CRl2o02no+J8k2zQ60QCwlAxf5SZ6gsPdu50n3oSGq5PfqeQQDN8yQxWEuyZECxekySLnw1+h3Hd8EcGSTR/HDJBQUu2mMm9OA4+C8kqPcYk2gwNMwHjsssuOzG+uBboU2gEq7UkzGyC5RtXM2OCxR/Mjz76qGST80fdrl27JCuWny1+3y9EW/AEiwSKIUKGAFhA0NSYts4vcG7q9GSxsKJmDAux0jd/LWpC6oW4gNQzKwQUAgoBhcDxi4BGsJpLQs0mWP5xtTMmWPxBRlLPH4qaMbzOfZLh+YVoC55gaWJgCqPpcp/OtFRyZu1o/ckooGbIcGp6+kJcROqZFQIKAYWAQuD4REAjWI0lwWYTrMC4+hkTLHpT6eXlfsmSLdwjGZ1gogQLQS9EWxAEi0JULaWZ+h+GR6i/oECdLnVmA1HvwzpXfJ9ZO9TaMLxEgbSW9k+PFhcL/2Y6NYXWXEzKFAIKAYWAQkAhcDwiMFuCRc0h9zrNqA2dLmmGuj3WxWM4ndEgyjAYNjxYHb7jEau5HtOCIFharZ2p4FFbQG0JQ3+ME1PLQ30QNRHUY1CToGl4qEtgFWsSKuq1qJUgIVuIWYRzvQjV9RQCCgGFgELg6CCgEay64iCzPVgh8Q0HDIqSGYrZpxpblrHALRPBqMFiaRMWraVDY6Hq+BYEwTo6y1ZdVSGgEFAIKAQUAsc3AsYyDcWBZhOssPhGyZqdiQeLRYtZL43RHc3ouGDRYtMSJ8c3WnM7OkWw5hZPdTWFgEJAIaAQUAgcNwhoBKuqOAAuZtTB6usbR0R804w1WIz8kFCxnIlmzNhl1jW1zgvRFMFaiLOunlkhoBBQCCgEFgQCGsGqKPY3m2BFxTfPmGCx5tXHH38sfUUZImQNP5Y4Yg05rS/mggDc5CFPaIJFMTq1U6x1w3pLyhQCCgGFgEJAITDfCFAQzmbdLG59tItwagSrtMjPbIIVm9AyY4LF52FfVRaNbm1tlWdj9iCLA7Ou2kK0E5pgac1sF+LEqmdWCCgEFAIKgeMbgemavM/1iDWCVXwEBCveDII11+M+Ea53QhMsNgp2d3c/QKR3IkycegaFgEJAIaAQ+GYiQNJDUXh3d7f0CTyaphGsgiJfsz1YSQmtM/ZgHc1n+KZe+4QmWNrCItEyzYL4pk6WGrdCQCGgEFAIfPMROJZ7kyJY87de5oRgsQo6a1+wPxh7dTEGy6ahBzP2PmOvLKZusvlvWFiYNLxl01JTe+ONNySmy4bMrKDOomXnnXfejNE6lot4xoNSByoEFAIKAYXAgkbgWO5N2r1yC833YKUmKg/WbBbqnBCs999/XyqhZ2Zmgr2HDkewmF1AcsUO8CzaScJFgsVGkcw6oG3dulVa17BrPUkVr0mxHI9ll/iZ2LFcxDMZjzpGIaAQUAgoBBQCx3Jv0u6VfQQEK10RrFkt1jkhWKYjYLbe4QjWdCM+//zzhWxpTSEvuugicGGQvGm2YcMGeHh44NVXX53RQx/LRTyjAamDFAIKAYWAQmDBI3As9ybtXnsK/eBsRh2s/r5xZCbOPItwwU/qNAAcFwSLHi22nmGRsquvvlqGyR6BDBmahg3p4WIvwJqamhnN5bFcxDMakDpIIaAQUAgoBBY8Asdyb9LutavAfIK1KEkRrNks1nklWMHBwWhra4Ner5feRtRbaca6GewTeOmllxpfe+WVV3DFFVdgeHh42mfm66bvaZkaSuQ+myWizlUIKAQUAgqBuURgPgjW9gJ/sz1YS5NmXmh0LvE5Ua41rwSrqqoK/f392LZtm/QweuKJJ6QwGY0E68UXXzT+zddefvllXHXVVRgaGpoWf5I0NmieaopgnSjLVT2HQkAhoBD45iMwHwTr64IAswnWiqSZt8r55s/K3D/BvBIs08dheJD6q5KSEnn5SEKEyoM19wtEXVEhoBBQCCgE5haB+SBYW/IDzSZYq5IbVR2sWUz9cUOwmC343HPPobq6Wh6HIneW3n/vvfeMj0edFguHKpH7LGZcnaoQUAgoBBQC84qAIljzCv8xu/mcECyG+crLy2XQGRkZeOSRR7B27Vp4enqKJ+rWW29FQ0MDXnrpJTnmySeflNfj4+Plb5Ze2LhxI37+85+L0J329ddfY/Xq1VL76pxzzsF///tf3H777apMwzFbGupGCgGFgEJAIXA0EJgPgvVFfpDZHqyTkxuUB2sWC2BOCNbnn38uhGqqXXbZZSJUZ5dteqZ4HO3xxx+XjtvUYFlbW0sR0WuuuUZqYZk2vvz3v/8tpKqystJYaJTlHGZqx3IRz3RM6jiFgELg8AjUFjegu7UHqasTwabtR7sh7uFHpI5QCMwdAsdyb9Lu9Wl+iNkEa11ynSJYs5j2OSFYs7j/UT31WC7io/og6uIKgQWGwH+eeB9vPPIOXDydMTQ4gr7Ofvzh4zsRkRyKmtJm7NlcgvOuOnmBoaIe90RB4FjuTdq9PskLhZMZdbAG+sZxSkqtIlizWHSKYM0CPHWqQkAhcHQQoAfrmRtfxI739hpvcPOL1+G0H5yMVx7bhA9f246ND1yEhKxw2DvYHp1BqKsqBI4SAvNBsDblhZlNsE5PqVEEaxZrQBGsWYCnTlUIKATmFgESq3ef+Qjp65IxNDiEd57ehNGhUdg62OLWf1wP7yBPlOXV4RdnPyo3vuCaNbj6trPndhDqagqBo4zAfBCs93MjzCZYZ6RWKYI1i7WgCNYswFOnKgQUArNDoLejD01VrajYW4Xy7Cq89+wnGNOPwcbOBvpRPSbGJ4w3uPjX5+Kq+7+H+opW/Hj9HzA+No7wuAA8+d4NSqM1u2lQZx9jBOaDYL2bGwknF6sZP+lA3xjOSq1UBGvGiB14oCJYswBPnaoQUAgcOQJfv70Tv7ngISFKSSviULKzHPrRMeMFvQI90NHYZfz7rGtOxbV/ugIv3vcfVJc1o3pnKRzDg/DnTb9GVXEjcreWY925WXD3djnyQakzFQLHAIH5IFhv50aZTbDOTq1QBGsW60ERrFmAp05VCCgEjgyBrpZuXBr6EyOhSlwei9a6drTXdxovGJ4UguqCuv1ucNIFy7D5jW1IWZ2IvC8L4R8TiHVXnYZ//+VzIWqpy6JwxzNXwtnV4cgGps5SCBwDBBTBOgYgHwe3UATrOJgENQSFwEJCYLBPhz9c9ji++s/O/R7bwcUeESlhGBsfhx5A36oouE4ALa/vRF9thxybclIC8jYXIXVNIjoaumDrbI/mfmB0hGcAEfEB+N7167FyQ+pCglQ96zcMgfkgWG/lxJjtwTovrUx5sGaxthTBmgV46lSFgELAfAS2v7cHt3/rfuOJ1rbWYDiwpbpNROwupydhj1AsgwV4OCNkBBh2toXT8BhGvyxFZXY1LKwskfrtJcjbZfBynfX9Fbjunu9MO6CmqhYERPiZP1h1hkLgKCAwHwTrjZxYswnWBWmlimDNYv4VwZoFeOpUhYBCwHwEnrnxJfz7kXeMJyavikd9WROi0sOx9+M8JF6yHLucraAbHp324hFbKmHv7YLhk2IwNDYOr8peNO+px3Of3YrAcJ8DzqHH7Jb19+CG565FWEKw+QNWZygE5hiB+SBYr+fEw9EMkftg3xguTCtWBGsWc68I1izAU6cqBBQC5iEwMTGBsj0VeOjKp2FlZQlre2vY2NhI2E+zpPVZ6HV2gEOgK2Bvhe3t7fvdJMrHHRVt3cbXEgO94VbchdVrEnDO1Wtha2djfK9wWyl+fepvEZYUjFO+txrn/eJM8wasjlYIHAUE5oNg/TM70WyCdXF6oSJYs5h/RbBmAZ46VSGgEJg5AmNjY/jLjX/Hm396FyFxgagraUTc4ij0dQ1IeJDlGeyd7RGSEg6djQOa67vg4OmIpgwPjOrHD7iR5QRgbQHEeblj/K09aKxogW+oN54veUxI1sjQCC4K/BEc3RzBchAjg8O4+cWfw9rGCsu+nQU7B7uZD14dqRCYQwTmg2C9kp1sNsG6ND1fEaxZzLsiWLMAT52qEFAIzAyBqvxaPHfry9j+7h45IfmkeORvLjaK1pNXxiP/q8m/w9Ij0dBrIFX+l6Yir6HtgButGAR6cmowPDAMFzdHVOfXYelZmbj3nVvl2JHhUTx05ZMYHhzB1rd3gd4zza57/Cp4BnggIiUUwTEBM3sIdZRCYI4QmA+C9fe9KWYTrB9k5CmCNYs5VwRrFuCpUxUCCoHDI9Db2Ycfp92I9obJEgx2jrZwcHZAYLQfKnNqELMoEmPDetSWNKK/awBewd7osXWWi9u52kO/LgTNXf3732xiAqHvFKCvo09e9wxwx4U3nI3v/OrbBwzq2V//A288+j/xkgVG+2N4cBiLN2TA0cUBP3308sM/hDpCITCHCMwHwXphb5rZBOvyjBxFsGYx74pgzQI8dapCQCFweAQ6m7twz3cfQf6W4v0Oprid4cHawnrxLvkEe8HR1QFWjvZwCfJFQV6jHG9hASStikC/bgg2kV4Yru1Ai7cjQis60ZFfDzt3F3h5OcHaxhIWFhYITQhGULQ/Vl+4HG7ernKN1x78Lz7426dwdHWEhSVQkV2Dv+Q8hIAoP1hZzby6dc4XBejt6EfamkS4eqqCpoeffXXEdAjMB8H62x7+oJj5WqfI/crMvTMmWOHh4aipqTngca+99lo8+eSTC3IhKIK1IKddPbRC4NgiUFfcgAeufBp2rs4YGxpGe00zxvXj+3m1tBGFrc1CQ42h7lVioj+aSxukorulpQWsx/WIzgxHdWUz4jOjUby7BoP9w4jPCkfBpznGh7K1t4GTmyPueuMmxC+NxoW+V8E/whdle6rkGNbRuvy3lyBlVfyMgOhp78Xzt/8T7/7lo32kj0QuCBGpYRJibKtrx+IzMrH6O8uE5ClTCBwKgRORYLW1tYE6S83y8/Nx2mmn4bPPPsOaNWsW5IJQBGtBTrt6aIXAsUOgr6tfPFjj1jYo2FUDa1sruHo4wTfIA40F1ehsnAwdclRp56wweq+SE/2Q93kBvIM84B/qBej1GNcbvsQtbW1QnNsA/Ygebt4uCAr3Qm9Th3it6koaJBwoZOrkRAzrRlG2p1quQy9ZW1MPWmo7cO9bN2Lx6QcvSsprPLXxeRRsLYGblytaatrAgqjuvm6ozKlGcFwQ9COj0jOxaFsZNlyxFhfeeDaC4wLRUNYE/0hfyZJUphAwRWA+CNaze7LM9mBdk7l7xh6sqTO8ceNG/O9//0NZWdmC/dGhCJb63CsEFAJHFQFdvw4/ybgJbfWdiF+ZgKKcBuP9HJzt4eVuA2cPF3S3dKG+qB7rfrgWqaem4YPnPkVbbTsuu+N89LZ1439/3oTW2nZDk+fkEDi7O8PKyQH52yrkek5uDhhoasOYST9DFi519nBCQKQvtr6zV47z8HeHvZsjWmo6kH5yIn7/3i0HPD9Dllve3I7XH35bwpj1JYZwZeyiKBlDSHwg8r4sgquXC8bGxjHQPQDqypi9GJoUIiUoCreW4pyfnYEfP/QDIXtW1lbGjWagZ0CyKPu7ByXcaGOrSNhRXYTH2cXng2A9sycLDs7WM0ZC16/HjzN3o66uDq6uhlA7zc7OTv47lI2MjCAwMBC/+tWvcNttt834nifagYpgnWgzqp5HIXCcItBQ3oTfX/EUmpoHhFhMtaiUYCSkBOFHD35fCEd3Wy+GdSPwC/VGZ0s3/v6b11CVVyseq4rsaiFZDu6uKNwzqfvwdLWRcJ2pJa+MQ3Vhw3735LldnQOIzQjDxievhm+It5xCvdi2d3aDWqu2+g50NnWLJ4rhSb8IX7h4OMPd1xUWFpbI31KEgZ5BY19Enp+yOkGIl2Ypp2Vg1MoGztYTqNhVBjcvFzDc2NXSYzyG3rdTv78a669ch4jk0ON09tSw5hKB+SBYT+9Su5biAAAgAElEQVRZbDbB+mnm/u2siMFdd92Fu++++5BwvPbaa7j00ktRW1srRGuhmiJYC3Xm1XMrBOYBAZKW/K1laGvsxisPvyuhO1O797VfIGtt4gEj+/TVLaJvuuPsB1CZWyPEh9qq4u3lSFqXhtK9NRgfn0Dy0kjkbDJ4qgIi/eAd7ImSHeUYGRrF4jMy5LyKnBqkrk4QIkayw1INS8/MFNLW0dQlxMrdzw3WVlawtLYUrVhFTjWGBobluvSIGcT0QfJ/Xd+QvE+LWxyNkp3l8u/kNckoKu0weq3cPRwRGuiE7E/yxAs3ncUvicb6K9Zh7cUr4OTmNA8zpG55LBCYD4L1xO6lZhOs67K2H5EHa/369bC1tcU770x2bDgWuB5v91AE63ibETUehcACQKBkbzW+/M8u0S5Fp4UiINwHlfn1yFgdj8BI3/0QYDX2p67/G+5+8yb86uS74OHvJh4u6qGaq1rl2KisKLj5esDCYgLDvQNCYJoqWuAT6o3SXRVIXB6H4h1lQroaylvE+1WdN+n5yliXguKdZUKWEpfHorqgDoO9uoPOBDMeScSox/IN9oKtox3sHe1QXVCLvs4BKWbqFhsO3ZAetnbW6O/RwcbWCujoQNLyGPS094ln7GD3oEj/pO8sw4Yr1omGzNLScgGsioXziPNBsB7bvcxsgvWLrG1ma7CYSRgZGYk333wT55xzzsKZ1GmeVBGsBT396uEVAvODADVOdWXNCI01FPnk3yQsWqjOdFRb3touZRZYHsHF0xntdR3oau0WgXlNgaHRc3RGhOih9nycK3+zeTQzDxmyo2aKxInV3Pn3UP8w2hra0d3Sa7xN0sp49LT1ws7BBp3Nhmv3tPWgtmhSL6YdrBVFZdjQ2cNZrqtZdEY4Rof16GjuRviyJAktjg0NAVbWGBvQYWRgEHa21ijaXgY2uU5YGoPS3RVSDPVgxuzH9ZevxemXnQzf0AN7Lc7PDKq7zgaB+SBYj+5aYTbB+uWir80mWAwfPvPMM+L5sraeueZrNnger+cqgnW8zowal0JgASHQ3d6H3176J3TXteGWf/wCIfFBcHCyFwToTbom5VeifWIGYGN5i7yecUoKGsqbERoXiK6WbuhHx9Ba147o9AjAAqKFcnZ3hJ2TPToaOhGVFobK3Fohc6x/5R3oKd4t6rwSlsVIGJFhQpqllSUSl8VifHxcxOqahSYEws3HDZgA7J3ssPOD7P1mid4v0+OjFsdAPzQC/bgFmqpa4ehiD08vRzi7OWJocFhKSVTn1wpBzP2iyJj5ON3UMxz5k0cuw/nXn7WAVsaJ+ajzQbAe2rXKbIJ146ItZhEsfl4iIiJwySWX4IEHHjgxJ8+Mp1IEywyw1KEKgYWGALPdSndXgkVBj1amG7Pwnrrln6gurEPu+7sE4vilMbj3nVuk5AIJ0Q1r70JbnUHP1FRpIFiaJyl1dSJyvyyU1xiaI9FKPimBHAs1hfXS6JlkK+WkhP2aSvN4Z3cn+If7SL9Caqc0T5ImVtfuEbs4CiO6EWnHwzAjx0C9FW9ibW0l9X8o3B/sGRQP2FRLOjkFRTsN2Y4RCf6o2F2JpJVxKPiqRF6jZ44ZlU7ujqjKrT3kMrvi3ktw6W3nL7SleEI974lKsDZt2gTqr0pKShAbG3tCzdmRPIwiWEeCmjpHIbAAEOCv0Z8vuw0V2VW45Nbzpb7T3k/zUVfUgPM3ninNlYPjAo44DMAw2u9/+jc0VbejvbELsWmhKPzY0KuQdtHN5+DqB74vXqQHL38StcUN4nGiRaaFSYitdGeFkKqEZbFG8kR9FUN71GFRy5SyOhF5+wiYkztLNviJwJ2EjUYvEks3aKUYeHxTRbOxCCrF7Mz66+vsh5W1pei58jZPZgryGj4hXpIBuON9g8B+qmWenob25l4Ji6asiEXuJznwC/eRsKSVjbWUeaCxvhbDm5on7WDLjATr8nsuXrD1hb7pH7/5IFh/2HmS2R6smxdvNsuD9U2fl7kevyJYc42oup5C4ARAgKTmk1e24A8/fFyeht4Wdz9PfP32LsRkhku9qsE+HdZ+bzVu+/vPzX5i6o7uu/hRhGbEoK2lFzXFjRKW83a1RmNpI2xsrfFC2eNw8XDC83f8C1vf2Skaq8rsaiFT9aWNUp8qMMoftUX18hqJFssmUDzOLMCWakODaGb9BUUHCJFqLG9Cc3UbnFwdEZ0ZAV3/EGzsbUQ31VDaiNHhUTm3tWay1IObj6sQIRo9eVrLH3tne0SmhqK5slW8VgwP1hTUY6B3/xIUDEWy/AOrvlvZ28HF3Qm7PzAQSXrVult70NbQiaH+Iflba3qdv7lIMiMPZgwVMmSoKsebvfzm/YT5IFgP7DwZ9mbUwRrq1+OWxV8ogjWL1aII1izAU6cqBGaKAMNc2kbY3z0gwmiSg+PNutt6hJA8eeMr+OClzUjICAX0o9IQsKdvBI721rB1sIV+aFi8Lu4BnnjoozvMfow7z/09tr69Cz5JkZiABQIjfDDYM4DOll54e9jAzdNFyJJviJfUw2JDZ4rcWRmdniZiV/B1iYTVXLxcEBIXKHWpSFAaypoRFBMg9bLaGzpQX9oEF08nEbozfKhZSEIwGmomq8g7ONvB28dJzmeBUg8/dyFtfPahwSG0VLWJd4m1uGj0orFRtWZ2Lg6ITg1DwVfFCF0WBy9vZwy29IjWqqu5ez8xPMsxFO8ol/Y9bDjN0hM0arH4bz4HS0awcKn23nQgn/Wj0/CLp65WWYZmr8D5PWE+CNbvdqw1m2DdtuQzRbBmsVQUwZoFeOpUhcB0CJBMDY6OwsnW1vj2k9f/TTLc1nx3JYJi/LHu0pOOCDx6lno6DWUIPKXg5dz1vSvPrsINa+5C9LIEFGw3hOJSlkYge1O2VCGPXhqH8gJDRfPErDAUfV0iLWr+vOsBuPtMVnqeyYNt+99u3HfJo9jwo9Px3r8MxQzdbMYRFBMIK4sJjAyNSBguPClERO6axS6KFJE5K6OPDo2K5wcTE/DwdcM4ce/VibeJBFarScXwHRtA53yWbyRYdo528I8LRl1Jk2AYHB8IFxLesTHkv/G13M7UW8W/KbCPWxQlYnWWhzDVdCVfshr5LQOws7OW6w0OjiDByRIl7xo0ZZwmeuBYnkGu5eIgon2GRiNTwzA0MCReO2rBWHeLxucPjAmAU6A3dM2dqC85MKORx536g9W48blrZY6UfTMQmA+Cdc+OdWYTrDuWfKoI1iyWlCJYswBPnaoQmA6BorY2fOdfr+L5c8/HkuBgbHrxczx4haGbPNP27/j3DVh17tIZgTfQp8OVy+7GyedmIW5xFF575nPU7suiW3dGEn5233dlsz5SIxl88a5/CSlh6YOirWXwDfdDTVUHvP1d0d/cKRl6NGb22Xt7SL0qe0dbjA0MivCbXqTb/vFzLNmQPu0wRoZHxRMz1Zg5WF/WhP/+9XO0VjajcncZ/MN8hFCRvFTl10poTyvc6RvqLSUXGK4s3l6G0MTgfV4pvXiJIpPD0LKvintXUxfCEoONzZ218dP7JeURTs/AmIM9Bscn0No7jL4hQ8HT6HBvVLz0kQjk6S1j+M/UNEE9SREJF0ODgZlR2NM5Av2+3oc8nsL3gK5ONOyukBCktY014qjd+jTPmCmYeWqqhA7dfdyQ/Vm+hEipH2NtMHsnezA62NQ9gsH+ERH6R/g7oHxP5bQYn3TBUtz68vVHLRHhSNeXOm96BOaDYP1m+6lmE6y7ln6sCNYsFrEiWLMAT52qEDBFoK6nB8/v3YNOnQ5vlxQj1ssLyfbuKLvmDWNBSW7MLFJ5x+u/gp3Doft58do7PsnHXd9/WopTFuQZvEc0by9HWHR0YMXZi/CThy874olgEc/rV/yfnE+tEb0v1ASlrktFVXalCLtpDBsOWdiKlyUiKQQsFJqY4i9hO1cvV+hGx/G9m8+Gf7i39AIMpufF1QEfvPAZXr7n3zjrmlNx1o9Pk6y9PZ8XoWBHBTa9/JUQGYbmnBytUZtTBTaGTl7FdjOFWHJmhoTgXLyc5TySFo6XRTepnaKHiWZlYyXEYteH2RLSo3eKWXm+YT7o7+L4J1Bf0oTEFXEo21UJWFvC5qQ0hGIMRX2jGN7nMeK1SIATIrzR+NFujPXpwDAivWGe/u6i9eLcle8r5SDHW1kh/YdrkV3XDb3Jdby8nOBW24T2imZELY5Fb49O3FjN+ZVCCln/irWw6HUaHxuTkCYF7pq+a9HZS5Czt0HIlmY+dmPGDMrpJnzpWZm48/UbYGs/6Tk94oWhTjyqCMwHwbpTCNbMe14O9Y/it4pgzWodKII1K/jUyQqBSQTu//ILPLtn936QuI9aYtlnPSj7IF/CVBMT41i8PgPrLl1lSPM/hA0NjuCRjS9h8zt7wX56+Tn1crSNjSWife2EhDCE9mzeI2ZNQ2NlKzx8XcXz9Okrm3H/9x874HzqrPzCfFBX3CCelejMSFSUGYTfkSmhsLaYQNGXefI3SxgMjADN1e3wCzN4mcIiPDE8MCTtZUjSSNDcwgIwNDyG1vpOqQM1MTaGARKPfRafGoT2mmYhaMzwW/atTOR8USiEhBaeEoKBrkF4BnigqaoFccviULq9VBors65Vb3ufNFCmhSWFSBFSjp3kiKSRJIZlG3isb5gf8rYUI+bsJShqNWTwmVqqj4MxVKi9nnJSPIq2le2n46JQvra4Ca5BnvDPikHruAWaW3uREuCK4g9z5P6unk5CEDmfnr4u6G9oE6JEjVhwbICI7vlvWkRqKIYHhtFS047oVcny2nB7F2ztreW+ppqv6SY9JisSp3zvJPH8cWwU2Cs7/hCYD4J1+7bTzSZY9y7bpDxYs1g+imDNAjx1qkJANkDdCP5252vIL67B++vsDYKbfZapc0ZI/jDWrUlEdGqoeC5GR0YPG8qhxuixm1/Fple3ypWiF0WhvLhZ/h0T5YmiTbuRtCJORNHXPX6V8X5VhfVSMDMkJgAdzV1yH/8wQyNj6rfefuYTPHPLq4hMDcFpl6zE1+/sRl9b9wGhJ4bhyvdWwT/cFz6RASjLq5cyBL2d/agtbUZ8sj/yvyiQ8CQ1ZSzgmbk+HcMjY8DYOHI/zUVglJ8QiMKtZXD1dkFr76TAPG1FNHo6+mWsjZWGbD+WQAhMCoPT+BAsxsfEm8PnY2Yf60/Rw0OiJEQkKxo1RY2ITg+Dq6s9dn2wV8hM7KIoCR9SPK610WGVdgrPST6sbW0k9Fa2p0quQ41To48nTJxPiPBygFNbFwq37F+KQdNc+YZ5wz/Cj9IvqWPFZ9OyDDn30aekAsN6VOYatGMsy5C/T9MWnxGG/E2TJJy6LNNK8DyeZSCcPByh6xmUTEl66EisSBB5rOZVnO7TZ1oTjO+TXKatTcJtL29UH9bjCAFFsI6jyTiKQ1EE6yiCqy594iNQtrcKv7v8aakJFbUuDh+QYJnY8n4XTHzUhMQzU3DrTefA6jA95fK3lePz/+xC9pYSNFQY9D/s1dfU0o+B/mEkxHihdlepNCkmYaDn44EPbxfywdDZdWvvkfAYyUvjvmKY/sGeGNOPo2B7uRzvH+IhHiJ6ToQALI+GXjck4UHWe2IJBK3QJt/PPGsJCndVwt3XHa6ezrC0ssBYb6/02GO9poiUMAnDUWdEYXbGumQ0VDRL2xtmyrF9zMSEBbp0E+hs6YFPoAd62nuMRT2Tl8WgeHcVEpZEoayqE8NDekR5WkrRTnqkKAb3C/eVps2aMexWVWDw6IXFB6I2r0o8Xxw3dWFjPg6oOC8IwX1WsPpbHrpbe6XWVXVBvZCwsr2Giu30Zumjg9HUMwQHB1vodCNIsZuA/cQ4KnKr5TzNWFMr9eQkCUXS+0dNGLVf7EHIuSIp1ixxZTyK8hoE02SGd3cYtFNJi8LJdFG0pQB6qSAfK9mQU416t4nxccmANDUK9h3dnFCTf2Ax0ukKqfJchnXf1b0ypwkRJ/4n++g+4XwQrFu3bjDbg3X/8g+UB2sWS0ERrFmAp05duAjQk/DPh97Bx698jZ6OPlhYWiDplDgMTYxhKMIVn4UZQj7R404I7XRETkMbgnzc8MSNFyDY190IXHtbL3J2VqO9tReVpc0o2pSNtoYueZ96INZBCk0JQ21VuwidrZoahUDIZr0iFvrRcRGBp69LgpOfN3K3lIqmqaNnWI7x8HJGd+NkKQLtxpGJgajYa/DiJC2NRu4nhpYvLKrJIp0UW9u6ucDG2wMl+Y1wcrGDv68zKvINmWzhAQ4o3z0puNY2d5IQap041pzPCuTY9LXJKNxaAitba0SvTBZSUpk3mRmYvDQaXXVtcPVzQ3GNIcsuMdwVhV/mi1CdJI5lDYaHRqTljb2LA6zs7dFSaygUSpVS+soYtNW0CTmkBT1wOr6074W1pSU27B5D37Z6aaujGUOItcWNSF6fjuyeUaREeaN1SwG6woIQ0tGO4T4d2us74B3sCQ9fd1Coz9Y4E2MTUqdqqrFyfMHXky11+H7GhkxYWVmgubwJtp5ucHK2x9DQqCQIlO2pRlx6KEZ6+zHQq4O9g63MI4XzYQnBUiHe2c0JOz+cbMXj6e+BsORQlDYOIsBhHOW7DZmeJHFcC/n7qsJP96n8T/eLUvtL2fGBwHwQrFu2ngE7MzRYw/2jeGD5+4pgzWLJKII1C/DUqQsXgY9e+gJvP/0h9LBCZV4topKDUbbDsMFGrYnHprM9EDvmhKDtw8h1MpAt2vKUcPzoguXwhDW27irFzs+LMdQ1ipLyVoyPTSDV105IlbW9LfpautDX3ovAtCiMwQIjI2MYqKhFbaHBc8PCluI5Sw/H7k05CIwNRABLD5S3orPXQMJ8A1zhbmeBrp5htDUZwmu0sFh/VOcZai8lL4tGzseGjZwZdtHp4bBzdkBj7zi6uiaLZjpaA4P79FBxCX4o2EfKGNoLiPQXcsPz6emil8szwF28UAzXsWefJthOPCUdJXsn60eFRXihKqcGSasTUVxrIFg837qpCYHRftCPUNzdLCG5oGh/WNjZo3ofBjw24N414hVquPEDOTfosixsybSVsg0b8i1Q+eLOAwp20gPF3oTWDnYYgAUcMI7a7CpYWFqiu6UbsaxTta1Mio7a2FhLI2qaRiSJOQkwPYEsLBqdGSXaM2dPF/FokXCX7qlGwpJIFGw2tPGhkaR5RgSipb4LCWnByN9XYZ4FVZkAUbqrXDRl/T2DsHOwFX2b9EscHBHiWrStHCmnpqG0pgcRYe6o2Jwn82Xa/9B4M5N/vFD6mOiylB0fCMwHwbrp67PMJlgPrnhXEaxZLBlFsGYBnjp14SLAIpAUUTPV/r4fPIG8LSWISArCQGcfYGWBr8/2wuJd1tCNjqHAzVDXiGZrY4khVwuMjhlei/XyQPSONozYWAOO9hitqEfpznLRVxXvKJMK4zStJhM3YSlEuZqZdgaNEIkMs9G42WetT8OITo/WvlEEhPlA392D/C8KYedoKxu7RrKCo31Rt6++FGtYBYZ6gKUNWGCT13fwcIFvTCAqantFJ0VLygg1emkSk/yR+9FekZvFLzFkxNFYOqGzuUeKhJKABMUFwcbaAg4u9mgsb0ZnUzf82aqmewTxmeFg6abRfh2KtlcgJisKVZ0sScDSVhNIivHCxPAwqqo6ERnrC0sA+gEdHNwc0VzbiYbKVvifnYCvltsiyMEZ45iAz4Qtuiz1qBkwhPY2fDSI8g8MnjQaPXPEiZ42Xd+gUUDPAqIdjV2iKWOFenrOKPCn2F/KMTQZSlXwWa1trYzZfizlYKgBZiHkrLa0Rc7X6pOFJQShtapJ8IjKiICDiwOKcg1etqhYX5lrGzsbxC2KlEKpzKBkhiTbE3FMJJT0vHn4e0hYMm9zMVLXZ6KwrANhoe6wHujbL3R6sE/ko5vvkd6Nyo4PBOaDYN3w1bfMJlgPr/yfIlizWDKKYM0CPHXqwkWgobxJRNUsOnnrtx80AsHQW2dTFyLOX4KcD8tgbW8Nr2/HoaDBoHfydHdEEyYz54LdXWD99yJEBrugo64dzVUtEsqJTA+HfmRUstZo9FbRS0HxOcNVLDdAMhCREirjaKxolqw/zZMRHBeI5m49YhID0F7RhIDYQFg62KF4V5Vs/vwvdVGoaLkcXZ3QWtOCusJ6EUWz+bIm2g7LiIRnZBDKSlsRFuWLgYZWCcmxTpOHhwPq8qr3C72RYDWUt0ghVIrc7Z0d4OhkK2FB6sQ6GzthaW0FN38P7HrXIPb2CfOVsdu7OmJvUbuMLSE1GC1NPRhq6zJ6zegp83a0kFY4HIPVXzegrP/Axsqmq9JmHEjvtUdIgx4DuxpEuJ+1Pl3CrPrhUYyO6KVi+qhuRLxGrAhPrxUTF1gWgmQzMJrlKPqExLIxdM7nBo8UyRUrtDMRgNmJi8/IRNnuCgTHBYkGjrqsmPQQtNe3iyi+vLgVPkEe6O8ZwvjEOPx8nWUMJJ8MG7LkRX1ZM8ITg0TwzwSFwb5BWNvYiNhdy5CMWRSFcVdX6PsGYGsFdNa0omOaMLCGQ3B8EH75ws+RuiRq4X5gj7Mnnw+CtfGrs80mWH9c+bYiWLNYO4pgzQI8derCRWBYN4ybTvkNSndXImF5PAp3GvRIDAGlnpyAnK2ViF4Sg/bOQXT3DsLh9EhUtnTBztYKI26WGBrVw8vJAVGVA2jeWg9nVwd05BnIFE1KH3Qb+upRf2RtZy0iahYCpdeImh+Gzoq2GcKSfG3xhgxjs+GsDRkoLWnD4IBBi0WztbVCkL+zZOV1N3UiPCVMqpvTQhMCJbRHMTxrSZEgsaUPtUBNla1CutI3ZGLPR4bjacnLojAxOirielZeJwGxsbMWIbl/ZACKd1UiLiscFpiQsBcbLLfWdci1tVCbZPhtKxdSlXJ6Blp7R+FmC5TvKEPGhgxkb95fAB6XHIiRrl6UZVeh68k16ByeJKsHW41rSi1Q95QhG5M4LaLu6rN8o3eQYyBZ3fnBZKNmUw8hz2ODaFcvZ1haW4qYnrW2KICnl4sWEh+Ivs4BY5YjvVVDulH0tnYLeXTxdUfuNsMaSVwaLRmdPa09sLSwQH1+lYQw2deQiQIs4UBhOouY0uKWRAuh1YgdM1Edvd0EG2dXR1iMjyI4yg/F20qM5R40LDgn4WctgWdkAP7vN+eJDkzZ/CMwHwTrF1vOMZtgPbbqv4pgzWK5KII1C/DUqXOPAENDm9/YJv8tPSsLay9ZCSur6VuAUAfFjf+0H6yelzYhr/zuDTx/+z+Rfkoq+rsHJbTD8BA32pDUcHgFeyP7q1JEJIfAJcYXn+q6ERHqCScbS1iPA+0v7oSurR+xJyWhrqIFSWkh2P76ZgE1YVk0etv7JaRUkVMt+iVmDZaZCMszT0vFno9y4eTuJJ4nhuD8I3zg5OYkZQgYauMGG5wRjYaaDiSlBiDnoxy5Pj1hPJ61ubjZM9xIItBSY/C0MTzFelOsY8Xj/CJ8YefvA0erCZRl14rHRdfZLe1qWLuJujCSM+0aUZlRqCpoQHCkt5BO6omYYag1TmZYjEQudnG0EBGaC6u459XD288N9i6OGB7Woyy7Bt7+LtANjkpIrKm0QcTnLCJad1s66gYNmq1DWZKTB5yeL0RvYSv8fN2lXU1QbIBorDRLWBZj9Bay1AHDs1poVPBaESfZfhmnpqAqt1YSD9hDUdfVBwdPFyGQ2R9OEjSeQ+zZ2odeSFcfNwmXWtraoHi3IYORFp8SiIIp5SBY2sK06Gj62iTYOdmjtqhRdF5OrnbwjfADcx0CQj2R/VEu0tanQ9fZu19pCXrGolcmIq/HkN24ZFE4brn7XLh4OB8OMvX+UUZgPgjWdVvOM5tgPbHqLUWwZrEWFMGaBXjq1LlFgI2Gb//W/SjZaciO8gn1ZkklZJ2aKoLkc649HSRVrG9EMvPWY+/JcSQeD316FxxdHKWtC89f9q2sORkcW5k8tfF5XPW774kXQzOG1u445wHY2NpKuCr/K4MniaUA3AK9UFfRJun5+fs8Wzwm4YI02HXpMNqvR2trv3iHbG1t0FjTbmgqTE+JmzUsRkcxYQGM68dE36N5LpackYFdm3IQnhIqXhT2pktbk4yawjrRD9H43CQQDHd1NDC8phO9EUnWaGe39A5kfankk+JR+HUpYjIjBC+K02lawUtTwrH420tQUtIq1/GwHYOVnaHWV/GW/bVNzHJjv0VayslJaK3vQktFo5RFoG6Jni6tUnlEahi8gjyht7ZFW1UL9NYW0C2OQqCtDbp31aC9tlNCn0FetqjKqT6gsTKfw2fjCmx2H8To+BhGxyd1bgeb+FV23vB7rRrFO8ukQCvDeloRU4ZatSbOpt4rkkPW/yreWS7pitErk1BZ2mLUWGlNvO3srZGYHIj+jh4JL1IXRyKmzYs2Js9AD4QkhaGzoQMB0QHI/SRHBOwJy2NFs0ZSxzAxw4XUi7FOVtmeSviF+ki9Leq8uCb7RiwkbOji5gD/AFeU1/YhLikAPXUtUsS1o74dTiE+qJ6Y7BYQHemNNWnBuOjGb83JZ0Nd5MgRUATryLH7Jp2pCNY3abZO8LFyszrP83IRBLNFyWD/sNRl0mzRqcnY8d4e+ZOib248TLdnphpFyCQA3BAf/uK3UoNpLuzx6/6Kt5/6EE5ujlIhm0U9GWK796JH0VzTiobSJkSmhQsZsLS2hp2bM3K+LodvsCfCEoPQ09oN/bgFdIPDcLQBHOysoXdyRnHOZJmCqePMWh6J0a4esKwSGx/nfZ4vdaCosyLhImkiaWFdqLQ1SVJWobezT9L7WXdKM2bgNVYYPFIJS6ON4USKnRlyHOofQl1po5AFkgh6mIghN3nqjvyj/DGkB2pqOuFqayFtbQbbu0VjZGFjA0sbS4yRCY6MwMbGCs0VzeK1aa1rR+raZFhY26CvrQt2nBdHO2kXxFCYnaV0YIQAACAASURBVKsTcncYSi8U59YhKM4frWFu6OgxZCxmBXqj7A2DPiv9lEjsfnmr4BuzJgYVmyskfMZnK8+pgVuSP1zPT8TnHgdWY5+K68k6V9TfukmyGkloSQhzvywUzRsx5fqj0fPjFeApWZFRaeHiQWRokW8nrk1FaeFkuQceT2IUmxqCvuYO1OTsK32xr7ip6RhYN4vZhS376o9xDZMsEZOpPQ+18yiyp5aNhVY1S1mXhsJsQx0sdx8XOHm5oKm+BzEx3uiubhaNHjMhIxdFwS4sAA19o9J8OjbEHQ1f5ONv+Q/hid/8Bzf/4aK5+IioaxwBAvNBsH66+XyzPVhPn/Sm8mAdwfxqpyiCNQvw1KlziwArnJ/j+kOpXB2RFoES9o0zsei0EOiH9bBzshUtEsM1DL+QKGj2owd/iAtv+PacDay5uhV7P8nDs7/+h+iLWFmcYmO2M6FGhp6HibFxITYMqQ3YOsLF1QHd7f1IWhyBvI/3heSWRApR0sJ8zp7OiFqVgoJ97W844KAIH1gMj2Cgqw9OznaoKzEUmWSNpORlkRjs7hctzs7390pmG4tUsjyDZpLSv8/7x9eo0yJ5IiHk2BlmJEnzDvISIpr7RaFooei94jN6B3thRDcsBTSZaecX6Q8rZ0fxsrEtT+KiCJRsL5XrpZ2WgYJSQ+scWmqynxDJjtZeNNd2GApsLo2Scgpj3T3o6+gDi2QGxAajMHtfmYmVcSjcXS0ewLDvZqGovl1CvuHE8YNChF8QjoIlXYjNtQd29aHhYjuEvz6Gobp+8cTt+djQqofnez59JnYNm9T7Gp+A87gl+q0NpCnL1gNd174vJJHGeWQpiPb6Trj5Gnowslo6iRyJFkOIfpEB6GjrhZOTPQY7eyU0ySKuwQkh2L2dpMtwtfgkf+R/avDc0VJWJwpe8t7adFiO6+HgZIeCL/Il5KoZPVSmxMn4xpR/MAOUBJWeSVroojjJoKQlpQWhvrhB5oTh1t0fZktlffYjpDeVGjH2SGRvSHp93YO9MWBph7KiJvzwF6chPNYf7l7OiEoMhO0+L+bBxqFenzsE5oNg/fjLC8wmWM+sfkMRrFlMuyJYswBPnTr3CDx89dMo3F4u2VSmRl1KW20L3LxcMTQwJAJj09YpPJZC5VdqnxYN0lwbQ0T3XPiwaGAi08L26wlHPRE3uIQV8Sit6jZuvFlLw1GVVyMeudj0MOzdp3/SBN5O7o6IXpYgG3pNfS/Co32Rv7kIsanBKN1Wioj0SKlW7unnhrbyevGsOLk4YmBfeQHTdjCGjX2ydAPf627rlVAivW80Ea0zjOnnJtlyGkHhsfSqZJ2Zha7mLlTsrhCtVNTSOIwPj6AmrwZOPh7SvLl6T7mQRAdXJ+wtMGzytITkQBTtC4fy78ikYDRVNWOwdwjJiyNQtq0YcatTMDo6biygWlXeiuF9+ivvKB94Z4Sg380Guokx+PoA28NKMWI9Jq4j+1FrDNmOIWuPOyru2Cn3TGSh1ZExdPWOQO9mg5qrwuHcOQrPIQt4NY/CumsYuZkOSC4fQ/u7xVKCwtbOBnr9GKrza4Vo9nX2STgu9eREyXTsae2V4qJsgZNyeiYKd1UhJilQnlsjR8we1FnaY2BfTTBnd0eEh3tIHbPevmF0dQ0gPMZfyFxnax8aq9vgF+KJppxyEfhrxvDskG4ELVWtMkdct1qhVB4TEOUva4lZgMVbS8TrqOvTIebUDPS09MLNzR7Fn+UatWIkjVwj1QV18A/zgbO7Mxh210KfvCY9noXby5B0xhI0tPSjq93QzPvKGzbgwqtPnuuPjbreQRCYD4L1oy8uhK0ZhUZH+kfxl5NfVwRrFqtYEaxZgKdOnXsE+oaHccePnkTZWzn7ZURRdM2eedomx75sPsFextAOf+GzTtB97942p4OiV42lD/56y8vS445Gx0VYcgi6mroREOkrlcUZQJPikrsqEJIQAhsnBwx39wkhs3e2Q1NFi4SlEpbHSQsUapE0okXCxgbMiWtSkPNVGRIyQlG8tRSBcUFCNBOywtHV0CYaM5YZoKCd+jRqbSpya9Dd0iNeJxIlEipuyiQLPFYzhuNYLJPlF9g0WEjR8hgM9ugMno2wAFTsq64emxGG0e5eEbyHM3T4ZSEiMiLgFeQlnrvCLYXiQZvw8cGQTg8rG0tERXhLRfKGqjbEZ4WLkDsuI0w2ezY5Zj9E9gBsazRkxsWuS0KnrTV87G1Qt60CE9YW6F0ZhK4+HVyd7NC3oRETlgbvk2ZLKwPhsH0Iua/uNBKVhFWJKM1rgKWtFcbuXQzn27didGjEqK1iGG5YsKg2hgDl2ZfFigeLoUFm7tF7RTzyN09WaY9fk4qy3DokpYdIb0XNiEl3Wx/8owPQ3Tcia6C6uEk0UVMtKinIiGtSVhjyP86Gjb0NPEO8MDoyjk4HV2Qm+qA5p1K0W5wL9hpMXpOCwr21QkbZXHss0h2lGEPchCV2T+iFdC4fHEd3do14TtlSh30a2frHw9cNVfm1khzCdcF55Hx5BXqKflHr5+ji7YK4DUvhH+KFn919nlEHOKcfIHWxaRGYD4J11RffNZtgPXfya4pgzWINK4I1C/DUqXOPQHNfPzY8+yISOyzQ8fBXxhuw0rWVJaTGlGamwmS+tvSsTNz7zq1zOqj3nv0Yj/74GfEOMX0+MNJf6iYxRGVaPZtkiRsZw2D0frh4OkHXPywNelmQlEYCRA8EQz2Lz0iXzEPGt1qqW40p+Umr4sWj4hPijT2bsoXgjA6PoKPJIFDX9Du8Lnv0FW0tRfLqRAz2DAiJiEqPkCKVzHpjCNPD3028PFoWnyk4DGVRXxS5OA5FuybJGI/187aXEhGsx2Xh6YW+/hF0FdcIcUtbFYs9H+xBymnpKCrtgKubA+xHBtFa24HQzGj0dQ+ia18Pv6yT46QiPVmpk6crhob0GA/3QX5Vm4QDaWnRftC5W2FPk0Ev5uxoi/4zGyUJQDMvG2dYXGLQHSWmB4s4nG1jYGeP+vIWeT3l5Ghkvz3ZSNne2R7RaeFgzTISKYrJaYamyb2S7Ulj2I+kJiwpGDX7+hvydTavZnitpZJ9Fb0km5Ki9bS1yVJuwjvYG3YujsjeWgFnNwd4BnqidkrvwPRVscj+cpK0uXk5w83fHW26cfj6uaK6sg3Jsd7IedOw1jk2Nx83FBc0GT2hcWsTsNXlwGWdZWOL9nf2CoFlnTR6x6Qf4gRQW9wgZJqkn6SLmkRmefJN/t/R3RnFe6oxamuPa+48D+dcqbxXc/rFcZiLzQfBuuJzEizbGT/mSP8Inl+jCNaMAZvmQEWwZoOeOnfOEHhx1178dfsuqQ/VPTQEm/EJnPn5oHix6JEZZnHNbZM1kfjLnL/ItTpQHMjGZ36MM68+Zc6a2rY3dODhq/8sng+WISBhIfnQegRSR9Va0yabIjUuZXsrJXSZvDIOllZWUmtJ81IxLMf2KiRlFHs7uzvBN8xbmidn7+vZx2eIXxojQnPqo2gMHVHIP6bXCxZVeXXw9HMHC4myFhcz4ei5I3lj1XcWnCQJ4DGuPi5GjQ/F0jxfC1HFL40Wrw0F7eFp4airMTxbUJSvhNGsJ0aFvEWflIKyyi74BXvA08MB6O2DxfiY9F9kSJZkkXWyOG7q0FJPTUP+rskyBP7e9rC3txbiMuHiIjqw+AuXIafSQKY0c0vzRkP7ZELDivQATAx0Q+84gSb/fgTZuaPiGkOCAy0uwRfWjvbI316JpKxQKRTaWN5kLJDK0hHM4hMM3Z3EC0TxPdeSePr0Y8ZK+No1qUVj9iSLkLK+WcqqBBHBa0bN34huFB0tJC6WaKlpB7MhO7t0Ru9VyuIw8Si6BniirqodvVX1SFqTivbWPrTUGTRiSWuTkG8ilKfGLtzbDr3NXQgM90FDRRua9vVZZDkM72+nIFc32bJIG0+AhzMG//SRhP1yPp/M6OT7S7+Vhb2f5CJuUbSsX+oGGSJtb+iEq78XGioMpNQ7NljCiQ+/tXHOPsvqQodHYD4I1mWfXWw2wXpx7T+VB+vw03nQIxTBmgV46tTZI9BU34nOjn7ctPVTlHVPeqcYAkn8YxGG+g2i4JQ1SaJ5sWM1Ab1eNn8KtUmyuHGwVQvF7mxWfNX935NMs4//8aVkgX33pnOMA2V5BYZi3vrTe6Kbouib5Rd+ePd34UwvmZUVdP06fPH6Njx27bNyDEOCbOPC8B+NGhxmfbFeUsmucvGMkEixWW/m6WnY+3Gu1INidt+SMzNkUyOZoTFkRZLFshP0MrCOFK/XWN6C+GUxMm6WT6AOSHr3WVgIiWNZBWq5OBY7ezt5XuqGWGGc92HlbxIsVhpv3pelRg+OlgDA8XGjpfeCGNAboxlrbY07OEnrmrwvCkTHQ+IXGBMAvYOjVGbvbu9DTKwPij7ei9CkYATEh6G+oAYNJY1SB4seNBt7O2OV9glHe9g62gE9fehv6xFi5xIWIH0b3cN9UGFpKEvh6QFc+8Ne+ASOYEeZO8J9dejT2aCh2Qvv3mvALColWOa6v7FTPHJ5nxcKWfQP9kBzTTt8vR3QVLG/Zo96JNMQKT05nC8SEZLN1JMSUJ5dbQyXaVgsPiNDGlMzbEgypoXT6D0ct7KR4q9TzdbRFnYerkKcI+P8UbnLkAgQuSgaTu7OyPs4W7xIPokRKNxWjqC4QNR3T4rdTa8XEeeP8dYu1OTVImF9MgqcLdA9OtnL0vTYQE8XDPxxk8wXMyKpSWQxVz4rs2pJorV2Slx3nANqvpy9XFGeWyfZk56R/vL/+/91nZTRUHZsEJgPgvWDzy4xm2D9fe2rimDNYknMCcH68ssv8eCDD2L37t1oamrCW2+9hXPPPfegw3rzzTfx9NNPIzs7G8PDw0hKSsLdd9+N9evXG8954YUXcMUVVxxwDZ1OB3v7mVUjPpaLeBZzsKBPPXvVfRgeGkXM8jB8GGTQ50SO2SO2fgLObUPoa+2VhrwttR3oajP0l0vMCEXeJ5PZc9TOMKtwOmNZg8e33y9aFHqK7rv4UQkHkWzQAxOdGSFeD3qC6Jli5h1DelrGlnZNiuypc5GK42uShHAw049Ej+FD6rNIcOi9onejr6sf42NjcPVyNdZ+4rV4Pot8knRRDyMEIj1ctDfc1Ok140ZNrwSbCPd39gthYmaYi6eLhP8Co/xlvKzwTYE1N32tPIMmdKeuS7Iaewbg5OqEXR8amjnTmFFIDRK1SSxcGr8yAZb29lJmgUJ4hrvY6iVjXQp6B0fR1dEv0brwcC901jQLaRu1sBJNmIurHZrKG9HfNSCVzgd1o/BdGou88Qkp3ZAY7AXsqcRgazccwoJQVcJWMIEon5iQfowZyRP4w03vwBL7e7R6B9JxyfowxKSHYnTCAmNjY6jdVYG4VfFob+tDgI8TdC1dIhDH4MAB8zU1fEyCwRISJFgU+NOjI6Jw6e9n6OlI0zyOU9cSswutHR0PqJSuHZe4OklCbrTgQGdjI23+HbM4Gk2dIxLKi00JRm/fEJr79ftpwrTrxK+NwahOhxbLcdQOTWbHTre20/08UfXguxKO5hpguRCaRizjFkfLeuHrXAcsPeHk6SLeq/rSZkRnRUBvbYfasmb8M+9+uHmqAqTH6sv4WO5N2r0UwTpWszt5nzkhWO+//z6++uorZGZm4oILLjgswdq4cSMCAwOxdu1auLu74/nnn8dDDz2E7du3IyMjQ0ZHgnX99dejpGT/Vhn+/v4zRulYLuIZD0oduB8CF69/EF0dBi2MzXmBsNeNwuatailzQI8K9U6t9Sbp95KhFoSyzZMtW7hRkjDR2zC1sCOvu+Gqddjx3t799FusYM6wHTdceidYAJIhpYNtsPQuaZW/E05ORll+Exxd7OHv54jSfeJ32aBXJ0gmIGsmsTEzNVMkSqbGkCL1TfQ6JS6Pk3AVRfp7PskzNnVmpl75niopG0ASSG+Wh5+r6LpIZgb7dTJ+itRZjJLGa1JAHRQdICJnEkl6eiiGZ0jRtEYWw4H05CWvTUFhdp0xrGrrYIOkzDAhdY0VBgJI4jTcPySeQns7SyFl0UviUFXUiKRF4cj9LE80X8yAi1gcjdpALzRqZDjKHxU59Qisa4JtgB8aqtvl+iM9fTjtQh3OPPe/sIChkrupTcAeza2L8de/hGLrZoMHJzHeXwT1eftKW/gGuCHEwwZ5H+wxitpNr5F5SrJ430iuSaJIbKmPI/lk0gFfJ5Gmx4eYSiaoSUV37VokqkGxgSjYZvBgTjXOY3hCIPq6B+AbFShNqbM/3C2epdD4IDj6+6Cmsh29FMFPTMA33BstfQc+M68bcEoUCrpMPLkA/NydEDo8jnFW1fdyxJB+DNFjFrCpaEXBR3nG5+L5fBbWOaOXjs9sZWONmIxwVOXWICIzGqV7qhAc7Y/K3FpEpIRgcMIKI8N6rF4Xi58+evmchdfV19yhETiWe5N2r0s/vdRsD9Yr615RHqxZLOY5IVim9+cv9MN5sKYbL71YF110Ee688055mwSLRKy7+9DNXA/17MdyEc9iDhbsqWzRcsHa30u/vKQgZ+S9s12wYFFNODmho7VPflWz4a3WtoRi96BgN4z0DYIhMHp9WMOJRk9QRfak/oevkfAwTZ2/8LVCkiQtYYnBElojeeCmxPCKm7er1ODSW9lC19OPga5+eIWR0E/AxtoS+sEhtLX1SyilqbZTrpe1MhI6EigLS+m5R2U2NVS97b0S1iIxYhHQ1pp28VJRSE3PD8M1dk52EpIjGQuJD5L3fYO9REjOrC+GFaUSu4OthAapDUpcEY+Cr4plE83/alI8zWdlSIjPL2SnjKFPhh4Nwmy+V7zdUISU2YzxK+JhaWMNWFvB0sJSQocWFiSpvfAP9YKuVyc6IOrOkpdGSs+8nC2l8GY2Z3u3iOnHYQFnV3vpqefm44K9n+QLoUu4Yh32dhjS/+MDvFBZ0oIl4Z7oqusChnSwsbfFxMgIRjor8eSmalhZGPRA09mwPgb5hfF46plAuMX4A2NjGKjoQl1ZK2xsreAQ4wMbvR5OVU2o2pc1SX0b+yz2tPUYewVq5CMmk8S1Uogrya2msUpZFS+Nn1l4dWoYMOWkRBTs2L8mm+lYSdB7WzqFKPO6nFvOJ8PEmufQ1dsV7rFhaKxul1WSvDoBvYMjcHO1x7h+HBOYEN3eWLAzWiZG4T1qgf68ari7OiLvzR2Tt7O0kDVFjyI1Y/S6xi2JMdbd4oHMuI1ak46OnmHUVXcgMcEPY53daC5rkhY7LXUdMmeJbP5sb4e+1m5U7i4Xcv/IF79VJOsYfCMfy71Ju9fFn3zfbIL1z1P+oQjWLNbDcUGwuNGGh4fj5ptvxnXXXWckWFdffTWCgoIkPJCeno577rnH6OGa9st4eFhCjppxYYWEhKgFMosFcjROZemDh696GoN9QxgYHQe9JgUfZe/nhYhfFovyCoPnihs80+It9SNormzBYJdh86ZRKN7RwM3NkJFGrwRLI9DoQaouqJX6RBQ2k/BohR0ZOmSdKM24uWhtXFj/qKhwctPnjwbfIHfJbqvYp6VydLFDcJArCr8qRmBCCJqrJ4tuRqWEoKuhXcKAhjH6iI6KmyGbAGv9BDkmkjQWheTYSHwYxmK2IkmR5k2jh4o97Rg6JAHiBjoyPCLnkYRJK5y4QKlsTzLAQqQMATIBgOFAFiflpswsNycPZ/SMWUmrHid6WCJ9oB8eQdW2/2fvO8Akqavtz6TuyTnn6Qk9oSdvTuyyu7CAigHUJyqKoBIERUXx6QOePp6KfxRERQRFUB5JyTltgM27sxN7cs459uSZ/3duTfVU98yys86ys0Lf79sPtruquupW9f5On3vuueUCYmkBEWkIRfHuUiSvSsSE3gMdx8wC/nhMLuqWQYvV6JPApGR/hZTaCCrIjLXVdSLm46sw7eSCxtZB9PSOICPMG65T09AF+uBIVafM7rv3p21Ijn8TTlC6+04Ws/DFpT/9D3QPKG2Fvjo3pM3oMaN3RfHc7EQ3ZyekT09goKlbdHmlh+skL7NjozZGtHkX5aG5oQ+R4V4i5j/8SgFo5EkX/N6OATETVecOqufDsT8nY694/zLWGdDb2icAWL3nMuNxelq8rCqPVAtTlrw+FZ5BfhgcHENTdaei5ZsTvttfO0G/U1ubNDjweeHf+eOCHaYMmoiyVMwSKU1RaV/CcUQs3/b1jmDQK8DmkGw0CHWeQG1BHcKSIuRZi0iKxNHnD1q3Izh8deJxB8D6IP7RszvmSgCsz771Jei8TqOLcGQCT25/9LTWz5aWFvzgBz8Aq1qU86SkpOChhx5Cfv6ZGV12Fm7NGf2IcwJgUb/185//HGazGaGhoXKBBw8eRHV1NTIzM8GH8Z577sHLL7+MwsJCJCcnL5oE6rjuuOOOBe8NDAzA19f3jCbOcbB/PQP7nz+C2z75S+sByCaNjowJy6MGWZvs7dnoae6RNvsJy4SAEdHWFNmyVGQiKExmGFcnWmcZcpyMKkzne5wPR5BCUXr2ziyM9o9A5+UurJXOQ4+K/eXWLrSsC3LR3DqEwf5RhET4Y6ShBZa+IRhWJaO2sguppnCU7CmVDsLR0Ulhv9juz4Xr+GsFc+32vijbT8G0i9V7iqCJYvXaogZh0VprOmRkDB23CfjExLSoQVrtyVIRNLFcyGOo3YYKcGwSpsS+pKUtcaqDlSnu9gjyxbFCRQjuF+CJwGAf8YFy17vK+fTWtApTZshLwJHDDUhODIaLsxOaWwfhPzMqC3hkcjiqj9Vay2oc4UJdD407OT+PWrakXIOI/VXAGpsRAxdjLLy8PDDRNQiLrwcaO4eELfvrfbWICNh7ygfp4T1X4oEXPGy2W693x7CLDlVz3XZ80xmz0qSQ5DSLur2Krio5I0L0cQTJBCJ+kcGYmnWCp84JBa+fEKaQz4R9JOXGo760WZomvAO8UXJAKQ9GJoYKOGyqbBcAl7oqAZbBESnVEgSx67PJ3IL4zBgZZUTPMQI2gheWaFmGZCSclyNdhkJNLhKenjoMmmvkMzI2psozEZ0SKeCWYJwTDBhkaPn/6gxJvhaTnYC2cWW2pDb4/UmL9sLs5BRcPD3QXN+DmPhAFL6qWFt88oaLcP29V53yfjg2WH4GVgJgXf7Wl+F2GgBrcmQCT21/ZMkAq6+vTwgQSn+uvfZaWctramqEPElMTFx+0v4Nj7DiAOv//u//QKbqueeew44dO06aQrJc1Hht2bIF995776Lbkb1yMFjn/lP4ykNv4e5r7pcTJVhQBNuJ0j2nhoi199nq7/ge3a+rjtlqYcgMsV2eGiBqXqqOK55OdFgnMCH7ogYXp/jNGSjvV8w2tZFnCMBkU4eUirju0b38REELwmMC0XxAKUN6+nnCsMaIsrdOCKMzPTOLyjlxM9+n6JwAhmBLzB6dnUWDxXImBwurZcyw+BDRZxE8TYxNSFmKgKi2sF68r2iDEBQRIMwX2Q9eI5kwCuN5bDJNLN/xONRqqUFLApaqpDsxIRS9Hf3i6B2ZEY/SCkVInrUqHlUlzVJmSkgJg9PEBIp2l0rZb2BwFKHhvpxCjfJyRYNliPRC5bulyDovAxMTU6g9USdsTcbGFJTODbkmCGDpkoxiV2O3sF/q2J7Uz2yE3k2H0r3loA+Uc1IYPv6xfnzuor8v6WEdnTZixw+3YnbWCbF6NwRMzWLyWB3cIgJRo3dHcIAXwjnj0c0VFc29yHaaQfE7ZQKqaAjr46PHwMCYaP28XKbRWtkqz50A2ZMEO+sSc+Ol9BYYEQjPAB95JjrrO+S+CEv2Xrn4T2lF8jLXMSsOrjpnVGqc7fkxZPgIpBnZF69GS+sA+vtswV1oqI8wfmlpoTjxouJYb1/6TlubjLb6TgHohRqLD/VS0rZno6plYbej9btlDEHxwWphIzfvTIfOBfLMfeybO6Xk7ogPPgMrAbA+8+aVpw2w/rHjr0sGWD/84Q9Fi71v374PPoH/Jp+wogDriSeekE7Bp556CpdccskpU3bNNdegublZ6MelxNl8iJdyPh/1bTi245dX3ifia/6iZzmM5V8CK3txuSzYGsCl5o66IrUln91T7NLjr3zqYNjlR/DBEhVLJWRRVGsCdvXReoD6l+mYSFQ1LdT2BbS2oq9xvpstZU0yXLy94OvvjqPPH7aWISkaJ5CgUJht/Sx1KjYJkzI3sODtElmMCZhYxqHDOQERWQYae5IxIbvGUmZSDlv3K6wsCq+DLBZ1YywHaiN9g1HYk+GBEXj4+6KjuQcJKeEy7oUibYrcGczdjJcX+gbGERPli9rSZsxMTMItOBB9fRakZUahr71fOgV57qk5sag7XoOkVYkoOVwLQ2KwmIA29iilu9zcKHSWN4pz+ZFXTiA5J072D4jwQ8WhaunGI0iksz6F8wSTLNuSzWFHpXuIHzo6LOJWz8jfGI3Vaxqw6/PlcHM5+dBr7bX/4/AX8YenfaB/4pCwQjGpkTJaZtbPE0OtA2iv6ZB76xvmh6GOAenmbKnrhH9kEBrK5/KyKh6Frxy1HlbrlWX/3STA50imqmPz4HWx7689+OEzR6sNPgMLjrmZPxrMcu/JrJI9S1prRGf/uAjNI/x1KNtXhpxtJhS8XQzeb3ap8jnn/eVQaG1Qq8jvFN31tZF16XqUlnfBEOePlrZhTMw593ObeEMwGo7Xyvfi+7+9Eudftuaj/s/Silz/2Vyb1M/61BtfPW2A9czOv6CpqcmmAqTX68E/9pGeni5OAFyj9+zZI/Ke6667Dly3P6qxYgCLzNVVV10F/vf9LB3UG8N/ENasWSMlwz//+c9Lul9n8yFe0gl9xDe6/TN34b1nNIJdAQNGYZrIYnHRZrD0lL01EwXvlEgZjKwTO/b6OgYQnRwuJT4CJrIB9osO9+cvczILqlmnVl/F9zlmZjQxDsOjVWvQ6AAAIABJREFUtv5CwV0d6LbzU2JJksAtc3OqMEZ8DsnesFxDRspF52JlEcherNqVLTocuqdPTU6JJQCBYlx6lABJ6n1CY0PEr4q6KMWos8M6J5AsB4EamSrtbEF+XmdTl7ApofFhqCpsFDBjzInD1OQkepoV00v6hnkG+6GgpFPONTJQL8Ame6MR9UX1ipg/LgzF71UqlhGr4lG6z4zErBhUm9vh5euOyf4hJK81otTcIWCs+Ln3ZO4fnc89YyPh4QbUlLeDnk2lrx8HGRUK7lddlCvXo9e7ip6NWjFqyaiLC0uPw7STKzy9dGg+ViklxUcK9AgLs30eTvYVYVdhUf2FuGWDUh5mByWfBwLziYlpNNd22TCV3Ibnc3zfPCvKZ2iksU1xOyczlx0nOjZ1BBJfY044wJu6KYJMAuPFOlPV86RzPwdjq/vSr4zeU9p7p25LQMUyJZ9b1d+N7yXQE620Wc7LfgA0vx/UF3Y2dom3FYOlXFprVJS2ITY5HC4zUyh/d94QNWmN4qfWWNyAhI0mlNcqXYlR0QGYHVGA7ue+dQG+8qN5f7iP+D9NZ/3yz+bapH7Wpa9fddoA67kLFq61t912m9gq2Ydqn3TzzTfj8ssvx+HDh6VR7Y9//CO+/OUvn/UcnwsfeEYA1vDwsOilGKzB3n333VKHDQwMRGxsLG699VZQ/PbII4/INgRVTDh1VZ/+9KetefDw8ICfn5/8nVqqdevWid6KDwjLgo8++qhQkARaS4mz+RAv5Xw+yttwsb9+zQ+tAm9tLriosaV986fXiU7qUzddIvPU6An11K9ewAt/eE3KdksNLmT0rao8qnR+USBOIKYtpUWnRaEvLBwjY/PHTQvWw/yi7YKvsg0UkVPITcExwZs6JoddaV0tPeLebQ/kWGaamZ0RIEYdDr2XaAxqHwQ99ORit+FI/4h0FTKYC5b52LVI+wUCNIKvsJRoTM1C5g4S7AWsTkXrKweQvo7lqnLkf3YznJycMTk1DUvPELx99JgeHZft2ZXo7OWJhqoOGcJc/I7CtBBA1ZjbEGcIQuOJGoTFhcIzLBB6Vye0VTQLK8Uut4buCUTEBqG3lSByCiGRAYiM8Zeuw9LqXgQHe8EQ7YvxYXZ+TmB6ckbYvVk3PSpKlPIYn4WktAiEh/Xjizf3IzZ+fiTS+93jWXjgnw/vwv5XdNL5ONAzKA7xBFnUVVXYsU2G/EQ01XRamUe6ojuPDGGwW7kHWdtMKD1Sj4zV8Wg2N0uOCQYJDsXklSXpfDYXWNBiN3xcPU9td6YWVKlNBtrrIWtLfzO161X7nloytgdm6nG4L9lZWmWMzjijs22e3WQ+8zYkymBuutnTVqL03XKlqSI/EXWDgCkzUmxGyP6Ryf1bwf8ICHPEymTgbK5N6md9/PWvnTbAeuGCh5bMYOl0OqxatQr79++3JvXGG2/EkSNHcODAgZVJ9Ap/6hkBWLt37xZAZR9XXnml2C185StfQX19PbgdY+vWrUIhnmx7vv6d73wHNCRtb28X0EXgRtS8fv36JafsbD7ESz6pj+iGve19uOfaP+Hqn18hYIdMFp3IyeRQN8QyHwXKi8V3tvzExqzzVCkkWFD1XGTDyPSQWaF7esURRb/F8pVhiwlNky7o77cI65Lq54qGg+Xip0UmiZ2GLOlQxyUC4XUpch40+GQ5josVS5EEh7Qv4Cw+fpZ9EEDSy0rtHlzs/O0717gNgUOJpkyauyML5dT1zAJe+Ub09FlgSAxBbU0X1hqDUF/SjOAQbzj5+6KspA3p6eEoO1SDjOwomyHGwTFB8A4NQE9DB4bmutL4eQZTFAZaupXSpcYJnaXO6YkpJKwxwmzuFC8q19lZm2tNzDOgpkIR0RsSAtFjrhNAR+E+wUHm+VkoPdFsvXR2xMUmhmKitxN3PlYBT4+FejtuPDkVi5cfS4G7F/DywxYEx8Vi/7Pl8gwRSJP9JCh1cne3Ain1Q+iDVXOsGoY1qSjcr4jCU02RGBsYgoevF8o0I31UC4/Y+EBpINBGyup5PZn2dS244uvaDlaW9WJTo1G63/a6WEbl8+Ll72ljjrt6V64AbH4PVPf1yKQwYdQ8fT2lrE5Wk+xrr0UBfymmSLi5OKG9qtXaOcvXA8L8EZubKHYYY+NT6LVMo7N8PvebPpaL//zT1af6Gjne/wAzcDbXpuUCrKU2icXFxWHnzp148MEHrZmjofjPfvYzIVg+inFGANa5mriz+RCfqzn4MJzXw//1OB77n38u6nxtf32ciUeNUnN5q7ylFRZzOHJkUriYelI/RSCVefEqjHUPwD8pCsdfKoBfoBcC/PXy614tHaksgmpUyf8SLLF0GZceIwCCQnp2/KnMBz+bi2VKfiI6GrusZaST3Q+WDiMM4agvUebnCRhYl2IFhPL3DaliLUCWKm1TKsz9CvvGIdhhg71o61IE08ZNaais7EJaRgRayprhr5sRNok2DbPOzujrHEJAeADK5jrR1M8LjvRHZ2WzYh3hoROPMGqpaC3hGRaECnPHvB1GmI/VADYmIUjYvYbWIYyNTiIjKRBFbxQIW0PmkcOsQ5OjxZFd7zwLV3edaLNqj1TC3dMNmBnEI4eOwQmK1QajuT4Bj923Fm89xtKX0mlHUTdZJg9vD6vvE/NGGwqfkAC0zjnjq8dIyYtH+Xtm5Fy0GmOTM9C7u4nHGIdTH3+jaMGt4HVHRfujqcJ2MWA5kmCaIEcbLB9yBA7NS3n9BN4n3i6R8iX1YWQbOQD8ZKE+T9pOQO2PA3tdIj3Q2NlK37is/FgZuL1YxGbGo7WTY5VoOpoipWrzofnGkG/+9DJcevXCH8QnPVHHG2c8A2dzbVI/65LXrj5tBuulCx9cssj9C1/4grBdWpE7iRIaiGtZrTOezHP4gA6AdQ7fHMepKRmgGeQPdv631ergZHnRWjRQfMyFl51e9qHqd/i6T5A3wuND4RXgg+Ijir4nJSsaruxEm2v1T8k3KMN/50TK9qVA7sP3KDjmTEH6ehmy4sU5nvoqbXDRY7BsxkWbwUWai3VrbQfc3FzFaJWLvd7HC83lTVb7CjJPHr7e4tWUtM6Ikg4LkiIVu4Xppg7U1inmpznnmzA8NAb/AE/UlbWgq1hZXFliGu7jmCCIjYRlfFa8kwKCfVBT2iL7hoV5ics5dWx5OzKtcxTJusStSkV1VRd0eldk5seKJshT74zqI1UCMJO2ZsvgY3+nSTRXtMi8P/pMMVgCDY4NRuMcO7Thsg048MwhKd9WHKrCk+WAn68y/qitNQfXbdOLBoqgit2WBLItNW3oaVH0RBwDQzsIBkFJdUE9EvMSUaHp6Mw/PwOTUzMYnwaqiuZZKYIhzgyk4759pGRGirDcPrRzHdX3eM/JWLLzjl2DBFoUprNsyVmS6vxJ+2OREVWtRfzD/AS0qvpD7l9X3IDgqCAbk1QeI35NKppp7cBrNkVgenxiAUPG9zLOz0JFqe1sRu05/Pb1HyIpM2bBNTpeOHsZWAmAddGr15w2wHpl15+WDLBYCtywYYPIez772c+KBosC9wceeABXXHHF2UvuOfRJDoB1Dt0Mx6nYZoCsCzsNf/q5uxeI42XR9vUQcEQgNToyis767gVjaU6WU9VolCae1EVl78hByRGlY4wlsCSj4nfEjj+WzNiaT20LS50UsdMtXBGzT8kQYdURPG9nlmh8yJJxCDAdszmuhMdgV5qAg3VGDPZZMNDWIyxYSEwICt9RbCAYZN1c/HzFp4jjYNqKFaNJHpNlKScXF9SXtWI4PBQe9U3wiwiEd0KkMBYuQ4MoeadYvL1MWzOFUSt47bhV+E/AqZqyEoiRceFA7O7WXul8pPs4ZyoSeHY390rHptpIIMAvKAgBQd6oeP2IlBHZbED/K+p6WA4My09Fe8cQcjNCUX24Uu4P7yGvkwDSN8ALrjo3tNPuICpYyq8EOk+YAT+/MlSVrcf/foOaPH9xpWc3YPmRGskzGSKySNKROTUt41/Y8MDzJmAMig3ByOA43D1cxVl/cmwMngG+KD42zwqqOY5Li4JnhD/aixvQ29AlbCPP0T/QC3UFC0fiMFdsmmDTBYP6OALWpvJWeY2lygRTjNhi0LR0cnJarC+0wXI1nzcPXw8UvKncb3uwTt1UxqY00dapAFI9BvNd3zyEwFAfdJc3CHNKIMfB49pIOi9b0Z5pugfV97dfvhbfu/ejKTg+l/59XQmAdeErXz9tgPXaRQ8sGWAxvy+++KJorquqqpCQkAAK3h1dhOfSk3cGz+VsPsRn8LQ/8oeiseivrvo9Gs3NSMozSDmH4l7VJZudW/w7W90JFig6bzC3iBZnqUGrheEBizArFH6btpoEoDTVdsHH3xNNhfOjUajdUh3ctcdnl1yEIUxMUrnQs0uNgnT6X/Hv4tl1vG6BBUXWtkyUHqlDQKgPZmYg5ciB1i6krE5Gc22naNJa22jG6STAKm+tAQPd/ag8UCGLeXxmLFrrepCwPRsVzx9ExqUbUVGqlES9h3sRnhjOiTKoLW4S4KBzmhbgxHxRtE0gQR0XmRyVYWKZikyRlPrKmhGWECKdbmSQyMyww42djPQa8w32kdJnf0c/gqICxaiUf2gtQeG4i84NBa8pbvLsfmOOPHw8xGGen0PQp7rmq52Gn7kxBW/8rQaDvdPymdyeJVo2EbD0uliwAYEMIbVPBFkEgmSNCOiijRHCJDEyd+bKLEBaUqRvMqKzthNB0YEo7VFKqilJofDSuaDmpYPA1LRYfviH+ImFCC0Q+GylrEvF9NSU3AMyfbTp0Brj8ji8XwRdBOy8LpajyYJKWdpLL0PE+bzynpCBo3nrYtdGRpOAXs0Rjy0zKXMT4ObjhaaiOmuzBHPMgc7qKCmeQ/7nt6LlWCV8ArylOUEA8uwsLvr6Tuz83DqHU/tS/5H4ALc7m2uT+lk7X/7GaQOsNy7+42kBrA8wZf+Wh3YwWP+Wt+3Df9LXrbrFahjKTjqWxVg+IaNE5oqLLxcVLq40oeUizl/sXLzNmuHLJ8sUS2BkRThyhGUzQ3a8lGRMW0wYHZtEW3kTLAMWAV/qcObFjsVuRRGBT82I1igsIdQ6FJrnKQyLs5OAKNXwlKNXyo7ZmlzSW4qDeNXI2Z6FpvouuAf5Qe/qjLpDFchYnYCB9l70dg7AePEaOM/M4shjexCxKRudbQOyK3VGyQkBKH67WABcZFwQwNl1TrNoKGsRgTUZoIaSJsSmR1u7Ickk5W7PRFdzj4wToos8WTAOw1b9t9y99eKDxSCDQ6aLYIh6Knpxcb/MLelKWXaWs/Wckb3NhGOvF8p9Coz0h4uzC9rqOsQugmAoNCZIdFrUfBGwSEfc9ixUF9aJhol2F7S4YAcj9VaDvcPSYcp7R/F3fXEDOudsEsgQ0Rlf3PDnRhqp+cy6IA9Do1OomwQ83N0wQ5H+xLzZLAGa0WUSHdVt6GubH7ZsXJsCTz8vFL6riNWj4wPRWKZ0LmoNRhd7NgjCCODJ8NFSQhts7uBA7cWC+SYA5nQCjjoiGKs+UW8z8ke7H6+Xzy7vR2RKBK7/43X4853PoauwWqw1GNfe/WV86oZdH/5/OP5NrnAlANaOl78BV/64WmJMjYzjTQfAWmK2Ft/MAbCWlT7Hzh9EBigyvtp0s7Ucw89gCYYeQRSX03dJBVFcVNk1pXZract1Jzs3lmH4y9/Z1Vl+zXO+W3CU4tlEFkYNAisyZQRjLFfOTnMkL2A+UAFXPVmIRNHrUEvFUg+dwckWsORG5ob+SGrbPRdNjs1hBMSEYbBPWfhonBqcEIauxi60VSgsFCMmI1aGLXO/ksJmZKSFYnZ8Ag0lDQhMS5ASECOW7EugD8yF811iHl46JBnD0WeuE+8rhrAma5KsujJeNzVWBCxkVwisWGoiICAwUGc2UsvmG+gjxpd8j15bqq6NXaDD/RaMDo0qg6pjgwT0cHgx500SYLnp3DAyMCIMIPfnbD11f4IU1WiWWiRaXVAfx/34h6CZZTneh66mbvGQYicdbS8YPH9q42jCyeB2BH60KFD8pubzSSbHuNmEIS8v1LYsNJlNC/OE+VnbVnKCPp2fj80oHYJmQ3okit8pttppvN93gN2jWnsQddvFhnVb39uUKvmkOJ0s4mJCebJs7IxVQwV8P378O2jtHcMj976J5IRAlL+hCOEfKv6VeLI54tzIwEoArPNf+uZpA6y3L7nfwWAt45FxAKxlJM+x65nLABeTlup2DPcP4x93v4TG8ha0VLZKiYiLLdvayw9XidhZFZ+T2eIfllLIaFC7xH3YaUbmaCmRdX4mujqGMNDUYV1IecyQmGABVdUFdUhdnSQAjosYmQKCgZ7WXis7QL+r8bEJm3lwBGbsWKNRKc9XLXXxWtwD/UUcnb4xFd0TQGfPCHx8PRAb5gX0DaCnpQeBcWEwFzTCN9ALY85u8PVzR5iPG6DXobRovsuNHlcenjrEpESgorxTRt+w9Flf0Y6M9FCMNHdKGY355czDMcuElPOoL2MpkLP2hvtHrCaW9GOi1otaIQJLDsvuax+wzuwjE0XdD0fxkNmZnpyyKWWtvjgfR15WZtuRFSMgIygmy5eYl4SunmFM9vRLuTchM046FVk64zkwJ2wo0HvqxQZDKbUFCqjK35klII2dn4z3azgg8BsfHYfeXS+MmMo0sWTrkZWMoooOREcHyFigocExKS+G+Lqj89VD1keGY4n8IoJQU7RQv8WN0lclCCjmn8XMbrkN7zV/DNhbNfDHQlxG9KLAi/uR3Ys3RcszrM4cVE9szcW5uPbur4g+7Wef/7WM/PnEdRfi6OuFwjbe9d6deOTeN3DonXKkJwaiuaAGay7Owfce+MZSvg6Obc5SBlYCYG198drTBli7P/YHB8BaxjPhAFjLSJ5j1+VlgIvfk3c9j8pjNfKLnRqd3PM5JqQEUUkRGOobEnaJiz31P+Nj46gpqBfQ4h3gBZ1eJyDGMmSBt5+XtNeTUSHYIrvBchEXZGpd7IOWDfHZCagxt8t4m8AQH5mz197Uh+TsGBS9flwWcRqKEnAERgZYu7pEmB4dJMyZm7urlAdZntSWjAiwCBrIZnGBJYNEHRO9iTJ35gD+fjhR0GRdnClmn6yoQ2ikvzBdZChcAgIw2G+BaZNRHLgxPoFJbx9UFitsFUFXoNuMlI8SViWjywKMzflwsUsxPshNBlh7+XkgOjkSFUcV8TbzR88ltSNPZf34mXSZV3VBWtNLtUOTIIUjfAg+yaBoRdpZ27NQVdiEhIwoVB5QQC/LjBnrFbuJmLRo1LcMQ+/uKp2IlpEJGBICxErBtJmjacYFjLEsxpxSb0ZQyCHJZNwInDjXkTqxuqJGq/s9S5sU6xMokfEjUFNnOPJ6ad3R3dQD3vMpLw/4p8Sg6LG9iF+bgqmJSRn67Z6ZgOan91qtQITl3GyCec43bbEn3cNbj9nRMSkjq0GWjqwqNWTmg5UClgjYWSaenZ6R+00AuZjZqHoMMnEsW/PHhNo8wRLz1T//Ii79llLm+8knfoGUPAM+eeNFohf7zbUPIMEUi+ffqUZzQw+M6ZHoa+lDzloDbrr9UwJ2HXHuZMABsM6de/FBnokDYH2Q2XUc+30zwPLQ9at/KL/G1SAQCY4OEi0VxewEChRZU28leqdgX2FjVMNQdT8OWaaOir/6e9r6RLPFIBhiqYndbhT9shOwp60X9cXzbfumbZkwF8z/PSU3DuW7C5G2XinrUbfEbri+zgEpY+XtzMTo4BiaKlut5SkurNxOHavCBTp7qwksKlI3RjbDw0uPaU8PlDYqfkp0M6+r7BA7gvS0cBQ/8Y5cL4EbGZ6cHVkYn5rF1LAFVUdrRBdFXY5xi0m0VrVHqiRXdSXKuYety0R3u8LwcOSNIT4Qg80dGOufn1PI98haMb9kUljWpB8T2SoOmibIIWs00D0I06Z0AQQTo2NizNpc0QrvQG8BK9LBFhUoZbKu5m7x2OruHLGWrcKjfOHu7iYlQ9pYkcVjTvJ25aPoRBNmpmfl785DA1ZtEfVwVruC9QQ/U+jrGsTM1LTkleVDHk+duchrYUmQ4nV2G44MjAqoEeYsM9aq4eN27AJkOZfgi00GJXPGo+rz4xPoCTdnWBsp+HrW9myUHFAMShcL0xoDinbbzhykJo3M4GJB5k8dd8OcN5lbhG3kdRKoskNVbD7c3YRBZTly1QXZ+Oz3LxWg6uHlftJz4Y+VO3/0D+x907Zz8YYfXIyPX7ba8S/ROZaBlQBYW1647rQZrL0f/72DwVrGs+MAWMtInmPX5WfglYfewt3X3G9zIJUVCTeEigZFLQupG2k9kPgaF2qWoug7ZS8mXuwMFxMoGzeko7pM0exw4TTvLQb1RyzRcLFWtVnZ2zKkO83+nMioscuLrBVF5BNjU1Lu1LvrlEVfp/hbUdDd5R1oPa2MnFjUV3cgIcoXhU/tldfJHFFXxHIk9V3i6P5eOeIzYuQ8WMbrauwW8ENtEc+v/HANVl2yCrMuzuhq7oV3kC+6GzqhI3ExNSkAheCTQIk2AhSRU8tkXJOIisM1whBRe8VOQrJ19HZycnGVQcPVR6vBUUEshfI6KVpXg4Aw5/xMYZl0vj6i6WIY8+NRtkcBHwRjyfmJwuC11XYiOjsBXW2DGBwYRWSIOxpLGgUAUbtFF3WxzdiWIWCE2jDOgVTF9ewQpJaMui/mgqCTDCHnB9LCgXolWhxwfx6P7BJd44vfLbfaFkQmRWCwf1RAu3GVQTojaa0hwv1R5Xmj9YdvRBC6W+cF77wWzsKkb1hHfQeodSObp4JC5pZsq733meRjdRKqjtUsKCcSDPKz+NwwyCZyvFLJvnJ8/NoLcePvTu24ToD+399/Agc1cxfV+/PHx69FfGLo8r+ojiOc0QysBMDa9Pz1pw2w3v3E7xwAaxl33gGwlpE8x67LzwDLg2Sx1CBYYls7BywzyFqwzMLFlGxUYk4C9B5uImBWLRK4cLNrjCCALIsaZHdYWuGCx7ILdVw+/t4YGVTm/ZEZEU8oDw80zI154b6JmTGo3FcswIC6Li7AXAjZOs/9eDx1lAwtFTgmhwwZP4PnwXIngYurq6uUDblolrxrFgsD+kpx8HFJ07C1Xd6UF4dJyxjKntyNqORwhMWG4PhbxaANAYEEnMlIeaL8kGKsyVBH6xAUcSQLrSIo7s7aakKJxrWbZTNDWoQIzFluytyUiqK9ZrETYLmP/08GhVYXbBwgs8VuvShjNOpLmxGREIrWSsWENGW1AZVHam0sMwR0zNk3ZO/IRsnBuTIkNUaH5k1eQxNC0dXYI/eTnYNkLTleZ8IyJkCH1gRHXi6QMl/+hTk4+qrSrch7L477m9MEfGnd1AmI4jNiMTs7g4K3FDBHdo4MIFkkLQjm2BmyQwyymLSzIoOnMo4sO4ZE+cv7fqH+6O8dQbPd/MGopDAMtHZbZxlyW7JMLAPTHHRkcNTGyV+9V2KV4a6zgqhTfWsIIm+6/+u46KrzT7WpsJ+PPbQXf39wzwLRfWxCMP705PWnPIZjg7OfgZUAWBufu+G0AdZ7l97nAFjLeDwcAGsZyXPsuvwMvPfsYdz+6btsDkRhMMtxFDerIborf68FrfF8jUJp6q0YdMimJossEsEDNTyqBxPf1+qKCKDoJD7prEO9uVW0Qyw3BUf4o+g1RaidfV66lL3U+XQEeSyj0fCT50eWi6xMa3W7lHnYfUdD0XhTrJh3Ojs5ITE3HpNjU+hs6pbteIz4rdmoalK6wOjEbsqIxHRXDyw9g2gpb0HaumRhlsYsFGEroLPRrIjb1XEqi3WisUwZnR4npbS2hm4BL/Tn6q5pEaG5GH+6uQgIpN2Aog1Tuv4IrrhfdGq0jNEh2CVLlrnRiNJ3yxAcQ1NL+nUlYnpiGjWFSmmX5qoc8RORGIGJqVnUl7Ug0RSF8v3zACt5VaLitp4dh2qNrxWZJwrleW28x2QMea3MrWrqqT4DBEEc2yNGrl568fViECgl5ycICOcoId4vAjayfKpbPoGrk4szdB56BEaFoLOhU66VLvLpG43o7RhAZ5PihL9YEGCnrjKg6K159k67XcamVLRUti1gNuWZW4Klg/ZY1JH9Zt9PT+lXRTPT6664H41z7u725/2N71yIT39h3fK/pI4jnPEMrATAWv/ct04bYB249LcOgLWMu+8AWMtInmPX5WfgtYffEVNR0+ZU6VbjoqqWWAiGWMai4SiNMqnRYdu+fZB9oRhdG6o4mgJjMkwl7ykWCQoLFi/z7MgqESylbc7AzPS0CMLVoCEny2PH3ygWkTKBCctPLFmx043AhZ1qqhUAhdSjI+MYn3ZCZFygzAckI8NQS54UkRMssWwVFB2EEGMsShoH4RfghagIX+idptFyqFxMKimELnynFOmb0tDTN4re6mYbsT4X7YnxSVQcnme1+Fk8j7qqLpuxQoFhvuiqnu881IJMLQBgqU/voZProE6NTNrU1AzcPNww0j0oQJU6Ido2EJBRCxWVHCmeZLxGljQJWulUX/h2sbBvPE8GmRZ2d9LqormqFb1zpTct+ND+P2002MFJLyz7SN2cgaqCBqRm0wR1/p5R/0THfNVvjPd5qGfI6pOVvi0LFcdt/cdijRHCiFLTZhkYRU2R7fv87PiMaDFUPfLswfd94MkIjg6PC+OpBp8dlq5VI9D3OwBzx3v/4yduRvq6lPf9LDZ3PHDn83jjnUppzrCP8Eh//Omp66HTuS7/S+o4whnPwEoArLXP3njaAOvQJ+91AKxl3H0HwFpG8hy7Lj8DJ94pwSN3PClicnWEiz0AWHVhjtgicNYftUERCWFiLsrRLARMdGU/8Y4i7mV5hVoYLq7UQLXWdCKebuRzHlQCKLakCWPCrjLV7XuxK0lekwSn6RkRgpP94QJOjZeqxyKrQdDBshWBU/rmdJT9CByzAAAgAElEQVQXNMK0LhHTo0rpiyyLChxYeqPTOzvKMjakorG8GRE5SWgvb0Z7edNcGazRav9gPC8LNXO6sOSkIPHfYnAhph6LgG2of0RAERsBCErqqrvEcFIb0Snh8NI7C1jh8ObedlsfKFoGsExIxqqpok06JCOSo2RO4YndZtEpDXT0CjtDMHv0tUIRxvMz1eDomZGhURmvwxDhvJurWAcwKCwfH5tExYFyYQ35HnPD/EUnR4hFR3hCiAi5qTfjs8D7xOOxTDg7o+izfEP8MDYJsZrw8vWAn4/OZjgzS5+8TywbS2OBt4d0PDInTnodKk7MNzPY33OyV6l58dLIwGeDujkOpi450Sz+Z/GGIEz3D0ozAHMfnhC2YJyNthQpz9oS2Svm/pa/fgvbr9hsPS02a5CJVedXqm+Q3f35F+/B8TeLERATDPesFHS0D9pczvduuxQ7P5az/C+o4wgfSAZWAmCteeam0wZYhz91jwNgLeMJcACsZSTPseu/ngEuZlww77ziHjGiDAwPsGFjVl2YLWCGWh2Wy1Q/IHV2oPrJZAgiE8MFgFHwzZKXMsdNKR+xZOjsDCuDxddURkllueyvIiAqCLHrMzDZ0Y2yfQpjRkaLFgKp65KtTu0qkCDQoM1AQ02PsFMBob5SkmOs3pUjQIvsFzsDqYViyVAFNBQdCVO1PkVMM/k6I2WLCZ7B/rD0W1Bb3AhvH3fERCkMWG1xg7V7UT33xLVGNJhbrTqcjLWJ8hY1TWODFri6OonvErvotEGQyNE3FJSreSGwCE+Kgpe3DtVFzchYn4z2mlYBWAQqmeelCzOkNWUl26e6hqs5JgAmU8Uh1W3tI9I8UPDqMRGpk3lTHdcJQtrrO8WegTopNdfUN9F6oL6sWcYgCRvm4oKyo/NdpwRRkdF+4qV1qqD5KM/DHrDY75eYGY2aEwqTxXJqfH4yas0KK5WRGyOzIWlMy2ujGzuvg4Cd946An+BRFa0vBWBt/+JmXPOLL4nGT409T+4Xnyt6XF39iy+KbxlLoXz9dzf9WcT1asTmJ8E3OgTOnu4YnQZqarrwtxe/g5Aw31OlxPH+CmVgJQDWqn9++7QB1tFP/8YBsJbxjDgA1jKS59j1X8/Avn8ewn9f9ivrAaTdfnBUymBkD8hEUYCcf0GWMB3axVv7qRzaTHaB40jU0Bo8UpNEB+vKo/Pz7DLYefZe+YI5d57+XojfloeJ8Sm0vFeI4IgAYYdYqqLWix5M1CmZNpEBa5bSIUuafJ8LKfXy1aWtyNicJmBhoLEdnl7uosnieXS39IlzORdiRe/kIYJsghZuozJlUTmJqGkekYHGREwmUwSaShoxUN8q+5LZIbhRHcx53aHGGPS0KsyUtPmHeIrGShv2g4XZBECGhIwWbS2075Nlyz4/SzrvqFfi+ak5VvOnPTYF+Sxb8TN576hRU1i1ZLi661FW0CTAbMQyIWWrtsJq9Lb0iPUGbSHIdHF8DAdj81lgByDBIQFhX9cQupu65eOyd+ag5IBtWZTbZa5LROm+sgWlODYpBEYFo6NzWBmpFBN0UusF3uvQmECERQVgdNAiLBjBppObK+rq+oTBqt5vxki/0inJe0yjT4J5NXe8z3wmVKNbNmKoTREE2yxlq6wej0GA+1THQ/J8Mfij4/WH38Fzv3vVei3iTxYXIsCQ3wUK+VU9nv03MP2SNRh0c8dDT98gjKQjzs0MOADWuXlfzvRZOQDWmc6o43jvmwF6WN1z7Z/w1t/2imWBNmgYSQDBxZwaJAqnk3INYBlxsWDXHkfNEGhQ2GzfHq/aK+TtyMLxN4ush1j1idXobe7BhGUcfkE+0If4Y3jaRWwDujsGkW6KQNE/9lm317qGs7sxxhSPxtpuuE2PISZVKa9xIeY8vhBjHI4cUhiW+DB3WZAFAMUGy7gXaqiztigdcQSCvsG+Io425MSh6mgt4kyxaJnU2Vyup6cOhvgAzIyNo6+uVXRfXJDFkLJ/RMpmlcUKY8bFmBqwigMVC/RLXMxZRmRnI7sge9r70NfWL12B9F1i2Y2gQTzD/L0WDLhWfci05VYR7GfEyPXwmHTV17I2hlwDmhv7pIuOY2NK5vzGaO+QZopE2VsFMJ2XIZqx5rJGq0+UmgACN5ZWybBR88Wc0X2/ubbbasmRxNwdr0PGGgOKd5co5dzsBLS1DKCvWwFDapjOS8fU2CScJifF+NPDyw2DXQPyPNCVXWXXbPbZlArL2CS8PHQi+qfWjEag/H/aVrCk6h3gjeqCWgHLkuO988wnS8j3Hfpf8XAjc/vZ8KulvM2gZu63B+5Eg7kZf/jOwzYWGIs98xT6k8milYU2CIgJlmM3mrD1s+tx8Wcc3lfn8j/FKwGw8v/xndNmsI595tcOBmsZD5IDYC0jeY5dTy8Dnc3d+MWXfruoUJ3eTmRLWEZTI297JorfNUtHHt3UGRRcT45Oii2BOuONiy41OhTCB0cFid6KpZ3cXbkYnZrBiLu7DPedmJ7F4Ngkhsam4ebmAlNCEAoffA05n1iHkgqFIWGQKUiM9ET520rHmHbYMxmRti5lFl6SKQq1x6oFYJF1G/Xxl6HEFMzHJYWh41gZhnqGRajO0Olc0N3YLcwVmQyKvlPXpghTU7LPLMwHWQenJIO1jMUFOSMxAF2VzfBJjEL78Uph1TjnUAVM0OlRdlgpiQYFeWB8eFQGOasjhbR3icDML9QH/Z1DSMiMEb8ldgVWHqkRB3KKudl9t9gg4rwLctArJq3z42O05VsaipIt5JxF/1B/9Lb0wrAqCSWHakW8zbwOjJHBmx+yzFKmuaABhhgflM/5ZqnnS0DGzyL4UgdOq6alAk42pIpXF7V5HY09iEwIQXCYDzq6R9E1N/xae+0E7bPeXsJQ6vQuGG9sR0xSGOoL5hkxdjCy01MNMqQExyzfqsH8k5nyC/WVbkd6h8nzMDd3kCCNpW0yTRd9bTvO/8ImuXaWufc8tR9v/32fXBNfY9nSL8QH5gNVC7om7b9dLIHzBwE1hswDgx5a3S09olUjc+iREI3fPP9duS5HnLsZWAmAlff0zXA5jWHP0yPjOH7Z3Q6AtYzHyAGwlpE8x65LzwCHH9983n+JVxAXJ/4C58KkdvURiHD+oDYoVGcr/ez0tLAFNLEku0W9FhkQVZclo1UmlW0YXCT9VhlR2mor/OV7CbGB0HX2om5PCYz5BgFjsekxGPELxECvYvbI4Hw/184O9LXYls4I5vJ35YnDOmZmULKnVBighPxEVNUPyKgaU1YkzPvK4IxZDPdZhLWg91NEbCCaSpuk3ENHdpbgig9UyULr56eXbjN2SoatzQAmJuE0Owsvdxccffag+FbNRkchPcEfnTWt8nfmjpYFrt5eaKrqgF+QNzoqm0SDxsYALrxkW9TmAV4X3fGpbSMopCcVRxJRVK6+R9BG24nFIm2DES6urijZW6rM2VuXLKOJtPon45ZM1BYrI4AoQuf9ZqSvTUTZoRp4hgdidETRgXn66OHu7YHezkFkZEWh8AXbLj0yQbSC4PUwWIajDkz1SONrGZvTYT5WD2NeHJrLFJ8sw9pUTMMZXj56DPZZ0N6ouPqb6EemGYod6j6LjoZuZK0zoOANBUzbN1iwXKm6r2tzQuH96PCozcxL3hMCMjJol96wSzoBOXqIrC1H2xTvK7PZnsCNPyjs7Sjsc88xRbQPGegakNFRJ4vk1Umo6xjDC1W/cozGWfo/TSuy5UoArFwCrLkfqku56GnLOAocAGspqTrpNg6Ataz0OXZeagZ+e8ODeP73r1k3J0AiK0GWhawH7Q+4mFHEzkWcM+LoWaSWWtQd1e41lsJYFmTQB0u78CTvzEHlhJON8SJ1Pykx/mjfXYjeOX+tpJx4mePHhds50B+Tzq6oMs+zFylpESh7dp9VX0MgFBDuh5DoYHHlztqRg672QbQ19QgrRQYhIDwAHh6uqDxUjezNRhTtKxdfLYIiLpQUu8dlxIi+hmWuob4RKcu5YhpOcJJSIRkeam0IgrgIc8QPGbuojFhUvmeWMhTF9BTG01CTJTSCPAIpAioyeSxFsqTGch1LfiwtOTk7CxN4bA5MMHf5X9mB8f5hOPUOiIcXjVntuwzV3GedlyGqeZn96O+N/pEpWFo7xRpBDeP6VFSXKSax2ohLjURDeSvSN6XCrAE5meuS0NPRj1B/PUr3FIs2bWxYYQjzL8gWhog+YSyvsRTMkhzLkAwCdY8AX9FW9TQoPmhkO4fp8l5QJ39n6TZjW5aUC6PSolGsGYkUHROAYE9nHH3piNwbaqnoKM/PJBAlaCeQZPkzNjVKfhSo4M4eiKnX+rFv7MRnvvMxMV9l8EfD/TcrpT+eC8t4BF0EVXpvPY69trivFr8bBK47v3weLIMW6dw82X1RPzvzgjyYyzvx8L6fICxmflrAUr+jju3OXgZWAmBlP/3d0wZYhZf9PweDtYzHwgGwlpE8x65LywD1T7/62u+lrKUNGduSEQOyWwNdQ6IZ4nic9tpOa4cZwQ9BkLroasfkxKRGWn2oWPpSO7cyLtuI4k6LzWdFD/aj9YSy6DJY0uPIGHbosXTEBZTnmf3JDSg1zzM4Efop+Pt5SDlPFcarC3zS6mQBVo11PRjqn/u82VkEh/nJYhga6inDnTmqBXMMnG+gNyzDoxgkW+bsItYGSaYYuLpyIW+UsSurduUKUAqODJRZhhSXU/xPSwO+TmE1TUsJOHyCvEXzMzo4Ktoqng9zRNaEOaM2icCVTBP9u3juzBUBrmdEIKaS48Q2YmRPAUa6BmVbskD2Vg9qzsbHZwQckpVLWpeK9rZ+6CzD1tKuO41OjdHCNHZ0jAiQoNcUO0V72hVbDXYJFh9vVKwtsmlqWi2lUQLlqPhgFL56VO4Ry8Zq+U29bxTwE8iS3WRXJ0Xwqqu92pWovfHpG1Ph6umO8uJWpG1OR2nBfHmT2yUGu6LiYKXkgz5gRXtKF1w7ndpri+oFtObszMZI75CwjaoLvPp5LIN+/y/XS8OA+VA1vn3/1wUY87n/Wvq3F3xZVI+sC7+yTVhXuvfzPK68/XPyd5Yiea2M+7/7V/zj1y+e9AtHIBiaa0R35xC+/5sv4vxP5p90W86ZpICfTLAjViYDKwGwsp763mkDrKLLf+UAWMt4RBwAaxnJc+z6/hkgy/L4z5/Bs799RQTtqgWBuhdLTNSSUH9CQTpHmKhz7lhu4fY0jSTD1TQ3Aoevs2TEhVVrMKqOrpFFc6sJHV4+CAn0Qn0zO/dmEFDdgIHWXsXNPCkc48NjaKlsFQBA5of6I7rBCwu1xoT+HqVcGBDsDaemZukgHOm3yMKuDqemCzkF6jxP35hQ9PWOCFtFgDXePyTWAiwltde1Iy4jVoTRHHeTvc2E4oM1SMlLQF1BjbBUXCDJWLALjeCGoIHMEIX7ZEOCogLEzkENggGWqLiY0wRVKzxXz5FgJHVNsgA6zkQk+BkfGRebh9i0aPGFqtN7Y3R0AlGR/uh56YDkxb7bUP1MgiA3Lw8rACFA6B8DDMnBKHlTGW3DUJsLkjaki+/XWP8gJkbGMDJJ9kthp1JWJWB4ZAq+vu6oODYPfFmiNGbHoPC1YwvKddyP+THmJ2JsdBwuLi5y3RwjxHtx9DXlHAjcqGuLSAxHe9uQgGPe57QtJlTVKO72DIJa1442azemvbcXt6F5KD262OHq4e8Fj4+vRejEBCqefM/G9Z2g9Y8n7pJniGBoy2Xr5R4+9f+el/tqr2mjrUV4fBhuuO9rpzQV5Xn85psP4KUH3pDzpraL56PqFTPPz0TX4BR6uoYEBK7Zno47HrrmpF9O2jzQFuOnz82PqHL8W3Z2M7ASAMv05PdPG2CVfPYuB8BaxqPhAFjLSJ5j1/fPAH+RP/HLZzE5PYOxAYswDuoCyAWx5gSduqcEQLHUxaBJJMtUZK04w4/z81QrAfXT1PIMy2IEPnR752ssLxFwcDHtnGPLIrPiEZQZj5n+Qcz4uuP47AyynV1Q+dh7shCTiYk3xUhpkgwadV3Zn9mM0pI2RMcFoetIKUb6hq2zB3kOopOKCxGrBgIyMj5J61NBm4eqo3UwZkWJvUJdSaNocshE0Ryyr6NfPLuc3dxEFzTY1itu8OyUYymJI4LIPHGmYLiBs/Pmy5XZWzNkpAzzwlITWSy62hPMcB6ij7+nsFQErCyX2vtC0UxUNVVNXZMow6FT1iRjUqfDTFw4PHWu0HX1ovl4tYBC+nXxWMyl1lBU7+NpBVgEXOGZCTI4WWcZsi74vIfDAxZMueoRmxSC4reUDk465lcWKfeZMxFLDlYjc32y6NC0kZYfj+LXj1nv/8meMpZG2e1Iny1q9Y6/oXwObSRam/ulhGzveWXano3SUqWEmZgQgIo3lJFIck5b0hY0BqjPoJz/N3ahsEFhYbN8dah4ar8VZBFs7vjiFul4JSPIMqM9Y6t+DsH0db/5Ki74ylYxVj1V7H36AF74w2tipssS5q1/uxH3fevPsIyMo98yg5aWfqSmhUtXpHpt975wM5IzYxY99LfW3So/Eq79zVflmf/0TZec6hQc75/hDKwEwMp44vQBVunnHABrObfeAbCWkz3Hvu+bAYKXB547gOMHKuC5v0bMPnUeOqSuTkTp/kopUzDY/k+9kDoGTu3G4rbUDFH7otVcEbBwzp8skrnxskjRF4o2A/ZhWJOE+uRQDHK671y4zgL5Xp6oeOowTOuScOKNEzJkmeyKcV0KxvWeGO8bhLubM46/pJSrCGjoU8Vg1131sVoRcq+5OBc9bf0IjAlFV20rvIP8MDEyir7OQWHf6FpeJT5ew1DtIrK2ZqCuqAHJqwyYGp+SsiBZNjJWzAXdx80HbUf/qGwdQaWM2okIkDIkARk9l1btypGSYPlhpauRQSBGGwCyOWpHIVv8CdaoyxoYHEdnY4/4iLEpLSw2SBzoOxuUrjgGZ/qFxgTLsdmJ6eXnhe62fmFqeC49o7MCYnLXJqC/rRfutDKYnIRnoA+O761E+hoDxvsGYBkcQ2RajMwq5PidimMsuc2CY3wGeoZthPj83NS8OOhdZnHs1QK595y7F50cjpGBUcWPbHpGQBWtL9R5g9Rfif/YIEf9DJz02UzbmYvy4hakJgWi5NWj4r/FsUPcXwVp3JnXRaDJz4vINaApItjaSMH3CbLKn3zP+jkqi0oPMO1gbu2JUOvFMmJcugJ+eGxaWJQfq5M8dLUqjGv6KgOMuXHWEiHvF+8h7zPnLdJPrfhANR6981kpIVMbxhIly9H8ocEfKffu/okwiPbBMUe7H9+Pe6/7k/jM3f7PW973e+x488xnwAGwznxOz8UjOgDWuXhXPgTnNDU9gzv+/BpeOWiGK4cqH21GsI8nqk/UCeNk76KuLUuRAVEZLdVTSWUXqJ2amZ6VRYZ6rdrCBjH8VMGPNnV0Vx/nyBRDKI5Nz3tuxXvo4V/WLt1uXESzNiRidGAE1ScahCWi91bV8Vop2wVHByLSECZsiGoGOW4Zh95LLwwTAQsXuJTVSSh8pwQUghN4saWex6JAmQCQYMvLz0PGm9A3iqUuMk7NFS0iPidTREBJDdVA54CNQF+9JhpVshmAYnQR5js7C8PHoBcT32Oe1POiMLziSLX1PW6nNQnN2p5lY9pJfZghLUJ0SARpLI81mFvg4aUX1o6fy6ANwahFcadP3ZCG0qIWpOfHo3T3vF9ZSHQgejqHEJsQiJpjioVEysYM1JbPs3LqdRGElR2et0Hg66HRgXCbHsdg96B0SvJ6tQad9l+RzK0mlB6pO6VLO/eLSo2CS6C/APdglwnrBAGWatkMwOui5o0MHYEty5AJX9+F8jn2SvvZ2T46mJ96T0AamUOC37T1yVL2Xix2XXW+dFfy+GQuT+w1o7KiCx12+kTuGxThD79AL3z+pl3Y/PG8BYdjV+1VubdatYf2G/z6zf9E2mrF0X+xoO/WwReP4q63bxcQ7Yizl4GVAFjpj99y2iXCss//0lEiXMZj4QBYy0ieY9fFMzA4MoZv3/ssiqrnh97mhgai/hcvWXfg4sJOOTVY7qHWiKULCqHJbpCZUVkBlsEsAxYRPrM8R7E2GTCWF/kau6zUCI0Llm36e4fhmR2HY1OTyswYsmV6N+DVIpk3Z9yQhp72AYx09SHGGGF1eyeo40JJsDM+OinDgBfzlBLQsCpROgqzP7YWAw3t8AkLQFunBWPdfYgxhKC1QunyY+cYr0d7zQR3SbnxIkRnEEQQKLJrkIs9Rets9Z+amhLd0EDPEHwDvAV8skGAf8h6aY09VaaL4IDid/OhKmFBWApSR9Bo71pCfjIoeo5KCEVjaYOARW430jciLKGqV+JnEGgQCNIQlp117OgLN8aINQU/Y7itB329FvR3D4sn1UjvACLiQgRcUgfmGxmKWvPCDkPT+qQF7uyBPi7orJ9vNtBq3+yfOgLhhNxEtNbP66tO9d1MXpsCnfMMit6Y145pn0U+d2pp1LgjG8Wutuav2uNn+LnDu3cQfV0D8ArzF+ZwyskZTjPTGKjtQLO5xVpKVAX52v2zL16N0mMLh0yr22y8JAc/fvAadLX0ISjCz8pK7X3mCI6+WYy2+i4Uvzs/F1Ld72t3XI7Lv33RSVNBcP69bbfjR4/dhK2f23iqlDneP4MZWAmAlfZ/PzhtgGX+j184ANYy7rsDYC0jeY5dF2bAXN+B//3bmyirU9rm1XBxdkJyUTs6jszpsJydBJxwJp0a2sWH7EltUaOAKDJI/mH0HRqzzr9jByFLK6rgPHNLOioOVwm7QnDkbIpB6eSUMm5lrva43t0bI429cB0eQk9LD6KSwuHk4oLpiUkBE+xetJ7L3DBj08ZU8YkigFBLmuo2ZK88fdyF3cr5+DprZxzF5ZNdPVKqiUkOExaCnlZkhQiaGGS4WOqkXodlLinzXZgt10jwKCNmdK6iWyOrQv8nXgZF4GpJjICM/19+aJ4tURkqvac7jPSpctJBNzWOkY4+6UDUBrvuOuu7EGWMtLkP3IalLAI/1aOJjCNH4bBky/Kg6iTO0imF+DxvRtZWE8heTlrGrJo79XjuQQHCMrE7jqBI3SeQXZcdtiU9H90M+tr6rKfLXJBBZB7sg0CTTGFwdDB6ekeXxGKFxIUiLMwLhW8Xn/RrrLKmyRfno3RmYaltqd9/nbMTQj118HcBXNt6ULZXeQbUiEqNRkhCuPXvNZWd1tzwRYLlq37ySTx57+tS0v7Jn79us//upw/i2fvfFAZWfTa4wZZPr8GP/vLN9z1Nsp5kPx1xdjOwEgDL+NgPTxtgVXzh5w6AtYxHwwGwlpE8x67zGaCg+63dxXi8qhH9w4q5pH2snnZB9SPvClgiuCBwUAEHt9UyMVyAV12QLUaVZIhUJoXbsYuKZphkZbRBDQpHvrC7KmJrOroPViEyPQYWXw+UzEzB0DqKlqoOxCQEobusTjrp6LFEoEZbAYI9LlBZ56Vb3eYpsCcQkQ7AObd0AithhPISrOxTxsVrUTEn4Pb288RYe5d0O7J01F7RJECFQnqeO/+fQIEaKjJtfJ1aKtU4lddEoEggQrE6c0Bn+pS1RkxMTIu+xtJDNiNIzCtZbmKwW860Mw+jU0B/7wi62xUwQl1UoOsEGudKfHyNn0mQR70VdUvJeQZxl1eD+RfN2BuFUvJUmbHMbSaU7C61MjLaTk7uS9f7tpp2G61S6pYMdFS3Ie38bAxzpJG5SfRYBFumtQZ0tvSjs7kX6XmxqDxghnGTCVMWC0rnyp/qOVF8bw+wxLIhN16c6BkBceHva8apfV7S8mJRYvcZ2vf5HJTtr0BodgL6DBEYGFRA5HLCNDSEyjlj15MdJ+ui1Sg7vjijxftyy+++gvMunbdhuO/mR/Hig28jMNwPYbHBMs9xYmxC5nf+pfAXyzldx74fUAZWAmCl/P30AVblFQ6AtZxHwAGwlpO9j/i+LOO99fd9ePruF4RZImMT9rUtME8rztv2YTzWAvfJGXQ1d4sOy35xzt+ZjYnxCdFVUbC+WFcX/YHaajpsWuTZqcfXVYDAv8tYEf7XyxPADKY93NHWNIBgfx30OhdhuWqPViN9o1HGxVBjlEBPrqYeAX4ENAQeYthZ2SrAgVYTZKfYIUbdF4ENgZarlyfqW2wdtjOzI9FQUAMyScGRfsIyUTMlpaf98+Uclr4IpHi+bL2vPFItOikyRPxD13WO02lq6LUCKeqdincrzAtH95CZStuaiVkPT1SXzZdltfkPDPWF5/QY6o8rQMQ+9yzLhsWHWrsPVbDL6yYI5cxCdgZmfmwNBlz10Lm5wtPNCa5Os6h+6wQmRydExyYO7+tTAHd3TPr6CiBsaeoVwJWWFo6Sp/bK5+ddlCe5o24r0hiFwNgQFL0639FHMBWZFIay/QroY97JeBKUqt2VZPOYPxqEqtv4RYegt32hg/9izyO1UEFBnqgrbpDyLHPNY7I0zHtF4TufA1e9G5piwtBlN9fwX/n6Z46OoGKPops7WeTsyMLg2Cw8ONpndhaVRYr2jWFanSC+bZddux0556XLa/Ryu27jbYse7tm2+6Xk7ohzKwMrAbCS/0aAdequVTVT02Shv7h0gHX77bfjjjvusEl0WFgY2tsX6i7PrbvxwZ2NA2B9cLn9UB+Z//Dff/Nf8c975nVVnn6e8PnsapRPLQRYoX5emPjNm+oINbFj4MiY0aFR0f2wREfQpYbaSSh6Fs1QaIInluT4+QwyMWSuCPAYFJDTcJQsFp3A2Z0YkRAqwmXObZthV5W7B5prOrHqPCPMe4pEw9XfMShaJJahaCDJ7jkCOQbBBt3CxTpic5p0bLEsRqE6I+uCXBw7NG9gmZEbi6GOXtQdU8qfdH83mGIBzNpoxayL5uZUNHDMS88IsreaUF/SINeoMjam87Nhniutcp/IhGB0VB8NKWMAACAASURBVDYLq8cSqGlTGlwC/FBSaFsCtH8AaepZ9PyBRe0PCNQILJkvdj4WvLX4gO2MT6yDWQMmw8J9RXeVlhaKYVjg5K7H4JE2jI9PY3B2bmAe/avcXWEM1aPqSA1ichJRU9YCZydnmecowGp2vstTPW97vRJBLcFea7VyX+x9qzI2p6Fc49S+lC9gRHwwPHROqC6oEzDNHKilS+6/9pI8XH/vVfAL80dpeSveO1iNZ14sOOWh3fVu8PbWY2JiCoOa5zq2qgntNSdfcKhDbK60Bcnegd7SMekWHIjQSH8Ziu2qc8P3/3iN6K9e+ctumOfYVe2JEVj9o+l31k5E9T1+d+ztK055QY4NzmgGVgJgJT1662kDrOov/e+SS4QEWE8//TTefPNNa67oVRcSEnJGc/fvdDAHwPp3ulvn2LneetHPrIDBeH4GyhMC0D8zP8hXPV3qrwxHm9Fd2CighCwO29jtS3zay0vIihVGjG7lOg8366LK+XlkGtSgbkkVuNPPqrGsWdgSupm31XVIOY2AiXYFfR19MnKFLFVoXCjqdF5IDvZA2bMHhO0i0FMXbbIYHF1DrReF6TymtoSpPVdaPIRlGFB0tEEAQ9uJagx2zZ9jhCEUE5ZxuOpdbXRe6jHYGcnSJhd5ggpqsCjU72zolo639hZbRoYLpL+3MtKGzFdybgKmfHxlRA3f8/Jxh2V43Iblo0N4dLQ/MDkFDy8dBlu70VjaJOwZB0PTP0ybV45qYXnMPrw3ZMMyPn+PXVyckbQlHnvGu6SRwOjmhaEnysCOxOiEIDi5u4m5acv+EsRmxqGmpsdm2DOPHx4bBB+3WZgP2H4egQWfEe4vQPa8dAHS4juWmyB6MHWOIt9P35BqLdOezlclY1U8ijQdkOq+HMXzl4p78OOfPYu29gFYLBOYmJxCn+raf5IPYU7+8vuv4rGnDuGrV2zED2//B+oalHFCOTMTKHt98fE4ZM98g30WnX3IfYNjQuS7wJJvfXXXKUHStsvW4Kt3XG7TIXjTph/jxt9dDbrTO2LlMrASACvxXwBYNacJsJ599lmcOLGwcWTlMr2yn+wAWCub/3/LTyfTQ6B099X3453H34Px0nwc8nORaXqLRXywHwbuelXKUnRk5wL5fsFxLWSqKHJXgyVAlp8ImGgXoPwKV2wHyOSwU08FbfzlTld46ouijBHwDfQRMTxLcGS12I3oHR2MIy0WRAV5QN/WgY7aDkyOTco5sv2dOil28vW09EqJiPoslhFpG6AdnqyeHzVTMy4uINlGcKF1Nvfw9RBjTfP+Cqs43P76TZtT0dvaJyUpAh0aiLIUlphnQF/XMEYtE+I/pY6wSc2ORum7Zqvres6uPNQV1CLKFIeKPSVI3piO6vp+68cQ+FVpAIyHtx5erixD6az2C/bnZO/nFBwbDF1OKtpb+oVJSl4Thwr3UbRPzGnuZmexC/5oO9SI8JhANBXWws/PA/WFddIg4J8cJ2XGxSIqLggYGRYAzG3JOOo89QhJjJLROSzhEWyze1GaCKQr0rYTlffATa9Dd/sgutrmr/1UX7KQCH9MDA0vmPW38ZOr8YNHb5RxRw2NPfjej59Eb9/8QHAel9J3PofTCqFqjVtu2iXi9It2ZmL/oWrcesc/5b08lxmUvDRfCtXuw2eA5epTBTtqU7ZkyqzE0rmmCft90vPjULynVH5Y/OjvN8ncRvpf3bD2Vlx63S5cfM2OU32M4/0PMAMfVoB11113wc/PD3q9HmvXrsWdd94Jg8HwAWby3D60A2Cd2/fnnDo7/gP9zD0v4+GfPC5miAQhXNjNcT5on7AtC3pyKPBcGW+dtw8sb5Qu6GI72cVxMaXRJhdQbYccBeEUg3OxoFUBx8D0tPaip61P2Cc1CE44CoTCbeqlVE0NvasoJHfz1CNwx2p0dCj7hIf7YuKYGQmpkaLnUWca8j2WjFiqY0mQcTIWiwahZBjoOxWZHideR+MjSkcbh1Y3FdchJiUS5kPKdZkPVApIpM6MgDM4OkjYNwrj2QSgek5pdWhkcMRQMjoYfkHeGBsetQ4+XnP5Zhx+ap81B6EJYZjw8cPwwKjYTOhnp2TeozbyNqeIkap9d6S6jWobQWDKSL8kBweTfZDtEYC+2UlUWuZZOk7M2zTljarn5kuLufkxsPQOoGau/AZ//0XBaUCINya7ehcI2Dln0bDaiL6GdnlPO9Cb58PcEpSoFhosF1O3RjYwPDEcZUfrQSAZGR+MpupOZd5hgBdCIv0xNTUttg5DfQrgS8mJhfldW20UxzJdecfncOHXtuNXv30Nb7xTBl8fd+zcloH83Di4Tk7it1feh5CMWByfchKwxUKnzs0F373xQuzabpJjDw2P4bv/+SQqqtqR4+2Gsqf3L3j0yWKyRM4RUCeLkNgQRGXEob9/VErcZLxCQpSRUgSc1Gbp9S5iFqt18v/cLZfi6p9/UQ7LUvdi5qPaz3SUED/4f3ZXAmAZHvnRaZcIa798J5qamuDr62tNCsET/9jHK6+8AovFgpSUFHR0dOBnP/sZysvLUVpaiqCgj2anqgNgffDfpQ/NJ7Az6UuG662/9I0b01BX24uU7WnY56aUcZxngXXd4xhp7EFhXgSCXF3h92KJuJUvJdTSGLflAs9FlJ2GLP9x5lxTZQsGu4elpMexMxzCS4sDbdCpnMCLom2af5J5IgPWVNEm7FDmf2xFUbVSsgkK9oa+oQWtxfUIjQkSs0/OjaODN/chYEpfb5RBzxRZs+zIzjX6aGmDizH/0BMqlqN/GgcwNKAAE3dPHSLWJ6HqcUXgzaDGjAakZEemJydRdqAKyfkJVlE3t2FZjx7rKgCi1kwdMJy/MwvH5kbDcNu8C3Nx/DVbbZBhez4aqxXrCRMZjd3KLEOK9710LjBkx+LI84ff97aopq9Rxij0x0chfHUkToz0YlRj3Oru5Iz8minUaQYpJycFwbxHEeLnbM/CuJMrqjRibe2HGo0hKN23uPCbXltkrmiyWnawSuY7aoOl5LqiRunGJOulBkF4Z+cIjHmxKNtbJs8Rr1vbjUqAkr4pHZMT00jOjUdnfQcOvjjPLt3xzC3YcOlqFJc244bvP4abrt2Bj+/KhpubMoD5ud+9ivu+9RD8Qn0RFBuC5pJGpG3JwE+f+T48POZ9sw4drcXPf/0KPvfp1ah96Sjeefgd2Z9MHFm33rZ+OXf7WZ02z/SFeSi105f5h/ggJCoQVYXzTG9UsN4KrvjDgqN+vnTb5dIJ6+rqapO7sbExeY1/6LXGHBF88f8JxHQ63SnLkO/78DjePGkGVgRg/fVfAFhX3rngGm677TZQb3WqGBkZQWJiIm655RbcfPPNp9r8Q/m+A2B9KG/rmb8ozsy79/oH8frDu+Xg0ekxGJl2wdBcyST1ggwM62Yw/EYpuudcqdO+sAET9d2omesEO9VZkWHguBKabbLMR8E5xeoUN5OJ0rI5cRkxspCQUWLZSC07Eoi1VLWLloXlvextGTIkmSNGjr2hLPjGL2xDeZWyGGckh6D00XlRpry2KVXmyKkjY8iMuHnohP2gFxTPk+NeOurmfbNYTmPnI4EZWTCCs9C8FDQWNSpjfoK8oS+rR1vVvNEmARUBExdYBhfEpJwEqzs7X6OtQ6NZEa+rQ5T5/2Tn6DavxmIdl6GrM9DbOSgMVqCfHq1VirhaHOoDPdFBIOnpYh12vNj9CYkJQkRyJMZCAlHeOiD1sNRN8ZhwnsV0iwUuUZ7Ql3Vj1skJel9PzExNw9PNGUf+/LocjkO0Q1JjUXqkXv5OvRXPSQt04qK8heVaLFTGkGC7prBeRhYRBLTUdCA6KwHOs7M48dpxmeNIU1U1eI1Z20yoOV4rZrRaCwr7z/nZi7di7cV5wiheFvo1YcH4/D3T+zBc3VyFuWrvHMAVl6+Te6/Go3c8hUfueNLmcPxc7iezHOfi0ScO4GMXZiHA3wt0T1cbQ+zNdrUHYtPBukvy8Obf30V0RizMxQu7Q8nOBYT6obVOeZb52dn5MRjtG0J/1yA66jvFioS6xf995ccyXoeiY20QZDHc2fU5MSk2JfwuEcwTZE1y7JEnO3EdcSYzsCIA6+H/hPNpdBHOWMZQ+5X/WTKDtVh+du7ciaSkJPzhD384k+n7tzmWA2D929yqlT/Rv972BJ686zmEGsIxPOlso6cxropHxRvHbYwOT1ZOO9mV5O7IktIgBeHpm9PR3j+BALcZmeXHoOCctgdOmBX/KS5QBDXsfGPQuZzBsmLahmRZTChUJwNG/VB3c69otQJ2rEFbWz9C/d0RNDMB8+vzzA9LglxYtKwYNTaZm9NFm1VforAF9PHyDlTmvvEPhzXTlb3mRIMsrkGxQagLC4WHzgVuLs4YGZtEVFMbWirmF0p2PHJR1I75ITALigyUYdE0ISWDpp6LCrbI6rBsp5qA8ny0o4bU/KZetFbmDHbXtsuCS4bC298T0YlhKNujsFm+fvpFzTv5XvrGVHR3W9AzV0qlJ1hoTjyKW/qtzvjcjjqrgTm2jn/38HCD0U+Hsdo2aRCIzYxHeFIEao5Uoae5W1jCyJxkKXPxGlOSgkRPtlgwp9UF9dCK7tlZGp6djPbWAcUWwhQJF6dZHH/piPUQ2meP+WJOR4dHpXHAPggif/X27VKWve1Tv5TxR9998Fpsv2Lzgm1ZoqYtxisPvY2X//TmgpIeTTsfqblPgJl9ULt408YfC9PJEnJjeauYzBJYq2VY7vPJGy7CN+++EkffLsPdNz0i5UzOyVws/IN9pAFjqN+CjLWJ6O/sR0cJx1Ep7Ck1WNXHa/Fo3e/lmVWDYJKsbOGeMtEdUm9I8MdZjPGZsfj2/V9HQJg//MN85fvAILDlfup/3dzcFj0nx4unzsBKAKyEv5w+wKr76v8suYvQ/qrHx8eFwfr617+O//qv/zp1Uj6EWzgA1ofwpn6Ql7T/haP44+3PoLNl3mWbn5eRF4tCjY8RgQLZJ2qKlhJc/MNN8aJ3mhm2wMXXS2a0eXrpMVxRK4te+oYUsQ/gtnQapwGn6k7ORYtMFxdA/gKnAJjlQHbZEXxwv4zzTKiq6saME5C1OQVHHn3bCkw4HoYlI7qCs/RG0KQNgixDdrxosgjSjr1eZH2brApF/wRW1KaR/Yo0xaJyfAbdFmUGYlKAB+qeftfmmGQpyLIlZMfK+bJERANV7dBqnrv0DsjpzEp5NjA8wKq9Ug+oHUatvpb1ifVwdnVF8e4SBIT4YmJwWIYuk2UybUmTzZxmZjAzNYXq4zU2NhlkcGKyDIuOtjFckI2KU3hNZbpNo/St+RxFGyMlP7xG+qC5uLrCsDYVXVXNp9TmsbNTGMVGBRxlbsuEubLHJpehUQFoPayARsaigHNNotUsVrszmdI/HP8l9j51AGRGaXDLMrA2CCzIGLIsqLK4iz3XfI7++9lbEBy1UHNCHR+HNqfkK/MByw5WovTdcgFB3916m7Xr8579/yMjkl79+3u457t/f9+vT1p2DJwwAydXV5QXNSEhOQzursCJN5Xc+wZ5IzI5QoB1QKg/rrrzC/+fvauArqvoujvu7u6eNKk7lNJSrDhFP6S4u0uB4lZcihYrrh+FQt0tbRqXRhv3NJ5G/rXPy3257+XFWip8f85aLCDvytyZuXf2nLPPPuJRffi0Z4QPx9qgBPpMEFGkT9Q3JPgj0CJgpfAsdcfIUbR1spb3jSBrVPJhOF843WOOBcAK/PjREXuwChY+PWyAde+992L+/Pnw9/dHZWWlcLDWr1+PlJQUBAQEjLyT/gfOGAVY/wODeLQegRlgT175HlK39ZW34b39wz1RnJilBVMEI9TzYcbgcC1kbBBsXezRY2qKsoomGJuaiOeEHg4vqx44uNkJ6BGV6tYOUXdnOIMaVvQa0IulEeUMkwVk+++7RcvKxctJFgBLB2vsTiyR/+ZC4mTcIQCQgC4wxlcyFpXyLwwJ+kZ46fChJsxLQNLaVAk3kTujiFvy+ULiA5C7t1AkFuiBGz9/AnJ37kPPhAjUt3aikyKbzpbI/m6zdAf1v1jahdwigiy2iZwxNbAaqN8IUgJifCWrkZ4LtfG6SliTfx9/9hTk7KUSfIsQ+RVdL/4WOS0cWb2cKfZH+BhfmJkYobGpAz3d3Sgvrusnp8DzfMI9UWhpiahwL/TUNMHU2gx13UCxHuBWAyx6RyjKqvSvus3kyyWvTze4uPM4jj/BEssYsayLeH8CfFBdqUvYDwj3QO7aPk9kFMdCT2aCAF0RLpVr986FhNmxeHbFwzAz7/PIlOaWi6eNUhCcx/TeJg4gr6A/VgS77+15aUTAgzpwl/jeIMr/y/a9JV6in5aukTlP4vtnL/ymc5uYBD80NXdIpqbC3eLmgMkWpqbG6GzrkJAp5yo9uyy5xN+vXHyxJFis/XqTZOD29HSjMLVY+lYxydisbxbtre6uLjQ3tErIlIklyobp+peuwIX3zAd5Ngw9KiRo/jfDjpxTtra2w339/98dd0wA1kePjRxgXbN42ADr4osvxoYNG1BdXS3aV1OmTMHixYsRHa0RxP3/aKMA6//jqI/wmfeuS8PGH7ahrqYJu7cXaBXFBVzE+qAyo1Cnbpwh78Fgt+RCN+HMCdi1Yrcc5j85CiVFdYiZFIzu5makrNT8nYsFs+1IYG5vaRdvFXqMkJ9WBP9IH5hbmGlV0ifOS0BFUZWWv6Rcl2GlyEh3pK7WlIAZKIxJ4MWQJLPX6qsbQS0vEr5JgGfNOwE3Pd3i6UjtTZUn38jRwxGdPq7IrmtFnKUx8jdnwP/kePTACBnfbxbwR90pJfONizFDWNS+Uof8hhoiQ8WP1c8SNzsehflVsjjS3H2d4epqK1IQZb18NhZe5sKprgNInSUbOyvUVfZXQyeXxzvcC8X763BA9Xvg+EAcsDSHA4U1O7vh1tWB7L/24ADFUt3spaYiwawh4zU9gtyQqQfatYt9by1IJiB0tHfCIcQHJUX9EybofewqLxepjeCJYWg3NkddZgFaGvpI8a4+ztIOgpATF0xD1q5c7PozCW9tf06SDl5e+I6Wy0cwRQDPOafmi7FdvJeVnRVOuXKW/Lb+2y0InBSB7rZ2pK7V8PxeXf+UzK3hGsHQc5e9jrs/uBEJJ2myDxVjksNjl72NPes1Eg6sbdlQoAmL64Nse0crmbMs10R5Ec5JbgZ4DdbrJJeS48uQMT1q5PWpSzSRDM9KCmrj+HHuK3U/5b1PCJRQ5ozzJgtwq6mpEZBFwjzBFblb5HUd78a2Kty0o+mJOxYAK+DDkQOswmuHD7CO97E+Fu0bBVjHotf/JfdkqZBXr31XyuEo5hXqKRlbXUYmki7eXtkXuuExXJDoZVCy3Qw9qlolnZ4GUxsr5O7IEQVter7KGrsRGuMDS0sTJP2yVcJvDKuQhGtsbIKCNE0RaKW2H0nt1IyKnBaJ7O3ZAlSYdUZRSoYxGNohjyloRiyMmpqQl6QhXNPoAeOizNCbvsWfMQkmxkBFZbOkw5v1dGJfYi5a2rpEjypyfCD27doHygl4BXkI94sL3vjzpqIocR8q8ytlsWH6fOxZk1CdnI+Komq09RZGVlTqGVaih0F/UaOg5EC6UTyWGWLJqlp6DHXR80CPEaUieO8DDa3C3/HwdULyyt3iGZxwSgJam1sl+441FuNPGSe1C4v3VSAkzg+5KZrSLDzfN9gNNraWsHWywu6d+w16ZUzMWbLGD5l/7ZVIJongzk5Wwi9i0oEiOWFoLij1HMkDogePYJMLHQEAuXjsO8UTOmbeOKSnDqyCbudoDR9PW1GTz0jaD3q1CjYma7MwpS5kQZWEuh5Zfid+fWel3POGl6/A90t+w7bfEiVLkYr9howZheffdaaAFnK/GKql3XLem8jLLIO3py0cTLrR3tiC1zY8qeMRU1+vMKcCAWEeOrcgz4nPrb/IcwxeveNzbPg1UcAcNxF+vvb95gsvFjM1TLSvFBs3d4yQ+znfREPOwlRC0V6hXmioaQLDqhS3VWwg0r0hMK+cc+ub1+DsW07VXoObMXoKe9AjHEh9Uv3x8umj500BgwSChhIAjmRbRwHWkezd4+faowDr+BmL464lnz/1HT57oi9Lirtdhmz2Z5YKcCEgqq+olxBEUWaxeCzCJ4QKMduQUVqBWlCs6Ufyc9zsOKTuLkJErDfMjI2QsilTwFn4jGjkZZQjLM4HxUm5oFJ6ZVENitL3Y9JpY9HcyJp9uaLmzbATF+Bxp4zFnjWpiJseLkR01hpUQicM3TH7jaReJZynbh/J4+RtMcTIHTzPYxYiSchc4I2dnSVcae9oDU8PG7TUN6O8sBrBMb4w7umSNlDyS+GDqYtA8z70EhEkWlpbiteA9+BCyTYRlNHTwTBQWV65FOiNmhImz9Td2S2eAnVBbHW76Q3jNRQNMI5DQ1WDZDiqQ4XKOQR0VLhnP+hn3cWdNAbpe4oQHOsr4+jhaYe8pHwdTTDnmBAc6NWN0h9fX297GR/FnD3sERrri+aGZrS1d6GxqkE8WdbOtqgqqEJdaa1OViTPc/V1lkQExZTsUf6/eAfJazIxRXZ2f6L6QC9PVIIfUn7fLj8z85JAg6ByafIrArzYJupP3TH9EQEw171wuUg1cFNBzxbnez0zMa3NEX9ijM5tyLf75fMt+OjlP3Q8SeaWpogZF4i4CUG46PoTJdz3yHWfyP0o2XHmxVMwYaYmIWMo4zkPXfgGUrZqMiRjx/rjjIUnChfwiQte1Xo9bRyt0d3eoRNmpiApvW2cH4p3kzxCAmme31Chy6OkhytFBdjp8eN7pCbg67eX16HUBL1YngFu+PmtP0HQdeYNc9HY2Ag7O7uhHvGo/97a2gorq74sTzaAAJegx8bGRnhlR9qOCcD64BA8WNeNerAOZy6MAqzD6b3/4XMZfrvU/0YBHdSfCk4I0Hg86CEJcJOdPnf/DJHR+0BQRc8Ad8SGwkFM++aHnmEX7qwPNHUgP0sj3kkOV1lKHswsLSS8U1vbirLCakQn+IrXRbHx8+KRvC5Nq2ZOgFVZVAWfSF/sSy5G1ESNsCi6uuTvaoucFIrMHRrgp2g78b+ZQebu7yaeNwIktp078NLcCnCBYdmTbjsH5GeWISLBX0BHR0uHhC+zd+1D3ORQlOdrFiyCRhr1q6jBxbbw+tTMIoAiYZhgb/cqelX6au8xjMaQE3lYVDJX82F4PaWgs6HpptSuIwDwj/SFhY35gGrg6hAigaxaUZ9eLCtbczTXNiFrW1a/sBjvHTIjFoV5uuTy4ChvoKNDPHtq8w5yQ3lOiXhMumbEa7MO4wLdkLUhC56+TnD3sEPayp1o7/XoKRmD2vGeO0bCmfTAKB5GAl6faH/UtvagyUDJGr8Qd5iZm2jCiQ6W6O44CDNLM+RsSsOsBdPEC3rpI+eLx1Gx+qoGCdmy7JKVrRXqKupF8fyaZy/F7Ev7ZxIq57HO4KIblyFpm+6zq/vhtAsnoqW5HetXJMPW3hI3PHQm5pw9bsgvR0VRDQoyS/Heo9+ivKivz5lM8uyPd8Pc0hzP/ectrPtuq4SdfULctaFqciAjp4ShW+Tle5CTmI/gOH/kpxYhZmYMUjdnITjOr9+YqUP7JMfzHgOFdvkATGThe8Pvg7qAOd/Ld3a9oOXiDPmwR/mAwcRWGxoaRIn8SNuxAFj+Sx8fMQer6Pqnhs3BOtJ99m+8/ijA+jeO2lFo89cv/Cx6PeSrkJOhJmDTC6J4qZSPsgJgWNuOAEzx5ihNZWZW04EWWDnYIDu1FG2tB7VP4eXvDAt0IT+5EHEnx6OivBHOVKg+0KQFLTzYELeLOldNjR3ITyuWEElRSoF4HXxCPVGQsh8d7R1CfKeWFAEeFx96eqpL6+Du74Lq/bVC5GV9Qu74ST7nM9NLp9iYOfGob+kW5e+oBH9tjb6ocQESQuzu6JAQpTosqoQePYM9+tX0IyA1pMvEhUkdslHuzyw6ktoJThUjsLJzthFgRnV3K5YH8nSS8FxibwaZ/jRRAJahsB3DiwRpHgHuSNerCahcR8J3Li5obTkIF08HePk6Ij8xTzLjaIoCOHlcjvYWAjAJwB1OnQxrKzOU1zYj0tcZmev7ag5atzRISI3PTmK5Ug+RHj96BZVwqv6zjDljMtKTNB4zPrOTmx3cnS2QvTVTW7uQv7G00jN/PCKCnOwzGgEUw8fkJl1473yDkgrVJTVY89UmLLjv7AHftqLcSjx+4zJU6BH8BzphximxeOS1S4f19r7/+Pf4eemafseee91sXL/4Avm7ArDCEvxlftDo8WQ4vHRfmZZjyPeBiQQTTx+HPWvS5O/64URJBLGxEK80+W70zg0U5uc8ojCqktWpbiS9s+/tfgkdHR0yH/4NPCyl/az+4Ohpf1TafMwAltXweXHdrW0YBVjDel0HPGgUYB1e//3PnE3PFMMlJI9/9PBXKMnWFA5Wh6cITmJnRmkJ2gQ89AoRXDF7TvHK8ENNwUwW4mX4jaCLH/nsXXnwiA0WcKOYd6ALDuyv1Cl1o/zGjzUXC2YIcpfMEBIzmdTAI21zFlz9XNFjYgoCNS7oBckFaKhuxJgTY9BY14i6snrh9NAoyElVeYIShk8IWrhAE3QV55SJ94mZgtUldVp9Lf+EUPGoEbQxXFlfWo2O5naQe5S5OVOen/3A52a2HDlVzNij+KhSiFo9UVgKh2GXkDEBaG/rEC8Pn0tqK87Q1KNjKMvOyQYBcYGygFeXNcA/3EMK/VpZmyF5baoO4FKuPxB44+8Earwu+4j9ZqjYNuUv1BmS6nbL+M8di/SUMiQkeKMyv0JI/SzZQ2BEr6etqyMcnKxEfoAWNT0KZQ2daGrSyHUomXvKf/va9oggJkNR+saxopgspRPIecveuU+8eRL6srPR8rFECX6NpoAyw4qcy8zQpDFD8PmVj8qc+h2p0wAAIABJREFU/erZH+V6ar4dvYqvbXoaQbH+I3qX6QVZ/t5afPHW6mGfxxDz8k0Pa0vV7FifiUknRvY7f9W32/DK7Z/J38mbIqeQ75ZngCse+eBahI7RtHXxJa+JqK61rQU6Ow4KUDQUTpYajZZmosHW3NQh84ZZud5B7qjaXyVcMWqc8Vz2OTlzA9UL1Re41W88aQRLNjwFU0tTg+VUht1ZR+hAdRkgVqYg0GaCyYbvt4rXdsqZ43HObaeJJ/lI2rEAWH7vL4LxCAHW/hueHPVgHcZEGAVYh9F5/wun8oPz58dr8O3Lv8pHlgtlW3ObRsspxENCZQRe4ROChR+keKYUbxJT2amxo6iRq/uEtfO406ViOInX3PH6jQ+X63v5OKK1vlnkFtRGLwqNwIpp5PQoaUIVNf121MxAo7I6w0Ex0yJRUX5AgFFQjK9wXZgJ19XaKqVNCNK4UCmK4OTdDGRsK8vr0KPGj27CvHGoqjqAyrxqhJPYvi1Dx0vCRYkZVsEJQWisaRRvH0EaU9rVoRPlfgRxXPgVLS32u0+Yl6TVEyAwnMqPvnia9umG5OwcreAf6oHk3my1/qBEl0ej/E6QQu8EuVmDEc8ZwjTUZl4ndnok8lIKMfPiE9BYUStcLgJZtQWNYShZNwst7KQE5OdrQLWrp4MAR8oPWFuZoGhLqkGhUwILligqzi7VjjtDy831LeI9JSgOnRoFExMj9LR36NSsFOV9C1OZc20tHcITVDxj+v1F2YuvS5dK2aLhWmtzOx646kPkpGkU9g3ZrDPikbIrXyvSqhzjE+iK2584B2m7C/Hndzvx6ar7tMR28qxev/dLlOZVCdh++MPrkDAzApXFtbht7nP4Ou1FyQ5UjGWiNny/Tcj6AwGi2NMnou6gEerrWhAb5IimpnaYWlugtdsIrQdaULZxr06JHvYdMw31y0/xnlKeKtQDGb18MEPPTQD/UdoSOHjZHZf8K3V4kEr8y5/7UQAVN44EVwTmeSlFKM0pk7l9xg1zpFj8P23HBGC9dwgA68ZRgHU4Y/+PACxqX7CKdmJiIsrKyvDTTz/hnHPOGbBdP/74o0jnJyUlgWqvMTExUtto3rx5Ouf88MMPeOyxx5CbmyuKsM888wzOPffcYT/v0ZzEw27UcXIglcfXLt+ETT9ul1IziileHeX/CUhEw6j6gITR9Avs8jg1v0k5jwscAZqljZUQSAnSbJ3t0NZ2ECVpRQaz9kgOp3eBoTyWzCFPyNTcBDv/SNLpNS4y3mGeQkDnB9HW1QHFWaXogjGaVcBJSodMC5UQFFPW96xKlnChuoD0QMNB4EhQSSBmZGaCllOD4LytFhk78xA9MQgpf/dpLrGPrOytsWuVJoOLi3XYWD8p3sw+4OJOJXGNXmiPkJ3Z9j2rNCn9iimK3kp/jjkpDmm7+jLaAiO9UJzWv/ai+hpjT46TrEnFg8PfqDXF+yav09T74xg7ezkZDPEMBL4IaM665VTZ2Z9541w4ujlg94YMLFn4NqwdrNHZxjIrnSLLoIQ/o0+IQZOZpZQ8MjE2RpeJCbL3VYAKF3Hhbti7fK3MJ9YTJEmapH5y2Yr3lQmQImhQlwAayDtHoE2ASu4awfxwjaHg+5fdJoT/4Vj6nkKs+S0JW1alo04PWKrPjxjjhyXLb0RuRhm+fHs1tq3VVak3tzCV+of2Ttb4asNDWo8W+VZjpocjbkoYPn3uV9z24iXay2btKUDE2MB+zWTx8PtOftIgIOLBcReeiPT0MknQ8A9wRupelQfY3w7Jf/TVXuTxBFEEWfohfgJvgl19QG2o35748T7EzAqHo6PjcLr1qByjz7v685O1WHrfZ1j0w739kheUBjFkyML2p11zsmzM9MVnD6fhR3NtUu7l994TI/dg3fjEqAfrMAb6HwFYrKK9efNmjBs3Dueff/6QAOvOO++Et7c3TjrpJHkJP/nkE7z88svYvn07xo4dK4+zdetWzJw5U4TKCKoI2ii3v2nTJkyePHlYj3w0J/GwGnSMDkrZmI4VH67GeXecIbyqfbvzdUDVQM0ikCFZlou1hAInh4m3gV4pRemcIIikcXpcFCMPhN4q9a7aUK085XgurlST1vec0JPDcA/DEgzfmZmZSjq14i0jUGD4w8jEBA3VTXD2dkbqdo1HjKVImIWY+OceIeO6hvmhpbpeQB5r1w1lXPjdg9zgdUIomisakTnNEdYwg+O3BaAcwL6NqdpL0OvmE+aNgkxdCQHPIFd0trbrZPQRwBBAUguLNRIVY/+wTxm+YWkTAqCmtm60q7hqUWP9kKrK8jL0DGNnx4oYK0n+BEMMPTIrkllm7n6uotxN7wRBXMm+MvFKqo3hXJ9wLzTWNOGEC6fimuculfGnkj6BktpuPvcN5GdpnjnA1x6F65OEE+bk5QQzHw8UlGq8WzETApG/rxLNqmcJczJF1ipd4MxjCZYUbxO9S/SmKKHnweYQz+U4kws3XGOWIPmEw7V1K/bi5Qe/00lQMHTuwntOxYXXnCA/cWF/9u7l2PxX31jz7/4h7rjl8bMwZmKw9hIE3soizkxZ6lUNZfTgrvt6M9Z+s1lCe7VlfeH38FlxOGhrh6L8aoREeKK9ugGl9e3azEPPziYJG5KoTomG6uIakfSgl6qtqV0kM+jJJh9uMKkNpY2PfXu3hHDpkTW3MeuXqTfUsxzJ35W6ihYWFnIbaqDR0zzu5LhBb0sP/xeLv8dlj56vBcL/RDuP5tqkBVjvHgLAumkUYB3OeP8jAEvdAC5MQ3mwDDWYXqyLLrpIW7OI/82JQfCm2KmnngonJycsX758WM98NCfxsBp0DA5K3ZSB12/6APuzSoZcGJTmUWSTH13+Q66S2giGCKgIuLirZWYSF2AWlbV3toWRiZGALe74FHI85wTPI1jSNy70lC7Q3xkTuNELRjBlyEPG60RNDdOGKyacPl64QwzNwcQEbQeapMwOd93+sQFavo6Hn7NwVWzNe2AMoLG2Ue5BUVHRX2pohvHJgch1NUKF6UF0mAD2XcY4YKLJ+rPrMsbM7W0wrmiBrSNryLUIOds30g+pW/qKDfNYhnmCory0xHXy0CImhGgAag/E6yKSCVPChcOmtsjpUchJ7vM28LfAUNcBiyLz99iZmiLVBFZKRqN+f+sLq7Kf6S3kwqzUdGSo5P7Pb8f7z/+O0sIa4c/5BbnhkhtPksLRTQ2t+GTJSvHkKBYS6IiaZA249RkbgrQiSlf0IDzSEyXbMkD9tJwDXdIptnaWaNuRIjpX2jnn4QDfMC+ZB4r3RF/nS9124YPNiJKwJ3mDts62yNvb37tHJXaCEI6ts5ejTpiZIcfxc8YMSmRX9199bROumvMS2tv6EjT0+/eBly/CrNPjtX+urWrETee8rpW3cHK1w/xLp+C8q2bAwvKflQN4asEr2Pj9Nrk364XaxYXC1lYT+rQ0MULiyr2InR2LlORiWFmaoj01R3h4+p5BerDIN2TImqCWfD1DIrjc4HDTxc0UQTzLDSnaYPz2KuruR/uzx6iIAqTU96b46aFIMFwZdive3/uKqPr/U3Y01yYtwHrnEADWzaMA63DG/LgAWNxdBAYG4v7778ett94qz8N6RnfddZf8o9iSJUvw2muvobBQl+Oh/M4Xi/8oxonl5+f3/9bFeaC2Ea8sfBdpWzLhHeKJusoGjYzBAEbPE71O/GAyvDaYsjjDTpk7cuAZ6C5ZSfohBd6CRFpjE9b3s8KB6iadUin8iHOnzBpo+saMMmZ6KVlMhrIH9UURo1iYuKROzuF17R2sJFQVOCYQlXUanpbaYscHIOmPXTp/C5sXi12zHFFj2petp9822y4jeDyqKSocFOeHvD15iJgcjpwkTRFotYWPDUDmNk3GnCxGk8KQuXOflvNCQjn5ZexHkrgVi5oaIZmW+uYf6Iz8FMNzn8fS00DwSPKuIQ4NjxnMC6QInt7+0a34ZtlW1OipuTOkRdHRsv39Vdkjgx2RuqKv2LLtpDjJ4OsqLEVzL+E8el4C0grqERvoiOQf+uoyEshTn0kduqVa/+xLpmPVFxsFkNLonaOGGsESMxWpQK7WaGJYl+CfQJEq62fdPE/m/XVxd+P2d66TUOkfH67GW7d9JNfh/7/w12PDDv38tGwTlr6wYsD3hz988te98PTtK6rMv634ZjvefPIXOS9+cjCe/+TaQa9xKD8SzN4541GZ8+yfuPlTkK4KBzJEaGbUg+qyekRPj5BbHKypR+b6FDi624suGykAinGTRa4gvYcEpvrq7qzx6RfuJUXXaeQwPffHw6L1RmMWIQENv+1HWwurs7NTRETVRs83+4WaZCOxtV9vlvnyQ9XHIzltyGNHAdaQXfQ/ccBxAbDI33r++eeRkZEBd3d36Vhzc3N8+umnuPTSvrTmr776CldffbUOiFKPAnlcTz75ZL+BobbJsdpNHatZwg/uc5e/jrXLN0s2mwJkyDshz4IfGgIo7v4LesNII20r+T57VqcgdFyw7MbVIT4ukORdMaTIhXv3332Ff7kQegd7yMeX8gmKEXTxPOpL0cNDox5P2PiQfnXgxs+NF68cicz0mPlEeMPVzw2tja2wsDRHc10j8ij7MCcBGcn9ycgRsV5IW5MsPC/nEDd0zPLDFtcO9BiTKTWI9fRg7ooG5G3ah/FzYiUk5eztgvReoEiAwzqGXJSoA0VuGI2LOUMSHBd67AgMXL2dwRp0itGj5ervhvTEQoPgNjTKE1k7dL1kyrnU7iL5mNfXF4xUP81AZYwIAEmEJ1nfLcgDHa7uOny2wbrE2dEKHfmFovdFM7MyR3dIEEJYH/CvvnAsQ4zBk0KQtXqvTgkb9fzk+QwXP/nz/ZJocP+cpwSQMvR4sK1Dq2XG4wgAPIM8xNNaU1YnOmxhY4OEK6b2NrAWI7NQFXvz1g+FGE6jV4xlbYYyal0tumlZP6DO82zsLAU4zTt/IibMDOu3iFeVN+Cms1+X/vT0c8ZzHy0UUddx00NFAX7ctOFxwAZr49MXv4r1326VQ0ImhaOwon9Wpm+gK4oz+96F6DhvtB9oljnlGewu9R4VU88TyoEwZF2Y1udRVX5nUgZDz0VZJTjv9jNw8YPn6KjRE9gQ8NAMeZWG6vdD+Z21EP8JeQiG2a8IvQ3Xv/QfoVf8k3ZMANbbT46cg3XLov+3Dop/YryPOcBiuO/aa6/FL7/8gjlz5mifiQBr2bJluOSSPqLnl19+iWuuuUaKiRqyUQ+Wple4yH7y6HIsf+4n+X/q2lAaYSS17gabXKzbVpRRLIWSndwdpZgwQUP0lHD5mDZUNcLN1xkl+8rhHeyJ3L0FOjpaSmhPxAytLIT7Qe4Jsw4J2ORjTJL5xBDk7imQUBqJ2zQCgejpUSK/UJ5bgaCxIb2gpRIHapoQMzUU9eV1kqlIOQZLO0t4x4chTy/jK35+DMocu7HVvQNdQ4EqdWf09CC43QIJWw4gc2M6oqZGYe+GTBEnVfgzqVtzEDslFHt7OUZjZ8dhD7P+ekEjZRoIdMlrItGdi39bS5t4uMgnY5kXQ2ZlayG1GfWVtXk+x1yROiAhnXIPDJ+Rb6c2Q7UXZ100DXe+dz3WfbsV79+7TIj9CefNQGq6Rgh2KAuyA3J29gE/ew9HtLh7IjjMHVYHDshjp6lqDbJvMrf2ZWKyHiPBsGIE2Qw3MRHjvbuXiY4Yx93EzEQ8c/Su3vfpLeKdYiIBQTa9ryNJrX/r9o/wy1t/ikfv1XVDA6ydG7JE80rfTjlvPLJTS/DOT7cNWNx5yaM/4K8fdcnkvA4B4uRZkXj09ctGVBhavw3ULWMdQ5YBos267lQkbctD0wFdkBUY5oGutnZYWVuARPv6fA3/ihInBLCZm9O1xZzVnk7KezBMyDGImspqAY3y/htKOliW86aMC41JB18+/QOmzh+PsXPjtDUKlfYLdcBGl9c31Fwb6vd/suTNM5e+Jvy2dxNfFJ22f9KOBcDyfWvkAKv41lGAdTjjfkwB1jfffCMeqe+++w5nnKG7QziUEKF+RxzNSXw4g/BPnssPzL0nPaFDOuf1SQZXxAgP5X7McAuJDxTNIoZzmGHDUKKy2Osv3MwGowdCn3RMEEWeEAEZjYKc9FCQ0E5CNgnt5Pzwb/S6kXDN8EVtRb3o9VAc1NTCAvuzy0HAUZavmzUWPSlINJiYAcgUfS6+2Tk1aNZbbNxuSMBme41ApmJB7eZw6DBCqk27ZN3NJY/d2Ag9FsZoszMVoGDa3oXipdu0Yb7wKeGoKtNobBHgqY2177z9nJCfXADWX1QKPHNhpawEyfEM6bAPGdZkBlz0zGik7TRcCy96QiB6Dh6UsSUHiTIGzNyjjpah+nlcwEga16+zSH0xCnhSgoPE8JMuZihugyy2LA8Ud9ksGFlZI2OTBjQ5uNnCPchVwo/pmzUhXfY9idA+XnYwqa2RZydQ5nj6RfmiOLcS5dkabwl1q0ISgqTgddrOPAETIWP8kbszS/SnbnzlCtRXNeLTx5ZjwrwEXPv8ZbCwshCCO6sJ8Np8Xv5G8NdY3ySL+K1vLISbn+shgZP/vv83Xr9pKa588iJc/phGuHMw27s9Fw9e/ZHOIS4e9vh45b0iA2KohmB1eYOEBgnODNmpF07EHU8OPytafY0nzntRC6hIQCdBXrGz7zkHlk52+OGDdTq3jU3wR8qaPk+yg6utyJC0NmloFaxOkLxaoyemqOpzE9DT3a3VXGPiC8G7UoqKnnC155qhe2ZlXvLwefhs0TeSXLNk42KR+NC39vYOtLW1SgiRIcV/wutkKDw41Njq/56+LRsrlq7CmuWbJKuVoFE/wWOk19Q//miuTcq9fN88BIB12yjAOpyxPmYAi56rhQsXCmHdkKQDSe6sZbViRR/n4bTTTpOsw1GS++BD/swlS7Dumy06Bw0mQDnY1Qh86FGg9pDCE2L4y8bBRvSvyIMhgV1qnvWmrrOWHsuYlGSX6tRo406Yi/3B1oNSskQ5nuKE9EqQH6ZWjCefhqEfkujpNaM6dcTkKBRnFKGutrWfRy52aohIIVA8kKT1roPdsHaxQ3Lifji62MDd0170gNzjvJAaagT/8i7s9AfGVZjAPKMOeWuzJKzp7O8C81OCUPSWJuSiGAFR9LRQ9BiZInVdCgKjfWFtby3p+Moipd+XAWFuyNuTL9wgCpHyOVl+hCCToJULnFIzUTnXLcQHtSr+E7WjTNEl3CIu5FzEqJ4+nIw5EsW56DD0p+ZlzTh3koTStq/YLWNILxFRTNRVc5GWWwUrK3MEBbjgQGMbamqb0dqqEQpNiPKhixQpOeWIDvdEzd+7UJ5XIeCMWX8UdDUUhlSyAyMmhwl4IhXGw98N93x0kw44oSeOoJPyIQTh5BFyTnCOkc+3d21f9ibbc8pVs8T7RvA9EmP9yAs9rxVgf82zl+Hky/qXxOEczc0ox3+Xb8OuTdlo0Mu45P2uvmseFlx3Yr9b8znuuex9ZBjg5p2+YBIuv/VkkPB+qPbL239K8sTGH7Zp3xlKgpBrxk3Mh8/+hl+XbYK7tyMqS+s1ha97+YAD3TMw2ge52zXZwATF7c1tAqy4eWIShlJJQH8zZYjXR60zyrvYudjh6+L3BwXBrA1I8jk5W/o1AkfaPwMR3IdzHdbNfOeuT/HXp33AlNmDVz118XBOH9ExxwRgvfHUiEOExbc/PhoiHNHI6h78jwCspqYm7Nun2dlSZuHVV18VCQZnZ2chqz/00EMoKSnBZ59p1IkJkK644gq8/vrrOO+887Qt4sul1IHasmULTjjhBNG+OvvssyWE+Oijj47KNAxjsJmtd23sXToZUwQ9XEhHYtx15uzJ01mYGRYkr4p1+rhIkX/FxZmgi3/jQqcvt0BgwhBO+pZsuPm6SDjMycNRABUBhmL6Ipf9PuQzo4THYudiD1NTE9SW16KqpF5Sy8PHBaKqsEIWYvK6CGTY/q7ubljYWCFzS6ZBtfCxZ41H2uoMg6rm+n3F8iKpG9MRd+p4VDd2wbiqUkAkuUvFhbqFcwnUQuL8RHW9+2AnjE2MsHeNrvo628gdshpUsg/dAz1gYmkhC1rW7nzETghE8joNsCAoI3hkfbnhhHzjTqQGlhGMTIDmA+1Ssobk/IvuOxvv3bMMO1cmaUVTYy86AcllusKhg82X+AAnpHzev5yLPphX5oz6WrMuno4HPrtNxlExZqR+8+LPWP3FRp3bsp9Ehd7YCHt7tbwYZiWHjSCDczticgQuvPtMqR3Z0X4QXkEaLudg9vYdH0v9xwvuOUvC24qRG7jll534+JHlsAgJQEHuwNpa5F8t/e9dcHbTBUtMELjt/LdQ1+vVDIrwxNmXT5O2jZ8eDu8Al6GaN+TvBJ+X+d8kWZJMKPiy8F15r2hJm7PwxUsrkLpiO2JPnwQzE2PRgdO3yx44C38sWw93Xxdc+sBZ2PD1Jqz8dK0A5oHeTb7LBOyKKckRhhpMbbt3dr045LPwAG4ECEwPJdNPucHhAKw9a1KE86c2Pts7O18YVvtHctCxAFh+r48cYO2/YxRgjWRc9Y/9RwDWunXrBFDp25VXXilE9auuugoFBQXgcbRZs2Zh/fr1Ax6v/PD9998LqMrLy9MKjaoB2VAPfjQn8VBtOdq/b/l1Jxad0/dhY0FYktvVpPLB2qT/EVWO5XUYNqAXhjtXcmC4U2UxY0P8Hi6EoRPDsOu/fRl71IIi+TtkrIbLxbAP/0awoQaBDCtZ2FmhLKdUUvjJIyN3KXFNGqJZZDm3HH4xAcjYvg+mFqYIl2LMmg9/U12TABSGw3gvFl82lOnIbKiOjm6trtdAfRI6NkCUr3mtyLnjsS+vFv4hbnA06cTB1g50GxmLFhc1oBobWuDu6Yi8xCzx0oWPC0ZLU6tkWDGUw909F9qDbQdhaWMpMg9KXTd1KJeAYsJp47Hj976+4/MTmDK0N9RYUqg0PbFAmzDAZ2OI9env78Jv76xEyqYMdMYEw8LUGCW/bUPnhCi0qrSqhpqz/q1NKFZxr5Tj2efMOiNZnbIdhan7tZ5MkoXPv/tMAdpKWI2A5u/P1uPV694zCBoZcqJkAE2pLhB7YgzStuciJMpLvIgZO3Jl/nCOzzx3Aq5e3MfdHOg56AXkZsEvwkd7SGtTK1644k1s/lmTEWnrYgeToEA09xakNnSt6x84HedeOUP7U+qufLxw/7dgiJCe3XnnT8Atj511SKHMwcbgi6e/l6xIzh1qlj32zd3awxlCVJ6Bf0w4bQJSNvUPVV7x6LlCyj/1yplwdLXHpp+248nzX+6Xbar2Sirjq9zM0HuvbvdNS64aNkmcIOtwPFmHGiJ88eq3hJKg/43wCHDDF/nvDPUqjPj3o7k2aWUaXjsEgHXnKMAa8eCqTvhHANbhNOBInns0J/GRfI5DvfYdTNtm6KfXBgJN+tdnqIf/qDPc1MeQnO7q44LinFIhuTPMYmlrhd1/a/gbirn6usDUzRVVFQcQ6m+HnB05sHe1h5OnA5zcHJC0Lg0kgFNWgHXQSNamtAO5QVEzolBU24n29k5EB9kjZXWy6GIFxQeitakDbv6uyNicLvwl90A3uPi4ChemOKtEFmHhccEU6NJkMJmaGiNlva7Yo9JOppinbe0vF6F+lthpYaJBxR1tXvVBLRCh56K9pEKrnO4V7o2Otk40FJYgoLcOI8EB+97Y2ERCLZGTQpC5o69EEEFrY12zgAtmWDJkqHin6EmgB0gBYMpiNpQifdysGKQn9peOeGTZzdj2xx5U7q9Cp7MDkosb4OfjCCejHvnv4VpooAtyP1slIVl9I4+OY0oNNTU3SDmOz/vmtuck9EzjMQu8rhNwpL/AMUtNLS3C4t5dXUD6Tk3SQ+zUMC23Tbm+X5gHTl04G3EzI0VIVJ8fNdAzcg6+cfMH/UR4o8+dieyMPgFTgiZqgpHg/t+vtmHB9bNEc02xW859Ew31zZh2crR4rVge5580enlWfLAa793zmfQzvXuc8/d+dLPchvONkg3KHHL1c0Gttzdi/RyRsyENHb0gesZZ40GA5U/tuN4i2A+cslhC7GoQpS/gqpDelWdS+FoDPSO5iHd9cJNsjpjlSzHSweQSGBGxtbUddpc1NzdrqkWYmor3S1+iYTgXuvvExw3WcWS49ZW1/TPTh3PNwY45mmuTFmAtWTziEOH+ux4bDREexmCPAqzD6Lzj/VRm8Hz6+NfSzKEWZB7j5ucivBgreyvs/KOvFIzynARd9EjxI8mdXWleuRCffUK9RBmZtfcU8wz2wEErWzTUazKZGCpztuhGV0enLLysxUeCNgsbEyxVFVXLcVSPjpwRjZSsWnR1acQ9GdZy93JAd3MLPDztkLopW7xmgZFM0TdHSU4p6ns5SyRZkywePydBq+rOa7A2YXi8P1oPNEuoif/IwmukIacze68w3XBtueAx/mipbxJOEMNV7hOiUV3dJ5oaEeuDzNVJstDtSy1GSKQXUlZrVMo9AlxFmZwLPRc+glOWzaHlJGpAApvhG+6N/Vml4vHgPdThGZ5LDhyN/Za6MUMSCMjjMmQRk8KQk67ha6nNN8wTD3xwPW6b9RQiThuL1PK+cKCVlZmUMVLkMYaa22PCPZD28cp+nj+2nzUkuUgzhDyQMYx4wytXSmiOiyP1lIJi/TDf9nLxdik6bHOvOBFeQR746c0VotFGra8eM3MBCQQarh4O4k1VjH9zcrXRqsFzMT9t4WxccM/8QYFW5f5qXBtzl2Re0ggGFJHd+AtOQFpqn+DuhBnhWLz0qqG66Ij9vuyJb/HF4h+01+d7+eRP9yLhpFhUFFbiqvDbdQqBx85NQNoBzbvk5mSFhh1Z8I/0xpvrF0lIlVZTXod7TlykFZtlUgYLlvOboD/PwicGY9/uAgFwHG9O4PDxwQKYN3y3VTTGDJlS6Jtg8JKHz8fcK06AiUn/oonOAAAgAElEQVRfiFg5h1nilHRQdLSYUT4QIGtpaRFAxWOGY9mJufj9g9UIiPTBCQumwsXLCR8+8IXUYjVkpBz8UP2xwXYO534DHTMKsA6n9/49544CrH/PWI24pe/f+xl2/rlH0te58HCHrm8kmJN8zVAWOS3JvaVY9DlbE08fJwtwU/UBKebLhd7U3ExCcfq1/XwjfNBkbI6mA32ir7yvq7stzNpa4OzhgL3r0qSwMT03XGy5GLNETPCkCJQ3aUrEcKGl2TvZoLOqRurT+Yd7Sl01fqwr80p1iN4EKV5h3mimtk+Srgo6y7Vk79AAMxo9QQxPMvWfAChuZjRSNmvU1Fksmn/PS9HIJfgEu+qE42LmTUCWqggzswL9XSxQWdaA5gNtiBofiNS/d0uf00KYtdfSLqDUyNhYdL6CxwRKH9D7xwwlLuzsDypr63PlKFlBzxlFH6lbRsFYSlAYMuoZdRkz61KT2ai2cSfFoL76gDxX+NwxSKtu0f7s6GgNX9MeGDnYICVXA3YNmbenA1zNjZDyxVr4R/r08zgxnZ28qMGMizJV1K9/6QoERPnKoRQTpUTExh+2Y+YFU2BtayVz9/P8dySL9MZx9wmnUPrL2Q4pW/eJzIG1tblO9iY9jSmqckIE3OS4Mfvt0kfOl0xEXoNeMzUxnuHJPz5aLW35z+MX4oonFmD9t1ukv377LQ0lhRowG5Xgj1e+vGHYXjFD/cBFnhmzTN7Y9nuihJ3JVTrnttMFJCnGAucEKwSYijVUH8Dt0x4VL69iD31xu4iyluVX4JVr3xXwWZ5fIe9Q4Ox4pJcyC7MPbJ8xJwo3PnyWAFu+u9TK270qWQRHGepnmSQK/RIo8z1IWtOXWMB5SOBFXiUBFr1bTKS4+mlNSJZ9fU3MXTolewaaC9e9cPmwVPSZYagGUAQnzDgkOOM7NhKPFZ/zyQtelo0hvzn+UT6DhtpPXDAVj37dF3oddGKP4MdjArBePQQP1t2jHqwRDGu/Q0cB1uH03nF+LrVxmGpMo+eJ6fxKfUCWtrF1shbtJqZ5C9jpVXFnTTx+WBNOihGCuwllEQqqUV/dBEtrM/HQ8IO9P3O/aOooJVZ4n8A4f9S0GaG1xXA5EX4Qo2I8kdpbLJmeNYb+KGEw4bRx6La1lWLABHLGNtYixEiLGeODmtxSIfMWZpdrsunG+KJ2f6V4rMbMjkPm3mIEjQ1GSV4VzLoO4kCtRjaB94yI80HGVk241BDpmurpmTvzZNH2j/CSsisERO4BbiJaycVeMYqGtphYIL+gj9ju722HIpUHzDvIDXX5JWisaZSsruT16drsOnLYKCNBbSF1BhZBHzWNlNp7hqYXwy2K3tFA0y/mhBhk7ukfHlQf7x/lBTNnO5i72KHb3Bz7V+xAY0W9hFYjz56C/NZutLT0eSR5LsGMZ1MjCjZpSuRQn0w99jJO0yK0SQ4cIwJ1pfjzzPMnC+ds0mljMeui6TrNZ63Je2YtkvDoO7tekHAhx42Fs+np/E/ILZJ9yPvRK2VqYw3nMB8BpCm/7ZBrMVOxqaZBx/tniB/EsOvE08biiR/u07aBi+7p154sJZ+YaKBomhXklOOTJX/JPGQ7nv3oGgSFa3SeRmrkfFG24PMnvhUgoxi9kQTM7K8zbzxFNJcS/96LuvI6FKQV46mf75eyQDQC0KcWvKpz6wX3zZd+Xbd8k2iH0cacFItKc2tU1OtqBhJnTQp0QGV6kQAkdaH3gZ6H4W0WJ2dZKKUmIQEh+5Bze9zJY6TtrG3J0OWarzaKN0t/Q8ewI/mIzFxlYsiDn98uHqShjB4tgiwFTCmZhiNVZed9OAZXR9wuz0PwTd4V59BApoDtodo40t+PCcB65RAA1j2jAGukY6s+fhRgHU7vHefn3nfyE0hSFRSm4Ch3xL4R3rK4U53ZysYCrn6uqCioEC8KwQc5LySeUw6ACxoXOyd3BzQ0daKsSLOTJyhyI5fKwULr9WJGYWl9p0G1a57jSj0lVyt0dRxEWq+XgR9mfqgZXqysakZFsapY7QkxyEkrhYOzDTxtgLzEfdIugqm0Xn5RzHh/NFTUo9vUHA6eTsjsrd/HhWTMGC+U76+Fta0l8vfkauUQqB9FIKM2PmthpoYzxHCmulA1d+jMzGS4gP1HEGZiZ4v0nL7QVMJ4fySt7tvpu/s6wy/IGYkrEoXQzdAnvYRm5iYoySkX2QYuhsKL20MiusbbxcWV/60UadafYgRAcTOitH1uaApGT48UsDkY94gevWSKnw5gDj4u8Js7Fsl5mvEm56p2bRLq9/d5twgM6BdR62yxfRQM0yjKR4m3g/OKZYHm3zQPM84duFD7hu+3ihSIWjKBwOuNm5ZKBihrTSqWcMlspKRowIS3nzOMa2pRtDsPt71xNXasSJQxMjY1kRDYhu+3CQGe4S7+m6R4an/Nu6ovMYfgiV6NgWzjyhQp0BwQ2udNGs7rz354965PkbQ2VbTA1n29Sd4rBXTyGgOp6/M3bnz4LFcsWiA1K2vK63HPrCd0kgHINVN77Xhe3GWzkbqvvyfSs6YSZfvKBURSIJjv00iMG5xb37wGp117cr/5pZ9Yw/5mySKCbmrSTT9n4ohL1ShtYz8Ol0tn6Hl4/spP14n3PXVzprZWJ99tlq9S0xuU8wmyvy37AKww8U/bMQFYLx8CwLp3FGAdztiPAqzD6b3j/NyF0XdqQzj8OAWN8ReQwAWPYRfqKCm6RRTWZL1Ahvy4SLIAMo1yAyz8SnmAgx1dKCysl497RLwv9qcUCBChl4C/5Ze3DOp94UJBMzc3gaNZFxzGhYLqRXu+WCdeidJy3WLQrC+YmVmBsEAHZPRympQ2eYT7CXhy9rAXz5yVgzVq6lrR2dEnuBgV6YaUXhDBsBDDGRQh5e6ZfCoWOWaaPjkmXATIgfKL8kG2SvOLQI3eLZLnFSFRFp+uqzqALmcX1NW1IibcBdkbU+EeEQALoy4hHpNrRa8cF09mqjEMyfAJQ7Lsc3pK6CWj4jw9M+pC2IY8Q+qppp/FZWgaekX5Y+xJsUK0X/qwhoenmLOnPSyMe7RlfAaaxoR8cf+Zjaq2LtT8ugWdBnb69MaRr0TOFS0gxldbUoXcoJCxgeju6pGF7Y1tz2pDgsN9dSilwFqN+jUrfedNQVlJHxi3sjaHVV0tzrlhDmZdMFnmObXaaEuufw9BYwJwzq2nDfe2h31cbXkd/vhojVQg2PyTxsNGwMH3hWFqzgsmoChh8MHGXF8kmM+S3xu+5nUJdDvbO9Bc34zoE2PRamIOY09n7MvRVeKPtoGUh6INVpNysIenJhS1oQzZig9WYckN72t/mnP5CaD0wXN/PIKguIDD7tNDuQC1rZg4QlmJ26Y83O8S5INxDtOjpV8gndm+35Z/OCjwPpQ28ZxjArBeenrkJPf7Hh0luR/qIJNf26NsnQ/jIsfrqUdzEh9vfUCex5Lr3xeuBF3p+7NLpVYcgUxxdqkOOZk8BC7w9LRQtmDv2jRRHucixYUxelqEZLERiCTMGSO7vfRNGdrFgWGgsvxKmHm4oa6mj9ej9ImdozVs7a203i9TS1MEzo1DWk45ooJckf3hSvGqlVXonhs8LQq2NuboKK9E+qZMWPaqhzPT0Cc6EJl7CmVXS4kHI3Mz5GfoFkiOivVEyt8asjnNJ8wTHv7uohBOb0XG9mxtlhkXQoXgPPHUBAmdsE9C44PQ0d6B4pxyMHZp7WAltdeo9UWV+MD4IOz4TZPSr4QC+d/ktbGGYkdru3heuAiyQHGFnvI8j+WYqLPnROzUywmVvUWO9ecWn1cJ1Riad+yTO5beiFkXTsXP7/2Nz5/5WeewobxX6oMHu9e0sycK+Z4cMYUTJGWB1qTA2dNR+HWcQwSYNHrtFj5zqRDYmXnGTNSh7OVr3sHKT9bqHOYZ6gX3seFoau9Cyf5aLaGbmlpPv3sFEiaHDHXZI/o75wbrHaq1opQbqr1Vjm72Ih/CPqSkBTlU+kW6yXmilzC7NyGC15Fr9PIF+b6GT41EakGDjncoanooUlNLRP+Koq4dnd2ItwUOtrZLIgPnGMFdYdr+QZMR9DuKWluc/4aM7wwLayv2YdoS4Rd+9/KvUs/vUEJ6hztQL1z5JtZ/s2VA4r36+urEBuW9/ChtyWF5zgZq/9Fcm5R7+b84coBVdP8owDqcOTgKsA6n947TcxnmumXSg0N+4JXm88NCnlFzY6t8PMm1aGvtQEV+pYa/NDFUyrMERPuguxs6YIBinnS507zDvHCg21zI8DRndzu5LovMsNzG/iKNxyFsfgJSe3fXAQcaUNybIRc3ewzSd/dxh6ht1dl2ENa2FvALcUNJxn4BYlwUqHFl4+mKkDh/7N6mycbTt+gYDySv0khHMPuMnCoCGXKcGCIhiNHftSokbYYHCE7Vdf+402XfjpsTJ94o/tZQ04jO9k4BY/p8Hy6E9JSRnE2jl6yrs1NHooHHMCSrzoRTjtUXbOXf2SavYE/xVrDWmyGbe+WJuP+TW7Hhxx149ur3dA4JG+OH7K194HioKcxCv+wLJUtTOf7x75m1FoNrY+8WiQDOD/77ncQXhThNYHDLxAeF3K8UgVbfiwT3C++ZP9TtRQTzry82wsXdHp7BnshKKtQo5/cmK1z+4FmYd/FUqa3HzFAC+WNtLMFDrpUhIVj9cCA3L4qUiqFQob5EAsNVLHBNHp6LrzMaLWxR39A/zEeAlZZWAq+6apT0FhyX98DWUsCGUj2AAJjvAkPSwzH28fh5CTj50pk6oVzquj14ymIt7+rm164WHlbSmhRc9OC5QjE4GsbvFaVQuBlkfcsfX/td5uBwjH1ram6i9d7zGc69/fThnDriY44JwHrhEADWA6MAa8SDqzphFGAdTu8dp+f++clavHKNYXE8hvoIehTeDHkdDAkyY4keLKUsCUEBF37/KG8pe8MPJLOS6P1SzBCBOCDWH3a+HjDq7kRRUp7wXdxDvWFkYYHUXQVwC3ZHsbkmNdvayhyWSdlo6AUKzFrav5+ZeH1FavnBM+ruFm5O7OQQVBWUS2kW7r65e3dkYWETS1Fz17foWE8k93qwyAGiJ0kdGuFiwXCL2tPA3/ncA0kgEIBxkRICtp2VgD2Gfpg55ybaYBpSPrkzBBy7V+nynHhPFsxlyJBeHnpzSLytK6uX0KFiityE/jORXExJA16bC0LmDl39rvk3niLlUrJ35+POOc/0W+QjEvyRvtGwHthA05nP11B1QIAWAe6Z18/FSZdMR9qWbCw65wUhCdMrsuC+s8HMMMVITGdmmn54j7+/tHqRTsbcQPeuLqtH4tp0zL14inhA+N+PXvq29nAHF1u8/PPd8B0hN+pIvrrfvvQLtv03ccCsXSWcKoCnF/grHkl9kKXIJDDz0ivEE23dxmht7hCAGXvyGKSl9clHqJ/Jy98ZlvW1oj2nbwQ+Si1Q/jaYEruhfiIgu/fjmzF+bry8B/wmUBJm9Zd9CvycK4oGmhTvTnxBG7I9kn3/3Su/Yel9moohwzFusmrL+kLNfP+5cbrm2Usx8dSxw7nEIR0zCrAOqdv+dSeNAqx/3ZAN3eCXFr6tU09L/4zYmZGiP0XPVE5iLiKnhInIJz+WuXsLJBuLopgMNfHDzgwleqnU2TYMMVAVvHSfLs+D9yJx28HPA831TTDr6RLvxpTzp6GlvRuW3o7Yqio9EudiBeyvEoDn4uOMluYOFBdp+F9cJKzMAFMrSxTmVCAk2ls4VdSbIpfF2d8DBYV1MDEzhV+Iu47ulb2DFcwsTGDe1iIZlPvTSyTlnjt2AhvyraKmhslulVmIaiOB3zvUS8CTvimq4gyrMlR5sL1LPDbc1ZfmVcMjwBndBw8KX4vcMHtXO0nHZwiNHDR60cwszbBvd5+UAQs9e4d4oaWxRbhMCvF4ODXfCHg4RsoC/eg3d+PEC6fi1Vs+xl9faDJI1UbA6uxgobPA8ncCP/YNw3qGTOEMfZL1hhRaZp2+hZF3iDeEYJzhv9c2Pa2RnGhuEz2kd+74RMK3akK3cm2RFrhUt/7f70v/FvkP6qrpW1VJHRLXpWPLH3uxc7UuQJw4PQTn3DgH4+aMGfrlOEJH0EvCrDl6o1juJ2py+ICJCOTwUXdL4TkSZFFaQQEkDLOyf+ldpZ4cqyWQW5W1txjWdpawtbeU2pfUgDP1cUNlaQMsLM0Q7GOLigOdqK1qhJeHLUo2JunUAlUenZpV6pCjOgxML+1gWXVMDLjw3vkIiPYTfhnBpH7dU+U+ipYZ/5/j+sSP98l35kgZ65ZSYFUtTDvQvUjWn3bOREw7ayKeu/wNncOufeFyKSV1JO3/A8B67rnn8PDDD+OOO+7Aa6+9diS787i99ijAOm6H5tAaxg/3Uxe8rJNxpX8lLqaUR+DCTDFPZhQqO2eCCy6S9LBIXbwANyF9K4Ve1dciEFMT4pXfeK3c5CKpxVdZXCMAg+Ru3sct0hflPn2ZWDY2FjDfmoYDVQ0iuElPyJg5CZKlmKgqEUMQmNlbS5Fp9jFnTEFadhVcrEwkm5EnNta3oCinHJExnshYmyzXImh0D3BFZWFfRhW9diSXE1AQ/BkyNS+KQNPG0VoEQum9YiIAQzf0fLF/ygprpEwOgZujmy1yE3PhF+EtGZnkdZF/RRBGno0hLTJmlTGjsKOlHWNmxUpYRTGCLIYKRcR0T/6AWV/sc5an+aroXfEUPDj/JSRt6K97xuuGxvoga2vfczNE/Ni39wgX576TnxROGAnqklFpaykkc8p2MDuQte6W5bwpAJde0Of/84b0A4su3/fxLdJsSlqQ/8cQJhMKqN2lv+ix/+ydbbHg/nMk5Pr7+3/jh9d+x+e5bwlwUIxt2PLnXrz78Leoq+ovXBoY4op9W9JlzrK24ZQzxx/ai3MIZ636ajOSN2eJQG1nayuye71F9AhpQri1A4IVjif7hOCUoIMlelj5gJ5Lbn4I/gm2+f+uAR5I2pIrvMmYcf5I7iWq+8f4ocfLCxatTWhgskZ+OUKmRqLJ1Br2jpYo3ZCkU+dSecSzbp6Hix88F4sXvCKbKAJgem5Ou+Zk2Uzx+2HIOE6Lf3tIEmT4Xl0VfpuOHpf+OTz+7FtPE3V8Puc9H92MU6/uX1JtqK6nJhc9YnwHKf763/f/lqoN9DRx40dvMfXDlj3+zbDCgawkwMSBJ3+6X65370mLwGoOSjIC7/XKuiclpH+k7FgArACGCC0th/1I3W1tKDzEEOHOnTuxYMEC2NvbSxm9UYA17G7/9xx4NCfx8dIrFAr99LGvRUSTsgBqo6vezc8V3V1dkvbOBZnhqoyt2Rh7cpx4NQiY6NEhIKouJnDQvQYXXltnGwnXcIHgYlJRUCkeG+5Yo2dGw9TSAh1NLcjYnCnhM4IZJQPPI9YfVhMjcLCrB0W9WWD+tXUo2dPHowoeEwDuRglS+PFnOMzawRrmlhbyQSRpOmDeZJQU1SAq2FnLYYmcEAyj9nZkbskQQMgPJNtEwj/Dn4oyN/uEsgl8FqUEjaHFYc/qVFlI6J1ROCpKEVwS2rng0ZO3L7UEQVFeKMgoQ+SEIOz4PVH4WCxqXV3CBdRKgCx3zQy1KX3KsKW5lYV4tijuyNJDbr6uOmFY9gGBbvKGDGnLYAWema5/02sLJVPvnnnPIiep0OC05HV8/R3FM0Iy/ourFskz3jH9EcmqJEdNzT3jwk/AQP4Xwc+XBe/Kdb9+4SfsWLFHANarG55CSHyg9n4Ea+/c+YnMKXd/N6z7ZrPBthDsj5sbj10rk4QAf8lD5+oc9/Xrf2LZ87/1Kz6sHBQS4YGsDRpAetfSG0XL6mjZ8wvfw7rvt8vthNRfXo22pjatFthg8gt8L9j3taX1IM+N4WaGiAkcPILc0dPVo+U2EgS5RwWgurQeYawasEnjwUuYGy98yezeOo36z62osev/nR6rpXtfEV2vPz9ei+XP/oh3El+Ao5sDNv+8A0+c91K/LqRXmuWHlEzM1E0ZeOnqt/sBLCZ+EHwrCSMEVFc/c4mEiSefOW7Eiuicq58/+R3o3bRztpX3MO6E6H6yFMMdc4bVFz5zCc64fq72FHr8uTngRuLFq94Wnibfu48zXh/uZUd83NFcm5R7BTz/zMgB1oOPjDiLkKWOxo0bh3feeQdPP/00EhISRgHWiGfIv+CEozmJj5fu6Og4iNdueB8FKUXC1aHR+0OegeLF8Yv0Fg8VF1GqqHPRpEI0P4r8QBI46XscyN2ijg8Vt7l4ciEhCOPOlLwkhhVaYYqCXt2kkBhvFGxOEV4Slce5QNPi58QjN7kQgXMTsLe3VMuYQGekffS3tgvVoTECGBJyIyaHCS+KYRXqdgVMjhTytIWFCbISNc9paWWGwEAnUUInV0mtmxQ9LRzdnd0S0iIgUJPzDY0dARTBHb1cBEBKOIfHcsdMrw/FIo1NTESWgV4+CpAyC6y2oh5+UX4oyi6HvZs9jLu7kNmru0XAR3I4OWUsncNn00+Zp3eDRnkDJVzDfufCyDI56nI2aq4Lz+FOPC9Lo+KtNgKZafPHwzvYHbaO1ihKKUD4+BDxLl1471lyKJ+DHBYCdH3jvKA36ZpnLwPL19CYKffrOytlzry14/l+RGby0Xhf8lxum/oQZl88E5NOH4uf3/wDqz5fLyCY4TIu9LlJhXh9yzNgCFZtTQ0t2Ls5GwEs8r0uHWOmh2PFZ5uw7qedokQe4OeA9I0Z0jb260urn9Cezr8l/p0s40TQS64b5+trm58e8UJvaI7QQ/fExW+It5YWPTkEKav3aseT75ah8KhyLSVrLXRckISMeTwLeKslO5Rj406OR0lhrXh57SyN5P2WAu7u9mhpaO2XJMGNz5QzxuPzp74z+Gl6P+llcCOz5Zed4imj9AJ1yBbriZhyft3y+tWie6XohHHzc6n/jQbBPvl/7Pe3b/9Ye18WS2ZofKTGtu/6a69UeFCXjoqdHoHUzf0LVxu6Pt+3BfeeJZus8+48E2Nnx+p4SPXP4UbgmUteE8/eN2UfHDFy/tFcm7QA67lDAFgPPYL9+/eLJ0oxljHiPwPZlVdeCWdnZyxZsgSzZs0aBVgjnfj/luOP5iQ+nvqEu77lz/2E7b8niqfKUEo/F3EuNpQCIGE8dGo0irLLpIyI4+QwdKbmI2ebpnQMAc++pHy4+LigsbrPA8PfyONibULXEG8kJ2mEH5nRFRTsjI7aBk2NuTH+sHfWiPUxrNRlbYH9ThoFZytLM5hsTkFrLwBjuR7uvAk8TMxNYGxkzBxESWX3CPAQcBc+PRp7NmvIuzGTQ5C6JRt+wW5Simf3yiTth5+gKn1LtpDBuTDRc0QPHcEVvQXcqTLMSR4TNatoino7wUbWjn3i+SIAICCl0evF/lV26FRW53UZDmRobceK3fAKcoelo530p6m1ldwzYowfaoqrYOdsh672Dm32Ij/k5ODQu0VeC0FDfnKRiEAaMo5FZ2cXQhOCMPmMcbJI0lupKbPTiU8XfYM9m/bpKIUHxfrivvevQ3Cs34DTlNIVb97yEVZ+qiuJoJzAkMplj5yPqfMnyJ+6urpwsc8NItlx5/s3iHDnSKw0t1wyEBkKprYSxUWHI+iYvi0b1Cda+sg32PXfnTJPCPDoieT5XxRoSusQWJF8TZFPtT305R2YfcmMkTR1wGP/+nITPlv8I6p7s0R5oLMzk0jMpVRNaEKg8AMZGtdXw+F7xvHiv+nx4QaGemjkNRkybjQ4jxJmj0HK+lRtySd6ycj1I1hX29K9LyMvuUhCuIbsqsUXy3gqXlFyL6mkr5SS4jmcmwReVz55kc4lGM6+LvYug/yuW15fKOHiF654U8Ab7exbThVx0pEY5+NjZ72APav7i+EqPMihrscNyYJ7z5YNwXCFSlkuiWWTKKGxNPkVCYkfCTuaa5MWYD17CADr4Uf6Pf6iRYvwxBN9Gxn1AV9//TWeeeYZMETIckajAGtUB+tIvD/H/JpfPvODQU8EG8ZFjUKXSvYcXe+eE6JgaWkKWJmLZ8nO0gR+duboKKxA3s594u2wtLNA8jpNmRSa4nlheIkk7tg5CWhqbIeFuTFSVyUJ6CCBm7XCCNDoMUuYHQcjZv51dgMk6ZqboXJlotQ+Y/o5leOVKRk/Kxp7e+/H8BRDfkWZpQgcFyqp6U5CMu9EU00jTLsPagCTu702FMjdqxC3a5u0C5myE46dESFE4fK8SgEz3NlSbbowfb82PMbFiwD1YNtBIcXrPzf/nyr09ADUlNQielaceLBsCJgsTZG9uwDNLX2Fb129neAb6IqWOnoPW4QrRQ8SjQssQ7UErMamxgIc6DGgN4D/riiqktAt+/yVtU9qtXnYV7zW359vwGeLvhHOU2l+JezcncXLduPzl8LD32VILR96MCnEqM4uU573ljcW4oP7PxcSe9i4YPkz77v2680C8g6VuEwwqSkYPLCCuv6LxFAROT2KQCd/Zw1KJbuVnkduGgYqJ/TsiocPKzusurRW+HQfPv49ylW8PqWdsVNCsXdVkoT/CFYYBq4pqRMNN3WI2tAHQtkQDPbxYHIFAT03NZEnxEpGcEVOsVbcVTmXgIbAZtNP27H+u61IXp8myQNpmzOl7+htfXlN3yJJwLsw6k7RNCNYpj5X+rYsLP7lQZ3mUOuKY/DLW3/2A408kB5LcuFYa/LuEx6X94ZesLe2Pyee7uEavwcLvK7TOZxhWGYOT5yXoKmTaGoMWydb/Pjaf7H9993yvPSWfvLocuGT3bV05DUjWVqMm4xF398rm6kjZccCYAU+M3KAVfDI8D1Y9HRNmDABf/31F+Lj46XrRgHWKMA6Uu/QMbsuQwwvXPGG1OIjV4qLGD1A/LCyQC/5H9wZsmQMvSFmVhbIKGpChJ8tugO9kJrXRwgf62WLjsJy0cQiYGFW3IHqRjB0wx0iwxS5uwvQ0oUSY9MAACAASURBVNQqH1wCBe8gD/KhJSxJ4MXjSELm/QmCyMlithJJq1W9pXfIBaP8AkEWf2fYksd6BLnBxdOJ22kBIyY21kjdXSQlfqyszLQaU85udmgurxZAxFp39HQwG48LHYGdlG6ZGSUkc0NK6Pp6Q8rg0cNA75Wa+0TgyH6kZ43XZju523cN9dVZ2AMivWBiYY68VI3GEJMKQiLcRaSVxmxOAjwCXPZP1i6W7DBcF42cMSrqL/rhPlGAZ7/S60P17K+e/VHrUVMyRK976QosUOlMEUDxOeghSfxrrwA4LqL0/nBh4gJ70/j7dbhXbKPCi2K2GLlg+pl/R3OSK58qarzlqIQ3mbRA7aPBjLpbZ918iswrQyVX8lOLJPzNsNpA9tSFL0stQFpwfCCK8mt0BHsFYJgYw6ynU0AvC29zXBnOYziUHk5mCjDUrfYUKfdT5BMI7E+6eIYABUPhwknzJ6CiugUlRfWwtDFHgJuFeMnURg8MvXXMrKRkC8ngBHhK2JIisSR5q43SEhTj9YsgiCNloBWegbqlgdiet277SEeSQb+/6ElkiRmOFzNJf3vvL0lkeOGvx4c9XXjuGdaXaUPkrAl4+eMXGBQr5bGrPt+A2ZfOkO/czj+TpFi3epyZlfnf9/7GlPnjdYpn6zeIdAZWYWAh6SNpxwRgPX0IAOvR4XOwfv75Z5x77rk6fUdPN8eB61B7e/sR79cjOWaHcu3RLMJD6bXj/ByGBbjTpgAmeSIMZ9FrRU8BBS0JFibMI7F4r3iFuLhETInAQTcnpJYe0HoHokNcUfbXbvgHuQkwUQr50pvVYwTk7MoV0MLUfkd3O1QX18LexV5b54+hOIY19DPnGDLkQscQnGLkTOXuLZRsRnrWqMdF406VUhL0PAUmBKG2sVM0r/zDPdHV1iHCkuRVlRfVICDEFZ2t7SjdVyYZWQRX5MA4uNqLN4ehuJ1/JElYjSKEamOJF0pOGEpRV4MvPi+9B/uSCuR0ZmMyhEg+mKm9nWSO0djfkVdOQu73KWhpaBHAGTMpGFmb0+A5LRhFf2cgKI4leyrFO0iCLYEWFyeCVLabJHrFzrntNFxw93xk7crFMxcvkTHk4q2/ADMsRRB03l1nSOho0487ZDwYruHY00vCxZiZi5QBII+OYT964r5+9Xds/2mb9p7Mvrzo/nPEq8b+O1RP1XBfF5Y1UcrbGDqHJW8oCUAQrZhSL1OZL/rn0YN09dOXiGbTQMb7nue6UDYC591xhrZGIUNhJPL7hHgKF0g/4zRwbAj265Wj4T08ve1hZUNeY6OOnhrnMj1Ig9nCZy/BrAXTRaSTYb/FF77ST1A28qR47MvukxaJCHZE2sY+z7JyfUojvLRqkQC1n95cIRsOCVdPCpWQ9Kvrnhru0Mhx5NQ9fNoz/byc9HpxEVUEPRlW/6pII3BLwLLA81oBnp9mvSHPNRzjGJ/tcIX20EeW39mvQPhwrqMcw/fm1kkP4trnL8dF9xuWYFCDgZFc+1COPSYAa/EhAKzHhg+wGhsbUVio+129+uqrERkZiQceeACxsbGH0lX/6nNGAda/evh0G89w0o+vr8DHD38J1jZrb+uQsJK1rZV8VLmrJtiilANDhAQ4XFSKs0pFdsB1RizaapvQ7WCL9Nwq+NZUozS1SFz7zOJLXpcm12XWII/njp+gi54yknTjT4qRMjs0AiZ+kJn27R3sIVIDNIIeltbJ3pkr2VIsb0JNnrgZkWhv02j/0LioG7F0YQ+Qn7ofoTNikZWkIRNTC8jHxx7mZsZI3ZAuQEJTD7FTm0JOUKevI+Xq6yz3J9eFXic1cZYLDzOHSDLWNxaEZXamIWFV7viZfZWzJx8xc8aivrweNh5O6IlzxZ+mtZhi64JOEyPkH2yGOWuW9FpUhwXsN+4XbxKzJJVSM8rv9Ayy70iAprzD9HMnYfeqZFQW1eDXt/80OGvDJwRLLcYlGxfLTp6K4s6eTgJwKbfAsSdXi3wl8lhE/mFahHZsYs87AWhrQ+mebFGLV4MBnv9ByquHRFamh4HZaRSdHXdy3IBv3N0nPo4X/n4MZuasUKmxHX/sEbFShiYJEpmZqGR+0luX3uu5GX9KPGKmReLLp7/XlkVhgeRLHzlPQlRD2ZqvNopMBLM8X1qzSObUNTF3CZDlnCHXTB2WlDk6KUxU5Qn2bWwtBLxQaoPtU4tXKvcm34+e2LryenmP6KlVVP55DIHJZ7lvaUOmDKE+Ov957Pxjj07zI2bFIzenD2AFBLkgd1N/rhK5bSdcOEVCf/o2XKFX/fOocfb+3cvw+wertD9xU8Qw8iOnPyscS4bW3trxnHjCuPl47KznZTN3+WMX9ONzDTQu+mLJz698dFCQPNT4Ujrk4dOflcNYhWDmeYaLjrPPj0ZJn/9FgGVoDEZDhKMhwqHezeP+d3Is1n+7WTw7XLAVY3iLJSwYmuIOU8mEo6eEwIrghSCIRG3ypJI3ZQgx13xcOEw7u9CZXSSAh8RsekoYVlK8P0zb5oeUize9HyyGTA4TFw/ynnhtEzNj+Ef6SniCIQINobZHiNxGMBIQQFAYd2K07HDbm9sllML20nvAUCRT2GNmx2PXBg2JN3JsAEy6u5C2IVVK6FBlXjxypyZg159JCIoPgC3vD81CxkWNHjZ6pggIo6doBCD1ldL5/+wfQx4seqOsbK1koS/JKdcKQrI9VHvO2JaF8KlRSMqs1n6cPW+Kx9aGSp25E+TgAPvPU1C7VxMypFeIi/9AZUpueOUKSSenh2DxRa9i22+JCI7z1xGJVG7ABZsclUe+vhO/vfsXvn/lNylgS88cF3GGpeitIgGc4RKGHBP/SkZIfIB4DmljLjgB6alliIn1Qtp/t6GzrUOn/bzH9S/+BwwvDWa8PrlzTLIg72fb74kCzh9efidmnNu3sHFuUkuJwGLKmRPkOSk2S4FXkqvZN8xYW7F0lYSrrnnuMtw84QGt99HG0QaB0b6Yt/AknLZQI8/w27sr8eFDXwoPiCKSIzHqK61ZvhGegRoQunedZrNAgjm9iYoQqHJNcr9c/FyRuj6t32/692VojgCXXDG+iwT3hhTUH/v2bpxwwVQ5nXxAPq96I8AwY3lTj04mKd8rJ+MOkVWh0fPo4ecqm6rIKeF4Wi8zkMcQyHkFDe1NKi+oxJ8frcGZN50i7xPfzb8/Wy/ZpoopJWVY4PrKsNsk/Pn65qeFgkDj+3/XzMckHE2QPhS3iV6vO6c/ot108Pgfaz85rPASx478wuXP/yQizJSluX/ZrWBSjdrkG9XdfVj3Gs6cOxYAK+ipkXuw8h8fvgfL0HOPAqxRgDWc9+G4PYY7RKZMk1/Djy+9VOpdMUNC5Anx48YQAfWYikoaERDsCuOebtEXaqisFw8UCaqUFfCdnQCzphYk/7EbY2ZFCxhqqDkg3iZF+oAfKPK4/KJ8UdNmhCBfO22YgosJU+NJWOfHluCJnhPu2BlKUzwB3PkS0DDbycHFTur68f+58JC8y/8mV6vTzELAAgNmPLa7pwdddfVob24TcEaPB7ML+QyczhRpzNiaI+CKkgYaPa0sBMUFyEJIQMPf1P3EAR6My6PIOijeLII4gjlmH/IjXV/VICT3/PI2tLa0w/SWaOTUaUpwmPcAp1SYIm9lKvx93aTeGfuBAIF9bijlnPpBU+ZPkPYSGC0690UBjeqi0OpJSUHHix44G6/fuFQIv3xmehP0Q2dKjUWCb4Zzbb1cUFjVBgsLTfHfsmJNm338ndFTUYmivX2K8/z7mTfMxR3vXq+9NUnBW37ZgUe/1hT53fjjdiHbkwytNgJsqszbOdlq/0wQffP4+2VsOX6KxhgP4Pgw/McMRfbvzpVJ2PLzDuxenYLSfeXaa8y6eDoe/vIOLd+GoIRp9tR5GomV7CvD8md/Ql5KoQ6/S7mGIU0rCn22HmhF1f4+zqL+PQnOuJlRK/crxyh1L9Xn3PTqVTjvzjPE80NO1NMXLdGCN86VwKkxKCrQhKHVFj/OFz0trVJmilmlSpbrQFpcH2e+Br9wcsIGt1eufRd/frxGMjfpfWOIjx5vJUzLWn2nXDlLS2B/7OznZSNw53vXS/YeqQB8J8nvY+j//k9v1cp8DHRnAnOWmPrx9d+1hzCR5omf7odvWH+V/6GeQf93eivfu2eZUAde27RYG5ZmO5VsQ0M8vZHeZ7DjjwnAevLZEetg5S96eMQ6WP9kP/3brzUaIvwXjyAXMfKnXrziTa3SeujYQAktcQfu7O2E4gx6ltoF4AjJdc44ZO/VhNooXeDtaYMDFfUiVcCPCr079FRwEWM4h+nuDI0xDEgPCYnmBCjcVXqFeaGgpBnNTW0YP85buEYiplnfIgApvZcXwswuFgu2d7UVQU3FY0PwRyDEbCBypggKWFsvKNZfW2bEN9IXNQ0d4olTzM3HCZ7u1ujq6AJ3zWaW5kIkVhtlKLJ35YHimwyFhU8I1YoTDgSkCEKpOq/m+PCabB+VovesSRWCPMNllH9QPBpK6JDcqfDJYShtBDLPcEJzh6bN/p2m6Hlug4RlCRrJ9aAchCINoT8F5980T8KoVENnDbcflvyOpLWpBjP8eC5DWB+mLcEXi78XbwO9iwRWai0zgjQCXWY7ksCsaGnFnzMdaZm6njZ1e4LDPZDz22ZtxhiJ7l8WviueutVfbMBv7/8tXrCw8SH44qnvxEs4kLHv3t/TpxL+3t2fisjoxFMThJjMkCTJ9iSSK33LPv0wdYl4uZTFXn19Put7u/uEMblAfvfyr1IXcTjGsCs9eH98uEpTPmlKmOio6Zt+hh89uZx7+kWw1eexv+lBpOyGvg10nze3PYvISf/H3ndAR1V9X++QQkgjjRASUoCQHnqXXlQQEbEiKiCgCEgRRIoivSq9V6miSBERUem9SAuQAAmQAoQaQhqhhW/tM7zJm8lMMimAv/+XsxYLmNfuu+++d/c9Z599Kgr/qnfdITqHBdULRFRsVr1K9UY3TyfYPk5H1FNNOG4j55CJEdHHNXxBGr8P9MYO+7W/hLbVRs8N329y9WLOXJb3hV69nErn6BftZihuRq9Fcp3KjUMlgYJGnhufn1/V8vhgSLtcH01s5GV8+/p4nTHPMDCFTqu/XEnCqAUBQQT3XYL7irJ8zxld5HtlqpRDro03YYcXArCG5wNgDS8CWCY8TqO7FAGsgvTeCzyWob1ZvRcJt4HKxtHHL8oHh2GBRwQjRE+0pzxpfjzpAXlc3BrRpzQhKr+wsji7/QSC6wVo1dAJPqgBxdUmyegZqfeRcjtFaqKVsCuOU3vOStkWhm5KlnLEldv3UdbLEXcuXZUVYUnXkjh+RBNyCqlZDomx12FpVUxU42kMT3I1ygn60aNH4mWxtLQQEUhOVgQLIY1C8eDRE2Tce4iLZzRtVRtLrDy8nShgiMZJ2M3LVcdrwomX90AhS4I2NX8qJ4VtQzwrySS8loTQ+lRnv6/lifHaEvpJyxByOsOpnHhjz16Fa+eaOGD7AI8yM1E7xRJXp+6StiphQZK56VXTN4KQAYt6SIo7M6Gaf9QQn1UZIBl8inCs/jHdp3TC1agE7N9wRDTESJBXAAo9QfQ6xJ+7gpRE3TqD5HW5BPrg4N5ouJe2l/CgIStT1gmOxYHovadx7246XuvWHMl3UoWvFL4rQjhi+h4rXrP5hw1FpoBhVXpVmrSvL/IAihFMsX2c8NVGML112S7hkNGrRnDF8OLJHafx47CfZVeGoTkhUiZiyMrsHKPcXs3kRE1ZIIaFWRlAMUP3wm36BZIpl0FvYPvB7WQxM6fvkmzAPEePaP1AeU76yvwsokyZBGoxqYsnsw0Btf0RHZ8i3sb79zXyH2U8HeHiaI2H9zLg4GgjZHyR+LCykLGfjZgf6iW6eIsipkomrGIEUvMGLBWPsyJ8ym3qKgaG+pREekpfqHlzhcVj6t/kOxlf+kZPZ41XqmDIqj7Cp8yP0UP4fZfZ2LZiD5ZFzxTKAO158K94nRcBsMp/l3eAdXFEEcDKz/hSjikCWAXpvRd0LHlPg18drSMmSd4FAQpVutOS0sXToqzEldR9NjekRTUhi1es5IVb0ZdxM/amzqqdEwdBmZL5x5AYSfEsocKMOXKxnEs74eg/Gq5XpeaVcSUiTsJtzJJiqDLlPnAvXcPf8fEvDRsLDX+FEwrDHKEtqiI9MRmx4bHC/0q4dEOAlQKYuD3yaNaqW7+bOXm4u1jrFGPm8RQFVHScylfWgEPyORgaJfC5dCpWPDec1Flbj1mP+mYIfHEyr9umBuycbCTTkOVh6B2gMCg1kWiKJhh5RPTGMTzq074G9lawxGt3bZC07TziIrLCZkoWp/71FUBCD8fI377G2A+mikeHnCnKQzA8w35mPzIMKzpSVhbSDn1wyBAbgRXDNFTSJ7+NIJwegOuxt7A4QlOAld6x+KgEhEfcxKGdZ1GxTAlcPnkRHsHeyLibBoo+2rk4wMGzFML/OCQlceipIq/LkDEBYnHk1ALzWHb9sh9/Lt4uvEKCGd4zw8eUx6j5SlUZL1xHdJ/cKU9vIoHLilFrjOpSqetQKicmwKJHsPH79eBR3l0y+3pM7aQNL3Xw/Vy4UgpYY/IAM0NZdsiYsZ840avrZHJfksGpMcYxpBi5T1WbV5Ix/+hRphR35kLI099D+G3+Nf3wJDNT4yF99BjxZ69KookalDOsnZ6aIWNGrQfG83Cc7dugEQZl4ga9WNR0U94HJYmE48+qhJVQDjjm6HWmIGdetMxye1hMbGC/UKxUXbJJ/zgufAgiGUbW98bldg1uP7T5GL5pPU5C1w3frlMgj5gp11Pv80IA1rB8AKyRRQArr89WvX8RwCpI7z3HY7la50TIFdc/y3Zmy2hyLuMoHCx+lAkcCAAIlDgx0LvADz63ufh7ywf2wr7TOq1nCn6Z8m6SLUhwRVIvf/MO9hTyMZXPGd5LupUs3hSCDsUrJQDjqcYUQ5E37z6SjxX/lCltAzsHawFXDBXet7NH1OUUhHrYIPzPfyXzkAKbZQM8EXM6DsVti+OJrZ0IiOobCdoknPv6uSH25EXx1rBmG0N49CLZO9pJaJGTrl+18sKlYZhG8RKQC6NWtedKmERl6nGxDQQgFDR19dQAJILUjsPfk3ZTEkExlt3gRHd0azi2r9wrnhRmuSkq3JzIvIPLCojLsDRDsWqeuLHhLO5euKx9bgSEUhT4brpOP/IaVMJm6GXBV8u1yup8Fl5BnpraikeixcvA+m40Zq8RdLGMDo0eHykarCpkTW8KeU7MHuN2Q14G3seD+48wu/dibF6YlSXGcxLA34y7JZMrJ15jxnN3Hd+hUPWymDm4fvpmnUuyrA61ngjsOfZMMYJNipSSgJ8T9VTh2xGIk8tEr44CNGYdGS+yGvq2dsomNGn/EgY0GS6hRr6P6vJKxtpH4VD9xAl9gMdzcbwQ3HPMlmciSnFLTYajTXFEHo6W7QTRbCvD9xWq+koVhJO7NER9mlq4lwuCoT/1E28XQ5FcOClkegJZnoNadwz1ESTSg8vQcvWXq0ilgvcHvylyIbRp+8aY0v0m7UOvbp+Xvsm2L8ODJ7aflvaInt5T6gN3ZPFqjoHG7+WtmkCv2oNkPA9f95VwA58HuV25sRcCsL4dC/M8FHt+nJGBi6OKAJZJA9fITkUAqyC995yOZebRwkErtCtM5bL82HIFyfT363G3kPnosUysBDb8CJEPxQmZ3BZ6brjtiVkxlK7oifN7Tsvkrp5oyL2ilAHPQ5RCLpeSIk4g9DDjgZT+4ET9+GGmTlFifrDpSYmNSULynXQRAmVB4bP7IiTDj94k61IlcfSChkMioMDDBua2JWCRkiJ8D66KKZMQ2qQSLpy7ppM9RWDl7GCJkk52IipJEMW2cIJQjKCD+7FtDNcxlEktIq66acZCgwRPDP3xXOwvhhdD6gZI6nluFn38Eq5EX5M6brvXHNDuHljbTwAu+0RAUdRtlPZ0RFJMgoTW1Mb75sedwJieitqvVZcEAjUXTAGwPFelxiE48bSECPlPBIYKr40ex1N7NQCZz4T/pwwGJyTvkLIY8/vg3G5JtlMyQa1fZkg7jG118XCGf80KqNI4FHVaV5PCzoVt5El9/fIo7WnZF9/vGG5SOId8N3Lx/lqyQ7x5HBeGRD55cgrwMqxJdXACl3pv1MDn1b8WrxQ9ivRgURfsrX6tjd4iFe/PHDiXTfgzpz5R16Lk+6fvWeU41hcSVUKW7AsCLXrL6HmKi7wqY4gSEvRM8T74HBnKpneLkifKO8NvB0P9+l4ijkezYsVQytNZuGBsU9WmYfL+8A+vzVAaVeK5oGLZpoIavVakPLCP9eUwyJPqv6gHGNblu8prkwCvLoPEZJh+8z4Dsx73rD0oxPtW3ZrnmLFITliNlyuj0bv1pPmFFdo0pS9eCMD6Jh8Aa3QRwDLleRrbpwhgFaT3nvGx5FktG/4z9q49BEuuXMN8JOWZxgmcWlL8GPGDyo+eY+mSMikTWHE1Sm0llmdRFNhP79Ec61TGCR4V3HDheIyQky8cvyTEa4agyGUi2KD3R1F9pleHXAd6ikiGP7NXU25DMcVLRL7G7WtJ8KsdKIDu5JZ/xUtDEEKCvBNLXfj7IiLyOkqXKQlXR2ucWr1DeDlMidfhSanChPSg2RcHrl+8Lhl1XEk7uZXUygvoPwYWs3Yt64rjW8NlEwETAQgBqaGQA/lT5EZxG2u08b4JPKkhZarRc3Zo01HxoBWzMNdy2ng8azjefaDhxPkFlUFG4l2ZCFgwWzFOjgzx0iunn3HG8GAJW2sJS/EZewR54+aFq0KUp9eMHiWuxP2rl5fnz7ZTIZ6p8sycpLGI7f6N/0rGXW7GunQj3/lBEh0Yxhq+dgA8AzzQ0a+XdvKnl2PcX99KiaGCkI1zawvBPFP/1YKqTPUnVyono9Du0m9X48bl2zj2j2Yc0AzVseO4LVnKQYoCs6KAUjdz8dBVUtNTMWZ99pza2WgWHCfoxUN/wobpm3XC94bayWdKoKeAHY5rllzSXwTQ60pvqbrAN89HzxeBBt/ZqOMX4RvshRIOJUTbjtm6igeYwJALKXIdGVJlogXb6ehqb7RgMsGKp787Yk5pQtp85xedmWISoM3pmXARyAWPf7UsQHbxVJxkhjb7oD6+fX2cToF2notgtvsPHbOdls+3s39vrbipoeuyXM/YP4aYpIPG4/+vk9zLFwGs3D43hb69CGAVepcWzgkJrvo3GiYfRsUIpELqBwqnhpOGfhab+soENlKf7QkkzMEP8o342yhb0R3mFhYSClMIpHS/K/pZrB3IUASNwKlqs1Cppebq5SI6U+Q80EgcVyykUQgeWdsgLT4B16IS4PdaXVgVA8xS05F6+66oq/OjTaAV8l4TFDMDTv+8U1O+pmGQhAXvJFCg0Bp3b6ciLuKyhqTbKAzFnjxBzMlLSL6ZRUSmKjcnCUOFYNkmTpjsIyVkRw8A+UKKQKWxJ8Rr0jNC75UxY5tZh43ZYVzV61vMmThsnPWXlAdRzMHVAeVr+uPW9WRci9fwvsoHlsbV0zFa3hl/q968EuLPX9W2k8+IIUyCKwVYk2tzJ+UhEm8kSxLBvVtJ4qXgOGFYk2CSyuUsF6QPfFLvpsGuZFao09A9Rh65gIFNvpOJiyFShpFIhqbWGkNCao8nOXktPmokGmds57Oy4e0mar239Losjpxm9FIEmPQkbl2xW6tjpd6ZoS8dz2DDIJ1sztG/DxIPIo19MLD5CAm9UzuJRrA/aEVvHT0v/s6SRYuGrBLvbk5GXlxqUirSkzMkzM6yLORKSgg/OkHeEzW3jcCP7y4Fg6m5xjqANAIxeoEJpFguJ/VOukgp0JvJZJTDf56Q/Xgs+Vjq58ZrGMsMZDtIB1Dzv3geJluQX1m5UQjaD34zX4/6QngcvnptArqOfAeN2tXS6OVRu2zBNslI1Vej50JnzB9DdMLz6gt//8lsneLk1OOrxHCxmZnoofF9J//0w2/fkXcrN+Mi81mXyFHa8EI8WEPz4cEaU+TBym3c5LS9CGAVpPee0bEKwZNlQdSmVRRnGGh3VnYNP6LM4COgoLYOJQvKBnoI2Z0faJhBsvSQqcniIzdHHZZgJhD5DTT+zuw7enMI6KgpdWr3Wak5yEzCS+Gxwv+h98wr2EuKNd+3tcPVa6mwKm4B6xJWUt/Qs5QtLh67iPIhnog+GIHHGQ9R+Y06iIxPgWVcPFJu3JWQDD1jDGUo4IfcMd4DVdmTbyaLJ45hCIVPxBU9PSsElxQy5Kpf7d1g28gXUWtcURWeoUP9jCr9x1e/XW0MW9M/GzChcCYVtVmnjmnolBSYsnskrO2tkZGSIRMP+XH0hP08cYMQn+lFYzuesPMtrbSFgQn2Io5pMipt7KyQGndNyxGjh4/gkH1PUMxJjp4/nlcp7cPw6aVj0VL0lmBDeW48HwHxwtOTRUE7r8b+XDX9b/y8ZB98HYDLEfFST45AlSR3Ft5VvH+aIt4MR10WgMjxY+tQAt/+0t9kb0Fu7WN7Ni/cJqFXKW6cnC4abgS1737VRhIM9I1SAJRc6N/4uxxPT88GC3hzbFHsVm0k56v7j4sUehU3TP9TtJNoBFwLTv2gnYwJXpjyz98j9p8TgKJvXPCQu8TkAvU16R0iGZ0yIJRnYMao2qhgTrBOUNR/4edYM2kjyAGkIOsrnZpg64pdAuhpSvkjReuMz4s8Mo5PU43vmlreQzlOnRFJDibvlWCU44PGpAd6iTkWyA8zZHx+H4cMwO2EJHkfQ+pUFG+WR3k3zBuyGmV8S8Gy2BOp1cnFAYs1s2izMSMg7eTfWzY3eLsOBq/orc1mJCeT7/vm+f/I379cWyj7kR9Hvho99fqmgFD+zW8M6Qoc57l5S03tW/V+LwJgVRiSd4B1YWwRwMrP81WOKQJYzJtjHwAAIABJREFUBem9Z3AsJwkKJXIS1zfF00R9KgImghuGA6jHQ8V0cq0YumOGGsNG/JAk3UwR5W5OWHdvJMvKlZM3gZQS6mO4kStqTqT0htg62aKYmZlMbOQLcVXOiZ4fG/4/LTldCLxhLaogMl439b+EjRVKFXsAS1sbxJ5LkBV1pbp+UqCY/+bHOfZYlITr+JHmBEaCOJW6r8XclAmbXDHyUNTK2SIlceCcpGfTk6YY+SIEjbwv5zJOOoBD2cevenkpXZJ49Y54xggcDfFwJu8amY0wTQ2tOf2WSOhCzUNith/7Wl102NBwCGtaGRGHNeV/aOzHpJT7wpFiyNXPzxVRUuTZOHGcMhR8vvau9og9HSf9w3vIfJQpWWFsAwnfA5d9gZqvVMnXqCSYmdV3CTwaVsNng1rBxakEfEO9ZaJTNJk4cfee3RXTPl+QTV6AF1W4MvlqgOogejrJmdow889sp+KYJqmaz0IxeqRIyl8y9Ccd3p6xdrh5uYg3V22cRCma+WqXpkYLCnevxkLbsXin/+uShGDIJnScIYWHFaPGF8cay+9M6jxLklQUIyl+0PLe2uuRO8TQrGKvftIUX8zqiqTrSTi19yyafdBAu40JIZM+ma2VDOGz4eKDiyMaw+3MMiVYys2rpr4PLkb0QSfHGj3YDDsrRm/ZrCMTRB+P5YkObPxXNlFclGF2QwCG20d8MANRJ2Jw64pG0NaQ+QZ74o2uTdCyS9NchxJBLxMM6Jn8cuHn2mxAQ+E+emFHvzdZslFrtaom8i5Us3934Bs6XC0Wiu9Tb6hcm/fOLEWC2cK0IoBVmL353z1XEcD6Dz0bAqXBLcdkyyqTD2bDIMnm4QrZEOmV+9CjQc8GPRnkYpDXQS8KMwPJC2KoiSEOybjzdMGdR0DJe+kibaCEJZixxEmVHqDQBkH0v4hStZVNcfEylSrrDCc3R5lgKQboXNkfKakPkJxyH7Z21rC/n4JrZ+NRoUo5WDo64PyJOJTxctJJiSfIsMh8qJVU4P+5IifoSrqu4SEROHJiYFv4O4ERy+LYs9J9sWICEjkR00h4F8X2QIZDstcS5D5cgd+IuyneIIZWuELlapvkYU4WTd6vj/ZD3pTz8KPK8ClDPkptRJ6D4JDeOaqwKx9fenOY0q4Y28n9KBnxkCn4CSmirq22Ko2CcSshESVLO+Hs8VgEVfVGZmqalC3i81KMpXl4T8x8ZH/iSaZkwNE4BujlYwYkMylJ8DW1kK6hIc9wGAFAn7mfwkGlts59SaDmhNNvwecCohh++XXKJh1Fde5HzyNDrPktCk1AzWxB1hzULxCutLmUlyvmHJuIxKuJMrkzZEX5DZaUIYDXN44fdXjMWKIDvR8skp2T/Tr5d/w88TdQq6p2q2rZdmWIqUd1TSkfTvgcC6M3DRYtMBFmXbkHLMROIxiauPU74RIq9tusLZj5xSL5r+h7reprkKS9f+MRLBq8UsYdgSb/5njjAknJ7GV4mYsR8vnoXaJnlLwverX4jvAd4Jhi4gq9fuwnhpf5foTvOiOeKQJXFhi/GB4jyuo5GcEK28IMSy4EGaI2ZFuW7UatVyrjz6W7sGLsbwazOWs0D8XotZrKALkZx+2wNyZo6QLUdmvT41VUaRKSDShz33bOnbS1KpVz8/vzdv82aPxePfGG8xmpM6S5H8s0vf9129yaY/L2FwKwBufDgzWuyINl8kM1sGMRwCpI7xXisUoYSk3I5enJiaKIHwENQQU/pqYKZYp0g4SLzHDmwHmRbnCuEYibSRm4//Ax/G2eIHKPbhFjeoMUkqyymlUmKWYSkohN0i2N5/epE4yTGw+hQtOqKFHCAuEbD4rwKUOY3iHeePikWDbuU4UQT5w/pBHZ5L4k2VPSgB9oToYk5SpldpQuZqiT4JDeG0UBnV4HTgj05vGY3DhWJPwSjXEF27r7y2jeoaFcj38UgUGuhleOWYvUO6nZiMVsi0L8V9pFMJhwQcNZ44RKmQJFi4u/OXi6ZStXw7DN3Zt3BTAzecHiySOk3UkTfh09h0S1VNS2ti0hkx2tlLergC+SotUSAAyzLo2aIaGnHav2ol3fVpL9SfDF/mKfkAyvBhn8jaA57uxV1GpZRWQpcjLy3Rgu0Q+VTOw8E/8s1Qio0gjwJvz9bb6B3tLvfsbK0Ws1/LvafvDy95A6lxyH03suwN2bKZLRR28kJ3SCF0UyYXDL0SK6qxj5YfRukiDNkCGfCce/UlZJ/345eXISzc24CKKSfzZx1IwHWPLNavGm8LoM7VGniWWA1OKVbzp3kkmcIGT8Fl05AlZl+LRSf2kCaykyo1HfCMInfDRdy4Hk4oOSIPyb1QUU47Nn0W+GFid2mimhdIVQz/6lwjtDelxcfPjdO8KBZNkhZultX7VXpEIIWtkvFC9WPDr67WG4lcKzL7WtZXJ4mGNx/6ZjGPXhLIPd3eP7DmjTzXhoUH0Qz8UsXnpx/166Qzzrc49PMpp4Mav3Ymya97dBMM5vCekKhrzbXIxxbBeWEOmLAFh+g/IOsKLHFwGs3L4JOW0vAlgF6b1COpap0lStZg05tbIzvRTUOqIniqtOuvxp5GwwnJaSmCr/50eUx9GDEBsZL9lvDPXxQ04vUCmvUpow4eMneOjtIaGtcr6lcGbNTvnoMpxAkMIPDD9WRBZcgTPlXhEU5XVIgGXITDEBevvPoay/J5xKO0itQnrCLK0tpDwIPUHelcsj9myWYCKLNRczeyIAjCtqRVxU3ZU8L0n0BHsEQ5QCICAhiFBzx3iMmpRv6HHwniis2a7Pa5LRyNBK+Uq+Bj/Afy7ahp2r9wmHhhMWJzN1++hRYuFrxUtGWQv2L5+DEu5k6E9t6hAhMzpZbzGgennRLlImPAlVlHWU8B+zvBTPnAJU+XHnNfk8CSjo3VFAtqLYTemKqs0qSZiY3CKrEpZo/mEj/PvXCeG60RPH9hJsEcRzNU+j0CsnJPLG8moEGwxJUQx0z68HMf3AWMnSy69R+DH0pQCRHVEI+pxA53+1HPQeqY3hPBYZVuzrV0bJs6KHlaFtAhxF5ZseMcqckF9kKPTOc5C/NPPQuHxnRLKdBCZMCuG4VSub8/x8dj+NXYdfvt8oTWahYSYIqO349lMY2Hyk/KTPBVP2+3vpTpDcTXkOZg2yn/gsea8KL5OAhzpVLFqdkZ6BlaPWiofr2LZw+cbom35fKts3zPhTpC0oYzCk5ZhsmZEsg9NjWuc8gQ5mz/4y6Tec2H4G1o52uBihkVBRjBpy328ZJEW8czL1gkGdzEGqgT741T8PdQHppVLCqbmNV3r2qJXFd6ewMmZfGMAqbp3b7Wq3P76fgSKAZXJ3GdyxCGAVrP8KfPTpvZEY+8E0ScFXJk06MULqBUrmmL46N70flBRgyRqupBmiYgiA3hlOzORe8YPAEAEzjPix54RK0jXTzwmQQhoEIyb+Lsr5OCLl5l0Jz1ENmiEWN59SuBF7U7wIJLZzsgqs6Qem7nOlzNAjTUl3F17WrVQE1Cgn1+M5FO0t7kfgcfWyJqQWXMMXkfvPaoEFPTHJt1N1tKy4HzlkFCYtVz8IsQfOycRJcMRVKvuIYVKCRHKYfEK8DIZUlQeTF9c+9aO+ajpCy/3S135Skgx4bjVXhX2gLkCsHhQUUL15I1XChtevasJ/IbUqICUxWSZFM3NzWFlZ4PzRaFQI9sSF4xcFLHMVTV4NJ7/bCYnY8dM+OZZFtgmACbIY9qR3iWFOnl8JVdKTRO9JbqR+ns9YGnxeBjZDewNbjBSScW7esLycl/v+8v1v+GXibzIO1abvAWJiCPuNfcbFgiFlb+5Dzyh1waitxTFGTiHB1Ter+8kC41kYwcCkT2bpePsYyhq+9iudy/2zfBcmdpwpMiu/p64w6BGiFtT0HgtBlXvKRngHecDWQQOOuQhhBmTHEe8ZvA2CjzYO2bljBA5fLempU8aIJ2C7+V0in4rVHCg/QUkFBZjw28OkCibY5GY8D4ucd686UDyQtNCGwYg8rlsUnL/z+7Hq3GThFSrGca5k+SmCoAUBOyzHxMxQ6pbp1x5V3wsXr/SmjtzwtXhN/6c9WF+PhXleAdaEIg9WbmM7p+1FAKsgvVfAY6my/H3nWeKNUszJvaQQLwma6EGiZ0IxTgA+QZ4CLrgiJkFcXYqDwIvnomdEqSHGUEBxW2spScgsP6pGFy/tiruJaQiqXBan/jkuH9b05HQhzT+8T02l4nj04KEAAE5aBGUs1MxUcMXDRm8W9ahIfj21KxIshsvYlrWNlayo6XFhOJHg48aNNCF1h9T0RfgOXQV5hvyYgk5QGVC7omhDUSYirFEQ7jiVxMXkDDhZW8LZwgwWV28hav85uHq54tbl22B4IvZ0vEwChowfxO/WfiVFqxUjUGSpFzUJliKHzMAk1+jg70d1TqWuxUbPIUvvuJRxkn5UshepP8VJ25DRi1f5lWqyUk/WqwWo3t+ljCMszc1gbW0B+5IlcHpPhHgpqFj+Re3BUvKk6Qf1ZSIkiPgkqI9cnzwaRWJDEZ8MrFUBZ1XEemPDlOHOSduHG836ysvwXvD1CiE4F1bGVcKl6zL5sUwQNb7Ik1Fnt/E6VFVXstjy0tbnve9fP+4Qr5Pa2H6WmFGDBKUAMd/zX64tMCgZsOSbn7Bq7Do5FUEmw/nkC5E+QHur72sGSwdx3E7qNNOoB4/H/nx1fq7ab/RAfVS+p4BRArnXPmueq7TBiLe/R2xEvIBvtbQKx3FgHX/cS7kHtwoekmW5cf42eAeUwZwDo2BuXkzbZc9Ko4r9MrDZiGy1NJULfz6lkyxy+JxYO9XCwqJQhs8L8WAVAaxCeXZ5OUkRwMpLbxXivgRQH/v1ypaNxbAQAVI8U+DvputcUUnD1gFcwWW1hGB+sAiyyJfxr1FeMt8qVC2HCyc0sgDVXq6E2PM34O5XBudOxiE0zB1xZ+IldKQOO3FfxZtmW7IEipmbSxiMNfYIbERNvFEwbl9JFBkIgkB6avhBJKeIXi6GnhjS44eRZHlmvNHjpE9eJtmXGXRUjqZ3gWHDMn4euBgehwrtauP0nacE8SdP4LD3lHh2eMzNy4nw8i8joUS2X63bw7Aiia4MkxAMKbZ8xBqcPRIlIShyUii6SS+Vmnys/4jV5XXY//QeEUxx9U4wnHwrRXg2xjxYskoP1w2DGBpGDs62sLQw0wp5fjj4DXQY3FaeZbewLwVUbUpboa35prSZz4EkZUtLc7zW/WWE1PPH6vEbDBbJVV+XoLr37G46BX8LMrxJ0Oaky0LF+TVJj79wTdr/9487dMRs+YyrNA7BR8PflTH1Q5fZwpFjTb3C8irkt905HXfu3wvoVWtQtl1ealsTw9cN1Pl9+6o9mNZjgRDRcwI7t67cRsqdNAxrM0EEa9VGQv3MQ+OzXW/Kp3NF9iInW3tzca5ePHp73nTqiNc+exlv9HpVO36MeZNITZjXfxlO7DyDB0/18PjtU5dbIg9s/qnJ4gnv2WA4+s/pghYf6I6jZwWw2B9qDyOBr3t5N+Ev7l13GBtTlmsXIIWp9P4iAFbFgXn3YEVNLPJgFeS7UASwCtJ7+TiW4ZRZfZbgryXbDaaUe7C+3hPgzvUkHbIlJ9iK1bPqz6kvreYlMXQXExEvIpGxpy+LHlbsmSsaaYYmYYg4chG+gWVQ0tUOx/48JuFEAiaCHxt7GwmdaMQNywqng9lG5UK9cP/eQ5CDxHAUwRdTtqmmzGszfEO3P7k+9FQp9f6UbEeNGvVlIbJXbhQsq0VKKpBvce7oBfgElpXfKtb0Q8wZDdeIFvRmbRxPuifEdHMzwN/BGtbXEpF8/Y4AHCrVkwhNDSq1kW8lhOFJH4kAJkMb1BLSJ8EznbxV12aSGm8snKZW/mY9PvLBhA91R1eewtBQINALqOMP8xIlcOHMlVwlBEq62CEpQZOR6OlXGotPTBTuHPtz1LuTsSx6pvYy66b+gTlf/ijPgqFZptYzu61J+/p436ObTMDGjHpfDOcVpvdny5IdErr9ckH3PL8VfN4M1xzfcUo8HOQPKiFBeik7DH1LADEXDUG16SkFGOKhCGhYg2B0GftBnq/5vA4Y8tpYbbkp9TU5fn+Kn5utSDK9xfTU0VuZWwjsrVKf6EgwkDKwIma2Volefb0fh63Gvg2HdWpx6vdBi46N4FLGGZ1GvWfUK0UwMqb9FOz6RVMWimN8+sFxCODiQ88ISL6oM0T4f/SW8j0+dzhK3n2OWXquyBfkO0gpBH4b3/LuJWfpM60jmrxTR3vGvIIbNUeLJ8mtL1nvkqFlao2xcDWPZ1UG0gLUmai5ncfUcfVCANZX+QBYk4oAlqnP1NB+RQCrIL2Xx2OZycSPEz1LuZlaioEfYztHGx2pA/Xx5EqxuPGTzEwBEVJW48kTOJVxBMvjSBmO05fhXqE0LG2skXA2XjhbBBVVm4QKr4LAjsfyg/Lw4WPJYos7fxX+VctpvSHk//B3clc0mXDJwt8isZ1AjR9I8oDS76aL94H8MQIuRYVcnyTPe/AK8sDjB5kCvq5cZKjQDEFNQ3HBygoVLICT6Y+QyUw/mIEBgyBrc1zZdx6uLKZ74y5Ke7kgMe6GAFK1kaT/1Y+9ML3HfKNCi693f1nAGcUHjRllL3jPVHdX7iO3Z6dsJyC7EXtL/uvs4QyvUF+cPmw4lMh9CLCCqpfDe1+2grtPKeljGj/2Ig77tKgx/8/afPSa0RugGIHsgvDJQiJmyE7f2LfUVWr9WYtcJxxT71HZj6GWGT0XYNgaXaFMU86jH0Ijr46Zqg3fqSshUQIuQ8bkkK4h/bAydk6ONedMacOz2IdJAF2C++kI4TJ5QimqbErJn5zapVa4535c4KyKnWv0ELWMRE7npVd04I+9hNStb6QFfFyhl3A7KzUOFn5njZer4MuF3bN5EjlOydfasng76OGkMeTOLFeK1E7Y+i3cfdwkoYRJFswEvnrpJuYOWoV6rauhXc+XCwRu1CCL4T1LS8MCqKY8+8L2oL0IgOU/IO8A6/z3RQDLlPFhbJ8igFWQ3svDsfQMkYtgqBaeodPQq0RAIqrNHs4iBaB8MMgtIldJXQ9QrQElopxPs/0YcuME5eLhAktrcwnjUUuJ4ZaYiMsajlTMDVFppxeEGXbMQGPoLeT1ush8/AS3zsXi6pk4KW1BoUdqZHEypxudxHO2g/IEVKXmKpBK8izpQnVv8oPsWeuvYhk8ePAQV84naPuAH2mejxlON6/cxt3b6QhqEoqUkrawNnuCRzCD1bVEWDjaIq6YBdxvJKK4hQUijmrEFGmlvZxFZ0vhIfE3hllvXr6lI4xoqI9zIqezwC3VvulJqd4iDMe2nRawmBfTB5QEkYENw3BW1X71+So3CMS49f1MCnnRg7Pgq+U6Ypz0YGxMXi6p5vR4Hdyk4ZNxLFVvUQkfffdugbL88nLvue1LME4tp4N/HDOoXcYMNRbbzs1jQE8lwzq57Zdbewp7O4EIM9UU6QiGl+lhZPJBz5qDxEtlSNg2p3ZQf4xq//QGUxB1+fBf8MeCrdpDypR3w9KomUb7giT/Dr49tCRzY9eq90ZNjFivG75U9uVChqr+G5KWmqx3Rm7jl42+05bn4UKhy7gPJJHHkBE4q0P7efVeFfaz5PkKuw0vBGD1zwfA+qEIYBVkPBUBrIL0nonHsqRD77pD86SorJyaafnF7azw+OFjqVlG0jTd60pJGYbs6H26fD5LCoEihUzHZp0zbxaBtS2uJbfWbFUdKUnpcHC2wYmt4ZL1R6I5Q35+VX2FTC3u/OJWiLp2X0Cda2kHPIq7DGsrcxH6jDwQBSpUU5OI+ytGOQEay7dwQmEIgKtVckaUch38uEYdvwR7R1spl8EwH40k+bP/xsC9bW04IBMWaRk4+dgM5a/eRPzpOCHT0xvkFeSJK3FJAu7KB3kgJvwSylRwR8KFa1q9KZLR1e1S2kegwaK1FNQk2Z3hQ/1UbfKImM7PsAa9iEqGEb1Fat5Ibo+e6vTRJy5lA2UEAix3o5TLUc5DoDlv/wjxyJlqM3otxMbZmjIpNMWDwWfG8BEBIoEw+WgkoP+XjFmHxmpJcoIfvLKPUc/V87oPhuu+bTMeqy/Py1M4lf0/4q1J2vqJBFZqJfBv3xgvyRSLIqbmiQO3fsZmzO6zRG6fz5ULE6UPWQS85FMOXIdv3jbYRSyoPqDpcO020g7U1RK4gfphAxZ9brAUEbezmsKfC7eJaro+qM24dx8nd5wRbyLbxzHN0O63bSaIN5bvGjMku074UGRTTDFlUVkYAFrxQqnPSeCkaOEpBHbl/2pu3/8JD9aX+QBYk4sAlinj1Ng+RQCrIL1n4rFjPpgq+kp5tcBXKuF2NU/YXUzE1b9OwbVUSQFYFAhUjJIGLPSrKA9T+oDeIgKnhEs3RJyS3JU71+5K6M/D31MyzNzKOuFe2n0Jx/279gACGoXB3N4OZpmPkRaXgOijF1Hu1dqIv6TJ0CvpbAsfTwfcv5GIe3dTpSZh5SahwulgpiKzmSyKW8qkyPOmJaXC2cNFiK2KtAOJygRCFNRUxEKV+yA5v3S50jhvUwJWh8+hVEUPpLk54v6hcyjt7apDjmeYoaRbSQGaBHnMnGQ9MxLdCTxZC61O6xryUScBneKP5Pm07dUS7hU9sGbCOvHc6beBgM+9XGmtR4XeBnqFCF4ptqjchynPMScxWB7vWdkPidfvasNFnEACqvmiZceGqNOyskyWuZl+KJAFeb9e+oUcRgDJEA+FI/+LRn4L+3XT3L90wDBB8I/np0sm7Yu2xUNX4adx6yUz79PvPzbJs8g207s4tv0UqaDQftCb2WpDTu0+X7yKvWd1zfEWCWbosSIoYTuo4Ra+O1LnGGWcKX+TuzV4RR+D5+1Ve5CWnkClc2YBslqBmn/IxRVLEeXH6IVeP/UPed9IUyDAUrIbRRA1yBOjNg4yWcqjMMEV74dgiqZwqhTQpvzNECr/rf97YbeDbXgRHqyAfnkHWOemFAGs/LwLyjFFAKsgvWfisdSfYQkceptMNXpszr2qIYaaFzOD77ZoJEVdF68UPwAMXREAEChQ/4o8q3spGVplc65MGUqg8eN77ni8ENaZCk3OUXDtCuJdMXN3gZW9jRDhWRbH1sYS9y7Gy+RczLYEzlzSLVxbNcwdGTfvyMfzyOZjAkAoy0CXPrkzDKWxfWybosvkV8VHQon0lJX2cRVPHMGRvjGc6V+7Io5tOQGf9xrA4U4yTjHE6GwnpHvpC/Ni0n51Qd1yIWW1xZB5XYYwe077BG2/aCnhsg4+n6N8FV+8N+QtDH13BoKreCH8n+M6l2d5F2YPGRMfpGerXpsa2L/xXx1PJEm+NCYGKF46dYjW2PNmZuWH372H73sukUlIrR5Nfln9NtXRqF1NBNXMTh5Wzsl7e8v1E61oKBMb5hydaDIQMHUsPsv9yCH7sFwP7SXoGR3zx5A8hfyS76Thzs0U+Pi7F7ip5IMtHvqTlLdhmRlFAqTPnE+Fu1YYpvaQUNeKYsKXz13VZNBWKC3vFGsWchvJ/2qjZ5gq/HzX+d51Ht0ev8/9S4A0FzvGABJBXxv7j8RjxcXMnGNUOwfaOnbUUTVnbcRmHXIuGZRTH7DNfZqPhF1AWdy7dge2rBJgaYGoNXvxyaj38Xa/103qQoIhNdgx6aBC3kl5Ts+iHS8EYPXNB8CaWgSwCjKsigBWQXovD8cy1ESQpXCjcjqUq1aPlmHYbZlVW62cS0ncm7kDD1MyRLyTxHZFUVwtwuhfs4II4tFzRY0sepSoI0QVd+owlQnwQPojwN7ZFkkXE3DhoQXCgj1w71yMqK9b21hqFeKrt66JB1YlEHlGQwJ3cbFF2qWrAggqVvWFRbEnQjzPSL0nXjRKLajr8vEYfpwoHcAlrWwzMxMvliEz5PUJaxQipHq1wr3+sVRG5+qTwoQM6zCjiQR38sL2rjskGYXvDGiDXs3HSqj16okonfMxJEgQZ6xwM7lnE7cOEyI/S5lQOkExhjq6TfxQQonve3wqJWoYZjl7KCrbLfrV8IOto52s7gmUhyzriYRLN9H35XE6Yof0vHlVdEcZ31LoO+1jo2CD13zLtbNMkFTv5oRA6QWGfl60sR+YmZqbhMKo9yZj95oDko1GED3j0DiTQ4P0lG5ctg+/LtiJx48zsfbEqDwBM/0+YuHg9dP+0OE2KvsQuE/ZPSrfZYAMPQ+CiA+8u8uCQDGG1ji+jI33D4a0E/kRFpQmNaB6i8pYOvxnrBj5q5yC6vbUbTJkFDVmkWvqtjE8TuPib9Aro+UdY4h5ZcycAvUhOVpDJ/yOM1Gad5wgjouiJn6l0X/421IP1RQr7JCcKdc0tM+zascLAVh98gGwphUBrPyOHRn/T/TzWQtytv/Ysc9zEJty66aALHqkCI5YBsOxZRiOmGd5eoJKOeH+6iNwcLZD/BFNNhozDEuWstd6q/gbs/0UbgZDEeQt0c/CEhJP7GxwKeUxHj7MRFCop4CnmoFuSLl4BREHo4SbRXV1GjMKL1+8gbK1gxFx+ipCA0rhlEoSIbRuRZzef144F0HVvA2KGIonK/6WTExeId44ceIKggLdRPj00rFopDy9FpXnCQzUSQD0kj169ETLE6GHjJO2fiHW0PoBaNvzVSnerNTf09RgzLLfFu7AktHr4etXCme2h0uolcCEf1MLy5hQKM8wbd9o4XmN/3CaTtFbTobzT2aJRVJniKVzzh4+j33rj+hcn5NXUvJD7cRJgPzzxekCivq3nICIp8KgBKQLDo1EWb/cvTFDW4/F4c3HRfl+7OahBZoYTRm/puxDT8mONYewdOwGCdW27d4c3v5lUK1JsMHD6YWhYC65eoNfHY3lFwzXp9M/+ELEFcwf8zvCD2kycuu3DMXQGR1NaaIUbPas6C7189TcHpZGoqSZWlJBAAAgAElEQVSHkvGmfzLKCfSbn3cZCvV5+LzXzN2OtfN3gNpnVmnJOP+0OgL34zhhPT19bhTH9aAVvVH/zdrZ7pHnbGXdHiXsS2D5hZl5LnvEZIPVEzbIeVk0vGXXZgUaS0NHr8feQ5qKD4q91iIMvbo2hY2NlUnP6FmE5Uy68HPa6XnOTcq1AooA1nN6ulmXKQJYz7nLt67YjZWjfzUouUCPC0ME9HJx8qd5d2uE42YPta1kuNDV3gYOm04j6fx18ZY8vP9Q631h+ZTitlYggqE2leJtoZo5a52FNQ5Dyt0M3LS2kZDK+YirqObnKl6d0v5lkZ6YjIjdEQh+KRBJ15NECqBKu/qIunALj69c1wntBdeqgIinH1ICucovVcS5Q+eRmpQlkEpvWgkbK/FQuAd6IeJ0lvfK2dUWznYWuHDsooBA6s9QbZ4hT4bM/KqVw4WTcdp7L+PvKbwyXpegjbISXI2zfh01r4x5S+LOJ2BU53lITkyFk40ZSthYg66380cuSMkbffFT9ZCgVAC9AgR7M3ouFCI9pR3YPt7z8ouzpJSI2j6rOiAbCKzUrDLOPAUDAgjeqIFvlveUw+KjrmHpmA3Yu1GT9ffyBy/hy5mdchyZVMbuVXuwtGP074OkRMqLNoq/Dmo3GVeiNYkLin0+/n288WnuxXsJtBTPinIsAduuTScQUr0cPHxdERt1Hfv+CseKaf/oFLCes7kffJ96ZXLrh3kDlkltQyqhMxwWeeA8jm4NNyoWq5yPi5lfEhYUCHzQa/V+tW8l0YQWHOiGyJ3h4jUjqCK/MLhugIQo1037Q/v+Nn6vHob+1M/graXdTUM7l86o26ZGNvHS3PqCnl+lUoCy7/fbh2crm5Pbeeg5Jofx99l/4TSLSFetgIT0B7hxOxXlfFzx48ysupG5nUvZXtiZe6Ze93ns9yIAVmDvvHuwzk4v8mAVZDwUAayC9F4ej+WqbFr3+SL4x6yfRw8ey+pdMSW0RDI4gQlDVvy79Ls1EWH2COkauo+Yn00J+EXfwZFNx0RUlN6p6OMXNdpTooh9Hbb2JRB9QiNpUP2VqriX9gAXwmMFJFXr1BTh526gWogH/v3jJMr7lEQJBxsk3EyDjbUF4q8mo7x/aZQwy0TavYdIjY6Dk1dpRD1VhacniQrMLIdDo6cqLf0BfMu74OE9yhskS+Hda7G3xCt28UQs/BuG4WJUlm6Tci8MIzBsFhjsjtjj0VK2h33BUj0Mf148FYfAWn44ezxWpwhwm0+boeeUjkYnvPv37uNG3G1822E2rsffFo+KZ+kSElolOCJvLTdeHMUXu3/fUatwzXImnAhnfrFIwoCb0lbqXJ8p5gOafJcNQA/5qS9+nvInYiI04cVWnzRG76lZHpcTuyPx96r9Apavxd3ClC2DsolQKv3Fgr+zei/WhhXzUm8xj0PWpN1ZwHrCpwtxOfq6hKD0rU23JugxIW9ioPfS7+PQtgj8u/sctq0/Kp7LcgFlcCXmliRRqK1Bm6po37sFXF3sYW9vWgiqZ61BkilqqpGk/VP8vFyVznM6X0pSGlZO+xu/Ldktu3n6OOOlBn5SD3LTvH/Eg/vewDe0p6BHlArstE8nfYx3+hvmL7HMU48aXwsPi0Wk675ew9TbkqzAPi99o7P/+1+3BceUqcbvzTulu4i4rTq0WbqSDxIDvPDwUSaG9GuFJvUDTD2lFjwXRvagyRd9jju+EID1RT4A1owigFWQYVEoAGv37t2YNGkSjh49ioSEBKxfvx5t27Y12i7u079/f9k/KioKvXv3xtSpU3X2//HHH9G5c/ZVz71792BtbdpH9HkO4twewsXwWHzfZbYOz4dZNfbO9iJjwJARlbXVGT1KaRyG10pWLI193rYaUgOAmuE3kXBGQ0ZXlNNZ/oSp2DSGr7jipmQCrVKTMJzeH4VKDYOEj5VUylmAglnEBdy3tkNZb2ckp91HXLymMLNiwRUccTfmOszMzYS/dO+RmYCqkDp+Eh6kkTzvGeiJG5cTxSNFscCw+gFSd7AG5RyuJyH6eAycg8ohmcrsRoy3VrWmDw7/dkhnD3KrLB1scftpsWRlY58ZndHqkyY6+1L53NJKIyhImYQe1b+Gb80AxF/SCH6G1PDFyT//NdoGEo3dfNxw+dwVKeHDYrY+wV7Z9t+z7hAmfDQd3+8YjsBaFWU7nyMJ+AObj9TZn8KNE/7+Fr9O24IfR66VbSxBtDzih3wJZDKcs3H2FvHYkSTe4Zu30Gnk+7kNwWey/VrsTcz/dg32b9JNGlBfjOBk1q5hwivLzZj9SJI3FdCLlXJFQoJukWdDxwe+GooTUdfg6mKHkGBPpKc/wEt1K6JenQoopSoYrD6WmlALBq6QcKB+OM7QNehd/jFqRr7qNmbce4CVU7dg4497JcOQVqtZMAZN/1gkVIwZPaXkO455fwo++/5jvP75KwZ3padrTr8fZRtBVpser6B26+qyKMmJA8eQKMVhy4V64+g/4aJjx6LhH377tkkFnJXGEGAtHbYa4XsiRRqE5YEUzTj/VtWQev0uPhrwOpq/Z3oZpf/L3iv22/Ocm5RrBfXKO8CKnGk6wJozZw74JyZGs6gPCQnBsGHD0LJly9xe+/+z2wsFYP3555/Yt28fqlWrhrfeeitXgMUHMGXKFFSvXl3+btSokUGA1adPH5w7p5t55+6e+0daeVrPcxDnNEKYifRFncE6ZFZyf0r7aqQFfMO8YG1jLR4REqoZhqIxfEXxT5pXgAdsfFxxt5wT7pplosTG00h8So5Vi4xKjcCrd/DkSaaUvqFIKblfokd1NQkuHo7ipbpiVQJlPR3hUsICj++m4bGZOaIidcnnfr6OeJKYJDIIzu4lRdMmtGklKeoc+ZQz5ObtCldvVy2HqEo9Pxz/+yRC61VE+M4zCG2gKeXCUOMj+5J4+CCLuG+oz0KqeePkH4ezbSLx3yvYC3HnrwlHTDhMMbqiipww5vRbgmFr+uOXSRulxiD7N7RpZZw9lUVMdyplD1d3R9y/m4yLR7O8GFJUOMAXt26mwsrKHPUaVcRnEzvgevwdrJ7xtxDYW7xbG43aVJP2KSKwiigiuSwMNZEjpp60X3qzFpidRe/OFw1H4P69B3J8tzHv4a0vXs3zx4UTGmUn7J3sQI8aMzPp7XsR1rn6ECHq52YcP0tPjBfJAUNGLtaOn/Zi58/7RAiX/VehcRXExukq9Osf6+LljBRXWyQnZwfufhXcMHdGR52iwfrHEygvHLQi1/Agj2M42N3XLbdbzbadntd+b2YtIMv4uGLhjsG5JgAoJ1o5Zq2AJj5vhvTMzXWTGI5sOQ5bR1ucPRiFHT/vkxJUrAn6xcyukuhhzKi+T24XOZQFATRcyEzsOFO+DzQmjHCBp8ighL4UKBmRI3/7Gp5+ZUzqv4K0x6QLvOCdnufcpAVYPfMBsGaZDrB+//13GZt+fn7Su0uXLhXHy/HjxwVs/f9ohQKw1B1Hl25uHiz1/o0bN0aVKlUMAqy+ffsiKSnnD2xOD+15DmJj7eBk2LfBtzrZg+QqUDGd4IkhPXKAGObjxKwu6KzOqmPYkMDLzctFJAkqVi8vXiGGlKo0CRXlcsdSJZGWcg9xEfFwLu2EcpV95JiIA1EIaxAgWYWpd1LhGeKDlIeZKJZ+D4/SMiQV3TW4HKJjCMw0pVk8y9jj+pHIpxpaSdqQV5WmYRLCi7t0W3gjNs72OnXvqN5evFgm3Mo640FaBsgPoRo8PVwPHmbi/Lmb0g5j5h9QChE7TxndznqKZw5Go9YrlTFqXX/Zb/zH00FBVvJqLItbyipaSa/ndvKfIsKzAJZycvLCzO+l4t7TyblSi6qIiNDlD1Wp74+LrI94Nx01m4aIdtV3i7vBxV1Txkax7T/txaoxa0WjTDx6fmV0wr/df+gooaBxnedi19pDcPVwwtLTk/4TGX/5/fAtGfMbIo9cyKbNpD4fMyLbf9kKVRoGwTvA+OR65K8TGNJSV3/Jv1ZFXLj5QICIt58b/Ct54cy/MbB3tJFi5dZ2xeFQzRtxV7Ky8PTv5bOujdGgejnEnL0Kj3KlcGTraVR+KQB+lb3FI0vvWlpyOtZP24xDfxwVLw7B6uYFW3U4XjwvM0Y/n5IzN85YXy4YtR6Ru08j89FjNHynHtr1eDnXblfnH+lns+mHzridoIQhum5h/aUUlqKJluuFCrhDB9/Ps9X55LvFMlNMWqFXjH+/3KmxyKeYYkUAy5ReMm0fLcDqkQ+ANdt0gGWoNc7OzgKyunTpYlpj/4/t9Z8GWF27doWnp6es2gjCRo0ahapVq5r8CP4LAIvkz771szgOzBLiqlFRXmdZFxZVppF3lJKYKh4ON28XrXI4P1ZcHVJriQCI5HWS4Z3LOCPywDkJC4giceYTUXdm7TyKHDr6uOPJ48d4kJSC80eiBRDRS1Ohsq9cj/XAFG8Z/0+V9nK1A2XFn3r5ptQAZIHn49tOy4ebOlasP0hiNb1vPpV8cXSvrhxBGS9n3IlJkBV00nVNuJH3zGMC6gbi5J5zotUTff4G7mdkkfeVhxpS1QsnN+tm4KkfeKWmYTh9IBpfL+qOpu/Xk009agyU+zLGpwpuUgnnTxuuN+gX4IazeyNk1W3r44lbNwyHpNr3eQUfDzCc/n4vLQNdgvrqgDpO3BQnjdh/HlP3jhLyMnly23/Zj42z/4ZLGUcMXtbLKM/K5EH+AnY8+Fc4Snu7YObXq6V4eFB1X7lPfWvdpTE6f9tOSiblZmq+EfflmK//Vh10+O493Lv3QEjuNAKJ8+HxmDvqNxSztkR85mPcfJqJaugaPl7OuLn5RDbpBdb2DK5ZHsOXZVckXzt1E+Z+uVROR80ohunoFSaoqfN6dbT+7GXUamn6d0hpF0vGUE+NIf+cuEUKWNL3VOXUh2oAxveBQJ9eU4YKyT18lrZp3t9Ssoe6YYqR48gFIt8DanbxO8jvALNdWdooN2PtQEVZPbd9/xe3P8+5SblWcD4AVsTsIYiPj4eDg4O2m4sXLw7+yck4Z69ZswYdO3YUD1ZwsOEs4v/FZ5eXNv9nAdbBgwcRHR2NsLAwiVdPmzYNmzdvxsmTJ1Gxoobzom/3798H/yjG47y8vHD37l2dAZKXDirovorOj3IeksGZkXblqU5MuUo+SL2TgpvxiUK89qtaDpdOaYjo1AVKvp0swImAhmGxG1fuwMa2OMytLBB1LEY8ISVdbEW8s0brGrCwKIYTW08iuF4gHj5+Ipyt8H9OFOg2mNLuXMYJxczMcHKXBgzSKjWthDMn4nXOXc7XCdHHLkqGFusvEkwSvNg52yPhcpI2C5FhLYYXzczNcUpq85mhYlhZRP5tnB/FC7Go9bsD26LR27XFs0GSLjlPBIfksDEUqTYLKwvYerkjLTnDYB8onKzQRqE4G51otJ8cnGzRd1J71H0lzOA+21ftwbgPp2fb1n7wm/hkTBbBm+EoygTQKKdB5X16Gv5XyLw3r9zBb4t2YO2cbdp7JRiqWMkblsXNxRtoYWWJhEvXMXvnMAGSORnB6fwBy0TXiWFChs5rtqyKoT/1FVBPUGrMCLx27TmHSmFeWP3LIfy++QTCQsoiNTkddinpSL9+F/YlbXD2kOEC2wR+Tm4OqNUsFN1GvCWLlJlfLMaFE5fA8BnV9Bl2JjhWg3eG4amLlhcAlJcX0FAYUH28voSBUu5Fac/8gcux5vuNcgg94vS8FUQ8NLe2jxP5knBZ6HHhyOSRr5d9IQu5hNgb6BzQBx7lNRUSCLJmHBynU2vQ0PnzAzJza+d/afsLAVif592DFTFnSLZu++677zB8eFbJJfUOp06dQt26dZGRkQE7OzusWrUKrVoZXpj+l57Hs2rLfxZg6d8wPyLkeDVs2BDTp2efyLg/H/qIESOy9dWLAljkHSjikzqTvqU5vIPLalP5CUbUxYoptUDCNFd69GhRM4plWkimtnWyQfy5a/Cs4IZT+85LuM3dtxRcypXG2cgbCAl1R/jWcAFxDIMQcNy+ahw45GVgERAVsyiGlFupor3l7O2G82euIqiqL27fTBZyu/Xj+xIOYJssra0EQJzZfx6lynsIB4mZh8w2otRCbPhFpCWlI6heAM5FJyKwsjdO/Zmdf6VuI2vqfbWkpwCS2MjL6F1niDabjmCOIVN1EeywZpURaSA8qJyTJGMHazO4+3vi5FFdsKjs41OxNGxsrVAxzAudv20LaxXfKeHidQlNMmyrTlDgsSxbwqwuZeLb9ct+AWFqfta7A9qg28SP8vIYXti+vy3aif2bTyB8f3YRVTaK3op3eraQ/m/2dk14ls+53A0n0WFvTJCi1CS2M0zeZWwHCZvn1TIyHiL93gM4O9ni6sXrmNhptui6EdxTSNbB3REnDhgGWg3fqI7B87qAYK992c90vLrMXnRwdRBtOr5TzTo0ROvuLeBXReNRexaWG8DiNdUARB9wcXzRa07xXy7OGC5/tXMTtB/SDh4VTOewmnJvvHZr2w5S8olcLlYxGLyitzbbMvJ8AkZO/B1j+7XEt63HSVJGTuV81Nf8vxwm/F8CWHnxYD148ABxcXFC7Vm7di0WLlyIXbt2FXmwTHmZTNmnsDhYhq7VrVs3XL58GSTVG7L/kgeLq/Epn83D9pV7DLaVSur0uDD0QM8VV8UJF66LACKLCrMUjIdfadxPe4D01HvifidhlZ4aFj0mgCHp+vb1ZDi6OeJGeqaArXJlbKXcS9hL/gjfpckoLExjKrm5pblk2IU0DMZDmOPyyQvyYSWB/cyeCDx68Eg+sNyP4ZUKNSoiIeYWbG0sEB8RL/dL7wS9FST1ly7nhht3H6OMuy0id+u2meRd1jok0OTE0aR9fTi7O8m/WcdOKRbNe2QiALP4FCNfK/ZSItL10voN9QfHbWDtCog8ptLd8naBs4sNzu08iYxUjQdMKcHDfxNAf+jbQ1tvTf+8n078SBTkaWzv9B4LwFAY7//j4e+iTuvq2nBtYT6jwjzXlYs3cPtaEirV88fwjnNx6G/j/Lg3P22KT0e8ZfLlOTmzmDLH8ZCVffKUuZbbRZit91XzUYg8FC36TI/vP0CFmhVx+XKyNpNPOQefx+jVvVCqtAM6B+rW8WNWqW9wWTygtEnzMAGAit2Iuwk7JzsBh3nxQDLphCF/al1R+03fTFUPz6mUy/B2E0G+JMEMvYM/T9ggvE16BnPyCubWr/rbubD4rMoA7c/Dfh2ABu00YqgEvD0HroRnGSeMHtIWzPDlAmPPrwcx8/B4qbhgzIqERvP6JIzvr4C5kO5592CdmVswDlbz5s1RoUIFzJs3r/Bu6H/oTP8zHiy+cLVq1ZKQ4eLFi03q4ue5SlA3iMTu4e0m4cSOM8JbYrkadYFmZV/KDzADkGUqOAGHNQySFSc9ISSIUkQzfFeEKKpfu3RdPFn8kJOjJTXwzMzg6OmK67G3ULF2RSFMP0m7h3sp6QZLtZjUaXncyb18afgEeUq7qVlFjw75LSzcnHjtDorb2eLCaU1NRHsbcynOTCNpnxl+tJB6AbB1dcCR3//VIRbT80DCOIGn2owVXmYpG3UtwcoU98zBe6V/qxVZMzFC0yZaQABV30/q7EbQ9NaXrSU8Sc8VRSv1jYryBI4EDQTRDDf1bzRMC/7o1WrxUaM89vSL2f1WQhJGdJyLVz6oh8WjN2TToFJa9dbnzdB1WLsX00gjVx3Sejz+/Tsc7uVKISFKA7wrvVINEcezeypn/D0IBzYcwrLhvxi9h0nbvpOEEsV2/3oAY9pPxWeTPka7vq+ZdO/0TPeuNxQ342/DmN6UKR6s3C7WKaA3KE6qyHfwuhM+niESK4NX9pHqBQU1tpPyEL/N3KI91ZrrCyXZhrZ9z1mMmPg7xgxti/p1NLQOLkpYP3PIqr5o8r5x2Yb/y94r6YfkZJQsWfK50Fe0AOuzfACseQUDWM2aNROaDmWX/n+0QgFYqampwpeikYQ+efJkNGnSBMwg8Pb2xuDBg3HlyhUsW5Y1GZ04oeEFkcgeEBCAr776ClZWVlpXIkN9derUEb4VBwjDgsuXLxc5CAItU+x5DmJ1e/SJ7Zz4WUyYHw2CI/2adwytsAwMf6/TuppkZZF/ZWFljtN7zgpXibyGpJtMqy4uQIqhMK68Hzx8gsxHj1Dc2kJ4IjnV7DOlzwqyD9vDsCZDBSUcrHHl/DXce5gJa7sScC3tgIg9mvR7GvkalBpQjCAy/CnZn7+5ejiLp4GlZ9TGMA0lJxSgpt7GfiTZnW2gGvbp/edw/rxG/8qYEah6lHcT4EpF9RYd6mPv5pMCJHz8S+PCjuz6Tt0mfIh3v3oD+vw65RrfrO6HRu9qCPi0+HNXsHvNQXlea37YiJWxc0yuyVaQ51GQYykUG34gGovH/CZisblZn+8/wKsdctc54kLp4UOGcTPlfc+tVmFu181pO69FruOedQexeMgqVH61Om7fSsO1uOxiqN1Hv4PU64n48dvVRk9J+Q96ahVZDu6oCJbqP3NjJyG/8tPKWR6f0ZsGo3YrjewHrbA8Nx0r9sLbX76uo51FQLRq9DqsGLUGvmHeeG9gWzRtXz9fXczxMaPXQvnmuHmXEi4k3+l5JybJ/2kdeyzGw0ePsXh6J1hba4j2vD9K1rAvlf0MNYDjg+MkNzJ1vhr/Hzjoec5NOgDLyjQNSXbR4wcZOJMHgDVkyBDRvCKgSklJwerVqzF+/Hhs2bIFLVoUTqH0/8Cjy1MTCgVg7dy5UwCVvjGDgMi1U6dOIj7G/RQz5FL38fHRipT169cP69atw7Vr1wTpE7iRY0UCnan2PAexuk30WHSq+IVOAV/1dgKQClXLabMHlW30WtEbRG2joNr+YHFWF09n8eBQlJRlb5S/lWMItpgKr19k2VAfMSRFzwqBC6UM5G/58wgPMh7I3w8zHkg4hH8rv6s5Tab2fVDtisLLYI1B3g/J5iQNkxPDsCg9XWpTy1PwdwLO2DO6ngaCJ78qvuLxM2bjtgxFjZeriETC2A7TcSlOVzhVfVzxEpYCVtdGT0Fa8j1cPHNZk1n2yQKkJ6Xhxrk4XHvq+VAfx9U/xRjHfzRd7lFtFHedc3QCXD2z6w+ReLxw8EoRgPxw2DuSXcewjSKMamrfPo/91vzwOw5uj0TEsdgcL1f31cr4aOBr8A30yDFMxsmd/AwCKmXS5P8tLS3zFF7TbwzlHbat3I0m79fXASrc71rMDfz6w+/4a8kOWdg4+fvI+E+IMazbFVTNB6e25JxkQYA1be9obTPo8Vo+co0I/q64NDvXR0MRzr4vDdWWwhr4Yy+QV0grLHDFc1E7q8VHDbOBGAIXysGQG/n30l3iRcuLMcy3d91huWel2DzPRY0uFqJu+kEDOR05ca3eny4K7s0b6XLq+N0xJbORbVVMAeKKZ0vZ9iwBel76Ja/7Ps+5SblW6KdjYZ5HgHV6vukeLEoxbNu2TcTGOWdXqlQJX3/99f+34IpjolAAVl4H1/Pa/3kOYv174qp53ZRNopoeeVAXEFAXhno7DJHduX5XNGvIySAooaIyARO9NNyPEwPFGQkuyEPKS3kPpU306PSe3S1f5GGeg6vVf/86iUObj+LfLSd0dK9yepb0KNH7xpqB9ChRmTonUzTByJmhdpbi7SIYZx8RqKXeyfJ6Kedilhe5XrzOnKMTQY/hl42GiQzExZgkgxN4uSAP4c5MWP+lcMHUdvpQNH7oNAOXVXwu9Xa2h5w5RTWfz2vy7lE48udx+V2RwdC/V6bpl/JyxZPMTBzfflo4c8ymrNrUcGbi83pP9K9DEDCg8XewL1USbgHeojmlb8wO/HLKh6jaMNAoQGKqPQn+6enpUn3BUNYdt9nY2OTrVgnauob0k8y1Bm/XwbBfNLpoatuz9iC2rtyNm3G3UP+dl/B231aY2GMJ9v1hOLM2pLpPjkr/PHevGZ+IhzLh4g38OGw1jv0TLt7JTWkrcgXL9EJ/Wqm/vPc0Jn10HPk+3uj5qgCsvHC58tVpBTiIen3TPp+fje7QskszdB7zPpzcsjJGE++kYdPf4ejwdu0chV5NaY7SL/r981/vr5zu7XnOTVqA1S0fAGuB6QDLlGf5/9s+RQDrGTxxeoO+aTMex7ee0tQS9C0Fe0c7Ia5Te4pW4+XKIl5JvhLBC1fWDD3ciL8F7zBf4PFjZKRlyAc48lAU/Cr74vxRw1lQxm6B4bSPv3sXb/ZpVWh6SwQ9bM+hP47h8OZjkj2Xm7EdJOVfj7slmjjGjMWdyVkiWHr8OBNPHmdKkUJbR6baa0LQ+sYCtyPWD8TkrnNEI6zjyPdkdd63/rewsC2Bs6ey618RXEXtDkdxm+KYeXgcfPVK4XCF3b/xdzny2KhOHXX8IrwDPTFm81A4uekKj+bWJ/ndzrZRo4llheg16DSq8EvkbFm8HT90nSNNDH2lBs6eyA6wPvmmrWQMGjMlDJhbiCcvkyRr7pGXx/umUTmfZYNozu6OmHt8kujA5WbLJ27Cqsmbje7mS6mRw7qLIiUxgwdRx4rZhYqWHX/T92zxNy4I5n+1DHVa18CrnzTRvoMj3/kee9ZmlYOiF3XOsYkS2v6vAqx/lu3C/K+Xg7xRfgPiz2reKy58Jvwz7JmEvMlxo5SJ8rz1H5ghD1duz/6/sv1FAKywrnkHWKcWFgGsgoyZIoBVkN4zciyF91imhR9OAiqvAE+wCDB5Q97Bnki4cAOuZZ3lo8QVrY2DjSisMx2cHKobt+/Bxq44PMs64dzhKCGkHt9mPHvLUDPqt6stqtNuXq7P4A6zTklASM/Noc3HBFAyezIn0+dacV/yy5iNZWFfAvfMLPDErBgST0Th1uVbAppyMnr5ph8YK14/dUbWtP4rsPXng9pQjPocXmUdcOm4BqxSl6zDN2/jtU+bS/jq7JEoDGw20mhmoPo8zCobt6KpczMAACAASURBVOWbZ8ojYkiGRGqGlcnR46St8OwYWmKIqTCM16E+17WLN0SpnyVkZAJtXg0J8YlITdKUb1Ks+bu10X/axwYvzQn4CZ6YJBRpKqGbXLyuof0g3pLR7eW6lHdgFqJi5PU0eKtOjt1BgNr75fGIPZeVzKB/QClPJ6TGJSDldooAJ3qO2ScEd48ePpZECmbKqk3xanYa+R5C62tCYtQCowYU+2PGwbHampW/z/0bv/6wUScDliFGluKh148JI1bFrfL1WAszzMgG8Hz8li0b/rN47GjMrKSYMSkE0/aPQXAd/3y1NaeDqD82sNkIyuPhh50jUKacYcmPwr7fQr8RIyd8IQCrSz4A1qIigFWQMVEEsArSewaOZQr2xxV6SkYdjR9eKhrTvc7JnKvf6OOX4Fe1PCL2nxV1dnKvSnu54sTOMwiqWxE3b2fgzq1UOd7XxxEXjmcpJOfWXJ6/5/RPsvFRcjuuMLbTc8ew2byvlmfjTynnJxAqG+ApYo4M5d26nAhbCjrCGg+eltDxL2uPs78fEt0hDz93AarU81KrzqvbyxAfARpFDMlRG7Coh4CtqJOxojS+a/0RCcsl30kXrlX5gNI4oldQmgCm7hs1cPd2Cv790zRh1t6zuhotwFvQ/uTqnBIfm+b/k02hnt4UFo9WZ7QV5HrU55rdb4lkdrJ+HMPRNnbWYIZo8t10ZD7KREYxK6Tezar3RzkGyjIoppCSzc0txLtmqginfrbY9bjbmPHlcgz/KbvK/dz+S7Fu6h94f1Bb4cBN7jZXJn8aJUymHxwryRHGjDpX29YcxqxBukR2dx8XuJZxwumDWV5SnwB32JpnSgUEViHIyai/9nLHxihhX0Jq8CkZopz833XvKp5reho7DM2SsCBgJPGeCuiK9V/UQ/SqCDpppvahftsKUwWdHkJ6ChXjGLkZf0tI8uePXBBR2LF/ZBejLMh4VI69euEaOlb8Qr6bXMjw3d6/4YjwN5lkQitoXxVGO/NzjiKAlZ9e+987pghgFfIz44RBaQWG0Mj/oLAeTeEX8d/MEKRnS/mNK2N6sugKZ2mOR8UsEHE0FiVsrZB+9WaOmYEEcCybQy8XeU5terz8wgr/8t6YCTjy7e9FXoEp4YaMRHeGWLi90ms1cepKqk5oxNKiGNxcbWF+KxExRzSiliEvBeLMvrNCltf3HuhfQ/FkaDhbqQL4IvZnFQ1XS0ToH0upDKVIbU5Dg6KY0/ePKfS+5qS8bMQv2Dx/qwbw7InUNoMZj33mfoaGb9eRjK3CMGUSU84VWKcirl+6IRIgDFlzMUCr/GoNnDkehzqvVEL1JkFo3bGhzuWZNWRvb5/nJik8LSU0tmHuVswdvFpC52XKuWH6tqHasbF46Cr8NG69wWswTFWtWZh4UMnhMwRO5g37FRvmb892vG+wJ2IiryKoRjlEHskKwwdW9cGZv49mq0moPgHBPz1UlFthSSQHZ90+6BzYW0KJ5EC+3j2r/iDFP8d1mKbzfJUwo6JvlV8Ct6leQWMPi/pekz+dJ3xP3huFg8mn7DPnUzT7sAHWTfkDfy3dKYsohv4XRU4zibRu6uBQQPf9e/fR2vZDOYxcTi6CYs7E47PvP5a6nmqi+381tGrsnl8EwKr0Sd49WOGLizxYpo5bQ/sVAayC9F4ux/Ij+klgH/no0xvjG1IWZw9fkMwxKTRsYS6AgTIGh/84Kh8RZthRnsEt0Bsl7YvjtEosVKlvVz7MRwAVy+zwnIUpHFjQ7pjecyF+n/OXrOSZ9WhMNqJS4xA8sLPD+SvZa/85u9qh+LUbuHKKJXQ0xvtlX8WcjpPSJQxZ6WciKvtWa14J/MPiy/Qo6ht5IywtZMjIl7tuJMuMhaRZp9HTvwyGr/sK7r5uBe0u7fGcyGIj4vFD17mim0agSuCdmpgqXD2CUnKMCjPkm3InVbwoBFHx5xOQ9lQ2g8+OiRVRqtpylZqEouvEjxBUvXy2e+aETqCUG9/KUGfpe7A6VRmklYVwdi+JxUfHSn/QeJ029h9ly9zkNk66tVpVE2V4evhmHBgD25K6IPRS5BXs33wSt65qikMf2X5GMjkvR18X9Xl6QssFeYrnkxZQ1Qf3b99B9L8XsjWdE/pbg9/Ce31b4vSeSGxdvksKjbP+H99rGr1U75bpJiCF3CWW1ykXptGfYgisd90hEn5UjPssuzhLykvx/C8KNMzqvRgbZuqKOTPLd9ZhTTj2zvUkvO/5qYgJG/LOFeSlOL79FGZ+sUjCj8wI7uTfW3s6UdL/oAH6zP1UQG9+AWhB2ldYx74QgNU5HwBrSRHAKsgzLwJYBek9E44lD+PvH3dixahf5QNMzwdXfvTCMKTgE1QWmTBDclI63L2d8e+fGt0l/xp+onx86SmJnABj6Op+Qqr+rxonwPc9P9NqVKm9duo2Eyg51q2ERAP1AQMDSsPidiLC/9EV+KSOGHk9XE3TqIRPxXt9mQRuIy8rJ9kKNy8XIdETzOobC1EbkoHg5Pvj+RnCnePEl9+POyentVM2oflHjXSK3pLLRtkHZi5yYnbzKSXyHPSMWJWwxDerv0TZimUK5dFzcmKiwrz+S3HhZAwsLS0kHEjwSnDCUEz08Sxw22XsB6JIrwAHQ43gs+d56TnKCzDQT7dfPXkzdq49hJiIK3KZms1D8donjVGnZRXxWAx9bSze6d8GkzrPMvqMKRfAZIfcntHRnRHYuGgXDm/Nym6lfEDZCm6IibwC11J2cHKxw5md4bIgsrC2woP0+wh7oy4yrYrj7NlrsLQ0x+vv14ajsy3aflgPVlZZyuwDmg6XkDmzVVdfmS+SJWrP2uy+S7B+ui7ZfuRvX4vCf176UP955CVxwNCzpAr8vg2agutTdo8Ub/ymef/g1xuLtGPgi7qasODZQ1HiiZ+8a6TRsanxyJHPlSnPRN0+/fvs4Pu5ZAPLO/60rJZyYlY/+GjYO3J8EcAy/VOggLlKnfIBsH4sAlim93T2PYsAVkF6Lw/HkpA76t0fBFjVbFUNmY8e437GAzx68Bg2JW1wbOdZlPZ2gYubPW5dvi0eC0WQlKGFz374uNDDUXlovkm7HvrjKL55PYt0XKGyj5TxeXCf98mU/WJ49OgxHMq64d+LSdnOGRrghogN+xFUq0KuYTp6Nd77uq0QbkkKPrLlOI5s0XCnTAnzUYvq7OHsmYkMkd2+nChEaoY5qX5NwPHppI/zxWuj95KAmqKqx7aewl9LtiO0QZAILaoBAFXhKXJpUdySvF7x2lAJv3KTUFnJ55WPQ2kN8tCYnao2hqyHvzVJauspAJPgnWKo9IxmPnmiI4RL8vXS6Bna6xOQ/blwG45tOwUCr5faZon+EgARaFHbylQzBAam9V2GP5fullN4+btj1q7vJESl2K2rifi4Qi/RcDNkrbo2Q7/53WUTFzhLv/sZDd+uiwO/HREgqdaHItBeP28bFo3SZCPSQmtXwO34W8L7Y7gxuLYf0q1tEB11HW6P0+FS3gMRMdnHr08FN3z4eRM0aBEqAOBVy/fEM8Ykjvknf9BpKsNwc/svw+E/j8lCQTGl1ExBQFJ+Q4R/L90pfbp46E8C8hmG/jlhAZKuJ6Fbpf4CohQJkll9FkuYjt4mZkETfBkKW+uT0Nk2jntjAJLJFaQYGDJ69pZfmi0ZuwXpH1PH5rPc70V4sCp3zDvAOrm0CGAVZBwUAayC9F4ej92/8Qg2L9gq2UMUQaT+UfieSATUqogzB6OFzJl++642bMDJsf/Cz3PNjMpjM57Z7urSMfyAcmIhx4ehT4YLFfMJ88Zdl1JIfkqa9vZxgd2TRzj92wHZpXLjEClUqwgZ6jeYmkEfDG0nNQkV4weXkhG/Tt4kE2lasm7Wm/45XnqzFm7E3hSBShKNEy5cQ/fJndCiYyPYPQ0tXTodJ0W2ma2Xk/cmpw6lt4rkbMX4jOed+F6n7h4nnfXTNguZmOFjhi85WX25oDvYztw8MfrXp1dkTv9lAkpWxczWFt7dt+EwGMIlCV0BVwRQJLVLooCjLajVRS+WMulT14uZe+TjEBTs/y2rnBHP/8mYD/DaZy0EEPIZ8F4sLLLX1zPWR4YI2VP7LMWWZRryOifV7uPeR/nQsghQhSdZjuod924GQZaaUM427Vi9D1M/mycg369qORmTJJTXfb2GXGP854uxa8NR+XdwJU+YIxOPM5/gzOFLCH0pANGn4hHYNAwREddkAeRk8QSXbqTjngoYKfdHT9fiTf3gUsoOraw/kJ8Zbq3VqiqGrxuo7QZ6EBkiZNiL3Esz82IyHtn29oPfzPMzV/evAmoUEGIMzBBEsV5oYsId0eUa2HykTiFytoPPl7Zq7DrxDJPMT6Nnju8pTQ3oeE0CbV5TuX5O41fZV2kjj+kS3FenpqhybyxT9Xb/17W3WhAvX07v7PPY9kIA1sf5AFjLigBWQcZDEcAqSO/l41h+UL59fTwePX4sXB/yeMzMzSXbzcHeCtdIMAYQWLsihqzqYzQ9OR+XfuaHMIxAIUIaQ6FUjKZJQWffUvJ/8sbiz1+HU4PKuH0rBaF+Lghfo1sQW6kpaMwTxXR2Y/ynS2fiMOuLxVoRUEM3PXhFb9R9o6aOds+fi7YJkDJUfLcgHUevFFW1aeSxMPtPf6UvhYmbDteGJlnwe+I/w3IsJWKsTZy4v2w8XDtR1n29Okas+0pKmVAbjBOYf80KkgFG1XkHFzsBv5ScIO+FXj1mehLg0jNYsXo5oxpk5Ii17dVSQCBBdH5KmxiqObd341GM6zJfZ7In6Gs/4DWkp2TggwGvCVDcuXqfTjeQW0cVf4ZVDdW547Va23SAe3k3qR9Y+7Xq0h871h6Bq4ejhOdXj88i0Yt+nburKPzTvBqEID5GU2bni2/a4PfVBxETfUMLJuo1DcLX495BcWtL4V2+bqchaNNIBl9ybrp2fK0cvVZEShVT5EtG/zEENV+pXGgcLKrlR+w7L2OPxtA5gTy5kfSqE1hTekLf+PvS6Jl55vzlp4agOuQ3tsNU7Ft/2GDonxw2Zs7+LwMrpZ9fBMCq8tGYPCu5n1g+9LnUSyzIN/b/sXcdcFWVb/gB2bJkigxBBARc4DY1Z2llrtK0YY6Go1JLK9PUzJXl7K9ZlrbUzNQ0K3PvPRAHIAjIRkSQvf+/57uey2Xfy0VRPO/v50+99/vO+c77nXvPc9/3eZ/3YZ4rA6xa2B22maBo6Pk9ASKFQBJss/YkXivEDYd+8DxGzRte4w/7+3WpJEsHnwnDjOcWKB+KpcERGzqzR6NfHz/w61zHzgr6+Xk4+5siFSSZaiug8jhcJLgzykMNMUoqUJ/Ip6MXmndtJiQfOvZvgz0/H8bG+VtL9CvklzJlHKhFxpYm6ghSauOv/Lx87Fi9G6snKZqcUqqDDX6XHftcpDh+nrcVz73RGzaNGuDQ7ycEYV8qhyfYmf+P5mlBnoeRpomdPimx9BHTB4moniQKSwDHaERGapaySrD0tbbr21qZclV9j34kv6n3K90EH001LahpGpPHLS+tePl4CKb1Xyw+G6Vt0Pg+SAiJFhW6qkZiPqs6Kyr44HlYHfrhU3OFLMqIjwcpS/2l48x4fhFO/3NBiANLXD/Xlo2hb1ofaRm5SMxj8hZo7t8Y81aPFODkVlwqvlvyL47tu4qho7ti9HuKSkHyJ1+0H1tCWqTXy10FCZ6AgpFWipBKxsgXpUbsGtvg65MLRBSRpi2Y4Do+e/Er5GblCm23ioo7SvuZYLA8zp8UoVJN80kRM+kY1VkzjxEVHIs3mk8ud9+5J9vvKCLB1Tm+Np/l+zG3VgDWK9UAWL/IAEub/ZcBljbeq8Zclt3PHLAI7IOXHJciHrz8or544Io42pBJz4pU1aNiSTG3Mc5/mqgmojGqwTRY5OUoUf0mGdMJfMilZBQiLkJBYnVuaoeEoEhkqozjw58NemkEUqUbY1fFr2IqxqWZE6j6zYfL1eMhQktr7o6PRIEAU0ulq8u09TVTo4wGDH7vWXQe0E4cLuJqFFaOX4vYGwmwdbJSPtha9/AV7XLibyZj5JyhaNW1mRi/e/1B7PjmP9GeJt/ACEPH90L7Xs01XhofoO91namcxwcXQRxBHX1iYWMmUoKMXrHKNeVeyxZOIOga/vFgEXHctGibSF2RcyWBDY5RrSbLysqCsbGxVnyY0hEPguaJT85Fjxfai3WS7H5qd4CIrtEcXKwRHaiQUuC1SHpzXx6YjVZPKlJWqrbr2z1C2oHVpKySbNbBE7djk7H2ylJBXCfnSPV+YPVm5NVorHznB+VhKBnh1aMVLgQXN722tjXDL3umiof9xVM3kJGejQ7dvEq0XXrL7wNlFLfNU63w4Y8TRSUstZ1UqwdLr5mflcX7Zmmcbq3oZqmM16Q6h99D5K5xj6kqX9pUI00SqJI4VZqmsctbK3t1fjvt53Ivg4T3Lbd+UBZSaPzBeMgmyADrIduQ+7QcGWDdJ8eWd1h+KS19a41oh6MDHeTn5glgZWphgiatXHEzKFrwc1S5RQ9wedU6VXhgJN5s9YGYyyiV0CEy0ANFHdlrLyU+RaQF8/LyEXTyukJP6Uw47B0tkZd6V1y7arsdgiGSiy3tLUo8/KXFVSaxUPphYWFjLrhY3h09RcqtusZoVNqdDFFqz9QZ27Iw6sh+gnzAfvLMPPGrmw+mt5eMhGebJuK873WeAWevRmUiQYzSmds1AKUPhkx4CpcOX8O6TzeLX/A+PVoiLCoVv5+dAyOTqtW8SdJm8YBkFHt9zqxYYZ33nJ6ermgwffloEKQqSSkNy5QL18i2JFPXT1QS+fn/uUOXKOQ2rkaLXn/2LraiR+ars14Up5MAVnX9ynnlEbLpW1XO2+SnFiD0UqQSZNk5NUB6ShbsnRog9FSQOD33Zk1A2c8O761f5v6ubE0jXT+viwCSYGrpkbnK6twdq3Zj7fQNSnFRtm5y8HIU0g5O7TxxPUJRecp04KdLFfyk8mz/xiPYuGC7AKsE9f1G98LgSc+KoUwZ71qzRxHd0oESwFJjir0+CRprMh1Gjb1XXMeLvqblGX8UdRnUQdwblSnhlyas81g1QTaXjkHRWFbSVmQj5wwT3MvalLDQ5l5XnVsbAMvvZc0jWBd+lSNY2uy5DLC08Z4GcymaxwcWS55JHKYYqQBWfq4IPhUqvvxYlfP2VyM1OGrtD+WXIwnE/JVc2a9yhvipDu7k7YS7SWmIDY0TpGOpxxtFUllVSVI5rSIxUPKDsjJykJ1ecU9DzidBvPOAtrh5LVb8Kl55Yn61nEWgSB4VFcRZbs99+v7qMpGKo1BkaWMpPoEd18mHtyB+5xUoeS4khpPnVaBvCF09XRRkZJcgard8vgPCw25j06lPBVAtDTak8xHALR/3HQ79fhLrri1FI/eGyqV80GuOAG3SA9DGwVJEcMjrI3iVeH7spzhpzZtC+JacHO4FH15n/wvA0je/EeXyjEZS4JHXLKVmGHXKSsuCYX1DjQjt5W2AuhVvX477Hns3KYogJGOVp3dLRwSdCBY8sE7Pt0PP4V3KRCkDDl3B1J5zxJij91oAScfgZ/GNRa+IFP2HfeeVaEnl1twFVk7WOH/gqhjOiFmWjTXy8gphYWGMHu0cBbfNw78JHJs6KAEUx5YWRaXvWJEn9aykYOacIYtx93a60HXj5+OjX94VxQJbvtopqk5Hzx+hFdld1VcEdbyPyzMCTN4LVVlNgKmKzkGuGKtPuT9MaZZnLHhgy6HG93o2PsqpwloBWCOqAbA2yACrqs9FZe/LAEsb72kwl2KOX45ZpdDC0asnfiGHB96EdwcPoU7M8md+wVI9+1EzVtu92fL9KpdNlXpGDfQM9ZQyDORZkRtCbhSjQ5IwaYtn28CgsAh5mTmCn8T2HJIxrcromMRZk15nm6Dxy0aJ9kP0K409IClJwOoxTY1ikL8t3IZDW04gOz1HgKXGvk7watcUe38+XK6IKqvCSPim5llMaLx4oPLBIPbY3x2mFsYIOHAZzbr4IPRSFAoySwLFJj39RUXZsyM6IuJiOKKvJ2Dc4pcRF50MSi/s/HK7kKYYOLEvdn6zR8g6vPLJEPGA5h9zK1PMeXGJSFlK1qKLl4iOESASXLG6k6Bp4Lv90G1IpzJuCT4TKnz+v/fWwdzGDE+P7IEXP+gvABYBkVT5pUm1YGUPVgODspE6AkumJz3bKMjZ29fsxTelWtzwde7JpOWvod/IJ8U4RhtZnbfq7BfKU0qprcWjV+Py0WuinQ7BGRuFvzD5OXFdBKAfPv25qPDluQmCvzm3CF+88S0C7oFVHtDv6VbIy83H3ahbiLhUrBXGajtW3UkmCe5K/2fqevqGSaCeG9vPUOC1NHeJESSmsingKV1bTYEI+mVCu49EtJifOX52SG5nmtTBvSHWB1ccOVLdu/sJsqR04+RuM8u0h5LW4N+nJXq/3A29X1V0Eqgp/2j63aDt+NoAWP7DNQdY5zfKAEubvZYBljbeU3Mu0zZfjVmN+Ihb4hcvjQ85lmUbm5sI3auB7/TDhOWj1TziwzWMX7qMXr3ceFyVzZ6llRPwSG1YmEZp2s4dAXsDBe/Gs68/0urpIScgXPiID0OKg1rZWeBOvKJptlsrV5EaCzoVoqw4YnHAG1+8WmPOmdp7Di7uV4hQMv2ZnpoheHMk/7Jar7Rx7V7tFBpe1NNiSpTpFydvZ+TlFiDoQiQ8Wzoh8ECgaP0TdCkG9Qrzlakvlsyb+7gL0VlHVxtEn7uOFr1b4nJgLBycGiAnMhqJocVNil28G+FucmaJvpcERKn3+HDS+tiHkaCUiuOSkRO08N8Zlfpq7y+HRVserksisGdmZsLEpKS2ljYOz8nJgU6RDrat+Efwl0LOhYmK01N/nRdgQEoLHdl+FoveXFsC1BLMDh7fBy9P669MKTIdNtzpLaHqTi6TdSMrUSFJYP/99A3YtOhP5XLZ92/yt2+WiBLxnASqt2PuIC01E7OGLhPjzRqYwMXDHkX5BSLVKhnBEKN8TEO//dVrSpI9ddmmP1McNZWi0wSn/DHC6KaqEZTze8C3SzN8dWCOMvVWkwCCoJldFvgZIWfy3H8BYDEDr0dVz6yi/SwvRajN3peeK4E3RsRVezSWHsdI66Q1b6HPa900FratyfVqc6xaAVgvVQNgbZIBljb7LAMsbbyn5tx/ftiHdZ9shHtrN5Faof6MjbM18nPyRS8yRjt+Cvu60ka1ap6qVocxBUG5A0bnWLFnZm0q9JSkfm0kFDdwaIB8QyPoO1gjJikVyZl5YK1YUzO2BwGu381FI3MjpBy+jPQ7GWWux97FBvEEXRxM3aIO7rh2IkREHejHrbfXKVurVOUM/qrn2tgX0smzkfg3hVCpC3Ry5zmR5pEaTPNXP3lW1OZiiiLwsCJtRLNxshYpQQtrM5FeoxFAM0JJa9GjBa6ejRAPzabN7EV6sXFrd6TeTkdaYnHUzrdPawSFJEFPrx6s6+uKqkMLD2fRcNkgIR5pSSV7Ozp5OYgHTGpyRhlQxfNSDd6ulStMjPWRGZWEvJxc6OrpQbeeDkbOHqZxs2iCIUatqlMtWHovCDT4h8dTlbLgOEYiVdsgkfBNrtiKyT/j7/WHxKFYHNCmd3Po6uigY79WInXLZtQtOnvgr2/2CN4VtZ2k470wpT9Czt/A7nUHlUthCnZn2k9i3xmlYjFCoyb24n3u1aoPfsGONXthblUf+jqFYj9UU9dWDpbiPmSEdPCk5/D63GFKMeAJ7T8S+yzZ5zs/ErIQ0ddjMcrrvTK3ZvdhnUX0+o9lu/D16YXw8HersfSg6skk5Xz+XZnqvkhtFxSI65P2+35GrySf83wrJ64FuXDlGf3fc0QXob1m3bBBjXDAqvqeuB/v1wbAajNMc4B17jcZYGmz/zLA0sZ7as6d88KXQs2bv7yYsiLnhb/WycOiUQOHJe9sA8EH/aNsjCDMfH5hhdpJjPIY+/mgcXNHXAhTVAtKZmqoBw8jXVzZdb7SBruqooRUfe/50hMicsTUYFX9Aa+cCMFXY1YJojofGGy1w/Y0v0SsEhEeFiHwwctoo6qxutHMykzsoWrjaI7x69VcpLMYLQm/dFOof7MyjQ8DXQN9RIUmIC2luCeilb05bsenwrttE1w9eg0NGlnhTmwymj/tj2tBicrolZufGyJiFb0avVwtEHwoEAW5eSA3yNzWHNfPhQkem62zrUhHSmbtaAXbTl4ITM1BIQGehSGCfzuqfJ86WIX5haLhto6urkiTPTm0c5W3HQFWdfoNlndgamZJiu+sHuNeMIrD9GTw2RslACyrSZcd/RyHt50FuVjcA0s7FhwoAFSLzp7waN0Y29fsw864VQpAX1CA76b+jB2r/1Ny3FhcYGFrSfiEwCNBmLNtKjo/3xZUhh/faSbm/D4Z3u2bKpfLyPPl49cRHxYn7gsao6ksZiCw42eZPDVGgeb/XSyNwcgfOwCo2muzhqJ1z+bYuGBrmaKHp1/vIToRsJ3O2OaTRZqQILMmo1fl7QFBFv3OCkBVgVgJ/KoCaQlc3c81SYCO66FkCVOppY3RRUpOsPUOCxUoZ8ICh5qoYqzyA1CDA2oFYA2tBsDaLAMsbbZdBljaeE+NuRIJ/O+1+4TAJMuf2a5E30hfEI75hUGCMtNl5EMsPz5PEG4fZTv42zHMG65IrZRnTr3bwsTWEtcSFRVZujqALwoQpBIVKm8ev9x9OjZFBCvKcvPgzBY2X7yK1t3LyhmU7nEnHe/c4WB8Pv5HuDmb4/J/CiAnKVZ/9+Ev2Lz4TyFUqaoiz/Qa+WHcrwYNLUXEgkbCOgVVKWPAvTV3s8fJDUdERCsrH8jOKL9qi3Nb9WmFsIg7IvKWk52Pps0awqqBMRLCE1GkA0QERMK7qzeCr98SDxOaaxNrpF2PRAF00LiZIxLC4kWa1MLOEgX6lISECwAAIABJREFU9VBkWR+5OroIS8tBTgGhlcLczQ0RtVkBsJhqZWSLwIwROabEyFcbv3wUmrZ2E1ElqqsT/EgPU7Y6IrBgtKkmHrBS30KJw3X5WJAQqKXMAtN+/3y/H9kZ2SXEJknETkvNwpyX/0fiDTz9XRFyvpgDxc8Or6dVVy80crNDSlIaZv0yQUQUPx+2pIQeFf3Qf/zTeGflGBzZdgbfTPsVTKP+ErIM5/Zexo41ezDrt0mCz7XwlRU4u/tiibWIQgUDPWX130sfDcSY+S8r/R15LRoT238kOE70FyO3Q6c+LyqGCf7YWzLuRqJIfxOEU2Lip1mbMfnbtwR3rsOz/g+8Uk41YlVZK5v7/b0kgT7eg+EBN0WbI7bikUykulVStC99OBCvf/5SjURV7/e1qR6/tgCWnr6R2peZn5eNczLAUttf5T6zikozLbU63MM1+UHexOVdOV27csJa/LXmP9G8mb/OaQRVLJMPOhUqyueZJqT8AKMmbGT7oko7iIfLo+qthsrkP87chM1f7lBOsHWxgXMnH+gY6CEhLR+ZqVnINTdAIyNd5F6Pw83LinRaZcYoRfBpBfeJRO8Fu2ciN78Ivm3dyrSyCTgRil9X/Ie+wzrCwcUK3v6uAkwd2nkRN67F4vc1B9DQwQyZETGioS1TmmN8JovUlOqXODORFrYWYEsZfvmX1uXypo6Zix1y8gsRVwAYXAyDlaUJboQoFPlLm1cbN+RnZSPD2Ay3E9Lg6W2P9OgEGNQ3FgUQl/4+K3hojVu6il/muVk5yDAyRfj1RHh3ckdgcHGkytTUEE0amqGegT7yjAxwOTIBufnFwEr13K0Lc3H1XvpS9XVJyZtNhvlgl9TY+beIWkBHEL5rAlhJ5+Vx6Ut2MqC/P3r68xJuoh8YwSGvjy19lh2bh6N/XUDoxUgEXwiHs4cDwgKjKr1XCLim/G8UegxpL6QQfp7zO6ieLhn3m1GxXd8fwKbFO9FvVHeR5t2w8E+079sKn22ZUmHLFkYzKd/AwgF+fvnjiEC//7incXTHWSx74xvYu9qICCG5XPaudoi/EY9b0cmCy0eweuVYsOCIUdZD6u/Htd1vnlNVn7GH6X3egwR77HzBPqPl9Q9lNJGfXwLeRymK9SCfTdK52gydBxlgPdg7XI5g3Ud/s9R6kJVCNLRFNx8BsBjelsy1hYtITzGaQOs7uifeXPyqIOQ+6sYHBTlI29cfRsz1OOi62CMq9Bbu3ErnU0RcnjEfpAaFuHGimDSset2MZvDBzipD304eCDykEGOlMQJ0MyELzdu74+OvXxNpPclyc/Lx4YjVglROm7Z0BHoM8MfiKRtw6K+LogJRssYNdDH91/dwfu8l/O9dhbik7xNeyiomRnwSo24L3hUr9AiGVc19aBcE3ymuBLSzMYNhQCiS49PKbUHSzM8FUdeiYNfWB/VNDBDwR7GSffvBnXB6a7EUAYnyTOWlZ+TCztcNuUZ6uHEzBbn5BYK3RjfWN9JDRlaeiOrYuVsj4XY68u7518XZCm+81g0r1uzD3TsZ8EhJRcixkr5mheNXB+eIysiaTAFWdf/euByJt1p+ICrmyEksz9o+1QpPvd4DJOQvfvt7hFwIFxIYN4OLif5VncfV2xHfHJsNVroe2ny8BMjq+mIn+PVuha8n/ajkCTL9OG/7B+J+Y5qP0RPef5IRuImKVCLvoiLRkYHG19la5npgFJaO/h/S7l0Th1Ec99KhayK1STFXdj5w9XURemkTVowuAV6r02qmKh88yu/zeyTsYoRoK9SkpatIsZY2pvvZkNzIRP3oTG37pFYA1oufaw6wfp8ht8rR4maRAZYWzqtqKr8cFo/6H/b8dEhwrhgZYS81Ag+mDVp190F+XqEAIKyMG/X5cIyYPriqwz5S7/+99SyWz90Jp9ZOSI24DedmDrh6UvFQojk4WSF2z2kGGUoYxUmzdfWRejcLLtaGuHosSJDYPdp7iKq222n5SExIw7sLhqLf8JJSA7t+PY6vZ24VuluZ6dmY/d1odOjlg7SUTGz+Zj+2fFtMdG5iZwCdIhKuixBxmfuSLyr/EiISBYChPpBOPR1RGci+fXbONgi9GCGU0G27t8C15CzY2pihYWEBdM1NEBB5Gy0sDZEdloCb1xPK7JVnK2cU5uQKsO3o64LMlHTciUkWsgl+vVqADZlpBB7Sw1YCIARBYRfDBUB0aNoQVt4uyI5PFlIN+lbmSLoSASuPRrhQVE88/3//cZxY2+SPN+F8wE24mRshZnNx30cSr8kLMjQ2FJGrmkoBqnOD8rOxaORK7PuleD2MoLGSls2qqXbPVjLUPZJS5ge2nBKVhJoYAfqgcb3Re3hnIUz63hMzRAUfq1CjbySV6HfI4/r18MWCndOUoOfTgYtwYsdZAcAYQSGXkh0KqJ+lb6CPc3uK01dj5o/AU6N74ou31iI1Lhmhp0OEJALTj5ePBYvPP++zoFPX4dPRE/pGejAxM0HL7j4Y9M4zInrFPzVRRKCJjx6VsWwx9tPszWWWy4KAL/bOKtPj82G+rtoAWG1f0Bxgnd0iAyxt7iMZYGnjPTXmRl6NEnykQp16KMzNFdwePpzJ3SGp2qt9U0QFxYIaUeRmfXN+sVIHh4evSGhSjVM/FEOmjP4e0TeT4ehhh7ysPMTfzYC1oSGYRowNT4KnnwtuHbuMO5GKlBojAV4dPREZl47srDw4OFog6sQV0e7mrq4xsrPzxLi23b0xbfkrMLMoKxkQG5mEn5fuxrBxPTGu75fwau2CZdveE2X304atQkSIIs3GFGHs6avK0n8pNUjyLB+kBFg+nT1FKlcIcerrwX9oZ6TnFeJaSjYKCMBcbWAYmYD022m4eTkSXk+1RkZUEqKuRsHnCW9cOavgCTF6QcDX2KshkJcHtmSh+TzhhavHgjFv13QBdha+slyI0fJ6Iy5HCZX16JBYsRaq27PK7eoJRc9Kj7ZNcP1sMVjlawReke5OsLQ0wfYNE5GVlYsXX/8G6ek58LAzx93/zgkOma2TNVacmCeI+RLhvCbTgOrcfCSJn/77vFgDoxTPT3ha6ETRCDTYyofrlNb19/rD2LZ6D4zNjNC6azPsWHtAqbhe1fk8/Bpj5b4Z+Kjv5+JcBbr1RC/G0saoqVebJhjz+TA0bd0YswctFhEsdiyob2kCm0bWIuVIwE2pjSsqEUGS8V1buiHpdiaiwxJgY2WEotw8UGSYHD1eBwtbSNAnz4+cPqa6LazNhcgwdbloD3ofqvLdw/D+8T/PCJV31Wgi10WqxZf7Zz9S4IrrrhWANaQaAOsPGWBpc//LAEsb76k5d95rX+PwH6fh0doFt6OShN6NassXphzIRSHh1aONGyauGCN4L7vXHxAVS6wsVE2BqXnaWh9GcPjmi6sQfa/3IBfk5tsIielZ4oHf3MtBPKyK8vKRExqP5KR03E3LRlGpJr9NPWyRkJCGtLvFqZopXw5HnxfaV3iNfEBTPHJMp9nI1zPA3PVvgJGtfVuLBTh9mjbApb0Xlccg6GUkifwapgyZFrRyskHA3gB4DuiAm6gn1mdsrA9POzOkXgpH9D1OGInjjHCFng9XHu/FD55Hy54tsX7OFvh198GzY3rg6LbTeGHyM/j46c8F6dmtpYuoPJy5eQq6vdBJNDHev/GoUnFclQ9GvSUCDvbrIxmehRKUwSht3r1aoH2P5nhl+mARMTl19gasrU1hUlCAL0Z9DSt7S3z487uiYXZWZhaMjI1q5aFOYMdoTXW5M4e2nsGCsd9WeZ/rGdTD4Ld64rWZQzDUfgza9muDQ9vOVDpv6JRnMWbuMDFmRv8F4jNL4VlVf0sdGaQDUQsrOCAKNk0aIjlRkfa0NqsnZB4YoaV8yc1rMcrzUn6Cx3jbbyq8O3ji3dVj5ehVObtCzTm2o2K7qtL28S/voueIrlXeAw/bgNoAWO0GaQ6wzmyTAZY2944MsLTxXjlz8wsKRXomNTMbVqYm4pf4N0t24dq2U8jPL8T1gEg4NbVHctQtZRUSCbd8sDN1wZQC+4KRCHvy3wAEnw/H3C1T0KJL1a0savhStD5c0JlQrJq7HXnxt6FvYojYPD00Nq+HAnMz6NiY4dr1BOTlFYjzdHA0x4WjiiIAdaz1Ex5Y8Ov4Sodu+GIHdn5/ACYOtnBsYofzR6mXpeBf1dPTgUVehqjkkoxSD8FnwgThnbwrnxEdEfbXZdi62iKnhZvgO5nm5EIv4Q5CTgSX+TVNcratk42IONEmffMmnn2zj6hA40NeFUhQlZ2CkwSBfPBujPoGNo7WYh4J2T/N2QxWSFF+geK0XFPElWjRIqglmxoXFSH4bGi5AIvH+OCH8WD5v6oxarbs7W9F0+PvApeISCkr+kjo4v1WXaCjzn6VN4btUUqruDNCcXp3ADz93eDgZqckfVPnim1kuC8r3luPqd++iX9/OYp1n5Xl5Kiey7OFI4KPXxMRyDnbpqFVD18c3X4WP33+B8ytzISmmnF9Q/HHv3dLkcp/+tVuQjyUDYYJqmYNXCSqSKnLppB6MBeR5bTb6eKHEasFad5PeCP4fAQauNgJbTKanZMV7kQmwL6RhUhBq9qc7dPQ+fl2IsLFKLZrC2etWw9Vdy8exnlSRSG7D2xauB3k5BmbGQs1frbbYuujdn39HsalV7mmWgFYA6sBsLbLAKvKzaxkgAywtPHevbl307NhamKI/ZdDsWb3KUFCTkxNx1evPoPj+0Pw178X4XI9GnGh8UKSwZFpn6AYpZgiuTVShSGjKPWtLcSR+WVNAvysje+ic/82NbDSB3eIA5uOCcFA1f6EUik9V+Hs44QkZ0dkZOehvoEe8o8FwtG/KaJvKqQbKjNXLwcMfqN7pREszt+36TgWv/kd2vVvh7MnSqbSmja1RtDe88rT6OjpwMPfHcn6BcAwH8Tp5SG3sAB28wLQ7JnWuLz5GHLSilNKJCuziIHgSNVUFer5OkUjvdoq2r2UtvFtp4m2K4zYrb28VPk2OXtstswHMEFPWEA4pvX+TPSto/EBT7X2Zu3dERd+SykySsJ6fcv6Qij1ecoQfD22xCkDDl7B71/tEEDiubefgoGhvvJ9RrKMTYyrcn2Nvk+AxXQYuV/XL0Tgq7fXCpmGoDNhsLK3wDvLRuLHuVtFSvDaqVC4t3SBT0cP7Px2H9yaOyM1JQt3EkuKr5ZeoK+/My7tDxQvE6Q+NbI7EqOTcWzrSeUPHPZoJC+KPQGpEK7al49aWEzdr5uxEXoG+rgZFIMbF8OV0hlM4Vq72CHfwADRlyJEiju7UAe52YrClWatnHH1yDWRwsrPylSek+8991YfvLf6TTFOqqyU+VdlbzGpNVNdSp3WBsBqP0BzgHX6T/UB1oIFC7B161YEBQXB2NgYnTt3xqJFi+Dl5VWj3xuP0sFkgKXFblH1e/veS9j411l4uzdEYMZthN8uBgi2ZvWhczldEKdbZWbg2j1hUVYUUgncyasRbB2tkJOdJx40/JUdHpJQQnPHw88Vyw98WkaGQItl3/ep/HX/tv9UwSGqyLy7++JKkaF4mwKjeUcD0ayjJ66F3q5wzhN9WwpA0q6HN557tUuV18EvZgKsmPBbuJsDJMQq9KvEg8/TBpf/U6QLjRuZw2h6V0QiC7ezskSFnmQDIgyAwEQRKWIEgtEoyRhtLF1VSC5ddIiiyo1keZK0LW0VgLm0UctrbPMpQmBz8d5ZyrcVAqi5SlVwvsH+bJL+D/lcFDPlmghImrRyFeKnjMC9NnsYPnl2Pga/9yzGLVVUsKpj9JUk0aDO+JocQ80jiobOfXklQs4Vp1irOgc1ycxszMXni6BJ6mMpzWPfR4PCXKHArmqMQjFSxj+MSqnuY5fBHTDtx4mi4wKLUZgmZu/CO4mpQl6lf/1XRJPrxt5O0NGF4Oe1H9gRIbEZuBsYKrh2gpt1PhK+bVwReEDRaonGqBgbvLPtTlpyGuJC4/Dtpa+EBAg//3UJQFS1d4/7+7UCsJ6fq3EV4ekdM9WuIuzbty9eeukltGvXTmjpffLJJwgMDMTVq1dRv379x3LLZYBVzW2/eOgK/g2OwY59il/HNEtzY+Tb6+FuTg4am5ghOjMD7cxsgfhMhB4OgbWVCWzN9HA7PF5EsAi0yO0wMNJD5NUYoQgdcT1RpBys7MxRUFiISStHw7eTZzVX+eCnZWZk48vxa3HkZ0VLk4qMulgJrs4K0UgbE4T9eUoMbda9Ba6XoyHVplszzFn3BtZ/8Ree7O+Hps2dlYemDhGBF/WJmPaRLC48EYvGrEF+QRFy6ukj5U4mGjk1wPWrsXBp2whXupvCUFcX8dmZyMpXRBxUzcPUEkWT96DwXjSCHBvVBtMkw6uCSD6I0+9mijQejfwaEnArenBSyPJ1z3fh0MQOi/fNrtBXBFxzhizGse0K3hC1lPga7xNGrQryCmBiYSyI0+OXjgIr3yjaSeK0JiZFlCSFdU3majNWit6w8IHpv/0bi6Uq1D2url49IZgaF5mkjGo5utkgKTRGpGFVjRE8pl0Jhij8SzX7xJu3lEDMzMpUACz695sLi4VOVVLMbax45wec/POMIKYzzcrCA/LgKCwbX88UPp42iL14A5wfE5MKR3c75CSnlUhDcx0uzRph+k/jRbqzdQ9fwfmTwZW6O103xtVFgFV6Z27dugU7OzscOnQI3bopmnM/biYDLA13nM1o2cIh38kae2PKRlscbM1hlFaAuNgUkS6wszVH8rmbShkCKxtTJB5TEKv5RS39gqZaNnVcyC8gT4hVZLO3ThVtUR4li4q6jdGvfQubsEgBHiuyhu4NEevUSHCJ2toYIYnVlbZmMLa1RGZGLm5HJorUmZ2rLRJuZ+H7QzOEcjqBVGnCv1S+zabRTI2xxJ8tTEytzbFuzh/w7eqNAj19xIfFi8bIHu3cke5shEPuJdN70lotDA3RPM8YRfsiEP93se4VeUos1Sczn0CL0SMRTTLQEwrvlNpIKZWy4viFu2eI1jmlLfhsmNBaMrU0wYrjxY2BVcdRv+mPJTtx7r9LsGtsI/rrxYcniGo78v0kMEeJh3m7PhbSAYlRSdjxv38xduErykOxCm5G/4Xo8Iw/+ozsDmNTIwEuJCPYYwNgRnUaudvXGtmaaddT/14Ukaztq/dofOvXtzBGVraiBQzNo4Ujgo4U66fxtdLAmK9Rq4qVgarGvd2c8B0MDA3wfvdZKCgoRJGhERLjUgV3kKDI3sFC3JexGYXIySmAkaEeGjfQh3kja9y5mYgbF8IFAJbMyNRI7NmgiU9j7ILhQomfJgMsjbf6kZ5QGwCrQ3/NI1indqofwSq9IaGhofDw8BBRrObNy3bbeKQ3UM3FywBLTUdJw6RO7/4juiDN1hwXY5NLHMFIXw+mGYVwNzNEQNxdtPJyQNC+kuKOvs0dcGnrUfHrVTRTNdDDmX8ugFwQPqxHzxsOn85eD5x0rKErygzPzc3HhHE/on7qXVzZehzOzRrB0MgAhff6nRGAUKH7RkAkzGzMEOvsCD8HU0TsvSCADwGSsaM9ksNL9igcOm0AxswaUuZ8yfF3cH5voEi3shVRabN3tcWdlByYNjBFAycbRN4TqKQ0RtxztjibVrLfIOe3rG+FvE8PIicpQ6T4SLAtbTN/n4Jvp/4slMhZ+bn8+OdIik4W1WDlGYnuJLyXNvKstq38B216t8QrM18o8z7JzzOeWwBWUTEd2NjbEdlZuUKskkrgFOA8d0+d/aWPBoE6TBUZU4A7V/+Hr9/5XgxRTSFSd4pNupkSI8l7xPQheHXWi9reDlrNZ8XYiy4TKu1JWdEJGBm+fDJUzPX1d0HggeIos+ii0MpVkNSpZyYJ/0rRSabwnJo5Cs21m0Gxglj/xMB22PPTQZHKpcQD7+EsXUOk3y2OjBHEZ2TnI/xGknJZ9o0sYa6Tj5AjxY3Bvbv5Ivx8mABZlIIY+r5mUUatnCpPfmg8UCsA67lqAKy/ZiIqKgrm5uZK37EfaVU9SfnZGzBgAO7cuYMjR4q17h6aDXhAC5EBlgaOzkjNwKSuM0VaiBEEXcN6cHiqFfTsLRGWmonku5lwsDaD6ZkwNPByRmR2AZqYGiPobAQKKZp0z1yb2iH+eIB4gFOOgb/aJ64YLThZDewtS5CPNVherQ/dueM8li3dDVtTA9S7HCbEVKW+faqLY7SnYRN7FDrZIfVsCOJvKAQ5fbp4IyQkCbY2JkKGQLKRs17AiGnPl7g+VuGtnrwe+349IlIyjMawp11piYfmXX1w9XykiDQ169wMQecjhEq3joU+rnSuD4frWbjoXIiUPIXcwRO6loh7/x/x79JRDT50Z2yajM4D2uHQlhNYOf479BvbWwAbVuONb/Oh6O2nauRkvfHFq6JarLTNHLAId3SMMOmzgWjasnGZ95ky27psl4hGEayywjEjNVOMI7i6uD8Qvp2bgVprLCb4IWg5HJs6VHofjPSYiNiwBFG1+sL7/QWwI9hgdEsCa4zMfX9lKexcbGv1nvrw2UW4eI+3qO5CCBC9Wjnj5rVo8QPF2rFBCekM8q+YkmM/QPLp8nPyRfQx6PR1ES02NDHChf3FvCkRcUrLFCKh1O1i0Qk5XfzsFpjUV3QmuGdNW7ngenRJVXpGsZ3N9RBxPkyMcm3TFBHnFNWyMsBSd1fr3rjaAFgdn9UcYJ3cNbOM82fNmoXZsyumNHDChAkTsGvXLhw9ehROTk51bwPVvCIZYKnpKGlYXHgCvpnyIyh8x1YXbJXBL9/wkFg07tMSt69GI+FCBDqM7oXUmGSER2fA1bMh4m7eRma6IiXl62WL+EuhQnCUv5BZueTkUfmDUcNl1srwv7adxe4NRxCcnI3W5nq48KdClbw840OcnCGptx8JwGlF+gKIsjzeAAW4dVMRDXh3xet4dkzPModhdd3bftOUr4sKTHMT0RaFqVfJDK0skJ9bIKrRvNp74G5SKsLu6VV5+bsip5UV9rop5Bu6Flgg5qN/xb/LI7ETmKw4OV+QnNnyRLWt0ald5wRQUbV2/fwwf9f0cn0wpe989HvrafQZVH6F6NFtp7By4vci9cgKOEbMaHxov//DeCx+/X/i/6wcbNLSReinNSkHqEknJ5Bi6yZVsUaKm7Z9qjU2LdwqOEUSgHt/7TjRuqk2LSYsAUvHf4/AY8FqL6N5ezdcOlgyJcjKzqzMHDRo6oj0nEIUxSbgbnK6aObM+4X3HiOCtJbdfHFJpR0Se9zl5yjAt4WNmdBiIgeOHC6vrs0RcqW4bQ+lOCiSGx17V/D9JLNzsEDCMUUUzamVG+KvRQmgNnb+S3hx8rNqX5s8sO54oFYA1jOfaUxyP/n3pxpHsN555x1s374dhw8fhpubW93ZtGpciQywquE0Tpn+7HwwopWbmQsDY0PU01dwKSQeR/t+fjj9zwW4dPdDPRNjoeDu7usI3bxcFN1JEVEqkmvn7vxICD7WBSP4fM19olJGQLom/tonGZs6X6rGyM6eHw+K1327+iAoqDhq5dnaBSlRiTAzMxRg6Ydry8qkTNliaO6wJSJtU9r40GTUitEGR08H2LrYITosUegZqZpPOzcUNTBGaD97XEu7gy6nM5H633UwvWhpY47Ao0EiOkaNq+vnb4hU3c83/oeGrnZlzsko1gDz10DNJsmY9l15onx+1fRhKzBq5mB4NC/7C48pvbdafYCIK4pKTAnsMYrGxszUBPqg52xQekGyrbfXVdnHkv34vhq7ugTIIngj0GfzYskIvKguryrlUBv3aPjlKMwZvhxWtmbIuJslKkJZNShxrJzc7dHApr4gpRMcWjk0EB0SJGPa2crRCjEwFul4r8aWSAuLhrGpsYhiZWfmCOCUEJkk+oL692kl0tXhlyKFSCvvo9v3uJaqgJvtWUwc7YUivIG+LvLu3IWxuQle/WQQXLwaibWGXovD4X8DkZKcDlszfez5dg+a92yB7LuZCA+IxBf/fixkJ2R7/DxQGwCrUz/NAdaJfz5Vu4qQn0mCq23btuHgwYOCf/W4mwywqnEHkOi+csJaIXrHMn3+GiUpnZGGzLtZIqJFkrWDtwv0rC1xJTAW9rb1YaGbj8Qb8WhgZyEe4GwyXJfIrZnpWWDne4JJajaxdUjw6esiMqKqXE8OS8tuPpj87VtCfiLjbiZWTd+M/VtOw97ZGraODQQX6OLOk8pG2C9M6Y+3vnytxG7t23gU/60/gPN7LgkBSJKN9Q0J5KLEPhAYUUrD3s0Ol46Fluk7p3ow82a2SH/LF0Xv74NXS1fBe2rqz1Y0itQOjdGOF6c9LwRAy9Mr+v2rnfhp1m/ioS0ZI3XfBnwleDulLTY8EQ6uihL98mzWoC9EpJTGggg+7J8Z21vwp2hMa73TsTg6xorFVt19q7yjKQHx82dbhGo8K+yYXpQajkuT2UB3we4ZaNKibOqyyhPU8ABGsqb1mi0+UwRQ1JQi0Z9FB6WV7Bnds2pkJaKgesZGuHE1RvAAPTp54vKNO7BuYIxGBoUoyM9D4OEgIQpM/hXT9GauDsg3MoaRQT3o3E3D3fg70Kuni5CzipQeU9FOzZyQq2cgCgxiolNhZVUflvoFuBWZKHTHug7pWOHVH9l6WkTjnJo1gqmpEXoOf6KGPSUf7lHxQK0ArL7VAFj/qg+wxo8fjw0bNuDPP/8soX1lYWEhdLEeR5MBloa7Tl7MK67jRHohLTkDfj2bi8o2lglePqIgs7NcnGRkCw8XXA6IQQNbM7i7WyMjMg6hF8ORlZYtANmPISs1PPvDPfzXeX9g/cxNYpENm9ghMTJJaBMR+Lj7ueLaievoMfwJvP3VSFg1bKC8GP7yebv75zAyMUDIBQWHiRpCAf8owIVoQ2NVH8uPzRP8Gck2fbEDe34+BCNjfYSoACHykxi5IkhjPzs2jr58qqTQaHmebN3bB+d3nhPpOElxo5/yAAAgAElEQVQ7SbVVDedMWDEaAyf2K3cjKmpG23VIB3z6+wcabR5B2vi2HwqwKtmTQztj+ob3lJE8il6O8Zkk3ibYYETwxSn91ToP+WusYowOjoFrc5cSkTD6bXP8WhjWNyijtK7Wwe/DIIqyXldpQ1TVKTzbNUXoleKIHMe37OePwKBEGBvqwdvVAue2nxSaVdQX83umDW4V6CE2qrhoxcvGACYmBsi6p1PHdGFUfAYaudog43YabsfegZGpIeys6yMtMVmkWlnFWh6Yrmq98vuPlwdqA2B1flpzgHV8t/oAq6IfiuvWrcPrr6uvyVeX7gQZYGm4m7vX78e/PxxQcK96tkRBdi4C9l0SfCL+Gs7OzEVDN3sEHg2G/5AnEBqSiIy0bHi6W+Hq7rPw7uSB+ub1BbmYXI66Yke2nsL84UuVbUPKuy42Th4woR96Di8rEjrr1VU4vaeYXOzm3QjXDwXAysFStHRhMcDqc1+IwzJ9tv3r3fht8Q6R8mvWxk1EcySzcbISVX0kKHMu2+F4dvBC6KWSrUpKr3H07BdwatfZEuX6JKmzklBqh0JRyDUBXyqbEqse43/v/YDtK/8RPCiuUdLIIpeJnCZNjNpe49oU88uYaqTkw4Tlo5WH4TXHXI8HK1s92rrj2olgzPv7E/j3alHlqaY/M0+sj9prXYZ0xPR+85Rz+EW5IXo1bBwUrXseBju3JwD//rAfB387rtZyWnRvjsiQeFg7WApxz6L8AoRfCodr77YIuqaoUnVpZI6G9XVxIykHSXcUFYGGBvXgZG8Kw3pATiFgmJ+H2ynZQqoh7XaaSB/6tHdHckIK4iMVMiTuzRoi+Iji3v1k4yR0HyZHptTapMd4UK0ArD5zNOZgHd8zS+0U4WO8nRVeugywNLgrstKz8IrbBDh5O+JmxB1kZeaiUWNrWJgZQAdFgifD1BQBlaWdJbZ9d0BID7gwzZKTjbzUdAGsyM+qS6lBuvCzoV/hyJaTFXqTcgZzd3wIZy/HcsdcOh6Cj19YLngvNGNTQ9ia1ROSDpIRpJDvtu7T3wRnRjKmg0wtjGBpay5SjiRzXz0RIt6Wyu/5OlOWzTo1E+nLg6XW2uulzug7spvgNUmViATMDtTrCi0pG0F+0qwtH4hUlaoxncco1qL/ZgrNJIIWAiXapphvYe1QHLWr7LYjl2vlhO+x61uFDhT5UdtTf6xQm+rkX+fw2xfbRSSGqb3fYr+r9K6+FXMbnw9dIlKDK07MB3sUzhqoAK8jpg8GZRs2xa2BSX0TDT4d938oU8lsI/S/d38oczLy7ZhCZarTxccZqbdSRX8/3ndRwTHKPdU3NoBjjza4GZEE30YmCNwbIFpXWTdxED+WrtyTdCAvi2CK1rJPa1y9kgA7xwbITElHekqmAPW5GZmIvXkHfk94oNPTLYQG2h9Ld4qUMIG9bLIHKvKADLAej3tDBlga7DP5VlOe/BSjF74CSwcrxN5IFFVFVw9egpNHwxJpIKa9tn+zF+FXYxB09gZ8OzTFy9OeE2036qJ9M2U9/li2q8SlUTeIaRQCHnX4Qaf3BWLTvD9EpIA6QUkxyUpukKGJISasHIM///dfCSkE+rllFy9cORak5FiRh9PIw0GQlhUgywPXTioiXP59WmLgu89i9tBlyrV2GdhONA8uyM/HcOe3lQRwRj7S78kilN4zRiyp8l0ZCTzlViomdZkJkvG/2Psp/HpWHVnieeiv+S8vx+HfFYrmwz8ehNHzKta4og9Ge7+nbNGzOe47IfdRkTG6RnL8vl+OYNyy1wUwJvGdumyMgFFaw8y2PkxMHi6AxeuZ2nsOLqrIKEjXKElqsIUQI4iUtKAJknpsyf6WTdo2haGRPq4dLSksKh2L1b3kU5pbm8LJyxEpuUBirKLnobO7HXQKCpCbkoLoq9EwMDYQQJvp7cX7Zwupiz6vPSkirrLJHnioAFbvakSw9soRLG3uYhlgqek9PsQWvrpCRFgYSWFUQTIqZ9s6Wde5qJSarhHDgs+GIvh0GAKPXIWdsw06D2wPn06eosIvNixedL6vrJEte70tf3uNaAfTqKk9CvIU3C1WhjEN2PJJXwQeU0SlVK1FFy9cOlicWpTeY8Ne6mLRWFAgSRyQ+0Yu1xttPlI2Tx7x4fMY+ekLQnaBVZAkPNMautrCybMRzu25JKrWGKGk/haV9vuPewpDJlUtEvl+j1m4dOiqIOF/F7hELfFYAqC5Q5fg6FZF+6BVZxfBw79JhdtBQv67nabD0t4CFtZmGDCxL/q//bTa20eR0SVvfCP6JjZr7yHSm7XVl7CqRTMa9V7nT8QPG1Vr6ueK0AvF1aQSd45/E7AyusR0M7WxWJmp2oS89DlL8+4c3O1h69ZQDDMy0sfpv86KClXeH9QUk4wcuZzMHGWT7qquRX7/8fVAbUSwniDA0lO/Yj0/PxvHZICl1U0qAywN3Ediu/zLtHyHEYBkZ2eLB5hoXF1YCCMj9T/MPCpFQ5kWY6SQYIbtaFoN7ITAnafQpLUbgs+WbATc4kkfZGdkI+RkWZ0kVnxl3s0UYIjWrENT0ZiXKdqnXu+B15srSOee/m5Y9PdHQniT1aET2n2kvEA+QH++sUpIQVCTi0CGkavY0DgBqKlf1qZPq0rvIJL+Sf6nVRVZkg5EX87ovwCn/74gXvo24Eu4VVLNR4A/zn+aiNZIauy/xX1Xoi9jZYvcunyXiPKMmveSAJLcu6qUmjX42NT40J2rd2PFhLXK4xIAxakAHekNcv4o8cGIFEGuOkatNKaIszPKb6MkSTW4t3YVPx4oAGthYy6KDArzC3HleDAmrhyDARP6qnM6ecxj6oFaAVi9ZmsOsPbNljlYWtyjMsDSwnny1LIe4AOaAIvd1CUjyNFRyIRVWpXGlNqnAxYp03ntBnXEmYRs+NoZIzfmFm4nZ6Cenh4MTAxh62ApyuxpXi0dcfV4WZBFgUlyoMi/YruTp0f1hH1jG9Gr8AWn8SKy8d7Xo/DMqB7iOEybkYMlGaNus/+YCgp+Hth4DGxto2rPvdUH760u2wJHdYyqlMKvEavUVkf/cswq7F53QERKtib9UG4vQ9XzLB/3reCdUUn+jUWvYOjUAWrfnvQDz8OolYFBcZWm2gd4wAMJKJmKI3AytzHD0je+KaOxJi1p2IcDsH/DUWVVaFVLLa8nYek57fr64cy/CvBLY8TLwMQIRbq6SMjVxYeLX4KPX+3LW1R1rfL7teeB2gBYXXpqDrCO7pcBljZ3iQywtPGePFcjD5C8XVmacEr3T5UVfF7t3KHjaI+gxEywH66NjTkS7jVStrY2haO1Ca5sOS4iLp7NGwmeE9M+LKUnsZ2ppJyMHDw1sjv6je2Fs7sDMGyaAnSc23cZ059XkLp/j1oFcytT8W8Kpc4fvgxBpxW6R9M3TEKPlxQVYT98sgEbF2wrc72NfZzw0c/vgmCuItu0cJsAaSSUM8Knjs18fqFIYTKatOTQHNHEuTKTKhgp6jronWcweJJmCuH0Y25u7kMduaro+gliKTvB/VcVSx307jMYt/R17P3lML4Y+bU6bod7azeQCJ+blQNT2wZIiUnCzasKsVcJTAWfCRVip5L5PNkcQSmKSCmtYzcvzFleMWdOrYXIg+q0B2oFYPWoBsA6IAMsbW5EGWBp4z15rkYe4AO8vAgJqzPXfvQr/v5ur1IOoe0z/sg0MEBmoQ4ib2cJsVJVa+lug8gjV+DY2AZXDwWC5GZGYRjVkPhWHE8C8oabq4Vyt2Szhi5F14HtYdrABB37+ZU4bnxEIl5tMkG8NmfbNNF3kDZ7yGLRToXk59L25NBOmLFpSoW+SIq5jeXjvsPcHcXpx8oct+aDn7BlyU4xxLOtO2ZvnSpSkhVZ5LVojPWdLN6m7ELbp1srxUgrOw9TupIR+OrrVw7iNNrsWhicEHkLjPyxuIHVhD+FfS32nSCVrx/beloIq9Iot8HxqkbOYGZ6NhLTCpGrAqDcXcwQcjoU5HmVp8Xl2b8zQm8WdwjQ16+HH/+aBGu74ga5teAO+ZQPsQdqA2B17T5L4xThkYNz5BShFveRDLC0cJ48VX0PVASupCPMG7EMBzcdE332fLs0E/wWVhKyqKDlc+1wKTmvxMkoodDa0w4hW4+JlkU0pmru3k7DzWvF4px8nbyrkXOGKeczxcQegsamZTliTJe96j5BpJTaP+OHeX9NFw9otq2Z9/d0LH79a1w8ULLXHUEd+VWVSW989+EvInWnjknRKI4ll+z3+LUizVmR7d9wBAteWSHG+PduIUj5BHOUAyltOTk5yhTuw1glqI5/qhrDSCl10AiiVI3Nmneu2i300V58vz++m/ZzicrXVj18EXjoKry6t0TI1XjlfrINlo1hERIiivXQVI/r+FQHxCWUbPL80piuGDWxd1VLld9/TD1QKwCrWzUA1mEZYGlzi8oASxvvyXPV9gAf7OURp5ma2vXDAfy+ZBfMzQ2EjpgqQGJUyrBra2TlKlIwDRuaw1YfiDsbgqSwkvpUFHGlWnxpo3r89F8Viufq2Irx32HnN/8pARbV+7d8tVPIJbD5MknWpa2qPoASN02d8zN6xSgWbcz8EXjpo0GVTmMFIFOiz731FNjwemrP2UL/aeHuGSUidzwIo1aaFh+os+ZHcQyB2HfTfsEfS/8Sy2/fvy0ysvIRduIamvg1ga6RIXRRBEMDPZz5+1y5l+jTvTmCU4uUOlvSoHc/eQ7PvqCIfsome6C0B2SA9XjcEzUCsNg1e/HixTh37hzi4uJEs8eBAwdW6EGOef/998X469ev491338WyZcW6RNLEP/74AzNnzkRYWBjc3d0xb948DBpU+cNG9aQP8iZ+PG6X6l8lSe96emW1gTYt2o4fPtsqogVte3jj9K6SDzIzazNkerujmbstsiPjUZSShvpmJkKzShITlVbFCAQjX6wcUzVW/v1wtez9VdHVMKW3esqPeGJg+xKq8wRJU3vNKdFWRjpG1xc64o2Fr2jdJiUvNw8LX10pSPtsWTN8+mDRf7AykxofSxE0KcW4Lmi5kJmQ7FHmWVX/zqt8Jn1yatd5bFm6EwEHroi2QeZ2ligqLER8WDxuRSUJoH3mn4vKBtM8IiUxnNs1w/X4DOTmFfOv+J6nryOWrhsj9k822QPleeBBPpukc3Xr+qnGKcLDRz6TU4Ra3MI1ArD++ecfHDt2DP7+/hgyZEiVACsiIgJLly5FmzZtxN9PPvlkGYB14sQJdO3aFXPnzhWgiqDt008/xdGjR9GhQwe1LvlB3sRqLegxHlQewZ399iZ2mYXc7DwYG9UTLU0uHSqZfvPs5IUMx4aI2XJIeI8pRBLZya2ya2wjOFvUy0IRhDYS1dwp81DaWPHXZ2R3+HT01GoXKhK6JLiZsnYc+t6rSKzuSX6as1molVP/i6TtLYnfCxkATWzdjI2i4fVzbz+Ntk8Vy0hkZmaKpqt1rYuAJr6paKxqH01HTwdYO9riyvlImFoYw6OlE1LjknH9nKKfJUntwXfLRq2kY3fv2wIfL3ihJpYlH6OOeuBBPpuUAKtLNQDWURlgaXML1gjAUl0Av7yrimCpju/evTtat25dBmANGzYMvDEI3iTr27cvGjRogI0bN6p1zQ/yJlZrQY/pIEYJCLBUI1h8bevXu/Htxxvh1MQWCeEJ8GzTBOGXIpVCn5K7qJbN1iVSA2YqxCfeLG6Vo+rWZu3dEXRaoeJd2rq/9AQ+2aB+qrC8Y/y1Zg8oiUBzbe4sgB5b1BD4/Xn35xICtNXZbsosvO03VRkt+fLAbLR60lejQx3YdExogD37Zp8S8zIyMlC/fsn2PhoduA4P3jB/KwhMJeP3WJvn2iMyJA4uHvaIOB8q7suczFzYPemPpJTiAgHu/aCXO2Hg8A4oLCpCw0bqtUSqw+6UL60KDzzIZ5MSYD0xU/MI1rG5cgRLi7v5oQVYLi4umDx5svgjGaNdTCVGRhb3p6vs2h/kTazFHtT5qaoEdxLGCa5O7rqAdbO3iGuPuhypBBROng0RdY+kTrV8Rrlokj6Ri7eTGMtKMRLA2fMtOkTREofv3bwWXaE/2TJnxfH5Wvn7VvRtjHB5G/qG+lh+7HMhz3Bi51ksGLFctPLRNoLFxUnq7/oGemCj6HdXvaHRmu8mpwkZgdK9D6lz9ahXCmrkCDUG8/4icJrQ9kPRMUDVWnZvjttJGbCxNUXAgUCw4TbvtVw3V+QXKMpaW7Z1xbip/dDEU6H0LpvsAXU88CCfTdK5nuysOcA6dFwGWOrsZ0VjHlqAxXL+9evXY8SIYj2ZDRs2YNSoUSBhujzj66rv8cZydnaWEbg2d0gNzJXSgwRa/GNqaorIazH46fOtuLA3AOnJ6cqz+PdqLvo15mTlYORnL+E3akhtPy3Sgs5ejYROFqULCLKklA3Vt1kxZuNkjbP/XqxwxYbGBvj5xv8q7dNX2eUGHLoiyOc8b6vuvqK/omRsmEytpV/CV2ntsRnPL8Cpv86LdOfvCd9rfTzpAPQZuXAyyCp2KfeNhQsRl2+W8bNf75bQNzZC8IVwNPVphIv7A9FmcGecDU5WjpXJ7DV2ez5WB6oVgNVphsYRrEMnPpefn1rcmQ81wPrxxx8xfPhw5eX9+uuvGDNmjKiEKs9mz56NOXPmlHkrNTUV5uaa8Vi08Kk8tZQH2GKooLBAPNhVhTYLCgoxtNGbJfrC+Xb2wtJDxXs4qcsM3IpJRl52LgoLCpGaVLIcXvVUrDiksndKQlmtKmkc5Roo21AdO/jbMSGHwHV0fK5NGV0rTSoFKzo/NcGGOrwhImOdnm+LoR+or8he1TVxffwBIlcRFnvquw9/xubFO+Dq60waHyKvRImWQ64dm6FIpx6yMnJRmJYO5OYgKz0H+nZWCE9RiIxa2Zhiw38fyJy2qm48+f0yHqgNgNW9g+YA6+ApGWBpc/s+tACrOilCOYKlza1QO3PXzdyEjQu3K0/OnoDrri1VRpnO7b0kolPkOa37ZEOZNE7pVXv4u5URg2S0iW1wyOOiOvozY3sJra0+rz6p0UWzGfQrbuOFlETXIR3w6e+KfoY1afNfXiba8tD+SPpB7X6CVa2B4OpRaYVT1bXU1Pts3P3JswtQT09XVKR6d/JEp/5tBRfLvY07DJs44+bFSJgWZsPG0RrRNxLRsH0zBF9XCJSamhtj9aa3YedgWVNLko/zmHigVgBW+080jmAdPD1PjmBpcU8+tACLJPe0tDT8/fffysvr168fLC0tZZK7Fhv+sE2lsvaaqT9BR0dXVLzt23BEVAbO3T5NuVSKf1KriA8+pgorasQrTTAxNxYgiEKio+eNwICJfZEUkwyj+obiOMlxKSBY8vBvghHTB6vtEvJv3mr9gah6fGFKf7z15Wtqz1VnIFOQU3vOUfLR/ndmITzbuKsztcoxBFdUa1e3VU+VB6wDA8gH/HnOZmxZ8hfcmruA1YPvrx2HARavwcLWAin29vDysIde8h3k3M1AZL4RsnOLW+TQBc5uNvjfhrdhyEpW2WQPqOkBGWCp6ahHfFiNAKz09HSEhir6t/n5+WHJkiXo0aMHrKyswEjUxx9/jJiYGPz0k0I8kXbxooIrM3bsWHh5eWHq1KmijYqPj494/fjx4+jWrZvQvhowYAD+/PNPzJgxQ5ZpeMRvuPKWT44WuUEUIiWJ/ORf50SUSVIvDzkXJlTem/o3Eb0BP3vxKxzdekp5KI7z6eyJwvxC3E1Oh249HcRejxfK6349W5TrMUZ0CLYI2AZO7FelV3+avRlndl9EyJlQoS5PEc82fYolEKo8QBUDLh8LwuSuM0uMYh+9we9p1lOwotNU1QdS2/U/SvOT4++ItF4De0sc2nJCqLtfOxmCni93xcD3B2D52NUwcXVAzJ1s2NiZI+lmEhrkZyH4bvlXueb38XBtav8ouUBeay17oFYAVrtqRLDOyBEsbW6VGgFYBw8eFICqtI0cOVIQ1V9//XVQ+4rjJCtPi6dx48ZinGRbtmwRoOrGjRtKodHBg9WPODzIm1ibTZDnQpDfy+tTWNo3p/+5ADZCJg+KRgkHO2drRIfEKYc2adkYnm2b4P2146t07dfvfI/WPZujy6CKtdUIxv79YT98n2gmBChnD16MdUErqjx2ZQNI4g8LiERedp5oxcNehWxYrWqsWpv318eiUlIbY/SK5yhPSV+b4z6qc1e+8z0uHrgsigh4H1Gclm2W2ELJpKkzQqPvwt2uPswtTZCUnov6edkITylAZlbJdk3S9c9eOhydujd7VN0hr7sWPPAgn03SuXq0na5xivDA2flyilCL+6NGAJYW57+vUx/kTXxfL+QxOLgUxaJWFlNZFRmbMX81djUu7r8shrTo6l2usChbxqy58GWVnrsZFIPIq9HoOlg98VoekJVnPG91BTvvJKTgtaYTq0x1dnjWH5O+eVPwf7SxrKwsITAqm8IDIz3fQU5mDhybOkCnng4ir0SjsY8TooJiYGJhgvqW9REafAse/q7Q16sHI8N6SC3ShSEKcSe7CLG3SnYKmDJrAJ4e6C+7V/aA2h54kM8mJcBq87HmAOvcAhlgqb2rZQfKAEsL58lTa9YDqqnCyo4sNYbmGK92TRF8RpGeVjU2PV64e2a1QVDNXlnZoxHY7V53QCjXU4fJwMgAFBmVjJIUawK+hL5B1dye3Nw8cZ2FhQUCnDJaJRl9yqrB6oLB++2HB318VrRe2H9Z8POunbwOtkXaufo/tO7pi7P/BqB512YwMTdBXl4R4m7eFjpstq2awCAzA/FB0XBu64ErUWnIz1foYFGxvWsfX9Srp/ugL0U+3yPsgVoBWP4fQ69e2Qb3FbkxvyAbB87LAEub20wGWNp4T557XzxQUUPiD5+eK1Jqt+PuIDZU0ejZp5NnmZ6EfJ3tc36NXA1LW4v7ssbSB5UkGsglI5ipLApXei4BEcnnVBMn6frJoZ0xdf0EtY5BAJWTlQsTUzlCVd2NZrpwWu85InLFSBaLKvSMDHHtXCSonabv4YK0jFw0tDGBXnwirF1skW9thbc+fBZevo7VPa087zH2QG0ArJ5+H2kMsPZfWChHsLS4T2WApYXz5Kn3xwPkDDFVWDrqEnktWgCQQ5tPKE8sKbyXtxJqVY1d9Aoaezvdn4WqHFVVJb0yPayKml4rI075BYAO1AZXuTl5MDZR/1fpfXfEI3qCf9ftx+HfT+DSoasCsHo94YvQgEg4eTrA1NMFBWnpiD8ThJTEVAHqmz3hjbcXvSxHBh/R/a7tZdcKwGpNgGWo9qXnF+Rg/0UZYKntsHIGygBLG+/Jc2vcAwQqBFaqfQtVT7L3l8NY9NpK5Uvt+vmh+9DO+N97PwhpBn0jfXh3aIqstGxEBcdi0Z5PtW7wrM5FqpL0GVViVEoHOsgvUCinS/0YeSxGtyq6PnXOJY3Jyc6FoZGBJlPksZV44Py+S/j0+UUCYLUZ3h3Zt9NQaFoft1Kz4VAvD7l37oLti/Jy8xF8JkyIk45bNgr+vcqvVJWdLXugIg/UCsBq9aHmACtgkRzB0uI2lgGWFs6Tp9a8B6oSxJzY4SPxcKN1H9YZr80ZCmdPR5HWObv7IjYu3Cb+HXQqFBNXjBEaWPfDpLSe9DdFbtWt0iMAk4CWNmvLyc6BoZH6v0i1OdfjMjcpNhnJcXewY8cl7PnzAqCjI8Cxq242cjOyRaUn04gsjKBRTmTyt28/Lu6Rr7OGPCADrBpy5EN+GBlgPeQb9DguT+qZV14ka3K3mULVnRyrVee+KJH+CzoTinc6fMxnIoqKgNfnvoSXPxlSoy7k2lRJ5IJcTskIHWgUlSI44iTONa6veYpPtL3JzoWRsQywanSD7x1s98+H8d/mkwhJyEJj+/oI+fs0WnX3ER0BWvVsjoyUTOgb6gkttNdmDb0fS5CPWYc9UCsAq0U1IliB6kewDh8+jMWLF+PcuXOIi4vDtm3bMHDgwDq8i1VfmgywqvaRPKKWPFBaXoCgYpDV68hIzcSwaQMwduErJVbGirAPes4RUQYCsL8yfq1xjoy6el3quiwtJR1mlqbqDleOI5eLqUa5OlBj16k14dOBi3Bix1k09XcT95u1QwMYm5sg4UYCLOzMRdNxmp5+Pay9slRIPsgme0BdD9QGwOrVfJrGKcJ9l79QO0X4zz//4NixY/D398eQIUNkgMWf0EV8atVRe5A3cR11Ya1elqr6OKNGJCHPG75MPNS+u7wUTh5lH2pbl+3C6inr4dDEHj+Ffl3j66ckgoEa0gnqnlhKMXI8U5tFKFIS3CsDTxVVWqp7Xnlc5R6Y/ux8IaFh5dAAjk0b4uzuALj7uQt5h9Rbd4T4K9OENo5W6PVyN7AHpkebJjXWO1Len7rtgQf5bJLO1ct3quYA68pitQGW6o7xu0uOYMkAq25/ih/xq1ONFlGPiAruFBgtL3olXSr1pUiC/3znR8qG0dq6gSBIIqmTnF6T/fwYieLx+EeVtJ6Xlw89vYojVPQNyfNyBEvb3S1/PqVAPugxS7RSig6OFf0xm3f1wZUT19HYuxEiAhWaZe0Hd0TEuVAkRibBu6MHXp01FO2ebn1/FiUftc54oFYAls8HmgOsq18iKioK5ubmSt+Ta1oV31QGWAp3yRGsOvORrXsXUlqugQrubFmz9PBnaN7Fu1oXTLDEyBjBibpW02nBis5bWt6Bopg6uhQQpXCoDoAiwfMS15BfAANDuYJQ3T2szjhKYMzovxAxN5Ng18YDWddjceNiBNr0b4O48ERYuNkD2TkIPRAoGoDT2FC835heYB9JGfxWx+uPx5xaAVje72sOsK59VWZDZs2ahdmzZ1e6UTLAkgHW4/FJfsSvktV5kqzBwd+OYcErK/Dk0E6Y/uukal0ZeV3seSil5hQZcgqD6pb7QKztVFx5TZq5Zv6pyUhatZz5GEyKCG1fAgsAABSGSURBVE/E2NfXiiv1tquP4D9Pofnz7XHpVqZ4zd/ZAkE7TwpZEMmMTAyx/Pg8uLVwkUHWY3CPVOcSawVgeVUDYAV/JUewqrPB9+bIESwtnCdPfTAeUAU5TN3cvZ0Gt+YuGp+c6TgCEyl6RfDCX1oEKoxSEchJrWYkYCODGI3dXKcmxMbewWvDV4tr0tUBGoRFwbJDM4Td60fYwtEcOjGJ4L11IyASOZm5CuDVpyUW/jtDBlh16m6ouYupDYDV23OKxhGsvSFLZA6WFtsuAywtnCdPfTAeINghMNJGnFOdPod8SDKyJXObHsy+PgpnKcgvxML5O3Bg31Wx3JaWBkgo0kVCqiJi1dzWGFe2Hodn2yYIOXtDeUnrQ1bIlYWPwgbX0hplgFVLjn/Ap5UB1gN2uHy66nlAtRWNOkcgoJKAmRS10qQ/oDrnkMc8Hh44eSIUMz7aXO7FuhVmI/L4NTh5OSIqKEZErEbPG46XPhr0eDhHvspqeaBWAJbHZM0jWNeXqh3BSk9PR2hoqPCHn58flixZgh49esDKygouLppnHKrl2IdskgywHrINkZdTvgcqI6eX5inx/0ztySRj+W6qCQ9ERtzC22N/QF6eQoGfRs6er5MFAn/ZD/fWrgi7GCFeX33uCzT1c6uJ08rHqMMeqBWA5T5Jc4AVtkxtgHXw4EEBqErbyJEjsX79+jq8mxVfmgywHsttfzQvunSfQvKmmDaUGigTVKnKKTyaVymv+mHzQHZmLn5ddxgbN59WLq25nQmu/HFM/J9k9vDAm6I34XeBSx625cvreQg9UCsAq8l7mgOsG8vVBlgPoZtrfUkywKr1LZAXoIkHpJ5//JuASmqkLGlVMWqlLV9Lk/XIY+u+B5bN3Io9287Bo0MTZKRnIvNiKAqyckRPwoK8AsWf/AJY2lngs+3T6r5D5CvU2gO1A7DehZ6u+q218gtzsPfGChlgabHbMsDSwnny1AfvAQIrgiip4k91BYxwSXwrOT344PemLp7x9KFgzBr3I+rp6cLNvzEKY28jOzUTDWzqI8/EGIX5+Qj77zwcXG0wceUY+PVsURfdIF9TDXugVgCW2zuaA6zwlTLA0mLvZYClhfPkqbIHZA/UbQ9MGLQSiXEpGDutH5r4NMKi0WuQFHsHdk7WyM8vQAzqoU0jU9g1ssSkr8fUbWfIV1djHqgVgNV4ouYAK/JrGWBpsesywNLCefJU2QOyB+q2B/78+Th82zRGUx9HcaG3Yu8gPSUTzh4N8fmYNUiIvoPIqzF4blQ3jF/wUt12hnx1NeaBWgFYLuM1B1g3V8kAS4tdlwGWFs6Tp8oekD3w+Hrg6w83Yv+W03DzccQL4/ugU79Wj68z5CvXyAO1ArCcx2kOsKJWywBLo50tOVgGWFo4T54qe0D2wOPtATaBFrw/A73H2xHy1WvkARlgaeSuR3awDLAe2a2TFy57QPaA7AHZA4+iB2oFYDm+rXkEK+YbOYKlxQ0mAywtnCdPlT0ge0D2gOwB2QOaeqBWAFajtzQHWLFrZICl6eaqjJcBlhbOk6fKHpA9IHtA9oDsAU09UCsAy4EAy0DtpeYX5mJvnAyw1HZYOQNlgKWN9+S5sgdkD8gekD0ge0BDD9QKwGr4puYAK/5bOYKl4d6qDpcBlhbOk6fKHpA9IHtA9oDsAU09UCsAy26s5gArca0MsDTdXDlFqIXH5KmyB2QPyB6QPSB7QAsP1ArAsh2jOcC69b0MsLTYZzmCpYXz5KmyB2QPyB6QPSB7QFMP1ArAshmtOcBK+kEGWJpurhzB0sJj8lTZA7IHZA/IHpA9oIUHZIClhfMeoalyBOsR2ix5qbIHZA/IHpA98Oh7oFYAltUozSNYyevkCJYWt5sMsLRwnjxV9oDsAdkDsgdkD2jqgdoAWL0ajNQYYO2786MMsDTd3MclRZiamgpLS0tERUXB3NxcCzfJU2UPyB6QPSB7QPZAzXiAAMvZ2RkpKSmwsLComYNWcBQJzPWyfA16OhroYBXlYl/KTzLA0mJ36nQEKzo6WtzEsskekD0ge0D2gOyBh80D/PHv5OR0X5elBFgWr2oOsFJ/lgGWFrtTpwFWYWEhYmNjYWZmBh0dHS3cpP1U6RdLXYym1eVr487X5euTr037z3ZtHKEu79vj8pm7evUqvLy8oKure19vISXAMntZc4CV9qsMsLTYnToNsLTwS41PfZA59xpffBUHrMvXJn3ZM4zPlHNdSzXX5b2Tr+1BfxPU3Pnkvat5X/YyHaE5wErfUCe/92rOu5UfSQZYD8jT8hfGA3L0fTiNvHf3wakP4JDyvj0AJ9+nU8h7V3OOlXzZ0+QljQHW/sxNMsDSYitkgKWF8zSZKn9haOKth2usvHcP136ouxp539T11MM3Tt67mtsTGWDVnC81PZIMsDT1WDXH5+TkYMGCBfj4449haGhYzaM8nNPq8rXR43X5+uRrezg/U1Wtqi7vm/yZq2r3NXtfCbCMh2kewcr6TY5gaebuEqNlgKWF8+SpsgdkD8gekD0ge+Bh9oASYBkO1Rxg5WyWAZYWmysDLC2cJ0+VPSB7QPaA7AHZAw+zB5QAy+BF6Onoq73U/KI87M/9XQZYanus7EAZYGnhPHmq7AHZA7IHZA/IHniYPSABrB56L2gMsA7kb9EYYK1atQqLFy9GXFwcfH19sWzZMnTt2vVhdtF9W5sMsO6ba+UDyx6QPSB7QPaA7IHa9YASYNUbrDnAKtiqEcD67bff8Oqrr4Ig64knnsCaNWuwdu1aUPPLxcWldh1RC2eXAVYtOF0+pewB2QOyB2QPyB54EB6QAFZ3nUEaA6yDRds0AlgdOnSAv78/Vq9erbw0b29vDBw4UBR5PW4mA6xq7DhvlK1btyIoKAjGxsbo3LkzFi1aJFR5K7KDBw+iR48eZd6+du0amjVrpnz9jz/+wMyZMxEWFgZ3d3fMmzcPgwYNqsYqqzflfl3b+vXrMWrUqDKLysrKgpGRUfUWq+Gs6lwbT8GKrc8++wy//PIL4uPjRWuLTz75BKNHj36k902da3sY9o3rrM7evf766/jxxx/L3CU+Pj64cuXKI7136lzbw7B31dk3bsyvv/6KL774AtevXxe9+vr27Ysvv/wS1tbWj/S+/b+9Mwup6vvi+Cr79aASaSRmNFH5ZKWZkvBvxBKlCQsbwYcGLLHhoYciMklEiOYeIrHCqAiDBijDB2keHorEohQbBA0aqCCjUfvzXX+OXG9a55z/9f72uX4XRNQ959y9Pt9z9l1n7bX3tuNboHWzAqz/SJb0Ewc1WPJDbsrl3/byxSz4rmbCf//+XcLDw6WysrLTb9aGDRvk4cOHcu3aNYc9tvcPZ4DlQkM87EuWLJGUlBT5+fOn/tjW1dVpGjQiIqLLK1oBVn19fafVwAcPHixhYWF6zp07d3SseufOnXqDnjt3TrZv3y43b94UvBkEw3rKN3QaeNDgv6/FxsYGwy39Dje+4bz58+fL69evpbi4WMaMGSNv3rxR3RFYe1k3O76ZoJtb7bDyPgJ4y6DZhAkTpKCgQHbs2OFp7ez4ZoJ2bp459HfTpk2TvXv3yty5c6WlpUXy8vJk7Nix2id6+Zmz41ugdfv69auMGjVKXw6dWmRkpLS2tnY6rbCwsOP58f0A29INHTpUbt261dE34vOSkhJ90fHv+522xYvHM8AKgGpv376VmJgYjdCnTp36xwDrw4cPMnDgwC6PWbx4se57V1VV1fE5OqioqCg5ffp0AFrq/BKB8g2dxsaNG3X3eFPMjm9XrlzRYPr58+cSHR0dUrrZ8c1E3SCCHe38xTp//rxkZ2fLixcvZMSIEfqxV585O76ZqJ0d3ZCpwhATsviWHTx4UDNa2MvVy7rZ8a0ndEOQhQyTU/v169dv+/h2l8GyAqzbt29LWlpax1dhFObEiRM64tPbjAFWABRvbGzUtytksRISEv4YYI0cOVJws2OYYtu2bZ2GDVEEuGnTJv1jGd7iMAujqakpAC11folA+YZOY9WqVfqG09bWJomJiZqpS0pKct6oAJ1hx7d169ZJQ0ODTJo0STsJZCjnzZunbcfwMMyrutnxzUTdwNyOdv63CbIhGO6trq7u+Mir2tnxzUTt7OiGH2iUUyBblZmZqRnjnJwcQS3P4cOHPf3M2fHNRN3sdLkcIvydEgMsO3fOH45BhI8hJGSmbty40e2RSI9ev35dkpOTtZPHjzU6CwwdWlmv/v37Cx6uZcuWdVzn1KlTWruEc4JtgfTt7t27+qM4btw4zdLt379fLl++LLW1tRqcBtvs+oYMIjRKT0/X4dp3794JApOZM2fK0aNHtdle1c2Ob6bpBt52tfO9pzBlfNiwYYLnCT/WlnlVOzu+maadE93Onj2r/R5eRjG0i5ca/N8///yvhsjLuv3NN9N0c9I3o5QFv3GYRWgZkgn4jWSRuxOSPFYJ5Ofny6VLl7ROCsXPTgxv1H369JGLFy92dBoYq166dGnHZVDsuXLlSu1ogm2B9M2/7e3t7TrbBMHlgQMHgu2abd1mz56tgTPqF1BsC8MEh0WLFsnnz581i4XO3ou62fHNNN3cPnPo3Hfv3i0YxoBevgGWF7Xz1aU730zTzm5/glpWvNAgk5+RkaHrKW3evFlrXsvLyz3dV9rxzTTdnHTO1jINSB5gmPDIkSNSVlamk0qsYXkn1/P6scxg/R8KolgWdR3ITKGI0KlhbBoz0zCTEGbScEWgfeuKzerVq6W5ublTzZlThm6Od+Jbbm6uFm0i+2YZ9MJbGYYOkX3zqm52fDNJN7TFiXZW25E5iY+Plzlz5mjhtK95VTs7vpmknRPdsI4SXigxG80yvMBiAhAC5CFDhnj2mbPjm0m6uelfkb1CvRwCY5TM4JnrrjbZzfW9dA4DLBdqocNGh4EaAQwfuR3iQhbk/fv3UlNTo61Awe2nT5906Mwy1CCgKD5YRe495Zs/ZnxPamqqDhlaQ20upHB0ihvf8AaG4nzUgWBGDezChQtaLI3ZNchgeVU3O76ZoBva4EY7q+3WDN6uaiS9qp0d30zQzo1uCxculH79+gmyIZZhhjVm7WJGYVxcnGefOTu+maCbo46VB3dLgAGWi5sDNTio5cAPre/aVxhCsgqft2zZop1BRUWFfgMK1VHgjq0DUAyIzFVpaalg3Sv8WMNQAIlIH5ktjFnj+iiED+YyDT3lW1FRkUyePFmDUdRgYVgQdWjIDiHQCoa58Q1BFIpr0Xb4gBosFOtjGjlS317WzY5vJugGxm60s+4pZA2wnhJqW/zNq8+cHd9M0M6NbqhDRXYbfYQ1RIiXnL59+8q9e/c8/czZ8c0E3YLRH/eG72CA5UJl1E11ZceOHRMsAAjD3y9fvtQMFwwpU2QMEHQhCEOghSAsKyur06VQAImgCssCWAuNWgGYi6Y6PqWnfEM9BWqXrFomzB7EWkS+03kdN9bhCW58w1dgejEylggGsdAhiqSxJpYVTOMYL+pmxzcTdEM73WqH9aIwpIRJFfjR7sq8qt3ffDNBO7e6YVkG1PFgSQ1k8DGpBIs5YxayZV7V7W++maCbw66Vh3dDgAEWbw0SIAESIAESIAESCDABBlgBBsrLkQAJkAAJkAAJkAADLN4DJEACJEACJEACJBBgAgywAgyUlyMBEiABEiABEiABBli8B0iABEiABEiABEggwAQYYAUYKC9HAiRAAiRAAiRAAgyweA+QAAmQAAmQAAmQQIAJMMAKMFBejgRIgARIgARIgAQYYPEeIAESIAESIAEfAthfdteuXXL//n3dUw/boi1YsMARI2wThA3GscB0U1OTxMTEyNq1a2Xr1q2OrsODvUuAAZZ3tWPLSYAESIAEeoBAVVWV7twwceJEwf6BbgKs9evXS3V1te7igT1XsfI+ttpKT0/vgRbzkiYSYIBloipsEwmQAAmQgBEEsN2Pf4CF/WSxpdnJkyfl48ePkpCQoFv5TJ8+Xdv85MkTGT9+vDx69KjTfrVGOMRGBI0AA6ygoeYXkQAJkAAJeI1AVwHW8uXLda/Z0tJSiYuL0wAMAVddXZ1uaI+sVXl5uaxZs0YOHTokGC5E5gr/Hx0d7TUEbK9LAgywXILjaSRAAiRAAqFPwD/AevbsmQZRzc3NGlxZhgAqNTVVSkpKJC8vT44fPy6JiYlay9XW1ibYxDkqKkpqampCHxo9VAIMsHgjkAAJkAAJkEA3BPwDrMrKSsnJyZGIiIhOZ3z79k2ys7PlzJkzmrkqKyuT+vp6iY+P1+MePHggycnJ8vTpUw4b9pK7jQFWLxGabpIACZAACTgn4B9gIYDCEOHjx48lLCys0wUjIyMlNjZWCgsLNZP148ePjs+/fPki4eHhWvg+a9Ys5w3hGZ4jwADLc5KxwSRAAiRAAsEi4B9gNTQ0aAYKSzlMmTKly2YgiMrIyJDGxkYZPXq0HlNbW6tDhr5ZrWD5wO/5dwgwwPp3uPNbSYAESIAEDCXQ2tqqwREsKSlJ9uzZIzNmzNAC9eHDh8uKFSt0GQesc4XPsfwCaquwHENWVpa0t7dLSkqKIKO1b98+/Xd+fr4MGDBAM1i03kGAAVbv0JlekgAJkAAJ2CRw9epVDaj8LTc3V4vXMfRXXFwsFRUV0tLSIoMGDZK0tDQpKirSIAv26tUrKSgo0IAK9VqZmZkakHEWoU0RQuAwBlghICJdIAESIAESIAESMIsAAyyz9GBrSIAESIAESIAEQoAAA6wQEJEukAAJkAAJkAAJmEWAAZZZerA1JEACJEACJEACIUCAAVYIiEgXSIAESIAESIAEzCLAAMssPdgaEiABEiABEiCBECDAACsERKQLJEACJEACJEACZhFggGWWHmwNCZAACZAACZBACBBggBUCItIFEiABEiABEiABswgwwDJLD7aGBEiABEiABEggBAgwwAoBEekCCZAACZAACZCAWQQYYJmlB1tDAiRAAiRAAiQQAgQYYIWAiHSBBEiABEiABEjALAL/BYMsTZwLkfTrAAAAAElFTkSuQmCC\" width=\"600\">"
			],
			"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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
			" }\n",
			" fig.send_message('refresh', {});\n",
			" };\n",
			"\n",
			" this.imageObj.onload = function () {\n",
			" if (fig.image_mode === 'full') {\n",
			" // Full images could contain transparency (where diff images\n",
			" // almost always do), so we need to clear the canvas so that\n",
			" // there is no ghosting.\n",
			" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
			" }\n",
			" fig.context.drawImage(fig.imageObj, 0, 0);\n",
			" };\n",
			"\n",
			" this.imageObj.onunload = function () {\n",
			" fig.ws.close();\n",
			" };\n",
			"\n",
			" this.ws.onmessage = this._make_on_message_function(this);\n",
			"\n",
			" this.ondownload = ondownload;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_header = function () {\n",
			" var titlebar = document.createElement('div');\n",
			" titlebar.classList =\n",
			" 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
			" var titletext = document.createElement('div');\n",
			" titletext.classList = 'ui-dialog-title';\n",
			" titletext.setAttribute(\n",
			" 'style',\n",
			" 'width: 100%; text-align: center; padding: 3px;'\n",
			" );\n",
			" titlebar.appendChild(titletext);\n",
			" this.root.appendChild(titlebar);\n",
			" this.header = titletext;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._init_canvas = function () {\n",
			" var fig = this;\n",
			"\n",
			" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
			" canvas_div.setAttribute(\n",
			" 'style',\n",
			" 'border: 1px solid #ddd;' +\n",
			" 'box-sizing: content-box;' +\n",
			" 'clear: both;' +\n",
			" 'min-height: 1px;' +\n",
			" 'min-width: 1px;' +\n",
			" 'outline: 0;' +\n",
			" 'overflow: hidden;' +\n",
			" 'position: relative;' +\n",
			" 'resize: both;'\n",
			" );\n",
			"\n",
			" function on_keyboard_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.key_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" canvas_div.addEventListener(\n",
			" 'keydown',\n",
			" on_keyboard_event_closure('key_press')\n",
			" );\n",
			" canvas_div.addEventListener(\n",
			" 'keyup',\n",
			" on_keyboard_event_closure('key_release')\n",
			" );\n",
			"\n",
			" this._canvas_extra_style(canvas_div);\n",
			" this.root.appendChild(canvas_div);\n",
			"\n",
			" var canvas = (this.canvas = document.createElement('canvas'));\n",
			" canvas.classList.add('mpl-canvas');\n",
			" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
			"\n",
			" this.context = canvas.getContext('2d');\n",
			"\n",
			" var backingStore =\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" this.context.webkitBackingStorePixelRatio \|\|\n",
			" this.context.mozBackingStorePixelRatio \|\|\n",
			" this.context.msBackingStorePixelRatio \|\|\n",
			" this.context.oBackingStorePixelRatio \|\|\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" 1;\n",
			"\n",
			" this.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
			"\n",
			" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
			" 'canvas'\n",
			" ));\n",
			" rubberband_canvas.setAttribute(\n",
			" 'style',\n",
			" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
			" );\n",
			"\n",
			" // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
			" if (this.ResizeObserver === undefined) {\n",
			" if (window.ResizeObserver !== undefined) {\n",
			" this.ResizeObserver = window.ResizeObserver;\n",
			" } else {\n",
			" var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
			" this.ResizeObserver = obs.ResizeObserver;\n",
			" }\n",
			" }\n",
			"\n",
			" this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
			" var nentries = entries.length;\n",
			" for (var i = 0; i < nentries; i++) {\n",
			" var entry = entries[i];\n",
			" var width, height;\n",
			" if (entry.contentBoxSize) {\n",
			" if (entry.contentBoxSize instanceof Array) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" width = entry.contentBoxSize[0].inlineSize;\n",
			" height = entry.contentBoxSize[0].blockSize;\n",
			" } else {\n",
			" // Firefox implements old version of spec.\n",
			" width = entry.contentBoxSize.inlineSize;\n",
			" height = entry.contentBoxSize.blockSize;\n",
			" }\n",
			" } else {\n",
			" // Chrome <84 implements even older version of spec.\n",
			" width = entry.contentRect.width;\n",
			" height = entry.contentRect.height;\n",
			" }\n",
			"\n",
			" // Keep the size of the canvas and rubber band canvas in sync with\n",
			" // the canvas container.\n",
			" if (entry.devicePixelContentBoxSize) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" canvas.setAttribute(\n",
			" 'width',\n",
			" entry.devicePixelContentBoxSize[0].inlineSize\n",
			" );\n",
			" canvas.setAttribute(\n",
			" 'height',\n",
			" entry.devicePixelContentBoxSize[0].blockSize\n",
			" );\n",
			" } else {\n",
			" canvas.setAttribute('width', width * fig.ratio);\n",
			" canvas.setAttribute('height', height * fig.ratio);\n",
			" }\n",
			" canvas.setAttribute(\n",
			" 'style',\n",
			" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
			" );\n",
			"\n",
			" rubberband_canvas.setAttribute('width', width);\n",
			" rubberband_canvas.setAttribute('height', height);\n",
			"\n",
			" // And update the size in Python. We ignore the initial 0/0 size\n",
			" // that occurs as the element is placed into the DOM, which should\n",
			" // otherwise not happen due to the minimum size styling.\n",
			" if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
			" fig.request_resize(width, height);\n",
			" }\n",
			" }\n",
			" });\n",
			" this.resizeObserverInstance.observe(canvas_div);\n",
			"\n",
			" function on_mouse_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.mouse_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousedown',\n",
			" on_mouse_event_closure('button_press')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseup',\n",
			" on_mouse_event_closure('button_release')\n",
			" );\n",
			" // Throttle sequential mouse events to 1 every 20ms.\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousemove',\n",
			" on_mouse_event_closure('motion_notify')\n",
			" );\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseenter',\n",
			" on_mouse_event_closure('figure_enter')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseleave',\n",
			" on_mouse_event_closure('figure_leave')\n",
			" );\n",
			"\n",
			" canvas_div.addEventListener('wheel', function (event) {\n",
			" if (event.deltaY < 0) {\n",
			" event.step = 1;\n",
			" } else {\n",
			" event.step = -1;\n",
			" }\n",
			" on_mouse_event_closure('scroll')(event);\n",
			" });\n",
			"\n",
			" canvas_div.appendChild(canvas);\n",
			" canvas_div.appendChild(rubberband_canvas);\n",
			"\n",
			" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
			" this.rubberband_context.strokeStyle = '#000000';\n",
			"\n",
			" this._resize_canvas = function (width, height, forward) {\n",
			" if (forward) {\n",
			" canvas_div.style.width = width + 'px';\n",
			" canvas_div.style.height = height + 'px';\n",
			" }\n",
			" };\n",
			"\n",
			" // Disable right mouse context menu.\n",
			" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
			" event.preventDefault();\n",
			" return false;\n",
			" });\n",
			"\n",
			" function set_focus() {\n",
			" canvas.focus();\n",
			" canvas_div.focus();\n",
			" }\n",
			"\n",
			" window.setTimeout(set_focus, 100);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'mpl-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" var button = (fig.buttons[name] = document.createElement('button'));\n",
			" button.classList = 'mpl-widget';\n",
			" button.setAttribute('role', 'button');\n",
			" button.setAttribute('aria-disabled', 'false');\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			"\n",
			" var icon_img = document.createElement('img');\n",
			" icon_img.src = '_images/' + image + '.png';\n",
			" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
			" icon_img.alt = tooltip;\n",
			" button.appendChild(icon_img);\n",
			"\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" var fmt_picker = document.createElement('select');\n",
			" fmt_picker.classList = 'mpl-widget';\n",
			" toolbar.appendChild(fmt_picker);\n",
			" this.format_dropdown = fmt_picker;\n",
			"\n",
			" for (var ind in mpl.extensions) {\n",
			" var fmt = mpl.extensions[ind];\n",
			" var option = document.createElement('option');\n",
			" option.selected = fmt === mpl.default_extension;\n",
			" option.innerHTML = fmt;\n",
			" fmt_picker.appendChild(option);\n",
			" }\n",
			"\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
			" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
			" // which will in turn request a refresh of the image.\n",
			" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_message = function (type, properties) {\n",
			" properties['type'] = type;\n",
			" properties['figure_id'] = this.id;\n",
			" this.ws.send(JSON.stringify(properties));\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_draw_message = function () {\n",
			" if (!this.waiting) {\n",
			" this.waiting = true;\n",
			" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" var format_dropdown = fig.format_dropdown;\n",
			" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
			" fig.ondownload(fig, format);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
			" var size = msg['size'];\n",
			" if (size[0] !== fig.canvas.width \|\| size[1] !== fig.canvas.height) {\n",
			" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
			" fig.send_message('refresh', {});\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
			" var x0 = msg['x0'] / fig.ratio;\n",
			" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
			" var x1 = msg['x1'] / fig.ratio;\n",
			" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
			" x0 = Math.floor(x0) + 0.5;\n",
			" y0 = Math.floor(y0) + 0.5;\n",
			" x1 = Math.floor(x1) + 0.5;\n",
			" y1 = Math.floor(y1) + 0.5;\n",
			" var min_x = Math.min(x0, x1);\n",
			" var min_y = Math.min(y0, y1);\n",
			" var width = Math.abs(x1 - x0);\n",
			" var height = Math.abs(y1 - y0);\n",
			"\n",
			" fig.rubberband_context.clearRect(\n",
			" 0,\n",
			" 0,\n",
			" fig.canvas.width / fig.ratio,\n",
			" fig.canvas.height / fig.ratio\n",
			" );\n",
			"\n",
			" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
			" // Updates the figure title.\n",
			" fig.header.textContent = msg['label'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
			" var cursor = msg['cursor'];\n",
			" switch (cursor) {\n",
			" case 0:\n",
			" cursor = 'pointer';\n",
			" break;\n",
			" case 1:\n",
			" cursor = 'default';\n",
			" break;\n",
			" case 2:\n",
			" cursor = 'crosshair';\n",
			" break;\n",
			" case 3:\n",
			" cursor = 'move';\n",
			" break;\n",
			" }\n",
			" fig.rubberband_canvas.style.cursor = cursor;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_message = function (fig, msg) {\n",
			" fig.message.textContent = msg['message'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
			" // Request the server to send over a new figure.\n",
			" fig.send_draw_message();\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
			" fig.image_mode = msg['mode'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
			" for (var key in msg) {\n",
			" if (!(key in fig.buttons)) {\n",
			" continue;\n",
			" }\n",
			" fig.buttons[key].disabled = !msg[key];\n",
			" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
			" if (msg['mode'] === 'PAN') {\n",
			" fig.buttons['Pan'].classList.add('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" } else if (msg['mode'] === 'ZOOM') {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.add('active');\n",
			" } else {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Called whenever the canvas gets updated.\n",
			" this.send_message('ack', {});\n",
			"};\n",
			"\n",
			"// A function to construct a web socket function for onmessage handling.\n",
			"// Called in the figure constructor.\n",
			"mpl.figure.prototype._make_on_message_function = function (fig) {\n",
			" return function socket_on_message(evt) {\n",
			" if (evt.data instanceof Blob) {\n",
			" /* FIXME: We get \"Resource interpreted as Image but\n",
			" * transferred with MIME type text/plain:\" errors on\n",
			" * Chrome. But how to set the MIME type? It doesn't seem\n",
			" * to be part of the websocket stream */\n",
			" evt.data.type = 'image/png';\n",
			"\n",
			" /* Free the memory for the previous frames */\n",
			" if (fig.imageObj.src) {\n",
			" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
			" fig.imageObj.src\n",
			" );\n",
			" }\n",
			"\n",
			" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
			" evt.data\n",
			" );\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" } else if (\n",
			" typeof evt.data === 'string' &&\n",
			" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
			" ) {\n",
			" fig.imageObj.src = evt.data;\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" }\n",
			"\n",
			" var msg = JSON.parse(evt.data);\n",
			" var msg_type = msg['type'];\n",
			"\n",
			" // Call the \"handle_{type}\" callback, which takes\n",
			" // the figure and JSON message as its only arguments.\n",
			" try {\n",
			" var callback = fig['handle_' + msg_type];\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"No handler for the '\" + msg_type + \"' message type: \",\n",
			" msg\n",
			" );\n",
			" return;\n",
			" }\n",
			"\n",
			" if (callback) {\n",
			" try {\n",
			" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
			" callback(fig, msg);\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
			" e,\n",
			" e.stack,\n",
			" msg\n",
			" );\n",
			" }\n",
			" }\n",
			" };\n",
			"};\n",
			"\n",
			"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
			"mpl.findpos = function (e) {\n",
			" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
			" var targ;\n",
			" if (!e) {\n",
			" e = window.event;\n",
			" }\n",
			" if (e.target) {\n",
			" targ = e.target;\n",
			" } else if (e.srcElement) {\n",
			" targ = e.srcElement;\n",
			" }\n",
			" if (targ.nodeType === 3) {\n",
			" // defeat Safari bug\n",
			" targ = targ.parentNode;\n",
			" }\n",
			"\n",
			" // pageX,Y are the mouse positions relative to the document\n",
			" var boundingRect = targ.getBoundingClientRect();\n",
			" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
			" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
			"\n",
			" return { x: x, y: y };\n",
			"};\n",
			"\n",
			"/*\n",
			" * return a copy of an object with only non-object keys\n",
			" * we need this to avoid circular references\n",
			" * http://stackoverflow.com/a/24161582/3208463\n",
			" */\n",
			"function simpleKeys(original) {\n",
			" return Object.keys(original).reduce(function (obj, key) {\n",
			" if (typeof original[key] !== 'object') {\n",
			" obj[key] = original[key];\n",
			" }\n",
			" return obj;\n",
			" }, {});\n",
			"}\n",
			"\n",
			"mpl.figure.prototype.mouse_event = function (event, name) {\n",
			" var canvas_pos = mpl.findpos(event);\n",
			"\n",
			" if (name === 'button_press') {\n",
			" this.canvas.focus();\n",
			" this.canvas_div.focus();\n",
			" }\n",
			"\n",
			" var x = canvas_pos.x * this.ratio;\n",
			" var y = canvas_pos.y * this.ratio;\n",
			"\n",
			" this.send_message(name, {\n",
			" x: x,\n",
			" y: y,\n",
			" button: event.button,\n",
			" step: event.step,\n",
			" guiEvent: simpleKeys(event),\n",
			" });\n",
			"\n",
			" /* This prevents the web browser from automatically changing to\n",
			" * the text insertion cursor when the button is pressed. We want\n",
			" * to control all of the cursor setting manually through the\n",
			" * 'cursor' event from matplotlib */\n",
			" event.preventDefault();\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
			" // Handle any extra behaviour associated with a key event\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.key_event = function (event, name) {\n",
			" // Prevent repeat events\n",
			" if (name === 'key_press') {\n",
			" if (event.which === this._key) {\n",
			" return;\n",
			" } else {\n",
			" this._key = event.which;\n",
			" }\n",
			" }\n",
			" if (name === 'key_release') {\n",
			" this._key = null;\n",
			" }\n",
			"\n",
			" var value = '';\n",
			" if (event.ctrlKey && event.which !== 17) {\n",
			" value += 'ctrl+';\n",
			" }\n",
			" if (event.altKey && event.which !== 18) {\n",
			" value += 'alt+';\n",
			" }\n",
			" if (event.shiftKey && event.which !== 16) {\n",
			" value += 'shift+';\n",
			" }\n",
			"\n",
			" value += 'k';\n",
			" value += event.which.toString();\n",
			"\n",
			" this._key_event_extra(event, name);\n",
			"\n",
			" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
			" if (name === 'download') {\n",
			" this.handle_save(this, null);\n",
			" } else {\n",
			" this.send_message('toolbar_button', { name: name });\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
			" this.message.textContent = tooltip;\n",
			"};\n",
			"\n",
			"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
			"// prettier-ignore\n",
			"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)\|\|(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)\|\|(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)\|\|n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size\|\|(r.delete(i),o.delete(i))),n.size\|\|r.delete(i),o.size\|\|cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
			"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
			"\n",
			"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
			"\n",
			"mpl.default_extension = \"png\";/* global mpl */\n",
			"\n",
			"var comm_websocket_adapter = function (comm) {\n",
			" // Create a \"websocket\"-like object which calls the given IPython comm\n",
			" // object with the appropriate methods. Currently this is a non binary\n",
			" // socket, so there is still some room for performance tuning.\n",
			" var ws = {};\n",
			"\n",
			" ws.close = function () {\n",
			" comm.close();\n",
			" };\n",
			" ws.send = function (m) {\n",
			" //console.log('sending', m);\n",
			" comm.send(m);\n",
			" };\n",
			" // Register the callback with on_msg.\n",
			" comm.on_msg(function (msg) {\n",
			" //console.log('receiving', msg['content']['data'], msg);\n",
			" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
			" ws.onmessage(msg['content']['data']);\n",
			" });\n",
			" return ws;\n",
			"};\n",
			"\n",
			"mpl.mpl_figure_comm = function (comm, msg) {\n",
			" // This is the function which gets called when the mpl process\n",
			" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
			"\n",
			" var id = msg.content.data.id;\n",
			" // Get hold of the div created by the display call when the Comm\n",
			" // socket was opened in Python.\n",
			" var element = document.getElementById(id);\n",
			" var ws_proxy = comm_websocket_adapter(comm);\n",
			"\n",
			" function ondownload(figure, _format) {\n",
			" window.open(figure.canvas.toDataURL());\n",
			" }\n",
			"\n",
			" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
			"\n",
			" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
			" // web socket which is closed, not our websocket->open comm proxy.\n",
			" ws_proxy.onopen();\n",
			"\n",
			" fig.parent_element = element;\n",
			" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
			" if (!fig.cell_info) {\n",
			" console.error('Failed to find cell for figure', id, fig);\n",
			" return;\n",
			" }\n",
			" fig.cell_info[0].output_area.element.on(\n",
			" 'cleared',\n",
			" { fig: fig },\n",
			" fig._remove_fig_handler\n",
			" );\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
			" var width = fig.canvas.width / fig.ratio;\n",
			" fig.cell_info[0].output_area.element.off(\n",
			" 'cleared',\n",
			" fig._remove_fig_handler\n",
			" );\n",
			" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
			"\n",
			" // Update the output cell to use the data from the current canvas.\n",
			" fig.push_to_output();\n",
			" var dataURL = fig.canvas.toDataURL();\n",
			" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
			" // the notebook keyboard shortcuts fail.\n",
			" IPython.keyboard_manager.enable();\n",
			" fig.parent_element.innerHTML =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			" fig.close_ws(fig, msg);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
			" fig.send_message('closing', msg);\n",
			" // fig.ws.close()\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
			" // Turn the data on the canvas into data in the output cell.\n",
			" var width = this.canvas.width / this.ratio;\n",
			" var dataURL = this.canvas.toDataURL();\n",
			" this.cell_info[1]['text/html'] =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Tell IPython that the notebook contents must change.\n",
			" IPython.notebook.set_dirty(true);\n",
			" this.send_message('ack', {});\n",
			" var fig = this;\n",
			" // Wait a second, then push the new image to the DOM so\n",
			" // that it is saved nicely (might be nice to debounce this).\n",
			" setTimeout(function () {\n",
			" fig.push_to_output();\n",
			" }, 1000);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'btn-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" var button;\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" button = fig.buttons[name] = document.createElement('button');\n",
			" button.classList = 'btn btn-default';\n",
			" button.href = '#';\n",
			" button.title = name;\n",
			" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" // Add the status bar.\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message pull-right';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"\n",
			" // Add the close button to the window.\n",
			" var buttongrp = document.createElement('div');\n",
			" buttongrp.classList = 'btn-group inline pull-right';\n",
			" button = document.createElement('button');\n",
			" button.classList = 'btn btn-mini btn-primary';\n",
			" button.href = '#';\n",
			" button.title = 'Stop Interaction';\n",
			" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
			" button.addEventListener('click', function (_evt) {\n",
			" fig.handle_close(fig, {});\n",
			" });\n",
			" button.addEventListener(\n",
			" 'mouseover',\n",
			" on_mouseover_closure('Stop Interaction')\n",
			" );\n",
			" buttongrp.appendChild(button);\n",
			" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
			" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
			" var fig = event.data.fig;\n",
			" if (event.target !== this) {\n",
			" // Ignore bubbled events from children.\n",
			" return;\n",
			" }\n",
			" fig.close_ws(fig, {});\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (el) {\n",
			" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
			" // this is important to make the div 'focusable\n",
			" el.setAttribute('tabindex', 0);\n",
			" // reach out to IPython and tell the keyboard manager to turn it's self\n",
			" // off when our div gets focus\n",
			"\n",
			" // location in version 3\n",
			" if (IPython.notebook.keyboard_manager) {\n",
			" IPython.notebook.keyboard_manager.register_events(el);\n",
			" } else {\n",
			" // location in version 2\n",
			" IPython.keyboard_manager.register_events(el);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
			" var manager = IPython.notebook.keyboard_manager;\n",
			" if (!manager) {\n",
			" manager = IPython.keyboard_manager;\n",
			" }\n",
			"\n",
			" // Check for shift+enter\n",
			" if (event.shiftKey && event.which === 13) {\n",
			" this.canvas_div.blur();\n",
			" // select the cell after this one\n",
			" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
			" IPython.notebook.select(index + 1);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" fig.ondownload(fig, null);\n",
			"};\n",
			"\n",
			"mpl.find_output_cell = function (html_output) {\n",
			" // Return the cell and output element which can be found uniquely in the notebook.\n",
			" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
			" // IPython event is triggered only after the cells have been serialised, which for\n",
			" // our purposes (turning an active figure into a static one), is too late.\n",
			" var cells = IPython.notebook.get_cells();\n",
			" var ncells = cells.length;\n",
			" for (var i = 0; i < ncells; i++) {\n",
			" var cell = cells[i];\n",
			" if (cell.cell_type === 'code') {\n",
			" for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
			" var data = cell.output_area.outputs[j];\n",
			" if (data.data) {\n",
			" // IPython >= 3 moved mimebundle to data attribute of output\n",
			" data = data.data;\n",
			" }\n",
			" if (data['text/html'] === html_output) {\n",
			" return [cell, data, j];\n",
			" }\n",
			" }\n",
			" }\n",
			" }\n",
			"};\n",
			"\n",
			"// Register the function which deals with the matplotlib target/channel.\n",
			"// The kernel may be null if the page has been refreshed.\n",
			"if (IPython.notebook.kernel !== null) {\n",
			" IPython.notebook.kernel.comm_manager.register_target(\n",
			" 'matplotlib',\n",
			" mpl.mpl_figure_comm\n",
			" );\n",
			"}\n"
			],
			"text/plain": [
			"<IPython.core.display.Javascript object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			},
			{
			"data": {
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\" width=\"600\">"
			],
			"text/plain": [
			"<IPython.core.display.HTML object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			}
			],
			"source": [
			"for col in relevant_typologies:\n",
			" plot_data_1.plot(column = col, legend = True, figsize = (6,3.5))\n",
			" plt.title(col)\n",
			" plt.tight_layout()"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 37,
			"id": "emotional-dialogue",
			"metadata": {},
			"outputs": [],
			"source": [
			"pct_typ_areas = (typology_areas.T / productive_communes.set_index('BFS_NUMMER').prod_area_km2).T * 100"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 38,
			"id": "polish-dominant",
			"metadata": {},
			"outputs": [],
			"source": [
			"plot_data_2 = productive_communes.merge(pct_typ_areas, left_on = 'BFS_NUMMER', right_index = True, how = 'left')"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 51,
			"id": "pressed-edgar",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"application/javascript": [
			"/* Put everything inside the global mpl namespace */\n",
			"/* global mpl */\n",
			"window.mpl = {};\n",
			"\n",
			"mpl.get_websocket_type = function () {\n",
			" if (typeof WebSocket !== 'undefined') {\n",
			" return WebSocket;\n",
			" } else if (typeof MozWebSocket !== 'undefined') {\n",
			" return MozWebSocket;\n",
			" } else {\n",
			" alert(\n",
			" 'Your browser does not have WebSocket support. ' +\n",
			" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
			" 'Firefox 4 and 5 are also supported but you ' +\n",
			" 'have to enable WebSockets in about:config.'\n",
			" );\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
			" this.id = figure_id;\n",
			"\n",
			" this.ws = websocket;\n",
			"\n",
			" this.supports_binary = this.ws.binaryType !== undefined;\n",
			"\n",
			" if (!this.supports_binary) {\n",
			" var warnings = document.getElementById('mpl-warnings');\n",
			" if (warnings) {\n",
			" warnings.style.display = 'block';\n",
			" warnings.textContent =\n",
			" 'This browser does not support binary websocket messages. ' +\n",
			" 'Performance may be slow.';\n",
			" }\n",
			" }\n",
			"\n",
			" this.imageObj = new Image();\n",
			"\n",
			" this.context = undefined;\n",
			" this.message = undefined;\n",
			" this.canvas = undefined;\n",
			" this.rubberband_canvas = undefined;\n",
			" this.rubberband_context = undefined;\n",
			" this.format_dropdown = undefined;\n",
			"\n",
			" this.image_mode = 'full';\n",
			"\n",
			" this.root = document.createElement('div');\n",
			" this.root.setAttribute('style', 'display: inline-block');\n",
			" this._root_extra_style(this.root);\n",
			"\n",
			" parent_element.appendChild(this.root);\n",
			"\n",
			" this._init_header(this);\n",
			" this._init_canvas(this);\n",
			" this._init_toolbar(this);\n",
			"\n",
			" var fig = this;\n",
			"\n",
			" this.waiting = false;\n",
			"\n",
			" this.ws.onopen = function () {\n",
			" fig.send_message('supports_binary', { value: fig.supports_binary });\n",
			" fig.send_message('send_image_mode', {});\n",
			" if (fig.ratio !== 1) {\n",
			" fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
			" }\n",
			" fig.send_message('refresh', {});\n",
			" };\n",
			"\n",
			" this.imageObj.onload = function () {\n",
			" if (fig.image_mode === 'full') {\n",
			" // Full images could contain transparency (where diff images\n",
			" // almost always do), so we need to clear the canvas so that\n",
			" // there is no ghosting.\n",
			" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
			" }\n",
			" fig.context.drawImage(fig.imageObj, 0, 0);\n",
			" };\n",
			"\n",
			" this.imageObj.onunload = function () {\n",
			" fig.ws.close();\n",
			" };\n",
			"\n",
			" this.ws.onmessage = this._make_on_message_function(this);\n",
			"\n",
			" this.ondownload = ondownload;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_header = function () {\n",
			" var titlebar = document.createElement('div');\n",
			" titlebar.classList =\n",
			" 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
			" var titletext = document.createElement('div');\n",
			" titletext.classList = 'ui-dialog-title';\n",
			" titletext.setAttribute(\n",
			" 'style',\n",
			" 'width: 100%; text-align: center; padding: 3px;'\n",
			" );\n",
			" titlebar.appendChild(titletext);\n",
			" this.root.appendChild(titlebar);\n",
			" this.header = titletext;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._init_canvas = function () {\n",
			" var fig = this;\n",
			"\n",
			" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
			" canvas_div.setAttribute(\n",
			" 'style',\n",
			" 'border: 1px solid #ddd;' +\n",
			" 'box-sizing: content-box;' +\n",
			" 'clear: both;' +\n",
			" 'min-height: 1px;' +\n",
			" 'min-width: 1px;' +\n",
			" 'outline: 0;' +\n",
			" 'overflow: hidden;' +\n",
			" 'position: relative;' +\n",
			" 'resize: both;'\n",
			" );\n",
			"\n",
			" function on_keyboard_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.key_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" canvas_div.addEventListener(\n",
			" 'keydown',\n",
			" on_keyboard_event_closure('key_press')\n",
			" );\n",
			" canvas_div.addEventListener(\n",
			" 'keyup',\n",
			" on_keyboard_event_closure('key_release')\n",
			" );\n",
			"\n",
			" this._canvas_extra_style(canvas_div);\n",
			" this.root.appendChild(canvas_div);\n",
			"\n",
			" var canvas = (this.canvas = document.createElement('canvas'));\n",
			" canvas.classList.add('mpl-canvas');\n",
			" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
			"\n",
			" this.context = canvas.getContext('2d');\n",
			"\n",
			" var backingStore =\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" this.context.webkitBackingStorePixelRatio \|\|\n",
			" this.context.mozBackingStorePixelRatio \|\|\n",
			" this.context.msBackingStorePixelRatio \|\|\n",
			" this.context.oBackingStorePixelRatio \|\|\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" 1;\n",
			"\n",
			" this.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
			"\n",
			" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
			" 'canvas'\n",
			" ));\n",
			" rubberband_canvas.setAttribute(\n",
			" 'style',\n",
			" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
			" );\n",
			"\n",
			" // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
			" if (this.ResizeObserver === undefined) {\n",
			" if (window.ResizeObserver !== undefined) {\n",
			" this.ResizeObserver = window.ResizeObserver;\n",
			" } else {\n",
			" var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
			" this.ResizeObserver = obs.ResizeObserver;\n",
			" }\n",
			" }\n",
			"\n",
			" this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
			" var nentries = entries.length;\n",
			" for (var i = 0; i < nentries; i++) {\n",
			" var entry = entries[i];\n",
			" var width, height;\n",
			" if (entry.contentBoxSize) {\n",
			" if (entry.contentBoxSize instanceof Array) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" width = entry.contentBoxSize[0].inlineSize;\n",
			" height = entry.contentBoxSize[0].blockSize;\n",
			" } else {\n",
			" // Firefox implements old version of spec.\n",
			" width = entry.contentBoxSize.inlineSize;\n",
			" height = entry.contentBoxSize.blockSize;\n",
			" }\n",
			" } else {\n",
			" // Chrome <84 implements even older version of spec.\n",
			" width = entry.contentRect.width;\n",
			" height = entry.contentRect.height;\n",
			" }\n",
			"\n",
			" // Keep the size of the canvas and rubber band canvas in sync with\n",
			" // the canvas container.\n",
			" if (entry.devicePixelContentBoxSize) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" canvas.setAttribute(\n",
			" 'width',\n",
			" entry.devicePixelContentBoxSize[0].inlineSize\n",
			" );\n",
			" canvas.setAttribute(\n",
			" 'height',\n",
			" entry.devicePixelContentBoxSize[0].blockSize\n",
			" );\n",
			" } else {\n",
			" canvas.setAttribute('width', width * fig.ratio);\n",
			" canvas.setAttribute('height', height * fig.ratio);\n",
			" }\n",
			" canvas.setAttribute(\n",
			" 'style',\n",
			" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
			" );\n",
			"\n",
			" rubberband_canvas.setAttribute('width', width);\n",
			" rubberband_canvas.setAttribute('height', height);\n",
			"\n",
			" // And update the size in Python. We ignore the initial 0/0 size\n",
			" // that occurs as the element is placed into the DOM, which should\n",
			" // otherwise not happen due to the minimum size styling.\n",
			" if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
			" fig.request_resize(width, height);\n",
			" }\n",
			" }\n",
			" });\n",
			" this.resizeObserverInstance.observe(canvas_div);\n",
			"\n",
			" function on_mouse_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.mouse_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousedown',\n",
			" on_mouse_event_closure('button_press')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseup',\n",
			" on_mouse_event_closure('button_release')\n",
			" );\n",
			" // Throttle sequential mouse events to 1 every 20ms.\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousemove',\n",
			" on_mouse_event_closure('motion_notify')\n",
			" );\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseenter',\n",
			" on_mouse_event_closure('figure_enter')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseleave',\n",
			" on_mouse_event_closure('figure_leave')\n",
			" );\n",
			"\n",
			" canvas_div.addEventListener('wheel', function (event) {\n",
			" if (event.deltaY < 0) {\n",
			" event.step = 1;\n",
			" } else {\n",
			" event.step = -1;\n",
			" }\n",
			" on_mouse_event_closure('scroll')(event);\n",
			" });\n",
			"\n",
			" canvas_div.appendChild(canvas);\n",
			" canvas_div.appendChild(rubberband_canvas);\n",
			"\n",
			" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
			" this.rubberband_context.strokeStyle = '#000000';\n",
			"\n",
			" this._resize_canvas = function (width, height, forward) {\n",
			" if (forward) {\n",
			" canvas_div.style.width = width + 'px';\n",
			" canvas_div.style.height = height + 'px';\n",
			" }\n",
			" };\n",
			"\n",
			" // Disable right mouse context menu.\n",
			" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
			" event.preventDefault();\n",
			" return false;\n",
			" });\n",
			"\n",
			" function set_focus() {\n",
			" canvas.focus();\n",
			" canvas_div.focus();\n",
			" }\n",
			"\n",
			" window.setTimeout(set_focus, 100);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'mpl-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" var button = (fig.buttons[name] = document.createElement('button'));\n",
			" button.classList = 'mpl-widget';\n",
			" button.setAttribute('role', 'button');\n",
			" button.setAttribute('aria-disabled', 'false');\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			"\n",
			" var icon_img = document.createElement('img');\n",
			" icon_img.src = '_images/' + image + '.png';\n",
			" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
			" icon_img.alt = tooltip;\n",
			" button.appendChild(icon_img);\n",
			"\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" var fmt_picker = document.createElement('select');\n",
			" fmt_picker.classList = 'mpl-widget';\n",
			" toolbar.appendChild(fmt_picker);\n",
			" this.format_dropdown = fmt_picker;\n",
			"\n",
			" for (var ind in mpl.extensions) {\n",
			" var fmt = mpl.extensions[ind];\n",
			" var option = document.createElement('option');\n",
			" option.selected = fmt === mpl.default_extension;\n",
			" option.innerHTML = fmt;\n",
			" fmt_picker.appendChild(option);\n",
			" }\n",
			"\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
			" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
			" // which will in turn request a refresh of the image.\n",
			" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_message = function (type, properties) {\n",
			" properties['type'] = type;\n",
			" properties['figure_id'] = this.id;\n",
			" this.ws.send(JSON.stringify(properties));\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_draw_message = function () {\n",
			" if (!this.waiting) {\n",
			" this.waiting = true;\n",
			" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" var format_dropdown = fig.format_dropdown;\n",
			" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
			" fig.ondownload(fig, format);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
			" var size = msg['size'];\n",
			" if (size[0] !== fig.canvas.width \|\| size[1] !== fig.canvas.height) {\n",
			" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
			" fig.send_message('refresh', {});\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
			" var x0 = msg['x0'] / fig.ratio;\n",
			" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
			" var x1 = msg['x1'] / fig.ratio;\n",
			" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
			" x0 = Math.floor(x0) + 0.5;\n",
			" y0 = Math.floor(y0) + 0.5;\n",
			" x1 = Math.floor(x1) + 0.5;\n",
			" y1 = Math.floor(y1) + 0.5;\n",
			" var min_x = Math.min(x0, x1);\n",
			" var min_y = Math.min(y0, y1);\n",
			" var width = Math.abs(x1 - x0);\n",
			" var height = Math.abs(y1 - y0);\n",
			"\n",
			" fig.rubberband_context.clearRect(\n",
			" 0,\n",
			" 0,\n",
			" fig.canvas.width / fig.ratio,\n",
			" fig.canvas.height / fig.ratio\n",
			" );\n",
			"\n",
			" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
			" // Updates the figure title.\n",
			" fig.header.textContent = msg['label'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
			" var cursor = msg['cursor'];\n",
			" switch (cursor) {\n",
			" case 0:\n",
			" cursor = 'pointer';\n",
			" break;\n",
			" case 1:\n",
			" cursor = 'default';\n",
			" break;\n",
			" case 2:\n",
			" cursor = 'crosshair';\n",
			" break;\n",
			" case 3:\n",
			" cursor = 'move';\n",
			" break;\n",
			" }\n",
			" fig.rubberband_canvas.style.cursor = cursor;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_message = function (fig, msg) {\n",
			" fig.message.textContent = msg['message'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
			" // Request the server to send over a new figure.\n",
			" fig.send_draw_message();\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
			" fig.image_mode = msg['mode'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
			" for (var key in msg) {\n",
			" if (!(key in fig.buttons)) {\n",
			" continue;\n",
			" }\n",
			" fig.buttons[key].disabled = !msg[key];\n",
			" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
			" if (msg['mode'] === 'PAN') {\n",
			" fig.buttons['Pan'].classList.add('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" } else if (msg['mode'] === 'ZOOM') {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.add('active');\n",
			" } else {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Called whenever the canvas gets updated.\n",
			" this.send_message('ack', {});\n",
			"};\n",
			"\n",
			"// A function to construct a web socket function for onmessage handling.\n",
			"// Called in the figure constructor.\n",
			"mpl.figure.prototype._make_on_message_function = function (fig) {\n",
			" return function socket_on_message(evt) {\n",
			" if (evt.data instanceof Blob) {\n",
			" /* FIXME: We get \"Resource interpreted as Image but\n",
			" * transferred with MIME type text/plain:\" errors on\n",
			" * Chrome. But how to set the MIME type? It doesn't seem\n",
			" * to be part of the websocket stream */\n",
			" evt.data.type = 'image/png';\n",
			"\n",
			" /* Free the memory for the previous frames */\n",
			" if (fig.imageObj.src) {\n",
			" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
			" fig.imageObj.src\n",
			" );\n",
			" }\n",
			"\n",
			" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
			" evt.data\n",
			" );\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" } else if (\n",
			" typeof evt.data === 'string' &&\n",
			" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
			" ) {\n",
			" fig.imageObj.src = evt.data;\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" }\n",
			"\n",
			" var msg = JSON.parse(evt.data);\n",
			" var msg_type = msg['type'];\n",
			"\n",
			" // Call the \"handle_{type}\" callback, which takes\n",
			" // the figure and JSON message as its only arguments.\n",
			" try {\n",
			" var callback = fig['handle_' + msg_type];\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"No handler for the '\" + msg_type + \"' message type: \",\n",
			" msg\n",
			" );\n",
			" return;\n",
			" }\n",
			"\n",
			" if (callback) {\n",
			" try {\n",
			" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
			" callback(fig, msg);\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
			" e,\n",
			" e.stack,\n",
			" msg\n",
			" );\n",
			" }\n",
			" }\n",
			" };\n",
			"};\n",
			"\n",
			"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
			"mpl.findpos = function (e) {\n",
			" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
			" var targ;\n",
			" if (!e) {\n",
			" e = window.event;\n",
			" }\n",
			" if (e.target) {\n",
			" targ = e.target;\n",
			" } else if (e.srcElement) {\n",
			" targ = e.srcElement;\n",
			" }\n",
			" if (targ.nodeType === 3) {\n",
			" // defeat Safari bug\n",
			" targ = targ.parentNode;\n",
			" }\n",
			"\n",
			" // pageX,Y are the mouse positions relative to the document\n",
			" var boundingRect = targ.getBoundingClientRect();\n",
			" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
			" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
			"\n",
			" return { x: x, y: y };\n",
			"};\n",
			"\n",
			"/*\n",
			" * return a copy of an object with only non-object keys\n",
			" * we need this to avoid circular references\n",
			" * http://stackoverflow.com/a/24161582/3208463\n",
			" */\n",
			"function simpleKeys(original) {\n",
			" return Object.keys(original).reduce(function (obj, key) {\n",
			" if (typeof original[key] !== 'object') {\n",
			" obj[key] = original[key];\n",
			" }\n",
			" return obj;\n",
			" }, {});\n",
			"}\n",
			"\n",
			"mpl.figure.prototype.mouse_event = function (event, name) {\n",
			" var canvas_pos = mpl.findpos(event);\n",
			"\n",
			" if (name === 'button_press') {\n",
			" this.canvas.focus();\n",
			" this.canvas_div.focus();\n",
			" }\n",
			"\n",
			" var x = canvas_pos.x * this.ratio;\n",
			" var y = canvas_pos.y * this.ratio;\n",
			"\n",
			" this.send_message(name, {\n",
			" x: x,\n",
			" y: y,\n",
			" button: event.button,\n",
			" step: event.step,\n",
			" guiEvent: simpleKeys(event),\n",
			" });\n",
			"\n",
			" /* This prevents the web browser from automatically changing to\n",
			" * the text insertion cursor when the button is pressed. We want\n",
			" * to control all of the cursor setting manually through the\n",
			" * 'cursor' event from matplotlib */\n",
			" event.preventDefault();\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
			" // Handle any extra behaviour associated with a key event\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.key_event = function (event, name) {\n",
			" // Prevent repeat events\n",
			" if (name === 'key_press') {\n",
			" if (event.which === this._key) {\n",
			" return;\n",
			" } else {\n",
			" this._key = event.which;\n",
			" }\n",
			" }\n",
			" if (name === 'key_release') {\n",
			" this._key = null;\n",
			" }\n",
			"\n",
			" var value = '';\n",
			" if (event.ctrlKey && event.which !== 17) {\n",
			" value += 'ctrl+';\n",
			" }\n",
			" if (event.altKey && event.which !== 18) {\n",
			" value += 'alt+';\n",
			" }\n",
			" if (event.shiftKey && event.which !== 16) {\n",
			" value += 'shift+';\n",
			" }\n",
			"\n",
			" value += 'k';\n",
			" value += event.which.toString();\n",
			"\n",
			" this._key_event_extra(event, name);\n",
			"\n",
			" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
			" if (name === 'download') {\n",
			" this.handle_save(this, null);\n",
			" } else {\n",
			" this.send_message('toolbar_button', { name: name });\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
			" this.message.textContent = tooltip;\n",
			"};\n",
			"\n",
			"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
			"// prettier-ignore\n",
			"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)\|\|(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)\|\|(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)\|\|n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size\|\|(r.delete(i),o.delete(i))),n.size\|\|r.delete(i),o.size\|\|cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
			"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
			"\n",
			"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
			"\n",
			"mpl.default_extension = \"png\";/* global mpl */\n",
			"\n",
			"var comm_websocket_adapter = function (comm) {\n",
			" // Create a \"websocket\"-like object which calls the given IPython comm\n",
			" // object with the appropriate methods. Currently this is a non binary\n",
			" // socket, so there is still some room for performance tuning.\n",
			" var ws = {};\n",
			"\n",
			" ws.close = function () {\n",
			" comm.close();\n",
			" };\n",
			" ws.send = function (m) {\n",
			" //console.log('sending', m);\n",
			" comm.send(m);\n",
			" };\n",
			" // Register the callback with on_msg.\n",
			" comm.on_msg(function (msg) {\n",
			" //console.log('receiving', msg['content']['data'], msg);\n",
			" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
			" ws.onmessage(msg['content']['data']);\n",
			" });\n",
			" return ws;\n",
			"};\n",
			"\n",
			"mpl.mpl_figure_comm = function (comm, msg) {\n",
			" // This is the function which gets called when the mpl process\n",
			" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
			"\n",
			" var id = msg.content.data.id;\n",
			" // Get hold of the div created by the display call when the Comm\n",
			" // socket was opened in Python.\n",
			" var element = document.getElementById(id);\n",
			" var ws_proxy = comm_websocket_adapter(comm);\n",
			"\n",
			" function ondownload(figure, _format) {\n",
			" window.open(figure.canvas.toDataURL());\n",
			" }\n",
			"\n",
			" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
			"\n",
			" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
			" // web socket which is closed, not our websocket->open comm proxy.\n",
			" ws_proxy.onopen();\n",
			"\n",
			" fig.parent_element = element;\n",
			" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
			" if (!fig.cell_info) {\n",
			" console.error('Failed to find cell for figure', id, fig);\n",
			" return;\n",
			" }\n",
			" fig.cell_info[0].output_area.element.on(\n",
			" 'cleared',\n",
			" { fig: fig },\n",
			" fig._remove_fig_handler\n",
			" );\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
			" var width = fig.canvas.width / fig.ratio;\n",
			" fig.cell_info[0].output_area.element.off(\n",
			" 'cleared',\n",
			" fig._remove_fig_handler\n",
			" );\n",
			" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
			"\n",
			" // Update the output cell to use the data from the current canvas.\n",
			" fig.push_to_output();\n",
			" var dataURL = fig.canvas.toDataURL();\n",
			" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
			" // the notebook keyboard shortcuts fail.\n",
			" IPython.keyboard_manager.enable();\n",
			" fig.parent_element.innerHTML =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			" fig.close_ws(fig, msg);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
			" fig.send_message('closing', msg);\n",
			" // fig.ws.close()\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
			" // Turn the data on the canvas into data in the output cell.\n",
			" var width = this.canvas.width / this.ratio;\n",
			" var dataURL = this.canvas.toDataURL();\n",
			" this.cell_info[1]['text/html'] =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Tell IPython that the notebook contents must change.\n",
			" IPython.notebook.set_dirty(true);\n",
			" this.send_message('ack', {});\n",
			" var fig = this;\n",
			" // Wait a second, then push the new image to the DOM so\n",
			" // that it is saved nicely (might be nice to debounce this).\n",
			" setTimeout(function () {\n",
			" fig.push_to_output();\n",
			" }, 1000);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'btn-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" var button;\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" button = fig.buttons[name] = document.createElement('button');\n",
			" button.classList = 'btn btn-default';\n",
			" button.href = '#';\n",
			" button.title = name;\n",
			" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" // Add the status bar.\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message pull-right';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"\n",
			" // Add the close button to the window.\n",
			" var buttongrp = document.createElement('div');\n",
			" buttongrp.classList = 'btn-group inline pull-right';\n",
			" button = document.createElement('button');\n",
			" button.classList = 'btn btn-mini btn-primary';\n",
			" button.href = '#';\n",
			" button.title = 'Stop Interaction';\n",
			" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
			" button.addEventListener('click', function (_evt) {\n",
			" fig.handle_close(fig, {});\n",
			" });\n",
			" button.addEventListener(\n",
			" 'mouseover',\n",
			" on_mouseover_closure('Stop Interaction')\n",
			" );\n",
			" buttongrp.appendChild(button);\n",
			" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
			" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
			" var fig = event.data.fig;\n",
			" if (event.target !== this) {\n",
			" // Ignore bubbled events from children.\n",
			" return;\n",
			" }\n",
			" fig.close_ws(fig, {});\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (el) {\n",
			" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
			" // this is important to make the div 'focusable\n",
			" el.setAttribute('tabindex', 0);\n",
			" // reach out to IPython and tell the keyboard manager to turn it's self\n",
			" // off when our div gets focus\n",
			"\n",
			" // location in version 3\n",
			" if (IPython.notebook.keyboard_manager) {\n",
			" IPython.notebook.keyboard_manager.register_events(el);\n",
			" } else {\n",
			" // location in version 2\n",
			" IPython.keyboard_manager.register_events(el);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
			" var manager = IPython.notebook.keyboard_manager;\n",
			" if (!manager) {\n",
			" manager = IPython.keyboard_manager;\n",
			" }\n",
			"\n",
			" // Check for shift+enter\n",
			" if (event.shiftKey && event.which === 13) {\n",
			" this.canvas_div.blur();\n",
			" // select the cell after this one\n",
			" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
			" IPython.notebook.select(index + 1);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" fig.ondownload(fig, null);\n",
			"};\n",
			"\n",
			"mpl.find_output_cell = function (html_output) {\n",
			" // Return the cell and output element which can be found uniquely in the notebook.\n",
			" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
			" // IPython event is triggered only after the cells have been serialised, which for\n",
			" // our purposes (turning an active figure into a static one), is too late.\n",
			" var cells = IPython.notebook.get_cells();\n",
			" var ncells = cells.length;\n",
			" for (var i = 0; i < ncells; i++) {\n",
			" var cell = cells[i];\n",
			" if (cell.cell_type === 'code') {\n",
			" for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
			" var data = cell.output_area.outputs[j];\n",
			" if (data.data) {\n",
			" // IPython >= 3 moved mimebundle to data attribute of output\n",
			" data = data.data;\n",
			" }\n",
			" if (data['text/html'] === html_output) {\n",
			" return [cell, data, j];\n",
			" }\n",
			" }\n",
			" }\n",
			" }\n",
			"};\n",
			"\n",
			"// Register the function which deals with the matplotlib target/channel.\n",
			"// The kernel may be null if the page has been refreshed.\n",
			"if (IPython.notebook.kernel !== null) {\n",
			" IPython.notebook.kernel.comm_manager.register_target(\n",
			" 'matplotlib',\n",
			" mpl.mpl_figure_comm\n",
			" );\n",
			"}\n"
			],
			"text/plain": [
			"<IPython.core.display.Javascript object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			},
			{
			"data": {
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\" width=\"600\">"
			],
			"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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
			" }\n",
			" fig.send_message('refresh', {});\n",
			" };\n",
			"\n",
			" this.imageObj.onload = function () {\n",
			" if (fig.image_mode === 'full') {\n",
			" // Full images could contain transparency (where diff images\n",
			" // almost always do), so we need to clear the canvas so that\n",
			" // there is no ghosting.\n",
			" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
			" }\n",
			" fig.context.drawImage(fig.imageObj, 0, 0);\n",
			" };\n",
			"\n",
			" this.imageObj.onunload = function () {\n",
			" fig.ws.close();\n",
			" };\n",
			"\n",
			" this.ws.onmessage = this._make_on_message_function(this);\n",
			"\n",
			" this.ondownload = ondownload;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_header = function () {\n",
			" var titlebar = document.createElement('div');\n",
			" titlebar.classList =\n",
			" 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
			" var titletext = document.createElement('div');\n",
			" titletext.classList = 'ui-dialog-title';\n",
			" titletext.setAttribute(\n",
			" 'style',\n",
			" 'width: 100%; text-align: center; padding: 3px;'\n",
			" );\n",
			" titlebar.appendChild(titletext);\n",
			" this.root.appendChild(titlebar);\n",
			" this.header = titletext;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._init_canvas = function () {\n",
			" var fig = this;\n",
			"\n",
			" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
			" canvas_div.setAttribute(\n",
			" 'style',\n",
			" 'border: 1px solid #ddd;' +\n",
			" 'box-sizing: content-box;' +\n",
			" 'clear: both;' +\n",
			" 'min-height: 1px;' +\n",
			" 'min-width: 1px;' +\n",
			" 'outline: 0;' +\n",
			" 'overflow: hidden;' +\n",
			" 'position: relative;' +\n",
			" 'resize: both;'\n",
			" );\n",
			"\n",
			" function on_keyboard_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.key_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" canvas_div.addEventListener(\n",
			" 'keydown',\n",
			" on_keyboard_event_closure('key_press')\n",
			" );\n",
			" canvas_div.addEventListener(\n",
			" 'keyup',\n",
			" on_keyboard_event_closure('key_release')\n",
			" );\n",
			"\n",
			" this._canvas_extra_style(canvas_div);\n",
			" this.root.appendChild(canvas_div);\n",
			"\n",
			" var canvas = (this.canvas = document.createElement('canvas'));\n",
			" canvas.classList.add('mpl-canvas');\n",
			" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
			"\n",
			" this.context = canvas.getContext('2d');\n",
			"\n",
			" var backingStore =\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" this.context.webkitBackingStorePixelRatio \|\|\n",
			" this.context.mozBackingStorePixelRatio \|\|\n",
			" this.context.msBackingStorePixelRatio \|\|\n",
			" this.context.oBackingStorePixelRatio \|\|\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" 1;\n",
			"\n",
			" this.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
			"\n",
			" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
			" 'canvas'\n",
			" ));\n",
			" rubberband_canvas.setAttribute(\n",
			" 'style',\n",
			" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
			" );\n",
			"\n",
			" // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
			" if (this.ResizeObserver === undefined) {\n",
			" if (window.ResizeObserver !== undefined) {\n",
			" this.ResizeObserver = window.ResizeObserver;\n",
			" } else {\n",
			" var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
			" this.ResizeObserver = obs.ResizeObserver;\n",
			" }\n",
			" }\n",
			"\n",
			" this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
			" var nentries = entries.length;\n",
			" for (var i = 0; i < nentries; i++) {\n",
			" var entry = entries[i];\n",
			" var width, height;\n",
			" if (entry.contentBoxSize) {\n",
			" if (entry.contentBoxSize instanceof Array) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" width = entry.contentBoxSize[0].inlineSize;\n",
			" height = entry.contentBoxSize[0].blockSize;\n",
			" } else {\n",
			" // Firefox implements old version of spec.\n",
			" width = entry.contentBoxSize.inlineSize;\n",
			" height = entry.contentBoxSize.blockSize;\n",
			" }\n",
			" } else {\n",
			" // Chrome <84 implements even older version of spec.\n",
			" width = entry.contentRect.width;\n",
			" height = entry.contentRect.height;\n",
			" }\n",
			"\n",
			" // Keep the size of the canvas and rubber band canvas in sync with\n",
			" // the canvas container.\n",
			" if (entry.devicePixelContentBoxSize) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" canvas.setAttribute(\n",
			" 'width',\n",
			" entry.devicePixelContentBoxSize[0].inlineSize\n",
			" );\n",
			" canvas.setAttribute(\n",
			" 'height',\n",
			" entry.devicePixelContentBoxSize[0].blockSize\n",
			" );\n",
			" } else {\n",
			" canvas.setAttribute('width', width * fig.ratio);\n",
			" canvas.setAttribute('height', height * fig.ratio);\n",
			" }\n",
			" canvas.setAttribute(\n",
			" 'style',\n",
			" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
			" );\n",
			"\n",
			" rubberband_canvas.setAttribute('width', width);\n",
			" rubberband_canvas.setAttribute('height', height);\n",
			"\n",
			" // And update the size in Python. We ignore the initial 0/0 size\n",
			" // that occurs as the element is placed into the DOM, which should\n",
			" // otherwise not happen due to the minimum size styling.\n",
			" if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
			" fig.request_resize(width, height);\n",
			" }\n",
			" }\n",
			" });\n",
			" this.resizeObserverInstance.observe(canvas_div);\n",
			"\n",
			" function on_mouse_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.mouse_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousedown',\n",
			" on_mouse_event_closure('button_press')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseup',\n",
			" on_mouse_event_closure('button_release')\n",
			" );\n",
			" // Throttle sequential mouse events to 1 every 20ms.\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousemove',\n",
			" on_mouse_event_closure('motion_notify')\n",
			" );\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseenter',\n",
			" on_mouse_event_closure('figure_enter')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseleave',\n",
			" on_mouse_event_closure('figure_leave')\n",
			" );\n",
			"\n",
			" canvas_div.addEventListener('wheel', function (event) {\n",
			" if (event.deltaY < 0) {\n",
			" event.step = 1;\n",
			" } else {\n",
			" event.step = -1;\n",
			" }\n",
			" on_mouse_event_closure('scroll')(event);\n",
			" });\n",
			"\n",
			" canvas_div.appendChild(canvas);\n",
			" canvas_div.appendChild(rubberband_canvas);\n",
			"\n",
			" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
			" this.rubberband_context.strokeStyle = '#000000';\n",
			"\n",
			" this._resize_canvas = function (width, height, forward) {\n",
			" if (forward) {\n",
			" canvas_div.style.width = width + 'px';\n",
			" canvas_div.style.height = height + 'px';\n",
			" }\n",
			" };\n",
			"\n",
			" // Disable right mouse context menu.\n",
			" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
			" event.preventDefault();\n",
			" return false;\n",
			" });\n",
			"\n",
			" function set_focus() {\n",
			" canvas.focus();\n",
			" canvas_div.focus();\n",
			" }\n",
			"\n",
			" window.setTimeout(set_focus, 100);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'mpl-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" var button = (fig.buttons[name] = document.createElement('button'));\n",
			" button.classList = 'mpl-widget';\n",
			" button.setAttribute('role', 'button');\n",
			" button.setAttribute('aria-disabled', 'false');\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			"\n",
			" var icon_img = document.createElement('img');\n",
			" icon_img.src = '_images/' + image + '.png';\n",
			" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
			" icon_img.alt = tooltip;\n",
			" button.appendChild(icon_img);\n",
			"\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" var fmt_picker = document.createElement('select');\n",
			" fmt_picker.classList = 'mpl-widget';\n",
			" toolbar.appendChild(fmt_picker);\n",
			" this.format_dropdown = fmt_picker;\n",
			"\n",
			" for (var ind in mpl.extensions) {\n",
			" var fmt = mpl.extensions[ind];\n",
			" var option = document.createElement('option');\n",
			" option.selected = fmt === mpl.default_extension;\n",
			" option.innerHTML = fmt;\n",
			" fmt_picker.appendChild(option);\n",
			" }\n",
			"\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
			" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
			" // which will in turn request a refresh of the image.\n",
			" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_message = function (type, properties) {\n",
			" properties['type'] = type;\n",
			" properties['figure_id'] = this.id;\n",
			" this.ws.send(JSON.stringify(properties));\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_draw_message = function () {\n",
			" if (!this.waiting) {\n",
			" this.waiting = true;\n",
			" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" var format_dropdown = fig.format_dropdown;\n",
			" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
			" fig.ondownload(fig, format);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
			" var size = msg['size'];\n",
			" if (size[0] !== fig.canvas.width \|\| size[1] !== fig.canvas.height) {\n",
			" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
			" fig.send_message('refresh', {});\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
			" var x0 = msg['x0'] / fig.ratio;\n",
			" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
			" var x1 = msg['x1'] / fig.ratio;\n",
			" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
			" x0 = Math.floor(x0) + 0.5;\n",
			" y0 = Math.floor(y0) + 0.5;\n",
			" x1 = Math.floor(x1) + 0.5;\n",
			" y1 = Math.floor(y1) + 0.5;\n",
			" var min_x = Math.min(x0, x1);\n",
			" var min_y = Math.min(y0, y1);\n",
			" var width = Math.abs(x1 - x0);\n",
			" var height = Math.abs(y1 - y0);\n",
			"\n",
			" fig.rubberband_context.clearRect(\n",
			" 0,\n",
			" 0,\n",
			" fig.canvas.width / fig.ratio,\n",
			" fig.canvas.height / fig.ratio\n",
			" );\n",
			"\n",
			" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
			" // Updates the figure title.\n",
			" fig.header.textContent = msg['label'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
			" var cursor = msg['cursor'];\n",
			" switch (cursor) {\n",
			" case 0:\n",
			" cursor = 'pointer';\n",
			" break;\n",
			" case 1:\n",
			" cursor = 'default';\n",
			" break;\n",
			" case 2:\n",
			" cursor = 'crosshair';\n",
			" break;\n",
			" case 3:\n",
			" cursor = 'move';\n",
			" break;\n",
			" }\n",
			" fig.rubberband_canvas.style.cursor = cursor;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_message = function (fig, msg) {\n",
			" fig.message.textContent = msg['message'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
			" // Request the server to send over a new figure.\n",
			" fig.send_draw_message();\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
			" fig.image_mode = msg['mode'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
			" for (var key in msg) {\n",
			" if (!(key in fig.buttons)) {\n",
			" continue;\n",
			" }\n",
			" fig.buttons[key].disabled = !msg[key];\n",
			" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
			" if (msg['mode'] === 'PAN') {\n",
			" fig.buttons['Pan'].classList.add('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" } else if (msg['mode'] === 'ZOOM') {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.add('active');\n",
			" } else {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Called whenever the canvas gets updated.\n",
			" this.send_message('ack', {});\n",
			"};\n",
			"\n",
			"// A function to construct a web socket function for onmessage handling.\n",
			"// Called in the figure constructor.\n",
			"mpl.figure.prototype._make_on_message_function = function (fig) {\n",
			" return function socket_on_message(evt) {\n",
			" if (evt.data instanceof Blob) {\n",
			" /* FIXME: We get \"Resource interpreted as Image but\n",
			" * transferred with MIME type text/plain:\" errors on\n",
			" * Chrome. But how to set the MIME type? It doesn't seem\n",
			" * to be part of the websocket stream */\n",
			" evt.data.type = 'image/png';\n",
			"\n",
			" /* Free the memory for the previous frames */\n",
			" if (fig.imageObj.src) {\n",
			" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
			" fig.imageObj.src\n",
			" );\n",
			" }\n",
			"\n",
			" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
			" evt.data\n",
			" );\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" } else if (\n",
			" typeof evt.data === 'string' &&\n",
			" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
			" ) {\n",
			" fig.imageObj.src = evt.data;\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" }\n",
			"\n",
			" var msg = JSON.parse(evt.data);\n",
			" var msg_type = msg['type'];\n",
			"\n",
			" // Call the \"handle_{type}\" callback, which takes\n",
			" // the figure and JSON message as its only arguments.\n",
			" try {\n",
			" var callback = fig['handle_' + msg_type];\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"No handler for the '\" + msg_type + \"' message type: \",\n",
			" msg\n",
			" );\n",
			" return;\n",
			" }\n",
			"\n",
			" if (callback) {\n",
			" try {\n",
			" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
			" callback(fig, msg);\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
			" e,\n",
			" e.stack,\n",
			" msg\n",
			" );\n",
			" }\n",
			" }\n",
			" };\n",
			"};\n",
			"\n",
			"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
			"mpl.findpos = function (e) {\n",
			" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
			" var targ;\n",
			" if (!e) {\n",
			" e = window.event;\n",
			" }\n",
			" if (e.target) {\n",
			" targ = e.target;\n",
			" } else if (e.srcElement) {\n",
			" targ = e.srcElement;\n",
			" }\n",
			" if (targ.nodeType === 3) {\n",
			" // defeat Safari bug\n",
			" targ = targ.parentNode;\n",
			" }\n",
			"\n",
			" // pageX,Y are the mouse positions relative to the document\n",
			" var boundingRect = targ.getBoundingClientRect();\n",
			" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
			" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
			"\n",
			" return { x: x, y: y };\n",
			"};\n",
			"\n",
			"/*\n",
			" * return a copy of an object with only non-object keys\n",
			" * we need this to avoid circular references\n",
			" * http://stackoverflow.com/a/24161582/3208463\n",
			" */\n",
			"function simpleKeys(original) {\n",
			" return Object.keys(original).reduce(function (obj, key) {\n",
			" if (typeof original[key] !== 'object') {\n",
			" obj[key] = original[key];\n",
			" }\n",
			" return obj;\n",
			" }, {});\n",
			"}\n",
			"\n",
			"mpl.figure.prototype.mouse_event = function (event, name) {\n",
			" var canvas_pos = mpl.findpos(event);\n",
			"\n",
			" if (name === 'button_press') {\n",
			" this.canvas.focus();\n",
			" this.canvas_div.focus();\n",
			" }\n",
			"\n",
			" var x = canvas_pos.x * this.ratio;\n",
			" var y = canvas_pos.y * this.ratio;\n",
			"\n",
			" this.send_message(name, {\n",
			" x: x,\n",
			" y: y,\n",
			" button: event.button,\n",
			" step: event.step,\n",
			" guiEvent: simpleKeys(event),\n",
			" });\n",
			"\n",
			" /* This prevents the web browser from automatically changing to\n",
			" * the text insertion cursor when the button is pressed. We want\n",
			" * to control all of the cursor setting manually through the\n",
			" * 'cursor' event from matplotlib */\n",
			" event.preventDefault();\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
			" // Handle any extra behaviour associated with a key event\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.key_event = function (event, name) {\n",
			" // Prevent repeat events\n",
			" if (name === 'key_press') {\n",
			" if (event.which === this._key) {\n",
			" return;\n",
			" } else {\n",
			" this._key = event.which;\n",
			" }\n",
			" }\n",
			" if (name === 'key_release') {\n",
			" this._key = null;\n",
			" }\n",
			"\n",
			" var value = '';\n",
			" if (event.ctrlKey && event.which !== 17) {\n",
			" value += 'ctrl+';\n",
			" }\n",
			" if (event.altKey && event.which !== 18) {\n",
			" value += 'alt+';\n",
			" }\n",
			" if (event.shiftKey && event.which !== 16) {\n",
			" value += 'shift+';\n",
			" }\n",
			"\n",
			" value += 'k';\n",
			" value += event.which.toString();\n",
			"\n",
			" this._key_event_extra(event, name);\n",
			"\n",
			" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
			" if (name === 'download') {\n",
			" this.handle_save(this, null);\n",
			" } else {\n",
			" this.send_message('toolbar_button', { name: name });\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
			" this.message.textContent = tooltip;\n",
			"};\n",
			"\n",
			"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
			"// prettier-ignore\n",
			"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)\|\|(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)\|\|(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)\|\|n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size\|\|(r.delete(i),o.delete(i))),n.size\|\|r.delete(i),o.size\|\|cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
			"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
			"\n",
			"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
			"\n",
			"mpl.default_extension = \"png\";/* global mpl */\n",
			"\n",
			"var comm_websocket_adapter = function (comm) {\n",
			" // Create a \"websocket\"-like object which calls the given IPython comm\n",
			" // object with the appropriate methods. Currently this is a non binary\n",
			" // socket, so there is still some room for performance tuning.\n",
			" var ws = {};\n",
			"\n",
			" ws.close = function () {\n",
			" comm.close();\n",
			" };\n",
			" ws.send = function (m) {\n",
			" //console.log('sending', m);\n",
			" comm.send(m);\n",
			" };\n",
			" // Register the callback with on_msg.\n",
			" comm.on_msg(function (msg) {\n",
			" //console.log('receiving', msg['content']['data'], msg);\n",
			" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
			" ws.onmessage(msg['content']['data']);\n",
			" });\n",
			" return ws;\n",
			"};\n",
			"\n",
			"mpl.mpl_figure_comm = function (comm, msg) {\n",
			" // This is the function which gets called when the mpl process\n",
			" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
			"\n",
			" var id = msg.content.data.id;\n",
			" // Get hold of the div created by the display call when the Comm\n",
			" // socket was opened in Python.\n",
			" var element = document.getElementById(id);\n",
			" var ws_proxy = comm_websocket_adapter(comm);\n",
			"\n",
			" function ondownload(figure, _format) {\n",
			" window.open(figure.canvas.toDataURL());\n",
			" }\n",
			"\n",
			" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
			"\n",
			" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
			" // web socket which is closed, not our websocket->open comm proxy.\n",
			" ws_proxy.onopen();\n",
			"\n",
			" fig.parent_element = element;\n",
			" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
			" if (!fig.cell_info) {\n",
			" console.error('Failed to find cell for figure', id, fig);\n",
			" return;\n",
			" }\n",
			" fig.cell_info[0].output_area.element.on(\n",
			" 'cleared',\n",
			" { fig: fig },\n",
			" fig._remove_fig_handler\n",
			" );\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
			" var width = fig.canvas.width / fig.ratio;\n",
			" fig.cell_info[0].output_area.element.off(\n",
			" 'cleared',\n",
			" fig._remove_fig_handler\n",
			" );\n",
			" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
			"\n",
			" // Update the output cell to use the data from the current canvas.\n",
			" fig.push_to_output();\n",
			" var dataURL = fig.canvas.toDataURL();\n",
			" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
			" // the notebook keyboard shortcuts fail.\n",
			" IPython.keyboard_manager.enable();\n",
			" fig.parent_element.innerHTML =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			" fig.close_ws(fig, msg);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
			" fig.send_message('closing', msg);\n",
			" // fig.ws.close()\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
			" // Turn the data on the canvas into data in the output cell.\n",
			" var width = this.canvas.width / this.ratio;\n",
			" var dataURL = this.canvas.toDataURL();\n",
			" this.cell_info[1]['text/html'] =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Tell IPython that the notebook contents must change.\n",
			" IPython.notebook.set_dirty(true);\n",
			" this.send_message('ack', {});\n",
			" var fig = this;\n",
			" // Wait a second, then push the new image to the DOM so\n",
			" // that it is saved nicely (might be nice to debounce this).\n",
			" setTimeout(function () {\n",
			" fig.push_to_output();\n",
			" }, 1000);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'btn-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" var button;\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" button = fig.buttons[name] = document.createElement('button');\n",
			" button.classList = 'btn btn-default';\n",
			" button.href = '#';\n",
			" button.title = name;\n",
			" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" // Add the status bar.\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message pull-right';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"\n",
			" // Add the close button to the window.\n",
			" var buttongrp = document.createElement('div');\n",
			" buttongrp.classList = 'btn-group inline pull-right';\n",
			" button = document.createElement('button');\n",
			" button.classList = 'btn btn-mini btn-primary';\n",
			" button.href = '#';\n",
			" button.title = 'Stop Interaction';\n",
			" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
			" button.addEventListener('click', function (_evt) {\n",
			" fig.handle_close(fig, {});\n",
			" });\n",
			" button.addEventListener(\n",
			" 'mouseover',\n",
			" on_mouseover_closure('Stop Interaction')\n",
			" );\n",
			" buttongrp.appendChild(button);\n",
			" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
			" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
			" var fig = event.data.fig;\n",
			" if (event.target !== this) {\n",
			" // Ignore bubbled events from children.\n",
			" return;\n",
			" }\n",
			" fig.close_ws(fig, {});\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (el) {\n",
			" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
			" // this is important to make the div 'focusable\n",
			" el.setAttribute('tabindex', 0);\n",
			" // reach out to IPython and tell the keyboard manager to turn it's self\n",
			" // off when our div gets focus\n",
			"\n",
			" // location in version 3\n",
			" if (IPython.notebook.keyboard_manager) {\n",
			" IPython.notebook.keyboard_manager.register_events(el);\n",
			" } else {\n",
			" // location in version 2\n",
			" IPython.keyboard_manager.register_events(el);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
			" var manager = IPython.notebook.keyboard_manager;\n",
			" if (!manager) {\n",
			" manager = IPython.keyboard_manager;\n",
			" }\n",
			"\n",
			" // Check for shift+enter\n",
			" if (event.shiftKey && event.which === 13) {\n",
			" this.canvas_div.blur();\n",
			" // select the cell after this one\n",
			" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
			" IPython.notebook.select(index + 1);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" fig.ondownload(fig, null);\n",
			"};\n",
			"\n",
			"mpl.find_output_cell = function (html_output) {\n",
			" // Return the cell and output element which can be found uniquely in the notebook.\n",
			" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
			" // IPython event is triggered only after the cells have been serialised, which for\n",
			" // our purposes (turning an active figure into a static one), is too late.\n",
			" var cells = IPython.notebook.get_cells();\n",
			" var ncells = cells.length;\n",
			" for (var i = 0; i < ncells; i++) {\n",
			" var cell = cells[i];\n",
			" if (cell.cell_type === 'code') {\n",
			" for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
			" var data = cell.output_area.outputs[j];\n",
			" if (data.data) {\n",
			" // IPython >= 3 moved mimebundle to data attribute of output\n",
			" data = data.data;\n",
			" }\n",
			" if (data['text/html'] === html_output) {\n",
			" return [cell, data, j];\n",
			" }\n",
			" }\n",
			" }\n",
			" }\n",
			"};\n",
			"\n",
			"// Register the function which deals with the matplotlib target/channel.\n",
			"// The kernel may be null if the page has been refreshed.\n",
			"if (IPython.notebook.kernel !== null) {\n",
			" IPython.notebook.kernel.comm_manager.register_target(\n",
			" 'matplotlib',\n",
			" mpl.mpl_figure_comm\n",
			" );\n",
			"}\n"
			],
			"text/plain": [
			"<IPython.core.display.Javascript object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			},
			{
			"data": {
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\" width=\"600\">"
			],
			"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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
			" }\n",
			" fig.send_message('refresh', {});\n",
			" };\n",
			"\n",
			" this.imageObj.onload = function () {\n",
			" if (fig.image_mode === 'full') {\n",
			" // Full images could contain transparency (where diff images\n",
			" // almost always do), so we need to clear the canvas so that\n",
			" // there is no ghosting.\n",
			" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
			" }\n",
			" fig.context.drawImage(fig.imageObj, 0, 0);\n",
			" };\n",
			"\n",
			" this.imageObj.onunload = function () {\n",
			" fig.ws.close();\n",
			" };\n",
			"\n",
			" this.ws.onmessage = this._make_on_message_function(this);\n",
			"\n",
			" this.ondownload = ondownload;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_header = function () {\n",
			" var titlebar = document.createElement('div');\n",
			" titlebar.classList =\n",
			" 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
			" var titletext = document.createElement('div');\n",
			" titletext.classList = 'ui-dialog-title';\n",
			" titletext.setAttribute(\n",
			" 'style',\n",
			" 'width: 100%; text-align: center; padding: 3px;'\n",
			" );\n",
			" titlebar.appendChild(titletext);\n",
			" this.root.appendChild(titlebar);\n",
			" this.header = titletext;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
			"\n",
			"mpl.figure.prototype._init_canvas = function () {\n",
			" var fig = this;\n",
			"\n",
			" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
			" canvas_div.setAttribute(\n",
			" 'style',\n",
			" 'border: 1px solid #ddd;' +\n",
			" 'box-sizing: content-box;' +\n",
			" 'clear: both;' +\n",
			" 'min-height: 1px;' +\n",
			" 'min-width: 1px;' +\n",
			" 'outline: 0;' +\n",
			" 'overflow: hidden;' +\n",
			" 'position: relative;' +\n",
			" 'resize: both;'\n",
			" );\n",
			"\n",
			" function on_keyboard_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.key_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" canvas_div.addEventListener(\n",
			" 'keydown',\n",
			" on_keyboard_event_closure('key_press')\n",
			" );\n",
			" canvas_div.addEventListener(\n",
			" 'keyup',\n",
			" on_keyboard_event_closure('key_release')\n",
			" );\n",
			"\n",
			" this._canvas_extra_style(canvas_div);\n",
			" this.root.appendChild(canvas_div);\n",
			"\n",
			" var canvas = (this.canvas = document.createElement('canvas'));\n",
			" canvas.classList.add('mpl-canvas');\n",
			" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
			"\n",
			" this.context = canvas.getContext('2d');\n",
			"\n",
			" var backingStore =\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" this.context.webkitBackingStorePixelRatio \|\|\n",
			" this.context.mozBackingStorePixelRatio \|\|\n",
			" this.context.msBackingStorePixelRatio \|\|\n",
			" this.context.oBackingStorePixelRatio \|\|\n",
			" this.context.backingStorePixelRatio \|\|\n",
			" 1;\n",
			"\n",
			" this.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
			"\n",
			" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
			" 'canvas'\n",
			" ));\n",
			" rubberband_canvas.setAttribute(\n",
			" 'style',\n",
			" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
			" );\n",
			"\n",
			" // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
			" if (this.ResizeObserver === undefined) {\n",
			" if (window.ResizeObserver !== undefined) {\n",
			" this.ResizeObserver = window.ResizeObserver;\n",
			" } else {\n",
			" var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
			" this.ResizeObserver = obs.ResizeObserver;\n",
			" }\n",
			" }\n",
			"\n",
			" this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
			" var nentries = entries.length;\n",
			" for (var i = 0; i < nentries; i++) {\n",
			" var entry = entries[i];\n",
			" var width, height;\n",
			" if (entry.contentBoxSize) {\n",
			" if (entry.contentBoxSize instanceof Array) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" width = entry.contentBoxSize[0].inlineSize;\n",
			" height = entry.contentBoxSize[0].blockSize;\n",
			" } else {\n",
			" // Firefox implements old version of spec.\n",
			" width = entry.contentBoxSize.inlineSize;\n",
			" height = entry.contentBoxSize.blockSize;\n",
			" }\n",
			" } else {\n",
			" // Chrome <84 implements even older version of spec.\n",
			" width = entry.contentRect.width;\n",
			" height = entry.contentRect.height;\n",
			" }\n",
			"\n",
			" // Keep the size of the canvas and rubber band canvas in sync with\n",
			" // the canvas container.\n",
			" if (entry.devicePixelContentBoxSize) {\n",
			" // Chrome 84 implements new version of spec.\n",
			" canvas.setAttribute(\n",
			" 'width',\n",
			" entry.devicePixelContentBoxSize[0].inlineSize\n",
			" );\n",
			" canvas.setAttribute(\n",
			" 'height',\n",
			" entry.devicePixelContentBoxSize[0].blockSize\n",
			" );\n",
			" } else {\n",
			" canvas.setAttribute('width', width * fig.ratio);\n",
			" canvas.setAttribute('height', height * fig.ratio);\n",
			" }\n",
			" canvas.setAttribute(\n",
			" 'style',\n",
			" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
			" );\n",
			"\n",
			" rubberband_canvas.setAttribute('width', width);\n",
			" rubberband_canvas.setAttribute('height', height);\n",
			"\n",
			" // And update the size in Python. We ignore the initial 0/0 size\n",
			" // that occurs as the element is placed into the DOM, which should\n",
			" // otherwise not happen due to the minimum size styling.\n",
			" if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
			" fig.request_resize(width, height);\n",
			" }\n",
			" }\n",
			" });\n",
			" this.resizeObserverInstance.observe(canvas_div);\n",
			"\n",
			" function on_mouse_event_closure(name) {\n",
			" return function (event) {\n",
			" return fig.mouse_event(event, name);\n",
			" };\n",
			" }\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousedown',\n",
			" on_mouse_event_closure('button_press')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseup',\n",
			" on_mouse_event_closure('button_release')\n",
			" );\n",
			" // Throttle sequential mouse events to 1 every 20ms.\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mousemove',\n",
			" on_mouse_event_closure('motion_notify')\n",
			" );\n",
			"\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseenter',\n",
			" on_mouse_event_closure('figure_enter')\n",
			" );\n",
			" rubberband_canvas.addEventListener(\n",
			" 'mouseleave',\n",
			" on_mouse_event_closure('figure_leave')\n",
			" );\n",
			"\n",
			" canvas_div.addEventListener('wheel', function (event) {\n",
			" if (event.deltaY < 0) {\n",
			" event.step = 1;\n",
			" } else {\n",
			" event.step = -1;\n",
			" }\n",
			" on_mouse_event_closure('scroll')(event);\n",
			" });\n",
			"\n",
			" canvas_div.appendChild(canvas);\n",
			" canvas_div.appendChild(rubberband_canvas);\n",
			"\n",
			" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
			" this.rubberband_context.strokeStyle = '#000000';\n",
			"\n",
			" this._resize_canvas = function (width, height, forward) {\n",
			" if (forward) {\n",
			" canvas_div.style.width = width + 'px';\n",
			" canvas_div.style.height = height + 'px';\n",
			" }\n",
			" };\n",
			"\n",
			" // Disable right mouse context menu.\n",
			" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
			" event.preventDefault();\n",
			" return false;\n",
			" });\n",
			"\n",
			" function set_focus() {\n",
			" canvas.focus();\n",
			" canvas_div.focus();\n",
			" }\n",
			"\n",
			" window.setTimeout(set_focus, 100);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'mpl-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'mpl-button-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" var button = (fig.buttons[name] = document.createElement('button'));\n",
			" button.classList = 'mpl-widget';\n",
			" button.setAttribute('role', 'button');\n",
			" button.setAttribute('aria-disabled', 'false');\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			"\n",
			" var icon_img = document.createElement('img');\n",
			" icon_img.src = '_images/' + image + '.png';\n",
			" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
			" icon_img.alt = tooltip;\n",
			" button.appendChild(icon_img);\n",
			"\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" var fmt_picker = document.createElement('select');\n",
			" fmt_picker.classList = 'mpl-widget';\n",
			" toolbar.appendChild(fmt_picker);\n",
			" this.format_dropdown = fmt_picker;\n",
			"\n",
			" for (var ind in mpl.extensions) {\n",
			" var fmt = mpl.extensions[ind];\n",
			" var option = document.createElement('option');\n",
			" option.selected = fmt === mpl.default_extension;\n",
			" option.innerHTML = fmt;\n",
			" fmt_picker.appendChild(option);\n",
			" }\n",
			"\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
			" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
			" // which will in turn request a refresh of the image.\n",
			" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_message = function (type, properties) {\n",
			" properties['type'] = type;\n",
			" properties['figure_id'] = this.id;\n",
			" this.ws.send(JSON.stringify(properties));\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.send_draw_message = function () {\n",
			" if (!this.waiting) {\n",
			" this.waiting = true;\n",
			" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" var format_dropdown = fig.format_dropdown;\n",
			" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
			" fig.ondownload(fig, format);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
			" var size = msg['size'];\n",
			" if (size[0] !== fig.canvas.width \|\| size[1] !== fig.canvas.height) {\n",
			" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
			" fig.send_message('refresh', {});\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
			" var x0 = msg['x0'] / fig.ratio;\n",
			" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
			" var x1 = msg['x1'] / fig.ratio;\n",
			" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
			" x0 = Math.floor(x0) + 0.5;\n",
			" y0 = Math.floor(y0) + 0.5;\n",
			" x1 = Math.floor(x1) + 0.5;\n",
			" y1 = Math.floor(y1) + 0.5;\n",
			" var min_x = Math.min(x0, x1);\n",
			" var min_y = Math.min(y0, y1);\n",
			" var width = Math.abs(x1 - x0);\n",
			" var height = Math.abs(y1 - y0);\n",
			"\n",
			" fig.rubberband_context.clearRect(\n",
			" 0,\n",
			" 0,\n",
			" fig.canvas.width / fig.ratio,\n",
			" fig.canvas.height / fig.ratio\n",
			" );\n",
			"\n",
			" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
			" // Updates the figure title.\n",
			" fig.header.textContent = msg['label'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
			" var cursor = msg['cursor'];\n",
			" switch (cursor) {\n",
			" case 0:\n",
			" cursor = 'pointer';\n",
			" break;\n",
			" case 1:\n",
			" cursor = 'default';\n",
			" break;\n",
			" case 2:\n",
			" cursor = 'crosshair';\n",
			" break;\n",
			" case 3:\n",
			" cursor = 'move';\n",
			" break;\n",
			" }\n",
			" fig.rubberband_canvas.style.cursor = cursor;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_message = function (fig, msg) {\n",
			" fig.message.textContent = msg['message'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
			" // Request the server to send over a new figure.\n",
			" fig.send_draw_message();\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
			" fig.image_mode = msg['mode'];\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
			" for (var key in msg) {\n",
			" if (!(key in fig.buttons)) {\n",
			" continue;\n",
			" }\n",
			" fig.buttons[key].disabled = !msg[key];\n",
			" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
			" if (msg['mode'] === 'PAN') {\n",
			" fig.buttons['Pan'].classList.add('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" } else if (msg['mode'] === 'ZOOM') {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.add('active');\n",
			" } else {\n",
			" fig.buttons['Pan'].classList.remove('active');\n",
			" fig.buttons['Zoom'].classList.remove('active');\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Called whenever the canvas gets updated.\n",
			" this.send_message('ack', {});\n",
			"};\n",
			"\n",
			"// A function to construct a web socket function for onmessage handling.\n",
			"// Called in the figure constructor.\n",
			"mpl.figure.prototype._make_on_message_function = function (fig) {\n",
			" return function socket_on_message(evt) {\n",
			" if (evt.data instanceof Blob) {\n",
			" /* FIXME: We get \"Resource interpreted as Image but\n",
			" * transferred with MIME type text/plain:\" errors on\n",
			" * Chrome. But how to set the MIME type? It doesn't seem\n",
			" * to be part of the websocket stream */\n",
			" evt.data.type = 'image/png';\n",
			"\n",
			" /* Free the memory for the previous frames */\n",
			" if (fig.imageObj.src) {\n",
			" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
			" fig.imageObj.src\n",
			" );\n",
			" }\n",
			"\n",
			" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
			" evt.data\n",
			" );\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" } else if (\n",
			" typeof evt.data === 'string' &&\n",
			" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
			" ) {\n",
			" fig.imageObj.src = evt.data;\n",
			" fig.updated_canvas_event();\n",
			" fig.waiting = false;\n",
			" return;\n",
			" }\n",
			"\n",
			" var msg = JSON.parse(evt.data);\n",
			" var msg_type = msg['type'];\n",
			"\n",
			" // Call the \"handle_{type}\" callback, which takes\n",
			" // the figure and JSON message as its only arguments.\n",
			" try {\n",
			" var callback = fig['handle_' + msg_type];\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"No handler for the '\" + msg_type + \"' message type: \",\n",
			" msg\n",
			" );\n",
			" return;\n",
			" }\n",
			"\n",
			" if (callback) {\n",
			" try {\n",
			" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
			" callback(fig, msg);\n",
			" } catch (e) {\n",
			" console.log(\n",
			" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
			" e,\n",
			" e.stack,\n",
			" msg\n",
			" );\n",
			" }\n",
			" }\n",
			" };\n",
			"};\n",
			"\n",
			"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
			"mpl.findpos = function (e) {\n",
			" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
			" var targ;\n",
			" if (!e) {\n",
			" e = window.event;\n",
			" }\n",
			" if (e.target) {\n",
			" targ = e.target;\n",
			" } else if (e.srcElement) {\n",
			" targ = e.srcElement;\n",
			" }\n",
			" if (targ.nodeType === 3) {\n",
			" // defeat Safari bug\n",
			" targ = targ.parentNode;\n",
			" }\n",
			"\n",
			" // pageX,Y are the mouse positions relative to the document\n",
			" var boundingRect = targ.getBoundingClientRect();\n",
			" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
			" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
			"\n",
			" return { x: x, y: y };\n",
			"};\n",
			"\n",
			"/*\n",
			" * return a copy of an object with only non-object keys\n",
			" * we need this to avoid circular references\n",
			" * http://stackoverflow.com/a/24161582/3208463\n",
			" */\n",
			"function simpleKeys(original) {\n",
			" return Object.keys(original).reduce(function (obj, key) {\n",
			" if (typeof original[key] !== 'object') {\n",
			" obj[key] = original[key];\n",
			" }\n",
			" return obj;\n",
			" }, {});\n",
			"}\n",
			"\n",
			"mpl.figure.prototype.mouse_event = function (event, name) {\n",
			" var canvas_pos = mpl.findpos(event);\n",
			"\n",
			" if (name === 'button_press') {\n",
			" this.canvas.focus();\n",
			" this.canvas_div.focus();\n",
			" }\n",
			"\n",
			" var x = canvas_pos.x * this.ratio;\n",
			" var y = canvas_pos.y * this.ratio;\n",
			"\n",
			" this.send_message(name, {\n",
			" x: x,\n",
			" y: y,\n",
			" button: event.button,\n",
			" step: event.step,\n",
			" guiEvent: simpleKeys(event),\n",
			" });\n",
			"\n",
			" /* This prevents the web browser from automatically changing to\n",
			" * the text insertion cursor when the button is pressed. We want\n",
			" * to control all of the cursor setting manually through the\n",
			" * 'cursor' event from matplotlib */\n",
			" event.preventDefault();\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
			" // Handle any extra behaviour associated with a key event\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.key_event = function (event, name) {\n",
			" // Prevent repeat events\n",
			" if (name === 'key_press') {\n",
			" if (event.which === this._key) {\n",
			" return;\n",
			" } else {\n",
			" this._key = event.which;\n",
			" }\n",
			" }\n",
			" if (name === 'key_release') {\n",
			" this._key = null;\n",
			" }\n",
			"\n",
			" var value = '';\n",
			" if (event.ctrlKey && event.which !== 17) {\n",
			" value += 'ctrl+';\n",
			" }\n",
			" if (event.altKey && event.which !== 18) {\n",
			" value += 'alt+';\n",
			" }\n",
			" if (event.shiftKey && event.which !== 16) {\n",
			" value += 'shift+';\n",
			" }\n",
			"\n",
			" value += 'k';\n",
			" value += event.which.toString();\n",
			"\n",
			" this._key_event_extra(event, name);\n",
			"\n",
			" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
			" return false;\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
			" if (name === 'download') {\n",
			" this.handle_save(this, null);\n",
			" } else {\n",
			" this.send_message('toolbar_button', { name: name });\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
			" this.message.textContent = tooltip;\n",
			"};\n",
			"\n",
			"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
			"// prettier-ignore\n",
			"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)\|\|(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)\|\|(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)\|\|n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size\|\|(r.delete(i),o.delete(i))),n.size\|\|r.delete(i),o.size\|\|cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
			"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
			"\n",
			"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
			"\n",
			"mpl.default_extension = \"png\";/* global mpl */\n",
			"\n",
			"var comm_websocket_adapter = function (comm) {\n",
			" // Create a \"websocket\"-like object which calls the given IPython comm\n",
			" // object with the appropriate methods. Currently this is a non binary\n",
			" // socket, so there is still some room for performance tuning.\n",
			" var ws = {};\n",
			"\n",
			" ws.close = function () {\n",
			" comm.close();\n",
			" };\n",
			" ws.send = function (m) {\n",
			" //console.log('sending', m);\n",
			" comm.send(m);\n",
			" };\n",
			" // Register the callback with on_msg.\n",
			" comm.on_msg(function (msg) {\n",
			" //console.log('receiving', msg['content']['data'], msg);\n",
			" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
			" ws.onmessage(msg['content']['data']);\n",
			" });\n",
			" return ws;\n",
			"};\n",
			"\n",
			"mpl.mpl_figure_comm = function (comm, msg) {\n",
			" // This is the function which gets called when the mpl process\n",
			" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
			"\n",
			" var id = msg.content.data.id;\n",
			" // Get hold of the div created by the display call when the Comm\n",
			" // socket was opened in Python.\n",
			" var element = document.getElementById(id);\n",
			" var ws_proxy = comm_websocket_adapter(comm);\n",
			"\n",
			" function ondownload(figure, _format) {\n",
			" window.open(figure.canvas.toDataURL());\n",
			" }\n",
			"\n",
			" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
			"\n",
			" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
			" // web socket which is closed, not our websocket->open comm proxy.\n",
			" ws_proxy.onopen();\n",
			"\n",
			" fig.parent_element = element;\n",
			" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
			" if (!fig.cell_info) {\n",
			" console.error('Failed to find cell for figure', id, fig);\n",
			" return;\n",
			" }\n",
			" fig.cell_info[0].output_area.element.on(\n",
			" 'cleared',\n",
			" { fig: fig },\n",
			" fig._remove_fig_handler\n",
			" );\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
			" var width = fig.canvas.width / fig.ratio;\n",
			" fig.cell_info[0].output_area.element.off(\n",
			" 'cleared',\n",
			" fig._remove_fig_handler\n",
			" );\n",
			" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
			"\n",
			" // Update the output cell to use the data from the current canvas.\n",
			" fig.push_to_output();\n",
			" var dataURL = fig.canvas.toDataURL();\n",
			" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
			" // the notebook keyboard shortcuts fail.\n",
			" IPython.keyboard_manager.enable();\n",
			" fig.parent_element.innerHTML =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			" fig.close_ws(fig, msg);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
			" fig.send_message('closing', msg);\n",
			" // fig.ws.close()\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
			" // Turn the data on the canvas into data in the output cell.\n",
			" var width = this.canvas.width / this.ratio;\n",
			" var dataURL = this.canvas.toDataURL();\n",
			" this.cell_info[1]['text/html'] =\n",
			" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.updated_canvas_event = function () {\n",
			" // Tell IPython that the notebook contents must change.\n",
			" IPython.notebook.set_dirty(true);\n",
			" this.send_message('ack', {});\n",
			" var fig = this;\n",
			" // Wait a second, then push the new image to the DOM so\n",
			" // that it is saved nicely (might be nice to debounce this).\n",
			" setTimeout(function () {\n",
			" fig.push_to_output();\n",
			" }, 1000);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._init_toolbar = function () {\n",
			" var fig = this;\n",
			"\n",
			" var toolbar = document.createElement('div');\n",
			" toolbar.classList = 'btn-toolbar';\n",
			" this.root.appendChild(toolbar);\n",
			"\n",
			" function on_click_closure(name) {\n",
			" return function (_event) {\n",
			" return fig.toolbar_button_onclick(name);\n",
			" };\n",
			" }\n",
			"\n",
			" function on_mouseover_closure(tooltip) {\n",
			" return function (event) {\n",
			" if (!event.currentTarget.disabled) {\n",
			" return fig.toolbar_button_onmouseover(tooltip);\n",
			" }\n",
			" };\n",
			" }\n",
			"\n",
			" fig.buttons = {};\n",
			" var buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" var button;\n",
			" for (var toolbar_ind in mpl.toolbar_items) {\n",
			" var name = mpl.toolbar_items[toolbar_ind][0];\n",
			" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
			" var image = mpl.toolbar_items[toolbar_ind][2];\n",
			" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
			"\n",
			" if (!name) {\n",
			" /* Instead of a spacer, we start a new button group. */\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			" buttonGroup = document.createElement('div');\n",
			" buttonGroup.classList = 'btn-group';\n",
			" continue;\n",
			" }\n",
			"\n",
			" button = fig.buttons[name] = document.createElement('button');\n",
			" button.classList = 'btn btn-default';\n",
			" button.href = '#';\n",
			" button.title = name;\n",
			" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
			" button.addEventListener('click', on_click_closure(method_name));\n",
			" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
			" buttonGroup.appendChild(button);\n",
			" }\n",
			"\n",
			" if (buttonGroup.hasChildNodes()) {\n",
			" toolbar.appendChild(buttonGroup);\n",
			" }\n",
			"\n",
			" // Add the status bar.\n",
			" var status_bar = document.createElement('span');\n",
			" status_bar.classList = 'mpl-message pull-right';\n",
			" toolbar.appendChild(status_bar);\n",
			" this.message = status_bar;\n",
			"\n",
			" // Add the close button to the window.\n",
			" var buttongrp = document.createElement('div');\n",
			" buttongrp.classList = 'btn-group inline pull-right';\n",
			" button = document.createElement('button');\n",
			" button.classList = 'btn btn-mini btn-primary';\n",
			" button.href = '#';\n",
			" button.title = 'Stop Interaction';\n",
			" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
			" button.addEventListener('click', function (_evt) {\n",
			" fig.handle_close(fig, {});\n",
			" });\n",
			" button.addEventListener(\n",
			" 'mouseover',\n",
			" on_mouseover_closure('Stop Interaction')\n",
			" );\n",
			" buttongrp.appendChild(button);\n",
			" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
			" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
			" var fig = event.data.fig;\n",
			" if (event.target !== this) {\n",
			" // Ignore bubbled events from children.\n",
			" return;\n",
			" }\n",
			" fig.close_ws(fig, {});\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._root_extra_style = function (el) {\n",
			" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
			" // this is important to make the div 'focusable\n",
			" el.setAttribute('tabindex', 0);\n",
			" // reach out to IPython and tell the keyboard manager to turn it's self\n",
			" // off when our div gets focus\n",
			"\n",
			" // location in version 3\n",
			" if (IPython.notebook.keyboard_manager) {\n",
			" IPython.notebook.keyboard_manager.register_events(el);\n",
			" } else {\n",
			" // location in version 2\n",
			" IPython.keyboard_manager.register_events(el);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
			" var manager = IPython.notebook.keyboard_manager;\n",
			" if (!manager) {\n",
			" manager = IPython.keyboard_manager;\n",
			" }\n",
			"\n",
			" // Check for shift+enter\n",
			" if (event.shiftKey && event.which === 13) {\n",
			" this.canvas_div.blur();\n",
			" // select the cell after this one\n",
			" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
			" IPython.notebook.select(index + 1);\n",
			" }\n",
			"};\n",
			"\n",
			"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
			" fig.ondownload(fig, null);\n",
			"};\n",
			"\n",
			"mpl.find_output_cell = function (html_output) {\n",
			" // Return the cell and output element which can be found uniquely in the notebook.\n",
			" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
			" // IPython event is triggered only after the cells have been serialised, which for\n",
			" // our purposes (turning an active figure into a static one), is too late.\n",
			" var cells = IPython.notebook.get_cells();\n",
			" var ncells = cells.length;\n",
			" for (var i = 0; i < ncells; i++) {\n",
			" var cell = cells[i];\n",
			" if (cell.cell_type === 'code') {\n",
			" for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
			" var data = cell.output_area.outputs[j];\n",
			" if (data.data) {\n",
			" // IPython >= 3 moved mimebundle to data attribute of output\n",
			" data = data.data;\n",
			" }\n",
			" if (data['text/html'] === html_output) {\n",
			" return [cell, data, j];\n",
			" }\n",
			" }\n",
			" }\n",
			" }\n",
			"};\n",
			"\n",
			"// Register the function which deals with the matplotlib target/channel.\n",
			"// The kernel may be null if the page has been refreshed.\n",
			"if (IPython.notebook.kernel !== null) {\n",
			" IPython.notebook.kernel.comm_manager.register_target(\n",
			" 'matplotlib',\n",
			" mpl.mpl_figure_comm\n",
			" );\n",
			"}\n"
			],
			"text/plain": [
			"<IPython.core.display.Javascript object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			},
			{
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\" width=\"600\">"
			],
			"text/plain": [
			"<IPython.core.display.HTML object>"
			]
			},
			"metadata": {},
			"output_type": "display_data"
			}
			],
			"source": [
			"for col in relevant_typologies:\n",
			" plot_data_2.plot(column = col, legend = True, figsize = (6,3.5), vmax = 25)\n",
			" plt.title(col)\n",
			" plt.tight_layout()"
			]
			},
			{
			"cell_type": "code",
			"execution_count": 39,
			"id": "eastern-expense",
			"metadata": {},
			"outputs": [
			{
			"data": {
			"text/html": [
			"<div>\n",
			"<style scoped>\n",
			" .dataframe tbody tr th:only-of-type {\n",
			" vertical-align: middle;\n",
			" }\n",
			"\n",
			" .dataframe tbody tr th {\n",
			" vertical-align: top;\n",
			" }\n",
			"\n",
			" .dataframe thead th {\n",
			" text-align: right;\n",
			" }\n",
			"</style>\n",
			"<table border=\"1\" class=\"dataframe\">\n",
			" <thead>\n",
			" <tr style=\"text-align: right;\">\n",
			" <th></th>\n",
			" <th>BFS_NUMMER</th>\n",
			" <th>geometry</th>\n",
			" <th>GEM_FLAECH</th>\n",
			" <th>KANTONSNUM</th>\n",
			" <th>ICC</th>\n",
			" <th>EINWOHNERZ</th>\n",
			" <th>prod_area_km2</th>\n",
			" <th>Agricultural areas</th>\n",
			" <th>Industrial or commercial areas</th>\n",
			" <th>Urban fabric</th>\n",
			" </tr>\n",
			" </thead>\n",
			" <tbody>\n",
			" <tr>\n",
			" <th>0</th>\n",
			" <td>1</td>\n",
			" <td>POLYGON Z ((2680492.059 1235035.207 652.815, 2...</td>\n",
			" <td>791.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>1981.0</td>\n",
			" <td>7.912338</td>\n",
			" <td>55.420195</td>\n",
			" <td>0.000000</td>\n",
			" <td>7.875068</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>1</th>\n",
			" <td>2</td>\n",
			" <td>POLYGON Z ((2674713.988 1236941.733 511.224, 2...</td>\n",
			" <td>1059.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>11708.0</td>\n",
			" <td>10.593038</td>\n",
			" <td>44.556687</td>\n",
			" <td>5.030005</td>\n",
			" <td>23.295924</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>2</th>\n",
			" <td>3</td>\n",
			" <td>POLYGON Z ((2679007.686 1241960.090 628.654, 2...</td>\n",
			" <td>743.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>5326.0</td>\n",
			" <td>7.430708</td>\n",
			" <td>57.628483</td>\n",
			" <td>0.000000</td>\n",
			" <td>14.068379</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>3</th>\n",
			" <td>4</td>\n",
			" <td>POLYGON Z ((2686028.446 1230192.476 545.756, 2...</td>\n",
			" <td>1360.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>3477.0</td>\n",
			" <td>13.602527</td>\n",
			" <td>60.609356</td>\n",
			" <td>0.000000</td>\n",
			" <td>9.729180</td>\n",
			" </tr>\n",
			" <tr>\n",
			" <th>4</th>\n",
			" <td>5</td>\n",
			" <td>POLYGON Z ((2678522.755 1238539.671 743.712, 2...</td>\n",
			" <td>653.0</td>\n",
			" <td>1.0</td>\n",
			" <td>CH</td>\n",
			" <td>3660.0</td>\n",
			" <td>6.529258</td>\n",
			" <td>51.567664</td>\n",
			" <td>0.000000</td>\n",
			" <td>16.315858</td>\n",
			" </tr>\n",
			" </tbody>\n",
			"</table>\n",
			"</div>"
			],
			"text/plain": [
			" BFS_NUMMER geometry GEM_FLAECH \\\n",
			"0 1 POLYGON Z ((2680492.059 1235035.207 652.815, 2... 791.0 \n",
			"1 2 POLYGON Z ((2674713.988 1236941.733 511.224, 2... 1059.0 \n",
			"2 3 POLYGON Z ((2679007.686 1241960.090 628.654, 2... 743.0 \n",
			"3 4 POLYGON Z ((2686028.446 1230192.476 545.756, 2... 1360.0 \n",
			"4 5 POLYGON Z ((2678522.755 1238539.671 743.712, 2... 653.0 \n",
			"\n",
			" KANTONSNUM ICC EINWOHNERZ prod_area_km2 Agricultural areas \\\n",
			"0 1.0 CH 1981.0 7.912338 55.420195 \n",
			"1 1.0 CH 11708.0 10.593038 44.556687 \n",
			"2 1.0 CH 5326.0 7.430708 57.628483 \n",
			"3 1.0 CH 3477.0 13.602527 60.609356 \n",
			"4 1.0 CH 3660.0 6.529258 51.567664 \n",
			"\n",
			" Industrial or commercial areas Urban fabric \n",
			"0 0.000000 7.875068 \n",
			"1 5.030005 23.295924 \n",
			"2 0.000000 14.068379 \n",
			"3 0.000000 9.729180 \n",
			"4 0.000000 16.315858 "
			]
			},
			"execution_count": 39,
			"metadata": {},
			"output_type": "execute_result"
			}
			],
			"source": [
			"plot_data_2.head()"
			]
			},
			{
			"cell_type": "markdown",
			"id": "impossible-brooklyn",
			"metadata": {},
			"source": [
			"# Could do: Join CATEGORY to buildings"
			]
			},
			{
			"cell_type": "code",
			"execution_count": null,
			"id": "economic-vulnerability",
			"metadata": {},
			"outputs": [],
			"source": []
			},
			{
			"cell_type": "code",
			"execution_count": null,
			"id": "assisted-advice",
			"metadata": {},
			"outputs": [],
			"source": []
			},
			{
			"cell_type": "code",
			"execution_count": null,
			"id": "understanding-milton",
			"metadata": {},
			"outputs": [],
			"source": []
			}
			],
			"metadata": {
			"kernelspec": {
			"display_name": "Python 3",
			"language": "python",
			"name": "python3"
			},
			"language_info": {
			"codemirror_mode": {
			"name": "ipython",
			"version": 3
			},
			"file_extension": ".py",
			"mimetype": "text/x-python",
			"name": "python",
			"nbconvert_exporter": "python",
			"pygments_lexer": "ipython3",
			"version": "3.7.7"
			}
			},
			"nbformat": 4,
			"nbformat_minor": 5
			}

hybridPOT/PV_scenarios_2050/commune_urban_typology.ipynb5ac996aa578cmaster

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hybridPOT/PV_scenarios_2050/commune_urban_typology.ipynb
5ac996aa578cmaster

commune_urban_typology.ipynb
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