EQE Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "468bd045",
   "metadata": {},
   "source": [
    "## Data Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f8cfa9c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Wavelength</th>\n",
       "      <th>EQE</th>\n",
       "      <th>Global tilt  W*m-2*nm-1</th>\n",
       "      <th>EQE_smooth</th>\n",
       "      <th>number of photons per m2 per second</th>\n",
       "      <th>Jsc (mA/cm2)</th>\n",
       "      <th>Integrated Jsc</th>\n",
       "      <th>hv</th>\n",
       "      <th>grad</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>300.0</td>\n",
       "      <td>7.55957</td>\n",
       "      <td>0.051589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.791136e+16</td>\n",
       "      <td>0.000094</td>\n",
       "      <td>0.000094</td>\n",
       "      <td>4.133333</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>305.0</td>\n",
       "      <td>8.90827</td>\n",
       "      <td>0.301458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.628603e+17</td>\n",
       "      <td>0.000660</td>\n",
       "      <td>0.000754</td>\n",
       "      <td>4.065574</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>310.0</td>\n",
       "      <td>5.23355</td>\n",
       "      <td>0.941031</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.468551e+18</td>\n",
       "      <td>0.001230</td>\n",
       "      <td>0.001984</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>315.0</td>\n",
       "      <td>5.82802</td>\n",
       "      <td>1.644940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.608458e+18</td>\n",
       "      <td>0.002432</td>\n",
       "      <td>0.004416</td>\n",
       "      <td>3.936508</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>320.0</td>\n",
       "      <td>5.76204</td>\n",
       "      <td>2.397760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.862593e+18</td>\n",
       "      <td>0.003561</td>\n",
       "      <td>0.007977</td>\n",
       "      <td>3.875000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>775.0</td>\n",
       "      <td>63.96950</td>\n",
       "      <td>5.877400</td>\n",
       "      <td>63.507432</td>\n",
       "      <td>2.293033e+19</td>\n",
       "      <td>0.234695</td>\n",
       "      <td>14.558796</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>15.024791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>780.0</td>\n",
       "      <td>63.77390</td>\n",
       "      <td>5.805500</td>\n",
       "      <td>63.346976</td>\n",
       "      <td>2.279594e+19</td>\n",
       "      <td>0.232606</td>\n",
       "      <td>14.791402</td>\n",
       "      <td>1.589744</td>\n",
       "      <td>16.551107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>785.0</td>\n",
       "      <td>63.55420</td>\n",
       "      <td>5.719000</td>\n",
       "      <td>63.170320</td>\n",
       "      <td>2.260024e+19</td>\n",
       "      <td>0.229814</td>\n",
       "      <td>15.021217</td>\n",
       "      <td>1.579618</td>\n",
       "      <td>18.485238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>790.0</td>\n",
       "      <td>63.31610</td>\n",
       "      <td>5.476800</td>\n",
       "      <td>62.975256</td>\n",
       "      <td>2.178097e+19</td>\n",
       "      <td>0.220654</td>\n",
       "      <td>15.241870</td>\n",
       "      <td>1.569620</td>\n",
       "      <td>20.251080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>795.0</td>\n",
       "      <td>63.13000</td>\n",
       "      <td>5.461300</td>\n",
       "      <td>62.768128</td>\n",
       "      <td>2.185679e+19</td>\n",
       "      <td>0.220771</td>\n",
       "      <td>15.462641</td>\n",
       "      <td>1.559748</td>\n",
       "      <td>21.901325</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Wavelength       EQE  Global tilt  W*m-2*nm-1  EQE_smooth  \\\n",
       "0        300.0   7.55957                 0.051589         NaN   \n",
       "1        305.0   8.90827                 0.301458         NaN   \n",
       "2        310.0   5.23355                 0.941031         NaN   \n",
       "3        315.0   5.82802                 1.644940         NaN   \n",
       "4        320.0   5.76204                 2.397760         NaN   \n",
       "..         ...       ...                      ...         ...   \n",
       "95       775.0  63.96950                 5.877400   63.507432   \n",
       "96       780.0  63.77390                 5.805500   63.346976   \n",
       "97       785.0  63.55420                 5.719000   63.170320   \n",
       "98       790.0  63.31610                 5.476800   62.975256   \n",
       "99       795.0  63.13000                 5.461300   62.768128   \n",
       "\n",
       "    number of photons per m2 per second  Jsc (mA/cm2)  Integrated Jsc  \\\n",
       "0                          7.791136e+16      0.000094        0.000094   \n",
       "1                          4.628603e+17      0.000660        0.000754   \n",
       "2                          1.468551e+18      0.001230        0.001984   \n",
       "3                          2.608458e+18      0.002432        0.004416   \n",
       "4                          3.862593e+18      0.003561        0.007977   \n",
       "..                                  ...           ...             ...   \n",
       "95                         2.293033e+19      0.234695       14.558796   \n",
       "96                         2.279594e+19      0.232606       14.791402   \n",
       "97                         2.260024e+19      0.229814       15.021217   \n",
       "98                         2.178097e+19      0.220654       15.241870   \n",
       "99                         2.185679e+19      0.220771       15.462641   \n",
       "\n",
       "          hv       grad  \n",
       "0   4.133333        NaN  \n",
       "1   4.065574        NaN  \n",
       "2   4.000000        NaN  \n",
       "3   3.936508        NaN  \n",
       "4   3.875000        NaN  \n",
       "..       ...        ...  \n",
       "95  1.600000  15.024791  \n",
       "96  1.589744  16.551107  \n",
       "97  1.579618  18.485238  \n",
       "98  1.569620  20.251080  \n",
       "99  1.559748  21.901325  \n",
       "\n",
       "[100 rows x 9 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "import math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy\n",
    "from scipy.integrate import cumtrapz\n",
    "import matplotlib.ticker as ticker\n",
    "from scipy.constants import Planck, speed_of_light\n",
    "\n",
    "h = Planck #Planck's constant (h) in Joule seconds (J*s)\n",
    "c = speed_of_light #Speed of light (c) in meters per second (m/s)\n",
    "\n",
    "# Enable interactive plots in Jupyter Notebook\n",
    "%matplotlib nbagg\n",
    "\n",
    "# Set the path to the foldercontaining text files\n",
    "folder_path = \"C:\\\\Users\\\\w16025698\\\\OneDrive - Northumbria University - Production Azure AD\\\\PhD\\\\Characterisation\\\\EQE\\\\230221J_EQE\"\n",
    "file_name = \"230221J_A3_EQE.txt\"\n",
    "file_title = file_name.replace('.txt', '')\n",
    "\n",
    "# Solar Iradiance data\n",
    "solar_irradiance_path2 = \"C:\\\\Users\\\\w16025698\\\\OneDrive - Northumbria University - Production Azure AD\\\\PhD\\\\Characterisation\\\\EQE\\\\astmg173.xls\"\n",
    "irradiance_df2 = pd.read_excel(solar_irradiance_path2, sheet_name='SMARTS2', skiprows=1)\n",
    "irradiance_df2 = irradiance_df2.apply(pd.to_numeric, errors='coerce')\n",
    "irradiance_df2['Wavelength'] = irradiance_df2['Wavelength'].astype(float)\n",
    "\n",
    "# Read the data from the text file, skipping the first lines\n",
    "df = pd.read_csv(os.path.join(folder_path, file_name), sep=\"\\t\", header=None, names=[\"Wavelength\", \"EQE\"])\n",
    "df = df.apply(pd.to_numeric, errors='coerce')\n",
    "df['Wavelength'] = df['Wavelength'].astype(float)\n",
    "\n",
    "# Sort the dataframes by 'Wavelength' column\n",
    "irradiance_df2.sort_values('Wavelength', inplace=True)\n",
    "df.sort_values('Wavelength', inplace=True)\n",
    "\n",
    "# Define the intervals based on the 'Wavelength' column in the main dataframe\n",
    "intervals = [(df['Wavelength'].iloc[i], df['Wavelength'].iloc[i+1]) for i in range(len(df)-1)]\n",
    "\n",
    "# Sum the 'Global tilt' values within each interval\n",
    "merged_data = []\n",
    "for interval in intervals:\n",
    "    lower_bound, upper_bound = interval\n",
    "    subset = irradiance_df2[(irradiance_df2['Wavelength'] >= lower_bound) & (irradiance_df2['Wavelength'] < upper_bound)]\n",
    "    global_tilt_sum = subset['Global tilt  W*m-2*nm-1'].sum()\n",
    "    merged_data.append([lower_bound, global_tilt_sum])\n",
    "    \n",
    "# Create a new dataframe with the merged data and append the EQE dataframe df to it\n",
    "merged_df2 = pd.DataFrame(merged_data, columns=['Wavelength', 'Global tilt  W*m-2*nm-1'])\n",
    "merged_df2 = df.merge(merged_df2[['Wavelength', 'Global tilt  W*m-2*nm-1']], on='Wavelength')\n",
    "merged_df2 = merged_df2.apply(pd.to_numeric, errors='coerce') \n",
    "\n",
    "# Apply moving average filter to EQE data\n",
    "window_size = 25\n",
    "merged_df2['EQE_smooth'] = merged_df2['EQE'].rolling(window_size, center=True).mean()\n",
    "\n",
    "# Calculations of Photon count, Integrated Jsc and gradient for bandgap\n",
    "merged_df2['number of photons per m2 per second'] = merged_df2['Wavelength']*merged_df2['Global tilt  W*m-2*nm-1']*0.000000001/(h*c)\n",
    "merged_df2['Jsc (mA/cm2)'] = merged_df2['EQE']*merged_df2['number of photons per m2 per second'] *0.001*1.6E-19\n",
    "merged_df2['Integrated Jsc'] = np.cumsum(merged_df2['Jsc (mA/cm2)']) # Calculate the integrated Jsc\n",
    "merged_df2['hv'] = 1240/merged_df2['Wavelength']\n",
    "merged_df2['grad'] = np.gradient(np.abs(merged_df2['EQE_smooth']), merged_df2['hv'])\n",
    "\n",
    "# Plot the data\n",
    "fig = plt.subplots()\n",
    "plt.scatter(merged_df2['Wavelength'], merged_df2['EQE'], s=2, c='r', label='EQE Raw Data')\n",
    "plt.scatter(merged_df2['Wavelength'], merged_df2['EQE_smooth'], s=0.5, c='b', alpha=0.5, label='EQE Smooth')\n",
    "plt.xlabel('Wavelength (nm)')\n",
    "plt.ylabel('EQE (%)')\n",
    "plt.legend()\n",
    "plt.title(file_title)\n",
    "plt.grid()\n",
    "\n",
    "merged_df2.head(100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59a51b9b",
   "metadata": {},
   "source": [
    "## Spectral Irradiance Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "97f71a2d",
   "metadata": {},
   "outputs": [
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       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.subplots()\n",
    "plt.clf()\n",
    "plt.plot(irradiance_df2['Wavelength'], irradiance_df2['Etr W*m-2*nm-1'], c='k', label='AM0')\n",
    "plt.plot(irradiance_df2['Wavelength'], irradiance_df2['Global tilt  W*m-2*nm-1'], c='r', label='AM1.5')\n",
    "# plt.plot(merged_df2['Wavelength'], merged_df2['Global tilt  W*m-2*nm-1'], c='g', label='AM1.5')\n",
    "# plt.plot(irradiance_df2['Wvlgth nm'], irradiance_df2['Direct+circumsolar W*m-2*nm-1'], c='r', label='Direct+circumsolar')\n",
    "plt.xlim(400,2500)\n",
    "plt.xlabel('Wavelength (nm)')\n",
    "plt.ylabel('Spectral Irradiance (Wm$^{-2}$ nm$^{-1}$)')\n",
    "plt.legend()\n",
    "\n",
    "save_dir = \"C:\\\\Users\\\\w16025698\\\\OneDrive - Northumbria University - Production Azure AD\\\\PhD\\\\Characterisation\\\\EQE\"\n",
    "if not os.path.exists(save_dir):\n",
    "    os.makedirs(save_dir)\n",
    "\n",
    "# Save the plot as an image file\n",
    "plt.savefig(os.path.join(save_dir, \"Spectral Irradiance\" + '.png'), dpi=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86826fe7",
   "metadata": {},
   "source": [
    "## Band Gap Calculation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b181bc41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximum d(EQE)/dE value in masked data: 191.94894538709377\n",
      "Electronic Band Gap: 1.1324200913242009\n"
     ]
    }
   ],
   "source": [
    "# Masked Data\n",
    "x_min = 0.8\n",
    "x_max = 1.4\n",
    "mask = np.logical_and(merged_df2['hv'] >= x_min, merged_df2['hv'] <= x_max)\n",
    "hv_subset = merged_df2['hv'][mask]\n",
    "deqe_subset = merged_df2['grad'][mask]\n",
    "\n",
    "# Plot\n",
    "fig, ax1 = plt.subplots()\n",
    "ax1.scatter(merged_df2['hv'], merged_df2['EQE'], s=2, c='k')\n",
    "ax1.set_xlabel('Energy (eV)')\n",
    "ax1.set_ylabel('EQE (%)')\n",
    "#ax1.set_xlim(1.0,2)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.scatter(hv_subset, deqe_subset, c='r', s=2, alpha=0.5, label='d(EQE)/dE')\n",
    "ax2.tick_params(axis='y', labelcolor='red')\n",
    "ax2.set_ylabel('d(EQE)/dE')\n",
    "ax2.set_ylim(20, 700)\n",
    "#ax2.set_xlim(1.0,2)\n",
    "\n",
    "# Calculate maximum deqe value and it's index in the masked data\n",
    "max_deqe = np.max(deqe_subset)\n",
    "max_deqe_index = np.argmax(deqe_subset)\n",
    "\n",
    "# Get the corresponding hv_subset value\n",
    "band_gap = hv_subset.iloc[max_deqe_index]\n",
    "\n",
    "# Print the maximum deqe value and its corresponding hv_subset value\n",
    "print(\"Maximum d(EQE)/dE value in masked data:\", max_deqe)\n",
    "print(\"Electronic Band Gap:\", band_gap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9739bbc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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v9TihSZv2DBpRNqTOXOKa+8K+eJhskVzB5nL9cHLNdMCoP13Ie1d48ay+Le/lcV8qC8NukotVnEJQ8z38QUv1QB6UAkErd3NN99sWD7RmTQOYLQvp556qjl8aWhmOnbsqEEgJTYTr/yO8nDo06ePvPLKK8asixkXwsbXY6mgjly85s6dK9zjvffeq/cRhAT+4he/kD/84Q9yeYzpDWI+DypyO59lqxyAU4UXPnrnnivy+ON1ptrcIIxcM639/0IRpTYIIxcMG0BhiV6+Hx3+dVtvLXLeeSXNq6nCqpzJrvA1vuDlmw9/ITGqaRPw4sWLjY3/d7/7nVx66aXLjZ9o3+HDh8sdd9wh6623nsnZhq+WpoEpvtv4sjEUQmCvvfaSZ555pl5zd/TRRweStny8bOqYW265xfgIIp80yCSR5z5HCPssW+Wc76nAywZnPPCAyNSpdUEU1kRrgzCKae/yNYCQPK7lurZtl0+AHJLoFcMxFViVM8lVusYXvJQA1rgG8Pnnnxf8/yB15PrLbTYRNNrB3ETQm2yySehl55sA+bIx5AsAZl8+Egj8IEr8iCOOMHkjg9K5FMPrj3/8o4k0nzFjRj0JRBOIOdhXTaCvshV6s8nrWFW8conft9+KLFxYFySRa761QRjFtHf50aARSV4pHKuKVbkTXMXrfMHLt/PbOw1g0mvINwHyZWPIl5sdd9zRmH8x/eK3R5WPMEStGF5WE0jwEH+3mkAiio877jgvNYG+yla5e1RV8CpE/CB/JFcmZQcNky/aPVKe8JMgsQuLXVWwCvtyKeznC16+nd9KAGNebL4JkC8bQ66YELSBpg8fUcoLLly4UNZff315MURG+iC80AQSWIIm0FatQcOIb2EYghmzOFf1dkFYVfXlUvjwiuJVivjNm1dntoX08ecvfpFI3dYoU1BRrKK8aEqu9QUv385vJYAxLzDfBMiXjSFXTG6//XZjmiXtCymDIICYgMMQtCC8cjWB+ARaEuijJjAIq5iXbuZvVxG8whA/SB8psPr2DQzGqBboFcGqWoNL4Lm+4OXb+a0EMObF4psA+bIxWDGZOXOmqRjz3XffSZcuXczfSewcNlgjLF6FNIHkrVx11VWlb9++oZ8Xs3hX9HZhsaroS6X4YYniVSPEz05folilWEbKfTVf8PLt/FYCWO6KyLuOShD8YBacOHGiN4kkfdkY7HQfeOCBJn8k6VrI+XfUUUeF0vy5Hjy5msCffvrJaBlppC3C5zCsxjEm8a7KbXyTraggJ4JXjRE/13UYdU5q5fpEZCuF4CgBrPEo4KRlzjcB8mVjsHID6cM/j/yQaOTC+v6Ve/BYTSAZ6m1gCGXmKB2HGTqs5jFpuU/i/r7JVlQME8Hrj38UGTlSZOZMEepZE9xhffwyYOothmkiWEWdwBRf7wtevp3fqgGMedH5JkC+bAyICfWdqSBD69Spk/nTVRPnipfVBN5///1CmULrEwgJtOlnwvgexizmFbmdK1YVeakUPyRWvKzm77bb6ogfqVtmzKgL6sgw8Sv3QyzF016RV4tVtiryxuU9xJ7f3bp1M7XtBw0aZH58ajWdCDrpiVQCmDTC1bv/n/70J1MVZq211hI2iM0339xZA1fuRgoRvOiii+SGG24wpeNoaCApP1ermsBysaqehFT3ybHhBfnr00fk/ffryq9RrcPm7kt5cEfYGYgNq7APzHg/X/Dy7fxWDWDMC9M3AfJlY5g+fbohfpRvo340qVqCkj4XEq2oeJ1++uly4403ypylOdYggSSMdtVExiz2idwuKlaJvFSKbxoZr1x/v//9r26k5PAjgXPr1iL9+qU2qtd1WiJj5frAjPf3BS/fzm8lgDEvTN8EyJeN4be//a088cQTzomf88UrKl5WE0jA0Tx8sYR0a02kefPmRiO57bbbOmslY14Csd0uKlaxvUhGbhQZr1x/P7TMtnIHJt+TTxapodrUkbHKiEzE9Zq+4OXb+a0EMK4VsvQ+vgmQLxsDPn/ffPON8f3DN8Q1+MOKWVx4ERxy7bXXCvfLbbwbqWIOOeSQzBPBuLCKeYmn9nZl41XI349ybraCR48eIqNGibRpk9qxu75Y2Vi5PqhG+vuCl2/ntxLAmBeobwLkw8ZAGhbMrKRiIfqXFDDlmlzjwgtN4KabbipTpkypDwyxosz7kSrm6KOPdkpRE/NSiHy7uLCK/CIZuYEzXvkpXiB8c+fWnL9foelzxiojMpDUa/qCl2/ntxLAmFeMbwLkw8ZABO6hhx5qom632GIL81Nu+pU48UILOHLkSJk9e7b5oS3BaX9pI1XM8ccfL+eff35Z/ooxLw3n28WJlfPDM3iBM175KV46dKgjgM2a1ZS/nxLA6MLsLFvRH1mVO/h2fisBjFnMfBOgWt8Y0LRttdVWMn78eOnZs6c8//zzkchUnHjZFDHjxo0zBPDrr78W8gWSjNzmDMQ/ELP1YYcdVjZpjXmJhL5dnFiFfmiGO4bGq1iKF4hfu3bkNqopfz8lgNGFOrRsRX9UVe/g2/mtBDAmcdNKIHsZ37haa6eccopcd911Zljt27eXP/zhD5HMqklupLnVQ4gShgjalkXfwCSxqjU5ZTyBeHls8s2f70CsalFAIozJF7yUAGolkAjLRMQ3Aar1jaFHjx7y/vvvm5x7q6yyimywwQby4osvli0jlcDLmoapV1woSIRqJp07dzY5BF3qGJc96DIvrARWZb5aKi8LxMtjk68SwGgiGyhb0W6fmqt9O79VAxiz6PkmQLW+MWy55ZbyzjvvGLLUunXrsoM/rJhVAi+rCXzggQeE/IVoAm0FkVxxp64wJmICW9IYNVwJrGJe/lW9XVG81OTbYF5UttxE1Re8fDu/lQC6rYPA3r4JUK1vDBtuuKF88sknJuJ2zz33jOxHV0m8whJBoobRbh555JGRzNuBi8OxQyWxcny1VHZvgJeafIvOk8qWmwj7gpdv57cSQLd1ENjbNwGq5Y2B2ruYSiFIBFfgAxi1VQOvXCLIOGhUNKHZqGHGSDLp7t27G21hixYtzJ/8HxpEag9Tgq7Yn0mYk6uBVdT5reb1DfBSk68SwJgE0pe16Nv5rQQwpgVib+ObANXyxvC3v/3NmHyJAibSNo5WTbwKRQ1Dcm3EcJjxQRQhjY0bNzbX2T8xJfP/kOSNN944Ft/CamIVBou09anHa/vtpdmll4rcdhuRIXV5/WbMqEvv4kmUb9DcqGwFIbT8733By7fzWwmg2zoI7O2bANXqxgBZ6tWrl3z00UeyzTbbyAsvvBAp/YsVnDThZZNJf/XVVybJdW4OwUBBL9EBkggxbNu2ramfTM3kcoJN0oRVFDwqda3F6zdjxkiTv/9dhNyQ1IyGAJIfcuWVRfr2rZl6vlFwVdlyQ88XvOz53a1bN5PVYtCgQebHp9ZoSVwngU+oLR2rEsDamPTTTz9drr76aqPlIgH0scceG4t/XNo20txk0qSOQZOH6RcCx5+5/87V+EHy+LfVCJaade7FD0SQMnVUKSGnYlAy7bRhlXbJBq/nH3pI9jrzTGn0zTd1pdsggCusUPOJnV3nRmXLDTFf8PLt/FYNoNs6COztmwDV6sbQu3dvef311w3BWX311SOnf0mjBpB3yjcLB/n6Ffr9hAkThJQzNDSJlhyWWiwQS8rrde3atWg6mlqVrcBNpMwO4PX5wQdLtxdekEbz5tXdpXlzkRNOqPnEzq6QqWy5IeYLXr6d30oA3dZB0d6aCLq2EkH/5je/kaeeesrk/4OolFv7N19ganEjLeRbCCGECKJVpGFUKKYtJOAE7WA+xrWIVUzbTcPb/PijLBoyRBbdfLOQjr1Ry5awe5FOnUQ++KBOG6itHgGVLTdh8AUvJYCaCNptZeT19k2AanVjGDhwoIwYMULWWGONWHPk1SpeucsgiBAW0hCiESSSeMCAAfWmYR+wirTZ5F78xz/KkpEjZeEPP0jTBQvqCGCrVl6UdSsHQ5UtN9R8wcu381s1gG7rILC3bwJUqxsDQQtvvfWW3HfffYYAxtVqFa9S+BQjhGgFbToaez2+gptttpm8/PLLJhXN008/LXvtVVva5bhkydwnJ8nzkp9/lh86dJC2M2ZIIyJ++/XTgI8iYPu4DqPInS94+XZ+KwGMsioKXOubANXixgApwSSJP9vnn39uIlnjarWIlys2+YTw008/lZ9++mm5KOSVVlpJ1l9/fTn33HPljTfekLPPPjuWKGzXd019f5vrb/ZsWTJnjixcYQVp2ratNDriCPX7KzF5ug7dJNsXvHw7v5UAuq2DwN6+CVAtbgyvvvqq7LDDDrLaaqvJlClTjO9aXK0W8YqKDZHI1157bcFUNHvvvbcJxoEQ9u3bNzByOOq7ZOb6/PJua68tSyZNkp+XLJEmAwdKkwsuUL8/JYCxibMv+5Zv57cSwNiWSN2NfBOgWtwYrrjiCoGU7L///vLII4/EKiG1iFdUgNAI9unTR95///3lSGBuNipMw0QgU7JOiaCI5Gj+TKqXli1lSatWMmHbbaXrgw+aHGbaiiOg69BNOnzBy7fzWwmg2zoI7O2bANXaxgAZofLH+PHjZccdd5QnnngiVtNjreEVuCBCdihUro48g5jfMRHbRrAIeQTTVrc45DCjdyug+ZNJk0yVj0XHHCPPbrWV7HHQQUoAA5DWdegmir7g5dv5rQTQbR0E9vZNgGptY0Dzd9VVV5kkx6R/6devXywJoK3g1BpegQvCsUOufyBYMR+QvVwfQUggJmGScwclk3Z8fHq7W+L3wAMi1HPGLYF6zjnRvj8PG6ZBMyFnUNdhSKCWdvMFL9/ObyWAbusgsLdvAlRrGwO+f/gA0kgAveGGG8qLL74YOO9hO9QaXmHHXU4/ixVBIPfcc498/fXXwv/R8MvEJNyxY0c/TMLW5DtzZl193w4d6ghgTrTvzxo1HVrMdB2Ghsp09AUv385vJYBu6yCwt28CVGsbw4EHHmj8/po2bWpMjXElgFYNYODSadAhV7aIzL744ovl5ptvXk4bmNQ8ub9tQlfkm3yp6ztjRh3xa9duuTx/tbYWE0LUK0ITF4a+yJZv57cSwJhWiFYCqY1cbZgUL7nkElOz9ve//33sJkZfNtI4llUhrDAJ33XXXfLtt9/Wp40h4IEk0jVpEs4P9oAALlkisvLKIn37LpfnT2UrvNQpVuGxUg2gG1ZZ791oSW74XdZHU+H39+0LotY20gMOOEAeffRRufLKK+W0006LXXpqDa/YAcq5YSGsrI/g/fffL1999ZWJGqbVXJRwiWCPYgmeVbbCS6NiFR4rHwlgt27dTCDVoEGDzI9PTQlghNlWAhgBvBRc2rVrV5k8ebKMHj1adtppp9jfSA+e8JCWwsoSwRtvvFFmz55df1M27fbt28duug//1jH1LJDmJai0m8pWeOwVq/BY+UgAv/zyS+nSpYsbSDXSWwlghIlUAhgBvCpfOmPGDFkZ05qIzJw5U9q2bRv7G+nBEx7SMFhhEr799tvlu+++q78xfoEk8f7www9jTeET/s0j9CxD82efFgavCG9WU5cqVm7T6Qtevp3fhaRACaDb2liut28CVEsbA9G+u+++u6D+Jw9gEq2W8EoCn9x7hsHKagKJEsYkbL1XiBKGBB522GGx+3EmNm7IX58+Iu+/X+fnt2jRcmle5PLLSz46DF6JvXvGbqxYuU2YL3j5dn57RwAp7XXmmWfKM888YwrRd+/eXW677TbZcsstDRYcIEOGDJERI0bI999/Lz179hQCPDbeeONQK8Y3AaqVjQEisc8++8iYMWNMDdqxY8cmoj2qFbxCLYaInVywYv422WQTmTp1qiyCOC1tSeRyjDishpfn5vj73//qfk+ev8aNRVq3lmI+f/k3csEr9jFk7IaKlduE+YKXb+e3VwQQQrf55pvLLrvsIscff7zJITZx4kTB72vdddc1WFx22WUydOhQufPOOw05JCIUUkA1ApLPBjXfBKhWNgZMiddff73Mnz9fWrduLccoVLEKAAAgAElEQVQdd1ysCaCt3NQKXkHrII7fu2LFHI4cOdKYg7nWtjZt2siAAQPSpwnMT+5MQMuCBXXEj9a0qcjJJ0uQ5k9ly13aXGXL/Qm1dYUvePl2fntFAP/0pz/Ja6+9Jq+88krB1Yn2j+S/gwcPNlpCGoSgU6dOhhgOHDgwcFX7JkC1sjHstttu8vLLL5uoUvwAe/ToEWsCaD2kA5dOgw6uspVbTm769Olm7VLRBXMwOR2PPvroREi988gKET/IX/Pmdcmd0f41aSLSo4fIqFEibdqEeoQrXqFuWqOdFCu3ifUFL9/Ob68I4EYbbSR77rmnMMkc9p07d5YTTjhB+vfvb3D47LPPjCbwnXfeMZpC2/bdd19p166dyT+W3zhk+LENEzPPmTRpkrl/rTc2hhdeeMH4zmW5AD0fB5SAoxH9dfjhh5vEw3G3WsErblwK3a9crGbNmiV//vOfjRaffIGYhCkfB7GHBJ5xxhmhtPmxj/HHH6XxsGHS+MEH65I5Q/os8Zs3r07jx0+HDrL44INl8dlnhyZ/vGu5eMU+zgzcULFymyRf8OL8XnvttUWjgN3kIxO9m/OFLWLyux188MHGzwttH9UFqDf6+uuvS+/evQUhQBNoG+YjUoM899xzDcZ54YUXGp/B/HbrrbfWR5RmAhzPX3LChAly+umnG78/iD5aI23ZRwBNIITPun+cddZZssIKK1R0YE3nzJHu998vnV97TVaYNUsaLVpkfhY3ayaNf/5ZljRuLEuaNpX5K60kU3v3lv8ecogspMavNkVAEagoAnwwklBeCWBFYa/Mw9j4t9pqK0P0bDv55JNl3LhxQr1RSwBxJCeC0DY0hAjEs88+2+BFVQNYGxpASB/zvPPOO8vzzz+fmED68iUdB4BRsbKaQD7GSPFDs6XjKqIJTFjjl49xVLzimLOs3EOxcpspX/By1gAOHy7yyCMin3wiQpWeXr0IJBBZf/1lABPRj5JoxAiR778X6dlT5C9/EQkZWOo2U9F712wamLXWWsuYKjkQbCORLIEeTHw5JuB8uH3zIagV3xC0wldffbWccsopcs0110RfRUXuUCt4JQZQzo3jworgECL90QLSEvcJLOXjl2vqLVDOLQquceEV5R2ycq1i5TZTvuDlfH7/6lcihx4qsvXWde4c55wj8sEHIh9/LCZxOw1COHSoyJ13inTvLnLJJSJjxoh8+qlIiMBSt5mK3rtmCSA5wdDk5QaBnHrqqfKvf/3LaP9sEAj/h9mItmDBAhMtrEEghQWrVjYGPgzIA8jHQb9+/aKvIiWAkTGMS7ZscAipndAKss4hgZj70fpS/5m/x9ZsFY+ZM3HMqwvuSJD42feOC6/YcEjxjRQrt8nxBS9nApgP4/TpIh07irz8ssiOO9bl88SdbPBgkaWBpULMQKdOdcQwRGCp20xF712zBBBTb69evYzPXt++fY0PIAcABwNO/3Vk/TIZPny43HHHHbLeeuvJsGHDTFkwTQNT2wRw1VVXlWnTppmPgW222Sb6KlICGBnDuA8dNIEEhmAOtiQw1ujg/CoemIQwPdvgjpg1fvkAx41X5AlM8Q0UK7fJ8QWvyARwwgSR9dar0wJusgmRpSKkmHvnHZGcwFLZd1+Rdu1ECgSWus1M/L1rlgAC1ZNPPik4glPpgWgfTH82Cpjf20TQBIbkJoImyWyYFlmAwjwkRX1qYWMgUAAtL1ohNEStrOo+AZxrAa8EYCl4y7ixsprAW265Rfi7JYHk94wlT2B+/V4IIBqAhImfagDdJTJu2XJ/g2xd4Qte9vz++OOPl8viseKKKwo/JRtrHWKHq4lNNUe8Qe/eIlOm1GkCbRswQGTyZJECgaXVloyaJoBJg6sEMGmE47//P//5T+nTp49JAUQ0cJLNl400DgyTwqqQJrB9+/ZyzDHHlJ8nEO3fppuKTJtWl7plzhwRoo1xJzjvPKd0LuVilxRe5b5Pmq9TrNxmxxe87Pmdj84FF1wgZPwo2QYNEnnqKZFXXyWXWF1XSwCnThXJCSwVUs99+aVIgcBSt5mJv7cSwAiYKgGMAF4VLkUTtN9++8lLL71kagC//fbb8fqD5Y3Jl400jqlMCqtYNYG5AR9s8osX1w0dv78TTghdxSPNeMXxbmm7R1KylbZxxvU+vuBVtgbwpJNEHnusLrhj7bWXwa4m4LhEMBv3UQKYjXmyb4k26IYbbpB58+YZ0y8lAi+//PLEBuHLRhoHgEljVUgTiJkHdwB8hEMFh+QGfFDGDbMvtYhx8sYPKM7gkgBQk8YrjjlNyz0UK7eZ8AUv5/Mbsy/k79FHRUaPrvP/y202COTUU0WWBpaaco8EimgQiJsQZqG3swBlYVAl3jHrGwMl4Kj1zDgwA1IBhmjgpFrW8UoKl0L3TRqrXE0gvp+UjaORL/QXv/iFHHHEEcU/BooFfDRrVufcfcQRFdX+8d5J41XJuU/6WYqVG8K+4OV8fqPlv+cekccfXz73X9u2dR+DNIge+QLvuKOOIA4bVkcWNQ2MmxCmufdf/vIX4Ye0MRMnTvQmk3jWNwaqf1ACjoAAIkIj+YGFENCs4xViiLF1qRRWhTSBJIwmGfwHH3xQ2CWgygEf1SDMsU1sCm5UKdlKwVBjeQVf8HImgMUqRkH2jj66DnubCPrmm5dPBB0ysDSWCXS4ifoAOoCV39VZgCI8Kw2XZn1j+Pe//220fo0bNzZlAXH2jTUnXN4kZR2vSspcpbCymsB7773XJIS3jdKRJ5544vJawHzNH/4+kyaJoPmrYMCHEsBoklgp2Yr2lum52he8fDu/C0mYEsAI6843Acr6xvDYY4/J/vvvb0jgO+RqSrhlHa+E4Vnu9pXGCiK40UYbCaUgi6aIydf8UbOXtEFVMPnmz0Wl8aqkLMT9LMXKDVFf8PLt/FYC6LYOAnv7JkBZ3xguvvhiOf/88+XII48U6gEn3bKOV9L45N6/GlhhDkYOSBaNT6AtGzfwd7+TS8gDdtttddU9UqT5s5hVA69KykOcz1Ks3ND0BS/fzm8lgG7rILC3bwKU9Y2BaM8HH3zQmPnwB0y6ZR2vpPGpNgEsFBgCCbymWTM5umlTWalRI2k0d65IijR/SgDdpVLXoRtmvuDl2/mtBNBtHQT29k2Asr4xbLjhhvLJJ5/Is88+K3vuuWfg/EbtkHW8oo7f5fpqYmUDQxZ8+62cKyJUh24mIrNWXllWp65vCnz+1ATsIk3L962mbJX/1tW70he8fDu/lQDGvKZ8E6Asbwzk/mvdurUsWrTIOP+vnluqJ2a5UC2NO6DVlC2rCexy7bVyyM8/S0sRaSUi8xs3lparrJIKnz8lgO4ypeuwPMyquRbLe+PyrvLt/FYCWJ6cFL3KNwHK8sbw7rvvyhZbbGHy/3377bfG3yvplmW8ksYmjYRm/FprSYsvv5RvliyRbiKyUETe32or2eLRR6WNLfdUaWCKPE9lK/xEKFbhsaKnL3j5dn4rAXRbB4G9fROgrG4MaHgOOeQQY/rt0qWLfPTRR4mmf1HNQ+DSadChqrK1NN3L4vvuk5+//lpmLFokjf4/CfybiFzSpo0MGDAg0Yox7mj5c0iXg00aPy7iGEel7lHVtVipQYqIb+e3EsCYhEsTQe8lzfCLykjDx+uvf/2rzJkzR1q0aCGDBg2qyIHuy0YahxhUFSub7qVJE5GZM+XrRYvkvsWL5fyff5ZZIsZ14LjjjgtXLi4OMELco6p4hXi/NHVRrNxmwxe8lAAKH7qkrtZWDgK+CVBWNwZKwL366qsyf/58adeunWy55ZaJloBTDaD7aqqKbOUneu7WTeTbb2V848ay/bx58t1338nChRiCpSKVY1xQqwpeLi+Yor6Kldtk+IKXPb+7detmFBooBvjxqSkBjDDbSgAjgFfBS9EAUgKOXG/Ufe3Xr59qACuIf5hHVeXQKZLoeX7fvnLuiivKrbfeKrgP2ByBVI3p379/KjSBVcErzESmsI9i5TYpvuDl2/ldSAqUALqtjeV6+yZAWd0YJk2aJOuss46Zu5NPPllICJ1kCTjVALovqqrI1m671RVpX3llkQkTGqR7sYmiCRrCUEIJQWpIH3XUURX5gCiFYlXwcp/WVFyhWLlNgy94+XZ+KwF0WweBvX0ToKxuDC+99JLsuuuuhgROnDgxcF7j6pBVvOIav8t9Ko4V5t8+fUTef19khRXqkj0feaTI5ZfXv7ZNDzNixAijCaQ1adJEVlppJTn22GOrqgmsOF4uk5myvoqV24T4gpdv57cSQLd1ENjbNwHK6sZw7bXXyuDBg2W//faTRx99NHBe4+qQVbziGr/LfSqOFeZfygFS6WP+fJEePURGjRJp06bBa6MJvP32241PoCWBaAIpKUhVmWq0iuNVjUHG9EzFyg1IX/Dy7fxWAui2DgJ7+yZAWd0Y0NbcdtttRmNz0UUXBc5rXB2yildc43e5T8WxsubfTp1Epk0TWX99kRdfLPjKVhN40003yU8//WT6NG3a1EQHV0sTWHG8XCYzZX0VK7cJ8QUv385vJYBu6yCwt28ClNWNYZtttpFx48aZOsAHHXRQ4LzG1SGreMU1fpf7VAwrG/n7wAMm4lfatRNZtChUtQ80gbfccov88MMPZmgrrLCCCSo64ogjKq4JrBheLpOY0r6KldvE+IKXb+e3EkC3dRDY2zcByuLGQOk3fLbmzp0rn376qXTv3j1wXuPqkEW84hq7630qhlVezj8TANK3r8h55xU0/+aOw2oCbU5Jqsl06tRJNt5444qkFcp9l4rh5TqRKeyvWLlNii94+XZ+KwF0WweBvX0ToCxuDOPHjzekjwTQs2bNMk78lWpZxKtS2OQ/J3GsiuT8K2X6LYbF6aefLtddd50pmQUJJK/kqFGjKhJZbt8pcbyqJQgJPFexcgPVF7x8O7+VALqtg6K9tRJIdiqBjBw50jjrowUcOHBgRSM3fdlI41hWiWNVJOefHHHEcpG/YcaCJnC77baTjz/+2HQnuTi+gJUMCEkcrzBAZKSPYuU2Ub7gpQRQK4G4rYy83r4JUBY3hl69eskbb7whLVu2NCSwkv5aWcQr0oKIcHHiWAXk/HN9darLvPnmmzJ79myTHxA5e+WVV1xvU3b/xPEq+83Sd6Fi5TYnvuDl2/mtGkC3dRDY2zcByuLG0LFjR5k+fbp06dLFzOf6669fMX+tLOIVKPQJdUgMqwhBH6WGapNEf//996ZcHAEhJ5xwggwZMqQipuDE8Epofqt5W8XKDX1f8PLt/FYC6LYOAnv7JkBZ3BiI0pw5c6asvPLKxv9PNYCBYl2VDonJVoSgj1JA2ICQv//97/LVV1+Zrs2bNze1RK+44orEMUwMr8TfvPIPUKzcMPcFL9/ObyWAbusgsLdvApS1jQHzHGZfynjtsMMO0rNnT/UBDJTq6nRITLYc8v2VM3JMwe+9955QLo5GsBEkkJyTSZYbTAyvckBI+TWKldsE+YKXb+e3EkC3dRDY2zcBytrGMHbsWEP6SNXx9ddfB85n3B2yhlfc43e5X+xYJWT6zR8TpmACjTAFL1iwwPy6EkEhsePlMlkZ66tYuU2YL3jZ87tbt27SrFkz8+HGj0+t0RLUI9rKQkAJYFmwVeyiW2+9Vfr37y+77767PP/88xV7rn2QLxtpHMDGjlVCpt/8sVpTMLJGlRD8AWlo/wYMGJCYJjB2vOKYxJTeQ7Fymxhf8PLt/FYNoNs6COztmwBlbWM45ZRTTL620047Ta688srA+Yy7Q9bwinv8LveLHauETb+FNIF33323MQUvXrzY5AfE7/Soo45KJD1M7Hi5TFbG+ipWbhPmC16+nd9KAN3WQWBv3wQoaxvDLrvsIqNHj5Y777zTHMSVblnDq9L45D4vNqwqZPotpgmkVBxaQQwrpIdBE5hEveDY8KrmpFfo2YqVG9C+4OXb+a0E0G0dFO2tiaDTnwiaA3iVVVaRGTNmyDvvvCObb755TLMf/ja+bKThESneMzasKmT6LTYSfALvuOMOI3e0pk2bSvv27U0y8jgTRceGVxyTl/J7KFZuE+QLXkoANRG028rI6+2bAGVpY6Du7wYbbGBMcZiCK5WfLRGtViQpzcbFkWUrxlJvURCzPoE33XST8Qmk4WDeunVr6devX2w+gZHxijLIjF2rWLlNmC94+XZ+qwbQbR0E9vZNgLK0MRx00EHy8MMPGw1Mhw4dKpr/zwpOlvAKFPaEO0TGKsZSb3EMFU3giBEjjDmYRqJoclLGlYcyMl5xDDIj91Cs3CbKF7x8O7+VALqtg8DevglQljYGQvsnTpxoDt1WrVpVtAKIEsDApdOgQ2TZirnUm/sIlr/CagJxF5k7d675JbK4xRZbxFKJJjJeUQeYoesVK7fJ8gUv385vJYBu6yCwt28ClKWNgZJv//3vf6Vt27amQkNcmpdAocjpkCW8XMaVRN+ysapS0EdYDE4//XS58cYbZc6cOeYS/FIJSIqaKLpsvMK+eA31U6zcJtMXvHw7v70igBdeeKHx+8ptuQmBCRLg95hpSOJKwmC+1jfeeOPQq8U3AcrSxrDOOuvIpEmTTPBHnz59Ih+4oYVCCWA5UEnZslXloI+gwaIJvOiii+pJID6pBIUcc8wxkYJCysYr6IVr8PeKlduk+oKXb+e3dwTwoYceWs7cQi1YvsBpl112mQwdOtSkCOnevbtccsklMmbMGCF4gPJhYZpvApSVjYHav5jbaERjcuBWo2UFr2pgk//MsrGqcL6/crHadddd5fXXX5f58+ebwCTSw5CkvFxNYNl4lTuADF+nWLlNni94+XZ+e0cAH3vsMfn3v//dYNxo/1ZffXUZPHiwnHnmmeb3bMxoCCGGAwcODLVifBOgrGwML730knDgdu3a1WgBq9Wygle18Ml9rjNWKTf95mNKUMhdd91lEkWz//AxSnBSuelhnPFKwyRX6R0UKzfgfcHLt/PbOwJI3i18wFZccUVj4h02bJhgGvzss89k3XXXbZAfbt999zV1PNmowzTfBCgrGwNVP/C9OuCAA0wkcLVaVvCqFj6RCGDKTb/5mNqgkJtvvllmzZplfh0lPYzKVnipVazCY0VPX/Dy7fz2igA+88wzxvEa8+60adOMifeTTz6Rjz76yJh5e/fuLVOmTDGaQNuo3Tl58mR57rnnCq4YtIT82Mb1G220kdEyde7c2W2VZbA3G8MLL7xgautyeKW1oVW57777jI/nWWedVbXXzApeVQMo58GuWDXZc0+R//5XpFMnkWnTRLp3l0VF1m0axmffAZPvbbfdZjSBNNxNcFE49NBD5eKLLw79qq54hb5xDXZUrNwm1Re8OL/XXntt+fLLL6VLly5uINVI70ZLsEd40GbPnm20fmeccYZsu+22hgBOnTpVVltttfrR45ODMDz77LMFESkUWEJHCsFT91NbOhAYNGiQIffnn3++SbuhrbYQaDpnjmx3/vnS9vPPZXHTprJoxRXly513lo+POSYzAx05cqTRTpMfcPjw4WZv0qYIKAKVQ4CPMMo0kjIMhQbnBj8+NW8IIJOK5orJxh+nHBOwagDTrwGE1OP7RzvxxBONFjBsUE/cC9+XL+k4cHPBqvGf/iSNR44UIb/e/PmyZLPN6rR/bdrE8SoVucc555wj119/vcybN88EhWy11VbmwzOsrLrgVZEBpfghipXb5PiCl2oAPSoFB3mD9GHmxQyD6ffUU081GkHaggULpGPHjhoEUmKvyIJvyO9+9ztj/m3cuLGJ+K5G/j8LYRbwcjsakuvthFVGIn9LoYVP4E477VQfpIYm8KSTTpIrrrgiFMhOeIW6Y+12Uqzc5tYXvNQHsIYJIEEA++yzj6y55pryzTffGB/Al19+WT744ANZa621DNHD9ELh9vXWW88EiIwePVrTwGScANoKIATzUH+VhNAvvvii2w4YU29fNtI44AqFVcYif4Nw2W233eTDDz80+xOeOC1atDAmqDCpYULhFfQCnvxesXKbaF/wUgJYwwQQp2ry+mHnRxOE3x9O1gRt0GwiaKLychNBb7LJJqFXi28ClIWNwRLAalYAUQ1g6CVU3zGUbGUs8jcIBVxR8AUkb6UNLuPDBb8kMhiUaqHwCnoBT36vWLlNtC94+XZ+F5ICr3wA3ZZBcG/fBCjtGwOknmCc7777zvhU7bzzzqG0KcEzXV6PtONV3qiSuaokVlbzd9tt5KgQ6dZNhCja9dcXqZJ2Nw4UbGoYgsh++uknWbhwobkttauPP/74krKrshV+BhSr8FjR0xe8fDu/lQC6rYPA3r4JUNo3BtL7bLDBBqb27w8//GAiLKvZ0o5XNbHJf3ZJrKzmb/ZsEWrqtmwJSxI54giRAE1ZmsZY7F3QBN59992mas2iRYtMNyrZ9OvXr6gmUGUr/MwqVuGxUgLohlXWe6sGMMIMKgGMAF4Cl95+++3m0Nxhhx2M+b/aTQ+e8DNQEisb9EGqpQkTyKAs0q+fyHnnZSrytxgahTSBVArZfvvtjV9yoaayFZNshb+NNz19kS3fzm/VAMa8hH0ToLRvDJA/SCDl/S699NKYZ9v9dmnHy31EyV1REKsaC/oIQs+Wi8OFAU0gQUzHHXdcQVOwylYQmst+r1iFx0o1gG5YZb23agDLmMG//OUvwg+pYyZOnOhNJvE0b6RoUcjqzuG5//77y5133iltqpwXLs14lSH2iV5SEKsaC/oIAtBqAjEHExlMK2YKVtkKQlMJYHiElu/pi2z5psBRDWC5K6LIdb4JUJo3BtJn/PWvfzUzRdT3UUcdFRhJGbM4NLhdmvFKeuyu918OKxI8UxatxoI+wmJCepg333xTqF5UzBSsshUWTX+CGsIjUrqnL7Ll2/mtBDCuFbL0Pr4JUJo3hh49esj7779vAkCIBK5m/j8rZmnGK+alEPl2y2F19tkiVPqo0aCPILDCmIJVtoJQVA1geIRUA6i1gMuVFo+vUwKYnsnv2bOnjB07Vlq2bGnKaVWzAogSQHe5WI7Q/PrXIp9+KlKjQR9B6IQxBSsBDEJRCWB4hJQAKgEsV1o8vk4JYHomv1evXvLGG2/IhhtuKHvvvXdV8/8pAXSXCwjN8w89JL966y1p8tBDdXn+2rUTIS1KjaR7cUUl1xRMvWCSm5MkmkohVA15+umnZa+99jKF7LUVR0DJspt0+IKXb+e3moDd1kFgb98EKK0bA1UUOBz585NPPjHm3zS0tOKVBmzy3wGsPj/4YOn25pvSqEkTkZkz6zSAffvWTLoXV9ytKZhqRiQ5J68lQSFotyldqQQwHKK6DsPh5NuHqz2/qR7FRxR+5Pz41DQKOMJsKwGMAF6Ml+Iwv91220mHDh1k+vTpgrYkDU0PnvCzAFYzt9pKOsyYIY1XXVVk2rTMV/oIP/rCPa0pmOCmOXPmGLnu1KmTbLzxxvLMM88oAQwJsK7DkEAt7eYLXr6d36oBdFsHgb19E6C0bgxXXnmlnH766bLPPvvIP/7xj8B5q1SHtOJVqfGHfs6PP8qiIUNk/t13SwuIjuem33zckO3rr7/epJ1CC3jSSSfJ8OHDlQCGFDBdhyGBUgLoBlQN9FYNYIRJVAIYAbyYLkVLQt3f8ePHmwogTz75ZNXz//lmSok8lX/8oywZOVLmLVggzefPl0aem37z8UTGTzvtNJPkHFMwfq6//e1vjdZbfQCDpU8JYDBGuT18wcu381s1gG7rILC3bwKUxo0B7cjVV18tixcvDqyfGjihMXdII14xDzGe2+22myz+5BP5sXlzaTNvnjTeYAORF1+M5941dJfevXvL66+/Lo0bN5bOnTsbraASwOAJ1nUYjJESwC5uINVIb9UAljGRWgkkPZGH2267rfzrX/8y/lGrr766bLDBBvJiSsiDHjwBiyun1NuSb7+Vec2bS/NmzaSRp1G/QVvRrrvuampcUyaOYJA77rhDCWAQaKKJoENAtFwXX/Yt3xQ4qgF0XQkB/X0ToDRuDLvssouMHj1aVlxxRWnXrl0q8v+pCTjkQssp9bZk5kyZ07KlND/ySGlywQUiVS7jF3IEFe1GVPAtt9wiP/zwg3kuf58wYYKcffbZqXF7qCggIR+Wxn0r5KtXpZsvePl2fisBjHk5+SZAadwYyJU2atQoIZR/v/32S0X+PyWAIRfabrvVJXzu1EkWf/21zOjQQdq99ZbmtSsCH76AF110kdxwww0m5dFOO+0kn3/+uRx88MFVL3sYcsar0i2N+1ZVgAj5UF/w8u38VgIYcgGE7eabAKVtY5g3b54xhfHnBx98IJtssknYqatIv7ThVZFBh3lIjunXJnxesmiRTNh2W+n64INKAAMw3GabbWTcuHHG7WGNNdaQ9dZbLzVuD2Gmv9J9dB26Ie4LXr6d30oA3dZBYG/fBChtG8MLL7wge+yxh/H9Yy7Skv9PNYABSyfH9GsTPi866CB5dqutZI+DDlICGAjfHwU/5Llz55rShyeccIJqAEtglrZ9K/BgqXIHX/ByPr/HjBG5/HKRt98W+eorkUcfFdlvv2WzdfTRInfdtfzs9ewp8uabVZ7R4o/XIJAIU+MsQBGelYZL07QxYA7r06ePvPXWWyYxLtGRbVLmN5YmvNIgP/XvkGP6tQmff9bExqGnCNkfPHiwCQKhbbnlloIvLCXi0rYGQg8qwY66Dt3A9QUv5/P7mWdEXntNZIstRA48sDABJIH90nVpUF9hBZH27d0moIK9lQBGANtZgCI8Kw2XpmljwCH+mmuukYULF5oycP3790+dFiRNeKVBfsw7YP7t00fk/ffrNseWLUWOPFJ+1tJmTlOEbEH6XnvtNVMXGOJHibjL0VBoWw4BXYduAuELXpHOb6pNFdIAUsLyscfcAC/Rm7n4+uuvTSWgVVZZRdrHTCaVAEaYqkgCFOG51bo0TRtDr1695NSyvTwAACAASURBVI033jBQrLbaarLRRhulzg8qTXhVS2YaPBfzL2aSuXNF5s8X6dFDZNQo+blFC61s4TBJyBYl4tAE0lZddVWjCU9LCiSHoSTeVdehG8S+4BXp/C5GACF/fNhSzWinnUSGDhXp2NFpAn766Sf5+9//Lvfee6+MHTvWBHzZ1qVLF+P2NGDAANl6662d7luosxLACBBGEqAIz63WpWnaGIiAJCdaGtO/2PlJE17VkpkGzy1g/iXps2LlNkMWr0MPPdQEQaEFpJC9agAb4qiyVZ5s1XqScXt+f/zxxyaxum2cKfyUbIUI4P33i7RuLbLWWiKTJomcd57IwoV1PoNB91v6MIoaDB06VLp27Wqq/RDwxbuxvr/77jv58MMP5ZVXXpFHH31UyIFLMniCwMptSgDLQE4TQVc/ETTl395++21Zf/31TQ3gNPo/6cFTYHHZAJBmzcjQK7I06bNi5bYRWbxGjhwpDz/8sAmA6tevn1AXW/0Al8dSZas82fKFAOajc8H/z0N64YUXuhPA/CsIFIEM3nefyAEHhJoEUjqdf/75summm5bsj1bwtttuM7XBjz322FD3Vg1g2TAVvlA1gDEDGvJ2X3zxhay11lrm0Js6daoxf6Wx6cGTMys29cu4cSKzZ4u0aiWCCYOv5DZtVAPoKMBWtgh+uuqqq4wvbKtWreT4449XLWAelroO3YTLF7xi1wAWghntHATtzDPdJqFCvVUDGAFoJYARwCvzUiIgSfj80ksvCf4QH330UWo1Hr5spKGmsojmz16rWIVCsb6Txeumm24yfkKYh6gRjGvEP//5T7eb1XhvlS23CfYFr0jndyETcD7MM2aIYFoeMcIEuqWxKQGMMCuRBCjCc6t1aRo2BqJ/r732WqMxWmmllWTgwIGp1XikAa9qyUqD5xbx/VMCWN4MWdkiEIp0MN9++60sXrzYuEP84x//KO+mNXqVrkO3ifUFL+fz+6efRCZMqANz881FrrpKZJdd6tK88IPZmPQwq60m8vnnImefLfLFFyL/+Y/ISisFTgJ5PfmQy/VH5CKUHAR4JdGUAEZA1VmAIjwrDZemYWPYYYcd5NVXXzVwpD3yMQ14VV1uClT9kEWL6n3/lACWN0NWtlgPw4cPlwcffFAmT55cnxIpjT6x5Y00+lW6Dt0w9AUv5/N79Og6wpffjjpK5MYb65JCv/uumOT2kED6XnyxyBprBE7AQw89JKeeeqpJ87JkyRJT57snSaSFtINbyDvvvBN4j3I6KAEsB7Wl1zgLUIRnpeHSNGwMtvYvzq+UgUtz7rM04FV1uSlQ9UP69q33/VMCWN4M5csWvn+Yg2kcIn/4wx9Sqxkvb8TlX6Xr0A07X/BK0/n9y1/+UqhsRa4/ihscddRRcs4558hhhx0mm2++ubwLsUygKQGMAGqaBCjCMEJfmoaNYccddzRh8IS+77vvvqmM/lVSkyNSAaZfxSr08luuY/5a5MOIgBDMSASDkCJCcwLWQZaGfau8Wa7OVb7glabzGxMvpl7bZsyYIQcccICpdvXYY4+pBrA6S6H0U9MkQJXAp9obw7Rp00zdX3ydPv/8cxMJnOZWbbyqik1I068SwPJmKV+28I299dZbZebMmSY6/pRTThFyitVSI/ofX0fXRoQ0biPbb7+9NG3a1PXy1PcnJUhg3jqHUdQCXiuvvLKsueaaJUedpvObqj74tm+22Wb177xgwQKjCcS9gzlJoqkGMAKqaRKgCMMIfWk1CQ3RvwcddJBRk+P79+mnn6Y2+ldJjYiENP0qVqGX33Id89ci62PIkCGmOgiJockRhhm4Vhrkb8MNNzQlsbQtj0CTJk1kEX612uoRaNmypfznP/8pSQLTdH7zLnycFEppRrnH3r17JzK7SgAjwJomAYowjNCXVpMAouG47rrrhK+i1q1by3HHHZd6H6dq4hV6UpPqGNL0qwSwvAkoJlt/+tOf5LLLLqv3A6yVYBCc4Lfcckv529/+ZoigtjoEnn76aeMGo7gskwiI3+9//3tTKIAAimLNt/O7EA5KAMvYSbQSSOUrgVjfP6Yr7dG/XpMaR9Ov11iVsfcE4UWNUCIIaZjBjj766NR/KIWBwRLAoEM9zL1qqQ81Y8OQnVoac9BYwspKFggg2vz3339fvvnmG+P6lNsoFRe1KQGMgGAWBCjC8BpcWk2N1q9+9St57rnnpFmzZka7kebo36BDOs45Sd29HE2/XmMVYfKKrUWCQfB3wy+MknAUjK+FYJCwh3oESDN5qRLAhtMWVlbSfn4/++yzcuSRRxb0e8XPNw6zvxLACMs+7QIUYWgFL60mAdx9993NQbbuuuvK/vvvn+roX69JjaPp12usIizQYmsRV4kRI0YIPoFUBiG32BVXXBHhSem4NOyh7vK2BJJBkInABM+77rpLunXr5nKLsvuOHj3aBLR179697HtwYdoJIHkqyXHXqVMnM058U6dPny64KuQ2aruT/iSOFlZW0n5+I4t77rmnqQ1s8YsDn9x7KAGMgGjaBSjC0FJDADnIyIeE2Z0EmVkyAVWTMMc994H3K9P0qwQwEFmntch64cBgvRA5SAoJ0iVlvYU91F3GCQE8/fTTDUF5+OGHBY2LNZ8Xug8mOEh1HO3CCy8USM9vfvObwNuVem7aCeA111xjIpTJU0nba6+9jC93PtFWAthQDNDgk/8PpUdSTQlgBGSVAC4Dj01q6tSppjwb6um42rnnnit33nmnzJo1S4h2O+GEE+SSSy6J6/aJ3gcC+Pzzz8see+xhTNc12SB+f/6zyKOPilD7kpJHs2aJdOggsv/+ImecIdKmTeDQvcAqEIXwHfLx4uOINYJWCZLSv39/kxYGzQHuElkPBkmaAJJVYIMNNhDScZBKB80puEHUJk2aZHyw/vznP8ull14qU6ZMMeT6nnvuMVGmBBpss8028uabb5r9iXyM7733npxxxhnyu9/9zmi20MxyDWR80KBBJpCFvRLic/vtt8vJJ58sH374oYkEpbQfdc432mgj83uSA1955ZUFhSPtBJAz8phjjjHZG8CVvbBdu3bGRYFk/hBviI4lgPisQso32WQToyXE9Yf61oXwKbZawsqKPb8ho+zPzAs/aWlE8RP9269fv8ReKVUEkC8ykvzyJ+H+CD5ZsLfbbjtp3rx52SBQKunss882ubH4IqGxYZI2AXPJ999/b8qu8NXsUnPPZwII4WMR28amyIalTRFQBKqHwJdffmnIA75DI0eONC/CPko+scsvv7x6LxbxyWEPdZfH5GoAIctjx4415wH7GjkDx40bZwggvlYXU9JLxJxLpBih3vK//vUvGTp0qKyzzjry8ssvS4cOHWS11VaT8ePHG3Kz9957Cyk8SOaLlpHKRbivULHlxhtvrNcAPvnkk+bZF110kbFwQABvuOEGQ4wo78d1xVraCSDvTQDfI488Ik899ZRREgwePFhatGhhNIH8ycdKKQL4008/FcQnLgJo14yL7FSiL7J28MEHm/W76aabNlAiQIqjtlQQQL6kEAYWQceOHU0xZASDwsgTJ0405O/www+XM8880zn5L4u4b9++ZjHxdWcJIKkSWLxol/DDQKs0ZswYk1+OL7MwzWcCCHYQ6PzGRsoGqU0RUAQqhwCHxbHHHmu0LG3btjWkg49pNIVoXEihkuVgkKQIoPUBJLAM7RzaONq///1v+eGHHwwBRMNHxCVEEPLC7yCJKAsga2ALcaOhSIAY0iyp4UyzH8coG/CDg/RZEzCaRcg6BBLFxBprrGHSuoSpAZsFAkhCcs5f3BE4Z/kQIa8jsnrggQfKBRdcUI8V2sL/+7//MxpAzvtf//rXhhcUwqfWCSBnKenO4ELIRq5ljb9/9tlnkTeYqhNAhByTBapfFll+9m4W2htvvCH33XefUReT6BRWHKbx5cD9uQbBo94eBJBFhqmExYyQ0XgO5hKI4cCBA8PcXnwmgPkaQHyP2LjI1M9ij7NxiGFCIBAkbaZUfTf3mVbM3DHjilK4sf5I+wJpYf1hckTTxB7ImsH6oRrA5XHP1QDyG86Kl156yfis4XeFVSPXVw+Sx/nwwAMPGA0gWi0UCLn+a5TgwxScSwDZt9AAQswhkZx3w4YNMyQH0sm9MBljprfzzJyF8YvLAgFEw0ZNW+QXuYQgQ3pR+qDksRhjKj/ttNPMPg/x40/8v5HtQvjUOgEk3RlaPkzhcfme5mNWdQKIWhhVeZgGucAfg6+2MA2zB192fIHsvPPO9QQQ5swC56sSE7NtLEa+lokGK9QgiYXMnrwTWstaby4HUJxYpDmYQt/NfaYVM3fMLDEg8S+O9PkfQhySEAz7AYY/IP6zmBppHKBZTqCMMzzatTiDwPIJIFYNlAwoCtA64ZOXSwBnz55tfNKwSIElmIchgLwz/oB8NGMaRhOGFhHlAyQP/z58DpkjGnn98PuqFQLImHDj2meffYwrAn9CbjCXozTIJYDkvMP3kjKf+EyCGz6AhfAJIoAQzdzzPb8/BH/ttdeWtJqA4S5YMDUIpIz9Eo0hWj++KliwuQQQJ12cKxEANIG2kUQVnwvyzRVqCGoxsydf3z43TFB85VkNRJxYKGEoD8204pbW9woiWeXNQnxXlcLNEkDcaXJdMNCgUGQen0CKy2e14QqEaTBOAphVLHLfOwsawErjbN0FINalyBMfS7hNpJUAQnrx/yN+IalWdQ1gsYGhGSRXEipzyBq+AmEbE8rXExGYPXr0MJcVIoA4pPIVYhvOqFxLOoBCTTWAxU2x+SaosHMVpp8ShjAoNeyTVtzS+l61QADzXTDQtvBBi+aJve7QQw+tD2goT6qqc1USGsDqjCTepyoBbIinJYBZ1wBi/r377rsNh9lss80aaP2vuuqqyMKUSgKILwT+FZiGOSxQy+MfSGRUmIaKnWgr0obYBpHEcRJbOoEehH67moDzn+2zD2AxE5RqAMNIaGX6hCFaEHc02wQM4I/DGsFUhRaJOcasiMtFnGlEwrxXZRDKDmkOIqdWA5i//jCfEdxGw8cZv7MsBoMkEQRSLRmL87lKAIsTwCBtcdrPb4JWSzX8VaO2VBBAJopIKtuIysUfgugXGn9Hg0cEVZiG/wum3NxGdBF5nvC7IHoL0y8qVnwMaAsWLDARyBoEUhzhMCYoJYBhJLQyfYLmiwgzHNDxbSrWIITkJmNtkNMsDiKoBLC8+Q+aT8h6/vrD6f766683vsuQevLUZTEYRAlgYZlRAli7BLC8XcLtqlQQQMgfJWOIjGKTwtGWfx900EGGmJGfDxOADa93G2Jd71wTMP+G6JEfkDD+9dZbzzwbk7OmgVEC6CJfWSMzaIrwe4H45QY0hRkzRBDnbcyIUYhg1jALg00l+pRDAJlvggqeeOIJk96K9BsEumWtKQFUAhhWZsPKSto1gPATtPYkhM5tpCqinJ7NYBIWl0L9UkEAMc/yVUpEFX9CCE866aR6H0CScl577bWRomHyCaBNBH3zzTcvlwgaE0nYlnYBCjuOsP3KOYDC3rtUPyUM5aGYi9vcuXNNSoH7779f5s2bV39D3CQw+dJYEzbXFGSPKDz7/7lvQGJaohTL1STpfEafTxcXDOabgwQySMJiEvNmrdlDnYTMRG5qq0OARNNEeisuyySCrBx8oGbdBNy1a1dTbaZXr17LiTuKMD7CGWfUlgoCaAdBehZqBrZq1cr4++VG6EYdaBLXKwFchmoxH6Q4cFfCUB6KFjd8RUg+S0442yB4fHhBJPg7pA4XCwjg+uuvb9wv0BB+/fXXMmPGDOOLawkh97DmxHI0gTqf0eazVBqYYi4YpNYguTB7KtH65cxbeW8dz1XkgsUqhMxqWx4B/NrtR5xiU4cAH7b4NZN+plhL+/lN9pL//Oc/DT544EkkFs/9kC933lNFAO0giHyhLA4+emmqzZcPctoFqFyhKHadagAbIpM2MgMRRxtA/igIH1+RBFSh3bMbI4eFJX6kL6JSDvU3bT5ONk7rf2vvR/JbzA64ZNhDmA81PthcNYFpwyx3VrP6bkEfYMzxgw8+aAg+qSVIC+M6b3HvJy73sxpASGyW8xm6jDlMX/JCQuYVl2VoQZpwe8i6BhDXNKqkMJbcRlUU/r8mKoEwML5a8cH7+OOPTcgzma/RPpAVHJ+8W265xdTCS1tTArhsRoIOoChzl9VDOcqYy7mWOSDqk2SqED5L+riXNe3mEz+rCcJEjIaFlksA7XtYIkh5InI+QgRpEEU+0lw0Sjqf5cxuXSWQoETQxTSAlIbDxxnyD+lnn81SNHBYv67ykM3uVRoE0nDuwspK2s9v4hT4SONn1113NQMdNWqUCVwlJ+ZZZ50VWXBToQHcb7/9jPmJKEMGiOrTFjLn3yeeeKJJAwMgaWppF6C4sYpyAEV5FyUMpdGDnOHfR7mp/IheIt4nTJhgDn7In9X45RO2IAJo34CoUtYm69WSQEqPkUQ9rEZJ57O81RBl/TFvBNMxz5a0h52v8t423qvCHurxPjX9d1MCGJ0AkhKOvZEP2TRZHPmARxlGyTy718KNCP44//zzYxHOVBBAotOI8mUiMC/xZ66DI5sWZi20hGlobKT8MClkqE9rJvG4sYpyAEV5FyUMhdGD+FHpgeCpXP8+25vNgoo4BGxgrsUMWExTF5YAWk2g9SlkbmgkXsfsHKbpfIZBqWGfKOuPeSMVFu4AyAIfr1mKBq4UAaQ8HHkv+XCiEYBIRSn2eFLogCP+ZQQlYpVCq4p/pa04QeYKFBaVatUggJTJs+nTvvrqK1OakHKrBJhdc8015gODcqqUebON6HPcDmh8PK6zzjry6KOPmn+zdxHYQ0aO3/zmN/XXwAWoXkNyc4IhKA/317/+1ZR3K+XbF1ZWsqLAAR/M2uCKWZha1XG1VBBAinDvtttuJj3FCy+8YHxVWFhpb1kRoLhwjHIARXkHJQzLo2dJGL6y33zzTf0vbUQvTuH84PDPQYUDPeWE0NQVa2EJoL0ejRLPJ+cm1/IFTa3WbbfdNtAcrPNZ3mqIuv74YMX/D/kh0wKJZl1M9+W9dTxXhT3Uoz4tvz6wvR8mOEgOpvNPPvnEpCjjnSgr+uSTT8oVV1wR9dFlXV8NApj7opzZEGAiVSHLuI/wIQgBHDFiRMExQaghh9QFpqHYIVk5xDmXAOLDR1UuMni8+eabxsqARgzlS6kWVlbSen6zV2MV3WabbcqSCZeLUkEAKYyNIMFyKcSNn1EWHH3TKkAuAuDSN+oB5PKs3L5KGJZHDvJF+iLIF62Yfx8+ImzIhaJG8+cCjO+9917z37hi5KcZye+fG2xCWgIi0ig3hlYpKMBA57O8lRDH+iN6kH22devWRhPI4Z0FU3DYQ708ZJddVYgAor065ZRT6jVW9MYxH0KCa0UpAkiVnf/+978mkh7NzZ577mlycII92tgPPvjAuG/g844ihOwXlDAl6Ipz8PDDD5eBAwcWTd1TTQJIVgDOa3yOIcWQYHLU0dDQ8eFZqKFhRdHDXsE+wvjIPIAVIZcAIqfsSfgmE/BARgLwwEJYywQQTT2lcPmgp5TjvvvuaxRkcWr+LH6pIIBRF221rlcCuAx5DQLZK5A0ucipJVi4RmDyQFNDwxWCQyI3BQBkrZB/X6WIFl//fKHjs8J7QC4wOxfTLlXqvVzwtn2z+m5h1x81RSEdkHW0gVRHykIwSCUJYK4JGE0f/ybKlooqtvFxhTaQxOi5JmC0WFxjGwSQNYGrBv0gOZBJSpXi044mDFcNPuIwd/J/mPkwN9P4Xamar9UkgBDVxx9/3Gjk0IRCWjEB09BeYSrOb5BhsntAcOx+hnYVQphPAPk9vm6YmbkG32M013zUQr6tmT7/GWFlJc3nN3vpq6++ahK488EwZcoU2X333U0sBCQZX+44WuYIYG6y2jgAiHKPNAtQlHEVuzYODUQ575XVQ7mcsdprOEiIfseUa1N3UI6NSHmicGk2opeDvJB/X6VwQyOJuQcSYg8typIV0y5V6r3KwT+r7xaWAEI+cCqntW/f3lQZUA3gMkkppgEcPHiw0djZhmz3798/lAYQ0oImB/MlGkBM76xv7oFbBtkuWNP4vUNyiORnneNjiO9hqXy41SSAjB+NHCZatHXIUZAGcOjQodK5c2c5+uijTfYPLH+4fEGUCxFAizf4n3vuucb3kMTXlLHEZ7BQqwUCmD8u8IUMQrgxseNqAxnEWgOe5baqE0BMvWgK+Griq7RYGz9+vPkSwhGUhZSGpgRw2SyEPYDKmbesHsrljBUckW9MvLnJXa1/n03tEremjWdhxqGhFYJ4hm1WW2mj1aw2EnNjIe2ST/MZFsMw/eL4AGOuOGjZTzlEnnvuuZK+oWHeqxJ9wh7qUd+lmA8gpA35hpShxeKDCx81tFFBJmBLbFjXlDmFMEEAMSND4H79618bNw00gJiDIYBoeTjg0azhT1esVYsA5pp/2SuQTUy1+PJBUPAPZg/Lb2gGkTkSz+M6wgcJpmAyFfDRCMHp0qXLcpdhYuYaPjTRnKJpBDuCTnwhgLnjJB8rHwpU9QFzcriW26pOAP/5z3+asGYEYI899jCbE188qL6JFuJLCFUof7JogpzZywWinOuUACoBjJvMsJg5aGx0bSG5RCNIRBhmolLaG5d3cw0CKfRebOaYg4jeg7Cyjg855JAGpmCX9ypnXUa5Jqvv5vIBhjkT7RME/aOPPooCV8WurSQBzDUB4+OGWXPy5MlmvXEmse9jssRvLT8KGIKXq6DI1WwVIoDMG+ZN7gWpQhuIiZ71iLaLf3PIQ3wKtWoRQMZPFC9RubaRcYCgM85uCCDm7UsvvdTsAUT58tHBHkEuy/xWSgOIphHzO/fFlM5HJX9CkH0igGhMmW8yMBA3EUdVnKoTQDuBfOnA6PmC4CuMBYCdG/8n1OYw/rSlLVACqAQwbsKAXwsfO3xVs+FxKKCds2XYKNvG7/A94qAoFdnr8m5xEEAOM2p4s/nT+KJnDPmmYJf3qhjDWPqgrL6bCwGcOXOm4E7AWNECEr2Z9mjgShHAIHljLWJ240zCfF7tVi0CWO1xl3p+WFnJyvmNkgzTOi4IWEAPPPBA8wM3itpSQwCjDqQa12dFgOLCJg4TVDnvktVD2WWsHOAcwlaDRm5M6u1iaiL6i48j8mFhOuHLL0z0pgtucRBAO160GZjJrO8iZrNcU7DLe7lgGEffrL6bCwEEJzQyfGjzAYE2OYw8xYFvufcIe6iXe/+sXqcEsOHMhZWVNJ/fvBv5XSF+JPfnHLjpppvkvffeM5r7uJoSwDKQ1ETQDSNeXQ8gF9izeii7jBH/FpybWewQJ/xgcs2nhaKCS2n/eLYLbnESQMzYmGzIO4cpGNcNGx3o+l4uGMbR1wWzOJ7nco84P8Dwvcbnk48MgkEg7WmOBg57qLvgWQt9lQDWHgHEHxS3N/xACbLBrYB9FN9qJYApWrVp/oJIAqY4DyCX98vqoewyRhy/cSgnyIMDGfV+1APZBbc4CSBklTQZ5DGzyYchtBBW/Ktc8hO6YBhHXxfM4nieyz3iXH/4s/HBQcPVhqjMNEcDKwEsLClKAGuPAOLmQzDQ8ccfb1IC2aYE0GW3rEBfJYDLQFYNYPl5AMEOjczUqVONfx8EMI4D2YXMxEkArVQcfPDBpj5x7gaGCZtEpySKDZOgugLLeLlHuGCWpndzXX/0x9+UPYwI18ceeyzV0cCWAJIHE/O1tjoEXnvtNUPkFZdlEkE6HdxpiNImuXaxltbzmwTamH6JdiYjA+4ZWIMIqlMNYIpWfloFKCmI4tRAuLxjVg/lsGPka4/kzmj/UPWj/Rs1alTkA9kFtyQIINnrSWRN5KRNXwPB7dChg8lxSHQjZDdNzQWzSr933OuPaHOiMm36jkqPx+V5HIq8ZxyRjy7PzUJf1lRuyqgsvHPS78g+ikWlVM3gtJ/f5IYkshoySFJtZJ9UeAQf4SMeR1MfwAgopl2AIgyt4KVxH0Bh3y+rh3LY8VHaaOLEiSZiFnIUV3UGF9zoaxOroqELKgUXZmz4NZKvimLmbGaWBOLjSEJY0hqQJiJNzQWzSr933OuPJMNrrrmmGQaRwGHqOFd6zPZ5VgNICpsslAmtFE6kVEHbpbgsQ5ykyWQNCasBZP9lvxs0aJD5SWP79NNPTfoX9lOi+KkKQoWQqC0VBBBVJ8WPbSJootPIIQSLp3F4oCEhL1KamhLAZbPhaoJymcesHsphxoiPHKQPkoR5lDUQV0RmtXHLrRdMcAuRwYwTbQXpDCC6FHtPU6s2ZqWwiJsA8qzVVlvN1FglxRbR5nHJXtxzqj6AhRFVH8CGuISVlSye32gBqQiCVrBmCCBEj3p/5Kai4SxOosN11lnH/HvatGnG/p029X8WBSjKxpzEARTmfbJ6KAeNDYJ06KGHyjPPPGO+QNHA9OzZM7acbGnDDY0gVQ1mzJhhSCAVEAolhQ3CLcnfpw2z3LEmsf6s9pk9l5+0RgOHPdSTlI003lsJoF8EMG4ZTIUGEB8GvkItAcS+jbOjEsC4pzva/ZI4gMK8UVYP5aCxkS6FzPkkeW7durWpbxlnJKYLbhAyNO+0rl27OpWCCxqn/b3VCPIFi0mDMVP5h5+0JCJ2wSzsuOPql8T669evX339VmpKH3XUUbHKYFxjL0QAi5Vts89EiYCGnfJjcTdqXw8YMCDUbdFyv/nmm6berW1UEClVQi7UjUVMZYgw5s6w90trP5Ih4weHFYESc6VcVMJ+LGRBgTNv3jyhFN4333yznJ8nbjTUl47alABGQDALAhRheA0uTeIACvN+WT2Ug8YG8cFPhcWMKQ7fpqipX8JqjPLfLYkgkGLjnzVrlqy77rpCTcu0JSLOqqyV64LBdcwFScbRyOJ0HpRfMkiuk/h9OQSQRLq4HJCHstzGh1Ghutis3bfena1X9AAAIABJREFUeivUbStFAPGxHTx4sHnfTp06GXJoidK9995rUouw5vIbH6LU5cUfFD9g64pV6powA+/Vq5fJZUf5VttY+3zo8m7lNMrmXXTRRSWDIGqFACI3Rx55pFmb+Y0zIw6LqBLAcqRw6TVKAJeBV+4BFAb+rB7KQWMjozsOyyTjResdt/+VC26VJIC8F/W/r776anNYofknJUmc5DcI+2K/d8Gs3GeUe11SH2AXXHCBOVTxw6a+axpbEAHceeedhbq9fFBReYYatbhTfPfdd4KZGzeLYcOGyXPPPWeCkUjmTz9cEkhajvzxDMoroqkjlQhalz//+c8mUGnKlClGU3/PPfeYZ3Awb7nlliZXG7kt+XP+/Pkmgh+5xlGf6g3Id+fOnY1PeyENIO9EWS/2T97r+eefF0gSkZ78H9cR4FGs5WoAcZOCvLOfQLp4F1IxQWL5kzExxtxGlP6VV15pnkFgFil2DjvssJLXhJEPAozw2QdDMhrYhnyRFaCcMnpkDgAPEiOXarVCAJFbSg6ef/75htAn0VJDAFmI1A6lUWuRygF20CwmIhPjYLxxgKiVQLQSiJWjcggDGzuF4Sntw6ZPrqpdd901djOoy7tVmgA+9dRTxv+RQ5PgA2oIx2n+Lnedu2BW7jPKvS4pAkguOaKAIStoy8gplzYtYBgCCIndcccdzViQL8iG1QBC7K644gpD+HA3grA9+OCDxv0A0yL9cH1gbULUOGvAgUYQIqQKp3s0ZRClXA0g5AqSiCYVOcaMjokXDDETn3POOUYTV4gA8h58DJEvk70AzQ5aLsax//77GyJWSANpZaiYCRhSDyHmHpA7/OwhevlaS4gyrhgQWogtGkACLktdw9ggrpQQxAyP+wb1v/HjB3c+6CDB3bt3l8cff9wQQcgMDe0f/SGryBrmTcZHOiL2w2L3xFzOvUgFBHkslT6qVggg8gNBR66SaqkhgEEDjEvlGfQcl9+rBnAZWqoBDJ8ImmAINjsOHbK+Y7ZJgvy4kJlKE0CCPzhQiWajbbLJJubLvtq+gC6YuewVcfRNigBiAuSDG9LDR3j//v0TkccoGIQhgPiWoknnw+Kyyy6Tl156qZ4AkmkCIoY2jgYhgjwxVq6joTHjwIWo8VH229/+1mDC+sSfkI8VNIWQpFwCuNlmm9UTErR3yDDmO+6NlhDiYu9rMcj1AUQDCfni3SCxmE1J90GFlqBWiAB+8cUXRonCMyBXkEASfeMLmU8AIXJYItD+TpgwwWibeHapa7gvJPiFF14wqUkgZ5Bt/JkhcJBexsD/UdIM/0eq/9D23Xdfgwc/+PVxDY2/Dx8+vOQ9g7Cwv68VAgjR7d27t+Cnm1RLBQFManBJ31cJoBLAcghDnz595OWXXzaHC6lfOGySMH+6vFs1CCCVQPAT4lDiQCYdDpqIJMhw2L3ABbOw94yrX1IEkITdaLb4IOEAZ06SkMcoOIQhgBARtFkQQDRyaDbxn0K7hKaJxNeUJ6SBJeQIIsfY0fKRmojclBBA/h8SAzGDTEIg+WB55JFHBN9CzL7jxo0z90IDiHaR69Hisa4h1KTWOfbYYw0hRL4LaQAhUmgHeReIEwEdkDVKQ0KWXDWAfIgTHIC5FA0cGk+ezX0L+S1SRaRVq1Zm3bEO7dhKXQMBhDSjUYTokqR7yJAhRotJPlPq1yJDEEvenxRQzAXuLtwfPPlBs3XQQQcZDIPuiZY0bKsVAohMIlsEZ+GukB/4gk9n1KYEMAKCSgCVAJZDGCjrw4GCVpvFnRTpcXm3ahFAEpqiJeDQtLWCq0k+XDCLsHWUdWlSBBCNNJocfLOQSQgTJrw0tXIIIOSDtYVfG1otSAeaZ8gWcoefHNo8XHrISQlJ5CeXAEJe0EyTpJ0gLQgWJAaz5ieffGK0fGgFSSCMhpB7o9VGlvEBBE/MnZDDXAKIdhLyhHaHH96VazBLsxYpBWnN0pC4Yi1XA9ijRw+jyUNjyUcmDeKE9pH3gqihVcqd23wfQDJvoO0sdU2u9jI3wAUCiBYRrBgvWkQa40MDCGlEy4q/JmQaDOy78HfMxxDpQvfEZSZsqxUCyMcKJnM+yvg4RpZs4++fffZZWEiK9ksVAUT4iTwi1JtIJL5g8P3DETKNTQmgEkBXwsABgvYAGUdbgXxfcsklifhcubxbtQgghzDaCjQvNDQm/LtazQWzSr9jUgQQmcT0iO8XJIZ92GpmKj3GYs8Le6i7vi+YolkhWIQoaLSBlWiQOgg3ZC1KyyWApFbCrw5tEQ3/Qj42bbMaQHwg0fyhtaMViwLmd4W0hkEEECKHidf66RE4M3nyZBOAwt/BG03pCSecYIJuOOsh0BBUJYDLpGHVVVc1kduQ31J+oFHkJxUEkK8ffBbYeCB9fI0hIHxh8UXBVxY+UySQHTNmTP2XRZSBx3GtEkAlgK6EgQ0ajQONDZIv8qRMni7vRl8cwmlszHGUgiu2xnLfC+IJ+UADRbAXX7qQ4mr5ArpgFsce4nKPpAigfQcrm2hsrKnU5f2S7JsUAcQsjFkX3z0+xCCBSTc0iOCLxoxDPkrLUh5AUgxhnk+6hZWVtJ/fnA+4GdR8EAgFjvGF4KsIv4vchqqYAwEWzO9R6aelJFzaBSjuhZb0ARSGMCRJTMrBy5UwUGkB7R9qfRZ4XHV/C72767uVM/5yrin0XqxxDkaa9Z1KihiXeue0YsY7J73+MNER+MAaI5qVSNK0RAOHPdTLkccsX5MlAlgpnMPKStrPb6LBcRHKzaMYN4ap0AASRYUqvFhuILQDOMjuscceRrVsE1XGDYbr/dIuQK7jCeqfewChtcVcZJvNWYXTddyHBs8l4gy/nTQSQJd3I9kqJhgi/HC+5ovYppsIwt/192nFrdB7QTyIFkQLyBzvsssuJrqw0i2tmFkCWEzWWH/IFKb0ctff//3f/xmfLKwvBCehCawGCS8052EP9UrLS7WfpwSw4QyElZW0n9+Yf0mvg28nHCn/7ENxFrWlggCiDcF/gcOxUMN/AOdUzEVpIX+8Z9oFKKpw5F+fSwDR2Fofktx++HiQM0tbQwRIjopmhQg7HMVt3ss0YAWhh3zR0MAl5XNSaqxEvWF+5j3IpWadyNOAT9rfAexI4BuFABINDAkn8IE1vN1226UmGjjsoZ72eYr7/ZQARieA5CiEXOGHyE9aGh/BxRpBIKTOidpSQQAxheFYCsst1HAUJTEmTrNpaJoIei8TtaYawDqzXBgNID5GpD3ByZwNhz/JWZZkC/tuvAMfV3bDISKPj7KkWqH3Ah+qLhClyXpnQyYHFtUccPlIGis7VhfMksKn2H1LvVscGsD8aGA+VmyetkqPNf95lgCiLSeqV1sdAqRXIaBDcVkmEVQ8wYeYFD6k2CrWfFPgFMIhFQRw7733Nto/BLlQIxSa5JYcDmlqvglQ0j5IpQ4+5h4ClUYTcJh3w7xGbjCIc6WS7br4s1UrCjh/PsGnS5cupqpAUiXySu0hLphVei9Kev3ZaGCCgZCHESNGmAC8NDQiRKkCkZZqUGnAxL4D2nrWjbZlCGBleeWVV4wWO0sEEJ5TzBJaaByUKLTJzcuZ/1QQwNdff93kBiKHESHpNgqYxJEkm8TvD60EGoE0NSWAy2ZDK4GUJqd8iZJbi42JyL8kgz/srLiQmbQQQN6digU2yS5O0FgGKpUb0AWzSu9FSRNAOx6czqnKYKPUqxWRnYuv1QBSoox8fNrqEODjk/lRXJZJBLyBxNdZ1ABS/hZ/aD682AcLNdw8yCOLdn7gwIHGrajclgoCyMtTNoZAD/Ix5TackW+++WZTMDttTQmgEsCwhIHcXB9++KEJ/CD/3xFHHJG4g33Yd2MW00QAMUWSk27evHmmVB6JickPVonmglkl3if3GZUigBw+Ng0MgSUkJa52MIj6ABaWNvUBbIhLWFlJ4/kN/6E8Hz7iWEfIw0gicZJr4wL38ccfy0cffWT+/9xzz42ctig1BJBpxJH5ueeek/Hjx5tZXW+99UwS6LQGFaRRgJI8lCp1AOWPIauHsh0HRIYvO7SkaAJ33XXXiuS5c8EtTQQQnEj7hAkSkx+pcyhvVQlNlAtmSa61Qveu1PojGATz2YIFC1JRnQUswh7qlZ6Taj9PCWBtEcDcMwPtLuvw888/Nx/ofIxRSQVORO30OFqqCGAcA7L3wJ+QH8CjUa6HQtc20SepDohi5ZCBWeNsTnAH/cI2JYCqAQwiDJAZtH3ksySQAR8Pomwr0YLeLfcd0kQA7XvhFkLNZHycSBBNZHDSmigXzCoxh9XQAKKBZV9EdnFZIEVXpTSwxTBNigByPlCZh32f0mu4IEVJVrztttuaSOrcxjkBhqTIWrhwofkAJPl5HK2aBJDALT4W0Egx5nxSQl1gKspgkmXsWD74kxrHaPZZ17w/Gq5SDZcEiA91cWmUQCNbACXjCrWwsuLb+V0Iq1QQQJz7KQFn02KQYoRwbHtQUgEEB2DUn2EbSU3ZvIi4pJFEmsMDPywWO3UheQ7JZ6k+QhZ4qoyQjiZsxKFvAlQpDUT+HGf1UGYcHKbXX3+9iZhGk83GlTSJsfi54JZGAshByRcwhyZrEp+YpH0BXTALuxfF1a9S6w/ih3mJD2KCC0g3USolRVzjK3WfsIe667tAACF9VOXAArX99tsbbWO5rRABhCRBoH/5y1+a2/JRs9NOO5X7iOWuqyYBZF2iPGGPA8N8AgieyCyEj5yeEEAbxMPZzJnMBzGa/VKN2sT4pN5///2mG2c32jDyVCoBjCZGqSCACANRfx07djSjIZEpk07uP9q0adPMV0LUCDCcmjl8STjN/fgqo1g2jQMaMx3ChWNlmKYEcBlKGgRSOAjEarFACvnGFzBpElMOAcTcZwuzk4E+yXybYUkWB0tunWB809BMJdnCvluS71Ds3pUigPb5ffv2NeU5iTKkVGclTPDFxl4JAoh2ikDEV1991aR2whcLrSD+57gkoCxAk89Z8c0335jgRM4R+qFw2HLLLU16JxvAxFggOKynhx9+uMHQij0DzRb7KT+UTyMqvlirJgG074SPaCECaH/PHmgJYO44+DBmbLn5PrHMkQAZf2m0hHfccYfpgwaQSHB84Xr16mXwxiqgBDDaTpQKAogqmOoIlgDytf/ee+/FRgAhjmxkmJDQACJE1NdjU0GwbONLBa0jXyZhmhJAJYBBhIHShhRHZzPjA4RShmnUAIaR97j6BGFmn2PTkhCQQOQb+wP4JUlEwr5bXFi43KfSBBCTG5oxks4SjV1J2c3HJUkCaE3AmCohc2iW0F6hsYeQkEqELBRooLAS4aDPhwlac0jyIYccYvLY4rv+q1/9ypgobYMQEqEL2eGMw7zMn1bLWOgZzz//vJBQH4II4eTaWiKA5Pk89thjTcJ3fP67du1aPzyI4tixY42JnCheCCABYZiBsQBwXqOgKWb+5UZhZcX5/B4zRuTyy0Xeflvkq6+IXBXZb79lU7NkiciQISJ8pJKzuGdPEeq+O7iVuewHcfStaQKIoLF4ccJH/cyiwtxM2hlSypBDJ9f/gChkqo4glIUaX365yY+5fqONNhIST0bJxRPHRFbiHhxASZaiKjaGLB/KmH2QD7TafIDgalBuqS7XOU4rbq7vBfEYOXKkGX7SJcpc3811TqL0D0MA4yzFSOAN2mo+oLGOcPhCSKrR+HDHTzsotYfru+WbgCGDb731liER1EIGc4ghWj1IIH5vpN2AgEDucMhHC2dJGhjxrrZR/Yco9kceeaT+/6xGDCVHoWfg8kTeUD56IIzPPPNMTRFAOxhSmeBecNNNN9WPj2TwrHW0e5DvNdZYwxBoMKX0GfsprmIQyGLNEkDmJ1fBk9+f85uk4sxRKS1r/XXMw2uviZBcmqwk+QTwsstEhg4VoaZ59+4il1wiAmn89FORhJP+u8q97Z8KAogJmK8ivjJpaADff//9+ozv5ZqAMWuhgudLAxU8mgT8L/g3BHDq1Kmy2mqr1WOHiQlhKPZ1ceGFFxYsf8Z98UnwucVRiqrWCCCmDHsw2JxqldL+gaULmWGzzS0Fh9YnqebyXrwDPlSYf5AxTNP4aY0aNSqR13N9t0ReoshNwxDAuEsx4puN5gvXhaRqVofBkIACSFGSBBB/R3IMooEijxzuQOTrRPOEJhQtHybhE0880ZwRBD5QpADzOESGd6Refa4G0Mov696SEeSX67mu0DMg3ZAeZPyxxx6rKQ0gZ7J1L0HRgraTXL+28YEBMbZ+gci8TRZP6hMsKVhUipl/uY8lgNwXS1+xxscSRDI0Acy9EftjLgFE+0cwy+DBIkvdymT+fJFOnXBaFAnpVhZmLcTZJxUEEBMw0bkrrriiGRv2fRzAyZlGQ+vGgonqA8hBgkDg91eOCVg1gKoBzF98pQ5lgo0IXMLlgA2rEsmfc9/PhcykMQjEjgVfQPyv0IxAVNFMJaWJcsEszo04zL3CEMA4NYBouwgGsRWaIEY2kCHM+8bZJ0kNoDUBUwMZH8BzzjnHyBsEgjWMfzpuQYUIIEoBzMbIIyme0BTm+gCCAaZGPgbJ8QaZwVeQa+6+++6CzyD9B+4PkM20+wBiUcNff6211jKmWfwB+ZPcvQSI4EYAaUduKOmIGwc+kSh9MH/fdtttJjG+baxvfg8JpEHEbbDHWWedZe4FaSzVEtMAliKAmP0hmwQQ5biVyb77UlydKFTn5UDgC5p3YhZyGy4I06dPr49fcL5xzgWpIIDHHHNMqDHgDxCl9enTx6iUuQ+mXwQNoaTxZYJwahBIcYTDHEBRitEXe3JWD2Ui0NEKoNFms6tE8udaJIAchmif0OJbczqHKD9x+wNmVdaSDMLCzMmhyyHPgR435mH29LB+XWHuleY+EE+rZQzznmkIAgnznpXsE1ZWrA8gH+m5Llwooqwyquh752sAX39dhEplU6bUaQJtGzBAZPJkkSJuZaVwwTcSjT5BL7kN0zauAeyFUVsqCGDUQRS6HqdRtIoQPr5k+ZK69NJLjSZx9913N0QPhg0ZJOE0X2R84WkaGCWALvJYjDBwIPNBgdYY3yXSGFX64HQhM2nWANr54GBEW4CmBj8gNKtxk2oXzFzkJI6+1foAQytGxCuWGlxdqhEMEvZQjwPnat5DCWB09MPKiiWA+U/ELxPNbslWjABOnSqS41Ym1NL+8kuRIjkLSz2D/Q3/U/wUcxsuBsQeENsQtdUsAURtjA8F6nsOC+qJYvqF/NFsImirqraJoF0ybDtHEUWdrSpfX60DKGuHMuTvsMMOM74qBC3wpWZzXFZyCl1wywIBBDs2PjZFTEiYR/DZijOtjgtmlZxLnlWt9Yc7Dr7T+Mjhy4ovW5yYh8Ex7KEe5l611Ec1gA1nM6ysxKoBTMAEjGIKMooZPLcRJMP/5/ualiPXNUsAywHD9RolgMsQS9IElbVDOTf5M36sxx9/fMVSv+TKsAtuWSGABAJQBB1/4CSwdcHMdb+I2r9aBBB5xg8QzSsO/PizVTKYCdzCHupRMc7a9UoAoxPAWINATj1VZKlbmSxYQPLXsoNAsFKyzvjhI4yGUgu3NfZBfCKjNiWAERCsRQJI9Jn94iDKjcz2thGGT/AMjr82Msv+TgngMkyomoDGBC1zpZM/1zoBRM4wQWKSJCIQbaCt9hNhKddfqgSwIYpgzoFDtgMaTv89evSIA+7Q91ACWBgqJYAVJIA//SQyYULdAwn0uOoqkV12EWnfXmTNNeuI3vDhIsQqrLeeyLBhIqNHl50GhvODBOTXXXediVGgYRbGkklZ2ziaEsAIKNYiASSSzSYpzf17ncxvbnwjChFA8mnhq6BBIOQGrfOZwkxJ9G81fKaYLxcykxUNIONiYyQ1B/nayN+FQ3Rc/pUumEXYOsq6tFoaQPuyZFFAA1GNYBBLAPlAxeyvrQ4BIoaRfcVlmUTwUYgSIyhlkPP5DZmD8OW3o46qy/1nE0HffPPyiaA32SSSuOL7zJhatGhh4hUCA1QcnqYE0AGs/K7OAhThWZW6NDeRaX5SU0L5hwwZUpAAQgpJWKoEUOTwww830VsEIFElIC5y4ioDLmSGL0wCoWgEUKWhFFyp8YIriWRpBCaQfiIOs6QLZq7zEbV/tQkglZJId1KNYBDyuUL8/l975wEtRZH18Sv4qeuuWUygmEXMYgZzXkUMiChG1gTqIuiaF0UBs2JYgoiIiFkxoIIJxDWhAgYEM+iKoJhFd12Q7/yKrWe/Yd5MV4eZmu5b57xDeNXd1f+6VfXvG8kFqa0+Anxoxk2RljVMyboAaVoLzVwDLYvnt+s8KgF0RUyo7vIP88OhSZqPSD4EEZ5biUuiagAJcsBUlHcCSK4vUgoQoQVJoXZtpSp/FMqHr2QmiXGhjaJmK1HW+ALiqpBEYEISY0trnVabAAaDQdBs80GYBOZh8YIEkufQtc2bN8/ICgmYcRvIWmMNJKkVygJefBSWIn/IgO8EEKsM1g7ILI0qZSNHjjQfQqRmSqIpAYyBou8CFOXV0FpZ51LS5AQdTUmjQ2WLQhMwqnaytNPyTgCtZqoaWpI8EUACE0giS7JZGhn9qc8atykBbBhBMO/fv39dRZZqBINEmV+f5zTK+6R9TV7w8v38pqrMoYceaqrNUKVpo402MpYZPoLwxye4MG5TAhgDQd8FKMqrlUrKTRoIBDJIANH6UW+ZZJpKAP/PfHWiEUZDgs8Gi7aSWpLgnLts5Hxp2rxSOBr7VAqumBzb5NBkxUfris+PrRccRe7tNS6YxXlOlGurrQEsDAapVn5LV+x8nlPXd6lE/7zg5fv5jRaTYEKq0RCAhfKFijgkxCcIBBN33KYEMAaCvgtQjFcremmxjaFr1651paKUAP6fyfvH1xoEEHNT0omKXebUZSOvpSCQIAZEqvMBAmHFDEyN7zg+ly6YucxFEn2rTQDtO1ChAHNUtSrcuGLp85y6vksl+ucFL9/Pb0y/06ZNM0qFDh06GCJI/j8UDCgWkvCHVQIYY0X5LkBRXo2osoYaviFoioIaQFvuDGFFIPNsAibhMwsT8y+VP6gxGoeMRJm/qBrAWiWAvC/R50ShI4OQkjik2+fDzxcCuNlmm8k777xjUkGR5qjSNa5d14XPc+r6LpXonxe8fD+/KV6Ba8shhxwiFKigihkfu7hcHXDAATJr1qzY4qAEMAaEvgtQlFcjhx0NcyBFzdnsaW+//bYpaUYSSksAiTxD40WpveWXX95ovvJMAFHRky+NAIWnn346CvyJXuOykdcyASQlDLJKozoIm2VUs7sLZolOVoib+UIAe/ToIf369TMfgwR/nXTSSYlEYIeAIFIXn+c00gulfFFe8PL9/H7ggQdMRSnO2T333NPU46bhmz9+/HiTdSNuUwIYA0HfBSjGqxmfqjPOOMOQPtqECRNMRGvbtm0NAYQwkHqDqCTSEHAIv/zyy7klgGj8SJtDpCIk+uGHH65a9K+dd5eNvJYJYLDyCtGQyG3UlDAumMVZX1Gu9YUA4gvIRw6kG+0riaGrFekeBkef5zTM+CvdJy941cL5jZaPcrYkXseyZM9i1hua97hNCWAMBGtBgKK+HlG9JNoNtlatWhnnUwggueJshnJMb9ReRgOWVw3guHHjjFaEhv8fwTRRSUjUOSu8zmUjr2UCCCHp1q2b3E4yVhEhlREpS6KY310wS2qewt7HFwLIeN9//33j7oDv5U477WRMU1HwDvvucfr5PKdx3iuta/OCV5bP77CyoQQwLFJF+mVZgHCoP/300+vKwpFpHoIH8YMAouV68cUXDSqY3fgaIWIprwSQCiloQtBANWnSpKrRv3nTANr3xUmaaHTmAJeEKL6APh9+PhFAMLcR774Hg/g8pzGOn9QuzQte9vzGjx1/1tNOO838VLuRaaNcI8BwtdVWk7333ttY5aI2JYBRkauBRJIxXs0cpJQwmzJlivnKx6+KUHQCHSCA+CS88MILJi8RfoBEKeVZA4j2Az/JP/3pTyYxcRTyEWe+il3rspHXsgbQvjuaKNwQaFETFbtglvR8lbufbwSQPYH9wfdgEJ/ntNycV+P3ecHLVwVOqVRsVh5Iyfbll18apcvZZ58tl156aSRRUQIYAbYsVwKZPXu20ejZRoAHja98uzHsv//+hhB+8MEHJis5EUmY4EginUcN4OOPP26SdYIdfoCQYx/MYS4bOVVtGDPtsssu874UXLFlG0xUjF8qvoDXX3+90wp3wczpxgl09o0Adu/eXW644QYTDILGlYjFars9xP0QSmCaav4WPq+BJMH1lQC6vCNnDwmh8T2P0pQARkHtf9dkQYAKX5/QcxxMDz74YPODetw2uzGQiJKku6ih0Qg2a9bMlIEjIjBvBJAkxMOGDRMiI9GEfP7558YE7EPzdSNPa1zIICR20KBBpkQc7gp9+vRxmoq0xuY0iAY6+0YAwZuPHXyF11tvPZk4caKXwSA+z2kScpH0PfKCVxbObzJvdO7cWR566KFIYqAEMBJsCy/KggAVe33qGxPdSyQrGsCDDjrI5CIiJQx5AokQ/umnn4SKEfgJ8tWfVwJ43nnnGTkYMWKE8T2LE4EaQxSLXurrRp72uIYOHWo2RaLm+PPaa68NTUzSHlucOfaNAPIuJKrFCuBzMIjPcxpHHtK6Ni94ZfX8dpELJYAuaBX0zYMAYdZ85JFHDBnE5LvhhhvKmDFjTG4iStUQnk7OtbwSQMzhJCHmIMQMRqR01Bx0MURRCWAAAXxi8EfFrI2PqkvNWp8PPx8JILDj+sFeiOWA8oc++L8GF4TPc5r0mk/ifnnBKw/ndzl5UAJYDqESv8+bAH399deC3w/mX774MXUSKJJnDeCZZ55pyAZOuRBiciP64gflspFnIQjELlVy1FGpAidp/NNwa3jzzTdDrXQXzELdMMFOvhJA34NBfJ7TBMUMFTqGAAAgAElEQVQjsVvlBa+8nd/FBEQJYIxlk2UBwgz87LPPmi97vurR9JHsGG0K+dZsrjsb7JBXDeBtt91mciAS/UsgiA/BH1akXTbyLBFAgkH4SKE0IS4MaKZIpkq+ynLNBbNy90r6974SwGAwiI+VQXye06RlJIn75QWvLJ/fYeVACWBYpIr0y6IAvfLKK3L++eebiFaSu5JriLJwU6dONalhcK4nO/l1111ntIG25ZUAHnfccXLHHXcYLMDEp+aykWeJACKLRDJTqYK6mfirrr322tK+ffuyBN0Fs0rPta8EELxJvA3W+AVTGq53796h/S7TxtHnOU373aPcPy94ZfH8dp1vJYCuiAX6Z1GADj/8cBM9STqTwgYpJOJ33rx58tZbb9XVCaZfHgkgEVjgMXfuXDniiCNMqTyfSmK5bORZIoBBuW3Xrp08+uij5r/CVGhxwSzG1hHpUl8JIC9z8skny+DBg817EQy1yiqrmDXhg0bc5zmNJAgpX5QXvLJ4fruKhhJAV8QyTgBLwYFJGP8qNne0gPgB5lkDaLV/HHjkTiQZti/+f8yLy0aeVQJImhIq1qC5xpWBZNGlgnRcMIuxdUS61GcCyL4AzlgLaOwNEG4ffGJ9ntNIgpDyRXnBSwmgiBLACIspy4mgn3vuOWPOoZFcknJPVsO37bbbmhqgLVu2FGrfQnyCBJBowDlz5iSuBWNDevrpp03ZG3Lt+dJwfgcP6iZDoHh/q23yYYwuuDF+yvvRxo4da8hSWs1lXHHHgAYKEz0+gLQjjzzS5G1sqFVybK7vVmpsaOAJQkojD2eYceJ3Ca4EihEQRaMiDiUlqx0VnxdCE2aewvTJC15KAJUAhlkPDfbJogBtvfXWJqErLfh3NnjyqRFVyZc96WBs2a0gQHfddVcoZ/tYwHty8UUXXWSiTfF5ohpKLTebOJl36Nu3bz1yX8vvZcc+cOBAGT16tKy77rpGS0ulkCw1Al6OOuqoqhFA63d53333Gf9h5AktIHlCb7zxxqpCnRdCkxTIecEri+e3qwyoBtAVsUD/LAoQvn+TJk0ybxn8O1pBNEM0tIJk/ic3oG0cAHnSABJditkXf8gBAwbIZ599JmeddZYpmedLc9FmkTOPpNa0K664IvVScJXW6H711VeG/EFMSF9ERHDHjh1NsEiwuWBW6Xn2WQMY3AeoSwrhxjcWWTr33HMrDdUic0oCe2qY+2RBqCooJR6uBNDXmUl+XEoAY2CaRQLYkAawU6dOgnaPIAcSHhf6u+UpCIR3xf8PAgwWpMXx8XDxdSOv1rjQWpPMHO0ffqy4MhSaJ6s1tjDbkM8+gIXjpwYz5RFxJejatav07NkzcdeQMJjRx+c5DfsOleyXF7zs+U25Uz4MTjvtNPOTp6YEMMZsZ5EAotm7+eabjamXnH/WfHPvvfcaXyr8ANEGEikcjHjNEwHEHI4fKH5z5P+78847lQA6rKNqHTBoaJFntLbBMoaFGkBftUW1RAC7detmEqSzj/CRdOKJJ1YtQKpa8uawJLzqmhe8snh+uwqSEkBXxAL9syhANhCgEJYpU6YIZjTKPA0ZMmQRU0qeCCCRpc8//7wph7f66qsbE7BqAMMvpGodMMgoX/gQdhq1rffdd996qUqqNbYw6NUSASQq+NVXXzU5GAkWa9OmTdWCQXye0zDzXuk+ecEri+e3q6woAXRFLOMEsBgcfMWT727mzJkmwes555yTawJI5Q8qgNDwe0TTUesEEG0mUdY0/PPSjgKuppaNqG2SFmMKXnHFFY0536bv8fnwqyUCiJZ86NChJiqY1rlzZ/PhWI3m85xWA49yz8wLXkoANQq43Foo+fssC9BTTz1l6qdCBHCeJ8qVA3PEiBFy6KGH5poAXnXVVcaxfYUVVjAJcKmYkgUCSKk/2gsvvJBpArjbbrvJP//5T6PBLUxV4vPhV0sE0EYFWxK4xhprmCjlaiSG9nlOYx1AKV2cF7yyfH6HFQ3VAIZFqki/LAoQ1S32228/+fzzz6VVq1bGgZrcgCR4pSzcKaecIhdeeGGuCSBk78knnxSI4JlnninV1GaVEl+XjTyriaCL4YN2Cm3Ut99+a359yCGHyEMPPWT+7oJZjK0j0qW1RADtCxIsdv/995uUMOQpDGpbI4EQ4SKf5zTC66R+SV7wyuL57SocSgBdEQv0z6IAkdMOrR85/4iMCgY8LL744kKxd5LqFqZTyIsPYLAcHocZ9X/RmKkGMPxCqvYBE8xZR7Jz5B2z8Pbbb2/qYNfifKa5/sLP7KI98ZcdP368Cbxh7wDnSieGrra8xcGvGtfmBa8snt+u8qIE0BUxERMByg+50z766COTAw4fuSw0ooBJldGoUSPzOjhzcyDyrnzF4wMIKcwrAWzfvr08+OCDxhxua8uqCdhN8n05YNBqs27xUyMqmKj2E044oSZN+r4SQPaKQYMGCXkzWTNozK+55ho3gYnZ2xd5i/kaFbs8L3gpAVQfwFiLKosCtPHGG8vUqVPrcDn77LONlotAEDZwyE8xbVeaB5BPGxJBH8w75ixIA+XgTj31VNUAOqwkn+YTrd+ECRPM6CGA1AquxflMc/05TO0iXRkXfn98MONzyXrBxaSSvoA+yVscLCt1bV7wyuL57SojqgF0RSzjJuDttttObr31Vtl8883Nm1LqjHQZNCpf8DWfZwJI4Ad+kmj/MIlT7F41gG6LyKcDJqih4i3QCJIHk4AYIoR9arXoA2jxs5HXpIQhLyDppGzkddoY+yRvab9rEvfPC15KAFUDGGu9ZFGARo0aJV26dBHq3FLInXx3JHXF5EudT8zAeSWAmMapJoF5HIJAUuxa9RkrFHxKpJ1xxhnmv0lrw0GdVvPpgEFDFSxdxtzykfPhhx+aMmY+tVomgK1bt5aXXnqp7kMSTWClfAF9kjef5KmhseQFryye367ypRpAV8QyrgHk9UaPHi19+vSRiRMnmqhIfkgQPWbMmAYjXtM0QfmwIfF+Bx98sKmHTC3kt99+25gMfRhbrW3kPmKGfL/44otmPpnfDTbYoGIEJewWVMsEEE0rVVjwJaYOM+XhVAMYduYr28/H9ZkGAkoAM6wBvPzyy01qh2nTppkoP3x7rrzyStloo43qZAm/tl69esktt9xiUkLgD4SvyiabbBJK3vIgQDaNQ7mUJ1kngMEDjPJv+IlxgPm8Wfo6Nh/HxfxS05l9AF81Ilapi00qpEr6q5XaeGqZALI/EGDDnox2+ZNPPjFVdCrRfJS3Srx31GfkBa88nN/lZCCzGkAcjTt27GjMdKQgIHcdWpt3333XJH+lQQjRdLHxY9ojwpWUBe+9954ss8wy5bAzwQAEBWQpChiiR6UPGps1NX/BA+0fyaExfebRBEzyYMzhNHwhrQnL583S17H5OC6bGgYzJZpvIoTRVEH2jz322Ippq7JKAHmv3377TdZff31D/lq0aCEHHnhgRci1j/JW9nCpYoe84JXF89tVbDJLAAuBoI7tKqusYg7xXXbZxUS1kp2etARUdaDhB8XhDjEk4XG5lkUBQuvBAUjbcsstDWlm4yb33/777y+XXHJJLgkg5t9HHnnEBH4QHGBJgc+bpcvYSATdtm1bM++PPfZYpiuBlCNZl112mfBDgwASGPXss8+W2w5S/30tawAtOPZDCp9iAqoqQa5d1kHqk1gDD8gLXvb85qMEeaROOD95arkhgDh149cDoUF78/HHHws57yA7W221Vd2ct2vXzkSpDRs2bBE5gCDyYxvVMlq2bGm+aJs2bZoJuUFj+tprr5l3ISUMeQ6XWGKJuooXaEmpGVssDyCpUb7//nvjG5dk82FDImrxzjvvNBrfI444ok5z4cPYGsLaZWx5qgRSjgBS2YV6z7aOLR+KrAX2iWqag8MQwDlz5iS+/pJcy1hm8KPlA5w9kwwDjz76aJKPWORe4EZ962L7VqoPrtGb5wUvzu911lknUxY8V5HLBQFks4HY4d9DUmMaph4i0xACNnjbqO06Y8YMY/IsbGi/8BksbKRNgfxkofXo0cPk/aOdeOKJwoGyxRZbmPcO/q7wXX/++WdT6zOLBJC0LxxWvCM+kYMHD647ZF1IVqXlw2VsSgAXzo7F7OWXXzYuEER+0/AJJO9jJdOXFMpLGAJ41113GdO1z40oczSquJOcddZZPg9Vx5ZhBDjbOOOy5MLlOl25IICodR9//HFTAN5W7LAEcObMmfWckSmFhkAQCVvY8qABBJ+jjz7avHq/fv2M+RefSTR+kIR77703dxpA8BgxYoRJgdOkSZN6ZisXkuW6OOP2dxmbEsD6BND6uaIhmD59uvklmm005JVKXxKFAPquAaQiCB+SWFhYT5BA8mjidxzG7zrKmsiLRisKNsWuyQteqgHMcBSwFWxymz388MMmuIPN3LYoJuDCxZJFH8CghhMCiPYLzQdVQPAJJFoyb0EglgTgswQZJpLckgAXkpXUBh32Pi5jUwJYnABSCWfgwIEyd+7cOhLIR2LPnj0rbmoNowFMQwMfVt5c+mF1wa8YUk2WhjQ1qy7rwOUdsto3L3hl8fx2lcnMagAx+0L+Ro4cKePGjTP+f8Fmg0C6d+9eF/VKjioCRfIcBBLECOdYfADxfaKoe6mkx1lOA4PWD80KwR9oQoOHlc+bpcvYlAAWJ4A2OhizP+SKxgcRriI33HCD634bq3+WCCCptsjIwHpizyUqOC3Nqss6iDVBGbk4L3gpAcywBpBEo/jDELkZzP2HLw9fnDSIHvkChw4daghi3759DVnMcxqYV1991eRDJHUOOPEnPpEkx2VjgFCDJ36BwZZVAkiAz7rrrltnriIiNBgI4PNm6TI2JYDFCaCV8b322kveeOMNoxGnQVzIEdimTZuKBYZkiQDy4Q2B5kOcPRmtalqJoV3WQUY4XKzXyAteSgAzTADxLynWIHvUb6XZRNCUfgomgiZKOEzLogAddthhRtNBxNx5551nkrZiLn///fdNepAHH3zQJM7eZ599Mk8Ag9U/iP6lLnJhhLPPm6XL2PBv5RCmoe3KSym4wnXeEGa4PgwfPtz4xJJSisYeQ5oYtIHXXHNNmC0jVp8sEUDWFnsIH5zByjqxAGrgYpd1kMbza+2eecEri+e3q6xl1gTsCkSU/lkVoAkTJhgfJyKhOeRIi7P55pvLIYccYvIkQhKLpYHhSz4NH6RqbUgc+mgpeH6w+kdQVqo1tjDy6uvYfB0XmDY0NmsKnjRpkqkuBAnEZYQGWSZ/JlkF0kwTkyUCCG5YFtCuQ6qpO56WNtVneQuzjivdJy94ZfX8dpEXJYAuaBX0zaIAkeqENmDAAMEBnmz999xzjyGCbAyYyPMSBELCcJs2aLXVVjMlAgv9lHzeLH0dm6/jKkUAg0ufD4M77rjDEEBrEub3pF/BPQJf0TRyBmaNAIKZ9TPmA4sAqzSCQXyWtxjHT2qX5gWvLJ7frkKhBNAVsUD/LApQo0aNDNnDPM4Pfw+a08mNlhcCSNJatKBoOznUix1OPm+Wvo7N13GFJYBBbeDUqVNNwuhggniixZGZpKtcZJEAQpQnT54s7Dt8ZJFwO+lgEJ/lLcbxk9qlecEri+e3q1AoAXRFLOME0L4etZFJgksqmOOOO05Idg0R5Is9LwSQ0nfkg8RMdeihhxY17/m8WbqMjdq3hx9+uJn++++/30S6ptVcxpXWGBq6r+vYrDZw/vz5dZVDuDeEBo0gJSWTShmTRQKIlYE9BvzIAwheSQeDuM5ppWXOt+flBS8lgBkOAklzUf3jH/8QfjABkSYli5nEiQCGFDz33HOy++67GzjxcSJhax4IIElCmzdvbg4mgobwBSxW4s7nzdJlbBoFvHDHcMGM/kFtIIFkZBCwOQP5PZpAPprIexfXLJxFAhgMtKKaEiU78SVOsrnOaZLPrsV75QUvJYBKAGOtz6wKEBsA9X9pltyyMR9wwAFy1VVX5YIAtm3bVkaNGiWLL764Mf82ZM7zebN0GZsSwGgEMLiBBHMG4ktLCiXcKGh8ULGm0CZH9RHMIgEEm2CpRYJp9thjj0SDaVzWQawDISMX5wWvrJ7fLmKoJmAXtAr6ZlWAMP1iAqaRDgbTL9GP/fv3NxqNPGgASU5LpCd+SZDAYPWPoBj4vFm6jE0JYHwCaOXCpoxh3Xz55ZcmyjXYIIJU1iGiHs3gTjvtFIrwZJUAgg15Rd966y1DlNG0JxkM4rIOYhwHmbk0L3jZ8xsNPecaJWP5yVNTAhhjtrNKAB944AHjD0ZUHrm6OnToYCqBkA7miSeeyDwBJJXNSiutZMy/EEEO8oYOJJ83S5exKQFMjgAGzcLIEm4izMVPP/1UdLfh8CEXHi4HaMAaSiWTZQJI8nnST9FWX311admyZWLBIC7rIMZxkJlL84JXVs9vF0FUAuiCVk40gJA9fP8IBMAfx5Kfah1AldyQOLw7duwoTz75pHl/Kn8UVv9QDWCMRRPBzy7e09yuTlrWipFBRmTLygW1g2gFCRyhKhGRxIU+g9Vaf24IRusdzLnJh2eXLl0SCwZJek6jvWHtXJUXvJQAqg9grFWZVQFCG4HvHyYqtBPW/FmtA6iSGxIH0Y033mgCfMIcRJUcm6uwuoxNNYDJaQAbmqdCMkgiZEhfMTMxH16YionAt1Gx1Vp/rnIXpT/YYGkg7RKYEA1Mmc5igVeu93dZB673zmL/vOCV1fPbRSZVA+iCVk40gDY5KyZfqhzkSQMYTP4MAaYsYKm8ZD5vli5jI+KbQBcaSY41DcyfF6l2E2OrWOTSQjI4ffp0EzQSTCzNRXyEkBtv1113lQsuuMAkJq+0D26S713qXj169DDR9mhFk6wP7LIOKvWuPj8nL3gpAVQNYKx1mFUBwv+GBLdbbrml7LXXXnU+SdXSQFRyQ+J9n3322ZLJn7NoAo61EBwvruR8Og7NOQ2M6/2L9S9MJUPdbRJLg5NtRA5Tq3nHHXfMLAFk7eEH+OOPPxrt584775yIH6DP8paE/CR9j7zgldXz20UeVAPoglYONICkraAsE2ksOIjwR7It6wSQg7hFixbyxRdfmIAXNJ+9e/cuaYbyebP0dWy+jgs5r/bYLBmcOHGiTJkyxeQZJAgJn8DNNttMTj311MwSQNwvbr/9dpkzZ47Zcjp16iR33nlnjB164aXVntPYL1DhG+QFLyWAqgGMtLSynAh69uzZJvUJhw5mQZsPsNxGykGF2Qbn9iT8dqqhZUPDQsUTGklpSQBdriqBz5ulr2PzdVzlZDzSZhHjIptOhjREmIeRxyxrAC35HT58uLAPEYGPW0JDUdFhofVZ3sK+QyX75QUvJYBKAGOtqywK0Msvv2zykq255pry6aef1sMn6xpAkvR+8sknpiQVZLah3H/VIKdRBNVlI1cfQP+0RUHTMBHB559/fqZ9AK2Mo3m3mr+wH2Kl1ofLOoiyzrJ2TV7wyuL57SqLagJ2RSzQP4sCNGLECDn66KON0/m4ceMaJIA4auOnZBuHFaQR800aGsCnn37aJKUmKjmNxvsQ9IEGkz8JgiAdzGWXXVbycWyWaY8t6vu6jI0oYFvyb+zYsSYhb1rNZVxpjaGh+9bq2Fh/kKU0NPCVngN8AQl2IRKfjzHSMJUKxCo3vrwQmnI4hP19XvByPr8vuUSkV6/6MK66qsisWWGh9a6fEsAYU+IsQDGeValLITwUrz/hhBPktttua5AA9unTR3oVLgYRueuuu0wus1pr77zzjlx00UWG+OCHRPRznhpknihTWt++fXP3/rU+1/jsHnXUUZkggJi+Bw8ebN4FV5S//vWv0q9fv8hTlBdCExmgggvzgpfz+Q0BfOABkWee+R2xxo1FmjRJCvqK30cJYAzInQUoxrMqdWnnzp1l6NChRvMFIQq24MaQJQ0gPkY333yzzJ071wTAUA6onObP4lKrGqNCeVIN4EJEanU+s6QB5F34uKT0JK4J5OU844wzIm+BeSE0kQFSAijNmjUrDx8E8OGHRSZPLt+3RnooAYwxUVkkgLvttps8//zzgikYjUJDBLDQFFvLQSCYuzE5EQHdpEkT2XzzzUObnHw+XFzGpomgfyeADZU7jLFVJHJptXxwExl8hJtgZeAjlFyIRD9jmYjiXuKyDiIMM3OX5AUv5/MbAnj11SLLLSeChWj77TGXiKy7bs3KgBLAGFPnLEAxnlWpS20VkJdeeslEHOaBANrSd5Ba0m0QeVgu+jeoAaxFwlBMA0jeNRpkOG0fwCxgVqk1GUbW0vwAq/R72ueh9SPjAh9mpGU68cQTQ6/LsPtWtd7N5+fmjQC+++670rRp07opwf2nqAvQk0+K/PyzyIYbisyeLdK7t8i0aSJTpoistJLPU9rg2JQAxpi2rBFA/MA4+NlwZ82aZYIhwm6kaR5AaW5I+Bmts8468u233xryRwBMudx/YTGJIVqJXOqCm2oAF0Luglkik+Rwk7xpAAkGeeWVV4xrBkFZrVu3Dq2Zr5U16jD9Fevq8xpIEgR7fhfe8+KLL5ZL0PaVa3Pniqy3nsg554j06FGut5e/VwIYY1qyRgBJPtuqVStp1KiRdO/efRGTS7UOoDQ3JMzcd999t3E2J4oyWHs1jGikObYwzy/Vx2Vs+Fodfvjh5nb333+/loL7c7ql4KLMbbXWX5SxJnENwSD4I3/99dfmdn/5y1/q8nS63N9lHbjcN6t984KXPb9DawCLTfjee4usv77IgAE1KQ5KAGNMW9YIYPv27eXBBx8UEs+utNJKdTWALUTVOoDS3JCsyZtSW0Qvh8n9VyvahTRxi7FsalbLFuedk7i2WusvibFHuYfNg0g2gm+++UbWWGMN45fsmhja13UQBZNKXJMXvGKf36RBQwN48skiPXtWYmoSf4YSwAiQZrUSCOSH8m8kQSb/ViEZqtYBlNaGZH2LOGggvBBfktCG9f9DdNIaWwSxXOQSX8fm67hqeT7TdMFIQhbj3KNDhw5GK51FLX0cXNK61uf1meQ7OxPAs88WadtWZK21RL78cqEP4PPPi7z9tkjz5kkOrWL3UgIYA2pnAYrxrEpcivkXMzCpUIi8KyRDWSKAHJike6HiACZvqp/ssMMOmdIu+LqR+zouJYCV2GXcn0GQ1vjx4005PD5Ot9lmGydfQJ/lzR2N9K/IC17O53fHjiLjx4tQq5rcfzvsIEKhgJYt05+UlJ6gBDAGsM4CFONZlbh0v/32kzFjxhjNX9u2bRchQ1kigPgXkWeMBLpEfBFx6KL5s/Ph82bpMjYCgKiFTCMJb5qJsF3GVQm5Dz6jVseWZQ0ga/WWW24R3pGPtW7dusl1110XWjR8ntPQL1HBjnnBK2vndxQRUQIYBbX/XZM1AbImYMou8dVd2LJEAHk/8h3Onz9f8P+j1mqUclM+b5YuY9Mo4IXS7oJZjK0j0qXVWn+RBpvgRRA/IjNxvQGDjTfeWA444IDQ2nqf5zRBmBK7VV7wytr5HUUAlABGQS2DBBDzCkEQLP4ZM2YIwRFZJoCdOnUyZevwKyL5s0vuvyxojArnVgmgEsAYW2FFLm3Tpo28+OKLph64S77OvBCapCYhL3gpARRRAhhj1WRJgD7++GNZb731jOkPsyimlqwSQDQKu+yyi7z55puG9JJewiX3nxLAGIumhrVs8d46/tV51QBa5FizJCmnuVTsyQuhiS9h/n8EJfWO3CdL53dUXJQARkUuYwL01FNPyb777istW7aUKWQ2L9KqdQAlvYGfddZZprg89YzjVBgAoqTHFkMcnQi7agCLI12r85llH0A7U/gCYgZGW+3it+vznCa53pO6V17wUgKoGsBYayZLAsTGevrpp0u7du3kYQpeZ5gA4kM0bdo0k/aFaictWrSI5P+nBDDa8vH5gKnVseWBAPKOZ555pkkOTdtuu+2MJr9cXkCf5zTaCkr3qrzglaXzO6pEqAYwKnIZ0wBS+QOtGNqxa665JrMEcPbs2bLmmmsazd0SSyxh0kq4Vv8IguPzZukyNvUB9N/8VS0NfIwtMpVLcVXBZYVUVaSsKpe702UdpDLgGrtpXvBSAqgawEhLM4uJoA888EB5/PHHZeDAgXLKKadklgDuuuuuJqcYwR9oALfYYgt59tlnZdlll40kCz5vli5jgwCS+of22GOPmZrQaTWXcaU1hobuW6tjy4MG0M7Z1ltvLZMmTTJ+yquttpqJCi4Vwe/znFZavsM8Ly94KQFUAhhmPTTYJ0sChBn0vffeMxtpsRQw5cydaR5ASWxIjO/888+XAQMGCBVA0ALyp2vpt0JhSGJssYSwxMW+js3XcZWT8bTmKex9VQO4EKmzzz5bbrjhBpMYGg3gqaeeWjKHp8/yFnbuK9kvL3jZ83v99dc3keUUBuAnT01NwDFmOysEkDqbRNURFHHyySebzbSYRqxaB1ASG1LQgZwpD2s+KiceSYyt3DOi/t7Xsfk6LiWAUSWtstfxMdexY0d58sknDQH85JNPZOWVV25wED7LW2WRC/e0vOCVlfM73KwW76UEMAZ6WREgKkDceuutBolVVlmlwZx4tUwAt99+e5kwYYJ5x6WWWsqYOEn/Us6BvJx4+LxZ+jo2X8elBLCctPvz+19//VWaN28us2bNMpkL/vznPze4ln2WN38Q/X0kecErK+d3HBlSAhgDvawIEFUwJk+ebIgRX9INmUVrlQB+99130qxZM5k7d640btzYVP6IE/gRFBmfN0uXsVEKjnJ4tJtuuklLwf35z8Ys5FOr1vrzCYPgWHbeeWf55z//WTYxtMs68PVdKzmuvOCVlfM7jmxklgDi6I8p84033pAvvvhCRo4cKQcffHAdVvh/9erVy9SY/PbbbwUNEcEdm2yySWg8syJAe+yxh4wdO9ZoxTD9NhRVV60DKO6GtPfee9c5iXOoxw38yCIB1CjghbMaVyNKB0AAACAASURBVNZCbx4ROlZr/UUYakUuIaCLxNDs5Xy4sq6LBYP4PKcVAcrxIXnBKyvnt+P01uueWQKIfwhlg4gYO+ywwxYhgFdeeaX06dNHbr/9dtlwww1NJQhII4EQyyyzTChMsyJAJ554ogwZMsSYVA4//PBIphQfg0AYE2ltrHm7adOmJvo3buCHEsBQy6PBTj4fMLU6tjTXX7zZTu9q/Hr79+9vKhfxYdetW7eiwSA+z2l66ES/c17wysr5HX2mcxIFzKEf1ADyxbjGGmuYpKLnnnuuwQ8TGEmBIYYNpUEpBDorAkTU73PPPSfDhg0z/n8NtWppIKJuSD169JCbb77ZaHVoSQV+KAGMs+XUrpYt3lvHv7pa6y/+yNO5A6T3nHPOMVYc9nRcWdjLCv16o+4f6Yza/7vmBa+snN9xJCqzGsAgKIUE0Na9nThxotk0bKMKBqXBIEJhWlYECM3YzJkz5ZVXXjGm8CwQQA4HUr3wJ/OPfyM/SQR+KAEMszoa7uPzAVOrY8ujBtBK2KabbmrKV7K+Sexe6MLi85zGW0npXJ0XvLJyfseRglwSwJdeeklat24tn3/+udEE2kYKlBkzZsiYMWOKYoqWkB/buJ4INNIQQKJqsf3444+y0kormaF/+eWXhgCXIoBPP/204FNX6CDPAYQfzvfffx85qXIU4lnsGsbSqlUr+fDDD+t+vfTSS0vXrl1L5guLMn8+b5YuY1MfwIWz74JZFHmJc00YDeCcOXMSX39xxlyJa/FhJhiEttZaa5k9+dFHH617NLg1tG9VYny19oy84MX5vc4668hnn31mggTz2HJNANF6rb766nXzTjoUhGH06NFFZeGSSy4xgSOFDR+zUnmofBYsSBKJVSF++ENGbfjhHHXUUV4QQLR8t912W92rUDGABf72228nfjjWKmEonGclgNkggHfddZfwsZO31rdvX5PmCROwjWbPGwb6vm4I8LGE/7sSQDfcaq53UibgLGoAOTCOP/54IaUCJdFKtVJfhj5oABnDeeedJ4MGDTJJrWm25FtDDuJxhTlLBBDNLg1tiZaCq800MHnUAGLFQLt/7733GvnlA/Cqq66qC+bLi0Yr7l5mr88LXqoBzHkQSPfu3Y0TMY3EoiRBzlsQSM+ePeWyyy4TtJ84U5cjgE888YRJulrMBIz/TbVMwJA/0kKQz9A2av2i/dt8881j1fuNiklSG3LU+/hKTn0dFzjX6tjy7APIvBERTHk45o+PF0p6kQbM9zmNurbTvM7nNZDke6sPYIYJ4E8//VTnA0agx3XXXSe77767SQKMnwhE7/LLL5ehQ4fKBhtsIJgQxo0b500aGDZ0iBlFzxl/3IoVDS2cDh06yP333y/XXnutEDUbleykeQCV25B49i677CJvvvlmPfJHOp+kgz4K8Sk3tiQ3LNd7+To2X8flO1kI4wOYxgeYq9xVo/9ee+1l1j8aUBo+3tYv0Gd5qwZW5Z6ZF7yUAGaYAELmIHyFjQoQ+LrZRNCYC4OJoIkoC9vSFCC+aPEthMiSnLlz586JBzBAnCiE/dVXX8khhxxicClWA9jiUa0DqKHnWpKMGRt/zmArlRcs7PyG6efzZpnU2NZee+26KGqLCZjjbB+lNTQuZJ2cnSRvp9nDvNgzHn/8cbn44ouNXyc+X9dcc01dN1I+8Tu0vzyLBPDk+cQdoFyzYxswYIAceOCBcvrpp9e7hGTD+AKzXirdqrX+Kv2eUZ7HfnnHHXcIVX+w5lAj+NRTTzUfzmgEG7JcRHlW1q9Jat/wHac0z2/f392OLxdBIGlNRpoCxBctWe7ZzNBkbbfddkWz3Md5N4I/0PzRiAQ+4YQTSpLMah1AxZ4L+cPhGw3p/Pnz68HAQU8UMD6NpQhtHOzCkOIk7h/nHi4bOXLGIUrDdLbEEkvUPRoCOGrUKHH5OCo17obGhY8tWhtkEfkvRQDff/99IXAF7fW///3vegQQnzByPkIAea82bdrIRRddJAcddFBZOO3YuLetJGQvev311+WAAw4Q1n01ysRVa/2VBc2DDvZjEBJINgMagXn4N2PdUQIYfpJc9o3wd/Wvpz2/UYKwnnEb4CdPTQlgjNlOkwAiiGS5p5HfCk2E9WmJMeR6l2ImISUOhIl0OC1atChJMqt1ABU+l81+t912M+Qv2Djw8ftL0+evEHufN0uXsZWKAi5FAB988EG58MILjZYF7R0aFwgYGpiGWrlxTZ8+XbbZZpuSBNDeG20cmsOgBjD4XGSFACeq/qDRK2wffPCBSQgPaYAsEhWIiwgElBQRBMSg9aMRaACxTHodhl3P1Vp/YcfnQz/mjY8IPiaIht5xxx2FqlBKAMPPTrn1Gf5OfvdM8/z2+81/H50SwBgzlaYAEZBhK5JwIKWRwgTT2COPPGK+fvCNbKgGsIWoWgeQfS4HOV/zmKq//vrrejMHiSXxMz6NaflLFhMVnzdLl7GVI4A2kbbFgJQbmNs23nhjk0AcP9p+/foJgVWWALZv375eLkZ7Le4XmG1xxyimSUuCAPJhgwkQTSHEDU13oQkYzfEOO+wgw4cPNx8/pDIiETqacMZHlSCiyXkvtIx8JFFekneuRqvW+qvGu0Z9JlpsUkB988035ha4zgwcOFAJoAOgLvuGw22965rm+e3dyzYwICWAMWYqTQHq2LFjXVoDahVTozjphuYGQkUuxE6dOpUlTtU4gNDg4M+10047mTJ1HMSFrZIm38Jn+7xZuoytHAEsZgIm2e5NN91ktGQ0AhDIJ+mTBhD/1kMPPdRoAAkUCrZ3333XaBpZX7bxDnwYkUYE8oimmXQRDzzwgPzjH/8wBLBarRrrr1rvGvW51hRMcB8fiU2aNDEkEE1gsewFUZ+T5etc9o1axiHN87tWcFECGGGmOAj4wWT00UcfJZ5IkgXIxsVhRMOUgZkrjBO7y+ugocGEFyYCmPtW4gBiA8dfC0d+NEzz5s0zP5gYIRbBVg2TrxLA3xFAe8w6eOqpp4oSwGpqAIPzdMUVVxgSB1kNNsqH7b///vLpp5/W/XehjKMhRKtEUAiJziET1WqVWH/Verekn4t2GX9AGh+4zJ8SwHAoKwEMh1MWeikBjDGLaX1B4K+Cszn+bJAfGpHKpcq0RXkNNB/4QKHBwXemXEvyACokepgFIbpo+AqJnh0XBJh+NFvdo9ImXyWAvyMwe/ZsEwn86quvmmjyG2+8UUi4XW0NINpyTNLICGOB5EEIyHUZbKwtAlsuuOACo12mTZ061UQhH3HEEcY8PXjwYGNCpGIOJLKUb2O59RP390muv7hj8f169jPcANBs8/FI1Dp7ajWCd3zHqpb2tCSxTOv8TnKMad9LCWAMhNMSICJ+X3vtNUOI2MAgPfgAJhWFySvPnTvXRBdzbw5ykmCXa3EPIEgffo0TJ040hyljCNMaN24sJKwmbyMEkYN96623rkiUb7nx+fy17DK2cibgQh9AtGn4ZBKFi8aWyN22bdsac72do4awKzUu5vWLL74wQRlobkjlhI8ebcsttzS+XPjikebp6KOPFmQKGSYJOUFTRPqS8oUDn8MePz80kYyrmAadDyD8FtEC0pfIUcgi/rBcD4FkHBDCIUOGlBOHVH8fd/2lOjjPbo7WFl9hG0lOhSDkBLKfdmYAz6BwHo7LvuF8c48uSOv89ugVyw5FCWBZiBrukJYA4Zc0bdo0c/DMmDHDmF6JZNtvv/1ijLb+pTjx4/C+6qqryqxZs0LdN7gx4BxPpJ1tHMQEYZQqRUVwBloiyEZDjUMagmd/+DdEFU0MjvlLLrmkiebkXvx/tRuY+Fpo3mVszInNmzl27NjQpeAgSHYehg0bZhKrQ85KNZdxVXp+a3VsaZZirPQcJPE86wtIMB1/Z59j78BiUK0o7iTeqxL3UAJYCZT9eIYSwBjzkBYB5OsVrQcaCJuegqTQVLVIqnE/TGLUf7U+XOXuHdwYcKrv1avXIpeUK0b/0EMPCc73K6ywgtG24OvIz2qrrWb+nbSfY7l30t/HQwANIIERfBBgHu3SpYv5ENBWWQSIYMZHMa+VQBpCmyAe0sKg3UVLjRb5mWeeqezk1NjTlADW2ITFGK4SwBjgpUUAg2XgiGJ86623TPUBzFhJtb/+9a/GKf6ss85qMIda4bOS0ADec889Jt0GP5h22Zj5k69zNEmQQUw0mAKp08z/1apWJqm5inofX3HzdVzgXKtjUw1g8VXCx7SNCObjEhcUAkK0NYyAEsD8SIcSwBhznRYBDA4JLRvkjwS1mEGTaBwWm2yyialogIM8pCyMX0xcHyRLbPFvxP+PpLrbbrttrPQzSeAR5x4+b5a+js3XcVkC6GvS4LjrL46c1+q17DlYKx5++GGT1gdLA76jlcwVWmvY+bw+k8SyEud3kuNN415KAGOgWgkBwvEc8gdR42BKouH0fsMNNxinaBJAh60zXK0DyOcNScfmLpGKmTtm5cgpRIdAGDUBL4ot8kYybywKNNxPcKdRX8Dicujz+oy2copfVYnzO8nxpnEvJYAxUK2EAI0ZM8YEf2y22WbGFJxEI3UH6S7wMST6t1wJOPtMJYDFD5da1BglIUdR7+HzAVOrY1MC2LA02jkl1Q84YQqGLPNhrZrA2trTou45xa6rxPmd5HjTuJcSwBioVkKA3nnnHUP+yAGIkzcOzTT+TboY1w0MZ3387CiVxCZIeo9yJeCUAJY/XHxMMusrmfF1XOW0bDG2ikQurdYHWCKDr+JNLG7UUyf9FJaPsOUvqzjsqj3a5/WZJCiVOL+THG8a91ICGAHVtCuBBIdENQxMFjQbNMHfSZNC1CxftWFNGXz9Hn/88abKBveiygElksKSyGodQD5vSDo29wWkmLljVo6cqgaw/Efayy+/LDfffHNd/lE+hDfffHONCi6Azuf1GW3lFL/KEkCS2PNBcNppp5mfPDUlgDFmuxJfEHytEglbLGmy6wZGRBy+fyxwkkx37do1NHksdwDZOrCfffZZqIASF9gZL6lq9tlnH+8y+evYXGZyYV/FzB2zcrjZPJx8MKLZ1/Y7AkFCQyJoSCDJyjEFN23aVKi7HvYjOA+45o0AcmY1a9YsD1O7yDsqAYwx7ZUggGzsa6+9tikFRyNdik3ADDEkrUFYDaCtMMJ9iIYjEtglJ1apjcFiEQNOvVQRUARiIpDnw6wh6IL7FgnPqVxD1RhSUFEmjgwIYd1gYk5PTVyuBLAmpimRQSoBjAFjJQggWjuqZ/z666/GbEt1EDYuymVB4Kh3GSaFC6+58cYbmwojaP8gj66bXqmNAd/CmTNnmvvaZM6keCHlS6lWts8PP8gPvXvLmoMGyWdLLSXLNmokQiWRpZde+NOxo0jv3nWPKHs/EZN6pty4uGGYflbzUkzzGdR07bTTTok9M4mxBeckzHuGfWaYfsUwa0grmOTYwtyr1HwWynGY+4XpEwYz+gTHBnEJasWxFFCVhTJ5uIdo+x2BYvsW1Zao+UwjE8JWW23l9DGcZXyVAGZ5duu/mxLAGHNdCQJIUXMCQRZffHHjvAyJoyTawQcfLFtssYVMnjy57BtwcJx99tl1eQRbtWplyn65mj1cNwaijan6UaqV7fO3v8kPw4bJcl99Jd8vtpgsu/LKCwng//2fCJVR/v53kWWXrXtE2fuJSJg+3DBMv1K+V0G8mKtyWIR9Zth+Yf3Cwrxn2GeG6VdsXA3JVpJjC3OvsJiFec+wfcL2C44NAuhr9HnZDanCHYrJFh/WJIS2rjUQZ4LsXPfECr9KRR7nus9XZFApPKQS53cKw070lkoAY8BZCQEKloVjYaK1gwA2b97ckEK0bldccYUhglTP6Natm/HzmzRpkvmqZUO79NJLhcAV/F6WWGIJoQpIWLNxEB7XjYFnlnOqLdnnhx9ENttMfpg1S5b79deFBHCJJQiBFjnmGJGrr15k9mI/M3DHMPcKSwCpSVoOCx4d5plh+4UlM0k+M8zYXAhgkmMLc6+wmIV5z7B9wvZTAhhtsy62b4ElSfbxB8S6QhAAwXYuQXXRRuP/Va77vP9vVHyElTi/fcdGCWCMGaqEAAXLwllCh5mVupb4BR566KEmyz1kEOdvAkM+/PBDU5cVk/Faa60lb7/9ttnkaEQOo41y8f2zEFV8Y/jb30T695cffvlFlluwQL5v3FiWbdpUpEOHRTR/MaYx1qVhCSAHTKWbC5mp5NhcCGAlx8WzfMWscGyqAQwvGaX2rdatWwvRwVhX2EPZN/OeH7Di+3z4qUy0ZyXO70QHnMLNlADGALWaArTnnnvKc889Z/L4odmj4fuDL55twbQx/B8BJOQPdPX9qzgBRPN32WUiQ4aI/Pqr/OcPf5DLv/1Wzl9jDVnynXfqmXxjTF8ilxKQc/nll8v5559v8A22am+kpcaWyMtHvEmxcVUbK/sqvmLG+IJjY62rCTicAJaSLSwst956qxA9TcNCgiYw6h4ZbkR+9/JlLaaNUjXP77TfLez9lQCGRapIv2oKED591157bejRQwYJFqEEUlQ/l9Q3Bkv87rtPZM4ckcUW+z3g449/bNDsGxqECndMHa8Kv0+aj1Os3NBVvMLjVQora2HBPYAIYRqaQHwCsZyEDbALPxr/e+ZFtqp5fvsiBUoAI8xEJRNBNzQ8vlpPOukk82vMQWgEcGjGhIE5I5g3kKhcTJBRff/sGFLfGDD5Dh8uwtf4f/8rstJKJQM+IkxdRS9JHa+Kvk26D1Os3PBVvMLjFQYrPqjxnZ43b565Mdp8fK2j+EqHH5mfPcPg5efI3UalBFBECaCbzNTrXU0BOuGEE+T2228348H3b4MNNpBPP/3UmDBYwKSLwRcQkzD/xu/v2WefjfVFm9rGEDT5Qvz+8AeRr79eGOlbIuAjxtRV5NLU8KrI6Cv7EMXKDW/FKzxeYbBCE7jpppuaUnHsmWgBd955Z+Nmk7cWBq8sYFLN89sX/JQAxpiJagoQPoDkAORLFa0f5WzIOWajf4tFA8c1ZyS+MTRk8oUALlhAxIpXAR+uopI4Xq4DqKH+ipXbZCle4fEKixX+gMOGDZOvv/7akED8pfMYEBIWr/Az4GfPap7fviCiBDDGTFRTgIqlh0nbXJH4xlBg8v1gueXkuO+/lzkisvwqq8jtjzwiLbfbrt4MsTGfc845Mnr0aGOuIYqPfF5oPtNqmM4fffRRmTFjhvELQlNQrA0ZMsSk5GGMEHRMSiTr/fOf/5xaCbswY5s+fbqpAc3HAZri119/PS2o6t03zNjQsBBAgwbm559/liOPPNIE1dhk4mkMNMy4iAzt0qWLeTxy36ZNG5OQvTDQJ+nxhRmbHRPR/z179pQ//vGPFZvTpN+3EvcLu29Zf8DbbrtNvvnmGyODZFtg7aS9t1YCh7DPCItX2Pv52q+a57cvmCgBjDET1RSgYulh4mr4ykGR2MbQgMl3jwUL5NhllpHjTz5ZHth+exPkwkEcbIMHD5b7779fRo0aZUgVX+gtWrQQCHFabfz48bLuuusaEsBzixHATz75xJBRSNYqq6wi7dq1k/3228/UGk2TAIYZG4cZSaip13zxxRdXjCyEGRt44cKw5pprmnRG/fr1M/kSScqbVgszLsgo8sUPhL59+/ay2267GT/aNFuYsVkCyJioYsFHSaVIfZrvnta9XfctPt5eeOEFQ/whgaTdOvnkkyMHz6X1Xmnd1xWvtMaR9n2reX6n/W5h768EMCxSRfrlTYBibwwlTL5f/vabbPjvf8uc7t1l8YsvlgXLLGP8GF955RVTC9m2008/3eQ2RAtIe/DBB01C17feeivGTIa7lHE0RADREKBpI0CIRoqOK6+8Unr06JEqAbQjLzU222fcuHGmIkylyUKYsVnZGjNmjInApF5r2i3MuBgDaZYOOeQQOeCAAwT5q0QrN7axY8fKueeeK3379pXzzjuv4nNaCQySeobrvsXHJP7VmIIJqKORGoYMCnnQBLrildQ8Vfo+9vzGfYoPPT48wyTrr/Q403yeEsAY6CoBDAleIfEj0o6fQJTvGwccIMe89pq8O21a3U232247ueaaa2SXXXap+z98dKiqgQkYc1ynTp0E0oBGNO1W6lAmYhAtliWmaNwOPPBAuf7665UAliDOds44dEaMGGHIDOSZqjZpt3IkC0JPyUWCqSB/w4cPT9XVIPi+pcZGhD8BCvZjSAlgaUlxJTTWuoK1gfrKNrcq2Ra6du1qzO5pW1vSlv1S93fFq5pjjfPsvJ3fxbBSAhhDgvImQM4bQ0PEb6mlUKvUi/J9o2NHU4ZpypQpdTNCUAtm4CAB5Iv8sssuk5EjRxrfJ2ol33TTTeZrPe1WjgCimbSmaN6jbdu2SgBFjAa3Ic2pnTPmb4cddjCmtjTN+WFJVrDfTz/9JEcffbR07NjR/FSilcIMEkJVIFwNWANKAJMlgPZuyOEdd9xh/AFtehjyqWKZQA6i5lOthPzEeYbzPh/nYVW8Nm/ntxLAhIUtbwLktDFA/vbcUwTT7Pz5C6N6LfFbfHGyrdaL8v3y3/82AQoQAVIwQPSKmYALp/Cee+4xZld8dtJuagKOhnA5AoiWZZ999pF11lnHRGFWqmxeuXEF3xY5Q0P52GOPRQPB8apSY9t8883rgmbI/0lJSMxYwY8nx8dlurvTvhVAwmoCybmKT6gtp0kXrA+rrrqqdOjQIXNEMCpetSZEeTu/lQAmLKF5E6BQG0NQ6/evfy1E/H9+NCavXwHxk2WXrZsVnOyJuOPngQceMOZffACDDX8sfkjRMGfOHKMBRCOIti3tVupQ/vjjj02QSDAIZN9995VmzZqpCbiEBhDtGjjheN+qVauKYGXlpNR8fvTRR8bXFDLKwY8GkA+UPn36pC1m5v7lyKldi6oBLD8dofatErexGRfQBHIv2yDfEEHqr2eJCMbFq/yM+NEjb+e3EsCE5M6HSiAJvYrTbUpuDMXMvb/+SoHihQSQsm7NmpXM6/fee+8Z8ocWEB8btEGbbLKJifQ96KCDzM/s2bNl1113FVvn+Mwzz5RTTz3V6T1cO+MY/Mgjj8isWbNk5ZVXNnkX8QsLjot74jNE4Ac+Q3vssYdJG/L000+nSmrCjI0asuutt56pJUskMKZDap2SbiXNFmZsEKpLLrlEWrZsabRazDuH6YUXXpja0MKMi5Q++G8iZ5j/mE8CAKi9nWYLMzaerwQw/CzEJTRWE3jffffJV199ZdZRYc110lBlhQjGxSv8zFS3pxJArQQSSwLzJkBFN4ZSfn7U1oT4NW4sssUWIs8+K0GNXyzwa+DivGykSUyFYuWGouIVHq+ksAoSQT5EIYLBhusKGuNaJ4JJ4RV+hqrTM2/nt2oAE5azvAkQG8NTDzwg+73+ujR+4w2RuXNFZs0S+eabhVG9/JTw88sT+QtqadLMA5iwSFftdnk5dJICWPEKj2TSWFkieO+99xqrQNAszKjIHYjmeMstt4xdfjP8WybXM2m8khtZsnfK2/mtBDBZ+ZFcCdAPP8j8Xr3kP3fcIX/4+eeFlRqshq9MgEfeiJ8Vs7xspEksK8XKDUXFKzxeaWFlieDdd99tXFNspHBwZOS0JKl5LUUMp4VX+BmrTM9cnd8NQKppYGLIWuYFCPMuCXkfeUTk229lwbx58tt//yuNfvtNFsOsS3Sv/bNIZG9eiZ8SQPdFlZdDxx2Z4lcoXuGRTBurIBH8/PPPFxmYrSZCQBg+xOQ39ZkQpo1X+JlLt2fmz+8Q8OWeAPbv3984d3/xxRcm4IBSVCRZDdMyK0BBv76ZM0V++838LFhsMZn/f/8njefNk8UsQH/4w8Igj5VXLhngEQbPrPXJy0aaxLwpVm4oKl7h8aoUVhBBotnffPNNmT9/fr1AETtayCDRw5SXQztINgOizInmJu+pD8SwUniFn8F0ekY+v/v3F7n6apEvvhDZZBORfv1EQnKGdN4k+l1zTQDx4SAaEhJIHddBgwYJOZ+o4kAKiHItsgCVu3Hav7cE77XXFvrxLbmkCA7N9s+gX18gkpfcfL81biyNllxSFltxRZHVVhP54x9Ftt1W5O9/z1WAR5gpystGGgaLcn0Uq3II1f+94hUer0piFQwUIU0Vz7amYVtWrtjICSCBHBIFj5aQ+0AUidhfeumlTcBJpUhiJfEKP4vJ94x0ft97r8gxx4hAAlu3Fhk0SOTWW0XefVckBGdI/i3i3THXBHD77bc3JacGDBhQh+LGG29syj+FSZERSYDCzFfQ9Ir2rUkTkaWXrk/SCklbsX///LPIV18tfGLwHpbgWT++QnMu/2/9+rgHbbHFZEHjxvLz8svLUsceK40vvlgJX5m5zMtGGkaky/VRrMohpATQDaHfe1dDtgqJIOSOZNL8aYlgKUIYfFd7DSSRBiFcbrnlTA5C0tGQmgiNo/2TknUQRlsdKUgiuYbflfoTwnr++eebuuFoKi0BDXOtvTfvSsqchUdPk1j3gAi3a9dOevfunWgJvkjn9/bbi1CmMsAZZOONRQ4+WCTltFpR5b/UdbklgKjdEez777/fFHq3rVu3bjJ58mR5/vnnF8EN4Q6G/uPvQf6yTz75RJo2bZrY/DQ67zxpNHDgwnJpEEAaSZSDPneFpK3Yv0laaslc8B72/+w19t+F/8+GQx/+XH55mXfggfLUzjvL7u3aVaxaQ2KgVuFGHDzkAdx7771D4UWiYTbZYK45SlEhY7411sjFF19s8iM21EjY3bx5cxMJuemmm9Z1+/LLL2XDDTcU8j6S8Jtk0D169HDCyjc8Kj0eV9mq9Ph8el41saLKzVVXXSUTJ04Uajgj+1RusYQQcsP4IIOQOJr9Mw0MTfBeoBX7N//HXvTBBx8YgmkJaPBPblHs/3mPIMm1jyrXt6Hf2+shteTIJOl/Uo3zm+pDWPyC5zd7MD+LNKxhKGLuv18kwBmks8lJpwAAG5RJREFUWzeRyZNFinCGpMaa1n1ySwBnzpxpJv3FF1+UnXbaqQ7fvn37mgTEHE6FjYS1vXr1WuT/MRujtk+q7dSzp6yISnnBAmn0v01hQTChsk2sXObPxfDbY6H+b2D2HvzJ78wiFpHfGjUygR32z3lLLGH+/z/LLCMzW7eW9484QuYh+NpSReCkk06Siy66yJCmNBoHC+kpkmiXXnqpHHbYYcZvtlS75ZZbTGm/zp0713V7+OGHZdq0aaaGLYff6aefbpIu80GmTRFQBMT4BWJCRpNI8nb+tH+HSNqKSPz5yy+/1Ps3/xdMVJ0FPNOoww2+JPMvbHzYctYv0vCHR9Hz4osiAc4gffuKDBsmUoQz+I597gngSy+9JDvuuGPdPFGZYPjw4eaAKmyZ0QDawI0VVpAF+PEtsQQ7zu9/Lr20LNh2W/ntggvqmXmr+SXt+0IqNj5XvPjqHjlyZD1tmb0vlQaQTcgTphUqZRx33HHm13ypY65Bu8DBAZG01VG4juokjz/+uGyzzTZyxhlnGDJG/jK+fmnU4cXtgejE999/v46IUf6MgKhTTjml3ut9+umnpjIG1VBse+qpp4SPJw4jCN8VV1xhrqU0HmX60JLbGr9bbLGFcbEgPyKNL3v+jyjJsNrSWpSHJMfsKltJPrvW7lULWAU1hRA9a75daaWV6synQe0h68xWQyr802oVg5o41iQfgPzO/glJLPZv7te1a1fjG8+Zx7W2r9UIBv/NPQr/XajF5J6F9whqC4tpAC2J5XdYRbp06VJdDaAlgC+9JBLgDEJ5yOHDRYpwBt/XSm4JYBQTcOFkRvIhCCMRafsARgzcqIYvTRi4fO3jihf1X9nogibgCRMmCCSOTZAIdVwUpk6dasiaNSXtsMMO5qOlRYsWxs+If99+++3Gv5XrII4XQOZFjNZuq622MppGiBymWYgbWrhOnTrJ7rvvbr6KIYibbbaZIW6Uvgs2njVq1CghiIpGHWTI4ujRo42PDsSQcn3Tp083pI9x9OzZ05BMajszBp5ttZGYubkfz9ek2eGk2VW2wt01m72ygpX1K3zttdeMObmUT14cHzz1AWxgHagJOFsbBEEgFKDnS8c2/K1wOK1qEIinMGdlI60UvK54QQAhQkF/OTtWiByaP+tqsMIKK8jbb79tzEJo9vCpsw2TEb4ykDKuI8XRamh6RWTFFVc011mfF/xfSV0BAYRsou1Da4erwzfffCM33HDDInCxNiCI9nesH0wmpLWwjbG+8MILsu666wq1s8eMGSOPPvqonHzyycYpHFJqG9pDnnfOOecoAQwpnK6yFfK2meymWLlNa17wiqTAIQikVauFUcC/kwaRdu00CMRNzKrf26aBGThwoDED4680ePBgmTJlSig/rEgCVP3XjjyCvGwMkQEquNAVr3IEEDOR1cZBBF9//XWjCdh///2NRq1YgwAGr4MAvvPOO3VkLUgAuZ51gPkWbdxzzz1Xj1ja+0P8WCOsFxoE79VXXxU0ecXad999Z9IqkR8N7SPjXn/99eu6QgxvvPFGY55WDWA46XOVrXB3zWYvxcptXvOCV6Tz26aBIUgTMzB74ODBIlOmiKTku+02e269c2sCtjChvSBKCy0Jmhec0XfZZZdQKEYSoFB39rNTXjaGpNB3xSsKAcRvDrnFxHvssceaoWOChejxU0gADz30UKMxpP9nn31mrkUbhwaQds8998jf/vY3E3mM1q5YGzt2rIkAHj9+vPk1Pojk0YQwWu0l2kTM1LZBKPEvhMByfbDho0gpLczGSgDDSZ+rbIW7azZ7KVZu85oXvCKf32j/rrpqYSJoshtcf71ISM7gNhPp9849AYwDcWQBivPQKl6bl40hKYhd8SrmA3jTTTeZYIpCImc1gFwDAevevbvRAuJ8jYl1xIgRxsxbeB2kD6KIeRezMRrEI4880iREp+H/w/Vo8wjeKNZ4LwJWSG0ByaRhxsXPD+d0/Gvx+2MMtkEOMTVzX/ss+zv8DokqZkxKAMNJn6tshbtrNnspVm7zmhe88nZ+F5MCJYBua6Ne77wJUF42hhgiUe9SH/GCoBGYQWQfWm/KT5Gnb6ONNjJjR3OH7yBR8ET3NdTQmkMu0RbGaeTgImKZMTzxxBNKAEOC6aNshRx6xbspVm6Q5wWvvJ3fSgDd1kHZ3nkToLxsDGUnPmQHH/F66623jAaQFAyMD80haWNoRP+iySOvJalhSjXSQwwZMsSki4jTMDOvueaaRqOoBDA8kj7KVvjRV7anYuWGd17wytv5rQTQbR2U7Z03AcrLxlB24kN2ULxCAiViyKgSQMUrPALhe6pshceKnnnBK2/ntxJAt3XQYG+iHvnB1+mjjz4yzvQ442e95WVjSGoeFa/wSCpW4bHK0yHthkrx3ipbbijmBS8lgCLqA+i2Nur1zpsA5WVjiCES9S5VvMIjqViFx0oJoGLlhoBb77ysxbyd36oBdFsHZXvnTYDysjGUnfiQHRSvkEDlyOwUHpHSPVW2wiOpWIXHKk8fF3k7v5UAuq2Dsr3zJkC6kZYVCdUAukFU11tlyw04xSs8XopVeKyUALphVeu91QQcYwaVAMYALweX6sETfpIVq/BY5emQdkOleG+VLTcU84KXPb+pSkRqrNNOO8385KkpAYwx20oAY4CXg0vzspEmMZWKlRuKild4vBSr8Fjl6eMib+e3moDd1kHZ3lReaN68uUmeu/rqq5ftX+sdqBJBwl4qOpBIWFtpBBSv8BKiWIXHip6KV3i8FKvwWOVJtkiET7nKGTNmmFrleWyqAYwx66+99lq9eqcxbqWXKgKKgCKgCCgCikCFEUCBQ0WkPDYlgDFmnS/LSZMmyaqrrlpXNmu33XaTcePGxbjr75cmda+k7vPjjz9Ky5YthfJdyyyzTOx3TGpcDMTHe/mKl2LlJrqKV3i8FKvwWOVh3/JRHizu1CefPXu2bLXVVrm1aCkBdFuvZXtbglS2Y4gOSd0rqfv88MMPstxyy8n3338vyy67bIg3KN0lqXHxFB/v5SteipWb6Cpe4fFSrMJjlYd9y0d5SBp3txn3q7cSwITngwohSUUSJXWvpO6TNKFJalxMoY/38hUvxcpt0Ste4fFSrMJjlYd9y0d5SBp3txn3q7cSQL/mw+vRJE1ovH7ZBAaneIUHUbEKjxU9Fa/weClW4bFS2XLDqtZ7KwGs9Rms4Pj/85//yOWXXy7nn3++LLnkkhV8cm0+SvEKP2+KVXis6Kl4hcdLsQqPlcqWG1a13lsJYK3PoI5fEVAEFAFFQBFQBBQBRwSUADoCpt0VAUVAEVAEFAFFQBGodQSUANb6DOr4FQFFQBFQBBQBRUARcERACaAjYNpdEVAEFAFFQBFQBBSBWkdACWCtz6COXxFQBBQBRUARUAQUAUcElAA6Apb17kT5XnDBBdKtWzfp16+fed0FCxZIr1695JZbbpFvv/1Wtt9+e5N3b5NNNqmDg0i7s88+W+6++2755ZdfTL3g/v37S7NmzTIF2eeffy7nnnuuPPnkk+Y9N9xwQxkyZIi0atVKsSqYaSrlXHLJJTJixAiZNWuWqZd9/PHHy0UXXVRXOSevsjV+/Hi5+uqr5Y033hBqko4cOVIOPvjgOgSTwoX1+te//lUeffRRc++DDjpIbrrpJll++eVral2Wwuu///2vkaknnnhCPv74Y5Osfq+99pIrrrhC1lhjDac9Kgt4lZOt4MSfcsopZl+//vrr5cwzz8wdVjW1CFIYrBLAFECt1VtS27hDhw6mysfuu+9eRwCvvPJK6dOnj9x+++2G8PTu3VvYZN577726knBdunSRxx57zPRZaaWV5KyzzpJvvvnGHHCNGzeuVUjqjZvDgbJBYMP7rrLKKvLRRx/J2muvLeutt57pq1j9Dhkyw8EybNgw87Hw+uuvywknnGDkhw+MPOPFB8SLL74oW2+9tRx22GGLEMCk5Gj//feXf/3rX+aQp5188slGXlmrtdRK4UVlovbt28tJJ50kW2yxhflIhczwAYLM2RZmj8oCXuVky+Lx8MMPmw+0r776Sv72t7/VI4B5waqW1kAaY1UCmAaqNXjPn376yRxGaO04oLfccktDANFE8BXNhormi4a2j/rHHFJ8QbIBN2nSRIYPHy5HHHGE6TNz5kxZc801zVf5vvvuW4OILDrk8847zxzaL7zwQtH3Uazqw3LggQcaOUFDahtkZ+mllzayongtRGWxxRarRwCTwmXq1KmmROIrr7xitPY0/r7jjjvKtGnTZKONNqrJdVmIV7GX4GN2u+22kxkzZshaa60Vao/KIl4NYYUlA5kYM2aMHHDAAWZ/txrAMPt5FrGqycUQc9BKAGMCmJXLjzvuOFlxxRWNxoYC3pYAYlJBuzVx4kSj/bKtXbt2xoyEdoei2ph80fitsMIKdX34Gseshfk4C43DFDKLRuX555+Xpk2bSteuXY3mgaZY1Z9lTHADBw6Up556ymiO33zzTdlnn33Mh8WRRx6peP0PrsJDOik5uu2226RHjx7y3Xff1ZsY1i3rHG1sLbYwBPCZZ54xssa7Y9EIs0dlEa9iWP3222/GRM4ejiYejXCQAOYVq1pcC3HHrAQwLoIZuP6ee+4xWj/MJUsttVQ9AvjSSy9J69athS/GoD8NpiS+rvmCvOuuu8xhgmYw2NiA11lnHRk0aFAGUBKDDY1D9fDDD5cJEyaYjZP3O/bYY0Wxqj/NaLLwJ0VTjBvA/PnzjSsBlWRoitdCvAoP6aRw6du3r3HJeP/99+tNDGSc9WrnodYWZzkC+O9//1vatGkjLVq0kDvvvNO8Xpg9Kot4FcMKP++xY8eavZvfFxLAvGJVa+sgifEqAUwCxRq+x2effSbbbLON0dKgsaMFNYD2MMKkixO/bWi9uHb06NENbq5777230R6iBcpCW2KJJQxWYGIbDvaYm15++eU6QqNYLUSHDwt8iwh2wAdw8uTJhjBfd911gsZZZas0AYwrRxAaNPT46gbbBhtsIH/5y18El4ZabKUIIAEhfJx9+umnMm7cOKP9K0UAg3tUFvEqxAqfbEy+WHTsB31YAph1rGpxLcQdsxLAuAjW+PU4Ah9yyCH1AjXQ1LBxNGrUyBwe66+/vpqARaR58+bCJnjrrbfWzfqAAQOM9hQNaVKmuxoXqbrh4wMKyTjttNPq/g+s0Mrgg6Z4FSeASeGSRZMmiDVEACF/BLGBH2ZMgtFsy6tZsxAr3C+wYLC328Z+z79Zr9OnT8+tuTwr+67LeygBdEErg31//PFHY8oNNsxDmE8I+kBzw5di9+7d5ZxzzjHdfv31VxMBWxgEwsHOBkwjtQUpYLIUBHLUUUcZrWcwCARcXn31VaPNss77itVCaeIAhvARUWgb5qehQ4cas6TiVZwAJoWLddRHPgmIoPH3HXbYIXNBIJb8ffDBB8a8SVBasNnAhlJ7VBbxKiSAX3/9tdmbgw2/5mOOOca4BRAYlFesMni8l30lJYBlIcpfh6AJmLeH6NmDG/MRphLMK4VpYEaNGmV8jggmIScgm02W0sBg6t1pp51MUAtEFx9ATOGk2OjUqZMRFMXq9/VCzj+c8fGR5ENi0qRJJg1J586dDU55xouo+w8//NBgQHAVZnHSC7F2iFpNSo5Ia4Ip2frhgj+a7FpLA1MKLz5QiS7HrMkeROS5beCJ6waND5Fye1QW8ConW4UnWqEJOE9Y5e90r//GSgDzLgFF3r+QANqktBwiwUTQm266ad3VOF7j74UDcTARNGaFLDUOEJzn0TQQ4II5xUYB856K1e+zjXb573//u0lx8uWXXxpNMtG/PXv2rDuU84oXH1AQvsKGbyQfUUnhQmR+YSLom2++ueYSQZfCi1x2rMViDW0g+xktzB6VBbzKyVYYApgXrLJ0NkV5FyWAUVDTaxQBRUARUAQUAUVAEahhBJQA1vDk6dAVAUVAEVAEFAFFQBGIgoASwCio6TWKgCKgCCgCioAioAjUMAJKAGt48nToioAioAgoAoqAIqAIREFACWAU1PQaRUARUAQUAUVAEVAEahgBJYA1PHk6dEVAEVAEFAFFQBFQBKIgoAQwCmp6jSKgCCgCioAioAgoAjWMgBLAGp48HboioAgoAoqAIqAIKAJREFACGAU1vUYRUAS8Q4CEwNS2njx5shdja6hmbbnBUWFn1113NcnGl1lmmXLdI/+e5NxUaAGvpk2bRr6PXqgIKAK1iYASwNqcNx21IlAVBAYOHGgqvlARZvHFFzdjoPTUCiusYGrMBusk8/dddtnFlAzccMMNUx9vtQhgQ8+NSgDbt28vW2yxhamiknajks0PP/wgt956a9qP0vsrAoqAZwgoAfRsQnQ4ioDPCEDmWrRoIS+//LIhfLQnn3zS1Pj96quvhFJaSy+9tPn/yy67TCCMn3/+eUVeKQsE8F//+pesu+668vHHH0uzZs1Sx+3tt9+W7bbbztQLhsRrUwQUgfwgoAQwP3Otb6oIJIIA5sIzzjhDzjvvPHO/c889V+bOnSvUXb3hhhtkr732Mv+/5557yuqrry533nmn+enXr5/RBv7xj3+UPfbYw/x7lVVWkd9++03WWmstueiii+TUU0+tG+PEiROlVatW8tFHHxlS9P333xvtI2ZeapVus802cv311xttGa0YARw6dKhcddVV8sknnwhF76mL27VrV9N/+vTppobsgw8+KDfddJO8+uqrssEGGxjSuuOOO9aNY/DgwXLppZfK119/Lfvuu6/svPPO5t/fffedqdt7wgkn1MOVZx5//PGCBpBrH3/8cRkzZowxs1577bVy0EEHNTgP1113ndx9993y2muv1fXhGWeeeabce++95s/PPvtM2rRpIzwHfGk8j/FA5piD//znP9K9e3e58MILTe3qIUOGGGLOuDt37lzv+WCAtrHw/xMRFr2JIqAIeIuAEkBvp0YHpgj4iUCnTp1kzpw5htTQIB3nnHOOPPfcc0aL1KdPH/n1119l+eWXN8TqL3/5i9x2222GrGy00UaC7xnkhL5PPPGEucfZZ59tCFjQhMz/vfTSS+ZnwYIFhnituOKK0rNnT1luueVk0KBBhoC9//775v8LCSDk6+KLL5abb75ZttpqK5k0aZKcdNJJAsk67rjj6gggGs1rrrnGkD8IE+Trww8/NCbuF1980Zixr7zySkPcnnnmGUOW5s+fbwjXL7/8Yv49evRo8zsaY/vDH/5gCCBaPAjotttua7AAhxkzZpjxFmsHH3ywwWnAgAH1CCAaVvwCL7/8cmnUqJEcffTR5p1GjBhRRwAfeughOfbYYw05Z9zgDmFl/IcffrghkBBACPWaa65Zd/8jjjjCkEMIpTZFQBHIDwJKAPMz1/qmikAiCECsIHCWAEFmMPOiAbzxxhsN+Rg/frwhLFZ7V/hgSBbE8ccff5Q//elPhpyh7UNT17x58zqt4AUXXGA0dpDLQw45xJDHJZdcsu5266+/viGfEKRCAohWEeJ25JFH1vXv3bu3IZ2QSqsBxP8NskR79913TWDE1KlTjam7Y8eOxsdx1KhRdfeAfPFv3p9WygcQrSamcBpaUoI6eP5+++1XdC623HJLOeyww+r5/1ktI6R0vfXWM9f179/fkLlZs2bVEcBx48YZ0zEEkcb40bAyFzRIK+SU9+W9bMMPEPyZP22KgCKQHwSUAOZnrvVNFYFEEICIoC2DRBEMgll2ypQphoxAuvg/TJ2YHdF20SAYECUiTvETxOz7888/m+tatmxp+vAnGixMy5ARtFf4pq288spy9dVXm/9HsxZsaODQFEL0gkQMf0TID/0tIeK6efPmGRI0e/bsOgI4YcIEo6GjMXYI7fPPP280Z2jZIJ5oHW2D5PLvMATwvvvuM9o323g2mkDes1hDQ3riiScaTG2DAJ522mmGQNo2cuRIQxTBkYYJmHfG3GwbBHzTTTeVf/zjH3X/B7k+66yzjCncNrSeaC/RwGpTBBSB/CCgBDA/c61vqggkhgAmxC5duhjCBDFBI0WDwEBwMFXic4dZkd/z93322cf4+DVp0kQ+/fRTQ/Aghmi9aJiOMVO+9dZbxlQLoXzsscfM7yB43BctV2HD1AxJDBJACN5qq61mfA+33377epc0btzY+P5ZDWBwDJA6TNMQ0N12282MrVAjh48dpuUwBBCihlnXNsaK7yOErVhr3bq10Zz27du37tfWB9A+j1/gBwkxxTRuCSC/5/9ts+PnebYxD/gR8mMb84hfYVDLmZig6I0UAUXAWwSUAHo7NTowRcBfBNBgQdCsBrBDhw5msJhiMXNCCPHRo98bb7xhAjYgfdb3DGJ2zDHH1COAmH8J9nj99ddNIAl+cNZU+fTTT8v+++9vfPMgMcVaoSkW/7tTTjmlwXQqYQggz4fAWiLKcxk3/7aEDLJG4AYRtcFWLA1MOQJ4+umnC5HAQSKXNgHEtxKyaE3V/kqdjkwRUASSREAJYJJo6r0UgZwggGYPs+R///tfQ1hWXXVV8+YEJaBRwrfPEj5Mk5Cxbt26GQ3gO++8Y0ycBG8EtW9cjwYMwoXvIP5+1uSLpguTLPdFG4imEfMw/nRo2CCYhQQQXzdMnWgjIY9ExkIuIa34vYUhgDYIBBN027ZtjS8iJlP86bgP7a677jLE95///Kd5TwgwfopRCCDEEhMw74amkpYmAcQMj/aUgB6IoDZFQBHIDwJKAPMz1/qmikBiCFjyRKABARO2QQbR8hGsgLbONjRkBHR88cUXsvXWW5vUJETVFhJANIcQSzSHw4YNqzdeyB/ki7QtkEpMvJBCCB7PLBaMATmDvBHcQfqZzTbbzJg/MZ+GIYAMgKCXXr16Gd9FzNaQTSKLeRcaxJLI6GeffdZoBYNpYFxNwBBL/PTwn+RZaRNA5oV3mzZtWmKyoTdSBBSB2kBACWBtzJOOUhFQBDxBAP9ECFMwZU2SQ4MEP/LII3VpdpK8d+G9iMSGEB911FFpPkbvrQgoAh4ioATQw0nRISkCioA/CJAjcO+99zYaRKqeEEULScNUm0YjUhkzN+brtGsBY17GHI+5WpsioAjkCwElgPmab31bRUARcESAABeijzFBE6RCouVgxRLH22l3RUARUAS8QEAJoBfToINQBBQBRUARUAQUAUWgcggoAawc1vokRUARUAQUAUVAEVAEvEBACaAX06CDUAQUAUVAEVAEFAFFoHIIKAGsHNb6JEVAEVAEFAFFQBFQBLxAQAmgF9Ogg1AEFAFFQBFQBBQBRaByCCgBrBzW+iRFQBFQBBQBRUARUAS8QEAJoBfToINQBBQBRUARUAQUAUWgcggoAawc1vokRUARUAQUAUVAEVAEvEBACaAX06CDUAQUAUVAEVAEFAFFoHIIKAGsHNb6JEVAEVAEFAFFQBFQBLxA4P8BqSDkGoi7Td8AAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the data\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1.scatter(merged_df2['Wavelength'], merged_df2['EQE'], s=6, c='k', alpha=0.8)\n",
    "ax1.plot(merged_df2['Wavelength'], merged_df2['EQE'], c='k')\n",
    "ax1.set_ylabel('EQE (%)')\n",
    "ax1.set_xlabel('Wavelength (nm)')\n",
    "ax1.grid()\n",
    "ax1.xaxis.set_minor_locator(ticker.MultipleLocator(50))\n",
    "ax1.yaxis.set_minor_locator(ticker.MultipleLocator(2))\n",
    "ax1.xaxis.set_tick_params(which='both', labelbottom=True)\n",
    "ax1.yaxis.set_tick_params(which='both', labelbottom=True)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.scatter(merged_df2['Wavelength'], merged_df2['Integrated Jsc'], s=6, c='r', alpha=0.8)\n",
    "ax2.set_ylabel('Jsc (mA/cm$^2$)')\n",
    "ax2.tick_params(axis='y', labelcolor='red')\n",
    "ax2.yaxis.set_minor_locator(ticker.MultipleLocator(1))\n",
    "\n",
    "# Add a table with parameters\n",
    "table_data = [\n",
    "    ['Parameter', 'Value'],\n",
    "    ['EQE max', \"{:.2f}\".format(np.max(merged_df2['EQE'])) + ' %'],\n",
    "    ['Integrated Jsc', \"{:.2f}\".format(np.max(merged_df2['Integrated Jsc'])) + ' mA/cm$^2$'],\n",
    "    ['Band Gap', \"{:.2f}\".format(band_gap) + ' eV']\n",
    "]\n",
    "\n",
    "table = plt.table(cellText=table_data, colWidths=[0.35, 0.35], loc='center right')\n",
    "table.auto_set_font_size(False)\n",
    "table.set_fontsize(6)\n",
    "table.scale(0.4, 1.0)\n",
    "\n",
    "# Create a second axes for the additional plot in the top right corner\n",
    "ax3 = fig.add_axes([0.23, 0.2, 0.35, 0.35])  # Adjust the position and size as needed\n",
    "\n",
    "ax3.scatter(hv_subset, deqe_subset, label='d(EQE)/dE', s=6, c='k', alpha=0.8)\n",
    "ax3.plot(hv_subset, deqe_subset, c='k')\n",
    "ax3.tick_params(axis='y', labelleft= False)\n",
    "ax3.tick_params(axis='x', labelsize=8)\n",
    "ax3.set_ylabel('d(EQE)/dE', fontsize=8)\n",
    "ax3.set_xlabel('Energy (eV)', fontsize=8)\n",
    "ax3.xaxis.set_minor_locator(ticker.MultipleLocator(0.025))\n",
    "ax3.vlines(band_gap, 0, max_deqe, colors='k', linestyles='--', alpha=0.8)\n",
    "ax3.grid()\n",
    "\n",
    "ax3.text(band_gap + 0.01, 2, \"Eg= {:.2f} eV\".format(band_gap), fontsize=8)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "save_dir = os.path.join(folder_path, 'EQE Plots')\n",
    "if not os.path.exists(save_dir):\n",
    "    os.makedirs(save_dir)\n",
    "\n",
    "# Save the plot as an image file\n",
    "plt.savefig(os.path.join(save_dir, file_title + '1.png'), dpi=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8afddaa1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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