{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gpyfft version: 0.7.0\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from pylab import rcParams\n",
    "rcParams['figure.figsize'] = (9, 6)  # Figure size for inline display\n",
    "import numpy as np\n",
    "from scipy.fftpack import ifftshift, fftshift, fft2\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from pynx.utils.pattern import siemens_star\n",
    "\n",
    "# This will import the base CDI class and all relevant operators, in CUDA (default) or OpenCL\n",
    "from pynx.cdi import *\n",
    "\n",
    "if False:\n",
    "    # The following is only using on multi-GPU, multi-user (e.g. Amazon) machines\n",
    "    # Select a device number (0..15) to avoid resource conflict with other participants\n",
    "    from pynx.processing_unit.cuda_device import has_cuda\n",
    "    if has_cuda: # use cuda\n",
    "        from pynx.cdi.cu_operator import default_processing_unit_cdi\n",
    "        from pynx.processing_unit.cuda_device import cu_drv\n",
    "        default_processing_unit_cdi.init_cuda(cu_device=cu_drv.Device(0))   # Change this to you GPU number\n",
    "    else:\n",
    "        import pyopencl as cl\n",
    "        from pynx.cdi.cl_operator import default_processing_unit_cdi\n",
    "        # Only needed on Amazon to select one of multiple GPU\n",
    "        cl_devices=cl.get_platforms()[1].get_devices()\n",
    "        default_processing_unit_cdi.init_cl(cl_device=cl_devices[0])   # Change this to you GPU number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Test on a simulated pattern (2D)\n",
    "n = 512\n",
    "\n",
    "# Siemens-Star object\n",
    "obj0 = siemens_star(n, nb_rays=18, r_max=60, nb_rings=3)\n",
    "\n",
    "iobs = abs(ifftshift(fft2(fftshift(obj0.astype(np.complex64))))) ** 2\n",
    "iobs = np.random.poisson(iobs * 1e10 / iobs.sum())\n",
    "mask = np.zeros_like(iobs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Create CDI object, make sure it is fft-shifted\n",
    "cdi = CDI(fftshift(iobs), obj=None, support=None, mask=mask, pixel_size_detector=55e-6, detector_distance=1, wavelength=1.5e-10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Searching available OpenCL GPU[ranking by fft, fft_shape=(16, 400, 400)]:\n",
      "                                            Iris Pro [Apple]: 1536Mb [max alloc.: 384Mb],  13.13 Gflop/s\n",
      "                  AMD Radeon R9 M370X Compute Engine [Apple]: 2048Mb [max alloc.: 512Mb],  80.79 Gflop/s\n",
      "Using OpenCL GPU: AMD Radeon R9 M370X Compute Engine\n",
      "CDI OpenCL processing unit: compiling kernels...\n",
      "CDI OpenCL processing unit: compiling kernels... Finished (dt= 0.89s)\n"
     ]
    }
   ],
   "source": [
    "# Use auto-correlation to estimate the initial support\n",
    "%matplotlib inline\n",
    "from pylab import imshow, figure\n",
    "cdi = AutoCorrelationSupport(0.2) * cdi\n",
    "# restrict initial object to calculated support\n",
    "cdi.set_obj(cdi.get_obj() * cdi.get_support())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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7cSwWo7q6mmg0SlpaGjqdDrPZTFZWFi0tLQghGBwcpKSkhI6ODkpKSvD5fOh0OgYGBkhJ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\n1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7OJRCKMjo4SCAQ4efIkhw8fZnR0lNbWVpqbm9m9ezfPPPMMJ06cYNeuXcrdo7S0lJ6e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ngWy8pL4iGXy6ULi7PuGeg441ZQjJfE4+keMdeET1FPfIJZvJCQ4cklMp7kDhhjIDyR4Z8cSl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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11143ad68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "# Do 100 cycles of RAAR, displaying object at the end\n",
    "cdi = ShowCDI() * RAAR()**100 * cdi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.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",
       "        this.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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\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",
       "    {\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.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // 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",
       "\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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AwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBg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width=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nb points in support: 9187 ( 3.505%), threshold=528.668274  ( 0.400), nb photons=1.604797e+10\n",
      "LLK/nbpoint = 105390.090\n",
      "Nb points in support: 13321 ( 5.082%), threshold=350.148590  ( 0.400), nb photons=1.020755e+10\n",
      "LLK/nbpoint = 3770.617\n",
      "Nb points in support: 11870 ( 4.528%), threshold=374.667328  ( 0.400), nb photons=1.041411e+10\n",
      "LLK/nbpoint = 7170.760\n",
      "Nb points in support: 11271 ( 4.300%), threshold=384.242554  ( 0.400), nb photons=1.040048e+10\n",
      "LLK/nbpoint = 7100.281\n",
      "Nb points in support: 10801 ( 4.120%), threshold=393.968079  ( 0.400), nb photons=1.047770e+10\n",
      "LLK/nbpoint = 8554.064\n",
      "Nb points in support: 10504 ( 4.007%), threshold=398.374634  ( 0.400), nb photons=1.041881e+10\n",
      "LLK/nbpoint = 7558.000\n",
      "Nb points in support: 9619 ( 3.669%), threshold=416.581604  ( 0.400), nb photons=1.043302e+10\n",
      "LLK/nbpoint = 7781.222\n",
      "Nb points in support: 8398 ( 3.204%), threshold=439.466797  ( 0.400), nb photons=1.013697e+10\n",
      "LLK/nbpoint = 2309.802\n",
      "Nb points in support: 5589 ( 2.132%), threshold=535.405212  ( 0.400), nb photons=1.001335e+10\n",
      "LLK/nbpoint =  267.031\n",
      "Nb points in support: 4902 ( 1.870%), threshold=571.925964  ( 0.400), nb photons=1.002151e+10\n",
      "LLK/nbpoint =  405.837\n",
      "LLK/nbpoint =    8.290\n",
      "LLK/nbpoint =    8.293\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.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",
       "        this.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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\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",
       "    {\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.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // 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",
       "\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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AwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBg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width=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Activate live display\n",
    "%matplotlib notebook\n",
    "for i in range(10):\n",
    "    # Support update operator\n",
    "    s = 0.25+1.75*np.exp(-i/4)\n",
    "    sup = SupportUpdate(threshold_relative=0.4, smooth_width=s, force_shrink=False)\n",
    "\n",
    "    # Do 40 cycles of HIO or RAAR, displaying object every 20 cycle\n",
    "    cdi = (ShowCDI(fig_num=1) * RAAR() ** 20) ** 2 * cdi\n",
    "\n",
    "    # Update support\n",
    "    cdi = ShowCDI(fig_num=1) * sup * cdi\n",
    "\n",
    "    IFT() * LLK() * FT() * cdi\n",
    "    print(\"LLK/nbpoint = %8.3f\" % ((cdi.llk - cdi._llk_offset) / cdi._llk_norm))\n",
    "\n",
    "\n",
    "# Do 100 cycles of ER, displaying object at the end\n",
    "cdi = ShowCDI(fig_num=1) * ER() ** 20 * cdi\n",
    "\n",
    "IFT() * LLK() * FT() * cdi\n",
    "print(\"LLK/nbpoint = %8.3f\" % ((cdi.llk - cdi._llk_offset) / cdi._llk_norm))\n",
    "\n",
    "\n",
    "# Do 20 cycles of ML, displaying object every 20 cycle\n",
    "cdi = ShowCDI(fig_num=1) * ML(reg_fac=1e-2)**20 * cdi\n",
    "\n",
    "\n",
    "IFT() * LLK() * FT() * cdi\n",
    "print(\"LLK/nbpoint = %8.3f\" % ((cdi.llk - cdi._llk_offset) / cdi._llk_norm))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2*ERProj()*IFT()*ApplyAmplitude()*FT()*2j*ImshowRGBA()\n",
      "ERProj()*IFT()*ApplyAmplitude()*FT()+Scale()\n"
     ]
    }
   ],
   "source": [
    "print(2 * ER() * 2j * ImshowRGBA())\n",
    "print(2+ER())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pynx.cdi.cdi.CDI at 0x108379a90>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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HKhQKhbzg2smTJ9dwJasqQ0NDHkGQKw5x5cqlATaXMbG8vLzGuh4eHvYyKvzu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\nDGIQg9gnMViQBzGIQQxin8T/B6ovl7vyPHkfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f09fc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HKhQKhbzg2smTJ9dwJasqQ0NDHkGQKw5x5cqlATaXMbG8vLzGuh4eHvYyKvzu\nB8cWB8afnEgk1vi43bEcv4Y7jit3bgVcE1bnD3fl025OrWB/61rFm4NGmos2WlZcSTmXO3653nj+\nsfUoa/+YzepK0lJ0095ah3I+WTCKw0/s7hSmKxBxubuhUIhkMlmxU4hLt5uZmfGIjMpZic494rgs\nYrEYKysra1LhSilBVXVDGRIrKyuoqkeu7/zo7jxwqqQ6nU5XbeZaD5ohFxKRNwKvAhS4AxOo2wNc\nC4wCtwBXqGpWRKLAZ4EnAHPAi1T16IYmvY3RSmVW7VjN5io307WkXmxp+XQTQb3NwI5QyJXgOoKU\nYmJiwmuPlEqlvGwGvw94YWGBWCxGsVhcE/ibn59HRBgeHmZiYoJQKEQsFqO/v39NabQ/p9lxSgQC\ngXX5zLXypxcWFkin0x7BvV/xguHecClyLi3QESClUiny+fwaK7kV1m0jLgsR2Qf8CXC+qqZse6bL\nMZkUH1DVa0XkY8ArMbwVrwQWVPUcEbkceC/wog1Peoeh3vzeWmMqBedKx5SOK2dhV3ORNDLXtviU\ni3RdFu1CuQCZ44hwKBaLZDIZAoEA09PTxONx+vv7PQXqijRK94NTynh+fp7+/n6Pfa0WZmdnGR4e\nZmlpyeul51wxzsoNBAJrjuVI88PhsMds59LxIpGI9xbgUgU36hppkn4zBMRFJAf0ABPA04GX2O2f\nAd6OUciX2c8AXwL+XkRES6OkXZRFo1kO5TIknMKtVmDSKO1mx7d56hALedtkWWw2RkZG1qSS5fN5\nL/vBVdT5C09cMcrIyMgaBem3jPv6+upSxqrq8SW7AGIul/NS8PxKuFgseq4It2+hUCCfz3suGdez\nL5PJeEG4QCDg+ZQ3ikboN1X1BPC3wEMYRbyEcVEsqqp7JfHzUnicFXb7Esat0UWTqCeToZ7KuUq8\nGLWO2/HKGE5ZyP6lDojIpSJyr6WLfUvtParjtLSQ60Elv7SDyzOenp72fMSlpddOKTol67pHO+Xp\nDyI6Mn1X2edcKk7BOndKKpVaQ4DvGN9c5Z5T3i5w6acgdVbzRlDBQq5ILmSr6i4DzgIWgS/SYg7Z\nLhpDIx06qpVYu/UbOUfHoAkLWUSCwEeA38IYFT8Vka+p6l3NTqPjFfLRo0fp6elZY9mVdsIIBAKe\nj1ZEPLfCiRMnvB525bpo+P+6yj8XtJucnERECIVCXpWgg3MDuNLo+fl5YrHYOku41F9cCfW4Myph\nK/grSlF334TkAAAgAElEQVTGKq5GLnQJ8ICqzgCIyFeApwJDIhKyVrDjq4BTXBbHRSQEDGKCezsO\nzViOG8khbmbfajSejZyzGWypUm/Oh/xk4JCqHgEQkWsxxkfTCrnjXRa5XM5TpI6lDYwSdRkSzvJM\nJpNriOcdraXLTXZK11me/kCeiHD48GFvX+d/ddZtPp8nm816XMojIyOMjo4yPDzMTTfd5GVWLC8v\nMzs7u2kdn9uNJrgsHgKeIiI9Yp48z8AI7I3A8+2YUi4Lx3HxfOB7Xf/x1sK5OMq5LLaNC6JRFICl\n4NrFvvn5lleX7NVyStiOt5DdK7ZLKXOK0jG1wanX/b6+vjUK2bUvEtvt2SlfVaW3t9f77rp0+F0I\nlbIf7r333jWW7z333MN5553H/Pw8c3NzDAwMMDs763Eug2GWS6fTxGKxNX7crSIEajUaCeqp6s0i\n8iXgVsyL4c+BjwPfBK4VkXfZdZ+0u3wS+JyIHMK8RF7ewql3QeMMbE4Jlwv07RiXBSGgtMHEzJbz\nIde0kEVkv4jcKCJ3icidIvJ6u/7tInJCRG6zy7N9+7zVOrnvFZHf3tAEbTDKuRpc9oPzwzrFnMvl\n1vha3b6lbgmxveay2SyFQsGj1ty1axePetSjqs7lnnvuIR6Pe7m8d9xxB+eddx6A59ZwnTn8r/Xj\n4+NeeXc6nfYsbYd0Or2mRLuT4f4HjfTUU9W/UNXzVPVCVb1CVTOqekRVn6yq56jqC1Q1Y8em7fdz\n7PYjm3Ut7ZbtrUI3qFcPmuqqV4kqtmnUYyHngatU9VYR6QduEdM+B0we6d/6B4vI+Rir5gJgL/Ad\nEXmEqjaVAOtnenPFDqrqdf6IRqNkMhl6enrWvUK7NDFHqxmPx70KuUZw4sQJ74HgSOxvv/12Hv3o\nR68Zl8/niUQiXkqc6x49MjLikcUfO3aMfD6/rrw7GAyysrLiZUgUCgV6eno60oreQZV6bZXtzUCj\nlmk93Mel40ur8OrxTTfbRWTrUK7v9AO1dvopcK6InIVRxJdzKpWz6VlUheWinbCfV0Tkbqr7SS4D\nrrUWzwP21fPJGN7QhuFufsd6lkwmPQ4Kp7icKyCbza4pzjhw4EDD53OdOR566CEv2ObvJDIzM8PK\nygpnn30209PTJBIJL/Dn79Dhr/pbWFjwHiTlOp24IKHzT7tMi9nZWWZmZohGo55FHwqF6O3tXdef\nb6uwk7gs2i3bG0EzyqxWDnG10uhmCkPqmU85tEdROwu5fqhqXkReh+HlDgJXq+qdG5lFQz5kMY0q\nHwfcjImUv05EXgb8DGNpLGAE+ibfbmUd3dZBXuokX4d4PO5VovnTt4LBIMVikXA4XJbfohlMT097\nn/v6+rzCEAdHt+l8yM6ijcfj6zIl/HGo4eFhUqlUxUDf8PAwk5OT9Pb2rgkgRqNRT/m5LtqlboKT\nJ096DVdVdUPEQfViB1nIHjZLts8888wNzWureCCadSvUourcCEdyy4iD6kI5C7k2VPVbGA7vls2i\nLohIH/Bl4A2quiwiHwXeieEneCfwv4FX1Hs8m6fqclUrRtFdvq/LjGhV52SHY8eOebSdjggol8uV\n7aMXDofJ5XLs3r2bY8eOsbq6yqMe9SiOHTvmEQgtLS0xODjI2NgY09PTntW8tLRELpfz/pZeh/+h\n4qzzcDjMwMCA1yUlHo+TSqU8H/aDDz7oBT2dL31iYgIRobe313traKXbo8lKvY7GZsr2E5/4xLoz\nRLaCeL6eVkmVLGU/6VC11k/1sMxVO3+1uVcav3E0p5BbjboUsoiEMQJ7jap+BUBVp3zbPwF8w35t\nqaO7Vdavw/T09BrL13UMiUajLCwslG2pNDU1RX9//xpiHlX1goB+f3AgEGB5edmzVKemphgYGPCs\n6qWlJU8ZT01NISLrmpGWWlWzs7OICJlMZo0lHolEvAeHv7ovFotRKBS8YpHFxUWvDLsVFnSjLgsR\nGQL+EbgQo+ReAdwLfAE4CBwFXqiqCzY17kMYroskcKWq3rrhSVeeW9tke6s7f1Qr7Kg3WFfOXVHO\n91zvcVtJObqx37Nxl8VmoJ4sC8GkIt2tqu/3rfcTQvwB8Ev7+WvA5SIStc7uc4GftG7KzWFlZYX5\n+Xni8Ti9vb3E43EKhcKaHn2lXacdgsEgi4uLFY/tV1DO5QCUJRNyCj+ZTHosdDMzM1XnPjY2xujo\nqKdwHVyxi+NQdkUwLkgYiUS8ij9/muBG0EQeMhgF+++qeh7wWOBu4C3Ad1X1XOC79jvAszAycy7m\ntf+jG550BewU2W6UoH6zUM663TYE9Z6F7F/aM4taeCpwBXCHiNxm1/058GIRuQhj8RwF/huAqt4p\nhtHrLkwU+7XtiEInEgl6e3uZnZ2lr6+PRCJBIBAgn8+jqp5CrGSBT01NEY/HGRgYWONeOHny5Jps\nCzgVcHSf/R2iwQQCXTqcQ09Pj2f5gmGgcwRClR4MpaRIzqcstglqNBr18qtdRopTmq3gsHBokO1t\nEPh14EoAVc0CWRG5jFNdpD+D6SD9Zkzg7LO2GOQmERkS2526VfP3YVvKdjXyHz9q5RuXY3Grtl/p\n+d3nSi2hSo9b7djtV8qdYSHXk2XxQ6BcbW9FR7aqvht49wbm1TQmJycZGhry3AhjY2PMz8+vKXVO\nJBI1j5PNZhkZGfEUu4NTcn44WkzAo7v0c0YEAoGyPMv5fN4rIHHtoxrx9zpXh8thdjnaTslns1kv\nbVBVW5KZ0YQP+SxgBviUiDwWQyz0emCXT8lOAo48pFL1U8sV8naT7Upk8hs5XisU4WYo061sM2Ww\njXzI2wGTk5OeBZzL5bzWSz09PWte4cGUSVfjSgY84qBSJeZoLv2IRCKeYnVZEH6l5ZTxyZMn1zDK\nOev8/vvv9wJxIuKRztfr73WW9/y8YUdxdJvhcNjrhpLL5dbNuxk0Si6EkbHHA39sq/Y+xCn3hDum\nVgvsnu5oNDi3Ea7kRlEpd7mSQm20i8jWKeYgXYW8ASwsLHgZGMlk0svjdZkQmUzGU6Z79uxhYWGh\nbA6wHy4Q5jiFS10HmUymbL87/3EruRsWFxcJBAIsLCwQjUbXBAjPPfdcr/VSOp32uDccN4eqlrWw\nS1Fa7j0/P08gECCRSJR9kDSLBsmFjgPHVfVm+/1LGIU85VwR1mfrcg5bXv203dCI8qmU8VDrmPVU\n4ZWOq6Xoyynbets91UKrg4HrEaSVLgsReQGG1/tRwJNV9WfV9zDoeHKhUrjCDGelra6uUiwWve4Y\nqko8Hvfylx1qVefNz8+Tz+fp6+urWPyQSqWYn5/3LNFG4KgwI5FIWdeBqzT0l3q7Mu9cLlcz8FcO\nIyMjXg9BYF02RzNoNKinqpPAMRF5pF3lyIX8JEKl5EIvE4OnAEub5D/uODRbZtxsZ45Wnb8WWjW/\n0mPW87CoH85CbllQ75fAc4EfNLLTtrGQFxcXPS6IYrHoEQo5xaWq3mt5X1+fl81QqU9e6bELhQIn\nT55kZGSE4eHhNY1JwZRPu3Q5R9EJcOedd5JIJDh48KCn8CYmJjwXibOe+/v7SSQSHuG9m7cfPT09\nLCwseG2lXDFMb2/vhjIkarWJahRNzOWPgWtEJAIcwfTUCwDXicgrgQeBF9qx38KkvB3CpL39USvm\n3MnYSOFEM8qumrVZKWe4WmVepXzl0nO2Q9nXj9ZayKp6NzROrbttFPLQ0BDz8/OeonRBOhdwc90x\nwuFwWWVXDu6VfmVlhUQiwfj4+Lou0WCUek9PD1NTUxw8eHDNtpGRkXWZGo6RLpvNrslJ7u3tJZPJ\nkE6nyeVynDhxYp2Lw1nyJ06c8Bq0ukCfK9N2+7e6SKYeNFMYoqq3AeVcGs8oM1aB1zY3u+2JRpXV\nRlom1auM64Ff8darlCudc2ur8sqhM3zI28pl4ZRBMpn0lK9jbgOj8NxSC4uLix5LXCgUor+/n2Aw\nWNa1EQqFSKVSa8qhwWQ3uHV+q3F0dNQLqvlpOB0c4ZGIeEHEUuzbt49CobDG7+uuNRKJEAwGm3Kd\ntAJN5CF30SK0Uhl38jG2niGubB5yVT5kEfmOiPyyzHLZRmaxbTA6OsrMzMwaPgvnd3XEO+Uq7Urh\nWNii0Shzc3P09fURjUYrppy5TIVSy9mlxKXT6XXBvlgs5pHi+5FKpbxiFJdHXJqj7OBvI7WyskI2\nm/UyOFx6XWla3mZjJ5ELdRI2klfsR2cR9tQXLKw051al5dWDCg1DqvIhq+olrZ7HtlLIwBp/MRgu\n4UopbJUwNjbG3Nycx9CWSCTKWrInT54ETL7w6urqupLmgYEBr09daQaDy1cOh8MeOT2cysiYnJz0\n3CPlMjf8OHr0KIlEwiuVdiRFrjXV0tKSxybXJRfaWWhUIdXr/miVi6DUbVHu2I3Mo9r2zVTOHdJ0\nenu5LMAUO6htvwTUrYyXl5dZXl72shVcoM9Z1uUyEFzWRqWCCseB4dpMlcI1Gq1kUbp8aUeUXwkH\nDx5k9+7d5HI5UqkUkUiEQqHgWdhqG6GqastS2yqhGYL6LppDvQqotLVSoyTym41abHCNXOdmocmm\n0xUhIn8gIseBXwG+KSLX17PftlPIe/fu9ZSfP9uhFlyecmknj3Q6XdZvPDk5SSgU8twOpf5jB+fP\nLt2eTqe9DtPllOTu3bs9l0s+nyedTtfsw9fT0+Mp+d7eXpLJJICnzFXVCxpuJprxIYtIUER+LiLf\nsN/PEpGbbfeNL9gMDCxPxBfs+pstLeZpgVamcZVarX5stn92M8+5WXN3FrJ/2QhU9auq+jBVjarq\nLlWtq7vMtlPIYPJp680wmJubY3Z21nvlD4VCTE1NeZZyJaXuunWEQiEikciaQg4wrG3OOgXW+Yr3\n7NlDKpWiWCxWVLSxWIyenp41jG3V0N/fz+joqGcN9/T0eH7lZDLpZXZks9mqZEgbwQYs5NdjSIUc\n3ovpynEOsAC80q5/JbBg13/Ajjtt0KjFWK4SrtFquHLHrTXHVqPdlnKrLeRmsS0VciNQVS9feXFx\n0XN31OJ1cI1P3VL6AHD9+ZyfuJwF7azVSCTC0tLSuu2ODa5QKDA8POz5l6u5LwCvJZXYTtzuoeEU\n9Wa7Ehq1kEXkYcDvYCg4Hcva0zFVe2DIhX7ffr7Mfsduf4Y0mszZRUPYqIJthNGtU/vrtdpCbhbb\nLqhXL+bn5z0XRTAYJBwOr/EJZzKZivtOT097TVEdA1sp0uk04XCYcDjsBddK4T9nOQwNDbG8vLzG\n/+zmXQ0u+2JmZsZjdcvlcmuq+2qViTeLJrgsAD4I/A/ApbGMAouq6n40f+cNj1zItshZsuO3RxfY\nLcBGCYW2AuWCi/Wcux7FvRkWeqcE9XakQp6dnfU6ZTgL1vXbKxaL6ziKS3HGGWdw4sQJCoUCg4OD\nZbMgisWi56vt7e0tS2/p/NauHZO/SMTBfXfE+Y6tLZlMsry8XJWgf3x83MunLhaL9PT0EIlEamZt\nbBSNcFmIyHOAaVW9RUSetqkTOw2wUXdCqaJsZYuoegpB/N/r7VxS7pitRoW0ty3HjnNZLC8vUywW\nvUwER2uZSqVqWp5+voh9+/ZxxhlneIGzUjjXgPPllnMROP9uLBbzrNhKSKVSBAIBT7Hn8/mybaRK\n4Sxhl3FRab6tQhME9U8Ffk9EjgLXYlwVHwKGRMQZBH4CIY9cyG4fBOZaexXbE62yjDuHFL46tnKO\nXZdFi7GysuKlkBUKBY9gaHX11HPPX2hRDiLC5OQkPT09hEIhenp6KpISZTIZCoUCIsLhw4fLWt2O\nwa2eNlTxeNyrGnSWdSAQ8FjiquUXt5qrohYa8U+r6luBtwJYC/nPVPWlIvJF4PkYJV1KLvRyTCfn\n5wPf00o+n9MEjbzq13ucVinljRyjXkt5K9ApFvKOUcjZbNbzp8bjcRKJhKec67U2R0dHPVeB6wCd\nTCbLVvAdOHCg5vEaKViJRCJeY9NgMEgsFvOs+k6KabWwyembgWtF5F3AzzGtlLB/PycihzCGyuWt\nOFkXa1FNGTZDh7nd0fUhtxijo6NMT0/T12cYm0KhkNemSURqMr6trKx4mRWuNLvRDh6V4Hr3OSL7\nctbu0NAQs7OzXhBxdXWVeDxOJpMhl8uV9T+3AxtRyKr6fUyrJlT1CPDkMmPSwAuan+HOQ63qu2bp\nLVuhVOup+Ks1/60ska6EVitkEXkf8LtAFjgM/JGq1sxF3TEKGUww7ujRo+zatYtAIOD1uauVcbC4\nuMjy8jKTk5MMDg4SCoVIJBJr3B1+uL56rowbTE5xOaWfTCY9Ze9yoSthbGyM6elp0uk0wWCQZDLp\n9cjL5/PMz89vuXuiHLrVeVuPZoNcjfqdG1HezRDpVztvO5XyJrgsbgDeajOF3otx27251k47Lqh3\n8OBBVldXPX9yLWXsOo/k83mvY7NLiSttKurg0uhCoVDNfGY3D39u8MLCQsXxZ5xxhmeFumCgIxRy\nPuV2osmu0120AI2WRG916thGz9nOHOVNqNT7ti+t8yZM4LomdpxCBpMOls/nq1qjDq77iOMeBuPu\nqOa3dRkcLrBXjUA+kUh4xSiukKSWEnPHcmT8IuIp53L5zluNLpdF+9DuV/udigqVelXpNxvAK4B/\nq2fgjnJZ+FFvabVTwo4EyAUBK1nHgGeBu8yKQCBQtnjEHd8Vazi/dDAYZHFxsaL1XiwWPf4M12PP\n+cSdG6ZdaGFQr4sm0Sqei81Cu90PzaCCD7kq/aaIfAcol0L1NlX9Vzvmbfbw19Qzjx1pIdeLEydO\nEIlEPOvVWZ/V3BCOkjMej3sZEdUsxfHxce/4zmKvpdR2797tWd/OVeEIiDpBGTbishCR/SJyo4jc\nJSJ3isjr7foREblBRO63f4ftehGRD1tyodtF5PFbcEk7Ds28/je6TzNKt1MVtQqk4muXmvuoXqKq\nF5ZZnDK+EngO8NJ6UzdPW4U8NzfnuSac+yEWixGJRKqWVTtujHQ67fFJ1Pqti8Wi1yPPfa+lyPbt\n2+c9IPL5PJlMhv3797elbZMfTZAL5YGrVPV84CnAa0XkfEzn6e+q6rnAd+13gGcB59rl1cBHN+M6\ndjI6lS/CoVImRluVtWup5182ABG5FEMX8HuqWne11mmpkGdmZjzKzHw+T6FQ8BSxywGuhL6+Po/9\nzbkVHI9EJbh+f6urq171XiUXhx+u354j0u8UNNh1ekJVb7WfVzCMb/tYSyJUSi70WTW4CVPRV9l/\n1MUadLoydmhtx+gWoOVNp/l7DHfLDSJym4h8rJ6ddqwPuRqcVef4iF2HaEcWVK0lkivUiEajHu+E\n8w9XgrO+4ZS/OZPJsLS0VLPlVCOcz1uBCi2capELAWC5jR8H3AzsUlXXUHAScGWUHrmQhSMeKt98\nsIuGsFXKrx4/ckcoYofWNp3G0sc2jNNSIe/atYuTJ096wbJgMOhxTdTDBeG4MvxMb+XIhRwcPabz\nU+dyOY97YjuijFVcNfgBICJ9wJeBN6jqsv8BpqoqIqd1eXSr0GgH6y4sOqPp9OnpsgDTecQR3bvu\n07FYrKpFOjs7S7FYJBqNeoUhrgVUNezZs8dzaziODBesq5aT3IloJg9ZRMIYZXyNqn7Frp5yrgj7\nd9qu98iFLPzEQ13UAeePbSRvuVklvhnHbAvKNp3eetRUyKdDlHx0dJSRkZGabHCOEN4pV2dZu23V\nUKq4nLXcCXnFjaKRoJ4ll/8kcLeqvt+3yZEIwXpyoZdZOXoKsORzbbQUp4Nstz1Ytl3Q4qBes6jH\nQj5touS1/Llwyv/sby5aT9aEq+wDvHZLkUik43zEtdAk/eYVwNNtcOM2EXk28B7gt0TkfuAS+x3g\nW8AR4BDwCeC/b8qFGJw2st0OpbytHgStD+o1hZo+ZGudTNjPKyLij5I/zQ77DIY05s34ouTATSIy\nJCJ7NsvK2Uq4og5/A9NCocDq6uq6nnul6AQOilahQfrNHwKVXh+eUWa8Aq9tbmaNoSvbrcG2UryV\n0OKgXrNoKKjXyii5LUNsthSxLajFp3w6YKdW6m2WbJ955pmbNudWYkco1Y1guwX1SqPk/m3WYmgo\nSq6qH1fVJ9aKznfRedhpXBabKdvbzSV12mIb+ZC7UfIuPOw0treubHcBtNyHLCLvtIHf20Tk2yKy\nt5796smy6NgoeRftwU5RyF3Z7sJD69Pe3qeqj1HVi4BvAP+r3mnUgouS3yEit9l1f46Jil8nIq8E\nHgReaLd9C3g2JkqeBP6o7kvoouNRoVKvKmxd/4cwdsg/qup7auyyVejKdhcGAVpdqed3ffVSp9ur\nniyLjo2Sd9EeNGIVi0gQ+AjwW5gg2E9F5GuqetcmTa9udGW7Cw/OQl6LuigBKkFE3g28DFgCfrPe\naXTRRd1owkJ+MnDI9tBDRK7FpI+1XSF30YWH8hbyhviQVfVtwNtE5K3A64C/qDUN6YQO6yIyg3k1\nrIQxYHaLplMvduqcDqhqxdQAEfl3ex4/YkDa992zJETk+cClqvoq+/0K4GJVfd0G57kt0JXtlmFT\nZbuCXM+q6qUbPCcicibwLVW9sNbYjrCQqykAABH5Waelx52uc2qFgJ5O6Mp2a7DZc2q1XIvIuap6\nv/16GXBPPft1hELuYkejmyrWxemI94jIIzHt+h4EXlPPTl2F3MVm46fAuSJyFkYRXw68pL1T6qKL\nzYWqPq+Z/baLQq47srmF6M6pDqhqXkReB1yPSXu7WlXvbPO0Ogkd9z+jO6e2oSOCevXCkpifq6qH\nNnCMtwPnqOoftmxilc/1NOCfVPVhFbavAo9xGQidABG5E3itqn6/3XPZydhKOWwVxDTtfJWq/lqZ\nbWdiMmcGVbVjqoU68R6rhi0nqBeRl4jIz0RkVUQmROTfRGTdP7gTICKfFpF3bdbxVbWvXkERERWR\nptrCNDinC5wyFpG3i8g/bfY5dyJE5EoRuUNEkiIyKSIfFZGhds9rs6CqD1l5rqmMReSgledNf0P3\n32ObfT+3AluqkEXkT4EPAn+FYdA6E/gHTBSyiy52BETkKuC9wJuAQQzX8gFMw8vIFs5ju7gku3BQ\n2315sxeMYK4CLyizbT9wI4aYPGmXCQxB+XeA+4EbMOWH52Cqqz4CLABZYAX4IRDH8NgeLzn+UeAS\n+/ntGDeC2/ZFDMXiEvAD4AI7n3vs+YpABvi63XcCWMSQm08Cf2KP81bgsD3OCub17U2lcymZl2Je\nWwE+ba/pm3b/m4GH220/sGMLdjkG/CXwHHuePJAC/h2I+K75Njv3vJ1/zG4bw9TXLwLzwH8AAf9v\nBVxqf9uc/b/9AngBcEvJNfwp8K9bJUedvgAD9vd6oU+u78J0214FXoGpCTts/8+T9u+twGOBD2NK\nsycwpEYrwL3AM+zxAxjC/MPAHHAdMGK3HbRy8krgISs3/wa8ruReW7UydCfwbsy9lbL/ayc3zwZG\nMfwdabvMAr+scN3u3CH7/fvAO4H/tNfwbWDMbnvIjl21y28AP7HrM3Yu1wO/Zu+DQ3b8azG6YNH+\nPWS3/wbwfzH33izwhdJ7DEOHmrMyvWrvhzcBXy65jg8DH2qb/GyhoF6KUQyhMtv2AI8HngA8HbgP\noxTmgK/bMW/x/bjPxqSSfB/4XftP+VUgSuMK+RWYdt1RjPV+m28+nwb+xs7nfIwSPI4hCokAZ2Me\nIv8Vo7DeZwXrAYxF9MvSuZTMq1Qhz2Eq20LANcC1JWMfYz+HgTswyvQ7wIsxJDgrwB/bMXOYG3ov\n5gZdBl5jt/018DF7nDDwXzgVT6j2W0XtOR/lW/dz4HntEuBOW/xy7uTIru/HKIxvWpn6DkZB/JOV\nmz/DKOd/Bx4JTAG32n0Pcurh/HrgJkz6YBT4P8DnfeMU+CyGPyGOKd39T9/8ft3KSRTzlpoD3ga8\nA3g/RqGdb8dea+dzB4YrehKjLINlrtud26+QDwOPsPP4PvCeCmMFeBFGwT4acz9/zM7lcp/83wEM\n2fmm7G99OUYXvA3zsIoBv1blHntXid5JAEP2ewhzzzyhXfKzlS6LUUzly7omcqo6oaq3quotqvo9\njDUhGGswaId9xrfLZZgf8/Wq+nXMP+kBVc00OilVvVpVV+y+b8dYKUlVvdUOydr57MMot15VfYeq\nZtX4pj4B/DeM8D4Po6zvs2M/3OB0vqqqP7G/0TXARSXbXUvsMKZk86t2zBdV9TMYZXmFHdMD/IOq\nnsT8diHf8XKY3++AquZU9T/USmQ12N/oC8AfAojIBZib6xsNXudOxhhWzp1cg+lIglGyuzHyextw\nC8ZK+z2MMuzHKNsCRv7HRWS/qh5V1cP2+K/BlOYe98ns80vcE29X1YSqprAyIiIH7LbfxshLBmO8\nLGOMiCJwEkNF+gLLQfI8jHX/z6r6c+BqjKX85Dp/i0+p6n12HtexXp6xv40CV2IMhcMY+f40Rmf8\nxDc0qaqLmIfKj+zxvoR5sBwA9qpqWg1HSU2oYer7AebND4yCn1XVW+q8vpZjKxXyHIaso6JfS0Qe\nISLfxbyKfxkYxwgpmKezw1mYf5oTUte5oSGISFBE3iMih0VkGWMdwtoSykFOdZIYAoZEpCAiGRFZ\nwrCDjWFeAffav24+1Upmy8F/jUnWV9cHLCvZNOZGejEwDMyKyCJwBkbRgnmQ3QMm9QxzI43abe/D\nWCPfFpEjIvIW6sdngJdY6sorgOuaeRDuYMxSRs5tR5K9mDeqXZxyG0xiOpQUMQ/KoposojdgZP9O\nEbnWx6d7APiqiCza//ndGAXub2fjdTWxD4JvYixJMDJzjf18EcZ98kXMG+jfAK+yY8/BPMR7fMd7\nEONSqPdeqyXPfhzApLYlMG+j12OsWz9XxLD9uw+jT/qsbE9iLOOfiGlW+4o65wdGnl2myx8Cn2tg\n35ZjKxXyjzH/zN+vMubjGB/uFao6gFEiAt5T1CFrl4eXOUYCI0SAxzZWqXz1JRhr5RKM4j3odrN/\ng3ybJfkAACAASURBVMDzOdVJ4lMYRRYG/hbjf+rnlIU4wdqqtFb37ymq4Vd9GEYA/wnzZjCkqkOY\n18OlWgexbwRXqerZGOvsT0VkHbsZZSgDVfUmzG//XzC/X1sFuAPh5Py5boXtSPJVjOK83jd2v5Vr\nFRH3uj0LoKr/jLGgfxfzf3iv3ecY8Cz3P7dLTFX91Y+l/7fPAy8WkV+x57jRzulFwO1Wdg5wyoX1\nFYyCzrNWibZKnsu9jR3DuFeGMb/h7wBHVPVHdRyvAPypqu7FvK3+Q4WMpHLn/RfgMSJyIcYQvKbM\nmC3DlilkVV3CvM5/RER+X0R6RCQsIs8Skb8R07nhcRif5OdF5DyMQgyD17nB4QTGif9+azk8DNgt\nIlGMuyAmIr9jj/k/Mf6ycujH3DxzGCX+V26D3fepwISe6iRxPcb/9iaMn+7J9h8JRhFfhwnuHcQo\nrT9u4qeqhCmMzxr72vZ1TOBoTERCItJrvzurpIB9EFlrLWavFRF5joicY63cJTu2HIXbFHDQKgs/\nPgv8PZCr9/XwdIGV878E/k5ELhWROMZCjWLe6D6H+V37gCdYa24aYxHngGUReaSIPB0jUw9g/KXu\n//Mx4N3OBSEi4yJSK0vpWxiF+w6MyymIeQP9BOaN7wqMuyuAieN8D3gSRjE/GjhbTDful9vr2Gjp\n+4y9nrN96z6GuXf2YQKhvwmcUfKm4WT7BMZH7mR7HCPfYAL9LhhfCu8eclDVNMbt8c/AT1T1oaav\nqhXYaqc18FLgZxhLdhIjrL+Kucm/iHnNXsVE/n8EHLX7+YN6v4NRjh/ECHMe4wuK27FXcipK/WdU\nCFRhbop/xSjZBzFPaHeOz2L8WLdhorr/gnEH7MVYHMsYpXsTJmj2C4xL4ysYBddMloU/4PA0/76c\nCvos2t/wPzAPuHn7W05gbvg32vH+gOjlmIi6u+432t8kgXGv/P++8/h/q1FM9soCNsBk15+JEfi/\n3Gr52S6LlYlfWtlMYIJvw3bb+zBBvS9ZucliDJE/wWRFPMb+vwr2//sNjH8UjNL8U0zmxYr9n/+V\n3XYQX7CsZD6ftNueZGX7g3b9IzH34Jxdvmfndy1G0X3fzuOnwN9h3lrrDeq9yrf9SuCHvu/vwCjm\nRYzvdgjjAnO/2QzmYeQP6v2F/fxae/3vsrJ9D0ZJr9rf49UV7rFz8d3PvjG/Zsf9Udvlpt0TKPlB\nbrc/mD/t5ruYFJfvcCq9x6W9HcZEXp+4RfP5nD3f7Zh0oD2+fd5m53Mv5pWy1b/RYzA37e1WaP+X\nXX82JvBxCPNAi9r1Mfv9kN1+dgvnEscog3PbLTudvHSaXNeY02kr2xgDIwkMtFtmtlXpdBedAVvg\n8xxVfXq759JFFxuBdce9H6OMGwkGbgq6lTxdNAQROYqx5KoFZ7voouNh4y5TGHdlR/B8dy3kLrro\noosOwZaTC3XRRRdddFEeHemyCPX0amh4hEAWpAgaBARUQApQtElsgYzZFshDMWQ+h1cUKSqZoQCB\nvNnfbZOiPV4AghkoRCA6l6UYC5OPCYECFGzyTHhZKcRNOnIxDBQhUDDHkjyEUkogVyA7ZH/CIhQj\nEMiZ4wfy5vjhhNlfg2b+oZTZriEohIEAhBJm32LIXF8gZ7b7vyN2secJryr5HiGUUvIxIZwokh0M\nEMiY7VKEUELJ9wpi+bc0aH+vrJlLMWwPm4dgRinEBLF1lIWo2ZY5cXxWa7Qh6qJ+rJFtNbIA5m9Z\n2c6dkp/oQgFUSY+GCBTs+CqyfeHeXdx73yT5eHnZVkDD5jjuPnGyLUCu16bjl8p2wchuZFUphAUN\nGXkKJ5RiSDYu2wklHxdCSfM3vFIgOxz0rkuKZo75eH2yHUrbsVa2i1HILcxTSCQqdRxvGzpSIYcH\nRtj3J2+k95jQM1skupgn1xck2xtg5olKfDJAdEEZvTtNajzC5MUBBg9BvkcI5GDPt6c48axdjNyT\n5cRvhAklxShVUQYPwfyFEJ8SwitKZEVJjQXI9Zl/dGZY6XtIGLsjxZHnRhm8T4jNK1MXQ2wmQHZQ\nCeQgNisUIxCdV8JJZeFRwsBhyPdAcg/0H4X5C5Xe4wGkCNkhkBwMHS4y+1ghOi8k9xYJrQoDR2D1\nTCGUgp4JZfpXCpz95QK5viDHnx4gvCpEloRQAkbvSpPrDTH9hBCFmNJ/FFb3Q98xWLigSM+JINlB\nZeABc2OuHBDi08rQoSwTvxqlEFFic0L/8QJTTwoQSgihtBHc3okimUFBA0JsscjsY4Qjb76q0WrD\nLqpgjWzPFIjN50mPGoNg5glGtmPzyvB9GVJjYaaeHLByJQSzsOfGOU5cMrpetoGBI8rC+RCfNrId\nSChnPTVAvhdQn2zfnuTI82LlZTtvZTsE8VklnCgy92hzf+V6ILlHGDiizD9G6TmxVrbH7swzeXFw\njWwPHjYyGEpCz5Qy/ZQCD78uT64/xLFLjGyHl4XwKozck6EYDjB5cdjI9gOwemZ52Q5kzT0Tn1YG\nHswz9aSwJ9t9J4tMP0EIJc09JQXoO2FkuxgUYgtFbvu/H2yrHFRCR7osQmnl4NeTrDy8yMxFQiEa\nYPYxQXK9EEoZRZgZFlJjEQoRYfAQLJ2r9EwWCa8o+dE+NAihRJ6h+6AQV2Kz5sm5uk+Izgl9x4vs\nunGKxUcECK8q0QWlZ1Ip9BdZPVM5+rtGYJO7hXCyyK6fwNChAsHsKYtFCrByFmSGhEIM0mNCMSRI\n3liugbyQHlOCaSU+qYTSsLo3gApElpVg2jygc/3Cwa/Okx1QVg4Io7cEOf6bESafEkSsiz8+rez5\nwr1MPz5GdiBAZAmG7oHkLiGUMA+i/gcM7Ud4RUjsESIrRXqPK7v+5TAP/XbE/Cb2Bk6OB5AChJJG\nuNNnKPG5PLl+oW+yQHrI3IRdtBahtPLwaxeNbD8uQK4/yPz5AXI99n8ThfSokBkOUwybh/zyOUqv\nlW3yBTQI8cNzDN7vk+2AkthrHvT9x4rs/vYJls4JEFlRIotK74RPtn8vvla2bzaGQjBrrFdncS89\nHFJjAQoxSI0LxbAQyEM4pUjByHYopfRMKMEMLJ0VWifb2QHh7M8cJzuorJwpnPHjIMcuiTLxK1a2\n1cj27k//gpnHRkkPB4ksweB9kNxtlKrk18t21Mr2+K2rHH966JRshyA1aiznUMK8aaTHlehCnuyg\nMHAsT3o4QLBDi/07MqjXO7pfz3/OG5m/wAhGvr/IwP1BMkP21SSgSFHQgBLMCPEZZeUsKAZh5E6j\nIJ2rY/VAkWBaOPP6DCd/NYaGIDto1gXyxlJeOatIKBHg7OvmyOzqY/bRUVbOLtJ7zPzjNAQjd2UJ\npQscuSxKMC3kRgr0HQ4x/ossJ349TDEMoYRAACuUkDpDGbkTlg8K2aEio78QYy2kILW7SGGgQHg2\nRHxaCGQhtlAkHzNzn31CkbGfBShEzcMnPV4kNhtg8EiR2UcL0UUhPa7sutnc2KGEkBlWRKFnQhh4\nME+uJ8DiIwKkd+XpPxwilFTis0WmnxQAhX0/yDN5sXlJiiwKif1Fek4EwN5UUoCff+KqW7TDOhBv\nZ/SO7tcLnv0G5h5t/s/5Pivbw7Vle/R289CXQhnZfmoMDZbI9rSwcrBIKCkc/Poquf7IGtkOpY1x\nMXxPjvBqniN/sFa2R+4xFm8xAqFVK9sBJbIonmyvHBQyw0V23wTz5wXKy3bGyrZ1Mcw+scj4TwLk\n45AdElJnWNk+XGD2MQEiS0JmbK1sZ4cVrGyP3Z4msSeyRraDKeiZKXiyfda/JnnoUsOgEF0QVs8s\n0ns8gAYhsqjc++UPkJw51nEui460kAF6pnPs/16OYkQJL5undP9Dyv4bkgwcgWAaAgUhO1xk8ZHm\nodL/gBBdKhpLOqkk9yixafMPXToYtX4yZfePlVBKyA0omSHY859KdqzAwmOHEVXyvRCdCxBOmGNE\n55XpJ0Q49owYPRMB8oNFJCsEMzD1xAjDdxtFOHpXwd5QxserQWXmCUqhR4nOBcgOCr0TSr4HIosB\nJBMgvGIUaXKPkh4KsHyWsbxjk0FW9wuJh1n/Xd5YCr0n0gzfq4QS5sZYPjNIdM5Y6KO/VEKrQmqX\nMnd+iFyvkBkpct6b7+Zh35ph6Vxl6eyg8fctC6u7Q4zcqYRXjYVdjBZJ7vt/7L1nkKbZdd/3u/d5\nnjfnznlCz+zO7s7uzuYEAuBCJCiAAEUJgiRSJduqkj+wLBcpW5ZK3+wqWZGkSnLZokwVaRdNSaQo\nAAJAgAQRFtgcZyfnTjMd3xyfdK8/nHe6p3cXYNCCaFB7v8x0mJ63u3/Pveee8z//Yxh70yfRsvTH\nDhyvfyZWZjNk9htDtttDtpcthz7X/J5sO4EdRtJDtjeHbB9ODvPJ72C7OGR7xNA8lkUHMWFuyHZH\nvkaiYdk+5bH651Jkbu2xrQPYOekyclZ4vs22DhXOAKxr2X7EEmaF7e6kJnvru7A9bfFLitZhyUGn\nNhza88J2nNxjO3+9Q/mSpBG9pqI955DaEbYrd7C9/mRql+1DX7BMvtSjdczssd1W1O/OUDkvbKtI\n2O7OGkZPByQ6Fnsgk7UHNIdsXDCeZushl/J5S1BQtI/GhFmH/mgGHUqBIr0JxlVk1hWtRUOYVzg3\nDE7o4JcVJmHAKiZf9FEWutNJ4hR0ZhyijN2NNHrjmvSaItGKuPmh1G5UEnUU6S0IilKk020lAA0U\nibqmdCXECQxY6Mwmqd3l7BYxorQCC/klRXfW4PiKOAGlaxFR2sMvAQZSO5b+hMJrwdhbXTaTWZqL\n4LXle/TasvE7vkQNt57JYB2I0haUJSjA/O/5BEWXzFqXMFOg9lBMou7iBDDxMtQ/fS9bT1hKZxWN\nE4ax1xW9CclLFpcCjOdRPakoXnAxHqx9LEFqSzFy/l1OqR+s/8JlXTBJzeYjHuVzlqCoaC/GhHlN\nf6y4y3ZmQwpkmVuK1jFhe+ytPu35LH5ZEScNoJh6wUf7Mb3JjLA9LWwzvCH2xvbYXvvRDKkd6Byy\nRB1FalvYVrEc0HHqDravRbj9WG579f1smyRg1bvYHj3jE2VSwnasyGxYujMKrw2jp7vEqSztQ3ew\n3ZHN/Tbbax8rCtsZyWVEOVj4Uo/+ZIpEMyJOJNh5VNjWIUy8BEHBYfmTmvIZRf0ew9hrit6UFCTL\nF3sYN73LtnVh7aMe6S1JKR7EdTAjZA1BXqMsdOYU6W3D6OuaYCRGxxDmoHLB4AQSJfYmLWOvS2TR\nPOIRpSFKg9OXCK89l6BxNIGOYOpFQ5iX65zb0cz9fpf+uBQV3F6MDmWjipOWwZhs2smGZeRcSGbT\n4nXl66oYehMunekEt34kSVC2mKQVBYWWf3M7Uk5vaKIMRFlozbsEBcndem1NUJL/O3crZv2ZLFEa\n4qSlN22Y+Vaf9LZl6ps1ohQsfGlAfsUwGDWg5PqWbCg2Hk+RP7NFVEjSmQO35eBXLL0JRWda05vQ\nZNYcWovyWrDyQBgPVj+WYPNpw8jbljgNQcmS3pBKef3YgTyvf6iX1eAXHJSRolR2Q1JTQcWgY2Gk\nct6gA0kj9aYsEy8L29unssJRWvKlIGzX7kmjYph+PibMQ2pb4bU1c3/Qoz+hSLQg0Qx3N/tdtg2k\nqpbRMyHp7XewPebQm/BYf0bYjlNWlE76tpJJIvVdtnNQPZEiKA7Z7igGo8J2fm3IdmqP7Yv/68+T\n2bBMf3WLOAlHf7NBYXnINsJ2oqm49aEsua+exSpoHQa3LWz3xxWdGU17TpO+6dA8NmQbibpNApZ+\nMsPm04bR05Y4JUXNzLqwHaUO5u3vQG7IKoKtxyAoSN4oux5iFYy/qAizkF+1DMqKoKDIbFpGzlqa\ni5rylRC/DOVLBmUgtwxhQSLQ9mGY/8I2/RFNfy4ktxaT3oT+ZIpD//Ic7aOGjceThHm7K0VK7Sjc\ngaV1RFG7y6M7LQUx48Jg3GCV5PSmXghIryucviLRBCyk6jFxyhJmFNaB7E1L4YalMy958aBscXqK\nZM0SpaCx6OC1rBQ0rsrnbD2Sxiq48RcrBGXD9oNp3IGlfE4x/oah8VBAsm5JNiy1xyep3psiylpm\nvhEx8Zoh0bQUl2JGT/uEeUv2pibKCpzzX2mTrFt0oPAaDtmNkNyqPAzGhSgFfuVgRhE/zOtOtpWB\n9PZ+tnNrQ7aLwvboGUv97iHbFShf3M92b0LRPgLzn9uiN+LQnw8p3ojJbFgGowkO/79rtI4Z1p9O\nExasSEgZst2ztI4qand79KYkyjUuDCbkwO9OaiZfDEhvSHEt0ZTnMdk0xCmRW1otbBevGLpzEpm/\nk+36MYdEw5JoQ+mSsH3y7/wSxoHrf20cv2LY+FAZr2son1OMvbnHdqJpaX3iJPW7k0RZy/xXAyZf\niUk0LeWrEWNv+kS5/WwvfKG+j+3cqk9+VW7Ldsj2QU1ZHMgN2SQgf10KBGhYfzJJlFW0jmjmv9RE\nGUuyafErokpoHtF4Ldh4wmX8zZD1DxvitJyiXlvhlyzpLcWVvzFKmFEsfA62H9KYBGw8oTFHZ7Gu\nJcpZjv6HJjqC/JImTkDrqJz4/QmLX7bklw3FK+AMFF7fogNJm4R5+SW3FmVTq97jgrKEuaE20pWK\nc7KqqFyMCSox42+GtBfAHx2+3klFd8bil+XaqH1AyUNqNfSmLDc/JodAY9EheyVB425L/aTBCS1+\nWfJx6Ztt6sccaqdigqxm87EkcdJSWIoZfdtSu8+y+bj4/ueXLKltRfWeJGFGMfFKTFC2RNm9g+mD\n9f6tO9k2Lqw/kSTKKFqHNTPf7gvbLYs/Imw3jmq8trA9+XLA+kcMUcYyGFO7Odr0puLKfztGlFVM\nPOew+ZgmTinWn3L43ev/HOtawrzl2L++uZ/txf1sF28YSpclSnb7FmcgrznMCb/NY3JAN486u2zf\n/hy/pEntKBa+WCeoxEy+7NM+tMd2b0rRnbYMRhXJmrCt7B7b3WnL6sclqm4edcheFrYb9xn0HWwn\nXrpI7S6X2qmYQclh4wlhu3IhZOxNQ+0+y8bTZZSBwg1he/tUmiCrmP9Kl8HIkO0fzK//D10H9pHL\nbBvmf7dHnJBIIiggm+4zRfyCxutJNdkZQH86pjdjiJPQHXfRA03mplSx/YohWVcERYizhu68YfMx\nEW6aBJTPw7W/XKB40SF/HXYeKmKcYZSYsxjPMv1PXmDxN5uiLb5HNnKTsGw9Kjm42t0e/oghzIrU\nLSxKFOP0RVPq9iSSaR0xFJZj2jMObsuhdsIjVVOUzit0oJj9Rp84ZemPWyZfDSjeCAHJR6c3NMmG\novKWxmroHIkYjFjy1zRuS7PxpCJZg8xNxconKxRvGLyGg9eTB3jxN9rc+rBi83HI3tToQJpGxp7f\nIsrKVbY3qbj1IYfsGoy/ZshsHMxr3Q/7ymwZDn2+hbnNdhG8DuycTOMXNMl6jNOX2kF/OqY3LWx3\npj30QJNbRXTF72C7s2BoHJNH2rhQvgBH/+kvUrgkbG8+O/Muts/9o5/n2L/ZILesqN0jG7VJWLYf\nltdVvTexx3YobFs1ZLsqmvzujKJ11JC7aVj/kTJuy2H7wSSJhqJyRtiefCnYZfvQv71GcSnEOJI6\n2GX7jTvYHrUUrijclmb9GUWyCtk1xcrffoDCkrCdaAvbR/5jn5WPO2w8pcje1Di+3EzHvnJ9H9s3\nfipDbhUmXjHSkHIA18HckC2EacVgPEl6WxHlROeoo6HcZ95SPeHi9iF3y1C84JCsarI3Fc1jgIKw\ncLtzT8spbkBFitySxriik+wcC6mfELlalIbBmKJytkNQEoF8MBJTvKS4/o+fpPpgkSit8Cci0lWL\nCqVoZzyYeLVPelOTX5LiSKKhqVyKMElLewF60/IAZNc0tXsdOocMcVZy2a27IvrjInCv3pNChwrr\nWXrjLhtPukQpRfF6hNeByRf7NI9C72hAasOlchb8MsQpi9NX+BXozlpGzkVsPioHUnfKIbcCK58o\nMv4yeE3J+QUlRfOYYevD4+SXLJlNS1CSPGGYU3SmHRz/oMYRP8TLyibUn86Sus32YNiR5wrb2w96\nuH3I3jKUzmmSO5rc6h7bfkntsu0OretVrMjf0CKXGyg6x0Mad0su97ZGfvSN1j62S+cVR//ZL1J9\nalL0z5MRyeaQbYTtqe+038X2yPkh24egPyk3y9yqpn633mU7ykFnMaI7LdK91oK3y3b12cNsPOFi\nElC6GuJ1YOYbbZrH99gefcviV9Qe2yPQmbOMno3YfljY7sw45Jdh7UezjL+yx7Y/omjeZdj85BHy\nS5bsTbPHdlbRmdnT9x+0dSA3ZNeHoKiI0iKYdwYidwnzolLIrSoRxFctjUUtLZxJ6I9ZRs5YVASF\nGwavDck6+COWsGCY/bqRaCJlmf9qB+Vrilekqms8Sfpf/StZknXJl5XOurSOQJw29CYUheWY5JbD\n9oMKk5Lf6KHP1WkcSxFlLLl16eM0nsUvOGhfkd5SZG6JQD0sSIU50dA4HQ0G3KZDlJVqdP2hCB1K\nnrE9J11MTmBZe1bTH7es/HiKRFOhOy5uF6oPWpINmP62JdFSRGlL9pZi4wmHZF0aVPzKUPGhoHVo\n7wHuTximnof2AnRmpUsstaMYf9VIHnFU8t0frPd3Ob7oyqO0bB7OQNGflOt/+XK4y3Zmw9A6ovG6\nwwhvwlI5J2yXr8R4HUjW5PcUFgwLX47kcE5b5n6/i/I1hasQZi3GlXrAlb+eJ1VVJOvCdvMYxClD\nb3KP7erJIdsKZr49oHZfjihjyW4N6wueJcjpXbaza5KSC4rfhe2MpCtqj0bSLh5Be17vNjOt/jmH\n/rjlxqdzJBp7bG8/AokmzH0tJtGSjTl7S9IwicaQ7TKEGdFHtxa+O9tbj0nOfOIVg/FknzCJHywH\n320dyA1ZRZIfrt4rcA4mYhJ1RZiz1E64WA3BiKE/rhg9E1O/W0CsnLfDfnZFe0G6lHpTosPEyi/T\neJDe0lz7Sxkqb8m3f/xfLssv8YWYwlVNb8pQfdjQmbVExZjKaUlTbD8k7aVhJaZyWgoEOw+VaB+S\n1739gEuYk9cQpZBoZlgRTjRFIB8npFKd2VD44/GuKmP2mwOchosyUD4v33fnUETzmOQcg5EYHSkm\nX/bJX9MMxiQS6s5Yth90GIxYciuS2hl7Uw4YrwsjZ2LSVUOYt7ueH6UrZuiTIK2m/oihdEHRnzD0\nRzUmCU4gOcoP1vu79JDtnZPvYDtvqd4rBgzBiKE7oxk9E1E/MWT7gkWHUqhqHpEiWW96j+21j3oY\nV1qgr/90msqboqZZ/N/epj9pmHzJULiq6U5bdh7dz3achK2H38G2huah5C7bOycdKXg7coOCIdsT\nSjbSO9leF7ZvqzJmbrNtYewNOWC6CxHNRclnByMxKlZMvTSgcHXIdl/Y3nzMYzBiya4K2+Ovm122\nK+djMtv72S5eE7YTrZhUTdgunxe2e2PyHDvBngfGQVsHckMOs3L63u5+O/5rXQYThkRDEWWGJiI9\nTZiFrYekn37uayHNRU3jmGb62xFey2IVZG4p0msO+WXxjJh6MRzKcjT51ZDWIqz8tUPoQNE46tKd\nExgKFx10DF7dYfzbWwRFQ2pbMf4qjLzq4PVFEN+ZV1TOWUl5LATEaUtQjulNSreV1xaBv+NLL/9g\nzBCUDVEG0jcdMusKZWH9iZRcJYuW2kmpFuduuCLyz8mVtHTJsPSTHjq0GNdSuAYjZyzpzWH785jk\nkav3KUpXDMm6pbHo0DyiKZ+XFlLrQvOo5q5/tcn609L+mtrRNO4zHPvNLlFGEWUsUy/4JBo/aBL+\n7K19bHcUx/6f3j62zZDtKANbDzl7bB+VdNfs1wO8lgUtOdXMqkNuRdie/raP1xG2C8sBrUVY+7kH\nZBM/7AjbAyhekK/r1R3GXmvssj3xMoy+4pBsGZI1TWdOMflSJGzPC9thSQIh60jThV8xuAPI3trP\ndmbtDraf3GN761G5keZuuLgDUZaoWDH2VsyNTyXQwR7bo29bUltyqxiMKVJV2H5AM3IuJlmTJqfG\noqZ0YY/t1mHN4r/rsfoxZ5ft+knDkf/kC9tZy/S3Bx9syH+cpQz0xyDRUgwmDNWTeWb/QHSaiYYY\n+KhYrkjpLcknrT+VICgZciuW9addrKsIc4retFSYE01Ldj1m56S36xq39lGPyZelaDLzXEz7eERu\nBeZ/b4A7EAnPzHMRS5+ZIFmTiMMvacK8wi8qBuMiL9p6THJ1ADYfQcJgXYuKJFXgtSX1YB2onFGY\npGHsdEhmQ66GXksxeibC7UgeMLmjya5KX77Tl0gku+LQOKYZf1WUH6ltTbJl2X5IMf5am9JlaRbp\nTVtKlyzdSU2clFvFYC6kPa8YOW3xWnIwXPtvJknWNDPfEn3q+EsK++oZ2kcjjv/SDRqLCdQBbKv/\nYV/vZLt+T44jvz1AR3JFv5Pt1M6Q7ScT+GVDbtly8yOJXba7s5agILLH9I5h+1RSZG1G9OWH/1OH\n3qShfB7axyPyS3D4d1q4PdHXj71pWP7JMsmaBDW9Mekm7Y1pBuMx6S3L2rPOPrZtMsZ4Q7aRQ8Xx\n5UY28TKYhGH+SzUyG6Ke8FqK0bMRXnuP7dxttgd7bO/c7zDxMjSPCdvpmhgETbzYpHzREqUt3Rm5\nBbfmHeLUHtuduf1sL30yS7Kqmf16gA5h8jsK6yraRyMWf6NB/fh3m3n8g18HckPW4VBLHMP4KwwV\nCzHpbYn6knXJmQZlS1AUAb3blc0uORStxwmYeqGD05frV+uoYvuUS39cutvipCVVU2zf7zLxEmw8\n5uA2HPJrMWvPphlUFF5XMag4+GOG9JalfSwedgRCnFQULjskG5Y4F6MMjD3n4W14pJcTlC5bolJM\n9qakFvqjiuqpmERXNrlbz7jU77X0JyxuH8KcZjApjSm3jU+sK5GHOGrJwTIoib+GjqF6r2b0Istk\n8AAAIABJREFUtGX5kzl2Tkn7ttNX0qV0OWLsjS6pmiKx4eL4YmwTlCWnPPamIXvTEhSk3VQZuPIv\nniC16bL18cP0x0Tn/cF6f9edbE+8OLTM9ESxcCfbfkU4TTTEKW3sDXCCIdtJmPny1j62q/c59CcM\nYU5UEqmqYvXH80x/x9I6grC9ErH86SL9MYXXUVhH4Y8asrcsreMxncOGMAMmoSheckjXhmzHwnZi\n3SN9I0HpkrCdWzO4fUVvQlF9OJZCmYJrf7VM7aSw7XUhzGj6U3tsKyMFw122i1Y217LaLd5vP+gw\netqy9FNFth5hl+0gr6hcDJl4vim1ng3pSHX9PbbH3zBk1y1hXtjGwvWfSpDadNl5qER/Qu3qsQ/a\nOpAbMgoKV7uUrsb0JjTNRbj1oSSdGc1gVFE/FeGPGNIbiv5MRJiXk7E7rcis+/hjMWEBln8ix+jZ\nmPnfD3C7EGWH3XM9CEZj4iSgpXXa60jX2+rHFZlblsKSwa9Ymoc1iZqmfp+I4gtXNToQdYMORbSP\nEj1nsmVIb8o1Tg2HkHdmRY3hBEDC0JnSHPq8pXRRWkZ1AM0Hg10pUWvRkKpaEi3LyLmY7UeN2CF6\nkFsVW8ypFyOCgjSa+CXxQiheVrgdxezXexJdPOKyc3+GiZe7ZDbFZrF5VADtT1i2HtFsPxHTr8jr\nN66iclZSHamGIb9imXjtgFpi/TAvBcULbUpXY7rTmsYxWPtIiu60YjAihd33Yrs9rync6AvbeWmo\nGD0bM/f1ELcrxTsVy+YdjMbEKUnttWccEm1he+WTmvSGpXQtxq9YGkeF7eqDwnb+mniI+2Wp49RO\nCBvOQNhO7Sj8MemQBSnOwZBtb4/t8gUpVuoAGg8F8jWGbKd3LF7HMv5GxPYjZtfGNreqSDYsUy9E\nYrF5fch22u6yPf5mRKoustXtxwpMf6NJZlMaUBp3sL35qGb78ZjemAMK4sR+tnMr4gVzENeB3JCj\nNLQWs9TvctC++KEe/ZUladFMQem0x/Ff2WEwCsXzLm4P/KIis25pHk1ReXPv+Lv1IcX6k0lpRa1L\n7qt9NCZ31SVOyjVHWbkq9icNI69pCsuh6I1diz9qGHs7QkVgszG9SUtYsBz+rR1Qkibwqi5+yXLr\nw2rXBNwvKlQ4bAIpS6uqu+ORqls2H/awDoy+ZUhvKRho2guinXa7SqrS94HbM6S2HRHmK0jVDM0j\nmvWnXFSs2HnI0DwuRaHBiGLmuR4rP5Fm62FN6bKhP6kIyomhUb7kuW+bfI+9ackuuWR2jBjAjEsU\n73UNOycd4iRsPH5wr3Y/rCtKQ+Oe/D62D/+T07st0aW3PI79emMf20FBfCEaxzLvYnvjsYQ4BdaG\nbC/usZ1oCtthVtgefVVTvhywc9IRJdCoYfLlYJft/oQlKFpm/6C3j+2gOGQ7CVjoj2hUqChfiglK\nVmw4dzwyW4bNhz2MAxOvxLtstxY02TXp9utOKWr3yuvfx3bV0DyqWX96yPbDwnayJmyPvxGw8bjD\n9kOa0iVDb0oxmMoQJyFdM8QpOTiMB6NvSY46VRO2+0O280v94fcOUfZg3v7+xBuyUspRSr2plPri\n8O3DSqmXlVJXlVL/XimVGL4/OXz76vDjh/6wr+0EMsFCh5C/FdGdUZz/B7PoSKJcvzyMEN6O8Ueg\nfCVi9Ky0DHWnpE3aeOLTOv4qlC/FxGkYOR9RuqCwrsjkRs6KlE4H0qufu6HpTyjWn0oMja1Ft7z+\nlEOcj9Etl7A47MR7ZIREy5Jbk03U7Ul3nV+RFEVvUiJjZcVvo3hJIuLYkytZb1JRPalp3hNJlD4T\n0zoR7Vouli9A9V6PKC3RgtuH+l1i45naUeKB61oSDc1gwlC5FFO7J83YG4bCdaieVIycjelMu2S2\nDPW7FZULUpGeesHQWNTMfaWO2zNYVzSjUc7SWhDjltZhuRr/17a+n1yDsJ3oSGNC/qawffGf3ouK\nh2xXpFV+9O1YWqWvRIycGwy72RTtQ3tsT7wkbEcZKF+KKJ9TWE+aSCrnJeWhA0ucFLa7U4qbH07i\nDIZsL2vWnvXexXZzMU16x+yx3R+yXR6m34ZsO74lUVeULoA7ULtTd3qTiq2HnX1sN++JcAbSDl45\nB/W73P1s3y1sJ6tSvLOuJVF35CA5F9Ge9xh/fcj2/YrRt2Pacy65m4ad+zWjZ2LCgmXyJdnYz/2j\nn8frCtvtY8L21iNZYfsIB7YL9b/kZf2PwIU73v7HwC9ZaxeBOvA3h+//m0B9+P5fGn7e91wqgo0n\nFV7HsvrjMvao/LYjZuoRFJYMUdZQv8vB7UDjiMvKjyVpH5K88vR3InSg6E8oUtWI2j2OFBF8Q/XR\nmPRNFycUXW6ctNTvE3OdzoJIaoxn6U8a3D70pkWt4dZdsiuaqefkFO6PKqK0onEqwB819OYiBjOh\niM/HQ6KsQYeK9Scc3L7oqv3JkOoTEcm6XBHTm4rMskvuqgsadF+KKa2j0LhboIkKhv6YYuwtQ1g0\npLdEplS6GpK+6TL+ujSvDMqazpz83FJ1SZkkGtEwIlGkthW1E5r0lmL9KY3bhas/U2LlxyRSG3nd\nwemJmY0yUnTKrR7Ma933eX3fuAYp2N36kPz8Vz8uqa7KWw5eV9geORfvsd2FxlFhuzOnCEqW6ef3\n2A4zito9zq6h/M7jMambHk4g6QSTELYL18U72bqSXx5MGJwB9CbvYHtVSxeoKwb5g7Km8eCQ7Vlh\n22phO8wZdKC49Yw8k0FRMZgK2XkqIlkTZrI3Ibs0ZNvZY7t5DOonJCqOCqLYmHw5IixY0lsiS0vv\nGDJrLtPPB5QuKLrjDp05WH9aka5K/l0H0v2684CoVnZOOsL2k/KzPfrPfnGP7VffzfZBNaj/E23I\nSqlZ4BPA/z18WwE/Cvz28FN+nb0x8Z8evs3w488OP/+7rjgt+a9BRZGoyhUtuymFteIVqN0nEWmU\nlp7/oCReqWHRiBfqcQ9nAAtfarH5WAKvAxOvBujQkL/iMhiLSdYtvZmY6e9EJHccujOaZF2T2hE5\nj8nGaF8x880IZQXk9Lbl1o/aYTeUTFFI3PLE7LvtUDjnkd5QpFYTpHY0JmlFE+wOC3Q3PHCkw0k0\nnJb+bEx/yqB8MSdKbjuk1xVRLiZVtcz+vmX0TMDGE5ryWU3xekxvytA87NGfiUjWQorXQ3rjivyS\nuIANypqFL/fZfDSJScrmH5QgvWnpj0nRSEei/ihc08x+I2D0zTaF5WFbbAC96ZjW4p+Ejh/e9f3m\nGtjN7fplhG0lTn+ZTfFI2XxcC9uZIdvFO9juKOrHhO2Z5wZ0Z8VNbeZbfdJrXfJXXPwRQ7IhbM9/\nZUByxyEoSYddasfitYRtZ6A4+lstKbAlLKWrEdVHxPPY6cumnFgfst0StrNritRygtS2xqTE1Eus\nZiGztJ/t7gz05t7B9o5DekMR5WNSNcv8lw0Trw5Y+4hL5ayicEPYHpQ0vdkIFVvyaxH9MZH1uT1F\nf0Qz/e2QnZPuLtt+WaaODEaHbIei7ihc1yx8pU/puk9+xe6xPWV2U4sHbf1JI+RfBv4uMCxdMQI0\nrLW3DXTXgJnh32eAVYDhx5vDz9+3lFJ/Syn1mlLqNdPsklvRLHyxTn5ZIuL8+SrGg/a8IrUl15v8\nsvzgw4JoEA9/LsBqmP6V0xgX1j5WwBlA5XxIe86jPZfEr1gmXhSz7OS2Q2PRwx8T6dvkywHGVfTm\nInKXZMNb/XOONEho2H42ILvkMv4qdOekZdQkZJhonDXk1g2DcfEImP9PW2AkdTAYlY3QL1syVxMc\n+a0WuVWFikWrjBFJkBOITrJz2KCMon5CxuK05z3K56SCHKY1xSua9mFL7rpLbypJ84hHYcnQnVLk\nVmU6w9pHMiTrIhcqX4A4IR7PyYZYi7YPG8oXpWkkdX2b3kyG5lG926VYPqeZ/+oBDSO+f+t95xre\nm+3Dv3qN3Arklw3f/sL/TOypfWwXrt/BtgfzX5Emoul/I2xvPJ7CGUD5ckT9eIr6yQJ+xTL5Arts\nb59Kv5vt+T22r/xMfpfttb8Qk7vuMvrWfra9jiXOGbKbhv6UWMzO/avTYCTNMBiVRpegJGwv/kbt\nu7Od2WO7cTfUj3nUjycZPW0Js4owI2x3Dlny11zilKY151K8bujMSFdgqmbYfCQhbGfkUIgTchB4\nrSHbRwyVCzGZLcPXvv0PCIourSOKZF3htcQtMdE07/Wr+oGvP/aGrJT6JLBlrX39/Xwh1tpfsdY+\nYq19xE1nMS5c+2wJgO1TitVPjw99HQz+iIy5qZ0USz+vqSleM9ROJNEhXPqHJxl/KyS9JdFpd9Il\n0bZU7xf95eZTluyagBgnoXxGk9rUkjseWEZedxiMWRI1ic77s6HoLTcSInR/NpZ5ZimJphsnLNa1\n1I9rwtGQOGXZemYMm5BJJFE+ljzdcCLu1Z/Nk12PCQtikoKSDdJ4ct0zuQi3LRMXMpuGzpykSXK3\nYvySIshLjs3x4dZHDPUHI4KCYuK1gNhTrD8j+tX2EdFHly51yGwonIGidCUmykjH1/qHpfi4/NlZ\nEs1INN7ZoY/yHGw/eEDDiO/D+n5xDe/BtgNX/vYRAHYeVNz7935JhgXcwXb1gT22K+cNzcOS27/0\nv9/H+Jsh6U1huzfqkGqYXbY3nnkPtrc0G08mcPuWkdccBuOWRFX8HPpzIW5X2AbY/HBM4doe2/V7\nhO3G0T22q5+5H+u9N9uX/7vyH4ltt6PIrQvbcUIGkwYFYdt4cgNd/uRQUVVSjL8lKZP1D0meun0E\nvJYmf6NP9paoOkbfDokyMvrq1kehX1Hc8/d/idSWT7IubPfHFZ15CLMHM4n8J3lVTwOfUkotAf8O\nudL9C6CklLrtMjoL3Bz+/SYwBzD8eBGo/mH/SX7FcOQ/tiheD3AGYjMY5sVnOFkVBUNmXdypdCDe\nrcZTBEXpoFv7qEPjOBLtrkfU7lXiVpWzpNcdurOWMGcICpbGCYvbk6m9sado3G2J0xKBM+bjtFwm\nXo1x+4ruQowa6GFLq+Sz1IgPyZjBRIzqOWAFGBUpRl5z8FoOTj4krBjS23J16o05mJQlKhjpGlyS\nJo1kTTHykgcWBnMhtfsU81/poYd59TgF7mBoiJSF/DUXYkW6anF7MYXVCK+l6E/F5JYVpUuWa5/J\nkarJQ9GZHhoxrSm0Lxu3srDyY1LBG3tT8ui5FShd/a9qYsifCtcA+VXDwpf7jL3ZEW+LinhZJJvv\nYDspbLfm72B7x2Htoy6Nu4Tt0pU+Ow/oPbZvDdnO77HtdcRmNU5I8BCnDPklsOPC9uRLQ7YPCb+N\nu4ZsR3ewPbnHdvOYFAVHXh2yXQgIK4bcTdl0+yN6P9s3NEf+Q4NUVTH+3B7bOw8oFn63JwfJE5LO\ncfvCdpiH/FVhO78WoyKZLu01Nb3pmNyKyNiu/3SGZENupc0jHqkdLf4avqQulIHlT8hsvV22V0WT\nfxDXH3tDttb+fWvtrLX2EPBXgK9ba38G+Abwl4af9jeAzw///oXh2ww//nX7h0xWtQ5sPaLYfLzI\njU95TL4S4gwU+RXD0k9Lzuq2KVDnUCxGIUp63R1f+tmVUUSFGKevWf6EFkMSA6WLMjA0nAjRkSIY\ni0lvaNpHDK3DkvivnFWMvyLuWvpWCpM0rD2rGExEEMPkC4o4H+O1HPrTMSbUuNsJ3LZMOI1HQqKs\nxelqjAu5JTCNBNaxNO6RBo72URn9ZBNibdh8IGDtIx7du33q91nC8ZDsVY+waFj6yQy1k8NW7aMR\nrbtD0luK3pQAVrzo0prXXP2rHtv3u/ij0hfqdS2N45qJV+VKiBK/5txNS/uwJbWtqT4hOlZlJHe/\n+bimcEPSG9V7DqiL9/dh/WlwDcL29sOKnfszXP7ZLCNnpVW/eD1m+aeE7cJ1+bOzEO+a4Nxmu3zJ\niExzyPa1zyZ32a6cle6/cCJEh3tstxZj2oeE7ZHTisnnFc3joNeF7dWP6V22i5f1Htszwrazk8Dt\nDKdxDNl2O1rYuwSmlsQ6luoDEmy0jtn9bD8YcO2zJTonfHZODdm+dgfb99/B9on9bJfOudTucln6\ntGb7lIc/JkGC17Y0jiumn4/FPAthu7BkaB2Rbr/qU8I2iPRv83FNfkXSG7f/zUFb72fc/r8Av6CU\nuork0n51+P5fBUaG7/8F4O/9YV/I8WH0tCVdNSTr8hKzNy2tQ5rcZQ80w5MeMjelL38wZonTAvfW\nU1IISW67TL4oqQd/ZBiZTktRY+QFj8wtxfgLDt2FiJlvWoKyKCMad0F6OyJOSQRsE5bUtkNm1SW7\n4tCe1XhFn2RVkb7l4G0m0KEUHQpXNd5GgtSmHpoLKZp3WVK3HNxCgMlHOH1FXIjRA4XuOky9YEiu\nJQhLMZWXElgFY9/xiDJALCY/yR1Nfy7CqznkrnhYDYVrmjAnV8L+hDh4TbwWULzokqw5MpuvC42j\nWq6eDmRuadqH5EBRBma/6NCbkgco0RBD78GIpDdGzxxQ09g/3fW+cQ2ilR05Lc6AiYYmVQ3JrknT\nTv6SsN08Lizvsj1ud20oN35E2E5tucz/brjLNshIKJOJGXlJCnCjLwvbc79nCUrCdv1e6fiL0yK9\nswnxe8isuuSWZML0Lts3hW0nkKi1dEHjrQvbVgvbtfstqfUh24UIt7uf7bmvhfvZ1jD+LRmzpiKF\n11Ikq+9g2xmynbW0FvfYLtwwFC+6JOpDttuK6gmX2n3Sup25panfpXc7Z2e/5NCbFguEZN2S3FH4\nJTX0Uf8zEiHfuay137TWfnL49+vW2sestYvW2s9Ya/3h+wfDtxeHH7/+h31d40KqFjMoK8beilj5\nMYfWIoRFy9jbAZkNS/66JsrFdBdFala4NpSJ5SyZFXGmGn8jonnEIU5LAWD6O5EYbfcckm1L856I\nxnFIbbisfVyuaF5HpElLf0GTrDnEKcvCf5Z/HxYsg3FL9/4BhT/IgILJl32ZPmDl/+5Ny8NTWJYU\ngdVgUgYngMwrGTLXEiQaChzREBeuahzf4I9FuB2ZDVY+L8L49KbkxvyKoXckZP6L4PbF69a40Lw3\nFE3ylia3Ih6w26cSwyGxdrejz69It1N2VdGbMQxmAzLLrnQ2VTRRRiYVJzoWv2TJbBkmXgtZf/K/\nngj5zvX94hqkFpCuxnQnNONvRNz4lEfrmLTGj78+ELZvvAfbjuRAs8uO2G1+qc32Q0lhO22Z/8pg\nl+1E29K4LxLPkw2XlU+KlDTRlj/XftySrDlEactd/7pLlBW2+5OW9qkBlS+mQcHY6XB3skaUEzvW\nOG0pXr+D7eQ72G4N2a5r8tc0cUrvY7tyVrH9mLCtfXFj6x0KOfrvoz22nSHbVWE7vyxstxc01pH6\nye2OPr9iKV1U5FaEbX8mILMibA9Ke2x7XWnRzm4YJl4JiTJ/9iPk923pCDozLmFOYVwZ+ZJdUaQ3\nFdUTMtolTko7plt1KVyzNBcFtmRN4Y9YRs7AxpMOUQamn4sZex02H/MoXhEDlO0HFdkll6AS4w2v\nNXFeWq6VgfwVFxWJlefqX40IR6NhGyeUv5MUKZuG5T/vYZLiSRuOyXw0k5Z0hBr3CQsWlY2wjpjR\nBwVB3KmLjWjz7piVj2vQcuLHGRlw6XY1/UkpqJi0Jb3sUb3PZfz1kPSqJ/PurLRUex1INi3Tz4nO\nsjdtxNS74JC5pRh9y9K8yzJ6diCj46se6R1Lbz4mXTOMvyqHUH7VZ/RtQ3dK4/ZimUzxwXpfl46g\nPStsRym9j+2d+1P72PaqLsUrZo/tuqgaKmcU1/9ijigDc78XMPEKrD2b3mV7535hOywbvA6gLHE+\nHk6YVsJ2LDaUV/5OgnAkIk6JpLT8fJIwp7AKVj/mCNv5/Wwbd8h23qJykaTC7hItsTKgG+6Q95i1\nZ9U+th3/Pdhe8dh4LMX4ayHplXeznWhZpr4jt7juzJDtkrA99obkyfexvT1kuxoz/qr8zIvXeoy/\naejMyJangx8sB99tHcgN2XjsTnveeELGNLkDGZiYvxlTuCrFtfmvRnhdRX9cfjE6FiP77Jqcfl5L\nJET14y7Vk4ryRUP9Xktm1SXKG+Z++Q1K5106J3101yGx5TKYjPAnxUPAeDD+hsVdTpHYckltipdG\nb1rROmbpzkeYkRA17mNTBt12STRlsOL2w2BiyWPbgUNQsOhcSJw3dBYjTEIkRMltBx0q3IZDdE+X\n0nmXnacisqsKfyoizoo8JyiLmH/nfo/RMxFhJSa96tKbMmQ35DbRH9F0Z2X8T2HJ0B8TeVzzqGbi\nZfFMiLKWQ/+5j19WuE1Ne9Yhux4QlC0bj6ZpHnWY/bcXqN6TIk4ezCjih3kZTw78ZMOy9YiSItZA\n2tpzt4Zsz8csfFnUD71JzfjrMhqsP2HJrkq++DbbOw8k2T6lOPJra/vYPv8Pf57iBYfO/e9geyoU\ntl0Ye90I25suqS2NX5K2/eZxS3chwlb2s52qKby6w86DStguCtt+SdiO8ob2sQjrfRe2z7psfegd\nbFt27Wl3HvCY/UZvH9uZbcOgovBLmt7MkO0be2w3jmtmvmW4+WFhe/H/a+yy3Zp3KZ1r4Fcs609n\nqR93mPm/TtM86h3QnQ/UH6EO8ae+0pNz9thnfwG3Z+nMK4JyTP6aI22YU5YoF1M+46BiyWP1Jwza\nFxP4RBP6E3t97SDC97BgyC070jp51JC9qenOx1AISV5LMTjk4+wkiMshhBo8Q+UVj9ZRmQLduFsK\nGf50KHndok/qtSydwzGpDYfBsQE0EtikQWdDvOtpggUfdz1BWIlQgSaz5pDetlQfNFAKsX0HFYgv\ngNfW5JctzeOSbkjUtEy2LoSolgflAL2dIFHX9BdCMtc9/FFD5W2JJHQE9XtkXtjO/VpydFbcxRIN\nOcCsFrlTeks8lgcT8kAk6hp3aIVoXLlW9scVbgfe/j9+4XVr7SM/WCL+7Kz05Jw9/plfwAksnVlh\nu3BVjHF6M8J26byLM5CBoP1x6YrzOtJ23JlVe2wrYeU2204fmncZsmua7sKQ7aspBoffzXbprQSd\neUvxEjTueTfbydezdA/FpDaFbVVLYNIxOhPhXU/jz/t46xJdK1+TW3Yo3oi5+RHezXZHUTlv2X5Q\nRji9i+1SgN4Zsj0fklmSGZWVt9VwkAJU74epFwzbp+5gO7iDbUfYzmwqgoJMDVEGkjW9q2S5zXZv\nQrH0q79Ib2v1wEUcB/KcUEYmKwRF2WBH3tRktoxMYbZQuORiPEWcFDncyGnFwld9egsRnQVLbkVa\nn1GyGSeaitJ5mURQWInE0apimXheYTsuUdaSWEsQZ2OKp8Wmj0jjdS2lSyK016Fi6sUQnYqovOFQ\n+HqG9JbFG+tTuSCqBpuLwDOYwJErUdfFJCxezaV8qI7/QI/2xzskqw42kispeakaByMxvQnFkd9u\ny7y9osXmI/JnkthUDPUEJmUZTMU4Tenw0oGisOzTXpAHdO5rIc1DDoVrUmBMbYvvbH/ckr7pULzg\nEuUsxSWZ0Vc+p/BamkOfq6F9KdyktjXNY5Jvc8KDd1j/sC9lQMWWID9k+y1Nens4dHPItlUQZYTt\n0TcVx3/5Ov1ZmbBRuHEH254MQChd0PTHLPmbe2zP/AHCdu692U7vGMZet7SPCEeTrwjb4y84FH8/\nQ3bd4I31GTkXy+zIfASuFbZDoC/1Fa/mUj5cp/9wj+2/0tvPdkGKwkHZ0DysOfS7g/1snx2y3biD\n7ZZo/3WoKF3piadKCo58rk9j8Q62hyb//QmR+hUvynNcvBHite9g+3eqOH3xbb7Ndlg4uFwfyA3Z\nOjJyvDsvk2zjlLRLW0euarNfuEmqZvC6Fh1AZ06x+qNJChdcCtehdr+Iw/NLUpkeOR8yGFEUroiD\nmtMXO78gr9CBzP+Kj/YpXHEZjMJgVhJM/XFN7T5LnLFEkwErP+Yw9fkErUWof3hA+Jkaxd/Nsv2g\nho5H8qZH5lqC1HICrwsqkJbVcDKg89YIcS1J0Evgjw3NXEYilGPIrWhsNqI/HXP5r+cYec3BGcDc\nFzTdeUP+kocthFjHogfSBdWfMER5w8qPJamcH3Y6ZR26h2Iad0nE3J2LqZwTo3OTlAGo5fOK1pyL\n15Xqc37JUn2oLJO0PfHjjbLiT9ubOHABxA/9so6oKLrzhtwtQ5wQthmauc9+fo1kUywqdQDtQ4qr\nP3eE4nmXwjXYOSVsF26I0c/IuYhBRVG8CunNwS7bvTH9PdnuTmk2H5dCYTgZsPqsw+QXEtTug9qP\nDgg+W2fkdzJsPbTHdvaKsJ1ogfYl//092dZW2M4J29d+OrnH9uc1ne/Fds6w/ImMGIBlFX45QXfh\nDrbn38H2jHTgNRc83J40TRVuWKoPV4hTEpjdybY5oPXqg7khazjyOwJXf0RjXIGsO2eZeD1k+S/P\nkNkI6U6Jp4VfNlhPcnHtBRh9QzHzjQi/rAgqhp37PAbTMX5ZsfYRT7wqEhId5K9rovGQmd9M0Fkw\nBIcHjLzskb7p0ro3INHUMOqjGh4mY6gfc0gfb+CspuieqVC7V07s5LZDdg16x3z80RgdIbK3skF1\nXZQRh6zK8wnIh6Q3NDgWM3BpnQjBdyAvvhnVJ0J53SddZr5haN8XyNXOsbhdRW5ZNvrMqkM4FtE4\npunOWAZlTXbZEQH+6yEz34T2gpiYu12I8vIz6E9ashsRcVIRlBTFG4NhE4KYrjg9NRwIe3AjiR/W\nZTUc+82usF2Rhg+3o+jMWyZeC1j+7Cyly126UzIg4TbbzkD0s6NvKma+JZtwUDZU73WF7ZLixqey\neG0lE6GPiHd3NB4y/vnUfrbX9rOtm8J28+iQ7RVhe/theb6SWw6ZW9C9a8h2aIeSToPqyaw8LJRf\nELZTm38Etu93mfva92Y7GI+o3yVs98acXbZH346Y/6p5N9sjwnbuVkSUES+cV3/tF4TKTae3AAAg\nAElEQVRtX+H1LE5PMf/V+AOD+j/O0hG4b1zG6Staxwy9KYtJSr5o6VNiaO32YzJblsTQz1iFojRw\nfHHCWn/Gxa/IqJnu0RBiaSUNK2LePfOtgChn6CwYim8lWPkElM4rbM+lOyPjmbxsyGA2JH02Lfrh\nrqY/G5P8fImoYAgLBmb66McaaB+aH+njJGOSVdH2qvEBzlSf5JZc72wuovpYRPGVlAjWI40aCLwq\nE6G3E1jPkiz4WC0DMLcedsRHeUtTesvDJKB5IqZww9I9FuBtu8Rpi0kbdh6JGYxJJLD2URc/r0k0\npVI9GJMuL+NA6bIVqV1ZqtbXPy2WjFjYeURyb147JrXzQYT8fi8dgfLD92b709Js4ey0SW9bvPYw\nxRFCumrE+nJMsf7U92A7DTPfFLbbh4Xt9Y/KENv3ZPtMGpMTtntzMYkvloiKwrad7aMeaeL2ofUj\nfZyE+HN3Z9nPdlLSdbVHh2z3eG+23f1sbzz2HmzfHVO89h5sPxrLjLyq5dYzDv0Rl2Rd2O6P77Fd\nvmh57kt/F7+s6E0bDv/yPxe2ga3Hh25vjUACpgO4DuSGjIVL/+SkzBmra4pXpK05KFjKZ2S0+NZD\nGaqPRIQ5yTehoH63FMaCglxJooxMo538hlR7w6JFDzTOAK5/xiF906FwVQYt5q664oq17TCYjHBG\nfCLfhUgRnupQfCuBimT4afVhgzvSJ7Pm4HkxvU6Swbgh7rnopTRxWiaC6JU00XaK7C2LPtRFNz2y\nIz28jqX3VBeUZfJ5RfF0Ai8ZiSdAX+F3kiRH+9iUSM+iQkxQMTQeDEV2d1azc8qiO5KiCcdCeW2X\nZGq1dUQiZbWY0QcFSUfkl8AfMWw/AssfF8F/6aJCB9KqWlg2jL6uyd+A63/JIVX7IEJ+35eFS3+r\nuMt26RIUr0qbc+mc5EFv/cQUtYcjoizo4VzG6kmHwtJ+tlUM01+7g+2+TLO5/peF7dJFYTt/2ZV6\nzG22R4dsx4rwoQ7FtxOoUJG75lA7JWynbwnb/W5C3NF6Lno5RZgXjpzrwvbMc4N9bLs9S/8J0ZEu\n/dz/ROmNO9j297OdX97PdvmcsL39sEW3XcoX72D78pBtJdJWGB5CQ1+X0mWLP2LYegyO/PNflFFZ\n5/bYzq5bRl+XveTKzyZRH2zIf/Tl9g1HfjuU+Vux9M47vqV0GfySdK61jxrchktm0xIWhi2mVkaU\np7ckPVC8Iu5P3SmNikQax6hPdz6icNGlPyNzvua/XBcD+7PhbsLfbKRIXUtSuOwSx1rUHaWI5okI\nm42INjP4ZUsUOoz8QYrsqmbiGy56sUPq7gbbjxrCYkx21WHw51soJZ2C8ekiO48awnqSVGXA+o+H\nNB/yCbfSJHYcTMLi1FyC7Qy6I11Ix37dlyLHaY+dR+Ld5hFTlNy4W/XQviIoQZQ19CbFWat2v5h/\ne125KrcPDUfr+DJdwi9b4pQi0VIkG2KAbxX0phTjLzp0pz6IkN/v5Q4sC180u2w37hJLyOJVCIrs\nYzu3avbYBoK8Ir29x7ZJWNqzwvbomxbGfPoz8S7bWFj4rXWiLEx9p7uP7eT1JPnbbE9aonJEezHC\nZoTtoChsj30lSW5JM/q8h17skD7eoHbSEIwI2xv/g7+P7erDQ7ZH+iz8+j+i8eiQ7apMKXHqLsHW\nkO2Tlrv/z7aw/ZbH1pMxzeOW0gWFKYX0Ju5guwhRztCdFUfEnVNiE+r2hO3GcfUutqPMHtutwzLR\nuzMrbN9WYB20dSA3ZL+oWX02SWFJ0hKFG9CdFl8I68iUhPI58f/dedSQqEmhoHjV0DwR0z5sSFUV\nzcWh9+yIDH3ceMai1lMkt13aR0QGVn0q5MrPltABbJ3yZM5dLsS6lsHigOiZJnEzwcSrhtxVj+xk\nl+zFJKriYxKWTMan8fEu7ZM+jU93ST6fp99LUjmtyYx36ZwI6G5mCXoJKm8rwoLB7WiKF1wG1TTp\nvE/+TJLsskz39VqaOGfQPY0thaAtNz+SpXgJuk93Sa9LPrr2QIy3nmDiVV9SPH05fFQks9hS2xId\nNO+OCbMM/aMhmJDpw0c+7+MEChXJLWLilR6ZdYXrS6dhb0oR5j+IkN/v5RcUt552KV6PSW8L250Z\naUW2Ggo3DKXzwvbmM3aX7fwNS/OeIds7Q7bdPbY3nxa2EzvOPrYv//eT6ADWPprdx7Z/dED89JDt\n1+5g+9J+tuuf6tF60Kf9E51dtkfefDfbEy+xy3b5bWeX7cLpJLkbDm5HpJ1x1qD7GlsOQFtW/nyZ\n0bcs3Wf22K7fL2zPfL35nmynt4Zsn5BpKXeyXbgO878Xy/c6ZHvquSaZdckhx2lh+4Mc8h9jOb5s\npMZVZLZk6m1QgFRDfqCbj2oyW1KgmvuKFQ/fhsIvalK3HHIrolU0KbM7gbpzKCK77HDoyz7+dIj2\nNQtfshAr4lJEf8oQ5SzxpI9eS8lPpuMx84seTsdh7SdjwkfbDG7k8SuW5KU0qW1NaydL2EhBqLFW\nIsqo55JqGnrNNOnrCbITXRKZgOqTIe5clyhtsc/WSa276NcK2A816N7no2L4/9m78yC70vO+79/3\nbPecu/ftfcO+zmAGmB3cxE0URVGLLVuWpUqspCqlqjiVOIodx0n+SlKVcpVLlstxoooTVWKrIseW\nKVkSRYqiuJPDWTArtsGObvTefe/tu5/9zR/PQd/uAWYoKmOxKc1bNQVMA2g0uj997jnv+zy/J6qk\nOCM+6WSA9k05oZ6VcBi9kGcwGxMXE3KbFtFkRP1MjtjT5OoSmagdjYoUiSd5IFPfVky8FmG3FYe+\nEJBbsVEpLH/EQxuaYESCwdefztOfkYPBI/9vk9gbPhq+v967NbQtjSA7tpspiafZOqsYuREQjCjm\nvizjv3JNRZxnx3Zy33byNtt/OLR96Pcfbtu8b7tjM/NPHLH9k7tsj+y1HTbfZntg4TUTsX1raHvt\nk/GO7eTHt3FXLdQrZdKPbtN9PMAM5YK9Y3tg7dhuPPIQ21MRax+siO3GXttxXubmTX1HMXZR0g0P\nf97HXZbb3vWnbbSppfrkdsLqhytiu2Zw6Pe7xB7v7yF/X0tBYUWhUo1fNWkfkcMNu5tgRNKptP6s\n9OKDtAr749nJ73hKf0rjHwqllCaU1mHclO7RmJUPuThrFoUlxcpHLMxti5FXLEizfdbXXJLpgOJt\nk4nvKm7+Yo40n+KVfdJUQnmSyZD40R7JEx0Ofk6BoSlftVFK03kiYHJmm8Zpk4NzW+S2IYpM0ptF\nSBW13ylgjAW0GwWCIz6DyZTgWoVCZSBBRsUY79tFdGiA0pTfyKFCRVRK0bZGhYqDn9dMXogxGzZB\nTT433QOSIle4Y6Jt6SJc+9GY/oTB1mM2cVGz+KncDtT8qpQAAXTnzJ2W8dSB1U/UKC5qSov7M8T7\nh3opyK8qlAZ/ZJftXrpje/FT8iJrRJrBdMpgQg6j7tseHB7anrjwENvLiuWPie3ay5bUEWe248z2\n9DcVt/6m8662j/1mAoamcmloe3yqxdajlthu7bU9+S+9Pbb9iV22U7Gd/8ZDbBf1HtvTz4eYdZtg\nNLM9n9m+u8v2p8R2/RGptV74tEtqafxRRWFZsmcA2gdMolJm24b150qUFvT7rdPfz9ImdA5qNp+S\nEeVWT5FrwOZZm8I9jbchKVHhdMTmWWm+8DYU/phs8BfvyagZwzeyR78UZ8WmdF1G3IRTMYNp+aIU\nlhSJp0jzKel4SFgCVXfoHkqon1FQiDGqIXFkEvUdZg/U0bGi9PU8UWCx8NOK8kQX42MNDo01ODBT\nZ7vr7VzsOodSKsUB7iPbTM032DqnsjHXCtNOURMBSU6jX6wSf7ANQH4zRQ2kM7H71ABdi9C2xm5J\n5kXriM3SJw2Saix1n5EiKSakrt7ZGytfs3BWbHrzMiw2V1fZvEDoH4yJygqzLwNVUxvya9kAywmZ\nbtI+ApvP/GC+/n+RlzZlIsfG0wZbT77N9rI4dlpie+MJW2yvS0uztiQWwF0U2/kVxerHxHb5qkUw\nlhJOxgymNCrKbOeU5E+MRXtsbzz5vW3f/Js25Yku6pND252+S5xtZXUO6j22Vz9kPtR2+lKV6ENi\n+41/9ivf0/biZ6yH285qhytvZbbnZEvC3VIyL9CC/oF4J63Q25JJQoXlXbYnNK2jEBd+UALefe3L\nC7LV15L1YEnJS/9QROt0QuJpSbCqS2nXxDdttCUXYX9MU1qQ/nmtILWkBK5zmJ25fN0jCWkxQQ0M\nNBDMh4RVObnFSSm97jJ2MaF4pCWF702Fkw/R6zlGvpjHXXRYuzhJcbQvcZap4sjxNfxLVVKtuP3S\nARbXakyPtElmfda2Sxw8t4KhNGlqkKQGU0+soVPFyKsWhpnKgUgtJMnBYCuPWwxZ/XiCtjUoTdq3\nsFYctJNKPsCGSVCVsBkVyJcvdTTumoVTN3A6kNswKS0loEAb8rlKchIMY/UV7poEG029KN2BYUXT\neCxlMJMQjcVoS9K9jOD9LYv3epkBcpF6mO0j4G2mOC3N+Lf22i4uytdeaUhNjRkq+rN6x3bneGbb\nFxPhXEg4IvvMOCmlN3LMfDt4qO3qH72L7cti+9ZLB7i3PsLMSGto+wnJ6t+x/aTYrr2y13ZqD20f\n/Of/6N1tV97B9pYpEZobJpXbEmikTSmDSxxI8kPbKJj/SkB/QmzXn8hsjw9ts08f/vblBTn2FIf+\nIGL8VXA2TcyuydjLBuZATpbr5zSNJxPqZzX+VMzclxUjV+VR3PTltHrkLQliGXtNcoBNX3Hw8ynO\nuoW3ZpLO+ThLDrUridR+5uRUevXnAgZXqxSWFf7ZPkE7h5oMaJ4C/UiHNJ9ifbmKLsQ4XkQ/snE3\nFROlLhzsc2JunbuL45j3XKrFARudIltXx8jZEUFksb5dolj06X+iS+FrBeKujU4MnCeaVC9Z+Jse\ndjmkctmicNPBGJhEUxHKk7E4USVlcCQkqUgZUeWyyeQLWkbUeFmQuS/76ZUbUhJYWBPApRuyzROM\nJQwmNIufhSSvyTVkAKW7bmK2TYoLki1b3H+t/j/0K3Hg0B/GjL6hhrYvyGDT1NZsPQnNJ2Iajw9t\nj7+WSmCOD0EValc1xQUo32TH9uxXkZCgTZMksz397UAm6jgJWsHCf5Ls2A522d4+ObRtfk1s224s\ntrfEtjrY5/jsBrcXJrAWh7Ybb40+YLv3yS7Fr2S2YwPnySa110yxXQkoX30X20ffwXZezjvMgaI/\nbortUDH6ahNtQOmmSVwQ2/6Y5tbfsB5qu3RHbJv7NOp7X16QVQJrz0mKldNWTLwk5Wzz/+glnJaB\n1VPkFy3yywZG32DtWYPNp6B7OCEqy8ia3rSR9fvLOCK7C0ufsAgnJQLTveyRayoaj5r0jkSwmqN9\nKsZ1I+KCZAU4V/OMvGKj7rlE0yFxbGJUQzof7lO64mAYmjA2GfupJW7emaRY8LnXrIIhj5lhbDJb\naZHUIprNIiP5AWHfpugG5JyY1od9zGKEmUvoLFTozck8tZEv5iVG87SPtjTuggPbNtrWeKsGxSsO\nzro8v7WPpayfV0x9p4URgbsl9am9abkQR9WEhZ9S+BMpYRXsnpQGFZYUc19WMgrKg9y2nPJ7a8bO\n5OBcc5/eRvwQL5XA2jMO9ccZ2s4rrvzPv4LdzmzftffYXv2wonsoIdxlWxsKlci2hN2FtfMG4YTk\nfbuXPdyGYvXDOXpHItRajs7xzHa2t2pdyzP6woO2u+f7lC86mGYqtj/7oO2Rq/p72t7+kcy2K7Y7\nh0GliuqX8hjxu9i++qDt6a83xHZd9pJ7M4riSkRUTXjrPy3jT6ZSMtgd2j7+mwFmXw4Ad9tuHxHb\nKvlBKnjntT8vyBpK9zT5NUm4ah82UKlm++efhix6cOabfYJRzZHfDXYGeJo9mS1md2TvKKjK/nHz\n8YTuAckZLl6ziUdjyXLV8sqLIwcqdtUnvFamsGjSPh5jPNGieTbBOd7GsFOSbQfWckzW2sz85AJ+\n32G80GP7t2cpj/WYq7QAmJxsoU2wzJSy4/PZM5c4OrvJwsI4jx5eYWV1BD+wmR3fxlj0mPj9HM50\nT7IkNk16f6UthfLfyUExRj/aofaGgUokDzd1IJyWoY8jVxVOw+DepytEUxGNZ2K8TU1xSdM8YTPz\nVcXYyyakko5l9cHuGBTWEraPSJC/W9dUb0YUViQG0tuQg1C7/37Z23u9lIbqrRRvXeFtiG2A87/w\nq6hEbE+8GhKMaua/nAxt9+Xr77Rkzz+swNZzCdtnYrEdQemtoW12244V9ojYLi4YtE/EmGdb1J9O\nyJ0Q22kzt2N7+meGthu/M7fH9tTUNoNxA9PQ72h74Ge2FzxmftvGme6RONJN1/9psV37dg5KEfrR\nDnNf1UPb9tD26Btie/Enazu282ua6q2U+mmHma8ZzH5FPWDbq6esfaBAXNS4m5qRayH5VZkw5G0o\npl5MMOL9aXtfXpC1KY92+TVpcjAiuUNuHzKwu+A2NFuP5/HWFM1Trtzh1aU8KBhLqD+T4I/KyTSA\nMTBwN+WAr3siQtkpSV7Tn5ThiFYuIS6kmFeLAHSPxOCmBL6N0TcYdHPkrnngJRSOtthslrh+eY65\nySa318eY/8Xb9K9VKds+c9UWhyoN+JEmm0tVwsTiOyuHMdB85Mw1Lt+Y4+BsHTcX4ccWo2c3WP1k\nQtDOUb0i00EGiyWwUpqPpdC1SGITf0yhyiFxJZEMXS8m9VIa51ISV8awF647kEp+RfM0tB4PWfm4\nvDjVLsr2Q1QCuy0DU80ARq7AYEJRf8QmdhWlBalW2T5mUD+zT4s1f4iXNiHy5MBpMCG244J8vu0e\neJua7eMO+VVFZ94i9uTQKtdUhKMJW8+J7fujPIyBgbsltjundtme2mU7n9nW0Dk2tG32DPqdHO4V\nDwrxQ20f/Plb9G4MbR8sN9EfbbL1LrY9N7N9boN7P6EJ2jmmXpBcl/u2G4+n0LFJYpPmMWtouz+0\nvfXM0Hb+Rmb7kGLzCUX7sZCVj6f4FYOx14a2nW3YeBrMAYxe1AwmFVuPOcSeonIzRRuw9ahF9P7E\nkO9jpZJzvHFek9gy7NHqyZgbu6/ZPgmtRxK0Ad15dqZkADgNg8IdSx7NE3C2TJy2QTCWsn1Ko5wU\n2pacWK8onKaBWvTQ+QT/UEA0FuM0TfAN7Kt5TF+hY4P4kR7uQo72ehHDTHnksUWWbk4Q9WzG3S6f\n+PjrrA9K3N2qsdSpUvV8Th5f4dLSDO1bVY6Wt1jvlzl2ZI3FtRqWmdAPHHqBg71lkSsHND4S4kz3\nsKb7WBsOTsPEbhqUS336cwnmPZfCXYvUAudSHpUojGpIOC57hCqF0jWb4qIGA4rXHLxlOcCLivLN\nn5oyqifXNGS2WtbhCLL/XD+rsXoanQ0JeH+9xysFf0xGdCU5sW135aJj9TXNRyTPQRtIZkQ2JQPk\ncHqP7XpmezRl+6QGO4WO2M6vSkjPHtvjQ9vWtcx2YhA91sO99c62P/nRh9g+scylpRk6N/90tld/\nInpH270DYrt4x5IpIZfzqFhh1IId2wDlKzalO3LDULzu4C1ZYEBYUZih2O7PyGg0M9BEuwaZRkXY\neAacTmZ7f94g788LcpIDp6Up3TLJb2iqVw3Cqjxu+KMKI0SCr/uSB+u0NGklpnc4Jr8qAw3jvJS1\nSYunpnjXwIgV5ppDfsXEGEjziD8XEY1F2Js2XinAaliEUxG5LZPBkYDctsLyYlCa6ESfs6cWCdo5\nFv/gMFbN5wOnb/G1bz5OL86RakW8nMc2Ezp+jk4oj4FTj2zwpW+dY6Nb5GR5A50oWtdrFN0A145R\nR3tYVooemFhWSvmPClh9RTiWEM6FdC6NygTfsZj+oz7dwzH+eMrIGwbGPRdSuRgjh9cMstjM1Mrq\nOOegcyQlzkNxScL7vXVpLfXHZWrFYDolLglmpcFpQe79LIv3fCU5mZhcumnibWgqb5kEI9LuH9Tk\nqUVC3TV2W2F3ENuHYsp39I5t04ewllC6IzP4jFhhrTu4G2I7ccGfzWxvPWjbPxRgdRWWK7bD00Pb\n9/7dLtvfemxoe+VttldzTD66wR9/8222r72z7QP/zHzQdk5s986I7WAsZfQVA2PR27FtJOzsH2sl\nbdBKyw1Z+2hm+15me1MTFzLbPbEdZbZlmO/+vdnYlxdky5fyILeh2T4h+RX5NY3Vl5rCqCqTLqK8\n9PV3D5HVNmp6MxCWFcW7sic1+opJWJUa5cSVgYdWT6YQRCVN+YqN2bKo3IDAt0ltjXfXIZiLyN/I\nYX2ogXHLI9p28V7Ns7A9grNqM/0Ti1h2QsEKSScCXlud5fbiBIUjLca9Lr1+julCm9qbivXLE6jJ\ngIPVJhtBkZMH1/COtCk4IY2ro+S/VSR9tQK5FPXdCvUnUpJTPVSg8G7ndkLuSRXmWg5vxcLdlHbb\n8g3AyOaG3UnoT2pGr8RMvSB3VaV7KXZP4a0ZMjmloEic7NE5L492uW1NYckg9qR0sHNQSgEL6+8f\n6r3Xy/LB7oPb1NkgAIa2V2Ty+f1MFpCaZdUX2+0jme0FqamtXrJkqsh4ZrsvF3AjkhD2yiUbc1ua\noHZs33EIZiMK13I454e2868MbU/91C7b4+HQ9uG9tqde0KxfmoCpt9k+mtm+Mob37b22b/2cM7R9\nK0eS0xJmnyrM1RzeskVuyyB19touLqX0ZjRjF2OmXhSXxSX5N3trBklOExXFNkBYEttOW5NfNkg8\nTfmORJhqQ7Jx9uPalyOccvPzeu7v/AogdbT3s4R3r7iSYGWTM1JbBiZqW2O1zZ05dGbPIJkIMdcd\nUlvL9OeeSVKRvkmja5Lms4uO0hTG+wQ3yvL+xyPUwKQ026bdzGO7MYV8AMBkqcNyq0LRDTCUxjZS\nKRGyYqYKbQ7mG7zZnOWp2iLXuxOs9sqUnIBrN2YYn9smTgwcK2G76zFV7QCwsDRGvjKgv1HA3jZJ\nDw7QG658DmwNhRgMjWFq9EZOEu40JIUUbUmXE4bkvqa2PNZpOztR3zbl92SfxzQnNcaJJ/FZpi/J\ncCg5XLlf46lixe2//3ffH+H0Hq7c/Lye+y9+ZadGXCXZY7VGbo/0LttIHe6O7ZZJUtxr21pzSByx\nbXVN4upDbBuawlhmW0M8EYFvUJ7pvHe2r88yNrdNkqp3te3UTZIjmW0tU6vxEpS517ZKJUxIm9Iu\njSH75WkufbjtJLPtZrbdbJjwIMutMIbvR5ua5V/9JwRL+6+uc1/m5ts9OP4bmzSeHqN9RDJ9c02Z\nMVa7ErL5hIPdtiguaUZfaRKN51l/ykVpGL0ckdvss/KxCrELVj9H4Z5m/JU2ax+uSuF5w8afkNlj\no5dj1p91cFrQPlbEDiG/pmDRoX0spV0v4KzZ2O0cdAtsn4sYBDZBw6MXlchtmeSf3qLq+aRaESYW\n60GJL53+PJ+++pPc2RilkA8wlaY02cX/6jgqgcaEJpn3WXl1GrOvmL2S4FfKDM6mjFyB7dQjvyrd\ndVEeUsckLqRMXJBX+PZBhT+ZYrcMSrdh/MI29z4zgj+W4jRN8msap63RhqJ1HFTfoLAq2zi5jqZ5\n3EAbJmOXYgY1eWy2+tkd2EpK7CqS3A9awl+8ZfXhxK/dZvtHDtM8MTykHowrqjdjGqct7I5F+W7K\nyO9eJHr2JBtPumgDxt4M+cYX/xvO/L1fI/bAHOQo3dW88ht/l7P/+a8RVsBpiu3iPYPyXU39UVNs\nHy/iBPJYn961aZ3UtBsFnFUbu5PDaORpPBPvtb1p4j1dZyQ/+N62pzqEXxkj19A0TrJj2+oqDrwR\n0x8vMziXUlqADp7EyrqKqGyQWhZxXjP2usaMYPvoXtuTf3ibhf/oKP5YSq5hkl/VuE05X9o+CUbP\nwNuQp4xcJ6VxygIUldspYTHbY/alv6F0LyH2DNb2aev0vrxDdmfm9cFf/q/k1UwNtxpUIj83AskC\niAoauydz4xJP9tyCWrrzimn1hncfiSd3fEachX6nElEZ1yKUk6JDA2fVRqXy6poUUtx1k9QC67EW\n/W6OYnnAdKnD3RfmGXlik9aLE0Qn++TzAZOlLo2+x2y5Tdn2MVTKZK7DQr/G5qBIlJjMlba526qx\nvl6BVHHowCarzTLV4oD11SqWF+PlA/y3qjLqfDSR/b6DIYaTYC67RNUEY2Bg+opoSnr+UVmsZqTw\n50PsDVvuEBTk6gaDgyGEBk5TBsMakUwstlvZjlV2IHg/cUwlsqWhErj+P7w/5PS9XDu2M5pxQdqn\nVSodfGbWHfl22862wh/bZbsr3wNa7bVtxGrnbTu2AxNnTZLUEk+T5FO8ZZPEfYjt5+cZeSqzfWJA\nvuAzXuyxPXC/p+2F9ghra1VIFUcObrDSrFDK+2yuVrDyYntwrYrdVfjjCe6myeBQZnvJJRrJbA8U\n0fTbbAcK/+DbbG8aDA7vsp19Dt5u+/7ZSmprjEg+p4u//o/xV/bfHfK+3ENW2SfQ6oK3IW2RRgDu\npsbdVCR5LQ0QqVw0opL8elzU5NcMnG2DynWFt64oLiJfFCWPavcn+EYFaZ90Vm10YKJ8E6etiAsp\n8XiEN93FP+6jDU1/tUj+ikv/VoVb62McOL+EZaRUz6/jeSFPTS1xZ20M09DUB3nakUs79Fjo13hr\na4LFi9Nstoo0/TydQY582efk4VUWVkeZqnbY2KhQftMh/2KeMJSgo+hkH12Kd1Kp0p6N3ZKR6qav\nyK8oVFuyDpJKjDblIM6q21IEv25QvCv7whigIoPUlO4mNKhELsrultRwGqG0mysNuabsa9q9H6SC\nv5jr/um+1ZPPceJJDbG3ITkWcUHjbWS246HtqKzx1g3slkH1LTkELN9GvoN32+5k4fUp5Fbu2zaw\nu5ntMbE9OL3Xdu92ZvuDu2znA56aWmJhffSdbV8a2m733R3bd1bGmKx02NosU9owt44AACAASURB\nVL44tK0SCE8NxHbWLZf2LXLNoe3CkkJ1pOJix3YbzIa90+BRXDBI8lomkty3HSGHgLEiqqR4m/JE\naIZyMVapwtmG/OqwJHa/rf15QY5h7KJ8IfpTMlU2rGrCqoyvH39VU7kT420qqjcS8qsG4Wiyc2HJ\nr0D7qCbxpMRIW2C3Dcy6jeVLjbNKISmlhLOZCi3fIKmrqb7i0G95TH7RwXqkjXYTnA/WSbyUkXKf\nu+ujrF6doBc4HK3VqQeSVNK8OEaUmCy3y7RCl7VemU6jwKHHVzgw1mTc63J0rE7Ojrm9Poa1ksO1\nIpx8iP/BLsGHOoz8uwLRhHxMte86O3thKjDwJ+XFAgVhVaZEo8C76zD+SgopxNUYq68YTKWUFxKq\n1+Tfpovy9rFLMW5dXoxyTYOwIndTqQVjb8r7SB15tB5M7r+npx/2pWIYuyQz3bpz7NgOqjK+fuZb\nMeW7Ed6movZWQn5laNsMobAiQ1ITN6s4MKUZwqzbWAOIXbEdl1KCuWF/cOW2BPRUXhPbE1/aazt1\n39m21u9i+7GH2zYfYrvy+aLYVpqRF52drkHlm/RnhraDUbB6hnS83slsa0ju255OKS1mtlOFLsVY\nA7HtbemsksIgqMoTQWrC+OtD23affRtQvy/3kFMH6qflFdLqy9aCs61ITWmDbB8yULFBVIa1gwqr\noyndysane3L3Z8RgBDCYTMkvG3ROxDLR9lxA0nZQgYG3LA0XOqcxBwbpz9fh9ghxHvI3HDZ/qk+y\nWcAqh2w3iph9gyA2mRtvshCO0W17bLkFeoHDT5y8xBc4Q2O7yOGpLVKt6MUW+cqA6XybghXw1a+d\nI39ym/ZWgWOH19nwQtY7JZwXSnRORWCn9CcNjI6Fe9OhPyNle8pKoRqSBiaqZ+5s3WhLLrQDW+NP\nKcyeJG0ZEVgdReuIITm6i47Ed1qajSel7CjNpdCVfeOoIndsm08ZaKWJi9np/8q+e6L7oV+pA42T\nJtp6m21Hnkzqj0hedVSClY8q7LbYRsvFllS+vkYIg6kUb92geySz/cQ72O4bhL8kthNXbG99tk+y\nUcCqfG/bnz11iT/MbB+crAM8YPsr3zhH4fiDtt1vl2idka0Tf0RhdC3cGw6DqV22R0JSf6/t9L7t\neY0/ndmOFCrObB+WXGj3nkNU0Ghzl20nsz0Qx1YP1p810MbQtvHFH6yDd1r78w45BRSMvxFTvZkw\nck1TuyajbMoL0j7Zn02xerJH6nQU5QUJFRlMpbSeDCSPwpAqhLCq8ZYtVKBIIwNjYGBN9vE2slfo\ncojdUmytlam9aRCMagYnA3SiqF6yOPS/K5SVklRjwtCi0ctjuRGn5tfofHGKan7At5aP8sjcKh85\nepP1TpHtgUvejhh0c7zwndOk2uDR87exvljlyKENNn9vficlrnMqglRhe5HcvY4FqOdkcKrdMJj5\nAxv3hotZkG+81JQ93ng8xLBTVGBQvWRkkxQMtJKUr87JiMFcRFSWw0CA0h2YfCmgcM9g4tWIkesR\npq+YeCWgdlGiOkt3YOSq3IW9v97bdd+2fO4TqtehdjWRJ5SLA/Lrmv5MZntLthqqt2KJjpxKaZ/b\nazsqPtx2fm1o27lv+6KB/zbbR/5p+o62/c9N7th+dF5sb3YLNPve0Pbzp0i1wZlnb2P88QhHDm2w\n8fn5nZS41pmhbW8rhdEAdX5oe+53rKHteGg7GRvaHnnTwFsX22S2uycy26WUua/Jvl7pLsx8s0dh\nyWDilYjqrRjLV0y95DP6hmxflO5A7bLep1e+ffphqUTqjTeeMokKBkYM5iDF7kHjtEWUR/ZHC/Lq\nh4bmcVP6/geKia86uGsm+XUZhRTMRVh9mHwR8lddtK2Jtl36UwqnbZB2bMm2cFJanxiQWhqtIV8M\nSHKw8aSHUjD5dYt4sYDnyKPgW28eYOSzKzT+cJZCLsRAc2F1nn4/R//CGFFq8MlT13j2g2/xJxdP\nc2VlivGfX2R74OJ9Zp2588u0V0sc/jcpWCmeG9H48QGOGzMYOAQ1Tfk2bP7cAH8qIY0MVArT302w\n2wrVs3CveLhbBp3DEFQ1aSnGacthj7tsM/1Vk8p1RfOkDC8de3WblY/kSFzJnm2esqnclMkqnYMG\n08/H9GaHNd7vr/d2qQRKCylrz1kkjsKMNNYgxRrA6nmP2IPSncx2H9DQOGVRXBLbk1+xcddMvM29\ntqdegPyVoe3erNjWbYewrDFyCa2PD6SELrOdWrD6wSJKwZF/pYkXiju2r71xgOLPrdL+7Zm9tnsu\ngwujBIkptj9wbcf25F9fkBuRH1tn7jmxffS3ErBS3FxE/bP+ju1wRFO7oln/RR9/MrOtYf5PwqHt\ny2K7fUy6dNNijNMa2p75igwpXn/GpnQXygsh9z5V2LG9fdTK2qUV7cMGkxcSerNSbbFf177cstCG\nNIOkliZ2oXPIINcwstIVSFyFP66JKilRwcCtKwnnjhVxJaF0LyZxc6SWwt1ShJGNOYCtc0r6+vsG\n469oVj8aM/Vtg/URAwUY6zni0QiqMe7dHGmYY3DWRwcmJrD+kYTCeJ/1lSp2IeKRswtceeMgp37m\nLm/dm6JdzlF0A+LXqwRjCalWfOfeYeLIRAUmU/N1ri9N4uZDegPF+sDGKEas/HJM/rUS3baFESrM\npiKYS7ADSP5qg8rnavijis4xjbtp0DhlyLZE16A/F2NmVRdWX1H6ro3dl0AZ0PQnDNonEtwNk8ZZ\nTfPRCnLyAeU7UnqUWorUMbB6UD9jk2tAUIP5P2py9QdL4S/c0gYMxgyZbjFi4E/I9Gmrn9nOKRk6\nWk6Jigp3y8Afl/jNuJJQXI6J3Rza2GXbh80nFHEhwewbzH49ZuEnYya/Y7AxouRMe819wHbvqaHt\n23/DoDDe3rF9+lxm+xcW9tp+rUowLm1u72rbF9tLf/tttrcVwWyCHUHwC01G/vUIvRmD7hGNu2Gw\n8VROgoK6BoO5BMOXFyJzoBi5YOM1UlRiYCSa3uQu249pmo/Y3LdduS03FYmtSDLbzRMWbh0G42D1\n9ufdxvd9h6yUmldKfU0pdUUpdVkp9Xeyt9eUUl9WSt3IfhzJ3q6UUv9UKXVTKfWmUurJ7/mXaIjK\nMPVSQvNsQlhN6c1KZF5Y1XQPSjqb2TOycpYswWxZkVu3aJzOQYpMX/ayqQwtGQ5ZXDSIaxGrn0hQ\nxZiNZ7I2yoN9kmICvsHcF0zJDD7lU3rNZeQVizQyyI34RJfLuEsO0cDm+uoE1mSfm+tjkCp6dyqY\nSlN5bgNta7p+jvmRbdwLBR55dJGl6xOcmFvH+m6ZoJ2DbYfqt13SNCteHw9IPE34RDcrYIdWO0+S\nA/+ZHubAINfUuA1N8GSPqJpg9kxGLktjh9OSmsvEUUy80GYwIYd+I5cMqjdSam/IAaeK5Q6h/rii\n8bimN61Yf9qmczSRYCXI2s7z3y+PH9r15+IaQMse5sx3YrYfiwmrKf2Zoe3O4RQzzGynao9td82i\neTwn2S27bLuNzPZdk7gWsfAzoIoxmw+xPftHJsFoZvtVl9rL36ft83ttey/ste18M7PdfAfb5zLb\nhtiOXUXwZA+zb5DblrFhwVO9rLxTUX1L7VRZREVFlFeMXvXpT4nt6mWDsTdjRl/fa3vrrNjuTyk2\nnhravl/WuV/Xn2XLIgb+rtb6EeA88J8ppR4B/gHwFa31ceAr2f8DfAY4nv33y8Cv/2k+qrigqZ+2\nULHUXCbFVNpIUxh7TWG3ZT8u11D4kwnONgQjUsvZPiavfnFe9pWUho0PaAaTmt5cSvGaA4nC2HQY\nuaTIrxrEWy5WxwRbs/TjcgCmBxads4EMpowMosAiOTqARztyUNazqZX7eG7EwdktjEkfz45ovjZO\nrjZgttLi7vPzdE6H3NwYwxrz6YQ5+k/1GblgUzjQpvFMROzLlol3yUOXYuItj9ELBu7pbYwV2ciN\nWjnsjvTiNz4SkHulwPwXpdNp63xM7bKmcyRlMCktuXf+enknrD/OK8KiYuu5BHOgGH9NU7plUL4p\nnX1xIWvZNcFumAwmZErF1mN/qTpD/v27BrGd12w+bovt3i7bidi2umLbae6yXYXY1bRO3o/WlBsW\npWH9Q5nt+ZTyRQcVGxibMuXcW99re/nHZDajHlh0zr2L7a7zcNuv7rXdfmyv7e75PpU3nQdsu1c8\ndDki3vKovTa0bcRi2+rK2cf6Z0LclwtUL8mhfv3ZmNoleaHyJ8T24qdyYrucPS2PmGx+QGxPvCq2\nq9fA8B9ie1wTjOh9u23xfV+QtdarWutXs593gKvALPAzwL/Iftu/AP5K9vOfAf6llvUCUFVKTb/b\n35FaUh4U5zXuholKobBgMvlSSukOdOYVky8PiCoJg4kUI2v9nXohxAwUKlKEFYU/FdM6Kae23G+t\n9FJ6BxPcNQura1B/Vu4IVaJIp32Uk0CqUIWY8lULHRm0f7yHt2CTdmySliODHU1NoTZg68oYQWhR\n7+WplvvcWR/l0Pl7BC2X9U6J/ONNzh6/R9B08byQ9csToBXbZ1IGNyvMzjXQoYG2NDzXkpbW6yb1\np1OSF0cYf1Wz/REfTI05QArl13KgYOmTCkwo3LLpzsmI9bHXNVFZyoTsHgSjKSqWkikVyFbH6sdT\nBpNgDzRuQ+HWJfWucNckcXVWt4kMjv1Lsv48XIPYNnbbTmR459hrWiI05xUjN2OiSoI/LrZRcOj3\nmkPbVbG98hHzAdud4wm5dROra7D1XJzV6j9ou3JFbLd+ooe3+BDbo322Lo8/aPsD39t2+2QytB2J\nbfVMCwYmpVsmjSdS0hdGmLigqf+o2LY78iJ033brRAKWpnjDpjcjtqtvyeRqlcr+ejAmzs1A79he\n+YTYtnyZRv8w29rORlvtw/X/61BPKXUIeAJ4EZjUWq9mv7QGTGY/nwXu7fpjS9nb3v6+flkpdUEp\ndYFGD29D4W1m6VexIrFh40kDy9dEZc3aBzwqb1nkVw1ydTkE8W7V8TYkh6JzOkLFEsRihDIZunQH\nmbmlZXTR+OsJdt0iGNEYvsK96uHecKm9aqITRViRj819vojxZIvqZfmzOlGok116m3lG31QE7Rz9\nmxW2Fquw6rLaKVF9TQod42/VuLQ8jbti027mJT9CaZyJPnZPsbxSwy4HWPM91HcrYGp6s/Lx9A/G\nrD8L879lSZG/Adun5U4qzeat5TZMghFN/1TAxHdNetMSZB7ORLROJnKhV+DXpCFm7I2U0nWL/JqM\nnNeGpLqZgYQtHfm9gNFLGqelpIX8L+F6L11n72+v7XWxbYSZbQfqjymcriaqaJonrD22oyIEkwW8\nTbHdfiSzfTezbT5oe+qlCLtuEVZ32b7+oG3v20WMJ1pUL8kVarftA18K99jWa2J79CX5vck3M9vL\nb7M9vst2KbP9vNjuT8nH0zsUs3Ye5v61TW7FJrWHthNnaNuvaXqPBhz4gpwr3bfdPiG2lYb+hExa\nGX99aHvzCbHr1iUZLyrJMIvRS9LRe7/har+tP/MFWSlVBD4H/Jda6/buX9PSj/193V5prf+51vpp\nrfXTRqlAd17jbaU74+qLS5oDX/IBKCwrRi9H2B15tHZa8glf/bFpKncinFUb766NNjXbZ2VsTfGO\nyWBKRoSj5A586dOaaDwmzgJbwopmcCAiKily9xzU421U38Qf0/gDh+iTLbwVi9S3CPsOZjGm/mkf\nw01IxyJG5lq4mwbdtkdUgl4/R/dYjGFIept3O4dRjkgCGZ1eXNTYXoRlpQTdHNVb8gJRvKdIqjGG\nb6BrESsftYiLKXFRkxZkA+z+ftn4G9LNp7Ztts7JxOjUSzAbFipR1F6Xb+jeXIrpK7aPmbgNzdTX\ntwRACPnNeKdFNcmZaAM5SKr8WXX88K732nX25/baPiC2CyuZ7WXNgS/7JI50qY1eirC7me222G4e\ncyjfjffaPpfZvm0ymFTkVzLbESz8lCKakLIwyGwfjIiKYpuzYnswkdn+0QdtL/7H6UNt+6OKXl/G\nQhlGSnK6h3dzr+3SnbfZvi22C0t7ba9+2BTbBU1aTHbK2lRkMPHK0PbSxw0GE3ttj7+U2T6QYg0y\n23XN5L98E8gaadainbmDUVGyxP0xCarfj+vP9GEppWwE7f+jtf6d7M3r9x/Zsh83srcvA/O7/vhc\n9rZ3XNqQi+72cak7HLkioSHLP+IRlhSJC51Zi8GEIi4ndA5rcnVFf0az9HEJKokLGrMrbaNpTqYu\nSz6APOJFlRSnbuIu2VCRUp8Dfxxi9E38p3ugFX7fwe4oOWS57WJ+o0LyWJex5y2qLzgkfYvCBY8D\nv2liOgnNzRL9+YR8MSAqayLfwtk00alBNLDxj/m4Xoi17pAe9GmckWnU/noBs26z9ClNemhA/yNd\nCjccqUfetiGF6hV5xTe8mEN/0GcwKy/xKx8yCcdjcnXJxNUmWC2L2a+nOA2D5hmNVnDsX3XIr2r6\nswnN05BcvYFbV0RlGIxZmL6UGtYfdbC7KZMvsjPu/S/L+vftGjLbS4rtExKfWrsMuVbK8oc9ojxi\ne15iNeNSQudQZntas/xR851tF3fZrma27zlQjVDAsf/xTbH9zLvYPtNl/NsWte+I7fwrHsd/Ldyx\nPZjLbBcfYvuEj5cf2q6ffbjtwYf32lZJZluJ7aO/1RTbSv69O7ajzPa2xdxXEpyGwdaTGm3Ayf9l\nhcKypjeX0HwEvtT5v3Hr8hTQm7J3bDdP2di9lImX5cB8P64/S5WFAn4DuKq1/se7fun3gV/Kfv5L\nwO/tevvfyk6lzwOtXY+A7/CXSMK/GQAaWsehsNiTV85UXu07h+VHmTUmE0PcLYXTUhixorQApTsK\n7WgK9wzCijwObR830LmU0i0JDgpGE1TTIcmn9CdtjEBhXC9IF1HdIS5qyVota9pnIsJ2jvpHQxJP\noXIy2WH7uEPccshXB9gNg/hihXAqojzSJ/94E/f1PPaajao79DcLFBcVycDEnuuRRvIlmP+TiPxE\nj8LLecKGS+9ohHNDArorN6B1QkbSGEsut/66h90wMQcGesrH7JoEIykz30xQCeSXFUufkM/L+Msw\n/mbM7b9Wpv6UlEWVb8GtXz1PUNMUljVBRbYutk/Kk8P6MxZ+Tf2l6tT7c3ENYrskQepGInnf1iDd\na/sQBCPSPWrct13fZfsulO4+aLt1LLN9e5fthkOcT2n95GN/KttbHw+JCmJbJbB+vvKg7Zmhbefi\n0HZvo0DlBg/YPvjFkPxEj/yFPGHTpXckwrkutkcv6j22b/xSFaduYvp7bR/9N21UCvlVxb0fk733\nyRegeiPlxi/PsvWM2K5chyO/9qtD21WV7UmL7Y0nLYKK2snR2G/rz3KH/CHgPwQ+oZR6PfvvJ4B/\nCHxKKXUD+NHs/wG+ANwGbgL/B/C3v+cHFbIT1G33U4r34O5PlyQ0JYbKdXbyUk1fkV+VPaH+lKZ8\nRw6xugcgLsrJqtPWxLWYuJKQayBB9rOa2mWw+pKxOvq6wfqPh4y9rglmIqxRH3u2JyV4BwLc2S7u\nPZvyJRvtm3TO+XhXXfSHt2k/N8CshJQ/VyI6GEjbdtuis1wmeKlG93SANVAYUz6FiR7BKJj5GOuV\nEuaaw8TzioWfNhn0ckRFUF6CXQzx50OK9+SbsnQHGqelc8tpG7LNoqD2NRdzoEjdlM2zFmYIvTm5\ns40qmu6cwfozpoQ1tUyKS4rGkwmmr7BbirAsTxbakGjGJCfhK60Tf7nujvlzcA3yGB3U5GDKDKGw\nBKsfsInzcoe7Y7uQ2V4W24Mp2bYzosx2XkY4mQN2bLt1siENmtE39Y7tE/9Xl7XPhoxefGfb3uIu\n20+I7fRj27TPZ7b/rdg2fTBaFu2VEtF3a/RPBJjB0HZvTontV8X29Nfhzs9aQ9tugl0K8Q+I7dSE\n4j21Y9vuGDvbLLWvDm0vfqaCEUJvdmi7fdCgfkYNbd9T1J95m+3pzPaiPH3kV7NKlX269mX8ZiU/\no0/8jb9H66iMerEb8sXqH0gwuwZ2R/aCE1c2+qOKhOWU7kLqKMoLMWvnTSrXoXNY4U/GGAPpcivd\nNdg+EzP+XZOtJzXuliH98T6MXI/YesxmMJliDhQc7hPXXZy6zIsJ5kOUqdE9Kce7PwpHKfCu5egf\nD8lXBgxWi1Summw/JaGruSWbYCwBN5Uqihty+NKb1aS5lOJdk+6RZCepypjySeo53A1zZ2sCK8Vd\ncrA70DkeM/clqTde+5DcSbmbiu7JCKNn4q3JeKra1ZT2QQO3LmU+7VMJo68YhBW1c9rfOZQFngdS\nXhiMppiB4uAXArSp+Pqf/Lfvx2++h6viTevjf/O/pn3kHWx3ZS84dXbZ1pltU1FcS9h4yqByQwZ+\nvpvtXN3ADGVyRu1axOa5d7ANBAeCP7XtkYsGjeci0JBbcgjG46Ht63Lgd9926Y5J5+hDbK+bDOZ2\n2b7nYPWgeyzmwB9C7BmsfvidbY9eSmgdldzvsCS2x142CEb+dLYvXPhfabeX9t0j4L7c2g5GTFSi\nsQZQuSx3dyoBb8mkfFvuIMa/tUZ3Hoke9DRHf6sJgD8GrUOWTKQ+La3V5evWTjbw9pkYZ8uk8bhm\n5LIiKmr6hyN6sykLP6slnCiVBLSo6+DUTdITPZyWovZdB923wNTMfg38eclstdYcjBiqFyRJy+xL\nvbC1ae+MzLk/XLJ426JzOGEwqSkc30bFiu5ZH7NroGohaT4lbjvk6oINK5XT88jAn4kIKxpny2T9\nWYPYlVP2yg3oHo3J37Yx+4rYg+nnQ4KyIvGgdqXPYEJjDBTBiNqZWqwVFJYMiovSVm3EULptQAr1\nR1zufdL5wUL4C7iCmiXt0n2oXjL22C7dkcfqiW/stX34d7ugwZ+AzqyZTVuX0q93sx0XNL0jEb35\nlLs/96Dt3FZmuw2jzw9tz3x9aNtcczASdhIQH7A9F+I0zJ0bjc7hlMHU0Hbn3IO2nYbME9xjezYi\nKovt1Q+ZxLnM9s3M9p2h7dlvBvg1mRtYu9jese3X1J6J3Du2b2ct63fEduNUjrC8767FwD69IKtU\nyoB6B2LCyrD7xu5KH7rVg3t/dZrp78rYcHfD4NZ/MEKSU0y8EtM+lspI8LYiGJEpyvNfTigtptRe\nNQnHEoxA0TiXyF5SrEjHQw78riRCWV0Db91g6qtSu5isexLUM6FQnlQkLP1oljM841O+Cb35hNYj\ncgJsDhSDKVERjKRYWzbhRIzdMglGNfm5LunBAbVfL+BsG5Red0lmAowVFxUYOJsm/lQsDSDLDu4W\nMlE4VaAVuYa0kraOZRdQBZUrFrltmTFm+tCbtmmeTZl8OWLr8Tzakt/bm0058tvbuHXN7B83CEZk\n8vRgXDH5UsD4Gz5JKaV7QO+EqL+/3rulUth6XNE7GEsZVyx7nHZXmhzsHtz72WmmXhzavvOzRVJH\nMfOtYK/tqsbuaA58KaG8kDJ64Z1tH/wdtcf2xLcsYm9ou7/L9vInh7YrN6E3l9A6PbTdmxUYQS2z\nPSm2BxOa/HyH9MCA0f9NbBffeNB2MBnT/PCDtlUqtq2eYvuEeNX3bTdlSIXpQ2feofl4yuRLEZtP\nl9EWlG8penMphz/Xxm1oZr+wMbQ9oTjwxx3GLgYkpZTOoR+kgHdf+/KCbERyClq9ZFG9laJNGcQJ\n0u8fFWHmGx16Eyb9aY3dh4Nf9OkcSVn+qDz2GbG8n7E35QCwO2tRf0zhbmtqr5lUr0Nu0yIuapRW\nqLrD4s+mTL2UEMyFjF2MWP9MyOibmiOfC7CalhTZGxqrKXclZt0miQ3q5yNGjzQZf0mwozRhNSV3\nvA0TAfbRDliyJ8jhHr2NAoWX89QfdQiO+vRmU6zlHHZLMffVFKetqL1qohoyWmr7kRizaQvmqYj+\nTEpYk7wKu6fpzSpGrof4YzIxxe5B/Zwmf89k+SMWzXMJ7qaitBxjRIp7nxlBG3D7F0awO4qZ5wdM\nvhIxGLdx1juMvWSQayqqb/2AIfwFXLtt165JLnKuIfW0921f/oe/wqA2tH3gSwHtoykLn7H32J58\nOaV9VKoyth6XeIDaaybVa5DbMvfYXvhrmskLYnvi1ZDNHw0Ye11z6h/eEdv6QdtponZsT3+DbLCu\nJhxJ3tn2eoH8haHt/szQ9vF/1cfpKEZeF9u57b22/WmxHYymGIlMle/NKmrXQgbjSm5u+rts/4hF\n4wmxXViTOIWlT1dAw62/NY7TVhz8/TqTr0S0jhUw4nTHtun/oCU8fO3LPeTC2Lye/vu/QvkWdA7K\nJBCzr3buCuJqgrdkUVqUV8D6MzEqNhi9YNA4q2VoJ3JoMvKWpnnSwGnLBFozgPpZTfWKov5cjLNh\nYfUU/qMD2MihR0OMTYfCkoHT0tSfkDCibBIMqSvZq9aYDwt5NMgEkrLOCuNBuwmVNx1aj0aMvmTR\nPgbReITqm1g9Q4aQTgckgQmhgdE3wABv1dgJh+8cjznweVj+xRDztkc4G2I07Z065JmvmKx+CMq3\nDKIC+JMp+RWD6s2EtWcN2TfrSznU/FcC7n5Wpld764aEt/jQOpWgYkXpltRzDuYSnC2ZWXZ/xt6l\nf/L+CKf3chVr83rqH2S2D0hpodVTMn5sJLO9bFFakGD1rfNie/obirUPMrQdKMbeTNg6KxcYu62x\nAs3WOahcVzSefhfb9wymXuxy4xc9rL6xU1j9UNudzHZeDtm1l1J506b1WET1DZvevCYae4ht34Ro\nl+01I8s3F9tT3zDY/Cn/QdtacfAPNIufNqhcNwlLQ9vOtkzeNgN5kghLmspNaJyRYbDeWpYMGUD7\nhNgu3zQIS5ntukF+BYIRxcL/+Y/pr78/wulPtcx6j/INqbZQKRz5tz5GJKUquW3Fgc+z09GzfVqT\nX7Bxtkz8cQmwzi8rJi+keBuK+hlFblt+r9tM2TonqVL1D0YUr9u4m3LHrPnbngAAIABJREFU4V72\n0Dk51EjKCbEHW88mModsJiDOy8l4ftmgsGiSrHrEniYuJwQnBzL92U3RuRTlpNIJpRXbj2ii8Qh7\ny8YcC4imQpJSgvumR+mSQ/maReW6Ii1InvOhz22ROPKYtvizKWrRI3XAvZtD1yKKN2zcZZuVj6UU\nlg06h1NyTflGil1Y/hiUb4O3KfjH30i589MO3obixG92CcsySaU7rznxG11O/k/XCasyaHP2T7LT\n/UAeoUev7tNJkD/Ey+xFkiESSsbKyV/f2pkFl9tWHPpdqRJKHGie0XiLNrlNk9ZhOXzOryimXkrx\nNmHjKbkYxy54jZTNJ+UutvGc2PY25HvGveyhnV2283D9l1yZKzkTkOy2fc8kWRPbSSklODUgKWa2\nvRSVS8R2qugcTolG44fbvuxQuWxRfSuzPao5/JtLYvuyxdqn4qHtO2K7dN3GXbFY+Kwiv2zSPpri\n1oe2m2fSPbann4+pn9V4m4qT/91Fworsk/dmxfaJ//4iwcgu23m5IbN7YPX35wynfXlBTqt5STo7\nJne42jLIr2qigkC+95msjlDB6BuKsTdjTF++SGOvw+TLXZrHTTqH5fFfxXDgDxr0Jk2qbyl6xyJy\nyza1t2KMRN5nXJAx4U7DxGpaMvapZaINTe6Wi/bkC9g9FpFryP7qxEvgbliwmUMF0sLqrFno/6+9\n9wyuLD3v/H7vCffcHHCRUwPo3D0zPZHDmeFQnKEYFZfmriVrJXl3XSqXd22Zsstelf3FtfaHLXtX\na623VKIklyRbsoIpUQyiKM1wmCenDtM5IQMXuDmfc97XH54DoJszokR6Aoa8TxWqGxfhHgC/+573\nfcL/37cYe14aHVNLFmiF3VbojThOKUZ8zSV/NcTPyo2lflB+7rDos/lwkXhZFO1yL8fQcUOQDukd\n7JJ7waO5EKBjhtFnbJoLAU5T4WcU2cs2k9/qiSTnpIzj9oqwfcJm5omQ3pBh+64MuSsyIFN4Da7+\nTJbmo4eYfqJFe0yxfcImc92iOatIbGm8zfY7RMAPboRJSQnUDolQuj+auY3tmz9pY0f3wdHnYPLb\nXRFzb8DIS3D6332K8rGI7ZoY/87+ZYXmpE3h/C1sXwx2W+uClJigviHb125nO74l++WRFxVeyX5D\ntkdele6I1JIU+OyOsG1vCdvDZ338bKTodjj6uYs+m49PkdgyNOc0uVduYfuQsN04KGyPPGvTmhe2\n+zlF7qLNzJPt29juDsPGAy4HP9OlVzBs/cd3kbsqi+4O260PnWTuTzZpj38H2yWNavfe9r/93yf2\n5YLsp2XHkL0OtQWL1Ufj4qeX06TWNd6GdF5sP9xn+y5D6R6H1JqhPWbYvkPRz8UI41A4J4tx/WjI\nzX8wRP2gCIGrroXVVyz+hCF33Ue7REU3i/5QSO6KjFcWziHWTjGZgBp7QeOtu1RPGEyxz8YjGhVC\n4TXRrVUdW45lZZfycRerbdEdNqSuungVUVZLriliNSidsuge6NEdNlghTH/Jgq5F+W5Nd0ihPUN7\nSlIr49+woO4y+n98m9SiQ384pJdXuFVb3IVTogZ2/acdYnVF/pKmNyTDAk4XVt7vMPVVH2NB+W5N\nUAxk1HZN0Zh0WPxoCj+n6Y2IWtz8H67Tzyhu/kT+nUbhBy78tDCZuSFDSisfSNDPCdvpVWEbA9uP\n9Nl8AFbfFyezpGlPGLbuUnzw/f8LYVy4sAI5mt/8iQL1g3Ky2WX7xw3ZmwFhLGK7rvALmtxlYXvo\nTGRb5grbE98O8dZdKieF7c33ymBI4ZywTdfCRGxXDznC9oiwHauKeW5qVUxE1x90bmP7wGeBrsX2\nvZrOcMT2pHSCTD+hoO7y6q9/apftfvZ2trtDcOVnPGK172C7A9d/IsH0k32MgvKpiO1R0WFpTthc\n+7kR/GzE9igs/N4y/ayiN5Z4p1F4w9iXC7LdFXPSHWfY3FVNryDtLM1pUXVqLoQkL3tYffElK99p\ndgdE1h+MEaQ12Zt9nDYc/e0G/bwmuWZRPikFD7cBiWWX9Qcdmsf7FJ91yF4zuFWb6jHD8EuK7btk\nMsjP6t1WMxVCmNCYjs3E1yw6UwH1H23RHdXYTUvGO9uK5qxGp2WSrztsqB8Vk8nOiBy/gvmujJnG\nILGmWHvIknzuFZv2gYC5z4mxZWdUsX1Kkbppc/nfP0g/a5j8ioXblNyd1VfEN0XRrnBG+lFr8xax\nqqIzFdDPip38+kMxqscMh//vDvFll15BJBsT2xovekF52xbagdo9o/hpRWp5/9UX3u1h96A7sidu\nk7siCwwGGrOSA20cCkQbImK7dC8k1+Vrlh9Piv7FqpwKj366Rr8QsX1C2I7VIbHksnG/sF14ySFz\nHZyaReWEsL11t7iy+1lNrGSz9j6ZftNxg+nYHPiiEbY/1KIzpnEaNtox2J3Xs904HKI90d4IEuAv\ndHE3YhgXEuuK5Q84Ua0iYvuzAcqH9qhi4wFRYpv7D/8b/axh4ikLpyNpPruniJcits8K2/W5W9jO\nCdtr7/OoHjcsfMYXtocMnVEjm7eK2mPbNVQfmMBPq91TyH6Lfbkgo6TVpjUhfcKNGfHUyl1WNA+L\noIrdtKLJJRn7HX0emeU3kLumUYHi2s8qWrOGyz+fJVaVEdP4tgh79/PQHQ3pTQSkLsWonohgGhJd\n1dJDIWEuoH4sAC36AEFK0xsNSV+Tfs3SvdK2FK4l0XGN2xAVL2NJnhpkQffKCjSYvI8/IiDFX0sQ\nJiUH1x02hPmAWNWicTgkedNh7eEYTluJ4aMrOs6JVRs/H7L+sBR7rIaD21TUjocMnTNU7tAEcejM\nBLTmQjKXpE3Jq4C3DYlNi6ufTKJdg91TTH4jYO2DIX4aEhuKofMhYdxQm7fojEl3yiDe5DAR25MK\nP2NozArb+YvCdhg3OA2b1Ooe2+PPgFeVolr+srB98xPQmjEyaly16Gf32O4VoDsW0pv0SV+MUT8k\ngyb+UIizw3Y2oHEkYruwx3bmsg22YeX9zi7bxtO4ddENV4ZdthObMs69w3Z/VNj2LiQIdtguRmxX\nbBqHQpKLDmvv83CbkSN0THScd9jeeEg0kK2GFCRrx0JGXjFUTmqCBLQP+LTmQrIXhO1YDeIlyZ3f\n+LGY3DR6iuIZw/LH9OvZXpD2vHCfSn3vzwUZOPabVbyq6PXKjL/0ymbOuwQZGXuuHgWvHAnVVwIq\nJyXn3JwS0ZXMazESG4rR5xBB+1DRG9oDd+Q5i6HnHbqjmuKrisT2Xp9y/qxD7oxLfM1h7FkYetXC\n27YxjhisZs7HCOOG5LKNGepjZ/uSr4tL7sxYYNccekOiT0A2wPQsMhdcgmJAkDCYhMZq2tg9xcE/\nlEKiyvXpjmm647K7nXmix8Q3DdmrFp1xzdCrNspXxFddCq8pusOaWMWickKRvmnTnQwYftbG6io6\nY4Z+Xm40w2e7+CmxR09sKPyMpnLYpficQ/FcSGvKUDplEavtid7YnX1XhH73hxK2YzWIbwvbfhba\nY8K2n5Wx5/ohiG8L224jZOtuReGiLODaM2TPuSTWFBPfMpFZw+1sjz6rGHreoTMWsb2lKb5o0y8K\n2/kdtp+Bwuk9tpsHbmF76Xa2/RToSM7VqTr0s9LFYzIBpm/Ja3MoEEf0Hba7ioN/EIrsQa5PdyRi\nO2eY/0ydiW8achctOhMhQ69EbK+4DJ3eY3vrlCK1GLH9jCPStBMiPB96kL/Sl1Hymhj9+hlNp2hR\nfNahePYN2D7L7ul7v8W+XJCNDZd/cYjOqIxBAkw87WP3YPJrNeyOYuseEUYZPtPD6is2740x/rSm\nviB52+wli+6oIbGpqS1Y9IagNxJg9dXuTnnrHoOOKcaekTvm5n0WbsuQvOnQmNPUTsjCWbpHmuET\n6wanZmP5slA5bSXaGdsxdMWjM2LozvXRDng1CFMh/YIWv74tl+Lzor3sVBzGXgxRPZkk6kwHbNwf\nRyc0o1+Uo2piycErK6oHPTYetAhjMPl1Q3tCMf8XHcKYiNDYPTnW5i7ByCs95j5riNc08ZLsZmJ1\nRfE1n8phaXsbPhPQWNDomKE9YRj74nUqh21iVfHk2zEGqB2Sia5BvLmxw3Z3BHSkODb2vI/dh6kn\nynI6u5+I7S5WX7F1ymXymyH1+T22O+OG/NWAyhH7Ddku3QvaVYw/LRIDmw9YxBp7bFfviNi+V9Ge\niNiu3s527la2R4Vt44hVWJDeY9velht7b8jgVB3Gno/YvmHRmQnYeEDYHvmSh+UrkovC9ta9WWE7\nAUd/u0Z7UnHwMy1x/Tm4x3b+Akx9rcHsFyFRDklsSjHRrVsUz/k0Zl10zDD2XJ/GQWG7NWUY++I1\nKkduYTsUpmuH1A+W/OZbHkYa32N16UIIElCfdbD6ULo/KwMLRna823d4hJ4Ru5cTNn7KMP6spjsM\nM3/dpz1mkV4xaM/glRy8svyhO+Mar2Ix8dQ21UM2/YwidxXilZDuaKSXasuC5JXFMqp6UsvkXlKT\n3NCklhXNaQuvYmFsg9tU2BUH4xjGv1HB6lq4NYvkikxjdUYEsOSqYusOB7cqtuzENM35gNSizdY9\nCmMbumMhrfmQ9rgifQNasyEb77HIXjVc+0QcZcDblm6T8Wfk51fasHG/S+WIjd2VjxsbugUbHZOb\n2+qjFrGK7IiSG4rL/9U8XsUw+e0uyXXD5Le6JDZlIjBIDhbkNz1uZVsL283JiO0HC+QvsOvysXVn\nnNCLeu1POvgpw9hzmu4ILPxpncoRh+RaxPaW/Tq2x56pUTls46cV2auQKPl7bFuy0/XKCrcJ1Ts0\nYULYTq9oUkuKxswtbLeEbW3D+O++Kmw31B7bo7ewfVfE9rABLxS2b9ps3yVsd8ZvYfsmNA+EXPm5\nAvmLmiv/KHkb22PPymZJuxalUw7lYw5WT04XWCIdG8SF86UPOXjbFt5WxPYvL0jL2zc7JDYNE0/3\niJfkhjNYkL+HsAJJ5PspEUoffTnATyuSJXHibY8rEpsWmRvQLUrfreWD9mQBKZ2yKFzSBEkbPwv9\njKLwmhQL02uafl5z5DdLdMdCVh8v4kTec/UFmehLL1rohKb4nEOipOiOSfeBt2XjNhXxDZvagkVz\n1tA42Ue7hswlhzBhdh1yt+7LY/mKWB2cjsFtiHuwTmjsnmjaAvSLIRNfdrBbNv2cIbEuKRYT1yQX\nbUZfEsF8ty6phnglxAoUlq9ozodMfbVPL2ORLIVs3hvH2JC7GuJnYOTlHkHcUD6h8NOgkxqnLXk3\nuwPtMUOsKuCHMYvWtGLxox6dcVEVi1X3JR7v6ngd2y8F9DMyadbLKTpjinhJtEW6Rek0snz5GgVs\n3SWGte3pFP0c+KmI7Y4iuxTSK2iO/vtVumMh6w/ncLoi5Vmfh9p8bJft/CvSg98d03RGDV7Jxm0I\n25UjFs0De2ynrzlif9QVB5+tf3QXdl/yx7GGwa1bdIeFbavP7o28Pxwy+SVX2M4bEhuKkRf22C6+\nFu6xvalIbvpYgdRlmvMhs3/VJkhYpDZC1h9KYWzI3pDR8eEzPkHcUDkGQQrClLDt1uV13h4T1xsV\nIIbHk4qlD8XojBkRvd+nRqf78xVnILFh4TbEcXftYTnb1Q5aUuGNQT9r6IxJ5blbVDgdsTWKl2Wn\nW7pXoV3JJ3VHoDOsyN7UNKdE7HrtR8dI3bAJUtAZMRQuiB9dfT76PhsO9QWZKjKWISgExLfEay61\nLIW2WE1hVR16oyHtKSl8pBcBBc1ZRTjWl2m/+0K0Y9BJvatbUDxtMA4MvWyzdbdYTAVJQ3tSs32X\nwqlKbnvzXpd+zmD1Fa1Zzeb9DvGSong2xOorrn3Spj2uqBx28FMw+6UG2lX0hjW9IRenLTsYpw1O\n3RLr+LwsBrG6op+PnHnvjcmRLm7IXok837YGO+Q3O5T+DrYfEbarhy1aM5owJg4hnXE5YneH9tiO\nVRTZa7B1t8LYiiAt/nGdYcXIaZ/6jI3dV6z+2DTpa3tsj7wikgD1hT2221OG5qFb2C6BjsHoC/7r\n2O6MCds70qCNOUUw3sfuQOnBEB2LnGyUeNllr4nrR+41R6yUbmX7ToVTceiOaLZP2PSzUrxszWhW\nH/WIb4lmh9VXXP7HHs0pRfmoQ5CE9JLB2OKlF8bVLttuA5yGLOq7bNckfdMeV6y+LyHDNnGZ7AsS\n5gfPwumtjJ0KqHEgtWoYfsXQOBTQK2pmntDM/ckmyTXF9FMd+llD/qrGT4luxegLPTojCm9bsX2H\nzeQ3NKMvBIy+3JUjkwK/GDB0sUe8bOiOaFKrispxRWNWdDC6RUPmusGrKvKnHayeBaF0MwTZkOYB\nRayhSC8bRl+A7EWH1KK0LIWeHImUD/ZmjMacfDxWVyRvOiSWHOmDzIsxZfWYwc8J1CqQTpLQEx+w\n1JJFZkmARUl1O4wbimd9tu60CRMap26T3JDFfe4vKix+LEMvp3BrFtsnLWaebJPYVDgdeaHs5ORj\nVWnRS98EP2vojmn6eUP6pkXxbJPpr/TxM4Oi3psdt7G9Yhh+1dA8GNIrama/HHLgc2US64rJr/fw\nM4bC5VDYftUwfManOxyxfdJm8uua8Wd8Jr7ZYPVRGTjxh30KF3t41T22S6dsKoedPbZvyIKbP3ML\n2yeE7fX3usQieduRlyB73iG1JK2m/cjIwOqDvRGjPWnInXfEf/GGS3LRIUgoQlfYbs7pXbYtX5G9\notAxmZZLLe11SQHEN4Ttya82WH3U22U7tSbpuMlvdGnOKHpZYXvzHoe5v6iQ2FTYfdlE7PxuY1UZ\n004vim5yd0zTLxjSNyxGvrrCzBP9HxzHkLcjrADGnusSxkSOsLZgceDzBrdmUV1wuPrzI0x+ZZul\nD8bxKoqtuxTD5wJq8xa1eRkKmflSGasPaw/b+GmLlUfjpBZll+mUHW5+3KVxQOFtWaTWQ8IYu+pm\nqRVF7Yh0R1ihHN8Ty464MVxySC0ZvG3pJ67NWzQWQjoTRhywA0lHOF0k17wqAvBBEnpD0igfJERX\nQwUQq1sQ13glm8Smoj4v+UNjiz5z+Q5R1bL68gLOn4flxx1pjG/aGBtS6wHahqWPFgBoTctYLsD6\ng0lJ59gyw59ekQECryw7hu6wpFiSK+K2oEJYfTTD9klP8tuDeFNDhTDxrTbaFc5r8xazX9S4NYvK\nYZdr/7DA1J9eZeUDMWJVRelui6GLoaTIJhzCOMx+YVvYfsSmO2Sz+NEMqUVFc07U1xY/FrG9bZFe\nCQk9czvbh+WEaQW3s529IL348ZK0ydUPWDQOhXTGDZ1xjd0Vtt02hGlNck3Rmt5jW2kRgY815Pu6\nDQs8TXzTJr6paMztsZ2/Jl1RO2ynI7av/sP0HtuOIVkKMBasPxgHoDUjbCsDKx8siFiTBb0hRWYx\nxO6Jsan2DN2iTMgmVyyyV2R3v/wPptm609stqO632LcLsrEUw2cDmXzrwNYpF7cFWODnNJf+SQHL\nF9Hp6af6bJ9w0J58bf6S5uZPDaG0+PFtn5Q+xMa8IbFmMXQW3JrF1Nd7TH2tRXPSRhEZQY5JP8z4\nMyFGSV45jBvpOLCk4bx6QoDNXeuTWTKYdEByRXYA7QkwtmHmM8uiZ5uEzDXJ2YaZkHhJjkv1eYvk\nhiK+JdqysYZY9aRWxY04VlO0Rx1Cz1B8VXwE+zlF5STEtxS9sZDhlw1uQ7H4UYvZf/0cdh/GnvMx\nCpKrht5oEKUkDLkbAb28YfMB6Ixr6oc1/aGQ/GVJo6Ck9cpYMPHNBtOfX+XgH9e/259pEN9HWAFg\nDMOv+oSRkFTplIvTRtjOay7+t/NYvqI/pJl5okfliI32wPahcFFz4xPFXbYrxxSFi3qX7eHTktOd\nfqrL+f/5UzSm/xa2LRnZv5Xt9rihfJectvKXe2Rv6j22Lyta08L2mX/zKUA2FplrkrPdYVsF0Dig\nSGwqvG1wtlzcJrSnbme7U7R32daeiPHfyvboC/JzLH7E4sK/+hR2D8af9SO/TSOtcxHbmSVhe+NB\nKWjWjhhp77u819vWGRG2J58sM/VXm3iV/ZlE3pdqb4mJGTP3T3+FxKbs4FoHAqafUDQnbdymVJ27\nRYVXMbSmYOyFkNqCw8jLXbrDLn7SInQhd73P5v0e3SH5Gd2WIntNUzkmKQDtiJfX1j07Ls4w+Q1N\n6R6H+BZ4FU19XgZKpr8SUDvo0hmRliS7p+iNBTjRiGdi3cLpyLGpM6aZ/euQ5celIpxahfYE9Ie0\niIK7YkUexqE3IqpUXsmiOxmSO2/jNgyNOUldZG7KTSFzAxrz0uTeGzI4UWN96Ang0mUh+cdYRZFa\nM+QvtmnOJuinFa0ZRe6yxgpFjzd3GZKlkNLdDl4Fctd8woRFLyP3aD+jGHqtx1efHDiGvJlxK9u9\noqI5FzD7l1Cfc3Ab0qLWHVIktgyNWRh5RdOYtckshVi+oZe1CT1IrYeUT0irmUHYztwQj76/je2F\nz3RY+kiKeAmcSNrydWxHxbvvZNvuyfdpj2tmvxyw/LiL3RNrscacol8MhW3HEKuL4FFvVNiOb1p0\npkJyr9l4NWlDDeNGpBEO7XlGJjZ29MvfgO1QUmuxiiK1asje7NGajBHEFc1ZReG8Rhko3S1spzYC\nNu8TyYKRl9u0puIEnizKfkZx47f/V2rt/WcauS93yCoQ/WOnZ2jPhEx9RaEdRXcIrMDQnJFjSmdU\nzEwbMw6dMcO1/8jFKwfUFxSdUUVn1KWXN9h9kREsngvZPiUuBMlV6S7oFSziJYviK3KUqs86JFcN\nds9QvlNaguwe1OZdxr9eZuz5AKejiG+Lj1dyXY78li/Htn7B4JUttk+6BNmQ/lhA5VSI01Ikl2yC\nuMHPauw+ZK8bvE2b7CWLeNkw+rSiWxTbqfwlTeYmBHFFkAtFDrMl8qPGEklSqy+28V7FMP5MXyxq\nOkpyyhasPJbCT4rinAoBJaeF5Lqiegw23iNdHNqBrbtcmuM25TvA6UnebvmxgWPImx0qkD5ep2to\nzUZsxyK2Q0NzWthuTSgyi9Aat+mMGVZ/BMKYon5QRe2TVlTsFbaHTweU74TiuUhC4Ba2x78lxbDN\n+1MkVw2Wb6gelWKY3ZWbwdD5Hge+2MBpK7zynv+i3ZEx437e0CuILdTWnTGCfEBvPGDrwRCnA4mV\niO2c6LukVqRzI3dB+Bx+zhI3n0MWYy/6pBfFbCLIhbTHIrYLcp1BKmJ7RbQxxp/p0xvW2F2EbRtW\nH4mjbUX5DmHbWLB1p+hpVI/B+nsdYduG1fcl6RRFCsEKhO1eYX/mLPbngmxg+JU25ROK3HmbWD1k\n7VGD25RZ9jBhGLoYEt+C1pSiGZl6Oi2LrVMeVh+GLoRUD0rl1e7IYls+ajPzhI/TNTQOanJXoZ+R\ntMLWA5qFP+vRnjKMfa0k3RauoTEvI9HNOcPNnxqicsQhVoPeEBhHpuBGXxKB8d5wiPLlTm4UKF+h\n+ha4ms6YgKqMOKAkSprqUYg1ZAQ2jCuqR8R2RzvSqtaYF62AuT/XUry8pAnjkb+aKzeK0JN89Pp7\nY3hbIoSUu97DT0lhpjssxpGjL/ls3yWuDH5arj1WVWy8xyWxLdfXmpUc9+b9soOKl/fdBuJdH0rD\n8Ok25ZMqOg2FrDzObWwXXxPD0taUojWzx3ZzysbqQeFSSPWQeM3ZHenHLR93mPnrPlZgqB/U5C/t\nsb36mGHhs8L2yIt1GvNgXENjQeM2hbO1hz3W3pchVoN+Xvjw0zDxTAg7bAdSJFMGVN9C9SK2R2WD\nscN29kZIY15uPM0D4oRSP8gu22vvdWjOSQfIsd9o4Gcitr0dX8yI7Rgkt7SwXZJCXfZGnyCpyCxJ\nB0WsbjH+dI+te4TtfvYWtu93SW5qOuOa5gFJF23dI2wP2t6+hwg9WP5gCmWkP3jxww7p6zbtSVnU\nYlWL1cek/9BpS6+mAVLLity1gPFne2zeZ1G4LPPv8W1puwnjsPyYS+leERxpziiGzwTRcUyzeX8C\np6G48F8MgwWpRQu7o+gOG9I3paexPalpHBIlrHhJOivqcxa9vCF93SFISS/y2ItdVKBwmhaF510S\nGwJUYkNh9cTpoz8U0liQKvTOuHWQDjEOhElDGDPYfUVz0kV7htakRfE0tCdkR+Gn5XdVPWLRL8iE\nUryk6Oek+NOYU9HuwbD2kCOO3VcNXkU0BEIPCuc1laOK7FWLMGbIXIfcZbGHSpT26XzpuzjCOKx8\nILnL9tKHXs/2yo/KQuq0JUdrgNSiIrsYMvX1NqV7LAqXZNQ+Xjb4KdkYLH8wxsYDYk7QmFOMvizT\nrdiGzXuF7Uu/kAEl/nK7bN/4Dra1sK1CqBxxpPvmmrDttBXDZ/rCdssi/1KMxIZMkiY2hW1lpL++\ncTBqibP/dra3787vsX0GWpO3s719MmLbM8S3FEHKJohDfX6P7ZUfiWH5EdtlYVvHoHBBUz4hIvWh\ndzvblv9Ok/DGsS8XZIyMOCbXxLXC27ZozWrcerSDOBfi1MXlwtjQz6rIb8uwcb/NzY9L/+3GAwrj\nyE4jtaqYfqpLYl2J3YyBfk7THbLpFTXF5x3a4wa3FfWJ1hTdUYNxDWE6pDlromIjJJdt/IyhWzRR\nq5s4P2RvhMS3ZJH2bpaxfIW3pfDTsvNNbBmGT/fQMcPyRwzxDYf4hrQv5a8E+AXN6NM2XlmRuSbH\nzTBmqB6TawqSUD4J3Sl5ofUL0XGxJG1D2pXrK93tiGLeeECQRKaTDNKLOqfwaobUTenQCD1p8G9P\nyM6nMyLN/uPPatqj+xOPd3VEbCfWhe34lvQfu3Ux7Rx/rr/HtiWFXKejsH3D5j0W1z4Rx2kr1h+0\nhO3JiO2vvp7tTlHYHvn269luT0Rsp25nO7Hyerb9rCF/TdhWIXz1r/57YXtbTEeDlCG+bShc9IXt\nD++xPf1kSOGysD32LUvYvr7HduX4LWyfgN7kLWx3IbEZsR0TU97rq+G2AAAXRklEQVTN+xxRzLuF\nbWVg9EUtnSU1Q2rRRjuS4tllW0uK020axp/RaPedBuGNY1++4rxqSGJdjh87LTfpmxYHPl8jf8mw\n9og0hVu+VHpBFJ9ak4rUiuwywrhh7os9jA3JNZltv/HjMbqjhtxVGXMOi76Ik5yX75W/CLnrAX7a\n4FUNfkZLLuuGQ/6CHKN0XItYkAGdEGcQuyvP2Zy2CVKyYyk9OrE7JutV5e4eeorlD4o9lN2yyF4z\ndOb6bNxvs33SIX/WonwHNA/62H3ZNWevyc7fKxvGn+5hXAO+FPZiVQG1dliTKMkxTMegeCakOyyN\n+TvFEaUVlSNiDdSakBd/GDe7xdHkqqQ2pGBpiG/5uM39V/B9t8cO234aOmOG9oQmfcNi4dNXyV/S\nLH7YeWO2JxTppT22Z7/cv53tHxO204t7bAdJRf68LFi5S7ewXdljO33DIX9xj20/ewvbWWHbrVnU\nD+yxff8/+bciTN+THXp8S4aw1h5xXsf22sMO2yeE7e27lLDdu4XtFUV8yzDx7e9guyLa4rUjmsSm\nQfnCduG8pjtiyJ+7ne3qIZvMjYhtT9jujCi8qiG1Ii14OmZwuoZYIxykLL6X8FM2YVxgUAHkLlu0\nxw0rH8rRGbHIXlGMvCIOuTpmaM2FJEvyS+4VFP2cZuGPy6IFEDP08wrtSjEgf0F2mZ2pkMxZT8ZV\nRyR9UTzTpHLE4fBvrQqIDfn1eBVDshQSxuHI73ejQQtpUPe2pY3MrUP+ckBqWSrezWkpWDQPaCon\nDfUjIWhY+JOqLIYpyZmlLsfAgqHzIVYg49+5sy6FC13Gn+1h+9JDamy48VMOiTWL3HlHRlqXRGxc\nGSjfJTY8vSHN1l02858pS19qS46lQdLQOhBKq1MMhs8EDL1msDuGWMvQGQOrt7Nw21SOegP5zbcg\ndtnuSedA7rJFe8Kw+AsH6Yxa5C5JgQ5ez3a3GLH9ByXKJzy0K96HO2wXXjPUjkB7OriN7cYBxUu/\n9StUjjoc/vVrez3CQKxmSK/6hHGY/htFfOsWtsvCdqwGxXN90osR27PCdmNeU75T2DaWWCqFnrAd\nJIRtY8Hoy75sFiK2i2da4oQSLYphXHH9p29nO7EB3aKc2sqnhPHekKZ8wmLh99dpzO+x7aeE7dph\n2dEPnwkoXDC4LXlrjyusHmAUlaM2tXkXPZDf/PuHjiHqUqNi0KldSC9Ji05mMSSxrWlM2fRzmvFn\nQuJrNhsPinbwTlP41Z8dYvJLazgdOcIVT8txbus+qUwnlm38FLTmQ4bPBHSmAxY/nMHqw42fnaI1\ntTcq2s8ragsO3WHD0gfTxLcN/ZyO/Pikl9I44KcsmgfkaGWFUqk2rrSo2S0Lp2tY/lBBWotaFnZX\nbjpGwfqDFvGyJr5p0Z40rHwgweZ9HsWnFjEKKneG5F+z6ExonK50crRHFakVC6cl0ps6JpZWlg/r\njw4RZkK8ikxlpVakiJTYkN9jY8rBWOC2oXpQXnzJdfEv0zFpvWKwQX7T41a2D/7uOtqB9KL8TXLX\nA+IVTWvMpl/QTH4zIL56C9vliO1/PMLE77wq3T3hHtulB2SKLrnk7LI9+lKfzlTA8f/x17C7cOOf\nHqQ9Ia1hSku6r3I0Rrdo2D5hkyhFbG8qLN9I95ED2lG7N2jLj9h29tiONQzbx13Rc2mJauKOs/Py\nBxwSt7C99KNp1t8Tp/hiGWOJ8/Qu2x1hu1cQLXGnpUjfsKNpPY0VwNpHJggzIbGqqBmmlxTZC8K2\nH7GNkd9FbSFieyNi243Y3qexLxdklBxnnIZi5UfipFc0E0+W8MqK7TttmQhKKIZfgc377N1iSOGi\ntLhlrtnES4rmyRG6w3o3F7bw/9ZJLVr0x8VLL39Fk75qs32Hg1OV7ysKWAY/Y+TFchPchiFe1hRf\nNSQ3pGXI7ipCT4COV0LsjugRJNbEombkZbEkGHnewm1Jq10/I19j+bLYVY5HTth9eWGVj4t9T3oR\nOhMBw6d9rv+nc7QnDU7TJlnSpBYtsjd97A50DvgULvoMnZOpwcI58TALkoZeHjIXZeDA6UjlPEhC\nZjkguR5NS11o0phVuG3p2ihc6qBC6QHtjIuh5CDe5FCQuS4u09d/boL0Ssj4N8p424rSKUcU4JKK\n4Zdg/T0uSovOb+GijBxnrtkkSor2YyfpjkghULtw8I+qpG/usZ27qslcsSndE8OtClfGkgK3n5H0\nVuaG8Bcva4Z32D4ibGtP8tfJTR+nBZv3uSRXpDc+f0V0K3bYzl6FXk766nfYLp+Ucf1dto9Jm1lq\nSdGZDBg+43Pjp4uvY7twoYPTFraHz/YpvCaTgENnDZv32XtsX3CJNQ1OB3oFCBOQv+qTWBO2Mze7\ntKYiHRAXChfat7Ft7U9Lvf25IKtQmrfHn++jbXGw8IspmgshbgNK90oBK3++gQpkWs9py93QT0cG\nn0Ow8phFfMsitaYJ4oqVx3Pyx33eoTOqKd0HfjrK81ak53gn7RGmtRz/JhTdIUVmqUfluCJe0TKu\nvCx/bGVg436Hfk7aauy+NNZvn5Qe3n5GqsHVI/JcuWuamX/1bbxtKf61xxVjz/oMv2pIbMqLonEA\nkssOK485xOqQvin+d5XDNliw/LiLdmHiKzZbd7p08xapNdnOxmqyW9IxAdEKI0HxpozLlo85u+Om\nix/Lkr2uaRwUdbjq4QQqhPQNGHkh0tsYxJsaKoQgDePP9NCuoXbQxh9K0jwY4jYjtmNQOFOVFFRR\n4zYjtlMyJNEtwvKP7rHtpxTLHyngJ6H4nLC9dS/0s5HU5y1sd4eE7fIdUnPpjCjSy33KJxTxqhaN\njWW1u7tdezhGryC7TcuX/uD6rA1aBOtVKJsAPw2FS5oL/9OnpLDtS4pl7Lk9thObhuasEbY/cAvb\nKxHbCm7+eEK0v//GYvOeGL28GByjhG2nrTAu0bCI5LudlrBdOuXuFidXHkuSu6ZpLgjblaNJ6Y9e\nVIy8oAZaFt9L2F0DGjbuj0Ujw4blx5Mc/KM+05/fILkmIilr78/RH9IkVy2a8yGFi5rUmty9x5/x\n0TGN04L2mKQLhk/30e6O0aRMECU2Df2sPIfTMdEOFpKLNnYPDnyuRvF8SG0+jt1R1A7aBBlNc1YW\nwOIZn+HTO/lrQy8vf+xEpJTmdOSYlL0mDsC9vGLznz9MatXQH9LE6rB5v0v5uEWQkna4wvmov7ii\n6Iwb4lUNWo5dO3f2RMlQOWqJI0gaRp9cxmuEuE0ZK134w02CBCQ3AwoXfdrTknPrFaX9L0hFehYx\nRfFFMXftjCq8KnTGFbGWxum+UwT84IbTkd3p+nu96IRlWHl/nIP/T4/pL2ySXBW2Vz84tOuV11gI\nKb4WklkRXYeJp32MK335rXFJD4y81BMVxIxChcJ2cl3Y9rMR2/Hb2R5/ps/QhZD6AU/YXthj2ygY\ne77H6MuBsF2UfDWWsIeKJG9dyF4VtjtDilP/5a+RXBO23absrHfY9upvwHZFah/JdbPbipbYNJRP\n2vQLsjt+6bd+hXglxGkZOhMBC7+7TJiA9Gqf8WeatKeln7o7LD+jnxa2g7ii+JKw3R0WK7POGDhd\nPXAM+V4i9GRR2+mXFdESw9rDCWqnhndzyo05TXzDoj2pmf/zACs0rHxQclelu10mvibOuPnLAe0x\nxdZdMdymQDR8WnKlxbMdZv+6TZg0NGcUQVIA9tOG5Cpc/0SWXsaiclwKa37a4FbERkfsmWz8pEWQ\nlGb0zmQovmZ5tasP4VUM1eM6sqISO53yXQbjSiU79AzpJYPbNGydisa6oxdcahkCT9E4GNIZUXRH\nRD4wtREy8qq4RHSLhspDU5SPOfQKCq/ksPEjIxjL0Bp3aY05HP69Bp2pELehdk01e3nILPWxfUPm\niugx1w+HjL4Y4DalCDmINzeCuBgFxLe/g+33JWkeH0LHvoPtCc3CZ3yMpVj6cKR9cbfL+NcVnVFD\n4XJAa0JRutvbZXvkZWF7+NUWC//XGsEO24lb2F6D1fe59FMWlROvZ7tfQCZds5ImiFUitpNmNwfb\nGYnYPqF3ay3x8h7b0kscsd0wlO5+Pduhp6gfls1Ad1jYzizLJsfqySL73v/k37B1p0s/F7H9oSm0\nbWhMe1SOpTj6G1u0p0NidbUrctTLQ/5SB6cbsZ2X4uP4cz5ua/+CvS8XZKVh8hst8pf7JNcsyee6\nAkz5pM3oSx3a4wanI2kDr2xRPu6x+gFI3XRw2ibaHcjxfeUDMouvXUDJTrY2b4GG5mycxY8kcJqK\n4TOhqF+tK/whTWJbk78saYmhc+B0JUfm5zTa0yTWDYGncHrSMB8kDbnz4iPWz0rT+o5leXwjUmZb\nFV80uy2uHN1RsWZPlKXk7LSkKh4moq8ry84kVrHpjmiK50Kmn9Js3uew/JjFxLf75K5ALyuGsK3Z\ngLEXArSrxI8wNJRPGZY+msOtys8c3xKDTR2TCa3aQSnKhJ7BaVisPWTTyzt4tf0L7rs1lIbpJ2rk\nrvu3s50ylE45TP/58h7bXWF7+444a+83pG84OB1DatXQy0Vsv9/G6UqxEGR8v3pILI7qC0mu/cI4\nTlMx8oqwnVxD2N7SFC6KmuHQWen6uI3tjR39F73LduGshdNW+BkRGbqNbUvYbk6/nu3kpnRhOC1F\nY3aPba8qi/sO24ULIq+79nCMlR9RzP9ZZbf24qcMrbmAsecDwohtKzRs3224+YnRXba97T22Vx5L\nUj1sEavvsb36iEPoWT/cbW9KqY8qpS4qpa4opf7l3/X5RsH2HUkqRz3GnuuRP6/wKoqpr/VRPtz8\nWDyyVRKB+iAlvZijz0hPY3pV7GH6WZmFj1Ut7L4syG5Dug7SK7Jol49LUSK9CK0xm/ZMgJ+F2JZN\nbcGmNamiqSDZeYcxQ2LVZubL0JwVxSzLF4Ustyk7bLXjfK0VxTNSpOmOh6RWNZ0R2dkMnRfnbLsn\n6YEgLl0WsuhDrGLRmjFsPCS/k8xNQ/6CojZn0xy3KZzX5C8ovO0u9XkYfqWJ3VEUztiUj0lOO7MY\n0py2iG9au73T+aua3LWAuS+0QUUFHg3NGcXsX8uRWHuG9rDkLAfx3eP7Ybt0f5bKoRjTTzbkb1hR\nzHylhwrg8n8+JWzXol7klKE1ucd2am3HsVqO4LG62k0duE05paWXDamVPbYzN6E5IWz3s4rYlk19\nzqY5bVE7aGEFUhzbYfvA5wzNWSifkEVvh20/LQW7wsVQ2D4tLWvd8ZDEpqE9Gu3aL0ZsdxVuWxMk\nFIkdtgN5PbZmDJsPymslvWTInxfLqOakzdgLAbmLFhgxjBj9dhm7K/rN5eMO/Twynj1j4ZVuZzt/\nLWD+s809tkMxi9hlO2ZoTtg/vBZOSikb+A/Ax4ATwM8qpU58t68R8Q8VFRFC+jmR7Svd60nrjy1H\nLLcB7QkZVZ77Yod+RkSFnHbIxNNdjI1UiwtaenFThvGvlOhMyBFJYBBlrMYCNOYMTt0mvaTJXTV0\nR7U4NdTEpUF+IMk3b93pkNiQ7onycRsViMZAmAA0FJ7bACL36a4htWQTeIrEprxoUmuSz9a2CMhs\n3SXat6MvdulMhix8+ioH/qoLWvKOfkqKg17NkF0SWdL6AtQPpfEqivVHMvSGNfWDhty1kOwNTWql\nQ2ZJ+p3Ty/LztsYtOkM2jQMJ4iWFcQz5y5rRF6X3deicqIK1ZgztycGC/N3i+2W7n5N2SdWXBdLy\nYeP++B7bjmic7LB94MtdelmL9pjC7oZMP9mQKct4NG0asT32rYqwPSJ/t/SSPF/9EDTmDW7dJr2i\nyV2RgRTtCtule29ne+MBl8SGIn/RsH1CRu7zV0QoHwPZvzy72xJp92QyztiQXtER275MjdrQHrMp\n3WNROmUxfKYvbP/eMnOfb4OW10YYF/dtr2bI3vDp5Swa84b60RxeWbHy4SK9YU1jQZO7FpK7pkls\ndMksinvQrWx3czb1QyniJenPzl3VjL0gKZ/iGcPh36/SmjG7J4r9Fm/HfeI9wBVjzDVjTB/4I+Cn\nvtsX2D1JKwRJRfmkVP6HLsqC0ZqOJuNqhomnxKVXxwy1hcSueE+36FA+7hG6kFnUFM4qYhWFV1as\nPz5C/rxFrCojyamNkOLvPM3QWUPxtFRyKycUhXN18uelB7Ofk57I5KaYnMZqCrfBbhEFIzuZzpCk\nRpSB2j2jgFShG3OSDw8TkhtPbho2740z98UAL0or7IiqWL6mcMZi9ZMHWfxQnHhJjp86hhRGaob6\njIPbNnhlRS8nI7hWTwwui68qmlNiC1U+kcIo8KrSGjTx7YDUuqY1qSifjHYzZxW1eYvqIYfOsIPS\nhn4hRrwk33cQ3zW+L7a7Q4Ygodh8MI8KofiaL7ZfMztTn4aRl1q7bDemPWxfTjLdYZfN+9MiL3s1\npHBuj+2NRwoUzlnEaobqcUhthow9scLwy+JM4tYUlWOK4ktlhs4Ki/0cJNf32Paq4gOpXejlrV22\nu3mRl1Uaqj95JyhQxlBfkNSDn1IEcVEa3LzHY/IbwqcKRGZTx8DqawqnLVZ/fJqbH0/ush3EI7ar\nmvqcS6yp8cqKTlGe0+6K3O3QGZHgLd2rqBxNYmy5oeywndzQNGcU5ROK7oihcE5RnxPh/25B2lo7\nMxniW2rfFvXecj1kpdQngY8aY/6z6P2fBx40xvyL7/i8XwJ+KXr3DuDsW3ph338MA1vv9EW8QbxV\n13XAGDPyFnzfd338gLG9X7mGt+ba9iXXzjt9ATthjPk08GkApdQL+1UUfb9e2369rkG8O9jer9cF\n+/va3ux4O1IWK8DMLe9PR48NYhDv9hiwPYg3Nd6OBfl54LBSal4pFQN+Bvjc2/C8gxjEWx0Dtgfx\npsZbnrIwxgRKqX8BfBmwgf/TGHPu7/iyT7/V1/X/I/brte3X6/qBjR8wtvfrdcH+vrY3Nfalyekg\nBjGIQfwwxj5tjx7EIAYxiB++GCzIgxjEIAaxT2LfLcjf6yjqm/zcM0qpp5RSrymlzimlfjl6fEgp\n9TdKqcvRv4XocaWU+vXoWk8rpe59i6/PVkq9rJT6QvT+vFLq2ej5/zgqLKGU8qL3r0Qfn3srr2sQ\nf3e8k1xHzz9g+10Q+2pB/n5GUd/kCID/xhhzAngv8M+j5/+XwJPGmMPAk9H7RNd5OHr7JeA33uLr\n+2Xg/C3v/2vg14wxh4AK8M+ix/8ZUIke/7Xo8wbxDsU+4BoGbL87whizb96Ah4Av3/L+rwK/+g5e\nz18AHwIuAhPRYxPAxej/vwn87C2fv/t5b8G1TCMvmMeBLwAKmV5yvvN3h1T9H4r+70Sfp97pv+8P\n69t+4zq6hgHb+/BtX+2QgSlg6Zb3l6PH3vaIjkL3AM8CY8aYtehD68BY9P+383r/HfDfsadSXASq\nxpjgDZ5797qij9eizx/EOxP7hmsYsL2fY78tyPsilFJp4DPAf22Mqd/6MSO35re1V1Ap9ePApjHm\nxbfzeQfxgxcDtvd37Bstiyje8VFUpZSLAPsHxpg/ix7eUEpNGGPWlFITwGb0+Nt1vY8AP6mU+jgQ\nB7LA/w7klVJOtFO49bl3rmtZKeUAOWD7LbiuQfz94h3nGgZsvxtiv+2Q39FRVKWUAn4HOG+M+be3\nfOhzwC9G//9FJP+28/gvRBXp9wK1W45/b1oYY37VGDNtjJlDfidfMcb8HPAU8Mm/5bp2rveT0ecP\nJoDeuXjHR6wHbL9L4p1OYr9Bgv/jwCXgKvA/vM3P/T7kyHYaeCV6+ziSo3oSuAw8AQxFn6+Q6vlV\n4Axw/9twjR8AvhD9fwF4DrgC/CngRY/Ho/evRB9feKf/rj/sb+8k19HzD9h+F7wNRqcHMYhBDGKf\nxH5LWQxiEIMYxA9tDBbkQQxiEIPYJzFYkAcxiEEMYp/EYEEexCAGMYh9EoMFeRCDGMQg9kkMFuRB\nDGIQg9gnMViQBzGIQQxin8T/B6ovl7vyPHkfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d3e5da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "ShowCDI() * FreePU() * cdi\n",
    "ShowCDI() * (1-ER()-1)**100 *cdi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}