fourierOptics/scripts/SPIE/Thesis/Adding a WFE in the focal plane.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b0747294",
   "metadata": {},
   "source": [
    "# Interpolating a provided WFE to a small subsection of the field\n",
    "\n",
    "The combination of Zernike modes and the PSD description of a WFE combine to provide a fantastic WFE over a large area. However, the resolution is not suitable to apply this at or near the focal plane of a system. Therefore, we need to find a way to interpolate the WFE in a way that is suitable.\n",
    "\n",
    "I see two primary ways of doing:\n",
    "\n",
    "1. Interpolate the original wavefront to a new area, assuming that the new area is a small part contained within the original large area. This will not add any data to the WFE. But then the WFE at the smaller area will primarily be a tip/tilt effect, without any smaller structure.\n",
    "2. Interpolate the phase information of the WFE, while retaining the PSD relationship. Because the phase is randomly chosen, we could assume that the phase is actually continous at smaller scales. Then the points in the original data are consistent with the zoomed in area, while adding new structure as well. At least, that is how I think this works...\n",
    "\n",
    "Let's first try to recreate the original way of doing a WFE.\n",
    "\n",
    "\n",
    "## Method #1: Interpolate on the generated WFE amplitude\n",
    "We start with the built in way, i.e. the way it's currently implemented in the fourierOptics package for the MICADO ADC."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "faaa95c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import sys\n",
    "sys.path.insert(0, '/Users/joost/Dropbox/Werk/PhD/Documents/Published/FourierOptics GitHub release/')\n",
    "from fourierOptics import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "66c72ac8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your resolution is 3001x3001 with a pixel size of 50\n",
      "This means your grid is 150050.0 mm by 150050.0 mm, with each pixel 50 mm.\n",
      "Generating new ADC WFE...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "l = 1.49e-3\n",
    "mcd = ParaxialMICADO(n=3001, m=3001, dpix=50)\n",
    "wfe = WavefrontError(mcd.n, mcd.m)\n",
    "\n",
    "_, x3, y3 = mcd.propagate(l=l,surface=4, zoom=False, show=False, \n",
    "                            print_progress=False)\n",
    "wfe_p1 = ADC_surfaces(x3,y3)\n",
    "# wfe_p1.generate_ADC_wfe(zernRMS=20e-6, psdRMS=15e-6)\n",
    "wfe_p1.generate_ADC_wfe(zernRMS=10e-6, psdRMS=5e-6)\n",
    "\n",
    "mask = np.sqrt(wfe_p1.xz**2 + wfe_p1.yz**2) > 1\n",
    "\n",
    "surf_p1 = wfe_p1.latest_surface.copy()\n",
    "surf_p1[mask]=np.nan\n",
    "figp1, axp1 = plot_real_valued_results(surf_p1[850:2150,850:2150]*1e6, x3[850:2150,850:2150], y3[850:2150,850:2150],\n",
    "        colormap='jet', labeltext='Surface height (nm)', fig_size=None, show=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "07a53a6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy import interpolate\n",
    "# Get the coordinates of the Focal Plane that we want to add a WFE to.\n",
    "_, xfp, yfp = mcd.propagate(l=l,surface=1, zoom=True, show=False, \n",
    "                            print_progress=False)\n",
    "\n",
    "surf_og = wfe_p1.latest_surface.copy()\n",
    "surf_og_ip = interpolate.interp2d(x3[0,:].real, y3[:,0].real, surf_og, \n",
    "                                  kind='cubic')\n",
    "\n",
    "fp_wfe = surf_og_ip(xfp[0,:].real, yfp[:,0].real)\n",
    "\n",
    "figp1, axp1 = plot_real_valued_results(surf_p1[850:2150,850:2150]*1e6, x3[850:2150,850:2150], y3[850:2150,850:2150],\n",
    "        colormap='jet', labeltext='Surface height (nm)', fig_size=None, show=False)\n",
    "plt.show()\n",
    "\n",
    "figp2, axp2 = plot_real_valued_results(fp_wfe*1e6, xfp, yfp,\n",
    "        colormap='jet', labeltext='Surface height (nm)', fig_size=None, show=False)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7886cc59",
   "metadata": {},
   "source": [
    "Unfortunately, this does not contain any information on the phase and PSD distribution anymore. So we need to return to the original functions to try approach #2."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1704d14a",
   "metadata": {},
   "source": [
    "## Method #2: Rebuild the PSD function and use the phase information\n",
    "\n",
    "If we assume that we want to obtain a small window of the original WFE, which covers the full plane. This small window has a diameter $d$ and the full plane has a diameter $D$. \n",
    "\n",
    "Also, the PSD curve should in principle be space invariant, where only the range of spatial frequencies that are sampled change. Based on this, we can say that we keep our original expression of the PSD, but change the spatial frequencies with the change in size. So,\n",
    "\n",
    "$$\n",
    "u' = \\left(\\frac{d}{D}\\right) u \\\\\n",
    "v' = \\left(\\frac{d}{D}\\right) v\n",
    "$$\n",
    "\n",
    "and to keep things consistent, we should also scale the cut-off frequency $\\rho_c$ with the same factor, \n",
    "\n",
    "$$\n",
    "\\rho_c' = \\left(\\frac{d}{D}\\right) \\rho_c\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7ad57761",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pyfftw\n",
    "import types\n",
    "from math import ceil\n",
    "from scipy.special import factorial, j1\n",
    "\n",
    "def power_spectral_density(s0, p, rho_c, dx, dy, A, m=1001, n=1001):\n",
    "    # Lorentzian equation used as PSD function\n",
    "    UmList = [(M - ( m + 1) / 2) / (m * dx) for M in range(m)]\n",
    "    VnList = [(N - ( n + 1) / 2) / (n * dy) for N in range(n)]\n",
    "    VnList, UmList = np.meshgrid(UmList, VnList)\n",
    "\n",
    "    _rho_mn_list = np.sqrt(UmList**2 + VnList**2)\n",
    "    _h0list = 1 / ( 1 + np.power( ( _rho_mn_list / rho_c ), p) )\n",
    "    _h0_norm = np.sum(_h0list)\n",
    "    _rho_mn_list = np.asarray(_rho_mn_list).reshape(m,n)\n",
    "\n",
    "    _PSD = (s0**2 * A) / (_h0_norm * (1 + np.power((_rho_mn_list/rho_c), p)))\n",
    "    PSD2D = _PSD\n",
    "\n",
    "    return _PSD, _rho_mn_list\n",
    "\n",
    "\n",
    "def phase_map(phase, m=1001, n=1001):\n",
    "    # Uniform distribution of the phase\n",
    "    _phase_in\t \t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _phase_in[:] \t\t= phase\n",
    "    _phase_out\t \t\t= pyfftw.empty_aligned((n, m), dtype='complex128')\n",
    "    _FFTW_Obj \t \t\t= pyfftw.FFTW( _phase_in, _phase_out, axes=(0,1), direction='FFTW_FORWARD', threads=6, flags=('FFTW_ESTIMATE',))\n",
    "    _FFTW_Obj()\n",
    "    _phaseAngle \t\t= np.angle(_phase_out)\n",
    "    return _phaseAngle\n",
    "\n",
    "\n",
    "def generate_height_map(s0, p, rho_c, m=1001, n=1001):\n",
    "    '''\n",
    "    This function generates a surface height distribution based\n",
    "    on a Lorentzian PSD profile. Following the paper by E. Sidick (2009).\n",
    "\n",
    "    2020-01-20: Removed \"mean=1e-4\" from function def. --> Did this do anything?\n",
    "    '''\n",
    "\n",
    "    # Calculation of the necessary constants\n",
    "    _dx \t\t\t\t= 1 / m\n",
    "    _dy \t\t\t\t= 1 / n\n",
    "    _A \t\t\t\t\t= (m * _dx) * (n * _dy)\n",
    "    _phase \t\t\t\t= np.random.uniform(0,1,(n,m))\n",
    "\n",
    "    # Calculating the PSD and phase\n",
    "    _PSD, _rho_mn_list \t= power_spectral_density(s0, p, rho_c, _dx, _dy, _A)\n",
    "    _phiMap \t\t\t= phase_map(_phase)\n",
    "\n",
    "    # Shifting the coordinates for the FFT\n",
    "    _PSD \t\t\t\t= np.fft.ifftshift(_PSD)\n",
    "\n",
    "    # Doing the fourier transform\n",
    "    _in\t \t\t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _in[:] \t\t\t\t= np.exp( 1j * _phiMap) * np.sqrt(_A * np.abs(_PSD))\n",
    "    _out\t \t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _FFTW_Obj \t \t\t= pyfftw.FFTW( _in, _out, axes=(0,1), direction='FFTW_BACKWARD', threads=6, flags=('FFTW_ESTIMATE',))\n",
    "    _FFTW_Obj()\t\n",
    "\n",
    "    # The final height distribution\n",
    "    _hMap \t\t\t\t= 1 / ( _dx * _dy ) * _out\n",
    "    data = _hMap.real\n",
    "    rms \t\t\t= np.sqrt(np.mean(np.asarray(data)**2))\n",
    "    ptv \t\t\t= np.abs(np.max(data)) + np.abs(np.min(data))\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "886e3a48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.93633170e-05 2.10425308e-05 2.77771267e-05 ... 1.44274571e-05\n",
      "  2.27325109e-05 2.23404535e-05]\n",
      " [1.91990992e-05 3.48035221e-05 3.07693450e-05 ... 2.45813303e-05\n",
      "  2.74385316e-05 3.09157219e-05]\n",
      " [3.95044135e-05 3.58946453e-05 3.75796845e-05 ... 1.44757173e-05\n",
      "  2.79688859e-05 3.20674296e-05]\n",
      " ...\n",
      " [1.26774660e-05 1.01140328e-05 2.02602288e-05 ... 1.63181162e-05\n",
      "  7.44747354e-06 1.35122524e-05]\n",
      " [1.02753006e-05 1.66528385e-06 7.30292121e-06 ... 7.90939382e-08\n",
      "  2.18146860e-06 5.33645131e-06]\n",
      " [2.51955094e-05 1.47003151e-05 2.25325249e-05 ... 1.68272061e-05\n",
      "  5.81322513e-06 2.11535448e-05]]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hsurf = generate_height_map(15e-6, 2, 1)\n",
    "print(hsurf)\n",
    "plt.figure()\n",
    "plt.imshow(hsurf, cmap='jet')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "83c177ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_height_map_ip(s0, p, rho_c, xy_og, xy_new, m=1001, n=1001, phase=None):\n",
    "    '''\n",
    "    This function generates a surface height distribution based\n",
    "    on a Lorentzian PSD profile. Following the paper by E. Sidick (2009).\n",
    "\n",
    "    2020-01-20: Removed \"mean=1e-4\" from function def. --> Did this do anything?\n",
    "    '''\n",
    "    # Normalise coordinates\n",
    "    xog, yog = xy_og\n",
    "    xn, yn = xy_new\n",
    "    xnorm = xog/xog.max()\n",
    "    ynorm = yog/yog.max()\n",
    "    xwin = xn/xog.max()\n",
    "    ywin = yn/yog.max()\n",
    "    scale = (xwin.real.max() - xwin.real.min())/(xnorm.real.max() - xnorm.real.min())\n",
    "    \n",
    "    # Calculation of the necessary constants\n",
    "    _dx \t\t\t\t= 1 / m\n",
    "    _dy \t\t\t\t= 1 / n\n",
    "    _A \t\t\t\t\t= (m * _dx) * (n * _dy)\n",
    "    \n",
    "    if phase is None:\n",
    "        _phase \t\t\t\t= np.random.uniform(0,1,(n,m))\n",
    "    else:\n",
    "        _phase = phase\n",
    "    \n",
    "    # Interpolation of the phase info\n",
    "#     _phase_ip = interpolate.interp2d(xnorm[0,:].real, ynorm[:,0].real, _phase, kind='cubic')\n",
    "    _phase_ip = interpolate.RectBivariateSpline(ynorm[:,0].real, xnorm[0,:].real, _phase, kx=5, ky=5)\n",
    "#     _phase_window = _phase_ip(xwin[0,:].real, ywin[:,0].real)\n",
    "    _phase_window = _phase_ip(ywin[:,0].real, xwin[0,:].real)\n",
    "\n",
    "    # Calculating the PSD and phase\n",
    "    _PSD, _rho_mn_list \t= power_spectral_density(s0, p, rho_c, _dx, _dy, _A, m=m, n=n)\n",
    "    _phiMap \t\t\t= phase_map(_phase, m=m, n=n)\n",
    "\n",
    "    # Shifting the coordinates for the FFT\n",
    "    _PSD \t\t\t\t= np.fft.ifftshift(_PSD)\n",
    "    \n",
    "    # Doing the fourier transform\n",
    "    _in\t \t\t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _in[:] \t\t\t\t= np.exp( 1j * _phiMap) * np.sqrt(_A * np.abs(_PSD))\n",
    "    _out\t \t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _FFTW_Obj \t \t\t= pyfftw.FFTW( _in, _out, axes=(0,1), direction='FFTW_BACKWARD', threads=6, flags=('FFTW_ESTIMATE',))\n",
    "    _FFTW_Obj()\t    \n",
    "    \n",
    "    # The final height distribution\n",
    "    _hMap \t\t\t\t= 1 / ( _dx * _dy ) * _out\n",
    "    data = _hMap.real\n",
    "    rms \t\t\t= np.sqrt(np.mean(np.asarray(data)**2))\n",
    "    ptv \t\t\t= np.abs(np.max(data)) + np.abs(np.min(data))\n",
    "    \n",
    "    # Now the smaller window\n",
    "    # Calculating the PSD and phase for the window\n",
    "    s0window = rms # The rms based on the window of the original data.\n",
    "    print(s0window)\n",
    "    _PSDw, _rho_mn_listw \t= power_spectral_density(s0window, p, rho_c, _dx, _dy, _A, m=m, n=n)\n",
    "    # Calculating the scaled phase\n",
    "    _phiMap_window  \t= phase_map(_phase_window, m=m, n=n)\n",
    "\n",
    "    # Shifting the coordinates for the FFT\n",
    "    _PSDw = np.fft.ifftshift(_PSDw)\n",
    "    \n",
    "    # Doing the fourier transform of the window\n",
    "    _inw\t \t\t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _inw[:] \t\t\t\t= np.exp( 1j * _phiMap_window) * np.sqrt(_A * np.abs(_PSD))\n",
    "    _outw\t \t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _FFTW_Objw \t \t\t= pyfftw.FFTW( _inw, _outw, axes=(0,1), direction='FFTW_BACKWARD', threads=6, flags=('FFTW_ESTIMATE',))\n",
    "    _FFTW_Objw()\t\n",
    "\n",
    "    _hMapw \t\t\t\t= 1 / ( _dx * _dy ) * _outw\n",
    "    dataw = _hMapw.real\n",
    "    rmsw \t\t\t= np.sqrt(np.mean(np.asarray(dataw)**2))\n",
    "    ptvw \t\t\t= np.abs(np.max(dataw)) + np.abs(np.min(dataw))\n",
    "    print(rmsw)\n",
    "    _hMap_ip = interpolate.interp2d(xnorm[0,:].real, ynorm[:,0].real, data, kind='cubic')\n",
    "    dataip = _hMap_ip(xwin[0,:].real, ywin[:,0].real)\n",
    "    \n",
    "    return data, dataw, dataip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "ee230029",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.4733511996914156e-05\n",
      "2.4733511996914153e-05\n",
      "2.4733511996914156e-05\n",
      "2.473351199691415e-05\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.close('all')\n",
    "xy3 = (x3, y3)\n",
    "xyfp = (xfp, yfp)\n",
    "\n",
    "xfp2 = xfp + 1e-2 * xfp.max()\n",
    "yfp2 = yfp\n",
    "xyfp2 = (xfp2, yfp2)\n",
    "\n",
    "x3n = x3 / x3.max()\n",
    "y3n = y3 / y3.max()\n",
    "\n",
    "# phasegen2 = np.random.uniform(0,1,x3.shape)\n",
    "# phasegen = np.random.normal(0,1,x3.shape)\n",
    "d, dw, dip = generate_height_map_ip(25e-6, 2, 1, xy3, xyfp, m=3001, n=3001, phase=phasegen2)\n",
    "d2,dw2, dip2 = generate_height_map_ip(25e-6, 2, 1, xy3, xyfp2, m=3001, n=3001, phase=phasegen2)\n",
    "\n",
    "fig, axes = plt.subplots(ncols=3, nrows=2, sharex=True, sharey=True, figsize=(8,8))\n",
    "axes[0,0].imshow(d, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[0,1].imshow(dw, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[0,2].imshow(dip, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,0].imshow(d2, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,1].imshow(dw2, cmap='jet', extent=[xfp2.min(), xfp2.max(), yfp2.min(), yfp2.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,2].imshow(dip2, cmap='jet', extent=[xfp2.min(), xfp2.max(), yfp2.min(), yfp2.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[0,0].set_xlim([xfp.min(),xfp.max()])\n",
    "axes[0,0].set_ylim([yfp.min(),yfp.max()])\n",
    "axes[1,0].set_xlim([xfp.min(),xfp.max()])\n",
    "axes[1,0].set_ylim([yfp.min(),yfp.max()])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53a03cce",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "6289acab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.4840107198148489e-05\n",
      "1.4840107198148484e-05\n",
      "1.484010719814849e-05\n"
     ]
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, nrows=2, sharex=True, sharey=True, figsize=(10,8))\n",
    "axes[0,0].imshow(d, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[0,1].imshow(dw, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,0].imshow(d2, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,1].imshow(dw2, cmap='jet', extent=[xfp2.min(), xfp2.max(), yfp2.min(), yfp2.max()], vmin=-5e-5, vmax=5e-5)\n",
    "\n",
    "axes[0,0].set_xlim([-1,1])\n",
    "axes[0,0].set_ylim([-1,1])\n",
    "axes[1,0].set_xlim([-1,1])\n",
    "axes[1,0].set_ylim([-1,1])\n",
    "plt.show()\n",
    "\n",
    "print(np.sqrt(np.mean(np.asarray(d)**2)))\n",
    "print(np.sqrt(np.mean(np.asarray(dw)**2)))\n",
    "print(np.sqrt(np.mean(np.asarray(dw2)**2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "751c5615",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "phasegen = np.random.uniform(0,1,x3.shape)\n",
    "phasegen_ip = interpolate.interp2d(x3[0,:].real, y3[:,0].real, phasegen, kind='cubic', fill_value=np.nan)\n",
    "phase1 = phasegen_ip(xfp[0,:].real, yfp[:,0].real)\n",
    "phasegen_ip2 = interpolate.interp2d(x3[0,:].real, y3[:,0].real, phasegen, kind='cubic', fill_value=np.nan)\n",
    "phase2 = phasegen_ip2(xfp[0,:].real+0.5, yfp[:,0].real)\n",
    "\n",
    "\n",
    "fig, axes = plt.subplots(ncols=3, nrows=1, sharex=True, sharey=True, figsize=(9,4.8))\n",
    "axes[0].imshow(phasegen, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=0, vmax=1)\n",
    "axes[1].imshow(phase1, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=0, vmax=1)\n",
    "axes[2].imshow(phase2, cmap='jet', extent=[xfp.min()+0.5, xfp.max()+0.5, yfp.min(), yfp.max()], vmin=0, vmax=1)\n",
    "\n",
    "axes[0].set_xlim([-1,1])\n",
    "axes[0].set_ylim([-1,1])\n",
    "plt.show()\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.imshow(phase1 - phase2, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=0, vmax=1)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "02fb3ccb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, xfp, yfp = mcd.propagate(l=l,surface=1, zoom=True, show=True, \n",
    "\t\t\t\t\t\t\t\tprint_progress=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "8f252e3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-155.63238243799717+0j) (155.63238243799717+0j)\n"
     ]
    }
   ],
   "source": [
    "print(x3.min(), x3.max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "73af1f14",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "844ea83f",
   "metadata": {},
   "outputs": [],
   "source": [
    "// cash stands for chaos hash :D\n",
    "int cash(int x, int y){   \n",
    "    int h = seed + x*374761393 + y*668265263; //all constants are prime\n",
    "    h = (h^(h >> 13))*1274126177;\n",
    "    return h^(h >> 16);\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "40b8f454",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[        1     45748     91495 ... 137104480 137150228 137195975]\n",
      " [    81576    127324    173071 ... 137186056 137231803 137277550]\n",
      " [   163152    208899    254646 ... 137267631 137313378 137359126]\n",
      " ...\n",
      " [244481323 244527071 244572818 ... 381585803 381631550 381677297]\n",
      " [244562899 244608646 244654393 ... 381667378 381713125 381758873]\n",
      " [244644474 244690221 244735969 ... 381748953 381794701 381840448]]\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "Integers to negative integer powers are not allowed.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/yz/y0zt1db902bfbj6p8rfsrkxh0000gn/T/ipykernel_37535/882201994.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmgrid\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000j\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000j\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0mqrf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcash\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqrf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'lower'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/var/folders/yz/y0zt1db902bfbj6p8rfsrkxh0000gn/T/ipykernel_37535/882201994.py\u001b[0m in \u001b[0;36mcash\u001b[0;34m(x, y)\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mh\u001b[0m \u001b[0;34m>>\u001b[0m \u001b[0;36m13\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mh\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mh\u001b[0m \u001b[0;34m>>\u001b[0m \u001b[0;36m16\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmgrid\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000j\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000j\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Integers to negative integer powers are not allowed."
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def cash(x,y):\n",
    "    try:\n",
    "        seed = 12345\n",
    "        h = seed + x*374761393 + y*668265263\n",
    "        print((h >> 13))\n",
    "        h = (h**(h >> 13))*1274126177\n",
    "    except ValueError:\n",
    "        print((h >> 13) < 0)\n",
    "    return h**(h >> 16)\n",
    "\n",
    "y, x = np.mgrid[0:3000:3000j, 0:3000:3000j].astype(int)\n",
    "\n",
    "qrf = cash(x,y)\n",
    "\n",
    "plt.imshow(qrf, origin='lower')\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "21908224",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(array([[-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       ...,\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244]]), array([[-155.63238244, -155.63238244, -155.63238244, ..., -155.63238244,\n",
      "        -155.63238244, -155.63238244],\n",
      "       [-155.52862752, -155.52862752, -155.52862752, ..., -155.52862752,\n",
      "        -155.52862752, -155.52862752],\n",
      "       [-155.42487259, -155.42487259, -155.42487259, ..., -155.42487259,\n",
      "        -155.42487259, -155.42487259],\n",
      "       ...,\n",
      "       [ 155.42487259,  155.42487259,  155.42487259, ...,  155.42487259,\n",
      "         155.42487259,  155.42487259],\n",
      "       [ 155.52862752,  155.52862752,  155.52862752, ...,  155.52862752,\n",
      "         155.52862752,  155.52862752],\n",
      "       [ 155.63238244,  155.63238244,  155.63238244, ...,  155.63238244,\n",
      "         155.63238244,  155.63238244]]))\n"
     ]
    }
   ],
   "source": [
    "xr, yr = x3.real, y3.real\n",
    "print((xr,yr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5acddec2",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9780553e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-2.8244144799708755\n",
      "<class 'numpy.complex128'>\n",
      "[ 0.92804617-0.14694j     0.25085172+0.14699884j -1.14854409-2.04597838j\n",
      "  3.27431443-2.71612062j  1.90618351+1.83303848j -0.20603149-0.96766014j\n",
      "  2.12881562-0.41981614j  1.        -0.j          2.12881562+0.41981614j\n",
      " -0.20603149+0.96766014j  1.90618351-1.83303848j]\n",
      "-2.8244144799708755\n",
      "<class 'numpy.complex128'>\n",
      "-2.8244144799708755\n",
      "<class 'numpy.complex128'>\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "\"\\n# coeffs = np.random.uniform(0,1,(101,101))\\n# coeffs = np.zeros((101,101))\\n# coeffs[0,0] = 1\\nx = np.linspace(-np.pi,np.pi,101)\\ny = np.linspace(-np.pi,np.pi,101)\\nxx, yy = np.meshgrid(x, y)\\n\\ndata = fourierSeries(xx,yy,coeffs)\\nprint(data)\\n\\nplt.figure()\\nplt.imshow(np.abs(data), cmap='jet')\\nplt.colorbar()\\nplt.show()\\n\""
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def fourierSeries(x,y,c):\n",
    "    f = np.zeros(np.shape(x)).astype('complex128')\n",
    "    mm,nn = np.meshgrid(range(len(x[0,:])), range(len(y[:,0])))\n",
    "    print(mm, nn)\n",
    "    for j, m in enumerate(mm):\n",
    "        for i, n in enumerate(nn):\n",
    "            px = 1/(n+1)\n",
    "            py = 1/(m+1)\n",
    "            fij = c * np.exp(1j*(2*np.pi/px)*x + (2*np.pi/py)*y)\n",
    "#             fij = c[i,j] * np.exp(1j*n*x+m*y)\n",
    "            f += fij\n",
    "    return f\n",
    "\n",
    "def fourierSeries1D(x,c, P=50, xs=25):\n",
    "    '''\n",
    "    x - x coordinates\n",
    "    c - Coefficients\n",
    "    P - Period before repeating the pattern\n",
    "    xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "    '''\n",
    "    xpos = x - xs\n",
    "    norm_factor = np.sum(c)\n",
    "    print(norm_factor)\n",
    "    f = np.asarray([c[i]*np.exp(1j*i* 2*np.pi/P * xpos) for i in range(len(c))]).sum(axis=0)\n",
    "    print(type(f[0]))\n",
    "    return f/norm_factor\n",
    "\n",
    "# 1D Fourier series test\n",
    "np.random.seed(1)\n",
    "coeffs = np.random.uniform(-1,1,100)\n",
    "# coeffs[0] = 1\n",
    "# coeffs[1] = 1\n",
    "# coeffs[2] = 1\n",
    "\n",
    "xx0 = np.linspace(-10,40,11)\n",
    "yy0 = fourierSeries1D(xx0, coeffs, P=1000)\n",
    "print(yy0)\n",
    "xx1 = np.linspace(-50, 50, 201)\n",
    "yy1 = fourierSeries1D(xx1,coeffs, P=1000)\n",
    "xx2 = np.linspace(-30, 45, 21)\n",
    "yy2 = fourierSeries1D(xx2,coeffs, P=1000)\n",
    "plt.figure()\n",
    "plt.plot(xx0,yy0.real, 'g', marker='x', linestyle='--', zorder=2)\n",
    "plt.plot(xx1,yy1.real, 'b-', zorder=2)\n",
    "plt.plot(xx2,yy2.real, 'r-', zorder=3, linewidth=1)\n",
    "plt.grid(alpha=0.3, zorder=0)\n",
    "plt.show()\n",
    "\n",
    "'''\n",
    "# coeffs = np.random.uniform(0,1,(101,101))\n",
    "# coeffs = np.zeros((101,101))\n",
    "# coeffs[0,0] = 1\n",
    "x = np.linspace(-np.pi,np.pi,101)\n",
    "y = np.linspace(-np.pi,np.pi,101)\n",
    "xx, yy = np.meshgrid(x, y)\n",
    "\n",
    "data = fourierSeries(xx,yy,coeffs)\n",
    "print(data)\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(np.abs(data), cmap='jet')\n",
    "plt.colorbar()\n",
    "plt.show()\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "80f810ef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-2.8244144799708755\n",
      "<class 'numpy.complex128'>\n",
      "[ 0.92804617-0.14694j     0.73482068-0.1828004j   0.52660171+0.0308276j\n",
      " -0.15380869+0.14587545j -1.03250078-0.52772232j -1.14854409-2.04597838j\n",
      "  0.15220504-3.4237516j   2.32344441-3.40161665j  3.87639295-1.69179571j\n",
      "  3.65598886+0.5920894j   1.90618351+1.83303848j]\n",
      "-2.8244144799708755\n",
      "<class 'numpy.complex128'>\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1D Fourier series test\n",
    "np.random.seed(1)\n",
    "coeffs = np.random.uniform(-1,1,100)\n",
    "# coeffs[0] = 1\n",
    "# coeffs[1] = 1\n",
    "# coeffs[2] = 1\n",
    "\n",
    "xx0 = np.linspace(-10,10,11)\n",
    "yy0 = fourierSeries1D(xx0, coeffs, P=1000)\n",
    "print(yy0)\n",
    "xx1 = np.linspace(-5, 15, 11)\n",
    "yy1 = fourierSeries1D(xx1,coeffs, P=1000)\n",
    "# xx2 = np.linspace(-30, 45, 21)\n",
    "# yy2 = fourierSeries1D(xx2,coeffs, P=1000)\n",
    "plt.figure()\n",
    "plt.plot(xx0,yy0.real, 'g', marker='x', linestyle='--', zorder=2)\n",
    "plt.plot(xx1,yy1.real, 'b-', zorder=2)\n",
    "\n",
    "# plt.plot(xx2,yy2.real, 'r-', zorder=3, linewidth=1)\n",
    "plt.grid(alpha=0.3, zorder=0)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94b0d227",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b7a59755",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time: 0.0068 s\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "def fourierSeries2D(x, y, c, Px=500, Py=500, xs=250, ys=250):\n",
    "    '''\n",
    "    x - x coordinates\n",
    "    c - Coefficients\n",
    "    P - Period before repeating the pattern\n",
    "    xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "    '''\n",
    "    xpos = x #- np.sqrt(2)*xs\n",
    "    ypos = y #- np.sqrt(2)*ys\n",
    "    fout = []#np.zeros(c.shape).astype('complex128')\n",
    "    for i in range(c.shape[0]):\n",
    "        for j in range(c.shape[1]):\n",
    "            f = c[i,j] * np.exp(1j * i * 2*np.pi*xpos/Px) * np.exp(1j * j * 2*np.pi*ypos/Py)\n",
    "            fout.append(f)\n",
    "    fout = np.asarray(fout).sum(axis=0)\n",
    "    return fout\n",
    "\n",
    "\n",
    "# 1D Fourier series test\n",
    "np.random.seed(2)\n",
    "coeffs = np.random.uniform(-1,1,(11,11))\n",
    "x0 = np.linspace(-10,10,11)\n",
    "y0 = np.linspace(-10,10,11)\n",
    "xx, yy = np.meshgrid(x0,y0)\n",
    "start = time.time()\n",
    "zz = fourierSeries2D(xx, yy, coeffs)\n",
    "end = time.time()\n",
    "print('Elapsed time: {:.4f} s'.format(end - start))\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(zz.real, extent=[-150,150,-150,150], cmap='jet', origin='lower')\n",
    "plt.grid()\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2d7b525b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Old one: 0.0000 s\n",
      "New one: 0.4503 s\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from numba import njit, jit, complex64, float32,float64,complex128\n",
    "import numba\n",
    "import concurrent \n",
    "\n",
    "# def fourierSeries2Dopt(x, y, c, Px=500, Py=500, xs=0, ys=0):\n",
    "#     '''\n",
    "#     x - x coordinates\n",
    "#     c - Coefficients\n",
    "#     P - Period before repeating the pattern\n",
    "#     xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "#     '''\n",
    "#     xpos = x - xs# * np.sqrt(2)\n",
    "#     ypos = y - ys# * np.sqrt(2)\n",
    "#     j,i = np.mgrid[0:(c.shape[0]-1):(c.shape[0])*1j,0:(c.shape[1]-1):c.shape[1]*1j]\n",
    "#     print(i)\n",
    "#     print(xpos)\n",
    "#     ixt = np.asarray([i*2*np.pi*xpos/Px for i in range(c.shape[0])])\n",
    "#     jyt = np.asarray([j*2*np.pi*ypos/Py for j in range(c.shape[1])])\n",
    "#     f = c * np.exp(1j * (ixt + jyt)) * np.exp(1j * j * 2*np.pi*ypos/Py).sum(axis=0)\n",
    "# #     f = c * np.exp(1j * (ixt + jyt)).sum(axis=0)\n",
    "#     return f\n",
    "def fourierSeries2Dopt2(x, y, c, Px=500, Py=500, xs=250, ys=250):\n",
    "    '''\n",
    "    x - x coordinates\n",
    "    c - Coefficients\n",
    "    P - Period before repeating the pattern\n",
    "    xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "    '''\n",
    "    xpos = x + np.sqrt(2)*xs\n",
    "    ypos = y + np.sqrt(2)*ys\n",
    "    cs0, cs1 = c.shape\n",
    "    xt = 2*np.pi*xpos/Px\n",
    "    yt = 2*np.pi*ypos/Py\n",
    "    fout = [c[i,j] * np.exp(1j * (i * xt + j * yt)) for i  in range(cs0) for j in range(cs1)]\n",
    "    fout = np.array(fout).sum(axis=0)\n",
    "    return fout\n",
    "\n",
    "\n",
    "def meshgrid(x, y):\n",
    "    xx = np.empty(shape=(len(x), len(y)), dtype=np.int64)\n",
    "    yy = np.empty(shape=(len(x), len(y)), dtype=np.int64)\n",
    "    for j in y:\n",
    "        for k in x:\n",
    "            xx[j,k] = k  # change to x[k] if indexing xy\n",
    "            yy[j,k] = j  # change to y[j] if indexing xy\n",
    "    return xx, yy\n",
    "\n",
    "\n",
    "def fourierSeries2Dopt(x, y, c, Px=500, Py=500, xs=250, ys=250):\n",
    "    '''\n",
    "    x - x coordinates\n",
    "    c - Coefficients\n",
    "    P - Period before repeating the pattern\n",
    "    xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "    '''\n",
    "    xpos = x + np.sqrt(2)*xs\n",
    "    ypos = y + np.sqrt(2)*ys\n",
    "    cs0, cs1 = c.shape\n",
    "    normf = np.sum(c)\n",
    "    xt = 2*np.pi*xpos/Px\n",
    "    yt = 2*np.pi*ypos/Py\n",
    "    c_ij = c.flatten()\n",
    "    i,j = meshgrid(range(cs0), range(cs1))\n",
    "    I = i.flatten()\n",
    "    J = j.flatten()\n",
    "    fout = f(c, i, j, xt, yt)\n",
    "    return fout/normf\n",
    "\n",
    "@njit\n",
    "def f(c, i, j, xt, yt):\n",
    "    cs0, cs1 = c.shape\n",
    "    fout = np.zeros(xt.shape, dtype=np.float64)\n",
    "    for j in range(cs1):\n",
    "        for i in range(cs0):\n",
    "            v = c[i,j] * np.exp(1j * (i * xt + j * yt)) \n",
    "            fout += v.real\n",
    "    return fout\n",
    "\n",
    "# def expo_helper(var):\n",
    "#     i, j, xt, yt, c = var\n",
    "#     return c[i,j] * np.exp(1j * (i * xt + j * yt)) \n",
    "    \n",
    "\n",
    "# def fourierSeries2Dopt3(x, y, c, Px=500, Py=500, xs=250, ys=250):\n",
    "#     '''\n",
    "#     x - x coordinates\n",
    "#     c - Coefficients\n",
    "#     P - Period before repeating the pattern\n",
    "#     xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "#     '''\n",
    "#     xpos = x + np.sqrt(2)*xs\n",
    "#     ypos = y + np.sqrt(2)*ys\n",
    "#     cs0, cs1 = c.shape\n",
    "#     xt = 2*np.pi*xpos/Px\n",
    "#     yt = 2*np.pi*ypos/Py\n",
    "#     c_ij = c.flatten()\n",
    "#     i,j = meshgrid(range(cs0), range(cs1))\n",
    "#     I = i.flatten()\n",
    "#     J = j.flatten()\n",
    "#     var_list = [(c_ij[k], I[k], J[k], xt, yt) for k in range(len(c_ij))]\n",
    "#     fout = np.zeros(np.shape(var_list))\n",
    "#     executor = concurrent.futures.ProcessPoolExecutor(10)\n",
    "#     futures = [executor.submit(expo_helper, var) for var in var_list]\n",
    "#     concurrent.futures.wait(futures)\n",
    "\n",
    "#     print(futures[0].result() )\n",
    "    \n",
    "#     print(np.array(futures).shape)\n",
    "#     fout = np.array(futures).sum(axis=0)\n",
    "#     return fout\n",
    "\n",
    "\n",
    "# 2D Fourier series test\n",
    "np.random.seed(2183)\n",
    "coeffs = np.random.uniform(-1,1,(11,11))\n",
    "# coeffs = np.ones((101,101))\n",
    "x0 = np.linspace(-50,50,101)\n",
    "y0 = np.linspace(-50,50,101)\n",
    "xx, yy = np.meshgrid(x0,y0)\n",
    "s0 = time.time()\n",
    "# zz = fourierSeries2Dopt2(xx, yy, coeffs, )#Px=100, Py=100, xs=0, ys=0)\n",
    "s1 = time.time()\n",
    "zz = fourierSeries2Dopt(xx, yy, coeffs, )#Px=100, Py=100, xs=0, ys=0)\n",
    "s2 = time.time()\n",
    "print('Old one: {:.4f} s'.format(s1-s0))\n",
    "print('New one: {:.4f} s'.format(s2-s1))\n",
    "\n",
    "\n",
    "# Second set of coordinates\n",
    "x1 = np.linspace( -10,10,101)\n",
    "y1 = np.linspace(-10,40,101)\n",
    "xx1, yy1 = np.meshgrid(x1,y1)\n",
    "zz1 = fourierSeries2Dopt(xx1, yy1, coeffs, )#Px=100, Py=100, xs=0, ys=0)\n",
    "\n",
    "ext = [x0.min(), x0.max(), y0.min(), y0.max()]\n",
    "fig, axes = plt.subplots(ncols=3, nrows=1, figsize=(10,4), sharex=True)\n",
    "im = axes[0].imshow(zz.real, extent=ext, cmap='jet', origin='lower')\n",
    "# fig.colorbar(im, ax=axes[0])\n",
    "\n",
    "axes[1].plot( xx[int(xx.shape[0]/2),:],  zz.real[int(xx.shape[0]/2),:],   'b-', zorder=2)\n",
    "axes[1].plot(xx1[int(xx1.shape[0]/2),:], zz1.real[int(xx1.shape[0]/2),:], 'g-', marker='x', zorder=1)\n",
    "\n",
    "axes[2].plot( yy[:,int(xx.shape[0]/2)],   zz.real[:,int(xx.shape[0]/2)],  'r-', zorder=2)\n",
    "axes[2].plot(yy1[:,int(zz1.shape[0]/2)], zz1.real[:,int(xx1.shape[0]/2)], 'g-', marker='x', zorder=1)\n",
    "\n",
    "axes[1].grid(alpha=0.3, zorder=1)\n",
    "axes[2].grid(alpha=0.3, zorder=1)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2ad234e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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CZAACZAACZAACZCAhQRMTyp0I3F9Uqibn+n0qZ9pBZLlT/2S8TMdm/qZViBZ/q7r5/r4JZn66cZ2nbXrfSXd1mBfatTPPk3ilIj6xaFlX1jqZ58mcUrkun6mxy800OO0RoYlARIgARIgARIgARIgAQsJmJ5U6Ebi+qRQNz/T6VM/0woky5/6JeNnOjb1M61Asvxd18/18Usy9dON7Tpr1/tKuq3BvtSon32axCkR9YtDy76w1M8+TeKUyHX9TI9faKDHaY0MSwIkQAIkQAIkQAIkQAIWEjA9qdCNxPVJoW5+ptOnfqYVSJZ/Vvo9M/8ZDO83PHZha40XO6M6jZCVfnWKx/piu66f6+MXmxqY66xd7ys2tSUdZaF+Oqhmlyb1y451LTlVGyuH6VctXi1lYZz0Cbje/0yPX2igp99mmSIJkAAJkAAJkAAJkAAJZErA9KRCd2VdnxTq5mc6fepnWoFk+evUT76Yk9fkVybj9tm3Y8LoCdiz357FAocZ6oV4f/rPnzDp5Um4dK9Lsc9W+1SNl4xEfcbWqV99EqmvUruun+vjF5tam+usXe8rNrUlHWWhfjqoZpcm9cuOddScCub3uCfHYfyM8bkx9nnDz4PKFPfr9+5X72JE/xG4+pmr0TCtITfGHjdqnDJe1LIwnF4Crvc/0+MXGuh62y9TJwESIAESIAESIAESIAHtBExPKnRX0PVJoW5+ptOnfqYVSJa/Dv3ky7uCaV6pdGOHjMWROx1ZXJku4xVM80rxjht0HI4ffHxNK9qT0bIvtg797KuluyVyXT/Xxy82tUzXWbveV2xqSzrKQv10UM0uTeqXHetqOcmx8uPvP54zzeU4Wn5oWrhGDxiNaXOnlZnpUr8Zb8zAm0vfxFnPnIWR/UfmwhWuQjo006vRN/O76/3P9PiFBrqZds1cSYAESIAESIAESIAESCA1AqYnFalVJCQh1yeFuvmZTp/6mVYgWf5p63f8A8fnVpvHueSLO3n5XwJGiS+N9MnfnxwlqLNh0tbPWVCWVsx1/Vwfv9jUrFxn7Xpfsakt6SgL9dNBNbs0qV92rFU5BVeb+8OMGTgGU+dMLYvmN9NbbGiBe1+6Nxdm9hezsWbDmmL4YHya6Wa1VuXuev8zPX6hgW5fm2eJSIAESIAESIAESIAESCAWAdOTiliFrSGw65PCGpDUVRTqV1dylRU2Tf2+96fv4ZH3HskUyP7f2B8PH/lwpnnalFma+tlUr+ZSFtf1c338YlM7dZ21633FprakoyzUTwfV7NKkftmxDuZU2KI9uNrcHy7MRC+EadOiDQZ1HJT7p99AD8arZqabo9C8c3a9/5kev9BAb979i7UnARIgARIgARIgARJwgIDpSYVuhK5PCnXzM50+9TOtQLL809LPhHleqHlzNtHT0i9ZK2LsWgm4rp/r45daddcRz3XWrvcVHW3CpjSpn01qxC8L9YvPLGkMuepcXiNuH1FMqpJRXuk3lYFezTwP/n7z/jfj1N1OTVotxq+BgOv9z/T4hQZ6DY2SUUiABEiABEiABEiABEjAJgKmJxW6Wbg+KdTNz3T61M+0AsnyT6pf1PPOk5Wyeuzmei56Uv2qk2UInQRc18/18YvOthE3bddZu95X4updb+GpX70pVlpe6petfoVV5xNGT8hl3DCtoViASkb5Nl22wTvL3ykrbNBA79SuE5atWhaaZpi5XjgjPVsazM31/md6/EIDnX2MBEiABEiABEiABEiABOqcgOlJhW58rk8KdfMznT71M61AsvyT6FfLeefJSls9dnM7Fz2JftVpMoRuAq7r5/r4RXf7iJO+66xd7ytxtK7HsNSvHlXzykz9stFPteo8ron+zcXAN5cCLTd4ZW7VohW2bL8lFm3WFndt9i5Wt1gb2zwvRHj6uKdz/3d4v+HZQGEucL3/mR6/0EBnJyMBEiABEiABEiABEiCBOidgelKhG5/rk0Ld/EynT/1MK5As/1r1s9E8L5BoTiZ6rfolazWMnRYB1/VzffySVjtIIx3XWbveV9JoAzanQf1sVqd62ahfdUZJQ1RadV7NRO++AjjyNeDY2cDOwkCvdDVuCty1E3Cn+O/NHqUhq23r7i8HV6MnVTx6fNf7n+nxCw306G2RIUmABEiABEiABEiABEjASgKmJxW6obg+KdTNz3T61M+0Asnyr0U/uULGfyZjshLoiS1XyDSH1TG16KeHOFOthYDr+rk+fqlFc11xXGftel/R1S5sSZf62aJEbeWgfrVxixorOK5WGebBe63WAT/9oBMOfuEz7P8u0GZ91Ny8cC9vnjfS79wZ2Pobw/DCgheKPwbNdFWZuBo9PvNaYrje/0yPX2ig19IqGYcESIAESIAESIAESIAELCJgelKhG4Xrk0Ld/EynT/1MK5As/1r0s3n1eYFGc1mFXot+yVoMY6dJwHX9XB+/pNkWkqblOmvX+0pS/W2PT/1sV6hy+aifPv2keS4/+Lz6matLzjqvZKLf8ZcG/PVvwE5L0inXp22BU78H/FmY6fKKYp5zNXo67KOk4nr/Mz1+oYEepRUyDAmQAAmQAAmQAAmQAAlYTMD0pEI3Gtcnhbr5mU6f+plWIFn+cfWrB/O8QKQ5mOhx9UvWWhg7bQKu6+f6+CXt9pAkPddZu95XkmhfD3GpXz2oFF5G6qdHP/+27ecNPy+SiT5+wXY4+/a3sMma8DIt3ARYunH+9xZN/222ti22WP51xYrctSNw9RF98frqxmK4KKvhZeDmsvOTnpZQOVXX+5/p8QsNdBOtmnmSAAmQAAmQAAmQAAmQQIoETE8qUqyKMinXJ4W6+ZlOn/qZViBZ/nH0q4et24M0XH+hF0e/ZC2FsXUQcF0/18cvOtpErWm6ztr1vlKr7vUSj/rVi1LqclK/9PVTbdteyUS/5LEG/OYx4LSZ6rJ82Rq4bwfgjkHA9P7AhpZeuDYt2mBQx0H4xoIvMeS5N/GT/6zH5uLcdNU1tzNw1KHAc/2AqOa5DCfLzksPAdf7n+nxCw10Pe2WqZIACZAACZAACZAACZBAZgRMTyp0V9T1SaFufqbTp36mFUiWfxz9CitlkuWYbexL97oU40aNyzbTDHOLo1+GxWJWEQm4rp/r45eIMmcSzHXWrveVTBqJwUyon0H4KWRN/VKAqEhCtW27ykQf3/84HHDhFOzyUflB5//tDvzm28DfhHn+RTt1OaWBPrLrSHy++nPM/mI21q9dg9FzgZNfAg59qzzOOrFs/cbvbopVDb/ABU9dUgwQZqgXzPPCdvR6aDXfVF3vf6bHLzTQm2/fYs1JgARIgARIgARIgAQcIWB6UqEbo+uTQt38TKdP/UwrkCz/qPrV4+rzAhmXV6FH1S9ZK2FsXQRc18/18YuudlFLuq6zdr2v1KJ5PcWhfvWklsJQXbcOS5cuzf3QvXt3tGrVqr4rZLj0fqO5mom+lzC6//5XoMtX5YX+/WDgjP2Br9pUrlBhBboMJQ30NRu8/d8Pfw2Y9BDQWbG7++MDgAN/kk+/mnleqIfrH66aaDquPz9Nj19ooJto1cyTBEiABEiABEiABEiABFIkYHpSkWJVlEm5PinUzc90+tTPtALJ8o+qXz2uPi+QcfllXlT9krUSxtZFwHX9XB+/6GoXtaTrOmvX+0otmtdTHOpXT2qVl5X6padf8NxzmXKYiX75jT/Cmb/4GzZdXZq/3K791O8BU4SBHuXyG+iNaxux6MtFJdH6fgrceT+w1wflqT36DeClmy/ERht3RMO0hmIA/7btwfK7/OFqFN5ph3G9/5kev9BAT7vFMj0SIAESIAESIAESIAESyJiA6UmF7uq6PinUzc90+tTPtALJ8o+iXz2vPi/QcfVlXhT9krUQxtZJwHX9XB+/6GwbcdN2nbXrfSWu3vUWnvrVm2Kl5aV+6egXdu65TD1oQl848DiMPf0O9PlsQ0nmb3cFfvgj4PWe0ctUaQV6IZWWYnf4c58FfjkdaBPYKf4f2wGHHQasbdp4oJJ5XviN27lH16daSNf7n+nxCw30ai2Qv5MACZAACZAACZAACZCA5QRMTyp043F9Uqibn+n0qZ9pBZLlH0W/el59XqDj6ir0KPolayGMrZOA6/q5Pn7R2Tbipu06a9f7Sly96y089as3xUrLS/3S0y9stbnMofBbB7Gd+lO3A7uULhTHA9sCPz1Efdb5sN7D8MKCF5QFVRnofTfti8bPG8vCDxO3Hv0TsFlgy/g/fws46lDgyu9OQOHM82rbz7s69k6vNURLyfX+Z3r8QgM9WjtkKBIgARIgARIgARIgARKwloDpSYVuMK5PCnXzM50+9TOtQLL8q+nnwurzAiEXV6FX0y9Z62Bs3QRc18/18Yvu9hEnfddZu95X4mhdj2GpXz2q5pWZ+qWjX2FVdiUT/ZfTLsEup1yGA94tzfPpfsA+RwOrxfbthWvMwDGYOmdq8d+jB4zGtLnTygobNND7de6HOZ/MCU1n6IfAv/+Isq3jpwxugZ+8sApt2rQN3Xae27mn01b8qbje/0yPX2igp99mmSIJkAAJkAAJkAAJkAAJZErA9KRCd2VdnxTq5mc6fepnWoFk+VfTz4XV5wVCLq6EqaZfstbB2LoJuK6f6+MX3e0jTvqus3a9r8TRuh7DUr96VM0rM/VLrl/w7HOViX7OHr/Ao2O+ge/9e15Jhu90Ab59glgVvsXAEuNbbpcuL//Z5GOHjEX/zv1L7vkN9DYd2+C5j54rpq9KQ/6434JNcO/kFdh4bWnd/7ZXN8y57Gyc/8QFJWnIVemVPgxITrD5puB6/zM9fqGB3nz7FmtOAiRAAiRAAiRAAiTgCAHTkwrdGF2fFOrmZzp96mdagWT5V9LvdzN/h9MeOS1ZBpbFvnn/m3HqbqdaVqrai8P+Vzs7G2K6rp/r4xcb2lChDK6zdr2v2NSWdJSF+umgml2a1C8Z67Czz4OG88S3t8bYP5cuPV/WHthdmOdzxNnncielP/3nT5j08qQS81r+w2+i+01x+fFoiw0t8PDsh7FLr10w+d3JWLNhTS6+yjyX9+Z9Oi+Xx2ixSP2hu4F260rrf8ko4DLxXyGNSuY5z0JP1nZkbNf7n+nxCw305G2UKZAACZAACZAACZAACZCAUQKmJxW6K+/6pFA3P9PpUz/TCiTLP0y/wkqZ4PaQyXIzG7tQF5dWorP/mW1TSXN3XT/Xxy9J9U8zvuusXe8rabYFG9OifjaqEr1M1C86q7CQ1c4L30eY1Y/dCbT0JfBVK2D0McBzYvt2eUlzO8yslr/7TXRptstreL/hOQN2ynNTMOmlSZj9xeycgR5mngfTOXVRP1x/63y0We8VTP5fWa4xJ4SXx19Ol8bdyVtC/BRc73+mxy800OO3ScYgARIgARIgARIgARIgAasImJ5U6Ibh+qRQNz/T6VM/0woky1+lX3CljG4T/bhBx+Uqcfvs25NVpkLsYB1cOQ+d/U9bk8kkYdf1c338kkkjiZiJ66xd7ysRZa7bYNSvbqXLFZz61a6ffwV2mIl+xaPn48gjJqD/Z6X5HP5D4J5vld6LYqIHDeuCfne/djcanm/AZXtflks0bNV6IUeZ15799sR154zAPX8DWm3wyiJ2eMetfzgF7XtvWZaOyuR3Zdxde0uoPabr/c/0+IUGeu1tkzFJgARIgARIgARIgARIwAoCpicVuiG4PinUzc90+tTPtALJ8g/T75SHTinZIlKHiS6N8+MHH59bHSMv+ZJx8iuTUzfSVWV3ZTUM+1+y9m86tuv6uT5+Md1+/Pm7ztr1vmJTW9JRFuqng2p2aVK/2lgHzz2XqahM9B4XXYXjZpS65xfsDVw1Mnyb9TCTWuZRGFcXSu3X792v3kWLli0w4vYRxUqFrUaXechrv7v2w853TMWEaaUcHhsofjsS2NC0bL6SuV9IqzaSzTuW6/3P9PiFBnrz7l+sPQmQAAmQAAmQAAmQgAMETE8qdCN0fVKom5/p9KmfaQWS5a/SL2z79jDfflUAACAASURBVDRNdGmeT/7+ZGXhj3/g+NRM9EpldmE1DPtfsvZvOrbr+rk+fjHdfvz5u87a9b5iU1vSURbqp4NqdmlSv/isw849lyn5TfShHwLP/7506/bp/YG9xRbpaJE/91wa4tW2gK/0YWilsX4187yQbwuxb/sjfxLbtout5v1Xw2hRH+HF0zyP30aixnC9/5kev9BAj9oSGY4ESIAESIAESIAESIAELCVgelKhG4vrk0Ld/EynT/1MK5As/6B+z3/0fMmqlKAB3bdjXzR+0ZgsUxG7knkdfOlYa2Z9NxVl/Vxd1rFDxmLiARNrTdqaeOx/1khRU0Fc18/18UtNomuK5Dpr1/uKpmZhTbLUzxopaioI9asJW6jpLVOTxvTFjzXg5VuBHZd46ctzz3c8FXiva/5ewZguxAluuy5Xdvu3iVeVNEw/GU9ewdXohdXiQdP+sG574fqGGei9wstlrTD59xInMV196dN4dv6zyu3cC6GrlbM2yu7Hcr3/mR6/0EB3vw+xhiRAAiRAAiRAAiRAAo4TMD2p0I3X9Umhbn6m06d+phVIln9Qv8uevgzjZ4wvSTTNlecy4UqrzwsZp7kKPUioUB8XtnFn/0vW/k3Hdl0/18cvptuPP3/XWbveV2xqSzrKQv10UM0uTepXO+uwlePSTH7s2BG4bHpp2oUV3f67lUz0KLspVdMv6lbz0lg//LSeuHvikpLz0OdvChzSsCVmrf6gWGx/meXNAgcXxt61t4baYlbTr7ZU7YllevxCA92etsCSkAAJkAAJkAAJkAAJkEBNBExPKmoqdIxIrk8KY6Coy6DUry5lKxbar588F3HkFHHgouJKy0SPYp4XstdhogfrEeXFo80Ks//ZrE71srmun+vjl+oKA+eeey6uvfbaYtDp06dj1KhRUaLGCuM6a9f7Siyx6zAw9atD0XxFpn7J9FOZ6Ktem4Xzz7gHbdd5ab/SCxh6InD5vhNyN1WrzeX9uGZ0FP38q8PDTP9THjoFk16ehIufBH4p/vNfD24DfP8IcUesSA8zzwvh633snaw1xI8dRb/4qdoTw/T4hQa6PW2BJSEBEiABEiABEiABEiCBmgiYnlTUVOgYkVyfFMZAUZdBqV9dylYsdFC/0x89PfdyTNcV56VZWlu5F+oSNM9d2Mad/U9XS80mXdf1c338Uq2VvPrqq9h1112xdu3aYlAa6NWoqX93va/URqV+YlG/+tFKVVLqF08/1VblflNanif+1O3AcN8pQ+uE8SzN81m9o50nHmc79Dj6VTtrXZJoKcr/7z+Kc9rnlXI55mDg//beBm+f8Xbxh7D04hFt3qHj6FePpEyPFWmg12OrYZlJgARIgARIgARIgARIwEfA9KRCtxiuTwp18zOdPvUzrUCy/P363fLmLRj31Diktdo8WLJatm0sbCuZrJYoq5Mr27iz/yVtGWbju66f6+OXSq1n/fr12H333TFz5kz06NEDS5bkD7mlgV5bn3O9r9RGpX5iUb/60UpVUuoXXT/VduiF2AUz+ZQXgd89UprmtXuIHUv29e4VVnGnYUBH1S/44WpYGeQYevbsqZgtvrftudIr89KNgW1PBw4fMRYTD5hY8Qz4OB8ARKfvZsio+tVr7U2PFWmg12vLYblJgARIgARIgARIgARIoImA6UmFbiFcnxTq5mc6fepnWoFk+Rf0e2PpGxhz/xis2bAml6AOEz3O6vNCrdJeha6qWy3lSkY9vdjsf+mxNJGS6/q5Pn6p1Gauv/56nHXWWdhuu+1wyCGH4KqrrsoFp4FeW09zva/URqV+YlG/+tFKVVLqF02/MAPaP6Y9+KYReP8GYNPVXppzNgN2PAVYtVFpPmEGdtxxaxz9gh8AhBn4+921H1o+OhUP311a5lt3AU4+qHweoTrHvZYPa6Mp4VaoOPrVY81NjxVpoNdjq2GZSYAESIAESIAESIAESMBHwPSkQrcYrk8KdfMznT71M61AsvwL+t392t1oeL6haKDLVNM00ZO8JEtrFXpYnZKULRn9aLHl7s9PPQXcfz8gdoRGx47AgAH5/7bcch06dfpE/P914r9uaNWqVbREGcoKAq4/P10fv4Q1osbGRuywww5YsWJFzjB/8sknMX78+FxwGui1dT3X+0ptVOonFvWrH61UJaV+0fWrtmJ84nc64pQnV5QkOPpo4Imt8reCY++giV7LmDWufoXV4VG2c7/3r8AP3izls8fxwPP9vHsq87zwa9yPAaIr4U7IuPrVW81NjxVpoNdbi2F5SYAESIAESIAESIAESCBAwPSkQrcgrk8KdfMznT71M61AsvylfjPemIGGxxsw+4vZJQa6THlY72F4YcELkTIZtoUI+5E6bJIXZJVWodtQvkhwYgZatUqcL/nvvGn+4IPA8uWVE2jdegMOP3wDrryyJfr5XlrGzJbBMybg+vPT9fFLWHM58MAD8dBDD+GYY47BHXfcgXHjxtFAT9i3XO8rCfFYH536WS9RxQJSv3j6hRnPv/zrqfjFUROxsfgwsnD9aUfgqB/k/1Vt2/Zatz2vRb+o27n3+Qx48yZgk/wGVrnr1Z7AkJOAdeKbzrFD8tu5y6vaxwXxKDef0LXoV090TI8VaaDXU2thWUmABEiABEiABEiABEhAQcD0pEK3KK5PCnXzM50+9TOtQLL8C/r9bubvMOGVCWUGetzUVavWa1ktE8xXtQo9rRXy/pd7ceubdvgNGwCx87Mw3IDPP4+fetu2ENtGAw0NECvT48dnjGwJuP78dH38omot99xzj/iY5XB06dIFb731Frp3704DPYVu5XpfSQGR1UlQP6vlqVo46lcVEYLmdtAslmPW/3fTVPzM953p2hbAduLM8Dld8+lXWqnt/616aUpD1KpflO3cZU5LLmvAr/9VmufZ4jz3B783EO+d+V7uB5rncVXzwteqX+05ZhvT9FiRBnq2ejM3EiABEiABEiABEiABEkidgOlJReoVCiTo+qRQNz/T6VM/0woky1/qd8MTN+Avr/8FPbr3wMNzHo6dYJf2XbB8lbdEOmhsJ1l9XihMcCVMWuZ5IZ00TP7Y4AIRvvgCOO444L77kqYEdOsGXHqpOIfyZKBNm+TpMQU9BFx/fro+fgm2ik8//RTbb789Fi1ahNtuuw0nnHBCLghXoCfvP673leSE7E6B+tmtT7XSUb/KhIJGcyG03zTeQqzUfu+3QLt1Xlp/GAyc8P3StHVsd55Ev2rbucvSX/PkFfh/P74IOy/26rJCjD23Fx8HnH7ohNzNhmniy86mK/gxQK0r66u1W1d+T6JfPTAwPVakgV4PrYRlJAESIAESIAESIAESIIEKBExPKnSL4/qkUDc/0+lTP9MKJMv/6XlP4+f3/zyXiNzCffRWozF1ztTYiQa3b9dhTBdeUKZtnhcqm4bRHxtcU4Q3xfmRhx4KsWI1PIUhQwCxMzTkKvW5cwv/bcBHH8l7YhmT4tp2W+Cv4nzKnXeutWSMp5OA689P18cvwbZx0kkn5YzzPfbYA8888wxatMj3yzQMdMmy0rVw4UIMHTo0F2TevHno06ePzqabedqyryxbtiyXbzfxhVCrVmJvYF51Q4D61Y1UyoJSv3D9nmt8DqP/OLoY4PLvXI6f75EfV8vr18/9GhdNvwi/fWgdxs5cX7y/WjzCvnlGa3ywWfn4zZ9GIf6FIy7ERSMvqqkhJdWvUIZC5qo6PjTlAjz1B9/XASLw/du3wOE/bl1S5jA+SepXE5Q6ipRUP9urKsc3/fv3zxWzsbEx8/ELDXTbWwjLRwIkQAIkQAIkQAIkQAJVCLj+Atp1A8H1Bk796lthqd/4R8Zj6ntTi2egxzlX3F/7oLF98/4349TdTk0VkNxq/rRHTkucZtDwT7I1ZtLCiB2fcfzxwMqVpSlJ723kSOCQQ4CDDwa23LI8J6nfm28uE9u+b4IpUzbGWrkfaODq3BmYKr6JGDYsaUkZP20Crj8/XR+/+NuDNMxHig4rjd1Zs2Zhxx3FwbZNVxoGesGMj9IGX375ZfTu3TtK0LoJs379enz2mVjCKa5O4nyKli1b1k3ZWVCA+tV3K6B+lfW77437MOXVKcVAx+x8DH6wQ/5gc/nbY9NvxX1XvYY268QXkE3XfXt0x9U/7J/7lwwvr7A03lj6BnbovkPNjSiJfjLvhse91eP+uhXqVyj3BX+di4NfyH/oVLh+dsLWeG4HMRBtqmeBSzCu/PeEfSYkqmfNgCyPmEQ/y6uWK96CBQswRH4lLC4a6PWgGMtIAiRAAiRAAiRAAiRAApYRcP0FtOsGgmXNKfXiUL/UkWaa4Pjp4/Hw7IexS69dMPndycUz0Lu0E9uyf+Vtyx61UDpWngfzTvs8dFPmufC+ce65wG9+U053s82Au+8GxoypTN7f/z75pDsuvLAV7r+/PM4mmwD//CcwalRUJRkuCwKuPz9dH78U2sjq1asxaNAg8THLmzjnnHNwzTXXlDQfGujJe5PrBkJyQnanQP3s1qda6ahfNUJ5ozxogMtY8l7QWP66dQv84IKdsKTzRjnz3G+2h5no1UsQHiKpfne/dnfuqKdK5rnMvdPKtbhnwmvYTPxv4Wrs2haHn/ctHDnkuGI95W+VPjpIUlcX4ybVz3YmNNBtV4jlIwESIAESIAESIAESIAHLCbj+Atp1A8Hy5pW4eNQvMUJjCcgzB/e+Y28M6jgoV4Zaz0APVmDskLGYeMBEbfVK8zx0U+a5hHPGGcBNN5VjGizOxJTnoA8YUB2hqv89/TTwv/8LvPJKafx27YC//x3Yb7/q6TJENgRcf366Pn4ptJKCQd6vXz+88cYb6NChQ0kDSsNA5xbu3MI9m6eSnlxc34JYDzV7UqV+0bQIbnUuY221fANev3EtWnu7t+PGYS3x8/1bYd+t9sUDRzxQkngwjWlHT8MeffeIVoCQUGnoJ7eq95dDta27zP6d31yA3/+jdCv307/XEv3Ou6q4tX21LeETVdbByGnoZzMWbuFuszosGwmQAAmQAAmQAAmQAAnUAQHXX0C7biDUQRNLVETqlwif8cin/fM0zHxvZq4c8gz0XTbfBS8seCFxuXSfJx52Hnqc89FNmud33AEcd1w5Znnv5puB9u2jSRDW/778EviB2D1Ubt3uv9q0Af785/xvvMwTcP356fr4Rbagt956CzvvvDPkKvQHHngABx10UFnDSsNAr9ZaXWftel+ppm+9/0796ltB6hddv6ufuRoN07wtz+8QuwId86oX/0txJPhW4iPHxR3z91Rj0UIal+51KcaNGhc985CQaesXrKO/DvvdOQaXXPAYvv2hV5iFYhekb5wJXLLfhNxNPx+TY/HEYDNKIG39Mip25GxMj194BnpkqRiQBEiABEiABEiABEiABOwkYHpSoZuK65NC3fxMp0/9TCtQe/7ShL7yqStx/NbHY9aiWcUz0OOkqDKs03rhV60cpzx0Cia9PKkYLI55LiOZemn30kvA8OHA1197Ndxoo/xq9BNOAOTZ51GvSv1Ppv+Tn+RXnfsveXSwNPB/+tOouTCcLgKuPz9dH7/IdnHyySfj1ltvxVZbbYUrrrhC2VTuvfdesauE2FZCXBdffDF22CF/lu2BBx5Ytlq91rbmOmvX+0qtutdLPOpXL0qpy0n91FzkjkjD+4kBXeAqGMzbLgX++zuglXf0Oa4Vi8nvO24YXvjI+1hVNR4NS7uWlpSmfpXM88Jve80FnvSOhM8VuWE0cPWI0tLrrnctrGyMk6Z+NtbP9PiFBrqNrYJlIgESIAESIAESIAESIIEYBExPKmIUtaagrk8Ka4JSR5GoXx2J5StqYRv0Ni3a5LZwD56BHqdWQeNa9+pzWba0tnHPoqx+lkuWALvuCjQ2lhL+4x9rM7Sr9b+14hhKuar9rrtK85MmvVydvu++cZRm2LQJVNMv7fyyTs/18Yvkeeyxx2LKlIBTEBH03Llz0b9//4ihKwdznbXrfSWVRmBxItTPYnEiFI36lUMq7IQU9jHmfnfth59cOxU//Y8Xd4XYBejY60bivmVPYfSA0Zg2d1rxR50fdaalX3Ds7S9z0Fh/9E5gzByv7p+IY4TkyvtPm3ZYymLlfYSmXRdB0tLP1sqaHr/QQLe1ZQTK9dVXX+G1117L3e3evTtatxb7efAiARIgARIgARIgAcsJrBVv5pcuFZ9Wi2vHHXdEO3nAKq/UCZieVKReoUCCrk8KdfMznT71M61A7fnLl10XP3FxKmegF0z0rFafy1qHbeMelYh8efn40Y9HDZ443Jo1wHe/C8yYUZrUmWJbyxtuqC35KP1vvTh389RTgVtuKc2jW7f8Oel9+tSWN2MlJxBFv+S5mEvB9fGLJEsDPZv25XpfyYaiuVyonzn2aeRM/UopVjKSZUg5vr7uHw2Yfx2wke/s86tGtsAFe3vL0ccOGVuyk5IuEz1N/VQfDgTNc8lg8AJg1q2l3CbsCZwvxsFyzvDoUY+W/BhMI+sPXNPoJ7rSSFM/XWVMkq7psSIN9CTqZRh35syZGDp0aIY5MisSIAESIAESIAESSJfAiy++iN122y3dRJlajoDpSYVuGVyfFOrmZzp96mdagdryL2wNec3T1+Del+7NJSLPQF+zQbi8NV7yReDEAybWGLu2aMFt3P2pRNnSXdfLSlVtzjoLuP760l9GjgQeFx6+PJu8litq/9sg3tf+4hfAb35Tmsue4mXm9Om1519LmRnHIxBVv3pl5vr4JaouPAM9KqnwcK73leSE7E6B+tmtT7XSUb9yQmFbmRfuX/IkMF78V7hWibWSfc4Glm+cv1MYf1baEr2aLlF/T1s///byqvLLcslzzv/8N+DH/y1lMFB8NLpw09JjlLJgEJWVjeHS1s+2OpoeK9JAt61FhJSHBnqdCMVikgAJkAAJkAAJhBKgga6vcZieVOirWT5l1yeFuvmZTp/6mVYgfv7+1SO/+PYvMGnGJEx5dUpkA71L+y5Yvmq5MuMsV4wEVwD5CxQ0zzu37YxPv/7UWJnlFurBM8flym95HnrPnvE1LMSI0/+kiX7wwcCDD5bmd845wDXX1F4GxqydQBz9as/FXEzXxy9RydJAj0oqPJzrfSU5IbtToH5261OtdNRPTSho/BZWlLcRx+d8ID6Y3HyFF+/3g4ETv5//d3AFtu7V17r0q3Ye+u/vacCbNwGtfWfATxTHGJ16QJ6D/IhAXtJsL1xZfthard3b8rsu/Wypn+mxIg10W1pClXLMmzcPAwYMyIc64UWg4+alMT5XJPBlSKJfKe6vCwkrHuiJrrYhscN2b236yqokVoeQNMTXSGVXl5CwqvvdQ8J2LwfUuccnysDdWi1T3t8M5eG7QR1WdX8zqF82dcPHZfmFhe2E8kahKpdMsBM+U9ajA1aW3W+/bpUybLuV5Y2lTVgb9G1PU0wsTlsLO8GgpVrTDYp2uGpjcaif4lrRdpOyuyuhboSfCXLB63OoGqb4ghCblYX9BOoG+4kirIy8DGIPxcCVRtilKO8MnywtL6/MesNSRSdVN1dZ6fJL9aySocLulzdB4OuQvqu6n0a7Uj3HVM8qWayw55VK6jjPq16qBzfQZfPyZ0J35LfKDl49sbjsXm+IPZMUVw9FWBlsC0X4zbFQmYYq7d7r1Pl1nK8Qan6IzoHzQHOhPgoJG3a/HAVCqowN5YixSP1uXUk+JCh886Ri4VX35I9q9cPvh9CIfFv1iA37s13+xBRDlEBO8lHws6Z7aZ7jGLlCzSSg6UmFbsyuTwp18zOdPvUzrUC8/IOm89V7X42jtz4a46aPw+R3J0degT5si2F44aMXSjLPcvv2QsaFjwH8BQma52GrfApxdL+smyPOgBSnnGCVb6rVVoxBn34aYueWePoFQ8ftf5+IqewuuwDiFUTJ9cADwEEHJSsLY8cnEFe/+DmYjeH6+CUqXRroUUmFh3O9ryQnZHcK1M9ufaqVjvqFEwqayAM3G4jdnpqDP99XGmfnscB/enn3gmPPQjo6xtI69Iuyjb00xif9Ezj5Za/ea8Xr+u1PB97rWs5U93i8Wju39Xcd+tlUV9NjRRroNrWGCmXxNxScJdyDToFDyFRv6OO8iQ8zmeKYT6ryh71xj/MmXvV2XubVWZFhub+YD6S67/ujVJKSwqjq0kvhoIhIPVupXBigq8LoVplXMt8eWFJWka4hZnvPGGE3Q3mjUJUrj1Jt8XTEF2Vl23id2hVvv6J8K8c2KvNTpqj6YCNOWwsz0FupO9EGRXv7soPabf+ibdD6gaBQfk/m9KmiEaruybDLRKsIXh8rGyZE61GMEkTkxShfeqIt7GJ1GdYvUjjE6m9DZKXLrzA3MY7LGMdNTKNdqZ5XYc+lsPuqZ1Cc51UfdaW7b1H+/Ah71qgM7b5QudHiK9gQY72fInxYGqr7fdep89v0fcVWsHND/iiq7oeZ7WH3VT6+2tvHhnLE+CjkoxHVX4Sw70tU34yUP3HzDNSfLYXfDyEX+bbqEds+JLbqk6HgPfkoOLopfmNjozhHlQepRhYjRkDTk4oYRa0pqOuTwpqg1FEk6ldHYjUV1b/teZsWbdAwuAFT35saeQV6ocZBozrL1eeFMgRf4IWZ54XwqnMa5W86yy5XfUuD2n9Nngwcd1zytlNL/5Or3uXW7atXe/l3FvPvWbMgPuxPXiamEJ1ALfpFT918SNfHL1EJ00CPSio8nOt9JTkhu1OgfnbrU6101K+UkH8Lc/lLcGz57O+BPT704jzVD9jreCD48WnQMA6mW02XqL/r0k91HnqQR2/xcuy93wLtfe9v//wt4Cc/LC19ViyiMrMpnC79bKmj6bEiDXRbWkKVctBAVwCigZ6DEma200D32gwN9DyLWGY7DXSvAdFAL7KggZ5HQQPd6x400O0ZSJqeVOgm4fqkUDc/0+lTP9MKxMu/8LKrYDRLA31Qx0HotUkvTF04teoK9OD27YV0dKyYiVqzYJ0K8cJWsgRfdI4eMBqPHy0OItdwyfPNv/vd0oRPOgm45ZZ0Mqu1/918M3C6WAHkv3YV22o+8wwgV8fzyoZArfplU7rkubg+folKiAZ6VFLh4VzvK8kJ2Z0C9bNbn2qlo34eoTDTeL+79sPUOVOxi1i88fKtpUQPOwxYcdCY3O9yzDlt7rRigCxWXevUr9rHBLKitzzdGSdNK11ZNfhkYHbTBsxZrsav1tZt/F2nfjbU1/RYkQa6Da0gQhlooCsg0UDPQaGB7msbXIFehJF4tToNdK9h0UAvsqCBnkdBA93rHjTQIwziMgpielKhu5quTwp18zOdPvUzrUD0/FWrtae9Py1noMtr9hezqxroMlxwBY0883HiAROjF0RDSP+qepl8tReSlc5tTKt4a8Vqm0EC7X//66XYXZyu9M47Ypcw1Xy3hoxr7X/yPPQjjgD++tfSTM84A/itWCnEKxsCteqXTemS5+L6+CU5ofRScJ21630lvZZgZ0rUz05dopaK+uVJhW1b7h9T3n4/cOyrHtkPxaanY3+7Lx7+4F/Fm4Wz0gs3qo1Zo+oUFi4r/cJ2edpMbHb7vhhbdvZtvvn37YAf/DhfYn/9dZ8Hn5SlifhZ6WeibjJP0+MXGuimlI+Zb4mBfk7CLdxVW7vH2cI9LKxqz9ewrbbjbO0e9uJAdT8sbKwt3MWbgsC1SS/1HtU9Oij29hVxVVsoh50prDrXXLWtuyySKt2wbdlVZ6vH3cJdtbV7x5XqswHaqbZrD9vCXdWGws61jtNXwlZCqNpbSNiVncq3dldt6y6LpdraPWyVt2prd9WZ5jLdJWJjf9WlCh8WVmWgx0p3pboMKxYpOtMi9Xnyyi3cw7Z7j7O1exrHU8RpV6rnWNwt3FXhY23hri5wy17lnax3z+jnmodtv9475Fxz5bbsIdvA90f5Xuth+fVbXn5ue4v3Q0SKs4V72DbwKkTq3eWVZ6N/rn7040PFcyxsC3fV/bCwcbZwV2yGnwOZ9DSDsC3cVfeDpro8BOW0Jjm5hXuch0+8sKYnFfFKGz+065PC+ETqKwb1qy+9gkbzHr33wJqm45qiGuiyxjZs314gX+0cxjCFdL+kU63yvlWsSjrxxPTaTJL+94U4X0auOpeGvv96/nlg993TKyNTCieQRL964Or6+MUmDVxn7Xpfsakt6SgL9dNBNbs0qZ/HOjh29Jvh3cQrvMbfAO18R5teMroVLhvh3SiYxbrHoP7WkYV+qg9TZRnkOejyOv8p4MonStvs9uJF0lviw1J5SS7+8IV75w0/L7uGbmlOWehnsuqmxy800E2qHyNvGugKWDTQc1BooPvaBg30Igwa6E0o4riGYc9kGuhFMjTQ8yhooHudhQZ6jMGc5qCmJxWaqwfXJ4W6+ZlOn/qZViB6/qqtzuUW7sO7DseK1SuqrkC3cfv2Qu3DttSsRqfwwi/tLeg/Fl+Ybb018MknXgnkanR5/nirkJ21qpVV9XvS/vef/4gdBYYBX/lWBQ0eDMycmW45a6lbc4iTVD/bGbk+frGJv+usXe8rNrUlHWWhfjqoZpcm9StlrToKSG7Lfs3MzjjnYW8F0ddivNf3LGBp06IbU1uV69av0oesBVYdxTjzg+uBzXzjzdvFuPj4g9XtWPeq/Ox6T/KcdOuXvITJUjA9fqGBnky/zGLTQFegpoGeg0ID3dc2aKAXYdBAb0JBA73YJlS7YHAFuu/5wRXoRRiqb0a4Aj2zIV/NGZmeVNRc8IgRXZ8URsRQt8GoX31Ip9q+XZ7FWDgDXdYiygp0G7dvLygQPIcxqjK1xquUvtwK/aabSkPMmAGMHBm1VNHCpdH/rr0WOPfc0vxuvLH8jPRoJWKoOATS0C9OflmHdX38kjXPSvm5ztr1vmJTW9JRFuqng2p2aVK/ctZBE31YzyH423kvo+/nXtgpO4vt3A/J/1vu3PTo7IjgXwAAIABJREFUUY+WJaRjDBrMJAv9Kn3IWjgf/jJx9PtFT3ulWyM2iR14pli1H/CAaJ6XKpiFftk9TcpzMj1+oYFuUv0YedNAV8CigZ6DQgPd1zZooBdh0EBvQkEDvdgmaKD7nhXcwr3iCIQGeowBmkVBTU8qdKNwfVKom5/p9KmfaQWi51/2sq/3MMxaOCv2Geg2bd8evfbZhXz99fzZ5+t8W3j+6Efl542nUaI0+t8acUaMLO8bb3gl2lSc2fL220CvXmmUkmmEEUhDP5vpuj5+sYm966xd7ys2tSUdZaF+Oqhmlyb1U7P2j6t/8F/g3r+VhttVHNnz8hbePVPGcFb6qT4G8DPqLo7slKvQ2/ve5d4gdkH62X6VGWXxkUF2vSl+TlnpF79k6cQwPX6hgZ6OjtpToYGuQEwDPQeFBrqvbdBAL8Kggd6EggZ6sU3QQPc9K2igVxy30EDXPqzTkoHpSYWWSvkSdX1SqJuf6fSpn2kFoucvX0A9O//Z4nmEMmaP9j2wZZstc4lUWoEeNM0L/0576/PotbEz5IYNwHe/C0wTq2wKV7t24ozHt4At85hTvdLqf3J1/KhRpUU76ijgzjtTLS4TCxBISz9bwbo+frGJu+usXe8rNrUlHWWhfjqoZpcm9QtnXVhd/eTtwF4feOGe7wPscUJ+5bnc8alwmTDRTekX/HBXMvjtI8AZL3qcvhQvqLYU29wv66Bepa/rqKXsek/ynEzpl7zk0VIwPX6hgR5NJ+OhSgz088U+s53EU9Z/ecdneHdV9+SvvrMkioFV98LCxqGhegsv44fdbzrzoyQL1T0ZQJuBXl7BNr18+6v4fu7ZdbGShsqo6oklicP2RHl+YQZ6nLCdoW4sqvsdV4rPwRRXu88UN1eGNJavFffD2qBvVUbVphd2VqB4IVV2hZntncqDfiX+SKuuTzuUB/5U2TDFH3rxqUPw+hjdlOl+rAgrA8YxxVVhF6OHMr8l6Fl2XxVfBvp4cXk91i8KAbRIkZ3qngwW9rzS9WyLY6yrnldxnmGyfqrnmFp+KJtFWNjAnwKZVbs+y5U69+xU/gwK38Jd5TCLs5lQvs95WBqq+/0xT1k2VdjujepnDd5XJDE35OkQdn++IrzqngymQLFB/TjHRwr06r8SUP5FEEehKq8vQu6vUtxX3ZPBxMKxyFcbRciwJq/a2j14Tx7tel5Tmo2NjejTR9FwI5eOAcMImJ5U6FbG9Umhbn6m06d+phWIlr9/a0UZo2FaQy5i1C3cpVHevnX7EvN97JCxmHjAxGgFaCahHngAODhwnuMllwDjx+sBkGb/O/rocsN8+vRyY11PTZpnqmnqZyNB18cvNjF3nbXrfcWmtqSjLNRPB9Xs0qR+QKXV1d8SL4ZeCwyHf3IosPNZE7Bnvz3LPl7N2kQ3oZ/KPJcttp94D/zeb8X8Y73Xfn8pjje6dO/8v/1sgmk8fdzTGN5veHYN35KcTOiXZdVNj19ooGepdoK8aKAr4NFAz0Ghge5rGzTQizBooDehCPswgwZ6DhANdN/zgwZ6EQYN9AQDNoNRTU8qdFfd9Umhbn6m06d+phWonn/w/HP5cmrep/Mw6eVJkQ10mYt8cRVcwd5cX2apqK8XLwO/+c38avPCJb8rk//uEPJNanX1KodIs/8tFi+At90W+Mz38fQOO4idCWaLF52qAUTSwjO+2OZ/HZYuXZoj0b17d7RqFTbprU9Yro9fbFLFddau9xWb2pKOslA/HVSzS7O566c639tv7v5aLDA/+/88PRaKRTaDz98MZ408L/fhqeoj1CxN9Kz1Cxrfsq7yKny8e8f9wDGverw+EQvj+olV6CuaFsMFw8uQWfLKrmdFyylr/aKVKr1QpscvNNDT01JrSjTQFXhpoOeg0ED3tQ0a6EUYNNCbUNBAL7YJrkD3PSu4Ar3imIUGutYhnbbETU8qtFWsKWHXJ4W6+ZlOn/qZViBa/qqXWbfNug3zP50f+Qz0wssrbqeoZv7PfwIHHVT62913A0ccEU2jWkKl3f9uvhk4/fTSklxzDXDOObWUjnGqEUhbv2r5Zf276+OXrHlWys911q73FZvako6yUD8dVLNLsznrp/oIVa4qH3H7iJwArcTOqh9eB/TybbJ4hfjpotGl+pj8CDVL/VS8zhue37OwMH/YXuz6+MbvSvlM+H5XnD9YvW9jczbPJaUs9cvuqeLlZHr8QgPdhOo15EkDXQGNBnoOCg10X9uggV6EQQO9CQUN9GKboIHue1bQQK84EqGBXsNAzYIopicVuhG4PinUzc90+tTPtALR8ledfy5jRt3CvZBL4SWWaivLaCVxN9RIsQXl00979dtpp/zq7RYt9NU57f4nFkRj6FBg1iyvzBtvnF9F37evvno015TT1s82jq6PX2zi7Tpr1/uKTW1JR1monw6q2aXZ3PVTfYS6au0qjJ8xHqct2wo33VR6FuG24kPEd3xHNaq2JZer0seNGpeJiFnrp1qxLyvq5/j3vwCH+HZsWiBW7Z94w2g80jithElzN88ljKz1y6RR+jIxPX6hgZ614jXmRwNdAY4Geg4KDXRf26CBXoRBA70JBQ30Ypugge57VtBArzgaoYFe42AtJNq5556La6+9tvjrdHFY7KhRo9LNRKRmelKReoUCCbo+KdTNz3T61M+0AtXzDzv/XMaMYqAP3Gwg5nwyp5gRX2aVM3/hBWD33Uvv//GPwE9/Wl2fJCF09D9Zl29/G9iwwSuZrIesD690CejQL90SJkvN9fFLMjrpxnadtet9Jd3WYF9q1M8+TeKUiPqVmr+SXeE4pJHnT8IRr3s0Z/dri8HHf12CNzhuzvojVBP6BesY/Ahh6IfAC78vbYUnHQDctqt3TzXfyJpdnH6iK6wJ/XTVRZWu6fELDfQs1U6QFw10BTwa6DkoNNB9bYMGehEGDfQmFDTQi22CBrrvWUEDveKIhAZ6ggFbIOqrr76KXXfdFWvXri3+QgO9Nr6uTwpro1I/saif3VoFt1IcO2Rs7uzzwhXFQJdhh20xDC98JJzVpotnn5fq/qMfAX/7m3dviy2A98WCpI020ts+dPW/sWOBW27xyt6yJfC6eEG8/fZ669PcUtelny0cTb8UtYVDFuVwnbXrfSWLNmIyD+pnkn7yvKlfnmHQBN5UvJNc9Cugvfc6AKftD/xO7OQTvEx+fGpavyC30QNGY9rcaZh2B7D3PI/Ue5sB254BrBdjThWv5nqElGn9kj9BKqdgevxCA123wimlX2KgX9QIdO5TmvKnioxU92Qw35kbxVhhJpPqvu+hX7V6rUNChN1vpwgvtuhQXhka6OilBtR9C3Eoh+LqicVld3so7slAPVGehiq+DNsjVtjyMnSD+qyQMBO+M8obUefPVA1IrEz5XAFiZYh2qiRKP77zIsZpb2ENUtWu2oYE7qC4r7ongq3sKv5iB65P26oaJgTJ8vvL4Nuvx5fOx+KzCNW1WLSA4LVEtCDVtQC9y26r4stAqjRUBnwu7MryMqz4sLsa5iLFbdU9GWxZiB5Jn23q5gqo2lWctqZqU7IKce6rmwqUzULdVMQhSgpugT8PhRCb9FlaFnjzDguU4PtC/J1RXL2xsOxuf8xVhu2nSCMs3f6YV5ZG36/VZejw7vry/Ep3w/J+VycBZZFVprpMSYVIjQ2fK+4vDnm2lT+hEfJXAvgipHuoHrurQsKG3Q8JXnZbZarLQKo/5+0DsWU3vrTpXmNjI/r0CWmkUQtTJ+HWr18vVhrujpkzZ6JHD/EXfEn+7z0N9NoEdH1SWBuV+olF/ezXKvjiyr+iPKqBLms5ZuAYTJ0zFVluO2k/3bxRvvXW4oWfbxiT1bnhuvrfMjF+HzBAvF7wjbcPOwy45556UKR+yqhLP1sImH4paguHLMrhOmvX+0oWbcRkHtTPJP3keVM/j6F/TH2cOO5m8oPeb2vEa+TNfw58LN4zSwNYXg3TGooBTJnoJvULzkH8H/LuIza3+vedpe3z4MOBB8THmkFWwXSa04e8JvVL/vSonoLp8QsN9OoaWRGCBrpCBhroOSjhZjsN9GKroYGeQ0ED3fccoYGeg0ED3dcmaKBXHO/QQI8/HLz++utx1llnYbvttsMhhxyCq666KpcIDfT4LGUM1yeFtVGpn1jUz36tws4/lyWvZqBv02UbvLP8nWIl5YuviQdMtL/SGZbwzDOBG2/0MuzYERDflKFTJ/2F0Nn/LrkEuOyy0jq88gowaJD+ejWXHHTqZwND0y9FbWCQVRlcZ+16X8mqnZjKh/qZIp9OvtTP4+g3cqffDoz6wPvtH9uKc72PKDV/Veennzf8vHSEiZiKKf3C6l68L44KeulWYIhvLc8T/YHRx+YrVjDRbWAYEbWWYKb001IZRaKmxy800LNSOmE+NNAVAGmg56DQQI/QuWig5yDRQPe1FRroORg00H1tggZ6xYcpDfQIf2t8QeRK+x122EGsyluRM8yffPJJjB8/PheCBno8loXQrk8Ka6NSP7Gon91a+c8/n/fpvJLt22XJqxnoMkxh5Xmhps1p1Uc1dT8Wm4D16wd8+aUX8udi9dGvxJaeWVw6+9+nYpsZuQpd/m/hOkCcT/nPf2ZRs+aRh079bCBo+qWoDQyyKoPrrF3vK1m1E1P5UD9T5NPJt7nqFzxv238s0pafAPNuKOV7qDjOZ9gZE7Bnvz0xvN/w4o+mV0+b0C94hFTYivKjXgXuvL+U446niGODmjZkDR49ZWoVfzo9qbZUTOhXW0lri2V6/EIDvTbdMo9FA12BnAZ6DgoN9AjdkQZ6DhINdF9boYGeg0ED3dcmaKBXfJjSQI/wt8YX5MADD8RDDz2EY445BnfccQfGjRtHAz0ewrLQrk8KE+KxPjr1s1ci1cur22bdhjmfiD0Tm64oBroMyu3b1TpfcQVw0UXeb63F+SdyS/e+fbNpF7r735VXAhdeWFqX55+HOMYkm/q5notu/UzzM/1S1HT9s8zfddau95Us24qJvKifCerp5dkc9fN/gOpfMV64f8ur/XDS/d6LpuXi3fQ3L94MPxt5Xm7b9uBxRybP7zalXxhD2TILPDYS72/nXyf8D98xsbfuApx8kFiJ3nRWeqElN0fzXNbdlH7pPUEqp2R6/EIDPSulE+ZDA10BkAZ6DgoN9AidiwZ6DhINdF9boYGeg0ED3dcmaKBXfJjSQI/wt6YpyD3i8NfDDz8cXbp0wVtvvYXu3bvTQI+OLzSk65PCFBBZnQT1s1qe4guqsFJGNdBlfG7fXkrxq6+A/v3FONx3utaRRwJ33ZVdm9Dd/+QZ6FttBSxd6tVp9Gjg8cezq6PLOenWzzQ70y9FTdc/y/xdZ+16X8myrZjIi/qZoJ5ens1Nv2qrp2fMfRK9h+6NrZeJPcibrom7AqeKXXr8V3DHpuCK9vQUqpySSf1UdQ6uyB83Hbh0hleHL8XHqH3PBpZv7N1rrua5JGBSvyzaqOnxCw30LFROIY8SA/0ycVjaZn1KU12myMS3jVrJr6r7YmKvvFT3w8LGqafK0JTxVffDwiY10LuFFLiX4n4f7w+e/9dNeqnAAz06LClLpDcWKDNUGeA9UB5fRlalEW6gl6fRFerydoPYV1BxdVXc7/yZeEOiuNosV9z0fR1W8qvqfljYpEanzFj8YS272obo30Fxf5OQsJuW31/ZtaUy8KdtyxvsMnRVhl0iPotQXYsV95egR+SwYQb6QtGygpcqLxlmgSLs0o/UZcAiReddFMIy7L6qyaqbMaBqmurmCqieY6q2Jouruq9qU2FtTd5XtaGwdqV6tsV5XqmeYbIMiudYl/7q51LvVur7fSH+/gQu1T0ZJE7Y/phXlm5/zFU2ln7LfW9nm0K0EKu4lNe7IffLqyGWgsUIq8YjO0h5X1I/zsUHLYqwIUVQPV5lUNX9VSFpqO6vCQkb57bKWA92j89EgvnTv+V5r43o0ycwhomToeVhPxV72G6//fZYtGgRbrvtNpxwwgm5EnMFenLhXJ8UJidkdwrUz259Kp1/LkteyUCXq85H9R+VW0lTuLh9u6f3H/4A8begVP9Zs4DBg7NrE1n0v+vEyqCzxYtM//XEE8B3vpNdPV3NKQv9TLIz/VLUZN2zztt11q73lazbS9b5Ub+siaebX3PUr9K521dcexAuPLf0PJs9jgeeF0f6FC6bDF+b9FNxXfjOLFxz4j3YaL3H77x9gGuadsEPY2nqg4R0e1f11GzSr3pp44cwPX6hgR5fMyMxaKArsNNAz0GhgR6hS9JAz0Gige5rKzTQczBooPvaBA30CA/T8iA00EuZnHTSSTnjfI899sAzzzyDFi1a5AKkYaDLsWCla+HChRg6dGguyLx585z7UEFOCpcty39B1a1bN7Rq1aqmNstIZghQPzPco+R6+VOX44qnr8Dl37k8F/yi6b69xpsSkAb6Th13yv3rP1/8B2s2lH6C5Y974YgLcdHI8jSilMW1MOvFS76dd26JN9/M/y2Q1957b8C//uV7+5dBpbPof6vEl3rbbtsSCxZ4dd1jjw2YMWO9+FuYQSUdziIL/Uzik+Ob/nKbBnG5/qGlSc4yb9MvoHXX33UDQTc/0+lTP9MKJMu/ueqnMnslyQ5nN+D0mR7TuV1bYavT1wG+MREN9PI2p+K5au0qjJ8xHvc9uDEOnfVlMdJ8sahtq/8Vq6/FawEVS5Nb4ifrTfFju97/TI9faKDHb5NGYtBAV2CngZ6DQgM9QpekgZ6DRAPd11ZooOdg0ED3tQka6BEepuVBaKB7TKRhPnLkyJyxO0ssL9xxxx2LP6ZhoBfM+ChCvfzyy+jdu3x3kShxbQ2zXjhRn30m9zMAOnXqhJYt1Tu+2Fr+5l4u6mdnC3hj6RtoeNxbOX7MzsfgtcWvYdYisUTad7VqIV76tRd7dIvr/VXvY90G8QIwcMm423ffHjt038HOyhoo1eOPt8VPf7pZSc5/+tNyYaKvzrQ0WfW/KVPao6GhU0nd7rprOUaPzra+mcLNILOs9MugKsosFixYgCFDhuR+o4GuVwXTL6D11s79LWx18zOdvusGkGm+uvNvzvoFTd82YhfLhb8Guvq2AbxkFHCZ+C942WKi26Cfyjzfs9+eGHH7iBy23cR6ghd/X0rwBz8C/t409fCzDKbl+u5YNuin8xljevxCA12nuimmTQNdAZMGeg4KDfQIHY0Geg4SDXRfW6GBnoNBA93XJmigR3iYlgehgZ5nsnr1agwaNEisMnwT55xzDq655poSWDTQa2peJZFcNxCSE7I7Bepnrz73vXEfprw6pWIBoxjoMgFpov9ghx/YW9mMS3bssZ3x2GPekUbbbbcGTzzxceYrsrPqf+JPIYYP7yZMUG/yteOOawSD7OucsdRas8tKP62VqJA4DfTsyJt+Aa27pq4bCLr5mU6f+plWIFn+zV0/v2F70FvAA38p5bnVmcDcLvmV0vLyH31kg4luWr9KZ8r72T5/G7D7Rx7bGVsCo47z/i2N8mfnP2sd32S9q3ps0/pVL2GyEKbHLzTQk+mXWWwa6ArUNNBzUGigR+iGNNBzkGig+9oKDfQcDBrovjZBAz3Cw7Q8CA30PJOCQd6vXz+88cYb6NChQwmsNAx0buHOLdxr6qSWRHJ9C2JLMNdUjOcan8Pzjc8rt24vJBi2hfu+W+2LkVuOLIk77ehp2KPvHjWVxaVIS5YA/fq1xNq13l6dkyatF+ehb8i8mln2vylTWuB//qd0h5AHH1yH/ffPvNrOZJilfiagcQv37KibfgGtu6auGwi6+ZlOn/qZViBZ/s1dP7/Je+9fgR+86fF8Wpx7PlKcf15phbRpE90G/cY9OS63VbuKxX537Yepc6biiP8Ad/+9tK0OOhl4dXPg0r0uRfvWYjekad7uWqa5JutV0WPboF/00sYPaXr8QgM9vmZGYtBAV2CngZ6DQgM9QpekgZ6DRAPd11ZooOdg0ED3tQka6BEepuVBaKADb731ljjjdufcKvQHHngABx10UBmoNAz0agKZnlRUK1/S312fFCblY3t86menQv4XVbKE/hdO/hJLA31Qx0G5W7O/mF1yBrp/JY18cTVu1Dg7K5txqa6/HjjrLC/T9u2BRYuATcV5jVlfWfa/tWLb0m99C3j7ba+Wo0YB06dnXWt38stSPxPUXB+/mGAalqfrrF3vKza1JR1loX46qGaXZnPST66WHt5veBGuf/V0R/Gucem1QFvfaUcnHgh849wJkNuR++PZtM24LfoF2UrIfk5ye/x5Yozde4XXtieLKcr/HAyMGTgmZ7IXruZinsv62qKfrieO6fELDXRdyqacbomBflUjsFmf0hyWKTL8NKQQqvu+B09JLNV98bBSXmH3VYFVhqYM5+1w58XaJCQ/1X2VqS6jq+73CklXdT8kbJs+nysT6dl1cdn9HsK+VF09IZYnBK7eWKAM2yNGWJWxroovM+oGVQMS57Xg47JydG06fzT4Q5vliiLnjyotv1ZGvCeDqYzO8mMXQzKqcLttyG+qNli6kNCLWHrEX/6+2JJHdX3etdxmWtaqqzLsx0IR1aUywJeITyjUYcvvL4D4JE9xLUT5ObmLQ9JdoAi7ZGUPZborPuxefl+cWaO8xAvFyPfDnm2qZhzn2aZqa7JQNjzb1E1Cdt7yK+zZFvizkYvYZ40Se/ctFyrv98X8svt9If4mKS7V/bCwAzCvLIX+insykCqNXo0hD5swU3yuosCqezJYeZXV92RYxaN7jRolPlQUufyvQb6c6r8egOov0BchXUkVNqxpq1tFSMKK28GnnayqmEPmLhfPtjz55JNx6623YquttsIVV1yhBHXvvffivvvuy/128cUXY4cd8gd1HXjggWWr1aOTLg1pelJRa7mjxnN9UhiVQ72Go372KafaKvHJeU+WvHgqlLqSgS7DyBdUwZeC9tU42xINHiw+Npjt5XnkkcBdd2VbhkJuWfe/yZPFi8z/Ka3riy+Ksyt3M1P/es81a/2y5uX6+CVrnpXyc521633FprakoyzUTwfV7NJsLvqFrZIu3L/hk91x5g3/VwS/WmzKs+1FnTD2u+fnPlQNfmxaMIdNf4Rqq37BjwykSb7r5Km4zPdh5letxHvCs4Flvnf3zck8l43NVv3SegKZHr/QQE9LSc3p0EBXAKaBnoMSZrbTQK/SKWmgFwHRQG9CQQO92CZooPueHzTQY49wmpuBfuyxx2LKlMrnB4dBnDt3Lvr37x+bsSqC6UlFKpWokIjrk0Ld/EynT/1MK6DOP/hSKqyU1Qx0Ga+5vaiqpKg0zqWB7r/+/W9gn33MtIOs+9/XXwMDBgALfR8RHnYYcM89Zupf77lmrV/WvFwfv2TNs1J+rrN2va/Y1JZ0lIX66aCaXZrNQb9K53RL0vL3lQfvj//3ires4ZFvAN87qlQHeU53cAW7/9/ZqeblZKN+wXlKYa5x5h2H49oT7ilZ5X/h3sCVI/P1kSb7o0c9WoZRtbrdBGsdedqoX5r1ND1+oYGeppoa06KBroBLAz0HhQZ6jR2PBnoRHA30JhQ00Ittgga677lCAz32Q5YGenRkNNCjs3J9UhidRH2GpH726VZ4iRTFRFcZ6PLl1Kj+o0q2fQ++ELSv1tmUSG7dLrdwL1x9+wLieym0EitkTFwm+t811wDnnefVtqVYgfXOO8DAgSYI1HeeJvTLkpjpl6JZ1tV0Xq6zdr2vmG4/uvOnfroJ602/uegXZupKulf86yL87IAr0MG3pd8JYvv2Pwzx2Nv6walt+oVxLqz0v+eh9jjspVVFsPPFEUkDfgasF+NNeQU527LSX1cvtE2/tOtpevxCAz1tRTWlRwNdAZYGeg4KDfQaOx0N9CI4GuhNKGigF9sEDXTfc4UGeuyHbHMz0KMA4hnoUShVDuP6pDA5IbtToH526RPcfrKaiR62Ap3nn5fruno1sMUWYhtJ39FCF14IXH65uTZgov/JU7/khwNf+M6WOfVU4OabzXGo15xN6JclK9MvRbOsq+m8XGftel8x3X5050/9dBPWm35z0k9l7kq6z9/UgH/81eO8rgXQ6xf1sbW4TfqFrfT33x/yEfDSbaVt+vs/bY0HB3oHFRY+7LXprHldvdAm/XTU0fT4hQa6DlU1pEkDXQGVBnoOCg30GjscDfQiOBroTShooBfbBA1033OFBnrshywN9HJkNNBjN6OyCK5PCpMTsjsF6mePPmEvpfa7az/l+eey5JW2cOf556XaPvAAcPDBpffkyuuttzbXBkz1v3POAX71K6/e7doB88W4qnt3cyzqMWdT+mXFyvRL0azqaUM+rrN2va/Y0IZ0loH66aSrP+3mpp/q49MpfweO/o/Henp/YO9jy9nbuArdNv3Czpr3c3/pFmCI77igf2wL3HLRmNx8pnCmfKUdA/T3iuxysE2/tGtuevxCAz1tRTWlV2Kg/6YR6NKnNKdFiow/DSmM72v4YogVIWFV972PeUojhZlPqqRbh+Snuq8yymV01f2wsN0U+anuyWC9FGFV93JhNygr0qX/grL7PVstVobtgSVl98NMcdX9HlCn2xu+vyJNOajORZc/haXRDR+Xla3ryuXKerRT3S6Pno8rViSUXStD2oQ4Q6/sCmtr60LSUG2XGNYGVca6eNmjvDop7qruyWBdysMu76FO+GOoG+dioVTwWoKeyqItEJ9WBC9VfBlGZaCr4suwcdJd9FF5GfBhCMwPQxirnm2qZ5iMrrof9hxUPdvCnoOqZ17YczCkGlBVO6xdxfk4KM6zLfBnI1dU1b3cfXUn67OF+PsTuMKeV31RHrY/5ikJxQnbH2IP1MA1YJ063U3f9+2d5Y/zrqIY5cnmA6kM9PKqhYct/3OQC/tl+aMfH4U8B9VPeUD12FU/oYHPFVX2Nrwq/VHVvENIKvWkgV6OhQb+sWVpAAAgAElEQVR62MMx+n3XJ4XRSdRnSOpnl27Bl0lyO3b5sinsChroo7caXRLexheBpogfcgjwj394ue+5pzgT8xlTpcnna6r/fSjG9/Is9LW+gcWllwLjxpnlUW+5m9IvK06mX4pmVU8b8nGdtet9xYY2pLMM1E8nXf1pN0f9/OPpNmKss+RaoLPvHfbp+4mdd4bltxOXV8O0hqIQto2dbdQv7Mzywke/J74E3PqQ17bXihX/W4pjlA76zlhMPGAimot5bnKsr//Jks/B9PiFBnpWSifMhwa6AiAN9BwUGui+tkEDvQgjjtFNA70JGw10rzPRQPdY0EDPsaCBnmwgRwM9Gb/mMClMTsjuFGx8KWM3Mb2lky+knp3/bMmLvEo5Bg30y/a+LBfc/yKQ558DS5eK3cHE96N+w/g2sb3kCSfo1bNa6ib737HHAlOmeCXs2hX44AOgQ4dqpebvBQIm9ctCBdMvRbOooy15uM7a9b5iSzvSVQ7qp4tsNuk2R/38Bu2+7wGP3VXKuo8wc884dALOG35e7gebDd160c/PcBPxscJCsdPRJr6XVRd/RxybtBcQ/DjYtg8W0u6V9aJfrfU2PX6hgV6rchnHo4GuAE4DPQeFBrqvbdBAL8Kggd6EgivQvQ7CFegeC65Az7HgCvTsBnM00JOzdn1SmJyQ3SlQP3v08W+JKEvlN8HDSqnawp3nn5fTuuEG4Gc/8+63by9e7IlNwTqF7VCVUbMw2f9efx3YccfSit54I3D66RlV3oFsTOqXBT7TL0WzqKMtebjO2vW+Yks70lUO6qeLbDbpNjf9gkciTfoncPLLHuv/2wKY8RfPPC/8Yut53PWgn2oHrUOum4qTZnncPxBj7q3+F1jf0rvnunkua1oP+iV5Epkev9BAT6JehnFpoCtg00DPQaGB7msbNNCLMGigN6Ggge51EBroHgsa6DkWNNAzHMhlkJXpSYXuKro+KdTNz3T61M+0Avn8Veefy/vVTPSwM9B5/nmproMHA7Nne/eOPBK4K7AayURLMN3/vvc94JFHvJrLbd3lufCtw47UMgHJ4jxN66cbjevjF9384qTvOmvX+0ocresxLPWrR9W8Mruun2o78cJHqZeNHIcTDxyHnr4j+S4c0wZXPLo6N/Ye3m94ibgFI7hwTrcNytuun2r1/p799sSLD07E2WfcXYJwPzH+nrp1/pZcif7oUY+W/B62NbwNOtRaBtv1q7VehXimxy800JMqmFF8GugK0DTQc1BooPvaBg30Igwa6E0oaKB7HYQGuseCBnqOBQ30jAZxGWVjelKhu5quTwp18zOdPvUzrYCXf9zzz2VMv4Heo3sPPDzn4WKCzWFVRxT1pHEuDXT/9e9/A/vsEyW23jCm+9+MGcCoUaV1/MtfgMMP11tvV1I3rZ9ujq6PX3Tzi5O+66xd7ytxtK7HsNSvHlXzyuyyfv7dmwrbsRdqLs3Yp+68HBdc9FiJgAPPBLbZbQymzpkKlVFum4lrs34q83zV2lUYP2N87nz5/Y+4BDt+uLrI//7tgEN/7Mnhn6vY+PFCGj3fZv3SqJ/p8QsN9DRUzCANGugKyDTQc1BooPvaBg30Igwa6E0oaKB7HYQGuseCBnqOBQ30DAZwGWZhelKhu6quTwp18zOdPvUzrYCXf9zzz2VMv4H+w11/iA0tNvD884CkZ4lzLq+/3rvZty8wdy7QqpV57U33vw0bgGHDgJkzPRa77Qa8+KJ5NvVQAtP66Wbk+vhFN7846bvO2vW+EkfregxL/epRNa/Mruqn2r3Jb6JLQ7btLxrwsxc8FrN7io8qTynV8+njni5biW6T4rbqp+IvV56PuH1EEd+tC4bgxFu9/fPXthAfL5zTFnM3FoekN12S/7Pzn3V2/mKrfmm1cdPjFxroaSmpOZ0SA/3mRqBrwAlZpCjAspBCqe6vCAmruh8Wdq0iDdU9GSxsuzbV/XYhZVPd7xwSVnW/W0hY1X2V8SSj91Kn0abP52U/9O66QBm4JxaX3d8c6rC9IQ7RC1y9Q8LGSbcnlijLpjLnu339sTJshyXry++rgwKfKZJQ3ZPBvL93XiTVPfnrVzE6Ypw22CEkXdX9sDMOu5SnsaGrOt1lXVRfh0Co1KMswmKIkZniUhnoqvgyqiqs6l542M2VZVi4snfZ/RXzuqsr/WEIY9WzTXVPRlfdDzPQVffDnm2qdhWnrcmyqdpbWBuM83GQ6tkW8lxCnGdbf7UeLfv49qRqCtK3p/ibpLj6ovy+6p6M2h/zylIYAPHWOWK6qvi5dFd+oEyjnSpplakuY7+vSEJdZWB+jLDlj358rH70Y3HIx0GqJ3fYY/cLRdHK/1LlA6mM9bA/5yE9t+S2fLxf23SnsbERffqE/VGNkhrDhBEwPanQrYzrk0Ld/EynT/1MK5DPv5bzz2W84Bbul+19WS49ufW7TdtPmqK8Zg2whTjrculSrwQXXghcfrmpEpXma0P/u/de4LDDSsv1gnjZPHSoHYxsLoUN+unk4/r4RSe7uGm7ztr1vhJX73oLT/3qTTH7xhq6CKpWQEsTPXf/8QZ8cB3Qz/dy5cb9u+HMoZ75otpGXFdZa03X5v6n2gHAr0lH8X52wa+BTcR4vHBd9B3g5eO9HQDat25fYp67toOWzfrV2ib98UyPX2igp6FiBmnQQFdApoGeg0ID3dc24piaNNCL4GigN6Ggge51pv7qP2w00Ju40ECPNfKhgR4LV82BTU8qai54xIiuTwojYqjbYNTPvHS1nn8uS646A53nn3uayq3a9923VGN5xvfWTecvmlbfhv63VnyJN3Cg+NbQ97Hh0UcDU6aYpmN//jbop5OS6+MXnezipu06a9f7Sly96y089as3xUrL67p+YUcg7fqR2GHntlIW3zwVeCOw/sl2w9Z2/SqdJS/p3/IgcNIsT4d5YnHbwP8V93Ybi/6d+zttnsta265f0qeb6fELDfSkCmYUnwa6AjQN9BwUGui+tkEDvQiDK9CbUHAFutdBuAK9yIIr0PMouAI9o0FcRtmYnlTorqbrk0Ld/EynT/1MK5DPv5bzz2W8goG+S69dMPndyVizIb/Ew/aXgVlRP0Vs0zlpkpebbduT29L/JkwAzj/f47TRRsCHYheq7iEbVGWln+352KKfLk6uj190caslXddZu95XatG8nuJQv3pSq7yszUG/4DhaUrhKfETZ8KzH422x0+h2p4t/i23E5cpzeQZ64bJ53FyP+vn1GCI+ZHgp8CHDfkcCUwMfs9qsQZInQD3qF6e+pscvNNDjqGUwLA10BXwa6DkoNNB9bYMGehEGDfQmFDTQvQ5CA73IggZ6HgUNdIMDOw1Zm55UaKhSSZKuTwp18zOdPvUzrYCXv+rlX7XSSQP9+K2Px7jvjMMf3/0jznvivGIU2890rFa3pL+vE8esyO3bF/uOZpFG8XkeoqRZJI5vS/+TW9zLU1xWr/aqdOWVpaZ64so6mIAt+ulC6/r4RRe3WtJ1nbXrfaUWzespDvWrJ7XKy9pc9Nvvrv08U3wD8O5NLfCNj8X/abquGg5csI/3kWnY9u+2qV1v+pXNZ4QEL98C7OI72vP+7YBDf+yRdtU8lzWsN/3itn/T4xca6HEVMxSeBroCPA30HBQa6L62QQO9CIMGehMKGuheB6GBXmRBAz2Pgga6oUGdpmxNTyo0VauYrOuTQt38TKdP/UwrkM+/sP1hXBO9sAL9mJ2Pwdi9xuJXz/+K5583SfqsWHU0XLws9V9vvw1ss40dmstS2NT/jjkG+OMfPTZ9+wLvvw+0Djteyx6Mxkpik346ILg+ftHBrNY0XWftel+pVfd6iUf96kUpdTmbg37B45C+KT6efH1iKY9dTwQOO3oC5BnphSs47rbx49N60k/1UcK8T+dh/S2TcMtDnh5rxS4A/c4CFm6av6cy0FVbw9djT6wn/Wrha3r8QgO9FtUMxCkx0H8vDl/tJj7d9l++L2yKt1X35I/LFBUIM5lUZwLHOSdYnHUW61JNnFVGuUxUdX+TkNw6K+6rzCQZTHW/V0i6ARmKofrktzX0X136LFEm0rvVgrL7Yab45lCFXahMtyd8yyCaQsRJV0bpifIyd1U2IKDLEoV7ra4y8LGiyPKQXNW1UnFTdU8GEytAlFecdqhqg21D0u2guC/OWVFeqvuBM3EK8b4Kuf9xhy5lSS8WKqmuBdi87PaS0LC9y8I2QrzNUlzq89LL85JRVWEXfVSeVy6bD0M6+jxFIcKebar7quedTFJ1P+zZprof9rFG0rYmyxbn2aZ65sV5toU+w0LasSJ8u28sVwbu3an82dQX6sPD+2NuWRoDoBIfomWWp9E/JKwqXZnRgOXljaWFeHmrvN5V3A07A12VRljY8sc5FI/cXOYflz/Oc/c/Ujzz1GqoH7tfhFR5leK+6l5IdAT/AsrH+1VNgRsbG8Xqs7CGF5Yi70chYHpSEaWMScK4PilMwqYe4lI/8yqNe3Icxs8YX3x5VLKCpkLxtumyDeZ+MheDOg7Khfrhrj/EuSPOLZrx5mtmtgRnnw1cd51Xhm99C3jtNbNlCuZuU/+bORMYOrS0hPffDxx8sF3MbCqNTfrp4OL6+EUHs1rTdJ21632lVt3rJR71qxel1OVsLvoVxtNye/bd/jAVv3zS4/GBeO/7539eiYYRvvNqmn4umL6X7nUpxo0aZ53Y9aKfyjxftXZVbo5z0Oaj8KfTn8QmvhdSDaPFEVYjPNx+E912TeI0knrRL06d/GFNj19ooNeqXMbxaKArgMcxmWig5wDSQI/QcWmg5yDRQPe1FRroHgwa6HkWNNArPkxpoEf4W6MhiOlJhYYqlSTp+qRQNz/T6VM/swoEV8wEz2SsVrrCCnQZbvYXs3HZ3peVrKypFt/V3zeI7SIHDAA++MCr4SWXAOPH21Vj2/rfsGHAiy96jEaLl5uPP24XM5tKY5t+abNxffySNq8k6bnO2vW+kkT7eohL/epBpfAyNif9CquWX+zTAkPF2duF66Zvt8Lpz4WvqrF5tXM96Becz0gzfM9+e2LE7Z5D/vsHW+B/Znlb6ssz6e+//0qc/8QFRZ3kDgDPzn82t5tW4bJxV4A4T4R60C9OfYJhTY9faKAnUS/DuDTQFbBpoOeg9AZXoBdbB1egF1FwBXoTCq5A9x6ecbZwj7EynSvQfX+fuAI9B4MGeoYDRF9WpicVumvt+qRQNz/T6VM/0wqI1RfPXF3yoihOiQpnoM9aNCtnoK/ZsAb1/qIpTv3Dws6aBQwZUvrrq68CO+2URurppWFb/5NbuMut3P3XG28A22+fXp1dSsk2/dJm6/r4JW1eSdJznbXrfSWJ9vUQl/rVg0rhZXRVvzDT+8p7f4aGw25ASx+S0UcD+56Y377dZrNcpWK96BfcUUvWxT/H2WM+8Ozk0hpec+3B2LD77sXjp9q3bl8yJ3LhbPR60a/Wp5zp8UuzNtDPPfdcXHvttUXtpk+fjlGjRlXUcurUqbj11lvFF9MvYunSpejevbvYgmwoTjrpJIwZM6bWdlA1Hg10BSIa6DkoNNB9bYMGehEGDfQmFDTQvQ5CA73Iglu451FwC/eqw6+6CmB6UqEbluuTQt38TKdP/UwrkM8/qonepmUbrFnvfQ4lDfTrhuf3KT/rmbNwwcgLrNx+MmvKF10EXHGFl+vAgcC74uiXFuLMRZsu2/rfV+IoJHn2+TLfOP2004CbbrKJmj1lsU2/tMm4Pn5Jm1eS9Fxn7XpfSaJ9PcSlfvWgUngZXdRPZdYWxtOv/6YBd4ojaArXFxuJE2HPBVaLXU0LOz3Zul27SsV60k/1cULxaCqx+PztG4FtfGcb3roL8MkN+dXqwZXnLpjnUs960q+WJ53p8UuzNdBfFZ+G77rrrli71ttao5KBvkHszzZ27NiceR52SRN90qRJYsKc/oyZBrqCOg30HBQa6L62QQO9CIMGehMKGuheB6GBXmRBAz2PggZ6LUN3e+OYnlToJuP6pFA3P9PpUz/TCqC4Eiaqie4vcWEL92N2PgY7bbUTRvT3HSZovmrGSrDDDsCbb3rZn3MOcM01xooTmrGN/e8CsZPmVVd5Rd5kE+AjsQ3qppvax890iWzUL00mro9f0mSVNC3XWbveV5Lqb3t86me7QpXL55p+qu3C5crywjj67nuBI173mEzbeVPsc8jnZZDqZcemetYvOLc5/yngyic8KT5rC2z+c2Cv7cdg6pypxR9cMc9lhepZvyhPPtPjl2ZpoK9fvx67i60bZs6ciR49emDJkiU5rSoZ6BdeeCGuvPLKXLjBgwdDrl4fKD4xnzNnjpgkX4NXXnkl95sMd/nll0fRPlYYGugKXDTQc1BooPvaBg30Igwa6E0oaKB7HYQGepEFDfQ8ChrosYZi1gc2PanQDcj1SaFufqbTp35mFfCvoJEl8Z/5V6lk23TZBu8sfwf+M9B/uOsPce4IscSmmV/SOJcGuv96/nmI9wz2gbGx/80XW2zK8+PFq5niJVegy5XovEoJ2Khfmhq5Pn5Jk1XStFxn7XpfSaq/7fGpn+0KVS6fi/oFjdnCyvJW4t3zErGhcRexo07hev7i4/DLbRaWGLQy/KNHPVoXwtarfiqNXps1FfPFxln+7fWPPBS423fEkkvmuWxg9apf1M5hevzSLA3066+/HmeddRa22247HHLIIeLL5/ynz2EG+nvvvSfO49o+t1pdrlp/6qmn0L59+6LGX375Jfbaay+89NJLaN26Nd76/+xdB7gURdY9JAFRUTIPHg4CBhQTritZARVWUNccMSvqKgYEFJGHiqLiskbMec1ZUQyggKL+BoyYQJ48gkSBBTEQ/qqZ19Pp1pvume7p7nq3vs9vl5rbFc6prlfVp+re775Li+tBJpuA/kQF0NQRoHYBUdsvihZQgpJKZFpFlLFWUa7lD0fWwrzgb39IlS9cnbgSlSeN/Ajo4kS7K1FikjSi8lso+qzKJ+IH12ntPokmSy1pvMhVeAnceWlbIr+l0tYdG91PubK+ZljialtzZA6cOFPzlatdeTVoU2AFUQCVJ83WEbZUnjT7Q8ETNTYVpvAzBhsQhVB50qwhYdtI0YjmdP66ZtY//xmbJXWbkcZL4S5kkRhBVKLyKyD8KhKJsqXEevkoVcbidXQb1pY3pTtNzW1Unny60HmQmu9kudSc52ceVI01P2OQmu/k89sShVB50oya21TzoI8Y6EjRHdmq/TLXDy0b0HNbW5S7bEvFCKJSirCl8uSzKcwjy6Dqa7XI4uPJ+hRVBF0s4CcGuvhw7Eo0PGJ3RmO8hMh3z9qZZ6neqabd9UR1VJ40o/6cO2Ogy1drdGWZFRUVaN1aNcD8vixsb0Ug6k1F2GzovikMG7+oy2f+omPAeYMmn5ZYBXQZA33qqVPRvU33fIrS5hnpul26cDdSiVjiij9xqOlerkfe57i+f+JTDF580YRHfJ6BjIUegkO/yDkopAFx5a+QPlWn9UtQOAVRDq8Vg0CRywgLAd3nurBwi0u5uvJHeW6i4mzf9OSFGPbdrS46kiLUJpE/JzcG1jJ/z1NH4OC5Jh1v7SDi04sY9TIl6WCD1/c7ifx57Zu0i3r9Uu0EdPnhtqM4Kr527dq0YP7uu+9izJgxac5UAvr54hj0nXfembb5QBwrl7fXnenDDz9Ely5d0tn/+te/cNttIuBCgIkFdAJMFtDToLCAbhkbLKBnwWABvRIKPweJWEA3XyYW0E0sWEBPY8ECeoCLupCKinpTEVK3ssXqvikMG7+oy2f+omXAr9t24+a50epD2h2C/iX98fAXD+OQPQ/B6AOMY1HR9ivK2jt3Bj77zGxBnGN4x/X9mzIF6NvXzuLbbwN9+kTJbPzqjit/QSGl+/olKJyCKEd3rHV/V4IYA3Eug/mLMzu526Yzf9n42pUw3PbeNvjX2+Yludkt62DXc8xrBMZNdQO1JIjoSeNPJZ5LzOXh4S8mjMD5/3k/O3Clw6PUReKwa+WFI4oTKrZ67pEfD4uk8ecXtajXL9VOQB84cCBeffVVnHLKKXjooYdQVlZWpYAuY5+XlpaKeFwL0zfWv7UGOXOwLX///vvv0zer5gufZEHGQmcBnXi1WEBPg8ICumVssICeBYMF9EooWEA3XxC+gZ7Fgm+gZ6DgG+h+l+3xto96UxE2OrpvCsPGL+rymb9oGZAfhN6f/74n1+31atfD7xvs7pvkDfQJ3Sdgl6a7oFfHXqhVq1a0HYq49vLyjPtxa5oqYi0ecEDEDVNUH9f3T3xqSbvBFw78sumYY4CnnoonjlG1Kq78BYWH7uuXoHAKohzdsdb9XQliDMS5DOYvzuzkbpuu/FGenD67S4T3tXxrvF44Zbqi8kCg9Ra0NWRS3GOhJ4k/VXx6OUqNsFU3dCvD2QPKsK1FJ7iqd01c09OMHWTlxBDkR/cajbL9y3IP+JhZJIm/fKCLev1SrQT0p59+GsceeywaNWqUdrPetGnTnAL6Tz/9lHXHfs455+Cuu8QsqUjy93vuuSf9q3yurXNXnc8IqXyGBXQCPBbQ06CwgG4ZGyygZ8FgAb0SChbQzReEBfQsFiygZ6BgAb2AhVkMH416UxE2JLpvCsPGL+rymb/oGLDGP3+3/F1bbMZmDZph6TpVzCWzzYYL91P2OAWDew2u9gL6BBFX8ZJLTHwaNwZ+EWtOEc0tlinO79+twtvpkCGWsVYH4vKCiFiniO4US4BDblSc+Qui67qvX4LAKKgydMda93clqHEQ13KYv7gy461dOvNnrKXlzfIvZ03Gwn/bMelxmrj1vD3gvNWcJFE2afxZ9zfDuw9PE+IU1ie+Agz+1ORqznbABbccjMk/vQGrUO68zR73ww7UG5k0/rzNKqZV1OuXaiOgr1q1Kh3H/Bexs7333ntx5plnplnIdQN90qRJGDBgQNp2gtgpX3SR8PegSPL3Syp30vK5f/zjH37Hg9KeBXQCGhbQ06CwgG4ZGyygZ8FgAb0SChbQzReEBfQsFiygZ6BgAT2wZVosCop6UxE2CLpvCsPGL+rymb9oGAgi/rlsuTUG+s3/vBk9Uj2i6VBMau0huv/ee2ZjTj8duP/+mDSOaEac37+VK4FWrYDfLU4PbroJGDo0vngWu2Vx5i8ILHRfvwSBUVBl6I617u9KUOMgruUwf3Flxlu7dOfPcO99y1m7Y8h9X2VBWVUXaDIMGHvQOBhCrhWxpLgFTyJ/FLZWMXzfBcBH99nHrzzssNsRgzFxwMT0D1W5gvc28uNhlUT+/CAX9fql2gjoZ599dlo479q1q9jsvpd1r55LQJc3zs8999w0p8888wyOOuooJb/PPvssjj766PTv8jl5I91rkgOhqrR48WLsu+++GZMnKsSRbEeAWupxP8LRckXtVEzgtQpbu6e/jNEGha0qnzq1rzrJzwJ6GlwW0C1jjAX0LBgsoFdC4Wce5Bjo5svEMdBNLDgGehoLjoHudUUXnV3Um4qwe677pjBs/KIun/mLjgEq/rkzxnlVrZO3aWpsroFnP3kWx+12HIb0HlKtb6DLm+YlJYB0P24kESEOhxwSHce5ao77+3fyycBjj5m92HHHjFv3GjVy9ax6/B53/gplQff1S6H4BPm87ljr/q4EORbiWBbzF0dWvLepuvA3/W/N0POTZVlgntoVOG9QI6wYprqe4B3DKC114c+27xFr9dl3ALtYNK/79wLOPCzjLUAmq5v9JMSqV40RXfhT9S/q9Uu1ENClYN6zZ8/0Rv+zzz5Dp06dsnzkEtBvEsefhw0TR4lEev3119GvXz/lfCZ/N26djx8/Hpdeeqnnuc9XvPTnhYDezKFuUCKRSpOnxHKVgE7lqwR0Kp8S1SUqKgGdQsyPgE6J6rLMbYmCqTxp5ueWZgsFxZT41NrylcXyWKPUIlchJbXcedKoBO58lYBeCjFOHIl6PlPuYrIjlH0zLCFtm68zFxCGQT2VR0gqX7XWWE1Ut0aBu2q8UcK6nzEoThSSiRpvKtuGRAnC3SOZGinym7nzV5bQg75QAX2ROJpBpQqUurKpPGm0WIwsZ5pPPC9tflnotk0/W070TzW3UflBzIN+DhKp5kdqvPk5SKSa26h81dxG5VPzncTdz9yWUoxXIr9he/pEQ2ld93xFzWGyphTKXRWmQKncIj4pYasqQ1VfiwpiEvpJ0Wc/Yvt8ogx66gcx9WceJubSJYp5l5q5xaUvMlFTrEpAp/L/cpT6q/h3xqkWUFFRgdatVSc0FA3ibE8IRL2p8NTIAox03xQWAE0iHmX+oqWJEtG9tkh+TBraZSimzZ6Gjk07psOgVecY6DKiW+X5+jSEW28NLBPboLqqPYBXoEO0i/v7N2MGxPcaOwDvvgv06hUiKAkqOu78FQql7uuXQvEJ8nndsdb9XQlyLMSxLOYvjqx4b5NO/Kluja9d9ys2NW6EbSzfmE8VYuzDQpSV6+VubbqhexsRED2BSQf+qP3OMOEx6oa3TUL+t4X43Cm8HP0m/teakiyey37owF9Vr03U6xftBfQ///wTe+65J7799ltcdtlluPHGG2185BLQr7nmGlx11VXpZ6ZMmYLevXsr+Zw6dSr69OmT/l0+d+WVV3qeMllArwIqFtCz4LCAXgkFC+jZMcECumXuYAE9AwYL6NlBwQK6+X6wgO55SZZYw6g3FWEDp/umMGz8oi6f+YuOAeMjYCEi+g29b8CgDoPSnajuAro8T//GGyafxx8PPP54dPx6qTnu75+8zd+xY+bWuZFOPNF+K91LP3W1iTt/heKu+/qlUHyCfF53rHV/V4IcC3Esi/mLIyve26QLf1RsbQOFcdf2w4hRlkWg+KGFuDu5RBymNJI1trZ39KK3TDp/lCt2ieotL4xAxQSgluVO46DDgUf3NDFPungue5J0/nK9AVGvX7QX0Jo1J5sAACAASURBVA2BvE2bNpg9ezYaNGhg4ySXgF6sG+i+XLjzDfQMh9TNS76Bnh3ffAPd8qrzDfQ0GIuIG+GqfL6Bbhk/fAPdBIO6OJxSLHWIfL6BbsGKb6DnWiPz7z4RiHpT4bO5vs113xT6BiRhDzB/0RBm/QgoW2B1U1hVi/q164fJcydnTWQM9AndJ+DIjkdWawF9vXC70kh4irLG637qKeCYY6Lh12utSXj/br7ZHvdc3uhfJDzzSLyre0oCf4VwpPv6pRBsgn5Wd6x1f1eCHg9xK4/5ixsj/tqjA3/y0GmPB3tkO24VVqVAW2P4CAybaeLyfWorvPjola719YzTZiTuJnqS+asqjvm5r56LgRffhX/MMXl7R3yr7H2q+W9KQE9K7HqjF0nmz8tME/X6RWsB/TtxhHmPPfaAvIX+0ksv4dBDD3VxkktAL1YM9FyDxTpQwAJ6Bi4W0NMwsAt3y9vDLtyzYLAL90oo2IW7+YKwC/csFpQbeHbhbg4VduGea1UWz9+j3lSEjYrum8Kw8Yu6fOav+Aw4PwIW0gIpoO+59Z4Y13ccenXsVW1duIuIbSJkm4mkiBCH5SLk2bYq7z+FgB7gs0l4/ySOrVpBfLsxO/6f/wBDhgQIREKLSgJ/hUCr+/qlEGyCflZ3rHV/V4IeD3Erj/mLGyP+2qMLf6qbzPIQ6lcinvZuluil75/SG++deZBLQE/ijeak8lfVoQfjIPHQhSncdG+5bUC3uUiEF7Ss362HHowxkCRvAknlz+ssE/X6RWsB/ZxzzsE999yDHXbYAWPHjiU5efbZZ/Hcc8+lfxs1apRwHSZ8h4k0cODA9G31V199Nf3/ZZowYQIuuki8YYokf7/kkkvSv06aNCkbD93rYKjKjgV0Ah0W0NOgsIBuGRssoGfBYAG9EgoW0M0XhAX0LBYsoGeg4BjoQazQ4lNG1JuKsJHQfVMYNn5Rl8/8RcMA5bbdebu8qpbJD4AyjZo6CuO6jMMJnU6o1jfQpZh7660mYt26Ae+J2IpxT0l5/447DpA3+o0kP818/TVQo0bcEQ63fUnhL18UdF+/5ItLGM/pjrXu70oYYyJOZTJ/cWLDf1t04o9aP7cRnil/Fgf7rOnf/z4al655hgQraSJ6kvmj3O5bhfUtNgC/jAe2s2gGow6sja2uujZ9+MEqlDu5T4o3gSTz52W2iXr9orWAfuqpp+Lhhx/2woPLZt68eUilUvjpp5/Qrl279O9SkJc30lXJEOzl7/K5tm3b5lU39ZBNQH+7QgTZcPjRLSee+kVRPZWvshUnwV1praJcys2xStAUkxeZVPmUsR8BfSuiAD9xglso2usnn3J9LIqtk3Lf9StpLPzVEYmKgU7lyUep25Qqsb0EiwuurxncEXYbLVIMgKVEdVSeNFtB2KpioKvGph8X7huJ+sTtEjJRY1C4GySTPXpExqSxwlblqpCw31xCl7GkUUPXD2oX7i1dtosV7t7ni5HlTCrbCsKWypPlVaxzlyvz15Y3dXewXIGbnxjoYc2DqjFIvQqq+ZHqXm0fY5Ca7+TjfgT0Jor6qDkvpbCl5rz2tG2j9gtdP5TWEn/riETNbSnMI239xECnRHVZKFV2o3kK8n4kmkE3DaBcuFN5skj6TwKdr1DFlxBzLDW9yuqoIoTXWjJR07HzT7ms5/zKpysqKtC6teIPoqIOzvaGQNSbCm+tzN9K901h/sgk40nmLzqevMY+r1+7PtZvsM/2xse/GeUz0KFeh3QnqnMM9J12An74weTy2muBkSOj49ZrzUl5/6ZOBfr0sffq/feBrl299lRPu6Twly/6uq9f8sUljOd0x1r3dyWMMRGnMpm/OLHhvy268edcP5/zMXDXJBOXFVsCzYYCm2pm8oxDp9ZwSUkS0ZPOH+Vy3crhXa8IXe9Tk79vxKfmV567Dt2375F1t1+VK3j/b0Rxn0g6f7nQinr9wgK6giFDQN+8eXP6Q+8iEYBr5513xrfffqvkdJdddoF0G99K+B6TH4hrBHhUmgV0AnYW0NOgsIBuGRssoGfBYAG9EgrVDXQW0DMAqYRyFtCz7xIL6BkoWEDPtaSP/veoNxVhI6D7pjBs/KIun/mLhgHjY5JXEZ1qpfz4N7TLUCxblvFZWV0FdHE+XhystyP0ySdA587RcOun1qS8f5s2ATvuCMyda/bulFOAhx7y01v9bJPCX77I675+yReXMJ7THWvd35UwxkScymT+4sSG/7boxp/TNfhLjwOHWg5RPtYJOPnIDE7OWOlWEZ1vMPsfS0E+0f+x/pg8dzK6/wzMeNBe8p7nAMefNA7Duw9HksVz2Svd3j/nGIh6/aK1gO7lhcsVA12Wcd5552HixInp4j744APst99+rqI//PBDdOnSJZ0v7e+4QwTGCDCxgE6AyQJ6GhQW0C1jgwX0LBgsoFdCwQK6+YLwDfQsFtRtc76Bbg4VvoEe4AKuiEVFvakIu6u6bwrDxi/q8pm/4jNgdWcoa7d+zKuqNTs22hE/rLR8IRTGN/S+AYM6DEo/Vl0F9DvvFN5UDHcqAodmzYDFwolXzcqbR8Vn2HuNSXr/brhBjNURZt/q1xcOd4QnnrjHmffOhn/LJPHnv3eA7uuXfDAJ6xndsdb9XQlrXMSlXOYvLkzk1w4d+TPW0nX/Es5RbwQaiP810glHAE/sbhfPjd84hnZ+Yyjop6yieA1xSPOnW4SHydVmLeOFjHfZwYAzvFWSPAcYvdHx/bOOh6jXLyygl5VhzJgxaU7eeecd7L///q739Qfhp23XXXfFhg0bsM8++2D69OmoL3dylWn9+vXo2bMnPhFH0GvXro3Zs2ejQ4eMi7ugEgvoBJIsoKdBYQHdMjZYQM+CwQJ6JRQsoJsvCAvoWSxYQM9AwS7cg1qlxaOcqDcVYaOg+6YwbPyiLp/5Ky4DzlszhdZep0YdTP7nZHRs2rHaCuiHHipcPQr3j0Y6+WTgkUcKRbY4zyfp/VsiooLJSC/i00s23X67/fBCcVCLTy1J4i8f1HRfv+SDSVjP6I617u9KWOMiLuUyf3FhIr926MqfXFN/+PB1GHrV61lghBaLpsOAYQMzt5epRLkUzw/Z4jylG3/OG+VSJO9+z2SMnGHiuUiEvyy9xHTDL39Jongu260bf85RH/X6hQV0DwK6JO3yyy/HuHHj0vzttddeGD58eDo2+lzhX+wGcUx61qxZ6d+k3XXXXRf47MYCOgEpC+hpUFhAt4wNFtCzYLCAXgkFC+jmC8ICehYLFtAzULCAHvhyLdICo95UhN153TeFYeMXdfnMX/EZ8Ou23XnzXH5o2j+1f/rmelnPMpyzi/BzKFJ1vIH+xx9A48bAunUmj//9L3DCCcXnNZ8ak/b+HSlcoj7/vNnT3cUNr88/hwiRl0/vk/9M0vjzi7ju6xe/eIRprzvWur8rYY6NOJTN/MWBhfzboDN/U4/vgt5PfpgF56NWwD8ubIQVw1RfVPLHMaondeJP5Y79pntPw2VnP2SDuK84EDulMkST3Pu8fpJ5UCIqLvKpVyf+qP5HvX5hAd2jgL5JBOQ666yz8MADDyjH8RlnnIF77rlHuHEL3o8bC+gE7Cygp0FhAd0yNlhAz4LBAnolFCygmy8IC+hZLFhAz0DBAno+W5P4PhP1piJsZHTfFIaNX9TlM3/RMOBVRN+y9pb4bcNvrkbKWxjd2nRDl1ZdqnUM9ClTgL59TXikkLt0KdCkSTS8+q01ae/fG28Id5r97L1MSrx5v9x4sU8af176ZLXRff3iF48w7XXHWvd3JcyxEYeymb84sJB/G5LOX1U3xme12QJ7VZj+28f2AK7sk7mtLNfJ3dt0zx+4mDyZdP4MGKuKZS45btitNzotMLl8eA/g1H+aJFA30JPgTUAX/lSvQ9TrFxbQPQroBoGvvfZaWiT/+OOPsXz5crFpboK//e1vOOecc9C/f//Qpj2bgP7BT0BL4dfMtuuo465bJRxR+b8omr6cyF+lsKXyVYLm74oyLK7acoJZm7CgRHVpRuVTYpK09SMytVC0ksp3UJZ9MrXZVUjD1sJ3HZFK61a4clUCekuIYHGOVAr389KkjSKfKqMEItgfkZrD3eaSlVQkXXF7QHxwciW6ywBVhEr1scQysZUvbo24EpUnjQodg3UVY6IBkd9QYavKF7EWXYnKE0a/lxAQN2hKVrhYHMNwpkVEnrSpQKnLlsoLwlaWsWiJu22b5lBgCuNyonthzYPU3CirV815VH4Q82BYB4lUH4T9zG3UnJdSjPn27nmwaTt6virFfFchbUnyRXwjH/kpzCMbR82bbTdSgw3Y5kdLUCyjNPEnm0xU99xdyzyqyndP8+KLvqI+In+FYi5dudFdxhpFsf8j8tc78uTrkomcK+aQigrhmlX1B1FRCWd7QiDqTYWnRhZgpPumsABoEvEo81d8moyPPf0f64/JcydnG7BlHSGW/+UWyw2Dv7f6Oz5a+FHWXn5IGtplaLUW0C+7DBg/3uRw332Bj0yIik+uzxqT9v6Juwto21YsfyzrHxl/Xrpyr44pafz55Uj39YtfPMK01x1r3d+VMMdGHMpm/uLAQv5tSDJ/RqxzSjy97uXLMPzw8ahl+WTVW3zceGcHE6vRvUajbP+y/MGLwZNJ5s+AzxnCysqnwfF9c3bDGY99nUX8f1uINeeIelhR0/xAO+O0GdlDEUmJZ68Df1W9BlGvX6q9gB6DOcpTE1hAJ2BiAT0NCgvolrHBAnoWDBbQK6FgAd18QUR8H1dSHSRiAT0LFQvoGShYQPe0XIvUKOpNRdid131TGDZ+UZfP/BWXAeMj0eDOg3HXp3d5rtxw496nbR9MmSeuXVem6adMR4d6HdL/qo4u3Dt1Ar42v7XhqquAMWM8wxq5YRLfv9GjgauvNqHbVqxZF4tz3PVUB+YjRzm8BiSRPz9o6L5+8YNF2La6Y637uxL2+Ii6fOYvagYKqz+p/FUlukrx9MPbR+CFp0xs1gst4tbXyzDi/TIbYFbRtTAko3k6qfw50aIOQ1g5biFugCz4N2wHIo4XoYNWHd4vfeDYehjCeZs9zhzrwp9q9Ee9fmEBPZp5yXetLKATkLGAngaFBXTL2GABPQsGC+iVULCAbr4gLKBnsaBduPMNdAMgvoHue5kWiwei3lSEDYLum8Kw8Yu6fOaveAw4PwQaYrgzxnmuFhniu/yQNKrHqGp7A104TkGbNna0Zs4EunTJhWB8fk/i+zdPLMt2sNzukmg+8QRw3HHxwbVYLUkif36w0X394geLsG2LjrX0SChdSbRsCTRvHnb3oPu7EjqAEVfA/EVMQIHVJ5k/yu23hGPElBG4bRLwr49NcGbt1hhvTrws/Zs1UbfXC4S0qI8nmT8nUJTLdSvHkx8FDp5rPjVJnBEecCIg9z4TB0xM/1CVK/iiEuOxMp34o7pc9PWLoxEsoHsciFGbsYBOMMACehoUFtAtY4MF9CwYLKBXQsECuvmCsICexYIF9AwU7MI96tVdsPVHvakItjfu0nTfFIaNX9TlM3/FZcD50efvJcIt+yK1z3GnuN6vXT+8ftLrMD5AVWf+7rsPOOssk7/ttoM4TCBurtQqLqeF1JZU/vqI+KJTp5o9P+ggQMZHr24pqfx55Un39YtXHIphFxrWm4VvY3mySMa2+O478z85WRppDxFotl8/iNiXQNeuQB0iDGWBIOj+rhQIT+wfZ/5iT1GVDUw6f861s9HZb28DdraEvnv42J1x6i5iniNSkkX0pPOX6+2x8nvSF8CjL5hPbKghtJVLxfpefDOVHMpkPSCRBF515y+09UuugVP5OwvoHoGK2owFdIIBFtDToLCAbhkbLKBnwWABvRIKFtDNF4QF9CwWLKBnoGABPerVXbD1R72pCLY37tJ03xSGjV/U5TN/xWdA9SHQ2ZIta4uY6BvcMdGtH4uqM39HHQU895yJ2rHHAk8+WXw+C6kxqfw99hhw8slmz2uID5zl5W6PAIVgk4Rnk8qfV2x1X794xaEYdqFg/fnnwJAhwPTp3ruw9daAPCFz4YXAAQd4fy6Hpe7vSmBAxbQg5i+mxHhslg78OdfOrcQ35gUT7ADsIw5Vftoqk5dUsZWiVAf+VEPVyWuDP4Al44EGf5lPXCDOdt3+d3cJSRDPZat15k/2L5T1i8e5TZqxgO4DrChNrQOl7jdfokarytm6slG/lzdyNy8I4egXotfLFUisIvLXKmxV+RsIeypPRYYqJhqVT4lJslwqJrAqTnALRUOo/NYKWyK/ZmodaVzSfJErXyWgU3F7qTxZYEu4y5X5lH0JRPA5IlHtKPmDLrfBok3uEpYq8FlC5AtPYGRSCegUnDTEADXeNirqo26eUAc75ON1iTIaKspV5ROvOVSe0Jq5y17Thj7lvaSWu5AKwT6VFokjG86ksqXyVbblSNH1bXTXt3KOff7LPjiHKEI1D5YTttR8J82ofJUtNQ/KMqg5L4h5kBpvqjFIzXmqeVAVA53KV82D1JynmgfbE3ykxE0GIrVo53a13gbCvypVBCiiIUabOz8F2oV7W9KWLrf0D3c7GvxIzHeyrcKboSvRTaBt5cPUFEtPuwA1xyrm0jWWE9ZGG1eITQaVRAgpV1rvyJFVH1qZVyF84bZurRoIdB2c6w2BqDcV3lqZv5Xum8L8kUnGk8xf8Xiyui3s/1j/dDw/I9WpWQd/bbJ8LXI0S948t9obH42qK39/CaiaiLXPmjUmUA8+CJx6avH4DKKmpPL3mzjXIT0/W/GXcdFHjQoCleSUkVT+vCKs+/rFKw7FsAsUa3m7/MorgXvvBeQN9HzTxRcD118vvpdQH0z8Far7u+IPjeRZM3/J48zaYh34c4ZBGiTOBz38otnLX4W20GQYsKlmRjwf3n14+sckxcpWjTId+KP6pnLP3/q8ETjxK/OJWeJ7+d6n2/dISRHPZS905c9gKND1Sx5TLQvoeYAWxSMsoHtEnQX0LFAsoFvGDAvoaTBYQLeMiXJiTmEB3QSFBfQsFiygZ6BgAd3jOiRCs6g3FWF3XfdNYdj4RV0+81ccBsreLcOYaWPSH/W6temGHg/28FWxjHdev3Z9m9vCGafNQJdWXaplDPQZM4CePe0QLhIH1aSom6SU5Pdv8GDg7rtNtGVc9B9/BGqKj9fVJSWZPy8c6b5+8YJBsWwCwVqeLLrjDqCsDFitusHgs0d77w088QSw444+H7Sb6/6uFAROAh5m/hJAUhVN1IU/Yy0tu/rw88CgL81OP7cLcJTwREQJq4ZQK9fSZfuL+TFhSRf+rLBXFcd8wlUH4eJr3rKxtOO/xBrT8i2UBfT4DOJA1i8FdIcF9ALAK+ajLKB7RJsF9CxQLKBbxgwL6GkwWEC3jIlyYk5hAd0EhQX0LBYsoGegYAHd4zokQrOoNxVhd13HTX3YmMWpfOYvfDact2bkR5/1G9anBXVnjPOqWiMF8/fnv58W0Y2PgNWVv5EjgeuuM9Hac09g1qzwuQy6hiTzJ0Mq77efHZF33gH23z9olOJbXpL584Kq7usXLxgUy6ZgrOcLF1oDBgBfWa7tWRvfpg3Qt68IGLxz5r+ddhJuDYVnu08+ASYLbyjyv88+o7vboEFGmB80SPhKFfEa8ki6vyt5QJKoR5i/RNHlaqxO/Mk19Yzy6TjlkJEosXiOPO8fwPaXmzfPnSBYvUAljU2d+JPYU/siw2OA/G2/Fvvg10b10dSiF1wtDs2O7m1nTu6Lurfpns6MM7+68ed8fwpevxT4QrKAXiCAxXqcBXSPSLOAngWKBXTLmGEBPQ0GC+iWMVFOzCksoJugsICexYIF9AwULKB7XIdEaBb1piLsruu+KQwbv6jLZ/6KwwB106J8VTnu+vQuzw0wbltYPxJVV/7kpUirYD5iRMbTcNJSkvmTnqF32w2YPdtEXeprDz+cNBbyb2+S+fPSa93XL14wKJZNQViXiw20jFcu/9eZttwSuOIK4JJLgPr1q+7OEhGj77HHAHlC6Q8iRtSJJwITJwIyTrrPpPu74hOOxJkzf4mjzNZg3fj74p0nsUfv4219/Nul2+Dj8QF53ogZ3brxJ+G1euYyxHNr3n43PYFeL3+RZeIHETa1y7DtMKzbcNtBYmkQdw8DOvJnfUUKWr8E8K6xgB4AiMUoggV0jyizgJ4FigV0y5hhAT0NBgvoljFB7PvJWOfyEY6BbgLHMdDTWFAx1GU+x0DPDBWOge5xzRKwWdSbCr/dWbkSeOMN4IMPgDp1gA4dzP9at3a759V9U+gXv6TZM3/FY8wpoudTs9NlYXXk7xex/nO6ap82ze3SPR98i/1M0vm7+WZg6FATNanPSX622abYSEZTX9L5y4Va0tYvufoT59/zxnruXKC3uJYnb6A7kxS8b7gBaNXKX9e/FH6RjzsO+PZb93PdxW2/t9/2HRdd93fFH8DJs2b+kseZtcW68XfnoF1w3qPfZbtYIdYcbS4W7tv7qm+gJ5lB3fgzuLAeCHbeSj/jz91w33Vf22jrfDZwzMmZUFjGzfMkxLjXlT+DnLzXLwG9lCygBwRk2MWwgO4RYRbQs0CxgG4ZMyygp8FgAd0yJsqJOYVvoJug8A30LBZ8Az0DBd9A97gOidAs6k1Frq7LW4TfiW8Qr76a+e/994GNG+mn6on1nPT6Kb+rXnQRIP+t+6YwF35J/535Kw6DxkciSkSvWaMmNm3eRDZkcOfBSG2bssU+t4ro1ZE/eUHy5JNNuORlyBUrMgd+kpaSzp+8sCq1OevfjHvuAc46K2lM5NfepPOXq9dxX7/kan+Sfs8L6x9/zIjnCxbYuypdtN9/P9C1a/4QrBMfai4WitS997rLOOkk4JFHfLlz1/1dyR/oZDzJ/CWDJ1Urk8ifyiW3XEfvdOYIHP692dsHRRif0w/P/FuumycOEJ4yNEpJ5C8f+G17JPF9Ys6tQLtfzZLGdwEuO9iMc19VHPV86g/rGd35y2v9EiDYLKAHCGaYRVkHSqOKD1GrdUtbdct+tv87/WO5YnfvWPembak8mU8JSssVPaXyVylsf/eRr7KliqitKJcS1lVi+7ZEGVSeNFOJTC2IMqg8aZYibMXNKyptlVrmyi5tUEHatsQity1oW0pslw+3IeypcqVtCRa76ish2iCNWiwlXN64m5spbynRPSpPmqk86VD5lKguyyC8iGGDYlz5ya5LGIswX2Rq6CO/mcKWyi+hbZeVbOX6YRGIOUVYLRZMO1MFRFwzIs0n8svRlrRVlUHlV6yg6/trDnENpVyBD5WvmgepfJXYrpofqbnQEkvJ1ko/c56fMUjNj27qMyWq5jwqXzW3UfmKuY2cB1OKzrX/y/VD6+1polVzG3WDXHWrvC3muepT2VL5pevogVXPXSzwk6LP9NQtboEQ9kHMpUIgcKa/1tBtW0nMr785TOVfh26VeRUVFWgtrxdzChyBqDcVVXVoyhTgwgvtLni9ArDDDsAttwD9+2/EsmWZdVDTpk1Rq1Ytr0WwXQwQ0H1THwOIbW4K5a2JHg/28NUsGe+8fu36NhHdiPtXHfk74wzggQdMCA87DHjxRV+QxsZYB/4OFx+tX3rJhLSL+MA5c2ZsIA61ITrwVxVAcV6/hEpsBIX7xvp7oR5Jt+2LHd96OnUC5OJOrMcCSU8/DZwtrv2tdmwsrrkGuPJKz1Xo/q54BiKhhsxfQomrbHbS+KPce8uuSMF05JsjsOJGoKHl+/DEC7vivEbmwqNP2z54e5DwlKFJShp/hcDe/7H+mDx3crqIa8WfspEzzNKkp4HtxQH+zTWBfu36Ze2khdNDVyFtCPpZ3fnzvX4JGGAW0AMGNKziWED3iCwL6FmgWEC3jBkW0DNgsIBuDopyYk5hAd0EhQX0LBYsoGegYAHd4zokQrOoNxVU1//8Exg1CrjpJrEJFSe8C0mHHLJZlLUc22+/kQX0QoCM6FndN/URwZqt1umSUH7gWb9hPcZMG+OraVIwf3/++664f9WRP3l4Z57lsNt//gMMGeILztgY68Dfyy8D8hCDNcm46LvsEhuYQ2uIDvxVBU4c1y+hkRlxwb6wli+YvHkuXUBY057iGuZbb4nLJKrbJHl28gsRh1a6bl/rOGX+5JPAscd6KlT3d8UTCAk2Yv4STJ5oepL4o9bNMka2cdt4X/Ft8KP77Hz8OvcbnDDzUpugqtNN9CTxV8ib4rxRvqv4E/e1w5lAz1OBGSl7LXEWz2VLdefP1/qlkAGieJYF9BBADaNIFtA9osoCehYoFtAtY4YF9AwYLKCbg6KcmFNYQDdBYQE9iwUL6BkoWED3uA6J0CzqTYWz63PmAMcfD3zyiRoU6ZpdfpvdSnjD+OEHQHoJld48Valu3c04//x1uPrq+mjQgG+gRzjcfFet+6beNyAhPEC5GCxfVY67Pr2LrM15q0IaGR+HnC4tqxt/P/8snISl7LBJbWf33UMgrghF6sDfX8IBkXRgs9Tiieyyy4AbxQ0x3ZMO/FXFUdzWLzqPJ89YLxdu1aRQvnChHY7OnYE33wQaNQoHJhnjR56U2WQJN1JXuPJ7911gv/1y1qn7u5ITgIQbMH/JJjBp/DnXzdZ18RXTgbFTTT7mtqyHZ58us3lpMn6Nu7DqdVQljT+v/bLaqTj/6g5gN4vD30e7NMCgg82PEnJsvH7S6/lUWbRndOfP8/olJMRZQA8J2KCLZQHdI6IsoGeBYgHdMmZYQM+AwQK6OSjKiTmFBXQTFBbQs1iwgJ6BggV0j+uQCM2i3lRYu/7oo8B557kvEUkbGcd2wIDMf1I833JL80l5S/0XESLj66+BMeLirIyTTqWePTfj9ddr2J6NEHqu2gMCum/qPUBQFBMq9jlVcZ2adfDXJndIFGlLfQisbvw99BBw2mkmco0bZ4TbmsKdYxKTLvxJwXz8eJOBliLi1HwRjxCGmAAAIABJREFUzqa26htAEski2qwLfyo64rR+0WTIKLvhCWu5GBs4EJg0yV7OvvsCb7whQn2pNooBoSfdfci46NbUTMSn++gj98kmR5W6vysBIRzbYpi/2FLjqWFJ5E+1bn7/v/XQ9UcztuJzfUpwVA8zVl6SXHt7Ik8YJZE/r32TdqpY5jJ/zegRtgMTy+sDLYcCGyzn9eN+UEJ3/jytX/wMCJ+2LKD7BCwqcxbQPSLPAnoWKBbQLWOGBfQMGCygm4OinJhTWEA3QWEBPYsFC+gZKFhA97gOidAs6k1FepwIPe7MM4FHHnEDUaeOEObGAReJmGJeRCj5/VYK8cOGub2HytIPPjgTD1deTOIUfwR039THgQHj1rhXEd1os3Q/mdo2ZbtV4/xIVN34O+UU+zx25JHAs8/GgeX82qALf998I24I7WbH4LXXgP7988MlKU/pwp8K7zisX5IyFgptpyesJ0wALrnEXpW8/T1ZxItt2LDQJuR+Xi4A5SnMuxzeU3bdFZgp4g9vIwLUKpLu70pu8JJtwfwxf1EgcO6r59q8NQ1o1RvPDp6KuhvN1hx6HPDKzpl/G2tk53pbhkHq3kaEoUho0vn9U7nsl1TJ32a++yiGnXKPjbl+JwI1+tljoFs5dnrripp2nfmT2Hpav4RIAgvoIYIbZNHWgZKqeAN1Wje3FV+xutRV3e/lCrdKlEhUrmituAXkSlSeNBJenlxplaJcVb55wMt8kMqTv24gylYJ6FS+cBtKJuFG1JVUYpIq7BOV30JRn3BF50opla37pkiL7StI4xKYp+MMg1LQtn7yVbYlWOxqRynElQAilaxzD6J67uZmnqTyLa77bMWvVOBGCehUnnycch1LjTXVGFQ0AdQYbKAwVuVT+1VxI4ZM4pC2KykE9M1E/iKFW7ZFhApfAff8I+um8stBD24/ZcxDW7LLy+YS7ZhTg8annMim8qQZNWeq5sEg5kfVnKcaW2HkU/OgrIeaC1XzIDXnUfOdLNfPPEgNofY0aNu3okml5rEUaNsULAFQK7Fuq7R1l0E9L4spXe0eLHXcVWVqpKdS+ZK5k8q20Ll0BT3QNhNz6f8c8+hC8R2so4iFnZ4XKiqEC1bVQAhjMFefMqPeVMjvnaeeSovnO+4IPPEEsPfe/vlYLcbY6NHA7bdvFifj7XP6EUcATz2l/+1D/6jF7wndN/VRI172blk63rn8qNetTTf0eLCHpybt2GhH/LDyB4zuNRr1a9e3iejWj0TViT85l7VpIz/UmBDefjtE+AhPkMbSSCf+5CXYjz82YT7mmMzfAZ2TTvxRPEW9ftF57Dj7lhNrGXena9fMiUgjNRffHmUMC/m/xUqyfumqSLqLt6ZzzwXuvFPZCt3flWLBH1U9zF9UyAdTb5L56/tIX0yZNyUNRN+5wFviELeR5Paz0XBgjdAQnAdMDRFdrqPL9i8LBsiISkkyf14gs+6VZLx7max5Bxw3AvtaopY8umdNnDxrY/bmupXjOPKuO3851y9eBkEBNiygFwBeMR9lAZ1AmwX0NCgsoFvGBgvoJhgsoGewYAE9vz9VLKBncWMBvRIKFtDze5eK+FTUm4orrxSx4sa6O3z66cAtt2TinBeSPvpoI/r1q4FVq+w+lAcNAh580Nut9kLq52cLQ0D3TX1h6BT2NHWrYv2G9WlB3U+Sgvn7899Pi+jOD4HVib85c4AOHezIyZvPHTv6QTNetjrxd4eIU/mvf5n4brFFJvTHdtvFC/MgW6MTfxQuUa9fguQq7mVVifWaNZmTjnOFemRNUsQ+8MDid02eoJRi/uzZZt01hJL14YeAPElDJN3fleKTUNwamb/i4h10bUnnz7iJfv1bwAhLGLEPxNn/rsLDmsqFd9xuIufLa9L589JvK1fO/dOQD4D/iCglRloj1pd3vDIKlx90dfqWuuFdIK6eB3TnL+q1IgvoXt6wGNiwgE6QwAJ6GhQW0C1jgwV0EwwW0DNYsICe318wFtCzuLGAXgkFC+j5vUtFfCrKTcXddwODB9s7K2ObP/AAcOyxwYAgN4VvvLEKxxyzHdats4vo0tOnvCEqv6tyiicCum/qo0bd+THHGZvR2T7j5rmRL+1fP+n19D+pD4HVib977wXOPttETF66XCwcbSV5ftGJvxViPVIivGf9WenZRjI1caL7b1DU72SQ9evEH4VLlOuXIHlKQllKrKXrjROFv1rpLsiaRowArr8+uq5JMX/33YHffjPbsNdewP/9H+l+SPd3JToiilMz81ccnMOqRQf+5Hq697Ej8DeL975rhVOnOteNg3FrOSz8oi5XB/78YmjdP7UUZ8gW/FscyrcUcqTwcrTvBSb3qjjqfusNw153/qJeK7KAHsaoDaFMFtAJUFlAT4PCArplbLCAboLBAnoGCxbQ8/uLxAJ6FjcW0CuhYAE9v3epiE9Ftal45RXg8MOBTZvMzsoY5zI+ufS+GVQyNoUzZ24hvvFuh99/t6vlw4UnNvmNN8kiV1BYxbEc3Tf1ccDca+zzLWptgT83WtTHysarbtbIn6sTfyecYNeQ5CGgJ5+MA8P5t0E3/o4+2h6T/u9/z1xK1TXpxp+Tp6jWL7qOl6r6pcRanng84wz7o126ANOmCeWoTrRQ3XCDuA4qhHxrkq6NLrzQ1S7d35VoiQi/duYvfIzDrEEH/lYvW4CtmpeiljhTZKSBZ2yJV+6jYn2GiWbxy9aBP7+oOfdOUx4CepebpTy7C3C02AfIPZJM0kuXkaraN/ltRxD2uvMX9VqRBfQgRmkRymABnQCZBfQ0KCygW8YGC+gmGCygZ7BgAT2/v1AsoGdxYwG9EgoW0PN7l4r4VBSbio8+Ag44AFi/3t5ReSPdeoMzCBism8KPP26KI4+sZQvRKeuQN0fPFC72OMUPAd039XFBvP9j/TF57mTzb9i2KZSvKlc2z3lTXfUxqLrwJy9hytvN0iW4ke66CzjnnLgwnF87dONv0iT3AS3p5XkX8aFTx6Qbf06Ooli/6DhOvPSJxPrbb4HOne2LuW23BWbNAlIpL8WGayPdTchb51ZX7ltvDXz3XWbCtiTd35VwgY6+dOYveg4KaYEO/N08+kBcevXbWRj+FIfCtxWa6ej+fAO9kLERx2epg8dnfiq+J4jLAUb6vRbQ7DLgf/XsPYibeC5bp8P7V9U4iXqtyAJ6HN9iok0soBOgsICeBoUFdMvYYAHdBIMF9AwWLKDn91eOBfQsbiygV0LBAnp+71IRnyr2puLHHzOhKZcvt3dSxkK/5prgO+7cFD7/fC0cd5z95rv8nvr110CbNsHXzyUWhoDum/rC0Cn8ael2XaYeDwo/kx6TFM9H9hyZjXtuPCZjoRtx/oy86sKf1GOcIuz33wM77ugR1Jia6cbfBvEdoLWISbpkiQm49EIyLnNBSLukG39Ogoq9ftFugPjokAvrVq2A7t2BmTPtpTz3HHDEET5KDtl0+nSgVy97JccI37pPPWXL0/1dCRnlyItn/iKnoKAGJIU/VcxyKahuvHwErsgsqdPpvVKxtq50zjG482BMHCBixmiaksJfEPBTrthluTe8MgJLxgvHKxbPeoOEp71H9zRrjaN4LlunO39RrxVZQA/izStCGdaBsmfF09iitV0dmw8xqzvSLwvtpzGzP5c7js7IH8oVnVhA5FtO5Nt+pfIdH1Wz9qsU9a0l8n9X2FICuh8uCBjSj1P54gAumVT5TQjrFooyxObflag8aZRym9ZL0apxSUMRrM+RSlFBNsJPfinmey5DVW4J3G1ruogiX1RliT2TrXipAktVPiX8iPgmZFrtYwxuJGxV47I2YVtX0QbV2NyGsG+sKKMRkS9iOJKJmCp+d08p6UcXNXAP5ArQSkUFMS9RebLccmpwi3zKXmm7zt3otXOa0n2eQ2SXK/Ch8qm5UT7uZ35UzYOqfLJ5Ft9S2d/9TI4+XfJRwnpY82BKwQeVr7CtszP9opc2ds+FlFAuW9CW+AOpmtvEPT9Xo6k8aUTV12blMrLTNehpF5hHmFNzZvrl9WFLzaUKAR3UnOnwcLZADMnSymm/oqJCfPRW/ZFTcM7ZnhAo5qZC3jjfe+/M5R9rOvXUTNzzMNyoU5vChx4CTjvN3oaDDgImiwu4YbTBExFsRCKg+6Y+StrL3i3DmGlj0u4F129Yn/7/zhjnVbVvdK/RqF+7ftotofz/ZfuXucyrC38ylvZ555ndl5cbF4g1X9LnEx35GzoUuPlmO1fzxXqplrgtpFvSkT8rR8Vcv+g2Nvz2x4W1dNF+0kn2YuQkeMcdfosO314u+OTCz5reeAOQC7/KpPu7Ej7I0dbA/EWLf6G1J4E/65rZGtPcEFRn3C/OFFk+FT0+YHucuM/PWWj6tO2DtweZN9QLxSxOzyeBvyDwqiqOufxt19NHYIC4KGCk19oDh1j+TLKAHgQL/suIeq3IArp/ziJ5ggV0AnY/GhHFGgvoWVRYQLcMEBbQ02CwgG4ZE+XEBMICugkKC+hZLFhAr4SCBfTI14phH1S4TLgyGy9OZ1uT/H756qvhhcpUbeplyE4p2lvT/eLjx+mnR0IDV6pAoLp8lCn2AJC3aKy3zuVHHemy/a5Phd9xRXK6bZdm8ta5TM6b50YR1YU/eaHxmWdM4E48EXjssWKzGnx9OvL31VfA7rvbsXr9daBfv+Dxi7pEHfmzYhr1R9Go+S1m/Tashev21r17A4stlxt22CHjyqd+/WI2y1tdy8RB4513BlZaLpC0awfIyaCyvbq/K96ASq4V85dc7mTL484ftWaWIrohqNYX0SJWCU82W1huH8964DpcUWe6LTySrjfR485fEG+HagxYy759SBf869YPs1kbagjPv+LQ5ooGphXlrSuI9hVShu78Rb1WZAG9kNFZxGdZQCfAZgE9DQrfQLeMDb6BboLBN9DTWPAN9Fx/qPgGuoEQ30DPMZfyDfRcL1PkvxdrU/Gh2E9262Z3nb7HHkKAE/qbdKEeVlJtClcJrx277iqcLFi8LDRsmPn+y84OwmLDf7m6b+r9IxLcE1QMP1XpW2+xNUb2GJm+bW5NuW5TVAf+ZPzz5sJbk9RojHTffYA8pJP0pCt/++wDfCriVRpJhvV44omks+Vuv678GT0t1vpFv5Hhv0c2rMVN89Z33mkv5OWXgYED/RdcrCfkpHzWWfbarroKGDMmnaf7u1IsmKOqh/mLCvlg6k0Cf841s/VQ6f7Cu987D5tYbBTC6fjXxJr5o7EugHKtm4NBtLilJIG/IBBReSGQZUuBfc+t2qNm85bY0qI5XXDYFmg99Gqlty5VWIAg2uu1DN35i3qtyAK615EYsR0L6AQBLKCnQWEB3TI2WEA3wWABPY0FC+i5/nixgG4gxAJ6jrmUBfRcL1PkvxdjU/G7CKuz11521+1bbAHMmgV07BguBFVtCidNAgYMsNf/j39kbsQn3fVyuKgWr3TdN/XFQ5KuiRLR92u1Hz5caN6gyNXGqj4GVgf+5KGbTp3sKM2dC8gLmUlPuvJ3++3ABReY7NQV4bF+EeGUtlV5R0ookbryZ9BRjPVLQqkPvNk2rOvUQeu//jLrkO4bXnst3gunTeJqqIzZ/sEHZrvlQlRO1uLUpO7vSuADImYFMn8xI8Rnc5LCn+rg6QOzUjjtpfJsr78o3QJ7niGupVcmpwcn3UT0pPDnc1iS5pTgbQjrkufTrp+MY2abj05pC3zyyDh0a9PN5a3LGE+qMFhBtNdLGbrzF/VakQV0L6MwBjYsoBMksICeBoUFdMvYYAHdBIMF9DQWLKDn+gPGArqBEAvoOeZSFtBzvUyR/16MTcUIcWn1hhvsXb3+ekDmh51ybQoHDQIefdTeiofFLQKZzyl6BHLxF30Lk9sC+RFIJqsrdy+9kS4oU9umbLfRVS4JqwN/t90GXHihiVybNkB5eby1JC88Sxtd+Vsh1iYtWwJWDfAuEb3gnHO8IpMMO135M9AvxvolGUyH30ob1qK61kaVtWtnXKFLF+lxT19+Cey9t5zYzJYOGQL85z/aznVxpySo9uk+1wWFU1zLSRJ/5756ri3ckRRNrxk7E/t8tyYL7/guwGUHZ/5piOVO8T2OrrzzHR9J4i/fPqqec7p2P0KI5889bVpLbwQllwKXHDYO0u2/keI0HnTnL+q1IgvoQb91IZVnHSg9K+5DvdZNbDVVoNRVc8U6d540Wlve1N3KckXDqTi/fmL/LleUq8oXbjhdSdx2IhOV70dUF3sEMlGx0bdS2PqJ/WunzCywBVF2difj+C1F2KaEv0EiNUpZfJlW/l5aq4K09RcD3XsZ6nLnu9pRsk5cFyBSPXc3hJ9WBR+qfEuYrOyTKjHIXC+ZlaxV1PcHkR/EGBS3J8hEjcNtFLaNifxmCtsSIp/KE2Zr2rgF10W1aGNqXioHNYiB+cQcJltVDnHUz5FUZVD1/byQrg9ziBe9XIHPHCJfNQ+GNT8qx5Xl1kC2mVSeom/KbFXcO7FydCZqzpQ21JynmgepOc/XPKjoSHs6v15796RQ2pCe29qKUehMVKxzaUPlq+ZBSrBX2bZZafEna2lMjZ+I/tHdoOdN1ZxJHUZSzZnU/Lra3q4F4uB2aeUJ3rBjc/sd6TrZh72p+PhjYL/97K7bpftceQlIfncNO+XaFMqQmNKVu7x9aCR5C3G2GHtSYOEULQK5+Iu2dcmt3eqGcP2G9RgzLePG1muStyXq166vdElolFMd+DviCOCFF0zkTjkFeOghr0jG205n/o46SnzkfM7EX/6dsl5OjTcz3lqnM38SgbDXL95Qrh5WSgH9UqEMjB+fHBCE+3lMnGi2V8ZAnzcPG5s0EWE4Mvumpk2bolatWsnpE7eUD0AkfAwk7W9V30f6Ysq8KWnU64jvbatF/PP6lu9uh4qwMK+IM0XOm+ZxuXEc9HBJGn9B97//Y/2zse7ri+9XS8WfxK1MBwQ4T3i3m7iv+jBF1B4JdOcv6rUiC+hBv3EhlccCOgEsC+gZUFhANwcHC+gmFiygp7FgAT3fP0osoBvIsYBeiQQL6Pm+TEV7LsxNxR/iwFjnzsA335jdEZ4/8dlnwG67FaeLXjaFL70EHH64vT2HHgq8+KIet0iLg3Q4tXjhL5ya9S3VeVtCfrgpX1Vuu1Hjpffy9oxM3dsIt7iKpDt/0iuw0FogD+IYSYrnUkTXIenM3yuvAHKet6Zvv03GRVqvY0tn/iQGYa5fvGJcXexIAb15c+CHH4BtVCfzY4jOzz8D7cVJ6Q0WtWv4cGwcO5YF9BjS5bVJus91XnFIql0S+TNuoncRd7xmPmAiL5aFaDIMGD7QfuPYsIhDzOugx0kS+QsKA8qt/3+fBU4Q4Z2MNG17YP/TMv+Kozt/3fmLeq3IAnpQb1vI5bCATgDMAnoGFBbQzcHBArqJBQvoaSxYQM/3jxML6AZyLKBXIsECer4vU9GeC3NTceWVgPgmaUvXXAPI/GIlr5vCE04AnnjC3qo33wQOPLBYLeV6KAS88sfo+UNAFcdRVYrzg4+083JjQnf+Pv8c2GsvO2pSn5Fu3HVIOvMn3beL0MdYavGec/nlwHXX6cBcpg868yf7F+b6RZ9REExPSAH9wQeBU08NpoJilnLGGcADFsVrq62w8aefsKzStTvfQC8mGcHUpftcFwxK8S0lqfzJtfSqshG4PnMZPZ2+EOeKJj9Li+fxZaCwliWVv8J6LcLTCf5HTDHj0Rl7pUO/A1560ixdHqpofQmw2HHWzMs+qtA2enled/6iXiuygO5lFMbAhgV0ggQW0DOgsIBuDg4W0E0sWEBPY8ECer5/wFhAN5BjAb0SCRbQ832ZivZcWJsKect8X+GuzBpqUgpNH30k3N25o3qE1l+vm8LlIkyQdOVuFVOkS9+ZM/kWemjkeCjYK38eimITBwKUiH7GXmfg/ln32yylq3bp5p1KuT7+6M7fhAkirqH4KGakHXYA5s7VZ6jpzp/0Pv3vf5t8tWol9gDiAIQu3pt15y+s9Ys+b3BwPXEJ6HKBJ2Me1KwZXCXFKunHHzOuJqQLkcq0adQoLJXu3UViAb1YRARXj+5zXXBIxbOkJPM3uUNN9JtjhkeduF8tnPuBn/ic8eTET6uSzJ+fflptnXsoa6z70ZNHYIlw497QErp17JHNcGUn88SmFNtfP+n1fKsP9Dnd+Yt6rcgCeqDDNbzCWEAnsGUBPQMKC+jm4GAB3cSCBfQ0Fiyg5/t3iQV0AzkW0CuRYAE935epaM+FsanYLL4j9OgBvP++2Q0Z7/yTT4A99iha19IV+dkU3nsvcPbZ9vZNmgT8Q8Qu4xQNAn74i6aFya3V6cpd9qRDow74caUQFxRJfiCSyXrjQrpyV7lx150/6QJcugI3krzYeN99yR0Tzpbrzt+XX7r/Jr3xBnDQQXpwqDt/Yaxf9GA++F64BHR5GlKK6ElNJ54IPP54tvWbt90WS//v/7B5661ZQE8gp7rPdQmkxFeTk8rf2KljcEH/MmxjiXd99NHAPhfyDXRfAyBhxlQorOHdh2d7IcX1luePwCCxxjTSe6Xi24jYI1hTVfunYkKS1PfPK0ZRrxVZQPfKVMR2LKATBLCAngGFBXRzcLCAbmLBAnoaCxbQ8/3jxQK6gRwL6JVIsICe78tUtOfC2FS8/DJw2GH2LpSVAaNHF61b2Yr8bAqlS9+ddgLmzTPbKWO4f/wx30IvPnOZGv3wF1Ubk1ivEYOx7N0yjJk2xlMX5G2JkT1HpsVy4+bF6F6jUba/eLkVSWf+5OXFRo2A1avNzj/2GCB1GV2SzvwZHMk5XnpMMdLxx9t0tURTqTt/YaxfEk14iI23YS0UotZPPx1ibUUo+ptvgN12s1X0vyuuwLoLLmABvQjwB12F7nNd0HjFrbwk8ifXwc88MgKfiMPX1tR8qPBmtpW3MEdx4yHf9iSRv3z7ajxn7J8oT1xyj/XJvWNw0bVv26opvVj82dm7HybPnQxq/2TszQptm9/ndecv6rUiC+h+R2RE9taBcljFTdiytdjlW1IFxDEYR6LypEnFErftpvIGdM/KiewFChCo/F8UtsK9JplWEblrFbZUvsrDCpUvblCRicoXfzjJpMrflrBuoiijBZEv4riRicpP0aY1U+tcP5Q2ryCNS+E9v9i2TRcRRKuEclW+JSZeFgAqT/5o+XiWtaXy5I8WVy5ZWypP/uhnDNZS8E+9pqoxaJ8iMgVSorrMb0bUV6Jog3v6wLISuhG+5iViDpMtKId7gFN50nYeYVsBOnjlsu+J/DmKPlP55QrbsOZH1TwI082U2SLaPSs9CBX9gGqCpIT1GnQh1LCg5kb5dEjzIDEkMm1t727yVu2Xkf1INXCTrZoHU2LEOlNKjEwqUcK8n/lVltlq6Up30fMVnFLTvJ85c4miXKIJznl0gTjwVjo983xFRYWIVar6I6caj5zvBYGgNxXSZfvuuwOzZ5u1p1LAdyIeWN26XloUrI3fTeFDDwGnnWZvw4svug8EBNtKLk2FgF/+GMncCDg/+sgPNmOnj01/0PGSjI8+Xj706MzfV19l5jprEn+q0nG1dUk682dwdNttwIUXmozVqyfiVC4GxIXUxCfd+Qt6/ZJ4wkPsgA3rTz9F6733DrG2IhV95JHA889nK9skTkQtEycmm2y/vQjjoPqwUqS2cTW+ENB9rvMFRgKN486fc71rHCK9WIT5+vebJuBzmtZCh/PFRrgyDe48GBMHTEwgI/6aHHf+/PXGuzW1DzL2WNf3GINzDhmN7SwXOEf0r4Nxr/0J6jmvB5O9t867pe78Rb1WZAHd+1iM1JIFdAJ+FtAzoKToockCugUXFtAzYLCAnh0ULKDn+pPGArqBEAvolUiwgJ7rpYn896A3FQ8+CJx+ur1bUd7K9Lsp3CAOrnXsCMgQmUaSbuflDcUkhvqMfIAV2AC//BVYnfaPU24HZaetLtmdIMib505x3avbQZ35myi+iVaGzM1srcTeyuq9QofBpDN/Bj/LxQH9EnEAWHogMdLdd7vDeSSRT935C3r9kkSOi9VmLbGWCzvpgsKS1owZgwYjR7KAXqyBFVA9us91AcEU22LizJ/z0Kk19vULTwCHf2/COrPfrpgx8mTbmrpP2z54e5D9JnJsicizYXHmL88u5fWYc491vziAf/rnZlEftgKmPel27++Mp+51j5VXI4mHdOcv6vULC+hBjdSQy2EBnQCYBfQMKOIjD5VYQLegwgJ6BgwW0LODggX0XH+0WEA3EGIBvRIJFtBzvTSR/x7kpmK9cGSx447AAotXjajF53w2hf/9L3DSSXZqnn0WkJeVOBUXgXz4K24Lk1eb80NNVT1oVL8RhnUd5hLYKZeFVDk68yfnCDlXGEm6bpeHhXRKOvNn5emII4AXXjBzunQBZoqbZUlPuvMX5Pol6VyH3X5tsT7kEOC117LwbWwh3JvNmYNaDRSeNsMGmsvPCwHd57q8QEnQQ3HlzymIWg+U1hBhfJbdJD6VWpw4fnTDhfj7sFvQ/7H+toOnut9Ejyt/UbwC1j3WweIw/mTLPkG2JzUEOPcoU0R37sm87q+C7Jvu/EW9fmEBPcjRGmJZLKAT4LKAngElRQ88FtAtuLCAngGDBfTsoGABPdcfLBbQDYRYQK9EggX0XC9N5L8HuakYPx647DJ7l15/HejXL7pu5rMplG7oO3UCvv3WbPeuuwJffAFxKym6vlTHmvPhrzri5LfPlIjebrt2mPvrXM9FefnIozN/8sb5zz+bcMkb6YMHe4YvEYY682cl4OWX3WE6ZNiRnXZKBE3KRurOX5Drl2QzHX7rtcX6gw+Arl1tAG66/XbUPP/88EHlGgJDQPe5LjCgYlpQnPlTHTq9runxuPx8cQXdkpZ9+ykeWP4W6dXJy5o5pvTkbFac+cvZ+IANrOOltviesFh8G2k0zhQ7AAAgAElEQVRiOWRx2YHA+G6AHA8yWT2ARTVGdOcv6vULC+gBv2RhFccCOoEsC+gZUMRHHyqxgG5BhQX0DBgsoGcHBQvouf5asYBuIMQCeiUSLKDnemki/z2oTcWqVcAOOwC//mp2af/9galTgRo1outmvpvCp58Gjj3W3u4nxHeS446Lri/VseZ8+auOWHnts7xRI1OPB3t4fSRtJ2/QpLZN2T725HIzqCt/0stGaakdvi+/zBy80Snpyp+TI+m+vZVwrblsmfnLFVcAY8cmm03d+Qtq/ZJslovTeq2x7tMns1itTJvFyZka8gRllIvX4tCqTS26z3XaEKXoSNz5O/fVc3HXp3dlWy9vol/2eQP0vvm5bN6CRrXx35euta2RnSGQcq2Zk8pz3PkrFq7UYYu7xQHNs0W0ECN90hL42znuFkUlnsuW6M5f1OsXFtCL9QYWWA8L6ASALKBnQEnRg4sFdAsuLKBnwGABPTsoWEDP9UeJBXQDIRbQK5FgAT3XSxP570FtKi6/XJymzhymzqaPPgL23TfaLua7KdwkXPPtuSfw1Vdm++VtxK+/Bmqrprpou6pl7fnypyUYAXTKGstx/Yb1GDNtjK9SR/cajfq166c/EMr/X7Z/WZXP68rfU0/ZD9M0bAisXAnUrOkLztgb68ofBfwllwATJpi/tG4NlJcn2+uI7vwFtX6J/YsYgwZqjfWUKUDfvnaU33kHkKdAOSUCAd3nukSQUEAjk8Bf30f6Yso8MVdUptdf2gb9Zq3J/vvVLo0x8OAV2X8bgqghqnpZMxcAYaSPJoG/sAGiXLHLOt+6ZwTeftRee/sLgLmWb+xRiueyZbrzF/X6hQX0sN++gMq3DpRTKy7HVq23tZVcjraumirgOE5faVGx0Z2/co44qk0lsdl0JUs8TNtvVL7KdrkCGCpf3IQiEyWg/66w3eCDCOpjaj3F86p8Oz2Zh5soyqDyRcgmMokPAK6UUtgS+VulLMfxLY+VNqggCymFOz8FalCI2xuELZUnK/Jlu849iOrRzQUWKbCg8gsQg7K1rCPqo/KkWaFjUJZBjU1VWC/xAdCVGinwaUbkU3nSrISwbUOXu7CZu0LlvKSYr+YRJ0So+U62oJy0pV+QinXueXDtd03pjswhsunXQDaCTlT+LwpbKl81Z5LjSly/IZPF51D2d5WtogjUIX7YWmFMXFXdSmFa6DxIzY2yKpp+oD3RDipPmDVqv9BlXFqLnoRSmOeybetjzvQzv8qKqLm0xdLVNMjziWzVXEodOlLNmZStowkLxLxYWhmTtKKiAq3l12xOgSMQxKZioRjuHToAMga6kWS8cBk3POpUyKZQxsSVsXGt6ZFHgJNPjrpX1af+QvirPih566kzlqP8YFO+qtx2q8ZLSfIGjUzd23TPaa4rfxdeCNx2m9n9/v1tYXRz4pIUA135o/CXHgT22MP+y5tvAgcKd5tJTbrzF8T6JancFrvdWmO9eTM2d+yIGjJug5GOPx54/PFiw8z15YmA7nNdnrAk5rGk8Je9ib4545q7heUb7umHAg/unYHcKYjK9beXNXNiCHM0NCn8hYVvVXHMx71zLU4fMArNfjNrv1w4PRlncQLGAnpYzGTKjXr9wgJ6uPwGVjoL6ASULKBnQEkphhmRzwK6BSsW0E0wWEBPY8ECupc/WSygS5RYQLeMFRbQvbw4RbEJYlNx9tnAvfeazZVxwr/5Jh7xYwvZ1ItvqujcGZg1y+zbLrtk+saePYsyPLU/FV8cFM1aVLEcVe1wup+Udn4+9BTy/hUbGz/17S0+klrnBenqW7r81i3pyp+KJyevJ5wA/Pe/yWVVd/6CWL8kl93itlx3rDfdfDNqDh1qgrrFFoA8HdpEdZuluPhzbVUjoPtcpzv/SeJPrqPvf2oEfrjdzko7cbDyJ3EPyM8aWRdek8Rf0JhTh5OHdx+erUb+vnTQkThimvnx6/PmwF7n2lvidO9fzEMXuvMX9fqFBfSg37qQymMBnQCWBfQMKCnFoCPyWUC3YMUCugkGC+hpLFhA9/IHjAV0iRIL6JaxwgK6lxenKDaFbirmCG8bO+8s3X+ZzZWC+t13F6X5OSspdFP46qvAwIH2amSozAMOyFk1GwSAQKH8BdAE7YqgRPQDUgfgnXLhstaStqy9JX7bYLkyYfnN6wdCHfn73/+AbYXXMBnmwUjTpgE9e2o3VKrdAZZbbwWGDDF5rCe8xv0iPDxJF/1JTDq+f1YeCl2/JJHTqNqsO9Ybly5FzTZtUOOPP0yIb7oJsIrqUYHP9eZEQPe5LicACTdIGn93nrM3zrvHPF29UDhWbC3CwIzrOw5W8TThtHhuftL489wxj4bW8FhW/o388XUG4NKR4oOCJXW+dGscc/hIMiRWsd3+685f1OsXFtA9vkhRm7GATjDAAnoGlJRidBL5LKBbsGIB3QSDBfQ0Fiyge/lLxwK6RIkFdMtYYQHdy4tTFJtCNxWDB9vF8vr1ASmql1ChO4rSI3slhW4K5S10eev8++/NcuPinj4COIteZaH8Fb3BCajQeVtCNrlx/cZYsd6M3ejshhTMZZKxz43kvC1BdV1H/t56CzjoILO3dcQSZ7UIQSLnPt2SjvxVxdFyEfpI/u36yxKp6J57gLPOSiazuvNX6PolSax+9tlnmDx5MmbMmIGvv/4aS4XgW0dMPiViwHbt2hVnnHEGevSw+IQNuHO6Yy3flT+POQb1n3/eRE7GJpKLP3Y5FPBoCr443ee64BGLV4lJ429Gn/boMXVuFsQndwXOH9QIK4ap19HxQjzY1iSNv2B7nynNeWPcuteqKQ7cLrzZ7vL/it7icOaYcejWppvNvb/zkLOXvVah/dGdv6jXLyygFzpCi/Q8C+gE0CygZ0BJKQYhkc8CugUrFtBNMFhAT2PBArqXP2gsoEuUWEC3jBUW0L28OEWxKWRTsUT8Tdx+e8B6YUde1pGXduKSgtgUOm8lShf15eXitkHruPRS33YEwZ++6PjvmfGBx7gV4aUE6cZ9ZM+R6Q88fm9F6Mjf6NHA1VebyO23H/DBB16QTJ6NjvzlYuGf/wRefNG06tIFmDkz11Px/F13/gpZv8STMbpVvXr1wvTp03M2+eSTT8Z9992HLaT78YCT7ljLd2XVK6+gsZwArGnKFKC3UDo4xRoB3ee6WIMfQOOSxt+cprXQfrnphuiC/sDtf6+e7tsl/UnjL4Ah66kIqxh+h7iAft4n5mOzWgB7i0sIVo9eVcVS91Rhnka68xf1+oUF9DwHZrEfsw6UiyvORcPWwreIJc0jVNQKlJLNpPIrVtO2v88RwT+cqVzR+wVEPpUnzYQLNTJR+asUtlT+7wpbKn+DwrY2kU/lSTPhDo5MWxG5wkUgmahwTGISJhP1gVf10TdFlJCyHMO3/Nxi+wqyujZw55cSefLhFNwDQ2VL5VPPy3JLsMjVthaLxPUQKrlNM1ZU9yjRR9pSwvpKBR9UM9YpbKkxaHGTq3jKnl2XsFKNwQaErcptIfGagxLVM4S4Uxu69X8R00pFQ3pwV4AupJyY26g82QJqHixHW7Jx1DxYviRF2m76jgBT3Mokk/s1yJhR+X7mR9WcSc6P4polmYSvUlei5wTAzwRJieqyIvvfqUzVNeimUfOjKlQdNYT8zIOyBRTVNP1AezeeLdrNI/tBzZmquc3PPOhnLlXZNl1EnDpTzZlU/mLFsKIOaDvmzAVi6JWKm18yVVRUCLGS1UoFmgVlF7KpGDUKuPZas3p5E1MKy3G5fS5bFsSmUN4ubdUKWGf5W33VVcCYMQVBzw97QCAI/jxUUy1MnC4GpZg+dvpYTJ472VP/R/cajbL9y1y3LKp6WEf++vYFpKZipEsvBcaP9wRh4ox05C8XCS+9BBx+uN3q228zoUqSlnTnr5D1S5K4bN++PebOnZu+bX700Uenb5q3Ee7GJb8fiNM7N4v43QtlvG6Rjj/+eDz++OOBd093rNPvirjV30QcVqj9448mfsceCzz5ZOB4coHBIqD7XBcsWvErLUn8XffCJbjiiAk2EDuL0GWfVX7v9BriKH4s5N+iJPGXfy/9P2kVxHuJz4DvPmwvo/0FwNzGGRFdJquXr2KOI935i3r9wgK6/3cnkidYQCdgZwE9A4of4YgFdHMgsYBuYsECehoLFtCt8ywL6Fk0WEDPQMECeiTrPz+V5rupkGKy+H6LlZaDD6edBjzwgJ/aw7cNalPodFXfQhzK+flniJte4fehOtcQFH/VGUPZd6fbdupjjRMjefPcKa77dSWoG38bxDJHxj+3HqZ54QW34KrLeNONPy+8SPft8rye0NKyafhw8YEz830zUUl3/vJdvySKRNHYAQMGYNCgQThSxI+pJV3gONJyEXugW7du+OGHH9K/yNvqQbtz1x1r413Z8t57sY08IWkkeTJ0gTi93kx1SyBpo0nP9uo+1+nJmtmrOPLndMktWysF0ffvGIGXLWdq1okp4rY3rsHl08Wp8spUTPEzDmMjjvxFjYvzNjnlxv3yPmJtSUReKfb40Z2/qNcvLKBH/TZ6rJ8FdAIoFtAzoLCAbg4OvoFuYsE30NNY8A1069zJN9CzaKSIvylUnjRjAT0DFgvoHlds0Znlu6m47Tbgwgvt7f7mG6Bjx+j6QtUc1Kbwyy+BPfaw1yAvJcnLSZzCQyAo/sJrYXJKdn7Mqarljeo3wrCuw2y3IaS93486uvH36afAPvvYkZOhLHTVVnTjz+vbKkORiEu92SQPTAlHOKit8i7nteAi2+nOX77rlyLTUJTqXn31VQwcODBd14VicXbLLbcEWq/uWBvvSo1ff0WzvfZCDWtsohtuAIYNCxRPLixYBHSf64JFK36lxY0/p8cmiZixhr7+LXFT+H0Tw1m7bIe9Zq/M/m784ne9HD9WvLcobvx5b3k4lpQrdlnT1hePsLlx/7qkNjqdbb+AFMW40Z2/qNcvLKCH854FXioL6ASkLKBnQGEB3RwcLKCbWLCAnsaCBXTr3MkCehaNFPE3hcqTZiygZ8BiAT3wtV3QBeazqZC3MDt0yLhrN5K4IAURPjJ2KchNofCaivfeM7so/+0hLGnsMElSg4LkL0n9DqutlIjeuH5jrFhPxdWgW+Hn445u/ElN6qKLTFx23BH4/vuw2Iq+XN3484qoPAy22252a6FP4pBDvJYQDzvd+ctn/RIPZoJvxdq1a7H11pkwWIeIgSoF9SCT7lhb35Vml12Gmo89ZsLXrh3E9X6gZs0gIeWyAkRA97kuQKhiWVSc+MvlsWm68LTWY74J4/STeqDno9NdArq08LNejiUxHhsVJ/48Njk0s6rimN88diAuvdL+t9lw4240KIoxozt/Ua9fWEAP7XULtmAW0Ak8WUDPgMICujk4WEA3sWABPY0FC+jWuZMF9CwaKeJvCpUnzVhAz4DFAnqwC7sQSstnUyFvXoswm7Y0bRrQs2cIDSywyCA3hVS/5c30Tp0KbCQ/rkQgSP6qM8yGK0rnh0EvmFDu3r26cteNv2OOAZ55xkQtjmErvHDq1UY3/rz2W9r9/e/A//2f+cQRRwDPPeenhOhtdecvn/VL9KyE04KVIp5O48YimKpI8ib6yy+/HGhFumNte1eEWF5LxEK3pbffBvoIf7ucYomA7nNdLEEPsFFx40/lsamOOEC+RoRzqWe5NDzr/rF4c8daLo9NBjxRCKIBUuOpqLjx56nRIRhRhy+GdxcxgCrTxr/+xIrt6qHZus3ZPMqNu9c9VlBd0J2/qNcvLKAHNVJDLocFdAJgFtAzoLCAbg4OFtBNLFhAT2PBArp17mQBPYtGivibQuVJMxbQM2CxgB7ySq/w4v1uKjaLPZ90YfzZZ2bd++4LfPghUKNG4e0JuoQgN4V//pmJ+y5dNhtJxkafODHoVnN5BgJB8lddUXW6ojT+7RWPPm374O1Bb2dv14zuNRpl+5d5elwn/uTc16qV+LNm+bt2//3A6ad7giKRRjrx55eAu+8G5PxuJOm+fZHYMzZt6rek6Ox158/v+iU6JsKv+YUXXsAR8pSHSJeJG9Q33nhjoJXqjrXtXWnSBLX23BOQriiMdPTRwNNPB4opFxYcArrPdcEhFc+S4sgfJaJf1+BwXH7ZizYQb3xlBIZ/KlT1ylTIodN4spO7VXHkL3erw7Gg3P/LmoyDzNMP6YSer32drfwzESLowIvNsFnOPZbxXDitzZSqO39Rr19YQA9z9AZYtnWgXF1xHLZrbVfHKlDqqq0cKbIFVP584nn58C8/u8tFeR26Z+VE9gIFCKr8Xwj75YoyKAF9rcL2dyKfylNxpoqTpsrfiiiIypNmTQhbKk+aiUnZlXwJ6HQH66TWkD+UNhZB4hwphXm0Ldy2bYV8SaVSwpbKk8+miDJK/qCV8gbzNtEdpMxVYjuVr/KGuZKobp1iEFFj8w/VgPORX1dhW4/Ib6iwpfKbKWyp/BKFrRAnnGldW9plWkVdYq4RD/uZ2+ahras+P/PgPMWc+ctcd7mYo1CX5iiwoF4F+vUAqPmRmhtlVdT8qJoH8RfRuPWKBqvyKXPVRFifMN7S++BWzYNUvmoeDGB+JIdFe/oPyPat3KT6mdtUtqWw+BezIOhnLi0hFPCmixSDxc+cuZSg1DE3LhB/r0uvz9hViOCjrVuriPE+PNjSjYDfTcWUKUDfvvZynn0WOPLIeKIb9KZw1Cjg2mvNvjYQS+uFC4GGqr+V8YQlMa0Kmr/EdDyghqpuQ5z76rm469O7PNcyuPNgTBwwMfsByOuDOvE3T2xldtjB3vPvvgN22skrGsmz04k/v+ivXi220GIP/btl6TZhgt2Fv98yi22vO39+1y/Fxr9Y9W3atAldunQRHhMyLhM+/vhjcdBRnHT0kSSWVaXF4uTQvvK0pEjlIn6Pbmty+a4sX57ZIDcRAnrtO+9EzYsvzkKyWZyg2fTzz0Dz5j5QZdNiIeDkr1atWsWqmusJAIG48nfzzJtx5TtXZnt4x/ftcNbjYuFXmb5vUQedzjUBuPaAa3Fp10vTGcazI3uMxJU9zTICgCt2RcSVv6iAmlkxE11Lu2arv3b6tRg7Yyzk+Kgz7T1cPMoe827nIbVx+pFj0aW0i+25Yo0h3fmT65tUKpXmI4pviiygR/Um+qyXBXQCMBbQM6AEIBCxgG4ZXyygZ8BgAT07KFhAz/UHiwV0AyEW0CuRYAE910sTyu9+P0D36we88YbZlPbtASkixfVbVdACgvzGLPdg4ltrNt16K3DBBaHQU+0LDZq/6gio8xZNv3b9MHnuZN9Q5OOGUif+Hn0UGDTIhE1oLFgqDoPF0fOGb3IVD+jEXz6YnHQS8N//mk/KcB1ffJEcznXnz+/6JZ8xkIRnbr75ZgwdOjTd1H/+8594/vnnfTe7ho+J7NNPP0VJieokvO+qY/GAPISwWp6aEamhOBFZa80aNNtrL9SwnKBZU1aG3845Jxbt5UbYEXDyV5Pj1SdqiMSZv+dmP4eHv3g4jef1D81Bny9/zWL7wn5Ncf0xYlMo0il7nIIjO9pPk89eNhsdm3ZMFBf5NDbO/OXTnyCfkWNgxNsjskXW3LQZk8o+R+O1ZhyA2w9pjUf6tLSNIeu4kw+P6zsutLGkO3+LhPuozp07pzlgAT3I0a1ZWSygE4SygJ4BhQX07ODgG+iW94RvoKfB4Bvo1rmTb6Bn0cjsj+yJypMWVD7fQDex4xvosVlx+vkALeN977GHvenSfbnVzW1sOlbZkDAEBHnb3vp9euedgdmzkyOqxI2jqtoTBn9J6n9QbVXFc+zQqAN+XPmjshqn2O5XRNeJPznPSbfeRjrsMOBFuyfPoOiKTTk68ZcPqFOnusMei8u96TAmSUi68+dn/ZIEvvJp47Rp04RXoL7YsGEDmjVrhi/FQq15HrekWUC3C+hSgG0oTkbWly6WKtOfQlBf+dpr+dDEz4SMgO4CUMjwRV583PlLi5mfP4TXyr5Ak/+Z38bGHNcWk/ZtQornkYNaxAbEnb8iQkFW5RTDhz9bjiNnLsvaftdqSwy6dNf0v+VBDJmMQxtGnvNwRpB90p0/FtCDHC0al8UCOkEuC+gZUFhAzw4OFtAt7wkL6GkwWEC3zp0soGfRSBF/U6g8aUbls4BuAsgCemxWn34+QMvbl/IWppFkLFjp0bI+FXkhJj0MQ0Cg3NjLvN69Y9JpjZoRBn8aweOrK0637VIcnzF/Btb9RccRMsRyp/g+47QZ6N6mu6e6deJvt93sIXFvugni1qcnGBJrpBN/+ZAgLqWiXTvpstp8+rzzgDvuyKe04j+jO39+1i/FRz/8Gr8RMbp79OiBX3/9FXXr1hXegd5Ar1698qqYXbjbXbinXYBPnoxaAwbY8Nz4/feZSYFTrBDQ3QVxrMAOoTFJ4G/co+dg5Gn323rf8cLaOPWosVm37SFAk4gik8BflEA6QwHs/9MmvPmwxZWdaJx04/5TI3e4T2tYgLD6oDt/7MI9rJGjWbksoBOEsoCeAYUF9OzgYAHd8p6wgJ4GgwV069zJAnoWjRTxN4XKk2ZUPgvoJoAsoMdmxen1A7R0VSzD0P9lmRKuvhqQMcHjnMIQEDZvBjoKj3zSdb2RThEHxh96KM5IJLNtYfCXTCTyb7WMg24I3n0f6Ysp88RpDw/JiHsuTQ0RfXSv0Sjbv8zD0xkTXfgT+hQaNbJ3e+ZMiLjDnqFIpKEu/BUC/pgxgPDcnE3bbguIcNCoR+2ZCqkohGd158/r+iUEaCMvct68eejevTvkzSop9j7zzDNp9+1hJd2xJt8VueCVruorY6OnsR07FrjiirBg5nLzRED3uS5PWBLzWBL4m3rtmeg9yhTQl24J7HLVdlgx3BGDLjGoB9fQJPAXXG/9lUR5AKsltPOF/waaW84vP3BMB5zR0e4RzK/XL38tM6115y/q9QvHQM93ZBb5OetAmVjRB41b268IzSO+8JejLdnKCpS68lUiU8UfbtvVc1rQvS8nsqk8aSbiTpLpFyKXypNmlIBO5UnbtUS5vyvaYIawyM2yKvQvtRHfSlGc2Ly7kojFRyYqXyWgU/kpRbmK/EbtF7oeKK1VQRZSCnd+CvNI27ZC1nQm6nlpQ5dLD6wWSzPxrlxpPpFHdwOgYqBTApEscgVRrqIJoPL/UPChyqfMxaFqMlFjsIHCtiGR7/i4mLVoTNiqQqdR+fS0hDVt6pCNq6jlnoOo+U4+TM15QQjo5RvdjV75XSsazDkKjKl8ehjLjriTah6k8pcr2kDOeb8pjNcr8gudILdRlEvwr/qgSc2DqjkzrPlRxIqmUr327o1XaUPvcyY1N8p6/MyPKtsSYnJrSU54QlyoIAYLNTfKxi0hkHDGQBf/Lr00YxdFvCLFoNMu2+um4sYbgeHDze6Ly05YKP7cN6bm9xihFNamUIQctd0+3XprMazFuI7zbfwY0eK5KWHx57kBCTcse7cMY6aNgfUjjPMmelVd7NO2D94e9HbaxCrEe4VFF/4mTQKsFxGleLpK7B/lPKhz0oW/QjiSXlbaiiW9PDhlpCeeAI47rpBSi/Os7vx5Xb8UB+3i1SJFc3nz/KeffoJ0vf6QOL03SLoICjHpjrXyXTn3XOCuu0xkO3WC8JMfItJcdD4I6D7X5YNJkp5JAn/P7N8MR08z3W6/uBPwz+NFbOo+4zC8u2WDnCTgA2prEvgLqKu+inGK53KsyDRiygjc+Spw7idmcV+2qoM9zrJfXCrW2NKdv6jXLyyg+3ptojNmAZ3AngX0DChhCUSiaBbQK8cdC+jmC8gCehoLFtC9/D2kThixgG4gRwndLKB7GVdso0LAy6ZCurHt0AHiY61ZivxW+/DD8cc1rE2hPDxQKs5qWUWVp54Cjjkm/pgkqYVh8ZckDPJtqxS8ezzYI/u4yiW7tXxp8275u5g8d3I223oT3W9bdOFv5EjguuvM3gvtCtOn+0Ujefa68Fco8iLENGSYDiMdeCDw5puFlhr+87rz52X9Ej7Kxa1hubgNLd20z549O13x7bffjvPPPz/0RuiOtfJdkRO90y3+118Du2bi1XKKBwK6z3XxQDm8VsSdPymEHnzUCOxpuQAwTKwLbqqMZlQsoTM8BgorOe78Fda7/J5W7cFkaXI8vXHvCEx9xF52uwvFtxbHhTQ/YbPya6k+3sJU/Y96/cICer4js8jPsYBOAM4CegYUFtCzg4NvoFveE76BngaDb6BbxgTfQDfBKNRDB99AN7HkG+hFXhGqq/OyqZBCwcEH28tIivviMDf1ffoAU6eauBx2GPDii7GhVouGhMmfFgDl6ITz9oOMe24Vx62P16tdD2W9ytI3I5wp34+DuvDnfNelN45xmYskWidd+CuUpMcfB0480SxFXPpNx0Vv06bQksN9Xnf+vKxfwkW4uKWvXr0avXv3xmeffZaueJyYhIZbXQOF2BzdsVa+K/IEqTwtKW79Z9OVVwLXXBMi2ly0XwR0n+v84pE0+7jwR3lakuvosZNG4NcbgFoWTzQTbjwCl/z2fBbqfNfJSeOKam9c+IsblpQXMNlGOc7em/suTh8wCs0sjj1HiO8K25WZt9SdYbPy8QTmBRPd+Yt6/cICupdRGAMbFtAJElhAz4DCAnp2cLCAbnlPWEBPg8ECumVMsIBugsECehoLduEegwVegE3wsqk44gjghRfMSnffHfj8cwjXoQE2JKSiwtwUPvAAcMYZZsPriKgSv4gQGc5YySF1rVoUGyZ/1QJA0Ukq/p6XvjvF9nw+DurA30YRq1DGvV5rCe0lD8rIAzO6Jx34C4Kj9SJCUcuWgNAvs0nGRR89OojSwytDd/68rF/CQ7e4Jf/222846KCD8P7776crHincYlx77bVFa4TuWFf5rlxyCTBhgol1u3bAjyJWbRIWwUUbIdFWpPtcFy264dceB/4osZgIXgcAACAASURBVNNYP/edC7z1qInDnyIcZo3Va/DvWXfaDp3ms04OH93wa4gDf+H3Mr8anKK3dZw1uuQKnPWxOKRVmT4WoUz/tjBzSsP5nDEWnaJ6fq2yP6U7f1GvX1hAD2KUFqEMFtAJkFlAz4DCAnp2cLCAbnlPWEBPg8ECumVMsIBugsECehoLFtCLsIArYhW5NhXSVfn220v3Xmaj7rxTxO0SYSGTkMLcFEoxpXlz4I8/TCTuvhs4++wkIJOMNobJXzIQCKaVfuKeyxpV7t79uhLUgT/prVeGvbWmxYuBFi2C4SbOpejAX1D4nnceMHGiWZq8lDpvnriRJj6kxzXpzl+u9UtcefHbrj///BMDBw4UYQMycQOGDBmC//znP36LKched6yrfFc+/hjYd187fjJvn30KwpQfDg4B3ee64JCKZ0lR80e525ZIGR6ZrnoXGCP+M9I37bbGrnPWkAdUq6OIHjV/8RzV7lY5x1lvERpvisON+7iHz8aIQeJjgiU5D0L73Yvlwkd3/qJev7CAnmsExuR3FtAJIlhAz4DCAnp2cLCAbnlPWEBPg8ECumVMsIBugsECehoLFtBjssgLqBm5NhVXX22/ZdegQcaT5TbbBNSAkIsJe1N41FHAc8+ZnejZE5g2LeROVaPiw+ZPdyitNxj6PtIXU+ZZAjlX0Xlr3PNCbj3owN999wFnnWWCJd12//yz7iMn0z8d+AuKKek1u3Nne2mTJgH/+EdQNQRfju785Vq/BI9oNCUeeeSReP75jKtg6cJdiuc1qrj9vMUWW2DHHXcMtLG6Y13lu7JZ3Ajs0AGYK66hGunSS4Hx4wPFmAvLHwHd57r8kUnGk3HgrypvTdOfqI8e3wtXNJVp+lH74oMhR5Ahj6RJdRPR48BfMka63StYLXE5YfHNQFOLG/ehB4p/XyXCs3QXsaJEco7LMMaW7vxFvX5hAT0hb6d1oDxdsSeatd7C1nJKJFIJR/OQcvW6AuLoNZHK0dZtu4K2/auc+AI7RwHwAh/5woUmmZYTuVSeNLO46ss+ReXJH0mRyedAqU3Yb6Uog8oX7gXJRN2QaKKwLVQgksWm3GC0blVBVpgSUqUzlcK7bVuIo/9EospQlVu6ka5vm5/+cpdMmwo1gWgElSfNlhK2KxR8WFwFZi3WKWwtN+BsFht8jENqDNZVPC9EFFdqqLBtRuRTedJMuK5xJSpPGu1A17es1P2CqOerlKsQP/MgNd/JAsn5dZ27Lmm79rumdEeouVA1P5YTRfiZM1XzIJWvHFOW1V/OQUi8X8qhWl/xC5Wv8ClNzZmq22N+5kfVYSSKakUMdOLPKxq2p/+IldZ1T0LUPCoBU855xByrsi0hJjcqL/3qbnRPetssUvBMzY+OeXCBGHulp2Sor6ioQOvWKrCVA4d/8IBAVZuKDeJdbyuWdAssc4kUku65x0PBMTEJe1MoXdtLF/fWJMW1uMfGjQk9OZsRNn85G5BgA6c7Sr+u3Pu07YO3B72dRiDfuHs68CfnPCmiG+mYY4CnnkrwwPDRdB3489HdnKbywumnn5pmhx9uD2+Ss4AiG+jOX9QfRYtFZ1ViOdWG7YXboPLy8kCbpzvWOd8VGfd87FgTU7knkYu9mjUDxZkLyw+BnPzlVyw/VSQE4sIftU6+vte1OK/fldjG8q311mG9MGRL87S0FDVlMm6sy/8f9C3hIlGRVzVx4S+vxhf5IecYu/tl4blOHNA00ketgP3EvoMaU2GI57Je3fmLev3CAnqRX7J8q2MBnUCOBfQMKH4EopRiBCrzWUBPI8YCujlwWEBPY1HOArplMmEBPQsGMZeygC5EWxbQ813++Xquqk3Fy2JT54zz+8kn7lt4viossnHYm8LfxZJHunK2xsYdJ76jDM8cHOdUIAJh81dg82L7uNNNoDOeOdVw+WHm3fJ3MXnu5OzP1pvo+XRWB/523x346iuz9zeL2yIyJG51SDrwFyRPMkTH4MFmidJ9uzjfl46PHsekO39RfxQtFucsoIePdM53hYrlMX060KNH+I3jGnIikJO/nCWwQZQIxIk/143fpidg+PmP2+BpIRxQLNk6k2UVNQvx2BQl/oXWHSf+Cu1LmM9TBzQOFJej3nzMXuv2FwHzHZcjwxLPZc268xf1WpEF9DDfqgDLZgGdAJMF9AwoLKBnBwffQLe8J3wDPQ0G30C3jAm+gW6CQV2A5hvoWXz4BnqAC7giFlXVpkK6pn39dbMxf/sb8H//V8TGBVBVMTaFZ54J3H+/2VgpuH3xRQCN5yK039SHSbHqxrn8CHPF1CuwafOmbPUN6jTAqJ6jSHeUhXy0Kcb7FyaG//sf0FB4V5IefI303ntAt25h1hqfspPOX9BIrlkjvO0Ir1jrLN7A5KXUK64IuqZgytOdv6g/igbDUjJK0R1rT+9Kp074f/auO0CqWnt/9CYgHXEXdgG7PsvDRhEEnj8QG6I+K6iogPLEQlmxsCgqoogFFbtib9hQEEUpKir2gqiUlUUEpIuCgvBLZnZuPdmdO3P7nLw/fGRzU74vyST5knMghfRUGDQIuPfeaBAY81qmxV/MMYhy88LGn3H9PHA+cJ9w15IKixsAbYck/0WtjzO12MT8RRmBiutOmWKXX10zowgrhTeQRrqHAFxxDDChvZ5nNvuwimvGAno6GGWThgX0bNDz8VsW0AmwWUBPgsICutY5WEA3jBMW0BNgsIBu6BMsoOtgsICewIJNuPu4kPOhKNWhqLT+2Vq4yTAKR1IkPv98HyrlYhF+HMq89570S2qutHyxuv/+LjYkR7Pyg784Qzto6iBM+myS1kT5Ev3wvMMxevbocpttfbGeqSnKqPNnHdtVxTpZiqi1VJ5lYtaZos6fF3RYL0xJNyeLxAuiMFpyjjt/cRd1vei/meYZd6zTGivytow05Z4KjcWB2q+/AvKHgUOgCKTFX6A15MLLQyCM/KUEz8lTgHO+1mv/hLgk3Ve47vJa1IxSjwkjf2HCrzw/5vJvjS8tQv8v9Bp/KM4cO4jL+angdV+LO39Br19YQA/TaCynLiygE+CwgJ4EhQV0rXOwgG4YJyygJ8BgAd3QJ1hA18FgAT2BBQvoEVkEpllN1abi6quBm27SM5GvMH/5BahTJ82MQ5LMj03hDvGQV/o8l/ikQlERcPPNIQEhwtXwg78Iw5NW1btP7o6ZS2emlVYmSh3UuGGKMur8SXcMV12lQ/fvfwPSjUWuhKjz5wVPH38s/FMeYc55xgzgP//xorTs8ow7f0EfimbHTrS+jjvWaY0VeVNmjz3MxL31FnCMeC7IIVAE0uIv0Bpy4eUhEFb+5Dr41OOL0HqDXvuBvYDCorEY0ZF9daVQCSt/YRh1VpdalBg+4bpjcPkNb5uqm3e5OFcQZy+pkOlF5nQwiDt/Qa9fWEBPpxeGII2xo7xT2hLN88zqWCnybbVcigKy5iUQ16stQSUyOcl35c/2OqCkGo1eiQLU5UQ8FSeTrSTSUgKRTGb4odS+2qyoAxW/3YVOUFORxy5EvMVPhpaCihf+OslAxTsxUSwzJbrQLm1/I4vLryMcx1lCPuxxyWztHYCKS6Zdmna+qvJarrPXudISBW5UlVU+0Kn4tYp81xHxGxVpDeYETSmofviPg75ZQ5GWijf8yJu+ouIpv+jyIypemEskgxAsyGCfrrCyBV05ah5zYx50lO9aosKiYdsW1rM3T+zdyWAfHvImAB2o+ZGaG+XXVDw1N8q0yjmP8ndusFPkoDuak1JPwBS/H9TlENVFIlW8k/mRmjcLFA1tS8QX0D7im7eyTzYtFXOmam6j4p2k3Q305EYJ683+Wk02us4K3XSwlsCSdLn4d/4Jyb+WCiejeXmqH6OMOxB/KBCgNhV//50UhFet0iH63/+Au+6KHmR+bQqHDQNuEybYUkHit1QsRcL4KjFKLPrFX5QwSbeuRjOS1pfo5eVh9HuerSnKqPN30knAq6/qaF1yCTBxYroMRD9d1PnzggFpleWgg4CvDS/STj0VeP55L0rLLs+48xf0oWh27ETr67hjnfZYOewwYL6w6ZwK554LPPpotMiMYW3T5i+GbY9Dk8LK3+ol36BpG/Hk3BA6XroL3r9T+PfhoCEQVv7CQlHxrOKE5S+Vyf/DmxyMzQ13QYOteo2H9aqGxkU3JFxrjeo8CsVdik3NyXZ/Zsws7vwFvX5hAT0sI7GCerCATgDEAnoSFBbQtc7BAnoFEwkL6BpATi4SsYBu7FcsoCfQKFCMNRbQk8CwgB7I6pLaVLzwAnDaaebqSLeP++0XSBWzKtSvTeGXXwIHH2yu6pw5QKdOWVU/5z/2i7+4AW09rFH5Q1e1u1thN7zT952sYYkyf1Iolf6uVxr2jpMnC1Oe52QNS2QyiDJ/XoIsL1HIS2WpUE3c3VwuLqc2VV0O9rIy5eQdd/6CPhQNiNZAio071mmPldtvB668UudAmmdaLTYw1asHwgsXmkQgbf4YsFAiEFb+7riqKy4bK/x0lYXfxTDfVVgYu+k//ALd2JHCyl+YOjsleKf2atJt1n9vm45zv9JrPFdcxP/wqbHo0LIDOrbsaGqKGxbCcom/oNcvLKCHaSSWUxcW0AlwWEBPgsICutY5WECvYEJjAV0DiAX0Mij4Bbo+aFSPovkFegIjfoEe/gUjtak49lhg2jS97h3Fvm3u3PC3haqhX5t6KbbJCwbff6/XYsAAYJLufjqaAAZca7/4C7iZrhZvNRdo9WdOFSZfRcwqmYXpi6drfza+RM+0glHmb9kyoFUrc8t/+AHYc89M0Yjed1Hmz0u0N4h18G67AVsNr4XGjQOkJZIwhbjzF/ShaJi49rouccc67bEib8rkWyxovi1M73bv7jUFnH85CKTNH6MYSgTCyJ8UKbePLMLVhv3vewVA13OTEHrtlzqURCkqFUb+wo6fda/WS+wvpj6j11raasy7AhjS23xZw3oh2g3T7nHnL+j1CwvoYR+NZfVjAZ0gigX0JCgsoGudgwX0CiY0FtA1gFhAL4OCBXR90LCArmHBJtwjsji0VNO6qahaNQ+77w5Iv96p8PjjQN++0Wyfn5vCG28ErrlGx6lhw+TrVfk6kUNmCPjJX2Y1DOdXqhfnNxx9A65971pTpevVqIeRHUcmzARaQ7YHhFHmT5rk/u9/dUQaNADWCpdLlSqFk3MvahVl/rzAw5hnv36AtEiQCtI1srxgEab+EXf+gj4U9bqPhSn/uGPtaKxYzbhH1cdRmDpYlnVxxF+WZfHn7iMQNv5Sa+i3xf63u8Ez6NO9WuKsQ8XtyrKQ7RrZfSSDyTFs/AWDgvNSez7ZU7u4XF24wlx9K1D/Lz2fwT2Bew7XL2tY93Zu9b+48xf0+oUFdOdjI5AvWEAnYGcBPQkKC+ha52ABvYLpiQV0DSAW0MugYAFdHzQsoGtYsIAeyFIv60Ktm4rnnsvD0KF6tnXqJEXgXXbJuqhAMvBzUyh9nrdubW7mO8IKdrdugTQ9FoX6yV8sADM0wur3XL5Eb9uwLSbOL9+Jt/XFejavG6LMn7TSK631pkKPHmbLHHHrL1R7osyf1/y8/77dRcd7wtJrly5el5x+/nHnL+hD0fSZiH7KuGPtaKyMGQNca7iIJk2VyAVgmG7PRL/LOWqBI/4c5cyJ/UAgSP6sprVTImVlcZF8/Vig3t86AvMnjsS7B9YzXTh1S8T0A2evygiSP6/a5HW+1EXnyVOEm6iv9ZJni5+WLucl/23dm7nZ7+LOX9DrFxbQvR5NLuXPAjoBJAvoSVBYQNc6BwvoFUw4LKBrALGAXgYFC+j6oGEBXcOCBXSXFm8+Z2PdVPTqlYevDZs3+fJcvkCPavB7U9iuHfDZZzpa/DApu57jN3/Z1TZ8X3ef3B0zl85Mu2KpAxm3/OtFmb8OHYT/wQ916EaNAoqL04YyFgmjzJ/XBFBuO848E3jqKa9LTj//uPMX9KFo+kxEP2XcsXY0Vr75BvjXv8ykfiWc11rjok97ZFrgiL/ItCp3KhoUfykf1Na1r0R+39XAd/eaOViz6Gs0bnMAjC+HZQo3xcwosh4Uf1HEStbZKp6nxPHjFwKvPau3ShoDbCEu866qa26p2/0t7vwFvX5hAT0iI9XYUb4srY0WeZVNNS+FxX+P+GsJCsjWUfFLlWkLbXlQZclEpf/Y67BukbAdSoVFCuCFKyJboOJkIip+jSJfKl4lHG0m8jD4RTP9VZjnSDtUVaSsScSrXoftSqRtrMiXEtZVYjvdVUB2iwLhHJQITdqU2mLzoZvFMf6xUPROaygg4mQaKl4llBfAYJfHUACVvuFSBalUFisUGFPxqrTCVKQtrFPk+4eDeFUfpOJVfZAS1sVLRTJQ8Y0UaZsS8S0UaVXxLYn09mkpkeiXpsLGriU4mduczJmL0JZsiCqP0lX2+XHHQgXI1PxoHzLJ8ql41ZyZ7aUjWR7Z3+g5AdiiIJuKpuwiO7CVTM2NshhVvJP50YkPdCot3VVQrWCTDYj8RvZ5VCZSzXlUvCotJYo7SdsUq0g+m/3xmy2+ptioGsPyX0UbhIAhQ2lpKfLyVLcVHHQZTmpDwLhWnD69FD16mHGeKbS3rl2jC5zfm0LrwyTpKvPnn/lhUqY9yG/+Mq1n2L4zvqixvkQvr65Gv+fWVzmZtDGq/G3bJl4d1TP7uJ42TbwAEa/QcylElT+/OJowAbhC+KhMherVxVGDWE83aeJXDcovJ+78BX0oGg6W/alF3LF2NFbk7RlpbqikRAf/hhvMPnz8oYVLKUPAEX+MWugQCII/qw9q6wvfu389GIPv/0LD6pcGVbH7um028TOVwG1RM3QklVOhIPiLEj7GuqrMsMv4UdOL8Jsw417XYPXg+v82x6h99ANZ2U+nnS02JC6GuPMX9PqFBXQXO6uXWbGATqDLAnoSFBbQtc7BArphnLCAngCDBXRDn2ABXQeDBfQEFiyge7ly8z9v41rxggtK8dBDuoAuxV95PljZfP/S/0pmUaLfm8JvvwUOOMBcYfki/ZBDsmhEDn/qN39xgLq8FzXptK9bYTe801f4HnAhRJU/OWalNQljkP7PG9rvXLqAUniziCp/fiEq+8Tu4t7/XwaflTffDBQV+VWD8suJO39BH4qGg2V/ahF3rB2PlSFDgLvu0sE/9FDgk0/8IYNLsSHgmD/GMFQIBMUfZUZbAiPF8COufwSd3/5Rw+mjI/Mxe9wlJvPtbro8ChUhDisTFH8Oqxl4cuulDeulC9kf8wcV4UxxlpAK7xYIV3DnmquejWstCoS48xf0+oUF9MCHXnoVYAGdwIkF9CQoLKBrnYMFdMM4YQE9AQYL6IY+wQK6DgYL6AksWEBPbw0WlVTGtWIjYc1g7VpdQB85Erjxxqi0hK6n35tC+TCprbAgsWSJXp/rrgNGj442jkHV3m/+gmqnW+VW9KKGKkce4MwqmYXpi6drfza+RM+mblHl7557gMGD9ZbvuSfwww/ZIBHNb6PKn59oSzcnTzyhlyjdIS9eDFSp4mctwvH753eLgz4U9bu9QZYXd6wdz3XSPFP37mZKfvlF2NtVmccLkr34l+2Yv/hDEqkWBskfZU5bvvBdmFcTe/+i34575Kx90X+PBRqubrs8ihRhlsoGyV/UcLNecjbWX+7hPr3nalw2bo4W/U8lYDdhxv3fB/ZI7NNGdR6F4i7FpmZnazEs7vwFvX5hAT0io5QFdIIoFtCToLCArnUOFtAN44QF9AQYLKAb+gQL6DoYLKAnsGABPSKLwDSraVwrCmP54itdQF8ofHHttVeaGYU0WRCbwivFRvf223VApFtM6R6Tg3MEguDPeS3D9YXqRc2VR16J8fPGmyrboGYDjOgwwvSiJpXADXOUUeXPKoqecw4weXK4ePajNlHlzw9sUmXIR6eHH24u8dVXgRNO8LMWdFlx5y/oQ9HgGfavBnHH2vFYkX4+pK+GjRt1EiZNAgYM8I8ULklDwDF/jF2oEAiaP+u6+cbDrsKIXjejisHjYMfzgA/EBTkZrOvjbAXMUJGRQWWC5i+DKgf6CdVfUsL6ze2vw+Be12MX8ROTCv87sTrufuUvUN+l+i4lrKfbyLjzF/T6hQX0dHtiwOlYQCcIYAE9CQoL6FrnYAHdME5YQE+AwQK6oU+wgK6DwQJ6AgsW0ANe3LlcvEpAl4LARx+5XFgA2QWxKZw7FzjqKHNj5Yv0wsIAAIh4kUHwF3HIEtW3+j2XZiYb1GqAZ759ptzmuW2OMqr8yYtDP+qWOzFxInDJJXHoGc7aEFX+nLUy+9TSevOnn+r5/Oc/wIwZ2eebbQ5x5y/oQ9Fs+YnS93HHOqOxcuaZwDOG39RjjwXeeCNKtMamrhnxF5vWR78hYeDPKKIfVQLMfkzHdZtwZVZfuGbZUt0unkcf/exbEAb+sm9FcDlYrYc9+wLw3+/0+rzdGvj88bEY0XGEqZLWix+ZmnaPO39Br19YQA9ubDkq2dRRvhBviiwWhX5uKm5NWkKpOBqnQgnsp34lKFCktcerBCmqvNKNdB22LlI4nhM/cLZACeUyERVPCUQyLRW/QUEBFb9ZkZYSKWVSVTyVTU0ikoqTyXYl0lJxMhklrFOikUyrP1IzF0B1C7qroHLBH7bKFTSjCKVFG5X4XQh7HgVEnCxcJQZReedvpDtLtaUExssU/MsHftawQpF2NREv/O2RYZ0i3g4xsNVh36SSV3XQB+sQaesp6tCIiG+qSKuyktaSSE9PK9gpFiTWsKyhfW6UabKdBxdB2PUlgpO5dPkvioYsJCYAeigBi4hKOJkz1yj4UMVT86OqD5JZG67/KorWo4Wdo3TDLoqETuZH1WUkan5UzZlUfIGibkR8w7bCZCDV5atQk42wLgj7hKOaB6l46ntZPBXfFNQkBjTDKluNm240T2LLRbNa75dMVlpairw8FYDpEs7pKARUAvq99woRblD0MQtiU/jPP0BzsXZaY5gTJ0wALrss+nj63YIg+PO7jV6V131yd8xcKszMphm8MEcZRf7WiZ+iRpa1qBRH//3vNIGMUbIo8hcE/I89BpwnXqcZQxgsuMSdv6APRYPoa0GVGXesMxorzz4LnHGGTkmNGsmF3y6qDWZQ7MW/3Iz4iz8skWlhWPhLCZLD3wdueUeH77PdgHbCuIQblpkiQ4qDioaFPwdVDl1SoxjeR4jnLwoRPRW2i+PN5kOBYSfoIrpVPM+mb8adv6DXLyygh2640RViAZ3AhQX0JChOBCIW0LWOxAK6YUyxgJ4Aw4n4zQK6of+wgK6DwQJ6AgsW0INZXFICenVxw/7XX4GGinuLwdQ0s1KD2hSefz7w6KN6nTt3BmbNyqwNufxVUPxFGXOjiT/rS/Ty2mX0e+6WOcoo8jdduILv2VNHqqa4n7hpE1CtWpR7RWZ1jyJ/mbU0u6+2bBEXssX91rWGS86XXgrceWd2+Wb7ddz5C/pQNFt+ovR93LHOaKxsEDfEpRn37YZXMFOmAL17R4naWNQ1I/5i0fJ4NCJM/Elhco8Li3CycGOWCve2A36fYH8BHA/0s29FmPjLvjXB5GAUxGv/Dfw2Dqht+GnpL9wCPXJI8hKHDEUzhUmEspCNeC6ziDt/Qa9fWEAPZkw5LpUFdAIyFtCToLCArnUOfoFuGCdOrCCwgJ4AjgV0Q//hF+g6GPwCPYEFv0B3vHTz/QNKQO/TR9x8ftH3qnhSYFCbwtdeA048UW9SZWH+b7UwyGB92epJo2OUaVD8RRXClA8962vydNvTrbAb3ulreHaT7oeKdFHkb/RooLhYb1D79sLv5QdZAhHRz6PIX1BQjxCWNceJA89UqCcsbf0iLOkE+Rg17vwFfSgaVF8Loty4Y53xWOneHZhpsPRy7rnm25NBkJWDZWbMXw5iFcYmh4m/nTt24Nf6VdDCYE12wCk1cP8Ljl5/hBFmz+oUJv48a6SHGVtfk8uiXngOOOV7vdBpwpDpsWfbK5GteC5zjDt/Qa9fWED3cPC4mTUL6ASaLKAnQWEBXescLKAbxgkL6Akw2IS7oU9QcyabcNcBYhPuGhZswt3NFZx/eVECuhR/jz/evzp4WVJQm8I//xReccT8IF8mpoI089uvn5etjV/eQfEXRSStPvSs/sypNsmDl1klszB9sXh2XRaML9GzxSGK/MnX5/IVeipccQUwfny2SETz+yjyFxTSS4U7rzZtgJ0Gr0OTJgEDhNnXoELc+Qv6UDQoXoMoN+5YZzxW7roLGDLEsC8UC7+VwuVflSpB0JSzZWbMX84iFq6Gh4m/MU8NwDVnP2ACaK/BwPn/5Rfoql4TJv7C1bMrrg1lil1+9cUdRXj2Jf37beIiftNhwIZaepwb4rnMLe78Bb1+YQG94nEQihQsoBM0sICeBIUFdK1zsIBuGCcsoCfAYAHd0CdYQDccihC/KSyga6CwgB6KpZ/jSlgF9CZN8hKv5uJirjjITaG04vnKKzolJ50EvPyyY4py+oMg+Ysi8NQrBtmO8w86H498+YipSQ1rNcTw9sNNZgBTCXL1UEaKn9JKxPr1OlTPiVcgp50Wxd6QfZ15/DnDUF48mzpV/2b//YGvvwYqCf+VQYS48xf0oWgQnAZVZtyxznislJQAhYVmWubOBTp2DIqqnCw3Y/5yEq3wNTos/Mk19Py7ikz+p9cLNz6NhovLcULAdGttHD4GsqtRWPjLrhX+f12eH/Ox067GZcffhJr/6PU6V1i2e/xg/d9u9ce48xf0+oUFdP/HVkYlsoBOwMYCehIUFtC1zsECumGcsICeAIMFdEOfYAFdB4MSy1lA1/BhAT2jpVrgH1kF9CFD8nDHHYFXy7UKBLkpfPxxQFrzTIVa4tb4GmHBo3Zt15oX+4yC5C+q4Fr9nsuX6JWEgjdt0bRym2R9sT73vLno2DI7ESBq/P30E7DnnmaYrcCIvAAAIABJREFUfv4ZaNkyqr0hu3pHjb/sWpv912+9BfToYc5n9mzgqKOyzzuTHOLOX9CHoplwEtVv4o51VmPlwAOTN2VSYZh4Jmj05xBV0iNU76z4i1A741rVMPCXEjPHzQCGfagj/f7eddDp9D+0CLdEyzhxGQb+ooan1WoY1a/eOageun/1u9a0qXsIC4FnmVuai3s1p1wHvX5hAd0pYwGlN3UUYYour5m5IlvFALSG0jqU41baz6/K9+9SWG5hikJUaUuRb68DEScTla6yp5XxOxbVsTekRAE6JQZRcfJzYX3JFpz4+N2gqIPKfQolXqoETSf+p8WtOVtwIqA7EYhkQVQXKlBgQcTXb0sBD+TXKLVlUiB6FhUKIOzoWUKhMi2dByWsq8prUmpwkpMqd4mizfZmACsUaal44UOVDGsV8RuJeH0NaP7jX0TabEV1mSUxRMk4mbYhUQfxGogMTRXxLYh41eGnfbrCNiJO5lhav7kt4xJivpOJqDlvKQrICi+GcGpDBCd5rPyZmB8XVaMBWkQWRqfN9tKRzJWaC1XzIzGUFCxnH72LIgtVPDVvquZHe1eh50ZZBSf+0okuVLmAHtD5zajJBqCEbtVFIidpdyMmsmagJ6xmWGUD3+ovfcXyHTgoX9jBlmOvtBR5efT6JPuOEGwOn3/+uTAXPB1zxYuVb7/9VvjJXi1ef1dDixYt0F443+3fvz86derkWSWtAvpnn+XhkEM8K873jIPc1EuxvJlYewt3elp49VXghBN8hyGyBQbJX2RBExXvPrk7Zi41+GWtoDFWn+mjOo9CcZfirCGIGn/PPAOceabe7KZinSmt8Qb1gjhrArLMIGr8ZdncrD+Xc/1eewGLDOvsU08Fnn8+66wzyiDu/AV9KJoRKRH9KO5YZzVWrr0WGDNGZ1ZOAgsXRpTpaFY7K/6i2eRY1dpv/qR4abwganwJPEcYa+q0TId3Tr8umHdBD5O1JhbRzd3Pb/7i0vmLZxVj9OzRpGUD2UcrPfU0Ooy8T2vu38IKwh7X7YqLuxUl+iO1V7P27XSwijt/Qa9fWEBPpxeGIA0L6AQJLKAnQWEBXescKlGcBfQyiFhA1/oKC+hlUNB3XOhLR/ITFtCTwKn0XxbQE/DkooDeuXNnzJkzp8IV4znnnIOHHnoI1atXrzCt0wTGteJee5Xi++/zYiUWBb0p7NIFkC8QU+G884BHzJa0nVKWU+mD5i9qYBsPTqwv0ctri9HveSaHL6q8o8bflVcCt9+ut6ZXL7NJ7qj1h2zrGzX+sm2vG99PmABccYWeU1Vx6V1aMRB34nwPcecv6ENR3wkNsMC4Y53VWJk/HzjsMDM7UkCXQjoHXxDIij9fasiFlIeAn/xZRUujeF5VmMveOFZYCtum1/aLh8bg4P5Xo+eTPTF9sXiVWBZYRNcx8pO/uI0kas+V6qMnNOuC5wfPQg2DGfezhXu4A64Yiw4tO9ishKX6stNL0HHnL+j1CwvoERm1LKATRLGAngSFBXStc7CAbhgn/AI9AQa/QDf0CX6BroPBL9ATWKheq/MLdOeLw7Zt22Lx4sWJ1+animdq8qV5S2ErWG5k5s2bh/Hjxwt/5MIhuQhnnHEGnn76aeeFVPCFca149dWl4hFNvF76B70plObwL79cJ6GxsFohX7RWqeI6lbHMMGj+ogRqeYeC6bSjW2E3vNP3nXSSpp0mavxJU9vSfW0qFBcDo0al3dzYJYwaf2EgYP16cV9S/Iz+mTSgkwjyger11/tfu7jz99lny9GuXdICV5wtFfnfc+wlBn0A7TUGWY0VaXpCDvpff9WrKU24S1PuHHxBICv+fKkhF1IeAn7xZzWbbXVddHPD01B0qdlkzMbSRZhU8qLpBXqqLSyiJ5Hwi79cGEXWPvqaOPo5/ke95a+Ie1m9z4Dt1brVn7oT0+5x5y/o9QsL6BEZuSygE0SxgJ4EhQV0rXOwgG4YJyygJ8BgAd3QJ1hA18FgAT2BBQvo7i0CjzvuOPTt2xd9+vQRgqpdUV0jbIB36NABP/6Y3DnJ1+pum3M3rhUXLCjFPvuwgO4ew8BS4VGmdWtzjtLogIdW+d2sfuB5xX1T7xbAFR0KUuXIg79ZJbNML2qML9HdqFuU+BP3llC/PvCHwSvK1KmAfIWeqyFK/IWJo4suAh58UK+RvDglX6HXru1vLePO38CBy3H//Syg+9Grgj6A9rqNWY+VAQOABx7Qq9m1KzAzfTcqXrcv7vlnzV/cAQp5+/zkzyo0pqCRa+LDpn6Bo295TkPr58bV8OzLN5jEc6vo7kSoDDkNGVfPT/4yrmSEPjRaO+j7JfD4K3rlt4rjoibDgc01dBHd2qedXuyIO39Br19YQI/I4GMBnSCKBfQkKCyga52DBXTDOGEBPQEGC+iGPsECug4GC+gJLFhA93cROFUoOMcff3yi0EsvvRR33nmnqxUIelPhamOIzMKwKTzwQODrr/XKSTPRt93mdcvjkX8Y+IsKkqpDwZP3PhlTFk4xNaNhrYYY3n645y9qosTfggXAfvuZ2ZYPCps3j0oPcL+eUeLP/dZnnuM33wD/+pf5+/uEG8uBAzPPM5Mv48zfunXy0e9ybNnCAnomfcPpN7xWrACxV18FTjpJTyRdLslOWqeOU6g5fQYIxHmuywCOyH3iN3/W9bIUxaedPQ1zu7ZBp/eWaPi9eVgD9DpWmJUpCylhMlNT2ZEjJs0K+81fmtWKZDJr39x1C7DqVqC6MHSSCmf0AZ49IPkv64UOp+K5zCPu/AW9fmEBPSJDkQV0gigW0JOgsICudQ4W0A3jhAX0BBgsoBv6BAvoOhgsoCewYAHd30Xg5s2bUbdu3UShvcRTSCmouxmC3lS42RYqrzBsCq+7DrjhBr12++4LfPed1y2PR/5h4C9KSFr9nsuDlY1/bcS85fPKbYZXL2qixN/kyUC/fjpM0iJvaWmU2He/rlHiz/3WZ5djjx7AW2/peeyxB/D99/6674gzf6NHA8XFcpPCAnp2PTW9r3mtWAFOmzYBjRoB27frCd94Azj22PQA5lRZIRDnuS4rYCLycRD8Ua92TznlOrRZ9beG2v96AhMPT/7TKkxSvqsjArfr1QyCP9cbEYIMqYsd0xdPxxtPip+SRXoF3z6oLo456XdbjTMRz2Umcecv6PULC+ghGFzpVMHUUcSgy2ti+arQnsum1tXIrJdWKbDFl4DIQKQqgT1tadnmxpoJlXYp8b38rhQtybr9tji5cTKFkko0RCVENCUQyWTCR6UtUHEy0Roi7QYFS5sV8VuJeMMavELOqypS1CTid1GkzVYgktlSLzXsXSJZASq+YBtZueat7KdYhaK3UYESxVVCeSGEfVUiUCKRKo+CP4RdPkuoSWcL6Jca9S9UB3QriIqtVnC3ShEvLj/bwkZFWkpAp/ql/FyYurQFlU9Xqm+qLmRT8WI/SoamDuJbKNJS0xg91ZDCekl92twxNbdRcbJWSx3Mpeo87INp5c/E3CgLXETM84ZFmQmpbC8dycyoedPJ/Kjqg6p4imqqD1Jzo/xWFU/Nj04uI6lesVFdSGVF206zmEd3kp27YQE1gQAtqtjjW4BOS82DlK9zWQEqj2agJywqbSOsNbVj5fLtOCo/2Xly2bflOvGCpZE8lBNBvkR/7bXXFJNZZtFBbyoyq3X6X4VhU/jxx8ARR5jrvGyZOPZXTNHpty7+KcPAX9RQ7j65O2YuTd90rJcvaqLEnzDwgbvv1tmWjwlffjlq7Ltb3yjx527Ls89NWm/u3t2cj+xPxkeq2ZdSfg5x5e93cW7cqhWwfj0L6F73oVT+vFZMA+mjjgLmztUTyh8Vl61GpVGLnEwS17kuV8gMij+jYFlfvPTdcIsZ8cMuAOaLM5lMhUnmL1cQyL6dKjPsMv6HW4vwiOH4Z4s41zzt3i6YumKWVnDKikImNQlq/GVS10y+CXr9wgJ6JqwF8A0L6AToJUQcC+g6KCyga1iwgF4GBQvoWp+gXqazgG6YU1UXjFhAT4LEArrWWVhAT39R+LI4cT/55JMTHwwbNgzjxo1L/+M0Uga9qUijilklCcOmUPpWbioufElrnqkg/eNeIA5mOJSPQBj4iwpHxtcw1pfo5bXB6Pfc7Rc1UeKvfXtgnuGh/o03AiNHRoV9b+oZJf68QSDzXHeKu42HHAJ8KfxXpoLsYx98kHmeTr+MK3/SBYpYDonAArrTPpFpel4rpoGc/NG45ho94V57AQsXpvEhJ8kWgbjOddniEpXvg+QvJVz+RzwmmSEeHabCX+JhUL2rgOv/byxGdBwRFSgDqWeQ/AXSYJcLlXuvTo920nK1XtgY+8owDD35NlQ1vJk59VTgRYvbqbnnzUXHlh0d1y7u/AW9fmEB3XGXDOYDFtAJ3EuIOBbQdVBYQNewYAG9DAoW0LU+wQJ6GRRO5kz5CQvoSeBYQNfGEgvo6a0Ld+zYgSOPPBKffPJJ4oP58+ejXbt26X2cGq7LVQM2meBX4eT3sMMOS/z/kpIS4VNUZf7AUbGhSSw3hWvWJM0ENW7cGFWqqEyleFvlM8+shOefr6wVcvLJO8W/DQ7NvC0+srmHhb+wAzhmzhjcOPdGjDl6DK5sfyXGfzge17xnOMivoAFHFxyNN8960/VmRoW/bcL4VYMGlbF1q27B7M03/8Exx7gOSaQyjAp/YQX16acroW9ffd6X9Zwz5x9IId2PEEf+top9adu2lbFypRyrLKD70Y9kGUEfQHvdTlcEhE8/BQ491FxVsa5OmEvg4CkCrvDnaQ058/IQCJo/KaJvvq4IN7yn13Ke2A7PeYbF83R6btD8pVPHsKcpnlWM0bNHK10FvL93bXT8QZhJKAvPC3dw/z1N94E+qvMoFHcp1v7u5EJ03PkLev2SEwL6559/junTpwsrPHPx7bffYvXq1ahWrRpatGghNj3t0b9/f3TqpN8SqWhAyrweeOCBxCHob7/9hiZNmiQOLC+66CL0kE6yPAgsoBOgijWsLTgRg9iEuw6fSgxiE+4JjNiEu2GksQn3BBhswt3QJ9iEuw4Gm3BPYMEm3O3Lk/Hjx2Po0KGJP/Tu3RtTpkxxvFqsVEnh0obI6bPPPkusc+MU5CWEjRuTfkvq16+PypXNYoZfbX322Vq4/PL6WnH16u0QftBXo6rK/Y5fFQt5OWHhL8wwLfhtAYreKdKqeEjzQ/D5ys/LrXK/A/vhm1XfmNL1aNsDFx96satNjQp/331XVZjbbmxq+3ffrULDhrSLFFdBCnFmUeEvrBDKixlHHNEEK1boF7eOPXYrHn5YtQh2tyVx5O/xx2uhqCj1W8oCurs9Rp1b0AfQXrfTFQFBmhtq1gxYa3BJJc5/ceGFXlc/5/N3hb+cRzE4AMLA3xt7VUavH/U138Qjq2Dwh078qQaHX9Alh4G/oDFwo3yr6G0U1Y+c/h2OuvEJrZg/hEfOva5rgOXXrIP1u5RVBauorqpj3PkLev0SewG9c+fO4nbwnArHwDnnnIOHHnoI1atXV6bdKex3DRw4MCGeq4IU0SdNmgQnh5wVVk4kYAGdQKmEiGMBXQeFX6BrWPAL9DIo+AW61if4BXoZFE7mTPkJv0BPAscv0LWxxC/QK17FzZ49Wwg63bF9+3Zh/rspvv76a3EuJw7mHAYna0sW0B2C6yD5ypWVcfDBwo67Ibz66lpxmVYoLByUCMRRAPKC7pcWvITHv3rclvWBzQ7EV6u+MsXvUn0X9NmnD5leCut99u3jWhWjwt/TT9fClVfqF1xattyOjz9OWq7I5RAV/sLM0aRJtTF6dD2tipUq7RRm3NegsFCIbR6HuPEnlkPiIUtjlJambp6xgO5xF9KyD/oA2ut2uiYgnHEG8OyzenVPOQV44QWvq5/z+bvGX84jGQwAQfM3du7NOLfnSDT/Q2//WcJ72r8u5xfo6fSIoPlLp45RS2M16967YUc8P+R9kxn3PuIF+mH/M/dRqy/1dMy6x52/oNcvsRfQ27Zti8WLFyde4ZwqnAvIl+YtW7aE7FjzhHM0+SLol19+SYzBM8Qi6emnn1aOx6uvvho33XRT4u8HH3wwhg8fjjZt2iTyl34sv/jii8TfZLoxY8a4Oq5NHeVOIK+hJftCojgqTiRb2UI/VEh9pXpNWYp8W8ZLUUC2rQT2Ap3kKzMt/cte3sZFCqWihKgGFSeTUSKRkxfoqnOXzQqaqXiVeEldhlO9YqLiayrqsAsRb36QoSdQxVPQqyzCUvFt6brVbGtwHlqWJL9+KZmYEr8LxftfKhQ4iC/AUjIPKu/dV9jrm/iYymKZgg+qeSsUaVXxhkvQ2peKqsGwaNTSUnHyj0Qf3Km4pFmJ6oM1FO2oQ8Tbp59kokaKPKxznUymelTZksjDPqUkE7W2p92qmDNL69g7t2puU8Uvgn0wOMljGTEXyxas/Jlo4CJxjZEKJUQkFZfIWMEHFa+aH6lHOao5k5ofnVwUVs2ZTuZH6tKRhIGaH72aMxXza7WCTSQhLRrZJwtqzkwOG3taKk6m3Y1I2wyr6ToQaa0v0Fct34Zj84VDMhFKS0tjZ1pcMVoS0d99911i7bl+/XrUqFEDb731FuTlzkyCXAuWF9iEeyaoZvbNIYdUFhchdIsAI0fuwPXX5/YL14qQjKMJ4oranOnfL33zUjz4xYPa58e0PgbLNy3HgjULys1SppuxZIaWZmbfmWif746N6ajwd8kllXD//bp1ilNP3YFnnuGxGRX+Mh0zfny3SSzFCgoqY9Mmfe4fNGgH7r7b+/4VN/6eeqoS+vUzWpFhAd2PPizLCPoA2ut2uiYgPPoocP75enV3FRtFYX2UzQ15y6Br/HlbTc5dgUCQ/EnBceKUIpROMFduz8HAT+LsxuqPmkm0IxAkf3HmwyqGvy3uSXc3aAnPCh/oZwhf6Kk+ak2fbt+NO39Br19iL6Afd9xxwl9VX/Tp04f0lSh9KXbo0AE//vhjYrzK1+qUOfdFixZhn332Sbwekj4rZbpatWppY/zPP/9MHIh+KvzlVBU2HBcuXJgQ190KLKATSJakGZfYKRBpWUDXQfFKDGIBXceYBfQkFiyga32CBXTDvMwCehIMFtDdWjaFIp+lS5eiY8eOwuTrisQa9AXxckWab/cqBL2p8KpdqXzDtCkUd2hx6616i6WrzDL39l7DENn8w8RfFEDsPrk7Zi6dmXZVrYcu6Zr7S7eAqPAnx6J0X5sK4o47hg1Lt5XxTRcV/sLOgHXul8dBy8Tl6caqvbRLDYoTf8IbCw44AFhguA900EHL8eWXyUvBuXbR0qUuknY2vFZMEyr5yCrPsjH78EPgyCPTzICTZYJAnOa6TNof9W+C4i8lOPYWvytTntdR3CAeUzQUe7adZfe10hUio85DpvUPir9M6xul73o+2RPTF09PVHnAfGDSG3rtN4v3T01EP90q/tujTQ8tnUzhpM/Gnb+g1y+xF9DTGVBTp07F8ccfn0h66aWX4s47xRNvS7jkkktw7733JmLly/UjjjjCluajjz4S66nkgmrw4MHiNvLd6RSfVhoW0AmYStKMk8lYQE+CxS/QtU7DL9AN44dfoCfA4Bfohj7BL9B1MPgFegILfoGe1nJNSyRFc3khc8mSJQm3Po899ljiQqeXIehNhZdtk3mHaVP47rtAt256i6V7+tXCSIPXIorXGHuZf5j487Kd2eRt9X03aOogTPpsUlpZGg9YrPmklUEFiaLA319/AXXrAtJfdSrIsXr00W4gEO08osBfFBCWhmAKhcUqaYI8Fa6/Hrj2Wm9rHyf+XnkF4jKhGa+HH16O/v1ZQPe2FyVz57WiA5TlTY9vv9U/KC4GRo1ykAEndYpAnOY6p22PQ/og+DO+1r3xHWDk+zqSn+/bEG/fPxxFM4u0SCeCZBw4cdKGIPhzUr+oprW+KG8irHL+Oh6oYjBg1Pu/wCv7mFvotK/Gnb+g1y8soIv+uXnzZrHZFrttEXr16gUpqBuD9H2en5+fMPW+99574/vvv1eOW/n3H374IWGedJm4juzEX2V5kwEL6AQ6JWnGJXYKRFp+ga6Dwi/QNSzYhHsSCjbhrg8PNuFumD/ZhHsSDK/mTH6BHtV9kane0rqRtEq0oOx51cSJEyEvYnodgt5UeN2+MG0KpVDXULgYEQaotCC9QEmXmRxoBMLEXxg5Kp5VjNGzR5teGlgPXCqqt9ODloryM/49CvzJl+fyBboxbBDuZOqrrB85ASDiaaPAX1QglnfhnnhCr22TJsDPP0NYJ/SuBXHhTxyr4fDDgfni9VUq7L8/8MYby9GqFQvo3vUgPWdeKzpA+corgdtv1z+Qj6XkK3QOniEQl7nOM4BCnrFf/KUuitr8RD9dCx1/3KKhNPuM9uj89AfI1CR2yOF2vXp+8ed6xUOcobXvpV6Yz3wM6FqiV3zKwTXR50TdLKdMN+3saY5aFnf+gl6/sIAuuuO6devQqFHSAa98if7aa6+ZOql8PZQyxz5gwABMmqR+CSD//sADDyS+l98VyivKLgQW0AkQDZON9lcqTv6RBfQkRPwCXesq/ALdMKb4BXoCDH6BbugT/AJdB4NfoCew4Bfo6S3mNm7ciK5du+Lzzz9PfDB27FiMGDEivY+zTBX0piLL6lf4edg2hdJ4lfHOrRRVHhc+zTjQCISNvzDxJA8COz3aSauSFMJlML6YoeprNfOXmHPEtyM6uj/nRIE/uUUfNEhHas89IS62h4np4OoSBf6CQ8dZyV99BRx0kPmbO+4Ahgxxlo+T1HHh7623hHnSHuaWP/UUcNRRyxMPVmRgE+5OeobztLxWdIDZjBnA//2f/kFlYQdaXJJFgwYOMuGkThCIy1znpM1xSusHf6kLp9Y18M1db8KAY0aigcE14Cd3jsBhlybX1EYT2l6ul6PMpx/8RRkfp3VXXdyQ8T/fXIR739Rz3FQdaCpcTv0lzLingtM9Xdz5C3r9wgK66Jkvv/wyTj755EQfHSacpI2TztIM4Y033oD0pS7DhAkTcNlllynHjfz7FVdckfi7/O7YY491OsbI9CygE7CUpBknk7GAngSLBXSt07CAbhg/LKAnwGAB3dAnWEDXwWABPYEFC+gVL+f+FM+RjznmGHzwwQeJxFdffTXGjBlT8YcupQh6U+FSM5TZhG1TKAwL4H//06vbrBmEv3tAnq9ysCMQNv7CxlF5r80P3/1wfPzLx6Yq165aG39uN5hAMPzV6YFLOlhEgb8LLgAeflhvzVlnAU8+mU7r4p8mCvxFiQUpAksxOBWaN5ePJ7x7hR4H/uTrc2kh4rPPdNzatAEWLgRWrmQB3a/+z2tFB0hvES9ZpbmhrQZF7sUXgT59HGTCSZ0gEIe5zkl745bWa/6sF05T+Ml1b59q/0LbI8z6y6oF89Fsn3a2F+ip7+aeNxcdW3aMGw0Zt8dr/jKuWAQ/pC5HGy843/zCEIw47S4Yjw1OPB34u5fZB7qTPhp3/oJev+S8gL5jx46E3/JPPvkkMSTnC3tS7dq1Mw1P+eJ8UNl19hdeeAGnnHKKcvi+KBZUp556auLv8jv5Ij2dIDtCeeHXX3/FYYcdlkhSeg2Qt6sldUvia8Xj952t7WmXNhS7PiKUwp5xCQrItFR8KZI3ia1hqSIPKn3pRjqPrYvEYtYaShQoUvCqIM/WRLGsgjAXaAuGdbfpb6r4dDqOTFNTkXAXIp6Kk8mcCOt0VwFJqcIcMdra69aw7S9kQ/KrlNrinYjf8uMC2DsGFZdMu9RWXuE/dMeqt8TgZDH1lf3z5F+oeHHQTgYn8WsVeWwk4jfRaXcSfXD7P+l2QKBqFTptJapv1lHkqzKvSQxzNFXk0YKIp+ZGmYyaVoi5USalhPWSOq3ISqjmR2rOKwE9SWc7l678mZ4zUWK4zpiqPd216UtH8htq3hQX8clAxQt/P2Sg4rOdG2VBVRXlOZkfrb+3Mks35kxqflTNmQU0GE12F06XLaEF6AmEilel3Y3IQ5WWEtabYpWpVquX/40++UkfgnF9WfT3338nrBjNkK9VRBginqLdIZ+k+RiC3lR43dSwbQoXLQL22MPc6i++sL9M9BqXqOQfNv7CiBslostDwXvn34tlm5Ypq0y9WHdy4JIOFlHgT74Klq+DU0HcaxcX39NpXfzTRIG/KLEgrTh36GCusbT0fPnl3rQiDvxNmWLXHR96CML3efz9cnvTKzLLldeKDnGTL9DL1vaJLy+8EMLkqMNMOHm6CMRhrku3rXFM5wd/lElsaep67s2D0Gmkbi14dd3KaLpxO275YJzJolPq5fqozqNQ3KU4jjRk3CY/+Mu4chH8kHLPJZuRckEwp6ASjhIugFLhqQMr46wv/9EufFj7aOo7FRRx5y/o9UvOC+jjx4/H0KFDE/2vd+/emCJX9pZw6623Yvjw4YnYadOmCbNTFrtThvTy76lX57fddhuulH5z0ghOfKWzgJ4ElAX0so7FAro2wij/5fKPLKCXQcQCuj4bs4CexKJE8QOlumDEAnoSMBbQtY7DAnoSij7iNUpqDSlNuEvxvLy1XfXq1bGntC/sYgh6U+FiU8iswrgpbCsuBC5erFf35puF2e0ir5GIZv5h5C+MSKp85anqavSRl/rWi0PBsPMnDICgXj3gH8MF0LlzgY78sCjRdcLOXxjHYkV1supq0gqJfIVeu3ZFXzr/e9T5k+PygAOA77/X2y6XQN99J+66isuucV+/OGfcuy/ijrXrY0XejDGe6bYUt/NLxAa6UiXvSMrhnF3nL4exDKLpfvFHmcY+7LZncPSr+i3K+Yc0w7t3Xm4Sz1MWmioSIoPALgxl+sVfGNrqVx2sfc3ogqDN09Mx0eDmfGMN4L6pxSjqPkoT2VP1TGePF3f+gl6/5LSAPnv2bHTv3h3bt29H06ZN8fXXX6OZ3PlYwg033IDrrru9WpRZAAAgAElEQVQuETtz5syEb0tVePfdd9GtW7fEn+V311wjnounEVhAT4LEL9DT6CzWJCyga4iwgG7oHPwCPQkGv0DXOwW/QNex4BfoCSz4BXoGv7mKT5ys42QWrVq1EudvJe5VQOQU9KbC1cYQmYVxU3jJJcC99+qV7dIFeO89r5GIZv5h5C9MSBoPWMoz507V2Wiy3atDwbDzN28e0L69jo50pbBRrIV3UVnfChP5PtQl7Pz5AIHrRXz0EYQlQ3O24v2ESWtzq9Co8/f448C555rReO454LTTknFxX7+41Q/cyCfuWLs+Vr4VFrTk7Q9jkH4H9trLDTo4DwsCrvPHCPuKgJ/8WdfKHz9eHYct/Vtr7+ST26Dfv/Rbzl64N/IVXB8K85M/H5oTuiKsZt13Ew/clos7WkYz7sefIS7/XjwWRnPv1r6usjIWd/6CXr/krID+nbju2qlTJ6xfvx41atQQPqzeQufOnckB5scLdDbhnoSeBfQM5ngW0DXQWEA39B8W0JNgsICudwoW0HUsWEBPYMECega/uYpPWEB3D0tVTmHcFL7+OnDCCXqN5Uu6deuAunW9xyNqJYSRv7BgSJn46/lkT0xfPF1ZxZQJylQCrw8Gw87f3XcDl16qw7XffoDUPTgkEQg7f1HlqWdPYLphmDZpIrx2CbdddVQuqzJsaJT5++uvpNb4s8FMqXS3IH2hy4suMgR9KJohLZH8LO5Yuz5Wdu4Urt+E6bpfDO4G77zT/IMTyZ4Qzkq7zl84mxnbWvnNX0pYrCKsnGwSVsBqb9ehPfZMYUG4zNib12vkuBDqN39xwc1JO6z7uw8fq4IjS3TzWY8fKC4c9gZSfZaytmAU141lx52/oNcvOSmgLxW7mo7CntuKFStQpUoVSL/m0ny7KvjhA72iAWfqKOwDPQEXm3Av6zUsoGvDhwV0w0zCAnoSDBbQ9U7BArqOBQvoCSxYQK9o9RWtvwe9qfAarTBuCjdvBho2BLZt01v/6qtmUd1rXKKSfxj5CwN21tcIlD9zaz1Vabw8IAw7f/36AZMn60jJ166PPhoGhsNRh7DzFw6UnNfik0+Aww83fzduHDBsmPO8yvsiyvzdcw8weLC5dW++CcjLB6kQ9/WLu70hu9zijrUnY+X8880/KMceC7zxRnZE8NckAp7wx1j7hkAQ/EmB8cmni/DNfeZmNhG/w2vEZTYv18a+AetTQUHw51PTQlEMZWHsf8Ka0V2Gi5gbhBn3ZqLv/i0u5Tu9LB13/oJev+ScgC5Fc/nyfIlwUCVfCz322GPo27dvuYNp6tSpOP744xNpJkyYgMsuu0yZXv79iiuuSPz9DbGoSvlDz3a0mjqK2IDkCR9vptCCKKFQUWpre/wfhUajEfrfS2vYHQWXCI/SVKBejy8FXQkneVD5yvJLV9nrtqNEcd27hKgxFSeTrSTSUnEy2RoFxhuIeHHISoatRKzh5pzpr1S8mFjJQAnrKjOGuyryoPz8qnz/5hF5UHEyGdWF2lJAiL6+e6ktY8qneTJbmtQCiKcAluBMbLd/L7MrXGfvGJWE7zsyUFksU6S1NzmZcAWRfrUij7VEPCWqi2Q7/7Cn3SJeC1BBeLxIO8iXeNZQW/UiQxVfnyiuqaIKVDw1N8rPKWGd8osu0xJz5lbF/FpSpxVZOWrOW6qYS0uIeVM1D1L5qtIu/4VoYIniBk6JAmPKB7qT+ZGaG2VR1PyomjMd9EFlZ3UyP1LzppM5s7miFlS8as7ME68fiFA/b5UttkUNaqIAdiMmEMp/ucyQEtZVYntT2CehZjDX67flf+Gs/PmJupaWliIvT9XQtKcXTkggEPSmwmtSwroplJ6djGbbBw0ym3X3Gpeo5B9W/sKAX3km2ytXqowdO3do1axZtSaKOwv/eDOLyKp7dVAYdv7ki/MFC3RIJk4EpIsFDkkEws5flHnq1QuQgnAqNBZ7ZfkK3U33AVHl7w+xx2zTBlhlWBaKdyyYM8fsQjru65cw9e+4Y+3JWHn2WeAMYVc3FWrXTpobEpZMObiLgCf8uVtFzq0cBILib+LAQzD4/i+0mpWIM8TCy1k8d9pZg+LPaT2jmN6610uJ4y2EGfdfhBl3YzBaT0jFp7O/izt/Qa9fckpAX7NmTcJM+4Ky3fVEsbO+JI2dtRTb28iVvwgDBgyAfJGuCvLvDzzwQOLP8rvCQpWK7WzIs4Bux4sF9DJMWEDXOgcL6IZxwgJ6EgwW0LVOwQK6YXywgJ4AgwV0Z2uxsKcOelPhNT5h3RTecgtQZNAy5dJ/sXC5J+7pcjAgEFb+wkISJaJbXx5QdaVeo6t842XT1jDz9/vvQH1xWCot7aaC9E9tfRmcTfuj/m2Y+Ys6tvPF/cDDDjO3YuxYYMQI91oWVf4kDlddZcZBiufiPYspxH394l5PyD6nuGPtyVhZKw5WpH8G44+MvDnZpUv2hHAOJgQ84Y8x9g2BoPh7r+c+OHr6Qq2dL+wLDOzXEGuHU4eivsERuYKC4i9yQDmssMoMeyr+/YeBDoZHdM8dWhun9/pTK0XuB6edPa3CUuPOX9Drl5wR0Ddu3Iiu4onI559/nuh0Y8VqfkSau5qdYqEkX0vJ1+t77703vv/+e2XH3WeffbBw4ULsvvvuiVdWTn1iqjJmAd2ODAvoZZiwgK51DhbQDeOEBfQkGCyga52CBXTD+GABPQEGC+gV7kMilSDoTYXXYIV1U/jVV4D052oMP/4I7LGH14hEK/+w8hcmFMt7iU7V0/gaIfXtqM6jUNyl2PVmhZk/KciJO/JakBaQNokXHbVquQ5DZDMMM3+RBdVQcWmsUBgt1EKjRslX6HXrutO6KPK3QVidkhfK5H9TQZptN77WT8XHff3iTi9wJ5e4Y+3ZWGnXDvjsM52E664DRo92hxTORUPAM/4YY18QCIq/r/Kr4cDlupnC4d2BW4W1k3Re7foCTEQKCYq/iMCTUTUpV11GH+Zy//brmCLc8Zae/XpxVtlsqHARZ9B60rkcHXf+gl6/5ISA/ueff+KYY47BBx98kOiRV199NcaMGeOo81988cW4776kU4158+bhiCOOsH3/kbjqfuSRRybiZfp7pMMnlwIL6HYgWUAvw4QFdK1zsIBuGCcsoCfBYAFd6xQsoBvGBwvoCTBYQHdpkRaSbILeVHgNQ1g3hfJBUgvxW7PS4M5CbhkGDvQakWjlH1b+woaiExHdejAoD2k6thQnhh6EMPN3uzB9eOWVeqPlhZYvdEueHqARvSzDzF/00LTXWOpqUl8zhhtvBEaOdKd1UeTvmmsAiYExSJwOOcSOSdzXL+70AndyiTvWno2VYcIp7W236SRIMwry9hYHVxHwjD9Xa8mZqRAIgr+b3hmFof93Parr3o5wdD9gVpkxYBbR0++vQfCXfu2im7J4VjFGzx5NXuiQe7f3338GRWfda2pgz7PEP3v0wPTF00Fdjqb2fHHnL+j1S+wF9L///jvhv3zGjBmJzjhkyBDccccdjkfej+IpyX7Cudp24QC4ndgdzRGLpVqGa+1btmzBUUcdhU8//RRVxbV3aSZ+DxefnrCAbqeMBfQyTFhA1zoHC+iGccICehIMFtC1TsECumF8sICeAIMFdMfLwVB/EPSmwmtwwrwpPPts4KmndAROPRV4/nmvEYlW/mHmL2gkjYcgTgR0WW+/DgbDzN+ZZwLPPKOzeOGFEC7VgmY1XOWHmb9wIZV5bU48EXjtNf37evWAn34CmjbNPM/Ul1Hjb9kyCMuNgDgi00J5v4txX79k3wPcyyHuWHs2VqTphF69dCKqVUuaV5D+0Dm4hoBn/LlWQ86oPAT85k+umV96vAifPKTXaodwoXXr1JEomn+TFunXWjnqvcNv/qKOl5P6U4K3UVjvfEYRjliu5/j4IZXR77N/QH2nsjoWd/6CXr/EXkDv06cPpkyZkuiF0oS7FM/LM6tevXp17LnnnuQ4uEo4cJKm32U4+OCDEybgpW/0xcLR4S3CAeIXZVfdZbqbbtInayeDSpWWBXQ7Miygl2HCArrWOVhAN4wTFtCTYLCArnUKFtAN44MF9AQYLKC7sUILTx5Bbyq8RiLMm8KHhe+yCy7QEZCuMletYj/oxj4RZv687rvl5W88PJHpimYWlVsdyue5HweDYeZvr70A6TYhFSZNAgYMCJLV8JUdZv7Ch1ZmNZJHQdbX1W5d5ogaf6ecArz0ko5j5coQD0wAOVapEPf1S2Y9ypuv4o61Z2Pl99+BBg2Af/7RiXn7baC7sBXNwTUEPOPPtRpyRuUh4CV/ViExJSJe/Alwj7jfkgpLmtVA65VbofI7zQyqEfCSP8bdjIDVtPtl84AJFjPu978xGkVdhbsQQ7D2a6Np97jzF/T6JfYCulMf5K1atUJJSQk5tnfs2IELxS7okUceUY79/v37ixvvD6Cy3CW4GEwdRZhyyNvFkjklErVUVICKLzNvYv1iXaFdZShFPplxCeyZlKCATKvOw55elXYZUY+VP9N1Q4m4IWoNNM2A4daP9onBLKcpG1W8wdeXlp6Kk3/cTEC0VcGd7tal4t5FCeuUaCRz2lWRHRXfWJG2ORGfp0hLxdNdBTXbrrNlkl+/lMy4EDSplLDuRGxvi8VkeVQeTUopQsXnS4gshG88Mohb+4qBY49eoUhLCeh2KJMfb7Tn8ecfdL5biL653bCPNH5VtYo9j2qKCx9169DlVaLihV9BMjQkYlUCupM5k5pWWtNV2KqYS0vqtLJ94GR+XErMrzJDKg/VnEnFUxeRZL47ShSEZDs/rlFwR82PiqEEan50MjfKKjiZH62/t/J7Kk7GU/OjkzmTmkdlvoq5dJe832yANq2zmgS5BeyTRTMIhY8Iu5Fp6XypPJrCnHbN8q24ID9p5rC0tBR5eaofB0X/4Oi0EAh6U5FWJbNIFOZNofR129ryu/DNN8D++2fR4Jh9Gmb+goLaenhirIcUxa957xps36H/wNWqWgt/Xv2n7VBQfue1iB5W/qSv8/r1zQzOn283px0Ux2EpN6z8hQUft+rRty/wxBN6bpXESzhptly8vcgqRIk/qSkK74mmILwbCveGagjivn7JinyXP4471p6OFenG8+OPdUakjwarnwKX+cq17DzlL9fADKC9XvFnNYFtFBEfeQU470u9sR92aYP27y1KRPR8smfCBHYqeL1WDgByV4v0ij9XKxmjzIz9OE+cyZdOMDdOmnHvMnAsUj7TK7oUEnf+gl6/sIBuGXzlCeippG8K8z1SJJ8vdudr1qxB48aNceihh4qb7gPQs2dPT4YzC+h2WFlAr6CrORGIWEDXwCyAXdVmAV3vayygl2HBArreKZxcMGIBXceNEstZQPdkDZUrmQa9qfAa57BvCgsKgJ9/1lG4807g0ku9RiU6+Yedv6CQpEy2ywO+neJ/V828ylatHm2S/vCoYHyF4HZ7wsrf3LkQbtT01gpPapAPBWuqLg27DUxE8gsrfxGBL+1q/vJL8pX1H4aLyLJ/zpqVnUWSqPAnvCfiwAOBhQt1yMRRGX74AWhIXXQuSxb39UvaHciHhHHH2tOxIiyNCpOkOktHHgl8+KEPrOVOEZ7ylzswBtZSL/izXja1roMX3FcF+6zSX/TMvfJUdLrtefKyqQSGRXR19/CCv8A6YwQKtu4BPxCuCNobHiw9ehBw/knJPiuD0UoZ1Y/jzl/Q65fYC+gRGDNpVZEFdDtMLKBX0HVYQNcA4hfoZVDwC3R90PAL9AQW/ALdMI+qDtv5BXoCJJW5d36BntYyzpdEQW8qvG5k2DeF558PPPqojsJJYsP78steoxKd/MPOX5BIWg9QyhPJjfU0HqiM6jwKxV2KPWtGWPmTF1Uuu0xvthTvvjS8RPIMkIhlHFb+IgZjWtWVnvyuvtqc9PnnAekDPNMQFf5uvRUYPtzcygcfNLs4oTCI+/olU969+C7uWHs6VmbMAP7v/3Ra5I2t9euFZTKVaTIvGIx3np7yF2/oQtE6r/ijLpvKBt942FUY0etmVNmpN3/Bqw/h9YZrTGKjdV3t5YXTUBCRYSW84i/D6sT6M6pPU2bcmw0Ftlm0HdUlkLjzF/T6hQX0iAxJFtDtRLGAXkHnZQFdA4gF9DIoWEDXBw0L6AksWEA3zKMsoGtgsAn3iCwOLdUMelPhNWph3xRKs73SfG8q7Cqs+whDVahCuDPxGqsw5h92/oLGTHU4mKpX1UpVsX2nbs5dHgZOO3ta4s9Wv5BetCWs/PXrB0yerLf4vPMg3K15gUC08wwrf9FGla79VuFqaJ99hJulEv3vLYULPfkqu1atzFocBf7k6/u99xbe6QwumISRRnz0EYR7w/LbHff1S2ase/NV3LH2dKxI0xLSD/q2bTo508TvcI8e3pCVg7l6yl8O4ul3k73kj7pselO1Hjj4dP0W5TbxW3P79FEo+nC01vSU2Jj63usLp35j7mZ5XvLnZj2jnhdlil22aeKUIpsZ92PPBKbtqbe4PAsKcecv6PULC+gRGXksoNuJYgG9gs7LAroGEAvoZVCwgK4PGhbQE1iwgG6YR1lA18BgAT0ii0NLNYPeVHiNWtg3hcuFybX8fDMK0vftIYd4jUw08g87f0GhaBS/rb4aK6qTn2Yow8rfv/4FfPONjtTddwODB1eEXO79Paz8xZWJl14CTjnF3LrrrweuvTazFkeBv7OEr86nnza3T7qLPuywitsc9/VLxQj4lyLuWHs+Vjp2BD74QCdMmly45Rb/CIx5SZ7zF3P8gm6e1/xZhccHf9wbFzyt+wz5tkU1HHCRfsHFuk7248Jp0BxkU77X/GVTt7h8W54fc/m3TmcUkWbcU+1nAT152FJaWoq8vDxfuwUL6L7CnXlhpoVuLyCvtiUvSgyi4uRnlsO9RE4Kf75U2pUt6pMNKUGBLb6ULAzCy7Q9bWIQEOlLUEiWR6Ut/YdqHLBu0e72PEoUfBh8TmgpqDj5R5XvX8rPrxPfv+LmOhlU8el2LUpUl9+qrE5R8cKPGRmoeCf+fOkuAaqrNGwrrrgToaCK3X+5TFYIO9mUqC7T0mK7g3z/ojtWnZ922Gu8RIElXZwcIPawQpHHKiJ+tSItIaxvM/juM361yfCqIBW/RXc5lG5PtKWrpXihV4/og9XqKYqhpqamirTNiHgncyY9LSnn0q1E+pI6rcjK0fMgPUCWEvOjat4l50zFHL1i425k3baWEA4MncyPqnmQiif6WqJSVLz+KM9cb1U81TqVgE7Fq+ZM8eLUFqg4mcjJnKmYS2vm2Qdvs/r0QKdMrVNCuawaZa69KahJhU5rLWvt8i0YlD8zAU0Qi92MJ6aIfciHosETtqe4If7TT3o9pDnbocL0GgeAD2XsvaB4VjFGzx5N+rZT9RmrGUq/RPQw8rdlC1C3ruxbOlpS12jfnkecFYEw8hdnlnYKc7JduyZ9n6dCbXF+I32BZ3LeF3b+5swBOnc2M9q/P/CQ8OeZToj7+iUdDPxKE3esPR8r8hbMmDE6XdLMwief+EVf7MvxnL/YIxhsA/3gzyhAPvMCcPp3epsfEJeWB5yQ/Ldf6+NgEXe3dD/4c7fG0cpNXuDo9GgnrdLUBY8FV1+Ei578XkuzXpxFWs24W10QpC6GxJ2/oNcvLKBHZLyxgG4nigX0DDovC+gaaCygG/oPC+hJMFhA1zoFC+iG8cECegIMFtAz+M31+ZOgNxVeNzcKm8KBA4H779eROPZY4I03vEYmGvlHgT8/kbQeohjLVvlAN/o8N6b345AwjPxJzeLww3UkKlUCNm1id7RUPw4jf36OtyDK+uqrpAWSHYY71PKV9pNPOq9NmPnbLi6rynYaLUFIFyY//gg0aZJeW+O+fkkPBX9SxR1rz8fKu+8C3brpZEn/BOvEYUp9+pGRP6zGpxTP+YsPVKFsiV/8pUT0RXcCbdbrUFx4vLi49W8WzzPtHH7xl2n94vCd8fL0iI4jtCal4m/ccxBGnnmfqamn9KuFQy8QrglmFsHqgsDomuDaTtfit99+S3zbRCzAqsTMj1zQ6xcW0CMyAllAtxPFAnoGnZcFdA00FtAN/YcF9CQYLKBrnYIFdMP4YAE9AQYL6Bn85vr8SdCbCq+bG4VN/XPPiZcQp+tI7CKsVchz1WrVvEYn/PlHgT+/UaT8nksx/LIjLkPNG80/PvVq1MPIjiMThydUsL5GcLstYeRv0iRg0CC9pdL/8vf6ow23IYh0fmHkL9KApll52T9lPzWG2bOBo45KM4OyZGHmT1pakVasjWHiROCSS9JvY9zXL+kj4X3KuGPt+ViRpk/kDZG//9bJev114LjjvCcvB0rwnL8cwDDIJvrJ39hXhqGo922m5h40ADjj7LEwCpNB4hG1sv3kL2rYuFlfqysB66Xq9x8GOhiszz52ILBq4lh0aNkBHVsKNyJlwbqPnNNvDvaouUfiryygu8lYMi8W0N3H1JMcWUC3w8oCegZdjQV0DTQW0A39hwX0JBgsoGudggV0w/hgAT0BBgvoGfzm+vwJH4r6DDhR3Crh6aC5xeXCvHnAEUcEX7ega8CHMjQDlC+8FZtX4K6P7yqXMuNrdOtrBC+4DiN/F10EPPig3tozzwSeesqL1kc/zzDyF31UK26BfAgkXXts2KCnLRRuneTrdOl+IN0QVv5kO6SPc6OWeKA46P30U6Cq6tyBaHTc1y/p8uxHurhj7ctY6dIFkDdhUuGKK4Dx4/2gL/Zl+MJf7FEMroF+8vfZYzfj3+eN1Bq7RfzmFFzfAKuuIg43g4MkUiX7yV+kgPGhssb94BBxdnDHW3qhG2qIs7hhwA3/p18OofaPQ48cyi/QPeSKBXQPwXUzaxbQ7WiygJ5BD2MBXQONBXRD/2EBPQkGC+hap2AB3TA+WEBPgMECega/uT5/woeiPgOuKG7//YHvDP74brwRGKmf74SjkgHUgg9l1KBTL9HLo8host36isErasPIX7t2wGef6S2+TTxEuvJKrxCIdr5h5C/aiKZf+7vEXZghQ8zpL7jAfPmjotzCyN/WrYAcg8bfO+lGYe5c8XKqQ0UtMv897usXZ2h4mzruWPsyVkaPBoqLdaKkDwPjj5G3FMY6d1/4izWCwTbOT/4ePW1PnPfCT1qD5+UB7cVvqx9ujYJF2bvS/eTPu1ZEM2fjXnD3jcDyCeZ29BKXhN8UFzIpd16pPh93/oJev7CAHpGxxQK6nSgW0DPovCyga6CxgG7oPyygJ8FgAV3rFCygG8YHC+gJMFhAz+A31+dPgt5UeN3cqGwKL70UuPtuHY3u3YG33/YanfDnHxX+/ETSKH47EdEH/nsg7jvO7B/P63qHjT/54lW+4DW+fJWuaY8+2mskopl/2PiLJoqZ1fqff4CuXYE5c8zfO7H6HEb+5KPbCZYDXmnK/ZZbnOMU9/WLc0S8+yLuWPsyVuRg7txZJ0neHFm7FmjQwDviciRnX/jLESyDaKZf/Mk1c5uLinCKwW3PxEOB//VKtppF9MzY94u/zGoX36+oPSBlxv283nYMjH097vwFvX5hAT0iY9DUUYTPrDzrgX5ToiEqMaglkTZfAQSRdpswO0aF0voWm5UiUSmowmQ8XWAJCmxZu5G29A97eZtLmtANKSGilyvwUcWvJNKvUeRhMOmmpaDi5B/FTW9b2K7Il4pXCeiUQCSzpeKFyycyNCZiqTiZTNwOtAUqTiaydwkRRwEhst3d4CjEUAAllqsF9KW2qhWC6hSyavb4NlhEwtNqtbDhZw32opIpligwptIvU6RdQcSvVqQl4neKW29UWEfEbxEHQ1TYRkSququqa9Ym8qhbhy6vdn0ivqGizY2IeNWcScWr5kzF/EhNhVuT7mlsobSOfTBQc6P8kJofl5KDhk6rml9/VdwmWPGXHYyNy5vRDVkuDhOsgZobZRpqflTNg5uJ4ugpAXBjfqQ6p/BrTAYq3o050/7zmii+ZnP77Zdm9emB3gzCtrQlNIVXac1lrV2+Bf/Ln5EovbS0FHl5qglfgStHp4VA0JuKtCqZRaKobApffhk4+WS9obVqAevXAzWE+bVcDlHhzy+OimcVY/Ts0dohnxMBXdaxW2E3vNP3Hb+qi7Dx9+WXwMEHm5svx5l0TcvBjkDY+Ms1jpaKPdy//gVsNqxhm4nl8zffSD+VFaMRNv7eEVPPf/5jrvdBBwEffZTZb13c1y8VM+xfirhj7ctY+euv5I+NNMOQCq+8Apx4on9ExrQkX/iLKXZhaJYf/KXWy0vuAAoN50X3DGqHwc2E/5CywCK68x7hB3/OaxXvLyhT7LLFK24swp3T9bZvENpMs6Hi4rDhbNLax+POX9DrFxbQIzIWWUC3E+VEbGcBvQw/FtC1jsQCumFMsYCeBIMFdK1TsIBuGB8soCfAcCa2s4AexPIy6E2F122OyqZwnbjX0lhcINy5U0dEuso8SlyAzeUQFf784Ei+PO/0aCetqB5temD6YsMpCVEJeUgyq2SWKZ2fL9HDxt8jjwD9++tAtW4NLF7sB3vRLCNs/EUTxexq/fDDgDTdbgzystWLLwLyAWt5IUz8yd+4Aw4Qh7uGy9rygpi0YL3ffplhFPf1S2aoePNV3LH2baxI80IzZ+okST8NdwhFj0NWCPjGX1a15I9VCHjNX0psbPinMPowzlyLn959EVOqLULRzCLtDyyiO+urXvPnrDbxT02J5yM6jkg0fOyzg1F0xj0mEFJm3FORLKD7+yiHBfSIjEkW0O1EsYBehokbLyz5BbrWwQrAL9AlGPwC3TDn8At0DQx+gV4GBb9A1/oE/bKdBfQglpd8KBoE6nSZ0h3mF1/of5OuMkeNCk/9gqgJH8qYUVe9OL/2qGtxw5wbTInr16iPqzpeZToUVB2eeMVt2PgbPBi4x3CudMopwAsveNX66OcbNv6ij6jzFshLVSecAEydav72iTWbo1oAACAASURBVCeAs88uP7+w8Cfb8N//2sfanXcC0n1JpiHu65dMcfHiu7hj7dtYufFG4JprdIqkiYmvvvKCspzK0zf+cgpV/xrrNn8qV0fdxYXJt8VvZypsEQ8eqv2xBVWr10R5oqR/SESzJLf5iyYK/tTaepmauuwxv3VNHLpUWDwpC5PFz0w/g5U7GT33vLno2LJjIkXc+Qt6/cICuj9jI+tSWEC3Q8gCehkmLKBrnYNNuBvGCZtwT4LBJty1TkGZa2cT7oYxo7LQwS/QEyDxC/Ssl3KeZxD0psLrBkZpUzhUmFgbP15HRL4+l6/QczlEiT+/eBo0dRAmfTZJK06+RM+vn48HP3+w3CpYX6wbD0+8qnvY+OvQAfjwQ721UssYOdKr1kc/37DxF31EM2vBSuHKaP/9k+6SU6G+cEElTbnnq9xDiYRh4U+K/X37mtsuTblPFwY0KlfODBP5VdzXL5kj4/6Xccfat7Eif4DkD5Ex/CZc9kkTRBwyRsA3/jKuIX9YHgJu8md0dSTLNL4sf3jBHjj/+Z+0qnzbehfsv/j3xL+pC6r8Ej29fusmf+mVmNuprO68jGhIgf2fCbej8x3CN1xZ2Cis/exzbQMM6TwiMR5GdR6F4i7F2t8lf7MXzMa+TfYV7oGaoEqVKrECOOj1CwvoEelOLKDbiWIBvQwTFtC1zsECumGcsICeBIMFdK1TsIBuGB/UvMkCugZQ9v7S+QV6EMvLoDcVXrc5Spv6N94AjjtOR6R69aQf9Nq1vUYpvPlHiT8/Uew+uTtmLjWYga2g8NQhYOqA0Hp44lXdw8SfOB9CvXrAn8KEZypMmwb06OFV66Ofb5j4iz6a2bXgpZcAaTHBGOQlq7ffBuRvBRXCwN+XXwKdhOcJox/3hmKfJcX/Fio3WGlCFff1S5ow+JIs7lj7Nla2bQMaNAD++EPnTfpj6NPHFx7jWohv/MUVwIDb5RZ/1te5xmbJdXCnoXeh/cf6geecXgfgqKlfk+J56ls/LpsGDH/WxbvFX9YVyaEMjFYWUs1OCeun1D8Sz10+D8b7iSeeDrS/ZCw6tOygvTxPfTdu7ji8+OmLOH3/0zGk6xAW0F3uRyyguwyoV9mZFrrtgDxx88QUKJHIiT9fVdqWRIuoOJHsj0L7tePSGvRVatWrR0oUX4b08yhBIUkBVd6KjbuRabcuIsBcrmDWSby4cU6GNUTsBkXazUT8VkValbBOJXfiG11lunhXImMqTiZrTqRVua+g4gvoNtdsK5yyESG/fqktthAlZFrKN7rKX3pbLLLlofatbi+vyVKKUJGl3Yp8spwlRJVVaSkBnYqTWVLxNJT4c6O9Dr8b9o3Gv24iqiu2mo5CNSJ1LUUO9azzokhXT7zqIAM1ZzZTpKXmR9WcqXo9Qs2b9HSFbUR8SX16gDgRxbNNm+wq9oZTcTLtb780tQO6UuEvgpoHqTiZIzVsFEMJXs2Pbri9oOZH1aOFxgZnygZUd2luB6lRHcOzJkPa7EXx1eQAaQx7Hayv1dct/xND8oW6IUJpaSny8vz1V+Ro0olwYj4UDQ95m8QPoBQWpNCXClIckS4zczXwoYyaeetL9PL6iPEVDXXo4lX/ChN/338P7LuvuaXyZW8z1TrOK1AilG+Y+IsQbJ5V9ZxzgCefNGcvX3Y/9hjtDz1o/sTSDUccYfZ7Lmsv3SZYLwNkAlrc1y+ZYOLVN3HH2texIm9tvfWWTtUllwATJ3pFXU7k6yt/OYGov410k7/yXpIva1QVLdfpm6wPRp2P97vvafN/LltPvdT1F5XolOYmf9Fpdbhqar08MvsR4Khleh2fOkC4/RH3tKxWFeR4ufbda3FQ3YMSicf3Ho9OBeLWY4xC0OsXFtAj0plYQLcTRYlBLKAbcGIBXQODBfQyKFhA1wcIC+gJLFSXmVTxLKCXdSEW0LWxxAJ6eBaSQW8qvEYiapt6KTZ8/LGOijQvLc1M52qIGn9e86Ty65hOuUGYogwTf089ZfYZvfvu0gR0Osjlbpow8Ze7LOgt3yAuyx8gDkGt/XbUKKC42I5QkPxtFJenOwr3mt9+a67XeecBj4iDXTdC3NcvbmDkVh5xx9rXsXLLLUKdK9Kp2W8/+0Bxi7gcycdX/nIEUz+b6TZ/lD/z/q16o3HLvUzNuvXeszB8tVgcloWgLpv6ibUXZbnNnxd1zIU8ez7ZE9MXC984Ilz8CXDPm3qrfxeWipoOA7aKl2ZWq2TVKlVLCOj9DuyHgZ0H8gt0lzsLC+guA+pVdiyg25FlAb0ME69eWMrsKZGIX6BrnZFfoCeh4BfohvmJX6BrYPAL9DIoVJY4+AW6V0umnM2XD0XDRb0UzG++Wa+TFNTnzQtXHf2sDR/K6GiX59eR4kQekMhg9P/ot4geJv6uvBK4/XYdqeOPB157zc/eHL2ywsRf9NDzpsaffgp07mx2RSBLkq/Q+/UzlxkUf3//DRx7LDDT4mVCmnKfMUMcFagulDqELO7rF4dweJo87lj7OlY++gg48kgzX2uEZa5GjTzlMM6Z+8pfnIEMqG1e8GcV0W+t9H8YOkq3/LBVWFOtexWwvczds9/r44Cg9qRYL/jzpKIxztTa35v9Dvwi9jxVDAYp+5wGTCmzxNWjTQ9NbJcC+oSOE9Bn3z7sA92DPsICugegepElC+h2VFlAL8OEBXStc7AJd8M4YRPuCTDYhLveJ9iEu2F8ZGuhg1+ga2DyC3QvVn2Z5cmHopnh5tVX0mT7McfouVcVBzzyJV+u+kHnQ5lkXyjPr+Pw9sMx7sNxpi7ZoGYDrBuxjvTr6OchYZj4O/poYNYsHSbVq12vxnYU8w0Tf1HEz6s6v/46cNJJwI4d5t+K6eLhUbduelwQ/O0Uh7XnngtMnmxu/V7i4d+HHybdlLgV4r5+cQsnN/KJO9a+jhV5w2RXcSN6yxadmldfBU44wQ2qcjIPX/nLSYS9bbRX/BlFxRFzxctbw6Wuj4UVoiMuTLbLz3Wxt0gGk7tX/AXTmuiVahXPU+L4zMeAriV6e946pD56nGD3rXpL11vQdw/hD0iEJk2a8At0l7sAC+guA+pVdiyg25FlAb0MExbQtc7BArphnLCAngCDBXS9T7CAbhgfLKAnwLD6Kk8h5MRfOgvoXq38nOfLh6LOMfPyi82bk+eqRj/o774LSPEvFwMfyuisq/w6LvhtASZ/bVGrxGfG1wXWvjP3vLno2FLYV/Y4hIU/KTQ2aABs2qQ3mPWKiskPC38V1zT3UtxzDzB4sLnd9eoBH3wA7L9/Mj4I/uTFlOuvN9eraVNAProtLHSXp7ivX9xFK7vc4o6172Ola1fgvfd0UoYJ27rjzBfhsmMst772nb/cgtfz1nrJX2rt/PzzwKkL9Kbc2w645DgWz90g10v+3KhfnPOg3BWM6DgicYF6yS1FuH+q3vo/hfn20+85Gq+v0H975F5x6hlT8dtvvyUSsoDufm9hAd19TD3JkQV0O6wsoJdhwgK61jlYQDeMExbQE2CwgK73CRbQDeODBfQEGCyge7JkCyxTPhQNDHplwYceCkgzvakwejRw3XXhq6cfNeJDGTPKqlcGFXFhNOc+qvMoFHcprugTV/4eFv4WLwbatjU3qbQUyMtzpZmxzSQs/MUW4CwbNnQoMH68OZN84RZqzhygoMBfAV2+PJd1kTqgMUjrKbNnA+2EWOF2iPv6xW28sskv7lj7PtdZb5rkur+ebDqn+NZ3/rKsL39uRsBr/uTa+dTji9B6g15uf2HwYc9hYyHFRg7ZIeA1f9nVLr5fW62TWS0p3PzylRjW53ZUNZhxP70P8NwBZkzm9JuDPWrukYhkAd39/sICuvuYepKjaaErfB3kVbcUQ5nQaqaoirg5bAstFGmpeAc+ftcV0nZuKSFH1iBbUdxJvsq0q+wN3FFShwaoRIHbciJ+pSKtcJNkC1ScTGRYKGjfiBdOZKCEdZVoJMyKkoGKV5kupnyjq3z/NiZKa66oA3UgVqBIq4hv2PYX2wf5VcRpGxEKsNQWWwia6AIivg0WkflSeRT8Redb5yeDHT9jbkuIrO3VTSaimrdMgRsltq+m0+5ca49fZ7cek0i06R97WoOBM9Mfs9UzZWa1iCrXK/OFZP0T6ZpMZYqQmkupeVQW0lKB8W5EfGtFWuJVxzbFS4/S+vaBU6qohDsCur0hv4L+AVkFO3Br/6B9wm1eSUwKayrRAFHzIBUnv1ZdMFLFKyixRavmTGp+pOZGmSE1PyrnTLrCDZvbB+SuVWgwqFfljUAMaFE1foGebkcIVzo+FA0XH7I2V1wBTJig16t7d0Cads/FwIcydtapl+jGVC3rtcSyTfriTb4umHb2tEQSedjix8vzVH3Cwt8LLwCnCd9/qdBYLB9WizVrJcWSIRfHGtXmsPDHfNAISMsKsl+/9JL577J/v/yydLP8jy+viqRF6osvBh5+2FyPypUBaenhOPHKz4sQ9/WLF5hlmmfcsfZ9rmN/PZl2RfI73/lztfacmdf8/Vb6A5q03NsEdKf/7YK5dwlH0RyyRsBr/rKuYIwzKJ5VjNGzR9vcEKT2e3P3qY1OC/XT9JfFMDj5dN1KmbxUfW2na7W14k9bf0Kngk6xQizo9QsL6BHpTiyg24nKVgxiAd2AKQvoGhgsoJdBwQK6PkBYQNewWAEW0BNgsICu9Qk24R6ehWTQmwqvkYjipl4KHyefrCNTR9zH3CDuuEh/6LkWosifVxwZxe+eT/bE9MXC4XGaISj/jmHh76qrhJnOsTpYxxwDvPVWmuDlcLKw8JfDFFTYdOlGWVqDlibSjaGaMNV533070KtXcnPm1auiNeICfx/xokm+ereG++4DBg6ssAkZJ4j7+iVjYDz4MO5Y+z7Xsb8eV3up7/y5WnvOzGv+bru+B4aO0hd9W8VjmbojgTHH8At0N3qf1/y5Ucc452G9HG0U1Y+YsQCdb9DdfMm+v9e1u+LnUeu1S9Up/l5a8BIuf/9yjDxqpG+WyvzgJej1CwvofrDsQhksoNtBZAG9DBN+ga53jgJ6sPEL9DJc+AW61kH4BXoSCidWO2R6FtDLuhAL6NpYYgHdhUWeS1kEvalwqRnKbKK4qZduyKTPWGP45BNAmnbPtRBF/rzgyHgYIvMvmllUYTFWH+hBiOhh4a9HD7NgXiTgu/nmCiHM+QRh4S/niagAAPmb0aULsMDg3zX1yYABf+Daa39H8+ZNUKWKwsRWhgB//33ydfkSwtqZvLAywmPLuHFfv2RIiyefxR3rQOY69tfjWl8NhD/Xas8ZecmftNq0bnQRbnlHx/kTYQjx8IuS/w5ibRw3xr3kL25Yed0eq1n3E5sehecHz0F1g7Has3sDB1yhXx6R/E2aPQmPf/U4vvz9S2zbuQ1zz5vrq8UyL3EJev3CArqX7LqYNwvodjBZQC/DhAV0vXMU0IOOBfQyXFhA1zoIC+hJKFhAz/CHmgV0DTgW0DPsQx58FvSmwoMmmbKM6qZ+n32AhQv1pkjfstK0e66FqPLnJk/WwxBj3u3z2+PD0g9txRl9nhv/6PdBYRj4k76ZmwmrQFJkTIXnnwdOPdVNluKZVxj4iyey7rdqo3CNdcYZwLSktwZT6Nr1L7zwQlU0bOiegD51KnDWWcL11iZzWdLn+RNPmK2ouN/aZI5xX794hVsm+cYd60DmOvbXk0lXJL8JhD/Xas8ZecVfyuXRc2LNd5rhgtmUzs3Q5+hVGvB+r43jxrhX/MUNJ7/aY3X19fpT4rLjT3rpr+8JnHCmfnlk3NxxePHTFxMJpIB+Q9cbMKKjxzcg/QIjBGtFFtB9JDubolhAt6PHAnoZJiyg652jgB5lLKCX4cICutZBWEBPQsECeoa/zCyga8CxgJ5hH/LgMz4U9QBUF7K8SLyMePBBPaOTTkr6tM21wIcyScYpv+fywK9F3Rbo+0pfU7doWKshhrcfrnyl7uergjDwt3w5kJ9vHjmLFgFt2uTaaHLe3jDw57zWufuFeESUePUtL1xZQ/PmOzF8eCUMGABIkTvTMG8exIt2YOZMew677w689hpwyCGZ5u7su7ivX5yh4W3quGMdyFw3ZUrS/0Eq5LK/niy7byD8ZVln/lxHwAv+jOvmRXeKNd96vbwPrj0X7x+zt2mdzCJ65j3SC/4yrw1/KREwuvo650tg8is6Ln9XFheLhwn3cLWSvtBnLpmJg+oelEhwSrtTMLzT8FiBGPT6hQX0iHQnFtDtRLGAXoYJC+h65yigBzQL6GW4sICudRAW0JNQsICe4SKABXQNOBbQM+xDHnwW9KbCgyaZsozqpl6+4Otr0EUbNwZWC1e2lSp5jVi48o8qf16gaBXR5WHftJ+mYfay2eUWZ3yNPqrzKF/92oWBPynonXiiDlH9+sB6cZCaa2Mpkz4ZBv4yqXeuf/Poo0gI5du22ZGQ1hiGiYNT6Ztc6nXphs8/B667DnjjDfqLdu2AV18FWgjTuH6FuK9f/MIxnXLijnUgc51c1MkBaQzz5wNyMHFwhEAg/DmqIScuDwG3+TOul3fdItZ8t5hL/+nt57BH99Nsl1NZRM+sn7rNX2a14K9SCFj3i/W2ijOEW4Ea4pJlKpwn9kWPHZz8V7VK1RICer8D+2Fg54Guu/sJmpmg1y8soAfdA9Is39RRxC37vGqWD8UBgi00UmRu8cWYSEXFyXhq46TaTLUkyiuk67CyKVVhWsxRCTwlKLBl7kQMUqVdBsvTBlHKyl8UjS6pSTewhIgWrybIsJKIXaNIu4GIp+JkMkpY367IVxVPJVc0GVT8roryqHhxoEyG5kSsnfpkojxFHm3FL40l5O1eSibOF5KiNRSAIhSiB9rjC7GUzLcNFhP50mkL11GdQhwQGsy1aJkRvuoSf6OyVgnoFBRiH0gG3UKS9uc/19FJ1/1hj7dYB9QSiPVw1sE6LcoM6ypyrUdYPmxIT0uoRM2lTuZMWQdqCrFPNcnaOphLd7a2N3BZwyZkq51cOvqVrDA9R69QpF0Fy0GCqNVqxY/NGtgngA1r6Qlk25p69vY5mQfl1/YpAXAyD6oEdCpeNWdSzdtF2KclQs3GhqvWhr/vWt/e8AagwWiEtbacG4H+sWkmmLIG6nuZphnsk4I17brlf2JIftIWaWlpKfLyVJN11tNATmcQ9KbCa/CjuqkvKQEKLeth6d9WmnbPpRBV/rziiHqJXl5ZxsNAaQq+Y8uOXlWNzDcM/I0eDRQX69Xr3BmYNctXGCJbWBj4iyx4AVf8/feB3r13Ys0a+tZVE7HsHzQIOFgcoO69d9IiQzXDpmiNWOp99RXw9dfAe+8Br7+ubtBppwFStM/mZXsmcMV9/ZIJJl59E3esA5vr5OD74QedtttvBy6/3CsaY5tvYPzFFlF/G+YGf6k1rnWdfGvlHhh63XStQX+J87wqm/9A1ZpJUyyDpg7CpM8maX9nEd05927w57xU/oJCwNr/5Qvz6Yun4+VngJMMPzXv7lkN3c5M3rKUAvr5e5yP4qOL0UQsDqtUcc/dTxhYCnr9wgJ6GHpBGnVgAd0OEgvoZZg4EY5YQNc6EgvohjHFAnoCDBbQ9T7BAnoFP8wsoGsAsYCexiLOpyRBbyq8bmZUN/XSb3NLcTFKmp9OhfvvB6Rp91wKUeXPS46ciOhBHwSGgb/evYFXDKYLL7sMmDDBS4bik3cY+IsPmv63ZPHif3DBBdvFhZEaFRZeVaxR27YFdtsNWLgQ+PXXCj+BNNk+ahTQvz9QWZgE9TvEff3iN57llRd3rAOb6y68EHjoIR16+YMlTbtzcIRAYPw5qiUnViGQLX/Fs4oxevZoDPz3QJsYfuhTs9B1ki6gf1dQB/stTb4aS62nuxV2w8ylul8SP10dxaFXZMtfHDAIQxsoS2XSl7mM//KOIjzzkl7L7eJuZfOhwFphiYhfoHvLHgvo3uLrWu4soNuhZAG9DBMW0PXOwS/QdSz4BXoCC36BrncJfoFu+B3hF+gJMPgFumvLtFBkxIeioaCBrMSZZwLPiBvjqXD22YA07Z5LgQ9lkmwbX487EdDlt0GK6GHgT1pykBYdUuGxx4B+/XJpFGXe1jDwl3nt+csUf59+Wg13390QM2a44wOkqbCoNXJk0kx8TZXFJB/gj/v6xQcI0y4i7lgHNtc9/jhw7rk6D9I0xCphpYt9jKTdN2XCwPhzVEtOrEIgG/7k+rjTo520rFNieGrt+2H7fLSfp99GnttzP3R681ub+faU+O63q6M49Ips+ItD+8PQBus4sFogm/vdNAw54SbUNjyOvOg4YeXxv2Yf6ON7j0enguR4CsJymRdYBr1+YQHdC1Y9yJMFdDuoLKCXYcICut45WEDXsWABPYEFC+h6l2AB3fA7wgJ6AgwW0D1YsAWYZdCbCq+bHuVN/X33ARdfrCPUqpVZCPQauzDkH2X+3MIv9bLG6Mu8vLypdEGJ6EHzt0Hsdxo0MKP15ZfAgQe6xU688wmav3ij633rrPx9+mkVSJcG05LecRwHOZZGjAAGD3bmP91xQWl+EPf1S5ow+JIs7lgHNtctEX71pP8EY5AmIPbayxde41JIYPzFBcCA25Etf9aLpVIMv+84sYkS4efG1dBqra4avn9tP3xwzD4omlmktTq1Ro6LYOg3ndny53d941qecb8oX57LYIxrO/Aq9PlOd/04q6ASuizdgXFzx+HFT1/E6fufjiFdhyRMuKfGVBwulAS9fmEBPSIjjgV0O1EsoJdhwgK63jlYQNexYAE9gQUL6P/P3peAWVFcbb8wwLAvwyrO4CDggkSMu+xKXJC4RIL6RXCPuzFuMILK4IaI/HGNJG6RkIioibu4oCxGiIiiqBgBGRkcYNj3Hf6qe+d29719aqbvvb3WPZXnez6pOX3q1Pue6lvdb1eVmRIsoFt+R1hAj4HBAnpEJoEOwwz6ocJhmBmbRfmhfsEC4Mgjk7u+bBlQVJQxHJG7MMr8uQF26ooCq89zDz0Xr/3Psje5+GNBgwKsHbbWtrJGXheEiB40fzNmAP36majJM563iJ0769Vzgx39fQTNn/4Ie9tDFX9z5wITJwLyN2bhQqCyko5Dri7v1i3+wclxxwEXXgg0a+ZtzOl4133+kg4WXtvqjnVg9zp5Xk+heBlVUWFS+PTTEGcveE2pVv4D408rFIPrjBv8UdtXX3XwYLQ4MPkDlYcevxDD1042OhvE3Dg4pL1p2Q3+vIks97xaPwJJfYY87zvg1SkmJvvEfz40+Ubc/ts/YcZ3M9C1ddfYGegPz3446QOTqB9pEPT8hQX0iIzDpEQpFnMz8dIgqYjzDmylQNG5lmnYtiVs2yv8Ui8BxZmPVNmteGFY0UxsdZRSKNFHmpRB7OPn0DYd4Yi03UsHvK5MAUYZsa2a5ezLpLCp+jUKjFcS9ekI6PEjYuwlnbPRVWf/Utu+qbaCa07E0EoRG1XfTmFb7Ly+bvEm0riopf1A8GJQajREBpbZfBQTddKIqu+MxWQMKh/tyjfa7cXHzmRZRNRSZ51LM/ES31aoOmlEvZhRvKxZu9budtNeOtzNim5sV9Q7rW6gMKTqmyps2xD30lrUfVReL7ZCJAt1q3DhXgrqHmu/NcZC+pnoSAXoIFT3Xcpe5aMC4vDFlFIJ6kdFnNkjpNzUsgb0TWHDXvsNZPMG+lOJ3Yp67CDu0ZSoLoNS3R8poqn7o+o+2Hi3zUPdxnTGN2lOj5DmefYfgOZYT6Zgc9htWwnkqdKSqE9PbE/+EVu7fDtuLHo/1lR5ebl4v6T62snpyGY7CoGgHyq8ZiXKD/X7xJNtK3FLW28Znv/4ByC3ds+VEmX+3OKI2rJdvvB77fvXMOfnObZmzuh0BqYuMc97tBr4/RIkaP4eeQS4+WYTgV/+EvjiC7eY0d9P0Pzpj7C3PXTK37p1wP/+Fz/7XO4effDB8Y+3unSBWInkbYzZeNd9/pINNm5fqzvWTseK27jG/MkvU156yXR98cWA3Nqdi2MEAuXPcZRsqELALf5S58vjag/AbXebW67sFL9nTe4Adle9e2Hx3J2cdIs/d6JhL1YErGOivniNuGoc0HSXafHH04H2I8fi4i7id0eUiYsmYvhH8dXrsugwRoKev7CAHpExyQK6nSgW0KswYQHdTI5ixYAm6llAt2DFAnoMDBbQzZxgAd0yPlhAj4HBAnr4J4xBP1R4jVDUH+rPOgt46y0TpWuuAeTW7rlSos6fWzylvhSsTiS3tmndzj2IbfiC5k8eLWvVIS67DHjuObdY0d9P0Pzpj7C3PdSdP93nL95mR3redcc60LHyxBPAjTeahHQUX7XLrd25OEYgUP4cR8mGKgTc5M86X779E7HC9kOz1bliDcjxV8X/rYMwGJaMcpO/sPRJlzhSnx//9m/gkq/M3v33QKD3VXXxp15/ilXe/MnN2L0/vmBHlzES9PyFBfSIjCYW0O1EsYBehQkL6GZyFCsGNFHPAroFKxbQY2CwgG7mBAvolvHBAnoMDBbQwz9hDPqhwmuEov5Q/9BD8TNnE+WII4BvvvEatfD4jzp/biJJrUS3+j/6gKPxxQpzebUU2d8dEl95E9S5jkHzd9RRwFeWF0WPPgr84Q9usqK3r6D50xtd73unO3+6z1+8zxDnLeiOdaBjRf5IyR8ra1kutps8UCgbXBwhECh/jiJko+oQcJu/xHx58svABd+aLU84BrhWfJisizAYlqxym7+w9CvqcVDPjaeLHWenit3srOWwm+qg6UFiiy5R5m+eHxPQdRojQc9fWECPyEhiAd1OFAvoVZiwgG4mR7FiQBP1LKBbsGIBPQYGC+hmTrCAbhkfLKDHwGABPfwTxqAfKrxGKOoP9bNnAz16JKO0Rpx20FJ1JIjXgPrsP+r8uQGXVfweMGmAcnt2qq2gX4AEyd8usUVh48Ziq07LySfyTPQ+fdxgK9VflAAAIABJREFUJTd8BMlfbiDsbS9150/3+Yu32ZGed92xDnSs7BVn1clJ3UbLsXsvvhjf2p2LIwQC5c9RhGxUHQJe8CfFw/POKUEXcURJovxeiOedhz2I4b0sXyYzNVkj4AV/WQeV4w5SxfPEjmR3vl+CivFA620mQHefUhtTfy2+LhFFCuj3nnKvVmMk6PkLC+gRGYwsoNuJYgG9ChMW0M3kKFYMaKKeBXQLViygx8BgAd3MCRbQLeODBfQYGCygh3/CGPRDhdcIRf2hXoqAzZsD27ebSL3+OnD22V4jFw7/UecvWxRLp5di9IzRsZUAspRMK6nRZer27kGK6EHyN38+IM88t5YN4vmnWbMaIWSDKgSC5I9JyB4B3fnTff6SfQa450F3rAMfKwMHAu+8YxJ2/fWA3NqdiyMEAufPUZRspELAC/42rlqGZu0OSmqy7w2NMePxzUyEywh4wZ/LIeaUO0o8T3w0Iv/W9OYSXPu5Cck3bYDLS46LVbCA7n6qsIDuPqaeeGQB3Q4rC+hVmLCAbiZHsWL4EfUsoFuwYgE9BgYL6GZOsIBuGR8soMfAYAHdk+mdq075paircHri7OSTgenTTde33QaMG+dJU6FzmssvZeTK897P9yY5ObTlofjf2v/Z/qYS2oMS0YPk7/nnxQuhy02IDj4YWLIkdCke6oCC5C/UwEQkON35033+EqY00x3rwMfKmDHAiBEm5UcemXz+SJiSIYSxBM5fCDGJUkhe8PfwmLNw24i3DBh21xa7Eokhds/pvALd7dzwgj+3Y8wVf6nPjqnPf/Lvs/8xFrdbxobE5sLbj8CPBzQ0tnCfddks9OrQy4AtqKPA3OAt6PkLC+husOiDj6REKQIK66Q02ogIQvVVPlVfoOgEta1ke4Wt+NrFVjoobEUfqLK1g/g1TCnl+bRxBeyBlKGY9EuJQSqBKB3bip00GBvL2tnjKFNgIY5FshWqThqJrT5thaqTRpSwvkURg6reK+GoPhGHWJVFllZELQFvzEpVT6UFnSpo1nmlrcGi/HIytCLY64tBE90Zi20+VLbq+qU2HwWLdtC4iTNRbMV+edyEqq9Q8EGJ7ZW07f619vpKy9ZL1r8SprE/WxbqGeZUnSJa1FX8IfUWKs1UAjpV30Zxz6yl2oqXuj9SdTIQ6r6puu9St0fxYlmRsLbq1e3FnqhEUQvoB9isVxD3YmlE3aNXoS3ZXiXsYKwBNfjlrc1+s6DqZEPb0JBsb/vWBrb6nTvySdvdO+qp0stRfd36YtkpUfLr77TVNmhEZ3dD0ROqNIH9y+vm5M1frHwl6lW2rYgfm5agRyklrLdKsV27fDuuLZoW60J5eTkKCwsdYcdG6SEQ9ENFetGmb63DQ/3ddwP33mv2/YQTgDlz0sciilfowF82uFPn18mXIQvXLMQLX72Q5LqgQQGG9RimXKWe+jIkm7icXhskfzfdBDz2mBnpeecBr77qNHK2kwgEyR8zkD0CuvOn+/wl+wxwz4PuWAc+Vj75BOht+WCuVi1gnXgBIrcg4lIjAoHzV2OEbFAdAm7zJ+fOK+8rwZ/eM1v9UrzzPfqa+L+D+qhU1yxwmz9dcfKrX9bdy6zHFSTqH+h3H4acfSeKNpkRTTy1EJtLSnDzJzdjRJ8RKO1Xavwx8Sw6qu+opHq/+pNtO0HPX1hAz5ZBn65nAd0ONAvoVZiwgG4mBwvoJhYsoMewYAHdcu8kxHYW0E18WEA3sWAB3afJncvNBP1Q4XJ3bO50eKj/4APgtNPMrtURX3PJragbUR/Ceg2oz/514C9byKit+B7/7HH8vPnnal1bV6MH9dIjSP769gVmzjQhuuce4K67smUjt64Pkr/cQtqb3urOn+7zF2+yIjOvumMd+FjZKT6QlueLyP+fKG+J1bNya3cuNSIQOH81RsgG1SHgJn+JOfML/wIu/tps9fWerXDuqeZLcBbR3ctJN/lzL6rc9pS6Yjx1Zfo48XHJbbNNjJa3zMdrL41D905HoXex+TFX6jNoEB9jZ8tk0PMXFtCzZdCn61lAtwPNAnoVJiygm8nBArqJBQvoMSxYQLfcO1lAN8DgFehxKHgFuk+TOJ+aCfqhwutu6vBQv0Xs+CMXIe3da6I1TWzOcMopXqMXvH8d+HMDRWolenV+rS8Gg9x2Lyj+9u+Pj5lNltUVb7wBnHWWG2zkjo+g+MsdhL3tqe786T5/8TY70vOuO9ahGCt9+gCzZpnEyC3d778/PaJy1DoU/OUo9m502y3+rHPlBU8C3Vab0c28/XzMPvvopF2aWER3gz3ercgdFL33Yh0fR4udY+f9NbnNS286HF0HXYphvYfF/lDdWereR+teC0HPX1hAd49LTz2xgG6HlwX0KkxYQDeTgwV0EwsW0GNYsIBuuXeygG6AwQJ6HAoW0D2duvnuPOiHCq877NZLGa/jrMn/cccBn39uWo0eDcit3XUvuvDnBk/piOhheSkYFH9LxTFD8sxza1kmjhMqUhwH5gY/OvoIij8dsQyiT7rzp/v8JYicUbWpO9ahGCti+1yMHWtS0K8f8PHHYUqD0MYSCv5Ci074A8uUP+sHotY5cgNxEt7mMUCe+JgyUb557a/ods7vtREFw8RqpvyFqQ+5EEvSc6QYGz88DnSxHJX6Yp+2uKT/Otx7SvzcuJJp4jepqoTluTITnoKev7CAnglrAVzDAroddBbQqzBhAd1MDhbQTSxYQI9hwQK65d7JAroBBgvocShYQA9gQudhk0E/VHjYtZhrXR7qb74ZeOQRE60zzgDefddr9IL3rwt/mSCZunI8HQFdtheGlx1B8fcvsXXnoEEm6i1bAqvFSiR5rCwX5wgExZ/zCNmyOgR050/3+UuYslt3rEMxVuQ2KeecY9LesCGwcSMgz+3hUi0CoeCPOcoYgUz4s57zLBu2in1jG/8Gw277txHPXjH327muEg2bt7YJ6GGZL2cMXgguzIS/EISdUyFQz5CjPxIf41uOulrdtC6Kbt6PnbX2JGEThufJbMgKev7CAno27Pl4bVKiFAOFqapQPhFMfUWATYl6cUwPWcRLCltpo7Cl6tsrbFX1Hez264rojpTDrgZRddIjbUs0prSllzlU4ACyg+Ub7fY7ygpoMJYT1VSdNKPqVQI6VS/O2SSL2FKULDuI2uR7cPWjQPWMQFHaWOGqFVFP1UkzVX0h4aNY0V6x5fPGKpPWncpJ4yKIJTAppSPKSNtiop6qkxcXQyy3IUpnLLHVFm/9ibStn46A/iPhgu4yiC4DYtsYslTaa7cRddJq3VbahWXHTsNgs6K53US9Kl2p1Gyg8EvVU7dGeXmB4l5al7o/unEvpW5jqlVZlC19G4TqvrsC9ps39TGTxIKqXwW605Voa0N/DWiU1xIDfYOQgqmyGU3I+m2ws7od4uUGmUN5ttq9cP4CJA90FtaBZQ/nqhbqQXxmTZQmoLO+IbbZrFW2lFiuEtBbYq3Nb3OsJ2NrRdimXr9m+Q5cWRSf1ZeXl6OwkLopKwYgVztGIOiHCseBZmioy0P9lCnABReYIMijMteJr8Zr184QmIhcpgt/6cJtfTE4vNdw8oVfqk/5gmN62XRMXTLV+FPQLz2C4k/uznBvfAFFrPTvD3z4YbossH1Q/DHy7iCgO3+6z1/cyQJ3vOiOdSjGivzKq03KM++8ecDRR7tDosZeQsGfxvh63bV0+Us9z9kan5z3nvjGF+g7Tjw4VZUl7fLRacWOaufSUTzb2WtenPpPlz+nftnOHQSordil579NLsFCcdSBtZx6aR4+LDbfNwb9HOkGAkHPX1hAd4NFH3ywgG4HmQX0KkxYQDeTgwV0AwsW0ONQsIBuuXeygG6AwQJ6HAoW0H2YwPnYRNAPFV53VZeH+uXiY8jU7ae//Rbo2tVrBIP1rwt/6aCY+mLwjE5nJIniv2jzCyyoXJDksqBBAYb1GJa0AidhEOTLj6D4O/ts4M03TYhuvRV4+OF0WGBbiUBQ/DH67iCgO3+6z1/cyQJ3vOiOdWjGSpcuwOLFJmmPiz12b7jBHRI19hIa/jTG2MuuZcIftaI2Md+dedqh6PPBD0bI/+nTEZ/cf7VtS2ppIFeuj+o7CqX9Sr3sota+M+FPa0BC1LnqzjGXfzv9tyU4apUZ8DPH1MLvzzIXBwb5DOkWjEHPX1hAd4tJj/2wgG4HmAX0KkxYQDeTgwV0AwsW0ONQsIBuuXeygG6AwQJ6HAoW0D2evPnsPuiHCq+7q9NDfQdxPxabMRjl6aeBK6/0GsFg/evEXzpIqrZrly8yxs8ej9XbxEq1akqq6B7Uypqg+EsdK3//OzBkSDoMsK1EICj+GH13ENCdP93nL+5kgTtedMc6NGPlkkuAiRNN0n73O+Af/3CHRI29hIY/jTH2smuZ8qcSB7/r0BBdy7cbIT9zUVf8vst3xr+tomDqcUle9lNX35nypyseYelX6gfZlBj+3IWH4vKXzI9N1okNN9uJj453WzbODOoZ0i0cg56/sIDuFpMe+2EB3Q4wC+hVmLCAbiYHC+gGFiygx6FgAd1y72QB3QCDBfQ4FCygezx589l90A8VXndXp4d6uYW73Mo9US6/HHj2Wa8RDNa/Tvyli2Tqi0Epivfq0At3fnxnta4SL0gS1we5siYI/taK00RapcztF4gF+926pcsA2wfBH6PuHgK686f7/MW9TMjek+5Yh2asTJgAXHutSVhxMbCUPqYve1b18RAa/vSB1NeeZMNf6lz5/l6jcNvpo1HPcupdP/FdyoyO8S7psKLWV3IcNJYNfw7cs0kWCKQeCZbqqvzrT1DUvXdS9QVDG+Doq0ZpsztD0PMXFtCzSGA/L2UB3Y42C+hVmLCAbiYHC+gGFiygx6FgAd1y72QB3QCDBfQ4FCyg+zmT876toB8qvO6hTg/1jz4K/PGPJmKHHQYsXOg1gsH614m/TJBUrUSvzleYVtYEwd+0acCvfmUilJ8PbNkC1LGspsiEi1y8Jgj+chFnr/qsO3+6z1+8yotM/OqOdWjGytdfA927J1NUUQEccEAmtOXMNaHhL2cQd7ej2fJnnSsftQL48i/J8TUfDmwUK2tZPHeXt4S3bPnzJir2mkCgul0W5NjpddEd6LnM3Lb9pSOAsgkPomeHnrEPt6Negp6/sIAekQxiAd1OFAvoVZiwgG4mBwvoBhYsoMehYAHdcu9kAd0AgwX0OBQsoEdkEugwzKAfKhyGmbGZTg/1n30GnHBCMhRytW1BQcbwhP5CnfhLB2zry45sRfR02nXbNgj+xo8HbrvN7MmxxwJz57rds9zwFwR/uYGsP73UnT/d5y/+ZImzVnTHOjRjZa9YNtuiBbB5s0nMq68C553njKgctQoNfzmKf7bddoO/xFz58i/E7lxvmBEtEcOp800snmfLUXXXu8Gfl/GxbxqBxJi5fm5tPPH2PsNou/jguK14jho58EEM7yW+Pol4CXr+wgJ6RBIoKVE6AYV1UwKnvsSvr+hcI6KeqpNmzQhb1cu9NoRtW0UMqg8v2xP2lOgjzFa2sQdHierSY7ZiewWowGi/qvYq1tI+dpc1tXe6TIHbSqJ+ucKWEtY3KGxV9WKVh63sUPiglErVCpF08rUx0Z5KKFfVtyN8FCr6QdV3pjtdeKDlANMqd0Ui26hSDDupVJ28tiPo7b0o+05YTLbXcZ09WWr9qOjzIqJetcPYMsKW7jJQSdiKD6+pskkIB1RZu9Nea3kMTfqjeTqSWU3VKVCAKl3FR662QozamI2qvg1x36zVUhEJdS+l6uTl1G2FvtUA1L20SBGD4r67qUPqjw9QkUc3uAr2H4BK0B2hbFcpbDcI2Te1rAU9+DejCdlBqn47KKaBnRBL3lLKXuSp0shxfR4s+5FVXZUvWqNKPewi65vAPhqoOnkxVa8S0Kl6tdhu/7FpheQBvXr5TlxUFFc9ysXBz4WFqhuwY/jYkEAg6IcKr0nR6aF+lxjSzcQ0dodlevH228CZZ3qNYnD+deLPKYqp2+05EdDlqprpZdMxdclUo5kwrLQJgr+hQ4FJk0y0r7wSePppp+iznRWBIPhjBtxDQHf+dJ+/uJcJ2XvSHetQjZVTTwU+/NAk7VZxIO3DD2dPosYeQsWfxjh71TW3+JPz5ca3lOB6y0eTL3cFfvyLHkKgV/hn69ct/rKNg693joD12bLdtjpYPn4f8vaaIvol5wITj9Ljw5Og5y8soDvPy0AtWUC3w88CehUmLKCbycECuoEFC+hxKFhAt9w7WUA3wGABPQ4FC+iBTu1cbzzohwrXO5TiULeH+t7imLJPPjE7OXIkcN99XqMYnH/d+KsJSbnyvPfz5ll08txzqyhOXS+FcllKppXY/hy0iB4Ef7/4BfDNNyYUTzwBXH99Tcjz3ykEguCPmXAPAd35033+4l4mZO9Jd6xDNVZGjQLuucckrUcP4D//yZ5EjT2Eij+Ncfaqa27yN7tDLZxkWagz6rS6GP0evajAq/7kml83+cs17ILob+qH2WNPGYs/3Psh6n/wgRHO+wcDp18c/2fQz5LZYhT0/IUF9GwZ9Ol6FtDtQLOAXoUJC+hmcrCAbmDBAnocChbQLfdOFtANMFhAj0PBArpPkzifmgn6ocLrbur2UD9c7KT20EMmaqecAsgzn3UtuvHnhCfVinP5AmPERyOwb7+5QqBR3Ua4q89dSeJ5qug+67JZgZ1h5zd/cneGxmIXKrkLbqLID0569nSCPNukIuA3f8yAuwjozp/u8xd3syE7b7pjHaqxMlXsJDNggElYvXrApk1Avn13s+xY1efqUPGnD6y+9cQt/sZMvw83nXoXGlp2OT19CHDK1bwC3Usy3eLPyxjZdxyB1GdM+Wx520m3YfMzz6D5NdcYMO2rXQsH3rwfK6s25oyyiB70/IUF9IiMPhbQ7USxgF6FCQvoZnKwgG5gwQJ6HAoW0C33ThbQDTBYQI9DwQJ6RCaBDsMM+qHCYZgZm+n2UP/668C5Ylu1RGkkjlPaII7UqaM6TyRj5MJxoW78OUU19QWHFMVPKjoJo6aLlWnVlMQLjsT1o/qOQmm/UqfNum7nN3+ffw4cd5zZjVq1gI0bxXEk9MksrvdXN4d+86cbfkH3R3f+dJ+/BJ0/1vZ1xzpUY0VO6uQ56NYyezZw4olhSolQxRIq/kKFTDSCcYM/Oe994cUSfPfn5D63EWc5rxYfVkZZAAw7i27wF/Y+6hAfJZ7LM85j/P30E9oceSRqb91qdHXaDQPxq1birLiqEtUxFPT8hQX0iIweFtDtRLGAXoUJC+hmcrCAbmDBAnocChbQLfdOFtANMFhAj0PBAnpEJoEOwwz6ocJhmBmb6fZQX1kJtG2bDMeXXwJHiXPKdCy68ZcOR07OPrf6S32xIbeD79WhVzpNum7rN39iAQV+/3uzG126AD/84Hq3csah3/zlDLA+dVR3/nSfv/iUJo6a0R3r0I2Vbt2Ab781uRk/HrjlFkdc5aJR6PjLRRKy6HO2/CXmyxd9BUz6txnIz01rofCW/UZFVAXALKD15dJs+fMlyBxvJPWIMOtYSPDX7A9/QIOXXzaROuYYjH1kcNIuZ0HuapYphUHPX1hAz5Q5n69LSpSuQKHY/afGolrBQu0YJFa9kIWqb6mwLSDqVbZtFD7aE/VUnTDbXWS3rWjWmnRcDrsxVScvpupXgA4iHR/LiBhkeyt/JnyX1acBosRylYC+knCxRoG7+DiWLFS92FKRLKr6GhO1ykCVr+IrQ1uh6qSRSkCn6tspAisk6otp27qdxRZcKaV9ywrSuBhltvpiLCVtOxK20pD2Yfcbt7X7PqhyNd2RRUQ1HRrwI2FrOZso6a/LCFshGJBFUb9prd167U7axWai2s5Q3MiyG5QiILOaSs0GiquaplHfhrpniutrUfdN1T2TqlfcM8nbmMqWEttl34j77g6Fj4pG9kFWiRS1qAqvVUT9WtA/IGuI+g1I+bq/yu8GIRFTJR0BfRsa2lzshJMf4fhle0Hf3PKILMwHfa5XPdBJ35D4RKQhtpF9bgL7CGlM1MmLW8B+81eJ7S1hH6SptpXLd+H8ovmxuMrLy1FYSN1oaxyKbFADAkE/VHhNkI4P9Z07A0uWmMg9+SRw3XVeIxmMfx35SwfJdET0ML4Y9Ju/G24A5HhIlMGDgSlT0kGcba0I+M0fo+8uArrzp/v8xd1syM6b7liHbqzIL8HkF2GJMmgQ8Mor2ZGo8dWh409jrL3oWjb8WefJ48XpB7fMMSP87Jh2+PiRPyYJgGGcK3uBqZ8+s+HPzzhzva3S6aUYPWO0bTeGBH/1pk9Hwf/9XzJM33+Psatfi42hoHc1y5S/oOcvLKBnypzP17GAbgecBfQqTFhAN5ODBXQDCxbQ41CwgG65d6bxgRJYQDeAYwE9DgUL6D5P/DJoLuiHigxCTusSHR/qhw4VKywmmTAMEef7/f3vacESGWMd+asJfOvK8XQEdOk3bC8G/eavl1hw/5//mAjffz8wYkRNiPPfVQj4zR8z4S4CuvOn+/xFlQ3Lli3DY489hrfffhvyv/PF2didxZd1559/vviY7jo0bGj/iDfbzNId69CNleefBy6/3KStvXggXy5e4MlzSbjYEAgdf8xRWgiky19inpw6R/50Un2ctNhcoTXjkn7o+7ePyXOf5dbVXNxBIF3+3GmVvWSCALU7mcHfnj1oe+yxqLVqlen6rruAe+5BGHY1y6S/8pqg5y8soGfKnM/XsYBuB5wF9CpMWEA3k4MFdAMLFtDjULCAbrl3soBugMEr0ONQ8Ap0nydzHjcX9EOFx92Ln+u1Or6TSuvWrZGXl+d1k577f+qp5BXnBx+cvCLd8wB8bEBH/qqDz7o6QNrJL/6rK1IwT7ULk4juJ3/79gHNmgFbtpiICX0JZ57pY8Jq1pSf/GkGXSi6ozt/us9fqCSSovlFF12EjRs3kjl26KGH4p133sHBcmLgYtEd69CNlf/9DzjssGQGy8qAgw5ykVV9XIWOP32g9aUn6fCXmCef0ekMTF0ilpxXlTEn349rTxuJZpYN+Ob++U4cd+29MYsBkwYk2YdpruwLyB42kg5/HobBrjNEwMpfmzFjUFt8oGcUOZdYvDjSH28FPX9hAT3DxPT7MhbQ7YizgF6FCQvoZnKwgG5gwQJ6HAoW0C33ThbQDTBYQI9DwQK637M5b9sL+qHC296J4xA0FNC/Emf8pZ55vlIcwZN6NrrX2PrhX0f+VLilnk9ntZMv+u6Ydgf2i/8lSuN64m58x2bbyhr597C8GPSTP/l+R555bi0//wzIhXtcMkPAT/4yi5Cvqg4B3fnTff6Syu1X4se/R48e2LZtGxo3bow77rgDJ598MrZv347Jkyfj6aefjl1ymBBe586dG7Nxq+iOdejGyn7xW99KvKRat86k8MUXgQsvdItSrfyEjj+t0PW+M075U82T5Zz3gvrHovi4XyUFu+K7z3DA4ceR82RpGMXznL1nI/0WnPKXvme+wg8Ekvj76SfknXhicrOffgqcdJIfoXjSRtDzFxbQPaHVfacsoNsxZQG9ChMW0M3kYAHdwIIF9DgULKBb7p0soBtgsIAeh4IFdPfna0F6DPqhwuu+6/hQL74JQPPmyStt//1v4NxzvUbTf/868lcditSW7fLF4Lbd23DPzHtsl6auwLEahOHFoJ/8vfoq8NvfWqb3Yn5fWRnpRRP+D7iUFv3kL/DOahiA7vzpPn9JTUkplk8XZ5TWqVMHM2fOFO+zk19ojxs3DsOGDYtdNnr0aNx9992uZbXuWIdyrPz61xD79Jsc3ngjxN79rnGqk6NQ8qcTwB73JR3+UufJch787pB38en/uxk9bn3EiHRNo1pouWkPHvp0XNJuTol5c1TPc/aYiozcp8NfRg3wRZ4ikMSf+HAr74gjgB9+MNu8/nrgiSc8jcFL50HPX1hA95JdF32zgG4HkwX0KkxYQLe8YVMMOkpYb6ewLSTqi2nbup3t8mz7lhWkcTHKbPWUyC2NOhK2sp72Yfcbt11qa++gyvjWt7ayiKizXx43+pGwLVdguYyoFy9AyaKo37TWbr3Wsp2T9a+bCccsoFtAYQHdAIMF9DgULKAr7kcRrQ76ocJr2HR9qP+VWGQxbZqJnnxnPnas12j6719X/qpDkno5aN2mUnWtdTv3sLwY9JM/qRXdG9+pM1b69wc+/ND/nNWpRT/50wm3sPRFd/50n79Y80iuKD/++ONjVVdffTUmTJhgS7N94hyLbt26YeHChWjRogVWiXNM69at60o66o51KMfK/fcDd95p8nfMMcDnn7vCp25OQsmfbiB72J90+UudJ8v57/FPvoaTJ88xopz3i5b48M+3J4nnid2Zonyes4c0ZOw6Xf4ybogv9AQBG3/yt2fUKLMtuRtKhdArXJpPeNKJapwGPX9hAd1vxjNsLylRjgIK8zN0JC+rT1yr8kfVizPpyELVt1TYFijq2xD1qu36Othtt7avTTquyLc7KUcRaUvVq2wrQAeXrY/VPx1AA1RGPDipBHSqXmwLSpY1ivoNRL3lPMKkv1L1e7LI08SlVL5SddJerOIiCyWgq1arU8J6scIvIbbX72zZnstyWVEzu8qsEsqLQCvSlIDeCWKfS6JQvqnr5aXtyomz1yihXBpTYns6Ajolqku/aQjrawlRXbrYJFbypRZKVJc22wnMdqeRrqpXGA0UPqj6AsXxvQXEvbSW6l5K3TOpOhlXOgK66r5L1RP3YtncbuI2VtmMvvmvQlsbcmtBd3oNUb9BMfg3oAXJCGW/DTR729HQ5mMn6B/NvbCTStVJh3mwJyxVF7elb6YNiUxuiG1knxsQ9S1A3eSBJrCPnOYKW6o+tW7V8t04q0icAShKeXk5CgupL5XSGIBsSiIQ9EOF17To+lB/113AffeZ6PXonVsOAAAgAElEQVTqJbYinOU1mv7715W/mpCkVqJbr2lST9xxd5n33MQKHGkTpheDfvJ3zjnAG2+YKN1yCzB+fE1I89+rQ8BP/pgJ9xHQnT/d5y/WjBg5ciQeeOCBWNWcOXNwwgknkAnz4IPiuA+xtbss77//Pk499VRXEkt3rEM5Vj7+GDjlFJO/PPG8uFG8f2nUyBVOdXISSv50AtjjvmTCX+o8eebkhuj9vfk+4x8DO2DIceZLxLAcbeQxlIG4z4S/QALlRkkEbPwtFaviUs/EkruhnHlmJBEMev7CAnpE0oYFdIIoFtDjoLCAbiYHC+gGFiygx6FgAd1y72QB3QCDBfQ4FCygR2QS6DDMoB8qHIaZsZmuD/Xvvpv8HFtffCQo36vWq5cxVKG8UFf+VGBbxe8BkwbAycrzhK8wvhz0k7/iYkAc3WeUF14ALr44lGkdmaD85C8yoEQoUN35033+Yk21Pn36iI/kZgnttBE2bNgQ28adKrNnz46dky6L3MJdbuXuRtEd61COlS1ipYk8r0ee25MoYgt/9O3rBqVa+Qglf1oh7G1nMuXPENH3A6vGAW0s6wEGDwZeETtRyxLG+bG3iPrrPVP+/I2SW1MhQPInz0H/73/NSy68EHjxxUiCGPT8hQX0iKQNC+gEUSygx0FhAd1MDhbQDSxYQI9DwQK65d7JAroBBgvocShYQI/IJNBhmEE/VDgMM2MzXR/q168HClI255DPuVU7vGaMV9gu1JU/CufS6aUYPWN07EWfLCXTSmqkI/UM9LC9JPSLP6EniS2Lk+GaPx/o3r1GCNmgGgT84o9J8AYB3fnTff5izYrWrVtjzZo14p7WHfPlzU1R1ovJQUHV5GCwUJCmTJniSnLpjnVox8rRRwNffmlyOGaMmBzUPDdwhfQIOQktfxHCMMhQs+FPiuiP/6sEy/+U3INOfxCnSIrnpLDNi4PE2au2s+HPq5jYr3MESP7kmec33mg6kV/qi2Nh0LSpc8chsQx6/sICekgSoaYwWEAnEGIBPQ4KC+hmcrCAbmDBAnocChbQLfdOFtANMFhAj0PBAnpNs69o/T3ohwqv0dL5ob5rV4izTk0EH3kEuOkmrxH117/O/FmRlCvPez/fmwQ3VSRPGKmE9jC9LPSLv5kzkxflyWP65OI93XZk8Hf0yYWPe7F69epYs1LAy5NbCHOJDAK686f7/CWRaDt27ECDBvEjowYOHIi33nqr2hxs3Lgxtm7dihPFCjK5It1JkVhWV1asWGGcwV5WVqbdsUpyrMgPFGRpJc57Dcu9rtYf/oDaf/6zQc3+X/8a+157zQmlOWUTVv5yioQsOpstf0/cdRpuGvOREcEGofW1KamD+065H7f2uDWLyPhSJwhky5+TNtjGOwRI/sTvYW1xfGKtPeaRkPuefhr7L7vMu0A88iznN8VymzJRgjgWkgV0j4h12y0L6ASiLKDHQWEB3UwOFtANLFhAj0PBArrl3skCuvkwRpyZzmegm7nCZ6C7PYvzx5/uL6B1FhCuvBJ49lkzT84/H3jpJX/yxq9WdOYvFUPq3HMphg/tPhQH/r8Dk8yb12+Okp4lylXqsy6bhV4devlFk7Idv/h7/HFA6AxGkSvPq1mkGTguUQnAL/6igkfU4tSdP93nL4l8kx+xtGnTJvbPCy64AJMnT642Fdu2bYvKykp069YNCxYscJS2tWrVcmQnjebNm4f27akHRMcuQme4b98+cQyOOAdHlGbNmqF27dqhiLH+q6+i+Q03GLHsE1utVH77LZAGX6HoiMdBhJU/j7utjfts+Vt6+yU4adL7Bh7zOjXB7Tcfi38O+qc2GIW5I9nyF+a+5UJsKv6aX3op6r/3ngHBrpNOwrp//StykFRUVOCYY46Jxc0CeuTo8y/gpIeKPkCh+BIrqZgfk5jVliN2kmypD87po5eAfKKPjRX9bkTUN1PYpmxVaVi1JOwPUPhoS9QX0bar29uDrgDteAXsDxHloB0vU9Sn44PyXbGTfpDZWNbO3sEyBT6UsL5SYauqj3+8m1zE1opkEatDbGWHwpbKV6pOXk7lZmr+J5pR5SYlrKvEdgJiUHWyzWKif1SdMGtcHF/1YS1FjcpJgIpBk0rVF2Mp6SMdAZ3y23opRahoimruRwXPlO0yhW2For6SqKfqhNnatXbbTYr7ICWsb1eEsFtRT1WLhVJkia81SC5NFLYtiftu03TupdR9VLYVf1+TXFTvTFT12fpQ+F3dxj5414LuyBqifi1akWhSK82l4WbY0afqpC0lrO8ifxyBXbAfWrwHzld51QGdsHmK+nqixdTSUERMFaqeEsrltY2JT09Uq9Wd2K5cvge/KooP/iAmu4qhpl217i+gdRYQpHguRfREKRLTzmWq38uIZq7O/FGUpIroUkBftG4Rnv3S8qUEcaF1NfqovqNQ2q80FIz7xV/qxyTy7HN5BjqX7BDwi7/souSrVQjozp/u85cEr3IO3KFDfBXI0KFDMXHixGqTXtrKazp16oTFixc7GiAsoIdTQM8Tk7rWJ5yQxOHqTz/F3o4dHfGaK0Ys4EWb6Wz5Wzbglzh+vvly+sU+bfGnczvgku6XYFDXQdEGJwLRZ8tfBLqodYgq/vLffhstrC8aBAqrP/sMe+ULhwgVFtAjRFaQobKATqDPAnoclDJFZrKAbgLDAnoMi3SEeRbQzfRhAd1yj2EBPQYGC+hmTrCAHuTsMLlt3V9A6ywgyO3b5Tbu1iJ3YT0webFyeJItg0h05k8FB7USvTrorFu2y63gw7DyPBGvX/wddxzw+ecmSuPHA7fckkHC8SVJCPjFH8PuDQK686f7/CWRFX6sQOct3MO5hTv270dtMamrJXYUSJR94gOK/b/7nTc3jYh65S2kI0pcVdjZ8Df+0/G48Kzh6BDfQCJWLv9NHiYdFd9F4r6T7+Nt3D1Oj2z48zg0du8AASV/O3fGt3Ffv978/Sktxf4773TgNTwmvIV7eLgIdSQsoBP0sIAeB6VMkbosoJvAsIAew4IFdDMleAV6FRa8At1ICl6Bbo4PJ6J4wtqJLa9A92eKqfsLaJ0FBLHjKFqKTTc2WHb5Ebt94rzz/MkdP1rRmb/q8EtHRA/TmeepffKDP3k8XxOxQYw4JtgoH34I9O/vR4bq3YYf/OmNYLC9050/3ecviezx4wz0mjJVd6xDPVbOPht4802TohtvBB57rCbKcurvoeYvp5jIrLOZ8ifnyg+9WYK1DyW3+9BTQzB81SSjMszz5MwQC9dVmfIXrl7kbjTV8nfddcBTT5ngdO4M/PBDpI4RCXr+wmegR2RssYBOEMUCehyUMkUSs4BuAsMCegwLFtDNlGABvQoLFtCNpGAB3RwfTkTxhLUTWxbQ/ZlsBv1Q4XUvdX+oP+004IMPTBRvvx14KOVFktcYe+lfd/6s2FlXj6cjoEsfYX056Ad/330HHHFEchaKI4PRij6lxct01c63H/xpB1qIOqQ7f7rPX6yp1Lp1a6xZswbdu3fH/PnzlVm2XqwUKyiIn3s4ePBgTJkyxZWM1B3rUI+V++8HrCv+5JYrYhtdLiYCoeaPiaoRgUz4S8yT+y8BPvy72cQOcZRnnS3bMH7uYyiZVmL8Iazz5BrBiYBBJvxFoFs5E2K1/M2ZA4izz5OKOEbEVhditIKev7CAHuLksIbGAjpBFAvocVDKFEnMAroJDAvoMSxYQDdTggX0KixYQDeSggV0c3w4EcUT1k5sWUD3Z7IZ9EOF173U/aH+rrvE9oT3mSj26QPMmOE1qv75152/BJKl00sxesbomBAui/WlH4U2ZRfGl4N+8Pfii4B1N9v2Yo7y88/+5ajOLfnBn874Bd033fnTff5izZ8+4sd91qxZaNSokdh1ZgPq1BEqEVFmz56NHj16xP5y9913Y/To0a6koe5Yh3qsTJsG/OpXJo916wKbNgH167vCrQ5OQs2fDgB73Id0+bN+ZHrbf4Bxlg+JvzuoIbqWbY1FnPoxahjnyR5D64v7dPnzJShuxDEC1fInjhHBoYcCixaZ/q65JnlVuuOWgjEMev7CAnowvKfdKgvoBGQsoMdBKVOkEwvoJjAsoMewYAHdTAkW0KuwYAHdSAoW0M3x4UQUT1g7sWUBPe1pX0YXBP1QkVHQaVyk+0P9W28BZ51lAtKwIbBRnAOoeLeeBnLhMNWdP4myXHne+/neJODDew7H2P+MTfpb8/rNsX74etuLQWkUtpeDfvBXIhYYjbVANGAA8M474cjfqEfhB39RxyjM8evOn+7zF2tujRgxAmPGjIlVzRErwk444QQy9R588EHccccdsb+99957OE1uU+NC0R3rUI8VKZY3Fy+mpJCRKOJDCZx4ogvM6uEi1PzpAbGnvXDCX2KXplRR/J23mmPA5+ZZVrNOOwy931toxHvtW9diwrwJxr/DNk/2FFifnDvhz6dQuJkMEKiRP/mlvvxiP1Hk79HKlUB+fgat+X9J0PMXFtD95zyjFpMSZSBQKF6qJRXLWXFG/d6Mmkq+KI/wofpAshFhS9VJs2aK2OK7VCUXSiiXFm0IW4UYtJ+or6jaEivVSwXsxlSdvK4cRWRHqPp0fKj8Vmw8wNbejjIKNGFGCehUnfQo7plkoerXKGwt53YaFlsUtlS+inMPHRf6Q23x9a7CQ2OinhLVpRm1TWQ7hV+qvlhhS9Q3K6aBL8ovJ51QAngxlpK2HYkvK9IR0FV+CxYR5NEhgAxtmQIfVX0FYV+p8EHUbxLiA1XW7rTXble4perTSVfplkrZBor2mhL1BYp7aUPqXqq4JUCcr2sr1H1UGqVTn44Ir/JL+NjUVnyVT5Q1efaObEAL0nYD6IFO1acjoG9H6o9wvPk9sP9o7kL2E9I80D/o+bAncj3sIrFoiG22+iagPiUBGhC2zUHd5MV5tYSPVNsVy/fipKJ1sfbLy8tRWFioyH6uzgaBoB8qsondybU1PhQ6cRJiG7lVdZuUe6Tc3VXs8qpF0Z2/BEnUlu3yJd/CNQvxwlcv2Lg8o9MZmLpkKsnxrMtmoVeHXqHg3w/+pGA+1QKFFNSrdKZQYBDlIPzgL8r4hD123fnTff5iza/PxJbdCdH86quvxoQJpiCUsNu3bx+6deuGhQsXCr21OSorK1FXrlZ2oeiOdejHijynRJ5Xkih/+hPwxz+6wKweLkLPnx4we9aLmvhL7NJ0zTHX2MTw3/72bnRaZb7HmDn8QvR5UGxNJIqxzXvH/pi2VOzkUFXCNE/2DFQfHdfEn4+hcFMZIFAjf2VlQMeOyZ5feQUYNCiD1vy/JOj5Cwvo/nOeUYssoBOwsYAeA4UFdEtusIBugMECehwKFtAt44MFdAMMFtDjULCAntGULLQXBf1Q4TUwNT4Ueh2AD/47dQJ+/NFs6C9/Aa66yoeGfWgiF/hLwJgqolcnkluht27nPqrvKJT2K/WBGWdN+MGf3LJ9xQozHrml+4UXOouPrapHwA/+mAPvENCdP93nL6mZkdjGXW7fPnPmTHEEafK5pOPGjcOwYcNil40aJX4LSt37LdAd69CPlSuuAJ57zkwJ+SMnf+y4xBAIPX/MU7UIVMdf6i5N/avEcDn3vf6IS9GwoB1qW7x/+/ozOOLsK2y7NCXE97DNk3VIDR5/0WbREX8nnwxMn2529Oyzgddfj0THg56/sIAeiTQRi4mXL0dRUXy1czmvQI+zxgJ6DAYW0C2DmAV0AwwW0ONQsIBuGR8soBtgsIAeh4IF9IhMAh2GGfRDhcMwMzZz9FCYsfdwXCjPf7a+R738cuDZZ8MRW7ZR5AJ/VoyolejWvxc1LUL5JnPHISmyvzvk3ZhJYnvLbDF383qv+aN2YJCL9A4/3M1e5K4vr/nLXWT96bnu/Ok+f0nNki+//BI9e/bE9u3b0bhxY8ht3U8WL7XlvydPnoy//vWvsUsOOeQQfP7552jSpIlriaY71qEfK5JbsfOAUeRqQOuXk64xHU1HoecvmrD6FnVN/KXOjaUY/tSvn8LXr/0VR/7GHBd7awE716/G4wueRck0sR1RVUls2x7GebJvIHvYUE38edg0u3YBAUf8Pf88IF8wJIo8K65CbPvaurULEXjrIuj5Cwvo3vLrmncW0AkoWUCPgcICuiU3WEA3n8V4C/cYFiygW8YHC+gGGCygx6FgAd21aVooHAX9UOE1CI4eCr0OwmP/jz6avJOn3Onzm288btQn97nAn4TS+lJvwKQByu3ZKdjDfJ6j1/x9+CFw6qkmKg3EOTebxSkjedRxYj7lrE7NeM2fTliFsS+686f7/IXKqTfffBNDhgzBJnkuNlGkeP7222+jc+fOrqak7liHfqx89RVw1FHJnK5aZT/Dx1XWo+Ms9PxFB8pAInXCX6qILue+J77xBfqOm2LEvKRdPl55eTQpngfSsRxp1Al/OQJFJLvpiD8552gnzqIVH+wZ5bHHgBtvDH2fg56/sIAe+hSJB8gCOkEUC+gxUFhAt+QGC+gGGLwCPQ4FC+iW8cECugEGC+hxKFhAj8gk0GGYQT9UOAwzYzNHD4UZew/HhXPmQGzlasZSS6zA2LABaNo0HPFlE0Uu8Jc429G6FXtNmKVu7x5WEd1r/saPB267zUTruOMAcVQwF5cQ8Jo/l8JkNwoEdOdP9/mLKrF/+uknPCq+nJNCucSgXr16McF88ODBuOGGG9CwYUPXx4TuWId+rOzZA3GwPbB1q8ntG28AZ53lOtdRdBh6/qIIqo8xO+UvVUT/94etcO4na4xI3zmuBQYOXG/8O6xzYx+h9aUpp/z5Egw3kjYCjvm76CLgn/80/R97LDB3btrt+X1B0PMXFtD9ZjzD9lhAJ4BjAT0GCgvoltxgAd0AgwX0OBQsoFvGBwvoBhgsoMehYAE9w0lZSC8L+qHCa1gcPxR6HYiH/nfsiIvlu3ebjUybBpxyioeN+uRad/5Sz3a0wtq7Q2/MWjbLhrRKaA/ji0Kv+bv4YuDvfzchuvJK4OmnfUrOHGjGa/5yAMJAu6g7f7rPXwJNnpTGdcc6EmOlXz9gxgyTmZEjgfvuC1OaBBZLJPgLDJ3wN5wOf1YRfe5fgGNXmP27TexINL5n/N9hnBOHn4nMIkyHv8xa4Ku8RMAxf++9B5xxRnIocss7ufVdiEvQ8xcW0EOcHNbQkhJFfCxS2DglcMsHjMZf9io6J17OZVXEEQlkySdqGylsU+NPmBUQ9s0UPigBnaqTl7e3+9hB1EmrikZiO4uUUkE5EDYrFPXliJ9Xby1Unfw7Va9qj7RdRXdkXxkB/nIFlqr6lYS9+WFg8h+perFqiixUDqryUnyk67iocpMS1lU5KD4ItpVWigjsqSIGp8KWqi+mbQs6/0z+oSjPPCszYVCMpaStVwK6OLHT1l7BIgV5VGh0uMAyBW5UfaXCVhzdYivraNttGwlT6j4qzCyb2xgXUXXyjxbNI6mBukQYqnQVu5baimr9QQFxf6yrWqlICejUPVe2TtnK+izvu+T10m9botOK+/kOon5DI/qHghLKZUvpCeh29LeBYgnYBfsP4S7UUyRs9tX1RIuppR52ko7zCduG2EbaNobYNzelqMR2qr65QNhafl6+H0cWxeMqLy9HYaHqRpk9JrnsIeiHCq+xd/xQ6HUgHvs//vjkj8Dvvx/ifFSPG/XBfS7wR517Ll/8dWnZBYOmDEpCuaBBAYb1GJa0PaXVYNZls9CrQy8fmHHWhNf8de8OfP21Gcvjj0OswHQWG1vVjIDX/NUcAVtkg4Du/Ok+f8mGe7ev1R3rSIyV4cOBhx4yqf3Vr4APPnCb6kj6iwR/kUTWn6DT5U/Om+98vwRbHgDyLfpFf/FR5UcHs3juD2tmK+ny53d83F71CDjmb68YbEVCs1ph+Wrl1luBhx8ONcRBz19YQA91epjBsYBOEJWlkMMCugVTFtBNMFhAj2GhEuZZQI+nCgvolvtHGh8usYDu7qSDBXR38Yy6t6AfKrzGz/FDodeBeOxfHkH2xBNmI2efDbz+useN+uA+V/ijznb8cOmH+PBHcch3NcW6Gn1U31Eo7VfqAyvOm/CSv13iW7DG4sNW684LM2cCvXs7j48tXXqpxkCGEgEvx18YOqz7/CUMGCdi0B3rSIyVf/8bOO88My3k1kPrxXbVtWuHKVUCiSUS/AWCTDQazYS/sU9dhOHXWbaTFl0tGAYMP+tBDO8lPjbh4hsCmfDnW3DcUI0IpMVf6odcbcRLXXGUDOpSS79qbNoXg6DnLyyg+0Jz9o2wgE5gyAJ6DJQKXoFuJgevQDew4BXoVVDwCnRzfPAKdAMLXoEeh4JXoGc/PwuTh6AfKrzGIq2HQq+D8dD/pEnA0KFmA23FDh3yA3F5HnqUS67wJzmiVqJXx511e0q5FXyYVp4n4vaSv6++Ao46KhmhDWIjk2aqXciiPBACit1L/gLqUk41qzt/us9fwpSsumMdibFSIbbNO/DA5LT49luga9cwpUogsUSCv0CQiUajmfA3654r0XvUs0YHfxJzv6NHFGDtsLXR6LRGUWbCn0bdj3xX0uLv+++Bww9P7vNrrwHnnBNaHIKev7CAHtrUSA6MBXSCKBbQY6CwgG7JDRbQDTBYQK+CggV0c4CwgG5gwQJ6HAoW0CMyCXQYZtAPFQ7DzNgsrYfCjFsJ/sJFi4BDDkmOo6wMOOig4GPLJoJc4S+BUToiehTOd/SSv4kTgUsuMbOruBhYqjryJ5skzOFrveQvh2H1reu686f7/MW3RHHQkO5YR2asyO1z5Wq/RHnuOeCyyxwwqLdJZPjTm4aMe5cJf1NObY/zPzS3kn7tUOA3/8fbt2dMQhYXZsJfFs3xpS4jkDZ/PXoAs2ebUUjxXIroIS1Bz19YQA9pYqSGxQI6QRQL6DFQWEC35AYL6AYYLKBXQcECujlAWEA3sGABPQ4FC+gRmQQ6DDPohwqHYWZslvZDYcYtBXvh/v1Aq1bAOsvv10svAeefH2xc2baeC/xZV4+nI6BLbMMuonvJ3y23AH/6U2Te32Q7FAK53kv+AulQjjWqO3+6z1/ClK66Yx2ZsTJ4MPDKK2ZqXHUV8Je/hClVAoklMvwFgk74G02XPzlXPnFICfr+ZPZtVD/gHvF/UZgbh5+R9CJMl7/0vLO11wikzd8zzwC//70ZVl4e8PPPgNz+LoQl6PkLC+ghTAoqpKREuQEoFMfkJJWtxFU7FJ3bSdTvUdjuJerFmCILJV7mK2zrK+qprfpS+5q4NB0xiBr/7ekYNrW3n/lQkUcbV4CuL4f4ojSlpGNLXS/dVeAAm99ydCA7svonuy3KFOdZpHMG+koFd1S92H6RLFS9Kl+pelW+qsYzlW+qHBRnMNoKdS66NBIvuG2lnSKIQqK+WGFbLN6eE6V1p3JbbRGWkbbUWeWUqC4vLkaZzQdVF7e1Lwmi2pK2BYsI8lQrilT1VPfErmdkoeorFbbEjlC7N9G2m7bY6zdR90ZhpkrN3YowqGpqlDZQXN+UuMc2aUQb16Lur9R9NEaeokHKXnUGOuVDNRdL54Mowna/oh/rC+iBvhlNbB3cQtRJI8p2m5CeqbIL9WzVO0H/EO6F6sfUebLkwZ6I+aB+5CEiE4fMphSVgN4A22y2TQQSVGkC+wBpsjW5brmYh3cRX5PLUl5ejsJC6obovN9sSSMQ9EOF17yk/VDodUAe+h8wAJg61WxACozjx3vYoA+udeevdHopRs8YHRPCZSmZVlItqpRdmEV0L/nr3x/46CMTrrvvBkaP9iEpc6gJL/nLIRgD66ru/Ok+fwkscYiGdcc6MmPl4YeB2283GereHZg/P0ypEkgskeEvEHTC32g6/Enx/I4PSrB+rDiyx/L64pE7TsbN+R8bnQ3z3Dj8jKQXYTr8peeZrf1AIG3+NokX4O2EgLF9uxme/G269VY/wk27jaDnLyygp01ZMBewgE7gzgJ6DBQW0B2MSRbQYyCxgG7JFRbQ42CwgG4kBQvo5vhgAd3B70oITYJ+qPAakrQfCr0OyEP/paXJAmLPnsAnn3jYoA+udeZPrjzv/XxvEsX/6/Z/ePGbF5P+VtAgfrYjtUo9rC8KveJP7rjQujWw1jIve/VV4LzzfEjKHGrCK/5yCMJAu6o7f7rPXwJNnpTGdcc6MmNFTup6W+YNtWsDUsxopPgSPkxJ5GEskeHPQwyi7Nopf4n578Fit60ljyX3eOW3n+GFdR8lfYga1rlxlLmiYnfKn2791qU/GfEnz9CSZ2klSteuwDffALVqhQ6WoOcvLKCHLiXogFhAJ3BhAT0GCgvoDgYxC+gxkFhAt+QKC+hxMFhAN5KCBXRzfLCA7uB3JYQmQT9UeA1JRg+FXgflkf933wXOPNN0Xl/MY+R71bqKjYQ8CsNVt7rzpxLD31/yPj4qsyyvrkL1jE5nYOoSyzYDFrRnXTYLvTr0chX/bJ15xZ/cKTB1U5IlS4CDD842Yr7eioBX/DHK/iCgO3+6z1/8yRJnreiOdWTGyjax21dTsdXmXstuYtOnA337OiNSU6vI8Kcp/tl2ywl/1vnyoG/FSQYvm62ubVgLBZv3oJb4oCR1Xs0ierbs1Hy9E/5q9sIWQSGQEX8zZgD9+iWHPGcOcMIJQXVD2W7Q8xcW0EOXEnRALKATuLCAHgOFBXQHg5gF9BhILKBbcoUF9DgYLKAbScECujk+WEB38LsSQpOgHyq8hiSjh0Kvg/LIv1yNK89Bt5Z584Cjj/aoQR/c5gJ/qS/7qhPJrZBbt3Mf1XcUSvuV+sBIek14xd877wADB5qxNBEnrGwQRz3JxXhc3EPAK/7ci5A9VYeA7vzpPn8JU3brjnWkxoqc1H35pZkeY8Ve1sOGhSldfI8lUvz5jk74G1TxJ3dqkh+Gps6TJ87rgKFvmmc2fnFEAY7+xnxRd+1b12LCvAlGx1lE9zYHeBuG558AACAASURBVPx5i6/X3jPiT24F1rkz8OOPZnhXXw1MMMed13E79R/0/IUFdKdMBWzHAjpBAAvoMVBYQHcwOFlAj4HEArolV1hAj4PBArqRFCygm+ODBXQHvyshNAn6ocJrSDJ6KPQ6KA/9d+kCLF5sNvDkk8B113nYoMeuc4U/aiW6Fdpubbrhm0qxNV5VkSL7u0PElgOiJF4wekxFRu694m/MGGDECDMkHY4ryAhgjy/yij+Pw2b3VQjozp/u85cwJbLuWEdqrMhJ3VNPmekhzy6RZ5jkcIkUfznMk6rrFH+l00sxesZoXHPMNTYx/OQbxuP4r1Yb7qYPPh79pvw39u/EfLp/x/6YtnSaYRPGXZp0SQUef9FmMmP+7rsPuOsus/Nyd5QVK4CGDUMFSNDzFxbQQ5UO6mBYQCewYQE9BgoL6A4GMQvoMZBYQLfkCgvocTBYQDeSggV0c3ywgO7gdyWEJkE/VHgNScYPhV4H5pH/IUOAf/zDdH7xxcALL3jUmA9uc4m/AZMGKLdnp6COwooar/i78ELgpZdMVKSeID8W4eIuAl7x526U7E2FgO786T5/CVNm6451pMaKnNRdeqmZHu3bA/JckxwukeIvh3ly+ls1++fZ6P18b8M8IYYn5r0rm+Wh3aZ9xt8/HXsDegx73LZSPSG+h3WXJl1SgcdftJnMmL/ycuCggwC5Gj1RJk0CLrooVIAEPX9hAT1U6aAOJilRSsVZcc1TbLcS11J10oyq36Fo23IkT0ZQ5SmuogRNaZpP2DdT+KDqCxS2lEgk5qdkaWOvXdmGDmIVCGNxeTmKbE5WgG5wWRq2lN8Khd/ynfYYNpa1o/u8XIFFGVG/UmFL1a9R2IqtGW2FqpNGVG6q8nWPor06RD1VJ80aE7ZUnTRLHYeyLmXLVcMbBX2hIt5iVb3lB63KpHUn8WNHlCKYWyEl/lwkMpMqlLBeDIp8gKovxlJFDPb2CpYqyKNdiK1kCNd0N4AKwnaVAstKon6dwnajvX6b4v66WVG/m3BN1SkigOrbvzrEPbapIl/rNiK8i48LyaK676bz4RJlS98yaSFfZUvd59P8EGAH0b/NjWjgNhM3he0KRnYSP2K7UI+EeA/s5O2F6sZE05QH+02vDugf7nrYZXPSEOL8PaJQAnpDbCdtm2zdYquvnzJmlouxWXRc3KxcTNALUw+8VSU+16eFQNAPFWkFm4Fxxg+FGbQVhksefxz4wx/MSA49FPj++zBEllkMuvOn2p5ShVbq9u5hF9G94q9rV2DhQhOlv/wFuOqqzHKMr1Ij4BV/jLk/COjOn+7zF3+yxFkrumMdqbEiJ3WHH55MnBQycvg5KVL8ORtyOWVF8Ze6M5MUw5/69VOo/HEB2nQ6MgmfpZ++gyl7v0bJtBKjPjE/DvMuTbqQzOMv2kxmxd/ppwPvv28CcMopwDRz54cwIBP0/IUF9DBkgYMYWEAnQGIBPQYKC+iW3GAB3QCDBfQqKFhAN3KCBXTzXsECehwLFtAdTMAiZBL0Q4XXUGX1UOh1cB74nzsXOP74ZMfrxIdeLVp40JgPLnXmL7E9Zaoo/os2v8CCygU2dBMvA1NXqodZRPeCv+3iu6zG4tu1febiI8yeDZx4og8JmWNNeMFfjkEYaHd150/3+UugyZPSuO5YR2qsyB+/luIr8A2WlSSvvAIMGhSmlPE1lkjx5ysy0WhMxV+qiC7nu6f8bxeOu/Juo2Nb6wJPfHA/SqaPNOrCPC+OBiPpRcnjLz28wmadFX9yOzC5LZi1LBWr3IqLQ9PNoOcvLKCHJhWqD4QFdAIfFtBjoLCAbskNFtANMFhAr4KCBXQjJ1hAN+8VLKDHsWABPSKTQIdhBv1Q4TDMjM2yeijMuNXgLtwlNo2QR5Dt3GnG8N57wGmnBRdTNi3ryp9cEWPdnjKBkXzpt37Heoz9z9gk2AoaFGDtsLW27SkTRmE929EL/ubNA4491oSnVi1g06a4qM7FXQS84M/dCNlbdQjozp/u85cwZbfuWEdurKSu+rvtNmDcuDCljK+xRI4/X9EJf2PV8Zcqoj/3bRdc9vIio1Pziuvh2EvNHfNYPPefbx5//mPuZotZ8bdD7BR7wAHJH3SNGgWUlroZYla+gp6/sICeFX3+XcwCOoE1C+gxUFhAt+QGC+gGGCygV0HBArqREyygm/cKFtDjWLCA7t88zo+Wgn6o8LqPWT0Ueh2cR/5POgmYM8d0fs89wF13edSYx2515i/1paBcif7ukHdx+BOH4/u19n33U1eqJ/4d5rMdveDvueeAK64wE69zZ2CR+S7V44zMLfde8JdbCAbbW935033+Emz2JLeuO9aRGyt3ixW4995rktS3LzB9ephSxtdYIsefr+iEv7Ga+LPOl1+aApz/ndmnJ8VxbzcMjP+bxfNguK6Jv2Ci4ladIpA1fzfcADz5pNlckTgWWK5Cz1Odzew0Mnfsgp6/sICeAY/Lli3DY489hrfffhvyv/Pz89FZPPGff/75uO6669Cwoeq02gwaq7qEBXQCOxbQY6CwgG7JDRbQDTBYQK+CggV0IydYQDfvFSygx7FgAT3zeVkYrwz6ocJrTLJ+KPQ6QA/8//GPwKOPmo4HihdLb73lQUM+uNSdP0pEn7pkao3IRuVsRy/4S81vuWut3L2Wi/sIeMGf+1GyRxUCuvOn+/wlTJmtO9aRGytyUnfWWWaKNGoEbNwYGsHC79yNHH9+AxTy9pzwl5gv//AY0EUcTZUoV4ph8OwxLJ4HSbET/oKMj9uuHoGs+fviC+AYMQit5Z13gAEDQgF90PMXFtDTTAMpml900UViTiMmNUQ59NBD8Y5IsIMPPjhNz9WbJyXKU0ChOConqVDh0CECW4m2qDpptpewFTs7ZF3qKDzkE/ViDkkWqp4S1eXFqXjJujYKv0T9jva07apGrck/rID9ApXQTdWXQ3zpQ5R0bCkfFRvFlhwUpWUFdAeXE9VUnTSj6lcqMF5D1FuOfkr66xbClqqTZioBnapX5WB9oj2qTpo1J2ypOmnWirBtp8CnUFFfTNQX7yeNW3cqt9VToro0KoLdtiPKSL/FRD11vbw4HdvWSxWkLiPCEB/BkaWCqKXqpBlVb5nAJ3laS/hV3F/3K+6l2y1b8Ca8bXfhXlqXyOMGinytm879VXUvperFFsNkoe67VJ28mLoFeWUr2yP6sV/R583NxIFcKWVbHv2h3E7Us9nuAgW8/Hm1f8lJ1SnQVVbnkT/cEJHZkzAf5jZpVocNsM3mv+FWOmHrU2NBbMFrLcvFb0HRyfGa8vJyFBaqbnLp9pbtk3BevhxF8kthTXHO+qEwgunyz39CPHeYgbcRc9SVYjzJra6jVnKBv1QRPZWjnkU98Z/y/xjViZXqUeDSC/5OFr8L1oV2o0cDcjEeF/cR8II/96NkjyoEdOcv6JeiuZR5umMdubGySnzt3y7lpdCCBUC3brmUlkZfI8dfTrKk7rRT/sa8cwfuGPhgkqNjrhIr0oc+iOG9hjOqASHglL+AwuNma0DAFf6kgC6F9EQ591zg3/8OBfZBz19YQE8jDb766iv06NED27ZtE2ezNcYdd9yBk8WT//bt2zF58mQ8/fTTMW+HHXYY5s6dG7Nxq7CATiDJAnoMFJXYzgK6JWdYQI+BwQK6JSdYQI+DofpAiQV0I1lYQI9DwQK6WzM67/wE/VDhXc/inl15KPQ6SJf9L14sVmd0SXb6009Ahw4uN+SDO135k2eg9+rQy0BwwKQBoFae10It7Bf/Sy1R2abSbf72CyhaiY9L11k+XnztNeCcc3xIxhxswm3+chDCQLusO3+6z18CTZ6UxnXHOpJjpbgYkJO7RHn2WeDyy8OUNr7FEkn+fEMn/A055e+rl59A9/NvNDq0uzZw0D0tUDFStaIl/H3XIUKn/OnQVx374Ap/EyYA115rwiO3bxcLYGLnowdcgp6/sICeRgJIsXy6+Ey+Tp06mDlzJk6SBxNayrhx4zBs2LBYzWjxCf3dLn5CzwI6QRQL6DFQWEC35AavQDfA4BXoVVDwCnQjJ3gFuuVewSvQY2DwCvQ0JoERMA36ocJriFx5KPQ6SJf9S5GxpdiNY/160/HLLwO//a3LDfngTkf+SqeXYvSM0cZZjTWtQE/AfEjBIfhh3Q8G6lEQ0d3mT2yYIXbMSE68H38EOnb0IRlzsAm3+ctBCAPtsu786T5/CTR5UhrXHetIjhVxFCjk5C5Rrr4akCJGDpZI8peDPKm67JS/v17SDVdN/NZw81Vb4Cih2UVhPqwz3U750xmDKPfNFf42ia0kpVguFg4b5f77gREjAocm6PkLC+gOU0CuKD/++ONj1leLCc0EYkKzb98+sdNONyxcuBAtWrTAKrEdT9269q1fHTaZZMYCOoEaC+gxUFhAt+QGC+gGGCygV0HBArqREyygW+4VLKDHwGABPZMZWXivCfqhwmtkXHko9DpID/yfdhrwwQemY/mt7tixHjTksUvd+JMrz3s/39tATW7Hbl15XtxMHGSzscyGaqpdwiDsLw3d5k8eqTdwoAlPkybxY1+jeDyBx0PHFfdu8+dKUOzEMQK686f7/MUx0T4Y6o51JMeKWIglVmKZ7B99NDBvng/ZEL4mIslf+GAMLCIn/MmPTVvfWILL55thvtAduPQ38X+HfT4cGLg+NOyEPx/C4CYyRMA1/q68EpA7oSSK/LpZbotXW2wVEWAJev7CArpD8keOHIkHHnggZj1nzhyccMIJ5JUPPvhgbGt3Wd5//32ceuqpDluo3owFdAIfFtBjoLCAbskNFtANMFhAr4KCBXQjJ1hAt9wrWECPgcECuitTtNA4CfqhwmsgXHso9DpQl/3feScgP/xOFHlu9EcfudyID+505E+14ly+/Ju2dBo++NHy5YPAuGGdhti2x/yiP1VMn3XZrKTt4H2gxXETbvM3ZkzyYoaePYFPPnEcDhumiYDb/KXZPJtniYDu/Ok+f8mSflcv1x3rSI6VGTOAfv1MnsWOp5CrABs0cJX7KDiLJH9RANanGGviLzFv/kJssPDLlWZQTw/piqs6f2dUsIjuE2EpzdTEXzBRcatOEXCNv//+FzjxxORmhb4pBE6noXhiF/T8hQV0h7T26dMHs2bNQqNGjbBhw4bYNu5UmT17duycdFnkFu5yK3c3CgvoBIosoMdAYQHdkhssoBtgsIBeBQUL6EZOsIBuuVewgB4DgwV0N2Zo4fER9EOF10i49lDodaAu+3/9deDcc02ncqWueBQJ+iPwtHupK3+pIroUxd8d8i6ajmmKzbs2K3FKvBxMXD+q7yiU9itNG1e/LnCbvwsvBF56yYz+uuuAJ5/0qze5147b/OUegsH2WHf+dJ+/BJs9ya3rjnUkx8qWLUAz8XAqdjQ1yqefQpwZGqbU8SWWSPLnCzLRaKQ6/hLz3brine0WsTaxniXd57/4CN4r3IGSaSVGR1lE959zHn/+Y+5mi67xJ8+QO+oo4OuvzfDk+XHWo0bcDNyhr6DnLyygOySqdevWWLNmDbp374758y17jaRcv14cUlhQUBCrHTx4MKZMmeKwherNkhLlX0BhmxR7seWdraxT+NxK1FPXS7MdhO1OhV9VfToI5BHG9RUOKAGdqpOXE2IJ4jTZSyq20kKcyUKVTe3pLfpX5dkvqEB70kcFxPkSKUUliq8gfKhsqfaUtqvo2PaVEYCWKXCzfEFoWIjzDcmyhqil6qSZeElsK1SdNKLyVdZTwrpKbKe+jVHlIFXfXNFnqr6dwlZVX0jYU3XSrLP40UspBcW0mlyUV26zLcZSMrgi8clGaukIOikoW7GhqWO/0rBdBXFzokMDlhGuVQL6CsJ2lYKPSqJedX8Vz79kIe67+6l7sUzXvXYPuxX5WpfI1zrUfVS4rEXltuqema/oB3Uvperk5enYUvdjlV9xHrA9udOIN93YmhJ8KHDbVd++rdHO/HpkcLuEfJ1a9kJBnqJ7VHUeiAQShvVg/5HO37mL9Fxvh+WJtsqiriJfIRZI2ErKOFguxlbRr+NW5eXlKCxU3bjS6Cib2hAI+qHCa0pceyj0OlCX/VeI37EDD0x2+p1YpHH44S435LE7nflLFdH7d+wfW4GuKgmRPfF3uR18rw69PGYgO/du89e1K8SxZ2ZM8nQ0eewrF28QcJs/b6JkryoEdOdP9/lLmDJbd6wjO1Z+8Qvgm2/MVHnkEeCmm8KUOr7EEln+fEEn/I1Y+Vu0YxF6F8ePOrLOk7uL93Dz/5Lcl40rf0Kzth2S7KQFi+j+cs7jz1+83W7NVf7kV8033GCGKBcRLxcCT1uFOOZ2Zwh/Qc9fWEB3QPKOHTvE7jnx7XMGisPa3nrrrWqvaty4MbZu3Sp2PDgRckW6kyITobqyYsUK4wz2chbQ41CxgB6DgQV0y8hhAd0EgwX0OBYsoBs5wQK65V6RjrjPAnoMOBbQnczmgrUJ+qHC6967+lDodbAu+5ffnPz8s+n0b38DLrnE5UY8dqc7f6rt3FWwRu2loJv8bd8OiMflpMV28pE5dbdAj1Myp9y7yV9OAReSzurOn+7zl5CkUSwM3bGO7Fi54grguefMVLnoImDSpDClji+xRJY/X9AJfyMJ/v654J8omV2Ce0+5Nxa0dWX5EyuPxfUTPjc6s6xlHXRYszv2b2ouHbX5cvhZUkfI4y/K7AGu8ie3u2svFlrKh7ZEGTsWGDYsMJCCnr+wgO6A+tWrV6NNm/iy5AsuuACTJ0+u9qq24ouMyspKdOvWDQsWLHDQglgZWKuWIztpxAJ6FVQsoMeAYAHdMnRYQDfBYAE9jgUL6EZOsIBuuVewgB4Dg1egO556RcIw6IcKr0Fy9aHQ62Bd9v+b3wCvvWY6vf564IknXG7EY3c68pe6cnzApAGYumSqEsnUM8+j9FLQTf7mzQOOPdaEST4Gy+NepajOxRsE3OTPmwjZa3UI6M6f7vOXMGW37lhHdqzIbViuvdZMlS5dgB9+CFPq+BJLZPnzBZ3wNyL5m/HdDJR8WIL5m+dj9/64MJ4oct574rh/ou8b5tbQc45vjxP/+zMpnieum3XZrNDv1BR+dmqOkMdfzRiF2cJ1/i69FHjhBbPLnTsD//tfYOfIBT1/YQHdQfbL7UY7dOgQsxw6dCgmTpxY7VXSVl7TqVMnLF682EELLKAbIPEW7jEoeAt3y7DhLdxNMHgL9zgWvIW7kRO8hXsVFKojOdzYXp5XoMdA5hXojqZzgRoF/VDhdeddfyj0OmAX/Y8ZA4wYYTo8/njgv/91sQEfXOnGX+n0UoyeMdrYXrKmFegJsTxVZI+KiO4mf3KRnVxslyjyfcyiRT4kYQ434SZ/OQxjYF3XnT/d5y+BJQ7RsO5YR3asfPEFcMwxyYytXQtxPmiY0sfzWCLLn+fIRKOBBH+vfvcqbv7k5iQBPTHf/erQZuj+g3kG3PQr+uO/l55qO/9c9liuXB/VdxRK+5VGA4CIR8njL9oEus7fp58CPXsmgzJNHFF2yimBABX0/IUFdAe0+7ECnbdwryKCBfQYECygWwYmC+gmGCygx7FgAd3ICRbQq6BgAd3ICT4D3cHETlOToB8qvIbV9YdCrwN20f+HHwKnnmo6rFcP2LwZkP8/KkUn/uTK897Px891lCV1ZXntWrWxb/8+4+8N6jTAtpHblKtroiCiu8nfH/8IPPqombmDBgGvvBKVTI5mnG7yF00Eoh217vzpPn8JU/bpjnVkx8pusVK3SRNg504zXd57DzjttDClj+exRJY/z5GJRgNW/iYumojhHw03Apdz3dtPuhVbGtVFU0uaPzKiP26uJ0S5qmKdE6fu9BQNFKIbJY+/6HInI3edv/37IbbWBr77zgTmwguBF18MBKig5y8soDug3Y8z0GsKIylRxIqTwgNSrhAfJ9rKOoXXjUQ9VSfNthK2VJ00o7bP3quIYU9NPbb8vY7CNp+op7Z1l2ZUfUuFX0qIUdnGd/a3ldVt7HsQViCVtPhlKyDOlUgpFUSdNKHqXdnCXdHe6p+ImMvq0p0uI6qXKzBeSdSvUdhS9ZSoLi/fovBB5aYqB6l6VQ7WJ9qj6qRZc8K2lSJeVX07wp4S1aVZMWFL1QmzZsV2Qoryy8ngimEnukh88kGVYkLpVtl2JPxKn5R9+3X0za3Wj0QUdGj01u6q7d4rCb/UPVeaqe671H1Tla+Urepeqkghspr6QCmd+6t0Sm2vqrrvEiu34caK8Cy3X49hk46PdI4LIWz3K+4Jewg+9ir42FuntmOm8/aYoo31ojzi3lbX8vCa1ABVr/rtp/LY/Kg85nb5ajGWxVxbFrlDT6E80JmL6wgE/VDheodSHLr+UOh1wC76l8eQtWiR7HDu3ORtsF1szhNXuvGnWnGeKqYnwEytT/132LendJO/k08Gpk8302z0aODuuz1JO3ZahYCb/DGo/iOgO3+6z1/8zxh1i7pjHemx0qMHMHu2Sd599wEjR4YpfTyPJdL8eY5O+BtI5e/h2Q8nrSwfc9AVKLns2aSOHHiLeDVX9d4oCh+Uhp+FzCPk8Zc5dmG40hP+5BfP8svnRJFf7y8XQk/r1r53Oej5CwvoDilvLZJjzZo16N69O+bPn6+8av369WKXnbgCO3jwYEyZMsVhC9WbsYBO4MMCegwUFtAtucECuglGMTFmqDphxgJ6FVYsoJtJQ91f5V9ZQI9jlMbHWiyg56aAvmzZMjz22GN4++23If87Pz8fncU+xeeffz6uu+46NGzY0JX5odVJ0A8VrncoxaEnD4VeB+2i/0MPTT4O889/Tj4u08WmPHGlI3+pIvohBYfgh3U1n1maeEGYuD4K21O6xZ9czNBKfChq/RbytdeAc87xJO3YaRUCbvHHgAaDgO786T5/CSZr6FZ1xzrSY+WmmyAeHkzizj4beP31MKWP57FEmj/P0Ql/AxR/1rnyoG/FjkMvm/2oFI/DbW8X/64F40ik8PdS3wh5/EWbW0/4kw9s7cWiT+vuKA89BNwuB66/Jej5CwvoDvnu06cPZs2ahUaNGmGDWAZSpw69TGy2+GKwh/xyUJS7xaf0o+Un9S4UFtAJEFlAj4HCArolN1hAN8EoJsYMVSfMWECvwooFdDNpWEA3seAV6HEseAW649mcFM0vuugibNxIb+9zqFBC33nnHRx88MGOfToxDPqhwkmM2dh48lCYTUA+XztkCPCPf5iNXnop8PzzPgeRRXO68lfT2eep27nLlefvDnnXQDIq21O6xZ9ctFBUlJxIP4odhDp2zCK5+NIaEXCLvxobYgNPENCdP93nL54kRYZOdcc60mNFTvLkZC9R2rYV21WuEOKiUBdzpESavxzhqLpuqvhLzJXvEzu1j5xlenhfPAqffjGL52FJHR5/YWEiszg842/oUGDSJDMo+Q5r0SKgtvNdMjPrUfJVQc9fWEB3yOKIESMwZsyYmPWcOXNwwgknkFc++OCDuOOOO2J/e0+cWXOaS2fWsIBOwM0CegwUFtAtucECuglGMTFmqDphxgJ6FVYsoJtJwwK6iQUL6HEsWEB3NGP86quvYh9Sbtu2DY0bN47NCU8W+xVv374dkydPxtNPPx3zc9hhh2Gu2INb2rhVgn6ocKsfKj+ePRR6HbhL/lN3UDviCOCbb1xy7oMb3fizCt8DJg3A1CVTHaMYxS0q3eJPfDuEgQNNqOSRr/JboxzSBxzniZuGbvHnZkzsyzkCuvOn+/zFOdPeW+qOdaTHihQkDjkkOQnELla2r868T5PAWog0f4GhFp6Gq+NPiui/uKwEZy424x3bU/y30FCG9zLPSg9Pb3IvEh5/0ebcM/4+/RToKQerpcgHugEDfAUs6PkLC+gO6f7ss88M0fzqq6/GhAkTbFfu27cP3bp1w8KFC9G8eXNUVlaibl3FedEO202YsYBOAMYCegwUFtAtucECuglGMTFmqDphxgJ6FVYsoJtJwwK6iQUL6HEsWEB3NHOTYvl0cbiv3Klo5syZOOmkk5KuGzduHIYNGxark7sUyd2K3CpBP1S41Q+VH88eCr0O3CX/8ljMqk2uYh6l4CiFRylARqHoxF/p9FKMnjE6tt2kLCXTSmqkIPXM86iJ6G7xJ79HF9+lG0W+j/nkkxrhY4MsEXCLvyzD4MszREB3/nSfv2RIuyeX6Y51pMeKPONEHgcqdjw1yiuvAIMGeZILYXQaaf7CCKjPMdXEX0WTWmhveWd76QX5+NvkHT5Hyc3xs7aeOVDT+Mu41/K36Ze/BMRCEaP8+tfAm29m7DKTC4Oev7CAngZriW3cnbwUHTVqFEpLS9PwXr0pC+gEPiygx0BhAd2SGyygm2AUE2OGqhNmLKBXYcUCupk0LKCbWLCAHseCBfQa53RyRfnxxx8fs3PysWWLFi2watUqbz62LC9HYWFhjTFHycCzh8KIgCA2MUDTpsCePWbA4lsN9O0bjQ7owp9ced77+d4k6KkiecJIJbRHSUR3i78LLwReesmE77rrgCefjEYORzlKt/iLMgZRjl13/oJ+KRrl3Eg3dt2xjvxYOf104P33TVqHi5W5YoVurpTI85crRCn6WR1/Y175I+4Y/GjSlYddD1x2Ia9AD0va8PgLCxOZxeEpf3/9q3zBZQYmv+RfssTXM7iCnr+wgJ5GXn755Zdi14KesW045Zabclt367acf5UJJcohYtudzz//XKwIcW9JiDVRvi7Px4GFyefgtFhn/2qrVqWic2uJevqYTrG0hbBVvUSn6ncqYrC8/EuyUNVTbqhj6N0QfcRHn7bSUtEPylaY7mhvt1/VqDXppBLibKOUUgHCgbCpwAE223J0IP3StimHDlZduULRXvlWu/2WMrofKCPCEOcckoWqX6mwXUPUU3XSzPKxbtJVlLCu+tAx2xysr+gHVd9cYdsqjfp2CltKNylWYTuMRgAAIABJREFU2BL1jYtXk8ZFjcpt9UXiMw6qFBNJkY6t9EnZF0FsZUaU9lvtSVR/qaLPlFiuEtCp+nTurzIE6l66SREbdS9NJ1/3KvxS1XkKW+r+Kk2pPKYEZmmbjvDcjIhD5ZeyFaISWShbVWzp2Kpio/BR/S5Rtio+0qBUaUrlhSqvqN/udH77U+65y8U9u+iKeGTlGgq7CcxHjhyJBx54IPZPp8f9vC9ekp166qluMIygHypc6UQ1Tjx9KPQ6eJf8H300IB5HjCI2NMBtt7nk3GM3OvFHnXsuxfBhPYch75487Bf/S5Qm9ZpgZO+RylXqsy6bhV4denmMfvbu3eKva1eI3drMeOSmbtb3MdlHyh4oBNzij9ENBgHd+dN9/hJM1tCt6o515MfKnXcC999vkid2tsJHH4UphTyNJfL8eYpO+J2r+JPz5o8nlGDqP8w+bBWb9TYVp9/uE8coR+mD0vCzkHmEPP4yxy4MV3rK3xbxgu/AA4FNlpfYPn/gFfT8hQX0NLP8TbFFwZAhQ0TO0MqHFM/ffvttdO7cOU3P1ZuzgE7gwwJ6DBQW0C25wQK6CQYL6DEsWECv4aeIBXQTIBbQTSxYQM9oDpfYqahRo0Zi98UNsW3cqTJb7MUtz0mXRW7hLrdyd6ME/VDhRh+q8+HpQ6HXwbvkXwqNVd/rxjwOHgxMmeKSc4/d6MZfqoguX/5t3LkRYz4Re5RXU6yr0Uf1FTuW9Sv1GHl33LvBn9xFQXyDDnHqmVHk0QQnnuhOjOxFjYAb/DG+wSGgO3+6z1+Cyxx7y7pjHfmx8sYbwDnnmMTJRVnr1wN5Xn5lHZ4MjTx/4YEykEgo/hLz5eGzhFA+zQxrXnE9HHvpLqOCRfRAKEtqlMdf8BxkE4Hn/N10E/DYY2aIrcTKP7E4BvVVqwiz6U345i8soGfA508//YRHH300JpTLCWi9evVigvlg8RbrhhtuQMOGDTPwWv0lLKAT+LCAHgOFBXRLbrCAboLBAnoMCxbQa/g5YgHdBIgFdBMLFtAzmse1bt0aa9asQffu3TF//nylj/XiRViBPONQFDl3nOKSAsovRTOiLVIXPfMM8PvfmyEXFwNLVTuthKxnnj/UB9BfaiV6dWFYXw7KreCjsPI80R83+Js3Dzj2WBMhufuf/CZdiupcvEXADf68jZC9V4eA7vzpPn8JU3brjnXkx8qKFUD7lN0ov/0WkNu35ECJPH85wFE6v1UPz37Y2IFp8svABSKVE2XmmUdg9h1Dk3ZoYhE92ATi8Rcs/tm27jl/338PHH54cpgTJwJDh2YbuqPrg56/sIDuiKbgjVhAJzhgAT0GCgvoltxgAd0EgwX0GBYsoNfw+8UCugkQC+gmFiygpz3x27FjBxo0aBC7buDAgXjrrbeq9SGPAtq6datYeXki5Ip0J0XOBasrK8RLt8QZ7GVlZVqegS4/UJCllfjiOS9HVuNYOf/6a+Doo5Nv3CtW7IX4diP0RT7U68jf+E/H486PxZarDsp9J9+HW3vc6sAyfCZu8Pf887XEByBir86q0rnzfnz/vWU5evi6rU1EbvCnDRgR7Iju/Mn5TbH8IkwUnY/6CUPqBf0C2msMPBcQvO6A9N9BHNEoV/Ulyt/+BlxyiR8tB96GFvwFjmJwAVj5m7hoIoZ/NNwIZvETtdFpjTnnmzVyKHrfNxHUjk7De5nXBdeb3GuZx1+0OfeFv/79k48VkduIOXyXlS26Qc9fWEDPlkGfrmcBnQCaBfT4QyafgW4mBwvoJhYsoMewYAG9hh8pFtBNgFhAN7FgAT3t2d3q1avRpk2b2HUXXHABJk+eXK2Ptm3borKyEt26dcOCBQsctVdLLtd0WOaJpZ7tU1ewOLw2rGb7xL7PGzdujIXXrFkz1K5tCnFhjdntuPbsAbp0aYsdO8xcmDRpHfr3N7dAdLtNt/zpxN93q79D19bx1WCvfvcqXvjqBccwXdL9EgzqOsixfVgM3eDvrrua4JlnGhldOvPMHXj2WdXkPSw91yMON/jTA4lo9kJ3/ioqKnDMMcfEyGEB3dscDfoFtLe9A3wRELzuxCAxR/jXv8xWrrsOePJJr1sNhX8t+AsFksEEMatsFrrU7xKbG9/8yc3YvX93LJAxx4/AsDMfgPXJ7bt3XkDXARfH/n7tW9diwrwJRtC8Ej0Y/nj8BYO7W636wp/8bZK/UdYitxg7+mi3uqH0E/T8hQV0zyl2pwFrorxXXoy2hXWTHLfCWltDLbeuIxuvT1XbL49fS9nG313ay1aHddJsh8KHeDFoK3vTwFAlBlFHMpjvb5IboEQUlbAS34HVXuLv0JPKprbJnCX+uCqvrc22AinbNlVZVMLuuBxFZAiUj3RspVPKvmItHdvusqb2OMoU+FCL6FQL61YSPuIL0OxFVU+9m1PlIFVP5aUqLekjbwGqXrVlZXOFc3HEiK1QddKoHWFLierSrJiwpeqEWf1i+02hqJnlC2mLqyKRQamFqpM2qvoOWfoo2kvH1nRZfDKfVCoUuFP1Klv6tgviFk3fX2UIW4g4qPurNKOETlW+unEvTefDpXTuu9T9WHWPTsfWDVGcak81dvMJ7qg6aUbho7p/KFIzrWoqL1S5ko6A7iBfl4s5RtGN8Wh1fTEq+9VBrhgRZajYxmqi3M6qmiJt5TWdOnXC4sWLHVHJAjoL6DJRzj67AHPn1jNy5rbbNuPWW1U/Eo5SyxcjXQSgfy74JyZ/MxlSCJelJvGcsouiiO4Gf4MGtcCnn5o/irffvhm33BL+3PVlgHjciBv8eRwiu68GAd35YwHdv/QP+gW01z31RUDwuhNjxwIlJWYr8uyTuXO9bjUU/rXgLxRI+h9E6fRSPDDzAZT8sgRTF0/F/M3zYwK6FMMHrGqKI38rPgSpKnuEkr5n43rUb9zcWIHev2N/TFtqHpI+67JZkTrqyH/E3W+Rx5/7mPrp0Rf+5Nf8Bx0EiA8fjXLFFRBfSHve1aDnLyyge06xOw2wgO4QRxbQDaBYQLfkDAvocTBYQDeSggX0Gu6p6axMT0cgdkMUZwHd4Q9iihkL6Jnh5vAqP1ag8xbuem4B7jDFDLNbb62FRx8113AMGLAfb74Z/m2wddiC+NPyT9F/oti6jij3nnwv7vr4rqS/NKnXBJW3V4La5j1q27lny9/+/UDbtrWxbp25e8Krr+7FOeekOwLYPhMEsuUvkzb5GvcQ0J0/3sLdvVypyVPQL6Brii/bv/siIGQbZE3Xf/wxcMopplVdsRBn82YgX/XQXZPD6PxdC/6iA7drkX6y7BP0fr436taqi6OaHIUj2x6JiYsn4t5T7oXcjn3G7YPR9+FXjPYWtc9Hl5932LZvv+aYa2Ir0Uf1HYXSfqWuxceOnCHA488ZTmG18o2/e+4BRo0yYZDHGP78M9CihafQBD1/YQHdU3rdc84CukMsWUA3gGIB3ZIzLKDHwWAB3UgKFtBruKeygG4CxCvQ41ioFgnyCvQYPH6cgV7TTCjoh4qa4sv27749FGYbqMfXv/gi8LvfmY3I889XrQLS2OHf4whp97rwl3pWo+ytXF2zbvs6PPTpQ7bOn9HpDExdMpUEJUqra7LlTxxxjKKUTbN+/BHo2DGQdMy5RrPlL+cA+//sXXeAFEX2/pZ1yUvahSXsIiciioqegAFJgqcn6pnDTz1zwJxAFhUBEyioZ8Z0mNOJeqcYTlAQMKLimRV1ZREkLBIMIOlXNbMz3TP9aqe7Z7q7pvbVP0rNq1evv+9Vb1V/3VWaXbDp/Jk+f9EpnUzH2oixsmYN0EpsSSjfPEuUd94B9thDp1QKJBYj+AsEGf2dyvnx6NdHxwR0Wfps2wd3Hhw/emD2X7qj//SvkxcxZ+A2mHvtmaicYe20kNi2XYrx/Tr30/+CDYyQx19+kxoaf0uWQGy9KLaRsH2hc/PNwMUXBwpg1PMXFtADpTd3zllAd4klC+hJoFhAt+UMC+hxMFhATyYFC+gZ7qksoFsAsYAex4IF9IwTkbZCyVyxYgV22WUXzJ8/X2n/888/o02b+BkwRx11FJ5++umMvt0YRL2ocBNjNjahLQqzCTKEtt9+C2y7bWpHVVXx3dR0Libxly6i1yWS2zmRDwdlkQ8M8+3rmmz5e+kl4MADLTSKi4FVYn7ewH4gps4JnOexZctfnl9+3odvOn+mz190SkDTsTZmrPToAXzxhZU6t98OnHeeTqkUSCzG8BcIOvo7vXH2jXhmXvxLc7mFe+IL9C+2boodFv6evID7TtgBZ25r5Tefea4Htzz+9ODBbxSh8nfMMRAPsaxQ5cOJr74KdGEX9fyFBXS/mRlyOxbQXQLOAnoSKBbQbTnDAnocDBbQk0nBAnqGeyoL6BZALKDHsWABPeNEZMCAAZg9ezaaNWsmhKFV2Gor+lD7t99+G3379o35u+qqqzBu3LiMvt0YRL2ocBNjNjahLgqzCTTgtvKDpNJSiK2wrY7k+lW8i6F1MY0/6kt0OwGtG7fGz+t+TlZJkf3lE16O/Tsfv67Jlr/x44HLL7cQ2ntvgcMcrVPWqOCy5c8oMPLwYkznz/T5i04pZzrWxoyVk04CHn7YSh357wcf1CmVAonFGP4CQUd/p5K/ybMm46GPH0qegT5+wNW4+C9XodEmK/59RDrPrN2BiMVzfXjl8acPF34iCZW/WbOAQYNSw5w2DRg61E/ortpEPX9hAd0VTdEbsYDukgMW0JNAsYBuyxkW0ONgsICeTAoW0DPcU1lAtwBiAT2OBQvoGScilwt1aLxUiUR5R2y1uIdiq8UJEyZg1KhRMbtXX30V++23X0bfbgyiXlS4iTEbm1AXhdkEGkLb/fcH/vtfq6ORI8U24vGPm7UtJvJ3wKMHKLdnp4jI54eE2fL3f/8HPPmkhcrZZwN33aVtuhoXWLb8GQdInl2Q6fyZPn/RKd1Mx9qYsXLHHcD551upI79I/+wznVIpkFiM4S8QdPR3muBv6udTcfGci7Fhywbs/BPwv8mpsbcW65ZV4tjkfJ4X68+G9wh5/HnHTKcWofIn3+jv2RP49FMLgr/8JfUBRY7BiXr+wgJ6jgkNyp09UR6u3hNtyxuldFWCGkfXJVhBhlO6yWnbomYDHbrt65akgbN5/KfVhAvVA3dV/XrCx7ocoEp9BJYKodUJJZa0VMSgqi9x2m9pR/tY2sbpZClo42UoczihhHJp5E1A70AGV420wwoVfmXjn35w2qKqiL5ocQ6io1B10oiqF5MwstApD3IoUOf2SqdUvSoHbUd+ZMxSKgcbK1o1V9SLo7AchaqTRu0JW6pOmlHCugexvUEXekBXlFU7gqiAs04aean3YttRjASqUD7aL6NuYrGkdxbaLbBMwR1136Tur7I5ZevlXkrdR6VfKl+95LD0QeUx/ZEtQInwqpyn7ruqezQ1Pqj2Ml4v9SpbKg6VLXV9quvIFsuMN500A9tb38lfVPc2ylZ1z6TyLS1fF4lcr7g03mt1dTXKy1U3GK8XpZf9e++9lxTNzzrrLEyenPa0QIS7efNm7LTTTmJXxi/E8YatsGzZMhQVKf5Wery8qBcVHsP1bB7qotBzdOE2uOIK4PrrrT4HDwZmzAg3Bq+9mcZfpi/QE/ikb++erw8Ls+UvfTdaeXsUt0kuISGQLX8hhcndKBAwnT/T5y86JbbpWBszVuSZ53vtZaVOQYF43iqeVcjzTwwuxvBnMEd1XZqdv4e/eRgjXx+JE8WpZg89b7X6Xjy/3OYiFs91TBEefzqy4j6m0Pl74AHg9NNTA5SC+o47ug/ag2XU8xcW0D2QFaUpC+hZos8CegxAShCX9YvBAnoyw1hAj0PBArp102EB3cIiW9GXBfTcYen1zyIL6F4R82Wf2MZdbt/+5ptvimdftodfwuPEiRNx2WWXxXyPGTMGY8eO9dUP1SjqRUXOLkThKPRFYdAXlIX/58WDqMMOsxy0FO9iyi3ddT5P2iT+0sXz/bvuj1e/fdXBaEIsT7fPRxE9G/7WiZe1xMkW4gUiC6K33krVBrIYDtzUBQLZ8OfCPZsEjIDp/Jk+fwk4PTy5Nx1rY8aK/MMpxfKNtrfdZ84EBg70xHe+GRvDX74Bn6N40/mb9PYkNBpeiYvetTp4bnvg6/smYGQ/8Rk6F60Q4PGnFR2egwmdv99/Bzp3Fh8s2r5kPPNM4J57PMfupkHU8xcW0N2wpIENC+hZksACegxAFtBtecRfoFtg8BfoMSz4C3QX91kW0OMg8RfoVrLwF+gpA+ejjz7C3uJw39/FgqJ58+bizN/Lsc8++8T+/aTYv/jee++N2W+33XaYN2+eeDaWuy9Jol5UuLiDZGUS+qIwq2iDbbxI7M5Tkbbxz9dfA926BdtvNt5N4U+eX95/Sv8kFFIMP3T7Q7H9neKJoK3IM9BXjrS2mkkX0WefMhv9OvfLBtJQ22bD3wcfAL17p4a7di3EPTLUS6jXnWXDX70GTpOLN50/0+cvmqRRLAzTsTZqrOy2GyDWFckiXsLF8OE6pVPOYzGKv5yjo79Dir83uxRgwA9W7NcM3gqjZyh2wNX/Eo2OkMdfftMbCX9XXglcd50FXGPxxZR8UFFCbMucJbxRz19YQM+SwLCas4CeJdIsoMcAZAHdlkcsoFtgsIAew4IFdBf3WRbQ4yCxgG4lCwvojoHzwgsv4IQTTsCaNWvIQSXF82nTpmHbbbd1Mejcm0S9qHAfqT/LSBaF/kINvJU8dqyD2Dxo6VKrq8ceA447LvCufXdgEn9jZ47FuFnjkmc3XvTKRbj13Vsd2KR/aZ4Q0ccMFLtPDBrrG8soGmbD35QpwKmnWlF37QosWBDFVdTfPrPhr/6ips+Vm86f6fMXfTKJBXSduMgYizznpPbF25jt0UcDTz2VsVk+G5h+r8tnbtzEns7fxLduxNl/uRwtbc8LDv4/oN85/AW6GzzDtuHxFzbiue0vEv4Wi+1at946dbcUec7cqFG5vTjhLeq5IgvoOac0GIcsoGeJKwvoMQBZQLflEQvoFhgsoMewYAHdxX2WBfQ4SCygW8nCAjo5cH744QfceuutMaFczuEaNmwYE8yPOuoonHfeeWjatKmLAefNJOpFhbdovVtHsij0HmZoLQ4+GHjxRau7iy8Gbr45tO49d2Qaf/JLdPkFefqX5fLL85/X/ZzEJ11ET7TzDGDEDbLh7yJx1qW4HSbL4YcDU6dGfEH1rPts+KtnUGl5uabzZ/r8RaekMh1ro8bK/fcDZ5xhpc+f/gR8951O6ZTzWIziL+fo6O/Qzp88A33yMyPx3W2pcVeI9coicfRUPh5npD8D2UXI4y87/KJuHRl/4sMRyDf5E6VTJ+D774GiopxCEvX8hQX0nNIZnDMW0LPElgX0GIAsoNvyiAV0CwwW0GNYsIDu4j7LAnocJBbQrWRhAd3FwAnHJOpFRdBXGdmiMOgL8+l/3Dhg7FircX+xq/ibb/p0FkIzE/lTnW1uwpnn6SmRDX+DBwNvvGF5lHk7ZkwIScddJBHIhj+GMXoETOfP9PlL9BlkRWA61kaNlY8/BnbdNTV9li8HSkt1SqmcxmIUfzlFJj+cJfib+vlUXDznYhz82QZMfdqKfYV4f7ztCPHvgngdi+h68crjTy8+vEYTGX/iWEL06ZMa7hNPAMce6/US6rSPev7CAnpO6QzOmT1Rbqg+DK3LU5/el6DG0Xk72PZ1tP1aSthS7WWTVqudKmORdZxfap/OEAB691JgtQKrdUQ99XBemqnq3dJQqDAURzY4ikosEW/OkaUFUVtGm/7aroHjhxWN6PMilsHpZDE6ko4XQ+ztmVZUtksUPijBXeWjen3aYZyi79VV7emLriKqqTppJo7PcJSfFLir6lcQ9lSdNKOEdZXYTuXrRrcJKOwoMVI2p3JQ1lNnRbZS9Eetq1RrLYomSlSXXVH1XRQxdHGebdR+62rSuLN4vYMqFUR9B4htYohC2VJ1smlHLHF46Kjw23G9s79mizfTF02HBiwjzKl7pjSj7rGqe+avhF+qTpp5ub96SGOlKZXfXu67jRSevdyjVT6oe7pq3FG2Kr9UvZdxrsInF3xsIpyo7ldecsWNgC4+xqyo3cWpuroa5eWqG0wuLrT++oh6URE08pEtCoO+MJ/+xeYGOOggq3Ezca9aLf5WFAZ5H/EZq2xmGn+ZRPJMv2cBZSRN/fInjxuQz/pX2uY2zz0HHHpoJJdRbzv1y1+9BUyzCzedP9PnLzqlk+lYGzVWNoqFWnGxWMPbFmavvALsv79OKZXTWIziL6fI5Iczyd/kWZPx0McPYf7a+bhq+gZcOduK/YMd22D65MtQOaMyWckiuj7c8vjThws/kUTKX79+wNy5Vth77AG8846fy1C2iXr+wgJ6TukMzhkL6AS2LKDHQGEB3ZYbLKBbYLCAHsOCBXTb+PAiiubizxkL6HEUWUDHIhbQczGiMvqIelGRMcAsDSJdFGYZexDN5fnn7dNegPv0U2DHHYPoLXufJvHnVhx3a5c9usF78Mvfjz+Kdy/T3pn69ltgm22Cj5l7sBDwyx9jqAcCpvNn+vxFjyyKR2E61saNlb59gbfftlLommuAK6/UKaVyGotx/OUUHf2d3Tj7Rjwz75lYoFJA/+/TDTHoM+vrjplH9cGgp99zHH/EIroe3PL404MHv1FEyt8zYtyLowpTivzbteeefi/H0S7q+QsL6DmjMlhHLKAT+LKAHgOFBXRbbrCAboHBAnoMCxbQbeODBXQLDP4CPY4Ff4Ee7OQtZO9RLyqCvtxIF4VBX5xP/507i+N5bBu4PPggcNJJPp0F3MwU/ryK4l7tA6bBt3u//L30EnDggVa38mO6VauABs4NuHzHxg0zI+CXv8ye2SIMBEznz/T5Sxg54rYP07E2bqxceCFwm+0Q6b/9Dfj3v93SnXd2xvGXdwz4C3jOwjmYu3AuRr8+GrsWx48dOLL3kTjxoFFov8bauXHu+HOwd+Wdsd9NmR/7Q0zPVjz+9OTFbVSR8id3TOnaFVi40Ar3mGOAJ590G35Gu6jnLyygZ6RIDwMW0AkeWECPgcICui03WEC3wGABPYYFC+i28cECugUGC+hxLFhA12OSl6Mool5U5OgylG4iXRQGfXE+/R9+OCC3w06U884Dbr/dp7OAm5nAn3xA2H+KOGy+trj9Yib9IeHsU2ajX2ex1V0eFb/8TZgAjKo9wkNervyYzr7DXx5BkNeh+uUvry/aoOBN58/0+YtOqWg61saNlUcfBf7+dyuFOohjGherzozTKdP8xWIcf/5gyKtWY2eOxbhZ42IxFxUUxQT0k3Y5CUdtPRDttt055Vq+nfMCuu4dP38qfW4s6/JxfpxXZGUIlsdffrMZOX+TJgEjRlggynPlqqqcW5H5hDnq+QsL6D6JC7sZC+gE4iygx0BhAd2WGyygW2CwgB7DggV02/hgAd0CgwX0OBYsoIc9nQu0v6gXFYFenHAe+aIw6Av04f/664ErrrAaBnDcmI+o6Cam8Jd4UOhWPE+gkXhQOGbgGIwdNDZnuIblyC9/xx0HPPGEFeXZZwN33RVW1NxPAgG//DGCeiBgOn+mz1/0yKJ4FKZjbdxY+eorYPvtU1No0SKgUyed0ipnsRjHX86Q0dNR+oulUkC/pd8tOKLHEVj00gPofZp13MCvRUDjX9ejsKghKZ7n6/xYT2b8RcXjzx9uurSKnL+fxbmN8tyu336zILnsMvG2zA05gSjq+QsL6DmhMXgn9kS5oPpctChvkdJpGZY5gijBCjIwL7alqHH6/XUl6bcxVb1agY3TbdzQOh7FakjVyV8pAV0lBnihiDqvtpHCASXCSNOWhH2JwkcbZ/3Kdo1J4xo4VVGVgL4M7Rw+1GJ7R7K/aiE/pheVD9J2tXhDlijrFhAXXaXAR6wPHIWqk0aqekpYp4eH2FeS6O8XRWxUfS5yUJWvVFo0Vxi3IuqpOmlGie1p51UmvaWdtxqrV9l2IWKg6oRZm23FIZlE6VjofMNaLYoHY9uOuL92FK+uUKVsJX3TK3DeogFxfi1ZqHup6p5JdbdG4deLgE7ZSrebVMnpsl68hEgW6r5L3wYByofKVnXvpupVY4myVZ1rTtmqYqB8qPy6hLdOM+repLpfUX9fVS+tUbmS9nd7kbivVoyNR1ct9psuTz8QNxfXxz74oWg9zIHXXgP228+68EbifrN2rfgCRDyk0q1EvqjPISDygaGfL8j9tsth6L5d+eVvxx2Bzz+3ur37bmDYMN9hcEOfCPjlz2d33CzHCJjOX9QPRXNMl9buTMfauLGyWWx/3bo1sMa2wJdbDx16qNZ55jc44/jzC0QetbN/SW4X0L8ceyoG3fNy8ko+2aY5dv52Lbl1+96d9/Y1r84jmPIiVB5/eUGTMkgt+Dv33NQ3pVsI7VKeNyf/m2WJev7CAnqWBIbVnAV0AmkW0GOgsIBuyw0W0C0wWECPYZELsZ0FdNsYYwE9DgYL6FZSsIAe1lQwYz9RLyoyBpilgRaLwiyvIdfNV4oXrkrSXtD86CNg1/jxg1oV5k8rOjwH44e/deLvQ3Pxctom29zhrbeAvfby3D03yBIBP/xl2SU3zyECpvNn+vwlh6mQtSvTsTZyrAwZArz+usX95ZcD112XdS7o6MBI/nQEOscxJUR0+xbuu42+EXu9ZZ2H/OYBPfD25SeickZlsnevuznlOGx2l4YAj7/8Tgkt+PvmG6B7d2DLFgvMiROB4cOzBjfq+QsL6FlTGI4DFtAJnFlAj4HCArotN1hAt8BgAT2GBQvotvHBX6BbYPAX6HEs+Av0cCZxIfUS9aIi6MvUYlEY9EX68N+1K/Ddd1bDe+8FzjjDh6OAmzB/AQMcsHs//H34IdCrV2pg8iO64uKAg2X3DgT88Mcw6oOA6fyZPn/RJ5N4C3eduHAdy8iRwI1o8c5WAAAgAElEQVQ3WuZy66FXX3XdPJ8MTb/X5RMXXmOVIvro10fHzkCX5fHxH2Lb5dYblHefvivOKZ+fdMviuVeEg7fn8Rc8xkH2oA1/Rx4JTJ1qXWpHsePx998DDRtmdflRzxVZQM+KvvAas4BOYM0CegwUFtBtucECugUGC+gxLFhAt40PFtAtMFhAj2PBAnp4E7kQeop6URH0JWqzKAz6Qj36P/ZY4KmnrEZnngncc49HJyGYM38hgBxgF374e/BB4JRTrKDkyx4LFgQYJLtWIuCHP4ZTHwRM58/0+Ys+mcQCuk5cuI7lmWeAo46yzNuI4xBXiPMICwpcu8gXQ9PvdfnCg984b5x9I56Z9wyarN+ENy7/EA1sH6H2ES/3zusU98ziuV+Eg23H4y9YfIP2rg1/774L7Lln6uVOmQKcfHJWEEQ9V2QBPSv6wmvMAjqBNQvoMVBYQLflBgvoFhgsoMewYAHdNj5YQLfAYAE9jgUL6OFN5ELoKepFRdCXqM2iMOgL9eh/0iRgxAir0W67AR984NFJCObMXwggB9iFH/4uvhj4xz+soA47DHj22QCDZNdKBPzwx3Dqg4Dp/Jk+f9Enk1hA14kL17H88APQpUuquXwbTb6VZlgx/V5nGF2Oy5H8TZ41GR8+fwceuP3L5O8bxbsexeLkgXVFLJ7rnAM8/nRmJ3NsWvE3aBAwa5YVdI8ewCefAA0aZL4QhUXUc0UW0H1TF25DFtAJvFlAj4HCArotN1hAt8BgAT2GBQvotvHBAroFBgvocSxYQA93Mhdwb1EvKgK+PHGO8iYsX7481k3btm1RWFgYdJd54X/mTGCffaxQi8TDKblNduPGeoXP/OnFh9do/PCXfmzr2LHAmDFee2b7XCDgh79c9Ms+coOA6fyZPn/JTRbkxovpWBs5VuRZsmVlEJNgKwmeeAKQWxAZVozkzzCO6rqcBH9vXnEMjv7nm0nTT9sCO5/L4rnuqcDjT3eG6o5PK/5eegk48MDUgF94ATjoIN8gRz1/YQHdN3XhNrQnyrHVV6NZeeuUAEpQ4wioDEvJILO1LYHYLogopZucMbSo2UADtVKB32qi/leF7S9EPSWqSzNKJLCOY0l1RD2P3UoRAyXCSNPmhH0LhY8SZ/0GsSsTVWpatnRUL0U70nYZxCQ7rajEdnV9B4ePaiFJUmUJxLkWaWWhwvanH522qFI86a0ieqPqpJkXAf0nBR9Ueq9S2FL1KkFK4SKwaioHKVFdBkDVt1dERtWrbMsJH10UfhX1jbs4bxYdWy4hnVBieUfxiglVqHovYns7LCP9qu677Yj7cZvFlKIt3FL3R+ftNd4/ZUvdR6UtdS9V3V8VoUF1j6XQ8DIWVPdYyi913/V6j6bsVWJTtv2pYvOi/XnBxwvuqr+DXl62oHIi7e/zInGvrLg2TmZ1dTXKy6mbQ2B3w3rjOOpFRdBAa7UoDPpiPfiXYnkr8XdcPl9NFLlz2u67e3ASginzFwLIAXbhlT+Zj+I9F9TY5i/y63P5FTqX8BHwyl/4EXKPdSFgOn+mz190ym7TsTZ2rEghQgoSiXLJJcBNN+mUWjmJxVj+coKO/k4S/C36+1/Re/rHyYAf6QlcdHwb1Fymeqil/7XVhwh5/OU3y1rxJxeCPcXA//RTC9R+/YDZs32DHPX8hQV039SF25AFdAJvFtBjoLCAbssNFtAtMFhAj2HBArptfLCAboHBAnocCxbQw53MBdxb1IuKgC+Pv0CvA+AddgC+tHZKxJ13AuecEzQj3vxrtaj3Fjpbyz8XHneAWCzeX+xUe9ZlAsBvvwW22YbhjAIBr/xFESP3qUbAdP5Mn7/olNumY23sWJFbuIwbZ6VS//7Am9YXvjrlWDaxGMtfNqDkUdsEf2t3745u1eIN39pyyX7ALX35C3TdqeTxpztDdcenHX8PPwycdFJq0HPnAn3FzcBHiXr+wgK6D9KiaMICOoE6C+gxUFhAt+UGC+gWGCygx7BgAd02PlhAt8BgAT2OBQvoUUzpAusz6kVFYBdW61i7RWHQF+zB/9//Djz6qNXglFOAf/7Tg4MQTJm/EEAOsAuv/L38MjB0qG1aKualq8UOOVkcfRfg1Znv2it/5iOSX1doOn+mz190yjbTsTZ2rLz4InDwwVYqNWsW/6Nq2HFGxvKn000gwFgkf3dPvw1nHngpGm6ytsYafCLwRu0LlBOGTMDIfiMDjIJd+0WAx59f5PRopx1/f/wBdO0qdgq2CTWHHgo895wvwKKev7CA7ou28BuxgE5gzgJ6DBQW0G25wQK67UklMWZ4C/ckKLyFey0UvIW7NVB4C3cLC97CPfyJXg56jHpRkYNLqNOFdovCoC/Yg//bbgMuvNBqsNNOwCefeHAQginzFwLIAXbhlb8bbgAqK62A5McG8qMDLtEg4JW/aKLkXlUImM6f6fMXnTLbdKyNHStLxfGc7dPOzZNb4+64o07plXUsxvKXNTL54eDG2Tdi/n8exuOTPksJeMK/R2DURxOTdSyi68knjz89eXEblZb83XwzcOml1iUUFACffw5sv73by0raRT1/YQHdM2XRNGABncCdBfQYKCyg23KDBXQLDP4CPYYFf4FuGx/8BboFBn+BHseCv0CPZlIXUK9RLyoCuqykWy0XhUFftEv/b70F7L23ZSy/8pVno8sPlHQpzJ8uTPiLwyt/xx0HPPGE1dewYcDdd/vrm1tlj4BX/rLvkT3kEgHT+TN9/pLLXMjWl+lYGz1WOncGqqutFJgyBTj55GxTQqv2RvOnFdK5D+aGOTdg9OujccWX5RjzxPfJDqpbF6Ji5UbI3ytnWG9Wsoieew6y9cjjL1sEo22vJX9r1wIVFfEdUxLl9NOB++7zDFbU8xcW0D1TFk0De6IMqL4fjctLUwJph2WOwEqxggyWsi0TMixVSlDjqPZi2wqrSL+lKyn1GyiwjalkQ2cI8Z+8iEHriTA25oDLRgof1JeMqoeYLQkfbWi/v5aIJ6JpZWmjdqRxDVJzRBotFnIiVZaB9kHZV0Pc/IjiyXaTM46VC9IOSkz0UUV0RtVJM5WATtX/pOCOqqeHEsj0plNb0dmGHCQhpQRKt+LNrvSiMqW+TFd9re5MK/E2tOIyyol6qk6aqeq7ED66UJ/HijA6iQM304paQF/isK2AbUFq+5XyoboPdhCjjCplxD26RHGPLt3kvOm1WKrIlZVEb17umdQ9V7qk7pmynrrvqu6lVL1KsPUyEgoJY1Vue6mn/MquKB+qez9lq4pB1Z8XLLzYUtiruKP4p4cdnStpebJITAUqxseDrRYPfsrLVQPeywWxbToCUS8qgmZEy0Vh0Bft0v9vvwEtWshzqq0Gc+akiuouXQVmxvwFBm0ojr3yJ3dB+Mz2AZIUz6WIziUaBLzyF02U3KsKAdP5M33+olNmm4610WPliCOAZ5+10umcc4A779QpvbKOxWj+skZHXwcJcbyooAgPTW+D/5tt6Qvv9G6PPd+PP3tjEV1fDmVkPP705idTdNryd/nlwPjah4HyIho2BL4XL9l0pPUp1XVGPX9hAT1TBmryOwvoBBEsoMdAYQHdlhssoNvAYAFdgsECui0lqHsmC+gWQCygW1iwgK7J7M9bGFEvKrxF691a20Wh90sJpMUuuwD/+5/l+pZbgIsuCqQrX06ZP1+wadPIC3/rxAtXzcVOSPYXOuT27XIbdy7RIOCFv2gi5F7rQsB0/kyfv+iU3aZjbfRYmTABGDXKSqc+fYD33tMpvbKOxWj+skZHLwdzFs5Bv879UkRxKaB/8Fgxdv7a+spj5smDMGjKG8ngz37xbEz+YHLy3/wluj688vjThws/kWjL30/iK8WttwbkmeiJIh9SyIcVHkrU8xcW0D2QFaUpC+gE+iygx0BhAd2WGyyg28BgAV2CwQK6LSVYQLfAoL4KZwHdwocF9CinfL77jnpR4Ttwlw21XRS6jD9os9NOA/75T6uX448HHn006F7d+2f+3GOlo6UX/j76CNhtt9SrkEcKFBfreGX1IyYv/NUPRPLrKk3nz/T5i07ZZjrWRo+VGTOAffe10kl+xSe3x5X/NaQYzZ8hHMnLGDtzLMbNGodhvYaliuH7jMe5f70SzX+3tsR6967LscfZ18WuPvEF+pA/DcGM70U+15bZp8yOifFcokWAx1+0+Gfbu9b8yW3I7rnHusQmTYCqKqAdvRsyhUXU8xcW0LPN0JDas4BOAM0CegwUFtBtucECug0MFtAlGCyg21KCBXQLDBbQ41jwFu4hzeLC6SbqRUXQV6n1ojDoi3fhX26RLXfzTJTttgO++spFw5BMmL+QgA6oGy/8PfggcMopViDbbAN8+21AgbFbVwh44c+VQzYKFQHT+TN9/hJqsmTozHSsjR4rq8SZWK1bpzI8bx7Qq5dOKZZVLEbzlxUy+jSWX573n9I/GVBCDJdfkh/bZHds3XtwSrA/fvo2Ou24p2P79oT4PmbgGIwdNFafC6zHkfD4y2/yteZPbtnerVvq9mSXXSbeqrnBNehRz19YQHdNVbSGLKAT+LOAHgOFBXRbbrCAbgODBXQJBgvotpRgAd0CgwX0OBYsoEc7uctx71EvKnJ8OQ53Wi8Kg754F/7lM1S5m6e9rBbHdMiz0XUozJ8OLPiPwQt/l1ySuivfYYelHtvqPwpu6RcBL/z57YPbBYeA6fyZPn8JLjO8ezYda9PHCuTbkd98YxE/WWyFfdZZ3hNB0xbG86cp7l7DSj/LXIrhdx90N975xwjsefGkpLuapgVos3YjbnxrIipnVCbrE9u2J7aB99o/2weDAI+/YHANy6v2/J16KjBligVHs2bxr9BLS11BFPX8hQV0VzRFb8QCOsEBC+gxUFhAt+UGC+g2MFhAl2CwgG5LCRbQLTBYQI9jwQJ69BO8HEYQ9aIih5dCutJ+URg0ABn8rxdHL8gtsjdssAzfEEcODhoUcWC13TN/evDgNwov/A0ZArz+utXTmDFiu8+xfnvmdrlAwAt/ueiPfeQWAdP5M33+kttsyM6b6VibPlZw3HHAE09YSSDP77n//uySQqPWxvOnEdbZhpIuoktRfI/JL2LQY3OSrj/s0Rqv3TOSFM+z7Z/b5x4BHn+5xzRMj9rzt2AB0L07sHmzBcsVVwDXXusKpqjnLyygu6IpeiN7onSvfgFF5WUpQZWgxhFkGZaSgbcj6kuJ9rIxZVuGZaRfKoZSrHBtKw1b/So+lUkrjVcq8HeaAlSdbO7lPFdKULCOcEkNRnVmbmMi5kaK6xAv3ThKS9p2S4mzfkWb5qRxDZzGS5GaN4mGywTTVFks5Mf0QtVJG6q+GhUKvx0c9dWradt1VW2cPqoUWHqp/0nhgxLh6TQGmd5iZy2ykEKV7Sl3SqPfFU68VFMKoThnhCyE2E6nlRikhAPVC2PtCVuqTpqVK0Kj6rsobIn6ll1oojs2Wuxw0kFkMVWoe55amKd9tCPum6p7NHUvLVHcS0vXO+/9zVbbJiT2C6Lupap7JiW2S1+/EAhR91dpRuW8ypYCXiXuZjsMZHtqeKj8Uvd5VXsvwryX68iFLfV3jAX0XCCrjY+oFxVBA6H9ojBoAFz4790b+OADy3DiRGD4cBcNQzBh/kIAOcAu3PK3ZQvQti1QY5ueTJ0KHH54gMGx64wIuOUvoyM2iAQB0/kzff4SSdIoOjUda9PHCm65BZDbvCRKz57Axx/rlGJZxWI8f1mho1/jdBF95r+KMfCztclAn/hrJxy354/Jfye+PNfvSjgiiQCPv/zOg7zg74QTgMces4CWW+X98IPQGSihIZWPqOcvLKDnyfhgAZ0gigX0GCgsoNtyo0oxoKl6FtBtYLGALsFgAd2WEiygW2CwgB7HYp3i/kq9FJGWP4vEi0UV4+Ptq6urUV6uemMmTyZlmoYZ9aIiaFjyYlEYNAgZ/MtdPO+91zI65hjgyScjDqq2e+ZPDx78RuGWv8XiPcJOnVJ7kR8cdO3qt2dulwsE3PKXi77YR+4RMJ0/0+cvuc8I/x5Nx9r0sYLZs4EBA2zrVLFQXbMGaNrUf1Jo1NJ4/jTCOleh2EX0RTeJOaCln+M48fLkE+IdD1lYPM8V4sH54fEXHLZheM4L/r74AthxR0C+cZ0o48YBV12VEaKo5y8soGekSA8DFtAJHlhAj4HCArotN6oU45WqZwHdBhYL6BIMFtBtKcECuu3BBHFf4S/QLVBYQNdjoiiiiHpRETQQebEoDBqEDP7vuw8480zLSIqWUrzUoTB/OrDgPwa3/L38MjB0qNVPc7Gj0WqxZmvQwH/f3DJ7BNzyl31P7CEIBEznz/T5SxA54den6VibPlbwi9gOrqXYrtK+Be7cuUDfvn5TQqt2xvOnFdq5C0aK6Df9uxLLrOPPY853OBf4UuxKxOJ57rAO0hOPvyDRDd533vAn3/B/+mkLEPn1ufwKXX6NXkeJev7CAnrwOZyTHlhAJ2BkAT0GCgvottyoUgw3qp4FdBtYLKBLMFhAt6UEC+gWGPwFehwL/gI9J/O5IJ1EvagI8tqk77xZFAYNRB3+P/oI2G23VIOV4viO1q0jDKq2a+Yveg6yicAtfxMmAKNGWT3JZ/ry2T6XaBFwy1+0UXLvKgRM58/0+YtOmW061qaPlVgu7bQT8NlnVlrdeitwwQU6pZnvWOoFf77R0bvhzWP3xyXj/psM8rcioFjMB6//ywSM7DdS7+A5uhgCPP7yOxHyhr9PPgHk8SP2cv31qQtIgoqo5y8soOfJ+GABnSCKBfQYKCyg23KjSjGgqXoW0G1gsYAuwWAB3ZYSLKBbYLCAHseCBXTtZ4xRLyqCBihvFoVBA1GH/z/+iL+8vd62M8RrrwH77hthULVdM3/Rc5BNBG75+7//Sz024OyzgbvuyqZnbpsLBNzyl4u+2EfuETCdP9PnL7nPCP8eTcfa9LESY/6UU4AHH7SSQJ4p+8gj/pNCo5b1gj+N8M5lKDOH/RWD7nk16fLd8gIMPb81ai6ryWU37CtABHj8BQhuCK7zir/DxfkOzz1noVJaClRVAc2aKZGKev7CAnoISZyLLuyJ0qrqPTQo75jitqRwhaObUtB/qNphqcO2DMvIML3YlhF+SxQxlMAZrwyAirnVenF4KlGa1Wx21orjf8hCie1exICNHlmktvdVbflL3R9U9wyxW1N6WdeGjq2mmfOHFSghjZehjKxfStQvFjIjVZYgNSelTTUqSNvFXmyXOv1uXqAASNxvyULVL1LYUvUqsZ2qp9MVELttOcsGRRC/e6x3m5+qJGxCOPBwjpb4W0cWql5l217hgzoqWXV8MlXfhfbboItTIe5YJg7uJAp1H+yIJaRtR7j3obrvUvdHlW0rOBNOdX9tvclpW7yazsEC6p4pr5gS1lViO3WPpbb7ln6pe6yX++4mt2OgDjtKKFeZq4aSlzC8+PCChcqWwkhlS9WruKP4T+M+dgb6tXFw+Ax0L0nizTbqRYW3aL1b59Wi0Pvl5azFHnsA771nuRs/HqiszJl7346YP9/QadHQLX89egDyeLtEmTwZOOssLS6hXgfhlr96DZLGF286f6bPX3RKLdOxNn2sxHLpzjuB886z0mr77VP/8OqUcB5jqRf8ecQkX8xf6dUKf/3Qeog0uU8DnH3gZt6+PV8IFHHy+MsjsohQ84q/Dz8EevVKvYqJE4Hhw5UkRD1/YQE9T8YHC+hOolhAj2PCArotN6oUA5qqZwHdBhYL6BIMFtCtlGABPcPkwIv4rXLlxQcL6HkyW4s2zKgXFUFffV4tCoMGow7/54rzBu1f/B5xBPDMMxEGVNs18xc9B9lE4Ia/38X7n/LMc/vRrG+/Dey5ZzY9c9tcIOCGv1z0wz6CQcB0/kyfvwSTFf68mo616WMlxrp8S1K+LZkoBWI3wVXibeUM58f6y5hwW9UL/sKFNJTe5Bnohx1Sie3EsVGJMuzgQtzTK/4GP5+BHgoNWXfC4y9rCCN1kHf8HXQQMG2ahVnbtsB338UXk0SJev7CAnqk6e2+cxbQnVixgB7HhAV0W25UKcYUVc8Cug0sFtAlGCygWynBAnqGv89exG+VKy8+WEB3P2Gqx5ZRLyqChj7vFoVBA6LwP2UKcOqp1o9dugDffx9RMLZumb/oOcgmAjf8zZsH9Oljm0uIZ/pr19a5G182IXFbDwi44c+DOzYNGQHT+TN9/hJyutTZnelYmz5WYuTKc3qKi4ENtp3k3ngDGDRIp1TzFUu94M8XMvo2kuL5ddMqsWZCaoyTbjkGI1Y/laxkEV1fDhOR8fjTn6O6Isw7/t591/mW9bVi28orriAvM+r5CwvoeTI+WEB3EsUCehwTFtBtuVGlGNBUPQvoNrBYQJdgsIBupQQL6BkmB17Eb5UrLz5YQM+T2Vq0YUa9qAj66vNuURg0IAr/n3wC9OyZ+uPy5eKYJNURKiHFyfyFBHRA3bjh74EHgNNPtwLo1g34+uuAAmK3nhBww58nh2wcKgKm82f6/CXUZMnQmelYmz5WkvTKrW/lFriJcuONwIgROqWar1jqDX++0NGvkRTPK2dUot8PwGzxAm+ibGxQgPUrl+OOT+6P/Z4oLKLrx6E9Ih5/evOTKbq85O/gg4EXX7QuraU4t1h+hd7GeSRx1PMXFtAzZaAmv7OA7iSCBfQ4Jiyg23KjSjFgqXoW0G1gsYAuwWAB3UoJFtAz/PH3In6rXHnxwQK6JrMxvcOIelERNDp5uSgMGhTC/0Zxv5C7eMrttBPllVeA/fePIBhbl8xftPhn27sb/i64ALj9dqunI48E/vWvbHvm9rlAwA1/ueiHfQSDgOn8mT5/CSYr/Hk1HWvTx0qS9WHDgHvusZLg6KOBp6yvff1lR/St6g1/0UPtK4I5C+egX+d+sbYJ8Vz+//nvALeJtUaiVJW3REVVDQoLC1Ps5O8sovuCPpRGPP5CgTmwTvKSv48/BnbdNRWTSvHSzfjxDpyinr+wgB5Y6ubWMQvoTjxZQI9jwgK6LTeqFOOOqmcB3QYWC+gSDBbQrZRgAT3D33Av4rfKlRcfLKDndlJlqLeoFxVBw5qXi8KgQVH433tv4K23rB/r2A0ttAiZv9CgDqQjN/wNHAi8+abV/dVXA6NHBxIOO/WIgBv+PLpk8xARMJ0/0+cvIaZKxq5Mx9r0sZIk+P77gTPOsPj+05/iX+3leak3/OUhT2NnjsW4WeNiArgs9i/L//NqCQ5+uyZ5VfP22Ql/fm0+KaBLIxbR9UwAHn968uI2qrzl79hjU18Aa9oU+PZboH37lEuPev7CArrbTIzYzp4omL0Q6FCeElHz9iscEZY0s/6A2X8sw1KHbTssI68we1tnX7KjUtCxlRD1JXBem/TRetMqR8wtamznANl/XU1cHlUnzcSRQo5C1UkjL6KGSixpRPRH1UkzsZuFo1B1wmhNSZHDdEVhCclzjWCEKkvRzlG9BB1J28VEPVUnG1P11ahw7Xf5t7QtqsRhi1SpIiqpOmlGCesqsf0nwi9VJ83INN5CxwtxYCRZbJ+TJX//TWHrpdqZKwAlqkuf4rM2R6HaC6PGhKlqC9nUv41WQ6peZZt6W4z7oOpU9V1ozJqXi71v00qHZotJ4zLFvbSjyPr00o64F0sb6v7oxZa6j0q/reC8ZxYrco2ylT6arnfmW7PVm2ngqPvmr4q8XEfUq+6vmzzYerlHexkyYdtS16yKQXXNVL2Xv20qW4rTND4XidSrGBsPuLq6GuXlqoEZNrBm9Rf1oiJoNPN2URg0MIT/9C+BDz0UeO65CAKxdcn8RYt/tr1n4m+LmNK2bg2stq2v/v1v4G9/y7Znbp8LBDLxl4s+2EdwCJjOn+nzl+Ayw7tn07E2fawkGae+2lshHjiV0M/7vGdKNC3qDX/RwOu7V/nlef8p/cn2Ugw/7Nix2O5H6wHA3POPxp63PI5Jb09KEdrtDmafMjv5NbvvwLhhThHg8ZdTOEN3lrf8yfO+evQANtkeep5/vtjW4rYUDKOev7CAHnpK++uQBXQnbiyg12LCArqVHCyg+7vBgAX0GHBdaPhYQLdwYQHd5xDLthkL6NkiWC/aR72oCBrkvF0UBg0M4f/hh4GTTrJ+kO+siHdXIi3MX6TwZ915Jv5+EOdfdkmbR1VVAVtvnXXX7CAHCGTiLwddsIsAETCdP9PnLwGmhmfXpmNt+lhJEr5BfDgkz+tZZ3trWYfzejxnZGqDesNfljhF0dy+ZXuifymeX7TrMDRo2QpFtm8q5k25Ga933YCRr49Mhmr/cn3MwDEYO2hsFJfBfdaBAI+//E6PvObv9NOBBx6wCCgSGsU336QsJKOev7CAnifjgwV0J1EsoNdiwgK6lRwsoPu8o7GAHgMu7cFvAkwW0K20YgHd5xDLthkL6NkiWC/aR72oCBrkvF4UBg1Omv/PPwd23DG1cskSx05ooUbF/IUKd847y8TfCy+kfm3eqhWwciVQoNgcKucBssM6EcjEH8OnNwKm82f6/EWn7DIda9PHSkou9e0LvP22VaXDeT1ZJnu94i9LrKJoni6iS1H8kF86YfsD/p4Szp3PX4+LPx6DDVviO8Tat2y3n6MexTVwn2oEePzld3bkNX8LxU7b3boBf/xhkXDqqSmietTzFxbQ82R8sIDuJIoF9FpMWEC3koMFdJ93NBbQY8B1oeFjAd3ChQV0n0Ms22YsoGeLYL1oH/WiImiQ83pRGDQ4af7lDmgtxfzwV9sRCy++CBx4YMiB2Lpj/qLDPhc9Z+JPPre3n3c+YAAwa1YuemYfuUAgE3+56IN9BIeA6fyZPn8JLjO8ezYda9PHSgrj6ef1HHII8Pzz3pNCoxb1ij+NcPcSSrqIfvfi3TDs3g+TLqrbNsERo3bC/LXzYwI6n3fuBd1obXn8RYt/tr3nPX8XXpi6bXuDBrJQUPwAACAASURBVID8KqB79xg0Uc9fWEDPNkNDas8CuhNoFtBrMWEB3UoOFtB93pFYQI8B14WGjwV0CxcW0H0OsWybsYCeLYL1on3Ui4qgQc77RWHQAKX5lwLm7NlW5dixwJgxIQdh6475iw77XPScib+jjgKeecbqiTi6LhdhsA+fCGTiz6dbbhYSAqbzZ/r8JaQ0cdWN6VibPlZSSH7kEeDEE62qTp2kwuAqD3Q1qlf86UqCi7jsIvqd4gXdc+ZZjV7btTWuOHHbmIB+zeBrMLKftY27C9dsEiECPP4iBD8HXec9f0uXAttsA/z2m4XG0UcDTz0V+3fU8xcW0HOQpGG4SBHQnxaHGLYThxnaS6kziqL2a8jQykpEUqaVdnDWSZMyLMvKtkzhtx3hV3ZUihVEf84YpFEr/OywLd1UQ15z8er41jH2UrBawRxVv15haztyyHcebEW0pOqkWTPCViGgbxBHIqWXVS2bk2HWoISsX0HULxNZQZXF6Oiopuqk0WJ0cNhWo4L0u4TwW/0rbftLVVuahiqieoGCMWrNoVqHUPU/KfxS9b+ossb2ByPFZC3RQGX7u++UjDekRHVZ34TwS9VJszaErWIvT+IeFmtM1bdXXBpVr7JNu4XGPFJ1sr4L0V85PfjbdqLvV9S90Mt9V3UvLYHznldC3EflFbTCKseFtCbqVLayvhjOHGxO1EnbpnDmICXAx2x/tR2aVRtlger+SonJXmwV6YONih9U9So/6fVe2nsRymU/lG9Vf15wo/7mqTCmbNPqFok/1xWj4sBUi4OYy+WBzFxyjkDUi4qcX1Caw7xfFAYNUJr/Sy4BbrnFqjzoIEBusx1VYf6iQj43/Wbib7vt4kfVJcr99wOnnZabvtlL9ghk4i/7HthDkAiYzp/p85cgc8Orb9OxNn2spPD9xRdAjx6pKbB4MdDB+azNa55EZV+v+IsK5Bz1mxDR374P2PNHy+kdB5bj4SEdcGTvI3FZ/8ty1Bu7CQMBHn9hoBxcH0bwd8UVwPXXp4L0wQfAbruxgB5c6pjlmQV0J58soNdiwgJ6MjlYQLePExbQY2iwgJ5MChbQM8wLWEC3AGIBPS8nkfxQNC9pCyzoxx8Hjj/ect9e/D2Uz1WjOpPaiEV9YGzp77gu/uRRAcXFwJYt1nW8/z7Qu7f+11VfIuTxl99Mm86f6fMXnbLPdKxNHyspubRZvIAuz+v5xfZVxn/+Axx8sE4p5ymWesWfJ2T0NL5h1vU4f98r0NT2HOX8s7bD9kdfgGEDh6GwsFDPwDkqEgEef/mdGEbw97P48kZ+hb7K9vHX4MHA9OlY9OOPqKiIf0wZxUc5/AV6nowPFtCdRLGAXosJC+jJ5GAB3T5OWECPocECejIpWEDP8AefBXQLIBbQ82R2mBomPxTNS9oCC/rrr5NHhiX7kDt7yh0+oyhGLOqjAE6TPuvi7513gL32sgKVR9bJ5/lNVBsUaXJN9SkMHn/5zbbp/Jk+f9Ep+0zH2vSx4silQYOAWbOs6tGjgauv1inlPMVS7/jzhI5+xt/PnYY/9RNbXNnKoeP7YvLJU9G2bVsW0PWjrM6IePzlGWFp4RrD3/jxwOWXp16deDls0Z//zAJ6fqdoONGzgO7EmQX0WkxYQE8mBwvo9nHCAnoMDRbQk0nBAnqGv9csoFsAsYAezuQux73wQ9EcA5rn7uSHSa1bA2tsJzo9/zxwyCHRXJgxi/po4Iu817r4u+ceYNgwK8QddgA+/zzykDkAGwI8/vI7HUznz/T5i07ZZzrWpo8VRy6NGAFMmmRVH3AA8NJLOqWcp1jqHX+e0NHP+I4L98J5t4m3KGvLInGM6OFj++CkXU7iL9D1oytjRDz+MkKktYEx/P0utIzu3eVn5hbe4t+LXn4ZFfLrdFH4C3StUzHa4FhAd+LPAnotJiygJ5ODBXT7OGEBPYYGC+jJpGABPcPfcRbQLYBYQI920uezd34o6hM4g5vJHc/eeMO6wCuvBK65JpoLNmZRHw18kfdaF3/nnAPcfbcV4rHHAk88EXnIHIANAR5/+Z0OpvNn+vxFp+wzHWvTx4ojl556CpB/dBOltBRYtiy683qyTPZ6x1+WeEXZXJ6BvtVllbj0bSuKF7sX4Oqz4uf38BnoUbLjr28ef/5w06WVUfw9+ijw97+nQLtIPMSokLusiMICui5Zp2EcLKA7SWEBvRYTFtCTycECun2csIAeQ4MF9GRSsICe4Y87C+gWQCygazgTzBwSPxTNjFF9s0j/MOmvfwXEy9uRFKMW9ZEgGG2ndfG3997AW29Z8V1/PTBqVLTxcu+pCPD4y++MMJ0/0+cvOmWf6VibPlYcufTdd0DXrqnVVVXA1lvrlHauY6l3/LlGRi9DKZ5XzqjEjAeBwSLdEuWRQ7bB7QNLYv+cv3Y+rhl8DUb2G6lX8ByNEgEef/mdHEbxJ7fS22MPYN68JCmLWrVCRe3Z6Cyg53euBhp9ioB+q9jGoKQ8tT/xoqGjKISjBu1/dZi2K1tKxl8G8fZiWikDbdvOk232/ZWgxhFbCVaQ10EKRyvXkbYFq4lqJ2RxI9oFQIkPXjJkK4VxI6K+mcKWqP+1RBxKSJRVjVqR9SsQn/zYyzKUkbZLifplaEfaLkZHRz1VJ42qUeHetsZpKxtvqBJ7CaWXBQrcqoh6cWYoWSjbnxS2VL3KduMWhZOVRL1tb9aUXykBPVtRXXZQRMSgOuSSqie4iHlU1DcmuqPud9KMuuepBHSqPu22muzZi63CR1G5k6eyEtW91FlP3YtlfNR9sFRxH6RsqXuj9Kuu/9lBSDHEQadEKcZaR21T/EbaNiHqG+EP0rYhcYNttF5hu05MvIiy1SZnZYEXAZ1oH/NI+VD5pQLz4tdrf9TfJVVsXgR06u9jWvtF4tZVcWn8gqOY7JJJYGAlPxQ1kNQsL0mnD5OMWtRnyUs+NlfxJ59vtBQv88ozzxNl2jRg6NB8vEpzY+bxl9/cms6f6fMXnbLPdKxNHyuOXNoinhvJr85X2p4T/etf4vPfI3VKO9ex1Dv+XCOjj2FCPIdIvZU3iOOibM/E37l1JD7YqQIPffxQTEDfsGUDJgyZwCK6PvTVGQmPvzwhShGmcfzNng0MGJC8WinLJBSfKJ4pFmwRJb9TpH5EzwK6k2cW0GsxYQE9mRzVLKDbBgoL6DEwWEBP5gQL6NbwYAG9FgsW0I2aRPJDUaPozMnFfPstsO22qa5++AHo3Dkn7j05MW5R7+nq899YxR+VY4vEE45OnfL/mk26Ah5/+c2m6fyZPn/RKftMx9r0sULm0v77A//9r/XTZZcBNwhlMw9LveQvj3hKiuci5i7iu4rvb01bY3w8G43abYupn0/FxXMujgnosrCInh8k8/jLD55UURrJ3+GHA889F7tkFtDzOz9Di54FdCfULKDXYsICejI5WEC3jxMW0GNosICeTAoW0K3xwQJ6LRYsoIc2jwujI34oGgbK+dWHfE26TRugdrezWPBTpwJyLRp2MXJRHzaIEfan4u/ZZ4EjjrACKxGbVy1fnrfHr0aIcLBd8/gLFt+gvZvOn+nzl6Dzw4t/07E2fayQXF9xBSDPTkmUffYBXn/dS1poY1sv+dMGfTqQOQvnoF/nfrCL59Ly1t8G4oIbZyUbrWxagBar1mNFTXyn2GvevwZ3fXhX8ncW0TUnWoTH409/juqK0Ej+vvkG2HFHsa3wBhbQ8zs9w4ueBXQn1iyg12LCAnoyOVhAt48TFtBjaLCAnkwKFtCt8cECei0WLKCHN5ELoSd+KBoCyHnYxV/+AkyfbgVeWQmMHx/+hRi5qA8fxsh6VPE3diwwbpwV1uDBwIwZkYXJHSsQ4PGX36lhOn+mz190yj7TsTZ9rJC59PzzwGGHWT+1EEfj/Sw+D25AH9+oUz6mx1Iv+dOYkLEzx2LcrHEY1msYJn8wORmpFMP3uOdFDHp0TrLugx6tsev/louXKJcnv0Af0GUAZnxvTQpnnzI7JsZz0RMBHn968uI2KmP5u/hi4B//YAHdbSLUdzsW0J0ZwAJ6LSYsoCeTgwV0+zhhAT2GBgvoyaRgAd0aHyyg12LBArpR00t+KGoUnTm7mFGjxNaJEyx3++4LvPZazty7dmTsot41AvltqOJPPrOXz+4TRT7juPnm/L5WE6Pn8ZffrJrOn+nzF52yz3SsTR8rZC79+CNQXp7605dfAt2765R6rmKpl/y5QiZ8I/nlef8p/ZMdD/nTkJgYnviS/P0/l6HP/GXJ32ce1Qf9n3gbk2dNTjkDPSG+jxk4BmMHjQ3/QrhH1wjw+HMNlZaGxvK3cmXsTLpF4sUwPgNdy9TTK6gUAf3KaqBV2gSpFRGvF+Go/Trygtt2sv4gJgzKsJS0bUfUd8QS0taLjzI4Y5BOKR+UQCRtS7DCEUcrrCJjK17txKJojSIfflXUU3Cuz0FOFRI+Giv8EsL6lpa07c9taCer4EysGpSSTmoEyullMTqStksFe07bDqRtdfIWaf28ROF3IWErW/30IxHHAgVwVUQYVJ00k4dwpBeV7U+ELVUnzZzpWts4foZQahF/TBSMOKspUV1aUSoa1ZeiKxQpftiKqBdvRJNFVS/2nnUURX/UfZBOV1pYV90z0263sXC82Ep7Dz6al4u9T9NKu2b0fbCUSBb1fTC+nZa9UO3l76r7I1VfjLUko1S9yrYJnLnZFL+Rfqn6hviDtG0I+sbbiLBX2W61aZPDd+FGZ500arhus8OWEuulUQE17FSCNt0dPXRVf2so3/SffpCwqfz+QkCfZrtIpF7F2XG76upq8YyHGhAkhVzpAQF+KOoBrHpkKrdsP/JI64Jbib+Vch1aUBAuCMYu6sOFMbLeVPxts404A/N7K6wHHwROOimyMLljBQI8/vI7NUznz/T5i07ZZzrWpo8VZS51FM+7ltievT7yCHDCCTqlnqtY6i1/rtAJ3yh923Ypht990N2xQH5qWYj2a6xnH3MnnIu5fTvjmXnPxH6fv3Y+rhl8DUb2G4nENvDhXwH36AUBHn9e0NLP1mj+5Bfo4i1tFtD1yzvtImIB3UkJC+i1mLCAnkwOFtDt48QploIQKeMtWECPweBFFPdiK32zgB6DmAV0a4yygK7dVCvvA+KHonlPYSAX8MMPQJcuqa4XLAC6dg2kO6VToxf14UIZSW8Uf2vEC8Yt017O/egjYNddIwmRO60DAR5/+Z0epvNn+vxFp+wzHWvTx4oylw45BPjPf6yfL7hAHFJ9q06p5yqWesufK3SiMUoX0eUX6Kd2GIq22/ZMCeiG+07G6MWPYdfi+CTwyN5H4rL+l0UTNPfqCwEef75g06aR0fz98QcWiV1VKqqqYnhH8VFOwRZRtGGbA1EiwAK6ExoW0GsxYQE9mRwsoNvHCQvoMTT4C/RkUlBfpvMX6NaY4S/QbfcP6mtz/gJd+1kqPxTVnqJIApQrvXbtxOY2tt1tnnwSOOaYcMMxelEfLpSR9EbxN0ccfdnf2t0TW4mNh34Ru5I0ahRJiNxpHQjw+Mvv9DCdP9PnLzpln+lYmz5WlLl0zTXAVVdZP/ftC8ydq1PquYql3vLnCp3ojNJF9Js3/QUXX2OdB/VLQ/FCZSVQWFgUE9BP2uUkDBs4TPyb2kI1uuvgnutGgMdffmeI6fwtuu8+VJx5ZowkFtDzO1cDjZ4FdCe8LKDXYsICejI5WEC3jxMW0GNosICeTAoW0K3xwVu412LBW7gHOncL2zk/FA0b8fzpb+hQ4OWXrXiHDwcmTgw3ftMX9eGiGX5vFH933gmcd54Vy047AZ98En5s3GNmBHj8ZcZIZwvT+TN9/qJTbpmOteljRZlLr7wCHHCA9XOTJoDcJka+2ZZHpd7ylwcc2UX0UW8C179uBT1X7Kvc7zSgqKAIt/S7BUf0OAJt27ZlAT0PeLWHyOMvzwhLC9d0/haJoyArOneOXTUL6Pmdq4FGzwK6E14W0GsxYQE9mRwsoNvHCQvoMTRYQE8mBQvo1vhgAb0WCxbQA527he2cH4qGjXj+9Cc/SpIfJyXKoEHAG2+EG7/pi/pw0Qy/N4q/M84A7r/fikUetyqPXeWiHwI8/vTjxEtEpvNn+vwlwfXChQsxbdo0zJw5E/Pnz4e8bsltaWkpevXqhWOPPRZHHXWU0DyDEz1Nx9r0saK8b8hthoRgmVJEjmGXXbzcaiK3rbf8RY68uwASIvrTTwNHfW61uaMPcP6BwA2Db8CJ3U6M/cACujtMdbLi8acTG95jMZ2/qOcvvIW795yMpAUL6E7YWUCvxYQF9GRysIBuHycsoMfQYAE9mRQsoFvjgwX0WixYQI9kThdUp1EvKoK6roRf0xeFQeInj8WUx2MmSnExsGoV0KBBkL2m+mb+wsM6iJ4o/vqIB6bz5lm9TZoEXHppEL2zz2wR4PGXLYLRtjedP9PnLzJ7rhJvsl177bXIdIJm7969MXXqVHSu/coq15lnOtamj5U682GbbYDvv7dMxHa3OP30XKdQoP7qNX+BIps751JEP/Jvlej6s+XztL8B242YgOF7Dcfy5ctjP7CAnjvMw/LE4y8spIPpx3T+op6/sIAeTN7m3GuKgH5WNVBcntpHK6LLnAhHzqfrbTstI6+PErTbYanClvbREYsd9l58UDFIh5Rw1AriySFRSmA7JLL29+LVtMpQJHZFIsuvRK1KqNhI2G5S+KWOkFG9oEwJ6y1ovxua0fWrWjZ3/FAj0KTKCqK+RqFeLkYHh4tlKCP9LkZHR73YuMO1rTSs3uS0X1nl9BtzuqDA6btKwQdVv0hhS9WrbH9S+BDnSjqLKgkpAX2twjHlg0pM2XyDwgdVXURUqhJWkZwQ2485ShtFDET9VgSfsjV1f2yvcEvZpt2Cky1VPqh6Lz7KadxbtnfyXNKI4l5esvPeRt0b5bWo7o9UvdrWtqqqBagYdA42xe8O8NW2vzlsmxDtpVEj0Ad3N8QfDh9ebFXnpVPCfCHoG3qjTc7YCjfStoUbN5PJ2Yi4vIJciOKUD9UZ6JRt2t/ARSL1Kk6KX0IU2y15uGnltWnUi4qgwTN9URgkfovF9LpTp9QevvwS6N49yF5TfTN/4WEdRE/p/G3ZUojmYpmw3va3Yfp0YMiQIHpnn9kiwOMvWwSjbW86f6bPX2T2nC6EzAceeADNmjXDYYcdJu6VQ9CtWzc0btwYX3zxBW677Ta8//77sUST9R9++KG4xzqfxWSbiaZjbfpYqZP/Y44B5KfBiSLPir3nnmxTJtT29Zq/UJH239nqJVVo2fFPKQ4GnN8cb962NrajBgvo/rGNuiXzFzUD2fVvOn9Rz19YQM8uP0NrzQK6E+oyOEV4FtBtOLGAngSDBfQEFCygJ5OCBfQYFCygW/dMFtBtfz9YQA9tfpfLjqJeVOTyWihfpi8Kg8avo3hvcMkSq5dHHwWOPz7oXi3/zF94WAfRUzp/X35ZCHnmub3Ij47ETsRcNESAx5+GpHgIyXT+TJ+/SKpHjhyJkpISnH322SiW28CkFcnxcccdJ/TPuAB69dVXY/To0R6yxJ2p6VibPlbqZHniROCyyyyT3XYDPvjAXWJoYlWv+dOEg0xh3HTdwbj0yheTZuvFR17Fo8RRUfvzF+iZsNP9dx5/ujNUd3ym8xf1/IUF9DwZHyygO4liAb0WE/4CPZkc1Nfq8kcW0BMQsYCeTBYW0GNQsIBu/W1hAd32d5YF9DyZHaaGGfWiImjQTF8UBo3f38T2ii+8YPVy0UXALbcE3avln/kLD+sgekrn78knCyHPPE+UcrGrTrXYJI2Lngjw+NOTF7dRmc6f6fMXtzzX1NSgo3jb7Y8//kDPnj3x8ccfu23q2s50rE0fK3USPXMmsM8+lslW4kHhWvH8R+xykC+lXvOXByTJ7duXX12JSa9Zwc4Tm4v2OSv+bz4DPQ9IrCNEHn/Mn84IRD1/YQFd5+ywxcYCupMoFtBrMWEBPZkcLKDbxwlv4R5Dg7dwTyYFb+FujQ/ewr0WCy/bsnux5S3cI5ldRr2oCPqieVGfHcLiYzaMGWP56NcPmD07O59eWjN/XtDSzzadv1GjCiE/dkuUgw5KfUFDvyuo3xHx+Mtv/k3nz/T5i5fs69OnD+bNmxfb6v2XX8jz27y4c9iajrXpY6VO8qVY3rIlsGWLZfbOO8Aee2SVM2E2rtf8hQm0j76keF45oxKPPQMc96nl4Nn+bXHEkPi550UFRbil3y04oscRfAa6D4yjbsLjL2oGsuvfdP6inr+wgJ5dfobWmgV0J9QsoNdiwgJ6MjlYQLePExbQY2iwgJ5MChbQrfHBAnotFl5EcS+2LKCHNj+0dxT1oiLoizZ9URg0fi+9BBx4oNVL06bA6tXiz6RqHpnjgJi/HAMasrt0/g44oBCv2b5AuvJKsX3nNSEHxd25RoDHn2uotDQ0nT/T5y9ekkp+ef7JJ5/Etnlfs2aNl6aubE3H2vSxkpHkHj2AL76wzG6/HTjvvIzNdDGo9/zpQkRaHAnxXFZ/IVJqe9ujxlmjjsM7Q3vGxHUpoO9avCtO2uUkDBs4DIWFYn93LnmDAI+/vKGKDNR0/qKev7CAnifjgwV0J1EsoNdiwgJ6MjlYQLePExbQY2iwgJ5MChbQrfHBAnotFl5EcS+2LKBHMruMelER9EWbvigMGr9ly4CystRexDN6xznWQcXB/AWFbDh+7fyVlrYV2wwXQp55nijPiC+SjjginFi4F+8I8PjzjplOLUznz/T5i9tcWib+UHfq1AkbN26E/BL9vffec9vUtZ3pWJs+VjISfdJJwMMPW2by3w8+mLGZLgb1nj9NiJizcA76dRZbVYliF8+bi+cBq8cDDWxxfvbiFOx44Mkxu9Gvj44J6LIc2ftIXNb/Mk2uiMNwgwCPPzco6WtjOn9Rz19YQNc391MiSxHQjxIHzDUTB83ZSyviQqg6adaesKXOA5Zmad3EWrbfQKLWplw8mUsrHQsXk7btsJSs74gljvoyhS3lgxLVpUPKh5ezf1thFRlvq9X0tlpFaeJBrDFVJ+spUYI6f1aVqyoBnapvpnCiqP+1pX1qFG+7qhGdWKvgrF8BOrGWoZ0jkKWCJapQovhiiIN2iLIEHcn6alQ46hevp21XLyAGSJUCtwVEvcp2EWFL1UkzVf1PhI+Nti26Un52jkeAEtVlI+ps9N8VF03V0/cE2kGRwq8qkZsQ9i0UPoqJ+hKFLeGjucLUy3np1P1VuqXqg7Itp28gbdo7+W9VSN/bKLFdXgZ1L1TeH4n7ZjGZawBVr7Jtgt8cRBWDvhc3JWxl44bEjbcp6JynbBvhDzJZsrUtxCbSr6f+1itiW7fZ4btIJYpT9aq/YRT0ae0XidtRxeHx7qvFIbnl8rBcLjlHIOpFRc4vKM2h6YvCoPGT/rfeGli40OppyhTg5JPD6Blg/sLBOahe7Pxt2NAWnTunflW0QMyJu3YNqnf2my0CPP6yRTDa9qbzZ/r8xW32jBgxApMmTYqZTxRnZAwfPtxt06SdxLKusmTJEuy+++4xk6qqKuPm5HKsrFixInZ9paWl9e4L2II77kCDiy5KpsAW8UX65v/9z3MeRdWgvvMXFe72fq9981pcN/s6XLvPtbHqK98QWwzVlgkND8Qlo55P/nuDeFy8vmY5mhS3xk1v3YRxM8ehZ3HP2O//W/s/jBk0Bpf2vVSHy+IYXCDA488FSBqbmM6fnN906dIlxkAUzxRZQNc4+e2hsYDuJIoF9FpMWEBPJgcL6PZxwgJ6HA0W0BNZwQK6NT5YQI9jwQJ6nkwCXYZp+gNo0wUElzRnZSa/EH72WcvFuecC4llrKIX5CwXmwDqx8/f++23xt79ZArrYaRirxPt4DZzv3QYWDzv2hgCPP2946WZtOn+mz1/c5NO7776Lfv36xb4+ly+afvXVV2gqz1rxWAoKCly3+OCDD8RuIvRHBa6daGa4efNmcTyNOJ9GlJbiPPAG9ewPU5HgtOSgg5KsbBH5sOzrr7GluepLAb0IrO/8Rc3G58s/R+X0SjIMuS37bs/Oxl53PpX8vaqiJRq/9yWmfj4VD338EAoLCrFNk21iv3/3+3fYtGUTJuw7AT3aiqMFuGiPAI8/7SmqM0DT+Vu8eDF69eoVw4AF9PzO1UCjZwHdCS8L6LWYsICeTA4W0O3jhAX0OBosoCeyggV0a3ywgB7HggX0QKduoTs3/QG06QJCGAkzXmy7ePnlVk977AG8804YPfMX6OGgHFwv9vF3//3tMHq0pZYLzQezZwfXN3vOHgG+f2aPYZQeTOfP9PlLptxZunQpevfuDYmDFMCnT5+OwYMHZ2pG/s4Cev0W0LFuHcq6dUOBeBEjUWqmTsWGvn195VPYjUwXgMLG009/CTHc3laK50f0OAKL/29f7Dbzs+RP8wbvjHevOCsmnssiBfTTe5we+//7P78fR+14FI7b+Tg/YXCbCBDg8RcB6Dns0nT+WEDPYbKY7IoFdCe7LKDXYsICejI5WEC3jxMW0ONosICeyAoW0K3xwQJ6HAsW0M2aOZr+ANp0ASGMbHztNWC//ayeGjUSh7iIU1yKVKer5DAo5i+HYEbgys7f+ee3wzPPWAJ6mDsZRHDpRnTJ4y+/aTSdP53mL/IL8KIc/FGcIs5IOdnFGSlrxR/hffbZB/JrcFnGizfdKivpL0DdZDFv4V6/t3CXOdKgTx8UfPRRMl0233ADtlyaH9tom74FsZsxrION3I7dvnW73M5dbsX+fUVzbLvEOi7w3pN74rw/fZEM+bpB1+H4bY+P/XvBugXYe+u9dbgcjsElAjz+XAKlqZnp/PEW7pomnm5hsYDuZIQF9FpMWEBPJgcL6PZxwgJ6HA0W0BNZwQK6NT5YQI9jwQK6brO97OLR6QF0dldCtzZdQAgCs3SfK1eKv4ppfxbluN6dkQAAIABJREFUM9Zddw2+d+YveIyD7MHO34ABZfjmG2ub4PvuA06Pf3DERVMEePxpSozLsEznT6f5S5gC+jrxtfDQoUPxxhtvxDLhkksuwU033eQyK/yZ6YS1vyuou5XpY8UVZmedBdx7r2V6zDHAk0+6ahq1EfMXNQNW/zfMuQGVM6yXeSbsORrDD7gGhVssm71OEztZVcT/PWHIBAzfaziWL18e+3fbtm1RWGgd96PPlXEkKgR4/OV3bpjOX9TzFz4DPU/GR4qAvn810KQ8NXLqSJtWiosrJeqpOmnWnrCl6qRZ+QaHcZtySsQDOhYuJoOjRPGOWELalmGpo55qL43K4IyDai9tS1Dj8FuCFWQMrSAO/CNK8WrrrbzEz0W/Kvig6tcrbK2dmDJnLiWsq8T2ZrS7LUT92pb0Z0o/FzoTrgZ0YtUQouZSwRJVlqGdo3ox6LO6vNRXo3aml+Z98eoOjv7WLWhDA1RFVFN10syL7SIFvT8R9VRdzMw5HkGMmbhH8UTdUdYoghCfqjkK1ZcqBlUSq5KTyrcmithaEPXiYE6yUMK6gmcQMajumV7qVfdSL/fdrG2d9yoJV8tS+t5W0sh5f2yFn0mEqftjMaj8AbzYFuMXR39N8RsZg6q+CWHfFL+79tEQf2Rt2wjOG73KL2UrA6Cuo5EiNsp3o030H5smvzjHtFJsp/6GpdUtEvepir/EIYvivCLFTcC46qgXFUEDavqiMGj8Ev67dhXnEn5n9RaW+Mn8hcVwMP0k+PvllwJst107bNliCejvvw+x/XAw/bLX3CDA4y83OEblxXT+dJu/fPnll1lT3aFDh9gZ3KoihfrDDz8cL7zwQszkdPEW0n3yD3LARTesc325po8VV3jdfz9wxhmW6TbiTOpvv3XVNGoj5i9qBlL7t4voewoZ4u0HrN83iWlg8Sjg94Zx8Xxkv5Fg/vTiz2s0zJ9XxPSyN52/qOcvLKDrle/KaFhAd0LDAnqG5GUBPQkQJayzgG7PHxbQ42iwgJ7IChbQrfFBifAsoNvuHyygazOTjHpRETQQpi8Kg8Yv4V9+iPT001Zv8kOlyZOD7535Cx7jIHtI8Pf++0X429+slxDlx0XyGIAmqncbgwyKfbtGgMefa6i0NDSdP9PnL+lJJc8pPf7448VHwfGvgo8Rf5gff/xxNGhgHY0RVCKajrXpY8VVXsyfD/z5z6mmK8QHQelbELlyFq4R8xcu3m56S4jo57wH3PmS1eLTtsDO51riufyF+XODqL42zJ++3LiJzHT+op6/sIDuJgs1sGEB3UkCC+gZEpMF9CRALKAnoHDu2hD/hQX0OA4soCcyhQV06/7KAnocC/4CXYPJYIYQol5UBI2Q6YvCoPFL+J80CRgxwuqtVy9g3rzge2f+gsc4yB4S/D34YBOMGmV9VbnjjsCnnwbZM/vOBQI8/nKBYnQ+TOfP9PlLeuacIb4Ovl9+JSzKQQcdhGeffTYn5667yVDTsTZ9rLjhGBvETmItxM584oiAZHnlFWD//V01j9KI+YsSfXXfUkRve34lThXvZiTKwz2BJXfGvzxPFOZPT/7cRsX8uUVKTzvT+Yt6/sICup5574iKBXQnUSygZ0heFtCTALGAnoCCBXRr1PAW7jEs2vMW7omc4C3crdHBW7jnyeQwLcyoFxVBo2b6ojBo/BL+Z84E9tnH6q1InFIivyBu1CjYCJi/YPEN2nuCvxEjWuDRR5smuxMfUYp/B907+88WAR5/2SIYbXvT+TN9/mLPHnnO+S233BKrGjJkCKZNmyb+/gb8B9gWgOlYmz5WXN+J+vYV+22/bZlfcw1w5ZWum0dlyPxFhXzmfud3KMCutuMjRxxYhIkvph5rx/xlxlFnC+ZPZ3Yyx2Y6f1HPX1hAz5yDWliwgO6kgQX0DKnJAnoSIBbQE1CwgG6NGhbQY1iwgJ5MCRbQrdHBAroWUz/PQUS9qPAcsMcGpi8KPcLh23zNGohzWVObvye2ZezTx7dLVw2ZP1cwaWuU4G/o0Db46CNx4GVtmTgRGD5c27A5sFoEePzldyqYzp/p85dE9o0dOxbjxo2L/bOvEDj/+9//olmzZqEmp+lYmz5WXCfLhRcCt91mmR9yCPD8866bR2XI/EWFfN393jB9HC7ZfyyKNlt2/U8RO2icyl+g68mYv6h4/PnDTZdWpvMX9fyFBXRdMj1DHCygOwFiAT1D0rCAngSIBfQEFCygW6OGBfQYFiygJ1OCBXRrdLCAnieTw7Qwo15UBI2a6YvCoPGz+99+e+Crr6yau+4Czj472AiYv2DxDdq75G/JkuXo1q1M7ApbkOzutdeAffcNunf2ny0CPP6yRTDa9qbzZ/r8RWbP7bffjgsuuCCWSJ06dcJTTz0lXmZLe5stLc26d++e863dTcfa9LHi+k4kt4b5+98t844dgR9/dN08KkPmLyrk1f3K7dufebgS799n2UgdveUo4BexecaEIZaIzvzpx5+XiJg/L2jpZ2s6f1HPX1hA1y/nyYhSBPQ9q4HG5al2zYlmVJ00a0XYliqAaE/UU3XSLC2kWMtyenvgtp2WkR1SonhHLCZt28HpQ2VLi+10DKVY4eiP6isO5c9kbK2wylFfvJrGouhXwgVVJ83WE7YbPSQxJarL5qpdw4gXojcoXpJe27KxI5BVZLIBNXAmXA0oQRNYijKHX0oQl0bL0I4Ew5OADrG4SCvVSytIv5urCDCqFHwsIOoXKWxVPih72zZKKd6caSx+Fp+dkaWGqKXORZdmVP3vCr9UvTiTK+si9pslSxOilqqTZuJcMEdRnYFO1Stst7IeKqe4p+6xubjvUj5U92iq3ksM8oJKnfy1bE/lj7g/NnLeB6l7o3RbDLF/cFqh6qQJ5YM6p1zlV9Y3gTM3Vf3RZ6BTN2OAEuFVsTVE6pZnMi4vtir7huQfCjo2L7aNNtHXTIrtaX/DFok/4xW1X7dWV1ejvJyaMGR9Y6j3DqJeVARNgOmLwqDxs/s/4QTgscesmlNPBR54INgImL9g8Q3au+Rv7tyVGDiwbUpXy8Ryqm1qVdChsH8fCPD48wGaRk1M58/0+YtMpUGDBmHWrFmesur7779Hly5dPLXJZGw61qaPlUz8Jn//8ktghx1SzReJh0ni5Q2dC/OnFztSPK+cUYkz5wH3vGjF9k3bBtjuXOtz9ISIzvzpxZ/XaJg/r4jpZW86f1HPX1hA1yvfldGwgO6EhgX0WkxYQE8mBwvotnHCAnotGCygJ7OCBfQkFCygx6FgAT1PJoEuw4x6UeEyTN9mpi8KfQPjo+E//gFcfLHVsGdP4OOPfTjy0IT58wCWhqaSv3vvXYtzzrHexJbP4eXzeC76I8DjT3+O6orQdP5Mn79IbllAD2cMmj5WXKO4WYibrVuL7ydsH1A89xxw6KGuXURhyPxFgTrdZ0I8l7/e8x/gzA8tuzl7V2DuhHNj4nqiSBF9+F7DsXz58lhVW/F2ZWFhoT4XxJFkRIDHX0aItDYwnb+o54osoGud/lZwLKA7iWIBvRYTFtCTycECum2csIBeCwYL6MmsYAE9CQUL6HEoWEDPk0mgyzCjXlS4DNO3memLQt/A+Gg4Zw7Qv7/VUD7fks9Ymzb14cxlE+bPJVCamkn+Lrzwd9x5p7XF2YEHAi/avkjSNHQOSyDA4y+/08B0/kyfv+iUfaZjbfpY8ZRL8nyVGTOsJpdfDlx3nScXYRszf2EjntrfnIVz0K9zP9jFc2nx8f1F6LnI2onwjXOGYp87pznsbhh8A07sdmLMKQvo0XLpp3cef35Q06eN6fxFPX9hAV2fXK8zEhbQnfCwgF6LCQvoyeRgAd02TlhArwWDBfRkVrCAnoSCBfQ4FCyg58kk0GWYUS8qXIbp28z0RaFvYHw0/FUcs9BCnGQiP1BKlLlzgb59fThz2YT5cwmUpmaSvyFDNootiK1zn/LgWbymaIYfFo+/8DHPZY+m82f6/CWXuZCtL9OxNn2seOJ/lDikesIEq4kU1F97zZOLsI2Zv7ARt/obO3Msxs0ah792/Ste+faV5A/j+4/DxfuNQaNNlu0Hj05Er+OHxyoOePSApH1RQRFu6XcLjuhxBAvo0VHpu2cef76h06Kh6fxFPX9hAV2LNM8cBAvoToxYQK/FhAX0ZHKwgG4bJyyg14LBAnoyK1hAT0LBAnocChbQM8+/8ski6kVF0FiZvigMGr90/zvvDHz6qVUrt3W/8MLgomD+gsM2DM8bN25CezGPqKmxtuN8+mngqKPC6J37yBYBHn/ZIhhte9P5M33+Em32pPZuOtamjxVPuSS3bD/8cKtJy5bAypVAgwae3IRpzPyFibbVl/zyvP8U29ZUtT/JbdkP+70Lttvv2JTAVv74Ldp03MbxBboU0Hct3hUT9p2AgT0G8hbu0dDpu1cef76h06Kh6fxFPX8xXkBfuHAhpk2bhpkzZ2L+/PninLZFsS3MSktL0atXLxx77LFi4X8UttpqK1cJ/9lnn+H222/H9OnT8eOPP6J58+bYYYcdcPzxx+O0005z7cdVZzajFAG9Z7V46l2e6qIx4dHaYS/1R+voOqueqpO/lhJ+KRFGmlH1aWEmvZWvIyFo22mZo74jFpO2VH07LFXYLnHUlylsKR+lqCH9lijrneplMdaSPopXO7Eosh1VlNKIgm2912wi7FXpb31kYjWi6sSv68R8PL2sbUYn4So4E64GJeSFrCDql6GMtF2Mjq7rF6MDabuE8KHyu+jHCqePKmowCrMFRHdVCu5U9dQ5k6qzJ38ifK9S5QqV32JxRRaqXmX7G+Hhd4Vf1Zsg1lZRVsMiD0mvEtCpevE5Hj1Kido2Cls6j8W3fk57Rap4uu96uUdnayuvwJMPJ3fNS+kkbN7MeX9sDdqWupc2V91flfW/OPhQ3aObwpnHTYg66bApnPlNtY/bUn7p8dEI9I2eioOKQdVfQ/xB5nHW17w+9dp+XLQF3bfdEuururoa5eWqyYGHoc2mDgSiXlQETYnpi8Kg8Uv3f+qpwJQpVq1YyuDRR4OLgvkLDtswPC9atAkVFalnWX79NdCtWxi9cx/ZIsDjL1sEo21vOn+mz1+izZ7U3k3H2vSx4imXxPNqsehKbfLVV8B223lyE6Yx8xcm2ql9pW/bLr9Ef/mElzFnzCnod/WDSeOq0q3QZfkGh3gu7Wd8NwMT9pqA43Y+jr9Aj45K3z3z+PMNnRYNTecv6vmL0QL6VVddhWuvvRZbtsQf2qpK7969MXXqVHTu3LlOuwceeADnnnsu1q+nH2Tvueee4hy4F1FSohJQ/I8pFtCd2LGAXosJC+jJ5GAB3TZOWECvBYMF9GRWeBK/FX+vPPlgAV2iyAI6wAK6//mfl5ZRLyq8xOrH1vRFoR9Msmlz993AOedYHuTzVPlcNajC/AWFbDh+X3xxEw4+2BLQmzUD1ogXfjX+kC0cYPKkFx5/eUKUIkzT+TN9/qJT9pmOteljxXMudRQfmCyxfUz0yCPACSd4dhNWA+YvLKTpftJFdPkF+l4THsWAadaWVW/t2QmzJ56PyhmVSSfSbmS/kZhdNRvdGsffrOQz0KPl0k/vPP78oKZPG9P5i3r+YrSAfvrpp0OK3s3ECv+www4T57YNEW/Jd0Pjxo3xxRdf4LbbbsP7778fy3ZZ/+GHH8a+KKfKq6++iqFDh4qzAjejrKwMV1xxBfbYYw+xA85K3HfffXj22WdjzQYMGIA33nhDPEzI7bY4LKA7WWEBvRYTFtCTycECum2csIBeCwYL6Mms8CR+KyaCnnywgC5RZAGdBfSwllVRLyqCvk7TF4VB45fuf948oE+f1NqffwZaqXalyjJA5i9LACNuft11m3Hlldb6tm9fYO7ciIPi7l0jwOPPNVRaGprOn+nzF52SynSsTR8rnnPp0EOBf//banb++RAPwj27CasB8xcW0up+0kX0D/7ZELsttHat++fR3XBaj2+SDhLiuaxg/qLnL5sImL9s0Iu+ren8RT1/MVpAHzlyZOxr8LPPPhvFxcWObJbJddxxx+FpeYCbKFdffTVGjx7tsNu4cWNsm/YFCxagRYsWMaG9a9euKXbyy/S77rorVvfQQw/hxBNPzOnoYQHdCScL6LWYsICeTA4W0G3jhAX0WjBYQE9mhSfxW/EnzJMPFtAliiygs4Ce0wlhHc6iXlQEfZ2mLwqDxi/dv9xQSyxr8IftJAdxQpV44TiYSJi/YHANy+sxx2wWa2ZLQJe7F9x5Z1i9cz/ZIsDjL1sEo21vOn+mz1+izZ7U3k3H2vSx4jmXrr8e4usvq5nYNRVvv+3ZTVgNmL+wkK67n4SIXrgJWDseaGI7bfEvfwem18ohdvFcemT+9ODPbxTMn1/k9GhnOn9Rz1+MFtDdpHBNTQ06im1t/hBPj3r27ImPP/7Y0exf//oXjj766Fj9+PHjUVlpbVWSMP7tt99iZ3r+LD7d2GmnnfDJJ5+46d61DQvoTqhYQK/FhAX0ZHKwgG4bJyyg14LBAnoyKzyJ34o/T558sIAuUWQBnQV015O9LA2jXlRkGX7G5qYvCjMCEICB/AJdfomeKGKZI9Y5AXTED9WCATVEr9tvv0Vs8V+Q7PHee4EzzggxAO4qKwT4/pkVfJE3Np0/0+cvkSeQLQDTsTZ9rHjOpddeA/bbz2rWqFH8/JWGDT27CqMB8xcGyu76kCL6I49X4lNx5JO9lI4AasQxPuniubRh/txhq6sV86crM+7iMp2/qOcv9V5Al2nYRzw9mieeHsmt3n/55RdHZh5//PF4/PHHY/VLxPkx7du3J7N32LBhuOeee2K/ff3117Ft4XNVWEB3IskCei0mLKAnk4MFdNs4YQG9FgwW0JNZ4Un8Vvz18uSDBXSJIgvoLKDnai6YyU/Ui4pM8WX7u+mLwmzx8dNefkUsz0JPlMMPB6ZO9eMpcxvmLzNGulrI5XGLFluwZYsloL/7LrD77rpGzHGlI8DjL79zwnT+TJ+/6JR9pmNt+ljxnEvybJ42bVKbyTcne/Xy7CqMBsxfGCi77+POc3fHuXfFj72V5YeWQJeLafFc/s78ucdWR0vmT0dW3MdkOn9Rz19YQBe5KL88l1+My23e18i38dJK586dUV1dje7du+PLL79UZu8TTzwR2xJeln/+85845ZRT3Gd6BssUAb17NVBUntpiK8IBfZw7QNWrzjuk6un3BwBKWEkLMxmlor5B+a+OC2lXtpREhxLQO2IJaVsGp48OWKywXeaop9pLoxLUkD5KsMJR3wqrSNvWm5z1xaudwpNsXOCEB1inSJ6ghHXx0ipZxFuI6eXXltZWj/bf1jZyHqmwCnQSrhAop5dlKCNDWIp2ZD1lnwuxvRqdHf0t/6EDjU9VkbN+gQLLKkX9IqLeiy0lqkuXzveGRCU97sT7pkQQKxUBU/W/K2y91ivcOKqpm6M0IviASmwXe9w6ijOH4yaUraxPW7jGbKk6Wd/U2Z3qHk3dd6k66dGLrZf7fC76K93iuObGpWLBTyHf0pmwxVhL2raCwgeR9Cqhm/LdBL/RsRFxNAWd21R/Kr9B+VBdMxWHKgYKn3S/ixdtxu4V8b91cj4ld+zhknsEol5U5P6KUj2avigMGj/K/5QpwKmnWr+IJQ9++CGYSJi/YHANw6s867xfP6unwsItWLu2AE1U06YwguI+PCHA488TXNoZm86f6fMXnRLKdKxNHyu+ckk8xxZfeFlN5ZuT4uMvHQvzpxcrsw7ZBQP/879kUM9tD5x+ShvUXEY/B2f+9OLPazTMn1fE9LI3nb+o5y/1XkBftmwZOnXqBHnOufwS/b333ksZAfKLdHnu+ZYtW3DIIYfg+eefV46Qjz76CLvttlvs9xEjRuDGG2/M2WhiAd0JJQvotZiwgJ5MDhbQbeOEEttZQLcBxAJ6DAyV+M0CejJXWECPQ8ECes6mdIE5inpREdiF1To2fVEYNH6U/08/BXbeOfWXpeL9uXb0+4hZhcj8ZQVfpI3vuAM4/3wrhJ122iJePre+Ro80OO7cFQI8/lzBpK2R6fyZPn/RKbFMx9r0seIrl044AXjsMaup/NBLfPClY2H+9GLlgz81Qq+qP5JBXT5YHGs7gL9A14ul3EXD4y93WEbhyXT+op6/1HsBXQrdkyZNiuX2xIkTMXz48JQ8l1+c77DDDrG6c889F3fIJwiKsmLFCrRt2zb267HHHgv5RbrbIhOhriK3jt89sU8ef4Eeg4oF9NqMYQE9OXRYQLfdRVhArwWDv0BPZgV/gZ6Eopi/QI9hwV+gu52l5Ydd1IuKoFEyfVEYNH6U/02bgJZiO8ZfbTscvfgicOCBuY+G+cs9pmF5lLsUyN0KEuWEEzbjkUfoXabCion78YYAjz9veOlmbTp/ps9fdMon07E2faz4yqXbbgMuvNBquuOOgHyDUsPC/OlDyoQ3rsWF+41Gk41WTPuJdzFe2zb+bz4DXR+uchUJj79cIRmNH9P5i3r+Uq8F9HfF4W39xH508utzuZ3oV199haZNU7fOff/995PC9ciRIzFhwgTlSPj999+T7Q866CC88MILrkdNQYGHt/hZQI/hygJ6bXqxgJ4cZyyg2245LKDXgsECejIrWEBPQsECehwKFtBdT9PywjDqRUXQIJm+KAwaP5X/AeJLktmzrV/HjAHGjs19NMxf7jENy+Of/wzMn2/1dtNNm3HJJSygh4V/Lvrh8ZcLFKPzYTp/ps9fosscZ8+mY236WPGVS++8A+y1l9VUPntevRriDFNf7oJsxPwFia573zfMuUFsWlCJ/01ObTP+uUtx+cc3JSvTRXTmzz3GOloyfzqy4j4m0/mLev5SbwX0pWJ/wt69e0MSIMXr6dOnY/BgsR9JWpktnigNkE+WRBk9ejSuvvpqZfZu3rwZhYWFsd+HDBkS8+m2sIAeR4rPQI/jwGegWyOHz0C33UX4DHS3t1SbHQvoSTBYQE9CwQJ6HAoW0H3cUjRuEvWiImhoTF8UBo2fyv+llwI332z9OnQoMG1a7qNh/nKPaRge168HmjeHeOHc6m3GjE1i3Rxf83LJDwR4/OUHT6ooTefP9PmLTtlnOtamjxVfubROfHEjxXL7H/KZM4GBA325C7IR8xckuu58S/G8ckYlTvlQ7PT/H6vNwjaF6FyzEYnfE7/YRXTmzx3Guloxf7oy4y4u0/mLev7y/+x9eYAVxdX9YRMUkJGBGRgHQhLFzyXq574MCqJxT4z7FpdEDUZjFFDGDQZXXJBEsvwUFRONinH53ImKgBLRiEajojEhjg4MzsCwCMgOv6p+87r7vb41r7fqbiq3/lFqbt1bfc6tflV9uqsyIaDLL8A7daLOo/WXJHmryWJvufPOO69koxUrVmDIkCF49913Ldtbb70VtbW1ZLukvkAPtIX7gAagY3VhfymNqIsCCqq+TGFL1avOzKXqVefoFnXfjk7Ud6r+muxcVXmjp74S4uBGovQFZdtM+yVsKxR+K0H7KEeLx3cvLCbjlWGZp777xhWkLSWst3Ntu1nQiPoyXTwEi1xUemRXr+fNRJ20+qar96uVZZ3pJFwGb/1ixcHNLSgnL4/6Mr1R7GFAlYVEvcqWqlfZLprXzxuuXrHzRL2CJao+iK3qDHRKmF+zWdEJKufpcQcsIXzQ4xlQ1a8mfFB1kTNbOFD9Dm1NOKfqpNm2io5Qb3j3VNhSeayyJfqsukcHuZ8nfgY6AYXqd4m4vvZl9I2wrJf3/iojde/gvcdSZ51btvBvuzW+8d7Pie3ipRElXqv6QPnN+fCOBZUoHuQs97j9Ns1fjyP75W5WDQ0N1q4/XOJHIO1FRfxXVOjR9EWhbvxU/h97DDjjDOev8jQqeQ56kM2x/PSd+fODUvZs3hMPUPfeu7BfLS0b0VM8SOWy5SDA42/L4Yrqqen8mT5/yVL2mY616WMldC7JH3L5g54vt98OiONMs1aYv+QZmfXlLNT0r7ECu8Xx34ojnX4+x+nPmwdsj4Nm5x4cqkR05i95/uKMyPzFiWbyvkznL+35y3+dgL5GvH13jPi0Yvr06VY2Dx8+HOPHO1uQFKd4Umeglxpa7kQBC+gWXCyg57KGBXRn9LCA7rqT1BN3FRbQS9xqWUC3AWIB3YaCBfQcFFGEeRbQS83y4vl72ouKeK5C7cX0RaFu/FT+580Ddmg9zzBvUy/mEN/6Vrw9Yv7ixTMpb/fdB1x4oRNtwIAN+Pe/29m7riXVD44TDQEef9HwS7u16fyZPn9JO3/c8U3H2vSxEjqXhg0D7rnHaX7KKcDjj4d2p6sh86cLWdpv3Yw6jJ051jrPXBb55Xm+/P3+rbBnwzr7368NOxKH/X6q9e9iAV3WSR8jDxyJRYsWWTa9xRu5+R16k70qjhYWAR5/YZHLRjvT+Ut7/pIJAV2mmhSqo5a+ffuiR48eSjfyS/cTTzzRPpv8ggsuwKRJk9oMu3LlSrHbTe7LwR/+8If4v//7P6X93//+d+y1117W368Ub/PdLt/qi6mwgO4FkgX0HCYsoDu5wQK6a5zUEzcfFtBL3JFZQLcBYgHdhoIF9BwULKDHNKHT6CbtRYXGS7Ncm74o1I2fyv9mseFML7GzxxLXpjF//jNw8snx9oj5ixfPpLxdcgnwu9850Y4/fjWefnorfiiaFAExxeHxFxOQKbkxnT/T5y8ppQ0Z1nSsTR8roXPpgQeAn/7UaS7fkpRvS2asMH/JESK/PB80eRAZcNygG3D590ej80bnz3Meug37nH0VKZ7nrV4/93Xs2GVH658soCfHZVyRePzFhWQ6fkznL+35S2YEdN3pJc8nP+uss/CY3KdQlNNOOw2PPPII2rf3biVd3Jf+/ftbW47utNNObQr9jz76KM4880yr+QNignL++efHdlksoHuhZAE9hwkL6E5usIDuGifUeogF9BIoC7/5AAAgAElEQVT3ZBbQbYBYQLehYAE9BwUL6LFN6bQ5SntRoe3CWh2bvijUjV9b/o88Enj5ZcfiqqvE1yW3xdsj5i9ePJPyduCBwFtvOdGuvnoFbrxxGxbQkyIgpjg8/mICMiU3pvNn+vwlpbQhw5qOteljJXQuffQR8L3vFTaX5/VUVIR2qaMh86cDVbVP1ZfkJ64egB2/f3pBwyUL5mHSf/5c8JW6+8v1MYeOwfWDrucv0JOlMNZoPP5ihTNxZ6bzl/b85b9GQL9Q7D13n9yDTpTjjjsOTz31lO9z16UoLsVxWRYuXIg+fWhlYZjYFuee1m1x/vnPf2LgwIGxDRgW0L1QsoCew4QFdCc3WEB3jZN64vbDAnqJezIL6DZALKDbULCAnoOCBfTYpnTaHKW9qNB2Ya2OTV8U6savLf/XXQfcfLNjMWQI8Npr8faI+YsXzyS8bRRfHsmN2FavdqI98sgSnHpqDxbQkyAgxhg8/mIEMwVXpvNn+vwlhZRRhjQda9PHSuhckj/ocrfWVascF8+LQ66PPTa0Sx0NmT8dqLbtkzrPvGbqXBx88x/thp/36ojHn77JI56Pqhll2eTPUWf+kucvzojMX5xoJu/LdP7Snr/8Vwjo8pzzCRMmWNk7dOhQvPDCC+jcubPvbH5cnA0jv1iX5dZbb0VtrXMuSN7JN998g+rqaixduhS77LILPv74Y9/+/RiygO5FiQX0HCYsoDu5wQK6a5zUE3cWFtBL3G5ZQLcBYgHdhoIF9BwULKD7ma2la5P2okL31Zu+KNSNX1v+n3kGOOEEx2LbbSHWNBA7dcXXK+YvPiyT8jR3LrDrroXRPvywGTvvXM4CelIkxBSHx19MQKbkxnT+TJ+/pJQ2ZFjTsTZ9rETKpUMPBV5/3XExejQwdmwkl3E3Zv7iRtSfv2IR/elpFTjhjWa78Yt798Cxxy+3/y2/PM+L5+4IzJ8/vLNqxfxllRl//TKdv7TnL8YL6HV1dWJOkJsUHHTQQWJ7wpfRtWtXf9nXarV+/XrxoGBnzJs3D9uKJ0rvvfcevvvd7xb4uEQcEPe71gPiJk+ejPPOOy9QjFLGJQV0ykFHhdcuRD1VJ83KCFuqTpqJ8xM9RSXCqOqrCR9UnTDrUu06rLG1WVWPheRFV6HRU18JsWURUfqSts7kwd1E5aMCXvtyLCbj9UKLp74My0jb7mtXeOq7Lt9EE+16udQ2WKvIiQ2lMtDH36l3UhR5tZkYgit60OLlig7i05eishjlZIdayCSEQNhr34RK0kcjqjz1zaC3tqJsG9CP9rvR63dJvbfOavzvdjTg9UQ1VSfNqPr5Ch6pepXYvkYclkogRHumxph33ObaesdBrt6b8+JbKMWFrCfq40hu6maqEtu9+Zrr1NZE34RCQRaqvqfClqpX2HYk8irI/Vz2gLrPU3Vx2Abpm6oPCh/te3lvkN3LqFwTX9919tZTorq8ZKq+G5nDUpD25rHKbzDxmh4flO9gfr8hc5D2W9iHRfPX4vR+71nt5ZE48oVDLvEjkPaiIv4rKvRo+qJQN35t+V+wAGJcFlp8+inE8VXx9Yr5iw/LpDz96U/A2Wc70fr23SjWwYv4XMukCIgxDo+/GMFMwZXp/Jk+f0khZZQhTcfa9LESKZeuvBK4807HxVFHAS+9FMll3I2Zv7gR9e/PLaK/+/+AvVzPA0d8H7jroJwvlXgu/8b8+cc7i5bMXxZZ8d8n0/lLe/5itIA+ceJEXHbZZVa2bb/99pgyZYrYtUZsW9NGkeecd+rkFUZefPFFHH/88ZBnqVdWVuI6sdfhfvvtZ31xPmnSJDz55JOW15qaGsyYMSP2t/JZQPeSxgJ6DhMW0J3cYAHdNU7qiRsdC+j+Zx8Fliyg23CwgG5BwQK6M0BYQA95W9HQLO1FhYZLKnBp+qJQN36l/FeJd/rESVV2eeihQvG0VPtSf2f+SiGUvb+PGCEemN7l9OuII9bgj39cxgJ69qgq2SMefyUhyrSB6fyZPn/JUnKZjrXpYyVSLomdVcXWqo6LcvGRyaJFYktLxccbkYKFa8z8hcMtrlZSRB8ztRYrbgU6ub7TOvQ8sXnBgLbFc9kH5i8uJtLxw/ylg3tcUU3nL+35i9EC+uDBgzFz5sxAufj5559jwADxy0AUKZRfeumlWLduHfl3KajL7eF79VJ9CheoKwXGLKB7sWMBPYcJC+hObrCA7hon9cT9hgX0kDdhFtBt4FhAt6BgAd0ZSiygh7ytaGiW9qJCwyUVuDR9Uagbv1L+f/hD4NlnHSv5DvKvf12qlf+/M3/+scqK5WGHAdOnO70ZPnwlrrxyJQvoWSEoQD94/AUAK4OmpvNn+vwlSyllOtamj5VIuVQvHhB9+9uFLsQuq/jOdyK5jbMx8xcnmuF8jf/1aRhxuXjZorVIHb1MnGJ77bH0tu3uKMxfOMyz0or5ywoT4fphOn9pz19YQC/Ky7YEdGn60Ucf4e6778a0adPQ2NhobQcvt3c/66yzcMEFF6BjR9W+6eEGQL4VC+he/FhAz2HCArqTGyygu8aJWB95CgvoIW/ELKDbwLGAbkHBArozlFhAD3lb0dAs7UWFhksqcGn6olA3fqX833QTcP31jtWBBwJvvlmqlf+/M3/+scqC5WZxYk9PcSLMMtepUg88sBRHH72WBfQsEBSwDzz+AgKWMXPT+TN9/pKldDIda9PHSqRckj/sYjdV66vzfHn0UeD00yO5jbMx8xcnmuF8/fXqs3HwOHGGT2v5RDz/qbmyJ1quUh256MRh/sJhnpVWzF9WmAjXD9P5S3v+YrSAHi7lstmKBXQvLyyg5zBhAd3JDRbQXeOknriXsYAe8gbPAroNHAvoFhQsoDtDiQX0kLcVDc3SXlRouKQCl6YvCnXjV8r/X/4CyOMw86VLF+Drr8UWjt6TrUq5Iv/O/IWCLbVGYlM2z0dp77zTjOrqTSygp8ZK+MA8/sJjl4WWpvNn+vwlCzmU74PpWJs+ViLn0rHHAuJ4UrtccUXhWS2RA0RzwPxFwy+O1s/WVOAHf3Vesnhod+CcE0tv3y5jM39xMJCeD+YvPezjiGw6f2nPX1hAjyNLE/BRUkDfEKAT4oGYp1B10qgbYUvVSbMgwkofRX+p+mqFLVHfY8BXpHFV50ZPfQWaaVt4bSvRRNr2JWylYSXhuxyLSR+94H2Tr5yok43L4PoMpNVb91UrSb9dlhPVaxVYquqpvFLlGqUxdlbEI/Jtc1fadkUP75PbpR3KSONlAiGqUMJ6EypI22bBXnFpIuqkTSP6emwXQhwiSpRGor5xI2275N/b02DUE9VUnTQLYksJ6yqxnRpia8TbzGRZQNQuUdjSY0w8vifsVyh8rCbqqTpptl7hw2+1SlFQ7UKyNeGYqpNm2xK2VJ00607Yik/GyCLOOfMUhV/VbwI1xFSnllD19BAN9vsR1a/EIMh1lK3xoNatjM7Bbl299UHE9u6g7+dBfGyDb0j2KR/dQF/HNvCOG1UfqHjFti3zV+PiftOsfjU0NAgBRvXD7nf8sR2FQNqLCt2smL4o1I1fKf8tYjpafArV3/8O7LlnqZb+/s78+cMpK1ZPPgmcfLLTm549N4ud2Jqso1J79+6NDh06ZKWr3A8fCPD48wFShk1M58/0+UuWUst0rE0fK5FzaexYoK7OcXPwwcCsWZHdxuWA+YsLyXB+5BnoR51ciz1cj+Z+KV6uvfuAnL9xQ9vexp35C4d7Vloxf1lhIlw/TOcv7fkLC+jh8jLxViygE5CzgG6BwgK6kxssoLvGST0xZqg6acYCeoh7OgvoNmgsoNtQsICeg4IF9BC3lBiapL2oiOES2nRh+qJQN35+/H/3u8B//uNY3nsvcOGFflqWtmH+SmOUJYvrrgNuvtnp0dChm/Hww7knqiygZ4kpf33h8ecPp6xamc6f6fOXLOWV6VibPlYi59LUqRBnsThu4t5uKGIHmb+IAEZoLsXzsS/V4utbgY6u72NuG3c8atc8Z3tuS0Rn/iIQkIGmzF8GSIjQBdP5S3v+wgJ6hORMsikL6ATaLKBboLCA7uQGC+iucVJPjBmqTpqxgB7ids4Cug0aC+g2FCyg56BgAT3ELSWGJmkvKmK4hDZdmL4o1I2fH//yGMwpUxxLKZ5LET2OwvzFgWJyPo45BnjpJSfeiBGbMHJkbvcuFtCT4yGuSDz+4kIyHT+m82f6/CWdrKGjmo616WMlci4tEbsBlhftSjdnDrD33pFdx+GA+YsDxeA+pHheO60WBzQAs+932m8Uuw6tWtyI38/9o/X3fFGJ6MxfcOyz1IL5yxIbwftiOn9pz19YQA+ek6m0YAGdgJ0FdAsUFtCd3GAB3TVO6okxQ9VJMxbQQ9zXWUC3QWMB3YaCBfQcFCygh7ilxNAk7UVFDJfQpgvTF4W68fPjf/x4CJHUsdxjD+D99/20LG3D/JXGKEsWfcUpRV+5ju3505824bDDWEDPEkdB+sLjLwha2bM1nT/T5y9ZyijTsTZ9rMSSSwMHAv/6l+Pqt78Ffv7zWFxHdcL8RUXQX/tZX85CTf8ayzgvnsv/v/RtYKLr5cnP+m6FgY258z7ddvLflIjO/PnDP6tWzF9WmfHXL9P5S3v+wgK6vzxM3YoFdIICFtAtUFhAd3KDBXTXOKknxgxVJ81YQA9xj2cB3QaNBXQbChbQc1CwgB7ilhJDk7QXFTFcQpsuTF8U6sbPj/833gAOOcSxlMdcL18OdO3qp3XbNsxfdAyT8rBwIVBVVRjt4483omfPRVYlf4GeFBPxxeHxFx+WaXgynT/T5y9p5IwqpulYmz5WYsmlH/8Y4kwWx9U55wB/+EMsrqM6Yf6iIli6fd2MOoydOdYSwGVxf1n+3NSeOO4tsUtBa3l9yHdwyGvzrH8VC+iyrlhEZ/5K459lC+Yvy+yU7pvp/KU9f2EBvXQOZsKCBXSCBhbQLVBYQHdygwV01zipJ8YMVSfNWEAPcZ9nAd0GjQV0GwoW0HNQsIAe4pYSQ5O0FxUxXEKbLkxfFOrGz4//VauAHj2AjRsdaymq1+Q+UolUmL9I8CXa+MUXgWOPdUJ26wYsWbIRLS0soCdKRIzBePzFCGYKrkznz/T5SwopowxpOtamj5VYckl+cX7ppY6rnXYCPv00FtdRnTB/URFsu7388nzQ5EGkkRTDTzp1DHZYmPviXJbpI07CkDufIMXzvM0b579hf83O/OnlT7d35k83wnr9m85f2vMXFtD15m9s3mMV0KledVF0laoXD1HIUkbUBhFWZPM+hA9CKLesqPrq9WTXen9LfEpRVCrRRNpWodFT35eok0aVyG1l6Md3RQDbcrQoIF7qqS/DMtK2+/I1nvpOXyu485rmDJ25k9Nwg8IHVd1RYUvVK75u2kzUr+hBi5dLO1BJCIGQt74FdHI2ocLT6WbBNFWaiPpGiD0vibIQRZ/yCJtGok42bVjbj/SxvJ4YIPUKjKn6ILaUqC5DUfWuLT4LerNmM9E5esxAMR7FI1vCBz0+gBWErSrpqUReHSC5g5puTTRQDRDKdltFQKq+ewDbngpbVf02Xvs4fhOC/H4EsVX9BgXxQdnStxqgl/dm2q2MyksgqtguieiOlR4+isXrvAFVH8R2a3xD5oofv0vnr8K1/Z6w2jc0NKC6WvXDHnRcsb0bgbQXFbrZMH1RqBs/v/733BP44APH+s47gREj/LZW2zF/0TFMysNNNwHXX+9EO/hgYObMjVi0iAX0pDiIOw6Pv7gRTdaf6fyZPn9JNlvajmY61qaPlVhySZ55vu++ha7k2ejbbReL+yhOmL8o6Plrq/qS/NJdzsPWvfqgvesR3j+euRcv9VziOf9cRpJfro85dAzqBtfZgZk/fxxk1Yr5yyoz/vplOn9pz19YQPeXh6lbsYBOUMACugUKC+hObrCA7hon9cSYoeqkGVXPAnrM930W0C1AdQnaQV/WYgHdooMF9JiHecru0l5U6L580xeFuvHz6/+ii4BJkxzrU08Fpkzx21ptx/xFxzApDyedBDz1lBPtF78AJkxgAT0p/HXE4fGnA9XkfJrOn+nzl+QypXQk07E2fayUZtiHxbp1wLbiJfy1rq9lpk4FjjzSR2O9JsyfXnzz3qnzzI/+qht2P8XZmWB9e+DOqdfjmjdvtDvl3rLdfY563oD5S4Y/XVGYP13IJuPXdP7Snr+wgJ5MHkeOwgI6ASEL6BYoLKA7ucECumuc1BNjhqqTZlQ9C+iR79uFDlhAt/BgAd1OC/4CPeYhxu6Q9qJCNwWmLwp14+fX//33Axdc4FgPGAB8/rnf1mo75i86hkl5+Pa3xdTQNTd84AHgnHNYQE8Kfx1xePzpQDU5n6bzZ/r8JblMKR3JdKxNHyulGfZpcdBBwOzZjvHYscDo0T4b6zNj/vRhW+y5WESf9O9dcMHDc22zD6s6YveLnF0bi887p3rK/CXHn45IzJ8OVJPzaTp/ac9fWEBPLpcjRWIBnYCPBXQLFBbQndxgAd01TlwPPu1aqk7+kapnAT3SPdvbmAV0CxMW0O3UYAE95iHG7lhA5xyIBYEPPwR2373QVZM49ajCe8JNoHimL+oDgZFh46XitKieRae4vP8+sNtuLKBnmLaSXePxVxKiTBuYzl/aD0UzTX7MnTMda9PHSmzpcMUVwK9+5bg75hjghRdicx/WEfMXFrlw7dwi+sNPAmeJNUC+TNoLuOgHuX/5Ec+lHfMXjoestGL+ssJEuH6Yzl/a8xcW0MPlZeKtWEAnIGcB3QKFBXQnN1hAd42TemLMUHXSjKpnAT3m+zwL6BagLKDbecUCesxDjN2xgM45EAsCGzcCPXoAq1Y57p57DjjuuGjuTV/UR0MnO61few0YOtTpz1ZbAStXAu3bs4CeHZaC94THX3DMstTCdP7SfiiaJa5198V0rE0fK7Hlx2OPAWec4bgrLwcWLQLatYstRBhHzF8Y1KK1yYvon04EdmpxfP1MzPvv3ce/eC5bMn/RuEi7NfOXNgPR4pvOX9rzFxbQo+VnYq1ZQCegZgHdAoUFdCc3WEB3jZN6YsxQddKMqmcBPeb7OwvoFqAsoNt5xQJ6zEOM3bGAzjkQGwKDBwMzZzrurrsOuNE5AjFUHNMX9aFAyWCj8eOBkSOdju29NzBnDj8UzSBVgbrE4y8QXJkzNp2/tB+KZo5wjR0yHWvTx0psqSHPaZHntbjLv/4F7LBDbCHCOGL+wqAWvc2tz9fi6uNvK3C090XAqT8eh1E1o3wHYP58Q5VJQ+Yvk7T47pTp/KU9f2EB3XcqpmtYIKDv1AB0KlKP1xD9c44rCd/5LkTTbgp3VH2ZwlYlovQh7Kk6aUYK6HS89tWuz2haTaoqG0njCoh9KotKFRaStlXw76MSzaSPSiJehcK2DGJfxaLSC67XBF1/675xhce2+/L1ZB/aLVfwtJaop3ItaIZ1JBpQddKsq9d2M1EnrVb06ET2hBLWl4lXD6jSQih8TaD3LW1GpcdFE1EnjRrR12O7EFVkHxpV9Ru99kv+vT2Nfj1RTdVJM6o+iIAexHbNZkW20OMDxPgAlih8UGPBOw5yjb8mfKhumqsJW3osqYcCnZu0PSW2U3WydRDbbYlwRfu02hbdFZci3k73FJUP4ppVvwlUfZDfjyC2sv/Ub1AQH0GuQ/nSgPdm2q2MzteyrstIPrqDuM8TdbJxtwC23SE+NywqVCxp4qcPy+evwJ397rU8NjQ0oLqa+gFXjx7+iz8E0l5U+OtleCvTF4XhkYm/5VVXAXfc4fj9/veBv/wlWhzmLxp+SbU+80zg0UedaBdcAEyaxAJ6UvjrisPjTxeyyfg1nT/T5y/JZIm/KKZjbfpY8ceyD6vN4plMH/Ggtdn1DObhh8Ue3mf5aKzPhPnTh21bnt976HbsdY4jlK/tAAy4YTssvEb13I32xvylw19cUZm/uJBMx4/p/KU9f2EBPZ28DhyVBXQCMhbQLVBYQHdygwV01zipJ8YMVSfNqPogongQWxbQfdz/g4jiQWxZQLfBZwHdgkItirOA7mOgZs4k7UWFbkBMXxTqxi+I/yfFOYgnn+y0KBMvDS0Rz9Ci7OzJ/AVhID3bnXYCPvvMif/73wPDhrGAnh4j8UTm8RcPjml5MZ0/0+cvaeUNFdd0rE0fK7Hm0g/EAdfyjJ58+cUvgLvvjjVEUGfMX1DE4rGffOpAnP9nsQNBa3lLfKNz4IXBtm+XTZm/ePhIywvzlxby8cQ1nb+05y8soMeTp9q9sIBOQMwCugUKC+hObrCA7hon9cSYoeqkGVUfRBQPYssCuo/fiyCieBBbFtBt8FlAt6BgAd3HcAxg8uWXX+KFF17AjBkz8P7771tbqsuFTK9evbC32Af59NNPxymnnIKOHVVbrgQIRpimvaiI1vvSrU1fFJZGIDkLsVEE+vcvjPfPfwIDB4bvA/MXHrukWi4XO1LJlyXc5Z13gH3EGZjMX1Is6InD/OnBNSmvpvNn+vwlqTzxE8d0rE0fK3449m1z882APKMnX/bbD3j7bd/NdRgyfzpQbdunPAN9pwtqcYKY5+fL3SIVfnlM7l/jhvrfxp35S56/OCMyf3Gimbwv0/lLe/7CAnryOR0qIgvoBGwsoFugsIDu5AYL6K5xUk+MGapOmlH1QUTxILYsoPv4DQgiigexZQHdBp8FdAsKFtB9DEefJqNHj8ZNN92EzXJLxDbKPkKJelJ83tu/WJ30Gacts7QXFTFcQpsuTF8U6sYviH+ZxtuLr08Wuk4weugh4Oyzg3gptGX+wmOXVMvp04HDDnOidRInsawQJ4V07swCelIc6IrD408Xssn4NZ0/0+cvyWSJvyimY236WPHHsk+rV18FjjjCMd5qK3HKnTjmTv7op1SYv2SBl+J57au1aBwP9HVtQDfx0v1xWS/nZQq/Ijrzlyx/cUdj/uJGNFl/pvOX9vyFBfRk8zl0NBbQCehYQLdAYQHdyQ0W0F3jpJ4YM1SdNKPqg4jiQWxZQPfxOxBEFA9iywK6DT4L6BYULKD7GI4+TS4QBwXff//96Nq1K370ox9h6NCh2HHHHdGlSxd88sknYkfEu/GO/JRTFFn/3nvvoVu3bj69+zNLe1Hhr5fhrUxfFIZHRk/LE04AnnnG8X3ppcDEieFjMX/hsUuqpTz3/qqrnGhi4wzMmZP7N/OXFAt64jB/enBNyqvp/Jk+f0kqT/zEMR1r08eKH45928htZ7bbDuLtX6fJ7NnAAQf4dhG3IfMXN6KOv1lfzkJN/xq7whLPp9Vie5EG8ycUxp03+0U8seEf1t/zxY+Izvzp4y8Jz8xfEijri2E6f2nPX1hA15e7sXouENB3F/sqblWkHnuPKwXWxNAFapfRLgq/1HNg1bNhSryQbqn6Pop4VD0lqsvmRH2XanGYI1Gqerg+t2n9exUaSdtKNJH1fQn7SjT79lGhsC3HYo8PlYBehmUe27JVYnZElC50NbCKMF6r4GMDUU/VqdJStaMtlW9daSebFfWUsL60Q9Eela0ul8Fb30ImJgT7FZ6ONKOS7FwTUd+IvqTtQlSR9Y1EfeNG2nZJPVFf344Grp6opuqkGVUfRED/SpEA1D3MMm0hGtDjDuS4EW9Rk4Ua/6sVtlS9yna9KsMD1ItPvjxFNUAoW0pUlw67E35VtpTYLpv3JHwEsaXaS5dEbqp+J6ihSw9n+jdFhqPsg8RL2LZ9GXUzFoyWiU8Di0pZZ++9P8e+11YtoPu37ebD78r5y/Bgv1utnjaIvaGrq1U/1gGGScZMR40ahfLyclx88cXo3t071uSC5swzz8Tjjz9u9fyGG27A9ddfH+tVpL2oiPViCGemLwp14xfU/y23ANde67SKurMn8xeUgeTtxSkTmDLFiXvRRcA99+T+zfwlz0ecEZm/ONFM3pfp/Jk+f0k+Y9QRTcfa9LESey7tuiswd67j9le/Ent3/zL2MH4dMn9+kQpmVzejDmNnjrW3Y8+L59LLiYL+J3PLU6ssFc9fe6zagPbtO+Doh4/G1HlT7b+VEtGZv2C8ZM2a+csaI8H6Yzp/ac9fWEAPlo+pWbOATkDPAroFCgvoTm6wgO5gwQJ6HgsW0J2sYAHdxoIFdAsKFtCTnda1tLSgqqoK69atw+67744PPvgg1g6kvaiI9WIIZ6YvCnXjF9T/tGnA4Yc7raLu7Mn8BWUgefsddgDmzXPi3nsvcOGFuX8zf8nzEWdE5i9ONJP3ZTp/ps9fks8YdUTTsTZ9rMSeSz/5CTB5suP2jDOARx6JPYxfh8yfX6T828kvzwdNHmQ3OOq7RxWI4o/8rT/OePFL++/v7NYT+37YArfI7o7WlojO/PnnJYuWzF8WWfHfJ9P5S3v+wgK6/1xM1ZIFdAJ+FtAtUFhAd3KDBXQHCxbQ81iwgO5kBQvoNhYsoFtQsICe/NRu3333FVsiz7G2el+5Urn1RqiOpb2oCNXpAI1MXxQGgCIRU2pnz7fFcYjyS/QwhfkLg1pybZYuFXvMFG0SI06awP/+b64PzF9yXOiIxPzpQDU5n6bzZ/r8JblMKR3JdKxNHyulGQ5oIbeZGTbMafSd7xS+SRfQXVRz5i8qgnT7tsTwIy+6DXt+IiaBrWXaWQdizrAfFmzfXiy6v3H+GwXbwefbMn96+EvKK/OXFNJ64pjOX9rzFxbQ9eRt7F5ZQCcgZQHdAoUFdCc3WEB3sGABPY8FC+hOVrCAbmPBAroFBQvosU/XSjqUX55/+OGH1jbvX3+tuj+VdEMapL2oCNdr/61MXxT6RyI5y112AT75xIknz0CXZ6GHKcxfGNSSa/Pqq8ARRzjxOneGuEeJU8O2ytUxf8lxoSMS86cD1eR8ms6f6fOX5DKldCTTsTZ9rJRmOKDF++87b8rlmzaLoyd79w7oKB5z5i8eHCkvxSK6FGdyLikAACAASURBVMVfPP05rOzaCd3XOS3uqh2MEV1m2BX5L87z7cccOgZ1g+vIjjJ/+vhLwjPzlwTK+mKYzl/a8xcW0PXlbqyeWUAn4GQB3QKFBXQnN1hAd7BgAT2PBQvoTlawgG5jwQK6BQUL6LFO1Uo6axYPpLbffnts2LAB8kv0v/3tbyXbBDFIe1ERpK9hbE1fFIbBRHeb884D/vAHJ8qPfwz88Y/hojJ/4XBLqtVttwG1tU40cYsS9yjn38xfUkzoicP86cE1Ka+m82f6/CWpPPETx3SsTR8rfjgOZCPWJOjRA/jmG6fZ888Dxx4byE1cxsxfXEjSfopF9Dv6nouRP3NN9EWzypFAc7dc++Lt2uV28DX9a5SdZP708qfbO/OnG2G9/k3nL+35CwvoevM3Nu8soBNQsoBugcICupMbLKA7WLCAnseCBXQnK1hAt7FgAd2CggX02KZpvhxdeeWVuPPOOy3bO+64AyNHiicUAYqcC7ZVFi5cKLbXzu2vXV9fj+rq6gDes28qF4WLFy/OzX169UKHDh2y3+ktvIe//307/OIX7e2rGDhwM+bO3RTqqpi/ULAl1ui009rjySfb2fGGDduE3/xms/1v5i8xKrQEYv60wJqYU9P5k/ObAQMGWHg2NDQYN39JLFF8BEr7AbSPLkYyMV1AiASOqvGhhwKvv+789brrgBtv1BKqlFPmrxRC0f/uFtHPF0f1PPCs47NevEvx7Sty/27rrHNVL5i/6Pyk6YH5SxP96LFN5y/t+QsL6NFzNBEPBQL6vg1A56KHotQxmmsUXVPV+72SLgpDqr71zTVPC0q8kEZUPSWUS1uqXmVLPUOudh4KufvXc0Cjp7uVHZrIi+4Lr600rMJCrw/QPiqI+kqIbZOIUknYlqOFtC1H7iGzu5RhGWnbfTmdFJ0o7XFVgLwSL7SSZaPfZBN21PNxVQ52pf1uFhPB4rKiRyfSeGkHbxIuIxMTAvleHh9NqCD9UraNIlOo0qzwQdmrfFD1i77oSwNUT2BRr+CIqlfZUlqPSv/5ShGPTFmVKE6NMXrcAUuIgCq/Kwjb1YoOq+rXB0j6IKZUHndUONiaqKfqpNm2Ch9UPSXMq3wUHbBqR6Hqt6H7QI3/IL8p0qt36NK/P1m2lX0r8/6OdenlnGHmBrB7D+9EQSWgl8Hrozvo87opH8V138xfgmf6XWl157/1wejb4vDompoa6+tzKWz/85//xDbbKHJcMfratXPErVJ3iXfffRdVVfRvTKm2Wf37pk2bsFwezC1KD/G1TPv2jrCb1T5v6f364IOOOOqowhvmJ580oYy495S6VuavFELp/n2//XqJ+7Mzf7jrruU44wxnTsP8pctP1OjMX1QE021vOn+NjY3Ye++9/6vniUllWNoPoHVfp+kCghb8rrpKvtnruJbnubz8spZQpZwyf6UQiufveRH9988Bw951fD4ujm467dRw4rn0wvzFw09aXpi/tJCPJ67p/KU9f2EBPZ481e6FBXQCYhbQLVBYQHflBgvoNhgsoOehYAHdGSEsoNtYsIBuQcECuvbpmxWgqakJ++yzD+RcTorgr4rDhg877LDAwVlAZwE9cNJEbLBOnIk4cGAl1q51Xt549NElGDzYdViizximC0A+Ycik2ZIl7bDrrpUFfZs2bTF22cV5E5b5yyR1vjvF/PmGKpOGpvPHAnpyaZf2A2jdV2q6gKAFvyefBE4+2XEtt3RfIj42SOFFVeZPC8OkUymiH3FKLfZyfcgyUrw70Xv0OIyqGRWqI8xfKNgy04j5ywwVoTpiOn9pz19YQA+Vlsk3YgGdwJwFdAsUFtBducECug0GC+h5KFhAd0YIC+g2FiygW1D8Nwro8gvwTp3oHUiCzO4mT56M8+QB0SXKihUrMGTIEMgvwmW59dZbxTnDroOGSzlw/Z23cOct3AOkS2ymNTXt8dZbjoA+duwmXHstvYtTW0FN34I4NsBTcCQ/NDvmGGfLpy5dNmPZsk3o6NrQhvlLgZgYQzJ/MYKZgivT+eMt3JNLqrQfQOu+UtMFBC34ySOi+vUrdD13LrDzzlrClZorLlq0yDLp3bs3H9ekkYF1K5ahfY/t0NE1pT/qwq0x9d5vQkfl8Rcaukw0ZP4yQUPoTpjOX9rzFxbQQ6dmsg1ZQCfwZgHdAoUFdFdusIBug8ECeh4KFtCdEcICuo0FC+gWFCygh5/L+RHQ16xZI0SpYzB9+nQr0PDhwzF+/PjwQUu0THtRoe3CWh2bvijUjV9Y/5dfDvz6107r448HnnWdl+jXL/PnF6nk7W65BeKlCCfuAQcAs2cX9oP5S56XOCMyf3Gimbwv0/kzff6SfMaoI5qOteljRVsuieOlsGCB4/6BB4Dzz9cWTuWY+UsO8rvuPBnDrxS7D+TXWeJd2W2vBkYfzV+gJ8dCtiLx+MsWH0F7Yzp/ac9fWEAPmpEp2bOATgDPAroFCgvortxgAd0GgwX0PBQsoDsjhAV0GwsW0C0o/hsFdHndn376aeTZXN++fa1zuFVFful+4okn4rnnxOFyolxwwQWYNGlS5LhtOUh7UaH14oRz0xeFuvEL6/+RR4CzznJaV1QAX4ntHsVpBIEK8xcIrkSNxa0KTz/thLz0UmDixMIuMH+JUhJ7MOYvdkgTdWg6f6bPXxJNlhLBTMfa9LGiLZdOOQV44gnHvVi3iIWLtnAqx8xfMpDL7du/uqkWE/7ixPtAnOSz58W5f48bGk5EZ/6S4U9XFOZPF7LJ+DWdv7TnLyygJ5PHkaMUCOiDG4Au4g1Bd1lGhFipCLuGqHeOuCvdV9d2fgXGVH03hTtVfRlhTwkd0iyIgE7ZFkFoR672AtRn+0byQqpA11ei2WOvsq0IYFsJrxgYREDvhRbyOsrWUgkEdF2+yWu/SsEpVU/lmmy+MUAOUnnl7DJZ6KiLom+UsK4Q21f1aO9xsqwzlZjAYvH6QnFpAZ2wLYRtEwrPm8z7aoJ4Ok2Uhajy1FJCuTSifKhsv/qiaMsu6WC+YovjeqJjVJ3lI4Ct6+ylglaUj8UKnkFtN6US0L1jVBz2pXD8NVFP1Umz1QofVL3KVnV9UespAV21lTVlK+NT9d0VHduWqKfqpFlPwpaqk2aUD8V10EMXoOpVtlkV2yUUAfrWvpf3Jt29bAXJXVln72+CSmyn6ovr1sxfjNf7iQcxojQ0NKBafuVgcJFnlZ4lFMfHHnvMusrTTjsNjwgVsr3mswTTXlToptT0RaFu/ML6nzcP2GGHwtb19cC3vhXMI/MXDK8krfv3l/dmJ+KDDwLnnlvYA+YvSUbij8X8xY9pkh5N58/0+UuSuVIqlulYmz5WSvEb+u933QWMGOE033VX4KOPQrsL25D5C4uc/3ZSPK+dVotHxPsSZ7gofurgcpx0hPO8OIyIzvz55yGLlsxfFlnx3yfT+Ut7/sICuv9cTNWSBXQCfhbQLVBYQHflBgvoNhgsoOehYAHdGSEsoNtYsIBuQcECup6p3YUXXoj77rvPcn7cccfhqaeeiuXc9VK9TXtRUap/Uf9u+qIwKj662m8WZyOKYyjR4noHU74bIt4LCVSYv0BwJWbcLN4nrCx6n1M+M5fPzt2F+UuMEi2BmD8tsCbm1HT+TJ+/JJYoPgKZjrXpY8UHxeFM3noLOPBAp63cZmiJ+LigTPWGebgwpVoxf6UQCvb3WV/OQk3/GrtRXjyXFfN+BXzH9c789KvPwN+O2cMS1/MlqIjO/AXjJ2vWzF/WGAnWH9P5S3v+wgJ6sHxMzZoFdAJ6FtAtUFhAd+UGC+g2GCyg56FgAd0ZISyg21iwgG5BwQJ6/NM6ec75hAkTLMdDhw7FCy+8gM6dO8cfiPCY9qJC90WavijUjV8U/8ceC7z4ouNBnovemua+3TJ/vqFK1PCll4BjjnFCbrMN8LXYZKdD0W5PzF+itMQejPmLHdJEHZrOn+nzl0STpUQw07E2faxoy6W1a8Umb2KXt3XrnBBTpwJHHqktJOWY+YsP7roZdRg7c6y9HbtbPJcb0y26ozDWRy8/jN2OOAtHP3w0ps4T3LeWICI68xcff2l4Yv7SQD2+mKbzl/b8hQX0+HJVqycW0Al4WUC3QGEB3ZUbLKDbYLCAnoeCBXRnhLCAbmPBAroFBQvo8U7d6urEg4qxYy2nBx10EF5++WV07ao4LyTe0Ja3tBcVGi6pwKXpi0Ld+EXxf+ONwOjRjof99wfkx0pBCvMXBK3kbIu5PfhgYNYsb3zmLzlOdERi/nSgmpxP0/kzff6SXKaUjmQ61qaPldIMR7CQE4A333QcjBkDiLVNkoX5iwdt+eX5oMmDbGdHffeoAlF8wsYjcPmNr9h/XyVOw+u0YhUmvDOx4Av0vIFfEZ35i4e/tLwwf2khH09c0/lLe/7CAno8eardCwvoBMQsoFugsIDuyg0W0G0wWEDPQ8ECujNCWEC3sWAB3YKCBfT4pm8TJ07EZZddZjncfvvtMWXKFPTo0aPNADvttFOsW7unvaiID03ak+mLQt34RfH/6qvAEUc4HjqJB23yK+UuqnkXEYz5i8KAvrY//CHw7LOO/1/+EviV2NazuDB/+jhIwjPzlwTK+mKYzp/p8xd9mRHcs+lYmz5WgjMeoMXIkcD48U4DOfETLwMnWZi/+NB2f3Hu9irF8APum4pD/zDDrv77jt3x8gPXFojnxaL7G+e/UbAdPNVT5i8+/tLwxPylgXp8MU3nL+35Cwvo8eWqVk8soBPwsoBugcICuis3WEC3wWABPQ8FC+jOCGEB3caCBXQLChbQ45u6DR48GDNnzgzk8PPPP8eAAQMCtWnLOO1FRWwXonBk+qJQN35R/EuxXB6DKc9Dzxf5kZL7uMxS/pm/Ugil8/fqamDBAif2Qw8BZ5/t7Qvzlw4/cUVl/uJCMh0/pvNn+vwlnayho5qOteljRWsuPfUUcNJJTgi5pbs8B734TBeNnWD+4gW3WESXovhLZ7+EOXtWYJ8PFtnBHv1+Fc48qNH+d/6L83z7MYeOQd3gupKdY/5KQpRpA+Yv0/SU7Jzp/KU9f2EBvWQKZsOgQED/QQOwjXja4S6LiX6uVPSdql8Tw3V2JHyoBE1VfVRRgxLVZbeo+iII7d4T9V2qxcSRKFU9FpL1lfCKdlVwJiTuRhVo9vhQ2VJ+qfbSYTm8SdELLWR/y7CMrl+13FPfxVuVsxEPVz1FlVfiiCVP2aDIQaqeyjXZXFVPHT+r2lWXqF9V3p7s3IrO3T31LQJ5qixGL9+2lPgtGzej0uOjEVVkPKq+GRW+bRubaL+b6gmA6hXcUfXzFbZB6r9S+KDqN6xXGFPCOj3OxcqR8EGPJWCFIh41QFRJv5rwoboORTjf1eIzQrJQYrtqkInFtW8fKlvvWBIHsSn89iTqqTppJg5zpQr1G0T9/si2VL13OOei6LLVFo/Oqy5l3jwu60H/TnQncn67ot+UdfOb8X6/Uy2IGhoaUC0VG8MKC+j6CTV9UagfwWgRvvc94KOPHB/yI6Xhw/37ZP78Y5WU5UKxjKkqmu598gnwP//j7QHzlxQreuIwf3pwTcqr6fyl/VA0KR6zEMd0rE0fK1pziJoU/OMfgJwAJlSYv/iBLhbRbz3sFlx41LUo/8Z5K/bUk4E/75aLXbxdu9wOvqZ/ja+OMX++YMqsEfOXWWp8dcx0/tKev7CA7isN0zdiAZ3ggBIUWEC3gWIB3ZUzLKBbYLCA7r6PsICeQ4MFdDsrWEC3oWABPf15X5gepL2oCNPnIG1MXxQGwSIN24suAiZNciKfLB+2/dl/T5g//1glZfn888DxxzvRunUDlosXZdsT740yf0mxoicO86cH16S8ms6f6fOXpPLETxzTsTZ9rPjhOJKN3Bnriy8cF/fcA8gJYEKF+dMDtFtE/474NmTe3YVxvnU58KV4FuL3rHNVL5k/Pfwl5ZX5SwppPXFM5y/t+QsL6HryNnavLKATkLKAboHCX6C7coO/QLfB4C/QW6HgL9BL/B6xgG4DxAK6DQUL6LFP4xJxmPaiQvdFmr4o1I1fVP8PPAD89KeOl+23B+ardo8hgjF/URmIv31dHTB2rOP3kEMgjqKg4zB/8eOfpEfmL0m0449lOn+mz1/iz4jwHk3H2vSxEp55ny3PPBN49FHH+NxzgQcf9Nk4uhnzFx1DlYe8iH76h4LiJx2rJrHBZJ+RQjw/fBxG1YyK1AHmLxJ8qTdm/lKnIFIHTOcv7fkLC+iR0jO5xiygE1izgG6BwgK6KzdYQLfBYAG9FQoW0Ev8ULGAbgPEAroNBQvoyc3v4oyU9qIizmuhfJm+KNSNX1T/cmvvXXYp9CJOZBBHMvjzzPz5wylJK/n1ufwKPV/klvxya34ef0mykEwsHn/J4Kwriun8mT5/0ZUXYfyajrXpYyUM54HaTJwIXHaZ02TgQOCf/wzkIoox8xcFvdJtpYjeeWQtLn/bsX1OUDz3/ujiufTI/JXmIMsWzF+W2SndN9P5S3v+wgJ66RzMhAUL6AQNLKBboLCA7soNFtBtMFhAb4WCBfQSv2EsoNsAsYBuQ8ECeiamfoE7kfaiInCHAzYwfVEYEI7EzTdtAsrLgWXLnNCPPw6ccoq/rjB//nBKymqzOPpSnn/+1VdOxEceAc44g+4B85cUM3riMH96cE3Kq+n8mT5/SSpP/MQxHWvTx4ofjiPZvPsusM8+hS4WLQJ6UQ9fI0UiGzN/8WNa7PHtfu2wv2sHqRuGdsToV9fHEpj5iwXG1Jwwf6lBH0tg0/lLe/7CAnosaarfSYGAfrb43KNb0ecei4k+UHXSbCVhu0ZxDRuIeqpOBUEXxR9U9eLsPU+JQ9SgzkZXfTFD2oqnTETpOaCRrK/s4D1fuS8UtuJk6uJSpbCtgNdvJdFe+qskbMvRQvaXOi9dGpbB9ZS0teV2S+hkaSfOTPSUVQr+qXpVDm4MML46KGwpYZ06F102p3JwW9rvmh7e+mVdiUphtkygWVwWQzyJJkoL6AUKdYZ5k2CaKpEFdIinqkRpbPHWr69XAERt7Vqv4Ei1DSxVr7J1PQS2o1B18o/UfVAxPkCMJUAcHkUWVf3XhPVqhQ+qXmVL3ZDjWACphHVqMG2tuA6qXmVL5ZAir9CdiNdT0QeVD8q+He2D+g1SPUPQZRtHPMqH6ve1l/c3r1PZChKfsnLv70R3FNpumP8Vvux3uNW+QXyyWu33k1UFq1xNI5D2okI3L6YvCnXjF4f/o44C/vIXx9MVVwB33eXPM/PnD6ekrBYs8O4e8NlnwI470j1g/pJiRk8c5k8Prkl5NZ0/0+cvSeWJnzimY236WPHDcSSb9eI5Qg/xPGu169nDc88Bxx0Xya3fxsyfX6TC2Y17pQ7DjxqLrcRLsfly+I+BIy7iL9DDIWpWKx5/WzafpvOX9vyFBfQtZHywgE4QFUSoYAHdApAFdFcesYBug0GJ7VSdbMACeh42FtCd0cQCuo1FkN+lILYsoG8hs7V0u5n2okL31Zu+KNSNXxz+5XnZ8tzsfDngAGD2bH+emT9/OCVl9fTTwIknOtG2Fe+bLV0KtG9P94D5S4oZPXGYPz24JuXVdP5Mn78klSd+4piOteljxQ/HkW0GDwZmznTcXHMNcPPNkd36ccD8+UEpnI3cvv3ZybX46wNOe6mjl9UCK8QHbuOGRhfRmb9w3GSlFfOXFSbC9cN0/tKev7CAHi4vE2/FAjoBeRDxgQV0C0AW0F15xAK6DQYL6Hko6B0a+At09/2Xv0C30IhD0A7yGxZHPP4CPfG5W9IB015U6L5e0xeFuvGLw//LLwNHHul42mor4GuxwUpn1ZzKFZT5i4OB+HzUigemt93m+DtcbBLyyitq/8xffNin4Yn5SwP1+GKazp/p85f4MiG6J9OxNn2sRM8AHx6uvlqoqeMcQymoT5/uo2F0E+YvOoaUByme106rxYi/Ane65npz+3TArsOcLT+jiujMnx7+kvLK/CWFtJ44pvOX9vyFBXQ9eRu7VxbQCUiDiA8soFsAsoDuyiMW0G0wWEDPQ8ECujNCeAt3G4sgvzW6bFlAj31eZaLDtBcVujE1fVGoG784/Mvzz7fbrtCT/AJdfoleqjB/pRBK9u9DhgAzZjgxr70WuOkmdR+Yv2T5iTsa8xc3osn6M50/0+cvyWZL29FMx9r0sZJILskt23/wAyfUNtsAy8V5jR2pF+nj7RHzFw+es76chZr+NZazvHgu//+JKcBJnzgxZhz5P3j7uvMscT1foojozF88/KXlhflLC/l44prOX9rzFxbQ48lT7V5YQCcgDiJUsIBuAcgCuiuPWEC3wWABPQ8FC+jOCGEB3cYiyG+NLlsW0LXPs0wIkPaiQjeGpi8KdeMXl/9ddwXmznW8yTPQ5VnopQrzVwqh5P6+UXxsVCZ+r1audGI+80zh8/Li3jB/yfGjIxLzpwPV5Hyazp/p85fkMqV0JNOxNn2slGY4BotFi4CKikJH774L7LVXDM7bdsH8RYe4bkYdxs4ca23JLostjm8GFt7VDn1WiP9pLTPrzsehYx4oENnln8KK6MxfdP7S9MD8pYl+9Nim85f2/IUF9Og5mogHFtAJmIMIFSygWwCygO7KIxbQbTBYQM9DwQK6M0JYQLexCPJbo8uWBfRE5lpbepC0FxW68TN9Uagbv7j8X3ABcP/9jrdTTwWmiC9aShXmrxRCyf39ww+B3XcvjPfVV0BlpboPzF9y/OiIxPzpQDU5n6bzZ/r8JblMKR3JdKxNHyulGY7JYuBA4F//cpz95jfAJZfE5JznGrqAlF+eD5o8iHR/+w4/x5Vn/67gb5+9+RwGHnicR0CXRmFEdB5/uphNxi/zlwzOuqKYzl/a8xcW0HVlbsx+CwT0nzcA21YXPfUgAoptFslC1bu+QChos4bwsCHAxal2+VHVdyN8U3XSLIhQQYkPlKgu/QYQ29tXryLBqKhs8tRXoZG0rcJCT30lvO2lUV/CRyWaSb+Uj6ACei94BcWytXRidW3Z5O2HOBeTLFS+rVXYUvVBclC6pfKtgyJeF6K+q8K2h7d+/baKYdfDm8jLyCSGQL2cdLKYqG8G/bSziahvFBlEFcoHJarLtlR986qiN5Rbg6ys7+0NV6/Acn6A+jhsxYNiT1HdM/ENYUyPUWCJ4kKoetUAWUH4WK3wS9WvV9gGHTiUG2ow6RLbFYMJVH13xTWrfPQk7FW2xPVRvz/SI1Wvsg10Jrni8qL6UAnzAfx26uXN4+5lhTm8aX4jlg3Yz7qIhoYGVFcXzWEUl8fVwRBIe1ERrLfBrU1fFAZHJJ0W990HXHihE7tfP+DLL0v3hfkrjVFSFsUcfutbQL1qftbaKeYvKXb0xGH+9OCalFfT+TN9/pJUnviJYzrWpo8VPxzHYnPuucAf/+i4OvNM4E9/isV1W06Yv+gQu7dsz3uTYviQt77Cflf+yg7Qsk07bLdiPe54886CLdzdPXjj/DfsreD99Iz584NSdm2Yv+xy46dnpvOX9vyFBXQ/WZgBGxbQCRJYQLdAYQHdxwBlAd0CiQV0V66wgO5j4FAmLKBbqLCAbicHC+ghh5KGZmkvKjRcUoFL0xeFuvGLy//HHwO77Vbobb54sW377duOwPzFxUB0P/IFCCmi54ufXQSYv+i4p+mB+UsT/eixTefP9PlL9AyIz4PpWJs+VuLLhBKe7rkHGDbMMfr2t4H//Ed7eOYvHoiLRXQpoB985+OoeeY9O8Bbe/TCzN+M9Jx/Lg3ktu9jDh2DusF1gTrE/AWCK3PGzF/mKAnUIdP5S3v+wgJ6oHRMz5gFdAJ7FtAtUFhA9zEuWUC3QGIB3ZUrLKD7GDiUCQvoFiosoNvJwQJ6yKGkoVnaiwoNl1Tg0vRFoW784vK/SWw4tN12wNeuzSf+/Gfg5JPbjsD8xcVAdD9y+3a5jXu+jB8PDB/O/EVHNrseePxllxs/PTOdP9PnL344TsrGdKxNHytJ5Qn+8Q9gjz0Kwy0UO2f2UW3jGU/PmL94cJReikX0D+7fCrs3rLMD3H/yd3DBbs5LEe4t2+VW8DX9awJ3hvkLDFmmGjB/maIjcGdM5y/t+QsL6IFTMp0GLKATuLOAboHCArqPMckCugUSC+iuXGEB3cfAoUxYQLdQYQHdTg4W0EMOJQ3N0l5UaLikApemLwp14xen/+9/H3jlFcfjiBHAnXe2HYH5i5OB8L5WimOUeogjiOSLEPkyaxZw8MHMX3hUs9+Sx1/2OWqrh6bzZ/r8JUvZZzrWpo+VxHJp48bc25IrXMdyPfUU8KMfae0C8xcvvHkRfWuhmy8fB3Ryzf2GiF36Z4iNBWQJc9451VPmL17+kvbG/CWNeLzxTOcv7fkLC+jx5qs2byygE9CygG6BwgK6j2HHAroFEgvorlxhAd3HwKFMWEC3UGEB3U4OFtBDDiUNzdJeVGi4pAKXpi8KdeMXp/8xY4AbbnA8HnQQ8Ne/th2B+YuTgfC+ZswAhgxx2ncUP+tyN4Gtt2b+wqOa/ZY8/rLPUVs9NJ0/0+cvWco+07E2fawkmktHHAG8+qoT8sorgdtv19oF5i9+eKWI/sL9tXj9Qcf3xnbiZcpaYFXn+MRz6Z35i5+/JD0yf0miHX8s0/lLe/7CAnr8OavFY4GAfnWD+LWrLoxDiUGLFV1ZRtRTddJsDWFL1QW9akqDkT66EI6oOmlGCRgqUaMX4Zeqk2bUrkRFcNveFPXdqhd5AlZ0bSZRqhKyZnGpRBNp25e0pf1SPirg31Z2oBwtnn6UgU6WsuXik5ai0sm1vWfBn5YTl7dKkURUvq1V2G4IkIiqHKTquyr8igmnp4iveqiymahf2pNO7mUKda4F3qRtESxRpUm8WlFcmlBB2jYTto2oUvj1+liost3o7cOSetov6sUsniriXFVPoeqkURBb6p5J1Um/bAt3egAAIABJREFUVP2GzYqkoMcYiLEELFH4cL3pbVuoBhNVrxoIq4l46wMMmqCmnYgGqif01MBT2W5L+KXqpFl3RaeD+OhJ+KCuTZh1I0xVvzVRf8NkKMp3HL+DEf0Wi+qbGxdgw+67WOA0NDSgulr1oxo0x9jejUDaiwrdbJi+KNSNX5z+p04Fjj7a8dhZzIekCLvVVuoozF+cDIT3JZ99jxrltN9rL+Ddd0v7Y/5KY5RlC+Yvy+yU7pvp/Jk+fynNcHIWpmNt+lhJLlNEpOK3JeVWNXLLGo2F+dMD7h/O2AXnPvaJ7fzv4pn3XuKI+7i+PM87Zv708JeUV+YvKaT1xDGdv7TnLyyg68nb2L2ygE5AGlV8YAHdBlUl2LOA3goRC+h2rlAiPAvo7vsTC+gOGiygW1iwgA4W0GOfFpIO015U6L5K0xeFuvGL0//SpUDPoneL3n4b2G8/dRTmL04Gwvs66SRA7sKaLxdfDPzud6X9MX+lMcqyBfOXZXZK9810/kyfv5RmODkL07E2fawklykiUvHbkvItyeXiS5guqi+coveO+YuOIeVhzr7V2GfOAvtPv90XGH1yT7Rc5f1gKkoPmL8o6KXflvlLn4MoPTCdv7TnLyygR8nOBNuygE6AzQK6BUqQLdz5C3RXHvEX6DYY/AV6KxT8BXrMv2osoFuAsoDOAnrMI0vlLu1Fhe7LNH1RqBu/uP3vvDPw6aeO11/9CvjlL9VRmL+4GQjnT24AssB5hooHHwTOFedglirMXymEsv135i/b/JTqnen8mT5/KcVvkn83HWvTx0qSuWKJ5fIc9M2unfdefx0YNEhbN5g/DdAK/hZ174DeqxwezxZH2f9pD/4CXQPaW7RLHn9bNH3GH6GQ9vyFBfQtZHywgE4QxQK6BQoL6K7c4C3cbTB4C/dWKFTbvfMW7q0A8Rbuzh1EtQ08b+FuYRRga3jewj2dyWXaiwrdV82Let0IB/P/k58Akyc7bU47DXjsMbUP5i8YvjqspXBefILG3LmAfBmiVGH+SiGU7b8zf9nmp1TvTOfP9PlLKX6T/LvpWJs+VpLMFSvW//4v8P77TthbbgGuvlpbN5i/+KG986GLMfKc/1fg+LuXAf9pfcQR5zbuzF/8/CXpkflLEu34Y5nOX9rzFxbQ489ZLR5ZQCdgZQHdAoUFdFdusIBug8ECeisULKC7Bgifge6AwWegW1iovo7nM9C1zOV0O017UaH7+kxfFOrGL27/994L/Oxnjtf+/YEvvlBHYf7iZiC4P7l1u9zCPV969ACWLAHaty/ti/krjVGWLZi/LLNTum+m82f6/KU0w8lZmI616WMluUxpjXSZUFonTnTCHn008OKL2rrB/IWHdtaXs1DTv6bAwW2zbsOHd9Xi4aed6kVd2+H+l27G1a9dY1fGJaIzf+H5y0JL5i8LLITvg+n8pT1/YQE9fG4m2pIFdAJuFtAtUFhAd+UGC+g2GCygt0LBArprgLCA7oDBArqFBQvoic7ldAdLe1Gh+/pMXxTqxi9u/x99BHzve4Vev/wS6NePjsT8xc1AcH+jRgG33+60O/xw4JVX/Plh/vzhlFUr5i+rzPjrl+n8mT5/8cdyMlamY236WEkmS1xRHn8ckFsM5cu2Yg0t37zr0EFLV5i/cLDWzajD2Jlj4RbCpXheO60Wv30e+Pkcx+/svXrjwHebkf97/i9xiOjMXzj+stKK+csKE+H6YTp/ac9fWEAPl5eJtyoQ0G9vAHqKA+zchRKJFiu6SdUvU9iuJOrXKGwp8VIlaAY5f7qLIl43ol61xSxVrxIO+hB+qTppVkSD3bLaC1Lv7ZvJC6lEk6e+Co2kLXWGucqW8hvHGejloBNru43eJNq2RbE9tDhOyVOoOmm0irBdGyAHpWlUYV2Vr12JfnRW9E185eMpVJ0w+rqcOjsaWNrBm8gtCgWsBeWecJSoLo0o20ZUkRfShApPPXWGujSifFDtpe1XC+h4qCduACpRnKoPYhvkDHSVLXXPtBD7msCzRZEsYlHqKSsUtpRfqk42pwR01eBQbe0edTApLgNbE3+gxwFIW6q9dKnalr07ES/IFu7Utu7SZTuv3yC/SwG2SbcCBflto37zgpzPHkVs/0oMxME5Va2hoUFsIaz68VTlB9f7QSDtRYWfPkaxMX1RGAWbNNpu2gSUi6nGMtf079FHgdNPp3vD/KXBUmHMwYOBmTOdumuvBW66yV+/mD9/OGXVivnLKjP++mU6f6bPX/yxnIyV6VibPlaSyRJXlIULgaqi5zRyS/c9xAHaGgrzFxxU+eX5oMnOufRSCJdFiueyvCd2b/9f17OrVy86HIff84pHQJe2UUV05i84f1lqwfxliY3gfTGdv7TnLyygB8/JVFqwgE7AzgK6BQoL6K7cUGl7UTU/FtBtkFlAb4WCBXQfv4WqgUM1ZQHdQoUFdB95xSYqBNJeVOhmxvRFoW78dPg/7jjghRccz5dcAvzmN3Qk5k8HA/59btwIyC3bV7leTH32WeD44/35YP784ZRVK+Yvq8z465fp/Jk+f/HHcjJWpmNt+lhJJkuKouywAzBvnlMpt3S/9FItXWH+wsFa/DV53ktX8eHRcqGnd9js+J3z6HhMq15vC+zFEaOI6MxfOP6y0or5ywoT4fphOn9pz19YQA+Xl4m3YgGdgJwFdAsUFtBducECug0Gf4HeCgV/ge4aIPwFugMGf4FuYcFfoCc+n9MZMO1Fhc5rk75NXxTqxk+H/3HiodzVVzue5QdJ8sMkqjB/Ohjw7/Mf//B+MNYkNsGq8G4sxPz5h3WLseTxt8VQ9V85/kyfv2Qp+0zHmu91GrLtvPOAP/zBcXzqqcCUKRoC8Vw/CqiUiD6+03EYfq3Yw721rG8P3PHitbj2rZvtuuIv1uUf3jj/Dc956n76xuPPD0rZtWH+ssuNn56Zzl/a8xcW0P1kYQZsWEAnSGAB3QKFBXRXbrCAboPBAnorFCyguwYIC+gOGCygW1iwgJ6BGV58XUh7URHfldCeTF8U6sZPh/9Zs4BBzq6RaCdOsVi6NPelc3Fh/nQw4N/npEnARRc59gMGAJ9/7r898+cfqyxaMn9ZZMV/n0znz/T5i3+m9VuajrXpY0V/hhAR7r8fuOAC5w9yS/f54iGLnPTFXJi/aIAWi+gPfrQjzn3iX7bTD6o7Yc8LnKP6qDPTxxw6BnWD60J1hPkLBVtmGjF/maEiVEdM5y/t+QsL6KHSMvlGLKATmLOAboHCArorN1hAt8FgAb0VChbQXQOEBXQHDBbQLSxYQE9+QqcxYtqLCo2XZrk2fVGoGz8d/tesyYnl69Y53l96CTjqKG805k8HA/59XnghcN99jv1ppwGPPea/PfPnH6ssWjJ/WWTFf59M58/0+Yt/pvVbmo616WNFf4YQET77DNhpp8I/yC3dv/Od2LvD/EWH1C2iP/cn4DhHP8fE/YDLjsnFoLZql+ep1/SvCd0J5i80dJloyPxlgobQnTCdv7TnLyygh07NZBuygE7gzQK6BQoL6K7cYAHdBoMF9FYoWEB3DRAW0B0wWEC3sGABPdnJnOZoaS8qNF8eC+i6AQ7pv0Y8Z/vrX53G114L3HST15npi/qQ8CXWbPfdgQ8/dMLddRdwxRX+wzN//rHKoiXzl0VW/PfJdP5Mn7/4Z1q/pelYmz5W9GcIEWGzOEC7Tx+gudn544MPAueeG3t3mL94ILVE9Fdrseh2sdx3PQI64yTx8uT3aPE8jsjMXxwopueD+UsP+zgim85f2vMXFtDjyNIEfBQI6Pc0AOXVhVG/IjpB1UmzxYQtVSfNVhK2VJ00E1+heIpK0FRh1pH4QxeFMVVPieqyeRnhQyUcUPVivkgWVX0RPbJtl+olpIvKHq6JaKtFJcShhESpgNdWJaBXED4qifYyTJB4vcgEEimJFk+Py1YtJ6+jCwUFbQqsIlxQdaoclPVUHm5UJSFR30FhGyRfuxI+iC1OLatt6XirysWhRUVlWWcquYFlRNI3CaapEkRsb4L3sMxmhV/KdqF45YMqqr41tnjt189XAFRPeE5aQA9y390gFqNk8Y5zEOMr13QF4eFrhV+qnhLVVYNG1jtbfjlBgt7oqe5Rg6lTgIG3tcJWkSug7FW2lNherohH2Sq2twvyu0QPc1oAD2KrS0Av9tskBuKx/SzMGhoaUF1N/EgqEOVq/wikvajw39NwlqYvCsOhkn6r2lrgttucfhx6KDBjhrdfzF96XK0Uaze5U8CmTU4f5EsPBx3kv0/Mn3+ssmjJ/GWRFf99Mp0/0+cv/pnWb2k61qaPFf0ZoohwklBen3rK+aPc0l2eDRNzYf7iA3TcAz9B7U8nFzgc8Evg4pPHYVTNqPgCuTwxf1pgTcwp85cY1FoCmc5f2vMXFtC1pG38TllAJzBlAd0ChQV0V25QL3HIP7OAboHEArorVyhhXSV+B3lBiQX0kD+ALKBbwAURtFX2LKCHzMEtv1naiwrdCJq+KNSNny7/zz8PHH+8472LmJ8vFy9FbrVVYUTmTxcDpf3KFxqGDHHsOoqf3K/FO3Vbq949I1wyf6VxzrIF85dldkr3zXT+TJ+/lGY4OQvTsTZ9rCSXKUWRJkwAhg93KuWW7p9+Gnt3mL/4IH1jzPkYdMODtsOF4mOz3a7bDi2j6A+74ojM/MWBYno+mL/0sI8jsun8pT1/YQE9jixNwAcL6ATILKBboLCA7soNFtBtMPgL9FYo+At01wDhL9AdMPgLdAuLIIJ9kF1b+Av0BGaG3hBpLyp0X7Tpi0Ld+Onyv0Q8hysv2pRj9mzggAMKIzJ/uhgo7VfuECB3CsiXvfYC3n23dDu3BfMXDK+sWTN/WWMkWH9M58/0+UswtvVam4616WNFb3a04X3OHGDffQsNmsSumRXe3Qmj9JH5i4JeYdvnDuqF42c7u4Q+vgtw2qn6tm+X0Zm/+PhLwxPzlwbq8cU0nb+05y8soMeXq1o9sYBOwMsCugUKC+iu3GAB3QaDBfRWKFhAdw0QFtAdMFhAt7BgAV3r3C1p52kvKnRfr+mLQt346fS/227Axx87Ee64Axg5sjAi86eTgbZ9n3gi8PTTjs3FFwO/+12w/jB/wfDKmjXzlzVGgvXHdP5Mn78EY1uvtelYmz5W9GZHG943iC0dy8Q2Z6tcZynKLd1/9KNYu8T8xQOnPAP95B/U4rtLHX+/OBr4zf65f48bqmcbd+YvHv7S8sL8pYV8PHFN5y/t+QsL6PHkqXYvLKATELOAboHCArorN1hAt8FgAb0VChbQXQOEBXQHDBbQLSxYQNc+f0syQNqLCt3XavqiUDd+Ov0PGwbcc48T4YQTCgVb+RfmTycDat+bNwN9+4pjfMSHYvny4IPAuecG6w/zFwyvrFkzf1ljJFh/TOfP9PlLMLb1WpuOteljRW92lPB+xBHAq686RldcAdx1V6xdYv6CwTnry1mo6V9T0EiK53c/XYsFRdSMu/s0XL1kim2rQ0Rn/oLxlzVr5i9rjATrj+n8pT1/YQE9WD6mZl0goD/eILbKqS7sS5DzfBcTl0HVSbNlhO1KBQxUPXX2tGyuqqdcU0fjSrsgAro478VTgggHfRTXrPJRRI/Vuo94gkWUHtWuJ1qtf6/q3EjaVqDZU18pTramCiWsU+1lW5WPCsJ3LzjbALnjlhP15aATa7slXqW7nTgvkyxUvcp2rcIHJayrbBUuyGoqNzsoHFD52lVh28N//fptaduWHl4nlKguWy9G0d6roq5Foaw1w7tNl+ps9SbCtllkG1UaxasgVKF8LFxF266c39vrIoiArrKlzjUPYpsD2VtU56WT99hvFElBnWGlOtcqiIC+WhGPql+vsA1yo6dcqG7+nQhjle02ir5RAnp3hS01yBQDD5QPRR+oe4Lq/PIg55rrsg2yhXtxHxaJAXNGPwvfhoYGVFdTP5JBbr5sSyGQ9qJCNyumLwp146fT/8MPAz/+sROhl7hfNIspa7t2Th3zp5MBte9584Addij8+2efATvuGKw/zF8wvLJmzfxljZFg/TGdP9PnL8HY1mttOtamjxW92VHC+w03AGPGOEb77AO8806sXWL+/MNZN6MOY2eOLfiaXIrntdNqcdqHwGNPOr6WiecO3b5eg/Fv/8r6e77ELaIzf/75y6Il85dFVvz3yXT+0p6/sIDuPxdTtWQBnYCfBXQLFBbQXbnBAroNBgvorVCwgO4aICygO2CwgG5hEURsZwE91Xmgn+BpLyr89DGKjemLwijYpN22vh749rcLe/Hpp8BOOzl1zF86LP3xj4Vfm/cW7xrKr9HdLzf46Rnz5wel7Nowf9nlxk/PTOfP9PmLH46TsjEda9PHSlJ5QsaZPh047DDnTx3ElyPLxBdX3aivlcL1lPnzh5v88nzQ5EG2sRTCZcmL4795AbjE9W7D23v0wv7vL0JeYHdHiVNEZ/788ZdVK+Yvq8z465fp/KU9f2EB3V8epm7FAjpBAQvoFigsoLtygwV0GwwW0FuhYAHdNUBYQHfAYAHdwoIF9NTnd3F2IO1FRZzXQvkyfVGoGz+d/uU24f3EJhMLFjhR7rsP+OlPnX8zfzoZUPv+2c+Ae+91/i6PK5XHlgYtzF9QxLJlz/xli4+gvTGdP9PnL0H51mlvOtamjxWduVHS9zdiRzy5y6E8Dz1fXnkFOPzwkk39GjB/fpECKYbnW8+9pxN2XujsEjjtwsMx55zDC74+d0eKS0Rn/vzzl0VL5i+LrPjvk+n8pT1/YQHdfy6maskCOgE/C+gWKCygu3KDBXQbDBbQW6FgAd01QFhAd8BgAd3CggX0VOd2cQdPe1ER9/UU+zN9UagbP93+Tz8dmOIcrYjzzgMmT3aiMn+6GaD977Yb8PHHzt/uvBMYMSJ4X5i/4JhlqQXzlyU2gvfFdP5Mn78EZ1xfC9OxNn2s6MsMn54POAB4+23HePRoYOxYn41LmzF/pTFyW1BflN+21yhc9YPbChyNu+14XL36Obuu+It1+Yc3zn/Dc556sN4AzF9QxLJlz/xli4+gvTGdv7TnLyygB83IlOxZQCeAZwHdAoUFdFdusIBug8ECeisULKC7BggL6A4YLKBbWLCAntKsTk/YtBcVeq7K8Wr6olA3frr9T5wIXHaZE0Weu/2vfzF/unFvy//SpUDPnoUWs2cD8vl30MLjLyhi2bJn/rLFR9DemM6f6fOXoHzrtDcda9PHis7c8OX7yisB+SZevsgt3adN89XUjxHz5welQptiEf3u9UfgFzeLnQFay+qOYuMAcez5evFfWdxfm+fbjjl0DOoG1wUPXtSC+YsMYaoOmL9U4Y8c3HT+0p6/sIAeOUWTccACOoEzC+gWKCygu3KDBXQbDBbQW6FgAd01QFhAd8BgAd3CggX0ZCZxCUVJe1Gh+zJNXxTqxk+3/7//Hdhrr8IoCxcCffrk6pg/3Qx4/b/4InDssU59F7F2Wr4c2Gqr4H1h/oJjlqUWzF+W2AjeF9P5M33+EpxxfS1Mx9r0saIvM3x6fuYZ4IQTHONttsmdg96pk08HbZsxf+FgdIvot70MXPWm42fGt4Ah5+f+TW3VLs9Tr+lfEy5wUSvmLxYYU3PC/KUGfSyBTecv7fkLC+ixpKl+JwUC+qsN4mlUdWFQSiRSCUeLif5+pbgGMRfyFKpOGq0kbF3H4xT8dU0AzFrflPO0oOopUV027EbEUwkHVH0vRX9V9a0PCwtaFVGW/1v7Pqs8zisqm8iAlWj21FehkbStgNcH1V42VonwFUQ8lW05Wjz9KAeVbECvtV7bri2baJApzU88/COLF8qcGZWbKrFdlbN+UzZIvnZWOO2qqBdHTnkKVSeMNhP1S3vSA6QF3kRuQTnZicVEPdVeNm5ChcdHs8g2qjQp6hvRN5KPRQu8fbAcziew0CW2y3jUPVZ136WGDT2UxBlkFJrUoJF23nEHrFAkm8rHasJeNWjEOWm+S5CBRw0y1aJdVU8J6FSdvIDuxFVsq7gyqp5qL5u38/oI8rskWwf5vdJlS/0OFsdaLAbXBeKAZFEaGhpQXa34QfSdL2xIIZD2okI3K6YvCnXjp9u/PBJTfu28wvWz8sQTwEkn5SIzf7oZ8Pq/5hrg1lud+kGDgNdfD9cP5i8cbllpxfxlhYlw/TCdP9PnL+FY19PKdKxNHyt6siKA1xbxPKFX0eLvrbeA/fcP4ERtyvyFhzEvos+eJHYaWuD4ufEQYLTYKCCuc87b6iHzF56/LLRk/rLAQvg+mM5f2vMXFtDD52aiLVlAJ+BmAd0ChQV0V26wgG6DwQJ6DgoW0N33ThbQHTRYQLewUL0EFkRsZwE90flgW8HSXlToBsL0RaFu/JLwf+SRwMviy5d8ufxyYMKE3L+YvyQYKIxx6KGFgnmt2MLTLagH6RHzFwSt7Nkyf9njJEiPTOfP9PlLEK5125qOteljRXd++PK/667A3LmO6e23A3Jr9xgK8xcNxDtfHotfHl2HTq5vk474MXD4ReMwqmZUNOc+WjN/PkDKsAnzl2FyfHTNdP7Snr+wgO4jCbNgwgI6wQIL6BYoLKC7coMFdBsMFtBzULCA7r53soDuoMECuoUFC+hZmOLF1oe0FxWxXYjCkemLQt34JeH/xhvFVy6jnUj77AO8807u38xfEgw4MdatE2deit2I1rh2/XruOeC448L1g/kLh1tWWjF/WWEiXD9M58/0+Us41vW0Mh1r08eKnqwI6HXYMOCee5xGxxwDvPBCQCe0OfMXDcZPH/8d/ue0S2wnG8SGd9+uK0PD6KXRHPtszfz5BCqjZsxfRonx2S3T+Ut7/sICus9ETNuMBXSCARbQLVBYQHflBgvoNhgsoOegYAHdfe9kAd1BgwV0CwsW0NOe3sUaP+1FRawXQzgzfVGoG78k/E+fDhwmtonMlw4dckdjdhNHKTF/STDgxHj7bbGF5wGFMeXOq3Kb/TCF+QuDWnbaMH/Z4SJMT0znz/T5SxjOdbUxHWvTx4quvAjkd8oU4PTTnSZykrdkSSznoDN/gZjwGD980kCc/dS/7Pp3qoD9Lkpm+3YZlPmLxl/arZm/tBmIFt90/tKev7CAHi0/E2vNAjoBNQvoFigsoLtygwV0GwwW0HNQsIDuvneygO6gwQK6hQUL6InN45IIlPaiQvc1mr4o1I1fEv5XiXlYmTgCQp6Hni/TpuVEdeYvCQacGHfdBYwY4fx7550Ld1wN2hvmLyhi2bJn/rLFR9DemM6f6fOXoHzrtDcda9PHis7c8O27qQno06fQfPZs71t7vh06hsxfCNBam8gz0Pc5pxZDP3d8jD8QGCmOV5KFz0APj+1/S0sef1s206bzl/b8hQX0LWR8uBOl3Xv/RLuq7Qt6vqm+q/dKvlJcHFWvsl1M+BBfkpBlJVHr2jaw4K+qetcDt5LUBBHQuxDexIuSZKHOfqXqZGOV+FA0n7TiUHWK+m7Vi8iuVXRt9tRXQkxgiVJB1FdhIWkbxEclvH2QTsvhFed6gUog2rZ8+XKyb52+JqopHVCaqQR0ql5lS+XmxpLZWNpAfIXlKVQOS6POCndUzm4bwFbx1dHX5Z08TpZ2oJO+hUj6FsE+VZpQ6akOYisbN6PC44Pyq7JtFK+YkH1r8fZt/XwFmPMJD6p7JmUrmwe571K29FACOcRU92hsJi5EvC1OFmrgScMVhPVqhQ+qfr3CNsjNn3KhGkze3M61puwpUV3aBhHbqRxSDVKib9RvleyC6jcoyFnladq2iIFxST8L+YaGBlRXVyvygKujIJD2oiJK3/20NX1R6AeDLcFm//2Bv/3N6emYMUBdHQvoSXN30knAU085US+8ELj33vC94PEXHrsstGT+ssBC+D6Yzp/p85fwzMff0nSsTR8r8WdESI/F56Dfcgtw9dUhnTnNmL/SEM76chZq+tcUGErx/LqXa7FsHNDV9bhl/JU1GNl1lm2rW0Rn/krzl2UL5i/L7JTum+n8pT1/YQG9dA5mwoIFdIIGFtAtUIKI3yygu/KIBXQbDBbQc1CwgO6+z7KA7qDBArqFRZSv1VlAT2QumfaiQvdFmr4o1I1fUv5HjgTGj3eiHXooMGMGC+hJ4S/jbBbvy/XtC8iPxPLlwQeBc88N3wsef+Gxy0JL5i8LLITvg+n8mT5/KcX8Sy+9hGPkOdKtZYx486xOvnmmoZiOteljRUNKhHN56aXAb3/rtD3iCODll8P5crVi/tqGsG5GHcbOHFvwNbkUz2un1WI/8b762/cVtm/8zwd4aMFL1t/zRaeIzvxFHgKpOmD+UoU/cnDT+Ut7/sICeuQUTcYBC+gEziygW6CwgO7KDf4C3QGD+lqdv0C38WniL9BbseAv0J1Bw1+g21jE/bU6C+iJTBbTXlTovkjTF4W68UvK//PPA8cf70TrLHbVkeegd+q0EYsW5XZY6t27NzrIA9K5aEFg3jxghx0KXf9LHIlZXBckOI+/IGhlz5b5yx4nQXpkOn+mz1/a4nqVOPtkV/E17xdffGGbsYAeZHQU2po+VsIjE3PLJ58ETj7ZcbrNNsDSpcBWW0UKxPyp4ZNfng+aPMg2kEK4LHlxfORfgTtecdp/1qcTBi5ch7zA7vasS0Rn/iKlf+qNmb/UKYjUAdP5S3uuyAJ6pPRMrjEL6ATWLKBboLCA7soNFtAdMFhAt7DgLdzd907ewt1Bg7dwt7CI8lV5Hkw/YjsL6IlMGNNeVOi+SNMXhbrxS8q/PJGnp3hhb9MmJ+JrrwGHHMICelIc/OEPwHnnOdEqxGk4X4njYdq1C98DHn/hsctCS+YvCyyE74Pp/Jk+f2mL+eHDh2PChAmoEDfq5ubcUXksoPNYCY9AQi0Xi/PlxMuQBeWNN4Cawq3Fg/bG9HtdUDyK7SkxPG/z2pPdMeRD57i96UfuhL9dd37B1+dtWrU0AAAgAElEQVRufzpEdOYvKsPptmf+0sU/anTT+Ut7rsgCetQMTag9C+gE0CygW6CwgO7KDRbQHTBYQLewYAHdfe9kAd1BgwV0CwsW0BOaxSUTJu1Fhe6rNH1RqBu/JP3vuy8wZ44TcfRoYPRoFtCT4uCii4BJk5xoP/pR4XnoYfrB4y8Matlpw/xlh4swPTGdP9PnLyrO33vvPey3337o2LEjJk6ciIvkzVsUFtDDjJJcG9PHSnhkNLTcYw/gH/9wHN9wA3D99ZECMX+l4aNE9FuH3IyfHXUdtlvtPO/59S/2w+Xlf7MdFn+xLv/wxvlveM5TL90DtQXzFwW99Nsyf+lzEKUHpvOX9lyRBfQo2ZlgWxbQCbBZQLdAYQHdlRssoDtgsIBuYcECuvveyQK6gwYL6BYWLKAnOJPTHyrtRYXuKzR9UagbvyT9X3klcOedTsRDDgFee40F9KQ4ELsBY+5cJ5rkYsSIaNF5/EXDL+3WzF/aDESLbzp/ps9fKPYlp1I8lyL62LFjxS4th2DIkCGWKQvo4ceL6WMlPDIaWl5+OfDrXzuOZf7KLYciFObPH3jFIvrtfc7BlcP+WNC43xXA/B65KvfX5vm2Yw4dg7rBdf4C+rRi/nwClVEz5i+jxPjslun8pT1XZAHdZyKmbeZOlO7/fhftq6sKurR8fqW3i/MV+/SJLfw8haqTRmJnHk+h6qTRSsKWqpNmaxSIqur9EkBpIrJtF8IBJTBKM6qe2qJW2qrEB6q+j+IiqPo+NBC9t89t6+UuQQT0SnjbS19qH9Hi9UILedHlRH05mWzAdku8WLSj3QJi21CyfB0gN9cStlSdNNvgNzEVdqp8VR0LSuVxV4Vvqr51Au1pQZyNvqq8Pel4WWfvYFgGeoAsJgZIM8Q+okRZjHKyvllkZ3FpIuqkDeVbZdtE9KN5LXEfFX4j319l5+YTl6e671L1qvsuZSvOmlWA7K1W3aOxPsBgWh3AVjVoKB+qPgQZd50CDD6VLXU2epDz0rdV9IGIR41x2Vr1G0T9XgURxYP8tkWxXSIGwPB+Fg4NDQ2orq4OQiLb+kQg7UWFz26GNjN9URgamAw2fPFF4NhjnY7JIzFbWjZi5Uo+A103XUuWAOVFU6rZs4EDDogWmcdfNPzSbs38pc1AtPim82f6/IVi/07xZtOV4m2zgQMHio94/4HZ4kbNAnq0cSJbmz5WoiMUo4dnngFOOMFx2LkzsEw8iOiiWtCWjs38lcYob+EW0S8WH5r/Tsy986VePPf7thDQZaG2apfnqdf0j7bdPtVT5s8/f1m0ZP6yyIr/PpnOX9pzRRbQ/ediqpYsoPuEnwV0G6gKNHlAYwHdBYlKOGQB3QKJBXQnV1hAd99KqLdRWEB3EKKEdRbQwQK6z0lMNLO0FxXRel+6temLwtIIbDkWX4ufCnkOuvjAzi4vv7wR3/seC+i6WXzhBeC445wo8jm2PJdevsQQpfD4i4Je+m2Zv/Q5iNID0/kzff5SzH19fT12FVuFfPPNN3j11VcxdOhQzJgxgwX0KIOkta3pYyUGiOJzsXRp7o29za5d7qZPBwYPDh2D+QsGXV5Ef+QJ4IyPnLYP7Q6ccyItngeLEMya+QuGV9asmb+sMRKsP6bzl/ZckQX0YPmYmjUL6D6hZwHdBooFdFfO8BfoOTD4C3Q7KfgL9FYo+At0142Cv0C3waC+Yucv0H1ORNIzS3tRofvKTV8U6sYvaf/77w/8zTl6Eddcswm/+EVuZ6PevXujQwfVdjtJ99SseNdcA9x6q3NNgwYBr78e/Rp5/EXHME0PzF+a6EePbTp/ps9fijPg6KOPxtSpU3HWWWfh4Ycftv7MAnr0cSI9mD5W4kEpRi977w1xDoHjcPRoiDMJQgdg/oJDN+6NW3HOMdegyvVc58LjgR2uGodRNaOCO4zQgvmLAF4GmjJ/GSAhQhdM5y/tuSIL6BGSM8mmLKD7RJsFdBsoFtBdOcMCeg4MFtDtpGABvRUKFtBdNwoW0G0wWED3OenIllnaiwrdaJi+KNSNX9L+R4lndrff7kQ9+ODNeOKJ3O5ILKDrY+PQQwsF86uvBm65JXo8Hn/RMUzTA/OXJvrRY5vOn+nzF3cGPPLII5ZwXlZWhk8//RSVlbkjxOIS0CWWbZWFCxdaZ6/LIr+EN+1YJTlWFi/OnX3Wq1cvflkv+u2nTQ/txDEE7SdMsG0219Rgk9hNIWxh/oIjVz/7JXx3kFDMXWX/Edvhzdtyuz4lWZi/JNGOPxbzFz+mSXo0nT85vxkwYIAFaRrHQrKAnmQ2R4jFArpP8FhAt4FiAd2VMyyg58BgAd1OChbQW6FgAd11o2AB3QaDBXSfk45smZn+ANp0ASFb2RS9Ny+9BBxzjOOnU6fNQixowjbbsIAeHV3aw7p1Yqon5npr1jh/f/75wvPow8bm8RcWuWy0Y/6ywUPYXpjOn+nzlzzvS5Yswc4774zm5mb8/ve/x7Bhw+yUiEtAb9eune80e/fdd1FVVeXbfksw3LRpkzi2RJxbIh99iB/E9u3bbwnd3mL72FkcQbDdj39s939zp05oEi+GWJO9EIX5Cw7aG9eehlMecLYaairrhOOv3wPn7nkeTtrlpOAOI7Rg/iKAl4GmzF8GSIjQBdP5a2xsxN5y1xNRWECPkCimN3UvKrZvmI6O1X0KLrmxxTvxXT9fce7qVwRaVJ00o+pzL3R6yzKiTiXOuB7sFLSi6jcEYFcloFP14kxAsnQjalVb1wbZ0pYSJGQoqr6a7lqXPks8f6jskdsOs7hUEmegV8C/rfRH2VN+pW05Wnz1QWVbDjqxeq31+u3asokGiBLKpWVuDVVYqDppsYqwVeUrdV56kHxVpCCC5HFXhZPORL3KlhLWFWL7enGmaXFZ1oMaNBAZIc7EKiqLiTpp0kIOBNpHE3Jv6heXZpGxxUVlS/VNZUuK7U10HzbNV4BM3UtVHwgEuUdTw0Z1jw5iS93PJbjkWHCde1ZAwAqCJdV56d8QtqrBtF41ciLWBxHQg9h2V/SLeMAV5HdJeqV+g4L8XgX5DYtiK89Av6qfhUMak92IibHFNDf9AbTpAsIWk2g+O7pC/ARst13hOehTpizBIYes4y/QfWIY1Oytt4ADDyxs1SKm0fI8+qiFx19UBNNtz/yli3/U6KbzZ/r8Jc//T37yE0yePBn7izNO3nzzzQJxlwX0qKMk1950ASEelOLz0k5M9irESyHtxJf/+bJkyhSsO+SQUEGYPxq2uYvmYpfeu3j++OTcJ7HL5ddhyIfOw5sX9inH2DO/Y9ketcNR+Pm+Pw/FRZhGzF8Y1LLThvnLDhdhemI6fyygh8mKGNq8JD6LOMb1WcSYMWNQV1dX0vPHH3+MiRMn4lXxpt2CBQvQrVs36y1SuQ3TT3/6U3TsqFK+Srpu04AFdJ/4BREegwgVQQQJ2VVKFGcB3SaREttZQHfleJA8ZgHdBo4F9FYoWED3+YNRbBZEFA9iywI6WEAPmZPBmpn+ANp0ASEY21uG9QEHAG+/7fT1l79cidralSyga6LvjjvEu0pXOc53Ec9axdI1lsLjLxYYU3PC/KUGfSyBTecvS/OXDRs2oJP4ijZqkUL5eeedZ7vJC+QdOnTAnDlzsOeeexaEiEtA5y3ceQv3qLkbtH178eZeu3fesZttqq3F5ptuCurGsjd9C+IwoNz0+k24+Y2bcdOQmzDioBG2i/Fvjsfoaddi4W0bsJ3rI4ff/HxfDK9837YbMmAIXjzrxTChA7dh/gJDlqkGzF+m6AjcGdP54y3cA6dE9AarVq3Crrvuii+++MJ25kdAv//++3HJJZdg7Vrqs1PgAPGU6HmxT155ufery6i9ZgHdJ4JBhEcW0G1QVV+V8xforRDxF+h2rvAX6DkomvkLdNdNmb9Ad8DYmvixYgGdBXSfc5iIZll6AB3xUsjmpgsIOjBL26d4horbbnN6se++6/Dss0tYQNdEjHw3XG6dny9yd2CxS3AshcdfLDCm5oT5Sw36WAKbzl+W5i86BHT5/HD33XfHZ599hiuuuAJ33XWXJy/iEtBLJVyWsC7V1zB/N32shMFEe5viyZ7cCkfssBCmMH+FqM36chYGTR5kV44bOg6jakbhtlm3oXZaLfZeAMyZVNjmiw9nYdj7N2HqvKnOfHDvYfj9cTFNCNsglvkLk/XZacP8ZYeLMD0xnb+05y//lWegDx8+HBMmTEBFhZAHxflDspQS0P/yl79YX6zLLREqKytx7bXXWlsvyXOMJk2ahKeeesryc4jYqmb69P/P3nWAWVFk658kOQhDckcEEyrmgEoQMC24hlXAgGHFjPoM7BJMy6Cuoq5ZMSv6XGFVTBhQQVEwI+aAz4CMEmdgSJLh1enLvd333uq53be7urprTn2f3yc9VadO/f+pvlX9V3g79Lt2WED3+PpgAT0DFB/h7ogZPsI9BQYf4Z4JCj7CfQsUfq7koCJ8hPsW4HgHeqYzebkvnXegexzEBMume1IRzPvCpU2fFBZGIHk5xPQJffvaftetuxmzZy/CdtuVgHbhcQoPgfXidhM6qn2l4/oscYoqTjwxnDq4/4WDoy4rzJ8u5MOp13T+4jZ++Z7ucA6Y2rdvb93BTWn8+PEYNGiQdVol3X1Op1jmpm+//RbXXXed9bh///4YMGCA9f/0zbFTp04BvbGLxw3r0Bq2xZDpfSVsvEKxlz/YA5YuhQh03+aZv3zI0mJ5+i99d+ibEceHzQBunmKX+al1XTzz3HW4YuoVeYbS4rtvUnwUYP58gBXDrMxfDEnx4ZLp/Okev9Q4AX3WrFno2rWrNXilo9jPO+88KxyrE9BpFSod0/7jjz+iWbNmIBs77LBDVhjTzvSxY8dazx5//HGcccYZPsK8cFYW0AtjZOVgAT0DFAvojphhAT0FBgvomaBgAX0LFCygO14UfkRxP3l5BzrvQPc4hgmYTfekIqD7BYubPiksCEACM5CYS/egi6lUJo0fvwQDBzZnAT1kPmX3ny9YALHwO5yKuP+Fg6MuK8yfLuTDqdd0/kwfv4wbNw6DBw8uKhhyj4IvyoijkOlYm95XgvKvpLxssEfH4ThXUHqsmPmTA5UroqdzzfhvY3T/blWm0DO9SnBiH/sDj1Nsp0yqRXTmz2OgxzQb8xdTYjy6ZTp/uscvNUpAp2Ai8ZwE8NGjR1u7xfv06WOFYnUC+jPPPCNW76eW7994443i7j5xHmFO+uOPP1BaWioW2i3F7rvvjq+++spjiHvLxgK6N5xYQLdxYgHdETMsoKfAYAE9ExQsoG+BggV0x4vCjyjuJy8L6CygexzDBMyme1IR0P2CxU2fFBYEIKEZunUDPvjAdv5//melOAmsIQvoIfMppqi48krbaJj3n5NV7n8hExaxOeYvYsBDrs50/kwfv7CAHnKHqMac6X0lOiR91tS9e/ax7cOHZ9/h49Ec8+cO1JCXh+D+T+/PZDimw5GYcP4baCROIEqn/kK2eG631L9yj3tP55k+eDp6dOjhkRF/2Zg/f3jFLTfzFzdG/PljOn+6x4o1SkD/97//jWHDhmHnnXfGl19+KT7mfOBJQD/11FPx1FNPWZE7f/58tGvXThrFF4iL5h544AHrb3S/0U477eQv2qvJ7QyUzuWTUK80ezvBvI3b5JVe8lsbucXfJB/+xQ4FaZKJK26Ci+y54xjBLPtuz2XHA7vdP+0HXdnOdLc70GXP3U4fauHihOy57JhbKi57Lg8xoJ1jdLSl6palqWsIclOrOvmEtIU8bxh3oLfBwjwfSlAp9U12t3oJ5IHVSmKjxSqZIg40WOLChx8BXZbXXtSZXcFaSX2OXVZZf5U93+gniEVe2WmnbnFcX2Jb9oyypU6Xy04+xPbNreTtWNoy37kqyDtNpbQjQLCfb7zCJe8i5L/z/ORdCPk2LZldt7yVq+RgrPytdT5Ibu/d3yR4+nlH+8nrV0Cvkvgme0bZfL27899twGqXDiLL69bxZHnd+p2bKC77AfEjoLvllfjh9lvj5zfIT94wfsO8/N7xEe4+X/bFZdc9qSjOa++lTJ8UekciWTlJ1CVxN532228dPvqoDgvoIdP45z8Db7xhGxWHo+Gee8KrhPtfeFjqsMT86UA9vDpN58/08YuXSOA70L2gVDiP6X2lMAKaclx9NfCvf9mVH3AA8PHHvp1h/qqH7PAnDsfUX6ZamXrOAd4dZ+ffJP63tVi3sKRR/k7z9A72Ub1Goax3mW9evBZg/rwiFc98zF88efHqlen86R4r1hgBfc6cOejSpQtop/iUKVNw2GGHwesgtUOHDigvL0fnzp1R3X1I6buNKLgfffTRoo9pknUOFtC9vjJc8rGAbgHDArojPuQaPMACegokFtAzwcICuqPfsIC+BQwW0DNRwQJ6wAFKeMV1TyrCa4nckumTQtX46bJPoi6Ju+lUp85mVFZuEnfD8h3oYXGybl3qqHwxzc2kZ5+le3TDqoF3oIeHpB5L/P7Ug3tYtZrOn+njFy9x4PXbpBdb1eUxHWvT+0pQ/pWVnypE3cMPt83Xri12QojNNC3cVmvzWL9YLtI70cveFifpvmNbmSU2Ye13gfsx7TPmzlC28zztBfe/YlmNRznmLx48FOuF6fzpHr/UGAG9X79+mDx5Mmg3+ZNPPmnFo5dB6kpxnwvde75582Ycd9xxeOGFF1xj+bPPPsO+++5r/Z12ut98883Fxn1eORbQA0LJAroFIAvojjhiAd0Gg3egW1jwDnRH/3DbVc4C+haQWEDPRAsL6AEHKOEV1z2pCK8l/FFNNZZR2l8lTvGh76fOe9BfeWUjjjqKBfSweHjvPaBHzmmcixeLQ67cTr8qomLTP8oUAUmiijB/iaIrz1nT+TN9/OIl+rx8m/Rip1Ae07E2va8U4lfb31eLk+NoJd9axxGNRazkY/68MUg7yrsPGoke5Xb+W8SVSZtuGoMRPUZ4M6IgF/OnANQITTJ/EYKtoCrT+dM9fqkRAjodv07CeQvx9YZ2kLdtmzqm18sglfLvuuuuVv6LxFl491RzFl5FRQVat04d03vyySeDdqR7TRQI1SU6Op7ub6fER7h7RdWRjwV0CwwW0B0xwQK6DQYL6BYWLKA7+gcL6AV+QFhAzwDEAnoRgxI1RXRPKtS0yrZq+qRQNX467edejTls2Cax0FjsTuIUCgLXXw9cc41tas89gS++CMV0xgj3v3DxjNoa8xc14uHWZzp/po9fvESDl2+TXuwUymM61qb3lUL8av37kUcCb75pu3DeeRB3nPpyifnzBtf6ZUuBli1Rj85t35JO+FsDPDfO7Qo8b3aD5mL+giKotzzzpxf/oLWbzp/u8YvxAvqSJUssAXzRokW47777QPeUp5OXQeonn3ySEa5HjBiBMWPGuMb0arHqrlEjceGISEcffTQmTZrkOf5r1arlOS8L6J6hsjOygG5hwQK6I3ZYQLfBYAHdwoIFdEf/YAHdAQbfgW6B4baTkQX0IgYlaoronlSoaZVt1fRJoWr8dNq/6irghhtsD7p23SzuQfc+99HpexLqFjeT4a23bE8vvRS4445wPef+Fy6eUVtj/qJGPNz6TOfP9PGLl2jw8m3Si51CeUzH2vS+UohfrX+/9VbgH/+wXdhuO+CXXwAf37qZv2wG3Y5dv6fsL7h49KuZzOvFmtStxcbza45K7UCP4rh2Wawxf1p7YODKmb/AEGo1YDp/uscvxgvoZ511Fh577DEceOCBeP/991Gb7mLZkrwMUqdPn45DDjnEKnGNWNp/7bXXunaITZs2oU6d1HGEdMc63bXuNfkR0Pctn4D6pamd7uk0D9vkVbVwWRtp9Wt+a5n/fIGLp7LnFS55Zc/dRJiVLjbWSJ7LnlG2DV7Rdckn00QoawNJ/iYuNtyeexEU0iZlooSbUCHutclN9dotlzrXqlU+IX4F9FYQ9xblpLZCZpSlNljkOa8fu7K8LSAPrBbL5IFVb4nEYz8CultexwlVmRpkz+iPsjjeGDCGqbjbCaiy+K7vUp/svnO32JbllQnwVJXkVbO8lXzn7tI68vuxKiWqXRXkeRci/50nK0+uVaJVHhh+BPQKFzVRdl86VSTLv/h3+TsaCyQvIT/vaLe8sne0n/c5NcTPEe6yvH7e/b7e8ZtdgtuXER8d0u0HxIcgJPutkT0jr/z81vjJ63Ytney5n7y5v2FLxCk7w7e18C0vL0dpaakPrDmrVwR0Tyq8+llsPtMnhcXikoRyNCU64gjbU7oHfcmSWuKarCR4H28f6bRUOiJ/jWOcSTeOiZvHQk3c/0KFM3JjzF/kkIdaoen8mT5+CTUYAhozHWvT+0pA+tUW//prYI89susQJ7qic2fP9TJ/NlRl08ow+p3RGHNY9rHsdHx7neEj8Y8P7LwzxDS759mpf/fdoS8m/zQZo3qNQlnvMs/Yh5GR+QsDRX02mD992IdRs+n86R6/xEJA3yAuxatXz+04VO9hREL5mWeemSmQFshJ1J45cyb23nvvLGNeBPSodqD7OcKdBfQtNAbVRVhAz/QHN1Hcj9DNAvoWOFlAt9+zLKBnsGABfQsULKDb/YMFdO8DPM7pCQHdkwpPTgbIZPqkMAA0sS/6xx8k8m7G+vX2IiMVIm/sgVDg4DvvAL1724Zpo1elWP9KV5GGmbj/hYlm9LaYv+gxD7NG0/kzffwSZiwEtWU61qb3laD8Ky2/WSxop0XS8+bZ1dx5J3DJJZ6rZf5SUNEO8p6P9czglhbRSTwfOXUkPr0f2NexaeKxYzvgrH3n5uE8ffB09OjQwzP+QTMyf0ER1Fue+dOLf9DaTedP9/jFWAF9rViOv6e4AO6HH37A5Zdfjttuuy0vFr0I6FHdgV6oozgDhQX0LWixgG4BwTvQ7d7DO9AdbxLegW6BwTvQHTHBO9AL/dT6+DvvQM+A5eXEFd6B7iO2is+qe1JRvOfeSpo+KfSGQnJz9emzGdOm2QL6kCHA2LHJbU9cPB89Gigrs73ZZx9g1qzwveP+Fz6mUVpk/qJEO/y6TOfP9PFL+BFRvEXTsTa9rxTPfEQlBw8Gxo2zKzvqKOCVVzxXzvzZUKXF8vST9M7ylmJR6uKbAftsXeCj/9yMsk1vWTvPnflfO+01z9iHkZH5CwNFfTaYP33Yh1Gz6fzpHr/EQkCnQCGhOmhq3749mjdPnSU8fvx4DBo0CHXr1rXuPm/SJP9M02+//RbXXXedlb9///4YMGCA9f903HunTp2s/1+5ciWaNm1q/f9x4iy8F2i7hEv67LPPsO+++1p/HTZsGG6+WfyqhZRYQJcAyQK6BQoL6HZssIDu6CcsoFtgsIDuiAkW0EP6RSYzLKBnwGQBPcS4CmZK96QimPeFS5s+KSyMQLJz3HjjJlx5pf25b4cdgB9/THab4uA97T6nXejpNHQoQNeQhp24/4WNaLT2mL9o8Q67NtP5M338EnY8BLFnOtam95Ug3EdSdsIE4JRT7KoaNYK4sweo73aXYLZXzF82HrkiOv21/zfAs8/Y+f4Qh/ne8co/cdX7+dfN5h7/rjoGmD/VCKu1z/ypxVe1ddP50z1+iY2AHnYgjROr3gbT6rciUu5R8B06dLDu7Ows7m6pTuhPi/ZU5aOPPlp0/TKXWUCXoMICugUKC+h2bLCA7ugnLKBbYLCA7ogJFtCLGBG4FWEBPYMMC+ghxlUwU7onFcG8L1za9ElhYQSSnWPmzI044IA6WY0gAZ2EdE7FIbB6der+83Xr7PKTJgFHH12cvepKcf8LH9MoLTJ/UaIdfl2m82f6+CX8iCjeoulYm95Ximc+opJ0h0zr1gAd555OU6YAhx3myQHmLx+mfk/2y9pZ/sQbTXD6+/a9eO/u0hC9ThYDwi0pvVM9/e8oRXTmz1OYxzYT8xdbajw5Zjp/uscvLKBLwjBXQKed7CSOU5o/fz7atWsnDd4LLrgADzzwgPW32bNnY+edd/YU5F4ysYAuQYkFdAsUFtDt2GAB3dFPWEC3wGAB3RETLKB7+bn1mIcF9AxQLKB7jBn12XRPKlS30PRJoWr8dNtfv34jttkGqKiwRXQ6wp2OcudUHAJvvZX9Tbq22OBPG722HMhWnFGXUtz/QoUzcmPMX+SQh1qh6fyZPn4JNRgCGjMda9P7SkD6oynetSvwySd2XcOHAzfd5Klu5i8bpty70Omv398NdBbrFNJp+OHALVuuOc+9Kz2dJ6q70Jk/T2Ee20zMX2yp8eSY6fzpHr8YK6B7iS4vd6CTnaeffhonnXSSZfLGG2/EyJEj88z/8ccfKC0txdKlS7Hbbrvhm2/EuSohJmegdCt/DA1KS7KsL0LbvNoWSp5RpsW/t8n37LcGcm9lgssCl4bJ8la55LUXzGVnkD1f42LD7XlQ3GVQuMCD/JsBUrXLnstEBsqbTWWqvOyZ2/N2jtWdjrY3aZdPSJvGi6TolEBGHtAG+fnbYqHURishVeYmt7wyu24+yOy2cvG3BeQBt/WS/GCple9uyv1lkuYt9xHHq1zyrpU8d1sEstHFhp9FI34EdNmJWm4x31jiW+rmjPwky9tSnnVVK+ctTnaeqvr5HacK8s5UIek4lWglrVD2XFaeCi8SPSE3+clLZSskfsje21beZfk+r1ngApzsfez2jpY9l3d9clieZF3MLa/sfe7nN8HPu98tr58+49JkX49l/c5Na5f1MbffFD+/QW42ZN3G7Xcp7Lx8B7qvMCo2s+5JRbF+ey1n+qTQKw5JzUf8nXjiOjz3XMNME8TtWOJ6rKS2SL/f11wDXH+97ccBBwAff6zGL+5/anCNyirzFxXSauoxnT/Txy9qoqI4q6ZjbXpfKY71iEvlDk722gv4/HNPTjB/+TCVTSvD6HdGg3aWfzVrMn67PTvP/ucCn/4JyN1pnj7+fVSvUSjrXeYJ/4SPur4AACAASURBVKCZmL+gCOotz/zpxT9o7abzp3v8wgJ6nz5WjI4aJX5UyuQ/KuvXr8euu+6Kn376Cc2aNcOsWbPEcYPZ5w1edNFFGEvbKETK3cEetBNQeRbQJSiygJ4ChQX0THCwgO7oJyygW2CwgO6ICRbQw/g5rt4GC+gpfHIFeBbQ1cdezliRrh6ihZ0mJdMnhSZxJWsL8Td27Apccon9gmjaVPxOiwWN9cT9jZz8I9BD7Dh67z27nI9NXr4r4/7nG7JYFWD+YkWHb2dM50/3R1HfhCS4gOlYm95XEhF6M2YAPXtmuypOchVHuRZ0n/mTQ0Q70Xt06IF7LzoQF421V0ouFYvsS8QG/xuOGIMRPUbkFU6XKwh8SBmYv5CA1GSG+dMEfEjVms6f7vELC+geBHSK5VdffRXHHHMMNm3ahLZt2+Lqq69GV3E0De04f+ihhzBx4kQr5HuILxm0s71Onew7/oL2BxbQJQiygJ4ChQX0THCwgO7oJyygW2CwgO6ICRbQg/4UFy7PAnoKIxbQC8eKghy6JxUKmpRl0vRJoWr8dNsn/r75phJ77ZV9qsu77+Z/Z9XtaxLqXyVOPNp6a0Cs884kMV1Fv35qvOf+pwbXqKwyf1EhraYe0/kzffyiJiqKs2o61qb3leJYj7gUDUxKxJGayx3HOD7+OHDGGQUdYf6qh+j9Hh3R7b1fM5me2wU4d3BLVA53O16zIOShZmD+QoUzcmPMX+SQh1qh6fzpHr+wgO5RQKeoJqH84osvxrp166RBToL6K6+8IsYKbudvF983WECXYMcCegoUFtAzwcECuqOfsIBugcECuiMmWEAv/kfYa0kW0FNIsYDuNWJCzad7UhFqYyTGTJ8UqsZPt/00f4cf3koI6faW86uuyj6GXLefSan/zTeBI4+0vaW122JdN2hXv4rE/U8FqtHZZP6iw1pFTabzZ/r4RUVMFGvTdKxN7yvF8h55uRNOAJ5/3q520CDgP/8p6AbzB7jtGt+4bi2WtWiAlqttGM89Bnh4v9Tx7d07dLd2qetMzJ9O9IPXzfwFx1CnBdP50z1+YQHdh4BOHeHrr7/GXXfdhalTp2LevHlo3Lixdbz7qaeeinPOOQd167pddhqsG7GALsGPBfQUKCygZ4KDBXRHP2EB3QKDBXRHTLCAHuyH2EtpFtBTKLGA7iVaQs+je1IReoNyDJo+KVSNn277af6uv74J7r23ScYdlfd2626zyvqvvBK48Ua7hoMOAj74QF2N3P/UYRuFZeYvCpTV1WE6f6aPX9RFhn/LpmNtel/xz7imEvffDwwZYldOm8wWLgRq167WoZrOX/q+89z7zAm02/7dH0OHPZeFX+nlwO/N7UdR3ncuI7Km86ept4VWLfMXGpRaDJnOn+7xS40W0LVEdJGVsoAuAY4F9BQoLKBngoMFdEc/YQHdAoMFdEdMsIBe5C+wj2IsoKfAYgHdR9CEl1X3pCK8lsgtmT4pVI2fbvtp/mbM2AoDB7bMuFOrFrBoUeq0T07eETj4YODDD+38V1wh7sC8wXt5vzm5//lFLF75mb948eHXG9P5M3384pdvlflNx9r0vqIyNkK1/csvwPbbZ5ucORPYT2yXribVZP5o53nPx+y7450i+k0zbsKGK0fiquk2eLO3qY8X/jsaI6eOzEJ0+uDp2nai12T+Qu0/mowxf5qAD6la0/nTPX5hAT2kQFVtxhkoh5Xfh4alrbKqXITs+wTpjwvRVurWwmX5edcssD9kZRWSCS6yZ1SoQlJdlQsybs9XSvLLnlG2DZK8smdued0OC/AjgNgbaLKdkT13yyv7YJgrPqSty/K2k2Ncu524HDEntWorvxunREoeRFSJL5o5yU/eVi5220rsuuUtERJoXjskzyiPm42tN+YHXLNKx6WRzgqWSPBc5hLHsuf5sKcKyxZ8rHWx6/bcLb5dzOQ9dot5cexnXmrgYrSx5LnsGWWTPXeskM2y5PJ8jeTVVNVYnrkqT7UDZM+o3goRLbmpEvKv9zIR3u396ibYy+pb5PKOlvq2Ue7bkgX57cACF/LCENBl73nZMwJX9p53e5/7ySvrS24LqtyeB+1Lbn3Oz++HjCa3fuf23M9vjZ+8st8gt98lL3mX/AYM3dZCrby8HKWlpV7fWpzPBwK6JxU+XC0qq+mTwqJASVChNH9rxRhnt93a4o8/hHK+JY0fD5x8coIao9nVKvGbSQsOxLXymfTGG8ARR6hzjPufOmyjsMz8RYGyujpM58/08Yu6yPBv2XSsTe8r/hnXWGLnnYH/+z/bAVrlR6v9qkk1nT8Syp2COInolOjZLLGpfx/H95ypA/fHzEsG5Anost3rUUVBTecvKpxV1cP8qUI2Grum86d7/MICejRxHLgWFtAlELKAngKFBfRMcLCAXuBVwwJ6BiAW0LdA4SZ++3nOArrd8VhAT2Eh24HOAnrgsWAhA7onFYX8C/p30yeFQfGJe3knf2ed1RavvWYL6IMHA48+GvcWxMe/iROBAQNsf+rXB5aIBaCNGqnzkfufOmyjsMz8RYGyujpM58/08Yu6yPBv2XSsTe8r/hnXWOJ//ge45x7bgV69gGnTqnWI+QNyRXQCbJvl4qj227Khu+lfR2Hk+leleOoS0Zk/jf0thKqZvxBA1GjCdP50j19YQNcY3H6qZgFdghYL6ClQWEDPBAcL6AXeKiygZwBiAX0LFH6EcirCO9Cr72QsoKfwYQHdzxAvtLy6JxWhNcTFkOmTQtX46bbv5G/8+DYYOtS+B3ObbYDfxEEVdJw7p8IInHMO8Mgjdr4jjwRef71wuSA5uP8FQU9/WeZPPwdBPDCdP9PHL0G4D7us6Vib3lfCjgel9l5+GTjmGLuKumKiTKv9mjZ1rZb5S0GTK6KfNUuM+16yYasSp9O1HiYOZd1ykqRzp3o6lw4RnflT2qOUG2f+lEOstALT+dM9fmEBXWn4hmecBXQJliygp0BhAT0THCygF3jnsICeAYgF9C1QsIAe3g81WWIBPYUnC+jhxpVHa7onFR7dLDqb6ZPCooFJSEEnf5WVrbH77tn3x3z9NdClS0Iao9HNzZuBbcWNGL//bjtx++3AZZepdYr7n1p8VVtn/lQjrNa+6fyZPn5RGx3+rJuOtel9xR/bmnOvFHe3tRT38a13XJ344ovAsce6Osb8paDJvQ/92f8C/b+zYXt6N+CkE1P/zr0r3XkEfNT3oTN/mvtcwOqZv4AAai5uOn+6xy8soGsOcK/Vs4AuQYoF9BQoLKBngoMF9AJvFBbQMwCxgL4FChbQvf4Me8vHAnoKJxbQvcVLyLl0TypCbk6eOdMnharx023fyV9JSWvssEMdzJ1re3XrrRC70nV7Gf/6v/wS2GuvbD+/Ex9Vd9lFre/c/9Tiq9o686caYbX2TefP9PGL2ujwZ910rE3vK/7YjkHuQw8F3n7bdmTIEGDsWFfHmD8bmrJpZRj9zmjUE9+9K24Gmq2z/3bmccDj+2SL5+m/pnevj+o1CmW9yyINAuYvUrhDr4z5Cx3SSA2azp/u8QsL6JGGc/GVOQPl6PLb0KhUrORzpIVom2d8EdpIK1y4MT/vkgWt5M4tEGfD5KYFLu0IerQvmRWLFPOS7BllWiPJKxPVKZvbc1lTggogZLOJxLDsGWXLFRrcntHzEold2TOXvA3aiSOTZCaaV0qft0L+87ZYqCSvm/jdFovy6pP5lYJtqbx9kna0WFslzdu4clP+c3HnkDQtkzyVPaNsqyR5ZTFM2da61Cd77ie2XcxKd81mbwyzS0peCRB3b8rBlDxt7JK3uffn67Nff5mCVc3zO1mVtIMBsueVkL8HKyQdzz2v3EZlQBuy8tRwmR8Vy+Q+rFkgAc5NQPfznpd3Jflx7255Ze95t7yyfuP2O+HWP/z8frj1G6/P3RauyJ7L+hfV4+e522+Nqt8lmd3c37VKcTbzpWLLpEjl5eUoLS31ih7n84GA7kmFD1eLymr6pLAoUBJUKJe/Cy6og4cfthsQxTHkCYLL1dWbxUfUESPsP3fsCPz8s/rj77n/JTt6mD/mL84ImD5+iRP2pmPN77o4RZvw5aabgJEjbadoDkirJ13u7GH+svmjneifT7gDF4+YmPWHdn8HLv/rGIzo4RgQOnJQuR4dekQeDMxf5JCHWiHzFyqckRsznT/d4xcW0CMP6eIqZAFdgpsfAcSPyMgCegZsFtC3QMECut0BWUC3sGAB3fFOZgG9+h92FtBFh2EBvbjRn79SuicV/rz1n9v0SaF/RJJVIpe/55+vg4EDHcMLMb6gqzEbNkxWu6L2tk8fYNo0u9YCm7lCc4/7X2hQajHE/GmBPbRKTefP9PFLaIEQgiHTsTa9r4QQAtGa+Pbb/Pt5Zs4E9ttP6gfzlw/Lh4N64aDx72b+MLM98OfLWqJyuHwTVLQEZ9fG/OlEP3jdzF9wDHVaMJ0/3eMXFtB1RrePullAl4DFAnoKFN6BngkO3oHu46XizCoT+HgHegYh3oHuCBbZjnUW0KvveCygs4Be5KvZbzHdkwq//vrNb/qk0C8eScufy9/y5XVQIsawmxwH/7z+OkA70TnJEVguFnS2EofMbHAsDC5wnWhoUHL/Cw1KLYaYPy2wh1ap6fyZPn4JLRBCMGQ61qb3lRBCIFoTmzcDO+8M/PijXe811wDXXiv1o6byV92O8dntt0LnBfY98tceAowSJ+PT3efdO3TXstPcLYhqKn/Rdip1tTF/6rCNwrLp/Okev7CAHkUUh1AHC+gSEFlAT4HCAnomOFhAL/JlwwK6BRwf4e6IHz7CvcjOJCnGAjoL6OFFU7WWdE8qVDfT9Emhavx025fxd/DBwIcf2p7RHeh0FzonOQIvvAAcf7z9t3r1Urv2m7hd3REikNz/QgRTgynmTwPoIVZpOn+mj19CDIXApkzH2vS+EjgAdBj4xz+yB3d77gl88YXUk5rIX/qucxLEc49kv3X8Jfj7oLuzsDrobOCj1M1oVtJx17lbGNVE/nR0KVV1Mn+qkI3Grun86R6/sIAeTRwHroUFdAmELKCnQGEBPRMcLKAX+aphAd0CjgV0R/ywgF5kZ5IUYwGdBfTwoqlaS7onFaqbafqkUDV+uu3L+CsrA0aPtj2jTUqzZ+v2NL71n38+8OCDtn+Hih1IU6dG4y/3v2hwVlUL86cK2Wjsms6f6eOXaKLEWy2mY216X/HGcsxyTZ8OHCK2TTvTzz8DnTrlOVrT+KOd5z0f65nBwSmi3zTjJvwyZiTuf8WGqaIR8MDLo3H1u6OysJs+eHosdqLXNP5i1tMCu8P8BYZQqwHT+dM9fmEBXWt4e6+cBXQJViygp0BhAT0THCyge3+nZOVkAd2CgwV0R1SwgF5kZ5IUYwGdBfTwoqlaS7onFaqbafqkUDV+uu3L+PvkE6Br12zPvvsO2GUX3d7Gr346BXW77YDyctu3W24BaGNXFIn7XxQoq6uD+VOHbRSWTefP9PFLFDHitQ7TsTa9r3jlOVb5Nm4E2rUDKhx3wd1xB3DppXlu1kT+SCgfOXVkBgsS0SnRsxefAo79wYbpne6l+HDMxVn56a+y3es6YqAm8qcDZ1V1Mn+qkI3Grun86R6/sIAeTRwHrsUZKAPK/4XGpVtn2VyEtnl1LEQbab2yvBXLxIV6krRmQcv8p36EFdl9uWTR7c5c2fOVLvDJBHTZMyruuCuwKDL8CCBUgewoxQYuNbeQPJc9o2yy5z4EdJTYd+c4a23erlLqXKv6+c9LICe1lZAfc1MbLJTaLZHklZWnwm0lNtzytnLxbWtJwLnZaLFqWZ7PDfIfpfKIYzPz0ioXnmU23PK6xfFaiW3ZM7cg99MP3GJedje6W2zXlzjS2MU5t+fNJfllz0S2zZLnS1vKnauSdKYqZL9X0zXL8rqL7fJ3aaVkpUsYgr3MhuzOdmpL1cb8F8iSBXJ/UeFCqqz7u73n/dyX7ufdL/tN8PM7QWCoWoAlC2+3viTL69aX/Dx3yyv7XXI79lf23O13yUveyt+A81NnzZUL9ae0tNTtLcXPAyCge1IRwHVPRU2fFHoCIcGZZPzR/efbilfDvHl2w8aI74YjRiS4oYpc//ZboEuXbONff53/TFH14P6nCtlo7DJ/0eCsqhbT+TN9/KIqLoqxazrWpveVYjiPRZnBg4Fx42xX+vQB3norz7Wayl+uiE7A1BefbitvBho7PuHecfH+uLxkppTSOIjoNZW/WPSxEJxg/kIAUaMJ0/nTPX5hAV1jcPupmgV0CVosoKdAYQE9ExwsoBd4q7CAngGIBfQUFCygO/qMW//w029kXZAF9NQOdBbQ/Qz7isqre1JRlNM+Cpk+KfQBRSKzuvE3ZAhw//12k+he9PffT2QTlTpNd8M7d5vTOqS5c4FatZRWmzHO/S8anFXVwvypQjYau6bzZ/r4JZoo8VaL6Vib3le8sRzDXC+8ABx/vO1YHbErY/FiYOvsDQw1mb9cEf2IH4E3nrQhE2tO0WaYmFZv2Xji3KmezqVbRK/J/MWw1/l2ifnzDVmsCpjOn+7xCwvosQp3d2dYQJdgwwJ6ChQW0DPBwQJ6gReaHyGQd6BnwOQd6I644h3o/kcNLKCzgO4/aooqoXtSUZTTPgqZPin0AUUis7rxN3ky0K+f3SQShOfPFycQ5R+ulch2h+X04Ydn33d+7rnZ96GHVY+bHe5/qhFWa5/5U4uvauum82f6+EV1fPixbzrWpvcVP1zHKu8qcfRiifhwucbxEfdJoQ6femqWmzWZv9z70G9/DbjsIxueD8TCyW7npP6de1e68wh4nfeh12T+YtXfinSG+SsSuJgUM50/3eMXFtBjEuiF3GABXYIQC+gpUFhAzwQHC+gF3iQsoGcA4h3oKSh4B7qjz/AOdBsML8eyp3N7ycs70AsN80L5u+5JRSiNqMaI6ZNC1fjptu/G31pxFU3r1sCKFbaHDz0EnLPlI6Fuv+NQ/0pxTUkrcePKunW2N889l72ZS7Wf3P9UI6zWPvOnFl/V1k3nz/Txi+r48GPfdKxN7yt+uI5d3mOPBSZNst0aOBB4+uksN2s6f2XTyjD6ndEWJrPvAnZ2XBl5jTj1/vpe8vvO07vXR/UahbLeZdqor+n8aQM+pIqZv5CA1GTGdP50j19YQNcU2H6rZQFdghgL6ClQWEDPBAcL6AXeLCygZwBiAT0FBQvojj7DAroNhhdRPJ3bS14W0P0O+4rKr3tSUZTTPgqZPin0AUUis1bH34knAs88YzfrL38BXn45kc1U4jR9b6bvzulUV5xsUlkJNGumpDqpUe5/0WGtoibmTwWq0dk0nT/Txy/RRUrhmkzH2vS+UpjhGOd45JHs1ZFNxCSyQhxvV79+xumaxB/tOO/RoUceYfT8/dcfxvDzHs/6237nASeePgbdO3R3LSezF2VE1CT+osQ1qrqYv6iQVlOP6fzpHr+wgK4mbkO36gyUQeVlaFLaIquOhWiTV+ciyM8+rIDYwpCTFq2V5122ID8vKurJ27dA8lh23C9lq3KBSPZc7LqQJj8CuixvGGKi29G8DSQey55RNi/iQ9pcNu2pp7Jn9FwmrLuI7bVLxJFKktSqrfg6l5NKICe1FfLzugnaJZK8bbBI6oOsPlldVNitvhaSgJP5kIIzPwhbrFom9a2B7LFjlWhWIRnEcrPiaCuXmJfZEDu3pEkW3xtd8vp5LK6ryktu/UD2fMudTXk27HlT9p9k+Zu7OCzJu1nyCqPSK5rnv8eW1pF3Jj9ie6Xk/Ur1yWzI3sWUt1LSed3symxUIfsusTRaMhtuPlQtk2OxpkJiu8LlAlbZq8LPu98tr+w3wc/vBAHi5/dD1pf8/H649S9Z//Dzm0J2ZfllvymUV/Yb5JZX9twtr5ffpcXiDvTTt7WQKC8vRyld3sspdAR0TypCb1COQdMnharx022/Ov7+8x/gtNNsD+lbKn1TpW+rnIALLwTuu89GopfYgTRtWrTIcP+LFu+wa2P+wkY0Wnum82f6+CXaaKm+NtOxNr2vxCmWfPuycCHQvj2webNd9DVxTnnfvpl/1xT+0jvN3e4sf/ecI3DII1MyuPzeFNjryq0xrMcI0HHtuneau3FfU/jzHfsJKcD8JYQoFzdN50/3+IUF9IT0DxbQJUT5EUBYQE8ByAJ6JpBYQC/y5ccCugWcH5E6lT9fZWQB3RGDMrGcBXQbILcFWCygF/kiM7OY7kmFalRNnxSqxk+3/er4W7oUaCPWAm9wLE6aOBE44QTdXuuvn74zb789MGeO7cuYMcCIEdH6xv0vWrzDro35CxvRaO2Zzp/p45doo6X62kzH2vS+EqdYKsqXbt2ADz6wi15wQdYKwZrAX+5d5zIR/dtttsJu89dncLqrK3DpUdmI67zr3I37msBfUXGfkELMX0KIcnHTdP50j19YQE9I/2ABXUIUC+gpUHgHeiY4eAe6o5/wDnQLDN6BbscE70B39A8/vx+8Az0FHO9Aj/2IUfekQjVApk8KVeOn234h/g4/HJg61fbyjDOAx7NPr9TdBC31z54N7LJLdtWffy52Iu0VrTuF+IvWG67NLwLMn1/E4pXfdP5MH7/EKZpMx9r0vhKnWCrKl5tuAkaOtItusw0dTwbUrm09qyn8pe8sTwPhFNFvffx8/P3MB7PgPeRMYHpH+5HbzvWiOAmxUE3hL0TIYmWK+YsVHb6dMZ0/3eMXFtB9h6SeAiygS3D3I4DwDvQUgLwDPRNIvAO9yHcZ70C3gOMd6I744SPci+tMfIR7cbhxKVcEdE8qVFNj+qRQNX667Rfi7+67gUsusb1s2RKg0z7pvu+anO64A7j8chsB+tb8m7gVo5bL7SmqsCrEn6p62W44CDB/4eCoy4rp/Jk+ftEVN7J6Tcfa9L4Sp1gqypfvvwd23TW76McfAwccYD2rSfzJRHTrO1PZSNzoWFC6QCxi/9NQYFNqjYGVWEAvKvq4UAEEalL/MzEYTOdP9/iFBfSE9BoW0CVEsYCeAoV3oGeCg3egO/oJ70C3wOAd6HZM8A50R//w8/vBO9BTwPEO9NiPGHVPKlQDZPqkUDV+uu0X4u/XX4GOHbO9pHu+6b7vmpx69wbeecdG4KyzgEceiR6RQvxF7xHX6AcB5s8PWvHLazp/po9f4hRRpmNtel+JUywV7UvnzsAPP9jFr7oKuP566981jb9cEZ0wmPkAsN98G56x+wMXHZ2PdhxF9JrGX9F9IKYFmb+YEuPRLdP50z1+YQHdYyDqzsYCuoQBPwII70BPAcg70DOBxDvQi3yr8Q50Czjege6IH96BXlxn4h3oxeHGpVwR0D2pUE2N6ZNC1fjptu+Fv332Aeh48nSinde33abbc3310w789u3FYkBxD3o6Pf888Ne/Ru+TF/6i94pr9IoA8+cVqXjmM50/08cvcYoq07E2va/EKZaK9mX4cOCWW+ziu+8OfPWV9e+ayJ9TRO+4FPjlzmxkDxVXGr29fWrXOaWRU+0j8OMmotdE/oruBzEsyPzFkBQfLpnOn+7xCwvoPoJRZ1ZnoJxZfgWalGZvO16EtnnuLZQ8o0x+diFWVuYrrusXNJNDUSF5LHtG2dyeV0lsrHRBXvZcJpRT8aACuhv5bsdKyp43cDEi29XnttNP9jyEHegocXyZc7jZoESM4HJSSfNKaUNaicjKTW47wmXitaw82ZPZcBO/3Wy0gKQdEn+pvhZCGs1NsmdW3lXL8vI2yH+UyrNcAptb3lU+Yn6tS17Zc9lOWiruZ7e6TED30z/qu2R26x+y/I1dbDSXPPeRd3mrelLDK+o0zXte5XL0w1KX55WS1StuNmTvaFV2K0QPkyW3BQJVG/NfOFUV8pfQpgoJ+LJ3PDkge+4nr9vvhNtvgiy/W/9Q9fshA97PbwqVl/Ubt77kJ6+f3yUZ/bnlF4nzhk/c1mpxubjnrrS01O2twc8DIKB7UhHAdU9FTZ8UegIhwZm88FdWBowebTdye/HB8Mcfoz+uPC4w338/MGSI7U0T8W5dtAho2DB6D73wF71XXKNXBJg/r0jFM5/p/Jk+folTVJmOtel9JU6xVLQv770H9OiRXZwGezvsUOMF9L8LaP79pg3N4kZiIeXfgX8dOQYjeoyw/lDd/elFcxJSQe5/IQGpyQzzpwn4kKo1nT/d4xcW0EMKVNVmWECXIMwCegoUFtAzwcECuqOfsICeAoMF9ExQ+Fk8xQK6oy+xgJ4Cw88R7iygqx4WSu3rnlSobrTpk0LV+Om274W/zz4D9t0329MvvwT22EO393rqP+IIYMoUu+6TTgImTNDjixf+9HjGtXpBgPnzglJ885jOn+njlzhFlulYm95X4hRLRfuycSOwzTapFYHpREe4i6Pcaxp/M+bOQM/HemZg+OAh4KDfbVgeEmPiJXfa4nn6L7ki+vTB09GjQ86ihKIJKr5gTeOveKTiWZL5iycvXr0ynT/d4xcW0L1GouZ8LKBLCGABPQUKC+iZ4GAB3dFPWEBPgcECeiYoWEB39A/egZ4CI4yTUXgHuuYRol297kmFaiBMnxSqxk+3fS/80VHldA/63Lm2t9ddB1x9tW7vo6+/QpzW1a4dHWdq1/3MM8CAAdH7QjV64U+PZ1yrFwSYPy8oxTeP6fyZPn6JU2SZjrXpfSVOsRTIlwsvBO67zzax667AN99g46ZNWLx4sfW8devWqFPHz/GHgTyKpDAJ5rlCd9m0Mox+ZzRu2/UyXH7SHVl+HHdmfbz42BrIyqVF9FG9RqGsd1kk/heqhPtfIYTi/XfmL978FPLOdP50j19YQC8UgTH5OwvoEiJYQE+BwgJ6JjhYQHf0ExbQU2CwgJ4JChbQHf2DBfQUGCygx2SUF44buicV4bTC3Yrpk0LV+Om275W/Sy4B7r7b9nb//YFPPtHtffT1P/IIcM45tJ0VzQAAIABJREFUdr10bDt9U27sNq5R7KJX/hS7weaLRID5KxK4mBQznT/Txy8xCSPLDdOxNr2vxCmWAvkyYwbQ0955bdn6/HNsFPehmyqgp4Vy2b3lJJD/NOp/8Ldxn2dgXSLm6W2HAYfv3BeTf5oMmVAuE9YD8RKwMPe/gABqLs78aSYgYPWm86d7/MICesAAjao4C+gSpFlAT4HCAnomOFhAd/QTFtBTYLCAngkKFtAd/YMF9BQYLKBHNYyLpB7dkwrVjTR9UqgaP932vfI3dar4WHh4trfl5UBpqe4WRFv/UUcBr71m13nCCcDEidH64KzNK3/6POSaq0OA+Ut2fJjOn+njlzhFn+lYm95X4hRLgXwRO83RqVP2kUPDhmHjjTcaKaDnHtWeK6LTbvJup45ET8cJTI/tDZz112yU43JUuxv33P8C9QrthZk/7RQEcsB0/nSPX1hADxSe0RV2BsrZ5SPQtLR5VuUVKMlzZhHaSB2sQKu855WS8pSpclV+3pUL8uuyDFbUyq9PHD/o4oT8eZXksUzooGyy5255N0jsyu61daNUVp7y1nUpIHvuJlTInrvl9XJUbtolWV4X6lzoB0ryQWpeIiNJ6Pj185+3gjwASlCZB5yb+C2zIStPBltA7pvMdomLbzIbbnaleVctkwZFA9nj5S7x4xbHqyT5Zc8om0xAd4t5x/GgmRrcYt6tj3h97tZn6rsYkD136x8ysdyHgO4mti9vVS/PuRV1mkodrnJZ0bJU8twtr+z+cbe8MlHcLa/sd8LdB/nKHFl+Vxur8m2srJLjhgoJqfLu7O/d7+f3w61/qPr9kEWQn98Ut9+gMH5rZPedu92B7iXvwt+Av2xrtbhcKGGlNU0J8/p+DJhP96QioPsFi5s+KSwIQMIzeOVv/XqgjZjCVDl+A267Dbj88oQD4MP9pUvFrqO2AGGRTk89BZxyig8jIWf1yl/I1bK5kBBg/kICUpMZ0/kzffyiKWyk1ZqOtel9JU6xFNiXK64AxoyxzYj54caff8biytS3QtOOcM+9tzwtotPzO58fid/EWLe2A9SLhmyHsW1/zTzpu0NfvHaaY2VlYALCN8D9L3xMo7TI/EWJdvh1mc6f7vELC+jhx6wSiyygS2BlAT0FipuowQJ6JmhYQN8CBQvo9oskew1S6rmL2M4Cug0bC+gF+pJsBOBnMQoL6ErGUDXFqO5JhWqcTZ8UqsZPt30//P3tb8ATT9ge77cfMHOm7hZEVz+1nTBIp/piMeGiRUCzZtH5kFuTH/70eck1uyHA/CU7Nkznz/TxS5yiz3SsTe8rcYqlwL589RWw555ZZja+9RYW033oIpkmoFObckV0EsXpePYLPwbufdWGYpkY97URx7evy/k2IDv+PTAPIRrg/hcimBpMMX8aQA+xStP50z1+YQE9xGBVaYoFdAm6LKCnQGEBPRMcvAPd0U94B3oKDN6BngkK3oHu6B9+rgDhHejV/9bwDnSVwz9ftnVPKnw5W0Rm0yeFRUCSqCJ++HvzTeDII7Ob9913wC67JKrJRTt73HHASy/ZxY85JvvfRRsOUNAPfwGq4aKKEGD+FAEbkVnT+TN9/BJRmHiqxnSsTe8rnkhOUqY99gC+/jrj8abzzsOi0aOtf5sooFO7ckV0evbWOKDPHJu4/xXrCs4QV/dQSovs6b/GWUTn/pekzpfvK/PH/MUZAd3jFxbQ4xwdDt9YQJcQxQJ6ChQW0DPBwQK6o5+wgJ4CgwX0TFCwgO7oHyygp8AI4w50FtBjM5LUPalQDQRP6lUjrNa+H/42iqtl6KaHBQtsn66+GrjuOrU+xsH6ihX00VjcxOMYxz3+uPiQeoZe7/zwp9dTrl2GAPOX7LgwnT/Txy9xij7TsTa9r8QplkLxRdx5jiuvzJja3LIlFn72GbDVVsYK6NTYfk/2s3aeU2ojvkvMuxWos9lG9LiTxcJJsWjUecz7yKkjMxniKqJz/wulV2gzwvxpgz6Uik3nT/f4hQX0UMJUvREW0CUYs4CeAoUF9ExwsIDu6CcsoKfAYAE9ExQsoDv6BwvoKTBYQFc/gIuwBt2TCtVNNX1SqBo/3fb98kd3nt9xh+11p07ATz8BtWrpbona+idMyL7rvF49YOFCYOut1dZbyLpf/grZ479HiwDzFy3eYddmOn+mj1/Cjocg9kzH2vS+EoT7WJadMwegAZ4jLRWrBteKY4hM2oE+Y+4M9OjQw2ol/X/Px3pmWnyeuKLogZdtAFaKcV/r4UBZ3zHo3qF7plzuzvXpg6dn/hYXbrn/xYWJ4vxg/orDLS6lTOdP9/iFBfS4RHoBP1hAlwDEAnoKFBbQM8HBArqjn7CAngKDBfRMULCA7ugfLKCnwGABPSGjQG9u6p5UePOy+FymTwqLRyYZJf3y9+mnwP77Z7ftvfeAbt2S0d5ivRwwAJg40S7dty/w2mvFWguvnF/+wquZLYWBAPMXBor6bJjOn+njF32Rk1+z6Vib3lfiFEuh+dJDCMs0wNuSVv/1r1h2333GCOhl08ow+p3Rmd3k1Mz0Mzqe/YqrJuOQuTaaE7oAv94/xnpAu85H9RqFst5l1r/TIrrzWWg8hGCI+18IIGo0wfxpBD+Eqk3nT/f4hQX0EII0ChPOQDmv/B9oWto8q9oKtMpzoxIlUtcWoU3e86VoIc1buTHfxpIF+XVZhSskX+IrXNBxe14lyS8TOiibHwF9jcSu7Bllk91365fkupICsmeUTSZghCFqyCiV0wwX+iELodolq6RotCjJJ69VHTnRW0OSF5VSu60kz0sgt+tHQG/lYkPmm5td2XO3vE3XijM5c1LjZZvkkbXMJeBk0MvpAGTP3WJeJra79QNxrKqSVMfFqqwv1PeR101Alz13ybs5+3VrVb6iuVgaLEkr6jSVP0f+8yqXjid77vaOluWtgnybWqXkd8KPD9QwmR9uNlZI2yz3bcWy/JVAa6rkWKJKgr2f3wm33w+3/iF77tY/ZM9V/aZQO+LwWyProy0cZ9CRn/N/A3p2sPpGeXm5OJpZnM3MKXQEdE8qQm9QjkHTJ4Wq8dNt3y9/m8VrZNddgdmzbc8vvBC4917dLVFX/yoxdqPj21evtut4+GHg7LPV1enVsl/+vNrlfNEgwPxFg7OqWkznz/Txi6q4KMau6Vib3leK4Tz2ZcaOBS66KOPm5gYNsEjci17SsSPq1HH7SBT7VlkO5u42dx69Tn/ruGgdSg84LKsxg05tgL0uKLPE83Ry7jZ37maPGwrc/+LGiD9/mD9/eMUtt+n86R6/sIAet4h38YcFdAkwLKCnQPGzA50F9EwgsYDu6FMsoKfAYAE9ExRuojgL6FsgYgHdfoGwgB6bkaTuSYVqIEyfFKrGT7f9Yvi7/nrgmmtsz1uJNbzz5wN0rLmJiXae0w70dKLvxnQPfIl8TXSkEBTDX6QOcmXVIsD8JTtATOfP9PFLnKLPdKxN7ytxiqXQfFm8GGjfHtho79SouvtuNB0yJPECOmGUe/S6U0Qff2wnnDJpTgbKRY2A0qHAesci+bjedy7jn/tfaL1CiyHmTwvsoVVqOn+6xy8soIcWqmoNsYAuwZcF9BQoLKBngoN3oDv6Ce9AT4HBO9AzQcE70B39w88R7rwDvfrfGhbQ1Q4AfVjXPanw4WpRWU2fFBYFSoIKFcPfzz8DO+yQ3chJk4Cjj05Qw324esopAN2Bnk6HiU1JU6b4MKAwazH8KXSHTftEgPnzCVjMspvOn+njlziFk+lYm95X4hRLofryl78Ar76aMbn20ENR9403jBDQqVEyER0bNuC0Y6/GnxwHVd56MPCPP9vIJkk8J6+5/4XaKyI3xvxFDnmoFZrOn+7xCwvooYarOmMsoEuwZQE9BQoL6JngYAHd0U9YQE+BwQJ6JihYQHf0DxbQU2CEcV0IC+gFB3+viQuMjzrqqEy+UaPEXXZlZQXL+c2ge1Lh11+/+U2fFPrFI2n5i+Wve3fg/fft1p58MjB+fNJaX9jfNWKxFh3fvtLx+ySuAMUFFxQuG0WOYvmLwjeuozACzF9hjOKcw3T+TB+/xCm2TMfa9L4Sp1gK1Zf//Ac47bSMyc3iCJ5Nv/2GOu3ahVqNTmO5Inq/H8SagaeyPdp9CPBNW/sZC+g6Gat5dfP7M9mcm86f7vELC+gJ6R8soEuIYgE9BQoL6JngYAHd0U9YQE+BwQJ6JihYQHf0DxbQU2CwgK58FLhKXGrcpUsX/Prrr5m6WEAvDnbTJ4XFoZKcUsXyl3M1Jho2BBYuBJo2TU7bvXhKiwIGDbJz1qqVOq6+reNDqhc7qvIUy58qf9iuPwSYP394xS236fzp/igaN75V+mM61qb3FZWxodU2rR5s0wZYvTrjxiZxjHvtiy/W6lbYlTtF9Gf+K67t+c6u4aM/AQedm19jkkR07n9hR0y09pi/aPEOuzbT+dM9fmEBPeyIVWTPGShDyi9H09LmWTXJhJEKiIsCJakS+RfpycpT0QpJ3qpK+UXa6yua5ddW4QKI2/MqSX7ZM8oWBwHd7R5cx501mRbJntEfZc/DEDVkwrrfO9Bl+Us2S0ltULI073mL5nLytkb+81aolNqVieJ+7i8nozLb7mJ7fnDK/CW7MhtudpvCcTbTlpY23Zj/jP7UdNl6KRa1lkkey4RyyuZHQJfldYtt+2oq2xk/90G7vSP99A9xJ6g8CCVP67vklQnrbotRJHk3uwjzK5rLL2ZdUSf/S/8KyL/+y+4fd7uTXGbD3/3lW0sBcrOhyjdZO1ZslOOzoir/+fqVQlGRpZUuF+UG/f3wE/Nued36gp/nfn5rZL8rbr81fvI2yf9NqN3kj6xWbJ73Ozbv29l6Vl5ejtLSUj+tTHTeoUOH4vbbbxffhNpg0aJFVltYQC+OUtMnhcWhkpxSxfJXIYZldDWmOOkykx5/HDjjjOS03YundFz7W2/ZOeN0fDt5VSx/XtrOedQjwPypx1hlDabzp/ujqEru4mbbdKxN7ytxi6dQ/cm5x2Zz166o9dFHoVYRpbEZc2egR4ceWVWmBfQS8f3t91uBrTbZfz5fXE/04P7i5KH9LkDHFh0xcurIzB+TIqJz/4sywsKvi/kLH9MoLZrOn+7xCwvoUUZzgLpYQJeAF1QAkd1rS9X4ETtYQM8QwwJ6CgoW0B191U9fYgE9A5wqkXqpiM7cVAUW0DOYyH5T6I9xuAPdbfzAAnqAkZX6orNmzUJX8fGnbt26uFvsojjvvPOsSllALw570yeFxaGSnFJB+DvmGODll+22HnEEIK7GNCb99BOw447ZzXlKHOtJ35LjkoLwF5c21GQ/mL9ks286f7o/iiY7Ovx5bzrWpvcVf2wnLPekScCxx2Y7/emnwL77JqwhQNm0Mox+ZzScwrdz9/mlHwB3vG43a7WY07f7B9CtS19M/mkyRvUahYZ1GyZOROf+l7hQzXKY+WP+4oyA7vELC+hxjg6HbyygS4hiAT0FituuWd6Bngka3oG+BQq3RSO8A736vsQ70DN9SZW4zzvQixyMsIBeJHDqi9EElMRzEtFHjx6NQw45BH369LEqZgG9OPx5Ul8cbnEpFYS/CROyxeTatQFxNaa1M92EdNVVwA032C3ZWqxtmzdP3LLhdkqIhkYH4U+Du1xlDgLMX7JDwnT+dH8UTXZ0+PPedKxN7yv+2E5YbnHU0ObttkMtGgCl09lnAw8/nKiG0M7zno/1zPhMInr3Dt3tZ+Lwtu8e2gq7zFuXyfO/e4qd5yc2wh8b7FPcpg+ejvfmvpclotOz3F3tcQKH+1+c2PDvC/PnH7M4lTCdP93jFxbQ4xTt1fjCAroEHBbQU6CwgJ4JDrej1llA3wIRC+j2i4SPcLew4B3ojt8W3oFug8FHuAceHf773//GsGHDsPPOO+PLL7/EBx98wAJ6QFRNnxQGhCf2xYPw94f4nkh3gdMVmel0223A5ZfHvtkFHaSj6cX3YkswT6dLLgHuvLNg0UgzBOEvUke5MikCzF+yA8N0/nR/FE12dPjz3nSsTe8r/thOXu5NZWWoLRYeZ1JDcU3b778DtLIwQcm525zcJhF99YbV1q70O0tOxyUX/29Wa/r8DZjWyX4k27lOu9LLepfFGgXuf7Gmp6BzzF9BiGKdwXT+dI9fWECPdfjbzs2ZMwedOqV+UU//+Bw0aZ99B+xSyTG8S1yO5l2KlnmtlpWnTEskeZcvldx1LvJuWCK5r3aJC8Buz5dL8sueUTbZrlm3+6DXSuzKnlE22R3PbnHi5wh3t3ubZTsI3e5tbiRxxOUuZsiey6kD3J43l9S3tfwO9Pot8+81b9ZMTl5z5D/fGvl3qFPtzaR55QEks0s2ZLZldlN582272W2O/EvJ3ew2lgRsk41yxa7Jcnlg1ZJdmZ591bBN2GoJd24CuiyvnzvQ3fpMGEe4y/qNW1+S9ZutXDqvn74kybvZ7crtZvKz6FfWyV/pskraSSEiPr9DLoOsM9JrML+jy8oTClUSG8td7LrZUOXbSslKoFUb5S+3lcvzsdywymWb3iqXO9Bl/cbP74ef/uGnH/gdk8jCzU//cPutkcHp+ruU/5tQq3H2S2XzwgVAv15W63755Rd07NjRb0sTlZ/GbF26dMEfQvWbMmUKDhOXGU+bNo0F9IAsmj4pDAhP7IsH5e9v4uPiE0/Yzdx7b4gTHoBatWLf9GodpKPp6Yh6Z/riC2BPsRspTikof3FqS030hflLNuum86f7o2iyo8Of96ZjbXpf8cd28nJvFMcL1RbfvWvR6sJ0ulVcFj50aOIaIxPRaSd65eCTcNxb9qrJn8UtezuKhZObxelKlPru0BevnfZaVntl96nHERDuf3FkxbtPzJ93rOKY03T+dI9fWECPY9RLfPrkk0+so0A5MQKMACPACDACjAAjkFQEPv74YxxwwAFJdd+T3/369cPkyZNx6qmn4sknn7TKsIDuCbpqM5k+KQyOULwtBOXvzTeBI4/MbuN774n7IrvFu92FvPvrX4EXX7Rz0XTvo48KlYr+70H5i95jrtGJAPOX7HgwnT/dH0WTHR3+vDcda9P7ij+2k5eb+FvXvz8aOgdGO+4IzJ4N0P09CUu5Ivox2x6OJy6cghaOzVzXiBu+rk+tM88k5w70JDWZ+1+S2Mr3lflj/uKMgO7xCwvocY4Oh28soCeEKHaTEWAEGAFGgBFgBFwRMF1Af+qppyzhvEWLFvj+++/FsdPi3GmRwhDQadJQXZo/f35msSXtgi8tLTUqEmlSX1FRYbWppKQEdeq4HbdgVLONaUxQ/gT92GWX2uIUC3vL+YknbsJTT8lPRkoCcKLLihM5amPjRrtN99+/CeecE782BeUvCXyY7CPzl2x2TeePxjfp04nKy8uNG7/EKfp0f4BWjQULQKoRVmuf+KuaNAmtjj8+uyKxMBl//rPayhVZd4rop3wJPPWcXdEm8b8dLwPKxS502nk++SfRzi0piSI69z9FQRSRWeYvIqAVVWM6f7rHLyygKwrcsM2uWbMGX331lWW2devWqFtXfkxw2PVGZc/50Zc+rrdv3z6qqrmeEBBg/kIAUaMJ5k8j+CFUzfyFAKJGEzWBvw3iGL7FixdbKO+xxx5o0MDlyH2NPIRR9ZIlS7Drrrti0aJFuO+++3DBBRdkzIYhoNfycVb1p59+im222SaMZsXGxqZNm7BsWerqlObNm4uNKMnbiRIbMDU4EgZ/99/fCKNH29ec1KmzGR9/vFjEOn2CTF66++7GuOEG+wqsRo024YsvFqNJk/gJ6GHwlzyGzPGY+Us2l6bzN2/ePOy3334WSSygq41V3R+g1bZO3MYoBNj0nIO+m/JiS9WIh2vf4k/Mo1odeijqiYXImUR33bz0UriVRWit35PidDIhjr/5OHD4L3bFr+8ghPPTU3ekj+gxArJj3+l5UhL3v6QwJfeT+WP+4oyA7vELC+hxjo4a5JvujlCDoFbSVOZPCayRGWX+IoNaSUXMnxJYIzPK/EUGtfKKzjrrLDz22GM48MAD8f7772cJvCygB4ffdAEhOELxthAGf8uW1cI++7TG6tX24olLL12JkSNXxrvxEu82C428W7cSzJljL4o++eQ/cPvty2PZljD4i2XDaohTzF+yiTadPxbQo4tP0+cdLABFF0sqakrz1/Dxx9F85Ei7ClpE/PPPdGyPimqV2kyL4jtUAj/enV3VSQOAfS9NiefplGQRnfuf0lBSbpz5Uw6x0gpM50/3+IUFdKXhy8a9IqC7I3j1k/PJEWD+kh0ZzB/zl2wEku09979o+aPd8PXq1QtcKQnlZ555ZsZOWiCnnS4zZ87E3nvvnVVHGAI6H+HOR7gHDlyNBsI6gviii2rhgQdsAb2kZLMQoTeJky00Nq6IqqdNE7uQDs++huDddzfG9k73sPgrAiouEgICzF8IIGo0YTp/fIR7dMFl+rzDdAEhukjRU1Oav1qrVqHNvvui1nLHokIS1G+8UY9jRdY6Y+4M9Hysp1V67MvAkJm2oSVi3Lr71Vtj3lVL8qzniujTB09Hjw49ivQiumLc/6LDWkVNzJ8KVKOzaTp/uscvLKBHF8tcUzUI6O4ITE4wBJi/YPjpLs386WYgWP3MXzD8dJdm/qJlQIWAvnbtWuy555744YcfcPnll+O2227La1QYAnohpEyPJdMnhYX4Tfrfw+Lv22+BLl2y0RDrWcSClmQhdNppwH/+Y/ssbn/AN98APm5qiLTBYfEXqdNcWQYB5i/ZwWA6f6aPX+IUfaZjbXpfiVMsqfDFyV+bf/0Lte+5x66mpITueEDSVkyWTSvDfa+Mxtw7aqH+BvuKnlu6AcOPtI9vz8UzLaKP6jUKZb3LVMAduk3uf6FDGqlB5i9SuEOvzHT+dI9fWEAPPWTZYDEI6O4IxfjMZWwEmL9kRwPzx/wlG4Fke8/9L3r+vnfeqVdk9e3bt7fu4aY0fvx4DBo0CHXr1rXuPm/SpEme1W+F6nfddddZz/v3748BA8SZfSLRce+dOnUq0ovsYqbHkumTwlCCIMZGwuTviCOAKVPsxu6zD/Dpp/EVn3NpWboU4t52YM0a+y+33goMHRpfAsPkL76tNNcz5i/Z3JrOn+njlzhFn+lYm95X4hRLKnzJ4q+yEnV23z27mieeAE4Xl4YnLE0+cV/0feazjNdrxQFEnS4F5jdLPUrfgZ7bLNrBnoSd52m/uf8lLDBz3GX+mL84I6B7/MICepyjowb5prsj1CColTSV+VMCa2RGmb/IoFZSEfOnBNbIjDJ/kUGtrKJx48Zh8ODBRdnPPQq+KCNbCpkeSzypDxId+suGyd+kScCxx2a3afp0oEf8T7e0nL73XuDii23/6VaJ338HWrfWz5ObB2HyF99WmusZ85dsbk3nz/TxS5yiz3SsTe8rcYolFb7k8Xek2KL91lt2VWLhMT78UEXVymze/vpoDD6uDC3WOqo4+2zcdOZOGDnVvufdTURX5pgCw9z/FIAaoUnmL0KwFVRlOn+6xy8soCsIWjbpHwHdHcG/x1zCiQDzl+x4YP6Yv2QjkGzvuf8lmz/yngX0aDg0fVIYDYr6agmTv40bgZ13Bn7+2W7PwIHA00/ra5/Xmsl3OoJ+9uxk+R4mf16x4nzhIcD8hYelDkum88dj4eiiynSsTe8r0UWKnpry+HvxRTq6K9uZTz4B9t9fj4M+a6Vj2CuuHYlb3nQUpLt6vvsO6NwZuXedJ11E5/7nM0Bilp35ixkhPt0xnT/d4xcW0H0GJGdXg4DujqCmVTXHKvOXbK6ZP+Yv2Qgk23vuf8nmz6v3fAe6V6Tc85k+KQyOULwthM3f7bdnH3leRxyH+csvwLbbxhuHCROAU07J9vH11wHaZBXnFDZ/cW6rib4xf8lm1XT+eCwcXXyajrXpfSW6SNFTUx5/m8Wd4XTV1W+/2Q4dcwzw0kt6HPRRK4nj/3x9JH65Q1zbs9JR8IQTgIkTMw9MEtG5//kIkBhmZf5iSIoPl0znT/f4hQV0H8HIWdUhoLsjqGtZzbDM/CWbZ+aP+Us2Asn2nvtfsvnz6j0L6F6Rcs9n+qQwOELxthA2f1VVQGkpsGqV3e4rrgBuuCG+OGzaBOy5J/DNN7aPe+8NzJoV//vbw+YvviyZ6Rnzl2xeTeePx8LRxafpWJveV6KLFD01SfkbMwagAZ4zffABcNBBepz0UGtaFD/7U+Bhce1QVvroI6Br16xHpojo3P88BEeMszB/MSbHg2um86d7/MICuocg5CyMACPACDACjAAjwAgwAoxAsQiwgF4scnY50yeFwRGKtwUV/F10ETB2rN3uVq2A8nKgYcN4YkEbjgYMyPaNntFmpLgnFfzFvc0m+cf8JZtN0/nT/VE02dHhz3vTsTa9r/hjO3m5pfytWAFsvz1QUWE36PDDgTed56LHp60z5s5Az8d6orZYNPndPeLKoSUO3/r0yb7T3fGnXBF9+uDp6NGhR3wa5sET7n8eQIpxFuYvxuR4cM10/nSPX1hA9xCEnIURYAQYAUaAEWAEGAFGgBEoFgEW0ItFzi5n+qQwOELxtqCCP7pCcrfdsttNgvqQIfHDgk4h3Wcf4IsvbN923z3179q14+dvrkcq+It/q83xkPlLNpem86f7o2iyo8Of96ZjbXpf8cd28nK78nfbbcDf/57doLffBnr3jmUjy6aV4av7RmPi0znuTZ4M/PnPrj6nRfRRvUahrHdZLNtWnVPc/xJHWZbDzB/zF2cEdI9fWECPc3Swb4wAI8AIMAKMACPACDACiUeABfTgFPKkPjiGOi2o4o++Q77xht2ydu2A//s/oEkTna3Nr5uu6zzuuOzndB/6SSfFy083b1Txl4zWJ99L5i/ZHJrOn+6PosmODn/em4616X3FH9vJy+3K3+rVwI47AvPm2Y3q3h2YPj2ed+CIVZMCBifYAAAgAElEQVQr9t4NTb/83vbX4509tIM9aTvP043k/pe8Puf0mPlj/uKMgO7xCwvocY4O9o0RYAQYAUaAEWAEGAFGgBHwgIDuSYUHFwNl4Ul9IPi0F1bF31tvAYcdlt280aOBf/5Te5MzDtDuc7rucuZM26dddgG+/hqoUyc+flbniSr+ktH65HvJ/CWbQ9P5M338EqfoMx1r0/tKnGJJhS/V8nfffcCFF2ZX++qrQL9+KlwJZlM2OB0/Hjj55GB2Y16a+1/MCSrgHvPH/MUZAd3jFxbQ4xwd7BsjwAgwAowAI8AIMAKMACPgAQHdkwoPLgbKwpP6QPBpL6ySv6OOAl57zW5i48bATz8Bbdtqb7blAPlGPjrT//4vcNpp8fDPixcq+fNSP+cJhgDzFww/3aVN58/08Yvu+HHWbzrWpveVOMWSCl+q5W/dOqBzZ2DOHLvqffdNrU6sVUuFO8XZpFWTvXqldsenE93hPns2ULducTYTUor7X0KIcnGT+WP+4oyA7vELC+hxjg72jRFgBBgBRoARYAQYAUaAEfCAgO5JhQcXA2XhSX0g+LQXVsnfV18Be+0F0DfLdKJ70Ok+dN2JfOrWDfjwQ9sTOoWU7m9P0ndUlfzp5qgm1M/8JZtl0/kzffwSp+gzHWvT+0qcYkmFLwX5GzcOGDw4u+qJE4ETTlDhTnE2n3wSOP307LI0IKWBqeGpIH+Gtz/pzWP+ks2g6fzpHr+wgJ7s/sHeMwKMACPACDACjAAjwAgwAtA9qVBNgemTQtX46bavmr+zzgIee8xuJR2N/s03qc1KOtOUKcARR2R7QH6eeaZOr/zXrZo//x5xCT8IMH9+0IpfXtP5M338EqeIMh1r0/tKnGJJhS8F+duwAdh999Ru7nTq0gX44ot43ImzbFlq4Llwoe3fdtulVk02bKgCsljZLMhfrLxlZ3IRYP6SHROm86d7/MICerL7B3vPCDACjAAjwAgwAowAI8AIsIDOMRBrBFRP6n/7DdhpJ2DNGhuGv/4VeP55vbDQKZ7vvmv70LEj8MMPQL16ev3yW7tq/vz6w/n9IcD8+cMrbrlN50/3R9G48a3SH9OxNr2vqIyNONj2xN9//5t/lzjt+j71VP1NuPRS4K67sv148UXg2GP1+xaBB574i8APrqI4BJi/4nCLSynT+dM9fmEBPS6Rzn4wAowAI8AIMAKMACPACDACRSKge1JRpNuei5k+KfQMREIzRsHflVcCN96YDRBdQdmjhx7QXn0V+Mtfsut+8EHg3HP1+BOk1ij4C+Ifl60eAeYv2RFiOn+mj1/iFH2mY216X4lTLKnwxRN/mzYB++wDfPml7QKtTqT7fJo0UeGWN5uffw7stx9A/qXT0UcDkyZ5K29ALk/8GdBOU5vA/CWbWdP50z1+YQE92f2DvWcEGAFGgBFgBBgBRoARYAR4BzrHQKwRiGJSTydn7rADUFlpQ3HQQcD77wO1akULT1VV6pTR33+36912W+DHH4GttorWlzBqi4K/MPxkG3IEmL9kR4bp/On+KJrs6PDnvelYm95X/LGdvNye+XvpJeC447IbeN55wAMP6Gk0iea0WvODD+z6GzRI3SW0/fZ6fNJQq2f+NPjGVRZGgPkrjFGcc5jOn+7xCwvocY5+9o0RYAQYAUaAEWAEGAFGgBHwgIDuSYUHFwNlMX1SGAicBBSOij86OZNO0HSmZ58F+vePFqTBg4Fx47LrfOQRgO5qT2KKir8kYpMEn5m/JLDk7qPp/Jk+folT9JmOtel9JU6xpMIXz/xt3gzQHTl0zJAzvfxy/tE/KhzNtfnoo8DZZ2c/HT0a+Oc/o6g9NnV45i82HrMjTgSYv2THg+n86R6/sICe7P5htPevvfYajjrqqEwbR40ahbKysoJt/kas8rv77rsxZcoUsevjd3GKTxPsuuuu4kqcU8WY5mzUrVu3oA3O4B2BuXPn4pVXXsG0adPwuTi2iF5q9OIuKSkRJxjth5NPPhkDBw70jDvz5x37MHISf3eJr83EIf1//fr1seOOO+LEE0/EhRdeiEaNGoVRDdvwgcCsWbMwefJkMR+cjq+//hqLFi0Sd6XWwzbbbINu3bpZ77GePXt6tki2HhRnxn788cdYvHgxWrduja5du+I8sUq7b9++nu1wxmAIDB8+HLfcckvGyNtvv43evXtXa5S5C4Z5TSute1KhGm/TJ4Wq8dNtPyr+1q0DdtsN+Oknu8WdOkGMUYFmzaJBQQypQKd2OtMRRwCvvx79TviwWhwVf2H5y3ayEWD+kh0RpvNn+vglTtFnOtam95U4xZIKX3zxRwO9vfYCVq2yXWnbNnWUu/jeEVlasgTo3BmoqLCrpOOQxHcc0C70GpR88VeDcElKU5m/pDAl99N0/nSPX1hAT3b/MNb7VWIQ1KVLF/z666+ZNnoR0B8RWzsuuugirF27VorNQeIcx5fFqsRWrVoZi12UDfunWFF5/fXXYzOtAK0m7b///pg4cSI6dOhQbT7mL0r2YInmtLBkGZ15KkmdxUTgVXGB5/Y16NipaBnIr62XWEn97rvvFnTj9NNPx8MPPyyOgXU/B5b65QUXXGCJ526JRPT7779fHG0b8dm2BVtoVoYvvvgC9B7csGFDpmHVCejMnVn8R9Ua3ZMK1e00fVKoGj/d9qPk75lnIBYCZreYdqDTc9U/d0uXpo5unzfPrr9p09R31ALDYN0UVVt/lPzFGoiEOsf8JZS4LW6bzp/p45c4RZ/pWJveV+IUSyp88c3fQw9B7ArIduWEEwA6ekj1gC9d65AhEB9Usn0Qm8HETgUVEMXapm/+Yt2amucc85dszk3nT/f4hQX0ZPcPY70fOnQobr/9drRp08bafUmpkID+utjWQTvWN4n7Z9qKlYdXXXUVDjzwQCwRKwIfEgOr5557zrJzyCGHgISL2rVrG4tfVA0755xzQKJ348aNcfzxx+Owww7DTjvtJBZaNsB3331n7Wz+5JNPLHfoOe2spRMBZIn5i4q1VD0k6NFu5j/++MPi5IorrkCfPn2wevVqTJgwweozlHbZZReLQzfeovXa/Npo9/9PYjU17TankxtopzktPKHB0AfiTq1bb73VOlmD0imnnIKnnnrKFRR6B95www3W3/fZZx/QDugdxGposn/zzTfjs88+s/5G+WghDCc1CNBvEi3eon7k/E2rTkBn7tRwYbpV3ZMK1fiaPilUjZ9u+1HyR+s66aCW997LbvVttwGXX64WiTPPBB5/PLsOWsd27rlq61VtPUr+VLelJtpn/pLNuun8mT5+iVP0mY616X0lTrGkwhff/NGA79hjIXZJZbtDA7EzzlDhYrbNN98E/vxniB1F9nMS8MXmoZqYfPNXE0GKcZuZvxiT48E10/nTPX5hAd1DEHKWaBEgkZWOF6aj1ukodtohSak6AZ129dEx7T/++KM4nrGZJdSSUORMtDN97Nix1qPHxYDqjCgGVNFCF3ltI0aMsHbzDxGrLpvS9pqcRC/wQYMG4emnn7b+cu211+Kaa67Jy8f8RU6dJZbTsfvUz2jH88EHH5zlBB01TYIrpdHi/iY6bYCTegSOFme+0rupv9gqV6dOnbwKK8TRYN27d8cPP/xg/Y24kx3nTu9CeidS36Kdz5SvYcOGGXu0cIJ2u8+cOdOKge+//z7vnam+tTWjhjvuuEMINpdbi1FoodGNN95oNdxNQGfuakZcqGil7kmFijY5bZo+KVSNn277UfNHh1jtuy/EQlq75XSLkxj6iN9RNWjIjm4/8kiIa1mi2wilpmWwFvLRNTCU6CoY2RhFVd1sNzgCzF9wDHVaMJ0/08cvOmMnt27TsTa9r8QpllT4UhR/CxYAe+yRfYQ6fZuko9y3206FmymbZL9HD2D5crsOuv5QbCRK9JFDARArir8A9XHRcBFg/sLFM2prpvOne/zCAnrUEc31VYsAdXgSz0kAJ9GOdouT0EepOgH9GXEmI93ZTInEiZEjR+bVQ4JRaWkploqzFXcXZyt+RQMeTsoRqKystHbTrhOXUu65557WzufcxPwppyGrAtoJS/2M0vnnn28d4Z2baNcs9RM6SWDrrbfGwoULrXu4OelHgK6hOOaYYyxHLrnkEtx55515TjkXDNHOddoBnZs+/PDDzMKJiy++2FqwxClcBMrLy8VdvLth5cqVlmBOi1bot42Sm4DO3IXLQU2ypntSoRpr0yeFqvHTbV8Hf3SC5l/+kr0xSAxJxTwD4rSqcBGho9vF7VOYP9+2a8LR7enW6OAvXIZqtjXmL9n8m86f6eOXOEWf6Vib3lfiFEsqfCmav+efB2jntzP17g1MnQpx9Gj4rtKJgPR95bffsm3fdBPELpTw60uIxaL5S0j7THeT+Us2w6bzp3v8wgJ6svuHcd7/+9//xrBhw7Dzzjvjyy+/tI4s9iKg0z3O6aOM54svV+3atZNiQ/cBP/DAA9bfaAcnHSvOST0CBxxwgLXTlY56JyEpNzF/6jlw1uA8HppEVLrqQJbGjBljHe1O6Y033sARRxwRraNcmxQB6kPpEx/+IpQBEtSdie7P3nbbba2j3mnXMy2CcEv099mzZ1uLi+bOnct3oYccc7TQgfj529/+hnHjxqGsrKxaAZ25C5mAGmZO96RCNdymTwpV46fbvi7+6ACd667Lbj2tzRXDGnECSzioiDWi1p3rL76YbY9uwxG3HRmRdPFnBHgxaATzFwMSArhgOn+mj18CUB96UdOxNr2vhB4QMTMYiL/BgyEm3NktEt9/ce+94YrotONcbPQSO4Oy66KB4Pjx4dYVM34KuROIv0LG+e/KEWD+lEOstALT+dM9fmEBXWn4snE/CMyZM0fs3Ohi3ck8ZcoU6z5t2q3nRUCnO4Jpp1/nzp2to4jd0ngxoKEjxSk9+uijGEyDLE7KEaCd57Tjn0S/5c4jjrbUzPwppyCrAjrZYfr06daChqqqKusIb1miBSx0TzolOsI9vXM2Wm+5tlwElojzaOnqBEok0L700ktZWX7++efMcexuJwykC9DfH6TLWUWicp06dWLAQ0KArq446aST0LJlS+t3iY68LSSgM3chgV9DzeieVKiG3fRJoWr8dNvXxZ843Ar9+gF0TaUz0frAG24IjoqYtmDAAIB2uzsTXYlJz2rVCl5HHCzo4i8ObTfBB+Yv2Syazp/p45c4RZ/pWJveV+IUSyp8CcQffWcU3x1Bd/g4E33/JWE9jNMU16+nDzDA669n10F3A4lv2GjQQAUsibEZiL/EtNJcR5m/ZHNrOn+6xy8soCe7fxjlfT/xdWuyuCSQdiM/+eSTVtu8COi0G5PuPaede8cddxxeeOEFV1w+++wzcR+iuBBRJNrpfvPNNxuFYRwbs2jRIvzpT3+y7mKmnegff/xxlpvMX/SskZBHd2nvtdde+Pzzz10doOsOSPyjNHDgwMxd9tF7zDU6EXheHFF2wpYjymTvsVfEJax0lzql22+/HZdddpkrgPT3oUOHWn+nckcddRSDHQICtDCF7qBfIO5ke0hsQTxnyxbEQgI6cxcC+DXYhO5JhWroTZ8UqsZPt32d/NHV3TT8zz1pU/wE4tJLixe5ly1LfUcVaxKzkpiW4OuvIU6D0Y16ePXr5C+8VtRcS8xfsrk3nT/Txy9xij7TsTa9r8QpllT4Epi/d98FDj0UoNWTzkSDtf/+F2jYsHi3xfdmnHce8PDD2TboVFOx8UTscCjetiElA/NnCA5JbQbzl1TmUn6bzp/u8QsL6MnuH8Z4T8evk3DeokULa6de2y0XE3oR0Ck/CRWU6O7Ye+65xxUXEg1JPKR08sknixN2xBE7nJQiQAIfHc1P6ZZbbsE//vGPrPqYP6Xw5xlfs2aNmDekJg6y479zCzRp0gSrVq2y7tCmHemc9CJAd9MffPDBmYUodJ/9/vvvn+UU3Wk/ZMgQ69kzzzwjdsaJrXEu6dlnn7UWR1CicrQjnVNwBM4Tk2sSzukEhxkzZmSOxi8koDN3wbGvyRZ0TypUY2/6pFA1frrt6+aPhjB04qZYz5mVjj+eTqWCmIP4Q0hMKUC7zOk+dWcSh/uIk2FS329NSrr5MwlLHW1h/nSgHl6dpvNn+vglvEgIbsl0rE3vK8EjIN4WQuFv4kTglFMA2i3uTHQnOg3QxKmYvhNdQzliBDB2bHZR+rZMA8wddvBt0sQCofBnIjAJaRPzlxCiXNw0nT/d4xcW0JPdP4zwno4jJgGcdirfd999oHvK08mLgE4CUteuXa0iI8Sghu5tdkurV69Go0aNrD/TDs1JkyYZgWFcG/HRRx+hR48e1u5zumOZ7lpO45/2mfmLlr3FYhtWmzZtrErpeOkJEyZU6wAtZqG+ufvuu1vH8HPSi8Ctt96aWYRyvPjq/9xzz+U5RAtVhg8fbj1/TZwf27dvX1en6e/pXee00OXvf/+73gYaUDsJ5nRNQp06dYSwMgt77LFHplWFBHTmzoAA0NgE3ZMK1U03fVKoGj/d9uPA3113pXac5ya6vYQ2JomDkjyl338HjjgC+O677OwkwtOx7WLNoXEpDvwZB2qEDWL+IgRbQVWm82f6+EVBSBRt0nSsTe8rRROfkIKh8UdHrNMKSfH9NyvRxgMaqJWUeEdEnNKHCy8E5s7NLkPHtb/9tpmDPu/oZOUMjb8i6+diwRBg/oLhp7u06fzpHr+wgK47wrl+nHXWWXjsscdw4IEH4v3330ft2rUzqHgR0OkuZxIrKF1zzTW49tprXVGl3ZskalCiO9bprnVOahBYuHChtTOWXnK1xAWQhPWhku04zJ8a/N2slpeXg+6cp3T66afjiSeeqNaB9P30O4hVtT/++GO0znJtWQi88847OPzww60FKbQI4ssvv8yc1uHMeN1111l31lOaOnWqtN+l87/11lvWu5ASlbv66qsZ9QAIrFu3DnvvvbcQVb6TXhNSSEBn7gKAz0Wt39ttt5wZTe96WrhmUjJ9UmgSV7K2xIE/On1z1Cj6vcv3kK7GFGvUcPHF7ke60zDo8cdTp3eKGzqyEh2e9cYbqes3TUxx4M9EXKNqE/MXFdJq6jGdP9PHL2qiojirpmNtel8pjvXklAqVv/feoyMXAbpvx5nonp0zz0yJ4p07u4Mzf35q1aU40S8vie+boJ3uJNJzyiAQKn+Ma+QIMH+RQx5qhabzp3v8wgJ6qOFqrjESbOrRl6WAiYTyM2mwsiWlBXIStWfOnGkJD87kRUDnHcyFSVHFn1vNK1asQJ8+ffDpp59aWW688UaMHDlSmp35K8xfmDl4B3qYaEZn65tvvkHPnj1B99LXr18fr4tV1b169ZI6wLuYo+Mlt6a0QE4LT7799ls0prN8HamQgM7c6ePOhJp1TypUY2j6pFA1frrtx4k/2nwk1hCisjIflT/9KXVf+j77pP7bbTeArtQcNw6gb7GyROsSaU0uXYNpaooTf6ZirLJdzJ9KdNXbNp0/08cv6iPEew2mY216X/HOdDJzhs7f558DRx4JiFMYpUlsThD3gELs5gLmzQPoiCH6b84c4IEH8sV3MrLVVqmj3M8+O5kgK/Q6dP4U+sqm8xFg/pIdFabzp3v8wgJ6svtHZN6rEGDXrl0rdmnsiR9++AGXX345brvttrz2eBHQ+Q7twmGggj+3WumObToS+m06zkikoUOHih09YkuPS2L+CvMXZg6+Az1MNKOx9csvv1hXIcwTkzpabET3mtPx7W6J79GOhpfcWuhdttdee4F2ob/44os49thj8xwpJKAzd3q4M6VW3ZMK1TiaPilUjZ9u+3HjTxzSgJNPhjj9KhgytHnpzTchTn8IZifupePGX9zxipt/zF/cGPHnj+n8mT5+8ce22tymY216X1EbHfqtK+FPfG8Wx/gBNPALmsQmIdx/P7DzzkEtGVleCX9GIhXPRjF/8eTFq1em86d7/MICutdI5HwgcSBoat++PZo3b26ZGT9+PAYNGoS6detad583adIkzzzt4KMjbSn1798fAwYMsP6fjnvvRBcWirRy5Uo0bdrU+v/jjjsOL7zwgqubn332mdhVIraViDRs2DDcfPPNQZuUmPJh8ydrOAn1J5xwQuZu+XPOOQcPPfRQtRgxf9GHUOvWrVFRUWGJfZ/TqlyXRLudW7Zsaf114MCBePrpp6N3tobXSKI57Tz/+eefrasQxoktcGeccUa1qLz88ss45phjrDy33347LrvsMtf89Hda5ELpFXG/V/o+9BoOe1HNP//88/Hggw9i++23x7/+9S+pjWeffVac9iaOexOJrhzZjbY2ikR80W515q4o6LnQFgR0TypUE2H6pFA1frrtx5G/9eshri6BmA8Uhw7dTCSmM+JaleLKJ6lUHPlLEn66fWX+dDMQrH7T+TN9/BKM/XBLm4616X0l3GiInzVl/IlrrnDJJRAfiwG6z8dvom9itCnob39zv+fHr00D8yvjz0Cs4tgk5i+OrHj3yXT+dI9fWED3HoucM2QESAgaPHhwUVZzj4JP39PcWWwDqU4oTov2VOmjjz5adP1FOW14Ibpf/tRTT8WECROslp500kl46qmnsu60d4OA+Ys2OA455BDQ3fMk2FVVVVmLWGTpgw8+QLdu3aw/0Z3ao0ePjtbRGl4bLXKgY9ppIRGle+65R5wwJo4YK5BIbKc76ymRqEu7mt1SWvSlv1O59MKkQnXw3/MRoOtJHqfLcYtIdMpAx44dLQ6YuyIA5CIWAronFappMH1SqBo/3fbjzJ9YP2ad4Pnrr4VRKimBGO+mvqHSzVN0DWZNSHHmrybgH7SNzF9QBPWWN50/08cveqMnu3bTsTa9r8QpllT4opw/Mee2dpA/8oj8Hh9Zo+jOHxLPxSYUTtUjoJw/JkApAsyfUniVGzedP93jFxbQlYcwV+CGQJgCOu1kJ3Gc0vz589GuXTtptRdccIG4ykbcZSPS7Nmzxck7fPROWBF67rnn4uGHH7bMHX300XjuuedQr149T+aZP08whZbpyiuvtO6lp/Thhx9aJzrI0pgxY3DFFVdYf6I7t4+k+6M4RYLAsmXLcKjY2jZr1iyrPuJixIgRnureLFZVl5aWWke+77LLLvjuu+9cy+26667WoqM/iUtfy8WxZrTLnVNxCIQhoDN3xWHPpVII6J5UqObB9Emhavx02487fxs3QvweAuKwqqz/xDpDsdCQxrYp0VzcUmRdf1nTUtz5q2l8+G0v8+cXsXjlN50/08cvcYom07E2va/EKZZU+BIZf+LaSfz3v8C99wKffJJqirgqD+LEVGyzDcTHEWC77egYRogdJSqaaqTNyPgzEj39jWL+9HMQxAPT+dM9fmEBPUh0clnlCHi5A52coKOlacczJRIGR44cmefbH3/8YYlKdCw1HZv7zTffKPe/plRAR0DTUdCUDjvsMOso6Pr163tuPvPnGapQMn788ccZ0dxthzKdKLD77rtb4muLFi2waNEizwsiQnGyBhuhdxUtVnjvvfcsFK666ipcf/31vhC58MILrasxKNFJAgcddFBeeVo8cfDBB1vPKf+9NIHkpBSBQnegp7lg7pTSYKxx3ZMK1cCaPilUjZ9u+0nkj075FMMfcf0U0KCBbgT11p9E/vQiFq/amb948eHXG9P5M3384pdvlflNx9r0vqIyNuJgWwt/lZXAunWp+3hIROdUNAJa+CvaWy6YiwDzl+yYMJ0/3eMXFtCT3T+M996rgL5eXGJIOyl/+uknNGvWzNq1mT4GNw0SHX08duxY65+5R8AbD6TCBjoFITru+4033rCOBveTmD8/aIWTN32MOx3f/u6772aE1LT1W265BcOHD7f+OWrUKBDPnNQjsE5M3ug+bOpHlC699FLccccdviv+4Ycf0KVLF2zYsAH777+/xXHDhg0zdlavXg2KgZkzZ1pH+NMx8TvttJPveriAPwS8COjMnT9MObeNgO5JhWouTJ8UqsZPt33mTzcDwepn/oLhp7s086ebgWD1m86f6eOXYOyHW9p0rE3vK+FGQ/ysMX/x48SPR8yfH7Til5f5ix8nfjwynT/d4xcW0P1EI+eNHAGvAjo59uqrr1rCE+2cbdu2La6++mp07drV2nH+0EMPYeLEiZb/PXr0ANmtw6sLA/N5991345JLLrHs0BHQ/xXHIDWnbTrVJLqnXna0O/MXmA5fBj4TZ5R2794dJKQ2adIEdKx7nz59rH/TPfYPPvigZY+uOSCRtWnTpr7sc+biEOjfv791/QElOsKdxPPqjlXfSpwj63YVBR2/T0e/U9pnn32sI+BpYREtNLrpppvEEbXinFqRKN8NN9xQnMNcyhcCXgT0NCfMnS9oObNAQPekQjUJpk8KVeOn2z7zp5uBYPUzf8Hw012a+dPNQLD6TefP9PFLMPbDLW061qb3lXCjIX7WmL/4ceLHI+bPD1rxy8v8xY8TPx6Zzp/u8QsL6H6ikfNGjoAfAZ2cI6H84osvFifwiCN4JIkEdTpevKSkJPK2mFhh79698c477/hq2i+//IKOHTtKyzB/vqAMnHnSpEk47bTTsHz5cqktEmapv+y4446B62ID3hDwewf5duJurjlz5kiN02Kic889F48++qhr5Weffba1WKJ27dreHORcgRDwKqAzd4FgrrGFdU8qVANv+qRQNX667TN/uhkIVj/zFww/3aWZP90MBKvfdP5MH78EYz/c0qZjbXpfCTca4meN+YsfJ348Yv78oBW/vMxf/Djx45Hp/Okev7CA7icaOW/kCPgV0MnBr7/+GnfddRemTp2KefPmWceJ0/Hup556Ks455xzruGJO4SAQtoDO/IXDix8rv/76K+68805LKKcfJNrRTIL5wIEDrcUojRo18mOO8wZEIEwBPe0Kne5AIvknn3yCiooKawHRAQccgPPPPx/9+vUL6DEX94OAVwGdufODKudNI9evavkAACAASURBVKB7UqGaCdMnharx022f+dPNQLD6mb9g+OkuzfzpZiBY/abzZ/r4JRj74ZY2HWvT+0q40RA/a8xf/Djx4xHz5wet+OVl/uLHiR+PTOdP9/iFBXQ/0ch5GQFGgBFgBBgBRoARYAT+v717j/epyuM//sklucW4hKhEpYtScu1KNTPpMh6SUSmTySB6mDKIylRGMUyji1SUmMdUhphSJA/GlJk0FFJGeZA745JRqYSp3++zHr9zfqdzvt9zvvvsy1p7ndf+Z+S791rr+3zvbdb+fvYFAQcFbJ9UxE3i+0lh3H622yc/2wmE65/8wvnZ3pr8bCcQrn/f8/N9/hIu/Wi39t3a92Ml2r3BvdbIz71MgoyI/IJoubcu+bmXSZAR+Z6f7fkLBfQgeyPrIoAAAggggAACCCDgoIDtk4q4SXw/KYzbz3b75Gc7gXD9k184P9tbk5/tBML173t+vs9fwqUf7da+W/t+rES7N7jXGvm5l0mQEZFfEC331iU/9zIJMiLf87M9f6GAHmRvZF0EEEAAAQQQQAABBBwUsH1SETeJ7yeFcfvZbp/8bCcQrn/yC+dne2vys51AuP59z8/3+Uu49KPd2ndr34+VaPcG91ojP/cyCTIi8gui5d665OdeJkFG5Ht+tucvFNCD7I2siwACCCCAAAIIIICAgwK2TyriJvH9pDBuP9vtk5/tBML1T37h/GxvTX62EwjXv+/5+T5/CZd+tFv7bu37sRLt3uBea+TnXiZBRkR+QbTcW5f83MskyIh8z8/2/IUCepC9kXURQAABBBBAAAEEEHBQwPZJRdwkvp8Uxu1nu33ys51AuP7JL5yf7a3Jz3YC4fr3PT/f5y/h0o92a9+tfT9Wot0b3GuN/NzLJMiIyC+Ilnvrkp97mQQZke/52Z6/UEAPsjeyLgIIIIAAAggggAACDgrYPqmIm8T3k8K4/Wy3T362EwjXP/mF87O9NfnZTiBc/77n5/v8JVz60W7tu7Xvx0q0e4N7rZGfe5kEGRH5BdFyb13ycy+TICPyPT/b8xcK6EH2RtZFAAEEEEAAAQQQQMBBAdsnFXGT+H5SGLef7fbJz3YC4fonv3B+trcmP9sJhOvf9/x8n79kSv/w4cPywgsvyMyZM+XDDz+UXbt2SfXq1aVBgwbStm1b+elPfyrdunULt+Nk2Np3a9+Plch3CMcaJD/HAgk4HPILCObY6uTnWCABh+N7frbnLxTQA+6QrI4AAggggAACCCCAgGsCtk8q4vbw/aQwbj/b7ZOf7QTC9U9+4fxsb01+thMI17/v+fk+fymc/urVq6VHjx7y0UcfZd0xatSoIfv37w+342TY2ndr34+VyHcIxxokP8cCCTgc8gsI5tjq5OdYIAGH43t+tucvFNAD7pCsjgACCCCAAAIIIICAawK2Tyri9vD9pDBuP9vtk5/tBML1T37h/GxvTX62EwjXv+/5+T5/KZi+Fs87duwo+/btk6OPPlp69eolnTp1kkaNGpmC+ebNm2XRokWyZMkS2bJlS7gdhwK6lC9fPnJDGoxPwPd/6+KTc6Nl8nMjh9KOgvxKK+fGdr7nZ3uuSAHdjf2cUSCAAAIIIIAAAgggUGoB2ycVpR54jhv6flKYI0NqVyO/1EZnBk5+5JdugXSP3vfjz/f5S97ed/DgQWnRooWsW7fOPKp9wYIF0rx584w756FDh0yBPerFd2vfj5Wo9wfX2iM/1xIJNh7yC+bl2trk51oiwcbje3625y8U0IPtj6yNAAIIIIAAAggggIBzArZPKuIG8f2kMG4/2+2Tn+0EwvVPfuH8bG9NfrYTCNe/7/n5Pn/JS3/UqFEyYsQI85+LFy+WDh06hNsxSrG179a+HyuliDxVm5BfquIqMljyI790C6R79L4ff7bnLxTQ0318MHoEEEAAAQQQQAABBMT2SUXcEfh+Uhi3n+32yc92AuH6J79wfra3Jj/bCYTr3/f8fJ+/aPqa4UknnSTbt283hXMtoNtYfLf2/Vixsc8k2Sf5JakdfV/kF71pki2SX5La0ffle3625y8U0KPfZ2kRAQQQQAABBBBAAIFEBWyfVMT9ZX0/KYzbz3b75Gc7gXD9k184P9tbk5/tBML173t+vs9fNH19p/kll1xidoQnn3xS+vfvb/789ddfy44dO6Rq1apSr149KVeuXLidpYStfbf2/ViJdedwoHHycyCEEEMgvxB4DmxKfg6EEGIIvudne/5CAT3EzsmmCCCAAAIIIIAAAgi4IGD7pCJuA99PCuP2s90++dlOIFz/5BfOz/bW5Gc7gXD9+56f7/MXTX/cuHEydOhQsyOsWLFCDh8+bB7nvnDhQvnuu+/M39eqVUu6dOli/l7vVo9j8d3a92Mljn3CpTbJz6U0go+F/IKbubQF+bmURvCx+J6f7fkLBfTg+yRbIIAAAggggAACCCDglIDtk4q4MXw/KYzbz3b75Gc7gXD9k184P9tbk5/tBML173t+vs9fNP1evXrJ1KlTzY4wceJEGThwoBw5ciTjjlGzZk159dVX8+9YD7L3qGVxy86dO6VNmzZmlU2bNkmjRo2CNO/8unqs7N2714yzTp06Ur58eefHzAD/vwD5pXtvID/yS7dAukfv+/Gn85vGjRubkLZu3Zr4/IUCerqPD0aPAAIIIIAAAggggADvQGcfcFrA9wKQ0/gRDI78IkC02AT5WcSPoGvf8ysLBfTOnTvLnDlzzN5QqVIlOXTokAwZMkT69u1rfgTWH4OffvppeeSRR+T777+X2rVrywcffCANGzYMtAcdddRROa///vvvy/HHH5/z+mlYUe/m//zzz81Qa9SoEfsj8dNgkqYxkl+a0io6VvIjv3QLpHv0vh9/+rqb888/34REAT3d+yqjRwABBBBAAAEEEEDAioDvP0D7XkCwstMk2Cn5JYgdQ1fkFwNqgk2SX4LYMXTle36+z190l7jiiitk0aJF+XuHPtJ98ODBRfaW0aNHyz333GP+fsCAATJhwoRAexQFdArogXYYx1b2vQDkGHfkwyG/yEkTbZD8EuWOvDPf86OAHvkuQ4MIIIAAAggggAACCJQtAd9/gPa9gOD73kp+6U6Y/Mgv3QLpHr3vx59L8xd9rHrFihVD7zDPP/+83HrrrfntXHPNNTJ37lzz33rHuT4+PdPjxbX/E088UfRR63oX+p49eyRIUZxHuPMI99A7r8UGfH8EsUXaRLomv0SYY+uE/GKjTaRh3/PjEe6J7EZ0ggACCCCAAAIIIICAvwIu/QAdh7LvBYQ4zFxqk/xcSiP4WMgvuJlLW5CfS2kEH4vv+bk0f4mrgH7jjTfK9OnTTfj6PvQpU6Zk3RFuvvlmeeGFF8znGzZskCZNmgTfabJs4ZJ1ZF+qQEO+HytxmLnUJvm5lEbwsZBfcDOXtiA/l9IIPhbf87M9f+Ed6MH3SbZAAAEEEEAAAQQQQMApAdsnFXFj+H5SGLef7fbJz3YC4fonv3B+trcmP9sJhOvf9/xcm798/PHH4QL7v1s3aNDAvIM7bxk6dKjoY9t1GTFihIwcOTJrH8OHD5cxY8aYz5cuXSrt2rULPZ68BlyzjuyL/b+GfD9WovZyrT3ycy2RYOMhv2Berq1Nfq4lEmw8vudne/5CAT3Y/sjaCCCAAAIIIIAAAgg4J2D7pCJuEN9PCuP2s90++dlOIFz/5BfOz/bW5Gc7gXD9+56f7/MXTX/atGn5j3TXd5w/9NBDWXeKgsX25cuXS6tWrcLtQAW29t3a92Mlsh3B0YbIz9FgchwW+eUI5ehq5OdoMDkOy/f8bM9fKKDnuCOyGgIIIIAAAggggAACrgrYPqmI28X3k8K4/Wy3T362EwjXP/mF87O9NfnZTiBc/77n5/v8RdPfuHFj/qPYu3fvnv8490x7RteuXWX27Nnmox07dpi72aNafLf2/ViJaj9wtR3yczWZ3MZFfrk5uboW+bmaTG7j8j0/2/MXCui57YeshQACCCCAAAIIIICAswK2TyrihvH9pDBuP9vtk5/tBML1T37h/GxvTX62EwjXv+/5+T5/yUu/ZcuWsnLlSqlZs6Zs375dqlSpUmTH+PLLL6Vhw4ai/9u0aVNZv359uJ2n0Na+W/t+rES6MzjYGPk5GEqAIZFfACwHVyU/B0MJMCTf87M9f6GAHmBnZFUEEEAAAQQQQAABBFwU2LRpk5x88slmaMuWLYv0jiUXvq+eFH722WdmKLVr15by5cu7MCzGkKMA+eUI5ehq5OdoMDkOi/xyhHJ0Nd/z27lzp7Rp08bo653ajRs3djSJcMOaMWOG6N3nuvTr10+eeuqpIg327t1bnnvuOfP3+s70wYMHh+u00NbMFSPlpLGIBXz/ty5iLueaIz/nIgk0IPILxOXcyr7nZ3uuSAHduV2eASGAAAIIIIAAAgggEExA35OZ9wN0sC1ZGwEEEEAAAQQQsC+gFwC2bt3a/kBiGsHVV18t8+bNM63rn/v06SMnnHCCbNmyRZ5++mmZP3+++ey8886Td955R4455phIR8JcMVJOGkMAAQQQQACBhAVszBUpoCccMt0hgAACCCCAAAIIIBC1AD+KRi1KewgggAACCCCQpICNH0WT/H4HDhwQfcf5ggULsnarFxDMmTNH6tevH/nQmCtGTkqDCCCAAAIIIJCggI25IgX0BAOmKwQQQAABBBBAAAEE4hA4ePCgfPjhh6bpunXrSoUKFeLoxlqbBR/b5eMj6q3BJtQx+SUEHVM35BcTbELNkl9C0DF143t+R44ckT179hi9s88+O/K7rmOKJVSz06dPl2nTpsmqVavM62n0vejnnnuu3HjjjdKzZ8/YXlPDXDFUbGwcs4Dv/9bFzGe9efKzHkGoAZBfKD7rG/uen+25IgV067s4A0AAAQQQQAABBBBAAIHiBLZt22Yec6rL1q1bpVGjRoClSID8UhRWhqGSH/mlWyDdo+f4S3d+jD45AY6V5Kzj6In84lBNrk3yS846jp7ILw7V5Nokv3itKaDH60vrCCCAAAIIIIAAAgggEFKAk8KQgJY3Jz/LAYTsnvxCAlrenPwsBxCye/ILCcjmZUaAYyXdUZMf+aVbIN2j5/gjv3QLxDt6Cujx+tI6AggggAACCCCAAAIIhBTgpD4koOXNyc9yACG7J7+QgJY3Jz/LAYTsnvxCArJ5mRHgWEl31ORHfukWSPfoOf7IL90C8Y6eAnq8vrSOAAIIIIAAAggggAACIQU4qQ8JaHlz8rMcQMjuyS8koOXNyc9yACG7J7+QgGxeZgQ4VtIdNfmRX7oF0j16jj/yS7dAvKOngB6vL60jgAACCCCAAAIIIIBASAFO6kMCWt6c/CwHELJ78gsJaHlz8rMcQMjuyS8kIJuXGQGOlXRHTX7kl26BdI+e44/80i0Q7+gpoMfrS+sIIIAAAggggAACCCAQUoCT+pCAljcnP8sBhOye/EICWt6c/CwHELJ78gsJyOZlRoBjJd1Rkx/5pVsg3aPn+CO/dAvEO3oK6PH60joCCCCAAAIIIIAAAgiEFOCkPiSg5c3Jz3IAIbsnv5CAljcnP8sBhOye/EICsnmZEeBYSXfU5Ed+6RZI9+g5/sgv3QLxjp4Cery+tI4AAggggAACCCCAAAIhBTipDwloeXPysxxAyO7JLySg5c3Jz3IAIbsnv5CAbF5mBDhW0h01+ZFfugXSPXqOP/JLt0C8o6eAHq8vrSOAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIpESAAnpKgmKYCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALxClBAj9eX1hFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEUiJAAT0lQTFMBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIF4BSigx+tL6wgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACKRGggJ6SoBgmAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEC8AhTQ4/WldQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBlAhQQE9JUAwTAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBeAQro8frSOgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBASgQooKckKIaJAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBCvAAX0eH1pHQEEEEAAAQQQQAABBGIQeOONN+Sqq67Kb/n++++XBx54oMSe1qxZI0888YQsXLhQtm/fLtWqVZMzzjhDevToIbfddptUqFChxDZYIXeBLVu2yNy5c+Xvf/+7rFq1SrZt2yb/+9//pE6dOnL++efLDTfcIN26dcvZnfxyt49iTc3v8ccfNxnqnytVqiSnnHKK/PznP5f+/ftLlSpVouiGNgIIrFixQubPny9LliyRjz76SHbv3i0VK1aU448/Xi644ALz79jFF1+cc4va1qRJk2TZsmWyZ88eqVu3rrRp00b69OkjV155Zc7tsGI4gaFDh8q4cePyG1m8eLF06NCh2EbJLpw5W/stwDwxPfkyV0xPVplGylzRrfyYJ7qVR5SjYa4YpWbubVFAz92KNRFAAAEEEEAAAQQQQMABga+++krOOuss2bx5c/5ocimgP/fcczJgwAD59ttvM36Ldu3ayeuvvy61a9d24Fumfwi//e1vZdSoUfL9998X+2VatWols2bNkhNPPLHY9cgv2X1Ci+Z6Ycnnn3+eseNmzZrJvHnzpEmTJskOrAz3dumll8rbb79dosAtt9wizz77rBx99NFZ19Xjsl+/fqZ4nm3RIvrTTz8tRx11VIl9skLpBT744APRfwePHDmS30hxBXSyK701W5YNAeaJ6cmZuWJ6sso0UuaKbuXHPNGtPKIcDXPFKDWDtUUBPZgXayOAAAIIIIAAAggggIBlgUGDBsn48ePluOOOM3df6lJSAf3NN980d6x/9913Uq9ePbn33nulbdu2sm/fPpk8ebLMnj3btHPJJZeIFi7KlStn+Vumv/vevXuLFr2rVq0qXbp0kcsvv1xOPfVUOeaYY2Tt2rXmzubly5ebL6p/r3dM6BMBMi3kl+z+oD/S6N3MX3/9tclk+PDh0rFjR/nmm29k+vTp5pjR5fTTTzcZZsst2VH735ve/b9hwwZzt7k+uUHvNNcLT/SpDkuXLpVHHnnEPFlDlxtvvFFefPHFrCj6b+DDDz9sPj/vvPNE72pp2rSpaX/s2LGycuVK85mupxfCsMQjoP+fpBdv6XFU8P/Tiiugk108WdCqPwLME9OTJXPF9GRVeKTMFd3Ljnmie5lEMSLmilEolr4NCuilt2NLBBBAAAEEEEAAAQQQSFhAi6z6eGF91Lo+il3vkNSluAK63tWnj2lfv369HHvssaZQq4WigovemT5x4kTzV9OmTZOePXsm/M386+7uu+82d/PffvvtUr169SJfUIt+N910k8yYMcN8NnLkSBkxYkSR9cgv+X1Di+X62H09zvSO5/bt2/9gEPqoaS246vLggw+K3kHGEr/ANddcY/5t6tq1q5QvX75Ih3v37pULL7xQ1q1bZz7T7DI9zl3/LdR/E/XY0jufdb3KlSvnt6cXTuhdTO+9957ZBz7++OMi/2bG/23LRg+PPvqo3HXXXeZiFL3QaPTo0eaLZyugk13Z2C/4lqUXYJ5YejsbWzJXtKEeTZ/MFaNxjLIV5olRarrTFnNFu1lQQLfrT+8IIIAAAggggAACCCCQo4AWXLV4rj+OatFO7xbXH290Ka6APnPmTPPOZl20ODFs2LAiPWrBqFGjRvLf//5XmjdvLh9++GGOo2K1MAKfffaZuZv20KFDcs4554jezVJ4Ib8wwsG31Tth9TjTpW/fvuYR3oUXvRNCjxN9ksCPfvQj2bVrl3kPN4t9AX0NxbXXXmsGMnDgQHnssceKDKrgBUN657reAV14effdd/MvnLjjjjvMBUss0Qps3bpVzjzzTDlw4IApmOtFK/r/bbpkK6CTXbQZ0JpfAswT/coz79swV3QvV+aK7mWS64iYJ+Yq5cZ6zBXt50AB3X4GjAABBBBAAAEEEEAAAQRyEPjDH/4gQ4YMkdNOO01Wr15tHlmcSwFd3+Oc9yjjnTt3Sv369TP2pu8DfuaZZ8xnegenPlacJX6B1q1bmztd9VHvWkgqvJBf/BkU7KHg46G1iKqvOsi0jBkzxjzaXZcFCxbIj3/842QHSm8ZBfQYynviw9VXXy36Q2nBRd+ffcIJJ5hHvetdz3oRRLZFP//kk0/MxUVbtmzhXegR73N6oYPm84tf/EKmTp0qDzzwQLEFdLKLOACa806AeaJ3keZ/IeaKbmXLXNGtPIKMhnliEC376zJXtJ8BBXT7GTACBBBAAAEEEEAAAQQQKEFg06ZNctZZZ5l3Mi9cuNC8T1vv1sulgK7vCNart5s1a2YeRZxteemll8wjxXWZMmWK9OrVi1wSENA7z/WOfy36ffHFF0V6JL8EQijQhT7ZYcmSJeaChv3795tHeGda9AIWfU+6LvoI97w7Z5MdLb0VFti3b595dYIu+qPbnDlzfrDKp59+mv849mxPGMjbQD+fNGmS+U/d7uSTTwY8IgF9dUX37t2lVq1a5v+X6tatW2IBnewiwqcZLwWYJ3oZa/6XYq7oVr7MFd3KI8homCcG0bK7LnNFu/55vVNAdyMHRoEAAggggAACCCCAAALFCHTq1Enmz58vejfyn//8Z7NmLgV0vcpe33uud+517txZXnnllay9rFy5Ulq2bGk+1zvdx44dSyYxC+zevVsaNmxo3sWsdxctW7bsBz2SX8wBZGheC3n6Lu0WLVrIqlWrsg5AX3egxT9dunXrlv8u++RHTI8FBf7617/Kddddl/Xfsblz54q+I1OX8ePHy5133pkVUD8fNGiQ+Vy3u+qqq8COQEAvTNF30P/nP/+RyZMnS+/evU2rJd2BTnYR4NOEtwLME72NVpgrupctc0X3Msl1RMwTc5Wyux5zRbv+BXungO5OFowEAQQQQAABBBBAAAEEMgjo49e1cF6zZk1zp169evXMWrkU0HV9LVToou+OnTBhQlZjLRrqD0K63HDDDaJ3pLPEK6AXKugjV3UZN26cDB48+Acdkl+8/oVbP3jwoFSuXNn8dabHfxdev1q1avLVV1+Zd2jrHeksdgX03fTt27fPvxBF31HaqlWrHwxK32l/++23m7+bOXOmXH/99VkH/fLLL5uLI3TR7fSOdJbwAn369DGFc32Cwz/+8Y/8R+OXVEAnu/D2tOCnAPNEP3PN+1bMFd3Kl7miW3kEGQ3zxCBadtdlrmjXv2DvFNDdyYKRIIAAAggggAACCCCAQCEBfcycFsD17pOnnnpK9D3leUsuBXQtILVp08Zscvfdd4u+tznb8s0330iVKlXMx3qH5muvvUYeMQr861//kosuusjcfa7vWNZ3Lef553VLfjEGkKHpPXv2yHHHHWc+0cdLT58+vdgB6MUsemw2b97cPIafxa7AI488kn8RSpcuXWT27NlFBqQXqgwdOtT8/RtvvCFXXnll1kHr53l3neuFLr/5zW/sfkEPeteCuT76tnz58rJixQo5++yz879VSQV0svNgB+ArRC7APDFyUqcaZK7oVBxmMMwV3csk1xExT8xVyu56zBXt+hfunQK6W3kwGgQQQAABBBBAAAEEECgg8Mtf/lKef/55adu2rbzzzjtSrly5/E9zKaDru5y1WKHLiBEjZOTIkVl99ap8LWroou9Y13ets8QjsGvXLnNn7LZt28zdl2p92WWXFemM/OLxz9bq1q1bRd85r8stt9wif/rTn4odQN776Zs2bSrr169PdrD09gOBt956S6644gpzQYpeBLF69er8p3UUXPF3v/udeWe9LosWLcp43OWt/7e//c38W6iLbnffffehHkLg0KFDcu6558ratWszviakpAI62YXAZ1NvBZgnehutMFd0M1vmim7mUtKomCeWJOTG58wV3cih4CgooLuXCSNCAAEEEEAAAQQQQCBVAlqwqVixYugxa6H81ltvzW8nr0CuRe333nvPFB4KLrkU0LmDueRY4sovW89ffvmldOzYUd5//32zyujRo2XYsGEZVye/kvOLcg3uKopSM7m21qxZIxdffLHoe+krVaokb775plx66aUZB8BdzMnlUrinvAK5Xnjy73//W6pWrfqDVUoqoJOdvezoOZxAXPMM5onhcgmydVwZMlcMkoIb6zJXdCOHIKNgnhhEy+66zBXt+mfqnQK6e5kwIgQQQAABBBBAAAEEUiUQx49q3377rZxzzjmybt06ueuuu+SPf/xjEZNcCui8Q7vkXSmO/LL1qu9N1EdCL1682KwyaNAg0ccJZlvIr+T8olyD91pGqZlMWxs3bjSvQtixY4d5goa+11wf355t4T3ayeRSuBf9t6xFixaidxa9+uqr8rOf/azIQEoqoJOdnezoNbxAHPMM5onhcwnSQhwZMlcMkoA76zJXdCeLXEbCPDEXJTfWYa7oRg6FR0EB3c1cGBUCCCCAAAIIIIAAAqkS0BO+sEuDBg2kRo0appmXXnpJbrrpJqlQoYJ593m1atWKNK938OkjbXXp2rWrXH/99ebP+rj3k08+2fz5wIEDUr16dfPnzp07yyuvvJJ1mCtXrpSWLVuaz4cMGSJjx44N+5VSs33U+WX64vrj63XXXZf/bvnevXvL5MmTizUiv+R3obp168revXtNsW/VqlVZB6B3O9eqVct83q1bN5kxY0bygy3jPWrRXO88//TTT82rEKZOnSo9e/YsVuX111+Xa6+91qwzgRM0SQAADJdJREFUfvx4ufPOO7Our5/rRS66zJ07N/996GWcvVRfv2/fvjJp0iRp0qSJPPTQQxnbePnll2XWrFnmM33lyJlnnmn+rHnp3epkVyp6NnJEIOp5BvPE5IONOkPmislnGFWPzBWjkoy3HeaJ8fpG3TpzxahFo2mPAno0jrSCAAIIIIAAAggggAACEQpoIahXr16larHwo+Dz3tPcrFkzKe7Hv7wfY7XTKVOmlLr/Ug3a8430/fI9evSQ6dOnm2/avXt3efHFF3/wTvtsBOSX7M5xySWXiL57Xgt2+/fvNxexZFqWLl0qF1xwgflI36n94IMPJjvQMt6bXuSgj2nXC4l0mTBhggwYMKBEFS226zvrddEf6vSu5mxL3g95+rlul3dhUomdsEIRAX09ybRp00olo3ePNW7c2GRAdqUiZCMPBZgn+hcqc8X0ZMpc0f2smCe6n1HhETJXdDMzCuhu5sKoEEAAAQQQQAABBBAo0wJR/jCqd7JrcVyXnTt3Sv369TPa9uvXT5555hnz2SeffCKnnXZamc4gyi//q1/9Sp599lnT5DXXXCOzZ8+WihUr5tQF+eXEFNlK99xzj3kvvS7vvvuueaJDpmXMmDEyfPhw85G+c/snP/lJZGOgoeIFPv/8c7nssstkxYoVZkXN4u67786J7fvvv5dGjRqZR76ffvrpsnbt2qzbnXHGGeaio4YNG8rWrVvNXe4spROI4kdRsiudPVv5KcA80b9cmSumJ1Pmim5nxTzR7XyyjY65opu5UUB3MxdGhQACCCCAAAIIIIAAAiUI5PIOdG1CHy2tdzzrooXBYcOGFWn566+/NkUlfSy1PjZ3zZo1+EckoI+A1kdB63L55ZebR0FXqlQp59bJL2eqSFZctmxZftE82x3KepdY8+bNTfG1Zs2asnv37pwviIhkkGW4Ef23Si9W+Oc//2kU7r33Xhk1alQgkf79+5tXY+iiTxJo165dke314on27dubv9f1n3zyyUB9sHJwgZLegZ6XBdkFt2WLsinAPDE9uTNXTE9WOlLmiu7mxTzR3WyiGBlzxSgUg7VBAT2YF2sjgAACCCCAAAIIIICAIwK5/jB6+PBh0TspN2zYIMcee6y5azPvMbh5X0UffTxx4kTzn4UfAe/I103lMAqe5OvjvhcsWGAeDR5kIb8gWtGsm/doTn18+9tvv51fSM1rfdy4cTJ06FDzn/fff79ozizxCxw6dMi8D1uPI11+/etfy6OPPhq443Xr1slZZ50lR44ckVatWpmMK1eunN/ON998I7oPvPfee+YR/vqY+FNPPTVwP2wQTCCXH0XJLpgpa5dtAeaJ6cifuWI6cio8SuaK7uXGPNG9TKIeEXPFqEVLbo8CeslGrIEAAggggAACCCCAAAIOCuT6w6gOfd68eabwpHfO1qtXT+677z5p06aNueN88uTJMmvWLPMNL7roItF2y5cv7+A3TteQnnjiCRk4cKAZtD4C+i9/+YvUqFGj2C+h76nP9Gh38ks2+5UrV8qFF14oWkitVq2a6KM6O3bsaP5b32M/adIkMyB9zYEWWatXr57sAMtob127djWvP9BFH+GuxfPiHqt+9NFHZ30VhT5+Xx/9rst5551nHgGvFxbphUa///3vRfcBXXS9hx9+uIyKJ/u1c/lRNC8Tsks2G3pLpwDzRPdzY67ofkbZRshc0b3smCe6l0nUI2KuGLVoye1RQC/ZiDUQQAABBBBAAAEEEEDAQYEgP4zq8LVQfscdd4henZ9p0YK6Pl68Tp06Dn7b9A2pQ4cO8tZbbwUa+MaNG6Vx48YZtyG/QJShV37ttdfk5ptvli+++CJjW1o81+PllFNOCd0XDeQmEPQd5CeddJJs2rQpY+N6MZG+b3bKlClZO7/tttvMxRLlypXLbYCsFUog1x9FyS4UMxuXIQHmie6HzVzR/YyKGyFzRbfyY57oVh5xjIa5YhyqxbdJAT15c3pEAAEEEEAAAQQQQACBCASC/jCqXX700Ufy+OOPy6JFi2THjh3mceL6ePcePXpI7969zeOKWaIRiPpHUfKLJpcgrWzevFkee+wxUyjftm2b6B3NWjDv1q2buRilSpUqQZpj3ZACUf4wmjcUfbqDFsmXL18ue/fuNRcQtW7dWvr27SudOnUKOWI2DyKQ64+iZBdElXXLsgDzRPfTZ67ofkYljZC5YklCyX3OPDE5a1s9MVdMXp4CevLm9IgAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg4KAABXQHQ2FICCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALJC1BAT96cHhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEHBSggO5gKAwJAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCB5AQroyZvTIwIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICAgwIU0B0MhSEhgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCQvQAE9eXN6RAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBwUIACuoOhMCQEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgeQFKKAnb06PCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIOClBAdzAUhoQAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkLwABfTkzekRAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQMBBAQroDobCkBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkheggJ68OT0igAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCDgoQAHdwVAYEgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBA8gIU0JM3p0cEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQcFKKA7GApDQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBIXoACevLm9IgAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg4KAABXQHQ2FICCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALJC1BAT96cHhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEHBSggO5gKAwJAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCB5AQroyZvTIwIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICAgwIU0B0MhSEhgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCQvQAE9eXN6RAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBwUIACuoOhMCQEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgeQFKKAnb06PCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIOClBAdzAUhoQAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkLwABfTkzekRAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQMBBAQroDobCkBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkheggJ68OT0igAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCDgoQAHdwVAYEgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBA8gIU0JM3p0cEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQcFKKA7GApDQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBIXoACevLm9IgAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg4KAABXQHQ2FICCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALJC1BAT96cHhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEHBSggO5gKAwJAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCB5gf8DZ/X5y4i97FcAAAAASUVORK5CYII=\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ext = [x0.min(), x0.max(), y0.min(), y0.max()]\n",
    "fig, axes = plt.subplots(ncols=3, nrows=1, figsize=(10,4), sharex=True)\n",
    "im = axes[0].imshow(zz.real, extent=ext, cmap='jet', origin='lower')\n",
    "# fig.colorbar(im, ax=axes[0])\n",
    "\n",
    "axes[1].plot( xx[int(xx.shape[0]/2),:],  zz.real[int(xx.shape[0]/2),:],   'b-', zorder=2)\n",
    "axes[1].plot(xx1[int(xx1.shape[0]/2),:], zz1.real[int(xx1.shape[0]/2),:], 'g-', marker='x', zorder=1)\n",
    "\n",
    "axes[2].plot( yy[:,int(xx.shape[0]/2)],   zz.real[:,int(xx.shape[0]/2)],  'r-', zorder=2)\n",
    "axes[2].plot(yy1[:,int(zz1.shape[0]/2)], zz1.real[:,int(xx1.shape[0]/2)], 'g-', marker='x', zorder=1)\n",
    "\n",
    "axes[1].grid(alpha=0.3, zorder=1)\n",
    "axes[2].grid(alpha=0.3, zorder=1)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "65096595",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import cm\n",
    "fig, axes = plt.subplots(ncols=3, nrows=1, figsize=(10,4), subplot_kw={\"projection\": \"3d\"}, \n",
    "                         sharex=True, sharey=True)\n",
    "# fig.colorbar(im, ax=axes[0])\n",
    "# surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm, linewidth=0, antialiased=False)\n",
    "\n",
    "surf1 = axes[0].plot_surface(xx, yy, zz.real, cmap=cm.coolwarm, linewidth=0, antialiased=False)\n",
    "surf2 = axes[1].plot_surface(xx1, yy1, zz1.real, cmap=cm.coolwarm, linewidth=0, antialiased=False)\n",
    "\n",
    "axes[2].plot_wireframe(xx, yy, zz.real, cmap=cm.coolwarm, linewidth=.8, antialiased=False)\n",
    "axes[2].plot_surface(xx1, yy1, zz1.real, cmap=cm.coolwarm, linewidth=1, antialiased=False)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fff92fde",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}