analysis_dask.ipynb

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     "end_time": "2023-06-01T09:30:38.508000Z",
     "start_time": "2023-06-01T09:30:37.199001Z"
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   "source": [
    "import dask.dataframe as dd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "import os\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "def euclid(df):\n",
    "    return np.sqrt((df['centroid_x'] - df['centroid_x'].shift(1))**2 + \n",
    "                   (df['centroid_y'] - df['centroid_y'].shift(1))**2\n",
    ")\n",
    "\n",
    "\n"
   ]
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   "source": [
    "sub = 'ROI_5-WT_79'\n",
    "pth = Path(r'D:\\thermography\\cdkl5_thermal_behaviour_group1\\unico')\n",
    "content = os.listdir(pth)\n",
    "content = list(filter(lambda c: c.endswith(sub), content) )\n",
    "\n",
    "conc = list()\n",
    "for i,s in enumerate(content):\n",
    "    fnames = pth / s\n",
    "    temp = dd.read_csv((fnames/'data.csv').as_posix(), sep=';', skiprows=1, \n",
    "                     assume_missing=True)  \n",
    "    temp['temp_norm'] =  temp['temp_max'] - temp['temp_max'].mean() \n",
    "    temp['RT_norm'] = temp['RT'] - temp['RT'].mean()\n",
    "    temp['distance'] = temp.map_partitions(euclid) # da cambiare\n",
    "    temp['Day_relative'] = i\n",
    "    temp = temp.reset_index().rename(columns={'index':'index_old'})\n",
    "    \n",
    "    conc.append(temp)\n",
    "    \n",
    "conc = dd.concat(conc)\n",
    "conc['Day_relative'] = conc['Date'].apply(lambda x: int(x.split(' ')[0].split('-')[-1]), meta=('int') )\n",
    "avg_min = conc.groupby(['minute']).mean().compute()#.reset_index()\n",
    "avg_min = pd.concat([avg_min.loc[407:],avg_min.loc[:407]]).reset_index()"
   ]
  },
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      "text/plain": [
       "   minute      index_old            ID      timeStamp  hour         RT  \\\n",
       "0   407.0  607830.580942  1.141310e+06  762381.282974   6.0  23.372763   \n",
       "1   408.0  608402.340846  1.141948e+06  761910.405122   6.0  23.385435   \n",
       "2   409.0  608891.922586  1.141989e+06  762135.543729   6.0  23.397837   \n",
       "3   410.0  609408.204274  1.143069e+06  762243.795686   6.0  23.418914   \n",
       "4   411.0  609947.503052  1.144287e+06  762111.697452   6.0  23.420603   \n",
       "\n",
       "      isDay   temp_avg   temp_med   temp_max  centroid_x  centroid_y  \\\n",
       "0  0.000000  27.203480  27.203480  29.195094   77.161731   81.574178   \n",
       "1  0.774068  27.046066  27.046066  29.079503   75.740382   94.975102   \n",
       "2  1.000000  26.965382  26.965382  29.022521   64.514398   84.991781   \n",
       "3  1.000000  27.141822  27.141822  29.163422   74.625068   88.755310   \n",
       "4  1.000000  27.033851  27.033851  29.128077   76.403937   82.619540   \n",
       "\n",
       "   temp_norm   RT_norm  distance  Day_relative  \n",
       "0   0.207950 -0.157748  0.803609     28.016996  \n",
       "1   0.092284 -0.144610  0.581375     28.010851  \n",
       "2   0.035517 -0.132223  0.352368     28.012764  \n",
       "3   0.176576 -0.110981  0.501724     28.013322  \n",
       "4   0.141489 -0.108783  0.430342     28.011099  "
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    "avg_min.head()"
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       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.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",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640.1666666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0x2f3c64ae880>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "#RT = (avg_min['RT'] - avg_min['RT'].mean())/avg_min['RT'].std()\n",
    "#avg = (avg_min['temp_avg'] - avg_min['temp_avg'].mean())/avg_min['temp_avg'].std()\n",
    "\n",
    "fig,ax = plt.subplots(2,1)\n",
    "ax[0].axhline(0,color='k',linestyle='--')\n",
    "temperature = avg_min['temp_norm'] - avg_min['RT_norm']\n",
    "temperature = temperature.rolling(5, min_periods=0, center=True).mean()\n",
    "ax[0].plot(temperature,'b')\n",
    "ylims = ax[0].get_ylim()\n",
    "ax[0].fill_between(avg_min.index,y1=ylims[0],y2=ylims[1], where=avg_min['isDay']<0.5,alpha=.4)\n",
    "\n",
    "dist = avg_min['distance'].rolling(5, min_periods=0, center=True).mean()\n",
    "ax[1].plot(dist ,'r')\n",
    "ylims = ax[1].get_ylim()\n",
    "ax[1].fill_between(avg_min.index,y1=ylims[0],y2=ylims[1], where=avg_min['isDay']<0.5,alpha=.4)\n",
    "#plt.plot(avg,'r')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5add5c8c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-24T16:41:52.152763Z",
     "start_time": "2023-05-24T16:41:52.133764Z"
    }
   },
   "outputs": [],
   "source": [
    "avg_min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "28a6f440",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-24T16:41:52.959791Z",
     "start_time": "2023-05-24T16:41:52.934089Z"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "def parsedate(date):\n",
    "    try:\n",
    "        return datetime.strptime(x, '%Y-%m-%d %H:%M:%S').day\n",
    "    except:\n",
    "        return np.nan\n",
    "\n",
    "#for i,row in df.iterrows():\n",
    "#     print( int( row['Date'].split(' ')[0].split('-')[-1]) ) \n",
    "df['Day'] = df['Date'].apply(lambda x: int(x.split(' ')[0].split('-')[-1]), meta=('int') )\n",
    "df['Day_rel'] = df['Day'] - df['Day'].unique().compute().min()\n",
    "#df['Day_rel'] = df['Day']-df['Day'].loc[0]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c7f25dce",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-23T14:47:19.821624Z",
     "start_time": "2023-05-23T14:47:10.534416Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fcbfc357",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-23T14:47:48.413063Z",
     "start_time": "2023-05-23T14:47:38.838228Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0\n",
       "1    1\n",
       "2    2\n",
       "3    3\n",
       "Name: Day_rel, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Day_rel'].unique().compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "492bd836",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-23T13:59:42.434849Z",
     "start_time": "2023-05-23T13:59:42.421849Z"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6557bd0c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-23T13:59:47.378253Z",
     "start_time": "2023-05-23T13:59:42.436849Z"
    }
   },
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      ],
      "text/plain": [
       "                ID      timeStamp  hour         RT     isDay   temp_avg  \\\n",
       "0     1.336434e+06  155847.136659   6.0  20.928277  0.000000  24.925562   \n",
       "1     1.339281e+06  156172.399806   6.0  20.909420  0.597041  25.012292   \n",
       "2     1.339671e+06  156218.470433   6.0  20.905223  1.000000  24.838781   \n",
       "3     1.343349e+06  156640.463707   6.0  20.903320  1.000000  24.810668   \n",
       "4     1.343131e+06  156616.988766   6.0  20.898115  1.000000  24.820788   \n",
       "...            ...            ...   ...        ...       ...        ...   \n",
       "1436  1.345731e+06  156909.814315   6.0  20.934016  0.000000  24.817289   \n",
       "1437  1.341345e+06  156406.007745   6.0  20.939502  0.000000  24.786358   \n",
       "1438  1.336503e+06  155852.942435   6.0  20.933071  0.000000  24.851544   \n",
       "1439  1.334818e+06  155660.904451   6.0  20.906522  0.000000  24.913386   \n",
       "1440  1.336434e+06  155847.136659   6.0  20.928277  0.000000  24.925562   \n",
       "\n",
       "       temp_med   temp_max  centroid_x  centroid_y  distance  \n",
       "0     24.925562  27.409255   45.632617   75.221100  0.663761  \n",
       "1     25.012292  27.473522   44.624407   77.711148  0.630961  \n",
       "2     24.838781  27.161659   48.362016   86.507362  0.468760  \n",
       "3     24.810668  27.235981   51.050258   91.076157  0.222031  \n",
       "4     24.820788  27.236991   48.647908   89.847007  0.322865  \n",
       "...         ...        ...         ...         ...       ...  \n",
       "1436  24.817289  27.277771   47.785162   85.979589  0.530997  \n",
       "1437  24.786358  27.323865   44.175829   81.319092  0.785412  \n",
       "1438  24.851544  27.305942   46.083188   80.210620  0.840904  \n",
       "1439  24.913386  27.426630   43.668838   81.474248  0.728567  \n",
       "1440  24.925562  27.409255   45.632617   75.221100  0.663761  \n",
       "\n",
       "[1441 rows x 11 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "#df['mot_dist'] = np.sqrt((df['centroid_x'] - df['centroid_x'].shift(1))**2 + (df['centroid_y'] - df['centroid_y'].shift(1))**2)\n",
    "#df['mot_dist'] = df['mot_dist'].fillna(0)\n",
    "\n",
    "\n",
    "\n",
    "avg_min\n",
    "#avg_min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "10e25751",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-23T13:59:47.518227Z",
     "start_time": "2023-05-23T13:59:47.433253Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
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       "        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",
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       "        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",
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       "\n",
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       "\n",
       "    this.context = undefined;\n",
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       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
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       "};\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",
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       "    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('tabindex', '0');\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",
       "            'z-index: 2;'\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(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\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;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            'z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
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       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
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       "                    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",
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       "\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",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\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",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.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",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640.1666666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0x26782151880>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "fig,ax = plt.subplots(3,1,sharex=True)\n",
    "\n",
    "avg_min[['temp_avg','RT','distance']] = avg_min[['temp_avg','RT','distance']].rolling(5,center=True,min_periods=1).median()\n",
    "ax[0].plot(avg_min.index,avg_min['temp_avg'])\n",
    "ylim = ax[0].get_ylim()\n",
    "ax[0].fill_between(avg_min.index,y1=ylim[0],y2=ylim[1], where=avg_min['isDay']<0.5,alpha=.2)\n",
    "\n",
    "ax[1].plot(avg_min.index,avg_min['RT'])\n",
    "ylim = ax[1].get_ylim()\n",
    "ax[1].fill_between(avg_min.index,y1=ylim[0],y2=ylim[1], where=avg_min['isDay']<0.5,alpha=.2)\n",
    "\n",
    "ax[2].plot(avg_min.index,avg_min['distance'])\n",
    "ylim = ax[2].get_ylim()\n",
    "ax[2].fill_between(avg_min.index,y1=ylim[0],y2=ylim[1], where=avg_min['isDay']<0.5,alpha=.4)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "94522a49",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-23T14:56:08.663413Z",
     "start_time": "2023-05-23T14:55:57.000197Z"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "pth = Path(r'C:\\Users\\pupil\\Downloads\\thermal_behaviour_72_h')\n",
    "\n",
    "\n",
    "def readTher(fnames):\n",
    "    df = dd.read_csv((fnames/'data.csv').as_posix(), sep=';', skiprows=1, \n",
    "                     assume_missing=True)  \n",
    "    df['distance'] = df.map_partitions(euclid) # da cambiare\n",
    "    df = df.reset_index().rename(columns={'index':'index_old'})\n",
    "\n",
    "    avg_min = df.groupby(['ID']).mean()\n",
    "    avg_min = df.groupby(['minute']).mean()\n",
    "\n",
    "    avg_min = avg_min.compute()\n",
    "    avg_min = pd.concat([avg_min.loc[407:],avg_min.loc[:407]]).reset_index(drop=True)\n",
    "    return avg_min\n",
    "\n",
    "fnames = pth / '20230519_113859-ROI_*-WT_*'\n",
    "wt = readTher(fnames)\n",
    "fnames = pth / '20230519_113859-ROI_*-KO_*'\n",
    "ko = readTher(fnames)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ea3e8964",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-23T15:31:11.622573Z",
     "start_time": "2023-05-23T15:31:11.467242Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute('tabindex', '0');\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",
       "            'z-index: 2;'\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(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\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;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            '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",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\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",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.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",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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cxTaDqTTd46yPpIEC4ldse/wMZT/K2uYdnNqr0Ph1LrQopEACZCAIkAxZPvXAcWQla8hxZCVLxCHRwIkYFECocVQplaN4LpDMiKIZfoO6N5oLqpmrq/9Hv/4USTavR2BronxtGZdOPr749jDI2h+rAP+WQJ8cU6fyrGNW1F4b6Uw8+pcqA++KdzXovPlyUmABKyLAMWQda3Hu4yGYuhdqH3EYyiGPiJsnooESMDmCIQWQ571qiDBscN4ElcSI4humVJ9KcqkrxLpvFQq7nSjhqPw/BXB7SpLVrltmYAitwGnIOBIWqBKtkb4teKfNseIAyYBEvhwBCiGPhzbj9UzxdDHIv2O56EYekdwPIwESMAuCIQWQ9kql0S8i+dw0xVI/z9gVq21KJqmdJQsEu7ZgSzN9B0kZXcTALs9gIbn9d93ys9dehfA3w12RNkXG5AACdgPAYoh219riiErX0OKIStfIA6PBEjAogRCi6EcpfLD5fo1rWZQju7A0s93I3uyvNEaY4LDB+D5efUI2xb/KQ1mdjH40kWrRzYiARL41AlQDNn+ClMMWfkaUgxZ+QJxeCRAAhYlEFoM5SrgiTgPH+BoanFx6wzs+dIHri5Joj1G1w1rkenrluG2b9ckHnqOvRPtvtiQBEjg0ydAMWT7a0wxZOVrSDFk5QvE4ZEACViUQGgxlCdbGji+fIFd4tZWu3NiEUPXYjy+fBncwj2mZzWg1Yx7cHZ0jnGfPIAESODTJEAxZPvrSjFk5WtIMWTlC8ThkQAJWJRACDEkhVbzZZLiQmLrJDP2V53SY2Oz0zEeX9qfeyP53BlhjhtcHig/4xKSx08Z4z55AAmQwKdJgGLI9teVYsjK15BiyMoXiMMjARKwKAFzMeT4zA95cmXQxrM0lyRP6PsFRlWcGePxpZg2AWmGDwhz3LgSgOeMg1KANXuM++QBJEACnyYBiiHbX1eKIStfQ4ohK18gDo8ESMCiBMzFUBzfO8hVNKc2njkFgCeTFqBSpjoxHl+SVcvg0a19mONmFQQCp61EiXQVYtwnDyABEvg0CVAM2f66UgxZ+RpSDFn5AnF4JEACFiVgLobinj+L7FVLaeOZ+BkQd8IKlExXMcbjS3BoPzwb1ghznNpt2jN6EL4q0CPGffIAEiCBT5MAxZDtryvFkJWvIcWQlS8Qh0cCJGBRAuZiKF3Pb5Dsn7+08XxTCyg5ZAMKpioe4/E5PPdH6qIZkcIvAFJvFY6GHlRShlHDm2BEhekx7pMHkAAJfJoEKIZsf10phqx8DSmGrHyBODwSIAGLEggWQ2/fIm/GZHCQ/ysrKV5uPb/diZzJ87/T+L5bUh3xjxzAyVTAmamOSPxSySKg0oQyGP/5mnfqkweRAAl8egQohmx/TSmGrHwNKYasfIE4PBIgAYsSMIqhOLdvIddnuYPH4ij5D1Y3OYKMSTzfaXxrLy/BkD3f4+3bINyanABJ7zzQ+vmqswe69z2GxedmwuvxeVTOWBel0ld6p3PwIBIgAdsnQDFk+2tIMWTla0gxZOULxOGRAAlYlIBRDCXctR1ZWjTQxtJfwoSGSRrszc3OwT1hmnce35vA19qxqebPRbr+vbWfVUY5h1/n4futrbXfXZziYluLizEq7PrOA+KBJEACVkeAYsjqliTGA6IYijGyj3sAxdDH5c2zkQAJ2BYBoxhy//1XpBr7izb4hk2AFbJJtOdLn1gRKfFOn0C2mqKuDHY3AdCkMbAjs/7CqkaHJN12NtsCx9GSAAnECgGKoVjBaNFOKIYsij/qk1MMRc2ILUiABOyXgFEMZW5WD4n27ESgA5BSNnEeiWA52u4+4jjGeW84KqFC5sJZkND/VXBfe6ScURlD9u1/GuxCjuT53vs87IAESMD2CFAM2d6ahR4xxZCVryHFkJUvEIdHAiRgUQJGMZS9XBHEveoFnyRApu+BxC5u2P2ld6yNzfHIXqweUwt9d+tdqnQKSX8EnsYD5tfdhALuxWLtXOyIBEjAdghQDNnOWkU0UoohK19DiiErXyAOjwRIwKIEjGIod24POPk9xcG0QPGOwOza/6FIar3mUGzZUEmoUHz8bPxvn95jwU7ACQlJmllzNT5LWy62TsN+SIAEbIgAxZANLVYEQ6UYsvI1pBiy8gXi8EiABCxKQIkhv0fPkDdbam0c/2YHenXLg6Wf74n1cf15YhzeThqM8ev1rus1k/PlBCZX+wdlM1SN9fOxQxIgAesnQDFk/WsU1QgphqIiZOH3KYYsvAA8PQmQgFUTUGLoxaUryFlSryc0sxCw9+fv8P1ng2N93Hf8b2L5r1UxddYtre9uNUUISU3X3sWH44afN568eowkcd1Qy7NJjN3mnK/7IMm6f/EmdVo8qVkXcHaO9fGzQxIggdgnQDEU+0w/do8UQ5EQv3jxIhYsWICNGzfCy8sLL1++hKenJxo3bowePXogYcKEYY7etGkTxo0bhwMHDsDf3x9p0qRByZIlMW/ePMSJE/NAXoqhj/0nwfORAAnYEgElhgJ27IJnI1EmYkPFW63K7GtI5JL4g0wj/vGjyFpXryv0SxmgXxX9NO7PgD9XAR5PgHkFgPwj1qNQKsnDHR2TQrHZKhVHvMsXtdY3Ro3HoxZtonMk25AACViYAMWQhRcgFk5PMRQJxB9//BETJ05E3bpSVK9UKbi4uGDbtm1YsmQJ8ufPj/379yN+/PjBPYwYMQI//fQTKlasqB2TOHFi3LlzBzt27MCaNWu042NqFEMxJcb2JEAC9kRAiSHHuXOR4X9dtWn3aJoM7cdc+WAInH28kbNMQa3/aUXkX1GggC9QWU7Z+qTptONGt0OVZuOiNQ7HZ37Ik0vS0xnsQZsOuDVsdLSOZSMSIAHLEqAYsiz/2Dg7xVAkFA8fPqztBCVNmjREq59//hnDhw/HpEmT0LWr/gW8detWVKlSBX379tXeiy2jGIotkuyHBEjgUySgxFDqgrkR98Y1bXpf986P77rv/GBTdXzyGHnyZtL6v5gMyP4w4lOdunof4hIQ5VhcJAteDsmGZ7RHXzTDjXHTojyODUiABCxPgGLI8mvwviOgGHoHgidPnkSBAgXQqVMnTJumf2FVrlwZp06dws2bN8XV2xnPnj3Tdo2cnJze4QymQyiG3gsfDyYBEvjECdzetANpqlXQZvlKPm6/ntoYP9Sc8eFmLS5teTOngENgYJTnuDlsDB62+TrKdgkO7gt281ONn9Sog2szFkR5HBuQAAlYngDFkOXX4H1HQDH0DgTXrVuHWrVqoX///hgyZIgWG5QkSRLUrFkTDRs2xODBg+Hj44O4ceOievXqWgxRlixZojzT9evXof6ZmxJYnTt3xp49ezRXPRoJkAAJkICJwMNffkWyfn20FwaVB3x79sE3hft+UES5CmZFnAey6xOFPaleG6+y5kCyv+fB4dUrLTHCzbGTAQepDGtmideuQsbOphghv7IV4P3Xyqi65/skQAJWQIBiyAoW4T2HQDEUQ4CB8jSwTJkyUC50p0+fRo4cOXDixAkULFgQ7u7uePz4MXr16oWiRYvi2LFjGDVqFJIlS6a1Ue9HZoMGDdKEVHhGMRTDhWJzEiABuyDwuHdfuI0Zqc21ZHvZpW86Fk1zyQ8f0LJV/Cw42UHo00z+zAHtj7xFPNk4CkiaDHEehfSju7RuB17mlQwLZpZ8znSk7f9D8CvPCxeD16pNH3AG7JoESCC2CFAMxRZJy/VDMRRD9ipGaMqUKRg2bBj69eunHb17926ULVtW+/mPP/5Ax45S8c9gf/75J77++muoZAwqwUJkxp2hGC4Gm5MACdg9gacdOiPxzD80Djm6AZ2bzkOVTPU+KJf03Tsi6Yol4Z7j51rx0WXXC6TzC38IN0ZPQLxzZ5Dw0H68dYqDh82+hMutG3CfMCb4gJfZc+HSFkNl1w86E3ZOAiTwvgQoht6XoOWPpxiKwRoYEycocTN9+nTxdNBdHY4cOaLtBDk6OuL58+eae5zR3rx5o8UOqfdV9rmYGmOGYkqM7UmABOyJgP8XTZFwmS5MUvYGxjaNQUrrdwTlunk9MrWTiquhLChefFTumQrjZ3oj/93wOw+S7wdHcZkzWpDEmD6tXgdua1YEv/Y6XXpc2H8aTuKK53znFl6n80CQm9s7jpaHkQAJfEgCFEMfku7H6ZtiKJqcjS5srVu3xuzZszXhYzRfX1+kTp0ayZMnx/37Yf3I1XsqzbaqWxRToxiKKTG2JwESsCcCL6pUQ/wtuktZnP7AqmZH4ZE46hjN92Hk8Po1spcpBJfbN7Vu7vw4EH4Vq+B1eg903NsOw4ZvRUXv6J/hdZp0wX2powKSuOHa9HnI3LwBHIKCECRlGZTbXGj3uuifgS1JgAQ+FAGKoQ9F9uP1SzEUDdYqjkeJoVatWmGu1LMwF0LGwzNnzqwlTfDz8wtRjFUValXFWVXyg127dkXjbCGbUAzFGBkPIAESsBcCktktIIMH4ty8gSeyIe8meRN2trwCt3iS8/oDm0qHnXjDfwhIkQKPP28CSR2qnXHQru5oMnwemp4JOYCzdSoi95pt0RqV2i3yL10erts3B7e/17k77vQbEq3j2YgESODjEaAY+nisP9SZKIaiIKuyxQ0cOBAtW7bUhFBEqbJVG9VWJUz44QdTIOzYsWO1hAoqXkjFDcXUKIZiSoztSYAE7IaAJKaR7DXadPelB0pJFusj7e7B2dHZYghmHB+LC4uHYp1kxjb6D/gmBPr+0QGzWkU/5XdQ3HjiTvcyxDxOX7qDt/HiWWxuPDEJkEBYAhRDtn9VUAxFsoaTJ09Gt27d4OHhoQmd0EIoVapUqFq1qtaD2hEqWbIkzp49i6+++kqLETp69ChUAoU8efJg3759IXaMonvpUAxFlxTbkQAJ2B2BDRuAGjW0af9UCRhXKQEOtrllUQzXn15Fo+WlkPXWC5T1AQJFEW30BLyldve9862Q4u93rx/kPXMh/CRdt7WYzxMv7Lq+EekTZ0K5DNXh6GByH7eWMXIcJPChCVAMfWjCH75/iqFIGLdt21bbDYrIypcvj+3btwe//fDhQ20XacWKFbh7964WR6TqDikXO7d3DH6lGPrwfwQ8AwmQgI0SWLYM+OILbfAd6wAry6XGlubnLT6Z0/eOYsf19XBPkAYLTk/F1Sd6vOj0wKboMHSx9vOtXJlxvnIJVJq0KNrjvd+2A24PHR3t9qph/KOHkGzRPARKHNK9rj0RmFRUWSzY68BXqLmkAO49v6P1Nq7yfFTOVDcWemYXJGBbBCiGbGu9whstxZCVryHFkJUvEIdHAiRgOQJz5gDt2mnnb94IOFAmO1Z9cdBy4wnnzOu8lqHPdr3uUd6URTAl/U8YvqwJdmQIRB7JOHc4Cs+5R180Q9Klfwf3fOb8DQQlTBStOTpf80bO0robobLHDRrj+sTou+pFdhIl+FqurISishGX4rnMrUpnfFlVr/dEIwF7IkAxZPurTTFk5WtIMWTlC8ThkQAJWI7AxIlA9+7a+es0B66XKYYF9ayvWOnny0rC6/E5JI2XAt2K9MPQPd9rY3YOkDGPA1L56whfp88AlxvXQ/C8Pm4q0vX5Do6SwU6Z+v3xFzLZaJhHxy+RZN2/IVqqzHf3uurnj8wcXryAxzftpB7SPryQIrE+f8xDkOwuKXsR8By1lhRE2813McaA+7WzE67sOo436TJE1TXfJ4FPigDFkO0vJ8WQla8hxZCVLxCHRwIkYDkCv/wCqX6tnb98W+BtmWqYXD38YqiWGyTQbWNT7Lwu8U3hWH7xMmt0Fiheoh3yO2VEmhGDglsFJkiIc6euItGOLcj0lS6A7nb7H3z7SA7xaFjWqqUQ/7x0bmavMmXBxV1Hozw65fjRSD1meHA782x2qy79hf47v8F50aI5Hpi6ujVkFB606xRl32xAAp8SAYoh219NiiErX0OKIStfIA6PBEjAcgT6Si7tkbprVuGOwGe1eqOr7LxYm4050A/zTk+OdMacHCwAACAASURBVFjx4iTAKfyMrD//FNzOR2oNPa1ZDyqNd45yRbTXH7TpgFvDohc3lLNQNjjfv4dA18Rw8nuqHa9+Pnv2WuSIpLZRzuJ5tYKvRntWvBSuLv0PW73XoMeWVnB7ATwaFbabU96ijgxpxq1tHTgeEvgQBCiGPgTVj9snxdDH5R3js1EMxRgZDyABErAXApLtE5L1U1m2b4HeLVegZLqKVjf7m34++H7Llzj/4KQ2tkTOidGj2CBc97uKuadke8Vg/yYfjDrfDgz+/fwecTvzyIQ49+4iV+Hs2uuPGjbBjfHTo55jYCDyZkmpFW31K1sBb13iIvEWfXfq9GVfvI0rhZnE3MeNhOum9QiSwuB3fuiPF4WLId6p48hWq0KIc/hlyYSr24+hxuJ8uO1/A1lF81wyDT247YWdR/A6s6TPMzPHJ48lTfgrBLininrcbEECNkaAYsjGFiyc4VIMWfkaUgxZ+QJxeCRAApYj0KYNMG+edv50vRyx/JtrSOAcveQClhj0Hf+bePb6KdK5ZkR82QlSts1nLb7b3FL7uUfRQeh9yAXxTx6HX6VqeNJAz5TnIMW782ZLrf38tEoN+Mw2JVQIPQ8lPFLM/gNxL16A27/LtbdV4gRVyDXZP39pv587eAYBadKFET3PSpTG1X/WIvmsaUg7MGRdvPvxgbbTm+A/r3/wVv4rLqFN+/8MS/Hyqk2aoDJa4rWrkOHbr+H45g3ut++C24NGWAI9z0kCH4wAxdAHQ/vROqYY+mio3+1EFEPvxo1HkQAJ2CaBt2/f4vf9v2P39d0onaE0vi/xPeSLKsxkph2ehmKdh6DIkdvae9lHe2JZsyM2N+lLD8+i0YpS2ri/zPMNepeQOKhwLI+nu5ZEweiuFtFE3SXOJ5XE+5ibivcRiEg5dbz28uU12/CiQCGknPQbUo8aEtw0IGkynDt5Bal+HQb3iWO01/0TOCPh8zfaz04DgCBDKaEBT0tj8G97tNevSl6FzI/1brznLIZf5erBfXp83RJJNqwN/v3c4fMISKULOxoJfAoEKIZsfxUphqx8DSmGrHyBODwSIIFYJdBmZRvMO6Hv9ijb2XYnymYsG+IcJ31PosC0Atg7Eyh5A3jmDKnXUxZ/1gqZOS1WB/aBOvP1v4Wqf+fWeq+frQWGlpsS7plyFcyKOA/u40XuvLi8YTfinT2FVGN+gYPsuLzMnhP3JLGCqiEUXga5q/P+gfOtm0j/Yw+tby3uaOAvSNu/N5IvnBPifGeUGBr7C1LMFbhi5zO7IedVXenUbgH8p3vrYcr9Cugyabv283rxiqvhpb9+esRwvG3VVftZFaDN2aQBspyR6rMGU7tPD77qDH+JQXqU0EnbaXr6SnazEqRCTc8vgnfMwoXAF0nACglQDFnhosRwSBRDMQT2sZtTDH1s4jwfCZCApQh4P/ZG5vGZQ5y+umd1rG+1PsRrK86tQMMlDXFhguwIPZTdiCSSsW1SE4yoEI1YGktNLoLzqjTVxeem1d6t4FETE6qGX4Q1e9nCiOt9RWt35pS3lvbadde24F7vt+8sLmgjkaVhDUmHvT/49ef5C+HKig2I43sbOUsVCH79TYqUCErkGtyn8Y26PdKi+ZbbaHHqrfbS3JoeaLNOT7iwWZamqngmKvvnehV88edm7ecJn0mGc0N5p/n5gRV9WiJ5gtSYeWIsVN6IPPfCTv6Ne2q0GlUeS3z0IrTKuhb+CZ0K/RC2MV8hASsmQDFkxYsTzaFRDEUTlKWaUQxZijzPSwIk8LEJDN85HD9v+znMaUPvDs05PgftVrXDfclmllyymh1JA0ya1B09PzO5fH3ssb/r+ZRbYNE5qfAm6DUKpyqJOXXWhdtV5sa1kWi/7pb2sHGL4Pgf88YPWn2FRCKQ4vpcxZuU7ri8dhsCUovQMrgZphn0I1L8OS3SoUp+BrQ/JrtAl/RmRX4vjEVDjmqiM0C8FT2kRNFDiR9ad7UKKv6li6H+LT0wdKEpQ93SXEDTxrpL3S3xtkvzTO/rrYzDQeZrtIrfJMJ2d8Ob8mK5DNUxqZpJHL0rUx5HAh+TAMXQx6T9Yc5FMfRhuMZarxRDsYaSHZEACVg5gdyTc+Pc/XNwdnRG5qSZcfHBxeARe3/njYxuGbXfx+8fj57reuCNaB8VwrJJ3LRuLFqLomlKW/kMwx9epb9y4P4LX2RNmhvLG+4Nt5GbJD/I0PObaM9P7Qh5iRgKYSJEkqxaBg9JaBCRfVdDhMxpoJS4H76JHw85R2RE178voKdpswkvnQAXOMFRMtYpO7V1L5yGdkfubYeDu/1CxNAy8f57OQyIK822y9I9GjkF1X+ZjgSSrU7ZwArAkPLygyEkLGfy/FjSYGe058iGJGANBCiGrGEV3m8MFEPvx++DH00x9MER8wQkQAJWQsBtpBuevHqCwmkK41CHQygzqwz23dinja553ub4q5GeDW3ItkHI2W0wmhjqid5s/AUe/qbHuNiiNVhWHFceX4B7gjTY3PxcmCkEBAXA8dh+FGhQJ8x718dORob/6TE65vakRh1cm7EgXBy5c3sE1x0K3eBsCiD3ff3VpynckO2H+Ch+9DZWR5zADmdPXkWgpOZOOWEMUv+mZ4vbn06KyXZww81BerzR8pzAxanT0fRmCmRu1TD4tCPKAD9VMY3iaLv7iOMYxxaXkWO2UwIUQ7a/8BRDVr6GFENWvkAcHgmQQKwQUO5iTkOctLTNlTNXxubWm3Hh/gXknCx30WLF0hbDwQ56YMrsAfXQbqgpWcKVRavgX0ZtMdimtf+vLg7d3gUnByccausbQgzceOqNNmtrwNH3Du6MDTm/C7uO4XUmCeSRHZqsdSsh/qkTWoPAhIlw9a8VIVJcmx+Zs2guOEsMkdGCXFwQFD8B4khabnM7W8QTxRr64vnrZ/j2AFDoDlD3ApBCXBONplzfTl8V9WQotJrpi5pwPaAL2HNDBiPXAL1u0kSJK/KSnzuma4XsxXMjzms9Q52/JL+oO6Y0tj3SXQA7FuyFbkXCukra5spy1PZAgGLI9leZYsjK15BiyMoXiMMjARKIFQJ+r/yQeGRira+GuRpiWZNl2s/pfkuHW3634JnUE5e7X9Ze21U8DcoelDtzsbsN6sJ34vxYGYOlOhmwsytWXlqonX7p53uQPVme4KHMOD4WE48MhWOQzFUyZqsYKWVvJBbovNQLehH4AqfuHoZH/PTIdP0pHEQYvcqWXUuOEJFlL18Uca/oLJX5JUuMTd98gTojZsFF93zDC9mcGTSgBn4NCpm84j/ZbKppOhQBbklx7tTV4L6SrFwa7IbnX7Q4Eh4WFSXWpba4ybX+Gv1KjcH2xb3RtdcMzcVR2ZXCOVCw2gX4xQMyJvbEv41tL0W6pa4dntfyBCiGLL8G7zsCiqH3JfiBj6cY+sCA2T0JkIBVELjx9AYyjMugjaVdwXaYVX+W9nPR6UVx5PYRJIufDA9+eIDdFzajcN6qSBAgN9FS3+bFmVsICtILmNqqTT06ElOPjQwe/qxapvin4Xt7YfE53QWwqoiQmb4VkDheMjz88is8KV4CDZeXhPeTSxJ244AF9TYjX8oiITBcfXxJUlc/QpakOeDqImn3xLLWKh+8i6R+Vxw9Jet2SsllkEs2eQIlhue0u4TyuCXD41eSOUGsSc72qJ21MSoMmwKPlauDz/Eqsycu7jSJl3hSMDZb7QphlqKCykJXvgYmVv0bYw70w54dk3F5oqnZppxxUa3ZK7jFTYadrfSseTQSsAUCFEO2sEqRj5FiyMrXkGLIyheIwyMBEoiSgHKBU7WBAt8GomDqgnB00PcETvmewqLTi/DizQvNPW78Ab0oaI/iPTCuxjjt52rzq2HTlU3azX7AgAD8Or0tfuys7wQtreCOYkuv4OkLUUY2bDuurce3m5oFz+Dz7F9qOyQXH53R6vCY26Sqi1HOQy9qevXxRdRfJv5nButQoBe+LWpyMTPuKhnf71FsMBrlaI2CrVoFZ6ZT751OCeQLG3YU4rxTqi9FmfRVELqo69Mq1eEz25QBLs5dX+QqkiPMarj1AZ5IFrqRFWZis/dq7d9U8XTsbLYJVKwDcDyDM460vRtuod3YWuLXga9w4s5+uMZLihzJ8n3Qc8XWmNmP9RKgGLLetYnuyCiGokvKQu0ohiwEnqclARKINQI/bPoBo/eKj5dY6QylMbjCYCw8tRCzj88O9xwDyw/EoAqDtPeaLW2GxWf0m+2HPzzE+IHVMWj0Ie33p8MH4lGn3jYvhpRYXHR2OkbuF8UQhQ0uOxFKLCnbd3MbOq3/PPiIKpnq4bfKpoK1zVZVwNn7euY2oyV2ccOVjYWQfLsp09whyb79WcfIT7yl+XmklNpBCXfvQJbm9YMb3/22F3x/MIvxCQpCXk93OASYBOo193jI+M3LMCeI99YZN843QfLFuougsq/rAvV+OYibz64hrlNcFHQvDmcnl6iwRPt9R/9ncKqRGzm9n2KDZCGcP7wD+pTWr80YmayZ+/jRSDZ3BgKTp8StwSPgX9p249ZiNHc2DkGAYsj2LwiKIStfQ4ohK18gDo8ESADPJMB+y5UtcI3rivIZy8PJUXIvG2z95fWoubBmjCj9Vu03fF9SCtqIdV3bFVMOT9F+PtH5BBZ1LoMRK/30/pYtg0/56jYvhoxwaizOh1vPrkfK6vPsrTC47CSoYq2NlpfCDT/vEO1Lpaus7XR8K0kI1G7Tved6bJW5nd35GXJtNVRJlTf2ZHJCmbaGYKFwzq5c13a09NJ3UN68QdY6FRH/7GmoxAuX12zDq1ymGCd1eLYqpRDvgiHVn/x+rUZlZCyxJUzPjXK0wcDiY5CtehnEuySZGQzWSZLmiXekZmoXcVzlBaiYsRYCrp5H6tWr4fTqNdSO1IvCxbQ2KsnEwds7ZW8RWvKJQqlKaHFUC85MRSKXxOhdfLjEYeXV2gYunISCP5rEW9n2DhjT7zoSOCeKlLt60/nmdaQeNkBLPuHw8mVwinD13us06XDhgOQkN9R0irIzNvhkCFAM2f5SUgxZ+RpSDFn5AnF4JGAlBF4HvsaMIzNw6eElZE2WFV2KdgkhSmJrmPNOzEPX/3Sfqt+r/472hdujyrwq2HJVv9ntWqyrlvlNpYNWLnFzT8zFxINmwSGhBqJudoPeSnYAM1PJE1QSBWUTD0xE9/Xdg9+duBbopm8MiU/Vcfikz/rJiKGGIm4uPzKJCDXFz9KUw/MAf5y+Z/InW/b5Xsw5NQH/Xo4433XSeMnx6OUDDVPuFAWhRNLME3o6uhXniqPBYj2xgbIDNYrhp6bu2OojcMOxYmnK4M9aa0zviCCKd+k8XqfNgCA3CTgKZfHOnES2GuWCX73dfxiutWuHryVr3un7R7XXMyXJhkX1tiKhiyucb91A2ipFkdhP3z1SOzY19M2vYFM1mOaNPouSUv/IaP7FRPTM/BPV15bG09chM+GZH1sjc0P8WkmPQbvSpQzqrxHRYrDGUg+p9cDDMp6s4c7d/MU0A/sgxaw/Imx35pR3uDyi7NhCDdL264Uka1filWc2+Ega9sBkyS00Ets+LcWQba+fGj3FkJWvIcWQlS+QLQ/vD/lSHyhpb10l69R8icEoUcKWZ2P3Y59zfA7arWoXzGFm3ZmaUIlNU7E9Krvbo5ePgrvNnyq/Fg8Unqk4n6Txk+LhCz0Iv02BNlhyZokWO6QE29+N/kaOFDnQcnlLLD27NLiLM9+cQe6UUrFTbM+1PSgzW4rRGGzXn0AZ2TwJco4Dx2f+8PF788mIoTWXF+OnHZ2C55rFLQdWNtJFy7iDAzH7lB5TVSJtBey/tT3aS1sna1P8VHI0Ss330I5JEZgAzQ89R/qnwH3JPVFzyE4kTJMVm66u0nZilDtch3UmV7gWuTvhx5Kjon0+1TD1LwORZPUyvMqSFdemzkFQEl00PXhxT2pJPUQG18wh3N8mHBqCKV/8BmfRxReTATlE/+bxlfpSoltUhrvbsnHz28bwh/CbfHSNl3/Xwuoy7YC8klTir3oi1sW1LU6JVMh163VwR9/KpmXhwdEr2JuxXVMk3rwhQg4XdhzGa5mvLZiL1yXkqKDvrCm7+00P+PYdZAtDt7oxUgxZ3ZLEeEAUQzFG9nEPoBj6uLzt5mzi149kcsfx5Ik+5QYN5HHxCruZ/qc40e/Xf4/fD/wePLW62etidXNT1q/YmPORW0dQdIbBfymGHaZKmAp3eoVy2ZI00MpG7huNvlv6aj8ndE6oZY2L6ygFaF68QKCLM6otqomtV7dq79+Te3Ktzk0ecc06fRo+D/w/GTGkCq+qAqxGK5SqJObWWaf9ekp2hlqurhyGuqrJkyxeCgzZI+ngIrA+JUaiZZ7OKLcgS3B2OGNT9wRpsanZmRBJBNROXds1NXH87gHEcYiD2bX/Q4FUpkQNMVz6aDWfc2oiGnTuj7LX9ObL87mg4SmTaImqk/uSnKH/9E54nTB+sOvgxqsrtcNSJUynzdHpgojsKqVDdPWL6OzZjXNjmaQ019wAIzHPOpWQ4IS+sxWeeS1fD4fXr+Di441nZSvgTYaMUQ3bYu8n2r4Fmb9sFHz+F3nz4/K6nbE+ngcv7oqwbiBFhc9rIl65Ld5+dgMZk3jie0nooYS3Mke/p0h4YK8mWJ9LSvbApPL9ZCNGMWQjCxXJMCmGrHwNKYasfIFsdXgH5Gmz+U5Q+vTA9chjFWx1qvYy7ubLmuPv0yHdplTCAbUzE1sWOv4nrtTNbCxeXclEnOyTS+iQ/IvIamatif9a/md6e5a4LX37rQR5xMHzyePRN/kxuYm9ga8KfoXaLiJ0ypaVYBDxiVKifdMmPMubXW403yChq+EmqUYNYN26T0oMPX75EOUWZglmVMGjJiZUXaT9Hvo9Y6MDbW5pxVpnnfwd1554IV3iTGgoCRbWeS3DS6lBlDZRBtTybAwXSUYQXkKF6TVXyU1q2MD/wKBAeMkNrLpZVS53H9q2eq9B3B6tQmSXi/Ba6uSKyYUmIEtn006oart7+kQkqWnyr/tqbW0cviMiR/479uUdpG9SA8mPHAvR7eE0UtBXkkd8XfB/6F60f6TTzFk4O5zv3dXavHXUMyK+juuMuC9eaT8/bNoKyRZLISaxN+6pcGH3cbyNLyrNCi3p3/OQvrfJ/VQN8UGrdlrx3UdNWuJVTn1n9n1t4ZlpGLX/x3C7KS3ZCadKlkLJjY+sNcoi/rkzBnap4bVyg1WLSfMJUQy971Vi+eMphiy/BpGOgGLIyhfIVodXtSqweXPI0fuKT4q7FBeh2SSBCnMqYIfPjhBjV8Liz/riVxZLNv/EfLRe2VrrTRUB3TIXqOBj6ryq3IdulngPVSBV1QqadmSaFg9UzbMahlQYggxJ9DpCascHCcxqA5UqJf5we0wd/SwB7sOHm343CB9NHGUw9NG2rTzSn/1JiSHFquAs0xPx+tlaYGg5PXmEyjjX8t8qIWKHFtffgVwpCkR7dftu74i1XkuC24+rPB+VM0n6Nisw7yeX0W1mUUyXdNvVvUIO6JXk44hryO+wXq6vmq2AP2quQKlkJXCscVp8eUKlTpCirrXr48Y0uSgNZj7fg1caoNg8facotHnIptp1cbFbnH86Sq7eiwQv5WROTkh4cJ+4Yj7Dq6zZcfd/feHZoJp2qH+xkriycDlar62OrHtP4p+Q2c+Du7+8ejNeFHq3ndTYWhKHV68QT0TGm9RpECD/jOY+biRS/WaqbRX6fJdXb5Gx6zWrXLyvIsUfE5Hw0H44PXqIgBQpcGP0JLzMXzDKYf52cIAW3xaeKZGqshSmefASOUuFvI4ftPoKt0b8FmX/1tCAYsgaVuH9xkAx9H78PvjRFEMfHLH9ncDbG8icOey8/5On9jVjlvXL/uBZ54zVjXLyX1XAvCmWR420cJrCONLRrJDLew5/3L5x6Lmxp9ZL+0eZMXP81RA93vqyAY70+wqVs1SW7FyRFELtKX2M0+sIaZYunb4LZLTK4g62VXeLCzYl4PNKRjDjcT/K0+YRIz4pMaTm2nNLa60GjzKVJlulyzaayiB39M4+vAl6DU+3nMiQOJy/40jW2OvReYw+8JPE7dyVjGslodznzDP/vefl8V6Hq52oBlIzyeepF77dDwy4mAEJXFPibo8f4FelBuLcuY1NXsvx3bl+Eu0M9C35K+7638bmHePgrYdS4a3sMl7YfQxv0umCea3UaOq7XYoXid2ZlgSp7uhuwXtlB/N5zfqoMmOV9ns7CY9aJaWRHv4avSmoHZQdvTug0YpSKC9/AttN+itEBw9atsWtkSbX1ej1HoutJNFFtprlgzP7+Ujs1tM64hIt5tG+BZJsNNupDXXau12/h++PElMqKdKzly+KuNe8Q7R4KmviMzviBB7GxqEFeOjZzay5GpXP+CPTV81DvPUyWw5c2mpK8hGLVGK9K4qhWEf60TukGProyGN2QoqhmPFi60gIPJZsS4MGaRm4sMOwg1Cpkummc+hQQD2Rp1klASV4jtw+Aq+HXsjjngd53fVUwcqG7BiCgdvlxkWsYqaKuPLoCnye6Fs293vfR/IEsePm9NOWnzBi9witXy/nXsjSb0xIVmmlYM2VK/IYP27EDFW8WkaJpTAXP6q1Os4o0lOlkohu3R0pQhsvd8Ddu39yYkjtDp1/cBIqnXVaVz3hgb3Ywxf3ceDWDs21L797sTAxPKpmknL1C23j5Z6+uyFT+K1BI/CgfRetiRJ9Ff/KjhT+EmtmKCV0UC7R4qKPFmcdiyZf/i/GaN/KjtHZ415YcXct+u/qilxymZ7VN+/CtUsbduFl7nxwenBfki9ITJHs1Lz2yIRnFcLGf8V4MJEc4PDcHymnTUCqcSETX5w9dgmBKVIiV/4siCO7PBHZ47oNcX3KLLhu3YhMbZqEaRaYMBHOnpHPGOERmbWXDIKHbu+KsMkv5f9Au/U3kXrUkBBtlBvimfM3rdbN0HywFEOxeeVapi+KIctwj/ZZKYaijYoNIyMgN9LIlEnSLRmik41tF0k8QnPDE7n68nh0ZfhuJIQbuwSevHyCmUdnYs/1PZobWYOcDdC2YNtITzJs5zD036bHNKgYkc2tN6NCpgra75XmVsI2b72I5oZWG7D83HL8cURPAazq/mxvuz1WJlBwWkGc8D2h9fXUrxtcx07S+00tQdB3DMkRVsnT9nqm3YwQJ1bXYV1xy1obTgrn5CLYVB8P5QZNiSFltWoBKuZC6gmFMCW2zkh8gafnJyeGYmWhPtFO/F/7ocJf2fAqMGQB1/aJa2NmT/2aeiw7H9dlB0SZ2m0qMiclftgZhBGGMkcDKgBD5d+KhvtRsfdQJNkQ9lrsJZuQCdNmRcsC3ZC9Z8jEFE/EFe+auOLNOD4WE48MDSG0jNgD3JIizmN9l9Y4niwNa2huZka7MXoiHjULlT88ltYt5YQxSD16WLi9ectuzrNSZZE3h+zGiqlaUY6vw09Uca/Ld0g2fxacnul1vW78OkGSHOxB0mV6EeRzB88iII2oywhM7WRWWZQTfq8lbaGYe4I0cHVJgnIZqgdnRmyVpwsmLrgHt1V6NsmVskPXwFBy6ti6TYiT15TxLpbwxHo3FEOxjvSjd0gx9NGRx+yEFEMx48XWERBYvz6sC5wKUN8idwjqafzNmwCTKHy0y6fzms7BYsV40rUt1qJWNrn5N9ibwDfotbEXjvse12JwFp5aCFVLyGjm2eKKTC+Co7f1LFdvB76VQPprKDGzhGRtuq29tuerPSiZviR+3/87Dt06hOTxk6N/+f5wTxi9GDF1U1n7r9rY4KWnFU7rmhY3jlaEw8KF+nAkdgdSR0azfuLGNCz8GzHs3q0nRjBaF3mCP3Wq6fcJElsguz3B1kNuRJVbnBJIU+Tx+1XxSVJPops1EwUou5pin1I2OdPE+VNEBFSGuNWXFmnp2dXuWb1szVFSspTlKJ4XLrdvItA1Mc7J7sdbJZhlF3Jbmwzovl22hsTeSM6D9OKh+TRJfOxtfR0uL14ic5O6SHBST6rwRA5RcW/GRCCqEOv1ZdmQ7Kgp6YLv931wt2dfjNjXG4vOztBi597IpoaeTkG3a1NmI0PXr+CgxL+Y2h3KVt3supfXXuTOi8sb5O8hNk2yM3p0boMk681qQoXq//pvU/BcYp5ylC2kvaNc/tROmou4wb3Kkg0eHVoi/vmQta6MXZw9fhkpZkyB+2Q9lsc8rij0NJQQWnLuT4w90B9uol1rFe6AH0vp23OXH51Dw+Ul5cNKHtZ4m9wMHwv/XyXZ3y8GD9kevYuhffdNSHD4ANx7doTLw0d4mzI1XuQriNuDR0nGudhLDvM+y0Ax9D70rONYiiHrWIcIR0ExZOULZCvDU/EVowzuEiou6G/x9U6cWB+9SqutnuYrO39eCnzIoznaByWQZ0oenL0X9oajfo76WgxHOtd0OHf/HDZfCZXkwmxU6ROnx4LPFyCTWyZUmV8Flx9e1n6++p0ex7Ps7DJ88c8X2s+qps+YqmOk0KYeL6CsTvY6+Le5RKtHw3b67ET5OaaMY52LdMbUEVJbaK+kwpUny7gtokvt7Ggd1wH+jaDfadMAJYCUKVc55Rqn2qprMDxbvhz4/PNIR0gxFI0FtIMmaQb8gBSzp2sz9ZO01s6SECbexXMhZv6flACqLckXQhSRlZiYrlPz4b48OLieBHgWysNzfNre6PDbWk1ovcqYBT4zF+JBsvgou8AUr+U72gHu/rrwUfb1hAYY9csOJL+j7w69yFcA8U/pO6pGC0ySBGdPm2UficEaOT55jKTLF2uud/6ly8G/pC60ki6SDHE/mB4mqB2gx/UaIUgEooeIM2WqAO7zgkXg2UiPDzWKO+Pp03/XUfo2Jdkwvv5cEkF4SUKIZHNmIF3/3trLPtPn42nNkAk4bvh542yf6qi1z1erxjWydQAAIABJREFUD5VSdGhieYbzKFN63Fq3D0GJXOWhzisUn5sWdc4GYqW+yaTZ6uzyVZQT+NNQEaCZZP7uPdYXcVtUQt69eqY5o93uNwT3O4fMhhcDhLHalGIoVnFapDOKIYtgj/5JKYaiz4otIyCgXCDkixcvDa4lKnZI/W409RS/vyGlbGvJFDY3gmhgAo6SgNqRUUVFVa2cxWcW49TdU0gWPxkyu2WGEi+jqozS4ncSDE8grj6vkCZRGvi/kTo5r3Q3kqhMuccVSVsEB28aAiRCHVAgVQEc7ywxYWIBQQHIJzd55++LwBVLkSAF7j+/H+KIG9/fkFTMurvMs9fP8Nu+33Db77bmftckT5PgmA3l0tfhXz0QvVDqQtjVVhXplHiWR3Kzp5IanDqliyG1g1NAskKpuLTw7Pvvgd8NAeVHJLFD4cLiyyR3TGkky9W9eyGPUC6byt0uitovFENRXTX28b7LVS9kr1QcDiJuwrPr7vHxfY+C8EuXCh0L9kL2ZKaYu593dtF2m4ymUj7vuaE/iOhedAC+LqAnDTHapCPDMP24Hi+X0NkVs49lRaOlx7TdoQ2S7a6GCK7Oh2XTM5QHnhJArzyzI8HRQ9qxpy/dwdt48WK8QObCT8UwaUkj0nvIblR7uEmhW2V3u/0Pvn30z/X4x44gaz09Runut73wMlceeHyj7+TeHDEOD2V3yGjJZ01D2oGmVNh3+gzAq0xZtLpJqnBuYtl1ythBJij2XHZovNaKe67Z3+jEdV0xrePCEDtlxr6vTfoTT+rrtY2O+x6AQ7vqaCUfHUarIx7biuFqw1J0l+z5NcYeQ7ZqZZDtpr67Z7SHLdrg5ihD5oxQBA/f3qPFKamU8LWzNtFc8z6kUQx9SLofp2+KoY/D+Z3PQjH0zug+3IGqOOlqeXSVW+owqKxYUQSQRjoQ9cWtbiTdJK9reBneojGL60+uS6DwA+RJmUcqukuhSnN7KjfZKlZI3bQqyymP3c6FfFoKH3k6qdooKyKpVA/LtzjtnQgUm1EMh29FzM8jiQdWNl2JwtNFBIi1KdBGywC3+kL0iqNWyVJFS5DQb6u4oom5ir6te1EuHVne267inlOnDDZ1MAUrH7p5CJ/NjLhY5pz6c9CmYButr4HbBmLITlMQ8/qW61E9a3UtpqnwH4WDY4X2td+HEnHkelECRtkXsvukcgsXlDS7JwxPv1Wsj0rdrnaNlCtLnz5A165ASXGN2S9xE+pvRonyRIn0PpSL3Zw5JuadO4d0n4tkNSiG3ulS/SQPSjVqKNwnjQ0xN7Ur86R2A9yT7GgRmdqp2HdzG57Lg4nP0paVhwa+aLxS321pm687en4WMrj/mw2NsfvGJu39n0qORnFx0+uzvD5ePbiFq8pzS7Ld1ZG4l39N+kprO76SK/IEpkSVHbIjKnZ+/6ngzHfBYxPXvrT9emlpvZ+VKYfbgyT9dagHApmb1EGifSYXO2/ZrfKrXhue9aogwbHDCIoXH2cu3go+TqXGDnaLkwx3yRea/tauLFoF/zKmXV9H/2dI98N3iHv1Mh7X/wL3O0ktMDOLc/sWcpbICweVCEXsyuLV8C9VDir5xcj9fXB/1zIcmqEf8DSRCxI/M7n23un9M+5176W9F+/MSWSrUS6452LyrOWwPJepeNcVW6foMUq/Ssb9XG1Hom5HXZydEq/efIa8Kn4Vq8J7Xtic5jf9fFDnn8KaG6WyZrk64CeDe16IicTiLxRDsQjTQl1RDFkIfHRPSzEUXVIfsJ16Yq2eUEu1e60+inqSbbSlEvTZyFTFO9qjUJmyVJ0UKRoZbFWqaD7uWv+fyQ2s2q1xlTvc8GzfPq1I6roEt1HriB7gWy1LVawPbAGHoxI7IilVtZ0g8xtM1Sii4Hb1hP6YwS++YUNJTyZf/nmk8OUnaHee3ZEv7ofIkTxHrKYVVqLBeaizJh4iM1V/Z/ZxibERG1ZxmLZz9M1/32i/q52fU11O4cDNA1BJFlImTAlVrHTeiXnal3urhKWQokkbvJXYGScpQPpMtG8iWWqjLWicA62W6DtBRlPubcrNzWhZkmbRss0pSxI3CeI4xsHLgJfaDpW5dSrSCdPqTMOiU4vQb2YL1LwsSeKc42Foj9VIWFGvt6KZpLeGcsNUiRHWRBCroMSPSnigHiCoazx0XSH1t6UElCr8q3aYlPtddvGZiYZRDEUDkr00kRidzM3qIdFe/YFA6F2P6GK45XcNNZbk15qrgrU/lxqLRC4Gt2J5rfaSQrjud1Vi79yxrYU8jRBT2R6fvn4sO7JvsOD0VBzaOA4nxCvU3Bo0lY92Cc/8yaBjwou5Sbh3J7I0NSUg8Vr6H54XF1VgZp51KiHBCT1GUJvn8LF42Lo9chbKBuf79/Aye05c2mJK1uD49Il8nItbqliQszMc1feD+lkKrJ49dVWPr4qBeXT8EknW6a6wt38eqgmmkft+wF9np6O+PGszur7dGjIKKgW3sYbQw8YtcFNilpRlatUIrjv0rBbT5BlcF4O3XT550HJ8wDWJxdI/RwMdHeAUpLsg/iMfHyrGyP257ErlyAWvzfI9GMo2XV2F/23VH/Aoy540N/btLihpxNciIGly3B4wHH5VY7eEBMVQDC4eK21KMWSlC2McFsWQhRdI7dwUlaJ5xifeoYczYAAweHDMB6niIKLK3Fa8OPDXX/quUTJTIUZNQKkbR4MZC102lBCUZWFdvU1ja98emCGP7MyeMr4KeKXtShTsOQrZNprVo6ldO+Ib25jP1iqO8H/tr8XMGONwVA2eoRWHoni64rGSelqJF7dRslYG61WyF8pmLIt6OephwckF+HKFnjlKucYZExss/mIxPs/5OUbuHomrj6+iaZ6m2m5MhKZEeUTxOHLQFc9kyHL5QYjDe27oiXH7TTV9fqv2W3CtIPOGiV5J7SC5v+oh91BB8mS7t+idVK27YPa+qbgseQ3S6Q9rw9pJiR3Kl09PnPDLLxGP/UuZ//z5+vv/k5TGY0Kl5VbB5sbdIrlhi65RDEWXlJ20k8/seOdO67EpmcVn7R3M7/UTlJ6viwdlqjjo1wX+Jw8M/HDq3hH5p+/+fpamHGbWCrurq4RRwZlJcVzEUH7DToZK3pD5O/novgRMNzwzCE+suS37Gxl6yM6owZTQedywiRZzpIq/BqR0R7bKJSQeyvTQQ7m+3evaA3lySgElsaeVq8NnjlkwjryWQ3ZzXG6a1fKS1+516Io7Ig5ias/OHUDJavrnlBI41yWrZNW/c+Pe8zvoIh68Uwzli3ymz8PTarWR19MdDvKQT8UwXV38LxxePEfufJnhKGnGlaWXTbubBk+2/CmLYeeM10hyPGSMlWpXSby4R8mGczHZ9AqI64LzZ64HC7mnrx5rD6JWX/oLYw6aSkSU8I2LfVP18yh7KQy1+kVRuN/GhAnFUExoWWdbiiHrXJfgUVEMWXiBVHyDinOIyNTujsqkFRO7L3Eb7rLfb8g0FOWhUkhQi+Np0UJvqs5pFtczSTKP9pTvpXOTJdNwyJqbWvO3GTLoWb/Ms3gZTtp/a38M2zUMxeWB/CJxNc8snkuaqafzakcsFr8wopznB26gBEffLX3DnEUVBz3e6TiyJc/2XiNQuy2eE/SbL+OuirFD78feyDw+bIHMY52OoWDqqKu4a9fKElG6KotaKDsvS5XTXP+oDIGGTGuq6Zzjc9BulSkm4GjHo6j/d31cf3odNeTGTD1pzSs3bGrnx8kUA66dZaFoHOWaMtKQljjMyceKS5JyFVWmnjYrtzijqZpDGzfqMUWhbd48QImjWDCKoViAyC5CEFA31YVmJZdkZ6H+IEJx6lLoR3QpbIqvMX9budJdO70J3UQcJJA/jUR12+F7l3+R4sZ9XDRkpD9fPDfeLJVdUDNL/udUpB1k+px62KQlXLdtgvO9uwiKGw+XNu1B5hYN4HJDPrQNpgTJ/Y6SBryqvoN0v11H3B4SsoKseTyRaqN2iM5cEFURjQcPFx+exsqLC0VsBErB3zeSnGU2/OS5RwJ5VvgsV270GVUfU47KDrHgOv6POwqc1RXg5TXb8KJAIeQsnF0b/8scuXFp814tO5zn57qYOtW8HvLnMAnKyhnrYIZTG2Ru3TgEly7yfG5FhXTou/QmvjPUYn1So462+7dzbjfsurYBe6TWro8hwVwpqSKRXT4XM8l32kBDWT1jhwHJU+CyxDoZi/O+7+VPMfS+BC1/PMWQ5dcg0hFQDFl4gcwzrc2aBZQoobvLNTEUoVM3nermMwK7538PDZc0xLHbxzSXp3kN5qHsQamlYjx+uDyVk6xHUCmFjVZIUp4aXdaMr6mdIeVa90A+3VUKbIObg3p7hzzAfCilWD43PCh8mssTS4c2w5Ddw/FKvJPSZS+CA18fCHYJUy5Xo/aM0gLsLz7QXTyMtljut5sYk5yFuqm28Eq89+mjiudJmSAlKmauiPmfz4eLk9lNfTTPrGKF1DmU9S3TF79UNu2SKNbxh8fXmBtNuajd/+G+5qYWqSl3R3UdbtDTWpvb6zgOKNDpLfLJJbREL9MBlCkD7DLFDb148wLNljXD8TvH0SBHA/xe43csOr0I8xf2wZpfb4QRQNGartT3wTYJnBahHcKqSoEWFSukTIl3JdpVXJDhCbD2urr5Uimy0+mJG97XKIbelyCPD49A+YWeEs8XcpfVvF0cR2cs/Xw3sriFn31z9P6fMP+M7hIWL04C7PvyuvR3H/X+KYr94/2QR541Bchu0X87NyJzRlNcn/uY4Ug13lAhNpyB3ZWYG1X7x7xgql+5SpIEoS0ydpStE7FbstvzQHZ9zC357D+QdoDE7hnshSRRuLxxT7QW//NlJeH1OGSs6SEpY1ZUz9yPQ/LcQ/1T8VKj9VAqvJHCrucPyTHyMC+riDSVrvuN7GqpbHzpe3cPzvTnPWE6uibdhIO3dorLcApxSfwNhZIUQO7sqeFopkWzSehSgVJtcHfDXOycE/6w1e5bfXle9Fw+YrZHkQdIE2YiLGPjgR/FULQuI6tuRDFk1cujXOf3onTp0tizZ4+42Yf0G7byoX8awzPG0ihXNWMSAjUzlezA21u/GTQUMlU3nUpo3PK7hbhx4iJ/qvzYcHkDJh0yPAaUw6p5VsOGW5LVRwWUK1M3uEpcKbchoynRpW4id4R6nBVNor+P+hxj4hzETT9xTjdYj+I9MK7GOM2vPfmvybWg/fCskyQ5mmbMgNRLAl1HR/ylHM3hWEWzhScXotUKPQNSGY8yUMkB/rv0H5osDVtZ/V2LlKq1rrFQ0h+JqTTW/ysVsrp91glZ4fXIK5hHuYzlsKNtNNZYucWZFzFtI/7wKk5HYsO+9ZmGSffE50Y9kRWXnAIiipAggeQWFp82qeAeqQ0aFMLF83VyNwRK3E/8+IkQJNngHFVcWmhTglxlJ1RFVsNLHKJEzh9yl6QEj0qYoNqVl+DsnaaYJXTsqLeJJaMYiiWQ7CYEgYVnpmm7HcplLrSNqTQHuVMURHrXTBFSu+N/E2MO9JP4xHtomaczKmfSg2KUO9exzgXRbbO+Dd+/pQf6HUqAuFcu40mt+giUgq3J582MsF/lapbgyCFxMTNkB5WWaqcjjqTZNpoqrOonsTrmFvfyRc29zpj4YFp5V0xqnBXfFxssSSNMiQxCn1h9ZxSZnRIBb0Nm6ZssHzvfRJJrx/d/fXG3h/49l7l5fSTarX/WmRd5VT9f2H083MKtgQ2LoOAh/fNS7fiUkczgE6otQvdNzfGrbDj3DrmhFjzsOZLMUiWT6RuqhNPrDB54JinIky0x1EaTI1T9p5e5Zfv7PY1i6D0BWsHhFENWsAiRDcEiYkgFL6t6M/4SUK3cXlR8i3LrskdLkULfjckvwbTmcUMqZseY/ECJJBFLQ3cMxYDtEkMUiamUy099v4LjhIl6KyWELot/knmdFXXjqFza5Gn6+D4V8N14UyCseddXRJ9lMbq1Gd6YL8Ps3codvs8NjuqG111dXHGv9z0thbP7mLBrqW7MVZB9dvk+vWDQbkHdv4XjeLMdKxte/9KzSmPvdf3bc2y1sehZUnftGrdvHEbvHR0cw2Ocom8v32gXJDUeoxINtFiuuzLOqjcL7QqZXNPUa9XmV8OmK4bHpvL7hW4XkD15JEkCVACxSijw55/A0KH6aVTM19dfB6/EkB1DMHD7QO33uVKSp7WE72im6vdElZ3QPGmGuuZUjJq5m5tKhqCSIhhNub2p4rwxtfGS/lYVT1WmArXVrmeuXDHtJcL2FEOxhpIdhUNAiZfKi3JKKnxdfGRPlkd2hKK3oxIRUJd/lyDHN/JQIBxTOxbxLoRf9FQ1j+r9gGTJcf7AmXBTdjtvXIW1f7bF2RRvMVdEQ6B4DiSLlxLrm56U3StxLwjHVPFUVRMotKWRRKVjRJQ0kFsF5S5nbm/FvfrsaW8EJdYDgUK76BnbXps4E08a6LXQQts9eZg3Z25TXLp/GqfSu6BenjboU2IUyszPJGUAnuJn+chqfkM92HuAMykB8f7VbJl8tDhLDqJ6BqeHw5L0UtWPSjp0AZKXqIMsDWsg4SH9O9Xnj7l4JK52C2QHz/vJZaRJmB6t8naBKrYbE6MYigkt62xLMRTJuly8eBELFiwQt/eN8PLykuRcL+Ep7iGNGzeW7/YeSJgwYfDRg+Qp6+AIAun7yC7AyJGSHvMdzCJiSD15Vj79RsuSRa8bElFms3eYl00cop6Cp0qlDzV0IUm1a6LiJcTWNi+CP+t7aDfbvv7q0Xzk9mJTccTbozs9X7y0H/VXt8Bv071R4aYL4qsCdqogquGpft6JufDjjPNoJprpZVxHJKpUAwcDfLAi8AymiEfWXrlPVu4WyrZW8UTlMqadh9Cj2NBqg3zIJ0DZ2aZK6GoX5LN0n2FIxSHyZRgPHX6vhBnfi/uTmHfL2si0IOJK5lHN01ref/7mORKPSBycavVlv5fazl1oyzYxm1a4VNmmLzdBpbGOiU0+OBnd1nXTDlHps+vnrB/i8B7re2D8Ab0uRiKXRHjy4xM4Ohh2b5Tbo9pJUe5tKpPg1Kn6jkroNOfyOQT192iw9ZfXo+ZCPTNSH3kSOtJYo7WcPOl9LimXlPhQu5DmokY1NhcoEbl6qjglFZ+mrke1M6qSI6gkHDE1NTc1nxsSvK1EfyzvcFMMxXRB2D6mBLZ6r8H6K8sRXz4/VarmXClESbyHOd+6gZzFw4mlC9Wnf7ESwTfuxrdUrSKnJ2F3q4zvX12wHM/Ki/t2KFM7PP+cn41he/UHQSpzpTH9dPG05TGjpqHwdqjjVJrxSotMroCebrlQOHUJfFP4J6ySZAVHrm1DobP3MH6iqSiqqkt0cZcp213KCWOQerTUszOzC9sP4bVn1HGayrVYfU4aPyubrCyH8w+MT330Dh3kuVGQIfv5evHgzSrlzrLKM8oHbnGRoocpecLuVt5IvXUHPDvq2eZuSra7OimW4/hdQxCSvBZeXamolppiKCpC1v8+xVAka/SjpIudOHGi3EfU1VzUXOSp6Tbxk18igcz5Zadgv9TLiB9ff5piFEPjxo1DCrWbYGZ5JYC4oKrB8Q5mETH0jaT5VTcv5qbSPKt0y/ZkShAqYahMiVmja5v6/ZJEnhtS/6onT8U6hQSTyS0TVNB8aGsrD8VnG75zVDrTb5e1x+TDul+5stA36sqlTaWBdpInXakTp8H/SvcOkQnscPPtKHJLblqllssJd8lgNF3ijcysSJoiOHJbzxKn4lh8n/li1nFxwxObWXcm2hcOeXO7e9dClCmnu5Ptr10AJdZEUDzThq4Dr4deyDpRSs+LdS7SGVPrhLq2DXNZcW6FFt+lLDw3N/Mpq/TcI3aN0FJSdy7aGYXSFIL5Ls2udrs0d7xgkxuRh7+PwJ7Ns7E5TzyUazsIjXKbpWSfPl2yLphdRKruTujEHOpz5Y7Em5m5p6kbnN/3/46jd46iw600KNctHLdGFWOmdpiMplK3K/c1lchDmUq/brzObWhdjUOlGLLBRbP3Icvfbfq8qZH0qelGPTSSJ7Xr49rUOXDx8YbDm9dI3/MbJDhulvFTDghImgwO4rbqJLWBVJpstdPxTOrvhGeLJO31CEl/bbROhX7AH8dMSRY2Nzsnu+GG2mFmHagdk3pLJaOqWPPcHdBX6iqFNlWbyJjJTr33VFJX+8wyFVlyevgA2aqXhfMdSdggdldqPvn+qO9ox9Tmn56M0eJ+GNr8JfxWJapQ38eFJZZJPWa6U7wI0tQ0MauaqT7896zBnhl6eYyHKZOgbOMnOGvmLFHBoyYmVA1VICqKQVIMxXQVra89xVAka3JYnsqqnaCkqmigmf38888YLoHvkyZNkoe5epCiUQxdFZ/5TMYClrGw3hYRQwcl/Y3y/VfZxL41K7i2datURKsYC7OykS6qSW7hTQa3JuXOFqruTmCZ0nDasxeBkobYVZL/vBCPQvXEX7lIqZvl7uu743/iTaF2dS5Jxq+p8n2yRfSVs6EMzf7ynujWwi1YrCgqN3veFBeAZ1hzcY2WgtnodhUesbzuebWaNEZTN8Yl/iyBgzdl/Qy2sOFCtFzeMszhbvHc4NXdS6txY25XTu9Clny6//jearlRaoPpaZ+NrFqYYe67vg+lZunxdgPKDcDgiuGnQjfPBtcoVyMsbWLMSKB3qfj23tQbf5/+O0Q8lqrbc+nbS1AprI07P2e+OYPcKaUohtHU7kpzKa+uTFWcV4VuzV1P1e6MSkgQkamMgrJLjaZSqCQiU3+zZrtGIZoZXDm11yT+UEuyYDS1c6P6t1GjGLLRhbPzYd9vWxIVt4QqgG1gomWN27gbr7PoD3GUZWzTBIm3il+amfl+30dSaveEw8sXukuaIfunr/8trYCsR+IswYlzWv9bPXgHxNUlCZY33Ifpx8fIbpH+cEzFNfUpEdaD5fS9o2ixWt9p6lCgF74takpbbT4W89pHt4b+igdtQ7oBKsEU99JFBIlHjUoR/q6JC477HkDrNSHLD2xtfkE21Asj4ZOQtdLuf9UJQxumwoTDpge5HuJa7iNJYs2tniRdWCNDaifP/pSQSuOWGWsLJsIJT1dkTpIdvYoPi9R1jmLI9v+YKYbeYQ1PSl2NAgUKyINcKUo4Ta+qZi6Gkkta4nhyw+McjZSVUZ3eImLIfFDKLUYF9CuTXa9g3/+oBm6t7/+fvfMAi+J4w/iLNAVFQBCRjr13BWwYFQv2lhhbYmxJTNREo9EYS2Ki/k3TGDVqYo29gRUbqNjFgl3pWCiiItX6n9nljjvqAXfcLXzf8+TJcbc7O/ObFfa9me/9+EMor3XCtzjysZllFtLL1mVb9hUT/yaerwDdYeXEs0TMRwNhs1Z8YJ6zZAC+GbtOEDoG7Dup67E3MGh+M9zMXPRROpt/e9WeffmfksW0LDfxkvXavEbO4q6L0dqxtdJH3L3uUMghYUsBN3CoZ10PtZfWzuYal9X6WdZI1N2LcKglOqKdfq8GPI4qu83p6rTm1a89t/cI9YV4/NmNfYHRUtllSXYut9M1n2/OEqbFgjr3v7iPapaZdUquPr6KxityXuH1G+qHuSfm4lSkmLX7+OvHsCmfscWSv8EL2e7aldlNvvLK3+NftPDtaPw+VHRcUxzQBeZqwXNsFLbl5jhe3g53eeOiKGt8w74RXrCAWVexAiC8hpQseJ8U89UkOMEkhiQ4adRl5nb2Ob74LjOZXxHJutGeWNdafBDnIqVSOWvYfzkGFruUC8ldD4nFu4w8v7TXqfjp9GScij6C+FRxu3Y189rY0idAqP/jva2JvCA0LxTLC8Y+SopCly2igYBdBSccGJS9tg9v77NDYl7PRGa2MLIhK5aUQ+gzAwezIwcFM4cXnmyLsYa+YIlKDBPGIovyhmYIHBYBpxbVUTFG2f2P5yTdZU52XdkYZVsC+S6L2ywvlm+jyy++YcP4H/sTO7PNbxhYWzkHVPFcEkP5kdT9z0kMFWKODrDE+e4sgX4m2zo2N2PrmEwMmbGHmsTERJbyUQZNWYIyzxcaMCDnBEFVLq11MXSJLTHzoqM8ZA9UqnRcV4/hxgSnMmxmeH2UjLyfbN3lW4n4HxmexN6Rub8xu2DuFsftiXluDRca5ycPhvtv24RTg0d6o8Ed9pUTd+DKqJydG4Iwln5R/Ut2WD5mX3khfPv9W/bFGluSUiFuxd0SVoy4eQKPGpY1cGzEMdibiQX6FCMm4iZsnOsJb51u5wKPAJaIL/FYFbQKo31HC6PgRU4H1cvuICcb4hf7v5C7//F5TvgmgeUJiFthh+4cio3BOT+88M/NU5lJAkvpMWd51n/OuwzDhhnCKYFtYOfCmruw5RRD2bZEvuqTU/DVIy7IVZxrtlyduZrLLa2TksRWeb4fX3mS/Vvm73EBxg0R+HESDhJDEp68Utz1UxfX4NO+GcYijMOzHn3xpGs3DAv9FmfMMh/qHSq4YPeA87BfMA+V/8pc0oiZ+A1iv54uJ8jzgX4IzF4Tb3mXnRh3SNz+y+OLZjMxunGm0+Wo/b1w/tEJobDsmeHRbAUkMxdacYscP5fbXg+qw2zdtBjJ7Msq9/WZlv5t7Dvjry7bYN+uASzCMrcDp5U1REhQCN5WMMPhsD3wjzwglDYwL2uBzmatcWLZR/It63kNZySrc6330URMsR2JqjOnwDDmMVLrNwIvhiur0URiSIs3hJouTWKogCDfsIfkNmyLCd9Cd51tnapVS0ws/J0V57xx44Zgg81Xhu6xnJLFrHZMBFuJ+B+zJ57ME+7ziSi2r5//pxjBwcEYN26c9qy1+cMSzzngMZzVMFAo9pnfeHTucy5S+BYlWY0e/mDIv3XPKRTHzR5W0/9dJaywyPKA+Daz1lefYW/BthYLV0rZuQUjXm9jhet25FvUL6euzfGcg+/b5+1al/U8nit0+fFluS0+AAAgAElEQVRlwUChtQPb3leG2QjlEM8ehcO8qlgc9LSHIzwC2UqaxGOO/xzMDpgtjOLY8GNCLaHcgpst1PqzFqITxUrtP733EyqZVBIc2/jWx/Zs0WX1Pn24lGF79dm2lLk1HmJ2qxTwAn/HmBu6sbgVXRTSfIWGO7DxrZZ8y2VhojczYdi9u2Bn8uvy2kR8lYj/fuIW8DkFt27nRgsSDxJDEp/AUtr9V29e4q17ZXmtnnBWf+dCcwdwg4Cssb7nYTR7VUWoE2T0IAppNevgwXxWKsFEFC7P0hLQbmOmsYri+W5VPXH2ob/wFq+NxOsdGbMvemSx8Oy3zE1NzKP8r9cx1LduKrxOeZUEj/WO8tUk/t4a7wPMPMFdqzPGtysP2t0Wd1ghWB5z2i5B35rD4NqjA0yvsqTcjHg0cBDif2W5mLkEr2sUc3IbumwNRLPzyl/6XWGL+o0zvJB82MaQ3swk9Mjpeujol7lt/J/pg5DUvQ862HdB2dhHqGHELPVqMEMIXtqgGELrX5QXwxiL8xIkhgpIm+cI/fXXX/jxxx8xY0b2JD7F5l6wWh9NWAFNLnDC2QOJLf92OI/Iy5FOa3WGuHDgjlR8Cw7PF+J5Q1IN7malWCSSm1/wb86z1mO5yWxNFfODpkzBuS/7C6srilGWobmxNIu9NU9uZ1soeQ0YpeDFWjlLXmyVr7Cx4LlBr968wtGwoxi4TbnatuK5tSrVEkRY+hsx2fb8qPNoYSduZVN3pDyNhYmluL3rTMuqcD9XCCtldXeqiO1139gdB+4fEFpRxTJb0SI766XPMmfrVlmQeLAvSvle89FZppwlD4qCiNth89o6PLjjJF/p4XWAcloNatYM4Kuxsshq3FFQFnxLKP8SI2vwfqkxt7Gg3VLn8SSG1EmT2ipOAt/uY3mEAQcE6+ffJ93B1djzmHR0mNAFAz0Dpdo+3PZ5ededcDFXtuPfdXc9Zp3MzO21MbXDUq+tGLBLeQs1b3Nck6nMBY4luCrE3vtbMD1ANG+Z2Hw2RjaaiJfsb80Qn45ywcE/W+q1DW0dcjZnKE5m/FrcTvtklJ+w1c/droOwLdxlUA+UP5NZXCinwrM59pN9SVqzQ0uhzhOP2Gr22LdpOYZ0/xhG8XG4xXxr6jKTUMUis/y4KQwFL2Vxd5MNzB5mKCeeb91CM3+bs/adxJB67zoSQwXgKTNOGMXqfPzN3J9U2aa0dCmz2x0/njlVr8OwYeIvudxCJ1eGeGf5QxPPteF7gPnKFXeiklpwMdeJbQDOKub4eGQrX7Ix8Xor/JeaLNjc7WpeXu40pjj0nqZNsfJWDdgksiUBLngmsP3UvAgr/1ZeFrzeC6/7kks8S3uGaourCa5xPKpbVseu93cJRgj8l/yAugPYN3/PcC76HOpY11FOzFfzPLxJSYa+qbht6kwzG7hfZA/uEg6eB8Qd+Tg/vj3w7he55EDxbZF7mM0fv89ZTo33xUlCUVbF6MS2wB1m2iJrXBzcHhZ3I1HtUg65OtyRUFGM8G2U/D7hkcr21R09CmxneWfcnZB/2cCtrPkf02dsyyVfXWIrwzLXwkJNA1utBnOzVApuk88FewkJEkMlZCJL4TBWX/0Nf1wUDV24ZbchW7lZz2re8Jjb9k8sPDsdSa/E7c08htcfLyTzy+LcwwCMPqBs4b+wwz/wcukjrJ7cTVA2wDkxJJRtE1M2zXn4IhJdt7KnehbWJlXg9/4NXI45i5H7M3ML/+i0ER2cFHINdXCunD5+n+UssSLmGRGxcgMSWQ0hVcKQrbZVOHxQ2I6c6NVdKALr2q8bszU/g3T2/aYD230YxVKm5Sv/rNHf2K9xfbbZ5EuFRwUcZG10UTZ3UOX6hTmGxFBhqOV+DokhFXnKVm2Gswebf5nlLc8JUiX27dvHStT0YKkprNAjz1EpYOjEDc9ttdlKmBC8EKNiAnYBx6O1w3lhU76EnTWyfpPDV2/4ihF/OObBx87+++vKSny+X0y839R/E7iBAc8pcTBzyFkU8zyQjRn5JdwyOcNoI7fxhz0Nw/pr69kfKnOMaDQCFcuKxeqKPV6zpf4M44+zjSrB7UpmVfNi74saLhgcE4yGy8U/9FOt+mD+qnBR0POiuStWiHPNg88Vn7OMCAm9hOrr2CoNi9Gsyvo3rF4rr10hD77Ss4pViedbLz09xdwbLmjs7MQCvbKCvIpj4L8z+KqQNasQmFfEsG8ZmUmLsDrJt9kVNfi/XR8fsV8//5z/9Yt6vWI+n8RQMQOny6mNABcrOa3g8Atwtzde8JXbX595KDpNtnfsiiWdmTMli+jEcHTfpmzoorh6cyTcB18dzVwVrmxSFUcG51zM9VNmkBDIjBJ47O5/Tlihkq02Zc0xUtvg1dyQxZYNsJvyBfTYF5+vKlfB3ePn5EVfC3MpO2ZlbrntP+HUBWyRbWoOdXbvMl1ZU/Z3gTsL87IkdRVcRAtzYRXP0YlnQxX7KoXDSAypMEu8mCoXQ0PZw9JaljOjqhDiTfNcokmTJrFnrY348EOxOn1BQidueF9fVs6ZZRHy4IUXv1VeZi/IeLR2LP/2nRXLzRYsH+MsWwG5HX8bNqY26PqgHPRk9uFDhuDeH7MQ9ixMSJxfd1UsRHt65Gm4O+Szb5qLKp6wzrfN8eKZGnLWUTtPvoKWIfTP1TdHq2AVLHfU3omcG3yS8kSwteYrsoPrD4bF2i3cxlFcYfn118yCoGzrY/rK5Qhb+iOcw58LDn8v2CKLedaSHrwQKRcJPLi44dvZZMEYLPX/HzaeWYGA6fdYRXPGRTG4VTU34+CW64rBcgZZlWZRyGTN1eFmHYX4QqSY8Er2MiSGJDt11HFG4JP9PXHhESu2rBA8t+fc8Acw1BftRj031kBCWpxg73yWmRzwGObrJYgWHny72L6BPCc00/yA5/y4rcs0yWnn0AV/erHfmTnE5pur8NOZzLzmJjZuwuoQj/U9/NDIhhWClkAYPHoIg6dPkO5aA+94fnARwnrJL6iy8AeVWkht2hzlLuWSf6xSCwU/SCeeDQvebZ09g8RQPlPD3eJmzZqFIezBmAshfYWCh7JTX7Nv05+zitDcOEEx4lidHp4zlMDcpHjOUGXFuiIq3hI6ccPzLV6ybV+8jglfZVHV3UrFcWr8MC7geP4FD/7tDcv74rGcffn/KXsm5sGrWL9YUh6mT0UHrn2j2qGH/YlsXYucGAmHipluNhrvezFf4LW+HgwYi/O1zdDyVu6VztXWLb66kpKSr6vZB9s/wM6rW4Q6EF++aYYP1yjk1sjyc1inXnfvBoMDbLuCKsENNLiRRm51fli1d/aPO7MlLppYDhmqs/ofvDAqL1iqGH/8wTrHrAK5yOLmB7LgJgp8myaF2gmQGFI7UmqwGAk8SY2Dz71N+O1CpilOTct62N43cylizIE+chOEMY0no4OjNwb7ZBrB7Ol/geUSZd/5MPfURGy/swb6evrg2+c6uyhvqZMNMzIxFL23t5DbTysOP2BICCzKKj/bFCMerV3KbO9uOH36kdL1HzOtGeDMyr1lKb+XMOpTWK7MpY6GhkagE8+GGhqbNpolMZQHdVm+j6Ojo2ChnVUI2djYoHPnzmx7/zPBHKF///5o0KABLC0tmV64j9WrVwtCiBsucEe4woTO3PB8deNEhjDIoQBpYcZWrOfI8oDYCs07Zq2tJ8vbYJ3ownZH+bFn2+rMzfTeksxeOTLX0yhmg60Y1ibWQhK+KvlixTo+NV4szVAPZdluuQs1TNHiboY1sxrbV/7r8hjprZrDOPIBTlY3ws8z2uH3nktRs5JykjDP/XGca4GjSxJRS7mUhNgcF+fJrOAeFy4KRiXRzFH6YSUjNI9+gzKv2dZH9u9T2MawReEbUu70xldz8gq+dZCbDvBtcLJg22UxUsFmlq8K8X8jsi20/N8Jzx/jOWO8ThCFRgiQGNIIVmq0mAmcfeCP+WenCu5tX7f8QdgSJ4sDITsw1Z/VxcuICc1nyXON2tp7YWkX5fpDil3nOUF8RSlrrlDW4XFDgs/9lMsO8KKtewdmdYYpZjBaupw+W/2v3aIOyqQzZ86MGMtSkP5lOxMDWenFFg/FN9c01oP7unuoUd9FsCcvrmcDnXk21NL8qPuyJIbyIPoRS2bmq0G5RXsmEPz9/VmtxHRwl7nzLP+EmyAksW06XBC5u7sLW+T4cYUNbdzwQY+CcDPuplCws3GVxuI/bl54lRcp5cFzhni+heKDYWEHWBzn8QdkNh9Cfgd7YL2zezUudaiNDzN2OCWz51xr9mU//+UWsEbs0Bw2ZbNzcGB+v9772DxA3LNdUiPZuAxMX77DJddyaBbCVmzUGNyy+lrMNSS/TBYKxtqu3Qm9LzKdkHhNBz/mPbF++C50aCwWSuVx98ld/DaiFpbty6Mz3KmN1/KZN084aCvTPCfnf4olPdk3dk+YgnrIJpgX0JUV0s2p7g9fNeQrRYoih68O8VXFrF9o8LwyvlLEra+5AOMFTHPKS1MjP2oqOwESQ3RXlHQC3E660T+sQHMOwXN8XM3FEh9FjeMR+zHxyBB5yYeshg1FbV9q5xvExcLm59nQf5GImC5eWOgczvK4nqJpZTdcDdoKn4SjQuF0y7JWgtFF8KfB2b7I09SYtfFsqKmx6EK7JIZ0YRby6IM2bvhpR6ZhQSCrVs+if53+2D6I5ds8YnuTuOuarKAo99Lnzmx8xUXXg29l4luaeDAzhGU9bfGF72d4shComDWPJGMso9jWudVi/rwQX7t/DWN9Y3ze8nNUraCGpHYdZpZoog+z1Le47GSEJuG5AFKl/9wi+iTbC8+FaL9+uJYcCrdVbkhlldJl8c9FO3y8N7t991umv8uMHoN3y5bhQdJDrLmyBlUmzsSozDIS+fag6Wf6OPV7olBbKVvcupU90ZWbKnArat5f7izHV3m46QB3g5PattB86ZScA0gMlZy5pJHkTuB09DGl4qn8yApGZvBn29i4C526IvTZHZx/eFJYSfJ07MaMgjJMZtR1gRLSDi9wywvdKobfUD90rlY89uPaeDYsIVOX4zBIDOn47Grjhu+5qSf23mWucRlxZNgRdHTtyJJrPlV2RePbgtiWM50JlqOFHTvEwqq8ng8XbHxrE7cq5isDLN4xW+EmZ0bgasxVtGEuyieVf5fJh+LNvC72Z+zU8nT2xPERoptPaYin5Q1gkfwGV+0N0SiKrbQUJrh5QO3aYMumwtmvxoxCrbpHBTMKxVjBUmvG5LEL48PJLthUXjznDPM3cMvQTcP6Ml3OBNNhlsJ2nr3vnCW16TTT7d/MaY1TI/O4P48w9ySey8Pz4LhY5lbWFJIjQGJIclNGHS4kgR8Dv8bW26vlZy96b41go01R/ASWXPwRK68ukl/YroId1vddn2dRb3X2UhvPhursv661RWJI12YkS3+0ccNffHgR80/Nx45bTFiw6Fq9Kw4MYUUr+bYgnlvBt8vxlSIei9gvg6+/Fl9zS2B+DN8ypI1v0rt1g+Dzz2MiS/jhDmNsqyLOnRPfe/993PlzDmovZQ/pLFrbe7BtVLHQ44YQWeKvteOxMMEXtaxqYXHXxcL/S0s8qWiISomvEWyrjwYPWfJQQYMLoA8+ELePZURwZbbIwnag8eD1fu4lMBtqFrs3MZ+BO7lfYALbNr84oyxPJJtOB1Zy4zbL5a2TubMO1iytaTDb8viHgmfCt0y79/w3EB4OHgXtPR0vMQIkhiQ2YdTdQhPg+US3n7Btxq9eoLpF3VJpbFBoeGo+MeTpbYw52AdxKY/Ro/og+HwoOp0WV2jj2bC4xqaN65AY0gb1AlxTWzc836NceVFlxKfEC0VA730hPrzy95lfOPQULYK7sidWvoWO113h0Yd9U8XzJ4ozuAgrz4qFponJjm8sLaDfgG1xCggQe8ET2NmWrX8jfTDSR0x6X+a9DOMes35PZpai3AqbP8QzUwxwy2Vu2VxKI9bSGJWfvsSNynqo+/iN8AveP9wflx5egpWJFQbWG5jz1jMZL1ZkGKzYsGJwa2sz7sjO/lac+vgUKhhXQOuVbrj5v1RB4OQWa1lt0I/YKtCYRp/gr/7/sCJ37+DvUgYdRrD8LxZ7B+/FhYcXMCdgDnreZqWCWHmeaDNg/IF4GJmXPgek0njLkhgqjbNOYyYC2ifw5u0bvHybzv6emaKOLfvDU4yhrWfDYhxisV6KxFCx4i74xbR5w7f+pzVOR50WioumTE9BcGwwum/sjrinD+CzzQBd7uSxapC1mGlBhi5bdVJwBcvxdC6AeA4Td/oKCRHtjnOLnTuBvn1htdAKT1LFLXNXx11FQxuxICdFJoHYyqaoHJcirMBUjnqCTcGbmLhgAicjvnL7Cr90YTVzcgouli1Yoq+iHXXGcRuYkVvt9v3QfA7b18byctIX/gzjqdOztXLboRxsY1Pl+Vwxd4JgY8ZWGzPuh5i+nfHrp01Qr3I9DGs4TEj2XXtlLU5EnmDflFpgssfkEp/XRfdrJgESQ3Q3EAEioE0CBqwcBYkhbc5A0a9NYqjoDDXagjbFEK/rsuWGaEE8sO5AbLu5LXOs7Jl3i68xBgXlkmDPa6rwfIyCBnfx4pbFPPi2t23smqaZheTkzW3YILp7cTtlnrvEt2UpuJIpXXbCBGE1a+WllRizl7l/sTAzNkPCNwnQL8OKolIoEYivag6rR89xn2kaj2+t2TYAlouVJX7v8jsmuDGuWePuXaCWuKVwO1uMu20FfKdcT1DM4WI29Jg2LfNsZrAg1OZhYip63jREr/oFbvczLU0FN0OZw9s337CS4KLBBwURIDFE9wARIALaJEBiSJv01XNtEkPq4aixVrQphmb7zxa2H+UWFsx1OYE5suUYfO8stzKuUkV1NnyLGzc94KsLsuDb7/i2Nb7NjW+/ku3JrVcPuHkzx7bvMjOwqi/YYhH7/zpvezSdMB+9avWC7S+2bK81E08sxrcYjyXdFYoKqd7LEn9kglNlWEbGIZw5SrtMynm4ZfTK4PLYy+LKGs+52sSSf8ox1yFe3JYVIebB832usOmX2ZXnCo4bLVxj+9t44VUe3Mqa1wEaPFj5XpA1wN0BR4wo8fNAA1SNAIkh1TjRUUSACGiGAIkhzXAtzlZJDBUn7UJcS5tiKDE9ESN2j8Du25mJ8HwIta1q43Y8S9Bg8ZD5J9gq1uXkBSdl9tvcnrgXKxyjauRkd6x4Lq/XdJy5uvEtWHwrVg5xjtXEdBud/YM/uv6BCQfFlYwWVVvg3KhzxZrsqCoCXTjuRU1nVLgXAV6w1CHDG+OzZp9iik0/jNvwPtKeJwhObkburXG4zd/Q4yYVicqJP0+YLqrBTA7emJXHs5u9oMfvBb6KlzWcnYE7zEEhJye3G6zMd/362c8JYvZzTZroAirqgw4QIDGkA5NAXSACpZgAiSHpTz6JIR2fQ22KIRmaO/F3hCT1W3G3BDOFbjW6odHyRohNjsVhVpO2k6JbspeX6DjH46efxJUCVcPXVy6e9rCdVs3YwpI9W+FRCm6ZzbfPyeoGeXoyz+UzgvlBIkvS78RKwoz5dCVORZ7C2quZBXM7uXbCkVBmpcziV69fMck9lyUPVftago9715gV2r16FfFmBhi0uC2mtZkGr7kb2TLbOpVH3YvtWvRlCz6t7Frh7Kizmeft3y8W7OWrQNzSmjv+5bQNUnYGn1sPBUe4li2B06cBfdreqPJklPADSQyV8Amm4REBHSdAYkjHJ0iF7pEYUgGSNg/RBTGU0/iTXiah3l/1MHZHJKYrlnJhRTKFekQ8hgwBeG6PYiQkAJ1ZUTL+7X7btqIVNt8ax4Pl9WCSKFJ6s4fp/TWAaukmuHmxFcocy6XOzwFm+c220P23fTY+jV+DRFZiiNcE4rWBzkafhftqtmrBwtTQVL5FbsuALRhUj4kqipwJNG8O8IKplZiDQnw8hHwdbqeeT/zTGIhiO9wCHVi6WIaXxYcNPsTGfkxIFSW4y18EKwrFVx25gOL/pyACGQRIDNGtQASIgDYJkBjSJn31XJvEkHo4aqwVXRVDfMATDkzAev/FmHmC2R9bdYSFByvuwpPbzc2BJLZ3jq0w4PJlgBdDnTmTeR5HA/v2KbPiD9yLF7On6ChgOnMWy9hiV5/pqRvM5ZrH0Or9sW75Y+idClQ+14pl54eG4rVpORj+kFmBm9uA8xWshNQEVFqY3V45cCTVn8nzhnVjhX14bSZuVc5txxVtxt97D68unIPhC+Utby5sB2J4DjsXp7aeivmd5mvs3wc1TARIDNE9QASIgDYJkBjSJn31XJvEkHo4aqwVXRZD/1z+B5/4iCsG09tMx7yO80QOrVoB3Frb2BhP46MR5tkYTS89KBAjE6aLUtm2N1k0smmE/W5LUHWHHx4E+OLG68fY2dUR3QbNEIrDrr+2XjjUxNAE8VPiUc6wnFATSVYrSdaObXlbhE0Ig7GBcYH6U6oOVixeqzhwnv/FCqk+X7UUFcdkVj1dxhaSPuuRM6El3ZZgfMtMW+5SxZEGWywESAwVC2a6CBEgArkQIDEk/VuDxJCOz6Eui6Fnac9g96sdUl6loI5VHdz8PMPdbThL3FkvipO1n7fGiKVZVnTY+6/KGcMwNWdb7iDmQNaMuWZ/7f41lpxfgpdvXgpt8Royq3utxsBtA/HmHasxlENwo4QvW30p/2TZhWX4bP9nws+8XtJ//f5D3zqsiidF7gRWsjpAY0QLcnksYk4ZEyeKuTpHj7LkLGadnhFp839E7LhhQg4ZX43rsqGL/LM9H+wRnPwoiICmCJAY0hRZapcIEAFVCJAYUoWSbh9DYki354flip9mZXRaIzCQbe1STCTXkX7zB1+/ENEwIWZyDCqbVha3u/38s/BespEeTF+KVtlJbCdb+VdMCLGUj17MNXlOQkO0PMAslTPi2ldDsenqBmxmBmJ8y1XUpCjBCGHIziF4+44VV80nZrefjVmes7IdxZ3v4pLjUMe6DqxM2NY6irwJ8C1yfKucLHgx23v3Mn+OiQEcHYGXokhlN6fc5OD129fw/s8bh0MOo61TWxwaekgQoRREQFMESAxpiiy1SwSIgCoESAypQkm3jyExpNvzo/Ni6KeTP2HGsRkCxWoW1WBqZIrf7tfAe7/sUCL7wNIQVePS4D7bHrdfPsJzZr0MppGavSiPo+/vxwWzJHTe0l1+Tt/afbHz/Z3Czy/SX6DFyha484RZMOcRAR8FoJ1TOx2fUQl0j4sdxfpQ3PBC5hAo6/4p5ppx6BCbwGZAnz4SGBR1saQSIDFUUmeWxkUEpEGAxJA05imvXpIY0vE51PWVodNRbOXqn9ZKFHuxEkR7NiuDveNgglqRyfAP98f7298XtlTlFvZm9rjx2Q2YGZvJD9l3dx96bMpMTHGs6IjI55FKTfBcIGdzZx2fUQl0jxe95XV/MoqnYhzbs8hdAimIgA4SIDGkg5NCXSICpYgAiSHpTzaJIR2fQ10XQ9ykgJso7L27F3EpzDWORStmDHd2tTLYq7XM0ej2U+FNfs7JyJNov4YVUc0SXACFfhmKSibZXeCuxVxD2NMwYdsVXwEa6TMSm6+LqstI3whJ3ybBUD/TVU7Hp1a3u/fXX8CCBYC1tVhfqG5d3e4v9a7UEiAxVGqnngZOBHSCAIkhnZiGInWCxFCR8Gn+ZF0XQ4oE4lPiYf0/a7iyUkIhzC1bMc43tUHLS4+V3lt8bjHmBMwRhExT26ZoZtsMA+oOQEObhiqBjXgWgWG7xMT9Ca0m4NMWGfWNVDqbDiICRKAkECAxVBJmkcZABKRLgMSQdOdO1nMSQzo+h1ISQxylyx8uePI4HIlZSssEtnVC6xPhOk6bukcEiIDUCJAYktqMUX+JQMkiQGJI+vNJYkjH51BqYojbXm+/sR3pP7CtawoGcAFd66D9gQzrbR1nTt0jAkRAOgRIDElnrqinRKAkEiAxJP1ZJTGk43MoNTH025nf8JXfV4j+BbB7kQn3+MAW6LCVFWKlIAJEgAiokQCJITXCpKaIABEoMAESQwVGpnMnkBjSuSlR7pDUxFBMUoxQiPVPnzcYdylzLL5f90TPRT46Tpu6RwSIgNQIkBiS2oxRf4lAySJAYkj680liSMfnUGpiiOPssLYDzt7zx7iLQANWsibCxggDlp9EA+eWOk6bukcEiIDUCJAYktqMUX+JQMkiQGJI+vNJYkjH51CKYuhs9FmM2zsOT1KfoJ51PSzvsZzq/+j4fUbdIwJSJUBiSKozR/0mAiWDAIkh6c8jiSEdn0MpiiEdR0rdIwJEoAQRIDFUgiaThkIEJEiAxJAEJy1Ll0kM6fgckhjS8Qmi7hEBIqBVAiSGtIqfLk4ESj0BEkPSvwVIDOn4HJIY0vEJou4RASKgVQIkhrSKny5OBEo9ARJD0r8FSAzp+BySGNLxCaLuEQEioFUCJIa0ip8uTgRKPQESQ9K/BUgM6fgckhjS8Qmi7hEBIqBVAknpr/HytUKFZ632hi5OBIhAaSNQRg8wNzEq1mHTs6F6cZMYUi9PtbdGN7zakVKDRIAIEAEiQASIABGQLAF6NlTv1JEYUi9PtbdGN7zakVKDRIAIEAEiQASIABGQLAF6NlTv1JEYUi9PtbdGN7zakVKDRIAIEAEiQASIABGQLAF6NlTv1JEYUi9PtbdGN7zakVKDRIAIEAEiQASIABGQLAF6NlTv1JEYUi9PtbdGN7zakVKDRIAIEAEiQASIABGQLAF6NlTv1JEYUi9Ptbd2+PBheHl5Yfny5WjQoIHa26cGiQARIAJEgAgQASJABKRDIDg4GOPGjYOfnx86d+4snY7raE9JDOnoxMi6tWLFCuGGpyACRIAIEAEiQASIABEgAjIC/IvysWPHEpAiEiAxVESAmj49Ojoa+/btg6urK0xNTTV9OXn7sm8daEWq8MiJYdYlINEAACAASURBVOHZKZ5JHImjegiopxW6H4vOkRgWnSFvgTiWXo7JyckIDQ2Ft7c37O3t1QOiFLdCYqgUT35eQ6f9qEW/MYhh0RnyFogjcVQPAfW0Qvdj0TkSw6IzpN+N6mFIHNXHUcotkRiS8uxpsO/0x6rocIlh0RnSHyr1MCSOxFF9BIreEv1uLDpD+jetHobEUX0cpdwSiSEpz54G+05/rIoOlxgWnSH9oVIPQ+JIHNVHoOgt0e/GojOkf9PqYUgc1cdRyi2RGJLy7Gmw7/THquhwiWHRGdIfKvUwJI7EUX0Eit4S/W4sOkP6N60ehsRRfRyl3BKJISnPngb7HhUVhdWrV+OTTz6Bg4ODBq9UcpsmhuqZW+JIHNVDQD2t0P1YdI7EsOgMeQvEkTiqhwC1QmKI7gEiQASIABEgAkSACBABIkAESiUBEkOlctpp0ESACBABIkAEiAARIAJEgAiQGKJ7gAgQASJABIgAESACRIAIEIFSSYDEUKmcdho0ESACRIAIEAEiQASIABEgAiSG6B4gAkSACBABIkAEiAARIAJEoFQSIDFUKqedBk0EiAARIAJEgAgQASJABIgAiSG6B4gAESACRIAIEAEiQASIABEolQRIDJXKaadBEwEiQASIABEgAkSACBABIkBiiO4BIkAEiAARIAJEgAgQASJABEolARJDpXLaadBEgAgQASJABIgAESACRIAIkBiie4AIEAEiQASIABEgAkSACBCBUkmAxFCpnHYaNBEgAkSACBABIkAEiAARIAIkhugeIAJEgAgQASJABIgAESACRKBUEiAxVCqnnQZNBIgAESACRIAIEAEiQASIAIkhugeIABEgAkSACBABIkAEiAARKJUESAyVymmnQRMBIkAEiAARIAJEgAgQASJAYojuASJABIgAESACRIAIEAEiQARKJQESQ6Vy2mnQRIAIEAEiQASIABEgAkSACJAYonuACBABIkAEiAARIAJEgAgQgVJJgMRQqZx2GjQRIAJEgAgQASJABIgAESACJIZ0/B6Ijo7Gvn374OrqClNTUx3vLXWPCBABIkAEiAARIAJEQJMEkpOTERoaCm9vb9jb22vyUqWibRJDOj7NK1aswLhx43S8l9Q9IkAEiAARIAJEgAgQgeIksHz5cowdO7Y4L1kir0ViSMen9fDhw/Dy8gK/4Rs0aKDjvaXuEQEiQASIABEgAkSACGiSQHBwsPBFuZ+fHzp37qzJS5WKtkkM6fg0nz59Gq1bt0ZgYCA8PDx0vLfUPSJABIgAESACRIAIEAFNEqBnQ/XSJTGkXp5qb41ueLUjpQaJABEgAkSACBABIiBZAvRsqN6pIzGkXp5qb41ueLUjpQaJABEgAkSACBABIiBZAvRsqN6pIzGkXp5qb41ueLUjpQaJABEgAkSACBABIiBZAvRsqN6pIzGkXp5qb41ueLUjpQaJABEoQQSS0l/j1eu3JWhENBQiQASkRKCMnh4qmhgWa5fp2VC9uEkMqZen2lujG17tSKlBIkAEShCBiCfJSEx9XYJGREMhAkRASgQM9PVQx9asWLtMz4bqxU1iSL081d4a3fBqR0oNEgEiUIIIkBgqQZNJQyECEiRAYkiCk5alyySGdHwOSQzp+ARR94gAEdAqARJDWsVPFycCpZ4AiSHp3wIkhnR8DkkM6fgEUfeIABHQKgESQ1rFTxcnAqWeAIkh6d8CJIZ0fA5JDOn4BFH3iAAR0CqBgoihtKQnSBrRFvYRcbjl2Rwuiw5ote90cSJABKRPgMSQ9OeQxJCOzyGJIR2fIOoeESACWiVQEDEUuvRL9J6/Tt7fgGOHYVmjhVb7TxcnAkRA2gRIDEl7/njvSQzp+BySGNLxCaLuEQEioFUCBRFDkRO94L3jvLy/flv+ga1HP632ny5OBIiAtAmQGJL2/JEYksD8kRiSwCRRF4kAEdAagYKIoScD6sPzXLS8rwfXLIFdx2Fa6ztdmAgQAekTIDEk/TmklSEdn0MSQzo+QdQ9IkAEtEqgIGLoXZuqaBiRIu/v/uUL4OA9Vqv9p4sTASIgbQIkhqQ9f7QyJIH5IzEkgUmiLhIBIqA1AgURQ1VqW8A6+Z28r/t+/x6O/b/SWt/pwkSACEifAIkh6c8hrQzp+BySGNLxCaLuEQEioFUCqoqh1IRHaNmojlJffRdMhvOH32m1/3RxIkAEpE2AxJC0549WhiQwfySGJDBJ1EUiQAS0RkBVMfTw1DZ0GTxaWQzN+QzOI3/SWt/pwkSACEifAIkh6c8hrQzp+BySGNLxCaLuEQEioFUCqoqh0AUj0fvPnUp99Zn+MVw+/U14793bt3gRE4oKNq7QK1NGq2OiixMBIiAdAiSGpDNXufWUxJCOzyGJIR2fIOoeESACWiWQkxhKjLgOvc/6wjIuEXcH9oTLlFWIH9QQHc5EKouhrz6Ay6TlSEuMR/nO9VDnYTru2Boj8dhNlC1fSavjoosTASIgDQIkhqQxT3n1ksSQjs8hiSEdnyDqHhEgAlolkJMYipjWGz02Bsj7dfluNKxbOsH+2RtlMfR5H7hMW4Owf79Dr+//lH+295fpcBr0jVbHRRcnAkRAGgRIDEljnkgMSXieSAxJePKo60SACGicQE5iKHZIU3Q8ESq/9okjh9CuUxfh55f6gFGGJvId1RXOszYjckJneO+8ID/eZ9Y4uIyar/G+0wWIABGQPgESQ9KfQ1oZ0vE5JDGk4xNE3SMCRECrBHISQ6leLmh566m8X/sWz4H3l7OEn+9WMULNxy+F177DOsD5p11I6eKCVjczj/f5ejBcJi7T6rjo4kSACEiDAIkhacxTXr0kMaTjc0hiSMcniLpHBIiAVgnkJIbKNq+MGjGi4OHh80V/9FqyQ3h9upE1PK7GCa/3DXKHw//2wa5OJVRKyaw/5DO2B1y+26DVcdHFiQARkAYBEkPSmCcSQxKeJxJDEp486joRIAIaJ5BVDHEzhIYNq8NYIT3ooHdDdN13TejLwW710fXAdeH1/j7NYDb5d7Rp01apn75DPeH8826N950uQASIgPQJkBiS/hzSypCOzyGJIR2fIOoeESACWiWQVQxF7vwN3hPmKPXpfB1ztm3umfCez7ie6LXcV3h9oHt96A0cja4fT1A6fn+/FnD447BWx0UXJwJEQBoESAxJY57y6iWJIR2fQxJDOj5B1D0iQAS0SiCrGAr7YQh6/b1PqU+JxoBZuvjWwVWL0HXUZOH14U61kObeHj1/+Fvp+INd68FuZaBWx0UXJwJEQBoESAxJY55IDEl4nkgMSXjyqOtEgAhonEBWMfRopBu8Dt/O8bpPywLXDwWgbfv2wudH27kg1dERPTZk2nDz94+0d4XNhiCN950uQASIgPQJkBiS/hzSypCOzyGJIR2fIOoeESACWiWQVQylejnLt8Rl7dgNh3J4ses03Jo3ET7yd7NHmTfv0O7CA6VDA1pUheXOm1odF12cCBABaRAgMSSNecqrlySGdHwOSQzp+ARR94gAEdAqgaxiyKJBpWzFVWUdDGxsDaMNp9Gifg3hrZNNq8Au6glc414hoZweLFNFR7kz9Suh/IEQrY6LLk4EiIA0CJAYksY8kRiS8DyRGJLw5FHXiQAR0DgBRTGUnpSA5nVchWsqFleVdcKvc21YL/dHk2pVhLeCqpuh8f1ElGGvz9WxQIP7T2Hyir9fAYbHozTed7oAESAC0idAYkj6c0grQzo+hySGdHyCqHtEgAholYCiGHp8zgedBwwX+nPN2RQNw5OV+iYrslrHyRwGb4FUA6Dca/GQ/b2bosWRy7BOfoeb9mXx5sxjrY5LXRd/Hn4NLyf2R6ObcQivaoq0TQEws62uruapHSJQ6gmQGJL+LSAZMXT37l1s2LABfn5+CAkJQVpaGqpVq4aBAwdi4sSJMDU1lc/G+fPnhWMvXbqEK1euICUlBf/++y8++ugjlWcsICAAW7duxYkTJxAeHo6yZcuiZs2aGD9+PD744AMwcEpteXp6gp+TUxw4cABdu3ZV+dqKB5IYKhQ2OokIEIFSQkBRDIWtmYleM5cII/frVBteR5SNFHymDofL+MVwqWaO8pk1WYXjfSZ/iEb/bIVTwmuEWhsiOUgszKrpeP0qHWnPY6BvUgHlTCzUermIpZPQY/6/Sm3u+aw3XL9dq9brUGNEoDQTIDEk/dmXjBiaNm0alixZgp49e8LDwwNGRkY4fvy4IFgaNmyIs2fPoly5csKMzJ49Gz/88ANq164NMzMz4bOCiiE3NzdERESgb9++aNy4MZKTk7FlyxacO3cOo0aNwsqVK7OJoRs3buC3337Ldld07NgRtra2hbpbSAwVChudRASIQCkhoCiGwr/rh55rj4niZuL76PX7FiUK+/6cC8feX8KupoU8P0h2wL7fv0e1BQtQ+1E6Hlcog7ibCYUm+CIsGAZc3Ng459lG6IKP4LV8t7A6xbf17R3cBjV+3lvo6yqemPTgLuq3a4kKWUQfLzTrsOSoWq5BjRABIgCQGJL+XSAZMXTx4kVhJcjCQvmbs++++w7z5s3Dn3/+ic8//1yYkZiYGJQvX15YLdq8eTMGDx5cYDHk7+/PqpK3gYEB20eREW/fvgVfATp58iSuX7+OevXqyT/j7/MVJP6fOoPEkDppUltEgAiUNAKKYihmaFN0CggVhui3fhm8hn2qNNxje7bBumlnWNWzhG0i2yenEEd2boT112PRKCwJvC5RxH2xSGtB48EXndB190W8ZolIB2d+BqdRP+XYxNs3r2Ff1xqVUkTTBh4vjIDQu/Eoo5/5d6eg15cdH/VFR3TffUn48ZG5AWyfifsBj7V2gvXmq4Vtls4jAkQgCwESQ9K/JSQjhnJDfe3aNTRq1Ahjx47F8uXLsx1WWDGU2/UWL16MCRMmYNOmTcJ2OVnIxFBoaCiSkpIEMVamDE/LLVqQGCoaPzqbCBCBkk1AUQy99rRHk5AkYZXl6tV7ctc4GYEL126jrEUVmDWyErbDKcbZoKsoM8ST2XI/BZdJ1yMSoFeI3+EONcxhnia2HNi4Msx872abgNh751BpzEDBvCFrnDjqB4uaLYs0aclxEajr3kgoNPucCbtbp4LQvFVTIU/qQq2KKHskouDtp6Yg/qwPDG0cUbGuR8HPpzOIQAklQGJI+hMreTHE83G6d++OmTNnYu7cuRoXQ1OnTsXChQtx9OhRvPfee0piKDAwEIaGhkhNTRVyjPjnP/74I5o0EWtaFCZIDBWGGp1DBIhAaSAQcmQbwg75IM3QCJUHToRL20aCAcJ9GyOknH+Mes6W0M9YeOGiIDJjtads88qoEZO5fyyJr8jcS0Bi3zpoExQjoNvPts3Z951YIEHERYhb00Zy9NecTKB36qHSVCTFR8DuvSZwfJq5MhXsWA4NIlOF4/h2Pcf+X6k8fa+TExGz5CvoRdzHK3dPOA2fjbDfP0WvXzaJ4+jXAg5/HJavht2tYoT0C7Eqt88PTHvGdlt0b4I6USnCeXtnsxWvT3Je8SpQwwU4+O2rl0gMPolyLvVhbGFTgDPpUCKgWQIkhjTLtzhal7QYevPmjbCVjW+h49vWatWqlY2ZOleGHjx4IGyNq1SpEm7fvi0IH1lwc4aqVasK+Us8n4n3ia8i8T4ePnxY6Gd+ERUVBf6fYgQHB2PcuHHgQovnSlEQASJABEo7gXdsy/KJIW3QfvMZOYpgJ1M0iBDd4wKb2MDM5w4cq5ujIlsd4XGPiYC0DBGg71YFdR9kLN+wz/bNnwLHITMQN7gx3jsVLm9z/wdtoOfVH28ObcOb2g3hMvKnPMVR+Jb56Dl5vvz8aHN9PA1+ojRdob+MRu/ftwnvPS3L+tqvHd44VUPvn0WjA59pI+Dy+R8qTfG7d++Q7F0D7sHx8uOPbP0XFt9NRLO7z4X3jmxfD5tWPWHcwgY1H6fjkVkZxN8oWD5U5NRe8P7vhPwa55kNeTm/MOFn3gceWU2FVBqAige9TmdfMHaoJoixFPZn99zWzbBqXjhTIhUvSYcRAZUJkBhSGZXOHihpMcRzhP766y9h9WXGjBk5QlaXGOKOdHwrXFBQkLAq1L59+3wn9erVq2jZsqUg0vh2vvyCGz/MmTMnx8NIDOVHjz4nAkSgtBA4s2gi3KfkLhgO9GoK+6XHULmOJWySxBWYc3UtYXJIzCd619ZObrvNP71w+RpMrBwRuXk+vKbOh2HGos3DimVgkfxWbr+997fv4DRgcq6Y4wc2QIezmV9opbPtendClbfbPetdG22DRNvu4zv+g1XL7ojYugA9vv5ZeM9njDdcZm5UaSpjL/uhY69BuR77lBWSjbwVJ+QgvfZ0YFsIX4CvgoWFKOdDhfssRoU1y/DKpBz0v5rP8qq8lNos39QaLqwwrWL4THofcKoBtxnzYPjmHa40rAr9//0HC9fGKvVddhAXtg92/o63ITehx9qzHzQlm+CM2rcC3cdNlbe798O2cFrgW6DrKB78/NE9pIRfh3XjzjAoV77Q7dCJRIATIDEk/ftAsmJIZpzAnd3+/vvvXL+VUocY4jbe3MWOi6A1a9Zg+HCxjoUqwa2/t2/fjsjISDg4OOR5Cq0MqUKUjiECRKC0EzjX3BatLuVeB8iXOck5f70Cz/vWRZuL4ja1vSM6wenH7cLrpO7V5aspt6uWxatzmW0l3D6L9p1zXnXwHeoJ559354g/JT4SrZo0zPZZ4JmzMLOvLbz/Kj0F1epVFVarIiwN8PxyrPDg/+DoenT96AvhmH2D3OH4ywGVplhxlSmnE/YOdIPTrwezjTno/kMYGpsI73MjB9v61qicJK7wcAF3avc2VGZCgcejj1sxi/I72Zq/aVcWpqmvWO7VG6XPAlraocL6MzA0MVNpDOErp6Hn3Mx8X5nQib8ViCqjBsH+cXI2R7zjzATCqpAmEGFLJ6LbwjWC4I2y0EfsmRAYmZqr1Fc6iAjkRIDEkPTvC0mKIdkKChcl3DI7L6OCooohLoT69Okj1DdasWIFRo8eXaBZnzJlChYtWiTUPGratGmBzuUHU85QgZHRCUSACJRwAvdty6I62/IVV14Pwc1d8Z5/iNKID29YjirtP8Dr5OeI2fMXyphWhI33aJQxELc2Pzi0GnY/fA/9N28RPmUqHPpNVDr/VQcHNL3/IhvFQ13qouqq09nej1g2GT1+WpUj9X1/zIJjv0nCZ9F7/0K3T6cLr3kdJNt/zwqv468dRwfvvsLr3K6RtfEXUbfZ1mk3+dsXa1ZE84ytcfzNMCsDPDsXDQMjthePX2NQQ3Q4Eym8Pn3+IipkFF6NvbAfHft9qNS8bBvcgzGt0fXADflnPl99gF6/bs5xnIpv8ppNLhP+Et7iKz9PL/nh1ZNHqNCkA0yy2I0r9kvWxp7eDWF9PwoeN57meC1eUFfv5IN8+5HTAVnn9sCqX2Df5ZNCtUUnEQFOgMSQ9O8DyYkhvo2Mi6GhQ4di7dq1+Tq2FUUMpaenC0Lo0KFDWLZsmeBYV9Dg5+/Zswc834jnFBU0SAwVlBgdTwSIQEkmwFcy0ssaClvXgquVx6OGteC1S7SQ5pHKXKlv33oAg7KZhbgLyuNpv7pod0HZ+IC3cbJZFZjvVi7kGjmpK7y3i6JGFjccyqFelGiIwCOYGSmEDR0M25270OKWmK+z9+dJcBo6S3idHBMGt+aZRjuBZ88jecZQ2N9m4oWtHEXVc0GlX/fAuIKVcPzL5GdwaO4iX82JZaLw0fU4RPssxdtnbFuchTWqdh8rF0L8nEcj3eB1WOy7/wEfVKrfTngd8edE9FiwRqn/3Fo82P8sWrRxg1HGws8FlidkdOAe0MGJ2Y+LuVmy2PtBa9hduCZsw5O/x1bR3r19gyYHzsD+qejcx+3G980ZD9ePfhR+Dln1DfrM+VuprZx+uFytAl4aG6JVRu0nvv0v6vYTJNy/gHLWjjCxUL2OX8WGlZh5ReZqVkENK/LtLB1Q6giQGJL+lEtKDHG3uFmzZmHIkCGCENLXZ+v5+UR+YujVq1cICQmBiYkJHB0d5a0pCiGel8RNDHKLp0+fCjWNuHGCYvB6RB06dBCKtnJDhcIEiaHCUKNziAARKKkEHt25BNvazYXhBbZzRmLNmui2yk8+XP7gbOCvbERTUBbhk7uh55ZMcwbF8wPcHfFm/mpYu7ZA0qMQNHdrJs8x4sf5ju8Lyw+noH4HD7l5Q9brcxODh+fY9qzyYt28N8wprV71ykrtZD3H57PecPl2rfB2zDlfdBowTH6IKjk0kRO94L3jvHDO3rnj4fSxKEgiJ3eH9xZxtYsXm63yQkyY4jlBvX4Ti9betTVG2tlHwpa+pG7V4H5d2RTiEFuJs207CKbMpKFarHJuUU7s9w5pD4svFqBGJ3e5oDvS1gUVnySixU3ltv0614HtP+JcPOvD8q0ytkfGm+rBijkHpjHxe2z5Ijh0GZXvNL95/Qp1q1vLBZ4wX/Mmwpk58FEQgcISIDFUWHK6c55kxNDSpUsxfvx4QbBwUZRVCNnY2KBzZ3GPc0REBNavXy+85m5sW7duRb9+/eQW17169RJc33jwIqkuLi6CIQIvtCqLAQMGYMeOHejUqRNGjBiRbcb4+bI2du/eLYglnh9UvXp1QRTxbXHr1q0TLLaPHTuG5s3FP94FDRJDBSVGxxMBIlCSCVzd9icaDRLza/yHt8OrJh7oPCnTwU1mJV0UBi8ehyBh7scwfRyH57Wqw+bKzWwCIMjFBCnmFdDmsmjF7c9yZUxWH0M5c9H2OWz512i8bC0cs9Qz4p/5Du8A53m7lLoYM6IlOh3LXpNIdhDPb3l6JU7MMfL7B10/Ee23j7vZw2rb9XyHG7ZsEnr9JDrWHW3nisobg4TXcYMbMQc9se7Qwa710PWguC3ummsFNAwVV3p853wGZ+akxyP+fbbd7rS43Y7HLftyeBX4QOhXyF8T0OdnUbAVJO5WNsDTw9dgZGyKxz+NRJ19AaiY8gaPLY3xeCVzjmvgKTQXNaEzuu+8kGPTR9+rCZOf/0P5qtVzvfTT0Mto176D0uc+342Cy9hFBekuHUsElAiQGJL+DSEZMcStq/lqUG6hKGa4qOErMrkFzzPi7fHITQw5OzsLoiq34CtUfLue8Mfg1i1hxYo7zT1+/Bh8tYlvieNC6ttvv4Wrq2uh7xQSQ4VGRycSASKgYQI8HyQtMQFlzSwLVI+nKN068d1wtJsnftl1au5o2I/7Bdd/GAlbvyN4UakijH/dhvJ2NYtyiWznPo8Ixssv++G9oLgc2+Xbv04fOwqLas2yfc5r9JTp31JudR1eyQAPdh+HmXMDpWO5RXXYnPfhucFPWFG6Y2uE2C2H4dz7PThkbOsKaGUPy+3XEbF9EXpMEld2fEd1g/MssaZQXvEqLRlNa9gJhyiunr18zwHN7r0QCtUe3rQK3oOyr7AcWrcUVTsMEc59ONoDXQ7elF/Kl60yOWesMvE3HwUdwMtHYex+MIA++4872ZVlW9mMqzjDsltz1IhTLnb7gm2ouBl4GSZVXPIbAh4HbkfnD3JfAbpY2wJl9t6Qm0O8fpnGzJXKQJ/VoeKrb/qeTvJ6TrKL8Twol0nZC7bn2xk6gAhkECAxJP1bQTJiSPqoCzcCEkOF40ZnEQEioFkCSSwh/mEjV9Rk9Xpi2Paqx7blkdCuBTxX+GlMGKWzAqPRbDtZNWaewOP67r9Roc2HSExVfsDW1MjjTu/Gm9UL4e5/E+Uza7YqiYvcrv0i+g7KGJeFSSWHPPnwh/akmBBUqFqTpQvpI5QVUO2dUUCVt+3PtulVePJcLq4K8jBfvokVXOJfQ7H+kawA7YOK+ogPjkM5VpC2Zmwmz9d6wPlzmYYL4bPfR8/Vh+TDPBt0FabWTiohf8tyiPhKVKfT0fLj9/VpCsclx1Q6nx8UMn8E+izdIxyfnFHqz1RhZ97BXk1gt/Q4Ir4fBK91fqwukR5O/TgNb1OT0GvmkmzX8RnXEy4zRHFNQQQKQ4DEUGGo6dY5JIZ0az6y9YbEkI5PEHWPCJRSAoHzP0frb0XHMMW4uX8t6nZTvfxAQfCdXTIVbl8uFE657mKKuveeIepZerGJIVlfH53cCq8Px8i7foRt0bJZK+bjaCJkIiantn1mjYPLqMxtgnldP72TE5rfEYux8u1tTyuVh8dVcbXrFrPKfn32McL+/BLeC9dBnzltv2VCaM+gVqi+KFP8JMdGIHnKQJg9ikPMgEFwGrOgQEN+yRz+ov4YD4P4OLyuVQ9On/wMAwPlfNv8Gnz++B5eMXFj5dIEr1+l4+H+Fegw6XuYZIiia8ywomFEiryZM/UrgQ0Fbhm5Ttxkgxtw8PAd/h7bsrgzv0vm+HlafDSe3whEWVtXVKzZQjjm7eMoPD7EtiM6VoNt+8Ea+2KgUB2mkzRCgMSQRrAWa6MkhooVd8EvRmKo4MzoDCJABDRPgOfreK4/me1C55ZMQ6vxYgFRdcXjkKsI/n062izfL3+IDVq3EE2HTUHEk+RiF0N8e+DLrtXRnDnD8S1yRxbPg13vz9U13GztJEbdQp2OHrBMFWsBKcbeX6bDadA3Kl076stO6L4rZzOfC7XNUfZwuNBOSkw4kh7ehamNK0zzyMFR6aLFdFDI8knoM0/MicoafAugATOQY1OFBOZEd37pb+g6UrRT38dqMTlm1GIqSFcTbpxEs1495SuEvtNHwtCiCtrM+Jm9J86TomNgQdqmY6VFgMSQtOYrp96SGNLxOSQxpOMTRN0jAqWUwBkPB7ifEbc7+Y/vAc8/9wqvA+eNQ+vpy9RChdtoB/70KWotXC13HeMNcwGSHvcYppY2WhFDvA/vXr/Gs2v+LBfGBSZVq6llvHk1kvIoFE+D/OAxYRrMxF2CQhxctQh2Kjip8WNTnkQj+XNv1L0WJXeNk7XDi6Va7sisKaTxAWngH8FtBwAAIABJREFUAuFfdUXPbco251kvc9C7EQw++Qad+ok5UDxn6fhXH8Huo9kFKr4awVz4emS48OU2lENedVB19Rmh1lLsxf3Q/9+3MHmehOd2lWEyexUqOinnjWkACTVZDARIDBUDZA1fgsSQhgEXtXkSQ0UlSOcTASKgCQLXXcujPqs3k8QeJq8v+ka+fe3ENx+g3YL8E/pV6dPxIa3R4T/lIqevmBC6MNobHstF8aWNlSFV+q6pY961tUPD8Mw6P0e2r4dNq54Fvtzj07vQ+f2P5efJHtwL3JAOncBFR0zQQaTfvyr0ymb1CrS4/Uyph/uX/giTGk3g6eWt9P7hDtVRZV3eJTDiLx7Em2U/wP5GKGo/yKwjlReCXeP7oNlGX6XaRvz4c6xuk4lfWLZT44MOI/kAy2EqWw5WH34DU1vNC20dmkJJdoXEkCSnTanTJIZ0fA5JDOn4BFH3iEApJfCYJdxXSXyLEBsjPP/fD2g6fKpAwv+z7vBcui9PKqfmjYXJxq1IsTZHXeaeZulQQ+n4pNho3PZ2Q/OLD+TvX2xmC+s5i2Du5omKlTILWJc2MRS5eT5az1wA87R3uMLsr/WOhQmObQUNLhzQ3kEurEpivZ2I/+ahx9T/ydHwYrI3z4hCqXlztkIkllQSgr+8UMcczlHPEe5QEe82BigZQ0Tu+BVeX83NVguKb7vLaftifvMRU74MYjMK8MqOTXkShZruDWGRsR3yYi1zGB8Jz68p+lzLBEgMaXkC1HB5EkNqgKjJJkgMaZIutU0EiEBhCDwIPg27hq2FUy/Vt4TxTwtRv5doeSzkEq0NyLHZu0e24NGOtWi//ID88+ND2erP+lNKxwd84I72WzK3OwW2dUbrE9m/RecnlTYxxMf8mtlkp7CCrxWc6hcpQT/9RTxijv2Hcg61Yd3UqzC3gs6f88DvX7w+sgPvmGA08h6Cqm0GCn0OYTbmdfYeR63HCraACqPZy3KJnBRyifRaV0X9yExThmdlgfv25RH77Vx0z6j5JDudW5c3CRFrNMki3FIf1z2boN6JK4Kj3xvm6BAcEivYfsuPWTkVPeeuUDrv2N4dsG7UUXjvdXoq3rK5N6popfPcS1MHSQxJf7ZJDOn4HJIY0vEJou4RgVJI4C5zHqv5UExcOdmpJmxnLkT19n2En/37NYPnjuzbjS5vWIQmzPAgawSxxP2mt54qPzhWNoJznGgNdq2uFex9A2DpWjdH0qVRDJXCW05jQ06Jj4RL20ZKOWn8YjJ3PUGEsHpFdWtWgTEzYXhkVgY3Nu+ATQOxliHPa6tTzQpG7DMe3O771tX7iDn4DxAdzpKSnuNlWSNU+Xg2yjML8vhBrGjtGbFobeCZszCzry0f26NPPODll1nDiX/gO/9rOA+ZiYfMoc5t/FeokP4O96sYI6yBK9Jr1YXT1ysKtTKoMaClsGESQ9KfdBJDOj6HJIZ0fIKoe0SglBHg26teG+rLtwtd37Ec5tXrw75RG4HEiS610e7gLeH18XFdYeV3Ck9dbfHWrAI8d13ORivBhG0zSs7cr5TGrJcNK5gL1s5BdS3Q9EZCnoRJDJWyG1ADww37aTh6LfNRapk70N24FQ2DcuURf+04Onj3FT4/4lkNNusvKR1bxr0K6kWnCe8dbeOEypvErXg5xYNx7dB13zXhI79NK2HLVqr49rgnc0ei+84L2U7x+XIAXKaswhMmojwzRJTiQT7fjYLL2EUaoEJNqkqAxJCqpHT3OBJDujs3Qs9IDOn4BFH3iEApI5DyPB4m5tbCqC+zVZ0mbFXn6YMQWNhXF94LbOOI1icjcOZ/E+D+zeIc6Rxn7nM2PkdRNzJV2C6k9+qV/Nvteyd2o0Z78cEzwLs+2u8NzpMwiaFSdgNqYLiv0lPwaFo/lI+MQr0bD2GVLFpjH97yL6p49AXPF/KeOFd4b++IjnD6cYdSLx6c2Yl3K+fjTblysJi+AmZ2mas9WburWLT2IHObs2Nuc+Ez+qHnupwLz+4b5A7HXw6gQmMrOD/JXlz4ZLMqMN99WwNUqElVCZAYUpWU7h5HYkh350boGYkhHZ8g6h4RKGUEYu5dgU3NJsKoT3WohjbH7gvbiN6alBO2CoVZGyLWsRJaXXqcIxnuBqf/8hXOtXaG+znRICExNgpm1vbC6zO/T4H7JPGb7oBJ/dD+V+UHz6yNkhgqZTeghocb9ssY9Pp9q3CVPdOGw/XzxQhbNgm9fhJrGPlMHQ6X8TmLfFW6lnDvAhp364yKbJep4Ix49iLSvhqA906FC6dzd8bjo/ui59Jdws9HPKsjza0teswXr3+6oRXe/b0frd1aCj/zLxNOHtqHSnXEHD6K4idAYqj4mav7iiSG1E1Uze2RGFIzUGqOCBCBIhEICdyLam1EK+eAXo3Qfs8V4fVtRxPUjsrfbjjaQh/2Ca9xsnMttD1yVzj34fWzqFqvlfDaf4wXPFceFl5f+vcnNPvo2zz7S2KoSNNJJ2ch8PDYBnQZMV68v90c8PrreUj1XYMeGSs3e3+dAaeB2XPfCgIyYlpv9GBudTx8pgxF5QMH4Hb9ifBz0P2HrIbVSzSr7Zxjkz6f9YbLt2sRPucD9Fx1UH5MUM2KSPjhd9iwlSyK4iVAYqh4eWviaiSGNEFVjW2SGFIjTGpKiQDP/eD5GeUqWBAZIqAyges+q1C/92jheP9hbeG57oTw+gTb0tZuv3LRzis1zVAtPBEVFAy7zrayg9vZaPj3bw7PnWLuxT3/nfKtceeZhXbLIHFVKfrqKdhnuNbl1kESQypPHR2oAgHusNekXnUhZy2n8Pvvb9i2HaRCS7kfEstqIXXs/YFwQFANM5RNfYm6LOeI23Q/uCuaidjXtJBbbMtaimJfJDw4dhmmVo54fM4XnQcMU7qIPxNvlbblva20SB2nk3MkQGJI+jcGiSEdn0MSQzo+QRLt3osnj/CgsStqsz/Awa6mcL0YClOLyhIdDXVbnQRSExMQe/cy9I3Kwq6+ezbr5ov/zkPzkd8Jl/RnuT+eS3yF1zGs0OXtiUNglJCINxUrwGriDNTu8iGOf/IeOvxzXN7FUz+MRpvv/ob/Jx3h+Y+YJ3Ft+1I07P+ZsF3OtIqj8CAaYWUAx5j0fK2jSQypc/apLU7ApJk1qsWKboZZ42TAcZi7ittECxv8iyiTFlVQPVbZ1juksiFSLsUJzRq3sEHNx6Jjoywu3LiPsmairTZ3sUv1rgk3BYORqy7lUeZEdGG7RecVkgCJoUKC06HTSAzp0GTk1BUSQzo+QRLtXuDPn6H19GXy3p/4bhja/bBOoqOhbquLwKV1C1BjzDSYZTyDnXGzh/uZKKXmFe+dk98NR9sf1uZ5+VdpKQj8hn0LHhUFvRo10fbnjYJZQsBX/dH+t53CuSe+7IN2f+zCzf1rUdf7I+E9//7Mont7dovurBcjMaSu2ad2ZAQiJ3WF9/bMOley90NYPlzShUdqsbKO2P0Hun05S2kF6nwdC5TzE+tppXq5oKWC5fzx1k6w2qzsUsdF1fOIYNTw7oAqL94iwtIAiVfjVZ7IsD+/hOXhQ3hhVwVm3PhBweZb5UboQJAYkv5NQGJIx+eQxJCOT5BEuyfUgtkVJO/9qXbOaBOQc1FLiQ6Rul1AAvzBKrxKWbhk1PeRnZ78NBamGe5xgnDpUgft/ET3quBdK9Cgz5gCXkk8/NyyGWj12U/Ca26sfWIiq1PEBJPnDnHr3InpQ9Bu3oZ82yYxlC8iOqCABPiqyyP/TazAaQr7Lwnma/9GWsXy0J+yCFYNxfpC6ghuzGC7YxfKpaTjpbEBK+A6B3ZeI4WmIyd6wXvHefllDqxYAPvuY3O87Nt29mgUliTUOAoNfaZS154yI4fWHTvLxViYlSHij19HWXMblc5X9aCQPz5DxVMnkGZRESaTf4NlTdH4oSQFiSHpzyaJIR2fQxJDOj5BEuwe3waVXNVKbh/Lh3CBORS1uCpuz6AonQTCzx+GcyuvbIN/eOs8qtZuIX//lpMJ6jBL7BfM9apcUhoMDI0LBYyvGN1obIfGd3J+eLuydTEaD/wi37ZJDOWLiA6QIIG0ZzF49Pd0lIl9BL3m7eD4wbRcR/G8dy20CYoRPr8QfAfGFawQvmgUyl8OQqqJEcqM+w72LXsrnR+x8Qf0mPaL0nsycwZ14Yq5uB+d+n4ob+5oOxdU3pi91pi6rqetdkgMaYu8+q5LYkh9LDXSEokhjWAt1Y2eXzYTLT/7UYnBdRdT1A9NKtVcSvvgr2z+A40HT8yG4e7x7ajp2V/+/hPTMqiU8g537MqiVnT+7nF5cRW20H3ITBgUVin58UG1K6LRtVjoGzLFlU+QGMqPEH1e0gk8+tgNXkfE1Vr/Az54sel3pbpF3Jjh3snLMLFxlqMInzkAPdccUUIT0NIOljuUTVCKwi5s1TT0mrNc3kRQ9QowOBqB6MP/ID38Jowca8Khy5h88wKL0ofiOJfEUHFQ1uw1SAxplm+RWycxVGSE1IACgeSEGJSxqYJyWWr3hVY2gitLVqcovQROL5oAjyli/RTB/vopKxrE4uqWxWg0SFyhEbbMWYrbaM41tcm1llBBKPIaRWe6NYC7/32UYfvlLrAikvUPX1XZ0IPEUEFo07ElkUDEFG/02BwoDG3/3wvRctJUpZV//r6sPtKjc3sQH7gLNTfvRvNHyjSusi/FypwQa3+pI8K/H4ie/4o2+Txu2xojtH1zdM/oK3/vlqMpXmw/iXK2ruq4pFbaIDGkFexqvSiJIbXiVH9jJIbUz7S0tpiU8BgJNR3gmFHF/ImJHp6aGaE6cyyKK68Ha5aAS1F6CSgaGgjbJq+Jidjn/vwWrT4Xc3tCz+yHq4e38DqgRwO0972mNmDpL57h3bu3zC3LskBtkhgqEC46uAQSCFv4CXotEYsTn25kDY+MLc/3mTtd9QxXvGNtnZFaubJSHhI/npsuvDbQk7vn7Zs/GY5DRLfIogTPQXzznhOahLyQN/PAXB9vWKFZxwTxixZZHOpaD1VXimJOikFiSIqzptxnEkM6PockhnR8giTUvZPThwpOXrI4/nEHWJwOYjkbz/FSHzB8+Uby2xUkNB15dpU/SJwa0BLOJ67hkWtl1PdjW1wUTAw0MU7/Dz3guemM0HRAnyZov1vc239y9ki0nbVaeH1j77+o11NM8FasMaSJ/qjaJokhVUnRcSWVQPja79HzO3FVVzF8f/wSHecshknOLuHCob6jusLq7AW4ZxR95e8d3rYWVdyUc4wKwu5JcAAcRwyAaxYzltza4C59KUHSzVklMVSQu0M3jyUxpJvzIu8ViSEdnyCJdO9VeioeVTVj38iJ++PO/DIJ7l/9irMtq8KNWcXyODFjKNr9uF4iIyrZ3byy+XeWvzMp8/fAz5/DY9qfGh30pQaV0Ox6gnCN0wu/hMc34sPV8ZGsTtDqo8Lryxt/QZOhk4XX/p92g+df+zXaJ1UaJzGkCiU6piQTeBywGZ2HjlMaYmATG5TfeR2GbRxQ90Ga0meJzPPk8p9/wLBGI1So1hjhW+aj5+T58mP2Dm4Dp4V78eT6CZh9MRSVnqYg0sESRmuOwqSSQ74on/Wtg7YXxb8rr9hKkGEOmw58po+E6/pNqB+Viqcspyk6o9hsvo3r4AEkhnRwUgrYJRJDBQRW3IeTGCpu4iXzeic9XdE2wzr7Htu3XeOh+MfxxOyP0W7OGuE1L3LppOI3eSWTku6Myr9nA3juvS7vUMDEvvKaPJroZXrKCxibmglN8/ujgv9pVKnVTPj5cs0KaHInUXitaIcd8M37aL9gsya6U6A2SQwVCBcdXAIJ8JXkJyNaoU5QKB7alMeDwYPhOPJHoR5S9JjW6HYg0xQhlK3CPD8bBQNWVFkxEqNvobW7u/DWyaZVYL7nNh6Obo0uBzPP3d+nGRyWiF+M5BY8B7BaXVa3KCMF9cCqX1Bu1W/wPJtZDPZECztU3HZVqWhs0P2HMDQ2yb3hd+/wwHcZ3oRch1m3YTCvLfZVF4LEkC7MQtH6QGKoaPw0fjaJIY0jLjEXuLz+f0j03Q79OnXh8f1KxEXeRhkDQ8RePS3f2sQHGzj7E7SetUoYN/8jqqfP9sixSGf/M6Ktclq/H968eonkCsbyhwneIf9RneC5MjMRWZ2dTHkej7eVrVH+pdhqQM+GaMe2yD0xM5AnYd89voM5yvVD4PzP0frbv4TjTs0djTYz/1ZnVwrVFomhQmGjk0oJgeT4KDxcPhX6T+Lxrok7XIfOynE7NP9bUL26pbCl7oorq6kUEI20zs5ocTvT+j68kgFeXMm7qGts0EF07M2KLLM43KE6qqy7iIjJ3dFjy2nhvViWn/rwWozgFBn/fkN0OB0pvB94+jTMHOrmOiuRm+fDe4q4ehVToQyizt+HcfmC5RdqaspJDGmKbPG1S2Ko+FgX6kokhgqFrdSddNd/J1w79odBPh4IJ1jSe7ssSe9n3B3gnvGt3bMHoTCv6lLq+OnSgAN/+hStZ2Ta0fK++b/vBs/NYj6POoM/AN23N0GNR5lOghdX/4DmI7/DgaFu6LbxnHC54wObo8PWCzjx3TB5IdQzv02G+8T/qbM7hWqLxFChsNFJRCAbgYoNK8GRuUhy0ZMYFMsKzFqh6nPlPyr5iZbwtTNZ/tISoW3fMd3hPPM/JMdFIG7BOBg9ScC7jybArr1Ye+jBuHbouk80YTmycyMsG3gieuEomJ0+BfMXLxE6qC9qTBB/F8YMa45OzHFSFvuW/gDHXvnXISuOaSYxVByUNXsNEkOa5Vvk1kkMFRlhiWrgztGtSAy7DaOKlqjfZ4y8Dot/v6asVkvexezC2fYIhwdJ2Wq3BPRujPY+VwVOF1bOgb5xOVTvOhhm1vYlip1UBnOqU020OXpPqbvqdm6TNZ4YFw2zypk5AAHjuqHd0r3CN8cpz+Lw1qaysGLEXaBs49Nw4qv+8FzsI5x+8Z8f0fzjGVrHSmJI61NAHSghBN61tUPD8GRhNIf7tkLnXeKXIYrhO28inIfPznHEfIucqYcjasaIy8x7F02D0/u5F4sN/7YPem7wF47dv4w5Vh7Yhu4+mX/H0gyAa0G3Uc6ClYNoVpk542UsX7PjfUe8B+cfd+oEeRJDOjENReoEiaEi4dP8ySSGNM9YKlc48d1w9q18psHBDWcT2Jy4DCuHmrhcxwJNFLYz8KTVELtyeFtGD7axqXhhoo+4RXPR7KNvsw3Xf1xXeK44pPQ+rzNjGfYYJhWtpIKnxPQzjNV8csmSu3WqQzVYf78AsX67YFqrPjMxmCLf3liUgStaZd9wNkW9MOXCu6eZHa/HqQjhEqcbmCO9aSN0WBsg/Hxt+19o2P/TolxeLeeSGFILRmqECCCxZw20vpLd1c13mCd6rs8QLb2awGHp8Rxphf07A72+Xyp8Fmeqh7DA6yhXyS5XsmGLRqPXH9uEz31mjUObhStgmfpO6XjfBZNRqf1AeLi1Unp/X7/mcPxDuWistqaQxJC2yKvvupIRQ3fv3sWGDRvg5+eHkJAQpKWxJL1q1TBw4EBMnDgRpqamcirnz58Xjr106RKuXLmClJQU/Pvvv/joo48KRO7ly5eYP38+1q5di+joaFSpUgUffPABZs2aBROT7Il+/HozZszAmTNn8JZtP2nWrBnmzp2Ldu3aFei6igeTGCo0uhJzYlrSM9zw/QfNPvw625gu1rNE06sxeF7BCBbsj0hIFVY89UGqcBz/dl+ViLh0DE7NO2Y7NGjdAjQd9o0qTdAxaiJwfuVstBwzR2jtag0zNLonGhfEswcLcza/sm2Qd6saI+77yWg99kfh83csuViYcz29AvVEyR1ujFc2UXzx79loPlbsT9a4c2QLanUcVKDraeJgEkOaoEptlkYCoX9NRO+f1ygN3XegG2znbED9htVRNqNY99mLl2Fqk307dfS4tui2L1g432fu53D5eF6eGBW31Pl1rAmvo3eF47mQsk4Wf6f5juwC/efP0H2H8iqVLtUmIjEk/X8tkhFD06ZNw5IlS9CzZ094eHjAyMgIx48fx9atW9GwYUOcPft/9s4DLKpji+N/ehOliGJBmgIWrCgq1d6NmtgSSxJrbDEx0cRo7CVqTDRq1HSNT2NJTNRYoxRREBtiw4Ig2BtgF9A3cy8suxTZXbbchTPvy/fYe2fOnPnNRfZ/Z+acaFhZWQkzMn36dMyaNQs+Pj4oX768cE8dMfTWW29hy5YtGDiQ7ZNngiYuLg7ff/89QkJCsHfvXhjLfdmMjY0VrldiSc3GjBkDCwsLrF69GufPn8fOnTvRtm1btZ4WEkNqYSsVjfh5jsg+/mi+9SjM5XLUJVc0Q/nHWYL44eVmeWM4Z4j7ug+GeCAw7LLK4z/FvnjXv5SXHI8bCBvSBqE/SuPNm8oDkliDKzG7cXU2W81hL2bM3uqLFh8U/iVB/vxW2IgOBcRJ/mEdbu0F12OX4PhInP9DvZqysz1HcPHgP0i7dJqdI3sLjmzlsKgifz7p4IyhCGSBN+QLfwZP1nVUWHXMvZ9yIhwuDdV/0aOpKSIxpCmSZKesE+C/78nrZ8Pk0AEYZ2fjRceecO8hhvh/0tET/mfuCT9ve68d3GaKKzry5Wl7dzQ79wDZ7J3MyXNJMLexey3SlB2r0HnkJKHOBWcLeLEE4Lzs6lQPHXeK0TTDWtRAyyNXFf4G8uv7Qmui8tqjkpgyEkOSmIYSOWEwYujo0aPCSpC9vb3CgKdMmYI5c+Zg2bJlGD16tHDv1q1bKFeunLBatGHDBvRnYSZVFUO7d+9Gx44dMXbsWCxdmpfM7Ouvv8Ynn3yCtWvXYsCAATJfWrCQlPHx8Th79ixq1KghXE9PT0fdunWFVaSEhASV39pyGySGSvR8G3Tj5Nh9cG3WTmEM96yNYHntFo59PaHQnEAHvxiEwNm/qTzusHHdEfrdNoV2YW82QehmafyxUXlAEmtw0sdOSG7LC4/a9+hKgiBSDs0eAYtNf+FJdbYffuHPsG/gL3v7+vwRS4brUAG2edvklRpV5KxhCJj6A/i64I0KxjCKPQrnWo1wfvf/cPPPNbCq1xD+Y8WoTGGjOiP0+53Cz8d+nYcmgwvu7+dfkI60dIV/TF5oXL4N0+jp0wLheZVyUMOVSAxpGCiZIwKFELi2+yd0HCruTjhb3RJ3nR3gcDsNie2D4T5NDLFv0sIZdVKfCSvZN84/KJbj7aM70aZn/wL1ts/7CF0//6bA9QMs2E+rwyniv13NXeC4SVyF0nchMaTvGSh5/wYjhooa6qlTp9CgQQOMGDECK1cqRmDibdQVQ4MGDRIET1JSElxdXWXdP2VfABwdHYWVol27dgnXExMTBaHGt+Fx0SVf+CrVjBkzhK1zzZs3V3nGSAypjKzUNIjbtAwN+uRFywnr1QSVhn2IOh0H4t7VBLyqU1sW+pgP+kQ9R/hEssOmdqqf8+HhnE/8sQQZ4bvR+kcxj0RYTxaU4c9jpYanvgaS+ewJXpazgYXc6l781tVwrusPe+8GhUYAjPZzFpLhXrc3RdU0uYZsEFwkvbKrIBNNxY0rthETWtsOwdSjpkxYHV01DX7DpyO8RyOE/H1SMHGRRSSsFdKzUHP3Uy7CroaXILB44cE43OQOMxfngzbvkxjSJl2yTQTyCNg2rAi3ezl75eTA7N38G5z934Adi0bnwqLR8VxGj48XPHuUn+XD6xfR0r9pAcRhu7bDZVBPeN5mcb7lyj+TBqH7V2uEKwdZUtkK/yRIYnpIDEliGkrkhMGLIb4FrXPnzpg6dapwPid/UVcM8S12Dx8+xLVr1wrY5Nv0+Pa3+/fFbO25ffBtccOGDVOoz884dejQAUuWLMG4ceNUniwSQyojM4gGj+9cR9atG8jMeoHM7BcoV9UNtlXyRDcfRMzyyfAfM08YT/gnvRGycKPC2NJvXcXVw7tgxpJlOnk1hKOrT4nHnhi9Ex4tOot98ihzLN8MlZIROLd7HWp3zFtF5tYOfzMBRux/zT9aVKjxw0s+RYtxC3C+hjV8WIb23MLfuFZkW+Ii29RE0P687ZAxTDz5H71ZqK0spmCOLPoYLT9eLLsv1Gdi6xCL/NQy503rg9RLsK/mWeRg5bdSHm5eHS1y2pWMTslbkxgqOUOyQASUIZAV6oJGlxW3U/N2ucEMatS0QwW20+0UC8ZiFFnwu1OhfQRWhW/yE9mt+1ZGSDl3B9e2r0CbD7+UvUR6wVbUY/YfQFBIK6HuERY0yGrPFWXc1nodEkNaR6z1DgxaDGWzPa2BgYHgW+hOnz4Nb2/vAsDUFUO2traoU6cOYmIKhpbs06cPNm3ahMePHwtb4HK3zv3777/o1KmTgg982xzfKvfpp59iwYIFr53QlJQU8P/kC996N3LkSERFRQlnpagYNoGnDx/gbDN3NDkvbpnKLfwL68nvpsBv1CzZtYMz2RmOaT8Jn6PmjULAZ2KUHm2WpCN74ebfXugivHt9tmoghtymoj6BsMEhCF0ToWAg/KNeKLc3DE1Oiy9U8pe7V86iolttHPN1VKiTwLaneDNx9JglSo3/3zd4yQLJONRpjBpszi4080TDi+IXlQfs+ORp9pwFhYtfFuTPleX2dSnsLzwdMgi+7MsND2Fr8Tz7tUE3eOS51Fmf4pWZKTxnLUf1+oHqQ9FgSxJDGoRJpojAawik9fBB0LGCL10us5WgtMhLaOIjvtCLZrsUbHYqd3Y1ad1MdPss70VNeLNqcNhyRrCTvG4WGs/7FiYvX+HIsD5w+2glPDzsYJOzYLSziy9eeNWF+/gVSgcM0sYEkxjSBlXd2jRoMcTPCK1YsQKzZ88WorgVVtQVQyYmJggICEBEhOKXGN5H7ha6O3fuoGLFikKwhi+//BL//fcfWrdureBG7hY67is/1/S6krulrrA6JIZ0+4uhrd4iWXjsILmSBIXIAAAgAElEQVTw2PL9xDZwQtOTt2WXwsa9wc7xiDldeP6fpkO/1JZbMrvykeW0ldtG64OQSAev2MuaK0xAOLfuLmR1ly+H/auhRYz45pQLYflkuY/NAOtnojCJYqGtA3JCW/O6h5uzdofzzu7I2+RbHY+s+hJPEk7Dpe9wZFyMF5KnKlMusSiENeUSryrTRip1SAxJZSbIj9JO4Mb7zdF+7/lih3mABT2ouFFMplpc4WcSr3z1Liqwl9rPK5SH5aQlcPBWDKMtb6OKj73C9nB+7+8J/eEx/vviutLafRJDWkOrM8MGK4ZyAycMHTpUiNpWVEhZdcXQ61aGeDjvzZs3K7UydObMGdSrV49WhnT2SEu7o6hgdwREJglORvvY4qE72yIQkQBnlucuwwKwfZL3dj5sYBBCfz8o1D39z4+o122I1geXcjICLo1ChH4iOtdF8A4xog8V1QjwP/CnajugwYW8FUBhVYcdLs5fwsd0Q91ftsv+wMc2ZKL4hCiK5RPi8s9h/Vsg9H+HlHLmZXYW7thboPJDxQzyhTXeP6S17KyYUsYlVInEkIQmg1wp1QSSpvRCt9/2y8a4s1NddNopruLIl39ZVEuXJXu1wsKerZZXz3eOMs7dBsYRSm7L04JXJIa0AFXHJg1SDOWuoPAVGh6wQD7EdX5+6oohOjOk4yexjHQX51VByB3DI4qZPc+EsYkpe9vPzl/krBJk3E5BeafqAg1BjOw8K/x8JXoX3P07aJ1S6qkoVG8gbn+K6Fhb1r/WOy5lHdy6cAKVvRsrjOrYT7PRYNgUhVWgJCdzOJ2/iusnInBjDdsGyULzN/58Kco5OAttoxaMRcCkvBXlY7/NR5NBYihaZYq8uOX1L1c2xy1HS7Q8K+Yv4iWLhcF9kX4P1rYOypiUXB0SQ5KbEnKolBJIT46H2dCuqHz7EeJbN0EFdqY1OFQxR104WxUymb8GFTwaaoWCVRMWEKaQ4C0H/t2Kir6hWumzOKMkhoojJP37BieGeGQ2LoZ4WGueDPV1QojjV1cM8dxCPHFrUdHkgoKCwMNvC18wWBLYmjVrvjaaHA+EwMNvq1oogIKqxJSvH/7xm3DcuhuZlmawWPQt6nQerHzjQmpmvXiG2CWTkHX7JkwdndBgJEvOa+ekUDPVwRTVWbSdZEdTuN4V904JomO3uPUgla3MVG8QJPx8tH5F+MXfA3+v/zzjPqxsFcPKl8jZIhpfPxODqvXEqIcR7X2YX+e00U2pt3n54DZ4BnWXjfMIC4bRbNScAtHhLh7YglqhvYrkwVd3ePLbR+fiUJ6F3W709scqh+gP71QHIbvEeeQRCU282b7/eetkfRaWX8iQJojEkCHNFvlamgjwFXCL5lXgnbPFVhfb1e719kVotOLZ6lymh6IOwbZGHZ0jJjGkc+Qa79CgxBCPFjdt2jS88847ghDi53qKK8WJoczMTEHM8EAIufmBuM3cKHX58wwtXrwYEyZMwJo1a4RkrLnF398ffEvcuXPn4OLiIlzOyMgQgifwBKwXL15U+UsMt0FiqLgZVu/+wTkjEThllULj0x7lUDMuBZblXp8oTr7Rs6cPwbc5OR+KQ4PzaQr2ItiX0OB/87YQyEdqO+ldAQ1z6gtbnzZEi19WWd4XM1cPvHrJgoN8Lu6BvmZngmoPCoYzVW/kr2914/xRVKkthjqNbOuFoL3SCF2qjbFq02b8X6vh22uEOKfvhiL0lwPCz8K8XxBXZS5UZUkGrxXcNqdpv3ho79N/rYKxmTnq9RiORCbUarV6U+iGC+3kQ//CvYVi4BdN+6BNeySGtEmXbBOB1xNITzmLu/+shEllF9To+ZGw20Gb5cm9FNz6nUVZNTKCiZsPuoyeqtDdrt+WoVprxeid2vSH2yYxpG3C2rdvMGJo+fLlGDNmjCBYuCjKL4QqV66Mdu3EBJXJyclCjiBeeDS2jRs3olevXmjUqJFwrXv37qhfv77wM1/5cXd3R0hICMLCwhSI9+zZE1u3bhUCJvC8QnFxcULABr4qxIMlyK9K8ahzoaGh4H7wENrm5uZYtWqVII54lLn27cUIXaoWEkOqElOufv6Qxbmtwvr4I/QPUZjw8vxxBhJ2/Q5H70aoVq/gyl74l4MRMkvMe5C/5Eb+ktmWOwMUNrQtQn8Q91SHjemK0OU7inT8WF0HFlFMzPyt7XLr4klU9hJ/TyJbs/DN/13Udpel0n7sjzPRdNg0YWzh43si5Js/hZ+PrVsEy8lfwvjVKzyeMx1+A5Xf8qZJUEdXskAL+/fApl1nNBmm/cAcmvQ9vy0SQ9qkS7aJgLQJXN39I7oM/UTm5CG2o8J2xyUFp2/HbMPTbb/C6GEGslw94Tx4Cqwdxe3omigkhjRBUb82DEYM8YSmfDWoqCIvZrioadVKjEVfWOHnjLg9Xl4nhp4/f4558+YJq0A83xAXOv369RNWp2xsbAqYjo2NFaLaRUdHg4f99vPzExKucpGkbiExpC6517e7U84YTo9fCSGFEzzKs4Pu4tv6NEsjmN+4JWxv41sAznqWR92kx8Ib9LjfF6HRO2IG7twiv8WNXxPOBOUcmr9TzghOcofX5cMkp6Vehl01D8FM5LT3EDTz10Id5v0ez0mQqR0SilbvJJ6Gk6evcPFgqAcCDygXHlUXvhlSH4e+GouWn4lnfSJnDEHQlz8akvsG5SuJIYOaLnKWCGicQMr+NWj9/jhYsvzU/G/62TNXYWZdXugnI+UcGoS2QLkXed2eq2aJzEPXxd067O88e7MtrDQpU7LZSvvj1POwZWeieMRPXkgMKUNO2nUMRgxJG6P2vCMxpHm2/BzGKzMzmLxiQqOOPRqfuc9CGLuyEMZXhc6iF08QkmFeidkN9+YdZQ7w8xahW47KPnM79yuYy6KAZbF/JE0trGS5YbiQefn8KUzNLQVh9cDWFA5PXiGxkjk8brHMdDmFh0NuNjIvv9A5FyvcHzFI+Ie6ol8IvNr30zyEIizeTTqHiu7inuuDIe4IDEvUWd+G3hEPbR3ZtwXszl6G842HcM4Qo7jFfPeZLHmuoY9Riv6TGJLirJBPREC3BK4PC0CHXeK29D2/r0SVEPHv5oOe7Ezu0RsFnNm74Wd4jh0BjzuZuM1ejp5cuULWpijPM5Li4dUpBE4s8fVpVxtkhyXB2NSMxJBup1orvZEY0gpWzRklMaQ5lrmW0q5fka3KHGrhgpaHruLI91PZAffZQhUeWCHk682Imj0CAVNXyxzgUd8y3WrAOuEynjs5wIhtrWz5xUrhPj9vVC8nM/fBUE8EhosiIuVEOFwaBuPa6cOo5ismzT0UUAMt5XLHPGXBES74uQtR5niOmdNLp8BfThxpnkDRFu+nXIRDDS+hgiAQI5J02b1B9XV+9zrcCWN5hNr1RK3WbyF66UQ0/3BhgTGc+N9iNOr/kUGNzZCcJTFkSLNFvhIB7RC4smwcun8lbln/Z3QPuH/2K3hQo3q1nGGWk13gIoumWeuWuEQU4VdFQSSdrW6FbLZa9LoVoitfvYfuy/6SDWDvpl/h3LwHiSHtTKlOrZIY0ilu1TsjMaQ6s+JaJB3ZCzd/8QxXeJd6CNkej7hNy9Cgz1jhWtj7rRH6038Qko4qmWfn4MxhCMwRTkL7nAPzPE+MRUgbPN/zryyiV/gHnRGyouAZocdpd4S3TFYqBHAobqyq3lcQivlEm6q2SmP9iEn9YfvPLjjeeYQa98SgFjxp6s3jEbi04LNCcwAJEfrqNCuNOCQxJhJDkpgGcoII6JXAvbMHEdqhq+DDxapWeBqZjAeJxxHSTtzdEc3O3t7u2AHdv15fpJ97N/3GxM0bRd5PHRWCTtviZPe3zRqLV69e4iWLSGtX1Ql1Q3vDqVotnXCg74aaxUxiSLM8NW6NHniNI8WpLd+j/lujROHDgxqsicCFA5vh1bq3eO3NJgjZeASXq1mj5s287Wyv8yT9RhIqOLsKVe5cjoe9V32FfDLybY+zXDGNVcgVo3kCRVtMv3VVNo7cVTNd9i/lvq6fjoazbwuIu8QVy+FF42G8fgP8j91UuHG9gjGqsEiARSWFlvJ4DcU3EkOGMlPkJxHQLoFXQdVQn53xLazs6B8I8x5D0K7ve0U6sW1Qa7jNEYPdFFbSu3sj8MStIu+f/HE2Gg75QruDzLFO3w01i5nEkGZ5atxaWXzg+fmaiM/6w/j4cbwKCEDwjF9V5spXWTKfP4FdZVGgyJfwT3sjZNFm4dLBWWxFZ8pqhW1sEe28UfGjyUrnHbrsbA7PnDwLuf2c9LFDw4T0An3zVYSMpAtwcNHN2yNVwT28ex22TtWEZoebV0OLw6mqmii19cN6NETo3+JbQb7rQl4UhX3QCX4/7ZQd0s2wYEl12WHe6I96o9WCjaWWiRQGRmJICrNAPhAB/RNI/utbtP9oOszZv735yz+fvQv30d8i+dMu6LohqkhnY07GI+NcNLIe3IFji26wqiimSuHfSxwaOKF6WiHGc6yd2LgUjXqLO0y0Xcrid0NtMiUxpE26GrBdGh/49JvJSInZA/fgN2BjX6kApWNrF6CJ3MpJJItqFiQX1ezZozScCvKG7+nbeGJuhPNTRiLg8xUyO2HjuiNg+TZhn3BKRXNcHf8eAiaznD050WKigtxYsIRkoX5y7D64+rWB/IoIFwGZrUMRPFdMTJlqbyIkSs0t0X7OaH40bwWAi6fgPWLS1NxyYf8mpH06DhaPnuKpY3kYZb+E1YOHyOjbA4Gzio6KqIFHpkQmHj+4DRuHyoKN6GZV0TzmWonslZbGZ3b8irpd894onmPnhV48TEODt0YXGGLYW35ouS6CbZ94xXKMWZcWBJIdB4khyU4NOUYEdE4gMXIdjFcvgPuVu3C78Vh4QZVQ1RIZ/x6DpaP4oi+zdQ00Zmd0eYlzL4fKd5/AWS7ya67Tj8yBAzMnwO2dqbh3Pgqh7boUOp7btia42r8TXCbMlKWm0PbAS+N3Q20ze519EkP6pK9E33p54HNDTSrhn6pVbiYcQ7n6fsI/UDfLG8P6UjLKOynG+w8b1g6hP+5TMM3fxN9loaoTvSuhbvwt2MqFybxjY4Tyt9JgYVMePMJbWnlzIWqbfBHyvgyZCp6AMsvWBlbsuAdvVzGDbWFi4TF5O7DzOvxtPw+GYMLES+3kJ4IJHu3NefJc4YxITOPKqPD1MtRkW+pMWRc8jGfyvi3wDumlKgpJ1ufBHKwqOAq+RTetguZH2IFSKoj4YoBMHCc6mcHj9gskxuyCR3PFZKUvWB7o9LgjcKorJq6lon0CJIa0z5h6IAIGSYB9lzHKEqPHygdGeHIrCfcWjYERS59iOewLPE+9iI7DPy1yiPt6NMPTBk3QbYaYCD1/2T5lCLrO0m36BL18NzTIh0A5p0kMKcdJb7X08cCHDQhEky2HcdPBHNf7ssP+i7dobPyR099H0IxfZPaOrJiCZh/khZXmooQHEVC1nNq8HPXfHIXw6e8hpJBtdVHBbDUo/ArChrRB6M/7C/2yn5t7SL7vB1ZGsLp9HxYsZ8Gzx+mwsrUXbsftXoM7kbvg3OYN1GvVV1V3JVv/xdNHMLe2FfyLaeIM/0JCkkrW+WIce/kyG1ELxyEz8SLMvWqjxbiFMDFjr/6UKPJBMXKftQfXE2FfzVOhdfiHPRDybV60ISVMU5USEiAxVEKA1JwIEAFcHdMKXf4+oRaJXSvnouOIz9Vqq24jfXw3VNdXQ2hHYkjis6SPBz6qjRcC9l+UkYlZOgn+Y+cLn29dPIkL//sO5bx90bDPOFnSMWUxhg0OEQIW5BZBnMitAvHtZV5t+ihlLrESf0OfKdSNmNgXwV9tQGyDimh66p5w7fiaBaj37kSY54TV5CtRublf+Nmdy3s3wjsnaAKvH9avBUL/iFboWwiXPPYrpfwpDZV4KFKeK4mXI40qodnxog+LGtJ4hXNoPHLgrnMytw/OYaHTP1uBgz0aofaB0zB++QqX6lZB/f9OwzJH9OZWjuhYB8G7xbZCNMKmbYU95Aks14RP6jPh+hlXK3gl3INZDj9D4mPIvpIYMuTZI9+JgDQI8JdlN2O3IftWKswqVkOl5t2R3rs+go+8fqs4/3px7GQcmjaor9OB6OO7oU4HqOPOSAzpGLiq3enjgd87KBAue2Lgc0sMHXzM1xFNTt1FVuZz3HC2gct98fxMDMvN4z9yplJDepJxDyfb+aLlEcXkZ6fdbVAv8ZHMxtEfZsJv+DTh8wsmWHKFDP/MhYl9vabgyU2tHZ2R/ewpaob0EOoer+OARvF38NDaBOVZADjhnM/9LJyvYQ2flKcFfOQR40I35yVQ5RUeXLuMbO9asiSq4Z+wQAsLy9bhd/mVudiGTmh64rZS8yvlSly0HGa5n1pGJim4Gd6pDqp+OlPIESRfwoe0RciPe2WX5FfL+EUhyIRjFeH+fbbd4syG79gWDGPU6zMa9s5uUkZRKn0jMVQqp5UGRQT0TyA7G561HGEtvnMVyi22Xf+ZuTFcc74HnfC0hWVkKmpXKa9Tf/Xx3VCnA9RxZySGdAxc1e70+cAnVzSDKzsnc8vWGJUzsoVVocpejWRDiOhcF8FK5uGJnDUcQV/+UOjwj/3vazTp/7FwL3LqYATNFhOnHWRJT03++QeeZ2/iQkMXtGCrVfLbmviX3As1bOB9TXwzL194gtQWh1MQw869+MsFOxDstvJEg40RsK1YtUC71PhDSNq+FhVqN4Jvj+GqTpfB1+dMjUzYwRdWYuuzVba4OwY/pphln8tWNvMPJpMJ7tyEfLn3zrpao45ceNYjq6eh2Yg80S8wygnGYfBwSsEASAyVgkmkIRABiRJIntgVXdcflHm3p603zD5ZhKfLpsD4xQuYjZ2Jqk3akxiS6Pwp6xaJIWVJ6amePsVQDMvQnJs3JS31MtJvXIEr2x6UW07VtEX9nIgsxeEJ6+uPUJa7J7dcZNFdal3PEzGJLDP0jVGDYLRjh2z1KO6PpbJEqEXZP8oCI/gNE1eS5MuJ9d+gUb/xCO/ZGCFb8/YB8xxATh71inO3TN9/yb7o80ASR9mKoB9bETTkwiO6nfaxh+8FMcz5Yf9qcD93Q7ZdUn5sN9g2yioZLIEeu/g87a4QSOIeO1jr6OIlq7Z/cDBa/xpuyEhKne8khkrdlNKAiIBkCGQ+yUDqL1+y0LSX8cq5Oqq+Ox2WdmLE1dxiamJEYkgyM6aeIySG1OOms1b6FEMH+rdEqw2HhbHyQ+MWdhXh3TYvWMBDdvbc5kkmjE1YSLUiypEfpsNu+nx4Xc9LXpp2LZFFdXsMJ0/fIts9Z4sT984dQ9VajV/Lmm/rulbJim3dE7f08RI5sR+CvhKzTF859C9evtkLjukvENcnGCG/huls7gy1oyz2D7spUwTH69ij8Zn7hjoMwe+DbwcicL2YU4KHSbV69BwxobXQ8tBVhXEdZCuS2cePImTHGdlzw8O/N5r0rULkwvtXpZsjyqAnqgTOkxgqATxqSgSIQIkJkBgqMUK9GyAxpPcpeL0D+hRDUXM/QMAXK0WBMXkA7PwC4dtrpILD8X+uhG/PEcjOfIFz236BpUMleLL8QTxcNS/xbD+tr9yZoBR2lidXuKScCEfam13ge6Vgxuh9/Zqh7foYpWbnOMtL5DNkkrCv9whbzWoak6pyYAelOiojlV6YGglJ607UtkOjsw8kO+obl07CqrwD7CrVKOBj+p1U3PTzhvdVMTw6L7mhwp+whLzX6rigFkuUm86SoyZvWIX6bEtk2KjOCP1+p1D3AAv0EfJbuEJi1Si2bTP390GyUMqgYySGyuCk05CJgIQIkBiS0GSo6QqJITXB6aqZPsUQTyxZu+MAYajhbzREuZ590eRdxfCRB0M8EBh2GTEsQad/rBgcIXLKIATlJBa9XMUCnjfFpEDH6jrAYv4i1JNLXsmv89w2F5u4of6lh0K92IaVUP/gRSFvkLLlGbPxlGWMtnf1VrYJ1SuCwDMzI1iyhbaT3hXQ8HyaJDkd6F4frbbFg+f1Of7tZ2g+Zp7Mz8So7age0k0hC/m/wVUQtOkIbCvl5bTigRAsy9nBzFJMjHpo4YdoOXFpgfFGNq+CqgtXwTOwmyRZlHWnSAyV9SeAxk8E9EuAxJB++WuidxJDmqCoRRv6FENP0u+yvbFOwtvx40zIZI4cXuAgemIlc3jceo7H5kawyYm4klzRFK53xA9X2H139vNVR1PUuCsXkiUfM76ylHrqIPtiaoOqdf21SJRMF0fgCZtLvsoW51UeDRLEszZSKjz8d7a1FSzEoIZCOcjySLl9txZP79+Ga9s3FYQQDxXfYveZ127n5DYuR7JgHWxVU77w80OP71wrNNiGlJiUZV9IDJXl2aexEwH9EyAxpP85KKkHJIZKSlDL7fUphvjQciPK8cPliZOGF9gmxPP1ZGekw6R8BeGcSW7JuJ2C8k7VcZVFpKvBItJdcTKD+21xhYiKtAk8sjBCOTZVqgTI0OWIhDw//u0LdHmIRRA0YgETWsSIeSHSLY1wft4E+I9fqJR7PEpcSiUL4XnNLWfcrFG3kG2cShmkSjohQGJIJ5ipEyJABIogQGLI8B8NEkMSn0N9i6GYJs7wz0m8GfZBJ9mZCvkEpud3/w8+Hd5WIHn54DZ4BnTFNXtTVEvLxmVnc3iyMxpUpE8gg4kInqsp3rMcfHO2Lmra6+dPHiI76wWsyzuqbDpm+WT4y22LK8pA2vUrsKvippL9+L9W49GiOXhpaoLMGtXg+ek8uNQPVMkGVdYtARJDuuVNvREBIqBIgMSQ4T8RJIYkPof6FkNh/Zoj9A8xkMHh5tXQIlp86x7jx0RSTv4e4YxQTm6gXJzH13yFxgMn4mYFEyGM8QUWStvrWsHkpxLHXybdS7cyQgUW9Tx/QlxNwTj0zQQ0mrgYJq+AqBGd0Wr5DqVNv8zKRNTbQez8j/hMxv4wAw/+2472G2IVbEQtGIuATwue/1G6I6poMARIDBnMVJGjRKBUEiAxZPjTSmJI4nOobzF0cPZwBE4Vk6VeszMRVnl4CRveHqGr9wg/C8lX/xVDEueWgzOGIpAlWb1bzhgVH7/CORcr1JaL7CVx7GXavQfWxrB/+gpn3GzYFrFHGmVx/XwsLJv4w+EJU0KspLLogtXlwqLLd/aKZf8+8fMcPNq2BZYpN/G8sgO8Dl8UEgDnlpS4SDjW9EXs8K5w2RcL0+yXSGrVGEEbDlFEQY3OnHSNkRiS7tyQZ0SgLBAgMWT4s0xiSOJzqG8xdG7X76jdaWABSnEbv5MlRBVWEPKdqxDCFLM3/mlWxrB7xhJf8jpyIbYljr1Mu3fPxhiOTKycrWGNOskFw56rC+f2qWhkhgTKBDW3w3NV2T4XhVH+EtnOG0H7LhTZ3e1yRqiY9qLYwAjq+kvtDIMAiSHDmCfykgiUVgIkhgx/ZkkMSXwO9S2GHj+4DRsHxWzLHNntS3F41agRKj98iUwWRMFMLngCvx/W1x+hG6LxkB3Gt5XwYXyJT79e3LvDVvOcNLya9/zpI6RXsUel9LzgBLmDy3zyCGZWNgXGep+JstwVpPw3T9ewwouF89G4zzi9MKJOpUOAxJB05oI8IQJlkQCJIcOfdRJDEp9DfYshjue0R7kCKz/PH6XjTDM3NC4iKWcEe6sfvOc8nrKcNVYSz1kj8UdA5+7dtjVBpUcvkVDdEt4pmjnndcqrAupfzBDGcraaOZ442MIv/p7w+c7leKRfT8Sj1ER4dx4kJFJ9dP8myjlWkY39LBM/da7m+fI0/Z5QjwoRIDFEzwARIAL6JEBiSJ/0NdM3iSHNcNSaFSmIoYMzhiBw+s+yMT5iW5vKsa1NPBFryD9xhY49umkVND9yHZkmRsKq0fE69mh85r7WOJFhzRG4wYJeVNFg0Ivko//BtWlbmYNx235E2g9L2bNzSrgWNiAQob8fFH4+x0SPDzunxBOn5ub8iejqC9Sug+CFfwh1TvjYodG5B5obMFkyaAIkhgx6+sh5ImDwBEgMGfwUgsSQxOdQCmIoKWYP3Jp3kJG6zgIpVH2QhYgvBiB47rpCCZ70roAGZ+/DyMREuH/U1xF+p+5KnDa5xwlcZ+HQq7JAGRerWKDWdRZWTo1y4q/vcf+nZXjlXBlmlasiJOc5iQ50Q/PIKwh7NxShv4ULloXnKScwB/+cZcSiFc4dhYDPVwj3w0Z3QfCSrTi9aQWe3bmBOm+PU1g1UsM9alKKCJAYKkWTSUMhAgZIgMSQAU5aPpdJDEl8DqUghngyynhvO9TPyTlzvK4DGp++h1Nbvkf9t0YVSjCxkjlcUx/CxNxCuB/b0AlNT9yWOG1yjxNIdTBF9QcsN1Rllhvqpuq5obJePMN9R2u21U4MjPDUFMJWSV5OrPsajd7+GBGTmZCeV7iQzj8Lx36dhyaDP6PJIQKFEiAxRA8GESAC+iRAYkif9DXTN4khzXDUmhUpiCE+uFsJx5EweTj411u3z+YL257SbyajQhFJLfkXYNxj5zoqiEk1hbxEsTe0xokMa45AiqMZXFi46yuVzOB+i0W/ULGknopC9QaFJypNjt0HV782uHYmGtXqtSjWcjZbJXrIzhLZVXUvti5VKJsESAyVzXmnURMBqRAgMSSVmVDfDxJD6rPTSUupiKGiBpt7vqSw+8L2Ov/2wq3D/jxha6pOmFEnJSOQXNEMrveykORkBrfbeWIoLfUyeNJTBzef13YghF3vW3iUt2cPH8CynJ3Q/lSt8rLVRv75ANs659StH57Omgqna2nINjFGav/OCFn8Z8kGRK1LNQESQ6V6emlwREDyBEgMSX6KinXQYMTQhQsX8Pvvv2PPnj24fPkynj17Bk9PT/Tu3Rvjx4+HjY1iaN5bt27h888/x44dO5Ceng4vLy+MHTsWw4YNKxYKrxAaGorwcPFMQ2Glbdu22Lt3r6iHRTYAACAASURBVOzW6+rv3LkTHTt2VKrf/JWkLoaOsbNATU7nBUa4a8Nyv7CwzLzE/jADTYdNE34+1NIFLaOuqsWAGumWQBLb4uh2JxPJjqZwvZuJZ4/ScL6pOxqeTxMcOc8S6GYt/w71ug0p1LGDc0YicMqqAveEqISXH8quH/95Lmp98AVsMtmz0rQamh2+SolSdTvVpaI3EkOlYhppEETAYAmQGDLYqZM5bjBi6LPPPsN3332Hbt26oWXLljA3N8eBAwewceNG1K9fH9HR0bCyshIGlpaWhqZNm+LatWuCUHJ3d8fff/8tCKPp06dj2jTxC/rrChc6XFDlL3/88Qe2b9+OJUuWYNy4vLffXAydOXMG33zzTYE2bdq0QZUqeWGCi+tb/r7UxVDYoGCEro2UuXyqpq3sbX/E5HdkARaigt0QEH5FlaFTXT0RuMLOCrnfzkQKOzvkci8TMcsnw3/MvALehH/SGyELNxa8zqK/hew4LVzngRJMKjmzIApVUG/wpwUCH2Q/f4aXmS9gVq68nkZL3Ro6ARJDhj6D5D8RMGwCJIYMe/649wYjho4ePSqsBNnb2ytQnzJlCubMmYNly5Zh9OjRwj2+IjR//nxs2bIFvXr1ktXv3r07du3ahYSEBEEgqVN8fHyQlJSE69evw8EhL88JF0P8Ov9Pk0XqYijt+hVc7NQMTVmkuIRqlrgz7G1ZGO6wdwIQui5KwHGwlScC91/SJBqypSUCl50t4MnOCqXamyDr3+1wa9Gp0J7i2Da3BhfScTfpHG6ciBDqWLEEvTVDewo/Z7DYGVZpj2Fmaa0lT8ksEQBIDNFTQASIgD4JkBjSJ33N9G0wYqio4Z46dQoNGjTAiBEjsHLlSqFajRo1YGpqisTERIVmYWFhaNWqFebNmwe+0qRqiYyMRHBwMPr164f169crNM8VQ7zPR48eoVy5cjA2Nla1iwL1pS6Gch3mEcRMTM1xZvvPqPeGuBXxYKgHAsPEOYhs64WgvQkl5kEGtE/gUhVL1CwkihxLF4VrcZFwaRAkOMHF0ot/t6FycGdhq1v+kptrSvseUw9lmQCJobI8+zR2IqB/AiSG9D8HJfXA4MUQP4/TuXNnTJ06FTNnzsTNmzeFLWlvv/021q1TDN37/PlzYStdjx498Oefqh/Kfvfdd/Hbb79h37594Fvf5AsXQ1FRUTAzM8PTp09haWmJ1q1bY/bs2WjUqJHa82QoYih3gPKRxE7U5skxxXMmEZ1Y0sx/z6jNgRrqjsBFtsJX63rBkNr732+F1j/thxBa/ewDZDGtf6iNN4KLELlRi8YjYELBbaO6Gwn1VBYIkBgqC7NMYyQC0iVAYki6c6OsZwYthrKzsxEYGAi+he706dPw9vbGsWPH4Ofnh4kTJ+Krr74qwKFSpUpwc3PDkSNHlGUk1MvIyBBEVuXKlYUADgycQnsulKpWrSqcX+LnmbhPS5cuBfeRnz/ifhZXUlJSwP+TL/Hx8Rg5cqQgtPhZKamX548zYFGuguCmEI2MHcTnJZyfI9l2Suruk3+MQEJ1K3hfU0y2mnj4X3g0F7fLCat8/11UYHXP2gjxbwXB5NoNZFtawKprDzQbPoMCItATpXUCJIa0jpg6IAJE4DUESAwZ/uNh0GKInxFasWKFsPryxRdfiF/Ucray5a4U5Z8ivoWufPnygnhSpaxatUoQJbNmzQI/p6RMiYuLQ7NmzQSRxrfzFVd4cIcZM2YUWs1QxBB3/p6NMRyfvMJzE8AiWxxOeI9GCPnreHEI6L4ECJyvYQ2flKcyT/Jvd4uaNwoBk79X8DSsjz9C/4iWgPfkQlkjQGKorM04jZcISIsAiSFpzYc63hisGMoNnDB06FCsXr1atlJT3MqQk5OTEDxB1ZUhLmqOHz+O5ORkVKtWTWnWPPT35s2bcfXqVbi4uLy2XWlYGeIDLGybVdhbfgjdFKs0N6qoPwLnXK1R+2qeGArry4TOhjyh8yT9Lu7UrMLCbmcJTr5govfmkf2o0biV/pymnsssARJDZXbqaeBEQBIESAxJYhpK5IRBiqHcFZRBgwbhl19+UQhU8LozQzw3kbW1tcpnhvhWNb79rUuXLkJYbVXKp59+ikWLFgnb9xo3bqxKU6GuoZ0Z4j7nzz3Er4X1a47Q9YdVHj810D2Bs242qJP8RNZx5NTBCJr5q4Ijd5PP48zXk4AHD2DfvQ/q9x6je0epRyLACJAYoseACBABfRIgMaRP+prp2+DEEN9GxsXQgAEDhGAGhUVs4yswPJBBUdHk5s6dK4TfVrZ8+OGHwvmfv/76SxBSqhRen+c44jmP+JkiVYshiiEhjHZOFLnc8YYNCFTIR6QqB6qvOwJCctQrj2Udxm38Dg1I7OhuAqgnlQiQGFIJF1UmAkRAwwRIDGkYqB7MGZQY4tHieMLUd955RxBCJiZsf04hZdKkSViwYEGheYZ49DmeZ8jDw0NomZmZKQRE4CtG/DxR/sIj0PFtcTxUd2pqqvD/+csD9nbcxsZGCJwgX/j5JR7Ku2HDhkJABXWKIYqhsP4tFLZV8XGHvdcKoT/vVwcBtdExgXhPW/gmPhJ65eG0H95IQgVnVx17Qd0RAeUIkBhSjhPVIgJEQDsESAxph6surRqMGFq+fDnGjBkjCBYuivILIR7lrV27dgI7Lk54RDm+ZW78+PHCGSG+OsO3uOUPrMCTpPL7ISEh4HmI8pc//vhDyCtUVHQ6Xn/r1q1CcAV+PqhmzZqCKOLb4tasWSOE2N6/f7/gjzrFEMVQ+MdvIuQbxdDl4R+xa4s3q4OA2uiYQGwDJyGJLi/nalihttyWOR27Qt0RgWIJkBgqFhFVIAJEQIsESAxpEa6OTBuMGMrN8VMUl/xi5saNG5g8eTJ27NghhMXmIoWLKS5a5EtxYqh9+/ZCaGy+muTl5VVo9+fOnRNWrHiABS7A+GoT3xLXtm1bYTte7iqUOnNqiGLo8OKP0SJffplD88eg5aTv1EFAbXRM4OTmZTD+7HMYZ79E5lyWJ6v/Rzr2gLojAsoTIDGkPCuqSQSIgOYJkBjSPFNdWzQYMaRrMFLpzxDF0OltP6Fe96EKCI+v+QqNB06UClbygwgQgVJCgMRQKZlIGgYRMFACJIYMdOLk3CYxJPE5NEQxlH4zGRWquCmQTdj3B7zb9JE4bXKPCBABQyNAYsjQZoz8JQKliwCJIcOfTxJDEp9DQxRDHOnt8iao9JAfvxfLrQsnULlWQ4nTJveIABEwNAIkhgxtxshfIlC6CJAYMvz5JDEk8Tk0VDEU9mEPtFj+NyyygYMhHizU9mWJkyb3iAARMEQCJIYMcdbIZyJQegiQGDL8uSQxJPE5NFQxxLFmPnuCl9lZsLApL3HK5B4RIAKGSoDEkKHOHPlNBEoHARJDhj+PJIYkPoeGLIYkjpbcIwJEoBQQIDFUCiaRhkAEDJgAiSEDnrwc10kMSXwOSQxJfILIPSJABPRKgMSQXvFT50SgzBMgMWT4jwCJIYnPIYkhiU8QuUcEiIBeCZAY0it+6pwIlHkCJIYM/xEgMSTxOSQxJPEJIveIABHQK4EHj1/geVZe5Eq9OkOdEwEiUOYIGBsBlcpb6nTc9N1Qs7hJDGmWp8at0QOvcaRkkAgQASJABIgAESACBkuAvhtqdupIDGmWp8at0QOvcaRkkAgQASJABIgAESACBkuAvhtqdupIDGmWp8at0QOvcaRkkAgQASJABIgAESACBkuAvhtqdupIDGmWp8at0QOvcaRkkAgQASJABIgAESACBkuAvhtqdupIDGmWp8at0QOvcaRkkAgQASJABIgAESACBkuAvhtqdupIDGmWp8at7d27F+3bt8fKlSvh6+urcftkkAgQASJABIgAESACRMBwCMTHx2PkyJHYs2cP2rVrZziOS9RTEkMSnZhct1atWiU88FSIABEgAkSACBABIkAEiEAuAf6ifMSIEQSkhARIDJUQoLabp6amYseOHfDw8ICNjY22u5PZz33rQCtS6iMnhuqzk29JHImjZghoxgo9jyXnSAxLzpBbII5ll+Pjx4+RmJiILl26oHr16poBUYatkBgqw5P/uqHTftSSPxjEsOQMuQXiSBw1Q0AzVuh5LDlHYlhyhvRvo2YYEkfNcTRkSySGDHn2tOg7/bEqOVxiWHKG9IdKMwyJI3HUHIGSW6J/G0vOkH6nNcOQOGqOoyFbIjFkyLOnRd/pj1XJ4RLDkjOkP1SaYUgciaPmCJTcEv3bWHKG9DutGYbEUXMcDdkSiSFDnj0t+k5/rEoOlxiWnCH9odIMQ+JIHDVHoOSW6N/GkjOk32nNMCSOmuNoyJZIDBny7GnR95SUFPz0008YMmQIXFxctNhT6TVNDDUzt8SROGqGgGas0PNYco7EsOQMuQXiSBw1Q4CskBiiZ4AIEAEiQASIABEgAkSACBCBMkmAxFCZnHYaNBEgAkSACBABIkAEiAARIAIkhugZIAJEgAgQASJABIgAESACRKBMEiAxVCannQZNBIgAESACRIAIEAEiQASIAIkhegaIABEgAkSACBABIkAEiAARKJMESAyVyWmnQRMBIkAEiAARIAJEgAgQASJAYoieASJABIgAESACRIAIEAEiQATKJAESQ2Vy2mnQRIAIEAEiQASIABEgAkSACJAYomeACBABIkAEiAARIAJEgAgQgTJJgMRQmZx2GjQRIAJEgAgQASJABIgAESACJIboGSACRIAIEAEiQASIABEgAkSgTBIgMVQmp50GTQSIABEgAkSACBABIkAEiACJIXoGiAARIAJEgAgQASJABIgAESiTBEgMlclpp0ETASJABIgAESACRIAIEAEiQGKIngEiQASIABEgAkSACBABIkAEyiQBEkNlctpp0ESACBABIkAEiAARIAJEgAiQGKJngAgQASJABIgAESACRIAIEIEySYDEUJmcdho0ESACRIAIEAEiQASIABEgAiSG6BkgAkSACBABIkAEiAARIAJEoEwSIDFUJqedBk0EiAARIAJEgAgQASJABIgAiSGJPwOpqanYsWMHPDw8YGNjI3FvyT0iQASIABEgAkSACBABbRJ4/PgxEhMT0aVLF1SvXl2bXZUJ2ySGJD7Nq1atwsiRIyXuJblHBIgAESACRIAIEAEioEsCK1euxIgRI3TZZansi8SQxKd17969aN++PfgD7+vrK3FvyT0iQASIABEgAkSACBABbRKIj48XXpTv2bMH7dq102ZXZcI2iSGJT/OhQ4cQEBCAqKgotGzZUuLekntEgAgQASJABIgAESAC2iRA3w01S5fEkGZ5atwaPfAaR0oGiQARIAJEgAgQASJgsATou6Fmp47EkGZ5atwaPfAaR0oGiQARIAJEgAgQASJgsATou6Fmp47EkGZ5atwaPfAaR0oGiQARIAJEgAgQASJgsATou6Fmp47EkGZ5atwaPfAaR0oGiQARKEUEMp5l4kXWy1I0IhoKESAChkTA2MgIDjbmOnWZvhtqFjeJIc3y1Lg1euA1jpQMEgEiUIoIRFy4g9QHT0vRiGgoRIAIGBIBK3Nj9Gyk21w/9N1Qs08IiSHN8tS4NXrgNY6UDBIBIlCKCJAYKkWTSUMhAgZIgMSQAU5aPpdJDEl8DkkMSXyCyD0iQAT0SoDEkF7xU+dEoMwTIDFk+I8AiSGJzyGJIYlPELlHBIiAXgmQGNIrfuqcCJR5AiSGDP8RIDEk8TkkMSTxCSL3iAAR0CuBkoih/Snrcez2blQr54XetSbAzNhCr2OhzokAETA8AiSGDG/O8ntMYkjic0hiSOITRO4RASKgVwLqiqHL6XH48nB3me9jGixDRcuq+C5uDNKe30FNu4aY5LcWFiZWeh0fdU4EiIC0CZAYkvb8KOMdiSFlKOmxDokhPcKnrokAEZA8AXXF0MYLC/F34jLZ+Ab6TEPCg1gcufWv7Nq4hivg79xF8gzIQSJABPRHgMSQ/thrqmcSQ5oiqSU7JIa0BJbMEgEiUCoIqCuGfjv7JfZc/U3GwNu+GRNDRxSYDPCZik5uQ0sFJxoEESAC2iFAYkg7XHVplcSQLmmr0ReJITWgURMiQATKDAF1xdDq+E8Qfm3Tazl1cRuOt32+KDMsaaBEgAioToDEkOrMpNaCxJDUZiSfPySGJD5B5B4RIAJ6JaCuGFp6cjRibm5/re8tq7yB0Q2W6nV81DkRIALSJkBiSNrzo4x3JIaUoaTHOiSG9AifuiYCREDyBAoTQybPnsH4xXNk2pYHjIwKHcPCY+/i5J0DBe45W7vj3rPryHz5HK62dTA3YKfkGZCDRIAI6I8AiSH9sddUzySGNEVSS3ZIDGkJLJklAkSgVBDIL4Zc9/4D/9mfwvT5M9yt1wh7V27GK1PTAmOdHdMX5x5EF7henYXZtjCxweX0E8K9af5b4GXvVypY0SCIABHQPAESQ5pnqmuLJIZ0TVzF/kgMqQiMqhMBIlCmCOQXQ60+HIgqMREyBrt//Av36jWWfb726CJSH13AuvNz2ArQtQKsarDVIFfb2oi8vkW418V9BN72nlymmNJgiQARUJ4AiSHlWUm1Jokhqc5Mjl8khiQ+QeQeESACeiWQXwy1+aAPKp+Ikfl04Ns1uNE8RPicnHEWkw91eq2/7uV9MbjOTEyP7inU6+D6HgbVnq7XMVLnRIAISJcAiSHpzo2ynpEYUpaUnuqRGNITeOqWCBABgyCQXwy1G9YLTvHHZL5PeN8H19v2QDePD7Az6Uf8fn7Wa8flWaERRtX/FhMiRQHVrsYgvFvn9W0MAhQ5SQSIgFYIkBjSCladGiUxpFPcqndGYkh1ZtSCCBCBskMgvxhq//4bqHj2pAzAkO7Az2yX3JyWO3Do+t/YkbRauGeSDVR+DFy3ZR/kYix42fnhg/rf4KOIIKFea5d3MKTu3LIDlEZKBIiASgRIDKmES5KVSQxJclrynCIxJPEJIveIABHQK4H8Yqjj4C5wSDgt8+mjDsC3LYCPGq1GNAulffjGP3B4ApxcCbhkAEerAM1ZXtVsE7FJbfvmGFl/MT4Mbyl8Dq3eD8PqfaXXMVLnRIAISJcAiSHpzo2ynpEYUpaUnuqRGNITeOqWCBABgyCQXwx1GtAR9pfOyXyfFgrMZP8Nr7cIkdc2CxHkBrKFozVb84bXeDhwoqr4ua5jAD7w/QZjwpoJn0Oq9WZnhmbC3MQSxkbGBsGEnCQCREB3BEgM6Y61tnoiMaQtshqyS2JIQyDJDBEgAqWSQH4x1Ll/W9hduSgb69dsVegTtjo0wOdLHEhdDx5NbuJB4Kt9eTiC3gMOuoqf61cMwUjfrzHqgGI47UpWNfCl/2bYW1YulRxpUESACKhHgMSQetyk1IrEkJRmoxBfSAxJfILIPSJABPRKIL8Y6tqnFcpfTZT59HNDYEgPoJfneOxP/R/Snt/G17uAj+VSDLUbCOzzFJs0dGrNxNBijNzPGuYr79eZizY13tHreKlzIkAEpEWAxJC05kMdb0gMqUNNh21IDOkQNnVFBIiAwRHIL4a6vRkE22tXZePIZsERTKcBHV3fx38p65D58jm2rQO65i0eoVt/YLu32KRJpfYY4bsIw/+rX4DFAJ+p6OTGDhhRIQJEgAjkECAxZPiPAokhic8hiSGJTxC5RwSIgF4J5BdDb/RoCZubislU+crPw4CuiGEBFKxeAPdZPARLFk0ut/R5C9hUT/zUtHInQQwN3Ve3wLj6ek1Cd49Reh0vdU4EiIC0CJAYktZ8qOMNiSF1qOmwDYkhHcKmrogAETA4AvnFUI9uzWB955bCOFaw4z/Te1fHnaepqMtunf5ecZiD2Da6tTm74po7dxPE0Ht7c5aK5Kr2qvkR3qw53uAYkcNEgAhojwCJIe2x1ZVlEkO6Iq1mPySG1ARHzYgAESgTBPKLoZ6dmsDqwV2cdwR87okIePjspiPEnxtfB46JqYZkZURXYHVOvISAKj0w3HchBu+pVYBfd4/R6Os1sUxwpUESASKgHAESQ8pxknItEkNSnh3mG4khiU8QuUcEiIBeCeSKIdPHj5BtYYFenf1gkZGGWBYq24ZtiatzF0hliVVdJkDIL+SfCvz7P0WXP+wILG0uXguq+hYTQwswcLdHgXF1dhuGd3ym6HW81DkRIALSIkBiSFrzoY43JIbUoabDNiSGdAibuiICRMDgCHAxVPmLT+G9+Tc8s3eE5QNxOehwdcDoFUuoyo4PPbQwwjYv4O14dqGQMqktsCBQvBFavS+G1v0KA3a7FajZvsZgDK4z0+AYkcNEgAhojwCJIe2x1ZVlEkO6Iq1mPySG1ARHzYgAESgTBCLO30JwbecCY42sATwxAzpcLh7D9BBgRiu2epQG/Bzthjpwxfu1IrHb86VC41bV+2NovfnFGyymhuff6+EUF4ubTQOR1KlXie2RASJABPRHgMSQ/thrqmcSQ5oiqSU7JIa0BJbMEgEiUCoIRJ5ORZCvS4GxHHAD7lgDfc4WP8z5AcDn7aCQf+gua+v0KWvLQnPnlqCqb2Jk/cXFG3xNDfvz8ej0LjuklFN2rNuDdM+CwRpK1Ak1JgJEQGcESAzpDLXWOiIxpDW0mjFMYkgzHMkKESACpZNA1PFEBDTJyZgqN8S97MhPkh0w7Hjx417iD4zvBKzfBPQ7k1ff7UMg2T7vM480N7bhsuINvqZG9QM7Efz5SFmNw1MW4UrX3iWySY2JABHQHwESQ/pjr6meSQxpiqSW7JAY0hJYMksEiECpIHAo+jxatqhdYCw7awJnnIBPDhc/zNWNgRHdga3rgTcS8ur37MuuyZn2q9wBHzVajYQHsThz7xC87JqgXsWcw0bFdyPUcN3zNwK+HCerfXbASJwc87mSrakaESACUiNAYkhqM6K6PySGVGem0xYkhnSKmzojAkTAwAhER8ajeXD9Al7zgAlHqgGzDhQ/oM1M8PRmwmf3GqB9Yl79T/jWObaFLrc0dGolBFcYF94CL1+JWVsXBO5DtXIFw3AX1av79k1oMfsT2e2k9t1xaOZ3xTtJNYgAEZAkARJDkpwWlZwiMaQSLt1XJjGke+bUIxEgAoZDIGb/Mfi3yUkSJOf2nz5s25svsIltfSuuhLuyKHLvARE/s9DaV/Nq82Sto/OO96CuYwDe8BiDubH9ZZXGN1yJps5sj52SxXPr/+A/P28l6GqrTjg4b6WSrakaESACUiNAYkhqM6K6PySGVGem0xYkhnSKmzojAkTAwAjE7jqMpp1aFvB6Yx1gbGfg1qLiB3SuIstHNAaIXQX43cirv98NaPNu3mdv+6bo5v4BFh1/X3ZxbIPlaF5FTjEV053Xxl/gt3i6rFZKcHtELviheCepBhEgApIkQGJIktOiklMkhlTCpfvKJIZ0z5x6JAJEwHAIHN0WDr/uoQUc/l894J23WHjtpRVhdZ9lXi2mNBsK/LpVTNKaWx6z0Nx2nwFZJuIVjwoN0NV9BJaeHCWrM6r+EgRU7VGcedl9n3Wr0Pi7ubLP11q2QvjiX5VuTxWJABGQFgESQ9KaD3W8ITGkDjUdtiExpEPY1BURIAIGR+D4n/vQ+E12uCdfWcOOEQ1mKXxu/u2PyidiCh1XpnU5mD159Nox1xoLXHIUq1Qv54XObsOx+nTemZ8Rvl8juBpTXUqWOr8uQ8OVC2W1b/gH48CStUq2pmpEgAhIjQCJIanNiOr+kBhSnZlOW5AY0ilu6owIEAEDI3Dij3/RqF+XAl7/3BAY3tMUR29+jIbfLyh0VOfeHgbv9T/A+FXRg/b9ADhdWbxvZWqLPrU+xW/nvpQ1GFbvK4RW76c0Nd8fFsP3pyWy+jebtMD+5RuUbk8ViQARkBYBEkPSmg91vCExpA41HbYhMaRD2NQVESACBkcg7ve/0WBgwW1qPFz2mB4W+K31GVSJjhBWgKxv30CjZfNkY+QJT1clTMHSJUfgll740P2GAcdYVLrcws8Mbbvyvezz+3Xmok2Nd5Tm1mD5fNRdm9f+doOm2Ldqs9LtqSIRIALSIkBiSFrzoY43JIbUoabDNiSGdAibuiICRMDgCMT/vBG+Q1hc7HyFR4Kb8IYNfmp3VnbH8cxJdBjyhvD5hY0ttm6LwaKEj/Hq+C7EFhHDIIDFSjhUI894I6c2OHHnP9mFwbVnoL3ru0pza/ztTPhs+ElW/269RtjzIzusRIUIEAGDJEBiyCCnTcFpEkMSn0MSQxKfIHKPCBABvRI4vWod6o0cUMCHmcHAV+3L44e28Qr3Kh2Pht3Fc7jRPBgPXT2xPG4cYlP+xiMW08D8ZcGhtB4EHPDIu17LrjEuph2XXRjg8yU6uQ1RmoHfwinw2pJ3Ruiejy92/7pd6fZUkQgQAWkRIDEkrflQxxsSQ+pQ02EbEkM6hE1dEQEiYHAEziz7BXXH5oW6zh1A24Es6aqPA1a2OfHaMf1weiLCUv/ABpaPqO8ZsepTexaB7oEYVq7z28BOlsA1t/AgCqmPLsg+v+09GV1YhDllS7M5E1Fz2x+y6g9q1sbO33cp25zqEQEiIDECJIYkNiFquENiSA1oumxCYkiXtKkvIkAEDI3AuW9Wo/bHimLkmKsVWgx8ChsbJyxvdfS1Q/r17FTsvboGlplA6ytAv4Zz4X3nJZqxFRxeeA6iH9j5o9VNgMcWgINlFdx/lpeMqE+tiXjDc7TS2FpMHw/3XX/J6qe518K/6/cp3Z4qEgEiIC0CJIakNR/qeENiSB1qOmxDYkiHsKkrIkAEDI5AwlffwfuzcYLfMZ/NR2pIe4w/3Repjy/C3sIZy1oVHlY7d6D/Oz8HO5JWy8a9KOgAAg4cRfPZnyqw+KwN23YXBJgamSPr1QvZvbdqfoyeNT9UmlvAF6Ph+l/etrgMF3ds3xQGvHoFo5cv8cokJ6mR0hapIhEgAvokQGJIn/Q10zeJIc1w1JoVEkNaeBgtggAAIABJREFUQ0uGiQARKAUELsxeDK+pE4SRRM79HimtO+OTyNa48fgyKlpWx5LQqNeOctPFRdh6+TtZnWWhR9Aw/DACpikKnF8bAO/1LGiqp+eHeKvWx0qTDJo4DC4Re2T1H1Wpjt2/bEOb0f1gdzkByW26IGr2csDISGmbVJEIEAH9ESAxpD/2muqZxJCmSDI78+bNw/Hjx3Hs2DFcuXIFrq6uSEpKKlEPJIZKhI8aEwEiUMoJXJw2H7Vmfi6MMnzhT7gW1BYfRwTj1pNkVLZ2xeLgiNcS4Fvk+Fa53PJLuwR4RBxA8OcjFdptrg30Lhi0Dt09RqOv10SlKYeOH4Sq0eGy+o8rVUH80PFoPneS7Nq2P/YLwR2oEAEiIH0CJIakP0fFeUhiqDhCKtxnMOHg4IDGjRsjNjYWdnZ2JIZU4EdViQARIAKqErg8eRY854lJUPcvWYub/sH4MCwAd5+looqNJxYF7X+tySeZGfhfwlwmnpIQUr0PAqv2QtWo/xA6QTEowy6mTTqxoAz5Cw+ewIMoKFtaj+kP56OHZNWfOjjh7KAP0ISF3M4t/y37H275BShrkuoRASKgRwIkhvQIX0NdkxjSEEhuJjExER4eYgxWHx8fPHv2jMSQBvmSKSJABIhAfgJXPpkK969nC5f3Ld+A6438MHhPTeEzj/z2VeBelaFVPnIQbcYpJlI96AIEFRJBu6PrEAysLYoxZUrb4W+i0qm8oA7Py9vh3DvD0fD7BbLmh6Z/i6SOhezJU6YDqkMEiIBOCZAY0ilurXRGYkgrWEkMaQkrmSUCRIAIKBBIGjcJbt+JQmLnqo0Y9vALXHt0Ufhcw7YO5gXsVJmY08kjaDeyt0K7uMpAww8KmmpfYzAG18lb1Smusw7vdYPjuVOyajz5a0Lf9+D781LZteNjJ+P8O8qH6y6uT7pPBIiA9giQGNIeW11ZJjGkJdK0MqQlsGSWCBABIiBH4OoHH6PGym+EKz9/9w2G3PtIdtffuQvGNVyhMi/HMyfRYcgbCu0u2wOFBY1r4zIA/bwmIftVllDfxqwCjI2KjgjXaUBH2F86J7OdZWGJC28NRp11q2TXzrKVopNjv1DZb003qPPbclSJicBzOwecGvYxMlgYcCpEgAgoEiAxZPhPBIkhLc2hOmIoJSUF/D/5Eh8fj5EjRyIqKgotW7bUkrdklggQASJgmARSho6By08s+hors76egC8ffi38XMmqBqY3/xMVLJxUHpjdxXPoPLCjQrtbNoCzYrTtQu1amtigk9tQIcLcKxYumxd+njS3dOnbGhWSL8s+vzQxxcWe78B782+yawl93sOxj6cLn912/olKJ8Tw4BmuHoJweskElLaL/fl4dHq3q6wbIcrdHNWFpbb9JPvSJ/A4Mx23n1yFi603TI3Npe+wih6SGFIRmASrkxjS0qSoI4amT5+OGTNmFOoRiSEtTRSZJQJEwKAJXBs0HNXW/iCMwXsMcIElSeXl86brUM8xUK2xGWVlofM77RVECzfkxMTQXSaKlCku5XyQ8ug8ypnZ44P6i9HQqbXQrHvPAJS7kapg4lK3vqi57Q/ZtQtvDsTRT2fD7uJZJso6KdSNnrIQiV37KONCiep4bN+okGvpvlcd7Fqj+pbDEjlBjQ2ewPVHlzH5UCdkvnwunOGb03JHqRNEJIYM/jHlL6yMjNjbK/H1FRWNEVBHDNHKkMbwkyEiQATKCIHr/d9F1Q3iqoo7Sw2UxLaz8bKqdRzKmdupTYELogpXLqDh8vmyUNizWdLVqSz5amGlsrWbEJGusNKgYigm+ok+9ujaFNZ3bytUS27bDa77tsmuXXqjP458Ph/u2zehxexPFOrGDxmP+GF5WwHVHmAxDRuwcddd+72s1lP7ivhr5zFtdUd2SymB3cm/YM256bLRTfPfAi97P72P1uTpE1SL2o9scwvcaBGCl2bqr1iRGNL7dJbYARJDJUZYuAF1xFBhlijPkJYmiMwSASJQKgjcfOsdOG/5nzCWaiz36fXyQHC13hjhu0gj46sYF4v2I94SbB2rAvgVEdegp+c41LJrggXHBhfo15UFcpibE8ihV4eGsEx/oFDneotQVD0cJrt2uUtvxExdhMYs3LbPhp8U6p5+dwxOjVRiv14JRx80aThcwncrWFl/8BJemZrh0Ys0PMnKgK25A6xMy5WwJ2pemglsS1yJDRfmyYbIw9DzcPT6LgFTxsheQJT0d4rEkL5ns+T9kxgqOcNCLZAY0hJYMksEiAARkCNw643eqPzPZuFK7ja25a1YnjeLShrj1L6XPypev4nkCuwMTxGLMkPrzmdJXt0wJ7ZfgX7tLSpjWasjwvXerevA7MljhTp3fBvDKf647NoVFlY7eurX6B8gpmqQL2cGfoC40Z9pbGxFGerSrw0qJF1SuL3178P4OW0ttl0Rzw7xQBH9vD5jX26Ha90f6sAwCWy59C3+vCQGOOElpFofDPddqPpg2AYm25QkZFtY4Enlqqq3z9eiew+2XfWmuF31jm8T7P3hT7VtkhhSG51kGpIY0tJUkBjSElgySwSIABGQI3C7cw9U2vm3cKU80wgVKnqz3EJ7NMooeFAbVL9wCWkWgP3nhZte0eqYsE1uRsybBSqYGJni1/YXmXgwRt/AmjDJylSo89TRCVb37siu8W1zxz+cip7dmhWwpelIc+bpaXDbsxWmTKDdYAlrH/j4wig7G31CvAv4uf2XreiV0lc4/5FbHC2rYWloXhJZjYInYwZPYEPCVzLxnDuYd+vMQmj1vjAzZr9QSpYmi76UBRk5MnEOLvUaoGTLwqv16tgIlmn3hZtZTGBtDL+gtj0SQ2qjk0xDEkManIq1a9ciOTlZsLhkyRJksT3nEyZMED7b2dlhzBh2ulfFQtvkVARG1YkAEShTBO627YSK/+0SxmzJolHXdA7A5KbitjlNlWaj3kDN4yfxkhk0ZflVXxnnWX6fLehMjbGBdeXa2DR+KMZcHVlotytbn4StmR3ebuFWrFtXW3XCCRZa+41eYgCIDBd3lE+5Ivx8vt8QHB+vfJLX4joLnPwBauz/V6jGw3z/te0I2EFivNWhQYGmv8+fjYHPpihcN4IRfmmfoNIX2+J8ovulh8DaczOwK/nnAgNqVb0/htab/9qB8nN71aL+g/XtG8LZPdNnT4X695hg3/PjX+z6TTyp5Cxs3VS19AnxgunzPFG/b8UfuN24eQEz955ex5ZLi/E4MwMd3YagtoN/gTokhlSlL736JIY0OCehoaEIDw8v1KKrqyuSkpJU7o3EkMrIqAERIAJliMD9kLZwiPhPGLEJ0whNq3ZluYXEUNuaKg0mvoO6EQcFc3aTgHQrMaHr1YdnkTEXsH0h9nS8a2c08ROFhXypzeIlrMr6ALYmtmj4vZgg9nUlNagdE0OT0a1PK6Ha9eYhsiAOCb3fxbEJhUcdLc5u/vu2V6+wPkIVLu/8dTt2PdqDJWPyksDmVvjlkyF4v5x4homLoOArr/B2PEsy3mgorg+eiJfsMDqV0knAmeWb8p87CcZsVZOL8eR23ZUa6E9nJmN/yroCdfmq0C/tEhTCzstXKpeajI4stLv5o4xC+8m0thG2m/JV1X/X7sJzh5wwkkp4xUVW/0BPhZp8xfV2o+bCi4AbzQJl4et/PzcTO5PFZ76ytSsWB0cU6IHEkBLQJV6FxJDEJ4jEkMQniNwjAkRArwQetAyG/eFIZLFUPmbTgLY1BuK9OrM16lPtmSPQ6F9x9cmNRaxLZhHrfmx7BhfvHMb8nkMV+nqffUdc7ws8y3lZXfcWC7ywGrDIVnTpGUtkmrtNJ7+zPKDCidGfo8uADsKtlJAOsmAGF9j2oKNsm5DahX3ZM2NfMDPLlRfettf5faWCqd3sjfu0syMQvViMeHfDwQpV7otv5DcMfwv9q4rns2pZ18GRqWdhl/Ny/e/xo/G430S13aKG0ibQekx/OB8Vt0PylZndTDQrU1aemoDI6+IzM7npenx/6iM8eH5T+PxD29OwNrUt1Izv6q/h+3NBQV5Y5UPTvkFSp17KuCPU4c9/77bsl7SIcrHnAMROEn/HlseNw6Eb4jZcXtZ1FHf/yBcSQ0qjl2xFEkOSnRrRMRJDEp8gco8IEAG9Ekhv2gIVjkbjiSlgw3ZwDWGBDFq79NeoTx6LP0HzjZtkNs+yl9Apc7bgoZsn207WsEBf00KBmew/XoYfZatChXxvTPP0ht3lhEL9vNEsCCdHTZIlPb3SoQfcd28V6uaG3VZngMYvnqPd8DfhyBKqPqhVB+nuNdl5oX8UTO39fiNmxA/BwRUPhesnPe3Q8HKa8PPf/Tqgh48YYW5QpeH4bRRTeTnlhxAH2Hx1Qh23NNJmV9LPbDvWT8h6mQlna3eMa7QC5c0dC7Wd8CAWl9KOsyAbldG0ckeYm2g/ia1GBqlHI/Ih4dNdPbHjj/1KebP05GjE3BR/AX5oE4/1CfOwP1Xcxvpt8EE4WbvI7Jg+fiScV8u0LY8m38yA98ZfhHthnQIxy+kghrAtqW+fLthtzGfzcbmH8r/zVmx7Xc/uBbe75Vp+WN0N2zaLu3zk/eeff2t/ieVJUtyWR2JIqUdB0pVIDEl6evQkhm6xV5n9WESkKeybRWuWKFAue7rEcZF7RIAIlDECD3wbwP70KTxg32cdWACFtR0ShShnmiwVtn6PLvMVzzcktX8DcSM/Yed6WPKhfOU8+w7+LTt+sIftxHnzHLBwb0FvbvoFsDftUYW6eYudXYj7YCLaDxPfdnMBVPPv9cLPl7v1QcwXykfjsrpzC9Ui9+K5nT2yrGzQ6qO80N/Py1eARUa6gg/7l/yO+adHYM8PYsS7rc2d0SNafJMf27wemnUUv41+WeMrzHif7RnMKRvqm+Dl6kRNYlfa1u0nVzEhMhQvX+Utv3VxG463fdghsnwl9dEFTDrYTna1T61P8Yan6ud5lXauFFTkIqVPm7qykTyq6oJ//hS3jRZVsl9mIftVFr6LG4Pjt8VfgF/bX8CWi9/KAirMbrEd7hXEFRp/lk/Lk+XV4oWLrQfedWVCffyS0VjyYDk+ZzvU5haiwY6ybaMX2PZRZYtt8mV06ysmQS6qrI9KxCsTE3x7YgRib4mrwrwIZ//Mc5KZ5VwjMaQseenWIzEk3bkRPNPLytDo0cAKMXQqbNkS9gy2P304C51qo2TqdYkzJfeIABEoPQSueVRDtSvXcdsaaDYrL5+PJkd4O/0SEpa2Ec7HBF0VLfNzPaeGf4zOAzsJn/PnCuLX+GrV902BCYcLepPUvnuBVZncWrfr+wm5hNqO6itcOt/3ffj8IR5CT+z8JqK/XKzU8Czv3UavLsyBnJI/hHdhRsK+/hmL4z7AP2vE/W8LenpgdNRT2LBD7Bm21qjw8RN+YAhzqy/E50Pz8h395w5cW3eRvTVXP3mlUoMqpFLU9a1YcYrtX5Qr1crVwoLAfQVq56/bpFJ7fNz4B3W7LhPtbK8mys6vCc+1kzO2bospcuwnbv/H5mO8kIsqt/AzZms7XMGOpFXC6hAvn/utQ72KgTBnebfyr7Dmngni9QZ/OxBrWEj3USw6/fKCR/JwnJ2vO/9O0bmLeILViqePw+jlKzyzd4AxW33q+F63187dMRbNMaH/UHx9fKhMzPEG3wRHopJ1DYW2JIYM/9eAxJDE51DnYoj9I4GOHYF9+f6IBLKoRpGREqdF7hEBIlDWCKTbl0OFtMc4x7auLVgxC+1qDNI4gjtPUjA+IhAm7J/HrFmi+WsBrXGW5fxpN7K38Dlu+AS8YCGnm/64TKn+E/q8B69NvwoHtvOXu3UbCUKr9YcDhVtnBo1C3TXiCyq+Ze7wjCVK9dFi2oey7XVKNWCVIuavwncnRmHTH+Iqy/S+Hnjvbh24/idudarKEtveYIltv3ZeiI/lkr/yrYPhW46igoWTQlduu/6C+84/kW1mjnMDRuBOw4LhwpX1rbB695/dxIGU9fjz8rcKty1NyuGndmcKNNl39Xf8cjZvxaiWXWNMb/5XSVwo9W0dzsahIz8Ml1Oe2Tviz515ebHyA/j6GIt4eEfxO4S5saUQdTAsdQN+OC2uKI70XYygam+iSnQ4Wo0v+ve26+Ju2JGxDW+fYmd2CkkHFDfiE5x5b2yh82DEAj50fysENjevye4r81LgUre+OPLFAiw89i5O3jkgazun5f/ZuwqwKrYuuhRBSsUACxFbVFTsFhUs7O7ubsXu7mc9u7tbFEXFbsXuLjBRsP+959y5M5cSlbi+f9b73vdxZ86cc2bPeO/ZZ++91k44JlSiZHxCc4b+/n8CmjNk5M8wxp0htgf/OG+nH75apLr+WUeTxKly7ChpKXNG/sZo09Ms8H9kgeBgWokQtRthV0YiKpi5DekT5YxyAwQEP0UXH8p7o6/GHzoiN2Z4u1GrKVx7tZDGO91jKC5Wq4V5S3KgPGmVDgmbWFQ/tyuN2iHD1lWh0tS4wassOXCxdQ993+wY5ZwrokGsQXRkZOQcLndKs7O9dOaX7HF4+HTMO9sFS0WJEno1To/GFtWRiwraGeVI3sWLbP2P7UR06thL3/crSlNcsH0fOCIjg3fka5bPracwfp0hK3atEDVHUYFtd+Zg9Q0RZZAR38QCn74JwoewCvS33ZlN1ygpj3YWDphSUtvoi+h5JD/pizJdGuqbfKaanvV7KUwaDgYdq4I7by8YnLUyTYS5ZS7icsARjD7VQDrn+JreI5vhqDQsYqr4EpPL4PA7b3hQid12kS1qAD9yhC6SQySDa+NS0JxNg4htjljm3DpGvp5I7oPTYI/Sv4WxpxrjUoDCIDewwBqi1zak4Nacoaj41xy7fWjOUOza/6ejx4ozJM+KHaHkyYE3ongWQfQDY64Vmv70oWkNNAtoFogZC9wgocQsWaSx5uQFAsd5I5U1rdSjGG8+vUDHAyLd7As5Q/HIKeKan8fFyiDv1OHS8WODJuFmhSpo6iWcgR9DI54EL+AciRTB+snDUA1fZ3TCpZZdUcJTaBadJc2hPP8IdqsHpSvCd/Rsw2toA4sXgN9JJ0iNckRNzGQJv4LDA8fh6ca+qHNFXNW+RTrUz9wPJfqJNKTOlBU4g2rP/006EW06KwtQPhefykzHlPJBCivKmSNwvZJaOFYSt/ShFW0UbaoNPFoJd98Z3p9jwhy4907UNXGanNo542Nrb4zHljsK9Xp8E0ssdKfCLg3hWiAN6VAVJz0qGV/NLeg5Xgu3fbeDRfEy6JHB+aTmqUic9xjVdX3HgKMViYHkKm78E5plMaxO804rjrOvD6MQ/VM5JliuDXCFUuReuBREvkksAkbv3auXMKF/D38CZnA8PG6u5LixAyeju8s85Ete1qBrzRn6E0sbx7WaM2QczyHcWcSqM8SzakA7OKt0WzEBAVShnMTILaZNT7OAZoH/Gwtw6m6JEtLtDnYF7IaeQBLzFFF++1wM3v1QCQQEP0YwpckxTfZz0iT5YRJXTze8fbW3VPjdaI+jNP5MCq53ICa58MBpdVzHkPqokoIjt33rmBF+5AwVHSRSf072HokCE4TYqbxIk9vGI60Vt/Z1kOS6H/yz5Yb3rNX4RotVRsWGZcNlrAtvXod7D0GhScNgygqzhAYd0qNR4VlUG0Xp04Rp5Ah1I4doUaIJaNZdqRnicw7dgNwu7VEvCzFZEKyePAhFMLHO6yK+EHFDVMDzSHnSejJ0ZAqm8CD2sh1S92Ht4i+5MhheD5YYDG9NYriZbPKijfOEcBnoomK+f2sf6betQaFRCm36d5N4WH3kdri302KvE0XnqLaMwLVCXEfGRBUV07WWjvHzCVzYAQsMiQylOjx7IvtQ4wc5ztmnFsDV1ycQl97J3csB9xA8HRzFYZIQU4pERoQVJVKg4SFBBsLg1M3v9L/px8AwLztPJCYLPm3GjDS06ULJMYxWxFZZKgRbpeYM/a1vtjJvzRky8mcY685QK9LQWKDbinlI2zL29kZuMW16mgU0C/zfWGA3sTxVEAQG3UmSJ/ug8HVL/tQmHB268PIgpjfsj/ifPuNFrvySICTTYwclscWmncLzabIng8Si1Zf8tLFCCzZMnOvkSQXd35F71rhQ55nalyNHhUf0lM5x1En++3HRMjhIJAcy0u1Yrz/Hx3xHzsQDt0rS6cpUK5Hg0T18tkoAsw+CKvtnONa2Cwr+Ox1xdQ0zjHfCmHwbUKd0NunIdgp8VaaMqRXWE9Ggl2Fk6AIlErQfXgWdctGWPyHhvVuoVK+MwZBck/TIVThWfwpmhWN2ODXKpW2OPfcFJXOvPAvhYmc4fsiCePW1dTL1IWY5IhDSYGCBLKvmI+80XbGc7szKY/fCjPCxc8pOKiOPrRu6usyRHCKTuMQmokKKMS1Qeov4BzKmtAUKVJ9P5AbJ9NpaclOOJjqNzYZbbxXa9tIpaqKLXbcwmRwjenQDScP4GDF5z7tWEBY/THGXyEicF0yT/o1EhKpErrs1q2hRO1MvVMtgWJ+kOUN//z8YzRky8mcY685Qly6U1Ct+2HCd0hsyZzZyi2nT0yygWeD/xgIbNojaRkIbWv+XGHCXaLXlZXz0WKFWmRySY+GfwwXm/i9h/ewR3jmkx/a1IsLTYm9WqWYlsz/VMP0LWH8Jex6nuw/FB6IoLtm7ZagGgSntcblpJxQcKyIsh0fNQvEBHaS/mbXOZ4oS2Sg4qjcybFur7+NGzcY4TZEkRtWqhWH1/IkUseJ0PJMvuhrQCExzzb08su4VVMJTqDRicq3MGFdsL2qRSCU7fydTEQ0ykYuus5iAWn0NI0N8jevQXGhTXmz529y8omfbk4fkWiufqUuj5OH0OlwaTz8YRijqZu6LNTeEg8lOWeGUSuH/tVcnMeKkILxgqOuL+HPxVLXQLqeojdKgWMB53hRyGgwJKlYfvilFVUJi3c2J2HxbrBmKp6pJ9gyb+bB43zZ6IeGE9JpPrXQVyZ69JLIDEemV8ZnEgbMMT0OpjwoZBmtD9XMYYcCUGJnn1ceNaO6JC6pv3qXIaVtSuqRCo/JIfCviNMlHRKq7Lz3gT4yV52rWhkexiQbDac5QZKxv3G00Z8i4n0/sUGurbdKPvqXG6XYuz9HOTO7QAoNGbkJtepoFNAv8Vy2wlBbVTYVuTrNaZijb62a032nNsrmI9OANApxywvrxA/F3VmfsWSzY1lrvc9ZTCltT2YIDyfgE0aZ4KyLf6q+SZjnZZ5RU51CpPq3QQoCpiy837YD8E0Vh+cEJC1CiTyuJeY4FWQ9Mp1whHUp3amCgV/SgVAX4jpkjna1eIS8sXvtLAqucEpTsyvmf2udRDmfY+4k6nG4UbVvrlgETi+9HlWpFJcfvOmkoZaWN8U1m41Ctv6IzJHfs3jk5mjckDmRC0svnUa5lVYMxmTZ831xyYlXgqJsZER9YxqNV5y+gB6UuPv943+CKNjkmYq6fiFiFTGlafnU4dpEwK8Mkjin+LXMejwNvYsjxatKxrIkLYlBBxbH8han81U1tz51AwTH9YE7vCr9fR0YQQUdcZVMhD9XFZV1tWKyzdv8VfLUMLbex4HJ/7H+4QrLHkIIbkDlxvjBt40rscamIRY4RZwgtM8jhzvjZJpSDw1HXjJ6J8OQDsZLokMA0Cebm80a9ci6/ZHd+n6cVZha7KcRiJzS8nGYMh8tycW9Pk9vA+uMnJHgvCDjCwvbC9ng3xVAfTHOGfukxGGVjzRkyyseiTCrWI0PDqTh4CH1TMY7QF0CRIkZuMW16mgU0C/zfWGA2EQl0EBGTRo0SoWIn4t6NZtSokIcWjQF4lTkbEt25CROi7mWRVO9Za6SR2+/Pi3efKSwUAkMocDRUxTB3fOAE3HOvgjqlnKgWQlego7smiNKFrjZuhzzTRYTnAEVSSvZsQfooX4m4oQj2z1Aotco3qYgkN5Rdc667ODRhvnSdHM3hWqJjQ6cgPYlamnwK1msWyVP8RgtfE90cXjo6wvbePelUK5Ji2V48LSaXOKTfQX9G69+UFBDaYTIOFQcJZ4gjYwlJi4ZRqVE81Ot4U4rQ2Z4/qacel8d6lyYdtq/zwdtP/kRZvB9rb47Hm09U8E7OSefcM8C7/pFFV5+i8A82LNTn1LiJZwXDX6Osg1HBUYm8zffrhwOPhO165lmAPHbCEZWdKrnIP7Lj/1faFSOiDocDu/S34/XvevhTGqgMtSCqfGz9ngv4nMgmlAmmnWuPk8+FGFBYbH7yBaU6N0TKU774RrU48WiJ0ZOeWwGrggbirtz2Q4rUSNc9LhEyGBKNzCh0AB3LU97bL6AD8TbMJmb3BlkGwCNdG3AtYD9KtUx89w4S0sbF2ZTAVeLWSKfjjAqr61MZEuDmCkHQIUNzhn7hIRhpU80ZMtIHI08r1p2hiRQO7q1LhdhLhY1uoXcxjdyE2vQ0C2gW+I9a4PuE8YjbRyzIm7fPBPemoUU2o/rWq1XKD0v/F+BFfcKHd6XuHxVzw6GJYne5M1FwvyIqbhmcqjXjQmd4Ejvv6P3KbI6QVtB90gy6tbotclDt0z1aV1a9bYYMLz/jU0IbSZNHrifaN3MVXHs0kyiqn1M0yXu2Er2oUp0iNk8Vh0CdRlenZObQ11B0qUFhRwOzcPpPMl3t+btkSZHQn8hyCPVrUnpQfnuJetq9XR0kv3BKinJZEpeD148xcB/mKbV7lrcwUpwRyrKNq9OeWTehNxSSkpnPy7TMYTHB5UxWEn3zRT6FLqStk1umBUeG5FS4Whl7oHpGRYx15oUuOPp0izTPOaXPIYGZIAQafqI2rr8+iXhxzLC47A0iu9NVy0f1y2Ok/cmOiTy9QxRZfEQRRhnFiEnQwUekTsrYuOMUgpPahbqjkSfr4uqr4+TcxsOSsrfCtWXpjvWkd+aTCZHUDqJaO6ehKG/fBPWLUj6aCvzvLG2HD+QwvzCjgO1pAAAgAElEQVQ4PqrQNvQvH1o49ZuJCemBfQOTPPDmgRrs3C8g1kmPdG3JIeqPm2/OYuhxemFVuEJBMafQexn6FhfSmOPyOioZIHwhXbGzL/bh47cA5LK3QbWs1WCfMGbqqmN9bWik7/LvTktzhn7XcjF0Xay/8LNI6K+jrqB0C/2IVFHyr2PIBNowmgU0C2gWCNMCbzy7w2asqGXo0NcVxaobsoRFh9nkOpxgmyQwf/NKGkLWJOG/x51ugov+IgSUzNweAwqsIia64uhJgfWJKqKsw6Nn4WFpDwPq3qML4qDwwx/4YmmNa/Vb6es0vCitjEUpTYk57qVzXuydpyhPyjVM8r0+zV8MB/6hNCWV0xMyta52EUdii1PEXm8nBjKQ5gvjMxWsm5HTxahChePbqHA8kZktli/2R6Ub4hozyRkaDddR/aXPLASbjmjCGT2IdThpz+1Il8gZqY54w5UiWiExt0N1tLULLXRqbZpYclIi64x0PJBPiioxKjq2lgQ8v//4RtTNHtKxSunaoX4W4bAxJp9tjTMvvKS/F7lfp9Q8QUVuEM0ocwmWpqQq+38Et7a1YEeOrowTnmNxu6qizRMyFZPbbd58FB8pahMSfX3LEqnFddiQMzyzVPh0im4kVmxHkcOP5FxbCaJErCh/H3VcsyJesJKm9iZDFqRp8RyBXwzDNS2zj8HsegNg+k2JqvqR3m+l1gkwO/0SBKV0QNmW1aTUThlNKBtymS7Tn1PlLE0T0DtBJFGEfMnLwSlxYXTrNhR5FMI5XE9uCtNPX5BeN/x1u3g4s1XUqa29MYFo2hXNL+8m3iidrnSMvDmxvjaMkbuMuUE0ZyjmbP1bI8X6C794MW25Nhdzb0Rqe8uW/dZ9aBdpFtAsoFkgqi1wv3UdpJ2/Tuq29+gmcCltyHgV1eNxf1VqFJPICL7TDnRcFqIm3KzeEKf6jpb+fh38HKee75Z2xlmPhBfWzbwyo/NxYLpqc33hwC4w8+iGxnuUnfAdK+Ki4k2xuLtTsRbS71wv/b2NyBnKtagqERj4Z3eB1wLheNidPQ63DnUNbpMpv71nr0FcIkuoV1xoHoVkoKtR3BHmXxRn6CyxkasXgHKHbo0B7wzi0zIq82mkk/SxpWSBzSYjUXSsWMVebtIB2ZfSxpkOg5dMQtYstWBPqVeyVpJ6ki8pEmWnY2rOkrgApcy9xLOPIsoWUWqVwY3Sh3beLnj/5RUcE2bHqCIiNevZh3voeVgUx7s5NAZHh0afaoiH76+RBI2wLbObLSt3V+90LboyEPseiN+2ScUVnaSQ4/1XP5drUQVJrygiqcx0eJVEgWWUa14ZSa8apqBuXX8IgfZpQ5mE9bg4imNvLYg3woN76+okCHwW7+KTs63zV5tnG4XxnSYh2QuxycDgerzUDW/phXTV/T0krgt7FUniAUegdDMl6hdy3vUo0rnGWfTADn6dzL0xz0+8iB1yTkPRVNWQo0Fu5LwjdgYCEyemeqWEUl3aVeKEyEoB0weJ4sB3zz3p/IQzzSjVU6HG15yhv/dfiOYMGfmzi3VnaBflEVekRFsGixteC19ozchNqU1Ps4Bmgf+YBS4TdXT2DUIdftisIciUJ3QUIqpvWaarVvfLoo/nO4soSVjgaFHhXQcxR8jfSOjRtSg+layNWRdJnEeHqfR12/WE+PA+tQMSEEEDY623HzlhxWH+9rWerCERUXp7kI5QSMiRo3gfAvX1F2pSBW5fpYQjrD8rzpA3aaSWEb6IAQpTuc1xoiJmzKC5d9QFD/ISm9ysRMNRcIIgeOAoV96RPWH5UezonyuQA1en70Bary0oOpgYSQmXG7dH9mWKWCwLtCawToVhhTZT3dAEHHosnNoZroJ8QS6YtyINoLQJsoUZLWrjnRMfvrxF+kS5MKKwYLBTC+Sy5hCn3skLXvnmzE2ssMBdpypLBzfcmoqNt6ZIpwcXXI8siZV6mVBG+Q8eqNCwHBLfVn7b2bm90EEhx6hU21WfEirf/vZV+/AunXC21ZA1hli3aWghJYIZsl1Zcu6Z0CPQ0gwJ+igsh0ep3K2wqgzsZY48SF7rvN6RVfeziIKLzRQfDmuyA/WILFAW2y3dqb5eB4yv82ybD2NTKtEqZrs7/ESQecgMcy6tSsPJT0R+nqdMhhxdzaW6tDPEScIbBuzI79p3U9JOUguybq+/HQXtCyKZZbIYeUNifW0YI3cZc4NozlDM2fq3Ror1F/4r5dyamoq5a87Qbz1D7SLNApoFoscC50plhYuPyN+ftnIpbNOLiEB0wqNuaSS6b0jnfLrnMNyo3SzcYblQO/7KEagzY7G+TatuuXHPOQe8HyrMcB3JEZqh1LFLbb+SgOraA1dRvWI+iRmOiRt2L91FZAhrUWhkaGrrgGy5sGfhVsSnFL6a5QXbljqNjz+XL5UWSVSEWatyUH2QYU24dF1OCg5c0mnYtiVHSHbmRhWnPvINQd4pw6R2B4jq+9uxdXBbKxj1vpIY7aZd52F/yAuFRwpmtyPDpyPB0Z3IydpQhBy9E6N39RMwjRsfS64MISFUYZtuuedg+oWOUrqbjOoZuqJWph6h7Ntyb3YEfwskwdQ8tPAWaXfff3xHu/25JScpPHBUYFZpZVHMUSGODsnj50+h1MvwsbR7t4L1nALJQT3foR++WlmH2fX7z+SsBj+hcz+QxjprKG2dcCcUyycq1SmlJ8CQp7Jx+0kEJyPhKIL07r0S6Ygydi7bhTfEUqgGPzM50vmz+q/yTT0koWBON3Xsn0DPCriJ+C2qiX/SEvbMWI7y/pSVQrCMl1DP1Mifu1C0dZoq2jqDfNjOlCFZIHlFZE9aFIOmeyGdr8JaMqF3LVzN70LPeoDUn61FGj0xw8jCIrUz+eROKLN2m3T+UMlcqFb+OV5/eoZDJO1VnPYmOK1vibeoiRt+ohbVmp2S0i0/DQyfgS46Hm+srw2j46ZisU/NGYpF40dmaKN44XPQL+VlYitKRQITjx9HZtpaG80CmgU0C0SvBagmJsDWGkkDPsLfAli/6zQSmlPRQDSjIkVjWGhVDZ/Ji/CkSMS1Ao67NqLIsO76y6p0sse2ZIZMaI6UnXONShDiK34A3lMq0jZKSapWuQAsXz4H11DsXOEFp+Vz4DJjjNTfmW6DkX3JTD3LHTtLFi+eoXqVgtL525Vq48RAoY3CRd8V3DLDTkeYwMemUrNuuoiU+r4yEoX2baLSZqShmokHOqmZ5S6myF60l358b6pR8skQD+n610ULHXs3s+UFvLsLj+kifW73iHF4e3od6m4RTsiQYU2QpZxIa1xzYzy23iEaL0KxVDXg+8QwopA+YU6MKCIWqGo098qCz9+DKZJTgCI6IrLE+Od8Jxx/Ztg+LdmWo1/nyLl7nMFBIoWQcfLZTkw73176yKlabg5i8c3OzeHbS7C8uYgaMU6ShtMt0nIKCXXdEZ/jOQ8rvCXada9CTeQ3DlStVgRWzwx/289TZOgKRYgYMhGHuuvd5HC/IsdbjY9f3qG1t8hDY4ekq4sSCQw5LVnfJyipLaauWioJ5fIzm7wlCB1UpUaLD5xH84Oi0MeBIoQP3isRvUr0z3CbQqyIwa7ACPpfxpbtSVHltCADYYzzbIi3RStizGlSDQ6BqSV8YWuZBtdfHsHxNQ0Qn/aBE5TvgR1PluHt55fYRVmU5XV7IBO8vJA6YRYMOlYFd95egJVpIgT2j4CC7jeeyc8uMYq14c8m+Red15whI39YRvHCFyLlvRP0S5mANCDevTNyi2nT0yygWeD/wgIfPpCiqdih30Za0C8XXoF5vNC6J1Fti/JNKhCVtbIgk8Zfsx/vSdg0IqQ6up8Y4XT1l9QwcyeqNQojo6YpybktFoRnEq7XaY4zPYZCXrCygOoOGi83OULZyCFi7CKNIxZvlZyl9Jmxc+Veg8jRzeqNqKZplNSWF6wVKxC5QaAyxopKzqjldRXxPxuyb6XsSTU4OukfcxKPDRJdYFd2C9gXaqsQPBChw+m08bFugwfOkdAs41rdFlgZvA3Dt4iIwoAurvj68CLGbRL1IAtJdNO8utih33J7hpQqx+Ad/csBhjouTEQxzdXwGLdtsicjvv34AqckhTCwgKA2Z7wMeoSeh0rSOXE/rPf0kLQ/bQQvBNx7OqJ5bSVioBZjrZGxO7InKUIF+6/BTtKNm5vxQqWxGTKFjPtTp+bpJ0F/yAts9TFj/DusyI9cBxeXqNjrlaQU+RDYO2cdXuYmnmoVAohFsQuxKTJKpq6NNs6G4qTqthUbuMPmzg2wptbmbcIT9/P3hdeWhpKDYxsUF9cbtcfmBhUw8BgpKhPYwZJpu/kzCxtfV/gLJCp4ZouTMZMClWrHauzg5rBwbYluh0h5VQUme/jH9QQ5ria49eacXneqeoYuVEu2XKpL27AaqKHLJBy5aTnSpywOzyPlyTm7KpFFvO5nyHYX3c/ZKNaG0X2TMdi/5gzFoLF/ZyijeOHd3YlflShrmW6UC4b/z2hHf+e5addoFtAsEM0WeEM7sVTgzFhNtQJf5t2OkbSkcs0qIek1HZMAjf2Dvg/XHLyO72ZUCR4B4pAeUYExnvh2eis2ZPqE/hGoFDjRuioFOSvpUpdEmSrEkEdjyMQNsk5Psf7t4bBfkAZs3nIMbm1rS8xZrPlzst8YA2IF9QKe9X08KueFg2pf63y73siybjEsAgxToRKS5vZ7QbjGmV8IJtkjjlqdzGCFBAXqw2mV0DPaQZGqGynNMW1LCdybJppfq1oXCz6uwQRdDT2TMaT9RLU6a8mJJfgOGIsHlQVj2e57i7Ds2lDp71RWGaheSGzBm5tYS2lwZnHNsaisYTSOzzfanU6qJcmRtBg88wuhTxlc2M4F7gwXylw7O1c551nXAc7dlcjQ0w930Otw2Jo1qchOj8mRknGDokKnKTqkxgMiZ/A8QoqeISCnXoU6YWQHZD0qFudNfFM4+o+LlMLByYthTu9EDY/Qwqkh6bela0jAto+veLHLpW0u0WWHBzndNDCFPbZuFo7u7TfnMfh4VcQhnosa6TqghlNfcpRnSlpUjDY5JmD5tREGqXJL9yZBbb8f8HdMixwVLuCtuVILN5bevb4qH3rMSPo3U6YvRp2sh6uvKcdOB54nz5dx/90V9D8q0iSZgvvAw1XSeEspWNlYxyFxJX8u3OkxCW0etcVTeleTWaTGyz6GUd7ofsRGsTaM7puMwf41ZygGjf07QxnFC1+DlJo36WhQA+kX2ir6d19/x1baNZoFNAv8H1kggNJfkonQygrKzIkz736M3DzT9Sa7TOEbHT4kT4Ut5IxEFpOIyvfsC4Vli5nNiqSsiiNPBUOcGixA2s1FhFrkIvbAVGkkEdbKVOchY43PNVRsVB4JHt0Dn39v74iUJ5XFvpoGmXfvPaoV0lMFcx9nug5Cxs0rDWqhPpqZwMqTN7+UGT2l4E0K8mVupLZC3HxVkHGLyFHavOkIniYxx/CtefGUGL4Ya/MmgF+C9xjuIz4Xo7WmTTCJuOrSmk5TtOsGRb0YBx+txVw/Uf9kES8Bgr4KijBmibv3TgjKzne7TOeUWh2uDWq8h5gfCGHVp9ym9KXBlMbEKEqvhu8i5T4m1c6KlD336A9wfRGTMYQFTl28q3Pw+DzTiN+htMOMW1ZLjH2frRNie6WC6PZc1EYxPThHlRhyUX6YHRvRwbolMsPks9CwSnTvlpRuKadjJiAxXfld4yiO5UvBO32q1wjcrNXE4C5kZ4YPVk3fSWJrCw8yEYmcBsrt1M5U+bQt0NhpCFZfH4ttd0W6HTuXsy91l9rJUNeL3Xl7UarhSRw/Of6hurMBFPwbqZC9YfTYrnB07SHVlT37cFeqS2O2xyTmusI46lTtGJd1aErEHuvJIf+A6bTv0Flwe+jh3tkO+5K+QEqrdHjSS4gOxxSMYm0YUzcbA+NozlAMGPlPhjCKF75pU2CpTgjvKYkJplC+OP7k3rRrNQtoFtAs8NsWeP5c/120PDfRXM+JmcWIW5uasLuoFDXIVNaRvQ9OyVp4pT8CP7+RGKlKpamHT1+DaMGnUFPLfakX+fJO+gfSdvkez1RyfBj8eQtpvnjUKyMtZD/YpcQXKvC3uSsWjOv3nMfnRCKCxmCaYI9aJZBZYS/GyT6jKK1uncTuJeOKQwJkb6HiLaYTMr3w88QWCMrnDkciFhBjXECgtTl6bMmCV2ITH0zKwMxbXXQLyGxUfmJLdUoHF4vzF9r2wuXmVJREOPFsB6afF/UpaqjTokIKqH79/gVNvTJKzV1sy6BXXqpwV+HFxweSvhPDjQJNe1WqEEtq5IVpH6Uu6QfVn/X2LSPt8puQ/1eAymde0J4f10tlolSsG6pULI6YJL18XmL2k3ElTzZkryIiKsyidvPNGenvhlkGUo0WM6X9QDHSQEpqnjLUPcb6AbUeVcESiEdaVraXxPw55fJSq+4oTlFIxrN8RfTsbJdadsWl1gqpxadvQZLGFovXMupl7ofK6cV1YUEWC+ZI5naijmeElWa39OpQqZ6IMaGYN+Zf9tSPwceyJSlMWl6UwxYCTK7R5kigAcHCqMl9kK6ITjcxnHn5Bz1G14NFpLOu9vVw5Mkmqc4uNy192PdXR1SPpDNFsaZfqJYpC+73iFmmXaNYG8b6yxt1E9CcoaizZbT0ZBQvfCdKbp8pilsxiKSihw+PlnvVOtUsoFlAs0CkLcBkLvZC7X1JXhJGnHkr0pf+ScMy7esi+TklxSYkbfXv9K2mdlZf75S4kLTQu/zqCNq36440D1/gg4UprIKogEeHPfM3IYDoh/UF6UlsKWXPTCqIl+uL1H0+CryBSvXckY0W+TKODZokMaalOq7U0ezOnxIVPGgFqIJMe/zR3BSv8xZH6iP7pbOrfG+R7lI8dNiRGW9HCprkTSTWGkzMWzJLXTIKEqShlDO5poipti90pDw8gjqlTT1ei2yjJceREdLh+fwtGM33ilqWvHZl0SPPPIO5fqToUut95JERqtA6lQI5emytWgyBnoZpdQFBT0iQdS+6jl0Gl3PCkaxRhxwhcoj8VDwAQYmTSax+ajy2MYF9N8F6UTJ1HRx8vNbgPH+wiW9HGkYHqa6NPEQjQlyKCNWjyBDjUXF30rHKjdxzRP0W46VzHkkPiMEpgpk3CK9yfj4T+PYegrJpm+LcC29MPGtIa98820hJ5yk8VK1SCFYvnuIN0XPvJJpuRlgEDPP8+sLnkXh4U0sewVJiHjz7UrRn5Ermij75Qostd/UpCveTj7BSxcUx5N/hyJKLNncjwLvPAWi/P4/UomjKakTqsF2qPYtvYiFtWmSkTYSbpDkkw5n8vaDMzrjVluqeSLAYceNG2H9UnTSKtWFU3YwR9KM5Q0bwECKaglG88EOGGDpAXLhsaVxf6Eb+GLXpaRbQLBDVFrhPuU+OjlKviwuYw2x66JqSqB6S+wupXXK7ch2cGKAsHn9nzG135mD1DcEMpwbr59Skgn6ufTlAm+OuITIB1Y6YXMv0KaGNVMfEkYtXWXJg9xKVuBF1zmlnHo0rIhcF1mT4jpyJxDcuGwinTq2dHd2zixQ1GTuJBbyCzueUF8nfqFZqzaEbUpPxJxrhfFeRnreTgjZm5B+4EYPbd1ogFp1RAbbPA7B1mHAkb9RohNMUkWJwEToXo6vBdUIL3a+h0R5H/WHWILpPbGL+RJDADHL9jgidpfzJK1A6oSCTkMHRHk6j+0H/1aUSr9VCTkbC6apVcMNTtaJVLkKDwsp4S/KbY2qeYL0DZzCA6sM3SiU0o33C77QObpx1qL7+KWR7Fobl1D9jQrwP70mPSjiN98t44ET/cSjdpbE+FfSLpRVMKVrEONKhO4rOEsx6a4lVu32TlBhScAN6HCqhJ6vgcwlMk2BU0Z0RRsKqVcoPS/8XeJ3RCbuWC35sNTW3c9IS6Jd/GWZd6KpPIZ1d+ixWXBtpwDaYz64cuudRFYTpjNvPtxwCXl3DGiIZzE2ZfWvJ7A89/6V3xfA9C/ksgr4GotU+8Yy4LQsoMzLb5MONNyIivI98L7Uu16MkZrB/TRsUtykEmU6kbkY3jGJtGN03GYP9a85QDBr7d4Yyihf+Lv2apVdU0tGIaEeXqXIOfufGtGs0C2gW0CzwJxbghUdGkSa1sLAVzKcYMrz9SdcRXVuqa2OkPCGEXhnX6rXEWaK2/hOoCQTU/dhbZ0G+5GWx+fY/WExlm01VApPc7mznAdhQPgexnlGa2Wii2779Al8srRHn2xfE+/QJL4jtax+xfqnBbFkezashryroc3DCArBTU7qroJRmtBpcFgviehlcu2I90ECnR8S1UlbPn0g6MRt3ixqqvQ+WYm69QTClAvgPJE9npQtgBSdOio27ziL+K3/UrCjovu6Wr45jQwVXt3oBKg8oawHxovZhoEhB4gXypQBhexZO5VoORqEUldE5tyqXTdeJrEPUjKa3SMXQp6YaV99gSOa0hyXL4Z9SCTF+qKEN5Wv8iMk9h45zom49M9wtWRodck4jnSMXfPqm4i7XXcACsxlthPZTdMPm5lVYPX2IrxaWEuvbd1OzMIe0PXcC7u0pBMbPpEINHBsyBepokfqizQM8UW2UcNp30T+9ivS6tHOegjlUxyPDLU0jqdaHU0AjQo0KeXRU8NlJN0sQgTDaeueimqs3ktDu6KK7MOVcG5x+Luq7FrhdJRr2saRJpUSCCqeogk65Qzu2w47X1Dsvct898yxEHrsyEc5LnX7JaaoX/UW0NLdtKVRI20qi5c5OGwnqaKG+Q9bQKheaSCM6nrVRrA2j48ZiqU/NGYolw0d2WKN54VdQSgE7QTIuEq2Ks9AT0KBZQLOAZoEYt8B1igRlpVwswvxiiWA5UUf1FM0TKdmjGVIfVaqyL7XsRrUTymLwd4ZnXZ3ZF0P3YWfhgGxJi0hpQsMoI22w4oNJw+yatgg13nWSnIKDVDJTgkQhv1E9kQkx1zGeFHaFDwmiqnH11QlUal0HBVWyMt7TV+B5/qLIunIekl65gGf5i8GrVDbMoTm9Cn4uiZpWy9AZrlMnorSXoSAREzZs3egrDfGa2jYtWwDWIlNODzlCZRIcjLquIrWNU7IOTRBsdIz2+/Pi3Wcl/SyFZTpMKuEjFbD/e4k4viMApzN1yKViOdC17XSgAAlmPkcHKmOZqay3pQjIkVGha7TMKJpWq5zQtGGwMzmnalYMHqarmVXNYXOzGvC7vREDdTwVtz1Iy2mQoJIOSZIhX8b030wDHt2wP7ALJTxJMVcHKXrpOQ7JzxyFBUVjArK74L2DiGDkmjkW2ZeJPMA7FWvh+GDBgFGzbC7Ef2eonbNgpCfqDRsjObm+aUiEtKXhnXTONRMlLIsh0d0bCEpqh8A0juHeas2yOan/t5BFguWGMl01R5fmlDkn1SHJDsmycnex4dZkaXNARgmi8G4bBoX3+NNNccHfx2D8vvmWEdlGiZ+an4VjOUplb50ZnFbKyGPnjp555kvscgsu9cN78gllZ19qwKy7/Sml09X1p/1HRQOjWRtGxc0YQR+aM2QEDyGiKRjNC88scqwzJGMNaTrUEbtJGjQLaBbQLBDjFmAhaBaEJswrmQRW4xSGt+icS4nerWB/WGGDO9tlIK41aP1HQwZ//YCZF7tKtL52Fmlw990lycHhOpN0CZ1x7qU3GlFUaJmO1FMebKr3IXQ/LBZ3IVN3+NiD0hXhO9pQ+PKS/2FUat8IRR8qU/b6dz38c+X/6T3knD0eOUjcVQ11mhMfr+aeA5bvDYkXmP3uaaGSxCPwA7UpJcv0oxA52r7aG+8cRXRvxvnOOPZMEDIw+L5HFtlOaX1+GHDUI8K5FU9VC+1y6mjsVC17HS4tkSL0JHrlicojC9NJ5Mssnz5CtepF9T1wPcuCpqXRc6hg9FtSyQmeznfhbxKML1QPlZJqoJ7oaLc5inR4nEjX2s8L5suiHkqNmGKXyzdxEDKvVxw4TnXza94FLjNFVOe7iQm2kpDvx5T2yDN1OLKuXiAd3zdzFV7kFeQBFeu76Uk45HuYML4XGg+bKDEKXkhO0RIVP0IcxMXyHLtRp1FVxAsOki7hWrS7HrXCfHa16D0woxQ9/xwu8JqvMClySijXkDEWuV+XnKFrr0/ANG58LC57AzvuzsXK6zrBK2pTOk1DtMw+OtQYYQnv9s+/inSsxP1FhBZ7nUJF9tTMjjMudEaFFVvRnxzhTybAwDYumDxT1FXFFIxmbRhTNxzN42jOUDQb+E+7N6oXfidtrXnofpQm0g5Yz4h36/703rXrNQtoFtAsEK4FLpB3kFvs4v9b2g4JRp+KEWMVJ7HQNAcVWubjVGNxp0q9KB178LGquP2WGMsoFYzTdr7++Iws761xbZKilLqkoDVejNqs13XZRZnL5YU8jx63KtbAycGixkMGF7tX6twCJVX1Ryza+jrrzyP9WVf8izz/GC48X+TMh31zlYKcapULSOKvMj7aJidRTYWT2LV7U6Q65iOdZgrwbetFGtL+hyvJgfDUXyezhKlZ4cIzMpMWtHEOXbc16Ghl3Hl3EYNoOJnim/vwp8iI14LQVOaJSATUg8RAZTBZwtIuDdF2mIg6dacMqKmFVbMgSZsgkhwyp9oopqX2ni2IE/iZsYjs08DbePP5Je4QzTejB0UW8lKEIbpReEhXpNtjeH9yWqM89uHRs/CwtAfyj+uPTJsEmcSWjYfxIZWD9HfIdFA+VrBXcixfSJFCIhG4YwNk6KbcSYZELljxvC4KjlWcwJDRP/V913HNKjlNL8gJ30fOuIwFfp7Y/2il9HFKicP453xH6RlaxkuIeW6XQjEPyhTcIW266MpAEkw1TOcfXHA91Zr93Olv502RMxJaVYPJPMo4NBR20mkfWVIE9CvVieVzqIQjrbdF92M16N+o1oYxeufRM5jmDEWPXRQMynQAACAASURBVKOsV6N64S9RFWpOlRbDeOJQ7R2+jkCUGUHrSLOAZgHNAiEtcIbof/MJMcg57qmQcETktX7+xJhFB3RAWm+FlOAwpVs9pLSrqMTIE3UNRCG5b4cETji8LS0cfHbjI0UlPJqZoUztDRh0rLI09FZaP1YWGT16XKhaA5c9DZ2hU892oVL3dgYF4NuJzesdRUF+hgzELVxwjGHE4wlFfHwo8iNDFoeVP7+lyM8OigDJsCdHsgQ5lDKYlvtzIhvwvKaeV1K7ZIa4iDSA5D5K2zdAyxyhCShGn6xPTHxHMZrIxzxFJp8e+6ctx7OCgnpbBlNml2tZVf+ZIygrBvRA4+HC0epEWpwzC4rTLNLJzurSbsuR8NUbvS4Paw+ZBr7HJ6qTYvg8WoN5fn2kvzmNrFDKSoYTiYZPIVM5wxpiddfm+Er1XUVG9Eb6ncKZ3bjjNIKTUiEUIQmlS5ZvIXSaZKTpZ4mtiz/ChQgJPtrYwHPxaKy9MUESO27qNBwNV/ogGznMMtRMcSHnoNc2ylMI3rMo00QH7m/LHVH/NbzwVsy91EtKVWPtoBmlToKjqG2orujbD5EKyvTlFdOFjsyeJad/UgiGu8jWbLEo65VXht8nTOudylpEMQ8+Wke6WEJXilHSviZ8WioOXch7jY7PRrU2jI4bjOE+NWcohg3+q8MZ1Qv/jnICbOmL8rMqIfwI5R8U+XnY+VfvW2uvWUCzgGaBiCzw4/hxxCkstunnlHdAwqGKyGh0Wq7I4M5w9FLSuXYu24U3mYhaKwqx6PIA7HtI1G0qNHUaBhaB3HSoE3a92Y4PxOLbKvtY0l0Rzsl6Wk/WvGo4iRN16+F293EGB48+2YLKvbugnCqKtIVqfj5Q7c/PkGb/Tr3mjNw2ZP2NrHcknw+ZBsXHCw3voV+Ay+KdV18dx8iTdfVTKJaqBtrnnCIJZMriqnyS07F+gBgaVGAKZ6ZyDonJZ1sTXbYXZm2nmiRFGkpq9tXcAuu8L+MHOTwykp8+gjKdGhh0s71nd1SaJBzKNuTHzCP/O14cMyllixZQqEiRJBuKKHEEzHvmGri3ri4x+clRkSNPNmMWpUAy2jlPRnHSG4pu8BxkOuzwxmLH7luryeg3y1vv3K/19sNXK5EOb+7/HDUqFTC43GwgpdKR38u1aV+JRnrtQUPvO2TUVGpzgMgvwqCbrlc0PeJ++0baRUWxf4aIBDHUaXCcVrjwygC8DHqI5JaOmFxCRBH9Anxx+PEGYqtLhUrp21HUSJXCr+vn7aeX6HBAbJbIYNHWdIl+HgF9+fEhuh0qZnDtzFKnpLRVBkcrex0upWfQa5dzLGZX7xvdj9Wgf6NaG8bonUfPYJozFD12jbJeje6FX04/0I1V2gH/UCEj6xBp0CygWUCzQAxawG/jv8hRU0QS5nikR8JBKqn5aJxH3klDkGXdYmmEz7RwXL+XiBuiWFuEBVlZq+b9Z5GqY2fpIAlAxo0TF173l2DJVcFeV8q+Pg48IiVIwioiPKtnyISNJdMmw7Sg4eKbd7Ure/ZCJSGlI0EdEYjIdMlP+aJMZ5EqJCMktXj5JhWQ5IbC7BcycsTXpd++FoVGiqwCJnxYQzpFD95fI3pthYnL3aEJmmUbIbVp5pVZEr5kpLLKgCdUB6QGR2maOA0NNfV/Kargd3MdrtPPVDJRxmIAdVoYn0h9aC9K9mll0OZoy7YoskBEO5pT0GgxkcElNEsKpnlmuLWrDbvzIg3wcpMOBvTkG7efxKGvZzDtvCiu6eIwEDX8HSXyArlWKvSs/vyI7JB+tk4Is0DaxAwDnkSqdqpBIyxZ+MRAL+oHPQ/Gu+CXaFyetICCv0qf/S1oL5TW+9spo85D9+6s8r2NH/EoTKlDGWKlS07sdGps2nocQSQEbACV0GvI9+Pgo7UUdRHvRsec0+ldH0Lscq8pMpoNY4hdLrJgJ7qZVyYDyu8xRfdQP4J05Wdovc8ZH78qtuP6JTMTc/1l7DBxbV8SEtLNYZsHNfL8fDPhZ2P+ynmjWxv+yuSNsK3mDBnhQ1FPKTZe+C9Ey7rn9h5UzFRR+vENhZDpcvTFpkGzgGYBzQIxaYEVM9qiYWdRsD6jSkYk6a+kYkXnPKweP4DLP6Mkpq2rDdvgSdGIqXqjei7qdDIWImVyBckGlLnXUVU2tSQXESiM24IMNgo7Gi8QV1wbgbZjF6KaSpZJHRGIaL6Jr11ChWaGaV7X6rbA2e6kRadD2ZbV9Bo1fOh+GaqnGGVIuhDvQyBp2yh6O0eoJud8ycLo5KNEIqqk74i6mUV62bKrw7D7/kIpIlMvSz8sv2Yo/F0hbUs0cgpNb87Mea/nNsOMzYLm+p57FUoHzIiccwXrwfXazXCm5zD93NNSnU1RqrdR42rNRnDaIKJ0DWsAKylTXGa642MFRvVBxm1Kmpf6WiaIOGh5XxIkjU9ZXQ/n2sD2pWBoiyxpxe+8P9U98sEi4KWUuhePNIKsiRgiJEZRhuCm+mWxfWEgUpw+KpEqrD5yR9+MCQjSeW1DF51vM4WCsGuJr0TtdK/zuogvCRPprynXvDKSXjVkddw3czWRMqgLrSi6RxGh+hQZYjwuWhoHJ5GIlg6nn3sRnbZIe6uTqQ/VXlE6PkFmc/sVe3TxKYyA4Cf6S1i01dZCCDX/DL0OlcLTj8Ie/N4tKafaPQhxsYVZXFR3iVy/Pxs3sudjY20Y2bn9je00Z8jIn1psvPBLLyxF081N4ZTMCbM8ZqFE2hJ49+kdEsVPJKUFgOhRYUHbRDIe0Rdt6tRGbsmYnR4L/v1z8h+cfHwS5TKUQ+Nc4Stxx+zMtNE0C/w3LLBwUiO06CUKv3c3b4BXbUPXjPw37tTwLjhFaMwpEZ1hUVa5OH8AZRCNVAXHBpWiBr3XEpWzKHLh76RRp+qB09HW0dq9liqlbhVFZuSIQEQ2Y0ewak3DOhu/5p1xsa1SP1GqSyOkPKmkLN6o2Rine4dOYcsxfypyzhfpZ0zpfGTgOHQ9WESiwmZwVKCktauk6fSZFtxXnTPBzNSSWL6C0NlHV7ijm6xHurZokIVojcOA06LpcPlXMM0xq11cSvOWoz9v0mfGzpUKzVzOfycixyJDzRoWtnUgqmpGHSJGW0cOQfqEOTGiiCiYT7N/B6UOdghz7N0Lt+L9pR1wWk5RTJ0ekdzwQpueuNyiS7S8onVKkhP0KRhMbsG1S2rCD3nA6eR3dvcwwbN1uWDrd5b0qaywbr8S0evj64bHgcIBsDJNJGk8vf70DJPWv4LHYRGZ27z5KD6mUH77w2KgC3DKSayGHrhXrqo+QqTWMQpJsnDt1UmMOFlb6p/ptWUig/Ac3ogMqKbl5n8rwwttEWuYSGDEiToSix1DHQkM61LNGYqEQY28ieYMGfkDimlniH8wc8zOgSsvxZeiRTwL2FnZ4f7b+yiQugB8mvrAwpQcIScnUhsUQnjgQuY8eYzckjE7vYP3DsJ1iat+0KsdryJrssiF52N2ptpomgX+TgvMGV0T7QZslCa/v21bPGse9mL477y78Gd9m5jJBh8The1cMyHvfA+6kRHDV97SX9ieOB1s2i+HczLhvLwMeoRuBwVtdMiUupXHVdRyERjMlHRhapM+jBrnOnriamOF+CD7wunINVehufYdORMP3EKTBqg1h+RUKV58s8CmLdGLF0zhgQqta+mjTLLTFRahgjqKFHL6LtNHwon0kxg7lu+R0tPqF8sgff5A6VtbKI1LRilKAUxJqYBqvHTOo6+/qUYlTVvopy9H0mLwzC8c8eQnKXWQGOfCgjfVwhT2bENU4woLoNzuep3mONNjaATW/s1T37+jQRGhIcR2Pd+hL/JOGSYJnAYG+yP1MxGZWkgBQwri4fI8C2R7HARZGFcetbNPIdKYEsq8y8vd0zsRairu7av2UqQts36iVYiWPKwoFDd4riJKMAn6iLqlyJCEB67l4TtWIV14Qgx8vX1Lh7r5llQfVzpN/V8yChMv7CQq7u+0rqmSvgMRIIjnHhmo6/Yy2eTF0ELiuyYsaM5QZCxq3G00Z8i4nw9i2hlicxx7eAxFFoZNirC8+nI0zElf/EytLTPJ7SGa2bJljdySMTu9GSdnoPOuzvpBGzo3xPIahgXRMTsjbTTNAv8tC/wzpAI6DyfFd4JPp2540ujPhE//Fus8/XBHKt5mcPoO024z/v3aEW3I8ZBRizbXHRsvpPQikcan3nFfRuRhjYgcVEZknSF1epN87Z75mxCQQ9kMs3z2GBUbl4fZ+3dEnZ0Wu5buwleKOoQFWdjzVebs2L1UpYpKjU2p1qW2m2Gx+7a1B/Da3h5NqRZEjVoZe6B6RsP0Nvl8wZG9kGE7FVQR5PoVtzY1YXfxtESisNZHt6lH50My4fE1QcSuxilnDA/iVthJa3921LrkFqKttlQj4061MmHBd8QMFBskamoDqRQnjqkZrD6K53WvbFUcHT49zOv+5KDa0VBrH3GfG88MxPqOgm56LXF+1KVpX6VAWNYAcgwpwrOFIj0y5JoZpsweXlih6XYmR9eZHF7GHtIHCiCdICZbIG8JFRpVgMVrf/ygv+OESJ/n+qX1+8RLF4/0heqQzhAjJAEHp3L29XWnujDFsY8bxwTzylyCebyw36M/sVd41zIBw8578yW9ISboYAHW8KA5Q9HxBGK2T80Zill7//JoseEM8STLLS8Hr9teYc53b+O9cDtM8uXNmonzTKrQMOydsV++4f/IBf329cO4I4YsTpwut7PhzrDrsP4j9/2338a+O/sw+vBoWJlZYYL7BC2aZ8QPdJJnSfQce0ia4eHunnhYV4lOGPG0/3hqbz69QMcDobVSBmWZiQFtB0i1TO/NSAOGMrDqF5slLdwZvk82YvZF4TAeOFYYrnsEdXCwTRJs3B15wVpZLJOvVesEqW/MhPRjrJ4+xPs06SJMv1Mzz4Usxg+L2vkkpdvdrNEITbwy0G4/ifvo0DzbKFqwNgrTtsX7tEaaQ+K3bA05Pt/IASrRqyXsfYlvm7D64HV8j0+F8RRRqUvpZSZEja12gNSdulO28z4KLqjJHZJdOoOyramYKAyc69APLrPGSmc4EjOxaX5c7nFachSYOII1ltRpZn/8clAH8SkCVLOCcE7vlquGYzqNJP685JIndrVeSXx8dB/p48C9yQ/8GCpGfZs2A3as2S/9zRkijfekl1j71FEwPue0fA5cZoiUVO/pK5Bu90Y9M6A8/4+2KUhrivi3VficgJyhvcIZMnv7BrXKUVEb4V7ZKuQUGqYm3n17CRtuTZFotBOYJZHqwZISUYGxQnOGjPXJRH5emjMUeVvFSsvYcoaqra6GLde3hHnPjjaOuJPhH8SpLPQtMHUq0DXsXblYMZoRDNpwY0OsvKTQhcpT2lpvKypn0dnNCOapTcHQAjlm5cDll4KSq3nu5lhYdaFmIiO1wNgeBdBvimAMONpnOO7VaGqkM43aaX3+Fozme7OE6rR//lXIZe6MR76zMOLjLLyhbOYOOaeiaKrqUtsxpxoRJbGo5ZliNw4N5qyTHCdOP7tPi+bIIjeJrrKWzDez+Dg8ZvYfEUiU6VAXyc+KNDWOojxwV74bHXdtRJFhhtE+OSWv1b4cCPr6Xj/lrrlno0CKiqFuQR3J4vmuIceHIxiFhvekBbzQhWHGt+BkyWFH83Cj+TA4dYv1nEKiZDPgkCNQI2N31MwoFEfDIpWQr7tZvREJmoqMgAmUbNGHEiiCpiSWqLcZHEHZRxo7L0mwNapg9eQhqtYQtNC3qtbHSU/hjDFYs2dV93VISVl7j1MnQ++C/lipy/6So3PvP78mwd9zmHCmuXRNvuTl0N1FEJUwMm5cjgLjB0h/cwpksYEdQ03dP1tuJLty3uC4OgoX/5U/albMK52/W6EGjg0x1MKKKlvEVD+aMxRTlo6+cTRnKPpsGyU9x5YzVH9Dfaz2W62/B7f0buBdcxm3C6xE+oo6PYaBJD4wQlCgahAWKLWkFHzu+Uh/Z7fNrl9gt87TGnMrKz8smr2i3wLPA59j3ZV1tMsYLJFZOCcPX2ci6fikeBUk6IzLZiiLPY0oBVSDUVpgRKecGDRT7DQf6z8ed6soGjVGOeEomhTv2nOamCw6KXcrC0oef7od/1wQC9TWOcaheKpaWH1jLKX8iLoZkzimmEO00JamCX97Rma0mP9OKV/hpb9FtuPcFGHIRpEGxuWmHXGhvWCPY4RFZnCJCAcuEfFAR9KPeUNpTDIGFlCIItRjq6M2303iEVuaKPxX173sWOGFt8S6pmaFu1q/FewP70WCR4a1VHbEE/HSmpIiiPKbo0OMRLeuwaORQgmuHl/tFPR1A8aTj3JvZ2GkPakIel4hRsLznYVz8bvgtLOMm1dJ0RhzcjQcvcRG5rV6LXG2m8KyN/NCF0wZtgUFiGAt2MIch1MGw11HIHeqeVucaNoiFDkFvz/tcio1YI67N6HIUOEInqV55yFmxZB4TAyLKY/7SDpCMtRsdWoNo9setXFiEKXd/8XQnKG/+OHppq45Q0b+DGPLGWq5pSUWnld2xaeVnyaJ33XfI3bq9hecjVIVhHaCpDPEekMa9BbINScXLj6/KJFPPOr+CGYjKW+FUCFjBSlVTkPMWcBtqRu87wr6YUtio7rY7iIyJAm7kDb+yPj4/E3k9DNhyIlWhpoZMTdrbaSfWWBIm0wYNk/UFRwbPBl3K0a/mOXP5hRT5+f59YHPI4XO2SGBE0YU3oZ4cU2JgEChJuZFu1lcc71uC88vVzJX9Mm3JKamGuE45gEvUMNDpPwx7fXREcrvSNEBHUkMlNRSVZAX9z0OlcDzj4qjMr7YPqS2Nqwj4svsiQWuhKdIn1SnY2VbPAO550yQjnv/swLP8xeDejwmBkh05yaKD1BY4q4mA7LpJPW4XkhOP0x47xYq1fs5vXorCnotoGCIa/zCaHr0HZptExHokDUzv/NgnOdNgfMCytAIgV013DDJIwUSmyeXBHv5vek3bTdq6Mqk7hMrdtq3wBfKm2u9ajjW3ZxooK3D3fF1TbMpVOZqLSauCQvpMEr35FYZKU4eosgjda7CKqLuZpHbBA/uoHIdUffG0bNTfUM7VL9jh9i6RnOGYsvyUTeu5gxFnS2jpafYcoY67eyEmaeUYtz5ledLC8kGG0U0aEXRyWjg3kPcM4uwLiVZag16C6SZkgaP3j2Sak6YSS7BmAQI/ByIQvaFcKylsiuomSz6LZBsfDIEBFGFsA5jyoxBv2L9Qg386esnmI9SRPUyJ82M651UYizRP1VthF+wwIBmDhi15KF0xdGhU3GvvEgH+39BADF9ffv+hWoQTSThR1kT7sJLH4w/I1IGG2UdJDkNex8o388hxSNj1V4U5arjmlWigf5KdTtM7cyLZUZYmjW3KtfFyQHj8e/JdvD134XvtIhPaJYM00g/Ri2IKd+TOqXr8OjZeFhapNKpU/COD5yAO5XqwLVbE6Q6TvzkBHnRnmXNQqLO3olPZvHQwvkc9jkEwzRufEwpcVhyMBhh0Y2HZdO0FEx5YKM7Q9J8gaPpWtIe4uiR18KwU9LDezbskDgQpfdXCytcr9OMHKFpSLtPUH2rMYBI2UaXEEeqZeiMe+/80GzpAXQNscfjZwu0G1kNR54qRAlyP9Wp+KxWpp76bpOQjlB50hOKCLcr1ZacJFmMVm67xuc61WyZGzDwnW/XG1ea/d3C7ZozFKvfIlEyuOYMRYkZo6+T2HKGenv1xsRjSuh6Vc1VUpSjzFKxAza+2HD0dtOF37l2aOvW6DPCX9iz1WgrfPzyEUXSFMGRFkeQdmpaPHj7ANoCO+YfpvlIc2IEEur1jC4FumBahWmhJuL/0R+2E2hVoENyq+R41suwCDjmZ6+NGJYFOFWsZbW4IBkXCSHrTf6frXYl4JikJ8Rg0cqH76/h2DNhqOmux42uEF1mduP5sSbNHn6oVEtTpRrRND97JFE+My00gwVcv5LGHbPDvUmSEGOHtEAKZ2KGs3QI9ci5XqjA2H7IsG2tdG4v1Ui9zC1EXW3Pn4R7O6FlI1M7u7euLlFof7GwxLoDKhEmXc9vP/njFtXSsMaQ7AjxKYsXT1G9SiH9+OzUxSEyBiZikOGfyQnOrYPx7ONd/TE/2mvMTpl+QUlssWnn6Ui/skxvXqNSfph8Ft9pTymq9Y3GlAkh1B11o+y9aTq908IpSHD2SwAqbD2CCYq0ktT8YFoi2+iUAU8/iDRCBjMVJrNIjV55FyKllRBIlUD/9nLPHKtPbwxr4pebdMDtKvXI9muQfYmyqbqO2OS+WCVARUortLktNpr+CxsZmjMU6dfXaBtqzpDRPhoxsdhyhoYcGILhh5TQOBf+p0ucDs6zRb1F90LdMbkqUYt+oi/k4qRjcUiwOv2/YdmFZRiwfwAV8wahfo764HRCTrOSIwyVMlfCtvrbKCUjNy48vwBbS1u86P3i/81MsXa/375/Q7wR8QzGr5u9LlbXUurh5JN3Xt9BhulK+lx8k/gIHkgCw38RuC5q87XN+PD5A6plrYaklkn/otlHfqpDfYbiyaRhmKvLolLv+ke+l/9my5uvz2DoCcFuxvo7d95elIgTiOwYS8vdliJJxoTMaxch3+Sh+ilxpMR39Cwp9SwesdKp6278s7vodYf4ArmGKOT9cJ85SWjVjGppZGwjprT3xJjGYPrvatUU+QhmlCvfrBJs7t7ER9vk2LztZKRNpCYD4IuCEyXGF2JOU6eP3SLH4LjnGLBG0uHH67Hi+kjSPAIq6tijmy0hLSAH+vdqkeqn49rcvELU5RX07ThV7W3y5LA/E3rObUjeaV4+0TSPnTtlJ7yGy+HTWE3U6mpsJAm8msJ/lqAmiAhzQiotI/n8o2JuMCNCjmCiIuc6pY/Jxb0UpvqidFRnxNiw8wzsiIpcnX64d856clJDsyP+1BBG1EBzhozoYfzmVDRn6DcNF1OXxZYzNNZ3LDy9PfW36d3EG852zrCbaCcdq5ipInZ0p92sF7SwT0+7RreVHaWYso0xjOMwxQEP34lUHUZK65Rg6nEWrmU0ydUES6otQeklpXHg3gEqXjbBl0FfIq2CbQz3+DfP4d2nd0g0lhLjQ2BXw11IZpkMeVPm1T+LC88uIPe/xH+rQtCAINK2UFLnjN0WA7wHYLQv5d8QymcsD75PY8DlF5ex4apYgTXL3QwOicRO/qpLqzDtxDQpBXd+lflIn1i1Ax3BxF0Xu8KJaIln7xCNDo6fh8clNK0ztoV/0GN0PSgW+iks0yG+iQXuv78Ca1Mb/FvmgjG8DgZziPP1K0VpSFzVT6H3Zn2cNAcFecmj4u5S/Uk82ngLSpxM0rGRcZdSI49RiqQaCe/eQKX67gbHmNZ5Ezk4TKstgaIbVasWhhVFdRj7py1HwVG9pc9vSZR1x2pRYxgZhBSiZVpprl+TIyLf48bFwcmL8ZQEUBksKjvlXBvMIke+vS4glJmyxL5lyEV1Xz/PsEh++gjKdNKRF1F/TAP+wtYGaa/dDDXdquTgbNVpfWdPWhSXA46gKJVa+S4ybDqPmLjbCB1fCY2zDkV5R8EmFx5sblxGxSYKg5/X3A3wz6nzvFQXqYkpWOcp36Qh+mcbmCoNWDvqB9GM/83QnKG/+emJuWvOkJE/w9hyhqafmI6uuxW67OMtj0sF5fZT7PHkPVHREIKXOSL+7XvCgvOIqahlSym94f8Fr4NeI8n4JKFuN5ttNlx5eUU63r9Yf4wqMwo119bExquCw5SFa7PbZUfuFIYL7/8Xu4V5nxxhbNMGOHMGcKCF8kxKrUgnVNT/BPyupp6cOtwuRpYaiQElBki6Gqkmp8KzQMO0uGc9nyG5tagN+BtQZEERHHskatJMqZg+sH8g1VII8o7YQtCXIOl7Q2bpY0a/3Y12S4QsicclBjusMp73ei6l4/4MKSamQO39z/GPztfzmbTwjyiefzbe33Z+3OkmuOgv6l9ksGM0qYSPUd5KvI8fUKZjPSSlehSGWrST64RSH9kPi1cKe5z6JuT6HvlYvomDkHm9qJFiJ4gL9B9QrdDrrIYskqmO7odrD7Hgv9i6B5xWzIXpx0Bw9MlrQejamfAMpxY55Tay9lKC+7dh+iEQH+1SSNTdMuQ0xr7Ecj5W53OtpL2zJrVNsaTszZ9ulKXx3mEQWfliaY3ndolgf4+0/whbSRs0Df2TOk2BmY7kq3zRBcbZKf70LQjpiSzzdgit184UaJqhYvdun3MKiqUKWztJbYf029eSo+oLfxJevVG7WZi///mIhjsz0XFLc1t/CMWJ0CIxRbfYSVxNhAr/hTWD5gwZ5dfKL01Kc4Z+yVwx3zi2nKH5Z+ej9bbW+hv2a+8nLeA9Vnpg503BhnZ5vxOyHVJyqz8vWgCzZi1i3kixNOKRB0dQbJHQcwgPl9pfQg67HGi9tTXmn5tv0GxLvS2okkW1HRcT9/GOfiW9SIDwJS0sClMyeW4jccg2kqNYU8UG1rs3FaaN/2OL3Ay4icwzwlcOd3V0xYGmB3D71W1k/CdjqPGudbwmMc8df3RciiQxIYaxglPjrMcQ768KZ9uchUtKl1id8tWXV5FtFsnd65AmYRo86P4AT98/lRxQNZiopWUe2lQJB5zK2HlXZ+k7qBv5fFN0zOcHpi7V77zH6s0ayeDnXx4gnZhmBrPJbVsKvfMuNpIZhj2N4n3b6KMGcgt2VByIVc7mzo0wL1JHBe3OHIMbOVUMFpPdvOWYEFQNA2p6Z3aWHIgogfG0YAkcmLYs0naK8/ULidsq3x1viKZ7J9F1hwcmMRhw1AMFKaHg+ALR6hvtIaYijoIx1a5SJNoywrEzbliGAhNIzkIHdipe2NkgxbNXuEMEDRkE63W4sKJ9p0ChmapHGiKJfaQKoPfOuwi5bYl9IQqgpjHfvmofynSoJ0X3XmfIil0rjGSPKgAAIABJREFU/hvSBZozFAUvSix3oTlDsfwAfjZ8bDlDzITG9NC8m+uSwgWnWp+CSVwTnHp8CgXmiyLULo51UW3aHpQ690b6fCeVBdI+eAcT0nP4fwCLqrK4KoMXcVw79PzDc/2tc83JxwEfJZanPnv7YMJRQeUqQ6q7Kjc55kwVTPUvGShn/omI7EnoRcIZEwznFXMTUo00YwbQubNyoFkzYFGIXI7fmNi5p+eQZ65QY+9dpDe4hospz/vu6ysRXORLlU96t7nOpvqa0GxkTK09xGcIdt8SAowra6xEfef60t9vg9+i0aZG4MU+p3ctrrYYqRKkkqJM/KxPPj4ppdhxemm3Qt0QP17837iDyF8y5dgU9PDSMTzqLguPOS/yvf55y4P3DsJ1iau+o8TmifGq7yvJwSy8QFfdrTs7wX0CehWhdzIcNNjQAKv8Vkln+/gC43TSZ94zVuJ5vqJ/Ptn/UA/Hnm6VaLa//fgKK9IU8nBsg1TWoR1+Y7plplzOO2WYpJXDCEztgNM9h6HowM5Ifk6Is4aEWqenZI9mSH30gNTkcuP2uNAxNGuk/nr6d1qzXC6J/plTzSwCROTpXtmqODo8ROgkIiNRPw0KO+pbSCQQi0Izu8kNXnx8gO6HqM6W8GOo0nFeCow3b3CCmAFTRPhIsi+cjlxzFd0fbvzO2hwJA4PBrHDNhpXFmRfhO2PcPniMGeJ/EgQP30xNkWiQOT58F/VVJnHiSWx5kalfinCiupNqLandZJdyLaogDtnsaYHiODBdRIz+dmjO0N/+BLU0OaN/grHlDLFhOL2FnSLeGZdpW7lA22KULu9aZ70LxKOQU8cJsKl3ZVQf//O8Z6M3fFgT/EI8qAcp9YS+yOHqinEnJqOft/ixZXHO/t79ceYppXnp4JTMCVc6inS5kDVYfIxrJxZV/fMFf6RteY5y8vMIx8AAFyk1xTl8IdJI9/8nDUeRzgSL98qoSwKaq0OTHPzqEL4PfFF8kVh4DHMdhsElBQOiXOslU59bj7am4uYP0rmiaYriyMMj0t87GuyQoqEyOJK0u+FuKfVsxskZ6LK7i/7ckJJDMNR1KPbe3ouyyw3rV5ZVX4ZGORv96vR/qX1Y0cfqWatjY12dxPwv9RZ1jddeXou66xVB1Hhx4+HzwM/g4/U2qKq2achBJQZheCmFuCXkLGQiEj4+70xqtNomUoO85m2Ev7NQtNfw37NAsf7t9ZGbsO7Or3lnXGzbC5VrFkeCxw+kJuu8LuJLwtD1gurryzepgCQ3xHe0jGt1W+Bs9yG/ZMS6FBkyoQgR40Wu/Nj37/pwr2cShTbeOaXzPY4Ck3R+Szn6eijd1AtpEmSRUkg/ffso0XizdpQaLtNHwmmlENANiVMUaD28zAdXXx3HA2IR5GtlsV11W//ZyZD0uXA4mYBh+oKZOO9/AHFhgmxJCyOTTRi/E79kEaWxMzluzuTAMQ6Nm4sSFP1j3K1QA8eGTPnNXo3rMs0ZMq7n8Tuz0SJDv2O1GLwmNp2h8G4zpG6LOzHieOk2eA5Tuce3gwfAi8b/HLpR/sE0HSUzRTHiJFUEAq90uCIRTmy5ruhFNHBugBU1Vkhm+Pf0v2i3Q4j/yeAUOU6VizH4+AClhNCdATyJKGO0KLqPNXBa3ESVCnkVSh/c8ue22XNrD8qvKC/d1qSyk9CjsIicZJuZDVf9r8I+oT3ud7svOfiy2Opw1+EY7COcpunlpxs4PLJ9uK6Fa8N87pFNdZCfNzvFY3wN81AGlxiMYaWGRYt5D90/hNNPToNTW/me1CiboazkqMcm2Bllp1SN4AHBWHhuITrsVEQt+Xx4tOfytUx9zhTomZJkwo3HVNMwbpx0ateSHXidRZCWaPjvWUBdd8J3983UDK+oBsj2krL5pL7r53kKwXuWIkobnkVKdW2MlCcMmVAvkFN1mZyrX4GklUTMd4zIRDwmnWmJsy/3oeVFM8zfKCI0jSgwbdt0jqT1c8nfF8HfAmFuYo3OuUkgllIcZeQf64lMm1eGOT2myL6x/CJFAhUncODRSrj77pJB+xvbciPTmfPSMWaBOzRRl6/3KzcdybbqSJa6Fuxiq+7wa/WTnL5IjhHbzTRnKLafwJ+PrzlDf27DaO3BGJ2hCisq6NOG+OYTxk+IC1M/wfH5JzyzArotDpu6OFoNFdWdc/TnBCnTPaTEbv67BCnXlSQ2oBsib/1r5kwwbaCw97z3fI/xR8ZjxKER+plsrLMR1Z1E6tW6y+tQZ30dg1kWdyiOQ81jkJJ8MxUFV9elgnE9DkdiPuu0MNaSFkdtobsRK2DyBCbhkOHmRsIgIcQwfmNia/zW6KMP8yrPQ6s8raReCswrgFNPTsHG3AZcD8cF/ow8KfOgX9F++mfFrIlyjdzPhueIkm8LXzDT2cH7hsXrnQt0xvQKv5B687PBdOfVaYDyJVyT8+LDC0lbKcbfsTDmrY66yafZAV1yfone6ZSPN83VVEo3DAtqUVyJKe9UFv3mxHZi/3pHLGAa/psWyErkBnn+oeixDhwJuuNRGxWIzYxJD0LiRs3GON175E+NoaZ9lhuf6DcWt6uJVNjIQu0MRca54FTagOAnyHr6Isr2Fptkak0g9bjsCA1ynCClDn62ToDcs8fD0SvsjaLdGeMgYNldAxKG4Sdq4/prQ9rtBanmotQGqpGieqPLTTtG678dp+Vz4DIjRJES3eCO5XvwNqPx1mBG9tlzO80Z+hVrGWdbzRkyzuein5UxOkNcbM61Micen5AcoYnuE9F8wDrE2yMWrxnHpETjQm2ltKOWLi2RJRktWmIQXMvBaX0J4if4/VE5SsHRChkpU9KWn6BhZXwzp/SFvlSJSoWvsnbQm+A3mHxsskS1nTt5bnQp2EX/o7T/7n69YK3cR3bb7PDr4Pf7c/zVKxcvpqR0HV3qCopYradUjk1C/wGUNy7RpNvIEum/2nno9pzqMXD/QCla9vX7V6kBU4s3ztkYnsUV2nbpBKfFsUMmoyjVf/gaRhN+Z0acysYF94zNdTejataq0t8sHszPhFO2mEBBTqUbWHwgSqQtESrNja/h1Lgy6cpg162w6apTJ0iNu13vSlTerDuVwjqFnp2O73lpdcFwFZWYe2Yu2m5va9Blh3wdsNJvJfh9lGuionLMX+0rpOhtRNdHlNZ3/819OE5zlC5vkbsFFuyk2sS5c6XPWzb64gPR9Gr4b1rA9P1bqmGdIGn3cFrXuc4D6TuYiBHIqchJaVjpSdyThVkDUzngvUM6qc7oA/39M6iL++W2PpMX4UmRXyMPqFMys0T9zbhfxgNHRlHueCSQ5MoFlKcaGsZY+srzNGQEl44TpwI2rIuLuKTt8zNsco6PoHmGRBNhMQvOcD1pIBz7s37/5HyWNQulOjA1ZMa9P+nXmK7VnCFjehq/NxfNGfo9u8XYVcboDMk3zzu1vJhkYgV07AjMEj8AxWm97UvhekbaRGlxrdO1GNNqYSeNiQ3YGeKF7W+nJhUjlrgjom4kPNhRnfdLIu9SF9WH15ZtlX9eflx6oaQrsCbRk54qMoPofqs4xY9T/Rg7SKDF0ZEk0LMro24n4QsPpT7mT6bDKWdMwHHN/1qY3fg09UFJR6G7IaE8pbLtUaVzcW0T02z/IQYfGKyP1h1tcRSF04iC/aqrq2LrdVHbxpEUWSuKa7gqZKyAFJNCFzEvqLIALVxaSCQis07PAtfPWZlaSeQLAUEBkqjlubbn9FpFHOVYcmGJNEblzJWxtX7U19KNOTwG/ff3l8Zg8gGOBOVPnR9ppqSRKPBj3OEO8bzU0ZzIPsqvg76K7xQdHrx9IFHVMyFJ6aVikdqnSB+MW0406EuFg7lxx2lJ7FHD/6kFOHrP+EVph2xLZyH3LJFqKWOV761f1r1hUoCk5NgwLjfpgAsd+kbqQZi9fYNaROLAuEkqDZl1JYglU9fG608vJHr0lbRnVT+Se2ZzSiZGwnEi/U3GAj9P7H+kpNU5JHDC6CK7fkrhHakbiESjxNcuoQIJ2sr4TgRLu5btwtv04bN8RqJbo2qiOUNG9Th+azKaM/RbZou5i4zZGTKwgioFa0cmoJIgWZPAIqRu6SntKZoRkqo3UfxEeN339a9/6dMP64/EiRHn7dsIZ+xCG/LnKWDE9MuRiX5xagTr2DTY2ECqNWGHjWsnTE1iSHBuGO3ODR0q7okdvSIkzMg02+XKiWMjKMVPTWLwB89LTVwQVjfj3cbDI7OHpL3ETkTPHutgfkYlCOnkBFxRFTY/oKLo98R2lIoqhOnZRBbtt7fHnDNzpOY3O99ExiQilUp2mkP2c6vzLYkwxO+FH5xnK6QSvBC/3uk60trovHzVha22tsKCcyLnflr5aXp9Lo6YDjwwUHKaojxdjR3Xnj3xPNgf9V1f4QBplZ5vex65UoiFVcbpGXH79W2J5e52l9gTROb6Hq7z+RVw6iJ/Z+Szy40HC6di8creyEc8CcXoFQiifyqsnZK/y1j0nU7O8rp1Utfr9l3CF+uEvzKM1lazgBRRKjSqj94SPyM/CM9kCe/eRIatq6V38EatpvicKPIR9mqVC8DypWAhHT/ZEwGZsqLI22TwP7cO2x8txsj9tGcVtsRSqOmMqOWIDL0MU3QDgp5g652ZePvZH8ks7FEvc79QpAzR/SpYU0Qv0Z3r0jBv02dBIEX3/kvQnKG//2lqzpCRP8O/xhmiEP73XDkR1++yZFF70i14rKvhXFhlIZq7RKxmHRWPYd6ZeWizXTDVyPDv7Y+klkkj7J7rKwI/B0pRLGlHmuuEWPiTsJky/DK8JrI1HVueuiPXpkQnnktopvwK1ItnXqjygjVG0JVEdKfr6lb8aKuRo0J3SPSO6bYZBYgyPSvlcMcnCui+tLMpH/+NyakZxFhclvVuzj07h7xzBeNXj0I9sPryar2A7/VZJsj84psyEket7t4VnwcTmQE7agwzEhDdR3zKxQVD3M9QY00NbLomUgHf9nsrpXUy1E6S3Ecxh2I41OyQ3nlm6u2zT89KKX6sFcU6Q2Fh5KGRGHRgkHSKo0pyGt2mupvQfkd7yQFmeu2L7YWgZJSgICkknhR1AHvp9SnbhF7b7g8lQggGO3Ls0HH0kZ3AW69uwdLUUnIG6Us/SqYQmU7uvr6L9NPF+82bE28/hb3B0MqllYEOV1H7IvBdSmlwh0LX1J2mDYhz2+b+r73zAI+i3N74oTfpVYo0RboUKYJSDVxpStMrgoKAyBUUpQiof1CRoiC9KyJVQRQpFkCKlaKAIiBIU7pUgYAQgf95v91JJpvdJJvdZJLse57nPhezs9/M/GZm53u/06T7q1q+eLmrhPEH3/wuNzSpnkYC/hAo/O1X0qBfVG+8I/eFyddvRe8H5894Cdm2ft8ntamsu/uqDnAtW3bJGO4qcx2bIWgurccG/Z6pJdU62cKN4xqEnweFAMVQUDA6OgjFkKP44955ihFDOBVMtDHhVvv4qXrStrBrIjOs4TB5qd5L0U4WYVTIH7GHw8RNI/YtCo8pLMcvReX1YOvN3TabsCFfhhyffqv6ifqCzIQVfWWyjNFwMlRYUxusUTkjdN5dSHN0r+jc7DGNcpvs6s0nrbQqcP+R2lG7ePwm5tYxDP9muOlJBFvVcZWElfYSKB7LqcLDBPOc1CIsauKmiXLq8imJuBEhEdcjTIU0eJ561+glde7VpGAIPRi8LLdojB/i3LNoqXQrzMTa70MPReUTJeDCjN84Xvp86QrJW/bfZdLyzpZiz/mA8LBXGDuqKVqF7XnQBbVj+wkNg4KV0sm0JYzw389qLIlV1S+OYyszsYz8fvZ3Uyjh7ICzkczQ+6blwpZy8Zpr0jGv9TxpX6G9yQvy1zxLR1vfR4VBFM2AKMmbJa+cHuAqZRsUK6b5MUeOmKH2anjNnYrk8uDLkiWDq+y9VSAC/4YHEvlbMHhoURo8mM9dbOfz84mfI8MG+9TqYzyo6Ms0YXP0YhKXBl2Srsu6yoc7XRXAKqYpKDuGRPXssu/jnKaKfPXTYmnXR/OFtMgGKlQt/F6FcxKKvKBcQw7iOIG8O7dL066uPELY/hbtZdPLtqqWSXCEGbTPUfsmrlLbsdkF/WnK4a53g+12qsM1QtVQFfdjckm9pj0mPy3NK3vkY8Y1MD8PmADFUMAIHR+AYsjxSxD7AaQoMYTJGSZpajfTpZPiva/LYXe0wM0h7phu/ey1Da+ZPA5MUJc8vMQkrAdqEAjZR2SP7BVjjfdB2w/kkYpRPU4891N1elXZfiIqxnpuy9nSsWZXrZDg8lK0VP2wwlb/4TGN5JrnrjnQSQuzzZ2sOT8LNB77ipZVRTnoynG/1D7a9ZG0X+yq3BZXk0nDUs9tzYE1RuRg4r1873LtP5HB9LQZeG9UU8G2i9qasDNvNkJrWwy0UqDcXpedf+00no9Hm/aV9Cc94jDyqRcEBRUSOMFM82qU9wFNTZHIH34tXG4ZoQLMi4Vr4aesrhoLUQaBhqRhiDWr6h0+RdU7e7EFHzcPCgjkHuUKqTPVxx6LXvgAfbSwDTw+gYQqnrl8RgqMLhApOLC/mkVqysauG6XNojYmpwgGMZY7S/xD/Hyclku4gok7YRuToOyaNnRzaNQzVn92fUHJbW8WI1/L544C/8AeLomS5a/Ud3nQWixoISt/17w1t934vxtGqFpluOuczCTfTXUlpB/U35D/ttNaCeoEuss98ft6+6dSr5c2C9YiG9czZ5EP13vPTQv8DDhCaiaQ7dhhebCN5oe6bXeH7rLtWVu/syQ6+YI/fie3fzLfVIzLdOG8Cvy0cjVXHimkf7dsiUYO33EmqqffmpLqMNe0y3e1sFwW/e0c2kAd513GS93CupBFS1ICFENJijtRdkYxlChYgzdoihJDOG1UAfteO8m5rZGG7yCf4Xjf46a61vUb1yX96+picdvjdz0u7z/kSjIPxOwT3yzps5hqXrDhjYbHrFxm21HxccUFCdqWjcnYSl4YHJXonlUnmVdszoIWGva8fKFr61da55LXwzW0DHk3MAgIeF5Q5SgWQyNbJLjDMEl/6b6X5OiFo6ZvTaWC0ZufQrB0/KRjNMFmDY0VfwgNlINGonqeN/MIQrtimM6Rr6jYyGxFoXXuLLvfHGAKHMCDNFyjzgZ5K9w2Rrucv+Dqy+OPQWRkHZ418iun+p8yggOiDv18UPLZbun1uCKiKpJHfnR3d33Jly4j3wyMXh1JUNzim2/iPKQ9p/dI2cmu0q2JVdraOggUMpi0ZZLg3qtTrI5p8Foyd0npv6q/jP7BtdJs91LCM/XMZ8+YwguoQjfrwVlSuWB0IX3x6kVZvGux4P8blWwUdW9cUhda9uiVEjv2LSnzRmvIo9v+M+8/8uV+7/2FhtYfKkMa+NdUEsNCkKOX1oWrF8yzjPBX5FfFZlj4GLLeta9xTcfJc7VdnuPOSztHFpfAfXz9/1w3Z6uFrYzYRwWtT9xtYno9oN5YjQoc84Xejhtde9u/domUHqDlen/8USJy5ZbFX0RPGo/z5uAGJKAE0l79R9rfX0nSRbhcLpu1HPc+LcudXKzY2s+kojYsjdB3SvN7tklGfUxG6O/1DV1reqmxvmptBfMypcsqY+5bn2RV4pILo+RwHBRDyeEqBHYMFEOB8Uv0b6c4MYRStz2il/odpfoo74SZprIY8kZQ0tgybyv2CYHafEHzyH4wqNyFCZVl8L48X/v5mKFBZ87IlFa3Ss6LERokp+V5dd7cImNFeWK+q3RPW20L9HH56Edz3yFNY5jt+tv4FvnluS0ap3DSFs5j5eLEcRIVplQwFbI8zV7xDLlMpSeUNvlMvqxzlc6CCmg7Tu6QytNck+kWZVoIeuog5Asia+qTlWWKO7QPn7eeXE+WnoruNSiiqRw5rqeTWfm6Su3/c5UrlqwqaODt86NgAb5mD4dDcYQbQ6JKwlpha9b5tC3XVsbm6SDFwtrGOEX03dikKTA/ePYDRC7TPu30G4fB62XlKA26d5AMb5xIjWXPnxc5rSFw4IUCDzazl76e+MBEQXggDOW+7WGC3at1l2GNhknTeU0FAhh5ZBAJVhNViCzkppm8JVTdQ/U9m+0KqyLlV22L/EvrD1tHeqTwR3sj2UcrPioL2npv2hgbUlRDRHNXy8JKhcmqTu6FAPcfsdiBynzZM2Y3zxuKJ1hl1T/r8Jk8cIcqG7VV+1eZin4oLmFvtGqJpD4/iIx1azmEoy7XZ3Poj9llyApXWOPN2rUlzUaXMrpaoJAsWaY9wWgkkAACyBsq9dlHcunWYrJDm4BezxK1kJOA4RLtK2O2dpOtf0X1Xht93zpTfObE5UNmnyVzVNK8PO95jYl2UBzYEKAYSvk3AsVQMr+GKU4MIawJYWOdoq+u1dJel5tdud3RLBh9UBCmlO+tqJcAKnphBdvuJUHC/pim6umA7dfqWigQsGRJtGP5V1fbfimTQ6rtuWD+XkIXsf/wiGqqrGksP7uKk8ncJoWk0watruAOVzJ/RMnqZlruKg5DrlLfVX1jbGUPJVq4Y6GpPBeblchVwhQjQKjfrO2zzKbRQu/++MNVQtttb3cpJ32L67K7D6tVoJps6LdTMl12eW/+njZecvZw13uN66Tcn6P0dM131GOm5ilCPv/9cxnx7Qgz0R/ReITcM1VF64iohnw7i2SUCkddq7Sva/RkNv2n5Q2ItnuUVC6qNxQq4qHggxdDmBjCxWBvNHpDBt/nKkEdVENVt7Yq5KwwPjTmXaaexRyuQg3rDq6LLAfta78VVEuP2l9C8hcsJS0KrjXl2j0tc4Q+P+XelkoXNTyuZ0/vQ6lAkM81FFB7RXlWy9vRc4cRhsghS0hlO19hqHbxjjBI7GPPGVfVKHtRhMzpM0v44HBz3S2Dxwu9yOBlsuyFL1+QsRvHyvsa7fm4u95EOa3af+X24nKooN4nHWI+D5fKlJNlc9RtRCOBVEzg0/2TZNHvGhqqljdzYRlf//skLYaSitEGfGoUQwEjdHwAiiHHL0HsB5DixJB1OseOyY3y5STt3y5h8ZlWNF6pbQXSqAvmr2yqQ9TjckPnRSVzlZQDz7nCe7CqbIWsYQXcZ9PUr7TyDjwwYVp4oHx5sYdDYZwLAy+YHjIQGyfDo7w25fKVM00zh07ShPbP18cK/rzOr3MjHcej8BY8KEfGur76bdV8cu82j6R4TNbQ0DQO23x0s9R6R2N/PMw0k3zQ5Qp57vPnIhPNPQsOxDZ8ZN8jiNLHomqcn1DuRVR/gbtlCFOE1wEV1+CJgqGM8ZaZri1WNrtdmq/8PebuLuh1RY7Uz5pE1aaNyDtagWm3iiz1DP5xYo88mekLWavhkWObjpU+td29jTAKvCj/+5+qTBVpT2g5PhSqOHs2cvxrzz4jGSdMNv89TQvPtdQIuSJwBqAp7HD17Ngb4eqfTxTPKxk2bpG8hTSAHg1k33tPBMUX3npLPjv1vcBjCINARhNcvwx5YKhmhoa7lTR80Vv+FPiCs92GaFiYu4S5PSTS6771edilp1vOfRtNVA35rIeWbqYMVnpx5FxPn0725Lou5e23IPp9TZokH/z6gXRY0sEUBoH37aOHP5JS40vJwfMHBQIazWFNXhya8OJ5QngrziN9VAir/XhREe/WMcrBwyb8Z4L0rtXbiKwun3YxPb682esNX5eX68Wdi4HiImeGvSRj3A6nf/VeRahqldtqyOY73hRp2DDG8L9OmSO/VLP1rPLrInNjEkgZBP7597KsOTxHw1TPaF5QaymewyNsIWWcRqo8SoqhlH9ZKYaS+TVMsWIIXLVi2c2cOVUARSV2W7hntCoiPaodNRXlahetLbdkvEU2/LHBhM3A0NdlZYeV0riUBkbbDbki9dwFF3RsTKo3X9oTKSzQaPX1Rq4EFIirbsu7yezts81/Z9Qk06I6h99vK2QFgbBCRVq3qAgjs+16bYPQUOeJ9xS9R9ArBRXJjOmpHHnbPUH3du9k0wFPaTECJLjHYlhpf2LpE0aEoNyxvYiD1XQS1c5W7FXPgxrKQiP/ZNPRTdK0dFP5ao96WMbukMaqI7frwnpH1SO7C7h2uKHzBqmXU0PmIApshQcqqAbZ5d4G29lLMdvLfcMLcUl1Rzo914uaL3XLzPclDUSefaIM8dNdk3osgyh6Ssuab3KFK13WOXUxTTea2HG+dKhkW81/4w3fvYymTtV265r8C/HhaShMAWECbxByZjwNYilCD9wyPd5Fgx+URz5yFc+wGqbGelHsH+KevUcbtLrPRz7SzocQfeinhbwwhMS11goaD2ss5dqosE8zBEqW79Cygyoubg4eLJdPHjHFFY5qmk9bPRz7Naiq9Te2uqMS8dV1JUQadY46kFv1fj00Tu9dz+bzGro4d9HLMnxpX3lF24p0sJoy4rggLtVbdvjvw3L2yllTFhwha1ZRBTRKvtzrhGSYOl0TD2xVHmNpumsvhIDQ1i/2RXliWt3ZKrKBrS++XsUoCnSglxeuqft5+XnHGqlwV5ikd/9k/KS3wt0addvsjmaysqZWebxDm5hZhvtbwyW/PnZFjpxz5QjSSIAESCCpCVAMJTXx4O+PYij4TIM6YooWQyCBFXV4cTzsSub08m3hfyWzCpRLOuHu2yRqMm9t2r58e1nU3qNnwmhNRrd7B7TnzLpc5yXs03aiKS+CZp796/aP3BtC5WbP+J9UeXOu1DhyQzLYJpUHn/6vlCr0geTUedRh9fZkt5UtHdIAeRZiksThpRr41cDIHJ+ZWr3HUzxFO71hWq3APsm0PoTn5BWtpoU8HPTJgTBA3xw1ey6N1aTW6hWTP2t++au/rdGRTsZ3N6wk5fZH9WzZrvPCajppzJQxsxE5+aZqUYp+/SIPq+ezpWVanqjmm8jpOD/wfGTY0qHzh6T/6v6mJw5Cmp4auUba21OaUDJ9nM7KLdOgZdBGAAAgAElEQVSGn/K2qkLLPtRs9ye1X0d4eOSfXtFF/JbPTpKa5bThbhm4BdXN1kI7kSOU0NO+0Mk1mr9ChEDYuKv5RW7m9nigWMXNmTNkzdYlEhZVL8DrM/fF1L7ywElXaKTXqoLYF0Tddk2+b6I34INRJXYFni+Ibcvw2QOa7/L001F/w3eOqhttp/bWwsQcRQ2sXCYIx389y+PpaVWrKrmabpMM6pQ5p3r5fXVmWeFgGHiPtsQq2ztqFz22qIfMjgsCtIaWitfjGbt/vrywylXg4tD+VlJ8rrvwBxrnWn2ZbGSeWv6UzNw6U4rqbbNv1i2S6W8PUakeJQFnLzZz01QZtOR/Ak/NwOZalGRt7CGHEHk9Nb0Iid5jNXpvULfZ8kQV9QR6u3+wgPCTNlC9U8s2IsTQfR2Oa7hgE422/VXRmtw4fRZNmNwHH6hLWT2Bs2ebhZGv956iGPJ61fhHEiCBpCBAMZQUlBN3HxRDics34NFTvBhCU8RHdDkcIUcwrK5/7L38M3TKcZ1PptN/QCBN1Ciyfh/8KcVyuiqvGUOuz5saLuNhp3Vi2Udzyuu9NF2eqh698aqZxGKybTPsq6rOa39xpyu0SVNBKqzbacTZMT2GWVVdVeSMl8Vd+hvCKtvwbFJfI4zWexbAg5fgU1VJyJnKrw0gNEwwRsgRmppu0dmtZQM1Ds+dLzPy25Emz8myiFciTFloFE+oUVhDhLprg01M3uGhgDfCi02Y0U2qN+0sdW/TkCd4V6w+PerNWH9XTnl57cumElim9JkEPV8eqxwVQuc53NfblkqOB1pH9rC4qZ6GNMe1hxOKKcDbhMp56FVk2QDt4u7lukR+jl5BWP2HcPA0TH7hcbGsuLrl/oyq8LegoqbBzJwr1SuGScFbCoqVI9ZOh2qngu0RL0NiqD1NqkvZOjrJVlvx6AppXsYVMhdpuCdwb1j26qsusQrRtldj0zA5twzCCMf1i4/GqfBcYaKOaxpPO5E9jRS6GNNrWkT1De5BhGh+Nk8P0V0rYsacPvJUJ3eMpn5sb/b6a5HhUqG7W6CANfLiPGzS5kmmcMMoDUEbEFXwMWorCN6xOr47HBCeVYS9bZjzmkwdty9yIeFqgbzyaKNz8knZ6O4qhLwiFC7f+i3S6gV3Yp179M1j+0nN0xp7+rt6WLXsvix0l2S0HyM8cT9o5QS3hakQWuMuVte/Tn95M8z93ENkYgz3cVIMxfOG42YkQAKJQoBiKFGwJumgFENJitv/naV4MYRTPqdFBg7oMr7m95gV9wYNRH7TviCYzHgJobNTWvXCQ9JkpHqHUEFLJ98RHy6QDJ+6Qsc8DQ3oVi0bK82b23JUsJGtaeeKcunlQPZ/TWjcas1jgiFUb3qL6Sakzm7og4Sy0Agrsqzjxx3lq+/ny3F3LYbID+A1QXUrrFrD4DVA2BissYb6vat5QDZPTeT3sBLesqUJZyo4umBk5S37cXSs3FHmNtfvV9ckGi9etsht82j3TU2el8taXtsSQvgQQjSOct/eeJYbd7u8NnN/pIfo2vPPSsa6GqKIsLApU6J/BR4uey8gr1fI9kcUdWiu4gTiCk1UISAtQw8hzQ/67exeeb3GFVngrjidLUM2+aXnLyY/pdxkbbrhtjd+v00Gz3eLp/9q6TGUdlcxFZEpg5TuGWF6XZneOhFa6Q2eINxzYIkcI3i07IYCCAgXg6cC92l8DflrKF4AMeGR12SEHsSUl3wXX8N/p/r/CY0Y3DfRtcWvimfeghdl5P0jI78ycM1AGfXdKPPfW7tukarFbM2FIVwLRRUmwDaoXohy6t9O/1dqqUPLjNuwglTURYBIQxgawhH1u8tWvi3Ze/WVhodiHuWFHJmk2P+uygWtIj/rnlHSaegnkn6/PuPwDNq8g/HF57ndtQL5JG/PC3IpzTXjqcT1q1U0Zo4dvkcxlFDK/B4JkEAwCFAMBYOis2NQDAWZ/0Jd8RytoVy7du2SbBr+EaaTpJEjR+qisq4qJ8BShRjyPG9MRpHfgXAorBTDq6K8fNmFQrklxwkVVPGw483ry62v64QUkzp4aVDprYA7UUYnuuc+/8Ssdq85uMYID1S3erj8w6Yxa8UpFSMrYWFXH7b7UB6uEN0Lg1yf/Wf3Selid0kay9sFjwfEHXI1qqpLKS7zFA4I07rrLun7ZV95e+PbxvP0mKac5NL0qYIayVSsaDkpGaExQ3avEvah95UpIoGJvS/D5LyPhziM6/jcn8/aNksGLuhqhB/yh2JYWlWfEDH20uK60Zf1CsvX6Y9JFr3Eg2q8IOm+08aBCB/D9ggfQ5jX++pag3CLxdBAtt2idqYIgGUogjGtxbTIKnH4e+ncpeWnsI/k90Nb5WbFClJ1xjJJP0yTntTO6WR9jDoc2rzznVR79HktyaYetkANBTIgCCFwYfBSoHCDVUERQqRaNZcgvV0V9zZNSLtFrx+EMjwiKB6BHCubTblb60pEVa2OcYSTFNmOV56S6S01z0cNghA5QBuPuMpL7+ut9+R0FZGao2QM1x2eKngoFy92hR2qt/DEvp+l0CQ9VrUf1XlYW/V/xKTckgYLFpbhPPSa3li9StJ6u+7u7a6WKCZpVMxm3ObDWxYXZzz/uDdQGRAhenbTUMrzjerIsYvHpHD2wqZBsy+jGIoLND8nARJITAIUQ4lJN2nGphgKIudJ+kLv3bu3FmaqKx07dtTWI6c1zWKc5jJn0nnsFm1BEr0HSXx2nSrFkLcTx0r8QVUBOmG7qeFkm8reIrUP2JJ4vHwHniDM1d5T/dHDFQ0Vuz2uHWAxCfdhqPyFCTi8NJhgwyOjD4j3rZEfgwkwbIJWZNDrbuzRR6O8Q96+ibLbVsUz++fIm1Dvwe7qt0m55e7Okr4OFD1mxmsyOfJwMMmFqPAsKoCQPHjiMMnE2Am0N75+Q5o98rJU1Xl9DEN+Cc4XTVBt9nA7nX9raFueLHnkzABtmR6A7T61W1Ai++mVtlwdL+NlzZA1spR6jmtp5KdZGeT2E7HfP5HDIFSua1eNudMD92aoepdXk3kgrsG0myoI3Bfap8oIHuQLIWzQbvCSodACPGAQS56GRr064b+p129f5aLyW/0KUltTyfLPVkEzT2PjPOxBdXgt0147yIlDQY85v8wx+V0wVIfb/+x+Sfu1Fhfxw5s1XTX00y1VKB7OLn125ZAaWzVf7KrVmTf6AUQUKywZVmnVOXCAwIOHNxa7mD2T3Nn9qtyqYv6b2Wkk6zUvqspeeRHiENcBRRWQl+UpjmLZF8VQAA8Yv0oCJBAwAYqhgBE6PgDFUJAuwRmdGJXQiU8ZnaBu0gpU6d2Vt37UDuk1dWL6pE6e30GIjp8WMmLIg8szy3vKQ32m+UyS/1TTOR519+m8pnNN9P6poEXcYjXk26AnTDAM3i0URECPGzQBtQyTOngFMHG2DIUBMGHGhNuqhHfokOvfmDDHYjf1PkpjT8RHLxmEgdlFGvKwEPIFQ38bjO1no1RfhwBhOLF5fhmyznU+J1VXDWucQfJVqimX7rlbTl47K0Umz5V+ekhZ1RO0QOtl9NAaCShm4a0pZ0LRv7r+VRm6YWi8v55dvWpvan/C7lu9eLUQCgf28JoghBKlviEoIVQR6mY35ELBA+dLFMf7iPzYcKseNIoDICdL76/R/6yV/iXUg+pDl89+0F2cAJ5KVGazlSr3tdc91UtI2H2HTAihZeP01J/z6F36rOruHWVzybq31etpMYB3q3PnqLBIeAdraQgbRAyOXcPkrnd8TLbkCjcCtVba2yTbn+otq6gKGV5UeMrgHYUXFd5Cy/BM4X/2v8UDG8VQPCBxExIggUQjQDGUaGiTbGCKoSChnjVrls51u+ocRicmWEm2WQNdrd2qkwR4ijK6q4fFd7ehKoYQHvPkR53k0TnbpNJv5+Siao5DOnGrqbkOmJAvGtBMZpz+Uq7fdK1kV892h3yd63nJelYnkMirQd4CVuQhSvE/9MTxtfIf34sR3+0QEmZVGMMk0ddEGseIqmzYFv/GJNFuCJ9DNT4kwyMsC9XKUHoa5ZPthjA1TJ4ReoicGazcB9E+2DZPls14Qf45e0rWl9DQs1gatN+W8zY5FX7KFL1Y+shSKZc/KrcnkENCaeruy7rLgl9dfWywH3jy7I1125VvJ6iSt+XYFvn1L1cFw5pnssg3S/NIxsPuJBkwhIgtUiTm4SBUE/k+8Pig2t8ozcfxc2IeyDn6+u6aA1rZb3F7Of+P9miyWaOSjUzj2ppFXA1ujSFcc6Y2iYLHCrlXENI4B3ib4M3BvXi/VvdTEYiGsB0/6WhC0WCZ9PYZrQ6rGvqflzWCbWgDzcfR6926bGv5+BGPoicIq0ORC9xrAXgeg8GLYigYFDkGCZBAQglQDCWUXPL5HsVQkK7F07oqOn36dC1CtVfTVWy9MHT8wRrHP0Krhv2sXoPKqDrlh4WqGLIjQn5EzxU9ZfOxzZIzU05Bn5NB9w4yCeGrD6w2E2Dk9uTMbCuF7AfjZLMpQoQgiOBVwn3ibcLu0MFGXI+QtQfXmtLMaGgbcSOqp0/GdBlNHxj0koFISSrDfbFy70rTWBeCoNqt6pFzG6rmHb1wVIrkKCI50qt6Rl4KPEEo7a35WSnNIAa/P/x9pHBBX64mpZtEK+4R45wghKxCCsjP8WIYd8ZPM2Sf5sEVuqWQdKnSxfT7spofYz9tyrUxIY/J1SiGkuuV4XGRQGgQoBhK+deZYihI17ClVgRboVWoLmslryweDTenaOWtZzS/YqXmCDRDKI4PO6whU/if3XZo80YIre800bhOnTpBOloOQwIJJxB+LVz+Cv9LwiPCTaWvojmKmv+nkYATBCiGnKDOfZIACVgEKIZS/r1AMRSka9hYyyev1VCm65oQndYjtMYKoVusVZ3axRKqNXToUHkVvU68GMVQkC4UhyEBEkhVBCiGUtXl5MmQQIojQDGU4i5ZjAOmGArSNYzNMzR58mTp1asXPUNBYs1hSIAESMAiQDHEe4EESMBJAhRDTtIPzr4phoLD0YSyMWcoSDA5DAmQAAnEkwDFUDxBcTMSIIFEIUAxlChYk3RQiqEg4X5XGzB20/4jvqrJ/aR9dFB+m9XkggScw5AACZCAEth17IKcvqTNlWkkQAIk4ACBjOnTSu1S2oMtCY3FtYILm2IoSDxRNrt48eJStmxZr32GunTpog3r3R3r/dgnb3g/YHFTEiABEiABEiABEkjlBDg3DO4FphgKIs/x48dLnz59pG7dutKpUyfTV2js2LGSQcvaovlqkQSUSuYNH8QLxKFIgARIgARIgARIIIUT4NwwuBeQYii4PGX+/PkyZswY7eu4W3tjZpWwsDDTY6hkyZIJ2hNv+ARh45dIgARIgARIgARIIFUS4NwwuJeVYii4PIM+Gm/4oCPlgCRAAiRAAiRAAiSQYglwbhjcS0cxFFyeQR+NN3zQkXJAEiABEiABEiABEkixBDg3DO6loxgKLs+gj7Z69Wpp0qSJTJs2TSpVqhT08TkgCZAACZAACZAACZBAyiGwY8cO09Jl1apVJh2DFhgBiqHA+CX6t9G7CDc8jQRIgARIgARIgARIgAQsAlgo79GjB4EESIBiKECAif31I0eOyMqVK6VUqVKSLVu2xN5d5PjWqgM9UglHToYJZ2f/JjmSY3AIBGcU3o+BcyTDwBliBHIMXY7h4eFy4MABad68uRQtWjQ4IEJ4FIqhEL74sZ0641EDvzHIMHCGGIEcyTE4BIIzCu/HwDmSYeAM+dsYHIbkGDyOKXkkiqGUfPUS8dj5sgocLhkGzpAvquAwJEdyDB6BwEfib2PgDPlMB4chOQaPY0oeiWIoJV+9RDx2vqwCh0uGgTPkiyo4DMmRHINHIPCR+NsYOEM+08FhSI7B45iSR6IYSslXLxGPnS+rwOGSYeAM+aIKDkNyJMfgEQh8JP42Bs6Qz3RwGJJj8Dim5JEohlLy1UvEYz98+LC8++670rVrVylWrFgi7in1Dk2Gwbm25EiOwSEQnFF4PwbOkQwDZ4gRyJEcg0OAo1AM8R4gARIgARIgARIgARIgARIISQIUQyF52XnSJEACJEACJEACJEACJEACFEO8B0iABEiABEiABEiABEiABEKSAMVQSF52njQJkAAJkAAJkAAJkAAJkADFEO8BEiABEiABEiABEiABEiCBkCRAMRSSl50nTQIkQAIkQAIkQAIkQAIkQDHEe4AESIAESIAESIAESIAESCAkCVAMheRl933SCxculNGjR8uuXbskW7ZsEhYWJiNHjpTixYuHLKm9e/fKvHnzZNWqVbJ//375559/pHTp0tK+fXvp06eP4WS3kydPyqBBg2TlypXy999/S5kyZaR3797SvXt3rwxDlfnly5elYsWKcvDgQenRo4dMmzaNHOP5lOG+wnP58ccfyx9//CFZs2aVsmXLyosvvigPPvhg5Ci8F30DvXTpkowdO1Y+/PBDOXTokGTJksU8qz179pSOHTvyXrQRGDFihGzdulV++ukn87zifQBmviwx7zt/x47nI5Ukm8WX482bN2X+/PmyYsUK+fHHH+XYsWOSL18+qVKlirz00ktSq1atgN8locDRG6QpU6bIM888Yz46fvy4FCpUKMZm/ryTUzLHJLnpU8hOKIZSyIVKisOcNGmSmbTXrVvXTAZOnz4t48aNk0yZMsmWLVukcOHCSXEYyW4fAwcOlIkTJ0rLli2lTp06kjFjRlm3bp0sWrRIKleuLBs3bjQTKdj58+elRo0acvToUSOUSpYsKZ9++qkRRkOHDpUhQ4ZEO79QZt6vXz+ZPn26YFLqKYbI0fdjgEaLDRs2lLNnz0qXLl2kfPnyAmH522+/Sbly5aRXr168F+P4Fblx44bce++9smnTJuncubOZXIaHh8vcuXNl27Zt8sorr8hrr71Gjm6OOlGQPHnySLVq1cy7IFeuXD7FUGI+u/6OndxeJvHliAU3vFOwWIT3DhbfMHHHghGE0Zw5c2IIdn/eJaHC0fP6gx1+I/H8473jTQyFEsfk9nw4eTwUQ07ST0b7PnPmjJQoUcKsjGKCkD59enN0WJWqWbOmPPnkk/LOO+8koyNOukMBA7yMcufOHW2nL7/8srzxxhuCH09rpQkeIazYL1myRNq0aRO5fatWreSLL76QPXv2GIEEC2XmmHBCNI4aNUogijzFEDn6vr8bNGhg7qPNmzdLsWLFfG5Ihr4ZfvPNN1KvXj2zYAHvkGVXrlyRUqVKCVbmT5w4Yf5MjiIHDhwwXGDwQGKy7sszlJi8/Bk76d4Q8d9TfDn++++/gnsUix52wz0JgYT3Myb2adOmTdC7JFQ4el4ZvJPh2QRDRHt4iiF/38kpnWP879zUvyXFUOq/xvE6w1mzZknXrl1l9uzZ8sQTT0T7DiZfCJGApwheEZqLwC+//CJ33XVXtIn8bbfdZl5UeOnZbf369ebFhjAJeJpgocr8+vXrZiW+YMGCMnnyZCMOPcUQOXp/yqxJPCbwmMhj0nT16tUYoZr4Nhn6/qVC+BFW3N98803p379/tA3hacNk33qGyTE6x7jEUGLy8mfs5P6eioujr+PHhP6TTz6JNpH3910SihyXLl0qbdu2le+//16mTp0q77//fgwxFMock/vzktjHRzGU2IRTyPhPP/20CVlCfswdd9wR7agHDx5sJvE///yzCQujuQh8/vnn0qxZs8iQGqza3XrrrdKhQwcT7203TFgR9vDQQw+ZPA9YqDIfM2aMYbZz505B2IinGCJH30+YtRK5bNky8zJHCCYEEXI44GGzQuTIMPZfKSzswNOBEGDkENSuXduEzcyYMUMmTJgg7733njz++OPGO8RnOv5iKDF5+Tt2cn9PJVQMYSFp+/btJh81c+bMfr9LQpHjhQsXTDgxFkAghBAa600M+fNOTm0ck/vzktjHRzGU2IRTyPj4kcBqKXIPrPwX69CthEPkvWDyTxOBdwM5Bwih+/XXX+XOO+80ycV33323DBgwwIR/eVqBAgVMKCLCm2ChyBzJ/hUqVDBJwJjYI9TGUwyRo+8nrHXr1oIVzvz58xtuCM+EoMQzitw15LlAaJJh3L9SyPtDURMURbEMuTDIG2rRooX5EznG5BjbJD4xefk7dtx3gLNbJEQM4R2MexM5vbhPLfPnXRKKHPE7idB15FXiGfclhkKZo7NPg/N7pxhy/hokiyNo3LixrF271kzyrThk68As1/HixYulXbt2yeJ4nT4I/LhiAjps2DAzsYdZIUz25Gv7cSI0IUeOHEY8wUKROcQ0BBFWNjNkyOBVDJGj77v7/vvvl6+++sqIarzY4dmAXbt2zax8Io8AxTtwjyEnhveib5a4B5HzB68aisYgqRyrxmCHidMDDzzAZ9oLvtgm8Yn57Po7ttPviLj2768YQp7gPffcYxYrkXOJxTXL/HmXhBrHH374wSxcoujEY489ZpD5EkOhzDGu+zW1f04xlNqvcDzPL7YVEeR1IPyGniEXTKtwQrdu3UxYDVbmYXGtuFmr+fHxDKVG5gsWLDAvow0bNpiJOiwhnqFQ5mg9pwhdxUTebqhUCM8QwjfBKDYvZSgzBLMdO3aYwjColol8NcsQzoo8QIQg4d6EMCLH6C+RQDxDgdx3/v6+xvPV59hm/oghJP3Xr1/fhHIi/9QzXN2f93cocYyIiJCqVaua8tlr1qyJvNYJ8Qx5vpNTG0fHHoRksmOKoWRyIZw+DH9iZZ0+Vif3j/LYr776qsknQF6B3YsWWwwxErLRCyZUc4bguUDlM0xAUabcsiNHjsh9991n8qwwuUfFPlT08pWnEeoc0QMH5XXB0MoPslji7/gc+WqNGjUiw1h+KFAdE88vqkehZLTdEOb61ltvGe8linzwXoy/GErM30B/x3byPRGffcdXDEGUo4gRBPrq1auNOPc0f97focQRix19+/Y1C0SolGsZ8ivh/cXCJDxsVh/FUOYYn3s2NW9DMZSar64f5/buu+8KPB2+qslhFQQTh1CuJgcRBDGEeG0kX3qGEwI3JvwI//JVTW748OEmVwYWSswRguRZmtzb7WlV2yNH7w8v7jusanrLS7MKnWAFFOEeZOj7B7Bp06amiTImhhA8dkOVvvHjx5t8wOrVq5OjB8a4JvGJed/5M7Yfrz9HNo2LIw4KIcUQQufOnTNCCO0IvJm/75JQ4Wg9y7FdYIQaY5EtIe/k1MTRkYcgGe2UYigZXQwnDwXVlbA6gh9ob32G0NwRP7ihagg/QhgSwrwwIU2XLp1XFC+++KIp1+utzxBWpxD3bfXrCCXmCFdAmKWn/fXXXyZMCZNTrMqhuAKqGZKj9ycNohLPKbyMyBnKmTOn2fDixYvm2YVXDd42fE6Gvn+tnn/+eRMih55g4GQZqk7hHsTkE88nqnWRY3SOcU3iE5OXP2Mn93dVXBztQgjCHV51X+bvuyRUOCIc1l4gxeKHipEooALvcN68eU0xI1goc0zuz0tiHx/FUGITTkHjYzUUKylIJu7UqZP5YUA/E3g6sEpapEiRFHQ2wTtUK1YYBRAgijyFEFaWw8LCzA4xiUIYA1acwRIVv1D+GJX6vCWzhzpzbzlD5Bj7vWsVNEHYB7y5yFnDQgWENjy7COEkw9gZYqJZrVo187wiRBMJ1vj3zJkzTVPG0aNHm/AacnRxROUyMIPhNwvl3C0+qM5lD9lMzN9Af8cO3lsgOCPFlyMWN5C7hnuxd+/eXoUQ3jl2r6Y/75JQ4ejrqvnKGbLu7/jOg1I6x+Dc1aljFIqh1HEdg3YWyDdAH5jdu3eb1WX84CJ0CZP6UDXrh9PX+SOxFUmtlqGrNUKW4AnBSvPtt99uJgvwfHizUGbuSwyBEzn6fuKWL19uyrcjr+XmzZsmnAvhl6iAZjcy9M0QHjT8tqE6359//mkWOapUqWKe1UceeYQcbQQQqoXCJ94Mnko8x0l13/l7Tyen91Z8OVq/i7EdOzwbGM9u/rxLQoFjQsQQvhMqHJPTs+H0sVAMOX0FuH8SIAESIAESIAESIAESIAFHCFAMOYKdOyUBEiABEiABEiABEiABEnCaAMWQ01eA+ycBEiABEiABEiABEiABEnCEAMWQI9i5UxIgARIgARIgARIgARIgAacJUAw5fQW4fxIgARIgARIgARIgARIgAUcIUAw5gp07JQESIAESIAESIAESIAEScJoAxZDTV4D7JwESIAESIAESIAESIAEScIQAxZAj2LlTEiABEiABEiABEiABEiABpwlQDDl9Bbh/EiABEiABEiABEiABEiABRwhQDDmCnTslARIgARIgARIgARIgARJwmgDFkNNXgPsnARIgARIgARIgARIgARJwhADFkCPYuVMSIAESIAESIAESIAESIAGnCVAMOX0FuH8SIAESIAESIAESIAESIAFHCFAMOYKdOyUBEiABEiABEiABEiABEnCaAMWQ01eA+ycBEiABEiABEiABEiABEnCEAMWQI9i5UxIgARIgARIgARIgARIgAacJUAw5fQW4fxIgARIgARIgARIgARIgAUcIUAw5gp07JQESIAESIAESIAESIAEScJoAxZDTV4D7JwESIAESIAESIAESIAEScIQAxZAj2LlTEiABEiABEiABEiABEiABpwlQDDl9Bbh/EiABEiABEiABEiABEiABRwhQDDmCnTslARIgARIgARIgARIgARJwmgDFkNNXgPsnARIgARIgARIgARIgARJwhADFkCPYuVMSIAESIAESIAESIAESIAGnCVAMOX0FuH8SIAESIAESIAESIAESIAFHCFAMOYKdOyUBEiABEiABEiABEiABEnCaAMWQ01eA+ycBEiABEiABEiABEiABEnCEAMWQI9i5UxIgARIgARIgARIgARIgAacJUAw5fQW4fxIgARIgARIgARIgARIqb7MAAAFCSURBVBIgAUcIUAw5gp07JQESIAESIAESIAESIAEScJoAxZDTV4D7JwESIAESIAESIAESIAEScIQAxZAj2LlTEiABEiABEiABEiABEiABpwlQDDl9Bbh/EiABEiABEiABEiABEiABRwhQDDmCnTslARIgARIgARIgARIgARJwmgDFkNNXgPsnARIgARIgARIgARIgARJwhADFkCPYuVMSIAESIAESIAESIAESIAGnCVAMOX0FuH8SIAESIAESIAESIAESIAFHCFAMOYKdOyUBEiABEiABEiABEiABEnCaAMWQ01eA+ycBEiABEiABEiABEiABEnCEAMWQI9i5UxIgARIgARIgARIgARIgAacJUAw5fQW4fxIgARIgARIgARIgARIgAUcIUAw5gp07JQESIAESIAESIAESIAEScJoAxND/A0XKq4dcJz8cAAAAAElFTkSuQmCC\" width=\"640.1666666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0x2c9b6616070>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "fig,ax = plt.subplots(3,1,sharex=True)\n",
    "\n",
    "wt[['temp_avg','RT','distance']] = wt[['temp_avg','RT','distance']].rolling(5,center=True,min_periods=1).median()\n",
    "ko[['temp_avg','RT','distance']] = ko[['temp_avg','RT','distance']].rolling(5,center=True,min_periods=1).median()\n",
    "\n",
    "ax[0].plot(wt.index,wt['temp_avg'],'g')\n",
    "ax[0].plot(ko.index,ko['temp_avg'],'r')\n",
    "ylim = ax[0].get_ylim()\n",
    "ax[0].fill_between(wt.index,y1=ylim[0],y2=ylim[1], where=wt['isDay']<0.5,alpha=.2)\n",
    "\n",
    "ax[1].plot(wt.index,wt['RT'],'g')\n",
    "ax[1].plot(ko.index,ko['RT'],'r')\n",
    "ylim = ax[1].get_ylim()\n",
    "ax[1].fill_between(wt.index,y1=ylim[0],y2=ylim[1], where=wt['isDay']<0.5,alpha=.2)\n",
    "\n",
    "ax[2].plot(wt.index,wt['distance'],'g')\n",
    "ax[2].plot(ko.index,ko['distance'],'r')\n",
    "ylim = ax[2].get_ylim()\n",
    "ax[2].fill_between(wt.index,y1=ylim[0],y2=ylim[1], where=wt['isDay']<0.5,alpha=.4)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82cdd2cc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "728fdeb1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "15b6085c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}