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ZGainsforth/Element Map Scatter Plots.ipynb

Created October 7, 2022 07:46
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Make joint maps and pair plots from elemental maps using seaborn.
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Element Map Scatter Plots.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "8df4b676",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:hyperspy_gui_traitsui:The nbAgg matplotlib backend is not compatible with the traitsui GUI elements. For more information, read http://hyperspy.readthedocs.io/en/stable/user_guide/getting_started.html#possible-warnings-when-importing-hyperspy.\n",
"WARNING:hyperspy_gui_traitsui:The traitsui GUI elements are not available.\n"
]
},
{
"data": {
"text/html": [
"<style>.container { width:100% !important; }</style>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%pylab notebook\n",
"import hyperspy.api as hs\n",
"import matplotlib.pylab as pylab\n",
"pylab.rcParams['figure.figsize'] = 8, 6 # that's default image size for this interactive session\n",
"from IPython.core.display import display, HTML\n",
"display(HTML(\"<style>.container { width:100% !important; }</style>\"))\n",
"import os\n",
"import seaborn as sns\n",
"import pandas as pd\n",
"import glob2 as glob"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "5e55fa98",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Here are all the element maps available for scattering:\n",
"\tFe_Ka-Ni_Ka-S_Ka.tif\n",
"\tSi_Ka.tif\n",
"\tFe_Ka.tif\n",
"\tNa_Ka-C_Ka-Cl_Ka.tif\n",
"\tCl_Ka.tif\n",
"\tGa_La.tif\n",
"\tAl_Ka-Mg_Ka-O_Ka.tif\n",
"\tO_Ka.tif\n",
"\tC_Ka.tif\n",
"\tNi_Ka.tif\n",
"\tC_Ka-N_Ka-O_Ka.tif\n",
"\tC_Ka-Na_Ka-O_Ka.tif\n",
"\tFe_Ka-Mg_Ka-O_Ka.tif\n",
"\tGa_Ka.tif\n",
"\tHAADF.tif\n",
"\tNa_Ka-C_Ka-O_Ka.tif\n",
"\tMg_Ka.tif\n",
"\tS_Ka.tif\n",
"\tAl_Ka-O_Ka-Si_Ka.tif\n",
"\tNi_La.tif\n",
"\tNa_Ka.tif\n",
"\tFe_La.tif\n",
"\tAl_Ka.tif\n",
"\tCa_Ka.tif\n",
"\tCu_Ka.tif\n",
"\tMn_Ka.tif\n",
"\tN_Ka.tif\n",
"\tMn_La.tif\n",
"\tPt_La.tif\n",
"\tCu_La.tif\n",
"\tPt_Ma.tif\n",
"\tCa_La.tif\n",
"\tFe_Ka-Si_Ka-S_Ka.tif\n",
"\tP_Ka.tif\n"
]
}
],
"source": [
"print('Here are all the element maps available for scattering:')\n",
"for f in glob.glob('*.tif'):\n",
" print('\\t'+f)"
]
},
{
"cell_type": "markdown",
"id": "0e807aaf",
"metadata": {},
"source": [
"# Choose the input images"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "4c5fdd52",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total number of images is 16.\n"
]
}
],
"source": [
"ImageExtension = '.tif'\n",
"ImageNames = ['C_Ka', \n",
" #'N_Ka', \n",
" 'O_Ka', \n",
" 'Na_Ka', \n",
" 'Mg_Ka', \n",
" 'Al_Ka', \n",
" 'Si_Ka', \n",
" 'P_Ka', \n",
" 'S_Ka',\n",
" 'Cl_Ka',\n",
" #'K_Ka', 'K_Kb',\n",
" 'Ca_Ka', #'Ca_Kb',\n",
" #'Ti_Ka', 'Ti_Kb',\n",
" #'V_Ka', 'V_Kb',\n",
" #'Mn_Ka', 'Mn_Kb',\n",
" 'Fe_La', 'Fe_Ka', #'Fe_Kb', \n",
" 'Ni_La', 'Ni_Ka', #'Ni_Kb',\n",
" #'Zn_Ka', 'Zn_Kb',\n",
" #'Cu_La', 'Cu_Ka', 'Cu_Kb',\n",
" 'Ga_La', #'Ga_Lb1', 'Ga_Lb3', 'Ga_Ka', 'Ga_Kb',\n",
" 'Pt_Ma',\n",
" ]\n",
"print(f'Total number of images is {len(ImageNames)}.')\n",
" \n",
"#BinningFactor = 16\n",
"ImageDict = {}\n",
"for i in ImageNames:\n",
" ImageDict[i] = plt.imread(i+ImageExtension)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "50446074",
"metadata": {},
"outputs": [
{
"data": {
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"\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>C_Ka</th>\n",
" <th>O_Ka</th>\n",
" <th>Na_Ka</th>\n",
" <th>Mg_Ka</th>\n",
" <th>Al_Ka</th>\n",
" <th>Si_Ka</th>\n",
" <th>P_Ka</th>\n",
" <th>S_Ka</th>\n",
" <th>Cl_Ka</th>\n",
" <th>Ca_Ka</th>\n",
" <th>Fe_La</th>\n",
" <th>Fe_Ka</th>\n",
" <th>Ni_La</th>\n",
" <th>Ni_Ka</th>\n",
" <th>Ga_La</th>\n",
" <th>Pt_Ma</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
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" <th>4</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1019</th>\n",
" <td>21</td>\n",
" <td>447</td>\n",
" <td>27</td>\n",
" <td>240</td>\n",
" <td>15</td>\n",
" <td>354</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>9</td>\n",
" <td>10</td>\n",
" <td>62</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>14</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1020</th>\n",
" <td>16</td>\n",
" <td>394</td>\n",
" <td>13</td>\n",
" <td>247</td>\n",
" <td>30</td>\n",
" <td>306</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>53</td>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>28</td>\n",
" <td>25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1021</th>\n",
" <td>16</td>\n",
" <td>376</td>\n",
" <td>20</td>\n",
" <td>283</td>\n",
" <td>30</td>\n",
" <td>266</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>0</td>\n",
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" <td>188</td>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1022</th>\n",
" <td>21</td>\n",
" <td>276</td>\n",
" <td>13</td>\n",
" <td>312</td>\n",
" <td>15</td>\n",
" <td>411</td>\n",
" <td>33</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>43</td>\n",
" <td>94</td>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>42</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1023</th>\n",
" <td>26</td>\n",
" <td>400</td>\n",
" <td>13</td>\n",
" <td>196</td>\n",
" <td>7</td>\n",
" <td>233</td>\n",
" <td>16</td>\n",
" <td>8</td>\n",
" <td>9</td>\n",
" <td>10</td>\n",
" <td>37</td>\n",
" <td>53</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>21</td>\n",
" <td>17</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1024 rows × 16 columns</p>\n",
"</div>"
],
"text/plain": [
" C_Ka O_Ka Na_Ka Mg_Ka Al_Ka Si_Ka P_Ka S_Ka Cl_Ka Ca_Ka Fe_La \\\n",
"0 0 0 0 0 0 2 2 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... ... ... ... \n",
"1019 21 447 27 240 15 354 0 0 9 10 62 \n",
"1020 16 394 13 247 30 306 16 0 0 0 37 \n",
"1021 16 376 20 283 30 266 8 8 0 0 25 \n",
"1022 21 276 13 312 15 411 33 0 0 0 43 \n",
"1023 26 400 13 196 7 233 16 8 9 10 37 \n",
"\n",
" Fe_Ka Ni_La Ni_Ka Ga_La Pt_Ma \n",
"0 0 0 0 0 0 \n",
"1 0 0 0 7 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 8 \n",
"... ... ... ... ... ... \n",
"1019 134 0 0 14 17 \n",
"1020 53 13 0 28 25 \n",
"1021 188 13 0 0 17 \n",
"1022 94 13 0 0 42 \n",
"1023 53 0 0 21 17 \n",
"\n",
"[1024 rows x 16 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.DataFrame(data=[pd.Series(data=np.ravel(image), name = name) for name,image in ImageDict.items()])\n",
"df = df.T\n",
"df"
]
},
{
"cell_type": "markdown",
"id": "646c5127",
"metadata": {},
"source": [
"# Add specific joint plots which are typically interesting here."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "be0bd348",
"metadata": {},
"outputs": [
{
"data": {
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" } 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",
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" }\n",
"};\n",
"\n",
"mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
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" 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",
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"\n",
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"\n",
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" entry.devicePixelContentBoxSize[0].blockSize\n",
" );\n",
" } else {\n",
" canvas.setAttribute('width', width * fig.ratio);\n",
" canvas.setAttribute('height', height * fig.ratio);\n",
" }\n",
" canvas.setAttribute(\n",
" 'style',\n",
" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
" );\n",
"\n",
" rubberband_canvas.setAttribute('width', width);\n",
" rubberband_canvas.setAttribute('height', height);\n",
"\n",
" // And update the size in Python. We ignore the initial 0/0 size\n",
" // that occurs as the element is placed into the DOM, which should\n",
" // otherwise not happen due to the minimum size styling.\n",
" if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
" fig.request_resize(width, height);\n",
" }\n",
" }\n",
" });\n",
" this.resizeObserverInstance.observe(canvas_div);\n",
"\n",
" function on_mouse_event_closure(name) {\n",
" return function (event) {\n",
" return fig.mouse_event(event, name);\n",
" };\n",
" }\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mousedown',\n",
" on_mouse_event_closure('button_press')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseup',\n",
" on_mouse_event_closure('button_release')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'dblclick',\n",
" on_mouse_event_closure('dblclick')\n",
" );\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband_canvas.addEventListener(\n",
" 'mousemove',\n",
" on_mouse_event_closure('motion_notify')\n",
" );\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseenter',\n",
" on_mouse_event_closure('figure_enter')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseleave',\n",
" on_mouse_event_closure('figure_leave')\n",
" );\n",
"\n",
" canvas_div.addEventListener('wheel', function (event) {\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" on_mouse_event_closure('scroll')(event);\n",
" });\n",
"\n",
" canvas_div.appendChild(canvas);\n",
" canvas_div.appendChild(rubberband_canvas);\n",
"\n",
" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
" this.rubberband_context.strokeStyle = '#000000';\n",
"\n",
" this._resize_canvas = function (width, height, forward) {\n",
" if (forward) {\n",
" canvas_div.style.width = width + 'px';\n",
" canvas_div.style.height = height + 'px';\n",
" }\n",
" };\n",
"\n",
" // Disable right mouse context menu.\n",
" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
" event.preventDefault();\n",
" return false;\n",
" });\n",
"\n",
" function set_focus() {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'mpl-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" continue;\n",
" }\n",
"\n",
" var button = (fig.buttons[name] = document.createElement('button'));\n",
" button.classList = 'mpl-widget';\n",
" button.setAttribute('role', 'button');\n",
" button.setAttribute('aria-disabled', 'false');\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
"\n",
" var icon_img = document.createElement('img');\n",
" icon_img.src = '_images/' + image + '.png';\n",
" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
" icon_img.alt = tooltip;\n",
" button.appendChild(icon_img);\n",
"\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" var fmt_picker = document.createElement('select');\n",
" fmt_picker.classList = 'mpl-widget';\n",
" toolbar.appendChild(fmt_picker);\n",
" this.format_dropdown = fmt_picker;\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = document.createElement('option');\n",
" option.selected = fmt === mpl.default_extension;\n",
" option.innerHTML = fmt;\n",
" fmt_picker.appendChild(option);\n",
" }\n",
"\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"};\n",
"\n",
"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
"};\n",
"\n",
"mpl.figure.prototype.send_message = function (type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"};\n",
"\n",
"mpl.figure.prototype.send_draw_message = function () {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
" fig.send_message('refresh', {});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
" var x0 = msg['x0'] / fig.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
" var x1 = msg['x1'] / fig.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0,\n",
" 0,\n",
" fig.canvas.width / fig.ratio,\n",
" fig.canvas.height / fig.ratio\n",
" );\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
" 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",
" var img = evt.data;\n",
" if (img.type !== 'image/png') {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" img.type = 'image/png';\n",
" }\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src\n",
" );\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" img\n",
" );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" } else if (\n",
" typeof evt.data === 'string' &&\n",
" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
" ) {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig['handle_' + msg_type];\n",
" } catch (e) {\n",
" console.log(\n",
" \"No handler for the '\" + msg_type + \"' message type: \",\n",
" msg\n",
" );\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\n",
" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
" e,\n",
" e.stack,\n",
" msg\n",
" );\n",
" }\n",
" }\n",
" };\n",
"};\n",
"\n",
"// from 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.key === this._key) {\n",
" return;\n",
" } else {\n",
" this._key = event.key;\n",
" }\n",
" }\n",
" if (name === 'key_release') {\n",
" this._key = null;\n",
" }\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.key !== 'Control') {\n",
" value += 'ctrl+';\n",
" }\n",
" else if (event.altKey && event.key !== 'Alt') {\n",
" value += 'alt+';\n",
" }\n",
" else if (event.shiftKey && event.key !== 'Shift') {\n",
" value += 'shift+';\n",
" }\n",
"\n",
" value += 'k' + event.key;\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
" return false;\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
" if (name === 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message('toolbar_button', { name: name });\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"\n",
"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
"// prettier-ignore\n",
"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";/* global mpl */\n",
"\n",
"var comm_websocket_adapter = function (comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.binaryType = comm.kernel.ws.binaryType;\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" function updateReadyState(_event) {\n",
" if (comm.kernel.ws) {\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" } else {\n",
" ws.readyState = 3; // Closed state.\n",
" }\n",
" }\n",
" comm.kernel.ws.addEventListener('open', updateReadyState);\n",
" comm.kernel.ws.addEventListener('close', updateReadyState);\n",
" comm.kernel.ws.addEventListener('error', updateReadyState);\n",
"\n",
" ws.close = function () {\n",
" comm.close();\n",
" };\n",
" ws.send = function (m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function (msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" var data = msg['content']['data'];\n",
" if (data['blob'] !== undefined) {\n",
" data = {\n",
" data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
" };\n",
" }\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(data);\n",
" });\n",
" return ws;\n",
"};\n",
"\n",
"mpl.mpl_figure_comm = function (comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = document.getElementById(id);\n",
" var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
" function ondownload(figure, _format) {\n",
" window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element;\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error('Failed to find cell for figure', id, fig);\n",
" return;\n",
" }\n",
" fig.cell_info[0].output_area.element.on(\n",
" 'cleared',\n",
" { fig: fig },\n",
" fig._remove_fig_handler\n",
" );\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
" var width = fig.canvas.width / fig.ratio;\n",
" fig.cell_info[0].output_area.element.off(\n",
" 'cleared',\n",
" fig._remove_fig_handler\n",
" );\n",
" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable();\n",
" fig.parent_element.innerHTML =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
" fig.close_ws(fig, msg);\n",
"};\n",
"\n",
"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"};\n",
"\n",
"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"};\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function () {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message('ack', {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () {\n",
" fig.push_to_output();\n",
" }, 1000);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'btn-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" var button;\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" continue;\n",
" }\n",
"\n",
" button = fig.buttons[name] = document.createElement('button');\n",
" button.classList = 'btn btn-default';\n",
" button.href = '#';\n",
" button.title = name;\n",
" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message pull-right';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = document.createElement('div');\n",
" buttongrp.classList = 'btn-group inline pull-right';\n",
" button = document.createElement('button');\n",
" button.classList = 'btn btn-mini btn-primary';\n",
" button.href = '#';\n",
" button.title = 'Stop Interaction';\n",
" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
" button.addEventListener('click', function (_evt) {\n",
" fig.handle_close(fig, {});\n",
" });\n",
" button.addEventListener(\n",
" 'mouseover',\n",
" on_mouseover_closure('Stop Interaction')\n",
" );\n",
" buttongrp.appendChild(button);\n",
" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
"};\n",
"\n",
"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
" var fig = event.data.fig;\n",
" if (event.target !== this) {\n",
" // Ignore bubbled events from children.\n",
" return;\n",
" }\n",
" fig.close_ws(fig, {});\n",
"};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (el) {\n",
" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
" el.setAttribute('tabindex', 0);\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
" 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": [
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]
},
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},
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SaQUuHTVQX22Qv73bnk2vvu3Z5pV+Y49x8Qlp+4X/fv0bnZOAQECBAgQIECAAAECBCpJQAKrkqKpLwS6SWDxynXxTz+6J15YuLLgCW/fY0z88H37R59sgXFb9wpcdf9L8R9/eKLZovlTdhgeP83eUDhsQJ/ubYDaCRAgQIAAAQIECBAgUEQBCawi4ns0gXIQWL1uQ5x22X3xyKwlBc09ZMcR8fOzDjT6p0Clew/+/MT8+PSvH411GwrXH9tt7JD4xQenxOih/bu3AWonQIAAAQIECBAgQIBAkQQMmygSvMcSKAeBtAbTp3/zSLPkVUqY/OQDB0he9XAQ37nXuLgyS1QN6Vdb8OQZLy/Ppnc2HyFXcJEDAgQIECBAgAABAgQIlLGABFYZB0/TCXS3wFf+9I/465OvFDxm/LD+ccVZU2Jof1PWCmB66OCQSSPimnMOiVFD+hU8cc5rq+PdWRLr8TlLC8odECBAgAABAgQIECBAoBIEJLAqIYr6QKAbBH5574tx5b2Fb78b2r82rshGAI3Nkli24gnsMX5o/P6jh8b2IwYWNGJRtlbZqZfeG9NmLiwod0CAAAECBAgQIECAAIFyF5DAKvcIaj+BbhBICZAL/vRkQc19s4XaL80WC99lzJCCcgfFEdg2S1797mOHxl4ThhY0YGW2ZtlZVzwQf3psXkG5AwIECBAgQIAAAQIECJSzgARWOUdP2wl0g8DzC1bEx696KNL6V/nbt9+zdxycLdxuKx2BkYP7xa8/fHBM3akwLus3bFq77Iq7XyidxmoJAQIECBAgQIAAAQIEOiEggdUJPLcSqDSBpavWx4eufDCWrakr6Nqn3rZTnLDvhIIyB6UhMCRbi+xnZx4Yx+49rqBB9Vn+MY2i+/ZfZkR9OrARIECAAAECBAgQIECgjAUksMo4eJpOoCsF0oirT/764Xh+4cqCao/ea2ycd+QuBWUOSkugX23v+P6p+8UZh2zXrGE/uO25+MxvH4u1dRuanVNAgAABAgQIECBAgACBchGQwCqXSGkngW4WuOh/n467miz+vWe2WPh/nbJP9OpV081PV31nBVKMLjh+z/jcUc2Tjdc9MjdOv+yBeC1b5N1GgAABAgQIECBAgACBchSoyaaWmFtSjpHTZgJdKPDnJ16Oj/7qoYIaRw3pF3/85NQYN2xAQbmD0hf4zQOz4gvXPR5NljGLHUYOip9n0w23z75tBAgQIECAAAECBAgQKCcBI7DKKVraSqAbBJ59dUV87n8eK6i5T++a+PH795e8KlApn4NTp2wbl50xOQb27V3Q6Bey6aEn/fDu+PuLiwvKHRAgQIAAAQIECBAgQKDUBSSwSj1C2kegGwVWrK3LjbxK3/nbfxy3Rxyw3fD8IvtlJvC23cbE/3z0kBgztF9By1/LFup/30/vj+sfnVtQ7oAAAQIECBAgQIAAAQKlLCCBVcrR0TYC3SiQZg//6++nRxqBlb+dvN+EOP3g5ouB519jvzwE9hw/LP7wiamxx7ihBQ1et2Fj/MtvHo3v3TLTGwoLZBwQIECAAAECBAgQIFCqAhJYpRoZ7SLQzQK/un9W3Dh9fsFTds8SHV8/6U1RU2PR9gKYMj5Ia5j9NhuJ9bbdRjfrxXf++kx8Nps+6g2FzWgUECBAgAABAgQIECBQYgIWcS+xgGgOgZ4QeHLesjgxWwtpXd3GxscN7V8bf/rUYbHdCAt8N6JU0E5dNurqqzc8GVfe+1KzXu2/7Vbx49MPiNFD+jc7p4AAAQIECBAgQIAAAQKlIGAEVilEQRsI9KDAymy9q0/++uGC5FV6/HdO2Vfyqgfj0NOPqu3dK758wl7xpXftkY2wK3z6w7OWxPHfvzsem72k8IQjAgQIECBAgAABAgQIlIiABFaJBEIzCPSUwBev/0c8v2BlweM+OHWHOHKPMQVlDipT4Kws1peePjkG9Cl8Q+HLy9bEe35yb/z+oTmV2XG9IkCAAAECBAgQIECgrAVMISzr8Gk8gfYJXPvwnPjMbx8ruOlNE4bF7z52SPSrLUxoFFzkoOIE0jTSD//iwZi7ZHWzvp156PbxhWN2j761/sbRDEcBAQIECBAgQIAAAQJFEZDAKgq7hxLoeYGXFq2Moy+5K1at29D48MH9auPGT1v3qhGkynYWrVgbn7j64bjv+cXNer5fti7WD9+3f6RF4G0ECBAgQIAAAQIECBAotoA/rxc7Ap5PoAcE0gLe517zaEHyKj32wpPfZN2rHvAv1UeMGNwvfnn2QZFGXDXdHsnWxTr2e9Pi7mcXNj3lmAABAgQIECBAgAABAj0uIIHV4+QeSKDnBX54+3OREhL52z9PnhjH7zM+v8h+FQr0yRZ3v+D4PeNb7947m0Za+H8Ji1eui9Mvvz8u/tszsWFjfRXq6DIBAgQIECBAgAABAqUiYAphqURCOwh0k0B6s9zJP7qnIAGx/YiB2dTBN8egbAqhjUCDwBNzl8bHr3o4Zi1e1VDU+D1lh+Fxyan7mlLYKGKHAAECBAgQIECAAIGeFCj8c3tPPtmzCBDodoHV2XpX52VTB/NHz/TuVRPf/ed9Ja+6Xb/8HrBXtqD/nz55WBy5++hmjX/ghcW5NdT++uQrzc4pIECAAAECBAgQIECAQHcLSGB1t7D6CRRR4MKbnornF64saMEn3rpT7Lft1gVlDgg0CAwb2CcuPX1yfP6du0ZKduZvS1atz7258N+uezxbT60u/5R9AgQIECBAgAABAgQIdKuAKYTdyqtyAsUTuGvmgmz9ogcKGrDPNsPidx87NNK6RzYCmxN46KXF8elfPxpzl6xudul22TTU75yyTxyw3fBm5xQQIECAAAECBAgQIECgqwUksLpaVH0ESkBg+Zr18Y7v3hnzlq5pbM2APr2zda8Oix1HDW4ss0NgcwJLV6+P/3ft9Ljp8ZebXZoGaH3k8Elx3tt3zhaA793svAICBAgQIECAAAECBAh0lYBhGF0lqR4CJSRw4U0zCpJXqWlfOGY3yasSilG5NGXYgD7xg9P2jwtPelOkJGj+ll5M+OM7novjvjct0mgtGwECBAgQIECAAAECBLpLwAis7pJVL4EiCUybuTDef/n9BU8/dNKI+NXZB0WvJmsaFVzkgMBmBF7M1lP7zG8fjYdnLWl2ZU02Guv0g7eL89+xawzp36fZeQUECBAgQIAAAQIECBDojIAEVmf03EugxATS1MF3XnxXwZpFA/v2jr+ce3hMHD6wxFqrOeUokN5o+ZM7n4vv/vWZWL8hG4LVZBs3rH9ccPyecdQeY6ImZbVsBAgQIECAAAECBAgQ6AIBCawuQFQFgVIR+EL2drir759V0JyvnrhXbmRMQaEDAp0UeHLesvj87x+LJ+Yua7GmI3YZFV961x6mrbaoo5AAAQIECBAgQIAAgfYKSGC1V8z1BEpU4J5nF8Zpl5k6WKLhqchm1W3YGD+7+4X4TjYaa836jc362Kd3TZx92I7xqbftFIP61TY7r4AAAQIECBAgQIAAAQJbKiCBtaVSriNQwgJr1m+Id1x8Z7y0aFVjK00dbKSw080CLy1aGWn0393PLmrxSSMH98u9qfCfJ0+M2t7eHdIikkICBAgQIECAAAECBNoUkMBqk8dJAuUh8I2bZ+TeBpff2q+csGd84JDt84vsE+g2gfr6+vjjY/PiwpueileWrW3xOZNGDYr/e/TuceTuo62P1aKQQgIECBAgQIAAAQIEWhOQwGpNRjmBMhF4Yu7SOOEHd0daXLthm7zd1vHbcw7x1sEGEN89JrBibV18/9aZcfldL0Rd3s9kfgMOyH4+zztyl5i60wiJrHwY+wQIECBAgAABAgQItCoggdUqjRMESl8grUF00g/vicezJFbDltYduunTb46dxwxpKPJNoMcFnn11RXztxifj9qcXtPrsA7ffOs7NElmHTpLIahXJCQIECBAgQIAAAQIEcgISWH4QCJSxwE/vfD6+nk3Zyt/OPXLnXFIgv8w+gWIJpJcLXHjzU62+rTC1K43IOufwHbOphWOMGixWoDyXAAECBAgQIECAQIkLSGCVeIA0j0BrArMXr4qjvntnrM4WcG/Ydho9OG789GHRr7Z3Q5FvAkUX2JhNJfzT9Hnx7b88HXNeW91qe9IaWeccPilO2G+8n+FWlZwgQIAAAQIECBAgUJ0CEljVGXe9LnOBtGD2WVf8vWB6Vk1NxO8+ekg2mmV4mfdO8ytVYF3dxvj9w3Piv299NuYuaT2RNWpIvzhtyrbxvoO2jdFD+1cqh34RIECAAAECBAgQINAOAQmsdmC5lECpCNz8+Pz42FUPFzTn9IO3i6+euFdBmQMCpSiQElm/e2hO/OC2thNZaT23Y940LtLPdppmWJOytDYCBAgQIECAAAECBKpSQAKrKsOu0+UskN7yduR/3REvL1vT2I00YuWWzx4RQ/v3aSyzQ6DUBdZnLyH402Pz4id3PB9Pv7K8zeam6YWnTJ4YJ+0/IUYPMSqrTSwnCRAgQIAAAQIECFSggARWBQZVlypb4Ks3PBmXT3uhoJPff+9+8a59xheUOSBQLgJpSuztzyzIElnPxX3PL26z2b171cTbdhudS2a9ZddR0ad3rzavd5IAAQIECBAgQIAAgcoQkMCqjDjqRZUI/GPe0njX96dFtiZ24/bmnUfGLz44xfSqRhE75Szw5Lxl8Yt7X4w/PDo31qzf2GZXRg7uF/+Ujch6z+RtYqfRQ9q81kkCBAgQIECAAAECBMpbQAKrvOOn9VUkkN7kdvKP7olHZy9p7HXf2l7xl3MPjx1GDmoss0OgEgSWrFoX1/x9dvwm+7ywcOVmu/SmCcPihH3Hx/HZSEQLv2+WywUECBAgQIAAAQIEyk5AAqvsQqbB1Spw1f0vxb9d90RB9889cuc498hdCsocEKgkgTS98MGXXssls26cPj9Wr9/QZveyGYYxdaeRceK+E+Ide42Nwf1q27zeSQIECBAgQIAAAQIEykNAAqs84qSVVS6wcMXaeNtFt8eyNXWNEmnU1c3/8ubo36d3Y5kdApUskF5gcEO26PtvH5wdD896YyRia33u36dXvH2PsXHSfuPjzTtbL6s1J+UECBAgQIAAAQIEykFAAqscoqSNVS/wmWsejWsfmVvg8KuzD4rDsvWvbASqUeDZV5dniaw5cV32z8WC5Ws3SzB8UN84bu9x2TTDCbH/tltZM26zYi4gQIAAAQIECBAgUFoCElilFQ+tIdBM4J7nFsZpP72/oDyt8/O97M2DNgLVLrAhWxsu/TOSEll/eeLlWLmu7SmGyWu7EQNziawTszWzdhw1uNoJ9Z8AAQIECBAgQIBAWQhIYJVFmDSyWgXW1m2Ioy+5K55f8MYi1kP618Ytnz0iRg/pX60s+k2gRYHVWfLqr0+9En/Ikll3PrMg6vJf19niHRH7bDMsTtxvQjY6a3yMGtKvlasUEyBAgAABAgQIECBQbAEJrGJHwPMJtCHw37fOjIv+95mCK75ywp7xgUO2LyhzQIBAocCibN24Gx+fn0tmbcl6Wb2z1d8PS4u/Z+tlHZWtmzXI4u+FoI4IECBAgAABAgQIFFlAAqvIAfB4Aq0JzFq0Kt7+3Ttibd3Gxkv2zkaLXPfxqZF+2bYRILBlAi8tWpklsubF9Y/OjecXvjGasbW7B2QvRnjHnmPihGxk1puzpFZt716tXaqcAAECBAgQIECAAIEeEpDA6iFojyHQHoH6+vo48+d/jzuyaVANW8pZXf+Jw+JNWRLLRoBA+wXSP1fT5yzNrZd1w/R5sXDFus1WMnJwWvx9fJwyeWLsMX7oZq93AQECBAgQIECAAAEC3SMggdU9rmol0CmBm7KpTx+/6uGCOs48dPu44Pg9C8ocECDQMYG6DRtj2rMLs1FZ8+LP2eLvq9dvfvH3/bK3F77voO1ybzPsn43SshEgQIAAAQIECBAg0HMCElg9Z+1JBLZIYMXauvg//3V7vLJsbeP1aXHptHD70P59GsvsECDQNQIrs3/m/vpktvh7NsXwrpkLI73ZsK1taPYihXcfMDFOO2jb2Gm0txi2ZeUcAQIECBAgQIAAga4SkMDqKkn1EOgiga/86cn42d0vFNT2/ffuF+/aZ3xBmQMCBLpeYMHytZGmF/4hG5n12Owlm33AwTsOz43KeseeY6NvrbWyNgvmAgIECBAgQIAAAQIdFJDA6iCc2wh0h8ATc5fG8f89LfIHgLx555Hxiw9OiZoaC7d3h7k6CbQm8EK24Pt1D8+Jax6cXTAisqXr0yjJDxy8Xbwv+wwf1LelS5QRIECAAAECBAgQINAJAQmsTuC5lUBXCmzMslYn/+ieeDRv1Eca0fG/5x4e248c1JWPUhcBAu0QSOtl3TLj1bjq/llxZ96LFVqqol/2z+zJ+0+ID07dIXYeM6SlS5QRIECAAAECBAgQINABAQmsDqC5hUB3CFx1/0vxb9c9UVD1eUfuEv9y5M4FZQ4IECiewEuLVsavH5gd/5ONylq0su23GKbRk2cftkMcscsoIyiLFzJPJkCAAAECBAgQqBABCawKCaRulLdAWncnLdy+bE1dY0d2zEZd3Xzum6NfrbedNaLYIVAiAmvrNsRf/vFK/Orel+KBFxe32aq00HtKZJ2034Tw9sI2qZwkQIAAAQIECBAg0KqABFarNE4Q6DmB8655NK57ZG7BA6/60EExdaeRBWUOCBAoPYG0dl168cKfHpsX6ze0/gbDtE5Wmlr4voO39UbR0gujFhEgQIAAAQIECJS4gARWiQdI8ypf4J7nFsZpP72/oKMn7Ds+Ljl1v4IyBwQIlLbAq8vWxC/veym3VtbiNqYXDulXG+8/ZLs4a+r2MXpI/9LulNYRIECAAAECBAgQKBEBCawSCYRmVKdAmoZ09CV3xfMLVjYCDOlfG7d89gi/2DaK2CFQXgJr1m+IP2QjKi+f9kLMfHVFq41PL2l49wHbxEfevKMXNbSq5AQBAgQIECBAgACBTQISWH4SCBRR4L9vnRkX/e8zBS346ol7xekHb1dQ5oAAgfITqK+vj7tmLoyf3Plc3P3solY70Ksm4ug3jYuPHTEp9powrNXrnCBAgAABAgQIECBQzQISWNUcfX0vqsCsRavi7d+9I9bWbWxsxz7bDItrPz41eqffaG0ECFSMwPQ5S+LHdzwXNz/xcmR5rVa39ObClMg6ZNIIby5sVckJAgQIECBAgACBahSQwKrGqOtz0QXSyIwzfv73uPOZBY1tSTmrP37yMCMwGkXsEKg8gecXrIhL73w+rn14bqzb8EbyumlP986S2SmRddSeYyW0m+I4JkCAAAECBAgQqEoBCayqDLtOF1vgukfmxHnXPFbQjLSg85fetWdBmQMCBCpT4JVswfefZWtkXXX/rFixtq7VTu44clB85PAd46T9J0S/2t6tXucEAQIECBAgQIAAgUoXkMCq9AjrX8kJLFqxNo78zh3x2qr1jW0bM7Rf/O0zR8SQ/n0ay+wQIFD5AktXr49fZW8u/PndL8TCFeta7fDoIf3ig4ftEKcdtG0M9e+JVp2cIECAAAECBAgQqFwBCazKja2elajAp3/9SPzxsXkFrfvpBybH2/cYU1DmgACB6hFIby783UNzctMLZy1e1WrHB/erzSWx0ojNccMGtHqdEwQIECBAgAABAgQqTUACq9Iiqj8lLXDrjFfig1c8WNDGY7O3j/3gffsXlDkgQKA6BeqydbFuyhZ6//Htz8WT85e1ilCbLZp3wr4TctMLdx07pNXrnCBAgAABAgQIECBQKQISWJUSSf0oeYG0zs1R2dTBeUvXNLZ12IA+uamDo7LpQTYCBAg0CKQXPdw5c2H86PZn477nFzcUt/j9ll1HxTmHT4qDdxzuzYUtCikkQIAAAQIECBCoBAEJrEqIoj6UhcAXr38ifnHvSwVt/da7945TJk8sKHNAgACBfIFHZy/JphY+F3/ORmZtrM8/U7i/5/ihceah28e79hkf/ftY8L1QxxEBAgQIECBAgEC5C0hglXsEtb8sBO55dmGcdtn9BW2dutOI+NXZBxkxUaDigACB1gReXLgyLpv2fPzPg3Nibd3G1i6LEYP65tbJev/B28WYof1bvc4JAgQIECBAgAABAuUkIIFVTtHS1rIUWL5mfbzz4rti7pLVje3v36dX/OXcw2O7EYMay+wQIEBgSwTSm0yvzEZz/vLeFwveZtr03rRO1jHZGntpwff9tt266WnHBAgQIECAAAECBMpKQAKrrMKlseUo8H9/Pz1+8/fZBU3/0rv2yH6p3KGgzAEBAgTaI7BqXV1uNNbl016Itt5cmOrcZ+JW8YFsRFZKaA3oa3phe5xdS4AAAQIECBAgUBoCElilEQetqFCB255+Nc76+d8LepcWWr76QwdHr2x0hI0AAQKdFdiQLYx164xX44p7Xoi7n13UZnVD+tfGidnbC//5wImx14RhbV7rJAECBAgQIECAAIFSEpDAKqVoaEtFCSxdtT6OuviOeGXZ2sZ+DcpGPvw5mzo4cfjAxjI7BAgQ6CqBp19eniWyXozrHpkTa9a3vk5Wet6bsgRWSmSdsO/4GNK/T1c1QT0ECBAgQIAAAQIEukVAAqtbWFVKIOLc3zwSf3h0XgHFhSe9Kbe4ckGhAwIECHSxwGsr18U1D86OX2TJrHlL17RZ+4DsjYXH7j0u3nPANnHg9sONDm1Ty0kCBAgQIECAAIFiCUhgFUvecytaII1+OO+axwr6ePguo+LKsw701sECFQcECHSnQN2GjfG3p16Jqx+YHXfNXBD19W0/bWz21sLjsmTWu/YZH3tvM8y/r9rmcpYAAQIECBAgQKAHBSSwehDbo6pDIL3q/tjv3RUr121o7HBad+Z/zzs8xg0b0FhmhwABAj0pMOe1VfHbB+dkC7/PjvmbGZWV2rXdiIHxrr3H55JZu44d0pNN9SwCBAgQIECAAAECzQQksJqRKCDQcYF1dRvj3T++J6bPWVpQyffeu18cn41osBEgQKDYAmnR9zufWZC9HXVW3PLUq1GXHW9u23XMkDj6TWPj/+w2JvYcP9Q0w82BOU+AAAECBAgQINDlAhJYXU6qwmoWuPCmp+LSO58vIDhl8jbxrXfvU1DmgAABAqUg8OryNfH7h+bG9Y/OjRnZAvBbso0e0i/euuvoeNvuo+OwnUbGoH61W3KbawgQIECAAAECBAh0SkACq1N8bibwhsAd2YiGM372wBsF2d6OowbFDZ86LAb29QteAYwDAgRKTuCZV5bHnx6bF3/MPi8tWrVF7evbu1cctOPweNtuo+MtWVJr+2zaYU1NzRbd6yICBAgQIECAAAEC7RGQwGqPlmsJtCIwb8nqeNf3p8Wi7M1fDVv6xe66TxyaTbcZ1lDkmwABAiUvUJ+t9P743KW5ZNYN0+dv0XpZDZ0aM7RfTNlhRBy0w/A4OEtsTRo1WEKrAcc3AQIECBAgQIBApwQksDrF52YCEWvWb4hTfnJvs3WvvvSuPeKsqTsgIkCAQNkKbMzWx3po1mtx8+Mvx60zXokXt3BkVkOHRw7umyW0hmcJrRFx4PbDY5cxg6M2S+7bCBAgQIAAAQIECLRXQAKrvWKuJ5AnkEYqnP+76fG7h+bklUYcma0N89MPTDbyoEDFAQEC5S7w/IIVWSLr1dzngRcWb9EC8Pl97t+nV+w+bmjsPWFY7JV99t5mq2yU1iBJrXwk+wQIECBAgAABAi0KSGC1yKKQwJYJ/OLeF+OL1/+j4OK0Bsz1nzwshg3oU1DugAABApUksHzN+pg2c2HckiW00hqAC5av7VD3UlIrTbXeK3u74S5jh8TOo9NncGw9qG+H6nMTAQIECBAgQIBAZQpIYFVmXPWqBwTS6IPTfnpfwQiEQX17Z+teTc2myQzpgRZ4BAECBEpDII1GfX7hyrj/+cVx/wuLct8vL1vTqcal6Ye5ZFY27TAltCZlnx1GDooxQ/pHr14Wiu8UrpsJECBAgAABAmUoIIFVhkHT5OILvLRoZZz8w3sKFm1Prfrx+/ePd+41rvgN1AICBAgUUSAltGYtXpUls7KEVpbUeuDFRTF78eouaVG/2l4xcfjA3BsPtx0+KLbLRr1um322y8rGbzUg+vfp3SXPUQkBAgQIECBAgEBpCUhglVY8tKYMBBauWBv/9KN7mr1m/hNvnRTnv2O3MuiBJhIgQKDnBRZnb2lNbzd8Ivs8Pif7ZN9zsze4dvU2cnC/mLBV/1wyKyW00if/eEQ2NbGmxgiurnZXHwECBAgQIECguwUksLpbWP0VJbBybV28N5s2OD375St/e8uuo+LyMw6M3qa15LPYJ0CAQJsCi7I/CDwxb1mW0FoST7+yIma+sjyeX7Ay1m3Y2OZ9nTnZNxvBNSFLao0b9kaSKz/BNX7YgBiQTQe3ESBAgAABAgQIlJaABFZpxUNrSlhgffYL1YeufDC3WHF+M/fI3qh1zTkHx5D+Fm3Pd7FPgACBjgjUZf+uTdMPZ766Ip7NPimplfZTYmv1+g0dqbLd96RRWptGb21KcqWEV/o0jOhK63MZxdVuVjcQIECAAAECBDolIIHVKT43V4vAxo31cf7vpsfvH55T0OVtth4Q137s0Bg9tH9BuQMCBAgQ6FqBtK5WetPhS1ly66VF6bNy03d2PCvbf23V+q59YBu1pVFc418fwdWQ2Gr4Tv+/kBJd6RobAQIECBAgQIBA1wlIYHWdpZoqVGBDlrz6f9dOj98+WJi82npgn/hdlryaNGpwhfZctwgQIFA+AsvWrI/5S9bEvGxdrbS2Vvre9FmTO05vRUz/Pu+JLS2xNTb7w0ZKZm2z9cDXvzftT8yOx2VrdPXpLcHVE7HwDAIECBAgQKByBCSwKieWetINAumXnfP/57G49pG5BbX379Mrrv7wwbH/tlsXlDsgQIAAgdIUSP8+TyO4CpNbKdn1RtJr6eqeGcWVlkvclOAqTG6lhFd6w+LYbHSXBFdp/hxpFQECBAgQIFA8AQms4tl7cokLpHVYPvPbx+KPj80raGmf3jXxo/cdEEfuMaag3AEBAgQIlLdAelHH/KWrY85rafTWpsRWw4iulPh6eemaqOuBUVwpwTUuW0x+Qm4E1xujuNLorZTkSgvQ1xrBVd4/bFpPgAABAgQItFtAAqvdZG6oBoE12ULBn/nto3HT4y8XdLdv9gvDD9+3v+RVgYoDAgQIVIdA/iiulkZyzXltVSxfU9ftGOmNt02nKKaRW5umLA7InZPg6vYweAABAgQIECDQwwISWD0M7nGlL7Awe637R37xYDw8a0lBY9OCvD85/YB4666jC8odECBAgACBBoE0DTElstIork2fTfuzs8Xm0/GKbJRXd28pwZVGaeWvwdUweistMD9qSL/o36d3dzdD/QQIECBAgACBLhWQwOpSTpWVu8CMl5fF2Vc8mFsjJb8v/bLk1WVnTI437zwqv9g+AQIECBDYYoH0JsVlq+tidmOCqyHR9UaSa+W6DVtcX2cuHNyvNkYO7hsjBvfLfY/MfW/aHzawb2w1oE9slb2sZFj6HtA3hvSvjV5pbqONAAECBAgQIFAkAQmsIsF7bOkJ3DrjlfjU1Y9E018eBvXtHT/NkleHThpZeo3WIgIECBCoGIGU4No0giuN3nojqdUwmislvlb1UIKrKWp6s2JKZqXPoL61kRJgg/r1zj4N++k47eeVZde9cb537p6B2TUDs9FfkmFNhR0TIECAAAECmxOQwNqckPMVL7C2bkP81/8+Ez+96/nIfnco2CZkUy0uP3Ny7DZ2aEG5AwIECBAg0NMCKcG1ZFWaopiX4GoymqtYCa72WKRkWEpiNSS3BqakV2NS7PXEWF7ya3A2+mvrbDTYVtnIsOGDstFhaT8bFZam9tsIECBAgACB6hGQwKqeWOtpCwLPvLI8/uU3j8ZT85c1O7v/tlvFpR+YnE2t6NfsnAICBAgQIFBqAinB9VouwdV09FbDVMXVsTp7SUmlbGkUWEpmjciSWmldr9FD+8fo7HtM9j1maHY8JDvOvkcM6hdpXTAbAQIECBAgUN4CEljlHT+t76BAepPUL+59Mb5x84xYW7exWS0n7js+vvFPe1vktpmMAgIECBAoV4HcGlzZWxLTy0oWLs8+K9bFopWb9hdk+6l88cp1uWmMaaTX0tXrYv2GJkOTy7DzLb21ccLWA3KL3KfF7cdmC973yd4ybCNAgAABAgRKW0ACq7Tjo3XdIHD/84vigj892eKoq77Zf8B+/p27xtmH7RA1aY6DjQABAgQIVKlASnilEVspmbUpobUpqbVi7YZYmb1NceW67JO+s+P0dsW03/DdWPb6NaWcCEuDs8YNGxANSa1tsqRWeoNjSm5NHD4gd84Irir9h0C3CRAgQKCkBCSwSiocGtOdAnOXrI4Lb3oqbpw+v8XH7DpmSFx86r6x+zjrXbUIpJAAAQIECHRQYF022rkxwZWX+GosyyXEXk+M5RJhbyTJlq1en5sa+dqqdbE8G0HW01ttluEan62JmZJZm5Jarye4hmcJrizJld7m6I9ePR0VzyNAgACBahSQwKrGqFdZn19cuDJ+cufz8fuH5sS6Dc2nCyaOs6ZuH//6zt1MGayynw3dJUCAAIHyElif/f/4phFh6xqTWouy6Y+vLl8TryxbGwte/07HaYpkWjKgu7cB2YL0afTWuGwq4ths/a3cdzaia+ywftnxpvK0VpckV3dHQv0ECBAgUOkCEliVHuEq7V+a9vD43KW5xNXNj8+P1v77NY26uuD4PeOQSSOqVEq3CRAgQIBAZQqk5FVa4+vlpWtibu7Njasjjcae8/qbG2cvXpVNg+yZRe3TGxPTYvNbZ29SHJGN2EpvU0yfVDY8W2R++KA+MaR/n0gL06e3Mw7J3ryY9gf27S3xVZk/nnpFgAABAh0QkMDqAJpbSlfg1WVr4g+Pzo1rH54bM15e3mpDhw3oE589apc4bcq2UWvh1ladnCBAgAABApUqkP7YtTSbnjgnl9x6402NKcE1e/HqmJ19r+qhBFdrxmk5zsF9NyW1+vXpFf2yRFhKhqU1O3Pftb0by/o1lr1xPi1O33B9n9410Se7N1eWlafvhrJUX+Px6/c0HDecS8/vnz2vlzc6thYu5QQIECDQzQISWN0MrPruF0hTBG9/+tW4ZcarcfezC1sdbZVakv4j7L1TJsa5R+4SW2d/9bQRIECAAAECBFoSSAmu9FbG2VmCK43WSgmtlNjalOBalRvNVcqL07fUp86WpYTawGzK5IBcUq13NkIsS65lo8QGppFj6btJ+dDsD4ZDB9RG+sPh0GyEWe4720/fKRlnWmVnI+J+AgQIVJeABFZ1xbvse5v+Y/KlRavikdmvxSOzlsSdzyyIF7PjzW1pGP77D94uPpitdTU6W5/CRoAAAQIECBDojECaovhKNvI7JbfmZ9MU0+flpas3fWflaerighVrI/tPF1sLAumPii0nuAoTXvlJrzS1Mk21TN9phJiNAAECBKpLQAKruuJdNr1NiarXstd2P79gRTz76oqY+frn8TlLcuVb2pEJ2VuDTjto21zyKv0HkI0AAQIECBAg0FMCadH5lORasHxtbjRXGtHV8Fn0+n76XpK9YTG9kTG9ZXFt9sZG2+YF0giuhmTWpsTWpnXDGstya4ltSnYNfj3xlf6gmRbdH5CNFst9Z/sNUzONBtu8uSsIECBQbAEJrGJHoEqenxJSaaHU9B9o6e1Bac2J3FuEVm86TuUpYZX+Iy8tsDp/yZpYvb5jC6umBU+P3mtc/NMBE+LgHUZYq6FKfsZ0kwABAgQIVIJASno1JLNWZEmths+6LLGVklvpe9NnQ+7tyvnlufPZ/aks1ZM+6+rqG/c3HWdlG/LKUn35x7n7qmvYWJoa2ZDQ6p8ltfpn632lJFda8yutIZbWS+2Trf2VRn3VprXE0nH2XVj++ppiDdf02nTcOztOy4b1zh6S1g/rlX1nRbnvTfsNZek7K8/+J3dt7vqm971+Ta6Ohvs21dX79brfuL+Fuhquabw/TOOshH9p6AOBKhKQwKqiYG+uq3V1dfHyyy9v7rJ2n//ZtBcifepaexVgu2tsfkN6k096k+Ahk4bH1Ekjc2szNL9KCQECBAgQIECAwOYE0h8e0/pedSmZtfH1RNj6+twfF1etr4vV6zZmC9xn39kfG1dnf6Bcne2vyspWZ+fSwvepLH0vTwm4NetzI8tSIm7l2o79cXJz7XW+4wJZLiuXMKvJJbfS/qbEV028kSxLo9Oy07lkV/53SsClc6mOVL7pk1f2eh0F92cXNVyXrYKWVdpwX/rOuzfbT9dtujcrb+hi407u1lxpuiZtjade38m7K9fG/GtevyW7p/HiXB25axorijhq97FxwPZbN57rqp2xY8dGbW1tV1WnHgJVIyCBVTWh3nxH58yZExMnTtz8ha4gQIAAAQIECBAgQIAAgQ4JzJ49O7bZZpsO3esmAtUsYPXDao6+vhMgQIAAAQIECBAgQIAAAQIEykDACKwyCFJPNbE9Uwjnz58fU6ZMyTXtgQceiHHjxvVUMz2nBQHxaAGlSEViUST4Vh4rHq3AFKlYPIoE38JjxaIFlCIWiUcR8Vt4tHi0gFKkokqNhSmERfqB8tiyFzDxtuxD2HUdSPOwOzKUNSWvOnJf17VcTfkC4pGvUdx9sSiuf9Oni0dTkeIei0dx/fOfLhb5GsXfF4/ixyC/BeKRr1HcfbEorr+nEygFAVMISyEK2kCAAAECBAgQIECAAAECBAgQINCqgARWqzROECBAgAABAgQIECBAgAABAgQIlIKABFYpREEbCBAgQIAAAQIECBAgQIAAAQIEWhWQwGqVxgkCBAgQIECAAAECBAgQIECAAIFSEJDAKoUoaAMBAgQIECBAgAABAgQIECBAgECrAhJYrdI4QYAAAQIECBAgQIAAAQIECBAgUAoCElilEAVtIECAAAECBAgQIECAAAECBAgQaFWgpj7bWj3rBAECBAgQIECAAAECBAgQIECAAIEiCxiBVeQAeDwBAgQIECBAgAABAgQIECBAgEDbAhJYbfs4S4AAAQIECBAgQIAAAQIECBAgUGQBCawiB8DjCRAgQIAAAQIECBAgQIAAAQIE2haQwGrbx1kCBAgQIECAAAECBAgQIECAAIEiC0hgFTkAHk+AAAECBAgQIECAAAECBAgQINC2gARW2z7OEiBAgAABAgQIECBAgAABAgQIFFlAAqvIAfB4AgQIECBAgAABAgQIECBAgACBtgUksNr2cZYAAQIECBAgQIAAAQIECBAgQKDIAhJYRQ6AxxMgQIAAAQIECBAgQIAAAQIECLQtIIHVto+zBAgQIECAAAECBAgQIECAAAECRRaQwCpyADyeAAECBAgQIECAAAECBAgQIECgbQEJrLZ9nCVAgAABAgQIECBAgAABAgQIECiygARWkQPg8QQIECBAgAABAgQIECBAgAABAm0LSGC17eMsAQIECBAgQIAAAQIECBAgQIBAkQUksIocAI8nQIAAAQIECBAgQIAAAQIECBBoW0ACq20fZwkQIECAAAECBAgQIECAAAECBIosIIFV5AB4PAECBAgQIECAAAECBAgQIECAQNsCElht+zhLgAABAgQIECBAgAABAgQIECBQZIHaIj/f40tIoK6uLl5++eVci8aOHRu1tX48Sig8mkKAAAECBAgQIECAAIF2Cfgdr11cLi5xASOwSjxAPdm8lLyaOHFi7tOQyOrJ53sWAQIECBAgQIAAAQIECHSdgN/xus5STcUXkMAqfgy0gAABAgQIECBAgAABAgQIECBAoA0BCaw2cJwiQIAAAQIECBAgQIAAAQIECBAovoAEVvFjoAUECBAgQIAAAQIECBAgQIAAAQJtCEhgtYHjFAECBAgQIECAAAECBAgQIECAQPEFJLCKHwMtIECAAAECBAgQIECAAAECBAgQaENAAqsNHKcIECBAgAABAgQIECBAgAABAgSKLyCBVfwYaAEBAgQIECBAgAABAgQIECBAgEAbAhJYbeA4RYAAAQIECBAgQIAAAQIECBAgUHwBCazix0ALCBAgQIAAAQIECBAgQIAAAQIE2hCQwGoDxykCBAgQIECAAAECBAgQIECAAIHiC0hgFT8GWkCAAAECBAgQIECAAAECBAgQINCGgARWGzhOESBAgAABAgQIECBAgAABAgQIFF9AAqv4MdACAgQIECBAgAABAgQIECBAgACBNgQksNrAcYoAAQIECBAgQIAAAQIECBAgQKD4AhJYxY+BFhAgQIAAAQIECBAgQIAAAQIECLQhIIHVBo5TBAgQIECAAAECBAgQIECAAAECxReQwCp+DLSAAAECBAgQIECAAAECBAh0q8CXrn+iW+tXOYHuFpDA6m5h9RMgQIAAAQIECBAgQIAAgSIL/P3FxUVugccT6JxAVSewXn311bjhhhvii1/8Yhx99NExcuTIqKmpyX3OPPPMLZJds2ZNXH/99fGpT30qDjrooBg+fHj06dMn933IIYfEBRdcEPPnz9+iutJFq1atim9/+9sxZcqUXB2DBw+O3XffPT73uc/FrFmztrgeFxIgQIAAAQIECBAgQIAAgQaBjfUNe74JlKdAbXk2u2taPWbMmE5VNH369DjssMNi+fLlzep57bXX4r777st9vvOd78Rll10Wp5xySrPr8guee+65OPbYY+Ppp5/OL44ZM2bkPqmOq6++Oo455piC8w4IECBAgAABAgQIECBAgEBbAvX1Mlht+ThX+gJVPQIrPzwTJ06Mo446Kr9os/vLli1rTF5NnTo1/vM//zP++te/xsMPPxx/+ctf4pxzzonevXvnrjnttNPi5ptvbrXOFStWxHHHHdeYvPrwhz8ct9xyS9xzzz3x9a9/PdJIrKVLl8Z73vOeSIkzGwECBAgQIECAAAECBAgQ2FIBI7C2VMp1pSpQ1SOw0tTBAw88MPdJo7FefPHF2GGHHbY4Vr169cqNqvrSl74Ue+yxR7P7UkIsTU086aSTYsOGDblphjNnzsxNUWx668756gAAQABJREFU8UUXXZQbZZXKv/Wtb8X555/feEmaivjWt741Dj/88NwUw3PPPTduvfXWxvN2CBAgQIAAAQIECBAgQIBAWwL1YQRWWz7Olb5AVY/A+vKXv5wb9dTRqYSHHnpoXHPNNS0mrxpCf8IJJ8TJJ5+cO0xTBB999NGGU43f69evj0suuSR3nNa7+uxnP9t4rmEnJbHOPvvs3OFtt90WDz30UMMp3wQIECBAgAABAgQIECBAoE0BMwjb5HGyDASqOoHVU/FJo6catpTEarrdfvvtsWTJklzxGWecEWlkV0tb/sLy1157bUuXKCNAgAABAgQIECBAgAABAs0ENspgNTNRUF4CLWdKyqsPJd/atWvXNraxpeTUXXfd1Xj+iCOOaNxvujN58uQYNGhQrnjatGlNTzsmQIAAAQIECBAgQIAAAQItCshftciisIwEJLB6IFh33HFH41N22223xv2GnaeeeqphN1o633CytrY2Jk2alDvMv6fhvG8CBAgQIECAAAECBAgQINCSgEXcW1JRVk4CVb2Ie08E6rHHHosbb7wx96g999yzxfWyZs+enTufRldttdVWbTYrvS0xvYVwwYIFkUZ29evXr83r80/OmTMn/7DZ/vz585uVKSBAgAABAgQIECBAgACB0hRoz+94RmCVZgy1assFJLC23KrdV6YE04c+9KHcGwjTzRdeeGGLdSxfvjxXPnjw4BbP5xc2TCFMZStWrGhXAislv2wECBAgQIAAAQIECBAgUBkC7fkdr14GqzKCXsW9MIWwG4P/yU9+Mh588MHcE9Li7Mcff3yLT1uzZk2uvG/fvi2ezy/MH3G1evXq/FP2CRAgQIAAAQIECBAgQIBAiwIWcW+RRWEZCRiB1U3B+s///M+47LLLcrUfcMAB8YMf/KDVJ/Xv3z93bt26da1e03Aif0H4AQMGNBRv0XfDVMXWLk5TCKdMmdLaaeUECBAgQIAAAQIECBAgUEIC7fkdr76E2q0pBDoiIIHVEbXN3POTn/wkvvCFL+Su2nXXXePmm29ufHtgS7cOGTIkV5ymBG5uW7lyZeMlWzLlsPHibGebbbbJP7RPgAABAgQIECBAgAABAmUs0J7f8dIMwjSNsKampox7rOnVLGAKYRdH/9e//nV8/OMfz9W63Xbbxd/+9rcYNWpUm09p+JdOSk4tWbKkzWsbMuypzvzphG3e5CQBAgQIECBAgAABAgQIVL2AZbCq/kegrAEksLowfH/84x/jAx/4QGzcuDHGjRsXt9xyyxaNetpjjz0aWzFjxozG/aY7dXV18dxzz+WKd99996anHRMgQIAAAQIECBAgQIAAgVYFrIPVKo0TZSAggdVFQUrJqlNOOSVSkmnEiBHx17/+NSZNmrRFtR922GGN191xxx2N+0130oLwDVMIp06d2vS0YwIECBAgQIAAAQIECBAg0KrARgthtWrjROkLSGB1QYzuueeeOOGEEyItsD506ND4y1/+EnvuuecW1/yWt7wlhg0blrv+yiuvzM1LbunmK664orH4pJNOaty3Q4AAAQIECBAgQIAAAQIENidQHzJYmzNyvnQFJLA6GZtHH300jj322NzIqEGDBsVNN90U6a2D7dn69u0bn/70p3O3PPXUU3HRRRc1u/3ee++Nyy+/PFd+xBFHxIEHHtjsGgUECBAgQIAAAQIECBAgQKA1AWtgtSajvBwEqvothNOmTYtnn322MU4LFy5s3E/l+SOe0okzzzyz8XzaSetRveMd72hceP1rX/tabiTVE088UXBd/sHo0aMjfZpu559/flxzzTXxzDPPxOc///lcu0499dQYMGBA3HbbbXHhhRfmpiem44svvrjp7Y4JECBAgAABAgQIECBAgECbAtbAapPHyRIXqMleo1m1YwhTQipN2dvSrSlVSnCdddZZW3p77rovfelLccEFF7R4T0qaHXPMMTFz5swWz6fpiVdddVUcd9xxLZ7vbOGcOXNi4sSJuWrS2w4b3o7Y2XrdT4AAAQIECBAgQIAAAQI9L5D/O96Ej10RM777vhjcr6rHsfR8EDyxywRMIewyys5XtNNOO8UjjzwS3/zmN2Py5Mmx1VZbxcCBA2PXXXeN8847L6ZPn95tyavOt14NBAgQIECAAAECBAgQIFDKAkZglXJ0tG1zAlU9AmtzONV2Pj87bwRWtUVffwkQIECAAAECBAgQqDSB/N/x0gisf/zXaTFsQJ9K66b+VImAEVhVEmjdJECAAAECBAgQIECAAIHqFmi6LE51a+h9uQlIYJVbxLSXAAECBAgQIECAAAECBAh0QGBj1a6A3QEst5ScgARWyYVEgwgQIECAAAECBAgQIECAQNcLWAOr603V2HMCElg9Z+1JBAgQIECAAAECBAgQIECgaAISWEWj9+AuEJDA6gJEVRAgQIAAAQIECBAgQIAAgZIXMIWw5EOkga0LSGC1buMMAQIECBAgQIAAAQIECBCoGAFrYFVMKKuyIxJYVRl2nSZAgAABAgQIECBAgACBahMwhbDaIl5Z/ZXAqqx46g0BAgQIECBAgAABAgQIEGhRQAKrRRaFZSIggVUmgdJMAgQIECBAgAABAgQIECDQGYF6a2B1hs+9RRaQwCpyADyeAAECBAgQIECAAAECBAj0hIAEVk8oe0Z3CUhgdZesegkQIECAAAECBAgQIECAQAkJmEJYQsHQlHYLSGC1m8wNBAgQIECAAAECBAgQIECg/AQksMovZlr8hoAE1hsW9ggQIECAAAECBAgQIECAQMUKbLQGVsXGtho6JoFVDVHWRwIECBAgQIAAAQIECBCoeoF6i2BV/c9AOQNIYJVz9LSdAAECBAgQIECAAAECBAhsoYABWFsI5bKSFJDAKsmwaBQBAgQIECBAgAABAgQIEOhaAWtgda2n2npWQAKrZ709jQABAgQIECBAgAABAgQIFEVg48aiPNZDCXSJgARWlzCqhAABAgQIECBAgAABAgQIlLaAEVilHR+ta1tAAqttH2cJECBAgAABAgQIECBAgEBFCFjDvSLCWLWdkMCq2tDrOAECBAgQIECAAAECBAhUk0B9WMa9muJdaX2VwKq0iOoPAQIECBAgQIAAAQIECBBoQWCj/FULKorKRUACq1wipZ0ECBAgQIAAAQIECBAgQKATAtbA6gSeW4suIIFV9BBoAAECBAgQIECAAAECBAgQ6H6BeotgdT+yJ3SbgARWt9GqmAABAgQIECBAgAABAgQIlI6AKYSlEwstab+ABFb7zdxBgAABAgQIECBAgAABAgTKTsAArLILmQbnCUhg5WHYJUCAAAECBAgQIECAAAEClSpgDaxKjWx19EsCqzrirJcECBAgQIAAAQIECBAgUOUCElhV/gNQ5t2XwCrzAGo+AQIECBAgQIAAAQIECBDYEgFTCLdEyTWlKiCBVaqR0S4CBAgQIECAAAECBAgQINCFAhJYXYipqh4XkMDqcXIPJECAAAECBAgQIECAAAECPS9gCmHPm3ti1wlIYHWdpZoIECBAgAABAgQIECBAgEDJCkhglWxoNGwLBCSwtgDJJQQIECBAgAABAgQIECBAoNwFTCEs9whWd/slsKo7/npPgAABAgQIECBAgAABAlUiYARWlQS6QrspgVWhgdUtAgQIECBAgAABAgQIECCQL2AEVr6G/XITkMAqt4hpLwECBAgQIECAAAECBAgQ6ICAEVgdQHNLyQhIYJVMKDSEAAECBAgQIECAAAECBAh0n8DG+u6rW80EultAAqu7hdVPgAABAgQIECBAgAABAgRKQKDeHMISiIImdFRAAqujcu4jQIAAAQIECBAgQIAAAQJlJGAEVhkFS1ObCUhgNSNRQIAAAQIECBAgQIAAAQIEKk+gPswhrLyoVk+PJLCqJ9Z6SoAAAQIECBAgQIAAAQJVLGAEVhUHvwK6LoFVAUHUBQIECBAgQIAAAQIECBAgsDkBa2BtTsj5UhaQwCrl6GgbAQIECBAgQIAAAQIECBDoIoGNFnHvIknVFENAAqsY6p5JgAABAgQIECBAgAABAgR6WKBXTU0PP9HjCHSdgARW11mqiQABAgQIECBAgAABAgQIlKxAjQRWycZGwzYvIIG1eSNXECBAgAABAgQIECBAgACBshfoZQBW2cewmjsggVXN0dd3AgQIECBAgAABAgQIEKgagZqQwaqaYFdgRyWwKjCoukSAAAECBAgQIECAAAECBJoKGIHVVMRxOQlIYJVTtLSVAAECBAgQIECAAAECBAh0UMAaWB2Ec1tJCEhglUQYNIIAAQIECBAgQIAAAQIECHSvgDXcu9dX7d0rIIHVvb5qJ0CAAAECBAgQIECAAAECJSHQSwarJOKgER0TkMDqmJu7CBAgQIAAAQIECBAgQIBAWQlYA6uswqWxTQQksJqAOCRAgAABAgQIECBAgAABApUoYABWJUa1evokgVU9sdZTAgQIECBAgAABAgQIEKhiAYu4V3HwK6DrElgVEERdIECAAAECBAgQIECAAAECmxOwBtbmhJwvZQEJrFKOjrYRIECAAAECBAgQIECAAIEuErAGVhdBqqYoAhJYRWH3UAIECBAgQIAAAQIECBAg0LMCNVHTsw/0NAJdKCCB1YWYqiJAgAABAgQIECBAgAABAqUqYARWqUZGu7ZEQAJrS5RcQ4AAAQIECBAgQIAAAQIEylzAIu5lHsAqb74EVpX/AOg+AQIECBAgQIAAAQIECFSHQI0ZhNUR6ArtpQRWhQZWtwgQIECAAAECBAgQIECAQL6AtxDma9gvNwEJrHKLmPYSIECAAAECBAgQIECAAIEOCFgDqwNobikZAQmskgmFhhAgQIAAAQIECBAgQIAAge4TMIWw+2zV3P0CEljdb+wJBAgQIECAAAECBAgQIECg6AIWcS96CDSgEwISWJ3AcysBAgQIECBAgAABAgQIECgXAWtglUuktLMlAQmsllSUESBAgAABAgQIECBAgACBChPwEsIKC2iVdUcCq8oCrrsECBAgQIAAAQIECBAgUJ0CRmBVZ9wrpdcSWJUSSf0gQIAAAQIECBAgQIAAAQJtCFjEvQ0cp0peQAKr5EOkgQQIECBAgAABAgQIECBAoPMCElidN1RD8QQksIpn78kECBAgQIAAAQIECBAgQKDHBEwh7DFqD+oGAQmsbkBVJQECBAgQIECAAAECBAgQKDUBCaxSi4j2tEdAAqs9Wq4lQIAAAQIECBAgQIAAAQJlKtDLawjLNHKanQQksPwcECBAgAABAgQIECBAgACBKhCwBlYVBLmCuyiBVcHB1TUCBAgQIECAAAECBAgQINAgUCOD1UDhuwwFJLDKMGiaTIAAAQIECBAgQIAAAQIE2itgDaz2irm+lAQksEopGtpCgAABAgQIECBAgAABAgS6ScASWN0Eq9oeEZDA6hFmDyFAgAABAgQIECBAgAABAsUVMAKruP6e3jkBCazO+bmbAAECBAgQIECAAAECBAiUhYAlsMoiTBrZioAEViswigkQIECAAAECBAgQIECAQCUJSGBVUjSrry8SWNUXcz0mQIAAAQIECBAgQIAAgSoUMIWwCoNeQV2WwKqgYOoKAQIECBAgQIAAAQIECBBoTUACqzUZ5eUgIIFVDlHSRgIECBAgQIAAAQIECBAg0EkBUwg7Cej2ogpIYBWV38MJECBAgAABAgQIECBAgEDPCEhg9Yyzp3SPgARW97iqlQABAgQIECBAgAABAgQIlJSAKYQlFQ6NaaeABFY7wVxOgAABAgQIECBAgAABAgTKUaCmHButzQReF5DA8qNAgAABAgQIECBAgAABAgSqQMAIrCoIcgV3UQKrgoOrawQIECBAgAABAgQIECBAoEFAAqtBwnc5CkhglWPUtJkAAQIECBAgQIAAAQIECLRToEYGoJ1iLi8lAT++pRQNbSFAgAABAgQIECBAgAABAt0kYA2sboJVbY8ISGD1CLOHECBAgAABAgQIECBAgACB4gqYQlhcf0/vnIAEVuf83E2AAAECBAgQIECAAAECBMpCQAKrLMKkka0ISGC1AqOYAAECBAgQIECAAAECBAhUkkCNOYSVFM6q64sEVtWFXIcJECBAgAABAgQIECBAgAABAuUlIIFVXvHSWgIECBAgQIAAAQIECBAg0CEBUwg7xOamEhGQwCqRQGgGAQIECBAgQIAAAQIECBAgQIBAywISWC27KCVAgAABAgQIECBAgAABAhUlYA2sigpn1XVGAqvqQq7DBAgQIECAAAECBAgQIFCNAtZwr8aoV06fJbAqJ5Z6QoAAAQIECBAgQIAAAQIECBCoSAEJrIoMq04RIECAAAECBAgQIECAAIFCgRpzCAtBHJWVgARWWYVLYwkQIECAAAECBAgQIECAAAEC1ScggVV9MddjAgQIECBAgAABAgQIEKhCAWtgVWHQK6jLElgVFExdIUCAAAECBAgQIECAAAECrQmYQdiajPJyEJDAKocoaSMBAgQIECBAgAABAgQIECBAoIoFJLCqOPi6ToAAAQIECBAgQIAAAQLVI2AR9+qJdSX2VAKrEqOqTwQIECBAgAABAgQIECBAgACBChKo6gTWq6++GjfccEN88YtfjKOPPjpGjhwZKSOdPmeeeWa7w/znP/85Tj755Nhmm22iX79+ue90nMq3dFu1alV8+9vfjilTpsTw4cNj8ODBsfvuu8fnPve5mDVr1pZW4zoCBAgQIECAAAECBAgQIECAQMUI1FZMTzrQkTFjxnTgrua31NfXx0c/+tG49NJLC07OnTs3rrvuutznIx/5SPz4xz/OJccKLso7eO655+LYY4+Np59+Oq80YsaMGbnPZZddFldffXUcc8wxBecdECBAgAABAgQIECBAgACBtgQs4N6WjnPlIFDVI7DyAzRx4sQ46qij8ou2eP/f//3fG5NX++23X/z617+OBx54IPedjtOWklv/8R//0WqdK1asiOOOO64xefXhD384brnllrjnnnvi61//em4k1tKlS+M973lPTJ8+vdV6nCBAgAABAgQIECBAgAABAgQIVJpAVY/ASlMHDzzwwNwnjcZ68cUXY4cddmhXjJ999tn41re+lbtn8uTJceedd8aAAQNyx6nu448/Po444oh48MEH45vf/GacddZZMWnSpGbPuOiii3KjrNKJVN/555/feM0hhxwSb33rW+Pwww+PNMXw3HPPjVtvvbXxvB0CBAgQIECAAAECBAgQINCWQE1bJ50jUAYCVT0C68tf/nJu1FNnphJ+97vfjbq6ulyov//97zcmrxpiP3DgwEjlaUvXXXzxxQ2nGr/Xr18fl1xySe44rXf12c9+tvFcw05KYp199tm5w9tuuy0eeuihhlO+CRAgQIAAAQIECBAgQIBAmwLeQNgmj5NlIFDVCazOxietfXX99dfnqtltt93i4IMPbrHKVL7rrrvmzv3hD3+IdF/+dvvtt8eSJUtyRWeccUb06tVyWPIXlr/22mvzq7BPgAABAgQIECBAgAABAgQIEKhYgZYzJRXb3a7t2AsvvBBpofa0pWmCbW0N5+fMmZObqph/7V133dV42HBdY0HeTpqiOGjQoFzJtGnT8s7YJUCAAAECBAgQIECAAAECrQuYQti6jTPlISCB1Yk4PfXUU413pxFYbW355/PvS/fkH+df17S+2traxvWz8u9pep1jAgQIECBAgAABAgQIECCQL+AthPka9stRoKoXce9swGbPnt1YxTbbbNO439JOesthw5Z/XyprOE6jq7baaquGy1r8TvWktxAuWLAg1q5dG/369WvxupYK0+ivtrb58+e3ddo5AgQIECBAgAABAgQIECghAb/jlVAwNKXbBSSwOkG8fPnyxrsHDx7cuN/STsPUv3RuxYoVBZc01LO5OtJNTetpTwIrP4lW0AAHBAgQIECAAAECBAgQIFB2Au37Hc8kwrILsAYXCJhCWMDRvoM1a9Y03tC3b9/G/ZZ28hNNq1evLrikoZ7N1ZFuaquegkodECBAgAABAgQIECBAgAABAgQqRMAIrE4Esn///o13r1u3rnG/pZ003a9hGzBgQMNu7ruhns3VkS5uq56CSls4aJiq2MKpXFGaQjhlypTWTisnQIAAAQIECBAgQIAAgRISaNfveAZglVDkNKUjAhJYHVF7/Z4hQ4Y03t10WmDjidd3Vq5c2VjUdKpgQz2bqyNV0FY9jQ9oZWdz63S1cptiAgQIECBAgAABAgQIEChBgfb8jid/VYIB1KR2CZhC2C6uwovz/2WxucXz8jPjTecpN9STklNLliwpfEiTo4Z6Ro0aVTCdsMllDgkQIECAAAECBAgQIECAAAECFSMggdWJUO6xxx6Nd8+YMaNxv6Wd/PO77757wSVbWk9dXV0899xzuXub1lFQoQMCBAgQIECAAAECBAgQIJAnUGMIVp6G3XIUkMDqRNR22GGHGD9+fK6GO+64o82a7rzzztz5CRMmxPbbb19w7WGHHdZ43FY9Dz74YOMUwqlTpzbeY4cAAQIECBAgQIAAAQIECLQlIH/Vlo5z5SAggdWJKNVkKewTTjghV0MaYXXfffe1WFsqbxiBla5P9+Vvb3nLW2LYsGG5oiuvvDLq6+vzTzfuX3HFFY37J510UuO+HQIECBAgQIAAAQIECBAgQIBAJQtIYHUyuueee27U1m5aC/9Tn/pUrF69uqDGdJzK05auS9c33fr27Ruf/vSnc8VPPfVUXHTRRU0viXvvvTcuv/zyXPkRRxwRBx54YLNrFBAgQIAAAQIECBAgQIAAgZYEmoyjaOkSZQRKWqCq30I4bdq0ePbZZxsDtHDhwsb9VJ4/4imdOPPMMxvPN+zssssu8bnPfS6+8Y1vRJril6b2/eu//mtMmjQpt17VN7/5zXjkkUdyl59//vmx8847N9xa8J3OXXPNNfHMM8/E5z//+Vy7Tj311BgwYEDcdtttceGFF0ZaAysdX3zxxQX3OiBAgAABAgQIECBAgAABAm0JFM4DautK5wiUpkBNNl2t5flqpdneLm1VSkilKXtburVGtXHjxvjwhz8cP/vZz1qt6uyzz45LL700evVqfdBbSpodc8wxMXPmzBbrGTp0aFx11VVx3HHHtXi+s4XpTYoNb0hMbztseDtiZ+t1PwECBAgQIECAAAECBAj0vED+73g7/8sv4pmLT+/5RngigS4SaD2b0kUPqIZqUlIqTe+78cYbc2tipYXd07TA9J3WvLrpppvisssuazN5lZx22mmn3GitNGpr8uTJsdVWW8XAgQNj1113jfPOOy+mT5/ebcmraoiTPhIgQIAAAQIECBAgQKBaBZquxVytDvpdvgJVPQKrfMPWPS3Pz84bgdU9xmolQIAAAQIECBAgQIBATwnk/463y7m/jKe/+/6eerTnEOhyASOwupxUhQQIECBAgAABAgQIECBAoLQErIFVWvHQmvYLSGC138wdBAgQIECAAAECBAgQIECgvARksMorXlrbTEACqxmJAgIECBAgQIAAAQIECBAgQIAAgVISkMAqpWhoCwECBAgQIECAAAECBAgQ6AYBA7C6AVWVPSoggdWj3B5GgAABAgQIECBAgAABAgSKISCFVQx1z+w6AQmsrrNUEwECBAgQIECAAAECBAgQIECAQDcISGB1A6oqCRAgQIAAAQIECBAgQIBAKQnUGIBVSuHQlg4ISGB1AM0tBAgQIECAAAECBAgQIECAAAECPScggdVz1p5EgAABAgQIECBAgAABAgSKImAAVlHYPbQLBSSwuhBTVQQIECBAgAABAgQIECBAoBQFaswhLMWwaFM7BCSw2oHlUgIECBAgQIAAAQIECBAgQIAAgZ4XkMDqeXNPJECAAAECBAgQIECAAAECPSpgCmGPcntYNwhIYHUDqioJECBAgAABAgQIECBAgAABAgS6TkACq+ss1USAAAECBAgQIECAAAECBAgQINANAhJY3YCqSgIECBAgQIAAAQIECBAgUEoC9aXUGG0h0AEBCawOoLmFAAECBAgQIECAAAECBAgQIECg5wQksHrO2pMIECBAgAABAgQIECBAgAABAgQ6ICCB1QE0txAgQIAAAQIECBAgQIAAgXISqK83ibCc4qWtzQUksJqbKCFAgAABAgQIECBAgAABAgT+P3v3ARhVlTZ8/IEEQksIJaElVEOVjhQVEBEURVGXxS6Wxd5X3E/fteu66tp1dVXEZVVkFcXeRUCld+kt9BpCTUIa33muO8O9k0LKlDsz//N98869d+7ce87vZHHmmXOegwACLhIggOWizqAqCCCAAAIIIIAAAggggAACCCCAAAJFBQhgFTXhCAIIIIAAAggggAACCCCAAAIRJcAEwojqzqhsDAGsqOx2Go0AAggggAACCCCAAAIIIIAAAgiEjwABrPDpK2qKAAIIIIAAAggggAACCCCAAAIIRKUAAayo7HYajQACCCCAAAIIIIAAAgggEE0CLEIYTb0dmW0lgBWZ/UqrEEAAAQQQQAABBBBAAAEEEEAAgYgRIIAVMV1JQxBAAAEEEEAAAQQQQAABBBBAAIHIFCCAFZn9SqsQQAABBBBAAAEEEEAAAQQQsAmwDqENg80wFCCAFYadRpURQAABBBBAAAEEEEAAAQQQQACBaBIggBVNvU1bEUAAAQQQQAABBBBAAAEEEEAAgTAUIIAVhp1GlRFAAAEEEEAAAQQQQAABBBAojwATCMujxbluFCCA5cZeoU4IIIAAAggggAACCCCAAAIIIIAAAl4BAlheCjYQQAABBBBAAAEEEEAAAQQQQAABBNwoQADLjb1CnRBAAAEEEEAAAQQQQAABBBDwpwBzCP2pybVCIEAAKwTo3BIBBBBAAAEEEEAAAQQQQAABBBBAoOwCBLDKbsWZCCCAAAIIIIAAAggggAACCCCAAAIhECCAFQJ0bokAAggggAACCCCAAAIIIIBAMAWYQRhMbe4VCAECWIFQ5ZoIIIAAAggggAACCCCAAAIIIIAAAn4TIIDlN0ouhAACCCCAAAIIIIAAAggggAACCCAQCAECWIFQ5ZoIIIAAAggggAACCCCAAAIIuEjg6FEmEbqoO6hKBQQIYFUAjbcggAACCCCAAAIIIIAAAggggAACCARPgABW8Ky5EwIIIIAAAggggAACCCCAAAIhEWD8VUjYuakfBQhg+RGTSyGAAAIIIIAAAggggAACCCCAAAII+F+AAJb/TbkiAggggAACCCCAAAIIIIAAAggggIAfBQhg+RGTSyGAAAIIIIAAAggggAACCCDgRgFyuLuxV6hTeQQIYJVHi3MRQAABBBBAAAEEEEAAAQQQQAABBIIuQAAr6OTcEAEEEEAAAQQQQAABBBBAAAEEEECgPAIEsMqjxbkIIIAAAggggAACCCCAAAIIhKEAqxCGYadRZYcAASwHBzsIIIAAAggggAACCCCAAAIIIIAAAm4TIIDlth6hPggggAACCCCAAAIIIIAAAggggAACDgECWA4OdhBAAAEEEEAAAQQQQAABBBCIPAFWIYy8Po22FhHAirYep70IIIAAAggggAACCCCAAAJRJ3CUCFbU9XmkNZgAVqT1KO1BAAEEEEAAAQQQQAABBBBAwEegoJA07j4k7IaZAAGsMOswqosAAggggAACCCCAAAIIIIBAeQU0fsUorPKqcb6bBAhguak3qAsCCCCAAAIIIIAAAggggAACARJgEFaAYLlsUAQIYAWFmZsggAACCCCAAAIIIIAAAgggEFoBphGG1p+7V06AAFbl/Hg3AggggAACCCCAAAIIIIAAAmEhQAArLLqJSpYgQACrBBgOI4AAAggggAACCCCAAAIIIBBJAgWsRBhJ3Rl1bSGAFXVdToMRQAABBBBAAAEEEEAAAQSiUYARWNHY65HTZgJYkdOXtAQBBBBAAAEEEEAAAQQQQACBEgUKyeJeog0vuF+AAJb7+4gaIoAAAggggAACCCCAAAIIIFBpAaYQVpqQC4RQgABWCPG5NQIIIIAAAggggAACCCCAAALBEmAEVrCkuU8gBAhgBUKVayKAAAIIIIAAAggggAACCCDgMoF8phC6rEeoTnkECGCVR4tzEUAAAQQQQAABBBBAAAEEEAhTAZK4h2nHUW1LgAAWfwgIIIAAAggggAACCCCAAAIIRIFA4dGjUdBKmhipAgSwIrVnaRcCCCCAAAIIIIAAAggggAACNgFGYNkw2Aw7AQJYYddlVBgBBBBAAAEEEEAAAQQQQACB8gswAqv8ZrzDPQIEsNzTF9QEAQQQQAABBBBAAAEEEEAAgYAJFBQG7NJcGIGACxDACjgxN0AAAQQQQAABBBBAAAEEEEAg9AL5hUSwQt8L1KCiAgSwKirH+xBAAAEEEEAAAQQQQAABBBAIIwHiV2HUWVS1iAABrCIkHEAAAQQQQAABBBBAAAEEEEAg8gQKWIUw8jo1ilpEACuKOpumIoAAAggggAACCCCAAAIIRK8AqxBGb99HQssJYEVCL9IGBBBAAAEEEEAAAQQQQAABBI4jwCqExwHiZVcLEMBydfdQOQQQQAABBBBAAAEEEEAAAQT8I5BfcNQ/F+IqCIRAgABWCNC5JQIIIIAAAggggAACCCCAAALBFmAEVrDFuZ8/BQhg+VOTayGAAAIIIIAAAggggAACCCDgUgFyYLm0Y6hWmQQIYJWJiZMQQAABBBBAAAEEEEAAAQQQCG8BViEM7/6L9toTwIr2vwDajwACCCCAAAIIIIAAAgggEBUChYXkwIqKjo7QRhLAitCOpVkIIIAAAggggAACCCCAAAII2AWYQmjXYDvcBAhghVuPUV8EEEAAAQQQQAABBBBAAAEEKiBAAKsCaLzFNQIEsFzTFVQEAQQQQAABBBBAAAEEEEAAgcAJkAMrcLZcOfACBLACb8wdEEAAAQQQQAABBBBAAAEEEAi5ACOwQt4FVKASAgSwKoHHWxFAAAEEEEAAAQQQQAABBBAIF4HCoyRxD5e+op5FBQhgFTXhCAIIIIAAAggggAACCCCAAAIRJ1BQGHFNokFRJEAAK4o6m6YigAACCCCAAAIIIIAAAghEr0BhISOworf3w7/lBLDCvw9pAQIIIIAAAggggAACCCCAAALHFcgngHVcI05wrwABLPf2DTVDAAEEEEAAAQQQQAABBBBAwG8CrELoN0ouFAIBAlghQOeWCCCAAAIIIIAAAggggAACCARbgCmEwRbnfv4UIIDlT02uhQACCCCAAAIIIIAAAggggIBLBQqYQujSnqFaZREggFUWJc5BAAEEEEAAAQQQQAABBBBAIMwFCo+SxD3MuzCqq08AK6q7n8YjgAACCCCAAAIIIIAAAghEiwBJ3KOlpyOznQSwIrNfaRUCCCCAAAIIIIAAAggggAACDgGmEDo42AkzAQJYYdZhVBcBBBBAAAEEEEAAAQQQQACBigiQxL0iarzHLQIEsNzSE9QDAQQQQAABBBBAAAEEEEAAgQAKFJADK4C6XDrQAgSwAi3M9RFAAAEEEEAAAQQQQAABBBBwgQAjsFzQCVShwgIEsCpMxxsRQAABBBBAAAEEEEAAAQQQCB8BRmCFT19R06ICBLCKmnAEAQQQQAABBBBAAAEEEEAAgYgTYBXCiOvSqGoQAayo6m4aiwACCCCAAAIIIIAAAgggEK0CTCGM1p6PjHYTwIqMfqQVCCCAAAIIIIAAAggggAACCJQqUFBY6su8iICrBQhgubp7qBwCCCCAAAIIIIAAAggggAAC/hEoZBVC/0BylZAIEMAKCTs3RQABBBBAAAEEEEAAAQQQQCC4AgWFR4N7Q+6GgB8FCGD5EZNLIYAAAggggAACCCCAAAIIIOBWAVYhdGvPUK+yCBDAKosS5yCAAAIIIIAAAggggAACCCAQ5gIFBYzACvMujOrqE8CK6u6n8QgggAACCCCAAAIIIIAAAtEiwAisaOnpyGwnASw/9mtubq6MGzdOzjrrLGnSpInExcVJnTp1pF27dnLNNdfIrFmzynS3r7/+Wi688EJJSUmxrqHPuq/HKQgggAACCCCAAAIIIIAAAghURKCQHFgVYeM9LhGIdUk9wr4amzdvlnPOOUeWLl3qaIsGtVavXm09xo8fL3feeac888wzUqVKFcd5unPUrAhxww03yOuvv+54bevWrfLxxx9bj+uuu05ee+21Yt/veBM7CCCAAAIIIIAAAggggAACCNgEGIFlw2Az7AQYgeWHLsvPz3cEr7p06SJvv/22zJw5U7799lt54IEHpHbt2tadnnvuOfnHP/5R7F3/+te/eoNX3bt3l4kTJ8qcOXOsZ93XosGt+++/v9j3cxABBBBAAAEEEEAAAQQQQACBkgRYhbAkGY6Hg0AVM+qHLG6V7KnJkyfLyJEjrav069dPZsyYITExMY6rzp8/X/S1vLw8qVevnuzatUtiY48NgFu7dq106NBBNBjWq1cvmT59utSsWdN7jaysLBk4cKDMmzfPet/KlSulTZs23tf9sbFlyxZJTU21LqUjynTqIgUBBBBAAAEEEEAAAQQQQCA8Bezf8Zrd+Lace/KJ8urlPcOzMdQ66gUYgeWHP4FffvnFe5V77723SPBKX+zZs6cMHz7cOi8zM1M0AGUvOjJLg1daXnrpJUfwSo/VqlXLOq7bet7zzz+vmxQEEEAAAQQQQAABBBBAAAEEyiTACKwyMXGSSwUIYPmhYzTPlae0bt3as1nk2T5i6siRI97XdRDcJ598Yu23b99e+vbt633NvqHHNSG8lilTplg5s+yvs40AAggggAACCCCAAAIIIIBASQKFTMAqiYbjYSBAAMsPndS2bVvvVdavX+/d9t1Yt26ddUgTuKelpXlf3rBhg2iidi06TbC04nldh4Kmp6eXdiqvIYAAAggggAACCCCAAAIIIOAVYASWl4KNMBQggOWHTrvkkkskISHButKTTz4pBQUFRa66cOFC+eKLL6zjF198sfd8PbBixQrv+ToCq7Rif93+vtLew2sIIIAAAggggAACCCCAAAIIFJABmz+CMBY4lkU8jBsR6qonJSVZqw5edtllovmwTjrpJLnjjjtER2YdOnTIOvbMM8+ITjXs1q2bPPvss44qa8J0Tzle4nRPknU93/4+z/tLe9ZRW6WV7du3l/YyryGAAAIIIIAAAggggAACCLhIoLzf8QoLiWC5qPuoSjkFCGCVE6yk0y+44AJrhUANTr311lsyevRox6mNGjWShx9+WK677jqpXbu247WDBw969+vUqePdLm7D/l4NjpWn2INf5Xkf5yKAAAIIIIAAAggggAACCLhPoLzf8fILC93XCGqEQBkFmEJYRqjjnZaXlyfvvfeefPbZZ8UmV9+5c6dMnDhRfvrppyKXysnJ8R6rXr26d7u4jbi4OO/h7Oxs7zYbCCCAAAIIIIAAAggggAACCJQmQPyqNB1ec7sAI7D80EOHDx+Ws88+W6ZPny4xMTFyzz33yNVXXy26IqEGp2bPni2PPPKI/Pzzz3LuuefKc889J7fffrv3zjVq1PBu21c09B60bdhXL6xZs6btleNvHm/KoU4h7N279/EvxBkIIIAAAggggAACCCCAAAIhFyjvd7wCViEMeZ9RgYoLEMCquJ33nQ8++KAVvNID48aNc0wf1BFVQ4YMkUGDBsnQoUNl6tSpctddd1n7Xbp0sa4RHx/vvdbxpgVqsMxTjjfd0HOe5/l4+bU85/GMAAIIIIAAAggggAACCCDgfoHyfsdjFUL39yk1LFmAKYQl25TplaMmgj1+/HjrXE3a7pv7ynOR2NhYefTRR63dQjNu0/MePWD/R+d4SfjsEfbyznf21IVnBBBAAAEEEEAAAQQQQACB6BMoZARW9HV6BLWYAFYlO1NzW+3du9e6Svfu3Uu9Ws+ePb2vr1y50rvdsWNH77b9uPegbcP+eocOHWyvsIkAAggggAACCCCAAAIIIIBAyQKMwCrZhlfcL0AAq5J9pCOrPCU/P9+zWeyzJnr3FPv7WrVqJU2bNrVemjZtmueUYp81z5aWZs2aScuWLa1t/g8CCCCAAAIIIIAAAggggAACxxMggHU8IV53swABrEr2Tv369SUhIcG6ysyZM6W0IJY9OKVBK0+pUqWKjBgxwtrVEVazZs3yvOR41uOeEVh6vr6PggACCCCAAAIIIIAAAggggEBZBJhCWBYlznGrAAGsSvZM1apV5ZxzzrGusm3bNnn88ceLvWJmZqb85S9/8b42fPhw77Zu3HHHHeIZlXXrrbdKdna243Xd1+Na9Dw9n4IAAggggAACCCCAAAIIIIBAWQUYgVVWKc5zowABLD/0ygMPPCC1atWyrvTQQw/JeeedJ5MnT5aFCxeKjsp67rnnpFu3brJ8+XLrnMGDB1srEtpvrQng7777buvQvHnz5JRTTpFJkyaJbuuz7uu2lrFjx0paWpq1zf9BAAEEEEAAAQQQQAABBBBAoCwChUfLchbnIOBOgSpmFT3+hP3QN99//71ccsklsmfPnlKvdvrpp8uHH34o9erVK3Kerk44ZswYeeutt4q85jlw7bXXyuuvvy468svfRVdA9KxsqKsd2ldH9Pe9uB4CCCCAAAIIIIAAAggggEBgBezf8Zrd+La0btlcpt8zKLA35eoIBEjA/1GQAFXU7Zc944wzrPxUTz75pJx22mmSlJQk1apVk5o1a4rmuxo1apRMmTJFNNBVXPBK26dBqXHjxskXX3xh5cTSxO7Vq1e3Erxrzqsvv/xS3nzzzYAEr9zuS/0QQAABBBBAAAEEEEAAAQQqJ8AUwsr58e7QCjACK7T+rrq7PTrPCCxXdQ2VQQABBBBAAAEEEEAAAQTKLWD/jqcjsFJTU2TmvYPLfR3egIAbBBiB5YZeoA4IIIAAAggggAACCCCAAAIIBFiAEVgBBubyARUggBVQXi6OAAIIIIAAAggggAACCCCAgDsECkmB7Y6OoBYVEiCAVSE23oQAAggggAACCCCAAAIIIIBAeAkwAiu8+ovaOgUIYDk92EMAAQQQQAABBBBAAAEEEEAgIgUIYEVkt0ZNowhgRU1X01AEEEAAAQQQQAABBBBAAIFoFig8Gs2tp+3hLkAAK9x7kPojgAACCCCAAAIIIIAAAgggUAYBRmCVAYlTXCtAAMu1XUPFEEAAAQQQQAABBBBAAAEEEPCfQAFJ3P2HyZWCLkAAK+jk3BABBBBAAAEEEEAAAQQQQACB4AsUMocw+Ojc0W8CBLD8RsmFEEAAAQQQQAABBBBAAAEEEHCvACOw3Ns31Oz4AgSwjm/EGQgggAACCCCAAAIIIIAAAgiEvYDOIDzKNMKw78dobQABrGjtedqNAAIIIIAAAggggAACCCAQdQIkco+6Lo+YBhPAipiupCEIIIAAAggggAACCCCAAAIIlC7ANMLSfXjVvQIEsNzbN9QMAQQQQAABBBBAAAEEEEAAAb8KFBb69XJcDIGgCRDACho1N0IAAQQQQAABBBBAAAEEEEAgtAKMwAqtP3evuAABrIrb8U4EEEAAAQQQQAABBBBAAAEEwkqAHFhh1V1U1iZAAMuGwSYCCCCAAAIIIIAAAggggAACkSxQWGiWIqQgEIYCBLDCsNOoMgIIIIAAAggggAACCCCAAAIVEWAKYUXUeI8bBAhguaEXqAMCCCCAAAIIIIAAAggggAACQRBgBFYQkLlFQAQIYAWElYsigAACCCCAAAIIIIAAAggg4D4BRmC5r0+oUdkECGCVzYmzEEAAAQQQQAABBBBAAAEEEAh7AZK4h30XRm0DCGBFbdfTcAQQQAABBBBAAAEEEEAAgWgTKCyMthbT3kgRIIAVKT1JOxBAAAEEEEAAAQQQQAABBBA4jgBTCI8DxMuuFSCA5dquoWIIIIAAAggggAACCCCAAAII+FeAKYT+9eRqwRMggBU8a+6EAAIIIIAAAggggAACCCCAQEgFCo8eDen9uTkCFRUggFVROd6HAAIIIIAAAggggAACCCCAQJgJMAIrzDqM6noFCGB5KdhAAAEEEEAAAQQQQAABBBBAILIFCGBFdv9GcusIYEVy79I2BBBAAAEEEEAAAQQQQAABBGwCTCG0YbAZVgIEsMKqu6gsAggggAACCCCAAAIIIIAAAhUXYARWxe14Z2gFCGCF1p+7I4AAAggggAACCCCAAAIIIBA0AUZgBY2aG/lZgACWn0G5HAIIIIAAAggggAACCCCAAAJuFSgodGvNqBcCpQsQwCrdh1cRQAABBBBAAAEEEEAAAQQQiBgBphBGTFdGXUMIYEVdl9NgBBBAAAEEEEAAAQQQQACBaBVgCmG09nz4t5sAVvj3IS1AAAEEEEAAAQQQQAABBBBAoEwCjMAqExMnuVCAAJYLO4UqIYAAAggggAACCCCAAAIIIBAIgYKjRwNxWa6JQMAFCGAFnJgbIIAAAggggAACCCCAAAIIIOAOgYICAlju6AlqUV4BAljlFeN8BBBAAAEEEEAAAQQQQAABBMJUIL+QZQjDtOuivtoEsKL+TwAABBBAAAEEEEAAAQQQQACBaBHIYwRWtHR1xLWTAFbEdSkNQgABBBBAAAEEEEAAAQQQQKB4AZK4F+/CUfcLEMByfx9RQwQQQAABBBBAAAEEEEAAAQT8IpBXwBRCv0BykaALEMAKOjk3RAABBBBAAAEEEEAAAQQQQCA0AvmFJHEPjTx3rawAAazKCvJ+BBBAAAEEEEAAAQQQQAABBMJEIJ8RWGHSU1TTV4AAlq8I+wgggAACCCCAAAIIIIAAAghEqAAjsCK0Y6OgWQSwoqCTaSICCCCAAAIIIIAAAggggAACKpDPKoT8IYSpAAGsMO04qo0AAggggAACCCCAAAIIIIBAeQXyCkniXl4zzneHAAEsd/QDtUAAAQQQQAABBBBAAAEEEEAg4AIFjMAKuDE3CIwAAazAuHJVBBBAAAEEEEAAAQQQQAABBFwnkMcqhK7rEypUNgECWGVz4iwEEEAAAQQQQAABBBBAAAEEwl4gj1UIw74Po7UBBLCitedpNwIIIIAAAggggAACCCCAQNQJ5OQVRF2baXBkCBDAiox+pBUIIIAAAggggAACCCCAAAIIHFeAANZxiTjBpQIEsFzaMVQLAQQQQAABBBBAAAEEEEAAAX8LZOcyAsvfplwvOAIEsILjzF0QQAABBBBAAAEEEEAAAQQQCLlANlMIQ94HVKBiAgSwKubGuxBAAAEEEEAAAQQQQAABBBAIO4HsvMKwqzMVRkAFCGDxd4AAAggggAACCCCAAAIIIIBAlAjkMIUwSno68ppJACvy+pQWIYAAAggggAACCCCAAAIIIFCsAFMIi2XhYBgIEMAKg06iiggggAACCCCAAAIIIIAAAgj4QyArN98fl+EaCARdgABW0Mm5IQIIIIAAAggggAACCCCAAAKhETh0hABWaOS5a2UFCGBVVpD3I4AAAggggAACCCCAAAIIIBAmAgdzCGCFSVdRTR8BAlg+IOwigAACCCCAAAIIIIAAAgggEKkCWSaJe14BKxFGav9GcrsIYEVy79I2BBBAAAEEEEAAAQQQQAABBHwEGIXlA8JuWAgQwAqLbqKSCCCAAAIIIIAAAggggAACCPhH4GBOnn8uxFUQCKIAAawgYnMrBBBAAAEEEEAAAQQQQAABBEItcCCbPFih7gPuX34BAljlN+MdCCCAAAIIIIAAAggggAACCIStwAFGYIVt30VzxQlgRXPv03YEEEAAAQQQQAABBBBAAIGoEziQzRTCqOv0CGgwAawI6ESagAACCCCAAAIIIIAAAggggEBZBTKzCGCV1Yrz3CNAAMs9fUFNEEAAAQQQQAABBBBAAAEEEAi4wN7DRwJ+D26AgL8FCGD5W5TrIYAAAggggAACCCCAAAIIIOBigT2Hcl1cO6qGQPECBLCKd+EoAggggAACCCCAAAIIIIAAAhEpkHGYAFZEdmyEN4oAVoR3MM1DAAEEEEAAAQQQQAABBBBAwC7AFEK7BtvhIkAAK1x6inoigAACCCCAAAIIIIAAAggg4AeBDKYQ+kGRSwRbgABWsMW5HwIIIIAAAggggAACCCCAAAIhFCAHVgjxuXWFBQhgVZiONyKAAAIIIIAAAggggAACCCAQfgI6hbCw8Gj4VZwaR7UAAayo7n4ajwACCCCAAAIIIIAAAgggEG0CGrvam0Ui92jr93BvLwGscO9B6o8AAggggAACCCCAAAIIIIDAcQSqVnGesGN/jvMAewi4XIAAlss7iOohgAACCCCAAAIIIIAAAgggUFmBBnXiHJcggOXgYCcMBAhghUEnUUUEEEAAAQQQQAABBBBAAAEEKiPQKMEZwNq+P7syl+O9CARdgABW0Mm5IQIIIIAAAggggAACCCCAAALBFUiO9w1gMYUwuD3A3SorQACrsoK8HwEEEEAAAQQQQAABBBBAAAGXCyTF13DUkCmEDg52wkCAAFYYdBJVRAABBBBAAAEEEEAAAQQQQKAyAr5TCLcxhbAynLw3BAIEsEKAzi0RQAABBBBAAAEEEEAAAQQQCKZAsk8OLEZgBVOfe/lDgACWPxS5BgIIIIAAAggggAACCCCAAAIuFiguB9bRo0ddXGOqhoBTgACW04M9BBBAAAEEEEAAAQQQQAABBCJOINknB9aR/ELJzMqLuHbSoMgVIIAVuX1LyxBAAAEEEEAAAQQQQAABBBCwBBrUiZOqVZwY28mD5QRhz9UCBLBc3T1UDgEEEEAAAQQQQAABBBBAAIHKC1SLqSpJ8XGOC23fl+PYZwcBNwsQwHJz71A3BBBAAAEEEEAAAQQQQAABBPwk0KRuTceVGIHl4GDH5QIEsFzeQVQPAQQQQAABBBBAAAEEEEAAAX8INE2s4bjMln3Zjn12EHCzAAEsN/cOdUMAAQQQQAABBBBAAAEEEEDATwKp9Wo5rrRlLwEsBwg7rhYggOXq7qFyCCCAAAIIIIAAAggggAACCPhHIKW+M4C1aW+Wfy7MVRAIggABrCAgcwsEEEAAAQQQQAABBBBAAAEEQi3Q3CeAtTmTAFao+4T7l12AAFbZrTgTAQQQQAABBBBAAAEEEEAAgbAVSK3nTOK+LytPDuTkhW17qHh0CRDAiq7+prUIIIAAAggggAACCCCAAAJRKtDMBLCqVHE2fjPTCJ0g7LlWgACWa7uGiiGAAAIIIIAAAggggAACCCDgP4G42BhpnOBciZAAlv98uVJgBWIDe3mujgACCCAQiQIFhUdlX1au7MvOM895sj/bbJvnw0fyJSu3QLLzzMM8H8kvlKNHj4o53Tx+f46LrSrWo1qM9ZxQI1bq1a4u9WtVt54b1omThnWqm18HfX4ejERI2oQAAggggAACCARZINXkwdq+P8d7182sROi1YMPdAgSw3N0/1A4BBBAIuoAGobbuy7Y+2OzY//vz9n05svNgjuw+eMR6ZBzOFQ1iBarUqFZVNMmoPvRDVttG8dKpaYL1XMMEvigIIIAAAggggAACFRNIrVdL5mzY630zKxF6KdhwuQABLJd3ENVDAAEE/C1QaAJPOw7kSHrGYdmYkWU9Nu09LFsys63HXhOcCnXJySuU1TsPWQ97XWKqVpG05DrSNSVRTj6hgfRr3UCSfYbB289nGwEEEEAAAQQQQMApwEqETg/2wkeAAFb49BU1RQABBMolcCS/QNbvPmyCQAdl3a5Dsm7PYetZA1caIArHoqO+Vu44aD0mzdtsNaFNUm055YSGMqRjI+lrAlrVYkjvGI59S50RQAABBBBAIDgCqfWdKxEyAis47tyl8gIEsCpvyBUQQACBkApojikdUbV82wHrsWLHAVllgjzpZnRVIKf5eRpdq3qMJNasJgn6qFFNapj9WmaaX03zrLmuqppRU+b/mxzocnEAAEAASURBVMfvOa3yCgrliAmgaX6sHJMrS5du1imJmeahObVMc8pV1pkgnT4mzNwoibWqyVATyBp2YhMrqFXd3J+CAAIIIIAAAgggcEzAdwTWFpMDS0fo62c2CgJuFiCA5ebeoW4IIICAj4AnWLV4835ZsmWfeeyXZdv2S6ZJoO7vUt8kVtdVahrX/f3R1DzrdL2k+DhJMonW9VkDRrqajb+KBtx2mVxbm0zwTX8N1FVxNDi1fPsB2WBGkB2vaCL5/87bYj0amPpf0L2ZXHRSqqSZHFoUBBBAAAEEEEAAAbHyi9odcs2Pi5rrtEld58gs+zlsI+AGAQJYbugF6oAAAgiUIKCjkhabQJUGrPRZg1Z7DvknR5WOnGrRoLa0MEnSWzT4PVl6Sr2akmISezZLrGmNoCqhWgE7rDmu9MOTPvqY6YD2csgkl19hAlmLN++TWeszZPb6vXLQHCup6KiuN3/eYD1OallPLu/bQs7u3IQphiWBcRwBBBBAAAEEokIg2fwIWdOMltdVoz1FfygkgOXR4NmtAgSw3Noz1AsBBKJOQEdX6YeHeemZMm/jXut5fRlGHR0PSoNRaY3qSJukOtLa5IuynhvWtkZQVfnftL7jXcMNr9eJi5WTWta3Hn/q31ryza+Fv5lpk7+s3SPfLNthjUYrqZ5zjak+nvp6lVxzaiu52IzKqm2uR0EAAQQQQAABBKJNQD//tTSfBfWHQU/RvKknt2no2eUZAVcK8Ondld1CpRBAIFoEdKrcr+v2mEeG9dhz6EiFmx5vAjIdmiZIxyYJ0r5xvLQ1D12xL97kpYrEEmuStXdLTbQeNw86wZpuqIGsL5dulwWb9hXb5K37suXRz5fLC9+vliv6tZBrTmklDcx0SAoCCCCAAAIIIBBNAvqjpj2AVZZUDdHkQ1vdKUAAy539Qq0QQCBCBbJy82WmCVZNXbVLpq3ebYIu2RVqaXyNWOmSUtc8EqWree7UtK6Z+ldTwmlEVYUaXsqbUs1USB2ZpY91uw+ZPFibZfL8rWbKZdGg4IGcfHll6joZ/0u6jD65pVxn3lPP5MyiIIAAAggggAAC0SDQ2ozAspf15rMTBQG3CxDAcnsPUT8EEAh7gY0Zh+XHlbusx+wNeyXXrL5XnqIr+XVu9r9gVWpdE7BKFF09hpViSlbUaZL3Dusgfx7STr5dvsMKVM3fmFnkDVm5BfLqT+tkwq/p1tTCMQNaWyspFjmRAwgggAACCCCAQAQJ6Agse2EEll2DbbcKEMBya89QLwQQCFsBXUlPgyXfr9gpP5iHrqJXnqKJNXuZpOO9WtS3njuYKYHVzHQ5SvkFqpvg3/AuTa3HvPS98q/p6+W75TuLXOiwCWS99ONaeWfWRrltcJpc1qeF6HspCCCAAAIIIIBAJAq0aljH0azNmdnWj6x8/nGwsOMyAQJYLusQqoMAAuEpoEGruSZAovmXvvpth+w+WHTaWkkta2CmrvVr08BKnKnPLc2KgNE8FbAkp8oe72USwOtj7a5D1qirjxduEdNtjpKZlScPf7Zc/m1GZN1zVnsZdmJj+sIhxA4CCCCAAAIIRIJAK58phPpZdtPeLDnB5E+lIOBWAQJYfu6ZPXv2yFtvvSWffPKJrFu3TjIzM6VBgwaSmpoqAwYMkAsvvFD69etX6l2//vpref3112XOnDmye/duSUpKkt69e8t1110nZ511Vqnv5UUEEAiuwHKzCt5HC7bIJ4u3lTloFVO1ihldVU9Oa5dsHklWwnUCVsHrN/1g9syornLzoDbWqKspi7aKWQDSUdJNcv2b3l0gPZonyv3DO0r35vUcr7ODAAIIIIAAAgiEs0DdmtWkYZ3qJldorrcZmgeLAJaXgw0XClQxy7b7fGx3YS3DpEoffPCB3HjjjZKRkVFijUeMGCFTpkwp9nXtihtuuMEKXhV7gjmoQazXXnstICMCtmzZYgXa9N6bN2+WlJSUkqrBcQSiWkBHV31igh6TF2x1rN5SGop+QBhkAlaD2ifLKSc0FP3QQHGHwNpdB+Xpb1bJN8uKTi301PD8bk2tEVlNE2t6DvGMAAIIIIAAAgi4XqC073ijXpspc8wMAk8Ze2Y78wPfCZ5dnhFwnQAjsPzUJRMmTJCrr75aCgsLJTk52QpknXrqqVK/fn3ZsWOHNRrrs88+k2rVSv7S+te//tUbvOrevbvcc8890qZNG+u9Tz31lCxcuNB6XUdkPfbYY36qOZdBAIGyCOQXFMpPq3ZbK9tpQvZ837lnxVykfeN4GdqxkQzu0MhKwk7S9WKQXHDohOR4+dcVvURzZD3+5QpZuGlfkVpNWbTNCnDpqC1d5bBGtZgi53AAAQQQQAABBBAIJ4G2jes4Alirdx4Mp+pT1ygUYASWHzp9xYoVogGnI0eOSP/+/UUDVXXr1i32yrm5uVK9etGl2teuXSsdOnSQ/Px86dWrl0yfPl1q1jz2S39WVpYMHDhQ5s2bJ7GxsbJy5UoruFXsTSp4sLTofAUvydsQCHuBbfuyrcTeH8zfUqYpgppw/ZzOjWVY5yaiK+FRwktAR8J+uXSHPPXNStlophEWV3QFSJ1WeEaH5ICMhi3unhxDAAEEEEAAAQQqIlDad7z/zEyX+z9Z5r2s/vj69R0DvPtsIOA2gZCOwJo6dao1nW7x4sWiuaOys7NNHpKSZzRqjhjNK+W2cuutt1rBq4YNG8pHH31UYvBK611c8EqPP/fcc1bwSrdfeuklR/BKj9WqVcs6rvmzNMj1/PPPW/v6GgUBBPwroP8OzdmwV942iby/NSvWaVLL0kqTujXkgu7N5MIeKeQNKA0qDF7T/86c06WJnNExWSb8ulFe/HGNHMzJd9RcE5yOmTBPBrZNkgfP7SitCVQ6fNhBAAEEEEAAgfAQaNc4wVHRdSYHVp6ZdcDq1w4WdlwkEJIA1q5du+Tiiy+WadOmWRQlBa30i4T9NTcmOdaRUD/88IPVjltuuUU0iFXeom3UpO9a2rdvL3379i32Enq8Xbt2smrVKivw9+KLL/Lrf7FSHESgYgL6H+zPl2yT16dvOG5uqxrVqsrZJzaRkT1TpG/rBsL0wIqZu/VdcbExMmZAaxOUbCbPfrdaJs7ZVGTFwmmrd8uZz0+Xa05tJbeeniZ14kLyn1S3ElIvBBBAAAEEEHC5QLtG8Y4a5hUclQ17Dktbn+OOk9hBIIQCQf+0nZeXJ8OGDZNFixZZwSmdete0aVP54osvrGDM5Zdfbq3ct2DBAtm2bZt1rEePHnLiiSeGkKnkW2vidk/54x//6Nm02qCjyjQHlq5CWFrZsGGDbN261TpFpwmWVvR1DWDpUND09HRp1apVaafzGgIIlEHg8JF8mTR3s4z72fxv0UwZLK10S02UUb1SZXjXJpJQo+ScdqVdg9fCR6BBnTh5/ILOcknv5vLQp8tk3sZMR+X1g96/pq03K1FulfvObi/nd2vGDwsOIXYQQAABBBBAwK0CdWtVk8YJNWTHgRxvFVfuOEgAy6vBhtsEqga7Qm+//baVjFzvO378eJk/f778/e9/91bj3//+t3z66adWgObjjz+WJk2ayPLly2X48OHW+d4TXbIxa9Ysqyaa80pzWL377rvStWtXK3DVtm1ba0RW69at5eGHH5ZDhw4VW2vNoeUpOgKrtGJ/3f6+0t7DawggULzA/uw8ef771XLy33+URz5fXmLwqlb1GLmibwv5xuQEmHLzKXJpn+YEr4onjdijJzarKx/c0E+ev6ibJMfHFWmnrkx556TFcvHrs4QEqEV4OIAAAggggAACLhVoa/Je2ctqE8CiIOBWgaCPwJo8ebJlcdZZZ8no0aNLdRkxYoQ18kqTml911VXSpUsXSUtLK/U9wX5Rg2taWrZsKZoL65VXXilSBR1h9dBDD8mHH34o33zzjTXizH7S5s2bvbspKSne7eI2UlNTvYft7/MeLGVDR22VVrZv317ay7yGQMQIHMjJk/E/p5sRV+vlgE9+I3sjWzSoJaP7tZSRvVIIWNlhonRbp7Gfb3KdnWFWlnzphzXy1i8bTJ4IZ3602SZ32tkvzJCrTm4pt5+RJvGM0ovSvxaajQACCCCAQHAEKvsdTxO3TzdpETxFR2BREHCrQNADWJqwXb8E6FTB4ormg7LnumrTpo3cfvvt8sgjj8gLL7wgL7/8cnFvC9mxvXv3WvfWXFjatsTERGtE2YUXXigJCQmydOlSeeCBB+Srr76S3377TXSa4YwZM0y+nGOD3w4ePPaPRJ06pa9aVrt2bW9bSxrR5T3BZ8Me/PJ5iV0EokIgKzdfxs3YIG/MKD1w1aN5otwwsI1ZZa4Rua2i4i+jfI3UXFf3nt1BRp2UKo+ZkXtTVx370KdXyjdJ/98001E/WbxN7h3W3krwb//vWvnuxtkIIIAAAggggEDJApX9jueb72rF9gMl34xXEAixwLEoSpAq4gn42HM32Vfmy8oqumz54MGDrdp99913Qapl2W9z+PBh6+QjR45ITEyMFai6/vrrJSkpSeLi4kRHj33++edW3i898ddff7VWKrTfISfn2Jxju4X9HM+2XtNTdNVGCgIIHF8g3yRnf2/2Jhn49E/yjEnIXdKoqzM6JMt/r+8nk288WYZ2akzw6vi0UX1GG7P64Pire8sbV/aSZok1i1jotMK7/rtY/vjaTPlt6/4ir3MAAQQQQAABBBAItUCnps6VCDUfbMahI6GuFvdHoFiBoI/A0gBNfn6+2AM1OlLJUzSZueaOspcaNWpYu55E5/bXQr2tdfMEsXR0VXErCOpoq6efftoKbml9J06cKCNHjvRW3dM+PZCbm+s9XtyGBso8pWbNol+YPK8V93y8KYc6hbB3797FvZVjCISlgI7o/HHlLnniq5WydlfxOei0Yed0biK3Dj5B2vssJRyWjabSQRcYYqYUnnpCQ3ll6lqzguV6yTUBU3vRxO/nvfyzXG7yqP15SDvRhKkUBBBAAAEEEEDAHwKV/Y6XllxHdHXtnLxjn1+Wmh/eTmuX7I/qcQ0E/CoQ9ABW8+bNRafb7dy509uQRo0aSXx8vJXkfPbs2UUCWMuWLbPOdeMUDK23J4ClqyuWVDp16iTNmjWzVhucO3eu4zS9hqccb1qg5156/vGmG3qu6Xk+Xn4tz3k8IxAJAroEsK4aN802p9+3XWd3biy3DU4jcOULw365BWqaRP93n9lORvZMkYc/W1ZkWqGZVSgTZm6UL5Zsl/9nphX+oUcKI/zKrcwbEEAAAQQQQMBXoLLf8WJjqkqnpnVlvm2lZR05TgDLV5p9NwgEfQphjx49rHYvXLjQ0f4BAwaIjpbQPFf2UUb79++Xp556ysqL1bFjR8d73LBjn3N8vH88POfu2rXLUXX7+46XhM8eYfdcz3ExdhCIcoHs3AL5xzer5MznppcYvBrYNkm+vK2//POyngSvovzvxd/Nb9mwtjWt8E0zrTC1ftFRshmHc2Xsh0tk5Gu/ytItTCv0tz/XQwABBBBAAIHyC3Q2qy3byxI+o9g52HaRQNADWJrPSgNVX3zxhYPhhhtusPY1sNW5c2cZO3as3Hzzzda2jtjScuWVV1rPbvo/OrLKUwoKCjybxT57Xo+NdQ58swfmPG0t9gLmoP31Dh06lHQaxxGISoHvl++UM56dJi+bqVy+07gUROf4v3NtH/n3Nb2lo898/6gEo9EBE9CVCr+7c6CZMtjWGpbve6MFm/bJea/8LPd+tIQ8E7447COAAAIIIIBAUAW6pDgDWDqFkIKAGwWCHsA6//zzRacR6kijdevWeU3OOeccueaaa6zg1tq1a+XZZ5+V1157zTpPTxo6dKjceOON3vPdsqEjxzzF3h7PMfvz+vXrrV2dSmgvmtC+adOm1qFp06bZXyqyPX36dOuYXqNly5ZFXucAAtEooIkmb3lvgfxpwjzRxJO+JTk+Tp75Y1f57JZT5dS0hr4vs49AQARqVIsxudXS5Pu7BsqZnRoVuYf5LUcmztksg/7xk7XIQKHOM6QggAACCCCAAAJBFvANYG3fnyO7Dh5baCzI1eF2CJQoEPQAVmJioqSnp8vGjRulTZs2joq9+eab8sYbb0ifPn2kdu3a1ip+OhpLE6B/9tlnJl9I0KvrqF9xO+edd55Uq/Z7Qt6PPvqouFOsYxqYysjIsLb79+/vOE9ze40YMcI6piOsZs2a5Xjds6PHPSOw9Hw35gTz1JVnBIIl8OXS7TLUTBf83OQW8i0xVavImP6t5Ic/D5Q/mNxEVc0+BYFgC6TUqyX/uqKXmVp4krRsUKvI7XVVzPs+XioXvvorqxUW0eEAAggggAACCARaoFXDOlLb5PO0F1ZQtmuw7RaBKmY6X9j85Kur5DVp0sQtdt563HTTTfLqq69a+7rC4MUXX+x9TTcOHjwoOlJr0aJF1vE5c+bISSed5Dhn9erVotMRdYXGXr16iY60sq8ymJ2dbV1j3rx5olMQly9fLmlpaY5rVHZHR8V58mppri17bq7KXpv3I+BvgX1ZufJ/U36zkmIXd+2+revLIyNOlLaNji2SUNx5HEMgmAJH8gtk3M8b5OUf10qWydfmWzTGymqFvirsI4AAAggggEBFBcr6HW/Uv2bKnA17vbe544w0ueOMtt59NhBwg0BAhzRNnTrVb23ctGmTFcDx2wX9eKGHH37Ymhapl7ziiivk1ltvFW37/Pnz5e2335bevXt7g1c6DdI3eKXva9u2rdx99926KRqkOuWUU2TSpEnWtj7rvh7XovnB/B28si7M/0EgTARmrc+QYS/MKDZ4lVirmjVdcOKYvgSvwqQ/o6macbExctNpJ8iPfz5Nzu36+9Rxe/s9qxUOfvYn+WDeZmFaoV2HbQQQQAABBBAIlEAXn0TuLDYTKGmuWxmBgI7Aio+Pl6+//toKvlSmkppb6vTTT7fyYXkSoVfmeoF474oVK0SnE2r+rpKK5vjSvF6eKYe+5xUWFsqYMWPkrbfe8n3Ju3/ttdfK66+/HpDplGWNznsrwwYCQRbILyiUF39YIy+ZJO3FjR0dahJnP3bBiZIcXyPINeN2CFRMYMaa3fLAJ8tkw57DxV6ge/NEeez8E63lrYs9gYMIIIAAAggggEApAmX9jvfJoq1y+/u/zxjSyyWZHLJz7htM2ppSbHkp+AIBHYF1+PBh0eTss2fPrnDLNDCk0+90Spubi64IqFMENV+X5vCqX7++VK9e3ZqGd9FFF8mPP/4o48aNKzF4pW3THF96jq7QqDmuNLG7XkOfdf/LL78UzRPmxlxgbu4b6hYZAntMovYrxs2RF83UK9/glY66euHibibPUE+CV5HR3VHTiv5pSfL1Hf1l7Jntil2tcKGuVvjyL/Lk1yslJ6/olMOogaKhCCCAAAIIIBBQgS4piY7r7z54RHYeOOI4xg4CoRYI6AisuLg4K6dTQkKCfP/999KzZ89ytVcDQmeeeabs3r3bet/o0aNl/Pjx5boGJ5ddoKzR+bJfkTMR8I/Asm375boJ84tdYfDkNg3k2VHdpHFdRl35R5urhEpg894seeTz5fLd8p3FVkETwD9xYRfpZ/7mKQgggAACCCCAQFkEyvodT9MWdH3kWzloFpfxFP1x+MxOjT27PCMQcoGAjsB6//33JSYmRvbv3y9Dhw6VJUuWlLnBmuh88ODB3uDV9ddfT/CqzHqciEDkCHxlVhkc+erMIsGrWJPt+i9ntZf/XNuH4FXkdHdUtyS1fi1540qzWuFVxa9WmJ6RJZe8MUvu/WiJ7M/Oi2orGo8AAggggAAC/hXQ1bo7++TBYiVC/xpztcoLBDSAdcEFF8g777xjBbEyMzPljDPOkGXLlh231jNmzLACXvoeLXfeead3lb/jvpkTEEAgIgT0V6DnvlstN767QLJ9pk41MaOtJl3fT248rY3E6LJtFAQiSGBQ+2T55s4BctvgNKkWU/Tve+KczTLk2Wny9W87IqjVNAUBBBBAAAEEQi3gG8BaunV/qKvE/RFwCAQ0gKV3GjVqlLUSn+ZtysjIsEZVrVq1ylEJ+45ONTz77LPlwIED1uH/+7//k2eeecZ+CtsIIBDhAnkmWfud/10kL5iE7b6lV4t68uktp0pP80xBIFIFdLXCu4a0lS9u6y+ayN237DJ5KW54Z77cNWmRGerPaCxfH/YRQAABBBBAoPwCJ/qMwNKVCI/6Jp8t/2V5BwJ+Ewh4AEtretlll1nJx3Vb81np1EBdWdC3fP7559ZKfpr8Xctjjz0mjz76qO9p7COAQAQLaKLqm8yoq08WbSvSylG9UuTdMX2sVVGKvMgBBCJQoG2jePnwhpPloXM7Sq3qMUVa+NHCrTLshRkyN31vkdc4gAACCCCAAAIIlEegS0pdx+kZh3Nl+/4cxzF2EAilQFACWNrAq666Sl577TWrrdu3b5fTTz9d0tPTrX39Px9++KGMHDlScnJ+/x+Ijrq67777vK+zgQACkS+QlZsvYybMK5LEWmcJPmi+wD/5hy6iI1MoCESTgE6TveqUVvKtmVY4sG1SkaZvycyWi/41U/7xzSrR0YsUBBBAAAEEEECgIgLNTT7OhBqxjrcyjdDBwU6IBYIWwNJ2jhkzRl588UVrGKKuhqBBrM2bN8t//vMfufTSSyU3N1eqVKli5bvSvFcUBBCIHoEDZhrU6LfmyIw1exyNrlGtqowzSa2vNl/g9d8HCgLRKpBSr5a8ffVJZtXNrhIf5/xwaVLGyctT18ooE8jS1QwpCCCAAAIIIIBAeQX0s3Zx0wjLex3ORyBQAkENYGkjbr75Ziunlc6l3bhxo/Tp00euvvpqyc/Pt5K9jx8/XnTFQQoCCESPgK6odvmbs800qN8XbvC0vI75kj7hmj4yqF2y5xDPCES1gH6wvLBHinx1R3/p3ap+EYuFm/bJOS/OkB9X7izyGgcQQAABBBBAAIHjCZDI/XhCvB5KgaAHsLSxOrrqiSeesEZi7dy5UwoLCyU2NlbeffddufLKK0Ppwb0RQCDIAkfyC+T6/8yTJSZJpL0k1qom75l8V8V9SbefxzYC0Sigo7Emjukr95zVTmJ9VuI8kJMvf/r3PHlzxnoSr0bjHwdtRgABBBBAoBICnX3yYP1mViIkkXslQHmrXwWccxD8emmRTZs2lXjFSy65xErk/uabb4quUKg5r/r27Vvqe/RizZs3L/GavIAAAuElUGjmPf35v4tl1npnAuqGdeLk3T/1kXaN48OrQdQWgSAKaG6sm047QfqfkCS3Tlwg6RnHpg7qlMLHvlgh63YflkdHdJLYmJD8XhVEDW6FAAIIIIAAAv4Q8B2BpYncdx44Io3r1vDH5bkGApUSqGKiqeZjbmCKBqb8mbNGr6VTDSmBEdC8ZKmpqdbFNTdZSkpKYG7EVRH4n8DjXyyXN2ZscHgkxcfJpOv6SuukOo7j7CCAQMkCB00OuXs/WiqfL9le5KTB7ZPl5Ut7SM1iVjEscjIHEEAAAQQQQCCiBMr7HU9/YO704DeSbVYG95R3ru0jp6Y19OzyjEDIBAL+k6zGx/z5CJkUN0YAAb8K6PQm3+BVbfMFe7xJ2E7wyq/UXCwKBOJrVJOXLukudw9tW6S1P6zcJZe8MUv2ml9QKQgggAACCCCAQGkCVc0I7zbJtR2nrN110LHPDgKhEgjoFMLRo0eHql3cFwEEXCzw06pd8viXKxw11Dw+r17es8jKJ46T2EEAgRIFdJTyLaenSRszevGOSYvkSH6h99xFm/fJpSaI9b4Z3ZhYq7r3OBsIIIAAAggggICvQFpyvPy29YD38Nrdh7zbbCAQSoGABrB0RUEKAgggYBfYsT9H7jJ5r3wnLz/5hy4yoG2S/VS2EUCgAgLDOjcRnYp7rUnkrit8esrKHQflyrfmWPnldMQWBQEEEEAAAQQQKE7ghGRnKo81OwlgFefEseALBHwKYfCbxB0RQMCtAgVmTv0dkxYWmcqk057+0JOca27tN+oVfgK9WtaXD2/oJ019Eq7qap83vrNAcm2js8KvddQYAQQQQAABBAIpoKO57WUdI7DsHGyHUCDsA1hr1qyR1q1bS5s2bULIyK0RQKAsAi/9uKbIioNDOjaSmwedUJa3cw4CCJRDIK1RvEy6vp808Qli/bx2j9zz4WLRJK0UBBBAAAEEEEDAVyCtkTOAtedQrmSSS9OXif0QCIR9ACs3N1fS09OtRwj8uCUCCJRRYPb6DHnxhzWOs5sl1pSnR3bx62qljhuwg0CUC6TWryXv/KmPNKjtzHs1ZdE2eea7VVGuQ/MRQAABBBBAoDiBFubzQ7WYKo6XyIPl4GAnRAJhH8AKkRu3RQCBcggcyS+Qez9eKvYBHzEmafuLl3QjoXQ5HDkVgYoI6DSAt8zqnjWrxTje/srUdfLDip2OY+wggAACCCCAAAKxMVWlZQPnSoTrdpEHi7+M0AsQwAp9H1ADBCJe4M0ZG2T97sOOdt41pK30bFHfcYwdBBAIjEDX1ET55+U9RAPH9vLnDxbL1n3Z9kNsI4AAAggggAAC0rKhM4C1jc8L/FW4QIAAlgs6gSogEMkCWzKzRHNf2UvXlLpyw0Dy1tlN2EYg0AKD2iXL/ed0cNxmX1ae3D5xoeQXFDqOs4MAAggggAAC0S3guxDMdrOSOAWBUAsQwAp1D3B/BCJc4NHPl0tO3rEvx1XMAJBHzz+xyEiQCGegeQi4QmD0yS3l7M6NHXWZtzFTXv1pneMYOwgggAACCCAQ3QKNfBaB2XGAAFZ0/0W4o/UEsNzRD9QCgYgUmLkuQ75Z5syxc1mf5tIlJTEi20ujEHC7QBUTQf77H7pIc5Oc1V6eNwssrNxxwH6IbQQQQAABBBCIYgHfVYwZgRXFfwwuajoBLBd1BlVBINIEfKcO6kpoY4e2j7Rm0h4EwkogoUY1ee6ibo5RkAVmhYX7p/wmR48eDau2UFkEEEAAAQQQCIxA44SajgvvYAqhw4Od0AgQwAqNO3dFIOIF5m/cK7+aEVj2cscZaVK3VjX7IbYRQCAEAj1b1DN56Fo77jw3PVMmL9jqOMYOAggggAACCESngO8IrENH8uVgTl50YtBq1wgQwHJNV1ARBCJL4OUf1zoalBwfJ3/sleo4xg4CCIRO4NbT0yS1vvPX1Se+XCH7snJDVynujAACCCCAAAKuEGjskwNLK7WTPFiu6JtorgQBrGjufdqOQIAEftu6X6au2u24+vVm1cEa1WIcx9hBAIHQCej/Hh86t5OjAhmHc+Xpb1Y5jrGDAAIIIIAAAtEnoJ8T6vnMnCAPVvT9HbitxQSw3NYj1AeBCBB4Z9ZGRys099WlvZs7jrGDAAKhFxjcoZEM7djIUZGJczbJqh0HHcfYQQABBBBAAIHoE2iUUMPR6N0Hjzj22UEg2AKxwb4h90MAgcgWyMrNl88Wb3M08qqTW0rN6oy+cqCwg4BLBB48r5NMX7NbcvIKrRqZfO7yuJlKOOGa3i6pYXRU47DJLaJfDHYfOiJ7zLOOhsvJK5Aj+YWSax76fNT8v9iqVSTGrCZZ1TxXi6kqNc0v5Prvqz7rr+XxNWKlTpx5mOf4/z3ra7oCJQUBBBBAAIHyCNSt6cxduz+bHFjl8eNc/wsQwPK/KVdEIKoFvly6Qw7nFngNzHcscl95NdhAwH0CzRJryvUD2sgLP6zxVm766t3y06pdclq7ZO8xNvwjkFdQKDrNesX2g2ak2wFZaUa7rd55UDKzAvelQINeGtiKNytQ6nNtE9jyBLd0u7YGwKrHSi3zrNtxJuAVF1vVPHS7qlQ3gTK9Rqx5trZjTBDN7OvDCqiZZw2m6aO6eZ+eU82cQ9DMP38zXAUBBBAIlUCizxTCfQH8b1Wo2sh9w0sg7ANYycnJ8uCDD4aXOrVFIIIFJs3d5GjdgLZJUlwSSMdJ7CCAQEgFrjcrEurUwV22qQF/M6OwTj2hoRW0CGnlwvzm+mv17PUZMn9TpizcuE+WbN3nHe0WrKblm2F1GiALZJDMty0awEowATP99T7BPOqbqeQnJNeRdo3ipV3jeGubvIi+auwjgAAC7hJgBJa7+oPaiIR9ACspKYkAFn/JCLhEYFNGlsxNz3TU5iJWHnR4sIOAGwVqmdE3d5/ZTu75cIm3eqt3HpIP5m+RS8hf5zUp68a2fdny3fKd1mOWCV5pACnaSl7BUWsapE6F9JQfV+7ybFqjt3q1qCfXnNpKhphcbDolkoIAAggg4C4B3wDWAaYQuquDorA2rghgpaeny549eyQ7O1uOHi39Q96AAQOisJtoMgLhIfDt8h2OiurKJZokmoIAAu4X+EOPFHn7l3RZvv2At7LPfrdazuva1Jpy5j3IRrEC2Wbq9KeLt8p7czbL4s37ij2nLAd1Gl9SfJzo4hcaWLSm8v1vGp9OySswwbAC81mp0Dxrbqyc/ALJMvfW++uz5tI6aB76mpuLtmP2hr3Wo3XD2vKn/q3lwh7NWK3WzZ1G3RBAIOoEfANY5MCKuj8B1zU4ZAGsVatWyd/+9jf59NNP5cCBYx+WSxPSD275+fmlncJrCCAQQgEdcWAvQ8zqZpoPhYIAAu4X0HxG953dQS4fN9tbWU0q/vr09XLnkLbeY2w4BdbuOiTvzt4ok81otQM5Zf+M0iaptrRvkiDtbVPqdLUnzUnlj3LEBLYOmfoc0oCWeT6Qk2c9e455jmvAywqA5f3+nHVEE8f/njxeE8drInnN26UjqvL/95xXaBLKl/57Y7masH7PYbnv46WiAdOnRnaW09vzw0e5ADkZAQQQCJAAAawAwXLZCgv451NSOW8/ZcoUueyyyyQnJ+e4I67KeWlORwCBEAlkmmki8zY6pw8O6dg4RLXhtgggUBGBU9MamsTtSSaB+27v2zWAdWmf5uK7lLb3hCjc0NHis9bvlXE/r5fvVxybFlcShQbydbpcj+bm0SJRuqfWk3pmhFUgi5WAvU6MNKgTF5Db6AgwHQmmI6l0iqQGt3L1YYJe+tCgmCb71V/r9aHTKjVh/aqdB2Tz3uxi67THrMA4ZsJ8eXpkFzMaK6XYcziIAAIIIBA8Ac1haC/7mEJo52A7BAJBD2Bt3rxZLr/8cmu6YLNmzWTs2LFSq1Ytue6666zVar7//nvJzMyUefPmyYQJE2Tbtm1y6qmnykMPPSQxMTEhIOKWCCBQFoGpZsUy/SLjKTXMlBdNAE1BAIHwErh3WAfRVQg9/3PONiNw/v7VSnnuom7h1ZAA1FZHLX28YItMmLlR1piRV6UV/dV6cPtkGdqpkfRPS/LbyKrS7hnM1zRnVVXR1QfLf1d1/M5MOf/XtPVWUMt+Bf3vyP+bvNQK9rU0UwspCCCAAAKhE0is5fyxhSmEoesL7vy7QNADWC+++KJkZWVJfHy8zJ49W5o2bSrLli3z9segQYOs7QsvvFDuv/9+ufbaa2XSpEkybtw4effdd73nsYEAAu4S+HntHkeFTj0hySzLXoFvNo6rsIMAAsEW0BXiRpnFF96fu9l7648XbpXzuzeTgWZV0Wgs+81IovG/bpDxJkdYaR/eTaYDy+jyPi1koBnJVi2GKdTF/b3UMdMkL+ieIud3ayYz1uyRl39cK3PS93pP1ZFcny7eJrcNTvMeYwMBBBBAIPgCTCEMvjl3LF0g6J+sdISV5rK66aabrOBVadWrWbOmvPPOO9K9e3d5//33ZfLkyaWdzmsIIBBCgdlmOo29DGjL6Cu7B9sIhJPAXUPbSnwN529c93201EoQHk7tqGxdM8yUtqe+XimnPPmjPP/9mhKDV4lmwYrrB7aWaXcPkrev7i1nmPx/BK+Or6+fBweYoOik6/tK39b1HW/w/VHE8SI7CCCAAAJBEfANYFmLh5iR2RQEQiUQ9ACWrjio5eSTT7ae9f/oBxhP8U3SXrVqVbntttusXFlvvfWW5zSeEUDARQKb92bJVpPfxF76tGpg32UbAQTCSCA5voaV0N1eZf3f+DPfrrYfitjtgybh+bPfrpL+T02Vf/60zkqEXlxjdfW8B4Z3lJ//crro1MvmDWoVdxrHjiOgnwPHmFUI7WXhpkyTR6vsSfHt72UbAQQQQMA/Ar4BLL1qaSOR/XNXroJAyQLOn1dLPs9vrxw+fNi6VmpqqveamgPLU/bv3y8NGji/+Hbq1Ml6efHixZ7TeEYAARcJ6FLo9lLPjEZIS65jP8Q2AgiEmcDFJ6XKJ4u2WsnKPVXXaXTndGkiPU1C8kgsuw7kmKmC6fLOrI3Win0ltfGMDo1k9Mkt5JQ2DUVzQVEqL9C7VX3RlTA9uRR11cO56ZlRO2218qJcAQEEEKi8QILPaGy9ogawWNil8rZcoWICQQ9g1a1bV/bu3WutQOipsj1gtW7duiIBrAMHDlin7tnjzLHjeT/PCCAQWoG5PgEs/SLCl7ry94kuV7/BLCd/bOWuXOtLdIM61U1AMF7aJNUhr1j5WXlHBQV0VMwTF3aRM5+fbq0qp5cxi87JbRMXype39Ze6JlAdKUVHl73601r579wt1kp6xbVLB4sP79JUbhl0gmieMIp/BeJrVJMuKXVl4aZ93gsv3bKPAJZXgw0EEEAg+AKxJpdjvMlbeNAsvuEp+jmVgkCoBIIewGrXrp3MnDlT1q9fL3379rXarQndW7RoIZs2bZJvv/1Wevfu7fDQvFlaEhMTHcfZQQABdwgs2nzsC4fW6KSWzlwm7qilO2uh0y91BccfV+6Smesy5IhZfr6kol+gmyXWlE5NE+S8rs1Mnp1kiYslUX5JXhyvvEArM0XujjPSTB6oVd6LabDn9kkL5c0re4l+sA3nov/7+6cJXH04f4voiJ/iig6w0gT2N5vAlQaRKYETiNF/5GyFf99sGGwigAACIRJIMKvq2gNYTCEMUUdwW0sg6AGsfv36WQGsWbNmyaWXXurthuHDh8srr7wiTz/9tJUf6/TTT7de+/DDD+X555+38mSdcsop3vPZQAABdwjocuirdx10VKZ7c4LNDhCfnXyzwtaURdvkzRlFl5D3OdWxq6NftmRmW49vlu0UnaqpX6x1xbgOTRIc57KDgL8ErjO5iX5auduxStxPq3bLw58tl0dGdHLksfTXPQN9nU0ZWfLy1DUyecFW75Q133tqLOWsTo3lriFtJa0RI658fQKxryNQ7aV1Um37LtsIIIAAAiEQ0DxY9ly3BLBC0Anc0isQ9J9Ozz77bCsh+0cffSQFBcdWMBg7dqxoLqxDhw7JkCFDJCkpSRISEuSiiy6S7OxsMx2pqug5FAQQcJfA0i37rWlFnlrFmuEKnZrW9ezybBPIM4GrD+ZtlqHPTZe7P1gsK3c4A3+2U8u0mWmGcI//JV2GvTBDLn1jliwx020oCPhbQEdZvXBJN6lfu7rj0v8xeaLeMEHYcCrLtx2Qu/67SAY985P8d96WYoNX1U17Nf/X93cNlFcv70nwKkgdvN/8e5ZxONdxNx0BSEEAAQQQCK2AbyJ3Alih7Y9ov3vQR2Cddtpp8uCDD4quNrh161Zp3ry51Qf6/MEHH8hll10m+/btk4yMDG/fxMXFyauvvuqdcuh9gQ0EEAi5wGKfoEn7JvFSoxrT2uwdc9QMnfrIjPR49rvVjl+w7Od4tnXUR4LJBZNoRlfpB4Za1WOs9+jIKx2BVVL51Uw/PO/lX6wE22OHtpOWfPEriYrjFRBoUremvH5FT7n0zdnefFh6mb99udK62nUD2lTgqsF5iyYF1ym643/ZIPq/k5JKXGxVuaR3c7lhYBtpXLdGSadxPEACa3cfclxZE7qn1j+2yI/jRXYQQAABBIImoJ9J7WVflvPHBvtrbCMQaIGgB7A0KawGsIorw4YNk7Vr11qBrGXLlllBrrS0NBk1apQ0a9asuLdwDAEEQiywyJZwV6vSNYXpg/Yu2WlWNbv3o6XWF2j7cfu2jmw5rW2SDGqfLAPSkopNjp2dWyDrzBe8Zdv2y8cLnSvD2a/1xZLt8s1vO+TSPs3l7jPbWcEw++tsI1BRgV4mt90//tjVSuJuv4YGsfYezpO7h7Z1VU6sgzl51iirf/+aLptMrquSSo1qVeXyPi3kugGtJTmBwFVJToE+/sta50I9LRvUkmphnmMt0GZcHwEEEAiGgO8I7L0+o2WDUQfugYBHIOgBLM+NS3quX7++XH/99SW9zHEEEHCZgG8C966pBLC0i3TU1ZRFW+XBT5bJgZxjK7fYu69zs7py55A0s8pWsrV8vP013+2aZiTWieZ8fVx0UnNJN7liPpi/2UxJ3CK7Dh5xnJ5vRpxMmLlRvl++U54c2UX6m6AYBQF/CJzXtalsN0ncn/jq95FXnmu+Nm2dLNiUKS9e3D3ko5dW7jgg75jpjR+bUY+HTeC3pKKBqyv7tZQxJsdXUnxcSadxPEgC36/Y6biT/rtIQQABBBAIvQABrND3ATU4JuC6ANaxqrGFAAJuF9i+P1t2mBFG9tKjeT37blRuHzAjP8aaHFeaaL240rNFPbnFrGh2WrukCifA1imCY89sL7eeniY6wuSVqWuLBMq27c+RK8bNsUZj3Tusvegy9RQEKitwvZlip9O7HvtiheNSczbslbNfnCHPmFFaOpowmOWwWUziazPy8L05m2T+xsxSb92wTnUrcHWZGaXYoA6Bq1KxgvTiDvNv1RKTT9FedJVVCgIIIIBA6AUIYIW+D6jBMQECWMcs2EIAgXIKLPSZPphQI1ZaR3nuJR39ceM7C8R3NS2l1VEej59/ogzp2KjCgSvfLtJ8YxpQuNiMyvrntLVWUvfc/ELHae/N3iTfmmDag+d2lOFdmvjt3o6bsBNVAn8yo5ZqVY+VBz75TXTEn6fotIKr355r/Y1fc0or6du6fsD+3jLNvXTUzjfLdsj0NXscubk89bE/d2qaIFebOp3btYnExZKnz24T6m3f0Vf635KTzJRVCgIIIIBA6AUIYIW+D6jBMYGABrBiYvz7AVHzZ2nydwoCCLhDYF66c6SDTh+sakZmRGuZYnJTab6r7Lyi05ZGdGsqD53bSer5rOTmL6u6JsHmvcM6WLl8/jJ5SZFk1XsOHZFbJy6UL5dul0dNEK0hI0/8RR+119E8a+0ax1s5sezLayvId2b6qj7am9dHn9xSzu/WTHQabGWKBmZ1yvKv6/bIr2szZL6ZsqgJ2ksr+s/R0I6NTeCqpfRuFbhgWml14LXjC3y0YIvjpNPaJZP/yiHCDgIIIBA6Ad8AViZJ3EPXGdxZAhrA0hwwFAQQiFyBuel7HY3r1SI6fzHXL9aPf7Fc/m3yTvkW/Y++jroa1rmJ70sB2ddVu965to+8O3ujtUKcbzDtKzPNaraZ6vXIiE5mNFbTgNSBi0aPgE6H/eK2U+XuD5ZYo6F8W75yx0ErqPvQp8ukmwlwaxBJk8F3TalrrbKpP0wVV3RK4Npdh2SVeb9eQ0c26ohP37/n4t6rx3S048UnpcrFZlXBZok1SzqN4y4QWLPzoMmfts9Rk7OD9O+l46bsIIAAAggUK1CvVnXH8cysPCk0PyBF84/WDhB2gioQ0ADW6NGjK9UYDYB9+eWXkpGRYSVErtTFeDMCCPhV4JD5gqkr4tmLfjmNtpKVmy/XTZgvP/usoKUOXcyX9H9e1kNS6gV3KXj9QHGFSU6tSZAf+mxZkRUQdZrXLe8tFA1m/e2CzlYgIdr6jfb6TyDRfLB948qeMnHOZnny65WyPzuvyMWPmCCvBk714Smx5u9Ul+bW99eOi5VDJnecLnhwwLxfzy9v0eudmtZQRvVKtaYwsoJdeQVDc/5kk2zfXjT4OLgD+a/sJmwjgAACoRRoYHJH2ouOftZ8r/rfbwoCwRYIaABr/PjxFW7PlClT5MEHH7SCV56LpKamejZ5RgCBEAssMImS7bN3qsVUke7No2sFwt1m9b/r/jPPGhni2x06vUpzToUy105zswz9uNG95PMl261cRfqLmb18YY4vNP348Ijf83LZX2MbgfII6Egq/ZsfbvJLfWhWxpwwM13SM7JKvYTmztpzKNd6lHpiKS/qSoKnmUDtmSc2ktPbNRKdSksJHwH9EvTxwi2OCl/QvRnTBx0i7CCAAAKhFfAdgaW10dQUBLBC2y/ReveABrAqgqojrh544AFZuHCh9XYdhdWkSRO57777ZMyYMRW5JO9BAIEACMzekOG4apeURNGE4tFSftu6X8ZMmCfbzepZ9hIXW1UeM1MG/2hGgbihaGDh3K5NTTLtBnL/lN/ka5Pw2l50pUJthyaWf+i8Tky3suOwXW6BBLPS5TWntpKrTN6raWt2WytkTlu924yiLvelin2Dzjjs2CRBTm7TQPrpo3XDSufWKvZGHAyKwAzzN7LzwBHHvS7s0cyxzw4CCCCAQGgF9PN93ZrVHCOs9d/uE5LjQ1sx7h6VAq4JYH333XdW4GrOnDlWR2jgKjk5Wf7yl7/IjTfeKDVq1IjKDqLRCLhVYPrqPY6qRdP0wc+XbDM5fxZLTp5zmlM9M/rj7at7iyazd1vRaTmvXt7DGo11v1k5bp/PaCxNuP2LmQb5l7PayxV9W5DXwG0dGGb10Wmsg0wibn3sN39r8zbulTkmZ95cM4VwqQn+5hUcP6KlwaqWDWpLu0bx0tYkg9fAVR8zTTlQCyGEGXFEVHfS3M2OduhKke0bJziOsYMAAgggEHqBRglxPgEs5w+4oa8hNYgWgZAHsKZNmyb333+//PLLL5a5Bq4aNGggY8eOlVtuuUVq1Qpu7pho6XjaiUBlBHTYsH4JtZcBaUn23Yjdnjhnk9z38dIiI0o0UfT4q0+StubLtluLZzRWr5b1rADcL2YlN3vJyi2QB02ybZ1a+OTILtKqYW37y2wjUCEBndY3uEMj66EXyDGrdOr0Ww2i7svOFZ3aqknb65g8WPoLb4I+asRKk7o1GV1VIfHweJP+DWjg3F408T4FAQQQQMB9Ao0SasjqnYe8FdtxgACWF4ONoAqELID166+/WiOupk6dajVYA1eJiYly1113yR133CF16tQJKgQ3QwCBsgv8vMY5+qp29RjR1cgivYz/ZYM8/NnyIs3sbVZV+6cZ3dSwTlyR19x4QAMDulLhlEVb5bHPV0iGSepuLzpS5qznp8sdZ7Q108FahjSPl71ebEeGgE5F0NUyU6NvzYfI6EA/teKjBVtE86B5iuYzO68b0wc9HjwjgAACbhLQAJa97PKZ/m1/jW0EAilQNZAXL+7ac+fOlWHDhkn//v1Fg1cauNJglY7C2rBhg/z1r38leFUcHMcQcJHAdJPTxl40F011k/spUkteQaE8aKbdFRe8uqR3c3nnT33CJnjl6SMdjXVB9xT58c+nySW9i4560FXgdEW5YS/MsKYWet7HMwIIIFBZAf3s5zt98OzOTVgRtbKwvB8BBBAIkEBjnwDWDp8csAG6LZdFoIhA0L5xLlq0SEaMGCF9+/aVb7/91gpc6fRAzXGlgauHH35Y6tatW6SCHEAAAXcJ5JrAxvcrnNM+BrSN3OmDukzwVePnyL9nbizSEbcNTpO/XXBiWAfvdHrXExd2kfdMEC61fs0ibVy/+7Bc9uZsuXXiQpNsmeHiRYA4gAAC5RaYZ1Y/Xb/nsON9+mMABQEEEEDAnQKaA8temEJo12A7mAIBD2AtW7ZMRo4cKT179pTPP//cClxpQnadKqiBqyeeeELq12ceQTA7nXshUBmBmesz5EBOvuMSmt8mEsteM7XusjdmmxFIzlxR2taxZ7aTu4a0FR3JFAnl5BMayjd3DJCrT2lp2lS0RZ8t3iaDn5kmb5tplIW2aT9Fz+QIAgggULqA7+ir1ibfXq8omIZeugqvIoAAAu4VKDqFkB813dtbkV2zgAawLr30Uunatat8/PHHVuCqevXqctttt8m6devkH//4hzRs2DCydWkdAhEo8NXS7Y5WdTMr7mkC80gruw7myMWvzyySrF6nSj5/UTe5edAJkdZkqVU9Vh48t5NMuemUYldSPGQSbT9kcoCN+tdMWbf7WCLPiIOgQQggEDCBg2ZUqy4UYS+jTPL2SPkxwN4uthFAAIFIESgSwDILcRTwg2akdG9YtSOgSdzff/99L0ZSUpLcfvvtkpKSYk0h9L5Qzo0rr7yynO/gdAQQ8JdAvskF9c2yHY7Lnd25sWM/EnZW7Tgof5owVzbvzXY0R5O0vzm6l2jQLpJLV9O+j288Wd43S9xrHqz92XmO5ur0n2HPz5A/9W9lBfJqm9XjKAgggEBZBL40P4Jkm5UoPSWmahW5sAfJ2z0ePCOAAAJuFGiS6EzirotwaGqJphH4I7Yb/anTMYGAf+vw/KK2Z88eK1H7sVuXf0uvRQCr/G68AwF/Cfy4cpe15L39esNObGLfDfvtqaaNt7y3QA7nHvuCpY1qWreGvDumr7QyU12ioVQ1Xyov7dNczuzUSP7+1Ur5YP4WR7NzTTDznz+tk48XbpXHTR6w09tH5jRSR6PZQQCBSgtMXrDVcY1B7ZIlOd75xchxAjsIIIAAAiEXSDI/4upqsTl5hd66bNqbRQDLq8FGsAQCOoVQG6ErzfjzESwY7oMAAkUF3p29yXGwe/NEk/i7luNYOO98smirjJkwr0jwqmWDWvLfG/pFTfDK3ocNzAeWp//YVSaa4F3zYvp6u1mF5pq358kd7y8UzRlGQQABBEoS2Gy+7MzZsNfx8h8YfeXwYAcBBBBwo4AOJEmt5/zMr/+mUxAItkBAR2BNnTo12O3hfgggECCBTRlZMn3NbsfVL42gVaP+MzNdHvh0mQm4O5po5YJ644qekuyzfLDzrMjf69emgXx9R3957rvVMv6XdNGh4/YyZdE2mbFmjzw8opOc07kJ+WzsOGwjgIAloD8S2EvdmtXk9A7J9kNsI4AAAgi4VEB/tF6z61gO1M2ZzlQbLq021YowgYAGsAYOHBhhXDQHgegVmDh3kyO4k1AjVoZ3aRr2ILqi3gs/rLEevo05v1tT+fsfupgh0zG+L0XlviZ5/79zOspFJuHygybY57s6Y4YZgXXLewvlqy475LERJ0q92tWj0olGI4BAUQEdjf+Rz/TB4V2aSFws/74W1eIIAggg4D4B35H4jMByXx9FQ40CPoUwGhBpIwKRLpBjEu76Lnv+h54pUrN6eH/xOJJfILeaqW8awPItV5/SUp4d1Y3glS+M2T8hOV7eubaPPDWyi2gg07foCmNDnpsu3y3f6fsS+wggEKUCS7bsl/V7DjtaT/J2Bwc7CCCAgKsFUuo5Vx0ngOXq7orYyhHAitiupWEI+E9AfzX3zW90mUnwHc5Fl3K/6q25RZZz1zbdNaStPDC8o2gic0rxApoLYVSvVPnuroEypGPRBO57Dh2x8ondNWmR7M9yrmJY/BU5igACkSzw2eJtjubpL/k9mtdzHGMHAQQQQMC9Ar55bzdnkgPLvb0VuTUjgBW5fUvLEPCLgE6xe3PGese1BrT9/+ydB3wU1RPHRymBhNBJKKETeu+9i4AiIlJEBSyADcH6t/eOgg0FAUURKYoUFQERQg29lwAhBEINLRBKCAH/M6uXvLd3IbnkLrd395vP57h9W96+990jdzs785sSRhSOttKLGicTr1D/b9ZQZMxpbdTir3qLNZye7BQODSeNTPqNUNYG+4Y1wj6/pwGJno3ZfuUqhd0/X0Fb4hLMm9AGARDwEwLyPfLH9mPabO+oVxp/ZzUiaIAACICAtQmYUwhPnL/CVQn1qt3WngFG5wsE4MDyhauIOYCAGwn8HRVvl/YxtE0lN57RvV1LuHOfcatp59Hz2okKBOSmyQ80pYEtKmjr0ciYgERjyc3oX0+1pU7V7QWZjyRcNphPXnXAqEqbcY/YAwRAwJcIbI47S1KxVLXb65VSm1gGARAAARCwOAFzBJYgmjpmAABAAElEQVQMN/a0nhpu8SlgeD5AAA4sH7iImAIIuIuAiO6OX7Zf6756yWBqVaWYts5bGhIF1HPsKv6y1UOei7HY+PShzUkiy2BZJyCVGicOakwf96lHwSZtrKvX/qE3fttFj/64CSmFWUeMI0HAKwn8tlWPvqoSUoCqhQZ75VwwaBAAARDwVwLysLdUoXza9PeeSKtKqG1AAwTcRAAOLDeBRbcg4AsEVuw7RRsOntWmMrRtJa9M+4jYE0/3cNqgWctLBCl/ebQl1S5TSJsnGlkjINFYd7PA/yKOxmpasahdJwt2HjdSCncePWe3DStAAAR8j4CkDy7YcVybWA+uYCt/K2AgAAIgAALeRSDc9PAh+kSid00Ao/V6AnBgef0lxARAwD0EJPrq40V7tM7LFM5Pt/ONh7fZHNZhevj7DXTZlKcv0WSz2HlVsXiQt03J8uMtVSg//fRwM3qkXWW7sUpK4d1fR9JCdmbBQAAEfJvAlsMJdPy8nj7YvU5J3540ZgcCIAACPkognCNoVUMElkoDyzlBAA6snKCMc4CAFxJYtOsESdlz1YZ3rEJ5c3vXn41JKw/QSK6El8JRAKq1CS9OMx9pQSJCDnMPgdy5bqYXulWn7wY3oSKBusC7OBOHTdlIY5dGQxfLPfjRKwhYgoA5+qpyiSAyP8G3xEAxCBAAARAAgQwJVA01ObDiEYGVITTs4FIC3nUn6tKpozMQAIH0CFxjZ8/oRXu1zRKlJKlh3mISQfbRgih6+/dddkPuWb80TRrUhArm050qdjtihUsIdGBh9z9HtKXG5YvY9Tdq4R56ih2MqGJjhwYrQMDrCcjfYXOkZbfaEG/3+guLCYAACPgtAfMDiIOsK3slBZUI/fYD4YGJw4HlAeg4JQhYncDcLUdojymnfWTncJKIGm8wccC9NHs7fRWhC9DL2B9sVZHG9K3vdZFk3sD9RmMsyaKfU4c0c+gEnbPlKA2ctI7OXb56oy6wDQRAwMsI7D95geTmRrVbayF9UOWBZRAAARDwJgJShEM1+c194BQqEapMsOxeAt5xN+peBugdBEBAISCRMJ+Yoq9EK0pEd73BZPyPT91E09bF2Q33f12r06u316Cbb4Z4sB2cHFgRkDsXjbq7Lr3UvToLOOsnXBd7hvqzyH58oq6Vo++FFgiAgDcRWBIVrw23JKds1y5TUFuHBgiAAAiAgPcQkOwFVCL0nuvliyOFA8sXryrmBALZIPDjmoMkItuqPd+1mlc4fS5cSaEHJ68nqXSnmvirPuxdhx5tXxmVr1QwHliWymND21amiQMbU1DeXNoIdh87b4i7HzyNJ3kaGDRAwEsJmB1Ykk6M6oNeejExbBAAARD4j4A5jTCKf7/BQCCnCMCBlVOkcR4Q8AICksL1JYtqq9asYlHqUC1EXWXJZRn7vRPX0ur9p7Xxiej8V/c2on5Nymnr0fAsgU41QunnR1pSieAAbSCHzlyi3lyhcOdRvYCAthMaIAAClidwPukqbYg9q42zIzuwYCAAAiAAAt5NoGYpPZJ2K1ebhYFAThGAAyunSOM8IOAFBKQiXMIlXYfoxe41LP/E/PSFK3QPp59tjdO/QAsE5KbvH2hKXWtDc8WKH7+apQvSLHZilS8WqA3v1H/Xcxt+EGlc0AABbyKwYu8prfqrPExoVaWYN00BYwUBEAABEHBAoH7ZQtrabXHn6Lqp2re2Axog4EICcGC5ECa6AgFvJiBiu9+tOqBNoXudklS/bGFtndUax88lUd/xkbTLFL5cLCgvTR/anFpUxg2T1a6ZOp5y7Lz6+ZEWZH6adz4pxYioMzsl1WOxDAIgYF0CEXt0/avmlYpRYN7c1h0wRgYCIAACIJApAvXL6lWlE1nCI+bUhUwdi51AILsE4MDKLkEcDwI+QEBKnb/52y66eu2f1NnkyXUTPXdr9dS2FRcOcXWrPuNX0/6TumZSCKelzWSnSO0y+hMiK84BYyIKCc5H04c1J0lXVS2RnVj3cVro5kN6GpK6D5ZBAASsR0C+U5btPakNrH3VElobDRAAARAAAe8kIJWlpSiHapsP6VkQ6jYsg4ArCcCB5Uqa6AsEvJTA37vjabnpZuOh1pWoYvEgy85ISvaK8yrujC44H1YkP/3CaWmVS+hlfi07EQzMICBVbb5/sCm1CS+uEZGnevdPWkcbD8KJpYFBAwQsTCDqeCJXFL2ijbB9NTiwNCBogAAIgIAXEzBnaEAHy4svppcNHQ4sL7tgGC4IuJrAlZRr9PYfu7RuJYLpiY5VtHVWakiVugET1tCJ8/oNUqUSQUY6mqSlwbyPQL48uWgCVydsa4rUkOqSg75dh0gs77ukGLGfEojYo0dflS2a39IPRPz0MmHaIAACIJBlAvVMEiNbTDq0We4YB4JABgTgwMoAEDaDgK8T+HZlLB3kVDzVXuxenUQA3YomzisRbD/G2leq1eCKKDOHtaBShfKrq7HsZQTEifXN/Y2onQMn1kB2Yu04guqEXnZJMVw/JLBsr65/Jf+fb7rpJj8kgSmDAAiAgG8SMEdgRR1LpKSr13xzspiVpQjAgWWpy4HBgEDOEohPTKIvl+zTTtqofBG6s34ZbZ1VGjbn1VGT86p2mYI0fUhzKl4gwCpDxTiyQUCcWOPZidXBlHIkmlj3T1pLezg9CQYCIGBNAhIxuSFWT/ltG470QWteLYwKBEAABLJGoG5YIbpZeS6RwlUIt+MhY9Zg4iinCMCB5RQu7AwCvkVg1II9dDE57WmJPCB/o0ctSz4pF8F2ibwyO6+ket2UB5tRocA8vnVx/Hw24sQax04ss27O2UtXuTrhGhbuR7UbP/+IYPoWJbA6+hTJjYzNpCBIyyq6tp1tG95BAARAAAS8k0AQZ2pUDQ3WBr825rTWRgME3EEADix3UEWfIOAFBCRX/eeNh7WR3t0wjOrwExWrWfz5JLqPI28cOa+mPtyMigTltdqQMR4XEAjIzU6s+xpRy8rFtN5OXUg2NNAkIg8GAiBgLQLm6oNNKhS1bEq6tchhNCAAAiDgXQSaV9J/n0XCgeVdF9BLRwsHlpdeOAwbBLJD4Do/HX9j3k6ti6C8uei5rtW0dVZoJFxKNqrQHTqj63RJ5BWcV1a4Qu4dg0RiTRzUmJpUKKKdSAT8B0xYy1Uo9c+FthMaIAACOUrgn3/+IbMDy6xnl6MDwslAAARAAATcRqCF6QGjpI9LcSgYCLiTABxY7qSLvkHAogTmbDlC5mohT3YKp5DgfJYa8aXkFHpg8nrac0LXPBLBdjivLHWp3DqYwLy56dvBTchc8eZIwmUawOmER/kdBgIg4HkCB05dpMNn9f+P5qqinh8lRgACIAACIOAKAs0rFmPZkbSerqRc54rRCWkrsAQCbiAAB5YboKJLELAyARHY/eDPKG2IFYsH0QOtKmrrPN2QJzjDpmy0+yKsUCyQvn+wCdIGPX2Bcvj8wfny0A8PNKVapQtqZ447w06sCWvoBKeZwkAABDxLYCXrX6lWIjiAqpfUNVLU7VgGARAAARDwXgKiPysZEapF7ocOlsoDy64nAAeW65miRxCwNIGvlkZTfOIVbYyv3l6D8ua2zp8DSXF8euZWWrFPvxkKLRhAUx5qZrlIMQ0mGm4jID+U5Pqbb4hjReCfnVhSVRMGAiDgOQLmv9ltwotbsiiI5wjhzCAAAiDgWwTMOqVwYPnW9bXibKxzx2pFOhgTCPgYAdELmrjigDYr0SfpUC1EW+fpxqhFe+iPbce0YRRm58WP7LwoWzRQW4+GfxEoyoL9P7Jwf5WQAtrEY05eNKpUIhJLw4IGCOQYgavXrpP5xkUcWDAQAAEQAAHfJWDWwdocd5YuKxXOfXfmmJmnCMCB5SnyOC8IeIDAqIV7KJlvMmyW++ab6NXba1rqCfnMDXH0dcR+2xCNdxGYn8zpY+Gmcr3aTmj4DYHiBQLoJ3ZiVeLUV9X2sxOr7/hI1uCBsLvKBcsgkBMERPdEUtRVa1UFDiyVB5ZBAARAwNcISKXZXHw/YbOr1/6hjQfP2pp4BwGXE4ADy+VI0SEIWJPA1rgEmrf1qDa4+1uUt4tk0XbI4cYaLr/78uzt2lnlS3Hc/Y2oftnC2no0/JtASMF89NOQ5lSeNdFUO8jphH3HRVIsi0nDQAAEco5AxJ547WRSbMNqhUG0AaIBAiAAAiCQbQKiUVqnTCGtn9X7dQkQbSMaIJBNAnBgZRMgDgcBbyAgpc3f/n2XNtTgfLnpyY7h2jpPNqR61SM/biR5cqPaO3fWpjbhJdRVWAYBg0DJQvlo+tDmdpFYR88lGZFY+0zVK4ENBEDAfQQi9pzUOm9fDX+3NSBogAAIgICPEjCnEUbyA2kYCLiLABxY7iKLfkHAQgTmbz9OG0zhvI93qGKZSn7nLl+lhyavp4RLVzVqQ9pUpHualtPWoQECKoFShfLTjGEtqJopvVQKFUg64YbYM+ruWAYBEHADgXiuArrr2Hmt5/asrwgDARAAARDwfQJmIfdth8/ZpZT7PgXMMKcIwIGVU6RxHhDwEIEU1rz6mEXRVStbND890KqCuspjyxId9gxXHIwxpXx1rhFKL3Sr4bFx4cTeQ6BEcIARiWUOYT/LDtEBE9bS3C1HvGcyGCkIeCEBc/RVcEBuali+iBfOBEMGARAAARBwlkDj8kUpT640HaxrXE18/QE8QHSWI/bPHAE4sDLHCXuBgNcSmLXpMEl6nmovdK1BAblzqas8tvzN8hhavPuEdv6arJ3yWf/6miiktgMaIGAiUISrE04d0owamW6apWjBiOlb6NPFe0mcpTAQAAHXE1i067jWaZuqxflmBj8xNShogAAIgICPEsjPxZYalNUfWiCN0EcvtgWmhV8XFrgIGAIIuIvAlZRr9Pnf0Vr3dcMKUfc6JbV1nmqs5Rz5j7gyompF2RExcVBjCuIn+DAQcIZAQRYS/eHBptTOQerSp4v30VMztlDS1WvOdIl9QQAEMiBwkSsPLt+nC/Z2qWmN75gMho7NIAACIAACLiLQvHIxrScIuWs40HAhATiwXAgTXYGA1QhMW3uIjiRc1ob1TJdqdNNNaWG+2sYcbMQnJtET0zaThBnbTIYlkVelC+e3rcI7CDhFQByfk9gBOpArbJptzpaj1O+bNXT47CXzJrRBAASySGDFvpOUnHI99ejcXDm2Q7WQ1DYWQAAEQAAEfJ9Ai0q6A2vn0fN0zqRt6/sUMMOcIAAHVk5QxjlAwAMEJNJkbMR+7cxNKxSltuHFtXWeaFxnp9XTM7bSSRbaVm1kp6qoOKgCwXKWCOTm1KW3etamN3rUJL6X1mxrXAJ1/2wFLdhxTFuPBgiAQNYILNypp4A355uYQoF5stYZjgIBEAABEPBKAg3KFWZ5kjTXgqg2rDmAaoReeTEtPui0T5nFB4rhgQAIOEfg542H7RxEz95qjeiriStjaGW0nnLSltO+hnes4twksTcI3IDA4FYV/01HZW0G1c4npdAjP26iV+ZsR0qhCgbLIOAkAUlTN2sY3lIz1MlesDsIgAAIgIC3E8iXJ5edDmnkfjiwvP26WnH8cGBZ8apgTCCQTQKSzjHOFH3VqkoxalqxaDZ7zv7he44n0scL92odlSyYjz7tV59uNofLaHuhAQLOE+hYPZR+fawVlS8WaHfwj2sOUY8vVtKOI+fstmEFCIBAxgRW8YOIRHYIq9a1NvSvVB5YBgEQAAF/IWBOI1zDWrcwEHA1ATiwXE0U/YGABQj8wtFXZu2rx9t7PrpJHGtPz9xCUhnOZqJ7NYadVyLeDgMBdxCoVjKYfhvemm6vW8qu+33xF+jOsau42ME+uqp8Lu12xAoQAAE7AvO369UHpQpoKD+QgIEACIAACPgfgZb8sFy1KH5offqCLheibscyCGSFABxYWaGWyWOef/55QyxbBLPlFRERkeGRCxYsoLvuuovCwsIoICDAeJe2rIeBQGYIyE342KV65cEmFYpQC1N1kMz05ep9voqIJhF1VG1Im0qWGJs6Jiz7HgGpUPjFPQ3ow951KF8e/asvhTXZRv+114jG2nTorO9NHjMCATcQkAcSi3bqDqzudeydxG44NboEARAAARCwIIG6YYUp0CTbsCbmjAVHiiF5MwH9V7w3z8RiY9+6dSuNGTMm06P6h5Xuhg0bRt26daPZs2fTkSNHKDk52XiXtqyX7bIfDARuRODPHcftoq9Gdq7q8cqD0Rzp8tVSXVS+amgBevqWqjeaDraBgMsIyIOEfk3K0e8cjVWrdEG7fuVJ4V1fraZnf7YvMGC3M1aAgJ8TWBl9kkRPTrVuSB9UcWAZBEAABPyKQB4uotOEC0apFhmja96q27AMAlkhAAdWVqhlcMz169dpyJAhlJKSQiEhmSsl/corr9A333xj9NygQQOaNm0arVu3zniXtphsf/XVV41l/AMC6RH4btUBbZNUBWnp4egrqTr40uztWupgLta7+qRPfY6G0QW2tcGjAQJuIFAlJJhmsy7Wk1w0QD6HZpMU3I4fR9DEFTFIKzTDQRsE/iMwb8tRjUVD/q4pXTi/tg4NEAABEAAB/yJgzvhYDSF3//oA5MBs4cByA+TPP/+c1q9fT9WrV6eHHnoowzNER0fTRx99ZOzXuHFjWrVqFfXv35+aNGlivK9cuZJkvdiHH35I+/frUSzGBvwDAkxgM6c/bT6UoLF4uHUlj0df/bwxjtYd0EOIH25dkeqEFdLGigYI5BSBvFzq+eku1WjWoy2pOmtkmS3xSgq988du6vbZCloaFY/oVzMgtP2awOXka7Ro1wmNwR31SmttNEAABEAABPyPgFnIPebkRTpxPsn/QGDGbiMAB5aL0cbFxaVGSX399deUN2/GwtSSaijRWmJffPEF5c+vP8EMDAw01st22e/TTz+VRRgI2BH4blWstq50oXx0ay3PljQX8cb35kdp4workp9GdA7X1qEBAp4gUL9sYUPg/eXuNahAQG67IUjq6wOT19M9E9bQ+ljdCWu3M1aAgJ8Q+DvqBF1iJ5bNJJCxu4MiCbbteAcBEAABEPAPAiLREJxP/z0ViSgs/7j4OTRLOLBcDPqxxx6jCxcu0KBBg6h9+/YZ9i6aVnPnzjX2k4it5s2bOzxG1lerVs3YNmfOHEQDOKTk3ytPJl6h+duPaRAGtaxAuTkf3ZM2ZvFeOnf5qjaEd+6szSKP+pebtoOfNeTvQNLVa3TmYjIdTbhMx88lUXxiklG5JeFSMtLY3Px5EM2GIW0r0ZJn2lHvhmEOzyYipH3GRdL9k9bSxoMQencICSv9hsCczXr6oKSMhASj+qDffAAwURAAARBIh4DcdzSraNLBggMrHVpYnRUCuIPMCrV0jpk5cyb9/vvvVLRoURo1alQ6e+mrDxw4YAi1y9p27drpG00t2b5nzx46fPgwxcbGUsWKFU17oOnPBOZsPkJSTc1mUmmtPwtWe9Ki4xNp2ro4bQi381P69tUypw2nHeilDanUdfD0Rdp/8gLFnOIwanZOnTh/hU6wgyqe38W5dyk5hZRL53CmEh1UKH8eKhyYh4oXCKDyxQKpXNFAfg+iisUD+VXAoZ6Tw86w0iGBkIL56JO+9WhAs3L0xrydtP3IObv9Vuw7RfJqE16cRnIUYaPy+o80uwOwAgR8jIA8LFm6J16bFdIHNRxogAAIgIBfE2hRuTgt3p32PREZc9qveWDyriUAB5aLeCYkJNCIESOM3kSnqkSJEpnqeffu3an7SQTWjUzdLsfBgXUjWv61TSJ4RGdKNSlnXoidHZ40SR28pnhmAlh36CVO1fJVu5JyjXYePU+bOEJnc1wC7eLlQ2cuaQyyOvcLrMkkryMcoeXIpGxx7TKFqAGnxElaXGOuAlMiOMDRrliXAYFG5YvQ3Mdb0Wx2Co9auIeOO9BuUB1ZIzqFG7wz6BabQcAnCMjDEvXvujwske8bGAiAAAiAAAgIAbMOlvwWPnz2EoUVCQQgEMg2ATiwso3w3w6ef/55On78OLVs2TJTwu2204pmls3Cwhynrti2ly1b1rZI6nGpKzNYkMitG9mxY3r62Y32xTZrEZCUpr0nLmiD6tMo7fOibcihxqroU7SExa9VG9Kmkk9Vqbp67TptYUeVODNkvtsPn9MqLapzd/ey6NGIUL4qll+XRfIl2q1j9RCqy86tmx1U3HP3uLy1f2HVu1EY3cYRg9PWHaKxS/fTKdZzM5vNkSWVPh9tX5laVynu8aIJ5jGiDQKuIiAPS2ZuSPvdIv2K8yo4n2cflrhqfugHBEAABLyRgNXu8aQ4ThF+iH72UpqEiOhg9WkMB5Y3fr6sNmY4sFxwRaRK4MSJEyl37tw0btw4p25eEhMTU0dQoECB1GVHC0FBQamrRWfLWVMdYM4ei/2tTeCntYe0AVbg9DJz/rm2g5sbcpPz3vy06EI5naS9PcI3+N5ukvK3cOdxWsQv+TK+qAgZW21u29ihJq/P/95n8O/VoDT/eChLVUPtq+5ZbexWGU++PLnogVYVjXTcqWsP0rhlMQ4dWVImWl41ShWkoW0r0u11S5Noa8FAwJcIyN+TfVzYQDVPPyxRx4JlEAABEPBHAla7x5OHgM0rFaM/dxxPvRySRii/QWEgkF0CcGBlk2BycjINHTrUEFV/6qmnqE6dOk71mJSUVlY0o4qFAQFp6UCXLztOI3Lq5NjZJwhIOfMF7ExRTTR8PBlts3DnCSOVTh3T07dUdVjlTd3HqsuiUfUXl4z/besxWr73ZJairEI4na9yiQJUtmh+Q+w4tGAAp/jlo2IF8rKgfS4KYlH7wIBcFJA7FxFLmV1jJ6Ck6cgrMemqoZWVwE+yzrKo+9GEJDp45iIdOn2JYvnlKDLIzFL2mbDigPGqxymGfRuHUc/6Zbz2mpjn5+52fr5GD3ME4b3NytONHFm7j52np2ZspY8X7qWHWrPjq2lZFCxw98VB/zlGQL0ZkZPK3zNPPizJsYnjRCAAAiAAAk4RkOIe6neGPPSVB9w33cRla2EgkA0CcGBlA54c+t5775HoUZUrV45ef/11p3vLly+tao84w25kV66kpa/kz5//Rrs63JZR2qGkEDZt2tThsVhpXQKLd9uXM+/V4MbpqO6czXV2uHzKlQdVq1wiyHCYqOu8YTmOc/a/Xx1LM9bHUSLrT2XG5Hs5PKQAa1EVoQblClN1jsipxPMvmI0Um5KF0v5OOBqDOKe2ciqjpDPKSzS4bhQZJvvK66MFe+hBji4azNUqPa2X5mheVlynOrIktXD88v2GKL95rKJV9tbvu+jzJftoYPPyNJg5Fw3Ka94NbRDwGgJy4/HnDl1qQCINPfmwxGvgYaAgAAIg4EYCVrzHE2kF1Y5xEaOD/NC1QvG0jCJ1O5ZBILME4MDKLCkH+0VFRdH7779vbPniiy9ITfFzsLvDVcHBaak8GaUFXrx4MbWPjNINU3dUFjLS2FJ2xaIXEZi7RS9n3oo1eDwp3i3RYFHH01JjBeXIzlVJyup6i62PPUPfrjxgpAoqGvTpDl/SxqQqnXxZN2QB8Ow4q9I9yQ02SHpmpxqhxkt2k8qHG3gOUilMdMj2n0z726F2I+mQY9jZOHFFDA1sWZ4jhirByaICusGyOLIe5AgriXb8ddMRg6FUmTSbRM19viTaiHyTfUUHLiOHpLkPtEHACgR2HDlv3HyoY+lWu6TaxDIIgAAIgIAHCFjxHk+yDuR+RCrX2kykFuDAstHAe1YJwIGVVXJ83JgxY0iipipVqkSXLl2i6dOn2/W2Y8eO1HVLliwxhN5lRY8ePQyHl/oHJyMBPtW7brVc59RJYiFHCSRwOtmyvbpQuifLmcsTetFbUq1qaAG6zUsqVK3l/PzRf+2ltSyGfiPLy8649tVKGOLFrdlxJQ4kK1lervbYkh2Z8nr5tpoUzZo1v2w8TLM2HdZ+SNjGLNFlIlI+eVUsPd6xihGVJdpPsIwJCCdxTPVvUpZLRp9gjaz9tOlQgt2Bl69eo0nsFP0hMpbuqFeGhrWrBC0yO0pYYWUCv2/XH5aUKxpIdbg4BAwEQAAEQAAEzAQkVVB0sH7bmvbdITpY8psJBgLZIQAHVjbo2VL6YmJi6J577smwp7fffjt1nwMHDhgOrJo1a6auk4iuG5m6vUaNGjfaFdv8hMDfu+Pp6jUWTPrPxHFxqwefiEfsOWkXfTWiU1XLp5hItJJEIq2KPm1DafcuqYFtwkuw86E0dakVmuNRVnYDcmJFFU5pfKFbdXq2S1V2eJ40quot5s+O2STtUNIKJTXupW41qCt/lqBVYKbkuC1pVF1qlTReEsE3nh1ZjhjL/1dxJMqrK+//BDsMa8MJ4Bgq1lqKQETUSW08UqETfx80JGiAAAiAAAgoBCQzQXVgreaK3SI1gtRzBRIWnSYAB5bTyFx7QMWKFal06dJ09OhRWrZs2Q07X758ubG9TJkyVKFChRvui43+QWAJp4ip1q5qCY86VkQPSDVxnFg5xeQo6xS9MW8nLWKB9vQsiFPF+nJ0jehElS/m3Xn7ksZpSzWMOn6evuTUtj+2H2NRTX32cWcu06NTN1HTikXpnTtrI1JIx5Nhq0mFoiSvvScSjYgsSfMVMX6zSbqtvDpwNN8THcOpEaefwkDAigQucpTmvng9NbxzjRArDhVjAgEQAAEQsAiB1pwJoNrpi8m0/cg5kmJCMBDIKgHvEaXJ6gzdeNzkyZONagqSNpXeSxV2X7p0aep+NgeUPL3s2bOnMUqJsFqzZo3DEct6WwSW7I+nng4x+dXKq9eu03KOeFKtU3XP3VBsO5xAa2L01LuhrPdjxacs4kwQjatbRi9L13lVioXTX7mtBkW+1Ile71HL651X6udElquXLEhfDmhIi59uR70alOG/KeY9iNZxKuXtn69kR9c+jvS7br8D1tyQQNXQYBrdtz5FPNueqxeW4wqTjr9yl/L/495fr6YHJ6+nXUfP37BPbAQBTxDYwTccqg82N0cc1iqN9EFPXAucEwRAAAS8hUBZTjWvZBJtl2wNGAhkh4DjX9PZ6RHHOk1g5MiRlDv3v8Fww4cPp8uXL2t9SFvWi8l+sj8MBDbEnrWrjNfBgw6sb5bHaBclhIUbezYora2zQmP74XPU66tVRoU4R5X6QgsG0Ns9a1HEc+3pYXbA5bQge04zEpHNMf3q07zHW3PUkH0EUDI7rj5etJfuHLsKzpUsXhz5Afdurzq06oWO9CSnDBbM5zj4WQT3u3++goZP28zC+xeyeDYcBgKuJ7CN/26qJs5Z6OSpRLAMAiAAAiDgiEA7jjJXLcKk3atuwzIIZIYAHFiZoeTmfapWrUrPPvuscZYNGzZQq1ataMaMGSTL8i5tWRZ77rnnKDw83FjGP/5NIMKUPlirdEEKLZjPI1COcCrefE5FU21wqwoccWIdIXCJuhq7NJruZOeV+WZMxl0sKC9HWtWkZc91oPtbWGvsKld3LdcJK0Qzh7WgsRyVVaZwfrvT7OTIoDu+XEmfslZYCqKx7PhkZoWI/T/dpRqtZEfWc7dWS7fio+hFSHTgy7O30+kLadV7MnMO7AMC7iCw86juwKpXFtFX7uCMPkEABEDA1wi0r6Znh2yJS6CznEoIA4GsEnD8GDirveG4LBN49913KT4+nr799lvavHkz9e/f366vhx56iN555x279VjhnwSkkodqHUxfEOo2dy9PXXNQSy8JZN2oe5uWd/dpM91//PkkemrmlnRF2qWCnIicFw7Mm+k+fXFHSU0WYeZOrG0jovYTOKpOTRtK4cani/fRin2n6FOO2pLIIpjzBCSq7/EOVegBdvL+tPYQfR2xn0QXQjXhPpW3zWP9LBF6t5pDWB0rln2fgFIrxJhscoq9ppvvU8AMQQAEQAAEnCXQjPVU8+W5mZKu/itFIbqry/edpJ71yzjbFfYHAYMAIrAs8kG4+eabadKkSfTHH38Ymlgi7J43b15D4F00r+bPn08TJ05kPSFcMotcMo8O43zSVRJNEtVamYQS1W3uXL6Sco1mrI/TTtG7YRgVCsyjrfNUQyLVun22wqHzqnKJIJoxtDl90Luu3zuv1OsjqUEvchXC2Y+1YgH3AuomY3njwbPUnZnO3XLEbhtWZJ5AYN7cRprq8uc70DO3VKXgAPtnSoksnv3+n1EckbWc/rpBsYHMnxV7goDzBBqV0wV3V0afNDQ9ne8JR4AACIAACPgTAflN2aJSMW3Ky6CDpfFAwzkCN7H4OB6jOcfMZ/c+fPgwlS1b1phfXFwchYWF+excvX1ii/lG9uEf/k0rlbnkZXHoba938YgmyZzNR2jkjC0a0kVPtfV45Tr50/YFV9kb/ddebWzSYP1ho+rbExwFI+xg6RMQB6VUK/yKo4QcVdITAfi3uVJhAQfOl/R7xRZHBBIuJZNoyX276kDqk0rzfl1rlaQ3WaPNU+nC5vGg7R8ERJOt0yd6pWQr/J33D/qYJQiAAAhkj4Cn7/G+Xx1Lr3PVb5uJbMf6lztbstCTbYx4ty4B+8e91h0rRgYCIPAfgZXRpzQWDbgcracEdadw+qBqzSsV9bjzSpwuL87aTr+yc81sJVkn7LP+9amZ6WmQeT+0/yUgOmbPsG5TRy4QMGL6Fjp05pKGZjYz3nzoLH1+TwOqG6ZHaWg7opEhAUlhfb5rddZgK08fLdhDwtZsC3Yep1X7T9HL3WtQP059RUVaMyG03UFAqkiJNp7oHdqsy5jlRlGC9vy3oR7/388lTwYyackp1+ksO2xPX0imM5w+e/riFeM94dJVOnc57XUhKYXk77mkniTxuxx3M6c6y7mkEqK8B7HzvCjfDBXh/z9Fg/KQaM1V5PFWCSlA5TjNOXcuPKTI5GXBbiAAAiDgFgLtTULuIpuwjTNJ6vP9CwwEnCUAB5azxLA/CFiAQOR+Xf+qTXhxj4xqz/FEknQy1QayALonTaJYhk7ZSOsOnLEbRmfWdhp1dz0qwjc7MOcINChXhP54srXxBO3XTbpjJfb0Jbrrq9WGMPkQrtx4sxM3ss6Nwj/2LlUov1EZclDLCvTWbztp06EEbeKJfFP/wq/b6bdtR+mTPvWpZCHPFG/QBoWGTxMQR6l8z0w3pYt/ztGZ8hIHUhWuaBoUkMtwKNkiMi8lXyN5Xb6aQheuXDOEe0W8V1Jjc8Ly5LqJKhQLMm6SWlQuRvKS/18wEAABEACBnCNQnv8Oy4OQmFMXU0+6YMdxOLBSaWDBGQJIIXSGlo/v6+nwUh/H67LpiYOm/lt/af3NerQlNSpfRFuXE403OBx4MocF26xEcACt5gpreTz0xDuWvxgfnLxe+4KUsYk/5SWOWHmodUVErNguVjbe53GVvJfZgeLoJlRucj/pW49CguFUyQbi1EMlFVYisd75Y7cRoZK64b8FcRx80qcedeAoGBgIuJPAxoNnqM+4SK2wgzvP566+KxQLpNb8d0oEhBvz9yaiGN1FGv2CAAhYhYAV7vE+XBBlFK2xMSnPf4sjnm2Pv8E2IHjPNAHEVWcaFXYEAWsQMEc8BbCGU50yOV/SPOnqNbsUp76NwzzmvNp3IpHuHrfaznklFREnDGxsiGXjRsU1n+E76pWm+SPaUAOTsLP0LhUKReB9+d6TrjmZn/cin9m7uCjC4qfb0V2sN2Y2Sb96gJ2278/fTVev/Vvhx7wP2iDgCgKNyhelSYObcASTdzunJWL0xzWHDGdc21FLafSiPRTDGl8wEAABEAAB9xHoXruU1vlB/lu869h5bR0aIJAZAkghzAwl7AMCFiKwPlZP2ZP8cU8Ikf+545ihVaKi6de4nNrMseW97LwaMGENnWI9FdVCCwbQpEFNqLYHHHzqOHxxuSxry8wc1oI+W7yPxkZEc0WytFnKdRj47Toa1rYSPd2lKomOFix7BCTSanS/+tSjfmkj+u3ouSStw/Es/r4+9gx9fV8jCLxrZNBwJYEO1UJIqmbKZ02qSC3lKq97T2Td+cP+2f+0q0S/il+sY1Uofx6jim3BfLkpOF8eys8VrAK4BLvoPBrfdfy3JuX6P1xU4jo7bf8hSakVPS1x5srryNnLJKLzorGSkcWduWykQEoapESPPtq+slEtCw87MiKH7SAAAiDgHIHaZQpSWJH8dJj/Rtvsj23HqFbpnH8Ibzs/3r2TAFIIvfO6uWXUVggvdcvEfKzTu79eTRsU3anhHasYIts5Pc3+30TSmpg0nSn58T/loWY5PQy+eXLsvKpZqiBHCzSG3kkOXJHVLCr+9IytdPy87lSRU9fg6/ApO16qlQzOgZH4xynOsdD187O20sKdJ+wmLELb3z/Y1BCwttuIFSDgBgKHz14ytBBFfP0Ca1tdYq0reRfLzxGwgex4kncRW/9XaP1fsXVZlsIFzoi/OzN80dqKZkfWDhYKFt3ItayLKGPMyOSh0GPsyOpcIxR6fhnBwnYQAAGvIGCVe7z3OFpcqi3brDRH9K78X0f8rbUBwXumCMCBlSlM/rGTVf64+QftrM0yhVOEar+x0KjIZOvhuweakDwVz0mL40p0bT5aqp3yywEN6Pa6pbV17m6k57wSPbDJzEWe3sNyhoDcLD7781b6Oyre7oQSNfH8rdXowVYV8SPFjk7WVog21g+RB+ld1sZKNqUOFg7MY0QeekIXL2uzwVEg4H4C1zhqazenqyzj9GbRlYuOv3HkmDjf3+hRExVr3X9pcAYQAAE3E7DKPZ48ULj9i5XabKc+3IxaVfFMMSptIGh4DQFoYHnNpcJAQYCMVA0pJ66alC/PaZu16bB2Skn5uKVmqLbO3Q3RLHGUNig37RKBAueVu6+A3r9Udpw4qDG9entNymsS8U9OuW6IkN87cS0dSUgLHdd7QMsZApLiJFUKf32sJZXjdE7VEjhC696Ja2jxLvsILXU/LIOAPxGQSC9JJ3+8QxX666m2NO+JVjSY/w9J6qIjE2dXv2/W0Ijpm+m4KWXX0f5YBwIgAAIgcGMCtUoXpOqmiPxZG/V7ihv3gK0gwMW5AAEEQMB7CGw7nKANtmzR/On++NZ2dGHjOj/FNjuwerIuT07qHJ26cIUGf7feTvPK5ryylXB34bTRVSYIiFNFKj3OG97K7geKHB4Zc5q6jllOv/CPFYkggmWfgNyQz2YnVj1Oe1JNHN1Dp2ygGesPqauxDAIgwATkb1Vdfvjzxh21jMq5b/WsRZJ+68jmbjlKHT+JoPHL9pNEQcNAAARAAASyRkD+9t7dKEw7+M8dx1PTzrUNaIBAOgTgwEoHDFaDgBUJbOPQW9XkB3hO2zoW7xXhW9XMX0bqNlcvX06+Rg99v4EOcRqjanBeqTQ8u1y9ZEGa83grGtKmIt8o6mNJZG0cSTW8f9I6ij11Ud+IVpYIFCsQQNOGNONU4hLa8exrpv/N2k7zth7V1qMBAiCQRkDE4Qe2qEARz7WnMf3qUXhIgbSN/y1d4u+d9/+MMiKyJIUeBgIgAAIgkDUCPeuX0bQPL3NV8/nbj2WtMxzllwTgwPLLy45JeyuBnWYHlgeq60n0jGpVQwtQnRwah2iYSDrH1jg9Ek0qm4jmFSKv1Cvj2WW5KXz5tpr008PNHUY2rIw+Rbd+upzGLo0mSTGEZY9AYN7c9M3AxnZPNqXXZ2ZuodXMGwYCIJA+gTyc+tyrQRj9OaINvcmRWVIF0WwbuYBK989W0BzW0IKBAAiAAAg4T6BEcIDdAzfzvYXzveIIfyIAB5Y/XW3M1asJSOpC1PFEbQ6SPpSTdik5hf40PSXp3TDMSMfIiXG888cuWmTS9ZG0j28HQ7A9J/hn5RwtKhejP0e2obsalrE7/Ao7rkYt3MOCnitoHVcIg2WPgNyAj7q7Lj3KFdRUu3rtH04n3Eg7j+oRnOo+WAYBEPiXQG7+fyT6ckufbU/9m5R1GEU6csYWGskPU84nXQU2EAABEAABJwnIvYNq8hvw0GlEt6pMsJw+ATiw0meDLSBgKQIxnG4lN/yqSZWknLQFnKd+kVMpbMaauPzE2t4xYdvuyvcfImPpu1WxWpfB/IRcIq9CgvNp69GwFoGCXA1ydN/6NJEjhKRkstn2nrhAfcdH0tMcKXQy8Yp5M9pOEBB9Can4OLBFee2oC5y6KbpxSH/SsKABAukSkNTcD3rXpV8esS+UIAfNYW2sO7iaVtTx8+n2gQ0gAAIgAAL2BDrWCCGpmKzaL6YCUeo2LIOASgAOLJUGlkHAwgR2HdV/JJdiR0B61ZPcNQ1ziG/bqiUopKC9Q8LV59948Ay99dsurds8uW6i8fc3ovDQYG09GtYl0JkrVS56uh092KoiifPTbL9uOkIdPo6gryKiKYk1EWBZIyBOrNd71KJutUtqHYhzcNB36xA1olFBAwRuTED0FedzWqE5YkCOiuWIgbu+Wo2KnzdGiK0gAAIgoBGQwk8965XW1s1cH4dCGRoRNNIjAAdWemSwHgQsRkBKeqtWM4ejr44kXDaqyKljuMsUAqxuc9Wy3HQ/NnUTpYgitWIfcapUy8rFlTVY9AYColP2Wo+ahsi7lFM2m0QKfbRgD3VkR9bPG+JIdM9gzhPIxR7CMf3qU9OKRbWDY05epFfn7NDWoQECIHBjAvJ365O+9eiLexqQRP6qJgLvUvHzu1UH1NVYBgEQAAEQuAGBPo3LaluPn0+iv0wyIdoOaIDAfwTgwMJHAQS8hMBuk/5V9VI5G3k0m0N7/1F8CcH8g74LR9S400T368lpm+nEeT2t7DHW+BGxXZj3EpAKmnO5UuHr7MySz5LZjp5Loud+2UbdPltuRDf8o374zDuj7ZCACOlP4LTN6iX1vxVzOfUJItQOkWElCNyQQA+OGBCR93phuv6k+Nnf5CjhN+bthNP9hgSxEQRAAAT+JSA6vg3K6dXUv4+MBR4QyJCA/V1DhodgBxAAAU8QiDJFYFUvaR+94q5xifNgFqd3qXZ7vVIkN8jutI8X7bWL+mpdpTg906WaO0/rkr4TWdw39tQlOnkhiU4lJvP7FTp9IZlvbv7VMZM0LzFhKBVZQv57hXJKZtmigVqJYZcMyIKdiFjyA5xOeFudUvQhR13NcqB/IPpYD/+wgRpzGs/TXaoi6s7J61gofx6aOKgxOwJXUGJSSurRr3AUlqRGyWcNBgIgkHkCYUUCaeYjLejFWdvpV1M1wsmrYyk+McmIfpQUGRgIgAAIgED6BAa1qECbD21J3WFNzBnaww/sq5kevKXugAUQYAJwYOFjAAJeQODMxWT+UaxHIdXIwQisTYcS6ACLyKvmSA9E3Z7d5UU7j9O4Zfu1bkT367P+9S3n3JFKVGv2n6YdrFMmjkapFnnoTNarqeTLczN/eRckSROtyWl2DcoWNpZvdiQcpRHyzoboqEl6zmCu/PXu/F0kP2DMtoHL1w+YsJaacUrcEx2rkDgybU5A875o6wTkhvu9XnVoOEcz2kxSNUdwFbWZw1qQOBJhIAACmScgzin5m1WheBCN/muvduD87ccp4dJ6w3EcmBc/szU4aIAACICAQqBbnZL0zh956RQ/4LXZlDWx9M6ddWxNvIOAHQF8s9ohwQoQsB4Bc5WjvLlvpgrFgnJsoL+aImMqFAs0ojfcNYDDZy/RMz9v1boX0fax9zYkqQzlabvO+SJbDifQir2naMW+k7Q5LsGlaSNJV6/TVu5TXjYrXiAvtQ0vQe2qlTCcN1bgYBubq97rcFrOtCHNadnek0ZElln3Tc6zlkstr520zkjhGdauMt1aq6TlHJqu4uHKfiT1KWLPSS3KTRzTU9YcNKLgXHku9AUC/kBAHOhPdgqn8vx9+NzP2yiZU95ttpofaAzhyNFJg5q4PVLZdk68gwAIgIC3EZCHAfc0LUdfLIlOHboU9Hm+a3WSCtYwEHBEAA4sR1SwDgQsRmD3sURtROEhBXIsauJKyjX6betR7fwi3u6u6BcR7X56xlYt3UlO/urtNalhuSLaOHK6EctRaOLMk3RKEbXPSZOnU5KuIi8JxGrDzqzejcIMHTJ3p3Lm5Dzlc9W+WojhrJvHn7uPF+2hw2ftWW89fM4Q95ebx4fbVKI+zMKXOLiD+Zs9a9H62DNadOBoTtOVFM6cqCbqjjmhTxDwNIGe9ctQCX6wMnTKRpLIRputij5Nj/64kavlNiZ56AQDARAAARCwJzCgWTn6KmJ/6oNgKYwxa+NhPFyzR4U1/xGAAwsfBRDwAgLmSJQaOViBcMnueDqvaOcIrl4NyriN2tcR0bSOb7JVk+iR+5uXV1fl2PJVfqo+j0Wvp68/xDf/Z506r1SCk8ip4nxzY3sFcHpgmh75P3zDc43iufKKVFuUNFH1Bii9k4lgsEQpyUsE0G+rW4rkB4AIo/uKSbrknfw5687OlZlcjXDs0mg6xsLuZjvIZeylqt4YTuO5jxnc16I864nlM++GNhOQSmof96lHfcdHpvJI5Bvu9/+MMjR7UldiAQRAwCkCLTmlefrQ5nTfpLWcPng19dilHPUoqbpSvRCpuqlYsAACIAACqQRKFcpvPIz9c8fx1HVTIg+S6GP5qnRG6kSxkCUCcGBlCRsOAoGcJbDjyDnthKKNlFNmFqkVDSJ3CT9vPnSWxizep00trEh+erdXbbdFfGknUxqX+QmQOE6+WR6TqWgrecLeiCPEapcpyFXf+MUaZVU4Us5ZId/TLPYuEXe7jp2jXaypJemJ4qRJz8QBMX19nPFqWqEoPdSmInWuEeozaXXC9T52XvZpHMbRb0foa35K50hfTHTiPucQ9HHLYkgcnqKnJSmJMJ1AU/7/e1fDMgZL25bZHNUnvOqx1hoMBEAgawSkotaUB5vRgIlrtAhiuSl78dft9GHvurgZyxpaHAUCIODjBAays0p1YMVwxoM8pO1QPcTHZ47pZYUAHFhZoYZjQCAHCSRdvUb74i9oZ8ypG3NxCiyNitfO7S7x9ovsiBk5Y0tqCLGcVFLlRLQ9J/PgJQLq25UHSKpJyfxvZJVLBBnpbm3Ci7O4eDHKnzf7VadE26p1uLyKp55aUheXs9bWMn6aL9oql/kz4cgkck1eklb3IFf369ekrM+k1dl0EiRVUH7kiGNxu8mxK0xEh0aqGcqrPjtk7uWoLHFoIb0w7RPzUvca9NeuE9pN9rvzd9MMjiBxV2pw2tmxBAK+S0C+m79/sCndP3EtXeSHIDb7mdNhynHFz+GsmQUDARAAARDQCTSvVJSqhhYgqTxts6+5kBMcWDYaeFcJ3PQPm7oCy/5L4PDhw1S2bFkDQFxcHIWFhfkvDAvNfCNXX+v99erUEbFEEO1441YK4nQgd9skduS8/fuu1NMEcDTMhlc6U7AbhBVfmLXNiCJKPRkvjOAf+0/dUlVd5bZlEWb/hZ0eoxbuMdL50jtR0aC8dAc7RO5mR0otrhCY0zf8l5JTaAE7cCQaadX+U0o6ov2IQ4ID6NH2lQ2BTF9z4MhXVyQ788azI0ue0t3ICuXPY1wvSbOsXKLAjXb1m23j+YehpA6qJgL6LSoXU1dhGQRAIAsEVvPf5sHfrafklDRhd3kg8+NDzUjSDWEgAAIgkJMEvOEeT7Ienv9lm4Zl1qMt3Vo0SjsZGl5DAKqSXnOpMFB/JbCNq92pJgLuOeG8EgfBDNZ9Uq1r7ZJucV79vfuEnfOqYbnCNLxjFfX0blsWYes7xq40vjhFi8qRNSpfhMbd15DWvNiJ3rijFqcKFspx55WMS8qyi4j+jw83o1X/60jPdqlKoQUdV2YUTa03f9tF7UYtpe85okwE+X3FxHEoN4IS7bBwZFvq17hsukLJ5y5fJXHGdvpkGQ2YsIbmbz9Gom3mzza4VQUqXUjXCvtiiZ6+6898MHcQyA6BlpWL01cDGhpRxLZ+RLvwSdbDOsGahzAQAAEQAAGdwJ1cEKNkQf13yTh+2AYDATMBOLDMRNAGAYsR2MoaSKrVyyGh7i18XjWUV8YgTgJXmzgXXpq9Xes2iFPxxvSr73bRWzn30zO3UJ9xkbTjyHltDLZG+2olDHHeXx5pQV1rl0rXSWLbPyffSxfOT090DKcVz3ek0X3rGRFhjs5/4vwVen3eTuo8ehlJZT+JNvMlq1YymD68uy6tfqEjPcMRe+YfQOpcJQXzsambqOUHS+gTrnB4NIerSapj8eSypGRKdJ5qwkacuTAQAIHsE+hcM5Se6VJN60iqyQ6ftplS/NyBrkFBAwRAAASYgGiePsw6rqqJ3MG+E3oldnU7lv2TABxY/nndMWsvIrD1sC7gXjeHhJZnsDC4aqLf0byS69OL3vtjNz+R1qOeXutRk3WcgtTTu3xZ0s66frpcE7NWT9KBHVfzn2xDkx9oasw7p1MF1bFktCxf+hKV9fvw1oazrXU6KSpxZy7Tk3zz1HPsKlrO8/e1DHKp9CgaMyv/14FL1zci0SZLzyTS7gsWfW/94RJ6+Pv1tCTqhKa/lt5xvrS+DzukzdF7n/+NKCxfusaYi2cJPNquMsl3iWrrDpwxCk6o67AMAiAAAiBA1L9pORLZB9WkOA8MBFQCcGCpNLAMAhYjcI7LcR9gAW/V6udABJYIqv/GkTqqiSC4q8vZroo+RTM45121tlVLUF83RHrZziEi7S/+uo0GfbuOjp2zT+UQYfbJDzSh79hxVZM1rrzJxMkmTkZJL/yZI8ZaVXHscBTx84E8fyn5vvOo7iD1pvmmN1YpV39rrZI0hfVmlj3Xnoa1rUSiXebIJBht8e54enDyBmr70VIauzSapBKkP5jooj3CN9iqrdh3iqtgOo5GVPfDMgiAQMYE5DtToonLcLSsauOkmuoNqsuq+2IZBEAABPyFQAHW9x3Uorw23blbjmSqGrh2EBo+TQAOLJ++vJictxPYHHdWm4JE2ki6lLvtj23HtApKIj7r6uqDIkb+AjuSVJPUwffvquM2bakd7LiRqKtp63SnmYwhmL80X+fIrwWsp9S+mveX7W1SoShNfbg5zRzWghqzfpcjWxV9mm7/YiU99/NWn9VlkUi+F7nqnqQXfso3kumxED5HOJ1QRPxbcHqhMJHPi6/bPfy0s3gB3bn3Q2Ssr08b8wOBHCNQODAvfTmgAeWWL9L/TKqlfrhAL6Jg24Z3EAABEPBnAoNaVuDK0WkuihR+0jhpxQF/RoK5mwikfTpMG9AEARDwPIHNh3T9q7osHC5OLHfbdJN4ewd26JQ0CT5ndwyjF+0lSWlT7QV2NJifVKvbs7P8C5cxl2qOh8/q55Q+JeVu4VNt6YFWFSkPR+/4kjWtWNSIxpKUukocXWY2qUMrJd7bj4qgTxfvpctK6Xfzvt7clmijOxuUoV+4os2CkW3ovublSBymjkwqhwkTce71ZX20xazB4Gu6YbZ5C5cBzfSnnbM3H6GES8m2XfAOAiCQTQINyhUhuSlT7Q8uJrHxIDTnVCZYBgEQAIFiLAfRv0k5DcS0dYf8JjpemzgaDgn41p2awyliJQh4L4FNh/QIrAZcmc/dtpfFEjeZHGeSPuhKE4H4b1fpT1OacsTQvRwN4moTZ8Rrc3fQsxxRc0UpaS7nCWQHxru9anOqWVMSQXRfNUktlJS6RRxd9lHvulTKgTPy8tVr7MDaRx0/iaBZ7LzxVYeNXOPqJQvSO3fWoXUvdzYi/mqXST9VdB2Lmj/8wwbq+tlyg4svVi+8t1k5LTok6ep1EocvDARAwHUEpKquWdvlHdaA9DUtQtcRQ08gAAL+SuCh1hUplxK1Kr9Rv+bUaxgICAE4sPA5AAGLEhAHgjh6VGvIT3HdbWbxdhHG7lDddSl14gB4YdY2Eu0hm0lU2Qe967hcY0vKlff7JpJ+iDxoO1Xqu6SSLWSHzr0cfWJlgfbUAbtgQbSh+rIzcskz7enZLlUdRiCJLtgz7OyT6KMV+0664KzWShJsvwAAQABJREFU7SKI00Ylhe734W1o7uOtWAi/DOVNJwJPKnIKF4lUm85PAn2pilgol63uVqeUdqGmrj2EG2uNCBogkD0CkkooTizVJMp66Z54dRWWQQAEQMDvCZTlwlF31i+jcfhhzUHWrrXPotB2QsMvCMCB5ReXGZP0RgL74i9QYlKKNnRJQ3CnJfETjlmb9MiL3o3KuDStbsKKGIo6rpfEHdk5nNPbCrh0atHxiXTXV6vJnIYpJxnMqRzThjYn+YL0R8vPkWdPdAynpSxwLg4c5SFXKo5dLOR9/6R1hth71HHfF/Wux9U9R/etT6tYK+vpW6pSSHBAKgt1QXSyXvh1O3VhLTXRivOVSLX7m+tphFI8Yn2sHgGqcsAyCICA8wQGtqjAFXb1752fN+jfuc73iiNAAARAwPcIjOCq0pp2IGdRSPVoGAjAgYXPAAhYlMB6Tl1STbShXK1DpfYvywt3Hmftm6vaanMeurbRycbB0xfpM05TU606i9IPaVNJXZXtZdEV6f11pF3VkgCO9Brdtx69cUctlzrlsj1gD3UQEpzPSKGbP6KNoQPmaBjL956k7p+toOd/2UrHHVRtdHSMN68rwY6rJ/lH08r/daRP+tSjqqGOHasxJy/S4z9tojvGriSppunt1qRCEZIKnKr9bKoQqm7DMgiAgPMEJNrY/H33N1dBheac8yxxBAiAgG8TKMfO/v5NdQmTmevjKNZUnd23KWB2jgjAgeWICtaBgAUIbDyoRz/IDaa77SdOG1KtZeViVLG4flOrbndmWXQ+XpmzQ9OhYmkmTh2s61Jn0l8suD1gwlo6d1l3xJXjaKtfH2vJaWJhzgzbL/YVTSjRAftucBOHDhtJ95zJUQLtP15Koxft4chAna0vQpIbzd6NwmjBiLY0cWBjapiO/tyOI+fp3olr6fGpm7w6tF3SaPs01n8oisj0hSt6FKgvXmvMCQRykkCPuqW1YixSkfB3juaEgQAIgAAI6ASGc7aAPHy2mVQkfP/P3bYm3v2UQNonwk8BYNogYFUC5gisxixy7k6TlLu1B/SoL0kvc5XN3XKUNZX0SJVBnE5Rn1O3XGXigBs2ZYPmJJO+5RxzWOOoVulCrjqVz/UjDgzROvuTHTYfsh6ZoxQ6Eff+nMO32360lCZyKqiknPq63cz5lZ1rhtIsrl4oTr46XAnUkYmz55bRy2kKazR4a1rhXVylURVNvcQVKefjxtrR5cY6EMgygUKBeeiWGqHa8XO3HNHaaIAACIAACBCJRqe5guvCnSdo9X79fgKs/IsAHFj+db0xWy8hcJR1dg6f1YUKG7s5AmuKSei8eIG8RuU6VyCT9Ii3f9+ldVWSv5SeYSFxV9lkrmr40uztmji89N2hWgn6aUgzKhqU11Wn8ul+xIHRj8sXR7A+lmhBSaVGs53lNFOpntXh4wiS0sa+WJnPPGdx8LUJL0HznmhFX9/bkDXb7CMTJVrpVY4ylMIBcWcumbuwfDuE/0+2r1pCG+cc3FhrPNAAAVcQ6Fm/tNbNBo64Pu8Hka3apNEAARAAgUwQeLxDFbvf8G//vpuuqdWgMtEPdvEdAnBg+c61xEx8iMDaA6e12Ujp7aohwdo6VzYkJeyXjbqQrKQTSRqVK+yDP6Po9MVkrSvRoQrOl0dbl9XGtysP0Bu/6Q4y6atv4zCawOlfgXlzZ7Vrvz1OmIkWlDiyBjRzLPQuFQtfFEHzMctp3tajXht55MxFFkeWVOxbxBUs3+1VmwpzNIXZRPz8ts9X0CLWlPM2k7RJ1SJjTlM8V/OEgQAIuI5AW3YUqxVPOcOetpqqDrvubOgJBEAABLyXgNwDyQNV1XZzoSFz1XR1O5Z9m4Br7k59mxFmBwI5TmBtjJ7K17RiUZJUJnfZr5uO0EVOF7KZnOo+U1Uy2zZn30XLazqLLqp2C6dkda1dUl2V5WVJZXvLFN0lnUm58g9ZXyt3LvyZyzJcPlCE3t/rVYcWssOmC183RyYV656ctpm6s9Pm790nSPTOfN3kc3Vvs/K09Jn21Mfk9JG5n+cKokOnbDQiD5O5co63WEdOIw1Sou7kUs7n9EgYCICA6wjky5OLapUpqHW46WCC1kYDBEAABEDgXwL9m5SlaqH6g/wPF0TRqQtXgMgPCeDOzg8vOqZsfQJmLapm7MByl4mz4fvIWK17cTBJ1cPsmoT3SkqVanJz/CZHX7nCJiyPMVLZzH09d2s1Tk+sRhItA3MNgXD+4fANR7PNZiH8FpWKOew06ngiPfT9Brrzq9W0dE+8XziyinBq6iiuVjj14WZUtqj9/5lJHB0oKYXeEsUkN9ZdaunO5d+gg+Xw846VIJAdAg3L6YVZNh7SC7dkp28cCwIgAAK+REAeGr7Wo6Y2JSnWZJYn0XZAw2cJwIHls5cWE/NWAqKdIxEtqjVPx2Gg7pPV5VXRpynmpH4+EVd3hf3Igta7OMxXtZGdq1JpFzjHvmPNq3fn71a7Npaf71qNJF8e5h4CDfimSzTFRNC8XphjQXNJhXngu/XUix1ZEX7iyGpVpTjNf7IN3V63lB34zYcSqM/4SNa18w5drB719DlIFKW3jN0OPlaAgEUJmB1YW9iB5Q/Rqxa9HBgWCICAxQnI76we9XT9QCkQtWzvSYuPHMNzNQEIw7iaKPoDgWwSkBQs1UR8vGYpPdVA3Z7dZXP0VZWQAtSisuMIG2fOFZ+YRB8v2qMdUjW0AA1uVUFbl5XG7M2H6U0HmlcvdqtOw9pVzkqX2TpGIs3E6Sg3+acuJBshzacSr5A8HbqZo8Ak/VMyGXPffLOhmVSqUD4qVSg/v/JRmSL5vU6jyyZo3pp/TCzadYI+4eu898QFO4Zb2JE1mB1ZUgVyZOdwase6L74cFSeabl/c04DE4SxprWrq4MHTl6jf+DWG8698MXsBeDt4HlzRukoJEs0J+fzaTNIIh7bN+f9btvPjHQR8jUBd0wMASTuWAhkoOOJrVxrzAQEQcBWB126vScv4waj8vbTZK3O2GzIX0Lu1EfH9dziwfP8aY4ZeRuDvqHhtxO25ip679K/E4WJ2mA1sUd4lTob350dRovIFI5N6u2dtypNNTSoZ77M/b9MYSePl7jVoSNtKduvdseIEi1ov5yc+O46cox1Hz9Mufl2+mqYh5sw5JcuxUvEgqhtWmOqUKUT1yhbi98IuE9B3ZizO7ivOqFs53awzl4SXMvCf/b2PxFFjNn9yZAkT0Y8Tp92jUzdyNcLLqTiOcHXRvhyJNfXh5iSOYquaFG/oytd1xoY07brftsKBZdXrhXF5JwF5gCFVX9VKWhKBDQeWd15PjBoEQMD9BEoEB9BL/Hv/BS4gZDP5nfUhF4t6k+8xYP5BAA4s/7jOmKWXELhwJYXMAu6dqjsWznbFlKauPURqFdoCAbnproZ6FbKsnGcNVy6bvfmIduhdDcpQs2ymQq47cIYem7pJ+8EvJ3m2S1W3Oq+uM6QdR8/R0qiTtCTqBG09fE6bW3YaIpK9n1M45WVjJjphLSoX54il4iTVqqwesSM3YfK5kdDuOXzdv1gSTYf4RsxsNkdWPXbujOhUhTpUC3GJs9R8Hiu0a7Mz8tdHW9F9E9fSnhOJqUM6cf4K9WdNrB9ZM6t6SfdFVqaeMIsLt3MaoerA2s7OWokyrMjOVhgIgED2CYimS+nC+TQndxw/VJK/jzAQAAEQAAHHBPpylXQpPrUuNq3g1feRB6kTP0yV38ww3ycADSzfv8aYoRcRWMFRPcnX0iqW5cl1E/8xLu6WGSRxxJC5BG3vhmVInFjZMUmbMgu3B+fLTS/yE5PsmEQ7PTR5PV0xVXR7qHVFt2leifD2l0v2UdtRS+mOL1fRmMV7Xeq8So+HVIRczJFmr87dSe1GRVDHTyJozF97KTrePk0vvT48sV6i6/rwD4u/n2lHH91d16GouYxLNLIenLyBeny5khbtPO6zui/ypHDa0OZUq7TuqJI00/smrqPj55I8cZkydU4R6i9eIK+27zzWmoCBAAi4jkBY4UCtMzViU9uABgiAAAiAgEFAslI+6F2H8uXR3RjP/bKVEi4lg5IfEMjenaofAMIUQSAnCfxl0r9qytUHRVfHHfbzxsN05qL+h/5+Th/MrknVtX0mR8uzXBFQbuazapLqKFpKiRyhplpvjvqR1EFX6iqJiO6Kfado6tqD7ESKt4v2Us9vXi7GemUyT3kVLxBARQL/dQBc5z4lTeQqOyel5O/RhCQ6du6yoXdi7sNRW0T2JT1PXqKHdkf90hzxVIZCgvM52t3j68SRJU/IenHUnUSVfZlORNaOI+dp6JSNVIPn9GTHKkY6orvSZT0FRdKBfuKUwUHfrSOJQLOZfA4kxXDG0BaWTBeV6JDb6pTiCqUHbUOmuVuP0JMcOefK/2+pnWMBBPyQQBhrIKom3wswEAABEACBGxOoVKKAkUr4Gj/otZlEuMuDX9Eihfk2ATiwfPv6YnZeRCCFnRtLTPpXt3A4rDtMnCkTV8RoXUvYbZWQYG2dsw3R+PmcnSyqSfSJaAJl1c4nXeVonfWG40ft45aaofQhP4FxlcNDHFcRHAEnkU7bMpEiGMyRaiJ2L0K8ki5Wq3Qhp510lznSKur4eUNLS84pr73xiRyRpM5UX5aqjvL6eOEew+Fzb7Nyxjis6FRQHVmSWvjl0miHGlm7eT6Pcmpo9ZLBNLxjOHWrXdJl11Wn55lWocA8RtVG+Ryvjz2bOgipTigloN++05q6DXfUL6M5sMSRupP13uTzDgMBEMg+AfODndOmh0rZPwN6AAEQAAHfJHA/31v8xYWE5KGzzX7betQoGHR3o+zLodj6xLv1CMCBZb1rghH5KYENXKo+gSsQqdaZnTTuMEnbMottD3OBAPrbXBlQFTMXgfL3etUxhGqzMg9JR3z0x412Fe4kvUmesEiUSHZNHFeR+0/TJ+y42sjX4EYm+j+i29SxeghJdJyIXWfH8rPWVYNyRYyXrR+JzFmx7ySLxJ8y3iXdzJGlsBPyD64MJy8RgRcnYd8mZbOdAuroXNldZ0stlIisOZyGNpYdWaKnZLao44n0+E+bSKpViiNLIoBc5aA0nyun2xJJOWFgYyNtUk0TmrLmoCH43tuCP7YalitMEiFy+GxaVIj8OIQDK6c/PTifrxIoxpG6qp3mv/8wEAABEACBjAnIg9tRd9ejWz9drlVNFhmT+lwQKbsP5TMeAfbwFIHs3X15atQ4Lwj4IAF5iqCapIqFFdH1MdTtWV0Wh8345Xr0lURJteRoouxYBJe1XcCOMdUGNC2XZUFaGefLs7fTqujTapcUztXbxt3fiHPfc2nrs9LYf/ICDfx2HQ1goe30nFf5+Tz9OB1uzuOtaAlrO73Woya1Di+ebedVeuOV1MNeDcJoTL/6tO6lzvTrYy3pgVYVbhjdFcPOoLc4kqfFe3/TO/wulaysaOJwlKdii59uR5/1r59uJb69Jy7Q8Gmbqetny2nBjmM+o5FVmFNKv763EQWYHJ8v8ed8DzvvrGby4/AOFuZXbR47sKSoAQwEQCD7BMw6c6fTeWCR/TOhBxAAARDwPQIluZrru730KHZ5kP741M0kWr8w3yQAB5ZvXlfMyssIiLPG7MCSFDl3mER6qVo8co6hHH2VnRQ0+ZJ4fV5aHrr0Kdo/z91aTRazZGMW7yPR6VJNnDvfDm5ChfJnTxfsImtpfcAld7vyUxs19Fg9l0Rbvd2zFq19uRN9yILk9bkyVHYYqX1ndlmijxpyhNbrPWrRmhc70U9DmlEfdgCZhStt/YlG2ETWIGvHovMSubbtcJrmkm0fK7xL1cKenJ62cGRb+nJAAyPiytG4xJH1yI+bjKilpZxeK/9PvN0kekmiElWTwgTPz9rmlN6aerw7l0VvTbVjLDyvVv5Rt2EZBEDAOQLFgvQILInAhYEACIAACGSewO11S9M9/MBcNan+/OZv+n2Juh3L3k0ADizvvn4YvY8QkNSpQ6aoGXc5sCaYoq/KFM5vpGplB+U33Kc5JfGFbtVJIk6yYpKmZNbSkkiobwc35sp22YtK+5NT7jqPXkbjlu1nUXV7h4ikTEkFvb+eakv3t6hABd0kou8sF3H6tKxcnEb1qUdrOTLrDY4Ek2g0RyYBMn/uOG5UTrx/0lpaE3Paks4fmZP88Fgwoi2NHdCQqoU61mATsfcHWD+q3/g1HCmXVjbZ0dy9YZ2kC4p2g2pSmXFKZKy6yhLL1UsWtLsus7l8NQwEQCD7BIqZKn0mXL5KoocJAwEQAAEQyDyB1/k3seioqjZtXRzNMj0IV7dj2XsJwIHlvdcOI/chAot26umD4lSStD5Xm+gOmSsdPti6Yra0pCRdTTSNVGtUvgjdzRUCs2LbWchcSuGqxn4O+pw1r+qGFVZXO7UsYvBPzdhiiIVLFInZQgsGGGHIS55pb1TQc4W+lvkcrmpLBNrgVhVpETvZpg9tTuLsFL0xRyYRZv2/WUN3j4ukZSxSb8UoJok0u61uKfpzRBtOsUvfkSWRP72/jqSHv99gyZQ7R/zTW/fybTUM7TJ1u+iwWVEDpxdXvFRtPjuBEZqvEsEyCGSNgNmBJUGmZ01amFnrGUeBAAiAgP8QEFmRL/lBaCBry6r2Iks0WDUbQR0nlp0jAAeWc7ywNwi4hcBCk3ZUl1rikEjHI5GNEUxaGcMOjLQOgvPlpn4s/J0dkxBdSYGymTib3uLUu6yIb8cnJtHQKRv45jitP+n3jTtqGU4a2zmcfV/LEUjdP1tBs7kSntly84CHtavE+lbt6d5m5d2mbWU+ryva8hlpzoL2Ig4e8Wx7epCdWgW4OqIjE42vQaz31eur1SR6ZVZ1ZHVj4XZxZInDslKJIEdTocW7Txj6WM+zo9NbU27kx9b7d+mphIlJKTSKq0tazXpyGqH650hSVc0pz1YbM8YDAt5AoIiDKOUzqEToDZcOYwQBELAYgSqclfCOqaqzFIMaNmUjnUxEerbFLle2hgMHVrbw4WAQyD6BQ6cv0a5j57WObq1VUmu7oiE3+r+YQmkHNCuXrsMjM+dcEnWCnQnx2q4DOe2uVulC2rrMNCSiQ75kzNFRMkbpMysmfb77xy7qP2GNVknN1lfrKsVpAeswvditBgWl4/ix7Wv19/LFggyB+dUvdqT/da1OohfmyET/bPB36w1HlpUjskQ8fBFfm485ZVIiEs0mjtiZGw5Th48j6LtVB7wy7aYZOx/vNGlMzdgQR9Hx1hJ0L1UoP7Xi9FXVzPp06jYsgwAIZI6AVGgtHKhrOloxCjNzs8FeIAACIOBZAndx9sfglhW0Qch9xeNTN5E4s2C+QQAOLN+4jpiFFxMwRwUV4R+zjTkFz9U2ccUBLbJJIo/Mf+SdOefl5Gv02lxdIFEqKj3dpaoz3Rj7SjTQCyxivfmQLjretGJR1nqq5XR/csDRhMusmRRJE3jeatSZbJPIM6mCN+WhpulWwpP9vNFEs+vR9pVp5f86GCL0jpw/Mi9xZElEVj9OL1zPqXlWNFvVwiXPcvXH22sahQHM45SopTd/20W3fb6S1h2w5jzMY1bbL7DzVA15l8/quGUx6i6WWO7VQE8jXM7pqFZztFkCFAYBAk4SMD9siEekgJMEsTsIgAAIpBEQiYZmfP+gmkhQvMMPtGG+QQAOLN+4jpiFlxIQx82sTXqlPRG1drX+UsKlZDuB6Dv5hlQiK7JqX0VE20U1yc14VkTPxbk2Z8tRbSgipi56SHlzO/9nSkTLe3yxkraynpbZmlYoaqSoSRU8d6Rpms/nqbakqIkIfcRz7Q1R+nLpiN+L06cP62MN/m4d7Thiz8tT41fPG5A7F4lW2/LnO9CITuGaw8e2n1Sc6csOyxd/3U7nWAjZW0xKQEvqp2pzONX1CDtgrWTdObXTHCki/29hIAAC2SNQsmA+rQNzFLK2EQ0QAAEQAIEbEpDI1rF8/1Caf1+p9kPkQZqx/pC6CsteSsD5O0MvnSiGDQJWJLA+9qxd9UGpUOZq+3ZVLF3kiCmbiU7V4x2q2JpOv+8/ecGo4qceKI6h3iaxZ3V7esuR+0/TBwuitM1BLMI4aVATKpZOGpy2s9IQh+CklQfo3olr6bRJR0QcYS93r0HTWPQ8rEj2Khkqp7T8onyR921clv5+pt0NHVkRe07S7ez0e3LaZpK0Viua6Hs9dUtVWsp6X+aIINt4p607RLdwlckFXIXRW+yBVhUoX560r+MULiNprhbq6bnk5/+T97FGnGq/sqPNWzXI1HlgGQQ8SUCc2KqdOJ+kNrEMAiAAAiDgJAGJbB1/f2MKMD0Ef3XOTtp06KyTvWF3qxFI+8VstZFhPCDgBwR+2RinzVIECOuFOa8fpXViakj1PdEIUq0H6wtVLO5YIFvdz9GyOIlem7uDrl7jXKf/TNIR32bhRGcjmiTN74mfNtE1vmG3mYhFi4B3NVM5XNv29N5F72rE9C309u+7tP5k/wrFAmneE61oSNtKlEu8d35omiOrd12HulKCZd7Wo9RpdITBUSL3rGihHLEwpl99mjmsBdUoZV+tU1JwHvlxo5GW6g3V8sRR24+djKpN56eEZ01OWHW7J5YHtuQiB+wQtZnoSfywOtbWxDsIgEAWCNhHYFkr+jILU8IhIAACIOBxAnX4fuqD3nqxnORr1+kR1tuNx4MCj1+f7Awg7ZdodnrBsSAAAk4TEA2p+dv1KJHeLD7orBMooxNP4ZBZ0QlSLTvRV+LgWBV9Wu2OHuL0rqw4nB5lJ4M5Umpkp6rUqUao1n9GDanadB9HXcnYzNaxegjNfaI1VS9p7+gw7+sPbcORxZUnRVfqjR41Wew9r920xTkpkWxtP1pqvF/lL3wrmmik/caOyVdZH0vVkbKNdfr6OCM98vBZa0aU2cYp7+JcFUewzaQS55wt9lUzbds98R4SnI+kIqFqEt1pNUebOj4sg4DVCZgjsKyWPmx1fhgfCIAACKRHoFeDMOMeRd1ue8h5JSUtM0XdjmXrE4ADy/rXCCP0UQKLdh2nC1yO3mZy75peWpRtH2ffxUn2LTsiVOvKFQ6rhgarqzK9LNFc7/yxW9u/FKc/PMm6RM6YRHG9MmeHnUaVOJuGd3QutTH21EXq/fVq2nDQPiRY9JImDmxMhfLrVZ6cGauv7iu6UoNZe0l0pZ67tZohbG+e63l2fEpEW9dPl1PEHr3apHlfT7VFL04cqIueakvtq5WwG8Z21vUSPbRV0afstllphaS1dmOdKdV+5iqLVrOh7GiTKEmbyd+wccv325p4BwEQcJJAeY4QVi321CUuPJIWlaxuwzIIgAAIgIBzBF7sVp1aVi6mHbSJi0a9MQ+i7hoUL2rAgeVFFwtD9S0Cv2zUb05bVSlO5iex2Z2xpCGZI5yyE301etFeOmmqkPQ6VwkMYm0iZ+zHtYfIPH9J85O0sJuVKJSM+tx48Az1+moVHWAnlmqilTRpUGNDL8mZ/tQ+/GU5MG9uQw9t+XMd6GF2BKkpYjYG+09eZJH39fQAC72L/pkVTRxA3w1uQp/0qUeioaba2UtX6f5Ja2n8sv2WvjHs21jXv9t17Dzt5peVLJyd3z05BVm17zmNEOH4KhEsg0DmCZjT+cUpfPLClcx3gD1BAARAAATSJSAPOr8c0JD1b/XCVaKZOnXtwXSPwwbrEoADy7rXBiPzYQLHzyXZRYTc7WLxdtGn+WZ5jEaxXdUSJDnhWTGpUPdDZKx2aAeOeLm1lnPpftu5MuDbv+lPPST96xsnI6X+3n2C7pmwlsQ5oZpEhP38SAun0xDVPpxdvsg3HDHs2BFG6kucD3Jjr2p8Odt3Tu1fJCgvvcKpeCL2LhppjmwpC71LNNbHC/eQFbWlJP1WiiDMebwVVTJpvInM2vt/RtH/Zm2j64rmmqN5empdy8rsxDZVJJvNQulWs5Gdq2pacpLu+OXSaKsNE+MBAa8gUJqrAZur7R7ghwYwEAABEAAB1xAoyr9xv2FRd7VgjvT8xrydtCH2jGtOgl5yjIBzYRM5NiycCAR8m4DclKr30BIx1KVmSZdOetamw2Qux/2Ek+l5tgHJDb+k/Kljlsoeb97hnHD7OXY2PTp1I4mIomoSNeNMWuNc1gZ6ZuZWkmptqtVkQe/vHmhCIvLtahMGsacvkqSkiRNOomPEESkVo9QKj47OK0FlRYMCKCQ4gCRdRMZZs/S/L3FYuFr3zNEYMruubNFA+oJF9AezYPeb7GjcxnNVTfSxxFnx+7aj9G6vOiSRg1YziRKaw9pYT8/YSovZ0anaTE7Ly5cnF392a1mKu4xRCgzc2aCMVuHzN9Z1k/B3K31GKrBzUKLFpq1LK0IxlaMqRR+rUfmiKm4sgwAIZEBAooQrFguiPScSU/eUqNdmlfSUl9SNWAABEAABEHCagPzu/ujueka1bdvB8pv2kR830e/DW7s8C8Z2Dry7ngAcWK5nih5B4IYERNtCnEuq3cbaN1Km3lUmwoRf/L1P665phaLUhF9ZsZkb4mhLXIJ2qKQiljNpd2g7mBriAHp65hY6fFavsCSaOmbtH9OhWnPKmoNGFUSzRIhEg33BIcLiDHSVxScm0ZLd8YYTZG3MGUpUNMucOYf42U5xSoi8xPH154408f5i/FSoBefmtwkvTq3DS6RbHdCZ87liX3FEzHmslfFZ/Ygjrsypo7GnL9G9LJx/V8My9BpHbhUOtBeDd8U4stpHwXx5+GlbIxrLzrbRi/dy6mBaTz9wYQP5nDzftXraSoss3dmgtObAEie0fGZqlc5a5KS7pjW8Yzh/No6QRHqKSZShVAGdP6INCXsYCIBA5glUCS2gObB2HNUfHGS+J+wJAiAAAiCQHoE7OMNgJ/99Hb8sLUNFfpsP46JSM4Y2Nx5wpncs1luHAFIIrXMtMBI/ISARPNHxuo6QpD250mZw9bWjfOOrmrNC67ZjpcLYhwuibE3jXTQ7hrWrpK3LqDGe0xn/jtKFwBuXL2IIiGd0rG37VxHR9CpHgqnOCNkm1RsncAqiK5xX4qgZx1pJd45dRU3f/Zte+HU7O7Dis+y8so09vXfRKPt92zFObdtOrT5YQh0/ieBUt91GKqKnhXwlMqBP47K09Nn2xvVWq+TZ5vMrOzE6j15OCxSnnG2bp99l/MNZyH/8fY20Cn8yrq8i9vPLemlv1Th6rGxRXadBnKhWs9KF89NwdmKrJs7pl2fL/0/FW6jugGUQAAGHBOqW0R3U2w7rD4wcHoSVIAACIAACThN4/tbqxkNj9cCt/JD+tbn4/aIysfIyHFhWvjoYm08SkGgm1eRmVRw5rjLRJvpyiX5j3rRiUU71ylo6wkcLo+x0piT9SqrYZdbWxJymUdyPahJ5JKKKeVhcMTM2+q+99NGCPXa7PtCqAo26uy6JSGNWTW64I/efNsKKW37wN33AWknmiLPM9J0n102GCLoIoctLrdaWmeNlnxhOHZEnQ7dz5bxOo5fRpxw9JJUWPWniGHyxWw36/cnW1LBcYbuhyNOrR/jp1RM/baKES8l22z29ogtX3vysfwNif5Zm8nmaEhmrrfN0Q1IFO1XXdeUWmxy/nh6j7fyPsQNLIjtVk5RHc4EGdTuWQQAE7AmYtSn3HE8klHi354Q1IAACIJBdAiLXIFIZ5VgyQzWRmJAsD5j1Cbgu18b6c8UIQcDjBKS60JzNR7Vx3NUgzKnKe9rBDho/sRZNvKlS4DO3VM2Shs6mQ2dpOkdzqda9Tklqy2LwmTVJw3vip82afpY4dj7nL4/MVl0UJ87nppRIOf/IzuE0giNssqoPJDcIP/MX1qSVB+wqGaY3vxKsYyVPy2vzq3JIAQrltmhuhRQMIKnop5qkVZ3hCCuJ6hIOopkVxTcmRnW5o+czjOoSZ9ani/cZL0kxvK95eXZuhGTLWaeOz9nl6iUL0i+PtKSpXLnlI3bymVMqJZJs48Gzxg+DxibHhrPncvX+t9UtRRev1KXnWcRdtddZwFOuZYNyrnMiq/1nZblTjRCavDo29VB5MiifIfnsWcnkR+CY/vWpGwv7n09KSR3aq/wUU3TI6pe1d3am7oQFEACBVALyN0g10WWJOpZI9fB/SMWCZRAAARBwCQGRvfhmYCO666vVdCn5Wmqfb7H2q2jyNocGYSoTKy7od1tWHCHGBAI+REDE28WJZTOJCOnXpKytme13ib76mtPfVGvNIttZEYO9ykLrL3H6nJoNJNUCX2W9o8yaOHBGsi6OROio9jRXMcus+Pdn/zlw1ONlWXSXHmxd0bw6U22b4+or1kcyp1qaO5Doo3asr3VLjVDjCy2UHVWZdZjJDb44HeRVkwpqXUvU16Ezl4zIrxXRp4yqlAmmiorqASv2nSJ5leYqiwOalTOcWZ7QnZK0vPvZkSY8Xp693S4tVDSb+n2zhv7XtRoNaVMp06zUubpruS//X5P/f2/9nlYFU/TJnv15K/3xZBvLaB80q1iMgvj/mlocIJKjGEW7wWpWhlMJP+hdlx6buil1aFKV8OHv19O0Ic0NR1bqBiyAAAg4JCC6cZVKBBkRuLYd1h04AweWDQbeQQAEQMDFBOSh7MdcREr9/SLFoR7n3zPzWNRdft/ArEkg6zk31pwPRgUCliUgDgtzulJHThUSLRlX2TSOjDGLbT91S3iWup+8KtaIFlIPloinUlzyO7P2xZJ9tJpT81Rrz84gEYDPjEnU1RiOvjLbu71qZ8l5JULy05lRh1ERRlXF9JxXUmFRdLW+f7ApbXy1M43lVEepDicRY5l1XpnHbG5LP+W58lT/puWM/je+cgvNfbwVPdKu8g2/NGXMHy/aa+hlvT9/txHZZe47J9rCYuKgxjSmXz0qlF8X7RbH5Xvzo2jolI0klSetZOL0fLxDZW1IUvFrDKeoWsXy8ufP7HSWFFerWncuQiFOVdVOXUimvuMjSaLHYCAAAhkTEMe1aiv5wQYMBEAABEDAfQTk94v5N6Fo0z7Cv18lKABmTQJwYFnzumBUPkhAnqbuPaGLtw9sUd5lMzWir1iYWjVJO8tKWfv/s/cdYFIUXdf3k5xzzkvOOeeclWBARSSoqKhgwPCaXxP6GlAREBFFVAQDICAIKjkvOecl5xwF9P/vae3dqpqe2ZmdntmZ3XufB6Y6VVefme2ZOn3uuYfOXiF4TqlRoWA26tfYf8XTUv7x/aGR9leISY/3b6/hV8qkVT3OGAPG81q3KnR3/cBx28Tm+d1HLbVM2b0RV2U4JRAKs+XPtab3bq9OzTlVMhCvLxWvQNtQayFd5NmOFWjxMy3px4caUd9GJbm6n04O2f1CnQNj/KZvz6OXOWXryDm9uqO9XyhfQcJ15xTYX4c0o0ZcSdGMuVuOUZcRi2jjwciqqPU4KwCrGik7Yxbt4fTH0+YlJNtyQ0O+Dh+5SA744pk+e2eYvLzrs+VMYstEPJLfOxlbZCAAtbQa+M1gV/lU10tbEBAEBAFBwD0EnmhbnlDJXA0U3HrOykKRojQqLpHSFgIrUt4JGUeKR+ArwxgQlfzMH6zBgABlkel9BX+opMQr7At0RXnyAM+qN3tU9dtwHX5Pj3HqoJp+aJsm5mbz9sQCJor/+9XTsP21Wypb6WuJHa9uhwfVfzjVreuIxV7VIDC5//a++jT38WY0gBU6ufwYo3oOt9sghmqzsf8rTAqATIPE2ZsXyp83/qbxy/ZRC1aVwSj/wtXwK56gxpowoD6h0iU+K2ocOH2Feo5eSnM2H1VXJ2sbhv8gKGG0bwc+q0O/3xAxxsmm/8JeNvKHh1qkBooxjOJqj6bJP4jWvuNW0WTDSy9Sr0PGJQgkFwINjYcA+A5eyz6UEoKAICAICAKhQwDzk+Fc6AfzMjVg+zKOs1EkIg+BhF/vkTc2GZEgkGIQQFrfr5v0CTwMueEn5EZc4UniSEN9BTVEUoy0f2PVDJQzatzJaW61/DS5RvrYYxPXevheDW1f3q/xTFt3yCplq54fbYu8aljSXO11GSmbP605yMTOPIKxvUqm2QfVLZnLIq4mPdCAGvHTb7fSA+3+3XjNmC4N3Vq7qJVe+PMjjemWGoU9qunhPCCyPpm32yKyQADeYA+zcAZ+ADzBxQLG96tHJkkJFQGqFJoVOMM5PvNcMOl8ol05bfUeJol+XH1IW5dcC5UKZ6fsGXWbyhV7I1uFBR+fr5kIhvJTjWv8WYR5/gNfxdJhVndKCAKCgCcCuG9WKqR7Jc7fccJzR1kjCAgCgoAg4CoCsMIYc09ty39U7fhNtupYKPdhFZKIaAuBFRFvgwwipSPwIxMpMAa0Ax5Lt7LHklsxflmcg/pKn5z7cy4QYa9M36ztmjdrenqmfQVtna+FEX/souV79FQsSHMfYEPvxOL3rcfoicnrPcimV7pWonsCIK+gunro6zVWX2p1NPv8MfyUBf5Wkwc2jFjiyh6r+lqtaE76kJ8S/fFkC+rFhuTp0ngSoMjdf3HqJurw4SLLIF49PhxtVKic+VgTS0Gmng8f/6d/2ECjjSID6j7hbsNk3lS2jZy/i1DAILkDhGBdo5JjbFzkqzFQiRPeaB2rFPSAcA4T423fX2BV/Qw3weoxGFkhCEQgAigYokYkKVfVcUlbEBAEBIGUhgCqJ79/Rw3tsvBQftC3a2jXcd0CRttJFsKOgBBYYYdcTpjaEIASCOl9anSpVphyePE2Uvfzp33uynUaZaivoIBAWlygAd+pg2d0hcR/OlX0e6yr4k6z75XuneWv7xVMqlEJBF8WasCvqG8A3lt/bDtG7T5YSLMdUtYysZoJSrBZQ5pa/laRqLhSr91buyQTcKj8tmBoS65GWJxAdpiBL9s72X/oicnr6JRRBdLc1+1lGP1/x6q221g5ZsawWdvojZlbmKTU32dzv3AsA7eh7cprp8Ln/+d1h7V1ybVQmxWCasTui3wCC+OFb9wILnzQ3+HvFimFr3EVyG4jl1jeWJHwOVAxlrYgkJwItKtUQDs9CkzIxEmDRBYEAUFAEAgZAu0rFyTTfuXC1Rs0gCsrn+EHxBKRgYAQWJHxPsgoUjACy9h8Oe7UZe0K76xXTFsOZuEzNvIGiaXG0wEopuzjdp+4yKbgugk8SLDuXH3Pn0C1uSHse6XyTyAIPr6zZqKeUlsOn6f7Ob0IaXBqYAL8WGv/Khb+eeMvS3nU/8tYj/RF9NmlWiH646nmVgXEcBmzq9cSijYqWL7eraplot6moj7xsc/305pD1JpVL0inDCdZAE+kd26tZlVVtMdiv362aK9VBTKc47HPbb4i1bZm8Zza6s/Y0D0SxmYqsLYfPU/nk8HjTAPHzwX87b/EyskRd9WkPA6ecpsOnWeD9xXU7ZMlNGXtwYjxHvPz8mQ3QSAkCFRnlW3+bBm0vuds0e0HtI2yIAgIAoKAIOAqAiCwOlXVVeT7eB4HKwwprOEq1EnuTAisJEMnBwoC/iEwceUBbUdUuoNBtxsBZc24JXu1rpC6U7VoDm1dYguYrMO4/fpfCaqYtDwBfZ0r/vmjUsLxz03ZQKheqMbjbcom6nsFT5x+X66ki3/eUA+1fJ9e6FzRr/MfPHOZbh+9jOD9ZEYuVrqNuruWpQiBMiglBj5TSNuaeH8DqlJE91DB9Z5lchGpmVC4gWgMV+Czg6qKz7OKz4xv2JfM9G0z9wnHMsb4cAudJN129AKhAlhyByolqkbzIIfXRIkKy8YOatPfn2xO3kj79Vyh8vFJ66nxsD8sZR4qQf6tsuB2R/IqCKQCBOCL2dZQYc02/DNTAQxyiYKAICAIJBsCuA+/d1sNqmbMpVbw70JYdETCA85kAydCTiwEVoS8ETKMlInAkXNXaNbGI9rFwbvIH1JIO8jLApQslzklxw6+59KThjG1vc3X6y8bj9KinXqpe1Tjg9G1PzGJK4yhDzUaxOSmhwxiQN2ONpRjfb9YScfO/6lt6sAS3mFc9dAfk/v5249Tl4+5wiBPhM1oVSE//cqVBTtWLWRuSpHLqGI1bVATy/A+WwbdABwXPIsnQp0+WkQgCcIZ9zeL4R8D1T1SHVFpcsaG5E/Xa82fk5h8evWZmcbfbTjxss8FA3+TjI4EYs0en7+vOTOnp7d6VKPvH2xIZZlsdYqTF68R7mc9Ry2jBm/9bv1IxN92clTVdBqfrBMEwoUAUljU2MDfbahCKiEICAKCgCAQHgQypU9Dn/WpQwWy64rYSbEHLB/P8IxCzuINASGwvCEj6wUBFxAYv5SrwSlqgozp2LzdwRcoKaeC+uqrZXHaod043a9Mfv9IJ/vAS6x8gieNGvCteowltP4E/Dlena4fn5NVTx+wEaKTN5PdJ1L+HpywmnYc040R67Fx9fBeNSgtp6D5Cqg0hv+2g9VbqyyFkbovcH6ze1X6nFVJ+bNlVDel+DYwh+E9VC9ImzQDKrnbP13OFQt3efiNmfu6udyTP/dIJ2XBkxZQhq1J5lLxIEp78N+OGiD7TD82dXu42qaXHZ4ARmsgJXLmY00tgrUIp796i+NctRVqyr5frKLqr86hzky6QiH68/rDfL+4EBEm+97GLusFgWARaMQPIsy026lczl1CEBAEBAFBIHwIFMiekcb2qUuYU6jxBlcmRNEpieRDQH9Hkm8ccmZBIMUhAGLo2xV6ShvIK6gR3Agn9dWjrfwjndTzf/T7Tjp6/qq6il7sUomyOCh4tJ14AbngQyatpSvXE1Rg2OcdNhj3la4H+e0zXJEO/mBqlGYVzJg+tfnLIo262qMN8mvwpHVMYO1kKa++uRQbnE95uDHdVb+4a0o3/QzRsZSfv3hhpD26d23+zKXTBg1iBuqne8etJFRsDFd0YiWcmU6Iz9AD7H924LTuExeuMdnnwdjUOMEkSiwXJUjuqG8UY9hw8CyhWmi0RnquwAqCdcHQFlZqr3l95nWB/9/MHnlfLo2jxyautQo0VHppNr8uoEGcEvvWrK0WkT+XKxxuOnSOjvO9TDwqTBRlOZoQwMObrtULa0Oetu6QpK1oiMiCICAICAKhRwAq+OFGZULMO/B7ZBv7kkokDwKeOSbJMw45qyCQ4hD4kU2zz3PlCjWcqnKp2/1te1NfgbwJJHaymuHzxXu1Q1DBED5a/gQqDsKMWQ1UxWtnpECo29F+f+4OmmpUesvHxrVf9quXKMEHwgWEh1NFNqQevnNbNcqeUSdszPOnpuUO/F5WL5aDBrPBvpl+tnjXSerB1eDG969HJfIE9tlJKoZITUU6DDyw7ED6GPy5pjzcKFHlnX2M268x+bJShYLZ+AfJhfiuf+E0wvoxeeKXk6NRh1VLUNXZajD41EGx1rhM3uQYjmvnxCQdqb34t50xRyopVG/+VFwDBlBumupNdXBIoc2ZJR3lyJSOsqRPS1l5GaR8lgxprCqJINIy8D94jGEs8PxLm4b/8Wuam24ifuF//2elMTu2eds/+2L/f45FXyhegL7xD1VPM3MaAgh5nMut1HH1OqWdMhG4pUZhi7S1rw6FYFaz/x3uBxKCgCAgCAgC4UOgQ5VCVgVzPPi1AxWVB3DRKPxuxQNjifAiIARWePGWs6USBKAwGs+KATXaVITPjrP/i7qfP+1P5u328L4KVH2FMb7MaTlqiiMmYK/eXNmviRbUKaPm61ULYSb+QudKPi8BT5I//mOXtg8meV/0rUvFcmfW1psLqJTYn1MGUQ1EDUwgn+1Qge5rWsqvsavHpoY21HAweB/BuIN0VLJarQqZPUctpXGMfzWugBXqwCT+Ff6M7WfFleq7tpHVM2OZTH2weelQD8Fr/1BhqQTWIib4kjtAvFQpnF3zeAPxGO0ElopreSYOyxcsz/595ZnAukAwrZ63/QRBbaYWllCPSax9gRWw+HeA9MISiR0Xqu0gwbIxsQ5CLXumtBbJnourM+bLmoFA3ufNmt5Kdy6SKxMhvdIfBWyoxir9Jj8CNYrlJDyQUr2vvlq2Twis5H9rZASCgCCQChF4uEVp6wHbFCWdG5Yc97LVwaSBDeTBeZg/E0JghRlwOV3qQGDZ7lO0+4RuutqvcSlXLh43zK+NanvwvgpUfTVjwxFayuNU4/5mpfwi2VAxEN5FKhGSjtULkNn6Sv9bd+AsDeXUQTVAPn3CVQKrcMU1X7GKCbP7xsdaxu/qflmY/BrJaXLNy+VTV0vbQAA4D+aqkDDXf+y7tZpxPhRQvcYsp5H8PrQon9840v1FqFTwnnf7ZAntUf5OPmBlXjuuwOUW0RvoyFuUz2epA+3jMDaoHfMwyZCcAbJKLVKwgMmdZ5iwTYkBD79HWuFfWbrKqcnr+Z6Bv/1VcWcsub5Z8CFaMMC9EkUr8M+fQPXUorkyW/f10vzgo3T+LIRX3Od93WP96Vv2iXwEQPSjcuebv2yLHywUoajMK0/74yGRhiAgCAgCYUEA9+S3uLgUHr5CDWvH1iPnLT/fL/rVtdTd9np5DS0CQmCFFl/pPZUigCelasDbCcasbsSHbFx+7a+/47sCcfR4m3Lxy/40QEC9PlM3XsdT/0da+ueh9QYfi5u4Go+3LeeThEJFxvs59c/0p3mlayVqmQhpsnDHCXpgQixPaBOuG+cuzGbzn7NyqGKh7OpQXG3Db2vH0YtMSF6kk0xmgOwBqYFURp6TcsrQ//2TNsSkTNaMaakYTzqL5c5ExXNn4bS8zBGnpEBK3M+PNLEMsvHFaweqWQ5ggvD926vTLTV0Q3N7Hzdfkeb5LlcmhPrL9jH7k/2wnv1pI33HajF/KlC6OR70VYk/R1ADqpU9kapqVgVz+7yJ9QdydqSidtzC7xu8nlL6RBZEDT6vahrnucvXaQertGDmHsepqIfPXaXDTOofOXuVjl+4qpHqieEaydvP8HWeuXyOoExUA2mLULris1qJlXkg/quzchIVkyRSFgK31ylmEer29x7U0t+u3E9DAvy+T1moyNUIAoKAIJA8COA3yaf31KZb+Xcr0rrtgBgAD/U/7lUzWX672uNITa9CYKWmd1uuNSwIgKiZa1SnuKdBCVdS2+AP88Pqg9p13FWveKKpd9oBvADjdlPJAON2fyZBv7FZ8sSVB7Qu65TIRQObeU/9guk0yCsYY6sBXGDo7CvmbD5Kj3y7ViPtsH9VnrhZVQZdzj0/xsTAvG3Hae3+s7Tp8Ll/q56BqkpaYLIJ1VP9UpiI546IqoiorALJM6pAqio8+CwNYXN8RDhIrFrFc1G/RqVo3JIEHzb4dGGS1ps/G+EOeCHVLJ6TluxKUCau4vEkN4FVi/++4OmElDg7Fu486VpFU7vPaHjNwcokVDPEPzPw+YXCCeSy/e/C1euEghrwqwBxj3sRiFIQ03gFoY7jrvNDAbzeYH+tv5lR/Yv/8SKh2inW4w6AtGtrGy9j242//+bt/7ziODxYQD/oE9tDESAxkOaKfz/9m8oAEh1EFipWooprXX4VH8BQoB/ePlHwpRs/TPhuVcL3LbwDH25RxvJYC+9o5GyCgCAgCAgCeVmR/1X/+tRj1BLrgbaNyEzOaoElwMv8UF78Lm1UQvcqBFbosJWeUykCIHcw4bEDio4eXH3QjQDxpHRtmQQj1SaQ2MNKonGGcTsUHu0rF0i0G0wKn/1JTwFECt/7t9ewjIydOsCkb+gP6z3M3huXyUMv8Y3eV0xZe5Ce+n6Dhif2h5/YR3fWZLVM8LcwjA+TQRBzvzHxqKZq+Rqbv9tAOuLf18v/MS2HUfjNbNCLiUlhVr0lV2CCC9P8p75fTz+vPxw/DIbDWgdfnkalQ28U/lT7cjRny1E6eCbBqwjVJVGxMzlSpUCMqATWajZMT+5AyiXSCGczmWsHSjgDI4kEBJAmm5t9pfAvuQNEFqqzgjDDv0vX2JOLi3qAYDvP//B6iu+nJ5nUP8GKTpD7IM+h8Aw04BMGwh3/Pl2wxzKgr84eSo357xefm1olckpqQ6CgRsj+ffgBj0pg4XMya9ORsDxgiBAIZBiCgCAgCEQUAsU5uwK/n+/4dJn1cMweHKolQwjwdPvyQmLZoIToNfjZX4gGJt0KAtGIwA2etExalVBdDdcAfyo3noaDeEKlLjX6NylpGQCr6xJrvzFzq4dxO0y1/Xli8NK0TR4TLJBQuJl7C1Q5hN+WGiV5/0/uqmWl3qnr1fa3/KT5+akb49PL7G03c3nx9zjNDZP6YOIyTyincSXECZzuiZSscIWlnpi9nVDNpAGrsrrXKkJdqxX2S/3m9hhRKQ2+ZZjw44vXDkyIB7I664cHG7G5djZ7dUheQUIO61GNen++Ir5/pGpOYtXBvY1Kxq8LV6Mmq8LUQIU8qHCSI6VRHUfLCvk0AusPVglCXQRjcInIQwD3J/wL9N4Psgs+hwfPXLbStOHDhvTl3UyCI13Sn8BDDpvQGjFvl/WgAynszdnjDQ8rwlVx1J+xyj6+EUCaKFR1K9kHzg58p+J70J/vbPsYeRUEBAFBQBBwDwGonkdzOiEKS6nFZlDcKmPaNJbnrHtnk55MBITAMhGRZUEgCARQBt5Mzetdv0QQPSYcisqDqvoKyqf7m8Yk7OBHC15Sv/PEV41+TIL5YwAPeaxJREEJBZ8Ob7Fizyl6a1aCCS32y8Y+UWPvrUtIj/AWk2MP0H+mbPTY3KtuMXqje1Wvai+PAxxWoKoTKkT+uOagpYhw2MVxFfys4BMGQ+88TPigaliam26yUobstCEoKuANdoD/HUlksgml0zLGB//eZoz6Nyllpc2hSlk4A8QMJM8IlcSCWqTfFytpyqDGhJTDUEaTsnmpKf9TqxJ+umA3mxgXD3uqTEWDsIMfFtRhvkjaUGJj9400xuenbIonn5H+BsVg95qiwrIxSgmveHqLtGP8MwMpkNuYbN98GP/OWarW7ewFpip+zWOwDCUY7vv2vR8PEFCsAUULGrDHWHIoHZ3GKeucEejXuKRGYG04eI7WsDK0dgnPNFrnHmStICAICAKCgNsINC2bjx+o16DBXBgJv+nt+IC9ijOkuylZq2rbY0mpr0JgpdR3Vq4r7AggFW3soj3aeWuxnw6eoAYb+9kscOq6Q1o3fVid4osE0nbmBajDTON25HI/0rKMuavHMtIWXmA1lBo52YvmTa7I4e0pMNJhBrF3lTm5+rBXDcfJmd030tme+VFPU8S2AUzwoAKTt/PZx3t7haIBKZjwEFOJQKf94TfUjCd3NTkNB15beA8DVbqgghpM0lewhxKIvFiuoqZ6GKnnBfEFRRae3NzbqAQ90LQ0wesnXAFM4YEG/7ZfNx+LPy0UH3i6BCWWP/5o8QcmoYHPoUpg4dzT+DN/mw+CNAmnSfQQpE6iAhxMtO3YevR8shNY+FtvxuoZKK/smL7+iBBYNhip4DUr35fqsBoH/+wAqbWGCw2gUiPuNes4jVAt8mHvp77CfBZkNf5l5B/ZTcrko87VClLrigUCVoyp/Uo7NAi05cqseHgCZZ4d45bECYFlgyGvgoAgIAgkEwJQw+L3/tNGhfVh/GA6A2c5uFWBPpkuL2JPKwRWxL41MrBoQwBlVU3/pAFNAlNIebvmEfN2akRQJq6EcR8TOoEEzF93HLuoHTKU/Yf8IWZe+XmzNqFHJ69y2mH+bM7KHCiSHvl2Dacb6qbtj7UuS60qePfa+pU9fh5nE3H1SQbO9VirMoQqh0khr0C+fcJpNEhJ9DWxQ0XDdqxywWQBPkhIrwsmoGpAOhr+Pdi8tEUgoqLdVDZensnl0KFwMgOTUSjt4KP2EhNKt7BXVlKu2ezXn2X4B33IFVTu+mw5P90/G38I1B5v/LKFXu9WNX5dKBqoNFe3ZC6eiCd4TiFVJtwEFvCuUDC7pYyzr3PbkQvJbuSOsXSpVkgjsKCoREVMqAIlUicCILVAbOIfAimIsftOWz5uS3adtApRmPdTFSlUuIOSDzyT3nMAAEAASURBVP/Sc8ojlJAdqxay7oPhVoOq45J2AgIoLtGXH1i98cvW+JWzWe2N6pvJ6aMYPxhpCAKCgCCQihFAJgpU8S9O3aSh8Or0LZb/5F31i2vrZSF4BITACh5D6UEQsBBQ06+wAk9M/TFGTww+lIr/cY2uvrqbb4aBTFrPXr5GkLSqUZlVRbfW9p7+Z++LH8ogXNToWKWg5cGhrlPb77KaSCUisA3eK4OZwPIWC3gy/qiDYuuhFqWTRF5BcYbqdjAERxqYUzBXQS05lQbVEDEBBIkTqsAkBOk6+AfPMVQ6nMg+TyAhzIBZPqoBIs3xDSaOwpW+BtIN6Z09uUQwUi3tgAF9xyqFLENoe10oXvFer/oyNr5r+IXBgyrUPlzxJ/y3gfMhtdOOXexBFAkBchXEKqrcIVCRDgbPg/xQUUbC+GUMoUcASkmkNeAfAveSRTtPEO6vuNf4MokHwW+nGqKyYRM2gO/M/nz43AmZFfr3ztcZbuf0eXyH299lUDZ/wd9vz3f+J/3b17GyTRAQBAQBQSC0CGAe8ScrsV5nn2E14OWL321SdEdFJfh2cBKD4M8vPQgCKQIBpMuB6FEDqWAgLYINpL2paXhI+XigeWDKLpA4Z5WUKIwJCp/ECJtzfMyLbNyuBtKrXutWxasyCNXRPl2op1KCzINZuLfzQb02cEKsh0IK3h9Jqeax4eBZunnEEnrzl23xP/jVa4CC7YFmMbRwaEsa17cutayQ3+vY1OPcaoMogsrhq/71aMajTXiSWIjx9OwdKXXthi/gymK7tc+A557urYGh+2d96lipRWqvkEfDNDyU0aJcfirESjg1pisVEtX1oWyXzpdF6x4G2pEQUEt24c+NGiDO/7zhTNCq+0k7dSKAv+dbuOIpKsWu/E8b637zVLtynH6Wy6pW6A0VmNLO237Cqkha5/W5VioxqsJCJSoRfgRAIPbggh9q4MECFJgSgoAgIAgIAsmPwH3sSzyUKxCqAQX001yJPTl+y6rjSGnt4GfXKQ0RuR5BIAkIID0Pagg7QDL5Mje390vsdRdPnE3vq3u5rLa31D2n/nayye+E5fu0TZ15EoyUrcTirVlbrfLu6n4vd63MBubOKUtH2bfoqe/Xq7tbaSkj765FuXgi5RSornjf+FWcQ/6PqsTeBwbeINkCSaG7xJOr/7Jkt9snSxwrCyJFBqkYC55uQf/pVJGK5c5sny7ZXlHJBBUZ5z7enNqx0sEM4AIj/N5jV9BxJkrDETCQfrZDBe1U8F95U0lh0Ta6tABDeaTJqTGdK2/CXy6cUTqfbqANNRoqEUZCmH4KSJFFWqqEIJAYAvj7wv3mkVZl6ceHGtHqF9rSu7dVp9ZM4OPe6C1AZsF77fFJ6wlk1qBv1tBvW46FjVT3Nq7Uth7eiOpDIJjzQ2UsIQgIAoKAIBAZCEARD7sUNfDzEVkVptBB3UfagSHg/RdLYP3I3oJAqkUA6TzwV1Kje80iARmsq8eq7Q9ZfaXOm1F5cCD7KQUS8M1QFVyQsj7bUScnnPpbzilUSE9SA1Wr4MvkFJjgw79KNb/Gfi90qUjV2QzdKeCR1feLVR7HdONzvO5D5eXU16ZD56jzR4usH/QqZtgX6qbbaheleUNbWOl7gRCATucKxTqQRmNY+fQpl+Ut6FD1DyltXUcstqqPheL8Zp99mChtEJNgFo3t8OaCr04ooysbYqqxjw2nUXUrnGFWgMNE8UiYyMPErrNq0RzUqLROPn+6YI/lsZbYsbJdEFARwEMFpDV8zirU2Bfb0Ad3VLfSBX35/4FQR0r5fV/FUuv35vM9Yb8oAFVQQ9hGKnk3VtOpMX7pPoJSWkIQEAQEAUEgMhB4vE1ZGshZHmpgHvboxDX8MCihUJK6XdqBISAEVmB4yd6CgAcCML81zcrvZZVPsLHv1CWayeoTNaC+QEqIv7F090maz2kgajzAEtfElEcg5V4wzAhBnr3R3XvVwc+4AqPqG4RzdmBTdOSFOwWqdtzPk6D9py9rm0GS/Y9VAeqTZm0HYwHqnAnL4qjHyKWE6lpmlC+Qzaqihz6Ryhjp0Z4xm/tEM+rTsIRHWuGx83/S7aOX8XuaUIkuVNcDtcb/bq1OeN/VgCovlGokVH0syRM1NdTKe+r6ULVRiRCVKNWAkjFSwiSx97BCbFKsTjZHylhlHNGBQHZOT+1es6iVPrz6hTZWyrflueZDmYX77XM/baSmb8+j0ZzmHOoU4+hAMrSjfLhlae17ASmdk2L1B2ihHYH0LggIAoKAIOALAWSOQCiAjA81oGZ+8Os1jt636n7SThwBIbASx0j2EAR8ImCqlOpxBTtUMQs2QAipSiJUm7qvaSm/uwWx8/bs7dr+mJjDKDuxGLt4DyF9UQ3kdXsjgKB+eneOfi5U9Xu7ZzXHFEBbrbVWqXaHc1Upkt1Kp0vnY9Kkjuk8ezIN4mqHL07b7OGfBRUBxjydPabg9xJNAa+j/95ShSY90NDDE+oSG9IPGB9Lkw11XCiuD0Tns5xqqcamQ+dpzhbd703dHmwbX/yYOKuxcu9pdTHkbYyhNCvi1DD/HtRt4W4340px+FtR4/05Owh/DxKCQLAI4P7TjVXE8MKDMuv926tzsYt8lNZLkYvjnMaKkuGNh/1hEVl4OCERGgSQ3tyJC2qoARWWqrJWt0lbEBAEBAFBIPwI4Hfky10rEexQ1IBAAA/vITCQSDoCQmAlHTs5UhAg+AKhwpMaveolXtlP3d+pDUXX97EHtU0ow5ozs//qK+Rarz9wVutjCMtasxjKEm0HXjh45jLBOF4NqGLu4ZQyp8BkBbndeLJgB9+3OR2lBuVgw3enANk1yzC9BzkGQ/XExmf3t+v4Ber68WL6ZaMnmVKDUxZ/HdLMqs7mKx3G7itSX+uVyk0zH2tKdUvqBBwmK0//uMEjdTUU13EnV7+KMUzNURQglCqs+qX0FLk1+8+EPU2prEFg7TymE7qhwNrfPvHDCB5uapzianOf/LFLXSVtQSBoBKDM6lGrKH3Rrx6tfL4Nq3CrUKVCOnlqn+T81RsWkdXq3fn8/XVASBUbGJdf+zcpqfWI3yFz2ZNMQhAQBAQBQSByEMBvtTfYDqUnf4eq8SeTWAO44na4H86qY4j2thBY0f4OyviTFYHv2P9D9ZdG2lFH4+loUgY4fikqiyWYmqOkOSry+RvXuRz6O7/qiqhSebP4ZSz/ys9bNEN1kFGYtHhL6cOTd1Od8iD7dHkziZ/BaZEj5+/WLgW4fdGvrt/m9Hhy0Z1TBuGPZMb9rFKbPLAh4XpTQiBldMKA+nSz4Q2Fa/vPlI0hV2KhkuaQNuU0KLcdvUC/bvYkDrWdglioyypGfO7swN/CxjD7YJXj1FM1djJhGknRqHReD9N/GDrHcTqhhCAQCgRwL7q7fgkm1ZvwPamehxebfc7DXMxjKFctRTENkCsS7iJQq3guqsZeeGp8uVTM3FU8pC0ICAKCQCQgADuOd26t5uEfDG/Vfl+sJDyglQgcASGwAsdMjhAELARQut40b7+lZmHKZHgGBQoXPC2+WrZPOwxl0Avl8N+/aTI//UblNDWe5NLpiaXmwVwQnl5q9OYJS7WizibseHrwJZNtaiC16XGD8LC3w0foaZ7YqIG0lNFsXG4SBuo+ahul3O8dt5L9VvRy7jlZ7TWWU16e71yJoll1pV6r3c6YLo3lSeOU/gkSa9nuU/auIXlF1UpTkfTpwj0hORc6hXIP3mVqrIwLbxphmQJ6CiEUWOGuhqhev1MbKiyQ23ZABfnsTxtE+WIDIq8hQQBPlZuWzUff3t+Apg1qbHkdOp1oI6eW3/HpMjpyTkgsJ3ySug74m94qy/ecJlT0lRAEBAFBQBCILAQgAHiPfXg7VS2oDQyWIJjPhPsBrTaIKF0QAitK3zgZdvIjMItT15C2o8Y9DUqqi0lqf7uCqwpd0b1szGoWvjpGSt/Hv+upRNX5aS1ICF8BQu61GVu1XfJmTU9PsY+UU1zhG+/TP6zXNmVg36nhnDroRCDB4Hfg16vpMh+nxss3V6bGZfKqqxzbIA8+5tRGlHJX0xWxM67vF061a2N4Jzl2FKUr8RTnmQ4VaLBRnvcGpxM+9M1q2u+gRnPrUvHla5YFXsfpqbtDOGGqY6RNbj0SXgVUhYI6gXaBiWWnIgFuYZyUfkqyytBpIjtqvv73n5S+5RhBwB8EUGEWDyBAZDWM0VN/cfzBM1fo7s9W0An2yZJwD4HO1QoRvp/V+HWz/vBJ3SZtQUAQEAQEgeRDANkMH/aq6eHxiofxvT9fQVsOn0++wUXhmYXAisI3TYYcGQh8tSxOG0iDmNxU3pj0ajv4sQDy6bNFeipAOyZlyhpqFF9dfb18Hx09f1XbBcQHntr6ii+WxHmotp7tWJFyZHL2sXp/7naPCT1M08vk1yf+OCfIJyiv9pzQVWG3cQn33uztlVjg+Fenb6H35u7w2LV95QL0HZudF46CCoMeg0/CisfblqOBzWO0I89yGfX7vlpFl5hkCVV0qFLQY8L042rdp83Nc5uFEHZw2mI4o2D2jHy9GbRTbjioe8ppG5NpAcQiCiao8QF7lK3eF17Fmnp+aac+BEBkfXt/fSsV3EzfRpXMe/gH+tnL+gOf1IeSe1ecIW0aascVa9WYuvZQxKlE1fFJWxAQBASB1IwAsmBG3FXTKoqi4gDRAkis7WH+nauOIdraQmBF2zsm440IBFB1b41RQa+PF5PzQAb8AxMC5pPqh1uW8bsLEBijDH+pRqXzUKNEFE7HmfCCukkNGKH34EpUToGc7c8X60RbreI52aerlNPuNJZJOdO0vXLh7PQamxsmRqzBLPzFaZs8UhVxov58vpF31w46bdNx0BG88pn2FahNRb1S3w5OcXuJqzGGKvDF241TWdX4ac2hkKWrmQooqL1QvSVcgc8llH1qrD9wTl2MiDYqxg3np3oskosPmPw/NnEdnWNiU0IQCBcC+JtpWT4//fBgQ36QoafgwjcPqRJIkZdwBwFTVb2dU/TXGoVb3DmT9CIICAKCgCDgBgJ4+DCqd21Ow9czT05zRs/dY1ewt6/+oN+Nc6bEPoTASonvqlxTyBH4htP81CiQPYOHLFTd7k8bk85PF+rm5k2YeAKR5G/Aj8pMa/SWAqj2+T82fEcuthqvcmof0tbMAInwLFfA4+HGB1IG37m1uqPROyohvj17W/y+aEDVNZpv4PB28hVQXr308yb6evl+bTeIyVCe9iX+581cXjsghS3gfRneqwb7humTxB/XHCRUnwxV9GTFnBpQ+oXKf8tUHSJV0vR1U8cSijZUJWqsj0AFFsaHapWDW+tG+zDPfmLyupBWi1SxkbYgYCOQh5WLX3PhieK5M9urrNf1XIjh/TmeKlptJ1nwGwGkbBbLrXtjTlp5wO/jZUdBQBAQBASB8COAuc+Ye+oQMnfUQAX6fl+sojOGPY26j7T/QUAILPkkCAIBIgDvp+nrj2hH3VmveKIG6doBDgswTz9wWje7fbhlaYc9nVddvnbDQxXVukJ+QsUiX7GDn9qC+FADqX3m5N3ePnbxHoLaR40hbcp6PHHHdoxpyKR1BPLBDpBPIF+KGZMbe7v9CvLqlZ83e5BXIKw+YsWJN7WXfXxKf83KlRs/Y9N6vKrx+kxUkdTJSHV7MO2KhbITlHNq/LHtuLroWhskZyEjNS6UnltOAzf/BpBCGMo0Tacx+LvukVZlqD4TWWr8zu/Nu3P0aqTqdmkLAqFCoCD/7X5zX31CKq4aU9cdElJVBSSINh5k9Kqrp+Av2xPagh5BDFcOFQQEAUFAEPgXART8+vzeulSnhD5HQ8r9AxNiQ/Y7PqW8AUJgpZR3Uq4jbAjM2XJUS4MAIXNH3WJBn3/80jitj6pFcjia4mo7KQsT+ckrJKhqwC8psXhn9nZNTZWFb6pDOzgbtx84fZk+MlINQWg80DTG8TSvz9zqoZp5hFMikWbiK0BevcHHjjeqMaJi4Yg7a1LX6oV9HZ5qtpXIk4XTMCtr1wvT5LGLQlchsF0l3Xdl6e6T2vndXCiRR1dw4PMXzqjNPyzMKn+hUpwFe10gdkEM586iGzuP5JTiSat0BWOw55LjBQF/EMBDinF962q74jsKqW4S7iDQonw+raP9fI80i8BoO8iCICAICAKCQEQgkIUfQH/Rry7h4bAaq+LO0JPfr5eHPSooRlsILAOQpCyuWbOG3nzzTerYsSMVK1aMMmTIQFmzZqVy5cpR3759adGiRQF1O3v2bOrRowcVLVrU6guvWMZ6ieRH4Ef2/VEDaX6FcugyfnW7P+2d/IN+6W79yem9jUom6g9l9w3FzRgj/bAl/7CtwiSYr1gVd5qg/FLjPiaj8mfTn5rb2/87A+qeBB8ikHdvdq9KqK5hxm9bjtG3K/SJMxQtZjU78zgsf8YEzFjDYwsT9I+ZvOqYSDVFp/78XQd13ep9Z+irZXH0v1+3cVXGLfSfKRutVKzHJq61lsfxuOZsPkrbjp4nVG5M7oAvVb2SuvLmk3m76ei5qyEZWuMyeqUxeNtA9hyKMFOQ9oWZwIK6rU4JHdv5O0KjOHMDP9yHRt5di0D0qvGfKZtoXoiUcup5pC0ImAhU4gccZprbyr1SYMDEKanLZbloikqyox+pZpVUNOU4QUAQEATCiwB8TMf1reOhVp654Qi9w/YuEs4I6LknzvvIWh8ING/enBYuXOixx7Vr12jnzp3Wv/Hjx9M999xDY8eOpfTp9afj6oFQnTz44IM0ZswYdTUdOnSIpkyZYv174IEHaPTo0X4TG1pHshA0AsfY82fxzhNaPz1q6cbW2kY/F8Yvi9P2hIqiC5fJ9je+jz1Ax87rJAJSinwFPm/DZuneVHn4vPc3i3E87I9tx2guk1Jq9K5fwjHVEITGM+yTpUZmVnYNv6NGoqmWMzYcpjd/0ceF+fiHrC5xm7wCAbVg+wnrujawP8vO4xc0NZo6fqc2rqklp2l2qlKIX/NR5vThv6XCOBleYF1HLOYKVP+M8goTmvAd+4DxdjtAQuK6Lyueacs5baVLNfdVcSaBFW4FFrBrzkSwmpYznz8v+NtJrPiA27j7218D9sV59ZbK9DyTVnbAX+/hb9bQN1wlLrGUYvsYeRUE3EKgLhPsB04nPPiJVC85t643nP3AfxLVjzcdOh9/2s2Hz1FDLt4iIQgIAoKAIBD5CODhI5RYt41epmX4jF6wm3+z5fSoOBv5VxT6EXrKJkJ/zhR1BpBLiMKFC9PgwYPphx9+oJUrV9KyZcvo/fffpyJF/iE3JkyYYKmxfF38Cy+8EE9e1axZkyZOnGj1hVcsI0Buvfjii766kW0hRGD6+sMawYF0u/ZGKetAT4+qTFMMVded9YolanBun+fGX3/T6AV6yhjMXWsbyhF7f/t13vbjltrIXsYr1FGmpxLWX+dzvD5jK5rxAbLrqXbOqYYvcdVA00z+pS6VyCyvHt/Zv421XN3wycnrzdX03u3VXSNIUNUQaW8woq/7+m+ca76avufqj0hrUay6PMbgtAIkDp6SDPp2DdV6bS49yH2t3hd+dQGUdr2MNFZ4zYSC8EE1QpiGqxEqRUVxTpFUA+kx4Y7m5fQUHaRobj6cMFkM93j8Od/dTCw/3EL3zwOpCXNQKdPsD4Kyj5sI5GVTdzXCXYxBPXdKbFcy0k92Gh6VKfGa5ZoEAUFAEEhJCCCNEAp6ZJuo8RSnEh48E/7fvuoYIrEtBFaQ70qFChVo0qRJtH//fho+fDj17NmT6tatSw0aNKDHH3+c1q1bZ6US4jQgorylE+7atYveeecdazR16tShJUuWUK9evay+8Lp48WLCesTbb79Nu3fvttryX3gR+JkJLDU6sPImWNXNFDZQVysA4t6FCai/MXPjEULFMTUSS9ODguT9uTvUQ6w0D5jROwVSAWEsqMZznSpSjszp1FVWexaP55eNeiW8tpUKJOoThhv0/V/FclpeQooiOny2YwXqXlOvfudxUj9WgISbzEq1lu/Np7s+W0HfrTpA56+6V9IdqZWzObWw56hlNJANGMNtOA4yUSUfocZCKmQoAooKNbYdCY2nTdFcemrukbNXw+4JUIHVDUVy6uP4gQnPSI+h7ctTj5q6OhTeOPd8voLijL/lSL8WGV90I2CSpvmz6YRWdF9d8o/+JuTyK5Eurb6sbJKmICAICAKCQIQi0IwfmL7CGRVqYJ7yKFuYYA4jkYCAEFgJWCSpNWPGDLr99tspTZo0jsfnzZuX3nvvvfhtUGg5xQcffEA3bvwzmf74448pUyZ9wpQ5c2bCegT2A1kmEV4E4CuBNDM1bq4RXNoUiKQvl8apXVKrCgWosDFh1nZQFnD8p4b6qganeJmlWZVDrOavm49pKQdYObh1OUI6ghnnLl+n4b/pZFf1ojk8Jsc47vzV6/QyVw5UIxeTXPDJ8pVyhcpuA76MZS+la+qhTOQVp4FeUhq1HX0sXGNCbOLK/dTy3fn09A8baN8p308yQCCWzZ+VOrPX1u11ilKfhiWsMQxsHkO38PuNiiEFsvuegAHfdh8s5DSujXTigp7a6WOoQW1C6frbeLxqQFkWioqE5QtkU09j+YHhs+h2mMTRNf4CP3kpPHja14LPrZkmDHVbKHC1z+nGK8Y9rGc1MhVkx/nz2GvMciGx3ABZ+kgUAdz/Fu/SCz0Eq1pO9KSpbAfzO8abh2Uqg0UuVxAQBASBqEOgd4MS1NmwkFm7/yz78m6PumsJ5YDDb9gSyquJ0L5btGgRPzIn5RQmftOmTbP2gaIL6i2nwPry5cvT9u3baerUqfTRRx/5JAWc+pB1SUcA6h01UB4cBu7BBH7Y7z6hK5v6NS7pd5dLdp2iLUf0dKYHmWjxRRYhhe4DQ30VkzcLdfNCxo2Yt5POMImlxgucDogS3ma8w75LmCCr8crNlSmfjyfu+PzDL8usTNW0bF7Csb6uRT2PUxvG1S9M3eShUDP3hQl6u8oFqCbnmkPG64+qDj5fc5iomrXpiGXAD58hNbD8DSvXkHb6EZvPt0ik8qJ6bFLbfRqWpC+WxMUffpbft9mbjlI3Q4kTv0MSGxUK6QQWnhAdZX+4YIsZmMPJx6QcDIqv/5WA7WFWYYV7gnZr7aL08R+74ocHXPG+u6EMjO80BA0Q0qN717ZUV7FcnMAOvFd3fracvnugAaGSpYQgECoEcP9T742Z0gWfdh+qsUZrv+Z3rq/v22i9Rhm3ICAICAKpAQHr4WOPqiwyOKc9cB+zcA9b1hRI1B4mNWCEa/SUW6SWKw/jdcLQ3Y6bbvKEfO/evZZRO/aBKbyvsLcfPHiQ4uLifO0q21xEAGbfU9YmmNCia6hdzFzlQE85fuk+7RAofxoFYL6Kan1qlMyTmdpWKqiu8mj/ymluJlk0uE1Zx0qCSOszx9ixSkEyU8hwkvUHztLXy/dr50OJ75urF9bWmQsgeWawj5QaZRiHEXfVStTwXT1GbUMJNpTzxvt9ucoreQUV0TMdKtCSZ1vR5AcbEqovwjfMH/IK54Kvy12sEJswoD7FPt+GXuhckaA2MwPkzn3jY2kaq3ZCHfAYM6sETuJUSbcDyqhsXKFPDVQjdDtAkhbMoVfEPMQeVOEOkDzm3+XYRXvDns6YlOvOxD59n/etyxVJ9TLNR7hK5Z2sxAqFT1pSxinHpDwE9rPadeR83e4AP8BROlzCHQTggWlaCEiKpjvYSi+CgCAgCCQHAqhM+AnPgdIbFd5fmrZZeyCUHGOLlHN6simRMrIUNI4FCxbEXw0UVmZs3Zpgju20Xd1f3a4ep+4jbfcRQKU6+MeocVvtYupiwO3jF64SjNTV6NOopN+Ko32nLtGCHXpFRJAwvkg1qJ1Q1UKNcgWyUlcvFeQ+/G0nIW3LDqhh4EllBlRdZuognrS/dksVn9cDb5TXZmzRusueMS19fm8dypHJkwzSdvSysIirRHbg9D2kzzkFVFZfcrWP2UOa0kNsdG2mqTkdk9i6XGxoD+wXPN3SMs/OYKRi3mB8hkxaRxOW64RlYv0mZftd9Upoh62MO22ldmorg1zAE6Iy/LlRI1RESGGuzqLGYcPvTd0WyjZk3WrAyH0G+71FQ+Bv6WsmWisX1kmsw0xiIZ1QDEKj4V2MrjGeYoXqvV+s5LRwXZHbvZae5hxdVxV5o4UH5ulLCQ9JMcIS/CBLQhAQBAQBQSB6EUBxpqfal9MuAL87v10R+nmEdtIIXZDHYCF+Y/7++28aNmxY/Fngl2XGgQMJComiRX3/uCtWLIE0UY8z+3RahmrLVxw5Eh2TMV/XEKptpnl73ZK5qHiQPxJRedBMregeQKoXlEtqYJLaM5HJwYq9p2m94eM1qGUZx3RAmJD/yAbzasBc3inlCPutYwWWGlB1Fcvt/Yf0Fa7g9whX7zNN29+/vYbjOdS+ndp4Ev3mL9to3JK9TptZXZWLhvCYkPYZTFqiY+f/rszOT02eZlUXUvlenb6Z08yOxu/O3CG9yOmM5y5fI2AeqjG0rJDPempjE4/4jC3lVFUUHHAz4NOGvHw7oOgJRRSBkbvyliYX2dKOCxHE5MtCe5SU33fZk6ADVyF18o4LBRbB9Jkzc3r65r76dPfYFVoVRag37vh0OX17f/0k/d0FMyY5NmUicPnaDerPqlOz2iDSwpvxPwl3EMCDo0/mJaQ2o9eqPOkpnU9/uODO2aQXQUAQiGQEZI4Xye9O0sbWr3EpQtGgHUplWXhhdWKPXvjepuYQBVaI332Ys69cudI6S/fu3eMrCaqnvXAhIfUma1bfPzyyZEnwK7l48aLaTaJtkF++/tWrVy/RPlLjDjAY/23rMe3SE0uL03Z2WIASylQI4YakVpFzOCx+FQykTU8u+PQgXchXfGqor1DlDWblTjGc1Vf8+zg+oKgC8WIG0vXenr1dWw1Prf584/UV/2Xl1c7j+mcY/l9tmCgINGA03/eLVY7kFTB9u2dV+oHTBJuWzRcy4kgdM9LeIP/ty4o6M96ds8Nj0mHuE8wyUiDrx+hVAuezgtDtKMQecGocCZEyqmgunQQ102XUMYSynZal3E+319WH+09ftgoEhPK8bvYNEgtKLFRWVMMmscJdOVMdg7RTBgKolDTomzVWSrl6RfjMfcIlwkNF3KvnSi1t/C5RJza47kdahe7hSGrBVa5TEIhGBHzN77BN5njR966m49+dr95cRRs4bEk+MApraTukkgUhsEL4RiN18Nlnn7XOkD9/fho1apTj2a5eTVAupE+f3nEfe2WGDAmM65Ur4feCsceRml7xI/Hq9YQ0OqTogWwKJtayWmmXQd6g4p2/AUUYjKTVQMU+X4F0vXkGkXE/p71hYm7GtqPnLfNxdX1fJpeczGE/YXNrM03kRS4D60uVAmNxVAZUA+lNTumJ6j5ObfisdB+1xKPSFfaFbxFSBe+oWzzsEyf4N73MODzeRpcAY1wgseYb6aNY71aYledAYIE0dTNMb6pQKbCKstJLjYPJ4IFlnx/+PbU4BVWNj37nIgdGCo+6PdLaSHeFEsusJAljd6QTmqqZSBu/jCdyEdhx7AL1GLnU43sGadrj+9cjKFQl3EEAD7HeN4qxwA6gbcXAHwC5MyLpRRAQBAQBQcBtBBryPKar4SX8fexBQpp+ag7PmWtqRsPFa9+8eTNBcXXjxg0C6TR58mQqUMD5h0XGjAlKBtXw3Wk4f/6Z8IHNlEmf2Dntr65DyqGvf7ZSTD1G2kQwPVejMaegBSvdnGYYwsN8vV4pXTWjntNsf2N4KSE1IyaRtIHPF+uG7zAchxG9U4wyjHdh2D2wWYzHrvAj+mJpnLa+dYX81NJHxT2opVAZUI3MrBz7mCv1ZUjrW0GmHoP22v1nqPvIJVpaF9aDPHuVKxhCbWIqeLA9XAG1AVIpMRYznp+yiaDuC0XAPF8NkBNuEz8mgWVWwlLPH0wbKkE14LXlNhmn9u+rjffz2Y4VtV1OMXn1CqeLRlPg/oWUwUpccVONE1xB9C6uThgqPzP1XNJOOQggTRnfGV0+WkwbuXKSGkhtH9+/LhUwFJvqPtIODAGkDj45eT2ZhTMebF7a0Q4gsN5lb0FAEIhGBHzN77BN5njR+K7+M+b/dKpgVeS2rwDWK+Hw1LXPF4mv4oEVgncFVQXbtWtHZ86coTRp0tDEiRN9VhfMli0hnSOxtMBLly7FjzixdMP4Hf9tJOavZe4vy8T+TH8RDNzV6Fy1oLoYcBs/9n9RvJHQQfeaRf1WCKG0quljBc8lXwGmfuq6w9ou9/AxThX3oGhC6XM1+jcpRUg/MgPqk2t8I7UjLauOXuxSyV50fB02e6uHYgsET2IEnNnZ0t0nqT9XGVTVcdgHKrEx99SmmsVzmYck2/K9nEqI1JrXZ26NHwPStt6ds51VWp7kVvxOSWzAAyUnE5SqSm/rkfM+PckCPVUu4/Nw3ihyEGh/3vYvwemoalxi7zSQZck1IQbRDD+sOVuOxQ9rGv9ttWblQ7CpxfEdhqEBEmvi/Q2oDxtto4KoHVZ1QiaxsM2Xh529v7ymbgSQdoqKr2sUPzwbEaSdj+MKmGXyJ/zGsbfJa9IReIc9UGDergYegnXxUoxF3U/agoAgkDIRkDleynxfcVWFuJjRzdWLaL7EE5btIzy0yMjfs6kxRIHl8rt++PBhatOmDeEVT+vHjRtnKbF8nUa96SRmwgcW3Q7kNEuEFoEVe04TJsx28FtKrSo4K+nsfRJ7XbH3FEHpoEbX6v6nJH63Sk+9K8hPtlsaihu1b7S/ZcN3lWhCadbeDZxTDscs2q15X0EdBW8qMzBxMX287qxXnEoahIN63Io9pzh1MOEzjG2tWLEF/65AYhVX1hvwZawHeQWflWmDGkcUeWVf1wAmAZHSqMaXrF6DisztwL3H9DnaeiTBa8+N82XjapFqXOC8/FAoo+C1lTGd/lWV3F5Nr3WrwulQ+vU//9PGqFMu5WCSc8KAepbxs/peQq2HdEJRYqmoSFtFAA9iPlu4hzp9uMiRvCqTPyt9z76DKJ4h4R4CSL03KwnD53E0P7Txlbbv3gikJ0FAEBAEBIFwI3BfU91XGOr/KUY2T7jHlJzn02cFyTmSFHDukydPUtu2bWnPnn9StT7++GPq06dPoldWqVKCYmXbtm0+91e3V6yop7L4PFA2JgkB07y9etGcjj5QgXQ+ba2ubkIaj7/qI6ScTTWOv6NuMUcfK3tMIK6+MlIOkU+dP1tC6qq97/ELV9kc/qC9aL3exaSUk/rqffZxwiTGDjxtf5QNZL0F1GzPTdmobQY5BjIAhIu/seHgWerHhu1X2ANEDaRRYsJU2PBMUvdJzjau8c3uVTlNMuG2C1uqZ3/caKmz3B5bRSM9DL5mbobpZ4Oqh2ZFSTfOBy+xmLx6cQu1EqAb5wi0D6i/8LlV4wL/bQ7+bq1GFKvbI7WN9/Er9icyCU8oBEFiIU1YQhCwEUD6GjwMu368mN74ZavH3zxu5Ug3n/FoE0IZcAn3EJjFqisz/R6enCPZHL9CQT0d2L2zSk+CgCAgCAgCyY0AftNjnqMGqtmn1kiYSaVWBFy67nPnzlH79u1py5YtVo/Dhg2jQYMG+dV7qVKlqHDhwta+MH73FQsXLrQ2FylShEqWLOlrV9kWJAJQk/yx7bjWS9skVMhTO4Dx6i+G9N8051P3N9s49qLim8S/Xdmg3LcSDx5epuLLSVGFc0GSqiq10qX5PxpgsP7YD2SImcLQv0lJyu/D52Tsor0eXlVPtStPMPj1N2B8j2qDKgY4tmOVglaqSrYINwmGOm2IYeq+nY2Pp4bgKUpFY0IDE383Izt725iBipShiJh8ehqhWQAhFOdMrM9bahShHjWLaLshjeqFqRtDokTTTuTygjdjd5BY945bSfCtk0jdCOBhxYwNh6kjK64e/Ho1beGUZDOQxvb9wIb0XKeKqTatwcTEjWX8FoHq6iGu7qg+NELfbzCR3qyc7nnoxjmlD0FAEBAEBIHIQsC0i1m17zRbalyNrEGGaTRCYLkA9OXLl6lz5860Zs0aq7fnn3+ennnmGb97hjLjlltusfaHwmr58uWOx2K9rcDC/oGoVhw7lJU+EUCakml8jXS3YGLBjhMEpYYdeFrdreY/5KW9ztcrqg+q0YLN0hNTHE1apafswcPH6ck4yLVvONVQje48QUfutRmfzNutrUI61QPNSmvr1AWoOEZwtUI1qhfNQfCG8jeOnPtnMn3aqPjWhr2HPmIDeJSbjYaADNg0z/5s0R7XSY/S+XXS5zDj52aKH9RzZly9luCHZm4LZrlcAd1DBz5wkRCv3lKZiufOrA0FCsYxnFoVbWEbu5tKrJ1MGt/3FbzmdMVjtF2fjDdpCIAwAcHe7oMF9Mi3awmEuxn4HsNDkVmDm1Gdkv4XIzH7kWVPBPBACSrdYbM81fkPtShNvVghLSEICAKCgCCQ8hGAAiuL8tsbWRxzNif4saZ8BBKuMDpmfAnjjbgWqgai2uCSJUussQ0ePJhef/31gMc5ZMgQSpv2H0+VRx99lK5c0dM2sIz1COyH/SVCi8Cvxk0BXlPm5C7QEczYoBuv1uUf+04EkVO/YNmX7DqpbQLB5CvgYbPYOObu+s4/eH9mI2qTHLq/aYxH9yD28CRejQFNYgjVprzFW/zjW035w4TnDU6nQ/qDP4HJ8/1fxRIUIWrgZv7J3dFDXmHsINqebFdOvQzacewirdx7WlsX7IKZIgqz+/PsU+VWwEfNDKSJhiKqMtmpxqbD5+gGpywmd0Dxh/QdpM+qMWz2NivNSl0XDW2QWN/cV59KG4q3VXFnmLxYE5JU12jAJTWOEamCeGDSlomrIZPW0e4TCQVkVDzgdTXpgYZWMYpMyg9rdR9pJw0BKB+hgJwUqz+EQm+9WHk9lBXMEoKAICAICAKpAwEYtrfih/ZqIMsmNYbnDCQ1ohDENd955500Z84cq4dWrVrRgAEDaNOmTV7/7dixw/Fs5cqVo6eeesraFhsbS40bN6ZJkyYR2njFMtqIoUOHUtmyZa22/Bc6BODzoUa7ygWCUr1dYTP437fqTHnXav6bt09ff0QzVwcLD/WRr5hs/PAFydS+ckGPQ6DMGbdkr7Ye5FBZQ/mCHVAuHay/HTCQ7etDSbV63xmPqoa96hZ3VIHZfaqvGNvzU/hv6pCeslK9WE4a3bs2e0rp5IF6bKS2W7JyLsYwu3eapAQz/vzZM3gcfvy8e1JjeFMhxVSNUHhgoX94z6kBMg7KoEgIqBk/uKOGNhT8fcAPa00IDPq1E4VgASTWePbEys/VPNX4betxevqHDQRiQyLlIoCHBd/z9wZSBR+buNYj7du+8rJMXH3Yqwb9OqQZQdUr4S4CqAbcc/RSWsaFT8x4pkMFeqtHVcI9WEIQEAQEAUEg9SDQwZjDLdt9iuCPnNriH8lPartqF6/3p59+iu/tjz/+oGrVqsUvOzVKlChBcXFxTpvojTfeoOPHj1uVC9euXUu9evXy2A8EWVIUXh4dyQqfCEDps9FIUzJvGj47cNg4b/txuqxUNMRvzw5V/Cewfl53SOu1Pfs++XrijdSP7w1Ddii2nEquLudqi9sMj6T+jUtp58MCUgFNv6Y+DUsQqpk5BcinYbO2apuQbji0vf9Pjr/jFMgf1xzU+ijF5M8XXJ49C5Nn0RiYeMC7DMo0O+Bv9t9bqhAIQTcCxF5Ofl/O8lN8O45z9UsnUtLeHugrznH9r4QvzlARWLmzpKeiuTJpKb3rD5wl06g+0PG7tX8H/lvEpPJtVl7ZASz6f7mKJrMnkJkCae8Tqa9Fc2W2SKzbP11GqC5pByreIGXy8ba6gtDeLq/Ri8DRc1dpwvI4q2LtGeWeYV4R/uZQrAPfh0KgmOgEv4zvzB9WH6RXft6sVUBGz6jGOpzJ8kB+NwQ/IulBEBAEBAFBIFIQaMFV59PyHOLGvw8T8bqW/VebGAbvkTLeUI1DFFihQjYJ/d500030+eef08yZMy1PLBi7p0+f3jJ4h+fVL7/8QmPHjuUfjfK2JQHegA6Zz2STGiACgn3KPHeLrr5qWDqP3xUND565TOsP6r4/MJH2FWDljxqKG2+G7yjNrQbUQc0djGG/YpN3+6aJ/fGDun8TT6LL7mvhzpOE9CM1BrOJOQgJf2IrGwXjh7waUJ591qe2332ox0ZSu0etotaXkD0mqIpWODxtt7cn5TUvq2nUQNldN8Ms264WAHDzPOjLVGEt4c93JMWDzWPojjrFtCGBPOw9dgVBTRFtAaICJDH+xtX48Ped7Lmgq1PV7dKOLgTWMRH8KCutmrz9B8Hb0Bt5Vblwdr7v1qFfHmtCnaoWEvIqBG/zGb4/D+JU3aGsdLykPOzCqfKxIhJkuJBXIQBeuhQEBAFBIEoQwIP7ykaF35Vx7lqQRAMU7jzqj4YrDdEY8bTM7ejUqRPhn0TyIbBg+wnt5CBz0jp4/mg7+ViAGgoKLDWcUvnU7Wrb9OMCodaYCTBfAbWEGjAOd1Ks4EezmS55d4MSHhOUy9dukEl03Va7GJkkiX1O/G28P2e7vWi9ouJg7wbOHlzajrwASSx+zJuqnndvq05l8uum3uax0bCMCUntErloheJ9tZRJmdaJpIUGcm2q2SOOc9uI+yaYmSnxdwjuh3b3jcrk0SpfLtp5wqrI5a+Pmt1PqF5RVOP17lXoCJPGC7lYgx1Qvd01djn98GAjKpgjo706Kl5hyD2K03TvGx+rVT97YvJ6mjooS4r4O4yKNyIEgwRZ/jEX1jA9Es1Tlec0ciju2geZQm/2K8s6Anjg9Dh7jZkPnbAXfMaQ1htIxV69d1kSBAQBQUAQSCkI1CuZi5CFYEdsKiSw9EerNhLyKgikYgSuszk0iAQ1nNRI6vbE2mvZC0dN5cL+gVQ0nGmYprdlksMXoQayadamI9qwetRyVmz9xETXNcUQG+bcPTjV0Iyf1hyic1cS0tGwHZWnvMXv7JljqsYGty7rt2fVi9M2efivwGurIz/9TynRqHRe7VJMk35tYxIWzHRRtwksyJjVMEu8q9uCbaPiphr4e4J6JJICBv2je9eyiEl1XKhm2vvzFR5FEtR9IrUNv7bnOlbQhneRyWWQWmcvu6vo004iC64jgIcKIFdvH72M7hiz3Cd5BQ/EMffU5sqCTVn1UzAo/0fXLyQFdYhiFO/P3WGR3E7kFVSdUwc1FvIqBb3ncimCgCAgCASDAAqAqQG/1UgobKSOKdRtIbBCjbD0H3UIrGHTcUzQ1GhaNp+6GHAbBshqoJohfGb8CVQSXMP5zWp0rFpQXfRoQ1Fl+m3dXKOwx36Y0HxnpA9ispLLSPGDcfMXhsk7CLiYfFk9+sQKS33FP8rVKJknM3kj0dT90Ea6JQgzNaqyZPa5TvpEWt0eje3GrCpSAz5kpy7+qa4Kqm16pLlNYJnqp1ASWFAfQA2ihpnqq25Lrnbm9GlpHKfeQfGoxi42nUdFsQtXdRJY3SdS2wM4Tbibcf+I47RIpJ6JqXukvmsJ48IP22nsodjpo8XUhz+D3tINUE0TVWrnPt6MJgyoT+3E5yoBxBC0NrHPZreRS+gjTss1xatQWYMMf/vWaq75IobgEqRLQUAQEAQEgTAjAHW8GrAg8VYpWN0vJbWFwEpJ76ZciysImCoYeH8g3SuYMCfarSvqahJffZslUvHDtkkZ34TatHWHtS6bcQpk/mye6UtQSJnV3HrV03180BEqIZk3RyeTd/ukf2w7TlvYv0qNIex95Us1Zu+L1MGXWX2lRjbO+R5xV02/1VvqsZHcrsbV9TIbpedNsjKY8Wc0KjReufZ3MN15HGva8an+aB47u7AC5pVqzNjAlTn/NbJU1yd3G9U+vxpQjwneLNpQUBhiACuXUJE0mgLpkcN6VuPKoTopt4g97szqpdF0XSl9rFDi4sFD8//N56qY6wiegk6B7zcUIVj2XCt6o3tVVws9OJ0vta/Dg4RhXMDj5hGLParrAhs82EB1R/G7Su2fFLl+QUAQEAQ8EYCPcGHDkmLzYd0n2fOolLVGCKyU9X7K1biAwHLFkwjdNSmjp3kFeoqTrKgxK/yZ6VC++pyzWTd/b1epAJnm2erx8LQySThUH3SKKUZ1vxKskmoYo6uCcNy3hkoLJdRN9ZDdP9RXI+btshet19I8ke9a3VMBpu307wKeRh/milhqvHxzZSqRRycD1O3R2sb7WKVwDm34u09c1JaDWTAsqoLpyvHYNMYJQqnAwgDa8mdfjb0nL9GiXSfVVRHThjfc16xiMX1rVvL95aFvVlMoDe9DAQLSUWHind8g89+Zvd0rMRKKcUifiSMAxdU3K/ZZxNWr07cQquo6BX4A//eWyrTo6Zb0UIvSXLXUv+IaTn3JOv8QgFdJp48W0egFu8nk3pGSDSJxQv/6VCC75wMn/84gewkCgoAgIAikdAQqGXOHzYedH1ClVByEwEqp76xcV5IQwJNR01enfowu1Qy0Y9NPC8baNYrl9KsbpJPF7tOrSyRm/j5ny1GtUmAGJknaOBiDYwI9nRUsaoDogtpCDRBwZtWxuzjNxNzPPmb5ntNWSVd7Ga+DWpYhM91M3W63t3MK3eeL99qL1msjNqvv6cW/S9sxShdMlc7eE5dcuxLTVN2wrAr6PDcZHYK8DGXA9N5MIxy/NC6Upwyq78Kc9jiBlVh5s+rEwHwuEgHD5lATfkEN3uHgQjky0fBeNfhvP2Ej/POGsLrH7fTUhDNIy18E8Pc3m70P2w1fSM9P2UQnuICAU6DK7Fs9qtL8oS2pT8OSXGkyjdNuss5FBKCGe3X6Zrrt02Ue3o44DYzav3+woUUkmvdVF4chXQkCgoAgIAikAARMRbwosFLAmyqXIAgkFYENnFKnKiMwUatdIkgCy1CI1CuVm2D27E/8zql46lNapJs1TkQRhrQqNeBVhbKrZixgM9/TrNZSw0mp9cPqg3T9rwRiAoRYj5pF1cO09meL9mjLUKD4o75CKtgLUzdq5BsM5V/rVsUrWaadKEoXTAJrz0n3FFjqZwfwuD0x8lBghZjAAml6Lxv5q4HqnvtOuUf6qX270YZPHPyEsmfU/wZnbjxCr/y82fKLc+M84eoDhQceaBqjnW77sQsEJZZE8iGwmh909By1lB78eo0jQYKR4cHJaK4q+dsTzenOesV9KnmT70pS3plRYbDTh4s4nTPOw+sqXZr/oyFtytLMx5pQzeK5Ut7FyxUJAoKAICAIuI5AZQcFVqgfIrt+EUF06N8sOogTyKGCQDQhsHKvXn2wYsHsBD+bpAZuJvCJUSMxAkrdF2bmajRjM3lfT8uRPmgqvjpXc67aN5WrD6oBdYuZpofxmybvXaoVphzsw+UUSH+D/5UaDzSL8Yuwm7b+EK2KO6MeSgObx1BpL0bx2o5RvFAqr26Ev8dFBZb5ZaYqZ9yAzFTVhUNR1K1mYY0MAmeGdJxIjops6P5l/3oefmcTlu+jsYt0xWEkX4c9tifalSNckxrwwkqNpZxVDJKjHcdptA99vZrJq2UexT7s8aCi4OSBDWnKw42sioJuE9n2eeRVRwBVOp/+YT3d+dlyQtEDM6oXzUEzHm3KBFa5FOfvaF6rLAsCgoAgIAi4hwD8mdW4cPUGHTjtbBeg7pdS2kJgpZR3Uq7DFQTWGtX+oJYKJvCj1fQf8ZfAghJsqaHeMj2AzLGBPFJJhIzpbiIosMyAUfrv23RyzEl9FcsVGc0f3nfV9zR5t/ufsGyf3bReQf7dVse7WsveGeOBqa0axXNntlIP1XUpsV0sdybtsk4xCam+h9rGABf+5M+QGulM13V1YxLaaVk9oMYNRamnrnezjSp/t3NpeTUmrTpASD+N5KjF6oqx7CEFVaEab87aSmahBnV7JLYzcHGADzmVEGpMNZ79aSP9eSO6DOrV8UdT+9yV61ZKWpv3F9AsrjrrFKjc+u199S0FIL7LvKV9Ox0r65KOAB4c/Lz+MOG9mRx70KMj/N38hyvq/vhQIyrPFYklBAFBQBAQBASBQBAoxB6WuQwxQWpKI9R/fQaCnOwrCKQwBPCjc/3Bs9pV1Szun1eVdpCysGjnCWWJrGqGFfz8wbqayaNLRrWy5kYVNq1zXvhtq05KNWXFFib8ZiA1EWVX7YCSplNVT6XWT4bJO8zYMRF3CpBQP3K6oRqoaOh0fnUftMex79Wx87pfy0tdKvlUm5l9ROuyk8LvPE9O3Qiz2l0mo+JhsOdIaxBiN/5O+EwF27ev4+9nVV8mxbcHqZJv/LLV1yERsa0Rp/++f0d1bSxQkA3+bi1tMO492k4RuFCuQDYa2r68NrJdxy/SyHmRrYbTBhylC/AkbMvkCFLSnCp/gvz/+M6aNG1QY8JnTiJ8CBw4fZn6fbmKHpu4lk5e1FP0MYpa/Jti1uCm9ECz0n5V5Q3fyOVMgoAgIAgIAtGCAB5IOaURRsv4gx2n58w22B7leEEgShGAUsr8wemv2bq3S164Q08fRCqHv0/BFxrkF56mo7KZt4CJMnyt1GjrYN6O7TP46bAaMEpHWVY10J/pp9WjVlGv45+67hBdYBLLDqSr9a5fwl70+nru8nUaY/hmAafWFT2VY1478XMDqnPhmoDtKZ5cIMXjDJ8fagY8zYBX1z0NS3CKmnOKpJ+nCWg3RwLr6nXKZbwfAXX6785X+D1UQyV91PVJbZtqomthUGBhrKjQhfTS4b/tjB/6Qv7sz2c/rEAqfMYfHMYGUnD38yRX9YwCmTxgfKxFOMD4PVqiL/uRQWkC70A7Rs7fRUhbBsEl4S4CMGWHEbh5X7bPkpOfxj7Wqiz1blBC/K1sUML0iu+WL5fG0XtzdpB538UQsrIP5dMdytPd/J1opl6HaYhyGkFAEBAEBIEUhEDlItlpsZKps+FQwm+xFHSZjpciBJYjLLIyNSJgVh/EZABPspMa1/kH7fI9uqcWPKz8jQVcqUyNZuV8P0nHuS4rii0QSC0d0gcvMDky3yC6uvKk2gyouZBTbQf6c0ozxHao18z0wdZ87mJ+4Dd28R7tPOjvuY4VvRJl2B5oYHIxhT2/RszbxYbfnl4k6A8k1raj2wkm9AP56fi9jUr4pR4LdCzm/iCVYOSrGuVjLG6EqcBCEQA3I11a/lAocd1IWVQ2ud6Et9rElfs15d5rM7ZQ/VJ5yG2lmduDf6h5aYJ3kZpeBHLioW/W0PfsVZTeSM1z+/xu9ZeW0yGH9ahGXUcsjk97xef4P5xKiIpq/pL1bo0npfaD+yvSZKEyVO/J9vWCSO7XuCQ9zNVenQhxez95DQ0CUE8+++NG2nLEuYw5qgC/1q0yPySJHnI6NEhJr4KAICAICAJuIVC9qJ4ltP7AWWs+lhp+e0kKoVufIukn6hFYs09PH8SNIZibAFQJFxVFEgDy1//q1MU/PX4MJ0Z+mebpSPXLl81TsTWfiTG10iLIk/aVC3q8fz+v81RpeVOHrOWb5jbDg+geLs+eWICo+ZLTYNTowuqNSoY5obo9kDYqG6KKYmtOtxn6wwav5JXa51lWZL09exs1e2deWLyJ8BnLZii+LirEoTq2QNuXuHS7Gm4TO2Y1zWtMFIYrkJr6VDs9hW03G+C/NG1TuIaQ5PPgPX+9W1VqGJNH6wM/Pt6bG13V/PC3CjJRDXjnRZuvlzr+SGqf5O+C+7+KJfiLOZFXzcvlo9+fbE7Pdaoo5FWY3zikzf93+hbq9skSj+9rDCU/f/+OursWfdantpBXYX5v5HSCgCAgCKR0BKpzZWE1MKfy9pBe3S8ltIXASgnvolyDKwjEchlyNVCVL5hYYVQ0LM8pNU6EktM5lu/RxwLlTC0f48ETehBTajiZt2O7ObFsVDqvR1WneQx1AABAAElEQVTB81BpGf3dUr2I2r3WNisVQrnW1A/vla845cJMO0RJcTcCk4uBXJ3rqe/XJ+mGjnTSh1kRY6ro3Bib2QdbkIUkzl/RCazsQVTUdBqgmZJoKr6cjnFzXU9OaUVqrRrfM2H5fewBdVVEtqGyGt27NpXMo6s8P12wh5AOGU0xuHVZVlvq6pK3Z29nVWH4CM1owsvfsc5jr8IOwxeyt6Fe2RXHQ2n13m3V6ct+df1Suvp7TtnPPwT+4CIo7T5YSKi+CQ8+M3o3KE6/MbHYkb0lg3kQZvYry4KAICAICAKCABAozNYnprWM6eWcUpESAiulvrNyXQEhALJj82Fd/l/HB2HkT+crDBKqfoz/FQ2X7ta9s+qWzM1pZt7/XHefuGj56qjjauFg+I4KYSYx5aS+mrP5GKlqGkulVcVTpYXzISVx+voj6qnpjrrFKLFS7cD8c/7xrwaM5MvkD947B35mPUctpblbdFN7+1zwNoMfybAeVS0SYSQ/Je/ocH2oBvjIt2vo6Lmr9qFR8wqVnenF4ra3l6noMs8XarDwGUM1vCxGauSLrMKK9KqEwCYHpymPuKuWlUKqYvXE5PWElMJoiYycBvt0+wracPdyiuQ3y/dp62TBPwRwn4aSEGbgpi8jeuhWozDNfaIZ9azt3ZPQvzPJXoEicPz8VRrE3wn9v4z1qDCMvsoVyMrVBRtaCku377eBjlX2FwQEAUFAEEi5CODhSI1i+kNc0w4npV699xlxSr1iuS5BwAEBpO6ArLADJqs1gqhACM+l2DhdRQVvHn9j2W7dOwsm677id+MJfUE2ua5UKLvHIehXTWuEr1WbSp5m6dMNk/fm5fJ7TU8BeaUSF8DuNp5YJRbfrNjHJuq619Mj7OESbMCP5JYRSzxSGtEv5LZfsGJhysON6OEWZahXveLUgYkrEGejWA0z/ZEmBAN5NTCBBImlfj7U7ZHaBrFoRvZM7toemp5al42URfP8oViOyZeVhvWspnUNU/SHvllNUBJGelRhBdmz7PmmBtLGnmTlIJSV0RJI/a1eVP8h9QGb7J+55FmJLVquKTnGeZjJ9zs+XU5fLfMk//JmTU/j+tah4b1qcnpaxuQYXqo95z8+ZPutdPSZXAjEDCgqUZVzxqNNqXYJ/x9Wmf3IsiAgCAgCgoAg4C8CZrExIbD8RU72EwRSAALwbFGjCvu6wGMnqbH1yAW6pBiqo596pfz7UQv10B5WL6jRMBECy/S/asUV/JzSFkxFUk0mdMyJECrzLVGqWmAcXasXUoejtb9fradrIXUxPxNovgIKg7GLdPUVjG4rOpBuvvoxt6EKXa8xy1m1oKtXkG4z5p7aNJWJq5blnbFBX1V5Aj6+Xz2uZKeb7ePzYWJnnjuY5VDwFE5G8G4rAsy/kct/6lUPg8EkkGOt6pENSmiH7GE/rEGcAhoNaWz92YDbTPlFGuGPaw5p1xTJC7jfvNClkjZEfAZHL9ytrZMF7wgs3nmSuny8mJx+gKIoxuwhzfhzUsB7B7IlJAjs58IfvT9fQc+wUbuTDxm87H7l92YQP4CJlgIMIQFKOhUEBAFBQBAIKwKmDxayiVSf47AOJownEwVWGMGWU0UuAlBgqeHLb0rdz1t7teGnFZM3i9/+VyZ5hGqIlQvrygb1vFDarDYIOJA0ZuAJskl0tXMwbwdRc0NRo2XgJ8sgl5xi36lLtHa/jt0ddYo57aqtm7b2MB03UqQGtSyt7RPowiYuHztwwmqtEiP6iMmXhaYOaky4VidSzzwP0tKG31GDiubSPX3gdRKquHpdJ34ypAv+1nzGULfBrwqpXm5GNi4Nr4YTaaZuD2X7hS4VqQqXFFZjERMCQ1nJBDP/SA58Lv93azXL9Fkd5xszt7BKMXoUTEh17sxKLDW+WrovqtIh1bGHq43P54g/dtI941bQaUOxlpHvBW90r0Jj763j4XURrvGl1vOA/B45fxe1/WABP9TRVdHABN/N7/Df7bf316dS/B0vIQgIAoKAICAIhBOBakV0I3eQV9FgoREsRsHPkoIdgRwvCCQzAiB2TNM7U5IZ6BBXG6ROIIbwJoHVmE3WkZbnLZZyWqBKOMGvyinlEKqwI4aXUxtWapkxe9NRbRWqXGUxiAp7h6lMRKmRO0t6am6ol9TtaANvkwyqz+q0mlw1MamBSR/Iqz/5xq0GcJjycOOAJxc5M6enJ9uVU7uilXtPE0gytwOTV1OtlzVDuqBPY6Zu5eLJltuRk99vNc6y4ia5IkPaNFzxqzblMcY0latpwhMLn7tIjjxZM3AqZFVtiCAh352zXVsX6QuoDKner5BePHqBqLC8vW9Qoz723Vp+n3fwZ1TfC8UwcP+6u34Jv8h3/WhZCgYBPITq8tFieoeLEZjfK+i3e80i9PsTzel2fmDjz4ORYMYixwoCgoAgIAgIAk4IwEsVIgk11rGVSkoPIbBS+jss15coAkjZM41ygyWw1hiKKH8VXZhkexBYiVTzW2BULIMKwolw+n2rbmiOqmGl2T9IDfhjQbWiRseqzubtGOu0dXqKU2f2kvJlNo9+V8Wd8fCnGtg8Rj1lQG34jT06cY2HoS7Syr7kdECkDyYlOlct7KGaM4m3pPRrHnPJwTcqS4bglVJnDOVOLoPYMceRlGWTFDPPmZQ+gzmmGE/4x/Spw0oz/avtmxX7CVXxIp3EQnqYWUwAYw8FcRoMzr6OhRKlB0/u1fiazdyPsfm1hI7AOSYo+3y+kmY4eCrh4cL0R5sEnVatn1GWEkMAiubnftrIRUCW0fZjFzx2R9Un+Ch+wCpdkM4SgoAgIAgIAoJAciJgphGaWUXJObZQnVv/lR+qs0i/gkAEI7D+gK6qQVoAnnwnNTBRAymmhr8KLPxgNsm0xmW8G7hjQr5g+wn1VATFlFP8xiXZ1WjNk2XzyTFSDM3qg948VzayGsn06upWs7B6Csf2BKMyWck8makFm8QnNd6bu8MjvaNuyVxWiflg/EhwbJ8GJbRhwdze7ZSuSw6+UVm9KN60wSSyYJJJUMe5HTkz6X2apvxun8+f/vC39uk9dTwq+0EF9PEfu/zpIln3gY8U0j3t4D9x+u+MLRFPvtnjxetjrctSWkU1CgXLqPmiwlIxOnD6MvUcvZRWsLJTDcCGCqlj+DOcVPJd7U/a/iOwlL0fOwxfRBNX7vc4CAVP7m1Ygn59vJnlo+ixg6wQBAQBQUAQEASSAQFTdOHko5kMwwrpKYXACim80nk0IAAiRo1qRXN6EDvq9sTapidUtoxpqYyhdPLWx3Kj+mCRnJl8kmkoVW+SZU4pfCfYb8pk5Fs7pA/O2aynDzbk9EVvkyizUiEUXbUSSQNEqt+vRopibyaJ4DuVlPiN/brMiXGB7Bnok7truWKmezePTSXBrv/1/zw8v5IybvWYs1c8PY7cILBOGV46SIt0O0xSDKRZJJimg8T9iCu1mR+r95nsND8vbmMSbH/4m3+klV6NE+mry/Z4evAEe65QHQ8l3O11dS+8SasOuE7+hmr8oe4XlVK7j1xKu45f1E6Fv3uoRlEhNan3RK1DWfALAVRPfZnTjO8au8Lj+xQdVOaiLlM5lfPVW6pQtoxJU/T6NRDZSRAQBAQBQUAQCBABU4G1+8TFqKjCHeBlarsLgaXBIQupEYHNh3UCq6phBB0oJibzXZ0JMX8nI8v36E/j4eFkqqTU8ZjphvmyZaDyBbKpu1htVOdTI0v6NFS/lK7sghfLfEPN1b6ys3k7fJvMUuI3c8qer7Hi/D+tOagpvEAO9axVVB2a320Qd09MXqftD/+vUb1re1RW1HYKYAEETXWuTKiG2+lcJy/oBBbOmTZN8Lfm0xf1fk1vKPWaktouyOk0akAtBLI0EqIjp7O+3bOax1Denr2NPpkX2Uqs+5qWIqQqqTF87s6oUmE93KK0hxcWUglTe6yKO013OlRKzc/37kkDG1AzLwra1I5bqK5/ORPDnT5cROOXeX42M/P35AudK9I0LgJiThBCNR7pVxAQBAQBQUAQCASBioWyaVkH+C2+6aA+tw2kv2jYN/hZUjRcpYxREPCCAFLwTEKiio+Kf1660VabSqfqxXQCRNtZWQAptGKvrrJowOW5fYXpV9WE/bKcSCSTmGpSNq+mLMI5lrH6Cx5YdiBlom0lZwJrzf4zdNgwhIfnlK8A1t8aqRmdqhSkpHoz/Xf6Zn7CkDBenPuFzpUSVYH5GqPTtoqF9Mp2UL25GScu6t5AebO6o5QyFVihILDggaUq1ICLWSjATawC7es2Nlj+7y2VPQ7736/bI5rEgiH9IFOFxcQH/kajJYrmykxdjIqEXyyJI7PiZrRcjxvjXMFkyb3jVnoUbShXICtNYZLEV7VZN84vfSQgAP+xZ37YQL2YTIw7dTlhw7+tBjG56dchzei+pjGuPFDwOIGsEAQEAUFAEBAEXEAAvxnNucqWI+dd6DlyuxACK3LfGxlZGBAACYNKX2oEM4n4i0koMyURCix/YsfxCx5jqc8/or0FzMvNtCIQWGYgpWuhYfTeqoKn59RcTsdTAznV+bPpKhB7u2k6XCZ/Vkfll70/XpEGteeETv7cWa+4uovf7UU7T9Cvm/XxYrLchz1K3I4SefTqHnGn9GsI9nymYgkqOjfCg8AKgeEwyNJChlLoqEFsunEtwfTRp2FJepF9pcwAifVpBFfHu612MU8V1m87zcuI6OUHmsVo48Nn8vvVB7V1qWVh6e6T1PeLVXT52l/aJUNl+/2DjQipoxLhQQDfRR0+XEiTYg94nBAFIF7uWom+va8BIRVWQhAQBAQBQUAQiHQEKhbUH7YLgRXp75iMTxAIAoHNhv8V/Krg5ZTUQN6xqmJCP6a5nre+VxjpgxgHVAzeAkTZBUOB1NiBwFrNFREvKMoq9NeivE5gQf31m1GlsF0l5+qDIOlmbjyiDatrtcTTB79jDxw1YvJloXqlvBN06r5qG8Tda2xqrQbS7t7oVtVRfabul5R2CWMSY3qOJaVP9Zjj5/WUu7wuEU2nL+n9mn5V6hiCaRfMrpOch856qhmC6d+NYwc0KUUvOZBYb83aRt+s8EwdcuOcwfYBZZuTCmtjFMnC8TCgKas91Ri/NC6qUiHVsSe1vZgru/b/chVdua6TV20qFrAq2nnzGUzq+eQ4ZwTwMOcD9sHrNWaZo1K0ZvGc9MtjTalf41J+p/07n0nWCgKCgCAgCAgC4UMAaYRqbD3iWUVX3R7tbVFgRfs7KOMPCgHzD7wSp4s5peD5exL4m6gBdUp+Y4KvblfbeCqsRr2SvtMHlxrpRFBBmZ5E6M9MH4QhbQFjTJvYB+yYQaS0raSTXPbYcI2maqhL9UL2ZsdXpGv8YpBevdjkOSlYo0LUjmO6+fHT7ctTDk5nC0WA1FTj6vW/1cWg24fP6RUrC+VIOoGqDsbDA8ul1ET1HGibKgWndBzzmORY7s8kFpQVZrwwdRP9zNUlIzGgwjIVbtHmIzWwWWkNWhiXm5X3tB1S2AI8lgaMX8Wpk/p9A/6CI7nYBKT/EqFHYNvR89TtkyX04e87iZ/BaAFPyFf43vADK+Fi/Cy4onUgC4KAICAICAKCQDIiYKYQ7uKsnmtcATqlhhBYKfWdlevyC4GtRo6weQPwqxNlp9i4M8oSUd2S/imM4A9lTup8pQ/iJKaBe2NORXEK08C9Rfl8Hruhmp8apfJmodJefsjP2KBP9oGZt33tPqeuO0R/KjdSmK0nxbwdRBgqyakBQg5eR6GKdKyEUcPtKnuHzugEVpFcwRNY8Bm6ZKQqhcIDC7jgs6JGnMseYWrfwbahrIApsxowu3xi0jomeo+rqyOiDRXWXUaa7bT1hwh/B9ESjcvkoRjjMxJtJFxSsUaBkPvHx2r3PvTVmQsMjLjLnUqpSR1bajkOil0Ubej68WLafNjTEwQpnHOfaE59+d6QxixbmlpAkusUBAQBQUAQiGoEKhgphKia7nbGSCQBpM/MImlkMhZBIAwIbOWnsmpUYjIkmDBVVHX9TJGDMfjJi3rKV30fx4KgiOXUQDUaOaQPwo9o21FdRmqmD6KP37bqk/c2FfM7qqOQPjh701H1tB5GzdpGXgA5Z6YPIj0xTxJS5T76Y6eHTxj8jUI58UhvVAR0ncDiaopqFMmpp+Sp2/xtm/5XOC5PFne8tcwxRBOBhbHDlHlw67LaZdzgz/WDX68mFCeItLijXjFKq0ysoeT5kat5RktAZXlXfd3rDveQ4xf04gXRcj3+jnM/G4PfO26VR/o2il182KsGVwySn1/+YpnU/Q6euUy3jl5G8LvDj3k18J3xZNtyNGFAfSos/mMqNNIWBAQBQUAQiDIEkIWS08hE2X868iw93IJVfkG5haT0E3UIwKtqn1F9CCmESY3DTESYbHc9PxVYpvqqQPYMVNzwXlLHBV8rVRqK+a1TxcIFO3RiKjunw9Vkc3Y1MGbT7K+tF/8rEHQnL15TD6dOrCbwFejbVLrdwemDgQb8xeCfo0ZHrmLodN3qPsG2zSp7mAiBlHMjQESaeBbJmTnors30QRAg2TPpqZBBn+TfDkoaJvcojHDFUH+5dS63+hnSpiz1bVRS6w7E0MAJqzmVNrKIFRRSaM+fczW+W7VfXYz49q21i3KqXMLPDRCGP605FPHjTuoA8TCiz7gVHg8lOlQuSB/cXl2q2iUV2ACOQ6EPqK7WHTjrcRSqPk59uDE9ykR2KB9+eJxYVggCgoAgIAgIAiFCwJw3CoEVIqClW0EgORHYbiiT8EMWPlJJDdP/Csa8Zf3sz0O5xcSXL38os6pg1SI5yMkI2PS/alo2n8fkae5mXVEFBr8Wm9k6xaxNunk70gdNBY553BRjoopqW07VEs3jzOX/zd5OmPjaAWXUcx31dDB7m5uvN4wn9yAL3QqnL5eiLqQQnr6sk4w5M6f3+XkK5nrw/rPIRoudnHsfyYG/LZi6d69ZRBsmvN1AYv15Qzfb1nZKhoXe9UtoZ4UHnHn/0naIsAV8/qA8UsNMRVa3RXMbD0b6cbVB0wuuAVeUHc7Kq7SivArp24uCJEgZ7DNupYdaF/fuh1qUpumPNqGqRXOEdBzSuSAgCAgCgoAgEE4ETE/aA6LACif8ci5BIDwIwNRVjdJcFS9juqQb6poEVt2SufyqZGT5X7HRrxr1Y5z9rOx9TGKqeTlPXyukuqH6lRpO/ldzjeqDrSrkd5xkIX1wlpE+2LmqrgxRz4U2jplmGGR3q1nYL1zUvmD8/OsWnWiDKXfxPMGrldTzOLUvXNX9hrJmSOsaGWT6ReXLloGycP/BxlmDwMqdJTQG9xhnJjZANlVYZtpqsNcTiuNv4tnsO7dW86iSB8XGW79sC8Upk9wn0okLc0EINaYbf1fqtkhsd6uhk4WbDp0n8/MfieMOZEy43w2euJZQIVYNEP1j+tQJ6vtF7U/azgjAG24gpwIjZdAUyZbk74ofHmpEz3SoIMb5zvDJWkFAEBAEBIEoRqCYUbkemUEpNRI0/Sn1CuW6BAEvCJhpbaYBnpfDvK5etVf3z6njZ/rgQTbxRtqVGg18+F8d4ap124/pCpfmDsbsSDO8wGoANcz9zl25Tiv26NUP21UqoB4S30Z/ZvXBxNIHYTRvHmOqXuJP4KMxdtEebUKCVMhBLfXqZj4OD2oTFBVqZMvoHhlkprCWMtLx1PMG0j59SVdg/X/2vgNOaur7/v2U3nuHpffeERuKiGIBFAUVFLtYUFHsvdevomIBpSiKYqEriNJBeu9t6b33ov//PVmyvHeTzM7Mzs5kZu/9fGBSX15uMpl9J+ecW5AYMBkZ1Yqb5XtXxkn5XvgQfdKlAVVSNI3zB5JUdRxjJmZk/tJqG2Bbu7qmVHcUFVOIlJQ1reNHYj0YSLyQwBhWmTQSx4llGx+MX6X+WmnKtsGoHNS9icoXwedGLM/Rr8eeQb81V340Rf3JCpKgv1fQb9pIYl01LFfQr92XfkkGJAOSAcmAZCBdGeB/Yx2Io4I/oZ64AFihZky2T5gMrGCD7OolzUF4KCcKxgsHlYKtQDhzncm+KpQ7W0ApI5cPAsypV8Yp+ZvIqqrVLp1PwU9HD1Re02V58Km52IXNhX3GssFm9RJ50yw5/tsC0+cGUsfKxULLMzyJuF9O1xZJKpJAkp4TPu0EsNLPkLKPsWHvUXvS+kyKEKNsP/vRymgAi393OLvROEmfzUDe9uVtjQ2PJnSx98+L1V5WWCGWXecSPICfnOkTy/6ldWxI565ijM14Y5EFOkdIIvtOWmdsUpDk2IPvbKqK5TOfu8ZGMpPuDAyn3xlIBncw/zpIBnu3rUbf70YCIKY7y9KAZEAyIBmQDPg5A9zEfT9TY/i576H2TQCsUDMm2ydEBmCAzgd/kHmEG3OTTfYVgCAARsHEFDKb1aMFyQcD+V9NXGlu7+ZrhfYmsDfRl1Ytph/GmuYVBeFNlSubE6CBNIazJa6qbTJCeOOHSHrHPbPaM88hvo/b/Oc0KDxFckg74H11OzPgttdlxOd+xmbKS4BhpIJLqMqTn1QkgksIC2aghBD95exFGPfHEzsI1UdfuraWkXqwE98nRo1fAuAvBzh59VC/9NWrH+3qmD5YkJqCURrvAcD2yWGLjdNA4YTPCTipWDR8X0WjQZlxzQAKezz640LjRQw2xIsgVBjscWnlkCXrrgeShZIByYBkQDIgGfBxBvjLamFg+fhiSdckA+FkYNm2g0YVP7TBq/OF0i73v6pPlf6yZ0nbTwvA0DSSPuhxUZUi+qwxDeCNb+/mawXPqHW7TXbP5TVMAOvYqTOKs7SupCpZbvEPeXRxKSCXNPH9Ri/arlDZzQ4M6K5jRs72Oq/PXfRG/YfZm4zVNzYu42CSGRtEeGY7e6tfPIJsClRW1KNixAAs07crHxUUyMioRQCQHvjRdDOo17fx23SXpmWpoqZ5/w+ds1kt2WL6GcWq3wC1ubwXDMp4iqYkjQZjVA/OQNXXxcM0wOJ7B89Tx6miqB4vXVcrwyuk6sfLbNMwa4dk86WRyxynjt/QsY9cpFrSCxkJyYBkQDIgGZAMZIYMcAYWXsQmaggDK1GvrJxXwAzAz0kPVAuElCjcmLXB9JGC6XIwARYYR8i9JHxob+7GfYpL2rivFbbjPiDFyBycywwnr9ptAEyowtjaw/9q5MJtaDY1ahJbLa2KjT/N3Zy6PSZgDg+T8lDiyynrqSKcCYL1oCpS0YxtB0x/spLMTDvcvuA67jx00ti9UpBVK42dXGb4j5ZbhUqX3cJeBJ+fInnM78+CTc7y9WEfIAo7plQmrEUMxHPAM4ygXxq5VGGw7IdoVc0EoRcTuMaBZT/006sPeMY0ZwUqpq81JdRe+/pxOe4LsH84WNu5SVl1W7NyfuxyQvQJ7N57v52rPvl7reN8urcsT55jTVWJCD2nHQeQBZIByYBkQDIgGfBhBjhxQlev+LC76eqSAFjpSp/sHK8Z4ABWo6TwzV3BZFrKqk41rRC4iqCdN+5nBVCoVAHTUNreFp8TmUFwXSoFzn2tsN2frGIfTGxhBK0HrygIk2XILnicPPOvQwp4XX1TCsT3WU0m86jmpsfNNKgLJTAwHzJro7HLjY3KqDKsyoaxQQbMbNl/zGg1Usdfz9hXuDxcImYcOISZaANYAH/qlzW/Qws2mSBxCN2P2aYY9D7YqrJx/PkExA1faHq5GRtEcQaFIXJrABsOzZ8hUexOWIfirJgZ6/bEldxUP+mvqLgErwgL9u0r19cKKAPX25Dp0DKASoOdPp+p3OSzva6oql68pqbjty60I8jWkgHJgGRAMiAZiL8MZDnfHOehGn2ihgBYiXpl5bw8MwBvnrmMgZUeAGv+xgOG/wZYBg3KOU3V3TrEJUAXVynqtlnqMl7hijMysOEOqmi4gIFHbZg08Pipf9VfK3amtouJth6eVvDcOnTCrMTHDaWNhmhmyD8m8ATm1SUe5vB8X3v+479WGwwxSBA5uGBvm5Gfm/dxAMsbYAylH+uZxLNsoVxByU6DOQYYCnpkNAMLx+L3PL8H9f74efruiyo4gMQvJq/zBciSjbz1OADEPfT8nFv0rWVlE9zfTs8rVGKNt4C09P1xpkdakTzZ1Rfke8Xfgsbbufm1v2foj/EHv5/vKJiC39zX29dWD19eRYBDv1486ZdkQDIgGZAMZGgGsjIACyoCWNUkYgiAlYhXVc4pYAZQvYvLbtIDYMEfSo/aZLacO7vp86Kvt6f3kTk4H+S7yQHt7eFrxUEPyPJ4wDgdDy078lJfwK7S46+VO9VRArHsAPvnylrF7VnjcxiTAjYpX1CVDsASO0zgyc/zthhtgDmFKmTBBkCjH2abEsSODUsrgDzRDLzt33PklHHIpMKRMVrH9dSjUgTNng8zwDFfjoz1wMJ5cA+5FWTkfoL5Aunn69dpgA/PXV3D6N7qnUfUIp94YXGJ8az1+3wBrhkJCzCD+5z7NMDMPZ4CrNueQxcYLy6IhKj6dKkv0rUMvJCvjV7u8IBMMWtvqm5rnpSBR5amJQOSAcmAZEAy4O8MZDnPOc5KVBaW80z9fW2kd5KBdGeAG67Du6dCOsyzOYCFKoLBxOTVuwygKWfW81Ug7yzua1U8X3aFymQ8xizebiyCfJAzAkYwT6sLKhVxlSLuOnxCTVptVj3s1CiwFBAlzTk4dmuIfjD9SJqjvzVAVcfHSB4S7VjLZH5ggUVK5scBrLQ8xUI59yMMwMrDjLNDaSvYbeuQnBWDeDtO//v/1LJth+zZuPpsXaM4gaUm0+5HMnT3Q3AwegcVGdi8L34YTJCbVi2e10glJMfxFK+NXqHW7zGLZMCbD89RiYzJwMcT1qhBM01mLxhvIx5sKXnPmJRLq5IByYBkQDIQRxnISmMlHmeEgcVTIvOSgfjMAAewmpCvDAZV4QTexC/aYno98QGmV7t/kzRPD0iDchCI5RXc1wqDbO5rBfkgl0fyaoFgFXHpopenFcAoHUiCwfXVdUt6ddFignzPmFPoZyi+UXuPnFTcAP7WZkmqZH4TUPDsRARXrGMsKYBXWUNgkgXqCgfHKhWNDLMLMhteEQ0svIyOvMTyQjEEPRYxKau+zs/T+F5xoHbUom0K3/dYBxhM3DD/nw0mCzTWfUzr+NVLmADWqjhiYI1btsNRGRVehI+2jj7AnlaeE2V930lr1f8mrDZOB3Lar7o1ijor1+iEzEgGJAOSAcmAZMAnGcgKOQ2L01ohLLYqrmedUF1cn450XjKQdgbmJpvm0gCwwg20BaaJHfDiCKY9UDonr9pl72Z9uskB7Q12EcuCyw3BrOIxZonJvgJwcSGVFNcD2+h9xkCgbe0S+ibWNLzChs01pYBX1ymp8gQAQ9BHSMf0uDVEacdXVHnwxOlzxoNgPcGXKBbBQaZIsaRw/ZMZgyNSbR89eU4aaucsGgwsHItXuuRG/nZ/4uETslcd10bVSM6CjMV5AGxvyqqcQkYYT8EZWPECYEF6/vQvi41Ugzn7cecGEQO2jcZlRi2mF0Tv/mF6jSEt795QVzUsZxaOkHRJBiQDkgHJgGQgs2bAzarl9H/nxlOJlBcBsBLpasq5pJmBnQQEcelHMICTV8O8AhXexAfjfzV7wz6HMfql1bwN3McS6KT7WqESWYtKTqnibwtMwMlNPvjjnE3G6VxWrZhy80j6hwbFaxgDCT5UgaIfgU96wCvrImKWBRsb9x5VA6YnG5uDHRaoMqOxcYRnuMwvUj5VOE9O661c1GSlhHsqR1xYQrmyZTwDC/2tRxXY9FjOwEx9nd+ncc9dxIoqcLlwrM6BP7MwyI+n4N+jbQfiQwL58qhlaj8xWPV4+bqa6ZKg623JtDMD7zGjfGzxGhm2t28Q+LfI2ZIskQxIBiQDkgHJQOJmgFchxJme0UgWiXTmAmAl0tWUc0kzA3wACoZSzVL50tzPbQMwlMYv32GsCrbS3niSoegBL6tAIM1vzLMKVQW5rxVYDEu3muwn/kf+cvIk4mbUnRqX0buSOv0dqyQIn7DmFZygmb0DGEV/sPO6/YIkh8zR3t7t882xK9QpYifZgYoaD7WqbM9G/XPNLtObhzNHwu3QGjIF16MYVWnMnysyRuvHiCnEA4BnNKJGSfO7tIHuiZNnnIywaPQlEse4mLEX57HqpZE4Rjht1C1jAoXryKvND/LGYM+laN5sxqaH6Z71+30yYflOxf0FUfjipsaBPQGNE5WZkDIwY90eNXXNHmOfnlRpsGuIrF6jAZmRDEgGJAOSAclAAmYgBxUh4hGPxZT4ObjNC4DllhVZlrAZAKtID0hxIPsLJ8Au4eXfryRgKa1IAb52Gpt5VQDERutpcMq9hNw8q36db7KvYPIOXy09hjL2VYl8OZQb6AamGrxe9MCggXtu6eu/nrbBYIlBati5aTl9k4DTGKyMW2bm5fYW5VXFCFbnC9gBthKAADfHjpTMjzO7ItUuTuGYVl0S8zDAd6MVY12koxrzNoJ/Gj/XSB8zI9trmGRKlFCNEB5ysY6aBBTqjy14dHLpbqz7GOj4hXJnd6zefzT2eXV06uwCVFZ9YcRSYzUqKb7RoU7Y/olGYzLjyAB+J7l0EED//ZdUcmwrCyQDkgHJgGRAMpDZMwBLGNiu6MHHBPq6eJ4WACuer570PeQMzFpvmh27yfCCbXQ8A1tQtYybE7u1tXjLQbWdzNb1CAR8wUhdDxg4c1kejLt/Y9uBfaWDc8cJ2ODb3ETsKzdwY8isTYbEDT4vN5AnkFfsIeP1YfM2G6tvocqDbtJEY6OzM2BfvDJyubEK5dEfprftsYp1u8wqY/BD4tKncPvGpZnc/DzcdrHfUSYhDEbSmp7j6fsCtOTV+1ZuN1ls+vZ+n65F7Ez8QaDH/M2mh56+LlrTOYlRV6WYKTldQs+VeIkCObMaABz6vffoSd92/32SsfFn9vPtapKZvhOI8+1JxFnHJlP1W+6h9wj9HuDel5AMSAYkA5IByYBkwJkB/hvJizo594jPJeZf5vF5DtJryUBQGYDPCve/al7RWxIXqFG8HeaG6VfWLBHU2/gRTA5YkaR5XgwcAFPD5pnMqmvrlXKATuNJ3rKLDIb1uLGhCTj9TAytwyfOycsAyNzUxCl/gVn14JnJelOW30h+GnR6xSd/rXEYr3dvWd5rc8fyLyevV6t2mkBHrzZVVaBjOhqJ8AIuHyxbMFfEBk8cwPK6/uGcEoBKPQA+RjOqFTdlhJC3xWtApluX5L16+AWQq1XazPPKOKrkByZngVymjPCAD5ht+nW2p+EvNpjJqS8kZusNafgB2vvLZ3gZAIClByrA3uzye6VvI9OSAcmAZEAyIBnIzBlAtXg9hIGlZ0OmJQNxmIFpzEsD4Aj37An2tAC2cGmUWyU/3h6YRtxo/ao63sAXTOL5m/8bGDCFYwycnmwcqj6ZaVcpfo6hASnXNyTx0wPSwTIEyvCA9xUfTN5xQXm+Weo8vK/A2NID7K+S+XPqizynN+87pj6buNZYj+tyc4y9Zfj1jRRLCtcCslA9KjM2jb4u1OmjDMDKnd38MQu1vVC35wysHYxtGGp7sd6+dEHzPj5w7FSsu2QdnzOwkqkwQDzFeXqJR+o4vRPwXeC7+txvS42+QZL7RofaQb2s8N0JxVGHDh43JaVtqOpu1vPlnWscXULpqmRAMiAZkAxEOQNc+bLPx+z29KRG/hpIT/Zk37jKwNS1phlsy8qFDYldKCczetF2Y/OS+XMEVdL7rxW7HFWsOjVysqDsxn+YbQJDqHJYmzFClm49qGYnm95enP00YcVOBUNtPe69qKI+a02DvdN/qllJEAMH7m2k7/jBn6sNuSEkV49dUVXfxHMaTLaXRi4jA+dzxu2Qb793Y10Hy8yzkQxawQGsSLGktuw/Zpwvuh+pttEWN3GPVgVCHBsBXzU9dpCfWjwH5G568IG1vi6a0xWKmOBz8p5j0Tx8BI5lIlYMz4pA++lvYsisjWoJPV/1gIwtqXBufZFMZ0AGjp00maTRlEJnwOlIk5IByYBkQDIgGcjwDPCCYFv3x0eV51ATIwBWqBmT7eMyA//Rm/TpDMC6sHLRsM4FoMuoxduMfa+pWzKgwbm98Y9zNtuT1idM5MuThNAtIHmcuGqXseoWF1P0gTOSjW1gdHtV7ZLGsn5TTFAKJtBu/l8AzPYcMRkmD1/m7UOFyoejWS7A1ipdwGStGJ3RZiB9/HuleY7dyLidg3TaLlGbXMtYUpHyv+LAGJiA8DWLVHC6MKcTR+o4Xu2UIDBXj3gHsLiM1S8AFgdRkGcuH9Wvg9+mOeOKcGtfxf6jp9QH41cbfQLQfI8L8G9sJDMRyYDDyy9bloi0K41IBiQDkgHJgGQgUTPgALBoLJmIIQBWIl5VOSdHBhZsPqD20YBEj4uqmBX69HWBpmHCvnGvyXa4pm6pQLtY6yCVm7LG9PUIJJODlI9wt9SAQTb8r/SAPGsk89S6rXmSYTz9DxnXz91oGk/fe3FFhwQG3ld9J63Tm1eXViuq6hDryy0A5L06epkhr8lLfexxaSW3zR3LkI/ePy82lsMU+XHyvop1nCbvsU3sGleiwWskggNYkCb+XwTpJ6ieqEe0GVjFGQNrZ5xLCPP5lIEFTyAem+g7FS/xn88RrD5/r1EcrHzt+trGszVech2P/eRAfAQfkfGYDumzZEAyIBmQDEgG0sxA6QLmS+QtwsBKM2eygWTAtxngvlOViuamamnOAWAwJ/ArmaHrUY7agbQvrfiO5Cj6mA1gz9V1TKaU3cZRApOcvlKlFJdRfEXMqlMEttiRjTxCumgsLYBMqKClB+SO7YgxxgNtoZqgHg+1qqzPGtMjF20jVptZ1fGuiyo4zJmNnc7OgCly37fzHAPE59vVCLpyoVu7kVoGgPKMjh5Sw5WLRgbAykgDd5z/Ybp39MgTZQ+svDlMpsQJTR6q9ytepnV5K/rsVrUzFucCYLJgLlPeuJd9f2PRr2COiecSAHM9cvuIYQO59bczN+rdU2DZurFWjY1kJmIZ4FLkP5buiFjb0pBkQDIgGZAMSAYSMQPc2xhKGfzNlWghDKxEu6JyPo4MnKIB9OjFpmdV+/qlHdsFswBtAbjRowMZlqfFoDlx+l/F5YM3NCrjWdVu2NzNDnDnjgsq6Ie1wKbvZ5uDrE6Ny6iiJCG0A5WcOPuqB4FS3AwXTK6vppjsq1bEvmpcvpDdlPF56MRp9fqYFcayUgSMBSuveWXUMrV8+yFj/7a1Sqjr65sMM2ODKM5wk3VI/PIzsCDc7qxh1RZ1s/1w29T3O3TcBAY4g0jfNiOm/0/5TQyWvrPcxTy8imvfr/S1nP69eSU/zhhK/xEypgX08/S/5h9URXyU13d+X2kA2PD1e6pt9YxJhrTqmgEAhnrgd2w1e3bq62VaMiAZkAxIBiQDmT0DXDWDCvWJyMISACuz3+mZ4PzhI8Wr6qFKXjgxidraz8q9dwyinDpkfrwPXVskuXbhDDGqvp6+wVjXukYxh9H311RV8MTpc+yr88n9/P5Lzsn3gLhzD5cyVFHNTbb44Z+rjLZgpP7M1TWMPugzHxCrazc9FPV48dpaDoaYvt6eHrdshxrKvMDAiHv/pnppAoF2Gxn9uW63aXhfMULsK1wTzsCKVHVDOyeHCVzUgzOi9HUynXYG8OOvB5dI6uuiPc39uQ6wym3R7k+wx+NMT+xXOHfkfOCC7YfbdnOoIMYf9IzSA0UxwmXs6u3IdPAZaE3FQyAp14MXNdHXybRkQDIgGZAMSAYyewYqkq9yIfb31DxmI5MIORIAKxGuopxDwAz8Nn+rsb5J+YJhD0aGzTPlg42TCqZZkQqgxYAZyUYf4L/lZQoOg/jN+0zTvbuZcTCkQlziAlaZPsgas2S7o4JWT6qgBTaBHou3HFD8vG5uUlZVLZ5X3yx1ehZ5an1L/lx6XFa9mLqyVnF9kes0qKxPDFtkrMud7Xz1ZdfGCh5ffgnOwALAFonYRkw37u3iledwj3fohMnAypvDlJmF225m3W8nY2AVy2cOqmOZFweAxcD1WPYt0LF5oQjIqXNkPT/QLlFZh2f1m2NNZilkmj0u9ZZSR6VjmfAgYAmDUazHL/T7y70s9fUyLRmQDEgGJAOSgcycASiCGpYraKRg7kazUr2xMk5nzJFsnJ6EdFsy4JUB/LH718qdxuoODcw/io2VAWYAakxYYbYFGWBaARnfCiaXQ6U+t4BE8X9/rjFW1StbQDWjaoV6fDRhjeEhA4PbHq3Osa9g5P0Gk/gBlYfcUQ8cD0bqNG5LDVSte6y1u5E6pD+P/rjQMJfPkfU89cp1tdJkT6Gq4u3fzFaHGcDyEu2L6l5+inWsAmHFIpHp36odpmwSA/fiEQZEDh47ZaQyX5QBrOOnTQAtC+h8cRonz/yrVhLoqgf35tHXRXuag77HmYF/tPsT7PE4nb1ohL8DwfaDbwd26IJNB4zFAP05UGhsIDMZloHO9CJFD4DzbzGAUV8v05IByYBkQDIgGcjsGWhMRA09Jq7crf5jvr76+nicFgArHq+a9DnoDAxfsNXwWslO7CM3A/NgGuw3dYMB9AB84D4dbu30nWh6S1UgIOnSasXcNlU/kvcVryQGI3XdY2vtrsPq+9mbjP3BvtIZXTjmdlb97YkrqzkMqL+cvM4xQEcVwWKskpx9sJdGLHW0+yiBXTrzy95W/zxIzJA7BsxWOxibpR2Z2HcKAgTU24rG9HoycdajUrHIMLBWbDfBkOol8xrXVj9muNNc8qZ7ooXbZij7cfZgaZKtxmvMS95vMOYAFDci1qVfQi/ggD5xdqVf+sn7wb2M9GcX3zZa85Buv8cKXqDS4y3N3KXe0epXZj5OUuHcCr8ReoAtPHOdWTxEXy/TkgHJgGRAMiAZyMwZuKRqUeP0txKBAPYIiRQCYCXS1ZRzMTIAOchPBAjp0bZ2ibDepu86fEL9wqoP3to8SaUlz8If2rPZQ+P+Syoq+FXxQGW+T/4y2VcNyxVQ8L/S482xK9W/GpIOUO5JAqfsSCbwBRUF9WhZubC6is5dD7CMPvl7rb5IVS+RV9178Tkml75yFJnXDycvLz0uqFRY3cvkjfp6TJ+mgeF9380lA94jxioAAR/4yPfK7hxYe9yvLFIMLM7Eq14in33YiHziDQv3JisWZXNsDsCWLRhetc+IJCSdjUwi9qQedUvnV4WZL4++PtrTvEJi9iyxl+EFkwNIifWo5iFX1rfJ6OkR9Gzj3ndPtKkWN6BgRucnVu2/cE1Nh7z8ueFLFNiREpIByYBkQDIgGZAMmBnAWK5qcVM5wsdv5h7xNycAVvxdM+lxkBlYtu2Qg13UqZEpSQiyKTVwerKC3M6ObOTPcScZ+wYKAGgf/7Xa2KQkVerzMpAfNDNZcfbMk1dWNxg6U9fsVn+v3GW0icp/pQqksFxwTFT405kZkHC9TAbrOosLQMezvy4xtgOm9u6NdV0HbJv3HVPPD19qHDdfjiwWAHWeCxhnb2gf55/1JvJfkTyl+ndr7AvfG7uv9ieXD+Jaw/w+EsEBrBolIwtg7Sf54BkN3ESfo+3ZxAGscoXiF8CavMoEsPhbrUjcE+lp4yRVN9UjO8l54yGclTjNP7SifQ5gX33yt/nyoHbpfA72T7T7JcdTqgT9ZuovaJCT9VRkoz8xoiUkA5IByYBkQDIgGTAzgPHe9aTM0WMs+SIn0ouf+PhrV78CMi0ZCDIDXGZXmkAeMIZCjUNU1Y0bpqPyoJfMzm5/ypo9igM3PUgO6MaSAMPrU8aGgtF7C62/J2iw+uKIZXbz1ieqNN1Pkj87fiPJ5EQ26IbfVhXGcPiSGFqzNpig0l0XVlB1yxSwm0r9PHLyjLpn8FwF/ys9XmtfW5XM7w3sALx6hkAybhAPSdug7k1VQVYlQ287ltPrdplMMciIshCIld6AL9kGJk2EhDCSwSWaaJtX8ork8dza4uyasoW87xG3/f2yDFVbVu00mUKXeEh/Y9VnXhAAYKvfAwxHFDPQoxq9LYxlgH2VvPeY0YXHr6iqAoHzxsYyk6EZuI3YzvCC1APyd15xVV8v05IByYBkQDIgGcisGbi+finj1DGGG8lUNMYGcTbj/7924yyh0l1/ZACgE/yv9LiRvJbCGZAAvDpMII4d8MG55+KK9qzrJ8Cbt39faawD++omVlXJ3uC9P1YZpuxY3pvYV3r0nbTOAYA80aZqqrwC1dJeHmkCXACLerauojejFm4+oD4Yv8pYBnDvMRqw8cB5PE6m7dzIGt5fHN3X97XBK3h66QG549e3N07TM0vfJ9rTXOoYKYP5JVsOGub3kJGC5hvJADNBj1J0z6GaV7QC8sUlWw8ah6tdKr8xHy8znJEDKWa9Mv45F7AtOSAKtorfA1VM9chJ1QcjJdHV2w12GnLsTyeaUmpc51Y+AyuDPZ9E3A7PyjfohYkeMHTn1XD19TItGZAMSAYkA5KBzJqBMmTf0byiWQDsc3rxo1vQxHNuojeyiecsSd/jLgM/zdlsmC/jD+AuTcuFfB5gzXw9zZQqwEsqLdPhEYu2OioPAiByY18tIkDpZ+avdUPDMqqONlheS6ygzyeZg6wG5I91U+MUSSQGs2A74Y96PV6nP/p1ny6wqXoOXWDIzKAA/JC8qHJly6Lvak1/RgO78ct3GsurUMXAtzrWMZbpM17gVdbz/099ektDV5aXvn+sp7nBdKTYIQAO9YDvj1vO9W1Cnebyx0pRru6Iipt65KaKlo3Lmz+g+nq/TuM7OYkxGe8l0DoSTLxInTOKNOD7rEdVxrTU1/ll+h8GYKFaTizN50cv3uYAAgH665Jrv+QuM/ejNvnPta1l+jhCRojfaAnJgGRAMiAZkAxIBswM3Mc8jfGSG9WWEyEEwEqEqyjnYGQAXlUcdIIRejjshB9mb1aQvOjR49LK+qxjGhrj98eZ3lcw0wMoxQNgz0vEmiL8KTUw6H+q7TlTdoBTz5Np7el/z20EQO7NDnVSGWWQDnJvLNBHr9T+4Ec7L5KP1UYmlUGVw2YVndLKSat2qQ8nmOeBcvL9iUGlg2KpHacJHOPV0cutaor6coBXfW9tpK6oWVxf7MtpzjaLlME0B7DqEwAZ6eAMrLSA1kgffyLzZ7uQZLCxBCfCPb/3GUOxSJ5s6lafVaNbw6SueagqKliefg8uq27u8uyJ1jngTWQfVjgD3lfCvorWFQjtOA9dZv724rf5+1mbQmtEtpYMSAYkA5IByUAmyMCl1Yoq7rULYgLGavEeAmDF+xWU/jsyMHzhVgV2gh5gT4QaeLMLnw09WtHDAG+CA8U305IVSpbqATkgQCceP8zZZEn69OUPX17F8NcaQn+g80Hf3RdVSH0owWAdIJge8D2CcbseaOdXJqtEJcBH6Hg8lpIM7MEh8w1gDd3ve2tDhdLmboFqg08MW6wGzkg2VscTeLXnyEmFf3pUjYDMDz8WCzaZDKz6zNNFP2a405yBBbP8aAXYQFMYA+uy6mYFzWj1JT3HQeXSqeRfpweeHzkJWPZT8IIAkLr6nTUErz/uKxZLAOv3pdsdlQcfuUzYV366z/W+4LcXv8F68N8bfZ1MSwYkA5IByYBkILNmAH8TPtjqnE8y8oACZ78vjX8WlgBYmfWuTtDzRjUpoMt6NCGJSqOk0GVMX0xe76gK+CCxlQLF9oPHHdWscPzLiQHGYweBbG+PNX2yKhbJTdUNK6Rumkym32+MWZE6jwn4VfU8CzoBNHqEJIGHmXTwjQ61DZN0GFKjOqEeeamK4Ec313fIojbuParuGDBbHT1lVjjr3ba6alm5iN5E6jTAvnvJ6P0XJoVEBcR4YV7hZCAd0wP+POU9ADt9u7Sm4VXEDdYbRpiBhWvADdQj5d+V1vlh/Q8EkHKvuEvjzEdo2baD6gVWbRPeV91alA8mBVHdZjyjgdeIcEGAjDiZP9gfTWCb1tWk0hlxTK82wX7lhTPwpjIeWKJe55QZlvPf4C37jyv8lkpIBiQDkgHJgGRAMmBm4KraJVUFGlvq8dbvKxQKg8VzCIAVz1dP+u7IwMhF2xwSOf4Hr2MnlwVgUHH2FaoCpuXn8xrJ5/TKYDB8f75dTQczAoycF0YsNQb86MYr19dKlVxB3tJr2CJ1nD1kAE7Z3kkf/rnawezp0KC0IR0E6+GB7+YZEkQc650b6jrM1GHC3e2b2cRCMmWT7ci0/T4PFtuBY6fUrf1nOaofgnH2IQFk8TQg5CwpDK7dmHPIXygxba3J6AEoEml5H/p+hu4ZOwAeZgTLy25f/4Rst/+09foidUWN4qp4Pv9L2uxOo0JLD2IdnqRz0ePFa2uqHARk+im27D+m5jNGX5uaJfzURde+jF603Vh+Od0j0SwyoB/8L5K7crnwwyRR8zuLTT+HzDjdsFxBlZfksnpweba+TqYlA5IByYBkQDKQWTOAMcwTbc7Z0iAPm/cdd6hl4i0/AmDF2xWT/npmwKom9bfJvkI1qUuqmpIDzwa0Fe/+sdIYyNL3X71wTU1tC+ckPKPGLjFpmTeTyTov/409wUT4k5mjwyProirn+vrVlPUKzCk9bm1WTtmslmkkc/qCSRyTCudSr2nVmgAsQAq4i4ApPe67pKK6uk5JfZE6Toyru4lFxT2yLqhU2DJ5dxvYwYOkS79ZDhAtR9bz1FddG6nr6pUyjuH3mfmbzHw3JIllJALXSg8w2dzyqW8T6vSsDfuMXSC3sYFOY0UGzIxdsl3tPGTeY/dfatKWM+CwEWsSgPKTBBbze//2Fknqmrr+u4fHLDaBoAK5snqyIyOWpHQ2BJbMnI3mPYpqprEK/uwEW5GbhMeqb3Jc7wygknDdsqaMf/EWkznrvbeskQxIBiQDkgHJQObKwNV1SiiogfT4jMbL3DJFX+/3aQGw/H6FpH9BZ2AUsa/Wk1RLD/g7hQoUAMQYsXCb3oy6hYCjQBW+QMXkPlQFaVD5FMnueOwn0OdF5llVOHc2YmrVSN0UHlQf/rkqdR4TAKeevTplm52HTqhHf1xoeFTBa+qTLg0UzJwRGJS/NHKpmpNsgjItKxdWTzI0HkBXjyHzHBK6miSp+ZKAKLfqiet3H1Ed+053VFuE0fuQu5uRbNL/hu1Wos7+BwCUSwgbRMCnCrLWmazy2oUeUky9P6FOz2EAVtMKoctmQz0mtocUixdNwLHBlIiHwHV/nmSDvNom2GvPEXvSb4HvNYo26IHKqH43yx9DICd1PTXAormE+RmlrszgibnJ+xwvBx64pFJqUYwMPrw0n84M1C1jFsBYvOVgOluU3SUDkgHJgGRAMpCYGcA4GGogPWD5AbJGvIYAWPF65aTfRgYwCO3z9xpjGapJhWoijcHhq6OWG+3AK+qx1lWNZXzmEzo2Z288fVV1w4cK+6D956iiIKR6erx0Xa3UbQ+fOK0e+n6+IfmDFPGDTvVUbhr0pYBN8x3IOYzi9T/sPyd2Fqoo6gH/rE+6NDR8r+Cj9fAP8x0SwDIFc6qBdzZxrTg4c91e1aHvDJXMKhqWIMnYsPtbhOU5pvczFtNLCDTkvl+RqBQI8Ip7lKE6XyQDTLg5NCjXo0n56ABYP8/bopA7PbpfUF6f9e00gGd811DgQA+Az59RwQI/gkIw3+TSNz+yxPR84rn3/ayN+iJ1Ra3irsC4sVEGzcDfUI9SVL3xOqraKhEfGahCbDk9eNEUfZ1MSwYkA5IByYBkILNnAGqgjmQxo8dPc7c4xg76ej9PC4Dl56sjfQs6AyMXbVXrdzP2VRjVpOChxf00UJWqMFX18woYZ3/JBkSo7tepUVnHLmBOcJkhQLZrz0ppMNADG4QDQ/ddXCnVf+vNsSsc7AGUSr3rwgqpx4NE8d0/4jQmTgAAQABJREFUTAZX9iznqS9ua6QKEdvLDgB/j/+0SI1bttNeZH0CtBvYvYkqltfpYQTAouvXsxQ8g/QAOPbTfS0CMtX07f02zSvoQVLkdv6h9nskY/PVIWlfpL2hwG7R/a9wrZtXzHgAC/5nb7M3OOWJKRgPvmcAilGsgFdjgVz4484NrGIJoV7rjN7+5Jl/Fcw39QAzM5aV/PS+eE3DA24dez53bFDGa/MMXb5212E1YYX5vLuTnp2x8uLK0JNN0Ma3sSq/xfN5/z4naArktCQDkgHJgGRAMhBSBp4iYoWt0rF3fP63pUSYML1f7XV+/hQAy89XR/oWVAbAovhg/GpjW7CvQh1EwwPq7d9NOiUG47cHYJNAPvXsb0sM8ADm2W92qOOQo8B4+aURy4x+gunxdsc6qTLHYQQOcfliA6pW16tNCgNsOAFgvGw4mFKoJghvEATkh4+RvFAPMLiwTR2t4hfAsmd+XawgvdQDlcEGdm+qKhfLqy+22GOfT1qnniCvIB0swUa1SuVTvzxwgSpH+YrXmLx6t9H1izU/MmNFCDO4N3nltYzwBRvBJGWtaxZ3Zc6F0PWgNn133CoF9pceLxObMMv5/v5pAQOy81f/qH/Wm6y1bNTvT29pqC4OwzdPz0FGTQ+akWyZb+rtg3kZiUIDepuRnka/9QA4DClzLKLflA3GYSF57tK0nLFMZvydgTW7jhgdDCTvNzaUGcmAZEAyIBmQDGTSDODl+eNXmIqiVTsPq2+mmX8XxUN6/D3KiIcMSh9jngEMjlBKW49HL6+aCgrpywNNfzZxrdrOynHDAyeQjGjI7E0ONtS9VK2vWgkT/AHTqRcxnaA51uMtAq+Kna3UtoYeIhzgAhOqD7FBwA5Yvu2QepoAJz1sVlWBXCmsqu0Hj6u7B811VC6EF9dVmmk7wCswuUAf1QPm69/c0YQkgKZ/EdB5eHy9w9g22BdAIZhXJUiGE69x8NhpMqI3vcIi4c8zadVu45oDSLymXmSNqzfvO6bmMrP/9vVNmnBGXBd4xf1A978eMMG2iwzoy/00PYskne0/m66W0fdJD7yVAuuQFzfQt4nlNKqJfsKKVDSm7ynMOf0cm0hmjIp/euClQKjehPr+4U7vIu9A7h92W/NyljQ73DZlv+hnYPVOE8CqUtz8vY1+j+SIkgHJgGRAMiAZ8H8GurVIskgHek8/mrCGxtHH9EW+nxYAy/eXSDoYKANgf3xKwJMeTcn75/IaxfRFaU4DPPpyyjpjOxhttw7QDgZmbxEIpAfkPDCO54GKV7xK3I2Nyqi2tVPAjKMEbD1A1QKPE2NHj3dvqKvKFspl+V3dQxUCT5w2aZ6vU8VBVJtDQM7V7evZagcN0vToRMe5j0A1OwBevUVMs35TTcQdQF3/bk1Us4omMwKm82h38MyNdhOpn3eT9AayRHhzxXNMpAqShDGmBoDBZhEwQR86xwR44EtVMn/O1ONEYuI75i0ERkk4lTdD6Qsql6C6Jd1KqZEz6/nqxWtNk8jUlT6YABvu9dHLVed+/yjumVMkTzY19N7m6oIMMNePxKlDOnj/t/McXmrPU2XUWABBoZzT55PXGvcJQHnuwxBKe+nZ9uvpG9QpjSqPZ14ghm16jiX7ZkwGNlChFvxe68E9sfR1Mi0ZkAxIBiQDkgHJQEoGoJB4g1RCeKFuB8aeL480/Z/tdX79FADLr1dG+hVUBj6esNoxqHuOqvmFMqiDDPCZX5cYpumQAb4QYHCIfZ78eZE6RrJDPd5oX0floIG8HmD2fPinKXGEX9RLZwf7KVK+JWotk0WAGQDWFEzbH/hunmPQjcqInRqn+GxhcH7v4HmKSytQDS7lQZXypLLBq6+mmCbGkCD1JekUNxdHpcHria3Cq+jh/FA1EQNov8uX9GvhNf0rk+C1qFTYcR299vVaDm80MLD0iDQzCgDutwxYvIb81AKxBvX+hDONex9sQs5WBHBbiu5rP8YSqlJ27SfTVH+iSeugG/patlBO9fP9F6QCwX7rP76zz5FHwfxNB4yutSfTcVRK9HMAbOAsz5vomRULwPsQeZ59/48JKN/QsHREfO78fA0SrW9gDusSdjzrIGGXkAxIBiQDkgHJgGQg7Qzgb8dbaQypB7xBxy/boS/y9bQAWL6+PNK5QBlYR+AKrx52PQ3qUGkhlBg6Z7NDgnX3RU4ZoN4mfKg4o6pL07IOAOgIMat6Dl2oICG0A1ZVH3Wun+pR9N0/GxXM4/WoWTJfasnTV0YtoyoRprwN0iEbAEsB0xar2awKXcWiuS12lA1meIFXQOHf71RXwTdJD1S16/j5DLWJJGp6oL2Pqf/IUSIEZEXT1kQeaOIgIfzOOrAKIOnN39fT1hsgKu6tezL4uvSnY3K/MLDV7r6oQnpPJ+L7g7n0wfhVqn3f6Q5wFwcDWxPebeWL5I74sSPVYL+p6xUKJ+gBABwAu9/jfcq9/uyDRFlng0az/3jO6hJuPPfupeIYEvGTgRnr9qg/l5sG/Kh4mjdH1vg5CempZEAyIBmQDEgGYpyBJ8k/FeoDPV4ZtZzGFKbVjb7eT9MCYPnpakhfQsrAW2NXOt7EPnlltZDagK8Mr+oFRkZPFxmg3TCAM+4FBSN1+GXxeHHEUgcA9BBVNYSUDLF4ywH12mhThgiJDWR5YHJ9P2uTA6RDyfcvujZKLUGPQSI3YkdVpm/vamZUHPwfscA4qIJB3Aed6hGwYlYEQ3u39p9FssTTximhXfhdXR8FjyXjwBk4A9N8DV9UMLFvU8sE80I9/A7yUkNlTD26tiivclLbkQowSgbP2Gg0B4ZXRoIxqNDJq1sWzZtdfXZrQ99VcYPX1fWfTrd8o3QQBQkDCPvc1TXUDyQbjESlSeMiRHBmLFWXhNxXj1x0D/W/vXHAyqj69rGaButtzOLtxuEh17M9/4wVGTwDIHPA9GTjKFeTfLuCj4FLo7MyYwGh/LeyMFXUffCyypIdyYBkQDIgGZAMSAZCyADsRp5n41bYa/T5y7TlCaHJqG4a38Y1UU2VHMxPGfiHBqe8FPpd5MdUpmCukLqJP4gPnzDRZsgAvYCGM+SfAvnUSZL16fHujXUdpUlHLNyqfp1vghgNqaLgI2f/4IZn1QPfzTc8WdAmACVU88MA/KWRS/XDEKh1nvqqW2NCzVPKhsPAvi9VBtQjxYy6qQJLw46PyaCvDzOAtsGrjg3PgVdgc31Esky+LdqpQ15bGDijikWiBM532LzNxunAlyxXtvQ9GuF5dvrfc6w7eGrd3iLJOE56Z76kY3BGSY9WGTeYSyY5GHzYdPkO7iFUt7Tvx/SeUyT2hz8OAOYJK3a5NocKpR/eVF/5vXIZwOsXCADnkkf0vQYxNP0c+F69OtqsuJqPgPkel2Tc/RkoHyMWbFOoPKnHfZckBoNUP6dEnQYA3fvnxWrFdrPwwmNUTSmfsK8S9bLLeUkGJAOSAclABmYAqqWf5m5WM9btTT0KKhLeQpWZ/V5VXhhYqZdMJuIlA/hj9vUxptkc3sT2uDQ0OQhkUJy5BF+Zi6sW9UzFl+QdBRaKHncQq+CCSkX0RQoG7/Ct0SMvGZ1/TBUFYaCHAd6jPy50+FpBXtOGKrlh//vJ90oHQdDWO2Tqbpu2j168Tb1M8kI94EcFNow+wAV49T8CpfQA8PD+jfWUDl7BR+uRoQtcwavLqxezTK4TCbxCPv4kzTevaNWRfHHSE/C++pbkSnrAsL/wWdBRXx7uNI7x5WTTx+yq2iVU5WJ5wm0y4H5glN329SwHCPAQAWYtfWJ8vpOkoE//slhd+dEUV/AKvnaPtq6ifuvR0tfgFaS+741bqZ79bYkhv8MF6t22GhV+8HfVQfQT1Vm57PmBSyur/CSjjXbg9+ILVqCjBRWqqFsmNKl5tPstx0vJAF4aPUa/lb/M32KkpGrxPKpzkxQPSGOFzEgGJAOSAcmAZEAykGYG4Bf9GhUDy3o+DQrPBgrdvP2HqQyy1/npM300Az+difQl02Tge6q6tnSr+Sb2UXoTG4oPBqr+PUvG7XpYdMoAvjJLtx602En6PpCgPNW2ur6IQKf/LCAI/ld6vN6htlVREMtQOZEbfDcpX1A9QRJI7Aemy34m3wNjwJbugZ31+I+LHOyMN+hBpFegcwOvcHxUL7yBQBU7wAbDMfmgE+th9PfKdbUs4M3ePhE+ARR8xipYAgDC4DbcQJtgnuiSNbCv7r8kNHA10PEBfj7962KDCZUCzlQNtFvY63A/dh84h0rsHjfaaF6xUECprbFxBs4cJiklwDx4c/EqnfZhAejC561WqZSKnfZyv30CRH6SmCYcWEc/UbThgQjeRxl17tsPHlfvMNkjZNkA+mMRfy7fodbvPmocWthXRjp8O4MCJj3ppcrvS01jWfyx/ToxpfEySEIyIBmQDEgGJAOSgfAyUKloHtWNLE6+JuaVHWOX7FCzN+xTKATm1xAAy69XRvrlmgF4Vr07bpWxDiW0u4T4JvZdkhhB66vHs1fD0C5FmqcvxzQGlngLrDOiYJiNQTGXG0KCx1laYODY4NMUYn5xRhSO+ylVATyf0PBePy1Uq1iZcDCgepPhHgLVCu/9dp5Devg4gXidifZpR99Jax3HwbrXrq9FoNQ5OdtmMmm/fcBsxyAPbK4XCdDr1iIppKqO9vH9/jl1zR7yIDtodBOMovNwYcOMcVTBY/rac1RcNANWXdlCoUlbAx1+CAG4C1hFOgzIM0ISB/bDw9/Pd0h3UPULUtZYDiAxuP2RqM8fkbfbXqrG6BZgZoJ1he9FVp8PdsFyu/fbuY57Euf1YKtKqtcV1Xz/PQSA+zwxTzl4/1YH53PS7XpFehn68zmTWAPM1EH+SB9T2otMBuBb9uCQBQ6rAPjXfXFbQ1//YR2ZDEgrkgHJgGRAMiAZyPgMPELezL8Sy1knTkDpNOLBlr79u1MArIy/L+QIEczA22Tczj2rXr2+dkgDaVTXGzTTlHihilqnRt5yhPcJNFtDwJEeD5BksVGSiU7PWLvH4UkFlhYYTAiwEyAdpHFVagAo+vSWBpa3FMCvccvMKkuQSnzcpYHCdvBx6T5wtjp4/HTq/pjo2jxJPayZ2Q6cvsFhto3tAF7BTNyOBZv2W8yrPUdMAAA+Wn1JihhITmm3EY+fGNh+8vcao+vlCGS6pm5JY1koM2ACcZNhGO5DOhWpgLT0nT9MALc8+aU9TD8+kQ6AV/CdmbjKrNCI+3nQnU1j5j0D9uQPJFHrP3WD2kGyQbfISQUQ7qGqiPcQeBgKM9OtrYxehnsRVUhfHrnM+OMBx8V3HmzJLhowndH9SU/78Pz7a6XpPdaJwPsLq5gS6/QcI5R94euwiIHUeG6DNi/h3wyA7QwmIve8sjwguzZO2N8l/14R6ZlkQDIgGZAMJGoGYO/waOuq5Lt8zpYGL/gnrtqlLquevqJWGZUzAbAyKrPSbsQzAFbTrwtMU/QODUqrFpWCl3xB3vccecvogT+K4S3lxbwB4PU1AUJ6gIHS83JTsrWPWCAcnILUoQ/5XuUmQAjHfuj7BQrb6YHKic1JtvYHySQ+Ir8qPQrQQ6V/tyaWQTxKm941aI7avM9kjrWuUVy9TACZPSiD+fPLVAqVBwev8GB6gHy2uOyqBJm0D+jexPDR4m3F+/woqo7G5ZLwUAuXUQQQ4llinnBW3zNU6Y4z9MLNHa4/GDqc3fJmhzpWxcpw23XbD+yHnj8sVH8Qo0yPQsRoGnBHE0+mor5tpKcBEA4m4Ln/1PUOoMc+FgCfmxqXVY8R6yoW1e7sfgT7uY1YoPiD4c/lJmiN/eGZ9wkB25dWKxZsczHdbtm2g+q54eazFczS59rViEm/8J2EhFoPSBmvjgMPMb3PmWkaz51PqdgIWHN6sQjkANU3v769SUi/95kpd3KukgHJgGRAMiAZCDcDsKkYNDPZUON8MWm9AFjhJlT2kwwgAxiMvDlmhZEMDPCeJYAglIDGl5t2P9GmmirvUU79+CnypBlmek1BwvA/qryGTzvQv94/L1K7WKUrgFN1yqT47rxHLK55G/fbu1ifV9QsbknMYMoN6aAeGIx/RrJCVIJIkXItcMiL6lLbfbrUt5ga2PeXeVscg0gshxRQZ179tmALnZfpo4TtqpfIa4FXJfPnxGxCxiGLKWUCfKjYqBvah3riQ+dsdvgWgdWXHkaX3gfcX0//skStpPtED0hTL4iwiToGkfeTRJUzr3C/f9W1ked3Re9XJKcPkhfcNwQgD6B/h1jFUP04AHKfvqoaGdnn1Rf7chrfZ7BAPxy/Sh2lZwyPJPrO9yeJZpXi/j8X9H0/gfL30T3DwfBXifFZIFc2fnpRmQf7aja9fNDjvovDB6n1dmQ68hnACyr8hvLfZxwppbJuE9W4vMl4jnwvpEXJgGRAMiAZkAxkvgzAZqMHKUaeoDGvHfgbai798+NvrzCw7Kskn77OAGR1fDDyEEnmiuZ196xyOxl4PUGipweYVIHMhQE6JZNsS49e5DXF/YbADJmwwpTOXESymbsvTCnVPp6YLF9RBUM9wAZAJcBDx1OYNXwg+xyBc3aFt9dGL3dIc7A/3kjnypbyNR5DrKInaQBAWIcRANHuvLBC6jIwWF5nYCBWor+oYJjoZck/HL/aUU3vBQL4dEAyNVlBTKwmvzLIv/TIlyML+aPVS2XF6evCmf5merIlM9P3hfcbmHeRDIBXD3w33wFewYj+i9saRfVHDEyzr0kmiPv1ME17BUwmHyPqcyhMTK+2orF8CdGyn/ltsaMQhX1sVJMEq64gsd3iIVCwANVLucn/bc3LqavrhC/JTc+5A/D9H3mj6QE5b6fG5wpX6OtkOnYZALP0A3omA6CmW8kR1QjExQujmvRbLSEZkAxIBiQDkgHJQMZk4Lp6pej3eBXZ3Zyz5/hi8jrV34cvjwTAyph7QFqNYAZg1vz27yb7qkzBnOr2C8oHfRQMaF4ZtcxgCMAG5Q0aKHrJxv6hSn8DZpjSwQblCqi7L0oBpeyDL992SL0x1uxfkTzZ1Ac31bNkiQDOemmINvbLRkh331saqTwEdNxJFd42MpDshoZlVPeW5a1DDJqR7PDsgrRwYPemqQDe1DW7Sb64wDEAgC/Wg2RMjkAOAMj1ZabGWNe+fin1HgEufje6Rl/TE/BWGTwz2WiiVbWi6spaxY1lwc5g8PUwyUJP0j2qx7sETEbKuB2+am+y+wvsQ5iog5kQqbDP5W/mYZSbpDv9oyjd2XPkpCUV/HZmsqdUEOd8GRU2gLk596GLVD4i3Q6eA33+WqN+IaNMt4E6DOfh59cuHT5ske5zMO2hIAYKIujRKKkgsT4jC67q7ac1PY2+M3MZ2/VBehZmz3J+WrvK+ihlAJL638gz7WP6TnDpNbqAyqo96LcLhTXCfbkQpVORw0gGJAOSAcmAZCDuM4DfWoxxQZqwA+QM/EZDqeKniNzox09nJX1JqAxA9sdZUE+1rR6S78+YJdsdDKlbSe9bv2wB11zBKJqzmcBCAasG0j47UJ0QwBFANj2wXbG8OazlD1EVN248/8K1NS1pIRhhk6kqoR71qE9vdKhtsXcATAF40wMPmH4EXqD0KWLxlgOWfEevkIjl95KBNSoTIgBeAQTpR4wWHncROwtsLy8PML59vM7jmsKjTAcPcE1fuS4l16GeFwZgYCvxipG3t0hSbSPkswPq7t2D5yqwXPQAIwFm6pGKnWSGfveguWoJAXx6ACAbfFdT1bBcQX1xhkzjB/JLetMDOSb/PukHbFurhAL7snbpFGmuvs6P0zgv+PoMo4qJ3NfH7m9nqqL69FXVYya3s/sR6mc/YpV+yZilxYgV+zkxOWMFOuBZh6IbeuAPr0BFOvRtZTpjM4DvNqod4UXKJgJ13QLM6HdvrKtqlYqP77jbOcgyyYBkQDIgGZAMxFsG8PfoxzQ21S07xpFHs67k8cM5CYDlh6sgffDMAFgLH/9lSkHAggrFWwj+LFziBYbUk1dW9zwuWAXcLB1SPBs0snd8h7bjnh13EyBkGy+/T1RMXgXrWqJo3kbg2RQCrvD2WQ+YHn9JUq0cVEVt/e4jVEZ8vgG4YNv36A/7JmfpnMl7jqruA+aoY8xHB1UJn6EBMYzdMaCDZBBAIA8AgfdfUjFiUjfevl/mkYMXhi9Va1klSbDT4DEWavxHgBK80Tj4WKNkPgXj9kjEIvKEcbu2j1xeRbUm77RIxcodh6zj6JRhtA3mFaoNZjR4tYHu4c8nraVB7VZPgAf9ATMJjMLqJeJDSrRx71H1xeT16ud5m6mAgwlA4nwQkIGCBQoZZLzFN/Q84cxTFK34/LaGMTXQx8sK/swF4BkrQC3ermtG9Rfy5GFzt1gG7W6MKxwX16gnPd/w8iXR2cAZlWdpVzIgGZAMSAYkA+FmAEXHrqhZwlIL2G2goJMAWHY25FMyEEQG3GR/L117ruJeEE1Yg6w9R04Zm8I7KH/OrMYyewbSQRgs69GkfEF1Z8sK+iILgBpA3kR61CQA48m21axFqPLHfa/AmnmrYx1LX9yTfGMIV0mNFNP2BqoEebUcPH7aYsToCDg2fIQGYtfXL23ts5sM47t9M1vtZVUNAe69crYqIYCbV4kKyvsJ+eTb1I+bm5RLPX4iT2DgxCtY4lrdR+BdOAE22/CF24xdIev8jKrGAXxMb0CWimvLvZ/APnqUBniRiplkdI3KhpwhCA+vb6jaIKRgGRUAp/9Hb3mGU2VRRjAzDglz9l5tqsZNVUwAgqiiNmrRNs/zykn3CECVe4iqHY/AykDyK8Jzhcfr7WvHVNIJdg9k0npUpGcuih1IxCYDYCn/SKxKfCd2ENPTKwDi4reRvyTy2l6WSwYkA5IByYBkQDIQ+QzAixV2F3bMITUIxpyh+E7b+2bUpzCwMiqz0m66MwDjc26MHkj253ZASPB+psp8emBA3M7DXBg+QE/9sljfnACJ80jOkOJnZa8Aq0uv1IDlkKN91Lm+5bOygwzwev10rpID1sP36lMCOPAJWeF+qq6mR29ieDWrWNiSiwHcWk/MFD3wQHmUzKoRkMN1HzjbIcFoWblwqvcWwKtXRi1XA2ckW/vY/0EBCX+uDg0yx6AOgMILI5bap299QhrXl2RO4XjiwFS8P2OzAZAYQIBPxbOyTuNgIc6s3XVYdf16lgVi6rteTp5Pfbo0iJjUEwAL7tFTJIXUozwx0gBeReJc9HbtaQBXAHaHztnkyUwCk6c9AbXQ4lejyph+DzDyUPVuIHnm8WeW3nc8I8COvO+SSr76Q0DvY1rTg2cmq5fpucIDjM9YA+Lfz9ro8BPsTS8UhM3Dr1bGz6N66E8km+1Hz0tenVc/OmT8j7auoi6pWjThmcD6ecu0ZEAyIBmQDEgG/JiBC6moF1QYdnExkC3+Xrkz5n/j6bkSAEvPhkz7JgN4awvwRY+0ZH/6tphGG8/9ZgIXML8GSwDSOrdANSRuqA6pIfcbep4AEf5HOQZwqE6IwWyvYQvVPsaMeq5dDcvT4y1i78zfdMA4fBuShEE2gYCscNIq0xcL0jTbFB7tP0ZeTku3HjLagG8IKsXZoMyHVIXLDbyCf5LN4jIaSMAZAInwduIm6+/cUFeVD8ND6qsp68hLbKWRKZgN9yXZVIMI+EThLcc95Hl1gIGbdoXISLB14N31zu8rHSAcTqoxMa7gr5YRFfAgiYUX1AgCzrinl51QADxdmpazmHEl8/vLMNLuo/4JIHsYSQS/n7XJ4dOnb4frdgudV49LK8VUXqf3KdRpPHfwbOKyZ7QDKTJAuVgGAJM+dH/p0ZDk5lcSa1EiehmwC2WMpO/5idMmOK73AqxmyKEvrFzE8/dY316mJQOSAcmAZEAyIBnI+AxASXJRlaIK0kE7Vu04Yk/64lMALF9cBukEz8C3JOHjPhnPt6vpKfvj+2MeTBluEvv01dUtiZ7b9vjDG6W89cCA/g5W7XAcfaHHLN6ub2a9PbarIoKhMH3tXmM9AKpuLZLUNKrWxU2PyxXKZVUABKgGxtgnf3NfrGxUBa6xypUt5evah9aPX77TaL9soZxqQPcmKm+OFFkkBtSfsMEcmFeZCbyCDPN2kuFt2X/cyBWuQ6iV3sBme+ePVeRptM5oCzMwG25VrZhjeagLRizcSr5aix2MqGYkrfmqa+OISBN3HT6hHhqyQM0moIwH5IlgEEZCAqm3bQNXw+n8CANxDbzpuY2uy90XVvQ9M8lmW4FBNn7ZTsf10k/QOi9iXKFQQrF8OfRVcTUNxifYevofM/YJwBvwAQLmYh3vjFvpeGkAPzqvlxWx7m8iHR/+VmPJe2ww/W4vYC9n+Hk2r1iIfK6qKnzKteHZkXnJgGRAMiAZkAzEPgOVyaNVaTXENu8/FvtOaT0QAEtLhkz6IwOHTpxWn5Gpsx7wx7i+fil9UcDp7QePq88mmmADwKguHp5PZ4iVAumgPsAGawLghF51EKAIzMD1gPcRjNXxx/g6Ypm8TcbuepQkTyu0A8ng4z8t1FdZckJI2eDHhUpwjw5daPhiWeyeWxulli8FePbRBBPgwvEHdW9qVT1E46B5Pj98iXEcgFcfdW6griMD+cwQYN/dS0wmXiGwbpn8Cky4UAJsoed+W2JVx+P7gXnSsWH6pJgAx1CRi3v34FhgkHxNcr6cBPCkN+Zv2k9VE+fRfXbS0RRAPXjL6fe6Y6MQFwTjcYXvWDcCeACAFKYCBn6OLfTjDaN5yKI4KMr7je9z95blLfC7QK5sfHVczcOM/t7B8xzfJZxEL6pyikIIsQ7c2z/M3mR0A4CsXezCWCEzEcsAfg+HkGxzIHlBckYyPwjk7QCu4rFgAT8XmZcMSAYkA5IByUAiZ6BMQVMFkdbfvdHOhQBY0c64HC/NDPQl4IlLqOyKemnufHaDV0YuV8cJxLADikEYt58HJMcl+k3doJaRcbYeD9HAjPsAvTFmueMP9ZeurWmxKwCCPU7SPi6beL9TPQuguocGgfyP/KdJdli7dH6FfR/+YYHDkB3+LfYf/Kt3Hrba1/uYYvzeMLWfi7ccoMqFCwwgDtu/3r5OpgGvLAknsUVmbTBZRpCBwtvJlljqefSahik05JqobMbjWWLz3Xtx+pgnkPM9TzLXHwkU4WF7XqEiSHoCANn3NLhHJU5eDQ9+bC/S/QtvuUixISCr+2ziWouNwf217POAZ1jnpmUtE/NSBcwfSXsbP3yCefQHlQ+GmSU8rtKKqsXzqNsIkLuBQM30Xre0jhWN9WCEPvT9AocfGx6jADxt1mk0+uJ1DHyHnvlliQH85yLA9wW6ryUyJgNgRw8gH0CAhrZHhtuR8AKmLXk3AsxtlBR/lTbdzkmWSQYkA5IByYBkINEzUJbUQXpsIf9ajCciNVbQ2w5nOn0jo3COKPtIBgJkAHKjr6etN7bAm/RQ/IXAQOJSl85NylpAkdHw2ZkNZJaOamh6VCMvq/uZp8vk1buJfbFF30xdWq2oZTaNhaiyxMu3307Mlpbk8YG31BNWmLI/mNbiD3sEfGVmM8CldY1i1gAf68FKA6OIDxaeJYkM2kdgUHHnwDkGcIflAOJuIYAiMwTYUs8TQ44DTqicMfjOpqpICCwfADEAFaet3WOkDoP3t8lD66bGZY3loc6AcfcItc+BNrSD++bFCDCicN+8SPngFRNxjFLEDPyiayNVt0wBzKY7kC8YNkNGdISAH7cAsABJLszZC+X2JzMJoNXfK3dZkihUEuWAND8vgIBX1SlhAVdgefrlx533M5T546f+VR/+uYqexRscYDjYZShGAX8EPwQKAnCmJUzBS/sYGPVD3kLtA/5w/Wf9Pvp+J1sSdi8fO7RbguSy+M0BSF0sb/xKZ0PNkWwvGZAMSAYkA5KBRMgA/tbTA1XR6c8A+htXXxq7aQGwYpd7ObJLBt4h+Z3OEsEb3CeJhRRs4G3866NXGJtjoNybjNi9AqwqMG3swJfz7RvqGOXtIUnj0kFUsnuzQx1rwArgjXtOoXz701fVsIClN8eYfSpMfQIzC4PdhZsPWIwV+/j4xODLXo/5l0csc5hEg+Vx51kADOf94JD5as+RU9g8NTo2LK16tUmpXJi6MEEnvNhSuE6oEMjfJgRKA/zQ7vt2nsOHDZK3T6gSYHqNoQGyPkF+V9zoH/cevN5wXdMLhMAQHpJU7iWH876gUmHrPCIh2wNY9TUxGAFeBQKuwNa5x6fAFfoN0Op3YtoFA1ohh9WpOiKA8fYNSqt4lwnifOwAkN7750WO5w3WA9j/qlsjlVQ4t715TD8X0bPzf1SsQg8UvLizZQV9kUynIwP47QMDcfCMjQ6gkDcLvz4A1K3J81EqP/LsyLxkQDIgGZAMSAbiIwMogqVHMSICeKmY9O2iNS0AVrQyLcdJMwNzacA9jkyR9biTzI8rFSUjuSAD5uXriVGlB+SHXlXVYKrOy97jD3DO+IJHETeEB/sJ8ie8mX6BqhLqcimwdFA1MEfW8yz/JM6ceq9TXcusGoODXuSLRcSh1ABo9wkxHOxBMQzjf12wNXU9JuqRl9MbHc5VU0T1RABheqC609sdU7y59OWJOI089iAADyCEHlnP/z+rMiNkmsHGcMo1/NB45UKwh1Chz2a8Bduevh1AtncJpO1PzBYeuFc+urmBJbnh60KZB5jZhxh9kPHp95XdBqpd9ibj7SzEHEpPIOff/bPR8u/iQJzdLvLftXl58knyn8cVGGN/EityHEkEp9JzQP/+2v3nn/lyZFHXkI/czcS+g59aekFG3n4s5w8TW+/9cavUIGLQuQWYsHim+UUaif6CIXlGu8kBAL/VsU667223889sy8DCA3MYRUd2H3b65tn5wG/d1XVKWlV0I8XmtNuWT8mAZEAyIBmQDEgGop8B/vK7NPPEin6PzCMKgGXmQ+ZilAGAQG+ONVlKBcmc/KHLKgfdIxjKfsSkgAB6wFRyC/hOvTZ6ubGqSJ5s6nEyJtYjmQAxXn0OUiGwLxAoF86rDqLqGEAwgCGTVu3Wm7P2u6x6cWsZpIvrdpuAW08qLd6Q9kVAZvYcM2TPS4Poz8j43a4WB58a3r+kwrmsbcAYSvSA5OsekldyjyJIu/p0qa8urJIisUwrD5DEgAEISRIPvHn4kuR2HNjk2wWahxk2BtyLtxx0bAbGHa5p/bLpk/PhGD2JdcXBTBwQ9w0AzVArMPLOwmNs1OJtBMStcmV3YXsMaq8loKfXFdVUOboX/RIwYv+TKniieiAqMQaSQdl9BqB8Ed1DNzQqo1rXKJ76vbPXx/snrufPxLDB9dxzxAlU4Hv0OLE47yX2nF/evuH34jnyjuMvFR68tHK6v0Pxfj3T2/9jp86oIf9ssoArt/vBbh+Afif6TtxFlUP99B23+yefkgHJgGRAMiAZkAyElwEHgEXjFD+FAFh+uhqZuC8wSp7Pym8/QkBOvhymBjdQivoS4wSV/vR4/pqanoMuGGdz75Qn2lSjgf65Y2Kg9BKZX+sSQxinv9a+ttUuQDMOgqHq4KOtq6q9NBh8ZZRWg5Q6BiAEpd0RqJzVj4EldYgpZJekx7Gf/Hmxw9D+1etrqTIFU0ABvBl/7MdFVnv2f2C9fNolpbKhvSxRP8GiAXg1d+N+4xRDZUshj6gQCSYOD4CVqBRZjHxdwglcx1+oeh1M1N0kdlfWKq7eIU8tm3EX7jF+nLPZuhc52w/toRDA/26uny5fIJwH8vPB+FUOrze7z2DAXE/AFb67vACCvU00PwFQLaLCBhOJmQd2Hi/U4NUXfMchs2xHzBLIRb0YnF77x8vyGev2qHd+X+l5PRtQFUxUWK1cLK+vTmkYeRHixYEejeh7Cu8rifAycPLMvwp5/eTvNa6VSu1WUQwDVUsB6Iby+2zvL5+SAcmAZEAyIBmQDPg3A/h7fzIjXwgDy7/XS3oWowxgkPkeDYr1AIPo1mZJ+qKA09DqDpiRbGwTqIw6zK0hl9ED3imdmDE3/HBg3q4HJIbYFgH/Fe47hWqHkNkAvOKAGoAvGOPhnJ/9dYkh8QLTAb5XtrTrVwI9prBjY0Ddvn7p1O68TMfgb8mfaltd1SHmWaLHiu2HLPCKl3bNS7kfeGeToKtejV+2Qz1N18JNBte1eZJ6gUDQcJlsYESBKcKN4HFt0OYL7WpY5t/pkaLBf+0Z6r+bGTzYQ48RoxAFCQDKhBvwRXpv3Eo1J9kECvX2riDfG/itVS+R8t3Q10VzGqAyWIkArPADvJdAzmACwO8FlYqoq6hqWhsCrfxqMh/MuQTaxgYi+05aa5lyu20LOeuT5BuIZ1167hu3ttO7bNb6vVahBr0dSDs/7lw/9dmpr5PpwBnAy5lh8zarz/5eq7Yxzwt9T0jSIT/Gp1+YeHr/ZFoyIBmQDEgGJAOSgfRnAAVbOMEDv/1+CmFg+elqZNK+jCMAYT2T0cF0PRTQ4NOJawyWFAbuT5P3lVegYiAHl164poYxWAPIBFmNHmBQ2W/51xFwAA8gPVA5sA0N5JdvO0SDgi36KvIJKZFq/j10zia1csdhY31PYg9UI2NoBPxd3iY5mx449usEgNlgx3Sqjgd/LD1aUVVEyBcTPQA6PfrjQnWMfFr0gOz027uaeVac1LeFVOY1MvxHKXgeADNeu742VdEKr3oj5Kmo4AaJqFsVu4pFc1sm6rVKhQ80YuD51ZR1qg8NPHWGoH0uYEpgUJ8eX5pVdI/Cs+sv5i1mHwOfzSsWUr0JNLVlr/q6aEwDkFmz64gFWAG0mkdsPHx3gwkANagG2pZAK8h6edWVYNqIl22QEzxrAVwt3XrIs9uXVy9GFTBr+saoXe/oWrrO91JxBe5XBgajzUrVt5dp7wzgezOe5LRgEPOXAPpe+H6AUQmGm4RkQDIgGZAMSAYkA4mdgUGMEIKiZC3pBa+fQgAsP12NTNgX+K/AbFoPsJsA9gQbAJJ+mL3Z2Bzlu8vTF84tth04rr5hJtqQcYF9occvBEBxkAnsJlti+NbYlYaBMAC3l66tZTUBPy8aH6QGJG0vn10H9hdM1/VARbP76O22HZ8SKMGNc1Hx0JYywagb0kY9MPh+72xlQ315Ik1j0AVD/fcYew7nCIAP4JUNAgY67yXkQ9Vz6AKH4T/2KZInOxm/N1SNyxcK1ITnOlRGAyNqOTHE3AKVIQGOpccMG/LTZ35Z4nhDYh/vpsZlrHsx3GPgO/IhsQtRfUy/j+328YkfNBQyuJxAWxtU1ddn5DQM5Geu25sKWnGtfqBjFyCQ83ICq9rQd/7iKkVVTvpuJnJAZguGzRAqcLFx7zHPUwWo+iKxDS+tVsxzm1iuwPPwjgGzFRh2enSnip1XETNVIvgMbCBfR0iaObtYbwG+b/CDTI/vn96eTEsGJAOSAcmAZEAy4O8MQDkyfvkOo5NdWyT5jnktAJZxiWQm2hkYu3S7w5emx6WVQhoQv0csKZ1xkZ2ApAdbVfY8FQzM9QpzkMgAmNIDxuDvM1kjQKb2DVLke/COmUAVzPQA86lsoVwKskMuGXuAJFy2hxLAKS5Xw8DRlg7CNP6b6WaVOjCrUJrcDjC/wEbQ40mqLAfwJVEDoEVv8gTj3jc434bk1fPFbY1Sc+yVA9wnMGmHj5NevczeHkAmgMLCYeQRrDncW3hzQYdxBLzRAFzp19GxURoLbOnrt3T93YAlmMG/TtUpW4UJQuAckB/8078jerdwjEcur6w6UnGErOmsZKi3m9b09oPHyctqt/qLvnfT6fvnxmzzaqNysTzEsCpm5aVJ+YKp3zWv7eN9OV4MzCOQ8wcCrUYv2e7K0LPPsXi+7BbD5iaST0fzetrHD+YTbMm7Bs1xMIVgqv98u5rBNCHbUAZQWRAvjPD95iw2O0FNCbgHy7gFecBFG5i2+yCfkgHJgGRAMiAZkAxENwN2RXd9DJObXvLeSJ6XfgsBsPx2RTJRfyCz4j5UYAGgJHewASbKHySL0eNOApJK5nevlrByxyGLVaJvfwvJxLjhdP+pG9QuVjocbBOAXWABvTHGrJhYOHc2BeANA8e3WDXFEmT+fTdV8EJsIgbEAAZOwTvoAk1b/DaZKp/+9xwCAjnbi2fZW2gDIMZHE9ZgMjVql86nuoQpd0ttxMcT8LsCY2r1ThO0Q5dRZfLNjrVV9iyBmTRoA15XYEjxsBhy5F2GqlqhDtpwHw8lA3X4obn5LcHY/PYW5dUTBDDmIX+ucALAG0zaAby5HQP2Vne2rGBVi8uVLfRjYGA7aGayVc3yACuEYPcX9/jDVBW0S7Nyaeba3ic9nzhnVFMEYAVpIGdDBmobbMgWFQtboBWAKwDLiR54LsGkHhUiRy/a7lkh0s5DefIZhDdaB2IEpvXdsfeJxSfAq/tINsird6LCLKqM+s2jKxY5CuaY+B6BteslF0SxClSbxPcm1GdgMMeXbSQDkgHJgGRAMiAZ8GcG8Dfk88OXOkglNzUpm6o88lPPQx/p+Kn3CdyXTZs2qT59+qgxY8YoTGfPnl1VrlxZ3XTTTapHjx4qV674H5CNJv+mZCZp6U2D/FAGJKg8qAc8kOwqfvpye/oLkp/pzBUgy/D30AOV4jgDCj4gF9M/xCQyhubVzPCHP6SFvxPbgYMsAC5smdJXU9c5wKnnzlYlRNuQdnBArjsBE/AzsmPEwm0OGQ2ki6HkzW7L758ABGHOj0ppnDEA0OaZq2oQOFgh4IALbxT6/LXGYh24sa7qlS2gPqYKfV6SU68c4WGPewFyUXgwuUW14nnVWzfUSZc/FNh+r45a7gng1CqVT73dsW5Yxv2QogJ8Q364ZNU+H3xHAMDeQxLXcAE4u620PsF8ROGCCSt2UW53uYJ1Xm2UIoZbKwKrAFhBDmx/57y2T4TlKSDffitfbl6CbudYkyTaeEbiRYHfnxmQC941cI6jymjZQjlV/9ubqHDAWrecJPIyyGtfIeAKflduAek1qvVeW7dkwOeo276yTDIgGZAMSAYkA5KB+M8AbCZ+Zt7NlYhU0qtNNV+enABYPrwsAK1uvfVWdfDgwdTeHTt2TM2ZM8f6179/fzV27FhVseI5z6TUDeNkAoN/GKnrgTfqKFkfbKzdddgauOnbQzroVdobf8iPYqbnGJgXpT/g9RhKpt7cZ+WZq89JDD+fbPYbrLGbSX6Dc4I/kx6QHXY8Kzvce+SkVaZcX9+1eXkDOBnI2FmorvUQsV70GDbX9PuCjKYJyT4SLXYdOqF6DVtEFeX2OE4NlQb73NIgTakcfJKe+XWxAyhFgwDAcL8AwAxVOgU2F1h4XCpqdxQMoJ7ULqp2hdq23QaqC75FwN2fHgNPGJA/1rqqZdpvy0/tfdP6BDAIpg4kj16+SAA3upCXXM/Lqzq+I2m1H8p6fC/+IsAKAMxUKkzgZkjv1h6uH4ylbdAKYGFmYI7A02oG3dcA+MBMc2Pk8Xyhwil8BW9rnmTlLB7yhPui2zezHS8L4PU34I6mGXpP8vzF4zy+4wMJ/IcUnhe7wPmg0An8w3rSMySjgel4zJ/0WTIgGZAMSAYkA5khA/DDfIWq2uuBl9dfdm3k278PBMDSr5YPphctWmSxrABY5cmTRz3zzDOqVatW6vjx42ro0KGqX79+atWqVapdu3YWmIVt4jHgE8VLdAJMCGVgBR8PPTCwCSSjg3E7GAt25Mx6vlUm3p7H58kz/6p+U812IfGrXiKftRkki7M37NN3sWQ4ABCmrtmtlmw9Bzpiox50TnbJ8UEzNxq+QpAGAuCwA9JAjn5DrqUDcgBOuJTm1ubhVcqzj+vHz4k0MAd4xb3C0FcwSPp0aaDga+QV8HIC+PM9vVFwCxiQv02Vy5pWCA3420mgGmR8qDBJeKVroBLlc+TLo7PmXDf0WAiA4mNiRMHnzI0xht0AWqJqZlLhc8w8j+aMxQBZpxAgCEabl8k8dkAlTXiqVSFQKCMCbC8wDccSoDxrw15XzzC34+I7DnNpnP+l5AtXIFc2t80SahnknaisCN+vaXTtlm476Hnv8RPH27MbG5VVMPUPx9eNtxet+R0HT6jbvp7l8PkDw3bQnU0Dfvej1Uc/H2fXYQL/f3IH/9FvPPdQ0bZqBn2//Zwb6ZtkQDIgGZAMSAYkAykZGDwzmcCr5cb4GGtQFKxysYwZA6QcOX3/C4CVvvxFfO9HH31UAbzKkiWLGj9+vGrRokXqMS677DJVpUoV1bt3b7Vy5Ur14YcfqhdffDF1fTxNcPYVwAgMSoMNAAm/LdhqbN6V2AVeVdcOHDulwKzSA4M6u6qfvXzEgm1q56GT9qz1qUsSIUHUAwbI7eunGLv3nWiuSyKPmatrpzDKMAj9dmayvqu6rl5pVYJkT3b8RFKuo7SdHWDAdCPvJD2Gzd2izyocH5XUEiXAfHv3j5VWxTS3c0KlRsg1vTx7ANDA5B0VInfQPcIDoCEM9QEs5iAAM9gAG+QrAjYHz9iojpMk0S0g5YOhNMyPwwmAbgOmJ1sA6uETZ1ybAMvoBZL7XEggTqjxz/q9lk/XLAbA6u1AJvsE5bdumQL64ohMg1E3hiS2vy/doeYk7wsahKlaPA9VOixuSQMbkNwzVLZZRDofxUYAYFpAOeVoDl0rgOK6J15aXSlTMKe6tl4pkoSVUjVKxh8rDSD9PYPnOryawJQdcnczAV0C3AB4/uE79tKIZa7MvELkYwfJOiqhhvKyKMAhZZVkQDIgGZAMSAYkA3GWAfj3vjZ6OfnfbnT0HGOtUPyoHQ1EYYEAWFFIcrCHgERw0qRJ1uZ33XWXAV7ZbfTq1UsNGDBArVixQn300UcWQytr1qz26rj4XLzlAA1g9xt9hZmwzVQyVnjMDCF2ij6og2Tr9gvKe2ytLDaLDg5BfmQbq9s74Y9/7n3VjN5UNyxX0NoEBuzcRwSVB3FsmMPPJIBAD5yTPdjGoGI/M8fW2VfY7ycmDURFPFR802PMkm36rGVg7ncfG6PDHjM28PTa6BVqD4FFPADUfXhTfdVSM7vn2yzZcpBMipfS4N9p0o5tUakQrKtQWAdggH05ZV1A4Aom/WArdSCpaCj3sN1/AFcDCbjqTwxBLl21t8HAEyXtO5OZon1P2evS+gRYBIN5yM68ogHlpveV1cMG37zaBfAHwGo0yRUBnNFXLM2AtKlZxUIWoH159eKqHAHBiRr4AwJMVJjVz994QC0ghud68sELNQDy4QUAKlwC5ItXcGLEwq3qqV8WOypM4jkI8CpUn7pQ8xjP2+O79gwVqeC/UfY5gZ38VNtqmYK1aJ+zfEoGJAOSAcmAZEAyYGYAip+Hvl9gec6aa5T1AhRjGr+HAFg+ukLDhw9P7U337t1Tp/WJ8847T3Xr1s0Crvbv328BXldccYW+ie+nYRqtR0liIV1HjIFgA4O+nxgTCZXouJeV3R62hzmdHtcQO4FXJlu69ZDDKPt+Mju2gwNM8KeyJYu/zTfZYOgL3nLbMYYG8HrAFL4a+WPZsY38ubj5O2dfgUXG2WHX1Q8+b/ax/PYJYPD5EUtdH6ToKySc7xLwxNly9nlg4AafF9xXbgAJKgyiOEBXYrMFC/aBBQPG1SDykHHzj8Gx0S5AynvIRy0cw3AAV2i/H1W89AKuAI6iumCPVpUMKal97oE+520EcLXG06cL+1Yh5iN+qJDjSIEeYBuOX75DDSeGJOSKumzXq7+Q80IS2IZA28uqFVf5SSqWaAGQFn5jiwjAhwwY1TAhBzxx+r+QTxX+Z80qFFZ4jgC4ineQD89oSH6/JhCXBzwGAV55VZbl22fG+enkHffYjwsdlXORi2DA/8yYMzlnyYBkQDIgGZAMZLYM4G9PWLSsdSk+BU/gR+lfOC/jo51HAbCinfEAx5s6daq1Nnfu3KpRo0aeW15yySWp66ZNm6biCcBCSfRRVEVPj85NylksJn1ZoGkwOrg8DPJBr5hA5cO3k6eKHqhcx+P72RuNRZDiXHJWnocBFven6kigGSoPYoCOyoB6AFCzZW4AJ7jZtw5uYT9UXtOjAA3guTE7KhTqATCmUlFvHyh9Wz9OowIe/MY+nrDG8Aaz+wpQA+b5uLZu4AquybfExIMRuZfkDn5Jb3ao4wAr7WPwT4CE/QlQGkBm+jpjT98Oee/UqIzFiCpG7KtQ4yAx8cD0wzEOeUgF0SZAXYBLHGhN63iQn4Fx5WZ+b+8L0PgxYnThPg0W1LP3dfuEYTQkij/P36LG0ffTK3f6vgAAIQ1sR9XwAF6FIunU2/HjNMCqTfuOWfI/SACX0j+AVl73aVrngGtUu3R+dWHlwvSvqGqYVCD1+ZLWvn5fD2npI0MX0P1jegui3/WJTdb/9saqSB6z0Ibfzyla/cMzFN91FBahW84RYPG+RRVKweCUkAxIBiQDkgHJgGQgc2YArKsPxq1Sg2ncxP9ewMtyEAXany06Fg8ZEgDLR1cJskBE5cqVLQ8sr65Vr36uIp69j9e2fls+nDymDp885+/zf/+nVCfyogol+Ft6yJ9qkv+QVwwi3yI9MCjiHj/4YqNvenQi82MbhZ5CBu0cNLuZ5FyIWTRw5+sgJ7MDVeS43BEDdz042ACpHAcWOIBVrlCusCvc6ceOxfQMMqR+lUwDV+447Hr4y6sXU69cX0uVKeguH5tBjINXSbvttT/8x+BHBUN1N/CLHxQsLrCh4EGl35/6doQhWA/3Ry6rEpaUCb5taB/m7Ee074B+DEy3pUqcPVtXIf8i73ua74N5GH1/+vcaNXGVCYbq20Lu+CCxuW6ie9cGWPX1oU5v3HtU/Ursw18IuNqy/3iau6PaGQzioa2Hj1cigFYAq3DuAKoAUi3ZekBBzhoInEwrUWBY1SMfMpht418DkjEnYqW4CfRs7E2SQbdiDWC3vnxdzYjcp2nlOx7XbyaAFMDfAhfJdGECrF69vrZVeTKY5188nr/0WTIgGZAMSAYkA5KBwBnA36hjl+ywqgzuogJKPIrkyUbVBhtbFar5Oj/PC4Dlk6tz4sQJtWfPHqs3ZcoEBnQKFiyowNI6evSo2rzZlOMFOp0tW7YEWq22b98ecH16V+JL1H+aWeEPEphSzOcp0HHgEQO/GD3gQ+UVoEhyb6puLZxsrREkd9LNuQEe2QAV2ubm6XXL5E8FGIaTb4seAB50eeAfS8284pz1wSgYXJyhZTO/9HaTGQMr3Cp3epvRnsbA/t1xKz3ZQZC7vHxtLdWWzO/dBl5gsrxDJu8c8LPPA6yehy6rrHBPBAPQYBCIapaQh5484y7lsoArMup/mGi14eQc5/w13fejqeKeV1VB9B/AFei7gcBY+zztT3ynINPrO3Gt5TFlL+efxUjS2oPksJ0JFEgvaAQWJX4MUXRgNvlrpRUAYyBzg2w33plWyDfYnDZQlfJ5UB0gVl16AoArgHX47eFfdTJfz0qVTRM1wHRE1RteiAPnm43O+1UCr3GvSrhnAF5hz/221BUIx+/LBzfVE9aae+pkqWRAMiAZSMgMxHqMl5BJjfOTwhjnBbJomeTxYrs6Wdn069Y4ZKWHH9IiAJYfrgL14fDhc0yUPHnSloXZANaRI0eCPoOyZVMYQ0HvEOENYeK8frcpgwsEPrkdHmwPPWDui4G/V8A8Wg+8mXarrACTdT2uoAG3XSHw5Jl/1WQm8bupcUouLQBhdQrwaO/focE5Xyqs54b1V9cx+4uS59wDqaVLlTnO6PCquGj3w0+f63cfUR+Q1GUMgThuASbe7eRR1Ysq4EGWyQNMn/fHr1ajqMKgV7QnP7Cnr6qRet28tsNyVDr7gmQ3AJW8PJoAXEHGB+AqVKkm2oR0FWzB2QGq/qEvuH8fvryyqlUqP2aDCsgnx5JU70s6h2XbDnnuAy82VF28pVn6gCvcx4sIiPuRQCtcg0AMMnQGuQOLEDNPW0wAAEAASURBVEzENnR+OmDr2VkfrsB3EwCkDVTh063IQChdx9uuOiQHrEeAlfWPmFaZReKF+2gUfefAvnTLI6Stn9/WyALzQslpZtkWvnkvUoVBN+APFVafalvd8syzmcOZJS9ynpIByYBkILNnINZjvMyefz+dP1RFA6Ylk73AWlef1ewkGcQLc3j4Qj4YjyEAlk+uGhhYdmTLlrZfRfbs2a3Njx9PW7ZjtxvrTwx+9ahMBtIXBqgqp2+Lafh9cEAKLKlAVdl+J6aIHigvzxkoMOzmIEMHzYB9HlVM1I28AbZcRQwhBKRDXD54Gcnf7NhGbA0OTjVOKmSvtj45ewPtl3TxVoKZsR7LyQDa77Fl/zHL4woSM8J0XKMmMdbe7FjHddC6m+iun5As7nsy4fdiL+ENwmvtazs8w9wOhop8YCsFktkh/2AL9SRQqXKxc0b7bu3xZWCW4D6HN1cgSR0AHhwDbLFQqiKeOP2vGjZvi+pHrDF4LHkFQBIYzN/aLCksg3m7Xdy7YHsg/15yTXtbfOJa3Ej+YCguUCxv6P5gelvRnsa1A0CFKqkpnwcd3+1Q+wRgCt5VdUrns2TLYG5CxunGLgy17XjbfhXJhVEl1M3rCucCaek7AYo1xNv5Rrq/YB9DMrh5n/M3vzwx+Pp0aeCQxke6D9KeZEAyIBmQDEgGJAP+zAD+Zoe/7jf08pyTHuweg6X9GlkMxHvxHwGw7Csa488cOc4N9k6dOpVmb06eTNGx5syZM81t7Q3SkhtCQti0aVN784h+wrh6LGM5dSbwKZSBHIzO9zOpTnuSdnkFWD8oUa+HG/vqr5W7DHAFkqeLz5q3Y9/J5H+lB9gThc+aCoNVpgcGrDpbZwVjx+SlyoUwh9eDA1j5c2ZN9d7St+O+XetJUog38m6MJX2/WEzD7wlA0fezNxn+X3pfIGuD19PNxGbjIORR8oiCwTvkfTp4GOz++nZgfYA+23fSWgcbTt8uC6FK19P9dN8lFUMCldAGGF2DZyZbzIhAVeXw1uMGAnjuJoljxRAM+OER9O3MjdYx9tK0VwAcuefiilQdsyxVSQzv8Y58Qab73T+b1Jgl21zf3ujHL0gFB5A3FCbAdyOU77TeTjSncX+leFYdsJhlYFkFAgSD6RsKL+D8AVLhsw4xq0oRoyge8hHM+YW7Dd4EfkTVMAfNTHZlO+KZ+MI1Na3CCJk9V245xvdxMH33Xx+z3PVZikIM8AuMV5aj2znLMsmAZEAyIBkILQOxHOOF1lPZOtIZwAtYgFaBfHyhyHjp2ppW4aRE+FsrvBFOpDMv7am8ec8xPYKRBcL/ChGM3NBOb1reWvZ2GfE5YtFWw2MIcgfd6DyYY3LZREMybw+EIKNaoR748jZKKqgvsqbHLzO3A3iVk7yU7JjCJII6uAUDdz2alC9oDFhX7jDlXTVK5DPWY9+Dx01AAgCWW9SwfHH+L3UQQ+MaS950QQgsNrd2I7UMA60FBHwMJKNygJVejKl8NGB94NLK6o4Lyht5Rj8AyGGw1p/AKw5W2v3EgPcB8nPqfkEFx/72NvgEWwmSU/hPrWPSVX07+GbBMBpy1lD82OAFNXrRdguk475sevuYxr13O3mv3UKMqFDkYgDGkM/fiAV1ysOjC+3Dm+s+Aq7AHAzG+wv78EDuh1M1TbCtcNxAAQbZxfQWB+AjChL4mYIMOSe88BZuTvHPg+n1agK2vRiBgc7bXod7MAWoKpAKWgGYToQ/CuxzTO8nvn8oWPAZAdle32WwVVEl1JZrp/eYibY/gOtnfl2sxi3b6Ti1vFQQ4fUOtS3w2LFSFkgGJAOSAclApspALMd4mSrRPjpZ/I2A8RKKUHlV/4aqpFvzJNWLqprnc7Fo8dHphNQVAbBCSlfGbQwGVpEiRSwj97SM+Pbv328ZuKM38aJ5HkkDYz2uILmIzWLSl3tNw4fqb2JK6ZEWAMa3R0lxXtkPg9vpVNFOD3j22AHmGB/MY+BuBwAbPZpXLKzPWgNnfQHMmXlwmmduD+YMgAmYwy/deg5ceJdKog6jKmWxNHw+fupfC7ACAwk+SV6RM+v56o6W5dX9F1dS+YmtogfeHuDNAaivPB/2dgBJuhPoBfCqQC5vmS1kh9/OpGp/BMS4VTez2wNzqHvLCgqm/oHas7fHJ0A6yMt+JNP3UXRPe1UstPcBEwdA3TX1SgYNLEEqO45A1cEzNqZpkg4QBR5XuGf5vW33Ia1PGOMPmbWRpILbPNludhsAaQBa3UiVQ0vmN5mE9jax/oRv1UICqQAqAqwC0yotz65AfQbACRlgXfwj3ypcU0i2BKxyzxr82QAc/2/Casvw3m0reBeCdYVnsuTRLUPE/CXG8RPDFik8z3jgRcxHN9ePS+NVfi4yLxmQDEgGJAOSAclA8BnYeuA4jRGSLbsSL5UKWoPdzcNUOT2U4lDB9yK2WwqAFdv8G0evUaOGmjp1qlq7dq06c+aMypLF/fKsXLkydT/s4/fYe+Skmkf+HXpA9hBKzN94wBhcA1G+qk5Jzybw9h9eNnqgEhqPNbsOO1Dri6sWSd0M6/WAzAzVwhAAM7aSB5Ye3IibV7ZzY9/AWF4PSJkArLkBEpdVL24AWBikf0jm6DDvjXYsIw8u+D2BGXf4xBnPw6OqGEzEe7Sq5PBFwuAMRucAnAK9PbiR7pfHrqgakCEFjx2wrYYv2KZO0SDaK2AUDePCziHI7OCThmqTON+0vKBwj+DeBHAFlmCwA/TtB49b7YMB5VbqVj+fi8jkH8BVi0qFg25f3x+g4ygqcDCEGDKBQEfsg/NpQ0BD5yblLM86PxlE43uO+xBAFcBkAFf4YQ83IPHED70FVpEEEAAhpJ5u38Vwj5Go++Elw3B6Fnw5eb2CvNktAELfT0xBMDB1lqvbtpl1GfL47h+rrOeiWw4A4PeiZyGXXbttK8skA5IByYBkQDIgGYj/DGDMOX3tXstKBEWivFQEGB+3ozEIPHark+onUcMdIUnUs/X5eV144YUWgAV54Lx581SzZs1cezx58uTU5S1btkyd9usEmFD0vUsNMBpQoSyUmLbW9KGqTRXbipz1oXJrBwPa0/+eOygkT43Lm+bp2G/xZpMxBGaAbj69hqRHekCqZculDh0/o47TAFoPgCN6/KefOK04D08WFmB06AG2CPy7qhR3srXupcHfSAJSkveeM/D+fNI6VY8G2m1rewN6evvpmd5BpvSo2IiBKpgtgQJgQEcCnvAQRV712EYgA/ytfiCPLA7y6dsBdHySaK9gnrkFHuhT1uyxKLRT6TNQVKGiAfCHgm+afQ0DbQ8QcRqx834ittWfJOEJBIqhHXh6wdft1uZJqriLCb/bsXAMeLsNIdDq75XeP0jYF7Lba8n4HedQg4zvw4m1BMjC2wqm+oFAR7QNthWklai4CQlkrAPXGsb48wkMn79xvwVYgR2pf89D6SNAqWr0HUMlQABV+AdD/ViyGUPpv1+2hfQU32MA0TsPOdlCdj9h0v5cuxoqqbBZjMJeL5+KpM5H1CM/LHCtLIqXH++SyX1ryqOEZEAyIBmQDEgGJAOJnwEYs/9CxZtgyeD1chBZwDgXhcoealXZdfyYaJkSAMtHV7R9+/bqrbfesno0YMAAVwDrv//+U4MHD7a2KVCggGrVqpWPzsC9K0CK9YCHFK8EqK93m+bgBBgogWIm86aCBMjN5HYhY2nZ7Cq77TU7TQBLrxi3/ZCT6cGBC46Q4wHDoxiBHTB7RsVCO8AmcQOwcA6fdGmoOn4+3Ri4PzBkvlU+HQbkOgBntxfu5390AivIx2sagUN/Lt9pMekYJudoGmBV1xZJltSsIGOXQa4GqeBI8kQLBDxcXacEPYS9aa9gEIERBX8obtTPOwTJ5z0XVbDYQ8GwodaQP9IvJIFC9b3t2jXh7WIeeGSrasUs4Ap+PsGyIjYTyw7VBPGjlBZjCOARgKTbmpcL69qC0fEH+cGB2cWLDvBzAqhzOZ0HGHP4nsaSbQUp5XIqgoDKkXOpEihYnG5yKn4OXvO4L/H9tv4RMw4guLCAvLKV9vKNe49afnUAeAOBoc0rFlK9iSHasJzTfzDto2SOLQDODiV252ujlxtMY/vsW1Urqt65sW5Y3///z955wMtRlu37DaT33ntCEkIoIZCEEhK6dKUoKM2GoCggiAJ+Kt9fxU8F9FM+ioACivTee5ceUoBUkpDeO6mQ/3O9J7OZnTO7O7tnzzl7zt5vfpPZnZ2dcr0zc3bueZ77CZahsQiIgAiIgAiIQN0gwO9fKpoTMBANlgjvAfeVXx7ew/3AhKtwEbHwPPXxtQSsEupVKgCOGTPGR2Hdcsst7qyzznL77bdf2hZeffXV7uOPP/bTLrjgAteoUbqXUNrMJfAG4+mo+JTvE2T8kaLRPmNCVQLjdjPqaxX1pgq+E00zJAoj3KIphAMtiidoUXGDiLBoZA83JuGWSUAhCmTB6h1m8ohFRL7Etd1tG3921K7+Zif4nNX4VDy72BHRdcGhu7i9zSclTrQLvhM3hjWpeBNM2HvrkxVePMjkSRX+PkLOgRZV9w0zKT9s13QhByGC/fnHG7Pd25GqjeFlBE8PuAiHhcLwPPNWfuYv6He9PdfM77eEP0p7Tdril4d3N2P2/hmjt8JfWGZpro9OWOC9e6LHWni+4DViCP2DF1Q0uiyYJzrG9B0hiRv+N41trraP9d+Zlob4JfO3ih5Xub7L50Rz3GWRMfeZSJbJRDtYDtULEcm+ZhFktWWojSg53kSqt02wQrQibTjbH+1g2+PGLSzKk6qde5lQhWA13AaEYrWqEUDQfsWqsmIY+pJFDkYub2kLH9ajtbv0yCGOhw2ZrntpXyjTN0Sj/vT+iZX+ToKD8/7nFrV2xug+Ylimx4d2WwREQAREoDwIYIuBBy5Vx9+1TINsjd+5FG76jt3n9LXsoHJrErBKrMf//Oc/O9ICN2zY4I444gh3+eWX+ygr3t91113upptu8ls8aNAgd/HFF5fY1lfenEnzK3tX8TQ5n4ZHT/hGqWmjnUycqfChilsOaVn44oQbXkFxbU4oFY/Pox5Wy9alVwjs3b55ajGbIumDLZvsqFwYzNTCIqbCjRSouEZ6Y7hqIoLPS1OXuHEW3RPXvmVm6FMsfYoonnBDMHzPLnpn3vq2DyfFz2eERT5w807lNASt5mYSv2HLVjM43+IQrDA6hwOV2XJ5L4XXxWuEj6+aiHOKiTm9Qmz4DDNthCYifxat2RFdxmfhhsfSiXYRxheHFM1oQwR8Y+Zyf9OcLe+b75Fmc7rd7HHDlyvtjT8UcObpBobJmaomBtuDKIYXFCLPAQM6JopOwtCabccnjD9K2cwWWQ9/kI63FMdvWAQUUYP5tuCPHylduUQyREeirODFOZk0eizfbco0P6ln/IFGKH171nIvUmeLysu0HPZjUOdWFUKVCVbD7XhHaJZvVSZi+U+fZZ5WRAtyHOeKGCTi6lzzZxtrkY8SrjKz5rrG9fv/PfpRbDEIUp7/8vXh9drDIjMdfSICIiACIiAC9Z8AvwXeN9sbrD0eswfpuYIG+H1L8SkKmbVqWtpBLNXZe+l319W5Ji07EYHhw4e7u+++251++uluzZo1XsCKfhHx6vHHH3etWsX7AkXnr833b89KV5DxnMmn+iDbTlRGuA01/x8q8mVqmKBv3JJu4r2bCTnRRkRMNPWle9v0KA0EgXBrERKpEILCLc6EnDQlqrsFbYKlBsa1E+1C9JcXppugtCOq6BcPf+ieuahDbLolN4a/t5SSfp1auKufmeZN31kuN+0IeDRGVCwMVy30H1TxP8q3U/XuOKusRyRcWCggQoP0TQQUBJtsggTRBXhG4evVs90OYTDYvPXmBfaA3TBTaSPqRRbME4z7GweeQiCEZUtPZftIo3tw/Dz35KRFsTeOwTKDMZEkRFsdb7nlSaoV8scIc/1HJyz0RulJ0t44PknbO8HEq3yj5thOQo2J7EJgyBaZxrwUDfiqcT/NTNl7WzW9mmp4u71j7N+044Nhsm1zcKzmsw1UjyQdbbiJVYyJSCznP+L5sMtnXo7bp+wcRuBFFM/WEBHxuEK4QkBUy05gsQn6lz0wqVJl3eBbXAv+65ihSnENgGgsAiIgAiIgAvWIANHX/Gbn4WA2byt2mfssqjafMbqv4yGhHg5agal6dCzUm1057rjj3MSJEx3RWAhV8+bNc40bN3YDBw50p5xyijv//PNd8+Y1d+NZFbBRL6p9+uZ/c0M6Ubjl8lKZap5N4cYNe6cYw3cMyaMtmj5FWlO4hcWRaHTVuphKfKQGhht+TYhi4eXwOV5Rl1ta4KWWShI0hLjrXpzhLj5icDApbcwF7PsWtXS0mbff8PJMr96TLvWO+QUVu/UxoWN/izriJpVotuj2U0HvAfONokof252tERlFhBQ3aXFG/KS+/cuMxu99L7u3DusYZ5FDZ1ma3dgcfk34WuGZRYXCXBEkLBdD9hP26u5N6JMYpiNafWQRcY9NNNHKnqBkirRj2UFr06yRX8cpI3p5ESaYnnSMUPWIreseY54k7XG//h08c6LIsgnASdefaz6iATFcxz/tjZnLfLXDQgSrASZO7msRikQpUtWRKD398c5Fv7DPuSYiPD9hhRpI5bTDOmtrbVGdRCQSxSdz9qyo/IdcJ7hOXvnoh7FPWYloveqk3b2vXu6laQ4REAEREAEREIG6QoDACX5j3f/efPe6/S7O9Rsr8MD9ull8RO9P68o+V9d2SsCqLrJVXG6fPn3cNddc44cqLqrWvs6JSqRFuGXyogrPE36NfxJeOOG2b7/K1QTDn08xD6dwo4Jd3A1vNK2NFLtoVFXUg6dZox2RX8wfbszLDXo4IonoHRPOU+VO+ZzonDgOJ4/o6aNownnPCFOYuRP9k6mR+/w7q071I/O9Qsj4/IuZBadjsQ5S5YhowkNrlLEe1a9D7IWTCI0nJ1cINklEM8SHM/fr64628q5RTyeMxp+2Sn//tnTDqOgZ3W/S7GCFcNW/0w5Psuh83IxjFv+giVZUq8vVSE3Fb4rKiVTJDPdj3He5GSW67Qlj8KTd8IcrQ8bNzzSOBaLWTrG0SyosRoXATN8LpnP8/MdSEhH38NPKVsGR75BSCSsi3bKxCpZf1fGnlor6snkkvTx1qW3nMhcXlZhtHTAfZtFoCFac5/iA5RuxmW35+iydABGJky3d+vmPl/hooCRCKEtA1CWEHZE3es1MX4PeBQSoLPtfD0/2ZbCDaeHxSXbd+cVxQx3CtpoIiIAIiIAIiEDdJ8DvLAIxSBF83B5yJ/ldHDxwPrJAD9y6Ty33HqTfgeeeX3OIQGICCE9EYQSNm9Nc5uvBvMH4k6XrKxk5c1Obrc02v5Zwy2QIjvdTuMV5JiGghVtY1IgKWMxHJFI4HY6bu8FdW6cJKH975ZNYAYuKb7/+yjB37P++lvJjIgWPsupPm1jxq+N3y+rr1N2MxRm44BHlRboiF03S74gOW2spXIzXm7CIENfWUrHaNW/so7+IOIITQ1+Ltsrkh0T1PHyonjGx6S3zLbLrctbWxNIEuclFuIrzdMrHaJxIHESrbHnfa8xXCWGHtCeEsFxPN0h92t8iyr4yvKf70rCuOdP3EJCIKnrGnqCQXjV3RbynWRQKxQG+bOmBx1raZSFVIokgI52S/YoWD4iui/cHDOzg0x7Zp+qMtkJ4xJj/xSlLvWdbrjDo6LY22rmB964auV0oLaTwQHSZep+dAOcwEXF4szEkSXFliUSykuJ60ogelbwCs6+xvD/lWnz9SzP9sDny9wQyRKFedeLu7nCLblUTAREQAREQARGo2wR4wP3xwrXuYXuI/pjZiSTJ/CDThQdZ3ONEPYXrNo3q2XoJWNXDVUs1AlHvKiIr8n26PGvZujSWpFjkishYEfKR4std7DtJ2s6oGZFGBMtnm3eIFOGbvS6tmvr9CXsO4RUTFrBY3DG7d00TsJ6fssSMq5e7UZbSFW1DTOz63tj+ljo4M+2jxy3Ch3DTXxw71F/c4iLKwl8gsoflx60jPF+u1wiQ9COVx4jSiEa3Zfr+oC4tfVU7LsRR3ygi8/Cfuts8m7JVJWTZdMmhQzp74Yoqh3H7jYiCgPKwpQjCNiyaZto+vNio3oG41q1Ns0yz+encgBL19MxHi7zpe9TYP9OXSXU7ziLniJ4LV6/MNH90Oj45pCPioZYkMoZzg8guUhKr09sKkfYF4/yiDa/PWF5JYI7uR/g9gtXwXu18Dj9RiPglNbOIOrXqIcC5MMVSqsebQSjnMZGSSX5IBVtDtOOhFinIcUy6biOLzlRLRoAfsBSJ+O/HPsqYUsy14Up7MEEKuZoIiIAIiIAIiEDdJTBn+Xr3iP1mf9h+u8+w4IFcDU9hHmwjXI2w4Iy4e5xcyyjXzyVglWvP18B+kyoXboWY+0YjOuKq1IXXwWsq64Ubps9xLSpYfR4TrtOtTdO0m49w2iERU6Q6EZEUNCq/EaUQbmcf0M/9443ZLix8/O6pKe6B8/aPvVj9+PDBvkIgRujhhsH7j++Z4Cv7nW7pO/hR5ZuCFl5e3Gs8v/ByInLr9RnL3Lt2wxtNo4z7HtOISMOPC4Nw0gXDF2Ju5jge7nl3nhdlMPTO1oLUt9NH9YkVY4KQXAwQEfeiZvxxy+7Suok7bo/uXriiEEB4+6LzL1+3yYs09O2r5uGUq3pg8P2e7ZqZYNnN3/BjzJ5tHcF3wuOVFhVINUpSHzGbjzkkw7OboNDApyJiMj9ml44ZI+fSvpTnG1hPtNTUZ03Ay0fEDFZDGi0pmVRuxANPKWcBmeKOEYZ54ke6LOewHy9YkzPNNLoV/KA6zK4tR1n03kFWSbDY15jo+urje9IFr7TqglQ3jWvd7e8KEbUUw1ATAREQAREQARGomwSW8LDZUgMfsYfoE+atzrkTduvoDjQrkZPsIToZM/qNlRNZ7AwSsGKxaGJVCSBYjK8kYKUbmidZxyxLIQw3qu7laisjAlY0Aij4flRc4EY92rr66JwdpuhR43c8osICFqk50UZVOfypqCoYNCIiuODFeVuRpvhbSyWk0sSvHvnQrYxElGGuzEAaIMIAYafcaJJi1922F2EtVyPVDr+ieSs/c3NsPNV8w/DC4YlBDIaMi2tuERqkvhxrwtBBgzpWSldj+aS9kf5GOmiuxj6fZmaFcalvHFNEgGHG/qg94VgQY8IfXT4340dZBBzpe0SjhVNAo/Oy7/TlcxY18Z5Fq+QSj4Lv927f3Pt6IVwh1kSPq2C+TGMi+DB1JDce0XBrgg7Ag+gU87b6skW4IfYVuxG5g39dEHW2eM2mxKsg1QwxbaxF7Bw4sFPWtNfEC9WMngDnwFITVzl38VybvmStm754nR9TOCDpMRvF2d+iBQ+xSMdDdu3sRXlFWkUJJXuP8P1XK7zxzzfnxFZg5frzTUuDvujwQS5aBCTZGjSXCIiACIiACIhAbRJYbfdleABTSCmJXQnbSiZGkCIoQ/aq954ErKoz1BJiCHAzFfWYylU9MGYxdpOWLnpwo5WrEakUbhkjsCJCT5xwQARWuCH2hNv+5jUUbnyOR1J0XxFlbn1tVprR90/vm+h6WcROXGQaIgiRXAhUiFhUt4s2IqMC8ewWWzYNI/LubZt5cQuBC2W/oUXprLeIJ6KUGBCvkkQsRdcXvIfnIUO6mHDV2Y0d1LlSChj97n2oTGjKlSLIMhFgEGOoZhZnNI5nD38kSBGcZjfruRpRSeMGd/apltyUZ3q6gb8ZEWbPm2hF6uGsiHdatvWQgkhJWyIoCo20etbWi7cZ6Zl4neVqeLSRksmQpDJiruVFPyf6jm1hmziu1tixkqSR5rlnz7a+chppZrv3aJNIRE2y7HKbh3RV0pRJH8XrjDLLfrDXnAdU+EwaDZiNHSLjaPN+wyiUa0ySyNZsyyv3z4h+u+XVWe5G8zfMFF060qJ1iboaapGZaiIgAiIgAiIgAnWHAH/nsQV41DytXp62JNHv9h52P0aKIMEKuTI/6g6J0thSCVil0Q/1bisw5w43yq2TXpVvWx4xWk+kWke0gExRN5iYh9sSizKJVhEcGKlyR4TVVhM+ApPzXc2zitS0cITK1c9Mdf/6zujwor13zCVHDnbn3zk+NR0B6pv/eMfdfOY+lloVX1kRg9+/fn1vS0lbZBFck9PWk1pQ6MXGLV8kinQKfSXnSwQKLrwHWlTN4eaHg+AWZcrTiKctxQyhjSgiOGZrLPMgC6El9e0wE8KiRuPLLJLhCUsNJJc8XJUx2zIxAifS6miLuMoUdUeKHmk9CFYvT12SWKRB6yQ/ncqBhPxS+THfhvcQ0V1EW5EemIsRyyeCDJHsePPqOsAEh+C4y3fdmeYn+uuFKQhpiz2XpOminM9jTSQ8ZEgnL2JWRxRYpm2uS9OJmKJ4wop1mx3XMsRdonR4zTFOWjHvec01JOynV8z9pKoo3mN7WWovQgoedflGChZze+rLshAc77JU7+vMpD3sjxjeP/4+XH70rv4HrJiHyei1CIiACIiACJQuATx2X5m2zD9E5/d7kt/IPCCk2joeuwQzJMmKKV0CpbtlErBKt2/q9JZFKwH2MyGokB/v0Uih1k3TRac4SE0s6oibxqAh6sS1aNQBFaKIdghXfyA1L9yISsGoPTBH58L03TH93a8f/zg1G8bWCF37m+dPuJFi9sLwJT6dLphOtNhpf3vT/b8ThrlTLUorU0M0GWvbgvhx19tzUxUAe7VvlrgSXqZlR6cj1hDqiiDEPhClEWcyjJk3TyOoSEi6WVwEW3TZpNsRbXWSDUSKhVuQSodxOSJYDg3Mf5UbcdLoiFbjSUe0BWmHmI4zYGSdZLkshwg2mOMHdLBFFuUqHhBdNympH8xbVRHhlYcBPpUbD7VULp7YEEmWKYIsur6k78nXf2a7kIY5fZJ+Y9mIIAiYmHrjcVZsMS3p9tf2fETuLTfhCcEC4YmUPt6HhSneI1YxxFWeq6594NwdYNdaIvSI9GG8p1XAzCToVtd21PflEq34r7fm+IirTMJVYzO8/+aBfd0PD9klZ3XT+s5L+ycCIiACIiACdYEAD5f5bcy9CGmCSbIRsIo5wrIyfOZMNTxsrgvcanobJWDVNPEyWR/+LOHW13yaCmlrLd0t3DAKz9VIows3npLHNVRylhcWyUgjCwtYRHwRfYQpctBesMidQMBi2umj+7ibLX0kbPB+9TPT3H7ndkgT7RDw/ufkPXz0Rdjcl/Sxnz0wyVeau8ye1HMhjGsIGVwcGbgxJoR1vqVqPmviyCfm3xQW7eK+H51GFFQ3q1zH/vbt0ML7Nw3t3sZuelvFGm1zUZ9ggsxLU5fasMRNTGBWyDqpPHnMHt3ciSY0RatsEJL7nG0/fyhetuUmudnHAPl4z6G7G9K1VRpj1kd/I6hhOI5olU/VNaIliLJi2M/+COUrHiHCvWIRXlToo4+jEYRsX1zjZhfPqGONE+sutj8Owizm8E9aVFs+/l579mpbkSo5tGtBlRTj9rWUp3GML1m70Rdu4Nzi2IEd3nek9JHal7RPq3M/OV56mnhNhOguJuLu0rmV7x+E53yP2erczvq2bCJN77SIq1te+8RHz8XtH9dV0nx/bD5X0Yq0cfNrmgiIgAiIgAiIQO0R4GH3+3gT270ImSQ8nMzVGtvD5kPsITMZEtnsSnItR58XRiD+TrmwZelbIpAiMDviXYVAkm8j0iEaPdUqQQRW9AZuo4WAxjUEJaKwwkIM1aOiUVdcmMICFh5Blx45JJVGx/rOP2Sg+/lDk1OrIUrrX2996sWt1ER7gTny9afv7c775/te4Ah/xvxExpxtJr+nmh9UtogfUra+Mryn//r59oTfmztbRMhMM0pfvn6T54aQw4BA1rLJzibWNfLiWEsT7bqYcNW9bdNKqXvh7WGZCJFvmRj0hj2NeNX8kaKG8uH5w68REQ81n6zjLPf7YOMXThFkmxDA+COByJQkJJd0T0JySRHcx1L5oiG5RL8gVrE8fJzy8QnCeJ1tJeoJ/6Z8IgWJsvrQKr2xTgQr+j1JaiCsYEQaJdF1h9uTmyTRhWHGuV7jmYQX2RP2BImiAUkaqaGkmGGiz9Okbr6IQZJv1p15EE3xqiNKFE+p8IBYlcSPrLr3lmPDn6PGn0hFzlXGfUxs7mPXrK52/kbTeKt7m8p5+Zjm3/r6LKuiOjfrtYVIzUu/NKRaPOrKmb/2XQREQAREQASKSYB7HCo3PzpxgReu8G7O1fjdhW8oGRL8Ri727/Zc69fnOwhIwNrBQq+KSCBarS8c1ZR0NZusElq0RaOrop/zPhq9ssyEnUyNdJuwgPW6CTVnH9AvbXYEGCpLBQ1R50GrqneypcEFDS+nG1+ZmZbOh/k6yyeSJ9yaN27obj17X/f7p6b4FJTwZ6Sj/OHpqe7Pz093x1llv7P275NIVEF06Ww3tQyFNoQlhLqJVj0S3ykM2JdkYRddD08jxlnK3bF2YT/UmIX7gWUj8FBpD4PwJAITKXxUODzOlkcqH8sPGn94pm+vGohohXG+TUrUKqo3dvBG9IiTiXzVQktG5CDF8TWG6cvyisghGo11YgCPUMqxUMw2w6rSPW0pnaSaho/rbOuA60Hmb4bXFtFf9cHPiiqKn65Y7/3giKqkAiZjhPV8juls3PL9jGtXhxZNTJhu7Bnjb8frTtvHnVs19X56nWyMx1g+Qmq+26L5cxNAnH7dUsH/9SYPFhZlTT2m6iaVZvc18VdNBERABERABESgNAnw8JLCUAxUH0/SeLDLA3kepGcLLkiyLM1THALFvXsqzjZpKfWAQLQSIOl6+TbSZKKNG9NcrZ+lK04wESZoMyKG8sF0xijpiFFBI8oIf5NmjXcOJpn5cVufqjZl0drUtGufnebTvYJoL0SAK44e6s7953upefAW+vZt77i/m1gVTjlkBlR80gXxqPnp/RNdVKxjP+9/f54fqISICOb9qGxMCl1Vbm6JECI9asbStW7mkvX+Aj5p/mqr8Lc2sR9SsJOkYCJWEUWEIBMWrUinI5UOMYW0wySRVkEqHU83iIgKCzyYKb71yYqKSCszHp+7IvfTkmA78cc6zJaHGDnaPL2Cfgs+zzYmugvTdXzN8DfLp1ohyyWti30hyqvY3lHcZJPWGXhaIdQkaaSpwuJLeKtZ1EimtNUky6rNeTjG+AEyk8HO84qhIrIqaSRcodvPOcx1DSGqo1WI7MhrGyMAMr1CqDKRavvr8LFc6Dr1veonwEOEe9+b670Gic7L1hDWEa5IjVYTAREQAREQAREoPQJ49j5m1QOJtkr6cJfsDO5FjrVggqhnb+ntYfltkQSs8uvzGtljbizDrU2k4l/4s0yvG+3cwNk9YtqT72hKYdx3EQzCLZvCjqjBjWhws8vyiRQihSpopKv99Kgh7pt/fyeY5L1x/vnmHPcdM3APGt85b9wAd71VpAoakUZn/f1td+tZ+7r9TSyLNgzI9zCT5Ssf/ahSSmEwL947D7w/3w9MQzTCDJ2ByLZ2zRv7dDREGaI81m363HNDiGP9+Igtsgpni205+HQxJBECg/VHx7sY33Emeowd1NmEufY+LTKYh+gkIqwwd8eHKkk6Fvz3N2GOiLMjjSFRSkELpwYiLq63/UnS8KFBeMRwnKiifKquUamQbf+PDYynLU72hCbYLsRM9odIq4MtP76Q6MNgWXFjhLw3TEgjKgT/sEwm0tHvEtVDlBVVGhFuw2md0XlL7T3H8FQTkD+2YYYJrfQJwnTSfc93fzDS79GumS8MgPhJKiVCMtF6nUyk6mwD5100lTXf9Wj+0iDAOfWCnUsP2MMMRPdshQ24Xh1l1ymKd+ARpyYCIiACIiACIlBaBPAK9tXMLdLqndkrEmVpUKwI0Yqhv2XQqJUuAQlYpds3dXbLSBeLRtu0DYkSSXeMKCNEmXC6GTcauVplAStzVArVuUZZtT08noJGxFBYwGI6qXHMRyRO0EgrJJw0rMxfcsRgHw1CREzQEMXONvHrimN2dWfu16dS9BQXydu+NdJHjd32xmzvDZXNzBzTeXyXGGqiccPOvhMFRsRB2JiYCKCJFgGE/xTC1eT5ybbJ7gF9JBT8uBkMh+QS4fSsiTNUN8zHcLy5Rc2RyoNohXhEZEySts4qVr6zPcKK44A0yqTpiMHy8VIjDY8oNCLlwhF8wTxVGa8xAYcba4RBotnY5iStnQnHRMcdZZypJhlOw0zy/Zqeh9TQxSa2frRwtfvQjiX6ggHPqmI3Ihl7W7Rmn/Yt/BihsZeJVhzfHS21rypRjsXeVi2v+AS2msfi2/ajFtNWUptzVRoiShFvwrMP6Jt2DSz+lmmJIiACIiACIiAC+RLgwT0Pd8msweIj28OoYNk8pDzW0gMRrSjapd9+AZnSHkvAKu3+qZNbx812tLUuQMBiGVEBa71FF+VqUQGLahJEBoWFpvAyjjCfpbCA9bhVavvJkYPT5ueCRhTWif/3RuqrpEmebdFV935vfxdEmPF0/q9f39v98N/vey+iYGYEqV+aJxYX1suO2tUq/rUJPkqNeZp/zdf2cpeb0HWXVbq600zdF1jUVE02IpeobLa7RYXh54JwhTgTvqDzVAMPKIQUKiEuW7c50SYiWo205R1jkVakriGM0Yh+e9duJIkmQgTLFjEXXREihBesLJIOgSZJaiDiD+t709IRibKabOmTQQRedPmZ3mMqz/qIZELUK3aUFevFhD0QBpNGs/E9KikeYVUDEa5GW4Rcw5hUXOar7Yb4Ocf2Ef4Vguxq95GJssWs8scxxvHb3wbGfbePiV5McqzUNiOtv7gEKAxCeWxKYyOQJznWBndp5b4+qrf7yt49ZNha3O7Q0kRABERABESgSgR48IkP7n3vzfNpgkkqsvOQkgfoiFZ7965cGKpKG6Qv1wgBCVg1grm8VhIXvdIQ9aKARiUuBJOgzV2ZOxKjX8eWPg0tnMaIEHD66D7BYtLGRKf85omPU+lupNf95YXp7qoT90ibj4sc6VdPTFqUmk4q03fveNfdbhFUwQ0xUS6IWBfe9YFDDAs3PJSO/ctr7gQru0q0VpzwQeQQlQV/cPBAX1XwP+a9hMCG2BL1FgsvO3jdyiIFklzASSlD7GPYpXMrL1ohrEX9kEjfenf2Si9aYXL/sUXEJG14WhEVhZiCD1QQaUXfEPXwvAlWL1pFwqTVDRHY9uzZ1vtZIVwN6doqTVyL2y7WhWBF9BwVFSebSJKvYEV01z4m6JEaeKCJVjylKXb6GNGF7xnnlyyFleM1HyGPsOcK0aqL51PsbYvjms80ol2okIlYNXnBjuiqpJFk2dbFtaWPRVJRMIFjmfEAG8NEFWKykSuPz0gzJS2cCEaqhRLBmquRQorvBcIVvnVhAT/Xd/W5CIiACIiACIhA9RIgMIFIK4SrJN602K/w8Px4u//iAXSpPtytXmr1Z+kSsOpPX5bMnsRJVXGiVpIN7ms3pmHBhCpiuRpRUHg0PfzBgtSsCCWZBCxEstNG9na3/2dOav573p3nzjlogI/aSE20F7/58u7ei4eb8aBRre/H93zg/nLa3qnS9o1MuPnzqXtZFFdT97dXZwWzpsZs25MmhJ2yT09LS+ltEVmVw1a5aQoEpjP26+uIWEHAw7wcc2GGefZ+vUUUkbKJEfwmS1ckAod0GKrtkcrWwgaqE7KfXRnaNPHCGdXPojdmPMlgmeM/tUqEJvq8Y4LKlEVr0nzIUjuR4QUeVhi7H2aRbaTUIYix3KnmXQRXBKv3rMphUhEJ8eigXTp5AWyceUoFkVsZVm8RYZt8SiCCFX3zsW1/vscf7Pbp286nTWL6vrsJe/RpMRtMEKletTBn/L2ICIum3mZaH0IegirVDPH4KqVcffqV/SK1lOIADJzDSfzrMu0v0zmvB5goNbhrazcI0bVLhWDVp0OLovdNtu3QZ6VNgBR2L7j7ogvLEhu2sldELJ44vKf7kj2okPhZ2v2srRMBERABESgvAvx9x+YF0YpK4Ll+2+MLzG9kqplzX1iXvF/Lq2fz31sJWPkz0zdyEYhRsLbl+k6Gz7k5Dbc5y3JHYDE/0TlhAYsIpmh1wfByz7dop3venZu6yeYm/PdPTXHXnz4iPJtrZxXF8KsilXCJPdkPGlFZbZtPdlcev1vqZhp1/4pjhnrz9svun+TN04P5GZNW+C9LE2TAGJ1w1gMtWgnz8bgnA0TVwCPKJLzMfF4joMy3JxhTTeCZNG+Nr2ZH9cYkaTXR9RDtgmE5fyj2NeGH7ecPDVFjmCMTUcS6kjai0A4f2tlHFeG9FUS3xX2flNU3rX/pY1Ibp5t4km+jYMDwXu2sryqqPe5lfVAdflGrLe2UP7qkXr4ybVmlYyLbdhPNdoBtH0bsRLN1btU02+w19hn83zdBEtEAYZKqiGHfukI2BNGTKLeh3W3YPkaw0o+PQmjW7+8QMTtp/iovAFMpFNE9nyIVu9kxxrWXghp4YaiJgAiIgAiIgAiUBgHuVT6wexMegD9mnpW5Mkx4wEumxEl797T7iC5p1dFLY4+0FcUgIAGrGBS1jDQCDVxlBYsLUCGNCKxw+2RZMnFirEXsELERRPkQnfSsRWGR7xzXiFA6y6Kcbnzlk9THT05e5Kg0GI3cwuT579/c133txjfTzLTxrJo0b7W79mt7WuRUq9RyEHZevGScu/X1We4Gq1AYd/FFdPnz89P9QMQRaXJ792lrFQrb+mqDVEQrJCKAqC0EKSK35q3c4H2V8Faatr2SW6EpXEQoUYGQfeOpRiCqfWpm2/82/y78sbxoaCJW0kY6IObrRG7tZfudKQ0OIRKh5PXtqZWTTDCx3cyrIVjBGHGMCCuimYptvM4GIeL5bTXRivTLfLe1gwmmY43voUO6+HE0vTOvnS7SzAiRFdF5K7xoRWRdgae33yLESkQEohB3697GC1Z4VGXq/yLthhZTRwl8tnmr/zFLui0m7AinSSMXg11GoKZ4xFHDunkD/2C6xiIgAiIgAiIgArVPgN/Pj1i2yu1vzk5UIAqv05NG9HQnml8llaPV6jcBCVj1u39rZe+aWMhmtBGR0SE6McF7vGzCDaFn1WebLdqpcXhypdeYqhMJRFpW0G56ZaY7bo9uldLmgs/PGzfA3W1RWGGfqV+Z8TqeOggd4caN9o1njPAm7ls+36GekC519P++5i41E/hvHdAvdROOOIKnFamKf31hhrvDLsjh74WXDSsilxjCjfxtIgQYN2vc0DU3EQmxi7UTzbXFRDpMijG6X2GM8A6DVb7iTnidwWsEH276qLCHcXkQoUREEdt5y2uzfCpckjz0YJlEOCEekW6IcBXnB8a8eEN9YCmNnomJQKQ3ZqvSGCw/PGZdRLaNsvWNNiP54dUkWHFzzfZVpC8uN2NJ21brl6SNJ0fD7NhCFIQJAiZCbG01BOCpi9a6d+dUpJMiXC2sQmEBTPd3s3RMUjIRrNhXxGM1EYgjwIMPUqbHz11ZIVqZcI3hf/BgIu47cdMQfnkie/CQTnZudfbp1HHzaZoIiIAIiIAIiEDtEZhjVjEEDxBxFfYyjtsiPH+pIHiyCVc8iI7aosR9R9PqBwEJWPWjH0tqL7igkO4UFhmIAsokUGTb+D2sGh45zIF/DpEeVJHCeD1XO2N03zQBa/L8NZZittyn6cV9F1Hsv08Y5n707/GpjynBet6/3nOP/ODASk/qEXKutaqBF939QZoYhWDx68c/9hX1fmUphUPMsydo7S2i5hfHDXXfHtPP3fPOXJ/HHaTWUdkuLJ4F3wnGmA9PMTGhJho+ViP6tPM+UPv0aW9CCv2ws3lrbfFG49c8O80irJZ5U+58BDIEOG4iidxCDIuLeoIf/klU3kO0IoIp6P+k+47v14jtVRSpfMj2V0f62SITc9g+KqAwxqQ8Sdne8H50M1EHo/sxFjXIMcUxUluNJ16EarMv75hYxTiJ6XXc9tLXCFVUtGRMlFVg4h83v6aJwJI1G71nFQ8CuAZMsIjWcBGPpITQfBF/Sbk9wK4zFGCojpTgpNuj+URABERABERABOIJkC3ykllr4EVM0ZVsUf1BiiCiFcWL4u4j4teiqfWJgASs+tSbJbIvKOAdrERpOFJjuRlrF9IQHfa1mw+MroNG6lgSAetLliJCCuJsS2sL2vUvz8goYDEPKYYYTl9vqX5BQ1T6zu3vuPvP29+inxoFk/2YSlWkOyFihY3d+ZDory/96VVfufC8sQP9jXzwZW7uLzp8kLvg0F18dMHjExeZd9PatP0M5q3uMRFdlIrf0yKU/GCCA/tEP1LB6z2Lvvkf8wPzhujGJh/BihtJhLBDLAUO3ya8vqJPSPjDhdE6nlCIYoWkBHFzuo+tBwGISoEIJnE+YlVhSSW9jxeuTQk74020WlBANBIVzog8G2sG95jcY0weZVKV7cznu0GKI75cCIYIcJkiA7MtF8EaoQrj+xH2FGxv6wtSA9VEIBMBokMRqPDdQ6yaaK/DvoKZvpdpOinInFdBWjAivJoIiIAIiIAIiEBpEuB3AP7Dd1jEFdHW2Rr3Tafu28udaMIVr9XKm4AErPLu/2rb+8oC1uaC10WkTljAwlspSSP1ikqClz84KTU7EVhv2Y06qWSZ2k+OGOymm6/Pc2Y+HrRpi9e50/72pqUN7lPpwsmT/sd/NMb94emp3ucq+uQAg3eGnuZj9cNDBpqpYNdUlA0+PyMswomBhmBEBAwRPQgkpOQtXlOY+BdsO+OGth58tHqZf1ev9s1M2KOaWys/UJkQAYX0Q7yxiHC77sUZ3gw5n5TAYH0dTbykaiDeTUQVxUUUEbmE4TrV9xBPlq3L7/igb4mqQqzi+EAky2b0HmxbPuOVFjVI6tL7cyr6g34pxJzcNtXEHdIvg2iQ4m9r0v0i9eojS8FCBIY/oiT+cPk2ogURDIlsYTzMBMNi8893mzR/6RIgtZbUvwqxqiK6KvxgId8t5/zH3J/znsqBI/t1iL3O5LtczS8CIiACIiACIlC9BBZbtPXfzHOYIla5PCx50Hvm6D6WvdG5Vi01qpeIlp4vgQbmMbHDwCffb2v+ekVg3rx5rlevXn6f5s6d63r27Fnw/p1169s+DDRYAJFGRBwV0rjpOeG619O++vSFB3nxJW1izBsiTMb8/kUvDAUfE5X15AUHZQ07XWupcidd/4YJOumm8Ygx131970qeWMGyEX8uuXdC1op7CBqj7IbrKCvVjsDD9mSLwMEDauGqjX6ZCD+f2T5tsBtCxBQMzfluY/OoamRRMEQdNbOUy/YW/dLeUiLbtWjkb+yoWBf2UiKvHJEOA248jkjZQdgoRMwg+gm/MYQkhCtSxaIG3KwP4RDxEcFqRp6VAm0X/Q3rftsjLEgLjEbDBX1QyJjjhBtsn7ZkxxuRIYWId6wbzgg6o2wbiR5kW2srGoTLO5GBpGK+Ydzhn8tTII4fEXlEV5FOOrJfO9e/Y8tKfRz3PU0rPwKIVVxLuKYwENXH+Z5P5GaUGsUM8N1jGGHHIQUYWliqupoIiIAIiIAIiEBuAsW8x8u9tvg55q38zN3w8kzvb5XNH5bMkFNG9LIiWr1df/MhVhOBKAH9AowS0fuiEMD4nDzmoCGSFNoQA7q0bpIWiXT/+/Pc5UfvmnORRIWcN3aA++/HPkrNy5P/3z89xf3yuN1S06IvEEduPnNfE85ecysthTBo+LGcfstb7gpb9zcP6FtJeCJ95emLDnK3mqn53179JOUfhAATSMXcyHlDchMVaIgbRBNhMj7EogqI1KLSYTuLckGcIo2yr1XXYEjaEGSI5lqydqNPyfvUKg9SIXDOivVu9rLP3CJ7+lFoI11sz15tvDCDvwzpYtHoG7yyMPxG0GNfEYeC/U+63iAliLQgoixyGfcnXS5sOB4ncnNtQhU32USe5etdFayPP7SYwlekzln1SHtdWzfXCFYc394/zNgzzjctC4F1qImQiFWIVohwXWS0HnS3xiECyyw1nJRrzu+KoUL4zfdcDy3S4V/HNZ9rIpGLXBe5JmYT+cPf12sREAEREAEREIHSIcAD4f+zzI4Hx8/P+lt7V7sHOnO/Pu6EvbpbkSpJFKXTg6W3JYrAKr0+qbUtKqY6j0H5pfdPTO1LPxNfXrxkXOp9vi9+9+QUr9oH38Nf583LDknkc0Ta1Mk3vOGrwwXfZ3zr2ft4b6bwtOhrIgfOuf1d94ldfKPtaIugwqSd6Ka4RqQLlTRue2O2NxCetzJ7fnd0GVQY7GoG35jitzSRhEpaLbZf0AmbRKxADCMSa92mLTZsdevM6B2RbY2Ni9W4oUSkGrk9mgifrKhgRbrdW7MsPdNS0grxymJb+1gkGhFcpNqR4hmXepjvPhGhNnlBRRQIJv4f2msqWeZbxSy8Xkr1eq8nY4JwNdDE2mjEWXj+6nwdRFghVMGeKLdCBCuEggPN8JrIQPqaY01NBAIC+L/NWLrOi1VTzAfuIxOtKCiBSF6VRvTmMBNLK7z32noftX6W3lxb51NV9kXfFQEREAEREIFSJVDMe7yk+8jDYixJHpu4IGMUNlkLR1thrrNMuMIWQA+rktIt7/kkYJV3/6ftfTEvbqRiHf/XHWl/RCB9eOWRBSvqM8zg/LBrXknb3iQCVPAFhKij//dVFw5ZJcLpoR8cYMJJ9sgmookuuusD9/yUHZ5YwXK50T93bH/3rQP7Zdw31onA8O+3P3UvTV2aM987WHZtjUkXw5CbiCLS34iEihqiw+QdE0xISWMgCiPfRuQSKYFjMDO3Kny5+iHX8jGDR2jEq+oD864a/+kqf5NdFbGKCph4nBFVNby3pS/ZH9faNifH9BIvt1cswhEPsUKM5BHh9jfB6kAzvd+vf0fXxs4FNRGAACmAiFOc06QCElnF60LSi8NE+ZFKEQfS//awCM49ehBx2sqnPofn02sREAEREAEREIHiEijmPV6uLSNVkMCDxyYuzDgr2Rwn79PTZ8kUUqU+44L1QVkQkIBVFt2cbCeLeXEj8mXoL59KSxu799z9fDpSsq2pPNeXzQcLcSJoe5ugQGXApGr97f+Z7X7x8IfB1/2YShb32HblqmiBOPKn56e7/7UhrnVu1cSdbwbtJ+7dM2v0ClxIrXxq8kLzglpu5uVVi2CI25ak0zB2J9VzEGbuXVp6oYbqfe3MbybaKG//tqUEUiHwHRtzQ0v0Vz6NaAtEsQNNrKJaIJEXUWEsn+WRHjlhbkUVM46LCSaarq1C5Bki66DOVGMkfanCbweje7zFarOtt8g62JOOSZXGQtIxMeonvdUbyRv77qrgUptdWhLrpmjDHEs3JX2Wp6QMvJ61fH3adbuQjSUNdRc7l0gF3L1Hay+IkxqglIBCaOo7IiACIiACIlA1AsW8x8u0Jdzj4HHFkOmhFw+GTxvZ24ps9Xfd2qiaYCaWmp6dgASs7HzK6tNiX9y+9KdX/JP8AOIPDh7gfnLkkOBt3mMimC57YEdFQRbw168Pd8fu0T3Rski3Ovef77mnP1ycNj+pa/d8b79EPj/PfLjI/eS+iRmNsEm3O2F4D/eNUb3NzLxN2nqib9geomcwqQ+qc+FVhT9VVaKGwutpYqIR/kVUHuzdvoVP0+tjEVaYIpLWiagUbQgmGC8jCHlhyESi+avyS39kmTxdwXR5tAknRFoRwRRNPYyuO9N7Ir7wq8JcPTBaLyTyKFg+YhVRSAh2pM8xxny+tryrgu1ivNo8196dU5GKiXA1yfY5X38uosTwDasQrTrmLBQQXr9e1x8CCO+LTejF9+5T87+bZeOZlgrIgCdevsdVHBl+jA7u0sp809qYYNXaX/eI2iz0XI9bh6aJgAiIgAiIgAjhr3lWAABAAElEQVQUTqDY93jhLeF+5vFJC91VT0zJeL/A/dGZ+/d137aMldrOZAhvu17XTQISsOpmv1XLVhf74hb1reIJ/JMXjCl420nFO+Lal71JdbAQzH2f+/HYxDdLCCGn3fSmj2IJlsG4f6cW7vZvjfTm6eHpca+JmvrtEx97M0K7ZmdsiCKH7drFSr92smijNol9XfCbQcSau2KD97PC34rIovWbPvfpPX6FJsDsZCqMjazq4M4pjyzS8lqbAX1nM73vZN5cre19pgg1bm4RpqZbeubH231tSBmaXWAEBjeyFVXqKirvIV4VchMbrgg40YtWq9wnVkmv0EY0yCC7wSYahKgvxhyLpSBW8Ucf0/X356x073260o+pDJntuIrjQJEDRMKR5mE1yoQrxLlM/R73fU2rmwRI96My6eI1m2yoqFTKOY3f3nwL4Wec6SloIXvc3Tz5MPgf0rW1P4dIAexrKdjhCqeFLFffEQEREAEREAERqD4Cxb7HC7aU+4YrH/3Q+7AG08Jj7kOwWTnbxKtiFWMKL1+vy5OABKzy7PfYvS72xQ0z76/e+J+0df3HjNerEjL61ORFPooqvNCffmmIO2/cgPCkrK8xOf+abRdm3uHWydIAbzpjhDfmDk/P9BpD8P95aqr3Iso0TzC9Y8vGPjLhsF07+4ifmoxQIJqLfHSiLhCC8AMjBZD9xwC+0EaEFVFV+1slQvyU8LaJi+jKtfxoeiL+O1WJQEPMQTzDYJ0xQmIpiFVwYL9gHxiuv2vCFcdjvg2xkOqMY8z0Hv+wgeYtJMEqX4qlNz+i8joTpdZYAYiV67e4Zes3uRXrNvtjBOEckcqLVRZVtdREq7UWLVkdDdGXKM2hJvQi9gaRVcUorFAd26tlioAIiIAIiIAIZCZQ7Hs8HqARcfWvt+bEWorwO+L00X3cjw8fJOEqc7fokwIJSMAqEFx9/FqxL25EEu39/55Nq4j36y8P8xe0QvkRsfI1i6BCHAsaEUiPnH+A28WibJI2RBOWQ2nXcMMX6mdHDfEhrkkFAXyJ/v76bPf8x4tjL+Lh5QevWQ/+StwkEkXWq11zP0ZEa92skY+cwiA+0zbAgcgK8s1Xmqk3w/LtN7pEby2wKIwFq7ZHZFgUxmbri6o2qiGO6NvO+5jtY2bmcdUIc62DG3Sqmb1nwg1+WqTK4cNTaCMkGcP5vXohVlWMqdxYKo10TNJD/f7aPr9vUVaF+HRxvCAW7odYaCmZvG7ScOdS2c16vR3Bucb5tmnL5/684zURoZxXTNvy+TZ7/bmf5udj3u3zM8/GLQyf+/N1w/YxVUP5AbjOIis5TqhautYiRO0UqdHGNQdBnShFUgErPPFauWZ2bqmJgAiIgAiIgAjUfQLFvMfDZuRH/x4fW6EdUmQE/PL4oT5au+6T0x6UIgEJWKXYK7W0TcW8uAW7cP6d76dVoaCqHX5TVWl4Ah3319fSFkF1q4dNxMrHJHjh6g3urFvfNuPi9EgsFnzIkM7uv0/YLVFKYbAhLO/ud+a6u96e61MAg+mFjnl6gThHSXnSBXmPoOVvhO0mON80s3y2g5QgbmoRqfbC0NwEEwzf800V4oYco/XxpMf5YVVG/7Bc29do5wY+GmQPE6yI9iK6CgEw323KtZ5CP0ew5VjCOwyfrg9svzHFLiSajEi24bZ/o+x82dcGqiCWShRZoXxq43ucK0S4MSDyIhKt2VAhFpFOzPG5ztJzEZMYgjRdBCfEJcQmXtf1RsQeqX5UGB1g10rO5QGWNs3508YEczUREAEREAEREIH6S6AY93g80LvVHtj/j1UYjHswTkGsnx+zq/vSsK4ZH8DXX8Las5okIAGrJmmX+LqKcXGL7iLV9s795/tpk1+99GAzFW+eNi3fN//10GR3x5tz0r528oie7o+n7Jk2LdcbbmjPM2P3N6zCW7RhgP69sQPcuWP75yWMIWT855Pl7qWpS92LU5f4tD1uErlhrk7RKbr9Sd/jm1VhwowBc2tLG2pj0Wwt8/avCgs4RB1hAF+InxPbjck6ouTuPdqmqgLuan47pRJ1ROQb+0YaKVUBP7SnUaQ+EnVTSCMKhqqaIyyyDbGKqLJS2ddC9qc6v0PkExUol6zd5IikrBhvckvtPWl2y0ysWmavEa0QoMqhER3ZxSIPu9nAD0g/WGRnT4vspEgFVVIzRXOWAx/towiIgAiIgAiUM4Gq3uPx++qSeyf4e5soRx6SfX/cQF9ZsBDv2+jy9F4EchGQgJWLUBl9XtWLWxyqTVs/dyN/83xa1M1PjhzsfnDwwLjZE08jsuIr//eG9xMKf+kPJ+/hTtmnV3hSztcIL396brq77qUZsQITN4WkFVLtsJBonzlmio6Y87IJWhNN6MCLqjaELEQ0oi6IvkCgwtsG4QrxpJCbW8yjSQF8f84qN2n+KqtcuKZgwSCcnoiIUyq+VTxtwnNokvUbIdNTFq1xU02ommPVIqvSh31NVBi13XB9377tffpoIX2Q8+CugzMQFUVaKRU5GZMOS3QjqbEcc8ssVbYcGmmj7Vo0dh1swHuqg1WW7GLnKlVFEas68d783niv6LxyOCK0jyIgAiIgAiJQGIGq3OO9Nn2Zu/DuD/xDwuja97QHrn8+dbjra8WD1ESgpghIwKop0nVgPVW5uGXbvcsfnOTufOvT1CxU/HvuorGJq/Klvhh5gX/VcX95zaf+BB/xFOBf3xntI1mCaUnHr05f6i7yF+j4G2REByppEOmVT6pidP2kKgURO5irU21w3qqKimGrPtsSnT3Re1INK25yK254e1j0RY+2zV33tk29OEL6EJ8XKpJsMZEP83Gq5b3/6SqfDkiFs0Ib1cxGmHCDlxYCDn5ghYiDha4/7nuk+iE2UpGRfZ1s0VWIVlUVTBAiiGzb2/aVKo0IdKXk0xXHorqnEcFGtUvO4WCYba+ZVlXe1b3twfKtW32UHOmefrCiBkRt8nrHeGf/uoldl3gqyXnKwGtEp5ZNKsa8pnooInPrZg39uEXjhlW+RgbbqrEIiIAIiIAIiED5Eij0Hu+B9+e5n9w3MdYO43uWoXLx4YMLKuBUvj2hPS8GAQlYxaBYT5ZR6MUt1+6/O3uFO/mG9GqE1319b3fMHt1yfTXn549OWOB+aEaC4UY0zy1n7+vw28q3rbS0oz89N8390wS3TN5F3GR+fVRvd4oJWXjIFLOxTgQuqpCRckikGZE+GDvzGf/8TbAZLAc3wtz4FtNwmfXMWrbOfJxW+4HoI1LlCvUCwrtqaPc23tOpQsRpZ8Jas2Jiy2tZRFUhkuBPRTQVY9L/eF2MlDN8hvDpwqNrD/PqIpqsmP2T187W4swcR/NN5Jxpx9Isq375iY2pgolgtdAiqWqyIY62tfO2TfPtItF2sYj02ZY2cM1ARGJobucWQ7NGFa8RmxDGSelEmEKMogJnQxvUREAEREAEREAERKDUCRRyj3fbG7PdLx/5sNKukblx7Vf3cgdaFWw1EagNAhKwaoN6ia6zkItbkl1BMDj82lfcjCU7zNL7W6jpMxcdVJSbwDg/LG40rz99bzNj75JkEyvNg5jx34996F6fUdkbKzwzKXiYFR69ezer4tWy4Ain8DJr8vVyy2mnXxBwiDr62MbTqijk9GrfLGWyjogzzASc2siJ57hDKCFlc7qZq1P9cIaNpy9Za4behUW6hfsGn65+dhzvZuIcEVbDto9J+yqnttpYIlIhTsH6ExsQqWZb+h9+VdXViHTC24kUOsb8oOpoaXUVAyl3pN41ce2bN3YIVRRDUBMBERABERABERCBciOQzz0ev5+ve3GG++Mz0yphOnhwJ+83jK2BmgjUFgEJWLVFvgTXm8/FLd/Nf3LSQnfev9LN3H934u7u1JG9811UpflJb/veHe+5F6YsSfuMqAs8sU7cu2fa9KRvuIA/+9Fi74/1kYk7uRpeWaSHkRa3j6XFUcWvFKI0SNeas8IEhWV4ClWkaSFaMVRVyEEYYJ+H92rno46IPKrpP2pEqSGYIKAgniCizNwupnxm+16MRoTOUBOpEKuGmJk8fbtL51ZlE1n1hUVTzbV0V46ZHUJVRVRVdaT8IQ52b9PMV81DEO1mrzm/8H7qaoIVQ1uLpio0JbYYx4SWIQIiIAIiIAIiIAJ1gUDSezzufX5nVQZvfOWTSrt1zkH93WXmCazfXpXQaEINE5CAVcPAS3l1SS9uhewDF8QTrnvdp6QF3+cm9KWfjCtKdA4ixvl3jnfPfbw4WHxq/NMvDfGVBAu94LLtVBW85dVZ7vmISJZaSYYXCDqIHUO6trYIrVbek4r0uWJGJLHvmFsvxuTaBrypPrXoF0Qrxgttmu1CURqRc8OtSt7efdr6anlEoNVkZAuV5hATfbTY9jFiFelqxWpE8FDxcKiZ3O9m0WOkAPaxtMCa3M9i7UshyyFqiii1D82UP6iyCO/1RRIDw9uEF1o/88TDo41oNsZ9Ozb3VUpVhTFMSq9FQAREQAREQAREoDACSe/x/uepKe76l2ZWWgkFuL4/boDEq0pkNKE2CEjAqg3qJbrOpBe3Qjf/9RnL3Ddufivt6+eOHeAr/KVNLPAN1QR/ev8kd78ZDkbbGMvT/r1FYxHJUZVGdM/tlhP++KRFsdU4ki67nUWPkPpEFEkr8+MhkgkvK9KiiD7Z2f7byYYvTHnaZIIC1Rw3bfnCezStNn8sBgzfV3622a3duDXpavOaD4FxdxPg9kDEsfGe5udUU+lx7K9PbTRDdSr/YazOuJjRPvgaISoyIMRhJE9lRlLRyqV9tnmrFwM/WoBYVWFcP23ROrfZzqViNTzjKNyAQEUFTEQq3jMuR2+wYnHVckRABERABERABEQgCYEk93iPTVzggwGiy/vvE3ZzZ+7XNzpZ70Wg1ghIwKo19KW34iQXt6pu9ekmYL1mQlbQsKV54PsHeMPrYFpVxqQ6XfXkx+5vFi0VbYhEXIS/vFePKj9BIOLnPavI9+Tkhe7pyYvcgogpNSbPxRQBovtSzPdsK4IC4g2RR0SL1ZSQQ3Qb7KZuF6nwHkOoKmZUVQsz5MZsfxfzKCPtb5fOLd1AG3pZVFVtVz4sZj/mWtYy8zsLhCqi2IiuIvWyGNF5cCRKjeMI1kTqDTDGjKtS/TLXPulzERABERABERABERCB7ARy3ePx2/sr172RVsyoqlYs2bdIn4pA4QQkYBXOrt59M9fFrRg7TMW3Y/73Vbfl8x0pX4gJj/3wwKKl1SGK3GS527+zMNi4m/OjzHT9yuN3c50twqgYjfURLfSuCVrvzl5pwtYKX0mwmNFCxdhOIqr6dGjuh34dK0QcL+S0a1YjXl2rLFoMs/ho9b9iRZDhkUSEjxdRTDgZaGLVgM4tvF9SoemjxeBe08sgEhFhqiLVcrs5vwlWSyz9sqqNiEEYD4gIVVRebKSqfFXFq++LgAiIgAiIgAiIQNEJZLvH4/f58X993X264rO09f7mK8PcN0b1SZumNyJQCgQkYJVCL5TINmS7uBVzE//6wvRKlS3Os7xqvKqK2V6bvsxdcu8E7wsVXW5zi8r57pj+7rtmSNjSDLqL3Vau3+xTsniigWjDeI75URVLrInbXiKNMLlGyOndvkWFWGXCQm8TrfqbYFVT6VoIenhxTZi72jzPVrlJ81dbhNXaoggo7HezRjv7dD9M1YkUG2pRY4Mtaqw6+jGOcylNI+Jwlhnzv2/i6fi5xnreai8QknZa1YZ5+m7d2lgVyQrzeiotFkv0req26fsiIAIiIAIiIAIiIALJCGS6x+M3+7f+8Y57cerStAWdNrKXu+rEPdKm6Y0IlAoBCVil0hMlsB2ZLm7F3jSqBn7l/153k80kOmikEt569r5u3ODOwaSijFebT9SvHv3QPTh+fuzySG/ClPD00X2KFgEWu6LtE9dt2mqG6xvcglUVpusIWkxbu3GLH2/eus2ixra5z23Al9ywuCbmi4XpO+Mm5tuEp1DbZo1dG4uG4TWm411NtKotAWeJiVWTLR1tooknCCgTbCBdrRgNEWVwlwqRaohPcWxdVobqUYYIoxNMFBz/qQ0mWE2wAT+0qjTOPSLxqLCISMUYcZBjS00EREAEREAEREAERKBuE8h0j/f4xIXuB3emV4nfq1dbd/f3Rtt9x851e6e19fWWgASsetu1+e9Ypotb/kvK/Q0iko77y2tpqYQIMPeft7+Prsm9hPzmeHLSQnf5g5PM9Dz+Zh8h66v79LJQ2d7eGym/pZfH3ET7EF5MRboKD6U1PrqKyoBVba2s7zFRZ0CoIqoKc3UM7su1rTFRk0qAky2CDdEKgTAa3p0vG4zrK6LWjPF2sYoqmcWsipnvNml+ERABERABERABERCB6iMQd49HFfNDr37ZzV+1IbViHopj68KDcTURKFUCxc+dKtU91XaVFAGMwn98+GBHudagEYlEGOt95+1X5WqBwTKD8VG7d3P79G3v/vj0VHfve3N9dFPwGeMVFtlyw8sz3Y2vzHSHWBTYV/ft5cYO6lS2N/bLLYJqqvmVTbPUv6mL13mTddIA12/+PIwt79cYxmPujWjiq/91benT/7rbH8py8qkKgwtSLhEGqbaI0ToRbaScVqXheeZN+bdHriEK4n1WTsb1VeGn74qACIiACIiACIhAfSVwy2uz0sQr9vP/WbEriVf1tcfrz34pAqv+9GWV9yROna/yQrMsgBv3H931gXt0woK0uagSd++5+7m2zRunTS/WG0zE/2BC1rMfLc66SLyWDhrU0R0xtKs7ZEhn186itOpTC4STKSaaYEI/c2nFwOtMkWr57D9VH/fo2caGtj41DdGqb4cWNWIYn8921uS8m82biujDD02kCiou4pG2KkNkYNJt69yqidu7dzs3vHdb86xq46OsiCpUEwEREAEREAEREAERKG8C0Xu8Rq07uoP/+JL7LPRgelS/9u6uc0aX7QPl8j5C6tbeS8CqW/1VrVsbvbj17NmzWtfHwglfPfWmN90H5uUTbnua8HHbt0ZWm4jFut4z4+s/PTfNvWpm70ka4sCBAzu6A2zgdV3JDUeoWm4RZoFINd0iqgJz+aoKJwE3DORJSUOsCkSrPmYgvxMGS2XaqAY4c+n6lJE9KYCkXiJiVaXhhYZXVYVgVSFaYdxfrhFsVWGp74qACIiACIiACIhAfScQvce7dfwad+vrs1K73cB+rj96/oH+IWhqol6IQIkSkIBVoh1TG5sVvbjVhIDFfpK+d/INb7hP7GY/3AabB9Id3x5Z7ZXPEHb++eYcd/9789xaS2NM0gIvocD0mnH/Ti1rzUh909bP3eLVm9xCM4ifu3KD+9Qq080xvyrS0Gbb62IJVbDpYJE93kfJeyi1drtbxA+RVeUsVlGCeNp2YZAUQIQqIqyqWg2w0c4NfKoljPc0U03EQVIvG1kqppoIiIAIiIAIiIAIiIAI5CIQvseb/slsd9LtU9OKAH3NfID/52RVHczFUZ+XBgEJWKXRDyWxFeGL29y5c11NCVjsPAaCJ1//hgkwG9NYUIXub2fuY55JrdOmV8eb9SZePfzBAhvmu3dmr0j5ZDW2iJekUTOkbfVq18wbwRMV075FEy/4kH7YzqoGYpbdzKKVSE/kNQFKDXytQdsje03UDqIHA+tcv5kKhRVVChmvsYpzRFNR5W/5uorxYqsCuMxeF7sR6bNLl5ZeMKnwq2rldjM/pU6WrlaO0T5BJNtMn2653ke0TV9iHmEmVC0pgpE9RQxIs0QcHNajohog3Dn+1ERABERABERABERABESgEALhe7ybnnzb/ealJWmLefkn41wfexitJgJ1gYAErLrQSzW0jeGLW00LWOwiHkyn3/xWJRGruQk+V5+yp8OIvaYaUWHPf7zYPf3hYl91L1yho6a2oabWg3CCUDXQIsgGmv/YABtjtN7bUgDLzfAbkQoxkGp/n65Y72Yvq4hgm00k27L1aU+rqtI//Tu2cLtaBBtRhohUQ0206mnCZzlHsVWFp74rAiIgAiIgAiIgAiIQTyB8j3fMbx9yk1fvqOM2ZpeOlvEyKv6LmioCJUhAAlYJdkptbVL44lYbAhb7PW/lZ17EQjCIth8cPMBddNigGjcB32AGh+/OWeFem7HMvW4DBtymc9S5RiQPwgniFEb5Pg3QhJMebctPONlikW6IVERTzTDhlDRSvMEQUcOGlsXoZPiS+rc7hvY92vqUyzYWjacmAiIgAiIgAiIgAiIgAtVNIHyP1+O8f7iGZuIetP/7xt7u6BoMEgjWq7EIFEpgh/xa6BL0PREoIoGe7ZpbBcL93Xduf9dNiBi7X/fiTPfOrJXuD6fsUaNhrqT8jdmlkx/Y1ZUWnTVx/moTshjM78iGWRadUwoNM/XuJpgQPdW7gw027mPj/h1b+rTGcoqo+vyLbd4T7FMTQ2eZDxgRVPTTJzbMNfFqy+fFVSHxqyJ6jWiqwCOMsaoBlsKZoW0QAREQAREQAREQAREIE+jYsrE7bNcu4Ul6LQIlT0ACVsl3UfltIB5Ld1sZ158/NNndZ8bq4fa2eVMdce0r7keH7uLOOah/rZhZ42c1dlAnPwTbRjXFeWaePtciyBBHGEhFw69qxfpNJnpt8elnG2w+hJWkDbP4Vk0b2dDQj1vbGBP1Di3NW8v+6PC6c+umrnubZq5b26aulaUDlpM/1dqNWzx3oqkC7rzGwH7eig1us0VaFbulItm2p1qSBji4a0svqspcvdi0tTwREAEREAEREAEREIHqIHDokC7yWq0OsFpmtRKQgFWteLXwQglgcP4Hq4YxzHyCfv34x25rSPTB4PwPT091j5jh+m9P3N2N6NOu0NUU7XtsL/5RDLka6WsIWYhezrSsQM4iLbGhRfFgno5I0tgqzZWTGBXHbY0JVPNNGEQcnG/iIGM/rKp4XczqiuH1E03Vy6IBiV7ra2mXVFkkog2fMCLcyimSLcxFr0VABERABERABERABOoHgQPM/0pNBOoaAQlYda3Hymh7EW/OPqCf26NXW/fDO8f7SoXh3Z+6eK07+YY33Al7dncXHT6oRtMKw9uR72uidBhaW2RVuTdM0xev2eQ9qGZYRT9S/LxYZVUpMc6n8mJ1to4WyTagU4uUeT2G6v3tfReLapNIVZ3ktWwREAEREAEREAEREIHaJHDAgA61uXqtWwQKIiABqyBs+lJNEti7dzv31IVj3NXPTHO3/Wd2moE6UUsPWSTWYxMXulNH9nI/OmQXn1JXk9undeUmQNQZKX6YpWOaPnPJej/+xN6v3VS9IhW+YL0tggoD+37bB6KqEK7aNm+ce+M1hwiIgAiIgAiIgAiIgAjUIwL4tGJJoiYCdY2ABKy61mNlur34QP3q+N3cV4b3cJc9MMl9tHBNGglSDP/55qfeM+u0kb3dGaP7WCRN7nS+tIXoTZUJrPpss1XyM6N0E6kwS6fKH5X95piRejgNtMoriiygq0VM9WrfzBvVY1xP+l/fjpjYt3AYVJZ7KmYEl96KgAiIgAiIgAiIgAiUMYG9LMNFTQTqIgEJWHWx18p4m/e0i+0j5x/gbn19lvvf52e4dZHonY1bvnB/f322Hw4c2NGdbkLWYbt2Nm+pncqYWnF3fcPmz80kvaKqHyLVLBOsgup+K8y0vjpaZzP279mumethwlQP86DyYpW9ZhqeVHiQqYmACIiACIiACIiACIiACOQmMKRrq9wzaQ4RKEECErBKsFO0SdkJIEadc9AAd/KIXu76l2ZYWuEct9mM3aPttRnLHAM+R0fu1sUdNaybG92/vcSsKKiY94hURE7NXr7eR099ahFUwetFazbGfKNqk5pbmt8AqvpZWh/pfj1NlOqBYGVjqis2aSiBqmqE9W0REAEREAEREAEREAERqCCA76uaCNRFAhKw6mKvaZs9gfYtGrsrjhnqvnVgP4vGmu7ueXee+zxUrTDAtGzdJvevtz71Qwf7zjF7dHOHD+3iRvZrX/bCCN5Uc0ykmrponcMUf+qiNW7a4grhCn+xYjf4D9herRHBKqjc2M1SAHfaqUGxV6fliYAIiIAIiIAIiIAIiIAIRAgoAisCRG/rDAEJWHWmq7ShmQh0a9PMXXXiHu774wa6f741x93zzly38rMtsbMvtxS32y1iiwFz7wOtfOwhQzqbmNXB9e3QvF56JVHpj9Q+IqhmLfvMBjNSx0zdhurwpmpoQlRvY9m/o0VUdcYsnciqiugqmabHHpaaKAIiIAIiIAIiIAIiIAI1QgBrjnb2UFlNBOoiAQlYdbHXtM2xBHqZefdlR+3qLjpskHti0kIvUn0wd1XsvExcb2lyT3+42A+8b9u8kRtuHlvDrerhUKvMQXQQy9y5xCODEKhWb9jiFqza6Bat2eDmrdzgK/758crPHOl/azYWv9Ifxum+qp+l/VHhry+V/uw1zBrJc4xDSk0EREAEREAEREAEREAESoYA/rGD7D5HTQTqKoEGdvNbDYlCdRVHeW/3vHnzXK9evTyEuXPnup49e9Z5IJiLPzV5kXty8kI3cd7qvPenccOdvDiDUEOkV3fzY2LctY09uWje2ESvxq5Ns0ZFFbk4JT8zcW2tiU4IUyutsh/V/YgqI5Jq6dpNbqmlRfqxvV60eqPbsOXzvPct1xcaWEZfd9vXPhZNVTEgUlHdz3yqTKRq3lj6dy6G+lwEREAEREAEREAEREAEapNA9B6vW/ceRb13qc1907rLj4DuQMuvz8tqjxGezhs3wA+IWY9NWOCen7LETZi3yiWRbjGHn7JorR8ygUPoad20kU9JbGZpiQg7BG0Rmks6HRFcGM/j8IRH11YG857a8jlC1VYvVm2y9Ww0EYqqiuttiLHyyrT6okzvZKHE5MJj6DjYxoNtzGv2R00EREAEREAEREAEREAERKB+ECj17JL6QVl7UV0EJGBVF1ktt+QIIGb98NBd/ICx+8tTl7oXpi5xb89a4aOZCt1ghDAipRhKuTXa2bypLHIKDv0xUMeXCkN1G7ex9Ek1ERABERABERABERABERABERABEShVAhKwSrVntF3VSqBjyybupBE9/UDK3vxVG9z4T1f5YaJFZ81Yus7S9goXpIjKShLhVcydZJ3sV/c2TV1PE6p6tbOhfTM/xp+K9EciwdREQAREQAREQAREQAREQAREQAREoK4RkIBV13pM21t0Ag1M+elpYg/DcXt298tH1KJiIZX6ZpqYNd+M0Rea19QCE7oY4z+VzXeqacOds36ez060atrQ+221sygp0hI7mUhFyh8DglVXE6y62dC5VVOHZ5eaCIiACIiACIiACIiACIiACIiACNQ3AhKw6luPan+KQgBRC3GIYXT/DrHLxLOKKK0Kk/Ut3sMK8/X15mu1xTyu1pkJO35X3vfK3uNr1dDS+PDFIhKKMX5ZzRrv5Jo12tk1MdGrRZOGrqUNiFaMW9pYFf1i8WuiCIiACIiACIiACIiACIiACIhAGRGQgFVGna1dLS6BpiY6dW3D0LS4C9bSREAEREAEREAEREAEREAEREAEREAE0ggo3ygNh96IgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiUGgEJWKXWI9oeERABERABERABERABERABERABERABERCBNAISsNJw6I0IiIAIiIAIiIAIiIAIiIAIiIAIiIAIiECpEZCAVWo9ou0RAREQAREQAREQAREQAREQAREQAREQARFIIyABKw2H3oiACIiACIiACIiACIiACIiACIiACIiACJQaAQlYpdYj2h4REAEREAEREAEREAEREAEREAEREAEREIE0AhKw0nDojQiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQKkRaFhqG6TtqT0CW7duTa184cKFqdd6IQIiIAIiIAIiIAIiIAIiIAIiUBwCXbt2dQ0b6la8ODS1lHIioLOmnHo7x74uXbo0NcfIkSNTr/VCBERABERABERABERABERABESgOATmzp3revbsWZyFaSkiUEYElEJYRp2tXRUBERABERABERABERABERABERABERCBukigwTZrdXHDtc3FJ7Bx40Y3adIkv+BOnTplDWslxTCI0nr77bddt27dir9BWmJiAuqPxKiqfUb1RbUjzmsF6o+8cFX7zOqPakeceAXqi8SoamRG9UeNYE68EvVHYlTVPmN97YuaTCHEJmbRokW+r2pyvdV+cGgFZUlAKYRl2e3xO920aVO37777xn+YZSrilUJgswCq4Y/UHzUMPMvq1BdZ4NTCR+qPWoCeZZXqjyxwavgj9UUNA8+xOvVHDkA1/LH6o4aBZ1md+iILnCwf4bWle7UsgPRRnSKgFMI61V3aWBEQAREQAREQAREQAREQAREQAREQAREoPwISsMqvz7XHIiACIiACIiACIiACIiACIiACIiACIlCnCEjAqlPdpY0VAREQAREQAREQAREQAREQAREQAREQgfIjIAGr/PpceywCIiACIiACIiACIiACIiACIiACIiACdYqABKw61V3aWBEQAREQAREQAREQAREQAREQAREQAREoPwISsMqvz7XHIiACIiACIiACIiACIiACIiACIiACIlCnCEjAqlPdpY0VAREQAREQAREQAREQAREQAREQAREQgfIj0GCbtfLbbe2xCIiACIiACIiACIiACIiACIiACIiACIhAXSGgCKy60lPaThEQAREQAREQAREQAREQAREQAREQAREoUwISsMq047XbIiACIiACIiACIiACIiACIiACIiACIlBXCEjAqis9pe0UAREQAREQAREQAREQAREQAREQAREQgTIlIAGrTDteuy0CIiACIiACIiACIiACIiACIiACIiACdYWABKy60lPaThEQAREQAREQAREQAREQAREQAREQAREoUwISsMq047XbIiACIiACIiACIiACIiACIiACIiACIlBXCEjAqis9pe0UAREQAREQAREQAREQAREQAREQAREQgTIlIAGrTDteuy0CIiACIiACIiACIiACIiACIiACIiACdYWABKy60lPaThEQAREQAREQAREQAREQAREQAREQAREoUwISsMq047XbIiACIiACIiACIiACIiACIiACIiACIlBXCEjAqis9VULbOW7cONegQYNEQ5LN/vDDD925557rBg4c6Jo1a+Y6derkDjroIHfjjTe6rVu3JllEWc/z6aefuksuucTtuuuurkWLFq59+/Zu5MiR7o9//KP77LPPyppNMXY+6bHOeZGrPfXUU+7EE090PXv2dE2aNPFj3jO93NuSJUvcY4895n7xi1+4o446ynXs2DF1jTn77LPzxlMM1pw/f/jDH/z5xHnVsmVLf55xvnHe1edWjP74xz/+kerDXOcR8+Zq5dwf77//vvvtb3/rz41evXr56wfH46BBgxznx6uvvpoLX9rnOj/ScOT1phh9oXMjL+QZZ16zZo2766673MUXX+zGjh3rf0e2adPGNW7c2HXu3Nnxd/n3v/+9W758ecZlhD/QeRGmkf/rYvSHzo38uesbIlB2BLapiUCeBOxHwjY7URINuRZ98803b7Mb+YzLGj169LZly5blWkzZfm43/Nvsx1pGfoMHD942c+bMsuVTjB1PeqxzXmRqX3zxxbZzzjknYz+xDj5nvnJt2TifddZZibEUi/WMGTO2cf5k2i7Ou8cffzzxdtW1GTPtN9OT9sff//73jPyiy2febK2c+8Me6CTieMYZZ2zbtGlTNoz+GlOMa1G59kex+kLnRtbDNPGHzz77bKJzwx6IbDNxKuNy9XcjI5q8PihGf+jcyAu5ZhaBsiTQ0H5EqolAQQT22WcfZ39oCvouX3r66aed/ZB29sPBdenSxV1xxRVu1KhRbsWKFe5vf/ube+CBB9ybb77pI1ZefPFFt9NOOxW8rvr4xQkTJrivfvWrPsqKJ/GXXXaZO/jgg92GDRv8E0kYTp061R1zzDHunXfe8dEj9ZFDTe3Teeed577//e9nXB3Rb5naz3/+c3fTTTf5j4cPH+4uvfRSN2DAAGfion86PH78eP850Ye//vWvMy2mbKYTYUJE4TPPPJP3PheD9bp169yxxx7rzx824Lvf/a479dRTfYQo16KrrrrKrV692p1yyinuP//5j9tjjz3y3s669IWq9Eewn1zvu3fvHrytNCYqMVMr9/6YP3++RwM/jrkxY8a43r17u88//9wff1dffbVjnjvuuMNHLd95552ZUDqdHxnRJPqgmH0RrFDnRkCisDHXJ377jBgxwvG6W7du/nflvHnz3H333ed/S9qDUHf88cf730Jx12udF4Wxj/tWMfojWK7OjYCExiIgAmkEylK2005XiUAQgZUt4iTXCrZs2bLNUgb9k7PWrVtv42lutJlYkHqydtttt0U/Lvv3Fhrv+TRs2HDbG2+8UYmHhc2n+F155ZWVPteEZATsguk5/vKXv0z2hchc06dP30YfsRwTfbdZGlTaHOvXr/fT+Zz54s6FtC/U0zeWOrjt0Ucf3bZo0SK/h7NmzUodv0kjforFmr4O+p3zKNo434I+tRun6Mf14n0x+iP8JJ3+LLSVe3/YQ4htd9999zZLqY9FuHTp0m2WSpg6Zl955ZXY+XR+xGLJa2Kx+kLnRl7YM86c6ZwIf+HBBx9MnRuWsh/+yL/WeVEJScETitEfOjcKxq8vikDZEHBls6fa0aIRKIaAdc8996R+UFg0Q+y2cWPfrl07P9+wYcNi5ynXiW+//XaK3/e+971YDPZ0fptFsfj54Lh58+bY+TQxO4FAyChUwAoLsRatE7sypgfrOf/882PnKbeJhQhYxWDNedK2bVvfH5w/nEdxjfMu6LN33303bpZ6Na2Q/ijGjYj6I9lhhPgbHI8/+tGPYr+k8yMWS9EnJukLnRtFx551gUOGDPHnB6mE0abzIkqk+t9n6w+dG9XPX2sQgbpOQDlZ9otPreYJPPTQQ6mVZjJobt68uU+RY8bJkyc7e0qW+k65vwjz++Y3vxmLg5TLM88803+2cuVK99JLL8XOp4nVR8D+QLiHH37Yr8B+sDnzdItdGdPNb8l/Rt/yPbX8CBSLNefJqlWr/Mot8itj6nL4ukW6s1r1EFB/JOOKWXXQSE2ONp0fUSLV9z5XXxRrzTo3kpMMUvw3btyY9iWdF2k4auxNpv4o1gbo3CgWSS1HBEqTgASs0uyXer9VQcUkbtq7du2acX8t2iv12WuvvZZ6Xe4vAn78CMD3IVMTv0xkama6Ra14bxrWFu6LuLUHn+PbMXv27LhZNC0LgWKxDs4tVhX0Sdxq8QAMfoTr2hRHqDjT1B/JOFqkWmrGOL9InR8pPNX+IldfFGsDdG4kI/nxxx+7Dz74wM/Mg6Rw03kRplEzr7P1R7G2QOdGsUhqOSJQmgQkYJVmv9SJrZoyZYrbd999XatWrVzTpk0dJrwnnHCCu/322515XGXcBwx5uUmnRX9MRL8U/pw/emoVBAIW5iPmzIsnIxbxy4gm7w/uvfdeHyXVrFkzf8zvsssujggdTL0ztaCf+DzcF3Hzhz8Pfy9uXk2rTCDMLMyy8pzpfRH+HvOG32dbDucdRvzR7/gJ+q8SASLWKNZBeXtL4/HRiBgnB6bYlb6wfYL6IxOZ9Okvv/xyakLccZuUIwsJfz/8PT4Lvw/Px2fhVs7nR66+CHPitc6NKJGqvzevSR+1f80113iDdwoe0C644IK0hSc9nvlS+HgPf4/Pwu/D8/FZuJXreZG0P8KseK1zI0pE70VABCAgAUvHQcEEFi9e7Mz7xSFIWelufyPyyCOP+Jv6vfbaK+0PengliFdBilS2ylN8h2omQZs7d27wsqzHhMBTUYeWi595X6WiRMSvaofNRx995KZNm+bgzzFvZuterD3kkEPcV77yFV+VLrqGMPNcfaVjPUovv/fFYh0sh+gq88LKuhFBn5mJtr8GZp25zD/kpn7JkiX+4cby5cvdW2+95X7zm984RPgbb7wxIx31R0Y0qQ+o5Pu73/0u9Z7qtNEWcGR6Va5FwXJ0fkQJV7xP0hfRb+rciBIp7P0//vEP16BBAz9wfFphA3fxxRc7fqvSLrnkEveNb3wjbeHB8cxEnRdpaKr8ppD+iK5U50aUiN6LgAhAIHPohviIQAYCpCcceuih7uijj3Z77rmn69Chg1u7dq17//33/Y0IT6K42aessZmN+3Lf4UUxb9BatmwZvIwdByk6fIhooOY864BDLn7MB0MzxBe/AFqeY7zYKL/NMc+TVZgjWPDD6oYbbnDcjONbRfThs88+6xo1apRag471FIpqf1Es1sFykp5bwY5xfWrSpEnwVuPtBPr37++s8pfbb7/9Ug8kPvnkE3f//ff7EvcIwueee66/6TznnHMqcVN/VEJSacK1117r/9byAWI66a3RFnBkeq5jO9vf3WA5uZbBeqLLKYfzI0lfwIamc6OCQ3X/zwNV/laPGjWq0qqC45kPch3T0eM5vLBgObmWwXeiyymH8yLMKlt/BPPp3AhIaCwCIhBHQAJWHBVNy0oAw+K4yIQxY8Y4q+bivvvd77rbbrvNP/W68MILXdTgOGyiSTpJthb+w75hw4Zss5bNZ/nwA0rAUPwKO0RIcYo73g8//HD3wx/+0B111FFu/PjxXtC6/vrrnVUAS60on74K+okvq69SCBO/KBbrYDm5rk1smPose/cgppBmS1REuJF6/rWvfc099thjXtwi5fyiiy7yQnHUE1H9ESZX+TVC+s9+9jP/QefOnR3XoLgWcOSzXMd2tuM6WE6uZbCebMvh8/rWkvYF+61zo/i9/+Uvfzkl3vI3lGIGVvHaPfjggz7y6k9/+pM79thj01YcHM9MzHVMZzueg+XkWgbrybYcPq8vrZD+YN91btSXI0D7IQLVR0AphNXHtlaXvHXr1lQodRBSXciYEOBoi7uZD+Yh+uTmm29OeQXwwyHqcYJfVtDCZqfBtPCY1MSg4T2k5rzfWMAhFz/mCxiKX0Atv3G24x1Pn/vuuy/1w/cvf/lL2sJ1rKfhqNY3xWIdLCefc4sd0/lVuXvbtGlTSbwKz8XN5C9/+Us/CY+UW265Jfyxf63+qIQkNeHDDz/0N3v8veemmJt1rklxLeDIZ7mO7eBvBvNGj+tgObmWwXezLYfP61PLpy/Yb50bxe99/lYPGzbMD4jkp556qn+Aii8rUZ9ESUd/0wbHM1uT65jOdjwHy8m1DNaTbTl8Xl9aIf3BvuvcqC9HgPZDBKqPgASs6mNbtkvGpPLb3/52av95KhlumL4HLVdaIKlvQUsSmh3MW5/H+fCDQ8BQ/KrnqCDUnWgsGr5YCxYsSK0on74K+okvq69SCBO/KBbrYDm5rk1smPoscfdknJGI3SBCK/q3gi+pP+LRUT3tiCOOcCtXrnQ777yz+/e//521ambAkaXlOrazHdfBcnItg/VkWw6f15eWb18k3W+dG0lJZZ/vjDPOcKeccorDn+z888/350zwjeB45n2uYzrb8RwsJ9cyWE+25fB5fW/Z+iPpvuvcSEpK84lA/SQgAat+9quvTIcXVVUHQnkLaUOHDk19LRqBFTbKDKoRpmaOvAgbbAaGyZFZyu4tT/qo4kXLxY+bm+DHkvhV36GS6XjXsV59zKNLLhbrYDmcN6tWrYquJu19cH3q1KlTWlpI2kx6k5UAaW/B9Sz6t4Ivqj8q40MkP+yww7xYjvh36623+kisynPumBJwZEquvxvBcc280b8bwXJ0fkDH+T7Ity8qvpn7f50buRklnYPoKxrH7ZNPPpn6WnA8M0HnRQpLtb/I1B9JV6xzIykpzScC9ZOABKz62a9+rzCcrupAKG8hLagyGPddokuCH8VTpkyJmyU1Lfz5rrvumppe7i8CFkT8kD6SqYlfJjLFnZ7peA8LW+G+iFt7+POgf+Pm07R4AsVinXQ5nHd4rNDUX/F9knRqpvOH76s/0ilSgZaIT1KiaKQtn3nmmekzxbxLypGvZrsWJV1OOZwfhfZFTPdknKRzIyOavD7gIUPQ5syZE7xMfH3hCzovUtiq/CJTf+SzYJ0b+dDSvCJQvwhIwKpf/Vkye0MVwqB17949eJkaH3jggf711KlT3aJFi1LToy/CKSUHHHBA9OOyfR/w42nie++9l5GD+GVEU9QPMh3v/fr1c8HxH+6LuJW/8sorfnKPHj1c375942bRtCwEisU6OLdYVbY+e/fdd1PRjbo2ZemYHB8tWbLEV/JktuBcCX9F/bGDxurVq92RRx7pq/wy9Xe/+537wQ9+sGOGLK90fmSBU8BHVemLpKvTuZGUVO75wtGd4RR9nRe52VXHHJn6I+m6dG4kJaX5RKB+EpCAVT/7tVb3iievpDQE7aCDDgpepsZUJwla1FQzmI6pL6a0NJ76Dho0KPio7Mdhfn//+99jeeD3gHkpDTPNgw8+OHY+TawaASIhnn32Wb8Q/LAQoIJGek8QKs/T2zfffDP4KG3M9ODpLvMHnkBpM+lNVgLFYj1u3DhvIsvKqKaa6Slv+LpVaKp11h0qkw9vuummFOOxY8dW2mv1RwUS/h4ec8wx7v333/cTrrjiCvfTn/60Eq9ME3R+ZCKT//Sq9kXSNercSEoq93z33ntvaqbdd9899VrnRQpFjb7I1B9JN0LnRlJSmk8E6ikB+3GuJgKJCbzwwgvbzFcp4/xWgWWblU3fZqeLH4477rjYeZlvwIABfp7WrVtvs1S4SvN9//vfTy3HRJpKn5f7hDFjxng+Zpq/7Y033qiE4/e//32Kn1X6qvS5JuQm8Mgjj2zbsmVLxhktenDb8OHDU5yvvvrqSvNalOE2+ohzYp999tlmNz9p8/Ce6XzOfNOmTUv7vFzfmDFyiivXlCStWKz/67/+K7VuzqNo43wL+tREl+jH9fJ9vv3B/Ca2ZGXx6KOPbrOy8561efttMw+a2PnLvT+satk2M2xPHZMXXHBBLKdcE3V+5CKU+/Ni9IXOjdyck87Bb8MNGzZknf2aa65JnTsW3Vzpb7rOi6z48vqwqv2hcyMv3JpZBMqWwM6/smY3TmoikIjAlVde6aj+QcnoFStW+BQajMLxYnrwwQfdd77zHffcc8/5ZWGyeP/997t27dpVWjZVkwYOHOjuuusut3HjRnf33Xe7oAzx5MmT3c9+9rNU9BApJNdee63baScFDIZB7rXXXp4RZZvhx5PERo0auenTp/vUEtJLaESuES1CmXW1/AiQrmOilMMzA0NvKgwtX77ccYwSZfitb30r5UXDcfrXv/7VF1AIr6VDhw7OfmC71157zRv+PvHEEz4ijuP+1Vdf9csIoiqIqPjqV78a/nrZvIaPCeTugw8+8AMpekFkGykfnP/BZ4w5/qOtWKxNUPTXLvqabVi4cKGvDLl48WJ3xx13uHPOOcdft5o1a+Z4kty1a9foptT591XtD/po//33d88884wj3YNzZ82aNf4cYNn8LTFhyn3++eee1Z/+9Cd36KGHxnIr9/7gmvDYY495Nocccoi7/PLL3dKlSz1X2EYHrlWcC9Gm8yNKJP/3xegLnRv5c8/0DaLRr7rqKu9HyG9RrjPBb9LHH3/cXXTRRe7mm2/2Xzex3P/m5LdnuOm8CNOo2uuq9ofOjarx17dFoGwIlK10px0viEA4uspOktRTrehrC9HeZiJXznVYGHDqCXx0GbwfOXLkNvuhnnM55ToDEUJEsMWxY5qJV9tM0CpXPFXe7z59+mRkG2Z+0kknZY1MtJv0bSZ2ZV3Wt7/97W3MV64t6bUl4J6JU7FYc97ssssuGfuM844IovraqtofL774YkZ2QR8ybt68+bYbb7wxJ8Zy7o8wrySvuW5lajo/MpFJNj0J//A8cX2hcyMZ6yRzJf0bbdUGt5mYnnGROi8yosnrg6r2h86NvHBrZhEoWwKKwLJfGmrJCQwePNhHTlGdkIgfBiKA7CbEVxa0NAdHUB9P07t06ZJzwSNGjPDlv/HN4qkxkSosm+mXXXaZu+6663zkQ84FlekM9MfXv/513w9ExMGvRYsWbtiwYc7STHyUUJJ+KFN8OXfb0gMdJq9EBxIBZH8pnKUUOhMvnIkb/tilCtjFF1+ciiCMW2jgs2GCrI9aXLt2rbNUFH+OEFFBhCHLYL5ybQ899JCbMGFC4t3PFDxcLNbt27f30XFcj7g24XvDMYDPGVXf8MeiP+trq2p/ENWw2267uW7dunluRN1y7tA/HTt2dKNGjfIRu/j0xfkkRrmWc38QrZZPw/PwwgsvjP2Kzo9YLIknFqMvdG4kxp1zRrOp8B6p/O7hGkPjb2vwm5S/r5deeqm74YYbfFXuTAvUeZGJTH7Tq9ofOjfy4625RaBcCTRAuivXndd+i4AIiIAIiIAIiIAIiIAIiIAIiIAIiIAIlD4BmQqVfh9pC0VABERABERABERABERABERABERABESgrAlIwCrr7tfOi4AIiIAIiIAIiIAIiIAIiIAIiIAIiEDpE5CAVfp9pC0UAREQAREQAREQAREQAREQAREQAREQgbImIAGrrLtfOy8CIiACIiACIiACIiACIiACIiACIiACpU9AAlbp95G2UAREQAREQAREQAREQAREQAREQAREQATKmoAErLLufu28CIiACIiACIiACIiACIiACIiACIiACJQ+AQlYpd9H2kIREAEREAEREAEREAEREAEREAEREAERKGsCErDKuvu18yIgAiIgAiIgAiIgAiIgAiIgAiIgAiJQ+gQkYJV+H2kLRUAEREAEREAEREAEREAEREAEREAERKCsCUjAKuvu186LgAiIgAiIgAiIgAiIgAiIgAiIgAiIQOkTkIBV+n2kLRQBERABERABERABERABERABERABERCBsiYgAausu187LwIiIAIiIAIiIAIiIAIiIAIiIAIiIAKlT0ACVun3kbZQBERABERABERABERABERABERABERABMqagASssu5+7bwIiIAIiIAIiIAIiIAIiIAIiIAIiIAIlD4BCVil30faQhEQAREQAREQAREQAREQAREQAREQAREoawISsMq6+7XzIiACIiACIiACIiACIiACIiACIiACIlD6BCRglX4faQtFQAREQAREoE4R2LJli7vrrrvcWWed5XbddVfXoUMH16hRI9exY0c3YsQId95557nnnnvOffHFF0XbrwYNGjiGcePGZV3m1q1b3WmnnebnZf7Ro0e71atXZ/2OPhQBERABERABERABEah9Ag22Wav9zdAWiIAIiIAIiIAI1AcCDz/8sPvxj3/sPvnkk5y7M2jQIHfNNde4Y445Jue8uWZAjKKNHTvWvfTSS/519D+ENcSr+++/3390wAEHuCeffNK1atUqOqvei4AIiIAIiIAIiIAIlBgBCVgl1iHaHBEQAREQARGoqwSuuuoqd8UVV7jg2dhhhx3mTjjhBDd06FDXtm1bt2LFCjd16lT36KOPumeffdZHYO25557ugw8+qPIu5xKwNm/e7E455RT3yCOP+HURqfXYY4+5Fi1aVHndWoAIiIAIiIAIiIAIiED1E5CAVf2MtQYREAEREAERqPcE7rjjDnfmmWf6/ezUqZO7++673cEHH5xxvydNmuQuvPBCt3z58moXsDZu3OhOOukk98QTT/jtOfzwwx2RYs2aNcu4ffpABERABERABERABESgtAg0LK3N0daIgAiIgAiIgAjUNQILFizwvlZsd/PmzX0KH1FX2druu+/uo7DuvPPObLNV+bMNGzb4KDAivmhHHXWUe+CBB1zTpk2rvGwtQAREQAREQAREQAREoOYIyMS95lhrTSIgAiIgAiJQLwlce+21bv369X7frrzySp8ymGRHd9ppJ3f66acnmbWgedgm/LUC8er4449303d2RAAACqJJREFUDz30/9u7u9AuyzYA4NeLX1iaaVGWxTwZZhaaggd+pcOcycDwIAKVmkfSUdBJdtB2UBAkHUiQB4r4USqISFD4gVA5cUj4QWvootqoDlyRlmIZy973fuC/d8y5Od3+89nzu0F9/s/ndf+uE7m4Pw70WrxqamqKt99+O6qrq+Oxxx6LMWPGxLhx46KysjJblL6xsfG2YvEQAQIECBAgQIDAnQmYQnhnfp4mQIAAAQKFFkjrXT388MPxyy+/ZOtJpdFY9913X9lNuq+Bdfny5VixYkU0NDRksaQphLt37852Q7xZcGnx996mPZaee+ONNyKt96URIECAAAECBAiUT8AUwvJZ+xIBAgQIEBh2As3NzVnxKnVs4cKFQ1K86o76+++/x/Lly6M0WirtPLhjx44YObL3//Z0dHRkRbg0aquqqiqeeOKJrD/t7e3xzTffxKZNm6KtrS3efffdSDso1tbWdv+03wQIECBAgAABAoMkYATWIMF6LQECBAgQKIJAWsNq9erVWVfffPPNeOedd4ak26URWLNmzcoKVV999VUWR1pYftu2bZGmK/bVfv311+zZtGNiTy3tZFhTU5NNSayoqIjvvvsuRowY0dOtzhEgQIAAAQIECAywQN//mxvgD3odAQIECBAgMHwEUtGn1NJUwqFuZ86ciVLxKo28utXiVYr7wQcfjJsVr9L10aNHx3vvvZcOs5FY6VsaAQIECBAgQIBAeQR6H0tfnhh8hQABAgQIEMipQFprqtTuvffe0uGQ/ZtGYqV1uVI7ceJEpDW50mLst9OuXbsWFy5ciCtXrsT169ezV5TenX6cPXs25syZczuv9gwBAgQIECBAgEA/BRSw+gnmdgIECBAgQOD/AuPHj+/8UdqJsPPEEBwsWLAgpkyZEnv27InW1tZsLasvv/wyJk+efEvRpD6kta7S82ndq3/++eemz3UdfXbTm1wgQIAAAQIECBAYEAEFrAFh9BICBAgQIFBMgTTtrtTSaKWhbmmtq507d8Zff/0VBw4ciG+//TaWLl0aaYfBrrH2FGep4PXDDz/0dPmGc3/++ecN55wgQIAAAQIECBAYHAFrYA2Oq7cSIECAAIFCCMycObOzn6dOneo8HsqDtNvg3r17s50IUxxpJNWyZcvi0qVLvYa1du3aSMWrNA1x3bp1cfjw4fjxxx+zYliaOpj+dB2R1XU6Ya8vdpEAAQIECBAgQOCOBRSw7pjQCwgQIECAQHEFnnzyyc6RTceOHYs//vjjrsBIC67v378/lixZksVz+vTpeP7557P1rHoK8Ny5c9HQ0JBd2rBhQ2zdujWee+65bP2sMWPGdD5y8eLFzmMHBAgQIECAAAEC5RNQwCqftS8RIECAAIFhJ5BGK73yyitZv9L6UVu2bLlr+jh27Nj45JNPYt68eVlMjY2NUVNTEz1N/UujtErtpZdeKh3e8G9ph8MbLjhBgAABAgQIECAwqAIKWIPK6+UECBAgQGD4C7z22mtxzz33ZB196623Io1mupWWdvbbtWvXrdx62/eMGzcuPvvss87dAr/44ot44YUXIu0w2LV1dHR0/rx69WrncfeDzZs3dz/lNwECBAgQIECAQBkEFLDKgOwTBAgQIEBgOAukXf8++OCDrItpFNazzz4bqVDUW2tubo7q6urYuHFjb7cNyLUJEybEoUOH4umnn87el9a2evHFF6Nr0aqysrLzW9u3b+887nrw4YcfZgvDdz3nmAABAgQIECBAoDwCdiEsj7OvECBAgACBYS1QW1sbP/30U6QRWO3t7bF48eJs4fSVK1fG9OnT4/7774/ffvstWlpa4tNPP42DBw9mC6J3XQR+MIEeeOCBOHLkSFZcO3/+fDa1cPXq1fHxxx/HiBEj4plnnomnnnoqmpqaIhWq0oLv6fojjzySLeSeRort27cv5s+fH8ePHx/MUL2bAAECBAgQIECgB4H//G8HnX97OO8UAQIECBAgQKDfAmnh9Ndffz1aW1v7fHbGjBnx/vvvZ4WuPm/u44a0FldqafTX559/nh339NfPP/8cixYtiu+//z67/PLLL8e2bduynQfPnDkTVVVVcbOF2tMIrjSS69FHH82erauri/r6+p4+4xwBAgQIECBAgMAAC5hCOMCgXkeAAAECBIossGrVqkgjnD766KNYs2ZNTJs2LSZOnBgjR46MSZMmxezZs+PVV1+No0ePxtdffz0gxav+eKfpjunbjz/+ePZYmi6Y4klt1qxZkYpY69evj4qKihg1alQW89y5c7OpjidPnsxGZGU3+4sAAQIECBAgQKCsAkZglZXbxwgQIECAAAECBAgQIECAAAECBPorYARWf8XcT4AAAQIECBAgQIAAAQIECBAgUFYBBayycvsYAQIECBAgQIAAAQIECBAgQIBAfwUUsPor5n4CBAgQIECAAAECBAgQIECAAIGyCows69d8jAABAgQIECDQTaClpSX+/vvvbmf7/vnQQw9F+qMRIECAAAECBAgMfwGLuA//HOshAQIECBC4qwWmTp0abW1t/Y6xrq4u6uvr+/2cBwgQIECAAAECBPInYAph/nImYgIECBAgQIAAAQIECBAgQIBAoQSMwCpUunWWAAECBAgQIECAAAECBAgQIJA/ASOw8pczERMgQIAAAQIECBAgQIAAAQIECiWggFWodOssAQIECBAgQIAAAQIECBAgQCB/AgpY+cuZiAkQIECAAAECBAgQIECAAAEChRJQwCpUunWWAAECBAgQIECAAAECBAgQIJA/AQWs/OVMxAQIECBAgAABAgQIECBAgACBQgkoYBUq3TpLgAABAgQIECBAgAABAgQIEMifgAJW/nImYgIECBAgQIAAAQIECBAgQIBAoQQUsAqVbp0lQIAAAQIECBAgQIAAAQIECORPQAErfzkTMQECBAgQIECAAAECBAgQIECgUAIKWIVKt84SIECAAAECBAgQIECAAAECBPInoICVv5yJmAABAgQIECBAgAABAgQIECBQKAEFrEKlW2cJECBAgAABAgQIECBAgAABAvkTUMDKX85ETIAAAQIECBAgQIAAAQIECBAolIACVqHSrbMECBAgQIAAAQIECBAgQIAAgfwJKGDlL2ciJkCAAAECBAgQIECAAAECBAgUSkABq1Dp1lkCBAgQIECAAAECBAgQIECAQP4EFLDylzMREyBAgAABAgQIECBAgAABAgQKJaCAVah06ywBAgQIECBAgAABAgQIECBAIH8CClj5y5mICRAgQIAAAQIECBAgQIAAAQKFElDAKlS6dZYAAQIECBAgQIAAAQIECBAgkD8BBaz85UzEBAgQIECAAAECBAgQIECAAIFCCShgFSrdOkuAAAECBAgQIECAAAECBAgQyJ+AAlb+ciZiAgQIECBAgAABAgQIECBAgEChBBSwCpVunSVAgAABAgQIECBAgAABAgQI5E9AASt/ORMxAQIECBAgQIAAAQIECBAgQKBQAgpYhUq3zhIgQIAAAQIECBAgQIAAAQIE8ieggJW/nImYAAECBAgQIECAAAECBAgQIFAoAQWsQqVbZwkQIECAAAECBAgQIECAAAEC+RNQwMpfzkRMgAABAgQIECBAgAABAgQIECiUwH8BGqvr6bdKnRAAAAAASUVORK5CYII=\" width=\"600\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Els = ['C_Ka','Na_Ka']\n",
"sns.jointplot(data=df[Els], x=Els[0], y=Els[1], kind='kde')\n",
"plt.savefig(f'{\"-\".join([el for el in Els])}_jointplot.png', dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "d1bbb3a9",
"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",
" rubberband_canvas.addEventListener(\n",
" 'dblclick',\n",
" on_mouse_event_closure('dblclick')\n",
" );\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband_canvas.addEventListener(\n",
" 'mousemove',\n",
" on_mouse_event_closure('motion_notify')\n",
" );\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseenter',\n",
" on_mouse_event_closure('figure_enter')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseleave',\n",
" on_mouse_event_closure('figure_leave')\n",
" );\n",
"\n",
" canvas_div.addEventListener('wheel', function (event) {\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" on_mouse_event_closure('scroll')(event);\n",
" });\n",
"\n",
" canvas_div.appendChild(canvas);\n",
" canvas_div.appendChild(rubberband_canvas);\n",
"\n",
" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
" this.rubberband_context.strokeStyle = '#000000';\n",
"\n",
" this._resize_canvas = function (width, height, forward) {\n",
" if (forward) {\n",
" canvas_div.style.width = width + 'px';\n",
" canvas_div.style.height = height + 'px';\n",
" }\n",
" };\n",
"\n",
" // Disable right mouse context menu.\n",
" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
" event.preventDefault();\n",
" return false;\n",
" });\n",
"\n",
" function set_focus() {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'mpl-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" continue;\n",
" }\n",
"\n",
" var button = (fig.buttons[name] = document.createElement('button'));\n",
" button.classList = 'mpl-widget';\n",
" button.setAttribute('role', 'button');\n",
" button.setAttribute('aria-disabled', 'false');\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
"\n",
" var icon_img = document.createElement('img');\n",
" icon_img.src = '_images/' + image + '.png';\n",
" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
" icon_img.alt = tooltip;\n",
" button.appendChild(icon_img);\n",
"\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" var fmt_picker = document.createElement('select');\n",
" fmt_picker.classList = 'mpl-widget';\n",
" toolbar.appendChild(fmt_picker);\n",
" this.format_dropdown = fmt_picker;\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = document.createElement('option');\n",
" option.selected = fmt === mpl.default_extension;\n",
" option.innerHTML = fmt;\n",
" fmt_picker.appendChild(option);\n",
" }\n",
"\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"};\n",
"\n",
"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
"};\n",
"\n",
"mpl.figure.prototype.send_message = function (type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"};\n",
"\n",
"mpl.figure.prototype.send_draw_message = function () {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
" fig.send_message('refresh', {});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
" var x0 = msg['x0'] / fig.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
" var x1 = msg['x1'] / fig.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0,\n",
" 0,\n",
" fig.canvas.width / fig.ratio,\n",
" fig.canvas.height / fig.ratio\n",
" );\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
" 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",
" var img = evt.data;\n",
" if (img.type !== 'image/png') {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" img.type = 'image/png';\n",
" }\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src\n",
" );\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" img\n",
" );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" } else if (\n",
" typeof evt.data === 'string' &&\n",
" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
" ) {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig['handle_' + msg_type];\n",
" } catch (e) {\n",
" console.log(\n",
" \"No handler for the '\" + msg_type + \"' message type: \",\n",
" msg\n",
" );\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\n",
" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
" e,\n",
" e.stack,\n",
" msg\n",
" );\n",
" }\n",
" }\n",
" };\n",
"};\n",
"\n",
"// from 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.key === this._key) {\n",
" return;\n",
" } else {\n",
" this._key = event.key;\n",
" }\n",
" }\n",
" if (name === 'key_release') {\n",
" this._key = null;\n",
" }\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.key !== 'Control') {\n",
" value += 'ctrl+';\n",
" }\n",
" else if (event.altKey && event.key !== 'Alt') {\n",
" value += 'alt+';\n",
" }\n",
" else if (event.shiftKey && event.key !== 'Shift') {\n",
" value += 'shift+';\n",
" }\n",
"\n",
" value += 'k' + event.key;\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
" return false;\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
" if (name === 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message('toolbar_button', { name: name });\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"\n",
"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
"// prettier-ignore\n",
"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";/* global mpl */\n",
"\n",
"var comm_websocket_adapter = function (comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.binaryType = comm.kernel.ws.binaryType;\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" function updateReadyState(_event) {\n",
" if (comm.kernel.ws) {\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" } else {\n",
" ws.readyState = 3; // Closed state.\n",
" }\n",
" }\n",
" comm.kernel.ws.addEventListener('open', updateReadyState);\n",
" comm.kernel.ws.addEventListener('close', updateReadyState);\n",
" comm.kernel.ws.addEventListener('error', updateReadyState);\n",
"\n",
" ws.close = function () {\n",
" comm.close();\n",
" };\n",
" ws.send = function (m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function (msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" var data = msg['content']['data'];\n",
" if (data['blob'] !== undefined) {\n",
" data = {\n",
" data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
" };\n",
" }\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(data);\n",
" });\n",
" return ws;\n",
"};\n",
"\n",
"mpl.mpl_figure_comm = function (comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = document.getElementById(id);\n",
" var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
" function ondownload(figure, _format) {\n",
" window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element;\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error('Failed to find cell for figure', id, fig);\n",
" return;\n",
" }\n",
" fig.cell_info[0].output_area.element.on(\n",
" 'cleared',\n",
" { fig: fig },\n",
" fig._remove_fig_handler\n",
" );\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
" var width = fig.canvas.width / fig.ratio;\n",
" fig.cell_info[0].output_area.element.off(\n",
" 'cleared',\n",
" fig._remove_fig_handler\n",
" );\n",
" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable();\n",
" fig.parent_element.innerHTML =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
" fig.close_ws(fig, msg);\n",
"};\n",
"\n",
"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"};\n",
"\n",
"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"};\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function () {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message('ack', {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () {\n",
" fig.push_to_output();\n",
" }, 1000);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'btn-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" var button;\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" continue;\n",
" }\n",
"\n",
" button = fig.buttons[name] = document.createElement('button');\n",
" button.classList = 'btn btn-default';\n",
" button.href = '#';\n",
" button.title = name;\n",
" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message pull-right';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = document.createElement('div');\n",
" buttongrp.classList = 'btn-group inline pull-right';\n",
" button = document.createElement('button');\n",
" button.classList = 'btn btn-mini btn-primary';\n",
" button.href = '#';\n",
" button.title = 'Stop Interaction';\n",
" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
" button.addEventListener('click', function (_evt) {\n",
" fig.handle_close(fig, {});\n",
" });\n",
" button.addEventListener(\n",
" 'mouseover',\n",
" on_mouseover_closure('Stop Interaction')\n",
" );\n",
" buttongrp.appendChild(button);\n",
" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
"};\n",
"\n",
"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
" var fig = event.data.fig;\n",
" if (event.target !== this) {\n",
" // Ignore bubbled events from children.\n",
" return;\n",
" }\n",
" fig.close_ws(fig, {});\n",
"};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (el) {\n",
" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
" el.setAttribute('tabindex', 0);\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
" 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>"
]
},
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"output_type": "display_data"
},
{
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\" width=\"600\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Els = ['Ga_La','Na_Ka']\n",
"sns.jointplot(data=df[Els], x=Els[0], y=Els[1], kind='kde')\n",
"plt.savefig(f'{\"-\".join([el for el in Els])}_jointplot.png', dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "0135e67c",
"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",
" rubberband_canvas.addEventListener(\n",
" 'dblclick',\n",
" on_mouse_event_closure('dblclick')\n",
" );\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband_canvas.addEventListener(\n",
" 'mousemove',\n",
" on_mouse_event_closure('motion_notify')\n",
" );\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseenter',\n",
" on_mouse_event_closure('figure_enter')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseleave',\n",
" on_mouse_event_closure('figure_leave')\n",
" );\n",
"\n",
" canvas_div.addEventListener('wheel', function (event) {\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" on_mouse_event_closure('scroll')(event);\n",
" });\n",
"\n",
" canvas_div.appendChild(canvas);\n",
" canvas_div.appendChild(rubberband_canvas);\n",
"\n",
" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
" this.rubberband_context.strokeStyle = '#000000';\n",
"\n",
" this._resize_canvas = function (width, height, forward) {\n",
" if (forward) {\n",
" canvas_div.style.width = width + 'px';\n",
" canvas_div.style.height = height + 'px';\n",
" }\n",
" };\n",
"\n",
" // Disable right mouse context menu.\n",
" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
" event.preventDefault();\n",
" return false;\n",
" });\n",
"\n",
" function set_focus() {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'mpl-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" continue;\n",
" }\n",
"\n",
" var button = (fig.buttons[name] = document.createElement('button'));\n",
" button.classList = 'mpl-widget';\n",
" button.setAttribute('role', 'button');\n",
" button.setAttribute('aria-disabled', 'false');\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
"\n",
" var icon_img = document.createElement('img');\n",
" icon_img.src = '_images/' + image + '.png';\n",
" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
" icon_img.alt = tooltip;\n",
" button.appendChild(icon_img);\n",
"\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" var fmt_picker = document.createElement('select');\n",
" fmt_picker.classList = 'mpl-widget';\n",
" toolbar.appendChild(fmt_picker);\n",
" this.format_dropdown = fmt_picker;\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = document.createElement('option');\n",
" option.selected = fmt === mpl.default_extension;\n",
" option.innerHTML = fmt;\n",
" fmt_picker.appendChild(option);\n",
" }\n",
"\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"};\n",
"\n",
"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
"};\n",
"\n",
"mpl.figure.prototype.send_message = function (type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"};\n",
"\n",
"mpl.figure.prototype.send_draw_message = function () {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
" fig.send_message('refresh', {});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
" var x0 = msg['x0'] / fig.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
" var x1 = msg['x1'] / fig.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0,\n",
" 0,\n",
" fig.canvas.width / fig.ratio,\n",
" fig.canvas.height / fig.ratio\n",
" );\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
" 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",
" var img = evt.data;\n",
" if (img.type !== 'image/png') {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" img.type = 'image/png';\n",
" }\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src\n",
" );\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" img\n",
" );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" } else if (\n",
" typeof evt.data === 'string' &&\n",
" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
" ) {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig['handle_' + msg_type];\n",
" } catch (e) {\n",
" console.log(\n",
" \"No handler for the '\" + msg_type + \"' message type: \",\n",
" msg\n",
" );\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\n",
" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
" e,\n",
" e.stack,\n",
" msg\n",
" );\n",
" }\n",
" }\n",
" };\n",
"};\n",
"\n",
"// from 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.key === this._key) {\n",
" return;\n",
" } else {\n",
" this._key = event.key;\n",
" }\n",
" }\n",
" if (name === 'key_release') {\n",
" this._key = null;\n",
" }\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.key !== 'Control') {\n",
" value += 'ctrl+';\n",
" }\n",
" else if (event.altKey && event.key !== 'Alt') {\n",
" value += 'alt+';\n",
" }\n",
" else if (event.shiftKey && event.key !== 'Shift') {\n",
" value += 'shift+';\n",
" }\n",
"\n",
" value += 'k' + event.key;\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
" return false;\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
" if (name === 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message('toolbar_button', { name: name });\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"\n",
"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
"// prettier-ignore\n",
"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";/* global mpl */\n",
"\n",
"var comm_websocket_adapter = function (comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.binaryType = comm.kernel.ws.binaryType;\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" function updateReadyState(_event) {\n",
" if (comm.kernel.ws) {\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" } else {\n",
" ws.readyState = 3; // Closed state.\n",
" }\n",
" }\n",
" comm.kernel.ws.addEventListener('open', updateReadyState);\n",
" comm.kernel.ws.addEventListener('close', updateReadyState);\n",
" comm.kernel.ws.addEventListener('error', updateReadyState);\n",
"\n",
" ws.close = function () {\n",
" comm.close();\n",
" };\n",
" ws.send = function (m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function (msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" var data = msg['content']['data'];\n",
" if (data['blob'] !== undefined) {\n",
" data = {\n",
" data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
" };\n",
" }\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(data);\n",
" });\n",
" return ws;\n",
"};\n",
"\n",
"mpl.mpl_figure_comm = function (comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = document.getElementById(id);\n",
" var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
" function ondownload(figure, _format) {\n",
" window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element;\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error('Failed to find cell for figure', id, fig);\n",
" return;\n",
" }\n",
" fig.cell_info[0].output_area.element.on(\n",
" 'cleared',\n",
" { fig: fig },\n",
" fig._remove_fig_handler\n",
" );\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
" var width = fig.canvas.width / fig.ratio;\n",
" fig.cell_info[0].output_area.element.off(\n",
" 'cleared',\n",
" fig._remove_fig_handler\n",
" );\n",
" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable();\n",
" fig.parent_element.innerHTML =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
" fig.close_ws(fig, msg);\n",
"};\n",
"\n",
"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"};\n",
"\n",
"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"};\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function () {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message('ack', {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () {\n",
" fig.push_to_output();\n",
" }, 1000);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'btn-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" var button;\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" continue;\n",
" }\n",
"\n",
" button = fig.buttons[name] = document.createElement('button');\n",
" button.classList = 'btn btn-default';\n",
" button.href = '#';\n",
" button.title = name;\n",
" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message pull-right';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = document.createElement('div');\n",
" buttongrp.classList = 'btn-group inline pull-right';\n",
" button = document.createElement('button');\n",
" button.classList = 'btn btn-mini btn-primary';\n",
" button.href = '#';\n",
" button.title = 'Stop Interaction';\n",
" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
" button.addEventListener('click', function (_evt) {\n",
" fig.handle_close(fig, {});\n",
" });\n",
" button.addEventListener(\n",
" 'mouseover',\n",
" on_mouseover_closure('Stop Interaction')\n",
" );\n",
" buttongrp.appendChild(button);\n",
" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
"};\n",
"\n",
"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
" var fig = event.data.fig;\n",
" if (event.target !== this) {\n",
" // Ignore bubbled events from children.\n",
" return;\n",
" }\n",
" fig.close_ws(fig, {});\n",
"};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (el) {\n",
" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
" el.setAttribute('tabindex', 0);\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
" 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>"
]
},
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"output_type": "display_data"
},
{
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\" width=\"600\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Els = ['O_Ka','Na_Ka']\n",
"sns.jointplot(data=df[Els], x=Els[0], y=Els[1], kind='kde')\n",
"plt.savefig(f'{\"-\".join([el for el in Els])}_jointplot.png', dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "db051df5",
"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",
" rubberband_canvas.addEventListener(\n",
" 'dblclick',\n",
" on_mouse_event_closure('dblclick')\n",
" );\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband_canvas.addEventListener(\n",
" 'mousemove',\n",
" on_mouse_event_closure('motion_notify')\n",
" );\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseenter',\n",
" on_mouse_event_closure('figure_enter')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseleave',\n",
" on_mouse_event_closure('figure_leave')\n",
" );\n",
"\n",
" canvas_div.addEventListener('wheel', function (event) {\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" on_mouse_event_closure('scroll')(event);\n",
" });\n",
"\n",
" canvas_div.appendChild(canvas);\n",
" canvas_div.appendChild(rubberband_canvas);\n",
"\n",
" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
" this.rubberband_context.strokeStyle = '#000000';\n",
"\n",
" this._resize_canvas = function (width, height, forward) {\n",
" if (forward) {\n",
" canvas_div.style.width = width + 'px';\n",
" canvas_div.style.height = height + 'px';\n",
" }\n",
" };\n",
"\n",
" // Disable right mouse context menu.\n",
" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
" event.preventDefault();\n",
" return false;\n",
" });\n",
"\n",
" function set_focus() {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'mpl-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" continue;\n",
" }\n",
"\n",
" var button = (fig.buttons[name] = document.createElement('button'));\n",
" button.classList = 'mpl-widget';\n",
" button.setAttribute('role', 'button');\n",
" button.setAttribute('aria-disabled', 'false');\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
"\n",
" var icon_img = document.createElement('img');\n",
" icon_img.src = '_images/' + image + '.png';\n",
" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
" icon_img.alt = tooltip;\n",
" button.appendChild(icon_img);\n",
"\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" var fmt_picker = document.createElement('select');\n",
" fmt_picker.classList = 'mpl-widget';\n",
" toolbar.appendChild(fmt_picker);\n",
" this.format_dropdown = fmt_picker;\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = document.createElement('option');\n",
" option.selected = fmt === mpl.default_extension;\n",
" option.innerHTML = fmt;\n",
" fmt_picker.appendChild(option);\n",
" }\n",
"\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"};\n",
"\n",
"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
"};\n",
"\n",
"mpl.figure.prototype.send_message = function (type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"};\n",
"\n",
"mpl.figure.prototype.send_draw_message = function () {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
" fig.send_message('refresh', {});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
" var x0 = msg['x0'] / fig.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
" var x1 = msg['x1'] / fig.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0,\n",
" 0,\n",
" fig.canvas.width / fig.ratio,\n",
" fig.canvas.height / fig.ratio\n",
" );\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
" 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",
" var img = evt.data;\n",
" if (img.type !== 'image/png') {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" img.type = 'image/png';\n",
" }\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src\n",
" );\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" img\n",
" );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" } else if (\n",
" typeof evt.data === 'string' &&\n",
" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
" ) {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig['handle_' + msg_type];\n",
" } catch (e) {\n",
" console.log(\n",
" \"No handler for the '\" + msg_type + \"' message type: \",\n",
" msg\n",
" );\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\n",
" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
" e,\n",
" e.stack,\n",
" msg\n",
" );\n",
" }\n",
" }\n",
" };\n",
"};\n",
"\n",
"// from 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.key === this._key) {\n",
" return;\n",
" } else {\n",
" this._key = event.key;\n",
" }\n",
" }\n",
" if (name === 'key_release') {\n",
" this._key = null;\n",
" }\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.key !== 'Control') {\n",
" value += 'ctrl+';\n",
" }\n",
" else if (event.altKey && event.key !== 'Alt') {\n",
" value += 'alt+';\n",
" }\n",
" else if (event.shiftKey && event.key !== 'Shift') {\n",
" value += 'shift+';\n",
" }\n",
"\n",
" value += 'k' + event.key;\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
" return false;\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
" if (name === 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message('toolbar_button', { name: name });\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"\n",
"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
"// prettier-ignore\n",
"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";/* global mpl */\n",
"\n",
"var comm_websocket_adapter = function (comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.binaryType = comm.kernel.ws.binaryType;\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" function updateReadyState(_event) {\n",
" if (comm.kernel.ws) {\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" } else {\n",
" ws.readyState = 3; // Closed state.\n",
" }\n",
" }\n",
" comm.kernel.ws.addEventListener('open', updateReadyState);\n",
" comm.kernel.ws.addEventListener('close', updateReadyState);\n",
" comm.kernel.ws.addEventListener('error', updateReadyState);\n",
"\n",
" ws.close = function () {\n",
" comm.close();\n",
" };\n",
" ws.send = function (m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function (msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" var data = msg['content']['data'];\n",
" if (data['blob'] !== undefined) {\n",
" data = {\n",
" data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
" };\n",
" }\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(data);\n",
" });\n",
" return ws;\n",
"};\n",
"\n",
"mpl.mpl_figure_comm = function (comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = document.getElementById(id);\n",
" var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
" function ondownload(figure, _format) {\n",
" window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element;\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error('Failed to find cell for figure', id, fig);\n",
" return;\n",
" }\n",
" fig.cell_info[0].output_area.element.on(\n",
" 'cleared',\n",
" { fig: fig },\n",
" fig._remove_fig_handler\n",
" );\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
" var width = fig.canvas.width / fig.ratio;\n",
" fig.cell_info[0].output_area.element.off(\n",
" 'cleared',\n",
" fig._remove_fig_handler\n",
" );\n",
" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable();\n",
" fig.parent_element.innerHTML =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
" fig.close_ws(fig, msg);\n",
"};\n",
"\n",
"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"};\n",
"\n",
"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"};\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function () {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message('ack', {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () {\n",
" fig.push_to_output();\n",
" }, 1000);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'btn-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" var button;\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" continue;\n",
" }\n",
"\n",
" button = fig.buttons[name] = document.createElement('button');\n",
" button.classList = 'btn btn-default';\n",
" button.href = '#';\n",
" button.title = name;\n",
" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message pull-right';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = document.createElement('div');\n",
" buttongrp.classList = 'btn-group inline pull-right';\n",
" button = document.createElement('button');\n",
" button.classList = 'btn btn-mini btn-primary';\n",
" button.href = '#';\n",
" button.title = 'Stop Interaction';\n",
" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
" button.addEventListener('click', function (_evt) {\n",
" fig.handle_close(fig, {});\n",
" });\n",
" button.addEventListener(\n",
" 'mouseover',\n",
" on_mouseover_closure('Stop Interaction')\n",
" );\n",
" buttongrp.appendChild(button);\n",
" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
"};\n",
"\n",
"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
" var fig = event.data.fig;\n",
" if (event.target !== this) {\n",
" // Ignore bubbled events from children.\n",
" return;\n",
" }\n",
" fig.close_ws(fig, {});\n",
"};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (el) {\n",
" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
" el.setAttribute('tabindex', 0);\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
" 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>"
]
},
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"output_type": "display_data"
},
{
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