Make_Plots.ipynb

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   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "python tools loaded.\n"
     ]
    }
   ],
   "source": [
    "import os, sys\n",
    "from python_tools import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ALL = slice(None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "gst_df = pd.read_hdf(\"/Users/wketchum/Data/LDMX/base_generation_with_weights_02Mar21.hdf\",key=\"gst_df\")"
   ]
  },
  {
   "cell_type": "code",
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      "text/plain": [
       "           iev  neu  fspl         tgt   Z   A  hitnuc  hitqrk  resid    sea  \\\n",
       "0            0   11    11  1000220480  22  48    2112       0      0  False   \n",
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       "4            4   11    11  1000220480  22  48    2212       0    -99  False   \n",
       "...        ...  ...   ...         ...  ..  ..     ...     ...    ...    ...   \n",
       "999995  999995   11    11  1000220480  22  48    2212       0    -99  False   \n",
       "999996  999996   11    11  1000220480  22  48    2212       0    -99  False   \n",
       "999997  999997   11    11  1000220480  22  48    2212       0    -99  False   \n",
       "999998  999998   11    11  1000220480  22  48    2212       0    -99  False   \n",
       "999999  999999   11    11  1000220480  22  48    2212       0    -99  False   \n",
       "\n",
       "        ...  wght_FrPiProd_pi_p1  wght_FrPiProd_pi_p2  wght_MFP_pi_n2  \\\n",
       "0       ...                  1.0                  1.0        1.079574   \n",
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       "\n",
       "        wght_MFP_pi_n1  wght_MFP_pi_p1  wght_MFP_pi_p2  wght_FormZone_n2  \\\n",
       "0             1.044989        0.950952        0.901745               1.0   \n",
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       "...                ...             ...             ...               ...   \n",
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       "...                  ...               ...               ...  \n",
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       "999999               1.0               1.0               1.0  \n",
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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "gst_df"
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  },
  {
   "cell_type": "code",
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       "            '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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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",
       "    var resizeObserver = new 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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\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",
       "\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",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     "output_type": "display_data"
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LH42WB133HF9AoDf/OY3i9DJX/3VX7XoVQ2up6enz2uuNwC4du3aOOGEEyKlFGPGjIm//du/jauvvjoWLlwY1113XfzN3/xNjB8/vvjd7LXXXgM+1ty5c2Pu3LmxePHiup5TLZp5rB3Z0b/Fxx9/vNVPcae00+84R2vWrImjjjoqxo0bF9/97ncHXfvQQw/FjBkzin9755xzTsyfPz9uvfXWuPHGG+NjH/tYHHTQQcV/x7vvvnu8+93vjtWrVzfs+W7dn77whS8Uxxk1alQsXLgwFi1aFOvXrx/wvo8//ngsWrQo5syZEymleP/73x+LFi2Kn//85/2uv+eeeyKlFFOnTm3Ic7/22mujo6MjTj755Ni0aVNDHhMAAADIjwAgAAAAwE7aGmw56KCDalp/zjnn9AkAPvPMM/GWt7wlJk6cGN/5zneG4Vk21tbXXE8AsLe3N44//vhIKcUb3/jGAb8Gs6enJ4466qhIKcXo0aMHfLwdXbWrkZp5rKEY6r/Fdtauv+McPP/88zF9+vTo6OjYYfjv61//eowZMyZSSjF79uzYsGFDv+uq1Wpcf/31seuuuxbv7S9+8YvhePrxhje8oTjGXXfdVfP9zj///EgpxWOPPTboug996EORUopzzz233qdauPLKKyOlFGeeeWbDHhMAAADIiwAgAAAAwE5qRACwbBoRAPze975XhHR+8pOfDLr2sccei1122UUAcAcEAGmECy64IFJK8Xd/93eDrvvhD39YBPquuOKKmh77+uuvH/YA4LXXXlsc4/TTT6/pPi+88ELsv//+MWPGjEHX9fb2xv777x8ppYZenbJarcYxxxwTKaW49dZbG/a4AAAAQD7KfcYZAAAAoIWGGrq6/fbb44ILLhjeJzXMGhEAvPDCC4uQzsaNG3e4fubMmQKAOyAASL1+85vfxKhRo6KjoyN+/etfD7hu3bp1se+++0ZKKf7kT/4kXnjhhZoev7e3N6ZNmzasAcCnnnqqCCaOHj06nnnmmR3e5+67746UUtx8882DrnvwwQcjpRSTJk2q+TXX6s477ywee7CvLAYAAADojwAgAAAAwE4aSaGrWjUiAPj3f//3Rchr5cqVO1x/7733xnXXXTfg7QKAI+vfYrv+jhvhqaeeKl7fP//zP8cf/vCHmDdvXsyYMSMmTZoUo0aNigMPPDA+8pGPxOrVq5v63D75yU9GSmmHV8KbN29e8Rq++tWvDukYl1xyybAGACMi3vWudxXP78tf/vIO15955pkxevToWLt27aDrtl4dsZ69byDVajUmTZoUKaX40pe+1PDHBwAAAEY2AUAAAACAnVRL6Grx4sWRUoqFCxf2uW1rSGVrbf84W7ZsGXDNgw8+GO95z3viFa94RYwePTqmTZsWF1xwQfzxj38c8LlUq9X4/ve/Hx/72MfiTW96U0yYMCF222236OzsjBNOOCFuueWW2LRpU02vuZ4QzOzZs4vXc9VVV+3UY2z9ve6ouru7i/vs7OvfmWO93B//+Mf43Oc+F0cffXTsvffesfvuu8cBBxwQJ510Utx2221RrVZ36nfwco0KAO7Mc+3v93POOefEli1b4vrrr4/p06fHPvvsE2PGjIlDDz00Lrzwwli3bt0OH2Oov+Orr746ZsyYERMnTiye96mnnhrf+c53+qxv9H9btbr33nuL4y1YsCD222+/AV/r1KlT46mnnqr7mLXo7e2NV7ziFZFSijlz5gy6dsqUKZFSio6Ojvi///u/IR3n2Wefjccee2zQfabe/17+7d/+rfgdTp8+fdC1f/jDH2KPPfaI9773vTt87oceemiklOKOO+7o9/b169fH/PnzY+bMmTFx4sTYbbfdYtKkSTFjxow4//zzd/h156effnpNzxkAAABgewKAAAAAADup3gDgokWLYtGiRXHcccf1+zi9vb39rrnttttiypQpcdlll8VXv/rVuPDCC2P8+PGRUopjjz12wK+nvPTSS4tgzIknnhjz58+PL3/5y3HeeefFxIkTI6UUb3nLWwb92sxGBAC//e1vF89j9913j89//vM1fRXwy/X09BS/m62PdcoppxQ/21ov/zrNnX39O3OsrX72s5/FAQccECmlmDlzZvzTP/1TLFiwIGbPnl1c8evP/uzPavqq0sE0IgC4s8/15b+fzs7OSCnFmWeeGccff3wceOCBcdlll8WCBQvikksuif/X3r0HW1XWfQB/zkUJVARECRFEjtcgcchLqMhoKYrmXRFTmyzSGSmSnGESCR1pQNEcRPECqYkpTl6iMpUwTcfxhpp20wgVpwixUFEuHeL83j9893rP4ey9zz7nbPRd+vnMrH/O89vP81uLtfzD+c7zfPazn42UUvTv3z+WLl1adI72PuMlS5ZkfQ8dOjRmzJgR8+bNi4kTJ0aPHj0ipRTHHXdciwBftb+tSs2YMSO7v+7du0dKKcaMGRO/+MUvYsmSJbFgwYIYMmRIVnPmmWd2ar1Kvfjii9maCxYsKFn317/+tWRguRqq8b2sW7cue7YppXj11VdL1s6dOzdSSvHLX/6ybF9/+ctfIqUUXbt2jbVr1xbtu1+/fpFSiiFDhsT06dNj7ty5cckll2THHqeU4thjjy25xuWXXx4ppairq+v0fw8AAACATxcBQAAAAIAOKoSu+vfvH2+//XbRqxB2KxYALPja177WZqCmUNO9e/fYZ599Wu0MtmjRoixkctdddxWdo3CE5bRp01qN/etf/4rPfe5zkVKK0047rc177kwAcOPGjTF48OAWu53tuOOOMWHChHj88cfbHbIqzNHWkbHVuP9K14qIeP3117MA2ne/+91W4ytWrIiBAwdGSimOPvroaGpqanPOUjobAKxWr4U+6urqYtiwYbFmzZoW42+99VYMGjQoUkqx5557xrp161rN0Z5nvGzZsth+++0jpRSnn356bNy4sdV99e3bN1JKMWrUqKJ9V+PbqtTYsWOzuerr6+Oee+5pVfPuu+9mQcqtttqq1TPcEm666aasr+eee65k3V133ZXVHXnkkVXtoZrfy7nnnpv1WW5HwxEjRsROO+3U6r3Z3PTp0yOlFMcff3yrsebv4KmnntpqrsbGxjj++OOzgGopd999d9bzokWLyvYDAAAA0JwAIAAAAEAHFcJOlVzVCgCmlOLmm28uWlM4mrPUrmGTJk2KXr16lQy7FI4nrampKXnUajUCgBERr732Wuyzzz5Fn9UOO+wQZ599dixcuLDNI4kj2hcA7Oz9tyecdswxx0RKKXbZZZdobGwsWtM89PPQQw+1OWcpnQ0AVqvX5t/E008/XbTm3nvvzWqmT5/earw9z3jUqFGRUortttuu5HG0zXcVvOWWW1qNV+PbqlTzd37WrFkl66ZOnZrVPf74451asxITJ07M1lu+fHnJumuvvTarO+WUU6raQzW/l9/97ndZ3YABA4qGBV977bWoqamJCRMmtNnbQQcdVPL9qeQdXLVqVdTX15cNADY/Bvu6665rsycAAABceArxAAAWDElEQVSAAgFAAAAAgA4qhJ369OkTv/nNb4peV111VdUDgG+99VbRmkIQZdiwYUXH33vvvVi1alXJNVavXp2t8ZOf/KTsPXc2ABgRsWHDhrjqqqtiwIABJYOTO++8c8yZM6fsbl+VBsaqcf+VrtX8qNQLL7ywZN2aNWuipqYmUkpx1llnlZ2znM4EAKvZayV9NDY2ZsfqNjQ0tBqv9Bm/8sorWe0ZZ5xRsm79+vXRrVu3kjuwVePbqsT69eujrq4uUkoxePDg2LRpU8nan/3sZ1lP9913X4fXrNTpp5+erdf8qOTNTZs2Laur5H1ds2ZN0Z1RNz/ittrfS1NTU+y2227ZnI888kirmksvvTRSSvHCCy+UvYcVK1ZETU1N1NXVxdtvv91irNJ3MCLiqKOOikMPPbTk+EsvvZTNNWnSpLJzAQAAADQnAAgAAADQQZWEnQq7OlUrANijR4+SNWeccUbJUFUxjY2NsXr16hbBnHI7s0VUNwBY0NTUFE888URMnDgxdt9996JBwNNOO61kYKo9O8Y115H7r3StOXPmZLVz5swpeUT022+/nR0fuscee7Sr/+Y6EwCsZq+FPo477riyaw4fPjxbc8WKFS3GKn3G119/fVZ79dVXl60t7OCWUmoVAt0S31Yxzz77bNbD7Nmzy9YuXrw4q33wwQcj4sPvpHv37iXDssWuUjvSbW706NHZb8rtutneHQDHjBlTtK/N39Mt8b1MmTIlm/Occ85pNd7Q0BBDhgxp8x5uuOGGSCnFYYcd1mqsPe9gW5qHCS+44IJOzQUAAAB8uggAAgAAAHTQxxEA7N+/f6fmWbJkSZxzzjnZkaalrlLhqy0RANzcH//4x7jkkktip512atHTnDlzita3JwDY2fuvdK0LL7ywXUGtlD48QrSjOhMArGavhT7a2h3u1FNPzeZ68sknW4x15BkvWLCgbO0pp5yS1T711FMtxqr1bbVl7ty5WQ9vvPFG2do77rgjq33xxRcj4sPd76ZOndriOu+88yKlFAMHDmw1dsUVV1Tc2xFHHJGtV263zbvuuiur+9KXvtTmvH/4wx9a7Ijap0+fos9xS3wvS5cuzWq32WabFjsbPvHEE5FSiiuvvLLNeyjs/lgs4Ne877vvvrvNucpZtmxZNte5557bqbkAAACATxcBQAAAAIAO6kzoqrn2BAA7U3PttddGbW1tpJRiv/32i1mzZsXChQtbBHT+PwQAC95///046aSTsp7233//onWVBsaqcf+VrvXNb34zq73ssstKHhHd/Fq8eHEFT6W4zryL1ey10vfjrLPOytZ86KGHWox15BkvXLiww+tV6/trywUXXBAppejdu3ebtePHj4+UUnTp0iXWrl1bsu7uu++OlFKMGzeuw31FVL4DYPOjevv169fudUq9p1vqe2m+0+Rtt92W/X3cuHFRV1cX//jHP8r+/r333outt946UkqxbNmyVuPteQfbYgdAAAAAoKMEAAEAAAA6KE8BwJdffjnq6uoipRRHHXVUyV2+/j8FACMi/v3vf0fXrl0jpRTdunUrWlNJYKxa99+R3enuvPPOsrXVUK0dADvb68e1A2Bbu69VsgPglg4AHnrooZFSisGDB5eta2pqioEDB2bvajmTJk2KlFLccMMNHe4rIuL000/Pnk/znfKKab575j//+c92rVPqPd1S30vh+N6UUhx++OEREbF+/fro0aNHjBo1qs3fF3Y8/PznP190vJo7AL788svZXJMmTerUXAAAAMCniwAgAAAAQAflKQA4ZcqUkjugNfdRBAAXLFgQffr0id/+9rcV1e+3336RUoquXbsWHa8kMFat+680nDZnzpysdvr06WVrq6G97+JTTz2VHS1bzV4LfRx33HFl65rvzLZixYoWY5U+4+uvvz6rLXY8a3MHHXRQVrtq1aoWYx9FALCpqSm6d+8eKaXYbbfdytY+8MADWa933HFH2dojjzwyUkrxzDPPdKivguZBtjfffLNs7Q9/+MOs9tprr23XOqXe0y31vaxevTq6dOkSKaWoqamJ5cuXx4IFCyKlFD/96U/b/P2YMWMipRRTpkwpOt78HfzRj37UqV4Lx8WnlGL27NmdmgsAAAD4dBEABAAAAOigPAUAx40bl4VL/vSnPxX9/fvvv/+RBABvvfXWSCnFnDlzKqofOnRopJRi7733LjpeSWCsWvdfaTit+VGpX/nKV8rW3n777VFXVxfnnHNO2bpy2vsu7rrrrjFy5Miq91roY+DAgSXnaGxsjO222y5SSrH77ru3Gq/0Gb/66qtZ7dixY0vWrV+/PrbZZptIKcXQoUNbjX8UAcBly5ZlvdbX15fcZW/Dhg0xePDg7H3ftGlT2Xl79+4d9fX1sX79+g71VXDjjTdm/S1ZsqRs7bvvvhs77rhjpJSioaEhNmzYUPE6pd7TLfm9NN/9cdq0aTF69OjYbrvtYt26dWV/95///CcLbT7//PNFa5q/g2eeeWbZ+b73ve/FmDFjYvny5UXHC8c5p5Ti4YcfrujeAAAAACIEAAEAAAA6LE8BwB/84AdZuOTee+8t+vvmO1B9FAHAESNGtFn75ptvZkf3Tpw4sWhNt27dIqUUF198cfa3devWRUNDQxx55JERUb37r2StgtGjR0dKKbp06VJyV7WmpqbsaNhyOxO2pTMBwGr2WugjpRTPPfdc0Zp77703q5kxY0ar8fY842OOOSZSStG9e/dYvXp10fXuuOOObL1bbrml1fhHEQC87777sh5SSnHppZe2qtmwYUN2FG9dXV089thjZedcvnx5pFT6eNr2eOGFF7LeFixY0Gb94sWLs+9y/PjxFa9T7j3dUt/LwoULs3vr379/1NfXx7nnntvm7x588MFIKcWAAQPK1jV/B995552iNX/7298ipRT9+vUrGeqcNm1apJSitra25LsMAAAAUIwAIAAAAEAH5SkA+PLLL0dtbW2klGLIkCGxZs2aFuPvvfdeDBs27CMNAKaU4vvf/37JQMxbb70VBx98cKSUYocddoiVK1cWrSscEfzVr341+9tTTz0VKaU4+uijI6J691/JWgVvvPFG9OrVK1JKMXLkyPjggw9ajDc1NcXkyZMjpRSjRo0q/rAq1NkAYLV6LfSx0047xQEHHNBqp7tVq1bFoEGDIqUUe+65Z9Fd2NrzjF977bXo0aNHpJRizJgx8d///rfF+PLly2PnnXfO+m5qamq13kcRACwEUHv16hWDBg2KmpqaOP/88+Ohhx6Kp59+Om644YbYZ599svdv5syZbc55//33d/pbLGhqasp29Zs8eXJFv7nzzjuz43W/8Y1vlAy/RUT8+c9/zsKNKRU/BnlLfS+NjY3ZvRWutsKVERHnnXdeRQHH5u/g2LFjW72D69ati0MOOSRSSjF37tyS8xSez4EHHljZjQEAAAD8LwFAAAAAgHZ46aWXYv78+TF//vzo3bt3pJSid+/e2d/mz5/fKrhSSqF+xIgRreYphN3uv//+kjUFixYtKlnTvJcZM2ZkAZidd945Jk+eHDfffHNMnjw5+vXrF3vvvXc2ftJJJ8X8+fNj0aJFsXLlylb3PGLEiFZ9VOpXv/pVdO3aNVuroaEhLrzwwrjxxhvjtttui2uuuSbOPvvs7JjYhoaGePHFF0vOd80110RKKT7zmc/EpZdeGrNnz44999wzUkpx3333dfr+O7JWwe9///sYMGBAtpPY5MmTY968eXH55ZfH/vvvHymlOPjggzu049eTTz4ZM2fOjJkzZ0bPnj0jpRQ9e/bM/lbu6tmzZ4sAYLV6bR4Q/da3vhW77rprTJ06NX784x/HlClTom/fvpFSil122SWWLl1adI72PuPnn38++vXrFyl9eMTvFVdcEfPmzYuLLrooey7HHntsqzBiNb+ttpxwwgmRUorDDz88Fi1alAXnNr+22mqruPrqqyuac8qUKZFSilmzZlXcRzkTJkzI/o0r9cwzz8SBBx4YKaXYfvvt48wzz4yZM2fGLbfcEtddd11MnDgxDjjggOz+unbtGuPGjYtly5YVnW9LfS/f/va3sx4GDhxYNAjaXFNTU/auLl68uM35X3jhhdhll10ipRT77rtvzJgxI+bOnRsXX3xx9vcJEyaUXa/w39bZs2e3694AAAAABAABAAAA2mHq1KlFgzvNr9dff72iucrN8eijj0ZEyyNVN78KRo4cWXEvjzzySBx//PGx4447Rn19fWy//fbxxS9+MWbOnBkffPBBq9+PHDmyxdG45fpoj7Vr18bChQvjoosuiiOOOCIGDhwY22yzTdTW1sa2224bDQ0NcfLJJ8dtt90W69evLzvXpk2b4sorr4y99947tt566+jZs2cMHz48Fi5c2Kq2I/ff0bWa3+vVV18dhxxySPTs2TPq6+ujd+/e8eUvfzluvfXWVjuGVaqSd7Hctfm9VaPXzXeIvP322+Owww6LXr16RZcuXWKPPfaISZMmld0triPP+P33348rr7wyhg8fHj179oytttoq+vbtGyeeeGL8/Oc/L9trtb6tSp7Ld77znYiIePbZZ+PEE0+MPn36RJcuXWK33XaL888/P1555ZWK5zz22GMjpRRPPPFExb8pZ+nSpVFfXx+1tbUlA3qlPPzwwzF+/PjYd999s29r2223jX79+sWIESNi/Pjxcc8998TatWvbnGtLfC9LlizJ/t0uueSSNusLO0727NkzNm7cWNEaH3zwQcycOTMOPvjgrO8+ffrECSec0CpIvLkHHnggW2/z3UkBAAAA2iIACAAAAABURTWOiP6keeedd7Lw2bx586o2b9++faO2trbVzoadMXHixEjpwyN9P80mTZoUKaU466yztvhaTU1NMXz48EgpxU033bTF1wMAAAA+eQQAAQAAAICqEABs7bHHHssCgM8++2xV5ly5cmWklGKvvfaqynwFa9eujS984QtRU1MTDzzwQFXnzpO99torUkpxzz33bPG1rrjiikgpxcknn9zm0cQAAAAAxQgAAgAAAABVIQDY2qxZsyKlFLW1tRUdgVuJwpGxY8eOrcp8za1cuTKGDh0a2267bfz617+u+vz8n1mzZkVNTU2MHj26zaPOAQAAAEoRAAQAAAAAqkIAsLWvf/3rkVKKPfbYo2pzTps2LVJKMXPmzKrN2dzatWtj3LhxMWjQoC0yPxHvvvtudOvWLS6//PLYtGnTx90OAAAAkGMCgAAAAABAh61cuTLmz58f8+fPj969e0dKKUaMGJH97dNu2LBhkVKKU0455eNupd1ef/31j7uFT6zGxsb4+9///nG3AQAAAHwCCAACAAAAAB326KOPRkqp5PVptnHjxujSpUuklOKyyy77uNsBAAAA4BPo0/1/4AAAAAAAAAAAACCnBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAAAAAAACCHBAABAAAAAAAAAAAghwQAAQAAAAAAAAAAIIcEAAEAAAAA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width=\"1280\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.arange(0,1.0,0.04)\n",
    "var=\"ptl\"\n",
    "units=\"GeV/c\"\n",
    "\n",
    "query='index' #all\n",
    "wght=\"MFP_pi\"\n",
    "sigma=1\n",
    "\n",
    "#title=\"%s, $\\\\nu_\\mu$ CC\"%(fd_title)\n",
    "xlabel=\"Final State Lepton $p_{T}$ (%s)\"%(units)\n",
    "ylabel=\"Events / %2.2f %s \"%(bins[-1]-bins[-2],units)\n",
    "\n",
    "df=gst_df.query(query)\n",
    "\n",
    "fig,ax = plt.subplots()\n",
    "\n",
    "plt.grid(axis='y', linewidth=0.5)\n",
    "plt.hist(df[var], weights=df[\"wght\"], color='red', label=\"CV\", bins=bins,**pltops_hist)\n",
    "plt.hist(df[var], weights=df[\"wght_%s_p%d\"%(wght,sigma)], \n",
    "         color='blue', \n",
    "         label=\"%s +%d$\\sigma$\"%(wght,sigma), bins=bins,**pltops_hist)\n",
    "plt.hist(df[var], weights=df[\"wght_%s_n%d\"%(wght,sigma)], \n",
    "         color='green', \n",
    "         label=\"%s -%d$\\sigma$\"%(wght,sigma), bins=bins,**pltops_hist)\n",
    "plt.legend()\n",
    "\n",
    "#plt.title(title)\n",
    "plt.xlabel(xlabel)\n",
    "plt.ylabel(ylabel)\n",
    "\n",
    "plt.show()\n",
    "#plt.savefig(\"/Users/wketchum/Downloads/numucc_e_%s.png\"%fd_leg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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",
       "    var resizeObserver = new 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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\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",
       "\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",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
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QX7Obbfd1u9xy5Yty4/76U9/WvgeBYBAEQJAoHIsgACoJ2prnmcFAAAAAP0TAB4cAWBExDnnnJPvB/7tb3/b63v33XdfHHroodHR0ZF/rUgAeMIJJ8TixYsbzsMPPzyoAHDfTxPs7OyMv//973HLLbdES0tLZFkWZ5xxRnQdgAfa6PlFRKxZsybGjh0bWZbFIYcc0ue5VCUAPP/88yPLshg/fny8//77/R63c+fO/NpXXHFF4XsUAAJFCACByrEAAqCeqK15nhUAAAAA9E8AePAEgE8//XS+H/iVr3wl//r27dvj+OOPj6uvvnqv44sEgAN9al+zcVwznyZ4/PHHx6xZs2Lbtm0DXquo/gLAiIiFCxfm9/Hxj388Nm/enH+vrACw2U9THMonLe4x2ABw48aN+fE333zzfo/fE2teddVVTd1PIwJAoAgBIFA5FkAA1BO1Nc+zAgAAAID+CQAPngCwp6cnpkyZku8Jvv766xERMW/evMiyLN544429jh/pALDRpwm++uqrsXr16ujt7R3wGkM1UAAYEXH99dfnz+Yb3/hG/vUqBIBPPfVUfvzzzz8/4LGdnZ1N/ang/REAAkUIAIHKsQACoJ6orXmeFQAAAAD0TwB48ASAERF/+MMf8j3Byy67LHbv3h2TJ0+O6dOn9zm27ABwMPde1rWGcg8DBYA7duyIadOm5c/nN7/5TUSUFwCuWrWq37n//vsjy7I499xzBzzu3Xffbeq1BhsA/vznP8+P37Bhw4DHvvDCC/mxCxcubOp+GhEAAkUIAIHKsQACoF7X1s6+Udv62of/MmX2mq71tb7PamvnSP8IAQAAAOCgIAA8uALAHTt2xIknnhhZlkVLS0vMmjUrsiyLxYsX9zlWANg24DFr1qyJsWPHRpZlcfjhh8eKFStKCwAHMn/+/MiybL/316zBBoAzZszIj9+1a9eAx95www2RZVkccsghsWnTpsL3KAAEihAAApVjAQRAvYZRW2vW91+qTOx+M5MAACAASURBVHS1Zo1jSQAAAABAAHiQBYAREQ8++GC+L5hlWZxzzjkNjxMAtu33uIULF+bPaMqUKfH888+P+gDw2muvzY/ftm1bv8e98847ccwxx8S+fya5CAEgUIQAEKgcCyAA6gkABYAAAAAAUAYB4MEXAG7dujWOPfbYfG9wwYIFDY8TALY1dezMmTPz5zR16tRRHwDedttt+fEvv/xyv8fVP5dXXnllSPcoAASKEAAClWMBBEA9AaAAEAAAAADKIAA8+ALAiIi77rorsiyLyZMnx+7duxseIwBsa+rY7u7umDZtWv6sRnsAuGjRovz4iy66KHp7e/sc89BDD+XHXHfddUO+RwEgUIQAEKgcCyAA6gkABYAAAAAAUIaiAWCt9uHXU59a7eAMAHt6eqK7uzs++OCDfo8RALY1ffzq1atj7NixlQgAd+/eHVOmTMnP+epXvxovvPBCrFixIv785z/H9OnT8++1tbXFjh07hnyPAkCgCAEgUDkWQADUaxgA/vO1kf/XsoNwuv75mgAQAAAAAPpRNAAczXOgAsCVK1dGe3t7tLe3x4QJE2Lq1Kn5f69bt67p6+w55/LLL8/3D2fNmhXt7e2xaNGifl8vy7KYMGFC/rX29vbYtm1boXtvdK0DbenSpf0+v5UrV+73/AULFiQTANY/10Y/5/b29vjrX//a7/n//ve/Y/z48fl5jeaHP/xhdHd3F77HegJAoAgBIFA5FkAA1GsYAIraGvKsAAAAAKB/AsDhCwDrP8lt3xlMkDZQ1FX/qXwDvd6e6ejoGPK975kDbcaMGf2+9uzZs5u6xsyZM5MIAPf3rJu5fmdnZ9x6660xderUaG1tjdbW1vjkJz8ZM2fOjBUrVhS+t0YEgEARAkCgciyAAKgnamueZwUAAAAA/RMADl8ACKOVABAoQgAIVI4FEAD1RG3N86wAAAAAoH8CQAEgDJUAEChCAAhUjgUQAPVEbc3zrAAAAACgf82EOz09H0ZxVZmenmH8AcAoIAAEihAAApVjAQRAPVFb8zwrAAAAAOhfkXAHoJ4AEChCAAhUjgUQAPVEbc3zrAAAAACgfwJAhtPGjRsHPV3+JvNBTwAIFCEABCrHAgiAeqK25nlWAAAAANA/ASDDac9+52Bm0qRJI33b7IcAEChCAAhUjgUQAPVEbc3zrAAAAACgfwJAhtPixYsHPa+99tpI3zb7IQAEihAAApVjAQRAvc6OvlFb7Z+roqsrzD5T++eqPs+qs0MACAAAAAARAkBg6ASAQBECQKByLIAAqNcoastauyLLwuw7rV0NY0kAAAAAQAAIDJ0AEChCAAhUjgUQAPUEgAJAAAAAACiDABAYKgEgUIQAEKgcCyAA6gkABYAAAAAAUAYBIDBUAkCgCAEgUDkWQADUEwAKAAEAAACgDAJAYKgEgEARAkCgciyAAKjXKAB87X//L7q6wuwzr/3v/wkAAQAAAKAfAkBgqASAQBECQKByLIAAqNcoABS1NeZZAQAAAED/BIDAUAkAgSIEgEDl/D97dx+kV1neD/xs1LxvAAlCUQi0CVI7lsi0Ghg6KYhAVVoUCOjAgIogbdNY0SKBlg5QtJWOQKS8NI5IsCDFwggVA4w4kB+FYJAXXSBhjchb2IAQEpK0sHv9/sqZs9l9ds8+uye54f58Zu4/3HOe+zl75R72Gq/vPI8GCIAqobb61AoAAAAAWhMABEZLABBohwAgkB0NEABVQm31qRUAAAAAtCYACIyWACDQDgFAIDsaIACqhNrqUysAAAAAaE0AEBgtAUCgHQKAQHY0QABUCbXVp1YAAAAA0JoAIDBaAoBAOwQAgexogACoEmqrT60AAAAAoDUBQGC0BACBdggAAtnRAAFQJdRWn1oBAAAAQGsCgMBoCQAC7RAABLKjAQKgSqitPrUCAAAAgNYEAIHREgAE2iEACGRHAwRAlVBbfWoFAAAAAK0JAAKjJQAItEMAEMiOBgiAKqG2+tQKAAAAAFqrE9zp7euNng092azevt5t+C8Ab34CgEA7BACB7GiAAKgSaqtPrQAAAACgtTrBnZ4NPQP+P7a38urZ0NNIrU866aRy3lddZ599dlv7zZ49e9D9tjj33HMHvT6SNdK9Jk6cGHvvvXeccMIJsWzZslHXrGqw+u29996xbt26YV871DOvXr16TJ9zMH19fXHppZfGlClToiiKuOuuuxp/z21JABBohwAgkB0NEABVQm31qRUAAAAAtCYAuO0CgPfee28sWbIklixZEtOnTy9nfzvuuGO8+uqrI9rrtttu6xdiW7hwYbn3Fg8//PCA95s+fXr5s6HWn/zJn/QLANbZ6+qrr47zzjsvfv/3f798rr/6q7+K3t6x+UTFVvU77rjjhn3tltctXLgwiqKIU089tfzZhg0bxuT5Wunu7o65c+f2+/cSADT/BgQAgQxpgACoEmqrT60AAAAAoDUBwG0XAKyaMWNGv0DY17/+9RG9/k//9E9HFCjb8n4zZsyotf+WT9trZ6/XX389jj322PLZzjrrrFrvORJb12/x4sW1XnfXXXdFURTxne98Z8yfaWvVT/2bNm1azJkzRwCwwvwbEAAEsqMBAqBKqK0+tQIAAACA1gQAt18AcObMmfGOd7wjiqKIXXfdNTZt2lTrtffdd18URRHve9/7kgwARkS88sorMXXq1CiKIt7xjnfEU089Vet965oxY0ZMmzat/P0nT54cXV1dw75uWwYAt3xt8uGHHx6/+c1v+n2NsgCg+TcgAAhkSAMEQJVQW31qBQAAAACttRsA7Orpip4NPW/61dXTtd0CgHPnzo2TTz65nAFedtlltV571FFHxe/+7u/GOeec01gA8IYbbogzzzxzVHt94hOfKJ9v0aJFtd63ri31O/3008v3+MM//MNhQ5TbOgBY/WRCAcD+zL8BAUAgOxogAKqE2upTKwAAAABord0A4LYIyW0L2+t32xJge+yxx6KjoyOKooi99torXn/99SFft+X+b33rWyMKlI00ADgWe33lK18pn2/+/Pmjft+tn2Hu3LmxefPm+MAHPlC+z1/+5V8O+bpt/RXAVaMNAG7atCkWL14cRx55ZLznPe+JSZMm9fsa5MHW8uXLx+i3GZoAINAOAUAgOxogAKqE2upTKwAAAABoTQBw+wYAI/p/Ut4111wz5Os+85nPxPTp02Pjxo1jHgCsG46rGwA866yzyuf7whe+MOS9I1Wt36pVq/p9HfB//dd/tXzdtgwAbm00AcCHHnooZs6cOWzgr7rGjRsXGzdubOaX2YoAINAOAUAgOxogAKqE2upTKwAAAABoTQBw+wcA77///nIO+Ad/8AcDPjlui2eeeSbGjx8f//iP/xgRIwuUbY8AYPXrjf/pn/5pyHtHqlq/iIjvf//75XvttNNO8dRTTw36ujdjAPDJJ5+M6dOnl6/98z//87jxxhtjxYoVcdttt8UxxxzTL/h32GGHxcc+9rH47Gc/29wvsxUBQKAdAoBAdjRAAFQJtdWnVgAAAADQmgDg9g8ARkQcfPDB5SzwpptuGvQ1X/rSl2Ly5Mnx4osvRkR7AcA99tgj1q5dO+i6+eabxywA2NvbG3vuuWdjX0W7df0iIk4//fTy/Q466KB44403BrzuzRYA7Ovrizlz5pSvu/LKKwe97/jjjy/vufnmm8fwqesRAATaIQAIZEcDBECVUFt9agUAAAAArQkAphEAXLp0aTkL/OAHPzjg/t/+9rcxderU+Ou//uvyZ+0EAOussQgAXnLJJeV+hx9++JD7tWOwAODmzZtj9uzZ5fuec845A173ZgsAXnfddeVrzjjjjJb33XfffeV9X/ziF8foiesTAATaIQAIZEcDBECVUFt9agUAAAAArQkAphEAjIjYf//9y3ngnXfe2e/a+eefH29729ti9erV5c/aCQDuuuuucccddwy6LrroohEFALf+NME1a9bEAw88EH/zN38THR0dURRFvO9974uenrGv52D1i4hYtWpVdHZ2RlEUMW7cuAF1ebMFAA866KAoiiJ23nnnWL9+fcv7/vd//7fc+5hjjhmjJ65PABBohwAgkB0NEABVQm31qRUAAAAAtCYAmE4A8IYbbijngR/+8IfLn2/cuDF22WWX+NSnPtXv/nYCgEN9al/dcFydTxPcZZddYuHChbFhw4Yh92pXqwBgRMT1119fPsfuu+8ea9euLa+9mQKAzz//fHn//Pnzh71/S+hy3rx5Y/C0IyMACLRDABDIjgYIgCqhtvrUCgAAAABaEwBMJwDY29sbs2bNKmeC999/f0REfOtb34qiKOLnP/95v/u3dwBwsE8TvOeee2LlypXR19c35B6jNVQAMCLiC1/4Qlmbj3/84+XPRxsAfOaZZ2LVqlWDro0bNw752pEGAL///e+X999yyy1D3rtmzZpaXxXcFAFAoB0CgEB2NEAAVAm11adWAAAAANCaAGA6AcCIiKuuuqqcCR511FHxxhtvxN577x0f+chHBtw71gHAkTz7WO01mmcYKgC4efPmmD17dlmfb37zmxEx+gDg3LlzW37q4XD/BiMNAP793/99ef9vfvObIe+99dZby3uvv/76EfxGY0MAEGiHACCQHQ0QAFVCbfWpFQAAAAC0JgCYVgBw8+bN8Tu/8ztRFEV0dHTEwoULoyiKuOOOOwbcKwA4d8h7Vq1aFZ2dnVEURYwfPz5WrFjxpgoAnnTSSeX9r7/++pD3nn766VEURYwbNy5eeOGFEfxGY0MAEGiHACCQHQ0QAFVCbfWpFQAAAAC0JgCYVgAwIuJf/uVf+gXL9t9//0HvEwCcO+x9119/fVmjWbNmxS233DKqAOBojDQAeOKJJ5b3b9iwoeV9v/3tb2OHHXYY8HXH25IAINAOAUAgOxogAKqE2upTKwAAAABoTQAwvQDgq6++GjvuuGM5G7zuuusGvU8AcG6te0877bSyTvvuu++bJgB4xhlnlPf/9Kc/bXlf9fe7++67x/CJ6xMABNohAAhkRwMEQJVQW31qBQAAAACtCQCmFwCMiDj77LOjKIrYe++944033hj0HgHAubXu3bRpU8yePbvfpyq+GQKAN910U3n/YYcdFn19fQPu+cY3vlHe89nPfraBp65HABBohwAgkB0NEABVQm31qRUAAAAAtNZuALCrpyt6NvS86VdXT1eSAcDe3t7YtGlT/N///V/LewQA59a+f+XKldHZ2fmmCgC+8cYbMWvWrPI1RxxxRNx6662xYsWK+M///M/4yEc+Ul6bO3dubN68uflfogUBQKAdAoBAdjRAAFQJtdWnVgAAAADQWrsBwLfyaioA+PDDD8eSJUtiyZIlMX369Nh3333L/93d3V17ny2v+cQnPlHODxcuXBhLliyJm266qeX7FUUR06dPL3+2ZMmS2LBhQ1vPPtheTbv33ntb1u/hhx8e9vXXXXfdNg8AVusz2L/XkiVL4vbbb2/5+kceeSR23nnnfp9euPX63Oc+F5s2bdomv08rAoBAOwQAgexogACoEmqrT60AAAAAoDUBwG0XAKx+AtzWaySBtKHCYNVP5Rvq/bas1atXj/rZt6ymnXTSSS3f+9xzz621x2mnnbZNA4DD1WzLp/cNZc2aNfGlL30p9t1335g8eXJMnjw59tlnnzjttNNixYoV2+T3GI4AINAOAUAgOxogAKqE2upTKwAAAABoTQBw2wUA4a1KABBohwAgkB0NEABVQm31qRUAAAAAtCYAKAAIoyUACLRDABDIjgYIgCqhtvrUCgAAAABaqxPc6e3rjZ4NPdms3r7ebfgvAG9+AoBAOwQAgexogACoEmqrT60AAAAAoLV2gjsAVQKAQDsEAIHsaIAAqBJqq0+tAAAAAKA1AUC2peeff37Eq6fHVzKnTgAQaIcAIJAdDRAAVUJt9akVAAAAALQmAMi2tGXeOZI1Y8aM7f3YDEMAEGiHACCQHQ0QAFVCbfWpFQAAAAC0JgDItnTHHXeMeC1btmx7PzbDEAAE2iEACGRHAwRAlVBbfWoFAAAAAK0JAAKjJQAItEMAEMiOBgiAKqG2+tQKAAAAAFoTAARGSwAQaIcAIJAdDRAAVUJt9akVAAAAALQmAAiMlgAg0A4BQCA7GiAAqoTa6lMrAAAAAGhNABAYLQFAoB0CgEB2NEAAVAm11adWAAAAANCaACAwWgKAQDsEAIHsaIAAqBJqq0+tAAAAAKA1AUBgtAQAgXYIAALZ0QABUCXUVp9aAQAAAEBrAoDAaAkAAu0QAASyowECoEqorT61AgAAAIDWBACB0RIABNohAAhkRwMEQJVQW31qBQAAAACtdXd3R1dXVzz22GPR29u7vR8HeJPp7e2Nxx57LLq6uqK7u7v268y/AQFAIDsaIACqhNrqUysAAAAAaO3ZZ5+Nrq6u6OrqinXr1m3vxwHeZNatW1f+N+S5556r/Trzb0AAEMiOBgiAKqG2+tQKAAAAAFpbv359Gd554oknYt26dT4JEBhWb29vrFu3Lp544onyvyHr16+v/Xrzb0AAEMiOBgiAKqG2+tQKAAAAAFrr6+uL1atXlwGeLV8HvHLlSsuyrJZry9f+blmrV6+Ovr6+2v/tMf8GBACB7GiAAKgSaqtPrQAAAABgaL29vQNCgJZlWXXX6tWrR/zJoebfgAAgkB0NEABVQm31qRUAAAAADK+vry/Wr18fzz33XHR3d2/3TxezLCvt1d3dHc8991ysX79+RJ/8t4X5NyAACGRHAwRAlVBbfWoFAAAAAABpMf8GBACB7GiAAKgSaqtPrQAAAAAAIC3m34AAIJAdDRAAVUJt9akVAAAAAACkxfwbEAAEsqMBAqBKqK0+tQIAAAAAgLSYfwMCgEB2NEAAVAm11adWAAAAAACQFvNvQAAQyI4GCIAqobb61AoAAAAAANJi/g0IAALZ0QABUCXUVp9aAQAAAABAWsy/AQFAIDsaIACqhNrqUysAAAAAAEiL+TcgAAhkRwMEQJVQW31qBQAAAAAAaTH/BgQAgexogACoEmqrT60AAAAAACAt5t+AACCQHQ0QAFVCbfWpFQAAAAAApMX8GxAABLKjAQKgSqitPrUCAAAAAIC0mH8DAoBAdjRAAFQJtdWnVgAAAAAAkBbzb0AAEMiOBgiAKqG2+tQKAAAAAADSYv4NCAAC2dEAAVAl1FafWgEAAAAAQFrMvwEBQCA7GiAAqoTa6lMrAAAAAABIi/k3IAAIZEcDBECVUFt9agUAAAAAAGkx/wYEAIHsaIAAqBJqq0+tAAAAAAAgLebfgAAgkB0NEABVQm31qRUAAAAAAKTF/BsQAASyowECoEqorT61AgAAAACAtJh/AwKAQHY0QABUCbXVp1YAAAAAAJAW829AABDIjgYIgCqhtvrUCgAAAAAA0mL+DQgAAtnRAAFQJdRWn1oBAAAAAEBazL8BAUAgOxogAKqE2upTKwAAAAAASIv5NyAACGRHAwRAlVBbfWoFAAAAAABpMf8GBACB7GiAAKgSaqtPrQAAAAAAIC3m34AAIJAdDRAAVUJt9akVAAAAAACkxfwbEAAEsqMBAqBKqK0+tQIAAAAAgLSYfwMCgEB2NEAAVAm11adWAAAAAACQFvNvQAAQyI4GCIAqobb61AoAAAAAANJi/g0IAALZ0QABUCXUVp9aAQAAAABAWsy/AQFAIDsaIACqhNrqUysAAAAAAEiL+TcgAAhkRwMEQJVQW31qBQAAAAAAaTH/BgQAgexogACoEmqrT60AAAAAACAt5t+AACCQHQ0QAFVCbfWpFQAAAAAApMX8GxAABLKjAQKgSqitPrUCAAAAAIC0mH8DAoBAdjRAAFQJtdWnVgAAAAAAkBbzb0AAEMiOBgiAKqG2+tQKAAAAAADSYv4NCAAC2dEAAVAl1FafWgEAAAAAQFrMvwEBQCA7GiAAqoTa6lMrAAAAAABIi/k3IAAIZEcDBECVUFt9agUAAAAAAGkx/wYEAIHsaIAAqBJqq0+tAAAAAAAgLebfgAAgkB0NEABVQm31qRUAAAAAAKTF/BsQAASyowECoEqorT61AgAAAACAtJh/AwKAQHY0QABUCbXVp1YAAAAAAJAW829AABDIjgYIgCqhtvrUCgAAAAAA0mL+DQgAAtnRAAFQJdRWn1oBAAAAAEBazL8BAUAgOxogAKqE2upTKwAAAAAASIv5NyAACGRHAwRAlVBbfWoFAAAAAABpMf8GBACB7GiAAKgSaqtPrQAAAAAAIC3m34AAIJAdDRAAVUJt9akVAAAAAACkxfwbEAAEsqMBAqBKqK0+tQIAAAAAgLSYfwMCgEB2NEAAVAm11adWAAAAAACQFvNvQAAQyI4GCIAqobb61AoAAAAAANJi/g0IAALZ0QABUCXUVp9aAQAAAABAWsy/AQFAIDsaIACqhNrqUysAAAAAAEiL+TcgAAhkRwMEQJVQW31qBQAAAAAAaTH/BgQAgexogACoEmqrT60AAAAAACAt5t+AACCQHQ0QAFVCbfWpFQAAAAAApMX8GxAABLKjAQKgSqitPrUCAAAAAIC0mH8DAoBAdjRAAFQJtdWnVgAAAAAAkBbzb0AAEMiOBgiAKqG2+tQKAAAAAADSYv4NCAAC2dEAAVAl1FafWgEAAAAAQFrMvwEBQCA7GiAAqoTa6lMrAAAAAABIi/k3IAAIZEcDBECVUFt9agUAAAAAAGkx/wYEAIHsaIAAqBJqq0+tAAAAAAAgLebfgAAgkB0NEABVQm31qRUAAAAAAKTF/BsQAASyowECoEqorT61AgAAAACAtJh/AwKAQHY0QABUCbXVp1YAAAAAAJAW829AABDIjgYIgCqhtvrUCgAAAAAA0mL+DQgAAtnRAAFQJdRWn1oBAAAAAEBazL8BAUAgOxogAKqE2upTKwAAAAAASIv5NyAACGRHAwRAlVBbfWoFAAAAAABpMf8GBACB7GiAAKgSaqtPrQAAAAAAIC3m34AAIJAdDRAAVUJt9akVAAAAAACkxfwbEAAEsqMBAqBKqK0+tQIAAAAAgLSYfwMCgEB2NEAAVAm11adWAAAAAACQFvNvQAAQyI4GCIAqobb61AoAAAAAANJi/g0IAALZ0QABUCXUVp9aAQAAAABAWsy/AQFAIDsaIACqhNrqUysAAAAAAEiL+TcgAAhkRwMEQJVQW31qBQAAAAAAaTH/BgQAgexogACoEmqrT60AAAAAACAt5t+AACCQHQ0QAFVCbfWpFQAAAAAApMX8GxAABLKjAQKgSqitPrUCAAAAAIC0mH8DAoBAdjRAAFQJtdWnVgAAAAAAkBbzb0AAEAaxZs2aWLRoURx55JHxnve8J8aPHx9TpkyJmTNnxoknnhg/+clPau+1bNmyOO6442KPPfaICRMmxB577BHHHXdc3HPPPbX36Ovri2uvvTYOOeSQeNe73hWTJk2KWbNmxYIFC+JXv/pV7X02bNgQX//612P//fePadOmxbRp0+IDH/hAfO1rX4v169fX3mf16tWxYMGCmDVrVkyaNCl22WWXOOSQQ2LJkiXR19dXe5+xqE07NEBADnr7eqNnQ49VYy277/8JtdUkAAgAAAAAAGkx/wYEAGErp556aowfPz6Koog99tgjvvzlL8cVV1wRF198cRx++OHlH87jjz8+Nm/ePORe5557bnR0dMSUKVNiwYIFceWVV8aCBQtiypQp0dHREf/wD/8w7PNs3LgxPvrRj5bPc95558Xll18e8+bNi46Ojpg2bVr88Ic/HHaflStXxj777BNFUcSHPvShuPjii+Piiy+OD33oQ1EURcyaNStWrlw57D4//OEPY9q0adHR0RHz5s2Lyy+/PM4777zYY489oiiK+OhHPxobN24cdp+xqE27NEBADno29AwIaln1l1Db4AQAAQAAAAAgLebfgAAgbGXChAlRFEUceeSR8dprrw24fvnll5d/PD/1qU+13Oeyyy6Loihi4sSJsXz58n7X7r///pg4cWIURRH/9m//NuTzzJs3L4qiiPe+973x4osv9rt26aWXRlEUMWnSpFixYkXLPV555ZWYNWtWFEURxx57bPT29pbXent745hjjomiKGKfffaJV155peU+P/vZz2LSpElRFEUsWrSo37W1a9eWAcN58+YN+TuNVW3apQECciAAKADYBAFAAAAAAABIi/k3IAAIW5kwYUJMmTIlenp6Wt5zxBFHlH9A77vvvgHXX3jhhZg6dWoURRFnnnnmoHuceeaZURRFTJ06teV7/fd//3f5Prfddtug98yZM6f8VL9WvvKVr5TvtXbt2gHXe3p6yuf9u7/7u5b7fPCDH4yiKGLOnDmDXr/tttvK5/3Rj3406D1jVZvR0AABORAAFABsggAgAAAAAACkxfwbEACErUyYMCEOPfTQIe/593//9/IP6MKFCwdcX7hwYXl91apVg+7x5JNPlvecc845g95z4IEHll/929fXN+g9ixcvLve58847B1xft25d+al9J5xwQsvf6YQTTig/TfDVV18dcP32228v32fx4sWD7tHX1xd77rlnFEURBx100KD3jFVtRkMDBORAAFAAsAkCgAAAAAAAkBbzb0AAELbyox/9KB599NEh71m6dGn5B3SwUN2Wr8KdMWPGkPvstdde5df7bu2ZZ56Jjo6OKIoiTjrppJZ7/PrXvy6f5bTTThtw/Xvf+155/Tvf+U7Lfa6++uryvuuuu27A9c9//vPl9dWrV7fc5+STT46iKKKjoyOeffbZAdfHojajpQECcjBYALCrpyt6NvRYW62uBx+LYnJPv7Xmly9s73/CJAkAAgAAAABAWsy/AQFAaMMNN9zQMnT3zDPPlNeOOuqoIff55Cc/Wd67dVju2muvLa9dfPHFQ+7zzne+M4qiiFmzZg24dsopp5T7PPTQQy33eOSRR8r7Pv/5zw+4PnPmzCiKhrft7AAAIABJREFUInbcccchn+XSSy8t9/ne977X79pY1Wa0NEBADgYLAPZsGPuvVX8r6OlaG0UR/VZP19rt/VhJEgAEAAAAAIC0mH8DAoDQhn/+538u/4Bee+21/a79+Mc/Lq/Nnz9/yH0WLFhQ3nv77bf3u/bVr361vPaDH/xgyH3222+/KIoixo0bF5s2bep3bc6cOeU+L730Uss9Xn755fK+Aw88sN+1jRs3xrhx46Ioinj/+98/5LPcdNNNLb8eeaxqM1oaICAHAoD1CQDWJwAIAAAAAABpMf8GBAChDQcccEAURRG77rprbNy4sd+1K664ovzjesEFFwy5z4UXXljee9VVV/W7dvzxx5fXli1bNuQ+hx12WHnvypUr+13bbbfdoiiKePvb3z7s7zV+/PgoiiJ23333fj9//PHHy/0PPfTQIfe49957y3s//elP97s2VrUZLQ0QkAMBwPoEAOsTAAQAAAAAgLSYfwMCgDBCjz766JDBtG984xvl9YsuumjIvb75zW+W9/7rv/5rv2sf+9jHyms/+9nPhtznL/7iL8p7V6xY0e/alClToiiKmDp16rC/2w477BBFUURnZ2e/nz/wwAPl/h//+MeH3OPnP/95ee+RRx7Z79pY1WY4Tz/99JBr+fLlGiDgLU8AsD4BwPoEAAEAAAAAIC0CgIAAIIxAX19fHHzwwVEURfzZn/1Z9PX1DbjnvPPOK/+4XnrppUPud9lll5X3nn/++f2uHXLIIeW1Rx55ZMh9jj322PLee+65p9+1LV/d+853vnPY32+XXXaJoijibW97W7+f33333eX+n/zkJ4fc45e//GV574c//OF+18aqNsPZ8ro66xe/+EW8/PLLlmVZb7m16tlVA4Jaq55dtd2fK8X15H3dAwKAT97Xvd2fK8V1/93LB5yr++9evt2fy7Isy7Isy7Isy7Isy7Isy7JyXb/4xS8EACFzAoAwAlu+lnafffaJl156adB7fALg9v8EwJEEABcvXhw333yzZVnWW25998bvDghqfffG727350pxXbfo+gEBwOsWXb/dnyvFdeUlVw04V1dectV2fy7LsizLsizLsizLsizLsizLynUtXrxYABAyJwAINd14440xbty42H333aO7u7vlfVdccUX5x/WCCy4Ycs8tgcLBvk74+OOPL68tW7ZsyH0OO+yw8t6VK1f2u7bbbrtFURTx9re/fZjfMGLChAlRFEXsvvvu/X7++OOPl/sfeuihQ+5x7733lvd++tOf7ndtrGoznJF8BbBPALQs6626fAJg/eUTAOsvnwBoWZZlWZZlWZZlWZZlWZZlWWktnwAICABCDUuXLo0JEybEbrvtFo899tiQ9/74xz8u/7jOnz9/yHsXLFhQ3rt06dJ+17761a+W137wgx8Muc9+++0XRVHEuHHjYtOmTf2uzZkzp9yn1acWRkS8/PLL5X0HHHBAv2sbN24sv0r4/e9//5DPctNNN5X7nHXWWf2ujVVtRuvpp5/WAAFveT0begYEtXo29Gzvx0pST9faAQHAnq612/uxktT14GMDzlXXg0P3RgAAAAAAQHPMvwEBQBjGnXfeGZMmTYp3vetd0dXVNez91T+uRx111JD3Hn300eW9zzzzTL9rS5YsKa9dfPHFQ+6z8847R1EUMXPmzAHXPve5z5X7PPTQQy33ePTRR8v7TjnllAHXf+/3fi+KooiddtppyGdZtGhRuc+1117b79pY1Wa0NEBADnpeXTMwAPhUV0RPj7XV6ln2hABgTQKAAAAAAACQFvNvQAAQhvDTn/40Jk+eHNOnT49HH3209utmzZoVRVHEXnvtNeR9e++9dxRFEfvss8+Aa08//XR0dHREURRx8sknt9zjqaeeKv+Yn3rqqQOuX3vtteX1q6++uuU+3/3ud8v7/uM//mPA9VNOOaW8/utf/7rlPp/5zGeiKIro6OgYNLg3FrUZLQ0QkIOep7oGBgAnb5VysyKKInqK6QKANQkAAgAAAABAWsy/AQFAaGHZsmUxderU2HnnnePhhx8e9J5TTz01jjzyyAE/P+uss8o/sN3d3YO+tru7u7xn4cKFg95zwAEHRFEUMWPGjOjr6xv0nm9/+9vlPrfffvuA66+88kpMnDgxiqKIE088sdWvGyeeeGIURRGTJk2KdevWDbi+dOnS8n2+/e1vD7pHX19fzJgxI4qiiAMPPHDQe8aqNqOhAQJyIAAoANgEAUAAAAAAAEiL+TcgAAiD+J//+Z/o7OyMnXbaKR588MGW982dOzdmzJgx4OfPP/98TJkyJYqiiLPOOmvQ124Jwk2ZMiVeeOGFQe+55ZZbyj/US5cuHfSeLSHBP/7jP275nGeccUYURRGdnZ3x4osvDrj+4osvRmdnZxRFEV/+8pcH3aOvry/+6I/+aMhwXzUkeOuttw56z1jVZjQ0QEAOBAAFAJsgAAgAAAAAAGkx/wYEAGErDzzwQOywww7R0dERF110Udx1110t13777TdoADAiYtGiRbHlE/UeeOCBAe+x5VP5Fi1aNOTzHH300VEURey7774Dwntb3mPixImxfPnylnu8/PLLMXPmzCiKIo477rjo7e0tr/X29sa8efOiKIqYOXNmvPzyyy33Wb58efncl112Wb9rL774Yrz3ve+Noiji6KOPHvJ3GqvatEsDBORAAFAAsAkCgAAAAAAAkBbzb0AAECpeeuml2Gmnnco/jnVWqwBgRMQ555wTHR0dMWXKlPjbv/3buOqqq+KLX/xiTJkyJTo6OuLss88e9plee+21OOKII6Ioithzzz3jggsuiCuuuCKOO+646OjoiM7Ozrj55puH3eeJJ54oQ4Bz5syJSy65JC655JKYM2dOGf57/PHHh93n5ptvjs7Ozujo6Ijjjz8+rrjiijj//PNjzz33jKIo4vDDD4/XXntt2H3Gojbt0gABORg0APjgsoieHmur1dO1dmAAcE3v8EXOkAAgAAAAAACkxfwbEACEitWrV48o/DdcADAi4p577ol58+bFu9/97hg/fny8+93vjnnz5sXdd99d+7n6+vrimmuuiYMPPjimT58eEydOjJkzZ8b8+fOju7u79j7r16+PCy+8MGbPnh2dnZ3R2dkZs2fPjgsvvDDWr19fe59f/epXMX/+/Jg5c2ZMnDgxpk+fHgcffHBcc8010dfXV3ufsahNOzRAQA4GDQA+1bW9HytJPT0DPxiwp2d7P1WaBAABAAAAACAt5t+AACCQHQ0QkAMBwPoEAOsTAAQAAAAAgLSYfwMCgEB2NEBADgQA6xMArE8AEAAAAAAA0mL+DQgAAtnRAAE5EACsTwCwPgFAAAAAAABIi/k3IAAIZEcDBORAALA+AcD6BAABAAAAACAt5t+AACCQHQ0QkAMBwPoEAOsTAAQAAAAAgLSYfwMCgEB2NEBADgQA6xMArE8AEAAAAAAA0mL+DQgAAtnRAAE5EACsTwCwPgFAAAAAAABIi/k3IAAIZEcDBORgzeqBAcCuBx+Lnp6wtlpdXQKAdQkAAgAAAABAWsy/AQFAIDsaICAHgwW1isk9A4Ju1uBLAHBwAoAAAAAAAJAW829AABDIjgYIyIEAoABgEwQAAQAAAAAgLebfgAAgkB0NEJADAUABwCYIAAIAAAAAQFrMvwEBQCA7GiAgBwKAAoBNEAAEAAAAAIC0mH8DAoBAdjRAQA4GC2ot+8kT0dMTVo3V27u9/wXTJAAIAAAAAABpMf8GBACB7GiAgBwIatEE5woAAAAAANJi/g0IAALZ0QABORDUognOFQAAAAAApMX8GxAABLKjAQJyIKhFE5wrAAAAAABIi/k3IAAIZEcDBORAUIsmOFcAAAAAAJAW829AABDIjgYIyIGgFk1wrgAAAAAAIC3m34AAIJAdDRCQA0EtmuBcAQAAAABAWsy/AQFAIDsaICAHglo0wbkCAAAAAIC0mH8DAoBAdjRAQA4EtWiCcwUAAAAAAGkx/wYEAIHsaICAHAhq0QTnCgAAAAAA0mL+DQgAAtnRAAE5ENSiCc4VAAAAAACkxfwbEAAEsqMBAnIgqEUTnCsAAAAAAEiL+TcgAAhkRwME5EBQiyY4VwAAAAAAkBbzb0AAEMiOBgjIgaAWTXCuAAAAAAAgLebfgAAgkB0NEJADQS2a4FwBAAAAAEBazL8BAUAgOxogIAeCWjTBuQIAAAAAgLSYfwMCgEB2NEBADgS1aIJzBQAAAAAAaTH/BgQAgexogIAcCGrRBOcKAAAAAADSYv4NCAAC2dEAATkQ1KIJzhUAAAAAAKTF/BsQAASyowECciCoRROcKwAAAAAASIv5NyAACGRHAwTkQFCLJjhXAAAAAACQFvNvQAAQyI4GCMiBoBZNcK4AAAAAACAt5t+AACCQHQ0QkANBLZrgXAEAAAAAQFrMvwEBQCA7GiAgB4JaNMG5AgAAAACAtJh/AwKAQHY0QEAOBLVognMFAAAAAABpMf8GBACB7GiAgBwIatEE5woAAAAAANJi/g0IAALZ0QABORDUognOFQAAAAAApMX8GxAABLKjAQJyIKhFE5wrAAAAAABIi/k3IAAIZEcDBORAUIsmOFcAAAAAAJAW829AABDIjgYIyIGgFk1wrgAAAAAAIC3m34AAIJAdDRCQA0EtmuBcAQAAAABAWsy/AQFAIDsaICAHglo0wbkCAAAAAIC0mH8DAoBAdjRAQA4EtWiCcwUAAAAAAGkx/wYEAIHsaICAHAhq0QTnCgAAAAAA0mL+DQgAAtnRAAE5ENSiCc4VAAAAAACkxfwbEAAEsqMBAnIgqEUTnCsAAAAAAEiL+TcgAAhkRwME5EBQiyY4VwAAAAAAkBbzb0AAEMiOBgjIgaAWTXCuAAAAAAAgLebfgAAgkB0NEJADQS2a4FwBAAAAAEBazL8BAUAgOxogIAeCWjTBuQIAAAAAgLSYfwMCgEB2NEBADgS1aIJzBQAAAAAAaTH/BgQAgexogIAcCGrRBOcKAAAAAADSYv4NCAAC2dEAATkQ1KIJzhUAAAAAAKTF/BsQAASyowECciCoRROcKwAAAAAASIv5NyAACGRHAwTkQFCLJjhXAAAAAACQFvNvQAAQyI4GCMiBoBZNcK4AAAAAACAt5t+AACCQHQ0QkANBLZrgXAEAAAAAQFrMvwEBQCA7GiAgB4JaNMG5AgAAAACAtJh/AwKAQHY0QEAOBLVognMFAAAAAABpMf8GBACB7GiAgBwIatEE5woAAAAAANJi/g0IAALZ0QABORDUognOFQAAAAAApMX8GxAABLKjAQJyIKhFE5wrAAAAAABIi/k3IAAIZEcDBORAUIsmOFcAAAAAAJAW829AABDIjgYIyIGgFk1wrgAAAAAAIC3m34AAIJAdDRCQA0EtmuBcAQAAAABAWsy/AQFAIDsaICAHglo0wbkCAAAAAIC0mH8DAoBAdjRAQA4EtWiCcwUAAAAAAGkx/wYEAIHsaICAHAhq0QTnCgAAAAAA0mL+DQgAAtnRAAE5ENSiCc4VAAAAAACkxfwbEAAEsqMBAnIgqEUTnCsAAAAAAEiL+TcgAAhkRwME5EBQiyY4VwAAAAAAkBbzb0AAEMiOBgjIgaAWTXCuAAAAAAAgLebfgAAgkB0NEJADQS2a4FwBAAAAAEBazL8BAUAgOxogIAeCWjTBuQIAAAAAgLSYfwMCgEB2NEBADgS1aIJzBQAAAAAAaTH/BgQAgexogIAcCGrRBOcKAAAAAADSYv4NCAAC2dEAATkQ1KIJzhUAAAAAAKTF/BsQAASyowECciCoRROcKwAAAAAASIv5NyAACGRHAwTkQFCLJjhXAAAAAACQFvNvQAAQyI4GCMiBoBZNcK4AAAAAACAt5t+AACCQHQ0QkANBLZrgXAEAAAAAQFrMvwEBQCA7GiAgB4JaNMG5AgAAAACAtJh/AwKAQHY0QEAOBLVognMFAAAAAABpMf8GBACB7GiAgBwIatEE5woAAAAAANJi/g0IAALZ0QABORDUognOFQAAAAAApMX8GxAABLKjAQJyIKhFE5wrAAAAAABIi/k3IAAIZEcDBORAUIsmOFcAAAAAAJAW829AABDIjgYIyIGgFk1wrgAAAAAAIC3m34AAIJAdDRCQA0EtmuBcAQAAAABAWsy/AQFAIDsaICAHglo0wbkCAAAAAIC0mH8DAoBAdjRAQA4EtWiCcwUAAAAAAGkx/wYEAIHsaICAHAhq0QTnCgAAAAAA0mL+DQgAAtnRAAE5ENSiCc4VAAAAAACkxfwbEAAEsqMBAnIgqEUTnCsAAAAAAEiL+TcgAAhkRwME5EBQiyY4VwAAAAAAkBbzb0AAEMiOBgjIgaAWTXCuAAAAAAAgLebfgAAgkB0NEJADQS2a4FwBAAAAAEBazL8BAUAgOxogIAeCWjTBuQIAAAAAgLSYfwMCgEB2NEBADgS1aIJzBQAAAAAAaTH/BgQAgexogIAcCGrRBOcKAAAAAADSYv4NCAAC2dEAATkQ1KIJzhUAAAAAAKTF/BsQAASyowECciCoRROcKwAAAAAASIv5NyAACGRHAwTkQFCLJjhXAAAAAACQFvNvQAAQyI4GCMiBoBZNcK4AAAAAACAt5t+AACCQHQ0QkANBLZrgXAEAAAAAQFrMvwEBQCA7GiAgB4JaNMG5AgAAAACAtJh/AwKAQHY0QEAOBLVognMFAAAAAABpMf8GBACB7GiAgBwIatEE5woAAAAAANJi/g0IAALZ0QABORDUognOFQAAAAAApMX8GxAABLKjAQJyIKhFE5wrAAAAAABIi/k3IAAIZEcDBORAUIsmOFcAAAAAAJAW829AABDIjgYIyIGgFk1wrgAAAAAAIC3m34AAIJAdDRCQA0EtmuBcAQAAAABAWsy/AQFAIDsaICAHglo0wbkCAAAAAIC0mH8DAoBAdjRAQA4EtWiCcwUAAAAAAGkx/wYEAIHsaICAHAhq0QTnCgAAAAAA0mL+DQgAAtnRAAE5ENSiCc4VAAAAAACkxfwbEAAEsqMBAnIgqEUTnCsAAAAAAEiL+TcgAAhkRwME5EBQiyY4VwAAAAAAkBbzb0AAEMiOBgjIgaAWTXCuAAAAAAAgLebfgAAgkB0NEJADQS2a4FwBAAAAAEBazL8BAUAgOxogIAeCWjTBuQIAAAAAgLSYfwMCgEB2NEBADgS1aIJzBQAAAAAAaTH/BgQAgexogIAcCGrRBOcKAAAAAADSYv4NCAAC2dEAATkQ1KIJzhUAAAAAAKTF/BsQAASyowECciCoRROcKwAAAAAASIv5NyAACGRHAwTkQFCLJjhXAAAAAACQFvNvQAAQyI4GCMiBoBZNcK4AAAAAACAt5t+AACCQHQ0QkANBLZrgXAEAAAAAQFrMvwEBQCA7GiAgB4JaNMG5AgAAAACAtJh/AwKAQHY0QEAOBLVognMFAAAAAABpMf8GBACB7GiAgBwIatEE5woAAAAAANJi/g0IAALZ0QABORDUognOFQAAAAAApMX8GxAABLKjAQJyIKhFE5wrAAAAAABIi/k3IAAIZEcDBORAUIsmOFcAAAAA/5+9ew/SsjzvB/48L6dFDgrRFA+INqCmHtPasrExKDqaMbUhGoEYjxMTYx2HphqNaKsRi1ZNqzBWQvEUpaZJE41pjFox8ZDEoEbHKEEUEdSxIopy8hDZ6/dHh/fnugdWynNg789n5v4j+zx7773husdr5vrOuwBQL+bfgAAgkBwNEJACQS2KoK4AAAAAAKBezL8BAUAgORogIAWCWhRBXQEAAAAAQL2YfwMCgEByNEBACgS1KIK6AgAAAACAejH/BgQAgeRogIAUCGpRBHUFAAAAAAD1Yv4NCAACydEAASkQ1KII6goAAAAAAOrF/BsQAASSowECUiCoRRHUFQAAAAAA1Iv5NyAACCRHAwSkQFCLIqgrAAAAAACoF/NvQAAQSI4GCEiBoBZFUFcAAAAAAFAv5t+AACCQHA0QkAJBLYqgrgAAAAAAoF7MvwEBQCA5GiAgBYJaFEFdAQAAAABAvZh/AwKAQHI0QEAKBLUogroCAAAAAIB6Mf8GBACB5GiAgBQIalEEdQUAAAAAAPVi/g0IAALJ0QABKRDUogjqCgAAAAAA6sX8GxAABJKjAQJSIKhFEdQVAAAAAADUi/k3IAAIJEcDBKRAUIsiqCsAAAAAAKgX829AABBIjgYISIGgFkVQVwAAAAAAUC/m34AAIJAcDRCQAkEtiqCuAAAAAACgXsy/AQFAIDkaICAFgloUQV0BAAAAAEC9mH8DAoBAcjRAQAoEtSiCugIAAAAAgHox/wYEAIHkaICAFAhqUQR1BQAAAAAA9WL+DQgAAsnRAAEpENSiCOoKAAAAAADqxfwbEAAEkqMBAlIgqEUR1BUAAAAAANSL+TcgAAgkRwMEpEBQiyKoKwAAAAAAqBfzb0AAEEiOBghIgaAWRVBXAAAAAABQL+bfgAAgkBwNEJACQS2KoK4AAAAAAKBezL8BAUAgORogIAWCWhRBXQEAAAAAQL2YfwMCgEByNEBACgS1KIK6AgAAAACAejH/BgQAgeRogIAUCGpRBHUFAAAAAAD1Yv4NCAACydEAASkQ1KII6goAAAAAAOrF/BsQAASSowECUiCoRRHUFQAAAAAA1Iv5NyAACCRHAwSkQFCLIqgrAAAAAACoF/NvQAAQSI4GCEiBoBZFUFcAAAAAAFAv5t+AACCQHA0QkAJBLYqgrgAAAAAAoF7MvwEBQCA5GiAgBYJaFEFdAQAAAABAvZh/AwKAQHI0QEAKBLUogroCAAAAAIB6Mf8GBACB5GiAgBQIalEEdQUAAAAAAPVi/g0IAALJ0QABKRDUogjqCgAAAAAA6sX8GxAABJKjAQJSIKhFEdQVAAAAAADUi/k3IAAIJEcDBKRAUIsiqCsAAAAAAKgX829AABBIjgYISIGgFkVQVwAAAAAAUC/m34AAIJAcDRCQAkEtiqCuAAAAAACgXsy/AQFAIDkaICAFgloUQV0BAAAAAEC9mH8DAoBAcjRAQAoEtSiCugIAAAAAgHox/wYEAIHkaICAFAhqUQR1BQAAAAAA9WL+DQgAAsnRAAEpENSiCOoKAAAAAADqxfwbEAAEkqMBAlIgqEUR1BUAAAAAANSL+TcgAAgkRwMEpEBQiyKoKwAAAAAAqBfzb0AAEEiOBghIgaAWRVBXAAAAAABQL+bfgAAgkBwNEJACQS2KoK4AAAAAAKBezL8BAUAgORogIAWCWhRBXQEAAAAAQL2YfwMCgEByNEBACgS1KIK6AgAAAACAejH/BgQAgeRogIAUCGpRBHUFAAAAAAD1Yv4NCAACydEAASkQ1KII6goAAAAAAOrF/BsQAASSowECUiCoRRHUFQAAAAAA1Iv5NyAACCRHAwSkQFCLIqgrAAAAAACoF/NvQAAQSI4GCEiBoBZFUFcAAAAAAFAv5t+AACCQHA0QkAJBLYqgrgAAAAAAoF7MvwEBQCA5GiAgBYJaFEFdAQAAAABAvZh/AwKAQHI0QEAKBLUogroCAAAAAIB6Mf8GBACB5GiAgBQIalEEdQUAAAAAAPVi/g0IAALJ0QABKRDUogjqCgAAAAAA6sX8GxAABJKjAQJSIKhFEdQVAAAAAADUi/k3IAAIJEcDBKRAUIsiqCsAAAAAAKgX829AABBIjgYISIGgFkVQVwAAAAAAUC/m34AAIJAcDRCQAkEtiqCuAAAAAACgXsy/AQFAIDkaICAFgloUQV0BAAAAAEC9mH8DAoBAcjRAQAoEtSiCugIAAAAAgHox/wYEAIHkaICAFAhqUQR1BQAAAAAA9WL+DQgAAsnRAAEpENSiCOoKAAAAAADqxfwbEAAEkqMBAlIgqEUR1BUAAAAAANSL+TcgAAgkRwMEpEBQiyKoKwAAAAAAqBfzb0AAEEiOBghIgaAWRVBXAAAAAABQL+bfgAAgkBwNEJACQS2KoK4AAAAAAKBezL8BAUAgORogIAWCWhRBXQEAAAAAQL2YfwMCgEByNEBACgS1KIK6AgAAAACAejH/BgQAgeRogIAUCGpRBHUFAAAAAAD1Yv4NCAACydEAASkQ1KII6goAAAAAAOrF/BsQAASSowECUiCoRRHUFQAAAAAA1Iv5NyAACCRHAwSkQFCLIqgrAAAAAACoF/NvQAAQSI4GCEiBoBZFUFcAAAAAAFAv5t+AACCQHA0QkAJBLYqgrgAAAAAAoF7MvwEBQCA5GiAgBYJaFEFdAQAAAABAvZh/AwKAQHI0QEAKBLUogroCAAAAAIB6Mf8GBACB5GiAgBQIalEEdQUAAAAAAPVi/g0IAALJ0QABKRDUogjqCgAAAAAA6sX8GxAABJKjAQJSIKhFEdQVAAAAAADUi/k3IAAIJEcDBKRAUIsiqCsAAAAAAKgX829AABBIjgYISIGgFkVQVwAAAAAAUC/m34AAIJAcDRCQAkEtiqCuAAAAAACgXsy/AQFAIDkaICAFgloUQV0BAAAAAEC9mH8DAoBAcjRAQAoEtSiCugIAAAAAgHox/wYEAIHkaICAFAhqUQR1BQAAAAAA9WL+DQgAAsnRAAEpENSiCOoKAAAAAADqxfwbEAAEkqMBAlIgqEUR1BUAAAAAANSL+TcgAAgkRwMEpEBQiyKoKwAAAAAAqBfzb0AAEEiOBghIgaAWRVBXAAAAAABQL+bfgAAgkBwNEJACQS2KoK4AAAAAAKBezL8BAUAgORogIAWCWhRBXQEAAAAAQL2YfwMCgEByNEBACgS1KIK6AgAAAACAejH/BgQAgeRogIAUCGpRBHUFAAAAAAD1Yv4NCAACydEAASkQ1KII6goAAAAAAOrF/BsQAASSowECUiCoRRHUFQAAAAAA1Iv5NyAACCRHAwSkQFCLIqgrAAAAAACoF/NvQAAQSI4GCEiBoBZFUFcAAAAAAFAv5t+AACCuwGCNAAAgAElEQVSQHA0QkAJBLYqgrgAAAAAAoF7MvwEBQCA5GiAgBYJaFEFdAQAAAABAvZh/AwKAQHI0QEAKBLUogroCAAAAAIB6Mf8GBACB5GiAgBQIalEEdQUAAAAAAPVi/g0IAALJ0QABKRDUogjqCgAAAAAA6sX8GxAABJKjAQJSIKhFEdQVAAAAAADUi/k3IAAIJEcDBKRAUIsiqCsAAAAAAKgX829AABBIjgYISIGgFkVQVwAAAAAAUC/m34AAIJAcDRCQAkEtiqCuAAAAAACgXsy/AQFAIDkaICAFgloUQV0BAAAAAEC9mH8DAoBAcjRAQAoEtSiCugIAAAAAgHox/wYEAIHkaICAFAhqUQR1BQAAAAAA9WL+DQgAAsnRAAEpENSiCOoKAAAAAADqxfwbEAAEkqMBAlIgqEUR1BUAAAAAANSL+TcgAAgkRwMEpEBQiyKoKwAAAAAAqBfzb0AAEEiOBghIgaAWRVBXAAAAAABQL+bfgAAgkBwNEJACQS2KoK4AAAAAAKBezL8BAUAgORogIAWCWhRBXQEAAAAAQL2YfwMCgEByNEBACgS1KIK6AgAAAACAejH/BgQAgeRogIAUCGpRBHUFAAAAAAD1Yv4NCAACydEAASkQ1KII6goAAAAAAOrF/BsQAASSowECUiCoRRHUFQAAAAAA1Iv5NyAACCRHAwSkQFCLIqgrAAAAAACoF/NvQAAQSI4GCEiBoBZFUFcAAAAAAFAv5t+AACCQHA0QkAJBLYqgrgAAAAAAoF7MvwEBQCA5GiAgBYJaFEFdAQAAAABAvZh/AwKAQHI0QEAKBLUogroCAAAAAIB6Mf8GBACB5GiAgBQIalEEdQUAAAAAAPVi/g0IAALJ0QABKRDUogjqCgAAAAAA6sX8GxAABJKjAQJSIKhFEdQVAAAAAADUi/k3IAAIJEcDBKRAUIsiqCsAAAAAAKgX829AABBIjgYISIGgFkVQVwAAAAAAUC/m34AAIJAcDRCQAkEtiqCuAAAAAACgXsy/AQFAIDkaICAFgloUQV0BAAAAAEC9mH8DAoBAcjRAQAoEtSiCugIAAAAAgHox/wYEAIHkaICAFAhqUQR1BQAAAAAA9WL+DQgAAsnRAAEpENSiCOoKAAAAAADqxfwbEAAEkqMBAlIgqEUR1BUAAAAAANSL+TcgAAgkRwMEpEBQiyKoKwAAAAAAqBfzb0AAEEiOBghIgaAWReisrh586JexfM1yqwdrfdv6qv8JAQAAAADoZcy/AQFAIDkaICAFAoAUobO6snq+lq9ZXvU/IQAAAAAAvYz5NyAACCRHAwSkQACQIggACgACAAAAAFAv5t+AACCQHA0QkAIBQIogACgACAAAAABAvZh/AwKAQHI0QEAKBAApggCgACAAAAAAAPVi/g0IAALJ0QABKRAApAj/89QrkW21vN1a8Nvfx/I1y60PrAXLFwgAAgAAAABQOPNvQAAQSI4GCEiBACBFWL7g1ciyaLeWL3i16mPV0vI1ywUAAQAAAAAonPk3IAAIG9HW1hYzZsyIQYMGRZZl8fOf/7xH37fhP7AbW5/97Gd7dIabb745xo8fHx/96Edj4MCBMWbMmJgyZUo899xzPf5d1qxZE5deemn86Z/+aQwdOjSGDh0an/jEJ+KSSy6J1atX93ifJUuWxJQpU2LMmDExcODA2G677WL8+PFx0003RVtbW4/3efDBB2PSpEkxcuTIGDBgQIwcOTImTZoUDzzwQI/32BQaICAFAoAUQQCw5wQAAQAAAAAog/k3IAAI3Vi8eHGMGzeuXWCv7ADgunXr4ogjjogsy2LkyJFx0UUXxTXXXBMTJ06MPM9j6NChcfvtt2/0PIsWLYrddtstsiyLsWPHxpVXXhlXXnlljB07NrIsizFjxsSiRYs2us/tt98eQ4cOjTzPY+LEiXHNNdfERRddFCNHjowsy+KII46IdevWbXSfCy64IPI8j0GDBsWUKVPiO9/5TkyZMiUGDRoUeZ7HP/zDP2x0j02lAQJSIABIEQQAe04AEAAAAACAMph/AwKA0In3f+rf0KFDo7W1dZMCgNOnT4/f//733a6N/Qd44sSJkWVZ7L777rFixYp2z2bMmBFZlsXAgQPj0Ucf7XKPN954I8aMGRNZlsUxxxwT69evbz5bv359fOELX4gsy2K33XaLN954o8t9HnnkkRg4cGBkWRYzZ85s9+zVV19tBgwnTpzY7e909dVXR5Zl0dLSEvPnz2/37De/+U20tLRElmXxr//6r93us6k0QEAKBAApggBgzwkAAgAAAABQBvNvQAAQOnHBBRdElmVx+OGHx7Jly5r/+8MGAK+//vr/0zl++tOfNn/uz372s07f2RBOHDt2bJf7fOMb34gsy2Lw4MHx6qsdh/TLly+PwYMHR5ZlcfbZZ3e5z1/8xV9ElmXR2tra6fOf/exnzfPecccdnb7zyiuvNH/WOeec0+k755xzTvO8y5dv/kG5BghIgQAgRRAA7DkBQAAAAAAAymD+DQgAQicuuOCCmDNnTrv/XUUA8IADDmj+6d+2trZO35kzZ07zbPfcc0+H52+++WbzU/uOO+64Ln/Wcccd1/w0wVWrVnV4fvfddzd/zvv/v3m/tra22HnnnSPLsvjUpz7V6TtTp05t7vPMM890+s6zzz7bfOf888/v8sybSgMEpEAAkCJ0GgB88OmI5cutD6zlSxd0DACu+p+q/wkBAAAAAOhlzL8BAUDoxAfDdlUEAF988cXI8zyyLIsTTzyxy/eef/755tlOPfXUDs/nzp3bfN7deW644Ybme7fcckuH51/5yleaz5csWdLlPieddFJkWRZ5nsdLL73U4fmGPxM8atSoLveIiNhll12af/p4c9MAASkQAKQInQYAs22jwxetWL5V1jEAuHRB1f+EAAAAAAD0MubfgAAg9MDmCACuXbs2Vq9e3eOfefPNNzd/5pVXXtntu8OHD48sy2LMmDEdnp1yyinNfR5//PEu93jiiSea733lK1/p8Hz06NGRZVlss8023Z5lxowZzX3mzp3b7tmLL77YfDZhwoRu9znqqKOa73YWJPy/0AABKRAApAgCgAKAAAAAAADUi/k3IAAIPbCpAcDzzjsvvva1r8V2223X/P6WlpY48MAD4+qrr4633367y+//5je/2fyeH/7wh93+rH333TeyLItGoxFvvfVWu2etra3NfV577bUu91i5cmXzvQMOOKDds3Xr1kWj0Ygsy2Lvvffu9iy33nprc5+pU6e2e3bnnXc2n51xxhnd7jNlypTmu3fffXe3735YGiAgBQKAFEEAUAAQAAAAAIB6Mf8GBAChBzY1AJhlWeyyyy5x8cUXx2233RY/+tGP4pxzzomtt946siyLPffcM5599tlOv3/y5MnNPR588MFuf9Zhhx3WfHfRokXtno0YMSKyLIu+fftu9Mz9+/ePLMtihx12aPf1hQsXNvc/9NBDu93jV7/6VfPdY489tt2zWbNmNZ9dfPHF3e4zffr05ruzZ8/e6Nnf74UXXuh2zZ8/XwME9HoCgBRBAFAAEAAAAACAehEABAQAoQc2NQB4xBFHxJo1azo8W7JkSey0006RZVl87GMfi9dff73DO5/97GebP/ORRx7p9md97nOfa7776KOPtns2aNCgyLIsBg8evNEzbwgmDhkypN3XH3744eb+f/VXf9XtHo899ljz3SOPPLLds8svv7z57Iorruh2n3/5l39pvvvtb397o2d/vw3f15P15JNPxsqVKy3Lsnrd+s398zuEj35z//zKz2Vt2euZp1/vkHV79qHF8cYzz1gfWIvv/1mHO/js7x6q/N/QsizLsizLsizLsizLsizL6l3rySefFACExAkAQg9sSgBwyZIl8c4773T5/D//8z+be5511lkdno8fP775/Iknnuj2Zx1zzDHNdx944IF2zzb86d7hw4dv9Mwb/lRxnz592n39/vvvb+5/1FFHdbvHU0891Xz3kEMOaffsoosuaj6bMWNGt/tcffXVzXenTZu20bO/34cJAM6ZMyduu+02y7KsXre+c9XsDuGj71w1u/JzWVv2uvHGOzoEAG+88Y7Kz1XHdct1MzvcwVuum1n5uSzLsizLsizLsizLsizLsqzetebMmSMACIkTAIQe2JQA4Ma899578ZGPfKQZzlu/fn275z4BcNM/AfDD/AlgnwBoWVZvXT4B0CpiPfPMGx0CgM8880bl56rjevZ3D/kEQMuyLMuyLMuyLMuyLMuyLKvw5RMAAQFA6IEiAoAREYccckhz36eeeqrds8mTJzefPfjgg93uc9hhhzXfXbRoUbtnI0aMiCzLom/fvhs9z4ABAyLLsthhhx3afX3hwoXN/Q899NBu9/jVr37VfPfYY49t92zWrFnNZxdffHG3+0yfPr357uzZszd69g/jhRde0AABvd6C3/6+Q/howW9/X/Wx2MItXx4dAoDLl1d9qnpavnRBhzu4fOmCqo8FAAAAAEAvY/4NCABCDxQVAPziF7/Y3Peee+5p9+yb3/xm89kPf/jDbvfZd999I8uyaDQa8dZbb7V71tra2tzntdde63KPlStXNt/75Cc/2e7ZunXrmn9KeO+99+72LLfeemtzn3PPPbfdszvvvLP57Iwzzuh2nylTpjTfveuuu7p998PSAAEpEACkCAKAPScACAAAAABAGcy/AQFA6IGiAoCTJk3qct+bbrqp+ezKK6/sdp8Nf0p49OjRHZ59+ctfbu7z+OOPd7nH7373u+Z7p5xySofnH/vYxyLLshg2bFi3Z5k5c2Zzn5tvvrnds/c3HhMmTOh2n6OPPrr57osvvtjtux+WBghIgQAgRRAA7DkBQAAAAAAAymD+DQgAQg982ADgzJkz48Ybb9zoe+PGjWvuu3DhwnbPXnjhhcjzPLIsi5NOOqnLPZYuXdrc46tf/WqH5zfffHPz+Q033NDlPjfeeGPzvX//93/v8PyUU05pPn/++ee73Ofkk0+OLMsiz/NOg3tjxoyJLMtil1126XKPiIhdd901siyL3Xbbrdv3NoUGCEiBACBF6CwAuGDB/37dar86u4P/s0QAEAAAAACAzcv8GxAAhB74sAHAUaNGxe67797tO2+//XYMHTo0siyL7bbbLtra2jq888lPfjKyLItRo0Z1+jwi4tprr22e7e677+7w/I033oiWlpbIsiyOP/74Ls9z/PHHR5ZlMXDgwHjzzTc7PL/rrruaP+faa6/tdI+2trYYNWpUZFkWBxxwQKfvnHvuuc19Fi9e3Ok7ixcvbr4zderULs+8qTRAQAoEAClCZwFAq4u11XJ3EAAAAACAwpl/AwKA0AObEgDM87zLgFtExHXXXbfRkNtPfvKT5jt33XVXp+9sCAn++Z//eZc/68wzz4wsy2LIkCGxYsWKDs9XrFgRQ4YMiSzL4qyzzup0j7a2tth///27Dfe9PyT4X//1X52+8/LLL8egQYMiy7I499xzO31nQ0hw0KBB8corr3T5e20qDRCQAgFAiiAAKAAIAAAAAEC9mH8DAoDQA5sSAMyyLD796U/HqlWrOjx/7LHHYvjw4ZFlWeyxxx6dfuLeBkcffXTzvQ+G92bOnBlZlkVLS0vMnz+/yz1WrlwZo0ePjizLYtKkSbF+/frms/Xr18fEiRMjy7IYPXp0rFy5sst95s+f3/w0wauvvrrdsxUrVsTuu+8eWZbF0Ucf3eUe7z/3wIED4+GHH2737OGHH27+jJkzZ3a7z6bSAAEpEACkCAKAAoAAAAAAANSL+TcgAAhduOmmm5rr85//fLz/0/o2fL2zP7kbEfHXf/3Xzfe33377OOuss2LOnDlxzTXXxIknnhj9+/ePDZ/at2zZsm7PsXbt2vjMZz4TWZbFzjvvHBdffHHMmjUrJk2aFHmex5AhQ+K2227b6O/z9NNPN0OAra2tcdVVV8VVV10Vra2tzfDfwoULN7rPbbfdFkOGDIk8z2Py5Mkxa9asmDZtWuy8886RZVkcfvjhsXbt2o3uc/7550ee5zFo0KD4+te/HrNnz46//du/jUGDBkWe53HeeedtdI9NpQECUiAASBEEAAUAAQAAAACoF/NvQAAQurDhP5DdrXHjxnX5/U8++WRcdNFFccghh8QOO+wQ/fv3j5aWlhg5cmQcddRR8f3vfz/ee++9Hp2lra0tvvvd78bBBx8c2267bbS0tMTo0aPjjDPO6PbPDH/Q6tWrY/r06bHffvvFkCFDYsiQIbHffvvF9OnTY/Xq1T3e57nnnoszzjgjRo8eHS0tLbHtttvGwQcfHN/97nejra2tx/s88MADMXHixNhxxx2jf//+seOOO8bEiRPj/vvv7/Eem0IDBKRAAJAirF//vyFAa+PrwXufdgcBAAAAACic+TcgAAgkRwMEpEAAEKrlDgIAAAAAUAbzb0AAEEiOBghIgfARVMsdBAAAAACgDObfgAAgkBwNEJAC4SOoljsIAAAAAEAZzL8BAUAgORogIAXCR1AtdxAAAAAAgDKYfwMCgEByNEBACoSPoFruIAAAAAAAZTD/BgQAgeRogIAUCB9BtdxBAAAAAADKYP4NCAACydEAASkQPoJquYMAAAAAAJTB/BsQAASSowECUiB8BNVyBwEAAAAAKIP5NyAACCRHAwSkQPgIquUOAgAAAABQBvNvQAAQSI4GCEiB8BFUyx0EAAAAAKAM5t+AACCQHA0QkALhI6iWOwgAAAAAQBnMvwEBQCA5GiAgBcJHUC13EAAAAACAMph/AwKAQHI0QEAKhI+gWu4gAAAAAABlMP8GBACB5GiAgBQIH0G13EEAAAAAAMpg/g0IAALJ0QABKRA+gmq5gwAAAAAAlMH8GxAABJKjAQJSIHwE1XIHAQAAAAAog/k3IAAIJEcDBKRA+Aiq5Q4CAAAAAFAG829AABBIjgYISIHwEVTLHQQAAAAAoAzm34AAIJAcDRCQAuEjqJY7CAAAAABAGcy/AQFAIDkaICAFwkdQLXcQAAAAAIAymH8DAoBAcjRAQAqEj6Ba7iAAAAAAAGUw/wYEAIHkaICAFAgfQbXcQQAAAAAAymD+DQgAAsnRAAEpED6CarmDAAAAAACUwfwbEAAEkqMBAlIgfATVcgcBAAAAACiD+TcgAAgkRwMEpED4CKrlDgIAAAAAUAbzb0AAEEiOBghIgfARVMsdBAAAAACgDObfgAAgkBwNEJAC4SOoljsIAAAAAEAZzL8BAUAgORogIAXCR1AtdxAAAAAAgDKYfwMCgEByNEBACoSPoFruIAAAAAAAZTD/BgQAgeRogIAUCB9BtdxBAAAAAADKYP4NCAACydEAASkQPoJquYMAAAAAAJTB/BsQAASSowECUiB8BNVyBwEAAAAAKIP5NyAACCRHAwSkQPgIquUOAgAAAABQBvNvQAAQSI4GCEiB8BFUyx0EAAAAAKAM5t+AACCQHA0QkALhI6iWOwgAAAAAQBnMvwEBQCA5GiAgBcJHUC13EAAAAACAMph/AwKAQHI0QEAKhI+gWu4gAAAAAABlMP8GBACB5GiAgBQIH0G13EEAAAAAAMpg/g0IAALJ0QABKRA+gmq5gwAAAAAAlMH8GxAApBbWrVsXb775Zrz55puxatWqTt+566674umnny75ZPRGGiAgBcJHUC13EAAAAACAMph/AwKAVO7dd9+NESNGRKPRiEajEcOGDev0vcmTJ0efPn3ihBNOiNWrV5d8SnoTDRCQAuEjqJY7CAAAAABAGcy/AQFAKvejH/0o8jyPPM9jv/32i2nTpnX63nXXXRe77LJL5HkeBx10ULS1tZV8UnoLDRCQAuEjqJY7CAAAAABAGcy/AQFAKvflL3858jyPyy67bKPvrl+/Ps4888xoNBoxZ86cEk5Hb6QBAlIgfATVcgcBAAAAACiD+TcgAEjl9tlnnxg/fvyH+p6xY8fGuHHjijkQvZ4GCEiB8BFUyx0EAAAAAKAM5t+AACCV23rrrWP69Okf6nv+8R//MYYNG1bQiejtNEBACoSPoFruIAAAAAAAZTD/BgQAqVz//v3juuuu+1Dfc+2110b//v0LOhG9nQYISIHwEVTLHQQAAAAAoAzm34AAIJXbfvvt49xzz/1Q3zN16tTYfvvtCzoRvZ0GCEiB8BFUyx0EAAAAAKAM5t+AACCVO/LII2PEiBGxYsWKHr3/2muvxfbbbx9HHnlkwSejt9IAASkQPoJquYMAAAAAAJTB/BsQAKRyt9xyS+R5HnvssUfMmzev23d/8YtfxJ577hmNRiO+//3vl3RCehsNEJAC4SOoljsIAAAAAEAZzL8BAUBq4cADD4w8z6PRaMSOO+4Yn/vc5+L000+PM888M04//fSYMGFCjBw5MhqNRuR5HgcddFDVR2YLpgECUiB8BNVyBwEAAAAAKIP5NyAASC2sWLEi9t9//8jzvBkE/ODa8Gzs2LHx+uuvV31ktmAaICAFwkdQLXcQAAAAAIAymH8DAoDUxrvvvhuXXHJJ7Ljjjs2w3/vXTjvtFJdddlm8++67VR+VLZwGCEiB8BFUyx0EAAAAAKAM5t+AACC1tGDBgrj99ttj7ty5cfvtt8eCBQuqPhK9iAYISIHwEVTLHQQAAAAAoAzm34AAIKXxZ3upCw0QkALhI6iWOwgAAAAAQBnMvwEBQErTr1+/GD9+fFx11VWxdOnSqo9DwjRAQAqEj6Ba7iAAAAAAAGUw/wYEAClNnueR53k0Go1oNBrxiU98Ir71rW/F448/XvXRSIwGCEiB8BFUyx0EAAAAAKAM5t+AACClefnll2PWrFlx+OGHx4ABA9qFAXfdddf4+te/Hr/4xS+ira2t6qPSy2mAgBQIH0G13EEAAAAAAMpg/g0IAFKJVatWxfe+972YNGlSbL311u3CgNtuu22cfPLJceutt8a6deuqPiq9kAYISIHwEVTLHQQAAAAAoAzm34AAIJV79913484774xTTz01dthhh3Z/KnirrbaKCRMmxPXXXx8rVqyo+qj0EhogIAXCR1AtdxAAAAAAgDKYfwMCgNTOQw89FOecc07sscce7cKA/fr1i3HjxsU///M/x3PPPVf1MdmCaYCAFAgfQbXcQQAAAAAAymD+DQgAUmsLFy6MSy+9NFpbW6PRaLT7U8H77LNPXHDBBfHb3/626mOyhdEAASkQPoJquYMAAAAAAJTB/BsQAGSL8fLLL8esWbPi8MMPjwEDBjQ/HbBPnz5VH40tjAYISIHwEVTLHQQAAAAAoAzm34AAIKW57777Yvny5Ztlr1WrVsX3vve9mDRpUmy99dabZU/SoQECUiB8BNVyBwEAAAAAKIP5NyAASGkajUbMnTt3s+/77rvvbvY96d00QEAKhI+gWu4gAAAAAABlMP8GBAApTZ7ncckll1R9DNAAAUkQPoJquYMAAAAAAJTB/BsQAKQ0eZ5Ho9GIUaNGxfnnnx+LFi2q+kgkSgMEpED4CKrlDgIAAAAAUAbzb0AAkNLkeR5HH3107L///s0wYGtra1xzzTWxcuXKqo9HQjRAQAqEj6Ba7iAAAAAAAGUw/wYEAClNnucxd+7ciIh46qmn4uyzz46ddtop8jyPlpaW+MIXvhC33357vPfeexWflN5OAwSkQPgIquUOAgAAAABQBvNvQACQ0px00knx0EMPtftaW1tb3H333fGlL30pBg0aFI1GIz760Y/GlClT4pFHHqnopPR2GiAgBcJHUC13EAAAAACAMph/AwKA1Mbq1avjuuuui4MOOigajUY0Go3Yc88947LLLouXXnqp6uPRi2iAgBQIH0G13EEAAAAAAMpg/g0IAFJLS5cujWnTpsXuu+8eeZ5H375947DDDou5c+fGunXrqj4eWzgNEJAC4SOoljsIAAAAAEAZzL8BAUBq79e//nV87Wtfi+HDh0ej0YihQ4fGySefHPfee2/VR2MLpQECUiB8BNVyBwEAAAAAKIP5NyAAyBbj3nvvjT/+4z+OPM8jz/Po06dP1UdiC6UBAlIgfATVcgcBAAAAACiD+TcgAEitbfhTwLvttls0Go3myvM8Go1G1cdjC6UBAlIgfATVcgcBAAAAACiD+TcgAEjtrFmzJm644YY4+OCDo0+fPu1CfxvWPvvsE9/+9rerPipbKA0QkALhI6iWOwgAAAAAQBnMvwEBQGpj3rx5ccIJJ8TgwYM7Df2NGDEi/u7v/i4ef/zxqo/KFk4DBKRA+Aiq5Q4CAAAAAFAG829AAJDS7LrrrvHjH/+43deefvrpmDp1auy8886dhv4GDhwYkydPjjvuuCPWr19f0cnpbTRAQAqEj6Ba7iAAAAAAAGUw/wYEAClNnucxd+7cWLlyZVxzzTXR2traDP29P/jXaDTi05/+dMyZMyfefPPNqo9NL6QBAlIgfATVcgcBAAAAACiD+TcgAEhp8jyPvfbaK1paWjr9tL/Ro0fHRRddFEuWLKn6qPRyGiAgBcJHUC13EAAAAACAMph/AwKAlGbDp/u9P/Q3bNiwOPXUU+OXv/xl1ccjIRogIAXCR1AtdxAAAAAAgDKYfwMCgJRmQ+ivX79+ceSRR8YPfvCDeOedd6o+FgnSAAEpED6CarmDAAAAAACUwfwbEACkNHmex2mnnRavvvpq1UchcRogIAXCR1AtdxAAAAAAgDKYfwMCgJQmz/OYO3du1ccADRCQBOEjqJY7CAAAAABAGcy/AQFASnPhhRfG7373u6qPARogIAnCR1AtdxAAAAAAgDKYfwMCgNTO22+/Hb/+9a/j1ltvjVdeeaX59bVr11Z4KnoTDRCQAuEjqJY7CAAAAABAGcy/AQFAauPZZ5+NY489NgYMGBCNRiMajUbMmzev+XzIkCHxpS99KRYvXlzhKekNNEBACoSPoFruIAAAAAAAZTD/BgQAqYWf//znMXTo0Gg0GpHneXM69fwAACAASURBVOR53iEAuM0220Se5zF06NC45557KjwtWzoNEJAC4SOoljsIAAAAAEAZzL8BAUAq99prr8Xw4cMjz/P4yEc+Esccc0ycdtppHQKA69ati9mzZ8fgwYNj2LBh8fLLL1d4arZkGiAgBcJHUC13EAAAAACAMph/AwKAVO7CCy+MPM/jb/7mb+Ktt96KiIhXX3018jxvFwDc4NFHH41+/frF1KlTyz4qvYQGCEiB8BFUyx0EAAAAAKAM5t+AACCVGzt2bLS2trb72ooVK7oMAEZEnHDCCbHffvuVcTx6IQ0QkALhI6iWOwgAAAAAQBnMvwEBQCo3fPjwuOKKK9p9bWMBwBkzZsTQoUPLOB69kAYISIHwEVTLHQQAAAAAoAzm34AAIJXr379/XH/99e2+trEA4KxZs6KlpaWE09EbaYCAFAgfQbXcQQAAAAAAymD+DQgAUrkddtghzjvvvHZf21gA8MQTT4yRI0eWcTx6IQ0QkALhI6iWOwgAAAAAQBnMvwEBQCr3+c9/PkaMGBErVqxofq27AOBDDz0U/fv3j8mTJ5d5THoRDRCQAuEjqJY7CAAAAABAGcy/AQFAKveTn/wk8jyPj3/843H33XdHxP8PAN57773N91577bW4/PLLY8iQIdFoNOK///u/qzoyWzgNEJAC4SOoljsIAAAAAEAZzL8BAUBq4aijjoo8z6PRaMR2220X48aNizzP48ADD4zPfOYz8fGPfzz69u0bjUYj8jyPL37xi1UfmS2YBghIgfARVMsdBAAAAACgDObfgAAgtfDWW2/FhAkTIs/zZhDwg2vDs2OOOSbeeeedqo/MFkwDBKRA+Aiq5Q4CAAAAAFAG829AAJBa+Y//+I/4y7/8y+jbt28z8JfnefTt2zc+9alPxQ9+8IOqj0gvoAECUiB8BNVyBwEAAAAAKIP5NyAASC2tXr06nnjiifjlL38ZTzzxRKxevbrqI9GLaICAFAgfQbXcQQAAAAAAymD+DQgAAsnRAAEpED6CarmDAAAAAACUwfwbEAAEkqMBAlIgfATVcgcBAAAAACiD+TcgAEjt/OEPf4j77ruvy/XAAw9UfUS2cBogIAXCR1AtdxAAAAAAgDKYfwMCgJTqxz/+cXzjG99orrPPPjtef/31du+sWLEi8jyPRqPR5frpT39a0W9Ab6ABAlIgfATVcgcBAAAAACiD+TcgAEip9tprr2aIb0PI77nnnmv3zoYAYHfrwAMPrOg3oDfQAAEpED6CarmDAAAAAACUwfwbEACkNIsWLWqG/rbZZpuYNm1aLF68uMN7GwKAJ5xwQlx44YUd1rBhw6LRaMTSpUsr+C3oDTRAQAqEj6Ba7iAAAAAAAGUw/wYEACnNrFmzIs/z2G233WLZsmVdvrchADhv3rxOn19xxRWR53nMmDGjqKPSy2mAgBQIH0G13EEAAAAAAMpg/g0IAFKa448/Pvr06ROPPfZYt+9tLAC4evXqGDRoUBx33HFFHJMEaICAFAgfQbXcQQAAAAAAymD+DQgAUpr9998/xo8fv9H3NhYAjIiYMGFC7LvvvpvzeCREAwSkQPgIquUOAgAAAABQBvNvQACQ0my33XbxrW99a6Pv/eEPf4g777wzXn/99S7fufjii+OP/uiPNufxSIgGCEiB8BFUyx0EAAAAAKAM5t+AACClGTBgQMyZM2ez7PVv//ZvMXDgwM2yF+nRAAEpED6CarmDAAAAAACUwfwbEACkNIMHD95sAcDZs2fHVltttVn2Ij0aICAFwkdQLXcQAAAAAIAymH8DAoCUZtddd41p06Ztlr0uvPDCGDVq1GbZi/RogIAUCB9BtdxBAAAAAADKYP4NCABSmsMPPzwOPfTQzbLXgQceGIcccshm2Yv0aICAFAgfQbXcQQAAAAAAymD+DQgAUprLL788+vfvHwsXLvw/7TN//vxoNBpx6aWXbqaTkRoNEJAC4SOoljsIAAAAAEAZzL8BAUBKs2zZshgwYEC0trbGmjVrNmmPV199Nf7kT/4k+vfvH88///xmPiGp0AABKRA+gmq5gwAAAAAAlMH8GxAApFSnn3565Hkef/ZnfxaPPvroh/reefPmxZgxY6LRaMRpp51W0AlJgQYISIHwEVTLHQQAAAAAoAzm34AAIKVas2ZN7L333pHnefTp0yfGjRsXV155Zdx3333x8ssvx9q1a6OtrS3Wrl0bL730UsybNy/+6Z/+Kfbff/9oNBqR53nss88+m/wJghChAQLSIHwE1XIHAQAAAAAog/k3IABI6ZYtWxZ77rln5HkejUajxyvP89hrr71i2bJlVf8KbOE0QEAKhI+gWu4gAAAAAABlMP8GBACpxNq1a+OrX/1q9OvXL/I83+jq169fnHrqqbF27dqqj04voAECUiB8BNVyBwEAAAAAKIP5NyAASKWef/75+Pu///v4y//H3r0H2VGW+QPv7pBMLuSCECAxmsRVLgYXF4EiAgKrbtgCS5RVLqUYDBBZRRGJXDWouLKAFYRkMRN0QZOUlrsSAq6KwIIEQcobEZCIEiKgMATBkEAykHl+f/yKUztMZkiaSXd63s+n6vmD0z097zmp9+Wper515sADY9iwYd1Cf8OGDYsDDzwwPv/5z8eqVavqXioDiAYISIHwEdTLHgQAAAAAoArm34AAINuUZ599Nh577LF49tln614KA5gGCEiB8BHUyx4EAAAAAKAK5t+AACCQHA0QkALhI6iXPQgAAAAAQBXMvwEBQCA5GiAgBcJHUC97EAAAAACAKph/AwKAQHI0QEAKhI+gXvYgAAAAAABVMP8GBACB5GiAgBQIH0G97EEAAAAAAKpg/g0IAALJ0QABKRA+gnrZgwAAAAAAVMH8GxAABJKjAQJSIHwE9bIHAQAAAACogvk3IAAIJEcDBKRA+AjqZQ8CAAAAAFAF829AABBIjgYISIHwEdTLHgQAAAAAoArm34AAIJAcDRCQAuEjqJc9CAAAAABAFcy/AQFAIDkaICAFwkdQL3sQAAAAAIAqmH8DAoBs07q6umLVqlWxYcOGupfCAKIBAlIgfAT1sgcBAAAAAKiC+TcgAMg2bfXq1VEURdx8883dXr/zzjvjxBNPrGlVNJ0GCEiB8BHUyx4EAAAAAKAK5t+AACDbtNWrV0ee5z0CgAsXLoyiKGpaFU2nAQJSIHwE9bIHAQAAAACogvk3IADINk0AkK1BAwSkQPgI6mUPAgAAAABQBfNvQACQylxzzTVbXPPmzYs8z+Oss87q9vrMmTMFAClNAwSkQPgI6mUPAgAAAABQBfNvQACQyuR5HkVRbHH19XNQhgYISIHwEdTLHgQAAAAAoArm34AAIJV5KciX53m/lAAgZWmAgBQIH0G97EEAAAAAAKpg/g0IAFKZD3zgA63g3vve9764+uqrX7GuuOKK1p8A/r+v+xPAvBoaICAFwkdQL3sQAAAAAIAqmH8DAoBU6rrrrosJEyZEURTxgQ98IP7yl7/0ef/q1asjz/O4+eabu72+cOFCAUBK0wABKRA+gnrZgwAAAAAAVMH8GxAApHJr1qyJj33sY1EUReywww7R3t7e670CgGwNGiAgBcJHUC97EAAAAACAKph/AwKA1Ob222+PPfbYI4qiiHe84x2xYsWKHvf0FgC88847Y/r06VUtlQFGAwSkQPgI6mUPAgAAAABQBfNvQACQWm3YsCHOP//8GDJkSAwdOjS+9KUvxQsvvNC63lsAEF4NDRCQAuEjqJc9CAAAAABAFcy/AQFAtgnLly+P/fffP/I8j7322ivuvPPOiBAAZOvQAAEpED6CetmDAAAAAABUwfwbEABkm9HV1RVz5syJ7bffPgYNGhQf//jH46GHHhIApN9pgIAUCB9BvexBAAAAAACqYP4NCACyzXn44Yfj8MMPjzzPY+zYsVEUhQAg/UoDBKRA+AjqZQ8CAAAAAFAF829AAJBt1re//e3YaaedBADpdxogIAXCR1AvexAAAAAAgCqYfwMCgGzTnnrqqbj11lvjmWeeqXspDCAaICAFwkdQL3sQAAAAAIAqmH8DAoBAcjRAQAqEj6Be9iAAAAAAAFUw/wYEAIHkaICAFAgfQb3sQQAAAAAAqmD+DQgAUpu1a9fGd7/73Zg5c2YcdNBBMWHChBg9enQMHjw4Ro8eHRMmTIgDDzwwTjnllPjOd74Tzz77bN1LZoDQAAEpED6CetmDAAAAAABUwfwbEACkcmvWrImzzz47RowYEUVRdKs8z1v18msjRoyIs846K/72t7/V/RZoOA0QkALhI6iXPQgAAAAAQBXMvwEBQCr14IMPxh577NEj7JfnebS1tcWYMWNi5513jjFjxsTQoUN73FMURey+++7x4IMP1v1WaDANEJAC4SOolz0IAAAAAEAVzL8BAUAqs3bt2thtt90iz/MYOXJkfPjDH45rrrkmfvvb38YzzzyzyZ955pln4t57741vfetbccIJJ8SoUaMiz/PYfffdY926dRW/AwYKDRCQAuEjqJc9CAAAAABAFcy/AQFAKnPRRRdFnufxwQ9+MJ588slSz3jqqafigx/8YBRFEf/+7//ezyskFRogIAXCR1AvexAAAAAAgCqYfwMCgFRmn332ialTp77q53R1dcXUqVNjn3326YdVkSINEJAC4SOolz0IAAAAAEAVzL8BAUAqM3r06Lj88sv75VmXX355jB49ul+eRXo0QEAKhI+gXvYgAAAAAABVMP8GBACpjAAg2woNEJAC4SOolz0IAAAAAEAVzL8BAUAq87a3vc2fAGaboAECUiB8BPWyBwEAAAAAqIL5NyAASGUuuuiiyPM8jj322HjqqadKPeOvf/1rHHfccVEURVx00UX9vEJSoQECUiB8BPWyBwEAAAAAqIL5NyAASGXWrVsXu+22WxRFEaNGjYoTTjghrrnmmli+fHk8/fTTm/yZp59+OpYvXx7f+ta34iMf+UiMHj06iqKI3XbbLdatW1fxO2Cg0AABKRA+gnrZgwAAAAAAVMH8GxAApFK///3v401velPkeR5FUXSrIUOGxKhRo2KnnXaKUaNGxZAhQ3rck+d5vOlNb4rf//73db8VGkwDBKRA+AjqZQ8CAAAAAFAF829AAJDK/e1vf4tZs2bF8OHDI8/zHvVS0O/lNWzYsDjzzDPjmWeeqfst0HAaICAFwkdQL3sQAAAAAIAqmH8DAoDUZs2aNbF48eI4+eSTY+rUqTFu3LjYfvvtY9CgQbH99tvHuHHjYurUqXHSSSfFokWL4m9/+1vdS2aA0AABKRA+gnrZgwAAAAAAVMH8GxAABJKjAQJSIHwE9bIHAQAAAACogvk3IAAIJEcDBKRA+AjqZQ8CAAAAAFAF829AABBIjgYISIHwEdTLHgQAAAAAoArm34AAIJAcDRCQAuEjqJc9CAAAAABAFcy/AQFAGuX555+PBQsWRHt7ezz33HN1L4eG0gABKRA+gnrZgwAAAAAAVMH8GxAApFGmTZsWRVFEURRx+OGH170cGkoDBKRA+AjqZQ8CAAAAAFAF829AAJBGGTNmTBRFEXmex5gxY+peDg2lAQJSIHwE9bIHAQAAAACogvk3IABIo3z1q1+NwYMHx3bbbReXXnpp3cuhoTRAQAqEj6Be9iAAAAAAAFUw/wYEAGmctWvXxtq1a+teBg2mAQJSIHwE9bIHAQAAAACogvk3IAAIJEcDBKRA+AjqZQ8CAAAAAFAF829AABBIjgYISIHwEdTLHgQAAAAAoArm34AAIJAcDRCQAuEjqJc9CAAAAABAFcy/AQFAatfV1RV/+MMf4qabboprr702Fi1aFNdee23cdNNN8eCDD0ZXV1fdS2SA0QABKRA+gnrZgwAAAAAAVMH8GxAApBadnZ3xzW9+M/75n/85hg8fHkVR9FrDhg2Lww8/PL7xjW/Ehg0b6l46A4AGCEiB8BHUyx4EAAAAAKAK5t+AACCV+5//+Z+YNGlSK+CX5/kr1kv3Tpo0KW644Ya63wINpwECUiB8BPWyBwEAAAAAqIL5NyAASKUWLFgQ2223XSvY19bWFm9729viqKOOipkzZ8bpp58en/3sZ+P000+PmTNnxlFHHRX77rtvDB06tPUzgwYNivb29rrfCg2mAQJSIHwE9bIHAQAAAACogvk3IABIZZYvXx5tbW2R53kce+yxcfPNN0dnZ+dm/ewLL7wQt9xySxx33HFRFEW0tbXF8uXLt/KKGag0QEAKhI+gXvYgAAAAAABVMP8GBACpzEknnRRDhgyJpUuXvqrnLF26NIYMGRInnXRSP62M1GiAgBQIH0G97EEAAAAAAKpg/g0IAFKZyZMnx8knn9wvzzr55JNj8uTJ/fIs0qMBAlIgfAT1sgcBAAAAAKiC+TcgAEhlhg4dGgsWLOiXZy1YsCCGDRvWL88iPRogIAXCR1AvexAAAAAAgCqYfwMCgFRm/Pjx8bnPfa5fnnX++efHuHHj+uVZpEcDBKRA+AjqZQ8CAAAAAFAF829AAJDKHHnkkTF27Nh4+OGHX9VzVq5cGTvttFO85z3v6aeVkRoNEJAC4SOolz0IAAAAAEAVzL8BAUAqc8MNN0Se57HLLrtEe3t7rF27dot+/rnnnosFCxbErrvuGkVRxA9+8IOttFIGOg0QkALhI6iXPQgAAAAAQBXMvwEBQCo1Y8aMyPM8iqKIESNGxGGHHRZnnHFGzJkzJxYvXhzf//7344Ybbojvf//7sXjx4pgzZ06cccYZ8Y//+I8xYsSIKIoi8jyPj370o3W/FRpMAwSkQPgI6mUPAgAAAABQBfNvQACQSnV1dcWsWbNi0KBBrSDg5lae5zFo0KCYNWtWdHV11f1WaDANEJAC4SOolz0IAAAAAEAVzL8BAUBqce+998bxxx8fo0aNijzPX7FGjhwZxx9/fCxfvrzupTMAaICAFAgfQb3sQQAAAAAAqmD+DQgAUqsNGzbEHXfcEfPnz49zzjknPvGJT8SMGTPiE5/4RJxzzjkxf/78WLZsWWzYsKHupTKAaICAFAgfQb3sQQAAAAAAqmD+DQgAAsnRAAEpED6CetmDAAAAAABUwfwbEAAEkqMBAlIgfAT1sgcBAAAAAKiC+TcgAAgkRwMEpED4COplDwIAAAAAUAXzb0AAEEiOBghIgfAR1MseBAAAAACgCubfgAAgkBwNEJAC4SOolz0IAAAAAEAVzL8BAUAgORogIAXCR1AvexAAAAAAgCqYfwMCgEByNEBACoSPoF72IAAAAAAAVTD/BgQAgeRogIAUCB9BvexBAAAAAACqYP4NCAACydEAASkQPoJ62YMAAAAAAFTB/BsQAASSowECUiB8BPWyBwEAAAAAqIL5NyAASGW+9rWvxapVq+peBmiAgCQIH0G97EEAAAAAAKpg/g0IAFKZPM+jKIr4h3/4h/jiF78Y99xzT91LIlEaICAFwkdQL3sQAAAAAIAqmH8DAoBUZtq0adHW1tYKAhZFEZMnT45Pf/rTceutt0ZXV1fdSyQRGiAgBcJHUC97EAAAAACAKph/AwKAVGrNmjXxne98J4455pgYPXp0tzDgTjvtFCeeeGIsWbIknn/++bqXygCmAQJSIHwE9bIHAQAAAACogvk3IABIbTo7O+NHP/pRzJw5M8aPHx95nrcCgSNGjIijjjoq/vM//zNWr15d91IZYDRAQAqEj6Be9iAAAAAAAFUw/wYEANlm3HXXXXHWWWfFHnvs0S0MOHjw4DjkkENizpw5sXLlyrqXyQCgAQJSIHwE9bIHAQAAAACogvk3IADINumBBx6Iiy66KA444IAoiqLbnwr++7//+5g9e3b86le/qnuZNJQGCEiB8BHUyx4EAAAAAKAK5t+AACDbvL/85S/x9a9/PaZNmxZtbW3dwoATJ06MT33qU3UvkYbRAAEpED6CetmDAAAAAABUwfwbEACkUdasWRPf+c534phjjonRo0e3woCwJTRAQAqEj6Be9iAAAAAAAFUw/wYEAGmszs7O+OEPfxgf+9jH6l4KDaMBAlIgfAT1sgcBAAAAAKiC+TcgAAgkRwMEpED4COplDwIAAAAAUAXzb0AAEEiOBghIgfAR1MseBAAAAACgCubfgAAgkBwNEJAC4SOolz0IAAAAAEAVzL8BAUAgORogIAXCR1AvexAAAAAAgCqYfwMCgEByNEBACoSPoF72IAAAAAAAVTD/BgQAgeRogIAUCB9BvexBAAAAAACqYP4NCAACydEAASkQPoJ62YMAAAAAAFTB/BsQAASSowECUiB8BPWyBwEAAAAAqIL5NyAACCRHAwSkQPgI6mUPAgAAAABQBfNvQAAQSI4GCEiB8BHUyx4EAAAAAKAK5t+AACDbhLvvvjtuu+22uO222+Lpp5/udm3ZsmVx0EEHxciRI+O1r31tnHnmmbFu3bqaVspAoAECUiB8BPWyBwEAAAAAqIL5NyAASO0effTRGDRoUBRFEUVRxI9//OPWtTvuuCPa2tqiKIrI8zzyPI+iKOKd73xnjSum6TRAQAqEj6Be9iAAAAAAAFUw/wYEAKndZZddFnmex+677x7t7e3x1FNPta7tt99+reDf0UcfHZ/85Cdj0qRJURRFLF68uMZV02QaICAFwkdQL3sQAAAAAIAqmH8DAoDU7ogjjohddtkl1qxZ0+313/zmN61v/PvCF77Qen316tUxfvz4OOKII6peKgOEBghIgfAR1MseBAAAAACgCubfgAAgtZswYUKcffbZPV6fPXt25HkeO+ywQzz//PPdrp155pkxfvz4qpbIAKMBAlIgfAT1sgcBAAAAAKiC+TcgAEjthgwZEgsWLOjx+j777BNFUcQpp5zS49r8+fOjra2tiuUxAGmAgBQIH0G97EEAAAAAAKpg/g0IAFK77bffPubMmdPttYceeqj1539vuummHj8zd+7cGDZsWFVLZIDRAAEpED6CetmDAAAAAABUwfwbEACkdnvttVccffTR3V4788wzI8/zGDt2bGzcuLHHz3zyk5+MSZMmVbVEBhgNEJAC4SOolz0IAAAAAEAVzL8BAUBqd/rpp8d2220Xl1xySdx3331x5ZVXxpAhQ6IoijjttNN63P/UU0/FDjvsEEceeWQNq2Ug0AABKRA+gnrZgwAAAAAAVMH8GxAApHaPPPJIjBo1KoqiaFWe5zFixIhYtWpV674HH3ww5s6dG5MnT46iKHr82WDYXBogIAXCR1AvexAAAAAAgCqYfwMCgGwTfvrTn8bEiRMjz/PI8zx23nnnuP7667vdc/7557euDx48OB577LGaVkvTaYCAFAgfQb3sQQAAAAAAqmD+DQgAss3o6uqK3/72t/HrX/861q9f3+P6ypUr49Zbb41bb7017r777hpWyEChAQJSIHwE9bIHAQAAAACogvk3IAAIJEcDBKRA+AjqZQ8CAAAAAFAF829AAJDa3XbbbdHR0bFZ9+61114xZcqUuPzyy7fyqhjINEBACoSPoF72IAAAAAAAVTD/BgQAqV1RFLFo0aLNunf//fePoiiiKIq45pprtvLKGKg0QEAKhI+gXvYgAAAAAABVMP8GBACpXZ7nmx0AjIh47LHHYv/994999913K66KgUwDBKRA+AjqZQ8CAAAAAFAF829AAJDabWkAMCLiyiuvjDFjxmylFTHQaYCAFAgfQb3sQQAAAAAAqmD+DQgAUrsyAcAzzzwzhg8fvpVWxECnAQJSIHwE9bIHAQAAAACogvk3IABIpZYsWRInnnhit8rzPA455JAer2+qPvShD8XBBx8c2223Xeyzzz51vx0aSgMEpED4COplDwIAAAAAUAXzb0AAkEpdcMEFked5FEXRqpf/9ytVnueR53lcffXVdb8dGkoDBKRA+AjqZQ8CAAAAAFAF829AAJBKXXbZZTFp0qRuled5jB07tsfrL6/JkyfHlClT4n3ve18sWbKk7rdCg2mAgBQIH0G97EEAAAAAAKpg/g0IAFK7PM9j0aJFdS+DhGiAgBQIH0G97EEAAAAAAKpg/g0IAFI7AUCqpgECUiB8BPWyBwEAAAAAqIL5NyAASO0efvjhWLduXd3LICEaICAFwkdQL3sQAAAAAIAqmH8DAoA00kMPPRTXXHNN3cugoTRAQAqEj6Be9iAAAAAAAFUw/wYEAGmkhQsXRlEUdS+DhtIAASkQPoJ62YMAAAAAAFTB/BsQAGSbs3bt2njsscdi1apVvdZll10mAEhpGiAgBcJHUC97EAAAAACAKph/AwKAbBMeffTROPXUU2PChAlRFMVmF5ShAQJSIHwE9drUHlx21x3RsbZDbUZt7NpY9z8hAAAAAEAjmH8DAoDU7qGHHoqdd945iqKIPM83uwQAKUsDBKRAABDqtak9qDa/OtZ21P1PCAAAAADQCObfgAAgtfvwhz8ceZ7HmDFj4oQTToiLLroo5s+fH1dffXWvNXPmTAFAStMAASkQAIR6CQAKAAIAAAAAVMH8GxAApHbjx4+PN73pTfHkk09u9s8sXLhQAJDSNEBACgQAoV4CgAKAAAAAAABVMP8GBACpXVtbW1x88cVb9DPLly+PCy64YCutiIFOAwSkQAAQ6iUAKAAIAAAAAFAF829AAJDaTZw4Mb75zW/WvQwSogECUiAACPV6/L4nIhve0a3u/9XvomNth3pZ3d9xvwAgAAAAAEBJ5t+AACC1O/XUU+O0007bop/p6OiI2267bSutiIFOAwSkQAAQ6tVx/5ORZdGtOu5/su5lbZM61nYIAAIAAAAAlGT+DQgAUrtHHnkkXv/618ftt9++2T+zcOHCKIpiK66KgUwDBKRAABDqJQC4+QQAAQAAAADKM/8GBACp3apVq+KHP/xhTJo0KT784Q/H9773vVi+fHmsXLkyVq1atcm67LLLBAApTQMEpEAAEOolALj5BAABAAAAAMoz/wYEAKldsJy89wAAIABJREFUnudRFEWpgjI0QEAKBAChXpsMAC5bEdHRoV5WHavu7xkAXPN43f+EAAAAAACNYP4NCABSuzzPS5UAIGVpgIAUCABCvTYZAMx2ih4vqugYnvUMAK66v+5/QgAAAACARjD/BgQAqV2e5/Gxj30srr766s2umTNnCgBSmgYISIEAINRLAFAAEAAAAACgCubfgAAgtcvzPBYtWrRFP7Nw4UIBQErTAAEpEACEegkACgACAAAAAFTB/BsQAKR2Bx10UPzkJz/Zop+58847Y/r06VtpRQx0GiAgBQKAUC8BQAFAAAAAAIAqmH8DAoBAcjRAQAoEAKFeHY9v7BkAvP/JiI4O9bLq+NUyAUAAAAAAgJLMvwEBQCA5GiAgBQKAUK+Ojp5fdtfRUfeqtk0dq+4XAAQAAAAAKMn8GxAAZJuyYsWK+PznPx/Tpk2LvffeO+68887WtdmzZ8eKFStqXB0DhQYISIEAINRLAHDzCQACAAAAAJRn/g0IALJN6OzsjFNPPTUGDRoURVG06uabb27ds91228WgQYPiX//1X2PDhg01rpam0wABKRAAhHptKgB4//21/7XdbbI2dV49vlIAEAAAAABgc5h/AwKAbBOOPfbYKIoi8jxv1csDgF/60pfiDW94QxRFEUcffXSNq6XpNEBACgQAoV6bCgCqXmp4h/MKAAAAAKAk829AAJDa/fjHP448z2OHHXaIiy++OO6777546KGHIs/zbgHAiIgNGzbERz7ykSiKIq677rqaVkzTaYCAFAgAQr0EAAUAAQAAAACqYP4NCABSu2OOOSZGjhwZDzzwQOu11atXbzIAGBHxwgsvxB577BHvfe97q1wmA4gGCEiBACDUSwBQABAAAAAAoArm34AAILWbOHFinHbaad1e6ysAGBExe/bsGD9+fBXLYwDSAAEpEACEegkACgACAAAAAFTB/BsQAKR2w4YNi2984xvdXnulAOA3vvGNaGtrq2J5DEAaICAFAoBQr40b/38IUL1yLbtlhfMKAAAAAKAk829AAJDajRo1KubNm9fttVcKAF544YWxww47VLE8BiANEJACAUCgKZxXAAAAAADlmX8DAoDUbu+9944jjjii22t9BQBfeOGFePOb3xz77bdfVUtkgNEAASkQqAGawnkFAAAAAFCe+TcgAEjtzj333CiKIi6//PLWa70FANetWxfHH398FEURX/ziF6teKgOEBghIgUAN0BTOKwAAAACA8sy/AQFAavfkk0/G6NGjoyiKmDp1asydOzd+8IMfRJ7ncdVVV8Vdd90V3/3ud+NTn/pU7LrrrlEURey4447x9NNP1710GkoDBKRAoAZoCucVAAAAAEB55t+AACDbhB//+MfR1tYWRVH0WXmex9ChQ+OWW26pe8k0mAYISIFADdAUzisAAAAAgPLMvwEBQLYZP//5z2PKlCmR53mv9Za3vCV+8Ytf1L1UGk4DBKRAoAZoCucVAAAAAEB55t+AACDbnJ/85Cdx1llnxfvf//5497vfHe9///vjrLPOiptuuqnupTFAaICAFAjUAE3hvAIAAAAAKM/8GxAABJKjAQJSIFADNIXzCgAAAACgPPNvQACQ2h122GG+3Y9KaYCAFAjUAE3hvAIAAAAAKM/8GxAApHZ5nsfVV19d9zJIiAYISIFADdAUzisAAAAAgPLMvwEBQGqX53kMHjw4jjrqqFi6dGls3Lix7iUxwGmAgBQI1ABN4bwCAAAAACjP/BsQAKR2eZ7HYYcdFrvuumvkeR7jxo2Ls88+O1asWFH30higNEBACgRqgKZwXgEAAAAAlGf+DQgAUrs8z2PRokXx4osvxrXXXhtHHnlkbLfddlEURRx88MFxzTXXxHPPPVf3MhlANEBACgRqgKZwXgEAAAAAlGf+DQgAUrvp06fHXXfd1e21v/zlL/GVr3wldtttt8jzPEaNGhWnnHJKj/ugDA0QkAKBGqApnFcAAAAAAOWZfwMCgGzzbrvttjjhhBNixIgRURRFTJkyJebMmRNPPvlk3UujoTRAQAoEaoCmcF4BAAAAAJRn/g0IANIYjz/+eBxyyCGR53kURRFDhw7d6r+zq6srLr/88hgxYkRkWRb/+7//u0U/v3z58pgxY0ZMnjw52traYty4cXHkkUfG9ddfv0XPueGGG+LII4+McePGRVtbW0yaNClmzJgR99xzz2Y/o7OzM+bNmxdTp06N17zmNTFixIiYMmVKnHfeedHR0bHZz+no6IjzzjsvpkyZEiNGjIjXvOY1MXXq1Jg3b150dnZu9nP667MpQwMEpECgBmgK5xUAAAAAQHnm34AAINu8X/ziF3HqqafGmDFjoiiKKIqiFQLcmv74xz/GIYcc0vof5ZYGANvb22PIkCExePDgmDFjRsyfPz/OOeec2HHHHSPLspgxY0Zs3Lixz2ds3LgxZsyYEVmWxY477hjnnntuzJ8/P2bMmBGDBw+OIUOGRHt7+yuupaOjI/bff//Isiz23HPPuPjii2Pu3Lkxbdq0yLIsdt11183688p33XVXjBs3LrIsi2nTpsXcuXPj4osvjj333DOyLIv9999/s8KE/fHZvBoaICAFAjVAUzivAAAAAADKM/8GBACp3WGHHRY33XRTt9f++te/xuWXXx577713t9Bfnufx2te+Ns4777z44x//uFXW83+/9W/UqFFxwAEHbHEA8Prrr2+t+brrrut27Q9/+EOMHTs2siyLz372s30+Z9asWZFlWYwdO7bH+12yZElkWRZFUcQNN9zQ6zM6OzvjwAMPjCzL4qCDDornnnuu2/VPf/rTrd+xatWqXp/z8MMPt9Z9xhlndLv23HPPtX7HgQce2Oc3AfbXZ/NqaICAFAjUAE3hvAIAAAAAKM/8GxAApHZ5nseiRYsiIuLGG2+MY445JoYOHdot9Dd48OA46qij4oYbbtiq3wwXETF79uzWN9z96U9/av335gYA169fH6973esiy7I45phjNnnPlVde2Qrv3XvvvZu857e//W0URRFZlsWVV165yXuOOeaYyLIsXv/618f69es3ec+8efMiy7LI8zzuv//+Ta739a9/fWRZFh/84Ad7fV8f+MAH+vxd9913X+R5HlmWxX/8x39s8hn99dm8WhogIAUCNUBTOK8AAAAAAMoz/wYEAKldnucxbdq0mDRpUo9v+9t9993j4osvjscff7yy9cyePTuuuuqqbv+9JQHA9vb21v0v/2bDlzz77LMxbNiwyLIsPvShD23ynuOPPz6yLIthw4bFmjVrNnnPTTfd1Ppd/3fNL+nq6ooJEya0vv2vN+eff34rJPj73/++x/UVK1a0wn3nn39+r8856KCDIsuyeN3rXhddXV09rvfXZ/NqaYCAFAjUAE3hvAIAAAAAKM/8GxAApHZ5nncL/Y0YMSI+8pGPxO23317Lel4eXNvSAOC73/3uyLIshgwZEhs2bOj1vkMPPTSyLItRo0b1uG/9+vUxcuTIyLIsDjnkkF6fsWHDhhgyZEjrGwtf7o477mitffbs2b0+59Zbb23d95WvfKXH9S9/+cub9RlccMEFrfvuvPPOHtf747PpDxogIAUCNUBTOK8AAAAAAMoz/wYEAKndS8G//fbbL+bPn9/rt93VZUsCgC+++GK0tbVFlmXx1re+tc97zzjjjNZz77jjjm7Xli1b1rp2+umn9/mcffbZJ7Isi6FDh8aLL77Y7dqFF17Yes6SJUt6fcaaNWta97373e/ucf1d73pX6/ozzzzT63OWLl3auu/LX/5yt2v99dn0Bw0QkAKBGqApnFcAAAAAAOWZfwMCgNQuz/O44oor6l5Gr7YkAPjAAw+07n3Pe97T571z5sxp3dve3t7t2te//vXWta9+9at9Pue9731v696X//neY489tnXtl7/8ZZ/PGT16dGRZFuPHj+9xbdddd40sy2LkyJF9PuPXv/516/cdf/zx3a7112fTHzRAQAoEaoCmcF4BAAAAAJRn/g0IAFK7SZMmxXXXXVf3Mnq1JQHAH/3oR617TzrppD7vXbx4cevec889t9u1s88+u3Vt4cKFfT7nlFNOad174403drt2wAEHtK49+uijfT5nt912a93b2dnZen39+vWt19/4xjf2+Yw///nPrXvf/va3d7vWX5/N5njkkUf6rLvvvlsDBAx4AjVAUzivAAAAAADKEwAEBADhFWxJAPB73/te695PfOITfd577bXXtu497bTTul37+Mc/3rr2X//1X30+51Of+lTr3v/+7//udm3KlCmta6tXr+7zOXvvvXfr3qeeeqr1+pNPPtl6fa+99urzGU8//XTr3re85S3drvXXZ7M5XvrZzal77703nn76aaWUGnD185/e3SNQ8/Of3l37upRS6uXlvFJKKaWUUkoppZRSSqnyde+99woAQuIEAOEVbEkA8Fvf+lbr3jPOOKPPe3/wgx+07p0xY0a3ax/96Edb15YuXdrnc2bNmtW699vf/na3a294wxta19asWdPnc/bbb79NNgV/+tOfWq/vs88+fT5j3bp1rXv/7u/+rtu1/vpsNseWBACvuuqqWLJkiVJKDbia/7X2HoGa+V9rr31dSin18nJeKaWUUkoppZRSSimlVPm66qqrBAAhcQKAVGby5Mnd6uKLL96inz/yyCOjKIpWDRo0aCuttDvfANi8bwDckj8B7BsAlVIDtXyjllKqKeW8UkoppZRSSimllFJKqfLlGwABAUAqk+d57LnnnnHooYfGoYceGgsWLNiin7/sssti+vTpMX369Nhvv/2iKIqttNLutiQA+KMf/ah170knndTnvYsXL27de+6553a7dvbZZ7euLVy4sM/nnHLKKa17b7zxxm7XDjjggNa1Rx99tM/n7Lbbbq17Ozs7W6+vX7++9fob3/jGPp/x5z//uXXv29/+9m7X+uuz6Q+PPPKIBggY8O7/1e96BGru/9Xv6l4WQA/OKwAAAACA8sy/AQFAKpPneSxatKjH66tWreq1enPppZdukwHABx54oHXve97znj7vnTNnTuve+fPnd7v29a9/vXXtq1/9ap/Pee9739u6d8WKFd2uHXvssa1rv/zlL/t8zujRoyPLshg3blyPa7vuumtkWRYjR47s8xm//vWvW7/vuOOO63atvz6b/qABAlIgUAM0hfMKAAAAAKA8829AAJDK9BYAzPO825/2/b/Vm201APjiiy9GW1tbZFkWb33rW/u89zOf+UzrucuWLet27fbbb29dO/300/t8ztve9rbIsiza2trixRdf7HbtS1/6Uus5S5Ys6fUZa9asad33rne9q8f1d77zna3rzzzzTK/Puf7661v3XXjhhd2u9ddn0x80QEAKBGqApnBeAQAAAACUZ/4NCABSmd4CgLNnz44LLrggZs2aFXmexwknnBAXXHBBXHDBBb0+a1sNAEZEvOtd72oF8jZs2NDrfYcddljrW/XWr1/f7dr69etj++23jyzL4tBDD+31GZ2dna1Q3T/90z/1uL5s2bLW2vv6PG+77bbWff/2b//W4/qFF17Yun7rrbf2+pwvfOELrft+9rOf9bjeH59Nf9AAASkQqAGawnkFAAAAAFCe+TcgAEhlegsAvmT16tWR53ncfPPNr/isbTkAOH/+/Nb9vb2XZ599NoYPHx5ZlsXxxx+/yXuOO+64yLIshg0bFmvXrt3kPTfffHPrd7W3t/e43tXVFa997Wsjy7I4+OCDe13z5z73uciyLPI87/FnhCO6//nez33uc70+5+CDD44sy2LChAnR1dXV43p/fTavlgYISIFADdAUzisAAAAAgPLMvwEBQCqTSgDw+eefjwkTJkSWZXHcccdt8p6XgnBFUcTy5cs3ec8999wTRVFElmUxf/78Td7zUkjwda97XTz//PObvOeKK65ohfseeOCBHtc3bNgQEydOjCzL4l/+5V96fV9HH310ZFkWkyZN2uS39/3ud7+LPM8jy7KYO3fuJp/RX5/Nq6UBAlIgUAM0hfMKAAAAAKA8829AAJDKpBIAjIi47rrrIs/zyPM8rr/++m7X/vjHP8bOO+8cWZbFZz7zmT6f85nPfCayLIudd945HnrooW7Xli5d2vod1113Xa/P6OzsjKlTp0aWZfGOd7yjR1DwzDPPjCzLYscdd4yVK1f2+pyVK1fGjjvuGFmWxaxZs7pde+6551rf/jd16tTo7Ozs9Tn99dm8GhogIAUCNUBTOK8AAAAAAMoz/wYEAKlMkwKA3/72t1v1vve9r/U/y3PPPbf1+o033tjnM6688soYMmRIDB48OE4++eRob2+P8847rxWimz59emzcuLHPZ2zcuDGmT5/eCuidd9550d7eHieffHIMHjw4Bg8eHFdeeeUrvp8nnngi9t1338iyLN785jfHJZdcEvPmzYvDDz88siyLXXbZJe64445XfM7Pfvaz2GWXXSLLsjj88MNj3rx5cckll8Sb3/zmyLIs9t1333jiiSde8Tn98dm8GhogIAUCNUBTOK8AAAAAAMoz/wYEAKlMkwKAL/3Psa865JBDXvE599xzT5x44okxceLEaGtri1122SWOOOKIWLp06Rat5/rrr48jjjgidtlll2hra4uJEyfGiSeeGL/5zW82+xmdnZ0xd+7cOOCAA2LMmDExfPjw2HPPPeOcc87ZrNDeS5544ok455xzYs8994zhw4fHmDFj4oADDogrrriiz2/+e7n++mzK0AABKRCoAZrCeQUAAAAAUJ75NyAASGXyPI/Fixf3ev2lAOAtt9zyis+q8k8AM/BogIAUCNQATeG8AgAAAAAoz/wbEACkMnmex8477xyTJ0/eZE2cODHyPI9x48b1es9LteOOOwoAUpoGCEiBQA3QFM4rAAAAAIDyzL8BAUAqk+d5FEUReZ73Wq90/eX3QhkaICAFAjVAUzivAAAAAADKM/8GBACpTJ7nMXbs2Jg0adKrrte85jUCgJSmAQJSIFADNIXzCgAAAACgPPNvQACQyuR5HosWLeqXZ11yySUCgJSmAQJSIFADNIXzCgAAAACgPPNvQACQyvRnAPDSSy8VAKQ0DRCQAoEaoCmcVwAAAAAA5Zl/AwKAVObSSy+NBx54oF+e9Ytf/CIuvfTSfnkW6dEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAACUZ/4NCAACydEAASkQqAGawnkFAAAAAFCe+TcgAAgkRwMEpECgBmgK5xUAAAAAQHnm34AAIJAcDRCQAoEaoCmcVwAAAAAA5Zl/AwKAQHI0QEAKBGqApnBeAQAAAAD/j717DdmzLvwAfj0ed3BWpibK1HDT3oh2MKcEwwMaViiaU0RRSevVmGHlIUlQWYWFU5lOmWUeCgJRtDwREbr85zxi+uhWnlBxu6fMw1R68Ty//4vwoud6Dru7dT1e1/fzgd+b3XfXnhj8ri98vzwyOP03YAAIxBGAgAQGNUBbuK8AAAAAAAan/wYMAIE4AhCQwKAGaAv3FQAAAADA4PTfgAEgEEcAAhIY1ABt4b4CAAAAABic/hswAATiCEBAAoMaoC3cVwAAAAAAg9N/AwaAQBwBCEhgUAO0hfsKAAAAAGBw+m/AABCIIwABCQxqgLZwXwEAAAAADE7/DRgAAnEEICCBQQ3QFu4rAAAAAIDB6b8BA0AgjgAEJDCoAdrCfQUAAAAAMDj9N2AACMQRgIAEBjVAW7ivAAAAAAAGp/8GDACBOAIQkMCgBmgL9xUAAAAAwOD034ABIBBHAAISGNQAbeG+AgAAAAAYnP4bMAAE4ghAQAKDGqAt3FcAAAAAAIPTfwMGgEAcAQhIYFADtIX7CgAAAABgcPpvwAAQiCMAAQkMaoC2cF8BAAAAAAxO/w0YAAJxBCAggUEN0BbuKwAAAACAwem/AQNAII4ABCQwqAHawn0FAAAAADA4/TdgAAjEEYCABAY1QFu4rwAAAAAABqf/BgwAgTgCEJDAoAZoC/cVAAAAAMDg9N+AASAQRwACEhjUAG3hvgIAAAAAGJz+GzAABOIIQEACgxqgLdxXAAAAAACD038DBoBAHAEISGBQA7SF+woAAAAAYHD6b8AAEIgjAAEJDGqAtnBfAQAAAAAMTv8NGAACcQQgIIFBDdAW7isAAAAAgMHpvwEDQCCOAAQkMKgB2sJ9BQAAAAAwOP03YAAIxBGAgAQGNUBbuK8AAAAAAAan/wYMAIE4AhCQwKAGaAv3FQAAAADA4PTfgAEgEEcAAhIY1ABt4b4CAAAAABic/hswAATiCEBAAoMaoC3cVwAAAAAAg9N/AwaAQBwBCEhgUAO0hfsKAAAAAGBw+m/AABCIIwABCQxqgLZwXwEAAAAADE7/DRgAAnEEICCBQQ3QFu4rAAAAAIDB6b8BA0AgjgAEJDCoAdrCfQUAAAAAMDj9N2AACMQRgIAEBjVAW7ivAAAAAAAGp/8GDACBOAIQkMCgBmgL9xUAAAAAwOD034ABIBBHAAISGNQAbeG+AgAAAAAYnP4bMAAE4ghAQAKDGqAt3FcAAAAAAIPTfwMGgEAcAQhIYFADtIX7CgAAAABgcPpvwAAQiCMAAQkMaoC2cF8BAAAAAAxO/w0YAAJxBCAggUEN0BbuKwAAAACAwem/AQNAII4ABCQwqAHawn0FAAAAADA4/TdgAAjEEYCABAY1QFu4rwAAAAAABqf/BgwAgTgCEJDAoAZoC/cVAAAAAMDg9N+AASAQRwACEhjUAG3hvgIAAAAAGJz+GzAABOIIQEACgxqgLdxXAAAAAACD038DBoBAHAEISGBQA7SF+woAAAAAYHD6b8AAEIgjAAEJDGqAtnBfAQAAAAAMTv8NGAACcQQgIIFBDdAW7isAAAAAgMHpvwEDQCCOAAQkMKgB2sJ9BQAAAAAwOP03YAAIxBGAgAQGNUBbuK8AAAAAAAan/wYMAIE4AhCQwKAGaAv3FQAAAADA4PTfgAEgEEcAAhIY1ABt4b4CAAAAABic/hswAAQs+uf5AAAgAElEQVTiCEBAAoMaoC0muq9W/e2vpbep5/RxRkZHpvufEAAAAACYRvpvwAAQiCMAAQkMAIG2mOi+cvo/vU296f4nBAAAAACmkf4bMAAE4ghAQAIDQKAtDAANAAEAAACAwem/AQNAII4ABCQwAATawgDQABAAAAAAGJz+GzAABOIIQEACA0CgLQwADQABAAAAgMHpvwEDQCCOAAQkMAAE2mLdM+tLNas35gw//mzpbeo5jTPcGzYABAAAAADG0H8DBoBAHAEISGAACLRFb3hDqaoy5vSGN0z3j/WJ1NvUMwAEAAAAAMbQfwMGgEAcAQhIYAAItMWEA8BVa0rp9ZzG6b08wW8AfGfddP8TAgAAAADTSP8NGAACcQQgIIEBINAWEw4Aq53LuD90Sm9WNX4A+PLwdP8TAgAAAADTSP8NGAACcQQgIIEBINAWBoAGgAAAAADA4PTfgAEgEEcAAhIYAAJtYQBoAAgAAAAADE7/DRgAAnEEICCBASDQFgaABoAAAAAAwOD034ABIBBHAAISGAACbdFbNzJ+ADi8oZRez2mc3uOrDAABAAAAgDH034ABIBBHAAISGAACbdHrjf9ld73edP9Un0y9l4cNAAEAAACAMfTfgAEgEEcAAhIYAAJtYQDYPwNAAAAAAKBJ/w0YAAJxBCAggQEg0BYTDQCHh6f9v7b7iTwT3e3rXjQABAAAAIBk+m/AABCIIwABCQwAgbaYaADoTHJm9dztAAAAAMAY+m/AABCIIwABCQwAgbYwADQABAAAAAAGp/8GDACBOAIQkMAAEGgLA0ADQAAAAABgcPpvwAAQiCMAAQkMAIG2MAA0AAQAAAAABqf/BgwAgTgCEJDAABBoi5GRf48Anc2fVX9e424HAAAAAMbQfwMGgEAcAQhIYAAI0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3eNuBwAAAACa9N+AASAQRwACEhiJAHSPux0AAAAAaNJ/AwaAQBwBCEhgJALQPe52AAAAAKBJ/w0YAAJxBCAggZEIQPe42wEAAACAJv03YAAIxBGAgARGIgDd424HAAAAAJr034ABIBBHAAISGIkAdI+7HQAAAABo0n8DBoBAHAEISGAkAtA97nYAAAAAoEn/DRgAAnEEICCBkQhA97jbAQAAAIAm/TdgAAjEEYCABEYiAN3jbgcAAAAAmvTfgAEgEEcAAhIYiQB0j7sdAAAAAGjSfwMGgEAcAQhIYCQC0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3eNuBwAAAACa9N+AASAQRwACEhiJAHSPux0AAAAAaNJ/AwaAQBwBCEhgJALQPe52AAAAAKBJ/w0YAAJxBCAggZEIQPe42wEAAACAJv03YAAIxBGAgARGIgDd424HAAAAAJr034ABIBBHAAISGIkAdI+7HQAAAABo0n8DBoBAHAEISGAkAtA97nYAAAAAoEn/DRgAAnEEICCBkQhA97jbAQAAAIAm/TdgAAjEEYCABEYiAN3jbgcAAAAAmvTfgAEgEEcAAhIYiQB0j7sdAAAAAGjSfwMGgEAcAQhIYCQC0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3eNuBwAAAACa9N+AASAQRwACEhiJAHSPux0AAAAAaNJ/AwaAQBwBCEhgJALQPe52AAAAAKBJ/w0YAAJxBCAggZEIQPe42wEAAACAJv03YAAIxBGAgARGIgDd424HAAAAAJr034ABIBBHAAISGIkAdI+7HQAAAABo0n8DBoBAHAEISGAkAtA97nYAAAAAoEn/DRgAAnEEICCBkQhA97jbAQAAAIAm/TdgAAjEEYCABEYiAN3jbgcAAAAAmvTfgAEgEEcAAhIYiQB0j7sdAAAAAGjSfwMGgEAcAQhIYCQC0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3eNuBwAAAACa9N+AASAQRwACEhiJAHSPux0AAAAAaNJ/AwaAQBwBCEhgJALQPe52AAAAAKBJ/w0YAAJxBCAggZEIQPe42wEAAACAJv03YAAIxBGAgARGIgDd424HAAAAAJr034ABIBBHAAISGIkAdI+7HQAAAABo0n8DBoBAHAEISGAkAtA97nYAAAAAoEn/DRgAAnEEICCBkQhA97jbAQAAAIAm/TdgAAjEEYCABEYiAN3jbgcAAAAAmvTfgAEgEEcAAhIYiQB0j7sdAAAAAGjSfwMGgEAcAQhIYCQC0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3eNuBwAAAACa9N+AASAQRwACEhiJAHSPux0AAAAAaNJ/AwaAQBwBCEhgJALQPe52AAAAAKBJ/w0YAAJxBCAggZEIQPe42wEAAACAJv03YAAIxBGAgARGIgDd424HAAAAAJr034ABIBBHAAISGIkAdI+7HQAAAABo0n8DBoBAHAEISGAkAtA97nYAAAAAoEn/DRgAAnEEICCBkQhA97jbAQAAAIAm/TdgAAjEEYCABEYiAN3jbgcAAAAAmvTfgAEgEEcAAhIYiQB0j7sdAAAAAGjSfwMGgEAcAQhIYCQC0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3eNuBwAAAACa9N+AASAQRwACEhiJAHSPux0AAAAAaNJ/AwaAQBwBCEhgJALQPe52AAAAAKBJ/w0YAAJxBCAggZEIQPe42wEAAACAJv03YAAIxBGAgARGIgDd424HAAAAAJr034ABIBBHAAISGIkAdI+7HQAAAABo0n8DBoBAHAEISGAkAtA97nYAAAAAoEn/DRgAAnEEICCBkQhA97jbAQAAAIAm/TdgAAjEEYCABEYiAN3jbgcAAAAAmvTfgAEgEEcAAhIYiQB0j7sdAAAAAGjSfwMGgEAcAQhIYCQC0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3eNuBwAAAACa9N+AASAQRwACEhiJAHSPux0AAAAAaNJ/AwaAQBwBCEhgJALQPe52AAAAAKBJ/w0YAAJxBCAggZEIQPe42wEAAACAJv03YAAIxBGAgARGIgDd424HAAAAAJr034ABIBBHAAISGIkAdI+7HQAAAABo0n8DBoBAHAEISGAkAtA97nYAAAAAoEn/DRgAAnEEICCBkQhA97jbAQAAAIAm/TdgAAjEEYCABEYiAN3jbgcAAAAAmvTfgAEgEEcAAhIYiQB0j7sdAAAAAGjSfwMGgEAcAQhIYCQC0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3eNuBwAAAACa9N+AASAQRwACEhiJAHSPux0AAAAAaNJ/AwaAQBwBCEhgJALQPe52AAAAAKBJ/w0YAAJxBCAggZEIQPe42wEAAACAJv03YAAIxBGAgARGIgDd424HAAAAAJr034ABIBBHAAISGIkAdI+7HQAAAABo0n8DBoBAHAEISGAkAtA97nYAAAAAoEn/DRgAAnEEICCBkQhA97jbAQAAAIAm/TdgAAjEEYCABEYiAN3jbgcAAAAAmvTfgAEgEEcAAhIYiQB0j7sdAAAAAGjSfwMGgEAcAQhIYCQC0D3udgAAAACgSf8NGAACcQQgIIGRCED3uNsBAAAAgCb9N2AACMQRgIAERiIA3TPR3b7qb38tvU09p88zMjoy3f+MAAAAAPCx0n8DBoBAHAEISGAACNA9E93tzn93ept60/3PCAAAAAAfK/03YAAIxBGAgAQGgADdYwBoAAgAAAAATfpvwAAQiCMAAQkMAAG6xwDQABAAAAAAmvTfgAEgEEcAAhIYAAJ0jwGgASAAAAAANOm/AQNAII4ABCQwAATonnXPrC/VrN6YM/z4s6W3qedMcIZ7wwaAAAAAAHSe/hswAATiCEBAAgNAgO7pDW8oVVXGnN6qNaX0es4Ep/fyBAPAd9ZN9z8jAAAAAHys9N+AASAQRwACEhgAAnTPhAPAaucy7g+dUqqq9GZN8J8Afnl4uv8ZAQAAAOBjpf8GDACBOAIQkMAAEKB7DAANAAEAAACgSf8NGAACcQQgIIEBIED3GAAaAAIAAABAk/4bMAAE4ghAQAIDQIDuMQA0AAQAAACAJv03YAAIxBGAgAQGgADd01s3Mn4AOLyhlF7PmeD0Hl9lAAgAAABA5+m/AQNAII4ABCQwAATonl5v/C+6Gx6e9p3dJ/ZM9C5c96IBIAAAAADdov8GDACBOAIQkMAAEKB7JhoAOlOcWT3vQgAAAAA6T/8NGAACcQQgIIEBIED3GAAaAAIAAABAk/4bMAAE4ghAQAIDQIDuMQA0AAQAAACAJv03YAAIxBGAgAQGgADdYwBoAAgAAAAATfpvwAAQiCMAAQkMAAG6Z2Tk3yNAp7+z6s9rvAsBAAAA6Dz9N2AACMQRgIAEBoAApPMuBAAAACCB/hswAATiCEBAAqMHANJ5FwIAAACQQP8NGAACcQQgIIHRAwDpvAsBAAAASKD/BgwAgTgCEJDA6AGAdN6FAAAAACTQfwMGgEAcAQhIYPQAQDrvQgAAAAAS6L8BA0AgjgAEJDB6ACCddyEAAAAACfTfgAEgEEcAAhIYPQCQzrsQAAAAgAT6b8AAEIgjAAEJjB4ASOddCAAAAEAC/TdgAAjEEYCABEYPAKTzLgQAAAAggf4bMAAE4ghAQAKjBwDSeRcCAAAAkED/DRgAAnEEICCB0QMA6bwLAQAAAEig/wYMAIE4AhCQwOgBgHTehQAAAAAk0H8DBoBAHAEISGD0AEA670IAAAAAEui/AQNAII4ABCQwegAgnXchAAAAAAn034ABIBBHAAISGD0AkM67EAAAAIAE+m/AABCIIwABCYweAEjnXQgAAABAAv03YAAIxBGAgARGDwCk8y4EAAAAIIH+GzAABOIIQEACowcA0nkXAgAAAJBA/w0YAAJxBCAggdEDAOm8CwEAAABIoP8GDACBOAIQkMDoAYB03oUAAAAAJNB/AwaAQBwBCEhg9ABAOu9CAAAAABLovwEDQCCOAAQkMHoAIJ13IQAAAAAJ9N+AASAQRwACEhg9AJDOuxAAAACABPpvwAAQiCMAAQmMHgBI510IAAAAQAL9N2AACFvIwoUL65fsVGf27NmbfdaqVavKSSedVObOnVu23377Mnfu3HLSSSeVBx98sO+fZ3R0tNxyyy3l8MMPL7vuumuZOXNmmT9/flmyZEl54YUX+n7Opk2bys9+9rPypS99qey4445lxx13LF/84hfLT3/60/Luu+/2/ZwXX3yxLFmypMyfP7/MnDmz7LLLLuXwww8vN998cxkdHe37OYMQgIAERg8ApPMuBAAAACCB/hswAIQt5OMaAF588cVlaGiozJ49uyxZsqRcd911ZcmSJWX27NllaGio/OQnP9nsz/L++++XY445plRVVebOnVsuueSScu2115ZFixaVoaGhsuOOO5Y777xzs89Zu3Zt2XfffUtVVeXggw8uy5YtK8uWLSsHH3xwqaqqzJ8/v6xdu3azz7nzzjvLjjvuWIaGhsqiRYvKtddeWy655JIyd+7cUlVVOeaYY8r777+/2ecMSgACEhg9AJDOuxAAAACABPpvwAAQtpCFCxeW4447rjz77LNTnjVr1kz6jOXLl5eqqsqMGTPK6tWrx3z28MMPlxkzZpSqqso111wz5c+yaNGiUlVV2W+//cobb7wx5rOrrrqqVFVVZs6cWR577LFJn/HWW2+V+fPnl6qqyoknnlhGRkbqz0ZGRsq3v/3tUlVV2Xfffctbb7016XMeffTRMnPmzFJVVbn66qvHfLZhw4Z6YLho0aIp/z99FAIQkMDoAYB03oUAAAAAJNB/AwaAsIUsXLiwnH766QP/79evX1922GGHUlVVOe+88yb8znnnnVeqqio77LBD6fV6E37nj3/8Y/2yv+eeeyb8zoIFC+rf6jeZH/7wh/XftWHDhnGf93q9+uf90Y9+NOlzvvrVr5aqqsqCBQsm/Pyee+6pf96777570ud8FAIQkMDoAYB03oUAAAAAJNB/AwaAsIV81AHghRdeWL+k//GPf0z4nX/+85/1dy666KIJv3PooYfW/+nf0dHRCb+zcuXK+jl/+tOfxn3+9ttv17+179RTT530Zz711FPr3yb4zjvvjPv8/vvvr/+elStXTviM0dHRsueee5aqqsrXvva1Sf+uj0IAAhIYPQCQzrsQAAAAgAT6b8AAELaQjzoA/PA/hbvXXntN+b299967/s/7Nr366qtlaGioVFU15c/y0ksv1YHge9/73rjPb7311vrzX//615M+58Ybb6y/97vf/W7c52effXb9+Ysvvjjpc84444xSVVUZGhoqr7322qTfG5QABCQwegAgnXchAAAAAAn034ABIGwhzQHgv/71r/LWW29N+lv4/tOrr75av6CPO+64Kb97/PHH199tjuVuueWW+rNly5ZN+ZyddtqpVFVV5s+fP+6zs846q37Ok08+Oekznnrqqfp7Z5999rjP582bV6qqKp/+9Ken/Fmuuuqq+jm33nrrlN8dhAAEJDB6ACCddyEAAAAACfTfgAEgbCELFy4sxx57bLnsssvKvHnz6t/Et/XWW5f999+/XHjhhWX9+vUT/m/vvffe+gW9ePHiKf+eJUuW1N+9//77x3x2/vnn15/ddtttUz7ngAMOKFVVla222qp88MEHYz5bsGBB/Zw333xz0mds3Lix/t6hhx465rP333+/bLXVVqWqqrL//vtP+bPcfvvt9XMuvPDCKb87CAEISGD0AEA670IAAAAAEui/AQNA2EIWLlxYqqoqO+ywQznnnHPK73//+3LXXXeVyy+/vMyfP7/+TXh33333uP/tihUr6hf0ZZddNuXfs3Tp0vq7119//ZjPTj755PqzVatWTfmco446qv7u2rVrx3y22267laqqyjbbbLPZ/9/bbbddqaqq7L777mP+/Lnnnquff+SRR075jIceeqj+7imnnLLZv/O/JQABCYweAEjnXQgAAABAAv03YAAIW8jChQvL3nvvXV544YVxn33wwQflyCOPLFVVle233748/PDDYz6//PLL6xf0L37xiyn/niuuuKL+7i9/+csxn33jG9+oP3v00UenfM6xxx5bf/exxx4b89ns2bPrMePmfOpTnypVVZU5c+aM+fNHHnmkfv43v/nNKZ/xxBNP1N/91re+tdm/s+mVV16Z8qxevVoAAjrP6AGAdN6FAAAAACQwAAQMAGELef3118vbb7896eevvfZa2X777UtVVeWggw4a89kll1xSv6CvuuqqKf+e5cuX19+99NJLx3x2+OGH15899dRTUz7nxBNPrL/74IMPjvnsw/9070477TTlM0opZZdddqn/U8f/6YEHHqiff/zxx0/5jGeeeab+7hFHHLHZv7Ppw/9tP+fpp58uGzdudBzH6dx5+IHV40YPDz+wetp/LsdxHMf5Xx3vQsdxHMdxHMdxHMdxHCfhPP300waAEM4AEKbRf/7WvSeffLL+c78B8KP9BsD/ZgC4cuXKcscddziO43TuXHfl9eNGD9ddef20/1yO4ziO87863oWO4ziO4ziO4ziO4zhOwlm5cqUBIIQzAIRpdOmll9Yv4uXLl9d/vmLFivrPL7vssimfsXTp0vq7119//ZjPTj755PqzVatWTfmco446qv7u2rVrx3y22267laqqyjbbbLPZ/08f/lbD3XfffcyfP/fcc/XzjzzyyCmf8dBDD9XfPeWUUzb7dzb9N/8JYL8B0HGcrh6/9chxHMdJP96FjuM4juM4juM4juM4TsLxGwABA0CYRtddd139Ir7ooovqP7/33nvrP1+8ePGUz1iyZEn93fvuu2/MZ+eff3792W233Tblcw444IBSVVXZaqutygcffDDmswULFtTPefPNNyd9xsaNG+vvHXLIIWM+e//99+v/lPD+++8/5c9y++2318+54IILpvzuIF555RUBCOi84cefHTd6GH782en+sQDgf8a7EAAAAIAE+m/AABCm0bXXXlu/iC+++OL6z//zBX3cccdN+YwTTjih/u6rr7465rObb765/mzZsmVTPuezn/1sqaqqzJs3b9xn3/nOdyb8TxU3/f3vf6+/d9ZZZ437fJ999ilVVZXPfOYzU/4sV199df2cW265ZcrvDkIAAhIYPQCQzrsQAAAAgAT6b8AAELaAO++8s1x66aVldHR0yu9dfPHF9Yt4xYoVYz6bP39+qaqq7L333lM+4/Of/3ypqqrsu+++4z575ZVXytDQUKmqqpxxxhmTPuPll1+uf47vfve74z6/5ZZb6s9vvPHGSZ/zm9/8pv7eb3/723Gfn3XWWfXnL7300qTPOfPMM0tVVWVoaGjcqPHjIAABCYweAEjnXQgAAABAAv03YAAIW8Dpp59eqqoqr7/++pTfO/roo+sX8dNPPz3mswsuuKD+7Pnnn5/wf//888/X37nwwgsn/M4hhxxSqqoqe+2116SDxBtuuKF+zv333z/u87feeqvMmDGjVFVVTjvttEn//5x22mmlqqoyc+bM8vbbb4/7/L777qv/nhtuuGHCZ4yOjpa99tqrVFVVDj300En/ro9CAAISGD0AkM67EAAAAIAE+m/AABC2gA8HgL/61a8m/c7atWvL1ltvPenQ7fXXXy+zZ88uVVWVCy64YMJnfDgSnD17dlm/fv2E37nrrrvql/1999034Xc+HAkedNBBk/685557bqmqqsyZM6e88cYb4z5/4403ypw5c0pVVeUHP/jBhM8YHR0tX/nKV6Yc9/3nSPAPf/jDpD/PRyEAAQmMHgBI510IAAAAQAL9N2AACFvAhwPAz33uc2XNmjXjPn/zzTfLl7/85VJVVZk1a1Z54oknJnzO1VdfXf9GvUceeWTMZ4888kj9W/muvvrqKX+eE044oVRVVb7whS+MG+99+HfMmDGjrF69etJnbNy4scybN69UVVVOOumkMjIyUn82MjJSFi1aVKqqKvPmzSsbN26c9DmrV6+uf+7ly5eP+eyNN94o++23X6mqqpxwwglT/n/6KAQgIIHRAwDpvAsBAAAASKD/BgwAYQv4+c9/Xrbddtt6vHfmmWeWa665pqxcubKce+65ZZdddqkHgn/5y1+mfNZFF11UhoaGyuzZs8v3v//9cv3115dzzjmnzJ49uwwNDZUf//jHm/153nvvvfL1r3+9VFVV9txzz3LZZZeVFStWlJNOOqkMDQ2VOXPmlDvuuGOzz1mzZk09AlywYEG58sory5VXXlkWLFhQj/+ee+65zT7njjvuKHPmzClDQ0Pl5JNPLitWrCiXXnpp2XPPPUtVVeXoo48u77333mafMygBCEhg9ABAOu9CAAAAABLovwEDQNhCXn/99bJ8+fJy3HHHlX322afMmjWrbLvttmXXXXctRxxxRLniiivKO++809ezHnzwwbJo0aKyxx57lO22267sscceZdGiReWBBx7o++cZHR0tN910UznssMPKzjvvXGbMmFHmzZtXFi9eXJ5//vm+n/Puu++WpUuXlgMPPLDMmTOnzJkzpxx44IFl6dKl5d133+37OS+88EJZvHhxmTdvXpkxY0bZeeedy2GHHVZuuummMjo62vdzBiEAAQmMHgBI510IAAAAQAL9N2AACMQRgIAERg8ApPMuBAAAACCB/hswAATiCEBAAqMHANJ5FwIAAACQQP8NGAACcQQgIIHRAwDpvAsBAAAASKD/BgwAgTgCEJDA6AGAdN6FAAAAACTQfwMGgEAcAQhIYPQAQDrvQgAAAAAS6L8BA0AgjgAEJDB6ACCddyEAAAAACfTfgAEgEEcAAhIYPQCQzrsQAAAAgAT6b8AAEIgjAAEJjB4ASOddCAAAAEAC/TdgAAjEEYCABEYPAKTzLgQAAAAggf4bMAAE4ghAQAKjBwDSeRcCAAAAkED/DRgAAnEEICCB0QMA6bwLAQAAAEig/wYMAIE4AhCQwOgBgHTehQAAAAAk0H8DBoBAHAEISGD0AEA670IAAAAAEui/AQNAII4ABCQwegAgnXchAAAAAAn034ABIBBHAAISGD0AkM67EAAAAIAE+m/AABCIIwABCYweAEjnXQgAAABAAv03YAAIxBGAgARGDwCk8y4EAAAAIIH+GzAABOIIQEACowcA0nkXAgAAAJBA/w0YAAJxBCAggdEDAOm8CwEAAABIoP8GDACBOAIQkMDoAYB03oUAAAAAJNB/AwaAQBwBCEhg9ABAOu9CAAAAABLovwEDQCCOAAQkMHoAIJ13IQAAAAAJ9N+AASAQRwACEhg9AJDOuxAAAACABPpvwAAQiCMAAQmMHgBI510IAAAAQAL9N2AACMQRgIAERg8ApPMuBAAAACCB/hswAATiCEBAAqMHANJ5FwIAAACQQP8NGAACcQQgIIHRAwDpvAsBAAAASKD/BgwAgTgCEJDA6AGAdN6FAAAAACTQfwMGgEAcAQhIYPQAQLqJ3oWr/vbX0tvUc/o4I6Mj0/1PCAAAAEAf9N+AASAQRwACEhgAApBuoneh0//pbepN9z8hAAAAAH3QfwMGgEAcAQhIYAAIQDoDQANAAAAAgAT6b8AAEIgjAAEJDAABSGcAaAAIAAAAkED/DRgAAnEEICCBASAA6QwADQABAAAAEui/AQNAII4ABCQwAAQg3bpn1pdqVm/MGf7z/5Xey8NO4ww/t2r8APCdddP9TwgAAABAH/TfgAEgEEcAAhIYAAKQrje8oVRVGXN61c5l3B86pTdrgrAY8l4AACAASURBVN8A+PLwdP8TAgAAANAH/TdgAAjEEYCABAaAAKQzADQABAAAAEig/wYMAIE4AhCQwAAQgHQGgAaAAAAAAAn034ABIBBHAAISGAACkM4A0AAQAAAAIIH+GzAABOIIQEACA0AA0vXWjYzbug2verP0hjc4jTP85/8blxvWvWgACAAAANAG+m/AABCIIwABCQwAAUjX6037L9Zrz5nVkxsAAAAAWkr/DRgAAnEEICCBASAA6QwADQABAAAAEui/AQNAII4ABCQwAAQgnQGgASAAAABAAv03YAAIxBGAgAQGgACkMwA0AAQAAABIoP8GDACBOAIQkMAAEIB0IyP/HgE6mz+r/rxGbgAAAABoKf03YAAIxBGAgAQGgABAv+QGAAAAgPbSfwMGgEAcAQhIoMgHAPolNwAAAAC0l/4bMAAE4ghAQAJFPgDQL7kBAAAAoL3034ABIBBHAAISKPIBgH7JDQAAAADtpf8GDACBOAIQkECRDwD0S24AAAAAaC/9N2AACMQRgIAEinwAoF9yAwAAAEB76b8BA0AgjgAEJFDkAwD9khsAAAAA2kv/DRgAAnEEICCBIh8A6JfcAAAAANBe+m/AABCIIwABCRT5AEC/5AYAAACA9tJ/AwaAQBwBCEigyAcA+iU3AAAAALSX/hswAATiCEBAAkU+ANAvuQEAAACgvfTfgAEgEEcAAhIo8gGAfskNAAAAAO2l/wYMAIE4AhCQQJEPAPRLbgAAAABoL/03YAAIxBGAgASKfACgX3IDAAAAQHvpvwEDQCCOAAQkUOQDAP2SGwAAAADaS/8NGAACcQQgIIEiHwDol9wAAAAA0F76b8AAEIgjAAEJFPkAQL/kBgAAAID20n8DBoBAHAEISKDIBwD6JTcAAAAAtJf+GzAABOIIQEACRT4A0C+5AQAAAKC99N+AASAQRwACEijyAYB+yQ0AAAAA7aX/BgwAgTgCEJBAkQ8A9EtuAAAAAGgv/TdgAAjEEYCABIp8AKBfcgMAAABAe+m/AQNAII4ABCRQ5AMA/ZIbAAAAANpL/w0YAAJxBCAggSIfAOiX3AAAAADQXvpvwAAQiCMAAQkU+QBAv+QGAAAAgPbSfwMGgEAcAQhIoMgHAPolNwAAAAC0l/4bMAAE4ghAQAJFPgDQL7kBAAAAoL3034ABIBBHAAISKPIBgH7JDQAAAADtpf8GDACBOAIQkECRDwD0S24AAAAAaC/9N2AACMQRgIAEinwAoF9yAwAAAEB76b8BA0AgjgAEJFDkAwD9khsAAAAA2kv/DRgAAnEEICCBIh8A6JfcAAAAANBe+m/AABCIIwABCRT5AEC/5AYAAACA9tJ/AwaAQBwBCEigyAcA+iU3AAAAALSX/hswAATiCEBAAkU+ANAvuQEAAACgvfTfgAEgEEcAAhIo8gGAfskNAAAAAO2l/wYMAIE4AhCQQJEPAPRLbgAAAABoL/03YAAIxBGAgASKfACgX3IDAAAAQHvpvwEDQCCOAAQkUOQDAP2SGwAAAADaS/8NGAACcQQgIIEiHwDol9wAAAAA0F76b8AAEIgjAAEJFPkAQL/kBgAAAID20n8DBoBAHAEISKDIBwD6JTcAAAAAtJf+GzAABOIIQEACRT4A0C+5AQAAAKC99N+AASAQRwACEijyAYB+yQ0AAAAA7aX/BgwAgTgCEJBAkQ8A9EtuAAAAAGgv/TdgAAjEEYCABIp8AKBfcgMAAABAe+m/AQNAII4ABCRQ5AMA/ZIbAAAAANpL/w0YAAJxBCAggSIfAOiX3AAAAADQXvpvwAAQiCMAAQkU+QBAvybKDav+9tfS29Rz+jgjoyPT/U8IAAAABNN/AwaAQBwBCEhgAAgA9Gui3OD0f3qbetP9TwgAAAAE038DBoBAHAEISGAACAD0ywDQABAAAABoL/03YAAIxBGAgAQGgABAvwwADQABAACA9tJ/AwaAQBwBCEhgAAgA9MsA8CMOAN9ZN93/hAAAAEAw/TdgAAjEEYCABAaAAEC/1j2zvlSzemPO8KydSm9W5TTO8M4TDABfHp7uf0IAAAAgmP4bMAAE4ghAQAIDQACgX73hDaWqypjTq3Yu4/7QKb1ZBoAAAADAJ4v+GzAABOIIQEACA0AAoF8GgAaAAAAAQHvpvwEDQCCOAAQkMAAEAPo10QBwuPpC6VU7O40zPGuncRlr3YsGgAAAAMD00X8DBoBAHAEISGAACAD0q7duZLp/sV57zqyejAUAAAB8oui/AQNAII4ABCQwAAQA+tXrfQKGdW05BoAAAADAJ4z+GzAABOIIQEACA0AAoF8GgAaAAAAAQHvpvwEDQCCOAAQkMAAEAPplAGgACAAAALSX/hv+n717j5K7Lu8H/llCyI0EyEUCGIglggh4AYSESKXIUVoscpGrp02rPfV4JUAjlwQiGDQQLCKgoJH0nNhCkaICBYpKPBohBpVay2KMcZVI2EwoiZiEXJh9fn/wy0Cyl8xmZmf2u5/X65znDzOfme93dpaPz3yf984gAAhkRwME5EAAEACoVrn8SghQ7bwWP7pMjwUAAAD0K+bfgAAgkB0NEJADAUAAgPrTYwEAAAD9jfk3IAAIZEcDBOTAcBoAoP70WAAAAEB/Y/4NCAAC2dEAATkwnAYAqD89FgAAANDfmH8DAoBAdjRAQA4MpwEA6k+PBQAAAPQ35t+AACCQHQ0QkAPDaQCA+tNjAQAAAP2N+TcgAAhkRwME5MBwGgCg/vRYAAAAQH9j/g0IAALZ0QABOTCcBgCoPz0WAAAA0N+YfwMCgEB2NEBADgynAQDqT48FAAAA9Dfm34AAIJAdDRCQA8NpAID602MBAAAA/Y35NyAACGRHAwTkwHAaAKD+9FgAAABAf2P+DQgAAtnRAAE5MJwGAKg/PRYAAADQ35h/AwKAQHY0QEAODKcBAOpPjwUAAAD0N+bfgAAgkB0NEJADw2kAgPrTYwEAAAD9jfk3IAAIZEcDBOTAcBoAoP70WAAAAEB/Y/4NCAAC2dEAATkwnAYAqD89FgAAANDfmH8DAoBAdjRAQA4MpwEA6k+PBQAAAPQ35t+AACCQHQ0QkAPDaQCA+tNjAQAAAP2N+TcgAAhkRwME5MBwGgCg/vRYAAAAQH9j/g0IAALZ0QABOTCcBgCoPz0WAAAA0N+YfwMCgEB2NEBADgynAQDqT48FAAAA9Dfm34AAIJAdDRCQA8NpAID602MBAAAA/Y35NyAACGRHAwTkwHAaAKD+9FgAAABAf2P+DQgAAtnRAAE5MJwGAKg/PRYAAADQ35h/AwKAQHY0QEAODKcBAOpPjwUAAAD0N+bfgAAgkB0NEJADw2kAgPrTYwEAAAD9jfk3IAAIZEcDBOTAcBoAoP70WAAAAEB/Y/4NCAAC2dEAATkwnAYAqD89FgAAANDfmH8DAoBAdjRAQA4MpwEA6k+PBQAAAPQ35t+AACCQHQ0QkAPDaQCA+tNjAQAAAP2N+TcgAAhkRwME5MBwGgCg/vRYAAAAQH9j/g0IAALZ0QABOTCcBgCoPz0WAAAA0N+YfwMCgEB2NEBADgynAQDqT48FAAAA9Dfm34AAIJAdDRCQA8NpAID602MBAAAA/Y35NyAACGRHAwTkwHAaAKD+9FgAAABAf2P+DQgAAtnRAAE5MJwGAKg/PRYAAADQ35h/AwKAQHY0QEAODKcBAOpPjwUAAAD0N+bfgAAgkB0NEJADw2kAgPrTYwEAAAD9jfk3IAAIZEcDBOTAcBoAoP666rEWL/lxlNaXVBVV7ig3+yUEAACAAcf8GxAABLKjAQJyIAAIAFB/XfVYqvoqrS81+yUEAACAAcf8GxAABLKjAQJyIAAIAFB/AoACgAAAANDfmH8DAoBAdjRAQA4EAAEA6k8AsMYA4IvtzX4JAQAAYMAx/wYEAIHsaICAHAgAAgDUnwBgjQHA37c2+yUEAACAAcf8GxAABLKjAQJyIAAIAFB/7U+tjjS8tF21Dh8dpeFJ7VCtYwUAAQAAoBHMvwEBQCA7GiAgBwKAAAD1V2pdEynFdlVKY6PTP6ooDRcABAAAgEYw/wYEAIHsaICAHAgAAgDUX1cBwNb0piilsWqHah0+ulM/2t4mAAgAAAD1Zv4NCAAC2dEAATkQAAQAqL9Se7nZH6xXnBpe0o8CAABAA5h/AwKAQHY0QEAOBAABAOqvVOoHwbqilAAgAAAANIT5NyAACGRHAwTkQAAQAKD+BAAFAAEAAKC/Mf8GBACB7GiAgBwIAAIA1J8AoAAgAAAA9Dfm34AAIJAdDRCQAwFAAID6K5dfCQGqndfiR5fpRwEAAKABzL8BAUAgOxogIAcCgAAANJN+FAAAABrD/BsQAASyowECcmDgCgBAM+lHAQAAoDHMvwEBQCA7GiAgBwauAAA0k34UAAAAGsP8GxAABLKjAQJyYOAKAEAz6UcBAACgMcy/AQFAIDsaICAHBq4AADSTfhQAAAAaw/wbEAAEsqMBAnJg4AoAQDPpRwEAAKAxzL8BAUAgOxogIAcGrgAANJN+FAAAABrD/BsQAASyowECcmDgCgBAM+lHAQAAoDHMvwEBQCA7GiAgBwauAAA0k34UAAAAGsP8GxAABLKjAQJyYOAKAEAz6UcBAACgMcy/AQFAIDsaICAHBq4AADSTfhQAAAAaw/wbEAAEsqMBAnJg4AoAQDPpRwEAAKAxzL8BAUAgOxogIAcGrgAANJN+FAAAABrD/BsQAASyowECcmDgCgBAM+lHAQAAoDHMvwEBQCA7GiAgBwauAAA0k34UAAAAGsP8GxAABLKjAQJyYOAKAEAz6UcBAACgMcy/AQFAIDsaICAHBq4AADSTfhQAAAAaw/wbEAAEsqMBAnJg4AoAQDPpRwEAAKAxzL8BAUAgOxogIAcGrgAANJN+FAAAABrD/BsQAASyowECcmDgCgBAM+lHAQAAoDHMvwEBQCA7GiAgBwauAAA0k34UAAAAGsP8GxAABLKjAQJyYOAKAEAz6UcBAACgMcy/AQFAIDsaICAHBq4AADRTV/3o4iU/jtL6kqqiyh3lZr+EAAAAFIT5NyAACGRHAwTkQAAQAIBm6qofVdVXaX2p2S8hAAAABWH+DQgAAtnRAAE5EAAEAKCZBAAFAAEAAGgM829AABDIjgYIyIEAIAAAzSQAWGMA8MX2Zr+EAAAAFIT5NyAACGRHAwTkQAAQAIBmEgCsMQD4+9Zmv4QAAAAUhPk3IAAIZEcDBORAABAAgGZqf2p1pOGl7ap1+OgoDU9qh2odKwAIAADArjP/BgQAgexogIAcCAACANBMpdY1kVJsV63pTVFKY9UO1Tp8dKfevb1NABAAAIDqmH8DAoBAdjRAQA4EAAEAaKauAoCqmxpe0rsDAACwy8y/AQFAIDsaICAHAoAAADRTqb3c/GBdUUoAEAAAgBqYfwMCgEB2NEBADgQAAQBoplKpHwTrilICgAAAANTA/BsQAASyowECciAACABAMwkACgACAADQGObfgAAgkB0NEJADAUAAAJqpXH4lBKh2XosfXaZ3BwAAYJeZfwMCgEB2NEBADgQAAQCgGPTuAAAA1ML8GxAABLKjAQJyYIgIAADFoHcHAACgFubfgAAgkB0NEJADQ0QAACgGvTsAAAC1MP8GBACB7GiAgBwYIgIAQDHo3QEAAKiF+TcgAAhkRwME5MAQEQAAikHvDgAAQC3MvwEBQCA7GiAgB4aIAABQDHp3AAAAamH+DQgAAtnRAAE5MEQEAIBi0LsDAABQC/NvQAAQyI4GCMiBISIAABSD3h0AAIBamH8DAoBAdjRAQA4MEQEAoBj07gAAANTC/BsQAASyowECcmCICAAAxaB3BwAAoBbm34AAIJAdDRCQA0NEAAAoBr07AAAAtTD/BgQAgexogIAcGCICAEAx6N0BAACohfk3IAAIZEcDBOTAEBEAAIpB7w4AAEAtzL8BAUAgOxogIAeGiAAAUAx6dwAAAGph/g0IAALZ0QABOTBEBACAYtC7AwAAUAvzb0AAEMiOBgjIgSEiAAAUg94dAACAWph/AwKAQHY0QEAODBEBAKAY9O4AAADUwvwbEAAEsqMBAnJgiAgAAMWgdwcAAKAW5t+AACCQHQ0QkANDRAAAKAa9OwAAALUw/wYEAIHsaICgmMod5SitL6kqa/GSHxsiAgBAAXQVAFy85MdNf09RlCp3lJv9EgIAADSV+TcgAAhkRwMExVR6sb3TUEz1rgQAAQCg/+kqAKiqr9L6UrNfQgAAgKYy/wYEAIHsaICgmEq/b236YKnoJQAIAAD9jwBgbVV6sb3ZLyEAAEBTmX8DAoBAdjRAUEztbQKAtZYAIAAA9D8CgLVV6fetzX4JAQAAmsr8GxAABLKjAYJiMhSrvQQAAQCg//Fep7YSAAQAAHJn/g0IAALZ0QBBMXU5FBvbGml4SVVZ7U+tbvbLCAAA7KD9qdWdevfFwydF6/DRaodaPHbvTu8L29sEAAEAgLyZfwMCgEB2NEBQTF0GAIeXIqVQVVapvdzslxEAANhBqXVN098rFKaGl3zSOQAAwA7Mv4HU7BMAaDQNEBSTAGDtVSo1+1UEAAB2VGovN/29QmFKABAAAKAT828gNfsEABpNAwTF1FUAcPGjy6JUClVllX0AIAAA9DulUj8I1hWlBAABAAA6Mf8GBACB7GiAoJi6CgAa9AAAAEUnACgACAAAUAvzb0AAEMiOBgiKSQAQAAAYiMrl5n9aeFFq8aPLvC8EAADYgfk3IAAIZEcDBMUkAAgAAJA37wsBAAA6M/8GBACB7GiAoJgMegAAAPLmfSEAAEBn5t+AACCQHQ0QFJNBDwAAQN68LwQAAOjM/BsQAASyowGCYjLoAQAAyJv3hQAAAJ2ZfwMCgEB2NEBQTAY9AAAAefO+EAAAoDPzb0AAEMiOBgiKyaAHAAAgb94XAgAAdGb+DQgAAtnRAEExGfQAAADkzftCAACAzsy/AQFAIDsaICgmgx4AAIC8eV8IAADQmfk3IAAIZEcDBMVk0AMAAJA37wsBAAA6M/8GBACB7GiAoJgMegAAAPLmfSEAAEBn5t+AACCQHQ0QFJNBDwAAQN66el+4eMmPo7S+pKqocke52S8hAADQB8y/AQFAIDsaICgmAUAAAIC8dfW+UFVfpfWlZr+EAABAHzD/BgQAgexogKCYBAABAADyJgBYYwDwxfZmv4QAAEAfMP8GBACB7GiAoJgEAAEAAPImAFhbtbe1NvslBAAA+oD5NyAACGRHAwTFJAAIAACQNwHA2sp7aAAAGJjMvwEBQCA7GiAoJgFAAACAvLU/tTrS8JKqpsa2eg8NAACZMP8GBACB7GiAoJgEAAEAAPJWal0TKYWqpoaXvIcGAIBMmH8DAoBAdjRAUEwCgAAAAHkrtZebH6wrSgkAAgBANsy/AQFAIDsaICgmAUAAAIC8lcsRpZKqphY/usx7aAAAyIT5NyAACGRHAwTFJAAIAAAA1fEeGgAA8mH+DQgAAtnRAEExGV4AAABAdbyHBgCAfJh/AwKAQHY0QFBMhhcAAABQHe+hAQAgH+bfgAAgkB0NEBST4QUAAABUx3toAADIh/k3IAAIZEcDBMVkeAEAAADV8R4aAADyYf4NCAAC2dEAQTEZXgAAAEB1vIcGAIB8mH8DAoBAdjRAUEyGFwAAAFAd76EBACAf5t+AACCQHQ0QFJPhBQAAAFTHe2gAAMiH+TcgAAhkRwMExWR4AQAAANXp6j304iU/jtL6kqqyyh3lZr+MAABQFfNvQAAQyI4GCIpJABAAAACq09V7aNW7Kr3Y3uyXEQAAqmL+DQgAAtnRAEExCQACAABAdQQAa6/2ttZmv4wAAFAV829AABDIjgYIikkAEAAAAKojAFh7ueYAAEBRmH8DAoBAdjRAUEwCgAAAAFAdAUABQAAA8mH+DQgAAtnRAEExCQACAABAddqfWh1peElVW2NbXXMAAKCwzL8BAUAgOxogKCYBQAAAAKhOqb0cKYWqtoaXXHMAAKCwzL8BAUAgOxogKCYBQAAAAKhOuRxRKqlqa/Gjy1xzAACgsMy/AQFAIDsaICgmAUAAAACgL7jmAABAkZl/AwKAQHY0QFBMLsYDAAAAfcE1BwAAisz8GxAABLKjAYJicjEeAAAA6AuuOQAAUGTm34AAIJAdDRAUk4vxAAAAQF9wzQEAgCIz/wYEAIHsaICgmFyMBwAAAPpCV9ccFi/5cZTWl1QVVe4oN/slBADImvk3IAAIZEcDBMUkAAgAAAD0ha6uOajqq/Rie7NfQgCArJl/AwKAQHY0QFBMAoAAAABAXxAArK3a21qb/RICAGTN/BsQAASyowGCYhIABAAAAPqC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\" width=\"1280\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.arange(0,1.0,0.04)\n",
    "var=\"ptl\"\n",
    "units=\"GeV/c\"\n",
    "\n",
    "query='index' #all\n",
    "wght=\"MFP_N\"\n",
    "sigma=1\n",
    "\n",
    "#title=\"%s, $\\\\nu_\\mu$ CC\"%(fd_title)\n",
    "xlabel=\"Final State Lepton $p_{T}$ (%s)\"%(units)\n",
    "ylabel=\"Events / %2.2f %s \"%(bins[-1]-bins[-2],units)\n",
    "\n",
    "df=gst_df.query(query)\n",
    "\n",
    "fig,ax = plt.subplots()\n",
    "\n",
    "plt.grid(axis='y', linewidth=0.5)\n",
    "plt.hist(df[var], weights=df[\"wght\"], color='red', label=\"CV\", bins=bins,**pltops_hist)\n",
    "plt.hist(df[var], weights=df[\"wght_%s_p%d\"%(wght,sigma)], \n",
    "         color='blue', \n",
    "         label=\"%s +%d$\\sigma$\"%(wght,sigma), bins=bins,**pltops_hist)\n",
    "plt.hist(df[var], weights=df[\"wght_%s_n%d\"%(wght,sigma)], \n",
    "         color='green', \n",
    "         label=\"%s -%d$\\sigma$\"%(wght,sigma), bins=bins,**pltops_hist)\n",
    "plt.legend()\n",
    "\n",
    "#plt.title(title)\n",
    "plt.xlabel(xlabel)\n",
    "plt.ylabel(ylabel)\n",
    "\n",
    "plt.show()\n",
    "#plt.savefig(\"/Users/wketchum/Downloads/numucc_e_%s.png\"%fd_leg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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",
       "    var resizeObserver = new 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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\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",
       "\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",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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width=\"1280\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.arange(0.0,1.,0.1)\n",
    "var=\"ke_n1\"\n",
    "units=\"GeV\"\n",
    "\n",
    "query='ptl>0.4'\n",
    "wght=\"MFP_pi\"\n",
    "sigma=1\n",
    "\n",
    "title=\"Leading Neutron Kinetic Energy\\n(Trigger and Acceptance Applied)\"\n",
    "xlabel=\"Kinetic Energy (%s)\"%(units)\n",
    "ylabel=\"Events / %2.2f %s \"%(bins[-1]-bins[-2],units)\n",
    "\n",
    "df=gst_df.query(query)\n",
    "\n",
    "fig,ax = plt.subplots()\n",
    "\n",
    "plt.grid(axis='y', linewidth=0.5)\n",
    "plt.hist(df[var], weights=df[\"wght\"], color='red', label=\"CV\", bins=bins,**pltops_hist)\n",
    "plt.hist(df[var], weights=df[\"wght_%s_p%d\"%(wght,sigma)], \n",
    "         color='blue', \n",
    "         label=\"%s +%d$\\sigma$\"%(wght,sigma), bins=bins,**pltops_hist)\n",
    "plt.hist(df[var], weights=df[\"wght_%s_n%d\"%(wght,sigma)], \n",
    "         color='green', \n",
    "         label=\"%s -%d$\\sigma$\"%(wght,sigma), bins=bins,**pltops_hist)\n",
    "plt.legend()\n",
    "\n",
    "#plt.title(title)\n",
    "plt.xlabel(xlabel)\n",
    "plt.ylabel(ylabel)\n",
    "plt.yscale(\"log\")\n",
    "\n",
    "plt.show()\n",
    "#plt.savefig(\"/Users/wketchum/Downloads/numucc_e_%s.png\"%fd_leg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}